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CGOpenMPRuntime.h | //===----- CGOpenMPRuntime.h - Interface to OpenMP Runtimes -----*- C++ -*-===//
//
// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
// See https://llvm.org/LICENSE.txt for license information.
// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
//
//===----------------------------------------------------------------------===//
//
// This provides a class for OpenMP runtime code generation.
//
//===----------------------------------------------------------------------===//
#ifndef LLVM_CLANG_LIB_CODEGEN_CGOPENMPRUNTIME_H
#define LLVM_CLANG_LIB_CODEGEN_CGOPENMPRUNTIME_H
#include "CGValue.h"
#include "clang/AST/DeclOpenMP.h"
#include "clang/AST/GlobalDecl.h"
#include "clang/AST/Type.h"
#include "clang/Basic/OpenMPKinds.h"
#include "clang/Basic/SourceLocation.h"
#include "llvm/ADT/DenseMap.h"
#include "llvm/ADT/SmallPtrSet.h"
#include "llvm/ADT/StringMap.h"
#include "llvm/ADT/StringSet.h"
#include "llvm/Frontend/OpenMP/OMPConstants.h"
#include "llvm/IR/Function.h"
#include "llvm/IR/ValueHandle.h"
namespace llvm {
class ArrayType;
class Constant;
class FunctionType;
class GlobalVariable;
class StructType;
class Type;
class Value;
} // namespace llvm
namespace clang {
class Expr;
class OMPDependClause;
class OMPExecutableDirective;
class OMPLoopDirective;
class VarDecl;
class OMPDeclareReductionDecl;
class IdentifierInfo;
namespace CodeGen {
class Address;
class CodeGenFunction;
class CodeGenModule;
/// A basic class for pre|post-action for advanced codegen sequence for OpenMP
/// region.
class PrePostActionTy {
public:
explicit PrePostActionTy() {}
virtual void Enter(CodeGenFunction &CGF) {}
virtual void Exit(CodeGenFunction &CGF) {}
virtual ~PrePostActionTy() {}
};
/// Class provides a way to call simple version of codegen for OpenMP region, or
/// an advanced with possible pre|post-actions in codegen.
class RegionCodeGenTy final {
intptr_t CodeGen;
typedef void (*CodeGenTy)(intptr_t, CodeGenFunction &, PrePostActionTy &);
CodeGenTy Callback;
mutable PrePostActionTy *PrePostAction;
RegionCodeGenTy() = delete;
RegionCodeGenTy &operator=(const RegionCodeGenTy &) = delete;
template <typename Callable>
static void CallbackFn(intptr_t CodeGen, CodeGenFunction &CGF,
PrePostActionTy &Action) {
return (*reinterpret_cast<Callable *>(CodeGen))(CGF, Action);
}
public:
template <typename Callable>
RegionCodeGenTy(
Callable &&CodeGen,
typename std::enable_if<
!std::is_same<typename std::remove_reference<Callable>::type,
RegionCodeGenTy>::value>::type * = nullptr)
: CodeGen(reinterpret_cast<intptr_t>(&CodeGen)),
Callback(CallbackFn<typename std::remove_reference<Callable>::type>),
PrePostAction(nullptr) {}
void setAction(PrePostActionTy &Action) const { PrePostAction = &Action; }
void operator()(CodeGenFunction &CGF) const;
};
struct OMPTaskDataTy final {
SmallVector<const Expr *, 4> PrivateVars;
SmallVector<const Expr *, 4> PrivateCopies;
SmallVector<const Expr *, 4> FirstprivateVars;
SmallVector<const Expr *, 4> FirstprivateCopies;
SmallVector<const Expr *, 4> FirstprivateInits;
SmallVector<const Expr *, 4> LastprivateVars;
SmallVector<const Expr *, 4> LastprivateCopies;
SmallVector<const Expr *, 4> ReductionVars;
SmallVector<const Expr *, 4> ReductionCopies;
SmallVector<const Expr *, 4> ReductionOps;
SmallVector<std::pair<OpenMPDependClauseKind, const Expr *>, 4> Dependences;
llvm::PointerIntPair<llvm::Value *, 1, bool> Final;
llvm::PointerIntPair<llvm::Value *, 1, bool> Schedule;
llvm::PointerIntPair<llvm::Value *, 1, bool> Priority;
llvm::Value *Reductions = nullptr;
unsigned NumberOfParts = 0;
bool Tied = true;
bool Nogroup = false;
};
/// Class intended to support codegen of all kind of the reduction clauses.
class ReductionCodeGen {
private:
/// Data required for codegen of reduction clauses.
struct ReductionData {
/// Reference to the original shared item.
const Expr *Ref = nullptr;
/// Helper expression for generation of private copy.
const Expr *Private = nullptr;
/// Helper expression for generation reduction operation.
const Expr *ReductionOp = nullptr;
ReductionData(const Expr *Ref, const Expr *Private, const Expr *ReductionOp)
: Ref(Ref), Private(Private), ReductionOp(ReductionOp) {}
};
/// List of reduction-based clauses.
SmallVector<ReductionData, 4> ClausesData;
/// List of addresses of original shared variables/expressions.
SmallVector<std::pair<LValue, LValue>, 4> SharedAddresses;
/// Sizes of the reduction items in chars.
SmallVector<std::pair<llvm::Value *, llvm::Value *>, 4> Sizes;
/// Base declarations for the reduction items.
SmallVector<const VarDecl *, 4> BaseDecls;
/// Emits lvalue for shared expression.
LValue emitSharedLValue(CodeGenFunction &CGF, const Expr *E);
/// Emits upper bound for shared expression (if array section).
LValue emitSharedLValueUB(CodeGenFunction &CGF, const Expr *E);
/// Performs aggregate initialization.
/// \param N Number of reduction item in the common list.
/// \param PrivateAddr Address of the corresponding private item.
/// \param SharedLVal Address of the original shared variable.
/// \param DRD Declare reduction construct used for reduction item.
void emitAggregateInitialization(CodeGenFunction &CGF, unsigned N,
Address PrivateAddr, LValue SharedLVal,
const OMPDeclareReductionDecl *DRD);
public:
ReductionCodeGen(ArrayRef<const Expr *> Shareds,
ArrayRef<const Expr *> Privates,
ArrayRef<const Expr *> ReductionOps);
/// Emits lvalue for a reduction item.
/// \param N Number of the reduction item.
void emitSharedLValue(CodeGenFunction &CGF, unsigned N);
/// Emits the code for the variable-modified type, if required.
/// \param N Number of the reduction item.
void emitAggregateType(CodeGenFunction &CGF, unsigned N);
/// Emits the code for the variable-modified type, if required.
/// \param N Number of the reduction item.
/// \param Size Size of the type in chars.
void emitAggregateType(CodeGenFunction &CGF, unsigned N, llvm::Value *Size);
/// Performs initialization of the private copy for the reduction item.
/// \param N Number of the reduction item.
/// \param PrivateAddr Address of the corresponding private item.
/// \param DefaultInit Default initialization sequence that should be
/// performed if no reduction specific initialization is found.
/// \param SharedLVal Address of the original shared variable.
void
emitInitialization(CodeGenFunction &CGF, unsigned N, Address PrivateAddr,
LValue SharedLVal,
llvm::function_ref<bool(CodeGenFunction &)> DefaultInit);
/// Returns true if the private copy requires cleanups.
bool needCleanups(unsigned N);
/// Emits cleanup code for the reduction item.
/// \param N Number of the reduction item.
/// \param PrivateAddr Address of the corresponding private item.
void emitCleanups(CodeGenFunction &CGF, unsigned N, Address PrivateAddr);
/// Adjusts \p PrivatedAddr for using instead of the original variable
/// address in normal operations.
/// \param N Number of the reduction item.
/// \param PrivateAddr Address of the corresponding private item.
Address adjustPrivateAddress(CodeGenFunction &CGF, unsigned N,
Address PrivateAddr);
/// Returns LValue for the reduction item.
LValue getSharedLValue(unsigned N) const { return SharedAddresses[N].first; }
/// Returns the size of the reduction item (in chars and total number of
/// elements in the item), or nullptr, if the size is a constant.
std::pair<llvm::Value *, llvm::Value *> getSizes(unsigned N) const {
return Sizes[N];
}
/// Returns the base declaration of the reduction item.
const VarDecl *getBaseDecl(unsigned N) const { return BaseDecls[N]; }
/// Returns the base declaration of the reduction item.
const Expr *getRefExpr(unsigned N) const { return ClausesData[N].Ref; }
/// Returns true if the initialization of the reduction item uses initializer
/// from declare reduction construct.
bool usesReductionInitializer(unsigned N) const;
};
class CGOpenMPRuntime {
public:
/// Allows to disable automatic handling of functions used in target regions
/// as those marked as `omp declare target`.
class DisableAutoDeclareTargetRAII {
CodeGenModule &CGM;
bool SavedShouldMarkAsGlobal;
public:
DisableAutoDeclareTargetRAII(CodeGenModule &CGM);
~DisableAutoDeclareTargetRAII();
};
/// Manages list of nontemporal decls for the specified directive.
class NontemporalDeclsRAII {
CodeGenModule &CGM;
const bool NeedToPush;
public:
NontemporalDeclsRAII(CodeGenModule &CGM, const OMPLoopDirective &S);
~NontemporalDeclsRAII();
};
/// Maps the expression for the lastprivate variable to the global copy used
/// to store new value because original variables are not mapped in inner
/// parallel regions. Only private copies are captured but we need also to
/// store private copy in shared address.
/// Also, stores the expression for the private loop counter and it
/// threaprivate name.
struct LastprivateConditionalData {
llvm::MapVector<CanonicalDeclPtr<const Decl>, SmallString<16>>
DeclToUniqueName;
LValue IVLVal;
llvm::Function *Fn = nullptr;
bool Disabled = false;
};
/// Manages list of lastprivate conditional decls for the specified directive.
class LastprivateConditionalRAII {
enum class ActionToDo {
DoNotPush,
PushAsLastprivateConditional,
DisableLastprivateConditional,
};
CodeGenModule &CGM;
ActionToDo Action = ActionToDo::DoNotPush;
/// Check and try to disable analysis of inner regions for changes in
/// lastprivate conditional.
void tryToDisableInnerAnalysis(const OMPExecutableDirective &S,
llvm::DenseSet<CanonicalDeclPtr<const Decl>>
&NeedToAddForLPCsAsDisabled) const;
LastprivateConditionalRAII(CodeGenFunction &CGF,
const OMPExecutableDirective &S);
public:
explicit LastprivateConditionalRAII(CodeGenFunction &CGF,
const OMPExecutableDirective &S,
LValue IVLVal);
static LastprivateConditionalRAII disable(CodeGenFunction &CGF,
const OMPExecutableDirective &S);
~LastprivateConditionalRAII();
};
protected:
CodeGenModule &CGM;
StringRef FirstSeparator, Separator;
/// Constructor allowing to redefine the name separator for the variables.
explicit CGOpenMPRuntime(CodeGenModule &CGM, StringRef FirstSeparator,
StringRef Separator);
/// Creates offloading entry for the provided entry ID \a ID,
/// address \a Addr, size \a Size, and flags \a Flags.
virtual void createOffloadEntry(llvm::Constant *ID, llvm::Constant *Addr,
uint64_t Size, int32_t Flags,
llvm::GlobalValue::LinkageTypes Linkage);
/// Helper to emit outlined function for 'target' directive.
/// \param D Directive to emit.
/// \param ParentName Name of the function that encloses the target region.
/// \param OutlinedFn Outlined function value to be defined by this call.
/// \param OutlinedFnID Outlined function ID value to be defined by this call.
/// \param IsOffloadEntry True if the outlined function is an offload entry.
/// \param CodeGen Lambda codegen specific to an accelerator device.
/// An outlined function may not be an entry if, e.g. the if clause always
/// evaluates to false.
virtual void emitTargetOutlinedFunctionHelper(const OMPExecutableDirective &D,
StringRef ParentName,
llvm::Function *&OutlinedFn,
llvm::Constant *&OutlinedFnID,
bool IsOffloadEntry,
const RegionCodeGenTy &CodeGen);
/// Emits object of ident_t type with info for source location.
/// \param Flags Flags for OpenMP location.
///
llvm::Value *emitUpdateLocation(CodeGenFunction &CGF, SourceLocation Loc,
unsigned Flags = 0);
/// Returns pointer to ident_t type.
llvm::Type *getIdentTyPointerTy();
/// Gets thread id value for the current thread.
///
llvm::Value *getThreadID(CodeGenFunction &CGF, SourceLocation Loc);
/// Get the function name of an outlined region.
// The name can be customized depending on the target.
//
virtual StringRef getOutlinedHelperName() const { return ".omp_outlined."; }
/// Emits \p Callee function call with arguments \p Args with location \p Loc.
void emitCall(CodeGenFunction &CGF, SourceLocation Loc,
llvm::FunctionCallee Callee,
ArrayRef<llvm::Value *> Args = llvm::None) const;
/// Emits address of the word in a memory where current thread id is
/// stored.
virtual Address emitThreadIDAddress(CodeGenFunction &CGF, SourceLocation Loc);
void setLocThreadIdInsertPt(CodeGenFunction &CGF,
bool AtCurrentPoint = false);
void clearLocThreadIdInsertPt(CodeGenFunction &CGF);
/// Check if the default location must be constant.
/// Default is false to support OMPT/OMPD.
virtual bool isDefaultLocationConstant() const { return false; }
/// Returns additional flags that can be stored in reserved_2 field of the
/// default location.
virtual unsigned getDefaultLocationReserved2Flags() const { return 0; }
/// Tries to emit declare variant function for \p OldGD from \p NewGD.
/// \param OrigAddr LLVM IR value for \p OldGD.
/// \param IsForDefinition true, if requested emission for the definition of
/// \p OldGD.
/// \returns true, was able to emit a definition function for \p OldGD, which
/// points to \p NewGD.
virtual bool tryEmitDeclareVariant(const GlobalDecl &NewGD,
const GlobalDecl &OldGD,
llvm::GlobalValue *OrigAddr,
bool IsForDefinition);
/// Returns default flags for the barriers depending on the directive, for
/// which this barier is going to be emitted.
static unsigned getDefaultFlagsForBarriers(OpenMPDirectiveKind Kind);
/// Get the LLVM type for the critical name.
llvm::ArrayType *getKmpCriticalNameTy() const {return KmpCriticalNameTy;}
/// Returns corresponding lock object for the specified critical region
/// name. If the lock object does not exist it is created, otherwise the
/// reference to the existing copy is returned.
/// \param CriticalName Name of the critical region.
///
llvm::Value *getCriticalRegionLock(StringRef CriticalName);
private:
/// Default const ident_t object used for initialization of all other
/// ident_t objects.
llvm::Constant *DefaultOpenMPPSource = nullptr;
using FlagsTy = std::pair<unsigned, unsigned>;
/// Map of flags and corresponding default locations.
using OpenMPDefaultLocMapTy = llvm::DenseMap<FlagsTy, llvm::Value *>;
OpenMPDefaultLocMapTy OpenMPDefaultLocMap;
Address getOrCreateDefaultLocation(unsigned Flags);
QualType IdentQTy;
llvm::StructType *IdentTy = nullptr;
/// Map for SourceLocation and OpenMP runtime library debug locations.
typedef llvm::DenseMap<unsigned, llvm::Value *> OpenMPDebugLocMapTy;
OpenMPDebugLocMapTy OpenMPDebugLocMap;
/// The type for a microtask which gets passed to __kmpc_fork_call().
/// Original representation is:
/// typedef void (kmpc_micro)(kmp_int32 global_tid, kmp_int32 bound_tid,...);
llvm::FunctionType *Kmpc_MicroTy = nullptr;
/// Stores debug location and ThreadID for the function.
struct DebugLocThreadIdTy {
llvm::Value *DebugLoc;
llvm::Value *ThreadID;
/// Insert point for the service instructions.
llvm::AssertingVH<llvm::Instruction> ServiceInsertPt = nullptr;
};
/// Map of local debug location, ThreadId and functions.
typedef llvm::DenseMap<llvm::Function *, DebugLocThreadIdTy>
OpenMPLocThreadIDMapTy;
OpenMPLocThreadIDMapTy OpenMPLocThreadIDMap;
/// Map of UDRs and corresponding combiner/initializer.
typedef llvm::DenseMap<const OMPDeclareReductionDecl *,
std::pair<llvm::Function *, llvm::Function *>>
UDRMapTy;
UDRMapTy UDRMap;
/// Map of functions and locally defined UDRs.
typedef llvm::DenseMap<llvm::Function *,
SmallVector<const OMPDeclareReductionDecl *, 4>>
FunctionUDRMapTy;
FunctionUDRMapTy FunctionUDRMap;
/// Map from the user-defined mapper declaration to its corresponding
/// functions.
llvm::DenseMap<const OMPDeclareMapperDecl *, llvm::Function *> UDMMap;
/// Map of functions and their local user-defined mappers.
using FunctionUDMMapTy =
llvm::DenseMap<llvm::Function *,
SmallVector<const OMPDeclareMapperDecl *, 4>>;
FunctionUDMMapTy FunctionUDMMap;
/// Maps local variables marked as lastprivate conditional to their internal
/// types.
llvm::DenseMap<llvm::Function *,
llvm::DenseMap<CanonicalDeclPtr<const Decl>,
std::tuple<QualType, const FieldDecl *,
const FieldDecl *, LValue>>>
LastprivateConditionalToTypes;
/// Type kmp_critical_name, originally defined as typedef kmp_int32
/// kmp_critical_name[8];
llvm::ArrayType *KmpCriticalNameTy;
/// An ordered map of auto-generated variables to their unique names.
/// It stores variables with the following names: 1) ".gomp_critical_user_" +
/// <critical_section_name> + ".var" for "omp critical" directives; 2)
/// <mangled_name_for_global_var> + ".cache." for cache for threadprivate
/// variables.
llvm::StringMap<llvm::AssertingVH<llvm::Constant>, llvm::BumpPtrAllocator>
InternalVars;
/// Type typedef kmp_int32 (* kmp_routine_entry_t)(kmp_int32, void *);
llvm::Type *KmpRoutineEntryPtrTy = nullptr;
QualType KmpRoutineEntryPtrQTy;
/// Type typedef struct kmp_task {
/// void * shareds; /**< pointer to block of pointers to
/// shared vars */
/// kmp_routine_entry_t routine; /**< pointer to routine to call for
/// executing task */
/// kmp_int32 part_id; /**< part id for the task */
/// kmp_routine_entry_t destructors; /* pointer to function to invoke
/// deconstructors of firstprivate C++ objects */
/// } kmp_task_t;
QualType KmpTaskTQTy;
/// Saved kmp_task_t for task directive.
QualType SavedKmpTaskTQTy;
/// Saved kmp_task_t for taskloop-based directive.
QualType SavedKmpTaskloopTQTy;
/// Type typedef struct kmp_depend_info {
/// kmp_intptr_t base_addr;
/// size_t len;
/// struct {
/// bool in:1;
/// bool out:1;
/// } flags;
/// } kmp_depend_info_t;
QualType KmpDependInfoTy;
/// struct kmp_dim { // loop bounds info casted to kmp_int64
/// kmp_int64 lo; // lower
/// kmp_int64 up; // upper
/// kmp_int64 st; // stride
/// };
QualType KmpDimTy;
/// Type struct __tgt_offload_entry{
/// void *addr; // Pointer to the offload entry info.
/// // (function or global)
/// char *name; // Name of the function or global.
/// size_t size; // Size of the entry info (0 if it a function).
/// int32_t flags;
/// int32_t reserved;
/// };
QualType TgtOffloadEntryQTy;
/// Entity that registers the offloading constants that were emitted so
/// far.
class OffloadEntriesInfoManagerTy {
CodeGenModule &CGM;
/// Number of entries registered so far.
unsigned OffloadingEntriesNum = 0;
public:
/// Base class of the entries info.
class OffloadEntryInfo {
public:
/// Kind of a given entry.
enum OffloadingEntryInfoKinds : unsigned {
/// Entry is a target region.
OffloadingEntryInfoTargetRegion = 0,
/// Entry is a declare target variable.
OffloadingEntryInfoDeviceGlobalVar = 1,
/// Invalid entry info.
OffloadingEntryInfoInvalid = ~0u
};
protected:
OffloadEntryInfo() = delete;
explicit OffloadEntryInfo(OffloadingEntryInfoKinds Kind) : Kind(Kind) {}
explicit OffloadEntryInfo(OffloadingEntryInfoKinds Kind, unsigned Order,
uint32_t Flags)
: Flags(Flags), Order(Order), Kind(Kind) {}
~OffloadEntryInfo() = default;
public:
bool isValid() const { return Order != ~0u; }
unsigned getOrder() const { return Order; }
OffloadingEntryInfoKinds getKind() const { return Kind; }
uint32_t getFlags() const { return Flags; }
void setFlags(uint32_t NewFlags) { Flags = NewFlags; }
llvm::Constant *getAddress() const {
return cast_or_null<llvm::Constant>(Addr);
}
void setAddress(llvm::Constant *V) {
assert(!Addr.pointsToAliveValue() && "Address has been set before!");
Addr = V;
}
static bool classof(const OffloadEntryInfo *Info) { return true; }
private:
/// Address of the entity that has to be mapped for offloading.
llvm::WeakTrackingVH Addr;
/// Flags associated with the device global.
uint32_t Flags = 0u;
/// Order this entry was emitted.
unsigned Order = ~0u;
OffloadingEntryInfoKinds Kind = OffloadingEntryInfoInvalid;
};
/// Return true if a there are no entries defined.
bool empty() const;
/// Return number of entries defined so far.
unsigned size() const { return OffloadingEntriesNum; }
OffloadEntriesInfoManagerTy(CodeGenModule &CGM) : CGM(CGM) {}
//
// Target region entries related.
//
/// Kind of the target registry entry.
enum OMPTargetRegionEntryKind : uint32_t {
/// Mark the entry as target region.
OMPTargetRegionEntryTargetRegion = 0x0,
/// Mark the entry as a global constructor.
OMPTargetRegionEntryCtor = 0x02,
/// Mark the entry as a global destructor.
OMPTargetRegionEntryDtor = 0x04,
};
/// Target region entries info.
class OffloadEntryInfoTargetRegion final : public OffloadEntryInfo {
/// Address that can be used as the ID of the entry.
llvm::Constant *ID = nullptr;
public:
OffloadEntryInfoTargetRegion()
: OffloadEntryInfo(OffloadingEntryInfoTargetRegion) {}
explicit OffloadEntryInfoTargetRegion(unsigned Order,
llvm::Constant *Addr,
llvm::Constant *ID,
OMPTargetRegionEntryKind Flags)
: OffloadEntryInfo(OffloadingEntryInfoTargetRegion, Order, Flags),
ID(ID) {
setAddress(Addr);
}
llvm::Constant *getID() const { return ID; }
void setID(llvm::Constant *V) {
assert(!ID && "ID has been set before!");
ID = V;
}
static bool classof(const OffloadEntryInfo *Info) {
return Info->getKind() == OffloadingEntryInfoTargetRegion;
}
};
/// Initialize target region entry.
void initializeTargetRegionEntryInfo(unsigned DeviceID, unsigned FileID,
StringRef ParentName, unsigned LineNum,
unsigned Order);
/// Register target region entry.
void registerTargetRegionEntryInfo(unsigned DeviceID, unsigned FileID,
StringRef ParentName, unsigned LineNum,
llvm::Constant *Addr, llvm::Constant *ID,
OMPTargetRegionEntryKind Flags);
/// Return true if a target region entry with the provided information
/// exists.
bool hasTargetRegionEntryInfo(unsigned DeviceID, unsigned FileID,
StringRef ParentName, unsigned LineNum) const;
/// brief Applies action \a Action on all registered entries.
typedef llvm::function_ref<void(unsigned, unsigned, StringRef, unsigned,
const OffloadEntryInfoTargetRegion &)>
OffloadTargetRegionEntryInfoActTy;
void actOnTargetRegionEntriesInfo(
const OffloadTargetRegionEntryInfoActTy &Action);
//
// Device global variable entries related.
//
/// Kind of the global variable entry..
enum OMPTargetGlobalVarEntryKind : uint32_t {
/// Mark the entry as a to declare target.
OMPTargetGlobalVarEntryTo = 0x0,
/// Mark the entry as a to declare target link.
OMPTargetGlobalVarEntryLink = 0x1,
};
/// Device global variable entries info.
class OffloadEntryInfoDeviceGlobalVar final : public OffloadEntryInfo {
/// Type of the global variable.
CharUnits VarSize;
llvm::GlobalValue::LinkageTypes Linkage;
public:
OffloadEntryInfoDeviceGlobalVar()
: OffloadEntryInfo(OffloadingEntryInfoDeviceGlobalVar) {}
explicit OffloadEntryInfoDeviceGlobalVar(unsigned Order,
OMPTargetGlobalVarEntryKind Flags)
: OffloadEntryInfo(OffloadingEntryInfoDeviceGlobalVar, Order, Flags) {}
explicit OffloadEntryInfoDeviceGlobalVar(
unsigned Order, llvm::Constant *Addr, CharUnits VarSize,
OMPTargetGlobalVarEntryKind Flags,
llvm::GlobalValue::LinkageTypes Linkage)
: OffloadEntryInfo(OffloadingEntryInfoDeviceGlobalVar, Order, Flags),
VarSize(VarSize), Linkage(Linkage) {
setAddress(Addr);
}
CharUnits getVarSize() const { return VarSize; }
void setVarSize(CharUnits Size) { VarSize = Size; }
llvm::GlobalValue::LinkageTypes getLinkage() const { return Linkage; }
void setLinkage(llvm::GlobalValue::LinkageTypes LT) { Linkage = LT; }
static bool classof(const OffloadEntryInfo *Info) {
return Info->getKind() == OffloadingEntryInfoDeviceGlobalVar;
}
};
/// Initialize device global variable entry.
void initializeDeviceGlobalVarEntryInfo(StringRef Name,
OMPTargetGlobalVarEntryKind Flags,
unsigned Order);
/// Register device global variable entry.
void
registerDeviceGlobalVarEntryInfo(StringRef VarName, llvm::Constant *Addr,
CharUnits VarSize,
OMPTargetGlobalVarEntryKind Flags,
llvm::GlobalValue::LinkageTypes Linkage);
/// Checks if the variable with the given name has been registered already.
bool hasDeviceGlobalVarEntryInfo(StringRef VarName) const {
return OffloadEntriesDeviceGlobalVar.count(VarName) > 0;
}
/// Applies action \a Action on all registered entries.
typedef llvm::function_ref<void(StringRef,
const OffloadEntryInfoDeviceGlobalVar &)>
OffloadDeviceGlobalVarEntryInfoActTy;
void actOnDeviceGlobalVarEntriesInfo(
const OffloadDeviceGlobalVarEntryInfoActTy &Action);
private:
// Storage for target region entries kind. The storage is to be indexed by
// file ID, device ID, parent function name and line number.
typedef llvm::DenseMap<unsigned, OffloadEntryInfoTargetRegion>
OffloadEntriesTargetRegionPerLine;
typedef llvm::StringMap<OffloadEntriesTargetRegionPerLine>
OffloadEntriesTargetRegionPerParentName;
typedef llvm::DenseMap<unsigned, OffloadEntriesTargetRegionPerParentName>
OffloadEntriesTargetRegionPerFile;
typedef llvm::DenseMap<unsigned, OffloadEntriesTargetRegionPerFile>
OffloadEntriesTargetRegionPerDevice;
typedef OffloadEntriesTargetRegionPerDevice OffloadEntriesTargetRegionTy;
OffloadEntriesTargetRegionTy OffloadEntriesTargetRegion;
/// Storage for device global variable entries kind. The storage is to be
/// indexed by mangled name.
typedef llvm::StringMap<OffloadEntryInfoDeviceGlobalVar>
OffloadEntriesDeviceGlobalVarTy;
OffloadEntriesDeviceGlobalVarTy OffloadEntriesDeviceGlobalVar;
};
OffloadEntriesInfoManagerTy OffloadEntriesInfoManager;
bool ShouldMarkAsGlobal = true;
/// List of the emitted declarations.
llvm::DenseSet<CanonicalDeclPtr<const Decl>> AlreadyEmittedTargetDecls;
/// List of the global variables with their addresses that should not be
/// emitted for the target.
llvm::StringMap<llvm::WeakTrackingVH> EmittedNonTargetVariables;
/// List of variables that can become declare target implicitly and, thus,
/// must be emitted.
llvm::SmallDenseSet<const VarDecl *> DeferredGlobalVariables;
/// Mapping of the original functions to their variants and original global
/// decl.
llvm::MapVector<CanonicalDeclPtr<const FunctionDecl>,
std::pair<GlobalDecl, GlobalDecl>>
DeferredVariantFunction;
using NontemporalDeclsSet = llvm::SmallDenseSet<CanonicalDeclPtr<const Decl>>;
/// Stack for list of declarations in current context marked as nontemporal.
/// The set is the union of all current stack elements.
llvm::SmallVector<NontemporalDeclsSet, 4> NontemporalDeclsStack;
/// Stack for list of addresses of declarations in current context marked as
/// lastprivate conditional. The set is the union of all current stack
/// elements.
llvm::SmallVector<LastprivateConditionalData, 4> LastprivateConditionalStack;
/// Flag for keeping track of weather a requires unified_shared_memory
/// directive is present.
bool HasRequiresUnifiedSharedMemory = false;
/// Flag for keeping track of weather a target region has been emitted.
bool HasEmittedTargetRegion = false;
/// Flag for keeping track of weather a device routine has been emitted.
/// Device routines are specific to the
bool HasEmittedDeclareTargetRegion = false;
/// Loads all the offload entries information from the host IR
/// metadata.
void loadOffloadInfoMetadata();
/// Returns __tgt_offload_entry type.
QualType getTgtOffloadEntryQTy();
/// Start scanning from statement \a S and and emit all target regions
/// found along the way.
/// \param S Starting statement.
/// \param ParentName Name of the function declaration that is being scanned.
void scanForTargetRegionsFunctions(const Stmt *S, StringRef ParentName);
/// Build type kmp_routine_entry_t (if not built yet).
void emitKmpRoutineEntryT(QualType KmpInt32Ty);
/// Returns pointer to kmpc_micro type.
llvm::Type *getKmpc_MicroPointerTy();
/// Returns specified OpenMP runtime function.
/// \param Function OpenMP runtime function.
/// \return Specified function.
llvm::FunctionCallee createRuntimeFunction(unsigned Function);
/// Returns __kmpc_for_static_init_* runtime function for the specified
/// size \a IVSize and sign \a IVSigned.
llvm::FunctionCallee createForStaticInitFunction(unsigned IVSize,
bool IVSigned);
/// Returns __kmpc_dispatch_init_* runtime function for the specified
/// size \a IVSize and sign \a IVSigned.
llvm::FunctionCallee createDispatchInitFunction(unsigned IVSize,
bool IVSigned);
/// Returns __kmpc_dispatch_next_* runtime function for the specified
/// size \a IVSize and sign \a IVSigned.
llvm::FunctionCallee createDispatchNextFunction(unsigned IVSize,
bool IVSigned);
/// Returns __kmpc_dispatch_fini_* runtime function for the specified
/// size \a IVSize and sign \a IVSigned.
llvm::FunctionCallee createDispatchFiniFunction(unsigned IVSize,
bool IVSigned);
/// If the specified mangled name is not in the module, create and
/// return threadprivate cache object. This object is a pointer's worth of
/// storage that's reserved for use by the OpenMP runtime.
/// \param VD Threadprivate variable.
/// \return Cache variable for the specified threadprivate.
llvm::Constant *getOrCreateThreadPrivateCache(const VarDecl *VD);
/// Gets (if variable with the given name already exist) or creates
/// internal global variable with the specified Name. The created variable has
/// linkage CommonLinkage by default and is initialized by null value.
/// \param Ty Type of the global variable. If it is exist already the type
/// must be the same.
/// \param Name Name of the variable.
llvm::Constant *getOrCreateInternalVariable(llvm::Type *Ty,
const llvm::Twine &Name,
unsigned AddressSpace = 0);
/// Set of threadprivate variables with the generated initializer.
llvm::StringSet<> ThreadPrivateWithDefinition;
/// Set of declare target variables with the generated initializer.
llvm::StringSet<> DeclareTargetWithDefinition;
/// Emits initialization code for the threadprivate variables.
/// \param VDAddr Address of the global variable \a VD.
/// \param Ctor Pointer to a global init function for \a VD.
/// \param CopyCtor Pointer to a global copy function for \a VD.
/// \param Dtor Pointer to a global destructor function for \a VD.
/// \param Loc Location of threadprivate declaration.
void emitThreadPrivateVarInit(CodeGenFunction &CGF, Address VDAddr,
llvm::Value *Ctor, llvm::Value *CopyCtor,
llvm::Value *Dtor, SourceLocation Loc);
/// Emit the array initialization or deletion portion for user-defined mapper
/// code generation.
void emitUDMapperArrayInitOrDel(CodeGenFunction &MapperCGF,
llvm::Value *Handle, llvm::Value *BasePtr,
llvm::Value *Ptr, llvm::Value *Size,
llvm::Value *MapType, CharUnits ElementSize,
llvm::BasicBlock *ExitBB, bool IsInit);
struct TaskResultTy {
llvm::Value *NewTask = nullptr;
llvm::Function *TaskEntry = nullptr;
llvm::Value *NewTaskNewTaskTTy = nullptr;
LValue TDBase;
const RecordDecl *KmpTaskTQTyRD = nullptr;
llvm::Value *TaskDupFn = nullptr;
};
/// Emit task region for the task directive. The task region is emitted in
/// several steps:
/// 1. Emit a call to kmp_task_t *__kmpc_omp_task_alloc(ident_t *, kmp_int32
/// gtid, kmp_int32 flags, size_t sizeof_kmp_task_t, size_t sizeof_shareds,
/// kmp_routine_entry_t *task_entry). Here task_entry is a pointer to the
/// function:
/// kmp_int32 .omp_task_entry.(kmp_int32 gtid, kmp_task_t *tt) {
/// TaskFunction(gtid, tt->part_id, tt->shareds);
/// return 0;
/// }
/// 2. Copy a list of shared variables to field shareds of the resulting
/// structure kmp_task_t returned by the previous call (if any).
/// 3. Copy a pointer to destructions function to field destructions of the
/// resulting structure kmp_task_t.
/// \param D Current task directive.
/// \param TaskFunction An LLVM function with type void (*)(i32 /*gtid*/, i32
/// /*part_id*/, captured_struct */*__context*/);
/// \param SharedsTy A type which contains references the shared variables.
/// \param Shareds Context with the list of shared variables from the \p
/// TaskFunction.
/// \param Data Additional data for task generation like tiednsee, final
/// state, list of privates etc.
TaskResultTy emitTaskInit(CodeGenFunction &CGF, SourceLocation Loc,
const OMPExecutableDirective &D,
llvm::Function *TaskFunction, QualType SharedsTy,
Address Shareds, const OMPTaskDataTy &Data);
/// Returns default address space for the constant firstprivates, 0 by
/// default.
virtual unsigned getDefaultFirstprivateAddressSpace() const { return 0; }
/// Emit code that pushes the trip count of loops associated with constructs
/// 'target teams distribute' and 'teams distribute parallel for'.
/// \param SizeEmitter Emits the int64 value for the number of iterations of
/// the associated loop.
void emitTargetNumIterationsCall(
CodeGenFunction &CGF, const OMPExecutableDirective &D,
llvm::Value *DeviceID,
llvm::function_ref<llvm::Value *(CodeGenFunction &CGF,
const OMPLoopDirective &D)>
SizeEmitter);
/// Emit update for lastprivate conditional data.
void emitLastprivateConditionalUpdate(CodeGenFunction &CGF, LValue IVLVal,
StringRef UniqueDeclName, LValue LVal,
SourceLocation Loc);
public:
explicit CGOpenMPRuntime(CodeGenModule &CGM)
: CGOpenMPRuntime(CGM, ".", ".") {}
virtual ~CGOpenMPRuntime() {}
virtual void clear();
/// Emits code for OpenMP 'if' clause using specified \a CodeGen
/// function. Here is the logic:
/// if (Cond) {
/// ThenGen();
/// } else {
/// ElseGen();
/// }
void emitIfClause(CodeGenFunction &CGF, const Expr *Cond,
const RegionCodeGenTy &ThenGen,
const RegionCodeGenTy &ElseGen);
/// Checks if the \p Body is the \a CompoundStmt and returns its child
/// statement iff there is only one that is not evaluatable at the compile
/// time.
static const Stmt *getSingleCompoundChild(ASTContext &Ctx, const Stmt *Body);
/// Get the platform-specific name separator.
std::string getName(ArrayRef<StringRef> Parts) const;
/// Emit code for the specified user defined reduction construct.
virtual void emitUserDefinedReduction(CodeGenFunction *CGF,
const OMPDeclareReductionDecl *D);
/// Get combiner/initializer for the specified user-defined reduction, if any.
virtual std::pair<llvm::Function *, llvm::Function *>
getUserDefinedReduction(const OMPDeclareReductionDecl *D);
/// Emit the function for the user defined mapper construct.
void emitUserDefinedMapper(const OMPDeclareMapperDecl *D,
CodeGenFunction *CGF = nullptr);
/// Emits outlined function for the specified OpenMP parallel directive
/// \a D. This outlined function has type void(*)(kmp_int32 *ThreadID,
/// kmp_int32 BoundID, struct context_vars*).
/// \param D OpenMP directive.
/// \param ThreadIDVar Variable for thread id in the current OpenMP region.
/// \param InnermostKind Kind of innermost directive (for simple directives it
/// is a directive itself, for combined - its innermost directive).
/// \param CodeGen Code generation sequence for the \a D directive.
virtual llvm::Function *emitParallelOutlinedFunction(
const OMPExecutableDirective &D, const VarDecl *ThreadIDVar,
OpenMPDirectiveKind InnermostKind, const RegionCodeGenTy &CodeGen);
/// Emits outlined function for the specified OpenMP teams directive
/// \a D. This outlined function has type void(*)(kmp_int32 *ThreadID,
/// kmp_int32 BoundID, struct context_vars*).
/// \param D OpenMP directive.
/// \param ThreadIDVar Variable for thread id in the current OpenMP region.
/// \param InnermostKind Kind of innermost directive (for simple directives it
/// is a directive itself, for combined - its innermost directive).
/// \param CodeGen Code generation sequence for the \a D directive.
virtual llvm::Function *emitTeamsOutlinedFunction(
const OMPExecutableDirective &D, const VarDecl *ThreadIDVar,
OpenMPDirectiveKind InnermostKind, const RegionCodeGenTy &CodeGen);
/// Emits outlined function for the OpenMP task directive \a D. This
/// outlined function has type void(*)(kmp_int32 ThreadID, struct task_t*
/// TaskT).
/// \param D OpenMP directive.
/// \param ThreadIDVar Variable for thread id in the current OpenMP region.
/// \param PartIDVar Variable for partition id in the current OpenMP untied
/// task region.
/// \param TaskTVar Variable for task_t argument.
/// \param InnermostKind Kind of innermost directive (for simple directives it
/// is a directive itself, for combined - its innermost directive).
/// \param CodeGen Code generation sequence for the \a D directive.
/// \param Tied true if task is generated for tied task, false otherwise.
/// \param NumberOfParts Number of parts in untied task. Ignored for tied
/// tasks.
///
virtual llvm::Function *emitTaskOutlinedFunction(
const OMPExecutableDirective &D, const VarDecl *ThreadIDVar,
const VarDecl *PartIDVar, const VarDecl *TaskTVar,
OpenMPDirectiveKind InnermostKind, const RegionCodeGenTy &CodeGen,
bool Tied, unsigned &NumberOfParts);
/// Cleans up references to the objects in finished function.
///
virtual void functionFinished(CodeGenFunction &CGF);
/// Emits code for parallel or serial call of the \a OutlinedFn with
/// variables captured in a record which address is stored in \a
/// CapturedStruct.
/// \param OutlinedFn Outlined function to be run in parallel threads. Type of
/// this function is void(*)(kmp_int32 *, kmp_int32, struct context_vars*).
/// \param CapturedVars A pointer to the record with the references to
/// variables used in \a OutlinedFn function.
/// \param IfCond Condition in the associated 'if' clause, if it was
/// specified, nullptr otherwise.
///
virtual void emitParallelCall(CodeGenFunction &CGF, SourceLocation Loc,
llvm::Function *OutlinedFn,
ArrayRef<llvm::Value *> CapturedVars,
const Expr *IfCond);
/// Emits a critical region.
/// \param CriticalName Name of the critical region.
/// \param CriticalOpGen Generator for the statement associated with the given
/// critical region.
/// \param Hint Value of the 'hint' clause (optional).
virtual void emitCriticalRegion(CodeGenFunction &CGF, StringRef CriticalName,
const RegionCodeGenTy &CriticalOpGen,
SourceLocation Loc,
const Expr *Hint = nullptr);
/// Emits a master region.
/// \param MasterOpGen Generator for the statement associated with the given
/// master region.
virtual void emitMasterRegion(CodeGenFunction &CGF,
const RegionCodeGenTy &MasterOpGen,
SourceLocation Loc);
/// Emits code for a taskyield directive.
virtual void emitTaskyieldCall(CodeGenFunction &CGF, SourceLocation Loc);
/// Emit a taskgroup region.
/// \param TaskgroupOpGen Generator for the statement associated with the
/// given taskgroup region.
virtual void emitTaskgroupRegion(CodeGenFunction &CGF,
const RegionCodeGenTy &TaskgroupOpGen,
SourceLocation Loc);
/// Emits a single region.
/// \param SingleOpGen Generator for the statement associated with the given
/// single region.
virtual void emitSingleRegion(CodeGenFunction &CGF,
const RegionCodeGenTy &SingleOpGen,
SourceLocation Loc,
ArrayRef<const Expr *> CopyprivateVars,
ArrayRef<const Expr *> DestExprs,
ArrayRef<const Expr *> SrcExprs,
ArrayRef<const Expr *> AssignmentOps);
/// Emit an ordered region.
/// \param OrderedOpGen Generator for the statement associated with the given
/// ordered region.
virtual void emitOrderedRegion(CodeGenFunction &CGF,
const RegionCodeGenTy &OrderedOpGen,
SourceLocation Loc, bool IsThreads);
/// Emit an implicit/explicit barrier for OpenMP threads.
/// \param Kind Directive for which this implicit barrier call must be
/// generated. Must be OMPD_barrier for explicit barrier generation.
/// \param EmitChecks true if need to emit checks for cancellation barriers.
/// \param ForceSimpleCall true simple barrier call must be emitted, false if
/// runtime class decides which one to emit (simple or with cancellation
/// checks).
///
virtual void emitBarrierCall(CodeGenFunction &CGF, SourceLocation Loc,
OpenMPDirectiveKind Kind,
bool EmitChecks = true,
bool ForceSimpleCall = false);
/// Check if the specified \a ScheduleKind is static non-chunked.
/// This kind of worksharing directive is emitted without outer loop.
/// \param ScheduleKind Schedule kind specified in the 'schedule' clause.
/// \param Chunked True if chunk is specified in the clause.
///
virtual bool isStaticNonchunked(OpenMPScheduleClauseKind ScheduleKind,
bool Chunked) const;
/// Check if the specified \a ScheduleKind is static non-chunked.
/// This kind of distribute directive is emitted without outer loop.
/// \param ScheduleKind Schedule kind specified in the 'dist_schedule' clause.
/// \param Chunked True if chunk is specified in the clause.
///
virtual bool isStaticNonchunked(OpenMPDistScheduleClauseKind ScheduleKind,
bool Chunked) const;
/// Check if the specified \a ScheduleKind is static chunked.
/// \param ScheduleKind Schedule kind specified in the 'schedule' clause.
/// \param Chunked True if chunk is specified in the clause.
///
virtual bool isStaticChunked(OpenMPScheduleClauseKind ScheduleKind,
bool Chunked) const;
/// Check if the specified \a ScheduleKind is static non-chunked.
/// \param ScheduleKind Schedule kind specified in the 'dist_schedule' clause.
/// \param Chunked True if chunk is specified in the clause.
///
virtual bool isStaticChunked(OpenMPDistScheduleClauseKind ScheduleKind,
bool Chunked) const;
/// Check if the specified \a ScheduleKind is dynamic.
/// This kind of worksharing directive is emitted without outer loop.
/// \param ScheduleKind Schedule Kind specified in the 'schedule' clause.
///
virtual bool isDynamic(OpenMPScheduleClauseKind ScheduleKind) const;
/// struct with the values to be passed to the dispatch runtime function
struct DispatchRTInput {
/// Loop lower bound
llvm::Value *LB = nullptr;
/// Loop upper bound
llvm::Value *UB = nullptr;
/// Chunk size specified using 'schedule' clause (nullptr if chunk
/// was not specified)
llvm::Value *Chunk = nullptr;
DispatchRTInput() = default;
DispatchRTInput(llvm::Value *LB, llvm::Value *UB, llvm::Value *Chunk)
: LB(LB), UB(UB), Chunk(Chunk) {}
};
/// Call the appropriate runtime routine to initialize it before start
/// of loop.
/// This is used for non static scheduled types and when the ordered
/// clause is present on the loop construct.
/// Depending on the loop schedule, it is necessary to call some runtime
/// routine before start of the OpenMP loop to get the loop upper / lower
/// bounds \a LB and \a UB and stride \a ST.
///
/// \param CGF Reference to current CodeGenFunction.
/// \param Loc Clang source location.
/// \param ScheduleKind Schedule kind, specified by the 'schedule' clause.
/// \param IVSize Size of the iteration variable in bits.
/// \param IVSigned Sign of the iteration variable.
/// \param Ordered true if loop is ordered, false otherwise.
/// \param DispatchValues struct containing llvm values for lower bound, upper
/// bound, and chunk expression.
/// For the default (nullptr) value, the chunk 1 will be used.
///
virtual void emitForDispatchInit(CodeGenFunction &CGF, SourceLocation Loc,
const OpenMPScheduleTy &ScheduleKind,
unsigned IVSize, bool IVSigned, bool Ordered,
const DispatchRTInput &DispatchValues);
/// Struct with the values to be passed to the static runtime function
struct StaticRTInput {
/// Size of the iteration variable in bits.
unsigned IVSize = 0;
/// Sign of the iteration variable.
bool IVSigned = false;
/// true if loop is ordered, false otherwise.
bool Ordered = false;
/// Address of the output variable in which the flag of the last iteration
/// is returned.
Address IL = Address::invalid();
/// Address of the output variable in which the lower iteration number is
/// returned.
Address LB = Address::invalid();
/// Address of the output variable in which the upper iteration number is
/// returned.
Address UB = Address::invalid();
/// Address of the output variable in which the stride value is returned
/// necessary to generated the static_chunked scheduled loop.
Address ST = Address::invalid();
/// Value of the chunk for the static_chunked scheduled loop. For the
/// default (nullptr) value, the chunk 1 will be used.
llvm::Value *Chunk = nullptr;
StaticRTInput(unsigned IVSize, bool IVSigned, bool Ordered, Address IL,
Address LB, Address UB, Address ST,
llvm::Value *Chunk = nullptr)
: IVSize(IVSize), IVSigned(IVSigned), Ordered(Ordered), IL(IL), LB(LB),
UB(UB), ST(ST), Chunk(Chunk) {}
};
/// Call the appropriate runtime routine to initialize it before start
/// of loop.
///
/// This is used only in case of static schedule, when the user did not
/// specify a ordered clause on the loop construct.
/// Depending on the loop schedule, it is necessary to call some runtime
/// routine before start of the OpenMP loop to get the loop upper / lower
/// bounds LB and UB and stride ST.
///
/// \param CGF Reference to current CodeGenFunction.
/// \param Loc Clang source location.
/// \param DKind Kind of the directive.
/// \param ScheduleKind Schedule kind, specified by the 'schedule' clause.
/// \param Values Input arguments for the construct.
///
virtual void emitForStaticInit(CodeGenFunction &CGF, SourceLocation Loc,
OpenMPDirectiveKind DKind,
const OpenMPScheduleTy &ScheduleKind,
const StaticRTInput &Values);
///
/// \param CGF Reference to current CodeGenFunction.
/// \param Loc Clang source location.
/// \param SchedKind Schedule kind, specified by the 'dist_schedule' clause.
/// \param Values Input arguments for the construct.
///
virtual void emitDistributeStaticInit(CodeGenFunction &CGF,
SourceLocation Loc,
OpenMPDistScheduleClauseKind SchedKind,
const StaticRTInput &Values);
/// Call the appropriate runtime routine to notify that we finished
/// iteration of the ordered loop with the dynamic scheduling.
///
/// \param CGF Reference to current CodeGenFunction.
/// \param Loc Clang source location.
/// \param IVSize Size of the iteration variable in bits.
/// \param IVSigned Sign of the iteration variable.
///
virtual void emitForOrderedIterationEnd(CodeGenFunction &CGF,
SourceLocation Loc, unsigned IVSize,
bool IVSigned);
/// Call the appropriate runtime routine to notify that we finished
/// all the work with current loop.
///
/// \param CGF Reference to current CodeGenFunction.
/// \param Loc Clang source location.
/// \param DKind Kind of the directive for which the static finish is emitted.
///
virtual void emitForStaticFinish(CodeGenFunction &CGF, SourceLocation Loc,
OpenMPDirectiveKind DKind);
/// Call __kmpc_dispatch_next(
/// ident_t *loc, kmp_int32 tid, kmp_int32 *p_lastiter,
/// kmp_int[32|64] *p_lower, kmp_int[32|64] *p_upper,
/// kmp_int[32|64] *p_stride);
/// \param IVSize Size of the iteration variable in bits.
/// \param IVSigned Sign of the iteration variable.
/// \param IL Address of the output variable in which the flag of the
/// last iteration is returned.
/// \param LB Address of the output variable in which the lower iteration
/// number is returned.
/// \param UB Address of the output variable in which the upper iteration
/// number is returned.
/// \param ST Address of the output variable in which the stride value is
/// returned.
virtual llvm::Value *emitForNext(CodeGenFunction &CGF, SourceLocation Loc,
unsigned IVSize, bool IVSigned,
Address IL, Address LB,
Address UB, Address ST);
/// Emits call to void __kmpc_push_num_threads(ident_t *loc, kmp_int32
/// global_tid, kmp_int32 num_threads) to generate code for 'num_threads'
/// clause.
/// \param NumThreads An integer value of threads.
virtual void emitNumThreadsClause(CodeGenFunction &CGF,
llvm::Value *NumThreads,
SourceLocation Loc);
/// Emit call to void __kmpc_push_proc_bind(ident_t *loc, kmp_int32
/// global_tid, int proc_bind) to generate code for 'proc_bind' clause.
virtual void emitProcBindClause(CodeGenFunction &CGF,
llvm::omp::ProcBindKind ProcBind,
SourceLocation Loc);
/// Returns address of the threadprivate variable for the current
/// thread.
/// \param VD Threadprivate variable.
/// \param VDAddr Address of the global variable \a VD.
/// \param Loc Location of the reference to threadprivate var.
/// \return Address of the threadprivate variable for the current thread.
virtual Address getAddrOfThreadPrivate(CodeGenFunction &CGF,
const VarDecl *VD,
Address VDAddr,
SourceLocation Loc);
/// Returns the address of the variable marked as declare target with link
/// clause OR as declare target with to clause and unified memory.
virtual Address getAddrOfDeclareTargetVar(const VarDecl *VD);
/// Emit a code for initialization of threadprivate variable. It emits
/// a call to runtime library which adds initial value to the newly created
/// threadprivate variable (if it is not constant) and registers destructor
/// for the variable (if any).
/// \param VD Threadprivate variable.
/// \param VDAddr Address of the global variable \a VD.
/// \param Loc Location of threadprivate declaration.
/// \param PerformInit true if initialization expression is not constant.
virtual llvm::Function *
emitThreadPrivateVarDefinition(const VarDecl *VD, Address VDAddr,
SourceLocation Loc, bool PerformInit,
CodeGenFunction *CGF = nullptr);
/// Emit a code for initialization of declare target variable.
/// \param VD Declare target variable.
/// \param Addr Address of the global variable \a VD.
/// \param PerformInit true if initialization expression is not constant.
virtual bool emitDeclareTargetVarDefinition(const VarDecl *VD,
llvm::GlobalVariable *Addr,
bool PerformInit);
/// Creates artificial threadprivate variable with name \p Name and type \p
/// VarType.
/// \param VarType Type of the artificial threadprivate variable.
/// \param Name Name of the artificial threadprivate variable.
virtual Address getAddrOfArtificialThreadPrivate(CodeGenFunction &CGF,
QualType VarType,
StringRef Name);
/// Emit flush of the variables specified in 'omp flush' directive.
/// \param Vars List of variables to flush.
virtual void emitFlush(CodeGenFunction &CGF, ArrayRef<const Expr *> Vars,
SourceLocation Loc);
/// Emit task region for the task directive. The task region is
/// emitted in several steps:
/// 1. Emit a call to kmp_task_t *__kmpc_omp_task_alloc(ident_t *, kmp_int32
/// gtid, kmp_int32 flags, size_t sizeof_kmp_task_t, size_t sizeof_shareds,
/// kmp_routine_entry_t *task_entry). Here task_entry is a pointer to the
/// function:
/// kmp_int32 .omp_task_entry.(kmp_int32 gtid, kmp_task_t *tt) {
/// TaskFunction(gtid, tt->part_id, tt->shareds);
/// return 0;
/// }
/// 2. Copy a list of shared variables to field shareds of the resulting
/// structure kmp_task_t returned by the previous call (if any).
/// 3. Copy a pointer to destructions function to field destructions of the
/// resulting structure kmp_task_t.
/// 4. Emit a call to kmp_int32 __kmpc_omp_task(ident_t *, kmp_int32 gtid,
/// kmp_task_t *new_task), where new_task is a resulting structure from
/// previous items.
/// \param D Current task directive.
/// \param TaskFunction An LLVM function with type void (*)(i32 /*gtid*/, i32
/// /*part_id*/, captured_struct */*__context*/);
/// \param SharedsTy A type which contains references the shared variables.
/// \param Shareds Context with the list of shared variables from the \p
/// TaskFunction.
/// \param IfCond Not a nullptr if 'if' clause was specified, nullptr
/// otherwise.
/// \param Data Additional data for task generation like tiednsee, final
/// state, list of privates etc.
virtual void emitTaskCall(CodeGenFunction &CGF, SourceLocation Loc,
const OMPExecutableDirective &D,
llvm::Function *TaskFunction, QualType SharedsTy,
Address Shareds, const Expr *IfCond,
const OMPTaskDataTy &Data);
/// Emit task region for the taskloop directive. The taskloop region is
/// emitted in several steps:
/// 1. Emit a call to kmp_task_t *__kmpc_omp_task_alloc(ident_t *, kmp_int32
/// gtid, kmp_int32 flags, size_t sizeof_kmp_task_t, size_t sizeof_shareds,
/// kmp_routine_entry_t *task_entry). Here task_entry is a pointer to the
/// function:
/// kmp_int32 .omp_task_entry.(kmp_int32 gtid, kmp_task_t *tt) {
/// TaskFunction(gtid, tt->part_id, tt->shareds);
/// return 0;
/// }
/// 2. Copy a list of shared variables to field shareds of the resulting
/// structure kmp_task_t returned by the previous call (if any).
/// 3. Copy a pointer to destructions function to field destructions of the
/// resulting structure kmp_task_t.
/// 4. Emit a call to void __kmpc_taskloop(ident_t *loc, int gtid, kmp_task_t
/// *task, int if_val, kmp_uint64 *lb, kmp_uint64 *ub, kmp_int64 st, int
/// nogroup, int sched, kmp_uint64 grainsize, void *task_dup ), where new_task
/// is a resulting structure from
/// previous items.
/// \param D Current task directive.
/// \param TaskFunction An LLVM function with type void (*)(i32 /*gtid*/, i32
/// /*part_id*/, captured_struct */*__context*/);
/// \param SharedsTy A type which contains references the shared variables.
/// \param Shareds Context with the list of shared variables from the \p
/// TaskFunction.
/// \param IfCond Not a nullptr if 'if' clause was specified, nullptr
/// otherwise.
/// \param Data Additional data for task generation like tiednsee, final
/// state, list of privates etc.
virtual void emitTaskLoopCall(CodeGenFunction &CGF, SourceLocation Loc,
const OMPLoopDirective &D,
llvm::Function *TaskFunction,
QualType SharedsTy, Address Shareds,
const Expr *IfCond, const OMPTaskDataTy &Data);
/// Emit code for the directive that does not require outlining.
///
/// \param InnermostKind Kind of innermost directive (for simple directives it
/// is a directive itself, for combined - its innermost directive).
/// \param CodeGen Code generation sequence for the \a D directive.
/// \param HasCancel true if region has inner cancel directive, false
/// otherwise.
virtual void emitInlinedDirective(CodeGenFunction &CGF,
OpenMPDirectiveKind InnermostKind,
const RegionCodeGenTy &CodeGen,
bool HasCancel = false);
/// Emits reduction function.
/// \param ArgsType Array type containing pointers to reduction variables.
/// \param Privates List of private copies for original reduction arguments.
/// \param LHSExprs List of LHS in \a ReductionOps reduction operations.
/// \param RHSExprs List of RHS in \a ReductionOps reduction operations.
/// \param ReductionOps List of reduction operations in form 'LHS binop RHS'
/// or 'operator binop(LHS, RHS)'.
llvm::Function *emitReductionFunction(SourceLocation Loc,
llvm::Type *ArgsType,
ArrayRef<const Expr *> Privates,
ArrayRef<const Expr *> LHSExprs,
ArrayRef<const Expr *> RHSExprs,
ArrayRef<const Expr *> ReductionOps);
/// Emits single reduction combiner
void emitSingleReductionCombiner(CodeGenFunction &CGF,
const Expr *ReductionOp,
const Expr *PrivateRef,
const DeclRefExpr *LHS,
const DeclRefExpr *RHS);
struct ReductionOptionsTy {
bool WithNowait;
bool SimpleReduction;
OpenMPDirectiveKind ReductionKind;
};
/// Emit a code for reduction clause. Next code should be emitted for
/// reduction:
/// \code
///
/// static kmp_critical_name lock = { 0 };
///
/// void reduce_func(void *lhs[<n>], void *rhs[<n>]) {
/// ...
/// *(Type<i>*)lhs[i] = RedOp<i>(*(Type<i>*)lhs[i], *(Type<i>*)rhs[i]);
/// ...
/// }
///
/// ...
/// void *RedList[<n>] = {&<RHSExprs>[0], ..., &<RHSExprs>[<n>-1]};
/// switch (__kmpc_reduce{_nowait}(<loc>, <gtid>, <n>, sizeof(RedList),
/// RedList, reduce_func, &<lock>)) {
/// case 1:
/// ...
/// <LHSExprs>[i] = RedOp<i>(*<LHSExprs>[i], *<RHSExprs>[i]);
/// ...
/// __kmpc_end_reduce{_nowait}(<loc>, <gtid>, &<lock>);
/// break;
/// case 2:
/// ...
/// Atomic(<LHSExprs>[i] = RedOp<i>(*<LHSExprs>[i], *<RHSExprs>[i]));
/// ...
/// break;
/// default:;
/// }
/// \endcode
///
/// \param Privates List of private copies for original reduction arguments.
/// \param LHSExprs List of LHS in \a ReductionOps reduction operations.
/// \param RHSExprs List of RHS in \a ReductionOps reduction operations.
/// \param ReductionOps List of reduction operations in form 'LHS binop RHS'
/// or 'operator binop(LHS, RHS)'.
/// \param Options List of options for reduction codegen:
/// WithNowait true if parent directive has also nowait clause, false
/// otherwise.
/// SimpleReduction Emit reduction operation only. Used for omp simd
/// directive on the host.
/// ReductionKind The kind of reduction to perform.
virtual void emitReduction(CodeGenFunction &CGF, SourceLocation Loc,
ArrayRef<const Expr *> Privates,
ArrayRef<const Expr *> LHSExprs,
ArrayRef<const Expr *> RHSExprs,
ArrayRef<const Expr *> ReductionOps,
ReductionOptionsTy Options);
/// Emit a code for initialization of task reduction clause. Next code
/// should be emitted for reduction:
/// \code
///
/// _task_red_item_t red_data[n];
/// ...
/// red_data[i].shar = &origs[i];
/// red_data[i].size = sizeof(origs[i]);
/// red_data[i].f_init = (void*)RedInit<i>;
/// red_data[i].f_fini = (void*)RedDest<i>;
/// red_data[i].f_comb = (void*)RedOp<i>;
/// red_data[i].flags = <Flag_i>;
/// ...
/// void* tg1 = __kmpc_task_reduction_init(gtid, n, red_data);
/// \endcode
///
/// \param LHSExprs List of LHS in \a Data.ReductionOps reduction operations.
/// \param RHSExprs List of RHS in \a Data.ReductionOps reduction operations.
/// \param Data Additional data for task generation like tiedness, final
/// state, list of privates, reductions etc.
virtual llvm::Value *emitTaskReductionInit(CodeGenFunction &CGF,
SourceLocation Loc,
ArrayRef<const Expr *> LHSExprs,
ArrayRef<const Expr *> RHSExprs,
const OMPTaskDataTy &Data);
/// Required to resolve existing problems in the runtime. Emits threadprivate
/// variables to store the size of the VLAs/array sections for
/// initializer/combiner/finalizer functions + emits threadprivate variable to
/// store the pointer to the original reduction item for the custom
/// initializer defined by declare reduction construct.
/// \param RCG Allows to reuse an existing data for the reductions.
/// \param N Reduction item for which fixups must be emitted.
virtual void emitTaskReductionFixups(CodeGenFunction &CGF, SourceLocation Loc,
ReductionCodeGen &RCG, unsigned N);
/// Get the address of `void *` type of the privatue copy of the reduction
/// item specified by the \p SharedLVal.
/// \param ReductionsPtr Pointer to the reduction data returned by the
/// emitTaskReductionInit function.
/// \param SharedLVal Address of the original reduction item.
virtual Address getTaskReductionItem(CodeGenFunction &CGF, SourceLocation Loc,
llvm::Value *ReductionsPtr,
LValue SharedLVal);
/// Emit code for 'taskwait' directive.
virtual void emitTaskwaitCall(CodeGenFunction &CGF, SourceLocation Loc);
/// Emit code for 'cancellation point' construct.
/// \param CancelRegion Region kind for which the cancellation point must be
/// emitted.
///
virtual void emitCancellationPointCall(CodeGenFunction &CGF,
SourceLocation Loc,
OpenMPDirectiveKind CancelRegion);
/// Emit code for 'cancel' construct.
/// \param IfCond Condition in the associated 'if' clause, if it was
/// specified, nullptr otherwise.
/// \param CancelRegion Region kind for which the cancel must be emitted.
///
virtual void emitCancelCall(CodeGenFunction &CGF, SourceLocation Loc,
const Expr *IfCond,
OpenMPDirectiveKind CancelRegion);
/// Emit outilined function for 'target' directive.
/// \param D Directive to emit.
/// \param ParentName Name of the function that encloses the target region.
/// \param OutlinedFn Outlined function value to be defined by this call.
/// \param OutlinedFnID Outlined function ID value to be defined by this call.
/// \param IsOffloadEntry True if the outlined function is an offload entry.
/// \param CodeGen Code generation sequence for the \a D directive.
/// An outlined function may not be an entry if, e.g. the if clause always
/// evaluates to false.
virtual void emitTargetOutlinedFunction(const OMPExecutableDirective &D,
StringRef ParentName,
llvm::Function *&OutlinedFn,
llvm::Constant *&OutlinedFnID,
bool IsOffloadEntry,
const RegionCodeGenTy &CodeGen);
/// Emit the target offloading code associated with \a D. The emitted
/// code attempts offloading the execution to the device, an the event of
/// a failure it executes the host version outlined in \a OutlinedFn.
/// \param D Directive to emit.
/// \param OutlinedFn Host version of the code to be offloaded.
/// \param OutlinedFnID ID of host version of the code to be offloaded.
/// \param IfCond Expression evaluated in if clause associated with the target
/// directive, or null if no if clause is used.
/// \param Device Expression evaluated in device clause associated with the
/// target directive, or null if no device clause is used.
/// \param SizeEmitter Callback to emit number of iterations for loop-based
/// directives.
virtual void
emitTargetCall(CodeGenFunction &CGF, const OMPExecutableDirective &D,
llvm::Function *OutlinedFn, llvm::Value *OutlinedFnID,
const Expr *IfCond, const Expr *Device,
llvm::function_ref<llvm::Value *(CodeGenFunction &CGF,
const OMPLoopDirective &D)>
SizeEmitter);
/// Emit the target regions enclosed in \a GD function definition or
/// the function itself in case it is a valid device function. Returns true if
/// \a GD was dealt with successfully.
/// \param GD Function to scan.
virtual bool emitTargetFunctions(GlobalDecl GD);
/// Emit the global variable if it is a valid device global variable.
/// Returns true if \a GD was dealt with successfully.
/// \param GD Variable declaration to emit.
virtual bool emitTargetGlobalVariable(GlobalDecl GD);
/// Checks if the provided global decl \a GD is a declare target variable and
/// registers it when emitting code for the host.
virtual void registerTargetGlobalVariable(const VarDecl *VD,
llvm::Constant *Addr);
/// Registers provided target firstprivate variable as global on the
/// target.
llvm::Constant *registerTargetFirstprivateCopy(CodeGenFunction &CGF,
const VarDecl *VD);
/// Emit the global \a GD if it is meaningful for the target. Returns
/// if it was emitted successfully.
/// \param GD Global to scan.
virtual bool emitTargetGlobal(GlobalDecl GD);
/// Creates and returns a registration function for when at least one
/// requires directives was used in the current module.
llvm::Function *emitRequiresDirectiveRegFun();
/// Creates all the offload entries in the current compilation unit
/// along with the associated metadata.
void createOffloadEntriesAndInfoMetadata();
/// Emits code for teams call of the \a OutlinedFn with
/// variables captured in a record which address is stored in \a
/// CapturedStruct.
/// \param OutlinedFn Outlined function to be run by team masters. Type of
/// this function is void(*)(kmp_int32 *, kmp_int32, struct context_vars*).
/// \param CapturedVars A pointer to the record with the references to
/// variables used in \a OutlinedFn function.
///
virtual void emitTeamsCall(CodeGenFunction &CGF,
const OMPExecutableDirective &D,
SourceLocation Loc, llvm::Function *OutlinedFn,
ArrayRef<llvm::Value *> CapturedVars);
/// Emits call to void __kmpc_push_num_teams(ident_t *loc, kmp_int32
/// global_tid, kmp_int32 num_teams, kmp_int32 thread_limit) to generate code
/// for num_teams clause.
/// \param NumTeams An integer expression of teams.
/// \param ThreadLimit An integer expression of threads.
virtual void emitNumTeamsClause(CodeGenFunction &CGF, const Expr *NumTeams,
const Expr *ThreadLimit, SourceLocation Loc);
/// Struct that keeps all the relevant information that should be kept
/// throughout a 'target data' region.
class TargetDataInfo {
/// Set to true if device pointer information have to be obtained.
bool RequiresDevicePointerInfo = false;
public:
/// The array of base pointer passed to the runtime library.
llvm::Value *BasePointersArray = nullptr;
/// The array of section pointers passed to the runtime library.
llvm::Value *PointersArray = nullptr;
/// The array of sizes passed to the runtime library.
llvm::Value *SizesArray = nullptr;
/// The array of map types passed to the runtime library.
llvm::Value *MapTypesArray = nullptr;
/// The total number of pointers passed to the runtime library.
unsigned NumberOfPtrs = 0u;
/// Map between the a declaration of a capture and the corresponding base
/// pointer address where the runtime returns the device pointers.
llvm::DenseMap<const ValueDecl *, Address> CaptureDeviceAddrMap;
explicit TargetDataInfo() {}
explicit TargetDataInfo(bool RequiresDevicePointerInfo)
: RequiresDevicePointerInfo(RequiresDevicePointerInfo) {}
/// Clear information about the data arrays.
void clearArrayInfo() {
BasePointersArray = nullptr;
PointersArray = nullptr;
SizesArray = nullptr;
MapTypesArray = nullptr;
NumberOfPtrs = 0u;
}
/// Return true if the current target data information has valid arrays.
bool isValid() {
return BasePointersArray && PointersArray && SizesArray &&
MapTypesArray && NumberOfPtrs;
}
bool requiresDevicePointerInfo() { return RequiresDevicePointerInfo; }
};
/// Emit the target data mapping code associated with \a D.
/// \param D Directive to emit.
/// \param IfCond Expression evaluated in if clause associated with the
/// target directive, or null if no device clause is used.
/// \param Device Expression evaluated in device clause associated with the
/// target directive, or null if no device clause is used.
/// \param Info A record used to store information that needs to be preserved
/// until the region is closed.
virtual void emitTargetDataCalls(CodeGenFunction &CGF,
const OMPExecutableDirective &D,
const Expr *IfCond, const Expr *Device,
const RegionCodeGenTy &CodeGen,
TargetDataInfo &Info);
/// Emit the data mapping/movement code associated with the directive
/// \a D that should be of the form 'target [{enter|exit} data | update]'.
/// \param D Directive to emit.
/// \param IfCond Expression evaluated in if clause associated with the target
/// directive, or null if no if clause is used.
/// \param Device Expression evaluated in device clause associated with the
/// target directive, or null if no device clause is used.
virtual void emitTargetDataStandAloneCall(CodeGenFunction &CGF,
const OMPExecutableDirective &D,
const Expr *IfCond,
const Expr *Device);
/// Marks function \a Fn with properly mangled versions of vector functions.
/// \param FD Function marked as 'declare simd'.
/// \param Fn LLVM function that must be marked with 'declare simd'
/// attributes.
virtual void emitDeclareSimdFunction(const FunctionDecl *FD,
llvm::Function *Fn);
/// Emit initialization for doacross loop nesting support.
/// \param D Loop-based construct used in doacross nesting construct.
virtual void emitDoacrossInit(CodeGenFunction &CGF, const OMPLoopDirective &D,
ArrayRef<Expr *> NumIterations);
/// Emit code for doacross ordered directive with 'depend' clause.
/// \param C 'depend' clause with 'sink|source' dependency kind.
virtual void emitDoacrossOrdered(CodeGenFunction &CGF,
const OMPDependClause *C);
/// Translates the native parameter of outlined function if this is required
/// for target.
/// \param FD Field decl from captured record for the parameter.
/// \param NativeParam Parameter itself.
virtual const VarDecl *translateParameter(const FieldDecl *FD,
const VarDecl *NativeParam) const {
return NativeParam;
}
/// Gets the address of the native argument basing on the address of the
/// target-specific parameter.
/// \param NativeParam Parameter itself.
/// \param TargetParam Corresponding target-specific parameter.
virtual Address getParameterAddress(CodeGenFunction &CGF,
const VarDecl *NativeParam,
const VarDecl *TargetParam) const;
/// Choose default schedule type and chunk value for the
/// dist_schedule clause.
virtual void getDefaultDistScheduleAndChunk(CodeGenFunction &CGF,
const OMPLoopDirective &S, OpenMPDistScheduleClauseKind &ScheduleKind,
llvm::Value *&Chunk) const {}
/// Choose default schedule type and chunk value for the
/// schedule clause.
virtual void getDefaultScheduleAndChunk(CodeGenFunction &CGF,
const OMPLoopDirective &S, OpenMPScheduleClauseKind &ScheduleKind,
const Expr *&ChunkExpr) const;
/// Emits call of the outlined function with the provided arguments,
/// translating these arguments to correct target-specific arguments.
virtual void
emitOutlinedFunctionCall(CodeGenFunction &CGF, SourceLocation Loc,
llvm::FunctionCallee OutlinedFn,
ArrayRef<llvm::Value *> Args = llvm::None) const;
/// Emits OpenMP-specific function prolog.
/// Required for device constructs.
virtual void emitFunctionProlog(CodeGenFunction &CGF, const Decl *D);
/// Gets the OpenMP-specific address of the local variable.
virtual Address getAddressOfLocalVariable(CodeGenFunction &CGF,
const VarDecl *VD);
/// Marks the declaration as already emitted for the device code and returns
/// true, if it was marked already, and false, otherwise.
bool markAsGlobalTarget(GlobalDecl GD);
/// Emit deferred declare target variables marked for deferred emission.
void emitDeferredTargetDecls() const;
/// Adjust some parameters for the target-based directives, like addresses of
/// the variables captured by reference in lambdas.
virtual void
adjustTargetSpecificDataForLambdas(CodeGenFunction &CGF,
const OMPExecutableDirective &D) const;
/// Perform check on requires decl to ensure that target architecture
/// supports unified addressing
virtual void checkArchForUnifiedAddressing(const OMPRequiresDecl *D);
/// Checks if the variable has associated OMPAllocateDeclAttr attribute with
/// the predefined allocator and translates it into the corresponding address
/// space.
virtual bool hasAllocateAttributeForGlobalVar(const VarDecl *VD, LangAS &AS);
/// Return whether the unified_shared_memory has been specified.
bool hasRequiresUnifiedSharedMemory() const;
/// Emits the definition of the declare variant function.
virtual bool emitDeclareVariant(GlobalDecl GD, bool IsForDefinition);
/// Checks if the \p VD variable is marked as nontemporal declaration in
/// current context.
bool isNontemporalDecl(const ValueDecl *VD) const;
/// Create specialized alloca to handle lastprivate conditionals.
Address emitLastprivateConditionalInit(CodeGenFunction &CGF,
const VarDecl *VD);
/// Checks if the provided \p LVal is lastprivate conditional and emits the
/// code to update the value of the original variable.
/// \code
/// lastprivate(conditional: a)
/// ...
/// <type> a;
/// lp_a = ...;
/// #pragma omp critical(a)
/// if (last_iv_a <= iv) {
/// last_iv_a = iv;
/// global_a = lp_a;
/// }
/// \endcode
virtual void checkAndEmitLastprivateConditional(CodeGenFunction &CGF,
const Expr *LHS);
/// Checks if the lastprivate conditional was updated in inner region and
/// writes the value.
/// \code
/// lastprivate(conditional: a)
/// ...
/// <type> a;bool Fired = false;
/// #pragma omp ... shared(a)
/// {
/// lp_a = ...;
/// Fired = true;
/// }
/// if (Fired) {
/// #pragma omp critical(a)
/// if (last_iv_a <= iv) {
/// last_iv_a = iv;
/// global_a = lp_a;
/// }
/// Fired = false;
/// }
/// \endcode
virtual void checkAndEmitSharedLastprivateConditional(
CodeGenFunction &CGF, const OMPExecutableDirective &D,
const llvm::DenseSet<CanonicalDeclPtr<const VarDecl>> &IgnoredDecls);
/// Gets the address of the global copy used for lastprivate conditional
/// update, if any.
/// \param PrivLVal LValue for the private copy.
/// \param VD Original lastprivate declaration.
virtual void emitLastprivateConditionalFinalUpdate(CodeGenFunction &CGF,
LValue PrivLVal,
const VarDecl *VD,
SourceLocation Loc);
};
/// Class supports emissionof SIMD-only code.
class CGOpenMPSIMDRuntime final : public CGOpenMPRuntime {
public:
explicit CGOpenMPSIMDRuntime(CodeGenModule &CGM) : CGOpenMPRuntime(CGM) {}
~CGOpenMPSIMDRuntime() override {}
/// Emits outlined function for the specified OpenMP parallel directive
/// \a D. This outlined function has type void(*)(kmp_int32 *ThreadID,
/// kmp_int32 BoundID, struct context_vars*).
/// \param D OpenMP directive.
/// \param ThreadIDVar Variable for thread id in the current OpenMP region.
/// \param InnermostKind Kind of innermost directive (for simple directives it
/// is a directive itself, for combined - its innermost directive).
/// \param CodeGen Code generation sequence for the \a D directive.
llvm::Function *
emitParallelOutlinedFunction(const OMPExecutableDirective &D,
const VarDecl *ThreadIDVar,
OpenMPDirectiveKind InnermostKind,
const RegionCodeGenTy &CodeGen) override;
/// Emits outlined function for the specified OpenMP teams directive
/// \a D. This outlined function has type void(*)(kmp_int32 *ThreadID,
/// kmp_int32 BoundID, struct context_vars*).
/// \param D OpenMP directive.
/// \param ThreadIDVar Variable for thread id in the current OpenMP region.
/// \param InnermostKind Kind of innermost directive (for simple directives it
/// is a directive itself, for combined - its innermost directive).
/// \param CodeGen Code generation sequence for the \a D directive.
llvm::Function *
emitTeamsOutlinedFunction(const OMPExecutableDirective &D,
const VarDecl *ThreadIDVar,
OpenMPDirectiveKind InnermostKind,
const RegionCodeGenTy &CodeGen) override;
/// Emits outlined function for the OpenMP task directive \a D. This
/// outlined function has type void(*)(kmp_int32 ThreadID, struct task_t*
/// TaskT).
/// \param D OpenMP directive.
/// \param ThreadIDVar Variable for thread id in the current OpenMP region.
/// \param PartIDVar Variable for partition id in the current OpenMP untied
/// task region.
/// \param TaskTVar Variable for task_t argument.
/// \param InnermostKind Kind of innermost directive (for simple directives it
/// is a directive itself, for combined - its innermost directive).
/// \param CodeGen Code generation sequence for the \a D directive.
/// \param Tied true if task is generated for tied task, false otherwise.
/// \param NumberOfParts Number of parts in untied task. Ignored for tied
/// tasks.
///
llvm::Function *emitTaskOutlinedFunction(
const OMPExecutableDirective &D, const VarDecl *ThreadIDVar,
const VarDecl *PartIDVar, const VarDecl *TaskTVar,
OpenMPDirectiveKind InnermostKind, const RegionCodeGenTy &CodeGen,
bool Tied, unsigned &NumberOfParts) override;
/// Emits code for parallel or serial call of the \a OutlinedFn with
/// variables captured in a record which address is stored in \a
/// CapturedStruct.
/// \param OutlinedFn Outlined function to be run in parallel threads. Type of
/// this function is void(*)(kmp_int32 *, kmp_int32, struct context_vars*).
/// \param CapturedVars A pointer to the record with the references to
/// variables used in \a OutlinedFn function.
/// \param IfCond Condition in the associated 'if' clause, if it was
/// specified, nullptr otherwise.
///
void emitParallelCall(CodeGenFunction &CGF, SourceLocation Loc,
llvm::Function *OutlinedFn,
ArrayRef<llvm::Value *> CapturedVars,
const Expr *IfCond) override;
/// Emits a critical region.
/// \param CriticalName Name of the critical region.
/// \param CriticalOpGen Generator for the statement associated with the given
/// critical region.
/// \param Hint Value of the 'hint' clause (optional).
void emitCriticalRegion(CodeGenFunction &CGF, StringRef CriticalName,
const RegionCodeGenTy &CriticalOpGen,
SourceLocation Loc,
const Expr *Hint = nullptr) override;
/// Emits a master region.
/// \param MasterOpGen Generator for the statement associated with the given
/// master region.
void emitMasterRegion(CodeGenFunction &CGF,
const RegionCodeGenTy &MasterOpGen,
SourceLocation Loc) override;
/// Emits code for a taskyield directive.
void emitTaskyieldCall(CodeGenFunction &CGF, SourceLocation Loc) override;
/// Emit a taskgroup region.
/// \param TaskgroupOpGen Generator for the statement associated with the
/// given taskgroup region.
void emitTaskgroupRegion(CodeGenFunction &CGF,
const RegionCodeGenTy &TaskgroupOpGen,
SourceLocation Loc) override;
/// Emits a single region.
/// \param SingleOpGen Generator for the statement associated with the given
/// single region.
void emitSingleRegion(CodeGenFunction &CGF,
const RegionCodeGenTy &SingleOpGen, SourceLocation Loc,
ArrayRef<const Expr *> CopyprivateVars,
ArrayRef<const Expr *> DestExprs,
ArrayRef<const Expr *> SrcExprs,
ArrayRef<const Expr *> AssignmentOps) override;
/// Emit an ordered region.
/// \param OrderedOpGen Generator for the statement associated with the given
/// ordered region.
void emitOrderedRegion(CodeGenFunction &CGF,
const RegionCodeGenTy &OrderedOpGen,
SourceLocation Loc, bool IsThreads) override;
/// Emit an implicit/explicit barrier for OpenMP threads.
/// \param Kind Directive for which this implicit barrier call must be
/// generated. Must be OMPD_barrier for explicit barrier generation.
/// \param EmitChecks true if need to emit checks for cancellation barriers.
/// \param ForceSimpleCall true simple barrier call must be emitted, false if
/// runtime class decides which one to emit (simple or with cancellation
/// checks).
///
void emitBarrierCall(CodeGenFunction &CGF, SourceLocation Loc,
OpenMPDirectiveKind Kind, bool EmitChecks = true,
bool ForceSimpleCall = false) override;
/// This is used for non static scheduled types and when the ordered
/// clause is present on the loop construct.
/// Depending on the loop schedule, it is necessary to call some runtime
/// routine before start of the OpenMP loop to get the loop upper / lower
/// bounds \a LB and \a UB and stride \a ST.
///
/// \param CGF Reference to current CodeGenFunction.
/// \param Loc Clang source location.
/// \param ScheduleKind Schedule kind, specified by the 'schedule' clause.
/// \param IVSize Size of the iteration variable in bits.
/// \param IVSigned Sign of the iteration variable.
/// \param Ordered true if loop is ordered, false otherwise.
/// \param DispatchValues struct containing llvm values for lower bound, upper
/// bound, and chunk expression.
/// For the default (nullptr) value, the chunk 1 will be used.
///
void emitForDispatchInit(CodeGenFunction &CGF, SourceLocation Loc,
const OpenMPScheduleTy &ScheduleKind,
unsigned IVSize, bool IVSigned, bool Ordered,
const DispatchRTInput &DispatchValues) override;
/// Call the appropriate runtime routine to initialize it before start
/// of loop.
///
/// This is used only in case of static schedule, when the user did not
/// specify a ordered clause on the loop construct.
/// Depending on the loop schedule, it is necessary to call some runtime
/// routine before start of the OpenMP loop to get the loop upper / lower
/// bounds LB and UB and stride ST.
///
/// \param CGF Reference to current CodeGenFunction.
/// \param Loc Clang source location.
/// \param DKind Kind of the directive.
/// \param ScheduleKind Schedule kind, specified by the 'schedule' clause.
/// \param Values Input arguments for the construct.
///
void emitForStaticInit(CodeGenFunction &CGF, SourceLocation Loc,
OpenMPDirectiveKind DKind,
const OpenMPScheduleTy &ScheduleKind,
const StaticRTInput &Values) override;
///
/// \param CGF Reference to current CodeGenFunction.
/// \param Loc Clang source location.
/// \param SchedKind Schedule kind, specified by the 'dist_schedule' clause.
/// \param Values Input arguments for the construct.
///
void emitDistributeStaticInit(CodeGenFunction &CGF, SourceLocation Loc,
OpenMPDistScheduleClauseKind SchedKind,
const StaticRTInput &Values) override;
/// Call the appropriate runtime routine to notify that we finished
/// iteration of the ordered loop with the dynamic scheduling.
///
/// \param CGF Reference to current CodeGenFunction.
/// \param Loc Clang source location.
/// \param IVSize Size of the iteration variable in bits.
/// \param IVSigned Sign of the iteration variable.
///
void emitForOrderedIterationEnd(CodeGenFunction &CGF, SourceLocation Loc,
unsigned IVSize, bool IVSigned) override;
/// Call the appropriate runtime routine to notify that we finished
/// all the work with current loop.
///
/// \param CGF Reference to current CodeGenFunction.
/// \param Loc Clang source location.
/// \param DKind Kind of the directive for which the static finish is emitted.
///
void emitForStaticFinish(CodeGenFunction &CGF, SourceLocation Loc,
OpenMPDirectiveKind DKind) override;
/// Call __kmpc_dispatch_next(
/// ident_t *loc, kmp_int32 tid, kmp_int32 *p_lastiter,
/// kmp_int[32|64] *p_lower, kmp_int[32|64] *p_upper,
/// kmp_int[32|64] *p_stride);
/// \param IVSize Size of the iteration variable in bits.
/// \param IVSigned Sign of the iteration variable.
/// \param IL Address of the output variable in which the flag of the
/// last iteration is returned.
/// \param LB Address of the output variable in which the lower iteration
/// number is returned.
/// \param UB Address of the output variable in which the upper iteration
/// number is returned.
/// \param ST Address of the output variable in which the stride value is
/// returned.
llvm::Value *emitForNext(CodeGenFunction &CGF, SourceLocation Loc,
unsigned IVSize, bool IVSigned, Address IL,
Address LB, Address UB, Address ST) override;
/// Emits call to void __kmpc_push_num_threads(ident_t *loc, kmp_int32
/// global_tid, kmp_int32 num_threads) to generate code for 'num_threads'
/// clause.
/// \param NumThreads An integer value of threads.
void emitNumThreadsClause(CodeGenFunction &CGF, llvm::Value *NumThreads,
SourceLocation Loc) override;
/// Emit call to void __kmpc_push_proc_bind(ident_t *loc, kmp_int32
/// global_tid, int proc_bind) to generate code for 'proc_bind' clause.
void emitProcBindClause(CodeGenFunction &CGF,
llvm::omp::ProcBindKind ProcBind,
SourceLocation Loc) override;
/// Returns address of the threadprivate variable for the current
/// thread.
/// \param VD Threadprivate variable.
/// \param VDAddr Address of the global variable \a VD.
/// \param Loc Location of the reference to threadprivate var.
/// \return Address of the threadprivate variable for the current thread.
Address getAddrOfThreadPrivate(CodeGenFunction &CGF, const VarDecl *VD,
Address VDAddr, SourceLocation Loc) override;
/// Emit a code for initialization of threadprivate variable. It emits
/// a call to runtime library which adds initial value to the newly created
/// threadprivate variable (if it is not constant) and registers destructor
/// for the variable (if any).
/// \param VD Threadprivate variable.
/// \param VDAddr Address of the global variable \a VD.
/// \param Loc Location of threadprivate declaration.
/// \param PerformInit true if initialization expression is not constant.
llvm::Function *
emitThreadPrivateVarDefinition(const VarDecl *VD, Address VDAddr,
SourceLocation Loc, bool PerformInit,
CodeGenFunction *CGF = nullptr) override;
/// Creates artificial threadprivate variable with name \p Name and type \p
/// VarType.
/// \param VarType Type of the artificial threadprivate variable.
/// \param Name Name of the artificial threadprivate variable.
Address getAddrOfArtificialThreadPrivate(CodeGenFunction &CGF,
QualType VarType,
StringRef Name) override;
/// Emit flush of the variables specified in 'omp flush' directive.
/// \param Vars List of variables to flush.
void emitFlush(CodeGenFunction &CGF, ArrayRef<const Expr *> Vars,
SourceLocation Loc) override;
/// Emit task region for the task directive. The task region is
/// emitted in several steps:
/// 1. Emit a call to kmp_task_t *__kmpc_omp_task_alloc(ident_t *, kmp_int32
/// gtid, kmp_int32 flags, size_t sizeof_kmp_task_t, size_t sizeof_shareds,
/// kmp_routine_entry_t *task_entry). Here task_entry is a pointer to the
/// function:
/// kmp_int32 .omp_task_entry.(kmp_int32 gtid, kmp_task_t *tt) {
/// TaskFunction(gtid, tt->part_id, tt->shareds);
/// return 0;
/// }
/// 2. Copy a list of shared variables to field shareds of the resulting
/// structure kmp_task_t returned by the previous call (if any).
/// 3. Copy a pointer to destructions function to field destructions of the
/// resulting structure kmp_task_t.
/// 4. Emit a call to kmp_int32 __kmpc_omp_task(ident_t *, kmp_int32 gtid,
/// kmp_task_t *new_task), where new_task is a resulting structure from
/// previous items.
/// \param D Current task directive.
/// \param TaskFunction An LLVM function with type void (*)(i32 /*gtid*/, i32
/// /*part_id*/, captured_struct */*__context*/);
/// \param SharedsTy A type which contains references the shared variables.
/// \param Shareds Context with the list of shared variables from the \p
/// TaskFunction.
/// \param IfCond Not a nullptr if 'if' clause was specified, nullptr
/// otherwise.
/// \param Data Additional data for task generation like tiednsee, final
/// state, list of privates etc.
void emitTaskCall(CodeGenFunction &CGF, SourceLocation Loc,
const OMPExecutableDirective &D,
llvm::Function *TaskFunction, QualType SharedsTy,
Address Shareds, const Expr *IfCond,
const OMPTaskDataTy &Data) override;
/// Emit task region for the taskloop directive. The taskloop region is
/// emitted in several steps:
/// 1. Emit a call to kmp_task_t *__kmpc_omp_task_alloc(ident_t *, kmp_int32
/// gtid, kmp_int32 flags, size_t sizeof_kmp_task_t, size_t sizeof_shareds,
/// kmp_routine_entry_t *task_entry). Here task_entry is a pointer to the
/// function:
/// kmp_int32 .omp_task_entry.(kmp_int32 gtid, kmp_task_t *tt) {
/// TaskFunction(gtid, tt->part_id, tt->shareds);
/// return 0;
/// }
/// 2. Copy a list of shared variables to field shareds of the resulting
/// structure kmp_task_t returned by the previous call (if any).
/// 3. Copy a pointer to destructions function to field destructions of the
/// resulting structure kmp_task_t.
/// 4. Emit a call to void __kmpc_taskloop(ident_t *loc, int gtid, kmp_task_t
/// *task, int if_val, kmp_uint64 *lb, kmp_uint64 *ub, kmp_int64 st, int
/// nogroup, int sched, kmp_uint64 grainsize, void *task_dup ), where new_task
/// is a resulting structure from
/// previous items.
/// \param D Current task directive.
/// \param TaskFunction An LLVM function with type void (*)(i32 /*gtid*/, i32
/// /*part_id*/, captured_struct */*__context*/);
/// \param SharedsTy A type which contains references the shared variables.
/// \param Shareds Context with the list of shared variables from the \p
/// TaskFunction.
/// \param IfCond Not a nullptr if 'if' clause was specified, nullptr
/// otherwise.
/// \param Data Additional data for task generation like tiednsee, final
/// state, list of privates etc.
void emitTaskLoopCall(CodeGenFunction &CGF, SourceLocation Loc,
const OMPLoopDirective &D, llvm::Function *TaskFunction,
QualType SharedsTy, Address Shareds, const Expr *IfCond,
const OMPTaskDataTy &Data) override;
/// Emit a code for reduction clause. Next code should be emitted for
/// reduction:
/// \code
///
/// static kmp_critical_name lock = { 0 };
///
/// void reduce_func(void *lhs[<n>], void *rhs[<n>]) {
/// ...
/// *(Type<i>*)lhs[i] = RedOp<i>(*(Type<i>*)lhs[i], *(Type<i>*)rhs[i]);
/// ...
/// }
///
/// ...
/// void *RedList[<n>] = {&<RHSExprs>[0], ..., &<RHSExprs>[<n>-1]};
/// switch (__kmpc_reduce{_nowait}(<loc>, <gtid>, <n>, sizeof(RedList),
/// RedList, reduce_func, &<lock>)) {
/// case 1:
/// ...
/// <LHSExprs>[i] = RedOp<i>(*<LHSExprs>[i], *<RHSExprs>[i]);
/// ...
/// __kmpc_end_reduce{_nowait}(<loc>, <gtid>, &<lock>);
/// break;
/// case 2:
/// ...
/// Atomic(<LHSExprs>[i] = RedOp<i>(*<LHSExprs>[i], *<RHSExprs>[i]));
/// ...
/// break;
/// default:;
/// }
/// \endcode
///
/// \param Privates List of private copies for original reduction arguments.
/// \param LHSExprs List of LHS in \a ReductionOps reduction operations.
/// \param RHSExprs List of RHS in \a ReductionOps reduction operations.
/// \param ReductionOps List of reduction operations in form 'LHS binop RHS'
/// or 'operator binop(LHS, RHS)'.
/// \param Options List of options for reduction codegen:
/// WithNowait true if parent directive has also nowait clause, false
/// otherwise.
/// SimpleReduction Emit reduction operation only. Used for omp simd
/// directive on the host.
/// ReductionKind The kind of reduction to perform.
void emitReduction(CodeGenFunction &CGF, SourceLocation Loc,
ArrayRef<const Expr *> Privates,
ArrayRef<const Expr *> LHSExprs,
ArrayRef<const Expr *> RHSExprs,
ArrayRef<const Expr *> ReductionOps,
ReductionOptionsTy Options) override;
/// Emit a code for initialization of task reduction clause. Next code
/// should be emitted for reduction:
/// \code
///
/// _task_red_item_t red_data[n];
/// ...
/// red_data[i].shar = &origs[i];
/// red_data[i].size = sizeof(origs[i]);
/// red_data[i].f_init = (void*)RedInit<i>;
/// red_data[i].f_fini = (void*)RedDest<i>;
/// red_data[i].f_comb = (void*)RedOp<i>;
/// red_data[i].flags = <Flag_i>;
/// ...
/// void* tg1 = __kmpc_task_reduction_init(gtid, n, red_data);
/// \endcode
///
/// \param LHSExprs List of LHS in \a Data.ReductionOps reduction operations.
/// \param RHSExprs List of RHS in \a Data.ReductionOps reduction operations.
/// \param Data Additional data for task generation like tiedness, final
/// state, list of privates, reductions etc.
llvm::Value *emitTaskReductionInit(CodeGenFunction &CGF, SourceLocation Loc,
ArrayRef<const Expr *> LHSExprs,
ArrayRef<const Expr *> RHSExprs,
const OMPTaskDataTy &Data) override;
/// Required to resolve existing problems in the runtime. Emits threadprivate
/// variables to store the size of the VLAs/array sections for
/// initializer/combiner/finalizer functions + emits threadprivate variable to
/// store the pointer to the original reduction item for the custom
/// initializer defined by declare reduction construct.
/// \param RCG Allows to reuse an existing data for the reductions.
/// \param N Reduction item for which fixups must be emitted.
void emitTaskReductionFixups(CodeGenFunction &CGF, SourceLocation Loc,
ReductionCodeGen &RCG, unsigned N) override;
/// Get the address of `void *` type of the privatue copy of the reduction
/// item specified by the \p SharedLVal.
/// \param ReductionsPtr Pointer to the reduction data returned by the
/// emitTaskReductionInit function.
/// \param SharedLVal Address of the original reduction item.
Address getTaskReductionItem(CodeGenFunction &CGF, SourceLocation Loc,
llvm::Value *ReductionsPtr,
LValue SharedLVal) override;
/// Emit code for 'taskwait' directive.
void emitTaskwaitCall(CodeGenFunction &CGF, SourceLocation Loc) override;
/// Emit code for 'cancellation point' construct.
/// \param CancelRegion Region kind for which the cancellation point must be
/// emitted.
///
void emitCancellationPointCall(CodeGenFunction &CGF, SourceLocation Loc,
OpenMPDirectiveKind CancelRegion) override;
/// Emit code for 'cancel' construct.
/// \param IfCond Condition in the associated 'if' clause, if it was
/// specified, nullptr otherwise.
/// \param CancelRegion Region kind for which the cancel must be emitted.
///
void emitCancelCall(CodeGenFunction &CGF, SourceLocation Loc,
const Expr *IfCond,
OpenMPDirectiveKind CancelRegion) override;
/// Emit outilined function for 'target' directive.
/// \param D Directive to emit.
/// \param ParentName Name of the function that encloses the target region.
/// \param OutlinedFn Outlined function value to be defined by this call.
/// \param OutlinedFnID Outlined function ID value to be defined by this call.
/// \param IsOffloadEntry True if the outlined function is an offload entry.
/// \param CodeGen Code generation sequence for the \a D directive.
/// An outlined function may not be an entry if, e.g. the if clause always
/// evaluates to false.
void emitTargetOutlinedFunction(const OMPExecutableDirective &D,
StringRef ParentName,
llvm::Function *&OutlinedFn,
llvm::Constant *&OutlinedFnID,
bool IsOffloadEntry,
const RegionCodeGenTy &CodeGen) override;
/// Emit the target offloading code associated with \a D. The emitted
/// code attempts offloading the execution to the device, an the event of
/// a failure it executes the host version outlined in \a OutlinedFn.
/// \param D Directive to emit.
/// \param OutlinedFn Host version of the code to be offloaded.
/// \param OutlinedFnID ID of host version of the code to be offloaded.
/// \param IfCond Expression evaluated in if clause associated with the target
/// directive, or null if no if clause is used.
/// \param Device Expression evaluated in device clause associated with the
/// target directive, or null if no device clause is used.
void
emitTargetCall(CodeGenFunction &CGF, const OMPExecutableDirective &D,
llvm::Function *OutlinedFn, llvm::Value *OutlinedFnID,
const Expr *IfCond, const Expr *Device,
llvm::function_ref<llvm::Value *(CodeGenFunction &CGF,
const OMPLoopDirective &D)>
SizeEmitter) override;
/// Emit the target regions enclosed in \a GD function definition or
/// the function itself in case it is a valid device function. Returns true if
/// \a GD was dealt with successfully.
/// \param GD Function to scan.
bool emitTargetFunctions(GlobalDecl GD) override;
/// Emit the global variable if it is a valid device global variable.
/// Returns true if \a GD was dealt with successfully.
/// \param GD Variable declaration to emit.
bool emitTargetGlobalVariable(GlobalDecl GD) override;
/// Emit the global \a GD if it is meaningful for the target. Returns
/// if it was emitted successfully.
/// \param GD Global to scan.
bool emitTargetGlobal(GlobalDecl GD) override;
/// Emits code for teams call of the \a OutlinedFn with
/// variables captured in a record which address is stored in \a
/// CapturedStruct.
/// \param OutlinedFn Outlined function to be run by team masters. Type of
/// this function is void(*)(kmp_int32 *, kmp_int32, struct context_vars*).
/// \param CapturedVars A pointer to the record with the references to
/// variables used in \a OutlinedFn function.
///
void emitTeamsCall(CodeGenFunction &CGF, const OMPExecutableDirective &D,
SourceLocation Loc, llvm::Function *OutlinedFn,
ArrayRef<llvm::Value *> CapturedVars) override;
/// Emits call to void __kmpc_push_num_teams(ident_t *loc, kmp_int32
/// global_tid, kmp_int32 num_teams, kmp_int32 thread_limit) to generate code
/// for num_teams clause.
/// \param NumTeams An integer expression of teams.
/// \param ThreadLimit An integer expression of threads.
void emitNumTeamsClause(CodeGenFunction &CGF, const Expr *NumTeams,
const Expr *ThreadLimit, SourceLocation Loc) override;
/// Emit the target data mapping code associated with \a D.
/// \param D Directive to emit.
/// \param IfCond Expression evaluated in if clause associated with the
/// target directive, or null if no device clause is used.
/// \param Device Expression evaluated in device clause associated with the
/// target directive, or null if no device clause is used.
/// \param Info A record used to store information that needs to be preserved
/// until the region is closed.
void emitTargetDataCalls(CodeGenFunction &CGF,
const OMPExecutableDirective &D, const Expr *IfCond,
const Expr *Device, const RegionCodeGenTy &CodeGen,
TargetDataInfo &Info) override;
/// Emit the data mapping/movement code associated with the directive
/// \a D that should be of the form 'target [{enter|exit} data | update]'.
/// \param D Directive to emit.
/// \param IfCond Expression evaluated in if clause associated with the target
/// directive, or null if no if clause is used.
/// \param Device Expression evaluated in device clause associated with the
/// target directive, or null if no device clause is used.
void emitTargetDataStandAloneCall(CodeGenFunction &CGF,
const OMPExecutableDirective &D,
const Expr *IfCond,
const Expr *Device) override;
/// Emit initialization for doacross loop nesting support.
/// \param D Loop-based construct used in doacross nesting construct.
void emitDoacrossInit(CodeGenFunction &CGF, const OMPLoopDirective &D,
ArrayRef<Expr *> NumIterations) override;
/// Emit code for doacross ordered directive with 'depend' clause.
/// \param C 'depend' clause with 'sink|source' dependency kind.
void emitDoacrossOrdered(CodeGenFunction &CGF,
const OMPDependClause *C) override;
/// Translates the native parameter of outlined function if this is required
/// for target.
/// \param FD Field decl from captured record for the parameter.
/// \param NativeParam Parameter itself.
const VarDecl *translateParameter(const FieldDecl *FD,
const VarDecl *NativeParam) const override;
/// Gets the address of the native argument basing on the address of the
/// target-specific parameter.
/// \param NativeParam Parameter itself.
/// \param TargetParam Corresponding target-specific parameter.
Address getParameterAddress(CodeGenFunction &CGF, const VarDecl *NativeParam,
const VarDecl *TargetParam) const override;
/// Gets the OpenMP-specific address of the local variable.
Address getAddressOfLocalVariable(CodeGenFunction &CGF,
const VarDecl *VD) override {
return Address::invalid();
}
};
} // namespace CodeGen
} // namespace clang
#endif
|
statistic.c | /*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% SSSSS TTTTT AAA TTTTT IIIII SSSSS TTTTT IIIII CCCC %
% SS T A A T I SS T I C %
% SSS T AAAAA T I SSS T I C %
% SS T A A T I SS T I C %
% SSSSS T A A T IIIII SSSSS T IIIII CCCC %
% %
% %
% MagickCore Image Statistical Methods %
% %
% Software Design %
% Cristy %
% July 1992 %
% %
% %
% Copyright 1999-2019 ImageMagick Studio LLC, a non-profit organization %
% dedicated to making software imaging solutions freely available. %
% %
% You may not use this file except in compliance with the License. You may %
% obtain a copy of the License at %
% %
% https://imagemagick.org/script/license.php %
% %
% Unless required by applicable law or agreed to in writing, software %
% distributed under the License is distributed on an "AS IS" BASIS, %
% WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. %
% See the License for the specific language governing permissions and %
% limitations under the License. %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
%
%
*/
/*
Include declarations.
*/
#include "magick/studio.h"
#include "magick/accelerate-private.h"
#include "magick/animate.h"
#include "magick/animate.h"
#include "magick/blob.h"
#include "magick/blob-private.h"
#include "magick/cache.h"
#include "magick/cache-private.h"
#include "magick/cache-view.h"
#include "magick/client.h"
#include "magick/color.h"
#include "magick/color-private.h"
#include "magick/colorspace.h"
#include "magick/colorspace-private.h"
#include "magick/composite.h"
#include "magick/composite-private.h"
#include "magick/compress.h"
#include "magick/constitute.h"
#include "magick/deprecate.h"
#include "magick/display.h"
#include "magick/draw.h"
#include "magick/enhance.h"
#include "magick/exception.h"
#include "magick/exception-private.h"
#include "magick/gem.h"
#include "magick/geometry.h"
#include "magick/list.h"
#include "magick/image-private.h"
#include "magick/magic.h"
#include "magick/magick.h"
#include "magick/memory_.h"
#include "magick/module.h"
#include "magick/monitor.h"
#include "magick/monitor-private.h"
#include "magick/option.h"
#include "magick/paint.h"
#include "magick/pixel-private.h"
#include "magick/profile.h"
#include "magick/property.h"
#include "magick/quantize.h"
#include "magick/random_.h"
#include "magick/random-private.h"
#include "magick/resource_.h"
#include "magick/segment.h"
#include "magick/semaphore.h"
#include "magick/signature-private.h"
#include "magick/statistic.h"
#include "magick/string_.h"
#include "magick/thread-private.h"
#include "magick/timer.h"
#include "magick/utility.h"
#include "magick/version.h"
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% E v a l u a t e I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% EvaluateImage() applies a value to the image with an arithmetic, relational,
% or logical operator to an image. Use these operations to lighten or darken
% an image, to increase or decrease contrast in an image, or to produce the
% "negative" of an image.
%
% The format of the EvaluateImageChannel method is:
%
% MagickBooleanType EvaluateImage(Image *image,
% const MagickEvaluateOperator op,const double value,
% ExceptionInfo *exception)
% MagickBooleanType EvaluateImages(Image *images,
% const MagickEvaluateOperator op,const double value,
% ExceptionInfo *exception)
% MagickBooleanType EvaluateImageChannel(Image *image,
% const ChannelType channel,const MagickEvaluateOperator op,
% const double value,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o channel: the channel.
%
% o op: A channel op.
%
% o value: A value value.
%
% o exception: return any errors or warnings in this structure.
%
*/
static MagickPixelPacket **DestroyPixelThreadSet(const Image *images,
MagickPixelPacket **pixels)
{
register ssize_t
i;
size_t
rows;
assert(pixels != (MagickPixelPacket **) NULL);
rows=MagickMax(GetImageListLength(images),
(size_t) GetMagickResourceLimit(ThreadResource));
for (i=0; i < (ssize_t) rows; i++)
if (pixels[i] != (MagickPixelPacket *) NULL)
pixels[i]=(MagickPixelPacket *) RelinquishMagickMemory(pixels[i]);
pixels=(MagickPixelPacket **) RelinquishMagickMemory(pixels);
return(pixels);
}
static MagickPixelPacket **AcquirePixelThreadSet(const Image *images)
{
const Image
*next;
MagickPixelPacket
**pixels;
register ssize_t
i,
j;
size_t
columns,
rows;
rows=MagickMax(GetImageListLength(images),
(size_t) GetMagickResourceLimit(ThreadResource));
pixels=(MagickPixelPacket **) AcquireQuantumMemory(rows,sizeof(*pixels));
if (pixels == (MagickPixelPacket **) NULL)
return((MagickPixelPacket **) NULL);
(void) memset(pixels,0,rows*sizeof(*pixels));
columns=GetImageListLength(images);
for (next=images; next != (Image *) NULL; next=next->next)
columns=MagickMax(next->columns,columns);
for (i=0; i < (ssize_t) rows; i++)
{
pixels[i]=(MagickPixelPacket *) AcquireQuantumMemory(columns,
sizeof(**pixels));
if (pixels[i] == (MagickPixelPacket *) NULL)
return(DestroyPixelThreadSet(images,pixels));
for (j=0; j < (ssize_t) columns; j++)
GetMagickPixelPacket(images,&pixels[i][j]);
}
return(pixels);
}
static inline double EvaluateMax(const double x,const double y)
{
if (x > y)
return(x);
return(y);
}
#if defined(__cplusplus) || defined(c_plusplus)
extern "C" {
#endif
static int IntensityCompare(const void *x,const void *y)
{
const MagickPixelPacket
*color_1,
*color_2;
int
intensity;
color_1=(const MagickPixelPacket *) x;
color_2=(const MagickPixelPacket *) y;
intensity=(int) MagickPixelIntensity(color_2)-(int)
MagickPixelIntensity(color_1);
return(intensity);
}
#if defined(__cplusplus) || defined(c_plusplus)
}
#endif
static MagickRealType ApplyEvaluateOperator(RandomInfo *random_info,
const Quantum pixel,const MagickEvaluateOperator op,
const MagickRealType value)
{
MagickRealType
result;
result=0.0;
switch (op)
{
case UndefinedEvaluateOperator:
break;
case AbsEvaluateOperator:
{
result=(MagickRealType) fabs((double) (pixel+value));
break;
}
case AddEvaluateOperator:
{
result=(MagickRealType) (pixel+value);
break;
}
case AddModulusEvaluateOperator:
{
/*
This returns a 'floored modulus' of the addition which is a
positive result. It differs from % or fmod() which returns a
'truncated modulus' result, where floor() is replaced by trunc()
and could return a negative result (which is clipped).
*/
result=pixel+value;
result-=(QuantumRange+1.0)*floor((double) result/(QuantumRange+1.0));
break;
}
case AndEvaluateOperator:
{
result=(MagickRealType) ((size_t) pixel & (size_t) (value+0.5));
break;
}
case CosineEvaluateOperator:
{
result=(MagickRealType) (QuantumRange*(0.5*cos((double) (2.0*MagickPI*
QuantumScale*pixel*value))+0.5));
break;
}
case DivideEvaluateOperator:
{
result=pixel/(value == 0.0 ? 1.0 : value);
break;
}
case ExponentialEvaluateOperator:
{
result=(MagickRealType) (QuantumRange*exp((double) (value*QuantumScale*
pixel)));
break;
}
case GaussianNoiseEvaluateOperator:
{
result=(MagickRealType) GenerateDifferentialNoise(random_info,pixel,
GaussianNoise,value);
break;
}
case ImpulseNoiseEvaluateOperator:
{
result=(MagickRealType) GenerateDifferentialNoise(random_info,pixel,
ImpulseNoise,value);
break;
}
case LaplacianNoiseEvaluateOperator:
{
result=(MagickRealType) GenerateDifferentialNoise(random_info,pixel,
LaplacianNoise,value);
break;
}
case LeftShiftEvaluateOperator:
{
result=(MagickRealType) ((size_t) pixel << (size_t) (value+0.5));
break;
}
case LogEvaluateOperator:
{
if ((QuantumScale*pixel) >= MagickEpsilon)
result=(MagickRealType) (QuantumRange*log((double) (QuantumScale*value*
pixel+1.0))/log((double) (value+1.0)));
break;
}
case MaxEvaluateOperator:
{
result=(MagickRealType) EvaluateMax((double) pixel,value);
break;
}
case MeanEvaluateOperator:
{
result=(MagickRealType) (pixel+value);
break;
}
case MedianEvaluateOperator:
{
result=(MagickRealType) (pixel+value);
break;
}
case MinEvaluateOperator:
{
result=(MagickRealType) MagickMin((double) pixel,value);
break;
}
case MultiplicativeNoiseEvaluateOperator:
{
result=(MagickRealType) GenerateDifferentialNoise(random_info,pixel,
MultiplicativeGaussianNoise,value);
break;
}
case MultiplyEvaluateOperator:
{
result=(MagickRealType) (value*pixel);
break;
}
case OrEvaluateOperator:
{
result=(MagickRealType) ((size_t) pixel | (size_t) (value+0.5));
break;
}
case PoissonNoiseEvaluateOperator:
{
result=(MagickRealType) GenerateDifferentialNoise(random_info,pixel,
PoissonNoise,value);
break;
}
case PowEvaluateOperator:
{
result=(MagickRealType) (QuantumRange*pow((double) (QuantumScale*pixel),
(double) value));
break;
}
case RightShiftEvaluateOperator:
{
result=(MagickRealType) ((size_t) pixel >> (size_t) (value+0.5));
break;
}
case RootMeanSquareEvaluateOperator:
{
result=(MagickRealType) (pixel*pixel+value);
break;
}
case SetEvaluateOperator:
{
result=value;
break;
}
case SineEvaluateOperator:
{
result=(MagickRealType) (QuantumRange*(0.5*sin((double) (2.0*MagickPI*
QuantumScale*pixel*value))+0.5));
break;
}
case SubtractEvaluateOperator:
{
result=(MagickRealType) (pixel-value);
break;
}
case SumEvaluateOperator:
{
result=(MagickRealType) (pixel+value);
break;
}
case ThresholdEvaluateOperator:
{
result=(MagickRealType) (((MagickRealType) pixel <= value) ? 0 :
QuantumRange);
break;
}
case ThresholdBlackEvaluateOperator:
{
result=(MagickRealType) (((MagickRealType) pixel <= value) ? 0 : pixel);
break;
}
case ThresholdWhiteEvaluateOperator:
{
result=(MagickRealType) (((MagickRealType) pixel > value) ? QuantumRange :
pixel);
break;
}
case UniformNoiseEvaluateOperator:
{
result=(MagickRealType) GenerateDifferentialNoise(random_info,pixel,
UniformNoise,value);
break;
}
case XorEvaluateOperator:
{
result=(MagickRealType) ((size_t) pixel ^ (size_t) (value+0.5));
break;
}
}
return(result);
}
static Image *AcquireImageCanvas(const Image *images,ExceptionInfo *exception)
{
const Image
*p,
*q;
size_t
columns,
number_channels,
rows;
q=images;
columns=images->columns;
rows=images->rows;
number_channels=0;
for (p=images; p != (Image *) NULL; p=p->next)
{
size_t
channels;
channels=3;
if (p->matte != MagickFalse)
channels+=1;
if (p->colorspace == CMYKColorspace)
channels+=1;
if (channels > number_channels)
{
number_channels=channels;
q=p;
}
if (p->columns > columns)
columns=p->columns;
if (p->rows > rows)
rows=p->rows;
}
return(CloneImage(q,columns,rows,MagickTrue,exception));
}
MagickExport MagickBooleanType EvaluateImage(Image *image,
const MagickEvaluateOperator op,const double value,ExceptionInfo *exception)
{
MagickBooleanType
status;
status=EvaluateImageChannel(image,CompositeChannels,op,value,exception);
return(status);
}
MagickExport Image *EvaluateImages(const Image *images,
const MagickEvaluateOperator op,ExceptionInfo *exception)
{
#define EvaluateImageTag "Evaluate/Image"
CacheView
*evaluate_view;
Image
*image;
MagickBooleanType
status;
MagickOffsetType
progress;
MagickPixelPacket
**magick_restrict evaluate_pixels,
zero;
RandomInfo
**magick_restrict random_info;
size_t
number_images;
ssize_t
y;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
unsigned long
key;
#endif
assert(images != (Image *) NULL);
assert(images->signature == MagickCoreSignature);
if (images->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",images->filename);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickCoreSignature);
image=AcquireImageCanvas(images,exception);
if (image == (Image *) NULL)
return((Image *) NULL);
if (SetImageStorageClass(image,DirectClass) == MagickFalse)
{
InheritException(exception,&image->exception);
image=DestroyImage(image);
return((Image *) NULL);
}
evaluate_pixels=AcquirePixelThreadSet(images);
if (evaluate_pixels == (MagickPixelPacket **) NULL)
{
image=DestroyImage(image);
(void) ThrowMagickException(exception,GetMagickModule(),
ResourceLimitError,"MemoryAllocationFailed","`%s'",images->filename);
return((Image *) NULL);
}
/*
Evaluate image pixels.
*/
status=MagickTrue;
progress=0;
number_images=GetImageListLength(images);
GetMagickPixelPacket(images,&zero);
random_info=AcquireRandomInfoThreadSet();
evaluate_view=AcquireAuthenticCacheView(image,exception);
if (op == MedianEvaluateOperator)
{
#if defined(MAGICKCORE_OPENMP_SUPPORT)
key=GetRandomSecretKey(random_info[0]);
#pragma omp parallel for schedule(static) shared(progress,status) \
magick_number_threads(image,images,image->rows,key == ~0UL)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
CacheView
*image_view;
const Image
*next;
const int
id = GetOpenMPThreadId();
register IndexPacket
*magick_restrict evaluate_indexes;
register MagickPixelPacket
*evaluate_pixel;
register PixelPacket
*magick_restrict q;
register ssize_t
x;
if (status == MagickFalse)
continue;
q=QueueCacheViewAuthenticPixels(evaluate_view,0,y,image->columns,1,
exception);
if (q == (PixelPacket *) NULL)
{
status=MagickFalse;
continue;
}
evaluate_indexes=GetCacheViewAuthenticIndexQueue(evaluate_view);
evaluate_pixel=evaluate_pixels[id];
for (x=0; x < (ssize_t) image->columns; x++)
{
register ssize_t
i;
for (i=0; i < (ssize_t) number_images; i++)
evaluate_pixel[i]=zero;
next=images;
for (i=0; i < (ssize_t) number_images; i++)
{
register const IndexPacket
*indexes;
register const PixelPacket
*p;
image_view=AcquireVirtualCacheView(next,exception);
p=GetCacheViewVirtualPixels(image_view,x,y,1,1,exception);
if (p == (const PixelPacket *) NULL)
{
image_view=DestroyCacheView(image_view);
break;
}
indexes=GetCacheViewVirtualIndexQueue(image_view);
evaluate_pixel[i].red=ApplyEvaluateOperator(random_info[id],
GetPixelRed(p),op,evaluate_pixel[i].red);
evaluate_pixel[i].green=ApplyEvaluateOperator(random_info[id],
GetPixelGreen(p),op,evaluate_pixel[i].green);
evaluate_pixel[i].blue=ApplyEvaluateOperator(random_info[id],
GetPixelBlue(p),op,evaluate_pixel[i].blue);
evaluate_pixel[i].opacity=ApplyEvaluateOperator(random_info[id],
GetPixelAlpha(p),op,evaluate_pixel[i].opacity);
if (image->colorspace == CMYKColorspace)
evaluate_pixel[i].index=ApplyEvaluateOperator(random_info[id],
*indexes,op,evaluate_pixel[i].index);
image_view=DestroyCacheView(image_view);
next=GetNextImageInList(next);
}
qsort((void *) evaluate_pixel,number_images,sizeof(*evaluate_pixel),
IntensityCompare);
SetPixelRed(q,ClampToQuantum(evaluate_pixel[i/2].red));
SetPixelGreen(q,ClampToQuantum(evaluate_pixel[i/2].green));
SetPixelBlue(q,ClampToQuantum(evaluate_pixel[i/2].blue));
SetPixelAlpha(q,ClampToQuantum(evaluate_pixel[i/2].opacity));
if (image->colorspace == CMYKColorspace)
SetPixelIndex(evaluate_indexes+i,ClampToQuantum(
evaluate_pixel[i/2].index));
q++;
}
if (SyncCacheViewAuthenticPixels(evaluate_view,exception) == MagickFalse)
status=MagickFalse;
if (images->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp atomic
#endif
progress++;
proceed=SetImageProgress(images,EvaluateImageTag,progress,
image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
}
else
{
#if defined(MAGICKCORE_OPENMP_SUPPORT)
key=GetRandomSecretKey(random_info[0]);
#pragma omp parallel for schedule(static) shared(progress,status) \
magick_number_threads(image,images,image->rows,key == ~0UL)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
CacheView
*image_view;
const Image
*next;
const int
id = GetOpenMPThreadId();
register IndexPacket
*magick_restrict evaluate_indexes;
register ssize_t
i,
x;
register MagickPixelPacket
*evaluate_pixel;
register PixelPacket
*magick_restrict q;
if (status == MagickFalse)
continue;
q=QueueCacheViewAuthenticPixels(evaluate_view,0,y,image->columns,1,
exception);
if (q == (PixelPacket *) NULL)
{
status=MagickFalse;
continue;
}
evaluate_indexes=GetCacheViewAuthenticIndexQueue(evaluate_view);
evaluate_pixel=evaluate_pixels[id];
for (x=0; x < (ssize_t) image->columns; x++)
evaluate_pixel[x]=zero;
next=images;
for (i=0; i < (ssize_t) number_images; i++)
{
register const IndexPacket
*indexes;
register const PixelPacket
*p;
image_view=AcquireVirtualCacheView(next,exception);
p=GetCacheViewVirtualPixels(image_view,0,y,image->columns,1,
exception);
if (p == (const PixelPacket *) NULL)
{
image_view=DestroyCacheView(image_view);
break;
}
indexes=GetCacheViewVirtualIndexQueue(image_view);
for (x=0; x < (ssize_t) image->columns; x++)
{
evaluate_pixel[x].red=ApplyEvaluateOperator(random_info[id],
GetPixelRed(p),i == 0 ? AddEvaluateOperator : op,
evaluate_pixel[x].red);
evaluate_pixel[x].green=ApplyEvaluateOperator(random_info[id],
GetPixelGreen(p),i == 0 ? AddEvaluateOperator : op,
evaluate_pixel[x].green);
evaluate_pixel[x].blue=ApplyEvaluateOperator(random_info[id],
GetPixelBlue(p),i == 0 ? AddEvaluateOperator : op,
evaluate_pixel[x].blue);
evaluate_pixel[x].opacity=ApplyEvaluateOperator(random_info[id],
GetPixelAlpha(p),i == 0 ? AddEvaluateOperator : op,
evaluate_pixel[x].opacity);
if (image->colorspace == CMYKColorspace)
evaluate_pixel[x].index=ApplyEvaluateOperator(random_info[id],
GetPixelIndex(indexes+x),i == 0 ? AddEvaluateOperator : op,
evaluate_pixel[x].index);
p++;
}
image_view=DestroyCacheView(image_view);
next=GetNextImageInList(next);
}
if (op == MeanEvaluateOperator)
for (x=0; x < (ssize_t) image->columns; x++)
{
evaluate_pixel[x].red/=number_images;
evaluate_pixel[x].green/=number_images;
evaluate_pixel[x].blue/=number_images;
evaluate_pixel[x].opacity/=number_images;
evaluate_pixel[x].index/=number_images;
}
if (op == RootMeanSquareEvaluateOperator)
for (x=0; x < (ssize_t) image->columns; x++)
{
evaluate_pixel[x].red=sqrt((double) evaluate_pixel[x].red/
number_images);
evaluate_pixel[x].green=sqrt((double) evaluate_pixel[x].green/
number_images);
evaluate_pixel[x].blue=sqrt((double) evaluate_pixel[x].blue/
number_images);
evaluate_pixel[x].opacity=sqrt((double) evaluate_pixel[x].opacity/
number_images);
evaluate_pixel[x].index=sqrt((double) evaluate_pixel[x].index/
number_images);
}
if (op == MultiplyEvaluateOperator)
for (x=0; x < (ssize_t) image->columns; x++)
{
register ssize_t
j;
for (j=0; j < (ssize_t) (number_images-1); j++)
{
evaluate_pixel[x].red*=(MagickRealType) QuantumScale;
evaluate_pixel[x].green*=(MagickRealType) QuantumScale;
evaluate_pixel[x].blue*=(MagickRealType) QuantumScale;
evaluate_pixel[x].opacity*=(MagickRealType) QuantumScale;
evaluate_pixel[x].index*=(MagickRealType) QuantumScale;
}
}
for (x=0; x < (ssize_t) image->columns; x++)
{
SetPixelRed(q,ClampToQuantum(evaluate_pixel[x].red));
SetPixelGreen(q,ClampToQuantum(evaluate_pixel[x].green));
SetPixelBlue(q,ClampToQuantum(evaluate_pixel[x].blue));
SetPixelAlpha(q,ClampToQuantum(evaluate_pixel[x].opacity));
if (image->colorspace == CMYKColorspace)
SetPixelIndex(evaluate_indexes+x,ClampToQuantum(
evaluate_pixel[x].index));
q++;
}
if (SyncCacheViewAuthenticPixels(evaluate_view,exception) == MagickFalse)
status=MagickFalse;
if (images->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
proceed=SetImageProgress(images,EvaluateImageTag,progress++,
image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
}
evaluate_view=DestroyCacheView(evaluate_view);
evaluate_pixels=DestroyPixelThreadSet(images,evaluate_pixels);
random_info=DestroyRandomInfoThreadSet(random_info);
if (status == MagickFalse)
image=DestroyImage(image);
return(image);
}
MagickExport MagickBooleanType EvaluateImageChannel(Image *image,
const ChannelType channel,const MagickEvaluateOperator op,const double value,
ExceptionInfo *exception)
{
CacheView
*image_view;
MagickBooleanType
status;
MagickOffsetType
progress;
RandomInfo
**magick_restrict random_info;
ssize_t
y;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
unsigned long
key;
#endif
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickCoreSignature);
if (SetImageStorageClass(image,DirectClass) == MagickFalse)
{
InheritException(exception,&image->exception);
return(MagickFalse);
}
status=MagickTrue;
progress=0;
random_info=AcquireRandomInfoThreadSet();
image_view=AcquireAuthenticCacheView(image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
key=GetRandomSecretKey(random_info[0]);
#pragma omp parallel for schedule(static) shared(progress,status) \
magick_number_threads(image,image,image->rows,key == ~0UL)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
const int
id = GetOpenMPThreadId();
register IndexPacket
*magick_restrict indexes;
register PixelPacket
*magick_restrict q;
register ssize_t
x;
if (status == MagickFalse)
continue;
q=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,exception);
if (q == (PixelPacket *) NULL)
{
status=MagickFalse;
continue;
}
indexes=GetCacheViewAuthenticIndexQueue(image_view);
for (x=0; x < (ssize_t) image->columns; x++)
{
MagickRealType
result;
if ((channel & RedChannel) != 0)
{
result=ApplyEvaluateOperator(random_info[id],GetPixelRed(q),op,value);
if (op == MeanEvaluateOperator)
result/=2.0;
SetPixelRed(q,ClampToQuantum(result));
}
if ((channel & GreenChannel) != 0)
{
result=ApplyEvaluateOperator(random_info[id],GetPixelGreen(q),op,
value);
if (op == MeanEvaluateOperator)
result/=2.0;
SetPixelGreen(q,ClampToQuantum(result));
}
if ((channel & BlueChannel) != 0)
{
result=ApplyEvaluateOperator(random_info[id],GetPixelBlue(q),op,
value);
if (op == MeanEvaluateOperator)
result/=2.0;
SetPixelBlue(q,ClampToQuantum(result));
}
if ((channel & OpacityChannel) != 0)
{
if (image->matte == MagickFalse)
{
result=ApplyEvaluateOperator(random_info[id],GetPixelOpacity(q),
op,value);
if (op == MeanEvaluateOperator)
result/=2.0;
SetPixelOpacity(q,ClampToQuantum(result));
}
else
{
result=ApplyEvaluateOperator(random_info[id],GetPixelAlpha(q),
op,value);
if (op == MeanEvaluateOperator)
result/=2.0;
SetPixelAlpha(q,ClampToQuantum(result));
}
}
if (((channel & IndexChannel) != 0) && (indexes != (IndexPacket *) NULL))
{
result=ApplyEvaluateOperator(random_info[id],GetPixelIndex(indexes+x),
op,value);
if (op == MeanEvaluateOperator)
result/=2.0;
SetPixelIndex(indexes+x,ClampToQuantum(result));
}
q++;
}
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
proceed=SetImageProgress(image,EvaluateImageTag,progress++,image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
image_view=DestroyCacheView(image_view);
random_info=DestroyRandomInfoThreadSet(random_info);
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% F u n c t i o n I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% FunctionImage() applies a value to the image with an arithmetic, relational,
% or logical operator to an image. Use these operations to lighten or darken
% an image, to increase or decrease contrast in an image, or to produce the
% "negative" of an image.
%
% The format of the FunctionImageChannel method is:
%
% MagickBooleanType FunctionImage(Image *image,
% const MagickFunction function,const ssize_t number_parameters,
% const double *parameters,ExceptionInfo *exception)
% MagickBooleanType FunctionImageChannel(Image *image,
% const ChannelType channel,const MagickFunction function,
% const ssize_t number_parameters,const double *argument,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o channel: the channel.
%
% o function: A channel function.
%
% o parameters: one or more parameters.
%
% o exception: return any errors or warnings in this structure.
%
*/
static Quantum ApplyFunction(Quantum pixel,const MagickFunction function,
const size_t number_parameters,const double *parameters,
ExceptionInfo *exception)
{
MagickRealType
result;
register ssize_t
i;
(void) exception;
result=0.0;
switch (function)
{
case PolynomialFunction:
{
/*
* Polynomial
* Parameters: polynomial constants, highest to lowest order
* For example: c0*x^3 + c1*x^2 + c2*x + c3
*/
result=0.0;
for (i=0; i < (ssize_t) number_parameters; i++)
result=result*QuantumScale*pixel + parameters[i];
result*=QuantumRange;
break;
}
case SinusoidFunction:
{
/* Sinusoid Function
* Parameters: Freq, Phase, Ampl, bias
*/
double freq,phase,ampl,bias;
freq = ( number_parameters >= 1 ) ? parameters[0] : 1.0;
phase = ( number_parameters >= 2 ) ? parameters[1] : 0.0;
ampl = ( number_parameters >= 3 ) ? parameters[2] : 0.5;
bias = ( number_parameters >= 4 ) ? parameters[3] : 0.5;
result=(MagickRealType) (QuantumRange*(ampl*sin((double) (2.0*MagickPI*
(freq*QuantumScale*pixel + phase/360.0) )) + bias ) );
break;
}
case ArcsinFunction:
{
/* Arcsin Function (peged at range limits for invalid results)
* Parameters: Width, Center, Range, Bias
*/
double width,range,center,bias;
width = ( number_parameters >= 1 ) ? parameters[0] : 1.0;
center = ( number_parameters >= 2 ) ? parameters[1] : 0.5;
range = ( number_parameters >= 3 ) ? parameters[2] : 1.0;
bias = ( number_parameters >= 4 ) ? parameters[3] : 0.5;
result = 2.0/width*(QuantumScale*pixel - center);
if ( result <= -1.0 )
result = bias - range/2.0;
else if ( result >= 1.0 )
result = bias + range/2.0;
else
result=(MagickRealType) (range/MagickPI*asin((double) result)+bias);
result *= QuantumRange;
break;
}
case ArctanFunction:
{
/* Arctan Function
* Parameters: Slope, Center, Range, Bias
*/
double slope,range,center,bias;
slope = ( number_parameters >= 1 ) ? parameters[0] : 1.0;
center = ( number_parameters >= 2 ) ? parameters[1] : 0.5;
range = ( number_parameters >= 3 ) ? parameters[2] : 1.0;
bias = ( number_parameters >= 4 ) ? parameters[3] : 0.5;
result=(MagickRealType) (MagickPI*slope*(QuantumScale*pixel-center));
result=(MagickRealType) (QuantumRange*(range/MagickPI*atan((double)
result) + bias ) );
break;
}
case UndefinedFunction:
break;
}
return(ClampToQuantum(result));
}
MagickExport MagickBooleanType FunctionImage(Image *image,
const MagickFunction function,const size_t number_parameters,
const double *parameters,ExceptionInfo *exception)
{
MagickBooleanType
status;
status=FunctionImageChannel(image,CompositeChannels,function,
number_parameters,parameters,exception);
return(status);
}
MagickExport MagickBooleanType FunctionImageChannel(Image *image,
const ChannelType channel,const MagickFunction function,
const size_t number_parameters,const double *parameters,
ExceptionInfo *exception)
{
#define FunctionImageTag "Function/Image "
CacheView
*image_view;
MagickBooleanType
status;
MagickOffsetType
progress;
ssize_t
y;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickCoreSignature);
if (SetImageStorageClass(image,DirectClass) == MagickFalse)
{
InheritException(exception,&image->exception);
return(MagickFalse);
}
#if defined(MAGICKCORE_OPENCL_SUPPORT)
status=AccelerateFunctionImage(image,channel,function,number_parameters,
parameters,exception);
if (status != MagickFalse)
return(status);
#endif
status=MagickTrue;
progress=0;
image_view=AcquireAuthenticCacheView(image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(progress,status) \
magick_number_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
register IndexPacket
*magick_restrict indexes;
register ssize_t
x;
register PixelPacket
*magick_restrict q;
if (status == MagickFalse)
continue;
q=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,exception);
if (q == (PixelPacket *) NULL)
{
status=MagickFalse;
continue;
}
indexes=GetCacheViewAuthenticIndexQueue(image_view);
for (x=0; x < (ssize_t) image->columns; x++)
{
if ((channel & RedChannel) != 0)
SetPixelRed(q,ApplyFunction(GetPixelRed(q),function,
number_parameters,parameters,exception));
if ((channel & GreenChannel) != 0)
SetPixelGreen(q,ApplyFunction(GetPixelGreen(q),function,
number_parameters,parameters,exception));
if ((channel & BlueChannel) != 0)
SetPixelBlue(q,ApplyFunction(GetPixelBlue(q),function,
number_parameters,parameters,exception));
if ((channel & OpacityChannel) != 0)
{
if (image->matte == MagickFalse)
SetPixelOpacity(q,ApplyFunction(GetPixelOpacity(q),function,
number_parameters,parameters,exception));
else
SetPixelAlpha(q,ApplyFunction((Quantum) GetPixelAlpha(q),function,
number_parameters,parameters,exception));
}
if (((channel & IndexChannel) != 0) && (indexes != (IndexPacket *) NULL))
SetPixelIndex(indexes+x,ApplyFunction(GetPixelIndex(indexes+x),function,
number_parameters,parameters,exception));
q++;
}
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
proceed=SetImageProgress(image,FunctionImageTag,progress++,image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
image_view=DestroyCacheView(image_view);
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G e t I m a g e C h a n n e l E n t r o p y %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetImageChannelEntropy() returns the entropy of one or more image channels.
%
% The format of the GetImageChannelEntropy method is:
%
% MagickBooleanType GetImageChannelEntropy(const Image *image,
% const ChannelType channel,double *entropy,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o channel: the channel.
%
% o entropy: the average entropy of the selected channels.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport MagickBooleanType GetImageEntropy(const Image *image,
double *entropy,ExceptionInfo *exception)
{
MagickBooleanType
status;
status=GetImageChannelEntropy(image,CompositeChannels,entropy,exception);
return(status);
}
MagickExport MagickBooleanType GetImageChannelEntropy(const Image *image,
const ChannelType channel,double *entropy,ExceptionInfo *exception)
{
ChannelStatistics
*channel_statistics;
size_t
channels;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
channel_statistics=GetImageChannelStatistics(image,exception);
if (channel_statistics == (ChannelStatistics *) NULL)
return(MagickFalse);
channels=0;
channel_statistics[CompositeChannels].entropy=0.0;
if ((channel & RedChannel) != 0)
{
channel_statistics[CompositeChannels].entropy+=
channel_statistics[RedChannel].entropy;
channels++;
}
if ((channel & GreenChannel) != 0)
{
channel_statistics[CompositeChannels].entropy+=
channel_statistics[GreenChannel].entropy;
channels++;
}
if ((channel & BlueChannel) != 0)
{
channel_statistics[CompositeChannels].entropy+=
channel_statistics[BlueChannel].entropy;
channels++;
}
if (((channel & OpacityChannel) != 0) && (image->matte != MagickFalse))
{
channel_statistics[CompositeChannels].entropy+=
channel_statistics[OpacityChannel].entropy;
channels++;
}
if (((channel & IndexChannel) != 0) &&
(image->colorspace == CMYKColorspace))
{
channel_statistics[CompositeChannels].entropy+=
channel_statistics[BlackChannel].entropy;
channels++;
}
channel_statistics[CompositeChannels].entropy/=channels;
*entropy=channel_statistics[CompositeChannels].entropy;
channel_statistics=(ChannelStatistics *) RelinquishMagickMemory(
channel_statistics);
return(MagickTrue);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ G e t I m a g e C h a n n e l E x t r e m a %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetImageChannelExtrema() returns the extrema of one or more image channels.
%
% The format of the GetImageChannelExtrema method is:
%
% MagickBooleanType GetImageChannelExtrema(const Image *image,
% const ChannelType channel,size_t *minima,size_t *maxima,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o channel: the channel.
%
% o minima: the minimum value in the channel.
%
% o maxima: the maximum value in the channel.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport MagickBooleanType GetImageExtrema(const Image *image,
size_t *minima,size_t *maxima,ExceptionInfo *exception)
{
MagickBooleanType
status;
status=GetImageChannelExtrema(image,CompositeChannels,minima,maxima,
exception);
return(status);
}
MagickExport MagickBooleanType GetImageChannelExtrema(const Image *image,
const ChannelType channel,size_t *minima,size_t *maxima,
ExceptionInfo *exception)
{
double
max,
min;
MagickBooleanType
status;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
status=GetImageChannelRange(image,channel,&min,&max,exception);
*minima=(size_t) ceil(min-0.5);
*maxima=(size_t) floor(max+0.5);
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G e t I m a g e C h a n n e l K u r t o s i s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetImageChannelKurtosis() returns the kurtosis and skewness of one or more
% image channels.
%
% The format of the GetImageChannelKurtosis method is:
%
% MagickBooleanType GetImageChannelKurtosis(const Image *image,
% const ChannelType channel,double *kurtosis,double *skewness,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o channel: the channel.
%
% o kurtosis: the kurtosis of the channel.
%
% o skewness: the skewness of the channel.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport MagickBooleanType GetImageKurtosis(const Image *image,
double *kurtosis,double *skewness,ExceptionInfo *exception)
{
MagickBooleanType
status;
status=GetImageChannelKurtosis(image,CompositeChannels,kurtosis,skewness,
exception);
return(status);
}
MagickExport MagickBooleanType GetImageChannelKurtosis(const Image *image,
const ChannelType channel,double *kurtosis,double *skewness,
ExceptionInfo *exception)
{
double
area,
mean,
standard_deviation,
sum_squares,
sum_cubes,
sum_fourth_power;
ssize_t
y;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
*kurtosis=0.0;
*skewness=0.0;
area=0.0;
mean=0.0;
standard_deviation=0.0;
sum_squares=0.0;
sum_cubes=0.0;
sum_fourth_power=0.0;
for (y=0; y < (ssize_t) image->rows; y++)
{
register const IndexPacket
*magick_restrict indexes;
register const PixelPacket
*magick_restrict p;
register ssize_t
x;
p=GetVirtualPixels(image,0,y,image->columns,1,exception);
if (p == (const PixelPacket *) NULL)
break;
indexes=GetVirtualIndexQueue(image);
for (x=0; x < (ssize_t) image->columns; x++)
{
if ((channel & RedChannel) != 0)
{
mean+=GetPixelRed(p);
sum_squares+=(double) GetPixelRed(p)*GetPixelRed(p);
sum_cubes+=(double) GetPixelRed(p)*GetPixelRed(p)*GetPixelRed(p);
sum_fourth_power+=(double) GetPixelRed(p)*GetPixelRed(p)*
GetPixelRed(p)*GetPixelRed(p);
area++;
}
if ((channel & GreenChannel) != 0)
{
mean+=GetPixelGreen(p);
sum_squares+=(double) GetPixelGreen(p)*GetPixelGreen(p);
sum_cubes+=(double) GetPixelGreen(p)*GetPixelGreen(p)*
GetPixelGreen(p);
sum_fourth_power+=(double) GetPixelGreen(p)*GetPixelGreen(p)*
GetPixelGreen(p)*GetPixelGreen(p);
area++;
}
if ((channel & BlueChannel) != 0)
{
mean+=GetPixelBlue(p);
sum_squares+=(double) GetPixelBlue(p)*GetPixelBlue(p);
sum_cubes+=(double) GetPixelBlue(p)*GetPixelBlue(p)*GetPixelBlue(p);
sum_fourth_power+=(double) GetPixelBlue(p)*GetPixelBlue(p)*
GetPixelBlue(p)*GetPixelBlue(p);
area++;
}
if ((channel & OpacityChannel) != 0)
{
mean+=GetPixelAlpha(p);
sum_squares+=(double) GetPixelOpacity(p)*GetPixelAlpha(p);
sum_cubes+=(double) GetPixelOpacity(p)*GetPixelAlpha(p)*
GetPixelAlpha(p);
sum_fourth_power+=(double) GetPixelAlpha(p)*GetPixelAlpha(p)*
GetPixelAlpha(p)*GetPixelAlpha(p);
area++;
}
if (((channel & IndexChannel) != 0) &&
(image->colorspace == CMYKColorspace))
{
double
index;
index=(double) GetPixelIndex(indexes+x);
mean+=index;
sum_squares+=index*index;
sum_cubes+=index*index*index;
sum_fourth_power+=index*index*index*index;
area++;
}
p++;
}
}
if (y < (ssize_t) image->rows)
return(MagickFalse);
if (area != 0.0)
{
mean/=area;
sum_squares/=area;
sum_cubes/=area;
sum_fourth_power/=area;
}
standard_deviation=sqrt(sum_squares-(mean*mean));
if (standard_deviation != 0.0)
{
*kurtosis=sum_fourth_power-4.0*mean*sum_cubes+6.0*mean*mean*sum_squares-
3.0*mean*mean*mean*mean;
*kurtosis/=standard_deviation*standard_deviation*standard_deviation*
standard_deviation;
*kurtosis-=3.0;
*skewness=sum_cubes-3.0*mean*sum_squares+2.0*mean*mean*mean;
*skewness/=standard_deviation*standard_deviation*standard_deviation;
}
return(y == (ssize_t) image->rows ? MagickTrue : MagickFalse);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G e t I m a g e C h a n n e l M e a n %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetImageChannelMean() returns the mean and standard deviation of one or more
% image channels.
%
% The format of the GetImageChannelMean method is:
%
% MagickBooleanType GetImageChannelMean(const Image *image,
% const ChannelType channel,double *mean,double *standard_deviation,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o channel: the channel.
%
% o mean: the average value in the channel.
%
% o standard_deviation: the standard deviation of the channel.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport MagickBooleanType GetImageMean(const Image *image,double *mean,
double *standard_deviation,ExceptionInfo *exception)
{
MagickBooleanType
status;
status=GetImageChannelMean(image,CompositeChannels,mean,standard_deviation,
exception);
return(status);
}
MagickExport MagickBooleanType GetImageChannelMean(const Image *image,
const ChannelType channel,double *mean,double *standard_deviation,
ExceptionInfo *exception)
{
ChannelStatistics
*channel_statistics;
size_t
channels;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
channel_statistics=GetImageChannelStatistics(image,exception);
if (channel_statistics == (ChannelStatistics *) NULL)
return(MagickFalse);
channels=0;
channel_statistics[CompositeChannels].mean=0.0;
channel_statistics[CompositeChannels].standard_deviation=0.0;
if ((channel & RedChannel) != 0)
{
channel_statistics[CompositeChannels].mean+=
channel_statistics[RedChannel].mean;
channel_statistics[CompositeChannels].standard_deviation+=
channel_statistics[RedChannel].standard_deviation;
channels++;
}
if ((channel & GreenChannel) != 0)
{
channel_statistics[CompositeChannels].mean+=
channel_statistics[GreenChannel].mean;
channel_statistics[CompositeChannels].standard_deviation+=
channel_statistics[GreenChannel].standard_deviation;
channels++;
}
if ((channel & BlueChannel) != 0)
{
channel_statistics[CompositeChannels].mean+=
channel_statistics[BlueChannel].mean;
channel_statistics[CompositeChannels].standard_deviation+=
channel_statistics[BlueChannel].standard_deviation;
channels++;
}
if (((channel & OpacityChannel) != 0) && (image->matte != MagickFalse))
{
channel_statistics[CompositeChannels].mean+=
(QuantumRange-channel_statistics[OpacityChannel].mean);
channel_statistics[CompositeChannels].standard_deviation+=
channel_statistics[OpacityChannel].standard_deviation;
channels++;
}
if (((channel & IndexChannel) != 0) && (image->colorspace == CMYKColorspace))
{
channel_statistics[CompositeChannels].mean+=
channel_statistics[BlackChannel].mean;
channel_statistics[CompositeChannels].standard_deviation+=
channel_statistics[CompositeChannels].standard_deviation;
channels++;
}
channel_statistics[CompositeChannels].mean/=channels;
channel_statistics[CompositeChannels].standard_deviation/=channels;
*mean=channel_statistics[CompositeChannels].mean;
*standard_deviation=channel_statistics[CompositeChannels].standard_deviation;
channel_statistics=(ChannelStatistics *) RelinquishMagickMemory(
channel_statistics);
return(MagickTrue);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G e t I m a g e C h a n n e l M o m e n t s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetImageChannelMoments() returns the normalized moments of one or more image
% channels.
%
% The format of the GetImageChannelMoments method is:
%
% ChannelMoments *GetImageChannelMoments(const Image *image,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport ChannelMoments *GetImageChannelMoments(const Image *image,
ExceptionInfo *exception)
{
#define MaxNumberImageMoments 8
ChannelMoments
*channel_moments;
double
M00[CompositeChannels+1],
M01[CompositeChannels+1],
M02[CompositeChannels+1],
M03[CompositeChannels+1],
M10[CompositeChannels+1],
M11[CompositeChannels+1],
M12[CompositeChannels+1],
M20[CompositeChannels+1],
M21[CompositeChannels+1],
M22[CompositeChannels+1],
M30[CompositeChannels+1];
MagickPixelPacket
pixel;
PointInfo
centroid[CompositeChannels+1];
ssize_t
channel,
channels,
y;
size_t
length;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
length=CompositeChannels+1UL;
channel_moments=(ChannelMoments *) AcquireQuantumMemory(length,
sizeof(*channel_moments));
if (channel_moments == (ChannelMoments *) NULL)
return(channel_moments);
(void) memset(channel_moments,0,length*sizeof(*channel_moments));
(void) memset(centroid,0,sizeof(centroid));
(void) memset(M00,0,sizeof(M00));
(void) memset(M01,0,sizeof(M01));
(void) memset(M02,0,sizeof(M02));
(void) memset(M03,0,sizeof(M03));
(void) memset(M10,0,sizeof(M10));
(void) memset(M11,0,sizeof(M11));
(void) memset(M12,0,sizeof(M12));
(void) memset(M20,0,sizeof(M20));
(void) memset(M21,0,sizeof(M21));
(void) memset(M22,0,sizeof(M22));
(void) memset(M30,0,sizeof(M30));
GetMagickPixelPacket(image,&pixel);
for (y=0; y < (ssize_t) image->rows; y++)
{
register const IndexPacket
*magick_restrict indexes;
register const PixelPacket
*magick_restrict p;
register ssize_t
x;
/*
Compute center of mass (centroid).
*/
p=GetVirtualPixels(image,0,y,image->columns,1,exception);
if (p == (const PixelPacket *) NULL)
break;
indexes=GetVirtualIndexQueue(image);
for (x=0; x < (ssize_t) image->columns; x++)
{
SetMagickPixelPacket(image,p,indexes+x,&pixel);
M00[RedChannel]+=QuantumScale*pixel.red;
M10[RedChannel]+=x*QuantumScale*pixel.red;
M01[RedChannel]+=y*QuantumScale*pixel.red;
M00[GreenChannel]+=QuantumScale*pixel.green;
M10[GreenChannel]+=x*QuantumScale*pixel.green;
M01[GreenChannel]+=y*QuantumScale*pixel.green;
M00[BlueChannel]+=QuantumScale*pixel.blue;
M10[BlueChannel]+=x*QuantumScale*pixel.blue;
M01[BlueChannel]+=y*QuantumScale*pixel.blue;
if (image->matte != MagickFalse)
{
M00[OpacityChannel]+=QuantumScale*pixel.opacity;
M10[OpacityChannel]+=x*QuantumScale*pixel.opacity;
M01[OpacityChannel]+=y*QuantumScale*pixel.opacity;
}
if (image->colorspace == CMYKColorspace)
{
M00[IndexChannel]+=QuantumScale*pixel.index;
M10[IndexChannel]+=x*QuantumScale*pixel.index;
M01[IndexChannel]+=y*QuantumScale*pixel.index;
}
p++;
}
}
for (channel=0; channel <= CompositeChannels; channel++)
{
/*
Compute center of mass (centroid).
*/
if (M00[channel] < MagickEpsilon)
{
M00[channel]+=MagickEpsilon;
centroid[channel].x=(double) image->columns/2.0;
centroid[channel].y=(double) image->rows/2.0;
continue;
}
M00[channel]+=MagickEpsilon;
centroid[channel].x=M10[channel]/M00[channel];
centroid[channel].y=M01[channel]/M00[channel];
}
for (y=0; y < (ssize_t) image->rows; y++)
{
register const IndexPacket
*magick_restrict indexes;
register const PixelPacket
*magick_restrict p;
register ssize_t
x;
/*
Compute the image moments.
*/
p=GetVirtualPixels(image,0,y,image->columns,1,exception);
if (p == (const PixelPacket *) NULL)
break;
indexes=GetVirtualIndexQueue(image);
for (x=0; x < (ssize_t) image->columns; x++)
{
SetMagickPixelPacket(image,p,indexes+x,&pixel);
M11[RedChannel]+=(x-centroid[RedChannel].x)*(y-
centroid[RedChannel].y)*QuantumScale*pixel.red;
M20[RedChannel]+=(x-centroid[RedChannel].x)*(x-
centroid[RedChannel].x)*QuantumScale*pixel.red;
M02[RedChannel]+=(y-centroid[RedChannel].y)*(y-
centroid[RedChannel].y)*QuantumScale*pixel.red;
M21[RedChannel]+=(x-centroid[RedChannel].x)*(x-
centroid[RedChannel].x)*(y-centroid[RedChannel].y)*QuantumScale*
pixel.red;
M12[RedChannel]+=(x-centroid[RedChannel].x)*(y-
centroid[RedChannel].y)*(y-centroid[RedChannel].y)*QuantumScale*
pixel.red;
M22[RedChannel]+=(x-centroid[RedChannel].x)*(x-
centroid[RedChannel].x)*(y-centroid[RedChannel].y)*(y-
centroid[RedChannel].y)*QuantumScale*pixel.red;
M30[RedChannel]+=(x-centroid[RedChannel].x)*(x-
centroid[RedChannel].x)*(x-centroid[RedChannel].x)*QuantumScale*
pixel.red;
M03[RedChannel]+=(y-centroid[RedChannel].y)*(y-
centroid[RedChannel].y)*(y-centroid[RedChannel].y)*QuantumScale*
pixel.red;
M11[GreenChannel]+=(x-centroid[GreenChannel].x)*(y-
centroid[GreenChannel].y)*QuantumScale*pixel.green;
M20[GreenChannel]+=(x-centroid[GreenChannel].x)*(x-
centroid[GreenChannel].x)*QuantumScale*pixel.green;
M02[GreenChannel]+=(y-centroid[GreenChannel].y)*(y-
centroid[GreenChannel].y)*QuantumScale*pixel.green;
M21[GreenChannel]+=(x-centroid[GreenChannel].x)*(x-
centroid[GreenChannel].x)*(y-centroid[GreenChannel].y)*QuantumScale*
pixel.green;
M12[GreenChannel]+=(x-centroid[GreenChannel].x)*(y-
centroid[GreenChannel].y)*(y-centroid[GreenChannel].y)*QuantumScale*
pixel.green;
M22[GreenChannel]+=(x-centroid[GreenChannel].x)*(x-
centroid[GreenChannel].x)*(y-centroid[GreenChannel].y)*(y-
centroid[GreenChannel].y)*QuantumScale*pixel.green;
M30[GreenChannel]+=(x-centroid[GreenChannel].x)*(x-
centroid[GreenChannel].x)*(x-centroid[GreenChannel].x)*QuantumScale*
pixel.green;
M03[GreenChannel]+=(y-centroid[GreenChannel].y)*(y-
centroid[GreenChannel].y)*(y-centroid[GreenChannel].y)*QuantumScale*
pixel.green;
M11[BlueChannel]+=(x-centroid[BlueChannel].x)*(y-
centroid[BlueChannel].y)*QuantumScale*pixel.blue;
M20[BlueChannel]+=(x-centroid[BlueChannel].x)*(x-
centroid[BlueChannel].x)*QuantumScale*pixel.blue;
M02[BlueChannel]+=(y-centroid[BlueChannel].y)*(y-
centroid[BlueChannel].y)*QuantumScale*pixel.blue;
M21[BlueChannel]+=(x-centroid[BlueChannel].x)*(x-
centroid[BlueChannel].x)*(y-centroid[BlueChannel].y)*QuantumScale*
pixel.blue;
M12[BlueChannel]+=(x-centroid[BlueChannel].x)*(y-
centroid[BlueChannel].y)*(y-centroid[BlueChannel].y)*QuantumScale*
pixel.blue;
M22[BlueChannel]+=(x-centroid[BlueChannel].x)*(x-
centroid[BlueChannel].x)*(y-centroid[BlueChannel].y)*(y-
centroid[BlueChannel].y)*QuantumScale*pixel.blue;
M30[BlueChannel]+=(x-centroid[BlueChannel].x)*(x-
centroid[BlueChannel].x)*(x-centroid[BlueChannel].x)*QuantumScale*
pixel.blue;
M03[BlueChannel]+=(y-centroid[BlueChannel].y)*(y-
centroid[BlueChannel].y)*(y-centroid[BlueChannel].y)*QuantumScale*
pixel.blue;
if (image->matte != MagickFalse)
{
M11[OpacityChannel]+=(x-centroid[OpacityChannel].x)*(y-
centroid[OpacityChannel].y)*QuantumScale*pixel.opacity;
M20[OpacityChannel]+=(x-centroid[OpacityChannel].x)*(x-
centroid[OpacityChannel].x)*QuantumScale*pixel.opacity;
M02[OpacityChannel]+=(y-centroid[OpacityChannel].y)*(y-
centroid[OpacityChannel].y)*QuantumScale*pixel.opacity;
M21[OpacityChannel]+=(x-centroid[OpacityChannel].x)*(x-
centroid[OpacityChannel].x)*(y-centroid[OpacityChannel].y)*
QuantumScale*pixel.opacity;
M12[OpacityChannel]+=(x-centroid[OpacityChannel].x)*(y-
centroid[OpacityChannel].y)*(y-centroid[OpacityChannel].y)*
QuantumScale*pixel.opacity;
M22[OpacityChannel]+=(x-centroid[OpacityChannel].x)*(x-
centroid[OpacityChannel].x)*(y-centroid[OpacityChannel].y)*(y-
centroid[OpacityChannel].y)*QuantumScale*pixel.opacity;
M30[OpacityChannel]+=(x-centroid[OpacityChannel].x)*(x-
centroid[OpacityChannel].x)*(x-centroid[OpacityChannel].x)*
QuantumScale*pixel.opacity;
M03[OpacityChannel]+=(y-centroid[OpacityChannel].y)*(y-
centroid[OpacityChannel].y)*(y-centroid[OpacityChannel].y)*
QuantumScale*pixel.opacity;
}
if (image->colorspace == CMYKColorspace)
{
M11[IndexChannel]+=(x-centroid[IndexChannel].x)*(y-
centroid[IndexChannel].y)*QuantumScale*pixel.index;
M20[IndexChannel]+=(x-centroid[IndexChannel].x)*(x-
centroid[IndexChannel].x)*QuantumScale*pixel.index;
M02[IndexChannel]+=(y-centroid[IndexChannel].y)*(y-
centroid[IndexChannel].y)*QuantumScale*pixel.index;
M21[IndexChannel]+=(x-centroid[IndexChannel].x)*(x-
centroid[IndexChannel].x)*(y-centroid[IndexChannel].y)*
QuantumScale*pixel.index;
M12[IndexChannel]+=(x-centroid[IndexChannel].x)*(y-
centroid[IndexChannel].y)*(y-centroid[IndexChannel].y)*
QuantumScale*pixel.index;
M22[IndexChannel]+=(x-centroid[IndexChannel].x)*(x-
centroid[IndexChannel].x)*(y-centroid[IndexChannel].y)*(y-
centroid[IndexChannel].y)*QuantumScale*pixel.index;
M30[IndexChannel]+=(x-centroid[IndexChannel].x)*(x-
centroid[IndexChannel].x)*(x-centroid[IndexChannel].x)*
QuantumScale*pixel.index;
M03[IndexChannel]+=(y-centroid[IndexChannel].y)*(y-
centroid[IndexChannel].y)*(y-centroid[IndexChannel].y)*
QuantumScale*pixel.index;
}
p++;
}
}
channels=3;
M00[CompositeChannels]+=(M00[RedChannel]+M00[GreenChannel]+M00[BlueChannel]);
M01[CompositeChannels]+=(M01[RedChannel]+M01[GreenChannel]+M01[BlueChannel]);
M02[CompositeChannels]+=(M02[RedChannel]+M02[GreenChannel]+M02[BlueChannel]);
M03[CompositeChannels]+=(M03[RedChannel]+M03[GreenChannel]+M03[BlueChannel]);
M10[CompositeChannels]+=(M10[RedChannel]+M10[GreenChannel]+M10[BlueChannel]);
M11[CompositeChannels]+=(M11[RedChannel]+M11[GreenChannel]+M11[BlueChannel]);
M12[CompositeChannels]+=(M12[RedChannel]+M12[GreenChannel]+M12[BlueChannel]);
M20[CompositeChannels]+=(M20[RedChannel]+M20[GreenChannel]+M20[BlueChannel]);
M21[CompositeChannels]+=(M21[RedChannel]+M21[GreenChannel]+M21[BlueChannel]);
M22[CompositeChannels]+=(M22[RedChannel]+M22[GreenChannel]+M22[BlueChannel]);
M30[CompositeChannels]+=(M30[RedChannel]+M30[GreenChannel]+M30[BlueChannel]);
if (image->matte != MagickFalse)
{
channels+=1;
M00[CompositeChannels]+=M00[OpacityChannel];
M01[CompositeChannels]+=M01[OpacityChannel];
M02[CompositeChannels]+=M02[OpacityChannel];
M03[CompositeChannels]+=M03[OpacityChannel];
M10[CompositeChannels]+=M10[OpacityChannel];
M11[CompositeChannels]+=M11[OpacityChannel];
M12[CompositeChannels]+=M12[OpacityChannel];
M20[CompositeChannels]+=M20[OpacityChannel];
M21[CompositeChannels]+=M21[OpacityChannel];
M22[CompositeChannels]+=M22[OpacityChannel];
M30[CompositeChannels]+=M30[OpacityChannel];
}
if (image->colorspace == CMYKColorspace)
{
channels+=1;
M00[CompositeChannels]+=M00[IndexChannel];
M01[CompositeChannels]+=M01[IndexChannel];
M02[CompositeChannels]+=M02[IndexChannel];
M03[CompositeChannels]+=M03[IndexChannel];
M10[CompositeChannels]+=M10[IndexChannel];
M11[CompositeChannels]+=M11[IndexChannel];
M12[CompositeChannels]+=M12[IndexChannel];
M20[CompositeChannels]+=M20[IndexChannel];
M21[CompositeChannels]+=M21[IndexChannel];
M22[CompositeChannels]+=M22[IndexChannel];
M30[CompositeChannels]+=M30[IndexChannel];
}
M00[CompositeChannels]/=(double) channels;
M01[CompositeChannels]/=(double) channels;
M02[CompositeChannels]/=(double) channels;
M03[CompositeChannels]/=(double) channels;
M10[CompositeChannels]/=(double) channels;
M11[CompositeChannels]/=(double) channels;
M12[CompositeChannels]/=(double) channels;
M20[CompositeChannels]/=(double) channels;
M21[CompositeChannels]/=(double) channels;
M22[CompositeChannels]/=(double) channels;
M30[CompositeChannels]/=(double) channels;
for (channel=0; channel <= CompositeChannels; channel++)
{
/*
Compute elliptical angle, major and minor axes, eccentricity, & intensity.
*/
channel_moments[channel].centroid=centroid[channel];
channel_moments[channel].ellipse_axis.x=sqrt((2.0/M00[channel])*
((M20[channel]+M02[channel])+sqrt(4.0*M11[channel]*M11[channel]+
(M20[channel]-M02[channel])*(M20[channel]-M02[channel]))));
channel_moments[channel].ellipse_axis.y=sqrt((2.0/M00[channel])*
((M20[channel]+M02[channel])-sqrt(4.0*M11[channel]*M11[channel]+
(M20[channel]-M02[channel])*(M20[channel]-M02[channel]))));
channel_moments[channel].ellipse_angle=RadiansToDegrees(0.5*atan(2.0*
M11[channel]/(M20[channel]-M02[channel]+MagickEpsilon)));
if (fabs(M11[channel]) < MagickEpsilon)
{
if (fabs(M20[channel]-M02[channel]) < MagickEpsilon)
channel_moments[channel].ellipse_angle+=0.0;
else
if ((M20[channel]-M02[channel]) < 0.0)
channel_moments[channel].ellipse_angle+=90.0;
else
channel_moments[channel].ellipse_angle+=0.0;
}
else
if (M11[channel] < 0.0)
{
if (fabs(M20[channel]-M02[channel]) < MagickEpsilon)
channel_moments[channel].ellipse_angle+=0.0;
else
if ((M20[channel]-M02[channel]) < 0.0)
channel_moments[channel].ellipse_angle+=90.0;
else
channel_moments[channel].ellipse_angle+=180.0;
}
else
{
if (fabs(M20[channel]-M02[channel]) < MagickEpsilon)
channel_moments[channel].ellipse_angle+=0.0;
else
if ((M20[channel]-M02[channel]) < 0.0)
channel_moments[channel].ellipse_angle+=90.0;
else
channel_moments[channel].ellipse_angle+=0.0;
}
channel_moments[channel].ellipse_eccentricity=sqrt(1.0-(
channel_moments[channel].ellipse_axis.y/
(channel_moments[channel].ellipse_axis.x+MagickEpsilon)));
channel_moments[channel].ellipse_intensity=M00[channel]/
(MagickPI*channel_moments[channel].ellipse_axis.x*
channel_moments[channel].ellipse_axis.y+MagickEpsilon);
}
for (channel=0; channel <= CompositeChannels; channel++)
{
/*
Normalize image moments.
*/
M10[channel]=0.0;
M01[channel]=0.0;
M11[channel]/=pow(M00[channel],1.0+(1.0+1.0)/2.0);
M20[channel]/=pow(M00[channel],1.0+(2.0+0.0)/2.0);
M02[channel]/=pow(M00[channel],1.0+(0.0+2.0)/2.0);
M21[channel]/=pow(M00[channel],1.0+(2.0+1.0)/2.0);
M12[channel]/=pow(M00[channel],1.0+(1.0+2.0)/2.0);
M22[channel]/=pow(M00[channel],1.0+(2.0+2.0)/2.0);
M30[channel]/=pow(M00[channel],1.0+(3.0+0.0)/2.0);
M03[channel]/=pow(M00[channel],1.0+(0.0+3.0)/2.0);
M00[channel]=1.0;
}
for (channel=0; channel <= CompositeChannels; channel++)
{
/*
Compute Hu invariant moments.
*/
channel_moments[channel].I[0]=M20[channel]+M02[channel];
channel_moments[channel].I[1]=(M20[channel]-M02[channel])*
(M20[channel]-M02[channel])+4.0*M11[channel]*M11[channel];
channel_moments[channel].I[2]=(M30[channel]-3.0*M12[channel])*
(M30[channel]-3.0*M12[channel])+(3.0*M21[channel]-M03[channel])*
(3.0*M21[channel]-M03[channel]);
channel_moments[channel].I[3]=(M30[channel]+M12[channel])*
(M30[channel]+M12[channel])+(M21[channel]+M03[channel])*
(M21[channel]+M03[channel]);
channel_moments[channel].I[4]=(M30[channel]-3.0*M12[channel])*
(M30[channel]+M12[channel])*((M30[channel]+M12[channel])*
(M30[channel]+M12[channel])-3.0*(M21[channel]+M03[channel])*
(M21[channel]+M03[channel]))+(3.0*M21[channel]-M03[channel])*
(M21[channel]+M03[channel])*(3.0*(M30[channel]+M12[channel])*
(M30[channel]+M12[channel])-(M21[channel]+M03[channel])*
(M21[channel]+M03[channel]));
channel_moments[channel].I[5]=(M20[channel]-M02[channel])*
((M30[channel]+M12[channel])*(M30[channel]+M12[channel])-
(M21[channel]+M03[channel])*(M21[channel]+M03[channel]))+
4.0*M11[channel]*(M30[channel]+M12[channel])*(M21[channel]+M03[channel]);
channel_moments[channel].I[6]=(3.0*M21[channel]-M03[channel])*
(M30[channel]+M12[channel])*((M30[channel]+M12[channel])*
(M30[channel]+M12[channel])-3.0*(M21[channel]+M03[channel])*
(M21[channel]+M03[channel]))-(M30[channel]-3*M12[channel])*
(M21[channel]+M03[channel])*(3.0*(M30[channel]+M12[channel])*
(M30[channel]+M12[channel])-(M21[channel]+M03[channel])*
(M21[channel]+M03[channel]));
channel_moments[channel].I[7]=M11[channel]*((M30[channel]+M12[channel])*
(M30[channel]+M12[channel])-(M03[channel]+M21[channel])*
(M03[channel]+M21[channel]))-(M20[channel]-M02[channel])*
(M30[channel]+M12[channel])*(M03[channel]+M21[channel]);
}
if (y < (ssize_t) image->rows)
channel_moments=(ChannelMoments *) RelinquishMagickMemory(channel_moments);
return(channel_moments);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G e t I m a g e C h a n n e l P e r c e p t u a l H a s h %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetImageChannelPerceptualHash() returns the perceptual hash of one or more
% image channels.
%
% The format of the GetImageChannelPerceptualHash method is:
%
% ChannelPerceptualHash *GetImageChannelPerceptualHash(const Image *image,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o exception: return any errors or warnings in this structure.
%
*/
static inline double MagickLog10(const double x)
{
#define Log10Epsilon (1.0e-11)
if (fabs(x) < Log10Epsilon)
return(log10(Log10Epsilon));
return(log10(fabs(x)));
}
MagickExport ChannelPerceptualHash *GetImageChannelPerceptualHash(
const Image *image,ExceptionInfo *exception)
{
ChannelMoments
*moments;
ChannelPerceptualHash
*perceptual_hash;
Image
*hash_image;
MagickBooleanType
status;
register ssize_t
i;
ssize_t
channel;
/*
Blur then transform to sRGB colorspace.
*/
hash_image=BlurImage(image,0.0,1.0,exception);
if (hash_image == (Image *) NULL)
return((ChannelPerceptualHash *) NULL);
hash_image->depth=8;
status=TransformImageColorspace(hash_image,sRGBColorspace);
if (status == MagickFalse)
return((ChannelPerceptualHash *) NULL);
moments=GetImageChannelMoments(hash_image,exception);
hash_image=DestroyImage(hash_image);
if (moments == (ChannelMoments *) NULL)
return((ChannelPerceptualHash *) NULL);
perceptual_hash=(ChannelPerceptualHash *) AcquireQuantumMemory(
CompositeChannels+1UL,sizeof(*perceptual_hash));
if (perceptual_hash == (ChannelPerceptualHash *) NULL)
return((ChannelPerceptualHash *) NULL);
for (channel=0; channel <= CompositeChannels; channel++)
for (i=0; i < MaximumNumberOfImageMoments; i++)
perceptual_hash[channel].P[i]=(-MagickLog10(moments[channel].I[i]));
moments=(ChannelMoments *) RelinquishMagickMemory(moments);
/*
Blur then transform to HCLp colorspace.
*/
hash_image=BlurImage(image,0.0,1.0,exception);
if (hash_image == (Image *) NULL)
{
perceptual_hash=(ChannelPerceptualHash *) RelinquishMagickMemory(
perceptual_hash);
return((ChannelPerceptualHash *) NULL);
}
hash_image->depth=8;
status=TransformImageColorspace(hash_image,HCLpColorspace);
if (status == MagickFalse)
{
perceptual_hash=(ChannelPerceptualHash *) RelinquishMagickMemory(
perceptual_hash);
return((ChannelPerceptualHash *) NULL);
}
moments=GetImageChannelMoments(hash_image,exception);
hash_image=DestroyImage(hash_image);
if (moments == (ChannelMoments *) NULL)
{
perceptual_hash=(ChannelPerceptualHash *) RelinquishMagickMemory(
perceptual_hash);
return((ChannelPerceptualHash *) NULL);
}
for (channel=0; channel <= CompositeChannels; channel++)
for (i=0; i < MaximumNumberOfImageMoments; i++)
perceptual_hash[channel].Q[i]=(-MagickLog10(moments[channel].I[i]));
moments=(ChannelMoments *) RelinquishMagickMemory(moments);
return(perceptual_hash);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G e t I m a g e C h a n n e l R a n g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetImageChannelRange() returns the range of one or more image channels.
%
% The format of the GetImageChannelRange method is:
%
% MagickBooleanType GetImageChannelRange(const Image *image,
% const ChannelType channel,double *minima,double *maxima,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o channel: the channel.
%
% o minima: the minimum value in the channel.
%
% o maxima: the maximum value in the channel.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport MagickBooleanType GetImageRange(const Image *image,
double *minima,double *maxima,ExceptionInfo *exception)
{
return(GetImageChannelRange(image,CompositeChannels,minima,maxima,exception));
}
MagickExport MagickBooleanType GetImageChannelRange(const Image *image,
const ChannelType channel,double *minima,double *maxima,
ExceptionInfo *exception)
{
MagickPixelPacket
pixel;
ssize_t
y;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
*maxima=(-MagickMaximumValue);
*minima=MagickMaximumValue;
GetMagickPixelPacket(image,&pixel);
for (y=0; y < (ssize_t) image->rows; y++)
{
register const IndexPacket
*magick_restrict indexes;
register const PixelPacket
*magick_restrict p;
register ssize_t
x;
p=GetVirtualPixels(image,0,y,image->columns,1,exception);
if (p == (const PixelPacket *) NULL)
break;
indexes=GetVirtualIndexQueue(image);
for (x=0; x < (ssize_t) image->columns; x++)
{
SetMagickPixelPacket(image,p,indexes+x,&pixel);
if ((channel & RedChannel) != 0)
{
if (pixel.red < *minima)
*minima=(double) pixel.red;
if (pixel.red > *maxima)
*maxima=(double) pixel.red;
}
if ((channel & GreenChannel) != 0)
{
if (pixel.green < *minima)
*minima=(double) pixel.green;
if (pixel.green > *maxima)
*maxima=(double) pixel.green;
}
if ((channel & BlueChannel) != 0)
{
if (pixel.blue < *minima)
*minima=(double) pixel.blue;
if (pixel.blue > *maxima)
*maxima=(double) pixel.blue;
}
if (((channel & OpacityChannel) != 0) && (image->matte != MagickFalse))
{
if ((QuantumRange-pixel.opacity) < *minima)
*minima=(double) (QuantumRange-pixel.opacity);
if ((QuantumRange-pixel.opacity) > *maxima)
*maxima=(double) (QuantumRange-pixel.opacity);
}
if (((channel & IndexChannel) != 0) &&
(image->colorspace == CMYKColorspace))
{
if ((double) pixel.index < *minima)
*minima=(double) pixel.index;
if ((double) pixel.index > *maxima)
*maxima=(double) pixel.index;
}
p++;
}
}
return(y == (ssize_t) image->rows ? MagickTrue : MagickFalse);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G e t I m a g e C h a n n e l S t a t i s t i c s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetImageChannelStatistics() returns statistics for each channel in the
% image. The statistics include the channel depth, its minima, maxima, mean,
% standard deviation, kurtosis and skewness. You can access the red channel
% mean, for example, like this:
%
% channel_statistics=GetImageChannelStatistics(image,exception);
% red_mean=channel_statistics[RedChannel].mean;
%
% Use MagickRelinquishMemory() to free the statistics buffer.
%
% The format of the GetImageChannelStatistics method is:
%
% ChannelStatistics *GetImageChannelStatistics(const Image *image,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport ChannelStatistics *GetImageChannelStatistics(const Image *image,
ExceptionInfo *exception)
{
ChannelStatistics
*channel_statistics;
double
area,
standard_deviation;
MagickPixelPacket
number_bins,
*histogram;
QuantumAny
range;
register ssize_t
i;
size_t
channels,
depth,
length;
ssize_t
y;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
length=CompositeChannels+1UL;
channel_statistics=(ChannelStatistics *) AcquireQuantumMemory(length,
sizeof(*channel_statistics));
histogram=(MagickPixelPacket *) AcquireQuantumMemory(MaxMap+1U,
sizeof(*histogram));
if ((channel_statistics == (ChannelStatistics *) NULL) ||
(histogram == (MagickPixelPacket *) NULL))
{
if (histogram != (MagickPixelPacket *) NULL)
histogram=(MagickPixelPacket *) RelinquishMagickMemory(histogram);
if (channel_statistics != (ChannelStatistics *) NULL)
channel_statistics=(ChannelStatistics *) RelinquishMagickMemory(
channel_statistics);
return(channel_statistics);
}
(void) memset(channel_statistics,0,length*
sizeof(*channel_statistics));
for (i=0; i <= (ssize_t) CompositeChannels; i++)
{
channel_statistics[i].depth=1;
channel_statistics[i].maxima=(-MagickMaximumValue);
channel_statistics[i].minima=MagickMaximumValue;
}
(void) memset(histogram,0,(MaxMap+1U)*sizeof(*histogram));
(void) memset(&number_bins,0,sizeof(number_bins));
for (y=0; y < (ssize_t) image->rows; y++)
{
register const IndexPacket
*magick_restrict indexes;
register const PixelPacket
*magick_restrict p;
register ssize_t
x;
/*
Compute pixel statistics.
*/
p=GetVirtualPixels(image,0,y,image->columns,1,exception);
if (p == (const PixelPacket *) NULL)
break;
indexes=GetVirtualIndexQueue(image);
for (x=0; x < (ssize_t) image->columns; )
{
if (channel_statistics[RedChannel].depth != MAGICKCORE_QUANTUM_DEPTH)
{
depth=channel_statistics[RedChannel].depth;
range=GetQuantumRange(depth);
if (IsPixelAtDepth(GetPixelRed(p),range) == MagickFalse)
{
channel_statistics[RedChannel].depth++;
continue;
}
}
if (channel_statistics[GreenChannel].depth != MAGICKCORE_QUANTUM_DEPTH)
{
depth=channel_statistics[GreenChannel].depth;
range=GetQuantumRange(depth);
if (IsPixelAtDepth(GetPixelGreen(p),range) == MagickFalse)
{
channel_statistics[GreenChannel].depth++;
continue;
}
}
if (channel_statistics[BlueChannel].depth != MAGICKCORE_QUANTUM_DEPTH)
{
depth=channel_statistics[BlueChannel].depth;
range=GetQuantumRange(depth);
if (IsPixelAtDepth(GetPixelBlue(p),range) == MagickFalse)
{
channel_statistics[BlueChannel].depth++;
continue;
}
}
if (image->matte != MagickFalse)
{
if (channel_statistics[OpacityChannel].depth != MAGICKCORE_QUANTUM_DEPTH)
{
depth=channel_statistics[OpacityChannel].depth;
range=GetQuantumRange(depth);
if (IsPixelAtDepth(GetPixelAlpha(p),range) == MagickFalse)
{
channel_statistics[OpacityChannel].depth++;
continue;
}
}
}
if (image->colorspace == CMYKColorspace)
{
if (channel_statistics[BlackChannel].depth != MAGICKCORE_QUANTUM_DEPTH)
{
depth=channel_statistics[BlackChannel].depth;
range=GetQuantumRange(depth);
if (IsPixelAtDepth(GetPixelIndex(indexes+x),range) == MagickFalse)
{
channel_statistics[BlackChannel].depth++;
continue;
}
}
}
if ((double) GetPixelRed(p) < channel_statistics[RedChannel].minima)
channel_statistics[RedChannel].minima=(double) GetPixelRed(p);
if ((double) GetPixelRed(p) > channel_statistics[RedChannel].maxima)
channel_statistics[RedChannel].maxima=(double) GetPixelRed(p);
channel_statistics[RedChannel].sum+=GetPixelRed(p);
channel_statistics[RedChannel].sum_squared+=(double) GetPixelRed(p)*
GetPixelRed(p);
channel_statistics[RedChannel].sum_cubed+=(double)
GetPixelRed(p)*GetPixelRed(p)*GetPixelRed(p);
channel_statistics[RedChannel].sum_fourth_power+=(double)
GetPixelRed(p)*GetPixelRed(p)*GetPixelRed(p)*GetPixelRed(p);
if ((double) GetPixelGreen(p) < channel_statistics[GreenChannel].minima)
channel_statistics[GreenChannel].minima=(double) GetPixelGreen(p);
if ((double) GetPixelGreen(p) > channel_statistics[GreenChannel].maxima)
channel_statistics[GreenChannel].maxima=(double) GetPixelGreen(p);
channel_statistics[GreenChannel].sum+=GetPixelGreen(p);
channel_statistics[GreenChannel].sum_squared+=(double) GetPixelGreen(p)*
GetPixelGreen(p);
channel_statistics[GreenChannel].sum_cubed+=(double) GetPixelGreen(p)*
GetPixelGreen(p)*GetPixelGreen(p);
channel_statistics[GreenChannel].sum_fourth_power+=(double)
GetPixelGreen(p)*GetPixelGreen(p)*GetPixelGreen(p)*GetPixelGreen(p);
if ((double) GetPixelBlue(p) < channel_statistics[BlueChannel].minima)
channel_statistics[BlueChannel].minima=(double) GetPixelBlue(p);
if ((double) GetPixelBlue(p) > channel_statistics[BlueChannel].maxima)
channel_statistics[BlueChannel].maxima=(double) GetPixelBlue(p);
channel_statistics[BlueChannel].sum+=GetPixelBlue(p);
channel_statistics[BlueChannel].sum_squared+=(double) GetPixelBlue(p)*
GetPixelBlue(p);
channel_statistics[BlueChannel].sum_cubed+=(double) GetPixelBlue(p)*
GetPixelBlue(p)*GetPixelBlue(p);
channel_statistics[BlueChannel].sum_fourth_power+=(double)
GetPixelBlue(p)*GetPixelBlue(p)*GetPixelBlue(p)*GetPixelBlue(p);
histogram[ScaleQuantumToMap(GetPixelRed(p))].red++;
histogram[ScaleQuantumToMap(GetPixelGreen(p))].green++;
histogram[ScaleQuantumToMap(GetPixelBlue(p))].blue++;
if (image->matte != MagickFalse)
{
if ((double) GetPixelAlpha(p) < channel_statistics[OpacityChannel].minima)
channel_statistics[OpacityChannel].minima=(double) GetPixelAlpha(p);
if ((double) GetPixelAlpha(p) > channel_statistics[OpacityChannel].maxima)
channel_statistics[OpacityChannel].maxima=(double) GetPixelAlpha(p);
channel_statistics[OpacityChannel].sum+=GetPixelAlpha(p);
channel_statistics[OpacityChannel].sum_squared+=(double)
GetPixelAlpha(p)*GetPixelAlpha(p);
channel_statistics[OpacityChannel].sum_cubed+=(double)
GetPixelAlpha(p)*GetPixelAlpha(p)*GetPixelAlpha(p);
channel_statistics[OpacityChannel].sum_fourth_power+=(double)
GetPixelAlpha(p)*GetPixelAlpha(p)*GetPixelAlpha(p)*GetPixelAlpha(p);
histogram[ScaleQuantumToMap(GetPixelAlpha(p))].opacity++;
}
if (image->colorspace == CMYKColorspace)
{
if ((double) GetPixelIndex(indexes+x) < channel_statistics[BlackChannel].minima)
channel_statistics[BlackChannel].minima=(double)
GetPixelIndex(indexes+x);
if ((double) GetPixelIndex(indexes+x) > channel_statistics[BlackChannel].maxima)
channel_statistics[BlackChannel].maxima=(double)
GetPixelIndex(indexes+x);
channel_statistics[BlackChannel].sum+=GetPixelIndex(indexes+x);
channel_statistics[BlackChannel].sum_squared+=(double)
GetPixelIndex(indexes+x)*GetPixelIndex(indexes+x);
channel_statistics[BlackChannel].sum_cubed+=(double)
GetPixelIndex(indexes+x)*GetPixelIndex(indexes+x)*
GetPixelIndex(indexes+x);
channel_statistics[BlackChannel].sum_fourth_power+=(double)
GetPixelIndex(indexes+x)*GetPixelIndex(indexes+x)*
GetPixelIndex(indexes+x)*GetPixelIndex(indexes+x);
histogram[ScaleQuantumToMap(GetPixelIndex(indexes+x))].index++;
}
x++;
p++;
}
}
for (i=0; i < (ssize_t) CompositeChannels; i++)
{
double
area,
mean,
standard_deviation;
/*
Normalize pixel statistics.
*/
area=PerceptibleReciprocal((double) image->columns*image->rows);
mean=channel_statistics[i].sum*area;
channel_statistics[i].sum=mean;
channel_statistics[i].sum_squared*=area;
channel_statistics[i].sum_cubed*=area;
channel_statistics[i].sum_fourth_power*=area;
channel_statistics[i].mean=mean;
channel_statistics[i].variance=channel_statistics[i].sum_squared;
standard_deviation=sqrt(channel_statistics[i].variance-(mean*mean));
area=PerceptibleReciprocal((double) image->columns*image->rows-1.0)*
((double) image->columns*image->rows);
standard_deviation=sqrt(area*standard_deviation*standard_deviation);
channel_statistics[i].standard_deviation=standard_deviation;
}
for (i=0; i < (ssize_t) (MaxMap+1U); i++)
{
if (histogram[i].red > 0.0)
number_bins.red++;
if (histogram[i].green > 0.0)
number_bins.green++;
if (histogram[i].blue > 0.0)
number_bins.blue++;
if ((image->matte != MagickFalse) && (histogram[i].opacity > 0.0))
number_bins.opacity++;
if ((image->colorspace == CMYKColorspace) && (histogram[i].index > 0.0))
number_bins.index++;
}
area=PerceptibleReciprocal((double) image->columns*image->rows);
for (i=0; i < (ssize_t) (MaxMap+1U); i++)
{
/*
Compute pixel entropy.
*/
histogram[i].red*=area;
channel_statistics[RedChannel].entropy+=-histogram[i].red*
MagickLog10(histogram[i].red)*
PerceptibleReciprocal(MagickLog10((double) number_bins.red));
histogram[i].green*=area;
channel_statistics[GreenChannel].entropy+=-histogram[i].green*
MagickLog10(histogram[i].green)*
PerceptibleReciprocal(MagickLog10((double) number_bins.green));
histogram[i].blue*=area;
channel_statistics[BlueChannel].entropy+=-histogram[i].blue*
MagickLog10(histogram[i].blue)*
PerceptibleReciprocal(MagickLog10((double) number_bins.blue));
if (image->matte != MagickFalse)
{
histogram[i].opacity*=area;
channel_statistics[OpacityChannel].entropy+=-histogram[i].opacity*
MagickLog10(histogram[i].opacity)*
PerceptibleReciprocal(MagickLog10((double) number_bins.opacity));
}
if (image->colorspace == CMYKColorspace)
{
histogram[i].index*=area;
channel_statistics[IndexChannel].entropy+=-histogram[i].index*
MagickLog10(histogram[i].index)*
PerceptibleReciprocal(MagickLog10((double) number_bins.index));
}
}
/*
Compute overall statistics.
*/
for (i=0; i < (ssize_t) CompositeChannels; i++)
{
channel_statistics[CompositeChannels].depth=(size_t) EvaluateMax((double)
channel_statistics[CompositeChannels].depth,(double)
channel_statistics[i].depth);
channel_statistics[CompositeChannels].minima=MagickMin(
channel_statistics[CompositeChannels].minima,
channel_statistics[i].minima);
channel_statistics[CompositeChannels].maxima=EvaluateMax(
channel_statistics[CompositeChannels].maxima,
channel_statistics[i].maxima);
channel_statistics[CompositeChannels].sum+=channel_statistics[i].sum;
channel_statistics[CompositeChannels].sum_squared+=
channel_statistics[i].sum_squared;
channel_statistics[CompositeChannels].sum_cubed+=
channel_statistics[i].sum_cubed;
channel_statistics[CompositeChannels].sum_fourth_power+=
channel_statistics[i].sum_fourth_power;
channel_statistics[CompositeChannels].mean+=channel_statistics[i].mean;
channel_statistics[CompositeChannels].variance+=
channel_statistics[i].variance-channel_statistics[i].mean*
channel_statistics[i].mean;
standard_deviation=sqrt(channel_statistics[i].variance-
(channel_statistics[i].mean*channel_statistics[i].mean));
area=PerceptibleReciprocal((double) image->columns*image->rows-1.0)*
((double) image->columns*image->rows);
standard_deviation=sqrt(area*standard_deviation*standard_deviation);
channel_statistics[CompositeChannels].standard_deviation=standard_deviation;
channel_statistics[CompositeChannels].entropy+=
channel_statistics[i].entropy;
}
channels=3;
if (image->matte != MagickFalse)
channels++;
if (image->colorspace == CMYKColorspace)
channels++;
channel_statistics[CompositeChannels].sum/=channels;
channel_statistics[CompositeChannels].sum_squared/=channels;
channel_statistics[CompositeChannels].sum_cubed/=channels;
channel_statistics[CompositeChannels].sum_fourth_power/=channels;
channel_statistics[CompositeChannels].mean/=channels;
channel_statistics[CompositeChannels].kurtosis/=channels;
channel_statistics[CompositeChannels].skewness/=channels;
channel_statistics[CompositeChannels].entropy/=channels;
i=CompositeChannels;
area=PerceptibleReciprocal((double) channels*image->columns*image->rows);
channel_statistics[i].variance=channel_statistics[i].sum_squared;
channel_statistics[i].mean=channel_statistics[i].sum;
standard_deviation=sqrt(channel_statistics[i].variance-
(channel_statistics[i].mean*channel_statistics[i].mean));
standard_deviation=sqrt(PerceptibleReciprocal((double) channels*
image->columns*image->rows-1.0)*channels*image->columns*image->rows*
standard_deviation*standard_deviation);
channel_statistics[i].standard_deviation=standard_deviation;
for (i=0; i <= (ssize_t) CompositeChannels; i++)
{
/*
Compute kurtosis & skewness statistics.
*/
standard_deviation=PerceptibleReciprocal(
channel_statistics[i].standard_deviation);
channel_statistics[i].skewness=(channel_statistics[i].sum_cubed-3.0*
channel_statistics[i].mean*channel_statistics[i].sum_squared+2.0*
channel_statistics[i].mean*channel_statistics[i].mean*
channel_statistics[i].mean)*(standard_deviation*standard_deviation*
standard_deviation);
channel_statistics[i].kurtosis=(channel_statistics[i].sum_fourth_power-4.0*
channel_statistics[i].mean*channel_statistics[i].sum_cubed+6.0*
channel_statistics[i].mean*channel_statistics[i].mean*
channel_statistics[i].sum_squared-3.0*channel_statistics[i].mean*
channel_statistics[i].mean*1.0*channel_statistics[i].mean*
channel_statistics[i].mean)*(standard_deviation*standard_deviation*
standard_deviation*standard_deviation)-3.0;
}
channel_statistics[CompositeChannels].mean=0.0;
channel_statistics[CompositeChannels].standard_deviation=0.0;
for (i=0; i < (ssize_t) CompositeChannels; i++)
{
channel_statistics[CompositeChannels].mean+=
channel_statistics[i].mean;
channel_statistics[CompositeChannels].standard_deviation+=
channel_statistics[i].standard_deviation;
}
channel_statistics[CompositeChannels].mean/=(double) channels;
channel_statistics[CompositeChannels].standard_deviation/=(double) channels;
histogram=(MagickPixelPacket *) RelinquishMagickMemory(histogram);
if (y < (ssize_t) image->rows)
channel_statistics=(ChannelStatistics *) RelinquishMagickMemory(
channel_statistics);
return(channel_statistics);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% P o l y n o m i a l I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% PolynomialImage() returns a new image where each pixel is the sum of the
% pixels in the image sequence after applying its corresponding terms
% (coefficient and degree pairs).
%
% The format of the PolynomialImage method is:
%
% Image *PolynomialImage(const Image *images,const size_t number_terms,
% const double *terms,ExceptionInfo *exception)
% Image *PolynomialImageChannel(const Image *images,
% const size_t number_terms,const ChannelType channel,
% const double *terms,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o images: the image sequence.
%
% o channel: the channel.
%
% o number_terms: the number of terms in the list. The actual list length
% is 2 x number_terms + 1 (the constant).
%
% o terms: the list of polynomial coefficients and degree pairs and a
% constant.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *PolynomialImage(const Image *images,
const size_t number_terms,const double *terms,ExceptionInfo *exception)
{
Image
*polynomial_image;
polynomial_image=PolynomialImageChannel(images,DefaultChannels,number_terms,
terms,exception);
return(polynomial_image);
}
MagickExport Image *PolynomialImageChannel(const Image *images,
const ChannelType channel,const size_t number_terms,const double *terms,
ExceptionInfo *exception)
{
#define PolynomialImageTag "Polynomial/Image"
CacheView
*polynomial_view;
Image
*image;
MagickBooleanType
status;
MagickOffsetType
progress;
MagickPixelPacket
**magick_restrict polynomial_pixels,
zero;
ssize_t
y;
assert(images != (Image *) NULL);
assert(images->signature == MagickCoreSignature);
if (images->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",images->filename);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickCoreSignature);
image=AcquireImageCanvas(images,exception);
if (image == (Image *) NULL)
return((Image *) NULL);
if (SetImageStorageClass(image,DirectClass) == MagickFalse)
{
InheritException(exception,&image->exception);
image=DestroyImage(image);
return((Image *) NULL);
}
polynomial_pixels=AcquirePixelThreadSet(images);
if (polynomial_pixels == (MagickPixelPacket **) NULL)
{
image=DestroyImage(image);
(void) ThrowMagickException(exception,GetMagickModule(),
ResourceLimitError,"MemoryAllocationFailed","`%s'",images->filename);
return((Image *) NULL);
}
/*
Polynomial image pixels.
*/
status=MagickTrue;
progress=0;
GetMagickPixelPacket(images,&zero);
polynomial_view=AcquireAuthenticCacheView(image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(progress,status) \
magick_number_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
CacheView
*image_view;
const Image
*next;
const int
id = GetOpenMPThreadId();
register IndexPacket
*magick_restrict polynomial_indexes;
register MagickPixelPacket
*polynomial_pixel;
register PixelPacket
*magick_restrict q;
register ssize_t
i,
x;
size_t
number_images;
if (status == MagickFalse)
continue;
q=QueueCacheViewAuthenticPixels(polynomial_view,0,y,image->columns,1,
exception);
if (q == (PixelPacket *) NULL)
{
status=MagickFalse;
continue;
}
polynomial_indexes=GetCacheViewAuthenticIndexQueue(polynomial_view);
polynomial_pixel=polynomial_pixels[id];
for (x=0; x < (ssize_t) image->columns; x++)
polynomial_pixel[x]=zero;
next=images;
number_images=GetImageListLength(images);
for (i=0; i < (ssize_t) number_images; i++)
{
register const IndexPacket
*indexes;
register const PixelPacket
*p;
if (i >= (ssize_t) number_terms)
break;
image_view=AcquireVirtualCacheView(next,exception);
p=GetCacheViewVirtualPixels(image_view,0,y,image->columns,1,exception);
if (p == (const PixelPacket *) NULL)
{
image_view=DestroyCacheView(image_view);
break;
}
indexes=GetCacheViewVirtualIndexQueue(image_view);
for (x=0; x < (ssize_t) image->columns; x++)
{
double
coefficient,
degree;
coefficient=terms[i << 1];
degree=terms[(i << 1)+1];
if ((channel & RedChannel) != 0)
polynomial_pixel[x].red+=coefficient*pow(QuantumScale*p->red,degree);
if ((channel & GreenChannel) != 0)
polynomial_pixel[x].green+=coefficient*pow(QuantumScale*p->green,
degree);
if ((channel & BlueChannel) != 0)
polynomial_pixel[x].blue+=coefficient*pow(QuantumScale*p->blue,
degree);
if ((channel & OpacityChannel) != 0)
polynomial_pixel[x].opacity+=coefficient*pow(QuantumScale*
(QuantumRange-p->opacity),degree);
if (((channel & IndexChannel) != 0) &&
(image->colorspace == CMYKColorspace))
polynomial_pixel[x].index+=coefficient*pow(QuantumScale*indexes[x],
degree);
p++;
}
image_view=DestroyCacheView(image_view);
next=GetNextImageInList(next);
}
for (x=0; x < (ssize_t) image->columns; x++)
{
SetPixelRed(q,ClampToQuantum(QuantumRange*polynomial_pixel[x].red));
SetPixelGreen(q,ClampToQuantum(QuantumRange*polynomial_pixel[x].green));
SetPixelBlue(q,ClampToQuantum(QuantumRange*polynomial_pixel[x].blue));
if (image->matte == MagickFalse)
SetPixelOpacity(q,ClampToQuantum(QuantumRange-QuantumRange*
polynomial_pixel[x].opacity));
else
SetPixelAlpha(q,ClampToQuantum(QuantumRange-QuantumRange*
polynomial_pixel[x].opacity));
if (image->colorspace == CMYKColorspace)
SetPixelIndex(polynomial_indexes+x,ClampToQuantum(QuantumRange*
polynomial_pixel[x].index));
q++;
}
if (SyncCacheViewAuthenticPixels(polynomial_view,exception) == MagickFalse)
status=MagickFalse;
if (images->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
proceed=SetImageProgress(images,PolynomialImageTag,progress++,
image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
polynomial_view=DestroyCacheView(polynomial_view);
polynomial_pixels=DestroyPixelThreadSet(images,polynomial_pixels);
if (status == MagickFalse)
image=DestroyImage(image);
return(image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S t a t i s t i c I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% StatisticImage() makes each pixel the min / max / median / mode / etc. of
% the neighborhood of the specified width and height.
%
% The format of the StatisticImage method is:
%
% Image *StatisticImage(const Image *image,const StatisticType type,
% const size_t width,const size_t height,ExceptionInfo *exception)
% Image *StatisticImageChannel(const Image *image,
% const ChannelType channel,const StatisticType type,
% const size_t width,const size_t height,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o channel: the image channel.
%
% o type: the statistic type (median, mode, etc.).
%
% o width: the width of the pixel neighborhood.
%
% o height: the height of the pixel neighborhood.
%
% o exception: return any errors or warnings in this structure.
%
*/
#define ListChannels 5
typedef struct _ListNode
{
size_t
next[9],
count,
signature;
} ListNode;
typedef struct _SkipList
{
ssize_t
level;
ListNode
*nodes;
} SkipList;
typedef struct _PixelList
{
size_t
length,
seed,
signature;
SkipList
lists[ListChannels];
} PixelList;
static PixelList *DestroyPixelList(PixelList *pixel_list)
{
register ssize_t
i;
if (pixel_list == (PixelList *) NULL)
return((PixelList *) NULL);
for (i=0; i < ListChannels; i++)
if (pixel_list->lists[i].nodes != (ListNode *) NULL)
pixel_list->lists[i].nodes=(ListNode *) RelinquishAlignedMemory(
pixel_list->lists[i].nodes);
pixel_list=(PixelList *) RelinquishMagickMemory(pixel_list);
return(pixel_list);
}
static PixelList **DestroyPixelListThreadSet(PixelList **pixel_list)
{
register ssize_t
i;
assert(pixel_list != (PixelList **) NULL);
for (i=0; i < (ssize_t) GetMagickResourceLimit(ThreadResource); i++)
if (pixel_list[i] != (PixelList *) NULL)
pixel_list[i]=DestroyPixelList(pixel_list[i]);
pixel_list=(PixelList **) RelinquishMagickMemory(pixel_list);
return(pixel_list);
}
static PixelList *AcquirePixelList(const size_t width,const size_t height)
{
PixelList
*pixel_list;
register ssize_t
i;
pixel_list=(PixelList *) AcquireMagickMemory(sizeof(*pixel_list));
if (pixel_list == (PixelList *) NULL)
return(pixel_list);
(void) memset((void *) pixel_list,0,sizeof(*pixel_list));
pixel_list->length=width*height;
for (i=0; i < ListChannels; i++)
{
pixel_list->lists[i].nodes=(ListNode *) AcquireAlignedMemory(65537UL,
sizeof(*pixel_list->lists[i].nodes));
if (pixel_list->lists[i].nodes == (ListNode *) NULL)
return(DestroyPixelList(pixel_list));
(void) memset(pixel_list->lists[i].nodes,0,65537UL*
sizeof(*pixel_list->lists[i].nodes));
}
pixel_list->signature=MagickCoreSignature;
return(pixel_list);
}
static PixelList **AcquirePixelListThreadSet(const size_t width,
const size_t height)
{
PixelList
**pixel_list;
register ssize_t
i;
size_t
number_threads;
number_threads=(size_t) GetMagickResourceLimit(ThreadResource);
pixel_list=(PixelList **) AcquireQuantumMemory(number_threads,
sizeof(*pixel_list));
if (pixel_list == (PixelList **) NULL)
return((PixelList **) NULL);
(void) memset(pixel_list,0,number_threads*sizeof(*pixel_list));
for (i=0; i < (ssize_t) number_threads; i++)
{
pixel_list[i]=AcquirePixelList(width,height);
if (pixel_list[i] == (PixelList *) NULL)
return(DestroyPixelListThreadSet(pixel_list));
}
return(pixel_list);
}
static void AddNodePixelList(PixelList *pixel_list,const ssize_t channel,
const size_t color)
{
register SkipList
*list;
register ssize_t
level;
size_t
search,
update[9];
/*
Initialize the node.
*/
list=pixel_list->lists+channel;
list->nodes[color].signature=pixel_list->signature;
list->nodes[color].count=1;
/*
Determine where it belongs in the list.
*/
search=65536UL;
for (level=list->level; level >= 0; level--)
{
while (list->nodes[search].next[level] < color)
search=list->nodes[search].next[level];
update[level]=search;
}
/*
Generate a pseudo-random level for this node.
*/
for (level=0; ; level++)
{
pixel_list->seed=(pixel_list->seed*42893621L)+1L;
if ((pixel_list->seed & 0x300) != 0x300)
break;
}
if (level > 8)
level=8;
if (level > (list->level+2))
level=list->level+2;
/*
If we're raising the list's level, link back to the root node.
*/
while (level > list->level)
{
list->level++;
update[list->level]=65536UL;
}
/*
Link the node into the skip-list.
*/
do
{
list->nodes[color].next[level]=list->nodes[update[level]].next[level];
list->nodes[update[level]].next[level]=color;
} while (level-- > 0);
}
static void GetMaximumPixelList(PixelList *pixel_list,MagickPixelPacket *pixel)
{
register SkipList
*list;
register ssize_t
channel;
size_t
color,
maximum;
ssize_t
count;
unsigned short
channels[ListChannels];
/*
Find the maximum value for each of the color.
*/
for (channel=0; channel < 5; channel++)
{
list=pixel_list->lists+channel;
color=65536L;
count=0;
maximum=list->nodes[color].next[0];
do
{
color=list->nodes[color].next[0];
if (color > maximum)
maximum=color;
count+=list->nodes[color].count;
} while (count < (ssize_t) pixel_list->length);
channels[channel]=(unsigned short) maximum;
}
pixel->red=(MagickRealType) ScaleShortToQuantum(channels[0]);
pixel->green=(MagickRealType) ScaleShortToQuantum(channels[1]);
pixel->blue=(MagickRealType) ScaleShortToQuantum(channels[2]);
pixel->opacity=(MagickRealType) ScaleShortToQuantum(channels[3]);
pixel->index=(MagickRealType) ScaleShortToQuantum(channels[4]);
}
static void GetMeanPixelList(PixelList *pixel_list,MagickPixelPacket *pixel)
{
MagickRealType
sum;
register SkipList
*list;
register ssize_t
channel;
size_t
color;
ssize_t
count;
unsigned short
channels[ListChannels];
/*
Find the mean value for each of the color.
*/
for (channel=0; channel < 5; channel++)
{
list=pixel_list->lists+channel;
color=65536L;
count=0;
sum=0.0;
do
{
color=list->nodes[color].next[0];
sum+=(MagickRealType) list->nodes[color].count*color;
count+=list->nodes[color].count;
} while (count < (ssize_t) pixel_list->length);
sum/=pixel_list->length;
channels[channel]=(unsigned short) sum;
}
pixel->red=(MagickRealType) ScaleShortToQuantum(channels[0]);
pixel->green=(MagickRealType) ScaleShortToQuantum(channels[1]);
pixel->blue=(MagickRealType) ScaleShortToQuantum(channels[2]);
pixel->opacity=(MagickRealType) ScaleShortToQuantum(channels[3]);
pixel->index=(MagickRealType) ScaleShortToQuantum(channels[4]);
}
static void GetMedianPixelList(PixelList *pixel_list,MagickPixelPacket *pixel)
{
register SkipList
*list;
register ssize_t
channel;
size_t
color;
ssize_t
count;
unsigned short
channels[ListChannels];
/*
Find the median value for each of the color.
*/
for (channel=0; channel < 5; channel++)
{
list=pixel_list->lists+channel;
color=65536L;
count=0;
do
{
color=list->nodes[color].next[0];
count+=list->nodes[color].count;
} while (count <= (ssize_t) (pixel_list->length >> 1));
channels[channel]=(unsigned short) color;
}
GetMagickPixelPacket((const Image *) NULL,pixel);
pixel->red=(MagickRealType) ScaleShortToQuantum(channels[0]);
pixel->green=(MagickRealType) ScaleShortToQuantum(channels[1]);
pixel->blue=(MagickRealType) ScaleShortToQuantum(channels[2]);
pixel->opacity=(MagickRealType) ScaleShortToQuantum(channels[3]);
pixel->index=(MagickRealType) ScaleShortToQuantum(channels[4]);
}
static void GetMinimumPixelList(PixelList *pixel_list,MagickPixelPacket *pixel)
{
register SkipList
*list;
register ssize_t
channel;
size_t
color,
minimum;
ssize_t
count;
unsigned short
channels[ListChannels];
/*
Find the minimum value for each of the color.
*/
for (channel=0; channel < 5; channel++)
{
list=pixel_list->lists+channel;
count=0;
color=65536UL;
minimum=list->nodes[color].next[0];
do
{
color=list->nodes[color].next[0];
if (color < minimum)
minimum=color;
count+=list->nodes[color].count;
} while (count < (ssize_t) pixel_list->length);
channels[channel]=(unsigned short) minimum;
}
pixel->red=(MagickRealType) ScaleShortToQuantum(channels[0]);
pixel->green=(MagickRealType) ScaleShortToQuantum(channels[1]);
pixel->blue=(MagickRealType) ScaleShortToQuantum(channels[2]);
pixel->opacity=(MagickRealType) ScaleShortToQuantum(channels[3]);
pixel->index=(MagickRealType) ScaleShortToQuantum(channels[4]);
}
static void GetModePixelList(PixelList *pixel_list,MagickPixelPacket *pixel)
{
register SkipList
*list;
register ssize_t
channel;
size_t
color,
max_count,
mode;
ssize_t
count;
unsigned short
channels[5];
/*
Make each pixel the 'predominant color' of the specified neighborhood.
*/
for (channel=0; channel < 5; channel++)
{
list=pixel_list->lists+channel;
color=65536L;
mode=color;
max_count=list->nodes[mode].count;
count=0;
do
{
color=list->nodes[color].next[0];
if (list->nodes[color].count > max_count)
{
mode=color;
max_count=list->nodes[mode].count;
}
count+=list->nodes[color].count;
} while (count < (ssize_t) pixel_list->length);
channels[channel]=(unsigned short) mode;
}
pixel->red=(MagickRealType) ScaleShortToQuantum(channels[0]);
pixel->green=(MagickRealType) ScaleShortToQuantum(channels[1]);
pixel->blue=(MagickRealType) ScaleShortToQuantum(channels[2]);
pixel->opacity=(MagickRealType) ScaleShortToQuantum(channels[3]);
pixel->index=(MagickRealType) ScaleShortToQuantum(channels[4]);
}
static void GetNonpeakPixelList(PixelList *pixel_list,MagickPixelPacket *pixel)
{
register SkipList
*list;
register ssize_t
channel;
size_t
color,
next,
previous;
ssize_t
count;
unsigned short
channels[5];
/*
Finds the non peak value for each of the colors.
*/
for (channel=0; channel < 5; channel++)
{
list=pixel_list->lists+channel;
color=65536L;
next=list->nodes[color].next[0];
count=0;
do
{
previous=color;
color=next;
next=list->nodes[color].next[0];
count+=list->nodes[color].count;
} while (count <= (ssize_t) (pixel_list->length >> 1));
if ((previous == 65536UL) && (next != 65536UL))
color=next;
else
if ((previous != 65536UL) && (next == 65536UL))
color=previous;
channels[channel]=(unsigned short) color;
}
pixel->red=(MagickRealType) ScaleShortToQuantum(channels[0]);
pixel->green=(MagickRealType) ScaleShortToQuantum(channels[1]);
pixel->blue=(MagickRealType) ScaleShortToQuantum(channels[2]);
pixel->opacity=(MagickRealType) ScaleShortToQuantum(channels[3]);
pixel->index=(MagickRealType) ScaleShortToQuantum(channels[4]);
}
static void GetRootMeanSquarePixelList(PixelList *pixel_list,
MagickPixelPacket *pixel)
{
MagickRealType
sum;
register SkipList
*list;
register ssize_t
channel;
size_t
color;
ssize_t
count;
unsigned short
channels[ListChannels];
/*
Find the root mean square value for each of the color.
*/
for (channel=0; channel < 5; channel++)
{
list=pixel_list->lists+channel;
color=65536L;
count=0;
sum=0.0;
do
{
color=list->nodes[color].next[0];
sum+=(MagickRealType) (list->nodes[color].count*color*color);
count+=list->nodes[color].count;
} while (count < (ssize_t) pixel_list->length);
sum/=pixel_list->length;
channels[channel]=(unsigned short) sqrt(sum);
}
pixel->red=(MagickRealType) ScaleShortToQuantum(channels[0]);
pixel->green=(MagickRealType) ScaleShortToQuantum(channels[1]);
pixel->blue=(MagickRealType) ScaleShortToQuantum(channels[2]);
pixel->opacity=(MagickRealType) ScaleShortToQuantum(channels[3]);
pixel->index=(MagickRealType) ScaleShortToQuantum(channels[4]);
}
static void GetStandardDeviationPixelList(PixelList *pixel_list,
MagickPixelPacket *pixel)
{
MagickRealType
sum,
sum_squared;
register SkipList
*list;
register ssize_t
channel;
size_t
color;
ssize_t
count;
unsigned short
channels[ListChannels];
/*
Find the standard-deviation value for each of the color.
*/
for (channel=0; channel < 5; channel++)
{
list=pixel_list->lists+channel;
color=65536L;
count=0;
sum=0.0;
sum_squared=0.0;
do
{
register ssize_t
i;
color=list->nodes[color].next[0];
sum+=(MagickRealType) list->nodes[color].count*color;
for (i=0; i < (ssize_t) list->nodes[color].count; i++)
sum_squared+=((MagickRealType) color)*((MagickRealType) color);
count+=list->nodes[color].count;
} while (count < (ssize_t) pixel_list->length);
sum/=pixel_list->length;
sum_squared/=pixel_list->length;
channels[channel]=(unsigned short) sqrt(sum_squared-(sum*sum));
}
pixel->red=(MagickRealType) ScaleShortToQuantum(channels[0]);
pixel->green=(MagickRealType) ScaleShortToQuantum(channels[1]);
pixel->blue=(MagickRealType) ScaleShortToQuantum(channels[2]);
pixel->opacity=(MagickRealType) ScaleShortToQuantum(channels[3]);
pixel->index=(MagickRealType) ScaleShortToQuantum(channels[4]);
}
static inline void InsertPixelList(const Image *image,const PixelPacket *pixel,
const IndexPacket *indexes,PixelList *pixel_list)
{
size_t
signature;
unsigned short
index;
index=ScaleQuantumToShort(GetPixelRed(pixel));
signature=pixel_list->lists[0].nodes[index].signature;
if (signature == pixel_list->signature)
pixel_list->lists[0].nodes[index].count++;
else
AddNodePixelList(pixel_list,0,index);
index=ScaleQuantumToShort(GetPixelGreen(pixel));
signature=pixel_list->lists[1].nodes[index].signature;
if (signature == pixel_list->signature)
pixel_list->lists[1].nodes[index].count++;
else
AddNodePixelList(pixel_list,1,index);
index=ScaleQuantumToShort(GetPixelBlue(pixel));
signature=pixel_list->lists[2].nodes[index].signature;
if (signature == pixel_list->signature)
pixel_list->lists[2].nodes[index].count++;
else
AddNodePixelList(pixel_list,2,index);
index=ScaleQuantumToShort(GetPixelOpacity(pixel));
signature=pixel_list->lists[3].nodes[index].signature;
if (signature == pixel_list->signature)
pixel_list->lists[3].nodes[index].count++;
else
AddNodePixelList(pixel_list,3,index);
if (image->colorspace == CMYKColorspace)
index=ScaleQuantumToShort(GetPixelIndex(indexes));
signature=pixel_list->lists[4].nodes[index].signature;
if (signature == pixel_list->signature)
pixel_list->lists[4].nodes[index].count++;
else
AddNodePixelList(pixel_list,4,index);
}
static void ResetPixelList(PixelList *pixel_list)
{
int
level;
register ListNode
*root;
register SkipList
*list;
register ssize_t
channel;
/*
Reset the skip-list.
*/
for (channel=0; channel < 5; channel++)
{
list=pixel_list->lists+channel;
root=list->nodes+65536UL;
list->level=0;
for (level=0; level < 9; level++)
root->next[level]=65536UL;
}
pixel_list->seed=pixel_list->signature++;
}
MagickExport Image *StatisticImage(const Image *image,const StatisticType type,
const size_t width,const size_t height,ExceptionInfo *exception)
{
Image
*statistic_image;
statistic_image=StatisticImageChannel(image,DefaultChannels,type,width,
height,exception);
return(statistic_image);
}
MagickExport Image *StatisticImageChannel(const Image *image,
const ChannelType channel,const StatisticType type,const size_t width,
const size_t height,ExceptionInfo *exception)
{
#define StatisticImageTag "Statistic/Image"
CacheView
*image_view,
*statistic_view;
Image
*statistic_image;
MagickBooleanType
status;
MagickOffsetType
progress;
PixelList
**magick_restrict pixel_list;
size_t
neighbor_height,
neighbor_width;
ssize_t
y;
/*
Initialize statistics image attributes.
*/
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickCoreSignature);
statistic_image=CloneImage(image,0,0,MagickTrue,exception);
if (statistic_image == (Image *) NULL)
return((Image *) NULL);
if (SetImageStorageClass(statistic_image,DirectClass) == MagickFalse)
{
InheritException(exception,&statistic_image->exception);
statistic_image=DestroyImage(statistic_image);
return((Image *) NULL);
}
neighbor_width=width == 0 ? GetOptimalKernelWidth2D((double) width,0.5) :
width;
neighbor_height=height == 0 ? GetOptimalKernelWidth2D((double) height,0.5) :
height;
pixel_list=AcquirePixelListThreadSet(neighbor_width,neighbor_height);
if (pixel_list == (PixelList **) NULL)
{
statistic_image=DestroyImage(statistic_image);
ThrowImageException(ResourceLimitError,"MemoryAllocationFailed");
}
/*
Make each pixel the min / max / median / mode / etc. of the neighborhood.
*/
status=MagickTrue;
progress=0;
image_view=AcquireVirtualCacheView(image,exception);
statistic_view=AcquireAuthenticCacheView(statistic_image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(progress,status) \
magick_number_threads(image,statistic_image,statistic_image->rows,1)
#endif
for (y=0; y < (ssize_t) statistic_image->rows; y++)
{
const int
id = GetOpenMPThreadId();
register const IndexPacket
*magick_restrict indexes;
register const PixelPacket
*magick_restrict p;
register IndexPacket
*magick_restrict statistic_indexes;
register PixelPacket
*magick_restrict q;
register ssize_t
x;
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(image_view,-((ssize_t) neighbor_width/2L),y-
(ssize_t) (neighbor_height/2L),image->columns+neighbor_width,
neighbor_height,exception);
q=QueueCacheViewAuthenticPixels(statistic_view,0,y,statistic_image->columns, 1,exception);
if ((p == (const PixelPacket *) NULL) || (q == (PixelPacket *) NULL))
{
status=MagickFalse;
continue;
}
indexes=GetCacheViewVirtualIndexQueue(image_view);
statistic_indexes=GetCacheViewAuthenticIndexQueue(statistic_view);
for (x=0; x < (ssize_t) statistic_image->columns; x++)
{
MagickPixelPacket
pixel;
register const IndexPacket
*magick_restrict s;
register const PixelPacket
*magick_restrict r;
register ssize_t
u,
v;
r=p;
s=indexes+x;
ResetPixelList(pixel_list[id]);
for (v=0; v < (ssize_t) neighbor_height; v++)
{
for (u=0; u < (ssize_t) neighbor_width; u++)
InsertPixelList(image,r+u,s+u,pixel_list[id]);
r+=image->columns+neighbor_width;
s+=image->columns+neighbor_width;
}
GetMagickPixelPacket(image,&pixel);
SetMagickPixelPacket(image,p+neighbor_width*neighbor_height/2,indexes+x+
neighbor_width*neighbor_height/2,&pixel);
switch (type)
{
case GradientStatistic:
{
MagickPixelPacket
maximum,
minimum;
GetMinimumPixelList(pixel_list[id],&pixel);
minimum=pixel;
GetMaximumPixelList(pixel_list[id],&pixel);
maximum=pixel;
pixel.red=MagickAbsoluteValue(maximum.red-minimum.red);
pixel.green=MagickAbsoluteValue(maximum.green-minimum.green);
pixel.blue=MagickAbsoluteValue(maximum.blue-minimum.blue);
pixel.opacity=MagickAbsoluteValue(maximum.opacity-minimum.opacity);
if (image->colorspace == CMYKColorspace)
pixel.index=MagickAbsoluteValue(maximum.index-minimum.index);
break;
}
case MaximumStatistic:
{
GetMaximumPixelList(pixel_list[id],&pixel);
break;
}
case MeanStatistic:
{
GetMeanPixelList(pixel_list[id],&pixel);
break;
}
case MedianStatistic:
default:
{
GetMedianPixelList(pixel_list[id],&pixel);
break;
}
case MinimumStatistic:
{
GetMinimumPixelList(pixel_list[id],&pixel);
break;
}
case ModeStatistic:
{
GetModePixelList(pixel_list[id],&pixel);
break;
}
case NonpeakStatistic:
{
GetNonpeakPixelList(pixel_list[id],&pixel);
break;
}
case RootMeanSquareStatistic:
{
GetRootMeanSquarePixelList(pixel_list[id],&pixel);
break;
}
case StandardDeviationStatistic:
{
GetStandardDeviationPixelList(pixel_list[id],&pixel);
break;
}
}
if ((channel & RedChannel) != 0)
SetPixelRed(q,ClampToQuantum(pixel.red));
if ((channel & GreenChannel) != 0)
SetPixelGreen(q,ClampToQuantum(pixel.green));
if ((channel & BlueChannel) != 0)
SetPixelBlue(q,ClampToQuantum(pixel.blue));
if ((channel & OpacityChannel) != 0)
SetPixelOpacity(q,ClampToQuantum(pixel.opacity));
if (((channel & IndexChannel) != 0) &&
(image->colorspace == CMYKColorspace))
SetPixelIndex(statistic_indexes+x,ClampToQuantum(pixel.index));
p++;
q++;
}
if (SyncCacheViewAuthenticPixels(statistic_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
proceed=SetImageProgress(image,StatisticImageTag,progress++,
image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
statistic_view=DestroyCacheView(statistic_view);
image_view=DestroyCacheView(image_view);
pixel_list=DestroyPixelListThreadSet(pixel_list);
if (status == MagickFalse)
statistic_image=DestroyImage(statistic_image);
return(statistic_image);
}
|
DemBones.h | ///////////////////////////////////////////////////////////////////////////////
// Dem Bones - Skinning Decomposition Library //
// Copyright (c) 2019, Electronic Arts. All rights reserved. //
///////////////////////////////////////////////////////////////////////////////
#ifndef DEM_BONES_DEM_BONES
#define DEM_BONES_DEM_BONES
#include <Eigen/Dense>
#include <Eigen/Sparse>
#include <Eigen/StdVector>
#include <algorithm>
#include <queue>
#include "ConvexLS.h"
#ifndef DEM_BONES_MAT_BLOCKS
#include "MatBlocks.h"
#define DEM_BONES_DEM_BONES_MAT_BLOCKS_UNDEFINED
#endif
namespace Dem
{
/** @mainpage Overview
Main elements:
- @ref DemBones : base class with the core solver using relative bone transformations DemBones::m
- @ref DemBonesExt : extended class to handle hierarchical skeleton with local rotations/translations and bind matrices
- DemBones/MatBlocks.h: macros to access sub-blocks of packing transformation/position matrices for convenience
Include DemBones/DemBonesExt.h (or DemBones/DemBones.h) with optional DemBones/MatBlocks.h then follow these steps to use the library:
-# Load required data in the base class:
- Rest shapes: DemBones::u, DemBones::fv, DemBones::nV
- Sequence: DemBones::v, DemBones::nF, DemBones::fStart, DemBones::subjectID, DemBones::nS
- Number of bones: DemBones::nB
-# Load optional data in the base class:
- Skinning weights: DemBones::w
- Bone transformations: DemBones::m
-# [@c optional] Set parameters in the base class:
- DemBones::nIters
- DemBones::nInitIters
- DemBones::nTransIters, DemBones::transAffine, DemBones::transAffineNorm
- DemBones::nWeightsIters, DemBones::nnz, DemBones::weightsSmooth, DemBones::weightsSmoothStep, DemBones::weightEps
-# [@c optional] Setup extended class:
- Load data: DemBonesExt::parent, DemBonesExt::preMulInv, DemBonesExt::rotOrder, DemBonesExt::bind
- Set paramter: DemBonesExt::bindUpdate
-# [@c optional] Override callback functions (cb...) in the base class @ref DemBones
-# Call decomposition function DemBones::compute(), DemBones::computeWeights(), DemBones::computeTranformations(), or DemBones::init()
-# [@c optional] Get local transformations/bind poses with DemBonesExt::computeRTB()
*/
/** @class DemBones DemBones.h "DemBones/DemBones.h"
@brief Smooth skinning decomposition with rigid bones and sparse, convex weights
@details Setup the required data, parameters, and call either compute(), computeWeights(), computeTranformations(), or init().
Callback functions and read-only values can be used to report progress: cbInitSplitBegin(), cbInitSplitEnd(),
cbIterBegin(), cbIterEnd(), cbWeightsBegin(), cbWeightsEnd(), cbTranformationsBegin(), cbTransformationsEnd(), cbTransformationsIterBegin(),
cbTransformationsIterEnd(), cbWeightsIterBegin(), cbWeightsIterEnd(), rmse(), #iter, #iterTransformations, #iterWeights.
@b _Scalar is the floating-point data type. @b _AniMeshScalar is the floating-point data type of mesh sequence #v.
*/
template<class _Scalar, class _AniMeshScalar>
class DemBones {
public:
EIGEN_MAKE_ALIGNED_OPERATOR_NEW
using MatrixX=Eigen::Matrix<_Scalar, Eigen::Dynamic, Eigen::Dynamic>;
using Matrix4=Eigen::Matrix<_Scalar, 4, 4>;
using Matrix3=Eigen::Matrix<_Scalar, 3, 3>;
using VectorX=Eigen::Matrix<_Scalar, Eigen::Dynamic, 1>;
using Vector4=Eigen::Matrix<_Scalar, 4, 1>;
using Vector3=Eigen::Matrix<_Scalar, 3, 1>;
using SparseMatrix=Eigen::SparseMatrix<_Scalar>;
using Triplet=Eigen::Triplet<_Scalar>;
//! [@c parameter] Number of global iterations, @c default = 30
int nIters;
//! [@c parameter] Number of clustering update iterations in the initalization, @c default = 10
int nInitIters;
//! [@c parameter] Number of bone transformations update iterations per global iteration, @c default = 5
int nTransIters;
//! [@c parameter] Translations affinity soft constraint, @c default = 10.0
_Scalar transAffine;
//! [@c parameter] p-norm for bone translations affinity soft constraint, @c default = 4.0
_Scalar transAffineNorm;
//! [@c parameter] Number of weights update iterations per global iteration, @c default = 3
int nWeightsIters;
//! [@c parameter] Number of non-zero weights per vertex, @c default = 8
int nnz;
//! [@c parameter] Weights smoothness soft constraint, @c default = 1e-4
_Scalar weightsSmooth;
//! [@c parameter] Step size for the weights smoothness soft constraint, @c default = 1.0
_Scalar weightsSmoothStep;
//! [@c parameter] Epsilon for weights solver, @c default = 1e-15
_Scalar weightEps;
/** @brief Constructor and setting default parameters
*/
DemBones(): nIters(30), nInitIters(10),
nTransIters(5), transAffine(_Scalar(10)), transAffineNorm(_Scalar(4)),
nWeightsIters(3), nnz(8), weightsSmooth(_Scalar(1e-4)), weightsSmoothStep(_Scalar(1)),
weightEps(_Scalar(1e-15)),
iter(_iter), iterTransformations(_iterTransformations), iterWeights(_iterWeights) {
clear();
}
//! Number of vertices, typically indexed by @p i
int nV;
//! Number of bones, typically indexed by @p j
int nB;
//! Number of subjects, typically indexed by @p s
int nS;
//! Number of total frames, typically indexed by @p k, #nF = #fStart(#nS)
int nF;
//! Start frame indices, @c size = #nS+1, #fStart(@p s), #fStart(@p s+1) are data frames for subject @p s
Eigen::VectorXi fStart;
//! Subject index of the frame, @c size = #nF, #subjectID(@p k)=@p s, where #fStart(@p s) <= @p k < #fStart(<tt>s</tt>+1)
Eigen::VectorXi subjectID;
//! Geometry at the rest poses, @c size = [3*#nS, #nV], #u.@a col(@p i).@a segment(3*@p s, 3) is the rest pose of vertex @p i of subject @p s
MatrixX u;
//! Skinning weights, @c size = [#nB, #nV], #w.@a col(@p i) are the skinning weights of vertex @p i, #w(@p j, @p i) is the influence of bone @p j to vertex @p i
SparseMatrix w;
/** @brief Bone transformations, @c size = [4*#nF*4, 4*#nB], #m.@a blk4(@p k, @p j) is the 4*4 relative transformation matrix of bone @p j at frame @p k
@details Note that the transformations are relative, that is #m.@a blk4(@p k, @p j) brings the global transformation of bone @p j from the rest pose to the pose at frame @p k.
*/
MatrixX m;
//! Animated mesh sequence, @c size = [3*#nF, #nV], #v.@a col(@p i).@a segment(3*@p k, 3) is the position of vertex @p i at frame @p k
Eigen::Matrix<_AniMeshScalar, Eigen::Dynamic, Eigen::Dynamic> v;
//! Mesh topology, @c size=[<tt>number of polygons</tt>], #fv[@p p] is the vector of vertex indices of polygon @p p
std::vector<std::vector<int>> fv;
//! [<tt>zero indexed</tt>, <tt>read only</tt>] Current global iteration number that can be used for callback functions
const int& iter;
//! [<tt>zero indexed</tt>, <tt>read only</tt>] Current bone transformations update iteration number that can be used for callback functions
const int& iterTransformations;
//! [<tt>zero indexed</tt>, <tt>read only</tt>] Current weights update iteration number that can be used for callback functions
const int& iterWeights;
/** Clear all data
*/
void clear() {
nV=nB=nS=nF=0;
fStart.resize(0);
subjectID.resize(0);
u.resize(0, 0);
w.resize(0, 0);
m.resize(0, 0);
v.resize(0, 0);
fv.resize(0);
modelSize=-1;
laplacian.resize(0, 0);
}
/** @brief Initialize missing skinning weights and/or bone transformations
@details Depending on the status of #w and #m, this function will:
- Both #w and #m are already set: do nothing
- Only one in #w or #m is missing (zero size): initialize missing matrix, i.e. #w (or #m)
- Both #w and #m are missing (zero size): initialize both with rigid skinning using approximately #nB bones, i.e. values of #w are 0 or 1.
LBG-VQ clustering is peformed using mesh sequence #v, rest pose geometries #u and topology #fv.
@b Note: as the initialization does not use exactly #nB bones, the value of #nB could be changed when both #w and #m are missing.
This function is called at the begining of every compute update functions as a safeguard.
*/
void init() {
if (modelSize<0) modelSize=sqrt((u-(u.rowwise().sum()/nV).replicate(1, nV)).squaredNorm()/nV/nS);
if (laplacian.cols()!=nV) computeSmoothSolver();
if (((int)w.rows()!=nB)||((int)w.cols()!=nV)) { //No skinning weight
if (((int)m.rows()!=nF*4)||((int)m.cols()!=nB*4)) { //No transformation
int targetNB=nB;
//LBG-VQ
nB=1;
label=Eigen::VectorXi::Zero(nV);
computeTransFromLabel();
bool cont=true;
while (cont) {
cbInitSplitBegin();
split(targetNB, nnz);
cont=(nB<targetNB);
for (int rep=0; rep<nInitIters; rep++) {
computeTransFromLabel();
computeLabel();
pruneBones(nnz);
}
cbInitSplitEnd();
}
m.conservativeResize(nF*4, nB*4);
labelToWeights();
} else initWeights(); //Has transformations
} else { //Has skinning weights
if (((int)m.rows()!=nF*4)||((int)m.cols()!=nB*4)) { //No transformation
m=Matrix4::Identity().replicate(nF, nB);
}
}
}
/** @brief Update bone transformations by running #nTransIters iterations with #transAffine and #transAffineNorm regularizers
@details Required input data:
- Rest shapes: #u, #fv, #nV
- Sequence: #v, #nF, #fStart, #subjectID, #nS
- Number of bones: #nB
Optional input data:
- Skinning weights: #w
- Bone transformations: #m
Output: #m. Missing #w and/or #m (with zero size) will be initialized by init().
*/
void computeTranformations() {
if (nTransIters==0) return;
init();
cbTranformationsBegin();
compute_vuT();
compute_uuT();
for (_iterTransformations=0; _iterTransformations<nTransIters; _iterTransformations++) {
cbTransformationsIterBegin();
#pragma omp parallel for
for (int k=0; k<nF; k++)
for (int j=0; j<nB; j++) {
Matrix4 qpT=vuT.blk4(k, j);
for (int it=uuT.outerIdx(j); it<uuT.outerIdx(j + 1); it++)
if (uuT.innerIdx(it)!=j) qpT-=m.blk4(k, uuT.innerIdx(it))*uuT.val.blk4(subjectID(k), it);
qpT2m(qpT, k, j);
}
cbTransformationsIterEnd();
}
cbTransformationsEnd();
}
/** @brief Update skinning weights by running #nWeightsIters iterations with #weightsSmooth and #weightsSmoothStep regularizers
@details Required input data:
- Rest shapes: #u, #fv, #nV
- Sequence: #v, #nF, #fStart, #subjectID, #nS
- Number of bones: #nB
Optional input data:
- Skinning weights: #w
- Bone transformations: #m
Output: #w. Missing #w and/or #m (with zero size) will be initialized by init().
*/
void computeWeights() {
if (nWeightsIters==0) return;
init();
cbWeightsBegin();
compute_mTm();
aTb=MatrixX::Zero(nB, nV);
wSolver.init(nnz);
std::vector<Triplet, Eigen::aligned_allocator<Triplet>> trip;
trip.reserve(nV*nnz);
for (_iterWeights=0; _iterWeights<nWeightsIters; _iterWeights++) {
cbWeightsIterBegin();
compute_ws();
compute_aTb();
double reg=pow(modelSize, 2)*nF*weightsSmooth;
trip.clear();
#pragma omp parallel for
for (int i=0; i<nV; i++) {
MatrixX aTai;
compute_aTa(i, aTai);
aTai+=reg*MatrixX::Identity(nB, nB);
VectorX aTbi=aTb.col(i)+reg*ws.col(i);
VectorX x=ws.col(i);
Eigen::ArrayXi idx=Eigen::ArrayXi::LinSpaced(nB, 0, nB-1);
std::sort(idx.data(), idx.data()+nB, [&x](int i1, int i2) { return x(i1)>x(i2); });
int nnzi=std::min(nnz, nB);
while (x(idx(nnzi-1))<weightEps) nnzi--;
x=indexing_vector(w.col(i).toDense().cwiseMax(0.0), idx.head(nnzi));
_Scalar s=x.sum();
if (s>_Scalar(0.1)) x/=s; else x=VectorX::Constant(nnzi, _Scalar(1)/nnzi);
wSolver.solve(indexing_row_col(aTai, idx.head(nnzi), idx.head(nnzi)), indexing_vector(aTbi, idx.head(nnzi)), x, true, true);
#pragma omp critical
for (int j=0; j<nnzi; j++)
if (x(j)!=0) trip.push_back(Triplet(idx[j], i, x(j)));
}
w.resize(nB, nV);
w.setFromTriplets(trip.begin(), trip.end());
cbWeightsIterEnd();
}
cbWeightsEnd();
}
/** @brief Skinning decomposition by #nIters iterations of alternative updating weights and bone transformations
@details Required input data:
- Rest shapes: #u, #fv, #nV
- Sequence: #v, #nF, #fStart, #subjectID, #nS
- Number of bones: #nB
Optional input data:
- Skinning weights: #w
- Bone transformations: #m
Output: #w, #m. Missing #w and/or #m (with zero size) will be initialized by init().
*/
void compute() {
init();
for (_iter=0; _iter<nIters; _iter++) {
cbIterBegin();
computeTranformations();
computeWeights();
cbIterEnd();
}
}
//! @return Root mean squared reconstruction error
_Scalar rmse() {
_Scalar e=0;
#pragma omp parallel for
for (int i=0; i<nV; i++) {
_Scalar ei = 0;
Matrix4 mki;
for (int k=0; k<nF; k++) {
mki.setZero();
for (typename SparseMatrix::InnerIterator it(w, i); it; ++it) mki+=it.value()*m.blk4(k, it.row());
ei+=(mki.template topLeftCorner<3, 3>()*u.vec3(subjectID(k), i)+mki.template topRightCorner<3, 1>()-v.vec3(k, i).template cast<_Scalar>()).squaredNorm();
}
#pragma omp atomic
e+=ei;
}
return std::sqrt(e/nF/nV);
}
//! Callback function invoked before each spliting of bone clusters in initialization
virtual void cbInitSplitBegin() {}
//! Callback function invoked after each spliting of bone clusters in initialization
virtual void cbInitSplitEnd() {}
//! Callback function invoked before each global iteration update
virtual void cbIterBegin() {}
//! Callback function invoked after each global iteration update
virtual void cbIterEnd() {}
//! Callback function invoked before each skinning weights update
virtual void cbWeightsBegin() {}
//! Callback function invoked after each skinning weights update
virtual void cbWeightsEnd() {}
//! Callback function invoked before each bone transformations update
virtual void cbTranformationsBegin() {}
//! Callback function invoked after each bone transformations update
virtual void cbTransformationsEnd() {}
//! Callback function invoked before each local bone transformations update iteration
virtual void cbTransformationsIterBegin() {}
//! Callback function invoked after each local bone transformations update iteration
virtual void cbTransformationsIterEnd() {}
//! Callback function invoked before each local weights update iteration
virtual void cbWeightsIterBegin() {}
//! Callback function invoked after each local weights update iteration
virtual void cbWeightsIterEnd() {}
private:
int _iter, _iterTransformations, _iterWeights;
/** Best rigid transformation from covariance matrix
@param _qpT is the 4*4 covariance matrix
@param k is the frame number
@param j is the bone index
*/
void qpT2m(const Matrix4& _qpT, int k, int j) {
if (_qpT(3, 3)!=0) {
Matrix4 qpT=_qpT/_qpT(3, 3);
Eigen::JacobiSVD<Matrix3> svd(qpT.template topLeftCorner<3, 3>()-qpT.template topRightCorner<3, 1>()*qpT.template bottomLeftCorner<1, 3>(), Eigen::ComputeFullU|Eigen::ComputeFullV);
Matrix3 d=Matrix3::Identity();
d(2, 2)=(svd.matrixU()*svd.matrixV().transpose()).determinant();
m.rotMat(k, j)=svd.matrixU()*d*svd.matrixV().transpose();
m.transVec(k, j)=qpT.template topRightCorner<3, 1>()-m.rotMat(k, j)*qpT.template bottomLeftCorner<1, 3>().transpose();
}
}
/** Fitting error
@param i is the vertex index
@param j is the bone index
*/
_Scalar errorVtxBone(int i, int j, bool par=true) {
_Scalar e=0;
#pragma omp parallel for if(par)
for (int k=0; k<nF; k++)
#pragma omp atomic
e+=(m.rotMat(k, j)*u.vec3(subjectID(k), i)+m.transVec(k, j)-v.vec3(k, i).template cast<_Scalar>()).squaredNorm();
return e;
}
//! label(i) is the index of the bone associated with vertex i
Eigen::VectorXi label;
//! Comparator for heap with smallest values on top
struct TripletLess {
bool operator() (const Triplet& t1, const Triplet& t2) {
return t1.value()>t2.value();
}
};
/** Update labels of vertices
*/
void computeLabel() {
VectorX ei(nV);
Eigen::VectorXi seed=Eigen::VectorXi::Constant(nB, -1);
VectorX gMin(nB);
#pragma omp parallel for
for (int i=0; i<nV; i++) {
int j=label(i);
if (j!=-1) {
ei(i)=errorVtxBone(i, j, false);
if ((seed(j)==-1)||(ei(i)<gMin(j))) {
#pragma omp critical
if ((seed(j)==-1)||(ei(i)<gMin(j))) {
gMin(j)=ei(i);
seed(j)=i;
}
}
}
}
std::priority_queue<Triplet, std::vector<Triplet, Eigen::aligned_allocator<Triplet>>, TripletLess> heap;
for (int j=0; j<nB; j++) if (seed(j)!=-1) heap.push(Triplet(j, seed(j), ei(seed(j))));
if (laplacian.cols()!=nV) computeSmoothSolver();
std::vector<bool> dirty(nV, true);
while (!heap.empty()) {
Triplet top=heap.top();
heap.pop();
int i=(int)top.col();
int j=(int)top.row();
if (dirty[i]) {
label(i)=j;
ei(i)=top.value();
dirty[i]=false;
for (typename SparseMatrix::InnerIterator it(laplacian, i); it; ++it) {
int i2=(int)it.row();
if (dirty[i2]) {
double tmp=(label(i2)==j)?ei(i2):errorVtxBone(i2, j);
heap.push(Triplet(j, i2, tmp));
}
}
}
}
#pragma omp parallel for
for (int i=0; i<nV; i++)
if (label(i)==-1) {
_Scalar gMin;
for (int j=0; j<nB; j++) {
_Scalar ej=errorVtxBone(i, j, false);
if ((label(i)==-1)||(gMin>ej)) {
gMin=ej;
label(i)=j;
}
}
}
}
/** Update bone transformation from label
*/
void computeTransFromLabel() {
m=Matrix4::Identity().replicate(nF, nB);
#pragma omp parallel for
for (int k=0; k<nF; k++) {
MatrixX qpT=MatrixX::Zero(4, 4*nB);
for (int i=0; i<nV; i++)
if (label(i)!=-1) qpT.blk4(0, label(i))+=Vector4(v.vec3(k, i).template cast<_Scalar>().homogeneous())*u.vec3(subjectID(k), i).homogeneous().transpose();
for (int j=0; j<nB; j++) qpT2m(qpT.blk4(0, j), k, j);
}
}
/** Set matrix w from label
*/
void labelToWeights() {
std::vector<Triplet, Eigen::aligned_allocator<Triplet>> trip(nV);
for (int i=0; i<nV; i++) trip[i]=Triplet(label(i), i, _Scalar(1));
w.resize(nB, nV);
w.setFromTriplets(trip.begin(), trip.end());
}
/** Split bone clusters
@param maxB is the maximum number of bones
@param threshold*2 is the minimum size of the bone cluster to be splited
*/
void split(int maxB, int threshold) {
//Centroids
MatrixX cu=MatrixX::Zero(3*nS, nB);
Eigen::VectorXi s=Eigen::VectorXi::Zero(nB);
for (int i=0; i<nV; i++) {
cu.col(label(i))+=u.col(i);
s(label(i))++;
}
for (int j=0; j<nB; j++) if (s(j)!=0) cu.col(j)/=_Scalar(s(j));
//Seed & cluster error
Eigen::VectorXi seed=Eigen::VectorXi::Constant(nB, -1);
VectorX gMax(nB);
VectorX ce=VectorX::Zero(nB);
#pragma omp parallel for
for (int i=0; i<nV; i++) {
int j=label(i);
double e=errorVtxBone(i, j, false);
#pragma omp atomic
ce(j)+=e;
double tmp=e*(u.col(i)-cu.col(j)).squaredNorm();
if ((seed(j)==-1)||(tmp>gMax(j))) {
#pragma omp critical
if ((seed(j)==-1)||(tmp>gMax(j))) {
gMax(j)=tmp;
seed(j)=i;
}
}
}
int countID=nB;
_Scalar avgErr=ce.sum()/nB;
for (int j=0; j<nB; j++)
if ((countID<maxB)&&(s(j)>threshold*2)&&(ce(j)>avgErr/100)) {
int newLabel=countID++;
int i=seed(j);
for (typename SparseMatrix::InnerIterator it(laplacian, i); it; ++it) label(it.row())=newLabel;
}
nB=countID;
}
/** Remove bones with small number of associated vertices
@param threshold is the minimum number of vertices assigned to a bone
*/
void pruneBones(int threshold) {
Eigen::VectorXi s=Eigen::VectorXi::Zero(nB);
#pragma omp parallel for
for (int i=0; i<nV; i++) {
#pragma omp atomic
s(label(i))++;
}
Eigen::VectorXi newID(nB);
int countID=0;
for (int j=0; j<nB; j++)
if (s(j)<threshold) newID(j)=-1; else newID(j)=countID++;
if (countID==nB) return;
for (int j=0; j<nB; j++)
if (newID(j)!=-1) m.template middleCols<4>(newID(j)*4)=m.template middleCols<4>(j*4);
#pragma omp parallel for
for (int i=0; i<nV; i++) label(i)=newID(label(i));
nB=countID;
m.conservativeResize(nF*4, nB*4);
computeLabel();
}
/** Initialize skinning weights with rigid bind to the best bone
*/
void initWeights() {
label=Eigen::VectorXi::Constant(nV, -1);
#pragma omp parallel for
for (int i=0; i<nV; i++) {
_Scalar gMin;
for (int j=0; j<nB; j++) {
_Scalar ej=errorVtxBone(i, j, false);
if ((label(i)==-1)||(gMin>ej)) {
gMin=ej;
label(i)=j;
}
}
}
computeLabel();
labelToWeights();
}
//! vuT.blk4(k, j) = \sum_{i=0}^{nV-1} w(j, i)*v.vec3(k, i).homogeneous()*u.vec3(subjectID(k), i).homogeneous()^T
MatrixX vuT;
/** Pre-compute vuT with bone translations affinity soft constraint
*/
void compute_vuT() {
vuT=MatrixX::Zero(nF*4, nB*4);
#pragma omp parallel for
for (int k=0; k<nF; k++) {
MatrixX vuTp=MatrixX::Zero(4, nB*4);
for (int i=0; i<nV; i++)
for (typename SparseMatrix::InnerIterator it(w, i); it; ++it) {
Matrix4 tmp=Vector4(v.vec3(k, i).template cast<_Scalar>().homogeneous())*u.vec3(subjectID(k), i).homogeneous().transpose();
vuT.blk4(k, it.row())+=it.value()*tmp;
vuTp.blk4(0, it.row())+=pow(it.value(), transAffineNorm)*tmp;
}
for (int j=0; j<nB; j++)
if (vuTp(3, j*4+3)!=0)
vuT.blk4(k, j)+=(transAffine*vuT(k*4+3, j*4+3)/vuTp(3, j*4+3))*vuTp.blk4(0, j);
}
}
//! uuT is a sparse block matrix, uuT(j, k).block<4, 4>(s*4, 0) = \sum{i=0}{nV-1} w(j, i)*w(k, i)*u.col(i).segment<3>(s*3).homogeneous().transpose()*u.col(i).segment<3>(s*3).homogeneous()
struct SparseMatrixBlock {
EIGEN_MAKE_ALIGNED_OPERATOR_NEW
MatrixX val;
Eigen::VectorXi innerIdx, outerIdx;
} uuT;
/** Pre-compute uuT for bone transformations update
*/
void compute_uuT() {
Eigen::MatrixXi pos=Eigen::MatrixXi::Constant(nB, nB, -1);
#pragma omp parallel for
for (int i=0; i<nV; i++)
for (typename SparseMatrix::InnerIterator it(w, i); it; ++it)
for (typename SparseMatrix::InnerIterator jt(w, i); jt; ++jt)
pos(it.row(), jt.row())=1;
uuT.outerIdx.resize(nB+1);
uuT.innerIdx.resize(nB*nB);
int nnz=0;
for (int j=0; j<nB; j++) {
uuT.outerIdx(j)=nnz;
for (int i=0; i<nB; i++)
if (pos(i, j)!=-1) {
uuT.innerIdx(nnz)=i;
pos(i, j)=nnz++;
}
}
uuT.outerIdx(nB)=nnz;
uuT.innerIdx.conservativeResize(nnz);
uuT.val=MatrixX::Zero(nS*4, nnz*4);
#pragma omp parallel for
for (int i=0; i<nV; i++)
for (typename SparseMatrix::InnerIterator it(w, i); it; ++it)
for (typename SparseMatrix::InnerIterator jt(w, i); jt; ++jt)
if (it.row()>=jt.row()) {
double _w=it.value()*jt.value();
MatrixX _uuT(4*nS, 4);
Vector4 _u;
for (int s=0; s<nS; s++) {
_u=u.vec3(s, i).homogeneous();
_uuT.blk4(s, 0)=_w*_u*_u.transpose();
}
int p=pos(it.row(), jt.row())*4;
for (int c=0; c<4; c++)
for (int r=0; r<4*nS; r++)
#pragma omp atomic
uuT.val(r, p+c)+=_uuT(r, c);
}
for (int i=0; i<nB; i++)
for (int j=i+1; j<nB; j++)
if (pos(i, j)!=-1)
uuT.val.middleCols(pos(i, j)*4, 4)=uuT.val.middleCols(pos(j, i)*4, 4);
}
//! mTm.size = (4*nS*nB, 4*nB), where mTm.block<4, 4>(s*nB+i, j) = \sum_{k=fStart(s)}^{fStart(s+1)-1} m.block<3, 4>(k*4, i*4)^T*m.block<3, 4>(k*4, j*4)
MatrixX mTm;
/** Pre-compute mTm for weights update
*/
void compute_mTm() {
Eigen::MatrixXi idx(2, nB*(nB+1)/2);
int nPairs=0;
for (int i=0; i<nB; i++)
for (int j=i; j<nB; j++) {
idx(0, nPairs)=i;
idx(1, nPairs)=j;
nPairs++;
}
mTm=MatrixX::Zero(nS*nB*4, nB*4);
#pragma omp parallel for
for (int p=0; p<nPairs; p++) {
int i=idx(0, p);
int j=idx(1, p);
for (int k=0; k<nF; k++)
mTm.blk4(subjectID(k)*nB+i, j)+=m.blk4(k, i).template topRows<3>().transpose()*m.blk4(k, j).template topRows<3>();
if (i!=j) for (int s=0; s<nS; s++) mTm.blk4(s*nB+j, i)=mTm.blk4(s*nB+i, j);
}
}
//! aTb.col(i) is the A^Tb for vertex i, where A.size = (3*nF, nB), A.col(j).segment<3>(f*3) is the transformed position of vertex i by bone j at frame f, b = v.col(i).
MatrixX aTb;
/** Pre-compute aTb for weights update
*/
void compute_aTb() {
#pragma omp parallel for
for (int i=0; i<nV; i++)
for (int j=0; j<nB; j++)
if ((aTb(j, i)==0)&&(ws(j, i)>weightEps))
for (int k=0; k<nF; k++)
aTb(j, i)+=v.vec3(k, i).template cast<_Scalar>().dot(m.blk4(k, j).template topRows<3>()*u.vec3(subjectID(k), i).homogeneous());
}
//! Size of the model=RMS distance to centroid
_Scalar modelSize;
//! Laplacian matrix
SparseMatrix laplacian;
//! LU factorization of Laplacian
Eigen::SparseLU<SparseMatrix> smoothSolver;
/** Pre-compute Laplacian and LU factorization
*/
void computeSmoothSolver() {
int nFV=(int)fv.size();
_Scalar epsDis=0;
for (int f=0; f<nFV; f++) {
int nf=(int)fv[f].size();
for (int g=0; g<nf; g++) {
int i=fv[f][g];
int j=fv[f][(g+1)%nf];
epsDis+=(u.col(i)-u.col(j)).norm();
}
}
epsDis=epsDis*weightEps/(_Scalar)nS;
std::vector<Triplet, Eigen::aligned_allocator<Triplet>> triplet;
VectorX d=VectorX::Zero(nV);
#pragma omp parallel for
for (int f=0; f<nFV; f++) {
int nf=(int)fv[f].size();
for (int g=0; g<nf; g++) {
int i=fv[f][g];
int j=fv[f][(g+1)%nf];
if (i<j) {
double val=0;
for (int s=0; s<nS; s++) {
double du=(u.vec3(s, i)-u.vec3(s, j)).norm();
for (int k=fStart(s); k<fStart(s+1); k++)
val+=pow((v.vec3(k, i).template cast<_Scalar>()-v.vec3(k, j).template cast<_Scalar>()).norm()-du, 2);
}
val=1/(sqrt(val/nF)+epsDis);
#pragma omp critical
triplet.push_back(Triplet(i, j, -val));
#pragma omp atomic
d(i)+=val;
#pragma omp critical
triplet.push_back(Triplet(j, i, -val));
#pragma omp atomic
d(j)+=val;
}
}
}
for (int i=0; i<nV; i++)
triplet.push_back(Triplet(i, i, d(i)));
laplacian.resize(nV, nV);
laplacian.setFromTriplets(triplet.begin(), triplet.end());
for (int i=0; i<nV; i++)
if (d(i)!=0) laplacian.row(i)/=d(i);
laplacian=weightsSmoothStep*laplacian+SparseMatrix((VectorX::Ones(nV)).asDiagonal());
smoothSolver.compute(laplacian);
}
//! Smoothed skinning weights
MatrixX ws;
/** Implicit skinning weights Laplacian smoothing
*/
void compute_ws() {
ws=w.transpose();
#pragma omp parallel for
for (int j=0; j<nB; j++) ws.col(j)=smoothSolver.solve(ws.col(j));
ws.transposeInPlace();
#pragma omp parallel for
for (int i=0; i<nV; i++) {
ws.col(i)=ws.col(i).cwiseMax(0.0);
_Scalar si=ws.col(i).sum();
if (si<_Scalar(0.1)) ws.col(i)=VectorX::Constant(nB, _Scalar(1)/nB); else ws.col(i)/=si;
}
}
//! Per-vertex weights solver
ConvexLS<_Scalar> wSolver;
/** Pre-compute aTa for weights update on one vertex
@param i is the vertex index.
@param aTa is the by-reference output of A^TA for vertex i, where A.size = (3*nF, nB), A.col(j).segment<3>(f*3) is the transformed position of vertex i by bone j at frame f.
*/
void compute_aTa(int i, MatrixX& aTa) {
aTa=MatrixX::Zero(nB, nB);
for (int j1=0; j1<nB; j1++)
for (int j2=j1; j2<nB; j2++) {
for (int s=0; s<nS; s++) aTa(j1, j2)+=u.vec3(s, i).homogeneous().dot(mTm.blk4(s*nB+j1, j2)*u.vec3(s, i).homogeneous());
if (j1!=j2) aTa(j2, j1)=aTa(j1, j2);
}
}
};
}
#ifdef DEM_BONES_DEM_BONES_MAT_BLOCKS_UNDEFINED
#undef blk4
#undef rotMat
#undef transVec
#undef vec3
#undef DEM_BONES_MAT_BLOCKS
#endif
#endif
|
filter.c | /* Copyright 2015-2017. The Regents of the University of California.
* Copyright 2016-2017. Martin Uecker.
* All rights reserved. Use of this source code is governed by
* a BSD-style license which can be found in the LICENSE file.
*
* Authors:
* 2012-2017 Martin Uecker <martin.uecker@med.uni-goettingen.de>
* 2017 Jon Tamir <jtamir@eecs.berkeley.edu>
*/
#include <assert.h>
#include <stdlib.h>
#include <complex.h>
#include <math.h>
#include <strings.h>
#include "num/multind.h"
#include "num/flpmath.h"
#include "num/loop.h"
#include "misc/misc.h"
#include "misc/nested.h"
#include "filter.h"
static int cmp_float(const void* a, const void* b)
{
return (*(float*)a - *(float*)b > 0.) ? 1. : -1.;
}
static int cmp_complex_float(const void* a, const void* b) // gives sign for 0. (not 0)
{
return (cabsf(*(complex float*)a) - cabsf(*(complex float*)b) > 0.) ? 1. : -1.;
}
static void sort_floats(int N, float ar[N])
{
qsort((void*)ar, N, sizeof(float), cmp_float);
}
static void sort_complex_floats(int N, complex float ar[N])
{
qsort((void*)ar, N, sizeof(complex float), cmp_complex_float);
}
float median_float(int N, const float ar[N])
{
float tmp[N];
memcpy(tmp, ar, N * sizeof(float));
sort_floats(N, tmp);
return (1 == N % 2) ? tmp[(N - 1) / 2] : ((tmp[(N - 1) / 2 + 0] + tmp[(N - 1) / 2 + 1]) / 2.);
}
complex float median_complex_float(int N, const complex float ar[N])
{
complex float tmp[N];
memcpy(tmp, ar, N * sizeof(complex float));
sort_complex_floats(N, tmp);
return (1 == N % 2) ? tmp[(N - 1) / 2] : ((tmp[(N - 1) / 2 + 0] + tmp[(N - 1) / 2 + 1]) / 2.);
}
void md_medianz2(int D, int M, const long dim[D], const long ostr[D], complex float* optr, const long istr[D], const complex float* iptr)
{
assert(M < D);
const long* nstr[2] = { ostr, istr };
void* nptr[2] = { optr, (void*)iptr };
long length = dim[M];
long stride = istr[M];
long dim2[D];
for (int i = 0; i < D; i++)
dim2[i] = dim[i];
dim2[M] = 1;
NESTED(void, nary_medianz, (void* ptr[]))
{
complex float tmp[length];
for (long i = 0; i < length; i++)
tmp[i] = *((complex float*)(ptr[1] + i * stride));
*(complex float*)ptr[0] = median_complex_float(length, tmp);
};
md_nary(2, D, dim2, nstr, nptr, nary_medianz);
}
void md_medianz(int D, int M, const long dim[D], complex float* optr, const complex float* iptr)
{
assert(M < D);
long dim2[D];
for (int i = 0; i < D; i++)
dim2[i] = dim[i];
dim2[M] = 1;
long istr[D];
long ostr[D];
md_calc_strides(D, istr, dim, 8);
md_calc_strides(D, ostr, dim2, 8);
md_medianz2(D, M, dim, ostr, optr, istr, iptr);
}
void centered_gradient(unsigned int N, const long dims[N], const complex float grad[N], complex float* out)
{
md_zgradient(N, dims, out, grad);
long dims0[N];
md_singleton_dims(N, dims0);
long strs0[N];
md_calc_strides(N, strs0, dims0, CFL_SIZE);
complex float cn = 0.;
for (unsigned int n = 0; n < N; n++)
cn -= grad[n] * (float)dims[n] / 2.;
long strs[N];
md_calc_strides(N, strs, dims, CFL_SIZE);
md_zadd2(N, dims, strs, out, strs, out, strs0, &cn);
}
void linear_phase(unsigned int N, const long dims[N], const float pos[N], complex float* out)
{
complex float grad[N];
for (unsigned int n = 0; n < N; n++)
grad[n] = 2.i * M_PI * (float)(pos[n]) / ((float)dims[n]);
centered_gradient(N, dims, grad, out);
md_zmap(N, dims, out, out, cexpf);
}
void klaplace_scaled(unsigned int N, const long dims[N], unsigned int flags, const float sc[N], complex float* out)
{
unsigned int flags2 = flags;
complex float* tmp = md_alloc(N, dims, CFL_SIZE);
md_clear(N, dims, out, CFL_SIZE);
for (unsigned int i = 0; i < bitcount(flags); i++) {
unsigned int lsb = ffs(flags2) - 1;
flags2 = MD_CLEAR(flags2, lsb);
complex float grad[N];
for (unsigned int j = 0; j < N; j++)
grad[j] = 0.;
grad[lsb] = sc[lsb];
centered_gradient(N, dims, grad, tmp);
md_zspow(N, dims, tmp, tmp, 2.);
md_zadd(N, dims, out, out, tmp);
}
md_free(tmp);
}
void klaplace(unsigned int N, const long dims[N], unsigned int flags, complex float* out)
{
float sc[N];
for (unsigned int j = 0; j < N; j++)
sc[j] = 1. / (float)dims[j];
klaplace_scaled(N, dims, flags, sc, out);
}
static void nary_zwindow(const long N, const float alpha, const float beta, complex float* ptr)
{
if (1 == N) {
ptr[0] = 1.;
return;
}
#pragma omp parallel for
for (long i = 0; i < N; i++)
ptr[i] = alpha - beta * cosf(2. * M_PI * i / (N - 1));
}
static void nary_zhamming(const long N, complex float* ptr)
{
#if 0
const float alpha = 0.53836;
const float beta = 0.46164;
#else
const float alpha = 0.54;
const float beta = 0.46;
#endif
return nary_zwindow(N, alpha, beta, ptr);
}
static void nary_zhann(const long N, complex float* ptr)
{
const float alpha = 0.5;
const float beta = 0.5;
return nary_zwindow(N, alpha, beta, ptr);
}
enum window_type { WINDOW_HAMMING, WINDOW_HANN };
static void md_zwindow2(unsigned int D, const long dims[D], unsigned int flags, const long ostrs[D], complex float* optr, const long istrs[D], const complex float* iptr, enum window_type wt)
{
if (0 == flags) {
md_copy2(D, dims, ostrs, optr, istrs, iptr, CFL_SIZE);
return;
}
// process first flagged dimension
unsigned int lsb = ffs(flags) - 1;
long win_dims[D];
long win_strs[D];
md_select_dims(D, MD_BIT(lsb), win_dims, dims);
md_calc_strides(D, win_strs, win_dims, CFL_SIZE);
complex float* win = md_alloc_sameplace(D, win_dims, CFL_SIZE, iptr);
switch (wt) {
case WINDOW_HAMMING: nary_zhamming(dims[lsb], win); break;
case WINDOW_HANN: nary_zhann(dims[lsb], win); break;
};
md_zmul2(D, dims, ostrs, optr, istrs, iptr, win_strs, win);
md_free(win);
flags = MD_CLEAR(flags, lsb);
// process other dimensions
if (0 != flags)
md_zwindow2(D, dims, flags, ostrs, optr, ostrs, optr, wt);
return;
}
#if 0
static void md_zwindow(const unsigned int D, const long dims[D], const long flags, complex float* optr, const complex float* iptr, bool hamming)
{
long strs[D];
md_calc_strides(D, strs, dims, CFL_SIZE);
md_zwindow2(D, dims, flags, strs, optr, strs, iptr, hamming);
}
#endif
/*
* Apply Hamming window to iptr along flags
*/
void md_zhamming(const unsigned int D, const long dims[D], const long flags, complex float* optr, const complex float* iptr)
{
long strs[D];
md_calc_strides(D, strs, dims, CFL_SIZE);
return md_zhamming2(D, dims, flags, strs, optr, strs, iptr);
}
/*
* Apply Hamming window to iptr along flags (with strides)
*/
void md_zhamming2(const unsigned int D, const long dims[D], const long flags, const long ostrs[D], complex float* optr, const long istrs[D], const complex float* iptr)
{
return md_zwindow2(D, dims, flags, ostrs, optr, istrs, iptr, WINDOW_HAMMING);
}
/*
* Apply Hann window to iptr along flags
*/
void md_zhann(const unsigned int D, const long dims[D], const long flags, complex float* optr, const complex float* iptr)
{
long strs[D];
md_calc_strides(D, strs, dims, CFL_SIZE);
return md_zhann2(D, dims, flags, strs, optr, strs, iptr);
}
/*
* Apply Hann window to iptr along flags (with strides)
*/
void md_zhann2(const unsigned int D, const long dims[D], const long flags, const long ostrs[D], complex float* optr, const long istrs[D], const complex float* iptr)
{
return md_zwindow2(D, dims, flags, ostrs, optr, istrs, iptr, WINDOW_HANN);
}
|
thread-limit-2.c | /* { dg-do run } */
/* { dg-set-target-env-var OMP_THREAD_LIMIT "9" } */
#include <stdlib.h>
#include <unistd.h>
#include <omp.h>
int
main ()
{
if (omp_get_thread_limit () != 9)
return 0;
omp_set_dynamic (0);
#pragma omp parallel num_threads (8)
if (omp_get_num_threads () != 8)
abort ();
#pragma omp parallel num_threads (16)
if (omp_get_num_threads () > 9)
abort ();
#pragma omp target if (0)
#pragma omp teams thread_limit (6)
{
if (omp_get_thread_limit () > 6)
abort ();
if (omp_get_thread_limit () == 6)
{
omp_set_dynamic (0);
omp_set_nested (1);
#pragma omp parallel num_threads (3)
if (omp_get_num_threads () != 3)
abort ();
#pragma omp parallel num_threads (3)
if (omp_get_num_threads () != 3)
abort ();
#pragma omp parallel num_threads (8)
if (omp_get_num_threads () > 6)
abort ();
#pragma omp parallel num_threads (6)
if (omp_get_num_threads () != 6)
abort ();
int cnt = 0;
#pragma omp parallel num_threads (5)
#pragma omp parallel num_threads (5)
#pragma omp parallel num_threads (2)
{
int v;
#pragma omp atomic capture
v = ++cnt;
if (v > 6)
abort ();
usleep (10000);
#pragma omp atomic
--cnt;
}
}
}
return 0;
}
|
GB_binop__rminus_uint8.c | //------------------------------------------------------------------------------
// GB_binop: hard-coded functions for each built-in binary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2021, All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
//------------------------------------------------------------------------------
// If this file is in the Generated/ folder, do not edit it (auto-generated).
#include "GB.h"
#ifndef GBCOMPACT
#include "GB_emult.h"
#include "GB_control.h"
#include "GB_ek_slice.h"
#include "GB_dense.h"
#include "GB_atomics.h"
#include "GB_bitmap_assign_methods.h"
#include "GB_binop__include.h"
// C=binop(A,B) is defined by the following types and operators:
// A+B function (eWiseAdd): GB (_AaddB__rminus_uint8)
// A.*B function (eWiseMult): GB (_AemultB)
// A.*B function (eWiseMult): GB (_AemultB_02__rminus_uint8)
// A.*B function (eWiseMult): GB (_AemultB_03__rminus_uint8)
// A.*B function (eWiseMult): GB (_AemultB_bitmap__rminus_uint8)
// A*D function (colscale): GB (_AxD__rminus_uint8)
// D*A function (rowscale): GB (_DxB__rminus_uint8)
// C+=B function (dense accum): GB (_Cdense_accumB__rminus_uint8)
// C+=b function (dense accum): GB (_Cdense_accumb__rminus_uint8)
// C+=A+B function (dense ewise3): GB (_Cdense_ewise3_accum__rminus_uint8)
// C=A+B function (dense ewise3): GB (_Cdense_ewise3_noaccum__rminus_uint8)
// C=scalar+B GB (_bind1st__rminus_uint8)
// C=scalar+B' GB (_bind1st_tran__rminus_uint8)
// C=A+scalar GB (_bind2nd__rminus_uint8)
// C=A'+scalar GB (_bind2nd_tran__rminus_uint8)
// C type: uint8_t
// A type: uint8_t
// B,b type: uint8_t
// BinaryOp: cij = (bij - aij)
#define GB_ATYPE \
uint8_t
#define GB_BTYPE \
uint8_t
#define GB_CTYPE \
uint8_t
// true if the types of A and B are identical
#define GB_ATYPE_IS_BTYPE \
1
// true if the types of C and A are identical
#define GB_CTYPE_IS_ATYPE \
1
// true if the types of C and B are identical
#define GB_CTYPE_IS_BTYPE \
1
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA) \
uint8_t aij = Ax [pA]
// bij = Bx [pB]
#define GB_GETB(bij,Bx,pB) \
uint8_t bij = Bx [pB]
// declare scalar of the same type as C
#define GB_CTYPE_SCALAR(t) \
uint8_t t
// cij = Ax [pA]
#define GB_COPY_A_TO_C(cij,Ax,pA) \
cij = Ax [pA]
// cij = Bx [pB]
#define GB_COPY_B_TO_C(cij,Bx,pB) \
cij = Bx [pB]
#define GB_CX(p) Cx [p]
// binary operator
#define GB_BINOP(z, x, y, i, j) \
z = (y - x) ;
// true if the binop must be flipped
#define GB_BINOP_FLIP \
0
// op is second
#define GB_OP_IS_SECOND \
0
// do the numerical phases of GB_add and GB_emult
#define GB_PHASE_2_OF_2
// hard-coded loops can be vectorized
#define GB_PRAGMA_SIMD_VECTORIZE GB_PRAGMA_SIMD
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_RMINUS || GxB_NO_UINT8 || GxB_NO_RMINUS_UINT8)
//------------------------------------------------------------------------------
// C += A+B, all 3 matrices dense
//------------------------------------------------------------------------------
// The op must be MIN, MAX, PLUS, MINUS, RMINUS, TIMES, DIV, or RDIV.
void GB (_Cdense_ewise3_accum__rminus_uint8)
(
GrB_Matrix C,
const GrB_Matrix A,
const GrB_Matrix B,
const int nthreads
)
{
#include "GB_dense_ewise3_accum_template.c"
}
//------------------------------------------------------------------------------
// C = A+B, all 3 matrices dense
//------------------------------------------------------------------------------
GrB_Info GB (_Cdense_ewise3_noaccum__rminus_uint8)
(
GrB_Matrix C,
const GrB_Matrix A,
const GrB_Matrix B,
const int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_dense_ewise3_noaccum_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C += B, accumulate a sparse matrix into a dense matrix
//------------------------------------------------------------------------------
GrB_Info GB (_Cdense_accumB__rminus_uint8)
(
GrB_Matrix C,
const GrB_Matrix B,
const int64_t *B_ek_slicing, const int B_ntasks, const int B_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
{
#include "GB_dense_subassign_23_template.c"
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C += b, accumulate a scalar into a dense matrix
//------------------------------------------------------------------------------
GrB_Info GB (_Cdense_accumb__rminus_uint8)
(
GrB_Matrix C,
const GB_void *p_bwork,
const int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
{
// get the scalar b for C += b, of type uint8_t
uint8_t bwork = (*((uint8_t *) p_bwork)) ;
#include "GB_dense_subassign_22_template.c"
return (GrB_SUCCESS) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = A*D, column scale with diagonal D matrix
//------------------------------------------------------------------------------
GrB_Info GB (_AxD__rminus_uint8)
(
GrB_Matrix C,
const GrB_Matrix A, bool A_is_pattern,
const GrB_Matrix D, bool D_is_pattern,
const int64_t *A_ek_slicing, const int A_ntasks, const int A_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
uint8_t *restrict Cx = (uint8_t *) C->x ;
#include "GB_AxB_colscale_meta.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = D*B, row scale with diagonal D matrix
//------------------------------------------------------------------------------
GrB_Info GB (_DxB__rminus_uint8)
(
GrB_Matrix C,
const GrB_Matrix D, bool D_is_pattern,
const GrB_Matrix B, bool B_is_pattern,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
uint8_t *restrict Cx = (uint8_t *) C->x ;
#include "GB_AxB_rowscale_meta.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseAdd: C = A+B or C<M> = A+B
//------------------------------------------------------------------------------
GrB_Info GB (_AaddB__rminus_uint8)
(
GrB_Matrix C,
const int C_sparsity,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const bool Ch_is_Mh,
const int64_t *restrict C_to_M,
const int64_t *restrict C_to_A,
const int64_t *restrict C_to_B,
const GB_task_struct *restrict TaskList,
const int C_ntasks,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
GB_WERK_DECLARE (M_ek_slicing, int64_t) ;
GB_WERK_DECLARE (A_ek_slicing, int64_t) ;
GB_WERK_DECLARE (B_ek_slicing, int64_t) ;
#include "GB_add_template.c"
GB_FREE_WORK ;
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C = A.*B or C<M> = A.*B
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_01__rminus_uint8)
(
GrB_Matrix C,
const int C_sparsity,
const int ewise_method,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *restrict C_to_M,
const int64_t *restrict C_to_A,
const int64_t *restrict C_to_B,
const GB_task_struct *restrict TaskList,
const int C_ntasks,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_emult_01_meta.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C<#> = A.*B when A is sparse/hyper and B is bitmap/full
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_02__rminus_uint8)
(
GrB_Matrix C,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const bool flipxy,
const int64_t *restrict Cp_kfirst,
const int64_t *A_ek_slicing, const int A_ntasks, const int A_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#if GB_BINOP_FLIP
// The operator is not commutative, and does not have a flipped
// variant. For example z=atan2(y,x).
if (flipxy)
{
// use fmult(y,x)
#undef GB_FLIPPED
#define GB_FLIPPED 1
#include "GB_emult_02_template.c"
}
else
{
// use fmult(x,y)
#undef GB_FLIPPED
#define GB_FLIPPED 0
#include "GB_emult_02_template.c"
}
#else
// No need to handle the flip: the operator is either commutative, or
// has been handled by changing z=div(y,x) to z=rdiv(x,y) for example.
#undef GB_FLIPPED
#define GB_FLIPPED 0
#include "GB_emult_02_template.c"
#endif
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C<M> = A.*B, M sparse/hyper, A and B bitmap/full
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_03__rminus_uint8)
(
GrB_Matrix C,
const GrB_Matrix M,
const bool Mask_struct,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *restrict Cp_kfirst,
const int64_t *M_ek_slicing, const int M_ntasks, const int M_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_emult_03_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C=A.*B, C<M>=A.*B, C<!M>=A.*B where C is bitmap
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_bitmap__rminus_uint8)
(
GrB_Matrix C,
const int ewise_method,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *M_ek_slicing, const int M_ntasks, const int M_nthreads,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_bitmap_emult_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// Cx = op (x,Bx): apply a binary operator to a matrix with scalar bind1st
//------------------------------------------------------------------------------
GrB_Info GB (_bind1st__rminus_uint8)
(
GB_void *Cx_output, // Cx and Bx may be aliased
const GB_void *x_input,
const GB_void *Bx_input,
const int8_t *restrict Bb,
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
uint8_t *Cx = (uint8_t *) Cx_output ;
uint8_t x = (*((uint8_t *) x_input)) ;
uint8_t *Bx = (uint8_t *) Bx_input ;
int64_t p ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
if (!GBB (Bb, p)) continue ;
uint8_t bij = Bx [p] ;
Cx [p] = (bij - x) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// Cx = op (Ax,y): apply a binary operator to a matrix with scalar bind2nd
//------------------------------------------------------------------------------
GrB_Info GB (_bind2nd__rminus_uint8)
(
GB_void *Cx_output, // Cx and Ax may be aliased
const GB_void *Ax_input,
const GB_void *y_input,
const int8_t *restrict Ab,
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t p ;
uint8_t *Cx = (uint8_t *) Cx_output ;
uint8_t *Ax = (uint8_t *) Ax_input ;
uint8_t y = (*((uint8_t *) y_input)) ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
if (!GBB (Ab, p)) continue ;
uint8_t aij = Ax [p] ;
Cx [p] = (y - aij) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (x, A'): transpose and apply a binary operator
//------------------------------------------------------------------------------
// cij = op (x, aij), no typecasting (in spite of the macro name)
#undef GB_CAST_OP
#define GB_CAST_OP(pC,pA) \
{ \
uint8_t aij = Ax [pA] ; \
Cx [pC] = (aij - x) ; \
}
GrB_Info GB (_bind1st_tran__rminus_uint8)
(
GrB_Matrix C,
const GB_void *x_input,
const GrB_Matrix A,
int64_t *restrict *Workspaces,
const int64_t *restrict A_slice,
int nworkspaces,
int nthreads
)
{
// GB_unop_transpose.c uses GB_ATYPE, but A is
// the 2nd input to binary operator z=f(x,y).
#undef GB_ATYPE
#define GB_ATYPE \
uint8_t
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
uint8_t x = (*((const uint8_t *) x_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
#undef GB_ATYPE
#define GB_ATYPE \
uint8_t
}
//------------------------------------------------------------------------------
// C = op (A', y): transpose and apply a binary operator
//------------------------------------------------------------------------------
// cij = op (aij, y), no typecasting (in spite of the macro name)
#undef GB_CAST_OP
#define GB_CAST_OP(pC,pA) \
{ \
uint8_t aij = Ax [pA] ; \
Cx [pC] = (y - aij) ; \
}
GrB_Info GB (_bind2nd_tran__rminus_uint8)
(
GrB_Matrix C,
const GrB_Matrix A,
const GB_void *y_input,
int64_t *restrict *Workspaces,
const int64_t *restrict A_slice,
int nworkspaces,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
uint8_t y = (*((const uint8_t *) y_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
GB_binop__times_uint8.c | //------------------------------------------------------------------------------
// GB_binop: hard-coded functions for each built-in binary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2021, All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
//------------------------------------------------------------------------------
// If this file is in the Generated/ folder, do not edit it (auto-generated).
#include "GB.h"
#ifndef GBCOMPACT
#include "GB_emult.h"
#include "GB_control.h"
#include "GB_ek_slice.h"
#include "GB_dense.h"
#include "GB_atomics.h"
#include "GB_bitmap_assign_methods.h"
#include "GB_binop__include.h"
// C=binop(A,B) is defined by the following types and operators:
// A+B function (eWiseAdd): GB (_AaddB__times_uint8)
// A.*B function (eWiseMult): GB (_AemultB)
// A.*B function (eWiseMult): GB (_AemultB_02__times_uint8)
// A.*B function (eWiseMult): GB (_AemultB_03__times_uint8)
// A.*B function (eWiseMult): GB (_AemultB_bitmap__times_uint8)
// A*D function (colscale): GB (_AxD__times_uint8)
// D*A function (rowscale): GB (_DxB__times_uint8)
// C+=B function (dense accum): GB (_Cdense_accumB__times_uint8)
// C+=b function (dense accum): GB (_Cdense_accumb__times_uint8)
// C+=A+B function (dense ewise3): GB (_Cdense_ewise3_accum__times_uint8)
// C=A+B function (dense ewise3): GB (_Cdense_ewise3_noaccum__times_uint8)
// C=scalar+B GB (_bind1st__times_uint8)
// C=scalar+B' GB (_bind1st_tran__times_uint8)
// C=A+scalar GB (_bind2nd__times_uint8)
// C=A'+scalar GB (_bind2nd_tran__times_uint8)
// C type: uint8_t
// A type: uint8_t
// B,b type: uint8_t
// BinaryOp: cij = (aij * bij)
#define GB_ATYPE \
uint8_t
#define GB_BTYPE \
uint8_t
#define GB_CTYPE \
uint8_t
// true if the types of A and B are identical
#define GB_ATYPE_IS_BTYPE \
1
// true if the types of C and A are identical
#define GB_CTYPE_IS_ATYPE \
1
// true if the types of C and B are identical
#define GB_CTYPE_IS_BTYPE \
1
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA) \
uint8_t aij = Ax [pA]
// bij = Bx [pB]
#define GB_GETB(bij,Bx,pB) \
uint8_t bij = Bx [pB]
// declare scalar of the same type as C
#define GB_CTYPE_SCALAR(t) \
uint8_t t
// cij = Ax [pA]
#define GB_COPY_A_TO_C(cij,Ax,pA) \
cij = Ax [pA]
// cij = Bx [pB]
#define GB_COPY_B_TO_C(cij,Bx,pB) \
cij = Bx [pB]
#define GB_CX(p) Cx [p]
// binary operator
#define GB_BINOP(z, x, y, i, j) \
z = (x * y) ;
// true if the binop must be flipped
#define GB_BINOP_FLIP \
0
// op is second
#define GB_OP_IS_SECOND \
0
// do the numerical phases of GB_add and GB_emult
#define GB_PHASE_2_OF_2
// hard-coded loops can be vectorized
#define GB_PRAGMA_SIMD_VECTORIZE GB_PRAGMA_SIMD
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_TIMES || GxB_NO_UINT8 || GxB_NO_TIMES_UINT8)
//------------------------------------------------------------------------------
// C += A+B, all 3 matrices dense
//------------------------------------------------------------------------------
// The op must be MIN, MAX, PLUS, MINUS, RMINUS, TIMES, DIV, or RDIV.
void GB (_Cdense_ewise3_accum__times_uint8)
(
GrB_Matrix C,
const GrB_Matrix A,
const GrB_Matrix B,
const int nthreads
)
{
#include "GB_dense_ewise3_accum_template.c"
}
//------------------------------------------------------------------------------
// C = A+B, all 3 matrices dense
//------------------------------------------------------------------------------
GrB_Info GB (_Cdense_ewise3_noaccum__times_uint8)
(
GrB_Matrix C,
const GrB_Matrix A,
const GrB_Matrix B,
const int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_dense_ewise3_noaccum_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C += B, accumulate a sparse matrix into a dense matrix
//------------------------------------------------------------------------------
GrB_Info GB (_Cdense_accumB__times_uint8)
(
GrB_Matrix C,
const GrB_Matrix B,
const int64_t *B_ek_slicing, const int B_ntasks, const int B_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
{
#include "GB_dense_subassign_23_template.c"
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C += b, accumulate a scalar into a dense matrix
//------------------------------------------------------------------------------
GrB_Info GB (_Cdense_accumb__times_uint8)
(
GrB_Matrix C,
const GB_void *p_bwork,
const int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
{
// get the scalar b for C += b, of type uint8_t
uint8_t bwork = (*((uint8_t *) p_bwork)) ;
#include "GB_dense_subassign_22_template.c"
return (GrB_SUCCESS) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = A*D, column scale with diagonal D matrix
//------------------------------------------------------------------------------
GrB_Info GB (_AxD__times_uint8)
(
GrB_Matrix C,
const GrB_Matrix A, bool A_is_pattern,
const GrB_Matrix D, bool D_is_pattern,
const int64_t *A_ek_slicing, const int A_ntasks, const int A_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
uint8_t *restrict Cx = (uint8_t *) C->x ;
#include "GB_AxB_colscale_meta.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = D*B, row scale with diagonal D matrix
//------------------------------------------------------------------------------
GrB_Info GB (_DxB__times_uint8)
(
GrB_Matrix C,
const GrB_Matrix D, bool D_is_pattern,
const GrB_Matrix B, bool B_is_pattern,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
uint8_t *restrict Cx = (uint8_t *) C->x ;
#include "GB_AxB_rowscale_meta.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseAdd: C = A+B or C<M> = A+B
//------------------------------------------------------------------------------
GrB_Info GB (_AaddB__times_uint8)
(
GrB_Matrix C,
const int C_sparsity,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const bool Ch_is_Mh,
const int64_t *restrict C_to_M,
const int64_t *restrict C_to_A,
const int64_t *restrict C_to_B,
const GB_task_struct *restrict TaskList,
const int C_ntasks,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
GB_WERK_DECLARE (M_ek_slicing, int64_t) ;
GB_WERK_DECLARE (A_ek_slicing, int64_t) ;
GB_WERK_DECLARE (B_ek_slicing, int64_t) ;
#include "GB_add_template.c"
GB_FREE_WORK ;
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C = A.*B or C<M> = A.*B
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_01__times_uint8)
(
GrB_Matrix C,
const int C_sparsity,
const int ewise_method,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *restrict C_to_M,
const int64_t *restrict C_to_A,
const int64_t *restrict C_to_B,
const GB_task_struct *restrict TaskList,
const int C_ntasks,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_emult_01_meta.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C<#> = A.*B when A is sparse/hyper and B is bitmap/full
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_02__times_uint8)
(
GrB_Matrix C,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const bool flipxy,
const int64_t *restrict Cp_kfirst,
const int64_t *A_ek_slicing, const int A_ntasks, const int A_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#if GB_BINOP_FLIP
// The operator is not commutative, and does not have a flipped
// variant. For example z=atan2(y,x).
if (flipxy)
{
// use fmult(y,x)
#undef GB_FLIPPED
#define GB_FLIPPED 1
#include "GB_emult_02_template.c"
}
else
{
// use fmult(x,y)
#undef GB_FLIPPED
#define GB_FLIPPED 0
#include "GB_emult_02_template.c"
}
#else
// No need to handle the flip: the operator is either commutative, or
// has been handled by changing z=div(y,x) to z=rdiv(x,y) for example.
#undef GB_FLIPPED
#define GB_FLIPPED 0
#include "GB_emult_02_template.c"
#endif
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C<M> = A.*B, M sparse/hyper, A and B bitmap/full
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_03__times_uint8)
(
GrB_Matrix C,
const GrB_Matrix M,
const bool Mask_struct,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *restrict Cp_kfirst,
const int64_t *M_ek_slicing, const int M_ntasks, const int M_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_emult_03_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C=A.*B, C<M>=A.*B, C<!M>=A.*B where C is bitmap
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_bitmap__times_uint8)
(
GrB_Matrix C,
const int ewise_method,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *M_ek_slicing, const int M_ntasks, const int M_nthreads,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_bitmap_emult_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// Cx = op (x,Bx): apply a binary operator to a matrix with scalar bind1st
//------------------------------------------------------------------------------
GrB_Info GB (_bind1st__times_uint8)
(
GB_void *Cx_output, // Cx and Bx may be aliased
const GB_void *x_input,
const GB_void *Bx_input,
const int8_t *restrict Bb,
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
uint8_t *Cx = (uint8_t *) Cx_output ;
uint8_t x = (*((uint8_t *) x_input)) ;
uint8_t *Bx = (uint8_t *) Bx_input ;
int64_t p ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
if (!GBB (Bb, p)) continue ;
uint8_t bij = Bx [p] ;
Cx [p] = (x * bij) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// Cx = op (Ax,y): apply a binary operator to a matrix with scalar bind2nd
//------------------------------------------------------------------------------
GrB_Info GB (_bind2nd__times_uint8)
(
GB_void *Cx_output, // Cx and Ax may be aliased
const GB_void *Ax_input,
const GB_void *y_input,
const int8_t *restrict Ab,
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t p ;
uint8_t *Cx = (uint8_t *) Cx_output ;
uint8_t *Ax = (uint8_t *) Ax_input ;
uint8_t y = (*((uint8_t *) y_input)) ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
if (!GBB (Ab, p)) continue ;
uint8_t aij = Ax [p] ;
Cx [p] = (aij * y) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (x, A'): transpose and apply a binary operator
//------------------------------------------------------------------------------
// cij = op (x, aij), no typecasting (in spite of the macro name)
#undef GB_CAST_OP
#define GB_CAST_OP(pC,pA) \
{ \
uint8_t aij = Ax [pA] ; \
Cx [pC] = (x * aij) ; \
}
GrB_Info GB (_bind1st_tran__times_uint8)
(
GrB_Matrix C,
const GB_void *x_input,
const GrB_Matrix A,
int64_t *restrict *Workspaces,
const int64_t *restrict A_slice,
int nworkspaces,
int nthreads
)
{
// GB_unop_transpose.c uses GB_ATYPE, but A is
// the 2nd input to binary operator z=f(x,y).
#undef GB_ATYPE
#define GB_ATYPE \
uint8_t
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
uint8_t x = (*((const uint8_t *) x_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
#undef GB_ATYPE
#define GB_ATYPE \
uint8_t
}
//------------------------------------------------------------------------------
// C = op (A', y): transpose and apply a binary operator
//------------------------------------------------------------------------------
// cij = op (aij, y), no typecasting (in spite of the macro name)
#undef GB_CAST_OP
#define GB_CAST_OP(pC,pA) \
{ \
uint8_t aij = Ax [pA] ; \
Cx [pC] = (aij * y) ; \
}
GrB_Info GB (_bind2nd_tran__times_uint8)
(
GrB_Matrix C,
const GrB_Matrix A,
const GB_void *y_input,
int64_t *restrict *Workspaces,
const int64_t *restrict A_slice,
int nworkspaces,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
uint8_t y = (*((const uint8_t *) y_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
GB_convert_hyper_to_sparse.c | //------------------------------------------------------------------------------
// GB_convert_hyper_to_sparse: convert a matrix from hypersparse to sparse
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2021, All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
//------------------------------------------------------------------------------
// On input, the matrix may have shallow A->p and A->h content; it is safely
// removed. On output, the matrix is always non-hypersparse (even if out of
// memory). If the input matrix is hypersparse, it is given a new A->p that is
// not shallow. If the input matrix is already non-hypersparse, nothing is
// changed (and in that case A->p remains shallow on output if shallow on
// input). The A->x and A->i content is not changed; it remains in whatever
// shallow/non-shallow state that it had on input).
// If an out-of-memory condition occurs, all content of the matrix is cleared.
// If the input matrix A is sparse, bitmap or full, it is unchanged.
#include "GB.h"
GB_PUBLIC // accessed by the MATLAB tests in GraphBLAS/Test only
GrB_Info GB_convert_hyper_to_sparse // convert hypersparse to sparse
(
GrB_Matrix A, // matrix to convert to non-hypersparse
GB_Context Context
)
{
//--------------------------------------------------------------------------
// check inputs
//--------------------------------------------------------------------------
ASSERT_MATRIX_OK (A, "A being converted from hyper to sparse", GB0) ;
ASSERT (GB_ZOMBIES_OK (A)) ;
ASSERT (GB_JUMBLED_OK (A)) ;
ASSERT (GB_PENDING_OK (A)) ;
//--------------------------------------------------------------------------
// convert A from hypersparse to sparse
//--------------------------------------------------------------------------
if (GB_IS_HYPERSPARSE (A))
{
//----------------------------------------------------------------------
// determine the number of threads to use
//----------------------------------------------------------------------
GBURBLE ("(hyper to sparse) ") ;
int64_t n = A->vdim ;
GB_GET_NTHREADS_MAX (nthreads_max, chunk, Context) ;
int nthreads = GB_nthreads (n, chunk, nthreads_max) ;
int ntasks = (nthreads == 1) ? 1 : (8 * nthreads) ;
ntasks = GB_IMIN (ntasks, n) ;
ntasks = GB_IMAX (ntasks, 1) ;
//----------------------------------------------------------------------
// allocate the new Ap array, of size n+1
//----------------------------------------------------------------------
int64_t *restrict Ap_new = NULL ; size_t Ap_new_size = 0 ;
Ap_new = GB_MALLOC (n+1, int64_t, &Ap_new_size) ;
if (Ap_new == NULL)
{
// out of memory
return (GrB_OUT_OF_MEMORY) ;
}
#ifdef GB_DEBUG
// to ensure all values of Ap_new are assigned below.
for (int64_t j = 0 ; j <= n ; j++) Ap_new [j] = -99999 ;
#endif
//----------------------------------------------------------------------
// get the old hyperlist
//----------------------------------------------------------------------
int64_t nvec = A->nvec ; // # of vectors in Ah_old
int64_t *restrict Ap_old = A->p ; // size nvec+1
int64_t *restrict Ah_old = A->h ; // size nvec
int64_t nvec_nonempty = 0 ; // recompute A->nvec_nonempty
int64_t anz = GB_NNZ (A) ;
//----------------------------------------------------------------------
// construct the new vector pointers
//----------------------------------------------------------------------
int tid ;
#pragma omp parallel for num_threads(nthreads) schedule(dynamic,1) \
reduction(+:nvec_nonempty)
for (tid = 0 ; tid < ntasks ; tid++)
{
int64_t jstart, jend, my_nvec_nonempty = 0 ;
GB_PARTITION (jstart, jend, n, tid, ntasks) ;
ASSERT (0 <= jstart && jstart <= jend && jend <= n) ;
// task tid computes Ap_new [jstart:jend-1] from Ap_old, Ah_old.
// GB_SPLIT_BINARY_SEARCH of Ah_old [0..nvec-1] for jstart:
// If found is true then Ah_old [k] == jstart.
// If found is false, and nvec > 0 then
// Ah_old [0 ... k-1] < jstart < Ah_old [k ... nvec-1]
// Whether or not i is found, if nvec > 0
// Ah_old [0 ... k-1] < jstart <= Ah_old [k ... nvec-1]
// If nvec == 0, then k == 0 and found will be false. In this
// case, jstart cannot be compared with any content of Ah_old,
// since Ah_old is completely empty (Ah_old [0] is invalid).
int64_t k = 0, pright = nvec-1 ;
bool found ;
GB_SPLIT_BINARY_SEARCH (jstart, Ah_old, k, pright, found) ;
ASSERT (k >= 0 && k <= nvec) ;
ASSERT (GB_IMPLIES (nvec == 0, !found && k == 0)) ;
ASSERT (GB_IMPLIES (found, jstart == Ah_old [k])) ;
ASSERT (GB_IMPLIES (!found && k < nvec, jstart < Ah_old [k])) ;
// Let jk = Ah_old [k], jlast = Ah_old [k-1], and pk = Ah_old [k].
// Then Ap_new [jlast+1:jk] must be set to pk. This must be done
// for all k = 0:nvec-1. In addition, the last vector k=nvec-1
// must be terminated by setting Ap_new [jk+1:n-1] to Ap_old [nvec].
// A task owns the kth vector if jk is in jstart:jend-1, inclusive.
// It counts all non-empty vectors that it owns. However, the task
// must also set Ap_new [...] = pk for any jlast+1:jk that overlaps
// jstart:jend-1, even if it does not own that particular vector k.
// This happens only at the tail end of jstart:jend-1.
int64_t jlast = (k == 0) ? (-1) : Ah_old [k-1] ;
jlast = GB_IMAX (jstart-1, jlast) ;
bool done = false ;
for ( ; k <= nvec && !done ; k++)
{
//--------------------------------------------------------------
// get the kth vector in Ah_old, which is vector index jk.
//--------------------------------------------------------------
int64_t jk = (k < nvec) ? Ah_old [k] : n ;
int64_t pk = (k < nvec) ? Ap_old [k] : anz ;
//--------------------------------------------------------------
// determine if this task owns jk
//--------------------------------------------------------------
int64_t jfin ;
if (jk >= jend)
{
// This is the last iteration for this task. This task
// does not own the kth vector. However, it does own the
// vector indices jlast+1:jend-1, and these vectors must
// be handled by this task.
jfin = jend - 1 ;
done = true ;
}
else
{
// This task owns the kth vector, which is vector index jk.
// Ap must be set to pk for all vector indices jlast+1:jk.
jfin = jk ;
ASSERT (k >= 0 && k < nvec && nvec > 0) ;
if (pk < Ap_old [k+1]) my_nvec_nonempty++ ;
}
//--------------------------------------------------------------
// set Ap_new for this vector
//--------------------------------------------------------------
// Ap_new [jlast+1:jk] must be set to pk. This tasks handles
// the intersection of jlast+1:jk with jstart:jend-1.
for (int64_t j = jlast+1 ; j <= jfin ; j++)
{
Ap_new [j] = pk ;
}
//--------------------------------------------------------------
// keep track of the prior vector index
//--------------------------------------------------------------
jlast = jk ;
}
nvec_nonempty += my_nvec_nonempty ;
//------------------------------------------------------------------
// no task owns Ap_new [n] so it is set by the last task
//------------------------------------------------------------------
if (tid == ntasks-1)
{
ASSERT (jend == n) ;
Ap_new [n] = anz ;
}
}
// free the old A->p and A->h hyperlist content.
// this clears A->nvec_nonempty so it must be restored below.
GB_ph_free (A) ;
// transplant the new vector pointers; matrix is no longer hypersparse
A->p = Ap_new ; A->p_size = Ap_new_size ;
A->h = NULL ;
A->nvec = n ;
A->nvec_nonempty = nvec_nonempty ;
A->plen = n ;
A->p_shallow = false ;
A->h_shallow = false ;
A->magic = GB_MAGIC ;
ASSERT (anz == GB_NNZ (A)) ;
//----------------------------------------------------------------------
// A is now sparse
//----------------------------------------------------------------------
ASSERT (GB_IS_SPARSE (A)) ;
}
//--------------------------------------------------------------------------
// A is now in sparse form (or left as full or bitmap)
//--------------------------------------------------------------------------
ASSERT_MATRIX_OK (A, "A converted to sparse (or left as-is)", GB0) ;
ASSERT (!GB_IS_HYPERSPARSE (A)) ;
ASSERT (GB_ZOMBIES_OK (A)) ;
ASSERT (GB_JUMBLED_OK (A)) ;
ASSERT (GB_PENDING_OK (A)) ;
return (GrB_SUCCESS) ;
}
|
GB_binop__plus_int16.c | //------------------------------------------------------------------------------
// GB_binop: hard-coded functions for each built-in binary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2021, All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
//------------------------------------------------------------------------------
// If this file is in the Generated2/ folder, do not edit it
// (it is auto-generated from Generator/*).
#include "GB.h"
#ifndef GBCOMPACT
#include "GB_emult.h"
#include "GB_control.h"
#include "GB_ek_slice.h"
#include "GB_dense.h"
#include "GB_atomics.h"
#include "GB_bitmap_assign_methods.h"
#include "GB_binop__include.h"
// C=binop(A,B) is defined by the following types and operators:
// A+B function (eWiseAdd): GB (_AaddB__plus_int16)
// A.*B function (eWiseMult): GB (_AemultB_01__plus_int16)
// A.*B function (eWiseMult): GB (_AemultB_02__plus_int16)
// A.*B function (eWiseMult): GB (_AemultB_03__plus_int16)
// A.*B function (eWiseMult): GB (_AemultB_bitmap__plus_int16)
// A*D function (colscale): GB (_AxD__plus_int16)
// D*A function (rowscale): GB (_DxB__plus_int16)
// C+=B function (dense accum): GB (_Cdense_accumB__plus_int16)
// C+=b function (dense accum): GB (_Cdense_accumb__plus_int16)
// C+=A+B function (dense ewise3): GB (_Cdense_ewise3_accum__plus_int16)
// C=A+B function (dense ewise3): GB (_Cdense_ewise3_noaccum__plus_int16)
// C=scalar+B GB (_bind1st__plus_int16)
// C=scalar+B' GB (_bind1st_tran__plus_int16)
// C=A+scalar GB (_bind2nd__plus_int16)
// C=A'+scalar GB (_bind2nd_tran__plus_int16)
// C type: int16_t
// A type: int16_t
// B,b type: int16_t
// BinaryOp: cij = (aij + bij)
#define GB_ATYPE \
int16_t
#define GB_BTYPE \
int16_t
#define GB_CTYPE \
int16_t
// true if the types of A and B are identical
#define GB_ATYPE_IS_BTYPE \
1
// true if the types of C and A are identical
#define GB_CTYPE_IS_ATYPE \
1
// true if the types of C and B are identical
#define GB_CTYPE_IS_BTYPE \
1
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA,A_iso) \
int16_t aij = GBX (Ax, pA, A_iso)
// bij = Bx [pB]
#define GB_GETB(bij,Bx,pB,B_iso) \
int16_t bij = GBX (Bx, pB, B_iso)
// declare scalar of the same type as C
#define GB_CTYPE_SCALAR(t) \
int16_t t
// cij = Ax [pA]
#define GB_COPY_A_TO_C(cij,Ax,pA,A_iso) \
cij = GBX (Ax, pA, A_iso)
// cij = Bx [pB]
#define GB_COPY_B_TO_C(cij,Bx,pB,B_iso) \
cij = GBX (Bx, pB, B_iso)
#define GB_CX(p) Cx [p]
// binary operator
#define GB_BINOP(z,x,y,i,j) \
z = (x + y) ;
// true if the binop must be flipped
#define GB_BINOP_FLIP \
0
// op is second
#define GB_OP_IS_SECOND \
0
// do the numerical phases of GB_add and GB_emult
#define GB_PHASE_2_OF_2
// hard-coded loops can be vectorized
#define GB_PRAGMA_SIMD_VECTORIZE GB_PRAGMA_SIMD
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_PLUS || GxB_NO_INT16 || GxB_NO_PLUS_INT16)
//------------------------------------------------------------------------------
// C += A+B, all 3 matrices dense
//------------------------------------------------------------------------------
// The op must be MIN, MAX, PLUS, MINUS, RMINUS, TIMES, DIV, or RDIV.
void GB (_Cdense_ewise3_accum__plus_int16)
(
GrB_Matrix C,
const GrB_Matrix A,
const GrB_Matrix B,
const int nthreads
)
{
#include "GB_dense_ewise3_accum_template.c"
}
//------------------------------------------------------------------------------
// C = A+B, all 3 matrices dense
//------------------------------------------------------------------------------
GrB_Info GB (_Cdense_ewise3_noaccum__plus_int16)
(
GrB_Matrix C,
const GrB_Matrix A,
const GrB_Matrix B,
const int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_dense_ewise3_noaccum_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C += B, accumulate a sparse matrix into a dense matrix
//------------------------------------------------------------------------------
GrB_Info GB (_Cdense_accumB__plus_int16)
(
GrB_Matrix C,
const GrB_Matrix B,
const int64_t *B_ek_slicing, const int B_ntasks, const int B_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
{
#include "GB_dense_subassign_23_template.c"
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C += b, accumulate a scalar into a dense matrix
//------------------------------------------------------------------------------
GrB_Info GB (_Cdense_accumb__plus_int16)
(
GrB_Matrix C,
const GB_void *p_bwork,
const int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
{
// get the scalar b for C += b, of type int16_t
int16_t bwork = (*((int16_t *) p_bwork)) ;
#include "GB_dense_subassign_22_template.c"
return (GrB_SUCCESS) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = A*D, column scale with diagonal D matrix
//------------------------------------------------------------------------------
GrB_Info GB (_AxD__plus_int16)
(
GrB_Matrix C,
const GrB_Matrix A, bool A_is_pattern,
const GrB_Matrix D, bool D_is_pattern,
const int64_t *A_ek_slicing, const int A_ntasks, const int A_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int16_t *restrict Cx = (int16_t *) C->x ;
#include "GB_AxB_colscale_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = D*B, row scale with diagonal D matrix
//------------------------------------------------------------------------------
GrB_Info GB (_DxB__plus_int16)
(
GrB_Matrix C,
const GrB_Matrix D, bool D_is_pattern,
const GrB_Matrix B, bool B_is_pattern,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int16_t *restrict Cx = (int16_t *) C->x ;
#include "GB_AxB_rowscale_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseAdd: C = A+B or C<M> = A+B
//------------------------------------------------------------------------------
GrB_Info GB (_AaddB__plus_int16)
(
GrB_Matrix C,
const int C_sparsity,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const bool Ch_is_Mh,
const int64_t *restrict C_to_M,
const int64_t *restrict C_to_A,
const int64_t *restrict C_to_B,
const GB_task_struct *restrict TaskList,
const int C_ntasks,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
GB_WERK_DECLARE (M_ek_slicing, int64_t) ;
GB_WERK_DECLARE (A_ek_slicing, int64_t) ;
GB_WERK_DECLARE (B_ek_slicing, int64_t) ;
#include "GB_add_template.c"
GB_FREE_WORK ;
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C = A.*B or C<M> = A.*B
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_01__plus_int16)
(
GrB_Matrix C,
const int C_sparsity,
const int ewise_method,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *restrict C_to_M,
const int64_t *restrict C_to_A,
const int64_t *restrict C_to_B,
const GB_task_struct *restrict TaskList,
const int C_ntasks,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_emult_01_meta.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C<#> = A.*B when A is sparse/hyper and B is bitmap/full
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_02__plus_int16)
(
GrB_Matrix C,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const bool flipxy,
const int64_t *restrict Cp_kfirst,
const int64_t *A_ek_slicing, const int A_ntasks, const int A_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#if GB_BINOP_FLIP
// The operator is not commutative, and does not have a flipped
// variant. For example z=atan2(y,x).
if (flipxy)
{
// use fmult(y,x)
#undef GB_FLIPPED
#define GB_FLIPPED 1
#include "GB_emult_02_template.c"
}
else
{
// use fmult(x,y)
#undef GB_FLIPPED
#define GB_FLIPPED 0
#include "GB_emult_02_template.c"
}
#else
// No need to handle the flip: the operator is either commutative, or
// has been handled by changing z=div(y,x) to z=rdiv(x,y) for example.
#undef GB_FLIPPED
#define GB_FLIPPED 0
#include "GB_emult_02_template.c"
#endif
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C<M> = A.*B, M sparse/hyper, A and B bitmap/full
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_03__plus_int16)
(
GrB_Matrix C,
const GrB_Matrix M,
const bool Mask_struct,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *restrict Cp_kfirst,
const int64_t *M_ek_slicing, const int M_ntasks, const int M_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_emult_03_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C=A.*B, C<M>=A.*B, C<!M>=A.*B where C is bitmap
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_bitmap__plus_int16)
(
GrB_Matrix C,
const int ewise_method,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *M_ek_slicing, const int M_ntasks, const int M_nthreads,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_bitmap_emult_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// Cx = op (x,Bx): apply a binary operator to a matrix with scalar bind1st
//------------------------------------------------------------------------------
GrB_Info GB (_bind1st__plus_int16)
(
GB_void *Cx_output, // Cx and Bx may be aliased
const GB_void *x_input,
const GB_void *Bx_input,
const int8_t *restrict Bb,
int64_t bnz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int16_t *Cx = (int16_t *) Cx_output ;
int16_t x = (*((int16_t *) x_input)) ;
int16_t *Bx = (int16_t *) Bx_input ;
int64_t p ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < bnz ; p++)
{
if (!GBB (Bb, p)) continue ;
int16_t bij = GBX (Bx, p, false) ;
Cx [p] = (x + bij) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// Cx = op (Ax,y): apply a binary operator to a matrix with scalar bind2nd
//------------------------------------------------------------------------------
GrB_Info GB (_bind2nd__plus_int16)
(
GB_void *Cx_output, // Cx and Ax may be aliased
const GB_void *Ax_input,
const GB_void *y_input,
const int8_t *restrict Ab,
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t p ;
int16_t *Cx = (int16_t *) Cx_output ;
int16_t *Ax = (int16_t *) Ax_input ;
int16_t y = (*((int16_t *) y_input)) ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
if (!GBB (Ab, p)) continue ;
int16_t aij = GBX (Ax, p, false) ;
Cx [p] = (aij + y) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (x, A'): transpose and apply a binary operator
//------------------------------------------------------------------------------
// cij = op (x, aij), no typecasting (in spite of the macro name)
#undef GB_CAST_OP
#define GB_CAST_OP(pC,pA) \
{ \
int16_t aij = GBX (Ax, pA, false) ; \
Cx [pC] = (x + aij) ; \
}
GrB_Info GB (_bind1st_tran__plus_int16)
(
GrB_Matrix C,
const GB_void *x_input,
const GrB_Matrix A,
int64_t *restrict *Workspaces,
const int64_t *restrict A_slice,
int nworkspaces,
int nthreads
)
{
// GB_unop_transpose.c uses GB_ATYPE, but A is
// the 2nd input to binary operator z=f(x,y).
#undef GB_ATYPE
#define GB_ATYPE \
int16_t
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int16_t x = (*((const int16_t *) x_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
#undef GB_ATYPE
#define GB_ATYPE \
int16_t
}
//------------------------------------------------------------------------------
// C = op (A', y): transpose and apply a binary operator
//------------------------------------------------------------------------------
// cij = op (aij, y), no typecasting (in spite of the macro name)
#undef GB_CAST_OP
#define GB_CAST_OP(pC,pA) \
{ \
int16_t aij = GBX (Ax, pA, false) ; \
Cx [pC] = (aij + y) ; \
}
GrB_Info GB (_bind2nd_tran__plus_int16)
(
GrB_Matrix C,
const GrB_Matrix A,
const GB_void *y_input,
int64_t *restrict *Workspaces,
const int64_t *restrict A_slice,
int nworkspaces,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int16_t y = (*((const int16_t *) y_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
DelayedUpdate.h | //////////////////////////////////////////////////////////////////////////////////////
// This file is distributed under the University of Illinois/NCSA Open Source License.
// See LICENSE file in top directory for details.
//
// Copyright (c) 2019 QMCPACK developers.
//
// File developed by: Ye Luo, yeluo@anl.gov, Argonne National Laboratory
//
// File created by: Ye Luo, yeluo@anl.gov, Argonne National Laboratory
//////////////////////////////////////////////////////////////////////////////////////
#ifndef QMCPLUSPLUS_DELAYED_UPDATE_H
#define QMCPLUSPLUS_DELAYED_UPDATE_H
#include <OhmmsPETE/OhmmsVector.h>
#include <OhmmsPETE/OhmmsMatrix.h>
#include "Numerics/OhmmsBlas.h"
#include "QMCWaveFunctions/Fermion/DiracMatrix.h"
#include "Numerics/BlasThreadingEnv.h"
#include "config.h"
namespace qmcplusplus
{
/** implements delayed update on CPU using BLAS
* @tparam T base precision for most computation
* @tparam T_FP high precision for matrix inversion, T_FP >= T
*/
template<typename T, typename T_FP>
class DelayedUpdate
{
/// orbital values of delayed electrons
Matrix<T> U;
/// rows of Ainv corresponding to delayed electrons
Matrix<T> V;
/// Matrix inverse of B, at maximum KxK
Matrix<T> Binv;
/// scratch space, used during inverse update
Matrix<T> tempMat;
/// temporal scratch space used by SM-1
Vector<T> temp;
/// new column of B
Vector<T> p;
/// list of delayed electrons
std::vector<int> delay_list;
/// current number of delays, increase one for each acceptance, reset to 0 after updating Ainv
int delay_count;
/// matrix inversion engine
DiracMatrix<T_FP> detEng;
public:
/// default constructor
DelayedUpdate() : delay_count(0) {}
/** resize the internal storage
* @param norb number of electrons/orbitals
* @param delay, maximum delay 0<delay<=norb
*/
inline void resize(int norb, int delay)
{
V.resize(delay, norb);
U.resize(delay, norb);
p.resize(delay);
temp.resize(norb);
tempMat.resize(norb, delay);
Binv.resize(delay, delay);
delay_list.resize(delay);
}
/** compute the inverse of the transpose of matrix A
* @param logdetT orbital value matrix
* @param Ainv inverse matrix
*/
template<typename TREAL>
inline void invert_transpose(const Matrix<T>& logdetT, Matrix<T>& Ainv, std::complex<TREAL>& LogValue)
{
detEng.invert_transpose(logdetT, Ainv, LogValue);
// safe mechanism
delay_count = 0;
}
/** initialize internal objects when Ainv is refreshed
* @param Ainv inverse matrix
*/
inline void initializeInv(const Matrix<T>& Ainv)
{
// safe mechanism
delay_count = 0;
}
inline int getDelayCount() const { return delay_count; }
/** compute the row of up-to-date Ainv
* @param Ainv inverse matrix
* @param rowchanged the row id corresponding to the proposed electron
*/
template<typename VVT>
inline void getInvRow(const Matrix<T>& Ainv, int rowchanged, VVT& invRow)
{
if (delay_count == 0)
{
// Ainv is fresh, directly access Ainv
std::copy_n(Ainv[rowchanged], invRow.size(), invRow.data());
return;
}
const T cone(1);
const T czero(0);
const int norb = Ainv.rows();
const int lda_Binv = Binv.cols();
// save Ainv[rowchanged] to invRow
std::copy_n(Ainv[rowchanged], norb, invRow.data());
// multiply V (NxK) Binv(KxK) U(KxN) invRow right to the left
BLAS::gemv('T', norb, delay_count, cone, U.data(), norb, invRow.data(), 1, czero, p.data(), 1);
BLAS::gemv('N', delay_count, delay_count, cone, Binv.data(), lda_Binv, p.data(), 1, czero, Binv[delay_count], 1);
BLAS::gemv('N', norb, delay_count, -cone, V.data(), norb, Binv[delay_count], 1, cone, invRow.data(), 1);
}
/** accept a move with the update delayed
* @param Ainv inverse matrix
* @param rowchanged the row id corresponding to the proposed electron
* @param psiV new orbital values
*
* Before delay_count reaches the maximum delay, only Binv is updated with a recursive algorithm
*/
template<typename VVT>
inline void acceptRow(Matrix<T>& Ainv, int rowchanged, const VVT& psiV)
{
const T cminusone(-1);
const T czero(0);
const int norb = Ainv.rows();
const int lda_Binv = Binv.cols();
std::copy_n(Ainv[rowchanged], norb, V[delay_count]);
std::copy_n(psiV.data(), norb, U[delay_count]);
delay_list[delay_count] = rowchanged;
// the new Binv is [[X Y] [Z x]]
BLAS::gemv('T', norb, delay_count + 1, cminusone, V.data(), norb, psiV.data(), 1, czero, p.data(), 1);
// x
T y = -p[delay_count];
for (int i = 0; i < delay_count; i++)
y += Binv[delay_count][i] * p[i];
Binv[delay_count][delay_count] = y = T(1) / y;
// Y
BLAS::gemv('T', delay_count, delay_count, y, Binv.data(), lda_Binv, p.data(), 1, czero, Binv.data() + delay_count,
lda_Binv);
// X
BLAS::ger(delay_count, delay_count, cminusone, Binv[delay_count], 1, Binv.data() + delay_count, lda_Binv,
Binv.data(), lda_Binv);
// Z
for (int i = 0; i < delay_count; i++)
Binv[delay_count][i] *= -y;
delay_count++;
// update Ainv when maximal delay is reached
if (delay_count == lda_Binv)
updateInvMat(Ainv);
}
/** update the full Ainv and reset delay_count
* @param Ainv inverse matrix
*/
inline void updateInvMat(Matrix<T>& Ainv)
{
if (delay_count == 0)
return;
// update the inverse matrix
const T cone(1);
const T czero(0);
const int norb = Ainv.rows();
if (delay_count == 1)
{
// this is a special case invoking the Fahy's variant of Sherman-Morrison update.
// Only use the first norb elements of tempMat as a temporal array
BLAS::gemv('T', norb, norb, cone, Ainv.data(), norb, U[0], 1, czero, temp.data(), 1);
temp[delay_list[0]] -= cone;
BLAS::ger(norb, norb, -Binv[0][0], V[0], 1, temp.data(), 1, Ainv.data(), norb);
}
else
{
const int lda_Binv = Binv.cols();
// number of threads at the next level, forced to 1 if the problem is small.
const int num_threads = (norb < 256 ? 1 : getNextLevelNumThreads());
if (num_threads == 1 || BlasThreadingEnv::NestedThreadingSupported())
{
// threading depends on BLAS
BlasThreadingEnv knob(num_threads);
BLAS::gemm('T', 'N', delay_count, norb, norb, cone, U.data(), norb, Ainv.data(), norb, czero, tempMat.data(),
lda_Binv);
for (int i = 0; i < delay_count; i++)
tempMat(delay_list[i], i) -= cone;
BLAS::gemm('N', 'N', norb, delay_count, delay_count, cone, V.data(), norb, Binv.data(), lda_Binv, czero,
U.data(), norb);
BLAS::gemm('N', 'N', norb, norb, delay_count, -cone, U.data(), norb, tempMat.data(), lda_Binv, cone,
Ainv.data(), norb);
}
else
{
// manually threaded version of the above GEMM calls
#pragma omp parallel
{
const int block_size = getAlignedSize<T>((norb + num_threads - 1) / num_threads);
int num_block = (norb + block_size - 1) / block_size;
#pragma omp for
for (int ix = 0; ix < num_block; ix++)
{
int x_offset = ix * block_size;
BLAS::gemm('T', 'N', delay_count, std::min(norb - x_offset, block_size), norb, cone, U.data(), norb,
Ainv[x_offset], norb, czero, tempMat[x_offset], lda_Binv);
}
#pragma omp master
for (int i = 0; i < delay_count; i++)
tempMat(delay_list[i], i) -= cone;
#pragma omp for
for (int iy = 0; iy < num_block; iy++)
{
int y_offset = iy * block_size;
BLAS::gemm('N', 'N', std::min(norb - y_offset, block_size), delay_count, delay_count, cone,
V.data() + y_offset, norb, Binv.data(), lda_Binv, czero, U.data() + y_offset, norb);
}
#pragma omp for collapse(2) nowait
for (int iy = 0; iy < num_block; iy++)
for (int ix = 0; ix < num_block; ix++)
{
int x_offset = ix * block_size;
int y_offset = iy * block_size;
BLAS::gemm('N', 'N', std::min(norb - y_offset, block_size), std::min(norb - x_offset, block_size),
delay_count, -cone, U.data() + y_offset, norb, tempMat[x_offset], lda_Binv, cone,
Ainv[x_offset] + y_offset, norb);
}
}
}
}
delay_count = 0;
}
};
} // namespace qmcplusplus
#endif // QMCPLUSPLUS_DELAYED_UPDATE_H
|
sw3d_pluto.h | void sw3d_pluto(){
printf("pluto\n");
int t1, t2, t3, t4, t5, t6, t7, t8, t9, t10, t11, t12, t13, t14;
int lb, ub, lbp, ubp, lb2, ub2;
register int lbv, ubv;
/* Start of CLooG code */
if (N >= 1) {
for (t2=0;t2<=floord(N,8);t2++) {
lbp=max(0,ceild(16*t2-N,16));
ubp=min(floord(N,16),t2);
#pragma omp parallel for private(lbv,ubv,t5,t6,t7,t8,t9,t10,t11,t12,t13,t14)
for (t4=lbp;t4<=ubp;t4++) {
for (t6=0;t6<=floord(N,16);t6++) {
for (t7=max(1,16*t2-16*t4);t7<=min(N,16*t2-16*t4+15);t7++) {
for (t9=max(1,16*t4);t9<=min(N,16*t4+15);t9++) {
for (t11=max(1,16*t6);t11<=min(N,16*t6+15);t11++) {
m1[t7][t9][t11] = INT_MIN;;
for (t13=1;t13<=t7;t13++) {
m1[t7][t9][t11] = MAX(m1[t7][t9][t11] ,H[t7-t13][t9][t11] - 2*W[t13]);;
}
m2[t7][t9][t11] = INT_MIN;;
for (t13=1;t13<=t9;t13++) {
m2[t7][t9][t11] = MAX(m2[t7][t9][t11], H[t7][t9-t13][t11] - 2*W[t13]);;
}
m3[t7][t9][t11] = INT_MIN;;
for (t13=1;t13<=t11;t13++) {
m3[t7][t9][t11] = MAX(m3[t7][t9][t11], H[t7][t9][t11-t13] - 2*W[t13]);;
}
m4[t7][t9][t11] = INT_MIN;;
for (t13=1;t13<=min(t7,t9);t13++) {
m4[t7][t9][t11] = MAX(m4[t7][t9][t11], H[t7-t13][t9-t13][t11] - W[t13] + s(a[t7], b[t9]));;
}
m5[t7][t9][t11] = INT_MIN;;
for (t13=1;t13<=min(t11,t9);t13++) {
m5[t7][t9][t11] = MAX(m5[t7][t9][t11], H[t7][t9-t13][t11-t13] - W[t13] + s(b[t9], c[t11]));;
}
m6[t7][t9][t11] = INT_MIN;;
for (t13=1;t13<=min(t11,t7);t13++) {
m6[t7][t9][t11] = MAX(m6[t7][t9][t11], H[t7-t13][t9][t11-t13] - W[t13] + s(a[t7], c[t11]));;
}
H[t7][t9][t11] = MAX(0, MAX( H[t7-1][t9-1][t11-1] + s(a[t7], b[t9]) + s(a[t7], c[t11]) + s(b[t9], c[t11]), MAX(m1[t7][t9][t11], MAX(m2[t7][t9][t11], MAX(m3[t7][t9][t11], MAX(m4[t7][t9][t11], MAX(m5[t7][t9][t11], m6[t7][t9][t11])))))));;
}
}
}
}
}
}
}
/* End of CLooG code */
} |
GB_unaryop__lnot_int32_uint32.c | //------------------------------------------------------------------------------
// GB_unaryop: hard-coded functions for each built-in unary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2019, All Rights Reserved.
// http://suitesparse.com See GraphBLAS/Doc/License.txt for license.
//------------------------------------------------------------------------------
// If this file is in the Generated/ folder, do not edit it (auto-generated).
#include "GB.h"
#ifndef GBCOMPACT
#include "GB_control.h"
#include "GB_iterator.h"
#include "GB_unaryop__include.h"
// C=unop(A) is defined by the following types and operators:
// op(A) function: GB_unop__lnot_int32_uint32
// op(A') function: GB_tran__lnot_int32_uint32
// C type: int32_t
// A type: uint32_t
// cast: int32_t cij = (int32_t) aij
// unaryop: cij = !(aij != 0)
#define GB_ATYPE \
uint32_t
#define GB_CTYPE \
int32_t
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA) \
uint32_t aij = Ax [pA]
#define GB_CX(p) Cx [p]
// unary operator
#define GB_OP(z, x) \
z = !(x != 0) ;
// casting
#define GB_CASTING(z, x) \
int32_t z = (int32_t) x ;
// cij = op (cast (aij))
#define GB_CAST_OP(pC,pA) \
{ \
/* aij = Ax [pA] */ \
GB_GETA (aij, Ax, pA) ; \
/* Cx [pC] = op (cast (aij)) */ \
GB_CASTING (x, aij) ; \
GB_OP (GB_CX (pC), x) ; \
}
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_LNOT || GxB_NO_INT32 || GxB_NO_UINT32)
//------------------------------------------------------------------------------
// Cx = op (cast (Ax)): apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB_unop__lnot_int32_uint32
(
int32_t *restrict Cx,
const uint32_t *restrict Ax,
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (int64_t p = 0 ; p < anz ; p++)
{
GB_CAST_OP (p, p) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (cast (A')): transpose, typecast, and apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB_tran__lnot_int32_uint32
(
GrB_Matrix C,
const GrB_Matrix A,
int64_t *restrict *Rowcounts,
GBI_single_iterator Iter,
const int64_t *restrict A_slice,
int naslice
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#define GB_PHASE_2_OF_2
#include "GB_unaryop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
MPI.h | /**
* @file
* This file is part of SeisSol.
*
* @author Sebastian Rettenberger (sebastian.rettenberger AT tum.de, http://www5.in.tum.de/wiki/index.php/Sebastian_Rettenberger)
*
* @section LICENSE
* Copyright (c) 2015-2016, SeisSol Group
* All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions are met:
*
* 1. Redistributions of source code must retain the above copyright notice,
* this list of conditions and the following disclaimer.
*
* 2. Redistributions in binary form must reproduce the above copyright notice,
* this list of conditions and the following disclaimer in the documentation
* and/or other materials provided with the distribution.
*
* 3. Neither the name of the copyright holder nor the names of its
* contributors may be used to endorse or promote products derived from this
* software without specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
* AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
* IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
* ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE
* LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
* CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
* SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
* INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
* CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
* ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
* POSSIBILITY OF SUCH DAMAGE.
*
* @section DESCRIPTION
* MPI Wrapper
*/
#ifndef MPI_H
#define MPI_H
#ifndef USE_MPI
#include "MPIDummy.h"
#else // USE_MPI
#include <mpi.h>
#include "utils/logger.h"
#include "MPIBasic.h"
#ifdef ACL_DEVICE
#include <cstdlib>
#include <string>
#include <sstream>
#include <device.h>
#endif // ACL_DEVICE
#endif // USE_MPI
namespace seissol
{
#ifndef USE_MPI
typedef MPIDummy MPI;
#else // USE_MPI
/**
* MPI handling.
*
* Make sure only one instance of this class exists!
*/
class MPI : public MPIBasic
{
private:
MPI_Comm m_comm;
#ifdef ACL_DEVICE
int m_localRank{};
int m_localSize{};
int m_deviceId{};
#endif // ACL_DEVICE
private:
MPI()
: m_comm(MPI_COMM_NULL)
{ }
public:
~MPI()
{ }
#ifdef ACL_DEVICE
private:
/**
* @brief Reads and returns environment variables
*
* Some MPI vendors usually provides env. variables which allows to find out the local rank and size
* before calling MPI_Init(...). However, they tend to name these variables differently, i.e. uniquely
* for their implementation. Thus, the function take some potential candidates and loop through them and try
* to retrieve a value.
*
* @param candidates a vector of strings with names of possible env. variables
* @throws std::string in case if a value cannot get retrieved from a candidate list
* @throws std::invalid_argument in case if an env. variable doesn't contain an integer, e.g. char, string, etc.
* @throws std::out_of_range in case is an env. variable contains a value bigger that a size of integer
* */
static int readValueFromEnvVariables(std::vector<std::string> &candidates) {
char* valueStr = nullptr;
for (auto envVar: candidates) {
valueStr = std::getenv(envVar.c_str());
if (valueStr)
break;
}
if (!valueStr) {
std::stringstream stream;
stream << "could not detect any env. variable from a list of candidates, namely: ";
for (const auto& item: candidates) {
stream << item << ", ";
}
stream << ". Please, consider to use any other MPI implementation with an offloading support.";
logError() << stream.str();
}
return std::stoi(std::string(valueStr));
}
public:
/**
* @brief Inits Device(s).
*
* Some MPI implementations create a so-called context between GPUs and OS Processes inside of MPI_Init(...).
* It results in allocating some memory buffers in memory attached to the nearest NUMA domain
* of a core where a process is running. In case of somebody wants to bind a processes in a different way,
* e.g. move a process closer to a GPU, it must be done before calling MPI_Init(...) using env. variables
* or hwloc library.
*
* Currently, the function does a simple binding, i.e. a local rank controls the corresponding devices.
* For instance, localRank=2 is going to use deviceId=2. The user is responsible for the correct binding.
* She/he must refer to a documentation of their job scheduler or MPI implementation to achieve correct
* GPU/CPU affinity. Note, one can improve the current binding strategy using hwloc.
* See, Professional CUDA programming, subsection Affinity on MPI-CUDA Programs as a reference.
*
* The function supports the following MPI implementations: OpenMPI, MVAPICH2
* */
void bindRankToDevice() {
try {
std::vector<std::string> rankEnvVars{{"OMPI_COMM_WORLD_LOCAL_RANK"},
{"MV2_COMM_WORLD_LOCAL_RANK"},
{"SLURM_LOCALID"}};
std::vector<std::string> sizeEnvVars{{"OMPI_COMM_WORLD_LOCAL_SIZE"},
{"MV2_COMM_WORLD_LOCAL_SIZE"},
{"SLURM_NTASKS_PER_NODE"}};
m_localRank = readValueFromEnvVariables(rankEnvVars);
m_localSize = readValueFromEnvVariables(sizeEnvVars);
}
catch (const std::invalid_argument &err) {
logError() << err.what() << ". File: " << __FILE__ << ", line: " << __LINE__;
}
catch (const std::out_of_range& err) {
logError() << err.what() << ". File: " << __FILE__ << ", line: " << __LINE__;
}
device::DeviceInstance& device = device::DeviceInstance::getInstance();
int m_numDevices = device.api->getNumDevices();
if (m_localSize > m_numDevices) {
logError() << "Local mpi size (in a compute node) is greater than the number of avaliable devices."
<< "Over-subscription of devices is currently not supported in Seissol."
<< "Adjust num. local mpi rank and num. local devices.\n"
<< "File: " << __FILE__ << ", line: " << __LINE__;
}
m_deviceId = m_localRank;
#ifdef _OPENMP
#pragma omp parallel
{
#pragma omp critical
{
device.api->setDevice(m_deviceId);
}
}
#else
device.api->setDevice(m_deviceId);
#endif
}
int getDeviceID() { return m_deviceId; }
#endif // ACL_DEVICE
/**
* Initialize MPI
*/
void init(int &argc, char** &argv)
{
int required = (m_threadsafe ? MPI_THREAD_MULTIPLE : MPI_THREAD_SINGLE);
int provided;
MPI_Init_thread(&argc, &argv, required, &provided);
setComm(MPI_COMM_WORLD);
// Test this after setComm() to get the correct m_rank
if (required < provided)
logWarning(m_rank) << utils::nospace << "Required MPI thread support (" << required
<< ") is smaller than provided thread support (" << provided << ").";
}
void setComm(MPI_Comm comm)
{
m_comm = comm;
MPI_Comm_rank(comm, &m_rank);
MPI_Comm_size(comm, &m_size);
}
/**
* @return The main communicator for the application
*/
MPI_Comm comm() const
{
return m_comm;
}
void barrier(MPI_Comm comm) const
{
MPI_Barrier(comm);
}
/**
* Finalize MPI
*/
void finalize()
{
fault.finalize();
MPI_Finalize();
}
public:
/** The only instance of the class */
static MPI mpi;
};
#endif // USE_MPI
}
#endif // MPI_H
|
JeeIOrbitalSoA.h | //////////////////////////////////////////////////////////////////////////////////////
// This file is distributed under the University of Illinois/NCSA Open Source License.
// See LICENSE file in top directory for details.
//
// Copyright (c) 2016 Jeongnim Kim and QMCPACK developers.
//
// File developed by: Ye Luo, yeluo@anl.gov, Argonne National Laboratory
//
// File created by: Ye Luo, yeluo@anl.gov, Argonne National Laboratory
//////////////////////////////////////////////////////////////////////////////////////
#ifndef QMCPLUSPLUS_EEIJASTROW_OPTIMIZED_SOA_H
#define QMCPLUSPLUS_EEIJASTROW_OPTIMIZED_SOA_H
#include "Configuration.h"
#if !defined(QMC_BUILD_SANDBOX_ONLY)
#include "QMCWaveFunctions/WaveFunctionComponent.h"
#endif
#include "Particle/DistanceTableData.h"
#include "CPU/SIMD/aligned_allocator.hpp"
#include "CPU/SIMD/algorithm.hpp"
#include <map>
#include <numeric>
namespace qmcplusplus
{
/** @ingroup WaveFunctionComponent
* @brief Specialization for three-body Jastrow function using multiple functors
*
*Each pair-type can have distinct function \f$u(r_{ij})\f$.
*For electrons, distinct pair correlation functions are used
*for spins up-up/down-down and up-down/down-up.
*/
template<class FT>
class JeeIOrbitalSoA : public WaveFunctionComponent
{
///type of each component U, dU, d2U;
using valT = typename FT::real_type;
///element position type
using posT = TinyVector<valT, OHMMS_DIM>;
///use the same container
using DistRow = DistanceTableData::DistRow;
using DisplRow = DistanceTableData::DisplRow;
///table index for el-el
const int ee_Table_ID_;
///table index for i-el
const int ei_Table_ID_;
//nuber of particles
int Nelec, Nion;
///number of particles + padded
size_t Nelec_padded;
//number of groups of the target particleset
int eGroups, iGroups;
///reference to the sources (ions)
const ParticleSet& Ions;
///diff value
RealType DiffVal;
///\f$Uat[i] = sum_(j) u_{i,j}\f$
Vector<valT> Uat, oldUk, newUk;
///\f$dUat[i] = sum_(j) du_{i,j}\f$
using gContainer_type = VectorSoaContainer<valT, OHMMS_DIM>;
gContainer_type dUat, olddUk, newdUk;
///\f$d2Uat[i] = sum_(j) d2u_{i,j}\f$
Vector<valT> d2Uat, oldd2Uk, newd2Uk;
/// current values during PbyP
valT cur_Uat, cur_d2Uat;
posT cur_dUat, dUat_temp;
///container for the Jastrow functions
Array<FT*, 3> F;
std::map<std::string, FT*> J3Unique;
//YYYY
std::map<FT*, int> J3UniqueIndex;
/// the cutoff for e-I pairs
std::vector<valT> Ion_cutoff;
/// the electrons around ions within the cutoff radius, grouped by species
Array<std::vector<int>, 2> elecs_inside;
Array<std::vector<valT>, 2> elecs_inside_dist;
Array<std::vector<posT>, 2> elecs_inside_displ;
/// the ids of ions within the cutoff radius of an electron on which a move is proposed
std::vector<int> ions_nearby_old, ions_nearby_new;
/// work buffer size
size_t Nbuffer;
/// compressed distances
aligned_vector<valT> Distjk_Compressed, DistkI_Compressed, DistjI_Compressed;
std::vector<int> DistIndice_k;
/// compressed displacements
gContainer_type Disp_jk_Compressed, Disp_jI_Compressed, Disp_kI_Compressed;
/// work result buffer
VectorSoaContainer<valT, 9> mVGL;
// Used for evaluating derivatives with respect to the parameters
int NumVars;
Array<std::pair<int, int>, 3> VarOffset;
Vector<RealType> dLogPsi;
Array<PosType, 2> gradLogPsi;
Array<RealType, 2> lapLogPsi;
// Temporary store for parameter derivatives of functor
// The first index is the functor index in J3Unique. The second is the parameter index w.r.t. to that
// functor
std::vector<std::vector<RealType>> du_dalpha;
std::vector<std::vector<PosType>> dgrad_dalpha;
std::vector<std::vector<Tensor<RealType, 3>>> dhess_dalpha;
public:
///alias FuncType
using FuncType = FT;
JeeIOrbitalSoA(const std::string& obj_name, const ParticleSet& ions, ParticleSet& elecs, bool is_master = false)
: WaveFunctionComponent("JeeIOrbitalSoA", obj_name),
ee_Table_ID_(elecs.addTable(elecs)),
ei_Table_ID_(elecs.addTable(ions, true)),
Ions(ions),
NumVars(0)
{
if (myName.empty())
throw std::runtime_error("JeeIOrbitalSoA object name cannot be empty!");
init(elecs);
}
~JeeIOrbitalSoA() {}
WaveFunctionComponentPtr makeClone(ParticleSet& elecs) const
{
JeeIOrbitalSoA<FT>* eeIcopy = new JeeIOrbitalSoA<FT>(myName, Ions, elecs, false);
std::map<const FT*, FT*> fcmap;
for (int iG = 0; iG < iGroups; iG++)
for (int eG1 = 0; eG1 < eGroups; eG1++)
for (int eG2 = 0; eG2 < eGroups; eG2++)
{
if (F(iG, eG1, eG2) == 0)
continue;
typename std::map<const FT*, FT*>::iterator fit = fcmap.find(F(iG, eG1, eG2));
if (fit == fcmap.end())
{
FT* fc = new FT(*F(iG, eG1, eG2));
eeIcopy->addFunc(iG, eG1, eG2, fc);
fcmap[F(iG, eG1, eG2)] = fc;
}
}
// Ye: I don't like the following memory allocated by default.
eeIcopy->myVars.clear();
eeIcopy->myVars.insertFrom(myVars);
eeIcopy->NumVars = NumVars;
eeIcopy->dLogPsi.resize(NumVars);
eeIcopy->gradLogPsi.resize(NumVars, Nelec);
eeIcopy->lapLogPsi.resize(NumVars, Nelec);
eeIcopy->VarOffset = VarOffset;
eeIcopy->Optimizable = Optimizable;
return eeIcopy;
}
void init(ParticleSet& p)
{
Nelec = p.getTotalNum();
Nelec_padded = getAlignedSize<valT>(Nelec);
Nion = Ions.getTotalNum();
iGroups = Ions.getSpeciesSet().getTotalNum();
eGroups = p.groups();
Uat.resize(Nelec);
dUat.resize(Nelec);
d2Uat.resize(Nelec);
oldUk.resize(Nelec);
olddUk.resize(Nelec);
oldd2Uk.resize(Nelec);
newUk.resize(Nelec);
newdUk.resize(Nelec);
newd2Uk.resize(Nelec);
F.resize(iGroups, eGroups, eGroups);
F = nullptr;
elecs_inside.resize(eGroups, Nion);
elecs_inside_dist.resize(eGroups, Nion);
elecs_inside_displ.resize(eGroups, Nion);
ions_nearby_old.resize(Nion);
ions_nearby_new.resize(Nion);
Ion_cutoff.resize(Nion, 0.0);
//initialize buffers
Nbuffer = Nelec;
mVGL.resize(Nbuffer);
Distjk_Compressed.resize(Nbuffer);
DistjI_Compressed.resize(Nbuffer);
DistkI_Compressed.resize(Nbuffer);
Disp_jk_Compressed.resize(Nbuffer);
Disp_jI_Compressed.resize(Nbuffer);
Disp_kI_Compressed.resize(Nbuffer);
DistIndice_k.resize(Nbuffer);
}
void initUnique()
{
typename std::map<std::string, FT*>::iterator it(J3Unique.begin()), it_end(J3Unique.end());
du_dalpha.resize(J3Unique.size());
dgrad_dalpha.resize(J3Unique.size());
dhess_dalpha.resize(J3Unique.size());
int ifunc = 0;
while (it != it_end)
{
J3UniqueIndex[it->second] = ifunc;
FT& functor = *(it->second);
int numParams = functor.getNumParameters();
du_dalpha[ifunc].resize(numParams);
dgrad_dalpha[ifunc].resize(numParams);
dhess_dalpha[ifunc].resize(numParams);
++it;
ifunc++;
}
}
void addFunc(int iSpecies, int eSpecies1, int eSpecies2, FT* j)
{
if (eSpecies1 == eSpecies2)
{
//if only up-up is specified, assume spin-unpolarized correlations
if (eSpecies1 == 0)
for (int eG1 = 0; eG1 < eGroups; eG1++)
for (int eG2 = 0; eG2 < eGroups; eG2++)
{
if (F(iSpecies, eG1, eG2) == 0)
F(iSpecies, eG1, eG2) = j;
}
}
else
{
F(iSpecies, eSpecies1, eSpecies2) = j;
F(iSpecies, eSpecies2, eSpecies1) = j;
}
if (j)
{
RealType rcut = 0.5 * j->cutoff_radius;
for (int i = 0; i < Nion; i++)
if (Ions.GroupID[i] == iSpecies)
Ion_cutoff[i] = rcut;
}
else
{
APP_ABORT("JeeIOrbitalSoA::addFunc Jastrow function pointer is NULL");
}
std::stringstream aname;
aname << iSpecies << "_" << eSpecies1 << "_" << eSpecies2;
J3Unique[aname.str()] = j;
initUnique();
}
/** check that correlation information is complete
*/
void check_complete()
{
//check that correlation pointers are either all 0 or all assigned
bool complete = true;
for (int i = 0; i < iGroups; ++i)
{
int nfilled = 0;
bool partial;
for (int e1 = 0; e1 < eGroups; ++e1)
for (int e2 = 0; e2 < eGroups; ++e2)
if (F(i, e1, e2) != 0)
nfilled++;
partial = nfilled > 0 && nfilled < eGroups * eGroups;
if (partial)
app_log() << "J3 eeI is missing correlation for ion " << i << std::endl;
complete = complete && !partial;
}
if (!complete)
{
APP_ABORT("JeeIOrbitalSoA::check_complete J3 eeI is missing correlation components\n see preceding messages "
"for details");
}
//first set radii
for (int i = 0; i < Nion; ++i)
{
FT* f = F(Ions.GroupID[i], 0, 0);
if (f != 0)
Ion_cutoff[i] = .5 * f->cutoff_radius;
}
//then check radii
bool all_radii_match = true;
for (int i = 0; i < iGroups; ++i)
{
if (F(i, 0, 0) != 0)
{
bool radii_match = true;
RealType rcut = F(i, 0, 0)->cutoff_radius;
for (int e1 = 0; e1 < eGroups; ++e1)
for (int e2 = 0; e2 < eGroups; ++e2)
radii_match = radii_match && F(i, e1, e2)->cutoff_radius == rcut;
if (!radii_match)
app_log() << "eeI functors for ion species " << i << " have different radii" << std::endl;
all_radii_match = all_radii_match && radii_match;
}
}
if (!all_radii_match)
{
APP_ABORT("JeeIOrbitalSoA::check_radii J3 eeI are inconsistent for some ion species\n see preceding messages "
"for details");
}
}
/** check in an optimizable parameter
* @param o a super set of optimizable variables
*/
void checkInVariables(opt_variables_type& active)
{
myVars.clear();
typename std::map<std::string, FT*>::iterator it(J3Unique.begin()), it_end(J3Unique.end());
while (it != it_end)
{
(*it).second->checkInVariables(active);
(*it).second->checkInVariables(myVars);
++it;
}
}
/** check out optimizable variables
*/
void checkOutVariables(const opt_variables_type& active)
{
myVars.clear();
typename std::map<std::string, FT*>::iterator it(J3Unique.begin()), it_end(J3Unique.end());
while (it != it_end)
{
(*it).second->myVars.getIndex(active);
myVars.insertFrom((*it).second->myVars);
++it;
}
myVars.getIndex(active);
NumVars = myVars.size();
if (NumVars)
{
dLogPsi.resize(NumVars);
gradLogPsi.resize(NumVars, Nelec);
lapLogPsi.resize(NumVars, Nelec);
VarOffset.resize(iGroups, eGroups, eGroups);
int varoffset = myVars.Index[0];
for (int ig = 0; ig < iGroups; ig++)
for (int jg = 0; jg < eGroups; jg++)
for (int kg = 0; kg < eGroups; kg++)
{
FT* func_ijk = F(ig, jg, kg);
if (func_ijk == nullptr)
continue;
VarOffset(ig, jg, kg).first = func_ijk->myVars.Index.front() - varoffset;
VarOffset(ig, jg, kg).second = func_ijk->myVars.Index.size() + VarOffset(ig, jg, kg).first;
}
}
}
///reset the value of all the unique Two-Body Jastrow functions
void resetParameters(const opt_variables_type& active)
{
if (!Optimizable)
return;
typename std::map<std::string, FT*>::iterator it(J3Unique.begin()), it_end(J3Unique.end());
while (it != it_end)
{
(*it++).second->resetParameters(active);
}
for (int i = 0; i < myVars.size(); ++i)
{
int ii = myVars.Index[i];
if (ii >= 0)
myVars[i] = active[ii];
}
}
/** print the state, e.g., optimizables */
void reportStatus(std::ostream& os)
{
typename std::map<std::string, FT*>::iterator it(J3Unique.begin()), it_end(J3Unique.end());
while (it != it_end)
{
(*it).second->myVars.print(os);
++it;
}
}
void build_compact_list(ParticleSet& P)
{
const auto& eI_dists = P.getDistTable(ei_Table_ID_).getDistances();
const auto& eI_displs = P.getDistTable(ei_Table_ID_).getDisplacements();
for (int iat = 0; iat < Nion; ++iat)
for (int jg = 0; jg < eGroups; ++jg)
{
elecs_inside(jg, iat).clear();
elecs_inside_dist(jg, iat).clear();
elecs_inside_displ(jg, iat).clear();
}
for (int jg = 0; jg < eGroups; ++jg)
for (int jel = P.first(jg); jel < P.last(jg); jel++)
for (int iat = 0; iat < Nion; ++iat)
if (eI_dists[jel][iat] < Ion_cutoff[iat])
{
elecs_inside(jg, iat).push_back(jel);
elecs_inside_dist(jg, iat).push_back(eI_dists[jel][iat]);
elecs_inside_displ(jg, iat).push_back(eI_displs[jel][iat]);
}
}
LogValueType evaluateLog(ParticleSet& P, ParticleSet::ParticleGradient_t& G, ParticleSet::ParticleLaplacian_t& L)
{
return evaluateGL(P, G, L, true);
}
PsiValueType ratio(ParticleSet& P, int iat)
{
UpdateMode = ORB_PBYP_RATIO;
const DistanceTableData& eI_table = P.getDistTable(ei_Table_ID_);
const DistanceTableData& ee_table = P.getDistTable(ee_Table_ID_);
cur_Uat = computeU(P, iat, P.GroupID[iat], eI_table.getTempDists(), ee_table.getTempDists(), ions_nearby_new);
DiffVal = Uat[iat] - cur_Uat;
return std::exp(static_cast<PsiValueType>(DiffVal));
}
void evaluateRatios(const VirtualParticleSet& VP, std::vector<ValueType>& ratios)
{
for (int k = 0; k < ratios.size(); ++k)
ratios[k] = std::exp(Uat[VP.refPtcl] -
computeU(VP.refPS, VP.refPtcl, VP.refPS.GroupID[VP.refPtcl],
VP.getDistTable(ei_Table_ID_).getDistRow(k),
VP.getDistTable(ee_Table_ID_).getDistRow(k), ions_nearby_old));
}
void evaluateRatiosAlltoOne(ParticleSet& P, std::vector<ValueType>& ratios)
{
const DistanceTableData& eI_table = P.getDistTable(ei_Table_ID_);
const auto& eI_dists = eI_table.getDistances();
const DistanceTableData& ee_table = P.getDistTable(ee_Table_ID_);
for (int jg = 0; jg < eGroups; ++jg)
{
const valT sumU = computeU(P, -1, jg, eI_table.getTempDists(), ee_table.getTempDists(), ions_nearby_new);
for (int j = P.first(jg); j < P.last(jg); ++j)
{
// remove self-interaction
valT Uself(0);
for (int iat = 0; iat < Nion; ++iat)
{
const valT& r_Ij = eI_table.getTempDists()[iat];
const valT& r_Ik = eI_dists[j][iat];
if (r_Ij < Ion_cutoff[iat] && r_Ik < Ion_cutoff[iat])
{
const int ig = Ions.GroupID[iat];
Uself += F(ig, jg, jg)->evaluate(ee_table.getTempDists()[j], r_Ij, r_Ik);
}
}
ratios[j] = std::exp(Uat[j] + Uself - sumU);
}
}
}
GradType evalGrad(ParticleSet& P, int iat) { return GradType(dUat[iat]); }
PsiValueType ratioGrad(ParticleSet& P, int iat, GradType& grad_iat)
{
UpdateMode = ORB_PBYP_PARTIAL;
const DistanceTableData& eI_table = P.getDistTable(ei_Table_ID_);
const DistanceTableData& ee_table = P.getDistTable(ee_Table_ID_);
computeU3(P, iat, eI_table.getTempDists(), eI_table.getTempDispls(), ee_table.getTempDists(),
ee_table.getTempDispls(), cur_Uat, cur_dUat, cur_d2Uat, newUk, newdUk, newd2Uk, ions_nearby_new);
DiffVal = Uat[iat] - cur_Uat;
grad_iat += cur_dUat;
return std::exp(static_cast<PsiValueType>(DiffVal));
}
inline void restore(int iat) {}
void acceptMove(ParticleSet& P, int iat, bool safe_to_delay = false)
{
const DistanceTableData& eI_table = P.getDistTable(ei_Table_ID_);
const DistanceTableData& ee_table = P.getDistTable(ee_Table_ID_);
// get the old value, grad, lapl
computeU3(P, iat, eI_table.getDistRow(iat), eI_table.getDisplRow(iat), ee_table.getOldDists(),
ee_table.getOldDispls(), Uat[iat], dUat_temp, d2Uat[iat], oldUk, olddUk, oldd2Uk, ions_nearby_old);
if (UpdateMode == ORB_PBYP_RATIO)
{ //ratio-only during the move; need to compute derivatives
computeU3(P, iat, eI_table.getTempDists(), eI_table.getTempDispls(), ee_table.getTempDists(),
ee_table.getTempDispls(), cur_Uat, cur_dUat, cur_d2Uat, newUk, newdUk, newd2Uk, ions_nearby_new);
}
#pragma omp simd
for (int jel = 0; jel < Nelec; jel++)
{
Uat[jel] += newUk[jel] - oldUk[jel];
d2Uat[jel] += newd2Uk[jel] - oldd2Uk[jel];
}
for (int idim = 0; idim < OHMMS_DIM; ++idim)
{
valT* restrict save_g = dUat.data(idim);
const valT* restrict new_g = newdUk.data(idim);
const valT* restrict old_g = olddUk.data(idim);
#pragma omp simd aligned(save_g, new_g, old_g)
for (int jel = 0; jel < Nelec; jel++)
save_g[jel] += new_g[jel] - old_g[jel];
}
LogValue += Uat[iat] - cur_Uat;
Uat[iat] = cur_Uat;
dUat(iat) = cur_dUat;
d2Uat[iat] = cur_d2Uat;
const int ig = P.GroupID[iat];
// update compact list elecs_inside
// if the old position exists in elecs_inside
for (int iind = 0; iind < ions_nearby_old.size(); iind++)
{
int jat = ions_nearby_old[iind];
auto iter = std::find(elecs_inside(ig, jat).begin(), elecs_inside(ig, jat).end(), iat);
auto iter_dist = elecs_inside_dist(ig, jat).begin() + std::distance(elecs_inside(ig, jat).begin(), iter);
auto iter_displ = elecs_inside_displ(ig, jat).begin() + std::distance(elecs_inside(ig, jat).begin(), iter);
// sentinel code
#ifndef NDEBUG
if (iter == elecs_inside(ig, jat).end())
{
std::cerr << std::setprecision(std::numeric_limits<valT>::digits10 + 1) << "updating electron iat = " << iat
<< " near ion " << jat << " dist " << eI_table.getDistRow(iat)[jat] << std::endl;
throw std::runtime_error("BUG electron not found in elecs_inside");
}
else if (std::abs(eI_table.getDistRow(iat)[jat] - *iter_dist) >= std::numeric_limits<valT>::epsilon())
{
std::cerr << std::setprecision(std::numeric_limits<valT>::digits10 + 1) << "inconsistent electron iat = " << iat
<< " near ion " << jat << " dist " << eI_table.getDistRow(iat)[jat]
<< " stored value = " << *iter_dist << std::endl;
throw std::runtime_error("BUG eI distance stored value elecs_inside_dist not matching distance table");
}
#endif
if (eI_table.getTempDists()[jat] < Ion_cutoff[jat]) // the new position is still inside
{
*iter_dist = eI_table.getTempDists()[jat];
*iter_displ = eI_table.getTempDispls()[jat];
*std::find(ions_nearby_new.begin(), ions_nearby_new.end(), jat) = -1;
}
else
{
*iter = elecs_inside(ig, jat).back();
elecs_inside(ig, jat).pop_back();
*iter_dist = elecs_inside_dist(ig, jat).back();
elecs_inside_dist(ig, jat).pop_back();
*iter_displ = elecs_inside_displ(ig, jat).back();
elecs_inside_displ(ig, jat).pop_back();
}
}
// if the old position doesn't exist in elecs_inside but the new position do
for (int iind = 0; iind < ions_nearby_new.size(); iind++)
{
int jat = ions_nearby_new[iind];
if (jat >= 0)
{
elecs_inside(ig, jat).push_back(iat);
elecs_inside_dist(ig, jat).push_back(eI_table.getTempDists()[jat]);
elecs_inside_displ(ig, jat).push_back(eI_table.getTempDispls()[jat]);
}
}
}
inline void recompute(ParticleSet& P)
{
const DistanceTableData& eI_table = P.getDistTable(ei_Table_ID_);
const DistanceTableData& ee_table = P.getDistTable(ee_Table_ID_);
build_compact_list(P);
for (int jel = 0; jel < Nelec; ++jel)
{
computeU3(P, jel, eI_table.getDistRow(jel), eI_table.getDisplRow(jel), ee_table.getDistRow(jel),
ee_table.getDisplRow(jel), Uat[jel], dUat_temp, d2Uat[jel], newUk, newdUk, newd2Uk, ions_nearby_new,
true);
dUat(jel) = dUat_temp;
// add the contribution from the upper triangle
#pragma omp simd
for (int kel = 0; kel < jel; kel++)
{
Uat[kel] += newUk[kel];
d2Uat[kel] += newd2Uk[kel];
}
for (int idim = 0; idim < OHMMS_DIM; ++idim)
{
valT* restrict save_g = dUat.data(idim);
const valT* restrict new_g = newdUk.data(idim);
#pragma omp simd aligned(save_g, new_g)
for (int kel = 0; kel < jel; kel++)
save_g[kel] += new_g[kel];
}
}
}
inline valT computeU(const ParticleSet& P,
int jel,
int jg,
const DistRow& distjI,
const DistRow& distjk,
std::vector<int>& ions_nearby)
{
ions_nearby.clear();
for (int iat = 0; iat < Nion; ++iat)
if (distjI[iat] < Ion_cutoff[iat])
ions_nearby.push_back(iat);
valT Uj = valT(0);
for (int kg = 0; kg < eGroups; ++kg)
{
int kel_counter = 0;
for (int iind = 0; iind < ions_nearby.size(); ++iind)
{
const int iat = ions_nearby[iind];
const int ig = Ions.GroupID[iat];
const valT r_jI = distjI[iat];
for (int kind = 0; kind < elecs_inside(kg, iat).size(); kind++)
{
const int kel = elecs_inside(kg, iat)[kind];
if (kel != jel)
{
DistkI_Compressed[kel_counter] = elecs_inside_dist(kg, iat)[kind];
Distjk_Compressed[kel_counter] = distjk[kel];
DistjI_Compressed[kel_counter] = r_jI;
kel_counter++;
if (kel_counter == Nbuffer)
{
const FT& feeI(*F(ig, jg, kg));
Uj += feeI.evaluateV(kel_counter, Distjk_Compressed.data(), DistjI_Compressed.data(),
DistkI_Compressed.data());
kel_counter = 0;
}
}
}
if ((iind + 1 == ions_nearby.size() || ig != Ions.GroupID[ions_nearby[iind + 1]]) && kel_counter > 0)
{
const FT& feeI(*F(ig, jg, kg));
Uj +=
feeI.evaluateV(kel_counter, Distjk_Compressed.data(), DistjI_Compressed.data(), DistkI_Compressed.data());
kel_counter = 0;
}
}
}
return Uj;
}
inline void computeU3_engine(const ParticleSet& P,
const FT& feeI,
int kel_counter,
valT& Uj,
posT& dUj,
valT& d2Uj,
Vector<valT>& Uk,
gContainer_type& dUk,
Vector<valT>& d2Uk)
{
constexpr valT czero(0);
constexpr valT cone(1);
constexpr valT ctwo(2);
constexpr valT lapfac = OHMMS_DIM - cone;
valT* restrict val = mVGL.data(0);
valT* restrict gradF0 = mVGL.data(1);
valT* restrict gradF1 = mVGL.data(2);
valT* restrict gradF2 = mVGL.data(3);
valT* restrict hessF00 = mVGL.data(4);
valT* restrict hessF11 = mVGL.data(5);
valT* restrict hessF22 = mVGL.data(6);
valT* restrict hessF01 = mVGL.data(7);
valT* restrict hessF02 = mVGL.data(8);
feeI.evaluateVGL(kel_counter, Distjk_Compressed.data(), DistjI_Compressed.data(), DistkI_Compressed.data(), val,
gradF0, gradF1, gradF2, hessF00, hessF11, hessF22, hessF01, hessF02);
// compute the contribution to jel, kel
Uj = simd::accumulate_n(val, kel_counter, Uj);
valT gradF0_sum = simd::accumulate_n(gradF0, kel_counter, czero);
valT gradF1_sum = simd::accumulate_n(gradF1, kel_counter, czero);
valT hessF00_sum = simd::accumulate_n(hessF00, kel_counter, czero);
valT hessF11_sum = simd::accumulate_n(hessF11, kel_counter, czero);
d2Uj -= hessF00_sum + hessF11_sum + lapfac * (gradF0_sum + gradF1_sum);
std::fill_n(hessF11, kel_counter, czero);
for (int idim = 0; idim < OHMMS_DIM; ++idim)
{
valT* restrict jk = Disp_jk_Compressed.data(idim);
valT* restrict jI = Disp_jI_Compressed.data(idim);
valT* restrict kI = Disp_kI_Compressed.data(idim);
valT dUj_x(0);
#pragma omp simd aligned(gradF0, gradF1, gradF2, hessF11, jk, jI, kI) reduction(+ : dUj_x)
for (int kel_index = 0; kel_index < kel_counter; kel_index++)
{
// recycle hessF11
hessF11[kel_index] += kI[kel_index] * jk[kel_index];
dUj_x += gradF1[kel_index] * jI[kel_index];
// destroy jk, kI
const valT temp = jk[kel_index] * gradF0[kel_index];
dUj_x += temp;
jk[kel_index] *= jI[kel_index];
kI[kel_index] = kI[kel_index] * gradF2[kel_index] - temp;
}
dUj[idim] += dUj_x;
valT* restrict jk0 = Disp_jk_Compressed.data(0);
if (idim > 0)
{
#pragma omp simd aligned(jk, jk0)
for (int kel_index = 0; kel_index < kel_counter; kel_index++)
jk0[kel_index] += jk[kel_index];
}
valT* restrict dUk_x = dUk.data(idim);
for (int kel_index = 0; kel_index < kel_counter; kel_index++)
dUk_x[DistIndice_k[kel_index]] += kI[kel_index];
}
valT sum(0);
valT* restrict jk0 = Disp_jk_Compressed.data(0);
#pragma omp simd aligned(jk0, hessF01) reduction(+ : sum)
for (int kel_index = 0; kel_index < kel_counter; kel_index++)
sum += hessF01[kel_index] * jk0[kel_index];
d2Uj -= ctwo * sum;
#pragma omp simd aligned(hessF00, hessF22, gradF0, gradF2, hessF02, hessF11)
for (int kel_index = 0; kel_index < kel_counter; kel_index++)
hessF00[kel_index] = hessF00[kel_index] + hessF22[kel_index] + lapfac * (gradF0[kel_index] + gradF2[kel_index]) -
ctwo * hessF02[kel_index] * hessF11[kel_index];
for (int kel_index = 0; kel_index < kel_counter; kel_index++)
{
const int kel = DistIndice_k[kel_index];
Uk[kel] += val[kel_index];
d2Uk[kel] -= hessF00[kel_index];
}
}
inline void computeU3(const ParticleSet& P,
int jel,
const DistRow& distjI,
const DisplRow& displjI,
const DistRow& distjk,
const DisplRow& displjk,
valT& Uj,
posT& dUj,
valT& d2Uj,
Vector<valT>& Uk,
gContainer_type& dUk,
Vector<valT>& d2Uk,
std::vector<int>& ions_nearby,
bool triangle = false)
{
constexpr valT czero(0);
Uj = czero;
dUj = posT();
d2Uj = czero;
const int jg = P.GroupID[jel];
const int kelmax = triangle ? jel : Nelec;
std::fill_n(Uk.data(), kelmax, czero);
std::fill_n(d2Uk.data(), kelmax, czero);
for (int idim = 0; idim < OHMMS_DIM; ++idim)
std::fill_n(dUk.data(idim), kelmax, czero);
ions_nearby.clear();
for (int iat = 0; iat < Nion; ++iat)
if (distjI[iat] < Ion_cutoff[iat])
ions_nearby.push_back(iat);
for (int kg = 0; kg < eGroups; ++kg)
{
int kel_counter = 0;
for (int iind = 0; iind < ions_nearby.size(); ++iind)
{
const int iat = ions_nearby[iind];
const int ig = Ions.GroupID[iat];
const valT r_jI = distjI[iat];
const posT disp_Ij = displjI[iat];
for (int kind = 0; kind < elecs_inside(kg, iat).size(); kind++)
{
const int kel = elecs_inside(kg, iat)[kind];
if (kel < kelmax && kel != jel)
{
DistkI_Compressed[kel_counter] = elecs_inside_dist(kg, iat)[kind];
DistjI_Compressed[kel_counter] = r_jI;
Distjk_Compressed[kel_counter] = distjk[kel];
Disp_kI_Compressed(kel_counter) = elecs_inside_displ(kg, iat)[kind];
Disp_jI_Compressed(kel_counter) = disp_Ij;
Disp_jk_Compressed(kel_counter) = displjk[kel];
DistIndice_k[kel_counter] = kel;
kel_counter++;
if (kel_counter == Nbuffer)
{
const FT& feeI(*F(ig, jg, kg));
computeU3_engine(P, feeI, kel_counter, Uj, dUj, d2Uj, Uk, dUk, d2Uk);
kel_counter = 0;
}
}
}
if ((iind + 1 == ions_nearby.size() || ig != Ions.GroupID[ions_nearby[iind + 1]]) && kel_counter > 0)
{
const FT& feeI(*F(ig, jg, kg));
computeU3_engine(P, feeI, kel_counter, Uj, dUj, d2Uj, Uk, dUk, d2Uk);
kel_counter = 0;
}
}
}
}
inline void registerData(ParticleSet& P, WFBufferType& buf)
{
if (Bytes_in_WFBuffer == 0)
{
Bytes_in_WFBuffer = buf.current();
buf.add(Uat.begin(), Uat.end());
buf.add(dUat.data(), dUat.end());
buf.add(d2Uat.begin(), d2Uat.end());
Bytes_in_WFBuffer = buf.current() - Bytes_in_WFBuffer;
// free local space
Uat.free();
dUat.free();
d2Uat.free();
}
else
{
buf.forward(Bytes_in_WFBuffer);
}
}
inline LogValueType updateBuffer(ParticleSet& P, WFBufferType& buf, bool fromscratch = false)
{
evaluateGL(P, P.G, P.L, false);
buf.forward(Bytes_in_WFBuffer);
return LogValue;
}
inline void copyFromBuffer(ParticleSet& P, WFBufferType& buf)
{
Uat.attachReference(buf.lendReference<valT>(Nelec), Nelec);
dUat.attachReference(Nelec, Nelec_padded, buf.lendReference<valT>(Nelec_padded * OHMMS_DIM));
d2Uat.attachReference(buf.lendReference<valT>(Nelec), Nelec);
build_compact_list(P);
}
LogValueType evaluateGL(ParticleSet& P,
ParticleSet::ParticleGradient_t& G,
ParticleSet::ParticleLaplacian_t& L,
bool fromscratch = false)
{
if (fromscratch)
recompute(P);
LogValue = valT(0);
for (int iat = 0; iat < Nelec; ++iat)
{
LogValue += Uat[iat];
G[iat] += dUat[iat];
L[iat] += d2Uat[iat];
}
return LogValue = -LogValue * 0.5;
}
void evaluateDerivatives(ParticleSet& P,
const opt_variables_type& optvars,
std::vector<ValueType>& dlogpsi,
std::vector<ValueType>& dhpsioverpsi)
{
bool recalculate(false);
std::vector<bool> rcsingles(myVars.size(), false);
for (int k = 0; k < myVars.size(); ++k)
{
int kk = myVars.where(k);
if (kk < 0)
continue;
if (optvars.recompute(kk))
recalculate = true;
rcsingles[k] = true;
}
if (recalculate)
{
constexpr valT czero(0);
constexpr valT cone(1);
constexpr valT cminus(-1);
constexpr valT ctwo(2);
constexpr valT lapfac = OHMMS_DIM - cone;
const DistanceTableData& ee_table = P.getDistTable(ee_Table_ID_);
const auto& ee_dists = ee_table.getDistances();
const auto& ee_displs = ee_table.getDisplacements();
build_compact_list(P);
dLogPsi = czero;
gradLogPsi = PosType();
lapLogPsi = czero;
for (int iat = 0; iat < Nion; ++iat)
{
const int ig = Ions.GroupID[iat];
for (int jg = 0; jg < eGroups; ++jg)
for (int jind = 0; jind < elecs_inside(jg, iat).size(); jind++)
{
const int jel = elecs_inside(jg, iat)[jind];
const valT r_Ij = elecs_inside_dist(jg, iat)[jind];
const posT disp_Ij = cminus * elecs_inside_displ(jg, iat)[jind];
const valT r_Ij_inv = cone / r_Ij;
for (int kg = 0; kg < eGroups; ++kg)
for (int kind = 0; kind < elecs_inside(kg, iat).size(); kind++)
{
const int kel = elecs_inside(kg, iat)[kind];
if (kel < jel)
{
const valT r_Ik = elecs_inside_dist(kg, iat)[kind];
const posT disp_Ik = cminus * elecs_inside_displ(kg, iat)[kind];
const valT r_Ik_inv = cone / r_Ik;
const valT r_jk = ee_dists[jel][kel];
const posT disp_jk = ee_displs[jel][kel];
const valT r_jk_inv = cone / r_jk;
FT& func = *F(ig, jg, kg);
int idx = J3UniqueIndex[F(ig, jg, kg)];
func.evaluateDerivatives(r_jk, r_Ij, r_Ik, du_dalpha[idx], dgrad_dalpha[idx], dhess_dalpha[idx]);
int first = VarOffset(ig, jg, kg).first;
int last = VarOffset(ig, jg, kg).second;
std::vector<RealType>& dlog = du_dalpha[idx];
std::vector<PosType>& dgrad = dgrad_dalpha[idx];
std::vector<Tensor<RealType, 3>>& dhess = dhess_dalpha[idx];
for (int p = first, ip = 0; p < last; p++, ip++)
{
RealType& dval = dlog[ip];
PosType& dg = dgrad[ip];
Tensor<RealType, 3>& dh = dhess[ip];
dg[0] *= r_jk_inv;
dg[1] *= r_Ij_inv;
dg[2] *= r_Ik_inv;
PosType gr_ee = dg[0] * disp_jk;
gradLogPsi(p, jel) -= dg[1] * disp_Ij - gr_ee;
lapLogPsi(p, jel) -=
(dh(0, 0) + lapfac * dg[0] - ctwo * dh(0, 1) * dot(disp_jk, disp_Ij) * r_jk_inv * r_Ij_inv +
dh(1, 1) + lapfac * dg[1]);
gradLogPsi(p, kel) -= dg[2] * disp_Ik + gr_ee;
lapLogPsi(p, kel) -=
(dh(0, 0) + lapfac * dg[0] + ctwo * dh(0, 2) * dot(disp_jk, disp_Ik) * r_jk_inv * r_Ik_inv +
dh(2, 2) + lapfac * dg[2]);
dLogPsi[p] -= dval;
}
}
}
}
}
for (int k = 0; k < myVars.size(); ++k)
{
int kk = myVars.where(k);
if (kk < 0)
continue;
dlogpsi[kk] = (ValueType)dLogPsi[k];
RealType sum = 0.0;
for (int i = 0; i < Nelec; i++)
{
#if defined(QMC_COMPLEX)
sum -= 0.5 * lapLogPsi(k, i);
for (int jdim = 0; jdim < OHMMS_DIM; ++jdim)
sum -= P.G[i][jdim].real() * gradLogPsi(k, i)[jdim];
#else
sum -= 0.5 * lapLogPsi(k, i) + dot(P.G[i], gradLogPsi(k, i));
#endif
}
dhpsioverpsi[kk] = (ValueType)sum;
}
}
}
inline GradType evalGradSource(ParticleSet& P, ParticleSet& source, int isrc)
{
ParticleSet::ParticleGradient_t tempG;
ParticleSet::ParticleLaplacian_t tempL;
tempG.resize(P.getTotalNum());
tempL.resize(P.getTotalNum());
QTFull::RealType delta = 0.00001;
QTFull::RealType c1 = 1.0 / delta / 2.0;
QTFull::RealType c2 = 1.0 / delta / delta;
GradType g_return(0.0);
// GRAD TEST COMPUTATION
PosType rI = source.R[isrc];
for (int iondim = 0; iondim < 3; iondim++)
{
source.R[isrc][iondim] = rI[iondim] + delta;
source.update();
P.update();
LogValueType log_p = evaluateLog(P, tempG, tempL);
source.R[isrc][iondim] = rI[iondim] - delta;
source.update();
P.update();
LogValueType log_m = evaluateLog(P, tempG, tempL);
QTFull::RealType log_p_r(0.0), log_m_r(0.0);
log_p_r = log_p.real();
log_m_r = log_m.real();
//symmetric finite difference formula for gradient.
g_return[iondim] = c1 * (log_p_r - log_m_r);
//reset everything to how it was.
source.R[isrc][iondim] = rI[iondim];
}
// this last one makes sure the distance tables and internal neighbourlist correspond to unperturbed source.
source.update();
P.update();
build_compact_list(P);
return g_return;
}
inline GradType evalGradSource(ParticleSet& P,
ParticleSet& source,
int isrc,
TinyVector<ParticleSet::ParticleGradient_t, OHMMS_DIM>& grad_grad,
TinyVector<ParticleSet::ParticleLaplacian_t, OHMMS_DIM>& lapl_grad)
{
ParticleSet::ParticleGradient_t Gp, Gm, dG;
ParticleSet::ParticleLaplacian_t Lp, Lm, dL;
Gp.resize(P.getTotalNum());
Gm.resize(P.getTotalNum());
dG.resize(P.getTotalNum());
Lp.resize(P.getTotalNum());
Lm.resize(P.getTotalNum());
dL.resize(P.getTotalNum());
QTFull::RealType delta = 0.00001;
QTFull::RealType c1 = 1.0 / delta / 2.0;
QTFull::RealType c2 = 1.0 / delta / delta;
GradType g_return(0.0);
// GRAD TEST COMPUTATION
PosType rI = source.R[isrc];
for (int iondim = 0; iondim < 3; iondim++)
{
Lp = 0;
Gp = 0;
Lm = 0;
Gm = 0;
source.R[isrc][iondim] = rI[iondim] + delta;
source.update();
P.update();
LogValueType log_p = evaluateLog(P, Gp, Lp);
source.R[isrc][iondim] = rI[iondim] - delta;
source.update();
P.update();
LogValueType log_m = evaluateLog(P, Gm, Lm);
QTFull::RealType log_p_r(0.0), log_m_r(0.0);
log_p_r = log_p.real();
log_m_r = log_m.real();
dG = Gp - Gm;
dL = Lp - Lm;
//symmetric finite difference formula for gradient.
g_return[iondim] = c1 * (log_p_r - log_m_r);
grad_grad[iondim] += c1 * dG;
lapl_grad[iondim] += c1 * dL;
//reset everything to how it was.
source.R[isrc][iondim] = rI[iondim];
}
// this last one makes sure the distance tables and internal neighbourlist correspond to unperturbed source.
source.update();
P.update();
build_compact_list(P);
return g_return;
}
};
} // namespace qmcplusplus
#endif
|
cache.c | /*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% CCCC AAA CCCC H H EEEEE %
% C A A C H H E %
% C AAAAA C HHHHH EEE %
% C A A C H H E %
% CCCC A A CCCC H H EEEEE %
% %
% %
% MagickCore Pixel Cache Methods %
% %
% Software Design %
% Cristy %
% July 1999 %
% %
% %
% Copyright 1999-2020 ImageMagick Studio LLC, a non-profit organization %
% dedicated to making software imaging solutions freely available. %
% %
% You may not use this file except in compliance with the License. You may %
% obtain a copy of the License at %
% %
% https://imagemagick.org/script/license.php %
% %
% Unless required by applicable law or agreed to in writing, software %
% distributed under the License is distributed on an "AS IS" BASIS, %
% WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. %
% See the License for the specific language governing permissions and %
% limitations under the License. %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
%
%
*/
/*
Include declarations.
*/
#include "MagickCore/studio.h"
#include "MagickCore/blob.h"
#include "MagickCore/blob-private.h"
#include "MagickCore/cache.h"
#include "MagickCore/cache-private.h"
#include "MagickCore/color-private.h"
#include "MagickCore/colorspace-private.h"
#include "MagickCore/composite-private.h"
#include "MagickCore/distribute-cache-private.h"
#include "MagickCore/exception.h"
#include "MagickCore/exception-private.h"
#include "MagickCore/geometry.h"
#include "MagickCore/list.h"
#include "MagickCore/log.h"
#include "MagickCore/magick.h"
#include "MagickCore/memory_.h"
#include "MagickCore/memory-private.h"
#include "MagickCore/nt-base-private.h"
#include "MagickCore/option.h"
#include "MagickCore/pixel.h"
#include "MagickCore/pixel-accessor.h"
#include "MagickCore/policy.h"
#include "MagickCore/quantum.h"
#include "MagickCore/random_.h"
#include "MagickCore/registry.h"
#include "MagickCore/resource_.h"
#include "MagickCore/semaphore.h"
#include "MagickCore/splay-tree.h"
#include "MagickCore/string_.h"
#include "MagickCore/string-private.h"
#include "MagickCore/timer-private.h"
#include "MagickCore/thread-private.h"
#include "MagickCore/utility.h"
#include "MagickCore/utility-private.h"
#if defined(MAGICKCORE_ZLIB_DELEGATE)
#include "zlib.h"
#endif
/*
Define declarations.
*/
#define CacheTick(offset,extent) QuantumTick((MagickOffsetType) offset,extent)
#define IsFileDescriptorLimitExceeded() (GetMagickResource(FileResource) > \
GetMagickResourceLimit(FileResource) ? MagickTrue : MagickFalse)
/*
Typedef declarations.
*/
typedef struct _MagickModulo
{
ssize_t
quotient,
remainder;
} MagickModulo;
/*
Forward declarations.
*/
#if defined(__cplusplus) || defined(c_plusplus)
extern "C" {
#endif
static Cache
GetImagePixelCache(Image *,const MagickBooleanType,ExceptionInfo *)
magick_hot_spot;
static const Quantum
*GetVirtualPixelCache(const Image *,const VirtualPixelMethod,const ssize_t,
const ssize_t,const size_t,const size_t,ExceptionInfo *),
*GetVirtualPixelsCache(const Image *);
static const void
*GetVirtualMetacontentFromCache(const Image *);
static MagickBooleanType
GetOneAuthenticPixelFromCache(Image *,const ssize_t,const ssize_t,Quantum *,
ExceptionInfo *),
GetOneVirtualPixelFromCache(const Image *,const VirtualPixelMethod,
const ssize_t,const ssize_t,Quantum *,ExceptionInfo *),
OpenPixelCache(Image *,const MapMode,ExceptionInfo *),
OpenPixelCacheOnDisk(CacheInfo *,const MapMode),
ReadPixelCachePixels(CacheInfo *magick_restrict,NexusInfo *magick_restrict,
ExceptionInfo *),
ReadPixelCacheMetacontent(CacheInfo *magick_restrict,
NexusInfo *magick_restrict,ExceptionInfo *),
SyncAuthenticPixelsCache(Image *,ExceptionInfo *),
WritePixelCachePixels(CacheInfo *magick_restrict,NexusInfo *magick_restrict,
ExceptionInfo *),
WritePixelCacheMetacontent(CacheInfo *,NexusInfo *magick_restrict,
ExceptionInfo *);
static Quantum
*GetAuthenticPixelsCache(Image *,const ssize_t,const ssize_t,const size_t,
const size_t,ExceptionInfo *),
*QueueAuthenticPixelsCache(Image *,const ssize_t,const ssize_t,const size_t,
const size_t,ExceptionInfo *),
*SetPixelCacheNexusPixels(const CacheInfo *magick_restrict,const MapMode,
const ssize_t,const ssize_t,const size_t,const size_t,
const MagickBooleanType,NexusInfo *magick_restrict,ExceptionInfo *)
magick_hot_spot;
#if defined(MAGICKCORE_OPENCL_SUPPORT)
static void
CopyOpenCLBuffer(CacheInfo *magick_restrict);
#endif
#if defined(__cplusplus) || defined(c_plusplus)
}
#endif
/*
Global declarations.
*/
static SemaphoreInfo
*cache_semaphore = (SemaphoreInfo *) NULL;
static ssize_t
cache_anonymous_memory = (-1);
static time_t
cache_epoch = 0;
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ A c q u i r e P i x e l C a c h e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% AcquirePixelCache() acquires a pixel cache.
%
% The format of the AcquirePixelCache() method is:
%
% Cache AcquirePixelCache(const size_t number_threads)
%
% A description of each parameter follows:
%
% o number_threads: the number of nexus threads.
%
*/
MagickPrivate Cache AcquirePixelCache(const size_t number_threads)
{
CacheInfo
*magick_restrict cache_info;
char
*value;
cache_info=(CacheInfo *) AcquireAlignedMemory(1,sizeof(*cache_info));
if (cache_info == (CacheInfo *) NULL)
ThrowFatalException(ResourceLimitFatalError,"MemoryAllocationFailed");
(void) memset(cache_info,0,sizeof(*cache_info));
cache_info->type=UndefinedCache;
cache_info->mode=IOMode;
cache_info->disk_mode=IOMode;
cache_info->colorspace=sRGBColorspace;
cache_info->file=(-1);
cache_info->id=GetMagickThreadId();
cache_info->number_threads=number_threads;
if (GetOpenMPMaximumThreads() > cache_info->number_threads)
cache_info->number_threads=GetOpenMPMaximumThreads();
if (GetMagickResourceLimit(ThreadResource) > cache_info->number_threads)
cache_info->number_threads=(size_t) GetMagickResourceLimit(ThreadResource);
if (cache_info->number_threads == 0)
cache_info->number_threads=1;
cache_info->nexus_info=AcquirePixelCacheNexus(cache_info->number_threads);
if (cache_info->nexus_info == (NexusInfo **) NULL)
ThrowFatalException(ResourceLimitFatalError,"MemoryAllocationFailed");
value=GetEnvironmentValue("MAGICK_SYNCHRONIZE");
if (value != (const char *) NULL)
{
cache_info->synchronize=IsStringTrue(value);
value=DestroyString(value);
}
value=GetPolicyValue("cache:synchronize");
if (value != (const char *) NULL)
{
cache_info->synchronize=IsStringTrue(value);
value=DestroyString(value);
}
cache_info->width_limit=GetMagickResourceLimit(WidthResource);
cache_info->height_limit=GetMagickResourceLimit(HeightResource);
cache_info->semaphore=AcquireSemaphoreInfo();
cache_info->reference_count=1;
cache_info->file_semaphore=AcquireSemaphoreInfo();
cache_info->debug=IsEventLogging();
cache_info->signature=MagickCoreSignature;
return((Cache ) cache_info);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% A c q u i r e P i x e l C a c h e N e x u s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% AcquirePixelCacheNexus() allocates the NexusInfo structure.
%
% The format of the AcquirePixelCacheNexus method is:
%
% NexusInfo **AcquirePixelCacheNexus(const size_t number_threads)
%
% A description of each parameter follows:
%
% o number_threads: the number of nexus threads.
%
*/
MagickPrivate NexusInfo **AcquirePixelCacheNexus(const size_t number_threads)
{
NexusInfo
**magick_restrict nexus_info;
register ssize_t
i;
nexus_info=(NexusInfo **) MagickAssumeAligned(AcquireAlignedMemory(2*
number_threads,sizeof(*nexus_info)));
if (nexus_info == (NexusInfo **) NULL)
ThrowFatalException(ResourceLimitFatalError,"MemoryAllocationFailed");
*nexus_info=(NexusInfo *) AcquireQuantumMemory(2*number_threads,
sizeof(**nexus_info));
if (*nexus_info == (NexusInfo *) NULL)
ThrowFatalException(ResourceLimitFatalError,"MemoryAllocationFailed");
(void) memset(*nexus_info,0,2*number_threads*sizeof(**nexus_info));
for (i=0; i < (ssize_t) (2*number_threads); i++)
{
nexus_info[i]=(*nexus_info+i);
if (i < (ssize_t) number_threads)
nexus_info[i]->virtual_nexus=(*nexus_info+number_threads+i);
nexus_info[i]->signature=MagickCoreSignature;
}
return(nexus_info);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% A c q u i r e P i x e l C a c h e P i x e l s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% AcquirePixelCachePixels() returns the pixels associated with the specified
% image.
%
% The format of the AcquirePixelCachePixels() method is:
%
% void *AcquirePixelCachePixels(const Image *image,size_t *length,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o length: the pixel cache length.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport void *AcquirePixelCachePixels(const Image *image,size_t *length,
ExceptionInfo *exception)
{
CacheInfo
*magick_restrict cache_info;
assert(image != (const Image *) NULL);
assert(image->signature == MagickCoreSignature);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickCoreSignature);
assert(image->cache != (Cache) NULL);
(void) exception;
cache_info=(CacheInfo *) image->cache;
assert(cache_info->signature == MagickCoreSignature);
*length=0;
if ((cache_info->type != MemoryCache) && (cache_info->type != MapCache))
return((void *) NULL);
*length=(size_t) cache_info->length;
return(cache_info->pixels);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ C a c h e C o m p o n e n t G e n e s i s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% CacheComponentGenesis() instantiates the cache component.
%
% The format of the CacheComponentGenesis method is:
%
% MagickBooleanType CacheComponentGenesis(void)
%
*/
MagickPrivate MagickBooleanType CacheComponentGenesis(void)
{
if (cache_semaphore == (SemaphoreInfo *) NULL)
cache_semaphore=AcquireSemaphoreInfo();
return(MagickTrue);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ C a c h e C o m p o n e n t T e r m i n u s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% CacheComponentTerminus() destroys the cache component.
%
% The format of the CacheComponentTerminus() method is:
%
% CacheComponentTerminus(void)
%
*/
MagickPrivate void CacheComponentTerminus(void)
{
if (cache_semaphore == (SemaphoreInfo *) NULL)
ActivateSemaphoreInfo(&cache_semaphore);
/* no op-- nothing to destroy */
RelinquishSemaphoreInfo(&cache_semaphore);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ C l i p P i x e l C a c h e N e x u s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ClipPixelCacheNexus() clips the cache nexus as defined by the image clip
% mask. The method returns MagickTrue if the pixel region is clipped,
% otherwise MagickFalse.
%
% The format of the ClipPixelCacheNexus() method is:
%
% MagickBooleanType ClipPixelCacheNexus(Image *image,NexusInfo *nexus_info,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o nexus_info: the cache nexus to clip.
%
% o exception: return any errors or warnings in this structure.
%
*/
static MagickBooleanType ClipPixelCacheNexus(Image *image,
NexusInfo *nexus_info,ExceptionInfo *exception)
{
CacheInfo
*magick_restrict cache_info;
MagickSizeType
number_pixels;
register Quantum
*magick_restrict p,
*magick_restrict q;
register ssize_t
n;
/*
Apply clip mask.
*/
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
if ((image->channels & WriteMaskChannel) == 0)
return(MagickTrue);
if ((nexus_info->region.width == 0) || (nexus_info->region.height == 0))
return(MagickTrue);
cache_info=(CacheInfo *) image->cache;
if (cache_info == (Cache) NULL)
return(MagickFalse);
p=GetAuthenticPixelCacheNexus(image,nexus_info->region.x,nexus_info->region.y,
nexus_info->region.width,nexus_info->region.height,
nexus_info->virtual_nexus,exception);
q=nexus_info->pixels;
number_pixels=(MagickSizeType) nexus_info->region.width*
nexus_info->region.height;
for (n=0; n < (ssize_t) number_pixels; n++)
{
double
mask_alpha;
register ssize_t
i;
if (p == (Quantum *) NULL)
break;
mask_alpha=QuantumScale*GetPixelWriteMask(image,p);
if (fabs(mask_alpha) >= MagickEpsilon)
{
for (i=0; i < (ssize_t) image->number_channels; i++)
{
PixelChannel channel = GetPixelChannelChannel(image,i);
PixelTrait traits = GetPixelChannelTraits(image,channel);
if ((traits & UpdatePixelTrait) == 0)
continue;
q[i]=ClampToQuantum(MagickOver_((double) p[i],mask_alpha*
GetPixelAlpha(image,p),(double) q[i],(double)
GetPixelAlpha(image,q)));
}
SetPixelAlpha(image,GetPixelAlpha(image,p),q);
}
p+=GetPixelChannels(image);
q+=GetPixelChannels(image);
}
return(n < (ssize_t) number_pixels ? MagickFalse : MagickTrue);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ C l o n e P i x e l C a c h e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ClonePixelCache() clones a pixel cache.
%
% The format of the ClonePixelCache() method is:
%
% Cache ClonePixelCache(const Cache cache)
%
% A description of each parameter follows:
%
% o cache: the pixel cache.
%
*/
MagickPrivate Cache ClonePixelCache(const Cache cache)
{
CacheInfo
*magick_restrict clone_info;
const CacheInfo
*magick_restrict cache_info;
assert(cache != NULL);
cache_info=(const CacheInfo *) cache;
assert(cache_info->signature == MagickCoreSignature);
if (cache_info->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",
cache_info->filename);
clone_info=(CacheInfo *) AcquirePixelCache(cache_info->number_threads);
clone_info->virtual_pixel_method=cache_info->virtual_pixel_method;
return((Cache ) clone_info);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ C l o n e P i x e l C a c h e M e t h o d s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ClonePixelCacheMethods() clones the pixel cache methods from one cache to
% another.
%
% The format of the ClonePixelCacheMethods() method is:
%
% void ClonePixelCacheMethods(Cache clone,const Cache cache)
%
% A description of each parameter follows:
%
% o clone: Specifies a pointer to a Cache structure.
%
% o cache: the pixel cache.
%
*/
MagickPrivate void ClonePixelCacheMethods(Cache clone,const Cache cache)
{
CacheInfo
*magick_restrict cache_info,
*magick_restrict source_info;
assert(clone != (Cache) NULL);
source_info=(CacheInfo *) clone;
assert(source_info->signature == MagickCoreSignature);
if (source_info->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",
source_info->filename);
assert(cache != (Cache) NULL);
cache_info=(CacheInfo *) cache;
assert(cache_info->signature == MagickCoreSignature);
source_info->methods=cache_info->methods;
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ C l o n e P i x e l C a c h e R e p o s i t o r y %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ClonePixelCacheRepository() clones the source pixel cache to the destination
% cache.
%
% The format of the ClonePixelCacheRepository() method is:
%
% MagickBooleanType ClonePixelCacheRepository(CacheInfo *cache_info,
% CacheInfo *source_info,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o cache_info: the pixel cache.
%
% o source_info: the source pixel cache.
%
% o exception: return any errors or warnings in this structure.
%
*/
static MagickBooleanType ClonePixelCacheOnDisk(
CacheInfo *magick_restrict cache_info,CacheInfo *magick_restrict clone_info)
{
MagickSizeType
extent;
size_t
quantum;
ssize_t
count;
struct stat
file_stats;
unsigned char
*buffer;
/*
Clone pixel cache on disk with identical morphology.
*/
if ((OpenPixelCacheOnDisk(cache_info,ReadMode) == MagickFalse) ||
(OpenPixelCacheOnDisk(clone_info,IOMode) == MagickFalse))
return(MagickFalse);
if ((lseek(cache_info->file,0,SEEK_SET) < 0) ||
(lseek(clone_info->file,0,SEEK_SET) < 0))
return(MagickFalse);
quantum=(size_t) MagickMaxBufferExtent;
if ((fstat(cache_info->file,&file_stats) == 0) && (file_stats.st_size > 0))
quantum=(size_t) MagickMin(file_stats.st_size,MagickMaxBufferExtent);
buffer=(unsigned char *) AcquireQuantumMemory(quantum,sizeof(*buffer));
if (buffer == (unsigned char *) NULL)
ThrowFatalException(ResourceLimitFatalError,"MemoryAllocationFailed");
extent=0;
while ((count=read(cache_info->file,buffer,quantum)) > 0)
{
ssize_t
number_bytes;
number_bytes=write(clone_info->file,buffer,(size_t) count);
if (number_bytes != count)
break;
extent+=number_bytes;
}
buffer=(unsigned char *) RelinquishMagickMemory(buffer);
if (extent != cache_info->length)
return(MagickFalse);
return(MagickTrue);
}
static MagickBooleanType ClonePixelCacheRepository(
CacheInfo *magick_restrict clone_info,CacheInfo *magick_restrict cache_info,
ExceptionInfo *exception)
{
#define MaxCacheThreads ((size_t) GetMagickResourceLimit(ThreadResource))
#define cache_number_threads(source,destination,chunk,multithreaded) \
num_threads((multithreaded) == 0 ? 1 : \
(((source)->type != MemoryCache) && ((source)->type != MapCache)) || \
(((destination)->type != MemoryCache) && ((destination)->type != MapCache)) ? \
MagickMax(MagickMin(GetMagickResourceLimit(ThreadResource),2),1) : \
MagickMax(MagickMin((ssize_t) GetMagickResourceLimit(ThreadResource),(ssize_t) (chunk)/256),1))
MagickBooleanType
optimize,
status;
NexusInfo
**magick_restrict cache_nexus,
**magick_restrict clone_nexus;
size_t
length;
ssize_t
y;
assert(cache_info != (CacheInfo *) NULL);
assert(clone_info != (CacheInfo *) NULL);
assert(exception != (ExceptionInfo *) NULL);
if (cache_info->type == PingCache)
return(MagickTrue);
length=cache_info->number_channels*sizeof(*cache_info->channel_map);
if ((cache_info->storage_class == clone_info->storage_class) &&
(cache_info->colorspace == clone_info->colorspace) &&
(cache_info->alpha_trait == clone_info->alpha_trait) &&
(cache_info->channels == clone_info->channels) &&
(cache_info->columns == clone_info->columns) &&
(cache_info->rows == clone_info->rows) &&
(cache_info->number_channels == clone_info->number_channels) &&
(memcmp(cache_info->channel_map,clone_info->channel_map,length) == 0) &&
(cache_info->metacontent_extent == clone_info->metacontent_extent))
{
/*
Identical pixel cache morphology.
*/
if (((cache_info->type == MemoryCache) ||
(cache_info->type == MapCache)) &&
((clone_info->type == MemoryCache) || (clone_info->type == MapCache)))
{
(void) memcpy(clone_info->pixels,cache_info->pixels,
cache_info->number_channels*cache_info->columns*cache_info->rows*
sizeof(*cache_info->pixels));
if ((cache_info->metacontent_extent != 0) &&
(clone_info->metacontent_extent != 0))
(void) memcpy(clone_info->metacontent,cache_info->metacontent,
cache_info->columns*cache_info->rows*
clone_info->metacontent_extent*sizeof(unsigned char));
return(MagickTrue);
}
if ((cache_info->type == DiskCache) && (clone_info->type == DiskCache))
return(ClonePixelCacheOnDisk(cache_info,clone_info));
}
/*
Mismatched pixel cache morphology.
*/
cache_nexus=AcquirePixelCacheNexus(cache_info->number_threads);
clone_nexus=AcquirePixelCacheNexus(clone_info->number_threads);
length=cache_info->number_channels*sizeof(*cache_info->channel_map);
optimize=(cache_info->number_channels == clone_info->number_channels) &&
(memcmp(cache_info->channel_map,clone_info->channel_map,length) == 0) ?
MagickTrue : MagickFalse;
length=(size_t) MagickMin(cache_info->number_channels*cache_info->columns,
clone_info->number_channels*clone_info->columns);
status=MagickTrue;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(status) \
cache_number_threads(cache_info,clone_info,cache_info->rows,1)
#endif
for (y=0; y < (ssize_t) cache_info->rows; y++)
{
const int
id = GetOpenMPThreadId();
Quantum
*pixels;
register ssize_t
x;
if (status == MagickFalse)
continue;
if (y >= (ssize_t) clone_info->rows)
continue;
pixels=SetPixelCacheNexusPixels(cache_info,ReadMode,0,y,
cache_info->columns,1,MagickFalse,cache_nexus[id],exception);
if (pixels == (Quantum *) NULL)
continue;
status=ReadPixelCachePixels(cache_info,cache_nexus[id],exception);
if (status == MagickFalse)
continue;
pixels=SetPixelCacheNexusPixels(clone_info,WriteMode,0,y,
clone_info->columns,1,MagickFalse,clone_nexus[id],exception);
if (pixels == (Quantum *) NULL)
continue;
(void) memset(clone_nexus[id]->pixels,0,(size_t) clone_nexus[id]->length);
if (optimize != MagickFalse)
(void) memcpy(clone_nexus[id]->pixels,cache_nexus[id]->pixels,length*
sizeof(Quantum));
else
{
register const Quantum
*magick_restrict p;
register Quantum
*magick_restrict q;
/*
Mismatched pixel channel map.
*/
p=cache_nexus[id]->pixels;
q=clone_nexus[id]->pixels;
for (x=0; x < (ssize_t) cache_info->columns; x++)
{
register ssize_t
i;
if (x == (ssize_t) clone_info->columns)
break;
for (i=0; i < (ssize_t) clone_info->number_channels; i++)
{
PixelChannel
channel;
PixelTrait
traits;
channel=clone_info->channel_map[i].channel;
traits=cache_info->channel_map[channel].traits;
if (traits != UndefinedPixelTrait)
*q=*(p+cache_info->channel_map[channel].offset);
q++;
}
p+=cache_info->number_channels;
}
}
status=WritePixelCachePixels(clone_info,clone_nexus[id],exception);
}
if ((cache_info->metacontent_extent != 0) &&
(clone_info->metacontent_extent != 0))
{
/*
Clone metacontent.
*/
length=(size_t) MagickMin(cache_info->metacontent_extent,
clone_info->metacontent_extent);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(status) \
cache_number_threads(cache_info,clone_info,cache_info->rows,1)
#endif
for (y=0; y < (ssize_t) cache_info->rows; y++)
{
const int
id = GetOpenMPThreadId();
Quantum
*pixels;
if (status == MagickFalse)
continue;
if (y >= (ssize_t) clone_info->rows)
continue;
pixels=SetPixelCacheNexusPixels(cache_info,ReadMode,0,y,
cache_info->columns,1,MagickFalse,cache_nexus[id],exception);
if (pixels == (Quantum *) NULL)
continue;
status=ReadPixelCacheMetacontent(cache_info,cache_nexus[id],exception);
if (status == MagickFalse)
continue;
pixels=SetPixelCacheNexusPixels(clone_info,WriteMode,0,y,
clone_info->columns,1,MagickFalse,clone_nexus[id],exception);
if (pixels == (Quantum *) NULL)
continue;
if ((clone_nexus[id]->metacontent != (void *) NULL) &&
(cache_nexus[id]->metacontent != (void *) NULL))
(void) memcpy(clone_nexus[id]->metacontent,
cache_nexus[id]->metacontent,length*sizeof(unsigned char));
status=WritePixelCacheMetacontent(clone_info,clone_nexus[id],exception);
}
}
clone_nexus=DestroyPixelCacheNexus(clone_nexus,clone_info->number_threads);
cache_nexus=DestroyPixelCacheNexus(cache_nexus,cache_info->number_threads);
if (cache_info->debug != MagickFalse)
{
char
message[MagickPathExtent];
(void) FormatLocaleString(message,MagickPathExtent,"%s => %s",
CommandOptionToMnemonic(MagickCacheOptions,(ssize_t) cache_info->type),
CommandOptionToMnemonic(MagickCacheOptions,(ssize_t) clone_info->type));
(void) LogMagickEvent(CacheEvent,GetMagickModule(),"%s",message);
}
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ D e s t r o y I m a g e P i x e l C a c h e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% DestroyImagePixelCache() deallocates memory associated with the pixel cache.
%
% The format of the DestroyImagePixelCache() method is:
%
% void DestroyImagePixelCache(Image *image)
%
% A description of each parameter follows:
%
% o image: the image.
%
*/
static void DestroyImagePixelCache(Image *image)
{
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
if (image->cache != (void *) NULL)
image->cache=DestroyPixelCache(image->cache);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ D e s t r o y I m a g e P i x e l s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% DestroyImagePixels() deallocates memory associated with the pixel cache.
%
% The format of the DestroyImagePixels() method is:
%
% void DestroyImagePixels(Image *image)
%
% A description of each parameter follows:
%
% o image: the image.
%
*/
MagickExport void DestroyImagePixels(Image *image)
{
CacheInfo
*magick_restrict cache_info;
assert(image != (const Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(image->cache != (Cache) NULL);
cache_info=(CacheInfo *) image->cache;
assert(cache_info->signature == MagickCoreSignature);
if (cache_info->methods.destroy_pixel_handler != (DestroyPixelHandler) NULL)
{
cache_info->methods.destroy_pixel_handler(image);
return;
}
image->cache=DestroyPixelCache(image->cache);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ D e s t r o y P i x e l C a c h e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% DestroyPixelCache() deallocates memory associated with the pixel cache.
%
% The format of the DestroyPixelCache() method is:
%
% Cache DestroyPixelCache(Cache cache)
%
% A description of each parameter follows:
%
% o cache: the pixel cache.
%
*/
static MagickBooleanType ClosePixelCacheOnDisk(CacheInfo *cache_info)
{
int
status;
status=(-1);
if (cache_info->file != -1)
{
status=close(cache_info->file);
cache_info->file=(-1);
RelinquishMagickResource(FileResource,1);
}
return(status == -1 ? MagickFalse : MagickTrue);
}
static inline void RelinquishPixelCachePixels(CacheInfo *cache_info)
{
switch (cache_info->type)
{
case MemoryCache:
{
#if defined(MAGICKCORE_OPENCL_SUPPORT)
if (cache_info->opencl != (MagickCLCacheInfo) NULL)
{
cache_info->opencl=RelinquishMagickCLCacheInfo(cache_info->opencl,
MagickTrue);
cache_info->pixels=(Quantum *) NULL;
break;
}
#endif
if (cache_info->mapped == MagickFalse)
cache_info->pixels=(Quantum *) RelinquishAlignedMemory(
cache_info->pixels);
else
(void) UnmapBlob(cache_info->pixels,(size_t) cache_info->length);
RelinquishMagickResource(MemoryResource,cache_info->length);
break;
}
case MapCache:
{
(void) UnmapBlob(cache_info->pixels,(size_t) cache_info->length);
cache_info->pixels=(Quantum *) NULL;
if ((cache_info->mode != ReadMode) && (cache_info->mode != PersistMode))
(void) RelinquishUniqueFileResource(cache_info->cache_filename);
*cache_info->cache_filename='\0';
RelinquishMagickResource(MapResource,cache_info->length);
}
case DiskCache:
{
if (cache_info->file != -1)
(void) ClosePixelCacheOnDisk(cache_info);
if ((cache_info->mode != ReadMode) && (cache_info->mode != PersistMode))
(void) RelinquishUniqueFileResource(cache_info->cache_filename);
*cache_info->cache_filename='\0';
RelinquishMagickResource(DiskResource,cache_info->length);
break;
}
case DistributedCache:
{
*cache_info->cache_filename='\0';
(void) RelinquishDistributePixelCache((DistributeCacheInfo *)
cache_info->server_info);
break;
}
default:
break;
}
cache_info->type=UndefinedCache;
cache_info->mapped=MagickFalse;
cache_info->metacontent=(void *) NULL;
}
MagickPrivate Cache DestroyPixelCache(Cache cache)
{
CacheInfo
*magick_restrict cache_info;
assert(cache != (Cache) NULL);
cache_info=(CacheInfo *) cache;
assert(cache_info->signature == MagickCoreSignature);
if (cache_info->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",
cache_info->filename);
LockSemaphoreInfo(cache_info->semaphore);
cache_info->reference_count--;
if (cache_info->reference_count != 0)
{
UnlockSemaphoreInfo(cache_info->semaphore);
return((Cache) NULL);
}
UnlockSemaphoreInfo(cache_info->semaphore);
if (cache_info->debug != MagickFalse)
{
char
message[MagickPathExtent];
(void) FormatLocaleString(message,MagickPathExtent,"destroy %s",
cache_info->filename);
(void) LogMagickEvent(CacheEvent,GetMagickModule(),"%s",message);
}
RelinquishPixelCachePixels(cache_info);
if (cache_info->server_info != (DistributeCacheInfo *) NULL)
cache_info->server_info=DestroyDistributeCacheInfo((DistributeCacheInfo *)
cache_info->server_info);
if (cache_info->nexus_info != (NexusInfo **) NULL)
cache_info->nexus_info=DestroyPixelCacheNexus(cache_info->nexus_info,
cache_info->number_threads);
if (cache_info->random_info != (RandomInfo *) NULL)
cache_info->random_info=DestroyRandomInfo(cache_info->random_info);
if (cache_info->file_semaphore != (SemaphoreInfo *) NULL)
RelinquishSemaphoreInfo(&cache_info->file_semaphore);
if (cache_info->semaphore != (SemaphoreInfo *) NULL)
RelinquishSemaphoreInfo(&cache_info->semaphore);
cache_info->signature=(~MagickCoreSignature);
cache_info=(CacheInfo *) RelinquishAlignedMemory(cache_info);
cache=(Cache) NULL;
return(cache);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ D e s t r o y P i x e l C a c h e N e x u s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% DestroyPixelCacheNexus() destroys a pixel cache nexus.
%
% The format of the DestroyPixelCacheNexus() method is:
%
% NexusInfo **DestroyPixelCacheNexus(NexusInfo *nexus_info,
% const size_t number_threads)
%
% A description of each parameter follows:
%
% o nexus_info: the nexus to destroy.
%
% o number_threads: the number of nexus threads.
%
*/
static inline void RelinquishCacheNexusPixels(NexusInfo *nexus_info)
{
if (nexus_info->mapped == MagickFalse)
(void) RelinquishAlignedMemory(nexus_info->cache);
else
(void) UnmapBlob(nexus_info->cache,(size_t) nexus_info->length);
nexus_info->cache=(Quantum *) NULL;
nexus_info->pixels=(Quantum *) NULL;
nexus_info->metacontent=(void *) NULL;
nexus_info->length=0;
nexus_info->mapped=MagickFalse;
}
MagickPrivate NexusInfo **DestroyPixelCacheNexus(NexusInfo **nexus_info,
const size_t number_threads)
{
register ssize_t
i;
assert(nexus_info != (NexusInfo **) NULL);
for (i=0; i < (ssize_t) (2*number_threads); i++)
{
if (nexus_info[i]->cache != (Quantum *) NULL)
RelinquishCacheNexusPixels(nexus_info[i]);
nexus_info[i]->signature=(~MagickCoreSignature);
}
*nexus_info=(NexusInfo *) RelinquishMagickMemory(*nexus_info);
nexus_info=(NexusInfo **) RelinquishAlignedMemory(nexus_info);
return(nexus_info);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G e t A u t h e n t i c M e t a c o n t e n t %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetAuthenticMetacontent() returns the authentic metacontent corresponding
% with the last call to QueueAuthenticPixels() or GetVirtualPixels(). NULL is
% returned if the associated pixels are not available.
%
% The format of the GetAuthenticMetacontent() method is:
%
% void *GetAuthenticMetacontent(const Image *image)
%
% A description of each parameter follows:
%
% o image: the image.
%
*/
MagickExport void *GetAuthenticMetacontent(const Image *image)
{
CacheInfo
*magick_restrict cache_info;
const int
id = GetOpenMPThreadId();
assert(image != (const Image *) NULL);
assert(image->signature == MagickCoreSignature);
assert(image->cache != (Cache) NULL);
cache_info=(CacheInfo *) image->cache;
assert(cache_info->signature == MagickCoreSignature);
if (cache_info->methods.get_authentic_metacontent_from_handler !=
(GetAuthenticMetacontentFromHandler) NULL)
{
void
*metacontent;
metacontent=cache_info->methods.
get_authentic_metacontent_from_handler(image);
return(metacontent);
}
assert(id < (int) cache_info->number_threads);
return(cache_info->nexus_info[id]->metacontent);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ G e t A u t h e n t i c M e t a c o n t e n t F r o m C a c h e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetAuthenticMetacontentFromCache() returns the meta-content corresponding
% with the last call to QueueAuthenticPixelsCache() or
% GetAuthenticPixelsCache().
%
% The format of the GetAuthenticMetacontentFromCache() method is:
%
% void *GetAuthenticMetacontentFromCache(const Image *image)
%
% A description of each parameter follows:
%
% o image: the image.
%
*/
static void *GetAuthenticMetacontentFromCache(const Image *image)
{
CacheInfo
*magick_restrict cache_info;
const int
id = GetOpenMPThreadId();
assert(image != (const Image *) NULL);
assert(image->signature == MagickCoreSignature);
assert(image->cache != (Cache) NULL);
cache_info=(CacheInfo *) image->cache;
assert(cache_info->signature == MagickCoreSignature);
assert(id < (int) cache_info->number_threads);
return(cache_info->nexus_info[id]->metacontent);
}
#if defined(MAGICKCORE_OPENCL_SUPPORT)
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ G e t A u t h e n t i c O p e n C L B u f f e r %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetAuthenticOpenCLBuffer() returns an OpenCL buffer used to execute OpenCL
% operations.
%
% The format of the GetAuthenticOpenCLBuffer() method is:
%
% cl_mem GetAuthenticOpenCLBuffer(const Image *image,
% MagickCLDevice device,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o device: the device to use.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickPrivate cl_mem GetAuthenticOpenCLBuffer(const Image *image,
MagickCLDevice device,ExceptionInfo *exception)
{
CacheInfo
*magick_restrict cache_info;
assert(image != (const Image *) NULL);
assert(device != (const MagickCLDevice) NULL);
cache_info=(CacheInfo *) image->cache;
if ((cache_info->type == UndefinedCache) || (cache_info->reference_count > 1))
{
SyncImagePixelCache((Image *) image,exception);
cache_info=(CacheInfo *) image->cache;
}
if ((cache_info->type != MemoryCache) || (cache_info->mapped != MagickFalse))
return((cl_mem) NULL);
LockSemaphoreInfo(cache_info->semaphore);
if ((cache_info->opencl != (MagickCLCacheInfo) NULL) &&
(cache_info->opencl->device->context != device->context))
cache_info->opencl=CopyMagickCLCacheInfo(cache_info->opencl);
if (cache_info->opencl == (MagickCLCacheInfo) NULL)
{
assert(cache_info->pixels != (Quantum *) NULL);
cache_info->opencl=AcquireMagickCLCacheInfo(device,cache_info->pixels,
cache_info->length);
}
if (cache_info->opencl != (MagickCLCacheInfo) NULL)
RetainOpenCLMemObject(cache_info->opencl->buffer);
UnlockSemaphoreInfo(cache_info->semaphore);
if (cache_info->opencl == (MagickCLCacheInfo) NULL)
return((cl_mem) NULL);
assert(cache_info->opencl->pixels == cache_info->pixels);
return(cache_info->opencl->buffer);
}
#endif
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ G e t A u t h e n t i c P i x e l C a c h e N e x u s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetAuthenticPixelCacheNexus() gets authentic pixels from the in-memory or
% disk pixel cache as defined by the geometry parameters. A pointer to the
% pixels is returned if the pixels are transferred, otherwise a NULL is
% returned.
%
% The format of the GetAuthenticPixelCacheNexus() method is:
%
% Quantum *GetAuthenticPixelCacheNexus(Image *image,const ssize_t x,
% const ssize_t y,const size_t columns,const size_t rows,
% NexusInfo *nexus_info,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o x,y,columns,rows: These values define the perimeter of a region of
% pixels.
%
% o nexus_info: the cache nexus to return.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickPrivate Quantum *GetAuthenticPixelCacheNexus(Image *image,const ssize_t x,
const ssize_t y,const size_t columns,const size_t rows,NexusInfo *nexus_info,
ExceptionInfo *exception)
{
CacheInfo
*magick_restrict cache_info;
Quantum
*magick_restrict pixels;
/*
Transfer pixels from the cache.
*/
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
pixels=QueueAuthenticPixelCacheNexus(image,x,y,columns,rows,MagickTrue,
nexus_info,exception);
if (pixels == (Quantum *) NULL)
return((Quantum *) NULL);
cache_info=(CacheInfo *) image->cache;
assert(cache_info->signature == MagickCoreSignature);
if (nexus_info->authentic_pixel_cache != MagickFalse)
return(pixels);
if (ReadPixelCachePixels(cache_info,nexus_info,exception) == MagickFalse)
return((Quantum *) NULL);
if (cache_info->metacontent_extent != 0)
if (ReadPixelCacheMetacontent(cache_info,nexus_info,exception) == MagickFalse)
return((Quantum *) NULL);
return(pixels);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ G e t A u t h e n t i c P i x e l s F r o m C a c h e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetAuthenticPixelsFromCache() returns the pixels associated with the last
% call to the QueueAuthenticPixelsCache() or GetAuthenticPixelsCache() methods.
%
% The format of the GetAuthenticPixelsFromCache() method is:
%
% Quantum *GetAuthenticPixelsFromCache(const Image image)
%
% A description of each parameter follows:
%
% o image: the image.
%
*/
static Quantum *GetAuthenticPixelsFromCache(const Image *image)
{
CacheInfo
*magick_restrict cache_info;
const int
id = GetOpenMPThreadId();
assert(image != (const Image *) NULL);
assert(image->signature == MagickCoreSignature);
assert(image->cache != (Cache) NULL);
cache_info=(CacheInfo *) image->cache;
assert(cache_info->signature == MagickCoreSignature);
assert(id < (int) cache_info->number_threads);
return(cache_info->nexus_info[id]->pixels);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G e t A u t h e n t i c P i x e l Q u e u e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetAuthenticPixelQueue() returns the authentic pixels associated
% corresponding with the last call to QueueAuthenticPixels() or
% GetAuthenticPixels().
%
% The format of the GetAuthenticPixelQueue() method is:
%
% Quantum *GetAuthenticPixelQueue(const Image image)
%
% A description of each parameter follows:
%
% o image: the image.
%
*/
MagickExport Quantum *GetAuthenticPixelQueue(const Image *image)
{
CacheInfo
*magick_restrict cache_info;
const int
id = GetOpenMPThreadId();
assert(image != (const Image *) NULL);
assert(image->signature == MagickCoreSignature);
assert(image->cache != (Cache) NULL);
cache_info=(CacheInfo *) image->cache;
assert(cache_info->signature == MagickCoreSignature);
if (cache_info->methods.get_authentic_pixels_from_handler !=
(GetAuthenticPixelsFromHandler) NULL)
return(cache_info->methods.get_authentic_pixels_from_handler(image));
assert(id < (int) cache_info->number_threads);
return(cache_info->nexus_info[id]->pixels);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G e t A u t h e n t i c P i x e l s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetAuthenticPixels() obtains a pixel region for read/write access. If the
% region is successfully accessed, a pointer to a Quantum array
% representing the region is returned, otherwise NULL is returned.
%
% The returned pointer may point to a temporary working copy of the pixels
% or it may point to the original pixels in memory. Performance is maximized
% if the selected region is part of one row, or one or more full rows, since
% then there is opportunity to access the pixels in-place (without a copy)
% if the image is in memory, or in a memory-mapped file. The returned pointer
% must *never* be deallocated by the user.
%
% Pixels accessed via the returned pointer represent a simple array of type
% Quantum. If the image has corresponding metacontent,call
% GetAuthenticMetacontent() after invoking GetAuthenticPixels() to obtain the
% meta-content corresponding to the region. Once the Quantum array has
% been updated, the changes must be saved back to the underlying image using
% SyncAuthenticPixels() or they may be lost.
%
% The format of the GetAuthenticPixels() method is:
%
% Quantum *GetAuthenticPixels(Image *image,const ssize_t x,
% const ssize_t y,const size_t columns,const size_t rows,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o x,y,columns,rows: These values define the perimeter of a region of
% pixels.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Quantum *GetAuthenticPixels(Image *image,const ssize_t x,
const ssize_t y,const size_t columns,const size_t rows,
ExceptionInfo *exception)
{
CacheInfo
*magick_restrict cache_info;
const int
id = GetOpenMPThreadId();
Quantum
*pixels;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
assert(image->cache != (Cache) NULL);
cache_info=(CacheInfo *) image->cache;
assert(cache_info->signature == MagickCoreSignature);
if (cache_info->methods.get_authentic_pixels_handler !=
(GetAuthenticPixelsHandler) NULL)
{
pixels=cache_info->methods.get_authentic_pixels_handler(image,x,y,columns,
rows,exception);
return(pixels);
}
assert(id < (int) cache_info->number_threads);
pixels=GetAuthenticPixelCacheNexus(image,x,y,columns,rows,
cache_info->nexus_info[id],exception);
return(pixels);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ G e t A u t h e n t i c P i x e l s C a c h e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetAuthenticPixelsCache() gets pixels from the in-memory or disk pixel cache
% as defined by the geometry parameters. A pointer to the pixels is returned
% if the pixels are transferred, otherwise a NULL is returned.
%
% The format of the GetAuthenticPixelsCache() method is:
%
% Quantum *GetAuthenticPixelsCache(Image *image,const ssize_t x,
% const ssize_t y,const size_t columns,const size_t rows,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o x,y,columns,rows: These values define the perimeter of a region of
% pixels.
%
% o exception: return any errors or warnings in this structure.
%
*/
static Quantum *GetAuthenticPixelsCache(Image *image,const ssize_t x,
const ssize_t y,const size_t columns,const size_t rows,
ExceptionInfo *exception)
{
CacheInfo
*magick_restrict cache_info;
const int
id = GetOpenMPThreadId();
Quantum
*magick_restrict pixels;
assert(image != (const Image *) NULL);
assert(image->signature == MagickCoreSignature);
assert(image->cache != (Cache) NULL);
cache_info=(CacheInfo *) image->cache;
if (cache_info == (Cache) NULL)
return((Quantum *) NULL);
assert(cache_info->signature == MagickCoreSignature);
assert(id < (int) cache_info->number_threads);
pixels=GetAuthenticPixelCacheNexus(image,x,y,columns,rows,
cache_info->nexus_info[id],exception);
return(pixels);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ G e t I m a g e E x t e n t %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetImageExtent() returns the extent of the pixels associated corresponding
% with the last call to QueueAuthenticPixels() or GetAuthenticPixels().
%
% The format of the GetImageExtent() method is:
%
% MagickSizeType GetImageExtent(const Image *image)
%
% A description of each parameter follows:
%
% o image: the image.
%
*/
MagickExport MagickSizeType GetImageExtent(const Image *image)
{
CacheInfo
*magick_restrict cache_info;
const int
id = GetOpenMPThreadId();
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(image->cache != (Cache) NULL);
cache_info=(CacheInfo *) image->cache;
assert(cache_info->signature == MagickCoreSignature);
assert(id < (int) cache_info->number_threads);
return(GetPixelCacheNexusExtent(cache_info,cache_info->nexus_info[id]));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ G e t I m a g e P i x e l C a c h e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetImagePixelCache() ensures that there is only a single reference to the
% pixel cache to be modified, updating the provided cache pointer to point to
% a clone of the original pixel cache if necessary.
%
% The format of the GetImagePixelCache method is:
%
% Cache GetImagePixelCache(Image *image,const MagickBooleanType clone,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o clone: any value other than MagickFalse clones the cache pixels.
%
% o exception: return any errors or warnings in this structure.
%
*/
static inline MagickBooleanType ValidatePixelCacheMorphology(
const Image *magick_restrict image)
{
const CacheInfo
*magick_restrict cache_info;
const PixelChannelMap
*magick_restrict p,
*magick_restrict q;
/*
Does the image match the pixel cache morphology?
*/
cache_info=(CacheInfo *) image->cache;
p=image->channel_map;
q=cache_info->channel_map;
if ((image->storage_class != cache_info->storage_class) ||
(image->colorspace != cache_info->colorspace) ||
(image->alpha_trait != cache_info->alpha_trait) ||
(image->channels != cache_info->channels) ||
(image->columns != cache_info->columns) ||
(image->rows != cache_info->rows) ||
(image->number_channels != cache_info->number_channels) ||
(memcmp(p,q,image->number_channels*sizeof(*p)) != 0) ||
(image->metacontent_extent != cache_info->metacontent_extent) ||
(cache_info->nexus_info == (NexusInfo **) NULL))
return(MagickFalse);
return(MagickTrue);
}
static Cache GetImagePixelCache(Image *image,const MagickBooleanType clone,
ExceptionInfo *exception)
{
CacheInfo
*magick_restrict cache_info;
MagickBooleanType
destroy,
status;
static MagickSizeType
cache_timelimit = MagickResourceInfinity,
cpu_throttle = MagickResourceInfinity,
cycles = 0;
status=MagickTrue;
if (cpu_throttle == MagickResourceInfinity)
cpu_throttle=GetMagickResourceLimit(ThrottleResource);
if ((cpu_throttle != 0) && ((cycles++ % 32) == 0))
MagickDelay(cpu_throttle);
if (cache_epoch == 0)
{
/*
Set the expire time in seconds.
*/
cache_timelimit=GetMagickResourceLimit(TimeResource);
cache_epoch=GetMagickTime();
}
if ((cache_timelimit != MagickResourceInfinity) &&
((MagickSizeType) (GetMagickTime()-cache_epoch) >= cache_timelimit))
{
#if defined(ECANCELED)
errno=ECANCELED;
#endif
cache_info=(CacheInfo *) image->cache;
if (cache_info->file != -1)
(void) ClosePixelCacheOnDisk(cache_info);
ThrowFatalException(ResourceLimitFatalError,"TimeLimitExceeded");
}
LockSemaphoreInfo(image->semaphore);
assert(image->cache != (Cache) NULL);
cache_info=(CacheInfo *) image->cache;
#if defined(MAGICKCORE_OPENCL_SUPPORT)
CopyOpenCLBuffer(cache_info);
#endif
destroy=MagickFalse;
if ((cache_info->reference_count > 1) || (cache_info->mode == ReadMode))
{
LockSemaphoreInfo(cache_info->semaphore);
if ((cache_info->reference_count > 1) || (cache_info->mode == ReadMode))
{
CacheInfo
*clone_info;
Image
clone_image;
/*
Clone pixel cache.
*/
clone_image=(*image);
clone_image.semaphore=AcquireSemaphoreInfo();
clone_image.reference_count=1;
clone_image.cache=ClonePixelCache(cache_info);
clone_info=(CacheInfo *) clone_image.cache;
status=OpenPixelCache(&clone_image,IOMode,exception);
if (status == MagickFalse)
clone_info=(CacheInfo *) DestroyPixelCache(clone_info);
else
{
if (clone != MagickFalse)
status=ClonePixelCacheRepository(clone_info,cache_info,
exception);
if (status == MagickFalse)
clone_info=(CacheInfo *) DestroyPixelCache(clone_info);
else
{
destroy=MagickTrue;
image->cache=clone_info;
}
}
RelinquishSemaphoreInfo(&clone_image.semaphore);
}
UnlockSemaphoreInfo(cache_info->semaphore);
}
if (destroy != MagickFalse)
cache_info=(CacheInfo *) DestroyPixelCache(cache_info);
if (status != MagickFalse)
{
/*
Ensure the image matches the pixel cache morphology.
*/
if (image->type != UndefinedType)
image->type=UndefinedType;
if (ValidatePixelCacheMorphology(image) == MagickFalse)
{
status=OpenPixelCache(image,IOMode,exception);
cache_info=(CacheInfo *) image->cache;
if (cache_info->file != -1)
(void) ClosePixelCacheOnDisk(cache_info);
}
}
UnlockSemaphoreInfo(image->semaphore);
if (status == MagickFalse)
return((Cache) NULL);
return(image->cache);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ G e t I m a g e P i x e l C a c h e T y p e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetImagePixelCacheType() returns the pixel cache type: UndefinedCache,
% DiskCache, MemoryCache, MapCache, or PingCache.
%
% The format of the GetImagePixelCacheType() method is:
%
% CacheType GetImagePixelCacheType(const Image *image)
%
% A description of each parameter follows:
%
% o image: the image.
%
*/
MagickExport CacheType GetImagePixelCacheType(const Image *image)
{
CacheInfo
*magick_restrict cache_info;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
assert(image->cache != (Cache) NULL);
cache_info=(CacheInfo *) image->cache;
assert(cache_info->signature == MagickCoreSignature);
return(cache_info->type);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G e t O n e A u t h e n t i c P i x e l %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetOneAuthenticPixel() returns a single pixel at the specified (x,y)
% location. The image background color is returned if an error occurs.
%
% The format of the GetOneAuthenticPixel() method is:
%
% MagickBooleanType GetOneAuthenticPixel(const Image image,const ssize_t x,
% const ssize_t y,Quantum *pixel,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o x,y: These values define the location of the pixel to return.
%
% o pixel: return a pixel at the specified (x,y) location.
%
% o exception: return any errors or warnings in this structure.
%
*/
static inline MagickBooleanType CopyPixel(const Image *image,
const Quantum *source,Quantum *destination)
{
register ssize_t
i;
if (source == (const Quantum *) NULL)
{
destination[RedPixelChannel]=ClampToQuantum(image->background_color.red);
destination[GreenPixelChannel]=ClampToQuantum(
image->background_color.green);
destination[BluePixelChannel]=ClampToQuantum(
image->background_color.blue);
destination[BlackPixelChannel]=ClampToQuantum(
image->background_color.black);
destination[AlphaPixelChannel]=ClampToQuantum(
image->background_color.alpha);
return(MagickFalse);
}
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
PixelChannel channel = GetPixelChannelChannel(image,i);
destination[channel]=source[i];
}
return(MagickTrue);
}
MagickExport MagickBooleanType GetOneAuthenticPixel(Image *image,
const ssize_t x,const ssize_t y,Quantum *pixel,ExceptionInfo *exception)
{
CacheInfo
*magick_restrict cache_info;
register Quantum
*magick_restrict q;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
assert(image->cache != (Cache) NULL);
cache_info=(CacheInfo *) image->cache;
assert(cache_info->signature == MagickCoreSignature);
(void) memset(pixel,0,MaxPixelChannels*sizeof(*pixel));
if (cache_info->methods.get_one_authentic_pixel_from_handler != (GetOneAuthenticPixelFromHandler) NULL)
return(cache_info->methods.get_one_authentic_pixel_from_handler(image,x,y,pixel,exception));
q=GetAuthenticPixelsCache(image,x,y,1UL,1UL,exception);
return(CopyPixel(image,q,pixel));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ G e t O n e A u t h e n t i c P i x e l F r o m C a c h e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetOneAuthenticPixelFromCache() returns a single pixel at the specified (x,y)
% location. The image background color is returned if an error occurs.
%
% The format of the GetOneAuthenticPixelFromCache() method is:
%
% MagickBooleanType GetOneAuthenticPixelFromCache(const Image image,
% const ssize_t x,const ssize_t y,Quantum *pixel,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o x,y: These values define the location of the pixel to return.
%
% o pixel: return a pixel at the specified (x,y) location.
%
% o exception: return any errors or warnings in this structure.
%
*/
static MagickBooleanType GetOneAuthenticPixelFromCache(Image *image,
const ssize_t x,const ssize_t y,Quantum *pixel,ExceptionInfo *exception)
{
CacheInfo
*magick_restrict cache_info;
const int
id = GetOpenMPThreadId();
register Quantum
*magick_restrict q;
assert(image != (const Image *) NULL);
assert(image->signature == MagickCoreSignature);
assert(image->cache != (Cache) NULL);
cache_info=(CacheInfo *) image->cache;
assert(cache_info->signature == MagickCoreSignature);
assert(id < (int) cache_info->number_threads);
(void) memset(pixel,0,MaxPixelChannels*sizeof(*pixel));
q=GetAuthenticPixelCacheNexus(image,x,y,1UL,1UL,cache_info->nexus_info[id],
exception);
return(CopyPixel(image,q,pixel));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G e t O n e V i r t u a l P i x e l %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetOneVirtualPixel() returns a single virtual pixel at the specified
% (x,y) location. The image background color is returned if an error occurs.
% If you plan to modify the pixel, use GetOneAuthenticPixel() instead.
%
% The format of the GetOneVirtualPixel() method is:
%
% MagickBooleanType GetOneVirtualPixel(const Image image,const ssize_t x,
% const ssize_t y,Quantum *pixel,ExceptionInfo exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o x,y: These values define the location of the pixel to return.
%
% o pixel: return a pixel at the specified (x,y) location.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport MagickBooleanType GetOneVirtualPixel(const Image *image,
const ssize_t x,const ssize_t y,Quantum *pixel,ExceptionInfo *exception)
{
CacheInfo
*magick_restrict cache_info;
const int
id = GetOpenMPThreadId();
const Quantum
*p;
assert(image != (const Image *) NULL);
assert(image->signature == MagickCoreSignature);
assert(image->cache != (Cache) NULL);
cache_info=(CacheInfo *) image->cache;
assert(cache_info->signature == MagickCoreSignature);
(void) memset(pixel,0,MaxPixelChannels*sizeof(*pixel));
if (cache_info->methods.get_one_virtual_pixel_from_handler !=
(GetOneVirtualPixelFromHandler) NULL)
return(cache_info->methods.get_one_virtual_pixel_from_handler(image,
GetPixelCacheVirtualMethod(image),x,y,pixel,exception));
assert(id < (int) cache_info->number_threads);
p=GetVirtualPixelCacheNexus(image,GetPixelCacheVirtualMethod(image),x,y,
1UL,1UL,cache_info->nexus_info[id],exception);
return(CopyPixel(image,p,pixel));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ G e t O n e V i r t u a l P i x e l F r o m C a c h e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetOneVirtualPixelFromCache() returns a single virtual pixel at the
% specified (x,y) location. The image background color is returned if an
% error occurs.
%
% The format of the GetOneVirtualPixelFromCache() method is:
%
% MagickBooleanType GetOneVirtualPixelFromCache(const Image image,
% const VirtualPixelMethod method,const ssize_t x,const ssize_t y,
% Quantum *pixel,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o virtual_pixel_method: the virtual pixel method.
%
% o x,y: These values define the location of the pixel to return.
%
% o pixel: return a pixel at the specified (x,y) location.
%
% o exception: return any errors or warnings in this structure.
%
*/
static MagickBooleanType GetOneVirtualPixelFromCache(const Image *image,
const VirtualPixelMethod virtual_pixel_method,const ssize_t x,const ssize_t y,
Quantum *pixel,ExceptionInfo *exception)
{
CacheInfo
*magick_restrict cache_info;
const int
id = GetOpenMPThreadId();
const Quantum
*p;
assert(image != (const Image *) NULL);
assert(image->signature == MagickCoreSignature);
assert(image->cache != (Cache) NULL);
cache_info=(CacheInfo *) image->cache;
assert(cache_info->signature == MagickCoreSignature);
assert(id < (int) cache_info->number_threads);
(void) memset(pixel,0,MaxPixelChannels*sizeof(*pixel));
p=GetVirtualPixelCacheNexus(image,virtual_pixel_method,x,y,1UL,1UL,
cache_info->nexus_info[id],exception);
return(CopyPixel(image,p,pixel));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G e t O n e V i r t u a l P i x e l I n f o %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetOneVirtualPixelInfo() returns a single pixel at the specified (x,y)
% location. The image background color is returned if an error occurs. If
% you plan to modify the pixel, use GetOneAuthenticPixel() instead.
%
% The format of the GetOneVirtualPixelInfo() method is:
%
% MagickBooleanType GetOneVirtualPixelInfo(const Image image,
% const VirtualPixelMethod virtual_pixel_method,const ssize_t x,
% const ssize_t y,PixelInfo *pixel,ExceptionInfo exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o virtual_pixel_method: the virtual pixel method.
%
% o x,y: these values define the location of the pixel to return.
%
% o pixel: return a pixel at the specified (x,y) location.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport MagickBooleanType GetOneVirtualPixelInfo(const Image *image,
const VirtualPixelMethod virtual_pixel_method,const ssize_t x,const ssize_t y,
PixelInfo *pixel,ExceptionInfo *exception)
{
CacheInfo
*magick_restrict cache_info;
const int
id = GetOpenMPThreadId();
register const Quantum
*magick_restrict p;
assert(image != (const Image *) NULL);
assert(image->signature == MagickCoreSignature);
assert(image->cache != (Cache) NULL);
cache_info=(CacheInfo *) image->cache;
assert(cache_info->signature == MagickCoreSignature);
assert(id < (int) cache_info->number_threads);
GetPixelInfo(image,pixel);
p=GetVirtualPixelCacheNexus(image,virtual_pixel_method,x,y,1UL,1UL,
cache_info->nexus_info[id],exception);
if (p == (const Quantum *) NULL)
return(MagickFalse);
GetPixelInfoPixel(image,p,pixel);
return(MagickTrue);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ G e t P i x e l C a c h e C o l o r s p a c e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetPixelCacheColorspace() returns the colorspace of the pixel cache.
%
% The format of the GetPixelCacheColorspace() method is:
%
% Colorspace GetPixelCacheColorspace(const Cache cache)
%
% A description of each parameter follows:
%
% o cache: the pixel cache.
%
*/
MagickPrivate ColorspaceType GetPixelCacheColorspace(const Cache cache)
{
CacheInfo
*magick_restrict cache_info;
assert(cache != (Cache) NULL);
cache_info=(CacheInfo *) cache;
assert(cache_info->signature == MagickCoreSignature);
if (cache_info->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",
cache_info->filename);
return(cache_info->colorspace);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ G e t P i x e l C a c h e F i l e n a m e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetPixelCacheFilename() returns the filename associated with the pixel
% cache.
%
% The format of the GetPixelCacheFilename() method is:
%
% const char *GetPixelCacheFilename(const Image *image)
%
% A description of each parameter follows:
%
% o image: the image.
%
*/
MagickExport const char *GetPixelCacheFilename(const Image *image)
{
CacheInfo
*magick_restrict cache_info;
assert(image != (const Image *) NULL);
assert(image->signature == MagickCoreSignature);
assert(image->cache != (Cache) NULL);
cache_info=(CacheInfo *) image->cache;
assert(cache_info->signature == MagickCoreSignature);
return(cache_info->cache_filename);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ G e t P i x e l C a c h e M e t h o d s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetPixelCacheMethods() initializes the CacheMethods structure.
%
% The format of the GetPixelCacheMethods() method is:
%
% void GetPixelCacheMethods(CacheMethods *cache_methods)
%
% A description of each parameter follows:
%
% o cache_methods: Specifies a pointer to a CacheMethods structure.
%
*/
MagickPrivate void GetPixelCacheMethods(CacheMethods *cache_methods)
{
assert(cache_methods != (CacheMethods *) NULL);
(void) memset(cache_methods,0,sizeof(*cache_methods));
cache_methods->get_virtual_pixel_handler=GetVirtualPixelCache;
cache_methods->get_virtual_pixels_handler=GetVirtualPixelsCache;
cache_methods->get_virtual_metacontent_from_handler=
GetVirtualMetacontentFromCache;
cache_methods->get_one_virtual_pixel_from_handler=GetOneVirtualPixelFromCache;
cache_methods->get_authentic_pixels_handler=GetAuthenticPixelsCache;
cache_methods->get_authentic_metacontent_from_handler=
GetAuthenticMetacontentFromCache;
cache_methods->get_authentic_pixels_from_handler=GetAuthenticPixelsFromCache;
cache_methods->get_one_authentic_pixel_from_handler=
GetOneAuthenticPixelFromCache;
cache_methods->queue_authentic_pixels_handler=QueueAuthenticPixelsCache;
cache_methods->sync_authentic_pixels_handler=SyncAuthenticPixelsCache;
cache_methods->destroy_pixel_handler=DestroyImagePixelCache;
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ G e t P i x e l C a c h e N e x u s E x t e n t %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetPixelCacheNexusExtent() returns the extent of the pixels associated
% corresponding with the last call to SetPixelCacheNexusPixels() or
% GetPixelCacheNexusPixels().
%
% The format of the GetPixelCacheNexusExtent() method is:
%
% MagickSizeType GetPixelCacheNexusExtent(const Cache cache,
% NexusInfo *nexus_info)
%
% A description of each parameter follows:
%
% o nexus_info: the nexus info.
%
*/
MagickPrivate MagickSizeType GetPixelCacheNexusExtent(const Cache cache,
NexusInfo *magick_restrict nexus_info)
{
CacheInfo
*magick_restrict cache_info;
MagickSizeType
extent;
assert(cache != NULL);
cache_info=(CacheInfo *) cache;
assert(cache_info->signature == MagickCoreSignature);
extent=(MagickSizeType) nexus_info->region.width*nexus_info->region.height;
if (extent == 0)
return((MagickSizeType) cache_info->columns*cache_info->rows);
return(extent);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ G e t P i x e l C a c h e P i x e l s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetPixelCachePixels() returns the pixels associated with the specified image.
%
% The format of the GetPixelCachePixels() method is:
%
% void *GetPixelCachePixels(Image *image,MagickSizeType *length,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o length: the pixel cache length.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport void *GetPixelCachePixels(Image *image,MagickSizeType *length,
ExceptionInfo *exception)
{
CacheInfo
*magick_restrict cache_info;
assert(image != (const Image *) NULL);
assert(image->signature == MagickCoreSignature);
assert(image->cache != (Cache) NULL);
assert(length != (MagickSizeType *) NULL);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickCoreSignature);
cache_info=(CacheInfo *) image->cache;
assert(cache_info->signature == MagickCoreSignature);
*length=cache_info->length;
if ((cache_info->type != MemoryCache) && (cache_info->type != MapCache))
return((void *) NULL);
return((void *) cache_info->pixels);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ G e t P i x e l C a c h e S t o r a g e C l a s s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetPixelCacheStorageClass() returns the class type of the pixel cache.
%
% The format of the GetPixelCacheStorageClass() method is:
%
% ClassType GetPixelCacheStorageClass(Cache cache)
%
% A description of each parameter follows:
%
% o type: GetPixelCacheStorageClass returns DirectClass or PseudoClass.
%
% o cache: the pixel cache.
%
*/
MagickPrivate ClassType GetPixelCacheStorageClass(const Cache cache)
{
CacheInfo
*magick_restrict cache_info;
assert(cache != (Cache) NULL);
cache_info=(CacheInfo *) cache;
assert(cache_info->signature == MagickCoreSignature);
if (cache_info->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",
cache_info->filename);
return(cache_info->storage_class);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ G e t P i x e l C a c h e T i l e S i z e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetPixelCacheTileSize() returns the pixel cache tile size.
%
% The format of the GetPixelCacheTileSize() method is:
%
% void GetPixelCacheTileSize(const Image *image,size_t *width,
% size_t *height)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o width: the optimized cache tile width in pixels.
%
% o height: the optimized cache tile height in pixels.
%
*/
MagickPrivate void GetPixelCacheTileSize(const Image *image,size_t *width,
size_t *height)
{
CacheInfo
*magick_restrict cache_info;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
cache_info=(CacheInfo *) image->cache;
assert(cache_info->signature == MagickCoreSignature);
*width=2048UL/(MagickMax(cache_info->number_channels,1)*sizeof(Quantum));
if (GetImagePixelCacheType(image) == DiskCache)
*width=8192UL/(MagickMax(cache_info->number_channels,1)*sizeof(Quantum));
*height=(*width);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ G e t P i x e l C a c h e V i r t u a l M e t h o d %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetPixelCacheVirtualMethod() gets the "virtual pixels" method for the
% pixel cache. A virtual pixel is any pixel access that is outside the
% boundaries of the image cache.
%
% The format of the GetPixelCacheVirtualMethod() method is:
%
% VirtualPixelMethod GetPixelCacheVirtualMethod(const Image *image)
%
% A description of each parameter follows:
%
% o image: the image.
%
*/
MagickPrivate VirtualPixelMethod GetPixelCacheVirtualMethod(const Image *image)
{
CacheInfo
*magick_restrict cache_info;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
assert(image->cache != (Cache) NULL);
cache_info=(CacheInfo *) image->cache;
assert(cache_info->signature == MagickCoreSignature);
return(cache_info->virtual_pixel_method);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ G e t V i r t u a l M e t a c o n t e n t F r o m C a c h e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetVirtualMetacontentFromCache() returns the meta-content corresponding with
% the last call to QueueAuthenticPixelsCache() or GetVirtualPixelCache().
%
% The format of the GetVirtualMetacontentFromCache() method is:
%
% void *GetVirtualMetacontentFromCache(const Image *image)
%
% A description of each parameter follows:
%
% o image: the image.
%
*/
static const void *GetVirtualMetacontentFromCache(const Image *image)
{
CacheInfo
*magick_restrict cache_info;
const int
id = GetOpenMPThreadId();
const void
*magick_restrict metacontent;
assert(image != (const Image *) NULL);
assert(image->signature == MagickCoreSignature);
assert(image->cache != (Cache) NULL);
cache_info=(CacheInfo *) image->cache;
assert(cache_info->signature == MagickCoreSignature);
assert(id < (int) cache_info->number_threads);
metacontent=GetVirtualMetacontentFromNexus(cache_info,
cache_info->nexus_info[id]);
return(metacontent);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ G e t V i r t u a l M e t a c o n t e n t F r o m N e x u s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetVirtualMetacontentFromNexus() returns the meta-content for the specified
% cache nexus.
%
% The format of the GetVirtualMetacontentFromNexus() method is:
%
% const void *GetVirtualMetacontentFromNexus(const Cache cache,
% NexusInfo *nexus_info)
%
% A description of each parameter follows:
%
% o cache: the pixel cache.
%
% o nexus_info: the cache nexus to return the meta-content.
%
*/
MagickPrivate const void *GetVirtualMetacontentFromNexus(const Cache cache,
NexusInfo *magick_restrict nexus_info)
{
CacheInfo
*magick_restrict cache_info;
assert(cache != (Cache) NULL);
cache_info=(CacheInfo *) cache;
assert(cache_info->signature == MagickCoreSignature);
if (cache_info->storage_class == UndefinedClass)
return((void *) NULL);
return(nexus_info->metacontent);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G e t V i r t u a l M e t a c o n t e n t %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetVirtualMetacontent() returns the virtual metacontent corresponding with
% the last call to QueueAuthenticPixels() or GetVirtualPixels(). NULL is
% returned if the meta-content are not available.
%
% The format of the GetVirtualMetacontent() method is:
%
% const void *GetVirtualMetacontent(const Image *image)
%
% A description of each parameter follows:
%
% o image: the image.
%
*/
MagickExport const void *GetVirtualMetacontent(const Image *image)
{
CacheInfo
*magick_restrict cache_info;
const int
id = GetOpenMPThreadId();
const void
*magick_restrict metacontent;
assert(image != (const Image *) NULL);
assert(image->signature == MagickCoreSignature);
assert(image->cache != (Cache) NULL);
cache_info=(CacheInfo *) image->cache;
assert(cache_info->signature == MagickCoreSignature);
metacontent=cache_info->methods.get_virtual_metacontent_from_handler(image);
if (metacontent != (void *) NULL)
return(metacontent);
assert(id < (int) cache_info->number_threads);
metacontent=GetVirtualMetacontentFromNexus(cache_info,
cache_info->nexus_info[id]);
return(metacontent);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ G e t V i r t u a l P i x e l C a c h e N e x u s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetVirtualPixelCacheNexus() gets virtual pixels from the in-memory or disk
% pixel cache as defined by the geometry parameters. A pointer to the pixels
% is returned if the pixels are transferred, otherwise a NULL is returned.
%
% The format of the GetVirtualPixelCacheNexus() method is:
%
% Quantum *GetVirtualPixelCacheNexus(const Image *image,
% const VirtualPixelMethod method,const ssize_t x,const ssize_t y,
% const size_t columns,const size_t rows,NexusInfo *nexus_info,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o virtual_pixel_method: the virtual pixel method.
%
% o x,y,columns,rows: These values define the perimeter of a region of
% pixels.
%
% o nexus_info: the cache nexus to acquire.
%
% o exception: return any errors or warnings in this structure.
%
*/
static ssize_t
DitherMatrix[64] =
{
0, 48, 12, 60, 3, 51, 15, 63,
32, 16, 44, 28, 35, 19, 47, 31,
8, 56, 4, 52, 11, 59, 7, 55,
40, 24, 36, 20, 43, 27, 39, 23,
2, 50, 14, 62, 1, 49, 13, 61,
34, 18, 46, 30, 33, 17, 45, 29,
10, 58, 6, 54, 9, 57, 5, 53,
42, 26, 38, 22, 41, 25, 37, 21
};
static inline ssize_t DitherX(const ssize_t x,const size_t columns)
{
ssize_t
index;
index=x+DitherMatrix[x & 0x07]-32L;
if (index < 0L)
return(0L);
if (index >= (ssize_t) columns)
return((ssize_t) columns-1L);
return(index);
}
static inline ssize_t DitherY(const ssize_t y,const size_t rows)
{
ssize_t
index;
index=y+DitherMatrix[y & 0x07]-32L;
if (index < 0L)
return(0L);
if (index >= (ssize_t) rows)
return((ssize_t) rows-1L);
return(index);
}
static inline ssize_t EdgeX(const ssize_t x,const size_t columns)
{
if (x < 0L)
return(0L);
if (x >= (ssize_t) columns)
return((ssize_t) (columns-1));
return(x);
}
static inline ssize_t EdgeY(const ssize_t y,const size_t rows)
{
if (y < 0L)
return(0L);
if (y >= (ssize_t) rows)
return((ssize_t) (rows-1));
return(y);
}
static inline ssize_t RandomX(RandomInfo *random_info,const size_t columns)
{
return((ssize_t) (columns*GetPseudoRandomValue(random_info)));
}
static inline ssize_t RandomY(RandomInfo *random_info,const size_t rows)
{
return((ssize_t) (rows*GetPseudoRandomValue(random_info)));
}
static inline MagickModulo VirtualPixelModulo(const ssize_t offset,
const size_t extent)
{
MagickModulo
modulo;
modulo.quotient=offset/((ssize_t) extent);
modulo.remainder=offset % ((ssize_t) extent);
if ((modulo.remainder != 0) && ((offset ^ ((ssize_t) extent)) < 0))
{
modulo.quotient-=1;
modulo.remainder+=((ssize_t) extent);
}
return(modulo);
}
MagickPrivate const Quantum *GetVirtualPixelCacheNexus(const Image *image,
const VirtualPixelMethod virtual_pixel_method,const ssize_t x,const ssize_t y,
const size_t columns,const size_t rows,NexusInfo *nexus_info,
ExceptionInfo *exception)
{
CacheInfo
*magick_restrict cache_info;
MagickOffsetType
offset;
MagickSizeType
length,
number_pixels;
NexusInfo
*magick_restrict virtual_nexus;
Quantum
*magick_restrict pixels,
virtual_pixel[MaxPixelChannels];
register const Quantum
*magick_restrict p;
register const void
*magick_restrict r;
register Quantum
*magick_restrict q;
register ssize_t
i,
u;
register unsigned char
*magick_restrict s;
ssize_t
v;
void
*magick_restrict virtual_metacontent;
/*
Acquire pixels.
*/
assert(image != (const Image *) NULL);
assert(image->signature == MagickCoreSignature);
assert(image->cache != (Cache) NULL);
cache_info=(CacheInfo *) image->cache;
assert(cache_info->signature == MagickCoreSignature);
if (cache_info->type == UndefinedCache)
return((const Quantum *) NULL);
#if defined(MAGICKCORE_OPENCL_SUPPORT)
CopyOpenCLBuffer(cache_info);
#endif
pixels=SetPixelCacheNexusPixels(cache_info,ReadMode,x,y,columns,rows,
((image->channels & WriteMaskChannel) != 0) ||
((image->channels & CompositeMaskChannel) != 0) ? MagickTrue : MagickFalse,
nexus_info,exception);
if (pixels == (Quantum *) NULL)
return((const Quantum *) NULL);
q=pixels;
offset=(MagickOffsetType) nexus_info->region.y*cache_info->columns+
nexus_info->region.x;
length=(MagickSizeType) (nexus_info->region.height-1L)*cache_info->columns+
nexus_info->region.width-1L;
number_pixels=(MagickSizeType) cache_info->columns*cache_info->rows;
if ((offset >= 0) && (((MagickSizeType) offset+length) < number_pixels))
if ((x >= 0) && ((ssize_t) (x+columns-1) < (ssize_t) cache_info->columns) &&
(y >= 0) && ((ssize_t) (y+rows-1) < (ssize_t) cache_info->rows))
{
MagickBooleanType
status;
/*
Pixel request is inside cache extents.
*/
if (nexus_info->authentic_pixel_cache != MagickFalse)
return(q);
status=ReadPixelCachePixels(cache_info,nexus_info,exception);
if (status == MagickFalse)
return((const Quantum *) NULL);
if (cache_info->metacontent_extent != 0)
{
status=ReadPixelCacheMetacontent(cache_info,nexus_info,exception);
if (status == MagickFalse)
return((const Quantum *) NULL);
}
return(q);
}
/*
Pixel request is outside cache extents.
*/
virtual_nexus=nexus_info->virtual_nexus;
s=(unsigned char *) nexus_info->metacontent;
(void) memset(virtual_pixel,0,cache_info->number_channels*
sizeof(*virtual_pixel));
virtual_metacontent=(void *) NULL;
switch (virtual_pixel_method)
{
case BackgroundVirtualPixelMethod:
case BlackVirtualPixelMethod:
case GrayVirtualPixelMethod:
case TransparentVirtualPixelMethod:
case MaskVirtualPixelMethod:
case WhiteVirtualPixelMethod:
case EdgeVirtualPixelMethod:
case CheckerTileVirtualPixelMethod:
case HorizontalTileVirtualPixelMethod:
case VerticalTileVirtualPixelMethod:
{
if (cache_info->metacontent_extent != 0)
{
/*
Acquire a metacontent buffer.
*/
virtual_metacontent=(void *) AcquireQuantumMemory(1,
cache_info->metacontent_extent);
if (virtual_metacontent == (void *) NULL)
{
(void) ThrowMagickException(exception,GetMagickModule(),
CacheError,"UnableToGetCacheNexus","`%s'",image->filename);
return((const Quantum *) NULL);
}
(void) memset(virtual_metacontent,0,cache_info->metacontent_extent);
}
switch (virtual_pixel_method)
{
case BlackVirtualPixelMethod:
{
for (i=0; i < (ssize_t) cache_info->number_channels; i++)
SetPixelChannel(image,(PixelChannel) i,(Quantum) 0,virtual_pixel);
SetPixelAlpha(image,OpaqueAlpha,virtual_pixel);
break;
}
case GrayVirtualPixelMethod:
{
for (i=0; i < (ssize_t) cache_info->number_channels; i++)
SetPixelChannel(image,(PixelChannel) i,QuantumRange/2,
virtual_pixel);
SetPixelAlpha(image,OpaqueAlpha,virtual_pixel);
break;
}
case TransparentVirtualPixelMethod:
{
for (i=0; i < (ssize_t) cache_info->number_channels; i++)
SetPixelChannel(image,(PixelChannel) i,(Quantum) 0,virtual_pixel);
SetPixelAlpha(image,TransparentAlpha,virtual_pixel);
break;
}
case MaskVirtualPixelMethod:
case WhiteVirtualPixelMethod:
{
for (i=0; i < (ssize_t) cache_info->number_channels; i++)
SetPixelChannel(image,(PixelChannel) i,QuantumRange,virtual_pixel);
SetPixelAlpha(image,OpaqueAlpha,virtual_pixel);
break;
}
default:
{
SetPixelRed(image,ClampToQuantum(image->background_color.red),
virtual_pixel);
SetPixelGreen(image,ClampToQuantum(image->background_color.green),
virtual_pixel);
SetPixelBlue(image,ClampToQuantum(image->background_color.blue),
virtual_pixel);
SetPixelBlack(image,ClampToQuantum(image->background_color.black),
virtual_pixel);
SetPixelAlpha(image,ClampToQuantum(image->background_color.alpha),
virtual_pixel);
break;
}
}
break;
}
default:
break;
}
for (v=0; v < (ssize_t) rows; v++)
{
ssize_t
y_offset;
y_offset=y+v;
if ((virtual_pixel_method == EdgeVirtualPixelMethod) ||
(virtual_pixel_method == UndefinedVirtualPixelMethod))
y_offset=EdgeY(y_offset,cache_info->rows);
for (u=0; u < (ssize_t) columns; u+=length)
{
ssize_t
x_offset;
x_offset=x+u;
length=(MagickSizeType) MagickMin(cache_info->columns-x_offset,columns-u);
if (((x_offset < 0) || (x_offset >= (ssize_t) cache_info->columns)) ||
((y_offset < 0) || (y_offset >= (ssize_t) cache_info->rows)) ||
(length == 0))
{
MagickModulo
x_modulo,
y_modulo;
/*
Transfer a single pixel.
*/
length=(MagickSizeType) 1;
switch (virtual_pixel_method)
{
case EdgeVirtualPixelMethod:
default:
{
p=GetVirtualPixelCacheNexus(image,virtual_pixel_method,
EdgeX(x_offset,cache_info->columns),
EdgeY(y_offset,cache_info->rows),1UL,1UL,virtual_nexus,
exception);
r=GetVirtualMetacontentFromNexus(cache_info,
nexus_info->virtual_nexus);
break;
}
case RandomVirtualPixelMethod:
{
if (cache_info->random_info == (RandomInfo *) NULL)
cache_info->random_info=AcquireRandomInfo();
p=GetVirtualPixelCacheNexus(image,virtual_pixel_method,
RandomX(cache_info->random_info,cache_info->columns),
RandomY(cache_info->random_info,cache_info->rows),1UL,1UL,
virtual_nexus,exception);
r=GetVirtualMetacontentFromNexus(cache_info,virtual_nexus);
break;
}
case DitherVirtualPixelMethod:
{
p=GetVirtualPixelCacheNexus(image,virtual_pixel_method,
DitherX(x_offset,cache_info->columns),
DitherY(y_offset,cache_info->rows),1UL,1UL,virtual_nexus,
exception);
r=GetVirtualMetacontentFromNexus(cache_info,virtual_nexus);
break;
}
case TileVirtualPixelMethod:
{
x_modulo=VirtualPixelModulo(x_offset,cache_info->columns);
y_modulo=VirtualPixelModulo(y_offset,cache_info->rows);
p=GetVirtualPixelCacheNexus(image,virtual_pixel_method,
x_modulo.remainder,y_modulo.remainder,1UL,1UL,virtual_nexus,
exception);
r=GetVirtualMetacontentFromNexus(cache_info,virtual_nexus);
break;
}
case MirrorVirtualPixelMethod:
{
x_modulo=VirtualPixelModulo(x_offset,cache_info->columns);
if ((x_modulo.quotient & 0x01) == 1L)
x_modulo.remainder=(ssize_t) cache_info->columns-
x_modulo.remainder-1L;
y_modulo=VirtualPixelModulo(y_offset,cache_info->rows);
if ((y_modulo.quotient & 0x01) == 1L)
y_modulo.remainder=(ssize_t) cache_info->rows-
y_modulo.remainder-1L;
p=GetVirtualPixelCacheNexus(image,virtual_pixel_method,
x_modulo.remainder,y_modulo.remainder,1UL,1UL,virtual_nexus,
exception);
r=GetVirtualMetacontentFromNexus(cache_info,virtual_nexus);
break;
}
case HorizontalTileEdgeVirtualPixelMethod:
{
x_modulo=VirtualPixelModulo(x_offset,cache_info->columns);
p=GetVirtualPixelCacheNexus(image,virtual_pixel_method,
x_modulo.remainder,EdgeY(y_offset,cache_info->rows),1UL,1UL,
virtual_nexus,exception);
r=GetVirtualMetacontentFromNexus(cache_info,virtual_nexus);
break;
}
case VerticalTileEdgeVirtualPixelMethod:
{
y_modulo=VirtualPixelModulo(y_offset,cache_info->rows);
p=GetVirtualPixelCacheNexus(image,virtual_pixel_method,
EdgeX(x_offset,cache_info->columns),y_modulo.remainder,1UL,1UL,
virtual_nexus,exception);
r=GetVirtualMetacontentFromNexus(cache_info,virtual_nexus);
break;
}
case BackgroundVirtualPixelMethod:
case BlackVirtualPixelMethod:
case GrayVirtualPixelMethod:
case TransparentVirtualPixelMethod:
case MaskVirtualPixelMethod:
case WhiteVirtualPixelMethod:
{
p=virtual_pixel;
r=virtual_metacontent;
break;
}
case CheckerTileVirtualPixelMethod:
{
x_modulo=VirtualPixelModulo(x_offset,cache_info->columns);
y_modulo=VirtualPixelModulo(y_offset,cache_info->rows);
if (((x_modulo.quotient ^ y_modulo.quotient) & 0x01) != 0L)
{
p=virtual_pixel;
r=virtual_metacontent;
break;
}
p=GetVirtualPixelCacheNexus(image,virtual_pixel_method,
x_modulo.remainder,y_modulo.remainder,1UL,1UL,virtual_nexus,
exception);
r=GetVirtualMetacontentFromNexus(cache_info,virtual_nexus);
break;
}
case HorizontalTileVirtualPixelMethod:
{
if ((y_offset < 0) || (y_offset >= (ssize_t) cache_info->rows))
{
p=virtual_pixel;
r=virtual_metacontent;
break;
}
x_modulo=VirtualPixelModulo(x_offset,cache_info->columns);
y_modulo=VirtualPixelModulo(y_offset,cache_info->rows);
p=GetVirtualPixelCacheNexus(image,virtual_pixel_method,
x_modulo.remainder,y_modulo.remainder,1UL,1UL,virtual_nexus,
exception);
r=GetVirtualMetacontentFromNexus(cache_info,virtual_nexus);
break;
}
case VerticalTileVirtualPixelMethod:
{
if ((x_offset < 0) || (x_offset >= (ssize_t) cache_info->columns))
{
p=virtual_pixel;
r=virtual_metacontent;
break;
}
x_modulo=VirtualPixelModulo(x_offset,cache_info->columns);
y_modulo=VirtualPixelModulo(y_offset,cache_info->rows);
p=GetVirtualPixelCacheNexus(image,virtual_pixel_method,
x_modulo.remainder,y_modulo.remainder,1UL,1UL,virtual_nexus,
exception);
r=GetVirtualMetacontentFromNexus(cache_info,virtual_nexus);
break;
}
}
if (p == (const Quantum *) NULL)
break;
(void) memcpy(q,p,(size_t) (cache_info->number_channels*length*
sizeof(*p)));
q+=cache_info->number_channels;
if ((s != (void *) NULL) && (r != (const void *) NULL))
{
(void) memcpy(s,r,(size_t) cache_info->metacontent_extent);
s+=cache_info->metacontent_extent;
}
continue;
}
/*
Transfer a run of pixels.
*/
p=GetVirtualPixelCacheNexus(image,virtual_pixel_method,x_offset,y_offset,
(size_t) length,1UL,virtual_nexus,exception);
if (p == (const Quantum *) NULL)
break;
r=GetVirtualMetacontentFromNexus(cache_info,virtual_nexus);
(void) memcpy(q,p,(size_t) (cache_info->number_channels*length*
sizeof(*p)));
q+=cache_info->number_channels*length;
if ((r != (void *) NULL) && (s != (const void *) NULL))
{
(void) memcpy(s,r,(size_t) length);
s+=length*cache_info->metacontent_extent;
}
}
if (u < (ssize_t) columns)
break;
}
/*
Free resources.
*/
if (virtual_metacontent != (void *) NULL)
virtual_metacontent=(void *) RelinquishMagickMemory(virtual_metacontent);
if (v < (ssize_t) rows)
return((const Quantum *) NULL);
return(pixels);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ G e t V i r t u a l P i x e l C a c h e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetVirtualPixelCache() get virtual pixels from the in-memory or disk pixel
% cache as defined by the geometry parameters. A pointer to the pixels
% is returned if the pixels are transferred, otherwise a NULL is returned.
%
% The format of the GetVirtualPixelCache() method is:
%
% const Quantum *GetVirtualPixelCache(const Image *image,
% const VirtualPixelMethod virtual_pixel_method,const ssize_t x,
% const ssize_t y,const size_t columns,const size_t rows,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o virtual_pixel_method: the virtual pixel method.
%
% o x,y,columns,rows: These values define the perimeter of a region of
% pixels.
%
% o exception: return any errors or warnings in this structure.
%
*/
static const Quantum *GetVirtualPixelCache(const Image *image,
const VirtualPixelMethod virtual_pixel_method,const ssize_t x,const ssize_t y,
const size_t columns,const size_t rows,ExceptionInfo *exception)
{
CacheInfo
*magick_restrict cache_info;
const int
id = GetOpenMPThreadId();
const Quantum
*magick_restrict p;
assert(image != (const Image *) NULL);
assert(image->signature == MagickCoreSignature);
assert(image->cache != (Cache) NULL);
cache_info=(CacheInfo *) image->cache;
assert(cache_info->signature == MagickCoreSignature);
assert(id < (int) cache_info->number_threads);
p=GetVirtualPixelCacheNexus(image,virtual_pixel_method,x,y,columns,rows,
cache_info->nexus_info[id],exception);
return(p);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G e t V i r t u a l P i x e l Q u e u e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetVirtualPixelQueue() returns the virtual pixels associated corresponding
% with the last call to QueueAuthenticPixels() or GetVirtualPixels().
%
% The format of the GetVirtualPixelQueue() method is:
%
% const Quantum *GetVirtualPixelQueue(const Image image)
%
% A description of each parameter follows:
%
% o image: the image.
%
*/
MagickExport const Quantum *GetVirtualPixelQueue(const Image *image)
{
CacheInfo
*magick_restrict cache_info;
const int
id = GetOpenMPThreadId();
assert(image != (const Image *) NULL);
assert(image->signature == MagickCoreSignature);
assert(image->cache != (Cache) NULL);
cache_info=(CacheInfo *) image->cache;
assert(cache_info->signature == MagickCoreSignature);
if (cache_info->methods.get_virtual_pixels_handler !=
(GetVirtualPixelsHandler) NULL)
return(cache_info->methods.get_virtual_pixels_handler(image));
assert(id < (int) cache_info->number_threads);
return(GetVirtualPixelsNexus(cache_info,cache_info->nexus_info[id]));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G e t V i r t u a l P i x e l s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetVirtualPixels() returns an immutable pixel region. If the
% region is successfully accessed, a pointer to it is returned, otherwise
% NULL is returned. The returned pointer may point to a temporary working
% copy of the pixels or it may point to the original pixels in memory.
% Performance is maximized if the selected region is part of one row, or one
% or more full rows, since there is opportunity to access the pixels in-place
% (without a copy) if the image is in memory, or in a memory-mapped file. The
% returned pointer must *never* be deallocated by the user.
%
% Pixels accessed via the returned pointer represent a simple array of type
% Quantum. If the image type is CMYK or the storage class is PseudoClass,
% call GetAuthenticMetacontent() after invoking GetAuthenticPixels() to
% access the meta-content (of type void) corresponding to the
% region.
%
% If you plan to modify the pixels, use GetAuthenticPixels() instead.
%
% Note, the GetVirtualPixels() and GetAuthenticPixels() methods are not thread-
% safe. In a threaded environment, use GetCacheViewVirtualPixels() or
% GetCacheViewAuthenticPixels() instead.
%
% The format of the GetVirtualPixels() method is:
%
% const Quantum *GetVirtualPixels(const Image *image,const ssize_t x,
% const ssize_t y,const size_t columns,const size_t rows,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o x,y,columns,rows: These values define the perimeter of a region of
% pixels.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport const Quantum *GetVirtualPixels(const Image *image,
const ssize_t x,const ssize_t y,const size_t columns,const size_t rows,
ExceptionInfo *exception)
{
CacheInfo
*magick_restrict cache_info;
const int
id = GetOpenMPThreadId();
const Quantum
*magick_restrict p;
assert(image != (const Image *) NULL);
assert(image->signature == MagickCoreSignature);
assert(image->cache != (Cache) NULL);
cache_info=(CacheInfo *) image->cache;
assert(cache_info->signature == MagickCoreSignature);
if (cache_info->methods.get_virtual_pixel_handler !=
(GetVirtualPixelHandler) NULL)
return(cache_info->methods.get_virtual_pixel_handler(image,
GetPixelCacheVirtualMethod(image),x,y,columns,rows,exception));
assert(id < (int) cache_info->number_threads);
p=GetVirtualPixelCacheNexus(image,GetPixelCacheVirtualMethod(image),x,y,
columns,rows,cache_info->nexus_info[id],exception);
return(p);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ G e t V i r t u a l P i x e l s F r o m C a c h e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetVirtualPixelsCache() returns the pixels associated corresponding with the
% last call to QueueAuthenticPixelsCache() or GetVirtualPixelCache().
%
% The format of the GetVirtualPixelsCache() method is:
%
% Quantum *GetVirtualPixelsCache(const Image *image)
%
% A description of each parameter follows:
%
% o image: the image.
%
*/
static const Quantum *GetVirtualPixelsCache(const Image *image)
{
CacheInfo
*magick_restrict cache_info;
const int
id = GetOpenMPThreadId();
assert(image != (const Image *) NULL);
assert(image->signature == MagickCoreSignature);
assert(image->cache != (Cache) NULL);
cache_info=(CacheInfo *) image->cache;
assert(cache_info->signature == MagickCoreSignature);
assert(id < (int) cache_info->number_threads);
return(GetVirtualPixelsNexus(image->cache,cache_info->nexus_info[id]));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ G e t V i r t u a l P i x e l s N e x u s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetVirtualPixelsNexus() returns the pixels associated with the specified
% cache nexus.
%
% The format of the GetVirtualPixelsNexus() method is:
%
% const Quantum *GetVirtualPixelsNexus(const Cache cache,
% NexusInfo *nexus_info)
%
% A description of each parameter follows:
%
% o cache: the pixel cache.
%
% o nexus_info: the cache nexus to return the colormap pixels.
%
*/
MagickPrivate const Quantum *GetVirtualPixelsNexus(const Cache cache,
NexusInfo *magick_restrict nexus_info)
{
CacheInfo
*magick_restrict cache_info;
assert(cache != (Cache) NULL);
cache_info=(CacheInfo *) cache;
assert(cache_info->signature == MagickCoreSignature);
if (cache_info->storage_class == UndefinedClass)
return((Quantum *) NULL);
return((const Quantum *) nexus_info->pixels);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ M a s k P i x e l C a c h e N e x u s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% MaskPixelCacheNexus() masks the cache nexus as defined by the image mask.
% The method returns MagickTrue if the pixel region is masked, otherwise
% MagickFalse.
%
% The format of the MaskPixelCacheNexus() method is:
%
% MagickBooleanType MaskPixelCacheNexus(Image *image,
% NexusInfo *nexus_info,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o nexus_info: the cache nexus to clip.
%
% o exception: return any errors or warnings in this structure.
%
*/
static inline Quantum ApplyPixelCompositeMask(const Quantum p,
const MagickRealType alpha,const Quantum q,const MagickRealType beta)
{
double
mask_alpha;
Quantum
pixel;
if (fabs(alpha-OpaqueAlpha) < MagickEpsilon)
return(p);
mask_alpha=1.0-QuantumScale*QuantumScale*alpha*beta;
mask_alpha=PerceptibleReciprocal(mask_alpha);
pixel=ClampToQuantum(mask_alpha*MagickOver_((double) p,alpha,(double) q,
beta));
return(pixel);
}
static MagickBooleanType MaskPixelCacheNexus(Image *image,NexusInfo *nexus_info,
ExceptionInfo *exception)
{
CacheInfo
*magick_restrict cache_info;
MagickSizeType
number_pixels;
register Quantum
*magick_restrict p,
*magick_restrict q;
register ssize_t
n;
/*
Apply clip mask.
*/
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
if ((image->channels & CompositeMaskChannel) == 0)
return(MagickTrue);
if ((nexus_info->region.width == 0) || (nexus_info->region.height == 0))
return(MagickTrue);
cache_info=(CacheInfo *) image->cache;
if (cache_info == (Cache) NULL)
return(MagickFalse);
p=GetAuthenticPixelCacheNexus(image,nexus_info->region.x,nexus_info->region.y,
nexus_info->region.width,nexus_info->region.height,
nexus_info->virtual_nexus,exception);
q=nexus_info->pixels;
number_pixels=(MagickSizeType) nexus_info->region.width*
nexus_info->region.height;
for (n=0; n < (ssize_t) number_pixels; n++)
{
double
mask_alpha;
register ssize_t
i;
if (p == (Quantum *) NULL)
break;
mask_alpha=(double) GetPixelCompositeMask(image,p);
for (i=0; i < (ssize_t) image->number_channels; i++)
{
PixelChannel channel = GetPixelChannelChannel(image,i);
PixelTrait traits = GetPixelChannelTraits(image,channel);
if ((traits & UpdatePixelTrait) == 0)
continue;
q[i]=ApplyPixelCompositeMask(p[i],mask_alpha,q[i],(MagickRealType)
GetPixelAlpha(image,q));
}
p+=GetPixelChannels(image);
q+=GetPixelChannels(image);
}
if (n < (ssize_t) number_pixels)
return(MagickFalse);
return(MagickTrue);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ O p e n P i x e l C a c h e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% OpenPixelCache() allocates the pixel cache. This includes defining the cache
% dimensions, allocating space for the image pixels and optionally the
% metacontent, and memory mapping the cache if it is disk based. The cache
% nexus array is initialized as well.
%
% The format of the OpenPixelCache() method is:
%
% MagickBooleanType OpenPixelCache(Image *image,const MapMode mode,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o mode: ReadMode, WriteMode, or IOMode.
%
% o exception: return any errors or warnings in this structure.
%
*/
static MagickBooleanType OpenPixelCacheOnDisk(CacheInfo *cache_info,
const MapMode mode)
{
int
file;
/*
Open pixel cache on disk.
*/
if ((cache_info->file != -1) && (cache_info->disk_mode == mode))
return(MagickTrue); /* cache already open and in the proper mode */
if (*cache_info->cache_filename == '\0')
file=AcquireUniqueFileResource(cache_info->cache_filename);
else
switch (mode)
{
case ReadMode:
{
file=open_utf8(cache_info->cache_filename,O_RDONLY | O_BINARY,0);
break;
}
case WriteMode:
{
file=open_utf8(cache_info->cache_filename,O_WRONLY | O_CREAT |
O_BINARY | O_EXCL,S_MODE);
if (file == -1)
file=open_utf8(cache_info->cache_filename,O_WRONLY | O_BINARY,S_MODE);
break;
}
case IOMode:
default:
{
file=open_utf8(cache_info->cache_filename,O_RDWR | O_CREAT | O_BINARY |
O_EXCL,S_MODE);
if (file == -1)
file=open_utf8(cache_info->cache_filename,O_RDWR | O_BINARY,S_MODE);
break;
}
}
if (file == -1)
return(MagickFalse);
(void) AcquireMagickResource(FileResource,1);
if (cache_info->file != -1)
(void) ClosePixelCacheOnDisk(cache_info);
cache_info->file=file;
cache_info->disk_mode=mode;
return(MagickTrue);
}
static inline MagickOffsetType WritePixelCacheRegion(
const CacheInfo *magick_restrict cache_info,const MagickOffsetType offset,
const MagickSizeType length,const unsigned char *magick_restrict buffer)
{
register MagickOffsetType
i;
ssize_t
count;
#if !defined(MAGICKCORE_HAVE_PWRITE)
if (lseek(cache_info->file,offset,SEEK_SET) < 0)
return((MagickOffsetType) -1);
#endif
count=0;
for (i=0; i < (MagickOffsetType) length; i+=count)
{
#if !defined(MAGICKCORE_HAVE_PWRITE)
count=write(cache_info->file,buffer+i,(size_t) MagickMin(length-i,(size_t)
SSIZE_MAX));
#else
count=pwrite(cache_info->file,buffer+i,(size_t) MagickMin(length-i,(size_t)
SSIZE_MAX),offset+i);
#endif
if (count <= 0)
{
count=0;
if (errno != EINTR)
break;
}
}
return(i);
}
static MagickBooleanType SetPixelCacheExtent(Image *image,MagickSizeType length)
{
CacheInfo
*magick_restrict cache_info;
MagickOffsetType
count,
extent,
offset;
cache_info=(CacheInfo *) image->cache;
if (image->debug != MagickFalse)
{
char
format[MagickPathExtent],
message[MagickPathExtent];
(void) FormatMagickSize(length,MagickFalse,"B",MagickPathExtent,format);
(void) FormatLocaleString(message,MagickPathExtent,
"extend %s (%s[%d], disk, %s)",cache_info->filename,
cache_info->cache_filename,cache_info->file,format);
(void) LogMagickEvent(CacheEvent,GetMagickModule(),"%s",message);
}
if (length != (MagickSizeType) ((MagickOffsetType) length))
return(MagickFalse);
offset=(MagickOffsetType) lseek(cache_info->file,0,SEEK_END);
if (offset < 0)
return(MagickFalse);
if ((MagickSizeType) offset >= length)
count=(MagickOffsetType) 1;
else
{
extent=(MagickOffsetType) length-1;
count=WritePixelCacheRegion(cache_info,extent,1,(const unsigned char *)
"");
if (count != 1)
return(MagickFalse);
#if defined(MAGICKCORE_HAVE_POSIX_FALLOCATE)
if (cache_info->synchronize != MagickFalse)
if (posix_fallocate(cache_info->file,offset+1,extent-offset) != 0)
return(MagickFalse);
#endif
}
offset=(MagickOffsetType) lseek(cache_info->file,0,SEEK_SET);
if (offset < 0)
return(MagickFalse);
return(MagickTrue);
}
static MagickBooleanType OpenPixelCache(Image *image,const MapMode mode,
ExceptionInfo *exception)
{
CacheInfo
*magick_restrict cache_info,
source_info;
char
format[MagickPathExtent],
message[MagickPathExtent];
const char
*hosts,
*type;
MagickBooleanType
status;
MagickSizeType
length,
number_pixels;
size_t
columns,
packet_size;
assert(image != (const Image *) NULL);
assert(image->signature == MagickCoreSignature);
assert(image->cache != (Cache) NULL);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
if (cache_anonymous_memory < 0)
{
char
*value;
/*
Does the security policy require anonymous mapping for pixel cache?
*/
cache_anonymous_memory=0;
value=GetPolicyValue("pixel-cache-memory");
if (value == (char *) NULL)
value=GetPolicyValue("cache:memory-map");
if (LocaleCompare(value,"anonymous") == 0)
{
#if defined(MAGICKCORE_HAVE_MMAP) && defined(MAP_ANONYMOUS)
cache_anonymous_memory=1;
#else
(void) ThrowMagickException(exception,GetMagickModule(),
MissingDelegateError,"DelegateLibrarySupportNotBuiltIn",
"'%s' (policy requires anonymous memory mapping)",image->filename);
#endif
}
value=DestroyString(value);
}
if ((image->columns == 0) || (image->rows == 0))
ThrowBinaryException(CacheError,"NoPixelsDefinedInCache",image->filename);
cache_info=(CacheInfo *) image->cache;
assert(cache_info->signature == MagickCoreSignature);
if (((MagickSizeType) image->columns > cache_info->width_limit) ||
((MagickSizeType) image->rows > cache_info->height_limit))
ThrowBinaryException(ImageError,"WidthOrHeightExceedsLimit",
image->filename);
length=GetImageListLength(image);
if (AcquireMagickResource(ListLengthResource,length) == MagickFalse)
ThrowBinaryException(ResourceLimitError,"ListLengthExceedsLimit",
image->filename);
source_info=(*cache_info);
source_info.file=(-1);
(void) FormatLocaleString(cache_info->filename,MagickPathExtent,"%s[%.20g]",
image->filename,(double) image->scene);
cache_info->storage_class=image->storage_class;
cache_info->colorspace=image->colorspace;
cache_info->alpha_trait=image->alpha_trait;
cache_info->channels=image->channels;
cache_info->rows=image->rows;
cache_info->columns=image->columns;
InitializePixelChannelMap(image);
cache_info->number_channels=GetPixelChannels(image);
(void) memcpy(cache_info->channel_map,image->channel_map,MaxPixelChannels*
sizeof(*image->channel_map));
cache_info->metacontent_extent=image->metacontent_extent;
cache_info->mode=mode;
number_pixels=(MagickSizeType) cache_info->columns*cache_info->rows;
packet_size=cache_info->number_channels*sizeof(Quantum);
if (image->metacontent_extent != 0)
packet_size+=cache_info->metacontent_extent;
length=number_pixels*packet_size;
columns=(size_t) (length/cache_info->rows/packet_size);
if ((cache_info->columns != columns) || ((ssize_t) cache_info->columns < 0) ||
((ssize_t) cache_info->rows < 0))
ThrowBinaryException(ResourceLimitError,"PixelCacheAllocationFailed",
image->filename);
cache_info->length=length;
if (image->ping != MagickFalse)
{
cache_info->storage_class=image->storage_class;
cache_info->colorspace=image->colorspace;
cache_info->type=PingCache;
return(MagickTrue);
}
status=AcquireMagickResource(AreaResource,(MagickSizeType)
cache_info->columns*cache_info->rows);
if (cache_info->mode == PersistMode)
status=MagickFalse;
length=number_pixels*(cache_info->number_channels*sizeof(Quantum)+
cache_info->metacontent_extent);
if ((status != MagickFalse) &&
(length == (MagickSizeType) ((size_t) length)) &&
((cache_info->type == UndefinedCache) ||
(cache_info->type == MemoryCache)))
{
status=AcquireMagickResource(MemoryResource,cache_info->length);
if (status != MagickFalse)
{
status=MagickTrue;
if (cache_anonymous_memory <= 0)
{
cache_info->mapped=MagickFalse;
cache_info->pixels=(Quantum *) MagickAssumeAligned(
AcquireAlignedMemory(1,(size_t) cache_info->length));
}
else
{
cache_info->mapped=MagickTrue;
cache_info->pixels=(Quantum *) MapBlob(-1,IOMode,0,(size_t)
cache_info->length);
}
if (cache_info->pixels == (Quantum *) NULL)
{
cache_info->mapped=source_info.mapped;
cache_info->pixels=source_info.pixels;
}
else
{
/*
Create memory pixel cache.
*/
cache_info->type=MemoryCache;
cache_info->metacontent=(void *) NULL;
if (cache_info->metacontent_extent != 0)
cache_info->metacontent=(void *) (cache_info->pixels+
cache_info->number_channels*number_pixels);
if ((source_info.storage_class != UndefinedClass) &&
(mode != ReadMode))
{
status=ClonePixelCacheRepository(cache_info,&source_info,
exception);
RelinquishPixelCachePixels(&source_info);
}
if (image->debug != MagickFalse)
{
(void) FormatMagickSize(cache_info->length,MagickTrue,"B",
MagickPathExtent,format);
type=CommandOptionToMnemonic(MagickCacheOptions,(ssize_t)
cache_info->type);
(void) FormatLocaleString(message,MagickPathExtent,
"open %s (%s %s, %.20gx%.20gx%.20g %s)",
cache_info->filename,cache_info->mapped != MagickFalse ?
"Anonymous" : "Heap",type,(double) cache_info->columns,
(double) cache_info->rows,(double)
cache_info->number_channels,format);
(void) LogMagickEvent(CacheEvent,GetMagickModule(),"%s",
message);
}
cache_info->storage_class=image->storage_class;
if (status == 0)
{
cache_info->type=UndefinedCache;
return(MagickFalse);
}
return(MagickTrue);
}
}
}
status=AcquireMagickResource(DiskResource,cache_info->length);
hosts=(const char *) GetImageRegistry(StringRegistryType,"cache:hosts",
exception);
if ((status == MagickFalse) && (hosts != (const char *) NULL))
{
DistributeCacheInfo
*server_info;
/*
Distribute the pixel cache to a remote server.
*/
server_info=AcquireDistributeCacheInfo(exception);
if (server_info != (DistributeCacheInfo *) NULL)
{
status=OpenDistributePixelCache(server_info,image);
if (status == MagickFalse)
{
ThrowFileException(exception,CacheError,"UnableToOpenPixelCache",
GetDistributeCacheHostname(server_info));
server_info=DestroyDistributeCacheInfo(server_info);
}
else
{
/*
Create a distributed pixel cache.
*/
status=MagickTrue;
cache_info->type=DistributedCache;
cache_info->server_info=server_info;
(void) FormatLocaleString(cache_info->cache_filename,
MagickPathExtent,"%s:%d",GetDistributeCacheHostname(
(DistributeCacheInfo *) cache_info->server_info),
GetDistributeCachePort((DistributeCacheInfo *)
cache_info->server_info));
if ((source_info.storage_class != UndefinedClass) &&
(mode != ReadMode))
{
status=ClonePixelCacheRepository(cache_info,&source_info,
exception);
RelinquishPixelCachePixels(&source_info);
}
if (image->debug != MagickFalse)
{
(void) FormatMagickSize(cache_info->length,MagickFalse,"B",
MagickPathExtent,format);
type=CommandOptionToMnemonic(MagickCacheOptions,(ssize_t)
cache_info->type);
(void) FormatLocaleString(message,MagickPathExtent,
"open %s (%s[%d], %s, %.20gx%.20gx%.20g %s)",
cache_info->filename,cache_info->cache_filename,
GetDistributeCacheFile((DistributeCacheInfo *)
cache_info->server_info),type,(double) cache_info->columns,
(double) cache_info->rows,(double)
cache_info->number_channels,format);
(void) LogMagickEvent(CacheEvent,GetMagickModule(),"%s",
message);
}
if (status == 0)
{
cache_info->type=UndefinedCache;
return(MagickFalse);
}
return(MagickTrue);
}
}
cache_info->type=UndefinedCache;
(void) ThrowMagickException(exception,GetMagickModule(),CacheError,
"CacheResourcesExhausted","`%s'",image->filename);
return(MagickFalse);
}
/*
Create pixel cache on disk.
*/
if (status == MagickFalse)
{
cache_info->type=UndefinedCache;
(void) ThrowMagickException(exception,GetMagickModule(),CacheError,
"CacheResourcesExhausted","`%s'",image->filename);
return(MagickFalse);
}
if ((source_info.storage_class != UndefinedClass) && (mode != ReadMode) &&
(cache_info->mode != PersistMode))
{
(void) ClosePixelCacheOnDisk(cache_info);
*cache_info->cache_filename='\0';
}
if (OpenPixelCacheOnDisk(cache_info,mode) == MagickFalse)
{
cache_info->type=UndefinedCache;
ThrowFileException(exception,CacheError,"UnableToOpenPixelCache",
image->filename);
return(MagickFalse);
}
status=SetPixelCacheExtent(image,(MagickSizeType) cache_info->offset+
cache_info->length);
if (status == MagickFalse)
{
cache_info->type=UndefinedCache;
ThrowFileException(exception,CacheError,"UnableToExtendCache",
image->filename);
return(MagickFalse);
}
length=number_pixels*(cache_info->number_channels*sizeof(Quantum)+
cache_info->metacontent_extent);
if (length != (MagickSizeType) ((size_t) length))
cache_info->type=DiskCache;
else
{
status=AcquireMagickResource(MapResource,cache_info->length);
if (status == MagickFalse)
cache_info->type=DiskCache;
else
if ((cache_info->type != MapCache) && (cache_info->type != MemoryCache))
{
cache_info->type=DiskCache;
RelinquishMagickResource(MapResource,cache_info->length);
}
else
{
cache_info->pixels=(Quantum *) MapBlob(cache_info->file,mode,
cache_info->offset,(size_t) cache_info->length);
if (cache_info->pixels == (Quantum *) NULL)
{
cache_info->type=DiskCache;
cache_info->mapped=source_info.mapped;
cache_info->pixels=source_info.pixels;
RelinquishMagickResource(MapResource,cache_info->length);
}
else
{
/*
Create file-backed memory-mapped pixel cache.
*/
(void) ClosePixelCacheOnDisk(cache_info);
cache_info->type=MapCache;
cache_info->mapped=MagickTrue;
cache_info->metacontent=(void *) NULL;
if (cache_info->metacontent_extent != 0)
cache_info->metacontent=(void *) (cache_info->pixels+
cache_info->number_channels*number_pixels);
if ((source_info.storage_class != UndefinedClass) &&
(mode != ReadMode))
{
status=ClonePixelCacheRepository(cache_info,&source_info,
exception);
RelinquishPixelCachePixels(&source_info);
}
if (image->debug != MagickFalse)
{
(void) FormatMagickSize(cache_info->length,MagickTrue,"B",
MagickPathExtent,format);
type=CommandOptionToMnemonic(MagickCacheOptions,(ssize_t)
cache_info->type);
(void) FormatLocaleString(message,MagickPathExtent,
"open %s (%s[%d], %s, %.20gx%.20gx%.20g %s)",
cache_info->filename,cache_info->cache_filename,
cache_info->file,type,(double) cache_info->columns,
(double) cache_info->rows,(double)
cache_info->number_channels,format);
(void) LogMagickEvent(CacheEvent,GetMagickModule(),"%s",
message);
}
if (status == 0)
{
cache_info->type=UndefinedCache;
return(MagickFalse);
}
return(MagickTrue);
}
}
}
status=MagickTrue;
if ((source_info.storage_class != UndefinedClass) && (mode != ReadMode))
{
status=ClonePixelCacheRepository(cache_info,&source_info,exception);
RelinquishPixelCachePixels(&source_info);
}
if (image->debug != MagickFalse)
{
(void) FormatMagickSize(cache_info->length,MagickFalse,"B",
MagickPathExtent,format);
type=CommandOptionToMnemonic(MagickCacheOptions,(ssize_t)
cache_info->type);
(void) FormatLocaleString(message,MagickPathExtent,
"open %s (%s[%d], %s, %.20gx%.20gx%.20g %s)",cache_info->filename,
cache_info->cache_filename,cache_info->file,type,(double)
cache_info->columns,(double) cache_info->rows,(double)
cache_info->number_channels,format);
(void) LogMagickEvent(CacheEvent,GetMagickModule(),"%s",message);
}
if (status == 0)
{
cache_info->type=UndefinedCache;
return(MagickFalse);
}
return(MagickTrue);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ P e r s i s t P i x e l C a c h e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% PersistPixelCache() attaches to or initializes a persistent pixel cache. A
% persistent pixel cache is one that resides on disk and is not destroyed
% when the program exits.
%
% The format of the PersistPixelCache() method is:
%
% MagickBooleanType PersistPixelCache(Image *image,const char *filename,
% const MagickBooleanType attach,MagickOffsetType *offset,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o filename: the persistent pixel cache filename.
%
% o attach: A value other than zero initializes the persistent pixel cache.
%
% o initialize: A value other than zero initializes the persistent pixel
% cache.
%
% o offset: the offset in the persistent cache to store pixels.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport MagickBooleanType PersistPixelCache(Image *image,
const char *filename,const MagickBooleanType attach,MagickOffsetType *offset,
ExceptionInfo *exception)
{
CacheInfo
*magick_restrict cache_info,
*magick_restrict clone_info;
MagickBooleanType
status;
ssize_t
page_size;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(image->cache != (void *) NULL);
assert(filename != (const char *) NULL);
assert(offset != (MagickOffsetType *) NULL);
page_size=GetMagickPageSize();
cache_info=(CacheInfo *) image->cache;
assert(cache_info->signature == MagickCoreSignature);
#if defined(MAGICKCORE_OPENCL_SUPPORT)
CopyOpenCLBuffer(cache_info);
#endif
if (attach != MagickFalse)
{
/*
Attach existing persistent pixel cache.
*/
if (image->debug != MagickFalse)
(void) LogMagickEvent(CacheEvent,GetMagickModule(),
"attach persistent cache");
(void) CopyMagickString(cache_info->cache_filename,filename,
MagickPathExtent);
cache_info->type=MapCache;
cache_info->offset=(*offset);
if (OpenPixelCache(image,ReadMode,exception) == MagickFalse)
return(MagickFalse);
*offset+=cache_info->length+page_size-(cache_info->length % page_size);
return(MagickTrue);
}
/*
Clone persistent pixel cache.
*/
status=AcquireMagickResource(DiskResource,cache_info->length);
if (status == MagickFalse)
{
(void) ThrowMagickException(exception,GetMagickModule(),CacheError,
"CacheResourcesExhausted","`%s'",image->filename);
return(MagickFalse);
}
clone_info=(CacheInfo *) ClonePixelCache(cache_info);
clone_info->type=DiskCache;
(void) CopyMagickString(clone_info->cache_filename,filename,MagickPathExtent);
clone_info->file=(-1);
clone_info->storage_class=cache_info->storage_class;
clone_info->colorspace=cache_info->colorspace;
clone_info->alpha_trait=cache_info->alpha_trait;
clone_info->channels=cache_info->channels;
clone_info->columns=cache_info->columns;
clone_info->rows=cache_info->rows;
clone_info->number_channels=cache_info->number_channels;
clone_info->metacontent_extent=cache_info->metacontent_extent;
clone_info->mode=PersistMode;
clone_info->length=cache_info->length;
(void) memcpy(clone_info->channel_map,cache_info->channel_map,
MaxPixelChannels*sizeof(*cache_info->channel_map));
clone_info->offset=(*offset);
status=ClonePixelCacheRepository(clone_info,cache_info,exception);
*offset+=cache_info->length+page_size-(cache_info->length % page_size);
clone_info=(CacheInfo *) DestroyPixelCache(clone_info);
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ Q u e u e A u t h e n t i c P i x e l C a c h e N e x u s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% QueueAuthenticPixelCacheNexus() allocates an region to store image pixels as
% defined by the region rectangle and returns a pointer to the region. This
% region is subsequently transferred from the pixel cache with
% SyncAuthenticPixelsCache(). A pointer to the pixels is returned if the
% pixels are transferred, otherwise a NULL is returned.
%
% The format of the QueueAuthenticPixelCacheNexus() method is:
%
% Quantum *QueueAuthenticPixelCacheNexus(Image *image,const ssize_t x,
% const ssize_t y,const size_t columns,const size_t rows,
% const MagickBooleanType clone,NexusInfo *nexus_info,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o x,y,columns,rows: These values define the perimeter of a region of
% pixels.
%
% o nexus_info: the cache nexus to set.
%
% o clone: clone the pixel cache.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickPrivate Quantum *QueueAuthenticPixelCacheNexus(Image *image,
const ssize_t x,const ssize_t y,const size_t columns,const size_t rows,
const MagickBooleanType clone,NexusInfo *nexus_info,ExceptionInfo *exception)
{
CacheInfo
*magick_restrict cache_info;
MagickOffsetType
offset;
MagickSizeType
number_pixels;
Quantum
*magick_restrict pixels;
/*
Validate pixel cache geometry.
*/
assert(image != (const Image *) NULL);
assert(image->signature == MagickCoreSignature);
assert(image->cache != (Cache) NULL);
cache_info=(CacheInfo *) GetImagePixelCache(image,clone,exception);
if (cache_info == (Cache) NULL)
return((Quantum *) NULL);
assert(cache_info->signature == MagickCoreSignature);
if ((cache_info->columns == 0) || (cache_info->rows == 0) || (x < 0) ||
(y < 0) || (x >= (ssize_t) cache_info->columns) ||
(y >= (ssize_t) cache_info->rows))
{
(void) ThrowMagickException(exception,GetMagickModule(),CacheError,
"PixelsAreNotAuthentic","`%s'",image->filename);
return((Quantum *) NULL);
}
offset=(MagickOffsetType) y*cache_info->columns+x;
if (offset < 0)
return((Quantum *) NULL);
number_pixels=(MagickSizeType) cache_info->columns*cache_info->rows;
offset+=(MagickOffsetType) (rows-1)*cache_info->columns+columns-1;
if ((MagickSizeType) offset >= number_pixels)
return((Quantum *) NULL);
/*
Return pixel cache.
*/
pixels=SetPixelCacheNexusPixels(cache_info,WriteMode,x,y,columns,rows,
((image->channels & WriteMaskChannel) != 0) ||
((image->channels & CompositeMaskChannel) != 0) ? MagickTrue : MagickFalse,
nexus_info,exception);
return(pixels);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ Q u e u e A u t h e n t i c P i x e l s C a c h e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% QueueAuthenticPixelsCache() allocates an region to store image pixels as
% defined by the region rectangle and returns a pointer to the region. This
% region is subsequently transferred from the pixel cache with
% SyncAuthenticPixelsCache(). A pointer to the pixels is returned if the
% pixels are transferred, otherwise a NULL is returned.
%
% The format of the QueueAuthenticPixelsCache() method is:
%
% Quantum *QueueAuthenticPixelsCache(Image *image,const ssize_t x,
% const ssize_t y,const size_t columns,const size_t rows,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o x,y,columns,rows: These values define the perimeter of a region of
% pixels.
%
% o exception: return any errors or warnings in this structure.
%
*/
static Quantum *QueueAuthenticPixelsCache(Image *image,const ssize_t x,
const ssize_t y,const size_t columns,const size_t rows,
ExceptionInfo *exception)
{
CacheInfo
*magick_restrict cache_info;
const int
id = GetOpenMPThreadId();
Quantum
*magick_restrict pixels;
assert(image != (const Image *) NULL);
assert(image->signature == MagickCoreSignature);
assert(image->cache != (Cache) NULL);
cache_info=(CacheInfo *) image->cache;
assert(cache_info->signature == MagickCoreSignature);
assert(id < (int) cache_info->number_threads);
pixels=QueueAuthenticPixelCacheNexus(image,x,y,columns,rows,MagickFalse,
cache_info->nexus_info[id],exception);
return(pixels);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% Q u e u e A u t h e n t i c P i x e l s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% QueueAuthenticPixels() queues a mutable pixel region. If the region is
% successfully initialized a pointer to a Quantum array representing the
% region is returned, otherwise NULL is returned. The returned pointer may
% point to a temporary working buffer for the pixels or it may point to the
% final location of the pixels in memory.
%
% Write-only access means that any existing pixel values corresponding to
% the region are ignored. This is useful if the initial image is being
% created from scratch, or if the existing pixel values are to be
% completely replaced without need to refer to their pre-existing values.
% The application is free to read and write the pixel buffer returned by
% QueueAuthenticPixels() any way it pleases. QueueAuthenticPixels() does not
% initialize the pixel array values. Initializing pixel array values is the
% application's responsibility.
%
% Performance is maximized if the selected region is part of one row, or
% one or more full rows, since then there is opportunity to access the
% pixels in-place (without a copy) if the image is in memory, or in a
% memory-mapped file. The returned pointer must *never* be deallocated
% by the user.
%
% Pixels accessed via the returned pointer represent a simple array of type
% Quantum. If the image type is CMYK or the storage class is PseudoClass,
% call GetAuthenticMetacontent() after invoking GetAuthenticPixels() to
% obtain the meta-content (of type void) corresponding to the region.
% Once the Quantum (and/or Quantum) array has been updated, the
% changes must be saved back to the underlying image using
% SyncAuthenticPixels() or they may be lost.
%
% The format of the QueueAuthenticPixels() method is:
%
% Quantum *QueueAuthenticPixels(Image *image,const ssize_t x,
% const ssize_t y,const size_t columns,const size_t rows,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o x,y,columns,rows: These values define the perimeter of a region of
% pixels.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Quantum *QueueAuthenticPixels(Image *image,const ssize_t x,
const ssize_t y,const size_t columns,const size_t rows,
ExceptionInfo *exception)
{
CacheInfo
*magick_restrict cache_info;
const int
id = GetOpenMPThreadId();
Quantum
*magick_restrict pixels;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
assert(image->cache != (Cache) NULL);
cache_info=(CacheInfo *) image->cache;
assert(cache_info->signature == MagickCoreSignature);
if (cache_info->methods.queue_authentic_pixels_handler !=
(QueueAuthenticPixelsHandler) NULL)
{
pixels=cache_info->methods.queue_authentic_pixels_handler(image,x,y,
columns,rows,exception);
return(pixels);
}
assert(id < (int) cache_info->number_threads);
pixels=QueueAuthenticPixelCacheNexus(image,x,y,columns,rows,MagickFalse,
cache_info->nexus_info[id],exception);
return(pixels);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ R e a d P i x e l C a c h e M e t a c o n t e n t %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ReadPixelCacheMetacontent() reads metacontent from the specified region of
% the pixel cache.
%
% The format of the ReadPixelCacheMetacontent() method is:
%
% MagickBooleanType ReadPixelCacheMetacontent(CacheInfo *cache_info,
% NexusInfo *nexus_info,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o cache_info: the pixel cache.
%
% o nexus_info: the cache nexus to read the metacontent.
%
% o exception: return any errors or warnings in this structure.
%
*/
static inline MagickOffsetType ReadPixelCacheRegion(
const CacheInfo *magick_restrict cache_info,const MagickOffsetType offset,
const MagickSizeType length,unsigned char *magick_restrict buffer)
{
register MagickOffsetType
i;
ssize_t
count;
#if !defined(MAGICKCORE_HAVE_PREAD)
if (lseek(cache_info->file,offset,SEEK_SET) < 0)
return((MagickOffsetType) -1);
#endif
count=0;
for (i=0; i < (MagickOffsetType) length; i+=count)
{
#if !defined(MAGICKCORE_HAVE_PREAD)
count=read(cache_info->file,buffer+i,(size_t) MagickMin(length-i,(size_t)
SSIZE_MAX));
#else
count=pread(cache_info->file,buffer+i,(size_t) MagickMin(length-i,(size_t)
SSIZE_MAX),offset+i);
#endif
if (count <= 0)
{
count=0;
if (errno != EINTR)
break;
}
}
return(i);
}
static MagickBooleanType ReadPixelCacheMetacontent(
CacheInfo *magick_restrict cache_info,NexusInfo *magick_restrict nexus_info,
ExceptionInfo *exception)
{
MagickOffsetType
count,
offset;
MagickSizeType
extent,
length;
register ssize_t
y;
register unsigned char
*magick_restrict q;
size_t
rows;
if (cache_info->metacontent_extent == 0)
return(MagickFalse);
if (nexus_info->authentic_pixel_cache != MagickFalse)
return(MagickTrue);
offset=(MagickOffsetType) nexus_info->region.y*cache_info->columns+
nexus_info->region.x;
length=(MagickSizeType) nexus_info->region.width*
cache_info->metacontent_extent;
extent=length*nexus_info->region.height;
rows=nexus_info->region.height;
y=0;
q=(unsigned char *) nexus_info->metacontent;
switch (cache_info->type)
{
case MemoryCache:
case MapCache:
{
register unsigned char
*magick_restrict p;
/*
Read meta-content from memory.
*/
if ((cache_info->columns == nexus_info->region.width) &&
(extent == (MagickSizeType) ((size_t) extent)))
{
length=extent;
rows=1UL;
}
p=(unsigned char *) cache_info->metacontent+offset*
cache_info->metacontent_extent;
for (y=0; y < (ssize_t) rows; y++)
{
(void) memcpy(q,p,(size_t) length);
p+=cache_info->metacontent_extent*cache_info->columns;
q+=cache_info->metacontent_extent*nexus_info->region.width;
}
break;
}
case DiskCache:
{
/*
Read meta content from disk.
*/
LockSemaphoreInfo(cache_info->file_semaphore);
if (OpenPixelCacheOnDisk(cache_info,IOMode) == MagickFalse)
{
ThrowFileException(exception,FileOpenError,"UnableToOpenFile",
cache_info->cache_filename);
UnlockSemaphoreInfo(cache_info->file_semaphore);
return(MagickFalse);
}
if ((cache_info->columns == nexus_info->region.width) &&
(extent <= MagickMaxBufferExtent))
{
length=extent;
rows=1UL;
}
extent=(MagickSizeType) cache_info->columns*cache_info->rows;
for (y=0; y < (ssize_t) rows; y++)
{
count=ReadPixelCacheRegion(cache_info,cache_info->offset+extent*
cache_info->number_channels*sizeof(Quantum)+offset*
cache_info->metacontent_extent,length,(unsigned char *) q);
if (count != (MagickOffsetType) length)
break;
offset+=cache_info->columns;
q+=cache_info->metacontent_extent*nexus_info->region.width;
}
if (IsFileDescriptorLimitExceeded() != MagickFalse)
(void) ClosePixelCacheOnDisk(cache_info);
UnlockSemaphoreInfo(cache_info->file_semaphore);
break;
}
case DistributedCache:
{
RectangleInfo
region;
/*
Read metacontent from distributed cache.
*/
LockSemaphoreInfo(cache_info->file_semaphore);
region=nexus_info->region;
if ((cache_info->columns != nexus_info->region.width) ||
(extent > MagickMaxBufferExtent))
region.height=1UL;
else
{
length=extent;
rows=1UL;
}
for (y=0; y < (ssize_t) rows; y++)
{
count=ReadDistributePixelCacheMetacontent((DistributeCacheInfo *)
cache_info->server_info,®ion,length,(unsigned char *) q);
if (count != (MagickOffsetType) length)
break;
q+=cache_info->metacontent_extent*nexus_info->region.width;
region.y++;
}
UnlockSemaphoreInfo(cache_info->file_semaphore);
break;
}
default:
break;
}
if (y < (ssize_t) rows)
{
ThrowFileException(exception,CacheError,"UnableToReadPixelCache",
cache_info->cache_filename);
return(MagickFalse);
}
if ((cache_info->debug != MagickFalse) &&
(CacheTick(nexus_info->region.y,cache_info->rows) != MagickFalse))
(void) LogMagickEvent(CacheEvent,GetMagickModule(),
"%s[%.20gx%.20g%+.20g%+.20g]",cache_info->filename,(double)
nexus_info->region.width,(double) nexus_info->region.height,(double)
nexus_info->region.x,(double) nexus_info->region.y);
return(MagickTrue);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ R e a d P i x e l C a c h e P i x e l s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ReadPixelCachePixels() reads pixels from the specified region of the pixel
% cache.
%
% The format of the ReadPixelCachePixels() method is:
%
% MagickBooleanType ReadPixelCachePixels(CacheInfo *cache_info,
% NexusInfo *nexus_info,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o cache_info: the pixel cache.
%
% o nexus_info: the cache nexus to read the pixels.
%
% o exception: return any errors or warnings in this structure.
%
*/
static MagickBooleanType ReadPixelCachePixels(
CacheInfo *magick_restrict cache_info,NexusInfo *magick_restrict nexus_info,
ExceptionInfo *exception)
{
MagickOffsetType
count,
offset;
MagickSizeType
extent,
length;
register Quantum
*magick_restrict q;
register ssize_t
y;
size_t
number_channels,
rows;
if (nexus_info->authentic_pixel_cache != MagickFalse)
return(MagickTrue);
offset=(MagickOffsetType) nexus_info->region.y*cache_info->columns;
if ((ssize_t) (offset/cache_info->columns) != nexus_info->region.y)
return(MagickFalse);
offset+=nexus_info->region.x;
number_channels=cache_info->number_channels;
length=(MagickSizeType) number_channels*nexus_info->region.width*
sizeof(Quantum);
if ((length/number_channels/sizeof(Quantum)) != nexus_info->region.width)
return(MagickFalse);
rows=nexus_info->region.height;
extent=length*rows;
if ((extent == 0) || ((extent/length) != rows))
return(MagickFalse);
y=0;
q=nexus_info->pixels;
switch (cache_info->type)
{
case MemoryCache:
case MapCache:
{
register Quantum
*magick_restrict p;
/*
Read pixels from memory.
*/
if ((cache_info->columns == nexus_info->region.width) &&
(extent == (MagickSizeType) ((size_t) extent)))
{
length=extent;
rows=1UL;
}
p=cache_info->pixels+cache_info->number_channels*offset;
for (y=0; y < (ssize_t) rows; y++)
{
(void) memcpy(q,p,(size_t) length);
p+=cache_info->number_channels*cache_info->columns;
q+=cache_info->number_channels*nexus_info->region.width;
}
break;
}
case DiskCache:
{
/*
Read pixels from disk.
*/
LockSemaphoreInfo(cache_info->file_semaphore);
if (OpenPixelCacheOnDisk(cache_info,IOMode) == MagickFalse)
{
ThrowFileException(exception,FileOpenError,"UnableToOpenFile",
cache_info->cache_filename);
UnlockSemaphoreInfo(cache_info->file_semaphore);
return(MagickFalse);
}
if ((cache_info->columns == nexus_info->region.width) &&
(extent <= MagickMaxBufferExtent))
{
length=extent;
rows=1UL;
}
for (y=0; y < (ssize_t) rows; y++)
{
count=ReadPixelCacheRegion(cache_info,cache_info->offset+offset*
cache_info->number_channels*sizeof(*q),length,(unsigned char *) q);
if (count != (MagickOffsetType) length)
break;
offset+=cache_info->columns;
q+=cache_info->number_channels*nexus_info->region.width;
}
if (IsFileDescriptorLimitExceeded() != MagickFalse)
(void) ClosePixelCacheOnDisk(cache_info);
UnlockSemaphoreInfo(cache_info->file_semaphore);
break;
}
case DistributedCache:
{
RectangleInfo
region;
/*
Read pixels from distributed cache.
*/
LockSemaphoreInfo(cache_info->file_semaphore);
region=nexus_info->region;
if ((cache_info->columns != nexus_info->region.width) ||
(extent > MagickMaxBufferExtent))
region.height=1UL;
else
{
length=extent;
rows=1UL;
}
for (y=0; y < (ssize_t) rows; y++)
{
count=ReadDistributePixelCachePixels((DistributeCacheInfo *)
cache_info->server_info,®ion,length,(unsigned char *) q);
if (count != (MagickOffsetType) length)
break;
q+=cache_info->number_channels*nexus_info->region.width;
region.y++;
}
UnlockSemaphoreInfo(cache_info->file_semaphore);
break;
}
default:
break;
}
if (y < (ssize_t) rows)
{
ThrowFileException(exception,CacheError,"UnableToReadPixelCache",
cache_info->cache_filename);
return(MagickFalse);
}
if ((cache_info->debug != MagickFalse) &&
(CacheTick(nexus_info->region.y,cache_info->rows) != MagickFalse))
(void) LogMagickEvent(CacheEvent,GetMagickModule(),
"%s[%.20gx%.20g%+.20g%+.20g]",cache_info->filename,(double)
nexus_info->region.width,(double) nexus_info->region.height,(double)
nexus_info->region.x,(double) nexus_info->region.y);
return(MagickTrue);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ R e f e r e n c e P i x e l C a c h e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ReferencePixelCache() increments the reference count associated with the
% pixel cache returning a pointer to the cache.
%
% The format of the ReferencePixelCache method is:
%
% Cache ReferencePixelCache(Cache cache_info)
%
% A description of each parameter follows:
%
% o cache_info: the pixel cache.
%
*/
MagickPrivate Cache ReferencePixelCache(Cache cache)
{
CacheInfo
*magick_restrict cache_info;
assert(cache != (Cache *) NULL);
cache_info=(CacheInfo *) cache;
assert(cache_info->signature == MagickCoreSignature);
LockSemaphoreInfo(cache_info->semaphore);
cache_info->reference_count++;
UnlockSemaphoreInfo(cache_info->semaphore);
return(cache_info);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ R e s e t P i x e l C a c h e C h a n n e l s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ResetPixelCacheChannels() resets the pixel cache channels.
%
% The format of the ResetPixelCacheChannels method is:
%
% void ResetPixelCacheChannels(Image *)
%
% A description of each parameter follows:
%
% o image: the image.
%
*/
MagickPrivate void ResetPixelCacheChannels(Image *image)
{
CacheInfo
*magick_restrict cache_info;
assert(image != (const Image *) NULL);
assert(image->signature == MagickCoreSignature);
assert(image->cache != (Cache) NULL);
cache_info=(CacheInfo *) image->cache;
assert(cache_info->signature == MagickCoreSignature);
cache_info->number_channels=GetPixelChannels(image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ R e s e t C a c h e A n o n y m o u s M e m o r y %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ResetCacheAnonymousMemory() resets the anonymous_memory value.
%
% The format of the ResetCacheAnonymousMemory method is:
%
% void ResetCacheAnonymousMemory(void)
%
*/
MagickPrivate void ResetCacheAnonymousMemory(void)
{
cache_anonymous_memory=0;
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ R e s e t P i x e l C a c h e E p o c h %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ResetPixelCacheEpoch() resets the pixel cache epoch.
%
% The format of the ResetPixelCacheEpoch method is:
%
% void ResetPixelCacheEpoch(void)
%
*/
MagickPrivate void ResetPixelCacheEpoch(void)
{
cache_epoch=0;
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ S e t P i x e l C a c h e M e t h o d s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% SetPixelCacheMethods() sets the image pixel methods to the specified ones.
%
% The format of the SetPixelCacheMethods() method is:
%
% SetPixelCacheMethods(Cache *,CacheMethods *cache_methods)
%
% A description of each parameter follows:
%
% o cache: the pixel cache.
%
% o cache_methods: Specifies a pointer to a CacheMethods structure.
%
*/
MagickPrivate void SetPixelCacheMethods(Cache cache,CacheMethods *cache_methods)
{
CacheInfo
*magick_restrict cache_info;
GetOneAuthenticPixelFromHandler
get_one_authentic_pixel_from_handler;
GetOneVirtualPixelFromHandler
get_one_virtual_pixel_from_handler;
/*
Set cache pixel methods.
*/
assert(cache != (Cache) NULL);
assert(cache_methods != (CacheMethods *) NULL);
cache_info=(CacheInfo *) cache;
assert(cache_info->signature == MagickCoreSignature);
if (cache_info->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",
cache_info->filename);
if (cache_methods->get_virtual_pixel_handler != (GetVirtualPixelHandler) NULL)
cache_info->methods.get_virtual_pixel_handler=
cache_methods->get_virtual_pixel_handler;
if (cache_methods->destroy_pixel_handler != (DestroyPixelHandler) NULL)
cache_info->methods.destroy_pixel_handler=
cache_methods->destroy_pixel_handler;
if (cache_methods->get_virtual_metacontent_from_handler !=
(GetVirtualMetacontentFromHandler) NULL)
cache_info->methods.get_virtual_metacontent_from_handler=
cache_methods->get_virtual_metacontent_from_handler;
if (cache_methods->get_authentic_pixels_handler !=
(GetAuthenticPixelsHandler) NULL)
cache_info->methods.get_authentic_pixels_handler=
cache_methods->get_authentic_pixels_handler;
if (cache_methods->queue_authentic_pixels_handler !=
(QueueAuthenticPixelsHandler) NULL)
cache_info->methods.queue_authentic_pixels_handler=
cache_methods->queue_authentic_pixels_handler;
if (cache_methods->sync_authentic_pixels_handler !=
(SyncAuthenticPixelsHandler) NULL)
cache_info->methods.sync_authentic_pixels_handler=
cache_methods->sync_authentic_pixels_handler;
if (cache_methods->get_authentic_pixels_from_handler !=
(GetAuthenticPixelsFromHandler) NULL)
cache_info->methods.get_authentic_pixels_from_handler=
cache_methods->get_authentic_pixels_from_handler;
if (cache_methods->get_authentic_metacontent_from_handler !=
(GetAuthenticMetacontentFromHandler) NULL)
cache_info->methods.get_authentic_metacontent_from_handler=
cache_methods->get_authentic_metacontent_from_handler;
get_one_virtual_pixel_from_handler=
cache_info->methods.get_one_virtual_pixel_from_handler;
if (get_one_virtual_pixel_from_handler !=
(GetOneVirtualPixelFromHandler) NULL)
cache_info->methods.get_one_virtual_pixel_from_handler=
cache_methods->get_one_virtual_pixel_from_handler;
get_one_authentic_pixel_from_handler=
cache_methods->get_one_authentic_pixel_from_handler;
if (get_one_authentic_pixel_from_handler !=
(GetOneAuthenticPixelFromHandler) NULL)
cache_info->methods.get_one_authentic_pixel_from_handler=
cache_methods->get_one_authentic_pixel_from_handler;
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ S e t P i x e l C a c h e N e x u s P i x e l s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% SetPixelCacheNexusPixels() defines the region of the cache for the
% specified cache nexus.
%
% The format of the SetPixelCacheNexusPixels() method is:
%
% Quantum SetPixelCacheNexusPixels(
% const CacheInfo *magick_restrict cache_info,const MapMode mode,
% const ssize_t x,const ssize_t y,const size_t width,const size_t height,
% const MagickBooleanType buffered,NexusInfo *magick_restrict nexus_info,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o cache_info: the pixel cache.
%
% o mode: ReadMode, WriteMode, or IOMode.
%
% o x,y,width,height: define the region of this particular cache nexus.
%
% o buffered: if true, nexus pixels are buffered.
%
% o nexus_info: the cache nexus to set.
%
% o exception: return any errors or warnings in this structure.
%
*/
static inline MagickBooleanType AcquireCacheNexusPixels(
const CacheInfo *magick_restrict cache_info,const MagickSizeType length,
NexusInfo *magick_restrict nexus_info,ExceptionInfo *exception)
{
if (length != (MagickSizeType) ((size_t) length))
{
(void) ThrowMagickException(exception,GetMagickModule(),
ResourceLimitError,"PixelCacheAllocationFailed","`%s'",
cache_info->filename);
return(MagickFalse);
}
nexus_info->length=0;
nexus_info->mapped=MagickFalse;
if (cache_anonymous_memory <= 0)
{
nexus_info->cache=(Quantum *) MagickAssumeAligned(AcquireAlignedMemory(1,
(size_t) length));
if (nexus_info->cache != (Quantum *) NULL)
(void) memset(nexus_info->cache,0,(size_t) length);
}
else
{
nexus_info->cache=(Quantum *) MapBlob(-1,IOMode,0,(size_t) length);
if (nexus_info->cache != (Quantum *) NULL)
nexus_info->mapped=MagickTrue;
}
if (nexus_info->cache == (Quantum *) NULL)
{
(void) ThrowMagickException(exception,GetMagickModule(),
ResourceLimitError,"PixelCacheAllocationFailed","`%s'",
cache_info->filename);
return(MagickFalse);
}
nexus_info->length=length;
return(MagickTrue);
}
static inline void PrefetchPixelCacheNexusPixels(const NexusInfo *nexus_info,
const MapMode mode)
{
if (nexus_info->length < CACHE_LINE_SIZE)
return;
if (mode == ReadMode)
{
MagickCachePrefetch((unsigned char *) nexus_info->pixels+CACHE_LINE_SIZE,
0,1);
return;
}
MagickCachePrefetch((unsigned char *) nexus_info->pixels+CACHE_LINE_SIZE,1,1);
}
static Quantum *SetPixelCacheNexusPixels(
const CacheInfo *magick_restrict cache_info,const MapMode mode,
const ssize_t x,const ssize_t y,const size_t width,const size_t height,
const MagickBooleanType buffered,NexusInfo *magick_restrict nexus_info,
ExceptionInfo *exception)
{
MagickBooleanType
status;
MagickSizeType
length,
number_pixels;
assert(cache_info != (const CacheInfo *) NULL);
assert(cache_info->signature == MagickCoreSignature);
if (cache_info->type == UndefinedCache)
return((Quantum *) NULL);
assert(nexus_info->signature == MagickCoreSignature);
(void) memset(&nexus_info->region,0,sizeof(nexus_info->region));
if ((width == 0) || (height == 0))
{
(void) ThrowMagickException(exception,GetMagickModule(),CacheError,
"NoPixelsDefinedInCache","`%s'",cache_info->filename);
return((Quantum *) NULL);
}
if (((cache_info->type == MemoryCache) || (cache_info->type == MapCache)) &&
(buffered == MagickFalse))
{
if (((x >= 0) && (y >= 0) &&
(((ssize_t) height+y-1) < (ssize_t) cache_info->rows)) &&
(((x == 0) && (width == cache_info->columns)) || ((height == 1) &&
(((ssize_t) width+x-1) < (ssize_t) cache_info->columns))))
{
MagickOffsetType
offset;
/*
Pixels are accessed directly from memory.
*/
offset=(MagickOffsetType) y*cache_info->columns+x;
nexus_info->pixels=cache_info->pixels+cache_info->number_channels*
offset;
nexus_info->metacontent=(void *) NULL;
if (cache_info->metacontent_extent != 0)
nexus_info->metacontent=(unsigned char *) cache_info->metacontent+
offset*cache_info->metacontent_extent;
nexus_info->region.width=width;
nexus_info->region.height=height;
nexus_info->region.x=x;
nexus_info->region.y=y;
nexus_info->authentic_pixel_cache=MagickTrue;
PrefetchPixelCacheNexusPixels(nexus_info,mode);
return(nexus_info->pixels);
}
}
/*
Pixels are stored in a staging region until they are synced to the cache.
*/
if (((MagickSizeType) width > cache_info->width_limit) ||
((MagickSizeType) height > cache_info->height_limit))
{
(void) ThrowMagickException(exception,GetMagickModule(),ImageError,
"WidthOrHeightExceedsLimit","`%s'",cache_info->filename);
return((Quantum *) NULL);
}
number_pixels=(MagickSizeType) width*height;
length=MagickMax(number_pixels,MagickMax(cache_info->columns,
cache_info->rows))*cache_info->number_channels*sizeof(*nexus_info->pixels);
if (cache_info->metacontent_extent != 0)
length+=number_pixels*cache_info->metacontent_extent;
status=MagickTrue;
if (nexus_info->cache == (Quantum *) NULL)
status=AcquireCacheNexusPixels(cache_info,length,nexus_info,exception);
else
if (nexus_info->length < length)
{
RelinquishCacheNexusPixels(nexus_info);
status=AcquireCacheNexusPixels(cache_info,length,nexus_info,exception);
}
if (status == MagickFalse)
return((Quantum *) NULL);
nexus_info->pixels=nexus_info->cache;
nexus_info->metacontent=(void *) NULL;
if (cache_info->metacontent_extent != 0)
nexus_info->metacontent=(void *) (nexus_info->pixels+
cache_info->number_channels*number_pixels);
nexus_info->region.width=width;
nexus_info->region.height=height;
nexus_info->region.x=x;
nexus_info->region.y=y;
nexus_info->authentic_pixel_cache=cache_info->type == PingCache ?
MagickTrue : MagickFalse;
PrefetchPixelCacheNexusPixels(nexus_info,mode);
return(nexus_info->pixels);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S e t P i x e l C a c h e V i r t u a l M e t h o d %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% SetPixelCacheVirtualMethod() sets the "virtual pixels" method for the
% pixel cache and returns the previous setting. A virtual pixel is any pixel
% access that is outside the boundaries of the image cache.
%
% The format of the SetPixelCacheVirtualMethod() method is:
%
% VirtualPixelMethod SetPixelCacheVirtualMethod(Image *image,
% const VirtualPixelMethod virtual_pixel_method,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o virtual_pixel_method: choose the type of virtual pixel.
%
% o exception: return any errors or warnings in this structure.
%
*/
static MagickBooleanType SetCacheAlphaChannel(Image *image,const Quantum alpha,
ExceptionInfo *exception)
{
CacheInfo
*magick_restrict cache_info;
CacheView
*magick_restrict image_view;
MagickBooleanType
status;
ssize_t
y;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(image->cache != (Cache) NULL);
cache_info=(CacheInfo *) image->cache;
assert(cache_info->signature == MagickCoreSignature);
image->alpha_trait=BlendPixelTrait;
status=MagickTrue;
image_view=AcquireVirtualCacheView(image,exception); /* must be virtual */
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(status) \
magick_number_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
register Quantum
*magick_restrict q;
register ssize_t
x;
if (status == MagickFalse)
continue;
q=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,exception);
if (q == (Quantum *) NULL)
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
SetPixelAlpha(image,alpha,q);
q+=GetPixelChannels(image);
}
status=SyncCacheViewAuthenticPixels(image_view,exception);
}
image_view=DestroyCacheView(image_view);
return(status);
}
MagickPrivate VirtualPixelMethod SetPixelCacheVirtualMethod(Image *image,
const VirtualPixelMethod virtual_pixel_method,ExceptionInfo *exception)
{
CacheInfo
*magick_restrict cache_info;
VirtualPixelMethod
method;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(image->cache != (Cache) NULL);
cache_info=(CacheInfo *) image->cache;
assert(cache_info->signature == MagickCoreSignature);
method=cache_info->virtual_pixel_method;
cache_info->virtual_pixel_method=virtual_pixel_method;
if ((image->columns != 0) && (image->rows != 0))
switch (virtual_pixel_method)
{
case BackgroundVirtualPixelMethod:
{
if ((image->background_color.alpha_trait != UndefinedPixelTrait) &&
(image->alpha_trait == UndefinedPixelTrait))
(void) SetCacheAlphaChannel(image,OpaqueAlpha,exception);
if ((IsPixelInfoGray(&image->background_color) == MagickFalse) &&
(IsGrayColorspace(image->colorspace) != MagickFalse))
(void) SetImageColorspace(image,sRGBColorspace,exception);
break;
}
case TransparentVirtualPixelMethod:
{
if (image->alpha_trait == UndefinedPixelTrait)
(void) SetCacheAlphaChannel(image,OpaqueAlpha,exception);
break;
}
default:
break;
}
return(method);
}
#if defined(MAGICKCORE_OPENCL_SUPPORT)
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ S y n c A u t h e n t i c O p e n C L B u f f e r %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% SyncAuthenticOpenCLBuffer() makes sure that all the OpenCL operations have
% been completed and updates the host memory.
%
% The format of the SyncAuthenticOpenCLBuffer() method is:
%
% void SyncAuthenticOpenCLBuffer(const Image *image)
%
% A description of each parameter follows:
%
% o image: the image.
%
*/
static void CopyOpenCLBuffer(CacheInfo *magick_restrict cache_info)
{
assert(cache_info != (CacheInfo *) NULL);
assert(cache_info->signature == MagickCoreSignature);
if ((cache_info->type != MemoryCache) ||
(cache_info->opencl == (MagickCLCacheInfo) NULL))
return;
/*
Ensure single threaded access to OpenCL environment.
*/
LockSemaphoreInfo(cache_info->semaphore);
cache_info->opencl=CopyMagickCLCacheInfo(cache_info->opencl);
UnlockSemaphoreInfo(cache_info->semaphore);
}
MagickPrivate void SyncAuthenticOpenCLBuffer(const Image *image)
{
CacheInfo
*magick_restrict cache_info;
assert(image != (const Image *) NULL);
cache_info=(CacheInfo *) image->cache;
CopyOpenCLBuffer(cache_info);
}
#endif
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ S y n c A u t h e n t i c P i x e l C a c h e N e x u s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% SyncAuthenticPixelCacheNexus() saves the authentic image pixels to the
% in-memory or disk cache. The method returns MagickTrue if the pixel region
% is synced, otherwise MagickFalse.
%
% The format of the SyncAuthenticPixelCacheNexus() method is:
%
% MagickBooleanType SyncAuthenticPixelCacheNexus(Image *image,
% NexusInfo *nexus_info,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o nexus_info: the cache nexus to sync.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickPrivate MagickBooleanType SyncAuthenticPixelCacheNexus(Image *image,
NexusInfo *magick_restrict nexus_info,ExceptionInfo *exception)
{
CacheInfo
*magick_restrict cache_info;
MagickBooleanType
status;
/*
Transfer pixels to the cache.
*/
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->cache == (Cache) NULL)
ThrowBinaryException(CacheError,"PixelCacheIsNotOpen",image->filename);
cache_info=(CacheInfo *) image->cache;
assert(cache_info->signature == MagickCoreSignature);
if (cache_info->type == UndefinedCache)
return(MagickFalse);
if (image->mask_trait != UpdatePixelTrait)
{
if (((image->channels & WriteMaskChannel) != 0) &&
(ClipPixelCacheNexus(image,nexus_info,exception) == MagickFalse))
return(MagickFalse);
if (((image->channels & CompositeMaskChannel) != 0) &&
(MaskPixelCacheNexus(image,nexus_info,exception) == MagickFalse))
return(MagickFalse);
}
if (nexus_info->authentic_pixel_cache != MagickFalse)
{
if (image->taint == MagickFalse)
image->taint=MagickTrue;
return(MagickTrue);
}
assert(cache_info->signature == MagickCoreSignature);
status=WritePixelCachePixels(cache_info,nexus_info,exception);
if ((cache_info->metacontent_extent != 0) &&
(WritePixelCacheMetacontent(cache_info,nexus_info,exception) == MagickFalse))
return(MagickFalse);
if ((status != MagickFalse) && (image->taint == MagickFalse))
image->taint=MagickTrue;
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ S y n c A u t h e n t i c P i x e l C a c h e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% SyncAuthenticPixelsCache() saves the authentic image pixels to the in-memory
% or disk cache. The method returns MagickTrue if the pixel region is synced,
% otherwise MagickFalse.
%
% The format of the SyncAuthenticPixelsCache() method is:
%
% MagickBooleanType SyncAuthenticPixelsCache(Image *image,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o exception: return any errors or warnings in this structure.
%
*/
static MagickBooleanType SyncAuthenticPixelsCache(Image *image,
ExceptionInfo *exception)
{
CacheInfo
*magick_restrict cache_info;
const int
id = GetOpenMPThreadId();
MagickBooleanType
status;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
assert(image->cache != (Cache) NULL);
cache_info=(CacheInfo *) image->cache;
assert(cache_info->signature == MagickCoreSignature);
assert(id < (int) cache_info->number_threads);
status=SyncAuthenticPixelCacheNexus(image,cache_info->nexus_info[id],
exception);
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S y n c A u t h e n t i c P i x e l s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% SyncAuthenticPixels() saves the image pixels to the in-memory or disk cache.
% The method returns MagickTrue if the pixel region is flushed, otherwise
% MagickFalse.
%
% The format of the SyncAuthenticPixels() method is:
%
% MagickBooleanType SyncAuthenticPixels(Image *image,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport MagickBooleanType SyncAuthenticPixels(Image *image,
ExceptionInfo *exception)
{
CacheInfo
*magick_restrict cache_info;
const int
id = GetOpenMPThreadId();
MagickBooleanType
status;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
assert(image->cache != (Cache) NULL);
cache_info=(CacheInfo *) image->cache;
assert(cache_info->signature == MagickCoreSignature);
if (cache_info->methods.sync_authentic_pixels_handler != (SyncAuthenticPixelsHandler) NULL)
{
status=cache_info->methods.sync_authentic_pixels_handler(image,
exception);
return(status);
}
assert(id < (int) cache_info->number_threads);
status=SyncAuthenticPixelCacheNexus(image,cache_info->nexus_info[id],
exception);
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ S y n c I m a g e P i x e l C a c h e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% SyncImagePixelCache() saves the image pixels to the in-memory or disk cache.
% The method returns MagickTrue if the pixel region is flushed, otherwise
% MagickFalse.
%
% The format of the SyncImagePixelCache() method is:
%
% MagickBooleanType SyncImagePixelCache(Image *image,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickPrivate MagickBooleanType SyncImagePixelCache(Image *image,
ExceptionInfo *exception)
{
CacheInfo
*magick_restrict cache_info;
assert(image != (Image *) NULL);
assert(exception != (ExceptionInfo *) NULL);
cache_info=(CacheInfo *) GetImagePixelCache(image,MagickTrue,exception);
return(cache_info == (CacheInfo *) NULL ? MagickFalse : MagickTrue);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ W r i t e P i x e l C a c h e M e t a c o n t e n t %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% WritePixelCacheMetacontent() writes the meta-content to the specified region
% of the pixel cache.
%
% The format of the WritePixelCacheMetacontent() method is:
%
% MagickBooleanType WritePixelCacheMetacontent(CacheInfo *cache_info,
% NexusInfo *nexus_info,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o cache_info: the pixel cache.
%
% o nexus_info: the cache nexus to write the meta-content.
%
% o exception: return any errors or warnings in this structure.
%
*/
static MagickBooleanType WritePixelCacheMetacontent(CacheInfo *cache_info,
NexusInfo *magick_restrict nexus_info,ExceptionInfo *exception)
{
MagickOffsetType
count,
offset;
MagickSizeType
extent,
length;
register const unsigned char
*magick_restrict p;
register ssize_t
y;
size_t
rows;
if (cache_info->metacontent_extent == 0)
return(MagickFalse);
if (nexus_info->authentic_pixel_cache != MagickFalse)
return(MagickTrue);
offset=(MagickOffsetType) nexus_info->region.y*cache_info->columns+
nexus_info->region.x;
length=(MagickSizeType) nexus_info->region.width*
cache_info->metacontent_extent;
extent=(MagickSizeType) length*nexus_info->region.height;
rows=nexus_info->region.height;
y=0;
p=(unsigned char *) nexus_info->metacontent;
switch (cache_info->type)
{
case MemoryCache:
case MapCache:
{
register unsigned char
*magick_restrict q;
/*
Write associated pixels to memory.
*/
if ((cache_info->columns == nexus_info->region.width) &&
(extent == (MagickSizeType) ((size_t) extent)))
{
length=extent;
rows=1UL;
}
q=(unsigned char *) cache_info->metacontent+offset*
cache_info->metacontent_extent;
for (y=0; y < (ssize_t) rows; y++)
{
(void) memcpy(q,p,(size_t) length);
p+=nexus_info->region.width*cache_info->metacontent_extent;
q+=cache_info->columns*cache_info->metacontent_extent;
}
break;
}
case DiskCache:
{
/*
Write associated pixels to disk.
*/
LockSemaphoreInfo(cache_info->file_semaphore);
if (OpenPixelCacheOnDisk(cache_info,IOMode) == MagickFalse)
{
ThrowFileException(exception,FileOpenError,"UnableToOpenFile",
cache_info->cache_filename);
UnlockSemaphoreInfo(cache_info->file_semaphore);
return(MagickFalse);
}
if ((cache_info->columns == nexus_info->region.width) &&
(extent <= MagickMaxBufferExtent))
{
length=extent;
rows=1UL;
}
extent=(MagickSizeType) cache_info->columns*cache_info->rows;
for (y=0; y < (ssize_t) rows; y++)
{
count=WritePixelCacheRegion(cache_info,cache_info->offset+extent*
cache_info->number_channels*sizeof(Quantum)+offset*
cache_info->metacontent_extent,length,(const unsigned char *) p);
if (count != (MagickOffsetType) length)
break;
p+=cache_info->metacontent_extent*nexus_info->region.width;
offset+=cache_info->columns;
}
if (IsFileDescriptorLimitExceeded() != MagickFalse)
(void) ClosePixelCacheOnDisk(cache_info);
UnlockSemaphoreInfo(cache_info->file_semaphore);
break;
}
case DistributedCache:
{
RectangleInfo
region;
/*
Write metacontent to distributed cache.
*/
LockSemaphoreInfo(cache_info->file_semaphore);
region=nexus_info->region;
if ((cache_info->columns != nexus_info->region.width) ||
(extent > MagickMaxBufferExtent))
region.height=1UL;
else
{
length=extent;
rows=1UL;
}
for (y=0; y < (ssize_t) rows; y++)
{
count=WriteDistributePixelCacheMetacontent((DistributeCacheInfo *)
cache_info->server_info,®ion,length,(const unsigned char *) p);
if (count != (MagickOffsetType) length)
break;
p+=cache_info->metacontent_extent*nexus_info->region.width;
region.y++;
}
UnlockSemaphoreInfo(cache_info->file_semaphore);
break;
}
default:
break;
}
if (y < (ssize_t) rows)
{
ThrowFileException(exception,CacheError,"UnableToWritePixelCache",
cache_info->cache_filename);
return(MagickFalse);
}
if ((cache_info->debug != MagickFalse) &&
(CacheTick(nexus_info->region.y,cache_info->rows) != MagickFalse))
(void) LogMagickEvent(CacheEvent,GetMagickModule(),
"%s[%.20gx%.20g%+.20g%+.20g]",cache_info->filename,(double)
nexus_info->region.width,(double) nexus_info->region.height,(double)
nexus_info->region.x,(double) nexus_info->region.y);
return(MagickTrue);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ W r i t e C a c h e P i x e l s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% WritePixelCachePixels() writes image pixels to the specified region of the
% pixel cache.
%
% The format of the WritePixelCachePixels() method is:
%
% MagickBooleanType WritePixelCachePixels(CacheInfo *cache_info,
% NexusInfo *nexus_info,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o cache_info: the pixel cache.
%
% o nexus_info: the cache nexus to write the pixels.
%
% o exception: return any errors or warnings in this structure.
%
*/
static MagickBooleanType WritePixelCachePixels(
CacheInfo *magick_restrict cache_info,NexusInfo *magick_restrict nexus_info,
ExceptionInfo *exception)
{
MagickOffsetType
count,
offset;
MagickSizeType
extent,
length;
register const Quantum
*magick_restrict p;
register ssize_t
y;
size_t
rows;
if (nexus_info->authentic_pixel_cache != MagickFalse)
return(MagickTrue);
offset=(MagickOffsetType) nexus_info->region.y*cache_info->columns+
nexus_info->region.x;
length=(MagickSizeType) cache_info->number_channels*nexus_info->region.width*
sizeof(Quantum);
extent=length*nexus_info->region.height;
rows=nexus_info->region.height;
y=0;
p=nexus_info->pixels;
switch (cache_info->type)
{
case MemoryCache:
case MapCache:
{
register Quantum
*magick_restrict q;
/*
Write pixels to memory.
*/
if ((cache_info->columns == nexus_info->region.width) &&
(extent == (MagickSizeType) ((size_t) extent)))
{
length=extent;
rows=1UL;
}
q=cache_info->pixels+cache_info->number_channels*offset;
for (y=0; y < (ssize_t) rows; y++)
{
(void) memcpy(q,p,(size_t) length);
p+=cache_info->number_channels*nexus_info->region.width;
q+=cache_info->number_channels*cache_info->columns;
}
break;
}
case DiskCache:
{
/*
Write pixels to disk.
*/
LockSemaphoreInfo(cache_info->file_semaphore);
if (OpenPixelCacheOnDisk(cache_info,IOMode) == MagickFalse)
{
ThrowFileException(exception,FileOpenError,"UnableToOpenFile",
cache_info->cache_filename);
UnlockSemaphoreInfo(cache_info->file_semaphore);
return(MagickFalse);
}
if ((cache_info->columns == nexus_info->region.width) &&
(extent <= MagickMaxBufferExtent))
{
length=extent;
rows=1UL;
}
for (y=0; y < (ssize_t) rows; y++)
{
count=WritePixelCacheRegion(cache_info,cache_info->offset+offset*
cache_info->number_channels*sizeof(*p),length,(const unsigned char *)
p);
if (count != (MagickOffsetType) length)
break;
p+=cache_info->number_channels*nexus_info->region.width;
offset+=cache_info->columns;
}
if (IsFileDescriptorLimitExceeded() != MagickFalse)
(void) ClosePixelCacheOnDisk(cache_info);
UnlockSemaphoreInfo(cache_info->file_semaphore);
break;
}
case DistributedCache:
{
RectangleInfo
region;
/*
Write pixels to distributed cache.
*/
LockSemaphoreInfo(cache_info->file_semaphore);
region=nexus_info->region;
if ((cache_info->columns != nexus_info->region.width) ||
(extent > MagickMaxBufferExtent))
region.height=1UL;
else
{
length=extent;
rows=1UL;
}
for (y=0; y < (ssize_t) rows; y++)
{
count=WriteDistributePixelCachePixels((DistributeCacheInfo *)
cache_info->server_info,®ion,length,(const unsigned char *) p);
if (count != (MagickOffsetType) length)
break;
p+=cache_info->number_channels*nexus_info->region.width;
region.y++;
}
UnlockSemaphoreInfo(cache_info->file_semaphore);
break;
}
default:
break;
}
if (y < (ssize_t) rows)
{
ThrowFileException(exception,CacheError,"UnableToWritePixelCache",
cache_info->cache_filename);
return(MagickFalse);
}
if ((cache_info->debug != MagickFalse) &&
(CacheTick(nexus_info->region.y,cache_info->rows) != MagickFalse))
(void) LogMagickEvent(CacheEvent,GetMagickModule(),
"%s[%.20gx%.20g%+.20g%+.20g]",cache_info->filename,(double)
nexus_info->region.width,(double) nexus_info->region.height,(double)
nexus_info->region.x,(double) nexus_info->region.y);
return(MagickTrue);
}
|
int_array.c | /******************************************************************************
* Copyright (c) 1998 Lawrence Livermore National Security, LLC and other
* HYPRE Project Developers. See the top-level COPYRIGHT file for details.
*
* SPDX-License-Identifier: (Apache-2.0 OR MIT)
******************************************************************************/
#include "_hypre_utilities.h"
#include "_hypre_utilities.hpp"
/******************************************************************************
*
* Routines for hypre_IntArray struct for holding an array of integers
*
*****************************************************************************/
/*--------------------------------------------------------------------------
* hypre_IntArrayCreate
*--------------------------------------------------------------------------*/
hypre_IntArray *
hypre_IntArrayCreate( HYPRE_Int size )
{
hypre_IntArray *array;
array = hypre_CTAlloc(hypre_IntArray, 1, HYPRE_MEMORY_HOST);
hypre_IntArrayData(array) = NULL;
hypre_IntArraySize(array) = size;
hypre_IntArrayMemoryLocation(array) = hypre_HandleMemoryLocation(hypre_handle());
return array;
}
/*--------------------------------------------------------------------------
* hypre_IntArrayDestroy
*--------------------------------------------------------------------------*/
HYPRE_Int
hypre_IntArrayDestroy( hypre_IntArray *array )
{
HYPRE_Int ierr = 0;
if (array)
{
HYPRE_MemoryLocation memory_location = hypre_IntArrayMemoryLocation(array);
hypre_TFree(hypre_IntArrayData(array), memory_location);
hypre_TFree(array, HYPRE_MEMORY_HOST);
}
return ierr;
}
/*--------------------------------------------------------------------------
* hypre_IntArrayInitialize
*--------------------------------------------------------------------------*/
HYPRE_Int
hypre_IntArrayInitialize_v2( hypre_IntArray *array, HYPRE_MemoryLocation memory_location )
{
HYPRE_Int size = hypre_IntArraySize(array);
HYPRE_Int ierr = 0;
hypre_IntArrayMemoryLocation(array) = memory_location;
/* Caveat: for pre-existing data, the memory location must be guaranteed
* to be consistent with `memory_location'
* Otherwise, mismatches will exist and problems will be encountered
* when being used, and freed */
if ( !hypre_IntArrayData(array) )
{
hypre_IntArrayData(array) = hypre_CTAlloc(HYPRE_Int, size, memory_location);
}
return ierr;
}
HYPRE_Int
hypre_IntArrayInitialize( hypre_IntArray *array )
{
HYPRE_Int ierr;
ierr = hypre_IntArrayInitialize_v2( array, hypre_IntArrayMemoryLocation(array) );
return ierr;
}
/*--------------------------------------------------------------------------
* hypre_IntArrayCopy
* copies data from x to y
* if size of x is larger than y only the first size_y elements of x are
* copied to y
*--------------------------------------------------------------------------*/
HYPRE_Int
hypre_IntArrayCopy( hypre_IntArray *x,
hypre_IntArray *y )
{
HYPRE_Int ierr = 0;
size_t size = hypre_min( hypre_IntArraySize(x), hypre_IntArraySize(y) );
hypre_TMemcpy( hypre_IntArrayData(y),
hypre_IntArrayData(x),
HYPRE_Int,
size,
hypre_IntArrayMemoryLocation(y),
hypre_IntArrayMemoryLocation(x) );
return ierr;
}
/*--------------------------------------------------------------------------
* hypre_IntArrayCloneDeep
* Returns a complete copy of x - a deep copy, with its own copy of the data.
*--------------------------------------------------------------------------*/
hypre_IntArray *
hypre_IntArrayCloneDeep_v2( hypre_IntArray *x, HYPRE_MemoryLocation memory_location )
{
HYPRE_Int size = hypre_IntArraySize(x);
hypre_IntArray *y = hypre_IntArrayCreate( size );
hypre_IntArrayInitialize_v2(y, memory_location);
hypre_IntArrayCopy( x, y );
return y;
}
hypre_IntArray *
hypre_IntArrayCloneDeep( hypre_IntArray *x )
{
return hypre_IntArrayCloneDeep_v2(x, hypre_IntArrayMemoryLocation(x));
}
/*--------------------------------------------------------------------------
* hypre_IntArraySetConstantValues
*--------------------------------------------------------------------------*/
HYPRE_Int
hypre_IntArraySetConstantValues( hypre_IntArray *v,
HYPRE_Int value )
{
HYPRE_Int *array_data = hypre_IntArrayData(v);
HYPRE_Int size = hypre_IntArraySize(v);
HYPRE_Int ierr = 0;
#if defined(HYPRE_USING_CUDA) || defined(HYPRE_USING_HIP)
if (size > 0)
{
HYPRE_THRUST_CALL( fill_n, array_data, size, value );
}
#else
HYPRE_Int i;
#if defined(HYPRE_USING_DEVICE_OPENMP)
#pragma omp target teams distribute parallel for private(i) is_device_ptr(array_data)
#elif defined(HYPRE_USING_OPENMP)
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
#endif
for (i = 0; i < size; i++)
{
array_data[i] = value;
}
#endif /* defined(HYPRE_USING_CUDA) || defined(HYPRE_USING_HIP) */
#if defined(HYPRE_USING_GPU)
hypre_SyncComputeStream(hypre_handle());
#endif
return ierr;
}
|
constitute.c | /*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% CCCC OOO N N SSSSS TTTTT IIIII TTTTT U U TTTTT EEEEE %
% C O O NN N SS T I T U U T E %
% C O O N N N ESSS T I T U U T EEE %
% C O O N NN SS T I T U U T E %
% CCCC OOO N N SSSSS T IIIII T UUU T EEEEE %
% %
% %
% MagickCore Methods to Consitute an Image %
% %
% Software Design %
% Cristy %
% October 1998 %
% %
% %
% Copyright 1999-2020 ImageMagick Studio LLC, a non-profit organization %
% dedicated to making software imaging solutions freely available. %
% %
% You may not use this file except in compliance with the License. You may %
% obtain a copy of the License at %
% %
% https://imagemagick.org/script/license.php %
% %
% Unless required by applicable law or agreed to in writing, software %
% distributed under the License is distributed on an "AS IS" BASIS, %
% WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. %
% See the License for the specific language governing permissions and %
% limitations under the License. %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
%
*/
/*
Include declarations.
*/
#include "MagickCore/studio.h"
#include "MagickCore/attribute.h"
#include "MagickCore/blob.h"
#include "MagickCore/blob-private.h"
#include "MagickCore/exception.h"
#include "MagickCore/exception-private.h"
#include "MagickCore/cache.h"
#include "MagickCore/client.h"
#include "MagickCore/coder-private.h"
#include "MagickCore/colorspace-private.h"
#include "MagickCore/constitute.h"
#include "MagickCore/constitute-private.h"
#include "MagickCore/delegate.h"
#include "MagickCore/geometry.h"
#include "MagickCore/identify.h"
#include "MagickCore/image-private.h"
#include "MagickCore/list.h"
#include "MagickCore/magick.h"
#include "MagickCore/memory_.h"
#include "MagickCore/monitor.h"
#include "MagickCore/monitor-private.h"
#include "MagickCore/option.h"
#include "MagickCore/pixel.h"
#include "MagickCore/pixel-accessor.h"
#include "MagickCore/policy.h"
#include "MagickCore/profile.h"
#include "MagickCore/profile-private.h"
#include "MagickCore/property.h"
#include "MagickCore/quantum.h"
#include "MagickCore/resize.h"
#include "MagickCore/resource_.h"
#include "MagickCore/semaphore.h"
#include "MagickCore/statistic.h"
#include "MagickCore/stream.h"
#include "MagickCore/string_.h"
#include "MagickCore/string-private.h"
#include "MagickCore/timer.h"
#include "MagickCore/token.h"
#include "MagickCore/transform.h"
#include "MagickCore/utility.h"
#include "MagickCore/utility-private.h"
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% C o n s t i t u t e I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ConstituteImage() returns an image from the pixel data you supply.
% The pixel data must be in scanline order top-to-bottom. The data can be
% char, short int, int, float, or double. Float and double require the
% pixels to be normalized [0..1], otherwise [0..QuantumRange]. For example, to
% create a 640x480 image from unsigned red-green-blue character data, use:
%
% image = ConstituteImage(640,480,"RGB",CharPixel,pixels,&exception);
%
% The format of the ConstituteImage method is:
%
% Image *ConstituteImage(const size_t columns,const size_t rows,
% const char *map,const StorageType storage,const void *pixels,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o columns: width in pixels of the image.
%
% o rows: height in pixels of the image.
%
% o map: This string reflects the expected ordering of the pixel array.
% It can be any combination or order of R = red, G = green, B = blue,
% A = alpha (0 is transparent), O = opacity (0 is opaque), C = cyan,
% Y = yellow, M = magenta, K = black, I = intensity (for grayscale),
% P = pad.
%
% o storage: Define the data type of the pixels. Float and double types are
% expected to be normalized [0..1] otherwise [0..QuantumRange]. Choose
% from these types: CharPixel, DoublePixel, FloatPixel, IntegerPixel,
% LongPixel, QuantumPixel, or ShortPixel.
%
% o pixels: This array of values contain the pixel components as defined by
% map and type. You must preallocate this array where the expected
% length varies depending on the values of width, height, map, and type.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *ConstituteImage(const size_t columns,const size_t rows,
const char *map,const StorageType storage,const void *pixels,
ExceptionInfo *exception)
{
Image
*image;
MagickBooleanType
status;
register ssize_t
i;
size_t
length;
/*
Allocate image structure.
*/
assert(map != (const char *) NULL);
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",map);
assert(pixels != (void *) NULL);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickCoreSignature);
image=AcquireImage((ImageInfo *) NULL,exception);
if (image == (Image *) NULL)
return((Image *) NULL);
switch (storage)
{
case CharPixel: image->depth=8*sizeof(unsigned char); break;
case DoublePixel: image->depth=8*sizeof(double); break;
case FloatPixel: image->depth=8*sizeof(float); break;
case LongPixel: image->depth=8*sizeof(unsigned long); break;
case LongLongPixel: image->depth=8*sizeof(MagickSizeType); break;
case ShortPixel: image->depth=8*sizeof(unsigned short); break;
default: break;
}
length=strlen(map);
for (i=0; i < (ssize_t) length; i++)
{
switch (map[i])
{
case 'a':
case 'A':
case 'O':
case 'o':
{
image->alpha_trait=BlendPixelTrait;
break;
}
case 'C':
case 'c':
case 'm':
case 'M':
case 'Y':
case 'y':
case 'K':
case 'k':
{
image->colorspace=CMYKColorspace;
break;
}
case 'I':
case 'i':
{
image->colorspace=GRAYColorspace;
break;
}
default:
{
if (length == 1)
image->colorspace=GRAYColorspace;
break;
}
}
}
status=SetImageExtent(image,columns,rows,exception);
if (status == MagickFalse)
return(DestroyImageList(image));
status=ResetImagePixels(image,exception);
if (status == MagickFalse)
return(DestroyImageList(image));
status=ImportImagePixels(image,0,0,columns,rows,map,storage,pixels,exception);
if (status == MagickFalse)
image=DestroyImage(image);
return(image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% P i n g I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% PingImage() returns all the properties of an image or image sequence
% except for the pixels. It is much faster and consumes far less memory
% than ReadImage(). On failure, a NULL image is returned and exception
% describes the reason for the failure.
%
% The format of the PingImage method is:
%
% Image *PingImage(const ImageInfo *image_info,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image_info: Ping the image defined by the file or filename members of
% this structure.
%
% o exception: return any errors or warnings in this structure.
%
*/
#if defined(__cplusplus) || defined(c_plusplus)
extern "C" {
#endif
static size_t PingStream(const Image *magick_unused(image),
const void *magick_unused(pixels),const size_t columns)
{
magick_unreferenced(image);
magick_unreferenced(pixels);
return(columns);
}
#if defined(__cplusplus) || defined(c_plusplus)
}
#endif
MagickExport Image *PingImage(const ImageInfo *image_info,
ExceptionInfo *exception)
{
Image
*image;
ImageInfo
*ping_info;
assert(image_info != (ImageInfo *) NULL);
assert(image_info->signature == MagickCoreSignature);
if (image_info->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",
image_info->filename);
assert(exception != (ExceptionInfo *) NULL);
ping_info=CloneImageInfo(image_info);
ping_info->ping=MagickTrue;
image=ReadStream(ping_info,&PingStream,exception);
if (image != (Image *) NULL)
{
ResetTimer(&image->timer);
if (ping_info->verbose != MagickFalse)
(void) IdentifyImage(image,stdout,MagickFalse,exception);
}
ping_info=DestroyImageInfo(ping_info);
return(image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% P i n g I m a g e s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% PingImages() pings one or more images and returns them as an image list.
%
% The format of the PingImage method is:
%
% Image *PingImages(ImageInfo *image_info,const char *filename,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image_info: the image info.
%
% o filename: the image filename.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *PingImages(ImageInfo *image_info,const char *filename,
ExceptionInfo *exception)
{
char
ping_filename[MagickPathExtent];
Image
*image,
*images;
ImageInfo
*read_info;
/*
Ping image list from a file.
*/
assert(image_info != (ImageInfo *) NULL);
assert(image_info->signature == MagickCoreSignature);
if (image_info->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",
image_info->filename);
assert(exception != (ExceptionInfo *) NULL);
(void) SetImageOption(image_info,"filename",filename);
(void) CopyMagickString(image_info->filename,filename,MagickPathExtent);
(void) InterpretImageFilename(image_info,(Image *) NULL,image_info->filename,
(int) image_info->scene,ping_filename,exception);
if (LocaleCompare(ping_filename,image_info->filename) != 0)
{
ExceptionInfo
*sans;
ssize_t
extent,
scene;
/*
Images of the form image-%d.png[1-5].
*/
read_info=CloneImageInfo(image_info);
sans=AcquireExceptionInfo();
(void) SetImageInfo(read_info,0,sans);
sans=DestroyExceptionInfo(sans);
if (read_info->number_scenes == 0)
{
read_info=DestroyImageInfo(read_info);
return(PingImage(image_info,exception));
}
(void) CopyMagickString(ping_filename,read_info->filename,
MagickPathExtent);
images=NewImageList();
extent=(ssize_t) (read_info->scene+read_info->number_scenes);
for (scene=(ssize_t) read_info->scene; scene < (ssize_t) extent; scene++)
{
(void) InterpretImageFilename(image_info,(Image *) NULL,ping_filename,
(int) scene,read_info->filename,exception);
image=PingImage(read_info,exception);
if (image == (Image *) NULL)
continue;
AppendImageToList(&images,image);
}
read_info=DestroyImageInfo(read_info);
return(images);
}
return(PingImage(image_info,exception));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% R e a d I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ReadImage() reads an image or image sequence from a file or file handle.
% The method returns a NULL if there is a memory shortage or if the image
% cannot be read. On failure, a NULL image is returned and exception
% describes the reason for the failure.
%
% The format of the ReadImage method is:
%
% Image *ReadImage(const ImageInfo *image_info,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image_info: Read the image defined by the file or filename members of
% this structure.
%
% o exception: return any errors or warnings in this structure.
%
*/
static MagickBooleanType IsCoderAuthorized(const char *coder,
const PolicyRights rights,ExceptionInfo *exception)
{
if (IsRightsAuthorized(CoderPolicyDomain,rights,coder) == MagickFalse)
{
errno=EPERM;
(void) ThrowMagickException(exception,GetMagickModule(),PolicyError,
"NotAuthorized","`%s'",coder);
return(MagickFalse);
}
return(MagickTrue);
}
MagickExport Image *ReadImage(const ImageInfo *image_info,
ExceptionInfo *exception)
{
char
filename[MagickPathExtent],
magick[MagickPathExtent],
magick_filename[MagickPathExtent];
const char
*value;
const DelegateInfo
*delegate_info;
const MagickInfo
*magick_info;
DecodeImageHandler
*decoder;
ExceptionInfo
*sans_exception;
GeometryInfo
geometry_info;
Image
*image,
*next;
ImageInfo
*read_info;
MagickBooleanType
status;
MagickStatusType
flags;
/*
Determine image type from filename prefix or suffix (e.g. image.jpg).
*/
assert(image_info != (ImageInfo *) NULL);
assert(image_info->signature == MagickCoreSignature);
assert(image_info->filename != (char *) NULL);
if (image_info->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",
image_info->filename);
assert(exception != (ExceptionInfo *) NULL);
read_info=CloneImageInfo(image_info);
(void) CopyMagickString(magick_filename,read_info->filename,MagickPathExtent);
(void) SetImageInfo(read_info,0,exception);
(void) CopyMagickString(filename,read_info->filename,MagickPathExtent);
(void) CopyMagickString(magick,read_info->magick,MagickPathExtent);
/*
Call appropriate image reader based on image type.
*/
sans_exception=AcquireExceptionInfo();
magick_info=GetMagickInfo(read_info->magick,sans_exception);
if (sans_exception->severity == PolicyError)
magick_info=GetMagickInfo(read_info->magick,exception);
sans_exception=DestroyExceptionInfo(sans_exception);
if (magick_info != (const MagickInfo *) NULL)
{
if (GetMagickEndianSupport(magick_info) == MagickFalse)
read_info->endian=UndefinedEndian;
else
if ((image_info->endian == UndefinedEndian) &&
(GetMagickRawSupport(magick_info) != MagickFalse))
{
unsigned long
lsb_first;
lsb_first=1;
read_info->endian=(*(char *) &lsb_first) == 1 ? LSBEndian :
MSBEndian;
}
}
if ((magick_info != (const MagickInfo *) NULL) &&
(GetMagickDecoderSeekableStream(magick_info) != MagickFalse))
{
image=AcquireImage(read_info,exception);
(void) CopyMagickString(image->filename,read_info->filename,
MagickPathExtent);
status=OpenBlob(image_info,image,ReadBinaryBlobMode,exception);
if (status == MagickFalse)
{
read_info=DestroyImageInfo(read_info);
image=DestroyImage(image);
return((Image *) NULL);
}
if (IsBlobSeekable(image) == MagickFalse)
{
/*
Coder requires a seekable stream.
*/
*read_info->filename='\0';
status=ImageToFile(image,read_info->filename,exception);
if (status == MagickFalse)
{
(void) CloseBlob(image);
read_info=DestroyImageInfo(read_info);
image=DestroyImage(image);
return((Image *) NULL);
}
read_info->temporary=MagickTrue;
}
(void) CloseBlob(image);
image=DestroyImage(image);
}
image=NewImageList();
decoder=GetImageDecoder(magick_info);
if (decoder == (DecodeImageHandler *) NULL)
{
delegate_info=GetDelegateInfo(read_info->magick,(char *) NULL,exception);
if (delegate_info == (const DelegateInfo *) NULL)
{
(void) SetImageInfo(read_info,0,exception);
(void) CopyMagickString(read_info->filename,filename,
MagickPathExtent);
magick_info=GetMagickInfo(read_info->magick,exception);
decoder=GetImageDecoder(magick_info);
}
}
if (decoder != (DecodeImageHandler *) NULL)
{
/*
Call appropriate image reader based on image type.
*/
if (GetMagickDecoderThreadSupport(magick_info) == MagickFalse)
LockSemaphoreInfo(magick_info->semaphore);
status=IsCoderAuthorized(read_info->magick,ReadPolicyRights,exception);
image=(Image *) NULL;
if (status != MagickFalse)
image=decoder(read_info,exception);
if (GetMagickDecoderThreadSupport(magick_info) == MagickFalse)
UnlockSemaphoreInfo(magick_info->semaphore);
}
else
{
delegate_info=GetDelegateInfo(read_info->magick,(char *) NULL,exception);
if (delegate_info == (const DelegateInfo *) NULL)
{
(void) ThrowMagickException(exception,GetMagickModule(),
MissingDelegateError,"NoDecodeDelegateForThisImageFormat","`%s'",
read_info->magick);
if (read_info->temporary != MagickFalse)
(void) RelinquishUniqueFileResource(read_info->filename);
read_info=DestroyImageInfo(read_info);
return((Image *) NULL);
}
/*
Let our decoding delegate process the image.
*/
image=AcquireImage(read_info,exception);
if (image == (Image *) NULL)
{
read_info=DestroyImageInfo(read_info);
return((Image *) NULL);
}
(void) CopyMagickString(image->filename,read_info->filename,
MagickPathExtent);
*read_info->filename='\0';
if (GetDelegateThreadSupport(delegate_info) == MagickFalse)
LockSemaphoreInfo(delegate_info->semaphore);
status=InvokeDelegate(read_info,image,read_info->magick,(char *) NULL,
exception);
if (GetDelegateThreadSupport(delegate_info) == MagickFalse)
UnlockSemaphoreInfo(delegate_info->semaphore);
image=DestroyImageList(image);
read_info->temporary=MagickTrue;
if (status != MagickFalse)
(void) SetImageInfo(read_info,0,exception);
magick_info=GetMagickInfo(read_info->magick,exception);
decoder=GetImageDecoder(magick_info);
if (decoder == (DecodeImageHandler *) NULL)
{
if (IsPathAccessible(read_info->filename) != MagickFalse)
(void) ThrowMagickException(exception,GetMagickModule(),
MissingDelegateError,"NoDecodeDelegateForThisImageFormat","`%s'",
read_info->magick);
else
ThrowFileException(exception,FileOpenError,"UnableToOpenFile",
read_info->filename);
read_info=DestroyImageInfo(read_info);
return((Image *) NULL);
}
/*
Call appropriate image reader based on image type.
*/
if (GetMagickDecoderThreadSupport(magick_info) == MagickFalse)
LockSemaphoreInfo(magick_info->semaphore);
status=IsCoderAuthorized(read_info->magick,ReadPolicyRights,exception);
image=(Image *) NULL;
if (status != MagickFalse)
image=(decoder)(read_info,exception);
if (GetMagickDecoderThreadSupport(magick_info) == MagickFalse)
UnlockSemaphoreInfo(magick_info->semaphore);
}
if (read_info->temporary != MagickFalse)
{
(void) RelinquishUniqueFileResource(read_info->filename);
read_info->temporary=MagickFalse;
if (image != (Image *) NULL)
(void) CopyMagickString(image->filename,filename,MagickPathExtent);
}
if (image == (Image *) NULL)
{
read_info=DestroyImageInfo(read_info);
return(image);
}
if (exception->severity >= ErrorException)
(void) LogMagickEvent(ExceptionEvent,GetMagickModule(),
"Coder (%s) generated an image despite an error (%d), "
"notify the developers",image->magick,exception->severity);
if (IsBlobTemporary(image) != MagickFalse)
(void) RelinquishUniqueFileResource(read_info->filename);
if ((IsSceneGeometry(read_info->scenes,MagickFalse) != MagickFalse) &&
(GetImageListLength(image) != 1))
{
Image
*clones;
clones=CloneImages(image,read_info->scenes,exception);
if (clones != (Image *) NULL)
{
image=DestroyImageList(image);
image=GetFirstImageInList(clones);
}
}
for (next=image; next != (Image *) NULL; next=GetNextImageInList(next))
{
char
magick_path[MagickPathExtent],
*property,
timestamp[MagickPathExtent];
const char
*option;
const StringInfo
*profile;
ssize_t
option_type;
static const char
*source_date_epoch = (const char *) NULL;
static MagickBooleanType
epoch_initalized = MagickFalse;
next->taint=MagickFalse;
GetPathComponent(magick_filename,MagickPath,magick_path);
if (*magick_path == '\0' && *next->magick == '\0')
(void) CopyMagickString(next->magick,magick,MagickPathExtent);
(void) CopyMagickString(next->magick_filename,magick_filename,
MagickPathExtent);
if (IsBlobTemporary(image) != MagickFalse)
(void) CopyMagickString(next->filename,filename,MagickPathExtent);
if (next->magick_columns == 0)
next->magick_columns=next->columns;
if (next->magick_rows == 0)
next->magick_rows=next->rows;
(void) GetImageProperty(next,"exif:*",exception);
(void) GetImageProperty(next,"icc:*",exception);
(void) GetImageProperty(next,"iptc:*",exception);
(void) GetImageProperty(next,"xmp:*",exception);
value=GetImageProperty(next,"exif:Orientation",exception);
if (value == (char *) NULL)
value=GetImageProperty(next,"tiff:Orientation",exception);
if (value != (char *) NULL)
{
next->orientation=(OrientationType) StringToLong(value);
(void) DeleteImageProperty(next,"tiff:Orientation");
(void) DeleteImageProperty(next,"exif:Orientation");
}
value=GetImageProperty(next,"exif:XResolution",exception);
if (value != (char *) NULL)
{
geometry_info.rho=next->resolution.x;
geometry_info.sigma=1.0;
flags=ParseGeometry(value,&geometry_info);
if (geometry_info.sigma != 0)
next->resolution.x=geometry_info.rho/geometry_info.sigma;
if (strchr(value,',') != (char *) NULL)
next->resolution.x=geometry_info.rho+geometry_info.sigma/1000.0;
(void) DeleteImageProperty(next,"exif:XResolution");
}
value=GetImageProperty(next,"exif:YResolution",exception);
if (value != (char *) NULL)
{
geometry_info.rho=next->resolution.y;
geometry_info.sigma=1.0;
flags=ParseGeometry(value,&geometry_info);
if (geometry_info.sigma != 0)
next->resolution.y=geometry_info.rho/geometry_info.sigma;
if (strchr(value,',') != (char *) NULL)
next->resolution.y=geometry_info.rho+geometry_info.sigma/1000.0;
(void) DeleteImageProperty(next,"exif:YResolution");
}
value=GetImageProperty(next,"exif:ResolutionUnit",exception);
if (value == (char *) NULL)
value=GetImageProperty(next,"tiff:ResolutionUnit",exception);
if (value != (char *) NULL)
{
option_type=ParseCommandOption(MagickResolutionOptions,MagickFalse,
value);
if (option_type >= 0)
next->units=(ResolutionType) option_type;
(void) DeleteImageProperty(next,"exif:ResolutionUnit");
(void) DeleteImageProperty(next,"tiff:ResolutionUnit");
}
if (next->page.width == 0)
next->page.width=next->columns;
if (next->page.height == 0)
next->page.height=next->rows;
option=GetImageOption(read_info,"caption");
if (option != (const char *) NULL)
{
property=InterpretImageProperties(read_info,next,option,exception);
(void) SetImageProperty(next,"caption",property,exception);
property=DestroyString(property);
}
option=GetImageOption(read_info,"comment");
if (option != (const char *) NULL)
{
property=InterpretImageProperties(read_info,next,option,exception);
(void) SetImageProperty(next,"comment",property,exception);
property=DestroyString(property);
}
option=GetImageOption(read_info,"label");
if (option != (const char *) NULL)
{
property=InterpretImageProperties(read_info,next,option,exception);
(void) SetImageProperty(next,"label",property,exception);
property=DestroyString(property);
}
if (LocaleCompare(next->magick,"TEXT") == 0)
(void) ParseAbsoluteGeometry("0x0+0+0",&next->page);
if ((read_info->extract != (char *) NULL) &&
(read_info->stream == (StreamHandler) NULL))
{
RectangleInfo
geometry;
SetGeometry(next,&geometry);
flags=ParseAbsoluteGeometry(read_info->extract,&geometry);
if ((next->columns != geometry.width) ||
(next->rows != geometry.height))
{
if (((flags & XValue) != 0) || ((flags & YValue) != 0))
{
Image
*crop_image;
crop_image=CropImage(next,&geometry,exception);
if (crop_image != (Image *) NULL)
ReplaceImageInList(&next,crop_image);
}
else
if (((flags & WidthValue) != 0) || ((flags & HeightValue) != 0))
{
Image
*size_image;
flags=ParseRegionGeometry(next,read_info->extract,&geometry,
exception);
size_image=ResizeImage(next,geometry.width,geometry.height,
next->filter,exception);
if (size_image != (Image *) NULL)
ReplaceImageInList(&next,size_image);
}
}
}
profile=GetImageProfile(next,"icc");
if (profile == (const StringInfo *) NULL)
profile=GetImageProfile(next,"icm");
profile=GetImageProfile(next,"iptc");
if (profile == (const StringInfo *) NULL)
profile=GetImageProfile(next,"8bim");
if (epoch_initalized == MagickFalse)
{
source_date_epoch=getenv("SOURCE_DATE_EPOCH");
epoch_initalized=MagickTrue;
}
if (source_date_epoch == (const char *) NULL)
{
(void) FormatMagickTime((time_t) GetBlobProperties(next)->st_mtime,
MagickPathExtent,timestamp);
(void) SetImageProperty(next,"date:modify",timestamp,exception);
(void) FormatMagickTime((time_t) GetBlobProperties(next)->st_ctime,
MagickPathExtent,timestamp);
(void) SetImageProperty(next,"date:create",timestamp,exception);
}
option=GetImageOption(image_info,"delay");
if (option != (const char *) NULL)
{
flags=ParseGeometry(option,&geometry_info);
if ((flags & GreaterValue) != 0)
{
if (next->delay > (size_t) floor(geometry_info.rho+0.5))
next->delay=(size_t) floor(geometry_info.rho+0.5);
}
else
if ((flags & LessValue) != 0)
{
if (next->delay < (size_t) floor(geometry_info.rho+0.5))
next->ticks_per_second=CastDoubleToLong(floor(
geometry_info.sigma+0.5));
}
else
next->delay=(size_t) floor(geometry_info.rho+0.5);
if ((flags & SigmaValue) != 0)
next->ticks_per_second=CastDoubleToLong(floor(
geometry_info.sigma+0.5));
}
option=GetImageOption(image_info,"dispose");
if (option != (const char *) NULL)
{
option_type=ParseCommandOption(MagickDisposeOptions,MagickFalse,
option);
if (option_type >= 0)
next->dispose=(DisposeType) option_type;
}
if (read_info->verbose != MagickFalse)
(void) IdentifyImage(next,stderr,MagickFalse,exception);
image=next;
}
read_info=DestroyImageInfo(read_info);
if (GetBlobError(image) != MagickFalse)
ThrowReaderException(CorruptImageError,"UnableToReadImageData");
return(GetFirstImageInList(image));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% R e a d I m a g e s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ReadImages() reads one or more images and returns them as an image list.
%
% The format of the ReadImage method is:
%
% Image *ReadImages(ImageInfo *image_info,const char *filename,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image_info: the image info.
%
% o filename: the image filename.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *ReadImages(ImageInfo *image_info,const char *filename,
ExceptionInfo *exception)
{
char
read_filename[MagickPathExtent];
Image
*image,
*images;
ImageInfo
*read_info;
/*
Read image list from a file.
*/
assert(image_info != (ImageInfo *) NULL);
assert(image_info->signature == MagickCoreSignature);
if (image_info->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",
image_info->filename);
assert(exception != (ExceptionInfo *) NULL);
read_info=CloneImageInfo(image_info);
*read_info->magick='\0';
(void) SetImageOption(read_info,"filename",filename);
(void) CopyMagickString(read_info->filename,filename,MagickPathExtent);
(void) InterpretImageFilename(read_info,(Image *) NULL,filename,
(int) read_info->scene,read_filename,exception);
if (LocaleCompare(read_filename,read_info->filename) != 0)
{
ExceptionInfo
*sans;
ssize_t
extent,
scene;
/*
Images of the form image-%d.png[1-5].
*/
sans=AcquireExceptionInfo();
(void) SetImageInfo(read_info,0,sans);
sans=DestroyExceptionInfo(sans);
if (read_info->number_scenes != 0)
{
(void) CopyMagickString(read_filename,read_info->filename,
MagickPathExtent);
images=NewImageList();
extent=(ssize_t) (read_info->scene+read_info->number_scenes);
scene=(ssize_t) read_info->scene;
for ( ; scene < (ssize_t) extent; scene++)
{
(void) InterpretImageFilename(image_info,(Image *) NULL,
read_filename,(int) scene,read_info->filename,exception);
image=ReadImage(read_info,exception);
if (image == (Image *) NULL)
continue;
AppendImageToList(&images,image);
}
read_info=DestroyImageInfo(read_info);
return(images);
}
}
(void) CopyMagickString(read_info->filename,filename,MagickPathExtent);
image=ReadImage(read_info,exception);
read_info=DestroyImageInfo(read_info);
return(image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ R e a d I n l i n e I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ReadInlineImage() reads a Base64-encoded inline image or image sequence.
% The method returns a NULL if there is a memory shortage or if the image
% cannot be read. On failure, a NULL image is returned and exception
% describes the reason for the failure.
%
% The format of the ReadInlineImage method is:
%
% Image *ReadInlineImage(const ImageInfo *image_info,const char *content,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image_info: the image info.
%
% o content: the image encoded in Base64.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *ReadInlineImage(const ImageInfo *image_info,
const char *content,ExceptionInfo *exception)
{
Image
*image;
ImageInfo
*read_info;
unsigned char
*blob;
size_t
length;
register const char
*p;
/*
Skip over header (e.g. data:image/gif;base64,).
*/
image=NewImageList();
for (p=content; (*p != ',') && (*p != '\0'); p++) ;
if (*p == '\0')
ThrowReaderException(CorruptImageError,"CorruptImage");
p++;
length=0;
blob=Base64Decode(p,&length);
if (length == 0)
{
blob=(unsigned char *) RelinquishMagickMemory(blob);
ThrowReaderException(CorruptImageError,"CorruptImage");
}
read_info=CloneImageInfo(image_info);
(void) SetImageInfoProgressMonitor(read_info,(MagickProgressMonitor) NULL,
(void *) NULL);
*read_info->filename='\0';
*read_info->magick='\0';
image=BlobToImage(read_info,blob,length,exception);
blob=(unsigned char *) RelinquishMagickMemory(blob);
read_info=DestroyImageInfo(read_info);
return(image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% W r i t e I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% WriteImage() writes an image or an image sequence to a file or file handle.
% If writing to a file is on disk, the name is defined by the filename member
% of the image structure. WriteImage() returns MagickFalse is there is a
% memory shortage or if the image cannot be written. Check the exception
% member of image to determine the cause for any failure.
%
% The format of the WriteImage method is:
%
% MagickBooleanType WriteImage(const ImageInfo *image_info,Image *image,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image_info: the image info.
%
% o image: the image.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport MagickBooleanType WriteImage(const ImageInfo *image_info,
Image *image,ExceptionInfo *exception)
{
char
filename[MagickPathExtent];
const char
*option;
const DelegateInfo
*delegate_info;
const MagickInfo
*magick_info;
EncodeImageHandler
*encoder;
ExceptionInfo
*sans_exception;
ImageInfo
*write_info;
MagickBooleanType
status,
temporary;
/*
Determine image type from filename prefix or suffix (e.g. image.jpg).
*/
assert(image_info != (ImageInfo *) NULL);
assert(image_info->signature == MagickCoreSignature);
assert(image != (Image *) NULL);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",
image_info->filename);
assert(image->signature == MagickCoreSignature);
assert(exception != (ExceptionInfo *) NULL);
sans_exception=AcquireExceptionInfo();
write_info=CloneImageInfo(image_info);
(void) CopyMagickString(write_info->filename,image->filename,
MagickPathExtent);
(void) SetImageInfo(write_info,1,sans_exception);
if (*write_info->magick == '\0')
(void) CopyMagickString(write_info->magick,image->magick,MagickPathExtent);
(void) CopyMagickString(filename,image->filename,MagickPathExtent);
(void) CopyMagickString(image->filename,write_info->filename,
MagickPathExtent);
/*
Call appropriate image writer based on image type.
*/
magick_info=GetMagickInfo(write_info->magick,sans_exception);
if (sans_exception->severity == PolicyError)
magick_info=GetMagickInfo(write_info->magick,exception);
sans_exception=DestroyExceptionInfo(sans_exception);
if (magick_info != (const MagickInfo *) NULL)
{
if (GetMagickEndianSupport(magick_info) == MagickFalse)
image->endian=UndefinedEndian;
else
if ((image_info->endian == UndefinedEndian) &&
(GetMagickRawSupport(magick_info) != MagickFalse))
{
unsigned long
lsb_first;
lsb_first=1;
image->endian=(*(char *) &lsb_first) == 1 ? LSBEndian : MSBEndian;
}
}
(void) SyncImageProfiles(image);
DisassociateImageStream(image);
option=GetImageOption(image_info,"delegate:bimodal");
if ((IsStringTrue(option) != MagickFalse) &&
(write_info->page == (char *) NULL) &&
(GetPreviousImageInList(image) == (Image *) NULL) &&
(GetNextImageInList(image) == (Image *) NULL) &&
(IsTaintImage(image) == MagickFalse) )
{
delegate_info=GetDelegateInfo(image->magick,write_info->magick,exception);
if ((delegate_info != (const DelegateInfo *) NULL) &&
(GetDelegateMode(delegate_info) == 0) &&
(IsPathAccessible(image->magick_filename) != MagickFalse))
{
/*
Process image with bi-modal delegate.
*/
(void) CopyMagickString(image->filename,image->magick_filename,
MagickPathExtent);
status=InvokeDelegate(write_info,image,image->magick,
write_info->magick,exception);
write_info=DestroyImageInfo(write_info);
(void) CopyMagickString(image->filename,filename,MagickPathExtent);
return(status);
}
}
status=MagickFalse;
temporary=MagickFalse;
if ((magick_info != (const MagickInfo *) NULL) &&
(GetMagickEncoderSeekableStream(magick_info) != MagickFalse))
{
char
image_filename[MagickPathExtent];
(void) CopyMagickString(image_filename,image->filename,MagickPathExtent);
status=OpenBlob(image_info,image,WriteBinaryBlobMode,exception);
(void) CopyMagickString(image->filename, image_filename,MagickPathExtent);
if (status != MagickFalse)
{
if (IsBlobSeekable(image) == MagickFalse)
{
/*
A seekable stream is required by the encoder.
*/
write_info->adjoin=MagickTrue;
(void) CopyMagickString(write_info->filename,image->filename,
MagickPathExtent);
(void) AcquireUniqueFilename(image->filename);
temporary=MagickTrue;
}
(void) CloseBlob(image);
}
}
encoder=GetImageEncoder(magick_info);
if (encoder != (EncodeImageHandler *) NULL)
{
/*
Call appropriate image writer based on image type.
*/
if (GetMagickEncoderThreadSupport(magick_info) == MagickFalse)
LockSemaphoreInfo(magick_info->semaphore);
status=IsCoderAuthorized(write_info->magick,WritePolicyRights,exception);
if (status != MagickFalse)
status=encoder(write_info,image,exception);
if (GetMagickEncoderThreadSupport(magick_info) == MagickFalse)
UnlockSemaphoreInfo(magick_info->semaphore);
}
else
{
delegate_info=GetDelegateInfo((char *) NULL,write_info->magick,exception);
if (delegate_info != (DelegateInfo *) NULL)
{
/*
Process the image with delegate.
*/
*write_info->filename='\0';
if (GetDelegateThreadSupport(delegate_info) == MagickFalse)
LockSemaphoreInfo(delegate_info->semaphore);
status=InvokeDelegate(write_info,image,(char *) NULL,
write_info->magick,exception);
if (GetDelegateThreadSupport(delegate_info) == MagickFalse)
UnlockSemaphoreInfo(delegate_info->semaphore);
(void) CopyMagickString(image->filename,filename,MagickPathExtent);
}
else
{
sans_exception=AcquireExceptionInfo();
magick_info=GetMagickInfo(write_info->magick,sans_exception);
if (sans_exception->severity == PolicyError)
magick_info=GetMagickInfo(write_info->magick,exception);
sans_exception=DestroyExceptionInfo(sans_exception);
if ((write_info->affirm == MagickFalse) &&
(magick_info == (const MagickInfo *) NULL))
{
(void) CopyMagickString(write_info->magick,image->magick,
MagickPathExtent);
magick_info=GetMagickInfo(write_info->magick,exception);
}
encoder=GetImageEncoder(magick_info);
if (encoder == (EncodeImageHandler *) NULL)
{
char
extension[MagickPathExtent];
GetPathComponent(image->filename,ExtensionPath,extension);
if (*extension != '\0')
magick_info=GetMagickInfo(extension,exception);
else
magick_info=GetMagickInfo(image->magick,exception);
(void) CopyMagickString(image->filename,filename,
MagickPathExtent);
encoder=GetImageEncoder(magick_info);
}
if (encoder == (EncodeImageHandler *) NULL)
{
magick_info=GetMagickInfo(image->magick,exception);
encoder=GetImageEncoder(magick_info);
if (encoder == (EncodeImageHandler *) NULL)
(void) ThrowMagickException(exception,GetMagickModule(),
MissingDelegateError,"NoEncodeDelegateForThisImageFormat",
"`%s'",write_info->magick);
}
if (encoder != (EncodeImageHandler *) NULL)
{
/*
Call appropriate image writer based on image type.
*/
if (GetMagickEncoderThreadSupport(magick_info) == MagickFalse)
LockSemaphoreInfo(magick_info->semaphore);
status=IsCoderAuthorized(write_info->magick,WritePolicyRights,
exception);
if (status != MagickFalse)
status=encoder(write_info,image,exception);
if (GetMagickEncoderThreadSupport(magick_info) == MagickFalse)
UnlockSemaphoreInfo(magick_info->semaphore);
}
}
}
if (temporary != MagickFalse)
{
/*
Copy temporary image file to permanent.
*/
status=OpenBlob(write_info,image,ReadBinaryBlobMode,exception);
if (status != MagickFalse)
{
(void) RelinquishUniqueFileResource(write_info->filename);
status=ImageToFile(image,write_info->filename,exception);
}
(void) CloseBlob(image);
(void) RelinquishUniqueFileResource(image->filename);
(void) CopyMagickString(image->filename,write_info->filename,
MagickPathExtent);
}
if ((LocaleCompare(write_info->magick,"info") != 0) &&
(write_info->verbose != MagickFalse))
(void) IdentifyImage(image,stdout,MagickFalse,exception);
write_info=DestroyImageInfo(write_info);
if (GetBlobError(image) != MagickFalse)
ThrowWriterException(FileOpenError,"UnableToWriteFile");
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% W r i t e I m a g e s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% WriteImages() writes an image sequence into one or more files. While
% WriteImage() can write an image sequence, it is limited to writing
% the sequence into a single file using a format which supports multiple
% frames. WriteImages(), however, does not have this limitation, instead it
% generates multiple output files if necessary (or when requested). When
% ImageInfo's adjoin flag is set to MagickFalse, the file name is expected
% to include a printf-style formatting string for the frame number (e.g.
% "image%02d.png").
%
% The format of the WriteImages method is:
%
% MagickBooleanType WriteImages(const ImageInfo *image_info,Image *images,
% const char *filename,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image_info: the image info.
%
% o images: the image list.
%
% o filename: the image filename.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport MagickBooleanType WriteImages(const ImageInfo *image_info,
Image *images,const char *filename,ExceptionInfo *exception)
{
#define WriteImageTag "Write/Image"
ExceptionInfo
*sans_exception;
ImageInfo
*write_info;
MagickBooleanType
proceed;
MagickOffsetType
progress;
MagickProgressMonitor
progress_monitor;
MagickSizeType
number_images;
MagickStatusType
status;
register Image
*p;
assert(image_info != (const ImageInfo *) NULL);
assert(image_info->signature == MagickCoreSignature);
assert(images != (Image *) NULL);
assert(images->signature == MagickCoreSignature);
if (images->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",images->filename);
assert(exception != (ExceptionInfo *) NULL);
write_info=CloneImageInfo(image_info);
*write_info->magick='\0';
images=GetFirstImageInList(images);
if (filename != (const char *) NULL)
for (p=images; p != (Image *) NULL; p=GetNextImageInList(p))
(void) CopyMagickString(p->filename,filename,MagickPathExtent);
(void) CopyMagickString(write_info->filename,images->filename,
MagickPathExtent);
sans_exception=AcquireExceptionInfo();
(void) SetImageInfo(write_info,(unsigned int) GetImageListLength(images),
sans_exception);
sans_exception=DestroyExceptionInfo(sans_exception);
if (*write_info->magick == '\0')
(void) CopyMagickString(write_info->magick,images->magick,MagickPathExtent);
p=images;
for ( ; GetNextImageInList(p) != (Image *) NULL; p=GetNextImageInList(p))
{
register Image
*next;
next=GetNextImageInList(p);
if (next == (Image *) NULL)
break;
if (p->scene >= next->scene)
{
register ssize_t
i;
/*
Generate consistent scene numbers.
*/
i=(ssize_t) images->scene;
for (p=images; p != (Image *) NULL; p=GetNextImageInList(p))
p->scene=(size_t) i++;
break;
}
}
/*
Write images.
*/
status=MagickTrue;
progress_monitor=(MagickProgressMonitor) NULL;
progress=0;
number_images=GetImageListLength(images);
for (p=images; p != (Image *) NULL; p=GetNextImageInList(p))
{
if (number_images != 1)
progress_monitor=SetImageProgressMonitor(p,(MagickProgressMonitor) NULL,
p->client_data);
status&=WriteImage(write_info,p,exception);
if (number_images != 1)
(void) SetImageProgressMonitor(p,progress_monitor,p->client_data);
if (write_info->adjoin != MagickFalse)
break;
if (number_images != 1)
{
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp atomic
#endif
progress++;
proceed=SetImageProgress(p,WriteImageTag,progress,number_images);
if (proceed == MagickFalse)
break;
}
}
write_info=DestroyImageInfo(write_info);
return(status != 0 ? MagickTrue : MagickFalse);
}
|
Matrix_add_mp.c | #include <stdio.h>
#include <stdlib.h>
#include <omp.h>
#include <time.h>
#define size 400
int main()
{
long double M1[size][size]={1075.75},M2[size][size]={1594.97},M3[size][size];
float startTime,endTime,execTime;
int i,j;
int omp_rank;
startTime = omp_get_wtime();
#pragma omp parallel private (i,j) shared (M1,M2,M3)
{
omp_rank = omp_get_thread_num();
#pragma omp for
for(i=0;i<250;i++)
{
for(j=0;j<250;j++)
{
for(int k=0;k<100000;k++)
M3[i][j] = M1[i][j] + M2[i][j];
}
}
}
endTime = omp_get_wtime();
execTime = endTime-startTime;
printf("%f \n",execTime);
return(0);
} |
GB_binop__rminus_uint8.c |
//------------------------------------------------------------------------------
// GB_binop: hard-coded functions for each built-in binary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2021, All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
//------------------------------------------------------------------------------
// If this file is in the Generated2/ folder, do not edit it
// (it is auto-generated from Generator/*).
#include "GB.h"
#ifndef GBCOMPACT
#include "GB_emult.h"
#include "GB_control.h"
#include "GB_ek_slice.h"
#include "GB_dense.h"
#include "GB_atomics.h"
#include "GB_bitmap_assign_methods.h"
#include "GB_binop__include.h"
// C=binop(A,B) is defined by the following types and operators:
// A+B function (eWiseAdd): GB (_AaddB__rminus_uint8)
// A.*B function (eWiseMult): GB (_AemultB_08__rminus_uint8)
// A.*B function (eWiseMult): GB (_AemultB_02__rminus_uint8)
// A.*B function (eWiseMult): GB (_AemultB_04__rminus_uint8)
// A.*B function (eWiseMult): GB (_AemultB_bitmap__rminus_uint8)
// A*D function (colscale): GB (_AxD__rminus_uint8)
// D*A function (rowscale): GB (_DxB__rminus_uint8)
// C+=B function (dense accum): GB (_Cdense_accumB__rminus_uint8)
// C+=b function (dense accum): GB (_Cdense_accumb__rminus_uint8)
// C+=A+B function (dense ewise3): GB (_Cdense_ewise3_accum__rminus_uint8)
// C=A+B function (dense ewise3): GB (_Cdense_ewise3_noaccum__rminus_uint8)
// C=scalar+B GB (_bind1st__rminus_uint8)
// C=scalar+B' GB (_bind1st_tran__rminus_uint8)
// C=A+scalar GB (_bind2nd__rminus_uint8)
// C=A'+scalar GB (_bind2nd_tran__rminus_uint8)
// C type: uint8_t
// A type: uint8_t
// A pattern? 0
// B type: uint8_t
// B pattern? 0
// BinaryOp: cij = (bij - aij)
#define GB_ATYPE \
uint8_t
#define GB_BTYPE \
uint8_t
#define GB_CTYPE \
uint8_t
// true if the types of A and B are identical
#define GB_ATYPE_IS_BTYPE \
1
// true if the types of C and A are identical
#define GB_CTYPE_IS_ATYPE \
1
// true if the types of C and B are identical
#define GB_CTYPE_IS_BTYPE \
1
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA,A_iso) \
uint8_t aij = GBX (Ax, pA, A_iso)
// true if values of A are not used
#define GB_A_IS_PATTERN \
0 \
// bij = Bx [pB]
#define GB_GETB(bij,Bx,pB,B_iso) \
uint8_t bij = GBX (Bx, pB, B_iso)
// true if values of B are not used
#define GB_B_IS_PATTERN \
0 \
// declare scalar of the same type as C
#define GB_CTYPE_SCALAR(t) \
uint8_t t
// cij = Ax [pA]
#define GB_COPY_A_TO_C(cij,Ax,pA,A_iso) \
cij = GBX (Ax, pA, A_iso)
// cij = Bx [pB]
#define GB_COPY_B_TO_C(cij,Bx,pB,B_iso) \
cij = GBX (Bx, pB, B_iso)
#define GB_CX(p) Cx [p]
// binary operator
#define GB_BINOP(z,x,y,i,j) \
z = (y - x) ;
// true if the binop must be flipped
#define GB_BINOP_FLIP \
0
// op is second
#define GB_OP_IS_SECOND \
0
// do the numerical phases of GB_add and GB_emult
#define GB_PHASE_2_OF_2
// hard-coded loops can be vectorized
#define GB_PRAGMA_SIMD_VECTORIZE GB_PRAGMA_SIMD
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_RMINUS || GxB_NO_UINT8 || GxB_NO_RMINUS_UINT8)
//------------------------------------------------------------------------------
// C += A+B, all 3 matrices dense
//------------------------------------------------------------------------------
// The op must be MIN, MAX, PLUS, MINUS, RMINUS, TIMES, DIV, or RDIV.
void GB (_Cdense_ewise3_accum__rminus_uint8)
(
GrB_Matrix C,
const GrB_Matrix A,
const GrB_Matrix B,
const int nthreads
)
{
#include "GB_dense_ewise3_accum_template.c"
}
//------------------------------------------------------------------------------
// C = A+B, all 3 matrices dense
//------------------------------------------------------------------------------
void GB (_Cdense_ewise3_noaccum__rminus_uint8)
(
GrB_Matrix C,
const GrB_Matrix A,
const GrB_Matrix B,
const int nthreads
)
{
#include "GB_dense_ewise3_noaccum_template.c"
}
//------------------------------------------------------------------------------
// C += B, accumulate a sparse matrix into a dense matrix
//------------------------------------------------------------------------------
GrB_Info GB (_Cdense_accumB__rminus_uint8)
(
GrB_Matrix C,
const GrB_Matrix B,
const int64_t *B_ek_slicing, const int B_ntasks, const int B_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
{
#include "GB_dense_subassign_23_template.c"
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C += b, accumulate a scalar into a dense matrix
//------------------------------------------------------------------------------
GrB_Info GB (_Cdense_accumb__rminus_uint8)
(
GrB_Matrix C,
const GB_void *p_bwork,
const int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
{
// get the scalar b for C += b, of type uint8_t
uint8_t bwork = (*((uint8_t *) p_bwork)) ;
#include "GB_dense_subassign_22_template.c"
return (GrB_SUCCESS) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = A*D, column scale with diagonal D matrix
//------------------------------------------------------------------------------
GrB_Info GB (_AxD__rminus_uint8)
(
GrB_Matrix C,
const GrB_Matrix A,
const GrB_Matrix D,
const int64_t *A_ek_slicing, const int A_ntasks, const int A_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
uint8_t *restrict Cx = (uint8_t *) C->x ;
#include "GB_AxB_colscale_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = D*B, row scale with diagonal D matrix
//------------------------------------------------------------------------------
GrB_Info GB (_DxB__rminus_uint8)
(
GrB_Matrix C,
const GrB_Matrix D,
const GrB_Matrix B,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
uint8_t *restrict Cx = (uint8_t *) C->x ;
#include "GB_AxB_rowscale_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseAdd: C=A+B, C<M>=A+B, C<!M>=A+B
//------------------------------------------------------------------------------
GrB_Info GB (_AaddB__rminus_uint8)
(
GrB_Matrix C,
const int C_sparsity,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const bool is_eWiseUnion,
const GB_void *alpha_scalar_in,
const GB_void *beta_scalar_in,
const bool Ch_is_Mh,
const int64_t *restrict C_to_M,
const int64_t *restrict C_to_A,
const int64_t *restrict C_to_B,
const GB_task_struct *restrict TaskList,
const int C_ntasks,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
GB_WERK_DECLARE (M_ek_slicing, int64_t) ;
GB_WERK_DECLARE (A_ek_slicing, int64_t) ;
GB_WERK_DECLARE (B_ek_slicing, int64_t) ;
uint8_t alpha_scalar ;
uint8_t beta_scalar ;
if (is_eWiseUnion)
{
alpha_scalar = (*((uint8_t *) alpha_scalar_in)) ;
beta_scalar = (*((uint8_t *) beta_scalar_in )) ;
}
#include "GB_add_template.c"
GB_FREE_WORKSPACE ;
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C=A.*B, C<M>=A.*B, or C<M!>=A.*B where C is sparse/hyper
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_08__rminus_uint8)
(
GrB_Matrix C,
const int C_sparsity,
const int ewise_method,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *restrict C_to_M,
const int64_t *restrict C_to_A,
const int64_t *restrict C_to_B,
const GB_task_struct *restrict TaskList,
const int C_ntasks,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_emult_08_meta.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C<#> = A.*B when A is sparse/hyper and B is bitmap/full
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_02__rminus_uint8)
(
GrB_Matrix C,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const bool flipxy,
const int64_t *restrict Cp_kfirst,
const int64_t *A_ek_slicing, const int A_ntasks, const int A_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#if GB_BINOP_FLIP
// The operator is not commutative, and does not have a flipped
// variant. For example z=atan2(y,x).
if (flipxy)
{
// use fmult(y,x)
#undef GB_FLIPPED
#define GB_FLIPPED 1
#include "GB_emult_02_template.c"
}
else
{
// use fmult(x,y)
#undef GB_FLIPPED
#define GB_FLIPPED 0
#include "GB_emult_02_template.c"
}
#else
// No need to handle the flip: the operator is either commutative, or
// has been handled by changing z=div(y,x) to z=rdiv(x,y) for example.
#undef GB_FLIPPED
#define GB_FLIPPED 0
#include "GB_emult_02_template.c"
#endif
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C<M> = A.*B, M sparse/hyper, A and B bitmap/full
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_04__rminus_uint8)
(
GrB_Matrix C,
const GrB_Matrix M,
const bool Mask_struct,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *restrict Cp_kfirst,
const int64_t *M_ek_slicing, const int M_ntasks, const int M_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_emult_04_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C=A.*B, C<M>=A.*B, C<!M>=A.*B where C is bitmap
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_bitmap__rminus_uint8)
(
GrB_Matrix C,
const int ewise_method,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *M_ek_slicing, const int M_ntasks, const int M_nthreads,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_bitmap_emult_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// Cx = op (x,Bx): apply a binary operator to a matrix with scalar bind1st
//------------------------------------------------------------------------------
GrB_Info GB (_bind1st__rminus_uint8)
(
GB_void *Cx_output, // Cx and Bx may be aliased
const GB_void *x_input,
const GB_void *Bx_input,
const int8_t *restrict Bb,
int64_t bnz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
uint8_t *Cx = (uint8_t *) Cx_output ;
uint8_t x = (*((uint8_t *) x_input)) ;
uint8_t *Bx = (uint8_t *) Bx_input ;
int64_t p ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < bnz ; p++)
{
if (!GBB (Bb, p)) continue ;
uint8_t bij = GBX (Bx, p, false) ;
Cx [p] = (bij - x) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// Cx = op (Ax,y): apply a binary operator to a matrix with scalar bind2nd
//------------------------------------------------------------------------------
GrB_Info GB (_bind2nd__rminus_uint8)
(
GB_void *Cx_output, // Cx and Ax may be aliased
const GB_void *Ax_input,
const GB_void *y_input,
const int8_t *restrict Ab,
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t p ;
uint8_t *Cx = (uint8_t *) Cx_output ;
uint8_t *Ax = (uint8_t *) Ax_input ;
uint8_t y = (*((uint8_t *) y_input)) ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
if (!GBB (Ab, p)) continue ;
uint8_t aij = GBX (Ax, p, false) ;
Cx [p] = (y - aij) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (x, A'): transpose and apply a binary operator
//------------------------------------------------------------------------------
// cij = op (x, aij), no typecasting (in spite of the macro name)
#undef GB_CAST_OP
#define GB_CAST_OP(pC,pA) \
{ \
uint8_t aij = GBX (Ax, pA, false) ; \
Cx [pC] = (aij - x) ; \
}
GrB_Info GB (_bind1st_tran__rminus_uint8)
(
GrB_Matrix C,
const GB_void *x_input,
const GrB_Matrix A,
int64_t *restrict *Workspaces,
const int64_t *restrict A_slice,
int nworkspaces,
int nthreads
)
{
// GB_unop_transpose.c uses GB_ATYPE, but A is
// the 2nd input to binary operator z=f(x,y).
#undef GB_ATYPE
#define GB_ATYPE \
uint8_t
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
uint8_t x = (*((const uint8_t *) x_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
#undef GB_ATYPE
#define GB_ATYPE \
uint8_t
}
//------------------------------------------------------------------------------
// C = op (A', y): transpose and apply a binary operator
//------------------------------------------------------------------------------
// cij = op (aij, y), no typecasting (in spite of the macro name)
#undef GB_CAST_OP
#define GB_CAST_OP(pC,pA) \
{ \
uint8_t aij = GBX (Ax, pA, false) ; \
Cx [pC] = (y - aij) ; \
}
GrB_Info GB (_bind2nd_tran__rminus_uint8)
(
GrB_Matrix C,
const GrB_Matrix A,
const GB_void *y_input,
int64_t *restrict *Workspaces,
const int64_t *restrict A_slice,
int nworkspaces,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
uint8_t y = (*((const uint8_t *) y_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
constant_density_acoustic_time_scalar_2D_6.h | #ifndef __CDA_TIME_SCALAR_2D_6__
#define __CDA_TIME_SCALAR_2D_6__
#include <stdlib.h>
template< typename T, int ACCURACY >
void cda_time_scalar_2D_6( T* km1_u, int nr_km1_u, int nc_km1_u, // in - padded wavefield shape
T* k_Phix, int nr_k_Phix, int nc_k_Phix, // in - padded wavefield shape
T* k_Phiz, int nr_k_Phiz, int nc_k_Phiz, // in - padded wavefield shape
T* k_u, int nr_k_u, int nc_k_u, // in - padded wavefield shape
T* C, int nr_C, int nc_C, // in - padded wavefield shape
T* rhs, int nr_rhs, int nc_rhs, // in - padded wavefield shape
T* xlpml, int n_xlpml, // in - length is the number of nodes inside the padding that the pml value is defined.
T* xrpml, int n_xrpml, // in - length is the number of nodes inside the padding that the pml value is defined.
T* zlpml, int n_zlpml, // in - length is the number of nodes inside the padding that the pml value is defined.
T* zrpml, int n_zrpml, // in - length is the number of nodes inside the padding that the pml value is defined.
double const& dt, // in
double const& dx, // in
double const& dz, // in
int const& nx, // in
int const& nz, // in
T* kp1_Phix, int nr_kp1_Phix, int nc_kp1_Phix, // out
T* kp1_Phiz, int nr_kp1_Phiz, int nc_kp1_Phiz, // out
T* kp1_u, int nr_kp1_u, int nc_kp1_u ) // out
{
enum {MAX_FD_SHIFT = ACCURACY/2};
T lapU = 0.0;
// PML variable
T sigmax = 0.0;
T sigmaz = 0.0;
// Time delta variables
T dt2 = dt*dt;
// Loop/index variables
int idx;
int zstride = 1;
int xstride = nz;
int s = zstride;
int i, k;
// shared space step square variable
T dx2 = dx*dx;
T dz2 = dz*dz;
// private variables
//non derivatives
T fac1;
T fac2;
//derivatives
T dux , duz;
T dPhix, dPhiz;
char* NUM = getenv("OMP_NUM_THREADS");
int Num_Th = atoi (NUM);
#pragma omp parallel for private(sigmaz, sigmax, i, k, idx, dux, duz, dPhix, dPhiz, lapU, fac1, fac2) shared(dx, dx2, dz, dz2, nz, nx, kp1_Phix, kp1_Phiz, k_Phix, k_Phiz, n_zrpml, n_zlpml, n_xrpml, xrpml, xlpml, zrpml, zlpml, s, rhs, C, dt, dt2, km1_u, k_u, kp1_u) num_threads(Num_Th) collapse(2)
for(i=0; i < nx; ++i)
{
for(k=0; k < nz; k++)
{
idx = i*xstride + k;
kp1_Phix[idx] = 0.0;
kp1_Phiz[idx] = 0.0;
kp1_u[idx] = 0.0;
// This handles homogeneous Dirichlet BCs and non-updating in ghost regions.
if ((i == 0) || (i == nx-1)) continue;
if ((k == 0) || (k == nz-1)) continue;
lapU = 0.0;
// Do the X direction
// Left side
if (i==0)
{
//decentered derivative 3 ranks on the right
dux = ((-1./60.)*0.0+(3./20.)*0.0+(-3./4.)*0.0+0.0+(3./4.)*k_u[idx+nz]+(-3./20.)*k_u[idx+2*nz]+(1./60.)*k_u[idx+3*nz])/dx;
dPhix = ((-1./60.)*0.0+(3./20.)*0.0+(-3./4.)*0.0+0.0+(3./4.)*k_Phix[idx+nz]+(-3./20.)*k_Phix[idx+2*nz]+(1./60.)*k_Phix[idx+3*nz])/dx;
lapU += ((1./90.)*0.0+(-3./20.)*0.0+(3./2.)*0.0+(-49./18.)*k_u[idx]+(3./2.)*k_u[idx+nz]+(-3./20.)*k_u[idx+2*nz]+(1./90.)*k_u[idx+3*nz])/dx2;
}
else if (i == 1)
{
//decentered derivative 2 rank on the right
dux = ((-1./60.)*0.0+(3./20.)*0.0+(-3./4.)*k_u[idx-nz]+0.0+(3./4.)*k_u[idx+nz]+(-3./20.)*k_u[idx+2*nz]+(1./60.)*k_u[idx+3*nz])/dx;
dPhix = ((-1./60.)*0.0+(3./20.)*0.0+(-3./4.)*k_Phix[idx-nz]+0.0+(3./4.)*k_Phix[idx+nz]+(-3./20.)*k_Phix[idx+2*nz]+(1./60.)*k_Phix[idx+3*nz])/dx;
lapU += ((1./90.)*0.0+(-3./20.)*0.0+(3./2.)*k_u[idx-nz]+(-49./18.)*k_u[idx]+(3./2.)*k_u[idx+nz]+(-3./20.)*k_u[idx+2*nz]+(1./90.)*k_u[idx+3*nz])/dx2;
}
else if (i == 2)
{
//decentered derivative 1 rank on the right
dux = ((-1./60.)*0.0+(3./20.)*k_u[idx-2*nz]+(-3./4.)*k_u[idx-nz]+0.0+(3./4.)*k_u[idx+nz]+(-3./20.)*k_u[idx+2*nz]+(1./60.)*k_u[idx+3*nz])/dx;
dPhix = ((-1./60.)*0.0+(3./20.)*k_Phix[idx-2*nz]+(-3./4.)*k_Phix[idx-nz]+0.0+(3./4.)*k_Phix[idx+nz]+(-3./20.)*k_Phix[idx+2*nz]+(1./60.)*k_Phix[idx+3*nz])/dx;
lapU += ((1./90.)*0.0+(-3./20.)*k_u[idx-2*nz]+(3./2.)*k_u[idx-nz]+(-49./18.)*k_u[idx]+(3./2.)*k_u[idx+nz]+(-3./20.)*k_u[idx+2*nz]+(1./90.)*k_u[idx+3*nz])/dx2;
}
else if (i == nx-1)
{
//decentered derivative 3 ranks on the left
dux = ((-1./60.)*k_u[idx-3*nz]+(3./20.)*k_u[idx-2*nz]+(-3./4.)*k_u[idx-nz]+0.0+(3./4.)*0.0+(-3./20.)*0.0+(1./60.)*0.0)/dx;
dPhix = ((-1./60.)*k_Phix[idx-3*nz]+(3./20.)*k_Phix[idx-2*nz]+(-3./4.)*k_Phix[idx-nz]+0.0+(3./4.)*0.0+(-3./20.)*0.0+(1./60.)*0.0)/dx;
lapU += ((1./90.)*k_u[idx-3*nz]+(-3./20.)*k_u[idx-2*nz]+(3./2.)*k_u[idx-nz]+(-49./18.)*k_u[idx]+(3./2.)*0.0+(-3./20.)*0.0+(1./90.)*0.0)/dx2;
}
else if (i == nx-2)
{
//decentered derivative 2 ranks on the left
dux = ((-1./60.)*k_u[idx-3*nz]+(3./20.)*k_u[idx-2*nz]+(-3./4.)*k_u[idx-nz]+0.0+(3./4.)*k_u[idx+nz]+(-3./20.)*0.0+(1./60.)*0.0)/dx;
dPhix = ((-1./60.)*k_Phix[idx-3*nz]+(3./20.)*k_Phix[idx-2*nz]+(-3./4.)*k_Phix[idx-nz]+0.0+(3./4.)*k_Phix[idx+nz]+(-3./20.)*0.0+(1./60.)*0.0)/dx;
lapU += ((1./90.)*k_u[idx-3*nz]+(-3./20.)*k_u[idx-2*nz]+(3./2.)*k_u[idx-nz]+(-49./18.)*k_u[idx]+(3./2.)*k_u[idx+nz]+(-3./20.)*0.0+(1./90.)*0.0)/dx2;
}
else if (k == nx-3)
{
//decentered derivative 1 rank on the left
dux = ((-1./60.)*k_u[idx-3*nz]+(3./20.)*k_u[idx-2*nz]+(-3./4.)*k_u[idx-nz]+0.0+(3./4.)*k_u[idx+nz]+(-3./20.)*k_u[idx+2*nz]+(1./60.)*0.0)/dx;
dPhix = ((-1./60.)*k_Phix[idx-3*nz]+(3./20.)*k_Phix[idx-2*nz]+(-3./4.)*k_Phix[idx-nz]+0.0+(3./4.)*k_Phix[idx+nz]+(-3./20.)*k_Phix[idx+2*nz]+(1./60.)*0.0)/dx;
lapU += ((1./90.)*k_u[idx-3*nz]+(-3./20.)*k_u[idx-2*nz]+(3./2.)*k_u[idx-nz]+(-49./18.)*k_u[idx]+(3./2.)*k_u[idx+nz]+(-3./20.)*k_u[idx+2*nz]+(1./90.)*0.0)/dx2;
}
else
{
//classic centered derivative
dux = ((-1./60.)*k_u[idx-3*nz]+(3./20.)*k_u[idx-2*nz]+(-3./4.)*k_u[idx-nz]+0.0+(3./4.)*k_u[idx+nz]+(-3./20.)*k_u[idx+2*nz]+(1./60.)*k_u[idx+3*nz])/dx;
dPhix = ((-1./60.)*k_Phix[idx-3*nz]+(3./20.)*k_Phix[idx-2*nz]+(-3./4.)*k_Phix[idx-nz]+0.0+(3./4.)*k_Phix[idx+nz]+(-3./20.)*k_Phix[idx+2*nz]+(1./60.)*k_Phix[idx+3*nz])/dx;
lapU += ((1./90.)*k_u[idx-3*nz]+(-3./20.)*k_u[idx-2*nz]+(3./2.)*k_u[idx-nz]+(-49./18.)*k_u[idx]+(3./2.)*k_u[idx+nz]+(-3./20.)*k_u[idx+2*nz]+(1./90.)*k_u[idx+3*nz])/dx2;
}
// Do the Z direction
// Left side
if (k==0)
{
//decentered derivative 3 ranks on the right
duz = ((-1./60.)*0.0+(3./20.)*0.0+(-3./4.)*0.0+0.0+(3./4.)*k_u[idx+s]+(-3./20.)*k_u[idx+2*s]+(1./60.)*k_u[idx+3*s])/dz;
dPhiz = ((-1./60.)*0.0+(3./20.)*0.0+(-3./4.)*0.0+0.0+(3./4.)*k_Phiz[idx+s]+(-3./20.)*k_Phiz[idx+2*s]+(1./60.)*k_Phiz[idx+3*s])/dz;
lapU += ((1./90.)*0.0+(-3./20.)*0.0+(3./2.)*0.0+(-49./18.)*k_u[idx]+(3./2.)*k_u[idx+s]+(-3./20.)*k_u[idx+2*s]+(1./90.)*k_u[idx+3*s])/dz2;
}
else if (k == 1)
{
//decentered derivative 2 rank on the right
duz = ((-1./60.)*0.0+(3./20.)*0.0+(-3./4.)*k_u[idx-s]+0.0+(3./4.)*k_u[idx+s]+(-3./20.)*k_u[idx+2*s]+(1./60.)*k_u[idx+3*s])/dz;
dPhiz = ((-1./60.)*0.0+(3./20.)*0.0+(-3./4.)*k_Phiz[idx-s]+0.0+(3./4.)*k_Phiz[idx+s]+(-3./20.)*k_Phiz[idx+2*s]+(1./60.)*k_Phiz[idx+3*s])/dz;
lapU += ((1./90.)*0.0+(-3./20.)*0.0+(3./2.)*k_u[idx-s]+(-49./18.)*k_u[idx]+(3./2.)*k_u[idx+s]+(-3./20.)*k_u[idx+2*s]+(1./90.)*k_u[idx+3*s])/dz2;
}
else if (k == 2)
{
//decentered derivative 1 rank on the right
duz = ((-1./60.)*0.0+(3./20.)*k_u[idx-2*s]+(-3./4.)*k_u[idx-s]+0.0+(3./4.)*k_u[idx+s]+(-3./20.)*k_u[idx+2*s]+(1./60.)*k_u[idx+3*s])/dz;
dPhiz = ((-1./60.)*0.0+(3./20.)*k_Phiz[idx-2*s]+(-3./4.)*k_Phiz[idx-s]+0.0+(3./4.)*k_Phiz[idx+s]+(-3./20.)*k_Phiz[idx+2*s]+(1./60.)*k_Phiz[idx+3*s])/dz;
lapU += ((1./90.)*0.0+(-3./20.)*k_u[idx-2*s]+(3./2.)*k_u[idx-s]+(-49./18.)*k_u[idx]+(3./2.)*k_u[idx+s]+(-3./20.)*k_u[idx+2*s]+(1./90.)*k_u[idx+3*s])/dz2;
}
else if (k == nz-1)
{
//decentered derivative 3 ranks on the left
duz = ((-1./60.)*k_u[idx-3*s]+(3./20.)*k_u[idx-2*s]+(-3./4.)*k_u[idx-s]+0.0+(3./4.)*0.0+(-3./20.)*0.0+(1./60.)*0.0)/dz;
dPhiz = ((-1./60.)*k_Phiz[idx-3*s]+(3./20.)*k_Phiz[idx-2*s]+(-3./4.)*k_Phiz[idx-s]+0.0+(3./4.)*0.0+(-3./20.)*0.0+(1./60.)*0.0)/dz;
lapU += ((1./90.)*k_u[idx-3*s]+(-3./20.)*k_u[idx-2*s]+(3./2.)*k_u[idx-s]+(-49./18.)*k_u[idx]+(3./2.)*0.0+(-3./20.)*0.0+(1./90.)*0.0)/dz2;
}
else if (k == nz-2)
{
//decentered derivative 2 ranks on the left
duz = ((-1./60.)*k_u[idx-3*s]+(3./20.)*k_u[idx-2*s]+(-3./4.)*k_u[idx-s]+0.0+(3./4.)*k_u[idx+s]+(-3./20.)*0.0+(1./60.)*0.0)/dz;
dPhiz = ((-1./60.)*k_Phiz[idx-3*s]+(3./20.)*k_Phiz[idx-2*s]+(-3./4.)*k_Phiz[idx-s]+0.0+(3./4.)*k_Phiz[idx+s]+(-3./20.)*0.0+(1./60.)*0.0)/dz;
lapU += ((1./90.)*k_u[idx-3*s]+(-3./20.)*k_u[idx-2*s]+(3./2.)*k_u[idx-s]+(-49./18.)*k_u[idx]+(3./2.)*k_u[idx+s]+(-3./20.)*0.0+(1./90.)*0.0)/dz2;
}
else if (k == nz-3)
{
//decentered derivative 1 rank on the left
duz = ((-1./60.)*k_u[idx-3*s]+(3./20.)*k_u[idx-2*s]+(-3./4.)*k_u[idx-s]+0.0+(3./4.)*k_u[idx+s]+(-3./20.)*k_u[idx+2*s]+(1./60.)*0.0)/dz;
dPhiz = ((-1./60.)*k_Phiz[idx-3*s]+(3./20.)*k_Phiz[idx-2*s]+(-3./4.)*k_Phiz[idx-s]+0.0+(3./4.)*k_Phiz[idx+s]+(-3./20.)*k_Phiz[idx+2*s]+(1./60.)*0.0)/dz;
lapU += ((1./90.)*k_u[idx-3*s]+(-3./20.)*k_u[idx-2*s]+(3./2.)*k_u[idx-s]+(-49./18.)*k_u[idx]+(3./2.)*k_u[idx+s]+(-3./20.)*k_u[idx+2*s]+(1./90.)*0.0)/dz2;
}
else
{
//classic centered derivative
duz = ((-1./60.)*k_u[idx-3*s]+(3./20.)*k_u[idx-2*s]+(-3./4.)*k_u[idx-s]+0.0+(3./4.)*k_u[idx+s]+(-3./20.)*k_u[idx+2*s]+(1./60.)*k_u[idx+3*s])/dz;
dPhiz = ((-1./60.)*k_Phiz[idx-3*s]+(3./20.)*k_Phiz[idx-2*s]+(-3./4.)*k_Phiz[idx-s]+0.0+(3./4.)*k_Phiz[idx+s]+(-3./20.)*k_Phiz[idx+2*s]+(1./60.)*k_Phiz[idx+3*s])/dz;
lapU += ((1./90.)*k_u[idx-3*s]+(-3./20.)*k_u[idx-2*s]+(3./2.)*k_u[idx-s]+(-49./18.)*k_u[idx]+(3./2.)*k_u[idx+s]+(-3./20.)*k_u[idx+2*s]+(1./90.)*k_u[idx+3*s])/dz2;
}
sigmax = 0.0;
sigmaz = 0.0;
// Check if in left PML-X
if((n_xlpml>0) && (i < n_xlpml))
{
sigmax = xlpml[i];
}
// Check if in right PML-X
else if((n_xrpml>0) && (i >= nx-n_xrpml))
{
sigmax = xrpml[n_xrpml-((nx-1)-i)];
}
// Check if in left PML-Z
if((n_zlpml>0) && (k < n_zlpml))
{
sigmaz = zlpml[k];
}
// Check if in right PML-Z
else if((n_zrpml>0) && (k >= nz-n_zrpml))
{
sigmaz = zrpml[n_zrpml-((nz-1)-k)]; // 0th element of the right pml array corresponds to n_zrpml'th node from the right boundary.
}
if((sigmaz != 0.0) || (sigmax != 0.0))
{
kp1_Phix[idx] = k_Phix[idx] - dt*sigmax*k_Phix[idx] + dt*(sigmaz-sigmax)*dux;
kp1_Phiz[idx] = k_Phiz[idx] - dt*sigmaz*k_Phiz[idx] + dt*(sigmax-sigmaz)*duz;
fac1 = (2.0*dt2 / (2.0 + dt*(sigmax+sigmaz)));
fac2 = (C[idx]*C[idx])*(rhs[idx]+lapU+dPhix+dPhiz) - (km1_u[idx]-2.0*k_u[idx])/dt2 + (sigmax+sigmaz)*km1_u[idx]/(2.0*dt) - (sigmax*sigmaz)*k_u[idx];
kp1_u[idx] = fac1 * fac2;
}
else
{
kp1_Phix[idx] = k_Phix[idx];
kp1_Phiz[idx] = k_Phiz[idx];
kp1_u[idx] = dt2*(C[idx]*C[idx])*(rhs[idx]+lapU+dPhix+dPhiz) - (km1_u[idx]-2.0*k_u[idx]);
}
}
}
};
#endif
|
main.c | #include <unistd.h>
#include <omp.h>
#include <stdlib.h>
#include <stdio.h>
#include <string.h>
int N_BUCKETS;
struct Bucket {
int* array;
size_t n_elem;
size_t max_elem;
};
struct Bucket* make(size_t max){
struct Bucket* block_arr = malloc(sizeof(struct Bucket));
block_arr->array = malloc(sizeof(int) * max);
block_arr->n_elem = 0;
block_arr->max_elem = max;
return block_arr;
}
void free_bucket(struct Bucket* b){
free(b->array);
free(b);
}
__inline__
void buckets_to_arr(size_t size, struct Bucket* arr, int* res) {
memcpy(res, arr->array, arr->n_elem * sizeof(int));
}
void insert(struct Bucket* arr, int elem){
if(arr->n_elem >= arr->max_elem){
arr->array = realloc(arr->array, sizeof(int) * arr->max_elem * 2);
arr->max_elem *= 2;
}
arr->array[arr->n_elem] = elem;
arr->n_elem++;
}
int cmpfunc (const void * a, const void * b) {
return ( *(int*)a - *(int*)b );
}
void bucket_sort(size_t size, int* arr){
if (!size){
fprintf(stderr, "Can't calculate max of empty array");
_exit(1);
}
int max = arr[0];
int min = arr[0];
for(size_t i = 1; i < size; i++) { //vectorized
if(arr[i] > max) max = arr[i];
if(arr[i] < min) min = arr[i];
}
#ifdef NDEBUG
fprintf(stderr, "max: %d, min: %d\n", max, min);
#endif
struct Bucket* buckets[N_BUCKETS];
for (size_t i = 0; i < N_BUCKETS; i++)
buckets[i] = make(size);
#pragma omp parallel
{
#pragma omp for
for (size_t i = 0; i < N_BUCKETS; i++) {
for (size_t j = 0; j < size; j++){
size_t n_bucket = (arr[j] + abs(min)) * N_BUCKETS / (abs(max + abs(min)));
n_bucket = n_bucket >= N_BUCKETS ? N_BUCKETS - 1 : n_bucket;
if(n_bucket == i) {
#ifdef NDEBUG
fprintf(stderr, "%zu<- %d\n", i, arr[j]);
#endif
buckets[i]->array[buckets[i]->n_elem++] = arr[j];
}
}
qsort(buckets[i]->array, buckets[i]->n_elem, sizeof(int), cmpfunc);
}
}
size_t i = 0;
for(size_t j = 0; j < N_BUCKETS; j++) {
memcpy(arr + i, buckets[j]->array, buckets[j]->n_elem * sizeof(int));
i += buckets[j]->n_elem;
}
}
void print_arr(int* arr, size_t size){
for(size_t i = 0; i < size; i++) {
arr[i] = arr[i];
printf("%d\n", arr[i]);
}
}
int main(int argc, char** argv){
if(argc == 3)
N_BUCKETS = atoi(argv[2]);
else if(argc == 4) {
N_BUCKETS = atoi(argv[2]) * 2;
N_BUCKETS = N_BUCKETS > atoi(argv[3]) ? atoi(argv[3]) : N_BUCKETS;
fprintf(stderr, "%d\n", N_BUCKETS);
}
else
N_BUCKETS = 10;
struct Bucket* b = make(100);
FILE* file = fopen (argv[1], "r");
int v;
while (!feof (file)){
fscanf (file, "%d\n", &v);
insert(b, v);
}
size_t size = b->n_elem;
#ifdef NDEBUG
print_arr(b->array, size);
#endif
double time = omp_get_wtime();
bucket_sort(size, b->array);
fprintf(stderr, "Time=%f\n", omp_get_wtime()-time);
print_arr(b->array, size);
free_bucket(b);
}
|
Parallelizer.h | // This file is part of Eigen, a lightweight C++ template library
// for linear algebra.
//
// Copyright (C) 2010 Gael Guennebaud <gael.guennebaud@inria.fr>
//
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_PARALLELIZER_H
#define EIGEN_PARALLELIZER_H
namespace Eigen {
namespace internal {
/** \internal */
inline void manage_multi_threading(Action action, int* v)
{
static EIGEN_UNUSED int m_maxThreads = -1;
if(action==SetAction)
{
eigen_internal_assert(v!=0);
m_maxThreads = *v;
}
else if(action==GetAction)
{
eigen_internal_assert(v!=0);
#ifdef EIGEN_HAS_OPENMP
if(m_maxThreads>0)
*v = m_maxThreads;
else
*v = omp_get_max_threads();
#else
*v = 1;
#endif
}
else
{
eigen_internal_assert(false);
}
}
}
/** Must be call first when calling Eigen from multiple threads */
inline void initParallel()
{
int nbt;
internal::manage_multi_threading(GetAction, &nbt);
std::ptrdiff_t l1, l2, l3;
internal::manage_caching_sizes(GetAction, &l1, &l2, &l3);
}
/** \returns the max number of threads reserved for Eigen
* \sa setNbThreads */
inline int nbThreads()
{
int ret;
internal::manage_multi_threading(GetAction, &ret);
return ret;
}
/** Sets the max number of threads reserved for Eigen
* \sa nbThreads */
inline void setNbThreads(int v)
{
internal::manage_multi_threading(SetAction, &v);
}
namespace internal {
template<typename Index> struct GemmParallelInfo
{
GemmParallelInfo() : sync(-1), users(0), lhs_start(0), lhs_length(0) {}
Index volatile sync;
int volatile users;
Index lhs_start;
Index lhs_length;
};
template<bool Condition, typename Functor, typename Index>
void parallelize_gemm(const Functor& func, Index rows, Index cols, Index depth, bool transpose)
{
// TODO when EIGEN_USE_BLAS is defined,
// we should still enable OMP for other scalar types
#if !(defined (EIGEN_HAS_OPENMP)) || defined (EIGEN_USE_BLAS)
// FIXME the transpose variable is only needed to properly split
// the matrix product when multithreading is enabled. This is a temporary
// fix to support row-major destination matrices. This whole
// parallelizer mechanism has to be redisigned anyway.
EIGEN_UNUSED_VARIABLE(depth);
EIGEN_UNUSED_VARIABLE(transpose);
func(0,rows, 0,cols);
#else
// Dynamically check whether we should enable or disable OpenMP.
// The conditions are:
// - the max number of threads we can create is greater than 1
// - we are not already in a parallel code
// - the sizes are large enough
// compute the maximal number of threads from the size of the product:
// This first heuristic takes into account that the product kernel is fully optimized when working with nr columns at once.
Index size = transpose ? rows : cols;
Index pb_max_threads = std::max<Index>(1,size / Functor::Traits::nr);
// compute the maximal number of threads from the total amount of work:
double work = static_cast<double>(rows) * static_cast<double>(cols) *
static_cast<double>(depth);
double kMinTaskSize = 50000; // FIXME improve this heuristic.
pb_max_threads = std::max<Index>(1, std::min<Index>(pb_max_threads, work / kMinTaskSize));
// compute the number of threads we are going to use
Index threads = std::min<Index>(nbThreads(), pb_max_threads);
// if multi-threading is explicitely disabled, not useful, or if we already are in a parallel session,
// then abort multi-threading
// FIXME omp_get_num_threads()>1 only works for openmp, what if the user does not use openmp?
if((!Condition) || (threads==1) || (omp_get_num_threads()>1))
return func(0,rows, 0,cols);
Eigen::initParallel();
func.initParallelSession(threads);
if(transpose)
std::swap(rows,cols);
ei_declare_aligned_stack_constructed_variable(GemmParallelInfo<Index>,info,threads,0);
#pragma omp parallel num_threads(threads)
{
Index i = omp_get_thread_num();
// Note that the actual number of threads might be lower than the number of request ones.
Index actual_threads = omp_get_num_threads();
Index blockCols = (cols / actual_threads) & ~Index(0x3);
Index blockRows = (rows / actual_threads);
blockRows = (blockRows/Functor::Traits::mr)*Functor::Traits::mr;
Index r0 = i*blockRows;
Index actualBlockRows = (i+1==actual_threads) ? rows-r0 : blockRows;
Index c0 = i*blockCols;
Index actualBlockCols = (i+1==actual_threads) ? cols-c0 : blockCols;
info[i].lhs_start = r0;
info[i].lhs_length = actualBlockRows;
if(transpose) func(c0, actualBlockCols, 0, rows, info);
else func(0, rows, c0, actualBlockCols, info);
}
#endif
}
} // end namespace internal
} // end namespace Eigen
#endif // EIGEN_PARALLELIZER_H
|
GB_unaryop__abs_fp32_fp32.c | //------------------------------------------------------------------------------
// GB_unaryop: hard-coded functions for each built-in unary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2020, All Rights Reserved.
// http://suitesparse.com See GraphBLAS/Doc/License.txt for license.
//------------------------------------------------------------------------------
// If this file is in the Generated/ folder, do not edit it (auto-generated).
#include "GB.h"
#ifndef GBCOMPACT
#include "GB_control.h"
#include "GB_iterator.h"
#include "GB_unaryop__include.h"
// C=unop(A) is defined by the following types and operators:
// op(A) function: GB_unop__abs_fp32_fp32
// op(A') function: GB_tran__abs_fp32_fp32
// C type: float
// A type: float
// cast: float cij = (float) aij
// unaryop: cij = fabsf (aij)
#define GB_ATYPE \
float
#define GB_CTYPE \
float
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA) \
float aij = Ax [pA]
#define GB_CX(p) Cx [p]
// unary operator
#define GB_OP(z, x) \
z = fabsf (x) ;
// casting
#define GB_CASTING(z, aij) \
float z = (float) aij ;
// cij = op (cast (aij))
#define GB_CAST_OP(pC,pA) \
{ \
/* aij = Ax [pA] */ \
GB_GETA (aij, Ax, pA) ; \
/* Cx [pC] = op (cast (aij)) */ \
GB_CASTING (z, aij) ; \
GB_OP (GB_CX (pC), z) ; \
}
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_ABS || GxB_NO_FP32)
//------------------------------------------------------------------------------
// Cx = op (cast (Ax)): apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB_unop__abs_fp32_fp32
(
float *Cx, // Cx and Ax may be aliased
float *Ax,
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t p ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
GB_CAST_OP (p, p) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (cast (A')): transpose, typecast, and apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB_tran__abs_fp32_fp32
(
GrB_Matrix C,
const GrB_Matrix A,
int64_t *GB_RESTRICT *Rowcounts,
GBI_single_iterator Iter,
const int64_t *GB_RESTRICT A_slice,
int naslice
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#define GB_PHASE_2_OF_2
#include "GB_unaryop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
keygen.h | /*
* @Author: Philippe Dales
* @Date: 2018-07-26 14:26:23
* @Last Modified by: Philippe Dales
* @Last Modified time: 2018-07-26 14:26:23
*/
/*
Beamforming functions.
*/
#ifndef KEYGEN_H
#define KEYGEN_H
#include "xseis/structures.h"
#include "xseis/process.h"
#include "xseis/utils.h"
#include <random>
typedef std::vector<std::vector<uint16_t>> ChanGroups;
namespace keygen {
size_t NChoose2(size_t n)
{
return (n * (n-1)) / 2;
}
ChanGroups RandGroupsN(std::vector<uint16_t>& keys, uint32_t ngroup) {
// auto keys = utils::arange<uint16_t>(0, nkeys);
auto kc = keys;
std::srand(std::time(0));
std::random_shuffle(kc.begin(), kc.end());
uint32_t chunk = keys.size() / ngroup;
uint32_t remain = keys.size() % ngroup;
ChanGroups kgroup;
uint32_t c0 = chunk + 1;
for(size_t i = 0; i < remain; ++i) {
// auto last = i + chunk + 1;
auto first = i * c0;
auto last = (i + 1) * c0;
kgroup.emplace_back(kc.begin() + first, kc.begin() + last);
}
c0 = chunk;
for(size_t i = remain; i < ngroup; ++i) {
// auto last = i + chunk + 1;
auto first = i * c0;
auto last = (i + 1) * c0;
kgroup.emplace_back(kc.begin() + first, kc.begin() + last);
}
// for(size_t i = ; i < kc.size(); i += chunk) {
// auto last = std::min(kc.size(), i + chunk);
// kgroup.emplace_back(kc.begin() + i, kc.begin() + last);
// }
return kgroup;
}
ChanGroups GroupChannels(std::vector<uint16_t>& keys, Vector<uint16_t>& chan_map)
{
ChanGroups groups;
size_t nkeys = keys.size();
for(auto&& k : keys) {
std::vector<uint16_t> group;
for(size_t j = 0; j < chan_map.size_; ++j) {
if (k == chan_map[j]) {
group.push_back(j);
}
}
groups.push_back(group);
}
return groups;
}
Array2D<uint16_t> DistFilt(std::vector<uint16_t>& keys, Array2D<float>& stalocs, float min_dist, float max_dist)
{
// size_t npair = 0;
size_t nkeys = keys.size();
// size_t npair_max = NChoose2(nkeys);
std::vector<uint16_t> ckeys_flat;
// size_t row_ix = 0;
float dist;
float* loc1 = nullptr;
float* loc2 = nullptr;
for (uint i = 0; i < nkeys; ++i)
{
loc1 = stalocs.row(keys[i]);
for (uint j = i + 1; j < nkeys; ++j)
{
loc2 = stalocs.row(keys[j]);
dist = process::DistCartesian(loc1, loc2);
if (dist > min_dist && dist < max_dist)
{
ckeys_flat.push_back(keys[i]);
ckeys_flat.push_back(keys[j]);
}
}
}
auto ckeys = Array2D<uint16_t>(ckeys_flat, 2);
return ckeys;
}
Array2D<uint16_t> unique_pairs(uint nsig)
{
auto ckeys = Array2D<uint16_t>(NChoose2(nsig), 2);
size_t row_ix = 0;
for (uint i = 0; i < nsig; ++i)
{
for (uint j = i + 1; j < nsig; ++j)
{
ckeys(row_ix, 0) = i;
ckeys(row_ix, 1) = j;
row_ix += 1;
}
}
std::cout << "row_ix: " << row_ix << '\n';
std::cout << "nkeys: " << ckeys.nrow_ << '\n';
return ckeys;
}
Array2D<uint16_t> unique_pairs(Vector<uint16_t>& keys)
{
size_t npair = 0;
// crude way to calc nkeys (wil use dist filters later)
for (uint i = 0; i < keys.size_; ++i)
{
for (uint j = i + 1; j < keys.size_; ++j)
{
npair += 1;
}
}
auto ckeys = Array2D<uint16_t>(npair, 2);
size_t row_ix = 0;
for (uint i = 0; i < keys.size_; ++i)
{
for (uint j = i + 1; j < keys.size_; ++j)
{
ckeys(row_ix, 0) = keys[i];
ckeys(row_ix, 1) = keys[j];
row_ix += 1;
}
}
return ckeys;
}
std::vector<uint16_t> UniquePairsFlat(Vector<uint16_t>& keys)
{
std::vector<uint16_t> ckeys;
for (uint i = 0; i < keys.size_; ++i)
{
for (uint j = i + 1; j < keys.size_; ++j)
{
ckeys.push_back(keys[i]);
ckeys.push_back(keys[j]);
}
}
return ckeys;
}
std::vector<uint16_t> AllPairsContamFilt(Vector<uint16_t>& keys, Array2D<float>& stalocs,
std::vector<std::vector<float>> sources, float min_dist, float max_dist)
{
std::vector<uint16_t> ckeys;
for (uint i = 0; i < keys.size_; ++i)
{
float* loc1 = stalocs.row(keys[i]);
for (uint j = i + 1; j < keys.size_; ++j)
{
float* loc2 = stalocs.row(keys[j]);
float dist = process::DistCartesian(loc1, loc2);
if (dist < min_dist && dist > max_dist) continue;
bool pass = true;
for(auto&& src : sources) {
float dd = process::DistDiff(loc1, loc2, src.data());
float dcut = src[3];
if(dd < dcut) pass = false;
}
if (pass == false) continue;
ckeys.push_back(keys[i]);
ckeys.push_back(keys[j]);
}
}
return ckeys;
}
std::vector<uint16_t> AllPairsFilt(Vector<uint16_t>& keys, Array2D<float>& stalocs, float min_dist, float max_dist, bool ang_filt=true)
{
float min_ang = -0.14;
float max_ang = -0.10;
float* loc1 = nullptr;
float* loc2 = nullptr;
float angle;
float dist;
std::vector<uint16_t> ckeys;
for (size_t i = 0; i < keys.size_; ++i)
{
loc1 = stalocs.row(keys[i]);
for (size_t j = i + 1; j < keys.size_; ++j)
{
loc2 = stalocs.row(keys[j]);
dist = process::DistCartesian(loc1, loc2);
// printf("[%u,%u] %.2f \n",i, j, dist);
if (dist > min_dist && dist < max_dist)
{
if (ang_filt == true)
{
angle = process::AngleBetweenPoints(loc1, loc2);
if(min_ang < angle && angle < max_ang) {
continue;
}
}
ckeys.push_back(keys[i]);
ckeys.push_back(keys[j]);
}
}
}
return ckeys;
}
Array2D<uint16_t> AllPairsDistAngleFilt(Vector<uint16_t>& keys, Array2D<float>& stalocs, float min_dist, float max_dist)
{
// size_t npair = 0;
size_t npair_max = NChoose2(keys.size_);
printf("max pairs %lu\n", npair_max);
auto ckeys = Array2D<uint16_t>(npair_max, 2);
size_t row_ix = 0;
float dist;
float* loc1 = nullptr;
float* loc2 = nullptr;
float angle;
for (uint i = 0; i < keys.size_; ++i)
{
loc1 = stalocs.row(keys[i]);
for (uint j = i + 1; j < keys.size_; ++j)
{
loc2 = stalocs.row(keys[j]);
dist = process::DistCartesian(loc1, loc2);
// printf("[%u,%u] %.2f \n",i, j, dist);
if (dist > min_dist && dist < max_dist)
{
angle = process::AngleBetweenPoints(loc1, loc2);
if(angle < -0.14 || angle > -0.10) {
ckeys(row_ix, 0) = keys[i];
ckeys(row_ix, 1) = keys[j];
row_ix += 1;
}
}
}
}
auto ckeys2 = Array2D<uint16_t>(row_ix, 2);
for(uint i = 0; i < ckeys2.size_; ++i) {
ckeys2[i] = ckeys[i];
}
return ckeys2;
}
// RNG broken check later
Array2D<uint16_t> BuildNPairsDistFilt(std::vector<uint16_t>& keys, Array2D<float>& stalocs, float min_dist, float max_dist, uint32_t ncc)
{
auto ckeys = Array2D<uint16_t>(ncc, 2);
uint32_t nkeys = keys.size();
std::cout << "nkeys: " << nkeys << '\n';
// std::mt19937::result_type seed = time(0);
// std::mt19937::result_type seed = 1;
std::mt19937::result_type seed = 0;
auto rand_int = std::bind(std::uniform_int_distribution<uint32_t>(0, nkeys - 1), std::mt19937(seed));
float dist;
float* loc1 = nullptr;
float* loc2 = nullptr;
// uint32_t k1, k2;
size_t i = 0;
while(i < ncc) {
uint32_t k1 = rand_int();
uint32_t k2 = rand_int();
assert(k1 < keys.size());
assert(k2 < keys.size());
if(k1 != k2) {
loc1 = stalocs.row(keys[k1]);
loc2 = stalocs.row(keys[k2]);
dist = process::DistCartesian(loc1, loc2);
// printf("[%u,%u] %.2f \n",i, j, dist);
if (dist > min_dist && dist < max_dist)
{
ckeys.row(i)[0] = keys[k1];
ckeys.row(i)[1] = keys[k2];
i++;
}
}
}
return ckeys;
}
Array2D<uint16_t> BuildNPairsDistAngleFilt(Vector<uint16_t>& keys, Array2D<float>& stalocs, float min_dist, float max_dist, uint ncc)
{
auto ckeys = Array2D<uint16_t>(ncc, 2);
std::mt19937::result_type seed = time(0);
auto rand_int = std::bind(std::uniform_int_distribution<uint>(0, keys.size_ - 1), std::mt19937(seed));
uint16_t k1, k2;
float dist, angle;
float* loc1 = nullptr;
float* loc2 = nullptr;
uint i = 0;
while(i < ncc) {
k1 = rand_int();
k2 = rand_int();
if(k1 != k2) {
loc1 = stalocs.row(keys[k1]);
loc2 = stalocs.row(keys[k2]);
dist = process::DistCartesian(loc1, loc2);
// printf("[%u,%u] %.2f \n",i, j, dist);
if (dist > min_dist && dist < max_dist)
{
angle = process::AngleBetweenPoints(loc1, loc2);
if(angle < -0.14 || angle > -0.10) {
ckeys.row(i)[0] = keys[k1];
ckeys.row(i)[1] = keys[k2];
i++;
}
}
}
}
return ckeys;
}
uint TotalNPairsDistAngleFilt(Vector<uint16_t>& keys, Array2D<float>& stalocs, float min_dist, float max_dist)
{
// auto ckeys = Array2D<uint16_t>(ncc, 2);
uint ncc = 0;
uint16_t k1, k2;
float dist, angle;
float* loc1 = nullptr;
float* loc2 = nullptr;
uint ntot = 0;
for(size_t i = 0; i < keys.size_; ++i) {
for(size_t j = i + 1; j < keys.size_; ++j) {
ntot++;
loc1 = stalocs.row(keys[i]);
loc2 = stalocs.row(keys[j]);
dist = process::DistCartesian(loc1, loc2);
// printf("[%u,%u] %.2f \n",i, j, dist);
if (dist > min_dist && dist < max_dist)
{
angle = process::AngleBetweenPoints(loc1, loc2);
if(angle < -0.14 || angle > -0.10) {
ncc++;
}
}
}
}
std::cout << "nt: " << ntot << '\n';
return ncc;
}
Vector<uint16_t> GetStationKeysNear(float loc[3], Array2D<float>& stalocs, float max_dist) {
std::vector<uint16_t> stakeep;
for(size_t i = 0; i < stalocs.nrow_; ++i) {
if ( process::DistCartesian2D(loc, stalocs.row(i)) < max_dist) {
stakeep.push_back(i);
}
}
auto out = Vector<uint16_t>(stakeep);
return out;
}
std::vector<uint16_t> WithinDistOf(float loc[3], Array2D<float>& stalocs, float max_dist) {
std::vector<uint16_t> stakeep;
for(size_t i = 0; i < stalocs.nrow_; ++i) {
if (process::DistCartesian2D(loc, stalocs.row(i)) < max_dist) {
stakeep.push_back(i);
}
}
return stakeep;
}
Vector<float> DistDiffFromCkeys(Array2D<uint16_t>& ckeys, Array2D<float>& stalocs, float sr) {
auto dist_diff = Vector<float>(ckeys.nrow_);
uint16_t *ckp = nullptr;
for(size_t i = 0; i < ckeys.nrow_; ++i) {
ckp = ckeys.row(i);
dist_diff[i] = process::DistCartesian(stalocs.row(ckp[0]), stalocs.row(ckp[1]));
}
return dist_diff;
}
// // Build groups of ckeys for stas within radius of mid_stas
// std::vector<std::vector<uint16_t>> CkeyPatchesFromStations(std::vector<uint>& mid_stas, Array2D<float>& stalocs, float radius, float cdist_min, float cdist_max, bool ang_filt=true)
// {
// // std::vector<uint16_t> ckeys_vec;
// std::vector<std::vector<uint16_t>> patches;
// for(auto&& ix : mid_stas) {
// auto loc_patch = stalocs.row_view(ix);
// auto pkeys = GetStationKeysNear(loc_patch, stalocs, radius);
// patches.push_back(AllPairsFilt(pkeys, stalocs, cdist_min, cdist_max, ang_filt));
// }
// return patches;
// }
// Builds ckey index from groups of ckeys
std::vector<std::vector<uint>> IndexesFromCkeyPatches(std::vector<std::vector<uint16_t>>& patches)
{
std::vector<std::vector<uint>> ipatches;
size_t csum = 0;
for(auto&& patch : patches) {
size_t ncc = patch.size() / 2;
std::vector<uint> ipatch;
ipatch.reserve(ncc);
for(size_t i = 0; i < ncc; ++i) {
ipatch.push_back(i + csum);
}
ipatches.push_back(ipatch);
csum += ncc;
}
return ipatches;
}
// Builds ckey index from groups of ckeys
Array2D<uint16_t> CkeysFromPatches(std::vector<std::vector<uint16_t>>& patches)
{
// std::vector<std::vector<size_t>> ipatches;
size_t ncc = 0;
for(auto&& patch : patches) {ncc += patch.size() / 2;}
auto ckeys = Array2D<uint16_t>(ncc, 2);
size_t csum = 0;
auto ptr = ckeys.data_;
for(auto&& vec : patches) {
std::copy(vec.begin(), vec.end(), ptr);
ptr += vec.size();
}
return ckeys;
}
// ckeys_vec.insert(ckeys_vec.end(), ck_patch.begin(), ck_patch.end());
// uint patch_len = ck_patch.size() / 2;
// std::vector<uint> ipatch(patch_len);
// for(size_t i = 0; i < patch_len; ++i) {
// ipatch.push_back(i + csum);
// }
// ipatches.push_back(ipatch);
// csum += patch_len;
// std::cout << "nkeys: " << patch_len << '\n';
// std::vector<float> MaxAndLoc(Vector<float>& power, Array2D<float>& gridlocs) {
// size_t amax = std::distance(power.data_,
// std::max_element(power.begin(), power.end()));
// // float max = output.max();
// // size_t amax = output.argmax();
// float *wloc = gridlocs.row(amax);
// std::vector<float> stats = {power[amax], wloc[0], wloc[1], wloc[2]};
// return stats;
// }
// Array2D<float> InterLocOld(Array2D<float>& data_cc, Array2D<uint16_t>& ckeys, Array2D<uint16_t>& ttable, uint16_t nthreads)
// {
// // Each thread given own output buffer to prevent cache invalidations
// const size_t cclen = data_cc.ncol_;
// const size_t ncc = data_cc.nrow_;
// const size_t ngrid = ttable.ncol_;
// uint16_t *tts_sta1, *tts_sta2;
// float *cc_ptr = nullptr;
// auto output = Array2D<float>(nthreads, ngrid);
// size_t niter = 0;
// #pragma omp parallel private(tts_sta1, tts_sta2, cc_ptr) num_threads(nthreads)
// {
// float *out_ptr = output.row(omp_get_thread_num());
// std::fill(out_ptr, out_ptr + ngrid, 0);
// // play around with omp loop scheduling here
// #pragma omp for
// for (size_t i = 0; i < ncc; ++i)
// {
// // if (i % 10000 == 0) {
// // printf("Prog: %.2f \r", ((float) i / ncc * 100));
// // std::cout.flush();
// // }
// tts_sta1 = ttable.row(ckeys(i, 0));
// tts_sta2 = ttable.row(ckeys(i, 1));
// cc_ptr = data_cc.row(i);
// // Migrate single ccf on to grid based on tt difference
// #pragma omp simd \
// aligned(tts_sta1, tts_sta2, out_ptr, cc_ptr: MEM_ALIGNMENT)
// for (size_t j = 0; j < ngrid; ++j)
// {
// // Get appropriate ix of unrolled ccfs (same as mod_floor)
// // by wrapping negative traveltime differences
// // if-else much faster than more elegant mod function
// if (tts_sta2[j] >= tts_sta1[j])
// {
// out_ptr[j] += cc_ptr[tts_sta2[j] - tts_sta1[j]];
// }
// else
// {
// out_ptr[j] += cc_ptr[cclen - tts_sta1[j] + tts_sta2[j]];
// }
// }
// }
// }
// return output;
// }
// std::vector<uint16_t> GetStationKeysNear(Vector<float>& loc, Array2D<float>& stalocs, float max_dist) {
// std::vector<uint16_t> stakeep;
// float dist;
// for(size_t i = 0; i < stalocs.nrow_; ++i) {
// dist = process::DistCartesian2D(loc.data_, stalocs.row(i));
// if(dist < max_dist) {
// stakeep.push_back(i);
// }
// }
// // auto out = Vector<uint16_t>(stakeep);
// return stakeep;
// }
// Array2D<float> EnergyCC(Array2D<float>& data_cc) {
// /* code */
// }
// auto energy_cc = Array2D<float>(data_cc.nrow_, 4);
// float e1;
// float e2;
// float enoise1;
// float enoise2;
// float *sig = nullptr;
// uint ixp;
// uint hlen = npts / 2;
// for(size_t i = 0; i < data_cc.nrow_; ++i) {
// sig = data_cc.row(i);
// ixp = ixphys[i];
// printf("%d\n", i);
// enoise1 = process::rms_energy(sig + ixp, hlen - ixp);
// enoise2 = process::rms_energy(sig + hlen, hlen - ixp);
// e1 = process::rms_energy(sig, ixphys[i]);
// e2 = process::rms_energy(sig + npts - ixphys[i], npts);
// energy_cc(i, 0) = e1;
// energy_cc(i, 1) = e2;
// energy_cc(i, 2) = enoise1;
// energy_cc(i, 3) = enoise2;
// }
// void tt_homo_ix(Array2D<float> &sta_locs, float *src_loc, float vsr, Vector<size_t> &tts)
// {
// float dist;
// for (size_t j = 0; j < tts.size_; ++j) {
// dist = beamform::process::DistCartesian(src_loc, sta_locs.row(j));
// tts[j] = static_cast<size_t>(dist * vsr + 0.5);
// }
// }
// void tt_homo(Vector<float> &tts, Array2D<float> &sta_locs, float *src_loc, float velocity)
// {
// float dist;
// for (int32_t j = 0; j < sta_locs.nrow_; ++j) {
// // dist = process::DistCartesian(src_loc, &sta_locs[j]);
// dist = process::DistCartesian(src_loc, sta_locs.row(j));
// tts[j] = dist / velocity;
// }
// }
// void tt_diff(float *tts, float *tts_cc, int *ckeys, int ncc)
// {
// int key1, key2;
// for (int i = 0; i < ncc; ++i) {
// key1 = ckeys[i * 2];
// key2 = ckeys[i * 2 + 1];
// // printf("%d_%d\n", key1, key2);
// tts_cc[i] = tts[key2] - tts[key1];
// }
// }
// float slant_stack(Array2D<float> &data, Vector<float> &tts, Vector<int> &ix_keep, float src_time, float sr)
// {
// float sum = 0;
// int nvalid = 0;
// int32_t col_ix;
// for (int32_t i = 0; i < ix_keep.size_; ++i) {
// col_ix = (src_time + tts[i]) * sr;
// if (0 <= col_ix && col_ix < data.ncol_) {
// sum += data(i, col_ix);
// // printf("i: %d col_ix: %d, val: %.2f\n", i, col_ix, sig_ptr[col_ix]);
// nvalid++;
// }
// }
// if (nvalid == 0){
// return 0;
// }
// else {
// return sum / nvalid;
// }
// }
// float slant_stack_no_check(Array2D<float> &data, Vector<float> &tts, Vector<int> &ix_keep, float src_time, float sr){
// // No bounds checking, care for segfaults
// float sum = 0;
// // float t_exp;
// // int32_t col_ix;
// int col_ix;
// for (int32_t i = 0; i < ix_keep.size_; ++i) {
// // col_ix = (int32_t) (sr * (src_time + tts[i]));
// // col_ix = (int32_t) (sr * (src_time + tts[i]));
// // col_ix = static_cast<int32_t>((src_time + tts[i]) * sr);
// col_ix = static_cast<int>((src_time + tts[i]) * sr);
// // col_ix = (int) ((src_time + tts[i]) * sr);
// sum += data(i, col_ix);
// // sum += data(i, col_ix);
// }
// return sum / ix_keep.size_;
// }
// void beampower_homo(Array2D<float> &points, Vector<float> &out, Array2D<float> &data, Vector<float> &tts, Array2D<float> &sta_locs, Vector<int> &ix_keep, float velocity, float src_time, float sr) {
// // Vector<float> &tts2 = Vector<float>(&&tts[0], tts.size_);
// for (int32_t i = 0; i < points.nrow_; ++i) {
// tt_homo(tts, sta_locs, points.row(i), velocity);
// // tts2.set_data(&tts[0]);
// // out[i] = slant_stack(data, tts, ix_keep, src_time, sr);
// out[i] = slant_stack_no_check(data, tts, ix_keep, src_time, sr);
// }
// }
// void search_grid(Array2D<float>& data, Array2D<float>& locs,
// Grid& grid, size_t gix_start, size_t gix_end,
// size_t nt_search, float vsr,
// float* win_val, size_t* win_loc)
// {
// size_t nchan = data.nrow_;
// auto tt_ixs = Vector<size_t>(nchan);
// auto output = Vector<float>(nt_search);
// float src_loc[3];
// float *dptr = nullptr;
// float dist;
// printf("Searching grid points: %lu to %lu\n", gix_start, gix_end);
// for (size_t ipt = gix_start; ipt < gix_end; ++ipt)
// {
// // if (ipt % 1000 == 0) {printf("Point: %d / %d\n", ipt, (int) gix_end);}
// // grid.get_point(ipt, src_loc);
// if (ipt % 1000 == 0) {
// printf("Progress: %.2f \n", ((float)(ipt - gix_start) / (gix_end - gix_start) * 100));
// }
// grid.get_point(ipt, src_loc);
// beamform::tt_homo_ix(locs, src_loc, vsr, tt_ixs);
// output.fill(0);
// // For each channel add time comb values to output
// for (size_t i = 0; i < nchan; ++i)
// {
// dptr = data.row(i) + tt_ixs[i];
// for (size_t j = 0; j < nt_search; j++)
// {
// output[j] += dptr[j];
// }
// }
// for (size_t j = 0; j < nt_search; ++j)
// {
// if (std::abs(output[j]) > std::abs(win_val[j])) {
// win_val[j] = output[j];
// win_loc[j] = ipt;
// }
// }
// }
// }
// void search_grid_parallel(std::vector<size_t>& parts, Array2D<float>& data, Array2D<float>& locs, Grid& grid, size_t nt_search, float vsr, Array2D<float>& win_val, Array2D<size_t>& win_loc)
// {
// std::vector<std::thread> pool;
// for (size_t i = 0; i < parts.size() - 1; i++){
// pool.push_back(std::thread([=, &data, &locs, &grid, &win_val, &win_loc] {search_grid(data, locs, grid, parts[i], parts[i + 1], nt_search, vsr, win_val.row(i), win_loc.row(i));}));
// }
// for(auto& thread : pool) thread.join();
// }
}
#endif
|
nested_mixed.c | // RUN: %libomp-compile && env OMP_DISPLAY_AFFINITY=true %libomp-run | %python %S/check.py -c 'CHECK' %s
#include <stdio.h>
#include <stdlib.h>
#include <omp.h>
int main(int argc, char** argv) {
omp_set_affinity_format("TESTER: tl:%L at:%a tn:%n nt:%N");
omp_set_nested(1);
#pragma omp parallel num_threads(1)
{
#pragma omp parallel num_threads(2)
{ }
#pragma omp parallel num_threads(2)
{
#pragma omp parallel num_threads(1)
{
#pragma omp parallel num_threads(2)
{ }
}
}
#pragma omp parallel num_threads(1)
{ }
}
#pragma omp parallel num_threads(2)
{ }
#pragma omp parallel num_threads(1)
{ }
return 0;
}
// CHECK: num_threads=1 TESTER: tl:1 at:0 tn:0 nt:1
// CHECK: num_threads=2 TESTER: tl:2 at:[0-9] tn:[01] nt:2
// CHECK: num_threads=1 TESTER: tl:3 at:[0-9] tn:0 nt:1
// CHECK: num_threads=1 TESTER: tl:3 at:[0-9] tn:0 nt:1
// CHECK: num_threads=2 TESTER: tl:4 at:[0-9] tn:[01] nt:2
// CHECK: num_threads=2 TESTER: tl:4 at:[0-9] tn:[01] nt:2
// CHECK: num_threads=1 TESTER: tl:2 at:[0-9] tn:0 nt:1
// CHECK: num_threads=2 TESTER: tl:1 at:[0-9] tn:[01] nt:2
// CHECK: num_threads=1 TESTER: tl:1 at:[0-9] tn:0 nt:1
|
MultiwayMerge.h | #ifndef _MULTIWAY_MERGE_H_
#define _MULTIWAY_MERGE_H_
#include "CombBLAS.h"
namespace combblas {
/***************************************************************************
* Find indices of column splitters in a list of tuple in parallel.
* Inputs:
* tuples: an array of SpTuples each tuple is (rowid, colid, val)
* nsplits: number of splits requested
* Output:
* splitters: An array of size (nsplits+1) storing the starts and ends of split tuples.
* different type used for output since we might need int or IT
***************************************************************************/
template <typename RT, typename IT, typename NT>
std::vector<RT> findColSplitters(SpTuples<IT,NT> * & spTuples, int nsplits)
{
std::vector<RT> splitters(nsplits+1);
splitters[0] = static_cast<RT>(0);
ColLexiCompare<IT,NT> comp;
#ifdef THREADED
#pragma omp parallel for
#endif
for(int i=1; i< nsplits; i++)
{
IT cur_col = i * (spTuples->getncol()/nsplits);
std::tuple<IT,IT,NT> search_tuple(0, cur_col, NT());
std::tuple<IT,IT,NT>* it = std::lower_bound (spTuples->tuples, spTuples->tuples + spTuples->getnnz(), search_tuple, comp);
splitters[i] = (RT) (it - spTuples->tuples);
}
splitters[nsplits] = spTuples->getnnz();
return splitters;
}
// Find ColSplitters using finger search
// Run by one threrad
template <typename RT, typename IT, typename NT>
std::vector<RT> findColSplittersFinger(SpTuples<IT,NT> * & spTuples, int nsplits)
{
std::vector<RT> splitters(nsplits+1);
splitters[0] = static_cast<RT>(0);
ColLexiCompare<IT,NT> comp;
std::tuple<IT,IT,NT>* start = spTuples->tuples;
std::tuple<IT,IT,NT>* end = spTuples->tuples + spTuples->getnnz();
for(int i=1; i< nsplits; i++)
{
IT cur_col = i * (spTuples->getncol()/nsplits);
std::tuple<IT,IT,NT> search_tuple(0, cur_col, NT());
std::tuple<IT,IT,NT>* it = std::lower_bound (start, end, search_tuple, comp);
splitters[i] = (RT) (it - spTuples->tuples);
//start = it;
}
splitters[nsplits] = spTuples->getnnz();
return splitters;
}
// Symbolic serial merge : only estimates nnz
template<class IT, class NT>
IT SerialMergeNNZ( const std::vector<SpTuples<IT,NT> *> & ArrSpTups)
{
int nlists = ArrSpTups.size();
ColLexiCompare<IT,int> heapcomp;
std::vector<std::tuple<IT, IT, int>> heap(nlists);
std::vector<IT> curptr(nlists, static_cast<IT>(0));
IT hsize = 0;
for(int i=0; i< nlists; ++i)
{
if(ArrSpTups[i]->getnnz()>0)
{
heap[hsize++] = std::make_tuple(std::get<0>(ArrSpTups[i]->tuples[0]), std::get<1>(ArrSpTups[i]->tuples[0]), i);
}
}
std::make_heap(heap.data(), heap.data()+hsize, std::not2(heapcomp));
std::tuple<IT, IT, NT> curTuple;
IT estnnz = 0;
while(hsize > 0)
{
std::pop_heap(heap.data(), heap.data() + hsize, std::not2(heapcomp)); // result is stored in heap[hsize-1]
int source = std::get<2>(heap[hsize-1]);
if( (estnnz ==0) || (std::get<0>(curTuple) != std::get<0>(heap[hsize-1])) || (std::get<1>(curTuple) != std::get<1>(heap[hsize-1])))
{
curTuple = ArrSpTups[source]->tuples[curptr[source]];
estnnz++;
}
curptr[source]++;
if(curptr[source] != ArrSpTups[source]->getnnz()) // That array has not been depleted
{
heap[hsize-1] = std::make_tuple(std::get<0>(ArrSpTups[source]->tuples[curptr[source]]),
std::get<1>(ArrSpTups[source]->tuples[curptr[source]]), source);
std::push_heap(heap.data(), heap.data()+hsize, std::not2(heapcomp));
}
else
{
--hsize;
}
}
return estnnz;
}
/*
"Internal function" called by MultiwayMerge inside threaded region.
The merged list is stored in a preallocated buffer ntuples
Never called from outside.
Assumption1: the input lists are already column sorted
Assumption2: at least two lists are passed to this function
Assumption3: the input and output lists are to be deleted by caller
*/
template<class SR, class IT, class NT>
void SerialMerge( const std::vector<SpTuples<IT,NT> *> & ArrSpTups, std::tuple<IT, IT, NT> * ntuples)
{
int nlists = ArrSpTups.size();
ColLexiCompare<IT,int> heapcomp;
std::vector<std::tuple<IT, IT, int>> heap(nlists); // if performance issue, create this outside of threaded region
std::vector<IT> curptr(nlists, static_cast<IT>(0));
IT estnnz = 0;
IT hsize = 0;
for(int i=0; i< nlists; ++i)
{
if(ArrSpTups[i]->getnnz()>0)
{
estnnz += ArrSpTups[i]->getnnz();
heap[hsize++] = std::make_tuple(std::get<0>(ArrSpTups[i]->tuples[0]), std::get<1>(ArrSpTups[i]->tuples[0]), i);
}
}
std::make_heap(heap.data(), heap.data()+hsize, std::not2(heapcomp));
IT cnz = 0;
while(hsize > 0)
{
std::pop_heap(heap.data(), heap.data() + hsize, std::not2(heapcomp)); // result is stored in heap[hsize-1]
int source = std::get<2>(heap[hsize-1]);
if( (cnz != 0) &&
((std::get<0>(ntuples[cnz-1]) == std::get<0>(heap[hsize-1])) && (std::get<1>(ntuples[cnz-1]) == std::get<1>(heap[hsize-1]))) )
{
std::get<2>(ntuples[cnz-1]) = SR::add(std::get<2>(ntuples[cnz-1]), ArrSpTups[source]->numvalue(curptr[source]++));
}
else
{
ntuples[cnz++] = ArrSpTups[source]->tuples[curptr[source]++];
}
if(curptr[source] != ArrSpTups[source]->getnnz()) // That array has not been depleted
{
heap[hsize-1] = std::make_tuple(std::get<0>(ArrSpTups[source]->tuples[curptr[source]]),
std::get<1>(ArrSpTups[source]->tuples[curptr[source]]), source);
std::push_heap(heap.data(), heap.data()+hsize, std::not2(heapcomp));
}
else
{
--hsize;
}
}
}
// Symbolic serial merge : only estimates nnz
template<class IT, class NT>
IT* SerialMergeNNZHash( const std::vector<SpTuples<IT,NT> *> & ArrSpTups, IT& totnnz, IT& maxnnzPerCol, IT startCol, IT endCol)
{
int nlists = ArrSpTups.size();
IT ncols = endCol - startCol; // in this split
std::vector<IT> curptr(nlists, static_cast<IT>(0));
const IT minHashTableSize = 16;
const IT hashScale = 107;
std::vector<NT> globalHashVec(minHashTableSize);
IT* colnnzC = new IT[ncols](); // nnz in every column of C
maxnnzPerCol = 0;
totnnz = 0;
for(IT col = 0; col<ncols; col++)
{
IT globalCol = col + startCol;
// symbolic flop
size_t nnzcol = 0;
for(int i=0; i<nlists; i++)
{
IT curidx = curptr[i];
while((ArrSpTups[i]->getnnz()>curidx) && (ArrSpTups[i]->colindex(curidx++) == globalCol))
{
nnzcol++;
}
}
size_t ht_size = minHashTableSize;
while(ht_size < nnzcol) //ht_size is set as 2^n
{
ht_size <<= 1;
}
if(globalHashVec.size() < ht_size)
globalHashVec.resize(ht_size);
for(size_t j=0; j < ht_size; ++j)
{
globalHashVec[j] = -1;
}
for(int i=0; i<nlists; i++)
{
//IT curcol = std::get<1>(ArrSpTups[i]->tuples[curptr[i]]);
while((ArrSpTups[i]->getnnz()>curptr[i]) && (ArrSpTups[i]->colindex(curptr[i]) == globalCol))
{
IT key = ArrSpTups[i]->rowindex(curptr[i]);
IT hash = (key*hashScale) & (ht_size-1);
while (1) //hash probing
{
if (globalHashVec[hash] == key) //key is found in hash table
{
break;
}
else if (globalHashVec[hash] == -1) //key is not registered yet
{
globalHashVec[hash] = key;
colnnzC[col] ++;
break;
}
else //key is not found
{
hash = (hash+1) & (ht_size-1);
}
}
curptr[i]++;
}
}
totnnz += colnnzC[col];
if(colnnzC[col] > maxnnzPerCol) maxnnzPerCol = colnnzC[col];
}
return colnnzC;
}
// Serially merge a split along the column
// startCol and endCol denote the start and end of the current split
// maxcolnnz: maximum nnz in a merged column (from symbolic)
template<class SR, class IT, class NT>
void SerialMergeHash( const std::vector<SpTuples<IT,NT> *> & ArrSpTups, std::tuple<IT, IT, NT> * ntuples, IT* colnnz, IT maxcolnnz, IT startCol, IT endCol, bool sorted)
{
int nlists = ArrSpTups.size();
IT ncols = endCol - startCol; // in this split
IT outptr = 0;
std::vector<IT> curptr(nlists, static_cast<IT>(0));
const IT minHashTableSize = 16;
const IT hashScale = 107;
std::vector< std::pair<IT,NT>> globalHashVec(std::max(minHashTableSize, maxcolnnz*2));
for(IT col = 0; col<ncols; col++)
{
IT globalCol = col + startCol;
size_t ht_size = minHashTableSize;
while(ht_size < colnnz[col]) //ht_size is set as 2^n
{
ht_size <<= 1;
}
for(size_t j=0; j < ht_size; ++j)
{
globalHashVec[j].first = -1;
}
for(int i=0; i<nlists; i++)
{
while((ArrSpTups[i]->getnnz()>curptr[i]) && (ArrSpTups[i]->colindex(curptr[i]) == globalCol))
{
IT key = ArrSpTups[i]->rowindex(curptr[i]);
IT hash = (key*hashScale) & (ht_size-1);
while (1) //hash probing
{
NT curval = ArrSpTups[i]->numvalue(curptr[i]);
if (globalHashVec[hash].first == key) //key is found in hash table
{
globalHashVec[hash].second = SR::add(curval, globalHashVec[hash].second);
break;
}
else if (globalHashVec[hash].first == -1) //key is not registered yet
{
globalHashVec[hash].first = key;
globalHashVec[hash].second = curval;
break;
}
else //key is not found
{
hash = (hash+1) & (ht_size-1);
}
}
curptr[i]++;
}
}
if(sorted)
{
size_t index = 0;
for (size_t j=0; j < ht_size; ++j)
{
if (globalHashVec[j].first != -1)
{
globalHashVec[index++] = globalHashVec[j];
}
}
std::sort(globalHashVec.begin(), globalHashVec.begin() + index, sort_less<IT, NT>);
for (size_t j=0; j < index; ++j)
{
ntuples[outptr++]= std::make_tuple(globalHashVec[j].first, globalCol, globalHashVec[j].second);
}
}
else
{
for (size_t j=0; j < ht_size; ++j)
{
if (globalHashVec[j].first != -1)
{
ntuples[outptr++]= std::make_tuple(globalHashVec[j].first, globalCol, globalHashVec[j].second);
}
}
}
}
}
// Performs a balanced merge of the array of SpTuples
// Assumes the input parameters are already column sorted
template<class SR, class IT, class NT>
SpTuples<IT, NT>* MultiwayMerge( std::vector<SpTuples<IT,NT> *> & ArrSpTups, IT mdim = 0, IT ndim = 0, bool delarrs = false )
{
int nlists = ArrSpTups.size();
if(nlists == 0)
{
return new SpTuples<IT,NT>(0, mdim, ndim); //empty mxn SpTuples
}
if(nlists == 1)
{
if(delarrs) // steal data from input, and don't delete input
{
return ArrSpTups[0];
}
else // copy input to output
{
// std::tuple<IT, IT, NT>* mergeTups = static_cast<std::tuple<IT, IT, NT>*>
// (::operator new (sizeof(std::tuple<IT, IT, NT>[ArrSpTups[0]->getnnz()])));
std::tuple<IT, IT, NT>* mergeTups = new std::tuple<IT, IT, NT>[ArrSpTups[0]->getnnz()];
#ifdef THREADED
#pragma omp parallel for
#endif
for(int i=0; i<ArrSpTups[0]->getnnz(); i++)
mergeTups[i] = ArrSpTups[0]->tuples[i];
return new SpTuples<IT,NT> (ArrSpTups[0]->getnnz(), mdim, ndim, mergeTups, false);
}
}
// ---- check correctness of input dimensions ------
for(int i=0; i< nlists; ++i)
{
if((mdim != ArrSpTups[i]->getnrow()) || ndim != ArrSpTups[i]->getncol())
{
std::cerr << "Dimensions of SpTuples do not match on multiwayMerge()" << std::endl;
return new SpTuples<IT,NT>(0,0,0);
}
}
int nthreads = 1;
#ifdef THREADED
#pragma omp parallel
{
nthreads = omp_get_num_threads();
}
#endif
int nsplits = 4*nthreads; // oversplit for load balance
nsplits = std::min(nsplits, (int)ndim); // we cannot split a column
std::vector< std::vector<IT> > colPtrs;
for(int i=0; i< nlists; i++)
{
colPtrs.push_back(findColSplitters<IT>(ArrSpTups[i], nsplits)); // in parallel
}
std::vector<IT> mergedNnzPerSplit(nsplits);
std::vector<IT> inputNnzPerSplit(nsplits);
// ------ estimate memory requirement after merge in each split ------
#ifdef THREADED
#pragma omp parallel for schedule(dynamic)
#endif
for(int i=0; i< nsplits; i++) // for each part
{
std::vector<SpTuples<IT,NT> *> listSplitTups(nlists);
IT t = static_cast<IT>(0);
for(int j=0; j< nlists; ++j)
{
IT curnnz= colPtrs[j][i+1] - colPtrs[j][i];
listSplitTups[j] = new SpTuples<IT, NT> (curnnz, mdim, ndim, ArrSpTups[j]->tuples + colPtrs[j][i], true);
t += colPtrs[j][i+1] - colPtrs[j][i];
}
mergedNnzPerSplit[i] = SerialMergeNNZ(listSplitTups);
inputNnzPerSplit[i] = t;
}
std::vector<IT> mdisp(nsplits+1,0);
for(int i=0; i<nsplits; ++i)
mdisp[i+1] = mdisp[i] + mergedNnzPerSplit[i];
IT mergedNnzAll = mdisp[nsplits];
#ifdef COMBBLAS_DEBUG
IT inputNnzAll = std::accumulate(inputNnzPerSplit.begin(), inputNnzPerSplit.end(), static_cast<IT>(0));
double ratio = inputNnzAll / (double) mergedNnzAll;
std::ostringstream outs;
outs << "Multiwaymerge: inputNnz/mergedNnz = " << ratio << std::endl;
SpParHelper::Print(outs.str());
#endif
// ------ allocate memory outside of the parallel region ------
//std::tuple<IT, IT, NT> * mergeBuf = static_cast<std::tuple<IT, IT, NT>*> (::operator new (sizeof(std::tuple<IT, IT, NT>[mergedNnzAll])));
std::tuple<IT, IT, NT> * mergeBuf = new std::tuple<IT, IT, NT>[mergedNnzAll];
// ------ perform merge in parallel ------
#ifdef THREADED
#pragma omp parallel for schedule(dynamic)
#endif
for(int i=0; i< nsplits; i++) // serially merge part by part
{
std::vector<SpTuples<IT,NT> *> listSplitTups(nlists);
for(int j=0; j< nlists; ++j)
{
IT curnnz= colPtrs[j][i+1] - colPtrs[j][i];
listSplitTups[j] = new SpTuples<IT, NT> (curnnz, mdim, ndim, ArrSpTups[j]->tuples + colPtrs[j][i], true);
}
SerialMerge<SR>(listSplitTups, mergeBuf + mdisp[i]);
}
for(int i=0; i< nlists; i++)
{
if(delarrs)
delete ArrSpTups[i]; // May be expensive for large local matrices
}
return new SpTuples<IT, NT> (mergedNnzAll, mdim, ndim, mergeBuf, true, false);
}
// --------------------------------------------------------
// Hash-based multiway merge
// Columns of the input matrices may or may not be sorted
// the hash merging algorithm does not need sorted inputs
// If sorted=true, columns of the output matrix are sorted
// --------------------------------------------------------
template<class SR, class IT, class NT>
SpTuples<IT, NT>* MultiwayMergeHash( std::vector<SpTuples<IT,NT> *> & ArrSpTups, IT mdim = 0, IT ndim = 0, bool delarrs = false, bool sorted=true )
{
int nlists = ArrSpTups.size();
if(nlists == 0)
{
return new SpTuples<IT,NT>(0, mdim, ndim); //empty mxn SpTuples
}
if(nlists == 1)
{
if(delarrs) // steal data from input, and don't delete input
{
return ArrSpTups[0];
}
else // copy input to output
{
std::tuple<IT, IT, NT>* mergeTups = static_cast<std::tuple<IT, IT, NT>*>
(::operator new (sizeof(std::tuple<IT, IT, NT>[ArrSpTups[0]->getnnz()])));
#ifdef THREADED
#pragma omp parallel for
#endif
for(int i=0; i<ArrSpTups[0]->getnnz(); i++)
mergeTups[i] = ArrSpTups[0]->tuples[i];
// Caution: ArrSpTups[0] can be either sorted or unsorted
// By setting sorted=true, we prevented sorting in the SpTuples constructor
// TODO: we better keep a isSorted flag in SpTuples (also in DCSC/CSC)
return new SpTuples<IT,NT> (ArrSpTups[0]->getnnz(), mdim, ndim, mergeTups, true, true);
}
}
// ---- check correctness of input dimensions ------
for(int i=0; i< nlists; ++i)
{
if((mdim != ArrSpTups[i]->getnrow()) || ndim != ArrSpTups[i]->getncol())
{
std::cerr << "Dimensions of SpTuples do not match on multiwayMerge()" << std::endl;
return new SpTuples<IT,NT>(0,0,0);
}
}
int nthreads = 1;
#ifdef THREADED
#pragma omp parallel
{
nthreads = omp_get_num_threads();
}
#endif
int nsplits = 4*nthreads; // oversplit for load balance
nsplits = std::min(nsplits, (int)ndim); // we cannot split a column
std::vector< std::vector<IT> > colPtrs(nlists);
#ifdef THREADED
#pragma omp parallel for
#endif
for(int j=0; j< nlists; j++)
{
colPtrs[j]=findColSplittersFinger<IT>(ArrSpTups[j], nsplits);
}
// listSplitTups is just a temporary vector to facilitate serial merging
// It does not allocate or move any input tuples
// Hence, sorted and opnew options do not matter when creating SpTuples
// Ideally we can directly work with std::tuples
std::vector<std::vector<SpTuples<IT,NT> *>> listSplitTups(nsplits);
for(int i=0; i< nsplits; ++i) // for each part
{
listSplitTups[i].resize(nlists);
for(int j=0; j< nlists; ++j)
{
IT curnnz= colPtrs[j][i+1] - colPtrs[j][i];
listSplitTups[i][j] = new SpTuples<IT, NT> (curnnz, mdim, ndim, ArrSpTups[j]->tuples + colPtrs[j][i], true);
}
}
std::vector<IT> mergedNnzPerSplit(nsplits);
std::vector<IT> mergedNnzPerSplit1(nsplits);
std::vector<IT> maxNnzPerColumnSplit(nsplits);
std::vector<IT*> nnzPerColSplit(nsplits);
// ------ estimate memory requirement after merge in each split ------
#ifdef THREADED
#pragma omp parallel for schedule(dynamic)
#endif
for(int i=0; i< nsplits; i++) // for each part
{
IT startCol = i* (ndim/nsplits);
IT endCol = (i+1)* (ndim/nsplits);
if(i == (nsplits-1)) endCol = ndim;
nnzPerColSplit[i] = SerialMergeNNZHash(listSplitTups[i], mergedNnzPerSplit[i], maxNnzPerColumnSplit[i], startCol, endCol);
}
std::vector<IT> mdisp(nsplits+1,0);
for(int i=0; i<nsplits; ++i)
mdisp[i+1] = mdisp[i] + mergedNnzPerSplit[i];
IT mergedNnzAll = mdisp[nsplits];
// ------ allocate memory outside of the parallel region ------
std::tuple<IT, IT, NT> * mergeBuf = static_cast<std::tuple<IT, IT, NT>*> (::operator new (sizeof(std::tuple<IT, IT, NT>[mergedNnzAll])));
//std::tuple<IT, IT, NT> * mergeBuf = new std::tuple<IT, IT, NT>[mergedNnzAll];
// ------ perform merge in parallel ------
#ifdef THREADED
#pragma omp parallel for schedule(dynamic)
#endif
for(int i=0; i< nsplits; i++) // serially merge part by part
{
//SerialMerge<SR>(listSplitTups, mergeBuf + mdisp[i]);
IT startCol = i* (ndim/nsplits);
IT endCol = (i+1)* (ndim/nsplits);
if(i == (nsplits-1)) endCol = ndim;
SerialMergeHash<SR>(listSplitTups[i], mergeBuf + mdisp[i], nnzPerColSplit[i], maxNnzPerColumnSplit[i], startCol, endCol, sorted);
// last parameter is for sorted
//
}
for(int i=0; i< nlists; i++)
{
if(delarrs)
delete ArrSpTups[i]; // May be expensive for large local matrices
}
// Caution: We allow both sorted and unsorted tuples in SpTuples
// By setting sorted=true, we prevented sorting in the SpTuples constructor
// TODO: we better keep a isSorted flag in SpTuples (also in DCSC/CSC)
return new SpTuples<IT, NT> (mergedNnzAll, mdim, ndim, mergeBuf, true, true);
}
}
#endif
|
oneWayFunction.c | // Copyright (c) 2017-2018 The Popchain Core Developers
#include "oneWayFunction.h"
#include <stdio.h>
#include <stdint.h>
#include <stdlib.h>
#include <string.h>
#include <assert.h>
#ifndef MAC_OSX
#include <omp.h>
#endif
#include "my_time.h"
#include "common.h"
// OpenSSL Library
#include "c_sha1.h"
#include "c_sha256.h"
#include "c_sha512.h"
#include "c_sha3_256.h"
#include "c_whirlpool.h"
#include "c_ripemd160.h"
#include "c_blake2s256.h"
#include "c_aes128.h"
#include "c_des.h"
#include "c_crc32.h"
#include "c_hmac_md5.h"
#include "c_rc4.h"
#include "c_camellia128.h"
// JTR source code
#include "c_gost.h"
#include "c_haval5_256.h"
#include "c_skein512_256.h"
OneWayFunctionlist cryptoFunc[FUNCTION_NUM] = {
"SHA3-256", cryptopop_sha3_256,
"SHA1", cryptopop_sha1,
"SHA256", cryptopop_sha256,
"SHA512", cryptopop_sha512,
"Whirlpool", cryptopop_whirlpool,
"RIPEMD-160", cryptopop_ripemd160,
"BLAKE2s(256bits)", cryptopop_blake2s256,
"AES(128bits)", cryptopop_aes128,
"DES", cryptopop_des,
"RC4", cryptopop_rc4,
"Camellia(128bits)", cryptopop_camellia128,
"CRC32", cryptopop_crc32,
"HMAC(MD5)", cryptopop_hmac_md5,
"GOST R 34.11-94", cryptopop_gost,
"HAVAL-256/5", cryptopop_haval5_256,
"Skein-512(256bits)", cryptopop_skein512_256
};
void initOneWayFunction() {
gost_init_table();
CRC32_Table_Init();
}
void testOneWayFunction(const char *mess, uint32_t messLen, const int64_t iterNum) {
/*
int64_t j;
uint32_t messLen = (uint32_t)strlen(mess);
uint8_t input[INPUT_LEN], output[FUNCTION_NUM][OUTPUT_LEN];
memset(input, 0, INPUT_LEN*sizeof(uint8_t));
memcpy(input, mess, messLen*sizeof(char));
printf("**************************** Correctness test (One way function) ****************************\n");
printf("Test message: %s\n", mess);
for (int i = 0; i < FUNCTION_NUM; ++i) {
printf("%02d ", i);
cryptoFunc[i].func(input, messLen, output[i]);
view_data_u8(cryptoFunc[i].funcName, output[i], OUTPUT_LEN);
}
printf("*********************************************************************************************\n");
printf("************************************************* Performance test (One way function) *************************************************\n");
uint8_t *result = (uint8_t *)malloc(iterNum * OUTPUT_LEN * sizeof(uint8_t));
assert(NULL != result);
memset(result, 0, iterNum * OUTPUT_LEN * sizeof(uint8_t));
uint32_t threadNumArr[] = {1, 4, 8, 12, 16, 20, 24, 32, 48, 64};
uint32_t threadNumTypes = sizeof(threadNumArr) / sizeof(uint32_t);
printf(" %-18s", "Algorithm");
for (uint32_t ix = 0; ix < threadNumTypes; ++ix)
printf("%12d", threadNumArr[ix]);
printf("\n");
for (int i = 0; i < FUNCTION_NUM; ++i) {
printf("%02d %-18s\t", i, cryptoFunc[i].funcName);
for (uint32_t ix = 0; ix < threadNumTypes; ++ix) {
omp_set_num_threads(threadNumArr[ix]);
double startTime = get_wall_time();
if (threadNumArr[ix] == 1) {
for (j = 0; j < iterNum; ++j) {
cryptoFunc[i].func(input, messLen, result + j * OUTPUT_LEN);
}
} else {
#pragma omp parallel for firstprivate(input), private(j) shared(result)
for (j = 0; j < iterNum; ++j) {
cryptoFunc[i].func(input, messLen, result + j * OUTPUT_LEN);
}
}
double endTime = get_wall_time();
double costTime = endTime - startTime;
printf("%5.0f Kps ", iterNum / 1000 / costTime); fflush(stdout);
// Check result
for (j = 0; j < iterNum; j += 1) {
if (memcmp(output[i], result + j * OUTPUT_LEN, OUTPUT_LEN)) {
printf("Thread num: %u, j: %ld\n", threadNumArr[ix], j);
view_data_u8("output", output[i], OUTPUT_LEN);
view_data_u8("result", result + j * OUTPUT_LEN, OUTPUT_LEN);
abort();
}
}
}
printf("\n");
}
if (NULL != result) {
free(result);
result = NULL;
}
*/
printf("***************************************************************************************************************************************\n");
}
|
perlinnoise.h | #pragma once
#ifndef PERLIN_NOISE_H
#define PERLIN_NOISE_H
#include "noisecommon.h"
#define DEFAULT_PERLIN_FREQUENCY 1.0
#define DEFAULT_PERLIN_LACUNARITY 2.0
#define DEFAULT_PERLIN_PERSISTENCE 0.5
#define DEFAULT_PERLIN_OCTAVE_COUNT 1
#define DEFAULT_PERLIN_SEED 0
#define DEFAULT_PERLIN_POSITION_X 0.0
#define DEFAULT_PERLIN_POSITION_Y 0.0
#define DEFAULT_PERLIN_POSITION_Z 0.0
#define DEFAULT_PERLIN_STEP 1.0 / 256.0
#define DEFAULT_PERLIN_PARALLEL false
#define DEFAULT_PERLIN_QUALITY QUALITY_STANDARD
struct PerlinNoise {
float frequency;
float lacunarity;
float persistence;
unsigned char octave_count;
int seed;
float position[3];
float step;
bool parallel;
float *(*perlin_func)(struct PerlinNoise *, size_t, size_t, size_t);
enum NoiseQuality noise_quality;
};
static inline float *perlin_noise_eval_1d(struct PerlinNoise *perlin_noise, size_t x_size);
static inline float *perlin_noise_eval_2d(struct PerlinNoise *perlin_noise, size_t x_size, size_t y_size);
static inline float *perlin_noise_eval_3d(struct PerlinNoise *perlin_noise, size_t x_size, size_t y_size, size_t z_size);
static inline float perlin_noise_eval_3d_single(struct PerlinNoise *perlin_noise, float x_pos, float y_pos, float z_pos);
static inline float *perlin_noise_eval_3d_fallback(struct PerlinNoise *perlin_noise, size_t x_size, size_t y_size, size_t z_size);
static inline float *perlin_noise_eval_3d_sse2(struct PerlinNoise *perlin_noise, size_t x_size, size_t y_size, size_t z_size);
static inline float *perlin_noise_eval_3d_sse4_1(struct PerlinNoise *perlin_noise, size_t x_size, size_t y_size, size_t z_size);
static inline float *perlin_noise_eval_3d_avx(struct PerlinNoise *perlin_noise, size_t x_size, size_t y_size, size_t z_size);
static inline float *perlin_noise_eval_3d_avx2(struct PerlinNoise *perlin_noise, size_t x_size, size_t y_size, size_t z_size);
static inline float *perlin_noise_eval_3d_avx512(struct PerlinNoise *perlin_noise, size_t x_size, size_t y_size, size_t z_size);
static inline void perlin_noise_init(struct PerlinNoise *perlin_noise) {
perlin_noise->frequency = DEFAULT_PERLIN_FREQUENCY;
perlin_noise->lacunarity = DEFAULT_PERLIN_LACUNARITY;
perlin_noise->persistence = DEFAULT_PERLIN_PERSISTENCE;
perlin_noise->octave_count = DEFAULT_PERLIN_OCTAVE_COUNT;
perlin_noise->seed = DEFAULT_PERLIN_SEED;
perlin_noise->noise_quality = DEFAULT_PERLIN_QUALITY;
perlin_noise->position[0] = DEFAULT_PERLIN_POSITION_X;
perlin_noise->position[1] = DEFAULT_PERLIN_POSITION_Y;
perlin_noise->position[2] = DEFAULT_PERLIN_POSITION_Z;
perlin_noise->step = DEFAULT_PERLIN_STEP;
perlin_noise->parallel = DEFAULT_PERLIN_PARALLEL;
switch (detect_simd_support()) {
#ifdef ARCH_32_64
case SIMD_AVX512F:
perlin_noise->perlin_func = &perlin_noise_eval_3d_fallback;
break;
case SIMD_AVX2:
perlin_noise->perlin_func = &perlin_noise_eval_3d_avx2;
break;
case SIMD_AVX:
perlin_noise->perlin_func = &perlin_noise_eval_3d_avx;
break;
case SIMD_SSE4_1:
perlin_noise->perlin_func = &perlin_noise_eval_3d_sse4_1;
break;
case SIMD_SSE2:
perlin_noise->perlin_func = &perlin_noise_eval_3d_sse2;
break;
#else
case SIMD_NEON:
perlin_noise->perlin_func = &perlin_noise_eval_3d_fallback;
break;
#endif
default:
perlin_noise->perlin_func = &perlin_noise_eval_3d_fallback;
break;
}
}
static inline float *perlin_noise_eval_1d(struct PerlinNoise *perlin_noise, size_t x_size) {
return perlin_noise->perlin_func(perlin_noise, x_size, 1, 1);
}
static inline float *perlin_noise_eval_2d(struct PerlinNoise *perlin_noise, size_t x_size, size_t y_size) {
return perlin_noise->perlin_func(perlin_noise, x_size, y_size, 1);
}
static inline float *perlin_noise_eval_3d(struct PerlinNoise *perlin_noise, size_t x_size, size_t y_size, size_t z_size) {
return perlin_noise->perlin_func(perlin_noise, x_size, y_size, z_size);
}
static inline float perlin_noise_eval_3d_single(struct PerlinNoise *perlin_noise, float x_pos, float y_pos, float z_pos) {
float x = (perlin_noise->position[0] + (x_pos * perlin_noise->step)) * perlin_noise->frequency;
float y = (perlin_noise->position[1] + (y_pos * perlin_noise->step)) * perlin_noise->frequency;
float z = (perlin_noise->position[2] + (z_pos * perlin_noise->step)) * perlin_noise->frequency;
float value = 0.0;
float cur_persistence = 1.0;
for (int cur_octave = 0; cur_octave < perlin_noise->octave_count; cur_octave++) {
float nx = make_int_32_range(x);
float ny = make_int_32_range(y);
float nz = make_int_32_range(z);
int cur_seed = (perlin_noise->seed + cur_octave) & 0xffffffff;
float signal = gradient_coherent_noise_3d(nx, ny, nz, cur_seed, perlin_noise->noise_quality);
value += signal * cur_persistence;
x *= perlin_noise->lacunarity;
y *= perlin_noise->lacunarity;
z *= perlin_noise->lacunarity;
cur_persistence *= perlin_noise->persistence;
}
return value;
}
static inline float *perlin_noise_eval_3d_fallback(struct PerlinNoise *perlin_noise, size_t x_size, size_t y_size, size_t z_size) {
#ifdef CUSTOM_ALLOCATOR
float *noise_set = malloc(sizeof(float) * x_size * y_size * z_size);
#else
float *noise_set = noise_allocate(sizeof(float), sizeof(float) * x_size * y_size * z_size);
#endif
#pragma omp parallel for collapse(3) if (perlin_noise->parallel)
for (int z_dim = 0; z_dim < z_size; z_dim++) {
for (int y_dim = 0; y_dim < y_size; y_dim++) {
for (int x_dim = 0; x_dim < x_size; x_dim++) {
float x = (perlin_noise->position[0] * perlin_noise->frequency) + (x_dim * perlin_noise->step);
float y = (perlin_noise->position[1] * perlin_noise->frequency) + (y_dim * perlin_noise->step);
float z = (perlin_noise->position[2] * perlin_noise->frequency) + (z_dim * perlin_noise->step);
float value = 0.0;
float cur_persistence = 1.0;
for (int cur_octave = 0; cur_octave < perlin_noise->octave_count; cur_octave++) {
float nx = make_int_32_range(x);
float ny = make_int_32_range(y);
float nz = make_int_32_range(z);
int cur_seed = (perlin_noise->seed + cur_octave) & 0xffffffff;
float signal = gradient_coherent_noise_3d(nx, ny, nz, cur_seed, perlin_noise->noise_quality);
value += signal * cur_persistence;
x *= perlin_noise->lacunarity;
y *= perlin_noise->lacunarity;
z *= perlin_noise->lacunarity;
cur_persistence *= perlin_noise->persistence;
}
*(noise_set + (x_dim + (y_dim * x_size) + (z_dim * (x_size * y_size)))) = value;
}
}
}
return noise_set;
}
#ifdef ARCH_32_64
static inline float *perlin_noise_eval_3d_sse2(struct PerlinNoise *perlin_noise, size_t x_size, size_t y_size, size_t z_size) {
float *noise_set = noise_allocate(sizeof(__m128), sizeof(float) * x_size * y_size * z_size);
#pragma omp parallel for collapse(3) if (perlin_noise->parallel)
for (int z_dim = 0; z_dim < z_size; z_dim++) {
for (int y_dim = 0; y_dim < y_size; y_dim++) {
for (int x_dim = 0; x_dim < x_size; x_dim += 4) {
__m128 x_vec = _mm_mul_ps(_mm_add_ps(_mm_set1_ps(perlin_noise->position[0]), _mm_mul_ps(_mm_set_ps(x_dim + 3.0, x_dim + 2.0, x_dim + 1.0, x_dim), _mm_set1_ps(perlin_noise->step))), _mm_set1_ps(perlin_noise->frequency));
float y = (perlin_noise->position[1] + (y_dim * perlin_noise->step)) * perlin_noise->frequency;
float z = (perlin_noise->position[2] + (z_dim * perlin_noise->step)) * perlin_noise->frequency;
__m128 value = _mm_set1_ps(0.0);
float cur_persistence = 1.0;
for (int cur_octave = 0; cur_octave < perlin_noise->octave_count; cur_octave++) {
__m128 nx = make_int_32_range_sse2(x_vec);
float ny = make_int_32_range(y);
float nz = make_int_32_range(z);
int cur_seed = (perlin_noise->seed + cur_octave) & 0xffffffff;
__m128 signal = gradient_coherent_noise_3d_sse2(nx, ny, nz, cur_seed, perlin_noise->noise_quality);
value = _mm_add_ps(value, _mm_mul_ps(signal, _mm_set1_ps(cur_persistence)));
x_vec = _mm_mul_ps(x_vec, _mm_set1_ps(perlin_noise->lacunarity));
y *= perlin_noise->lacunarity;
z *= perlin_noise->lacunarity;
cur_persistence = cur_persistence * perlin_noise->persistence;
}
_mm_store_ps(noise_set + (x_dim + (y_dim * x_size) + (z_dim * (x_size * y_size))), value);
}
}
}
return noise_set;
}
static inline float *perlin_noise_eval_3d_sse4_1(struct PerlinNoise *perlin_noise, size_t x_size, size_t y_size, size_t z_size) {
float *noise_set = noise_allocate(sizeof(__m128), sizeof(float) * x_size * y_size * z_size);
#pragma omp parallel for collapse(3) if (perlin_noise->parallel)
for (int z_dim = 0; z_dim < z_size; z_dim++) {
for (int y_dim = 0; y_dim < y_size; y_dim++) {
for (int x_dim = 0; x_dim < x_size; x_dim += 4) {
__m128 x_vec = _mm_mul_ps(_mm_add_ps(_mm_set1_ps(perlin_noise->position[0]), _mm_mul_ps(_mm_set_ps(x_dim + 3.0, x_dim + 2.0, x_dim + 1.0, x_dim), _mm_set1_ps(perlin_noise->step))), _mm_set1_ps(perlin_noise->frequency));
float y = (perlin_noise->position[1] + (y_dim * perlin_noise->step)) * perlin_noise->frequency;
float z = (perlin_noise->position[2] + (z_dim * perlin_noise->step)) * perlin_noise->frequency;
__m128 value = _mm_set1_ps(0.0);
float cur_persistence = 1.0;
for (int cur_octave = 0; cur_octave < perlin_noise->octave_count; cur_octave++) {
__m128 nx = make_int_32_range_sse2(x_vec);
float ny = make_int_32_range(y);
float nz = make_int_32_range(z);
int cur_seed = (perlin_noise->seed + cur_octave) & 0xffffffff;
__m128 signal = gradient_coherent_noise_3d_sse4_1(nx, ny, nz, cur_seed, perlin_noise->noise_quality);
value = _mm_add_ps(value, _mm_mul_ps(signal, _mm_set1_ps(cur_persistence)));
x_vec = _mm_mul_ps(x_vec, _mm_set1_ps(perlin_noise->lacunarity));
y *= perlin_noise->lacunarity;
z *= perlin_noise->lacunarity;
cur_persistence = cur_persistence * perlin_noise->persistence;
}
_mm_store_ps(noise_set + (x_dim + (y_dim * x_size) + (z_dim * (x_size * y_size))), value);
}
}
}
return noise_set;
}
static inline float *perlin_noise_eval_3d_avx(struct PerlinNoise *perlin_noise, size_t x_size, size_t y_size, size_t z_size) {
float *noise_set = noise_allocate(sizeof(__m256), sizeof(float) * x_size * y_size * z_size);
#pragma omp parallel for collapse(3) if (perlin_noise->parallel)
for (int z_dim = 0; z_dim < z_size; z_dim++) {
for (int y_dim = 0; y_dim < y_size; y_dim++) {
for (int x_dim = 0; x_dim < x_size; x_dim += 8) {
__m256 x_vec = _mm256_mul_ps(_mm256_add_ps(_mm256_set1_ps(perlin_noise->position[0]), _mm256_mul_ps(_mm256_set_ps(x_dim + 7.0, x_dim + 6.0, x_dim + 5.0, x_dim + 4.0, x_dim + 3.0, x_dim + 2.0, x_dim + 1.0, x_dim), _mm256_set1_ps(perlin_noise->step))), _mm256_set1_ps(perlin_noise->frequency));
float y = (perlin_noise->position[1] + (y_dim * perlin_noise->step)) * perlin_noise->frequency;
float z = (perlin_noise->position[2] + (z_dim * perlin_noise->step)) * perlin_noise->frequency;
__m256 value = _mm256_set1_ps(0.0);
float cur_persistence = 1.0;
for (int cur_octave = 0; cur_octave < perlin_noise->octave_count; cur_octave++) {
__m256 nx = make_int_32_range_avx(x_vec);
float ny = make_int_32_range(y);
float nz = make_int_32_range(z);
int cur_seed = (perlin_noise->seed + cur_octave) & 0xffffffff;
__m256 signal = gradient_coherent_noise_3d_avx(nx, ny, nz, cur_seed, perlin_noise->noise_quality);
value = _mm256_add_ps(value, _mm256_mul_ps(signal, _mm256_set1_ps(cur_persistence)));
x_vec = _mm256_mul_ps(x_vec, _mm256_set1_ps(perlin_noise->lacunarity));
y *= perlin_noise->lacunarity;
z *= perlin_noise->lacunarity;
cur_persistence = cur_persistence * perlin_noise->persistence;
}
_mm256_store_ps(noise_set + (x_dim + (y_dim * x_size) + (z_dim * (x_size * y_size))), value);
}
}
}
return noise_set;
}
static inline float *perlin_noise_eval_3d_avx2(struct PerlinNoise *perlin_noise, size_t x_size, size_t y_size, size_t z_size) {
float *noise_set = noise_allocate(sizeof(__m256), sizeof(float) * x_size * y_size * z_size);
#pragma omp parallel for collapse(3) if (perlin_noise->parallel)
for (int z_dim = 0; z_dim < z_size; z_dim++) {
for (int y_dim = 0; y_dim < y_size; y_dim++) {
for (int x_dim = 0; x_dim < x_size; x_dim += 8) {
__m256 x_vec = _mm256_mul_ps(_mm256_add_ps(_mm256_set1_ps(perlin_noise->position[0]), _mm256_mul_ps(_mm256_set_ps(x_dim + 7.0, x_dim + 6.0, x_dim + 5.0, x_dim + 4.0, x_dim + 3.0, x_dim + 2.0, x_dim + 1.0, x_dim), _mm256_set1_ps(perlin_noise->step))), _mm256_set1_ps(perlin_noise->frequency));
float y = (perlin_noise->position[1] + (y_dim * perlin_noise->step)) * perlin_noise->frequency;
float z = (perlin_noise->position[2] + (z_dim * perlin_noise->step)) * perlin_noise->frequency;
__m256 value = _mm256_set1_ps(0.0);
float cur_persistence = 1.0;
for (int cur_octave = 0; cur_octave < perlin_noise->octave_count; cur_octave++) {
__m256 nx = make_int_32_range_avx(x_vec);
float ny = make_int_32_range(y);
float nz = make_int_32_range(z);
int cur_seed = (perlin_noise->seed + cur_octave) & 0xffffffff;
__m256 signal = gradient_coherent_noise_3d_avx2(nx, ny, nz, cur_seed, perlin_noise->noise_quality);
value = _mm256_add_ps(value, _mm256_mul_ps(signal, _mm256_set1_ps(cur_persistence)));
x_vec = _mm256_mul_ps(x_vec, _mm256_set1_ps(perlin_noise->lacunarity));
y *= perlin_noise->lacunarity;
z *= perlin_noise->lacunarity;
cur_persistence = cur_persistence * perlin_noise->persistence;
}
_mm256_store_ps(noise_set + (x_dim + (y_dim * x_size) + (z_dim * (x_size * y_size))), value);
}
}
}
return noise_set;
}
#endif
#endif // PERLIN_NOISE_H
|
omp_for_private.c | <ompts:test>
<ompts:testdescription>Test which checks the omp for private clause by counting up a variable in a parallelized loop. Each thread has a private variable (1) and a variable (2) declared by for private. First it stores the result of its last iteration in variable (2). Then this thread waits some time before it stores the value of the variable (2) in its private variable (1). At the beginning of the next iteration the value of (1) is assigned to (2). At the end all private variables (1) are added to a total sum in a critical section and compared with the correct result.</ompts:testdescription>
<ompts:ompversion>2.0</ompts:ompversion>
<ompts:directive>omp for private</ompts:directive>
<ompts:dependences>omp parallel,omp flush,omp critical,omp threadprivate</ompts:dependences>
<ompts:testcode>
#include <stdio.h>
#include <math.h>
#include "omp_testsuite.h"
/* Utility function do spend some time in a loop */
static void do_some_work (){
int i;
double sum = 0;
for(i = 0; i < 1000; i++){
sum += sqrt ((double) i);
}
}
int sum1;
#pragma omp threadprivate(sum1)
int <ompts:testcode:functionname>omp_for_private</ompts:testcode:functionname> (FILE * logFile)
{
int sum = 0;
<ompts:orphan:vars>
int sum0;
</ompts:orphan:vars>
int known_sum;
sum0 = 0; /* setting (global) sum0 = 0 */
#pragma omp parallel
{
sum1 = 0; /* setting sum1 in each thread to 0 */
{ /* begin of orphaned block */
<ompts:orphan>
int i;
#pragma omp for <ompts:check>private(sum0)</ompts:check> schedule(static,1)
for (i = 1; i <= LOOPCOUNT; i++)
{
sum0 = sum1;
#pragma omp flush
sum0 = sum0 + i;
do_some_work ();
#pragma omp flush
sum1 = sum0;
} /* end of for */
</ompts:orphan>
} /* end of orphaned block */
#pragma omp critical
{
sum = sum + sum1;
} /*end of critical*/
} /* end of parallel*/
known_sum = (LOOPCOUNT * (LOOPCOUNT + 1)) / 2;
return (known_sum == sum);
}
</ompts:testcode>
</ompts:test>
|
representative_list_omp.h | #include "representative_list.h"
#include <hydra/combinatorics/combinations.h>
#include <hydra/combinatorics/combinations_index.h>
#include <hydra/indexing/lintable.h>
#include <hydra/symmetries/permutation_group_action.h>
#include <hydra/symmetries/permutation_group_lookup.h>
#include <hydra/symmetries/symmetry_operations.h>
#include <omp.h>
namespace hydra::symmetries {
template <typename bit_t, class GroupAction, class LinTable>
std::tuple<std::vector<bit_t>, std::vector<idx_t>, std::vector<int>,
std::vector<std::pair<span_size_t, span_size_t>>>
representatives_indices_symmetries_limits(int n_par,
GroupAction const &group_action,
LinTable const &lintable) {
using combinatorics::binomial;
using combinatorics::CombinationsIndexThread;
// Compute all representatives
std::vector<std::vector<bit_t>> reps_thread;
std::vector<std::vector<int>> syms_thread;
#pragma omp parallel
{
int myid = omp_get_thread_num();
int rank = omp_get_num_threads();
#pragma omp single
{ reps_thread.resize(rank); }
for (auto [state, idx] : CombinationsIndexThread<bit_t>(n_sites, n_par)) {
bit_t rep = representative(state, group_action);
if (rep == state) {
idces[idx] = reps_thread[myid].size(); // just local index
reps_thread[myid].push_back(rep);
}
}
#pragma omp barrier
idx_t offset = 0;
for (int id = 0; id < myid; ++id) {
offset += reps_thread[id].size();
}
for (auto [state, idx] : CombinationsIndexThread<bit_t>(n_sites, n_par)) {
if (idces[idx] != invalid_index) {
idces[idx] += offset;
}
}
} // pragma omp parallel
std::vector<bit_t> reps = utils::combine_vectors(reps_thread);
// Compute indices of up-representatives and stabilizer symmetries
#pragma omp parallel
{
int myid = omp_get_thread_num();
int rank = omp_get_num_threads();
#pragma omp single
{ syms_thread.resize(rank); }
for (auto [state, idx] : CombinationsIndexThread<bit_t>(n_sites, n_par)) {
bit_t rep = representative(state, group_action);
assert(bitops::popcnt(rep) == n_par);
assert(rep < (bit_t)1 << n_sites);
assert(rep <= state);
idces[idx] = idces[lintable.index(rep)];
assert(idces[idx] != invalid_index);
// Determine the symmetries that yield the up-representative
span_size_t begin = syms_thread[myid].size();
for (int sym = 0; sym < group_action.n_symmetries(); ++sym) {
if (group_action.apply(sym, state) == rep)
syms_thread[myid].push_back(sym);
}
span_size_t end = syms_thread[myid].size();
sym_limits[idx] = {begin, end - begin};
}
#pragma omp barrier
span_size_t offset = 0;
for (int id = 0; id < myid; ++id) {
offset += syms_thread[id].size();
}
for (auto [state, idx] : CombinationsIndexThread<bit_t>(n_sites, n_par)) {
auto [begin, length] = sym_limits[idx];
sym_limits[idx] = {begin + offset, length};
}
} // pragma omp parallel
// Combine syms
std::vector<int> syms = utils::combine_vectors(syms_thread);
return {reps, idces, syms, sym_limits};
}
} // namespace hydra::symmetries
|
testing_dsymm.c | /**
*
* @file testing_dsymm.c
*
* PLASMA testing routines
* PLASMA is a software package provided by Univ. of Tennessee,
* Univ. of California Berkeley and Univ. of Colorado Denver
*
* @version 2.6.0
* @author Mathieu Faverge
* @date 2010-11-15
* @generated d Tue Jan 7 11:45:18 2014
*
**/
#include <stdlib.h>
#include <stdio.h>
#include <string.h>
#include <math.h>
#include <plasma.h>
#include <cblas.h>
#include <lapacke.h>
#include <core_blas.h>
#include "testing_dmain.h"
static int check_solution(PLASMA_enum transA, PLASMA_enum transB, int M, int N,
double alpha, double *A, int LDA,
double *B, int LDB,
double beta, double *Cref, double *Cplasma, int LDC);
int testing_dsymm(int argc, char **argv)
{
/* Check for number of arguments*/
if ( argc != 7 ){
USAGE("SYMM", "alpha beta M N LDA LDB LDC",
" - alpha : alpha coefficient \n"
" - beta : beta coefficient \n"
" - M : number of rows of matrices A and C \n"
" - N : number of columns of matrices B and C \n"
" - LDA : leading dimension of matrix A \n"
" - LDB : leading dimension of matrix B \n"
" - LDC : leading dimension of matrix C\n");
return -1;
}
double alpha = (double) atol(argv[0]);
double beta = (double) atol(argv[1]);
int M = atoi(argv[2]);
int N = atoi(argv[3]);
int LDA = atoi(argv[4]);
int LDB = atoi(argv[5]);
int LDC = atoi(argv[6]);
int MNmax = max(M, N);
double eps;
int info_solution;
int i, j, s, u;
int LDAxM = LDA*MNmax;
int LDBxN = LDB*N;
int LDCxN = LDC*N;
double *A = (double *)malloc(LDAxM*sizeof(double));
#pragma omp register([LDAxM]A)
double *B = (double *)malloc(LDBxN*sizeof(double));
#pragma omp register([LDBxN]B)
double *C = (double *)malloc(LDCxN*sizeof(double));
#pragma omp register([LDCxN]C)
double *Cinit = (double *)malloc(LDCxN*sizeof(double));
#pragma omp register([LDCxN]Cinit)
double *Cfinal = (double *)malloc(LDCxN*sizeof(double));
#pragma omp register([LDCxN]Cfinal)
/* Check if unable to allocate memory */
if ((!A)||(!B)||(!Cinit)||(!Cfinal)){
printf("Out of Memory \n ");
return -2;
}
eps = LAPACKE_dlamch_work('e');
printf("\n");
printf("------ TESTS FOR PLASMA DSYMM ROUTINE ------- \n");
printf(" Size of the Matrix %d by %d\n", M, N);
printf("\n");
printf(" The matrix A is randomly generated for each test.\n");
printf("============\n");
printf(" The relative machine precision (eps) is to be %e \n",eps);
printf(" Computational tests pass if scaled residuals are less than 10.\n");
/*----------------------------------------------------------
* TESTING DSYMM
*/
/* Initialize A */
PLASMA_dplgsy( (double)0., MNmax, A, LDA, 51 );
/* Initialize B */
LAPACKE_dlarnv_work(IONE, ISEED, LDBxN, B);
/* Initialize C */
LAPACKE_dlarnv_work(IONE, ISEED, LDCxN, C);
for (s=0; s<2; s++) {
for (u=0; u<2; u++) {
/* Initialize Cinit / Cfinal */
for ( i = 0; i < M; i++)
for ( j = 0; j < N; j++)
Cinit[LDC*j+i] = C[LDC*j+i];
for ( i = 0; i < M; i++)
for ( j = 0; j < N; j++)
Cfinal[LDC*j+i] = C[LDC*j+i];
/* PLASMA DSYMM */
PLASMA_dsymm(side[s], uplo[u], M, N, alpha, A, LDA, B, LDB, beta, Cfinal, LDC);
/* Check the solution */
info_solution = check_solution(side[s], uplo[u], M, N, alpha, A, LDA, B, LDB, beta, Cinit, Cfinal, LDC);
if (info_solution == 0) {
printf("***************************************************\n");
printf(" ---- TESTING DSYMM (%5s, %5s) ....... PASSED !\n", sidestr[s], uplostr[u]);
printf("***************************************************\n");
}
else {
printf("************************************************\n");
printf(" - TESTING DSYMM (%s, %s) ... FAILED !\n", sidestr[s], uplostr[u]);
printf("************************************************\n");
}
}
}
free(A); free(B); free(C);
free(Cinit); free(Cfinal);
return 0;
}
/*--------------------------------------------------------------
* Check the solution
*/
static int check_solution(PLASMA_enum side, PLASMA_enum uplo, int M, int N,
double alpha, double *A, int LDA,
double *B, int LDB,
double beta, double *Cref, double *Cplasma, int LDC)
{
int info_solution, NrowA;
double Anorm, Bnorm, Cinitnorm, Cplasmanorm, Clapacknorm, Rnorm;
double eps;
double beta_const;
double result;
double *work = (double *)malloc(max(M, N)* sizeof(double));
beta_const = (double)-1.0;
NrowA = (side == PlasmaLeft) ? M : N;
Anorm = LAPACKE_dlange_work(LAPACK_COL_MAJOR, lapack_const(PlasmaInfNorm), NrowA, NrowA, A, LDA, work);
Bnorm = LAPACKE_dlange_work(LAPACK_COL_MAJOR, lapack_const(PlasmaInfNorm), M, N, B, LDB, work);
Cinitnorm = LAPACKE_dlange_work(LAPACK_COL_MAJOR, lapack_const(PlasmaInfNorm), M, N, Cref, LDC, work);
Cplasmanorm = LAPACKE_dlange_work(LAPACK_COL_MAJOR, lapack_const(PlasmaInfNorm), M, N, Cplasma, LDC, work);
cblas_dsymm(CblasColMajor, (CBLAS_SIDE)side, (CBLAS_UPLO)uplo, M, N, (alpha), A, LDA, B, LDB, (beta), Cref, LDC);
Clapacknorm = LAPACKE_dlange_work(LAPACK_COL_MAJOR, lapack_const(PlasmaInfNorm), M, N, Cref, LDC, work);
cblas_daxpy(LDC * N, (beta_const), Cplasma, 1, Cref, 1);
Rnorm = LAPACKE_dlange_work(LAPACK_COL_MAJOR, lapack_const(PlasmaInfNorm), M, N, Cref, LDC, work);
eps = LAPACKE_dlamch_work('e');
printf("Rnorm %e, Anorm %e, Bnorm %e, Cinitnorm %e, Cplasmanorm %e, Clapacknorm %e\n",Rnorm,Anorm,Bnorm,Cinitnorm,Cplasmanorm,Clapacknorm);
result = Rnorm / ((Anorm + Bnorm + Cinitnorm) * N * eps);
printf("============\n");
printf("Checking the norm of the difference against reference DSYMM \n");
printf("-- ||Cplasma - Clapack||_oo/((||A||_oo+||B||_oo+||C||_oo).N.eps) = %e \n", result );
if ( isinf(Clapacknorm) || isinf(Cplasmanorm) || isnan(result) || isinf(result) || (result > 10.0) ) {
printf("-- The solution is suspicious ! \n");
info_solution = 1;
}
else {
printf("-- The solution is CORRECT ! \n");
info_solution= 0 ;
}
free(work);
return info_solution;
}
|
dynamic_sched.c | #include <stdio.h>
#include <omp.h>
#define THREADS 4
#define N 8
int main ( ) {
int i;
#pragma omp parallel for schedule(dynamic, 4) num_threads(THREADS)
for (i = 0; i < N; i++) {
sleep(i);
printf("Thread %d iteration %d.\n", omp_get_thread_num(), i);
}
return 0;
}
|
sigmoid_ref.c | /*
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you under the Apache License, Version 2.0 (the
* License); you may not use this file except in compliance
* with the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing,
* software distributed under the License is distributed on an
* AS IS BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
* KIND, either express or implied. See the License for the
* specific language governing permissions and limitations
* under the License.
*/
/*
* Copyright (c) 2021, OPEN AI LAB
* Author: hhchen@openailab.com
*/
#include "graph/tensor.h"
#include "graph/node.h"
#include "graph/graph.h"
#include "utility/sys_port.h"
#include "utility/float.h"
#include "utility/log.h"
#include "device/cpu/cpu_node.h"
#include "device/cpu/cpu_graph.h"
#include "device/cpu/cpu_module.h"
#include <math.h>
#define SIGMOID_MAX(a, b) ((a) > (b) ? (a) : (b))
#define SIGMOID_MIN(a, b) ((a) < (b) ? (a) : (b))
int ref_sigmoid_fp32(struct tensor* input_tensor, struct tensor* output_tensor, int num_thread)
{
int dim_num = input_tensor->dim_num;
if (dim_num == 4)
{
int batch = input_tensor->dims[0];
int channel = input_tensor->dims[1];
int cstep = input_tensor->dims[2] * input_tensor->dims[3];
int bstep = channel * cstep;
for (int n = 0; n < batch; n++)
{
#pragma omp parallel for num_threads(num_thread)
for (int c = 0; c < channel; c++)
{
float* input_data = (float*)input_tensor->data + n * bstep + c * cstep;
float* output_data = (float*)output_tensor->data + n * bstep + c * cstep;
for (int i = 0; i < cstep; i++)
{
output_data[i] = SIGMOID_MIN(input_data[i], 30.0f);
output_data[i] = SIGMOID_MAX(input_data[i], -30.0f);
output_data[i] = 1.f / (1 + expf(-output_data[i]));
}
}
}
}
else
{
uint32_t elem_num = input_tensor->elem_num;
float* input_data = (float*)input_tensor->data;
float* output_data = (float*)output_tensor->data;
for (int i = 0; i < elem_num; i++)
{
output_data[i] = SIGMOID_MIN(input_data[i], 30.0f);
output_data[i] = SIGMOID_MAX(input_data[i], -30.0f);
output_data[i] = 1.f / (1 + expf(-output_data[i]));
}
}
return 0;
}
int ref_sigmoid_int8(struct tensor* input_tensor, struct tensor* output_tensor, int num_thread)
{
/* dequant */
int8_t* input_int8 = (int8_t*)input_tensor->data;
int8_t* output_int8 = (int8_t*)output_tensor->data;
float input_scale = input_tensor->scale;
float output_scale = output_tensor->scale;
int32_t input_zero = input_tensor->zero_point;
int32_t output_zero = output_tensor->zero_point;
int input_size = input_tensor->elem_num;
int output_size = output_tensor->elem_num;
float* input_fp32 = (float*)sys_malloc(input_size * sizeof(float));
float* output_fp32 = (float*)sys_malloc(output_size * sizeof(float));
for (int i = 0; i < input_size; i++)
{
input_fp32[i] = ((float)input_int8[i] - (float)input_zero) * input_scale;
}
for (int i = 0; i < input_size; i++)
{
output_fp32[i] = SIGMOID_MIN(input_fp32[i], 30.0f);
output_fp32[i] = SIGMOID_MAX(input_fp32[i], -30.0f);
output_fp32[i] = 1 / (1 + exp(-output_fp32[i]));
}
/* quant */
for (int i = 0; i < output_size; i++)
{
int idata = round(output_fp32[i] / output_scale + output_zero);
if (idata > 127)
idata = 127;
else if (idata < -127)
idata = -127;
output_int8[i] = idata;
}
sys_free(input_fp32);
sys_free(output_fp32);
return 0;
}
int ref_sigmoid_uint8(struct tensor* input_tensor, struct tensor* output_tensor, int num_thread)
{
/* dequant */
uint8_t* input_uint8 = (uint8_t*)input_tensor->data;
uint8_t* output_uint8 = (uint8_t*)output_tensor->data;
float input_scale = input_tensor->scale;
float output_scale = output_tensor->scale;
int32_t input_zero = input_tensor->zero_point;
int32_t output_zero = output_tensor->zero_point;
int input_size = input_tensor->elem_num;
int output_size = output_tensor->elem_num;
float* input_fp32 = (float*)sys_malloc(input_size * sizeof(float));
float* output_fp32 = (float*)sys_malloc(output_size * sizeof(float));
for (int i = 0; i < input_size; i++)
{
input_fp32[i] = ((float)input_uint8[i] - (float)input_zero) * input_scale;
}
for (int i = 0; i < input_size; i++)
{
output_fp32[i] = SIGMOID_MIN(input_fp32[i], 30.0f);
output_fp32[i] = SIGMOID_MAX(input_fp32[i], -30.0f);
output_fp32[i] = 1 / (1 + exp(-output_fp32[i]));
}
/* quant */
for (int i = 0; i < output_size; i++)
{
int udata = round(output_fp32[i] / output_scale + output_zero);
if (udata > 255)
udata = 255;
else if (udata < 0)
udata = 0;
output_uint8[i] = udata;
}
sys_free(input_fp32);
sys_free(output_fp32);
return 0;
}
static int init_node(struct node_ops* node_ops, struct exec_node* exec_node, struct exec_graph* exec_graph)
{
return 0;
}
static int release_node(struct node_ops* node_ops, struct exec_node* exec_node, struct exec_graph* exec_graph)
{
return 0;
}
static int reshape_node(struct node_ops* node_ops, struct exec_node* exec_node, struct exec_graph* exec_graph)
{
struct node* ir_node = exec_node->ir_node;
struct graph* ir_graph = ir_node->graph;
struct tensor* input_tensor;
struct tensor* output_tensor;
int ret = 0;
input_tensor = get_ir_graph_tensor(ir_graph, ir_node->input_tensors[0]);
output_tensor = get_ir_graph_tensor(ir_graph, ir_node->output_tensors[0]);
if (input_tensor->dims[1] != output_tensor->dims[1] || input_tensor->dims[2] != output_tensor->dims[2] || input_tensor->dims[3] != output_tensor->dims[3])
ret = set_ir_tensor_shape(output_tensor, input_tensor->dims, input_tensor->dim_num);
return ret;
}
static int prerun(struct node_ops* node_ops, struct exec_node* exec_node, struct exec_graph* exec_graph)
{
return 0;
}
static int run(struct node_ops* node_ops, struct exec_node* exec_node, struct exec_graph* exec_graph)
{
struct node* ir_node = exec_node->ir_node;
struct graph* ir_graph = ir_node->graph;
struct tensor* input_tensor = get_ir_graph_tensor(ir_graph, ir_node->input_tensors[0]);
struct tensor* output_tensor = get_ir_graph_tensor(ir_graph, ir_node->output_tensors[0]);
int ret = -1;
if (input_tensor->data_type == TENGINE_DT_FP32)
ret = ref_sigmoid_fp32(input_tensor, output_tensor, exec_graph->num_thread);
else if (input_tensor->data_type == TENGINE_DT_INT8)
ret = ref_sigmoid_int8(input_tensor, output_tensor, exec_graph->num_thread);
else if (input_tensor->data_type == TENGINE_DT_UINT8)
ret = ref_sigmoid_uint8(input_tensor, output_tensor, exec_graph->num_thread);
return ret;
}
static int score(struct node_ops* node_ops, struct exec_graph* exec_graph, struct node* exec_node)
{
return OPS_SCORE_CANDO;
}
static struct node_ops sigmoid_node_ops = {.prerun = prerun,
.run = run,
.reshape = reshape_node,
.postrun = NULL,
.init_node = init_node,
.release_node = release_node,
.score = score};
int register_sigmoid_ref_op()
{
return register_builtin_node_ops(OP_SIGMOID, &sigmoid_node_ops);
}
int unregister_sigmoid_ref_op()
{
return unregister_builtin_node_ops(OP_SIGMOID, &sigmoid_node_ops);
}
|
statistic.c | /*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% SSSSS TTTTT AAA TTTTT IIIII SSSSS TTTTT IIIII CCCC %
% SS T A A T I SS T I C %
% SSS T AAAAA T I SSS T I C %
% SS T A A T I SS T I C %
% SSSSS T A A T IIIII SSSSS T IIIII CCCC %
% %
% %
% MagickCore Image Statistical Methods %
% %
% Software Design %
% Cristy %
% July 1992 %
% %
% %
% Copyright 1999-2020 ImageMagick Studio LLC, a non-profit organization %
% dedicated to making software imaging solutions freely available. %
% %
% You may not use this file except in compliance with the License. You may %
% obtain a copy of the License at %
% %
% https://imagemagick.org/script/license.php %
% %
% Unless required by applicable law or agreed to in writing, software %
% distributed under the License is distributed on an "AS IS" BASIS, %
% WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. %
% See the License for the specific language governing permissions and %
% limitations under the License. %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
%
%
*/
/*
Include declarations.
*/
#include "magick/studio.h"
#include "magick/accelerate-private.h"
#include "magick/animate.h"
#include "magick/animate.h"
#include "magick/blob.h"
#include "magick/blob-private.h"
#include "magick/cache.h"
#include "magick/cache-private.h"
#include "magick/cache-view.h"
#include "magick/client.h"
#include "magick/color.h"
#include "magick/color-private.h"
#include "magick/colorspace.h"
#include "magick/colorspace-private.h"
#include "magick/composite.h"
#include "magick/composite-private.h"
#include "magick/compress.h"
#include "magick/constitute.h"
#include "magick/deprecate.h"
#include "magick/display.h"
#include "magick/draw.h"
#include "magick/enhance.h"
#include "magick/exception.h"
#include "magick/exception-private.h"
#include "magick/gem.h"
#include "magick/geometry.h"
#include "magick/list.h"
#include "magick/image-private.h"
#include "magick/magic.h"
#include "magick/magick.h"
#include "magick/memory_.h"
#include "magick/module.h"
#include "magick/monitor.h"
#include "magick/monitor-private.h"
#include "magick/option.h"
#include "magick/paint.h"
#include "magick/pixel-private.h"
#include "magick/profile.h"
#include "magick/property.h"
#include "magick/quantize.h"
#include "magick/random_.h"
#include "magick/random-private.h"
#include "magick/resource_.h"
#include "magick/segment.h"
#include "magick/semaphore.h"
#include "magick/signature-private.h"
#include "magick/statistic.h"
#include "magick/string_.h"
#include "magick/thread-private.h"
#include "magick/timer.h"
#include "magick/utility.h"
#include "magick/version.h"
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% E v a l u a t e I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% EvaluateImage() applies a value to the image with an arithmetic, relational,
% or logical operator to an image. Use these operations to lighten or darken
% an image, to increase or decrease contrast in an image, or to produce the
% "negative" of an image.
%
% The format of the EvaluateImageChannel method is:
%
% MagickBooleanType EvaluateImage(Image *image,
% const MagickEvaluateOperator op,const double value,
% ExceptionInfo *exception)
% MagickBooleanType EvaluateImages(Image *images,
% const MagickEvaluateOperator op,const double value,
% ExceptionInfo *exception)
% MagickBooleanType EvaluateImageChannel(Image *image,
% const ChannelType channel,const MagickEvaluateOperator op,
% const double value,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o channel: the channel.
%
% o op: A channel op.
%
% o value: A value value.
%
% o exception: return any errors or warnings in this structure.
%
*/
static MagickPixelPacket **DestroyPixelThreadSet(const Image *images,
MagickPixelPacket **pixels)
{
register ssize_t
i;
size_t
rows;
assert(pixels != (MagickPixelPacket **) NULL);
rows=MagickMax(GetImageListLength(images),
(size_t) GetMagickResourceLimit(ThreadResource));
for (i=0; i < (ssize_t) rows; i++)
if (pixels[i] != (MagickPixelPacket *) NULL)
pixels[i]=(MagickPixelPacket *) RelinquishMagickMemory(pixels[i]);
pixels=(MagickPixelPacket **) RelinquishMagickMemory(pixels);
return(pixels);
}
static MagickPixelPacket **AcquirePixelThreadSet(const Image *images)
{
const Image
*next;
MagickPixelPacket
**pixels;
register ssize_t
i,
j;
size_t
columns,
rows;
rows=MagickMax(GetImageListLength(images),
(size_t) GetMagickResourceLimit(ThreadResource));
pixels=(MagickPixelPacket **) AcquireQuantumMemory(rows,sizeof(*pixels));
if (pixels == (MagickPixelPacket **) NULL)
return((MagickPixelPacket **) NULL);
(void) memset(pixels,0,rows*sizeof(*pixels));
columns=GetImageListLength(images);
for (next=images; next != (Image *) NULL; next=next->next)
columns=MagickMax(next->columns,columns);
for (i=0; i < (ssize_t) rows; i++)
{
pixels[i]=(MagickPixelPacket *) AcquireQuantumMemory(columns,
sizeof(**pixels));
if (pixels[i] == (MagickPixelPacket *) NULL)
return(DestroyPixelThreadSet(images,pixels));
for (j=0; j < (ssize_t) columns; j++)
GetMagickPixelPacket(images,&pixels[i][j]);
}
return(pixels);
}
static inline double EvaluateMax(const double x,const double y)
{
if (x > y)
return(x);
return(y);
}
#if defined(__cplusplus) || defined(c_plusplus)
extern "C" {
#endif
static int IntensityCompare(const void *x,const void *y)
{
const MagickPixelPacket
*color_1,
*color_2;
int
intensity;
color_1=(const MagickPixelPacket *) x;
color_2=(const MagickPixelPacket *) y;
intensity=(int) MagickPixelIntensity(color_2)-(int)
MagickPixelIntensity(color_1);
return(intensity);
}
#if defined(__cplusplus) || defined(c_plusplus)
}
#endif
static MagickRealType ApplyEvaluateOperator(RandomInfo *random_info,
const Quantum pixel,const MagickEvaluateOperator op,
const MagickRealType value)
{
MagickRealType
result;
register ssize_t
i;
result=0.0;
switch (op)
{
case UndefinedEvaluateOperator:
break;
case AbsEvaluateOperator:
{
result=(MagickRealType) fabs((double) (pixel+value));
break;
}
case AddEvaluateOperator:
{
result=(MagickRealType) (pixel+value);
break;
}
case AddModulusEvaluateOperator:
{
/*
This returns a 'floored modulus' of the addition which is a
positive result. It differs from % or fmod() which returns a
'truncated modulus' result, where floor() is replaced by trunc()
and could return a negative result (which is clipped).
*/
result=pixel+value;
result-=(QuantumRange+1.0)*floor((double) result/(QuantumRange+1.0));
break;
}
case AndEvaluateOperator:
{
result=(MagickRealType) ((ssize_t) pixel & (ssize_t) (value+0.5));
break;
}
case CosineEvaluateOperator:
{
result=(MagickRealType) (QuantumRange*(0.5*cos((double) (2.0*MagickPI*
QuantumScale*pixel*value))+0.5));
break;
}
case DivideEvaluateOperator:
{
result=pixel/(value == 0.0 ? 1.0 : value);
break;
}
case ExponentialEvaluateOperator:
{
result=(MagickRealType) (QuantumRange*exp((double) (value*QuantumScale*
pixel)));
break;
}
case GaussianNoiseEvaluateOperator:
{
result=(MagickRealType) GenerateDifferentialNoise(random_info,pixel,
GaussianNoise,value);
break;
}
case ImpulseNoiseEvaluateOperator:
{
result=(MagickRealType) GenerateDifferentialNoise(random_info,pixel,
ImpulseNoise,value);
break;
}
case LaplacianNoiseEvaluateOperator:
{
result=(MagickRealType) GenerateDifferentialNoise(random_info,pixel,
LaplacianNoise,value);
break;
}
case LeftShiftEvaluateOperator:
{
result=(double) pixel;
for (i=0; i < (ssize_t) value; i++)
result*=2.0;
break;
}
case LogEvaluateOperator:
{
if ((QuantumScale*pixel) >= MagickEpsilon)
result=(MagickRealType) (QuantumRange*log((double) (QuantumScale*value*
pixel+1.0))/log((double) (value+1.0)));
break;
}
case MaxEvaluateOperator:
{
result=(MagickRealType) EvaluateMax((double) pixel,value);
break;
}
case MeanEvaluateOperator:
{
result=(MagickRealType) (pixel+value);
break;
}
case MedianEvaluateOperator:
{
result=(MagickRealType) (pixel+value);
break;
}
case MinEvaluateOperator:
{
result=(MagickRealType) MagickMin((double) pixel,value);
break;
}
case MultiplicativeNoiseEvaluateOperator:
{
result=(MagickRealType) GenerateDifferentialNoise(random_info,pixel,
MultiplicativeGaussianNoise,value);
break;
}
case MultiplyEvaluateOperator:
{
result=(MagickRealType) (value*pixel);
break;
}
case OrEvaluateOperator:
{
result=(MagickRealType) ((ssize_t) pixel | (ssize_t) (value+0.5));
break;
}
case PoissonNoiseEvaluateOperator:
{
result=(MagickRealType) GenerateDifferentialNoise(random_info,pixel,
PoissonNoise,value);
break;
}
case PowEvaluateOperator:
{
if (pixel < 0)
result=(MagickRealType) -(QuantumRange*pow((double) -(QuantumScale*
pixel),(double) value));
else
result=(MagickRealType) (QuantumRange*pow((double) (QuantumScale*pixel),
(double) value));
break;
}
case RightShiftEvaluateOperator:
{
result=(MagickRealType) pixel;
for (i=0; i < (ssize_t) value; i++)
result/=2.0;
break;
}
case RootMeanSquareEvaluateOperator:
{
result=(MagickRealType) (pixel*pixel+value);
break;
}
case SetEvaluateOperator:
{
result=value;
break;
}
case SineEvaluateOperator:
{
result=(MagickRealType) (QuantumRange*(0.5*sin((double) (2.0*MagickPI*
QuantumScale*pixel*value))+0.5));
break;
}
case SubtractEvaluateOperator:
{
result=(MagickRealType) (pixel-value);
break;
}
case SumEvaluateOperator:
{
result=(MagickRealType) (pixel+value);
break;
}
case ThresholdEvaluateOperator:
{
result=(MagickRealType) (((MagickRealType) pixel <= value) ? 0 :
QuantumRange);
break;
}
case ThresholdBlackEvaluateOperator:
{
result=(MagickRealType) (((MagickRealType) pixel <= value) ? 0 : pixel);
break;
}
case ThresholdWhiteEvaluateOperator:
{
result=(MagickRealType) (((MagickRealType) pixel > value) ? QuantumRange :
pixel);
break;
}
case UniformNoiseEvaluateOperator:
{
result=(MagickRealType) GenerateDifferentialNoise(random_info,pixel,
UniformNoise,value);
break;
}
case XorEvaluateOperator:
{
result=(MagickRealType) ((ssize_t) pixel ^ (ssize_t) (value+0.5));
break;
}
}
return(result);
}
static Image *AcquireImageCanvas(const Image *images,ExceptionInfo *exception)
{
const Image
*p,
*q;
size_t
columns,
number_channels,
rows;
q=images;
columns=images->columns;
rows=images->rows;
number_channels=0;
for (p=images; p != (Image *) NULL; p=p->next)
{
size_t
channels;
channels=3;
if (p->matte != MagickFalse)
channels+=1;
if (p->colorspace == CMYKColorspace)
channels+=1;
if (channels > number_channels)
{
number_channels=channels;
q=p;
}
if (p->columns > columns)
columns=p->columns;
if (p->rows > rows)
rows=p->rows;
}
return(CloneImage(q,columns,rows,MagickTrue,exception));
}
MagickExport MagickBooleanType EvaluateImage(Image *image,
const MagickEvaluateOperator op,const double value,ExceptionInfo *exception)
{
MagickBooleanType
status;
status=EvaluateImageChannel(image,CompositeChannels,op,value,exception);
return(status);
}
MagickExport Image *EvaluateImages(const Image *images,
const MagickEvaluateOperator op,ExceptionInfo *exception)
{
#define EvaluateImageTag "Evaluate/Image"
CacheView
*evaluate_view;
Image
*image;
MagickBooleanType
status;
MagickOffsetType
progress;
MagickPixelPacket
**magick_restrict evaluate_pixels,
zero;
RandomInfo
**magick_restrict random_info;
size_t
number_images;
ssize_t
y;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
unsigned long
key;
#endif
assert(images != (Image *) NULL);
assert(images->signature == MagickCoreSignature);
if (images->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",images->filename);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickCoreSignature);
image=AcquireImageCanvas(images,exception);
if (image == (Image *) NULL)
return((Image *) NULL);
if (SetImageStorageClass(image,DirectClass) == MagickFalse)
{
InheritException(exception,&image->exception);
image=DestroyImage(image);
return((Image *) NULL);
}
evaluate_pixels=AcquirePixelThreadSet(images);
if (evaluate_pixels == (MagickPixelPacket **) NULL)
{
image=DestroyImage(image);
(void) ThrowMagickException(exception,GetMagickModule(),
ResourceLimitError,"MemoryAllocationFailed","`%s'",images->filename);
return((Image *) NULL);
}
/*
Evaluate image pixels.
*/
status=MagickTrue;
progress=0;
number_images=GetImageListLength(images);
GetMagickPixelPacket(images,&zero);
random_info=AcquireRandomInfoThreadSet();
evaluate_view=AcquireAuthenticCacheView(image,exception);
if (op == MedianEvaluateOperator)
{
#if defined(MAGICKCORE_OPENMP_SUPPORT)
key=GetRandomSecretKey(random_info[0]);
#pragma omp parallel for schedule(static) shared(progress,status) \
magick_number_threads(image,images,image->rows,key == ~0UL)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
CacheView
*image_view;
const Image
*next;
const int
id = GetOpenMPThreadId();
register IndexPacket
*magick_restrict evaluate_indexes;
register MagickPixelPacket
*evaluate_pixel;
register PixelPacket
*magick_restrict q;
register ssize_t
x;
if (status == MagickFalse)
continue;
q=QueueCacheViewAuthenticPixels(evaluate_view,0,y,image->columns,1,
exception);
if (q == (PixelPacket *) NULL)
{
status=MagickFalse;
continue;
}
evaluate_indexes=GetCacheViewAuthenticIndexQueue(evaluate_view);
evaluate_pixel=evaluate_pixels[id];
for (x=0; x < (ssize_t) image->columns; x++)
{
register ssize_t
i;
for (i=0; i < (ssize_t) number_images; i++)
evaluate_pixel[i]=zero;
next=images;
for (i=0; i < (ssize_t) number_images; i++)
{
register const IndexPacket
*indexes;
register const PixelPacket
*p;
image_view=AcquireVirtualCacheView(next,exception);
p=GetCacheViewVirtualPixels(image_view,x,y,1,1,exception);
if (p == (const PixelPacket *) NULL)
{
image_view=DestroyCacheView(image_view);
break;
}
indexes=GetCacheViewVirtualIndexQueue(image_view);
evaluate_pixel[i].red=ApplyEvaluateOperator(random_info[id],
GetPixelRed(p),op,evaluate_pixel[i].red);
evaluate_pixel[i].green=ApplyEvaluateOperator(random_info[id],
GetPixelGreen(p),op,evaluate_pixel[i].green);
evaluate_pixel[i].blue=ApplyEvaluateOperator(random_info[id],
GetPixelBlue(p),op,evaluate_pixel[i].blue);
evaluate_pixel[i].opacity=ApplyEvaluateOperator(random_info[id],
GetPixelAlpha(p),op,evaluate_pixel[i].opacity);
if (image->colorspace == CMYKColorspace)
evaluate_pixel[i].index=ApplyEvaluateOperator(random_info[id],
*indexes,op,evaluate_pixel[i].index);
image_view=DestroyCacheView(image_view);
next=GetNextImageInList(next);
}
qsort((void *) evaluate_pixel,number_images,sizeof(*evaluate_pixel),
IntensityCompare);
SetPixelRed(q,ClampToQuantum(evaluate_pixel[i/2].red));
SetPixelGreen(q,ClampToQuantum(evaluate_pixel[i/2].green));
SetPixelBlue(q,ClampToQuantum(evaluate_pixel[i/2].blue));
SetPixelAlpha(q,ClampToQuantum(evaluate_pixel[i/2].opacity));
if (image->colorspace == CMYKColorspace)
SetPixelIndex(evaluate_indexes+i,ClampToQuantum(
evaluate_pixel[i/2].index));
q++;
}
if (SyncCacheViewAuthenticPixels(evaluate_view,exception) == MagickFalse)
status=MagickFalse;
if (images->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp atomic
#endif
progress++;
proceed=SetImageProgress(images,EvaluateImageTag,progress,
image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
}
else
{
#if defined(MAGICKCORE_OPENMP_SUPPORT)
key=GetRandomSecretKey(random_info[0]);
#pragma omp parallel for schedule(static) shared(progress,status) \
magick_number_threads(image,images,image->rows,key == ~0UL)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
CacheView
*image_view;
const Image
*next;
const int
id = GetOpenMPThreadId();
register IndexPacket
*magick_restrict evaluate_indexes;
register ssize_t
i,
x;
register MagickPixelPacket
*evaluate_pixel;
register PixelPacket
*magick_restrict q;
if (status == MagickFalse)
continue;
q=QueueCacheViewAuthenticPixels(evaluate_view,0,y,image->columns,1,
exception);
if (q == (PixelPacket *) NULL)
{
status=MagickFalse;
continue;
}
evaluate_indexes=GetCacheViewAuthenticIndexQueue(evaluate_view);
evaluate_pixel=evaluate_pixels[id];
for (x=0; x < (ssize_t) image->columns; x++)
evaluate_pixel[x]=zero;
next=images;
for (i=0; i < (ssize_t) number_images; i++)
{
register const IndexPacket
*indexes;
register const PixelPacket
*p;
image_view=AcquireVirtualCacheView(next,exception);
p=GetCacheViewVirtualPixels(image_view,0,y,image->columns,1,
exception);
if (p == (const PixelPacket *) NULL)
{
image_view=DestroyCacheView(image_view);
break;
}
indexes=GetCacheViewVirtualIndexQueue(image_view);
for (x=0; x < (ssize_t) image->columns; x++)
{
evaluate_pixel[x].red=ApplyEvaluateOperator(random_info[id],
GetPixelRed(p),i == 0 ? AddEvaluateOperator : op,
evaluate_pixel[x].red);
evaluate_pixel[x].green=ApplyEvaluateOperator(random_info[id],
GetPixelGreen(p),i == 0 ? AddEvaluateOperator : op,
evaluate_pixel[x].green);
evaluate_pixel[x].blue=ApplyEvaluateOperator(random_info[id],
GetPixelBlue(p),i == 0 ? AddEvaluateOperator : op,
evaluate_pixel[x].blue);
evaluate_pixel[x].opacity=ApplyEvaluateOperator(random_info[id],
GetPixelAlpha(p),i == 0 ? AddEvaluateOperator : op,
evaluate_pixel[x].opacity);
if (image->colorspace == CMYKColorspace)
evaluate_pixel[x].index=ApplyEvaluateOperator(random_info[id],
GetPixelIndex(indexes+x),i == 0 ? AddEvaluateOperator : op,
evaluate_pixel[x].index);
p++;
}
image_view=DestroyCacheView(image_view);
next=GetNextImageInList(next);
}
if (op == MeanEvaluateOperator)
for (x=0; x < (ssize_t) image->columns; x++)
{
evaluate_pixel[x].red/=number_images;
evaluate_pixel[x].green/=number_images;
evaluate_pixel[x].blue/=number_images;
evaluate_pixel[x].opacity/=number_images;
evaluate_pixel[x].index/=number_images;
}
if (op == RootMeanSquareEvaluateOperator)
for (x=0; x < (ssize_t) image->columns; x++)
{
evaluate_pixel[x].red=sqrt((double) evaluate_pixel[x].red/
number_images);
evaluate_pixel[x].green=sqrt((double) evaluate_pixel[x].green/
number_images);
evaluate_pixel[x].blue=sqrt((double) evaluate_pixel[x].blue/
number_images);
evaluate_pixel[x].opacity=sqrt((double) evaluate_pixel[x].opacity/
number_images);
evaluate_pixel[x].index=sqrt((double) evaluate_pixel[x].index/
number_images);
}
if (op == MultiplyEvaluateOperator)
for (x=0; x < (ssize_t) image->columns; x++)
{
register ssize_t
j;
for (j=0; j < (ssize_t) (number_images-1); j++)
{
evaluate_pixel[x].red*=(MagickRealType) QuantumScale;
evaluate_pixel[x].green*=(MagickRealType) QuantumScale;
evaluate_pixel[x].blue*=(MagickRealType) QuantumScale;
evaluate_pixel[x].opacity*=(MagickRealType) QuantumScale;
evaluate_pixel[x].index*=(MagickRealType) QuantumScale;
}
}
for (x=0; x < (ssize_t) image->columns; x++)
{
SetPixelRed(q,ClampToQuantum(evaluate_pixel[x].red));
SetPixelGreen(q,ClampToQuantum(evaluate_pixel[x].green));
SetPixelBlue(q,ClampToQuantum(evaluate_pixel[x].blue));
SetPixelAlpha(q,ClampToQuantum(evaluate_pixel[x].opacity));
if (image->colorspace == CMYKColorspace)
SetPixelIndex(evaluate_indexes+x,ClampToQuantum(
evaluate_pixel[x].index));
q++;
}
if (SyncCacheViewAuthenticPixels(evaluate_view,exception) == MagickFalse)
status=MagickFalse;
if (images->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
proceed=SetImageProgress(images,EvaluateImageTag,progress++,
image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
}
evaluate_view=DestroyCacheView(evaluate_view);
evaluate_pixels=DestroyPixelThreadSet(images,evaluate_pixels);
random_info=DestroyRandomInfoThreadSet(random_info);
if (status == MagickFalse)
image=DestroyImage(image);
return(image);
}
MagickExport MagickBooleanType EvaluateImageChannel(Image *image,
const ChannelType channel,const MagickEvaluateOperator op,const double value,
ExceptionInfo *exception)
{
CacheView
*image_view;
MagickBooleanType
status;
MagickOffsetType
progress;
RandomInfo
**magick_restrict random_info;
ssize_t
y;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
unsigned long
key;
#endif
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickCoreSignature);
if (SetImageStorageClass(image,DirectClass) == MagickFalse)
{
InheritException(exception,&image->exception);
return(MagickFalse);
}
status=MagickTrue;
progress=0;
random_info=AcquireRandomInfoThreadSet();
image_view=AcquireAuthenticCacheView(image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
key=GetRandomSecretKey(random_info[0]);
#pragma omp parallel for schedule(static) shared(progress,status) \
magick_number_threads(image,image,image->rows,key == ~0UL)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
const int
id = GetOpenMPThreadId();
register IndexPacket
*magick_restrict indexes;
register PixelPacket
*magick_restrict q;
register ssize_t
x;
if (status == MagickFalse)
continue;
q=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,exception);
if (q == (PixelPacket *) NULL)
{
status=MagickFalse;
continue;
}
indexes=GetCacheViewAuthenticIndexQueue(image_view);
for (x=0; x < (ssize_t) image->columns; x++)
{
MagickRealType
result;
if ((channel & RedChannel) != 0)
{
result=ApplyEvaluateOperator(random_info[id],GetPixelRed(q),op,value);
if (op == MeanEvaluateOperator)
result/=2.0;
SetPixelRed(q,ClampToQuantum(result));
}
if ((channel & GreenChannel) != 0)
{
result=ApplyEvaluateOperator(random_info[id],GetPixelGreen(q),op,
value);
if (op == MeanEvaluateOperator)
result/=2.0;
SetPixelGreen(q,ClampToQuantum(result));
}
if ((channel & BlueChannel) != 0)
{
result=ApplyEvaluateOperator(random_info[id],GetPixelBlue(q),op,
value);
if (op == MeanEvaluateOperator)
result/=2.0;
SetPixelBlue(q,ClampToQuantum(result));
}
if ((channel & OpacityChannel) != 0)
{
if (image->matte == MagickFalse)
{
result=ApplyEvaluateOperator(random_info[id],GetPixelOpacity(q),
op,value);
if (op == MeanEvaluateOperator)
result/=2.0;
SetPixelOpacity(q,ClampToQuantum(result));
}
else
{
result=ApplyEvaluateOperator(random_info[id],GetPixelAlpha(q),
op,value);
if (op == MeanEvaluateOperator)
result/=2.0;
SetPixelAlpha(q,ClampToQuantum(result));
}
}
if (((channel & IndexChannel) != 0) && (indexes != (IndexPacket *) NULL))
{
result=ApplyEvaluateOperator(random_info[id],GetPixelIndex(indexes+x),
op,value);
if (op == MeanEvaluateOperator)
result/=2.0;
SetPixelIndex(indexes+x,ClampToQuantum(result));
}
q++;
}
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
proceed=SetImageProgress(image,EvaluateImageTag,progress++,image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
image_view=DestroyCacheView(image_view);
random_info=DestroyRandomInfoThreadSet(random_info);
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% F u n c t i o n I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% FunctionImage() applies a value to the image with an arithmetic, relational,
% or logical operator to an image. Use these operations to lighten or darken
% an image, to increase or decrease contrast in an image, or to produce the
% "negative" of an image.
%
% The format of the FunctionImageChannel method is:
%
% MagickBooleanType FunctionImage(Image *image,
% const MagickFunction function,const ssize_t number_parameters,
% const double *parameters,ExceptionInfo *exception)
% MagickBooleanType FunctionImageChannel(Image *image,
% const ChannelType channel,const MagickFunction function,
% const ssize_t number_parameters,const double *argument,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o channel: the channel.
%
% o function: A channel function.
%
% o parameters: one or more parameters.
%
% o exception: return any errors or warnings in this structure.
%
*/
static Quantum ApplyFunction(Quantum pixel,const MagickFunction function,
const size_t number_parameters,const double *parameters,
ExceptionInfo *exception)
{
MagickRealType
result;
register ssize_t
i;
(void) exception;
result=0.0;
switch (function)
{
case PolynomialFunction:
{
/*
* Polynomial
* Parameters: polynomial constants, highest to lowest order
* For example: c0*x^3 + c1*x^2 + c2*x + c3
*/
result=0.0;
for (i=0; i < (ssize_t) number_parameters; i++)
result=result*QuantumScale*pixel + parameters[i];
result*=QuantumRange;
break;
}
case SinusoidFunction:
{
/* Sinusoid Function
* Parameters: Freq, Phase, Ampl, bias
*/
double freq,phase,ampl,bias;
freq = ( number_parameters >= 1 ) ? parameters[0] : 1.0;
phase = ( number_parameters >= 2 ) ? parameters[1] : 0.0;
ampl = ( number_parameters >= 3 ) ? parameters[2] : 0.5;
bias = ( number_parameters >= 4 ) ? parameters[3] : 0.5;
result=(MagickRealType) (QuantumRange*(ampl*sin((double) (2.0*MagickPI*
(freq*QuantumScale*pixel + phase/360.0) )) + bias ) );
break;
}
case ArcsinFunction:
{
/* Arcsin Function (peged at range limits for invalid results)
* Parameters: Width, Center, Range, Bias
*/
double width,range,center,bias;
width = ( number_parameters >= 1 ) ? parameters[0] : 1.0;
center = ( number_parameters >= 2 ) ? parameters[1] : 0.5;
range = ( number_parameters >= 3 ) ? parameters[2] : 1.0;
bias = ( number_parameters >= 4 ) ? parameters[3] : 0.5;
result = 2.0/width*(QuantumScale*pixel - center);
if ( result <= -1.0 )
result = bias - range/2.0;
else if ( result >= 1.0 )
result = bias + range/2.0;
else
result=(MagickRealType) (range/MagickPI*asin((double) result)+bias);
result *= QuantumRange;
break;
}
case ArctanFunction:
{
/* Arctan Function
* Parameters: Slope, Center, Range, Bias
*/
double slope,range,center,bias;
slope = ( number_parameters >= 1 ) ? parameters[0] : 1.0;
center = ( number_parameters >= 2 ) ? parameters[1] : 0.5;
range = ( number_parameters >= 3 ) ? parameters[2] : 1.0;
bias = ( number_parameters >= 4 ) ? parameters[3] : 0.5;
result=(MagickRealType) (MagickPI*slope*(QuantumScale*pixel-center));
result=(MagickRealType) (QuantumRange*(range/MagickPI*atan((double)
result) + bias ) );
break;
}
case UndefinedFunction:
break;
}
return(ClampToQuantum(result));
}
MagickExport MagickBooleanType FunctionImage(Image *image,
const MagickFunction function,const size_t number_parameters,
const double *parameters,ExceptionInfo *exception)
{
MagickBooleanType
status;
status=FunctionImageChannel(image,CompositeChannels,function,
number_parameters,parameters,exception);
return(status);
}
MagickExport MagickBooleanType FunctionImageChannel(Image *image,
const ChannelType channel,const MagickFunction function,
const size_t number_parameters,const double *parameters,
ExceptionInfo *exception)
{
#define FunctionImageTag "Function/Image "
CacheView
*image_view;
MagickBooleanType
status;
MagickOffsetType
progress;
ssize_t
y;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickCoreSignature);
if (SetImageStorageClass(image,DirectClass) == MagickFalse)
{
InheritException(exception,&image->exception);
return(MagickFalse);
}
#if defined(MAGICKCORE_OPENCL_SUPPORT)
status=AccelerateFunctionImage(image,channel,function,number_parameters,
parameters,exception);
if (status != MagickFalse)
return(status);
#endif
status=MagickTrue;
progress=0;
image_view=AcquireAuthenticCacheView(image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(progress,status) \
magick_number_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
register IndexPacket
*magick_restrict indexes;
register ssize_t
x;
register PixelPacket
*magick_restrict q;
if (status == MagickFalse)
continue;
q=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,exception);
if (q == (PixelPacket *) NULL)
{
status=MagickFalse;
continue;
}
indexes=GetCacheViewAuthenticIndexQueue(image_view);
for (x=0; x < (ssize_t) image->columns; x++)
{
if ((channel & RedChannel) != 0)
SetPixelRed(q,ApplyFunction(GetPixelRed(q),function,
number_parameters,parameters,exception));
if ((channel & GreenChannel) != 0)
SetPixelGreen(q,ApplyFunction(GetPixelGreen(q),function,
number_parameters,parameters,exception));
if ((channel & BlueChannel) != 0)
SetPixelBlue(q,ApplyFunction(GetPixelBlue(q),function,
number_parameters,parameters,exception));
if ((channel & OpacityChannel) != 0)
{
if (image->matte == MagickFalse)
SetPixelOpacity(q,ApplyFunction(GetPixelOpacity(q),function,
number_parameters,parameters,exception));
else
SetPixelAlpha(q,ApplyFunction((Quantum) GetPixelAlpha(q),function,
number_parameters,parameters,exception));
}
if (((channel & IndexChannel) != 0) && (indexes != (IndexPacket *) NULL))
SetPixelIndex(indexes+x,ApplyFunction(GetPixelIndex(indexes+x),function,
number_parameters,parameters,exception));
q++;
}
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
proceed=SetImageProgress(image,FunctionImageTag,progress++,image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
image_view=DestroyCacheView(image_view);
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G e t I m a g e C h a n n e l E n t r o p y %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetImageChannelEntropy() returns the entropy of one or more image channels.
%
% The format of the GetImageChannelEntropy method is:
%
% MagickBooleanType GetImageChannelEntropy(const Image *image,
% const ChannelType channel,double *entropy,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o channel: the channel.
%
% o entropy: the average entropy of the selected channels.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport MagickBooleanType GetImageEntropy(const Image *image,
double *entropy,ExceptionInfo *exception)
{
MagickBooleanType
status;
status=GetImageChannelEntropy(image,CompositeChannels,entropy,exception);
return(status);
}
MagickExport MagickBooleanType GetImageChannelEntropy(const Image *image,
const ChannelType channel,double *entropy,ExceptionInfo *exception)
{
ChannelStatistics
*channel_statistics;
size_t
channels;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
channel_statistics=GetImageChannelStatistics(image,exception);
if (channel_statistics == (ChannelStatistics *) NULL)
return(MagickFalse);
channels=0;
channel_statistics[CompositeChannels].entropy=0.0;
if ((channel & RedChannel) != 0)
{
channel_statistics[CompositeChannels].entropy+=
channel_statistics[RedChannel].entropy;
channels++;
}
if ((channel & GreenChannel) != 0)
{
channel_statistics[CompositeChannels].entropy+=
channel_statistics[GreenChannel].entropy;
channels++;
}
if ((channel & BlueChannel) != 0)
{
channel_statistics[CompositeChannels].entropy+=
channel_statistics[BlueChannel].entropy;
channels++;
}
if (((channel & OpacityChannel) != 0) && (image->matte != MagickFalse))
{
channel_statistics[CompositeChannels].entropy+=
channel_statistics[OpacityChannel].entropy;
channels++;
}
if (((channel & IndexChannel) != 0) &&
(image->colorspace == CMYKColorspace))
{
channel_statistics[CompositeChannels].entropy+=
channel_statistics[BlackChannel].entropy;
channels++;
}
channel_statistics[CompositeChannels].entropy/=channels;
*entropy=channel_statistics[CompositeChannels].entropy;
channel_statistics=(ChannelStatistics *) RelinquishMagickMemory(
channel_statistics);
return(MagickTrue);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ G e t I m a g e C h a n n e l E x t r e m a %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetImageChannelExtrema() returns the extrema of one or more image channels.
%
% The format of the GetImageChannelExtrema method is:
%
% MagickBooleanType GetImageChannelExtrema(const Image *image,
% const ChannelType channel,size_t *minima,size_t *maxima,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o channel: the channel.
%
% o minima: the minimum value in the channel.
%
% o maxima: the maximum value in the channel.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport MagickBooleanType GetImageExtrema(const Image *image,
size_t *minima,size_t *maxima,ExceptionInfo *exception)
{
MagickBooleanType
status;
status=GetImageChannelExtrema(image,CompositeChannels,minima,maxima,
exception);
return(status);
}
MagickExport MagickBooleanType GetImageChannelExtrema(const Image *image,
const ChannelType channel,size_t *minima,size_t *maxima,
ExceptionInfo *exception)
{
double
max,
min;
MagickBooleanType
status;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
status=GetImageChannelRange(image,channel,&min,&max,exception);
*minima=(size_t) ceil(min-0.5);
*maxima=(size_t) floor(max+0.5);
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G e t I m a g e C h a n n e l K u r t o s i s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetImageChannelKurtosis() returns the kurtosis and skewness of one or more
% image channels.
%
% The format of the GetImageChannelKurtosis method is:
%
% MagickBooleanType GetImageChannelKurtosis(const Image *image,
% const ChannelType channel,double *kurtosis,double *skewness,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o channel: the channel.
%
% o kurtosis: the kurtosis of the channel.
%
% o skewness: the skewness of the channel.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport MagickBooleanType GetImageKurtosis(const Image *image,
double *kurtosis,double *skewness,ExceptionInfo *exception)
{
MagickBooleanType
status;
status=GetImageChannelKurtosis(image,CompositeChannels,kurtosis,skewness,
exception);
return(status);
}
MagickExport MagickBooleanType GetImageChannelKurtosis(const Image *image,
const ChannelType channel,double *kurtosis,double *skewness,
ExceptionInfo *exception)
{
double
area,
mean,
standard_deviation,
sum_squares,
sum_cubes,
sum_fourth_power;
ssize_t
y;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
*kurtosis=0.0;
*skewness=0.0;
area=0.0;
mean=0.0;
standard_deviation=0.0;
sum_squares=0.0;
sum_cubes=0.0;
sum_fourth_power=0.0;
for (y=0; y < (ssize_t) image->rows; y++)
{
register const IndexPacket
*magick_restrict indexes;
register const PixelPacket
*magick_restrict p;
register ssize_t
x;
p=GetVirtualPixels(image,0,y,image->columns,1,exception);
if (p == (const PixelPacket *) NULL)
break;
indexes=GetVirtualIndexQueue(image);
for (x=0; x < (ssize_t) image->columns; x++)
{
if ((channel & RedChannel) != 0)
{
mean+=GetPixelRed(p);
sum_squares+=(double) GetPixelRed(p)*GetPixelRed(p);
sum_cubes+=(double) GetPixelRed(p)*GetPixelRed(p)*GetPixelRed(p);
sum_fourth_power+=(double) GetPixelRed(p)*GetPixelRed(p)*
GetPixelRed(p)*GetPixelRed(p);
area++;
}
if ((channel & GreenChannel) != 0)
{
mean+=GetPixelGreen(p);
sum_squares+=(double) GetPixelGreen(p)*GetPixelGreen(p);
sum_cubes+=(double) GetPixelGreen(p)*GetPixelGreen(p)*
GetPixelGreen(p);
sum_fourth_power+=(double) GetPixelGreen(p)*GetPixelGreen(p)*
GetPixelGreen(p)*GetPixelGreen(p);
area++;
}
if ((channel & BlueChannel) != 0)
{
mean+=GetPixelBlue(p);
sum_squares+=(double) GetPixelBlue(p)*GetPixelBlue(p);
sum_cubes+=(double) GetPixelBlue(p)*GetPixelBlue(p)*GetPixelBlue(p);
sum_fourth_power+=(double) GetPixelBlue(p)*GetPixelBlue(p)*
GetPixelBlue(p)*GetPixelBlue(p);
area++;
}
if ((channel & OpacityChannel) != 0)
{
mean+=GetPixelAlpha(p);
sum_squares+=(double) GetPixelOpacity(p)*GetPixelAlpha(p);
sum_cubes+=(double) GetPixelOpacity(p)*GetPixelAlpha(p)*
GetPixelAlpha(p);
sum_fourth_power+=(double) GetPixelAlpha(p)*GetPixelAlpha(p)*
GetPixelAlpha(p)*GetPixelAlpha(p);
area++;
}
if (((channel & IndexChannel) != 0) &&
(image->colorspace == CMYKColorspace))
{
double
index;
index=(double) GetPixelIndex(indexes+x);
mean+=index;
sum_squares+=index*index;
sum_cubes+=index*index*index;
sum_fourth_power+=index*index*index*index;
area++;
}
p++;
}
}
if (y < (ssize_t) image->rows)
return(MagickFalse);
if (area != 0.0)
{
mean/=area;
sum_squares/=area;
sum_cubes/=area;
sum_fourth_power/=area;
}
standard_deviation=sqrt(sum_squares-(mean*mean));
if (standard_deviation != 0.0)
{
*kurtosis=sum_fourth_power-4.0*mean*sum_cubes+6.0*mean*mean*sum_squares-
3.0*mean*mean*mean*mean;
*kurtosis/=standard_deviation*standard_deviation*standard_deviation*
standard_deviation;
*kurtosis-=3.0;
*skewness=sum_cubes-3.0*mean*sum_squares+2.0*mean*mean*mean;
*skewness/=standard_deviation*standard_deviation*standard_deviation;
}
return(y == (ssize_t) image->rows ? MagickTrue : MagickFalse);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G e t I m a g e C h a n n e l M e a n %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetImageChannelMean() returns the mean and standard deviation of one or more
% image channels.
%
% The format of the GetImageChannelMean method is:
%
% MagickBooleanType GetImageChannelMean(const Image *image,
% const ChannelType channel,double *mean,double *standard_deviation,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o channel: the channel.
%
% o mean: the average value in the channel.
%
% o standard_deviation: the standard deviation of the channel.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport MagickBooleanType GetImageMean(const Image *image,double *mean,
double *standard_deviation,ExceptionInfo *exception)
{
MagickBooleanType
status;
status=GetImageChannelMean(image,CompositeChannels,mean,standard_deviation,
exception);
return(status);
}
MagickExport MagickBooleanType GetImageChannelMean(const Image *image,
const ChannelType channel,double *mean,double *standard_deviation,
ExceptionInfo *exception)
{
ChannelStatistics
*channel_statistics;
size_t
channels;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
channel_statistics=GetImageChannelStatistics(image,exception);
if (channel_statistics == (ChannelStatistics *) NULL)
return(MagickFalse);
channels=0;
channel_statistics[CompositeChannels].mean=0.0;
channel_statistics[CompositeChannels].standard_deviation=0.0;
if ((channel & RedChannel) != 0)
{
channel_statistics[CompositeChannels].mean+=
channel_statistics[RedChannel].mean;
channel_statistics[CompositeChannels].standard_deviation+=
channel_statistics[RedChannel].standard_deviation;
channels++;
}
if ((channel & GreenChannel) != 0)
{
channel_statistics[CompositeChannels].mean+=
channel_statistics[GreenChannel].mean;
channel_statistics[CompositeChannels].standard_deviation+=
channel_statistics[GreenChannel].standard_deviation;
channels++;
}
if ((channel & BlueChannel) != 0)
{
channel_statistics[CompositeChannels].mean+=
channel_statistics[BlueChannel].mean;
channel_statistics[CompositeChannels].standard_deviation+=
channel_statistics[BlueChannel].standard_deviation;
channels++;
}
if (((channel & OpacityChannel) != 0) && (image->matte != MagickFalse))
{
channel_statistics[CompositeChannels].mean+=
(QuantumRange-channel_statistics[OpacityChannel].mean);
channel_statistics[CompositeChannels].standard_deviation+=
channel_statistics[OpacityChannel].standard_deviation;
channels++;
}
if (((channel & IndexChannel) != 0) && (image->colorspace == CMYKColorspace))
{
channel_statistics[CompositeChannels].mean+=
channel_statistics[BlackChannel].mean;
channel_statistics[CompositeChannels].standard_deviation+=
channel_statistics[CompositeChannels].standard_deviation;
channels++;
}
channel_statistics[CompositeChannels].mean/=channels;
channel_statistics[CompositeChannels].standard_deviation/=channels;
*mean=channel_statistics[CompositeChannels].mean;
*standard_deviation=channel_statistics[CompositeChannels].standard_deviation;
channel_statistics=(ChannelStatistics *) RelinquishMagickMemory(
channel_statistics);
return(MagickTrue);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G e t I m a g e C h a n n e l M o m e n t s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetImageChannelMoments() returns the normalized moments of one or more image
% channels.
%
% The format of the GetImageChannelMoments method is:
%
% ChannelMoments *GetImageChannelMoments(const Image *image,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport ChannelMoments *GetImageChannelMoments(const Image *image,
ExceptionInfo *exception)
{
#define MaxNumberImageMoments 8
ChannelMoments
*channel_moments;
double
M00[CompositeChannels+1],
M01[CompositeChannels+1],
M02[CompositeChannels+1],
M03[CompositeChannels+1],
M10[CompositeChannels+1],
M11[CompositeChannels+1],
M12[CompositeChannels+1],
M20[CompositeChannels+1],
M21[CompositeChannels+1],
M22[CompositeChannels+1],
M30[CompositeChannels+1];
MagickPixelPacket
pixel;
PointInfo
centroid[CompositeChannels+1];
ssize_t
channel,
channels,
y;
size_t
length;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
length=CompositeChannels+1UL;
channel_moments=(ChannelMoments *) AcquireQuantumMemory(length,
sizeof(*channel_moments));
if (channel_moments == (ChannelMoments *) NULL)
return(channel_moments);
(void) memset(channel_moments,0,length*sizeof(*channel_moments));
(void) memset(centroid,0,sizeof(centroid));
(void) memset(M00,0,sizeof(M00));
(void) memset(M01,0,sizeof(M01));
(void) memset(M02,0,sizeof(M02));
(void) memset(M03,0,sizeof(M03));
(void) memset(M10,0,sizeof(M10));
(void) memset(M11,0,sizeof(M11));
(void) memset(M12,0,sizeof(M12));
(void) memset(M20,0,sizeof(M20));
(void) memset(M21,0,sizeof(M21));
(void) memset(M22,0,sizeof(M22));
(void) memset(M30,0,sizeof(M30));
GetMagickPixelPacket(image,&pixel);
for (y=0; y < (ssize_t) image->rows; y++)
{
register const IndexPacket
*magick_restrict indexes;
register const PixelPacket
*magick_restrict p;
register ssize_t
x;
/*
Compute center of mass (centroid).
*/
p=GetVirtualPixels(image,0,y,image->columns,1,exception);
if (p == (const PixelPacket *) NULL)
break;
indexes=GetVirtualIndexQueue(image);
for (x=0; x < (ssize_t) image->columns; x++)
{
SetMagickPixelPacket(image,p,indexes+x,&pixel);
M00[RedChannel]+=QuantumScale*pixel.red;
M10[RedChannel]+=x*QuantumScale*pixel.red;
M01[RedChannel]+=y*QuantumScale*pixel.red;
M00[GreenChannel]+=QuantumScale*pixel.green;
M10[GreenChannel]+=x*QuantumScale*pixel.green;
M01[GreenChannel]+=y*QuantumScale*pixel.green;
M00[BlueChannel]+=QuantumScale*pixel.blue;
M10[BlueChannel]+=x*QuantumScale*pixel.blue;
M01[BlueChannel]+=y*QuantumScale*pixel.blue;
if (image->matte != MagickFalse)
{
M00[OpacityChannel]+=QuantumScale*pixel.opacity;
M10[OpacityChannel]+=x*QuantumScale*pixel.opacity;
M01[OpacityChannel]+=y*QuantumScale*pixel.opacity;
}
if (image->colorspace == CMYKColorspace)
{
M00[IndexChannel]+=QuantumScale*pixel.index;
M10[IndexChannel]+=x*QuantumScale*pixel.index;
M01[IndexChannel]+=y*QuantumScale*pixel.index;
}
p++;
}
}
for (channel=0; channel <= CompositeChannels; channel++)
{
/*
Compute center of mass (centroid).
*/
if (M00[channel] < MagickEpsilon)
{
M00[channel]+=MagickEpsilon;
centroid[channel].x=(double) image->columns/2.0;
centroid[channel].y=(double) image->rows/2.0;
continue;
}
M00[channel]+=MagickEpsilon;
centroid[channel].x=M10[channel]/M00[channel];
centroid[channel].y=M01[channel]/M00[channel];
}
for (y=0; y < (ssize_t) image->rows; y++)
{
register const IndexPacket
*magick_restrict indexes;
register const PixelPacket
*magick_restrict p;
register ssize_t
x;
/*
Compute the image moments.
*/
p=GetVirtualPixels(image,0,y,image->columns,1,exception);
if (p == (const PixelPacket *) NULL)
break;
indexes=GetVirtualIndexQueue(image);
for (x=0; x < (ssize_t) image->columns; x++)
{
SetMagickPixelPacket(image,p,indexes+x,&pixel);
M11[RedChannel]+=(x-centroid[RedChannel].x)*(y-
centroid[RedChannel].y)*QuantumScale*pixel.red;
M20[RedChannel]+=(x-centroid[RedChannel].x)*(x-
centroid[RedChannel].x)*QuantumScale*pixel.red;
M02[RedChannel]+=(y-centroid[RedChannel].y)*(y-
centroid[RedChannel].y)*QuantumScale*pixel.red;
M21[RedChannel]+=(x-centroid[RedChannel].x)*(x-
centroid[RedChannel].x)*(y-centroid[RedChannel].y)*QuantumScale*
pixel.red;
M12[RedChannel]+=(x-centroid[RedChannel].x)*(y-
centroid[RedChannel].y)*(y-centroid[RedChannel].y)*QuantumScale*
pixel.red;
M22[RedChannel]+=(x-centroid[RedChannel].x)*(x-
centroid[RedChannel].x)*(y-centroid[RedChannel].y)*(y-
centroid[RedChannel].y)*QuantumScale*pixel.red;
M30[RedChannel]+=(x-centroid[RedChannel].x)*(x-
centroid[RedChannel].x)*(x-centroid[RedChannel].x)*QuantumScale*
pixel.red;
M03[RedChannel]+=(y-centroid[RedChannel].y)*(y-
centroid[RedChannel].y)*(y-centroid[RedChannel].y)*QuantumScale*
pixel.red;
M11[GreenChannel]+=(x-centroid[GreenChannel].x)*(y-
centroid[GreenChannel].y)*QuantumScale*pixel.green;
M20[GreenChannel]+=(x-centroid[GreenChannel].x)*(x-
centroid[GreenChannel].x)*QuantumScale*pixel.green;
M02[GreenChannel]+=(y-centroid[GreenChannel].y)*(y-
centroid[GreenChannel].y)*QuantumScale*pixel.green;
M21[GreenChannel]+=(x-centroid[GreenChannel].x)*(x-
centroid[GreenChannel].x)*(y-centroid[GreenChannel].y)*QuantumScale*
pixel.green;
M12[GreenChannel]+=(x-centroid[GreenChannel].x)*(y-
centroid[GreenChannel].y)*(y-centroid[GreenChannel].y)*QuantumScale*
pixel.green;
M22[GreenChannel]+=(x-centroid[GreenChannel].x)*(x-
centroid[GreenChannel].x)*(y-centroid[GreenChannel].y)*(y-
centroid[GreenChannel].y)*QuantumScale*pixel.green;
M30[GreenChannel]+=(x-centroid[GreenChannel].x)*(x-
centroid[GreenChannel].x)*(x-centroid[GreenChannel].x)*QuantumScale*
pixel.green;
M03[GreenChannel]+=(y-centroid[GreenChannel].y)*(y-
centroid[GreenChannel].y)*(y-centroid[GreenChannel].y)*QuantumScale*
pixel.green;
M11[BlueChannel]+=(x-centroid[BlueChannel].x)*(y-
centroid[BlueChannel].y)*QuantumScale*pixel.blue;
M20[BlueChannel]+=(x-centroid[BlueChannel].x)*(x-
centroid[BlueChannel].x)*QuantumScale*pixel.blue;
M02[BlueChannel]+=(y-centroid[BlueChannel].y)*(y-
centroid[BlueChannel].y)*QuantumScale*pixel.blue;
M21[BlueChannel]+=(x-centroid[BlueChannel].x)*(x-
centroid[BlueChannel].x)*(y-centroid[BlueChannel].y)*QuantumScale*
pixel.blue;
M12[BlueChannel]+=(x-centroid[BlueChannel].x)*(y-
centroid[BlueChannel].y)*(y-centroid[BlueChannel].y)*QuantumScale*
pixel.blue;
M22[BlueChannel]+=(x-centroid[BlueChannel].x)*(x-
centroid[BlueChannel].x)*(y-centroid[BlueChannel].y)*(y-
centroid[BlueChannel].y)*QuantumScale*pixel.blue;
M30[BlueChannel]+=(x-centroid[BlueChannel].x)*(x-
centroid[BlueChannel].x)*(x-centroid[BlueChannel].x)*QuantumScale*
pixel.blue;
M03[BlueChannel]+=(y-centroid[BlueChannel].y)*(y-
centroid[BlueChannel].y)*(y-centroid[BlueChannel].y)*QuantumScale*
pixel.blue;
if (image->matte != MagickFalse)
{
M11[OpacityChannel]+=(x-centroid[OpacityChannel].x)*(y-
centroid[OpacityChannel].y)*QuantumScale*pixel.opacity;
M20[OpacityChannel]+=(x-centroid[OpacityChannel].x)*(x-
centroid[OpacityChannel].x)*QuantumScale*pixel.opacity;
M02[OpacityChannel]+=(y-centroid[OpacityChannel].y)*(y-
centroid[OpacityChannel].y)*QuantumScale*pixel.opacity;
M21[OpacityChannel]+=(x-centroid[OpacityChannel].x)*(x-
centroid[OpacityChannel].x)*(y-centroid[OpacityChannel].y)*
QuantumScale*pixel.opacity;
M12[OpacityChannel]+=(x-centroid[OpacityChannel].x)*(y-
centroid[OpacityChannel].y)*(y-centroid[OpacityChannel].y)*
QuantumScale*pixel.opacity;
M22[OpacityChannel]+=(x-centroid[OpacityChannel].x)*(x-
centroid[OpacityChannel].x)*(y-centroid[OpacityChannel].y)*(y-
centroid[OpacityChannel].y)*QuantumScale*pixel.opacity;
M30[OpacityChannel]+=(x-centroid[OpacityChannel].x)*(x-
centroid[OpacityChannel].x)*(x-centroid[OpacityChannel].x)*
QuantumScale*pixel.opacity;
M03[OpacityChannel]+=(y-centroid[OpacityChannel].y)*(y-
centroid[OpacityChannel].y)*(y-centroid[OpacityChannel].y)*
QuantumScale*pixel.opacity;
}
if (image->colorspace == CMYKColorspace)
{
M11[IndexChannel]+=(x-centroid[IndexChannel].x)*(y-
centroid[IndexChannel].y)*QuantumScale*pixel.index;
M20[IndexChannel]+=(x-centroid[IndexChannel].x)*(x-
centroid[IndexChannel].x)*QuantumScale*pixel.index;
M02[IndexChannel]+=(y-centroid[IndexChannel].y)*(y-
centroid[IndexChannel].y)*QuantumScale*pixel.index;
M21[IndexChannel]+=(x-centroid[IndexChannel].x)*(x-
centroid[IndexChannel].x)*(y-centroid[IndexChannel].y)*
QuantumScale*pixel.index;
M12[IndexChannel]+=(x-centroid[IndexChannel].x)*(y-
centroid[IndexChannel].y)*(y-centroid[IndexChannel].y)*
QuantumScale*pixel.index;
M22[IndexChannel]+=(x-centroid[IndexChannel].x)*(x-
centroid[IndexChannel].x)*(y-centroid[IndexChannel].y)*(y-
centroid[IndexChannel].y)*QuantumScale*pixel.index;
M30[IndexChannel]+=(x-centroid[IndexChannel].x)*(x-
centroid[IndexChannel].x)*(x-centroid[IndexChannel].x)*
QuantumScale*pixel.index;
M03[IndexChannel]+=(y-centroid[IndexChannel].y)*(y-
centroid[IndexChannel].y)*(y-centroid[IndexChannel].y)*
QuantumScale*pixel.index;
}
p++;
}
}
channels=3;
M00[CompositeChannels]+=(M00[RedChannel]+M00[GreenChannel]+M00[BlueChannel]);
M01[CompositeChannels]+=(M01[RedChannel]+M01[GreenChannel]+M01[BlueChannel]);
M02[CompositeChannels]+=(M02[RedChannel]+M02[GreenChannel]+M02[BlueChannel]);
M03[CompositeChannels]+=(M03[RedChannel]+M03[GreenChannel]+M03[BlueChannel]);
M10[CompositeChannels]+=(M10[RedChannel]+M10[GreenChannel]+M10[BlueChannel]);
M11[CompositeChannels]+=(M11[RedChannel]+M11[GreenChannel]+M11[BlueChannel]);
M12[CompositeChannels]+=(M12[RedChannel]+M12[GreenChannel]+M12[BlueChannel]);
M20[CompositeChannels]+=(M20[RedChannel]+M20[GreenChannel]+M20[BlueChannel]);
M21[CompositeChannels]+=(M21[RedChannel]+M21[GreenChannel]+M21[BlueChannel]);
M22[CompositeChannels]+=(M22[RedChannel]+M22[GreenChannel]+M22[BlueChannel]);
M30[CompositeChannels]+=(M30[RedChannel]+M30[GreenChannel]+M30[BlueChannel]);
if (image->matte != MagickFalse)
{
channels+=1;
M00[CompositeChannels]+=M00[OpacityChannel];
M01[CompositeChannels]+=M01[OpacityChannel];
M02[CompositeChannels]+=M02[OpacityChannel];
M03[CompositeChannels]+=M03[OpacityChannel];
M10[CompositeChannels]+=M10[OpacityChannel];
M11[CompositeChannels]+=M11[OpacityChannel];
M12[CompositeChannels]+=M12[OpacityChannel];
M20[CompositeChannels]+=M20[OpacityChannel];
M21[CompositeChannels]+=M21[OpacityChannel];
M22[CompositeChannels]+=M22[OpacityChannel];
M30[CompositeChannels]+=M30[OpacityChannel];
}
if (image->colorspace == CMYKColorspace)
{
channels+=1;
M00[CompositeChannels]+=M00[IndexChannel];
M01[CompositeChannels]+=M01[IndexChannel];
M02[CompositeChannels]+=M02[IndexChannel];
M03[CompositeChannels]+=M03[IndexChannel];
M10[CompositeChannels]+=M10[IndexChannel];
M11[CompositeChannels]+=M11[IndexChannel];
M12[CompositeChannels]+=M12[IndexChannel];
M20[CompositeChannels]+=M20[IndexChannel];
M21[CompositeChannels]+=M21[IndexChannel];
M22[CompositeChannels]+=M22[IndexChannel];
M30[CompositeChannels]+=M30[IndexChannel];
}
M00[CompositeChannels]/=(double) channels;
M01[CompositeChannels]/=(double) channels;
M02[CompositeChannels]/=(double) channels;
M03[CompositeChannels]/=(double) channels;
M10[CompositeChannels]/=(double) channels;
M11[CompositeChannels]/=(double) channels;
M12[CompositeChannels]/=(double) channels;
M20[CompositeChannels]/=(double) channels;
M21[CompositeChannels]/=(double) channels;
M22[CompositeChannels]/=(double) channels;
M30[CompositeChannels]/=(double) channels;
for (channel=0; channel <= CompositeChannels; channel++)
{
/*
Compute elliptical angle, major and minor axes, eccentricity, & intensity.
*/
channel_moments[channel].centroid=centroid[channel];
channel_moments[channel].ellipse_axis.x=sqrt((2.0/M00[channel])*
((M20[channel]+M02[channel])+sqrt(4.0*M11[channel]*M11[channel]+
(M20[channel]-M02[channel])*(M20[channel]-M02[channel]))));
channel_moments[channel].ellipse_axis.y=sqrt((2.0/M00[channel])*
((M20[channel]+M02[channel])-sqrt(4.0*M11[channel]*M11[channel]+
(M20[channel]-M02[channel])*(M20[channel]-M02[channel]))));
channel_moments[channel].ellipse_angle=RadiansToDegrees(0.5*atan(2.0*
M11[channel]/(M20[channel]-M02[channel]+MagickEpsilon)));
if (fabs(M11[channel]) < MagickEpsilon)
{
if (fabs(M20[channel]-M02[channel]) < MagickEpsilon)
channel_moments[channel].ellipse_angle+=0.0;
else
if ((M20[channel]-M02[channel]) < 0.0)
channel_moments[channel].ellipse_angle+=90.0;
else
channel_moments[channel].ellipse_angle+=0.0;
}
else
if (M11[channel] < 0.0)
{
if (fabs(M20[channel]-M02[channel]) < MagickEpsilon)
channel_moments[channel].ellipse_angle+=0.0;
else
if ((M20[channel]-M02[channel]) < 0.0)
channel_moments[channel].ellipse_angle+=90.0;
else
channel_moments[channel].ellipse_angle+=180.0;
}
else
{
if (fabs(M20[channel]-M02[channel]) < MagickEpsilon)
channel_moments[channel].ellipse_angle+=0.0;
else
if ((M20[channel]-M02[channel]) < 0.0)
channel_moments[channel].ellipse_angle+=90.0;
else
channel_moments[channel].ellipse_angle+=0.0;
}
channel_moments[channel].ellipse_eccentricity=sqrt(1.0-(
channel_moments[channel].ellipse_axis.y/
(channel_moments[channel].ellipse_axis.x+MagickEpsilon)));
channel_moments[channel].ellipse_intensity=M00[channel]/
(MagickPI*channel_moments[channel].ellipse_axis.x*
channel_moments[channel].ellipse_axis.y+MagickEpsilon);
}
for (channel=0; channel <= CompositeChannels; channel++)
{
/*
Normalize image moments.
*/
M10[channel]=0.0;
M01[channel]=0.0;
M11[channel]/=pow(M00[channel],1.0+(1.0+1.0)/2.0);
M20[channel]/=pow(M00[channel],1.0+(2.0+0.0)/2.0);
M02[channel]/=pow(M00[channel],1.0+(0.0+2.0)/2.0);
M21[channel]/=pow(M00[channel],1.0+(2.0+1.0)/2.0);
M12[channel]/=pow(M00[channel],1.0+(1.0+2.0)/2.0);
M22[channel]/=pow(M00[channel],1.0+(2.0+2.0)/2.0);
M30[channel]/=pow(M00[channel],1.0+(3.0+0.0)/2.0);
M03[channel]/=pow(M00[channel],1.0+(0.0+3.0)/2.0);
M00[channel]=1.0;
}
for (channel=0; channel <= CompositeChannels; channel++)
{
/*
Compute Hu invariant moments.
*/
channel_moments[channel].I[0]=M20[channel]+M02[channel];
channel_moments[channel].I[1]=(M20[channel]-M02[channel])*
(M20[channel]-M02[channel])+4.0*M11[channel]*M11[channel];
channel_moments[channel].I[2]=(M30[channel]-3.0*M12[channel])*
(M30[channel]-3.0*M12[channel])+(3.0*M21[channel]-M03[channel])*
(3.0*M21[channel]-M03[channel]);
channel_moments[channel].I[3]=(M30[channel]+M12[channel])*
(M30[channel]+M12[channel])+(M21[channel]+M03[channel])*
(M21[channel]+M03[channel]);
channel_moments[channel].I[4]=(M30[channel]-3.0*M12[channel])*
(M30[channel]+M12[channel])*((M30[channel]+M12[channel])*
(M30[channel]+M12[channel])-3.0*(M21[channel]+M03[channel])*
(M21[channel]+M03[channel]))+(3.0*M21[channel]-M03[channel])*
(M21[channel]+M03[channel])*(3.0*(M30[channel]+M12[channel])*
(M30[channel]+M12[channel])-(M21[channel]+M03[channel])*
(M21[channel]+M03[channel]));
channel_moments[channel].I[5]=(M20[channel]-M02[channel])*
((M30[channel]+M12[channel])*(M30[channel]+M12[channel])-
(M21[channel]+M03[channel])*(M21[channel]+M03[channel]))+
4.0*M11[channel]*(M30[channel]+M12[channel])*(M21[channel]+M03[channel]);
channel_moments[channel].I[6]=(3.0*M21[channel]-M03[channel])*
(M30[channel]+M12[channel])*((M30[channel]+M12[channel])*
(M30[channel]+M12[channel])-3.0*(M21[channel]+M03[channel])*
(M21[channel]+M03[channel]))-(M30[channel]-3*M12[channel])*
(M21[channel]+M03[channel])*(3.0*(M30[channel]+M12[channel])*
(M30[channel]+M12[channel])-(M21[channel]+M03[channel])*
(M21[channel]+M03[channel]));
channel_moments[channel].I[7]=M11[channel]*((M30[channel]+M12[channel])*
(M30[channel]+M12[channel])-(M03[channel]+M21[channel])*
(M03[channel]+M21[channel]))-(M20[channel]-M02[channel])*
(M30[channel]+M12[channel])*(M03[channel]+M21[channel]);
}
if (y < (ssize_t) image->rows)
channel_moments=(ChannelMoments *) RelinquishMagickMemory(channel_moments);
return(channel_moments);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G e t I m a g e C h a n n e l P e r c e p t u a l H a s h %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetImageChannelPerceptualHash() returns the perceptual hash of one or more
% image channels.
%
% The format of the GetImageChannelPerceptualHash method is:
%
% ChannelPerceptualHash *GetImageChannelPerceptualHash(const Image *image,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o exception: return any errors or warnings in this structure.
%
*/
static inline double MagickLog10(const double x)
{
#define Log10Epsilon (1.0e-11)
if (fabs(x) < Log10Epsilon)
return(log10(Log10Epsilon));
return(log10(fabs(x)));
}
MagickExport ChannelPerceptualHash *GetImageChannelPerceptualHash(
const Image *image,ExceptionInfo *exception)
{
ChannelMoments
*moments;
ChannelPerceptualHash
*perceptual_hash;
Image
*hash_image;
MagickBooleanType
status;
register ssize_t
i;
ssize_t
channel;
/*
Blur then transform to sRGB colorspace.
*/
hash_image=BlurImage(image,0.0,1.0,exception);
if (hash_image == (Image *) NULL)
return((ChannelPerceptualHash *) NULL);
hash_image->depth=8;
status=TransformImageColorspace(hash_image,sRGBColorspace);
if (status == MagickFalse)
return((ChannelPerceptualHash *) NULL);
moments=GetImageChannelMoments(hash_image,exception);
hash_image=DestroyImage(hash_image);
if (moments == (ChannelMoments *) NULL)
return((ChannelPerceptualHash *) NULL);
perceptual_hash=(ChannelPerceptualHash *) AcquireQuantumMemory(
CompositeChannels+1UL,sizeof(*perceptual_hash));
if (perceptual_hash == (ChannelPerceptualHash *) NULL)
return((ChannelPerceptualHash *) NULL);
for (channel=0; channel <= CompositeChannels; channel++)
for (i=0; i < MaximumNumberOfImageMoments; i++)
perceptual_hash[channel].P[i]=(-MagickLog10(moments[channel].I[i]));
moments=(ChannelMoments *) RelinquishMagickMemory(moments);
/*
Blur then transform to HCLp colorspace.
*/
hash_image=BlurImage(image,0.0,1.0,exception);
if (hash_image == (Image *) NULL)
{
perceptual_hash=(ChannelPerceptualHash *) RelinquishMagickMemory(
perceptual_hash);
return((ChannelPerceptualHash *) NULL);
}
hash_image->depth=8;
status=TransformImageColorspace(hash_image,HCLpColorspace);
if (status == MagickFalse)
{
perceptual_hash=(ChannelPerceptualHash *) RelinquishMagickMemory(
perceptual_hash);
return((ChannelPerceptualHash *) NULL);
}
moments=GetImageChannelMoments(hash_image,exception);
hash_image=DestroyImage(hash_image);
if (moments == (ChannelMoments *) NULL)
{
perceptual_hash=(ChannelPerceptualHash *) RelinquishMagickMemory(
perceptual_hash);
return((ChannelPerceptualHash *) NULL);
}
for (channel=0; channel <= CompositeChannels; channel++)
for (i=0; i < MaximumNumberOfImageMoments; i++)
perceptual_hash[channel].Q[i]=(-MagickLog10(moments[channel].I[i]));
moments=(ChannelMoments *) RelinquishMagickMemory(moments);
return(perceptual_hash);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G e t I m a g e C h a n n e l R a n g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetImageChannelRange() returns the range of one or more image channels.
%
% The format of the GetImageChannelRange method is:
%
% MagickBooleanType GetImageChannelRange(const Image *image,
% const ChannelType channel,double *minima,double *maxima,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o channel: the channel.
%
% o minima: the minimum value in the channel.
%
% o maxima: the maximum value in the channel.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport MagickBooleanType GetImageRange(const Image *image,
double *minima,double *maxima,ExceptionInfo *exception)
{
return(GetImageChannelRange(image,CompositeChannels,minima,maxima,exception));
}
MagickExport MagickBooleanType GetImageChannelRange(const Image *image,
const ChannelType channel,double *minima,double *maxima,
ExceptionInfo *exception)
{
MagickPixelPacket
pixel;
ssize_t
y;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
*maxima=(-MagickMaximumValue);
*minima=MagickMaximumValue;
GetMagickPixelPacket(image,&pixel);
for (y=0; y < (ssize_t) image->rows; y++)
{
register const IndexPacket
*magick_restrict indexes;
register const PixelPacket
*magick_restrict p;
register ssize_t
x;
p=GetVirtualPixels(image,0,y,image->columns,1,exception);
if (p == (const PixelPacket *) NULL)
break;
indexes=GetVirtualIndexQueue(image);
for (x=0; x < (ssize_t) image->columns; x++)
{
SetMagickPixelPacket(image,p,indexes+x,&pixel);
if ((channel & RedChannel) != 0)
{
if (pixel.red < *minima)
*minima=(double) pixel.red;
if (pixel.red > *maxima)
*maxima=(double) pixel.red;
}
if ((channel & GreenChannel) != 0)
{
if (pixel.green < *minima)
*minima=(double) pixel.green;
if (pixel.green > *maxima)
*maxima=(double) pixel.green;
}
if ((channel & BlueChannel) != 0)
{
if (pixel.blue < *minima)
*minima=(double) pixel.blue;
if (pixel.blue > *maxima)
*maxima=(double) pixel.blue;
}
if (((channel & OpacityChannel) != 0) && (image->matte != MagickFalse))
{
if ((QuantumRange-pixel.opacity) < *minima)
*minima=(double) (QuantumRange-pixel.opacity);
if ((QuantumRange-pixel.opacity) > *maxima)
*maxima=(double) (QuantumRange-pixel.opacity);
}
if (((channel & IndexChannel) != 0) &&
(image->colorspace == CMYKColorspace))
{
if ((double) pixel.index < *minima)
*minima=(double) pixel.index;
if ((double) pixel.index > *maxima)
*maxima=(double) pixel.index;
}
p++;
}
}
return(y == (ssize_t) image->rows ? MagickTrue : MagickFalse);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G e t I m a g e C h a n n e l S t a t i s t i c s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetImageChannelStatistics() returns statistics for each channel in the
% image. The statistics include the channel depth, its minima, maxima, mean,
% standard deviation, kurtosis and skewness. You can access the red channel
% mean, for example, like this:
%
% channel_statistics=GetImageChannelStatistics(image,exception);
% red_mean=channel_statistics[RedChannel].mean;
%
% Use MagickRelinquishMemory() to free the statistics buffer.
%
% The format of the GetImageChannelStatistics method is:
%
% ChannelStatistics *GetImageChannelStatistics(const Image *image,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport ChannelStatistics *GetImageChannelStatistics(const Image *image,
ExceptionInfo *exception)
{
ChannelStatistics
*channel_statistics;
double
area,
standard_deviation;
MagickPixelPacket
number_bins,
*histogram;
QuantumAny
range;
register ssize_t
i;
size_t
channels,
depth,
length;
ssize_t
y;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
length=CompositeChannels+1UL;
channel_statistics=(ChannelStatistics *) AcquireQuantumMemory(length,
sizeof(*channel_statistics));
histogram=(MagickPixelPacket *) AcquireQuantumMemory(MaxMap+1U,
sizeof(*histogram));
if ((channel_statistics == (ChannelStatistics *) NULL) ||
(histogram == (MagickPixelPacket *) NULL))
{
if (histogram != (MagickPixelPacket *) NULL)
histogram=(MagickPixelPacket *) RelinquishMagickMemory(histogram);
if (channel_statistics != (ChannelStatistics *) NULL)
channel_statistics=(ChannelStatistics *) RelinquishMagickMemory(
channel_statistics);
return(channel_statistics);
}
(void) memset(channel_statistics,0,length*
sizeof(*channel_statistics));
for (i=0; i <= (ssize_t) CompositeChannels; i++)
{
channel_statistics[i].depth=1;
channel_statistics[i].maxima=(-MagickMaximumValue);
channel_statistics[i].minima=MagickMaximumValue;
}
(void) memset(histogram,0,(MaxMap+1U)*sizeof(*histogram));
(void) memset(&number_bins,0,sizeof(number_bins));
for (y=0; y < (ssize_t) image->rows; y++)
{
register const IndexPacket
*magick_restrict indexes;
register const PixelPacket
*magick_restrict p;
register ssize_t
x;
/*
Compute pixel statistics.
*/
p=GetVirtualPixels(image,0,y,image->columns,1,exception);
if (p == (const PixelPacket *) NULL)
break;
indexes=GetVirtualIndexQueue(image);
for (x=0; x < (ssize_t) image->columns; )
{
if (channel_statistics[RedChannel].depth != MAGICKCORE_QUANTUM_DEPTH)
{
depth=channel_statistics[RedChannel].depth;
range=GetQuantumRange(depth);
if (IsPixelAtDepth(GetPixelRed(p),range) == MagickFalse)
{
channel_statistics[RedChannel].depth++;
continue;
}
}
if (channel_statistics[GreenChannel].depth != MAGICKCORE_QUANTUM_DEPTH)
{
depth=channel_statistics[GreenChannel].depth;
range=GetQuantumRange(depth);
if (IsPixelAtDepth(GetPixelGreen(p),range) == MagickFalse)
{
channel_statistics[GreenChannel].depth++;
continue;
}
}
if (channel_statistics[BlueChannel].depth != MAGICKCORE_QUANTUM_DEPTH)
{
depth=channel_statistics[BlueChannel].depth;
range=GetQuantumRange(depth);
if (IsPixelAtDepth(GetPixelBlue(p),range) == MagickFalse)
{
channel_statistics[BlueChannel].depth++;
continue;
}
}
if (image->matte != MagickFalse)
{
if (channel_statistics[OpacityChannel].depth != MAGICKCORE_QUANTUM_DEPTH)
{
depth=channel_statistics[OpacityChannel].depth;
range=GetQuantumRange(depth);
if (IsPixelAtDepth(GetPixelAlpha(p),range) == MagickFalse)
{
channel_statistics[OpacityChannel].depth++;
continue;
}
}
}
if (image->colorspace == CMYKColorspace)
{
if (channel_statistics[BlackChannel].depth != MAGICKCORE_QUANTUM_DEPTH)
{
depth=channel_statistics[BlackChannel].depth;
range=GetQuantumRange(depth);
if (IsPixelAtDepth(GetPixelIndex(indexes+x),range) == MagickFalse)
{
channel_statistics[BlackChannel].depth++;
continue;
}
}
}
if ((double) GetPixelRed(p) < channel_statistics[RedChannel].minima)
channel_statistics[RedChannel].minima=(double) GetPixelRed(p);
if ((double) GetPixelRed(p) > channel_statistics[RedChannel].maxima)
channel_statistics[RedChannel].maxima=(double) GetPixelRed(p);
channel_statistics[RedChannel].sum+=GetPixelRed(p);
channel_statistics[RedChannel].sum_squared+=(double) GetPixelRed(p)*
GetPixelRed(p);
channel_statistics[RedChannel].sum_cubed+=(double)
GetPixelRed(p)*GetPixelRed(p)*GetPixelRed(p);
channel_statistics[RedChannel].sum_fourth_power+=(double)
GetPixelRed(p)*GetPixelRed(p)*GetPixelRed(p)*GetPixelRed(p);
if ((double) GetPixelGreen(p) < channel_statistics[GreenChannel].minima)
channel_statistics[GreenChannel].minima=(double) GetPixelGreen(p);
if ((double) GetPixelGreen(p) > channel_statistics[GreenChannel].maxima)
channel_statistics[GreenChannel].maxima=(double) GetPixelGreen(p);
channel_statistics[GreenChannel].sum+=GetPixelGreen(p);
channel_statistics[GreenChannel].sum_squared+=(double) GetPixelGreen(p)*
GetPixelGreen(p);
channel_statistics[GreenChannel].sum_cubed+=(double) GetPixelGreen(p)*
GetPixelGreen(p)*GetPixelGreen(p);
channel_statistics[GreenChannel].sum_fourth_power+=(double)
GetPixelGreen(p)*GetPixelGreen(p)*GetPixelGreen(p)*GetPixelGreen(p);
if ((double) GetPixelBlue(p) < channel_statistics[BlueChannel].minima)
channel_statistics[BlueChannel].minima=(double) GetPixelBlue(p);
if ((double) GetPixelBlue(p) > channel_statistics[BlueChannel].maxima)
channel_statistics[BlueChannel].maxima=(double) GetPixelBlue(p);
channel_statistics[BlueChannel].sum+=GetPixelBlue(p);
channel_statistics[BlueChannel].sum_squared+=(double) GetPixelBlue(p)*
GetPixelBlue(p);
channel_statistics[BlueChannel].sum_cubed+=(double) GetPixelBlue(p)*
GetPixelBlue(p)*GetPixelBlue(p);
channel_statistics[BlueChannel].sum_fourth_power+=(double)
GetPixelBlue(p)*GetPixelBlue(p)*GetPixelBlue(p)*GetPixelBlue(p);
histogram[ScaleQuantumToMap(GetPixelRed(p))].red++;
histogram[ScaleQuantumToMap(GetPixelGreen(p))].green++;
histogram[ScaleQuantumToMap(GetPixelBlue(p))].blue++;
if (image->matte != MagickFalse)
{
if ((double) GetPixelAlpha(p) < channel_statistics[OpacityChannel].minima)
channel_statistics[OpacityChannel].minima=(double) GetPixelAlpha(p);
if ((double) GetPixelAlpha(p) > channel_statistics[OpacityChannel].maxima)
channel_statistics[OpacityChannel].maxima=(double) GetPixelAlpha(p);
channel_statistics[OpacityChannel].sum+=GetPixelAlpha(p);
channel_statistics[OpacityChannel].sum_squared+=(double)
GetPixelAlpha(p)*GetPixelAlpha(p);
channel_statistics[OpacityChannel].sum_cubed+=(double)
GetPixelAlpha(p)*GetPixelAlpha(p)*GetPixelAlpha(p);
channel_statistics[OpacityChannel].sum_fourth_power+=(double)
GetPixelAlpha(p)*GetPixelAlpha(p)*GetPixelAlpha(p)*GetPixelAlpha(p);
histogram[ScaleQuantumToMap(GetPixelAlpha(p))].opacity++;
}
if (image->colorspace == CMYKColorspace)
{
if ((double) GetPixelIndex(indexes+x) < channel_statistics[BlackChannel].minima)
channel_statistics[BlackChannel].minima=(double)
GetPixelIndex(indexes+x);
if ((double) GetPixelIndex(indexes+x) > channel_statistics[BlackChannel].maxima)
channel_statistics[BlackChannel].maxima=(double)
GetPixelIndex(indexes+x);
channel_statistics[BlackChannel].sum+=GetPixelIndex(indexes+x);
channel_statistics[BlackChannel].sum_squared+=(double)
GetPixelIndex(indexes+x)*GetPixelIndex(indexes+x);
channel_statistics[BlackChannel].sum_cubed+=(double)
GetPixelIndex(indexes+x)*GetPixelIndex(indexes+x)*
GetPixelIndex(indexes+x);
channel_statistics[BlackChannel].sum_fourth_power+=(double)
GetPixelIndex(indexes+x)*GetPixelIndex(indexes+x)*
GetPixelIndex(indexes+x)*GetPixelIndex(indexes+x);
histogram[ScaleQuantumToMap(GetPixelIndex(indexes+x))].index++;
}
x++;
p++;
}
}
for (i=0; i < (ssize_t) CompositeChannels; i++)
{
double
area,
mean,
standard_deviation;
/*
Normalize pixel statistics.
*/
area=PerceptibleReciprocal((double) image->columns*image->rows);
mean=channel_statistics[i].sum*area;
channel_statistics[i].sum=mean;
channel_statistics[i].sum_squared*=area;
channel_statistics[i].sum_cubed*=area;
channel_statistics[i].sum_fourth_power*=area;
channel_statistics[i].mean=mean;
channel_statistics[i].variance=channel_statistics[i].sum_squared;
standard_deviation=sqrt(channel_statistics[i].variance-(mean*mean));
area=PerceptibleReciprocal((double) image->columns*image->rows-1.0)*
((double) image->columns*image->rows);
standard_deviation=sqrt(area*standard_deviation*standard_deviation);
channel_statistics[i].standard_deviation=standard_deviation;
}
for (i=0; i < (ssize_t) (MaxMap+1U); i++)
{
if (histogram[i].red > 0.0)
number_bins.red++;
if (histogram[i].green > 0.0)
number_bins.green++;
if (histogram[i].blue > 0.0)
number_bins.blue++;
if ((image->matte != MagickFalse) && (histogram[i].opacity > 0.0))
number_bins.opacity++;
if ((image->colorspace == CMYKColorspace) && (histogram[i].index > 0.0))
number_bins.index++;
}
area=PerceptibleReciprocal((double) image->columns*image->rows);
for (i=0; i < (ssize_t) (MaxMap+1U); i++)
{
/*
Compute pixel entropy.
*/
histogram[i].red*=area;
channel_statistics[RedChannel].entropy+=-histogram[i].red*
MagickLog10(histogram[i].red)*
PerceptibleReciprocal(MagickLog10((double) number_bins.red));
histogram[i].green*=area;
channel_statistics[GreenChannel].entropy+=-histogram[i].green*
MagickLog10(histogram[i].green)*
PerceptibleReciprocal(MagickLog10((double) number_bins.green));
histogram[i].blue*=area;
channel_statistics[BlueChannel].entropy+=-histogram[i].blue*
MagickLog10(histogram[i].blue)*
PerceptibleReciprocal(MagickLog10((double) number_bins.blue));
if (image->matte != MagickFalse)
{
histogram[i].opacity*=area;
channel_statistics[OpacityChannel].entropy+=-histogram[i].opacity*
MagickLog10(histogram[i].opacity)*
PerceptibleReciprocal(MagickLog10((double) number_bins.opacity));
}
if (image->colorspace == CMYKColorspace)
{
histogram[i].index*=area;
channel_statistics[IndexChannel].entropy+=-histogram[i].index*
MagickLog10(histogram[i].index)*
PerceptibleReciprocal(MagickLog10((double) number_bins.index));
}
}
/*
Compute overall statistics.
*/
for (i=0; i < (ssize_t) CompositeChannels; i++)
{
channel_statistics[CompositeChannels].depth=(size_t) EvaluateMax((double)
channel_statistics[CompositeChannels].depth,(double)
channel_statistics[i].depth);
channel_statistics[CompositeChannels].minima=MagickMin(
channel_statistics[CompositeChannels].minima,
channel_statistics[i].minima);
channel_statistics[CompositeChannels].maxima=EvaluateMax(
channel_statistics[CompositeChannels].maxima,
channel_statistics[i].maxima);
channel_statistics[CompositeChannels].sum+=channel_statistics[i].sum;
channel_statistics[CompositeChannels].sum_squared+=
channel_statistics[i].sum_squared;
channel_statistics[CompositeChannels].sum_cubed+=
channel_statistics[i].sum_cubed;
channel_statistics[CompositeChannels].sum_fourth_power+=
channel_statistics[i].sum_fourth_power;
channel_statistics[CompositeChannels].mean+=channel_statistics[i].mean;
channel_statistics[CompositeChannels].variance+=
channel_statistics[i].variance-channel_statistics[i].mean*
channel_statistics[i].mean;
standard_deviation=sqrt(channel_statistics[i].variance-
(channel_statistics[i].mean*channel_statistics[i].mean));
area=PerceptibleReciprocal((double) image->columns*image->rows-1.0)*
((double) image->columns*image->rows);
standard_deviation=sqrt(area*standard_deviation*standard_deviation);
channel_statistics[CompositeChannels].standard_deviation=standard_deviation;
channel_statistics[CompositeChannels].entropy+=
channel_statistics[i].entropy;
}
channels=3;
if (image->matte != MagickFalse)
channels++;
if (image->colorspace == CMYKColorspace)
channels++;
channel_statistics[CompositeChannels].sum/=channels;
channel_statistics[CompositeChannels].sum_squared/=channels;
channel_statistics[CompositeChannels].sum_cubed/=channels;
channel_statistics[CompositeChannels].sum_fourth_power/=channels;
channel_statistics[CompositeChannels].mean/=channels;
channel_statistics[CompositeChannels].kurtosis/=channels;
channel_statistics[CompositeChannels].skewness/=channels;
channel_statistics[CompositeChannels].entropy/=channels;
i=CompositeChannels;
area=PerceptibleReciprocal((double) channels*image->columns*image->rows);
channel_statistics[i].variance=channel_statistics[i].sum_squared;
channel_statistics[i].mean=channel_statistics[i].sum;
standard_deviation=sqrt(channel_statistics[i].variance-
(channel_statistics[i].mean*channel_statistics[i].mean));
standard_deviation=sqrt(PerceptibleReciprocal((double) channels*
image->columns*image->rows-1.0)*channels*image->columns*image->rows*
standard_deviation*standard_deviation);
channel_statistics[i].standard_deviation=standard_deviation;
for (i=0; i <= (ssize_t) CompositeChannels; i++)
{
/*
Compute kurtosis & skewness statistics.
*/
standard_deviation=PerceptibleReciprocal(
channel_statistics[i].standard_deviation);
channel_statistics[i].skewness=(channel_statistics[i].sum_cubed-3.0*
channel_statistics[i].mean*channel_statistics[i].sum_squared+2.0*
channel_statistics[i].mean*channel_statistics[i].mean*
channel_statistics[i].mean)*(standard_deviation*standard_deviation*
standard_deviation);
channel_statistics[i].kurtosis=(channel_statistics[i].sum_fourth_power-4.0*
channel_statistics[i].mean*channel_statistics[i].sum_cubed+6.0*
channel_statistics[i].mean*channel_statistics[i].mean*
channel_statistics[i].sum_squared-3.0*channel_statistics[i].mean*
channel_statistics[i].mean*1.0*channel_statistics[i].mean*
channel_statistics[i].mean)*(standard_deviation*standard_deviation*
standard_deviation*standard_deviation)-3.0;
}
channel_statistics[CompositeChannels].mean=0.0;
channel_statistics[CompositeChannels].standard_deviation=0.0;
for (i=0; i < (ssize_t) CompositeChannels; i++)
{
channel_statistics[CompositeChannels].mean+=
channel_statistics[i].mean;
channel_statistics[CompositeChannels].standard_deviation+=
channel_statistics[i].standard_deviation;
}
channel_statistics[CompositeChannels].mean/=(double) channels;
channel_statistics[CompositeChannels].standard_deviation/=(double) channels;
histogram=(MagickPixelPacket *) RelinquishMagickMemory(histogram);
if (y < (ssize_t) image->rows)
channel_statistics=(ChannelStatistics *) RelinquishMagickMemory(
channel_statistics);
return(channel_statistics);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% P o l y n o m i a l I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% PolynomialImage() returns a new image where each pixel is the sum of the
% pixels in the image sequence after applying its corresponding terms
% (coefficient and degree pairs).
%
% The format of the PolynomialImage method is:
%
% Image *PolynomialImage(const Image *images,const size_t number_terms,
% const double *terms,ExceptionInfo *exception)
% Image *PolynomialImageChannel(const Image *images,
% const size_t number_terms,const ChannelType channel,
% const double *terms,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o images: the image sequence.
%
% o channel: the channel.
%
% o number_terms: the number of terms in the list. The actual list length
% is 2 x number_terms + 1 (the constant).
%
% o terms: the list of polynomial coefficients and degree pairs and a
% constant.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *PolynomialImage(const Image *images,
const size_t number_terms,const double *terms,ExceptionInfo *exception)
{
Image
*polynomial_image;
polynomial_image=PolynomialImageChannel(images,DefaultChannels,number_terms,
terms,exception);
return(polynomial_image);
}
MagickExport Image *PolynomialImageChannel(const Image *images,
const ChannelType channel,const size_t number_terms,const double *terms,
ExceptionInfo *exception)
{
#define PolynomialImageTag "Polynomial/Image"
CacheView
*polynomial_view;
Image
*image;
MagickBooleanType
status;
MagickOffsetType
progress;
MagickPixelPacket
**magick_restrict polynomial_pixels,
zero;
ssize_t
y;
assert(images != (Image *) NULL);
assert(images->signature == MagickCoreSignature);
if (images->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",images->filename);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickCoreSignature);
image=AcquireImageCanvas(images,exception);
if (image == (Image *) NULL)
return((Image *) NULL);
if (SetImageStorageClass(image,DirectClass) == MagickFalse)
{
InheritException(exception,&image->exception);
image=DestroyImage(image);
return((Image *) NULL);
}
polynomial_pixels=AcquirePixelThreadSet(images);
if (polynomial_pixels == (MagickPixelPacket **) NULL)
{
image=DestroyImage(image);
(void) ThrowMagickException(exception,GetMagickModule(),
ResourceLimitError,"MemoryAllocationFailed","`%s'",images->filename);
return((Image *) NULL);
}
/*
Polynomial image pixels.
*/
status=MagickTrue;
progress=0;
GetMagickPixelPacket(images,&zero);
polynomial_view=AcquireAuthenticCacheView(image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(progress,status) \
magick_number_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
CacheView
*image_view;
const Image
*next;
const int
id = GetOpenMPThreadId();
register IndexPacket
*magick_restrict polynomial_indexes;
register MagickPixelPacket
*polynomial_pixel;
register PixelPacket
*magick_restrict q;
register ssize_t
i,
x;
size_t
number_images;
if (status == MagickFalse)
continue;
q=QueueCacheViewAuthenticPixels(polynomial_view,0,y,image->columns,1,
exception);
if (q == (PixelPacket *) NULL)
{
status=MagickFalse;
continue;
}
polynomial_indexes=GetCacheViewAuthenticIndexQueue(polynomial_view);
polynomial_pixel=polynomial_pixels[id];
for (x=0; x < (ssize_t) image->columns; x++)
polynomial_pixel[x]=zero;
next=images;
number_images=GetImageListLength(images);
for (i=0; i < (ssize_t) number_images; i++)
{
register const IndexPacket
*indexes;
register const PixelPacket
*p;
if (i >= (ssize_t) number_terms)
break;
image_view=AcquireVirtualCacheView(next,exception);
p=GetCacheViewVirtualPixels(image_view,0,y,image->columns,1,exception);
if (p == (const PixelPacket *) NULL)
{
image_view=DestroyCacheView(image_view);
break;
}
indexes=GetCacheViewVirtualIndexQueue(image_view);
for (x=0; x < (ssize_t) image->columns; x++)
{
double
coefficient,
degree;
coefficient=terms[i << 1];
degree=terms[(i << 1)+1];
if ((channel & RedChannel) != 0)
polynomial_pixel[x].red+=coefficient*pow(QuantumScale*p->red,degree);
if ((channel & GreenChannel) != 0)
polynomial_pixel[x].green+=coefficient*pow(QuantumScale*p->green,
degree);
if ((channel & BlueChannel) != 0)
polynomial_pixel[x].blue+=coefficient*pow(QuantumScale*p->blue,
degree);
if ((channel & OpacityChannel) != 0)
polynomial_pixel[x].opacity+=coefficient*pow(QuantumScale*
(QuantumRange-p->opacity),degree);
if (((channel & IndexChannel) != 0) &&
(image->colorspace == CMYKColorspace))
polynomial_pixel[x].index+=coefficient*pow(QuantumScale*indexes[x],
degree);
p++;
}
image_view=DestroyCacheView(image_view);
next=GetNextImageInList(next);
}
for (x=0; x < (ssize_t) image->columns; x++)
{
SetPixelRed(q,ClampToQuantum(QuantumRange*polynomial_pixel[x].red));
SetPixelGreen(q,ClampToQuantum(QuantumRange*polynomial_pixel[x].green));
SetPixelBlue(q,ClampToQuantum(QuantumRange*polynomial_pixel[x].blue));
if (image->matte == MagickFalse)
SetPixelOpacity(q,ClampToQuantum(QuantumRange-QuantumRange*
polynomial_pixel[x].opacity));
else
SetPixelAlpha(q,ClampToQuantum(QuantumRange-QuantumRange*
polynomial_pixel[x].opacity));
if (image->colorspace == CMYKColorspace)
SetPixelIndex(polynomial_indexes+x,ClampToQuantum(QuantumRange*
polynomial_pixel[x].index));
q++;
}
if (SyncCacheViewAuthenticPixels(polynomial_view,exception) == MagickFalse)
status=MagickFalse;
if (images->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
proceed=SetImageProgress(images,PolynomialImageTag,progress++,
image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
polynomial_view=DestroyCacheView(polynomial_view);
polynomial_pixels=DestroyPixelThreadSet(images,polynomial_pixels);
if (status == MagickFalse)
image=DestroyImage(image);
return(image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S t a t i s t i c I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% StatisticImage() makes each pixel the min / max / median / mode / etc. of
% the neighborhood of the specified width and height.
%
% The format of the StatisticImage method is:
%
% Image *StatisticImage(const Image *image,const StatisticType type,
% const size_t width,const size_t height,ExceptionInfo *exception)
% Image *StatisticImageChannel(const Image *image,
% const ChannelType channel,const StatisticType type,
% const size_t width,const size_t height,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o channel: the image channel.
%
% o type: the statistic type (median, mode, etc.).
%
% o width: the width of the pixel neighborhood.
%
% o height: the height of the pixel neighborhood.
%
% o exception: return any errors or warnings in this structure.
%
*/
#define ListChannels 5
typedef struct _ListNode
{
size_t
next[9],
count,
signature;
} ListNode;
typedef struct _SkipList
{
ssize_t
level;
ListNode
*nodes;
} SkipList;
typedef struct _PixelList
{
size_t
length,
seed,
signature;
SkipList
lists[ListChannels];
} PixelList;
static PixelList *DestroyPixelList(PixelList *pixel_list)
{
register ssize_t
i;
if (pixel_list == (PixelList *) NULL)
return((PixelList *) NULL);
for (i=0; i < ListChannels; i++)
if (pixel_list->lists[i].nodes != (ListNode *) NULL)
pixel_list->lists[i].nodes=(ListNode *) RelinquishAlignedMemory(
pixel_list->lists[i].nodes);
pixel_list=(PixelList *) RelinquishMagickMemory(pixel_list);
return(pixel_list);
}
static PixelList **DestroyPixelListThreadSet(PixelList **pixel_list)
{
register ssize_t
i;
assert(pixel_list != (PixelList **) NULL);
for (i=0; i < (ssize_t) GetMagickResourceLimit(ThreadResource); i++)
if (pixel_list[i] != (PixelList *) NULL)
pixel_list[i]=DestroyPixelList(pixel_list[i]);
pixel_list=(PixelList **) RelinquishMagickMemory(pixel_list);
return(pixel_list);
}
static PixelList *AcquirePixelList(const size_t width,const size_t height)
{
PixelList
*pixel_list;
register ssize_t
i;
pixel_list=(PixelList *) AcquireMagickMemory(sizeof(*pixel_list));
if (pixel_list == (PixelList *) NULL)
return(pixel_list);
(void) memset((void *) pixel_list,0,sizeof(*pixel_list));
pixel_list->length=width*height;
for (i=0; i < ListChannels; i++)
{
pixel_list->lists[i].nodes=(ListNode *) AcquireAlignedMemory(65537UL,
sizeof(*pixel_list->lists[i].nodes));
if (pixel_list->lists[i].nodes == (ListNode *) NULL)
return(DestroyPixelList(pixel_list));
(void) memset(pixel_list->lists[i].nodes,0,65537UL*
sizeof(*pixel_list->lists[i].nodes));
}
pixel_list->signature=MagickCoreSignature;
return(pixel_list);
}
static PixelList **AcquirePixelListThreadSet(const size_t width,
const size_t height)
{
PixelList
**pixel_list;
register ssize_t
i;
size_t
number_threads;
number_threads=(size_t) GetMagickResourceLimit(ThreadResource);
pixel_list=(PixelList **) AcquireQuantumMemory(number_threads,
sizeof(*pixel_list));
if (pixel_list == (PixelList **) NULL)
return((PixelList **) NULL);
(void) memset(pixel_list,0,number_threads*sizeof(*pixel_list));
for (i=0; i < (ssize_t) number_threads; i++)
{
pixel_list[i]=AcquirePixelList(width,height);
if (pixel_list[i] == (PixelList *) NULL)
return(DestroyPixelListThreadSet(pixel_list));
}
return(pixel_list);
}
static void AddNodePixelList(PixelList *pixel_list,const ssize_t channel,
const size_t color)
{
register SkipList
*list;
register ssize_t
level;
size_t
search,
update[9];
/*
Initialize the node.
*/
list=pixel_list->lists+channel;
list->nodes[color].signature=pixel_list->signature;
list->nodes[color].count=1;
/*
Determine where it belongs in the list.
*/
search=65536UL;
for (level=list->level; level >= 0; level--)
{
while (list->nodes[search].next[level] < color)
search=list->nodes[search].next[level];
update[level]=search;
}
/*
Generate a pseudo-random level for this node.
*/
for (level=0; ; level++)
{
pixel_list->seed=(pixel_list->seed*42893621L)+1L;
if ((pixel_list->seed & 0x300) != 0x300)
break;
}
if (level > 8)
level=8;
if (level > (list->level+2))
level=list->level+2;
/*
If we're raising the list's level, link back to the root node.
*/
while (level > list->level)
{
list->level++;
update[list->level]=65536UL;
}
/*
Link the node into the skip-list.
*/
do
{
list->nodes[color].next[level]=list->nodes[update[level]].next[level];
list->nodes[update[level]].next[level]=color;
} while (level-- > 0);
}
static void GetMaximumPixelList(PixelList *pixel_list,MagickPixelPacket *pixel)
{
register SkipList
*list;
register ssize_t
channel;
size_t
color,
maximum;
ssize_t
count;
unsigned short
channels[ListChannels];
/*
Find the maximum value for each of the color.
*/
for (channel=0; channel < 5; channel++)
{
list=pixel_list->lists+channel;
color=65536L;
count=0;
maximum=list->nodes[color].next[0];
do
{
color=list->nodes[color].next[0];
if (color > maximum)
maximum=color;
count+=list->nodes[color].count;
} while (count < (ssize_t) pixel_list->length);
channels[channel]=(unsigned short) maximum;
}
pixel->red=(MagickRealType) ScaleShortToQuantum(channels[0]);
pixel->green=(MagickRealType) ScaleShortToQuantum(channels[1]);
pixel->blue=(MagickRealType) ScaleShortToQuantum(channels[2]);
pixel->opacity=(MagickRealType) ScaleShortToQuantum(channels[3]);
pixel->index=(MagickRealType) ScaleShortToQuantum(channels[4]);
}
static void GetMeanPixelList(PixelList *pixel_list,MagickPixelPacket *pixel)
{
MagickRealType
sum;
register SkipList
*list;
register ssize_t
channel;
size_t
color;
ssize_t
count;
unsigned short
channels[ListChannels];
/*
Find the mean value for each of the color.
*/
for (channel=0; channel < 5; channel++)
{
list=pixel_list->lists+channel;
color=65536L;
count=0;
sum=0.0;
do
{
color=list->nodes[color].next[0];
sum+=(MagickRealType) list->nodes[color].count*color;
count+=list->nodes[color].count;
} while (count < (ssize_t) pixel_list->length);
sum/=pixel_list->length;
channels[channel]=(unsigned short) sum;
}
pixel->red=(MagickRealType) ScaleShortToQuantum(channels[0]);
pixel->green=(MagickRealType) ScaleShortToQuantum(channels[1]);
pixel->blue=(MagickRealType) ScaleShortToQuantum(channels[2]);
pixel->opacity=(MagickRealType) ScaleShortToQuantum(channels[3]);
pixel->index=(MagickRealType) ScaleShortToQuantum(channels[4]);
}
static void GetMedianPixelList(PixelList *pixel_list,MagickPixelPacket *pixel)
{
register SkipList
*list;
register ssize_t
channel;
size_t
color;
ssize_t
count;
unsigned short
channels[ListChannels];
/*
Find the median value for each of the color.
*/
for (channel=0; channel < 5; channel++)
{
list=pixel_list->lists+channel;
color=65536L;
count=0;
do
{
color=list->nodes[color].next[0];
count+=list->nodes[color].count;
} while (count <= (ssize_t) (pixel_list->length >> 1));
channels[channel]=(unsigned short) color;
}
GetMagickPixelPacket((const Image *) NULL,pixel);
pixel->red=(MagickRealType) ScaleShortToQuantum(channels[0]);
pixel->green=(MagickRealType) ScaleShortToQuantum(channels[1]);
pixel->blue=(MagickRealType) ScaleShortToQuantum(channels[2]);
pixel->opacity=(MagickRealType) ScaleShortToQuantum(channels[3]);
pixel->index=(MagickRealType) ScaleShortToQuantum(channels[4]);
}
static void GetMinimumPixelList(PixelList *pixel_list,MagickPixelPacket *pixel)
{
register SkipList
*list;
register ssize_t
channel;
size_t
color,
minimum;
ssize_t
count;
unsigned short
channels[ListChannels];
/*
Find the minimum value for each of the color.
*/
for (channel=0; channel < 5; channel++)
{
list=pixel_list->lists+channel;
count=0;
color=65536UL;
minimum=list->nodes[color].next[0];
do
{
color=list->nodes[color].next[0];
if (color < minimum)
minimum=color;
count+=list->nodes[color].count;
} while (count < (ssize_t) pixel_list->length);
channels[channel]=(unsigned short) minimum;
}
pixel->red=(MagickRealType) ScaleShortToQuantum(channels[0]);
pixel->green=(MagickRealType) ScaleShortToQuantum(channels[1]);
pixel->blue=(MagickRealType) ScaleShortToQuantum(channels[2]);
pixel->opacity=(MagickRealType) ScaleShortToQuantum(channels[3]);
pixel->index=(MagickRealType) ScaleShortToQuantum(channels[4]);
}
static void GetModePixelList(PixelList *pixel_list,MagickPixelPacket *pixel)
{
register SkipList
*list;
register ssize_t
channel;
size_t
color,
max_count,
mode;
ssize_t
count;
unsigned short
channels[5];
/*
Make each pixel the 'predominant color' of the specified neighborhood.
*/
for (channel=0; channel < 5; channel++)
{
list=pixel_list->lists+channel;
color=65536L;
mode=color;
max_count=list->nodes[mode].count;
count=0;
do
{
color=list->nodes[color].next[0];
if (list->nodes[color].count > max_count)
{
mode=color;
max_count=list->nodes[mode].count;
}
count+=list->nodes[color].count;
} while (count < (ssize_t) pixel_list->length);
channels[channel]=(unsigned short) mode;
}
pixel->red=(MagickRealType) ScaleShortToQuantum(channels[0]);
pixel->green=(MagickRealType) ScaleShortToQuantum(channels[1]);
pixel->blue=(MagickRealType) ScaleShortToQuantum(channels[2]);
pixel->opacity=(MagickRealType) ScaleShortToQuantum(channels[3]);
pixel->index=(MagickRealType) ScaleShortToQuantum(channels[4]);
}
static void GetNonpeakPixelList(PixelList *pixel_list,MagickPixelPacket *pixel)
{
register SkipList
*list;
register ssize_t
channel;
size_t
color,
next,
previous;
ssize_t
count;
unsigned short
channels[5];
/*
Finds the non peak value for each of the colors.
*/
for (channel=0; channel < 5; channel++)
{
list=pixel_list->lists+channel;
color=65536L;
next=list->nodes[color].next[0];
count=0;
do
{
previous=color;
color=next;
next=list->nodes[color].next[0];
count+=list->nodes[color].count;
} while (count <= (ssize_t) (pixel_list->length >> 1));
if ((previous == 65536UL) && (next != 65536UL))
color=next;
else
if ((previous != 65536UL) && (next == 65536UL))
color=previous;
channels[channel]=(unsigned short) color;
}
pixel->red=(MagickRealType) ScaleShortToQuantum(channels[0]);
pixel->green=(MagickRealType) ScaleShortToQuantum(channels[1]);
pixel->blue=(MagickRealType) ScaleShortToQuantum(channels[2]);
pixel->opacity=(MagickRealType) ScaleShortToQuantum(channels[3]);
pixel->index=(MagickRealType) ScaleShortToQuantum(channels[4]);
}
static void GetRootMeanSquarePixelList(PixelList *pixel_list,
MagickPixelPacket *pixel)
{
MagickRealType
sum;
register SkipList
*list;
register ssize_t
channel;
size_t
color;
ssize_t
count;
unsigned short
channels[ListChannels];
/*
Find the root mean square value for each of the color.
*/
for (channel=0; channel < 5; channel++)
{
list=pixel_list->lists+channel;
color=65536L;
count=0;
sum=0.0;
do
{
color=list->nodes[color].next[0];
sum+=(MagickRealType) (list->nodes[color].count*color*color);
count+=list->nodes[color].count;
} while (count < (ssize_t) pixel_list->length);
sum/=pixel_list->length;
channels[channel]=(unsigned short) sqrt(sum);
}
pixel->red=(MagickRealType) ScaleShortToQuantum(channels[0]);
pixel->green=(MagickRealType) ScaleShortToQuantum(channels[1]);
pixel->blue=(MagickRealType) ScaleShortToQuantum(channels[2]);
pixel->opacity=(MagickRealType) ScaleShortToQuantum(channels[3]);
pixel->index=(MagickRealType) ScaleShortToQuantum(channels[4]);
}
static void GetStandardDeviationPixelList(PixelList *pixel_list,
MagickPixelPacket *pixel)
{
MagickRealType
sum,
sum_squared;
register SkipList
*list;
register ssize_t
channel;
size_t
color;
ssize_t
count;
unsigned short
channels[ListChannels];
/*
Find the standard-deviation value for each of the color.
*/
for (channel=0; channel < 5; channel++)
{
list=pixel_list->lists+channel;
color=65536L;
count=0;
sum=0.0;
sum_squared=0.0;
do
{
register ssize_t
i;
color=list->nodes[color].next[0];
sum+=(MagickRealType) list->nodes[color].count*color;
for (i=0; i < (ssize_t) list->nodes[color].count; i++)
sum_squared+=((MagickRealType) color)*((MagickRealType) color);
count+=list->nodes[color].count;
} while (count < (ssize_t) pixel_list->length);
sum/=pixel_list->length;
sum_squared/=pixel_list->length;
channels[channel]=(unsigned short) sqrt(sum_squared-(sum*sum));
}
pixel->red=(MagickRealType) ScaleShortToQuantum(channels[0]);
pixel->green=(MagickRealType) ScaleShortToQuantum(channels[1]);
pixel->blue=(MagickRealType) ScaleShortToQuantum(channels[2]);
pixel->opacity=(MagickRealType) ScaleShortToQuantum(channels[3]);
pixel->index=(MagickRealType) ScaleShortToQuantum(channels[4]);
}
static inline void InsertPixelList(const Image *image,const PixelPacket *pixel,
const IndexPacket *indexes,PixelList *pixel_list)
{
size_t
signature;
unsigned short
index;
index=ScaleQuantumToShort(GetPixelRed(pixel));
signature=pixel_list->lists[0].nodes[index].signature;
if (signature == pixel_list->signature)
pixel_list->lists[0].nodes[index].count++;
else
AddNodePixelList(pixel_list,0,index);
index=ScaleQuantumToShort(GetPixelGreen(pixel));
signature=pixel_list->lists[1].nodes[index].signature;
if (signature == pixel_list->signature)
pixel_list->lists[1].nodes[index].count++;
else
AddNodePixelList(pixel_list,1,index);
index=ScaleQuantumToShort(GetPixelBlue(pixel));
signature=pixel_list->lists[2].nodes[index].signature;
if (signature == pixel_list->signature)
pixel_list->lists[2].nodes[index].count++;
else
AddNodePixelList(pixel_list,2,index);
index=ScaleQuantumToShort(GetPixelOpacity(pixel));
signature=pixel_list->lists[3].nodes[index].signature;
if (signature == pixel_list->signature)
pixel_list->lists[3].nodes[index].count++;
else
AddNodePixelList(pixel_list,3,index);
if (image->colorspace == CMYKColorspace)
index=ScaleQuantumToShort(GetPixelIndex(indexes));
signature=pixel_list->lists[4].nodes[index].signature;
if (signature == pixel_list->signature)
pixel_list->lists[4].nodes[index].count++;
else
AddNodePixelList(pixel_list,4,index);
}
static void ResetPixelList(PixelList *pixel_list)
{
int
level;
register ListNode
*root;
register SkipList
*list;
register ssize_t
channel;
/*
Reset the skip-list.
*/
for (channel=0; channel < 5; channel++)
{
list=pixel_list->lists+channel;
root=list->nodes+65536UL;
list->level=0;
for (level=0; level < 9; level++)
root->next[level]=65536UL;
}
pixel_list->seed=pixel_list->signature++;
}
MagickExport Image *StatisticImage(const Image *image,const StatisticType type,
const size_t width,const size_t height,ExceptionInfo *exception)
{
Image
*statistic_image;
statistic_image=StatisticImageChannel(image,DefaultChannels,type,width,
height,exception);
return(statistic_image);
}
MagickExport Image *StatisticImageChannel(const Image *image,
const ChannelType channel,const StatisticType type,const size_t width,
const size_t height,ExceptionInfo *exception)
{
#define StatisticImageTag "Statistic/Image"
CacheView
*image_view,
*statistic_view;
Image
*statistic_image;
MagickBooleanType
status;
MagickOffsetType
progress;
PixelList
**magick_restrict pixel_list;
size_t
neighbor_height,
neighbor_width;
ssize_t
y;
/*
Initialize statistics image attributes.
*/
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickCoreSignature);
statistic_image=CloneImage(image,0,0,MagickTrue,exception);
if (statistic_image == (Image *) NULL)
return((Image *) NULL);
if (SetImageStorageClass(statistic_image,DirectClass) == MagickFalse)
{
InheritException(exception,&statistic_image->exception);
statistic_image=DestroyImage(statistic_image);
return((Image *) NULL);
}
neighbor_width=width == 0 ? GetOptimalKernelWidth2D((double) width,0.5) :
width;
neighbor_height=height == 0 ? GetOptimalKernelWidth2D((double) height,0.5) :
height;
pixel_list=AcquirePixelListThreadSet(neighbor_width,neighbor_height);
if (pixel_list == (PixelList **) NULL)
{
statistic_image=DestroyImage(statistic_image);
ThrowImageException(ResourceLimitError,"MemoryAllocationFailed");
}
/*
Make each pixel the min / max / median / mode / etc. of the neighborhood.
*/
status=MagickTrue;
progress=0;
image_view=AcquireVirtualCacheView(image,exception);
statistic_view=AcquireAuthenticCacheView(statistic_image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(progress,status) \
magick_number_threads(image,statistic_image,statistic_image->rows,1)
#endif
for (y=0; y < (ssize_t) statistic_image->rows; y++)
{
const int
id = GetOpenMPThreadId();
register const IndexPacket
*magick_restrict indexes;
register const PixelPacket
*magick_restrict p;
register IndexPacket
*magick_restrict statistic_indexes;
register PixelPacket
*magick_restrict q;
register ssize_t
x;
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(image_view,-((ssize_t) neighbor_width/2L),y-
(ssize_t) (neighbor_height/2L),image->columns+neighbor_width,
neighbor_height,exception);
q=QueueCacheViewAuthenticPixels(statistic_view,0,y,statistic_image->columns, 1,exception);
if ((p == (const PixelPacket *) NULL) || (q == (PixelPacket *) NULL))
{
status=MagickFalse;
continue;
}
indexes=GetCacheViewVirtualIndexQueue(image_view);
statistic_indexes=GetCacheViewAuthenticIndexQueue(statistic_view);
for (x=0; x < (ssize_t) statistic_image->columns; x++)
{
MagickPixelPacket
pixel;
register const IndexPacket
*magick_restrict s;
register const PixelPacket
*magick_restrict r;
register ssize_t
u,
v;
r=p;
s=indexes+x;
ResetPixelList(pixel_list[id]);
for (v=0; v < (ssize_t) neighbor_height; v++)
{
for (u=0; u < (ssize_t) neighbor_width; u++)
InsertPixelList(image,r+u,s+u,pixel_list[id]);
r+=image->columns+neighbor_width;
s+=image->columns+neighbor_width;
}
GetMagickPixelPacket(image,&pixel);
SetMagickPixelPacket(image,p+neighbor_width*neighbor_height/2,indexes+x+
neighbor_width*neighbor_height/2,&pixel);
switch (type)
{
case GradientStatistic:
{
MagickPixelPacket
maximum,
minimum;
GetMinimumPixelList(pixel_list[id],&pixel);
minimum=pixel;
GetMaximumPixelList(pixel_list[id],&pixel);
maximum=pixel;
pixel.red=MagickAbsoluteValue(maximum.red-minimum.red);
pixel.green=MagickAbsoluteValue(maximum.green-minimum.green);
pixel.blue=MagickAbsoluteValue(maximum.blue-minimum.blue);
pixel.opacity=MagickAbsoluteValue(maximum.opacity-minimum.opacity);
if (image->colorspace == CMYKColorspace)
pixel.index=MagickAbsoluteValue(maximum.index-minimum.index);
break;
}
case MaximumStatistic:
{
GetMaximumPixelList(pixel_list[id],&pixel);
break;
}
case MeanStatistic:
{
GetMeanPixelList(pixel_list[id],&pixel);
break;
}
case MedianStatistic:
default:
{
GetMedianPixelList(pixel_list[id],&pixel);
break;
}
case MinimumStatistic:
{
GetMinimumPixelList(pixel_list[id],&pixel);
break;
}
case ModeStatistic:
{
GetModePixelList(pixel_list[id],&pixel);
break;
}
case NonpeakStatistic:
{
GetNonpeakPixelList(pixel_list[id],&pixel);
break;
}
case RootMeanSquareStatistic:
{
GetRootMeanSquarePixelList(pixel_list[id],&pixel);
break;
}
case StandardDeviationStatistic:
{
GetStandardDeviationPixelList(pixel_list[id],&pixel);
break;
}
}
if ((channel & RedChannel) != 0)
SetPixelRed(q,ClampToQuantum(pixel.red));
if ((channel & GreenChannel) != 0)
SetPixelGreen(q,ClampToQuantum(pixel.green));
if ((channel & BlueChannel) != 0)
SetPixelBlue(q,ClampToQuantum(pixel.blue));
if ((channel & OpacityChannel) != 0)
SetPixelOpacity(q,ClampToQuantum(pixel.opacity));
if (((channel & IndexChannel) != 0) &&
(image->colorspace == CMYKColorspace))
SetPixelIndex(statistic_indexes+x,ClampToQuantum(pixel.index));
p++;
q++;
}
if (SyncCacheViewAuthenticPixels(statistic_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
proceed=SetImageProgress(image,StatisticImageTag,progress++,
image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
statistic_view=DestroyCacheView(statistic_view);
image_view=DestroyCacheView(image_view);
pixel_list=DestroyPixelListThreadSet(pixel_list);
if (status == MagickFalse)
statistic_image=DestroyImage(statistic_image);
return(statistic_image);
}
|
pr59073.c | /* PR c/59073 */
/* { dg-do compile } */
/* { dg-options "-fopenmp" } */
void
foo ()
{
int i;
#pragma omp distribute parallel for
for (i = 0; i < 10; i) /* { dg-error "invalid increment expression" } */
;
}
|
phonopy.c | /* Copyright (C) 2021 Atsushi Togo */
/* All rights reserved. */
/* This file is part of phonopy. */
/* Redistribution and use in source and binary forms, with or without */
/* modification, are permitted provided that the following conditions */
/* are met: */
/* * Redistributions of source code must retain the above copyright */
/* notice, this list of conditions and the following disclaimer. */
/* * Redistributions in binary form must reproduce the above copyright */
/* notice, this list of conditions and the following disclaimer in */
/* the documentation and/or other materials provided with the */
/* distribution. */
/* * Neither the name of the phonopy project nor the names of its */
/* contributors may be used to endorse or promote products derived */
/* from this software without specific prior written permission. */
/* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS */
/* "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT */
/* LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS */
/* FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE */
/* COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, */
/* INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, */
/* BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; */
/* LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER */
/* CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT */
/* LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN */
/* ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE */
/* POSSIBILITY OF SUCH DAMAGE. */
#include <math.h>
#include <stdio.h>
#include <stdlib.h>
#include <float.h>
#include "dynmat.h"
#include "derivative_dynmat.h"
#include "rgrid.h"
#include "phonopy.h"
#include "tetrahedron_method.h"
#define KB 8.6173382568083159E-05
static void set_index_permutation_symmetry_fc(double * fc, const int natom);
static void set_translational_symmetry_fc(double * fc, const int natom);
static void set_translational_symmetry_compact_fc(double * fc,
const int p2s[],
const int n_satom,
const int n_patom);
static double get_free_energy(const double temperature, const double f);
static double get_entropy(const double temperature, const double f);
static double get_heat_capacity(const double temperature, const double f);
/* static double get_energy(double temperature, double f); */
static void distribute_fc2(double (*fc2)[3][3],
const int * atom_list,
const int len_atom_list,
PHPYCONST double (*r_carts)[3][3],
const int * permutations,
const int * map_atoms,
const int * map_syms,
const int num_rot,
const int num_pos);
static int nint(const double a);
void phpy_transform_dynmat_to_fc(double *fc,
const double *dm,
const double (*comm_points)[3],
const double (*svecs)[3],
const long (*multi)[2],
const double *masses,
const long *s2pp_map,
const long *fc_index_map,
const long num_patom,
const long num_satom)
{
dym_transform_dynmat_to_fc(fc,
dm,
comm_points,
svecs,
multi,
masses,
s2pp_map,
fc_index_map,
num_patom,
num_satom);
}
long phpy_get_dynamical_matrix_at_q(double *dynamical_matrix,
const long num_patom,
const long num_satom,
const double *fc,
const double q[3],
const double (*svecs)[3],
const long (*multi)[2],
const double *mass,
const long *s2p_map,
const long *p2s_map,
const double (*charge_sum)[3][3],
const long with_openmp)
{
return dym_get_dynamical_matrix_at_q(dynamical_matrix,
num_patom,
num_satom,
fc,
q,
svecs,
multi,
mass,
s2p_map,
p2s_map,
charge_sum,
1);
}
void phpy_get_charge_sum(double (*charge_sum)[3][3],
const long num_patom,
const double factor, /* 4pi/V*unit-conv and denominator */
const double q_cart[3],
const double (*born)[3][3])
{
dym_get_charge_sum(charge_sum, num_patom, factor, q_cart, born);
}
void phpy_get_recip_dipole_dipole(double *dd, /* [natom, 3, natom, 3, (real,imag)] */
const double *dd_q0, /* [natom, 3, 3, (real,imag)] */
const double (*G_list)[3], /* [num_G, 3] */
const long num_G,
const long num_patom,
const double q_cart[3],
const double *q_direction_cart, /* must be pointer */
const double (*born)[3][3],
const double dielectric[3][3],
const double (*pos)[3], /* [num_patom, 3] */
const double factor, /* 4pi/V*unit-conv */
const double lambda,
const double tolerance)
{
dym_get_recip_dipole_dipole(dd,
dd_q0,
G_list,
num_G,
num_patom,
q_cart,
q_direction_cart,
born,
dielectric,
pos,
factor,
lambda,
tolerance);
}
void phpy_get_recip_dipole_dipole_q0(double *dd_q0, /* [natom, 3, 3, (real,imag)] */
const double (*G_list)[3], /* [num_G, 3] */
const long num_G,
const long num_patom,
const double (*born)[3][3],
const double dielectric[3][3],
const double (*pos)[3], /* [num_patom, 3] */
const double lambda,
const double tolerance)
{
dym_get_recip_dipole_dipole_q0(dd_q0,
G_list,
num_G,
num_patom,
born,
dielectric,
pos,
lambda,
tolerance);
}
void phpy_get_derivative_dynmat_at_q(double *derivative_dynmat,
const long num_patom,
const long num_satom,
const double *fc,
const double *q,
const double *lattice, /* column vector */
const double (*svecs)[3],
const long (*multi)[2],
const double *mass,
const long *s2p_map,
const long *p2s_map,
const double nac_factor,
const double *born,
const double *dielectric,
const double *q_direction)
{
ddm_get_derivative_dynmat_at_q(derivative_dynmat,
num_patom,
num_satom,
fc,
q,
lattice,
svecs,
multi,
mass,
s2p_map,
p2s_map,
nac_factor,
born,
dielectric,
q_direction);
}
void phpy_get_relative_grid_address(long relative_grid_address[24][4][3],
PHPYCONST double reciprocal_lattice[3][3])
{
thm_get_relative_grid_address(relative_grid_address, reciprocal_lattice);
}
void phpy_get_all_relative_grid_address(long relative_grid_address[4][24][4][3])
{
thm_get_all_relative_grid_address(relative_grid_address);
}
double phpy_get_integration_weight(const double omega,
PHPYCONST double tetrahedra_omegas[24][4],
const char function)
{
return thm_get_integration_weight(omega, tetrahedra_omegas, function);
}
void phpy_get_tetrahedra_frequenies(double *freq_tetras,
const long mesh[3],
const long* grid_points,
PHPYCONST long (*grid_address)[3],
PHPYCONST long (*relative_grid_address)[3],
const long* gp_ir_index,
const double *frequencies,
const long num_band,
const long num_gp)
{
long is_shift[3] = {0, 0, 0};
long i, j, k, gp;
long g_addr[3];
long address_double[3];
/* relative_grid_address[4, 24, 3] is viewed as [96, 3]. */
for (i = 0; i < num_gp; i++) {
#pragma omp parallel for private(k, g_addr, gp, address_double)
for (j = 0; j < num_band * 96; j++) {
for (k = 0; k < 3; k++) {
g_addr[k] = grid_address[grid_points[i]][k] +
relative_grid_address[j % 96][k];
}
rgd_get_double_grid_address(address_double,
g_addr,
mesh,
is_shift);
gp = rgd_get_double_grid_index(address_double, mesh);
freq_tetras[i * num_band * 96 + j] = frequencies[gp_ir_index[gp] * num_band + j / 96];
}
}
}
void phpy_tetrahedron_method_dos(double *dos,
const long mesh[3],
PHPYCONST long (*grid_address)[3],
PHPYCONST long (*relative_grid_address)[4][3],
const long *grid_mapping_table,
const double *freq_points,
const double *frequencies,
const double *coef,
const long num_freq_points,
const long num_ir_gp,
const long num_band,
const long num_coef,
const long num_gp)
{
long is_shift[3] = {0, 0, 0};
long i, j, k, l, m, q, r, count;
long ir_gps[24][4];
long g_addr[3];
double tetrahedra[24][4];
long address_double[3];
long *gp2ir, *ir_grid_points;
long *weights;
double iw;
gp2ir = NULL;
ir_grid_points = NULL;
weights = NULL;
gp2ir = (long*)malloc(sizeof(long) * num_gp);
ir_grid_points = (long*)malloc(sizeof(long) * num_ir_gp);
weights = (long*)malloc(sizeof(long) * num_ir_gp);
count = 0;
for (i = 0; i < num_gp; i++) {
if (grid_mapping_table[i] == i) {
gp2ir[i] = count;
ir_grid_points[count] = i;
weights[count] = 1;
count++;
} else {
gp2ir[i] = gp2ir[grid_mapping_table[i]];
weights[gp2ir[i]]++;
}
}
if (num_ir_gp != count) {
printf("Something is wrong!\n");
}
#pragma omp parallel for private(j, k, l, m, q, r, iw, ir_gps, g_addr, tetrahedra, address_double)
for (i = 0; i < num_ir_gp; i++) {
/* set 24 tetrahedra */
for (l = 0; l < 24; l++) {
for (q = 0; q < 4; q++) {
for (r = 0; r < 3; r++) {
g_addr[r] = grid_address[ir_grid_points[i]][r] +
relative_grid_address[l][q][r];
}
rgd_get_double_grid_address(address_double,
g_addr,
mesh,
is_shift);
ir_gps[l][q] = gp2ir[rgd_get_double_grid_index(address_double, mesh)];
}
}
for (k = 0; k < num_band; k++) {
for (l = 0; l < 24; l++) {
for (q = 0; q < 4; q++) {
tetrahedra[l][q] = frequencies[ir_gps[l][q] * num_band + k];
}
}
for (j = 0; j < num_freq_points; j++) {
iw = thm_get_integration_weight(freq_points[j], tetrahedra, 'I') * weights[i];
for (m = 0; m < num_coef; m++) {
dos[i * num_band * num_freq_points * num_coef +
k * num_coef * num_freq_points + j * num_coef + m] +=
iw * coef[i * num_coef * num_band + m * num_band + k];
}
}
}
}
free(gp2ir);
gp2ir = NULL;
free(ir_grid_points);
ir_grid_points = NULL;
free(weights);
weights = NULL;
}
void phpy_get_thermal_properties(double *thermal_props,
const double *temperatures,
const double *freqs,
const long *weights,
const long num_temp,
const long num_qpoints,
const long num_bands,
const double cutoff_frequency)
{
long i, j, k;
double f;
double *tp;
tp = (double*)malloc(sizeof(double) * num_qpoints * num_temp * 3);
for (i = 0; i < num_qpoints * num_temp * 3; i++) {
tp[i] = 0;
}
#pragma omp parallel for private(j, k, f)
for (i = 0; i < num_qpoints; i++){
for (j = 0; j < num_temp; j++) {
for (k = 0; k < num_bands; k++){
f = freqs[i * num_bands + k];
if (temperatures[j] > 0 && f > cutoff_frequency) {
tp[i * num_temp * 3 + j * 3] +=
get_free_energy(temperatures[j], f) * weights[i];
tp[i * num_temp * 3 + j * 3 + 1] +=
get_entropy(temperatures[j], f) * weights[i];
tp[i * num_temp * 3 + j * 3 + 2] +=
get_heat_capacity(temperatures[j], f) * weights[i];
}
}
}
}
for (i = 0; i < num_qpoints; i++) {
for (j = 0; j < num_temp * 3; j++) {
thermal_props[j] += tp[i * num_temp * 3 + j];
}
}
free(tp);
tp = NULL;
}
void phpy_distribute_fc2(double (*fc2)[3][3],
const int * atom_list,
const int len_atom_list,
PHPYCONST double (*r_carts)[3][3],
const int * permutations,
const int * map_atoms,
const int * map_syms,
const int num_rot,
const int num_pos)
{
distribute_fc2(fc2,
atom_list,
len_atom_list,
r_carts,
permutations,
map_atoms,
map_syms,
num_rot,
num_pos);
}
int phpy_compute_permutation(int * rot_atom,
PHPYCONST double lat[3][3],
PHPYCONST double (*pos)[3],
PHPYCONST double (*rot_pos)[3],
const int num_pos,
const double symprec)
{
int i,j,k,l;
int search_start;
double distance2, diff_cart;
double diff[3];
for (i = 0; i < num_pos; i++) {
rot_atom[i] = -1;
}
/* optimization: Iterate primarily by pos instead of rot_pos. */
/* (find where 0 belongs in rot_atom, then where 1 belongs, etc.) */
/* Then track the first unassigned index. */
/* */
/* This works best if the permutation is close to the identity. */
/* (more specifically, if the max value of 'rot_atom[i] - i' is small) */
search_start = 0;
for (i = 0; i < num_pos; i++) {
while (rot_atom[search_start] >= 0) {
search_start++;
}
for (j = search_start; j < num_pos; j++) {
if (rot_atom[j] >= 0) {
continue;
}
for (k = 0; k < 3; k++) {
diff[k] = pos[i][k] - rot_pos[j][k];
diff[k] -= nint(diff[k]);
}
distance2 = 0;
for (k = 0; k < 3; k++) {
diff_cart = 0;
for (l = 0; l < 3; l++) {
diff_cart += lat[k][l] * diff[l];
}
distance2 += diff_cart * diff_cart;
}
if (sqrt(distance2) < symprec) {
rot_atom[j] = i;
break;
}
}
}
for (i = 0; i < num_pos; i++) {
if (rot_atom[i] < 0) {
return 0;
}
}
return 1;
}
void phpy_set_smallest_vectors_sparse(double (*smallest_vectors)[27][3],
int *multiplicity,
PHPYCONST double (*pos_to)[3],
const int num_pos_to,
PHPYCONST double (*pos_from)[3],
const int num_pos_from,
PHPYCONST int (*lattice_points)[3],
const int num_lattice_points,
PHPYCONST double reduced_basis[3][3],
PHPYCONST int trans_mat[3][3],
const double symprec)
{
int i, j, k, l, count;
double length_tmp, minimum, vec_xyz;
double *length;
double (*vec)[3];
length = (double*)malloc(sizeof(double) * num_lattice_points);
vec = (double(*)[3])malloc(sizeof(double[3]) * num_lattice_points);
for (i = 0; i < num_pos_to; i++) {
for (j = 0; j < num_pos_from; j++) {
for (k = 0; k < num_lattice_points; k++) {
length[k] = 0;
for (l = 0; l < 3; l++) {
vec[k][l] = pos_to[i][l] - pos_from[j][l] + lattice_points[k][l];
}
for (l = 0; l < 3; l++) {
length_tmp = (reduced_basis[l][0] * vec[k][0] +
reduced_basis[l][1] * vec[k][1] +
reduced_basis[l][2] * vec[k][2]);
length[k] += length_tmp * length_tmp;
}
length[k] = sqrt(length[k]);
}
minimum = DBL_MAX;
for (k = 0; k < num_lattice_points; k++) {
if (length[k] < minimum) {
minimum = length[k];
}
}
count = 0;
for (k = 0; k < num_lattice_points; k++) {
if (length[k] - minimum < symprec) {
for (l = 0; l < 3; l++) {
/* Transform back to supercell coordinates */
vec_xyz = (trans_mat[l][0] * vec[k][0] +
trans_mat[l][1] * vec[k][1] +
trans_mat[l][2] * vec[k][2]);
smallest_vectors[i * num_pos_from + j][count][l] = vec_xyz;
}
count++;
}
}
if (count > 27) { /* should not be greater than 27 */
printf("Warning (gsv_set_smallest_vectors_sparse): ");
printf("number of shortest vectors is out of range,\n");
break;
} else {
multiplicity[i * num_pos_from + j] = count;
}
}
}
free(length);
length = NULL;
free(vec);
vec = NULL;
}
void phpy_set_smallest_vectors_dense(double (*smallest_vectors)[3],
long (*multiplicity)[2],
PHPYCONST double (*pos_to)[3],
const long num_pos_to,
PHPYCONST double (*pos_from)[3],
const long num_pos_from,
PHPYCONST long (*lattice_points)[3],
const long num_lattice_points,
PHPYCONST double reduced_basis[3][3],
PHPYCONST long trans_mat[3][3],
const long initialize,
const double symprec)
{
long i, j, k, l, count, adrs;
double length_tmp, minimum, vec_xyz;
double *length;
double (*vec)[3];
length = (double*)malloc(sizeof(double) * num_lattice_points);
vec = (double(*)[3])malloc(sizeof(double[3]) * num_lattice_points);
adrs = 0;
for (i = 0; i < num_pos_to; i++) {
for (j = 0; j < num_pos_from; j++) {
for (k = 0; k < num_lattice_points; k++) {
length[k] = 0;
for (l = 0; l < 3; l++) {
vec[k][l] = pos_to[i][l] - pos_from[j][l] + lattice_points[k][l];
}
for (l = 0; l < 3; l++) {
length_tmp = (reduced_basis[l][0] * vec[k][0] +
reduced_basis[l][1] * vec[k][1] +
reduced_basis[l][2] * vec[k][2]);
length[k] += length_tmp * length_tmp;
}
length[k] = sqrt(length[k]);
}
minimum = DBL_MAX;
for (k = 0; k < num_lattice_points; k++) {
if (length[k] < minimum) {
minimum = length[k];
}
}
count = 0;
for (k = 0; k < num_lattice_points; k++) {
if (length[k] - minimum < symprec) {
if (!initialize) {
for (l = 0; l < 3; l++) {
/* Transform back to supercell coordinates */
vec_xyz = (trans_mat[l][0] * vec[k][0] +
trans_mat[l][1] * vec[k][1] +
trans_mat[l][2] * vec[k][2]);
smallest_vectors[adrs + count][l] = vec_xyz;
}
}
count++;
}
}
if (initialize) {
multiplicity[i * num_pos_from + j][0] = count;
multiplicity[i * num_pos_from + j][1] = adrs;
}
adrs += count;
}
}
free(length);
length = NULL;
free(vec);
vec = NULL;
}
void phpy_perm_trans_symmetrize_fc(double *fc,
const int n_satom,
const int level)
{
int i, j, k, l, iter;
double sum;
for (iter = 0; iter < level; iter++) {
/* Subtract drift along column */
for (j = 0; j < n_satom; j++) {
for (k = 0; k < 3; k++) {
for (l = 0; l < 3; l++) {
sum = 0;
for (i = 0; i < n_satom; i++) {
sum += fc[i * n_satom * 9 + j * 9 + k * 3 + l];
}
sum /= n_satom;
for (i = 0; i < n_satom; i++) {
fc[i * n_satom * 9 + j * 9 + k * 3 + l] -= sum;
}
}
}
}
/* Subtract drift along row */
for (i = 0; i < n_satom; i++) {
for (k = 0; k < 3; k++) {
for (l = 0; l < 3; l++) {
sum = 0;
for (j = 0; j < n_satom; j++) {
sum += fc[i * n_satom * 9 + j * 9 + k * 3 + l];
}
sum /= n_satom;
for (j = 0; j < n_satom; j++) {
fc[i * n_satom * 9 + j * 9 + k * 3 + l] -= sum;
}
}
}
}
set_index_permutation_symmetry_fc(fc, n_satom);
}
set_translational_symmetry_fc(fc, n_satom);
}
void phpy_perm_trans_symmetrize_compact_fc(double *fc,
const int p2s[],
const int s2pp[],
const int nsym_list[],
const int perms[],
const int n_satom,
const int n_patom,
const int level)
{
int i, j, k, l, n, iter;
double sum;
for (iter=0; iter < level; iter++) {
for (n = 0; n < 2; n++) {
/* transpose only */
phpy_set_index_permutation_symmetry_compact_fc(fc,
p2s,
s2pp,
nsym_list,
perms,
n_satom,
n_patom,
1);
for (i = 0; i < n_patom; i++) {
for (k = 0; k < 3; k++) {
for (l = 0; l < 3; l++) {
sum = 0;
for (j = 0; j < n_satom; j++) {
sum += fc[i * n_satom * 9 + j * 9 + k * 3 + l];
}
sum /= n_satom;
for (j = 0; j < n_satom; j++) {
fc[i * n_satom * 9 + j * 9 + k * 3 + l] -= sum;
}
}
}
}
}
phpy_set_index_permutation_symmetry_compact_fc(fc,
p2s,
s2pp,
nsym_list,
perms,
n_satom,
n_patom,
0);
}
set_translational_symmetry_compact_fc(fc, p2s, n_satom, n_patom);
}
void phpy_set_index_permutation_symmetry_compact_fc(double * fc,
const int p2s[],
const int s2pp[],
const int nsym_list[],
const int perms[],
const int n_satom,
const int n_patom,
const int is_transpose)
{
int i, j, k, l, m, n, i_p, j_p, i_trans;
double fc_elem;
char *done;
done = NULL;
done = (char*)malloc(sizeof(char) * n_satom * n_patom);
for (i = 0; i < n_satom * n_patom; i++) {
done[i] = 0;
}
for (j = 0; j < n_satom; j++) {
j_p = s2pp[j];
for (i_p = 0; i_p < n_patom; i_p++) {
i = p2s[i_p];
if (i == j) { /* diagnoal part */
for (k = 0; k < 3; k++) {
for (l = 0; l < 3; l++) {
if (l > k) {
m = i_p * n_satom * 9 + i * 9 + k * 3 + l;
n = i_p * n_satom * 9 + i * 9 + l * 3 + k;
if (is_transpose) {
fc_elem = fc[m];
fc[m] = fc[n];
fc[n] = fc_elem;
} else {
fc[m] = (fc[m] + fc[n]) / 2;
fc[n] = fc[m];
}
}
}
}
}
if (!done[i_p * n_satom + j]) {
/* (j, i) -- nsym_list[j] --> (j', i') */
/* nsym_list[j] translates j to j' where j' is in */
/* primitive cell. The same translation sends i to i' */
/* where i' is not necessarily to be in primitive cell. */
/* Thus, i' = perms[nsym_list[j] * n_satom + i] */
i_trans = perms[nsym_list[j] * n_satom + i];
done[i_p * n_satom + j] = 1;
done[j_p * n_satom + i_trans] = 1;
for (k = 0; k < 3; k++) {
for (l = 0; l < 3; l++) {
m = i_p * n_satom * 9 + j * 9 + k * 3 + l;
n = j_p * n_satom * 9 + i_trans * 9 + l * 3 + k;
if (is_transpose) {
fc_elem = fc[m];
fc[m] = fc[n];
fc[n] = fc_elem;
} else {
fc[m] = (fc[n] + fc[m]) / 2;
fc[n] = fc[m];
}
}
}
}
}
}
free(done);
done = NULL;
}
static void set_index_permutation_symmetry_fc(double * fc,
const int natom)
{
int i, j, k, l, m, n;
for (i = 0; i < natom; i++) {
/* non diagonal part */
for (j = i + 1; j < natom; j++) {
for (k = 0; k < 3; k++) {
for (l = 0; l < 3; l++) {
m = i * natom * 9 + j * 9 + k * 3 + l;
n = j * natom * 9 + i * 9 + l * 3 + k;
fc[m] += fc[n];
fc[m] /= 2;
fc[n] = fc[m];
}
}
}
/* diagnoal part */
for (k = 0; k < 2; k++) {
for (l = k + 1; l < 3; l++) {
m = i * natom * 9 + i * 9 + k * 3 + l;
n = i * natom * 9 + i * 9 + l * 3 + k;
fc[m] += fc[n];
fc[m] /= 2;
fc[n] = fc[m];
}
}
}
}
static void set_translational_symmetry_fc(double * fc,
const int natom)
{
int i, j, k, l, m;
double sums[3][3];
for (i = 0; i < natom; i++) {
for (k = 0; k < 3; k++) {
for (l = 0; l < 3; l++) {
sums[k][l] = 0;
m = i * natom * 9 + k * 3 + l;
for (j = 0; j < natom; j++) {
if (i != j) {
sums[k][l] += fc[m];
}
m += 9;
}
}
}
for (k = 0; k < 3; k++) {
for (l = 0; l < 3; l++) {
fc[i * natom * 9 + i * 9 + k * 3 + l] = -(sums[k][l] + sums[l][k]) / 2;
}
}
}
}
static void set_translational_symmetry_compact_fc(double * fc,
const int p2s[],
const int n_satom,
const int n_patom)
{
int j, k, l, m, i_p;
double sums[3][3];
for (i_p = 0; i_p < n_patom; i_p++) {
for (k = 0; k < 3; k++) {
for (l = 0; l < 3; l++) {
sums[k][l] = 0;
m = i_p * n_satom * 9 + k * 3 + l;
for (j = 0; j < n_satom; j++) {
if (p2s[i_p] != j) {
sums[k][l] += fc[m];
}
m += 9;
}
}
}
for (k = 0; k < 3; k++) {
for (l = 0; l < 3; l++) {
fc[i_p * n_satom * 9 + p2s[i_p] * 9 + k * 3 + l] =
-(sums[k][l] + sums[l][k]) / 2;
}
}
}
}
static double get_free_energy(const double temperature, const double f)
{
/* temperature is defined by T (K) */
/* 'f' must be given in eV. */
return KB * temperature * log(1 - exp(- f / (KB * temperature)));
}
static double get_entropy(const double temperature, const double f)
{
/* temperature is defined by T (K) */
/* 'f' must be given in eV. */
double val;
val = f / (2 * KB * temperature);
return 1 / (2 * temperature) * f * cosh(val) / sinh(val) - KB * log(2 * sinh(val));
}
static double get_heat_capacity(const double temperature, const double f)
{
/* temperature is defined by T (K) */
/* 'f' must be given in eV. */
/* If val is close to 1. Then expansion is used. */
double val, val1, val2;
val = f / (KB * temperature);
val1 = exp(val);
val2 = (val) / (val1 - 1);
return KB * val1 * val2 * val2;
}
static void distribute_fc2(double (*fc2)[3][3], /* shape[n_pos][n_pos] */
const int * atom_list,
const int len_atom_list,
PHPYCONST double (*r_carts)[3][3], /* shape[n_rot] */
const int * permutations, /* shape[n_rot][n_pos] */
const int * map_atoms, /* shape [n_pos] */
const int * map_syms, /* shape [n_pos] */
const int num_rot,
const int num_pos)
{
int i, j, k, l, m;
int atom_todo, atom_done, atom_other;
int sym_index;
int *atom_list_reverse;
double (*fc2_done)[3];
double (*fc2_todo)[3];
double (*r_cart)[3];
const int * permutation;
atom_list_reverse = NULL;
atom_list_reverse = (int*)malloc(sizeof(int) * num_pos);
/* atom_list_reverse[!atom_done] is undefined. */
for (i = 0; i < len_atom_list; i++) {
atom_done = map_atoms[atom_list[i]];
if (atom_done == atom_list[i]) {
atom_list_reverse[atom_done] = i;
}
}
for (i = 0; i < len_atom_list; i++) {
/* look up how this atom maps into the done list. */
atom_todo = atom_list[i];
atom_done = map_atoms[atom_todo];
sym_index = map_syms[atom_todo];
/* skip the atoms in the done list, */
/* which are easily identified because they map to themselves. */
if (atom_todo == atom_done) {
continue;
}
/* look up information about the rotation */
r_cart = r_carts[sym_index];
permutation = &permutations[sym_index * num_pos]; /* shape[num_pos] */
/* distribute terms from atom_done to atom_todo */
for (atom_other = 0; atom_other < num_pos; atom_other++) {
fc2_done = fc2[atom_list_reverse[atom_done] * num_pos + permutation[atom_other]];
fc2_todo = fc2[i * num_pos + atom_other];
for (j = 0; j < 3; j++) {
for (k = 0; k < 3; k++) {
for (l = 0; l < 3; l++) {
for (m = 0; m < 3; m++) {
/* P' = R^-1 P R */
fc2_todo[j][k] += r_cart[l][j] * r_cart[m][k] * fc2_done[l][m];
}
}
}
}
}
}
free(atom_list_reverse);
atom_list_reverse = NULL;
}
/* static double get_energy(double temperature, double f){ */
/* /\* temperature is defined by T (K) *\/ */
/* /\* 'f' must be given in eV. *\/ */
/* return f / (exp(f / (KB * temperature)) - 1); */
/* } */
static int nint(const double a)
{
if (a < 0.0)
return (int) (a - 0.5);
else
return (int) (a + 0.5);
}
|
zlanhe.c | /**
*
* @file
*
* PLASMA is a software package provided by:
* University of Tennessee, US,
* University of Manchester, UK.
*
* @precisions normal z -> c
*
**/
#include "plasma.h"
#include "plasma_async.h"
#include "plasma_context.h"
#include "plasma_descriptor.h"
#include "plasma_internal.h"
#include "plasma_tuning.h"
#include "plasma_types.h"
/***************************************************************************//**
*
* @ingroup plasma_lanhe
*
* Returns the norm of a Hermitian matrix as
*
* zlanhe = ( max(abs(A(i,j))), NORM = PlasmaMaxNorm
* (
* ( norm1(A), NORM = PlasmaOneNorm
* (
* ( normI(A), NORM = PlasmaInfNorm
* (
* ( normF(A), NORM = PlasmaFrobeniusNorm
*
* where norm1 denotes the one norm of a matrix (maximum column sum),
* normI denotes the infinity norm of a matrix (maximum row sum) and
* normF denotes the Frobenius norm of a matrix (square root of sum
* of squares). Note that max(abs(A(i,j))) is not a consistent matrix
* norm.
*
*******************************************************************************
*
* @param[in] norm
* - PlasmaMaxNorm: Max norm
* - PlasmaOneNorm: One norm
* - PlasmaInfNorm: Infinity norm
* - PlasmaFrobeniusNorm: Frobenius norm
*
* @param[in] uplo
* - PlasmaUpper: Upper triangle of A is stored;
* - PlasmaLower: Lower triangle of A is stored.
*
* @param[in] n
* The order of the matrix A. n >= 0.
*
* @param[in,out] pA
* On entry, the Hermitian matrix A.
* If uplo = PlasmaUpper, the leading N-by-N upper triangular part of A
* contains the upper triangular part of the matrix A, and the strictly
* lower triangular part of A is not referenced.
* If uplo = PlasmaLower, the leading N-by-N lower triangular part of A
* contains the lower triangular part of the matrix A, and the strictly
* upper triangular part of A is not referenced.
*
* @param[in] lda
* The leading dimension of the array A. lda >= max(1,m).
*
*******************************************************************************
*
* @retval double
* The specified norm of the Hermitian matrix A.
*
*******************************************************************************
*
* @sa plasma_omp_zlanhe
* @sa plasma_clanhe
*
******************************************************************************/
double plasma_zlanhe(plasma_enum_t norm, plasma_enum_t uplo,
int n,
plasma_complex64_t *pA, int lda)
{
// Get PLASMA context.
plasma_context_t *plasma = plasma_context_self();
if (plasma == NULL) {
plasma_error("PLASMA not initialized");
return PlasmaErrorNotInitialized;
}
// Check input arguments.
if ((norm != PlasmaMaxNorm) && (norm != PlasmaOneNorm) &&
(norm != PlasmaInfNorm) && (norm != PlasmaFrobeniusNorm) ) {
plasma_error("illegal value of norm");
return -1;
}
if ((uplo != PlasmaUpper) &&
(uplo != PlasmaLower)) {
plasma_error("illegal value of uplo");
return -2;
}
if (n < 0) {
plasma_error("illegal value of n");
return -3;
}
if (lda < imax(1, n)) {
plasma_error("illegal value of lda");
return -5;
}
// quick return
if (n == 0)
return 0.0;
// Tune parameters.
if (plasma->tuning)
plasma_tune_lansy(plasma, PlasmaComplexDouble, n);
// Set tiling parameters.
int nb = plasma->nb;
// Create tile matrices.
plasma_desc_t A;
int retval;
retval = plasma_desc_general_create(PlasmaComplexDouble, nb, nb,
n, n, 0, 0, n, n, &A);
if (retval != PlasmaSuccess) {
plasma_error("plasma_desc_general_create() failed");
return retval;
}
// Allocate workspace.
double *work = NULL;
switch (norm) {
case PlasmaMaxNorm:
work = (double*)malloc((size_t)A.mt*A.nt*sizeof(double));
break;
case PlasmaOneNorm:
case PlasmaInfNorm:
work = (double*)malloc(((size_t)A.mt*A.n+A.n)*sizeof(double));
break;
case PlasmaFrobeniusNorm:
work = (double*)malloc((size_t)2*A.mt*A.nt*sizeof(double));
break;
}
if (work == NULL) {
plasma_error("malloc() failed");
return PlasmaErrorOutOfMemory;
}
// Initialize sequence.
plasma_sequence_t sequence;
retval = plasma_sequence_init(&sequence);
// Initialize request.
plasma_request_t request;
retval = plasma_request_init(&request);
double value;
// asynchronous block
#pragma omp parallel
#pragma omp master
{
// Translate to tile layout.
plasma_omp_zge2desc(pA, lda, A, &sequence, &request);
// Call tile async function.
plasma_omp_zlanhe(norm, uplo, A, work, &value, &sequence, &request);
}
// implicit synchronization
free(work);
// Free matrix in tile layout.
plasma_desc_destroy(&A);
// Return the norm.
return value;
}
/***************************************************************************//**
*
* @ingroup plasma_lanhe
*
* Calculates the max, one, infinity or Frobenius norm of a Hermitian matrix.
* Non-blocking equivalent of plasma_zlanhe(). May return before the
* computation is finished. Operates on matrices stored by tiles. All matrices
* are passed through descriptors. All dimensions are taken from the
* descriptors. Allows for pipelining of operations at runtime.
*
*******************************************************************************
*
* @param[in] norm
* - PlasmaMaxNorm: Max norm
* - PlasmaOneNorm: One norm
* - PlasmaInfNorm: Infinity norm
* - PlasmaFrobeniusNorm: Frobenius norm
*
* @param[in] uplo
* - PlasmaUpper: Upper triangle of A is stored;
* - PlasmaLower: Lower triangle of A is stored.
*
* @param[in] A
* The descriptor of matrix A.
*
* @param[out] work
* Workspace of size:
* - PlasmaMaxNorm: A.mt*A.nt
* - PlasmaOneNorm: A.mt*A.n + A.n
* - PlasmaInfNorm: A.mt*A.n + A.n
* - PlasmaFrobeniusNorm: 2*A.mt*A.nt
*
* @param[out] value
* The calculated value of the norm requested.
*
* @param[in] sequence
* Identifies the sequence of function calls that this call belongs to
* (for completion checks and exception handling purposes).
*
* @param[out] request
* Identifies this function call (for exception handling purposes).
*
* @retval void
* Errors are returned by setting sequence->status and
* request->status to error values. The sequence->status and
* request->status should never be set to PlasmaSuccess (the
* initial values) since another async call may be setting a
* failure value at the same time.
*
*******************************************************************************
*
* @sa plasma_zlanhe
* @sa plasma_omp_clanhe
*
******************************************************************************/
void plasma_omp_zlanhe(plasma_enum_t norm, plasma_enum_t uplo, plasma_desc_t A,
double *work, double *value,
plasma_sequence_t *sequence, plasma_request_t *request)
{
// Get PLASMA context.
plasma_context_t *plasma = plasma_context_self();
if (plasma == NULL) {
plasma_error("PLASMA not initialized");
plasma_request_fail(sequence, request, PlasmaErrorIllegalValue);
return;
}
// Check input arguments.
if ((norm != PlasmaMaxNorm) && (norm != PlasmaOneNorm) &&
(norm != PlasmaInfNorm) && (norm != PlasmaFrobeniusNorm)) {
plasma_error("illegal value of norm");
plasma_request_fail(sequence, request, PlasmaErrorIllegalValue);
return;
}
if ((uplo != PlasmaUpper) &&
(uplo != PlasmaLower)) {
plasma_error("illegal value of uplo");
plasma_request_fail(sequence, request, PlasmaErrorIllegalValue);
return;
}
if (plasma_desc_check(A) != PlasmaSuccess) {
plasma_error("invalid descriptor A");
plasma_request_fail(sequence, request, PlasmaErrorIllegalValue);
return;
}
if (sequence == NULL) {
plasma_error("NULL sequence");
plasma_request_fail(sequence, request, PlasmaErrorIllegalValue);
return;
}
if (request == NULL) {
plasma_error("NULL request");
plasma_request_fail(sequence, request, PlasmaErrorIllegalValue);
return;
}
// quick return
if (A.m == 0) {
*value = 0.0;
return;
}
// Call the parallel function.
plasma_pzlanhe(norm, uplo, A, work, value, sequence, request);
}
|
decorate.c | /*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% DDDD EEEEE CCCC OOO RRRR AAA TTTTT EEEEE %
% D D E C O O R R A A T E %
% D D EEE C O O RRRR AAAAA T EEE %
% D D E C O O R R A A T E %
% DDDD EEEEE CCCC OOO R R A A T EEEEE %
% %
% %
% MagickCore Image Decoration Methods %
% %
% Software Design %
% Cristy %
% July 1992 %
% %
% %
% Copyright 1999-2018 ImageMagick Studio LLC, a non-profit organization %
% dedicated to making software imaging solutions freely available. %
% %
% You may not use this file except in compliance with the License. You may %
% obtain a copy of the License at %
% %
% https://www.imagemagick.org/script/license.php %
% %
% Unless required by applicable law or agreed to in writing, software %
% distributed under the License is distributed on an "AS IS" BASIS, %
% WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. %
% See the License for the specific language governing permissions and %
% limitations under the License. %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
%
%
*/
/*
Include declarations.
*/
#include "magick/studio.h"
#include "magick/cache-view.h"
#include "magick/channel.h"
#include "magick/color-private.h"
#include "magick/colorspace-private.h"
#include "magick/composite.h"
#include "magick/decorate.h"
#include "magick/exception.h"
#include "magick/exception-private.h"
#include "magick/image.h"
#include "magick/memory_.h"
#include "magick/monitor.h"
#include "magick/monitor-private.h"
#include "magick/pixel-accessor.h"
#include "magick/pixel-private.h"
#include "magick/quantum.h"
#include "magick/resource_.h"
#include "magick/thread-private.h"
#include "magick/transform.h"
/*
Define declarations.
*/
#define AccentuateModulate ScaleCharToQuantum(80)
#define HighlightModulate ScaleCharToQuantum(125)
#define ShadowModulate ScaleCharToQuantum(135)
#define DepthModulate ScaleCharToQuantum(185)
#define TroughModulate ScaleCharToQuantum(110)
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% B o r d e r I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% BorderImage() surrounds the image with a border of the color defined by
% the bordercolor member of the image structure. The width and height
% of the border are defined by the corresponding members of the border_info
% structure.
%
% The format of the BorderImage method is:
%
% Image *BorderImage(const Image *image,const RectangleInfo *border_info,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o border_info: Define the width and height of the border.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *BorderImage(const Image *image,
const RectangleInfo *border_info,ExceptionInfo *exception)
{
Image
*border_image,
*clone_image;
FrameInfo
frame_info;
assert(image != (const Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(border_info != (RectangleInfo *) NULL);
frame_info.width=image->columns+(border_info->width << 1);
frame_info.height=image->rows+(border_info->height << 1);
frame_info.x=(ssize_t) border_info->width;
frame_info.y=(ssize_t) border_info->height;
frame_info.inner_bevel=0;
frame_info.outer_bevel=0;
clone_image=CloneImage(image,0,0,MagickTrue,exception);
if (clone_image == (Image *) NULL)
return((Image *) NULL);
clone_image->matte_color=image->border_color;
border_image=FrameImage(clone_image,&frame_info,exception);
clone_image=DestroyImage(clone_image);
if (border_image != (Image *) NULL)
border_image->matte_color=image->matte_color;
return(border_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% F r a m e I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% FrameImage() adds a simulated three-dimensional border around the image.
% The color of the border is defined by the matte_color member of image.
% Members width and height of frame_info specify the border width of the
% vertical and horizontal sides of the frame. Members inner and outer
% indicate the width of the inner and outer shadows of the frame.
%
% The format of the FrameImage method is:
%
% Image *FrameImage(const Image *image,const FrameInfo *frame_info,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o frame_info: Define the width and height of the frame and its bevels.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *FrameImage(const Image *image,const FrameInfo *frame_info,
ExceptionInfo *exception)
{
#define FrameImageTag "Frame/Image"
CacheView
*image_view,
*frame_view;
Image
*frame_image;
MagickBooleanType
status;
MagickOffsetType
progress;
MagickPixelPacket
accentuate,
border,
highlight,
matte,
shadow,
trough;
register ssize_t
x;
size_t
bevel_width,
height,
width;
ssize_t
y;
/*
Check frame geometry.
*/
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(frame_info != (FrameInfo *) NULL);
if ((frame_info->outer_bevel < 0) || (frame_info->inner_bevel < 0))
ThrowImageException(OptionError,"FrameIsLessThanImageSize");
bevel_width=(size_t) (frame_info->outer_bevel+frame_info->inner_bevel);
x=(ssize_t) frame_info->width-frame_info->x-bevel_width;
y=(ssize_t) frame_info->height-frame_info->y-bevel_width;
if ((x < (ssize_t) image->columns) || (y < (ssize_t) image->rows))
ThrowImageException(OptionError,"FrameIsLessThanImageSize");
/*
Initialize framed image attributes.
*/
frame_image=CloneImage(image,frame_info->width,frame_info->height,MagickTrue,
exception);
if (frame_image == (Image *) NULL)
return((Image *) NULL);
if (SetImageStorageClass(frame_image,DirectClass) == MagickFalse)
{
InheritException(exception,&frame_image->exception);
frame_image=DestroyImage(frame_image);
return((Image *) NULL);
}
if ((IsPixelGray(&frame_image->border_color) == MagickFalse) &&
(IsGrayColorspace(frame_image->colorspace) != MagickFalse))
(void) SetImageColorspace(frame_image,sRGBColorspace);
if ((frame_image->border_color.opacity != OpaqueOpacity) &&
(frame_image->matte == MagickFalse))
(void) SetImageAlphaChannel(frame_image,OpaqueAlphaChannel);
frame_image->page=image->page;
if ((image->page.width != 0) && (image->page.height != 0))
{
frame_image->page.width+=frame_image->columns-image->columns;
frame_image->page.height+=frame_image->rows-image->rows;
}
/*
Initialize 3D effects color.
*/
GetMagickPixelPacket(frame_image,&matte);
matte.colorspace=sRGBColorspace;
SetMagickPixelPacket(frame_image,&image->matte_color,(IndexPacket *) NULL,
&matte);
GetMagickPixelPacket(frame_image,&border);
border.colorspace=sRGBColorspace;
SetMagickPixelPacket(frame_image,&image->border_color,(IndexPacket *) NULL,
&border);
GetMagickPixelPacket(frame_image,&accentuate);
accentuate.red=(MagickRealType) (QuantumScale*((QuantumRange-
AccentuateModulate)*matte.red+(QuantumRange*AccentuateModulate)));
accentuate.green=(MagickRealType) (QuantumScale*((QuantumRange-
AccentuateModulate)*matte.green+(QuantumRange*AccentuateModulate)));
accentuate.blue=(MagickRealType) (QuantumScale*((QuantumRange-
AccentuateModulate)*matte.blue+(QuantumRange*AccentuateModulate)));
accentuate.opacity=matte.opacity;
GetMagickPixelPacket(frame_image,&highlight);
highlight.red=(MagickRealType) (QuantumScale*((QuantumRange-
HighlightModulate)*matte.red+(QuantumRange*HighlightModulate)));
highlight.green=(MagickRealType) (QuantumScale*((QuantumRange-
HighlightModulate)*matte.green+(QuantumRange*HighlightModulate)));
highlight.blue=(MagickRealType) (QuantumScale*((QuantumRange-
HighlightModulate)*matte.blue+(QuantumRange*HighlightModulate)));
highlight.opacity=matte.opacity;
GetMagickPixelPacket(frame_image,&shadow);
shadow.red=QuantumScale*matte.red*ShadowModulate;
shadow.green=QuantumScale*matte.green*ShadowModulate;
shadow.blue=QuantumScale*matte.blue*ShadowModulate;
shadow.opacity=matte.opacity;
GetMagickPixelPacket(frame_image,&trough);
trough.red=QuantumScale*matte.red*TroughModulate;
trough.green=QuantumScale*matte.green*TroughModulate;
trough.blue=QuantumScale*matte.blue*TroughModulate;
trough.opacity=matte.opacity;
if (image->colorspace == CMYKColorspace)
{
ConvertRGBToCMYK(&matte);
ConvertRGBToCMYK(&border);
ConvertRGBToCMYK(&accentuate);
ConvertRGBToCMYK(&highlight);
ConvertRGBToCMYK(&shadow);
ConvertRGBToCMYK(&trough);
}
status=MagickTrue;
progress=0;
image_view=AcquireVirtualCacheView(image,exception);
frame_view=AcquireAuthenticCacheView(frame_image,exception);
height=(size_t) (frame_info->outer_bevel+(frame_info->y-bevel_width)+
frame_info->inner_bevel);
if (height != 0)
{
register IndexPacket
*magick_restrict frame_indexes;
register ssize_t
x;
register PixelPacket
*magick_restrict q;
/*
Draw top of ornamental border.
*/
q=QueueCacheViewAuthenticPixels(frame_view,0,0,frame_image->columns,
height,exception);
frame_indexes=GetCacheViewAuthenticIndexQueue(frame_view);
if (q != (PixelPacket *) NULL)
{
/*
Draw top of ornamental border.
*/
for (y=0; y < (ssize_t) frame_info->outer_bevel; y++)
{
for (x=0; x < (ssize_t) (frame_image->columns-y); x++)
{
if (x < y)
SetPixelPacket(frame_image,&highlight,q,frame_indexes);
else
SetPixelPacket(frame_image,&accentuate,q,frame_indexes);
q++;
frame_indexes++;
}
for ( ; x < (ssize_t) frame_image->columns; x++)
{
SetPixelPacket(frame_image,&shadow,q,frame_indexes);
q++;
frame_indexes++;
}
}
for (y=0; y < (ssize_t) (frame_info->y-bevel_width); y++)
{
for (x=0; x < (ssize_t) frame_info->outer_bevel; x++)
{
SetPixelPacket(frame_image,&highlight,q,frame_indexes);
q++;
frame_indexes++;
}
width=frame_image->columns-2*frame_info->outer_bevel;
for (x=0; x < (ssize_t) width; x++)
{
SetPixelPacket(frame_image,&matte,q,frame_indexes);
q++;
frame_indexes++;
}
for (x=0; x < (ssize_t) frame_info->outer_bevel; x++)
{
SetPixelPacket(frame_image,&shadow,q,frame_indexes);
q++;
frame_indexes++;
}
}
for (y=0; y < (ssize_t) frame_info->inner_bevel; y++)
{
for (x=0; x < (ssize_t) frame_info->outer_bevel; x++)
{
SetPixelPacket(frame_image,&highlight,q,frame_indexes);
q++;
frame_indexes++;
}
for (x=0; x < (ssize_t) (frame_info->x-bevel_width); x++)
{
SetPixelPacket(frame_image,&matte,q,frame_indexes);
q++;
frame_indexes++;
}
width=image->columns+((size_t) frame_info->inner_bevel << 1)-
y;
for (x=0; x < (ssize_t) width; x++)
{
if (x < y)
SetPixelPacket(frame_image,&shadow,q,frame_indexes);
else
SetPixelPacket(frame_image,&trough,q,frame_indexes);
q++;
frame_indexes++;
}
for ( ; x < (ssize_t) (image->columns+2*frame_info->inner_bevel); x++)
{
SetPixelPacket(frame_image,&highlight,q,frame_indexes);
q++;
frame_indexes++;
}
width=frame_info->width-frame_info->x-image->columns-bevel_width;
for (x=0; x < (ssize_t) width; x++)
{
SetPixelPacket(frame_image,&matte,q,frame_indexes);
q++;
frame_indexes++;
}
for (x=0; x < (ssize_t) frame_info->outer_bevel; x++)
{
SetPixelPacket(frame_image,&shadow,q,frame_indexes);
q++;
frame_indexes++;
}
}
(void) SyncCacheViewAuthenticPixels(frame_view,exception);
}
}
/*
Draw sides of ornamental border.
*/
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(status) \
magick_number_threads(image,frame_image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
register IndexPacket
*magick_restrict frame_indexes;
register ssize_t
x;
register PixelPacket
*magick_restrict q;
/*
Initialize scanline with matte color.
*/
if (status == MagickFalse)
continue;
q=QueueCacheViewAuthenticPixels(frame_view,0,frame_info->y+y,
frame_image->columns,1,exception);
if (q == (PixelPacket *) NULL)
{
status=MagickFalse;
continue;
}
frame_indexes=GetCacheViewAuthenticIndexQueue(frame_view);
for (x=0; x < (ssize_t) frame_info->outer_bevel; x++)
{
SetPixelPacket(frame_image,&highlight,q,frame_indexes);
q++;
frame_indexes++;
}
for (x=0; x < (ssize_t) (frame_info->x-bevel_width); x++)
{
SetPixelPacket(frame_image,&matte,q,frame_indexes);
q++;
frame_indexes++;
}
for (x=0; x < (ssize_t) frame_info->inner_bevel; x++)
{
SetPixelPacket(frame_image,&shadow,q,frame_indexes);
q++;
frame_indexes++;
}
/*
Set frame interior pixels.
*/
for (x=0; x < (ssize_t) image->columns; x++)
{
SetPixelPacket(frame_image,&border,q,frame_indexes);
q++;
frame_indexes++;
}
for (x=0; x < (ssize_t) frame_info->inner_bevel; x++)
{
SetPixelPacket(frame_image,&highlight,q,frame_indexes);
q++;
frame_indexes++;
}
width=frame_info->width-frame_info->x-image->columns-bevel_width;
for (x=0; x < (ssize_t) width; x++)
{
SetPixelPacket(frame_image,&matte,q,frame_indexes);
q++;
frame_indexes++;
}
for (x=0; x < (ssize_t) frame_info->outer_bevel; x++)
{
SetPixelPacket(frame_image,&shadow,q,frame_indexes);
q++;
frame_indexes++;
}
if (SyncCacheViewAuthenticPixels(frame_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp critical (MagickCore_FrameImage)
#endif
proceed=SetImageProgress(image,FrameImageTag,progress++,image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
height=(size_t) (frame_info->inner_bevel+frame_info->height-
frame_info->y-image->rows-bevel_width+frame_info->outer_bevel);
if (height != 0)
{
register IndexPacket
*magick_restrict frame_indexes;
register ssize_t
x;
register PixelPacket
*magick_restrict q;
/*
Draw bottom of ornamental border.
*/
q=QueueCacheViewAuthenticPixels(frame_view,0,(ssize_t) (frame_image->rows-
height),frame_image->columns,height,exception);
if (q != (PixelPacket *) NULL)
{
/*
Draw bottom of ornamental border.
*/
frame_indexes=GetCacheViewAuthenticIndexQueue(frame_view);
for (y=frame_info->inner_bevel-1; y >= 0; y--)
{
for (x=0; x < (ssize_t) frame_info->outer_bevel; x++)
{
SetPixelPacket(frame_image,&highlight,q,frame_indexes);
q++;
frame_indexes++;
}
for (x=0; x < (ssize_t) (frame_info->x-bevel_width); x++)
{
SetPixelPacket(frame_image,&matte,q,frame_indexes);
q++;
frame_indexes++;
}
for (x=0; x < y; x++)
{
SetPixelPacket(frame_image,&shadow,q,frame_indexes);
q++;
frame_indexes++;
}
for ( ; x < (ssize_t) (image->columns+2*frame_info->inner_bevel); x++)
{
if (x >= (ssize_t) (image->columns+2*frame_info->inner_bevel-y))
SetPixelPacket(frame_image,&highlight,q,frame_indexes);
else
SetPixelPacket(frame_image,&accentuate,q,frame_indexes);
q++;
frame_indexes++;
}
width=frame_info->width-frame_info->x-image->columns-bevel_width;
for (x=0; x < (ssize_t) width; x++)
{
SetPixelPacket(frame_image,&matte,q,frame_indexes);
q++;
frame_indexes++;
}
for (x=0; x < (ssize_t) frame_info->outer_bevel; x++)
{
SetPixelPacket(frame_image,&shadow,q,frame_indexes);
q++;
frame_indexes++;
}
}
height=frame_info->height-frame_info->y-image->rows-bevel_width;
for (y=0; y < (ssize_t) height; y++)
{
for (x=0; x < (ssize_t) frame_info->outer_bevel; x++)
{
SetPixelPacket(frame_image,&highlight,q,frame_indexes);
q++;
frame_indexes++;
}
width=frame_image->columns-2*frame_info->outer_bevel;
for (x=0; x < (ssize_t) width; x++)
{
SetPixelPacket(frame_image,&matte,q,frame_indexes);
q++;
frame_indexes++;
}
for (x=0; x < (ssize_t) frame_info->outer_bevel; x++)
{
SetPixelPacket(frame_image,&shadow,q,frame_indexes);
q++;
frame_indexes++;
}
}
for (y=frame_info->outer_bevel-1; y >= 0; y--)
{
for (x=0; x < y; x++)
{
SetPixelPacket(frame_image,&highlight,q,frame_indexes);
q++;
frame_indexes++;
}
for ( ; x < (ssize_t) frame_image->columns; x++)
{
if (x >= (ssize_t) (frame_image->columns-y))
SetPixelPacket(frame_image,&shadow,q,frame_indexes);
else
SetPixelPacket(frame_image,&trough,q,frame_indexes);
q++;
frame_indexes++;
}
}
(void) SyncCacheViewAuthenticPixels(frame_view,exception);
}
}
frame_view=DestroyCacheView(frame_view);
image_view=DestroyCacheView(image_view);
x=(ssize_t) (frame_info->outer_bevel+(frame_info->x-bevel_width)+
frame_info->inner_bevel);
y=(ssize_t) (frame_info->outer_bevel+(frame_info->y-bevel_width)+
frame_info->inner_bevel);
if (status != MagickFalse)
status=CompositeImage(frame_image,image->compose,image,x,y);
if (status == MagickFalse)
frame_image=DestroyImage(frame_image);
return(frame_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% R a i s e I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% RaiseImage() creates a simulated three-dimensional button-like effect
% by lightening and darkening the edges of the image. Members width and
% height of raise_info define the width of the vertical and horizontal
% edge of the effect.
%
% The format of the RaiseImage method is:
%
% MagickBooleanType RaiseImage(const Image *image,
% const RectangleInfo *raise_info,const MagickBooleanType raise)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o raise_info: Define the width and height of the raise area.
%
% o raise: A value other than zero creates a 3-D raise effect,
% otherwise it has a lowered effect.
%
*/
MagickExport MagickBooleanType RaiseImage(Image *image,
const RectangleInfo *raise_info,const MagickBooleanType raise)
{
#define AccentuateFactor ScaleCharToQuantum(135)
#define HighlightFactor ScaleCharToQuantum(190)
#define ShadowFactor ScaleCharToQuantum(190)
#define RaiseImageTag "Raise/Image"
#define TroughFactor ScaleCharToQuantum(135)
CacheView
*image_view;
ExceptionInfo
*exception;
MagickBooleanType
status;
MagickOffsetType
progress;
Quantum
foreground,
background;
ssize_t
y;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(raise_info != (RectangleInfo *) NULL);
if ((image->columns <= (raise_info->width << 1)) ||
(image->rows <= (raise_info->height << 1)))
ThrowBinaryException(OptionError,"ImageSizeMustExceedBevelWidth",
image->filename);
foreground=QuantumRange;
background=(Quantum) 0;
if (raise == MagickFalse)
{
foreground=(Quantum) 0;
background=QuantumRange;
}
if (SetImageStorageClass(image,DirectClass) == MagickFalse)
return(MagickFalse);
/*
Raise image.
*/
status=MagickTrue;
progress=0;
exception=(&image->exception);
image_view=AcquireAuthenticCacheView(image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(status) \
magick_number_threads(image,image,raise_info->height,1)
#endif
for (y=0; y < (ssize_t) raise_info->height; y++)
{
register ssize_t
x;
register PixelPacket
*magick_restrict q;
if (status == MagickFalse)
continue;
q=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,exception);
if (q == (PixelPacket *) NULL)
{
status=MagickFalse;
continue;
}
for (x=0; x < y; x++)
{
SetPixelRed(q,ClampToQuantum(QuantumScale*((MagickRealType)
GetPixelRed(q)*HighlightFactor+(MagickRealType) foreground*
(QuantumRange-HighlightFactor))));
SetPixelGreen(q,ClampToQuantum(QuantumScale*((MagickRealType)
GetPixelGreen(q)*HighlightFactor+(MagickRealType) foreground*
(QuantumRange-HighlightFactor))));
SetPixelBlue(q,ClampToQuantum(QuantumScale*((MagickRealType)
GetPixelBlue(q)*HighlightFactor+(MagickRealType) foreground*
(QuantumRange-HighlightFactor))));
q++;
}
for ( ; x < (ssize_t) (image->columns-y); x++)
{
SetPixelRed(q,ClampToQuantum(QuantumScale*((MagickRealType)
GetPixelRed(q)*AccentuateFactor+(MagickRealType) foreground*
(QuantumRange-AccentuateFactor))));
SetPixelGreen(q,ClampToQuantum(QuantumScale*((MagickRealType)
GetPixelGreen(q)*AccentuateFactor+(MagickRealType) foreground*
(QuantumRange-AccentuateFactor))));
SetPixelBlue(q,ClampToQuantum(QuantumScale*((MagickRealType)
GetPixelBlue(q)*AccentuateFactor+(MagickRealType) foreground*
(QuantumRange-AccentuateFactor))));
q++;
}
for ( ; x < (ssize_t) image->columns; x++)
{
SetPixelRed(q,ClampToQuantum(QuantumScale*((MagickRealType)
GetPixelRed(q)*ShadowFactor+(MagickRealType) background*
(QuantumRange-ShadowFactor))));
SetPixelGreen(q,ClampToQuantum(QuantumScale*((MagickRealType)
GetPixelGreen(q)*ShadowFactor+(MagickRealType) background*
(QuantumRange-ShadowFactor))));
SetPixelBlue(q,ClampToQuantum(QuantumScale*((MagickRealType)
GetPixelBlue(q)*ShadowFactor+(MagickRealType) background*
(QuantumRange-ShadowFactor))));
q++;
}
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp critical (MagickCore_RaiseImage)
#endif
proceed=SetImageProgress(image,RaiseImageTag,progress++,image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(status) \
magick_number_threads(image,image,image->rows-2*raise_info->height,1)
#endif
for (y=(ssize_t) raise_info->height; y < (ssize_t) (image->rows-raise_info->height); y++)
{
register ssize_t
x;
register PixelPacket
*magick_restrict q;
if (status == MagickFalse)
continue;
q=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,exception);
if (q == (PixelPacket *) NULL)
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) raise_info->width; x++)
{
SetPixelRed(q,ClampToQuantum(QuantumScale*((MagickRealType)
GetPixelRed(q)*HighlightFactor+(MagickRealType) foreground*
(QuantumRange-HighlightFactor))));
SetPixelGreen(q,ClampToQuantum(QuantumScale*((MagickRealType)
GetPixelGreen(q)*HighlightFactor+(MagickRealType) foreground*
(QuantumRange-HighlightFactor))));
SetPixelBlue(q,ClampToQuantum(QuantumScale*((MagickRealType)
GetPixelBlue(q)*HighlightFactor+(MagickRealType) foreground*
(QuantumRange-HighlightFactor))));
q++;
}
for ( ; x < (ssize_t) (image->columns-raise_info->width); x++)
q++;
for ( ; x < (ssize_t) image->columns; x++)
{
SetPixelRed(q,ClampToQuantum(QuantumScale*((MagickRealType)
GetPixelRed(q)*ShadowFactor+(MagickRealType) background*
(QuantumRange-ShadowFactor))));
SetPixelGreen(q,ClampToQuantum(QuantumScale*((MagickRealType)
GetPixelGreen(q)*ShadowFactor+(MagickRealType) background*
(QuantumRange-ShadowFactor))));
SetPixelBlue(q,ClampToQuantum(QuantumScale*((MagickRealType)
GetPixelBlue(q)*ShadowFactor+(MagickRealType) background*
(QuantumRange-ShadowFactor))));
q++;
}
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp critical (MagickCore_RaiseImage)
#endif
proceed=SetImageProgress(image,RaiseImageTag,progress++,image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(status) \
magick_number_threads(image,image,image->rows-raise_info->height,1)
#endif
for (y=(ssize_t) (image->rows-raise_info->height); y < (ssize_t) image->rows; y++)
{
register ssize_t
x;
register PixelPacket
*magick_restrict q;
if (status == MagickFalse)
continue;
q=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,exception);
if (q == (PixelPacket *) NULL)
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) (image->rows-y); x++)
{
SetPixelRed(q,ClampToQuantum(QuantumScale*((MagickRealType)
GetPixelRed(q)*HighlightFactor+(MagickRealType) foreground*
(QuantumRange-HighlightFactor))));
SetPixelGreen(q,ClampToQuantum(QuantumScale*((MagickRealType)
GetPixelGreen(q)*HighlightFactor+(MagickRealType) foreground*
(QuantumRange-HighlightFactor))));
SetPixelBlue(q,ClampToQuantum(QuantumScale*((MagickRealType)
GetPixelBlue(q)*HighlightFactor+(MagickRealType) foreground*
(QuantumRange-HighlightFactor))));
q++;
}
for ( ; x < (ssize_t) (image->columns-(image->rows-y)); x++)
{
SetPixelRed(q,ClampToQuantum(QuantumScale*((MagickRealType)
GetPixelRed(q)*TroughFactor+(MagickRealType) background*
(QuantumRange-TroughFactor))));
SetPixelGreen(q,ClampToQuantum(QuantumScale*((MagickRealType)
GetPixelGreen(q)*TroughFactor+(MagickRealType) background*
(QuantumRange-TroughFactor))));
SetPixelBlue(q,ClampToQuantum(QuantumScale*((MagickRealType)
GetPixelBlue(q)*TroughFactor+(MagickRealType) background*
(QuantumRange-TroughFactor))));
q++;
}
for ( ; x < (ssize_t) image->columns; x++)
{
SetPixelRed(q,ClampToQuantum(QuantumScale*((MagickRealType)
GetPixelRed(q)*ShadowFactor+(MagickRealType) background*
(QuantumRange-ShadowFactor))));
SetPixelGreen(q,ClampToQuantum(QuantumScale*((MagickRealType)
GetPixelGreen(q)*ShadowFactor+(MagickRealType) background*
(QuantumRange-ShadowFactor))));
SetPixelBlue(q,ClampToQuantum(QuantumScale*((MagickRealType)
GetPixelBlue(q)*ShadowFactor+(MagickRealType) background*
(QuantumRange-ShadowFactor))));
q++;
}
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp critical (MagickCore_RaiseImage)
#endif
proceed=SetImageProgress(image,RaiseImageTag,progress++,image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
image_view=DestroyCacheView(image_view);
return(status);
}
|
18_omp_last_priv_nested.c | // clang-format off
// RUN: %c-to-llvm -fno-discard-value-names %omp_c_flags %s | %apply-typeart -typeart-alloca -call-filter -S 2>&1 | FileCheck %s
// RUN: %c-to-llvm -fno-discard-value-names %omp_c_flags %s | %apply-typeart -typeart-alloca -call-filter -S | FileCheck %s --check-prefix=check-inst
// REQUIRES: openmp
// clang-format on
// NOTE: This test has limited applicability in this scenario:
// lastprivate(x) copies address used in the MPI_send, and subsequently copies the result back to "x*".
// The data flow tracker detects only the usage of the copy in the context of MPI (see "foo() and func(...)")
// NOTE 2: with optimization the parameter "x" of MPI_Send mock call in the parallel loop gets "undef"
#include "omp.h"
extern void MPI_Send(void*, int);
void func(int* x, int* e) {
// lastprivate - addr(!) value of x is copied to "private_val" (which is tracked) in outlined region
// , and "int x=1;" is thus not tracked.
// check-inst: define {{.*}} @func
// check-inst: define {{.*}} @.omp_outlined
// check-inst: call void @__typeart_alloc_stack_omp(i8* %0, i32 10, i64 1)
#pragma omp parallel for lastprivate(x), shared(e)
for (int i = 0; i < 10; ++i) {
// Analysis should not filter x, but e...
MPI_Send((void*)x, *e);
}
}
void foo() {
// check-inst: define {{.*}} @foo
// check-inst-NOT: call void @__typeart_alloc_stack
int x = 1;
int y = 2;
#pragma omp parallel
{ func(&x, &y); }
}
void func_other(int* x, int* e) {
// lastprivate - addr(!) value of x is copied to "private_val" (which is tracked) in outlined region
// check-inst: define {{.*}} @func_other
// check-inst: define {{.*}} @.omp_outlined
// check-inst: call void @__typeart_alloc_stack_omp(i8* %0, i32 10, i64 1)
#pragma omp parallel for lastprivate(x), shared(e)
for (int i = 0; i < 10; ++i) {
// Analysis should not filter x, but e...
MPI_Send(x, *e);
}
MPI_Send(x, *e);
}
void bar(int x_other) {
// check-inst: define {{.*}} @bar
// check-inst: call void @__typeart_alloc_stack(i8* %0, i32 2, i64 1)
int x = x_other;
int y = 2;
#pragma omp parallel
{ func_other(&x, &y); }
}
// CHECK: TypeArtPass [Heap & Stack]
// CHECK-NEXT: Malloc : 0
// CHECK-NEXT: Free : 0
// CHECK-NEXT: Alloca : 3
// CHECK-NEXT: Global : 0
|
ast-dump-openmp-teams-distribute-simd.c | // RUN: %clang_cc1 -triple x86_64-unknown-unknown -fopenmp -ast-dump %s | FileCheck --match-full-lines -implicit-check-not=openmp_structured_block %s
void test_one(int x) {
#pragma omp target
#pragma omp teams distribute simd
for (int i = 0; i < x; i++)
;
}
void test_two(int x, int y) {
#pragma omp target
#pragma omp teams distribute simd
for (int i = 0; i < x; i++)
for (int i = 0; i < y; i++)
;
}
void test_three(int x, int y) {
#pragma omp target
#pragma omp teams distribute simd collapse(1)
for (int i = 0; i < x; i++)
for (int i = 0; i < y; i++)
;
}
void test_four(int x, int y) {
#pragma omp target
#pragma omp teams distribute simd collapse(2)
for (int i = 0; i < x; i++)
for (int i = 0; i < y; i++)
;
}
void test_five(int x, int y, int z) {
#pragma omp target
#pragma omp teams distribute simd collapse(2)
for (int i = 0; i < x; i++)
for (int i = 0; i < y; i++)
for (int i = 0; i < z; i++)
;
}
// CHECK: TranslationUnitDecl {{.*}} <<invalid sloc>> <invalid sloc>
// CHECK: |-FunctionDecl {{.*}} <{{.*}}ast-dump-openmp-teams-distribute-simd.c:3:1, line:8:1> line:3:6 test_one 'void (int)'
// CHECK-NEXT: | |-ParmVarDecl {{.*}} <col:15, col:19> col:19 used x 'int'
// CHECK-NEXT: | `-CompoundStmt {{.*}} <col:22, line:8:1>
// CHECK-NEXT: | `-OMPTargetDirective {{.*}} <line:4:1, col:19>
// CHECK-NEXT: | |-OMPFirstprivateClause {{.*}} <<invalid sloc>> <implicit>
// CHECK-NEXT: | | `-DeclRefExpr {{.*}} <line:6:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | `-CapturedStmt {{.*}} <line:5:1, col:34>
// CHECK-NEXT: | |-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | |-CapturedStmt {{.*}} <col:1, col:34>
// CHECK-NEXT: | | | |-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | | |-OMPTeamsDistributeSimdDirective {{.*}} <col:1, col:34>
// CHECK-NEXT: | | | | | `-CapturedStmt {{.*}} <line:6:3, line:7:5>
// CHECK-NEXT: | | | | | |-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | | | | |-ForStmt {{.*}} <line:6:3, line:7:5>
// CHECK-NEXT: | | | | | | | |-DeclStmt {{.*}} <line:6:8, col:17>
// CHECK-NEXT: | | | | | | | | `-VarDecl {{.*}} <col:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | | | |-BinaryOperator {{.*}} <col:19, col:23> 'int' '<'
// CHECK-NEXT: | | | | | | | | |-ImplicitCastExpr {{.*}} <col:19> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | | `-DeclRefExpr {{.*}} <col:19> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | | `-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | | | | |-UnaryOperator {{.*}} <col:26, col:27> 'int' postfix '++'
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:26> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | `-NullStmt {{.*}} <line:7:5>
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <line:5:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (anonymous at {{.*}}ast-dump-openmp-teams-distribute-simd.c:5:1) *const restrict'
// CHECK-NEXT: | | | | | | `-VarDecl {{.*}} <line:6:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <line:4:1> col:1 implicit __context 'struct (anonymous at {{.*}}ast-dump-openmp-teams-distribute-simd.c:4:1) *const restrict'
// CHECK-NEXT: | | | | |-RecordDecl {{.*}} <line:5:1> col:1 implicit struct definition
// CHECK-NEXT: | | | | | |-CapturedRecordAttr {{.*}} <<invalid sloc>> Implicit
// CHECK-NEXT: | | | | | `-FieldDecl {{.*}} <line:6:23> col:23 implicit 'int &'
// CHECK-NEXT: | | | | |-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | | | |-ForStmt {{.*}} <col:3, line:7:5>
// CHECK-NEXT: | | | | | | |-DeclStmt {{.*}} <line:6:8, col:17>
// CHECK-NEXT: | | | | | | | `-VarDecl {{.*}} <col:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | | |-BinaryOperator {{.*}} <col:19, col:23> 'int' '<'
// CHECK-NEXT: | | | | | | | |-ImplicitCastExpr {{.*}} <col:19> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:19> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | `-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | | | |-UnaryOperator {{.*}} <col:26, col:27> 'int' postfix '++'
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:26> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | `-NullStmt {{.*}} <line:7:5>
// CHECK-NEXT: | | | | | |-ImplicitParamDecl {{.*}} <line:5:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (anonymous at {{.*}}ast-dump-openmp-teams-distribute-simd.c:5:1) *const restrict'
// CHECK-NEXT: | | | | | `-VarDecl {{.*}} <line:6:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | |-OMPCapturedExprDecl {{.*}} <col:23> col:23 implicit used .capture_expr. 'int'
// CHECK-NEXT: | | | | | `-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | `-OMPCapturedExprDecl {{.*}} <col:3, <invalid sloc>> col:3 implicit used .capture_expr. 'int'
// CHECK-NEXT: | | | | `-BinaryOperator {{.*}} <col:3, <invalid sloc>> 'int' '-'
// CHECK-NEXT: | | | | |-BinaryOperator {{.*}} <col:3, col:26> 'int' '/'
// CHECK-NEXT: | | | | | |-ParenExpr {{.*}} <col:3> 'int'
// CHECK-NEXT: | | | | | | `-BinaryOperator {{.*}} <col:23, col:3> 'int' '-'
// CHECK-NEXT: | | | | | | |-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue OMPCapturedExpr {{.*}} '.capture_expr.' 'int'
// CHECK-NEXT: | | | | | | `-ParenExpr {{.*}} <col:3> 'int'
// CHECK-NEXT: | | | | | | `-BinaryOperator {{.*}} <col:16, <invalid sloc>> 'int' '+'
// CHECK-NEXT: | | | | | | |-BinaryOperator {{.*}} <col:16, col:26> 'int' '-'
// CHECK-NEXT: | | | | | | | |-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | | | `-IntegerLiteral {{.*}} <col:26> 'int' 1
// CHECK-NEXT: | | | | | | `-IntegerLiteral {{.*}} <<invalid sloc>> 'int' 1
// CHECK-NEXT: | | | | | `-IntegerLiteral {{.*}} <col:26> 'int' 1
// CHECK-NEXT: | | | | `-IntegerLiteral {{.*}} <<invalid sloc>> 'int' 1
// CHECK-NEXT: | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | |-AlwaysInlineAttr {{.*}} <<invalid sloc>> Implicit __forceinline
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <line:4:1> col:1 implicit .global_tid. 'const int'
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .part_id. 'const int *const restrict'
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .privates. 'void *const restrict'
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .copy_fn. 'void (*const restrict)(void *const restrict, ...)'
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .task_t. 'void *const'
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (anonymous at {{.*}}ast-dump-openmp-teams-distribute-simd.c:4:1) *const restrict'
// CHECK-NEXT: | | |-RecordDecl {{.*}} <col:1> col:1 implicit struct definition
// CHECK-NEXT: | | | |-CapturedRecordAttr {{.*}} <<invalid sloc>> Implicit
// CHECK-NEXT: | | | `-FieldDecl {{.*}} <line:6:23> col:23 implicit 'int'
// CHECK-NEXT: | | | `-OMPCaptureKindAttr {{.*}} <<invalid sloc>> Implicit {{.*}}
// CHECK-NEXT: | | `-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | |-OMPTeamsDistributeSimdDirective {{.*}} <line:5:1, col:34>
// CHECK-NEXT: | | | `-CapturedStmt {{.*}} <line:6:3, line:7:5>
// CHECK-NEXT: | | | |-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | | |-ForStmt {{.*}} <line:6:3, line:7:5>
// CHECK-NEXT: | | | | | |-DeclStmt {{.*}} <line:6:8, col:17>
// CHECK-NEXT: | | | | | | `-VarDecl {{.*}} <col:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | |-BinaryOperator {{.*}} <col:19, col:23> 'int' '<'
// CHECK-NEXT: | | | | | | |-ImplicitCastExpr {{.*}} <col:19> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:19> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | `-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | | |-UnaryOperator {{.*}} <col:26, col:27> 'int' postfix '++'
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:26> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | `-NullStmt {{.*}} <line:7:5>
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <line:5:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (anonymous at {{.*}}ast-dump-openmp-teams-distribute-simd.c:5:1) *const restrict'
// CHECK-NEXT: | | | | `-VarDecl {{.*}} <line:6:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <line:4:1> col:1 implicit __context 'struct (anonymous at {{.*}}ast-dump-openmp-teams-distribute-simd.c:4:1) *const restrict'
// CHECK-NEXT: | | |-RecordDecl {{.*}} <line:5:1> col:1 implicit struct definition
// CHECK-NEXT: | | | |-CapturedRecordAttr {{.*}} <<invalid sloc>> Implicit
// CHECK-NEXT: | | | `-FieldDecl {{.*}} <line:6:23> col:23 implicit 'int &'
// CHECK-NEXT: | | |-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | |-ForStmt {{.*}} <col:3, line:7:5>
// CHECK-NEXT: | | | | |-DeclStmt {{.*}} <line:6:8, col:17>
// CHECK-NEXT: | | | | | `-VarDecl {{.*}} <col:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | |-BinaryOperator {{.*}} <col:19, col:23> 'int' '<'
// CHECK-NEXT: | | | | | |-ImplicitCastExpr {{.*}} <col:19> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:19> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | `-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | |-UnaryOperator {{.*}} <col:26, col:27> 'int' postfix '++'
// CHECK-NEXT: | | | | | `-DeclRefExpr {{.*}} <col:26> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | `-NullStmt {{.*}} <line:7:5>
// CHECK-NEXT: | | | |-ImplicitParamDecl {{.*}} <line:5:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (anonymous at {{.*}}ast-dump-openmp-teams-distribute-simd.c:5:1) *const restrict'
// CHECK-NEXT: | | | `-VarDecl {{.*}} <line:6:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | |-OMPCapturedExprDecl {{.*}} <col:23> col:23 implicit used .capture_expr. 'int'
// CHECK-NEXT: | | | `-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | `-OMPCapturedExprDecl {{.*}} <col:3, <invalid sloc>> col:3 implicit used .capture_expr. 'int'
// CHECK-NEXT: | | `-BinaryOperator {{.*}} <col:3, <invalid sloc>> 'int' '-'
// CHECK-NEXT: | | |-BinaryOperator {{.*}} <col:3, col:26> 'int' '/'
// CHECK-NEXT: | | | |-ParenExpr {{.*}} <col:3> 'int'
// CHECK-NEXT: | | | | `-BinaryOperator {{.*}} <col:23, col:3> 'int' '-'
// CHECK-NEXT: | | | | |-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue OMPCapturedExpr {{.*}} '.capture_expr.' 'int'
// CHECK-NEXT: | | | | `-ParenExpr {{.*}} <col:3> 'int'
// CHECK-NEXT: | | | | `-BinaryOperator {{.*}} <col:16, <invalid sloc>> 'int' '+'
// CHECK-NEXT: | | | | |-BinaryOperator {{.*}} <col:16, col:26> 'int' '-'
// CHECK-NEXT: | | | | | |-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | `-IntegerLiteral {{.*}} <col:26> 'int' 1
// CHECK-NEXT: | | | | `-IntegerLiteral {{.*}} <<invalid sloc>> 'int' 1
// CHECK-NEXT: | | | `-IntegerLiteral {{.*}} <col:26> 'int' 1
// CHECK-NEXT: | | `-IntegerLiteral {{.*}} <<invalid sloc>> 'int' 1
// CHECK-NEXT: | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: |-FunctionDecl {{.*}} <line:10:1, line:16:1> line:10:6 test_two 'void (int, int)'
// CHECK-NEXT: | |-ParmVarDecl {{.*}} <col:15, col:19> col:19 used x 'int'
// CHECK-NEXT: | |-ParmVarDecl {{.*}} <col:22, col:26> col:26 used y 'int'
// CHECK-NEXT: | `-CompoundStmt {{.*}} <col:29, line:16:1>
// CHECK-NEXT: | `-OMPTargetDirective {{.*}} <line:11:1, col:19>
// CHECK-NEXT: | |-OMPFirstprivateClause {{.*}} <<invalid sloc>> <implicit>
// CHECK-NEXT: | | |-DeclRefExpr {{.*}} <line:13:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | `-DeclRefExpr {{.*}} <line:14:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | `-CapturedStmt {{.*}} <line:12:1, col:34>
// CHECK-NEXT: | |-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | |-CapturedStmt {{.*}} <col:1, col:34>
// CHECK-NEXT: | | | |-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | | |-OMPTeamsDistributeSimdDirective {{.*}} <col:1, col:34>
// CHECK-NEXT: | | | | | `-CapturedStmt {{.*}} <line:13:3, line:15:7>
// CHECK-NEXT: | | | | | |-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | | | | |-ForStmt {{.*}} <line:13:3, line:15:7>
// CHECK-NEXT: | | | | | | | |-DeclStmt {{.*}} <line:13:8, col:17>
// CHECK-NEXT: | | | | | | | | `-VarDecl {{.*}} <col:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | | | |-BinaryOperator {{.*}} <col:19, col:23> 'int' '<'
// CHECK-NEXT: | | | | | | | | |-ImplicitCastExpr {{.*}} <col:19> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | | `-DeclRefExpr {{.*}} <col:19> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | | `-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | | | | |-UnaryOperator {{.*}} <col:26, col:27> 'int' postfix '++'
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:26> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | `-ForStmt {{.*}} <line:14:5, line:15:7>
// CHECK-NEXT: | | | | | | | |-DeclStmt {{.*}} <line:14:10, col:19>
// CHECK-NEXT: | | | | | | | | `-VarDecl {{.*}} <col:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | | | |-BinaryOperator {{.*}} <col:21, col:25> 'int' '<'
// CHECK-NEXT: | | | | | | | | |-ImplicitCastExpr {{.*}} <col:21> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | | `-DeclRefExpr {{.*}} <col:21> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | | `-ImplicitCastExpr {{.*}} <col:25> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | | | | | |-UnaryOperator {{.*}} <col:28, col:29> 'int' postfix '++'
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:28> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | `-NullStmt {{.*}} <line:15:7>
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <line:12:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (anonymous at {{.*}}ast-dump-openmp-teams-distribute-simd.c:12:1) *const restrict'
// CHECK-NEXT: | | | | | | |-VarDecl {{.*}} <line:13:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | | `-VarDecl {{.*}} <line:14:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | | |-DeclRefExpr {{.*}} <line:13:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | | `-DeclRefExpr {{.*}} <line:14:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <line:11:1> col:1 implicit __context 'struct (anonymous at {{.*}}ast-dump-openmp-teams-distribute-simd.c:11:1) *const restrict'
// CHECK-NEXT: | | | | |-RecordDecl {{.*}} <line:12:1> col:1 implicit struct definition
// CHECK-NEXT: | | | | | |-CapturedRecordAttr {{.*}} <<invalid sloc>> Implicit
// CHECK-NEXT: | | | | | |-FieldDecl {{.*}} <line:13:23> col:23 implicit 'int &'
// CHECK-NEXT: | | | | | `-FieldDecl {{.*}} <line:14:25> col:25 implicit 'int &'
// CHECK-NEXT: | | | | |-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | | | |-ForStmt {{.*}} <line:13:3, line:15:7>
// CHECK-NEXT: | | | | | | |-DeclStmt {{.*}} <line:13:8, col:17>
// CHECK-NEXT: | | | | | | | `-VarDecl {{.*}} <col:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | | |-BinaryOperator {{.*}} <col:19, col:23> 'int' '<'
// CHECK-NEXT: | | | | | | | |-ImplicitCastExpr {{.*}} <col:19> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:19> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | `-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | | | |-UnaryOperator {{.*}} <col:26, col:27> 'int' postfix '++'
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:26> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | `-ForStmt {{.*}} <line:14:5, line:15:7>
// CHECK-NEXT: | | | | | | |-DeclStmt {{.*}} <line:14:10, col:19>
// CHECK-NEXT: | | | | | | | `-VarDecl {{.*}} <col:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | | |-BinaryOperator {{.*}} <col:21, col:25> 'int' '<'
// CHECK-NEXT: | | | | | | | |-ImplicitCastExpr {{.*}} <col:21> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:21> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | `-ImplicitCastExpr {{.*}} <col:25> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | | | | |-UnaryOperator {{.*}} <col:28, col:29> 'int' postfix '++'
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:28> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | `-NullStmt {{.*}} <line:15:7>
// CHECK-NEXT: | | | | | |-ImplicitParamDecl {{.*}} <line:12:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (anonymous at {{.*}}ast-dump-openmp-teams-distribute-simd.c:12:1) *const restrict'
// CHECK-NEXT: | | | | | |-VarDecl {{.*}} <line:13:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | `-VarDecl {{.*}} <line:14:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | |-OMPCapturedExprDecl {{.*}} <line:13:23> col:23 implicit used .capture_expr. 'int'
// CHECK-NEXT: | | | | | `-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | `-OMPCapturedExprDecl {{.*}} <col:3, <invalid sloc>> col:3 implicit used .capture_expr. 'int'
// CHECK-NEXT: | | | | `-BinaryOperator {{.*}} <col:3, <invalid sloc>> 'int' '-'
// CHECK-NEXT: | | | | |-BinaryOperator {{.*}} <col:3, col:26> 'int' '/'
// CHECK-NEXT: | | | | | |-ParenExpr {{.*}} <col:3> 'int'
// CHECK-NEXT: | | | | | | `-BinaryOperator {{.*}} <col:23, col:3> 'int' '-'
// CHECK-NEXT: | | | | | | |-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue OMPCapturedExpr {{.*}} '.capture_expr.' 'int'
// CHECK-NEXT: | | | | | | `-ParenExpr {{.*}} <col:3> 'int'
// CHECK-NEXT: | | | | | | `-BinaryOperator {{.*}} <col:16, <invalid sloc>> 'int' '+'
// CHECK-NEXT: | | | | | | |-BinaryOperator {{.*}} <col:16, col:26> 'int' '-'
// CHECK-NEXT: | | | | | | | |-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | | | `-IntegerLiteral {{.*}} <col:26> 'int' 1
// CHECK-NEXT: | | | | | | `-IntegerLiteral {{.*}} <<invalid sloc>> 'int' 1
// CHECK-NEXT: | | | | | `-IntegerLiteral {{.*}} <col:26> 'int' 1
// CHECK-NEXT: | | | | `-IntegerLiteral {{.*}} <<invalid sloc>> 'int' 1
// CHECK-NEXT: | | | |-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | `-DeclRefExpr {{.*}} <line:14:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | |-AlwaysInlineAttr {{.*}} <<invalid sloc>> Implicit __forceinline
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <line:11:1> col:1 implicit .global_tid. 'const int'
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .part_id. 'const int *const restrict'
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .privates. 'void *const restrict'
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .copy_fn. 'void (*const restrict)(void *const restrict, ...)'
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .task_t. 'void *const'
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (anonymous at {{.*}}ast-dump-openmp-teams-distribute-simd.c:11:1) *const restrict'
// CHECK-NEXT: | | |-RecordDecl {{.*}} <col:1> col:1 implicit struct definition
// CHECK-NEXT: | | | |-CapturedRecordAttr {{.*}} <<invalid sloc>> Implicit
// CHECK-NEXT: | | | |-FieldDecl {{.*}} <line:13:23> col:23 implicit 'int'
// CHECK-NEXT: | | | | `-OMPCaptureKindAttr {{.*}} <<invalid sloc>> Implicit {{.*}}
// CHECK-NEXT: | | | `-FieldDecl {{.*}} <line:14:25> col:25 implicit 'int'
// CHECK-NEXT: | | | `-OMPCaptureKindAttr {{.*}} <<invalid sloc>> Implicit {{.*}}
// CHECK-NEXT: | | `-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | |-OMPTeamsDistributeSimdDirective {{.*}} <line:12:1, col:34>
// CHECK-NEXT: | | | `-CapturedStmt {{.*}} <line:13:3, line:15:7>
// CHECK-NEXT: | | | |-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | | |-ForStmt {{.*}} <line:13:3, line:15:7>
// CHECK-NEXT: | | | | | |-DeclStmt {{.*}} <line:13:8, col:17>
// CHECK-NEXT: | | | | | | `-VarDecl {{.*}} <col:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | |-BinaryOperator {{.*}} <col:19, col:23> 'int' '<'
// CHECK-NEXT: | | | | | | |-ImplicitCastExpr {{.*}} <col:19> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:19> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | `-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | | |-UnaryOperator {{.*}} <col:26, col:27> 'int' postfix '++'
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:26> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | `-ForStmt {{.*}} <line:14:5, line:15:7>
// CHECK-NEXT: | | | | | |-DeclStmt {{.*}} <line:14:10, col:19>
// CHECK-NEXT: | | | | | | `-VarDecl {{.*}} <col:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | |-BinaryOperator {{.*}} <col:21, col:25> 'int' '<'
// CHECK-NEXT: | | | | | | |-ImplicitCastExpr {{.*}} <col:21> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:21> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | `-ImplicitCastExpr {{.*}} <col:25> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | | | |-UnaryOperator {{.*}} <col:28, col:29> 'int' postfix '++'
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:28> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | `-NullStmt {{.*}} <line:15:7>
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <line:12:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (anonymous at {{.*}}ast-dump-openmp-teams-distribute-simd.c:12:1) *const restrict'
// CHECK-NEXT: | | | | |-VarDecl {{.*}} <line:13:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | `-VarDecl {{.*}} <line:14:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | |-DeclRefExpr {{.*}} <line:13:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | `-DeclRefExpr {{.*}} <line:14:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <line:11:1> col:1 implicit __context 'struct (anonymous at {{.*}}ast-dump-openmp-teams-distribute-simd.c:11:1) *const restrict'
// CHECK-NEXT: | | |-RecordDecl {{.*}} <line:12:1> col:1 implicit struct definition
// CHECK-NEXT: | | | |-CapturedRecordAttr {{.*}} <<invalid sloc>> Implicit
// CHECK-NEXT: | | | |-FieldDecl {{.*}} <line:13:23> col:23 implicit 'int &'
// CHECK-NEXT: | | | `-FieldDecl {{.*}} <line:14:25> col:25 implicit 'int &'
// CHECK-NEXT: | | |-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | |-ForStmt {{.*}} <line:13:3, line:15:7>
// CHECK-NEXT: | | | | |-DeclStmt {{.*}} <line:13:8, col:17>
// CHECK-NEXT: | | | | | `-VarDecl {{.*}} <col:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | |-BinaryOperator {{.*}} <col:19, col:23> 'int' '<'
// CHECK-NEXT: | | | | | |-ImplicitCastExpr {{.*}} <col:19> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:19> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | `-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | |-UnaryOperator {{.*}} <col:26, col:27> 'int' postfix '++'
// CHECK-NEXT: | | | | | `-DeclRefExpr {{.*}} <col:26> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | `-ForStmt {{.*}} <line:14:5, line:15:7>
// CHECK-NEXT: | | | | |-DeclStmt {{.*}} <line:14:10, col:19>
// CHECK-NEXT: | | | | | `-VarDecl {{.*}} <col:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | |-BinaryOperator {{.*}} <col:21, col:25> 'int' '<'
// CHECK-NEXT: | | | | | |-ImplicitCastExpr {{.*}} <col:21> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:21> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | `-ImplicitCastExpr {{.*}} <col:25> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | `-DeclRefExpr {{.*}} <col:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | | |-UnaryOperator {{.*}} <col:28, col:29> 'int' postfix '++'
// CHECK-NEXT: | | | | | `-DeclRefExpr {{.*}} <col:28> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | `-NullStmt {{.*}} <line:15:7>
// CHECK-NEXT: | | | |-ImplicitParamDecl {{.*}} <line:12:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (anonymous at {{.*}}ast-dump-openmp-teams-distribute-simd.c:12:1) *const restrict'
// CHECK-NEXT: | | | |-VarDecl {{.*}} <line:13:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | `-VarDecl {{.*}} <line:14:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | |-OMPCapturedExprDecl {{.*}} <line:13:23> col:23 implicit used .capture_expr. 'int'
// CHECK-NEXT: | | | `-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | `-OMPCapturedExprDecl {{.*}} <col:3, <invalid sloc>> col:3 implicit used .capture_expr. 'int'
// CHECK-NEXT: | | `-BinaryOperator {{.*}} <col:3, <invalid sloc>> 'int' '-'
// CHECK-NEXT: | | |-BinaryOperator {{.*}} <col:3, col:26> 'int' '/'
// CHECK-NEXT: | | | |-ParenExpr {{.*}} <col:3> 'int'
// CHECK-NEXT: | | | | `-BinaryOperator {{.*}} <col:23, col:3> 'int' '-'
// CHECK-NEXT: | | | | |-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue OMPCapturedExpr {{.*}} '.capture_expr.' 'int'
// CHECK-NEXT: | | | | `-ParenExpr {{.*}} <col:3> 'int'
// CHECK-NEXT: | | | | `-BinaryOperator {{.*}} <col:16, <invalid sloc>> 'int' '+'
// CHECK-NEXT: | | | | |-BinaryOperator {{.*}} <col:16, col:26> 'int' '-'
// CHECK-NEXT: | | | | | |-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | `-IntegerLiteral {{.*}} <col:26> 'int' 1
// CHECK-NEXT: | | | | `-IntegerLiteral {{.*}} <<invalid sloc>> 'int' 1
// CHECK-NEXT: | | | `-IntegerLiteral {{.*}} <col:26> 'int' 1
// CHECK-NEXT: | | `-IntegerLiteral {{.*}} <<invalid sloc>> 'int' 1
// CHECK-NEXT: | |-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | `-DeclRefExpr {{.*}} <line:14:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: |-FunctionDecl {{.*}} <line:18:1, line:24:1> line:18:6 test_three 'void (int, int)'
// CHECK-NEXT: | |-ParmVarDecl {{.*}} <col:17, col:21> col:21 used x 'int'
// CHECK-NEXT: | |-ParmVarDecl {{.*}} <col:24, col:28> col:28 used y 'int'
// CHECK-NEXT: | `-CompoundStmt {{.*}} <col:31, line:24:1>
// CHECK-NEXT: | `-OMPTargetDirective {{.*}} <line:19:1, col:19>
// CHECK-NEXT: | |-OMPFirstprivateClause {{.*}} <<invalid sloc>> <implicit>
// CHECK-NEXT: | | |-DeclRefExpr {{.*}} <line:21:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | `-DeclRefExpr {{.*}} <line:22:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | `-CapturedStmt {{.*}} <line:20:1, col:46>
// CHECK-NEXT: | |-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | |-CapturedStmt {{.*}} <col:1, col:46>
// CHECK-NEXT: | | | |-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | | |-OMPTeamsDistributeSimdDirective {{.*}} <col:1, col:46>
// CHECK-NEXT: | | | | | |-OMPCollapseClause {{.*}} <col:35, col:45>
// CHECK-NEXT: | | | | | | `-ConstantExpr {{.*}} <col:44> 'int'
// CHECK-NEXT: | | | | | | |-value: Int 1
// CHECK-NEXT: | | | | | | `-IntegerLiteral {{.*}} <col:44> 'int' 1
// CHECK-NEXT: | | | | | `-CapturedStmt {{.*}} <line:21:3, line:23:7>
// CHECK-NEXT: | | | | | |-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | | | | |-ForStmt {{.*}} <line:21:3, line:23:7>
// CHECK-NEXT: | | | | | | | |-DeclStmt {{.*}} <line:21:8, col:17>
// CHECK-NEXT: | | | | | | | | `-VarDecl {{.*}} <col:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | | | |-BinaryOperator {{.*}} <col:19, col:23> 'int' '<'
// CHECK-NEXT: | | | | | | | | |-ImplicitCastExpr {{.*}} <col:19> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | | `-DeclRefExpr {{.*}} <col:19> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | | `-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | | | | |-UnaryOperator {{.*}} <col:26, col:27> 'int' postfix '++'
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:26> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | `-ForStmt {{.*}} <line:22:5, line:23:7>
// CHECK-NEXT: | | | | | | | |-DeclStmt {{.*}} <line:22:10, col:19>
// CHECK-NEXT: | | | | | | | | `-VarDecl {{.*}} <col:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | | | |-BinaryOperator {{.*}} <col:21, col:25> 'int' '<'
// CHECK-NEXT: | | | | | | | | |-ImplicitCastExpr {{.*}} <col:21> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | | `-DeclRefExpr {{.*}} <col:21> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | | `-ImplicitCastExpr {{.*}} <col:25> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | | | | | |-UnaryOperator {{.*}} <col:28, col:29> 'int' postfix '++'
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:28> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | `-NullStmt {{.*}} <line:23:7>
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <line:20:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (anonymous at {{.*}}ast-dump-openmp-teams-distribute-simd.c:20:1) *const restrict'
// CHECK-NEXT: | | | | | | |-VarDecl {{.*}} <line:21:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | | `-VarDecl {{.*}} <line:22:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | | |-DeclRefExpr {{.*}} <line:21:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | | `-DeclRefExpr {{.*}} <line:22:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <line:19:1> col:1 implicit __context 'struct (anonymous at {{.*}}ast-dump-openmp-teams-distribute-simd.c:19:1) *const restrict'
// CHECK-NEXT: | | | | |-RecordDecl {{.*}} <line:20:1> col:1 implicit struct definition
// CHECK-NEXT: | | | | | |-CapturedRecordAttr {{.*}} <<invalid sloc>> Implicit
// CHECK-NEXT: | | | | | |-FieldDecl {{.*}} <line:21:23> col:23 implicit 'int &'
// CHECK-NEXT: | | | | | `-FieldDecl {{.*}} <line:22:25> col:25 implicit 'int &'
// CHECK-NEXT: | | | | |-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | | | |-ForStmt {{.*}} <line:21:3, line:23:7>
// CHECK-NEXT: | | | | | | |-DeclStmt {{.*}} <line:21:8, col:17>
// CHECK-NEXT: | | | | | | | `-VarDecl {{.*}} <col:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | | |-BinaryOperator {{.*}} <col:19, col:23> 'int' '<'
// CHECK-NEXT: | | | | | | | |-ImplicitCastExpr {{.*}} <col:19> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:19> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | `-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | | | |-UnaryOperator {{.*}} <col:26, col:27> 'int' postfix '++'
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:26> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | `-ForStmt {{.*}} <line:22:5, line:23:7>
// CHECK-NEXT: | | | | | | |-DeclStmt {{.*}} <line:22:10, col:19>
// CHECK-NEXT: | | | | | | | `-VarDecl {{.*}} <col:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | | |-BinaryOperator {{.*}} <col:21, col:25> 'int' '<'
// CHECK-NEXT: | | | | | | | |-ImplicitCastExpr {{.*}} <col:21> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:21> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | `-ImplicitCastExpr {{.*}} <col:25> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | | | | |-UnaryOperator {{.*}} <col:28, col:29> 'int' postfix '++'
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:28> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | `-NullStmt {{.*}} <line:23:7>
// CHECK-NEXT: | | | | | |-ImplicitParamDecl {{.*}} <line:20:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (anonymous at {{.*}}ast-dump-openmp-teams-distribute-simd.c:20:1) *const restrict'
// CHECK-NEXT: | | | | | |-VarDecl {{.*}} <line:21:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | `-VarDecl {{.*}} <line:22:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | |-OMPCapturedExprDecl {{.*}} <line:21:23> col:23 implicit used .capture_expr. 'int'
// CHECK-NEXT: | | | | | `-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | `-OMPCapturedExprDecl {{.*}} <col:3, <invalid sloc>> col:3 implicit used .capture_expr. 'int'
// CHECK-NEXT: | | | | `-BinaryOperator {{.*}} <col:3, <invalid sloc>> 'int' '-'
// CHECK-NEXT: | | | | |-BinaryOperator {{.*}} <col:3, col:26> 'int' '/'
// CHECK-NEXT: | | | | | |-ParenExpr {{.*}} <col:3> 'int'
// CHECK-NEXT: | | | | | | `-BinaryOperator {{.*}} <col:23, col:3> 'int' '-'
// CHECK-NEXT: | | | | | | |-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue OMPCapturedExpr {{.*}} '.capture_expr.' 'int'
// CHECK-NEXT: | | | | | | `-ParenExpr {{.*}} <col:3> 'int'
// CHECK-NEXT: | | | | | | `-BinaryOperator {{.*}} <col:16, <invalid sloc>> 'int' '+'
// CHECK-NEXT: | | | | | | |-BinaryOperator {{.*}} <col:16, col:26> 'int' '-'
// CHECK-NEXT: | | | | | | | |-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | | | `-IntegerLiteral {{.*}} <col:26> 'int' 1
// CHECK-NEXT: | | | | | | `-IntegerLiteral {{.*}} <<invalid sloc>> 'int' 1
// CHECK-NEXT: | | | | | `-IntegerLiteral {{.*}} <col:26> 'int' 1
// CHECK-NEXT: | | | | `-IntegerLiteral {{.*}} <<invalid sloc>> 'int' 1
// CHECK-NEXT: | | | |-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | `-DeclRefExpr {{.*}} <line:22:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | |-AlwaysInlineAttr {{.*}} <<invalid sloc>> Implicit __forceinline
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <line:19:1> col:1 implicit .global_tid. 'const int'
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .part_id. 'const int *const restrict'
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .privates. 'void *const restrict'
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .copy_fn. 'void (*const restrict)(void *const restrict, ...)'
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .task_t. 'void *const'
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (anonymous at {{.*}}ast-dump-openmp-teams-distribute-simd.c:19:1) *const restrict'
// CHECK-NEXT: | | |-RecordDecl {{.*}} <col:1> col:1 implicit struct definition
// CHECK-NEXT: | | | |-CapturedRecordAttr {{.*}} <<invalid sloc>> Implicit
// CHECK-NEXT: | | | |-FieldDecl {{.*}} <line:21:23> col:23 implicit 'int'
// CHECK-NEXT: | | | | `-OMPCaptureKindAttr {{.*}} <<invalid sloc>> Implicit {{.*}}
// CHECK-NEXT: | | | `-FieldDecl {{.*}} <line:22:25> col:25 implicit 'int'
// CHECK-NEXT: | | | `-OMPCaptureKindAttr {{.*}} <<invalid sloc>> Implicit {{.*}}
// CHECK-NEXT: | | `-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | |-OMPTeamsDistributeSimdDirective {{.*}} <line:20:1, col:46>
// CHECK-NEXT: | | | |-OMPCollapseClause {{.*}} <col:35, col:45>
// CHECK-NEXT: | | | | `-ConstantExpr {{.*}} <col:44> 'int'
// CHECK-NEXT: | | | | |-value: Int 1
// CHECK-NEXT: | | | | `-IntegerLiteral {{.*}} <col:44> 'int' 1
// CHECK-NEXT: | | | `-CapturedStmt {{.*}} <line:21:3, line:23:7>
// CHECK-NEXT: | | | |-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | | |-ForStmt {{.*}} <line:21:3, line:23:7>
// CHECK-NEXT: | | | | | |-DeclStmt {{.*}} <line:21:8, col:17>
// CHECK-NEXT: | | | | | | `-VarDecl {{.*}} <col:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | |-BinaryOperator {{.*}} <col:19, col:23> 'int' '<'
// CHECK-NEXT: | | | | | | |-ImplicitCastExpr {{.*}} <col:19> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:19> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | `-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | | |-UnaryOperator {{.*}} <col:26, col:27> 'int' postfix '++'
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:26> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | `-ForStmt {{.*}} <line:22:5, line:23:7>
// CHECK-NEXT: | | | | | |-DeclStmt {{.*}} <line:22:10, col:19>
// CHECK-NEXT: | | | | | | `-VarDecl {{.*}} <col:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | |-BinaryOperator {{.*}} <col:21, col:25> 'int' '<'
// CHECK-NEXT: | | | | | | |-ImplicitCastExpr {{.*}} <col:21> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:21> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | `-ImplicitCastExpr {{.*}} <col:25> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | | | |-UnaryOperator {{.*}} <col:28, col:29> 'int' postfix '++'
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:28> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | `-NullStmt {{.*}} <line:23:7>
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <line:20:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (anonymous at {{.*}}ast-dump-openmp-teams-distribute-simd.c:20:1) *const restrict'
// CHECK-NEXT: | | | | |-VarDecl {{.*}} <line:21:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | `-VarDecl {{.*}} <line:22:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | |-DeclRefExpr {{.*}} <line:21:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | `-DeclRefExpr {{.*}} <line:22:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <line:19:1> col:1 implicit __context 'struct (anonymous at {{.*}}ast-dump-openmp-teams-distribute-simd.c:19:1) *const restrict'
// CHECK-NEXT: | | |-RecordDecl {{.*}} <line:20:1> col:1 implicit struct definition
// CHECK-NEXT: | | | |-CapturedRecordAttr {{.*}} <<invalid sloc>> Implicit
// CHECK-NEXT: | | | |-FieldDecl {{.*}} <line:21:23> col:23 implicit 'int &'
// CHECK-NEXT: | | | `-FieldDecl {{.*}} <line:22:25> col:25 implicit 'int &'
// CHECK-NEXT: | | |-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | |-ForStmt {{.*}} <line:21:3, line:23:7>
// CHECK-NEXT: | | | | |-DeclStmt {{.*}} <line:21:8, col:17>
// CHECK-NEXT: | | | | | `-VarDecl {{.*}} <col:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | |-BinaryOperator {{.*}} <col:19, col:23> 'int' '<'
// CHECK-NEXT: | | | | | |-ImplicitCastExpr {{.*}} <col:19> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:19> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | `-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | |-UnaryOperator {{.*}} <col:26, col:27> 'int' postfix '++'
// CHECK-NEXT: | | | | | `-DeclRefExpr {{.*}} <col:26> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | `-ForStmt {{.*}} <line:22:5, line:23:7>
// CHECK-NEXT: | | | | |-DeclStmt {{.*}} <line:22:10, col:19>
// CHECK-NEXT: | | | | | `-VarDecl {{.*}} <col:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | |-BinaryOperator {{.*}} <col:21, col:25> 'int' '<'
// CHECK-NEXT: | | | | | |-ImplicitCastExpr {{.*}} <col:21> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:21> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | `-ImplicitCastExpr {{.*}} <col:25> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | `-DeclRefExpr {{.*}} <col:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | | |-UnaryOperator {{.*}} <col:28, col:29> 'int' postfix '++'
// CHECK-NEXT: | | | | | `-DeclRefExpr {{.*}} <col:28> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | `-NullStmt {{.*}} <line:23:7>
// CHECK-NEXT: | | | |-ImplicitParamDecl {{.*}} <line:20:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (anonymous at {{.*}}ast-dump-openmp-teams-distribute-simd.c:20:1) *const restrict'
// CHECK-NEXT: | | | |-VarDecl {{.*}} <line:21:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | `-VarDecl {{.*}} <line:22:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | |-OMPCapturedExprDecl {{.*}} <line:21:23> col:23 implicit used .capture_expr. 'int'
// CHECK-NEXT: | | | `-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | `-OMPCapturedExprDecl {{.*}} <col:3, <invalid sloc>> col:3 implicit used .capture_expr. 'int'
// CHECK-NEXT: | | `-BinaryOperator {{.*}} <col:3, <invalid sloc>> 'int' '-'
// CHECK-NEXT: | | |-BinaryOperator {{.*}} <col:3, col:26> 'int' '/'
// CHECK-NEXT: | | | |-ParenExpr {{.*}} <col:3> 'int'
// CHECK-NEXT: | | | | `-BinaryOperator {{.*}} <col:23, col:3> 'int' '-'
// CHECK-NEXT: | | | | |-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue OMPCapturedExpr {{.*}} '.capture_expr.' 'int'
// CHECK-NEXT: | | | | `-ParenExpr {{.*}} <col:3> 'int'
// CHECK-NEXT: | | | | `-BinaryOperator {{.*}} <col:16, <invalid sloc>> 'int' '+'
// CHECK-NEXT: | | | | |-BinaryOperator {{.*}} <col:16, col:26> 'int' '-'
// CHECK-NEXT: | | | | | |-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | `-IntegerLiteral {{.*}} <col:26> 'int' 1
// CHECK-NEXT: | | | | `-IntegerLiteral {{.*}} <<invalid sloc>> 'int' 1
// CHECK-NEXT: | | | `-IntegerLiteral {{.*}} <col:26> 'int' 1
// CHECK-NEXT: | | `-IntegerLiteral {{.*}} <<invalid sloc>> 'int' 1
// CHECK-NEXT: | |-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | `-DeclRefExpr {{.*}} <line:22:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: |-FunctionDecl {{.*}} <line:26:1, line:32:1> line:26:6 test_four 'void (int, int)'
// CHECK-NEXT: | |-ParmVarDecl {{.*}} <col:16, col:20> col:20 used x 'int'
// CHECK-NEXT: | |-ParmVarDecl {{.*}} <col:23, col:27> col:27 used y 'int'
// CHECK-NEXT: | `-CompoundStmt {{.*}} <col:30, line:32:1>
// CHECK-NEXT: | `-OMPTargetDirective {{.*}} <line:27:1, col:19>
// CHECK-NEXT: | |-OMPFirstprivateClause {{.*}} <<invalid sloc>> <implicit>
// CHECK-NEXT: | | |-DeclRefExpr {{.*}} <line:29:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | `-DeclRefExpr {{.*}} <line:30:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | `-CapturedStmt {{.*}} <line:28:1, col:46>
// CHECK-NEXT: | |-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | |-CapturedStmt {{.*}} <col:1, col:46>
// CHECK-NEXT: | | | |-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | | |-OMPTeamsDistributeSimdDirective {{.*}} <col:1, col:46>
// CHECK-NEXT: | | | | | |-OMPCollapseClause {{.*}} <col:35, col:45>
// CHECK-NEXT: | | | | | | `-ConstantExpr {{.*}} <col:44> 'int'
// CHECK-NEXT: | | | | | | |-value: Int 2
// CHECK-NEXT: | | | | | | `-IntegerLiteral {{.*}} <col:44> 'int' 2
// CHECK-NEXT: | | | | | `-CapturedStmt {{.*}} <line:29:3, line:31:7>
// CHECK-NEXT: | | | | | |-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | | | | |-ForStmt {{.*}} <line:29:3, line:31:7>
// CHECK-NEXT: | | | | | | | |-DeclStmt {{.*}} <line:29:8, col:17>
// CHECK-NEXT: | | | | | | | | `-VarDecl {{.*}} <col:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | | | |-BinaryOperator {{.*}} <col:19, col:23> 'int' '<'
// CHECK-NEXT: | | | | | | | | |-ImplicitCastExpr {{.*}} <col:19> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | | `-DeclRefExpr {{.*}} <col:19> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | | `-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | | | | |-UnaryOperator {{.*}} <col:26, col:27> 'int' postfix '++'
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:26> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | `-ForStmt {{.*}} <line:30:5, line:31:7>
// CHECK-NEXT: | | | | | | | |-DeclStmt {{.*}} <line:30:10, col:19>
// CHECK-NEXT: | | | | | | | | `-VarDecl {{.*}} <col:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | | | |-BinaryOperator {{.*}} <col:21, col:25> 'int' '<'
// CHECK-NEXT: | | | | | | | | |-ImplicitCastExpr {{.*}} <col:21> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | | `-DeclRefExpr {{.*}} <col:21> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | | `-ImplicitCastExpr {{.*}} <col:25> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | | | | | |-UnaryOperator {{.*}} <col:28, col:29> 'int' postfix '++'
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:28> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | `-NullStmt {{.*}} <line:31:7>
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <line:28:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (anonymous at {{.*}}ast-dump-openmp-teams-distribute-simd.c:28:1) *const restrict'
// CHECK-NEXT: | | | | | | |-VarDecl {{.*}} <line:29:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | | `-VarDecl {{.*}} <line:30:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | | |-DeclRefExpr {{.*}} <line:29:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | | `-DeclRefExpr {{.*}} <line:30:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <line:27:1> col:1 implicit __context 'struct (anonymous at {{.*}}ast-dump-openmp-teams-distribute-simd.c:27:1) *const restrict'
// CHECK-NEXT: | | | | |-RecordDecl {{.*}} <line:28:1> col:1 implicit struct definition
// CHECK-NEXT: | | | | | |-CapturedRecordAttr {{.*}} <<invalid sloc>> Implicit
// CHECK-NEXT: | | | | | |-FieldDecl {{.*}} <line:29:23> col:23 implicit 'int &'
// CHECK-NEXT: | | | | | `-FieldDecl {{.*}} <line:30:25> col:25 implicit 'int &'
// CHECK-NEXT: | | | | |-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | | | |-ForStmt {{.*}} <line:29:3, line:31:7>
// CHECK-NEXT: | | | | | | |-DeclStmt {{.*}} <line:29:8, col:17>
// CHECK-NEXT: | | | | | | | `-VarDecl {{.*}} <col:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | | |-BinaryOperator {{.*}} <col:19, col:23> 'int' '<'
// CHECK-NEXT: | | | | | | | |-ImplicitCastExpr {{.*}} <col:19> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:19> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | `-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | | | |-UnaryOperator {{.*}} <col:26, col:27> 'int' postfix '++'
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:26> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | `-ForStmt {{.*}} <line:30:5, line:31:7>
// CHECK-NEXT: | | | | | | |-DeclStmt {{.*}} <line:30:10, col:19>
// CHECK-NEXT: | | | | | | | `-VarDecl {{.*}} <col:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | | |-BinaryOperator {{.*}} <col:21, col:25> 'int' '<'
// CHECK-NEXT: | | | | | | | |-ImplicitCastExpr {{.*}} <col:21> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:21> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | `-ImplicitCastExpr {{.*}} <col:25> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | | | | |-UnaryOperator {{.*}} <col:28, col:29> 'int' postfix '++'
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:28> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | `-NullStmt {{.*}} <line:31:7>
// CHECK-NEXT: | | | | | |-ImplicitParamDecl {{.*}} <line:28:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (anonymous at {{.*}}ast-dump-openmp-teams-distribute-simd.c:28:1) *const restrict'
// CHECK-NEXT: | | | | | |-VarDecl {{.*}} <line:29:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | `-VarDecl {{.*}} <line:30:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | |-OMPCapturedExprDecl {{.*}} <line:29:23> col:23 implicit used .capture_expr. 'int'
// CHECK-NEXT: | | | | | `-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | |-OMPCapturedExprDecl {{.*}} <line:30:25> col:25 implicit used .capture_expr. 'int'
// CHECK-NEXT: | | | | | `-ImplicitCastExpr {{.*}} <col:25> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | `-DeclRefExpr {{.*}} <col:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | | `-OMPCapturedExprDecl {{.*}} <line:29:3, <invalid sloc>> col:3 implicit used .capture_expr. 'long'
// CHECK-NEXT: | | | | `-BinaryOperator {{.*}} <col:3, <invalid sloc>> 'long' '-'
// CHECK-NEXT: | | | | |-BinaryOperator {{.*}} <col:3, line:30:28> 'long' '*'
// CHECK-NEXT: | | | | | |-ImplicitCastExpr {{.*}} <line:29:3, col:26> 'long' <IntegralCast>
// CHECK-NEXT: | | | | | | `-BinaryOperator {{.*}} <col:3, col:26> 'int' '/'
// CHECK-NEXT: | | | | | | |-ParenExpr {{.*}} <col:3> 'int'
// CHECK-NEXT: | | | | | | | `-BinaryOperator {{.*}} <col:23, col:3> 'int' '-'
// CHECK-NEXT: | | | | | | | |-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue OMPCapturedExpr {{.*}} '.capture_expr.' 'int'
// CHECK-NEXT: | | | | | | | `-ParenExpr {{.*}} <col:3> 'int'
// CHECK-NEXT: | | | | | | | `-BinaryOperator {{.*}} <col:16, <invalid sloc>> 'int' '+'
// CHECK-NEXT: | | | | | | | |-BinaryOperator {{.*}} <col:16, col:26> 'int' '-'
// CHECK-NEXT: | | | | | | | | |-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | | | | `-IntegerLiteral {{.*}} <col:26> 'int' 1
// CHECK-NEXT: | | | | | | | `-IntegerLiteral {{.*}} <<invalid sloc>> 'int' 1
// CHECK-NEXT: | | | | | | `-IntegerLiteral {{.*}} <col:26> 'int' 1
// CHECK-NEXT: | | | | | `-ImplicitCastExpr {{.*}} <line:30:5, col:28> 'long' <IntegralCast>
// CHECK-NEXT: | | | | | `-BinaryOperator {{.*}} <col:5, col:28> 'int' '/'
// CHECK-NEXT: | | | | | |-ParenExpr {{.*}} <col:5> 'int'
// CHECK-NEXT: | | | | | | `-BinaryOperator {{.*}} <col:25, col:5> 'int' '-'
// CHECK-NEXT: | | | | | | |-ImplicitCastExpr {{.*}} <col:25> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:25> 'int' lvalue OMPCapturedExpr {{.*}} '.capture_expr.' 'int'
// CHECK-NEXT: | | | | | | `-ParenExpr {{.*}} <col:5> 'int'
// CHECK-NEXT: | | | | | | `-BinaryOperator {{.*}} <col:18, <invalid sloc>> 'int' '+'
// CHECK-NEXT: | | | | | | |-BinaryOperator {{.*}} <col:18, col:28> 'int' '-'
// CHECK-NEXT: | | | | | | | |-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | | | | `-IntegerLiteral {{.*}} <col:28> 'int' 1
// CHECK-NEXT: | | | | | | `-IntegerLiteral {{.*}} <<invalid sloc>> 'int' 1
// CHECK-NEXT: | | | | | `-IntegerLiteral {{.*}} <col:28> 'int' 1
// CHECK-NEXT: | | | | `-ImplicitCastExpr {{.*}} <<invalid sloc>> 'long' <IntegralCast>
// CHECK-NEXT: | | | | `-IntegerLiteral {{.*}} <<invalid sloc>> 'int' 1
// CHECK-NEXT: | | | |-DeclRefExpr {{.*}} <line:29:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | `-DeclRefExpr {{.*}} <line:30:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | |-AlwaysInlineAttr {{.*}} <<invalid sloc>> Implicit __forceinline
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <line:27:1> col:1 implicit .global_tid. 'const int'
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .part_id. 'const int *const restrict'
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .privates. 'void *const restrict'
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .copy_fn. 'void (*const restrict)(void *const restrict, ...)'
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .task_t. 'void *const'
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (anonymous at {{.*}}ast-dump-openmp-teams-distribute-simd.c:27:1) *const restrict'
// CHECK-NEXT: | | |-RecordDecl {{.*}} <col:1> col:1 implicit struct definition
// CHECK-NEXT: | | | |-CapturedRecordAttr {{.*}} <<invalid sloc>> Implicit
// CHECK-NEXT: | | | |-FieldDecl {{.*}} <line:29:23> col:23 implicit 'int'
// CHECK-NEXT: | | | | `-OMPCaptureKindAttr {{.*}} <<invalid sloc>> Implicit {{.*}}
// CHECK-NEXT: | | | `-FieldDecl {{.*}} <line:30:25> col:25 implicit 'int'
// CHECK-NEXT: | | | `-OMPCaptureKindAttr {{.*}} <<invalid sloc>> Implicit {{.*}}
// CHECK-NEXT: | | `-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | |-OMPTeamsDistributeSimdDirective {{.*}} <line:28:1, col:46>
// CHECK-NEXT: | | | |-OMPCollapseClause {{.*}} <col:35, col:45>
// CHECK-NEXT: | | | | `-ConstantExpr {{.*}} <col:44> 'int'
// CHECK-NEXT: | | | | |-value: Int 2
// CHECK-NEXT: | | | | `-IntegerLiteral {{.*}} <col:44> 'int' 2
// CHECK-NEXT: | | | `-CapturedStmt {{.*}} <line:29:3, line:31:7>
// CHECK-NEXT: | | | |-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | | |-ForStmt {{.*}} <line:29:3, line:31:7>
// CHECK-NEXT: | | | | | |-DeclStmt {{.*}} <line:29:8, col:17>
// CHECK-NEXT: | | | | | | `-VarDecl {{.*}} <col:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | |-BinaryOperator {{.*}} <col:19, col:23> 'int' '<'
// CHECK-NEXT: | | | | | | |-ImplicitCastExpr {{.*}} <col:19> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:19> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | `-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | | |-UnaryOperator {{.*}} <col:26, col:27> 'int' postfix '++'
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:26> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | `-ForStmt {{.*}} <line:30:5, line:31:7>
// CHECK-NEXT: | | | | | |-DeclStmt {{.*}} <line:30:10, col:19>
// CHECK-NEXT: | | | | | | `-VarDecl {{.*}} <col:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | |-BinaryOperator {{.*}} <col:21, col:25> 'int' '<'
// CHECK-NEXT: | | | | | | |-ImplicitCastExpr {{.*}} <col:21> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:21> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | `-ImplicitCastExpr {{.*}} <col:25> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | | | |-UnaryOperator {{.*}} <col:28, col:29> 'int' postfix '++'
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:28> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | `-NullStmt {{.*}} <line:31:7>
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <line:28:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (anonymous at {{.*}}ast-dump-openmp-teams-distribute-simd.c:28:1) *const restrict'
// CHECK-NEXT: | | | | |-VarDecl {{.*}} <line:29:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | `-VarDecl {{.*}} <line:30:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | |-DeclRefExpr {{.*}} <line:29:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | `-DeclRefExpr {{.*}} <line:30:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <line:27:1> col:1 implicit __context 'struct (anonymous at {{.*}}ast-dump-openmp-teams-distribute-simd.c:27:1) *const restrict'
// CHECK-NEXT: | | |-RecordDecl {{.*}} <line:28:1> col:1 implicit struct definition
// CHECK-NEXT: | | | |-CapturedRecordAttr {{.*}} <<invalid sloc>> Implicit
// CHECK-NEXT: | | | |-FieldDecl {{.*}} <line:29:23> col:23 implicit 'int &'
// CHECK-NEXT: | | | `-FieldDecl {{.*}} <line:30:25> col:25 implicit 'int &'
// CHECK-NEXT: | | |-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | |-ForStmt {{.*}} <line:29:3, line:31:7>
// CHECK-NEXT: | | | | |-DeclStmt {{.*}} <line:29:8, col:17>
// CHECK-NEXT: | | | | | `-VarDecl {{.*}} <col:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | |-BinaryOperator {{.*}} <col:19, col:23> 'int' '<'
// CHECK-NEXT: | | | | | |-ImplicitCastExpr {{.*}} <col:19> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:19> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | `-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | |-UnaryOperator {{.*}} <col:26, col:27> 'int' postfix '++'
// CHECK-NEXT: | | | | | `-DeclRefExpr {{.*}} <col:26> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | `-ForStmt {{.*}} <line:30:5, line:31:7>
// CHECK-NEXT: | | | | |-DeclStmt {{.*}} <line:30:10, col:19>
// CHECK-NEXT: | | | | | `-VarDecl {{.*}} <col:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | |-BinaryOperator {{.*}} <col:21, col:25> 'int' '<'
// CHECK-NEXT: | | | | | |-ImplicitCastExpr {{.*}} <col:21> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:21> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | `-ImplicitCastExpr {{.*}} <col:25> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | `-DeclRefExpr {{.*}} <col:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | | |-UnaryOperator {{.*}} <col:28, col:29> 'int' postfix '++'
// CHECK-NEXT: | | | | | `-DeclRefExpr {{.*}} <col:28> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | `-NullStmt {{.*}} <line:31:7>
// CHECK-NEXT: | | | |-ImplicitParamDecl {{.*}} <line:28:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (anonymous at {{.*}}ast-dump-openmp-teams-distribute-simd.c:28:1) *const restrict'
// CHECK-NEXT: | | | |-VarDecl {{.*}} <line:29:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | `-VarDecl {{.*}} <line:30:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | |-OMPCapturedExprDecl {{.*}} <line:29:23> col:23 implicit used .capture_expr. 'int'
// CHECK-NEXT: | | | `-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | |-OMPCapturedExprDecl {{.*}} <line:30:25> col:25 implicit used .capture_expr. 'int'
// CHECK-NEXT: | | | `-ImplicitCastExpr {{.*}} <col:25> 'int' <LValueToRValue>
// CHECK-NEXT: | | | `-DeclRefExpr {{.*}} <col:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | `-OMPCapturedExprDecl {{.*}} <line:29:3, <invalid sloc>> col:3 implicit used .capture_expr. 'long'
// CHECK-NEXT: | | `-BinaryOperator {{.*}} <col:3, <invalid sloc>> 'long' '-'
// CHECK-NEXT: | | |-BinaryOperator {{.*}} <col:3, line:30:28> 'long' '*'
// CHECK-NEXT: | | | |-ImplicitCastExpr {{.*}} <line:29:3, col:26> 'long' <IntegralCast>
// CHECK-NEXT: | | | | `-BinaryOperator {{.*}} <col:3, col:26> 'int' '/'
// CHECK-NEXT: | | | | |-ParenExpr {{.*}} <col:3> 'int'
// CHECK-NEXT: | | | | | `-BinaryOperator {{.*}} <col:23, col:3> 'int' '-'
// CHECK-NEXT: | | | | | |-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue OMPCapturedExpr {{.*}} '.capture_expr.' 'int'
// CHECK-NEXT: | | | | | `-ParenExpr {{.*}} <col:3> 'int'
// CHECK-NEXT: | | | | | `-BinaryOperator {{.*}} <col:16, <invalid sloc>> 'int' '+'
// CHECK-NEXT: | | | | | |-BinaryOperator {{.*}} <col:16, col:26> 'int' '-'
// CHECK-NEXT: | | | | | | |-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | | `-IntegerLiteral {{.*}} <col:26> 'int' 1
// CHECK-NEXT: | | | | | `-IntegerLiteral {{.*}} <<invalid sloc>> 'int' 1
// CHECK-NEXT: | | | | `-IntegerLiteral {{.*}} <col:26> 'int' 1
// CHECK-NEXT: | | | `-ImplicitCastExpr {{.*}} <line:30:5, col:28> 'long' <IntegralCast>
// CHECK-NEXT: | | | `-BinaryOperator {{.*}} <col:5, col:28> 'int' '/'
// CHECK-NEXT: | | | |-ParenExpr {{.*}} <col:5> 'int'
// CHECK-NEXT: | | | | `-BinaryOperator {{.*}} <col:25, col:5> 'int' '-'
// CHECK-NEXT: | | | | |-ImplicitCastExpr {{.*}} <col:25> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | `-DeclRefExpr {{.*}} <col:25> 'int' lvalue OMPCapturedExpr {{.*}} '.capture_expr.' 'int'
// CHECK-NEXT: | | | | `-ParenExpr {{.*}} <col:5> 'int'
// CHECK-NEXT: | | | | `-BinaryOperator {{.*}} <col:18, <invalid sloc>> 'int' '+'
// CHECK-NEXT: | | | | |-BinaryOperator {{.*}} <col:18, col:28> 'int' '-'
// CHECK-NEXT: | | | | | |-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | | `-IntegerLiteral {{.*}} <col:28> 'int' 1
// CHECK-NEXT: | | | | `-IntegerLiteral {{.*}} <<invalid sloc>> 'int' 1
// CHECK-NEXT: | | | `-IntegerLiteral {{.*}} <col:28> 'int' 1
// CHECK-NEXT: | | `-ImplicitCastExpr {{.*}} <<invalid sloc>> 'long' <IntegralCast>
// CHECK-NEXT: | | `-IntegerLiteral {{.*}} <<invalid sloc>> 'int' 1
// CHECK-NEXT: | |-DeclRefExpr {{.*}} <line:29:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | `-DeclRefExpr {{.*}} <line:30:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: `-FunctionDecl {{.*}} <line:34:1, line:41:1> line:34:6 test_five 'void (int, int, int)'
// CHECK-NEXT: |-ParmVarDecl {{.*}} <col:16, col:20> col:20 used x 'int'
// CHECK-NEXT: |-ParmVarDecl {{.*}} <col:23, col:27> col:27 used y 'int'
// CHECK-NEXT: |-ParmVarDecl {{.*}} <col:30, col:34> col:34 used z 'int'
// CHECK-NEXT: `-CompoundStmt {{.*}} <col:37, line:41:1>
// CHECK-NEXT: `-OMPTargetDirective {{.*}} <line:35:1, col:19>
// CHECK-NEXT: |-OMPFirstprivateClause {{.*}} <<invalid sloc>> <implicit>
// CHECK-NEXT: | |-DeclRefExpr {{.*}} <line:37:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | |-DeclRefExpr {{.*}} <line:38:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | `-DeclRefExpr {{.*}} <line:39:27> 'int' lvalue ParmVar {{.*}} 'z' 'int'
// CHECK-NEXT: `-CapturedStmt {{.*}} <line:36:1, col:46>
// CHECK-NEXT: |-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | |-CapturedStmt {{.*}} <col:1, col:46>
// CHECK-NEXT: | | |-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | |-OMPTeamsDistributeSimdDirective {{.*}} <col:1, col:46>
// CHECK-NEXT: | | | | |-OMPCollapseClause {{.*}} <col:35, col:45>
// CHECK-NEXT: | | | | | `-ConstantExpr {{.*}} <col:44> 'int'
// CHECK-NEXT: | | | | | |-value: Int 2
// CHECK-NEXT: | | | | | `-IntegerLiteral {{.*}} <col:44> 'int' 2
// CHECK-NEXT: | | | | `-CapturedStmt {{.*}} <line:37:3, line:40:9>
// CHECK-NEXT: | | | | |-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | | | |-ForStmt {{.*}} <line:37:3, line:40:9>
// CHECK-NEXT: | | | | | | |-DeclStmt {{.*}} <line:37:8, col:17>
// CHECK-NEXT: | | | | | | | `-VarDecl {{.*}} <col:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | | |-BinaryOperator {{.*}} <col:19, col:23> 'int' '<'
// CHECK-NEXT: | | | | | | | |-ImplicitCastExpr {{.*}} <col:19> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:19> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | `-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | | | |-UnaryOperator {{.*}} <col:26, col:27> 'int' postfix '++'
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:26> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | `-ForStmt {{.*}} <line:38:5, line:40:9>
// CHECK-NEXT: | | | | | | |-DeclStmt {{.*}} <line:38:10, col:19>
// CHECK-NEXT: | | | | | | | `-VarDecl {{.*}} <col:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | | |-BinaryOperator {{.*}} <col:21, col:25> 'int' '<'
// CHECK-NEXT: | | | | | | | |-ImplicitCastExpr {{.*}} <col:21> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:21> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | `-ImplicitCastExpr {{.*}} <col:25> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | | | | |-UnaryOperator {{.*}} <col:28, col:29> 'int' postfix '++'
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:28> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | `-ForStmt {{.*}} <line:39:7, line:40:9>
// CHECK-NEXT: | | | | | | |-DeclStmt {{.*}} <line:39:12, col:21>
// CHECK-NEXT: | | | | | | | `-VarDecl {{.*}} <col:12, col:20> col:16 used i 'int' cinit
// CHECK-NEXT: | | | | | | | `-IntegerLiteral {{.*}} <col:20> 'int' 0
// CHECK-NEXT: | | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | | |-BinaryOperator {{.*}} <col:23, col:27> 'int' '<'
// CHECK-NEXT: | | | | | | | |-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | | `-ImplicitCastExpr {{.*}} <col:27> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:27> 'int' lvalue ParmVar {{.*}} 'z' 'int'
// CHECK-NEXT: | | | | | | |-UnaryOperator {{.*}} <col:30, col:31> 'int' postfix '++'
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:30> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | `-NullStmt {{.*}} <line:40:9>
// CHECK-NEXT: | | | | | |-ImplicitParamDecl {{.*}} <line:36:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (anonymous at {{.*}}ast-dump-openmp-teams-distribute-simd.c:36:1) *const restrict'
// CHECK-NEXT: | | | | | |-VarDecl {{.*}} <line:37:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | |-VarDecl {{.*}} <line:38:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | | `-VarDecl {{.*}} <line:39:12, col:20> col:16 used i 'int' cinit
// CHECK-NEXT: | | | | | `-IntegerLiteral {{.*}} <col:20> 'int' 0
// CHECK-NEXT: | | | | |-DeclRefExpr {{.*}} <line:37:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | |-DeclRefExpr {{.*}} <line:38:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | | `-DeclRefExpr {{.*}} <line:39:27> 'int' lvalue ParmVar {{.*}} 'z' 'int'
// CHECK-NEXT: | | | |-ImplicitParamDecl {{.*}} <line:35:1> col:1 implicit __context 'struct (anonymous at {{.*}}ast-dump-openmp-teams-distribute-simd.c:35:1) *const restrict'
// CHECK-NEXT: | | | |-RecordDecl {{.*}} <line:36:1> col:1 implicit struct definition
// CHECK-NEXT: | | | | |-CapturedRecordAttr {{.*}} <<invalid sloc>> Implicit
// CHECK-NEXT: | | | | |-FieldDecl {{.*}} <line:37:23> col:23 implicit 'int &'
// CHECK-NEXT: | | | | |-FieldDecl {{.*}} <line:38:25> col:25 implicit 'int &'
// CHECK-NEXT: | | | | `-FieldDecl {{.*}} <line:39:27> col:27 implicit 'int &'
// CHECK-NEXT: | | | |-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | | |-ForStmt {{.*}} <line:37:3, line:40:9>
// CHECK-NEXT: | | | | | |-DeclStmt {{.*}} <line:37:8, col:17>
// CHECK-NEXT: | | | | | | `-VarDecl {{.*}} <col:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | |-BinaryOperator {{.*}} <col:19, col:23> 'int' '<'
// CHECK-NEXT: | | | | | | |-ImplicitCastExpr {{.*}} <col:19> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:19> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | `-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | | |-UnaryOperator {{.*}} <col:26, col:27> 'int' postfix '++'
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:26> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | `-ForStmt {{.*}} <line:38:5, line:40:9>
// CHECK-NEXT: | | | | | |-DeclStmt {{.*}} <line:38:10, col:19>
// CHECK-NEXT: | | | | | | `-VarDecl {{.*}} <col:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | |-BinaryOperator {{.*}} <col:21, col:25> 'int' '<'
// CHECK-NEXT: | | | | | | |-ImplicitCastExpr {{.*}} <col:21> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:21> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | `-ImplicitCastExpr {{.*}} <col:25> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | | | |-UnaryOperator {{.*}} <col:28, col:29> 'int' postfix '++'
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:28> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | `-ForStmt {{.*}} <line:39:7, line:40:9>
// CHECK-NEXT: | | | | | |-DeclStmt {{.*}} <line:39:12, col:21>
// CHECK-NEXT: | | | | | | `-VarDecl {{.*}} <col:12, col:20> col:16 used i 'int' cinit
// CHECK-NEXT: | | | | | | `-IntegerLiteral {{.*}} <col:20> 'int' 0
// CHECK-NEXT: | | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | | |-BinaryOperator {{.*}} <col:23, col:27> 'int' '<'
// CHECK-NEXT: | | | | | | |-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | | `-ImplicitCastExpr {{.*}} <col:27> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:27> 'int' lvalue ParmVar {{.*}} 'z' 'int'
// CHECK-NEXT: | | | | | |-UnaryOperator {{.*}} <col:30, col:31> 'int' postfix '++'
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:30> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | `-NullStmt {{.*}} <line:40:9>
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <line:36:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (anonymous at {{.*}}ast-dump-openmp-teams-distribute-simd.c:36:1) *const restrict'
// CHECK-NEXT: | | | | |-VarDecl {{.*}} <line:37:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | |-VarDecl {{.*}} <line:38:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | `-VarDecl {{.*}} <line:39:12, col:20> col:16 used i 'int' cinit
// CHECK-NEXT: | | | | `-IntegerLiteral {{.*}} <col:20> 'int' 0
// CHECK-NEXT: | | | |-OMPCapturedExprDecl {{.*}} <line:37:23> col:23 implicit used .capture_expr. 'int'
// CHECK-NEXT: | | | | `-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | |-OMPCapturedExprDecl {{.*}} <line:38:25> col:25 implicit used .capture_expr. 'int'
// CHECK-NEXT: | | | | `-ImplicitCastExpr {{.*}} <col:25> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | `-DeclRefExpr {{.*}} <col:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | `-OMPCapturedExprDecl {{.*}} <line:37:3, <invalid sloc>> col:3 implicit used .capture_expr. 'long'
// CHECK-NEXT: | | | `-BinaryOperator {{.*}} <col:3, <invalid sloc>> 'long' '-'
// CHECK-NEXT: | | | |-BinaryOperator {{.*}} <col:3, line:38:28> 'long' '*'
// CHECK-NEXT: | | | | |-ImplicitCastExpr {{.*}} <line:37:3, col:26> 'long' <IntegralCast>
// CHECK-NEXT: | | | | | `-BinaryOperator {{.*}} <col:3, col:26> 'int' '/'
// CHECK-NEXT: | | | | | |-ParenExpr {{.*}} <col:3> 'int'
// CHECK-NEXT: | | | | | | `-BinaryOperator {{.*}} <col:23, col:3> 'int' '-'
// CHECK-NEXT: | | | | | | |-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue OMPCapturedExpr {{.*}} '.capture_expr.' 'int'
// CHECK-NEXT: | | | | | | `-ParenExpr {{.*}} <col:3> 'int'
// CHECK-NEXT: | | | | | | `-BinaryOperator {{.*}} <col:16, <invalid sloc>> 'int' '+'
// CHECK-NEXT: | | | | | | |-BinaryOperator {{.*}} <col:16, col:26> 'int' '-'
// CHECK-NEXT: | | | | | | | |-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | | | `-IntegerLiteral {{.*}} <col:26> 'int' 1
// CHECK-NEXT: | | | | | | `-IntegerLiteral {{.*}} <<invalid sloc>> 'int' 1
// CHECK-NEXT: | | | | | `-IntegerLiteral {{.*}} <col:26> 'int' 1
// CHECK-NEXT: | | | | `-ImplicitCastExpr {{.*}} <line:38:5, col:28> 'long' <IntegralCast>
// CHECK-NEXT: | | | | `-BinaryOperator {{.*}} <col:5, col:28> 'int' '/'
// CHECK-NEXT: | | | | |-ParenExpr {{.*}} <col:5> 'int'
// CHECK-NEXT: | | | | | `-BinaryOperator {{.*}} <col:25, col:5> 'int' '-'
// CHECK-NEXT: | | | | | |-ImplicitCastExpr {{.*}} <col:25> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:25> 'int' lvalue OMPCapturedExpr {{.*}} '.capture_expr.' 'int'
// CHECK-NEXT: | | | | | `-ParenExpr {{.*}} <col:5> 'int'
// CHECK-NEXT: | | | | | `-BinaryOperator {{.*}} <col:18, <invalid sloc>> 'int' '+'
// CHECK-NEXT: | | | | | |-BinaryOperator {{.*}} <col:18, col:28> 'int' '-'
// CHECK-NEXT: | | | | | | |-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | | | `-IntegerLiteral {{.*}} <col:28> 'int' 1
// CHECK-NEXT: | | | | | `-IntegerLiteral {{.*}} <<invalid sloc>> 'int' 1
// CHECK-NEXT: | | | | `-IntegerLiteral {{.*}} <col:28> 'int' 1
// CHECK-NEXT: | | | `-ImplicitCastExpr {{.*}} <<invalid sloc>> 'long' <IntegralCast>
// CHECK-NEXT: | | | `-IntegerLiteral {{.*}} <<invalid sloc>> 'int' 1
// CHECK-NEXT: | | |-DeclRefExpr {{.*}} <line:37:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | |-DeclRefExpr {{.*}} <line:38:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | `-DeclRefExpr {{.*}} <line:39:27> 'int' lvalue ParmVar {{.*}} 'z' 'int'
// CHECK-NEXT: | |-AlwaysInlineAttr {{.*}} <<invalid sloc>> Implicit __forceinline
// CHECK-NEXT: | |-ImplicitParamDecl {{.*}} <line:35:1> col:1 implicit .global_tid. 'const int'
// CHECK-NEXT: | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .part_id. 'const int *const restrict'
// CHECK-NEXT: | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .privates. 'void *const restrict'
// CHECK-NEXT: | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .copy_fn. 'void (*const restrict)(void *const restrict, ...)'
// CHECK-NEXT: | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .task_t. 'void *const'
// CHECK-NEXT: | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (anonymous at {{.*}}ast-dump-openmp-teams-distribute-simd.c:35:1) *const restrict'
// CHECK-NEXT: | |-RecordDecl {{.*}} <col:1> col:1 implicit struct definition
// CHECK-NEXT: | | |-CapturedRecordAttr {{.*}} <<invalid sloc>> Implicit
// CHECK-NEXT: | | |-FieldDecl {{.*}} <line:37:23> col:23 implicit 'int'
// CHECK-NEXT: | | | `-OMPCaptureKindAttr {{.*}} <<invalid sloc>> Implicit {{.*}}
// CHECK-NEXT: | | |-FieldDecl {{.*}} <line:38:25> col:25 implicit 'int'
// CHECK-NEXT: | | | `-OMPCaptureKindAttr {{.*}} <<invalid sloc>> Implicit {{.*}}
// CHECK-NEXT: | | `-FieldDecl {{.*}} <line:39:27> col:27 implicit 'int'
// CHECK-NEXT: | | `-OMPCaptureKindAttr {{.*}} <<invalid sloc>> Implicit {{.*}}
// CHECK-NEXT: | `-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | |-OMPTeamsDistributeSimdDirective {{.*}} <line:36:1, col:46>
// CHECK-NEXT: | | |-OMPCollapseClause {{.*}} <col:35, col:45>
// CHECK-NEXT: | | | `-ConstantExpr {{.*}} <col:44> 'int'
// CHECK-NEXT: | | | |-value: Int 2
// CHECK-NEXT: | | | `-IntegerLiteral {{.*}} <col:44> 'int' 2
// CHECK-NEXT: | | `-CapturedStmt {{.*}} <line:37:3, line:40:9>
// CHECK-NEXT: | | |-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | | |-ForStmt {{.*}} <line:37:3, line:40:9>
// CHECK-NEXT: | | | | |-DeclStmt {{.*}} <line:37:8, col:17>
// CHECK-NEXT: | | | | | `-VarDecl {{.*}} <col:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | |-BinaryOperator {{.*}} <col:19, col:23> 'int' '<'
// CHECK-NEXT: | | | | | |-ImplicitCastExpr {{.*}} <col:19> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:19> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | `-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | | |-UnaryOperator {{.*}} <col:26, col:27> 'int' postfix '++'
// CHECK-NEXT: | | | | | `-DeclRefExpr {{.*}} <col:26> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | `-ForStmt {{.*}} <line:38:5, line:40:9>
// CHECK-NEXT: | | | | |-DeclStmt {{.*}} <line:38:10, col:19>
// CHECK-NEXT: | | | | | `-VarDecl {{.*}} <col:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | |-BinaryOperator {{.*}} <col:21, col:25> 'int' '<'
// CHECK-NEXT: | | | | | |-ImplicitCastExpr {{.*}} <col:21> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:21> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | `-ImplicitCastExpr {{.*}} <col:25> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | `-DeclRefExpr {{.*}} <col:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | | |-UnaryOperator {{.*}} <col:28, col:29> 'int' postfix '++'
// CHECK-NEXT: | | | | | `-DeclRefExpr {{.*}} <col:28> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | `-ForStmt {{.*}} <line:39:7, line:40:9>
// CHECK-NEXT: | | | | |-DeclStmt {{.*}} <line:39:12, col:21>
// CHECK-NEXT: | | | | | `-VarDecl {{.*}} <col:12, col:20> col:16 used i 'int' cinit
// CHECK-NEXT: | | | | | `-IntegerLiteral {{.*}} <col:20> 'int' 0
// CHECK-NEXT: | | | | |-<<<NULL>>>
// CHECK-NEXT: | | | | |-BinaryOperator {{.*}} <col:23, col:27> 'int' '<'
// CHECK-NEXT: | | | | | |-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | | `-ImplicitCastExpr {{.*}} <col:27> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | `-DeclRefExpr {{.*}} <col:27> 'int' lvalue ParmVar {{.*}} 'z' 'int'
// CHECK-NEXT: | | | | |-UnaryOperator {{.*}} <col:30, col:31> 'int' postfix '++'
// CHECK-NEXT: | | | | | `-DeclRefExpr {{.*}} <col:30> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | `-NullStmt {{.*}} <line:40:9>
// CHECK-NEXT: | | | |-ImplicitParamDecl {{.*}} <line:36:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (anonymous at {{.*}}ast-dump-openmp-teams-distribute-simd.c:36:1) *const restrict'
// CHECK-NEXT: | | | |-VarDecl {{.*}} <line:37:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | |-VarDecl {{.*}} <line:38:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | `-VarDecl {{.*}} <line:39:12, col:20> col:16 used i 'int' cinit
// CHECK-NEXT: | | | `-IntegerLiteral {{.*}} <col:20> 'int' 0
// CHECK-NEXT: | | |-DeclRefExpr {{.*}} <line:37:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | |-DeclRefExpr {{.*}} <line:38:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | `-DeclRefExpr {{.*}} <line:39:27> 'int' lvalue ParmVar {{.*}} 'z' 'int'
// CHECK-NEXT: | |-ImplicitParamDecl {{.*}} <line:35:1> col:1 implicit __context 'struct (anonymous at {{.*}}ast-dump-openmp-teams-distribute-simd.c:35:1) *const restrict'
// CHECK-NEXT: | |-RecordDecl {{.*}} <line:36:1> col:1 implicit struct definition
// CHECK-NEXT: | | |-CapturedRecordAttr {{.*}} <<invalid sloc>> Implicit
// CHECK-NEXT: | | |-FieldDecl {{.*}} <line:37:23> col:23 implicit 'int &'
// CHECK-NEXT: | | |-FieldDecl {{.*}} <line:38:25> col:25 implicit 'int &'
// CHECK-NEXT: | | `-FieldDecl {{.*}} <line:39:27> col:27 implicit 'int &'
// CHECK-NEXT: | |-CapturedDecl {{.*}} <<invalid sloc>> <invalid sloc> nothrow
// CHECK-NEXT: | | |-ForStmt {{.*}} <line:37:3, line:40:9>
// CHECK-NEXT: | | | |-DeclStmt {{.*}} <line:37:8, col:17>
// CHECK-NEXT: | | | | `-VarDecl {{.*}} <col:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | |-<<<NULL>>>
// CHECK-NEXT: | | | |-BinaryOperator {{.*}} <col:19, col:23> 'int' '<'
// CHECK-NEXT: | | | | |-ImplicitCastExpr {{.*}} <col:19> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | `-DeclRefExpr {{.*}} <col:19> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | `-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | | | |-UnaryOperator {{.*}} <col:26, col:27> 'int' postfix '++'
// CHECK-NEXT: | | | | `-DeclRefExpr {{.*}} <col:26> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | `-ForStmt {{.*}} <line:38:5, line:40:9>
// CHECK-NEXT: | | | |-DeclStmt {{.*}} <line:38:10, col:19>
// CHECK-NEXT: | | | | `-VarDecl {{.*}} <col:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | |-<<<NULL>>>
// CHECK-NEXT: | | | |-BinaryOperator {{.*}} <col:21, col:25> 'int' '<'
// CHECK-NEXT: | | | | |-ImplicitCastExpr {{.*}} <col:21> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | `-DeclRefExpr {{.*}} <col:21> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | `-ImplicitCastExpr {{.*}} <col:25> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | `-DeclRefExpr {{.*}} <col:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | | | |-UnaryOperator {{.*}} <col:28, col:29> 'int' postfix '++'
// CHECK-NEXT: | | | | `-DeclRefExpr {{.*}} <col:28> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | `-ForStmt {{.*}} <line:39:7, line:40:9>
// CHECK-NEXT: | | | |-DeclStmt {{.*}} <line:39:12, col:21>
// CHECK-NEXT: | | | | `-VarDecl {{.*}} <col:12, col:20> col:16 used i 'int' cinit
// CHECK-NEXT: | | | | `-IntegerLiteral {{.*}} <col:20> 'int' 0
// CHECK-NEXT: | | | |-<<<NULL>>>
// CHECK-NEXT: | | | |-BinaryOperator {{.*}} <col:23, col:27> 'int' '<'
// CHECK-NEXT: | | | | |-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | | `-ImplicitCastExpr {{.*}} <col:27> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | `-DeclRefExpr {{.*}} <col:27> 'int' lvalue ParmVar {{.*}} 'z' 'int'
// CHECK-NEXT: | | | |-UnaryOperator {{.*}} <col:30, col:31> 'int' postfix '++'
// CHECK-NEXT: | | | | `-DeclRefExpr {{.*}} <col:30> 'int' lvalue Var {{.*}} 'i' 'int'
// CHECK-NEXT: | | | `-NullStmt {{.*}} <line:40:9>
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <line:36:1> col:1 implicit .global_tid. 'const int *const restrict'
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit .bound_tid. 'const int *const restrict'
// CHECK-NEXT: | | |-ImplicitParamDecl {{.*}} <col:1> col:1 implicit __context 'struct (anonymous at {{.*}}ast-dump-openmp-teams-distribute-simd.c:36:1) *const restrict'
// CHECK-NEXT: | | |-VarDecl {{.*}} <line:37:8, col:16> col:12 used i 'int' cinit
// CHECK-NEXT: | | | `-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | |-VarDecl {{.*}} <line:38:10, col:18> col:14 used i 'int' cinit
// CHECK-NEXT: | | | `-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | `-VarDecl {{.*}} <line:39:12, col:20> col:16 used i 'int' cinit
// CHECK-NEXT: | | `-IntegerLiteral {{.*}} <col:20> 'int' 0
// CHECK-NEXT: | |-OMPCapturedExprDecl {{.*}} <line:37:23> col:23 implicit used .capture_expr. 'int'
// CHECK-NEXT: | | `-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: | |-OMPCapturedExprDecl {{.*}} <line:38:25> col:25 implicit used .capture_expr. 'int'
// CHECK-NEXT: | | `-ImplicitCastExpr {{.*}} <col:25> 'int' <LValueToRValue>
// CHECK-NEXT: | | `-DeclRefExpr {{.*}} <col:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: | `-OMPCapturedExprDecl {{.*}} <line:37:3, <invalid sloc>> col:3 implicit used .capture_expr. 'long'
// CHECK-NEXT: | `-BinaryOperator {{.*}} <col:3, <invalid sloc>> 'long' '-'
// CHECK-NEXT: | |-BinaryOperator {{.*}} <col:3, line:38:28> 'long' '*'
// CHECK-NEXT: | | |-ImplicitCastExpr {{.*}} <line:37:3, col:26> 'long' <IntegralCast>
// CHECK-NEXT: | | | `-BinaryOperator {{.*}} <col:3, col:26> 'int' '/'
// CHECK-NEXT: | | | |-ParenExpr {{.*}} <col:3> 'int'
// CHECK-NEXT: | | | | `-BinaryOperator {{.*}} <col:23, col:3> 'int' '-'
// CHECK-NEXT: | | | | |-ImplicitCastExpr {{.*}} <col:23> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | | `-DeclRefExpr {{.*}} <col:23> 'int' lvalue OMPCapturedExpr {{.*}} '.capture_expr.' 'int'
// CHECK-NEXT: | | | | `-ParenExpr {{.*}} <col:3> 'int'
// CHECK-NEXT: | | | | `-BinaryOperator {{.*}} <col:16, <invalid sloc>> 'int' '+'
// CHECK-NEXT: | | | | |-BinaryOperator {{.*}} <col:16, col:26> 'int' '-'
// CHECK-NEXT: | | | | | |-IntegerLiteral {{.*}} <col:16> 'int' 0
// CHECK-NEXT: | | | | | `-IntegerLiteral {{.*}} <col:26> 'int' 1
// CHECK-NEXT: | | | | `-IntegerLiteral {{.*}} <<invalid sloc>> 'int' 1
// CHECK-NEXT: | | | `-IntegerLiteral {{.*}} <col:26> 'int' 1
// CHECK-NEXT: | | `-ImplicitCastExpr {{.*}} <line:38:5, col:28> 'long' <IntegralCast>
// CHECK-NEXT: | | `-BinaryOperator {{.*}} <col:5, col:28> 'int' '/'
// CHECK-NEXT: | | |-ParenExpr {{.*}} <col:5> 'int'
// CHECK-NEXT: | | | `-BinaryOperator {{.*}} <col:25, col:5> 'int' '-'
// CHECK-NEXT: | | | |-ImplicitCastExpr {{.*}} <col:25> 'int' <LValueToRValue>
// CHECK-NEXT: | | | | `-DeclRefExpr {{.*}} <col:25> 'int' lvalue OMPCapturedExpr {{.*}} '.capture_expr.' 'int'
// CHECK-NEXT: | | | `-ParenExpr {{.*}} <col:5> 'int'
// CHECK-NEXT: | | | `-BinaryOperator {{.*}} <col:18, <invalid sloc>> 'int' '+'
// CHECK-NEXT: | | | |-BinaryOperator {{.*}} <col:18, col:28> 'int' '-'
// CHECK-NEXT: | | | | |-IntegerLiteral {{.*}} <col:18> 'int' 0
// CHECK-NEXT: | | | | `-IntegerLiteral {{.*}} <col:28> 'int' 1
// CHECK-NEXT: | | | `-IntegerLiteral {{.*}} <<invalid sloc>> 'int' 1
// CHECK-NEXT: | | `-IntegerLiteral {{.*}} <col:28> 'int' 1
// CHECK-NEXT: | `-ImplicitCastExpr {{.*}} <<invalid sloc>> 'long' <IntegralCast>
// CHECK-NEXT: | `-IntegerLiteral {{.*}} <<invalid sloc>> 'int' 1
// CHECK-NEXT: |-DeclRefExpr {{.*}} <line:37:23> 'int' lvalue ParmVar {{.*}} 'x' 'int'
// CHECK-NEXT: |-DeclRefExpr {{.*}} <line:38:25> 'int' lvalue ParmVar {{.*}} 'y' 'int'
// CHECK-NEXT: `-DeclRefExpr {{.*}} <line:39:27> 'int' lvalue ParmVar {{.*}} 'z' 'int'
|
enhance.c | /*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% EEEEE N N H H AAA N N CCCC EEEEE %
% E NN N H H A A NN N C E %
% EEE N N N HHHHH AAAAA N N N C EEE %
% E N NN H H A A N NN C E %
% EEEEE N N H H A A N N CCCC EEEEE %
% %
% %
% MagickCore Image Enhancement Methods %
% %
% Software Design %
% Cristy %
% July 1992 %
% %
% %
% Copyright 1999-2018 ImageMagick Studio LLC, a non-profit organization %
% dedicated to making software imaging solutions freely available. %
% %
% You may not use this file except in compliance with the License. You may %
% obtain a copy of the License at %
% %
% https://www.imagemagick.org/script/license.php %
% %
% Unless required by applicable law or agreed to in writing, software %
% distributed under the License is distributed on an "AS IS" BASIS, %
% WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. %
% See the License for the specific language governing permissions and %
% limitations under the License. %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
%
%
*/
/*
Include declarations.
*/
#include "magick/studio.h"
#include "magick/accelerate-private.h"
#include "magick/artifact.h"
#include "magick/attribute.h"
#include "magick/cache.h"
#include "magick/cache-view.h"
#include "magick/channel.h"
#include "magick/color.h"
#include "magick/color-private.h"
#include "magick/colorspace.h"
#include "magick/colorspace-private.h"
#include "magick/composite-private.h"
#include "magick/enhance.h"
#include "magick/exception.h"
#include "magick/exception-private.h"
#include "magick/fx.h"
#include "magick/gem.h"
#include "magick/geometry.h"
#include "magick/histogram.h"
#include "magick/image.h"
#include "magick/image-private.h"
#include "magick/memory_.h"
#include "magick/monitor.h"
#include "magick/monitor-private.h"
#include "magick/opencl.h"
#include "magick/opencl-private.h"
#include "magick/option.h"
#include "magick/pixel-accessor.h"
#include "magick/pixel-private.h"
#include "magick/quantum.h"
#include "magick/quantum-private.h"
#include "magick/resample.h"
#include "magick/resample-private.h"
#include "magick/resource_.h"
#include "magick/statistic.h"
#include "magick/string_.h"
#include "magick/string-private.h"
#include "magick/thread-private.h"
#include "magick/threshold.h"
#include "magick/token.h"
#include "magick/xml-tree.h"
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% A u t o G a m m a I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% AutoGammaImage() extract the 'mean' from the image and adjust the image
% to try make set its gamma appropriatally.
%
% The format of the AutoGammaImage method is:
%
% MagickBooleanType AutoGammaImage(Image *image)
% MagickBooleanType AutoGammaImageChannel(Image *image,
% const ChannelType channel)
%
% A description of each parameter follows:
%
% o image: The image to auto-level
%
% o channel: The channels to auto-level. If the special 'SyncChannels'
% flag is set all given channels is adjusted in the same way using the
% mean average of those channels.
%
*/
MagickExport MagickBooleanType AutoGammaImage(Image *image)
{
return(AutoGammaImageChannel(image,DefaultChannels));
}
MagickExport MagickBooleanType AutoGammaImageChannel(Image *image,
const ChannelType channel)
{
double
gamma,
mean,
logmean,
sans;
MagickStatusType
status;
logmean=log(0.5);
if ((channel & SyncChannels) != 0)
{
/*
Apply gamma correction equally accross all given channels
*/
(void) GetImageChannelMean(image,channel,&mean,&sans,&image->exception);
gamma=log(mean*QuantumScale)/logmean;
return(LevelImageChannel(image,channel,0.0,(double) QuantumRange,gamma));
}
/*
Auto-gamma each channel separateally
*/
status = MagickTrue;
if ((channel & RedChannel) != 0)
{
(void) GetImageChannelMean(image,RedChannel,&mean,&sans,
&image->exception);
gamma=log(mean*QuantumScale)/logmean;
status&=LevelImageChannel(image,RedChannel,0.0,(double) QuantumRange,
gamma);
}
if ((channel & GreenChannel) != 0)
{
(void) GetImageChannelMean(image,GreenChannel,&mean,&sans,
&image->exception);
gamma=log(mean*QuantumScale)/logmean;
status&=LevelImageChannel(image,GreenChannel,0.0,(double) QuantumRange,
gamma);
}
if ((channel & BlueChannel) != 0)
{
(void) GetImageChannelMean(image,BlueChannel,&mean,&sans,
&image->exception);
gamma=log(mean*QuantumScale)/logmean;
status&=LevelImageChannel(image,BlueChannel,0.0,(double) QuantumRange,
gamma);
}
if (((channel & OpacityChannel) != 0) &&
(image->matte != MagickFalse))
{
(void) GetImageChannelMean(image,OpacityChannel,&mean,&sans,
&image->exception);
gamma=log(mean*QuantumScale)/logmean;
status&=LevelImageChannel(image,OpacityChannel,0.0,(double) QuantumRange,
gamma);
}
if (((channel & IndexChannel) != 0) &&
(image->colorspace == CMYKColorspace))
{
(void) GetImageChannelMean(image,IndexChannel,&mean,&sans,
&image->exception);
gamma=log(mean*QuantumScale)/logmean;
status&=LevelImageChannel(image,IndexChannel,0.0,(double) QuantumRange,
gamma);
}
return(status != 0 ? MagickTrue : MagickFalse);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% A u t o L e v e l I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% AutoLevelImage() adjusts the levels of a particular image channel by
% scaling the minimum and maximum values to the full quantum range.
%
% The format of the LevelImage method is:
%
% MagickBooleanType AutoLevelImage(Image *image)
% MagickBooleanType AutoLevelImageChannel(Image *image,
% const ChannelType channel)
%
% A description of each parameter follows:
%
% o image: The image to auto-level
%
% o channel: The channels to auto-level. If the special 'SyncChannels'
% flag is set the min/max/mean value of all given channels is used for
% all given channels, to all channels in the same way.
%
*/
MagickExport MagickBooleanType AutoLevelImage(Image *image)
{
return(AutoLevelImageChannel(image,DefaultChannels));
}
MagickExport MagickBooleanType AutoLevelImageChannel(Image *image,
const ChannelType channel)
{
/*
Convenience method for a min/max histogram stretch.
*/
return(MinMaxStretchImage(image,channel,0.0,0.0));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% B r i g h t n e s s C o n t r a s t I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% BrightnessContrastImage() changes the brightness and/or contrast of an
% image. It converts the brightness and contrast parameters into slope and
% intercept and calls a polynomical function to apply to the image.
%
% The format of the BrightnessContrastImage method is:
%
% MagickBooleanType BrightnessContrastImage(Image *image,
% const double brightness,const double contrast)
% MagickBooleanType BrightnessContrastImageChannel(Image *image,
% const ChannelType channel,const double brightness,
% const double contrast)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o channel: the channel.
%
% o brightness: the brightness percent (-100 .. 100).
%
% o contrast: the contrast percent (-100 .. 100).
%
*/
MagickExport MagickBooleanType BrightnessContrastImage(Image *image,
const double brightness,const double contrast)
{
MagickBooleanType
status;
status=BrightnessContrastImageChannel(image,DefaultChannels,brightness,
contrast);
return(status);
}
MagickExport MagickBooleanType BrightnessContrastImageChannel(Image *image,
const ChannelType channel,const double brightness,const double contrast)
{
#define BrightnessContastImageTag "BrightnessContast/Image"
double
alpha,
intercept,
coefficients[2],
slope;
MagickBooleanType
status;
/*
Compute slope and intercept.
*/
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
alpha=contrast;
slope=tan((double) (MagickPI*(alpha/100.0+1.0)/4.0));
if (slope < 0.0)
slope=0.0;
intercept=brightness/100.0+((100-brightness)/200.0)*(1.0-slope);
coefficients[0]=slope;
coefficients[1]=intercept;
status=FunctionImageChannel(image,channel,PolynomialFunction,2,coefficients,
&image->exception);
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% C o l o r D e c i s i o n L i s t I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ColorDecisionListImage() accepts a lightweight Color Correction Collection
% (CCC) file which solely contains one or more color corrections and applies
% the correction to the image. Here is a sample CCC file:
%
% <ColorCorrectionCollection xmlns="urn:ASC:CDL:v1.2">
% <ColorCorrection id="cc03345">
% <SOPNode>
% <Slope> 0.9 1.2 0.5 </Slope>
% <Offset> 0.4 -0.5 0.6 </Offset>
% <Power> 1.0 0.8 1.5 </Power>
% </SOPNode>
% <SATNode>
% <Saturation> 0.85 </Saturation>
% </SATNode>
% </ColorCorrection>
% </ColorCorrectionCollection>
%
% which includes the slop, offset, and power for each of the RGB channels
% as well as the saturation.
%
% The format of the ColorDecisionListImage method is:
%
% MagickBooleanType ColorDecisionListImage(Image *image,
% const char *color_correction_collection)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o color_correction_collection: the color correction collection in XML.
%
*/
MagickExport MagickBooleanType ColorDecisionListImage(Image *image,
const char *color_correction_collection)
{
#define ColorDecisionListCorrectImageTag "ColorDecisionList/Image"
typedef struct _Correction
{
double
slope,
offset,
power;
} Correction;
typedef struct _ColorCorrection
{
Correction
red,
green,
blue;
double
saturation;
} ColorCorrection;
CacheView
*image_view;
char
token[MaxTextExtent];
ColorCorrection
color_correction;
const char
*content,
*p;
ExceptionInfo
*exception;
MagickBooleanType
status;
MagickOffsetType
progress;
PixelPacket
*cdl_map;
register ssize_t
i;
ssize_t
y;
XMLTreeInfo
*cc,
*ccc,
*sat,
*sop;
/*
Allocate and initialize cdl maps.
*/
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
if (color_correction_collection == (const char *) NULL)
return(MagickFalse);
ccc=NewXMLTree((const char *) color_correction_collection,&image->exception);
if (ccc == (XMLTreeInfo *) NULL)
return(MagickFalse);
cc=GetXMLTreeChild(ccc,"ColorCorrection");
if (cc == (XMLTreeInfo *) NULL)
{
ccc=DestroyXMLTree(ccc);
return(MagickFalse);
}
color_correction.red.slope=1.0;
color_correction.red.offset=0.0;
color_correction.red.power=1.0;
color_correction.green.slope=1.0;
color_correction.green.offset=0.0;
color_correction.green.power=1.0;
color_correction.blue.slope=1.0;
color_correction.blue.offset=0.0;
color_correction.blue.power=1.0;
color_correction.saturation=0.0;
sop=GetXMLTreeChild(cc,"SOPNode");
if (sop != (XMLTreeInfo *) NULL)
{
XMLTreeInfo
*offset,
*power,
*slope;
slope=GetXMLTreeChild(sop,"Slope");
if (slope != (XMLTreeInfo *) NULL)
{
content=GetXMLTreeContent(slope);
p=(const char *) content;
for (i=0; (*p != '\0') && (i < 3); i++)
{
GetNextToken(p,&p,MaxTextExtent,token);
if (*token == ',')
GetNextToken(p,&p,MaxTextExtent,token);
switch (i)
{
case 0:
{
color_correction.red.slope=StringToDouble(token,(char **) NULL);
break;
}
case 1:
{
color_correction.green.slope=StringToDouble(token,
(char **) NULL);
break;
}
case 2:
{
color_correction.blue.slope=StringToDouble(token,
(char **) NULL);
break;
}
}
}
}
offset=GetXMLTreeChild(sop,"Offset");
if (offset != (XMLTreeInfo *) NULL)
{
content=GetXMLTreeContent(offset);
p=(const char *) content;
for (i=0; (*p != '\0') && (i < 3); i++)
{
GetNextToken(p,&p,MaxTextExtent,token);
if (*token == ',')
GetNextToken(p,&p,MaxTextExtent,token);
switch (i)
{
case 0:
{
color_correction.red.offset=StringToDouble(token,
(char **) NULL);
break;
}
case 1:
{
color_correction.green.offset=StringToDouble(token,
(char **) NULL);
break;
}
case 2:
{
color_correction.blue.offset=StringToDouble(token,
(char **) NULL);
break;
}
}
}
}
power=GetXMLTreeChild(sop,"Power");
if (power != (XMLTreeInfo *) NULL)
{
content=GetXMLTreeContent(power);
p=(const char *) content;
for (i=0; (*p != '\0') && (i < 3); i++)
{
GetNextToken(p,&p,MaxTextExtent,token);
if (*token == ',')
GetNextToken(p,&p,MaxTextExtent,token);
switch (i)
{
case 0:
{
color_correction.red.power=StringToDouble(token,(char **) NULL);
break;
}
case 1:
{
color_correction.green.power=StringToDouble(token,
(char **) NULL);
break;
}
case 2:
{
color_correction.blue.power=StringToDouble(token,
(char **) NULL);
break;
}
}
}
}
}
sat=GetXMLTreeChild(cc,"SATNode");
if (sat != (XMLTreeInfo *) NULL)
{
XMLTreeInfo
*saturation;
saturation=GetXMLTreeChild(sat,"Saturation");
if (saturation != (XMLTreeInfo *) NULL)
{
content=GetXMLTreeContent(saturation);
p=(const char *) content;
GetNextToken(p,&p,MaxTextExtent,token);
color_correction.saturation=StringToDouble(token,(char **) NULL);
}
}
ccc=DestroyXMLTree(ccc);
if (image->debug != MagickFalse)
{
(void) LogMagickEvent(TransformEvent,GetMagickModule(),
" Color Correction Collection:");
(void) LogMagickEvent(TransformEvent,GetMagickModule(),
" color_correction.red.slope: %g",color_correction.red.slope);
(void) LogMagickEvent(TransformEvent,GetMagickModule(),
" color_correction.red.offset: %g",color_correction.red.offset);
(void) LogMagickEvent(TransformEvent,GetMagickModule(),
" color_correction.red.power: %g",color_correction.red.power);
(void) LogMagickEvent(TransformEvent,GetMagickModule(),
" color_correction.green.slope: %g",color_correction.green.slope);
(void) LogMagickEvent(TransformEvent,GetMagickModule(),
" color_correction.green.offset: %g",color_correction.green.offset);
(void) LogMagickEvent(TransformEvent,GetMagickModule(),
" color_correction.green.power: %g",color_correction.green.power);
(void) LogMagickEvent(TransformEvent,GetMagickModule(),
" color_correction.blue.slope: %g",color_correction.blue.slope);
(void) LogMagickEvent(TransformEvent,GetMagickModule(),
" color_correction.blue.offset: %g",color_correction.blue.offset);
(void) LogMagickEvent(TransformEvent,GetMagickModule(),
" color_correction.blue.power: %g",color_correction.blue.power);
(void) LogMagickEvent(TransformEvent,GetMagickModule(),
" color_correction.saturation: %g",color_correction.saturation);
}
cdl_map=(PixelPacket *) AcquireQuantumMemory(MaxMap+1UL,sizeof(*cdl_map));
if (cdl_map == (PixelPacket *) NULL)
ThrowBinaryException(ResourceLimitError,"MemoryAllocationFailed",
image->filename);
for (i=0; i <= (ssize_t) MaxMap; i++)
{
cdl_map[i].red=ClampToQuantum((MagickRealType) ScaleMapToQuantum((
MagickRealType) (MaxMap*(pow(color_correction.red.slope*i/MaxMap+
color_correction.red.offset,color_correction.red.power)))));
cdl_map[i].green=ClampToQuantum((MagickRealType) ScaleMapToQuantum((
MagickRealType) (MaxMap*(pow(color_correction.green.slope*i/MaxMap+
color_correction.green.offset,color_correction.green.power)))));
cdl_map[i].blue=ClampToQuantum((MagickRealType) ScaleMapToQuantum((
MagickRealType) (MaxMap*(pow(color_correction.blue.slope*i/MaxMap+
color_correction.blue.offset,color_correction.blue.power)))));
}
if (image->storage_class == PseudoClass)
{
/*
Apply transfer function to colormap.
*/
for (i=0; i < (ssize_t) image->colors; i++)
{
double
luma;
luma=0.212656*image->colormap[i].red+0.715158*image->colormap[i].green+
0.072186*image->colormap[i].blue;
image->colormap[i].red=ClampToQuantum(luma+color_correction.saturation*
cdl_map[ScaleQuantumToMap(image->colormap[i].red)].red-luma);
image->colormap[i].green=ClampToQuantum(luma+
color_correction.saturation*cdl_map[ScaleQuantumToMap(
image->colormap[i].green)].green-luma);
image->colormap[i].blue=ClampToQuantum(luma+color_correction.saturation*
cdl_map[ScaleQuantumToMap(image->colormap[i].blue)].blue-luma);
}
}
/*
Apply transfer function to image.
*/
status=MagickTrue;
progress=0;
exception=(&image->exception);
image_view=AcquireAuthenticCacheView(image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static,4) shared(progress,status) \
magick_number_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
double
luma;
register PixelPacket
*magick_restrict q;
register ssize_t
x;
if (status == MagickFalse)
continue;
q=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,exception);
if (q == (PixelPacket *) NULL)
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
luma=0.212656*GetPixelRed(q)+0.715158*GetPixelGreen(q)+
0.072186*GetPixelBlue(q);
SetPixelRed(q,ClampToQuantum(luma+color_correction.saturation*
(cdl_map[ScaleQuantumToMap(GetPixelRed(q))].red-luma)));
SetPixelGreen(q,ClampToQuantum(luma+color_correction.saturation*
(cdl_map[ScaleQuantumToMap(GetPixelGreen(q))].green-luma)));
SetPixelBlue(q,ClampToQuantum(luma+color_correction.saturation*
(cdl_map[ScaleQuantumToMap(GetPixelBlue(q))].blue-luma)));
q++;
}
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp critical (MagickCore_ColorDecisionListImageChannel)
#endif
proceed=SetImageProgress(image,ColorDecisionListCorrectImageTag,
progress++,image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
image_view=DestroyCacheView(image_view);
cdl_map=(PixelPacket *) RelinquishMagickMemory(cdl_map);
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% C l u t I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ClutImage() replaces each color value in the given image, by using it as an
% index to lookup a replacement color value in a Color Look UP Table in the
% form of an image. The values are extracted along a diagonal of the CLUT
% image so either a horizontal or vertial gradient image can be used.
%
% Typically this is used to either re-color a gray-scale image according to a
% color gradient in the CLUT image, or to perform a freeform histogram
% (level) adjustment according to the (typically gray-scale) gradient in the
% CLUT image.
%
% When the 'channel' mask includes the matte/alpha transparency channel but
% one image has no such channel it is assumed that that image is a simple
% gray-scale image that will effect the alpha channel values, either for
% gray-scale coloring (with transparent or semi-transparent colors), or
% a histogram adjustment of existing alpha channel values. If both images
% have matte channels, direct and normal indexing is applied, which is rarely
% used.
%
% The format of the ClutImage method is:
%
% MagickBooleanType ClutImage(Image *image,Image *clut_image)
% MagickBooleanType ClutImageChannel(Image *image,
% const ChannelType channel,Image *clut_image)
%
% A description of each parameter follows:
%
% o image: the image, which is replaced by indexed CLUT values
%
% o clut_image: the color lookup table image for replacement color values.
%
% o channel: the channel.
%
*/
MagickExport MagickBooleanType ClutImage(Image *image,const Image *clut_image)
{
return(ClutImageChannel(image,DefaultChannels,clut_image));
}
MagickExport MagickBooleanType ClutImageChannel(Image *image,
const ChannelType channel,const Image *clut_image)
{
#define ClutImageTag "Clut/Image"
CacheView
*clut_view,
*image_view;
ExceptionInfo
*exception;
MagickBooleanType
status;
MagickOffsetType
progress;
MagickPixelPacket
*clut_map;
register ssize_t
i;
ssize_t
adjust,
y;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(clut_image != (Image *) NULL);
assert(clut_image->signature == MagickCoreSignature);
if (SetImageStorageClass(image,DirectClass) == MagickFalse)
return(MagickFalse);
if ((IsGrayColorspace(image->colorspace) != MagickFalse) &&
(IsGrayColorspace(clut_image->colorspace) == MagickFalse))
(void) SetImageColorspace(image,sRGBColorspace);
clut_map=(MagickPixelPacket *) AcquireQuantumMemory(MaxMap+1UL,
sizeof(*clut_map));
if (clut_map == (MagickPixelPacket *) NULL)
ThrowBinaryException(ResourceLimitError,"MemoryAllocationFailed",
image->filename);
/*
Clut image.
*/
status=MagickTrue;
progress=0;
adjust=(ssize_t) (clut_image->interpolate == IntegerInterpolatePixel ? 0 : 1);
exception=(&image->exception);
clut_view=AcquireAuthenticCacheView(clut_image,exception);
for (i=0; i <= (ssize_t) MaxMap; i++)
{
GetMagickPixelPacket(clut_image,clut_map+i);
status=InterpolateMagickPixelPacket(clut_image,clut_view,
UndefinedInterpolatePixel,(double) i*(clut_image->columns-adjust)/MaxMap,
(double) i*(clut_image->rows-adjust)/MaxMap,clut_map+i,exception);
if (status == MagickFalse)
break;
}
clut_view=DestroyCacheView(clut_view);
image_view=AcquireAuthenticCacheView(image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static,4) shared(progress,status) \
magick_number_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
MagickPixelPacket
pixel;
register IndexPacket
*magick_restrict indexes;
register PixelPacket
*magick_restrict q;
register ssize_t
x;
if (status == MagickFalse)
continue;
q=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,exception);
if (q == (PixelPacket *) NULL)
{
status=MagickFalse;
continue;
}
indexes=GetCacheViewAuthenticIndexQueue(image_view);
GetMagickPixelPacket(image,&pixel);
for (x=0; x < (ssize_t) image->columns; x++)
{
SetMagickPixelPacket(image,q,indexes+x,&pixel);
if ((channel & RedChannel) != 0)
SetPixelRed(q,ClampPixelRed(clut_map+
ScaleQuantumToMap(GetPixelRed(q))));
if ((channel & GreenChannel) != 0)
SetPixelGreen(q,ClampPixelGreen(clut_map+
ScaleQuantumToMap(GetPixelGreen(q))));
if ((channel & BlueChannel) != 0)
SetPixelBlue(q,ClampPixelBlue(clut_map+
ScaleQuantumToMap(GetPixelBlue(q))));
if ((channel & OpacityChannel) != 0)
{
if (clut_image->matte == MagickFalse)
SetPixelAlpha(q,MagickPixelIntensityToQuantum(clut_map+
ScaleQuantumToMap((Quantum) GetPixelAlpha(q))));
else
if (image->matte == MagickFalse)
SetPixelOpacity(q,ClampPixelOpacity(clut_map+
ScaleQuantumToMap((Quantum) MagickPixelIntensity(&pixel))));
else
SetPixelOpacity(q,ClampPixelOpacity(
clut_map+ScaleQuantumToMap(GetPixelOpacity(q))));
}
if (((channel & IndexChannel) != 0) &&
(image->colorspace == CMYKColorspace))
SetPixelIndex(indexes+x,ClampToQuantum((clut_map+(ssize_t)
GetPixelIndex(indexes+x))->index));
q++;
}
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp critical (MagickCore_ClutImageChannel)
#endif
proceed=SetImageProgress(image,ClutImageTag,progress++,image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
image_view=DestroyCacheView(image_view);
clut_map=(MagickPixelPacket *) RelinquishMagickMemory(clut_map);
if ((clut_image->matte != MagickFalse) && ((channel & OpacityChannel) != 0))
(void) SetImageAlphaChannel(image,ActivateAlphaChannel);
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% C o n t r a s t I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ContrastImage() enhances the intensity differences between the lighter and
% darker elements of the image. Set sharpen to a MagickTrue to increase the
% image contrast otherwise the contrast is reduced.
%
% The format of the ContrastImage method is:
%
% MagickBooleanType ContrastImage(Image *image,
% const MagickBooleanType sharpen)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o sharpen: Increase or decrease image contrast.
%
*/
static void Contrast(const int sign,Quantum *red,Quantum *green,Quantum *blue)
{
double
brightness,
hue,
saturation;
/*
Enhance contrast: dark color become darker, light color become lighter.
*/
assert(red != (Quantum *) NULL);
assert(green != (Quantum *) NULL);
assert(blue != (Quantum *) NULL);
hue=0.0;
saturation=0.0;
brightness=0.0;
ConvertRGBToHSB(*red,*green,*blue,&hue,&saturation,&brightness);
brightness+=0.5*sign*(0.5*(sin((double) (MagickPI*(brightness-0.5)))+1.0)-
brightness);
if (brightness > 1.0)
brightness=1.0;
else
if (brightness < 0.0)
brightness=0.0;
ConvertHSBToRGB(hue,saturation,brightness,red,green,blue);
}
MagickExport MagickBooleanType ContrastImage(Image *image,
const MagickBooleanType sharpen)
{
#define ContrastImageTag "Contrast/Image"
CacheView
*image_view;
ExceptionInfo
*exception;
int
sign;
MagickBooleanType
status;
MagickOffsetType
progress;
register ssize_t
i;
ssize_t
y;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
sign=sharpen != MagickFalse ? 1 : -1;
if (image->storage_class == PseudoClass)
{
/*
Contrast enhance colormap.
*/
for (i=0; i < (ssize_t) image->colors; i++)
Contrast(sign,&image->colormap[i].red,&image->colormap[i].green,
&image->colormap[i].blue);
}
/*
Contrast enhance image.
*/
#if defined(MAGICKCORE_OPENCL_SUPPORT)
status=AccelerateContrastImage(image,sharpen,&image->exception);
if (status != MagickFalse)
return status;
#endif
status=MagickTrue;
progress=0;
exception=(&image->exception);
image_view=AcquireAuthenticCacheView(image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static,4) shared(progress,status) \
magick_number_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
Quantum
blue,
green,
red;
register PixelPacket
*magick_restrict q;
register ssize_t
x;
if (status == MagickFalse)
continue;
q=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,exception);
if (q == (PixelPacket *) NULL)
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
red=GetPixelRed(q);
green=GetPixelGreen(q);
blue=GetPixelBlue(q);
Contrast(sign,&red,&green,&blue);
SetPixelRed(q,red);
SetPixelGreen(q,green);
SetPixelBlue(q,blue);
q++;
}
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp critical (MagickCore_ContrastImage)
#endif
proceed=SetImageProgress(image,ContrastImageTag,progress++,image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
image_view=DestroyCacheView(image_view);
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% C o n t r a s t S t r e t c h I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ContrastStretchImage() is a simple image enhancement technique that attempts
% to improve the contrast in an image by `stretching' the range of intensity
% values it contains to span a desired range of values. It differs from the
% more sophisticated histogram equalization in that it can only apply a
% linear scaling function to the image pixel values. As a result the
% `enhancement' is less harsh.
%
% The format of the ContrastStretchImage method is:
%
% MagickBooleanType ContrastStretchImage(Image *image,
% const char *levels)
% MagickBooleanType ContrastStretchImageChannel(Image *image,
% const size_t channel,const double black_point,
% const double white_point)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o channel: the channel.
%
% o black_point: the black point.
%
% o white_point: the white point.
%
% o levels: Specify the levels where the black and white points have the
% range of 0 to number-of-pixels (e.g. 1%, 10x90%, etc.).
%
*/
MagickExport MagickBooleanType ContrastStretchImage(Image *image,
const char *levels)
{
double
black_point,
white_point;
GeometryInfo
geometry_info;
MagickBooleanType
status;
MagickStatusType
flags;
/*
Parse levels.
*/
if (levels == (char *) NULL)
return(MagickFalse);
flags=ParseGeometry(levels,&geometry_info);
black_point=geometry_info.rho;
white_point=(double) image->columns*image->rows;
if ((flags & SigmaValue) != 0)
white_point=geometry_info.sigma;
if ((flags & PercentValue) != 0)
{
black_point*=(double) QuantumRange/100.0;
white_point*=(double) QuantumRange/100.0;
}
if ((flags & SigmaValue) == 0)
white_point=(double) image->columns*image->rows-black_point;
status=ContrastStretchImageChannel(image,DefaultChannels,black_point,
white_point);
return(status);
}
MagickExport MagickBooleanType ContrastStretchImageChannel(Image *image,
const ChannelType channel,const double black_point,const double white_point)
{
#define MaxRange(color) ((MagickRealType) ScaleQuantumToMap((Quantum) (color)))
#define ContrastStretchImageTag "ContrastStretch/Image"
CacheView
*image_view;
double
intensity;
ExceptionInfo
*exception;
MagickBooleanType
status;
MagickOffsetType
progress;
MagickPixelPacket
black,
*histogram,
white;
QuantumPixelPacket
*stretch_map;
register ssize_t
i;
ssize_t
y;
/*
Allocate histogram and stretch map.
*/
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
#if defined(MAGICKCORE_OPENCL_SUPPORT) && 0
/* Call OpenCL version */
status=AccelerateContrastStretchImageChannel(image,channel,black_point,
white_point,&image->exception);
if (status != MagickFalse)
return status;
#endif
histogram=(MagickPixelPacket *) AcquireQuantumMemory(MaxMap+1UL,
sizeof(*histogram));
stretch_map=(QuantumPixelPacket *) AcquireQuantumMemory(MaxMap+1UL,
sizeof(*stretch_map));
if ((histogram == (MagickPixelPacket *) NULL) ||
(stretch_map == (QuantumPixelPacket *) NULL))
{
if (stretch_map != (QuantumPixelPacket *) NULL)
stretch_map=(QuantumPixelPacket *) RelinquishMagickMemory(stretch_map);
if (histogram != (MagickPixelPacket *) NULL)
histogram=(MagickPixelPacket *) RelinquishMagickMemory(histogram);
ThrowBinaryException(ResourceLimitError,"MemoryAllocationFailed",
image->filename);
}
/*
Form histogram.
*/
exception=(&image->exception);
if (SetImageGray(image,exception) != MagickFalse)
(void) SetImageColorspace(image,GRAYColorspace);
status=MagickTrue;
(void) ResetMagickMemory(histogram,0,(MaxMap+1)*sizeof(*histogram));
image_view=AcquireAuthenticCacheView(image,exception);
for (y=0; y < (ssize_t) image->rows; y++)
{
register const PixelPacket
*magick_restrict p;
register IndexPacket
*magick_restrict indexes;
register ssize_t
x;
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(image_view,0,y,image->columns,1,exception);
if (p == (const PixelPacket *) NULL)
{
status=MagickFalse;
continue;
}
indexes=GetCacheViewAuthenticIndexQueue(image_view);
if ((channel & SyncChannels) != 0)
for (x=0; x < (ssize_t) image->columns; x++)
{
Quantum
intensity;
intensity=ClampToQuantum(GetPixelIntensity(image,p));
histogram[ScaleQuantumToMap(intensity)].red++;
histogram[ScaleQuantumToMap(intensity)].green++;
histogram[ScaleQuantumToMap(intensity)].blue++;
histogram[ScaleQuantumToMap(intensity)].index++;
p++;
}
else
for (x=0; x < (ssize_t) image->columns; x++)
{
if ((channel & RedChannel) != 0)
histogram[ScaleQuantumToMap(GetPixelRed(p))].red++;
if ((channel & GreenChannel) != 0)
histogram[ScaleQuantumToMap(GetPixelGreen(p))].green++;
if ((channel & BlueChannel) != 0)
histogram[ScaleQuantumToMap(GetPixelBlue(p))].blue++;
if ((channel & OpacityChannel) != 0)
histogram[ScaleQuantumToMap(GetPixelOpacity(p))].opacity++;
if (((channel & IndexChannel) != 0) &&
(image->colorspace == CMYKColorspace))
histogram[ScaleQuantumToMap(GetPixelIndex(indexes+x))].index++;
p++;
}
}
/*
Find the histogram boundaries by locating the black/white levels.
*/
black.red=0.0;
white.red=MaxRange(QuantumRange);
if ((channel & RedChannel) != 0)
{
intensity=0.0;
for (i=0; i <= (ssize_t) MaxMap; i++)
{
intensity+=histogram[i].red;
if (intensity > black_point)
break;
}
black.red=(MagickRealType) i;
intensity=0.0;
for (i=(ssize_t) MaxMap; i != 0; i--)
{
intensity+=histogram[i].red;
if (intensity > ((double) image->columns*image->rows-white_point))
break;
}
white.red=(MagickRealType) i;
}
black.green=0.0;
white.green=MaxRange(QuantumRange);
if ((channel & GreenChannel) != 0)
{
intensity=0.0;
for (i=0; i <= (ssize_t) MaxMap; i++)
{
intensity+=histogram[i].green;
if (intensity > black_point)
break;
}
black.green=(MagickRealType) i;
intensity=0.0;
for (i=(ssize_t) MaxMap; i != 0; i--)
{
intensity+=histogram[i].green;
if (intensity > ((double) image->columns*image->rows-white_point))
break;
}
white.green=(MagickRealType) i;
}
black.blue=0.0;
white.blue=MaxRange(QuantumRange);
if ((channel & BlueChannel) != 0)
{
intensity=0.0;
for (i=0; i <= (ssize_t) MaxMap; i++)
{
intensity+=histogram[i].blue;
if (intensity > black_point)
break;
}
black.blue=(MagickRealType) i;
intensity=0.0;
for (i=(ssize_t) MaxMap; i != 0; i--)
{
intensity+=histogram[i].blue;
if (intensity > ((double) image->columns*image->rows-white_point))
break;
}
white.blue=(MagickRealType) i;
}
black.opacity=0.0;
white.opacity=MaxRange(QuantumRange);
if ((channel & OpacityChannel) != 0)
{
intensity=0.0;
for (i=0; i <= (ssize_t) MaxMap; i++)
{
intensity+=histogram[i].opacity;
if (intensity > black_point)
break;
}
black.opacity=(MagickRealType) i;
intensity=0.0;
for (i=(ssize_t) MaxMap; i != 0; i--)
{
intensity+=histogram[i].opacity;
if (intensity > ((double) image->columns*image->rows-white_point))
break;
}
white.opacity=(MagickRealType) i;
}
black.index=0.0;
white.index=MaxRange(QuantumRange);
if (((channel & IndexChannel) != 0) && (image->colorspace == CMYKColorspace))
{
intensity=0.0;
for (i=0; i <= (ssize_t) MaxMap; i++)
{
intensity+=histogram[i].index;
if (intensity > black_point)
break;
}
black.index=(MagickRealType) i;
intensity=0.0;
for (i=(ssize_t) MaxMap; i != 0; i--)
{
intensity+=histogram[i].index;
if (intensity > ((double) image->columns*image->rows-white_point))
break;
}
white.index=(MagickRealType) i;
}
histogram=(MagickPixelPacket *) RelinquishMagickMemory(histogram);
/*
Stretch the histogram to create the stretched image mapping.
*/
(void) ResetMagickMemory(stretch_map,0,(MaxMap+1)*sizeof(*stretch_map));
for (i=0; i <= (ssize_t) MaxMap; i++)
{
if ((channel & RedChannel) != 0)
{
if (i < (ssize_t) black.red)
stretch_map[i].red=(Quantum) 0;
else
if (i > (ssize_t) white.red)
stretch_map[i].red=QuantumRange;
else
if (black.red != white.red)
stretch_map[i].red=ScaleMapToQuantum((MagickRealType) (MaxMap*
(i-black.red)/(white.red-black.red)));
}
if ((channel & GreenChannel) != 0)
{
if (i < (ssize_t) black.green)
stretch_map[i].green=0;
else
if (i > (ssize_t) white.green)
stretch_map[i].green=QuantumRange;
else
if (black.green != white.green)
stretch_map[i].green=ScaleMapToQuantum((MagickRealType) (MaxMap*
(i-black.green)/(white.green-black.green)));
}
if ((channel & BlueChannel) != 0)
{
if (i < (ssize_t) black.blue)
stretch_map[i].blue=0;
else
if (i > (ssize_t) white.blue)
stretch_map[i].blue= QuantumRange;
else
if (black.blue != white.blue)
stretch_map[i].blue=ScaleMapToQuantum((MagickRealType) (MaxMap*
(i-black.blue)/(white.blue-black.blue)));
}
if ((channel & OpacityChannel) != 0)
{
if (i < (ssize_t) black.opacity)
stretch_map[i].opacity=0;
else
if (i > (ssize_t) white.opacity)
stretch_map[i].opacity=QuantumRange;
else
if (black.opacity != white.opacity)
stretch_map[i].opacity=ScaleMapToQuantum((MagickRealType) (MaxMap*
(i-black.opacity)/(white.opacity-black.opacity)));
}
if (((channel & IndexChannel) != 0) &&
(image->colorspace == CMYKColorspace))
{
if (i < (ssize_t) black.index)
stretch_map[i].index=0;
else
if (i > (ssize_t) white.index)
stretch_map[i].index=QuantumRange;
else
if (black.index != white.index)
stretch_map[i].index=ScaleMapToQuantum((MagickRealType) (MaxMap*
(i-black.index)/(white.index-black.index)));
}
}
/*
Stretch the image.
*/
if (((channel & OpacityChannel) != 0) || (((channel & IndexChannel) != 0) &&
(image->colorspace == CMYKColorspace)))
image->storage_class=DirectClass;
if (image->storage_class == PseudoClass)
{
/*
Stretch colormap.
*/
for (i=0; i < (ssize_t) image->colors; i++)
{
if ((channel & RedChannel) != 0)
{
if (black.red != white.red)
image->colormap[i].red=stretch_map[
ScaleQuantumToMap(image->colormap[i].red)].red;
}
if ((channel & GreenChannel) != 0)
{
if (black.green != white.green)
image->colormap[i].green=stretch_map[
ScaleQuantumToMap(image->colormap[i].green)].green;
}
if ((channel & BlueChannel) != 0)
{
if (black.blue != white.blue)
image->colormap[i].blue=stretch_map[
ScaleQuantumToMap(image->colormap[i].blue)].blue;
}
if ((channel & OpacityChannel) != 0)
{
if (black.opacity != white.opacity)
image->colormap[i].opacity=stretch_map[
ScaleQuantumToMap(image->colormap[i].opacity)].opacity;
}
}
}
/*
Stretch image.
*/
status=MagickTrue;
progress=0;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static,4) shared(progress,status) \
magick_number_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
register IndexPacket
*magick_restrict indexes;
register PixelPacket
*magick_restrict q;
register ssize_t
x;
if (status == MagickFalse)
continue;
q=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,exception);
if (q == (PixelPacket *) NULL)
{
status=MagickFalse;
continue;
}
indexes=GetCacheViewAuthenticIndexQueue(image_view);
for (x=0; x < (ssize_t) image->columns; x++)
{
if ((channel & RedChannel) != 0)
{
if (black.red != white.red)
SetPixelRed(q,stretch_map[
ScaleQuantumToMap(GetPixelRed(q))].red);
}
if ((channel & GreenChannel) != 0)
{
if (black.green != white.green)
SetPixelGreen(q,stretch_map[
ScaleQuantumToMap(GetPixelGreen(q))].green);
}
if ((channel & BlueChannel) != 0)
{
if (black.blue != white.blue)
SetPixelBlue(q,stretch_map[
ScaleQuantumToMap(GetPixelBlue(q))].blue);
}
if ((channel & OpacityChannel) != 0)
{
if (black.opacity != white.opacity)
SetPixelOpacity(q,stretch_map[
ScaleQuantumToMap(GetPixelOpacity(q))].opacity);
}
if (((channel & IndexChannel) != 0) &&
(image->colorspace == CMYKColorspace))
{
if (black.index != white.index)
SetPixelIndex(indexes+x,stretch_map[
ScaleQuantumToMap(GetPixelIndex(indexes+x))].index);
}
q++;
}
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp critical (MagickCore_ContrastStretchImageChannel)
#endif
proceed=SetImageProgress(image,ContrastStretchImageTag,progress++,
image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
image_view=DestroyCacheView(image_view);
stretch_map=(QuantumPixelPacket *) RelinquishMagickMemory(stretch_map);
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% E n h a n c e I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% EnhanceImage() applies a digital filter that improves the quality of a
% noisy image.
%
% The format of the EnhanceImage method is:
%
% Image *EnhanceImage(const Image *image,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *EnhanceImage(const Image *image,ExceptionInfo *exception)
{
#define EnhancePixel(weight) \
mean=QuantumScale*((double) GetPixelRed(r)+pixel.red)/2.0; \
distance=QuantumScale*((double) GetPixelRed(r)-pixel.red); \
distance_squared=(4.0+mean)*distance*distance; \
mean=QuantumScale*((double) GetPixelGreen(r)+pixel.green)/2.0; \
distance=QuantumScale*((double) GetPixelGreen(r)-pixel.green); \
distance_squared+=(7.0-mean)*distance*distance; \
mean=QuantumScale*((double) GetPixelBlue(r)+pixel.blue)/2.0; \
distance=QuantumScale*((double) GetPixelBlue(r)-pixel.blue); \
distance_squared+=(5.0-mean)*distance*distance; \
mean=QuantumScale*((double) GetPixelOpacity(r)+pixel.opacity)/2.0; \
distance=QuantumScale*((double) GetPixelOpacity(r)-pixel.opacity); \
distance_squared+=(5.0-mean)*distance*distance; \
if (distance_squared < 0.069) \
{ \
aggregate.red+=(weight)*GetPixelRed(r); \
aggregate.green+=(weight)*GetPixelGreen(r); \
aggregate.blue+=(weight)*GetPixelBlue(r); \
aggregate.opacity+=(weight)*GetPixelOpacity(r); \
total_weight+=(weight); \
} \
r++;
#define EnhanceImageTag "Enhance/Image"
CacheView
*enhance_view,
*image_view;
Image
*enhance_image;
MagickBooleanType
status;
MagickOffsetType
progress;
MagickPixelPacket
zero;
ssize_t
y;
/*
Initialize enhanced image attributes.
*/
assert(image != (const Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickCoreSignature);
if ((image->columns < 5) || (image->rows < 5))
return((Image *) NULL);
enhance_image=CloneImage(image,image->columns,image->rows,MagickTrue,
exception);
if (enhance_image == (Image *) NULL)
return((Image *) NULL);
if (SetImageStorageClass(enhance_image,DirectClass) == MagickFalse)
{
InheritException(exception,&enhance_image->exception);
enhance_image=DestroyImage(enhance_image);
return((Image *) NULL);
}
/*
Enhance image.
*/
status=MagickTrue;
progress=0;
(void) ResetMagickMemory(&zero,0,sizeof(zero));
image_view=AcquireAuthenticCacheView(image,exception);
enhance_view=AcquireAuthenticCacheView(enhance_image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static,4) shared(progress,status) \
magick_number_threads(image,enhance_image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
register const PixelPacket
*magick_restrict p;
register PixelPacket
*magick_restrict q;
register ssize_t
x;
/*
Read another scan line.
*/
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(image_view,-2,y-2,image->columns+4,5,exception);
q=QueueCacheViewAuthenticPixels(enhance_view,0,y,enhance_image->columns,1,
exception);
if ((p == (const PixelPacket *) NULL) || (q == (PixelPacket *) NULL))
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
double
distance,
distance_squared,
mean,
total_weight;
MagickPixelPacket
aggregate;
PixelPacket
pixel;
register const PixelPacket
*magick_restrict r;
/*
Compute weighted average of target pixel color components.
*/
aggregate=zero;
total_weight=0.0;
r=p+2*(image->columns+4)+2;
pixel=(*r);
r=p;
EnhancePixel(5.0); EnhancePixel(8.0); EnhancePixel(10.0);
EnhancePixel(8.0); EnhancePixel(5.0);
r=p+(image->columns+4);
EnhancePixel(8.0); EnhancePixel(20.0); EnhancePixel(40.0);
EnhancePixel(20.0); EnhancePixel(8.0);
r=p+2*(image->columns+4);
EnhancePixel(10.0); EnhancePixel(40.0); EnhancePixel(80.0);
EnhancePixel(40.0); EnhancePixel(10.0);
r=p+3*(image->columns+4);
EnhancePixel(8.0); EnhancePixel(20.0); EnhancePixel(40.0);
EnhancePixel(20.0); EnhancePixel(8.0);
r=p+4*(image->columns+4);
EnhancePixel(5.0); EnhancePixel(8.0); EnhancePixel(10.0);
EnhancePixel(8.0); EnhancePixel(5.0);
if (total_weight > MagickEpsilon)
{
SetPixelRed(q,(aggregate.red+(total_weight/2)-1)/total_weight);
SetPixelGreen(q,(aggregate.green+(total_weight/2)-1)/total_weight);
SetPixelBlue(q,(aggregate.blue+(total_weight/2)-1)/total_weight);
SetPixelOpacity(q,(aggregate.opacity+(total_weight/2)-1)/
total_weight);
}
p++;
q++;
}
if (SyncCacheViewAuthenticPixels(enhance_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp critical (MagickCore_EnhanceImage)
#endif
proceed=SetImageProgress(image,EnhanceImageTag,progress++,image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
enhance_view=DestroyCacheView(enhance_view);
image_view=DestroyCacheView(image_view);
if (status == MagickFalse)
enhance_image=DestroyImage(enhance_image);
return(enhance_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% E q u a l i z e I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% EqualizeImage() applies a histogram equalization to the image.
%
% The format of the EqualizeImage method is:
%
% MagickBooleanType EqualizeImage(Image *image)
% MagickBooleanType EqualizeImageChannel(Image *image,
% const ChannelType channel)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o channel: the channel.
%
*/
MagickExport MagickBooleanType EqualizeImage(Image *image)
{
return(EqualizeImageChannel(image,DefaultChannels));
}
MagickExport MagickBooleanType EqualizeImageChannel(Image *image,
const ChannelType channel)
{
#define EqualizeImageTag "Equalize/Image"
CacheView
*image_view;
ExceptionInfo
*exception;
MagickBooleanType
status;
MagickOffsetType
progress;
MagickPixelPacket
black,
*histogram,
intensity,
*map,
white;
QuantumPixelPacket
*equalize_map;
register ssize_t
i;
ssize_t
y;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
#if defined(MAGICKCORE_OPENCL_SUPPORT)
/* Call OpenCL version */
status=AccelerateEqualizeImage(image,channel,&image->exception);
if (status != MagickFalse)
return status;
#endif
/*
Allocate and initialize histogram arrays.
*/
equalize_map=(QuantumPixelPacket *) AcquireQuantumMemory(MaxMap+1UL,
sizeof(*equalize_map));
histogram=(MagickPixelPacket *) AcquireQuantumMemory(MaxMap+1UL,
sizeof(*histogram));
map=(MagickPixelPacket *) AcquireQuantumMemory(MaxMap+1UL,sizeof(*map));
if ((equalize_map == (QuantumPixelPacket *) NULL) ||
(histogram == (MagickPixelPacket *) NULL) ||
(map == (MagickPixelPacket *) NULL))
{
if (map != (MagickPixelPacket *) NULL)
map=(MagickPixelPacket *) RelinquishMagickMemory(map);
if (histogram != (MagickPixelPacket *) NULL)
histogram=(MagickPixelPacket *) RelinquishMagickMemory(histogram);
if (equalize_map != (QuantumPixelPacket *) NULL)
equalize_map=(QuantumPixelPacket *) RelinquishMagickMemory(
equalize_map);
ThrowBinaryException(ResourceLimitError,"MemoryAllocationFailed",
image->filename);
}
/*
Form histogram.
*/
(void) ResetMagickMemory(histogram,0,(MaxMap+1)*sizeof(*histogram));
exception=(&image->exception);
image_view=AcquireVirtualCacheView(image,exception);
for (y=0; y < (ssize_t) image->rows; y++)
{
register const IndexPacket
*magick_restrict indexes;
register const PixelPacket
*magick_restrict p;
register ssize_t
x;
p=GetCacheViewVirtualPixels(image_view,0,y,image->columns,1,exception);
if (p == (const PixelPacket *) NULL)
break;
indexes=GetCacheViewVirtualIndexQueue(image_view);
if ((channel & SyncChannels) != 0)
for (x=0; x < (ssize_t) image->columns; x++)
{
MagickRealType intensity=GetPixelIntensity(image,p);
histogram[ScaleQuantumToMap(ClampToQuantum(intensity))].red++;
p++;
}
else
for (x=0; x < (ssize_t) image->columns; x++)
{
if ((channel & RedChannel) != 0)
histogram[ScaleQuantumToMap(GetPixelRed(p))].red++;
if ((channel & GreenChannel) != 0)
histogram[ScaleQuantumToMap(GetPixelGreen(p))].green++;
if ((channel & BlueChannel) != 0)
histogram[ScaleQuantumToMap(GetPixelBlue(p))].blue++;
if ((channel & OpacityChannel) != 0)
histogram[ScaleQuantumToMap(GetPixelOpacity(p))].opacity++;
if (((channel & IndexChannel) != 0) &&
(image->colorspace == CMYKColorspace))
histogram[ScaleQuantumToMap(GetPixelIndex(indexes+x))].index++;
p++;
}
}
image_view=DestroyCacheView(image_view);
/*
Integrate the histogram to get the equalization map.
*/
(void) ResetMagickMemory(&intensity,0,sizeof(intensity));
for (i=0; i <= (ssize_t) MaxMap; i++)
{
if ((channel & SyncChannels) != 0)
{
intensity.red+=histogram[i].red;
map[i]=intensity;
continue;
}
if ((channel & RedChannel) != 0)
intensity.red+=histogram[i].red;
if ((channel & GreenChannel) != 0)
intensity.green+=histogram[i].green;
if ((channel & BlueChannel) != 0)
intensity.blue+=histogram[i].blue;
if ((channel & OpacityChannel) != 0)
intensity.opacity+=histogram[i].opacity;
if (((channel & IndexChannel) != 0) &&
(image->colorspace == CMYKColorspace))
intensity.index+=histogram[i].index;
map[i]=intensity;
}
black=map[0];
white=map[(int) MaxMap];
(void) ResetMagickMemory(equalize_map,0,(MaxMap+1)*sizeof(*equalize_map));
for (i=0; i <= (ssize_t) MaxMap; i++)
{
if ((channel & SyncChannels) != 0)
{
if (white.red != black.red)
equalize_map[i].red=ScaleMapToQuantum((MagickRealType) ((MaxMap*
(map[i].red-black.red))/(white.red-black.red)));
continue;
}
if (((channel & RedChannel) != 0) && (white.red != black.red))
equalize_map[i].red=ScaleMapToQuantum((MagickRealType) ((MaxMap*
(map[i].red-black.red))/(white.red-black.red)));
if (((channel & GreenChannel) != 0) && (white.green != black.green))
equalize_map[i].green=ScaleMapToQuantum((MagickRealType) ((MaxMap*
(map[i].green-black.green))/(white.green-black.green)));
if (((channel & BlueChannel) != 0) && (white.blue != black.blue))
equalize_map[i].blue=ScaleMapToQuantum((MagickRealType) ((MaxMap*
(map[i].blue-black.blue))/(white.blue-black.blue)));
if (((channel & OpacityChannel) != 0) && (white.opacity != black.opacity))
equalize_map[i].opacity=ScaleMapToQuantum((MagickRealType) ((MaxMap*
(map[i].opacity-black.opacity))/(white.opacity-black.opacity)));
if ((((channel & IndexChannel) != 0) &&
(image->colorspace == CMYKColorspace)) &&
(white.index != black.index))
equalize_map[i].index=ScaleMapToQuantum((MagickRealType) ((MaxMap*
(map[i].index-black.index))/(white.index-black.index)));
}
histogram=(MagickPixelPacket *) RelinquishMagickMemory(histogram);
map=(MagickPixelPacket *) RelinquishMagickMemory(map);
if (image->storage_class == PseudoClass)
{
/*
Equalize colormap.
*/
for (i=0; i < (ssize_t) image->colors; i++)
{
if ((channel & SyncChannels) != 0)
{
if (white.red != black.red)
{
image->colormap[i].red=equalize_map[
ScaleQuantumToMap(image->colormap[i].red)].red;
image->colormap[i].green=equalize_map[
ScaleQuantumToMap(image->colormap[i].green)].red;
image->colormap[i].blue=equalize_map[
ScaleQuantumToMap(image->colormap[i].blue)].red;
image->colormap[i].opacity=equalize_map[
ScaleQuantumToMap(image->colormap[i].opacity)].red;
}
continue;
}
if (((channel & RedChannel) != 0) && (white.red != black.red))
image->colormap[i].red=equalize_map[
ScaleQuantumToMap(image->colormap[i].red)].red;
if (((channel & GreenChannel) != 0) && (white.green != black.green))
image->colormap[i].green=equalize_map[
ScaleQuantumToMap(image->colormap[i].green)].green;
if (((channel & BlueChannel) != 0) && (white.blue != black.blue))
image->colormap[i].blue=equalize_map[
ScaleQuantumToMap(image->colormap[i].blue)].blue;
if (((channel & OpacityChannel) != 0) &&
(white.opacity != black.opacity))
image->colormap[i].opacity=equalize_map[
ScaleQuantumToMap(image->colormap[i].opacity)].opacity;
}
}
/*
Equalize image.
*/
status=MagickTrue;
progress=0;
image_view=AcquireAuthenticCacheView(image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static,4) shared(progress,status) \
magick_number_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
register IndexPacket
*magick_restrict indexes;
register PixelPacket
*magick_restrict q;
register ssize_t
x;
if (status == MagickFalse)
continue;
q=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,exception);
if (q == (PixelPacket *) NULL)
{
status=MagickFalse;
continue;
}
indexes=GetCacheViewAuthenticIndexQueue(image_view);
for (x=0; x < (ssize_t) image->columns; x++)
{
if ((channel & SyncChannels) != 0)
{
if (white.red != black.red)
{
SetPixelRed(q,equalize_map[
ScaleQuantumToMap(GetPixelRed(q))].red);
SetPixelGreen(q,equalize_map[
ScaleQuantumToMap(GetPixelGreen(q))].red);
SetPixelBlue(q,equalize_map[
ScaleQuantumToMap(GetPixelBlue(q))].red);
SetPixelOpacity(q,equalize_map[
ScaleQuantumToMap(GetPixelOpacity(q))].red);
if (image->colorspace == CMYKColorspace)
SetPixelIndex(indexes+x,equalize_map[
ScaleQuantumToMap(GetPixelIndex(indexes+x))].red);
}
q++;
continue;
}
if (((channel & RedChannel) != 0) && (white.red != black.red))
SetPixelRed(q,equalize_map[
ScaleQuantumToMap(GetPixelRed(q))].red);
if (((channel & GreenChannel) != 0) && (white.green != black.green))
SetPixelGreen(q,equalize_map[
ScaleQuantumToMap(GetPixelGreen(q))].green);
if (((channel & BlueChannel) != 0) && (white.blue != black.blue))
SetPixelBlue(q,equalize_map[
ScaleQuantumToMap(GetPixelBlue(q))].blue);
if (((channel & OpacityChannel) != 0) && (white.opacity != black.opacity))
SetPixelOpacity(q,equalize_map[
ScaleQuantumToMap(GetPixelOpacity(q))].opacity);
if ((((channel & IndexChannel) != 0) &&
(image->colorspace == CMYKColorspace)) &&
(white.index != black.index))
SetPixelIndex(indexes+x,equalize_map[
ScaleQuantumToMap(GetPixelIndex(indexes+x))].index);
q++;
}
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp critical (MagickCore_EqualizeImageChannel)
#endif
proceed=SetImageProgress(image,EqualizeImageTag,progress++,image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
image_view=DestroyCacheView(image_view);
equalize_map=(QuantumPixelPacket *) RelinquishMagickMemory(equalize_map);
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G a m m a I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GammaImage() gamma-corrects a particular image channel. The same
% image viewed on different devices will have perceptual differences in the
% way the image's intensities are represented on the screen. Specify
% individual gamma levels for the red, green, and blue channels, or adjust
% all three with the gamma parameter. Values typically range from 0.8 to 2.3.
%
% You can also reduce the influence of a particular channel with a gamma
% value of 0.
%
% The format of the GammaImage method is:
%
% MagickBooleanType GammaImage(Image *image,const char *level)
% MagickBooleanType GammaImageChannel(Image *image,
% const ChannelType channel,const double gamma)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o channel: the channel.
%
% o level: the image gamma as a string (e.g. 1.6,1.2,1.0).
%
% o gamma: the image gamma.
%
*/
static inline double gamma_pow(const double value,const double gamma)
{
return(value < 0.0 ? value : pow(value,gamma));
}
MagickExport MagickBooleanType GammaImage(Image *image,const char *level)
{
GeometryInfo
geometry_info;
MagickPixelPacket
gamma;
MagickStatusType
flags,
status;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
if (level == (char *) NULL)
return(MagickFalse);
flags=ParseGeometry(level,&geometry_info);
gamma.red=geometry_info.rho;
gamma.green=geometry_info.sigma;
if ((flags & SigmaValue) == 0)
gamma.green=gamma.red;
gamma.blue=geometry_info.xi;
if ((flags & XiValue) == 0)
gamma.blue=gamma.red;
if ((gamma.red == 1.0) && (gamma.green == 1.0) && (gamma.blue == 1.0))
return(MagickTrue);
if ((gamma.red == gamma.green) && (gamma.green == gamma.blue))
status=GammaImageChannel(image,(ChannelType) (RedChannel | GreenChannel |
BlueChannel),(double) gamma.red);
else
{
status=GammaImageChannel(image,RedChannel,(double) gamma.red);
status&=GammaImageChannel(image,GreenChannel,(double) gamma.green);
status&=GammaImageChannel(image,BlueChannel,(double) gamma.blue);
}
return(status != 0 ? MagickTrue : MagickFalse);
}
MagickExport MagickBooleanType GammaImageChannel(Image *image,
const ChannelType channel,const double gamma)
{
#define GammaCorrectImageTag "GammaCorrect/Image"
CacheView
*image_view;
ExceptionInfo
*exception;
MagickBooleanType
status;
MagickOffsetType
progress;
Quantum
*gamma_map;
register ssize_t
i;
ssize_t
y;
/*
Allocate and initialize gamma maps.
*/
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
if (gamma == 1.0)
return(MagickTrue);
gamma_map=(Quantum *) AcquireQuantumMemory(MaxMap+1UL,sizeof(*gamma_map));
if (gamma_map == (Quantum *) NULL)
ThrowBinaryException(ResourceLimitError,"MemoryAllocationFailed",
image->filename);
(void) ResetMagickMemory(gamma_map,0,(MaxMap+1)*sizeof(*gamma_map));
if (gamma != 0.0)
for (i=0; i <= (ssize_t) MaxMap; i++)
gamma_map[i]=ClampToQuantum((MagickRealType) ScaleMapToQuantum((
MagickRealType) (MaxMap*pow((double) i/MaxMap,1.0/gamma))));
if (image->storage_class == PseudoClass)
{
/*
Gamma-correct colormap.
*/
for (i=0; i < (ssize_t) image->colors; i++)
{
#if !defined(MAGICKCORE_HDRI_SUPPORT)
if ((channel & RedChannel) != 0)
image->colormap[i].red=gamma_map[ScaleQuantumToMap(
image->colormap[i].red)];
if ((channel & GreenChannel) != 0)
image->colormap[i].green=gamma_map[ScaleQuantumToMap(
image->colormap[i].green)];
if ((channel & BlueChannel) != 0)
image->colormap[i].blue=gamma_map[ScaleQuantumToMap(
image->colormap[i].blue)];
if ((channel & OpacityChannel) != 0)
{
if (image->matte == MagickFalse)
image->colormap[i].opacity=gamma_map[ScaleQuantumToMap(
image->colormap[i].opacity)];
else
image->colormap[i].opacity=QuantumRange-gamma_map[
ScaleQuantumToMap((Quantum) (QuantumRange-
image->colormap[i].opacity))];
}
#else
if ((channel & RedChannel) != 0)
image->colormap[i].red=QuantumRange*gamma_pow(QuantumScale*
image->colormap[i].red,1.0/gamma);
if ((channel & GreenChannel) != 0)
image->colormap[i].green=QuantumRange*gamma_pow(QuantumScale*
image->colormap[i].green,1.0/gamma);
if ((channel & BlueChannel) != 0)
image->colormap[i].blue=QuantumRange*gamma_pow(QuantumScale*
image->colormap[i].blue,1.0/gamma);
if ((channel & OpacityChannel) != 0)
{
if (image->matte == MagickFalse)
image->colormap[i].opacity=QuantumRange*gamma_pow(QuantumScale*
image->colormap[i].opacity,1.0/gamma);
else
image->colormap[i].opacity=QuantumRange-QuantumRange*gamma_pow(
QuantumScale*(QuantumRange-image->colormap[i].opacity),1.0/
gamma);
}
#endif
}
}
/*
Gamma-correct image.
*/
status=MagickTrue;
progress=0;
exception=(&image->exception);
image_view=AcquireAuthenticCacheView(image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static,4) shared(progress,status) \
magick_number_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
register IndexPacket
*magick_restrict indexes;
register PixelPacket
*magick_restrict q;
register ssize_t
x;
if (status == MagickFalse)
continue;
q=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,exception);
if (q == (PixelPacket *) NULL)
{
status=MagickFalse;
continue;
}
indexes=GetCacheViewAuthenticIndexQueue(image_view);
for (x=0; x < (ssize_t) image->columns; x++)
{
#if !defined(MAGICKCORE_HDRI_SUPPORT)
if ((channel & SyncChannels) != 0)
{
SetPixelRed(q,gamma_map[ScaleQuantumToMap(GetPixelRed(q))]);
SetPixelGreen(q,gamma_map[ScaleQuantumToMap(GetPixelGreen(q))]);
SetPixelBlue(q,gamma_map[ScaleQuantumToMap(GetPixelBlue(q))]);
}
else
{
if ((channel & RedChannel) != 0)
SetPixelRed(q,gamma_map[ScaleQuantumToMap(GetPixelRed(q))]);
if ((channel & GreenChannel) != 0)
SetPixelGreen(q,gamma_map[ScaleQuantumToMap(GetPixelGreen(q))]);
if ((channel & BlueChannel) != 0)
SetPixelBlue(q,gamma_map[ScaleQuantumToMap(GetPixelBlue(q))]);
if ((channel & OpacityChannel) != 0)
{
if (image->matte == MagickFalse)
SetPixelOpacity(q,gamma_map[ScaleQuantumToMap(
GetPixelOpacity(q))]);
else
SetPixelAlpha(q,gamma_map[ScaleQuantumToMap((Quantum)
GetPixelAlpha(q))]);
}
}
#else
if ((channel & SyncChannels) != 0)
{
SetPixelRed(q,QuantumRange*gamma_pow(QuantumScale*GetPixelRed(q),
1.0/gamma));
SetPixelGreen(q,QuantumRange*gamma_pow(QuantumScale*GetPixelGreen(q),
1.0/gamma));
SetPixelBlue(q,QuantumRange*gamma_pow(QuantumScale*GetPixelBlue(q),
1.0/gamma));
}
else
{
if ((channel & RedChannel) != 0)
SetPixelRed(q,QuantumRange*gamma_pow(QuantumScale*GetPixelRed(q),
1.0/gamma));
if ((channel & GreenChannel) != 0)
SetPixelGreen(q,QuantumRange*gamma_pow(QuantumScale*
GetPixelGreen(q),1.0/gamma));
if ((channel & BlueChannel) != 0)
SetPixelBlue(q,QuantumRange*gamma_pow(QuantumScale*GetPixelBlue(q),
1.0/gamma));
if ((channel & OpacityChannel) != 0)
{
if (image->matte == MagickFalse)
SetPixelOpacity(q,QuantumRange*gamma_pow(QuantumScale*
GetPixelOpacity(q),1.0/gamma));
else
SetPixelAlpha(q,QuantumRange*gamma_pow(QuantumScale*
GetPixelAlpha(q),1.0/gamma));
}
}
#endif
q++;
}
if (((channel & IndexChannel) != 0) &&
(image->colorspace == CMYKColorspace))
for (x=0; x < (ssize_t) image->columns; x++)
SetPixelIndex(indexes+x,gamma_map[ScaleQuantumToMap(
GetPixelIndex(indexes+x))]);
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp critical (MagickCore_GammaImageChannel)
#endif
proceed=SetImageProgress(image,GammaCorrectImageTag,progress++,
image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
image_view=DestroyCacheView(image_view);
gamma_map=(Quantum *) RelinquishMagickMemory(gamma_map);
if (image->gamma != 0.0)
image->gamma*=gamma;
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G r a y s c a l e I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GrayscaleImage() converts the colors in the reference image to gray.
%
% The format of the GrayscaleImageChannel method is:
%
% MagickBooleanType GrayscaleImage(Image *image,
% const PixelIntensityMethod method)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o channel: the channel.
%
*/
MagickExport MagickBooleanType GrayscaleImage(Image *image,
const PixelIntensityMethod method)
{
#define GrayscaleImageTag "Grayscale/Image"
CacheView
*image_view;
ExceptionInfo
*exception;
MagickBooleanType
status;
MagickOffsetType
progress;
ssize_t
y;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
if (image->storage_class == PseudoClass)
{
if (SyncImage(image) == MagickFalse)
return(MagickFalse);
if (SetImageStorageClass(image,DirectClass) == MagickFalse)
return(MagickFalse);
}
/*
Grayscale image.
*/
/* call opencl version */
#if defined(MAGICKCORE_OPENCL_SUPPORT)
if (AccelerateGrayscaleImage(image,method,&image->exception) != MagickFalse)
{
image->intensity=method;
image->type=GrayscaleType;
if ((method == Rec601LuminancePixelIntensityMethod) ||
(method == Rec709LuminancePixelIntensityMethod))
return(SetImageColorspace(image,LinearGRAYColorspace));
return(SetImageColorspace(image,GRAYColorspace));
}
#endif
status=MagickTrue;
progress=0;
exception=(&image->exception);
image_view=AcquireAuthenticCacheView(image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static,4) shared(progress,status) \
magick_number_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
register PixelPacket
*magick_restrict q;
register ssize_t
x;
if (status == MagickFalse)
continue;
q=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,exception);
if (q == (PixelPacket *) NULL)
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
MagickRealType
blue,
green,
intensity,
red;
red=(MagickRealType) q->red;
green=(MagickRealType) q->green;
blue=(MagickRealType) q->blue;
intensity=0.0;
switch (method)
{
case AveragePixelIntensityMethod:
{
intensity=(red+green+blue)/3.0;
break;
}
case BrightnessPixelIntensityMethod:
{
intensity=MagickMax(MagickMax(red,green),blue);
break;
}
case LightnessPixelIntensityMethod:
{
intensity=(MagickMin(MagickMin(red,green),blue)+
MagickMax(MagickMax(red,green),blue))/2.0;
break;
}
case MSPixelIntensityMethod:
{
intensity=(MagickRealType) (((double) red*red+green*green+
blue*blue)/(3.0*QuantumRange));
break;
}
case Rec601LumaPixelIntensityMethod:
{
if (image->colorspace == RGBColorspace)
{
red=EncodePixelGamma(red);
green=EncodePixelGamma(green);
blue=EncodePixelGamma(blue);
}
intensity=0.298839*red+0.586811*green+0.114350*blue;
break;
}
case Rec601LuminancePixelIntensityMethod:
{
if (image->colorspace == sRGBColorspace)
{
red=DecodePixelGamma(red);
green=DecodePixelGamma(green);
blue=DecodePixelGamma(blue);
}
intensity=0.298839*red+0.586811*green+0.114350*blue;
break;
}
case Rec709LumaPixelIntensityMethod:
default:
{
if (image->colorspace == RGBColorspace)
{
red=EncodePixelGamma(red);
green=EncodePixelGamma(green);
blue=EncodePixelGamma(blue);
}
intensity=0.212656*red+0.715158*green+0.072186*blue;
break;
}
case Rec709LuminancePixelIntensityMethod:
{
if (image->colorspace == sRGBColorspace)
{
red=DecodePixelGamma(red);
green=DecodePixelGamma(green);
blue=DecodePixelGamma(blue);
}
intensity=0.212656*red+0.715158*green+0.072186*blue;
break;
}
case RMSPixelIntensityMethod:
{
intensity=(MagickRealType) (sqrt((double) red*red+green*green+
blue*blue)/sqrt(3.0));
break;
}
}
SetPixelGray(q,ClampToQuantum(intensity));
q++;
}
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp critical (MagickCore_GrayscaleImageChannel)
#endif
proceed=SetImageProgress(image,GrayscaleImageTag,progress++,
image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
image_view=DestroyCacheView(image_view);
image->intensity=method;
image->type=GrayscaleType;
if ((method == Rec601LuminancePixelIntensityMethod) ||
(method == Rec709LuminancePixelIntensityMethod))
return(SetImageColorspace(image,LinearGRAYColorspace));
return(SetImageColorspace(image,GRAYColorspace));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% H a l d C l u t I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% HaldClutImage() applies a Hald color lookup table to the image. A Hald
% color lookup table is a 3-dimensional color cube mapped to 2 dimensions.
% Create it with the HALD coder. You can apply any color transformation to
% the Hald image and then use this method to apply the transform to the
% image.
%
% The format of the HaldClutImage method is:
%
% MagickBooleanType HaldClutImage(Image *image,Image *hald_image)
% MagickBooleanType HaldClutImageChannel(Image *image,
% const ChannelType channel,Image *hald_image)
%
% A description of each parameter follows:
%
% o image: the image, which is replaced by indexed CLUT values
%
% o hald_image: the color lookup table image for replacement color values.
%
% o channel: the channel.
%
*/
MagickExport MagickBooleanType HaldClutImage(Image *image,
const Image *hald_image)
{
return(HaldClutImageChannel(image,DefaultChannels,hald_image));
}
MagickExport MagickBooleanType HaldClutImageChannel(Image *image,
const ChannelType channel,const Image *hald_image)
{
#define HaldClutImageTag "Clut/Image"
typedef struct _HaldInfo
{
MagickRealType
x,
y,
z;
} HaldInfo;
CacheView
*hald_view,
*image_view;
double
width;
ExceptionInfo
*exception;
MagickBooleanType
status;
MagickOffsetType
progress;
MagickPixelPacket
zero;
size_t
cube_size,
length,
level;
ssize_t
y;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(hald_image != (Image *) NULL);
assert(hald_image->signature == MagickCoreSignature);
if (SetImageStorageClass(image,DirectClass) == MagickFalse)
return(MagickFalse);
if (IsGrayColorspace(image->colorspace) != MagickFalse)
(void) SetImageColorspace(image,sRGBColorspace);
if (image->matte == MagickFalse)
(void) SetImageAlphaChannel(image,OpaqueAlphaChannel);
/*
Hald clut image.
*/
status=MagickTrue;
progress=0;
length=(size_t) MagickMin((MagickRealType) hald_image->columns,
(MagickRealType) hald_image->rows);
for (level=2; (level*level*level) < length; level++) ;
level*=level;
cube_size=level*level;
width=(double) hald_image->columns;
GetMagickPixelPacket(hald_image,&zero);
exception=(&image->exception);
image_view=AcquireAuthenticCacheView(image,exception);
hald_view=AcquireAuthenticCacheView(hald_image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static,4) shared(progress,status) \
magick_number_threads(image,hald_image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
double
offset;
HaldInfo
point;
MagickPixelPacket
pixel,
pixel1,
pixel2,
pixel3,
pixel4;
register IndexPacket
*magick_restrict indexes;
register PixelPacket
*magick_restrict q;
register ssize_t
x;
if (status == MagickFalse)
continue;
q=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,exception);
if (q == (PixelPacket *) NULL)
{
status=MagickFalse;
continue;
}
indexes=GetCacheViewAuthenticIndexQueue(hald_view);
pixel=zero;
pixel1=zero;
pixel2=zero;
pixel3=zero;
pixel4=zero;
for (x=0; x < (ssize_t) image->columns; x++)
{
point.x=QuantumScale*(level-1.0)*GetPixelRed(q);
point.y=QuantumScale*(level-1.0)*GetPixelGreen(q);
point.z=QuantumScale*(level-1.0)*GetPixelBlue(q);
offset=(double) (point.x+level*floor(point.y)+cube_size*floor(point.z));
point.x-=floor(point.x);
point.y-=floor(point.y);
point.z-=floor(point.z);
status=InterpolateMagickPixelPacket(image,hald_view,
UndefinedInterpolatePixel,fmod(offset,width),floor(offset/width),
&pixel1,exception);
if (status == MagickFalse)
break;
status=InterpolateMagickPixelPacket(image,hald_view,
UndefinedInterpolatePixel,fmod(offset+level,width),floor((offset+level)/
width),&pixel2,exception);
if (status == MagickFalse)
break;
MagickPixelCompositeAreaBlend(&pixel1,pixel1.opacity,&pixel2,
pixel2.opacity,point.y,&pixel3);
offset+=cube_size;
status=InterpolateMagickPixelPacket(image,hald_view,
UndefinedInterpolatePixel,fmod(offset,width),floor(offset/width),
&pixel1,exception);
if (status == MagickFalse)
break;
status=InterpolateMagickPixelPacket(image,hald_view,
UndefinedInterpolatePixel,fmod(offset+level,width),floor((offset+level)/
width),&pixel2,exception);
if (status == MagickFalse)
break;
MagickPixelCompositeAreaBlend(&pixel1,pixel1.opacity,&pixel2,
pixel2.opacity,point.y,&pixel4);
MagickPixelCompositeAreaBlend(&pixel3,pixel3.opacity,&pixel4,
pixel4.opacity,point.z,&pixel);
if ((channel & RedChannel) != 0)
SetPixelRed(q,ClampToQuantum(pixel.red));
if ((channel & GreenChannel) != 0)
SetPixelGreen(q,ClampToQuantum(pixel.green));
if ((channel & BlueChannel) != 0)
SetPixelBlue(q,ClampToQuantum(pixel.blue));
if (((channel & OpacityChannel) != 0) && (image->matte != MagickFalse))
SetPixelOpacity(q,ClampToQuantum(pixel.opacity));
if (((channel & IndexChannel) != 0) &&
(image->colorspace == CMYKColorspace))
SetPixelIndex(indexes+x,ClampToQuantum(pixel.index));
q++;
}
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp critical (MagickCore_HaldClutImageChannel)
#endif
proceed=SetImageProgress(image,HaldClutImageTag,progress++,image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
hald_view=DestroyCacheView(hald_view);
image_view=DestroyCacheView(image_view);
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% L e v e l I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% LevelImage() adjusts the levels of a particular image channel by
% scaling the colors falling between specified white and black points to
% the full available quantum range.
%
% The parameters provided represent the black, and white points. The black
% point specifies the darkest color in the image. Colors darker than the
% black point are set to zero. White point specifies the lightest color in
% the image. Colors brighter than the white point are set to the maximum
% quantum value.
%
% If a '!' flag is given, map black and white colors to the given levels
% rather than mapping those levels to black and white. See
% LevelizeImageChannel() and LevelizeImageChannel(), below.
%
% Gamma specifies a gamma correction to apply to the image.
%
% The format of the LevelImage method is:
%
% MagickBooleanType LevelImage(Image *image,const char *levels)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o levels: Specify the levels where the black and white points have the
% range of 0-QuantumRange, and gamma has the range 0-10 (e.g. 10x90%+2).
% A '!' flag inverts the re-mapping.
%
*/
MagickExport MagickBooleanType LevelImage(Image *image,const char *levels)
{
double
black_point,
gamma,
white_point;
GeometryInfo
geometry_info;
MagickBooleanType
status;
MagickStatusType
flags;
/*
Parse levels.
*/
if (levels == (char *) NULL)
return(MagickFalse);
flags=ParseGeometry(levels,&geometry_info);
black_point=geometry_info.rho;
white_point=(double) QuantumRange;
if ((flags & SigmaValue) != 0)
white_point=geometry_info.sigma;
gamma=1.0;
if ((flags & XiValue) != 0)
gamma=geometry_info.xi;
if ((flags & PercentValue) != 0)
{
black_point*=(double) image->columns*image->rows/100.0;
white_point*=(double) image->columns*image->rows/100.0;
}
if ((flags & SigmaValue) == 0)
white_point=(double) QuantumRange-black_point;
if ((flags & AspectValue ) == 0)
status=LevelImageChannel(image,DefaultChannels,black_point,white_point,
gamma);
else
status=LevelizeImage(image,black_point,white_point,gamma);
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% L e v e l I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% LevelImage() applies the normal level operation to the image, spreading
% out the values between the black and white points over the entire range of
% values. Gamma correction is also applied after the values has been mapped.
%
% It is typically used to improve image contrast, or to provide a controlled
% linear threshold for the image. If the black and white points are set to
% the minimum and maximum values found in the image, the image can be
% normalized. or by swapping black and white values, negate the image.
%
% The format of the LevelImage method is:
%
% MagickBooleanType LevelImage(Image *image,const double black_point,
% const double white_point,const double gamma)
% MagickBooleanType LevelImageChannel(Image *image,
% const ChannelType channel,const double black_point,
% const double white_point,const double gamma)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o channel: the channel.
%
% o black_point: The level which is to be mapped to zero (black)
%
% o white_point: The level which is to be mapped to QuantumRange (white)
%
% o gamma: adjust gamma by this factor before mapping values.
% use 1.0 for purely linear stretching of image color values
%
*/
static inline double LevelPixel(const double black_point,
const double white_point,const double gamma,const MagickRealType pixel)
{
double
level_pixel,
scale;
if (fabs(white_point-black_point) < MagickEpsilon)
return(pixel);
scale=1.0/(white_point-black_point);
level_pixel=QuantumRange*gamma_pow(scale*((double) pixel-black_point),1.0/
gamma);
return(level_pixel);
}
MagickExport MagickBooleanType LevelImageChannel(Image *image,
const ChannelType channel,const double black_point,const double white_point,
const double gamma)
{
#define LevelImageTag "Level/Image"
CacheView
*image_view;
ExceptionInfo
*exception;
MagickBooleanType
status;
MagickOffsetType
progress;
register ssize_t
i;
ssize_t
y;
/*
Allocate and initialize levels map.
*/
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
if (image->storage_class == PseudoClass)
for (i=0; i < (ssize_t) image->colors; i++)
{
/*
Level colormap.
*/
if ((channel & RedChannel) != 0)
image->colormap[i].red=(Quantum) ClampToQuantum(LevelPixel(black_point,
white_point,gamma,(MagickRealType) image->colormap[i].red));
if ((channel & GreenChannel) != 0)
image->colormap[i].green=(Quantum) ClampToQuantum(LevelPixel(
black_point,white_point,gamma,(MagickRealType)
image->colormap[i].green));
if ((channel & BlueChannel) != 0)
image->colormap[i].blue=(Quantum) ClampToQuantum(LevelPixel(black_point,
white_point,gamma,(MagickRealType) image->colormap[i].blue));
if ((channel & OpacityChannel) != 0)
image->colormap[i].opacity=(Quantum) (QuantumRange-(Quantum)
ClampToQuantum(LevelPixel(black_point,white_point,gamma,
(MagickRealType) (QuantumRange-image->colormap[i].opacity))));
}
/*
Level image.
*/
status=MagickTrue;
progress=0;
exception=(&image->exception);
image_view=AcquireAuthenticCacheView(image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static,4) shared(progress,status) \
magick_number_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
register IndexPacket
*magick_restrict indexes;
register PixelPacket
*magick_restrict q;
register ssize_t
x;
if (status == MagickFalse)
continue;
q=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,exception);
if (q == (PixelPacket *) NULL)
{
status=MagickFalse;
continue;
}
indexes=GetCacheViewAuthenticIndexQueue(image_view);
for (x=0; x < (ssize_t) image->columns; x++)
{
if ((channel & RedChannel) != 0)
SetPixelRed(q,ClampToQuantum(LevelPixel(black_point,white_point,gamma,
(MagickRealType) GetPixelRed(q))));
if ((channel & GreenChannel) != 0)
SetPixelGreen(q,ClampToQuantum(LevelPixel(black_point,white_point,gamma,
(MagickRealType) GetPixelGreen(q))));
if ((channel & BlueChannel) != 0)
SetPixelBlue(q,ClampToQuantum(LevelPixel(black_point,white_point,gamma,
(MagickRealType) GetPixelBlue(q))));
if (((channel & OpacityChannel) != 0) &&
(image->matte != MagickFalse))
SetPixelAlpha(q,ClampToQuantum(LevelPixel(black_point,white_point,gamma,
(MagickRealType) GetPixelAlpha(q))));
if (((channel & IndexChannel) != 0) &&
(image->colorspace == CMYKColorspace))
SetPixelIndex(indexes+x,ClampToQuantum(LevelPixel(black_point,
white_point,gamma,(MagickRealType) GetPixelIndex(indexes+x))));
q++;
}
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp critical (MagickCore_LevelImageChannel)
#endif
proceed=SetImageProgress(image,LevelImageTag,progress++,image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
image_view=DestroyCacheView(image_view);
(void) ClampImage(image);
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% L e v e l i z e I m a g e C h a n n e l %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% LevelizeImageChannel() applies the reversed LevelImage() operation to just
% the specific channels specified. It compresses the full range of color
% values, so that they lie between the given black and white points. Gamma is
% applied before the values are mapped.
%
% LevelizeImageChannel() can be called with by using a +level command line
% API option, or using a '!' on a -level or LevelImage() geometry string.
%
% It can be used for example de-contrast a greyscale image to the exact
% levels specified. Or by using specific levels for each channel of an image
% you can convert a gray-scale image to any linear color gradient, according
% to those levels.
%
% The format of the LevelizeImageChannel method is:
%
% MagickBooleanType LevelizeImageChannel(Image *image,
% const ChannelType channel,const char *levels)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o channel: the channel.
%
% o black_point: The level to map zero (black) to.
%
% o white_point: The level to map QuantumRange (white) to.
%
% o gamma: adjust gamma by this factor before mapping values.
%
*/
MagickExport MagickBooleanType LevelizeImage(Image *image,
const double black_point,const double white_point,const double gamma)
{
MagickBooleanType
status;
status=LevelizeImageChannel(image,DefaultChannels,black_point,white_point,
gamma);
return(status);
}
MagickExport MagickBooleanType LevelizeImageChannel(Image *image,
const ChannelType channel,const double black_point,const double white_point,
const double gamma)
{
#define LevelizeImageTag "Levelize/Image"
#define LevelizeValue(x) ClampToQuantum(((MagickRealType) gamma_pow((double) \
(QuantumScale*(x)),gamma))*(white_point-black_point)+black_point)
CacheView
*image_view;
ExceptionInfo
*exception;
MagickBooleanType
status;
MagickOffsetType
progress;
register ssize_t
i;
ssize_t
y;
/*
Allocate and initialize levels map.
*/
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
if (image->storage_class == PseudoClass)
for (i=0; i < (ssize_t) image->colors; i++)
{
/*
Level colormap.
*/
if ((channel & RedChannel) != 0)
image->colormap[i].red=LevelizeValue(image->colormap[i].red);
if ((channel & GreenChannel) != 0)
image->colormap[i].green=LevelizeValue(image->colormap[i].green);
if ((channel & BlueChannel) != 0)
image->colormap[i].blue=LevelizeValue(image->colormap[i].blue);
if ((channel & OpacityChannel) != 0)
image->colormap[i].opacity=(Quantum) (QuantumRange-LevelizeValue(
QuantumRange-image->colormap[i].opacity));
}
/*
Level image.
*/
status=MagickTrue;
progress=0;
exception=(&image->exception);
image_view=AcquireAuthenticCacheView(image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static,4) shared(progress,status) \
magick_number_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
register IndexPacket
*magick_restrict indexes;
register PixelPacket
*magick_restrict q;
register ssize_t
x;
if (status == MagickFalse)
continue;
q=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,exception);
if (q == (PixelPacket *) NULL)
{
status=MagickFalse;
continue;
}
indexes=GetCacheViewAuthenticIndexQueue(image_view);
for (x=0; x < (ssize_t) image->columns; x++)
{
if ((channel & RedChannel) != 0)
SetPixelRed(q,LevelizeValue(GetPixelRed(q)));
if ((channel & GreenChannel) != 0)
SetPixelGreen(q,LevelizeValue(GetPixelGreen(q)));
if ((channel & BlueChannel) != 0)
SetPixelBlue(q,LevelizeValue(GetPixelBlue(q)));
if (((channel & OpacityChannel) != 0) &&
(image->matte != MagickFalse))
SetPixelAlpha(q,LevelizeValue(GetPixelAlpha(q)));
if (((channel & IndexChannel) != 0) &&
(image->colorspace == CMYKColorspace))
SetPixelIndex(indexes+x,LevelizeValue(GetPixelIndex(indexes+x)));
q++;
}
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp critical (MagickCore_LevelizeImageChannel)
#endif
proceed=SetImageProgress(image,LevelizeImageTag,progress++,image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
image_view=DestroyCacheView(image_view);
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% L e v e l I m a g e C o l o r s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% LevelImageColor() maps the given color to "black" and "white" values,
% linearly spreading out the colors, and level values on a channel by channel
% bases, as per LevelImage(). The given colors allows you to specify
% different level ranges for each of the color channels separately.
%
% If the boolean 'invert' is set true the image values will modifyed in the
% reverse direction. That is any existing "black" and "white" colors in the
% image will become the color values given, with all other values compressed
% appropriatally. This effectivally maps a greyscale gradient into the given
% color gradient.
%
% The format of the LevelColorsImageChannel method is:
%
% MagickBooleanType LevelColorsImage(Image *image,
% const MagickPixelPacket *black_color,
% const MagickPixelPacket *white_color,const MagickBooleanType invert)
% MagickBooleanType LevelColorsImageChannel(Image *image,
% const ChannelType channel,const MagickPixelPacket *black_color,
% const MagickPixelPacket *white_color,const MagickBooleanType invert)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o channel: the channel.
%
% o black_color: The color to map black to/from
%
% o white_point: The color to map white to/from
%
% o invert: if true map the colors (levelize), rather than from (level)
%
*/
MagickExport MagickBooleanType LevelColorsImage(Image *image,
const MagickPixelPacket *black_color,const MagickPixelPacket *white_color,
const MagickBooleanType invert)
{
MagickBooleanType
status;
status=LevelColorsImageChannel(image,DefaultChannels,black_color,white_color,
invert);
return(status);
}
MagickExport MagickBooleanType LevelColorsImageChannel(Image *image,
const ChannelType channel,const MagickPixelPacket *black_color,
const MagickPixelPacket *white_color,const MagickBooleanType invert)
{
MagickStatusType
status;
/*
Allocate and initialize levels map.
*/
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
if ((IsGrayColorspace(image->colorspace) != MagickFalse) &&
((IsGrayColorspace(black_color->colorspace) != MagickFalse) ||
(IsGrayColorspace(white_color->colorspace) != MagickFalse)))
(void) SetImageColorspace(image,sRGBColorspace);
status=MagickTrue;
if (invert == MagickFalse)
{
if ((channel & RedChannel) != 0)
status&=LevelImageChannel(image,RedChannel,black_color->red,
white_color->red,(double) 1.0);
if ((channel & GreenChannel) != 0)
status&=LevelImageChannel(image,GreenChannel,black_color->green,
white_color->green,(double) 1.0);
if ((channel & BlueChannel) != 0)
status&=LevelImageChannel(image,BlueChannel,black_color->blue,
white_color->blue,(double) 1.0);
if (((channel & OpacityChannel) != 0) &&
(image->matte != MagickFalse))
status&=LevelImageChannel(image,OpacityChannel,black_color->opacity,
white_color->opacity,(double) 1.0);
if (((channel & IndexChannel) != 0) &&
(image->colorspace == CMYKColorspace))
status&=LevelImageChannel(image,IndexChannel,black_color->index,
white_color->index,(double) 1.0);
}
else
{
if ((channel & RedChannel) != 0)
status&=LevelizeImageChannel(image,RedChannel,black_color->red,
white_color->red,(double) 1.0);
if ((channel & GreenChannel) != 0)
status&=LevelizeImageChannel(image,GreenChannel,black_color->green,
white_color->green,(double) 1.0);
if ((channel & BlueChannel) != 0)
status&=LevelizeImageChannel(image,BlueChannel,black_color->blue,
white_color->blue,(double) 1.0);
if (((channel & OpacityChannel) != 0) &&
(image->matte != MagickFalse))
status&=LevelizeImageChannel(image,OpacityChannel,black_color->opacity,
white_color->opacity,(double) 1.0);
if (((channel & IndexChannel) != 0) &&
(image->colorspace == CMYKColorspace))
status&=LevelizeImageChannel(image,IndexChannel,black_color->index,
white_color->index,(double) 1.0);
}
return(status == 0 ? MagickFalse : MagickTrue);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% L i n e a r S t r e t c h I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% LinearStretchImage() discards any pixels below the black point and above
% the white point and levels the remaining pixels.
%
% The format of the LinearStretchImage method is:
%
% MagickBooleanType LinearStretchImage(Image *image,
% const double black_point,const double white_point)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o black_point: the black point.
%
% o white_point: the white point.
%
*/
MagickExport MagickBooleanType LinearStretchImage(Image *image,
const double black_point,const double white_point)
{
#define LinearStretchImageTag "LinearStretch/Image"
ExceptionInfo
*exception;
MagickBooleanType
status;
MagickRealType
*histogram,
intensity;
ssize_t
black,
white,
y;
/*
Allocate histogram and linear map.
*/
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
histogram=(MagickRealType *) AcquireQuantumMemory(MaxMap+1UL,
sizeof(*histogram));
if (histogram == (MagickRealType *) NULL)
ThrowBinaryException(ResourceLimitError,"MemoryAllocationFailed",
image->filename);
/*
Form histogram.
*/
(void) ResetMagickMemory(histogram,0,(MaxMap+1)*sizeof(*histogram));
exception=(&image->exception);
for (y=0; y < (ssize_t) image->rows; y++)
{
register const PixelPacket
*magick_restrict p;
register ssize_t
x;
p=GetVirtualPixels(image,0,y,image->columns,1,exception);
if (p == (const PixelPacket *) NULL)
break;
for (x=(ssize_t) image->columns-1; x >= 0; x--)
{
histogram[ScaleQuantumToMap(ClampToQuantum(GetPixelIntensity(image,p)))]++;
p++;
}
}
/*
Find the histogram boundaries by locating the black and white point levels.
*/
intensity=0.0;
for (black=0; black < (ssize_t) MaxMap; black++)
{
intensity+=histogram[black];
if (intensity >= black_point)
break;
}
intensity=0.0;
for (white=(ssize_t) MaxMap; white != 0; white--)
{
intensity+=histogram[white];
if (intensity >= white_point)
break;
}
histogram=(MagickRealType *) RelinquishMagickMemory(histogram);
status=LevelImageChannel(image,DefaultChannels,(double)
ScaleMapToQuantum(black),(double) ScaleMapToQuantum(white),1.0);
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% M o d u l a t e I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ModulateImage() lets you control the brightness, saturation, and hue
% of an image. Modulate represents the brightness, saturation, and hue
% as one parameter (e.g. 90,150,100). If the image colorspace is HSL, the
% modulation is lightness, saturation, and hue. For HWB, use blackness,
% whiteness, and hue. And for HCL, use chrome, luma, and hue.
%
% The format of the ModulateImage method is:
%
% MagickBooleanType ModulateImage(Image *image,const char *modulate)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o modulate: Define the percent change in brightness, saturation, and
% hue.
%
*/
static inline void ModulateHCL(const double percent_hue,
const double percent_chroma,const double percent_luma,Quantum *red,
Quantum *green,Quantum *blue)
{
double
hue,
luma,
chroma;
/*
Increase or decrease color luma, chroma, or hue.
*/
ConvertRGBToHCL(*red,*green,*blue,&hue,&chroma,&luma);
hue+=fmod((percent_hue-100.0),200.0)/200.0;
chroma*=0.01*percent_chroma;
luma*=0.01*percent_luma;
ConvertHCLToRGB(hue,chroma,luma,red,green,blue);
}
static inline void ModulateHCLp(const double percent_hue,
const double percent_chroma,const double percent_luma,Quantum *red,
Quantum *green,Quantum *blue)
{
double
hue,
luma,
chroma;
/*
Increase or decrease color luma, chroma, or hue.
*/
ConvertRGBToHCLp(*red,*green,*blue,&hue,&chroma,&luma);
hue+=fmod((percent_hue-100.0),200.0)/200.0;
chroma*=0.01*percent_chroma;
luma*=0.01*percent_luma;
ConvertHCLpToRGB(hue,chroma,luma,red,green,blue);
}
static inline void ModulateHSB(const double percent_hue,
const double percent_saturation,const double percent_brightness,Quantum *red,
Quantum *green,Quantum *blue)
{
double
brightness,
hue,
saturation;
/*
Increase or decrease color brightness, saturation, or hue.
*/
ConvertRGBToHSB(*red,*green,*blue,&hue,&saturation,&brightness);
hue+=fmod((percent_hue-100.0),200.0)/200.0;
saturation*=0.01*percent_saturation;
brightness*=0.01*percent_brightness;
ConvertHSBToRGB(hue,saturation,brightness,red,green,blue);
}
static inline void ModulateHSI(const double percent_hue,
const double percent_saturation,const double percent_intensity,Quantum *red,
Quantum *green,Quantum *blue)
{
double
intensity,
hue,
saturation;
/*
Increase or decrease color intensity, saturation, or hue.
*/
ConvertRGBToHSI(*red,*green,*blue,&hue,&saturation,&intensity);
hue+=fmod((percent_hue-100.0),200.0)/200.0;
saturation*=0.01*percent_saturation;
intensity*=0.01*percent_intensity;
ConvertHSIToRGB(hue,saturation,intensity,red,green,blue);
}
static inline void ModulateHSL(const double percent_hue,
const double percent_saturation,const double percent_lightness,Quantum *red,
Quantum *green,Quantum *blue)
{
double
hue,
lightness,
saturation;
/*
Increase or decrease color lightness, saturation, or hue.
*/
ConvertRGBToHSL(*red,*green,*blue,&hue,&saturation,&lightness);
hue+=fmod((percent_hue-100.0),200.0)/200.0;
saturation*=0.01*percent_saturation;
lightness*=0.01*percent_lightness;
ConvertHSLToRGB(hue,saturation,lightness,red,green,blue);
}
static inline void ModulateHSV(const double percent_hue,
const double percent_saturation,const double percent_value,Quantum *red,
Quantum *green,Quantum *blue)
{
double
hue,
saturation,
value;
/*
Increase or decrease color value, saturation, or hue.
*/
ConvertRGBToHSV(*red,*green,*blue,&hue,&saturation,&value);
hue+=fmod((percent_hue-100.0),200.0)/200.0;
saturation*=0.01*percent_saturation;
value*=0.01*percent_value;
ConvertHSVToRGB(hue,saturation,value,red,green,blue);
}
static inline void ModulateHWB(const double percent_hue,
const double percent_whiteness,const double percent_blackness,Quantum *red,
Quantum *green,Quantum *blue)
{
double
blackness,
hue,
whiteness;
/*
Increase or decrease color blackness, whiteness, or hue.
*/
ConvertRGBToHWB(*red,*green,*blue,&hue,&whiteness,&blackness);
hue+=fmod((percent_hue-100.0),200.0)/200.0;
blackness*=0.01*percent_blackness;
whiteness*=0.01*percent_whiteness;
ConvertHWBToRGB(hue,whiteness,blackness,red,green,blue);
}
static inline void ModulateLCHab(const double percent_luma,
const double percent_chroma,const double percent_hue,Quantum *red,
Quantum *green,Quantum *blue)
{
double
hue,
luma,
chroma;
/*
Increase or decrease color luma, chroma, or hue.
*/
ConvertRGBToLCHab(*red,*green,*blue,&luma,&chroma,&hue);
luma*=0.01*percent_luma;
chroma*=0.01*percent_chroma;
hue+=fmod((percent_hue-100.0),200.0)/200.0;
ConvertLCHabToRGB(luma,chroma,hue,red,green,blue);
}
static inline void ModulateLCHuv(const double percent_luma,
const double percent_chroma,const double percent_hue,Quantum *red,
Quantum *green,Quantum *blue)
{
double
hue,
luma,
chroma;
/*
Increase or decrease color luma, chroma, or hue.
*/
ConvertRGBToLCHuv(*red,*green,*blue,&luma,&chroma,&hue);
luma*=0.01*percent_luma;
chroma*=0.01*percent_chroma;
hue+=fmod((percent_hue-100.0),200.0)/200.0;
ConvertLCHuvToRGB(luma,chroma,hue,red,green,blue);
}
MagickExport MagickBooleanType ModulateImage(Image *image,const char *modulate)
{
#define ModulateImageTag "Modulate/Image"
CacheView
*image_view;
ColorspaceType
colorspace;
const char
*artifact;
double
percent_brightness,
percent_hue,
percent_saturation;
ExceptionInfo
*exception;
GeometryInfo
geometry_info;
MagickBooleanType
status;
MagickOffsetType
progress;
MagickStatusType
flags;
register ssize_t
i;
ssize_t
y;
/*
Initialize modulate table.
*/
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
if (modulate == (char *) NULL)
return(MagickFalse);
if (IssRGBCompatibleColorspace(image->colorspace) == MagickFalse)
(void) SetImageColorspace(image,sRGBColorspace);
flags=ParseGeometry(modulate,&geometry_info);
percent_brightness=geometry_info.rho;
percent_saturation=geometry_info.sigma;
if ((flags & SigmaValue) == 0)
percent_saturation=100.0;
percent_hue=geometry_info.xi;
if ((flags & XiValue) == 0)
percent_hue=100.0;
colorspace=UndefinedColorspace;
artifact=GetImageArtifact(image,"modulate:colorspace");
if (artifact != (const char *) NULL)
colorspace=(ColorspaceType) ParseCommandOption(MagickColorspaceOptions,
MagickFalse,artifact);
if (image->storage_class == PseudoClass)
for (i=0; i < (ssize_t) image->colors; i++)
{
Quantum
blue,
green,
red;
/*
Modulate image colormap.
*/
red=image->colormap[i].red;
green=image->colormap[i].green;
blue=image->colormap[i].blue;
switch (colorspace)
{
case HCLColorspace:
{
ModulateHCL(percent_hue,percent_saturation,percent_brightness,
&red,&green,&blue);
break;
}
case HCLpColorspace:
{
ModulateHCLp(percent_hue,percent_saturation,percent_brightness,
&red,&green,&blue);
break;
}
case HSBColorspace:
{
ModulateHSB(percent_hue,percent_saturation,percent_brightness,
&red,&green,&blue);
break;
}
case HSIColorspace:
{
ModulateHSI(percent_hue,percent_saturation,percent_brightness,
&red,&green,&blue);
break;
}
case HSLColorspace:
default:
{
ModulateHSL(percent_hue,percent_saturation,percent_brightness,
&red,&green,&blue);
break;
}
case HSVColorspace:
{
ModulateHSV(percent_hue,percent_saturation,percent_brightness,
&red,&green,&blue);
break;
}
case HWBColorspace:
{
ModulateHWB(percent_hue,percent_saturation,percent_brightness,
&red,&green,&blue);
break;
}
case LCHabColorspace:
case LCHColorspace:
{
ModulateLCHab(percent_brightness,percent_saturation,percent_hue,
&red,&green,&blue);
break;
}
case LCHuvColorspace:
{
ModulateLCHuv(percent_brightness,percent_saturation,percent_hue,
&red,&green,&blue);
break;
}
}
image->colormap[i].red=red;
image->colormap[i].green=green;
image->colormap[i].blue=blue;
}
/*
Modulate image.
*/
/* call opencl version */
#if defined(MAGICKCORE_OPENCL_SUPPORT)
status=AccelerateModulateImage(image,percent_brightness,percent_hue,
percent_saturation,colorspace,&image->exception);
if (status != MagickFalse)
return status;
#endif
status=MagickTrue;
progress=0;
exception=(&image->exception);
image_view=AcquireAuthenticCacheView(image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static,4) shared(progress,status) \
magick_number_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
register PixelPacket
*magick_restrict q;
register ssize_t
x;
if (status == MagickFalse)
continue;
q=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,exception);
if (q == (PixelPacket *) NULL)
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
Quantum
blue,
green,
red;
red=GetPixelRed(q);
green=GetPixelGreen(q);
blue=GetPixelBlue(q);
switch (colorspace)
{
case HCLColorspace:
{
ModulateHCL(percent_hue,percent_saturation,percent_brightness,
&red,&green,&blue);
break;
}
case HCLpColorspace:
{
ModulateHCLp(percent_hue,percent_saturation,percent_brightness,
&red,&green,&blue);
break;
}
case HSBColorspace:
{
ModulateHSB(percent_hue,percent_saturation,percent_brightness,
&red,&green,&blue);
break;
}
case HSLColorspace:
default:
{
ModulateHSL(percent_hue,percent_saturation,percent_brightness,
&red,&green,&blue);
break;
}
case HSVColorspace:
{
ModulateHSV(percent_hue,percent_saturation,percent_brightness,
&red,&green,&blue);
break;
}
case HWBColorspace:
{
ModulateHWB(percent_hue,percent_saturation,percent_brightness,
&red,&green,&blue);
break;
}
case LCHabColorspace:
{
ModulateLCHab(percent_brightness,percent_saturation,percent_hue,
&red,&green,&blue);
break;
}
case LCHColorspace:
case LCHuvColorspace:
{
ModulateLCHuv(percent_brightness,percent_saturation,percent_hue,
&red,&green,&blue);
break;
}
}
SetPixelRed(q,red);
SetPixelGreen(q,green);
SetPixelBlue(q,blue);
q++;
}
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp critical (MagickCore_ModulateImage)
#endif
proceed=SetImageProgress(image,ModulateImageTag,progress++,image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
image_view=DestroyCacheView(image_view);
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% N e g a t e I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% NegateImage() negates the colors in the reference image. The grayscale
% option means that only grayscale values within the image are negated.
%
% The format of the NegateImageChannel method is:
%
% MagickBooleanType NegateImage(Image *image,
% const MagickBooleanType grayscale)
% MagickBooleanType NegateImageChannel(Image *image,
% const ChannelType channel,const MagickBooleanType grayscale)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o channel: the channel.
%
% o grayscale: If MagickTrue, only negate grayscale pixels within the image.
%
*/
MagickExport MagickBooleanType NegateImage(Image *image,
const MagickBooleanType grayscale)
{
MagickBooleanType
status;
status=NegateImageChannel(image,DefaultChannels,grayscale);
return(status);
}
MagickExport MagickBooleanType NegateImageChannel(Image *image,
const ChannelType channel,const MagickBooleanType grayscale)
{
#define NegateImageTag "Negate/Image"
CacheView
*image_view;
ExceptionInfo
*exception;
MagickBooleanType
status;
MagickOffsetType
progress;
register ssize_t
i;
ssize_t
y;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
if (image->storage_class == PseudoClass)
{
/*
Negate colormap.
*/
for (i=0; i < (ssize_t) image->colors; i++)
{
if (grayscale != MagickFalse)
if ((image->colormap[i].red != image->colormap[i].green) ||
(image->colormap[i].green != image->colormap[i].blue))
continue;
if ((channel & RedChannel) != 0)
image->colormap[i].red=QuantumRange-image->colormap[i].red;
if ((channel & GreenChannel) != 0)
image->colormap[i].green=QuantumRange-image->colormap[i].green;
if ((channel & BlueChannel) != 0)
image->colormap[i].blue=QuantumRange-image->colormap[i].blue;
}
}
/*
Negate image.
*/
status=MagickTrue;
progress=0;
exception=(&image->exception);
image_view=AcquireAuthenticCacheView(image,exception);
if (grayscale != MagickFalse)
{
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static,4) shared(progress,status) \
magick_number_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
MagickBooleanType
sync;
register IndexPacket
*magick_restrict indexes;
register PixelPacket
*magick_restrict q;
register ssize_t
x;
if (status == MagickFalse)
continue;
q=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,
exception);
if (q == (PixelPacket *) NULL)
{
status=MagickFalse;
continue;
}
indexes=GetCacheViewAuthenticIndexQueue(image_view);
for (x=0; x < (ssize_t) image->columns; x++)
{
if ((GetPixelRed(q) != GetPixelGreen(q)) ||
(GetPixelGreen(q) != GetPixelBlue(q)))
{
q++;
continue;
}
if ((channel & RedChannel) != 0)
SetPixelRed(q,QuantumRange-GetPixelRed(q));
if ((channel & GreenChannel) != 0)
SetPixelGreen(q,QuantumRange-GetPixelGreen(q));
if ((channel & BlueChannel) != 0)
SetPixelBlue(q,QuantumRange-GetPixelBlue(q));
if ((channel & OpacityChannel) != 0)
SetPixelOpacity(q,QuantumRange-GetPixelOpacity(q));
if (((channel & IndexChannel) != 0) &&
(image->colorspace == CMYKColorspace))
SetPixelIndex(indexes+x,QuantumRange-GetPixelIndex(indexes+x));
q++;
}
sync=SyncCacheViewAuthenticPixels(image_view,exception);
if (sync == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp critical (MagickCore_NegateImageChannel)
#endif
proceed=SetImageProgress(image,NegateImageTag,progress++,
image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
image_view=DestroyCacheView(image_view);
return(MagickTrue);
}
/*
Negate image.
*/
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static,4) shared(progress,status) \
magick_number_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
register IndexPacket
*magick_restrict indexes;
register PixelPacket
*magick_restrict q;
register ssize_t
x;
if (status == MagickFalse)
continue;
q=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,exception);
if (q == (PixelPacket *) NULL)
{
status=MagickFalse;
continue;
}
indexes=GetCacheViewAuthenticIndexQueue(image_view);
if (channel == DefaultChannels)
for (x=0; x < (ssize_t) image->columns; x++)
{
SetPixelRed(q+x,QuantumRange-GetPixelRed(q+x));
SetPixelGreen(q+x,QuantumRange-GetPixelGreen(q+x));
SetPixelBlue(q+x,QuantumRange-GetPixelBlue(q+x));
}
else
for (x=0; x < (ssize_t) image->columns; x++)
{
if ((channel & RedChannel) != 0)
SetPixelRed(q+x,QuantumRange-GetPixelRed(q+x));
if ((channel & GreenChannel) != 0)
SetPixelGreen(q+x,QuantumRange-GetPixelGreen(q+x));
if ((channel & BlueChannel) != 0)
SetPixelBlue(q+x,QuantumRange-GetPixelBlue(q+x));
if ((channel & OpacityChannel) != 0)
SetPixelOpacity(q+x,QuantumRange-GetPixelOpacity(q+x));
}
if (((channel & IndexChannel) != 0) &&
(image->colorspace == CMYKColorspace))
for (x=0; x < (ssize_t) image->columns; x++)
SetPixelIndex(indexes+x,QuantumRange-GetPixelIndex(indexes+x));
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp critical (MagickCore_NegateImageChannel)
#endif
proceed=SetImageProgress(image,NegateImageTag,progress++,image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
image_view=DestroyCacheView(image_view);
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% N o r m a l i z e I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% The NormalizeImage() method enhances the contrast of a color image by
% mapping the darkest 2 percent of all pixel to black and the brightest
% 1 percent to white.
%
% The format of the NormalizeImage method is:
%
% MagickBooleanType NormalizeImage(Image *image)
% MagickBooleanType NormalizeImageChannel(Image *image,
% const ChannelType channel)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o channel: the channel.
%
*/
MagickExport MagickBooleanType NormalizeImage(Image *image)
{
MagickBooleanType
status;
status=NormalizeImageChannel(image,DefaultChannels);
return(status);
}
MagickExport MagickBooleanType NormalizeImageChannel(Image *image,
const ChannelType channel)
{
double
black_point,
white_point;
black_point=(double) image->columns*image->rows*0.0015;
white_point=(double) image->columns*image->rows*0.9995;
return(ContrastStretchImageChannel(image,channel,black_point,white_point));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S i g m o i d a l C o n t r a s t I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% SigmoidalContrastImage() adjusts the contrast of an image with a non-linear
% sigmoidal contrast algorithm. Increase the contrast of the image using a
% sigmoidal transfer function without saturating highlights or shadows.
% Contrast indicates how much to increase the contrast (0 is none; 3 is
% typical; 20 is pushing it); mid-point indicates where midtones fall in the
% resultant image (0 is white; 50% is middle-gray; 100% is black). Set
% sharpen to MagickTrue to increase the image contrast otherwise the contrast
% is reduced.
%
% The format of the SigmoidalContrastImage method is:
%
% MagickBooleanType SigmoidalContrastImage(Image *image,
% const MagickBooleanType sharpen,const char *levels)
% MagickBooleanType SigmoidalContrastImageChannel(Image *image,
% const ChannelType channel,const MagickBooleanType sharpen,
% const double contrast,const double midpoint)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o channel: the channel.
%
% o sharpen: Increase or decrease image contrast.
%
% o contrast: strength of the contrast, the larger the number the more
% 'threshold-like' it becomes.
%
% o midpoint: midpoint of the function as a color value 0 to QuantumRange.
%
*/
/*
ImageMagick 7 has a version of this function which does not use LUTs.
*/
/*
Sigmoidal function Sigmoidal with inflexion point moved to b and "slope
constant" set to a.
The first version, based on the hyperbolic tangent tanh, when combined with
the scaling step, is an exact arithmetic clone of the the sigmoid function
based on the logistic curve. The equivalence is based on the identity
1/(1+exp(-t)) = (1+tanh(t/2))/2
(http://de.wikipedia.org/wiki/Sigmoidfunktion) and the fact that the
scaled sigmoidal derivation is invariant under affine transformations of
the ordinate.
The tanh version is almost certainly more accurate and cheaper. The 0.5
factor in the argument is to clone the legacy ImageMagick behavior. The
reason for making the define depend on atanh even though it only uses tanh
has to do with the construction of the inverse of the scaled sigmoidal.
*/
#if defined(MAGICKCORE_HAVE_ATANH)
#define Sigmoidal(a,b,x) ( tanh((0.5*(a))*((x)-(b))) )
#else
#define Sigmoidal(a,b,x) ( 1.0/(1.0+exp((a)*((b)-(x)))) )
#endif
/*
Scaled sigmoidal function:
( Sigmoidal(a,b,x) - Sigmoidal(a,b,0) ) /
( Sigmoidal(a,b,1) - Sigmoidal(a,b,0) )
See http://osdir.com/ml/video.image-magick.devel/2005-04/msg00006.html and
http://www.cs.dartmouth.edu/farid/downloads/tutorials/fip.pdf. The limit
of ScaledSigmoidal as a->0 is the identity, but a=0 gives a division by
zero. This is fixed below by exiting immediately when contrast is small,
leaving the image (or colormap) unmodified. This appears to be safe because
the series expansion of the logistic sigmoidal function around x=b is
1/2-a*(b-x)/4+...
so that the key denominator s(1)-s(0) is about a/4 (a/2 with tanh).
*/
#define ScaledSigmoidal(a,b,x) ( \
(Sigmoidal((a),(b),(x))-Sigmoidal((a),(b),0.0)) / \
(Sigmoidal((a),(b),1.0)-Sigmoidal((a),(b),0.0)) )
/*
Inverse of ScaledSigmoidal, used for +sigmoidal-contrast. Because b
may be 0 or 1, the argument of the hyperbolic tangent (resp. logistic
sigmoidal) may be outside of the interval (-1,1) (resp. (0,1)), even
when creating a LUT from in gamut values, hence the branching. In
addition, HDRI may have out of gamut values.
InverseScaledSigmoidal is not a two-sided inverse of ScaledSigmoidal:
It is only a right inverse. This is unavoidable.
*/
static inline double InverseScaledSigmoidal(const double a,const double b,
const double x)
{
const double sig0=Sigmoidal(a,b,0.0);
const double sig1=Sigmoidal(a,b,1.0);
const double argument=(sig1-sig0)*x+sig0;
const double clamped=
(
#if defined(MAGICKCORE_HAVE_ATANH)
argument < -1+MagickEpsilon
?
-1+MagickEpsilon
:
( argument > 1-MagickEpsilon ? 1-MagickEpsilon : argument )
);
return(b+(2.0/a)*atanh(clamped));
#else
argument < MagickEpsilon
?
MagickEpsilon
:
( argument > 1-MagickEpsilon ? 1-MagickEpsilon : argument )
);
return(b-log(1.0/clamped-1.0)/a);
#endif
}
MagickExport MagickBooleanType SigmoidalContrastImage(Image *image,
const MagickBooleanType sharpen,const char *levels)
{
GeometryInfo
geometry_info;
MagickBooleanType
status;
MagickStatusType
flags;
flags=ParseGeometry(levels,&geometry_info);
if ((flags & SigmaValue) == 0)
geometry_info.sigma=1.0*QuantumRange/2.0;
if ((flags & PercentValue) != 0)
geometry_info.sigma=1.0*QuantumRange*geometry_info.sigma/100.0;
status=SigmoidalContrastImageChannel(image,DefaultChannels,sharpen,
geometry_info.rho,geometry_info.sigma);
return(status);
}
MagickExport MagickBooleanType SigmoidalContrastImageChannel(Image *image,
const ChannelType channel,const MagickBooleanType sharpen,
const double contrast,const double midpoint)
{
#define SigmoidalContrastImageTag "SigmoidalContrast/Image"
CacheView
*image_view;
ExceptionInfo
*exception;
MagickBooleanType
status;
MagickOffsetType
progress;
MagickRealType
*sigmoidal_map;
register ssize_t
i;
ssize_t
y;
/*
Side effect: clamps values unless contrast<MagickEpsilon, in which
case nothing is done.
*/
if (contrast < MagickEpsilon)
return(MagickTrue);
/*
Allocate and initialize sigmoidal maps.
*/
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
sigmoidal_map=(MagickRealType *) AcquireQuantumMemory(MaxMap+1UL,
sizeof(*sigmoidal_map));
if (sigmoidal_map == (MagickRealType *) NULL)
ThrowBinaryException(ResourceLimitError,"MemoryAllocationFailed",
image->filename);
(void) ResetMagickMemory(sigmoidal_map,0,(MaxMap+1)*sizeof(*sigmoidal_map));
if (sharpen != MagickFalse)
for (i=0; i <= (ssize_t) MaxMap; i++)
sigmoidal_map[i]=(MagickRealType) ScaleMapToQuantum((MagickRealType)
(MaxMap*ScaledSigmoidal(contrast,QuantumScale*midpoint,(double) i/
MaxMap)));
else
for (i=0; i <= (ssize_t) MaxMap; i++)
sigmoidal_map[i]=(MagickRealType) ScaleMapToQuantum((MagickRealType) (
MaxMap*InverseScaledSigmoidal(contrast,QuantumScale*midpoint,(double) i/
MaxMap)));
/*
Sigmoidal-contrast enhance colormap.
*/
if (image->storage_class == PseudoClass)
for (i=0; i < (ssize_t) image->colors; i++)
{
if ((channel & RedChannel) != 0)
image->colormap[i].red=ClampToQuantum(sigmoidal_map[
ScaleQuantumToMap(image->colormap[i].red)]);
if ((channel & GreenChannel) != 0)
image->colormap[i].green=ClampToQuantum(sigmoidal_map[
ScaleQuantumToMap(image->colormap[i].green)]);
if ((channel & BlueChannel) != 0)
image->colormap[i].blue=ClampToQuantum(sigmoidal_map[
ScaleQuantumToMap(image->colormap[i].blue)]);
if ((channel & OpacityChannel) != 0)
image->colormap[i].opacity=ClampToQuantum(sigmoidal_map[
ScaleQuantumToMap(image->colormap[i].opacity)]);
}
/*
Sigmoidal-contrast enhance image.
*/
status=MagickTrue;
progress=0;
exception=(&image->exception);
image_view=AcquireAuthenticCacheView(image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static,4) shared(progress,status) \
magick_number_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
register IndexPacket
*magick_restrict indexes;
register PixelPacket
*magick_restrict q;
register ssize_t
x;
if (status == MagickFalse)
continue;
q=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,exception);
if (q == (PixelPacket *) NULL)
{
status=MagickFalse;
continue;
}
indexes=GetCacheViewAuthenticIndexQueue(image_view);
for (x=0; x < (ssize_t) image->columns; x++)
{
if ((channel & RedChannel) != 0)
SetPixelRed(q,ClampToQuantum(sigmoidal_map[ScaleQuantumToMap(
GetPixelRed(q))]));
if ((channel & GreenChannel) != 0)
SetPixelGreen(q,ClampToQuantum(sigmoidal_map[ScaleQuantumToMap(
GetPixelGreen(q))]));
if ((channel & BlueChannel) != 0)
SetPixelBlue(q,ClampToQuantum(sigmoidal_map[ScaleQuantumToMap(
GetPixelBlue(q))]));
if ((channel & OpacityChannel) != 0)
SetPixelOpacity(q,ClampToQuantum(sigmoidal_map[ScaleQuantumToMap(
GetPixelOpacity(q))]));
if (((channel & IndexChannel) != 0) &&
(image->colorspace == CMYKColorspace))
SetPixelIndex(indexes+x,ClampToQuantum(sigmoidal_map[ScaleQuantumToMap(
GetPixelIndex(indexes+x))]));
q++;
}
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp critical (MagickCore_SigmoidalContrastImageChannel)
#endif
proceed=SetImageProgress(image,SigmoidalContrastImageTag,progress++,
image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
image_view=DestroyCacheView(image_view);
sigmoidal_map=(MagickRealType *) RelinquishMagickMemory(sigmoidal_map);
return(status);
}
|
video_mlv.c | #include <stdint.h>
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <strings.h>
#include <math.h>
#include <time.h>
#include <stdint.h>
#include "video_mlv.h"
/* Lossless decompression */
#include "liblj92/lj92.h"
#include "liblj92/lj92.c"
#define ROR32(v,a) ((v) >> (a) | (v) << (32-(a)))
static void
mlv_read_audio(mlv_header_t *video)
{
if(!((video->MLVI.audioClass) && video->audios && (video->WAVI.channels != 0)))
return;
int fread_err = 1;
uint64_t mlv_audio_buffer_offset = 0;
uint64_t mlv_audio_size = 0;
for (uint32_t i = 0; i < video->audios; ++i)
mlv_audio_size += video->audio_index[i].frame_size;
uint8_t *mlv_audio_buffer = malloc(mlv_audio_size);
for (uint32_t i = 0; i < video->audios; ++i)
{
/* Go to audio block position */
fseek(video->file[video->audio_index[i].chunk_num], video->audio_index[i].frame_offset, SEEK_SET);
/* Read to location of audio */
fread_err &= fread(mlv_audio_buffer + mlv_audio_buffer_offset, video->audio_index[i].frame_size, 1, video->file[video->audio_index[i].chunk_num]);
/* New audio position */
mlv_audio_buffer_offset += video->audio_index[i].frame_size;
}
if(!fread_err)
{
free(mlv_audio_buffer);
return;
}
/* Calculate the sum of audio sample sizes for all audio channels */
uint64_t audio_sample_size = (video)->WAVI.channels * (video)->WAVI.bitsPerSample / 8;
/* Calculate the audio alignement block size in bytes */
uint16_t block_align = audio_sample_size * 1024;
/* Get time difference of first video and audio frames and calculate the sync offset */
uint64_t negative_offset = 0;
uint64_t positive_offset = 0;
int64_t sync_offset = (int64_t)( ( (double)video->video_index[0].frame_time - (double)video->audio_index[0].frame_time ) * (double)(
video->WAVI.samplingRate * audio_sample_size / 1000000.0 ) );
if(sync_offset >= 0) negative_offset = (uint64_t)sync_offset - ((uint64_t)sync_offset % audio_sample_size); // Make sure value is multiple of sum of all channel sample sizes
else positive_offset = (uint64_t)(-sync_offset) - ((uint64_t)(-sync_offset) % audio_sample_size);
/* Calculate synced audio size */
uint64_t synced_audio_size = mlv_audio_size - negative_offset + positive_offset;
/* Check if synced_audio_size is multiple of 'block_align' bytes and add one more block */
uint64_t synced_audio_size_aligned = synced_audio_size - (synced_audio_size % block_align) + block_align;
/* Allocate synced audio buffer */
video->audio_data = calloc( synced_audio_size_aligned, 1 );
/* Copy cut/shifted audio data to the synced audio buffer */
memcpy(video->audio_data + positive_offset, mlv_audio_buffer + negative_offset, mlv_audio_size - negative_offset);
free(mlv_audio_buffer);
/* Calculate theoretical audio size according to fps */
uint64_t theoretic_size = (uint64_t)( (double)(
video->WAVI.samplingRate
* audio_sample_size *
video->frames
) /
((double)(video->MLVI.sourceFpsNom / (double)video->MLVI.sourceFpsDenom))
);
/* Check if theoretic_size is multiple of 'block_align' bytes and add one more block */
uint64_t theoretic_size_aligned = theoretic_size - (theoretic_size % block_align) + block_align;
/* Check calculated synced_audio_size_aligned against theoretic_size_aligned */
uint64_t final_audio_size_aligned = MIN(theoretic_size_aligned, synced_audio_size_aligned);
video->audio_buffer_size = synced_audio_size_aligned;
video->audio_size = final_audio_size_aligned;
}
static int seek_to_next_known_block(FILE * in_file)
{
uint64_t read_ahead_size = 128 * 1024 * 1024;
uint8_t *ahead = malloc(read_ahead_size);
uint64_t read = fread(ahead, 1, read_ahead_size, in_file);
fseek(in_file, -read, SEEK_CUR);
for (uint64_t i = 0; i < read; i++)
{
if (memcmp(ahead + i, "VIDF", 4) == 0 ||
memcmp(ahead + i, "AUDF", 4) == 0 ||
memcmp(ahead + i, "NULL", 4) == 0 ||
memcmp(ahead + i, "RTCI", 4) == 0)
{
fseek(in_file, i, SEEK_CUR);
free(ahead);
return 1;
}
}
free(ahead);
return 0;
}
/* Spanned multichunk MLV file handling */
static FILE **load_all_chunks(const char *base_filename, int *entries)
{
int seq_number = 0;
int max_name_len = strlen(base_filename) + 16;
char *filename = alloca(max_name_len);
strncpy(filename, base_filename, max_name_len - 1);
FILE **files = malloc(sizeof(FILE*));
files[0] = fopen(filename, "rb");
if(!files[0])
{
free(files);
return NULL;
}
// FIXME i think this test is broken and should probably return 0 anyways
/* get extension and check if it is a .MLV */
char *dot = strrchr(filename, '.');
if(dot && strcasecmp(dot+1, "mlv"))
seq_number = 100;
(*entries)++;
while(seq_number < 99)
{
FILE **realloc_files = realloc(files, (*entries + 1) * sizeof(FILE*));
if(!realloc_files)
{
free(files);
return NULL;
}
files = realloc_files;
/* check for the next file M00, M01 etc */
char seq_name[8];
sprintf(seq_name, "%02d", seq_number);
seq_number++;
strcpy(&filename[strlen(filename) - 2], seq_name);
/* try to open */
files[*entries] = fopen(filename, "rb");
if(files[*entries]) (*entries)++;
else break;
}
return files;
}
static void close_all_chunks(FILE ** files, int entries)
{
for(int i = 0; i < entries; i++)
if(files[i]) fclose(files[i]);
if(files) free(files);
}
// TODO: replace by qsort
static void frame_index_sort(mlv_frame_index_t *frame_index, uint32_t entries)
{
if (!entries) return;
uint32_t n = entries;
do
{
uint32_t new_n = 1;
for (uint32_t i = 0; i < n-1; ++i)
{
if (frame_index[i].frame_time > frame_index[i+1].frame_time)
{
mlv_frame_index_t tmp = frame_index[i+1];
frame_index[i+1] = frame_index[i];
frame_index[i] = tmp;
new_n = i + 1;
}
}
n = new_n;
} while (n > 1);
}
/* Unpack or decompress original raw data */
int mlv_get_frame(
mlv_header_t *video,
uint64_t frame_index,
uint16_t *unpackedFrame)
{
int bitdepth = video->RAWI.raw_info.bits_per_pixel;
int width = video->RAWI.xRes;
int height = video->RAWI.yRes;
int pixel_cnt = width * height;
int chunk = video->video_index[frame_index].chunk_num;
uint32_t frame_size = video->video_index[frame_index].frame_size;
uint64_t frame_offset = video->video_index[frame_index].frame_offset;
uint64_t frame_header_offset = video->video_index[frame_index].block_offset;
/* How many bytes is RAW frame */
int raw_frame_size = (width * height * bitdepth) / 8;
/* Memory buffer for original RAW data */
uint8_t *raw_frame = malloc(raw_frame_size + 4); // additional 4 bytes for safety
FILE *file = video->file[chunk];
fseek(file, frame_header_offset, SEEK_SET);
if(fread(&video->VIDF, sizeof(mlv_vidf_hdr_t), 1, file) != 1)
{
free(raw_frame);
return 1;
}
fseek(file, frame_offset, SEEK_SET);
if (video->MLVI.videoClass & MLV_VIDEO_CLASS_FLAG_LJ92)
{
if(fread(raw_frame, frame_size, 1, file) != 1)
{ // frame data read error
free(raw_frame);
return 1;
}
int components = 1;
lj92 decoder_object;
int ret = lj92_open(&decoder_object, raw_frame, frame_size, &width, &height, &bitdepth, &components);
if(ret != LJ92_ERROR_NONE)
{ // lj92 decoding failed
free(raw_frame);
return 1;
}
else
{
ret = lj92_decode(decoder_object, unpackedFrame, width * height * components, 0, NULL, 0);
if(ret != LJ92_ERROR_NONE)
{ // lj92 failure
free(raw_frame);
return 1;
}
}
lj92_close(decoder_object);
}
else /* If not compressed just unpack to 16bit */
{
if(fread(raw_frame, raw_frame_size, 1, file) != 1)
{ // can't read frame data
free(raw_frame);
return 1;
}
uint32_t mask = (1 << bitdepth) - 1;
#pragma omp parallel for
for (int i = 0; i < pixel_cnt; ++i)
{
uint32_t bits_offset = i * bitdepth;
uint32_t bits_address = bits_offset / 16;
uint32_t bits_shift = bits_offset % 16;
uint32_t rotate_value = 16 + ((32 - bitdepth) - bits_shift);
uint32_t uncorrected_data = *((uint32_t *)&((uint16_t *)raw_frame)[bits_address]);
uint32_t data = ROR32(uncorrected_data, rotate_value);
unpackedFrame[i] = ((uint16_t)(data & mask));
}
}
free(raw_frame);
return 0;
}
void mlv_header_init(mlv_header_t *video)
{
memset(video, 0, sizeof(*video));
}
/* Free all memory and close file */
void mlv_header_cleanup(mlv_header_t *video)
{
/* Close all MLV file chunks */
if(video->file) close_all_chunks(video->file, video->filenum);
/* Free all memory */
free(video->video_index);
free(video->audio_index);
free(video->vers_index);
free(video->audio_data);
memset(video, 0, sizeof(*video));
}
int mlv_open_clip(
mlv_header_t *video,
const char *filename,
int open_mode)
{
video->file = load_all_chunks(filename, &video->filenum);
if(!video->file) return MLV_ERR_OPEN; // can not open file
uint64_t block_num = 0; /* Number of blocks in file */
mlv_hdr_t block_header; /* Basic MLV block header */
uint64_t video_frames = 0; /* Number of frames in video */
uint64_t audio_frames = 0; /* Number of audio blocks in video */
uint32_t vers_blocks = 0; /* Number of VERS blocks in MLV */
uint64_t video_index_max = 0; /* initial size of frame index */
uint64_t audio_index_max = 0; /* initial size of audio index */
uint32_t vers_index_max = 0; /* initial size of VERS index */
int mlvi_read = 0; /* Flips to 1 if 1st chunk MLVI block was read */
int rtci_read = 0; /* Flips to 1 if 1st RTCI block was read */
int lens_read = 0; /* Flips to 1 if 1st LENS block was read */
int elns_read = 0; /* Flips to 1 if 1st ELNS block was read */
int wbal_read = 0; /* Flips to 1 if 1st WBAL block was read */
int styl_read = 0; /* Flips to 1 if 1st STYL block was read */
int fread_err = 1;
for(int i = 0; i < video->filenum; i++)
{
/* Getting size of file in bytes */
fseek(video->file[i], 0, SEEK_END);
uint64_t file_size = ftell(video->file[i]);
if(!file_size)
{
--video->filenum;
return MLV_ERR_INVALID;
}
fseek(video->file[i], 0, SEEK_SET); /* Start of file */
/* Read file header */
if(fread(&block_header, sizeof(mlv_hdr_t), 1, video->file[i]) != 1)
{
--video->filenum;
return MLV_ERR_INVALID;
}
fseek(video->file[i], 0, SEEK_SET); /* Start of file */
if(memcmp(block_header.blockType, "MLVI", 4) == 0)
{
if( !mlvi_read )
{
fread_err &= fread(&video->MLVI, sizeof(mlv_file_hdr_t), 1, video->file[i]);
mlvi_read = 1; // read MLVI only for first chunk
}
}
else
{
--video->filenum;
return MLV_ERR_INVALID;
}
while ( ftell(video->file[i]) < file_size ) /* Check if were at end of file yet */
{
/* Record position to go back to it later if block is read */
uint64_t block_start = ftell(video->file[i]);
/* Read block header */
fread_err &= fread(&block_header, sizeof(mlv_hdr_t), 1, video->file[i]);
if(block_header.blockSize < sizeof(mlv_hdr_t))
{ // invalid block size
--video->filenum;
return MLV_ERR_INVALID;
}
/* Next block location */
uint64_t next_block = (uint64_t)block_start + (uint64_t)block_header.blockSize;
/* Go back to start of block for next bit */
fseek(video->file[i], block_start, SEEK_SET);
/* Now check what kind of block it is and read it in to the mlv object */
if ( memcmp(block_header.blockType, "NULL", 4) == 0 || memcmp(block_header.blockType, "BKUP", 4) == 0)
{
/* do nothing, skip this block */
}
else if ( memcmp(block_header.blockType, "VIDF", 4) == 0 )
{
fread_err &= fread(&video->VIDF, sizeof(mlv_vidf_hdr_t), 1, video->file[i]);
/* Dynamically resize the frame index buffer */
if(!video_index_max)
{
video_index_max = 128;
video->video_index = calloc(video_index_max, sizeof(mlv_frame_index_t));
}
else if(video_frames >= video_index_max - 1)
{
uint64_t video_index_new_size = video_index_max * 2;
mlv_frame_index_t * video_index_new = calloc(video_index_new_size, sizeof(mlv_frame_index_t));
memcpy(video_index_new, video->video_index, video_index_max * sizeof(mlv_frame_index_t));
free(video->video_index);
video->video_index = video_index_new;
video_index_max = video_index_new_size;
}
/* Fill frame index */
video->video_index[video_frames].frame_type = 1;
video->video_index[video_frames].chunk_num = i;
video->video_index[video_frames].frame_size = video->VIDF.blockSize - sizeof(mlv_vidf_hdr_t) - video->VIDF.frameSpace;
video->video_index[video_frames].frame_offset = ftell(video->file[i]) + video->VIDF.frameSpace;
video->video_index[video_frames].frame_number = video->VIDF.frameNumber;
video->video_index[video_frames].frame_time = video->VIDF.timestamp;
video->video_index[video_frames].block_offset = block_start;
/* Count actual video frames */
video_frames++;
/* In preview mode exit loop after first videf read */
if(open_mode == MLV_OPEN_PREVIEW)
{
video->frames = video_frames;
video->audios = audio_frames;
goto preview_out;
}
}
else if ( memcmp(block_header.blockType, "AUDF", 4) == 0 )
{
fread_err &= fread(&video->AUDF, sizeof(mlv_audf_hdr_t), 1, video->file[i]);
/* Dynamically resize the audio index buffer */
if(!audio_index_max)
{
audio_index_max = 32;
video->audio_index = malloc(sizeof(mlv_frame_index_t) * audio_index_max);
}
else if(audio_frames >= audio_index_max - 1)
{
uint64_t audio_index_new_size = audio_index_max * 2;
mlv_frame_index_t * audio_index_new = calloc(audio_index_new_size, sizeof(mlv_frame_index_t));
memcpy(audio_index_new, video->audio_index, audio_index_max * sizeof(mlv_frame_index_t));
free(video->audio_index);
video->audio_index = audio_index_new;
audio_index_max = audio_index_new_size;
}
/* Fill audio index */
video->audio_index[audio_frames].frame_type = 2;
video->audio_index[audio_frames].chunk_num = i;
video->audio_index[audio_frames].frame_size = video->AUDF.blockSize - sizeof(mlv_audf_hdr_t) - video->AUDF.frameSpace;
video->audio_index[audio_frames].frame_offset = ftell(video->file[i]) + video->AUDF.frameSpace;
video->audio_index[audio_frames].frame_number = video->AUDF.frameNumber;
video->audio_index[audio_frames].frame_time = video->AUDF.timestamp;
video->audio_index[audio_frames].block_offset = block_start;
/* Count actual audio frames */
audio_frames++;
}
else if ( memcmp(block_header.blockType, "RAWI", 4) == 0 )
{
fread_err &= fread(&video->RAWI, sizeof(mlv_rawi_hdr_t), 1, video->file[i]);
}
else if ( memcmp(block_header.blockType, "RAWC", 4) == 0 )
{
fread_err &= fread(&video->RAWC, sizeof(mlv_rawc_hdr_t), 1, video->file[i]);
}
else if ( memcmp(block_header.blockType, "WAVI", 4) == 0 )
{
fread_err &= fread(&video->WAVI, sizeof(mlv_wavi_hdr_t), 1, video->file[i]);
}
else if ( memcmp(block_header.blockType, "EXPO", 4) == 0 )
{
fread_err &= fread(&video->EXPO, sizeof(mlv_expo_hdr_t), 1, video->file[i]);
}
else if ( memcmp(block_header.blockType, "LENS", 4) == 0 )
{
if( !lens_read )
{
fread_err &= fread(&video->LENS, sizeof(mlv_lens_hdr_t), 1, video->file[i]);
lens_read = 1; //read only first one
//Terminate string, if it isn't terminated.
for( int n = 0; n < 32; n++ )
{
if( video->LENS.lensName[n] == '\0' ) break;
if( n == 31 ) video->LENS.lensName[n] = '\0';
}
}
}
else if ( memcmp(block_header.blockType, "ELNS", 4) == 0 )
{
if( !elns_read )
{
fread_err &= fread(&video->ELNS, sizeof(mlv_elns_hdr_t), 1, video->file[i]);
elns_read = 1; //read only first one
}
}
else if ( memcmp(block_header.blockType, "WBAL", 4) == 0 )
{
if( !wbal_read )
{
fread_err &= fread(&video->WBAL, sizeof(mlv_wbal_hdr_t), 1, video->file[i]);
wbal_read = 1; //read only first one
}
}
else if ( memcmp(block_header.blockType, "STYL", 4) == 0 )
{
if( !styl_read )
{
fread_err &= fread(&video->STYL, sizeof(mlv_styl_hdr_t), 1, video->file[i]);
styl_read = 1; //read only first one
}
}
else if ( memcmp(block_header.blockType, "RTCI", 4) == 0 )
{
if( !rtci_read )
{
fread_err &= fread(&video->RTCI, sizeof(mlv_rtci_hdr_t), 1, video->file[i]);
rtci_read = 1; //read only first one
}
}
else if ( memcmp(block_header.blockType, "IDNT", 4) == 0 )
{
fread_err &= fread(&video->IDNT, sizeof(mlv_idnt_hdr_t), 1, video->file[i]);
}
else if ( memcmp(block_header.blockType, "INFO", 4) == 0 )
{
fread_err &= fread(&video->INFO, sizeof(mlv_info_hdr_t), 1, video->file[i]);
if(video->INFO.blockSize > sizeof(mlv_info_hdr_t))
{
fread_err &= fread(&video->INFO_STRING, video->INFO.blockSize - sizeof(mlv_info_hdr_t), 1, video->file[i]);
}
}
else if ( memcmp(block_header.blockType, "DISO", 4) == 0 )
{
fread_err &= fread(&video->DISO, sizeof(mlv_diso_hdr_t), 1, video->file[i]);
}
else if ( memcmp(block_header.blockType, "MARK", 4) == 0 )
{
/* do nothing atm */
//fread(&video->MARK, sizeof(mlv_mark_hdr_t), 1, video->file[i]);
}
else if ( memcmp(block_header.blockType, "ELVL", 4) == 0 )
{
/* do nothing atm */
//fread(&video->ELVL, sizeof(mlv_elvl_hdr_t), 1, video->file[i]);
}
else if ( memcmp(block_header.blockType, "DEBG", 4) == 0 )
{
/* do nothing atm */
//fread(&video->DEBG, sizeof(mlv_debg_hdr_t), 1, video->file[i]);
}
else if ( memcmp(block_header.blockType, "VERS", 4) == 0 )
{
/* Find all VERS blocks and make index for them */
fread_err &= fread(&video->VERS, sizeof(mlv_vers_hdr_t), 1, video->file[i]);
/* Dynamically resize the index buffer */
if(!vers_index_max)
{
vers_index_max = 128;
video->vers_index = calloc(vers_index_max, sizeof(mlv_frame_index_t));
}
else if(vers_blocks >= vers_index_max - 1)
{
uint64_t vers_index_new_size = vers_index_max * 2;
mlv_frame_index_t * vers_index_new = calloc(vers_index_new_size, sizeof(mlv_frame_index_t));
memcpy(vers_index_new, video->vers_index, vers_index_max * sizeof(mlv_frame_index_t));
free(video->vers_index);
video->vers_index = vers_index_new;
vers_index_max = vers_index_new_size;
}
/* Fill frame index */
video->vers_index[vers_blocks].frame_type = 3;
video->vers_index[vers_blocks].chunk_num = i;
video->vers_index[vers_blocks].frame_size = video->VERS.blockSize - sizeof(mlv_vers_hdr_t);
video->vers_index[vers_blocks].frame_offset = ftell(video->file[i]);
video->vers_index[vers_blocks].frame_number = vers_blocks;
video->vers_index[vers_blocks].frame_time = video->VERS.timestamp;
video->vers_index[vers_blocks].block_offset = block_start;
/* Count actual VERS blocks */
vers_blocks++;
}
else if ( memcmp(block_header.blockType, "DARK", 4) == 0 )
{
fread_err &= fread(&video->DARK, sizeof(mlv_dark_hdr_t), 1, video->file[i]);
video->dark_frame_offset = ftell(video->file[i]);
}
else
{ // block name is wrong, so try to brute force the position of next valid block
if(!seek_to_next_known_block(video->file[i]))
{ // unknown block type
--video->filenum;
return MLV_ERR_CORRUPTED;
}
continue;
}
/* Move to next block */
fseek(video->file[i], next_block, SEEK_SET);
block_num++;
}
}
if(!fread_err)
{
--video->filenum;
return MLV_ERR_IO;
}
if(!video_frames)
{
--video->filenum;
return MLV_ERR_INVALID;
}
/* Set total block amount in mlv */
video->block_num = block_num;
/* Sort video and audio frames by time stamp */
if(video_frames) frame_index_sort(video->video_index, video_frames);
if(audio_frames) frame_index_sort(video->audio_index, audio_frames);
/* Set frame count in video object */
video->frames = video_frames;
/* Set audio count in video object */
video->audios = audio_frames;
/* Set VERS block count in video object */
video->vers_blocks = vers_blocks;
/* Reads MLV audio into buffer (video->audio_data) and sync it,
* set full audio buffer size (video->audio_buffer_size) and
* aligned usable audio data size (video->audio_size) */
mlv_read_audio(video);
preview_out:
/* NON compressed frame size */
video->frame_size = video->RAWI.xRes * video->RAWI.yRes * video->RAWI.raw_info.bits_per_pixel / 8;
video->frame_rate = (double)(video->MLVI.sourceFpsNom / (double)video->MLVI.sourceFpsDenom);
return MLV_ERR_NONE;
}
|
omp_parallel_sections_firstprivate.c | // RUN: %libomp-compile-and-run
#include <stdio.h>
#include "omp_testsuite.h"
int test_omp_parallel_sections_firstprivate()
{
int sum;
int sum0;
int known_sum;
sum =7;
sum0=11;
#pragma omp parallel sections firstprivate(sum0)
{
#pragma omp section
{
#pragma omp critical
{
sum= sum+sum0;
}
}
#pragma omp section
{
#pragma omp critical
{
sum= sum+sum0;
}
}
#pragma omp section
{
#pragma omp critical
{
sum= sum+sum0;
}
}
}
known_sum=11*3+7;
return (known_sum==sum);
} /* end of check_section_firstprivate*/
int main()
{
int i;
int num_failed=0;
for(i = 0; i < REPETITIONS; i++) {
if(!test_omp_parallel_sections_firstprivate()) {
num_failed++;
}
}
return num_failed;
}
|
serial_parallel_tree.c | #include <stdio.h>
#include <errno.h> // for errno
#include <math.h>
#include <limits.h> // for INT_MAX
#include <stdlib.h> // for strtol
#include <time.h>
#include <omp.h>
size_t threads_number = 4;
typedef struct Node
{
struct Node* parent;
size_t value;
struct Node** children;
size_t n_children;
} Node;
typedef Node* (*NodeFunc)(Node*, void*);
Node* compareValue(Node* node, void* args){
size_t value = *(size_t *)args;
if(node->value == value){
return node;
}
return NULL;
}
Node* printNode(Node* node, void* args){
if(node == NULL){
return NULL;
}
if(node->parent != NULL){
printf("\nparent: %ld\n", node->parent->value);
} else {
printf("\nparent: None\n");
}
printf("value: %ld\n", node->value);
printf("children: ");
if(node->n_children == 0) {
printf("None");
}else {
for (size_t i = 0; i < node->n_children; ++i) {
printf("%ld ", node->children[i]->value);
}
}
printf("\n");
return NULL;
}
void print_sequence(size_t *sequence, int n){
printf("%ld", sequence[0]);
for (int i = 1; i < n; ++i) {
printf(", %ld", sequence[i]);
}
printf("\n");
}
size_t ran(size_t l, size_t r) {
return (size_t) (l + (rand() % (r - l + 1)));
}
// https://www.geeksforgeeks.org/random-tree-generator-using-prufer-sequence-with-examples/?ref=rp
size_t* createPruferSequence(unsigned int seed, size_t true_size) {
if (true_size < 2) {
return NULL;
}
srand(seed);
size_t size = true_size - 2;
size_t* sequence = malloc(size*sizeof(size_t));
for (size_t i = 0; i < size; ++i) {
sequence[i] = ran(1, size);
}
return sequence;
}
// https://stackoverflow.com/questions/14878228/creating-a-random-tree
// https://en.wikipedia.org/wiki/Pr%C3%BCfer_sequence
Node* convertPruferToTree(size_t* sequence, size_t size) {
size_t true_size = size + 2;
Node** tree = malloc(true_size*sizeof(Node*));
#pragma omp parallel num_threads(threads_number) default(none) shared(tree, true_size)
{
#pragma omp for schedule(guided)
for (size_t i = 0; i < true_size; ++i) {
tree[i] = malloc(sizeof(Node));
tree[i]->n_children = 1;
tree[i]->parent = NULL;
tree[i]->children = NULL;
tree[i]->value = i+1;
}
}
size_t* degrees = malloc(true_size*sizeof(size_t));
#pragma omp parallel num_threads(threads_number) default(none) shared(degrees, tree, true_size)
{
#pragma omp for schedule(guided)
for (size_t i = 0; i < true_size; ++i) {
degrees[i] = 1;
}
}
#pragma omp parallel num_threads(threads_number) default(none) shared(degrees, sequence, tree, size)
{
#pragma omp for schedule(guided)
for (size_t i = 0; i < size; ++i) {
#pragma omp atomic
++(degrees[sequence[i]-1]);
#pragma omp atomic
++(tree[sequence[i]-1]->n_children);
}
}
#pragma omp parallel num_threads(threads_number) default(none) shared(tree, true_size)
{
#pragma omp for schedule(guided)
for (size_t i = 0; i < true_size; ++i) {
tree[i]->children = malloc(tree[i]->n_children*sizeof(Node*));
for (size_t j = 0; j < tree[i]->n_children; ++j) {
tree[i]->children[j] = NULL;
}
}
}
size_t* child_counter = calloc(true_size,sizeof(size_t));
for (size_t i = 0; i < size; ++i) {
for (size_t j = 0; j < true_size; ++j) {
if(degrees[j] == 1) {
tree[sequence[i]-1]->children[child_counter[sequence[i]-1]] = tree[j];
tree[j]->parent = tree[sequence[i]-1];
++child_counter[sequence[i]-1];
--degrees[sequence[i]-1];
--degrees[j];
break;
}
}
}
size_t first = -1;
size_t second = -1;
#pragma omp parallel num_threads(threads_number) default(none) shared(degrees, true_size, first, second)
{
#pragma omp for schedule(guided)
for (size_t i = 0; i < true_size; ++i) {
if(degrees[i] == 1) {
#pragma omp critical (first_second)
{
if(first == -1){
first = i;
} else {
second = i;
}
}
}
}
}
tree[first]->children[child_counter[first]] = tree[second];
++child_counter[first];
tree[second]->parent = tree[first];
--degrees[first];
--degrees[second];
Node* root = NULL;
#pragma omp parallel num_threads(threads_number) default(none) shared(root, tree, child_counter, true_size)
{
#pragma omp for schedule(guided)
for (size_t i = 0; i < true_size; ++i){
if(child_counter[i] == 0){
free(tree[i]->children);
tree[i]->n_children = 0;
}else {
tree[i]->n_children = child_counter[i];
}
if(tree[i]->parent == NULL){
root = tree[i];
}
}
}
free(degrees);
free(child_counter);
free(tree);
return root;
}
void destroyTree(Node* tree) {
if( tree->n_children == 0){
free(tree);
return;
}
for (size_t i = 0; i < tree->n_children; ++i){
destroyTree(tree->children[i]);
}
free(tree->children);
free(tree);
}
// https://en.wikipedia.org/wiki/Tree_traversal
// https://en.wikipedia.org/wiki/Depth-first_search
// https://en.wikipedia.org/wiki/Search_tree
// https://github.com/JohnVithor/EDB1-2/blob/master/Arvores/include/BinaryTree/BinaryTree.inl
void depthFirstTraversal(Node* tree, NodeFunc func, void* args, Node** result) {
if (tree == NULL) {
return;
}
*result = (*func)(tree, args);
if (*result == NULL){
if( tree->n_children == 0){
return;
}
#pragma omp parallel num_threads(threads_number) default(none) \
shared(tree, func, args, result)
{
#pragma omp single
{
for (size_t i = 0; i < tree->n_children; ++i){
#pragma omp task
{
if(*result == NULL){
depthFirstTraversal(tree->children[i], func, args, result);
}
}
}
}
}
}
}
long convert_str_long(char *str){
char *p;
errno = 0;
long conv = strtol(str, &p, 10);
if (errno != 0 || *p != '\0')
{
printf("%s não é um número!\n", str);
exit(-1);
}
return (long)conv;
}
int main(int argc, char **argv){
if (argc != 5) {
printf("É necessário informar os seguintes argumentos:\n");
return -1;
}
NodeFunc func = &compareValue;
unsigned int seed = convert_str_long(argv[1]);
size_t tree_size = convert_str_long(argv[2]);
size_t tree_number = convert_str_long(argv[3]);
size_t target = convert_str_long(argv[4]);
Node** trees = malloc(tree_number*sizeof(Node*));
double t;
for (size_t i = 0; i < tree_number; ++i) {
t = omp_get_wtime();
size_t* sequence = createPruferSequence(seed, tree_size);
t = omp_get_wtime() - t;
printf("create prufer: %.10lf\n", t);
//print_sequence(sequence, tree_size - 2);
t = omp_get_wtime();
trees[i] = convertPruferToTree(sequence, tree_size-2);
t = omp_get_wtime() - t;
printf("create tree from prufer: %.10lf\n", t);
free(sequence);
seed = seed + rand();
}
size_t args[1] = { target };
Node** result = malloc(sizeof(Node*));
*result = NULL;
t = omp_get_wtime();
depthFirstTraversal(trees[0], func, (void*) args, result);
t = omp_get_wtime() - t;
printf("find value in tree: %.10lf\n", t);
printNode(*result, NULL);
for (size_t i = 0; i < tree_number; ++i) {
destroyTree(trees[i]);
}
free(trees);
free(result);
return 0;
} /* main */ |
residualbased_incrementalupdate_static_scheme.h | // | / |
// ' / __| _` | __| _ \ __|
// . \ | ( | | ( |\__ `
// _|\_\_| \__,_|\__|\___/ ____/
// Multi-Physics
//
// License: BSD License
// Kratos default license: kratos/license.txt
//
// Main authors: Riccardo Rossi
//
#if !defined(KRATOS_RESIDUALBASED_INCREMENTALUPDATE_STATIC_SCHEME_H )
#define KRATOS_RESIDUALBASED_INCREMENTALUPDATE_STATIC_SCHEME_H
/* System includes */
/* External includes */
/* Project includes */
#include "solving_strategies/schemes/scheme.h"
#include "includes/variables.h"
namespace Kratos
{
///@name Kratos Globals
///@{
///@}
///@name Type Definitions
///@{
///@}
///@name Enum's
///@{
///@}
///@name Functions
///@{
///@}
///@name Kratos Classes
///@{
/**
* @class ResidualBasedIncrementalUpdateStaticScheme
* @ingroup KratosCore
* @brief This class provides the implementation of a static scheme
* @details The only operation done in this scheme is the update of the database, no predict is done
* @tparam TSparseSpace The sparse space considered
* @tparam TDenseSpace The dense space considered
* @see Scheme
* @author Riccardo Rossi
*/
template<class TSparseSpace,
class TDenseSpace //= DenseSpace<double>
>
class ResidualBasedIncrementalUpdateStaticScheme
: public Scheme<TSparseSpace,TDenseSpace>
{
public:
///@name Type Definitions
///@{
/// Pointer definition of ResidualBasedIncrementalUpdateStaticScheme
KRATOS_CLASS_POINTER_DEFINITION( ResidualBasedIncrementalUpdateStaticScheme);
/// Base class definition
typedef Scheme<TSparseSpace,TDenseSpace> BaseType;
// The current class definition
typedef ResidualBasedIncrementalUpdateStaticScheme<TSparseSpace, TDenseSpace> ClassType;
/// DoF array type definition
typedef typename BaseType::DofsArrayType DofsArrayType;
/// Data type definition
typedef typename BaseType::TDataType TDataType;
/// Matrix type definition
typedef typename BaseType::TSystemMatrixType TSystemMatrixType;
/// Vector type definition
typedef typename BaseType::TSystemVectorType TSystemVectorType;
/// Local system matrix type definition
typedef typename BaseType::LocalSystemVectorType LocalSystemVectorType;
/// Local system vector type definition
typedef typename BaseType::LocalSystemMatrixType LocalSystemMatrixType;
/// Elements containers definition
typedef ModelPart::ElementsContainerType ElementsArrayType;
/// Conditions containers definition
typedef ModelPart::ConditionsContainerType ConditionsArrayType;
/// The definition of the vector containing the equation ids
typedef Element::EquationIdVectorType EquationIdVectorType;
///@}
///@name Life Cycle
///@{
/**
* @brief Constructor. The pseudo static scheme (parameters)
* @param ThisParameters Dummy parameters
*/
explicit ResidualBasedIncrementalUpdateStaticScheme(Parameters ThisParameters)
: BaseType()
{
// Validate and assign defaults
ThisParameters = this->ValidateAndAssignParameters(ThisParameters, this->GetDefaultParameters());
this->AssignSettings(ThisParameters);
}
/** Default onstructor.
*/
explicit ResidualBasedIncrementalUpdateStaticScheme()
: BaseType()
{}
/** Copy Constructor.
*/
explicit ResidualBasedIncrementalUpdateStaticScheme(ResidualBasedIncrementalUpdateStaticScheme& rOther)
:BaseType(rOther)
{
}
/** Destructor.
*/
~ResidualBasedIncrementalUpdateStaticScheme() override {}
///@}
///@name Operators
///@{
///@}
///@name Operations
///@{
/**
* @brief Create method
* @param ThisParameters The configuration parameters
*/
typename BaseType::Pointer Create(Parameters ThisParameters) const override
{
return Kratos::make_shared<ClassType>(ThisParameters);
}
/**
* @brief Performing the update of the solution.
* @param rModelPart The model part of the problem to solve
* @param rDofSet Set of all primary variables
* @param rA LHS matrix
* @param rDx Incremental update of primary variables
* @param rb RHS Vector
*/
void Update(
ModelPart& rModelPart,
DofsArrayType& rDofSet,
TSystemMatrixType& rA,
TSystemVectorType& rDx,
TSystemVectorType& rb
) override
{
KRATOS_TRY
mpDofUpdater->UpdateDofs(rDofSet, rDx);
KRATOS_CATCH("")
}
/**
* @brief Performing the prediction of the solution.
* @param rModelPart The model part of the problem to solve
* @param rA LHS matrix
* @param rDx Incremental update of primary variables
* @param rb RHS Vector
*/
void Predict(
ModelPart& rModelPart,
DofsArrayType& rDofSet,
TSystemMatrixType& rA,
TSystemVectorType& rDx,
TSystemVectorType& rb
) override
{
KRATOS_TRY
KRATOS_CATCH("")
}
/**
* @brief It initializes a non-linear iteration (for the element)
* @param rModelPart The model of the problem to solve
* @param rA LHS matrix
* @param rDx Incremental update of primary variables
* @param rb RHS Vector
*/
void InitializeNonLinIteration(
ModelPart& rModelPart,
TSystemMatrixType& rA,
TSystemVectorType& rDx,
TSystemVectorType& rb
) override
{
KRATOS_TRY;
const ProcessInfo& r_current_process_info = rModelPart.GetProcessInfo();
// Definition of the first element iterator
const auto it_elem_begin = rModelPart.ElementsBegin();
#pragma omp parallel for
for(int i=0; i<static_cast<int>(rModelPart.Elements().size()); ++i) {
auto it_elem = it_elem_begin + i;
it_elem->InitializeNonLinearIteration(r_current_process_info);
}
// Definition of the first condition iterator
const auto it_cond_begin = rModelPart.ConditionsBegin();
#pragma omp parallel for
for(int i=0; i<static_cast<int>(rModelPart.Conditions().size()); ++i) {
auto it_cond = it_cond_begin + i;
it_cond->InitializeNonLinearIteration(r_current_process_info);
}
// Definition of the first constraint iterator
const auto it_const_begin = rModelPart.MasterSlaveConstraintsBegin();
#pragma omp parallel for
for(int i=0; i<static_cast<int>(rModelPart.MasterSlaveConstraints().size()); ++i) {
auto it_const = it_const_begin + i;
it_const->InitializeNonLinearIteration(r_current_process_info);
}
KRATOS_CATCH( "" );
}
/**
* @brief It initializes a non-linear iteration (for an individual condition)
* @param rCurrentConditiont The condition to compute
* @param rCurrentProcessInfo The current process info instance
*/
void InitializeNonLinearIteration(
Condition::Pointer rCurrentCondition,
ProcessInfo& rCurrentProcessInfo
) override
{
(rCurrentCondition)->InitializeNonLinearIteration(rCurrentProcessInfo);
}
/**
* @brief It initializes a non-linear iteration (for an individual element)
* @param pCurrentElement The element to compute
* @param rCurrentProcessInfo The current process info instance
*/
void InitializeNonLinearIteration(
Element::Pointer pCurrentElement,
ProcessInfo& rCurrentProcessInfo
) override
{
(pCurrentElement)->InitializeNonLinearIteration(rCurrentProcessInfo);
}
/**
* @brief This function is designed to be called in the builder and solver to introduce the selected time integration scheme.
* @details It "asks" the matrix needed to the element and performs the operations needed to introduce the selected time integration scheme. This function calculates at the same time the contribution to the LHS and to the RHS of the system
* @param rCurrentElement The element to compute
* @param rLHSContribution The LHS matrix contribution
* @param rRHSContribution The RHS vector contribution
* @param EquationId The ID's of the element degrees of freedom
* @param rCurrentProcessInfo The current process info instance
*/
void CalculateSystemContributions(
Element& rCurrentElement,
LocalSystemMatrixType& rLHSContribution,
LocalSystemVectorType& rRHSContribution,
EquationIdVectorType& rEquationId,
const ProcessInfo& rCurrentProcessInfo
) override
{
KRATOS_TRY
rCurrentElement.CalculateLocalSystem(rLHSContribution,rRHSContribution, rCurrentProcessInfo);
rCurrentElement.EquationIdVector(rEquationId, rCurrentProcessInfo);
KRATOS_CATCH("")
}
/**
* @brief Functions totally analogous to the precedent but applied to the "condition" objects
* @param pCurrentCondition The condition to compute
* @param rLHSContribution The LHS matrix contribution
* @param rRHSContribution The RHS vector contribution
* @param EquationId The ID's of the condition degrees of freedom
* @param rCurrentProcessInfo The current process info instance
*/
void CalculateSystemContributions(
Condition& rCurrentCondition,
LocalSystemMatrixType& rLHSContribution,
LocalSystemVectorType& rRHSContribution,
EquationIdVectorType& rEquationId,
const ProcessInfo& rCurrentProcessInfo
) override
{
KRATOS_TRY
rCurrentCondition.CalculateLocalSystem(rLHSContribution, rRHSContribution, rCurrentProcessInfo);
rCurrentCondition.EquationIdVector(rEquationId, rCurrentProcessInfo);
KRATOS_CATCH("")
}
/**
* @brief This function is designed to calculate just the RHS contribution
* @param rCurrentElement The element to compute
* @param rRHSContribution The RHS vector contribution
* @param EquationId The ID's of the element degrees of freedom
* @param rCurrentProcessInfo The current process info instance
*/
void CalculateRHSContribution(
Element& rCurrentElement,
LocalSystemVectorType& rRHSContribution,
EquationIdVectorType& rEquationId,
const ProcessInfo& rCurrentProcessInfo
) override
{
KRATOS_TRY
rCurrentElement.CalculateRightHandSide(rRHSContribution, rCurrentProcessInfo);
rCurrentElement.EquationIdVector(rEquationId, rCurrentProcessInfo);
KRATOS_CATCH("")
}
/**
* @brief Functions totally analogous to the precedent but applied to the "condition" objects
* @param pCurrentCondition The condition to compute
* @param rRHSContribution The RHS vector contribution
* @param EquationId The ID's of the condition degrees of freedom
* @param rCurrentProcessInfo The current process info instance
*/
void CalculateRHSContribution(
Condition& rCurrentCondition,
LocalSystemVectorType& rRHSContribution,
EquationIdVectorType& rEquationId,
const ProcessInfo& rCurrentProcessInfo
) override
{
KRATOS_TRY
rCurrentCondition.CalculateRightHandSide(rRHSContribution, rCurrentProcessInfo);
rCurrentCondition.EquationIdVector(rEquationId, rCurrentProcessInfo);
KRATOS_CATCH("")
}
/**
* @brief This function is designed to calculate just the LHS contribution
* @param rCurrentElement The element to compute
* @param rLHSContribution The RHS vector contribution
* @param EquationId The ID's of the element degrees of freedom
* @param rCurrentProcessInfo The current process info instance
*/
void CalculateLHSContribution(
Element& rCurrentElement,
LocalSystemMatrixType& rLHSContribution,
EquationIdVectorType& rEquationId,
const ProcessInfo& rCurrentProcessInfo
) override
{
KRATOS_TRY
rCurrentElement.CalculateLeftHandSide(rLHSContribution, rCurrentProcessInfo);
rCurrentElement.EquationIdVector(rEquationId, rCurrentProcessInfo);
KRATOS_CATCH("")
}
/**
* @brief Liberate internal storage.
*/
void Clear() override
{
this->mpDofUpdater->Clear();
}
/**
* @brief This method provides the defaults parameters to avoid conflicts between the different constructors
* @return The default parameters
*/
Parameters GetDefaultParameters() const override
{
Parameters default_parameters = Parameters(R"(
{
"name" : "static_scheme"
})");
// Getting base class default parameters
const Parameters base_default_parameters = BaseType::GetDefaultParameters();
default_parameters.RecursivelyAddMissingParameters(base_default_parameters);
return default_parameters;
}
/**
* @brief Returns the name of the class as used in the settings (snake_case format)
* @return The name of the class
*/
static std::string Name()
{
return "static_scheme";
}
///@}
///@name Access
///@{
///@}
///@name Inquiry
///@{
///@}
///@name Input and output
///@{
/// Turn back information as a string.
std::string Info() const override
{
return "ResidualBasedIncrementalUpdateStaticScheme";
}
/// Print information about this object.
void PrintInfo(std::ostream& rOStream) const override
{
rOStream << Info();
}
/// Print object's data.
void PrintData(std::ostream& rOStream) const override
{
rOStream << Info();
}
///@}
///@name Friends
///@{
///@}
protected:
///@name Protected static Member Variables
///@{
///@}
///@name Protected member Variables
///@{
///@}
///@name Protected Operators
///@{
///@}
///@name Protected Operations
///@{
///@}
///@name Protected Access
///@{
///@}
///@name Protected Inquiry
///@{
///@}
///@name Protected LifeCycle
///@{
///@}
private:
///@name Static Member Variables
///@{
///@}
///@name Member Variables
///@{
typename TSparseSpace::DofUpdaterPointerType mpDofUpdater = TSparseSpace::CreateDofUpdater(); /// The DoF updater, which will update the values
///@}
///@name Private Operators
///@{
///@}
///@name Private Operations
///@{
///@}
///@name Private Access
///@{
///@}
///@name Private Inquiry
///@{
///@}
///@name Un accessible methods
///@{
///@}
}; // Class ResidualBasedIncrementalUpdateStaticScheme
} // namespace Kratos
#endif /* KRATOS_RESIDUALBASED_INCREMENTALUPDATE_STATIC_SCHEME_H defined */
|
BenchUtils.h | /*
* Copyright (c) Facebook, Inc. and its affiliates.
* All rights reserved.
* This source code is licensed under the BSD-style license found in the
* LICENSE file in the root directory of this source tree.
*/
#pragma once
#include <chrono>
#include <functional>
#include <vector>
#include <immintrin.h>
#ifdef _OPENMP
#include <omp.h>
#endif
#include "./AlignedVec.h"
#include "fbgemm/FbgemmBuild.h"
namespace fbgemm {
template <typename T>
void randFill(aligned_vector<T>& vec, T low, T high);
void llc_flush(std::vector<char>& llc);
// Same as omp_get_max_threads() when OpenMP is available, otherwise 1
int fbgemm_get_max_threads();
// Same as omp_get_num_threads() when OpenMP is available, otherwise 1
int fbgemm_get_num_threads();
// Same as omp_get_thread_num() when OpenMP is available, otherwise 0
int fbgemm_get_thread_num();
template <typename T>
NOINLINE
float cache_evict(const T& vec) {
auto const size = vec.size();
auto const elemSize = sizeof(typename T::value_type);
auto const dataSize = size * elemSize;
const char* data = reinterpret_cast<const char*>(vec.data());
constexpr int CACHE_LINE_SIZE = 64;
// Not having this dummy computation significantly slows down the computation
// that follows.
float dummy = 0.0f;
for (std::size_t i = 0; i < dataSize; i += CACHE_LINE_SIZE) {
dummy += data[i] * 1.0f;
_mm_mfence();
#ifndef _MSC_VER
asm volatile("" ::: "memory");
#endif
_mm_clflush(&data[i]);
}
return dummy;
}
/**
* Parse application command line arguments
*
*/
int parseArgumentInt(
int argc,
const char* argv[],
const char* arg,
int non_exist_val,
int def_val);
bool parseArgumentBool(
int argc,
const char* argv[],
const char* arg,
bool def_val);
namespace {
struct empty_flush {
void operator()() const {}
};
} // namespace
/**
* @param Fn functor to execute
* @param Fe data eviction functor
*/
template <class Fn, class Fe = std::function<void()>>
double measureWithWarmup(
Fn&& fn,
int warmupIterations,
int measuredIterations,
const Fe& fe = empty_flush(),
bool useOpenMP = false) {
for (int i = 0; i < warmupIterations; ++i) {
// Evict data first
fe();
fn();
}
double ttot = 0.0;
#ifdef _OPENMP
#pragma omp parallel if (useOpenMP)
#endif
for (int i = 0; i < measuredIterations; ++i) {
int thread_id = 0;
std::chrono::time_point<std::chrono::high_resolution_clock> start, end;
#ifdef _OPENMP
if (useOpenMP) {
thread_id = omp_get_thread_num();
}
#endif
if (thread_id == 0) {
fe();
}
#ifdef _OPENMP
if (useOpenMP) {
#pragma omp barrier
}
#endif
start = std::chrono::high_resolution_clock::now();
fn();
end = std::chrono::high_resolution_clock::now();
auto dur =
std::chrono::duration_cast<std::chrono::nanoseconds>(end - start);
if (thread_id == 0) {
// TODO: measure load imbalance
ttot += dur.count();
}
}
return ttot / 1e9 / measuredIterations;
}
/*
* @brief Out-of-place transposition for M*N matrix ref.
* @param M number of rows in input
* @param K number of columns in input
*/
template <typename T>
void transpose_matrix(
int M,
int N,
const T* src,
int ld_src,
T* dst,
int ld_dst) {
for (int i = 0; i < N; ++i) {
for (int j = 0; j < M; ++j) {
dst[i * ld_dst + j] = src[i + j * ld_src];
}
} // for each output row
}
/*
* @brief In-place transposition for nxk matrix ref.
* @param n number of rows in input (number of columns in output)
* @param k number of columns in input (number of rows in output)
*/
template <typename T>
void transpose_matrix(T* ref, int n, int k) {
std::vector<T> local(n * k);
transpose_matrix(n, k, ref, k, local.data(), n);
memcpy(ref, local.data(), n * k * sizeof(T));
}
} // namespace fbgemm
|
fourier.c | /*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% FFFFF OOO U U RRRR IIIII EEEEE RRRR %
% F O O U U R R I E R R %
% FFF O O U U RRRR I EEE RRRR %
% F O O U U R R I E R R %
% F OOO UUU R R IIIII EEEEE R R %
% %
% %
% MagickCore Discrete Fourier Transform Methods %
% %
% Software Design %
% Sean Burke %
% Fred Weinhaus %
% Cristy %
% July 2009 %
% %
% %
% Copyright 1999-2021 ImageMagick Studio LLC, a non-profit organization %
% dedicated to making software imaging solutions freely available. %
% %
% You may not use this file except in compliance with the License. You may %
% obtain a copy of the License at %
% %
% https://imagemagick.org/script/license.php %
% %
% Unless required by applicable law or agreed to in writing, software %
% distributed under the License is distributed on an "AS IS" BASIS, %
% WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. %
% See the License for the specific language governing permissions and %
% limitations under the License. %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
%
%
*/
/*
Include declarations.
*/
#include "MagickCore/studio.h"
#include "MagickCore/artifact.h"
#include "MagickCore/attribute.h"
#include "MagickCore/blob.h"
#include "MagickCore/cache.h"
#include "MagickCore/image.h"
#include "MagickCore/image-private.h"
#include "MagickCore/list.h"
#include "MagickCore/fourier.h"
#include "MagickCore/log.h"
#include "MagickCore/memory_.h"
#include "MagickCore/monitor.h"
#include "MagickCore/monitor-private.h"
#include "MagickCore/pixel-accessor.h"
#include "MagickCore/property.h"
#include "MagickCore/quantum-private.h"
#include "MagickCore/resource_.h"
#include "MagickCore/string-private.h"
#include "MagickCore/thread-private.h"
#if defined(MAGICKCORE_FFTW_DELEGATE)
#if defined(MAGICKCORE_HAVE_COMPLEX_H)
#include <complex.h>
#endif
#include <fftw3.h>
#if !defined(MAGICKCORE_HAVE_CABS)
#define cabs(z) (sqrt(z[0]*z[0]+z[1]*z[1]))
#endif
#if !defined(MAGICKCORE_HAVE_CARG)
#define carg(z) (atan2(cimag(z),creal(z)))
#endif
#if !defined(MAGICKCORE_HAVE_CIMAG)
#define cimag(z) (z[1])
#endif
#if !defined(MAGICKCORE_HAVE_CREAL)
#define creal(z) (z[0])
#endif
#endif
/*
Typedef declarations.
*/
typedef struct _FourierInfo
{
PixelChannel
channel;
MagickBooleanType
modulus;
size_t
width,
height;
ssize_t
center;
} FourierInfo;
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% C o m p l e x I m a g e s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ComplexImages() performs complex mathematics on an image sequence.
%
% The format of the ComplexImages method is:
%
% MagickBooleanType ComplexImages(Image *images,const ComplexOperator op,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o op: A complex operator.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *ComplexImages(const Image *images,const ComplexOperator op,
ExceptionInfo *exception)
{
#define ComplexImageTag "Complex/Image"
CacheView
*Ai_view,
*Ar_view,
*Bi_view,
*Br_view,
*Ci_view,
*Cr_view;
const char
*artifact;
const Image
*Ai_image,
*Ar_image,
*Bi_image,
*Br_image;
double
snr;
Image
*Ci_image,
*complex_images,
*Cr_image,
*image;
MagickBooleanType
status;
MagickOffsetType
progress;
size_t
columns,
number_channels,
rows;
ssize_t
y;
assert(images != (Image *) NULL);
assert(images->signature == MagickCoreSignature);
if (images->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",images->filename);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickCoreSignature);
if (images->next == (Image *) NULL)
{
(void) ThrowMagickException(exception,GetMagickModule(),ImageError,
"ImageSequenceRequired","`%s'",images->filename);
return((Image *) NULL);
}
image=CloneImage(images,0,0,MagickTrue,exception);
if (image == (Image *) NULL)
return((Image *) NULL);
if (SetImageStorageClass(image,DirectClass,exception) == MagickFalse)
{
image=DestroyImageList(image);
return(image);
}
image->depth=32UL;
complex_images=NewImageList();
AppendImageToList(&complex_images,image);
image=CloneImage(images->next,0,0,MagickTrue,exception);
if (image == (Image *) NULL)
{
complex_images=DestroyImageList(complex_images);
return(complex_images);
}
image->depth=32UL;
AppendImageToList(&complex_images,image);
if (SetImageStorageClass(image,DirectClass,exception) == MagickFalse)
{
complex_images=DestroyImageList(complex_images);
return(complex_images);
}
/*
Apply complex mathematics to image pixels.
*/
artifact=GetImageArtifact(images,"complex:snr");
snr=0.0;
if (artifact != (const char *) NULL)
snr=StringToDouble(artifact,(char **) NULL);
Ar_image=images;
Ai_image=images->next;
Br_image=images;
Bi_image=images->next;
if ((images->next->next != (Image *) NULL) &&
(images->next->next->next != (Image *) NULL))
{
Br_image=images->next->next;
Bi_image=images->next->next->next;
}
Cr_image=complex_images;
Ci_image=complex_images->next;
number_channels=MagickMin(MagickMin(MagickMin(
Ar_image->number_channels,Ai_image->number_channels),MagickMin(
Br_image->number_channels,Bi_image->number_channels)),MagickMin(
Cr_image->number_channels,Ci_image->number_channels));
Ar_view=AcquireVirtualCacheView(Ar_image,exception);
Ai_view=AcquireVirtualCacheView(Ai_image,exception);
Br_view=AcquireVirtualCacheView(Br_image,exception);
Bi_view=AcquireVirtualCacheView(Bi_image,exception);
Cr_view=AcquireAuthenticCacheView(Cr_image,exception);
Ci_view=AcquireAuthenticCacheView(Ci_image,exception);
status=MagickTrue;
progress=0;
columns=MagickMin(Cr_image->columns,Ci_image->columns);
rows=MagickMin(Cr_image->rows,Ci_image->rows);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(progress,status) \
magick_number_threads(Cr_image,complex_images,rows,1L)
#endif
for (y=0; y < (ssize_t) rows; y++)
{
const Quantum
*magick_restrict Ai,
*magick_restrict Ar,
*magick_restrict Bi,
*magick_restrict Br;
Quantum
*magick_restrict Ci,
*magick_restrict Cr;
ssize_t
x;
if (status == MagickFalse)
continue;
Ar=GetCacheViewVirtualPixels(Ar_view,0,y,columns,1,exception);
Ai=GetCacheViewVirtualPixels(Ai_view,0,y,columns,1,exception);
Br=GetCacheViewVirtualPixels(Br_view,0,y,columns,1,exception);
Bi=GetCacheViewVirtualPixels(Bi_view,0,y,columns,1,exception);
Cr=QueueCacheViewAuthenticPixels(Cr_view,0,y,columns,1,exception);
Ci=QueueCacheViewAuthenticPixels(Ci_view,0,y,columns,1,exception);
if ((Ar == (const Quantum *) NULL) || (Ai == (const Quantum *) NULL) ||
(Br == (const Quantum *) NULL) || (Bi == (const Quantum *) NULL) ||
(Cr == (Quantum *) NULL) || (Ci == (Quantum *) NULL))
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) columns; x++)
{
ssize_t
i;
for (i=0; i < (ssize_t) number_channels; i++)
{
switch (op)
{
case AddComplexOperator:
{
Cr[i]=Ar[i]+Br[i];
Ci[i]=Ai[i]+Bi[i];
break;
}
case ConjugateComplexOperator:
default:
{
Cr[i]=Ar[i];
Ci[i]=(-Ai[i]);
break;
}
case DivideComplexOperator:
{
double
gamma;
gamma=QuantumRange*PerceptibleReciprocal(QuantumScale*Br[i]*Br[i]+
QuantumScale*Bi[i]*Bi[i]+snr);
Cr[i]=gamma*(QuantumScale*Ar[i]*Br[i]+QuantumScale*Ai[i]*Bi[i]);
Ci[i]=gamma*(QuantumScale*Ai[i]*Br[i]-QuantumScale*Ar[i]*Bi[i]);
break;
}
case MagnitudePhaseComplexOperator:
{
Cr[i]=sqrt(QuantumScale*Ar[i]*Ar[i]+QuantumScale*Ai[i]*Ai[i]);
Ci[i]=atan2((double) Ai[i],(double) Ar[i])/(2.0*MagickPI)+0.5;
break;
}
case MultiplyComplexOperator:
{
Cr[i]=(QuantumScale*Ar[i]*Br[i]-QuantumScale*Ai[i]*Bi[i]);
Ci[i]=(QuantumScale*Ai[i]*Br[i]+QuantumScale*Ar[i]*Bi[i]);
break;
}
case RealImaginaryComplexOperator:
{
Cr[i]=Ar[i]*cos(2.0*MagickPI*(Ai[i]-0.5));
Ci[i]=Ar[i]*sin(2.0*MagickPI*(Ai[i]-0.5));
break;
}
case SubtractComplexOperator:
{
Cr[i]=Ar[i]-Br[i];
Ci[i]=Ai[i]-Bi[i];
break;
}
}
}
Ar+=GetPixelChannels(Ar_image);
Ai+=GetPixelChannels(Ai_image);
Br+=GetPixelChannels(Br_image);
Bi+=GetPixelChannels(Bi_image);
Cr+=GetPixelChannels(Cr_image);
Ci+=GetPixelChannels(Ci_image);
}
if (SyncCacheViewAuthenticPixels(Ci_view,exception) == MagickFalse)
status=MagickFalse;
if (SyncCacheViewAuthenticPixels(Cr_view,exception) == MagickFalse)
status=MagickFalse;
if (images->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp atomic
#endif
progress++;
proceed=SetImageProgress(images,ComplexImageTag,progress,images->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
Cr_view=DestroyCacheView(Cr_view);
Ci_view=DestroyCacheView(Ci_view);
Br_view=DestroyCacheView(Br_view);
Bi_view=DestroyCacheView(Bi_view);
Ar_view=DestroyCacheView(Ar_view);
Ai_view=DestroyCacheView(Ai_view);
if (status == MagickFalse)
complex_images=DestroyImageList(complex_images);
return(complex_images);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% F o r w a r d F o u r i e r T r a n s f o r m I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ForwardFourierTransformImage() implements the discrete Fourier transform
% (DFT) of the image either as a magnitude / phase or real / imaginary image
% pair.
%
% The format of the ForwadFourierTransformImage method is:
%
% Image *ForwardFourierTransformImage(const Image *image,
% const MagickBooleanType modulus,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o modulus: if true, return as transform as a magnitude / phase pair
% otherwise a real / imaginary image pair.
%
% o exception: return any errors or warnings in this structure.
%
*/
#if defined(MAGICKCORE_FFTW_DELEGATE)
static MagickBooleanType RollFourier(const size_t width,const size_t height,
const ssize_t x_offset,const ssize_t y_offset,double *roll_pixels)
{
double
*source_pixels;
MemoryInfo
*source_info;
ssize_t
i,
x;
ssize_t
u,
v,
y;
/*
Move zero frequency (DC, average color) from (0,0) to (width/2,height/2).
*/
source_info=AcquireVirtualMemory(width,height*sizeof(*source_pixels));
if (source_info == (MemoryInfo *) NULL)
return(MagickFalse);
source_pixels=(double *) GetVirtualMemoryBlob(source_info);
i=0L;
for (y=0L; y < (ssize_t) height; y++)
{
if (y_offset < 0L)
v=((y+y_offset) < 0L) ? y+y_offset+(ssize_t) height : y+y_offset;
else
v=((y+y_offset) > ((ssize_t) height-1L)) ? y+y_offset-(ssize_t) height :
y+y_offset;
for (x=0L; x < (ssize_t) width; x++)
{
if (x_offset < 0L)
u=((x+x_offset) < 0L) ? x+x_offset+(ssize_t) width : x+x_offset;
else
u=((x+x_offset) > ((ssize_t) width-1L)) ? x+x_offset-(ssize_t) width :
x+x_offset;
source_pixels[v*width+u]=roll_pixels[i++];
}
}
(void) memcpy(roll_pixels,source_pixels,height*width*sizeof(*source_pixels));
source_info=RelinquishVirtualMemory(source_info);
return(MagickTrue);
}
static MagickBooleanType ForwardQuadrantSwap(const size_t width,
const size_t height,double *source_pixels,double *forward_pixels)
{
MagickBooleanType
status;
ssize_t
x;
ssize_t
center,
y;
/*
Swap quadrants.
*/
center=(ssize_t) (width/2L)+1L;
status=RollFourier((size_t) center,height,0L,(ssize_t) height/2L,
source_pixels);
if (status == MagickFalse)
return(MagickFalse);
for (y=0L; y < (ssize_t) height; y++)
for (x=0L; x < (ssize_t) (width/2L); x++)
forward_pixels[y*width+x+width/2L]=source_pixels[y*center+x];
for (y=1; y < (ssize_t) height; y++)
for (x=0L; x < (ssize_t) (width/2L); x++)
forward_pixels[(height-y)*width+width/2L-x-1L]=
source_pixels[y*center+x+1L];
for (x=0L; x < (ssize_t) (width/2L); x++)
forward_pixels[width/2L-x-1L]=source_pixels[x+1L];
return(MagickTrue);
}
static void CorrectPhaseLHS(const size_t width,const size_t height,
double *fourier_pixels)
{
ssize_t
x;
ssize_t
y;
for (y=0L; y < (ssize_t) height; y++)
for (x=0L; x < (ssize_t) (width/2L); x++)
fourier_pixels[y*width+x]*=(-1.0);
}
static MagickBooleanType ForwardFourier(const FourierInfo *fourier_info,
Image *image,double *magnitude,double *phase,ExceptionInfo *exception)
{
CacheView
*magnitude_view,
*phase_view;
double
*magnitude_pixels,
*phase_pixels;
Image
*magnitude_image,
*phase_image;
MagickBooleanType
status;
MemoryInfo
*magnitude_info,
*phase_info;
Quantum
*q;
ssize_t
x;
ssize_t
i,
y;
magnitude_image=GetFirstImageInList(image);
phase_image=GetNextImageInList(image);
if (phase_image == (Image *) NULL)
{
(void) ThrowMagickException(exception,GetMagickModule(),ImageError,
"ImageSequenceRequired","`%s'",image->filename);
return(MagickFalse);
}
/*
Create "Fourier Transform" image from constituent arrays.
*/
magnitude_info=AcquireVirtualMemory((size_t) fourier_info->width,
fourier_info->height*sizeof(*magnitude_pixels));
phase_info=AcquireVirtualMemory((size_t) fourier_info->width,
fourier_info->height*sizeof(*phase_pixels));
if ((magnitude_info == (MemoryInfo *) NULL) ||
(phase_info == (MemoryInfo *) NULL))
{
if (phase_info != (MemoryInfo *) NULL)
phase_info=RelinquishVirtualMemory(phase_info);
if (magnitude_info != (MemoryInfo *) NULL)
magnitude_info=RelinquishVirtualMemory(magnitude_info);
(void) ThrowMagickException(exception,GetMagickModule(),
ResourceLimitError,"MemoryAllocationFailed","`%s'",image->filename);
return(MagickFalse);
}
magnitude_pixels=(double *) GetVirtualMemoryBlob(magnitude_info);
(void) memset(magnitude_pixels,0,fourier_info->width*
fourier_info->height*sizeof(*magnitude_pixels));
phase_pixels=(double *) GetVirtualMemoryBlob(phase_info);
(void) memset(phase_pixels,0,fourier_info->width*
fourier_info->height*sizeof(*phase_pixels));
status=ForwardQuadrantSwap(fourier_info->width,fourier_info->height,
magnitude,magnitude_pixels);
if (status != MagickFalse)
status=ForwardQuadrantSwap(fourier_info->width,fourier_info->height,phase,
phase_pixels);
CorrectPhaseLHS(fourier_info->width,fourier_info->height,phase_pixels);
if (fourier_info->modulus != MagickFalse)
{
i=0L;
for (y=0L; y < (ssize_t) fourier_info->height; y++)
for (x=0L; x < (ssize_t) fourier_info->width; x++)
{
phase_pixels[i]/=(2.0*MagickPI);
phase_pixels[i]+=0.5;
i++;
}
}
magnitude_view=AcquireAuthenticCacheView(magnitude_image,exception);
i=0L;
for (y=0L; y < (ssize_t) fourier_info->height; y++)
{
q=GetCacheViewAuthenticPixels(magnitude_view,0L,y,fourier_info->width,1UL,
exception);
if (q == (Quantum *) NULL)
break;
for (x=0L; x < (ssize_t) fourier_info->width; x++)
{
switch (fourier_info->channel)
{
case RedPixelChannel:
default:
{
SetPixelRed(magnitude_image,ClampToQuantum(QuantumRange*
magnitude_pixels[i]),q);
break;
}
case GreenPixelChannel:
{
SetPixelGreen(magnitude_image,ClampToQuantum(QuantumRange*
magnitude_pixels[i]),q);
break;
}
case BluePixelChannel:
{
SetPixelBlue(magnitude_image,ClampToQuantum(QuantumRange*
magnitude_pixels[i]),q);
break;
}
case BlackPixelChannel:
{
SetPixelBlack(magnitude_image,ClampToQuantum(QuantumRange*
magnitude_pixels[i]),q);
break;
}
case AlphaPixelChannel:
{
SetPixelAlpha(magnitude_image,ClampToQuantum(QuantumRange*
magnitude_pixels[i]),q);
break;
}
}
i++;
q+=GetPixelChannels(magnitude_image);
}
status=SyncCacheViewAuthenticPixels(magnitude_view,exception);
if (status == MagickFalse)
break;
}
magnitude_view=DestroyCacheView(magnitude_view);
i=0L;
phase_view=AcquireAuthenticCacheView(phase_image,exception);
for (y=0L; y < (ssize_t) fourier_info->height; y++)
{
q=GetCacheViewAuthenticPixels(phase_view,0L,y,fourier_info->width,1UL,
exception);
if (q == (Quantum *) NULL)
break;
for (x=0L; x < (ssize_t) fourier_info->width; x++)
{
switch (fourier_info->channel)
{
case RedPixelChannel:
default:
{
SetPixelRed(phase_image,ClampToQuantum(QuantumRange*
phase_pixels[i]),q);
break;
}
case GreenPixelChannel:
{
SetPixelGreen(phase_image,ClampToQuantum(QuantumRange*
phase_pixels[i]),q);
break;
}
case BluePixelChannel:
{
SetPixelBlue(phase_image,ClampToQuantum(QuantumRange*
phase_pixels[i]),q);
break;
}
case BlackPixelChannel:
{
SetPixelBlack(phase_image,ClampToQuantum(QuantumRange*
phase_pixels[i]),q);
break;
}
case AlphaPixelChannel:
{
SetPixelAlpha(phase_image,ClampToQuantum(QuantumRange*
phase_pixels[i]),q);
break;
}
}
i++;
q+=GetPixelChannels(phase_image);
}
status=SyncCacheViewAuthenticPixels(phase_view,exception);
if (status == MagickFalse)
break;
}
phase_view=DestroyCacheView(phase_view);
phase_info=RelinquishVirtualMemory(phase_info);
magnitude_info=RelinquishVirtualMemory(magnitude_info);
return(status);
}
static MagickBooleanType ForwardFourierTransform(FourierInfo *fourier_info,
const Image *image,double *magnitude_pixels,double *phase_pixels,
ExceptionInfo *exception)
{
CacheView
*image_view;
const char
*value;
double
*source_pixels;
fftw_complex
*forward_pixels;
fftw_plan
fftw_r2c_plan;
MemoryInfo
*forward_info,
*source_info;
const Quantum
*p;
ssize_t
i,
x;
ssize_t
y;
/*
Generate the forward Fourier transform.
*/
source_info=AcquireVirtualMemory((size_t) fourier_info->width,
fourier_info->height*sizeof(*source_pixels));
if (source_info == (MemoryInfo *) NULL)
{
(void) ThrowMagickException(exception,GetMagickModule(),
ResourceLimitError,"MemoryAllocationFailed","`%s'",image->filename);
return(MagickFalse);
}
source_pixels=(double *) GetVirtualMemoryBlob(source_info);
memset(source_pixels,0,fourier_info->width*fourier_info->height*
sizeof(*source_pixels));
i=0L;
image_view=AcquireVirtualCacheView(image,exception);
for (y=0L; y < (ssize_t) fourier_info->height; y++)
{
p=GetCacheViewVirtualPixels(image_view,0L,y,fourier_info->width,1UL,
exception);
if (p == (const Quantum *) NULL)
break;
for (x=0L; x < (ssize_t) fourier_info->width; x++)
{
switch (fourier_info->channel)
{
case RedPixelChannel:
default:
{
source_pixels[i]=QuantumScale*GetPixelRed(image,p);
break;
}
case GreenPixelChannel:
{
source_pixels[i]=QuantumScale*GetPixelGreen(image,p);
break;
}
case BluePixelChannel:
{
source_pixels[i]=QuantumScale*GetPixelBlue(image,p);
break;
}
case BlackPixelChannel:
{
source_pixels[i]=QuantumScale*GetPixelBlack(image,p);
break;
}
case AlphaPixelChannel:
{
source_pixels[i]=QuantumScale*GetPixelAlpha(image,p);
break;
}
}
i++;
p+=GetPixelChannels(image);
}
}
image_view=DestroyCacheView(image_view);
forward_info=AcquireVirtualMemory((size_t) fourier_info->width,
(fourier_info->height/2+1)*sizeof(*forward_pixels));
if (forward_info == (MemoryInfo *) NULL)
{
(void) ThrowMagickException(exception,GetMagickModule(),
ResourceLimitError,"MemoryAllocationFailed","`%s'",image->filename);
source_info=(MemoryInfo *) RelinquishVirtualMemory(source_info);
return(MagickFalse);
}
forward_pixels=(fftw_complex *) GetVirtualMemoryBlob(forward_info);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp critical (MagickCore_ForwardFourierTransform)
#endif
fftw_r2c_plan=fftw_plan_dft_r2c_2d(fourier_info->width,fourier_info->height,
source_pixels,forward_pixels,FFTW_ESTIMATE);
fftw_execute_dft_r2c(fftw_r2c_plan,source_pixels,forward_pixels);
fftw_destroy_plan(fftw_r2c_plan);
source_info=(MemoryInfo *) RelinquishVirtualMemory(source_info);
value=GetImageArtifact(image,"fourier:normalize");
if ((value == (const char *) NULL) || (LocaleCompare(value,"forward") == 0))
{
double
gamma;
/*
Normalize forward transform.
*/
i=0L;
gamma=PerceptibleReciprocal((double) fourier_info->width*
fourier_info->height);
for (y=0L; y < (ssize_t) fourier_info->height; y++)
for (x=0L; x < (ssize_t) fourier_info->center; x++)
{
#if defined(MAGICKCORE_HAVE_COMPLEX_H)
forward_pixels[i]*=gamma;
#else
forward_pixels[i][0]*=gamma;
forward_pixels[i][1]*=gamma;
#endif
i++;
}
}
/*
Generate magnitude and phase (or real and imaginary).
*/
i=0L;
if (fourier_info->modulus != MagickFalse)
for (y=0L; y < (ssize_t) fourier_info->height; y++)
for (x=0L; x < (ssize_t) fourier_info->center; x++)
{
magnitude_pixels[i]=cabs(forward_pixels[i]);
phase_pixels[i]=carg(forward_pixels[i]);
i++;
}
else
for (y=0L; y < (ssize_t) fourier_info->height; y++)
for (x=0L; x < (ssize_t) fourier_info->center; x++)
{
magnitude_pixels[i]=creal(forward_pixels[i]);
phase_pixels[i]=cimag(forward_pixels[i]);
i++;
}
forward_info=(MemoryInfo *) RelinquishVirtualMemory(forward_info);
return(MagickTrue);
}
static MagickBooleanType ForwardFourierTransformChannel(const Image *image,
const PixelChannel channel,const MagickBooleanType modulus,
Image *fourier_image,ExceptionInfo *exception)
{
double
*magnitude_pixels,
*phase_pixels;
FourierInfo
fourier_info;
MagickBooleanType
status;
MemoryInfo
*magnitude_info,
*phase_info;
fourier_info.width=image->columns;
fourier_info.height=image->rows;
if ((image->columns != image->rows) || ((image->columns % 2) != 0) ||
((image->rows % 2) != 0))
{
size_t extent=image->columns < image->rows ? image->rows : image->columns;
fourier_info.width=(extent & 0x01) == 1 ? extent+1UL : extent;
}
fourier_info.height=fourier_info.width;
fourier_info.center=(ssize_t) (fourier_info.width/2L)+1L;
fourier_info.channel=channel;
fourier_info.modulus=modulus;
magnitude_info=AcquireVirtualMemory((size_t) fourier_info.width,
(fourier_info.height/2+1)*sizeof(*magnitude_pixels));
phase_info=AcquireVirtualMemory((size_t) fourier_info.width,
(fourier_info.height/2+1)*sizeof(*phase_pixels));
if ((magnitude_info == (MemoryInfo *) NULL) ||
(phase_info == (MemoryInfo *) NULL))
{
if (phase_info != (MemoryInfo *) NULL)
phase_info=RelinquishVirtualMemory(phase_info);
if (magnitude_info == (MemoryInfo *) NULL)
magnitude_info=RelinquishVirtualMemory(magnitude_info);
(void) ThrowMagickException(exception,GetMagickModule(),
ResourceLimitError,"MemoryAllocationFailed","`%s'",image->filename);
return(MagickFalse);
}
magnitude_pixels=(double *) GetVirtualMemoryBlob(magnitude_info);
phase_pixels=(double *) GetVirtualMemoryBlob(phase_info);
status=ForwardFourierTransform(&fourier_info,image,magnitude_pixels,
phase_pixels,exception);
if (status != MagickFalse)
status=ForwardFourier(&fourier_info,fourier_image,magnitude_pixels,
phase_pixels,exception);
phase_info=RelinquishVirtualMemory(phase_info);
magnitude_info=RelinquishVirtualMemory(magnitude_info);
return(status);
}
#endif
MagickExport Image *ForwardFourierTransformImage(const Image *image,
const MagickBooleanType modulus,ExceptionInfo *exception)
{
Image
*fourier_image;
fourier_image=NewImageList();
#if !defined(MAGICKCORE_FFTW_DELEGATE)
(void) modulus;
(void) ThrowMagickException(exception,GetMagickModule(),
MissingDelegateWarning,"DelegateLibrarySupportNotBuiltIn","`%s' (FFTW)",
image->filename);
#else
{
Image
*magnitude_image;
size_t
height,
width;
width=image->columns;
height=image->rows;
if ((image->columns != image->rows) || ((image->columns % 2) != 0) ||
((image->rows % 2) != 0))
{
size_t extent=image->columns < image->rows ? image->rows :
image->columns;
width=(extent & 0x01) == 1 ? extent+1UL : extent;
}
height=width;
magnitude_image=CloneImage(image,width,height,MagickTrue,exception);
if (magnitude_image != (Image *) NULL)
{
Image
*phase_image;
magnitude_image->storage_class=DirectClass;
magnitude_image->depth=32UL;
phase_image=CloneImage(image,width,height,MagickTrue,exception);
if (phase_image == (Image *) NULL)
magnitude_image=DestroyImage(magnitude_image);
else
{
MagickBooleanType
is_gray,
status;
phase_image->storage_class=DirectClass;
phase_image->depth=32UL;
AppendImageToList(&fourier_image,magnitude_image);
AppendImageToList(&fourier_image,phase_image);
status=MagickTrue;
is_gray=IsImageGray(image);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel sections
#endif
{
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp section
#endif
{
MagickBooleanType
thread_status;
if (is_gray != MagickFalse)
thread_status=ForwardFourierTransformChannel(image,
GrayPixelChannel,modulus,fourier_image,exception);
else
thread_status=ForwardFourierTransformChannel(image,
RedPixelChannel,modulus,fourier_image,exception);
if (thread_status == MagickFalse)
status=thread_status;
}
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp section
#endif
{
MagickBooleanType
thread_status;
thread_status=MagickTrue;
if (is_gray == MagickFalse)
thread_status=ForwardFourierTransformChannel(image,
GreenPixelChannel,modulus,fourier_image,exception);
if (thread_status == MagickFalse)
status=thread_status;
}
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp section
#endif
{
MagickBooleanType
thread_status;
thread_status=MagickTrue;
if (is_gray == MagickFalse)
thread_status=ForwardFourierTransformChannel(image,
BluePixelChannel,modulus,fourier_image,exception);
if (thread_status == MagickFalse)
status=thread_status;
}
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp section
#endif
{
MagickBooleanType
thread_status;
thread_status=MagickTrue;
if (image->colorspace == CMYKColorspace)
thread_status=ForwardFourierTransformChannel(image,
BlackPixelChannel,modulus,fourier_image,exception);
if (thread_status == MagickFalse)
status=thread_status;
}
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp section
#endif
{
MagickBooleanType
thread_status;
thread_status=MagickTrue;
if (image->alpha_trait != UndefinedPixelTrait)
thread_status=ForwardFourierTransformChannel(image,
AlphaPixelChannel,modulus,fourier_image,exception);
if (thread_status == MagickFalse)
status=thread_status;
}
}
if (status == MagickFalse)
fourier_image=DestroyImageList(fourier_image);
fftw_cleanup();
}
}
}
#endif
return(fourier_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% I n v e r s e F o u r i e r T r a n s f o r m I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% InverseFourierTransformImage() implements the inverse discrete Fourier
% transform (DFT) of the image either as a magnitude / phase or real /
% imaginary image pair.
%
% The format of the InverseFourierTransformImage method is:
%
% Image *InverseFourierTransformImage(const Image *magnitude_image,
% const Image *phase_image,const MagickBooleanType modulus,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o magnitude_image: the magnitude or real image.
%
% o phase_image: the phase or imaginary image.
%
% o modulus: if true, return transform as a magnitude / phase pair
% otherwise a real / imaginary image pair.
%
% o exception: return any errors or warnings in this structure.
%
*/
#if defined(MAGICKCORE_FFTW_DELEGATE)
static MagickBooleanType InverseQuadrantSwap(const size_t width,
const size_t height,const double *source,double *destination)
{
ssize_t
x;
ssize_t
center,
y;
/*
Swap quadrants.
*/
center=(ssize_t) (width/2L)+1L;
for (y=1L; y < (ssize_t) height; y++)
for (x=0L; x < (ssize_t) (width/2L+1L); x++)
destination[(height-y)*center-x+width/2L]=source[y*width+x];
for (y=0L; y < (ssize_t) height; y++)
destination[y*center]=source[y*width+width/2L];
for (x=0L; x < center; x++)
destination[x]=source[center-x-1L];
return(RollFourier(center,height,0L,(ssize_t) height/-2L,destination));
}
static MagickBooleanType InverseFourier(FourierInfo *fourier_info,
const Image *magnitude_image,const Image *phase_image,
fftw_complex *fourier_pixels,ExceptionInfo *exception)
{
CacheView
*magnitude_view,
*phase_view;
double
*inverse_pixels,
*magnitude_pixels,
*phase_pixels;
MagickBooleanType
status;
MemoryInfo
*inverse_info,
*magnitude_info,
*phase_info;
const Quantum
*p;
ssize_t
i,
x;
ssize_t
y;
/*
Inverse fourier - read image and break down into a double array.
*/
magnitude_info=AcquireVirtualMemory((size_t) fourier_info->width,
fourier_info->height*sizeof(*magnitude_pixels));
phase_info=AcquireVirtualMemory((size_t) fourier_info->width,
fourier_info->height*sizeof(*phase_pixels));
inverse_info=AcquireVirtualMemory((size_t) fourier_info->width,
(fourier_info->height/2+1)*sizeof(*inverse_pixels));
if ((magnitude_info == (MemoryInfo *) NULL) ||
(phase_info == (MemoryInfo *) NULL) ||
(inverse_info == (MemoryInfo *) NULL))
{
if (magnitude_info != (MemoryInfo *) NULL)
magnitude_info=RelinquishVirtualMemory(magnitude_info);
if (phase_info != (MemoryInfo *) NULL)
phase_info=RelinquishVirtualMemory(phase_info);
if (inverse_info != (MemoryInfo *) NULL)
inverse_info=RelinquishVirtualMemory(inverse_info);
(void) ThrowMagickException(exception,GetMagickModule(),
ResourceLimitError,"MemoryAllocationFailed","`%s'",
magnitude_image->filename);
return(MagickFalse);
}
magnitude_pixels=(double *) GetVirtualMemoryBlob(magnitude_info);
phase_pixels=(double *) GetVirtualMemoryBlob(phase_info);
inverse_pixels=(double *) GetVirtualMemoryBlob(inverse_info);
i=0L;
magnitude_view=AcquireVirtualCacheView(magnitude_image,exception);
for (y=0L; y < (ssize_t) fourier_info->height; y++)
{
p=GetCacheViewVirtualPixels(magnitude_view,0L,y,fourier_info->width,1UL,
exception);
if (p == (const Quantum *) NULL)
break;
for (x=0L; x < (ssize_t) fourier_info->width; x++)
{
switch (fourier_info->channel)
{
case RedPixelChannel:
default:
{
magnitude_pixels[i]=QuantumScale*GetPixelRed(magnitude_image,p);
break;
}
case GreenPixelChannel:
{
magnitude_pixels[i]=QuantumScale*GetPixelGreen(magnitude_image,p);
break;
}
case BluePixelChannel:
{
magnitude_pixels[i]=QuantumScale*GetPixelBlue(magnitude_image,p);
break;
}
case BlackPixelChannel:
{
magnitude_pixels[i]=QuantumScale*GetPixelBlack(magnitude_image,p);
break;
}
case AlphaPixelChannel:
{
magnitude_pixels[i]=QuantumScale*GetPixelAlpha(magnitude_image,p);
break;
}
}
i++;
p+=GetPixelChannels(magnitude_image);
}
}
magnitude_view=DestroyCacheView(magnitude_view);
status=InverseQuadrantSwap(fourier_info->width,fourier_info->height,
magnitude_pixels,inverse_pixels);
(void) memcpy(magnitude_pixels,inverse_pixels,fourier_info->height*
fourier_info->center*sizeof(*magnitude_pixels));
i=0L;
phase_view=AcquireVirtualCacheView(phase_image,exception);
for (y=0L; y < (ssize_t) fourier_info->height; y++)
{
p=GetCacheViewVirtualPixels(phase_view,0,y,fourier_info->width,1,
exception);
if (p == (const Quantum *) NULL)
break;
for (x=0L; x < (ssize_t) fourier_info->width; x++)
{
switch (fourier_info->channel)
{
case RedPixelChannel:
default:
{
phase_pixels[i]=QuantumScale*GetPixelRed(phase_image,p);
break;
}
case GreenPixelChannel:
{
phase_pixels[i]=QuantumScale*GetPixelGreen(phase_image,p);
break;
}
case BluePixelChannel:
{
phase_pixels[i]=QuantumScale*GetPixelBlue(phase_image,p);
break;
}
case BlackPixelChannel:
{
phase_pixels[i]=QuantumScale*GetPixelBlack(phase_image,p);
break;
}
case AlphaPixelChannel:
{
phase_pixels[i]=QuantumScale*GetPixelAlpha(phase_image,p);
break;
}
}
i++;
p+=GetPixelChannels(phase_image);
}
}
if (fourier_info->modulus != MagickFalse)
{
i=0L;
for (y=0L; y < (ssize_t) fourier_info->height; y++)
for (x=0L; x < (ssize_t) fourier_info->width; x++)
{
phase_pixels[i]-=0.5;
phase_pixels[i]*=(2.0*MagickPI);
i++;
}
}
phase_view=DestroyCacheView(phase_view);
CorrectPhaseLHS(fourier_info->width,fourier_info->height,phase_pixels);
if (status != MagickFalse)
status=InverseQuadrantSwap(fourier_info->width,fourier_info->height,
phase_pixels,inverse_pixels);
(void) memcpy(phase_pixels,inverse_pixels,fourier_info->height*
fourier_info->center*sizeof(*phase_pixels));
inverse_info=RelinquishVirtualMemory(inverse_info);
/*
Merge two sets.
*/
i=0L;
if (fourier_info->modulus != MagickFalse)
for (y=0L; y < (ssize_t) fourier_info->height; y++)
for (x=0L; x < (ssize_t) fourier_info->center; x++)
{
#if defined(MAGICKCORE_HAVE_COMPLEX_H)
fourier_pixels[i]=magnitude_pixels[i]*cos(phase_pixels[i])+I*
magnitude_pixels[i]*sin(phase_pixels[i]);
#else
fourier_pixels[i][0]=magnitude_pixels[i]*cos(phase_pixels[i]);
fourier_pixels[i][1]=magnitude_pixels[i]*sin(phase_pixels[i]);
#endif
i++;
}
else
for (y=0L; y < (ssize_t) fourier_info->height; y++)
for (x=0L; x < (ssize_t) fourier_info->center; x++)
{
#if defined(MAGICKCORE_HAVE_COMPLEX_H)
fourier_pixels[i]=magnitude_pixels[i]+I*phase_pixels[i];
#else
fourier_pixels[i][0]=magnitude_pixels[i];
fourier_pixels[i][1]=phase_pixels[i];
#endif
i++;
}
magnitude_info=RelinquishVirtualMemory(magnitude_info);
phase_info=RelinquishVirtualMemory(phase_info);
return(status);
}
static MagickBooleanType InverseFourierTransform(FourierInfo *fourier_info,
fftw_complex *fourier_pixels,Image *image,ExceptionInfo *exception)
{
CacheView
*image_view;
const char
*value;
double
*source_pixels;
fftw_plan
fftw_c2r_plan;
MemoryInfo
*source_info;
Quantum
*q;
ssize_t
i,
x;
ssize_t
y;
source_info=AcquireVirtualMemory((size_t) fourier_info->width,
fourier_info->height*sizeof(*source_pixels));
if (source_info == (MemoryInfo *) NULL)
{
(void) ThrowMagickException(exception,GetMagickModule(),
ResourceLimitError,"MemoryAllocationFailed","`%s'",image->filename);
return(MagickFalse);
}
source_pixels=(double *) GetVirtualMemoryBlob(source_info);
value=GetImageArtifact(image,"fourier:normalize");
if (LocaleCompare(value,"inverse") == 0)
{
double
gamma;
/*
Normalize inverse transform.
*/
i=0L;
gamma=PerceptibleReciprocal((double) fourier_info->width*
fourier_info->height);
for (y=0L; y < (ssize_t) fourier_info->height; y++)
for (x=0L; x < (ssize_t) fourier_info->center; x++)
{
#if defined(MAGICKCORE_HAVE_COMPLEX_H)
fourier_pixels[i]*=gamma;
#else
fourier_pixels[i][0]*=gamma;
fourier_pixels[i][1]*=gamma;
#endif
i++;
}
}
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp critical (MagickCore_InverseFourierTransform)
#endif
fftw_c2r_plan=fftw_plan_dft_c2r_2d(fourier_info->width,fourier_info->height,
fourier_pixels,source_pixels,FFTW_ESTIMATE);
fftw_execute_dft_c2r(fftw_c2r_plan,fourier_pixels,source_pixels);
fftw_destroy_plan(fftw_c2r_plan);
i=0L;
image_view=AcquireAuthenticCacheView(image,exception);
for (y=0L; y < (ssize_t) fourier_info->height; y++)
{
if (y >= (ssize_t) image->rows)
break;
q=GetCacheViewAuthenticPixels(image_view,0L,y,fourier_info->width >
image->columns ? image->columns : fourier_info->width,1UL,exception);
if (q == (Quantum *) NULL)
break;
for (x=0L; x < (ssize_t) fourier_info->width; x++)
{
if (x < (ssize_t) image->columns)
switch (fourier_info->channel)
{
case RedPixelChannel:
default:
{
SetPixelRed(image,ClampToQuantum(QuantumRange*source_pixels[i]),q);
break;
}
case GreenPixelChannel:
{
SetPixelGreen(image,ClampToQuantum(QuantumRange*source_pixels[i]),
q);
break;
}
case BluePixelChannel:
{
SetPixelBlue(image,ClampToQuantum(QuantumRange*source_pixels[i]),
q);
break;
}
case BlackPixelChannel:
{
SetPixelBlack(image,ClampToQuantum(QuantumRange*source_pixels[i]),
q);
break;
}
case AlphaPixelChannel:
{
SetPixelAlpha(image,ClampToQuantum(QuantumRange*source_pixels[i]),
q);
break;
}
}
i++;
q+=GetPixelChannels(image);
}
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
break;
}
image_view=DestroyCacheView(image_view);
source_info=RelinquishVirtualMemory(source_info);
return(MagickTrue);
}
static MagickBooleanType InverseFourierTransformChannel(
const Image *magnitude_image,const Image *phase_image,
const PixelChannel channel,const MagickBooleanType modulus,
Image *fourier_image,ExceptionInfo *exception)
{
fftw_complex
*inverse_pixels;
FourierInfo
fourier_info;
MagickBooleanType
status;
MemoryInfo
*inverse_info;
fourier_info.width=magnitude_image->columns;
fourier_info.height=magnitude_image->rows;
if ((magnitude_image->columns != magnitude_image->rows) ||
((magnitude_image->columns % 2) != 0) ||
((magnitude_image->rows % 2) != 0))
{
size_t extent=magnitude_image->columns < magnitude_image->rows ?
magnitude_image->rows : magnitude_image->columns;
fourier_info.width=(extent & 0x01) == 1 ? extent+1UL : extent;
}
fourier_info.height=fourier_info.width;
fourier_info.center=(ssize_t) (fourier_info.width/2L)+1L;
fourier_info.channel=channel;
fourier_info.modulus=modulus;
inverse_info=AcquireVirtualMemory((size_t) fourier_info.width,
(fourier_info.height/2+1)*sizeof(*inverse_pixels));
if (inverse_info == (MemoryInfo *) NULL)
{
(void) ThrowMagickException(exception,GetMagickModule(),
ResourceLimitError,"MemoryAllocationFailed","`%s'",
magnitude_image->filename);
return(MagickFalse);
}
inverse_pixels=(fftw_complex *) GetVirtualMemoryBlob(inverse_info);
status=InverseFourier(&fourier_info,magnitude_image,phase_image,
inverse_pixels,exception);
if (status != MagickFalse)
status=InverseFourierTransform(&fourier_info,inverse_pixels,fourier_image,
exception);
inverse_info=RelinquishVirtualMemory(inverse_info);
return(status);
}
#endif
MagickExport Image *InverseFourierTransformImage(const Image *magnitude_image,
const Image *phase_image,const MagickBooleanType modulus,
ExceptionInfo *exception)
{
Image
*fourier_image;
assert(magnitude_image != (Image *) NULL);
assert(magnitude_image->signature == MagickCoreSignature);
if (magnitude_image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",
magnitude_image->filename);
if (phase_image == (Image *) NULL)
{
(void) ThrowMagickException(exception,GetMagickModule(),ImageError,
"ImageSequenceRequired","`%s'",magnitude_image->filename);
return((Image *) NULL);
}
#if !defined(MAGICKCORE_FFTW_DELEGATE)
fourier_image=(Image *) NULL;
(void) modulus;
(void) ThrowMagickException(exception,GetMagickModule(),
MissingDelegateWarning,"DelegateLibrarySupportNotBuiltIn","`%s' (FFTW)",
magnitude_image->filename);
#else
{
fourier_image=CloneImage(magnitude_image,magnitude_image->columns,
magnitude_image->rows,MagickTrue,exception);
if (fourier_image != (Image *) NULL)
{
MagickBooleanType
is_gray,
status;
status=MagickTrue;
is_gray=IsImageGray(magnitude_image);
if (is_gray != MagickFalse)
is_gray=IsImageGray(phase_image);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel sections
#endif
{
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp section
#endif
{
MagickBooleanType
thread_status;
if (is_gray != MagickFalse)
thread_status=InverseFourierTransformChannel(magnitude_image,
phase_image,GrayPixelChannel,modulus,fourier_image,exception);
else
thread_status=InverseFourierTransformChannel(magnitude_image,
phase_image,RedPixelChannel,modulus,fourier_image,exception);
if (thread_status == MagickFalse)
status=thread_status;
}
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp section
#endif
{
MagickBooleanType
thread_status;
thread_status=MagickTrue;
if (is_gray == MagickFalse)
thread_status=InverseFourierTransformChannel(magnitude_image,
phase_image,GreenPixelChannel,modulus,fourier_image,exception);
if (thread_status == MagickFalse)
status=thread_status;
}
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp section
#endif
{
MagickBooleanType
thread_status;
thread_status=MagickTrue;
if (is_gray == MagickFalse)
thread_status=InverseFourierTransformChannel(magnitude_image,
phase_image,BluePixelChannel,modulus,fourier_image,exception);
if (thread_status == MagickFalse)
status=thread_status;
}
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp section
#endif
{
MagickBooleanType
thread_status;
thread_status=MagickTrue;
if (magnitude_image->colorspace == CMYKColorspace)
thread_status=InverseFourierTransformChannel(magnitude_image,
phase_image,BlackPixelChannel,modulus,fourier_image,exception);
if (thread_status == MagickFalse)
status=thread_status;
}
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp section
#endif
{
MagickBooleanType
thread_status;
thread_status=MagickTrue;
if (magnitude_image->alpha_trait != UndefinedPixelTrait)
thread_status=InverseFourierTransformChannel(magnitude_image,
phase_image,AlphaPixelChannel,modulus,fourier_image,exception);
if (thread_status == MagickFalse)
status=thread_status;
}
}
if (status == MagickFalse)
fourier_image=DestroyImage(fourier_image);
}
fftw_cleanup();
}
#endif
return(fourier_image);
}
|
3-8t.c | #include <stdio.h>
#include <omp.h>
int main()
{
omp_set_num_threads(8);
#pragma omp parallel
{
printf("\n Hello from thread = %d ", omp_get_thread_num() );
}
printf("\n\n GoodBye – Team Destroyed – Exiting Program \n\n");
}
|
taskloop_simd_misc_messages.c | // RUN: %clang_cc1 -fsyntax-only -fopenmp -triple x86_64-unknown-unknown -fopenmp-version=45 -verify=expected,omp45 %s -Wuninitialized
// RUN: %clang_cc1 -fsyntax-only -fopenmp -triple x86_64-unknown-unknown -fopenmp-version=50 -verify=expected,omp50 %s -Wuninitialized
// RUN: %clang_cc1 -fsyntax-only -fopenmp-simd -triple x86_64-unknown-unknown -fopenmp-version=45 -verify=expected,omp45 %s -Wuninitialized
// RUN: %clang_cc1 -fsyntax-only -fopenmp-simd -triple x86_64-unknown-unknown -fopenmp-version=50 -verify=expected,omp50 %s -Wuninitialized
void xxx(int argc) {
int x; // expected-note {{initialize the variable 'x' to silence this warning}}
#pragma omp taskloop simd
for (int i = 0; i < 10; ++i)
argc = x; // expected-warning {{variable 'x' is uninitialized when used here}}
}
// expected-error@+1 {{unexpected OpenMP directive '#pragma omp taskloop simd'}}
#pragma omp taskloop simd
// expected-error@+1 {{unexpected OpenMP directive '#pragma omp taskloop simd'}}
#pragma omp taskloop simd foo
void test_no_clause(void) {
int i;
#pragma omp taskloop simd
for (i = 0; i < 16; ++i)
;
// expected-error@+2 {{statement after '#pragma omp taskloop simd' must be a for loop}}
#pragma omp taskloop simd
++i;
}
void test_branch_protected_scope(void) {
int i = 0;
L1:
++i;
int x[24];
#pragma omp parallel
#pragma omp taskloop simd
for (i = 0; i < 16; ++i) {
if (i == 5)
goto L1; // expected-error {{use of undeclared label 'L1'}}
else if (i == 6)
return; // expected-error {{cannot return from OpenMP region}}
else if (i == 7)
goto L2;
else if (i == 8) {
L2:
x[i]++;
}
}
if (x[0] == 0)
goto L2; // expected-error {{use of undeclared label 'L2'}}
else if (x[1] == 1)
goto L1;
}
void test_invalid_clause(void) {
int i;
#pragma omp parallel
// expected-warning@+1 {{extra tokens at the end of '#pragma omp taskloop simd' are ignored}}
#pragma omp taskloop simd foo bar
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{directive '#pragma omp taskloop simd' cannot contain more than one 'nogroup' clause}}
#pragma omp taskloop simd nogroup nogroup
for (i = 0; i < 16; ++i)
;
}
void test_non_identifiers(void) {
int i, x;
#pragma omp parallel
// expected-warning@+1 {{extra tokens at the end of '#pragma omp taskloop simd' are ignored}}
#pragma omp taskloop simd;
for (i = 0; i < 16; ++i)
;
// expected-warning@+2 {{extra tokens at the end of '#pragma omp taskloop simd' are ignored}}
#pragma omp parallel
#pragma omp taskloop simd linear(x);
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-warning@+1 {{extra tokens at the end of '#pragma omp taskloop simd' are ignored}}
#pragma omp taskloop simd private(x);
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-warning@+1 {{extra tokens at the end of '#pragma omp taskloop simd' are ignored}}
#pragma omp taskloop simd, private(x);
for (i = 0; i < 16; ++i)
;
}
extern int foo(void);
void test_collapse(void) {
int i;
#pragma omp parallel
// expected-error@+1 {{expected '('}}
#pragma omp taskloop simd collapse
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-error@+1 {{expected expression}} expected-error@+1 {{expected ')'}} expected-note@+1 {{to match this '('}}
#pragma omp taskloop simd collapse(
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-error@+1 {{expected expression}}
#pragma omp taskloop simd collapse()
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-error@+1 {{expected expression}} expected-error@+1 {{expected ')'}} expected-note@+1 {{to match this '('}}
#pragma omp taskloop simd collapse(,
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-error@+1 {{expected expression}} expected-error@+1 {{expected ')'}} expected-note@+1 {{to match this '('}}
#pragma omp taskloop simd collapse(, )
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-warning@+2 {{extra tokens at the end of '#pragma omp taskloop simd' are ignored}}
// expected-error@+1 {{expected '('}}
#pragma omp taskloop simd collapse 4)
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-error@+2 {{expected ')'}}
// expected-note@+1 {{to match this '('}} expected-note@+1 {{as specified in 'collapse' clause}}
#pragma omp taskloop simd collapse(4
for (i = 0; i < 16; ++i)
; // expected-error {{expected 4 for loops after '#pragma omp taskloop simd', but found only 1}}
#pragma omp parallel
// expected-error@+2 {{expected ')'}}
// expected-note@+1 {{to match this '('}} expected-note@+1 {{as specified in 'collapse' clause}}
#pragma omp taskloop simd collapse(4,
for (i = 0; i < 16; ++i)
; // expected-error {{expected 4 for loops after '#pragma omp taskloop simd', but found only 1}}
#pragma omp parallel
// expected-error@+2 {{expected ')'}}
// expected-note@+1 {{to match this '('}} expected-note@+1 {{as specified in 'collapse' clause}}
#pragma omp taskloop simd collapse(4, )
for (i = 0; i < 16; ++i)
; // expected-error {{expected 4 for loops after '#pragma omp taskloop simd', but found only 1}}
#pragma omp parallel
// expected-note@+1 {{as specified in 'collapse' clause}}
#pragma omp taskloop simd collapse(4)
for (i = 0; i < 16; ++i)
; // expected-error {{expected 4 for loops after '#pragma omp taskloop simd', but found only 1}}
#pragma omp parallel
// expected-error@+2 {{expected ')'}}
// expected-note@+1 {{to match this '('}} expected-note@+1 {{as specified in 'collapse' clause}}
#pragma omp taskloop simd collapse(4 4)
for (i = 0; i < 16; ++i)
; // expected-error {{expected 4 for loops after '#pragma omp taskloop simd', but found only 1}}
#pragma omp parallel
// expected-error@+2 {{expected ')'}}
// expected-note@+1 {{to match this '('}} expected-note@+1 {{as specified in 'collapse' clause}}
#pragma omp taskloop simd collapse(4, , 4)
for (i = 0; i < 16; ++i)
; // expected-error {{expected 4 for loops after '#pragma omp taskloop simd', but found only 1}}
#pragma omp parallel
#pragma omp taskloop simd collapse(4)
for (int i1 = 0; i1 < 16; ++i1)
for (int i2 = 0; i2 < 16; ++i2)
for (int i3 = 0; i3 < 16; ++i3)
for (int i4 = 0; i4 < 16; ++i4)
foo();
#pragma omp parallel
// expected-error@+2 {{expected ')'}}
// expected-note@+1 {{to match this '('}} expected-note@+1 {{as specified in 'collapse' clause}}
#pragma omp taskloop simd collapse(4, 8)
for (i = 0; i < 16; ++i)
; // expected-error {{expected 4 for loops after '#pragma omp taskloop simd', but found only 1}}
#pragma omp parallel
// expected-error@+1 {{integer constant expression}}
#pragma omp taskloop simd collapse(2.5)
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-error@+1 {{integer constant expression}}
#pragma omp taskloop simd collapse(foo())
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-error@+1 {{argument to 'collapse' clause must be a strictly positive integer value}}
#pragma omp taskloop simd collapse(-5)
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-error@+1 {{argument to 'collapse' clause must be a strictly positive integer value}}
#pragma omp taskloop simd collapse(0)
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-error@+1 {{argument to 'collapse' clause must be a strictly positive integer value}}
#pragma omp taskloop simd collapse(5 - 5)
for (i = 0; i < 16; ++i)
;
}
void test_private(void) {
int i;
#pragma omp parallel
// expected-error@+2 {{expected expression}}
// expected-error@+1 {{expected ')'}} expected-note@+1 {{to match this '('}}
#pragma omp taskloop simd private(
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-error@+2 {{expected ')'}} expected-note@+2 {{to match this '('}}
// expected-error@+1 2 {{expected expression}}
#pragma omp taskloop simd private(,
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-error@+1 2 {{expected expression}}
#pragma omp taskloop simd private(, )
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-error@+1 {{expected expression}}
#pragma omp taskloop simd private()
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-error@+1 {{expected expression}}
#pragma omp taskloop simd private(int)
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-error@+1 {{expected variable name}}
#pragma omp taskloop simd private(0)
for (i = 0; i < 16; ++i)
;
int x, y, z;
#pragma omp parallel
#pragma omp taskloop simd private(x)
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
#pragma omp taskloop simd private(x, y)
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
#pragma omp taskloop simd private(x, y, z)
for (i = 0; i < 16; ++i) {
x = y * i + z;
}
}
void test_lastprivate(void) {
int i;
#pragma omp parallel
// expected-error@+2 {{expected ')'}} expected-note@+2 {{to match this '('}}
// expected-error@+1 {{expected expression}}
#pragma omp taskloop simd lastprivate(
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-error@+2 {{expected ')'}} expected-note@+2 {{to match this '('}}
// expected-error@+1 2 {{expected expression}}
#pragma omp taskloop simd lastprivate(,
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-error@+1 2 {{expected expression}}
#pragma omp taskloop simd lastprivate(, )
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-error@+1 {{expected expression}}
#pragma omp taskloop simd lastprivate()
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-error@+1 {{expected expression}}
#pragma omp taskloop simd lastprivate(int)
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-error@+1 {{expected variable name}}
#pragma omp taskloop simd lastprivate(0)
for (i = 0; i < 16; ++i)
;
int x, y, z;
#pragma omp parallel
#pragma omp taskloop simd lastprivate(x)
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
#pragma omp taskloop simd lastprivate(x, y)
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
#pragma omp taskloop simd lastprivate(x, y, z)
for (i = 0; i < 16; ++i)
;
}
void test_firstprivate(void) {
int i;
#pragma omp parallel
// expected-error@+2 {{expected ')'}} expected-note@+2 {{to match this '('}}
// expected-error@+1 {{expected expression}}
#pragma omp taskloop simd firstprivate(
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-error@+2 {{expected ')'}} expected-note@+2 {{to match this '('}}
// expected-error@+1 2 {{expected expression}}
#pragma omp taskloop simd firstprivate(,
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-error@+1 2 {{expected expression}}
#pragma omp taskloop simd firstprivate(, )
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-error@+1 {{expected expression}}
#pragma omp taskloop simd firstprivate()
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-error@+1 {{expected expression}}
#pragma omp taskloop simd firstprivate(int)
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-error@+1 {{expected variable name}}
#pragma omp taskloop simd firstprivate(0)
for (i = 0; i < 16; ++i)
;
int x, y, z;
#pragma omp parallel
#pragma omp taskloop simd lastprivate(x) firstprivate(x)
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
#pragma omp taskloop simd lastprivate(x, y) firstprivate(x, y)
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
#pragma omp taskloop simd lastprivate(x, y, z) firstprivate(x, y, z)
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{the value of 'simdlen' parameter must be less than or equal to the value of the 'safelen' parameter}}
#pragma omp taskloop simd simdlen(64) safelen(8)
for (i = 0; i < 16; ++i)
;
}
void test_loop_messages(void) {
float a[100], b[100], c[100];
#pragma omp parallel
// expected-error@+2 {{variable must be of integer or pointer type}}
#pragma omp taskloop simd
for (float fi = 0; fi < 10.0; fi++) {
c[(int)fi] = a[(int)fi] + b[(int)fi];
}
#pragma omp parallel
// expected-error@+2 {{variable must be of integer or pointer type}}
#pragma omp taskloop simd
for (double fi = 0; fi < 10.0; fi++) {
c[(int)fi] = a[(int)fi] + b[(int)fi];
}
// expected-warning@+2 {{OpenMP loop iteration variable cannot have more than 64 bits size and will be narrowed}}
#pragma omp taskloop simd
for (__int128 ii = 0; ii < 10; ii++) {
c[ii] = a[ii] + b[ii];
}
}
void test_nontemporal(void) {
int i;
// omp45-error@+1 {{unexpected OpenMP clause 'nontemporal' in directive '#pragma omp taskloop simd'}} expected-error@+1 {{expected expression}} expected-error@+1 {{expected ')'}} expected-note@+1 {{to match this '('}}
#pragma omp taskloop simd nontemporal(
for (i = 0; i < 16; ++i)
;
// omp45-error@+1 {{unexpected OpenMP clause 'nontemporal' in directive '#pragma omp taskloop simd'}} expected-error@+1 2 {{expected expression}} expected-error@+1 {{expected ')'}} expected-note@+1 {{to match this '('}}
#pragma omp taskloop simd nontemporal(,
for (i = 0; i < 16; ++i)
;
// omp45-error@+1 {{unexpected OpenMP clause 'nontemporal' in directive '#pragma omp taskloop simd'}} expected-error@+1 2 {{expected expression}}
#pragma omp taskloop simd nontemporal(, )
for (i = 0; i < 16; ++i)
;
// omp45-error@+1 {{unexpected OpenMP clause 'nontemporal' in directive '#pragma omp taskloop simd'}} expected-error@+1 {{expected expression}}
#pragma omp taskloop simd nontemporal()
for (i = 0; i < 16; ++i)
;
// omp45-error@+1 {{unexpected OpenMP clause 'nontemporal' in directive '#pragma omp taskloop simd'}} expected-error@+1 {{expected expression}}
#pragma omp taskloop simd nontemporal(int)
for (i = 0; i < 16; ++i)
;
// omp45-error@+1 {{unexpected OpenMP clause 'nontemporal' in directive '#pragma omp taskloop simd'}} omp50-error@+1 {{expected variable name}}
#pragma omp taskloop simd nontemporal(0)
for (i = 0; i < 16; ++i)
;
// omp45-error@+1 {{unexpected OpenMP clause 'nontemporal' in directive '#pragma omp taskloop simd'}} expected-error@+1 {{use of undeclared identifier 'x'}}
#pragma omp taskloop simd nontemporal(x)
for (i = 0; i < 16; ++i)
;
// expected-error@+2 {{use of undeclared identifier 'x'}}
// omp45-error@+1 {{unexpected OpenMP clause 'nontemporal' in directive '#pragma omp taskloop simd'}} expected-error@+1 {{use of undeclared identifier 'y'}}
#pragma omp taskloop simd nontemporal(x, y)
for (i = 0; i < 16; ++i)
;
// expected-error@+3 {{use of undeclared identifier 'x'}}
// expected-error@+2 {{use of undeclared identifier 'y'}}
// omp45-error@+1 {{unexpected OpenMP clause 'nontemporal' in directive '#pragma omp taskloop simd'}} expected-error@+1 {{use of undeclared identifier 'z'}}
#pragma omp taskloop simd nontemporal(x, y, z)
for (i = 0; i < 16; ++i)
;
int x, y;
// omp45-error@+1 {{unexpected OpenMP clause 'nontemporal' in directive '#pragma omp taskloop simd'}} expected-error@+1 {{expected ',' or ')' in 'nontemporal' clause}} expected-error@+1 {{expected ')'}} expected-note@+1 {{to match this '('}}
#pragma omp taskloop simd nontemporal(x :)
for (i = 0; i < 16; ++i)
;
// omp45-error@+1 {{unexpected OpenMP clause 'nontemporal' in directive '#pragma omp taskloop simd'}} expected-error@+1 {{expected ')'}} expected-note@+1 {{to match this '('}} expected-error@+1 {{expected ',' or ')' in 'nontemporal' clause}}
#pragma omp taskloop simd nontemporal(x :, )
for (i = 0; i < 16; ++i)
;
// omp50-note@+2 {{defined as nontemporal}}
// omp45-error@+1 2 {{unexpected OpenMP clause 'nontemporal' in directive '#pragma omp taskloop simd'}} omp50-error@+1 {{a variable cannot appear in more than one nontemporal clause}}
#pragma omp taskloop simd nontemporal(x) nontemporal(x)
for (i = 0; i < 16; ++i)
;
// omp45-error@+1 {{unexpected OpenMP clause 'nontemporal' in directive '#pragma omp taskloop simd'}}
#pragma omp taskloop simd private(x) nontemporal(x)
for (i = 0; i < 16; ++i)
;
// omp45-error@+1 {{unexpected OpenMP clause 'nontemporal' in directive '#pragma omp taskloop simd'}}
#pragma omp taskloop simd nontemporal(x) private(x)
for (i = 0; i < 16; ++i)
;
// omp45-error@+1 {{unexpected OpenMP clause 'nontemporal' in directive '#pragma omp taskloop simd'}} expected-note@+1 {{to match this '('}} expected-error@+1 {{expected ',' or ')' in 'nontemporal' clause}} expected-error@+1 {{expected ')'}}
#pragma omp taskloop simd nontemporal(x, y : 0)
for (i = 0; i < 16; ++i)
;
// omp45-error@+1 {{unexpected OpenMP clause 'nontemporal' in directive '#pragma omp taskloop simd'}}
#pragma omp taskloop simd nontemporal(x) lastprivate(x)
for (i = 0; i < 16; ++i)
;
// omp45-error@+1 {{unexpected OpenMP clause 'nontemporal' in directive '#pragma omp taskloop simd'}}
#pragma omp taskloop simd lastprivate(x) nontemporal(x)
for (i = 0; i < 16; ++i)
;
#pragma omp taskloop simd order // omp45-error {{unexpected OpenMP clause 'order' in directive '#pragma omp taskloop simd'}} expected-error {{expected '(' after 'order'}}
for (int i = 0; i < 10; ++i)
;
#pragma omp taskloop simd order( // omp45-error {{unexpected OpenMP clause 'order' in directive '#pragma omp taskloop simd'}} expected-error {{expected ')'}} expected-note {{to match this '('}} omp50-error {{expected 'concurrent' in OpenMP clause 'order'}}
for (int i = 0; i < 10; ++i)
;
#pragma omp taskloop simd order(none // omp45-error {{unexpected OpenMP clause 'order' in directive '#pragma omp taskloop simd'}} expected-error {{expected ')'}} expected-note {{to match this '('}} omp50-error {{expected 'concurrent' in OpenMP clause 'order'}}
for (int i = 0; i < 10; ++i)
;
#pragma omp taskloop simd order(concurrent // omp45-error {{unexpected OpenMP clause 'order' in directive '#pragma omp taskloop simd'}} expected-error {{expected ')'}} expected-note {{to match this '('}}
for (int i = 0; i < 10; ++i)
;
#pragma omp taskloop simd order(concurrent) // omp45-error {{unexpected OpenMP clause 'order' in directive '#pragma omp taskloop simd'}}
for (int i = 0; i < 10; ++i)
;
}
|
data.c | #include "data.h"
#include "utils.h"
#include "image.h"
#include "opencl.h"
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
pthread_mutex_t mutex = PTHREAD_MUTEX_INITIALIZER;
#define class temp
#define new new_temp
list *get_paths(char *filename)
{
//if (filename) filename[strcspn(filename, "\n\r")] = 0;
char *pos;
if ((pos=strchr(filename, '\r')) != NULL) *pos = '\0';
if ((pos=strchr(filename, '\n')) != NULL) *pos = '\0';
char *path;
FILE *file = fopen(filename, "r");
if(!file) file_error(filename);
list *lines = make_list();
while((path=fgetl(file))){
list_insert(lines, path);
}
fclose(file);
return lines;
}
/*
char **get_random_paths_indexes(char **paths, int n, int m, int *indexes)
{
char **random_paths = calloc(n, sizeof(char*));
int i;
pthread_mutex_lock(&mutex);
for(i = 0; i < n; ++i){
int index = rand()%m;
indexes[i] = index;
random_paths[i] = paths[index];
//if(i == 0) printf("%s\n", paths[index]);
}
pthread_mutex_unlock(&mutex);
return random_paths;
}
*/
char **get_random_paths(char **paths, int n, int m)
{
char **random_paths = (char**)calloc(n, sizeof(char*));
int i;
pthread_mutex_lock(&mutex);
for(i = 0; i < n; ++i){
int index = rand()%m;
random_paths[i] = paths[index];
//if(i == 0) printf("%s\n", paths[index]);
}
pthread_mutex_unlock(&mutex);
return random_paths;
}
char **find_replace_paths(char **paths, int n, char *find, char *replace)
{
char **replace_paths = (char**)calloc(n, sizeof(char*));
int i;
for(i = 0; i < n; ++i){
char replaced[4096];
find_replace(paths[i], find, replace, replaced);
replace_paths[i] = copy_string(replaced);
}
return replace_paths;
}
matrix load_image_paths_gray(char **paths, int n, int w, int h)
{
int i;
matrix X;
X.rows = n;
X.vals = (float**)calloc(X.rows, sizeof(float*));
X.cols = 0;
for(i = 0; i < n; ++i){
image im = load_image(paths[i], w, h, 3);
image gray = grayscale_image(im);
free_image(im);
im = gray;
X.vals[i] = im.data;
X.cols = im.h*im.w*im.c;
}
return X;
}
matrix load_image_paths(char **paths, int n, int w, int h)
{
int i;
matrix X;
X.rows = n;
X.vals = (float**)calloc(X.rows, sizeof(float*));
X.cols = 0;
for(i = 0; i < n; ++i){
image im = load_image_color(paths[i], w, h);
X.vals[i] = im.data;
X.cols = im.h*im.w*im.c;
}
return X;
}
matrix load_image_augment_paths(char **paths, int n, int min, int max, int size, float angle, float aspect, float hue, float saturation, float exposure, int center)
{
int i;
matrix X;
X.rows = n;
X.vals = (float**)calloc(X.rows, sizeof(float*));
X.cols = 0;
for(i = 0; i < n; ++i){
image im = load_image_color(paths[i], 0, 0);
image crop;
if(center){
crop = center_crop_image(im, size, size);
} else {
crop = random_augment_image(im, angle, aspect, min, max, size, size);
}
int flip = rand()%2;
if (flip) flip_image(crop);
random_distort_image(crop, hue, saturation, exposure);
/*
show_image(im, "orig");
show_image(crop, "crop");
cvWaitKey(0);
*/
//grayscale_image_3c(crop);
free_image(im);
X.vals[i] = crop.data;
X.cols = crop.h*crop.w*crop.c;
}
return X;
}
box_label *read_boxes(char *filename, int *n)
{
//if (filename) filename[strcspn(filename, "\n\r")] = 0;
char *pos;
if ((pos=strchr(filename, '\r')) != NULL) *pos = '\0';
if ((pos=strchr(filename, '\n')) != NULL) *pos = '\0';
FILE *file = fopen(filename, "r");
if(!file) file_error(filename);
float x, y, h, w;
int id;
int count = 0;
int size = 64;
box_label *boxes = (box_label*)calloc(size, sizeof(box_label));
while(fscanf(file, "%d %f %f %f %f", &id, &x, &y, &w, &h) == 5){
if(count == size) {
size = size * 2;
boxes = (box_label*)realloc(boxes, size*sizeof(box_label));
}
boxes[count].id = id;
boxes[count].x = x;
boxes[count].y = y;
boxes[count].h = h;
boxes[count].w = w;
boxes[count].left = x - w/2;
boxes[count].right = x + w/2;
boxes[count].top = y - h/2;
boxes[count].bottom = y + h/2;
++count;
}
fclose(file);
*n = count;
return boxes;
}
void randomize_boxes(box_label *b, int n)
{
int i;
for(i = 0; i < n; ++i){
box_label swap = b[i];
int index = rand()%n;
b[i] = b[index];
b[index] = swap;
}
}
void correct_boxes(box_label *boxes, int n, float dx, float dy, float sx, float sy, int flip)
{
int i;
for(i = 0; i < n; ++i){
if(boxes[i].x == 0 && boxes[i].y == 0) {
boxes[i].x = 999999;
boxes[i].y = 999999;
boxes[i].w = 999999;
boxes[i].h = 999999;
continue;
}
boxes[i].left = boxes[i].left * sx - dx;
boxes[i].right = boxes[i].right * sx - dx;
boxes[i].top = boxes[i].top * sy - dy;
boxes[i].bottom = boxes[i].bottom* sy - dy;
if(flip){
float swap = boxes[i].left;
boxes[i].left = 1. - boxes[i].right;
boxes[i].right = 1. - swap;
}
boxes[i].left = constrain(0, 1, boxes[i].left);
boxes[i].right = constrain(0, 1, boxes[i].right);
boxes[i].top = constrain(0, 1, boxes[i].top);
boxes[i].bottom = constrain(0, 1, boxes[i].bottom);
boxes[i].x = (boxes[i].left+boxes[i].right)/2;
boxes[i].y = (boxes[i].top+boxes[i].bottom)/2;
boxes[i].w = (boxes[i].right - boxes[i].left);
boxes[i].h = (boxes[i].bottom - boxes[i].top);
boxes[i].w = constrain(0, 1, boxes[i].w);
boxes[i].h = constrain(0, 1, boxes[i].h);
}
}
void fill_truth_swag(char *path, float *truth, int classes, int flip, float dx, float dy, float sx, float sy)
{
char labelpath[4096];
find_replace(path, "images", "labels", labelpath);
find_replace(labelpath, "JPEGImages", "labels", labelpath);
find_replace(labelpath, ".jpg", ".txt", labelpath);
find_replace(labelpath, ".JPG", ".txt", labelpath);
find_replace(labelpath, ".JPEG", ".txt", labelpath);
int count = 0;
box_label *boxes = read_boxes(labelpath, &count);
randomize_boxes(boxes, count);
correct_boxes(boxes, count, dx, dy, sx, sy, flip);
float x,y,w,h;
int id;
int i;
for (i = 0; i < count && i < 90; ++i) {
x = boxes[i].x;
y = boxes[i].y;
w = boxes[i].w;
h = boxes[i].h;
id = boxes[i].id;
if (w < .0 || h < .0) continue;
int index = (4+classes) * i;
truth[index++] = x;
truth[index++] = y;
truth[index++] = w;
truth[index++] = h;
if (id < classes) truth[index+id] = 1;
}
free(boxes);
}
void fill_truth_region(char *path, float *truth, int classes, int num_boxes, int flip, float dx, float dy, float sx, float sy)
{
char labelpath[4096];
find_replace(path, "images", "labels", labelpath);
find_replace(labelpath, "JPEGImages", "labels", labelpath);
find_replace(labelpath, ".jpg", ".txt", labelpath);
find_replace(labelpath, ".png", ".txt", labelpath);
find_replace(labelpath, ".JPG", ".txt", labelpath);
find_replace(labelpath, ".JPEG", ".txt", labelpath);
int count = 0;
box_label *boxes = read_boxes(labelpath, &count);
randomize_boxes(boxes, count);
correct_boxes(boxes, count, dx, dy, sx, sy, flip);
float x,y,w,h;
int id;
int i;
for (i = 0; i < count; ++i) {
x = boxes[i].x;
y = boxes[i].y;
w = boxes[i].w;
h = boxes[i].h;
id = boxes[i].id;
if (w < .005 || h < .005) continue;
int col = (int)(x*num_boxes);
int row = (int)(y*num_boxes);
x = x*num_boxes - col;
y = y*num_boxes - row;
int index = (col+row*num_boxes)*(5+classes);
if (truth[index]) continue;
truth[index++] = 1;
if (id < classes) truth[index+id] = 1;
index += classes;
truth[index++] = x;
truth[index++] = y;
truth[index++] = w;
truth[index++] = h;
}
free(boxes);
}
void load_rle(image im, int *rle, int n)
{
int count = 0;
int curr = 0;
int i,j;
for(i = 0; i < n; ++i){
for(j = 0; j < rle[i]; ++j){
im.data[count++] = curr;
}
curr = 1 - curr;
}
for(; count < im.h*im.w*im.c; ++count){
im.data[count] = curr;
}
}
void or_image(image src, image dest, int c)
{
int i;
for(i = 0; i < src.w*src.h; ++i){
if(src.data[i]) dest.data[dest.w*dest.h*c + i] = 1;
}
}
void exclusive_image(image src)
{
int k, j, i;
int s = src.w*src.h;
for(k = 0; k < src.c-1; ++k){
for(i = 0; i < s; ++i){
if (src.data[k*s + i]){
for(j = k+1; j < src.c; ++j){
src.data[j*s + i] = 0;
}
}
}
}
}
box bound_image(image im)
{
int x,y;
int minx = im.w;
int miny = im.h;
int maxx = 0;
int maxy = 0;
for(y = 0; y < im.h; ++y){
for(x = 0; x < im.w; ++x){
if(im.data[y*im.w + x]){
minx = (x < minx) ? x : minx;
miny = (y < miny) ? y : miny;
maxx = (x > maxx) ? x : maxx;
maxy = (y > maxy) ? y : maxy;
}
}
}
box b = {minx, miny, maxx-minx + 1, maxy-miny + 1};
//printf("%f %f %f %f\n", b.x, b.y, b.w, b.h);
return b;
}
void fill_truth_iseg(char *path, int num_boxes, float *truth, int classes, int w, int h, augment_args aug, int flip, int mw, int mh)
{
char labelpath[4096];
find_replace(path, "images", "mask", labelpath);
find_replace(labelpath, "JPEGImages", "mask", labelpath);
find_replace(labelpath, ".jpg", ".txt", labelpath);
find_replace(labelpath, ".JPG", ".txt", labelpath);
find_replace(labelpath, ".JPEG", ".txt", labelpath);
FILE *file = fopen(labelpath, "r");
if(!file) file_error(labelpath);
char buff[32788];
int id;
int i = 0;
int j;
image part = make_image(w, h, 1);
while((fscanf(file, "%d %s", &id, buff) == 2) && i < num_boxes){
int n = 0;
int *rle = read_intlist(buff, &n, 0);
load_rle(part, rle, n);
image sized = rotate_crop_image(part, aug.rad, aug.scale, aug.w, aug.h, aug.dx, aug.dy, aug.aspect);
if(flip) flip_image(sized);
image mask = resize_image(sized, mw, mh);
truth[i*(mw*mh+1)] = id;
for(j = 0; j < mw*mh; ++j){
truth[i*(mw*mh + 1) + 1 + j] = mask.data[j];
}
++i;
free_image(mask);
free_image(sized);
free(rle);
}
if(i < num_boxes) truth[i*(mw*mh+1)] = -1;
fclose(file);
free_image(part);
}
void fill_truth_mask(char *path, int num_boxes, float *truth, int classes, int w, int h, augment_args aug, int flip, int mw, int mh)
{
char labelpath[4096];
find_replace(path, "images", "mask", labelpath);
find_replace(labelpath, "JPEGImages", "mask", labelpath);
find_replace(labelpath, ".jpg", ".txt", labelpath);
find_replace(labelpath, ".JPG", ".txt", labelpath);
find_replace(labelpath, ".JPEG", ".txt", labelpath);
FILE *file = fopen(labelpath, "r");
if(!file) file_error(labelpath);
char buff[32788];
int id;
int i = 0;
image part = make_image(w, h, 1);
while((fscanf(file, "%d %s", &id, buff) == 2) && i < num_boxes){
int n = 0;
int *rle = read_intlist(buff, &n, 0);
load_rle(part, rle, n);
image sized = rotate_crop_image(part, aug.rad, aug.scale, aug.w, aug.h, aug.dx, aug.dy, aug.aspect);
if(flip) flip_image(sized);
box b = bound_image(sized);
if(b.w > 0){
image crop = crop_image(sized, b.x, b.y, b.w, b.h);
image mask = resize_image(crop, mw, mh);
truth[i*(4 + mw*mh + 1) + 0] = (b.x + b.w/2.)/sized.w;
truth[i*(4 + mw*mh + 1) + 1] = (b.y + b.h/2.)/sized.h;
truth[i*(4 + mw*mh + 1) + 2] = b.w/sized.w;
truth[i*(4 + mw*mh + 1) + 3] = b.h/sized.h;
int j;
for(j = 0; j < mw*mh; ++j){
truth[i*(4 + mw*mh + 1) + 4 + j] = mask.data[j];
}
truth[i*(4 + mw*mh + 1) + 4 + mw*mh] = id;
free_image(crop);
free_image(mask);
++i;
}
free_image(sized);
free(rle);
}
fclose(file);
free_image(part);
}
void fill_truth_detection(char *path, int num_boxes, float *truth, int classes, int flip, float dx, float dy, float sx, float sy)
{
char labelpath[4096];
find_replace(path, "images", "labels", labelpath);
find_replace(labelpath, "JPEGImages", "labels", labelpath);
find_replace(labelpath, "raw", "labels", labelpath);
find_replace(labelpath, ".jpg", ".txt", labelpath);
find_replace(labelpath, ".png", ".txt", labelpath);
find_replace(labelpath, ".JPG", ".txt", labelpath);
find_replace(labelpath, ".JPEG", ".txt", labelpath);
int count = 0;
box_label *boxes = read_boxes(labelpath, &count);
randomize_boxes(boxes, count);
correct_boxes(boxes, count, dx, dy, sx, sy, flip);
if(count > num_boxes) count = num_boxes;
float x,y,w,h;
int id;
int i;
int sub = 0;
for (i = 0; i < count; ++i) {
x = boxes[i].x;
y = boxes[i].y;
w = boxes[i].w;
h = boxes[i].h;
id = boxes[i].id;
if ((w < .001 || h < .001)) {
++sub;
continue;
}
truth[(i-sub)*5+0] = x;
truth[(i-sub)*5+1] = y;
truth[(i-sub)*5+2] = w;
truth[(i-sub)*5+3] = h;
truth[(i-sub)*5+4] = id;
}
free(boxes);
}
#define NUMCHARS 37
void print_letters(float *pred, int n)
{
int i;
for(i = 0; i < n; ++i){
int index = max_index(pred+i*NUMCHARS, NUMCHARS);
printf("%c", int_to_alphanum(index));
}
printf("\n");
}
void fill_truth_captcha(char *path, int n, float *truth)
{
char *begin = strrchr(path, '/');
++begin;
int i;
for(i = 0; i < strlen(begin) && i < n && begin[i] != '.'; ++i){
int index = alphanum_to_int(begin[i]);
if(index > 35) printf("Bad %c\n", begin[i]);
truth[i*NUMCHARS+index] = 1;
}
for(;i < n; ++i){
truth[i*NUMCHARS + NUMCHARS-1] = 1;
}
}
data load_data_captcha(char **paths, int n, int m, int k, int w, int h)
{
if(m) paths = get_random_paths(paths, n, m);
data d = {0};
d.shallow = 0;
d.X = load_image_paths(paths, n, w, h);
d.y = make_matrix(n, k*NUMCHARS);
int i;
for(i = 0; i < n; ++i){
fill_truth_captcha(paths[i], k, d.y.vals[i]);
}
if(m) free(paths);
return d;
}
data load_data_captcha_encode(char **paths, int n, int m, int w, int h)
{
if(m) paths = get_random_paths(paths, n, m);
data d = {0};
d.shallow = 0;
d.X = load_image_paths(paths, n, w, h);
d.X.cols = 17100;
d.y = d.X;
if(m) free(paths);
return d;
}
void fill_truth(char *path, char **labels, int k, float *truth)
{
int i;
memset(truth, 0, k*sizeof(float));
int count = 0;
for(i = 0; i < k; ++i){
if(strstr(path, labels[i])){
truth[i] = 1;
++count;
//printf("%s %s %d\n", path, labels[i], i);
}
}
if(count != 1 && (k != 1 || count != 0)) printf("Too many or too few labels: %d, %s\n", count, path);
}
void fill_hierarchy(float *truth, int k, tree *hierarchy)
{
int j;
for(j = 0; j < k; ++j){
if(truth[j]){
int parent = hierarchy->parent[j];
while(parent >= 0){
truth[parent] = 1;
parent = hierarchy->parent[parent];
}
}
}
int i;
int count = 0;
for(j = 0; j < hierarchy->groups; ++j){
//printf("%d\n", count);
int mask = 1;
for(i = 0; i < hierarchy->group_size[j]; ++i){
if(truth[count + i]){
mask = 0;
break;
}
}
if (mask) {
for(i = 0; i < hierarchy->group_size[j]; ++i){
truth[count + i] = SECRET_NUM;
}
}
count += hierarchy->group_size[j];
}
}
matrix load_regression_labels_paths(char **paths, int n, int k)
{
matrix y = make_matrix(n, k);
int i,j;
for(i = 0; i < n; ++i){
char labelpath[4096];
find_replace(paths[i], "images", "labels", labelpath);
find_replace(labelpath, "JPEGImages", "labels", labelpath);
find_replace(labelpath, ".BMP", ".txt", labelpath);
find_replace(labelpath, ".JPEG", ".txt", labelpath);
find_replace(labelpath, ".JPG", ".txt", labelpath);
find_replace(labelpath, ".JPeG", ".txt", labelpath);
find_replace(labelpath, ".Jpeg", ".txt", labelpath);
find_replace(labelpath, ".PNG", ".txt", labelpath);
find_replace(labelpath, ".TIF", ".txt", labelpath);
find_replace(labelpath, ".bmp", ".txt", labelpath);
find_replace(labelpath, ".jpeg", ".txt", labelpath);
find_replace(labelpath, ".jpg", ".txt", labelpath);
find_replace(labelpath, ".png", ".txt", labelpath);
find_replace(labelpath, ".tif", ".txt", labelpath);
FILE *file = fopen(labelpath, "r");
for(j = 0; j < k; ++j){
fscanf(file, "%f", &(y.vals[i][j]));
}
fclose(file);
}
return y;
}
matrix load_labels_paths(char **paths, int n, char **labels, int k, tree *hierarchy)
{
matrix y = make_matrix(n, k);
int i;
for(i = 0; i < n && labels; ++i){
fill_truth(paths[i], labels, k, y.vals[i]);
if(hierarchy){
fill_hierarchy(y.vals[i], k, hierarchy);
}
}
return y;
}
matrix load_tags_paths(char **paths, int n, int k)
{
matrix y = make_matrix(n, k);
int i;
//int count = 0;
for(i = 0; i < n; ++i){
char label[4096];
find_replace(paths[i], "images", "labels", label);
find_replace(label, ".jpg", ".txt", label);
FILE *file = fopen(label, "r");
if (!file) continue;
//++count;
int tag;
while(fscanf(file, "%d", &tag) == 1){
if(tag < k){
y.vals[i][tag] = 1;
}
}
fclose(file);
}
//printf("%d/%d\n", count, n);
return y;
}
char **get_labels(char *filename)
{
list *plist = get_paths(filename);
char **labels = (char **)list_to_array(plist);
free_list(plist);
return labels;
}
void free_data(data d)
{
if(!d.shallow){
free_matrix(d.X);
free_matrix(d.y);
}else{
free(d.X.vals);
free(d.y.vals);
}
}
image get_segmentation_image(char *path, int w, int h, int classes)
{
char labelpath[4096];
find_replace(path, "images", "mask", labelpath);
find_replace(labelpath, "JPEGImages", "mask", labelpath);
find_replace(labelpath, ".jpg", ".txt", labelpath);
find_replace(labelpath, ".JPG", ".txt", labelpath);
find_replace(labelpath, ".JPEG", ".txt", labelpath);
image mask = make_image(w, h, classes);
FILE *file = fopen(labelpath, "r");
if(!file) file_error(labelpath);
char buff[32788];
int id;
image part = make_image(w, h, 1);
while(fscanf(file, "%d %s", &id, buff) == 2){
int n = 0;
int *rle = read_intlist(buff, &n, 0);
load_rle(part, rle, n);
or_image(part, mask, id);
free(rle);
}
//exclusive_image(mask);
fclose(file);
free_image(part);
return mask;
}
image get_segmentation_image2(char *path, int w, int h, int classes)
{
char labelpath[4096];
find_replace(path, "images", "mask", labelpath);
find_replace(labelpath, "JPEGImages", "mask", labelpath);
find_replace(labelpath, ".jpg", ".txt", labelpath);
find_replace(labelpath, ".JPG", ".txt", labelpath);
find_replace(labelpath, ".JPEG", ".txt", labelpath);
image mask = make_image(w, h, classes+1);
int i;
for(i = 0; i < w*h; ++i){
mask.data[w*h*classes + i] = 1;
}
FILE *file = fopen(labelpath, "r");
if(!file) file_error(labelpath);
char buff[32788];
int id;
image part = make_image(w, h, 1);
while(fscanf(file, "%d %s", &id, buff) == 2){
int n = 0;
int *rle = read_intlist(buff, &n, 0);
load_rle(part, rle, n);
or_image(part, mask, id);
for(i = 0; i < w*h; ++i){
if(part.data[i]) mask.data[w*h*classes + i] = 0;
}
free(rle);
}
//exclusive_image(mask);
fclose(file);
free_image(part);
return mask;
}
data load_data_seg(int n, char **paths, int m, int w, int h, int classes, int min, int max, float angle, float aspect, float hue, float saturation, float exposure, int div)
{
char **random_paths = get_random_paths(paths, n, m);
int i;
data d = {0};
d.shallow = 0;
d.X.rows = n;
d.X.vals = (float**)calloc(d.X.rows, sizeof(float*));
d.X.cols = h*w*3;
d.y.rows = n;
d.y.cols = h*w*classes/div/div;
d.y.vals = (float**)calloc(d.X.rows, sizeof(float*));
for(i = 0; i < n; ++i){
image orig = load_image_color(random_paths[i], 0, 0);
augment_args a = random_augment_args(orig, angle, aspect, min, max, w, h);
image sized = rotate_crop_image(orig, a.rad, a.scale, a.w, a.h, a.dx, a.dy, a.aspect);
int flip = rand()%2;
if(flip) flip_image(sized);
random_distort_image(sized, hue, saturation, exposure);
d.X.vals[i] = sized.data;
image mask = get_segmentation_image(random_paths[i], orig.w, orig.h, classes);
//image mask = make_image(orig.w, orig.h, classes+1);
image sized_m = rotate_crop_image(mask, a.rad, a.scale/div, a.w/div, a.h/div, a.dx/div, a.dy/div, a.aspect);
if(flip) flip_image(sized_m);
d.y.vals[i] = sized_m.data;
free_image(orig);
free_image(mask);
/*
image rgb = mask_to_rgb(sized_m, classes);
show_image(rgb, "part");
show_image(sized, "orig");
cvWaitKey(0);
free_image(rgb);
*/
}
free(random_paths);
return d;
}
data load_data_iseg(int n, char **paths, int m, int w, int h, int classes, int boxes, int div, int min, int max, float angle, float aspect, float hue, float saturation, float exposure)
{
char **random_paths = get_random_paths(paths, n, m);
int i;
data d = {0};
d.shallow = 0;
d.X.rows = n;
d.X.vals = (float**)calloc(d.X.rows, sizeof(float*));
d.X.cols = h*w*3;
d.y = make_matrix(n, (((w/div)*(h/div))+1)*boxes);
for(i = 0; i < n; ++i){
image orig = load_image_color(random_paths[i], 0, 0);
augment_args a = random_augment_args(orig, angle, aspect, min, max, w, h);
image sized = rotate_crop_image(orig, a.rad, a.scale, a.w, a.h, a.dx, a.dy, a.aspect);
int flip = rand()%2;
if(flip) flip_image(sized);
random_distort_image(sized, hue, saturation, exposure);
d.X.vals[i] = sized.data;
//show_image(sized, "image");
fill_truth_iseg(random_paths[i], boxes, d.y.vals[i], classes, orig.w, orig.h, a, flip, w/div, h/div);
free_image(orig);
/*
image rgb = mask_to_rgb(sized_m, classes);
show_image(rgb, "part");
show_image(sized, "orig");
cvWaitKey(0);
free_image(rgb);
*/
}
free(random_paths);
return d;
}
data load_data_mask(int n, char **paths, int m, int w, int h, int classes, int boxes, int coords, int min, int max, float angle, float aspect, float hue, float saturation, float exposure)
{
char **random_paths = get_random_paths(paths, n, m);
int i;
data d = {0};
d.shallow = 0;
d.X.rows = n;
d.X.vals = (float**)calloc(d.X.rows, sizeof(float*));
d.X.cols = h*w*3;
d.y = make_matrix(n, (coords+1)*boxes);
for(i = 0; i < n; ++i){
image orig = load_image_color(random_paths[i], 0, 0);
augment_args a = random_augment_args(orig, angle, aspect, min, max, w, h);
image sized = rotate_crop_image(orig, a.rad, a.scale, a.w, a.h, a.dx, a.dy, a.aspect);
int flip = rand()%2;
if(flip) flip_image(sized);
random_distort_image(sized, hue, saturation, exposure);
d.X.vals[i] = sized.data;
//show_image(sized, "image");
fill_truth_mask(random_paths[i], boxes, d.y.vals[i], classes, orig.w, orig.h, a, flip, 14, 14);
free_image(orig);
/*
image rgb = mask_to_rgb(sized_m, classes);
show_image(rgb, "part");
show_image(sized, "orig");
cvWaitKey(0);
free_image(rgb);
*/
}
free(random_paths);
return d;
}
data load_data_region(int n, char **paths, int m, int w, int h, int size, int classes, float jitter, float hue, float saturation, float exposure)
{
char **random_paths = get_random_paths(paths, n, m);
int i;
data d = {0};
d.shallow = 0;
d.X.rows = n;
d.X.vals = (float**)calloc(d.X.rows, sizeof(float*));
d.X.cols = h*w*3;
int k = size*size*(5+classes);
d.y = make_matrix(n, k);
for(i = 0; i < n; ++i){
image orig = load_image_color(random_paths[i], 0, 0);
int oh = orig.h;
int ow = orig.w;
int dw = (ow*jitter);
int dh = (oh*jitter);
int pleft = rand_uniform(-dw, dw);
int pright = rand_uniform(-dw, dw);
int ptop = rand_uniform(-dh, dh);
int pbot = rand_uniform(-dh, dh);
int swidth = ow - pleft - pright;
int sheight = oh - ptop - pbot;
float sx = (float)swidth / ow;
float sy = (float)sheight / oh;
int flip = rand()%2;
image cropped = crop_image(orig, pleft, ptop, swidth, sheight);
float dx = ((float)pleft/ow)/sx;
float dy = ((float)ptop /oh)/sy;
image sized = resize_image(cropped, w, h);
if(flip) flip_image(sized);
random_distort_image(sized, hue, saturation, exposure);
d.X.vals[i] = sized.data;
fill_truth_region(random_paths[i], d.y.vals[i], classes, size, flip, dx, dy, 1./sx, 1./sy);
free_image(orig);
free_image(cropped);
}
free(random_paths);
return d;
}
data load_data_compare(int n, char **paths, int m, int classes, int w, int h)
{
if(m) paths = get_random_paths(paths, 2*n, m);
int i,j;
data d = {0};
d.shallow = 0;
d.X.rows = n;
d.X.vals = (float**)calloc(d.X.rows, sizeof(float*));
d.X.cols = h*w*6;
int k = 2*(classes);
d.y = make_matrix(n, k);
for(i = 0; i < n; ++i){
image im1 = load_image_color(paths[i*2], w, h);
image im2 = load_image_color(paths[i*2+1], w, h);
d.X.vals[i] = (float*)calloc(d.X.cols, sizeof(float));
memcpy(d.X.vals[i], im1.data, h*w*3*sizeof(float));
memcpy(d.X.vals[i] + h*w*3, im2.data, h*w*3*sizeof(float));
int id;
float iou;
char imlabel1[4096];
char imlabel2[4096];
find_replace(paths[i*2], "imgs", "labels", imlabel1);
find_replace(imlabel1, "jpg", "txt", imlabel1);
FILE *fp1 = fopen(imlabel1, "r");
while(fscanf(fp1, "%d %f", &id, &iou) == 2){
if (d.y.vals[i][2*id] < iou) d.y.vals[i][2*id] = iou;
}
find_replace(paths[i*2+1], "imgs", "labels", imlabel2);
find_replace(imlabel2, "jpg", "txt", imlabel2);
FILE *fp2 = fopen(imlabel2, "r");
while(fscanf(fp2, "%d %f", &id, &iou) == 2){
if (d.y.vals[i][2*id + 1] < iou) d.y.vals[i][2*id + 1] = iou;
}
for (j = 0; j < classes; ++j){
if (d.y.vals[i][2*j] > .5 && d.y.vals[i][2*j+1] < .5){
d.y.vals[i][2*j] = 1;
d.y.vals[i][2*j+1] = 0;
} else if (d.y.vals[i][2*j] < .5 && d.y.vals[i][2*j+1] > .5){
d.y.vals[i][2*j] = 0;
d.y.vals[i][2*j+1] = 1;
} else {
d.y.vals[i][2*j] = SECRET_NUM;
d.y.vals[i][2*j+1] = SECRET_NUM;
}
}
fclose(fp1);
fclose(fp2);
free_image(im1);
free_image(im2);
}
if(m) free(paths);
return d;
}
data load_data_swag(char **paths, int n, int classes, float jitter)
{
int index = rand()%n;
char *random_path = paths[index];
image orig = load_image_color(random_path, 0, 0);
int h = orig.h;
int w = orig.w;
data d = {0};
d.shallow = 0;
d.w = w;
d.h = h;
d.X.rows = 1;
d.X.vals = (float**)calloc(d.X.rows, sizeof(float*));
d.X.cols = h*w*3;
int k = (4+classes)*90;
d.y = make_matrix(1, k);
int dw = w*jitter;
int dh = h*jitter;
int pleft = rand_uniform(-dw, dw);
int pright = rand_uniform(-dw, dw);
int ptop = rand_uniform(-dh, dh);
int pbot = rand_uniform(-dh, dh);
int swidth = w - pleft - pright;
int sheight = h - ptop - pbot;
float sx = (float)swidth / w;
float sy = (float)sheight / h;
int flip = rand()%2;
image cropped = crop_image(orig, pleft, ptop, swidth, sheight);
float dx = ((float)pleft/w)/sx;
float dy = ((float)ptop /h)/sy;
image sized = resize_image(cropped, w, h);
if(flip) flip_image(sized);
d.X.vals[0] = sized.data;
fill_truth_swag(random_path, d.y.vals[0], classes, flip, dx, dy, 1./sx, 1./sy);
free_image(orig);
free_image(cropped);
return d;
}
data load_data_detection(int n, char **paths, int m, int w, int h, int boxes, int classes, float jitter, float hue, float saturation, float exposure)
{
char **random_paths = get_random_paths(paths, n, m);
int i;
data d = {0};
d.shallow = 0;
d.X.rows = n;
d.X.vals = (float**)calloc(d.X.rows, sizeof(float*));
d.X.cols = h*w*3;
d.y = make_matrix(n, 5*boxes);
for(i = 0; i < n; ++i){
image orig = load_image_color(random_paths[i], 0, 0);
image sized = make_image(w, h, orig.c);
fill_image(sized, .5);
float dw = jitter * orig.w;
float dh = jitter * orig.h;
float new_ar = (orig.w + rand_uniform(-dw, dw)) / (orig.h + rand_uniform(-dh, dh));
//float scale = rand_uniform(.25, 2);
float scale = 1;
float nw, nh;
if(new_ar < 1){
nh = scale * h;
nw = nh * new_ar;
} else {
nw = scale * w;
nh = nw / new_ar;
}
float dx = rand_uniform(0, w - nw);
float dy = rand_uniform(0, h - nh);
place_image(orig, nw, nh, dx, dy, sized);
random_distort_image(sized, hue, saturation, exposure);
int flip = rand()%2;
if(flip) flip_image(sized);
d.X.vals[i] = sized.data;
fill_truth_detection(random_paths[i], boxes, d.y.vals[i], classes, flip, -dx/w, -dy/h, nw/w, nh/h);
free_image(orig);
}
free(random_paths);
return d;
}
void *load_thread(void *ptr)
{
//printf("Loading data: %d\n", rand());
load_args a = *(struct load_args*)ptr;
if(a.exposure == 0) a.exposure = 1;
if(a.saturation == 0) a.saturation = 1;
if(a.aspect == 0) a.aspect = 1;
if (a.type == OLD_CLASSIFICATION_DATA){
*a.d = load_data_old(a.paths, a.n, a.m, a.labels, a.classes, a.w, a.h);
} else if (a.type == REGRESSION_DATA){
*a.d = load_data_regression(a.paths, a.n, a.m, a.classes, a.min, a.max, a.size, a.angle, a.aspect, a.hue, a.saturation, a.exposure);
} else if (a.type == CLASSIFICATION_DATA){
*a.d = load_data_augment(a.paths, a.n, a.m, a.labels, a.classes, a.hierarchy, a.min, a.max, a.size, a.angle, a.aspect, a.hue, a.saturation, a.exposure, a.center);
} else if (a.type == SUPER_DATA){
*a.d = load_data_super(a.paths, a.n, a.m, a.w, a.h, a.scale);
} else if (a.type == WRITING_DATA){
*a.d = load_data_writing(a.paths, a.n, a.m, a.w, a.h, a.out_w, a.out_h);
} else if (a.type == ISEG_DATA){
*a.d = load_data_iseg(a.n, a.paths, a.m, a.w, a.h, a.classes, a.num_boxes, a.scale, a.min, a.max, a.angle, a.aspect, a.hue, a.saturation, a.exposure);
} else if (a.type == INSTANCE_DATA){
*a.d = load_data_mask(a.n, a.paths, a.m, a.w, a.h, a.classes, a.num_boxes, a.coords, a.min, a.max, a.angle, a.aspect, a.hue, a.saturation, a.exposure);
} else if (a.type == SEGMENTATION_DATA){
*a.d = load_data_seg(a.n, a.paths, a.m, a.w, a.h, a.classes, a.min, a.max, a.angle, a.aspect, a.hue, a.saturation, a.exposure, a.scale);
} else if (a.type == REGION_DATA){
*a.d = load_data_region(a.n, a.paths, a.m, a.w, a.h, a.num_boxes, a.classes, a.jitter, a.hue, a.saturation, a.exposure);
} else if (a.type == DETECTION_DATA){
*a.d = load_data_detection(a.n, a.paths, a.m, a.w, a.h, a.num_boxes, a.classes, a.jitter, a.hue, a.saturation, a.exposure);
} else if (a.type == SWAG_DATA){
*a.d = load_data_swag(a.paths, a.n, a.classes, a.jitter);
} else if (a.type == COMPARE_DATA){
*a.d = load_data_compare(a.n, a.paths, a.m, a.classes, a.w, a.h);
} else if (a.type == IMAGE_DATA){
*(a.im) = load_image_color(a.path, 0, 0);
*(a.resized) = resize_image(*(a.im), a.w, a.h);
} else if (a.type == LETTERBOX_DATA){
*(a.im) = load_image_color(a.path, 0, 0);
*(a.resized) = letterbox_image(*(a.im), a.w, a.h);
} else if (a.type == TAG_DATA){
*a.d = load_data_tag(a.paths, a.n, a.m, a.classes, a.min, a.max, a.size, a.angle, a.aspect, a.hue, a.saturation, a.exposure);
}
free(ptr);
return 0;
}
pthread_t load_data_in_thread(load_args args)
{
pthread_t thread;
struct load_args *ptr = (load_args*)calloc(1, sizeof(struct load_args));
*ptr = args;
if(pthread_create(&thread, 0, load_thread, ptr)) error("Thread creation failed");
return thread;
}
void *load_threads(void *ptr)
{
int i;
load_args args = *(load_args *)ptr;
if (args.threads == 0) args.threads = 1;
data *out = args.d;
int total = args.n;
free(ptr);
data *buffers = (data*)calloc(args.threads, sizeof(data));
pthread_t *threads = (pthread_t*)calloc(args.threads, sizeof(pthread_t));
for(i = 0; i < args.threads; ++i){
args.d = buffers + i;
args.n = (i+1) * total/args.threads - i * total/args.threads;
threads[i] = load_data_in_thread(args);
}
for(i = 0; i < args.threads; ++i){
pthread_join(threads[i], 0);
}
*out = concat_datas(buffers, args.threads);
out->shallow = 0;
for(i = 0; i < args.threads; ++i){
buffers[i].shallow = 1;
free_data(buffers[i]);
}
free(buffers);
free(threads);
return 0;
}
void load_data_blocking(load_args args)
{
struct load_args *ptr = (load_args*)calloc(1, sizeof(struct load_args));
*ptr = args;
load_thread(ptr);
}
pthread_t load_data(load_args args)
{
pthread_t thread;
struct load_args *ptr = (load_args*)calloc(1, sizeof(struct load_args));
*ptr = args;
if(pthread_create(&thread, 0, load_threads, ptr)) error("Thread creation failed");
return thread;
}
data load_data_writing(char **paths, int n, int m, int w, int h, int out_w, int out_h)
{
if(m) paths = get_random_paths(paths, n, m);
char **replace_paths = find_replace_paths(paths, n, ".png", "-label.png");
data d = {0};
d.shallow = 0;
d.X = load_image_paths(paths, n, w, h);
d.y = load_image_paths_gray(replace_paths, n, out_w, out_h);
if(m) free(paths);
int i;
for(i = 0; i < n; ++i) free(replace_paths[i]);
free(replace_paths);
return d;
}
data load_data_old(char **paths, int n, int m, char **labels, int k, int w, int h)
{
if(m) paths = get_random_paths(paths, n, m);
data d = {0};
d.shallow = 0;
d.X = load_image_paths(paths, n, w, h);
d.y = load_labels_paths(paths, n, labels, k, 0);
if(m) free(paths);
return d;
}
/*
data load_data_study(char **paths, int n, int m, char **labels, int k, int min, int max, int size, float angle, float aspect, float hue, float saturation, float exposure)
{
data d = {0};
d.indexes = calloc(n, sizeof(int));
if(m) paths = get_random_paths_indexes(paths, n, m, d.indexes);
d.shallow = 0;
d.X = load_image_augment_paths(paths, n, min, max, size, angle, aspect, hue, saturation, exposure);
d.y = load_labels_paths(paths, n, labels, k);
if(m) free(paths);
return d;
}
*/
data load_data_super(char **paths, int n, int m, int w, int h, int scale)
{
if(m) paths = get_random_paths(paths, n, m);
data d = {0};
d.shallow = 0;
int i;
d.X.rows = n;
d.X.vals = (float**)calloc(n, sizeof(float*));
d.X.cols = w*h*3;
d.y.rows = n;
d.y.vals = (float**)calloc(n, sizeof(float*));
d.y.cols = w*scale * h*scale * 3;
for(i = 0; i < n; ++i){
image im = load_image_color(paths[i], 0, 0);
image crop = random_crop_image(im, w*scale, h*scale);
int flip = rand()%2;
if (flip) flip_image(crop);
image resize = resize_image(crop, w, h);
d.X.vals[i] = resize.data;
d.y.vals[i] = crop.data;
free_image(im);
}
if(m) free(paths);
return d;
}
data load_data_regression(char **paths, int n, int m, int k, int min, int max, int size, float angle, float aspect, float hue, float saturation, float exposure)
{
if(m) paths = get_random_paths(paths, n, m);
data d = {0};
d.shallow = 0;
d.X = load_image_augment_paths(paths, n, min, max, size, angle, aspect, hue, saturation, exposure, 0);
d.y = load_regression_labels_paths(paths, n, k);
if(m) free(paths);
return d;
}
data select_data(data *orig, int *inds)
{
data d = {0};
d.shallow = 1;
d.w = orig[0].w;
d.h = orig[0].h;
d.X.rows = orig[0].X.rows;
d.y.rows = orig[0].X.rows;
d.X.cols = orig[0].X.cols;
d.y.cols = orig[0].y.cols;
d.X.vals = (float**)calloc(orig[0].X.rows, sizeof(float *));
d.y.vals = (float**)calloc(orig[0].y.rows, sizeof(float *));
int i;
for(i = 0; i < d.X.rows; ++i){
d.X.vals[i] = orig[inds[i]].X.vals[i];
d.y.vals[i] = orig[inds[i]].y.vals[i];
}
return d;
}
data *tile_data(data orig, int divs, int size)
{
data *ds = (data*)calloc(divs*divs, sizeof(data));
int i, j;
#pragma omp parallel for
for(i = 0; i < divs*divs; ++i){
data d;
d.shallow = 0;
d.w = orig.w/divs * size;
d.h = orig.h/divs * size;
d.X.rows = orig.X.rows;
d.X.cols = d.w*d.h*3;
d.X.vals = (float**)calloc(d.X.rows, sizeof(float*));
d.y = copy_matrix(orig.y);
#pragma omp parallel for
for(j = 0; j < orig.X.rows; ++j){
int x = (i%divs) * orig.w / divs - (d.w - orig.w/divs)/2;
int y = (i/divs) * orig.h / divs - (d.h - orig.h/divs)/2;
image im = float_to_image(orig.w, orig.h, 3, orig.X.vals[j]);
d.X.vals[j] = crop_image(im, x, y, d.w, d.h).data;
}
ds[i] = d;
}
return ds;
}
data resize_data(data orig, int w, int h)
{
data d = {0};
d.shallow = 0;
d.w = w;
d.h = h;
int i;
d.X.rows = orig.X.rows;
d.X.cols = w*h*3;
d.X.vals = (float**)calloc(d.X.rows, sizeof(float*));
d.y = copy_matrix(orig.y);
#pragma omp parallel for
for(i = 0; i < orig.X.rows; ++i){
image im = float_to_image(orig.w, orig.h, 3, orig.X.vals[i]);
d.X.vals[i] = resize_image(im, w, h).data;
}
return d;
}
data load_data_augment(char **paths, int n, int m, char **labels, int k, tree *hierarchy, int min, int max, int size, float angle, float aspect, float hue, float saturation, float exposure, int center)
{
if(m) paths = get_random_paths(paths, n, m);
data d = {0};
d.shallow = 0;
d.w=size;
d.h=size;
d.X = load_image_augment_paths(paths, n, min, max, size, angle, aspect, hue, saturation, exposure, center);
d.y = load_labels_paths(paths, n, labels, k, hierarchy);
if(m) free(paths);
return d;
}
data load_data_tag(char **paths, int n, int m, int k, int min, int max, int size, float angle, float aspect, float hue, float saturation, float exposure)
{
if(m) paths = get_random_paths(paths, n, m);
data d = {0};
d.w = size;
d.h = size;
d.shallow = 0;
d.X = load_image_augment_paths(paths, n, min, max, size, angle, aspect, hue, saturation, exposure, 0);
d.y = load_tags_paths(paths, n, k);
if(m) free(paths);
return d;
}
matrix concat_matrix(matrix m1, matrix m2)
{
int i, count = 0;
matrix m;
m.cols = m1.cols;
m.rows = m1.rows+m2.rows;
m.vals = (float**)calloc(m1.rows + m2.rows, sizeof(float*));
for(i = 0; i < m1.rows; ++i){
m.vals[count++] = m1.vals[i];
}
for(i = 0; i < m2.rows; ++i){
m.vals[count++] = m2.vals[i];
}
return m;
}
data concat_data(data d1, data d2)
{
data d = {0};
d.shallow = 1;
d.X = concat_matrix(d1.X, d2.X);
d.y = concat_matrix(d1.y, d2.y);
d.w = d1.w;
d.h = d1.h;
return d;
}
data concat_datas(data *d, int n)
{
int i;
data out = {0};
for(i = 0; i < n; ++i){
data new = concat_data(d[i], out);
free_data(out);
out = new;
}
return out;
}
data load_categorical_data_csv(char *filename, int target, int k)
{
data d = {0};
d.shallow = 0;
matrix X = csv_to_matrix(filename);
float *truth_1d = pop_column(&X, target);
float **truth = one_hot_encode(truth_1d, X.rows, k);
matrix y;
y.rows = X.rows;
y.cols = k;
y.vals = truth;
d.X = X;
d.y = y;
free(truth_1d);
return d;
}
data load_cifar10_data(char *filename)
{
data d = {0};
d.shallow = 0;
long i,j;
matrix X = make_matrix(10000, 3072);
matrix y = make_matrix(10000, 10);
d.X = X;
d.y = y;
FILE *fp = fopen(filename, "rb");
if(!fp) file_error(filename);
for(i = 0; i < 10000; ++i){
unsigned char bytes[3073];
fread(bytes, 1, 3073, fp);
int class = bytes[0];
y.vals[i][class] = 1;
for(j = 0; j < X.cols; ++j){
X.vals[i][j] = (double)bytes[j+1];
}
}
scale_data_rows(d, 1./255);
//normalize_data_rows(d);
fclose(fp);
return d;
}
void get_random_batch(data d, int n, float *X, float *y)
{
int j;
for(j = 0; j < n; ++j){
int index = rand()%d.X.rows;
memcpy(X+j*d.X.cols, d.X.vals[index], d.X.cols*sizeof(float));
memcpy(y+j*d.y.cols, d.y.vals[index], d.y.cols*sizeof(float));
}
}
void get_next_batch(data d, int n, int offset, float *X, float *y)
{
int j;
for(j = 0; j < n; ++j){
int index = offset + j;
memcpy(X+j*d.X.cols, d.X.vals[index], d.X.cols*sizeof(float));
if(y) memcpy(y+j*d.y.cols, d.y.vals[index], d.y.cols*sizeof(float));
}
}
void smooth_data(data d)
{
int i, j;
float scale = 1. / d.y.cols;
float eps = .1;
for(i = 0; i < d.y.rows; ++i){
for(j = 0; j < d.y.cols; ++j){
d.y.vals[i][j] = eps * scale + (1-eps) * d.y.vals[i][j];
}
}
}
data load_all_cifar10()
{
data d = {0};
d.shallow = 0;
int i,j,b;
matrix X = make_matrix(50000, 3072);
matrix y = make_matrix(50000, 10);
d.X = X;
d.y = y;
for(b = 0; b < 5; ++b){
char buff[256];
sprintf(buff, "data/cifar/cifar-10-batches-bin/data_batch_%d.bin", b+1);
FILE *fp = fopen(buff, "rb");
if(!fp) file_error(buff);
for(i = 0; i < 10000; ++i){
unsigned char bytes[3073];
fread(bytes, 1, 3073, fp);
int class = bytes[0];
y.vals[i+b*10000][class] = 1;
for(j = 0; j < X.cols; ++j){
X.vals[i+b*10000][j] = (double)bytes[j+1];
}
}
fclose(fp);
}
//normalize_data_rows(d);
scale_data_rows(d, 1./255);
smooth_data(d);
return d;
}
data load_go(char *filename)
{
FILE *fp = fopen(filename, "rb");
matrix X = make_matrix(3363059, 361);
matrix y = make_matrix(3363059, 361);
int row, col;
if(!fp) file_error(filename);
char *label;
int count = 0;
while((label = fgetl(fp))){
int i;
if(count == X.rows){
X = resize_matrix(X, count*2);
y = resize_matrix(y, count*2);
}
sscanf(label, "%d %d", &row, &col);
char *board = fgetl(fp);
int index = row*19 + col;
y.vals[count][index] = 1;
for(i = 0; i < 19*19; ++i){
float val = 0;
if(board[i] == '1') val = 1;
else if(board[i] == '2') val = -1;
X.vals[count][i] = val;
}
++count;
free(label);
free(board);
}
X = resize_matrix(X, count);
y = resize_matrix(y, count);
data d = {0};
d.shallow = 0;
d.X = X;
d.y = y;
fclose(fp);
return d;
}
void randomize_data(data d)
{
int i;
for(i = d.X.rows-1; i > 0; --i){
int index = rand()%i;
float *swap = d.X.vals[index];
d.X.vals[index] = d.X.vals[i];
d.X.vals[i] = swap;
swap = d.y.vals[index];
d.y.vals[index] = d.y.vals[i];
d.y.vals[i] = swap;
}
}
void scale_data_rows(data d, float s)
{
int i;
for(i = 0; i < d.X.rows; ++i){
scale_array(d.X.vals[i], d.X.cols, s);
}
}
void translate_data_rows(data d, float s)
{
int i;
for(i = 0; i < d.X.rows; ++i){
translate_array(d.X.vals[i], d.X.cols, s);
}
}
data copy_data(data d)
{
data c = {0};
c.w = d.w;
c.h = d.h;
c.shallow = 0;
c.num_boxes = d.num_boxes;
c.boxes = d.boxes;
c.X = copy_matrix(d.X);
c.y = copy_matrix(d.y);
return c;
}
void normalize_data_rows(data d)
{
int i;
for(i = 0; i < d.X.rows; ++i){
normalize_array(d.X.vals[i], d.X.cols);
}
}
data get_data_part(data d, int part, int total)
{
data p = {0};
p.shallow = 1;
p.X.rows = d.X.rows * (part + 1) / total - d.X.rows * part / total;
p.y.rows = d.y.rows * (part + 1) / total - d.y.rows * part / total;
p.X.cols = d.X.cols;
p.y.cols = d.y.cols;
p.X.vals = d.X.vals + d.X.rows * part / total;
p.y.vals = d.y.vals + d.y.rows * part / total;
return p;
}
data get_random_data(data d, int num)
{
data r = {0};
r.shallow = 1;
r.X.rows = num;
r.y.rows = num;
r.X.cols = d.X.cols;
r.y.cols = d.y.cols;
r.X.vals = (float**)calloc(num, sizeof(float *));
r.y.vals = (float**)calloc(num, sizeof(float *));
int i;
for(i = 0; i < num; ++i){
int index = rand()%d.X.rows;
r.X.vals[i] = d.X.vals[index];
r.y.vals[i] = d.y.vals[index];
}
return r;
}
data *split_data(data d, int part, int total)
{
data *split = (data*)calloc(2, sizeof(data));
int i;
int start = part*d.X.rows/total;
int end = (part+1)*d.X.rows/total;
data train;
data test;
train.shallow = test.shallow = 1;
test.X.rows = test.y.rows = end-start;
train.X.rows = train.y.rows = d.X.rows - (end-start);
train.X.cols = test.X.cols = d.X.cols;
train.y.cols = test.y.cols = d.y.cols;
train.X.vals = (float**)calloc(train.X.rows, sizeof(float*));
test.X.vals = (float**)calloc(test.X.rows, sizeof(float*));
train.y.vals = (float**)calloc(train.y.rows, sizeof(float*));
test.y.vals = (float**)calloc(test.y.rows, sizeof(float*));
for(i = 0; i < start; ++i){
train.X.vals[i] = d.X.vals[i];
train.y.vals[i] = d.y.vals[i];
}
for(i = start; i < end; ++i){
test.X.vals[i-start] = d.X.vals[i];
test.y.vals[i-start] = d.y.vals[i];
}
for(i = end; i < d.X.rows; ++i){
train.X.vals[i-(end-start)] = d.X.vals[i];
train.y.vals[i-(end-start)] = d.y.vals[i];
}
split[0] = train;
split[1] = test;
return split;
}
#undef class
#undef new |
kmp_doacross_check.c | // RUN: %libomp-compile-and-run
#include <stdio.h>
#define N 1000
struct dim {
long long lo; // lower
long long up; // upper
long long st; // stride
};
extern void __kmpc_doacross_init(void*, int, int, struct dim *);
extern void __kmpc_doacross_wait(void*, int, long long*);
extern void __kmpc_doacross_post(void*, int, long long*);
extern void __kmpc_doacross_fini(void*, int);
extern int __kmpc_global_thread_num(void*);
int main()
{
int i;
int iter[N];
struct dim dims;
for( i = 0; i < N; ++i )
iter[i] = 1;
dims.lo = 1;
dims.up = N-1;
dims.st = 1;
#pragma omp parallel num_threads(4)
{
int i, gtid;
long long vec;
gtid = __kmpc_global_thread_num(NULL);
__kmpc_doacross_init(NULL,gtid,1,&dims); // thread starts the loop
#pragma omp for nowait schedule(dynamic)
for( i = 1; i < N; ++i )
{
// runtime call corresponding to #pragma omp ordered depend(sink:i-1)
vec=i-1;
__kmpc_doacross_wait(NULL,gtid,&vec);
// user's code
iter[i] = iter[i-1] + 1;
// runtime call corresponding to #pragma omp ordered depend(source)
vec=i;
__kmpc_doacross_post(NULL,gtid,&vec);
}
// thread finishes the loop (should be before the loop barrier)
__kmpc_doacross_fini(NULL,gtid);
}
if( iter[N-1] == N ) {
printf("passed\n");
} else {
printf("failed %d != %d\n", iter[N-1], N);
return 1;
}
return 0;
}
|
sub_omp.c | /*
This file is part of ParTI!.
ParTI! is free software: you can redistribute it and/or modify
it under the terms of the GNU Lesser General Public License as
published by the Free Software Foundation, either version 3 of
the License, or (at your option) any later version.
ParTI! is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU Lesser General Public
License along with ParTI!.
If not, see <http://www.gnu.org/licenses/>.
*/
#include <ParTI.h>
#include "sptensor.h"
/* TODO: bug. */
int sptSparseTensorSubOMP(sptSparseTensor *Y, sptSparseTensor *X, int const nthreads) {
/* Ensure X and Y are in same shape */
if(Y->nmodes != X->nmodes) {
spt_CheckError(SPTERR_SHAPE_MISMATCH, "OMP SpTns Sub", "shape mismatch");
}
for(sptIndex i = 0; i < X->nmodes; ++i) {
if(Y->ndims[i] != X->ndims[i]) {
spt_CheckError(SPTERR_SHAPE_MISMATCH, "OMP SpTns Sub", "shape mismatch");
}
}
/* Determine partationing strategy. */
sptNnzIndex * dist_nnzs_X = (sptNnzIndex*)malloc(nthreads*sizeof(sptNnzIndex));
sptNnzIndex * dist_nnzs_Y = (sptNnzIndex*)malloc(nthreads*sizeof(sptNnzIndex));
sptIndex * dist_nrows_Y = (sptIndex*)malloc(nthreads*sizeof(sptIndex));
spt_DistSparseTensor(Y, nthreads, dist_nnzs_Y, dist_nrows_Y);
spt_DistSparseTensorFixed(X, nthreads, dist_nnzs_X, dist_nnzs_Y);
free(dist_nrows_Y);
printf("dist_nnzs_Y:\n");
for(int i=0; i<nthreads; ++i) {
printf("%" PARTI_PRI_NNZ_INDEX " ", dist_nnzs_Y[i]);
}
printf("\n");
printf("dist_nnzs_X:\n");
for(int i=0; i<nthreads; ++i) {
printf("%" PARTI_PRI_NNZ_INDEX " ", dist_nnzs_X[i]);
}
printf("\n");
fflush(stdout);
/* Build a private arrays to append values. */
sptNnzIndex nnz_gap = llabs((long long) Y->nnz - (long long) X->nnz);
sptNnzIndex increase_size = 0;
if(nnz_gap == 0) increase_size = 10;
else increase_size = nnz_gap;
sptIndexVector **local_inds = (sptIndexVector**)malloc(nthreads* sizeof *local_inds);
for(int k=0; k<nthreads; ++k) {
local_inds[k] = (sptIndexVector*)malloc(Y->nmodes* sizeof *(local_inds[k]));
for(sptIndex m=0; m<Y->nmodes; ++m) {
sptNewIndexVector(&(local_inds[k][m]), 0, increase_size);
}
}
sptValueVector *local_vals = (sptValueVector*)malloc(nthreads* sizeof *local_vals);
for(int k=0; k<nthreads; ++k) {
sptNewValueVector(&(local_vals[k]), 0, increase_size);
}
/* Add elements one by one, assume indices are ordered */
sptNnzIndex Ynnz = 0;
omp_set_dynamic(0);
omp_set_num_threads(nthreads);
#pragma omp parallel reduction(+:Ynnz)
{
int tid = omp_get_thread_num();
sptNnzIndex i=0, j=0;
Ynnz = dist_nnzs_Y[tid];
while(i < dist_nnzs_X[tid] && j < dist_nnzs_Y[tid]) {
int compare = spt_SparseTensorCompareIndices(X, i, Y, j);
if(compare > 0) {
++j;
} else if(compare < 0) {
sptIndex mode;
int result;
for(mode = 0; mode < X->nmodes; ++mode) {
result = sptAppendIndexVector(&(local_inds[tid][mode]), X->inds[mode].data[i]);
spt_CheckOmpError(result, "OMP SpTns Sub", NULL);
}
result = sptAppendValueVector(&(local_vals[tid]), -X->values.data[i]);
spt_CheckOmpError(result, "OMP SpTns Sub", NULL);
++Ynnz;
++i;
} else {
Y->values.data[j] -= X->values.data[i];
++i;
++j;
}
}
/* Append remaining elements of X to Y */
while(i < dist_nnzs_X[tid]) {
sptIndex mode;
int result;
for(mode = 0; mode < X->nmodes; ++mode) {
result = sptAppendIndexVector(&(local_inds[tid][mode]), X->inds[mode].data[i]);
spt_CheckOmpError(result, "OMP SpTns Sub", NULL);
}
result = sptAppendValueVector(&(local_vals[tid]), -X->values.data[i]);
spt_CheckOmpError(result, "OMP SpTns Sub", NULL);
++Ynnz;
++i;
}
}
/* Append all the local arrays to Y. */
for(int k=0; k<nthreads; ++k) {
for(sptIndex m=0; m<Y->nmodes; ++m) {
sptAppendIndexVectorWithVector(&(Y->inds[m]), &(local_inds[k][m]));
}
sptAppendValueVectorWithVector(&(Y->values), &(local_vals[k]));
}
for(int k=0; k<nthreads; ++k) {
for(sptIndex m=0; m<Y->nmodes; ++m) {
sptFreeIndexVector(&(local_inds[k][m]));
}
free(local_inds[k]);
sptFreeValueVector(&(local_vals[k]));
}
free(local_inds);
free(local_vals);
free(dist_nnzs_X);
free(dist_nnzs_Y);
/* Check whether elements become zero after adding.
If so, fill the gap with the [nnz-1]'th element.
*/
spt_SparseTensorCollectZeros(Y);
/* Sort the indices */
sptSparseTensorSortIndex(Y, 1, nthreads);
return 0;
}
|
grid_ao_drv.c | /*
* Author: Qiming Sun <osirpt.sun@gmail.com>
*/
#include <stdlib.h>
#include <string.h>
#include <math.h>
#include <complex.h>
#include "config.h"
#include "grid_ao_drv.h"
#define MIN(X,Y) ((X)<(Y)?(X):(Y))
#define MAX(X,Y) ((X)>(Y)?(X):(Y))
double exp_cephes(double x);
double CINTcommon_fac_sp(int l);
void GTOnabla1(double *fx1, double *fy1, double *fz1,
double *fx0, double *fy0, double *fz0, int l, double a)
{
int i, n;
double a2 = -2 * a;
for (n = 0; n < SIMDD; n++) {
fx1[n] = a2*fx0[SIMDD+n];
fy1[n] = a2*fy0[SIMDD+n];
fz1[n] = a2*fz0[SIMDD+n];
}
for (i = 1; i <= l; i++) {
for (n = 0; n < SIMDD; n++) {
fx1[i*SIMDD+n] = i*fx0[(i-1)*SIMDD+n] + a2*fx0[(i+1)*SIMDD+n];
fy1[i*SIMDD+n] = i*fy0[(i-1)*SIMDD+n] + a2*fy0[(i+1)*SIMDD+n];
fz1[i*SIMDD+n] = i*fz0[(i-1)*SIMDD+n] + a2*fz0[(i+1)*SIMDD+n];
} }
}
/*
* r - R_O = (r-R_i) + ri, ri = (x,y,z) = R_i - R_O
*/
void GTOx1(double *fx1, double *fy1, double *fz1,
double *fx0, double *fy0, double *fz0, int l, double *ri)
{
int i, n;
for (i = 0; i <= l; i++) {
for (n = 0; n < SIMDD; n++) {
fx1[i*SIMDD+n] = ri[0] * fx0[i*SIMDD+n] + fx0[(i+1)*SIMDD+n];
fy1[i*SIMDD+n] = ri[1] * fy0[i*SIMDD+n] + fy0[(i+1)*SIMDD+n];
fz1[i*SIMDD+n] = ri[2] * fz0[i*SIMDD+n] + fz0[(i+1)*SIMDD+n];
} }
}
int GTOprim_exp(double *eprim, double *coord, double *alpha, double *coeff,
int l, int nprim, int nctr, size_t ngrids, double fac)
{
int i, j;
double arr, maxc;
double logcoeff[nprim];
double rr[ngrids];
double *gridx = coord;
double *gridy = coord+BLKSIZE;
double *gridz = coord+BLKSIZE*2;
int not0 = 0;
// the maximum value of the coefficients for each pGTO
for (j = 0; j < nprim; j++) {
maxc = 0;
for (i = 0; i < nctr; i++) {
maxc = MAX(maxc, fabs(coeff[i*nprim+j]));
}
logcoeff[j] = log(maxc);
}
for (i = 0; i < ngrids; i++) {
rr[i] = gridx[i]*gridx[i] + gridy[i]*gridy[i] + gridz[i]*gridz[i];
}
for (j = 0; j < nprim; j++) {
for (i = 0; i < ngrids; i++) {
arr = alpha[j] * rr[i];
if (arr-logcoeff[j] < EXPCUTOFF) {
eprim[j*BLKSIZE+i] = exp_cephes(-arr) * fac;
not0 = 1;
} else {
eprim[j*BLKSIZE+i] = 0;
}
}
}
return not0;
}
// grid2atm[atm_id,xyz,grid_id]
static void _fill_grid2atm(double *grid2atm, double *coord, size_t bgrids, size_t ngrids,
int *atm, int natm, int *bas, int nbas, double *env)
{
int atm_id;
size_t ig;
double *r_atm;
for (atm_id = 0; atm_id < natm; atm_id++) {
r_atm = env + atm[PTR_COORD+atm_id*ATM_SLOTS];
for (ig = 0; ig < bgrids; ig++) {
grid2atm[0*BLKSIZE+ig] = coord[0*ngrids+ig] - r_atm[0];
grid2atm[1*BLKSIZE+ig] = coord[1*ngrids+ig] - r_atm[1];
grid2atm[2*BLKSIZE+ig] = coord[2*ngrids+ig] - r_atm[2];
}
grid2atm += 3*BLKSIZE;
}
}
static void _dset0(double *out, size_t odim, size_t bgrids, int counts)
{
size_t i, j;
for (i = 0; i < counts; i++) {
for (j = 0; j < bgrids; j++) {
out[i*odim+j] = 0;
}
}
}
static void _zset0(double complex *out, size_t odim, size_t bgrids, int counts)
{
size_t i, j;
for (i = 0; i < counts; i++) {
for (j = 0; j < bgrids; j++) {
out[i*odim+j] = 0;
}
}
}
void GTOeval_sph_iter(FPtr_eval feval, FPtr_exp fexp, double fac,
size_t nao, size_t ngrids, size_t bgrids,
int param[], int *shls_slice, int *ao_loc, double *buf,
double *ao, double *coord, char *non0table,
int *atm, int natm, int *bas, int nbas, double *env)
{
const int ncomp = param[TENSOR];
const int sh0 = shls_slice[0];
const int sh1 = shls_slice[1];
const int atmstart = bas[sh0*BAS_SLOTS+ATOM_OF];
const int atmend = bas[(sh1-1)*BAS_SLOTS+ATOM_OF]+1;
const int atmcount = atmend - atmstart;
int i, k, l, np, nc, atm_id, bas_id, deg, dcart, ao_id;
size_t di;
double fac1;
double *p_exp, *pcoeff, *pcoord, *pcart, *ri, *pao;
double *grid2atm = buf; // [atm_id,xyz,grid]
double *eprim = grid2atm + atmcount*3*BLKSIZE;
double *cart_gto = eprim + NPRIMAX*BLKSIZE*2;
_fill_grid2atm(grid2atm, coord, bgrids, ngrids,
atm+atmstart*ATM_SLOTS, atmcount, bas, nbas, env);
for (bas_id = sh0; bas_id < sh1; bas_id++) {
np = bas[bas_id*BAS_SLOTS+NPRIM_OF];
nc = bas[bas_id*BAS_SLOTS+NCTR_OF ];
l = bas[bas_id*BAS_SLOTS+ANG_OF ];
deg = l * 2 + 1;
fac1 = fac * CINTcommon_fac_sp(l);
p_exp = env + bas[bas_id*BAS_SLOTS+PTR_EXP];
pcoeff = env + bas[bas_id*BAS_SLOTS+PTR_COEFF];
atm_id = bas[bas_id*BAS_SLOTS+ATOM_OF];
pcoord = grid2atm + (atm_id - atmstart) * 3*BLKSIZE;
ao_id = ao_loc[bas_id] - ao_loc[sh0];
if (non0table[bas_id] &&
(*fexp)(eprim, pcoord, p_exp, pcoeff, l, np, nc, bgrids, fac1)) {
dcart = (l+1)*(l+2)/2;
di = nc * dcart;
ri = env + atm[PTR_COORD+atm_id*ATM_SLOTS];
if (l <= 1) { // s, p functions
(*feval)(ao+ao_id*ngrids, ri, eprim, pcoord, p_exp, pcoeff,
env, l, np, nc, nao, ngrids, bgrids);
} else {
(*feval)(cart_gto, ri, eprim, pcoord, p_exp, pcoeff,
env, l, np, nc, di, bgrids, bgrids);
pcart = cart_gto;
for (i = 0; i < ncomp; i++) {
pao = ao + (i*nao+ao_id)*ngrids;
for (k = 0; k < nc; k++) {
CINTc2s_ket_sph1(pao, pcart,
ngrids, bgrids, l);
pao += deg * ngrids;
pcart += dcart * bgrids;
}
}
}
} else {
for (i = 0; i < ncomp; i++) {
_dset0(ao+(i*nao+ao_id)*ngrids, ngrids, bgrids, nc*deg);
}
}
}
}
void GTOeval_cart_iter(FPtr_eval feval, FPtr_exp fexp, double fac,
size_t nao, size_t ngrids, size_t bgrids,
int param[], int *shls_slice, int *ao_loc, double *buf,
double *ao, double *coord, char *non0table,
int *atm, int natm, int *bas, int nbas, double *env)
{
const int ncomp = param[TENSOR];
const int sh0 = shls_slice[0];
const int sh1 = shls_slice[1];
const int atmstart = bas[sh0*BAS_SLOTS+ATOM_OF];
const int atmend = bas[(sh1-1)*BAS_SLOTS+ATOM_OF]+1;
const int atmcount = atmend - atmstart;
int i, k, l, np, nc, atm_id, bas_id, deg, ao_id;
double fac1;
double *p_exp, *pcoeff, *pcoord, *pcart, *ri, *pao;
double *grid2atm = buf; // [atm_id,xyz,grid]
double *eprim = grid2atm + atmcount*3*BLKSIZE;
_fill_grid2atm(grid2atm, coord, bgrids, ngrids,
atm+atmstart*ATM_SLOTS, atmcount, bas, nbas, env);
for (bas_id = sh0; bas_id < sh1; bas_id++) {
np = bas[bas_id*BAS_SLOTS+NPRIM_OF];
nc = bas[bas_id*BAS_SLOTS+NCTR_OF ];
l = bas[bas_id*BAS_SLOTS+ANG_OF ];
deg = (l+1)*(l+2)/2;
fac1 = fac * CINTcommon_fac_sp(l);
p_exp = env + bas[bas_id*BAS_SLOTS+PTR_EXP];
pcoeff = env + bas[bas_id*BAS_SLOTS+PTR_COEFF];
atm_id = bas[bas_id*BAS_SLOTS+ATOM_OF];
pcoord = grid2atm + (atm_id - atmstart) * 3*BLKSIZE;
ao_id = ao_loc[bas_id] - ao_loc[sh0];
if (non0table[bas_id] &&
(*fexp)(eprim, pcoord, p_exp, pcoeff, l, np, nc, bgrids, fac1)) {
ri = env + atm[PTR_COORD+atm_id*ATM_SLOTS];
(*feval)(ao+ao_id*ngrids, ri, eprim, pcoord, p_exp, pcoeff,
env, l, np, nc, nao, ngrids, bgrids);
} else {
for (i = 0; i < ncomp; i++) {
_dset0(ao+(i*nao+ao_id)*ngrids, ngrids, bgrids, nc*deg);
}
}
}
}
void GTOeval_spinor_iter(FPtr_eval feval, FPtr_exp fexp, void (*c2s)(), double fac,
size_t nao, size_t ngrids, size_t bgrids,
int param[], int *shls_slice, int *ao_loc, double *buf,
double complex *ao, double *coord, char *non0table,
int *atm, int natm, int *bas, int nbas, double *env)
{
const int ncomp_e1 = param[POS_E1];
const int ncomp = param[TENSOR];
const int sh0 = shls_slice[0];
const int sh1 = shls_slice[1];
const int atmstart = bas[sh0*BAS_SLOTS+ATOM_OF];
const int atmend = bas[(sh1-1)*BAS_SLOTS+ATOM_OF]+1;
const int atmcount = atmend - atmstart;
int i, k, l, np, nc, atm_id, bas_id, deg, kappa, dcart, ao_id;
size_t off, di;
double fac1;
double *p_exp, *pcoeff, *pcoord, *pcart, *ri;
double complex *aoa = ao;
double complex *aob = ao + ncomp*nao*ngrids;
double *grid2atm = buf; // [atm_id,xyz,grid]
double *eprim = grid2atm + atmcount*3*BLKSIZE;
double *cart_gto = eprim + NPRIMAX*BLKSIZE*2;
_fill_grid2atm(grid2atm, coord, bgrids, ngrids,
atm+atmstart*ATM_SLOTS, atmcount, bas, nbas, env);
for (bas_id = sh0; bas_id < sh1; bas_id++) {
np = bas[bas_id*BAS_SLOTS+NPRIM_OF];
nc = bas[bas_id*BAS_SLOTS+NCTR_OF ];
l = bas[bas_id*BAS_SLOTS+ANG_OF ];
deg = CINTlen_spinor(bas_id, bas);
fac1 = fac * CINTcommon_fac_sp(l);
p_exp = env + bas[bas_id*BAS_SLOTS+PTR_EXP];
pcoeff = env + bas[bas_id*BAS_SLOTS+PTR_COEFF];
atm_id = bas[bas_id*BAS_SLOTS+ATOM_OF];
pcoord = grid2atm + (atm_id - atmstart) * 3*BLKSIZE;
ao_id = ao_loc[bas_id] - ao_loc[sh0];
if (non0table[bas_id] &&
(*fexp)(eprim, pcoord, p_exp, pcoeff, l, np, nc, bgrids, fac1)) {
kappa = bas[bas_id*BAS_SLOTS+KAPPA_OF];
dcart = (l+1)*(l+2)/2;
di = nc * dcart;
ri = env + atm[PTR_COORD+atm_id*ATM_SLOTS];
(*feval)(cart_gto, ri, eprim, pcoord, p_exp, pcoeff,
env, l, np, nc, di, bgrids, bgrids);
for (i = 0; i < ncomp; i++) {
pcart = cart_gto + i * di*bgrids*ncomp_e1;
off = (i*nao+ao_id)*ngrids;
(*c2s)(aoa+off, aob+off, pcart,
ngrids, bgrids, nc, kappa, l);
}
} else {
for (i = 0; i < ncomp; i++) {
off = (i*nao+ao_id)*ngrids;
_zset0(aoa+off, ngrids, bgrids, nc*deg);
_zset0(aob+off, ngrids, bgrids, nc*deg);
}
}
}
}
int GTOshloc_by_atom(int *shloc, int *shls_slice, int *ao_loc, int *atm, int *bas)
{
const int sh0 = shls_slice[0];
const int sh1 = shls_slice[1];
int ish, nshblk, lastatm;
shloc[0] = sh0;
nshblk = 1;
lastatm = bas[BAS_SLOTS*sh0+ATOM_OF];
for (ish = sh0; ish < sh1; ish++) {
if (lastatm != bas[BAS_SLOTS*ish+ATOM_OF]) {
lastatm = bas[BAS_SLOTS*ish+ATOM_OF];
shloc[nshblk] = ish;
nshblk++;
}
}
shloc[nshblk] = sh1;
return nshblk;
}
/*
* non0table[ngrids/blksize,natm] is the T/F table for ao values to
* screen the ao evaluation for each shell
*/
void GTOeval_loop(void (*fiter)(), FPtr_eval feval, FPtr_exp fexp, double fac,
int ngrids, int param[], int *shls_slice, int *ao_loc,
double *ao, double *coord, char *non0table,
int *atm, int natm, int *bas, int nbas, double *env)
{
int shloc[shls_slice[1]-shls_slice[0]+1];
const int nshblk = GTOshloc_by_atom(shloc, shls_slice, ao_loc, atm, bas);
const int nblk = (ngrids+BLKSIZE-1) / BLKSIZE;
const size_t Ngrids = ngrids;
#pragma omp parallel default(none) \
shared(fiter, feval, fexp, fac, param, ao_loc, shls_slice, ngrids, \
ao, coord, non0table, atm, natm, bas, nbas, env, shloc)
{
const int sh0 = shls_slice[0];
const int sh1 = shls_slice[1];
const size_t nao = ao_loc[sh1] - ao_loc[sh0];
int ip, ib, k, iloc, ish;
size_t aoff, bgrids;
int ncart = NCTR_CART * param[TENSOR] * param[POS_E1];
double *buf = malloc(sizeof(double) * BLKSIZE*(NPRIMAX*2+ncart));
#pragma omp for schedule(static)
for (k = 0; k < nblk*nshblk; k++) {
iloc = k / nblk;
ish = shloc[iloc];
aoff = ao_loc[ish] - ao_loc[sh0];
ib = k - iloc * nblk;
ip = ib * BLKSIZE;
bgrids = MIN(ngrids-ip, BLKSIZE);
(*fiter)(feval, fexp, fac, nao, Ngrids, bgrids,
param, shloc+iloc, ao_loc, buf, ao+aoff*Ngrids+ip,
coord+ip, non0table+ib*nbas,
atm, natm, bas, nbas, env);
}
free(buf);
}
}
void GTOeval_sph_drv(FPtr_eval feval, FPtr_exp fexp, double fac, int ngrids,
int param[], int *shls_slice, int *ao_loc,
double *ao, double *coord, char *non0table,
int *atm, int natm, int *bas, int nbas, double *env)
{
GTOeval_loop(GTOeval_sph_iter, feval, fexp, fac, ngrids,
param, shls_slice, ao_loc,
ao, coord, non0table, atm, natm, bas, nbas, env);
}
void GTOeval_cart_drv(FPtr_eval feval, FPtr_exp fexp, double fac, int ngrids,
int param[], int *shls_slice, int *ao_loc,
double *ao, double *coord, char *non0table,
int *atm, int natm, int *bas, int nbas, double *env)
{
GTOeval_loop(GTOeval_cart_iter, feval, fexp, fac, ngrids,
param, shls_slice, ao_loc,
ao, coord, non0table, atm, natm, bas, nbas, env);
}
void GTOeval_spinor_drv(FPtr_eval feval, FPtr_exp fexp, void (*c2s)(), double fac,
int ngrids, int param[], int *shls_slice, int *ao_loc,
double complex *ao, double *coord, char *non0table,
int *atm, int natm, int *bas, int nbas, double *env)
{
int shloc[shls_slice[1]-shls_slice[0]+1];
const int nshblk = GTOshloc_by_atom(shloc, shls_slice, ao_loc, atm, bas);
const int nblk = (ngrids+BLKSIZE-1) / BLKSIZE;
const size_t Ngrids = ngrids;
#pragma omp parallel default(none) \
shared(feval, fexp, c2s, fac, ngrids, param, ao_loc, shls_slice, \
ao, coord, non0table, atm, natm, bas, nbas, env, shloc)
{
const int sh0 = shls_slice[0];
const int sh1 = shls_slice[1];
const size_t nao = ao_loc[sh1] - ao_loc[sh0];
int ip, ib, k, iloc, ish;
size_t aoff, bgrids;
int ncart = NCTR_CART * param[TENSOR] * param[POS_E1];
double *buf = malloc(sizeof(double) * BLKSIZE*(NPRIMAX*2+ncart));
#pragma omp for schedule(static)
for (k = 0; k < nblk*nshblk; k++) {
iloc = k / nblk;
ish = shloc[iloc];
aoff = ao_loc[ish] - ao_loc[sh0];
ib = k - iloc * nblk;
ip = ib * BLKSIZE;
bgrids = MIN(ngrids-ip, BLKSIZE);
GTOeval_spinor_iter(feval, fexp, c2s, fac,
nao, Ngrids, bgrids,
param, shloc+iloc, ao_loc, buf, ao+aoff*Ngrids+ip,
coord+ip, non0table+ib*nbas,
atm, natm, bas, nbas, env);
}
free(buf);
}
}
|
msh_hash_grid.h | /*
==============================================================================
MSH_HASH_GRID.H v0.5
A single header library for low-dimensional(2d and 3d) range and nearest neighbor queries.
To use the library you simply add:
#define MSH_HASH_GRID_IMPLEMENTATION
#include "msh_hash_grid.h"
==============================================================================
API DOCUMENTATION
This library focuses on the radius search, which is done by first creating
hash grid from your input pointset, and then calling search procedure.
It is important to note that this library produces search structures that are initialization
depended - the radius supplied during initialization should be close to the radius used in
search queries
Customization
-------------
'msh_hash_grid.h' performs dynamic memory allocation. You have an option to provide alternate memory
allocation functions, by defining following macros prior to inclusion of this file:
- MSH_HG_MALLOC
- MSH_HG_MEMSET
- MSH_HG_CALLOC
- MSH_HG_REALLOC
- MSH_HG_FREE
msh_hash_grid_init_2d
---------------------
void msh_hash_grid_init_2d( msh_hash_grid_t* hg,
const float* pts, const int32_t n_pts, const float radius );
Initializes the 2d hash grid 'hg' using the data passed in 'pts' where the cell size is
selected to best serve queries with 'radius' search distance. 'pts' is expected to
be continuous array of 2d point corrdinates.
msh_hash_grid_init_3d
---------------------
void msh_hash_grid_init_3d( msh_hash_grid_t* hg,
const float* pts, const int32_t n_pts, const float radius );
Initializes the 3d hash grid 'hg' using the data passed in 'pts' where the cell size is
selected to best serve queries with 'radius' search distance. 'pts' is expected to
be continuous array of 3d point corrdinates.
msh_hash_grid_term
---------------------
void msh_hash_grid_term( msh_hash_grid_t* hg );
Terminates storage for grid 'hg'. 'hg' should not be used after this call.
msh_hash_grid_radius_search
---------------------
size_t msh_hash_grid_radius_search( const msh_hash_grid_t* hg,
msh_hash_grid_search_desc_t* search_desc );
Performs radius search using 'hg' as acceleration structure, with search queries described
in 'search_desc'. Returns the total number of neighbors found. The members of
'msh_hash_grid_search_desc_t' are:
float* query_pts - INPUT: array of query points. Provided and owned by the user
size_t n_query_pts - INPUT: size of query points array. Provided by the user.
float radius - OPTION: radius within which we wish to find neighbors for each query
int sort - OPTION: should the results be sorted from closest to farthest
size_t max_n_neigh/k - OPTION: maximum number of neighbors allowed for each query.
float* distances_sq - OUTPUT: max_n_neigh * n_query_pts matrix of squared distances to neighbors
of query pts that are within radius. Each row contains up
to max_n_neigh neighbors for i-th query pts. This array is allocated
internally by library, but ownership is then passed to the user.
int32_t* indices - OUTPUT: max_n_neigh * n_query_pts array of indices to neighbors of query
pts that are within radius. Each row contains up
to max_n_neigh neighbors for i-th query pts. This array is allocated
internally by library, but ownership is then passed to the user.
size_t* n_neighbors - OUTPUT: n_query_pts array of number of number neighbors found for
each of query pts. Note that for i-th points we could find less
than max_n_neighbors. This array should be used when iterating over
indices and distances_sq matrices.
Note that when doing searches, 'max_n_neigh' parameter is important - set it too low and
you will not find all neighbors within the radius (the k returned will still be the k closest though).
Set it too high, and there will be a decent amount of memory wasting and cache misses.
msh_hash_grid_knn_search
---------------------
size_t msh_hash_grid_knn_search( const msh_hash_grid_t* hg,
msh_hash_grid_search_desc_t* search_desc );
Exactly the same as 'msh_hash_grid_radius_search', except search will be performed until
'k' (specified in 'search_desc') neighbors will be found. Depending on how large 'k' is,
these queries might not be very fast.
==============================================================================
DEPENDENCIES
This file requires following c stdlib headers:
- <stdlib.h>
- <stdint.h>
- <string.h>
- <stdio.h>
- <stdbool.h>
- <stddef.h>
Note that this file will not pull them in. This is to prevent pulling the same
files multiple times, especially within single compilation unit.
To actually include the headers, simply define following before including the library:
#define MSH_HASH_GRID_INCLUDE_HEADERS
==============================================================================
AUTHORS:
Maciej Halber
CREDITS:
Map implementation based on bitwise by Per Vogsnen
Dynamic array based on stb.h by Sean T. Barrett
Licensing information can be found at the end of the file.
==============================================================================
TODOs:
[ ] Replace openMP with a custom threading/scheduler implementation
[ ] Compatibility function
[ ] Allow user to specify compatibility function instead of just L2 norm
[ ] Allow user to provide some extra user data like normals for computing the distances
[ ] Write ICP example + visualization to test this. Question how well that helps icp converge
[ ] Assert proof
[ ] Docs
[x] Fix issue when _init function cannot be used if no implementation is declared.
[x] Optimization - in both knn and radius I need a better way to determine whether I can early out
[x] Optimization - see if I can simplify the radius search function for small search radii.
--> Very small gains given the increase in complexity.
[x] Optimization - spatial locality - sort linear data on bin idx or morton curves
--> Does not seem to produce improvement. Something else must be dominating the times
--> Maybe morton curves will be better
[x] Fix knn search
[x] Multithread knn
[x] Heap implementation for knn radius
[x] Use <algorithm> first
[x] Implement own version and compare
[x] Multithreading
[x] API for supplying more then a single point
[x] OpenMP optional support ( if -fopenmp was supplied, sequential otherwise)
[x] Params struct for searching
[x] Add 2d support on API level
==============================================================================
*/
#ifndef MSH_HASH_GRID_H
#define MSH_HASH_GRID_H
#if defined(MSH_HASH_GRID_INCLUDE_HEADERS)
#include <stdlib.h>
#include <stdint.h>
#include <string.h>
#include <stdio.h>
#include <stdbool.h>
#include <stddef.h>
#endif
#ifndef MSH_HG_MALLOC
#define MSH_HG_MALLOC(x) malloc((x))
#endif
#ifndef MSH_HG_MEMSET
#define MSH_HG_MEMSET(x,y,z) memset((x), (y), (z))
#endif
#ifndef MSH_HG_CALLOC
#define MSH_HG_CALLOC(x,y) calloc((x), (y))
#endif
#ifndef MSH_HG_REALLOC
#define MSH_HG_REALLOC(x,y) realloc((x), (y))
#endif
#ifndef MSH_HG_FREE
#define MSH_HG_FREE(x) free((x))
#endif
#if defined(_OPENMP)
#include <omp.h>
#endif
#ifdef __cplusplus
extern "C" {
#endif
typedef struct msh_hash_grid msh_hash_grid_t;
typedef struct msh_hash_grid_search_desc
{
float* query_pts;
size_t n_query_pts;
float* distances_sq;
int32_t* indices;
size_t* n_neighbors;
float radius;
union
{
size_t k;
size_t max_n_neigh;
};
int sort;
#ifdef MSH_JOBS
msh_jobs_ctx_t* work_ctx;
#endif
} msh_hash_grid_search_desc_t;
void msh_hash_grid_init_2d( msh_hash_grid_t* hg,
const float* pts, const int32_t n_pts, const float radius );
void msh_hash_grid_init_3d( msh_hash_grid_t* hg,
const float* pts, const int32_t n_pts, const float radius );
void msh_hash_grid_term( msh_hash_grid_t* hg );
size_t msh_hash_grid_radius_search( const msh_hash_grid_t* hg,
msh_hash_grid_search_desc_t* search_desc );
size_t msh_hash_grid_knn_search( const msh_hash_grid_t* hg,
msh_hash_grid_search_desc_t* search_desc );
typedef struct msh_hg_v3
{
float x, y, z;
} msh_hg_v3_t;
typedef struct msh_hg_v3i
{
float x, y, z;
int32_t i;
} msh_hg_v3i_t;
typedef struct msh_hg_bin_data msh_hg__bin_data_t;
typedef struct msh_hg_bin_info msh_hg__bin_info_t;
typedef struct msh_hg_map msh_hg_map_t;
typedef struct msh_hash_grid
{
size_t width;
size_t height;
size_t depth;
double cell_size;
msh_hg_v3_t min_pt;
msh_hg_v3_t max_pt;
msh_hg_map_t* bin_table;
msh_hg_v3i_t* data_buffer;
msh_hg__bin_info_t* offsets;
int32_t _slab_size;
double _inv_cell_size;
uint8_t _pts_dim;
uint16_t _num_threads;
int32_t _dont_use_omp;
uint32_t max_n_pts_in_bin;
size_t _n_pts;
} msh_hash_grid_t;
typedef struct msh_hg_map
{
uint64_t* keys;
uint64_t* vals;
size_t _len;
size_t _cap;
} msh_hg_map_t;
typedef struct msh_hg_bin_data
{
int32_t n_pts;
msh_hg_v3i_t* data;
} msh_hg__bin_data_t;
typedef struct msh_hg_bin_info
{
uint32_t offset;
uint32_t length;
} msh_hg__bin_info_t;
#ifdef __cplusplus
}
#endif
#endif /* MSH_HASH_GRID_H */
#ifdef MSH_HASH_GRID_IMPLEMENTATION
////////////////////////////////////////////////////////////////////////////////////////////////////
// IMPLEMENTATION
////////////////////////////////////////////////////////////////////////////////////////////////////
////////////////////////////////////////////////////////////////////////////////////////////////////
// THIS IS A SIMPLIFIED VERSION OF MSH_STD_ARRAY
#ifdef __cplusplus
extern "C" {
#endif
typedef struct msh_hg_array_header
{
size_t len;
size_t cap;
} msh_hg_array_hdr_t;
#define msh_hg_array(T) T*
void* msh_hg__array_grow(const void *array, size_t new_len, size_t elem_size);
#define msh_hg_array__grow_formula(x) ((2*(x)+5))
#define msh_hg_array__hdr(a) ((msh_hg_array_hdr_t *)((char *)(a) - sizeof(msh_hg_array_hdr_t)))
#define msh_hg_array_len(a) ((a) ? (msh_hg_array__hdr((a))->len) : 0)
#define msh_hg_array_cap(a) ((a) ? (msh_hg_array__hdr((a))->cap) : 0)
#define msh_hg_array_front(a) ((a) ? (a) : NULL)
#define msh_hg_array_back(a) (msh_hg_array_len((a)) ? ((a) + msh_hg_array_len((a)) - 1 ) : NULL)
#define msh_hg_array_free(a) ((a) ? (MSH_HG_FREE(msh_hg_array__hdr(a)), (a) = NULL) : 0 )
#define msh_hg_array_fit(a, n) ((n) <= msh_hg_array_cap(a) ? (0) : ( *(void**)&(a) = msh_hg__array_grow((a), (n), sizeof(*(a))) ))
#define msh_hg_array_push(a, ...) (msh_hg_array_fit((a), 1 + msh_hg_array_len((a))), (a)[msh_hg_array__hdr(a)->len++] = (__VA_ARGS__))
#define MSH_HG_MAX(a, b) ((a) > (b) ? (a) : (b))
#define MSH_HG_MIN(a, b) ((a) <= (b) ? (a) : (b))
#define MSH_HG_MAX3(a, b, c) MSH_HG_MAX(MSH_HG_MAX(a,b), MSH_HG_MAX(b,c))
#ifdef __cplusplus
}
#endif
////////////////////////////////////////////////////////////////////////////////////////////////////
// THIS IS A COPY OF MSH_MAP
uint64_t msh_hg_hash_uint64( uint64_t x );
void msh_hg_map_init( msh_hg_map_t* map, uint32_t cap );
void msh_hg_map_free( msh_hg_map_t* map );
size_t msh_hg_map_len( msh_hg_map_t* map );
size_t msh_hg_map_cap( msh_hg_map_t* map );
void msh_hg_map_insert( msh_hg_map_t* map, uint64_t key, uint64_t val );
uint64_t* msh_hg_map_get( const msh_hg_map_t* map, uint64_t key );
// NOTE(maciej): This is not very comprehensive as far as platform detection macros go.
#if defined(_MSC_VER)
#define MSH_HG_INLINE __forceinline
#else
#define MSH_HG_INLINE __attribute__((always_inline, unused)) inline
#endif
MSH_HG_INLINE msh_hg_v3_t
msh_hg__vec3_add( msh_hg_v3_t a, msh_hg_v3_t b )
{
return (msh_hg_v3_t) { a.x + b.x, a.y + b.y, a.z + b.z };
}
MSH_HG_INLINE msh_hg_v3_t
msh_hg__vec3_sub( msh_hg_v3_t a, msh_hg_v3_t b )
{
return (msh_hg_v3_t) { a.x - b.x, a.y - b.y, a.z - b.z };
}
MSH_HG_INLINE uint64_t
msh_hash_grid__bin_pt( const msh_hash_grid_t* hg, uint64_t ix, uint64_t iy, uint64_t iz )
{
uint64_t bin_idx = iz * hg->_slab_size + iy * hg->width + ix;
return bin_idx;
}
int uint64_compare( const void * a, const void * b )
{
return ( *(uint64_t*)a - *(uint64_t*)b );
}
void
msh_hash_grid__init( msh_hash_grid_t* hg,
const float* pts, const int32_t n_pts, const int32_t dim,
const float radius )
{
assert( dim == 2 || dim == 3 );
if( hg->_num_threads == 0 )
{
#if defined(_OPENMP)
#pragma omp parallel
{
hg->_num_threads = omp_get_num_threads();
}
#else
hg->_num_threads = 1;
#endif
}
#if defined(_OPENMP)
if( hg->_num_threads == 1 ) { hg->_dont_use_omp = 1; }
#endif
hg->_pts_dim = dim;
// Compute bbox
hg->min_pt = (msh_hg_v3_t){ .x = 1e9, .y = 1e9, .z = 1e9 };
hg->max_pt = (msh_hg_v3_t){ .x = -1e9, .y = -1e9, .z = -1e9 };
for( int i = 0; i < n_pts; ++i )
{
const float* pt_ptr = &pts[ dim * i ];
msh_hg_v3_t pt;
if( dim == 2 ) { pt = (msh_hg_v3_t){ .x = pt_ptr[0], .y = pt_ptr[1], .z = 0 }; }
else { pt = (msh_hg_v3_t){ .x = pt_ptr[0], .y = pt_ptr[1], .z = pt_ptr[2] }; };
hg->min_pt.x = (hg->min_pt.x > pt.x) ? pt.x : hg->min_pt.x;
hg->min_pt.y = (hg->min_pt.y > pt.y) ? pt.y : hg->min_pt.y;
hg->min_pt.z = (hg->min_pt.z > pt.z) ? pt.z : hg->min_pt.z;
hg->max_pt.x = (hg->max_pt.x < pt.x) ? pt.x : hg->max_pt.x;
hg->max_pt.y = (hg->max_pt.y < pt.y) ? pt.y : hg->max_pt.y;
hg->max_pt.z = (hg->max_pt.z < pt.z) ? pt.z : hg->max_pt.z;
}
hg->max_pt.x += 0.0001f; hg->max_pt.y += 0.0001f; hg->max_pt.z += 0.0001f;
hg->min_pt.x -= 0.0001f; hg->min_pt.y -= 0.0001f; hg->min_pt.z -= 0.0001f;
// Calculate dimensions
float dim_x = (hg->max_pt.x - hg->min_pt.x);
float dim_y = (hg->max_pt.y - hg->min_pt.y);
float dim_z = (hg->max_pt.z - hg->min_pt.z);
float max_dim = MSH_HG_MAX3( dim_x, dim_y, dim_z );
// Calculate cell size
if( radius > 0.0 ) { hg->cell_size = 2.0 * radius; }
else { hg->cell_size = max_dim / (32 * sqrtf(3.0f)); }
hg->width = (int)(dim_x / hg->cell_size + 1.0);
hg->height = (int)(dim_y / hg->cell_size + 1.0) ;
hg->depth = (int)(dim_z / hg->cell_size + 1.0) ;
hg->_inv_cell_size = 1.0f/ hg->cell_size;
hg->_slab_size = hg->height * hg->width;
hg->_n_pts = 0;
// Create hash table
hg->bin_table = (msh_hg_map_t*)MSH_HG_CALLOC( 1, sizeof(msh_hg_map_t) );
msh_hg_map_init( hg->bin_table, 128 );
msh_hg_array( msh_hg__bin_data_t ) bin_table_data = {0};
uint64_t n_bins = 0;
for( int i = 0 ; i < n_pts; ++i )
{
const float* pt_ptr = &pts[ dim * i ];
msh_hg_v3i_t pt_data;
if( dim == 2 )
{
pt_data = (msh_hg_v3i_t){ .x = pt_ptr[0], .y = pt_ptr[1], .z = 0, .i = i };
}
else
{
pt_data = (msh_hg_v3i_t){ .x = pt_ptr[0], .y = pt_ptr[1], .z = pt_ptr[2], .i = i };
}
uint64_t ix = (uint64_t)( ( pt_data.x - hg->min_pt.x ) * hg->_inv_cell_size );
uint64_t iy = (uint64_t)( ( pt_data.y - hg->min_pt.y ) * hg->_inv_cell_size );
uint64_t iz = (uint64_t)( ( pt_data.z - hg->min_pt.z ) * hg->_inv_cell_size );
uint64_t bin_idx = msh_hash_grid__bin_pt( hg, ix, iy, iz );
uint64_t* bin_table_idx = msh_hg_map_get( hg->bin_table, bin_idx );
if( bin_table_idx )
{
bin_table_data[*bin_table_idx].n_pts += 1;
msh_hg_array_push( bin_table_data[*bin_table_idx].data, pt_data );
}
else
{
msh_hg_map_insert( hg->bin_table, bin_idx, n_bins );
msh_hg__bin_data_t new_bin = {0};
new_bin.n_pts = 1;
msh_hg_array_push( new_bin.data, pt_data );
msh_hg_array_push( bin_table_data, new_bin );
n_bins++;
}
}
// Prepare storage for linear data
hg->offsets = (msh_hg__bin_info_t*)MSH_HG_MALLOC( n_bins * sizeof(msh_hg__bin_info_t) );
hg->data_buffer = (msh_hg_v3i_t*)MSH_HG_MALLOC( n_pts * sizeof( msh_hg_v3i_t ) );
MSH_HG_MEMSET( hg->offsets, 0, n_bins * sizeof(msh_hg__bin_info_t) );
// Gather indices of bins that have data in them from hash table
msh_array( uint64_t ) filled_bin_indices = {0};
for( size_t i = 0; i < msh_hg_map_cap(hg->bin_table); ++i )
{
// Remember that msh_hg_map internally increments the index, so we need to decrement it here.
if( hg->bin_table->keys[i] )
{
msh_array_push( filled_bin_indices, hg->bin_table->keys[i] - 1);
}
}
qsort( filled_bin_indices, msh_hg_array_len( filled_bin_indices ), sizeof(uint64_t), uint64_compare );
// Now lay the data into an array based on the sorted keys (following fill order)
// TODO(maciej): Morton ordering?
hg->max_n_pts_in_bin = 0;
uint32_t offset = 0;
for( size_t i = 0; i < msh_hg_array_len(filled_bin_indices); ++i )
{
uint64_t* bin_index = msh_hg_map_get( hg->bin_table, filled_bin_indices[i] );
assert( bin_index );
msh_hg__bin_data_t* bin = &bin_table_data[ *bin_index ];
assert( bin );
uint32_t n_bin_pts = bin->n_pts;
hg->_n_pts += n_bin_pts;
hg->max_n_pts_in_bin = MSH_HG_MAX( n_bin_pts, hg->max_n_pts_in_bin );
for( uint32_t j = 0; j < n_bin_pts; ++j )
{
hg->data_buffer[ offset + j ] = bin->data[j] ;
}
hg->offsets[ *bin_index ] = (msh_hg__bin_info_t) { .offset = offset, .length = n_bin_pts };
offset += n_bin_pts;
}
// Clean-up temporary data
for( size_t i = 0; i < n_bins; ++i )
{
msh_hg_array_free( bin_table_data[i].data );
}
msh_hg_array_free( bin_table_data );
}
void
msh_hash_grid_init_2d( msh_hash_grid_t* hg,
const float* pts, const int32_t n_pts, const float radius)
{
msh_hash_grid__init( hg, pts, n_pts, 2, radius );
}
void
msh_hash_grid_init_3d( msh_hash_grid_t* hg,
const float* pts, const int32_t n_pts, const float radius)
{
msh_hash_grid__init( hg, pts, n_pts, 3, radius );
}
void
msh_hash_grid_term( msh_hash_grid_t* hg )
{
hg->width = 0;
hg->height = 0;
hg->depth = 0;
hg->cell_size = 0.0f;
hg->min_pt = (msh_hg_v3_t){ 0.0f, 0.0f, 0.0f };
hg->max_pt = (msh_hg_v3_t){ 0.0f, 0.0f, 0.0f };
hg->_slab_size = 0.0f;
hg->_inv_cell_size = 0.0f;
MSH_HG_FREE( hg->data_buffer ); hg->data_buffer = NULL;
MSH_HG_FREE( hg->offsets ); hg->offsets = NULL;
MSH_HG_FREE( hg->bin_table ); hg->bin_table = NULL;
}
// NOTE(maciej): This implementation is a special case modification of a templated
// sort by Sean T. Barret from stb.h. We simply want to allow sorting both the indices
// and distances if user requested returning sorted results.
void
msh_hash_grid__ins_sort( float *dists, int32_t* indices, int n )
{
int i = 0;
int j = 0;
for( i = 1; i < n; ++i )
{
float da = dists[i];
int32_t ia = indices[i];
j = i;
while( j > 0 )
{
float db = dists[j-1];
if( da >= db ) { break; }
dists[j] = dists[j-1];
indices[j] = indices[j-1];
--j;
}
if (i != j)
{
dists[j] = da;
indices[j] = ia;
}
}
}
void
msh_hash_grid__quick_sort( float *dists, int32_t* indices, int n )
{
// threshold for transitioning to insertion sort
while( n > 12 )
{
float da, db, dt;
int32_t it = 0;
int32_t c01, c12, c, m, i, j;
// compute median of three
m = n >> 1;
da = dists[0];
db = dists[m];
c = da < db;
c01 = c;
da = dists[m];
db = dists[n-1];
c = da < db;
c12 = c;
// if 0 >= mid >= end, or 0 < mid < end, then use mid
if( c01 != c12 )
{
// otherwise, we'll need to swap something else to middle
int32_t z;
da = dists[0];
db = dists[n-1];
c = da < db;
// 0>mid && mid<n: 0>n => n; 0<n => 0
// 0<mid && mid>n: 0>n => 0; 0<n => n
z = (c == c12) ? 0 : n-1;
dt = dists[z];
dists[z] = dists[m];
dists[m] = dt;
it = indices[z];
indices[z] = indices[m];
indices[m] = it;
}
// now dists[m] is the median-of-three swap it to the beginning so it won't move around
dt = dists[0];
dists[0] = dists[m];
dists[m] = dt;
it = indices[0];
indices[0] = indices[m];
indices[m] = it;
// partition loop
i=1;
j=n-1;
for(;;)
{
// handling of equality is crucial here for sentinels & efficiency with duplicates
db = dists[0];
for( ;;++i )
{
da = dists[i];
c = da < db;
if (!c) break;
}
da = dists[0];
for( ;;--j ) {
db = dists[j];
c = da < db;
if (!c) break;
}
// make sure we haven't crossed
if( i >= j ) { break; }
dt = dists[i];
dists[i] = dists[j];
dists[j] = dt;
it = indices[i];
indices[i] = indices[j];
indices[j] = it;
++i;
--j;
}
// recurse on smaller side, iterate on larger
if( j < (n-i) )
{
msh_hash_grid__quick_sort( dists, indices, j );
dists = dists + i;
indices = indices + i;
n = n - i;
}
else
{
msh_hash_grid__quick_sort( dists + i, indices + i, n - i );
n = j;
}
}
}
void
msh_hash_grid__sort( float* dists, int32_t* indices, int n )
{
msh_hash_grid__quick_sort( dists, indices, n );
msh_hash_grid__ins_sort( dists, indices, n );
}
// Heap implementation with a twist that we swap array of indices based on the distance heap
void
msh_hash_grid__heapify( float *dists, int32_t* ind, size_t len, size_t cur )
{
size_t max = cur;
const size_t left = (cur<<1) + 1;
const size_t right = (cur<<1) + 2;
if( (left < len) && (dists[left] > dists[cur]) ) { max = left; }
if( (right < len) && (dists[right] > dists[max]) ) { max = right; }
if( max != cur ) // need to swap
{
float tmp_dist = dists[cur];
dists[cur] = dists[max];
dists[max] = tmp_dist;
int32_t tmp_idx = ind[cur];
ind[cur] = ind[max];
ind[max] = tmp_idx;
msh_hash_grid__heapify( dists, ind, len, max );
}
}
void msh_hash_grid__heap_make( real32_t* dists, int32_t* ind, size_t len )
{
int64_t i = len >> 1;
while ( i >= 0 ) { msh_hash_grid__heapify( dists, ind, len, i-- ); }
}
void msh_hash_grid__heap_pop( real32_t* dists, int32_t* ind, size_t len )
{
float max_dist = dists[0];
dists[0] = dists[len-1];
dists[len-1] = max_dist;
float max_idx = ind[0];
ind[0] = ind[len-1];
ind[len-1] = max_idx;
len--;
if( len > 0 ){ msh_hash_grid__heapify( dists, ind, len, 0 ); }
}
void msh_hash_grid__heap_push( real32_t* dists, int32_t* ind, size_t len )
{
int64_t i = len - 1;
float d = dists[i];
int32_t idx = ind[i];
while( i > 0 )
{
int64_t j = (i - 1) >> 1;
if( dists[j] >= d ) break;
dists[i] = dists[j];
ind[i] = ind[j];
i = j;
}
dists[i] = d;
ind[i] = idx;
}
typedef struct msh_hash_grid_dist_storage
{
size_t cap;
size_t len;
real32_t max_dist;
real32_t* dists;
int32_t* indices;
int32_t is_heap;
} msh_hash_grid_dist_storage_t;
void
msh_hash_grid_dist_storage_init( msh_hash_grid_dist_storage_t* q,
const int k, float* dists, int32_t* indices )
{
q->cap = k;
q->len = 0;
q->max_dist = -MSH_F32_MAX;
q->is_heap = 0;
q->dists = dists;
q->indices = indices;
}
uint32_t query_counter = 0;
uint32_t skip_counter = 0;
uint32_t valid_counter = 0;
MSH_HG_INLINE void
msh_hash_grid_dist_storage_push( msh_hash_grid_dist_storage_t* q,
const float dist, const int32_t idx )
{
if( q->len >= q->cap && dist >= q->max_dist ) { return; }
if( q->len >= q->cap )
{
// remove farthest if at capacity
msh_hash_grid__heap_pop( q->dists, q->indices, q->len );
q->len--;
}
// add new element
q->dists[ q->len ] = dist;
q->indices[ q->len ] = idx;
q->len++;
if( q->is_heap) { msh_hash_grid__heap_push( q->dists, q->indices, q->len ); }
if( q->len >= q->cap && !q->is_heap )
{
msh_hash_grid__heap_make( q->dists, q->indices, q->len );
q->is_heap = 1;
}
if( q->is_heap ) { q->max_dist = q->dists[0]; }
else if ( q->max_dist <= dist ) { q->max_dist = dist; }
}
void
msh_hash_grid__find_neighbors_in_bin( const msh_hash_grid_t* hg, const uint64_t bin_idx,
const float radius_sq, const float* pt,
msh_hash_grid_dist_storage_t* s )
{
// issue this whole things stops working if we use doubles.
uint64_t* bin_table_idx = msh_hg_map_get( hg->bin_table, bin_idx );
if( !bin_table_idx ) { return; }
msh_hg__bin_info_t bi = hg->offsets[ *bin_table_idx ];
uint32_t n_pts = bi.length;
const msh_hg_v3i_t* data = &hg->data_buffer[bi.offset];
float px = pt[0];
float py = pt[1];
float pz = (hg->_pts_dim == 2 ) ? 0.0 : pt[2];
for( uint32_t i = 0; i < n_pts; ++i )
{
// TODO(maciej): Maybe SSE?
float dix = data[i].x;
float diy = data[i].y;
float diz = data[i].z;
int32_t dii = data[i].i;
float vx = dix - px;
float vy = diy - py;
float vz = diz - pz;
float dist_sq = vx * vx + vy * vy + vz * vz;
if( dist_sq < radius_sq )
{
msh_hash_grid_dist_storage_push( s, dist_sq, dii );
}
}
}
uint32_t
msh_hash_grid__radius_search( const msh_hash_grid_t* hg,
msh_hash_grid_search_desc_t* hg_sd,
uint32_t start_idx, uint32_t end_idx )
{
if( !hg || !hg_sd ) { return 0; }
enum { MAX_BIN_COUNT = 256 };
int32_t bin_indices[ MAX_BIN_COUNT ];
float bin_dists_sq[ MAX_BIN_COUNT ];
float radius = hg_sd->radius;
double radius_sq = (double)radius * (double)radius;
size_t row_size = hg_sd->max_n_neigh;
msh_hash_grid_dist_storage_t storage;
uint32_t total_num_neighbors = 0;
for( uint32_t pt_idx = start_idx; pt_idx < end_idx; ++pt_idx )
{
float* query_pt = hg_sd->query_pts + (hg->_pts_dim * pt_idx);
size_t* n_neighbors = hg_sd->n_neighbors ? (hg_sd->n_neighbors + pt_idx) : NULL;
float* dists_sq = hg_sd->distances_sq + (pt_idx * row_size);
int32_t* indices = hg_sd->indices + (pt_idx * row_size);
// Prep the storage for the next point
msh_hash_grid_dist_storage_init( &storage, row_size, dists_sq, indices );
// Normalize query pt with respect to grid
msh_hg_v3_t q;
if( hg->_pts_dim == 2 )
{
q = (msh_hg_v3_t) { query_pt[0] - hg->min_pt.x,
query_pt[1] - hg->min_pt.y,
0.0 };
}
else
{
q = (msh_hg_v3_t) { query_pt[0] - hg->min_pt.x,
query_pt[1] - hg->min_pt.y,
query_pt[2] - hg->min_pt.z };
}
// Get base bin idx for query pt
int64_t ix = (int64_t)( q.x * hg->_inv_cell_size );
int64_t iy = (int64_t)( q.y * hg->_inv_cell_size );
int64_t iz = (int64_t)( q.z * hg->_inv_cell_size );
// Decide where to look
int64_t px = (int64_t)( (q.x + radius) * hg->_inv_cell_size );
int64_t nx = (int64_t)( (q.x - radius) * hg->_inv_cell_size );
int64_t opx = px - ix;
int64_t onx = nx - ix;
int64_t py = (int64_t)( (q.y + radius) * hg->_inv_cell_size );
int64_t ny = (int64_t)( (q.y - radius) * hg->_inv_cell_size );
int64_t opy = py - iy;
int64_t ony = ny - iy;
int64_t pz = (int64_t)( (q.z + radius) * hg->_inv_cell_size );
int64_t nz = (int64_t)( (q.z - radius) * hg->_inv_cell_size );
int64_t opz = pz - iz;
int64_t onz = nz - iz;
uint32_t n_visited_bins = 0;
float dx, dy, dz;
int64_t cx, cy, cz;
for( int64_t oz = onz; oz <= opz; ++oz )
{
cz = (int64_t)iz + oz;
if( cz < 0 || cz >= (int64_t)hg->depth ) { continue; }
uint64_t idx_z = cz * hg->_slab_size;
if( oz < 0 ) { dz = q.z - (cz + 1) * hg->cell_size; }
else if( oz > 0 ) { dz = cz * hg->cell_size - q.z; }
else { dz = 0.0f; }
for( int64_t oy = ony; oy <= opy; ++oy )
{
cy = iy + oy;
if( cy < 0 || cy >= (int64_t)hg->height ) { continue; }
uint64_t idx_y = cy * hg->width;
if( oy < 0 ) { dy = q.y - (cy + 1) * hg->cell_size; }
else if( oy > 0 ) { dy = cy * hg->cell_size - q.y; }
else { dy = 0.0f; }
for( int64_t ox = onx; ox <= opx; ++ox )
{
cx = ix + ox;
if( cx < 0 || cx >= (int64_t)hg->width ) { continue; }
// assert( n_visited_bins < MAX_BIN_COUNT );
if( n_visited_bins >= MAX_BIN_COUNT ) { goto msh_hash_grid_lbl__find_neighbors2; }
bin_indices[n_visited_bins] = idx_z + idx_y + cx;
if( ox < 0 ) { dx = q.x - (cx + 1) * hg->cell_size; }
else if( ox > 0 ) { dx = cx * hg->cell_size - q.x; }
else { dx = 0.0f; }
bin_dists_sq[n_visited_bins] = dz * dz + dy * dy + dx * dx;
n_visited_bins++;
}
}
}
msh_hash_grid_lbl__find_neighbors2:
msh_hash_grid__sort( bin_dists_sq, bin_indices, n_visited_bins );
for( uint32_t i = 0; i < n_visited_bins; ++i )
{
msh_hash_grid__find_neighbors_in_bin( hg, bin_indices[i], radius_sq, query_pt, &storage );
if( storage.len >= row_size &&
storage.max_dist <= bin_dists_sq[i] )
{
break;
}
}
if( hg_sd->sort ) { msh_hash_grid__sort( dists_sq, indices, storage.len ); }
if( n_neighbors ) { (*n_neighbors++) = storage.len; }
total_num_neighbors += storage.len;
}
return total_num_neighbors;;
}
#ifdef MSH_JOBS
typedef struct msh_hash_grid__work_opts
{
const msh_hash_grid_t* hg;
msh_hash_grid_search_desc_t* hg_sd;
uint32_t start_idx;
uint32_t end_idx;
uint32_t volatile *total_num_neighbors;
} msh_hash_grid__work_opts_t;
MSH_JOBS_JOB_SIGNATURE(msh_hash_grid__run_radius_search)
{
msh_hash_grid__work_opts_t opts = *((msh_hash_grid__work_opts_t*)params);
uint32_t cur_num_neighbors = msh_hash_grid__radius_search( opts.hg, opts.hg_sd, opts.start_idx, opts.end_idx );
msh_jobs_atomic_add( opts.total_num_neighbors, cur_num_neighbors );
return 0;
}
#endif
size_t
msh_hash_grid_radius_search2( const msh_hash_grid_t* hg,
msh_hash_grid_search_desc_t* hg_sd )
{
assert( hg_sd->query_pts );
assert( hg_sd->distances_sq );
assert( hg_sd->indices );
assert( hg_sd->radius > 0.0 );
assert( hg_sd->n_query_pts > 0 );
assert( hg_sd->max_n_neigh > 0 );
#ifdef MSH_JOBS
uint32_t single_thread_limit = 64;
if( !hg_sd->work_ctx || hg_sd->n_query_pts < single_thread_limit )
{
return msh_hash_grid__radius_search( hg, hg_sd, 0, hg_sd->n_query_pts );
}
else
{
#if 1
uint32_t volatile total_num_neighbors = 0;
enum{ MSH_HASH_GRID__N_TASKS = 128 };
msh_hash_grid__work_opts_t work_array[MSH_HASH_GRID__N_TASKS];
uint32_t n_pts_per_task = hg_sd->n_query_pts / MSH_HASH_GRID__N_TASKS + 1;
n_pts_per_task = n_pts_per_task < single_thread_limit ? single_thread_limit : n_pts_per_task;
for( uint32_t work_idx = 0; work_idx < MSH_HASH_GRID__N_TASKS; ++work_idx )
{
uint32_t start_idx = work_idx * n_pts_per_task;
uint32_t end_idx = msh_min( (work_idx + 1) * n_pts_per_task, hg_sd->n_query_pts );
if( start_idx > hg_sd->n_query_pts ) { break; }
msh_hash_grid__work_opts_t* work_entry = work_array + work_idx;
work_entry->hg = hg;
work_entry->hg_sd = hg_sd;
work_entry->total_num_neighbors = &total_num_neighbors;
work_entry->start_idx = start_idx;
work_entry->end_idx = end_idx;
msh_jobs_push_work( hg_sd->work_ctx, msh_hash_grid__run_radius_search, work_entry );
}
msh_jobs_complete_all_work( hg_sd->work_ctx );
return total_num_neighbors;
#else
// NOTE(maciej): This does not work completely, as it sometimes overflows the queue
uint32_t volatile total_num_neighbors = 0;
uint32_t start_idx = 0;
int64_t pts_left = hg_sd->n_query_pts;
// NOTE(maciej): We could always just generate 16 jobs or smth like that to avoid malloc. Will need to test.
uint32_t work_idx = 0;
uint32_t n_tasks = pts_left / single_thread_limit + 1;
msh_hash_grid__work_opts_t* work_array = malloc( n_tasks * sizeof(msh_hash_grid__work_opts_t) );
while( pts_left > 0 )
{
uint32_t count = (pts_left >= single_thread_limit) ? single_thread_limit : pts_left;
msh_hash_grid__work_opts_t* work_entry = work_array + work_idx++;
work_entry->hg = hg;
work_entry->hg_sd = hg_sd;
work_entry->total_num_neighbors = &total_num_neighbors;
work_entry->start_idx = start_idx;
work_entry->end_idx = start_idx + count;
msh_jobs_push_work( hg_sd->work_ctx, msh_hash_grid__run_radius_search, work_entry );
pts_left -= single_thread_limit;
start_idx += single_thread_limit;
}
msh_jobs_complete_all_work( hg_sd->work_ctx );
free( work_array );
return total_num_neighbors;
#endif
}
#else
return msh_hash_grid__radius_search( hg, hg_sd, 0, hg_sd->n_query_pts );
#endif
}
size_t msh_hash_grid_radius_search( const msh_hash_grid_t* hg,
msh_hash_grid_search_desc_t* hg_sd )
{
assert( hg_sd->query_pts );
assert( hg_sd->distances_sq );
assert( hg_sd->indices );
assert( hg_sd->radius > 0.0 );
assert( hg_sd->n_query_pts > 0 );
assert( hg_sd->max_n_neigh > 0 );
// Unpack the some useful data from structs
enum { MAX_BIN_COUNT = 512, MAX_THREAD_COUNT = 512 };
uint32_t n_query_pts = hg_sd->n_query_pts;
size_t row_size = hg_sd->max_n_neigh;
double radius = hg_sd->radius;
uint64_t slab_size = hg->_slab_size;
double cs = hg->cell_size;
double ics = hg->_inv_cell_size;
int64_t w = hg->width;
int64_t h = hg->height;
int64_t d = hg->depth;
double radius_sq = radius * radius;
uint32_t n_pts_per_thread = n_query_pts;
uint32_t total_num_neighbors = 0;
uint32_t num_neighbors_per_thread[MAX_THREAD_COUNT] = {0};
uint32_t num_threads = hg->_num_threads;
assert( num_threads <= MAX_THREAD_COUNT );
#if defined(_OPENMP)
#pragma omp parallel if (!hg->_dont_use_omp)
{
if( n_query_pts < num_threads ) { num_threads = n_query_pts; }
n_pts_per_thread = ceilf((float)n_query_pts / num_threads);
uint32_t thread_idx = omp_get_thread_num();
#else
for( uint32_t thread_idx = 0; thread_idx < num_threads; ++thread_idx )
{
#endif
if( thread_idx < num_threads )
{
uint32_t low_lim = thread_idx * n_pts_per_thread;
uint32_t high_lim = MSH_HG_MIN((thread_idx + 1) * n_pts_per_thread, n_query_pts);
uint32_t cur_n_pts = high_lim - low_lim;
float* query_pt = hg_sd->query_pts + low_lim * hg->_pts_dim;
size_t* n_neighbors = hg_sd->n_neighbors ? (hg_sd->n_neighbors + low_lim) : NULL;
float* dists_sq = hg_sd->distances_sq + (low_lim * row_size);
int32_t* indices = hg_sd->indices + (low_lim * row_size);
int32_t bin_indices[ MAX_BIN_COUNT ];
float bin_dists_sq[ MAX_BIN_COUNT ];
msh_hash_grid_dist_storage_t storage;
for( uint32_t pt_idx = 0; pt_idx < cur_n_pts; ++pt_idx )
{
// Prep the storage for the next point
msh_hash_grid_dist_storage_init( &storage, row_size, dists_sq, indices );
// Normalize query pt with respect to grid
msh_hg_v3_t q;
if( hg->_pts_dim == 2 )
{
q = (msh_hg_v3_t) { query_pt[0] - hg->min_pt.x,
query_pt[1] - hg->min_pt.y,
0.0 };
}
else
{
q = (msh_hg_v3_t) { query_pt[0] - hg->min_pt.x,
query_pt[1] - hg->min_pt.y,
query_pt[2] - hg->min_pt.z };
}
// Get base bin idx for query pt
int64_t ix = (int64_t)( q.x * ics );
int64_t iy = (int64_t)( q.y * ics );
int64_t iz = (int64_t)( q.z * ics );
// Decide where to look
int64_t px = (int64_t)( (q.x + radius) * ics );
int64_t nx = (int64_t)( (q.x - radius) * ics );
int64_t opx = px - ix;
int64_t onx = nx - ix;
int64_t py = (int64_t)( (q.y + radius) * ics );
int64_t ny = (int64_t)( (q.y - radius) * ics );
int64_t opy = py - iy;
int64_t ony = ny - iy;
int64_t pz = (int64_t)( (q.z + radius) * ics );
int64_t nz = (int64_t)( (q.z - radius) * ics );
int64_t opz = pz - iz;
int64_t onz = nz - iz;
uint32_t n_visited_bins = 0;
float dx, dy, dz;
int64_t cx, cy, cz;
for( int64_t oz = onz; oz <= opz; ++oz )
{
cz = (int64_t)iz + oz;
if( cz < 0 || cz >= d ) { continue; }
uint64_t idx_z = cz * slab_size;
if( oz < 0 ) { dz = q.z - (cz + 1) * cs; }
else if( oz > 0 ) { dz = cz * cs - q.z; }
else { dz = 0.0f; }
for( int64_t oy = ony; oy <= opy; ++oy )
{
cy = iy + oy;
if( cy < 0 || cy >= h ) { continue; }
uint64_t idx_y = cy * w;
if( oy < 0 ) { dy = q.y - (cy + 1) * cs; }
else if( oy > 0 ) { dy = cy * cs - q.y; }
else { dy = 0.0f; }
for( int64_t ox = onx; ox <= opx; ++ox )
{
cx = ix + ox;
if( cx < 0 || cx >= w ) { continue; }
// assert( n_visited_bins < MAX_BIN_COUNT );
if( n_visited_bins >= MAX_BIN_COUNT ) { goto msh_hash_grid_lbl__find_neighbors; }
bin_indices[n_visited_bins] = idx_z + idx_y + cx;
if( ox < 0 ) { dx = q.x - (cx + 1) * cs; }
else if( ox > 0 ) { dx = cx * cs - q.x; }
else { dx = 0.0f; }
bin_dists_sq[n_visited_bins] = dz * dz + dy * dy + dx * dx;
n_visited_bins++;
}
}
}
msh_hash_grid_lbl__find_neighbors:
msh_hash_grid__sort( bin_dists_sq, bin_indices, n_visited_bins );
for( uint32_t i = 0; i < n_visited_bins; ++i )
{
msh_hash_grid__find_neighbors_in_bin( hg, bin_indices[i], radius_sq, query_pt, &storage );
if( storage.len >= row_size &&
storage.max_dist <= bin_dists_sq[i] )
{
break;
}
}
if( hg_sd->sort ) { msh_hash_grid__sort( dists_sq, indices, storage.len ); }
if( n_neighbors ) { (*n_neighbors++) = storage.len; }
num_neighbors_per_thread[thread_idx] += storage.len;
// Advance pointers
dists_sq += row_size;
indices += row_size;
query_pt += hg->_pts_dim;
}
}
}
for( uint32_t i = 0 ; i < num_threads; ++i )
{
total_num_neighbors += num_neighbors_per_thread[i];
}
return total_num_neighbors;
}
MSH_HG_INLINE void
msh_hash_grid__add_bin_contents( const msh_hash_grid_t* hg, const uint64_t bin_idx,
const float* pt, msh_hash_grid_dist_storage_t* s )
{
uint64_t* bin_table_idx = msh_hg_map_get( hg->bin_table, bin_idx );
if( !bin_table_idx ) { return; }
msh_hg__bin_info_t bi = hg->offsets[*bin_table_idx];
int n_pts = bi.length;
const msh_hg_v3i_t* data = &hg->data_buffer[bi.offset];
for( int32_t i = 0; i < n_pts; ++i )
{
msh_hg_v3_t v;
if( hg->_pts_dim == 2 )
{
v = (msh_hg_v3_t){ data[i].x - pt[0], data[i].y - pt[1], 0.0 };
}
else
{
v = (msh_hg_v3_t){ data[i].x - pt[0], data[i].y - pt[1], data[i].z - pt[2] };
}
float dist_sq = v.x * v.x + v.y * v.y + v.z * v.z;
msh_hash_grid_dist_storage_push( s, dist_sq, data[i].i );
}
}
size_t msh_hash_grid_knn_search( const msh_hash_grid_t* hg,
msh_hash_grid_search_desc_t* hg_sd )
{
assert( hg_sd->query_pts );
assert( hg_sd->distances_sq );
assert( hg_sd->indices );
assert( hg_sd->n_query_pts > 0 );
assert( hg_sd->max_n_neigh > 0 );
assert( hg_sd->k > 0 );
// Unpack the some useful data from structs
enum { MAX_BIN_COUNT = 128, MAX_THREAD_COUNT = 128 };
uint32_t n_query_pts = hg_sd->n_query_pts;
uint32_t k = hg_sd->k;
uint64_t slab_size = hg->_slab_size;
int8_t sort = hg_sd->sort;
float cs = hg->cell_size;
int64_t w = hg->width;
int64_t h = hg->height;
int64_t d = hg->depth;
uint32_t n_pts_per_thread = n_query_pts;
uint32_t total_num_neighbors = 0;
uint32_t num_neighbors_per_thread[MAX_THREAD_COUNT] = {0};
uint32_t num_threads = hg->_num_threads;
assert( num_threads <= MAX_THREAD_COUNT );
#if defined(_OPENMP)
#pragma omp parallel if (!hg->_dont_use_omp)
{
if( n_query_pts < num_threads ) { num_threads = n_query_pts; }
uint32_t thread_idx = omp_get_thread_num();
#else
for( uint32_t thread_idx = 0; thread_idx < num_threads; ++thread_idx )
{
#endif
if( thread_idx < num_threads )
{
uint32_t low_lim = thread_idx * n_pts_per_thread;
uint32_t high_lim = MSH_HG_MIN((thread_idx + 1) * n_pts_per_thread, n_query_pts);
uint32_t cur_n_pts = high_lim - low_lim;
float *query_pt = hg_sd->query_pts + low_lim * hg->_pts_dim;
size_t* n_neighbors = hg_sd->n_neighbors ? (hg_sd->n_neighbors + low_lim) : NULL;
float* dists_sq = hg_sd->distances_sq + (low_lim * k);
int32_t* indices = hg_sd->indices + (low_lim * k);
int32_t bin_indices[ MAX_BIN_COUNT ];
msh_hash_grid_dist_storage_t storage;
for( uint32_t pt_idx = 0; pt_idx < cur_n_pts; ++pt_idx )
{
// Prep the storage for the next point
msh_hash_grid_dist_storage_init( &storage, k, dists_sq, indices );
// Normalize query pt with respect to grid
float dx, dy, dz;
int64_t cx, cy, cz;
int32_t layer = 0;
int8_t should_break = 0;
msh_hg_v3_t pt_prime;
if( hg->_pts_dim == 2 )
{
pt_prime = (msh_hg_v3_t) { query_pt[0] - hg->min_pt.x,
query_pt[1] - hg->min_pt.y,
0.0 };
}
else
{
pt_prime = (msh_hg_v3_t) { query_pt[0] - hg->min_pt.x,
query_pt[1] - hg->min_pt.y,
query_pt[2] - hg->min_pt.z };
}
// get base bin for query
uint64_t ix = (uint64_t)( (pt_prime.x) * hg->_inv_cell_size );
uint64_t iy = (uint64_t)( (pt_prime.y) * hg->_inv_cell_size );
uint64_t iz = (uint64_t)( (pt_prime.z) * hg->_inv_cell_size );
while( true )
{
int32_t inc_x = 1;
uint32_t n_visited_bins = 0;
for( int64_t oz = -layer; oz <= layer; oz++ )
{
cz = iz + oz;
if( cz < 0 || cz >= d ) continue;
uint64_t idx_z = cz * slab_size;
if( oz < 0 ) { dz = pt_prime.z - (cz + 1) * cs; }
else if( oz > 0 ) { dz = cz * cs - pt_prime.z; }
else { dz = 0.0f; }
for( int64_t oy = -layer; oy <= layer; oy++ )
{
cy = iy + oy;
if( cy < 0 || cy >= h ) continue;
uint64_t idx_y = cy * w;
if( oy < 0 ) { dy = pt_prime.y - (cy + 1) * cs; }
else if( oy > 0 ) { dy = cy * cs - pt_prime.y; }
else { dy = 0.0f; }
if( abs(oy) != layer && abs(oz) != layer ) { inc_x = 2 * layer; }
else { inc_x = 1; }
for( int64_t ox = -layer; ox <= layer; ox += inc_x )
{
cx = ix + ox;
if( cx < 0 || cx >= w ) continue;
if( ox < 0 ) { dx = pt_prime.x - (cx + 1) * cs; }
else if( ox > 0 ) { dx = cx * cs - pt_prime.x; }
else { dx = 0.0f; }
float dist_sq = dz * dz + dy * dy + dx * dx;
if( storage.len >= k &&
dist_sq > storage.max_dist ) { continue; }
assert( n_visited_bins < MAX_BIN_COUNT );
bin_indices[n_visited_bins] = idx_z + idx_y + cx;
n_visited_bins++;
}
}
}
for( uint32_t bin_idx = 0; bin_idx < n_visited_bins; ++bin_idx )
{
msh_hash_grid__add_bin_contents( hg, bin_indices[bin_idx], query_pt, &storage );
}
layer++;
if( should_break ) { break; }
if( storage.len >= k ) { should_break = true; }
}
if( n_neighbors ) { (*n_neighbors++) = storage.len; }
num_neighbors_per_thread[thread_idx] += storage.len;
if( sort ) { msh_hash_grid__sort( dists_sq, indices, storage.len ); }
// Advance pointers
dists_sq += k;
indices += k;
query_pt += hg->_pts_dim;
}
}
}
for( uint32_t i = 0 ; i < num_threads; ++i )
{
total_num_neighbors += num_neighbors_per_thread[i];
}
return total_num_neighbors;
}
////////////////////////////////////////////////////////////////////////////////////////////////////
// msh_array / msh_hg_map implementation
////////////////////////////////////////////////////////////////////////////////////////////////////
void*
msh_hg__array_grow(const void *array, size_t new_len, size_t elem_size) {
size_t old_cap = msh_hg_array_cap( array );
size_t new_cap = (size_t)msh_hg_array__grow_formula( old_cap );
new_cap = (size_t)MSH_HG_MAX( new_cap, MSH_HG_MAX(new_len, 16) );
size_t new_size = sizeof(msh_hg_array_hdr_t) + new_cap * elem_size;
msh_hg_array_hdr_t *new_hdr = NULL;
if( array ) {
new_hdr = (msh_hg_array_hdr_t*)MSH_HG_REALLOC( msh_hg_array__hdr( array ), new_size );
} else {
new_hdr = (msh_hg_array_hdr_t*)MSH_HG_MALLOC( new_size );
new_hdr->len = 0;
}
new_hdr->cap = new_cap;
return (void*)((char*)new_hdr + sizeof(msh_hg_array_hdr_t));
}
MSH_HG_INLINE uint64_t
msh_hg_hash_uint64(uint64_t x)
{
x *= 0xff51afd7ed558ccd;
x ^= x >> 32;
return x;
}
size_t
msh_hg_map__pow2ceil( uint32_t v )
{
--v;
v |= v >> 1;
v |= v >> 2;
v |= v >> 4;
v |= v >> 8;
v |= v >> 16;
++v;
v += ( v == 0 );
return v;
}
void
msh_hg_map_init( msh_hg_map_t* map, uint32_t cap )
{
assert( !map->keys && !map->vals );
cap = msh_hg_map__pow2ceil( cap );
map->keys = (uint64_t*)MSH_HG_CALLOC( cap, sizeof(uint64_t) );
map->vals = (uint64_t*)MSH_HG_MALLOC( cap * sizeof(uint64_t) );
map->_len = 0;
map->_cap = cap;
}
void
msh_hg_map__grow( msh_hg_map_t *map, size_t new_cap) {
new_cap = msh_max( new_cap, 16 );
msh_hg_map_t new_map;
new_map.keys = (uint64_t*)MSH_HG_CALLOC( new_cap, sizeof(uint64_t) );
new_map.vals = (uint64_t*)MSH_HG_MALLOC( new_cap * sizeof(uint64_t) );
new_map._len = 0;
new_map._cap = new_cap;
for( size_t i = 0; i < map->_cap; i++ )
{
if( map->keys[i] )
{
msh_hg_map_insert( &new_map, map->keys[i] - 1, map->vals[i] );
}
}
MSH_HG_FREE( (void *)map->keys );
MSH_HG_FREE( map->vals );
*map = new_map;
}
size_t
msh_hg_map_len( msh_hg_map_t* map )
{
return map->_len;
}
size_t
msh_hg_map_cap( msh_hg_map_t* map )
{
return map->_cap;
}
void
msh_hg_map_insert( msh_hg_map_t* map, uint64_t key, uint64_t val )
{
key += 1;
if( 2 * map->_len >= map->_cap) { msh_hg_map__grow( map, 2 * map->_cap ); }
assert( 2 * map->_len < map->_cap );
size_t i = (size_t)key;
for (;;)
{
i &= map->_cap - 1;
if( !map->keys[i] )
{
map->_len++;
map->keys[i] = key;
map->vals[i] = val;
return;
}
else if( map->keys[i] == key )
{
map->vals[i] = val;
return;
}
i++;
}
}
uint64_t*
msh_hg_map_get( const msh_hg_map_t* map, uint64_t key )
{
if (map->_len == 0) { return NULL; }
key += 1;
size_t i = (size_t)key;
assert(map->_len < map->_cap);
for (;;) {
i &= map->_cap - 1;
if( map->keys[i] == key )
{
return &map->vals[i];
}
else if( !map->keys[i] )
{
return NULL;
}
i++;
}
}
void
msh_hg_map_free( msh_hg_map_t* map )
{
MSH_HG_FREE( map->keys );
MSH_HG_FREE( map->vals );
map->_cap = 0;
map->_len = 0;
}
#endif /* MSH_HASH_GRID_IMPLEMENTATION */
/*
------------------------------------------------------------------------------
This software is available under 2 licenses - you may choose the one you like.
------------------------------------------------------------------------------
ALTERNATIVE A - MIT License
Copyright (c) 2018 Maciej Halber
Permission is hereby granted, free of charge, to any person obtaining a copy of
this software and associated documentation files (the "Software"), to deal in
the Software without restriction, including without limitation the rights to
use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies
of the Software, and to permit persons to whom the Software is furnished to do
so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
------------------------------------------------------------------------------
ALTERNATIVE B - Public Domain (www.unlicense.org)
This is free and unencumbered software released into the public domain.
Anyone is free to copy, modify, publish, use, compile, sell, or distribute this
software, either in source code form or as a compiled binary, for any purpose,
commercial or non-commercial, and by any means.
In jurisdictions that recognize copyright laws, the author or authors of this
software dedicate any and all copyright interest in the software to the public
domain. We make this dedication for the benefit of the public at large and to
the detriment of our heirs and successors. We intend this dedication to be an
overt act of relinquishment in perpetuity of all present and future rights to
this software under copyright law.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN
ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION
WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
------------------------------------------------------------------------------
*/ |
traverse_lazy.h | #ifndef traverse_lazy_h
#define traverse_lazy_h
#include "exafmm.h"
#include "kernel.h"
namespace exafmm {
//! Recursive call to post-order tree traversal for upward pass
void upwardPass(Cell * Ci) {
for (Cell * Cj=Ci->child; Cj!=Ci->child+Ci->numChilds; Cj++) {
#pragma omp task untied if(Cj->numBodies > 100)
upwardPass(Cj);
}
#pragma omp taskwait
Ci->M.resize(NTERM, 0.0);
Ci->L.resize(NTERM, 0.0);
if(Ci->numChilds==0) P2M(Ci);
M2M(Ci);
}
//! Upward pass interface
void upwardPass(Cells & cells) {
#pragma omp parallel
#pragma omp single nowait
upwardPass(&cells[0]);
}
//! Recursive call to dual tree traversal for list construction
void getList(Cell * Ci, Cell * Cj) {
vec3 dX = Ci->X - Cj->X;
real_t R2 = norm(dX) * THETA * THETA;
if (R2 > (Ci->R + Cj->R) * (Ci->R + Cj->R)) {
Ci->listM2L.push_back(Cj);
} else if (Ci->numChilds == 0 && Cj->numChilds == 0) {
Ci->listP2P.push_back(Cj);
} else if (Cj->numChilds == 0 || (Ci->R >= Cj->R && Ci->numChilds != 0)) {
for (Cell * ci=Ci->child; ci!=Ci->child+Ci->numChilds; ci++) {
getList(ci, Cj);
}
} else {
for (Cell * cj=Cj->child; cj!=Cj->child+Cj->numChilds; cj++) {
getList(Ci, cj);
}
}
}
//! Evaluate M2L, P2P kernels
void evaluate(Cells & cells) {
#pragma omp parallel for schedule(dynamic)
for (size_t i=0; i<cells.size(); i++) {
for (size_t j=0; j<cells[i].listM2L.size(); j++) {
M2L(&cells[i],cells[i].listM2L[j]);
}
for (size_t j=0; j<cells[i].listP2P.size(); j++) {
P2P(&cells[i],cells[i].listP2P[j]);
}
}
}
//! Horizontal pass interface
void horizontalPass(Cells & icells, Cells & jcells) {
getList(&icells[0], &jcells[0]);
evaluate(icells);
}
//! Recursive call to pre-order tree traversal for downward pass
void downwardPass(Cell * Cj) {
L2L(Cj);
if (Cj->numChilds==0) L2P(Cj);
for (Cell * Ci=Cj->child; Ci!=Cj->child+Cj->numChilds; Ci++) {
#pragma omp task untied if(Ci->numBodies > 100)
downwardPass(Ci);
}
#pragma omp taskwait
}
//! Downward pass interface
void downwardPass(Cells & cells) {
#pragma omp parallel
#pragma omp single nowait
downwardPass(&cells[0]);
}
//! Direct summation
void direct(Bodies & bodies, Bodies & jbodies) {
Cells cells(2);
Cell * Ci = &cells[0];
Cell * Cj = &cells[1];
Ci->body = &bodies[0];
Ci->numBodies = bodies.size();
Cj->body = &jbodies[0];
Cj->numBodies = jbodies.size();
P2P(Ci, Cj);
}
}
#endif
|
util.c | #include "baryakhtar_clib.h"
void compute_laplace_m(double *m, double *field, double *Ms, double dx,
double dy, double dz, int nx, int ny, int nz) {
int nyz = ny * nz;
int n1 = nx * nyz, n2 = 2 * n1;
double ax = 1.0 / (dx * dx), ay = 1.0 / (dy * dy), az = 1.0 / (dz * dz);
#pragma omp parallel for
for (int i = 0; i < nx; i++) {
for (int j = 0; j < ny; j++) {
for (int k = 0; k < nz; k++) {
int id = 0;
int index = nyz * i + nz * j + k;
double fx = 0, fy = 0, fz = 0;
if (Ms[index] == 0.0) {
field[index] = 0;
field[index + n1] = 0;
field[index + n2] = 0;
continue;
}
if (k > 0) {
id = index - 1;
if (Ms[id] > 0) {
fx += az * (m[id] - m[index]);
fy += az * (m[id + n1] - m[index + n1]);
fz += az * (m[id + n2] - m[index + n2]);
}
}
if (j > 0) {
id = index - nz;
if (Ms[id] > 0) {
fx += ay * (m[id] - m[index]);
fy += ay * (m[id + n1] - m[index + n1]);
fz += ay * (m[id + n2] - m[index + n2]);
}
}
if (i > 0) {
id = index - nyz;
if (Ms[id] > 0) {
fx += ax * (m[id] - m[index]);
fy += ax * (m[id + n1] - m[index + n1]);
fz += ax * (m[id + n2] - m[index + n2]);
}
}
if (i < nx - 1) {
id = index + nyz;
if (Ms[id] > 0) {
fx += ax * (m[id] - m[index]);
fy += ax * (m[id + n1] - m[index + n1]);
fz += ax * (m[id + n2] - m[index + n2]);
}
}
if (j < ny - 1) {
id = index + nz;
if (Ms[id] > 0) {
fx += ay * (m[id] - m[index]);
fy += ay * (m[id + n1] - m[index + n1]);
fz += ay * (m[id + n2] - m[index + n2]);
}
}
if (k < nz - 1) {
id = index + 1;
if (Ms[id] > 0) {
fx += az * (m[id] - m[index]);
fy += az * (m[id + n1] - m[index + n1]);
fz += az * (m[id + n2] - m[index + n2]);
}
}
field[index] = fx;
field[index + n1] = fy;
field[index + n2] = fz;
}
}
}
}
void compute_relaxation_field_c(double *m, double *field, double *Ms,
double chi_inv, int n) {
#pragma omp parallel for
for (int i = 0; i < n; i++) {
int j = i + n;
int k = j + n;
double relax = Ms[i] * chi_inv / 2.0;
double mm = m[i] * m[i] + m[j] * m[j] + m[k] * m[k];
field[i] = relax * (1 - mm) * m[i];
field[j] = relax * (1 - mm) * m[j];
field[k] = relax * (1 - mm) * m[k];
}
}
void compute_perp_field_c(double *m, double *field, double *field_p, int n) {
#pragma omp parallel for
for (int i = 0; i < n; i++) {
int j = i + n;
int k = j + n;
double mm = m[i] * m[i] + m[j] * m[j] + m[k] * m[k];
double hm = field[i] * m[i] + field[j] * m[j] + field[k] * m[k];
field_p[i] = field[i] - hm * m[i] / mm;
field_p[j] = field[j] - hm * m[j] / mm;
field_p[k] = field[k] - hm * m[k] / mm;
}
}
|
stencil2d_cpu_omp_kernel.c | #include <homp.h>
#include "stencil2d.h"
void stencil2d_cpu_omp_wrapper(omp_offloading_t *off, int start, int len, long n, long m, int u_dimX, int u_dimY, REAL *u, REAL *uold, int radius, int coeff_dimX, REAL *coeff)
{
#if CORRECTNESS_CHECK
BEGIN_SERIALIZED_PRINTF(off->devseqid);
printf("udev: dev: %d, %dX%d\n", off->devseqid, n, m);
print_array_dev("udev", off->devseqid, "u",(REAL*)u, n, m);
printf("uolddev: dev: %d, %dX%d\n", off->devseqid, uold_0_length, uold_1_length);
print_array_dev("uolddev", off->devseqid, "uold",(REAL*)uold, uold_0_length, uold_1_length);
printf("i_start: %d, j_start: %d, n: %d, m: %d, uold_0_offset: %d, uold_1_offset: %d\n", i_start, j_start, n, m, uold_0_offset, uold_1_offset);
END_SERIALIZED_PRINTF();
#endif
int count = 4*radius+1;
#ifdef SQUARE_SETNCIL
count = coeff_dimX * coeff_dimX;
#endif
int ix, iy, ir;
#pragma omp parallel for private(ix, iy, ir)
for (ix = start; ix < start+len; ix++) {
REAL * temp_u = &u[(ix+radius)*u_dimY+radius];
REAL * temp_uold = &uold[(ix+radius)*u_dimY+radius];
#pragma simd
for (iy = 0; iy < m; iy++) {
// if (off->devseqid == 0)printf("dev: %d, [%d][%d]:%f\n", off->devseqid, ix, iy, temp_u[0]);
REAL result = temp_uold[0] * coeff[0];
/* 2/4 way loop unrolling */
for (ir = 1; ir <= radius; ir++) {
result += coeff[ir] * temp_uold[ir]; //horizontal right
result += coeff[-ir]* temp_uold[-ir]; // horizontal left
result += coeff[-ir*coeff_dimX] * temp_uold[-ir * u_dimY]; //vertical up
result += coeff[ir*coeff_dimX] * temp_uold[ir * u_dimY]; // vertical bottom
#ifdef SQUARE_SETNCIL
result += coeff[-ir*coeff_dimX-ir] * temp_uold[-ir * u_dimY-ir] // left upper corner
result += coeff[-ir*coeff_dimX+ir] * temp_uold[-ir * u_dimY+ir] // right upper corner
result += coeff[ir*coeff_dimX-ir] * temp_uold[ir * u_dimY]-ir] // left bottom corner
result += coeff[ir*coeff_dimX+ir] * temp_uold[ir * u_dimY]+ir] // right bottom corner
#endif
}
*temp_u = result/count;
temp_u++;
temp_uold++;
}
}
} |
omp_masked_filter.c | <ompts:test>
<ompts:testdescription>Test which checks the filter clause of the omp masked directive by counting up a variable and checking the executing thread of the masked section.</ompts:testdescription>
<ompts:ompversion>5.1</ompts:ompversion>
<ompts:directive>omp master</ompts:directive>
<ompts:dependences>omp critical</ompts:dependences>
<ompts:testcode>
#include <stdio.h>
#include "omp_testsuite.h"
int <ompts:testcode:functionname>omp_masked_filter</ompts:testcode:functionname>(FILE * logFile)
{
<ompts:orphan:vars>
int nthreads;
int executing_thread;
</ompts:orphan:vars>
nthreads = 0;
executing_thread = -1;
#pragma omp parallel
{
<ompts:orphan>
#pragma omp masked <ompts:check>filter(1)</ompts:check>
{
#pragma omp critical
{
nthreads++;
}
executing_thread = omp_get_thread_num ();
} /* end of master*/
</ompts:orphan>
} /* end of parallel*/
return ((nthreads == 1) && (executing_thread == 1));
}
</ompts:testcode>
</ompts:test>
|
APOP.h | /*
* APOP.h
*
* Created on: Jul 20, 2016
* Author: mason
*/
#ifndef APOP_H_
#define APOP_H_
#include "MyLib.h"
#include "Alphabet.h"
#include "Node.h"
#include "Graph.h"
#include "APParam.h"
// for sparse features
struct APParams {
public:
APParam W;
PAlphabet elems;
int nVSize;
int nDim;
public:
APParams() {
nVSize = 0;
nDim = 0;
elems = NULL;
}
inline void exportAdaParams(ModelUpdate& ada) {
ada.addParam(&W);
}
inline void initialWeights(int nOSize) {
if (nVSize == 0) {
std::cout << "please check the alphabet" << std::endl;
return;
}
nDim = nOSize;
W.initial(nOSize, nVSize);
}
//random initialization
inline void initial(PAlphabet alpha, int nOSize, int base = 1) {
assert(base >= 1);
elems = alpha;
nVSize = base * elems->size();
if (base > 1) {
std::cout << "nVSize: " << nVSize << ", Alpha Size = " << elems->size() << ", Require more Alpha."<< std::endl;
elems->set_fixed_flag(false);
}
initialWeights(nOSize);
}
inline int getFeatureId(const string& strFeat) {
int idx = elems->from_string(strFeat);
if(!elems->m_b_fixed && elems->m_size >= nVSize) {
std::cout << "AP Alphabet stopped collecting features" << std::endl;
elems->set_fixed_flag(true);
}
return idx;
}
};
//only implemented sparse linear node.
//non-linear transformations are not support,
class APNode : public Node {
public:
APParams* param;
vector<int> ins;
bool bTrain;
public:
APNode() : Node() {
ins.clear();
param = NULL;
node_type = "apnode";
}
inline void setParam(APParams* paramInit) {
param = paramInit;
}
inline void clearValue() {
Node::clearValue();
ins.clear();
bTrain = false;
}
public:
//notice the output
void forward(Graph *cg, const vector<string>& x) {
int featId;
int featSize = x.size();
for (int idx = 0; idx < featSize; idx++) {
featId = param->getFeatureId(x[idx]);
if (featId >= 0) {
ins.push_back(featId);
}
}
degree = 0;
cg->addNode(this);
bTrain = cg->train;
}
public:
inline void compute() {
param->W.value(ins, val, bTrain);
}
//no output losses
void backward() {
//assert(param != NULL);
param->W.loss(ins, loss);
}
public:
inline PExecute generate(bool bTrain, dtype cur_drop_factor);
// better to rewrite for deep understanding
inline bool typeEqual(PNode other) {
bool result = Node::typeEqual(other);
if (!result) return false;
APNode* conv_other = (APNode*)other;
if (param != conv_other->param) {
return false;
}
return true;
}
};
class APExecute :public Execute {
public:
inline void forward() {
int count = batch.size();
//#pragma omp parallel for
for (int idx = 0; idx < count; idx++) {
batch[idx]->compute();
batch[idx]->forward_drop(bTrain, drop_factor);
}
}
inline void backward() {
int count = batch.size();
//#pragma omp parallel for
for (int idx = 0; idx < count; idx++) {
batch[idx]->backward_drop();
batch[idx]->backward();
}
}
};
inline PExecute APNode::generate(bool bTrain, dtype cur_drop_factor) {
APExecute* exec = new APExecute();
exec->batch.push_back(this);
exec->bTrain = bTrain;
exec->drop_factor = cur_drop_factor;
return exec;
}
#endif /* APOP_H_ */
|
sectionsConstruct.c | int main() {
int x = 10;
#pragma omp parallel
{
int localX;
#pragma omp sections
{
#pragma omp section
{
localX = 10;
}
#pragma omp section
{
localX = 5;
}
#pragma omp section
{
localX = 2;
}
}
}
x = 20;
}
|
dcraw.c | #ifndef IGNOREALL
/*
dcraw.c -- Dave Coffin's raw photo decoder
Copyright 1997-2015 by Dave Coffin, dcoffin a cybercom o net
This is a command-line ANSI C program to convert raw photos from
any digital camera on any computer running any operating system.
No license is required to download and use dcraw.c. However,
to lawfully redistribute dcraw, you must either (a) offer, at
no extra charge, full source code* for all executable files
containing RESTRICTED functions, (b) distribute this code under
the GPL Version 2 or later, (c) remove all RESTRICTED functions,
re-implement them, or copy them from an earlier, unrestricted
Revision of dcraw.c, or (d) purchase a license from the author.
The functions that process Foveon images have been RESTRICTED
since Revision 1.237. All other code remains free for all uses.
*If you have not modified dcraw.c in any way, a link to my
homepage qualifies as "full source code".
$Revision: 1.44 $
$Date: 2015/03/08 19:19:51 $
make -f Makefile.devel
git commit -a -m "v.102"
git push
*/
/*@out DEFINES
#ifndef USE_JPEG
#define NO_JPEG
#endif
#ifndef USE_JASPER
#define NO_JASPER
#endif
@end DEFINES */
#define NO_LCMS
#define DCRAW_VERBOSE
//@out DEFINES
#define DCRAW_VERSION "9.24"
#ifndef _GNU_SOURCE
#define _GNU_SOURCE
#endif
#define _USE_MATH_DEFINES
#include <ctype.h>
#include <errno.h>
#include <fcntl.h>
#include <float.h>
#include <limits.h>
#include <math.h>
#include <setjmp.h>
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <time.h>
#include <sys/types.h>
//@end DEFINES
#if defined(DJGPP) || defined(__MINGW32__)
#define fseeko fseek
#define ftello ftell
#else
#define fgetc getc_unlocked
#endif
//@out DEFINES
#ifdef __CYGWIN__
#include <io.h>
#endif
#ifdef WIN32
#include <sys/utime.h>
#include <winsock2.h>
#pragma comment(lib, "ws2_32.lib")
#define snprintf _snprintf
#define strcasecmp stricmp
#define strncasecmp strnicmp
//@end DEFINES
typedef __int64 INT64;
typedef unsigned __int64 UINT64;
//@out DEFINES
#else
#include <unistd.h>
#include <utime.h>
#include <netinet/in.h>
typedef long long INT64;
typedef unsigned long long UINT64;
#endif
#ifdef NODEPS
#define NO_JASPER
#define NO_JPEG
#define NO_LCMS
#endif
#ifndef NO_JASPER
#include <jasper/jasper.h> /* Decode Red camera movies */
#endif
#ifndef NO_JPEG
#include <jpeglib.h> /* Decode compressed Kodak DC120 photos */
#endif /* and Adobe Lossy DNGs */
#ifndef NO_LCMS
#ifdef USE_LCMS
#include <lcms.h> /* Support color profiles */
#else
#include <lcms2.h> /* Support color profiles */
#endif
#endif
#ifdef LOCALEDIR
#include <libintl.h>
#define _(String) gettext(String)
#else
#define _(String) (String)
#endif
#ifdef LJPEG_DECODE
#error Please compile dcraw.c by itself.
#error Do not link it with ljpeg_decode.
#endif
#ifndef LONG_BIT
#define LONG_BIT (8 * sizeof (long))
#endif
//@end DEFINES
#if !defined(uchar)
#define uchar unsigned char
#endif
#if !defined(ushort)
#define ushort unsigned short
#endif
/*
All global variables are defined here, and all functions that
access them are prefixed with "CLASS". Note that a thread-safe
C++ class cannot have non-const static local variables.
*/
FILE *ifp, *ofp;
short order;
const char *ifname;
char *meta_data, xtrans[6][6], xtrans_abs[6][6];
char cdesc[5], desc[512], make[64], model[64], model2[64], artist[64],software[64];
float flash_used, canon_ev, iso_speed, shutter, aperture, focal_len;
time_t timestamp;
off_t strip_offset, data_offset;
off_t thumb_offset, meta_offset, profile_offset;
unsigned shot_order, kodak_cbpp, exif_cfa, unique_id;
unsigned thumb_length, meta_length, profile_length;
unsigned thumb_misc, *oprof, fuji_layout, shot_select=0, multi_out=0;
unsigned tiff_nifds, tiff_samples, tiff_bps, tiff_compress;
unsigned black, maximum, mix_green, raw_color, zero_is_bad;
unsigned zero_after_ff, is_raw, dng_version, is_foveon, data_error;
unsigned tile_width, tile_length, gpsdata[32], load_flags;
unsigned flip, tiff_flip, filters, colors;
ushort raw_height, raw_width, height, width, top_margin, left_margin;
ushort shrink, iheight, iwidth, fuji_width, thumb_width, thumb_height;
ushort *raw_image, (*image)[4], cblack[4102];
ushort white[8][8], curve[0x10000], cr2_slice[3], sraw_mul[4];
double pixel_aspect, aber[4]={1,1,1,1}, gamm[6]={ 0.45,4.5,0,0,0,0 };
float bright=1, user_mul[4]={0,0,0,0}, threshold=0;
int mask[8][4];
int half_size=0, four_color_rgb=0, document_mode=0, highlight=0;
int verbose=0, use_auto_wb=0, use_camera_wb=0, use_camera_matrix=1;
int output_color=1, output_bps=8, output_tiff=0, med_passes=0;
int no_auto_bright=0;
unsigned greybox[4] = { 0, 0, UINT_MAX, UINT_MAX };
float cam_mul[4], pre_mul[4], cmatrix[3][4], rgb_cam[3][4];
const double xyz_rgb[3][3] = { /* XYZ from RGB */
{ 0.412453, 0.357580, 0.180423 },
{ 0.212671, 0.715160, 0.072169 },
{ 0.019334, 0.119193, 0.950227 } };
const float d65_white[3] = { 0.950456, 1, 1.088754 };
int histogram[4][0x2000];
void (*write_thumb)(), (*write_fun)();
void (*load_raw)(), (*thumb_load_raw)();
jmp_buf failure;
struct decode {
struct decode *branch[2];
int leaf;
} first_decode[2048], *second_decode, *free_decode;
struct tiff_ifd {
int t_width, t_height, bps, comp, phint, offset, t_flip, samples, bytes;
int t_tile_width, t_tile_length;
} tiff_ifd[10];
struct ph1 {
int format, key_off, tag_21a;
int t_black, split_col, black_col, split_row, black_row;
float tag_210;
} ph1;
#define CLASS
//@out DEFINES
#define FORC(cnt) for (c=0; c < cnt; c++)
#define FORC3 FORC(3)
#define FORC4 FORC(4)
#define FORCC FORC(colors)
#define SQR(x) ((x)*(x))
#define ABS(x) (((int)(x) ^ ((int)(x) >> 31)) - ((int)(x) >> 31))
#define MIN(a,b) ((a) < (b) ? (a) : (b))
#define MAX(a,b) ((a) > (b) ? (a) : (b))
#define LIM(x,min,max) MAX(min,MIN(x,max))
#define ULIM(x,y,z) ((y) < (z) ? LIM(x,y,z) : LIM(x,z,y))
#define CLIP(x) LIM(x,0,65535)
#define SWAP(a,b) { a=a+b; b=a-b; a=a-b; }
#define my_swap(type, i, j) {type t = i; i = j; j = t;}
/*
In order to inline this calculation, I make the risky
assumption that all filter patterns can be described
by a repeating pattern of eight rows and two columns
Do not use the FC or BAYER macros with the Leaf CatchLight,
because its pattern is 16x16, not 2x8.
Return values are either 0/1/2/3 = G/M/C/Y or 0/1/2/3 = R/G1/B/G2
PowerShot 600 PowerShot A50 PowerShot Pro70 Pro90 & G1
0xe1e4e1e4: 0x1b4e4b1e: 0x1e4b4e1b: 0xb4b4b4b4:
0 1 2 3 4 5 0 1 2 3 4 5 0 1 2 3 4 5 0 1 2 3 4 5
0 G M G M G M 0 C Y C Y C Y 0 Y C Y C Y C 0 G M G M G M
1 C Y C Y C Y 1 M G M G M G 1 M G M G M G 1 Y C Y C Y C
2 M G M G M G 2 Y C Y C Y C 2 C Y C Y C Y
3 C Y C Y C Y 3 G M G M G M 3 G M G M G M
4 C Y C Y C Y 4 Y C Y C Y C
PowerShot A5 5 G M G M G M 5 G M G M G M
0x1e4e1e4e: 6 Y C Y C Y C 6 C Y C Y C Y
7 M G M G M G 7 M G M G M G
0 1 2 3 4 5
0 C Y C Y C Y
1 G M G M G M
2 C Y C Y C Y
3 M G M G M G
All RGB cameras use one of these Bayer grids:
0x16161616: 0x61616161: 0x49494949: 0x94949494:
0 1 2 3 4 5 0 1 2 3 4 5 0 1 2 3 4 5 0 1 2 3 4 5
0 B G B G B G 0 G R G R G R 0 G B G B G B 0 R G R G R G
1 G R G R G R 1 B G B G B G 1 R G R G R G 1 G B G B G B
2 B G B G B G 2 G R G R G R 2 G B G B G B 2 R G R G R G
3 G R G R G R 3 B G B G B G 3 R G R G R G 3 G B G B G B
*/
#define RAW(row,col) \
raw_image[(row)*raw_width+(col)]
//@end DEFINES
#define FC(row,col) \
(filters >> ((((row) << 1 & 14) + ((col) & 1)) << 1) & 3)
//@out DEFINES
#define BAYER(row,col) \
image[((row) >> shrink)*iwidth + ((col) >> shrink)][FC(row,col)]
#define BAYER2(row,col) \
image[((row) >> shrink)*iwidth + ((col) >> shrink)][fcol(row,col)]
//@end DEFINES
/* @out COMMON
#include <math.h>
#define CLASS LibRaw::
#include "libraw/libraw_types.h"
#define LIBRAW_LIBRARY_BUILD
#define LIBRAW_IO_REDEFINED
#include "libraw/libraw.h"
#include "internal/defines.h"
#include "internal/var_defines.h"
@end COMMON */
//@out COMMON
int CLASS fcol (int row, int col)
{
static const char filter[16][16] =
{ { 2,1,1,3,2,3,2,0,3,2,3,0,1,2,1,0 },
{ 0,3,0,2,0,1,3,1,0,1,1,2,0,3,3,2 },
{ 2,3,3,2,3,1,1,3,3,1,2,1,2,0,0,3 },
{ 0,1,0,1,0,2,0,2,2,0,3,0,1,3,2,1 },
{ 3,1,1,2,0,1,0,2,1,3,1,3,0,1,3,0 },
{ 2,0,0,3,3,2,3,1,2,0,2,0,3,2,2,1 },
{ 2,3,3,1,2,1,2,1,2,1,1,2,3,0,0,1 },
{ 1,0,0,2,3,0,0,3,0,3,0,3,2,1,2,3 },
{ 2,3,3,1,1,2,1,0,3,2,3,0,2,3,1,3 },
{ 1,0,2,0,3,0,3,2,0,1,1,2,0,1,0,2 },
{ 0,1,1,3,3,2,2,1,1,3,3,0,2,1,3,2 },
{ 2,3,2,0,0,1,3,0,2,0,1,2,3,0,1,0 },
{ 1,3,1,2,3,2,3,2,0,2,0,1,1,0,3,0 },
{ 0,2,0,3,1,0,0,1,1,3,3,2,3,2,2,1 },
{ 2,1,3,2,3,1,2,1,0,3,0,2,0,2,0,2 },
{ 0,3,1,0,0,2,0,3,2,1,3,1,1,3,1,3 } };
if (filters == 1) return filter[(row+top_margin)&15][(col+left_margin)&15];
if (filters == 9) return xtrans[(row+6) % 6][(col+6) % 6];
return FC(row,col);
}
#ifndef __GLIBC__
char *my_memmem (char *haystack, size_t haystacklen,
char *needle, size_t needlelen)
{
char *c;
for (c = haystack; c <= haystack + haystacklen - needlelen; c++)
if (!memcmp (c, needle, needlelen))
return c;
return 0;
}
#define memmem my_memmem
char *my_strcasestr (char *haystack, const char *needle)
{
char *c;
for (c = haystack; *c; c++)
if (!strncasecmp(c, needle, strlen(needle)))
return c;
return 0;
}
#define strcasestr my_strcasestr
#endif
//@end COMMON
void CLASS merror (void *ptr, const char *where)
{
if (ptr) return;
fprintf (stderr,_("%s: Out of memory in %s\n"), ifname, where);
longjmp (failure, 1);
}
void CLASS derror()
{
if (!data_error) {
fprintf (stderr, "%s: ", ifname);
if (feof(ifp))
fprintf (stderr,_("Unexpected end of file\n"));
else
fprintf (stderr,_("Corrupt data near 0x%llx\n"), (INT64) ftello(ifp));
}
data_error++;
}
//@out COMMON
ushort CLASS sget2 (uchar *s)
{
if (order == 0x4949) /* "II" means little-endian */
return s[0] | s[1] << 8;
else /* "MM" means big-endian */
return s[0] << 8 | s[1];
}
// DNG was written by:
#define CameraDNG 1
#define AdobeDNG 2
#ifdef LIBRAW_LIBRARY_BUILD
static ushort saneSonyCameraInfo(uchar a, uchar b, uchar c, uchar d, uchar e, uchar f){
if ((a >> 4) > 9) return 0;
else if ((a & 0x0f) > 9) return 0;
else if ((b >> 4) > 9) return 0;
else if ((b & 0x0f) > 9) return 0;
else if ((c >> 4) > 9) return 0;
else if ((c & 0x0f) > 9) return 0;
else if ((d >> 4) > 9) return 0;
else if ((d & 0x0f) > 9) return 0;
else if ((e >> 4) > 9) return 0;
else if ((e & 0x0f) > 9) return 0;
else if ((f >> 4) > 9) return 0;
else if ((f & 0x0f) > 9) return 0;
return 1;
}
static ushort bcd2dec(uchar data){
if ((data >> 4) > 9) return 0;
else if ((data & 0x0f) > 9) return 0;
else return (data >> 4) * 10 + (data & 0x0f);
}
static uchar SonySubstitution[257] = "\x00\x01\x32\xb1\x0a\x0e\x87\x28\x02\xcc\xca\xad\x1b\xdc\x08\xed\x64\x86\xf0\x4f\x8c\x6c\xb8\xcb\x69\xc4\x2c\x03\x97\xb6\x93\x7c\x14\xf3\xe2\x3e\x30\x8e\xd7\x60\x1c\xa1\xab\x37\xec\x75\xbe\x23\x15\x6a\x59\x3f\xd0\xb9\x96\xb5\x50\x27\x88\xe3\x81\x94\xe0\xc0\x04\x5c\xc6\xe8\x5f\x4b\x70\x38\x9f\x82\x80\x51\x2b\xc5\x45\x49\x9b\x21\x52\x53\x54\x85\x0b\x5d\x61\xda\x7b\x55\x26\x24\x07\x6e\x36\x5b\x47\xb7\xd9\x4a\xa2\xdf\xbf\x12\x25\xbc\x1e\x7f\x56\xea\x10\xe6\xcf\x67\x4d\x3c\x91\x83\xe1\x31\xb3\x6f\xf4\x05\x8a\x46\xc8\x18\x76\x68\xbd\xac\x92\x2a\x13\xe9\x0f\xa3\x7a\xdb\x3d\xd4\xe7\x3a\x1a\x57\xaf\x20\x42\xb2\x9e\xc3\x8b\xf2\xd5\xd3\xa4\x7e\x1f\x98\x9c\xee\x74\xa5\xa6\xa7\xd8\x5e\xb0\xb4\x34\xce\xa8\x79\x77\x5a\xc1\x89\xae\x9a\x11\x33\x9d\xf5\x39\x19\x65\x78\x16\x71\xd2\xa9\x44\x63\x40\x29\xba\xa0\x8f\xe4\xd6\x3b\x84\x0d\xc2\x4e\x58\xdd\x99\x22\x6b\xc9\xbb\x17\x06\xe5\x7d\x66\x43\x62\xf6\xcd\x35\x90\x2e\x41\x8d\x6d\xaa\x09\x73\x95\x0c\xf1\x1d\xde\x4c\x2f\x2d\xf7\xd1\x72\xeb\xef\x48\xc7\xf8\xf9\xfa\xfb\xfc\xfd\xfe\xff";
ushort CLASS sget2Rev(uchar *s) // specific to some Canon Makernotes fields, where they have endian in reverse
{
if (order == 0x4d4d) /* "II" means little-endian, and we reverse to "MM" - big endian */
return s[0] | s[1] << 8;
else /* "MM" means big-endian... */
return s[0] << 8 | s[1];
}
#endif
ushort CLASS get2()
{
uchar str[2] = { 0xff,0xff };
fread (str, 1, 2, ifp);
return sget2(str);
}
unsigned CLASS sget4 (uchar *s)
{
if (order == 0x4949)
return s[0] | s[1] << 8 | s[2] << 16 | s[3] << 24;
else
return s[0] << 24 | s[1] << 16 | s[2] << 8 | s[3];
}
#define sget4(s) sget4((uchar *)s)
unsigned CLASS get4()
{
uchar str[4] = { 0xff,0xff,0xff,0xff };
fread (str, 1, 4, ifp);
return sget4(str);
}
unsigned CLASS getint (int type)
{
return type == 3 ? get2() : get4();
}
float CLASS int_to_float (int i)
{
union { int i; float f; } u;
u.i = i;
return u.f;
}
double CLASS getreal (int type)
{
union { char c[8]; double d; } u,v;
int i, rev;
switch (type) {
case 3: return (unsigned short) get2();
case 4: return (unsigned int) get4();
case 5:
u.d = (unsigned int) get4();
v.d = (unsigned int)get4();
return u.d / (v.d ? v.d : 1);
case 8: return (signed short) get2();
case 9: return (signed int) get4();
case 10:
u.d = (signed int) get4();
v.d = (signed int)get4();
return u.d / (v.d?v.d:1);
case 11: return int_to_float (get4());
case 12:
rev = 7 * ((order == 0x4949) == (ntohs(0x1234) == 0x1234));
for (i=0; i < 8; i++)
u.c[i ^ rev] = fgetc(ifp);
return u.d;
default: return fgetc(ifp);
}
}
void CLASS read_shorts (ushort *pixel, int count)
{
if (fread (pixel, 2, count, ifp) < count) derror();
if ((order == 0x4949) == (ntohs(0x1234) == 0x1234))
swab ((char*)pixel, (char*)pixel, count*2);
}
void CLASS cubic_spline (const int *x_, const int *y_, const int len)
{
float **A, *b, *c, *d, *x, *y;
int i, j;
A = (float **) calloc (((2*len + 4)*sizeof **A + sizeof *A), 2*len);
if (!A) return;
A[0] = (float *) (A + 2*len);
for (i = 1; i < 2*len; i++)
A[i] = A[0] + 2*len*i;
y = len + (x = i + (d = i + (c = i + (b = A[0] + i*i))));
for (i = 0; i < len; i++) {
x[i] = x_[i] / 65535.0;
y[i] = y_[i] / 65535.0;
}
for (i = len-1; i > 0; i--) {
b[i] = (y[i] - y[i-1]) / (x[i] - x[i-1]);
d[i-1] = x[i] - x[i-1];
}
for (i = 1; i < len-1; i++) {
A[i][i] = 2 * (d[i-1] + d[i]);
if (i > 1) {
A[i][i-1] = d[i-1];
A[i-1][i] = d[i-1];
}
A[i][len-1] = 6 * (b[i+1] - b[i]);
}
for(i = 1; i < len-2; i++) {
float v = A[i+1][i] / A[i][i];
for(j = 1; j <= len-1; j++)
A[i+1][j] -= v * A[i][j];
}
for(i = len-2; i > 0; i--) {
float acc = 0;
for(j = i; j <= len-2; j++)
acc += A[i][j]*c[j];
c[i] = (A[i][len-1] - acc) / A[i][i];
}
for (i = 0; i < 0x10000; i++) {
float x_out = (float)(i / 65535.0);
float y_out = 0;
for (j = 0; j < len-1; j++) {
if (x[j] <= x_out && x_out <= x[j+1]) {
float v = x_out - x[j];
y_out = y[j] +
((y[j+1] - y[j]) / d[j] - (2 * d[j] * c[j] + c[j+1] * d[j])/6) * v
+ (c[j] * 0.5) * v*v + ((c[j+1] - c[j]) / (6 * d[j])) * v*v*v;
}
}
curve[i] = y_out < 0.0 ? 0 : (y_out >= 1.0 ? 65535 :
(ushort)(y_out * 65535.0 + 0.5));
}
free (A);
}
void CLASS canon_600_fixed_wb (int temp)
{
static const short mul[4][5] = {
{ 667, 358,397,565,452 },
{ 731, 390,367,499,517 },
{ 1119, 396,348,448,537 },
{ 1399, 485,431,508,688 } };
int lo, hi, i;
float frac=0;
for (lo=4; --lo; )
if (*mul[lo] <= temp) break;
for (hi=0; hi < 3; hi++)
if (*mul[hi] >= temp) break;
if (lo != hi)
frac = (float) (temp - *mul[lo]) / (*mul[hi] - *mul[lo]);
for (i=1; i < 5; i++)
pre_mul[i-1] = 1 / (frac * mul[hi][i] + (1-frac) * mul[lo][i]);
}
/* Return values: 0 = white 1 = near white 2 = not white */
int CLASS canon_600_color (int ratio[2], int mar)
{
int clipped=0, target, miss;
if (flash_used) {
if (ratio[1] < -104)
{ ratio[1] = -104; clipped = 1; }
if (ratio[1] > 12)
{ ratio[1] = 12; clipped = 1; }
} else {
if (ratio[1] < -264 || ratio[1] > 461) return 2;
if (ratio[1] < -50)
{ ratio[1] = -50; clipped = 1; }
if (ratio[1] > 307)
{ ratio[1] = 307; clipped = 1; }
}
target = flash_used || ratio[1] < 197
? -38 - (398 * ratio[1] >> 10)
: -123 + (48 * ratio[1] >> 10);
if (target - mar <= ratio[0] &&
target + 20 >= ratio[0] && !clipped) return 0;
miss = target - ratio[0];
if (abs(miss) >= mar*4) return 2;
if (miss < -20) miss = -20;
if (miss > mar) miss = mar;
ratio[0] = target - miss;
return 1;
}
void CLASS canon_600_auto_wb()
{
int mar, row, col, i, j, st, count[] = { 0,0 };
int test[8], total[2][8], ratio[2][2], stat[2];
memset (&total, 0, sizeof total);
i = canon_ev + 0.5;
if (i < 10) mar = 150;
else if (i > 12) mar = 20;
else mar = 280 - 20 * i;
if (flash_used) mar = 80;
for (row=14; row < height-14; row+=4)
for (col=10; col < width; col+=2) {
for (i=0; i < 8; i++)
test[(i & 4) + FC(row+(i >> 1),col+(i & 1))] =
BAYER(row+(i >> 1),col+(i & 1));
for (i=0; i < 8; i++)
if (test[i] < 150 || test[i] > 1500) goto next;
for (i=0; i < 4; i++)
if (abs(test[i] - test[i+4]) > 50) goto next;
for (i=0; i < 2; i++) {
for (j=0; j < 4; j+=2)
ratio[i][j >> 1] = ((test[i*4+j+1]-test[i*4+j]) << 10) / test[i*4+j];
stat[i] = canon_600_color (ratio[i], mar);
}
if ((st = stat[0] | stat[1]) > 1) goto next;
for (i=0; i < 2; i++)
if (stat[i])
for (j=0; j < 2; j++)
test[i*4+j*2+1] = test[i*4+j*2] * (0x400 + ratio[i][j]) >> 10;
for (i=0; i < 8; i++)
total[st][i] += test[i];
count[st]++;
next: ;
}
if (count[0] | count[1]) {
st = count[0]*200 < count[1];
for (i=0; i < 4; i++)
pre_mul[i] = 1.0 / (total[st][i] + total[st][i+4]);
}
}
void CLASS canon_600_coeff()
{
static const short table[6][12] = {
{ -190,702,-1878,2390, 1861,-1349,905,-393, -432,944,2617,-2105 },
{ -1203,1715,-1136,1648, 1388,-876,267,245, -1641,2153,3921,-3409 },
{ -615,1127,-1563,2075, 1437,-925,509,3, -756,1268,2519,-2007 },
{ -190,702,-1886,2398, 2153,-1641,763,-251, -452,964,3040,-2528 },
{ -190,702,-1878,2390, 1861,-1349,905,-393, -432,944,2617,-2105 },
{ -807,1319,-1785,2297, 1388,-876,769,-257, -230,742,2067,-1555 } };
int t=0, i, c;
float mc, yc;
mc = pre_mul[1] / pre_mul[2];
yc = pre_mul[3] / pre_mul[2];
if (mc > 1 && mc <= 1.28 && yc < 0.8789) t=1;
if (mc > 1.28 && mc <= 2) {
if (yc < 0.8789) t=3;
else if (yc <= 2) t=4;
}
if (flash_used) t=5;
for (raw_color = i=0; i < 3; i++)
FORCC rgb_cam[i][c] = table[t][i*4 + c] / 1024.0;
}
void CLASS canon_600_load_raw()
{
uchar data[1120], *dp;
ushort *pix;
int irow, row;
for (irow=row=0; irow < height; irow++) {
#ifdef LIBRAW_LIBRARY_BUILD
checkCancel();
#endif
if (fread (data, 1, 1120, ifp) < 1120) derror();
pix = raw_image + row*raw_width;
for (dp=data; dp < data+1120; dp+=10, pix+=8) {
pix[0] = (dp[0] << 2) + (dp[1] >> 6 );
pix[1] = (dp[2] << 2) + (dp[1] >> 4 & 3);
pix[2] = (dp[3] << 2) + (dp[1] >> 2 & 3);
pix[3] = (dp[4] << 2) + (dp[1] & 3);
pix[4] = (dp[5] << 2) + (dp[9] & 3);
pix[5] = (dp[6] << 2) + (dp[9] >> 2 & 3);
pix[6] = (dp[7] << 2) + (dp[9] >> 4 & 3);
pix[7] = (dp[8] << 2) + (dp[9] >> 6 );
}
if ((row+=2) > height) row = 1;
}
}
void CLASS canon_600_correct()
{
int row, col, val;
static const short mul[4][2] =
{ { 1141,1145 }, { 1128,1109 }, { 1178,1149 }, { 1128,1109 } };
for (row=0; row < height; row++)
{
#ifdef LIBRAW_LIBRARY_BUILD
checkCancel();
#endif
for (col=0; col < width; col++) {
if ((val = BAYER(row,col) - black) < 0) val = 0;
val = val * mul[row & 3][col & 1] >> 9;
BAYER(row,col) = val;
}
}
canon_600_fixed_wb(1311);
canon_600_auto_wb();
canon_600_coeff();
maximum = (0x3ff - black) * 1109 >> 9;
black = 0;
}
int CLASS canon_s2is()
{
unsigned row;
for (row=0; row < 100; row++) {
fseek (ifp, row*3340 + 3284, SEEK_SET);
if (getc(ifp) > 15) return 1;
}
return 0;
}
unsigned CLASS getbithuff (int nbits, ushort *huff)
{
#ifdef LIBRAW_NOTHREADS
static unsigned bitbuf=0;
static int vbits=0, reset=0;
#else
#define bitbuf tls->getbits.bitbuf
#define vbits tls->getbits.vbits
#define reset tls->getbits.reset
#endif
unsigned c;
if (nbits > 25) return 0;
if (nbits < 0)
return bitbuf = vbits = reset = 0;
if (nbits == 0 || vbits < 0) return 0;
while (!reset && vbits < nbits && (c = fgetc(ifp)) != EOF &&
!(reset = zero_after_ff && c == 0xff && fgetc(ifp))) {
bitbuf = (bitbuf << 8) + (uchar) c;
vbits += 8;
}
c = bitbuf << (32-vbits) >> (32-nbits);
if (huff) {
vbits -= huff[c] >> 8;
c = (uchar) huff[c];
} else
vbits -= nbits;
if (vbits < 0) derror();
return c;
#ifndef LIBRAW_NOTHREADS
#undef bitbuf
#undef vbits
#undef reset
#endif
}
#define getbits(n) getbithuff(n,0)
#define gethuff(h) getbithuff(*h,h+1)
/*
Construct a decode tree according the specification in *source.
The first 16 bytes specify how many codes should be 1-bit, 2-bit
3-bit, etc. Bytes after that are the leaf values.
For example, if the source is
{ 0,1,4,2,3,1,2,0,0,0,0,0,0,0,0,0,
0x04,0x03,0x05,0x06,0x02,0x07,0x01,0x08,0x09,0x00,0x0a,0x0b,0xff },
then the code is
00 0x04
010 0x03
011 0x05
100 0x06
101 0x02
1100 0x07
1101 0x01
11100 0x08
11101 0x09
11110 0x00
111110 0x0a
1111110 0x0b
1111111 0xff
*/
ushort * CLASS make_decoder_ref (const uchar **source)
{
int max, len, h, i, j;
const uchar *count;
ushort *huff;
count = (*source += 16) - 17;
for (max=16; max && !count[max]; max--);
huff = (ushort *) calloc (1 + (1 << max), sizeof *huff);
merror (huff, "make_decoder()");
huff[0] = max;
for (h=len=1; len <= max; len++)
for (i=0; i < count[len]; i++, ++*source)
for (j=0; j < 1 << (max-len); j++)
if (h <= 1 << max)
huff[h++] = len << 8 | **source;
return huff;
}
ushort * CLASS make_decoder (const uchar *source)
{
return make_decoder_ref (&source);
}
void CLASS crw_init_tables (unsigned table, ushort *huff[2])
{
static const uchar first_tree[3][29] = {
{ 0,1,4,2,3,1,2,0,0,0,0,0,0,0,0,0,
0x04,0x03,0x05,0x06,0x02,0x07,0x01,0x08,0x09,0x00,0x0a,0x0b,0xff },
{ 0,2,2,3,1,1,1,1,2,0,0,0,0,0,0,0,
0x03,0x02,0x04,0x01,0x05,0x00,0x06,0x07,0x09,0x08,0x0a,0x0b,0xff },
{ 0,0,6,3,1,1,2,0,0,0,0,0,0,0,0,0,
0x06,0x05,0x07,0x04,0x08,0x03,0x09,0x02,0x00,0x0a,0x01,0x0b,0xff },
};
static const uchar second_tree[3][180] = {
{ 0,2,2,2,1,4,2,1,2,5,1,1,0,0,0,139,
0x03,0x04,0x02,0x05,0x01,0x06,0x07,0x08,
0x12,0x13,0x11,0x14,0x09,0x15,0x22,0x00,0x21,0x16,0x0a,0xf0,
0x23,0x17,0x24,0x31,0x32,0x18,0x19,0x33,0x25,0x41,0x34,0x42,
0x35,0x51,0x36,0x37,0x38,0x29,0x79,0x26,0x1a,0x39,0x56,0x57,
0x28,0x27,0x52,0x55,0x58,0x43,0x76,0x59,0x77,0x54,0x61,0xf9,
0x71,0x78,0x75,0x96,0x97,0x49,0xb7,0x53,0xd7,0x74,0xb6,0x98,
0x47,0x48,0x95,0x69,0x99,0x91,0xfa,0xb8,0x68,0xb5,0xb9,0xd6,
0xf7,0xd8,0x67,0x46,0x45,0x94,0x89,0xf8,0x81,0xd5,0xf6,0xb4,
0x88,0xb1,0x2a,0x44,0x72,0xd9,0x87,0x66,0xd4,0xf5,0x3a,0xa7,
0x73,0xa9,0xa8,0x86,0x62,0xc7,0x65,0xc8,0xc9,0xa1,0xf4,0xd1,
0xe9,0x5a,0x92,0x85,0xa6,0xe7,0x93,0xe8,0xc1,0xc6,0x7a,0x64,
0xe1,0x4a,0x6a,0xe6,0xb3,0xf1,0xd3,0xa5,0x8a,0xb2,0x9a,0xba,
0x84,0xa4,0x63,0xe5,0xc5,0xf3,0xd2,0xc4,0x82,0xaa,0xda,0xe4,
0xf2,0xca,0x83,0xa3,0xa2,0xc3,0xea,0xc2,0xe2,0xe3,0xff,0xff },
{ 0,2,2,1,4,1,4,1,3,3,1,0,0,0,0,140,
0x02,0x03,0x01,0x04,0x05,0x12,0x11,0x06,
0x13,0x07,0x08,0x14,0x22,0x09,0x21,0x00,0x23,0x15,0x31,0x32,
0x0a,0x16,0xf0,0x24,0x33,0x41,0x42,0x19,0x17,0x25,0x18,0x51,
0x34,0x43,0x52,0x29,0x35,0x61,0x39,0x71,0x62,0x36,0x53,0x26,
0x38,0x1a,0x37,0x81,0x27,0x91,0x79,0x55,0x45,0x28,0x72,0x59,
0xa1,0xb1,0x44,0x69,0x54,0x58,0xd1,0xfa,0x57,0xe1,0xf1,0xb9,
0x49,0x47,0x63,0x6a,0xf9,0x56,0x46,0xa8,0x2a,0x4a,0x78,0x99,
0x3a,0x75,0x74,0x86,0x65,0xc1,0x76,0xb6,0x96,0xd6,0x89,0x85,
0xc9,0xf5,0x95,0xb4,0xc7,0xf7,0x8a,0x97,0xb8,0x73,0xb7,0xd8,
0xd9,0x87,0xa7,0x7a,0x48,0x82,0x84,0xea,0xf4,0xa6,0xc5,0x5a,
0x94,0xa4,0xc6,0x92,0xc3,0x68,0xb5,0xc8,0xe4,0xe5,0xe6,0xe9,
0xa2,0xa3,0xe3,0xc2,0x66,0x67,0x93,0xaa,0xd4,0xd5,0xe7,0xf8,
0x88,0x9a,0xd7,0x77,0xc4,0x64,0xe2,0x98,0xa5,0xca,0xda,0xe8,
0xf3,0xf6,0xa9,0xb2,0xb3,0xf2,0xd2,0x83,0xba,0xd3,0xff,0xff },
{ 0,0,6,2,1,3,3,2,5,1,2,2,8,10,0,117,
0x04,0x05,0x03,0x06,0x02,0x07,0x01,0x08,
0x09,0x12,0x13,0x14,0x11,0x15,0x0a,0x16,0x17,0xf0,0x00,0x22,
0x21,0x18,0x23,0x19,0x24,0x32,0x31,0x25,0x33,0x38,0x37,0x34,
0x35,0x36,0x39,0x79,0x57,0x58,0x59,0x28,0x56,0x78,0x27,0x41,
0x29,0x77,0x26,0x42,0x76,0x99,0x1a,0x55,0x98,0x97,0xf9,0x48,
0x54,0x96,0x89,0x47,0xb7,0x49,0xfa,0x75,0x68,0xb6,0x67,0x69,
0xb9,0xb8,0xd8,0x52,0xd7,0x88,0xb5,0x74,0x51,0x46,0xd9,0xf8,
0x3a,0xd6,0x87,0x45,0x7a,0x95,0xd5,0xf6,0x86,0xb4,0xa9,0x94,
0x53,0x2a,0xa8,0x43,0xf5,0xf7,0xd4,0x66,0xa7,0x5a,0x44,0x8a,
0xc9,0xe8,0xc8,0xe7,0x9a,0x6a,0x73,0x4a,0x61,0xc7,0xf4,0xc6,
0x65,0xe9,0x72,0xe6,0x71,0x91,0x93,0xa6,0xda,0x92,0x85,0x62,
0xf3,0xc5,0xb2,0xa4,0x84,0xba,0x64,0xa5,0xb3,0xd2,0x81,0xe5,
0xd3,0xaa,0xc4,0xca,0xf2,0xb1,0xe4,0xd1,0x83,0x63,0xea,0xc3,
0xe2,0x82,0xf1,0xa3,0xc2,0xa1,0xc1,0xe3,0xa2,0xe1,0xff,0xff }
};
if (table > 2) table = 2;
huff[0] = make_decoder ( first_tree[table]);
huff[1] = make_decoder (second_tree[table]);
}
/*
Return 0 if the image starts with compressed data,
1 if it starts with uncompressed low-order bits.
In Canon compressed data, 0xff is always followed by 0x00.
*/
int CLASS canon_has_lowbits()
{
uchar test[0x4000];
int ret=1, i;
fseek (ifp, 0, SEEK_SET);
fread (test, 1, sizeof test, ifp);
for (i=540; i < sizeof test - 1; i++)
if (test[i] == 0xff) {
if (test[i+1]) return 1;
ret=0;
}
return ret;
}
void CLASS canon_load_raw()
{
ushort *pixel, *prow, *huff[2];
int nblocks, lowbits, i, c, row, r, save, val;
int block, diffbuf[64], leaf, len, diff, carry=0, pnum=0, base[2];
crw_init_tables (tiff_compress, huff);
lowbits = canon_has_lowbits();
if (!lowbits) maximum = 0x3ff;
fseek (ifp, 540 + lowbits*raw_height*raw_width/4, SEEK_SET);
zero_after_ff = 1;
getbits(-1);
#ifdef LIBRAW_LIBRARY_BUILD
try {
#endif
for (row=0; row < raw_height; row+=8) {
#ifdef LIBRAW_LIBRARY_BUILD
checkCancel();
#endif
pixel = raw_image + row*raw_width;
nblocks = MIN (8, raw_height-row) * raw_width >> 6;
for (block=0; block < nblocks; block++) {
memset (diffbuf, 0, sizeof diffbuf);
for (i=0; i < 64; i++ ) {
leaf = gethuff(huff[i > 0]);
if (leaf == 0 && i) break;
if (leaf == 0xff) continue;
i += leaf >> 4;
len = leaf & 15;
if (len == 0) continue;
diff = getbits(len);
if ((diff & (1 << (len-1))) == 0)
diff -= (1 << len) - 1;
if (i < 64) diffbuf[i] = diff;
}
diffbuf[0] += carry;
carry = diffbuf[0];
for (i=0; i < 64; i++ ) {
if (pnum++ % raw_width == 0)
base[0] = base[1] = 512;
if ((pixel[(block << 6) + i] = base[i & 1] += diffbuf[i]) >> 10)
derror();
}
}
if (lowbits) {
save = ftell(ifp);
fseek (ifp, 26 + row*raw_width/4, SEEK_SET);
for (prow=pixel, i=0; i < raw_width*2; i++) {
c = fgetc(ifp);
for (r=0; r < 8; r+=2, prow++) {
val = (*prow << 2) + ((c >> r) & 3);
if (raw_width == 2672 && val < 512) val += 2;
*prow = val;
}
}
fseek (ifp, save, SEEK_SET);
}
}
#ifdef LIBRAW_LIBRARY_BUILD
} catch (...) {
FORC(2) free (huff[c]);
throw;
}
#endif
FORC(2) free (huff[c]);
}
//@end COMMON
/*
Not a full implementation of Lossless JPEG, just
enough to decode Canon, Kodak and Adobe DNG images.
*/
struct jhead {
int bits, high, wide, clrs, sraw, psv, restart, vpred[6];
ushort *huff[6], *free[4], *row;
};
//@out COMMON
int CLASS ljpeg_start (struct jhead *jh, int info_only)
{
int c, tag, len;
uchar data[0x10000];
const uchar *dp;
memset (jh, 0, sizeof *jh);
jh->restart = INT_MAX;
fread (data, 2, 1, ifp);
if (data[1] != 0xd8) return 0;
do {
fread (data, 2, 2, ifp);
tag = data[0] << 8 | data[1];
len = (data[2] << 8 | data[3]) - 2;
// printf ("\n*** ljpeg_start pos= %llx tag= %x, len= %d", ftell(ifp)-4, tag, len);
if (tag <= 0xff00) return 0;
fread (data, 1, len, ifp);
switch (tag) {
case 0xffc3: // start of frame; lossless, Huffman
jh->sraw = ((data[7] >> 4) * (data[7] & 15) - 1) & 3;
// printf ("\n*** %x: startraw= %d", tag, jh->sraw);
case 0xffc0: // start of frame; baseline jpeg
jh->bits = data[0];
jh->high = data[1] << 8 | data[2];
jh->wide = data[3] << 8 | data[4];
jh->clrs = data[5] + jh->sraw;
if (!strcmp(model, "EOS 5DS"))
{
jh->wide = data[1] << 8 | data[2];
jh->high = data[3] << 8 | data[4];
}
// printf ("\n*** %x: bits= %d; high= %d; wide= %d; clrs= %d",
// tag, jh->bits, jh->high, jh->wide, jh->clrs);
if (len == 9 && !dng_version) getc(ifp);
break;
case 0xffc4: // define Huffman tables
if (info_only) break;
for (dp = data; dp < data+len && (c = *dp++) < 4; )
jh->free[c] = jh->huff[c] = make_decoder_ref (&dp);
break;
case 0xffda: // start of scan
jh->psv = data[1+data[0]*2];
jh->bits -= data[3+data[0]*2] & 15;
break;
case 0xffdd: // define restart interval
jh->restart = data[0] << 8 | data[1];
}
} while (tag != 0xffda);
// printf ("\n");
if (info_only) return 1;
if (jh->clrs > 6 || !jh->huff[0]) return 0;
FORC(5) if (!jh->huff[c+1]) jh->huff[c+1] = jh->huff[c];
if (jh->sraw) {
FORC(4) jh->huff[2+c] = jh->huff[1];
FORC(jh->sraw) jh->huff[1+c] = jh->huff[0];
}
jh->row = (ushort *) calloc (jh->wide*jh->clrs, 4);
merror (jh->row, "ljpeg_start()");
return zero_after_ff = 1;
}
void CLASS ljpeg_end (struct jhead *jh)
{
int c;
FORC4 if (jh->free[c]) free (jh->free[c]);
free (jh->row);
}
int CLASS ljpeg_diff (ushort *huff)
{
int len, diff;
if(!huff)
#ifdef LIBRAW_LIBRARY_BUILD
throw LIBRAW_EXCEPTION_IO_CORRUPT;
#else
longjmp (failure, 2);
#endif
len = gethuff(huff);
if (len == 16 && (!dng_version || dng_version >= 0x1010000))
return -32768;
diff = getbits(len);
if ((diff & (1 << (len-1))) == 0)
diff -= (1 << len) - 1;
return diff;
}
ushort * CLASS ljpeg_row (int jrow, struct jhead *jh)
{
int col, c, diff, pred, spred=0;
ushort mark=0, *row[3];
if (jrow * jh->wide % jh->restart == 0) {
FORC(6) jh->vpred[c] = 1 << (jh->bits-1);
if (jrow) {
fseek (ifp, -2, SEEK_CUR);
do mark = (mark << 8) + (c = fgetc(ifp));
while (c != EOF && mark >> 4 != 0xffd);
}
getbits(-1);
}
FORC3 row[c] = jh->row + jh->wide*jh->clrs*((jrow+c) & 1);
for (col=0; col < jh->wide; col++)
FORC(jh->clrs) {
diff = ljpeg_diff (jh->huff[c]);
if (jh->sraw && c <= jh->sraw && (col | c))
pred = spred;
else if (col) pred = row[0][-jh->clrs];
else pred = (jh->vpred[c] += diff) - diff;
if (jrow && col) switch (jh->psv) {
case 1: break;
case 2: pred = row[1][0]; break;
case 3: pred = row[1][-jh->clrs]; break;
case 4: pred = pred + row[1][0] - row[1][-jh->clrs]; break;
case 5: pred = pred + ((row[1][0] - row[1][-jh->clrs]) >> 1); break;
case 6: pred = row[1][0] + ((pred - row[1][-jh->clrs]) >> 1); break;
case 7: pred = (pred + row[1][0]) >> 1; break;
default: pred = 0;
}
if ((**row = pred + diff) >> jh->bits) derror();
if (c <= jh->sraw) spred = **row;
row[0]++; row[1]++;
}
return row[2];
}
void CLASS lossless_jpeg_load_raw()
{
int jwide, jrow, jcol, val, jidx, i, j, row=0, col=0;
struct jhead jh;
ushort *rp;
// printf ("\n*** lossless_jpeg_load_raw\n");
if (!ljpeg_start (&jh, 0)) return;
if(jh.wide<1 || jh.high<1 || jh.clrs<1 || jh.bits <1)
#ifdef LIBRAW_LIBRARY_BUILD
throw LIBRAW_EXCEPTION_IO_CORRUPT;
#else
longjmp (failure, 2);
#endif
jwide = jh.wide * jh.clrs;
#ifdef LIBRAW_LIBRARY_BUILD
try {
#endif
for (jrow=0; jrow < jh.high; jrow++) {
#ifdef LIBRAW_LIBRARY_BUILD
checkCancel();
#endif
rp = ljpeg_row (jrow, &jh);
if (load_flags & 1)
row = jrow & 1 ? height-1-jrow/2 : jrow/2;
for (jcol=0; jcol < jwide; jcol++) {
val = curve[*rp++];
if (cr2_slice[0]) {
jidx = jrow*jwide + jcol;
i = jidx / (cr2_slice[1]*jh.high);
if ((j = i >= cr2_slice[0]))
i = cr2_slice[0];
jidx -= i * (cr2_slice[1]*jh.high);
row = jidx / cr2_slice[1+j];
col = jidx % cr2_slice[1+j] + i*cr2_slice[1];
}
if (raw_width == 3984 && (col -= 2) < 0)
col += (row--,raw_width);
if(row>raw_height)
#ifdef LIBRAW_LIBRARY_BUILD
throw LIBRAW_EXCEPTION_IO_CORRUPT;
#else
longjmp (failure, 3);
#endif
if ((unsigned) row < raw_height) RAW(row,col) = val;
if (++col >= raw_width)
col = (row++,0);
}
}
#ifdef LIBRAW_LIBRARY_BUILD
} catch (...) {
ljpeg_end (&jh);
throw;
}
#endif
ljpeg_end (&jh);
}
void CLASS canon_sraw_load_raw()
{
struct jhead jh;
short *rp=0, (*ip)[4];
int jwide, slice, scol, ecol, row, col, jrow=0, jcol=0, pix[3], c;
int v[3]={0,0,0}, ver, hue;
char *cp;
if (!ljpeg_start (&jh, 0) || jh.clrs < 4) return;
jwide = (jh.wide >>= 1) * jh.clrs;
#ifdef LIBRAW_LIBRARY_BUILD
try {
#endif
for (ecol=slice=0; slice <= cr2_slice[0]; slice++) {
scol = ecol;
ecol += cr2_slice[1] * 2 / jh.clrs;
if (!cr2_slice[0] || ecol > raw_width-1) ecol = raw_width & -2;
for (row=0; row < height; row += (jh.clrs >> 1) - 1) {
#ifdef LIBRAW_LIBRARY_BUILD
checkCancel();
#endif
ip = (short (*)[4]) image + row*width;
for (col=scol; col < ecol; col+=2, jcol+=jh.clrs) {
if ((jcol %= jwide) == 0)
rp = (short *) ljpeg_row (jrow++, &jh);
if (col >= width) continue;
#ifdef LIBRAW_LIBRARY_BUILD
if(imgdata.params.sraw_ycc>=2)
{
FORC (jh.clrs-2)
{
ip[col + (c >> 1)*width + (c & 1)][0] = rp[jcol+c];
ip[col + (c >> 1)*width + (c & 1)][1] = ip[col + (c >> 1)*width + (c & 1)][2] = 8192;
}
ip[col][1] = rp[jcol+jh.clrs-2] - 8192;
ip[col][2] = rp[jcol+jh.clrs-1] - 8192;
}
else if(imgdata.params.sraw_ycc)
{
FORC (jh.clrs-2)
ip[col + (c >> 1)*width + (c & 1)][0] = rp[jcol+c];
ip[col][1] = rp[jcol+jh.clrs-2] - 8192;
ip[col][2] = rp[jcol+jh.clrs-1] - 8192;
}
else
#endif
{
FORC (jh.clrs-2)
ip[col + (c >> 1)*width + (c & 1)][0] = rp[jcol+c];
ip[col][1] = rp[jcol+jh.clrs-2] - 16384;
ip[col][2] = rp[jcol+jh.clrs-1] - 16384;
}
}
}
}
#ifdef LIBRAW_LIBRARY_BUILD
} catch (...) {
ljpeg_end (&jh);
throw ;
}
#endif
#ifdef LIBRAW_LIBRARY_BUILD
if(imgdata.params.sraw_ycc>=2)
{
ljpeg_end (&jh);
maximum = 0x3fff;
return;
}
#endif
#ifdef LIBRAW_LIBRARY_BUILD
try {
#endif
for (cp=model2; *cp && !isdigit(*cp); cp++);
sscanf (cp, "%d.%d.%d", v, v+1, v+2);
ver = (v[0]*1000 + v[1])*1000 + v[2];
hue = (jh.sraw+1) << 2;
if (unique_id >= 0x80000281 || (unique_id == 0x80000218 && ver > 1000006))
hue = jh.sraw << 1;
ip = (short (*)[4]) image;
rp = ip[0];
for (row=0; row < height; row++, ip+=width) {
#ifdef LIBRAW_LIBRARY_BUILD
checkCancel();
#endif
if (row & (jh.sraw >> 1))
for (col=0; col < width; col+=2)
for (c=1; c < 3; c++)
if (row == height-1)
ip[col][c] = ip[col-width][c];
else ip[col][c] = (ip[col-width][c] + ip[col+width][c] + 1) >> 1;
for (col=1; col < width; col+=2)
for (c=1; c < 3; c++)
if (col == width-1)
ip[col][c] = ip[col-1][c];
else ip[col][c] = (ip[col-1][c] + ip[col+1][c] + 1) >> 1;
}
#ifdef LIBRAW_LIBRARY_BUILD
if(!imgdata.params.sraw_ycc)
#endif
for ( ; rp < ip[0]; rp+=4) {
#ifdef LIBRAW_LIBRARY_BUILD
checkCancel();
#endif
if (unique_id == 0x80000218 ||
unique_id == 0x80000250 ||
unique_id == 0x80000261 ||
unique_id == 0x80000281 ||
unique_id == 0x80000287) {
rp[1] = (rp[1] << 2) + hue;
rp[2] = (rp[2] << 2) + hue;
pix[0] = rp[0] + (( 50*rp[1] + 22929*rp[2]) >> 14);
pix[1] = rp[0] + ((-5640*rp[1] - 11751*rp[2]) >> 14);
pix[2] = rp[0] + ((29040*rp[1] - 101*rp[2]) >> 14);
} else {
if (unique_id < 0x80000218) rp[0] -= 512;
pix[0] = rp[0] + rp[2];
pix[2] = rp[0] + rp[1];
pix[1] = rp[0] + ((-778*rp[1] - (rp[2] << 11)) >> 12);
}
FORC3 rp[c] = CLIP(pix[c] * sraw_mul[c] >> 10);
}
#ifdef LIBRAW_LIBRARY_BUILD
} catch (...) {
ljpeg_end (&jh);
throw ;
}
#endif
ljpeg_end (&jh);
maximum = 0x3fff;
}
void CLASS adobe_copy_pixel (unsigned row, unsigned col, ushort **rp)
{
int c;
if (is_raw == 2 && shot_select) (*rp)++;
if (raw_image) {
if (row < raw_height && col < raw_width)
RAW(row,col) = curve[**rp];
*rp += is_raw;
} else {
if (row < height && col < width)
FORC(tiff_samples)
image[row*width+col][c] = curve[(*rp)[c]];
*rp += tiff_samples;
}
if (is_raw == 2 && shot_select) (*rp)--;
}
void CLASS lossless_dng_load_raw()
{
unsigned save, trow=0, tcol=0, jwide, jrow, jcol, row, col;
struct jhead jh;
ushort *rp;
while (trow < raw_height) {
#ifdef LIBRAW_LIBRARY_BUILD
checkCancel();
#endif
save = ftell(ifp);
if (tile_length < INT_MAX)
fseek (ifp, get4(), SEEK_SET);
if (!ljpeg_start (&jh, 0)) break;
jwide = jh.wide;
if (filters) jwide *= jh.clrs;
jwide /= is_raw;
#ifdef LIBRAW_LIBRARY_BUILD
try {
#endif
for (row=col=jrow=0; jrow < jh.high; jrow++) {
#ifdef LIBRAW_LIBRARY_BUILD
checkCancel();
#endif
rp = ljpeg_row (jrow, &jh);
for (jcol=0; jcol < jwide; jcol++) {
adobe_copy_pixel (trow+row, tcol+col, &rp);
if (++col >= tile_width || col >= raw_width)
row += 1 + (col = 0);
}
}
#ifdef LIBRAW_LIBRARY_BUILD
} catch (...) {
ljpeg_end (&jh);
throw ;
}
#endif
fseek (ifp, save+4, SEEK_SET);
if ((tcol += tile_width) >= raw_width)
trow += tile_length + (tcol = 0);
ljpeg_end (&jh);
}
}
void CLASS packed_dng_load_raw()
{
ushort *pixel, *rp;
int row, col;
pixel = (ushort *) calloc (raw_width, tiff_samples*sizeof *pixel);
merror (pixel, "packed_dng_load_raw()");
#ifdef LIBRAW_LIBRARY_BUILD
try {
#endif
for (row=0; row < raw_height; row++) {
#ifdef LIBRAW_LIBRARY_BUILD
checkCancel();
#endif
if (tiff_bps == 16)
read_shorts (pixel, raw_width * tiff_samples);
else {
getbits(-1);
for (col=0; col < raw_width * tiff_samples; col++)
pixel[col] = getbits(tiff_bps);
}
for (rp=pixel, col=0; col < raw_width; col++)
adobe_copy_pixel (row, col, &rp);
}
#ifdef LIBRAW_LIBRARY_BUILD
} catch (...) {
free (pixel);
throw ;
}
#endif
free (pixel);
}
void CLASS pentax_load_raw()
{
ushort bit[2][15], huff[4097];
int dep, row, col, diff, c, i;
ushort vpred[2][2] = {{0,0},{0,0}}, hpred[2];
fseek (ifp, meta_offset, SEEK_SET);
dep = (get2() + 12) & 15;
fseek (ifp, 12, SEEK_CUR);
FORC(dep) bit[0][c] = get2();
FORC(dep) bit[1][c] = fgetc(ifp);
FORC(dep)
for (i=bit[0][c]; i <= ((bit[0][c]+(4096 >> bit[1][c])-1) & 4095); )
huff[++i] = bit[1][c] << 8 | c;
huff[0] = 12;
fseek (ifp, data_offset, SEEK_SET);
getbits(-1);
for (row=0; row < raw_height; row++)
{
#ifdef LIBRAW_LIBRARY_BUILD
checkCancel();
#endif
for (col=0; col < raw_width; col++) {
diff = ljpeg_diff (huff);
if (col < 2) hpred[col] = vpred[row & 1][col] += diff;
else hpred[col & 1] += diff;
RAW(row,col) = hpred[col & 1];
if (hpred[col & 1] >> tiff_bps) derror();
}
}
}
#ifdef LIBRAW_LIBRARY_BUILD
void CLASS nikon_coolscan_load_raw()
{
int bufsize = width*3*tiff_bps/8;
if(tiff_bps <= 8)
gamma_curve(1.0/imgdata.params.coolscan_nef_gamma,0.,1,255);
else
gamma_curve(1.0/imgdata.params.coolscan_nef_gamma,0.,1,65535);
fseek (ifp, data_offset, SEEK_SET);
unsigned char *buf = (unsigned char*)malloc(bufsize);
unsigned short *ubuf = (unsigned short *)buf;
for(int row = 0; row < raw_height; row++)
{
int red = fread (buf, 1, bufsize, ifp);
unsigned short (*ip)[4] = (unsigned short (*)[4]) image + row*width;
if(tiff_bps <= 8)
for(int col=0; col<width;col++)
{
ip[col][0] = curve[buf[col*3]];
ip[col][1] = curve[buf[col*3+1]];
ip[col][2] = curve[buf[col*3+2]];
ip[col][3]=0;
}
else
for(int col=0; col<width;col++)
{
ip[col][0] = curve[ubuf[col*3]];
ip[col][1] = curve[ubuf[col*3+1]];
ip[col][2] = curve[ubuf[col*3+2]];
ip[col][3]=0;
}
}
free(buf);
}
#endif
void CLASS nikon_load_raw()
{
static const uchar nikon_tree[][32] = {
{ 0,1,5,1,1,1,1,1,1,2,0,0,0,0,0,0, /* 12-bit lossy */
5,4,3,6,2,7,1,0,8,9,11,10,12 },
{ 0,1,5,1,1,1,1,1,1,2,0,0,0,0,0,0, /* 12-bit lossy after split */
0x39,0x5a,0x38,0x27,0x16,5,4,3,2,1,0,11,12,12 },
{ 0,1,4,2,3,1,2,0,0,0,0,0,0,0,0,0, /* 12-bit lossless */
5,4,6,3,7,2,8,1,9,0,10,11,12 },
{ 0,1,4,3,1,1,1,1,1,2,0,0,0,0,0,0, /* 14-bit lossy */
5,6,4,7,8,3,9,2,1,0,10,11,12,13,14 },
{ 0,1,5,1,1,1,1,1,1,1,2,0,0,0,0,0, /* 14-bit lossy after split */
8,0x5c,0x4b,0x3a,0x29,7,6,5,4,3,2,1,0,13,14 },
{ 0,1,4,2,2,3,1,2,0,0,0,0,0,0,0,0, /* 14-bit lossless */
7,6,8,5,9,4,10,3,11,12,2,0,1,13,14 } };
ushort *huff, ver0, ver1, vpred[2][2], hpred[2], csize;
int i, min, max, step=0, tree=0, split=0, row, col, len, shl, diff;
fseek (ifp, meta_offset, SEEK_SET);
ver0 = fgetc(ifp);
ver1 = fgetc(ifp);
if (ver0 == 0x49 || ver1 == 0x58)
fseek (ifp, 2110, SEEK_CUR);
if (ver0 == 0x46) tree = 2;
if (tiff_bps == 14) tree += 3;
read_shorts (vpred[0], 4);
max = 1 << tiff_bps & 0x7fff;
if ((csize = get2()) > 1)
step = max / (csize-1);
if (ver0 == 0x44 && ver1 == 0x20 && step > 0) {
for (i=0; i < csize; i++)
curve[i*step] = get2();
for (i=0; i < max; i++)
curve[i] = ( curve[i-i%step]*(step-i%step) +
curve[i-i%step+step]*(i%step) ) / step;
fseek (ifp, meta_offset+562, SEEK_SET);
split = get2();
} else if (ver0 != 0x46 && csize <= 0x4001)
read_shorts (curve, max=csize);
while (curve[max-2] == curve[max-1]) max--;
huff = make_decoder (nikon_tree[tree]);
fseek (ifp, data_offset, SEEK_SET);
getbits(-1);
#ifdef LIBRAW_LIBRARY_BUILD
try {
#endif
for (min=row=0; row < height; row++) {
#ifdef LIBRAW_LIBRARY_BUILD
checkCancel();
#endif
if (split && row == split) {
free (huff);
huff = make_decoder (nikon_tree[tree+1]);
max += (min = 16) << 1;
}
for (col=0; col < raw_width; col++) {
i = gethuff(huff);
len = i & 15;
shl = i >> 4;
diff = ((getbits(len-shl) << 1) + 1) << shl >> 1;
if ((diff & (1 << (len-1))) == 0)
diff -= (1 << len) - !shl;
if (col < 2) hpred[col] = vpred[row & 1][col] += diff;
else hpred[col & 1] += diff;
if ((ushort)(hpred[col & 1] + min) >= max) derror();
RAW(row,col) = curve[LIM((short)hpred[col & 1],0,0x3fff)];
}
}
#ifdef LIBRAW_LIBRARY_BUILD
} catch (...) {
free (huff);
throw;
}
#endif
free (huff);
}
void CLASS nikon_yuv_load_raw()
{
int row, col, yuv[4], rgb[3], b, c;
UINT64 bitbuf=0;
for (row=0; row < raw_height; row++)
{
#ifdef LIBRAW_LIBRARY_BUILD
checkCancel();
#endif
for (col=0; col < raw_width; col++) {
if (!(b = col & 1)) {
bitbuf = 0;
FORC(6) bitbuf |= (UINT64) fgetc(ifp) << c*8;
FORC(4) yuv[c] = (bitbuf >> c*12 & 0xfff) - (c >> 1 << 11);
}
rgb[0] = yuv[b] + 1.370705*yuv[3];
rgb[1] = yuv[b] - 0.337633*yuv[2] - 0.698001*yuv[3];
rgb[2] = yuv[b] + 1.732446*yuv[2];
FORC3 image[row*width+col][c] = curve[LIM(rgb[c],0,0xfff)] / cam_mul[c];
}
}
}
/*
Returns 1 for a Coolpix 995, 0 for anything else.
*/
int CLASS nikon_e995()
{
int i, histo[256];
const uchar often[] = { 0x00, 0x55, 0xaa, 0xff };
memset (histo, 0, sizeof histo);
fseek (ifp, -2000, SEEK_END);
for (i=0; i < 2000; i++)
histo[fgetc(ifp)]++;
for (i=0; i < 4; i++)
if (histo[often[i]] < 200)
return 0;
return 1;
}
/*
Returns 1 for a Coolpix 2100, 0 for anything else.
*/
int CLASS nikon_e2100()
{
uchar t[12];
int i;
fseek (ifp, 0, SEEK_SET);
for (i=0; i < 1024; i++) {
fread (t, 1, 12, ifp);
if (((t[2] & t[4] & t[7] & t[9]) >> 4
& t[1] & t[6] & t[8] & t[11] & 3) != 3)
return 0;
}
return 1;
}
void CLASS nikon_3700()
{
int bits, i;
uchar dp[24];
static const struct {
int bits;
char t_make[12], t_model[15];
} table[] = {
{ 0x00, "Pentax", "Optio 33WR" },
{ 0x03, "Nikon", "E3200" },
{ 0x32, "Nikon", "E3700" },
{ 0x33, "Olympus", "C740UZ" } };
fseek (ifp, 3072, SEEK_SET);
fread (dp, 1, 24, ifp);
bits = (dp[8] & 3) << 4 | (dp[20] & 3);
for (i=0; i < sizeof table / sizeof *table; i++)
if (bits == table[i].bits) {
strcpy (make, table[i].t_make );
strcpy (model, table[i].t_model);
}
}
/*
Separates a Minolta DiMAGE Z2 from a Nikon E4300.
*/
int CLASS minolta_z2()
{
int i, nz;
char tail[424];
fseek (ifp, -sizeof tail, SEEK_END);
fread (tail, 1, sizeof tail, ifp);
for (nz=i=0; i < sizeof tail; i++)
if (tail[i]) nz++;
return nz > 20;
}
//@end COMMON
void CLASS jpeg_thumb();
//@out COMMON
void CLASS ppm_thumb()
{
char *thumb;
thumb_length = thumb_width*thumb_height*3;
thumb = (char *) malloc (thumb_length);
merror (thumb, "ppm_thumb()");
fprintf (ofp, "P6\n%d %d\n255\n", thumb_width, thumb_height);
fread (thumb, 1, thumb_length, ifp);
fwrite (thumb, 1, thumb_length, ofp);
free (thumb);
}
void CLASS ppm16_thumb()
{
int i;
char *thumb;
thumb_length = thumb_width*thumb_height*3;
thumb = (char *) calloc (thumb_length, 2);
merror (thumb, "ppm16_thumb()");
read_shorts ((ushort *) thumb, thumb_length);
for (i=0; i < thumb_length; i++)
thumb[i] = ((ushort *) thumb)[i] >> 8;
fprintf (ofp, "P6\n%d %d\n255\n", thumb_width, thumb_height);
fwrite (thumb, 1, thumb_length, ofp);
free (thumb);
}
void CLASS layer_thumb()
{
int i, c;
char *thumb, map[][4] = { "012","102" };
colors = thumb_misc >> 5 & 7;
thumb_length = thumb_width*thumb_height;
thumb = (char *) calloc (colors, thumb_length);
merror (thumb, "layer_thumb()");
fprintf (ofp, "P%d\n%d %d\n255\n",
5 + (colors >> 1), thumb_width, thumb_height);
fread (thumb, thumb_length, colors, ifp);
for (i=0; i < thumb_length; i++)
FORCC putc (thumb[i+thumb_length*(map[thumb_misc >> 8][c]-'0')], ofp);
free (thumb);
}
void CLASS rollei_thumb()
{
unsigned i;
ushort *thumb;
thumb_length = thumb_width * thumb_height;
thumb = (ushort *) calloc (thumb_length, 2);
merror (thumb, "rollei_thumb()");
fprintf (ofp, "P6\n%d %d\n255\n", thumb_width, thumb_height);
read_shorts (thumb, thumb_length);
for (i=0; i < thumb_length; i++) {
putc (thumb[i] << 3, ofp);
putc (thumb[i] >> 5 << 2, ofp);
putc (thumb[i] >> 11 << 3, ofp);
}
free (thumb);
}
void CLASS rollei_load_raw()
{
uchar pixel[10];
unsigned iten=0, isix, i, buffer=0, todo[16];
isix = raw_width * raw_height * 5 / 8;
while (fread (pixel, 1, 10, ifp) == 10) {
#ifdef LIBRAW_LIBRARY_BUILD
checkCancel();
#endif
for (i=0; i < 10; i+=2) {
todo[i] = iten++;
todo[i+1] = pixel[i] << 8 | pixel[i+1];
buffer = pixel[i] >> 2 | buffer << 6;
}
for ( ; i < 16; i+=2) {
todo[i] = isix++;
todo[i+1] = buffer >> (14-i)*5;
}
for (i=0; i < 16; i+=2)
raw_image[todo[i]] = (todo[i+1] & 0x3ff);
}
maximum = 0x3ff;
}
int CLASS raw (unsigned row, unsigned col)
{
return (row < raw_height && col < raw_width) ? RAW(row,col) : 0;
}
void CLASS phase_one_flat_field (int is_float, int nc)
{
ushort head[8];
unsigned wide, high, y, x, c, rend, cend, row, col;
float *mrow, num, mult[4];
read_shorts (head, 8);
if (head[2] * head[3] * head[4] * head[5] == 0) return;
wide = head[2] / head[4] + (head[2] % head[4] != 0);
high = head[3] / head[5] + (head[3] % head[5] != 0);
mrow = (float *) calloc (nc*wide, sizeof *mrow);
merror (mrow, "phase_one_flat_field()");
for (y=0; y < high; y++) {
#ifdef LIBRAW_LIBRARY_BUILD
checkCancel();
#endif
for (x=0; x < wide; x++)
for (c=0; c < nc; c+=2) {
num = is_float ? getreal(11) : get2()/32768.0;
if (y==0) mrow[c*wide+x] = num;
else mrow[(c+1)*wide+x] = (num - mrow[c*wide+x]) / head[5];
}
if (y==0) continue;
rend = head[1] + y*head[5];
for (row = rend-head[5];
row < raw_height && row < rend &&
row < head[1]+head[3]-head[5]; row++) {
for (x=1; x < wide; x++) {
for (c=0; c < nc; c+=2) {
mult[c] = mrow[c*wide+x-1];
mult[c+1] = (mrow[c*wide+x] - mult[c]) / head[4];
}
cend = head[0] + x*head[4];
for (col = cend-head[4];
col < raw_width &&
col < cend && col < head[0]+head[2]-head[4]; col++) {
c = nc > 2 ? FC(row-top_margin,col-left_margin) : 0;
if (!(c & 1)) {
c = RAW(row,col) * mult[c];
RAW(row,col) = LIM(c,0,65535);
}
for (c=0; c < nc; c+=2)
mult[c] += mult[c+1];
}
}
for (x=0; x < wide; x++)
for (c=0; c < nc; c+=2)
mrow[c*wide+x] += mrow[(c+1)*wide+x];
}
}
free (mrow);
}
int CLASS phase_one_correct()
{
unsigned entries, tag, data, save, col, row, type;
int len, i, j, k, cip, val[4], dev[4], sum, max;
int head[9], diff, mindiff=INT_MAX, off_412=0;
static const signed char dir[12][2] =
{ {-1,-1}, {-1,1}, {1,-1}, {1,1}, {-2,0}, {0,-2}, {0,2}, {2,0},
{-2,-2}, {-2,2}, {2,-2}, {2,2} };
float poly[8], num, cfrac, frac, mult[2], *yval[2];
ushort *xval[2];
int qmult_applied = 0, qlin_applied = 0;
if (half_size || !meta_length) return 0;
#ifdef DCRAW_VERBOSE
if (verbose) fprintf (stderr,_("Phase One correction...\n"));
#endif
fseek (ifp, meta_offset, SEEK_SET);
order = get2();
fseek (ifp, 6, SEEK_CUR);
fseek (ifp, meta_offset+get4(), SEEK_SET);
entries = get4(); get4();
#ifdef LIBRAW_LIBRARY_BUILD
try {
#endif
while (entries--) {
#ifdef LIBRAW_LIBRARY_BUILD
checkCancel();
#endif
tag = get4();
len = get4();
data = get4();
save = ftell(ifp);
fseek (ifp, meta_offset+data, SEEK_SET);
if (tag == 0x419) { /* Polynomial curve */
for (get4(), i=0; i < 8; i++)
poly[i] = getreal(11);
poly[3] += (ph1.tag_210 - poly[7]) * poly[6] + 1;
for (i=0; i < 0x10000; i++) {
num = (poly[5]*i + poly[3])*i + poly[1];
curve[i] = LIM(num,0,65535);
} goto apply; /* apply to right half */
} else if (tag == 0x41a) { /* Polynomial curve */
for (i=0; i < 4; i++)
poly[i] = getreal(11);
for (i=0; i < 0x10000; i++) {
for (num=0, j=4; j--; )
num = num * i + poly[j];
curve[i] = LIM(num+i,0,65535);
} apply: /* apply to whole image */
for (row=0; row < raw_height; row++)
{
#ifdef LIBRAW_LIBRARY_BUILD
checkCancel();
#endif
for (col = (tag & 1)*ph1.split_col; col < raw_width; col++)
RAW(row,col) = curve[RAW(row,col)];
}
} else if (tag == 0x400) { /* Sensor defects */
while ((len -= 8) >= 0) {
col = get2();
row = get2();
type = get2(); get2();
if (col >= raw_width) continue;
if (type == 131 || type == 137) /* Bad column */
for (row=0; row < raw_height; row++)
if (FC(row-top_margin,col-left_margin) == 1) {
for (sum=i=0; i < 4; i++)
sum += val[i] = raw (row+dir[i][0], col+dir[i][1]);
for (max=i=0; i < 4; i++) {
dev[i] = abs((val[i] << 2) - sum);
if (dev[max] < dev[i]) max = i;
}
RAW(row,col) = (sum - val[max])/3.0 + 0.5;
} else {
for (sum=0, i=8; i < 12; i++)
sum += raw (row+dir[i][0], col+dir[i][1]);
RAW(row,col) = 0.5 + sum * 0.0732233 +
(raw(row,col-2) + raw(row,col+2)) * 0.3535534;
}
else if (type == 129) { /* Bad pixel */
if (row >= raw_height) continue;
j = (FC(row-top_margin,col-left_margin) != 1) * 4;
for (sum=0, i=j; i < j+8; i++)
sum += raw (row+dir[i][0], col+dir[i][1]);
RAW(row,col) = (sum + 4) >> 3;
}
}
} else if (tag == 0x401) { /* All-color flat fields */
phase_one_flat_field (1, 2);
} else if (tag == 0x416 || tag == 0x410) {
phase_one_flat_field (0, 2);
} else if (tag == 0x40b) { /* Red+blue flat field */
phase_one_flat_field (0, 4);
} else if (tag == 0x412) {
fseek (ifp, 36, SEEK_CUR);
diff = abs (get2() - ph1.tag_21a);
if (mindiff > diff) {
mindiff = diff;
off_412 = ftell(ifp) - 38;
}
} else if (tag == 0x41f && !qlin_applied) { /* Quadrant linearization */
ushort lc[2][2][16], ref[16];
int qr, qc;
for (qr = 0; qr < 2; qr++)
for (qc = 0; qc < 2; qc++)
for (i = 0; i < 16; i++)
lc[qr][qc][i] = (ushort)get4();
for (i = 0; i < 16; i++) {
int v = 0;
for (qr = 0; qr < 2; qr++)
for (qc = 0; qc < 2; qc++)
v += lc[qr][qc][i];
ref[i] = (v + 2) >> 2;
}
for (qr = 0; qr < 2; qr++) {
for (qc = 0; qc < 2; qc++) {
int cx[19], cf[19];
for (i = 0; i < 16; i++) {
cx[1+i] = lc[qr][qc][i];
cf[1+i] = ref[i];
}
cx[0] = cf[0] = 0;
cx[17] = cf[17] = ((unsigned int)ref[15] * 65535) / lc[qr][qc][15];
cf[18] = cx[18] = 65535;
cubic_spline(cx, cf, 19);
for (row = (qr ? ph1.split_row : 0);
row < (qr ? raw_height : ph1.split_row); row++)
{
#ifdef LIBRAW_LIBRARY_BUILD
checkCancel();
#endif
for (col = (qc ? ph1.split_col : 0);
col < (qc ? raw_width : ph1.split_col); col++)
RAW(row,col) = curve[RAW(row,col)];
}
}
}
qlin_applied = 1;
} else if (tag == 0x41e && !qmult_applied) { /* Quadrant multipliers */
float qmult[2][2] = { { 1, 1 }, { 1, 1 } };
get4(); get4(); get4(); get4();
qmult[0][0] = 1.0 + getreal(11);
get4(); get4(); get4(); get4(); get4();
qmult[0][1] = 1.0 + getreal(11);
get4(); get4(); get4();
qmult[1][0] = 1.0 + getreal(11);
get4(); get4(); get4();
qmult[1][1] = 1.0 + getreal(11);
for (row=0; row < raw_height; row++)
{
#ifdef LIBRAW_LIBRARY_BUILD
checkCancel();
#endif
for (col=0; col < raw_width; col++) {
i = qmult[row >= ph1.split_row][col >= ph1.split_col] * RAW(row,col);
RAW(row,col) = LIM(i,0,65535);
}
}
qmult_applied = 1;
} else if (tag == 0x431 && !qmult_applied) { /* Quadrant combined */
ushort lc[2][2][7], ref[7];
int qr, qc;
for (i = 0; i < 7; i++)
ref[i] = (ushort)get4();
for (qr = 0; qr < 2; qr++)
for (qc = 0; qc < 2; qc++)
for (i = 0; i < 7; i++)
lc[qr][qc][i] = (ushort)get4();
for (qr = 0; qr < 2; qr++) {
for (qc = 0; qc < 2; qc++) {
int cx[9], cf[9];
for (i = 0; i < 7; i++) {
cx[1+i] = ref[i];
cf[1+i] = ((unsigned int)ref[i] * lc[qr][qc][i]) / 10000;
}
cx[0] = cf[0] = 0;
cx[8] = cf[8] = 65535;
cubic_spline(cx, cf, 9);
for (row = (qr ? ph1.split_row : 0);
row < (qr ? raw_height : ph1.split_row); row++)
{
#ifdef LIBRAW_LIBRARY_BUILD
checkCancel();
#endif
for (col = (qc ? ph1.split_col : 0);
col < (qc ? raw_width : ph1.split_col); col++)
RAW(row,col) = curve[RAW(row,col)];
}
}
}
qmult_applied = 1;
qlin_applied = 1;
}
fseek (ifp, save, SEEK_SET);
}
if (off_412) {
fseek (ifp, off_412, SEEK_SET);
for (i=0; i < 9; i++) head[i] = get4() & 0x7fff;
yval[0] = (float *) calloc (head[1]*head[3] + head[2]*head[4], 6);
merror (yval[0], "phase_one_correct()");
yval[1] = (float *) (yval[0] + head[1]*head[3]);
xval[0] = (ushort *) (yval[1] + head[2]*head[4]);
xval[1] = (ushort *) (xval[0] + head[1]*head[3]);
get2();
for (i=0; i < 2; i++)
for (j=0; j < head[i+1]*head[i+3]; j++)
yval[i][j] = getreal(11);
for (i=0; i < 2; i++)
for (j=0; j < head[i+1]*head[i+3]; j++)
xval[i][j] = get2();
for (row=0; row < raw_height; row++)
{
#ifdef LIBRAW_LIBRARY_BUILD
checkCancel();
#endif
for (col=0; col < raw_width; col++) {
cfrac = (float) col * head[3] / raw_width;
cfrac -= cip = cfrac;
num = RAW(row,col) * 0.5;
for (i=cip; i < cip+2; i++) {
for (k=j=0; j < head[1]; j++)
if (num < xval[0][k = head[1]*i+j]) break;
frac = (j == 0 || j == head[1]) ? 0 :
(xval[0][k] - num) / (xval[0][k] - xval[0][k-1]);
mult[i-cip] = yval[0][k-1] * frac + yval[0][k] * (1-frac);
}
i = ((mult[0] * (1-cfrac) + mult[1] * cfrac) * row + num) * 2;
RAW(row,col) = LIM(i,0,65535);
}
}
free (yval[0]);
}
#ifdef LIBRAW_LIBRARY_BUILD
}
catch (...)
{
return LIBRAW_CANCELLED_BY_CALLBACK;
}
#endif
}
void CLASS phase_one_load_raw()
{
int a, b, i;
ushort akey, bkey, t_mask;
fseek (ifp, ph1.key_off, SEEK_SET);
akey = get2();
bkey = get2();
t_mask = ph1.format == 1 ? 0x5555:0x1354;
#ifdef LIBRAW_LIBRARY_BUILD
if (ph1.black_col || ph1.black_row )
{
imgdata.rawdata.ph1_cblack = (short(*)[2])calloc(raw_height*2,sizeof(ushort));
merror(imgdata.rawdata.ph1_cblack,"phase_one_load_raw()");
imgdata.rawdata.ph1_rblack = (short(*)[2])calloc(raw_width*2,sizeof(ushort));
merror(imgdata.rawdata.ph1_rblack,"phase_one_load_raw()");
if (ph1.black_col)
{
fseek (ifp, ph1.black_col, SEEK_SET);
read_shorts ((ushort *)imgdata.rawdata.ph1_cblack[0], raw_height*2);
}
if (ph1.black_row)
{
fseek (ifp, ph1.black_row, SEEK_SET);
read_shorts ((ushort *) imgdata.rawdata.ph1_rblack[0], raw_width*2);
}
}
#endif
fseek (ifp, data_offset, SEEK_SET);
read_shorts (raw_image, raw_width*raw_height);
if (ph1.format)
for (i=0; i < raw_width*raw_height; i+=2) {
a = raw_image[i+0] ^ akey;
b = raw_image[i+1] ^ bkey;
raw_image[i+0] = (a & t_mask) | (b & ~t_mask);
raw_image[i+1] = (b & t_mask) | (a & ~t_mask);
}
}
unsigned CLASS ph1_bithuff (int nbits, ushort *huff)
{
#ifndef LIBRAW_NOTHREADS
#define bitbuf tls->ph1_bits.bitbuf
#define vbits tls->ph1_bits.vbits
#else
static UINT64 bitbuf=0;
static int vbits=0;
#endif
unsigned c;
if (nbits == -1)
return bitbuf = vbits = 0;
if (nbits == 0) return 0;
if (vbits < nbits) {
bitbuf = bitbuf << 32 | get4();
vbits += 32;
}
c = bitbuf << (64-vbits) >> (64-nbits);
if (huff) {
vbits -= huff[c] >> 8;
return (uchar) huff[c];
}
vbits -= nbits;
return c;
#ifndef LIBRAW_NOTHREADS
#undef bitbuf
#undef vbits
#endif
}
#define ph1_bits(n) ph1_bithuff(n,0)
#define ph1_huff(h) ph1_bithuff(*h,h+1)
void CLASS phase_one_load_raw_c()
{
static const int length[] = { 8,7,6,9,11,10,5,12,14,13 };
int *offset, len[2], pred[2], row, col, i, j;
ushort *pixel;
short (*c_black)[2], (*r_black)[2];
#ifdef LIBRAW_LIBRARY_BUILD
if(ph1.format == 6)
throw LIBRAW_EXCEPTION_IO_CORRUPT;
#endif
pixel = (ushort *) calloc (raw_width*3 + raw_height*4, 2);
merror (pixel, "phase_one_load_raw_c()");
offset = (int *) (pixel + raw_width);
fseek (ifp, strip_offset, SEEK_SET);
for (row=0; row < raw_height; row++)
offset[row] = get4();
c_black = (short (*)[2]) (offset + raw_height);
fseek (ifp, ph1.black_col, SEEK_SET);
if (ph1.black_col)
read_shorts ((ushort *) c_black[0], raw_height*2);
r_black = c_black + raw_height;
fseek (ifp, ph1.black_row, SEEK_SET);
if (ph1.black_row)
read_shorts ((ushort *) r_black[0], raw_width*2);
#ifdef LIBRAW_LIBRARY_BUILD
// Copy data to internal copy (ever if not read)
if (ph1.black_col || ph1.black_row )
{
imgdata.rawdata.ph1_cblack = (short(*)[2])calloc(raw_height*2,sizeof(ushort));
merror(imgdata.rawdata.ph1_cblack,"phase_one_load_raw_c()");
memmove(imgdata.rawdata.ph1_cblack,(ushort*)c_black[0],raw_height*2*sizeof(ushort));
imgdata.rawdata.ph1_rblack = (short(*)[2])calloc(raw_width*2,sizeof(ushort));
merror(imgdata.rawdata.ph1_rblack,"phase_one_load_raw_c()");
memmove(imgdata.rawdata.ph1_rblack,(ushort*)r_black[0],raw_width*2*sizeof(ushort));
}
#endif
for (i=0; i < 256; i++)
curve[i] = i*i / 3.969 + 0.5;
#ifdef LIBRAW_LIBRARY_BUILD
try {
#endif
for (row=0; row < raw_height; row++) {
#ifdef LIBRAW_LIBRARY_BUILD
checkCancel();
#endif
fseek (ifp, data_offset + offset[row], SEEK_SET);
ph1_bits(-1);
pred[0] = pred[1] = 0;
for (col=0; col < raw_width; col++) {
if (col >= (raw_width & -8))
len[0] = len[1] = 14;
else if ((col & 7) == 0)
for (i=0; i < 2; i++) {
for (j=0; j < 5 && !ph1_bits(1); j++);
if (j--) len[i] = length[j*2 + ph1_bits(1)];
}
if ((i = len[col & 1]) == 14)
pixel[col] = pred[col & 1] = ph1_bits(16);
else
pixel[col] = pred[col & 1] += ph1_bits(i) + 1 - (1 << (i - 1));
if (pred[col & 1] >> 16) derror();
if (ph1.format == 5 && pixel[col] < 256)
pixel[col] = curve[pixel[col]];
}
for (col=0; col < raw_width; col++) {
#ifndef LIBRAW_LIBRARY_BUILD
i = (pixel[col] << 2) - ph1.t_black
+ c_black[row][col >= ph1.split_col]
+ r_black[col][row >= ph1.split_row];
if (i > 0) RAW(row,col) = i;
#else
RAW(row,col) = pixel[col] << 2;
#endif
}
}
#ifdef LIBRAW_LIBRARY_BUILD
} catch(...) {
free (pixel);
throw;
}
#endif
free (pixel);
maximum = 0xfffc - ph1.t_black;
}
void CLASS hasselblad_load_raw()
{
struct jhead jh;
int shot, row, col, *back[5], len[2], diff[12], pred, sh, f, s, c;
unsigned upix, urow, ucol;
ushort *ip;
if (!ljpeg_start (&jh, 0)) return;
order = 0x4949;
ph1_bits(-1);
#ifdef LIBRAW_LIBRARY_BUILD
try {
#endif
back[4] = (int *) calloc (raw_width, 3*sizeof **back);
merror (back[4], "hasselblad_load_raw()");
FORC3 back[c] = back[4] + c*raw_width;
cblack[6] >>= sh = tiff_samples > 1;
shot = LIM(shot_select, 1, tiff_samples) - 1;
for (row=0; row < raw_height; row++) {
#ifdef LIBRAW_LIBRARY_BUILD
checkCancel();
#endif
FORC4 back[(c+3) & 3] = back[c];
for (col=0; col < raw_width; col+=2) {
for (s=0; s < tiff_samples*2; s+=2) {
FORC(2) len[c] = ph1_huff(jh.huff[0]);
FORC(2) {
diff[s+c] = ph1_bits(len[c]);
if ((diff[s+c] & (1 << (len[c]-1))) == 0)
diff[s+c] -= (1 << len[c]) - 1;
if (diff[s+c] == 65535) diff[s+c] = -32768;
}
}
for (s=col; s < col+2; s++) {
pred = 0x8000 + load_flags;
if (col) pred = back[2][s-2];
if (col && row > 1) switch (jh.psv) {
case 11: pred += back[0][s]/2 - back[0][s-2]/2; break;
}
f = (row & 1)*3 ^ ((col+s) & 1);
FORC (tiff_samples) {
pred += diff[(s & 1)*tiff_samples+c];
upix = pred >> sh & 0xffff;
if (raw_image && c == shot)
RAW(row,s) = upix;
if (image) {
urow = row-top_margin + (c & 1);
ucol = col-left_margin - ((c >> 1) & 1);
ip = &image[urow*width+ucol][f];
if (urow < height && ucol < width)
*ip = c < 4 ? upix : (*ip + upix) >> 1;
}
}
back[2][s] = pred;
}
}
}
#ifdef LIBRAW_LIBRARY_BUILD
} catch (...){
free (back[4]);
ljpeg_end (&jh);
throw;
}
#endif
free (back[4]);
ljpeg_end (&jh);
if (image) mix_green = 1;
}
void CLASS leaf_hdr_load_raw()
{
ushort *pixel=0;
unsigned tile=0, r, c, row, col;
if (!filters) {
pixel = (ushort *) calloc (raw_width, sizeof *pixel);
merror (pixel, "leaf_hdr_load_raw()");
}
#ifdef LIBRAW_LIBRARY_BUILD
try {
#endif
FORC(tiff_samples)
for (r=0; r < raw_height; r++) {
#ifdef LIBRAW_LIBRARY_BUILD
checkCancel();
#endif
if (r % tile_length == 0) {
fseek (ifp, data_offset + 4*tile++, SEEK_SET);
fseek (ifp, get4(), SEEK_SET);
}
if (filters && c != shot_select) continue;
if (filters) pixel = raw_image + r*raw_width;
read_shorts (pixel, raw_width);
if (!filters && (row = r - top_margin) < height)
for (col=0; col < width; col++)
image[row*width+col][c] = pixel[col+left_margin];
}
#ifdef LIBRAW_LIBRARY_BUILD
} catch (...) {
if(!filters) free(pixel);
throw;
}
#endif
if (!filters) {
maximum = 0xffff;
raw_color = 1;
free (pixel);
}
}
void CLASS unpacked_load_raw()
{
int row, col, bits=0;
while (1 << ++bits < maximum);
read_shorts (raw_image, raw_width*raw_height);
for (row=0; row < raw_height; row++)
{
#ifdef LIBRAW_LIBRARY_BUILD
checkCancel();
#endif
for (col=0; col < raw_width; col++)
if ((RAW(row,col) >>= load_flags) >> bits
&& (unsigned) (row-top_margin) < height
&& (unsigned) (col-left_margin) < width) derror();
}
}
void CLASS sinar_4shot_load_raw()
{
ushort *pixel;
unsigned shot, row, col, r, c;
if (raw_image) {
shot = LIM (shot_select, 1, 4) - 1;
fseek (ifp, data_offset + shot*4, SEEK_SET);
fseek (ifp, get4(), SEEK_SET);
unpacked_load_raw();
return;
}
pixel = (ushort *) calloc (raw_width, sizeof *pixel);
merror (pixel, "sinar_4shot_load_raw()");
#ifdef LIBRAW_LIBRARY_BUILD
try {
#endif
for (shot=0; shot < 4; shot++) {
#ifdef LIBRAW_LIBRARY_BUILD
checkCancel();
#endif
fseek (ifp, data_offset + shot*4, SEEK_SET);
fseek (ifp, get4(), SEEK_SET);
for (row=0; row < raw_height; row++) {
read_shorts (pixel, raw_width);
if ((r = row-top_margin - (shot >> 1 & 1)) >= height) continue;
for (col=0; col < raw_width; col++) {
if ((c = col-left_margin - (shot & 1)) >= width) continue;
image[r*width+c][(row & 1)*3 ^ (~col & 1)] = pixel[col];
}
}
}
#ifdef LIBRAW_LIBRARY_BUILD
} catch (...) {
free(pixel);
throw;
}
#endif
free (pixel);
mix_green = 1;
}
void CLASS imacon_full_load_raw()
{
int row, col;
if (!image) return;
#ifdef LIBRAW_LIBRARY_BUILD
unsigned short *buf = (unsigned short *)malloc(width*3*sizeof(unsigned short));
merror(buf,"imacon_full_load_raw");
#endif
for (row=0; row < height; row++)
{
#ifdef LIBRAW_LIBRARY_BUILD
checkCancel();
read_shorts(buf,width*3);
unsigned short (*rowp)[4] = &image[row*width];
for (col=0; col < width; col++)
{
rowp[col][0]=buf[col*3];
rowp[col][1]=buf[col*3+1];
rowp[col][2]=buf[col*3+2];
rowp[col][3]=0;
}
#else
for (col=0; col < width; col++)
read_shorts (image[row*width+col], 3);
#endif
}
#ifdef LIBRAW_LIBRARY_BUILD
free(buf);
#endif
}
void CLASS packed_load_raw()
{
int vbits=0, bwide, rbits, bite, half, irow, row, col, val, i;
UINT64 bitbuf=0;
bwide = raw_width * tiff_bps / 8;
bwide += bwide & load_flags >> 7;
rbits = bwide * 8 - raw_width * tiff_bps;
if (load_flags & 1) bwide = bwide * 16 / 15;
bite = 8 + (load_flags & 24);
half = (raw_height+1) >> 1;
for (irow=0; irow < raw_height; irow++) {
#ifdef LIBRAW_LIBRARY_BUILD
checkCancel();
#endif
row = irow;
if (load_flags & 2 &&
(row = irow % half * 2 + irow / half) == 1 &&
load_flags & 4) {
if (vbits=0, tiff_compress)
fseek (ifp, data_offset - (-half*bwide & -2048), SEEK_SET);
else {
fseek (ifp, 0, SEEK_END);
fseek (ifp, ftell(ifp) >> 3 << 2, SEEK_SET);
}
}
for (col=0; col < raw_width; col++) {
for (vbits -= tiff_bps; vbits < 0; vbits += bite) {
bitbuf <<= bite;
for (i=0; i < bite; i+=8)
bitbuf |= (unsigned) (fgetc(ifp) << i);
}
val = bitbuf << (64-tiff_bps-vbits) >> (64-tiff_bps);
RAW(row,col ^ (load_flags >> 6 & 1)) = val;
if (load_flags & 1 && (col % 10) == 9 && fgetc(ifp) &&
row < height+top_margin && col < width+left_margin) derror();
}
vbits -= rbits;
}
}
void CLASS nokia_load_raw()
{
uchar *data, *dp;
int rev, dwide, row, col, c;
double sum[]={0,0};
rev = 3 * (order == 0x4949);
dwide = (raw_width * 5 + 1) / 4;
data = (uchar *) malloc (dwide*2);
merror (data, "nokia_load_raw()");
#ifdef LIBRAW_LIBRARY_BUILD
try {
#endif
for (row=0; row < raw_height; row++) {
#ifdef LIBRAW_LIBRARY_BUILD
checkCancel();
#endif
if (fread (data+dwide, 1, dwide, ifp) < dwide) derror();
FORC(dwide) data[c] = data[dwide+(c ^ rev)];
for (dp=data, col=0; col < raw_width; dp+=5, col+=4)
FORC4 RAW(row,col+c) = (dp[c] << 2) | (dp[4] >> (c << 1) & 3);
}
#ifdef LIBRAW_LIBRARY_BUILD
} catch (...){
free (data);
throw;
}
#endif
free (data);
maximum = 0x3ff;
if (strcmp(make,"OmniVision")) return;
row = raw_height/2;
FORC(width-1) {
sum[ c & 1] += SQR(RAW(row,c)-RAW(row+1,c+1));
sum[~c & 1] += SQR(RAW(row+1,c)-RAW(row,c+1));
}
if (sum[1] > sum[0]) filters = 0x4b4b4b4b;
}
void CLASS android_tight_load_raw()
{
uchar *data, *dp;
int bwide, row, col, c;
bwide = -(-5*raw_width >> 5) << 3;
data = (uchar *) malloc (bwide);
merror (data, "android_tight_load_raw()");
for (row=0; row < raw_height; row++) {
if (fread (data, 1, bwide, ifp) < bwide) derror();
for (dp=data, col=0; col < raw_width; dp+=5, col+=4)
FORC4 RAW(row,col+c) = (dp[c] << 2) | (dp[4] >> (c << 1) & 3);
}
free (data);
}
void CLASS android_loose_load_raw()
{
uchar *data, *dp;
int bwide, row, col, c;
UINT64 bitbuf=0;
bwide = (raw_width+5)/6 << 3;
data = (uchar *) malloc (bwide);
merror (data, "android_loose_load_raw()");
for (row=0; row < raw_height; row++) {
if (fread (data, 1, bwide, ifp) < bwide) derror();
for (dp=data, col=0; col < raw_width; dp+=8, col+=6) {
FORC(8) bitbuf = (bitbuf << 8) | dp[c^7];
FORC(6) RAW(row,col+c) = (bitbuf >> c*10) & 0x3ff;
}
}
free (data);
}
void CLASS canon_rmf_load_raw()
{
int row, col, bits, orow, ocol, c;
#ifdef LIBRAW_LIBRARY_BUILD
int *words = (int*)malloc(sizeof(int)*(raw_width/3+1));
merror(words,"canon_rmf_load_raw");
#endif
for (row=0; row < raw_height; row++)
{
#ifdef LIBRAW_LIBRARY_BUILD
checkCancel();
fread(words,sizeof(int),raw_width/3,ifp);
for (col=0; col < raw_width-2; col+=3)
{
bits = words[col/3];
FORC3 {
orow = row;
if ((ocol = col+c-4) < 0)
{
ocol += raw_width;
if ((orow -= 2) < 0)
orow += raw_height;
}
RAW(orow,ocol) = curve[bits >> (10*c+2) & 0x3ff];
}
}
#else
for (col=0; col < raw_width-2; col+=3) {
bits = get4();
FORC3 {
orow = row;
if ((ocol = col+c-4) < 0) {
ocol += raw_width;
if ((orow -= 2) < 0)
orow += raw_height;
}
RAW(orow,ocol) = curve[bits >> (10*c+2) & 0x3ff];
}
}
#endif
}
#ifdef LIBRAW_LIBRARY_BUILD
free(words);
#endif
maximum = curve[0x3ff];
}
unsigned CLASS pana_bits (int nbits)
{
#ifndef LIBRAW_NOTHREADS
#define buf tls->pana_bits.buf
#define vbits tls->pana_bits.vbits
#else
static uchar buf[0x4000];
static int vbits;
#endif
int byte;
if (!nbits) return vbits=0;
if (!vbits) {
fread (buf+load_flags, 1, 0x4000-load_flags, ifp);
fread (buf, 1, load_flags, ifp);
}
vbits = (vbits - nbits) & 0x1ffff;
byte = vbits >> 3 ^ 0x3ff0;
return (buf[byte] | buf[byte+1] << 8) >> (vbits & 7) & ~((~0u) << nbits);
#ifndef LIBRAW_NOTHREADS
#undef buf
#undef vbits
#endif
}
void CLASS panasonic_load_raw()
{
int row, col, i, j, sh=0, pred[2], nonz[2];
pana_bits(0);
for (row=0; row < height; row++)
{
#ifdef LIBRAW_LIBRARY_BUILD
checkCancel();
#endif
for (col=0; col < raw_width; col++) {
if ((i = col % 14) == 0)
pred[0] = pred[1] = nonz[0] = nonz[1] = 0;
if (i % 3 == 2) sh = 4 >> (3 - pana_bits(2));
if (nonz[i & 1]) {
if ((j = pana_bits(8))) {
if ((pred[i & 1] -= 0x80 << sh) < 0 || sh == 4)
pred[i & 1] &= ~((~0u) << sh);
pred[i & 1] += j << sh;
}
} else if ((nonz[i & 1] = pana_bits(8)) || i > 11)
pred[i & 1] = nonz[i & 1] << 4 | pana_bits(4);
if ((RAW(row,col) = pred[col & 1]) > 4098 && col < width) derror();
}
}
}
void CLASS olympus_load_raw()
{
ushort huff[4096];
int row, col, nbits, sign, low, high, i, c, w, n, nw;
int acarry[2][3], *carry, pred, diff;
huff[n=0] = 0xc0c;
for (i=12; i--; )
FORC(2048 >> i) huff[++n] = (i+1) << 8 | i;
fseek (ifp, 7, SEEK_CUR);
getbits(-1);
for (row=0; row < height; row++) {
#ifdef LIBRAW_LIBRARY_BUILD
checkCancel();
#endif
memset (acarry, 0, sizeof acarry);
for (col=0; col < raw_width; col++) {
carry = acarry[col & 1];
i = 2 * (carry[2] < 3);
for (nbits=2+i; (ushort) carry[0] >> (nbits+i); nbits++);
low = (sign = getbits(3)) & 3;
sign = sign << 29 >> 31;
if ((high = getbithuff(12,huff)) == 12)
high = getbits(16-nbits) >> 1;
carry[0] = (high << nbits) | getbits(nbits);
diff = (carry[0] ^ sign) + carry[1];
carry[1] = (diff*3 + carry[1]) >> 5;
carry[2] = carry[0] > 16 ? 0 : carry[2]+1;
if (col >= width) continue;
if (row < 2 && col < 2) pred = 0;
else if (row < 2) pred = RAW(row,col-2);
else if (col < 2) pred = RAW(row-2,col);
else {
w = RAW(row,col-2);
n = RAW(row-2,col);
nw = RAW(row-2,col-2);
if ((w < nw && nw < n) || (n < nw && nw < w)) {
if (ABS(w-nw) > 32 || ABS(n-nw) > 32)
pred = w + n - nw;
else pred = (w + n) >> 1;
} else pred = ABS(w-nw) > ABS(n-nw) ? w : n;
}
if ((RAW(row,col) = pred + ((diff << 2) | low)) >> 12) derror();
}
}
}
void CLASS minolta_rd175_load_raw()
{
uchar pixel[768];
unsigned irow, box, row, col;
for (irow=0; irow < 1481; irow++) {
#ifdef LIBRAW_LIBRARY_BUILD
checkCancel();
#endif
if (fread (pixel, 1, 768, ifp) < 768) derror();
box = irow / 82;
row = irow % 82 * 12 + ((box < 12) ? box | 1 : (box-12)*2);
switch (irow) {
case 1477: case 1479: continue;
case 1476: row = 984; break;
case 1480: row = 985; break;
case 1478: row = 985; box = 1;
}
if ((box < 12) && (box & 1)) {
for (col=0; col < 1533; col++, row ^= 1)
if (col != 1) RAW(row,col) = (col+1) & 2 ?
pixel[col/2-1] + pixel[col/2+1] : pixel[col/2] << 1;
RAW(row,1) = pixel[1] << 1;
RAW(row,1533) = pixel[765] << 1;
} else
for (col=row & 1; col < 1534; col+=2)
RAW(row,col) = pixel[col/2] << 1;
}
maximum = 0xff << 1;
}
void CLASS quicktake_100_load_raw()
{
uchar pixel[484][644];
static const short gstep[16] =
{ -89,-60,-44,-32,-22,-15,-8,-2,2,8,15,22,32,44,60,89 };
static const short rstep[6][4] =
{ { -3,-1,1,3 }, { -5,-1,1,5 }, { -8,-2,2,8 },
{ -13,-3,3,13 }, { -19,-4,4,19 }, { -28,-6,6,28 } };
static const short t_curve[256] =
{ 0,1,2,3,4,5,6,7,8,9,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,
28,29,30,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,53,
54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,74,75,76,77,78,
79,80,81,82,83,84,86,88,90,92,94,97,99,101,103,105,107,110,112,114,116,
118,120,123,125,127,129,131,134,136,138,140,142,144,147,149,151,153,155,
158,160,162,164,166,168,171,173,175,177,179,181,184,186,188,190,192,195,
197,199,201,203,205,208,210,212,214,216,218,221,223,226,230,235,239,244,
248,252,257,261,265,270,274,278,283,287,291,296,300,305,309,313,318,322,
326,331,335,339,344,348,352,357,361,365,370,374,379,383,387,392,396,400,
405,409,413,418,422,426,431,435,440,444,448,453,457,461,466,470,474,479,
483,487,492,496,500,508,519,531,542,553,564,575,587,598,609,620,631,643,
654,665,676,687,698,710,721,732,743,754,766,777,788,799,810,822,833,844,
855,866,878,889,900,911,922,933,945,956,967,978,989,1001,1012,1023 };
int rb, row, col, sharp, val=0;
getbits(-1);
memset (pixel, 0x80, sizeof pixel);
for (row=2; row < height+2; row++) {
#ifdef LIBRAW_LIBRARY_BUILD
checkCancel();
#endif
for (col=2+(row & 1); col < width+2; col+=2) {
val = ((pixel[row-1][col-1] + 2*pixel[row-1][col+1] +
pixel[row][col-2]) >> 2) + gstep[getbits(4)];
pixel[row][col] = val = LIM(val,0,255);
if (col < 4)
pixel[row][col-2] = pixel[row+1][~row & 1] = val;
if (row == 2)
pixel[row-1][col+1] = pixel[row-1][col+3] = val;
}
pixel[row][col] = val;
}
for (rb=0; rb < 2; rb++)
for (row=2+rb; row < height+2; row+=2)
{
#ifdef LIBRAW_LIBRARY_BUILD
checkCancel();
#endif
for (col=3-(row & 1); col < width+2; col+=2) {
if (row < 4 || col < 4) sharp = 2;
else {
val = ABS(pixel[row-2][col] - pixel[row][col-2])
+ ABS(pixel[row-2][col] - pixel[row-2][col-2])
+ ABS(pixel[row][col-2] - pixel[row-2][col-2]);
sharp = val < 4 ? 0 : val < 8 ? 1 : val < 16 ? 2 :
val < 32 ? 3 : val < 48 ? 4 : 5;
}
val = ((pixel[row-2][col] + pixel[row][col-2]) >> 1)
+ rstep[sharp][getbits(2)];
pixel[row][col] = val = LIM(val,0,255);
if (row < 4) pixel[row-2][col+2] = val;
if (col < 4) pixel[row+2][col-2] = val;
}
}
for (row=2; row < height+2; row++)
{
#ifdef LIBRAW_LIBRARY_BUILD
checkCancel();
#endif
for (col=3-(row & 1); col < width+2; col+=2) {
val = ((pixel[row][col-1] + (pixel[row][col] << 2) +
pixel[row][col+1]) >> 1) - 0x100;
pixel[row][col] = LIM(val,0,255);
}
}
for (row=0; row < height; row++)
{
#ifdef LIBRAW_LIBRARY_BUILD
checkCancel();
#endif
for (col=0; col < width; col++)
RAW(row,col) = t_curve[pixel[row+2][col+2]];
}
maximum = 0x3ff;
}
#define radc_token(tree) ((signed char) getbithuff(8,huff[tree]))
#define FORYX for (y=1; y < 3; y++) for (x=col+1; x >= col; x--)
#define PREDICTOR (c ? (buf[c][y-1][x] + buf[c][y][x+1]) / 2 \
: (buf[c][y-1][x+1] + 2*buf[c][y-1][x] + buf[c][y][x+1]) / 4)
#ifdef __GNUC__
# if __GNUC__ > 4 || (__GNUC__ == 4 && __GNUC_MINOR__ >= 8)
# pragma GCC optimize("no-aggressive-loop-optimizations")
# endif
#endif
void CLASS kodak_radc_load_raw()
{
static const char src[] = {
1,1, 2,3, 3,4, 4,2, 5,7, 6,5, 7,6, 7,8,
1,0, 2,1, 3,3, 4,4, 5,2, 6,7, 7,6, 8,5, 8,8,
2,1, 2,3, 3,0, 3,2, 3,4, 4,6, 5,5, 6,7, 6,8,
2,0, 2,1, 2,3, 3,2, 4,4, 5,6, 6,7, 7,5, 7,8,
2,1, 2,4, 3,0, 3,2, 3,3, 4,7, 5,5, 6,6, 6,8,
2,3, 3,1, 3,2, 3,4, 3,5, 3,6, 4,7, 5,0, 5,8,
2,3, 2,6, 3,0, 3,1, 4,4, 4,5, 4,7, 5,2, 5,8,
2,4, 2,7, 3,3, 3,6, 4,1, 4,2, 4,5, 5,0, 5,8,
2,6, 3,1, 3,3, 3,5, 3,7, 3,8, 4,0, 5,2, 5,4,
2,0, 2,1, 3,2, 3,3, 4,4, 4,5, 5,6, 5,7, 4,8,
1,0, 2,2, 2,-2,
1,-3, 1,3,
2,-17, 2,-5, 2,5, 2,17,
2,-7, 2,2, 2,9, 2,18,
2,-18, 2,-9, 2,-2, 2,7,
2,-28, 2,28, 3,-49, 3,-9, 3,9, 4,49, 5,-79, 5,79,
2,-1, 2,13, 2,26, 3,39, 4,-16, 5,55, 6,-37, 6,76,
2,-26, 2,-13, 2,1, 3,-39, 4,16, 5,-55, 6,-76, 6,37
};
ushort huff[19][256];
int row, col, tree, nreps, rep, step, i, c, s, r, x, y, val;
short last[3] = { 16,16,16 }, mul[3], buf[3][3][386];
static const ushort pt[] =
{ 0,0, 1280,1344, 2320,3616, 3328,8000, 4095,16383, 65535,16383 };
for (i=2; i < 12; i+=2)
for (c=pt[i-2]; c <= pt[i]; c++)
curve[c] = (float)
(c-pt[i-2]) / (pt[i]-pt[i-2]) * (pt[i+1]-pt[i-1]) + pt[i-1] + 0.5;
for (s=i=0; i < sizeof src; i+=2)
FORC(256 >> src[i])
huff[0][s++] = src[i] << 8 | (uchar) src[i+1];
s = kodak_cbpp == 243 ? 2 : 3;
FORC(256) huff[18][c] = (8-s) << 8 | c >> s << s | 1 << (s-1);
getbits(-1);
for (i=0; i < sizeof(buf)/sizeof(short); i++)
buf[0][0][i] = 2048;
for (row=0; row < height; row+=4) {
#ifdef LIBRAW_LIBRARY_BUILD
checkCancel();
#endif
FORC3 mul[c] = getbits(6);
FORC3 {
val = ((0x1000000/last[c] + 0x7ff) >> 12) * mul[c];
s = val > 65564 ? 10:12;
x = ~((~0u) << (s-1));
val <<= 12-s;
for (i=0; i < sizeof(buf[0])/sizeof(short); i++)
buf[c][0][i] = (buf[c][0][i] * val + x) >> s;
last[c] = mul[c];
for (r=0; r <= !c; r++) {
buf[c][1][width/2] = buf[c][2][width/2] = mul[c] << 7;
for (tree=1, col=width/2; col > 0; ) {
if ((tree = radc_token(tree))) {
col -= 2;
if (tree == 8)
FORYX buf[c][y][x] = (uchar) radc_token(18) * mul[c];
else
FORYX buf[c][y][x] = radc_token(tree+10) * 16 + PREDICTOR;
} else
do {
nreps = (col > 2) ? radc_token(9) + 1 : 1;
for (rep=0; rep < 8 && rep < nreps && col > 0; rep++) {
col -= 2;
FORYX buf[c][y][x] = PREDICTOR;
if (rep & 1) {
step = radc_token(10) << 4;
FORYX buf[c][y][x] += step;
}
}
} while (nreps == 9);
}
for (y=0; y < 2; y++)
for (x=0; x < width/2; x++) {
val = (buf[c][y+1][x] << 4) / mul[c];
if (val < 0) val = 0;
if (c) RAW(row+y*2+c-1,x*2+2-c) = val;
else RAW(row+r*2+y,x*2+y) = val;
}
memcpy (buf[c][0]+!c, buf[c][2], sizeof buf[c][0]-2*!c);
}
}
for (y=row; y < row+4; y++)
for (x=0; x < width; x++)
if ((x+y) & 1) {
r = x ? x-1 : x+1;
s = x+1 < width ? x+1 : x-1;
val = (RAW(y,x)-2048)*2 + (RAW(y,r)+RAW(y,s))/2;
if (val < 0) val = 0;
RAW(y,x) = val;
}
}
for (i=0; i < height*width; i++)
raw_image[i] = curve[raw_image[i]];
maximum = 0x3fff;
}
#undef FORYX
#undef PREDICTOR
#ifdef NO_JPEG
void CLASS kodak_jpeg_load_raw() {}
void CLASS lossy_dng_load_raw() {}
#else
#ifndef LIBRAW_LIBRARY_BUILD
METHODDEF(boolean)
fill_input_buffer (j_decompress_ptr cinfo)
{
static uchar jpeg_buffer[4096];
size_t nbytes;
nbytes = fread (jpeg_buffer, 1, 4096, ifp);
swab (jpeg_buffer, jpeg_buffer, nbytes);
cinfo->src->next_input_byte = jpeg_buffer;
cinfo->src->bytes_in_buffer = nbytes;
return TRUE;
}
void CLASS kodak_jpeg_load_raw()
{
struct jpeg_decompress_struct cinfo;
struct jpeg_error_mgr jerr;
JSAMPARRAY buf;
JSAMPLE (*pixel)[3];
int row, col;
cinfo.err = jpeg_std_error (&jerr);
jpeg_create_decompress (&cinfo);
jpeg_stdio_src (&cinfo, ifp);
cinfo.src->fill_input_buffer = fill_input_buffer;
jpeg_read_header (&cinfo, TRUE);
jpeg_start_decompress (&cinfo);
if ((cinfo.output_width != width ) ||
(cinfo.output_height*2 != height ) ||
(cinfo.output_components != 3 )) {
fprintf (stderr,_("%s: incorrect JPEG dimensions\n"), ifname);
jpeg_destroy_decompress (&cinfo);
longjmp (failure, 3);
}
buf = (*cinfo.mem->alloc_sarray)
((j_common_ptr) &cinfo, JPOOL_IMAGE, width*3, 1);
while (cinfo.output_scanline < cinfo.output_height) {
row = cinfo.output_scanline * 2;
jpeg_read_scanlines (&cinfo, buf, 1);
pixel = (JSAMPLE (*)[3]) buf[0];
for (col=0; col < width; col+=2) {
RAW(row+0,col+0) = pixel[col+0][1] << 1;
RAW(row+1,col+1) = pixel[col+1][1] << 1;
RAW(row+0,col+1) = pixel[col][0] + pixel[col+1][0];
RAW(row+1,col+0) = pixel[col][2] + pixel[col+1][2];
}
}
jpeg_finish_decompress (&cinfo);
jpeg_destroy_decompress (&cinfo);
maximum = 0xff << 1;
}
#else
struct jpegErrorManager {
struct jpeg_error_mgr pub;
};
static void jpegErrorExit (j_common_ptr cinfo)
{
jpegErrorManager* myerr = (jpegErrorManager*) cinfo->err;
throw LIBRAW_EXCEPTION_DECODE_JPEG;
}
// LibRaw's Kodak_jpeg_load_raw
void CLASS kodak_jpeg_load_raw()
{
if(data_size < 1)
throw LIBRAW_EXCEPTION_DECODE_JPEG;
int row, col;
jpegErrorManager jerr;
struct jpeg_decompress_struct cinfo;
cinfo.err = jpeg_std_error(&jerr.pub);
jerr.pub.error_exit = jpegErrorExit;
unsigned char *jpg_buf = (unsigned char *)malloc(data_size);
merror(jpg_buf,"kodak_jpeg_load_raw");
unsigned char *pixel_buf = (unsigned char*) malloc(width*3);
jpeg_create_decompress (&cinfo);
merror(pixel_buf,"kodak_jpeg_load_raw");
fread(jpg_buf,data_size,1,ifp);
swab ((char*)jpg_buf, (char*)jpg_buf, data_size);
try
{
jpeg_mem_src(&cinfo, jpg_buf, data_size);
int rc = jpeg_read_header(&cinfo, TRUE);
if(rc!=1)
throw LIBRAW_EXCEPTION_DECODE_JPEG;
jpeg_start_decompress (&cinfo);
if ((cinfo.output_width != width ) ||
(cinfo.output_height*2 != height ) ||
(cinfo.output_components != 3 ))
{
throw LIBRAW_EXCEPTION_DECODE_JPEG;
}
unsigned char *buf[1];
buf[0] = pixel_buf;
while (cinfo.output_scanline < cinfo.output_height)
{
checkCancel();
row = cinfo.output_scanline * 2;
jpeg_read_scanlines (&cinfo, buf, 1);
unsigned char (*pixel)[3] = (unsigned char (*)[3]) buf[0];
for (col=0; col < width; col+=2) {
RAW(row+0,col+0) = pixel[col+0][1] << 1;
RAW(row+1,col+1) = pixel[col+1][1] << 1;
RAW(row+0,col+1) = pixel[col][0] + pixel[col+1][0];
RAW(row+1,col+0) = pixel[col][2] + pixel[col+1][2];
}
}
}
catch (...)
{
jpeg_finish_decompress (&cinfo);
jpeg_destroy_decompress (&cinfo);
free(jpg_buf);
free(pixel_buf);
throw;
}
jpeg_finish_decompress (&cinfo);
jpeg_destroy_decompress (&cinfo);
free(jpg_buf);
free(pixel_buf);
maximum = 0xff << 1;
}
#endif
#ifndef LIBRAW_LIBRARY_BUILD
void CLASS gamma_curve (double pwr, double ts, int mode, int imax);
#endif
void CLASS lossy_dng_load_raw()
{
struct jpeg_decompress_struct cinfo;
struct jpeg_error_mgr jerr;
JSAMPARRAY buf;
JSAMPLE (*pixel)[3];
unsigned sorder=order, ntags, opcode, deg, i, j, c;
unsigned save=data_offset-4, trow=0, tcol=0, row, col;
ushort cur[3][256];
double coeff[9], tot;
if (meta_offset) {
fseek (ifp, meta_offset, SEEK_SET);
order = 0x4d4d;
ntags = get4();
while (ntags--) {
opcode = get4(); get4(); get4();
if (opcode != 8)
{ fseek (ifp, get4(), SEEK_CUR); continue; }
fseek (ifp, 20, SEEK_CUR);
if ((c = get4()) > 2) break;
fseek (ifp, 12, SEEK_CUR);
if ((deg = get4()) > 8) break;
for (i=0; i <= deg && i < 9; i++)
coeff[i] = getreal(12);
for (i=0; i < 256; i++) {
for (tot=j=0; j <= deg; j++)
tot += coeff[j] * pow(i/255.0, (int)j);
cur[c][i] = tot*0xffff;
}
}
order = sorder;
} else {
gamma_curve (1/2.4, 12.92, 1, 255);
FORC3 memcpy (cur[c], curve, sizeof cur[0]);
}
cinfo.err = jpeg_std_error (&jerr);
jpeg_create_decompress (&cinfo);
while (trow < raw_height) {
fseek (ifp, save+=4, SEEK_SET);
if (tile_length < INT_MAX)
fseek (ifp, get4(), SEEK_SET);
#ifdef LIBRAW_LIBRARY_BUILD
if(libraw_internal_data.internal_data.input->jpeg_src(&cinfo) == -1)
{
jpeg_destroy_decompress(&cinfo);
throw LIBRAW_EXCEPTION_DECODE_JPEG;
}
#else
jpeg_stdio_src (&cinfo, ifp);
#endif
jpeg_read_header (&cinfo, TRUE);
jpeg_start_decompress (&cinfo);
buf = (*cinfo.mem->alloc_sarray)
((j_common_ptr) &cinfo, JPOOL_IMAGE, cinfo.output_width*3, 1);
#ifdef LIBRAW_LIBRARY_BUILD
try {
#endif
while (cinfo.output_scanline < cinfo.output_height &&
(row = trow + cinfo.output_scanline) < height) {
#ifdef LIBRAW_LIBRARY_BUILD
checkCancel();
#endif
jpeg_read_scanlines (&cinfo, buf, 1);
pixel = (JSAMPLE (*)[3]) buf[0];
for (col=0; col < cinfo.output_width && tcol+col < width; col++) {
FORC3 image[row*width+tcol+col][c] = cur[c][pixel[col][c]];
}
}
#ifdef LIBRAW_LIBRARY_BUILD
} catch(...) {
jpeg_destroy_decompress (&cinfo);
throw;
}
#endif
jpeg_abort_decompress (&cinfo);
if ((tcol += tile_width) >= raw_width)
trow += tile_length + (tcol = 0);
}
jpeg_destroy_decompress (&cinfo);
maximum = 0xffff;
}
#endif
void CLASS kodak_dc120_load_raw()
{
static const int mul[4] = { 162, 192, 187, 92 };
static const int add[4] = { 0, 636, 424, 212 };
uchar pixel[848];
int row, shift, col;
for (row=0; row < height; row++) {
#ifdef LIBRAW_LIBRARY_BUILD
checkCancel();
#endif
if (fread (pixel, 1, 848, ifp) < 848) derror();
shift = row * mul[row & 3] + add[row & 3];
for (col=0; col < width; col++)
RAW(row,col) = (ushort) pixel[(col + shift) % 848];
}
maximum = 0xff;
}
void CLASS eight_bit_load_raw()
{
uchar *pixel;
unsigned row, col;
pixel = (uchar *) calloc (raw_width, sizeof *pixel);
merror (pixel, "eight_bit_load_raw()");
#ifdef LIBRAW_LIBRARY_BUILD
try {
#endif
for (row=0; row < raw_height; row++) {
#ifdef LIBRAW_LIBRARY_BUILD
checkCancel();
#endif
if (fread (pixel, 1, raw_width, ifp) < raw_width) derror();
for (col=0; col < raw_width; col++)
RAW(row,col) = curve[pixel[col]];
}
#ifdef LIBRAW_LIBRARY_BUILD
} catch(...) {
free (pixel);
throw;
}
#endif
free (pixel);
maximum = curve[0xff];
}
void CLASS kodak_c330_load_raw()
{
uchar *pixel;
int row, col, y, cb, cr, rgb[3], c;
pixel = (uchar *) calloc (raw_width, 2*sizeof *pixel);
merror (pixel, "kodak_c330_load_raw()");
#ifdef LIBRAW_LIBRARY_BUILD
try {
#endif
for (row=0; row < height; row++) {
#ifdef LIBRAW_LIBRARY_BUILD
checkCancel();
#endif
if (fread (pixel, raw_width, 2, ifp) < 2) derror();
if (load_flags && (row & 31) == 31)
fseek (ifp, raw_width*32, SEEK_CUR);
for (col=0; col < width; col++) {
y = pixel[col*2];
cb = pixel[(col*2 & -4) | 1] - 128;
cr = pixel[(col*2 & -4) | 3] - 128;
rgb[1] = y - ((cb + cr + 2) >> 2);
rgb[2] = rgb[1] + cb;
rgb[0] = rgb[1] + cr;
FORC3 image[row*width+col][c] = curve[LIM(rgb[c],0,255)];
}
}
#ifdef LIBRAW_LIBRARY_BUILD
} catch(...) {
free (pixel);
throw;
}
#endif
free (pixel);
maximum = curve[0xff];
}
void CLASS kodak_c603_load_raw()
{
uchar *pixel;
int row, col, y, cb, cr, rgb[3], c;
pixel = (uchar *) calloc (raw_width, 3*sizeof *pixel);
merror (pixel, "kodak_c603_load_raw()");
#ifdef LIBRAW_LIBRARY_BUILD
try {
#endif
for (row=0; row < height; row++) {
#ifdef LIBRAW_LIBRARY_BUILD
checkCancel();
#endif
if (~row & 1)
if (fread (pixel, raw_width, 3, ifp) < 3) derror();
for (col=0; col < width; col++) {
y = pixel[width*2*(row & 1) + col];
cb = pixel[width + (col & -2)] - 128;
cr = pixel[width + (col & -2)+1] - 128;
rgb[1] = y - ((cb + cr + 2) >> 2);
rgb[2] = rgb[1] + cb;
rgb[0] = rgb[1] + cr;
FORC3 image[row*width+col][c] = curve[LIM(rgb[c],0,255)];
}
}
#ifdef LIBRAW_LIBRARY_BUILD
} catch(...) {
free (pixel);
throw;
}
#endif
free (pixel);
maximum = curve[0xff];
}
void CLASS kodak_262_load_raw()
{
static const uchar kodak_tree[2][26] =
{ { 0,1,5,1,1,2,0,0,0,0,0,0,0,0,0,0, 0,1,2,3,4,5,6,7,8,9 },
{ 0,3,1,1,1,1,1,2,0,0,0,0,0,0,0,0, 0,1,2,3,4,5,6,7,8,9 } };
ushort *huff[2];
uchar *pixel;
int *strip, ns, c, row, col, chess, pi=0, pi1, pi2, pred, val;
FORC(2) huff[c] = make_decoder (kodak_tree[c]);
ns = (raw_height+63) >> 5;
pixel = (uchar *) malloc (raw_width*32 + ns*4);
merror (pixel, "kodak_262_load_raw()");
strip = (int *) (pixel + raw_width*32);
order = 0x4d4d;
FORC(ns) strip[c] = get4();
#ifdef LIBRAW_LIBRARY_BUILD
try {
#endif
for (row=0; row < raw_height; row++) {
#ifdef LIBRAW_LIBRARY_BUILD
checkCancel();
#endif
if ((row & 31) == 0) {
fseek (ifp, strip[row >> 5], SEEK_SET);
getbits(-1);
pi = 0;
}
for (col=0; col < raw_width; col++) {
chess = (row + col) & 1;
pi1 = chess ? pi-2 : pi-raw_width-1;
pi2 = chess ? pi-2*raw_width : pi-raw_width+1;
if (col <= chess) pi1 = -1;
if (pi1 < 0) pi1 = pi2;
if (pi2 < 0) pi2 = pi1;
if (pi1 < 0 && col > 1) pi1 = pi2 = pi-2;
pred = (pi1 < 0) ? 0 : (pixel[pi1] + pixel[pi2]) >> 1;
pixel[pi] = val = pred + ljpeg_diff (huff[chess]);
if (val >> 8) derror();
val = curve[pixel[pi++]];
RAW(row,col) = val;
}
}
#ifdef LIBRAW_LIBRARY_BUILD
} catch(...) {
free (pixel);
throw;
}
#endif
free (pixel);
FORC(2) free (huff[c]);
}
int CLASS kodak_65000_decode (short *out, int bsize)
{
uchar c, blen[768];
ushort raw[6];
INT64 bitbuf=0;
int save, bits=0, i, j, len, diff;
save = ftell(ifp);
bsize = (bsize + 3) & -4;
for (i=0; i < bsize; i+=2) {
c = fgetc(ifp);
if ((blen[i ] = c & 15) > 12 ||
(blen[i+1] = c >> 4) > 12 ) {
fseek (ifp, save, SEEK_SET);
for (i=0; i < bsize; i+=8) {
read_shorts (raw, 6);
out[i ] = raw[0] >> 12 << 8 | raw[2] >> 12 << 4 | raw[4] >> 12;
out[i+1] = raw[1] >> 12 << 8 | raw[3] >> 12 << 4 | raw[5] >> 12;
for (j=0; j < 6; j++)
out[i+2+j] = raw[j] & 0xfff;
}
return 1;
}
}
if ((bsize & 7) == 4) {
bitbuf = fgetc(ifp) << 8;
bitbuf += fgetc(ifp);
bits = 16;
}
for (i=0; i < bsize; i++) {
len = blen[i];
if (bits < len) {
for (j=0; j < 32; j+=8)
bitbuf += (INT64) fgetc(ifp) << (bits+(j^8));
bits += 32;
}
diff = bitbuf & (0xffff >> (16-len));
bitbuf >>= len;
bits -= len;
if ((diff & (1 << (len-1))) == 0)
diff -= (1 << len) - 1;
out[i] = diff;
}
return 0;
}
void CLASS kodak_65000_load_raw()
{
short buf[256];
int row, col, len, pred[2], ret, i;
for (row=0; row < height; row++)
{
#ifdef LIBRAW_LIBRARY_BUILD
checkCancel();
#endif
for (col=0; col < width; col+=256) {
pred[0] = pred[1] = 0;
len = MIN (256, width-col);
ret = kodak_65000_decode (buf, len);
for (i=0; i < len; i++)
if ((RAW(row,col+i) = curve[ret ? buf[i] :
(pred[i & 1] += buf[i])]) >> 12) derror();
}
}
}
void CLASS kodak_ycbcr_load_raw()
{
short buf[384], *bp;
int row, col, len, c, i, j, k, y[2][2], cb, cr, rgb[3];
ushort *ip;
if (!image) return;
unsigned int bits = (load_flags && load_flags > 9 && load_flags < 17)?load_flags:10;
for (row=0; row < height; row+=2)
{
#ifdef LIBRAW_LIBRARY_BUILD
checkCancel();
#endif
for (col=0; col < width; col+=128) {
len = MIN (128, width-col);
kodak_65000_decode (buf, len*3);
y[0][1] = y[1][1] = cb = cr = 0;
for (bp=buf, i=0; i < len; i+=2, bp+=2) {
cb += bp[4];
cr += bp[5];
rgb[1] = -((cb + cr + 2) >> 2);
rgb[2] = rgb[1] + cb;
rgb[0] = rgb[1] + cr;
for (j=0; j < 2; j++)
for (k=0; k < 2; k++) {
if ((y[j][k] = y[j][k^1] + *bp++) >> bits) derror();
ip = image[(row+j)*width + col+i+k];
FORC3 ip[c] = curve[LIM(y[j][k]+rgb[c], 0, 0xfff)];
}
}
}
}
}
void CLASS kodak_rgb_load_raw()
{
short buf[768], *bp;
int row, col, len, c, i, rgb[3],ret;
ushort *ip=image[0];
for (row=0; row < height; row++)
{
#ifdef LIBRAW_LIBRARY_BUILD
checkCancel();
#endif
for (col=0; col < width; col+=256) {
len = MIN (256, width-col);
ret = kodak_65000_decode (buf, len*3);
memset (rgb, 0, sizeof rgb);
for (bp=buf, i=0; i < len; i++, ip+=4)
#ifdef LIBRAW_LIBRARY_BUILD
if(load_flags == 12)
{
FORC3 ip[c] = ret ? (*bp++) : (rgb[c] += *bp++);
}
else
#endif
FORC3 if ((ip[c] = ret ? (*bp++) : (rgb[c] += *bp++)) >> 12) derror();
}
}
}
void CLASS kodak_thumb_load_raw()
{
int row, col;
colors = thumb_misc >> 5;
for (row=0; row < height; row++)
for (col=0; col < width; col++)
read_shorts (image[row*width+col], colors);
maximum = (1 << (thumb_misc & 31)) - 1;
}
void CLASS sony_decrypt (unsigned *data, int len, int start, int key)
{
#ifndef LIBRAW_NOTHREADS
#define pad tls->sony_decrypt.pad
#define p tls->sony_decrypt.p
#else
static unsigned pad[128], p;
#endif
if (start) {
for (p=0; p < 4; p++)
pad[p] = key = key * 48828125 + 1;
pad[3] = pad[3] << 1 | (pad[0]^pad[2]) >> 31;
for (p=4; p < 127; p++)
pad[p] = (pad[p-4]^pad[p-2]) << 1 | (pad[p-3]^pad[p-1]) >> 31;
for (p=0; p < 127; p++)
pad[p] = htonl(pad[p]);
}
while (len--)
{
*data++ ^= pad[p & 127] = pad[(p+1) & 127] ^ pad[(p+65) & 127];
p++;
}
#ifndef LIBRAW_NOTHREADS
#undef pad
#undef p
#endif
}
void CLASS sony_load_raw()
{
uchar head[40];
ushort *pixel;
unsigned i, key, row, col;
fseek (ifp, 200896, SEEK_SET);
fseek (ifp, (unsigned) fgetc(ifp)*4 - 1, SEEK_CUR);
order = 0x4d4d;
key = get4();
fseek (ifp, 164600, SEEK_SET);
fread (head, 1, 40, ifp);
sony_decrypt ((unsigned int *) head, 10, 1, key);
for (i=26; i-- > 22; )
key = key << 8 | head[i];
fseek (ifp, data_offset, SEEK_SET);
for (row=0; row < raw_height; row++) {
#ifdef LIBRAW_LIBRARY_BUILD
checkCancel();
#endif
pixel = raw_image + row*raw_width;
if (fread (pixel, 2, raw_width, ifp) < raw_width) derror();
sony_decrypt ((unsigned int *) pixel, raw_width/2, !row, key);
for (col=0; col < raw_width; col++)
if ((pixel[col] = ntohs(pixel[col])) >> 14) derror();
}
maximum = 0x3ff0;
}
void CLASS sony_arw_load_raw()
{
ushort huff[32770];
static const ushort tab[18] =
{ 0xf11,0xf10,0xe0f,0xd0e,0xc0d,0xb0c,0xa0b,0x90a,0x809,
0x708,0x607,0x506,0x405,0x304,0x303,0x300,0x202,0x201 };
int i, c, n, col, row, sum=0;
huff[0] = 15;
for (n=i=0; i < 18; i++)
FORC(32768 >> (tab[i] >> 8)) huff[++n] = tab[i];
getbits(-1);
for (col = raw_width; col--; )
{
#ifdef LIBRAW_LIBRARY_BUILD
checkCancel();
#endif
for (row=0; row < raw_height+1; row+=2) {
if (row == raw_height) row = 1;
if ((sum += ljpeg_diff(huff)) >> 12) derror();
if (row < height) RAW(row,col) = sum;
}
}
}
void CLASS sony_arw2_load_raw()
{
uchar *data, *dp;
ushort pix[16];
int row, col, val, max, min, imax, imin, sh, bit, i;
data = (uchar *) malloc (raw_width+1);
merror (data, "sony_arw2_load_raw()");
#ifdef LIBRAW_LIBRARY_BUILD
try {
#endif
for (row=0; row < height; row++) {
#ifdef LIBRAW_LIBRARY_BUILD
checkCancel();
#endif
fread (data, 1, raw_width, ifp);
for (dp=data, col=0; col < raw_width-30; dp+=16) {
max = 0x7ff & (val = sget4(dp));
min = 0x7ff & val >> 11;
imax = 0x0f & val >> 22;
imin = 0x0f & val >> 26;
for (sh=0; sh < 4 && 0x80 << sh <= max-min; sh++);
#ifdef LIBRAW_LIBRARY_BUILD
/* flag checks if outside of loop */
if(imgdata.params.sony_arw2_options == LIBRAW_SONYARW2_NONE
|| imgdata.params.sony_arw2_options == LIBRAW_SONYARW2_DELTATOVALUE
)
{
for (bit=30, i=0; i < 16; i++)
if (i == imax) pix[i] = max;
else if (i == imin) pix[i] = min;
else {
pix[i] = ((sget2(dp+(bit >> 3)) >> (bit & 7) & 0x7f) << sh) + min;
if (pix[i] > 0x7ff) pix[i] = 0x7ff;
bit += 7;
}
}
else if(imgdata.params.sony_arw2_options == LIBRAW_SONYARW2_BASEONLY)
{
for (bit=30, i=0; i < 16; i++)
if (i == imax) pix[i] = max;
else if (i == imin) pix[i] = min;
else pix[i]=0;
}
else if(imgdata.params.sony_arw2_options == LIBRAW_SONYARW2_DELTAONLY)
{
for (bit=30, i=0; i < 16; i++)
if (i == imax) pix[i] = 0;
else if (i == imin) pix[i] = 0;
else {
pix[i] = ((sget2(dp+(bit >> 3)) >> (bit & 7) & 0x7f) << sh) + min;
if (pix[i] > 0x7ff) pix[i] = 0x7ff;
bit += 7;
}
}
else if(imgdata.params.sony_arw2_options == LIBRAW_SONYARW2_DELTAZEROBASE)
{
for (bit=30, i=0; i < 16; i++)
if (i == imax) pix[i] = 0;
else if (i == imin) pix[i] = 0;
else {
pix[i] = ((sget2(dp+(bit >> 3)) >> (bit & 7) & 0x7f) << sh);
if (pix[i] > 0x7ff) pix[i] = 0x7ff;
bit += 7;
}
}
#else
/* unaltered dcraw processing */
for (bit=30, i=0; i < 16; i++)
if (i == imax) pix[i] = max;
else if (i == imin) pix[i] = min;
else {
pix[i] = ((sget2(dp+(bit >> 3)) >> (bit & 7) & 0x7f) << sh) + min;
if (pix[i] > 0x7ff) pix[i] = 0x7ff;
bit += 7;
}
#endif
#ifdef LIBRAW_LIBRARY_BUILD
if(imgdata.params.sony_arw2_options == LIBRAW_SONYARW2_DELTATOVALUE)
{
for (i=0; i < 16; i++, col+=2)
{
unsigned slope = pix[i] < 1001? 2 : curve[pix[i]<<1]-curve[(pix[i]<<1)-2];
unsigned step = 1 << sh;
RAW(row,col)=curve[pix[i]<<1]>black+imgdata.params.sony_arw2_posterization_thr?
LIM(((slope*step*1000)/(curve[pix[i]<<1]-black)),0,10000):0;
}
}
else
{
for (i=0; i < 16; i++, col+=2)
RAW(row,col) = curve[pix[i] << 1];
}
#else
for (i=0; i < 16; i++, col+=2)
RAW(row,col) = curve[pix[i] << 1] >> 2;
#endif
col -= col & 1 ? 1:31;
}
}
#ifdef LIBRAW_LIBRARY_BUILD
} catch(...) {
free (data);
throw;
}
if(imgdata.params.sony_arw2_options == LIBRAW_SONYARW2_DELTATOVALUE)
maximum=10000;
#endif
free (data);
}
void CLASS samsung_load_raw()
{
int row, col, c, i, dir, op[4], len[4];
order = 0x4949;
for (row=0; row < raw_height; row++) {
#ifdef LIBRAW_LIBRARY_BUILD
checkCancel();
#endif
fseek (ifp, strip_offset+row*4, SEEK_SET);
fseek (ifp, data_offset+get4(), SEEK_SET);
ph1_bits(-1);
FORC4 len[c] = row < 2 ? 7:4;
for (col=0; col < raw_width; col+=16) {
dir = ph1_bits(1);
FORC4 op[c] = ph1_bits(2);
FORC4 switch (op[c]) {
case 3: len[c] = ph1_bits(4); break;
case 2: len[c]--; break;
case 1: len[c]++;
}
for (c=0; c < 16; c+=2) {
i = len[((c & 1) << 1) | (c >> 3)];
RAW(row,col+c) = ((signed) ph1_bits(i) << (32-i) >> (32-i)) +
(dir ? RAW(row+(~c | -2),col+c) : col ? RAW(row,col+(c | -2)) : 128);
if (c == 14) c = -1;
}
}
}
for (row=0; row < raw_height-1; row+=2)
for (col=0; col < raw_width-1; col+=2)
SWAP (RAW(row,col+1), RAW(row+1,col));
}
void CLASS samsung2_load_raw()
{
static const ushort tab[14] =
{ 0x304,0x307,0x206,0x205,0x403,0x600,0x709,
0x80a,0x90b,0xa0c,0xa0d,0x501,0x408,0x402 };
ushort huff[1026], vpred[2][2] = {{0,0},{0,0}}, hpred[2];
int i, c, n, row, col, diff;
huff[0] = 10;
for (n=i=0; i < 14; i++)
FORC(1024 >> (tab[i] >> 8)) huff[++n] = tab[i];
getbits(-1);
for (row=0; row < raw_height; row++)
{
#ifdef LIBRAW_LIBRARY_BUILD
checkCancel();
#endif
for (col=0; col < raw_width; col++) {
diff = ljpeg_diff (huff);
if (col < 2) hpred[col] = vpred[row & 1][col] += diff;
else hpred[col & 1] += diff;
RAW(row,col) = hpred[col & 1];
if (hpred[col & 1] >> tiff_bps) derror();
}
}
}
void CLASS samsung3_load_raw()
{
int opt, init, mag, pmode, row, tab, col, pred, diff, i, c;
ushort lent[3][2], len[4], *prow[2];
order = 0x4949;
fseek (ifp, 9, SEEK_CUR);
opt = fgetc(ifp);
init = (get2(),get2());
for (row=0; row < raw_height; row++) {
#ifdef LIBRAW_LIBRARY_BUILD
checkCancel();
#endif
fseek (ifp, (data_offset-ftell(ifp)) & 15, SEEK_CUR);
ph1_bits(-1);
mag = 0; pmode = 7;
FORC(6) lent[0][c] = row < 2 ? 7:4;
prow[ row & 1] = &RAW(row-1,1-((row & 1) << 1)); // green
prow[~row & 1] = &RAW(row-2,0); // red and blue
for (tab=0; tab+15 < raw_width; tab+=16) {
if (~opt & 4 && !(tab & 63)) {
i = ph1_bits(2);
mag = i < 3 ? mag-'2'+"204"[i] : ph1_bits(12);
}
if (opt & 2)
pmode = 7 - 4*ph1_bits(1);
else if (!ph1_bits(1))
pmode = ph1_bits(3);
if (opt & 1 || !ph1_bits(1)) {
FORC4 len[c] = ph1_bits(2);
FORC4 {
i = ((row & 1) << 1 | (c & 1)) % 3;
len[c] = len[c] < 3 ? lent[i][0]-'1'+"120"[len[c]] : ph1_bits(4);
lent[i][0] = lent[i][1];
lent[i][1] = len[c];
}
}
FORC(16) {
col = tab + (((c & 7) << 1)^(c >> 3)^(row & 1));
pred = (pmode == 7 || row < 2)
? (tab ? RAW(row,tab-2+(col & 1)) : init)
: (prow[col & 1][col-'4'+"0224468"[pmode]] +
prow[col & 1][col-'4'+"0244668"[pmode]] + 1) >> 1;
diff = ph1_bits (i = len[c >> 2]);
if (diff >> (i-1)) diff -= 1 << i;
diff = diff * (mag*2+1) + mag;
RAW(row,col) = pred + diff;
}
}
}
}
#define HOLE(row) ((holes >> (((row) - raw_height) & 7)) & 1)
/* Kudos to Rich Taylor for figuring out SMaL's compression algorithm. */
void CLASS smal_decode_segment (unsigned seg[2][2], int holes)
{
uchar hist[3][13] = {
{ 7, 7, 0, 0, 63, 55, 47, 39, 31, 23, 15, 7, 0 },
{ 7, 7, 0, 0, 63, 55, 47, 39, 31, 23, 15, 7, 0 },
{ 3, 3, 0, 0, 63, 47, 31, 15, 0 } };
int low, high=0xff, carry=0, nbits=8;
int pix, s, count, bin, next, i, sym[3];
uchar diff, pred[]={0,0};
ushort data=0, range=0;
fseek (ifp, seg[0][1]+1, SEEK_SET);
getbits(-1);
for (pix=seg[0][0]; pix < seg[1][0]; pix++) {
for (s=0; s < 3; s++) {
data = data << nbits | getbits(nbits);
if (carry < 0)
carry = (nbits += carry+1) < 1 ? nbits-1 : 0;
while (--nbits >= 0)
if ((data >> nbits & 0xff) == 0xff) break;
if (nbits > 0)
data = ((data & ((1 << (nbits-1)) - 1)) << 1) |
((data + (((data & (1 << (nbits-1)))) << 1)) & ((~0u) << nbits));
if (nbits >= 0) {
data += getbits(1);
carry = nbits - 8;
}
count = ((((data-range+1) & 0xffff) << 2) - 1) / (high >> 4);
for (bin=0; hist[s][bin+5] > count; bin++);
low = hist[s][bin+5] * (high >> 4) >> 2;
if (bin) high = hist[s][bin+4] * (high >> 4) >> 2;
high -= low;
for (nbits=0; high << nbits < 128; nbits++);
range = (range+low) << nbits;
high <<= nbits;
next = hist[s][1];
if (++hist[s][2] > hist[s][3]) {
next = (next+1) & hist[s][0];
hist[s][3] = (hist[s][next+4] - hist[s][next+5]) >> 2;
hist[s][2] = 1;
}
if (hist[s][hist[s][1]+4] - hist[s][hist[s][1]+5] > 1) {
if (bin < hist[s][1])
for (i=bin; i < hist[s][1]; i++) hist[s][i+5]--;
else if (next <= bin)
for (i=hist[s][1]; i < bin; i++) hist[s][i+5]++;
}
hist[s][1] = next;
sym[s] = bin;
}
diff = sym[2] << 5 | sym[1] << 2 | (sym[0] & 3);
if (sym[0] & 4)
diff = diff ? -diff : 0x80;
if (ftell(ifp) + 12 >= seg[1][1])
diff = 0;
raw_image[pix] = pred[pix & 1] += diff;
if (!(pix & 1) && HOLE(pix / raw_width)) pix += 2;
}
maximum = 0xff;
}
void CLASS smal_v6_load_raw()
{
unsigned seg[2][2];
fseek (ifp, 16, SEEK_SET);
seg[0][0] = 0;
seg[0][1] = get2();
seg[1][0] = raw_width * raw_height;
seg[1][1] = INT_MAX;
smal_decode_segment (seg, 0);
}
int CLASS median4 (int *p)
{
int min, max, sum, i;
min = max = sum = p[0];
for (i=1; i < 4; i++) {
sum += p[i];
if (min > p[i]) min = p[i];
if (max < p[i]) max = p[i];
}
return (sum - min - max) >> 1;
}
void CLASS fill_holes (int holes)
{
int row, col, val[4];
for (row=2; row < height-2; row++) {
if (!HOLE(row)) continue;
for (col=1; col < width-1; col+=4) {
val[0] = RAW(row-1,col-1);
val[1] = RAW(row-1,col+1);
val[2] = RAW(row+1,col-1);
val[3] = RAW(row+1,col+1);
RAW(row,col) = median4(val);
}
for (col=2; col < width-2; col+=4)
if (HOLE(row-2) || HOLE(row+2))
RAW(row,col) = (RAW(row,col-2) + RAW(row,col+2)) >> 1;
else {
val[0] = RAW(row,col-2);
val[1] = RAW(row,col+2);
val[2] = RAW(row-2,col);
val[3] = RAW(row+2,col);
RAW(row,col) = median4(val);
}
}
}
void CLASS smal_v9_load_raw()
{
unsigned seg[256][2], offset, nseg, holes, i;
fseek (ifp, 67, SEEK_SET);
offset = get4();
nseg = fgetc(ifp);
fseek (ifp, offset, SEEK_SET);
for (i=0; i < nseg*2; i++)
seg[0][i] = get4() + data_offset*(i & 1);
fseek (ifp, 78, SEEK_SET);
holes = fgetc(ifp);
fseek (ifp, 88, SEEK_SET);
seg[nseg][0] = raw_height * raw_width;
seg[nseg][1] = get4() + data_offset;
for (i=0; i < nseg; i++)
smal_decode_segment (seg+i, holes);
if (holes) fill_holes (holes);
}
void CLASS redcine_load_raw()
{
#ifndef NO_JASPER
int c, row, col;
jas_stream_t *in;
jas_image_t *jimg;
jas_matrix_t *jmat;
jas_seqent_t *data;
ushort *img, *pix;
jas_init();
#ifndef LIBRAW_LIBRARY_BUILD
in = jas_stream_fopen (ifname, "rb");
#else
in = (jas_stream_t*)ifp->make_jas_stream();
if(!in)
throw LIBRAW_EXCEPTION_DECODE_JPEG2000;
#endif
jas_stream_seek (in, data_offset+20, SEEK_SET);
jimg = jas_image_decode (in, -1, 0);
#ifndef LIBRAW_LIBRARY_BUILD
if (!jimg) longjmp (failure, 3);
#else
if(!jimg)
{
jas_stream_close (in);
throw LIBRAW_EXCEPTION_DECODE_JPEG2000;
}
#endif
jmat = jas_matrix_create (height/2, width/2);
merror (jmat, "redcine_load_raw()");
img = (ushort *) calloc ((height+2), (width+2)*2);
merror (img, "redcine_load_raw()");
#ifdef LIBRAW_LIBRARY_BUILD
bool fastexitflag = false;
try {
#endif
FORC4 {
#ifdef LIBRAW_LIBRARY_BUILD
checkCancel();
#endif
jas_image_readcmpt (jimg, c, 0, 0, width/2, height/2, jmat);
data = jas_matrix_getref (jmat, 0, 0);
for (row = c >> 1; row < height; row+=2)
for (col = c & 1; col < width; col+=2)
img[(row+1)*(width+2)+col+1] = data[(row/2)*(width/2)+col/2];
}
for (col=1; col <= width; col++) {
img[col] = img[2*(width+2)+col];
img[(height+1)*(width+2)+col] = img[(height-1)*(width+2)+col];
}
for (row=0; row < height+2; row++) {
img[row*(width+2)] = img[row*(width+2)+2];
img[(row+1)*(width+2)-1] = img[(row+1)*(width+2)-3];
}
for (row=1; row <= height; row++) {
#ifdef LIBRAW_LIBRARY_BUILD
checkCancel();
#endif
pix = img + row*(width+2) + (col = 1 + (FC(row,1) & 1));
for ( ; col <= width; col+=2, pix+=2) {
c = (((pix[0] - 0x800) << 3) +
pix[-(width+2)] + pix[width+2] + pix[-1] + pix[1]) >> 2;
pix[0] = LIM(c,0,4095);
}
}
for (row=0; row < height; row++)
{
#ifdef LIBRAW_LIBRARY_BUILD
checkCancel();
#endif
for (col=0; col < width; col++)
RAW(row,col) = curve[img[(row+1)*(width+2)+col+1]];
}
#ifdef LIBRAW_LIBRARY_BUILD
} catch (...) {
fastexitflag=true;
}
#endif
free (img);
jas_matrix_destroy (jmat);
jas_image_destroy (jimg);
jas_stream_close (in);
#ifdef LIBRAW_LIBRARY_BUILD
if(fastexitflag)
throw LIBRAW_EXCEPTION_CANCELLED_BY_CALLBACK;
#endif
#endif
}
//@end COMMON
/* RESTRICTED code starts here */
void CLASS foveon_decoder (unsigned size, unsigned code)
{
static unsigned huff[1024];
struct decode *cur;
int i, len;
if (!code) {
for (i=0; i < size; i++)
huff[i] = get4();
memset (first_decode, 0, sizeof first_decode);
free_decode = first_decode;
}
cur = free_decode++;
if (free_decode > first_decode+2048) {
fprintf (stderr,_("%s: decoder table overflow\n"), ifname);
longjmp (failure, 2);
}
if (code)
for (i=0; i < size; i++)
if (huff[i] == code) {
cur->leaf = i;
return;
}
if ((len = code >> 27) > 26) return;
code = (len+1) << 27 | (code & 0x3ffffff) << 1;
cur->branch[0] = free_decode;
foveon_decoder (size, code);
cur->branch[1] = free_decode;
foveon_decoder (size, code+1);
}
void CLASS foveon_thumb()
{
unsigned bwide, row, col, bitbuf=0, bit=1, c, i;
char *buf;
struct decode *dindex;
short pred[3];
bwide = get4();
fprintf (ofp, "P6\n%d %d\n255\n", thumb_width, thumb_height);
if (bwide > 0) {
if (bwide < thumb_width*3) return;
buf = (char *) malloc (bwide);
merror (buf, "foveon_thumb()");
for (row=0; row < thumb_height; row++) {
fread (buf, 1, bwide, ifp);
fwrite (buf, 3, thumb_width, ofp);
}
free (buf);
return;
}
foveon_decoder (256, 0);
for (row=0; row < thumb_height; row++) {
memset (pred, 0, sizeof pred);
if (!bit) get4();
for (bit=col=0; col < thumb_width; col++)
FORC3 {
for (dindex=first_decode; dindex->branch[0]; ) {
if ((bit = (bit-1) & 31) == 31)
for (i=0; i < 4; i++)
bitbuf = (bitbuf << 8) + fgetc(ifp);
dindex = dindex->branch[bitbuf >> bit & 1];
}
pred[c] += dindex->leaf;
fputc (pred[c], ofp);
}
}
}
void CLASS foveon_sd_load_raw()
{
struct decode *dindex;
short diff[1024];
unsigned bitbuf=0;
int pred[3], row, col, bit=-1, c, i;
read_shorts ((ushort *) diff, 1024);
if (!load_flags) foveon_decoder (1024, 0);
for (row=0; row < height; row++) {
#ifdef LIBRAW_LIBRARY_BUILD
checkCancel();
#endif
memset (pred, 0, sizeof pred);
if (!bit && !load_flags && atoi(model+2) < 14) get4();
for (col=bit=0; col < width; col++) {
if (load_flags) {
bitbuf = get4();
FORC3 pred[2-c] += diff[bitbuf >> c*10 & 0x3ff];
}
else FORC3 {
for (dindex=first_decode; dindex->branch[0]; ) {
if ((bit = (bit-1) & 31) == 31)
for (i=0; i < 4; i++)
bitbuf = (bitbuf << 8) + fgetc(ifp);
dindex = dindex->branch[bitbuf >> bit & 1];
}
pred[c] += diff[dindex->leaf];
if (pred[c] >> 16 && ~pred[c] >> 16) derror();
}
FORC3 image[row*width+col][c] = pred[c];
}
}
}
void CLASS foveon_huff (ushort *huff)
{
int i, j, clen, code;
huff[0] = 8;
for (i=0; i < 13; i++) {
clen = getc(ifp);
code = getc(ifp);
for (j=0; j < 256 >> clen; )
huff[code+ ++j] = clen << 8 | i;
}
get2();
}
void CLASS foveon_dp_load_raw()
{
unsigned c, roff[4], row, col, diff;
ushort huff[512], vpred[2][2], hpred[2];
fseek (ifp, 8, SEEK_CUR);
foveon_huff (huff);
roff[0] = 48;
FORC3 roff[c+1] = -(-(roff[c] + get4()) & -16);
FORC3 {
fseek (ifp, data_offset+roff[c], SEEK_SET);
getbits(-1);
vpred[0][0] = vpred[0][1] = vpred[1][0] = vpred[1][1] = 512;
for (row=0; row < height; row++) {
#ifdef LIBRAW_LIBRARY_BUILD
checkCancel();
#endif
for (col=0; col < width; col++) {
diff = ljpeg_diff(huff);
if (col < 2) hpred[col] = vpred[row & 1][col] += diff;
else hpred[col & 1] += diff;
image[row*width+col][c] = hpred[col & 1];
}
}
}
}
void CLASS foveon_load_camf()
{
unsigned type, wide, high, i, j, row, col, diff;
ushort huff[258], vpred[2][2] = {{512,512},{512,512}}, hpred[2];
fseek (ifp, meta_offset, SEEK_SET);
type = get4(); get4(); get4();
wide = get4();
high = get4();
if (type == 2) {
fread (meta_data, 1, meta_length, ifp);
for (i=0; i < meta_length; i++) {
high = (high * 1597 + 51749) % 244944;
wide = high * (INT64) 301593171 >> 24;
meta_data[i] ^= ((((high << 8) - wide) >> 1) + wide) >> 17;
}
} else if (type == 4) {
free (meta_data);
meta_data = (char *) malloc (meta_length = wide*high*3/2);
merror (meta_data, "foveon_load_camf()");
foveon_huff (huff);
get4();
getbits(-1);
for (j=row=0; row < high; row++) {
for (col=0; col < wide; col++) {
diff = ljpeg_diff(huff);
if (col < 2) hpred[col] = vpred[row & 1][col] += diff;
else hpred[col & 1] += diff;
if (col & 1) {
meta_data[j++] = hpred[0] >> 4;
meta_data[j++] = hpred[0] << 4 | hpred[1] >> 8;
meta_data[j++] = hpred[1];
}
}
}
}
#ifdef DCRAW_VERBOSE
else
fprintf (stderr,_("%s has unknown CAMF type %d.\n"), ifname, type);
#endif
}
const char * CLASS foveon_camf_param (const char *block, const char *param)
{
unsigned idx, num;
char *pos, *cp, *dp;
for (idx=0; idx < meta_length; idx += sget4(pos+8)) {
pos = meta_data + idx;
if (strncmp (pos, "CMb", 3)) break;
if (pos[3] != 'P') continue;
if (strcmp (block, pos+sget4(pos+12))) continue;
cp = pos + sget4(pos+16);
num = sget4(cp);
dp = pos + sget4(cp+4);
while (num--) {
cp += 8;
if (!strcmp (param, dp+sget4(cp)))
return dp+sget4(cp+4);
}
}
return 0;
}
void * CLASS foveon_camf_matrix (unsigned dim[3], const char *name)
{
unsigned i, idx, type, ndim, size, *mat;
char *pos, *cp, *dp;
double dsize;
for (idx=0; idx < meta_length; idx += sget4(pos+8)) {
pos = meta_data + idx;
if (strncmp (pos, "CMb", 3)) break;
if (pos[3] != 'M') continue;
if (strcmp (name, pos+sget4(pos+12))) continue;
dim[0] = dim[1] = dim[2] = 1;
cp = pos + sget4(pos+16);
type = sget4(cp);
if ((ndim = sget4(cp+4)) > 3) break;
dp = pos + sget4(cp+8);
for (i=ndim; i--; ) {
cp += 12;
dim[i] = sget4(cp);
}
if ((dsize = (double) dim[0]*dim[1]*dim[2]) > meta_length/4) break;
mat = (unsigned *) malloc ((size = dsize) * 4);
merror (mat, "foveon_camf_matrix()");
for (i=0; i < size; i++)
if (type && type != 6)
mat[i] = sget4(dp + i*4);
else
mat[i] = sget4(dp + i*2) & 0xffff;
return mat;
}
#ifdef DCRAW_VERBOSE
fprintf (stderr,_("%s: \"%s\" matrix not found!\n"), ifname, name);
#endif
return 0;
}
int CLASS foveon_fixed (void *ptr, int size, const char *name)
{
void *dp;
unsigned dim[3];
if (!name) return 0;
dp = foveon_camf_matrix (dim, name);
if (!dp) return 0;
memcpy (ptr, dp, size*4);
free (dp);
return 1;
}
float CLASS foveon_avg (short *pix, int range[2], float cfilt)
{
int i;
float val, min=FLT_MAX, max=-FLT_MAX, sum=0;
for (i=range[0]; i <= range[1]; i++) {
sum += val = pix[i*4] + (pix[i*4]-pix[(i-1)*4]) * cfilt;
if (min > val) min = val;
if (max < val) max = val;
}
if (range[1] - range[0] == 1) return sum/2;
return (sum - min - max) / (range[1] - range[0] - 1);
}
short * CLASS foveon_make_curve (double max, double mul, double filt)
{
short *curve;
unsigned i, size;
double x;
if (!filt) filt = 0.8;
size = 4*M_PI*max / filt;
if (size == UINT_MAX) size--;
curve = (short *) calloc (size+1, sizeof *curve);
merror (curve, "foveon_make_curve()");
curve[0] = size;
for (i=0; i < size; i++) {
x = i*filt/max/4;
curve[i+1] = (cos(x)+1)/2 * tanh(i*filt/mul) * mul + 0.5;
}
return curve;
}
void CLASS foveon_make_curves
(short **curvep, float dq[3], float div[3], float filt)
{
double mul[3], max=0;
int c;
FORC3 mul[c] = dq[c]/div[c];
FORC3 if (max < mul[c]) max = mul[c];
FORC3 curvep[c] = foveon_make_curve (max, mul[c], filt);
}
int CLASS foveon_apply_curve (short *curve, int i)
{
if (abs(i) >= curve[0]) return 0;
return i < 0 ? -curve[1-i] : curve[1+i];
}
#define image ((short (*)[4]) image)
void CLASS foveon_interpolate()
{
static const short hood[] = { -1,-1, -1,0, -1,1, 0,-1, 0,1, 1,-1, 1,0, 1,1 };
short *pix, prev[3], *curve[8], (*shrink)[3];
float cfilt=0, ddft[3][3][2], ppm[3][3][3];
float cam_xyz[3][3], correct[3][3], last[3][3], trans[3][3];
float chroma_dq[3], color_dq[3], diag[3][3], div[3];
float (*black)[3], (*sgain)[3], (*sgrow)[3];
float fsum[3], val, frow, num;
int row, col, c, i, j, diff, sgx, irow, sum, min, max, limit;
int dscr[2][2], dstb[4], (*smrow[7])[3], total[4], ipix[3];
int work[3][3], smlast, smred, smred_p=0, dev[3];
int satlev[3], keep[4], active[4];
unsigned dim[3], *badpix;
double dsum=0, trsum[3];
char str[128];
const char* cp;
#ifdef DCRAW_VERBOSE
if (verbose)
fprintf (stderr,_("Foveon interpolation...\n"));
#endif
foveon_load_camf();
foveon_fixed (dscr, 4, "DarkShieldColRange");
foveon_fixed (ppm[0][0], 27, "PostPolyMatrix");
foveon_fixed (satlev, 3, "SaturationLevel");
foveon_fixed (keep, 4, "KeepImageArea");
foveon_fixed (active, 4, "ActiveImageArea");
foveon_fixed (chroma_dq, 3, "ChromaDQ");
foveon_fixed (color_dq, 3,
foveon_camf_param ("IncludeBlocks", "ColorDQ") ?
"ColorDQ" : "ColorDQCamRGB");
if (foveon_camf_param ("IncludeBlocks", "ColumnFilter"))
foveon_fixed (&cfilt, 1, "ColumnFilter");
memset (ddft, 0, sizeof ddft);
if (!foveon_camf_param ("IncludeBlocks", "DarkDrift")
|| !foveon_fixed (ddft[1][0], 12, "DarkDrift"))
for (i=0; i < 2; i++) {
foveon_fixed (dstb, 4, i ? "DarkShieldBottom":"DarkShieldTop");
for (row = dstb[1]; row <= dstb[3]; row++)
for (col = dstb[0]; col <= dstb[2]; col++)
FORC3 ddft[i+1][c][1] += (short) image[row*width+col][c];
FORC3 ddft[i+1][c][1] /= (dstb[3]-dstb[1]+1) * (dstb[2]-dstb[0]+1);
}
if (!(cp = foveon_camf_param ("WhiteBalanceIlluminants", model2)))
{
#ifdef DCRAW_VERBOSE
fprintf (stderr,_("%s: Invalid white balance \"%s\"\n"), ifname, model2);
#endif
return; }
foveon_fixed (cam_xyz, 9, cp);
foveon_fixed (correct, 9,
foveon_camf_param ("WhiteBalanceCorrections", model2));
memset (last, 0, sizeof last);
for (i=0; i < 3; i++)
for (j=0; j < 3; j++)
FORC3 last[i][j] += correct[i][c] * cam_xyz[c][j];
#define LAST(x,y) last[(i+x)%3][(c+y)%3]
for (i=0; i < 3; i++)
FORC3 diag[c][i] = LAST(1,1)*LAST(2,2) - LAST(1,2)*LAST(2,1);
#undef LAST
FORC3 div[c] = diag[c][0]*0.3127 + diag[c][1]*0.329 + diag[c][2]*0.3583;
sprintf (str, "%sRGBNeutral", model2);
if (foveon_camf_param ("IncludeBlocks", str))
foveon_fixed (div, 3, str);
num = 0;
FORC3 if (num < div[c]) num = div[c];
FORC3 div[c] /= num;
memset (trans, 0, sizeof trans);
for (i=0; i < 3; i++)
for (j=0; j < 3; j++)
FORC3 trans[i][j] += rgb_cam[i][c] * last[c][j] * div[j];
FORC3 trsum[c] = trans[c][0] + trans[c][1] + trans[c][2];
dsum = (6*trsum[0] + 11*trsum[1] + 3*trsum[2]) / 20;
for (i=0; i < 3; i++)
FORC3 last[i][c] = trans[i][c] * dsum / trsum[i];
memset (trans, 0, sizeof trans);
for (i=0; i < 3; i++)
for (j=0; j < 3; j++)
FORC3 trans[i][j] += (i==c ? 32 : -1) * last[c][j] / 30;
foveon_make_curves (curve, color_dq, div, cfilt);
FORC3 chroma_dq[c] /= 3;
foveon_make_curves (curve+3, chroma_dq, div, cfilt);
FORC3 dsum += chroma_dq[c] / div[c];
curve[6] = foveon_make_curve (dsum, dsum, cfilt);
curve[7] = foveon_make_curve (dsum*2, dsum*2, cfilt);
sgain = (float (*)[3]) foveon_camf_matrix (dim, "SpatialGain");
if (!sgain) return;
sgrow = (float (*)[3]) calloc (dim[1], sizeof *sgrow);
sgx = (width + dim[1]-2) / (dim[1]-1);
black = (float (*)[3]) calloc (height, sizeof *black);
for (row=0; row < height; row++) {
for (i=0; i < 6; i++)
ddft[0][0][i] = ddft[1][0][i] +
row / (height-1.0) * (ddft[2][0][i] - ddft[1][0][i]);
FORC3 black[row][c] =
( foveon_avg (image[row*width]+c, dscr[0], cfilt) +
foveon_avg (image[row*width]+c, dscr[1], cfilt) * 3
- ddft[0][c][0] ) / 4 - ddft[0][c][1];
}
memcpy (black, black+8, sizeof *black*8);
memcpy (black+height-11, black+height-22, 11*sizeof *black);
memcpy (last, black, sizeof last);
for (row=1; row < height-1; row++) {
FORC3 if (last[1][c] > last[0][c]) {
if (last[1][c] > last[2][c])
black[row][c] = (last[0][c] > last[2][c]) ? last[0][c]:last[2][c];
} else
if (last[1][c] < last[2][c])
black[row][c] = (last[0][c] < last[2][c]) ? last[0][c]:last[2][c];
memmove (last, last+1, 2*sizeof last[0]);
memcpy (last[2], black[row+1], sizeof last[2]);
}
FORC3 black[row][c] = (last[0][c] + last[1][c])/2;
FORC3 black[0][c] = (black[1][c] + black[3][c])/2;
val = 1 - exp(-1/24.0);
memcpy (fsum, black, sizeof fsum);
for (row=1; row < height; row++)
FORC3 fsum[c] += black[row][c] =
(black[row][c] - black[row-1][c])*val + black[row-1][c];
memcpy (last[0], black[height-1], sizeof last[0]);
FORC3 fsum[c] /= height;
for (row = height; row--; )
FORC3 last[0][c] = black[row][c] =
(black[row][c] - fsum[c] - last[0][c])*val + last[0][c];
memset (total, 0, sizeof total);
for (row=2; row < height; row+=4)
for (col=2; col < width; col+=4) {
FORC3 total[c] += (short) image[row*width+col][c];
total[3]++;
}
for (row=0; row < height; row++)
FORC3 black[row][c] += fsum[c]/2 + total[c]/(total[3]*100.0);
for (row=0; row < height; row++) {
for (i=0; i < 6; i++)
ddft[0][0][i] = ddft[1][0][i] +
row / (height-1.0) * (ddft[2][0][i] - ddft[1][0][i]);
pix = image[row*width];
memcpy (prev, pix, sizeof prev);
frow = row / (height-1.0) * (dim[2]-1);
if ((irow = frow) == dim[2]-1) irow--;
frow -= irow;
for (i=0; i < dim[1]; i++)
FORC3 sgrow[i][c] = sgain[ irow *dim[1]+i][c] * (1-frow) +
sgain[(irow+1)*dim[1]+i][c] * frow;
for (col=0; col < width; col++) {
FORC3 {
diff = pix[c] - prev[c];
prev[c] = pix[c];
ipix[c] = pix[c] + floor ((diff + (diff*diff >> 14)) * cfilt
- ddft[0][c][1] - ddft[0][c][0] * ((float) col/width - 0.5)
- black[row][c] );
}
FORC3 {
work[0][c] = ipix[c] * ipix[c] >> 14;
work[2][c] = ipix[c] * work[0][c] >> 14;
work[1][2-c] = ipix[(c+1) % 3] * ipix[(c+2) % 3] >> 14;
}
FORC3 {
for (val=i=0; i < 3; i++)
for ( j=0; j < 3; j++)
val += ppm[c][i][j] * work[i][j];
ipix[c] = floor ((ipix[c] + floor(val)) *
( sgrow[col/sgx ][c] * (sgx - col%sgx) +
sgrow[col/sgx+1][c] * (col%sgx) ) / sgx / div[c]);
if (ipix[c] > 32000) ipix[c] = 32000;
pix[c] = ipix[c];
}
pix += 4;
}
}
free (black);
free (sgrow);
free (sgain);
if ((badpix = (unsigned int *) foveon_camf_matrix (dim, "BadPixels"))) {
for (i=0; i < dim[0]; i++) {
col = (badpix[i] >> 8 & 0xfff) - keep[0];
row = (badpix[i] >> 20 ) - keep[1];
if ((unsigned)(row-1) > height-3 || (unsigned)(col-1) > width-3)
continue;
memset (fsum, 0, sizeof fsum);
for (sum=j=0; j < 8; j++)
if (badpix[i] & (1 << j)) {
FORC3 fsum[c] += (short)
image[(row+hood[j*2])*width+col+hood[j*2+1]][c];
sum++;
}
if (sum) FORC3 image[row*width+col][c] = fsum[c]/sum;
}
free (badpix);
}
/* Array for 5x5 Gaussian averaging of red values */
smrow[6] = (int (*)[3]) calloc (width*5, sizeof **smrow);
merror (smrow[6], "foveon_interpolate()");
for (i=0; i < 5; i++)
smrow[i] = smrow[6] + i*width;
/* Sharpen the reds against these Gaussian averages */
for (smlast=-1, row=2; row < height-2; row++) {
while (smlast < row+2) {
for (i=0; i < 6; i++)
smrow[(i+5) % 6] = smrow[i];
pix = image[++smlast*width+2];
for (col=2; col < width-2; col++) {
smrow[4][col][0] =
(pix[0]*6 + (pix[-4]+pix[4])*4 + pix[-8]+pix[8] + 8) >> 4;
pix += 4;
}
}
pix = image[row*width+2];
for (col=2; col < width-2; col++) {
smred = ( 6 * smrow[2][col][0]
+ 4 * (smrow[1][col][0] + smrow[3][col][0])
+ smrow[0][col][0] + smrow[4][col][0] + 8 ) >> 4;
if (col == 2)
smred_p = smred;
i = pix[0] + ((pix[0] - ((smred*7 + smred_p) >> 3)) >> 3);
if (i > 32000) i = 32000;
pix[0] = i;
smred_p = smred;
pix += 4;
}
}
/* Adjust the brighter pixels for better linearity */
min = 0xffff;
FORC3 {
i = satlev[c] / div[c];
if (min > i) min = i;
}
limit = min * 9 >> 4;
for (pix=image[0]; pix < image[height*width]; pix+=4) {
if (pix[0] <= limit || pix[1] <= limit || pix[2] <= limit)
continue;
min = max = pix[0];
for (c=1; c < 3; c++) {
if (min > pix[c]) min = pix[c];
if (max < pix[c]) max = pix[c];
}
if (min >= limit*2) {
pix[0] = pix[1] = pix[2] = max;
} else {
i = 0x4000 - ((min - limit) << 14) / limit;
i = 0x4000 - (i*i >> 14);
i = i*i >> 14;
FORC3 pix[c] += (max - pix[c]) * i >> 14;
}
}
/*
Because photons that miss one detector often hit another,
the sum R+G+B is much less noisy than the individual colors.
So smooth the hues without smoothing the total.
*/
for (smlast=-1, row=2; row < height-2; row++) {
while (smlast < row+2) {
for (i=0; i < 6; i++)
smrow[(i+5) % 6] = smrow[i];
pix = image[++smlast*width+2];
for (col=2; col < width-2; col++) {
FORC3 smrow[4][col][c] = (pix[c-4]+2*pix[c]+pix[c+4]+2) >> 2;
pix += 4;
}
}
pix = image[row*width+2];
for (col=2; col < width-2; col++) {
FORC3 dev[c] = -foveon_apply_curve (curve[7], pix[c] -
((smrow[1][col][c] + 2*smrow[2][col][c] + smrow[3][col][c]) >> 2));
sum = (dev[0] + dev[1] + dev[2]) >> 3;
FORC3 pix[c] += dev[c] - sum;
pix += 4;
}
}
for (smlast=-1, row=2; row < height-2; row++) {
while (smlast < row+2) {
for (i=0; i < 6; i++)
smrow[(i+5) % 6] = smrow[i];
pix = image[++smlast*width+2];
for (col=2; col < width-2; col++) {
FORC3 smrow[4][col][c] =
(pix[c-8]+pix[c-4]+pix[c]+pix[c+4]+pix[c+8]+2) >> 2;
pix += 4;
}
}
pix = image[row*width+2];
for (col=2; col < width-2; col++) {
for (total[3]=375, sum=60, c=0; c < 3; c++) {
for (total[c]=i=0; i < 5; i++)
total[c] += smrow[i][col][c];
total[3] += total[c];
sum += pix[c];
}
if (sum < 0) sum = 0;
j = total[3] > 375 ? (sum << 16) / total[3] : sum * 174;
FORC3 pix[c] += foveon_apply_curve (curve[6],
((j*total[c] + 0x8000) >> 16) - pix[c]);
pix += 4;
}
}
/* Transform the image to a different colorspace */
for (pix=image[0]; pix < image[height*width]; pix+=4) {
FORC3 pix[c] -= foveon_apply_curve (curve[c], pix[c]);
sum = (pix[0]+pix[1]+pix[1]+pix[2]) >> 2;
FORC3 pix[c] -= foveon_apply_curve (curve[c], pix[c]-sum);
FORC3 {
for (dsum=i=0; i < 3; i++)
dsum += trans[c][i] * pix[i];
if (dsum < 0) dsum = 0;
if (dsum > 24000) dsum = 24000;
ipix[c] = dsum + 0.5;
}
FORC3 pix[c] = ipix[c];
}
/* Smooth the image bottom-to-top and save at 1/4 scale */
shrink = (short (*)[3]) calloc ((height/4), (width/4)*sizeof *shrink);
merror (shrink, "foveon_interpolate()");
for (row = height/4; row--; )
for (col=0; col < width/4; col++) {
ipix[0] = ipix[1] = ipix[2] = 0;
for (i=0; i < 4; i++)
for (j=0; j < 4; j++)
FORC3 ipix[c] += image[(row*4+i)*width+col*4+j][c];
FORC3
if (row+2 > height/4)
shrink[row*(width/4)+col][c] = ipix[c] >> 4;
else
shrink[row*(width/4)+col][c] =
(shrink[(row+1)*(width/4)+col][c]*1840 + ipix[c]*141 + 2048) >> 12;
}
/* From the 1/4-scale image, smooth right-to-left */
for (row=0; row < (height & ~3); row++) {
ipix[0] = ipix[1] = ipix[2] = 0;
if ((row & 3) == 0)
for (col = width & ~3 ; col--; )
FORC3 smrow[0][col][c] = ipix[c] =
(shrink[(row/4)*(width/4)+col/4][c]*1485 + ipix[c]*6707 + 4096) >> 13;
/* Then smooth left-to-right */
ipix[0] = ipix[1] = ipix[2] = 0;
for (col=0; col < (width & ~3); col++)
FORC3 smrow[1][col][c] = ipix[c] =
(smrow[0][col][c]*1485 + ipix[c]*6707 + 4096) >> 13;
/* Smooth top-to-bottom */
if (row == 0)
memcpy (smrow[2], smrow[1], sizeof **smrow * width);
else
for (col=0; col < (width & ~3); col++)
FORC3 smrow[2][col][c] =
(smrow[2][col][c]*6707 + smrow[1][col][c]*1485 + 4096) >> 13;
/* Adjust the chroma toward the smooth values */
for (col=0; col < (width & ~3); col++) {
for (i=j=30, c=0; c < 3; c++) {
i += smrow[2][col][c];
j += image[row*width+col][c];
}
j = (j << 16) / i;
for (sum=c=0; c < 3; c++) {
ipix[c] = foveon_apply_curve (curve[c+3],
((smrow[2][col][c] * j + 0x8000) >> 16) - image[row*width+col][c]);
sum += ipix[c];
}
sum >>= 3;
FORC3 {
i = image[row*width+col][c] + ipix[c] - sum;
if (i < 0) i = 0;
image[row*width+col][c] = i;
}
}
}
free (shrink);
free (smrow[6]);
for (i=0; i < 8; i++)
free (curve[i]);
/* Trim off the black border */
active[1] -= keep[1];
active[3] -= 2;
i = active[2] - active[0];
for (row=0; row < active[3]-active[1]; row++)
memcpy (image[row*i], image[(row+active[1])*width+active[0]],
i * sizeof *image);
width = i;
height = row;
}
#undef image
/* RESTRICTED code ends here */
//@out COMMON
void CLASS crop_masked_pixels()
{
int row, col;
unsigned
#ifndef LIBRAW_LIBRARY_BUILD
r, raw_pitch = raw_width*2,
c, m, mblack[8], zero, val;
#else
c, m, zero, val;
#define mblack imgdata.color.black_stat
#endif
#ifndef LIBRAW_LIBRARY_BUILD
if (load_raw == &CLASS phase_one_load_raw ||
load_raw == &CLASS phase_one_load_raw_c)
phase_one_correct();
if (fuji_width) {
for (row=0; row < raw_height-top_margin*2; row++) {
for (col=0; col < fuji_width << !fuji_layout; col++) {
if (fuji_layout) {
r = fuji_width - 1 - col + (row >> 1);
c = col + ((row+1) >> 1);
} else {
r = fuji_width - 1 + row - (col >> 1);
c = row + ((col+1) >> 1);
}
if (r < height && c < width)
BAYER(r,c) = RAW(row+top_margin,col+left_margin);
}
}
} else {
for (row=0; row < height; row++)
for (col=0; col < width; col++)
BAYER2(row,col) = RAW(row+top_margin,col+left_margin);
}
#endif
if (mask[0][3] > 0) goto mask_set;
if (load_raw == &CLASS canon_load_raw ||
load_raw == &CLASS lossless_jpeg_load_raw) {
mask[0][1] = mask[1][1] += 2;
mask[0][3] -= 2;
goto sides;
}
if (load_raw == &CLASS canon_600_load_raw ||
load_raw == &CLASS sony_load_raw ||
(load_raw == &CLASS eight_bit_load_raw && strncmp(model,"DC2",3)) ||
load_raw == &CLASS kodak_262_load_raw ||
(load_raw == &CLASS packed_load_raw && (load_flags & 32))) {
sides:
mask[0][0] = mask[1][0] = top_margin;
mask[0][2] = mask[1][2] = top_margin+height;
mask[0][3] += left_margin;
mask[1][1] += left_margin+width;
mask[1][3] += raw_width;
}
if (load_raw == &CLASS nokia_load_raw) {
mask[0][2] = top_margin;
mask[0][3] = width;
}
mask_set:
memset (mblack, 0, sizeof mblack);
for (zero=m=0; m < 8; m++)
for (row=MAX(mask[m][0],0); row < MIN(mask[m][2],raw_height); row++)
for (col=MAX(mask[m][1],0); col < MIN(mask[m][3],raw_width); col++) {
c = FC(row-top_margin,col-left_margin);
mblack[c] += val = raw_image[(row)*raw_pitch/2+(col)];
mblack[4+c]++;
zero += !val;
}
if (load_raw == &CLASS canon_600_load_raw && width < raw_width) {
black = (mblack[0]+mblack[1]+mblack[2]+mblack[3]) /
(mblack[4]+mblack[5]+mblack[6]+mblack[7]) - 4;
#ifndef LIBRAW_LIBRARY_BUILD
canon_600_correct();
#endif
} else if (zero < mblack[4] && mblack[5] && mblack[6] && mblack[7]) {
FORC4 cblack[c] = mblack[c] / mblack[4+c];
cblack[4] = cblack[5] = cblack[6] = 0;
}
}
#ifdef LIBRAW_LIBRARY_BUILD
#undef mblack
#endif
void CLASS remove_zeroes()
{
unsigned row, col, tot, n, r, c;
#ifdef LIBRAW_LIBRARY_BUILD
RUN_CALLBACK(LIBRAW_PROGRESS_REMOVE_ZEROES,0,2);
#endif
for (row=0; row < height; row++)
for (col=0; col < width; col++)
if (BAYER(row,col) == 0) {
tot = n = 0;
for (r = row-2; r <= row+2; r++)
for (c = col-2; c <= col+2; c++)
if (r < height && c < width &&
FC(r,c) == FC(row,col) && BAYER(r,c))
tot += (n++,BAYER(r,c));
if (n) BAYER(row,col) = tot/n;
}
#ifdef LIBRAW_LIBRARY_BUILD
RUN_CALLBACK(LIBRAW_PROGRESS_REMOVE_ZEROES,1,2);
#endif
}
//@end COMMON
/* @out FILEIO
#include <math.h>
#define CLASS LibRaw::
#include "libraw/libraw_types.h"
#define LIBRAW_LIBRARY_BUILD
#include "libraw/libraw.h"
#include "internal/defines.h"
#include "internal/var_defines.h"
@end FILEIO */
// @out FILEIO
/*
Seach from the current directory up to the root looking for
a ".badpixels" file, and fix those pixels now.
*/
void CLASS bad_pixels (const char *cfname)
{
FILE *fp=NULL;
#ifndef LIBRAW_LIBRARY_BUILD
char *fname, *cp, line[128];
int len, time, row, col, r, c, rad, tot, n, fixed=0;
#else
char *cp, line[128];
int time, row, col, r, c, rad, tot, n;
#ifdef DCRAW_VERBOSE
int fixed = 0;
#endif
#endif
if (!filters) return;
#ifdef LIBRAW_LIBRARY_BUILD
RUN_CALLBACK(LIBRAW_PROGRESS_BAD_PIXELS,0,2);
#endif
if (cfname)
fp = fopen (cfname, "r");
// @end FILEIO
else {
for (len=32 ; ; len *= 2) {
fname = (char *) malloc (len);
if (!fname) return;
if (getcwd (fname, len-16)) break;
free (fname);
if (errno != ERANGE) return;
}
#if defined(WIN32) || defined(DJGPP)
if (fname[1] == ':')
memmove (fname, fname+2, len-2);
for (cp=fname; *cp; cp++)
if (*cp == '\\') *cp = '/';
#endif
cp = fname + strlen(fname);
if (cp[-1] == '/') cp--;
while (*fname == '/') {
strcpy (cp, "/.badpixels");
if ((fp = fopen (fname, "r"))) break;
if (cp == fname) break;
while (*--cp != '/');
}
free (fname);
}
// @out FILEIO
if (!fp)
{
#ifdef LIBRAW_LIBRARY_BUILD
imgdata.process_warnings |= LIBRAW_WARN_NO_BADPIXELMAP;
#endif
return;
}
while (fgets (line, 128, fp)) {
cp = strchr (line, '#');
if (cp) *cp = 0;
if (sscanf (line, "%d %d %d", &col, &row, &time) != 3) continue;
if ((unsigned) col >= width || (unsigned) row >= height) continue;
if (time > timestamp) continue;
for (tot=n=0, rad=1; rad < 3 && n==0; rad++)
for (r = row-rad; r <= row+rad; r++)
for (c = col-rad; c <= col+rad; c++)
if ((unsigned) r < height && (unsigned) c < width &&
(r != row || c != col) && fcol(r,c) == fcol(row,col)) {
tot += BAYER2(r,c);
n++;
}
BAYER2(row,col) = tot/n;
#ifdef DCRAW_VERBOSE
if (verbose) {
if (!fixed++)
fprintf (stderr,_("Fixed dead pixels at:"));
fprintf (stderr, " %d,%d", col, row);
}
#endif
}
#ifdef DCRAW_VERBOSE
if (fixed) fputc ('\n', stderr);
#endif
fclose (fp);
#ifdef LIBRAW_LIBRARY_BUILD
RUN_CALLBACK(LIBRAW_PROGRESS_BAD_PIXELS,1,2);
#endif
}
void CLASS subtract (const char *fname)
{
FILE *fp;
int dim[3]={0,0,0}, comment=0, number=0, error=0, nd=0, c, row, col;
ushort *pixel;
#ifdef LIBRAW_LIBRARY_BUILD
RUN_CALLBACK(LIBRAW_PROGRESS_DARK_FRAME,0,2);
#endif
if (!(fp = fopen (fname, "rb"))) {
#ifdef DCRAW_VERBOSE
perror (fname);
#endif
#ifdef LIBRAW_LIBRARY_BUILD
imgdata.process_warnings |= LIBRAW_WARN_BAD_DARKFRAME_FILE;
#endif
return;
}
if (fgetc(fp) != 'P' || fgetc(fp) != '5') error = 1;
while (!error && nd < 3 && (c = fgetc(fp)) != EOF) {
if (c == '#') comment = 1;
if (c == '\n') comment = 0;
if (comment) continue;
if (isdigit(c)) number = 1;
if (number) {
if (isdigit(c)) dim[nd] = dim[nd]*10 + c -'0';
else if (isspace(c)) {
number = 0; nd++;
} else error = 1;
}
}
if (error || nd < 3) {
#ifdef DCRAW_VERBOSE
fprintf (stderr,_("%s is not a valid PGM file!\n"), fname);
#endif
fclose (fp); return;
} else if (dim[0] != width || dim[1] != height || dim[2] != 65535) {
#ifdef DCRAW_VERBOSE
fprintf (stderr,_("%s has the wrong dimensions!\n"), fname);
#endif
#ifdef LIBRAW_LIBRARY_BUILD
imgdata.process_warnings |= LIBRAW_WARN_BAD_DARKFRAME_DIM;
#endif
fclose (fp); return;
}
pixel = (ushort *) calloc (width, sizeof *pixel);
merror (pixel, "subtract()");
for (row=0; row < height; row++) {
fread (pixel, 2, width, fp);
for (col=0; col < width; col++)
BAYER(row,col) = MAX (BAYER(row,col) - ntohs(pixel[col]), 0);
}
free (pixel);
fclose (fp);
memset (cblack, 0, sizeof cblack);
black = 0;
#ifdef LIBRAW_LIBRARY_BUILD
RUN_CALLBACK(LIBRAW_PROGRESS_DARK_FRAME,1,2);
#endif
}
//@end FILEIO
//@out COMMON
static const uchar xlat[2][256] = {
{ 0xc1,0xbf,0x6d,0x0d,0x59,0xc5,0x13,0x9d,0x83,0x61,0x6b,0x4f,0xc7,0x7f,0x3d,0x3d,
0x53,0x59,0xe3,0xc7,0xe9,0x2f,0x95,0xa7,0x95,0x1f,0xdf,0x7f,0x2b,0x29,0xc7,0x0d,
0xdf,0x07,0xef,0x71,0x89,0x3d,0x13,0x3d,0x3b,0x13,0xfb,0x0d,0x89,0xc1,0x65,0x1f,
0xb3,0x0d,0x6b,0x29,0xe3,0xfb,0xef,0xa3,0x6b,0x47,0x7f,0x95,0x35,0xa7,0x47,0x4f,
0xc7,0xf1,0x59,0x95,0x35,0x11,0x29,0x61,0xf1,0x3d,0xb3,0x2b,0x0d,0x43,0x89,0xc1,
0x9d,0x9d,0x89,0x65,0xf1,0xe9,0xdf,0xbf,0x3d,0x7f,0x53,0x97,0xe5,0xe9,0x95,0x17,
0x1d,0x3d,0x8b,0xfb,0xc7,0xe3,0x67,0xa7,0x07,0xf1,0x71,0xa7,0x53,0xb5,0x29,0x89,
0xe5,0x2b,0xa7,0x17,0x29,0xe9,0x4f,0xc5,0x65,0x6d,0x6b,0xef,0x0d,0x89,0x49,0x2f,
0xb3,0x43,0x53,0x65,0x1d,0x49,0xa3,0x13,0x89,0x59,0xef,0x6b,0xef,0x65,0x1d,0x0b,
0x59,0x13,0xe3,0x4f,0x9d,0xb3,0x29,0x43,0x2b,0x07,0x1d,0x95,0x59,0x59,0x47,0xfb,
0xe5,0xe9,0x61,0x47,0x2f,0x35,0x7f,0x17,0x7f,0xef,0x7f,0x95,0x95,0x71,0xd3,0xa3,
0x0b,0x71,0xa3,0xad,0x0b,0x3b,0xb5,0xfb,0xa3,0xbf,0x4f,0x83,0x1d,0xad,0xe9,0x2f,
0x71,0x65,0xa3,0xe5,0x07,0x35,0x3d,0x0d,0xb5,0xe9,0xe5,0x47,0x3b,0x9d,0xef,0x35,
0xa3,0xbf,0xb3,0xdf,0x53,0xd3,0x97,0x53,0x49,0x71,0x07,0x35,0x61,0x71,0x2f,0x43,
0x2f,0x11,0xdf,0x17,0x97,0xfb,0x95,0x3b,0x7f,0x6b,0xd3,0x25,0xbf,0xad,0xc7,0xc5,
0xc5,0xb5,0x8b,0xef,0x2f,0xd3,0x07,0x6b,0x25,0x49,0x95,0x25,0x49,0x6d,0x71,0xc7 },
{ 0xa7,0xbc,0xc9,0xad,0x91,0xdf,0x85,0xe5,0xd4,0x78,0xd5,0x17,0x46,0x7c,0x29,0x4c,
0x4d,0x03,0xe9,0x25,0x68,0x11,0x86,0xb3,0xbd,0xf7,0x6f,0x61,0x22,0xa2,0x26,0x34,
0x2a,0xbe,0x1e,0x46,0x14,0x68,0x9d,0x44,0x18,0xc2,0x40,0xf4,0x7e,0x5f,0x1b,0xad,
0x0b,0x94,0xb6,0x67,0xb4,0x0b,0xe1,0xea,0x95,0x9c,0x66,0xdc,0xe7,0x5d,0x6c,0x05,
0xda,0xd5,0xdf,0x7a,0xef,0xf6,0xdb,0x1f,0x82,0x4c,0xc0,0x68,0x47,0xa1,0xbd,0xee,
0x39,0x50,0x56,0x4a,0xdd,0xdf,0xa5,0xf8,0xc6,0xda,0xca,0x90,0xca,0x01,0x42,0x9d,
0x8b,0x0c,0x73,0x43,0x75,0x05,0x94,0xde,0x24,0xb3,0x80,0x34,0xe5,0x2c,0xdc,0x9b,
0x3f,0xca,0x33,0x45,0xd0,0xdb,0x5f,0xf5,0x52,0xc3,0x21,0xda,0xe2,0x22,0x72,0x6b,
0x3e,0xd0,0x5b,0xa8,0x87,0x8c,0x06,0x5d,0x0f,0xdd,0x09,0x19,0x93,0xd0,0xb9,0xfc,
0x8b,0x0f,0x84,0x60,0x33,0x1c,0x9b,0x45,0xf1,0xf0,0xa3,0x94,0x3a,0x12,0x77,0x33,
0x4d,0x44,0x78,0x28,0x3c,0x9e,0xfd,0x65,0x57,0x16,0x94,0x6b,0xfb,0x59,0xd0,0xc8,
0x22,0x36,0xdb,0xd2,0x63,0x98,0x43,0xa1,0x04,0x87,0x86,0xf7,0xa6,0x26,0xbb,0xd6,
0x59,0x4d,0xbf,0x6a,0x2e,0xaa,0x2b,0xef,0xe6,0x78,0xb6,0x4e,0xe0,0x2f,0xdc,0x7c,
0xbe,0x57,0x19,0x32,0x7e,0x2a,0xd0,0xb8,0xba,0x29,0x00,0x3c,0x52,0x7d,0xa8,0x49,
0x3b,0x2d,0xeb,0x25,0x49,0xfa,0xa3,0xaa,0x39,0xa7,0xc5,0xa7,0x50,0x11,0x36,0xfb,
0xc6,0x67,0x4a,0xf5,0xa5,0x12,0x65,0x7e,0xb0,0xdf,0xaf,0x4e,0xb3,0x61,0x7f,0x2f } };
void CLASS gamma_curve (double pwr, double ts, int mode, int imax)
{
int i;
double g[6], bnd[2]={0,0}, r;
g[0] = pwr;
g[1] = ts;
g[2] = g[3] = g[4] = 0;
bnd[g[1] >= 1] = 1;
if (g[1] && (g[1]-1)*(g[0]-1) <= 0) {
for (i=0; i < 48; i++) {
g[2] = (bnd[0] + bnd[1])/2;
if (g[0]) bnd[(pow(g[2]/g[1],-g[0]) - 1)/g[0] - 1/g[2] > -1] = g[2];
else bnd[g[2]/exp(1-1/g[2]) < g[1]] = g[2];
}
g[3] = g[2] / g[1];
if (g[0]) g[4] = g[2] * (1/g[0] - 1);
}
if (g[0]) g[5] = 1 / (g[1]*SQR(g[3])/2 - g[4]*(1 - g[3]) +
(1 - pow(g[3],1+g[0]))*(1 + g[4])/(1 + g[0])) - 1;
else g[5] = 1 / (g[1]*SQR(g[3])/2 + 1
- g[2] - g[3] - g[2]*g[3]*(log(g[3]) - 1)) - 1;
if (!mode--) {
memcpy (gamm, g, sizeof gamm);
return;
}
for (i=0; i < 0x10000; i++) {
curve[i] = 0xffff;
if ((r = (double) i / imax) < 1)
curve[i] = 0x10000 * ( mode
? (r < g[3] ? r*g[1] : (g[0] ? pow( r,g[0])*(1+g[4])-g[4] : log(r)*g[2]+1))
: (r < g[2] ? r/g[1] : (g[0] ? pow((r+g[4])/(1+g[4]),1/g[0]) : exp((r-1)/g[2]))));
}
}
void CLASS pseudoinverse (double (*in)[3], double (*out)[3], int size)
{
double work[3][6], num;
int i, j, k;
for (i=0; i < 3; i++) {
for (j=0; j < 6; j++)
work[i][j] = j == i+3;
for (j=0; j < 3; j++)
for (k=0; k < size; k++)
work[i][j] += in[k][i] * in[k][j];
}
for (i=0; i < 3; i++) {
num = work[i][i];
for (j=0; j < 6; j++)
work[i][j] /= num;
for (k=0; k < 3; k++) {
if (k==i) continue;
num = work[k][i];
for (j=0; j < 6; j++)
work[k][j] -= work[i][j] * num;
}
}
for (i=0; i < size; i++)
for (j=0; j < 3; j++)
for (out[i][j]=k=0; k < 3; k++)
out[i][j] += work[j][k+3] * in[i][k];
}
void CLASS cam_xyz_coeff (float _rgb_cam[3][4], double cam_xyz[4][3])
{
double cam_rgb[4][3], inverse[4][3], num;
int i, j, k;
for (i=0; i < colors; i++) /* Multiply out XYZ colorspace */
for (j=0; j < 3; j++)
for (cam_rgb[i][j] = k=0; k < 3; k++)
cam_rgb[i][j] += cam_xyz[i][k] * xyz_rgb[k][j];
for (i=0; i < colors; i++) { /* Normalize cam_rgb so that */
for (num=j=0; j < 3; j++) /* cam_rgb * (1,1,1) is (1,1,1,1) */
num += cam_rgb[i][j];
if(num > 0.00001)
{
for (j=0; j < 3; j++)
cam_rgb[i][j] /= num;
pre_mul[i] = 1 / num;
}
else
{
for (j=0; j < 3; j++)
cam_rgb[i][j] = 0.0;
pre_mul[i] = 1.0;
}
}
pseudoinverse (cam_rgb, inverse, colors);
for (i=0; i < 3; i++)
for (j=0; j < colors; j++)
_rgb_cam[i][j] = inverse[j][i];
}
#ifdef COLORCHECK
void CLASS colorcheck()
{
#define NSQ 24
// Coordinates of the GretagMacbeth ColorChecker squares
// width, height, 1st_column, 1st_row
int cut[NSQ][4]; // you must set these
// ColorChecker Chart under 6500-kelvin illumination
static const double gmb_xyY[NSQ][3] = {
{ 0.400, 0.350, 10.1 }, // Dark Skin
{ 0.377, 0.345, 35.8 }, // Light Skin
{ 0.247, 0.251, 19.3 }, // Blue Sky
{ 0.337, 0.422, 13.3 }, // Foliage
{ 0.265, 0.240, 24.3 }, // Blue Flower
{ 0.261, 0.343, 43.1 }, // Bluish Green
{ 0.506, 0.407, 30.1 }, // Orange
{ 0.211, 0.175, 12.0 }, // Purplish Blue
{ 0.453, 0.306, 19.8 }, // Moderate Red
{ 0.285, 0.202, 6.6 }, // Purple
{ 0.380, 0.489, 44.3 }, // Yellow Green
{ 0.473, 0.438, 43.1 }, // Orange Yellow
{ 0.187, 0.129, 6.1 }, // Blue
{ 0.305, 0.478, 23.4 }, // Green
{ 0.539, 0.313, 12.0 }, // Red
{ 0.448, 0.470, 59.1 }, // Yellow
{ 0.364, 0.233, 19.8 }, // Magenta
{ 0.196, 0.252, 19.8 }, // Cyan
{ 0.310, 0.316, 90.0 }, // White
{ 0.310, 0.316, 59.1 }, // Neutral 8
{ 0.310, 0.316, 36.2 }, // Neutral 6.5
{ 0.310, 0.316, 19.8 }, // Neutral 5
{ 0.310, 0.316, 9.0 }, // Neutral 3.5
{ 0.310, 0.316, 3.1 } }; // Black
double gmb_cam[NSQ][4], gmb_xyz[NSQ][3];
double inverse[NSQ][3], cam_xyz[4][3], balance[4], num;
int c, i, j, k, sq, row, col, pass, count[4];
memset (gmb_cam, 0, sizeof gmb_cam);
for (sq=0; sq < NSQ; sq++) {
FORCC count[c] = 0;
for (row=cut[sq][3]; row < cut[sq][3]+cut[sq][1]; row++)
for (col=cut[sq][2]; col < cut[sq][2]+cut[sq][0]; col++) {
c = FC(row,col);
if (c >= colors) c -= 2;
gmb_cam[sq][c] += BAYER2(row,col);
BAYER2(row,col) = black + (BAYER2(row,col)-black)/2;
count[c]++;
}
FORCC gmb_cam[sq][c] = gmb_cam[sq][c]/count[c] - black;
gmb_xyz[sq][0] = gmb_xyY[sq][2] * gmb_xyY[sq][0] / gmb_xyY[sq][1];
gmb_xyz[sq][1] = gmb_xyY[sq][2];
gmb_xyz[sq][2] = gmb_xyY[sq][2] *
(1 - gmb_xyY[sq][0] - gmb_xyY[sq][1]) / gmb_xyY[sq][1];
}
pseudoinverse (gmb_xyz, inverse, NSQ);
for (pass=0; pass < 2; pass++) {
for (raw_color = i=0; i < colors; i++)
for (j=0; j < 3; j++)
for (cam_xyz[i][j] = k=0; k < NSQ; k++)
cam_xyz[i][j] += gmb_cam[k][i] * inverse[k][j];
cam_xyz_coeff (rgb_cam, cam_xyz);
FORCC balance[c] = pre_mul[c] * gmb_cam[20][c];
for (sq=0; sq < NSQ; sq++)
FORCC gmb_cam[sq][c] *= balance[c];
}
if (verbose) {
printf (" { \"%s %s\", %d,\n\t{", make, model, black);
num = 10000 / (cam_xyz[1][0] + cam_xyz[1][1] + cam_xyz[1][2]);
FORCC for (j=0; j < 3; j++)
printf ("%c%d", (c | j) ? ',':' ', (int) (cam_xyz[c][j] * num + 0.5));
puts (" } },");
}
#undef NSQ
}
#endif
void CLASS hat_transform (float *temp, float *base, int st, int size, int sc)
{
int i;
for (i=0; i < sc; i++)
temp[i] = 2*base[st*i] + base[st*(sc-i)] + base[st*(i+sc)];
for (; i+sc < size; i++)
temp[i] = 2*base[st*i] + base[st*(i-sc)] + base[st*(i+sc)];
for (; i < size; i++)
temp[i] = 2*base[st*i] + base[st*(i-sc)] + base[st*(2*size-2-(i+sc))];
}
#if !defined(LIBRAW_USE_OPENMP)
void CLASS wavelet_denoise()
{
float *fimg=0, *temp, thold, mul[2], avg, diff;
int scale=1, size, lev, hpass, lpass, row, col, nc, c, i, wlast, blk[2];
ushort *window[4];
static const float noise[] =
{ 0.8002,0.2735,0.1202,0.0585,0.0291,0.0152,0.0080,0.0044 };
#ifdef DCRAW_VERBOSE
if (verbose) fprintf (stderr,_("Wavelet denoising...\n"));
#endif
while (maximum << scale < 0x10000) scale++;
maximum <<= --scale;
black <<= scale;
FORC4 cblack[c] <<= scale;
if ((size = iheight*iwidth) < 0x15550000)
fimg = (float *) malloc ((size*3 + iheight + iwidth) * sizeof *fimg);
merror (fimg, "wavelet_denoise()");
temp = fimg + size*3;
if ((nc = colors) == 3 && filters) nc++;
FORC(nc) { /* denoise R,G1,B,G3 individually */
for (i=0; i < size; i++)
fimg[i] = 256 * sqrt((double)(image[i][c] << scale));
for (hpass=lev=0; lev < 5; lev++) {
lpass = size*((lev & 1)+1);
for (row=0; row < iheight; row++) {
hat_transform (temp, fimg+hpass+row*iwidth, 1, iwidth, 1 << lev);
for (col=0; col < iwidth; col++)
fimg[lpass + row*iwidth + col] = temp[col] * 0.25;
}
for (col=0; col < iwidth; col++) {
hat_transform (temp, fimg+lpass+col, iwidth, iheight, 1 << lev);
for (row=0; row < iheight; row++)
fimg[lpass + row*iwidth + col] = temp[row] * 0.25;
}
thold = threshold * noise[lev];
for (i=0; i < size; i++) {
fimg[hpass+i] -= fimg[lpass+i];
if (fimg[hpass+i] < -thold) fimg[hpass+i] += thold;
else if (fimg[hpass+i] > thold) fimg[hpass+i] -= thold;
else fimg[hpass+i] = 0;
if (hpass) fimg[i] += fimg[hpass+i];
}
hpass = lpass;
}
for (i=0; i < size; i++)
image[i][c] = CLIP(SQR(fimg[i]+fimg[lpass+i])/0x10000);
}
if (filters && colors == 3) { /* pull G1 and G3 closer together */
for (row=0; row < 2; row++) {
mul[row] = 0.125 * pre_mul[FC(row+1,0) | 1] / pre_mul[FC(row,0) | 1];
blk[row] = cblack[FC(row,0) | 1];
}
for (i=0; i < 4; i++)
window[i] = (ushort *) fimg + width*i;
for (wlast=-1, row=1; row < height-1; row++) {
while (wlast < row+1) {
for (wlast++, i=0; i < 4; i++)
window[(i+3) & 3] = window[i];
for (col = FC(wlast,1) & 1; col < width; col+=2)
window[2][col] = BAYER(wlast,col);
}
thold = threshold/512;
for (col = (FC(row,0) & 1)+1; col < width-1; col+=2) {
avg = ( window[0][col-1] + window[0][col+1] +
window[2][col-1] + window[2][col+1] - blk[~row & 1]*4 )
* mul[row & 1] + (window[1][col] + blk[row & 1]) * 0.5;
avg = avg < 0 ? 0 : sqrt(avg);
diff = sqrt((double)BAYER(row,col)) - avg;
if (diff < -thold) diff += thold;
else if (diff > thold) diff -= thold;
else diff = 0;
BAYER(row,col) = CLIP(SQR(avg+diff) + 0.5);
}
}
}
free (fimg);
}
#else /* LIBRAW_USE_OPENMP */
void CLASS wavelet_denoise()
{
float *fimg=0, *temp, thold, mul[2], avg, diff;
int scale=1, size, lev, hpass, lpass, row, col, nc, c, i, wlast, blk[2];
ushort *window[4];
static const float noise[] =
{ 0.8002,0.2735,0.1202,0.0585,0.0291,0.0152,0.0080,0.0044 };
#ifdef DCRAW_VERBOSE
if (verbose) fprintf (stderr,_("Wavelet denoising...\n"));
#endif
while (maximum << scale < 0x10000) scale++;
maximum <<= --scale;
black <<= scale;
FORC4 cblack[c] <<= scale;
if ((size = iheight*iwidth) < 0x15550000)
fimg = (float *) malloc ((size*3 + iheight + iwidth) * sizeof *fimg);
merror (fimg, "wavelet_denoise()");
temp = fimg + size*3;
if ((nc = colors) == 3 && filters) nc++;
#ifdef LIBRAW_LIBRARY_BUILD
#pragma omp parallel default(shared) private(i,col,row,thold,lev,lpass,hpass,temp,c) firstprivate(scale,size)
#endif
{
temp = (float*)malloc( (iheight + iwidth) * sizeof *fimg);
FORC(nc) { /* denoise R,G1,B,G3 individually */
#ifdef LIBRAW_LIBRARY_BUILD
#pragma omp for
#endif
for (i=0; i < size; i++)
fimg[i] = 256 * sqrt((double)(image[i][c] << scale));
for (hpass=lev=0; lev < 5; lev++) {
lpass = size*((lev & 1)+1);
#ifdef LIBRAW_LIBRARY_BUILD
#pragma omp for
#endif
for (row=0; row < iheight; row++) {
hat_transform (temp, fimg+hpass+row*iwidth, 1, iwidth, 1 << lev);
for (col=0; col < iwidth; col++)
fimg[lpass + row*iwidth + col] = temp[col] * 0.25;
}
#ifdef LIBRAW_LIBRARY_BUILD
#pragma omp for
#endif
for (col=0; col < iwidth; col++) {
hat_transform (temp, fimg+lpass+col, iwidth, iheight, 1 << lev);
for (row=0; row < iheight; row++)
fimg[lpass + row*iwidth + col] = temp[row] * 0.25;
}
thold = threshold * noise[lev];
#ifdef LIBRAW_LIBRARY_BUILD
#pragma omp for
#endif
for (i=0; i < size; i++) {
fimg[hpass+i] -= fimg[lpass+i];
if (fimg[hpass+i] < -thold) fimg[hpass+i] += thold;
else if (fimg[hpass+i] > thold) fimg[hpass+i] -= thold;
else fimg[hpass+i] = 0;
if (hpass) fimg[i] += fimg[hpass+i];
}
hpass = lpass;
}
#ifdef LIBRAW_LIBRARY_BUILD
#pragma omp for
#endif
for (i=0; i < size; i++)
image[i][c] = CLIP(SQR(fimg[i]+fimg[lpass+i])/0x10000);
}
free(temp);
} /* end omp parallel */
/* the following loops are hard to parallize, no idea yes,
* problem is wlast which is carrying dependency
* second part should be easyer, but did not yet get it right.
*/
if (filters && colors == 3) { /* pull G1 and G3 closer together */
for (row=0; row < 2; row++){
mul[row] = 0.125 * pre_mul[FC(row+1,0) | 1] / pre_mul[FC(row,0) | 1];
blk[row] = cblack[FC(row,0) | 1];
}
for (i=0; i < 4; i++)
window[i] = (ushort *) fimg + width*i;
for (wlast=-1, row=1; row < height-1; row++) {
while (wlast < row+1) {
for (wlast++, i=0; i < 4; i++)
window[(i+3) & 3] = window[i];
for (col = FC(wlast,1) & 1; col < width; col+=2)
window[2][col] = BAYER(wlast,col);
}
thold = threshold/512;
for (col = (FC(row,0) & 1)+1; col < width-1; col+=2) {
avg = ( window[0][col-1] + window[0][col+1] +
window[2][col-1] + window[2][col+1] - blk[~row & 1]*4 )
* mul[row & 1] + (window[1][col] + blk[row & 1]) * 0.5;
avg = avg < 0 ? 0 : sqrt(avg);
diff = sqrt((double)BAYER(row,col)) - avg;
if (diff < -thold) diff += thold;
else if (diff > thold) diff -= thold;
else diff = 0;
BAYER(row,col) = CLIP(SQR(avg+diff) + 0.5);
}
}
}
free (fimg);
}
#endif
// green equilibration
void CLASS green_matching()
{
int i,j;
double m1,m2,c1,c2;
int o1_1,o1_2,o1_3,o1_4;
int o2_1,o2_2,o2_3,o2_4;
ushort (*img)[4];
const int margin = 3;
int oj = 2, oi = 2;
float f;
const float thr = 0.01f;
if(half_size || shrink) return;
if(FC(oj, oi) != 3) oj++;
if(FC(oj, oi) != 3) oi++;
if(FC(oj, oi) != 3) oj--;
img = (ushort (*)[4]) calloc (height*width, sizeof *image);
merror (img, "green_matching()");
memcpy(img,image,height*width*sizeof *image);
for(j=oj;j<height-margin;j+=2)
for(i=oi;i<width-margin;i+=2){
o1_1=img[(j-1)*width+i-1][1];
o1_2=img[(j-1)*width+i+1][1];
o1_3=img[(j+1)*width+i-1][1];
o1_4=img[(j+1)*width+i+1][1];
o2_1=img[(j-2)*width+i][3];
o2_2=img[(j+2)*width+i][3];
o2_3=img[j*width+i-2][3];
o2_4=img[j*width+i+2][3];
m1=(o1_1+o1_2+o1_3+o1_4)/4.0;
m2=(o2_1+o2_2+o2_3+o2_4)/4.0;
c1=(abs(o1_1-o1_2)+abs(o1_1-o1_3)+abs(o1_1-o1_4)+abs(o1_2-o1_3)+abs(o1_3-o1_4)+abs(o1_2-o1_4))/6.0;
c2=(abs(o2_1-o2_2)+abs(o2_1-o2_3)+abs(o2_1-o2_4)+abs(o2_2-o2_3)+abs(o2_3-o2_4)+abs(o2_2-o2_4))/6.0;
if((img[j*width+i][3]<maximum*0.95)&&(c1<maximum*thr)&&(c2<maximum*thr))
{
f = image[j*width+i][3]*m1/m2;
image[j*width+i][3]=f>0xffff?0xffff:f;
}
}
free(img);
}
void CLASS scale_colors()
{
unsigned bottom, right, size, row, col, ur, uc, i, x, y, c, sum[8];
int val, dark, sat;
double dsum[8], dmin, dmax;
float scale_mul[4], fr, fc;
ushort *img=0, *pix;
#ifdef LIBRAW_LIBRARY_BUILD
RUN_CALLBACK(LIBRAW_PROGRESS_SCALE_COLORS,0,2);
#endif
if (user_mul[0])
memcpy (pre_mul, user_mul, sizeof pre_mul);
if (use_auto_wb || (use_camera_wb && cam_mul[0] == -1)) {
memset (dsum, 0, sizeof dsum);
bottom = MIN (greybox[1]+greybox[3], height);
right = MIN (greybox[0]+greybox[2], width);
for (row=greybox[1]; row < bottom; row += 8)
for (col=greybox[0]; col < right; col += 8) {
memset (sum, 0, sizeof sum);
for (y=row; y < row+8 && y < bottom; y++)
for (x=col; x < col+8 && x < right; x++)
FORC4 {
if (filters) {
c = fcol(y,x);
val = BAYER2(y,x);
} else
val = image[y*width+x][c];
if (val > maximum-25) goto skip_block;
if ((val -= cblack[c]) < 0) val = 0;
sum[c] += val;
sum[c+4]++;
if (filters) break;
}
FORC(8) dsum[c] += sum[c];
skip_block: ;
}
FORC4 if (dsum[c]) pre_mul[c] = dsum[c+4] / dsum[c];
}
if (use_camera_wb && cam_mul[0] != -1) {
memset (sum, 0, sizeof sum);
for (row=0; row < 8; row++)
for (col=0; col < 8; col++) {
c = FC(row,col);
if ((val = white[row][col] - cblack[c]) > 0)
sum[c] += val;
sum[c+4]++;
}
#ifdef LIBRAW_LIBRARY_BUILD
if(load_raw == &LibRaw::nikon_load_sraw)
{
// Nikon sRAW: camera WB already applied:
pre_mul[0]=pre_mul[1]=pre_mul[2]=pre_mul[3]=1.0;
}
else
#endif
if (sum[0] && sum[1] && sum[2] && sum[3])
FORC4 pre_mul[c] = (float) sum[c+4] / sum[c];
else if (cam_mul[0] && cam_mul[2])
memcpy (pre_mul, cam_mul, sizeof pre_mul);
else
{
#ifdef LIBRAW_LIBRARY_BUILD
imgdata.process_warnings |= LIBRAW_WARN_BAD_CAMERA_WB;
#endif
#ifdef DCRAW_VERBOSE
fprintf (stderr,_("%s: Cannot use camera white balance.\n"), ifname);
#endif
}
}
#ifdef LIBRAW_LIBRARY_BUILD
// Nikon sRAW, daylight
if (load_raw == &LibRaw::nikon_load_sraw
&& !use_camera_wb && !use_auto_wb
&& cam_mul[0] > 0.001f && cam_mul[1] > 0.001f && cam_mul[2] > 0.001f )
{
for(c=0;c<3;c++)
pre_mul[c]/=cam_mul[c];
}
#endif
if (pre_mul[1] == 0) pre_mul[1] = 1;
if (pre_mul[3] == 0) pre_mul[3] = colors < 4 ? pre_mul[1] : 1;
dark = black;
sat = maximum;
if (threshold) wavelet_denoise();
maximum -= black;
for (dmin=DBL_MAX, dmax=c=0; c < 4; c++) {
if (dmin > pre_mul[c])
dmin = pre_mul[c];
if (dmax < pre_mul[c])
dmax = pre_mul[c];
}
if (!highlight) dmax = dmin;
FORC4 scale_mul[c] = (pre_mul[c] /= dmax) * 65535.0 / maximum;
#ifdef DCRAW_VERBOSE
if (verbose) {
fprintf (stderr,
_("Scaling with darkness %d, saturation %d, and\nmultipliers"), dark, sat);
FORC4 fprintf (stderr, " %f", pre_mul[c]);
fputc ('\n', stderr);
}
#endif
if (filters > 1000 && (cblack[4]+1)/2 == 1 && (cblack[5]+1)/2 == 1) {
FORC4 cblack[FC(c/2,c%2)] +=
cblack[6 + c/2 % cblack[4] * cblack[5] + c%2 % cblack[5]];
cblack[4] = cblack[5] = 0;
}
size = iheight*iwidth;
#ifdef LIBRAW_LIBRARY_BUILD
scale_colors_loop(scale_mul);
#else
for (i=0; i < size*4; i++) {
if (!(val = image[0][i])) continue;
if (cblack[4] && cblack[5])
val -= cblack[6 + i/4 / iwidth % cblack[4] * cblack[5] +
i/4 % iwidth % cblack[5]];
val -= cblack[i & 3];
val *= scale_mul[i & 3];
image[0][i] = CLIP(val);
}
#endif
if ((aber[0] != 1 || aber[2] != 1) && colors == 3) {
#ifdef DCRAW_VERBOSE
if (verbose)
fprintf (stderr,_("Correcting chromatic aberration...\n"));
#endif
for (c=0; c < 4; c+=2) {
if (aber[c] == 1) continue;
img = (ushort *) malloc (size * sizeof *img);
merror (img, "scale_colors()");
for (i=0; i < size; i++)
img[i] = image[i][c];
for (row=0; row < iheight; row++) {
ur = fr = (row - iheight*0.5) * aber[c] + iheight*0.5;
if (ur > iheight-2) continue;
fr -= ur;
for (col=0; col < iwidth; col++) {
uc = fc = (col - iwidth*0.5) * aber[c] + iwidth*0.5;
if (uc > iwidth-2) continue;
fc -= uc;
pix = img + ur*iwidth + uc;
image[row*iwidth+col][c] =
(pix[ 0]*(1-fc) + pix[ 1]*fc) * (1-fr) +
(pix[iwidth]*(1-fc) + pix[iwidth+1]*fc) * fr;
}
}
free(img);
}
}
#ifdef LIBRAW_LIBRARY_BUILD
RUN_CALLBACK(LIBRAW_PROGRESS_SCALE_COLORS,1,2);
#endif
}
void CLASS pre_interpolate()
{
ushort (*img)[4];
int row, col, c;
#ifdef LIBRAW_LIBRARY_BUILD
RUN_CALLBACK(LIBRAW_PROGRESS_PRE_INTERPOLATE,0,2);
#endif
if (shrink) {
if (half_size) {
height = iheight;
width = iwidth;
if (filters == 9) {
for (row=0; row < 3; row++)
for (col=1; col < 4; col++)
if (!(image[row*width+col][0] | image[row*width+col][2]))
goto break2; break2:
for ( ; row < height; row+=3)
for (col=(col-1)%3+1; col < width-1; col+=3) {
img = image + row*width+col;
for (c=0; c < 3; c+=2)
img[0][c] = (img[-1][c] + img[1][c]) >> 1;
}
}
} else {
img = (ushort (*)[4]) calloc (height, width*sizeof *img);
merror (img, "pre_interpolate()");
for (row=0; row < height; row++)
for (col=0; col < width; col++) {
c = fcol(row,col);
img[row*width+col][c] = image[(row >> 1)*iwidth+(col >> 1)][c];
}
free (image);
image = img;
shrink = 0;
}
}
if (filters > 1000 && colors == 3) {
mix_green = four_color_rgb ^ half_size;
if (four_color_rgb | half_size) colors++;
else {
for (row = FC(1,0) >> 1; row < height; row+=2)
for (col = FC(row,1) & 1; col < width; col+=2)
image[row*width+col][1] = image[row*width+col][3];
filters &= ~((filters & 0x55555555) << 1);
}
}
if (half_size) filters = 0;
#ifdef LIBRAW_LIBRARY_BUILD
RUN_CALLBACK(LIBRAW_PROGRESS_PRE_INTERPOLATE,1,2);
#endif
}
void CLASS border_interpolate (int border)
{
unsigned row, col, y, x, f, c, sum[8];
for (row=0; row < height; row++)
for (col=0; col < width; col++) {
if (col==border && row >= border && row < height-border)
col = width-border;
memset (sum, 0, sizeof sum);
for (y=row-1; y != row+2; y++)
for (x=col-1; x != col+2; x++)
if (y < height && x < width) {
f = fcol(y,x);
sum[f] += image[y*width+x][f];
sum[f+4]++;
}
f = fcol(row,col);
FORCC if (c != f && sum[c+4])
image[row*width+col][c] = sum[c] / sum[c+4];
}
}
void CLASS lin_interpolate_loop(int code[16][16][32],int size)
{
int row;
for (row=1; row < height-1; row++)
{
int col,*ip;
ushort *pix;
for (col=1; col < width-1; col++) {
int i;
int sum[4];
pix = image[row*width+col];
ip = code[row % size][col % size];
memset (sum, 0, sizeof sum);
for (i=*ip++; i--; ip+=3)
sum[ip[2]] += pix[ip[0]] << ip[1];
for (i=colors; --i; ip+=2)
pix[ip[0]] = sum[ip[0]] * ip[1] >> 8;
}
}
}
void CLASS lin_interpolate()
{
int code[16][16][32], size=16, *ip, sum[4];
int f, c, x, y, row, col, shift, color;
#ifdef DCRAW_VERBOSE
if (verbose) fprintf (stderr,_("Bilinear interpolation...\n"));
#endif
#ifdef LIBRAW_LIBRARY_BUILD
RUN_CALLBACK(LIBRAW_PROGRESS_INTERPOLATE,0,3);
#endif
if (filters == 9) size = 6;
border_interpolate(1);
for (row=0; row < size; row++)
for (col=0; col < size; col++) {
ip = code[row][col]+1;
f = fcol(row,col);
memset (sum, 0, sizeof sum);
for (y=-1; y <= 1; y++)
for (x=-1; x <= 1; x++) {
shift = (y==0) + (x==0);
color = fcol(row+y,col+x);
if (color == f) continue;
*ip++ = (width*y + x)*4 + color;
*ip++ = shift;
*ip++ = color;
sum[color] += 1 << shift;
}
code[row][col][0] = (ip - code[row][col]) / 3;
FORCC
if (c != f) {
*ip++ = c;
*ip++ = sum[c]>0?256 / sum[c]:0;
}
}
#ifdef LIBRAW_LIBRARY_BUILD
RUN_CALLBACK(LIBRAW_PROGRESS_INTERPOLATE,1,3);
#endif
lin_interpolate_loop(code,size);
#ifdef LIBRAW_LIBRARY_BUILD
RUN_CALLBACK(LIBRAW_PROGRESS_INTERPOLATE,2,3);
#endif
}
/*
This algorithm is officially called:
"Interpolation using a Threshold-based variable number of gradients"
described in http://scien.stanford.edu/pages/labsite/1999/psych221/projects/99/tingchen/algodep/vargra.html
I've extended the basic idea to work with non-Bayer filter arrays.
Gradients are numbered clockwise from NW=0 to W=7.
*/
void CLASS vng_interpolate()
{
static const signed char *cp, terms[] = {
-2,-2,+0,-1,0,0x01, -2,-2,+0,+0,1,0x01, -2,-1,-1,+0,0,0x01,
-2,-1,+0,-1,0,0x02, -2,-1,+0,+0,0,0x03, -2,-1,+0,+1,1,0x01,
-2,+0,+0,-1,0,0x06, -2,+0,+0,+0,1,0x02, -2,+0,+0,+1,0,0x03,
-2,+1,-1,+0,0,0x04, -2,+1,+0,-1,1,0x04, -2,+1,+0,+0,0,0x06,
-2,+1,+0,+1,0,0x02, -2,+2,+0,+0,1,0x04, -2,+2,+0,+1,0,0x04,
-1,-2,-1,+0,0,0x80, -1,-2,+0,-1,0,0x01, -1,-2,+1,-1,0,0x01,
-1,-2,+1,+0,1,0x01, -1,-1,-1,+1,0,0x88, -1,-1,+1,-2,0,0x40,
-1,-1,+1,-1,0,0x22, -1,-1,+1,+0,0,0x33, -1,-1,+1,+1,1,0x11,
-1,+0,-1,+2,0,0x08, -1,+0,+0,-1,0,0x44, -1,+0,+0,+1,0,0x11,
-1,+0,+1,-2,1,0x40, -1,+0,+1,-1,0,0x66, -1,+0,+1,+0,1,0x22,
-1,+0,+1,+1,0,0x33, -1,+0,+1,+2,1,0x10, -1,+1,+1,-1,1,0x44,
-1,+1,+1,+0,0,0x66, -1,+1,+1,+1,0,0x22, -1,+1,+1,+2,0,0x10,
-1,+2,+0,+1,0,0x04, -1,+2,+1,+0,1,0x04, -1,+2,+1,+1,0,0x04,
+0,-2,+0,+0,1,0x80, +0,-1,+0,+1,1,0x88, +0,-1,+1,-2,0,0x40,
+0,-1,+1,+0,0,0x11, +0,-1,+2,-2,0,0x40, +0,-1,+2,-1,0,0x20,
+0,-1,+2,+0,0,0x30, +0,-1,+2,+1,1,0x10, +0,+0,+0,+2,1,0x08,
+0,+0,+2,-2,1,0x40, +0,+0,+2,-1,0,0x60, +0,+0,+2,+0,1,0x20,
+0,+0,+2,+1,0,0x30, +0,+0,+2,+2,1,0x10, +0,+1,+1,+0,0,0x44,
+0,+1,+1,+2,0,0x10, +0,+1,+2,-1,1,0x40, +0,+1,+2,+0,0,0x60,
+0,+1,+2,+1,0,0x20, +0,+1,+2,+2,0,0x10, +1,-2,+1,+0,0,0x80,
+1,-1,+1,+1,0,0x88, +1,+0,+1,+2,0,0x08, +1,+0,+2,-1,0,0x40,
+1,+0,+2,+1,0,0x10
}, chood[] = { -1,-1, -1,0, -1,+1, 0,+1, +1,+1, +1,0, +1,-1, 0,-1 };
ushort (*brow[5])[4], *pix;
int prow=8, pcol=2, *ip, *code[16][16], gval[8], gmin, gmax, sum[4];
int row, col, x, y, x1, x2, y1, y2, t, weight, grads, color, diag;
int g, diff, thold, num, c;
lin_interpolate();
#ifdef DCRAW_VERBOSE
if (verbose) fprintf (stderr,_("VNG interpolation...\n"));
#endif
if (filters == 1) prow = pcol = 16;
if (filters == 9) prow = pcol = 6;
ip = (int *) calloc (prow*pcol, 1280);
merror (ip, "vng_interpolate()");
for (row=0; row < prow; row++) /* Precalculate for VNG */
for (col=0; col < pcol; col++) {
code[row][col] = ip;
for (cp=terms, t=0; t < 64; t++) {
y1 = *cp++; x1 = *cp++;
y2 = *cp++; x2 = *cp++;
weight = *cp++;
grads = *cp++;
color = fcol(row+y1,col+x1);
if (fcol(row+y2,col+x2) != color) continue;
diag = (fcol(row,col+1) == color && fcol(row+1,col) == color) ? 2:1;
if (abs(y1-y2) == diag && abs(x1-x2) == diag) continue;
*ip++ = (y1*width + x1)*4 + color;
*ip++ = (y2*width + x2)*4 + color;
*ip++ = weight;
for (g=0; g < 8; g++)
if (grads & 1<<g) *ip++ = g;
*ip++ = -1;
}
*ip++ = INT_MAX;
for (cp=chood, g=0; g < 8; g++) {
y = *cp++; x = *cp++;
*ip++ = (y*width + x) * 4;
color = fcol(row,col);
if (fcol(row+y,col+x) != color && fcol(row+y*2,col+x*2) == color)
*ip++ = (y*width + x) * 8 + color;
else
*ip++ = 0;
}
}
brow[4] = (ushort (*)[4]) calloc (width*3, sizeof **brow);
merror (brow[4], "vng_interpolate()");
for (row=0; row < 3; row++)
brow[row] = brow[4] + row*width;
for (row=2; row < height-2; row++) { /* Do VNG interpolation */
#ifdef LIBRAW_LIBRARY_BUILD
if(!((row-2)%256))RUN_CALLBACK(LIBRAW_PROGRESS_INTERPOLATE,(row-2)/256+1,((height-3)/256)+1);
#endif
for (col=2; col < width-2; col++) {
pix = image[row*width+col];
ip = code[row % prow][col % pcol];
memset (gval, 0, sizeof gval);
while ((g = ip[0]) != INT_MAX) { /* Calculate gradients */
diff = ABS(pix[g] - pix[ip[1]]) << ip[2];
gval[ip[3]] += diff;
ip += 5;
if ((g = ip[-1]) == -1) continue;
gval[g] += diff;
while ((g = *ip++) != -1)
gval[g] += diff;
}
ip++;
gmin = gmax = gval[0]; /* Choose a threshold */
for (g=1; g < 8; g++) {
if (gmin > gval[g]) gmin = gval[g];
if (gmax < gval[g]) gmax = gval[g];
}
if (gmax == 0) {
memcpy (brow[2][col], pix, sizeof *image);
continue;
}
thold = gmin + (gmax >> 1);
memset (sum, 0, sizeof sum);
color = fcol(row,col);
for (num=g=0; g < 8; g++,ip+=2) { /* Average the neighbors */
if (gval[g] <= thold) {
FORCC
if (c == color && ip[1])
sum[c] += (pix[c] + pix[ip[1]]) >> 1;
else
sum[c] += pix[ip[0] + c];
num++;
}
}
FORCC { /* Save to buffer */
t = pix[color];
if (c != color)
t += (sum[c] - sum[color]) / num;
brow[2][col][c] = CLIP(t);
}
}
if (row > 3) /* Write buffer to image */
memcpy (image[(row-2)*width+2], brow[0]+2, (width-4)*sizeof *image);
for (g=0; g < 4; g++)
brow[(g-1) & 3] = brow[g];
}
memcpy (image[(row-2)*width+2], brow[0]+2, (width-4)*sizeof *image);
memcpy (image[(row-1)*width+2], brow[1]+2, (width-4)*sizeof *image);
free (brow[4]);
free (code[0][0]);
}
/*
Patterned Pixel Grouping Interpolation by Alain Desbiolles
*/
void CLASS ppg_interpolate()
{
int dir[5] = { 1, width, -1, -width, 1 };
int row, col, diff[2], guess[2], c, d, i;
ushort (*pix)[4];
border_interpolate(3);
#ifdef DCRAW_VERBOSE
if (verbose) fprintf (stderr,_("PPG interpolation...\n"));
#endif
/* Fill in the green layer with gradients and pattern recognition: */
#ifdef LIBRAW_LIBRARY_BUILD
RUN_CALLBACK(LIBRAW_PROGRESS_INTERPOLATE,0,3);
#ifdef LIBRAW_USE_OPENMP
#pragma omp parallel for default(shared) private(guess, diff, row, col, d, c, i, pix) schedule(static)
#endif
#endif
for (row=3; row < height-3; row++)
for (col=3+(FC(row,3) & 1), c=FC(row,col); col < width-3; col+=2) {
pix = image + row*width+col;
for (i=0; (d=dir[i]) > 0; i++) {
guess[i] = (pix[-d][1] + pix[0][c] + pix[d][1]) * 2
- pix[-2*d][c] - pix[2*d][c];
diff[i] = ( ABS(pix[-2*d][c] - pix[ 0][c]) +
ABS(pix[ 2*d][c] - pix[ 0][c]) +
ABS(pix[ -d][1] - pix[ d][1]) ) * 3 +
( ABS(pix[ 3*d][1] - pix[ d][1]) +
ABS(pix[-3*d][1] - pix[-d][1]) ) * 2;
}
d = dir[i = diff[0] > diff[1]];
pix[0][1] = ULIM(guess[i] >> 2, pix[d][1], pix[-d][1]);
}
/* Calculate red and blue for each green pixel: */
#ifdef LIBRAW_LIBRARY_BUILD
RUN_CALLBACK(LIBRAW_PROGRESS_INTERPOLATE,1,3);
#ifdef LIBRAW_USE_OPENMP
#pragma omp parallel for default(shared) private(guess, diff, row, col, d, c, i, pix) schedule(static)
#endif
#endif
for (row=1; row < height-1; row++)
for (col=1+(FC(row,2) & 1), c=FC(row,col+1); col < width-1; col+=2) {
pix = image + row*width+col;
for (i=0; (d=dir[i]) > 0; c=2-c, i++)
pix[0][c] = CLIP((pix[-d][c] + pix[d][c] + 2*pix[0][1]
- pix[-d][1] - pix[d][1]) >> 1);
}
/* Calculate blue for red pixels and vice versa: */
#ifdef LIBRAW_LIBRARY_BUILD
RUN_CALLBACK(LIBRAW_PROGRESS_INTERPOLATE,2,3);
#ifdef LIBRAW_USE_OPENMP
#pragma omp parallel for default(shared) private(guess, diff, row, col, d, c, i, pix) schedule(static)
#endif
#endif
for (row=1; row < height-1; row++)
for (col=1+(FC(row,1) & 1), c=2-FC(row,col); col < width-1; col+=2) {
pix = image + row*width+col;
for (i=0; (d=dir[i]+dir[i+1]) > 0; i++) {
diff[i] = ABS(pix[-d][c] - pix[d][c]) +
ABS(pix[-d][1] - pix[0][1]) +
ABS(pix[ d][1] - pix[0][1]);
guess[i] = pix[-d][c] + pix[d][c] + 2*pix[0][1]
- pix[-d][1] - pix[d][1];
}
if (diff[0] != diff[1])
pix[0][c] = CLIP(guess[diff[0] > diff[1]] >> 1);
else
pix[0][c] = CLIP((guess[0]+guess[1]) >> 2);
}
}
void CLASS cielab (ushort rgb[3], short lab[3])
{
int c, i, j, k;
float r, xyz[3];
#ifdef LIBRAW_NOTHREADS
static float cbrt[0x10000], xyz_cam[3][4];
#else
#define cbrt tls->ahd_data.cbrt
#define xyz_cam tls->ahd_data.xyz_cam
#endif
if (!rgb) {
#ifndef LIBRAW_NOTHREADS
if(cbrt[0] < -1.0f)
#endif
for (i=0; i < 0x10000; i++) {
r = i / 65535.0;
cbrt[i] = r > 0.008856 ? pow(r,1.f/3.0f) : 7.787f*r + 16.f/116.0f;
}
for (i=0; i < 3; i++)
for (j=0; j < colors; j++)
for (xyz_cam[i][j] = k=0; k < 3; k++)
xyz_cam[i][j] += xyz_rgb[i][k] * rgb_cam[k][j] / d65_white[i];
return;
}
xyz[0] = xyz[1] = xyz[2] = 0.5;
FORCC {
xyz[0] += xyz_cam[0][c] * rgb[c];
xyz[1] += xyz_cam[1][c] * rgb[c];
xyz[2] += xyz_cam[2][c] * rgb[c];
}
xyz[0] = cbrt[CLIP((int) xyz[0])];
xyz[1] = cbrt[CLIP((int) xyz[1])];
xyz[2] = cbrt[CLIP((int) xyz[2])];
lab[0] = 64 * (116 * xyz[1] - 16);
lab[1] = 64 * 500 * (xyz[0] - xyz[1]);
lab[2] = 64 * 200 * (xyz[1] - xyz[2]);
#ifndef LIBRAW_NOTHREADS
#undef cbrt
#undef xyz_cam
#endif
}
#define TS 512 /* Tile Size */
#define fcol(row,col) xtrans[(row+6) % 6][(col+6) % 6]
/*
Frank Markesteijn's algorithm for Fuji X-Trans sensors
*/
void CLASS xtrans_interpolate (int passes)
{
int c, d, f, g, h, i, v, ng, row, col, top, left, mrow, mcol;
int val, ndir, pass, hm[8], avg[4], color[3][8];
static const short orth[12] = { 1,0,0,1,-1,0,0,-1,1,0,0,1 },
patt[2][16] = { { 0,1,0,-1,2,0,-1,0,1,1,1,-1,0,0,0,0 },
{ 0,1,0,-2,1,0,-2,0,1,1,-2,-2,1,-1,-1,1 } },
dir[4] = { 1,TS,TS+1,TS-1 };
short allhex[3][3][2][8], *hex;
ushort min, max, sgrow, sgcol;
ushort (*rgb)[TS][TS][3], (*rix)[3], (*pix)[4];
short (*lab) [TS][3], (*lix)[3];
float (*drv)[TS][TS], diff[6], tr;
char (*homo)[TS][TS], *buffer;
#ifdef DCRAW_VERBOSE
if (verbose)
fprintf (stderr,_("%d-pass X-Trans interpolation...\n"), passes);
#endif
cielab (0,0);
ndir = 4 << (passes > 1);
buffer = (char *) malloc (TS*TS*(ndir*11+6));
merror (buffer, "xtrans_interpolate()");
rgb = (ushort(*)[TS][TS][3]) buffer;
lab = (short (*) [TS][3])(buffer + TS*TS*(ndir*6));
drv = (float (*)[TS][TS]) (buffer + TS*TS*(ndir*6+6));
homo = (char (*)[TS][TS]) (buffer + TS*TS*(ndir*10+6));
/* Map a green hexagon around each non-green pixel and vice versa: */
for (row=0; row < 3; row++)
for (col=0; col < 3; col++)
for (ng=d=0; d < 10; d+=2) {
g = fcol(row,col) == 1;
if (fcol(row+orth[d],col+orth[d+2]) == 1) ng=0; else ng++;
if (ng == 4) { sgrow = row; sgcol = col; }
if (ng == g+1) FORC(8) {
v = orth[d ]*patt[g][c*2] + orth[d+1]*patt[g][c*2+1];
h = orth[d+2]*patt[g][c*2] + orth[d+3]*patt[g][c*2+1];
allhex[row][col][0][c^(g*2 & d)] = h + v*width;
allhex[row][col][1][c^(g*2 & d)] = h + v*TS;
}
}
/* Set green1 and green3 to the minimum and maximum allowed values: */
for (row=2; row < height-2; row++)
for (min=~(max=0), col=2; col < width-2; col++) {
if (fcol(row,col) == 1 && (min=~(max=0))) continue;
pix = image + row*width + col;
hex = allhex[row % 3][col % 3][0];
if (!max) FORC(6) {
val = pix[hex[c]][1];
if (min > val) min = val;
if (max < val) max = val;
}
pix[0][1] = min;
pix[0][3] = max;
switch ((row-sgrow) % 3) {
case 1: if (row < height-3) { row++; col--; } break;
case 2: if ((min=~(max=0)) && (col+=2) < width-3 && row > 2) row--;
}
}
for (top=3; top < height-19; top += TS-16)
for (left=3; left < width-19; left += TS-16) {
mrow = MIN (top+TS, height-3);
mcol = MIN (left+TS, width-3);
for (row=top; row < mrow; row++)
for (col=left; col < mcol; col++)
memcpy (rgb[0][row-top][col-left], image[row*width+col], 6);
FORC3 memcpy (rgb[c+1], rgb[0], sizeof *rgb);
/* Interpolate green horizontally, vertically, and along both diagonals: */
for (row=top; row < mrow; row++)
for (col=left; col < mcol; col++) {
if ((f = fcol(row,col)) == 1) continue;
pix = image + row*width + col;
hex = allhex[row % 3][col % 3][0];
color[1][0] = 174 * (pix[ hex[1]][1] + pix[ hex[0]][1]) -
46 * (pix[2*hex[1]][1] + pix[2*hex[0]][1]);
color[1][1] = 223 * pix[ hex[3]][1] + pix[ hex[2]][1] * 33 +
92 * (pix[ 0 ][f] - pix[ -hex[2]][f]);
FORC(2) color[1][2+c] =
164 * pix[hex[4+c]][1] + 92 * pix[-2*hex[4+c]][1] + 33 *
(2*pix[0][f] - pix[3*hex[4+c]][f] - pix[-3*hex[4+c]][f]);
FORC4 rgb[c^!((row-sgrow) % 3)][row-top][col-left][1] =
LIM(color[1][c] >> 8,pix[0][1],pix[0][3]);
}
for (pass=0; pass < passes; pass++) {
if (pass == 1)
memcpy (rgb+=4, buffer, 4*sizeof *rgb);
/* Recalculate green from interpolated values of closer pixels: */
if (pass) {
for (row=top+2; row < mrow-2; row++)
for (col=left+2; col < mcol-2; col++) {
if ((f = fcol(row,col)) == 1) continue;
pix = image + row*width + col;
hex = allhex[row % 3][col % 3][1];
for (d=3; d < 6; d++) {
rix = &rgb[(d-2)^!((row-sgrow) % 3)][row-top][col-left];
val = rix[-2*hex[d]][1] + 2*rix[hex[d]][1]
- rix[-2*hex[d]][f] - 2*rix[hex[d]][f] + 3*rix[0][f];
rix[0][1] = LIM(val/3,pix[0][1],pix[0][3]);
}
}
}
/* Interpolate red and blue values for solitary green pixels: */
for (row=(top-sgrow+4)/3*3+sgrow; row < mrow-2; row+=3)
for (col=(left-sgcol+4)/3*3+sgcol; col < mcol-2; col+=3) {
rix = &rgb[0][row-top][col-left];
h = fcol(row,col+1);
memset (diff, 0, sizeof diff);
for (i=1, d=0; d < 6; d++, i^=TS^1, h^=2) {
for (c=0; c < 2; c++, h^=2) {
g = 2*rix[0][1] - rix[i<<c][1] - rix[-i<<c][1];
color[h][d] = g + rix[i<<c][h] + rix[-i<<c][h];
if (d > 1)
diff[d] += SQR (rix[i<<c][1] - rix[-i<<c][1]
- rix[i<<c][h] + rix[-i<<c][h]) + SQR(g);
}
if (d > 1 && (d & 1))
if (diff[d-1] < diff[d])
FORC(2) color[c*2][d] = color[c*2][d-1];
if (d < 2 || (d & 1)) {
FORC(2) rix[0][c*2] = CLIP(color[c*2][d]/2);
rix += TS*TS;
}
}
}
/* Interpolate red for blue pixels and vice versa: */
for (row=top+3; row < mrow-3; row++)
for (col=left+3; col < mcol-3; col++) {
if ((f = 2-fcol(row,col)) == 1) continue;
rix = &rgb[0][row-top][col-left];
c = (row-sgrow) % 3 ? TS:1;
h = 3 * (c ^ TS ^ 1);
for (d=0; d < 4; d++, rix += TS*TS) {
i = d > 1 || ((d ^ c) & 1) ||
((ABS(rix[0][1]-rix[c][1])+ABS(rix[0][1]-rix[-c][1])) <
2*(ABS(rix[0][1]-rix[h][1])+ABS(rix[0][1]-rix[-h][1]))) ? c:h;
rix[0][f] = CLIP((rix[i][f] + rix[-i][f] +
2*rix[0][1] - rix[i][1] - rix[-i][1])/2);
}
}
/* Fill in red and blue for 2x2 blocks of green: */
for (row=top+2; row < mrow-2; row++) if ((row-sgrow) % 3)
for (col=left+2; col < mcol-2; col++) if ((col-sgcol) % 3) {
rix = &rgb[0][row-top][col-left];
hex = allhex[row % 3][col % 3][1];
for (d=0; d < ndir; d+=2, rix += TS*TS)
if (hex[d] + hex[d+1]) {
g = 3*rix[0][1] - 2*rix[hex[d]][1] - rix[hex[d+1]][1];
for (c=0; c < 4; c+=2) rix[0][c] =
CLIP((g + 2*rix[hex[d]][c] + rix[hex[d+1]][c])/3);
} else {
g = 2*rix[0][1] - rix[hex[d]][1] - rix[hex[d+1]][1];
for (c=0; c < 4; c+=2) rix[0][c] =
CLIP((g + rix[hex[d]][c] + rix[hex[d+1]][c])/2);
}
}
}
rgb = (ushort(*)[TS][TS][3]) buffer;
mrow -= top;
mcol -= left;
/* Convert to CIELab and differentiate in all directions: */
for (d=0; d < ndir; d++) {
for (row=2; row < mrow-2; row++)
for (col=2; col < mcol-2; col++)
cielab (rgb[d][row][col], lab[row][col]);
for (f=dir[d & 3],row=3; row < mrow-3; row++)
for (col=3; col < mcol-3; col++) {
lix = &lab[row][col];
g = 2*lix[0][0] - lix[f][0] - lix[-f][0];
drv[d][row][col] = SQR(g)
+ SQR((2*lix[0][1] - lix[f][1] - lix[-f][1] + g*500/232))
+ SQR((2*lix[0][2] - lix[f][2] - lix[-f][2] - g*500/580));
}
}
/* Build homogeneity maps from the derivatives: */
memset(homo, 0, ndir*TS*TS);
for (row=4; row < mrow-4; row++)
for (col=4; col < mcol-4; col++) {
for (tr=FLT_MAX, d=0; d < ndir; d++)
if (tr > drv[d][row][col])
tr = drv[d][row][col];
tr *= 8;
for (d=0; d < ndir; d++)
for (v=-1; v <= 1; v++)
for (h=-1; h <= 1; h++)
if (drv[d][row+v][col+h] <= tr)
homo[d][row][col]++;
}
/* Average the most homogenous pixels for the final result: */
if (height-top < TS+4) mrow = height-top+2;
if (width-left < TS+4) mcol = width-left+2;
for (row = MIN(top,8); row < mrow-8; row++)
for (col = MIN(left,8); col < mcol-8; col++) {
for (d=0; d < ndir; d++)
for (hm[d]=0, v=-2; v <= 2; v++)
for (h=-2; h <= 2; h++)
hm[d] += homo[d][row+v][col+h];
for (d=0; d < ndir-4; d++)
if (hm[d] < hm[d+4]) hm[d ] = 0; else
if (hm[d] > hm[d+4]) hm[d+4] = 0;
for (max=hm[0],d=1; d < ndir; d++)
if (max < hm[d]) max = hm[d];
max -= max >> 3;
memset (avg, 0, sizeof avg);
for (d=0; d < ndir; d++)
if (hm[d] >= max) {
FORC3 avg[c] += rgb[d][row][col][c];
avg[3]++;
}
FORC3 image[(row+top)*width+col+left][c] = avg[c]/avg[3];
}
}
free(buffer);
border_interpolate(8);
}
#undef fcol
/*
Adaptive Homogeneity-Directed interpolation is based on
the work of Keigo Hirakawa, Thomas Parks, and Paul Lee.
*/
#ifdef LIBRAW_LIBRARY_BUILD
void CLASS ahd_interpolate_green_h_and_v(int top, int left, ushort (*out_rgb)[TS][TS][3])
{
int row, col;
int c, val;
ushort (*pix)[4];
const int rowlimit = MIN(top+TS, height-2);
const int collimit = MIN(left+TS, width-2);
for (row = top; row < rowlimit; row++) {
col = left + (FC(row,left) & 1);
for (c = FC(row,col); col < collimit; col+=2) {
pix = image + row*width+col;
val = ((pix[-1][1] + pix[0][c] + pix[1][1]) * 2
- pix[-2][c] - pix[2][c]) >> 2;
out_rgb[0][row-top][col-left][1] = ULIM(val,pix[-1][1],pix[1][1]);
val = ((pix[-width][1] + pix[0][c] + pix[width][1]) * 2
- pix[-2*width][c] - pix[2*width][c]) >> 2;
out_rgb[1][row-top][col-left][1] = ULIM(val,pix[-width][1],pix[width][1]);
}
}
}
void CLASS ahd_interpolate_r_and_b_in_rgb_and_convert_to_cielab(int top, int left, ushort (*inout_rgb)[TS][3], short (*out_lab)[TS][3])
{
unsigned row, col;
int c, val;
ushort (*pix)[4];
ushort (*rix)[3];
short (*lix)[3];
float xyz[3];
const unsigned num_pix_per_row = 4*width;
const unsigned rowlimit = MIN(top+TS-1, height-3);
const unsigned collimit = MIN(left+TS-1, width-3);
ushort *pix_above;
ushort *pix_below;
int t1, t2;
for (row = top+1; row < rowlimit; row++) {
pix = image + row*width + left;
rix = &inout_rgb[row-top][0];
lix = &out_lab[row-top][0];
for (col = left+1; col < collimit; col++) {
pix++;
pix_above = &pix[0][0] - num_pix_per_row;
pix_below = &pix[0][0] + num_pix_per_row;
rix++;
lix++;
c = 2 - FC(row, col);
if (c == 1) {
c = FC(row+1,col);
t1 = 2-c;
val = pix[0][1] + (( pix[-1][t1] + pix[1][t1]
- rix[-1][1] - rix[1][1] ) >> 1);
rix[0][t1] = CLIP(val);
val = pix[0][1] + (( pix_above[c] + pix_below[c]
- rix[-TS][1] - rix[TS][1] ) >> 1);
} else {
t1 = -4+c; /* -4+c: pixel of color c to the left */
t2 = 4+c; /* 4+c: pixel of color c to the right */
val = rix[0][1] + (( pix_above[t1] + pix_above[t2]
+ pix_below[t1] + pix_below[t2]
- rix[-TS-1][1] - rix[-TS+1][1]
- rix[+TS-1][1] - rix[+TS+1][1] + 1) >> 2);
}
rix[0][c] = CLIP(val);
c = FC(row,col);
rix[0][c] = pix[0][c];
cielab(rix[0],lix[0]);
}
}
}
void CLASS ahd_interpolate_r_and_b_and_convert_to_cielab(int top, int left, ushort (*inout_rgb)[TS][TS][3], short (*out_lab)[TS][TS][3])
{
int direction;
for (direction = 0; direction < 2; direction++) {
ahd_interpolate_r_and_b_in_rgb_and_convert_to_cielab(top, left, inout_rgb[direction], out_lab[direction]);
}
}
void CLASS ahd_interpolate_build_homogeneity_map(int top, int left, short (*lab)[TS][TS][3], char (*out_homogeneity_map)[TS][2])
{
int row, col;
int tr, tc;
int direction;
int i;
short (*lix)[3];
short (*lixs[2])[3];
short *adjacent_lix;
unsigned ldiff[2][4], abdiff[2][4], leps, abeps;
static const int dir[4] = { -1, 1, -TS, TS };
const int rowlimit = MIN(top+TS-2, height-4);
const int collimit = MIN(left+TS-2, width-4);
int homogeneity;
char (*homogeneity_map_p)[2];
memset (out_homogeneity_map, 0, 2*TS*TS);
for (row=top+2; row < rowlimit; row++) {
tr = row-top;
homogeneity_map_p = &out_homogeneity_map[tr][1];
for (direction=0; direction < 2; direction++) {
lixs[direction] = &lab[direction][tr][1];
}
for (col=left+2; col < collimit; col++) {
tc = col-left;
homogeneity_map_p++;
for (direction=0; direction < 2; direction++) {
lix = ++lixs[direction];
for (i=0; i < 4; i++) {
adjacent_lix = lix[dir[i]];
ldiff[direction][i] = ABS(lix[0][0]-adjacent_lix[0]);
abdiff[direction][i] = SQR(lix[0][1]-adjacent_lix[1])
+ SQR(lix[0][2]-adjacent_lix[2]);
}
}
leps = MIN(MAX(ldiff[0][0],ldiff[0][1]),
MAX(ldiff[1][2],ldiff[1][3]));
abeps = MIN(MAX(abdiff[0][0],abdiff[0][1]),
MAX(abdiff[1][2],abdiff[1][3]));
for (direction=0; direction < 2; direction++) {
homogeneity = 0;
for (i=0; i < 4; i++) {
if (ldiff[direction][i] <= leps && abdiff[direction][i] <= abeps) {
homogeneity++;
}
}
homogeneity_map_p[0][direction] = homogeneity;
}
}
}
}
void CLASS ahd_interpolate_combine_homogeneous_pixels(int top, int left, ushort (*rgb)[TS][TS][3], char (*homogeneity_map)[TS][2])
{
int row, col;
int tr, tc;
int i, j;
int direction;
int hm[2];
int c;
const int rowlimit = MIN(top+TS-3, height-5);
const int collimit = MIN(left+TS-3, width-5);
ushort (*pix)[4];
ushort (*rix[2])[3];
for (row=top+3; row < rowlimit; row++) {
tr = row-top;
pix = &image[row*width+left+2];
for (direction = 0; direction < 2; direction++) {
rix[direction] = &rgb[direction][tr][2];
}
for (col=left+3; col < collimit; col++) {
tc = col-left;
pix++;
for (direction = 0; direction < 2; direction++) {
rix[direction]++;
}
for (direction=0; direction < 2; direction++) {
hm[direction] = 0;
for (i=tr-1; i <= tr+1; i++) {
for (j=tc-1; j <= tc+1; j++) {
hm[direction] += homogeneity_map[i][j][direction];
}
}
}
if (hm[0] != hm[1]) {
memcpy(pix[0], rix[hm[1] > hm[0]][0], 3 * sizeof(ushort));
} else {
FORC3 {
pix[0][c] = (rix[0][0][c] + rix[1][0][c]) >> 1;
}
}
}
}
}
void CLASS ahd_interpolate()
{
int i, j, k, top, left;
float xyz_cam[3][4],r;
char *buffer;
ushort (*rgb)[TS][TS][3];
short (*lab)[TS][TS][3];
char (*homo)[TS][2];
int terminate_flag = 0;
cielab(0,0);
border_interpolate(5);
#ifdef LIBRAW_LIBRARY_BUILD
#ifdef LIBRAW_USE_OPENMP
#pragma omp parallel private(buffer,rgb,lab,homo,top,left,i,j,k) shared(xyz_cam,terminate_flag)
#endif
#endif
{
buffer = (char *) malloc (26*TS*TS); /* 1664 kB */
merror (buffer, "ahd_interpolate()");
rgb = (ushort(*)[TS][TS][3]) buffer;
lab = (short (*)[TS][TS][3])(buffer + 12*TS*TS);
homo = (char (*)[TS][2]) (buffer + 24*TS*TS);
#ifdef LIBRAW_LIBRARY_BUILD
#ifdef LIBRAW_USE_OPENMP
#pragma omp for schedule(dynamic)
#endif
#endif
for (top=2; top < height-5; top += TS-6){
#ifdef LIBRAW_LIBRARY_BUILD
#ifdef LIBRAW_USE_OPENMP
if(0== omp_get_thread_num())
#endif
if(callbacks.progress_cb) {
int rr = (*callbacks.progress_cb)(callbacks.progresscb_data,LIBRAW_PROGRESS_INTERPOLATE,top-2,height-7);
if(rr)
terminate_flag = 1;
}
#endif
for (left=2; !terminate_flag && (left < width-5); left += TS-6) {
ahd_interpolate_green_h_and_v(top, left, rgb);
ahd_interpolate_r_and_b_and_convert_to_cielab(top, left, rgb, lab);
ahd_interpolate_build_homogeneity_map(top, left, lab, homo);
ahd_interpolate_combine_homogeneous_pixels(top, left, rgb, homo);
}
}
free (buffer);
}
#ifdef LIBRAW_LIBRARY_BUILD
if(terminate_flag)
throw LIBRAW_EXCEPTION_CANCELLED_BY_CALLBACK;
#endif
}
#else
void CLASS ahd_interpolate()
{
int i, j, top, left, row, col, tr, tc, c, d, val, hm[2];
static const int dir[4] = { -1, 1, -TS, TS };
unsigned ldiff[2][4], abdiff[2][4], leps, abeps;
ushort (*rgb)[TS][TS][3], (*rix)[3], (*pix)[4];
short (*lab)[TS][TS][3], (*lix)[3];
char (*homo)[TS][TS], *buffer;
#ifdef DCRAW_VERBOSE
if (verbose) fprintf (stderr,_("AHD interpolation...\n"));
#endif
cielab (0,0);
border_interpolate(5);
buffer = (char *) malloc (26*TS*TS);
merror (buffer, "ahd_interpolate()");
rgb = (ushort(*)[TS][TS][3]) buffer;
lab = (short (*)[TS][TS][3])(buffer + 12*TS*TS);
homo = (char (*)[TS][TS]) (buffer + 24*TS*TS);
for (top=2; top < height-5; top += TS-6)
for (left=2; left < width-5; left += TS-6) {
/* Interpolate green horizontally and vertically: */
for (row=top; row < top+TS && row < height-2; row++) {
col = left + (FC(row,left) & 1);
for (c = FC(row,col); col < left+TS && col < width-2; col+=2) {
pix = image + row*width+col;
val = ((pix[-1][1] + pix[0][c] + pix[1][1]) * 2
- pix[-2][c] - pix[2][c]) >> 2;
rgb[0][row-top][col-left][1] = ULIM(val,pix[-1][1],pix[1][1]);
val = ((pix[-width][1] + pix[0][c] + pix[width][1]) * 2
- pix[-2*width][c] - pix[2*width][c]) >> 2;
rgb[1][row-top][col-left][1] = ULIM(val,pix[-width][1],pix[width][1]);
}
}
/* Interpolate red and blue, and convert to CIELab: */
for (d=0; d < 2; d++)
for (row=top+1; row < top+TS-1 && row < height-3; row++)
for (col=left+1; col < left+TS-1 && col < width-3; col++) {
pix = image + row*width+col;
rix = &rgb[d][row-top][col-left];
lix = &lab[d][row-top][col-left];
if ((c = 2 - FC(row,col)) == 1) {
c = FC(row+1,col);
val = pix[0][1] + (( pix[-1][2-c] + pix[1][2-c]
- rix[-1][1] - rix[1][1] ) >> 1);
rix[0][2-c] = CLIP(val);
val = pix[0][1] + (( pix[-width][c] + pix[width][c]
- rix[-TS][1] - rix[TS][1] ) >> 1);
} else
val = rix[0][1] + (( pix[-width-1][c] + pix[-width+1][c]
+ pix[+width-1][c] + pix[+width+1][c]
- rix[-TS-1][1] - rix[-TS+1][1]
- rix[+TS-1][1] - rix[+TS+1][1] + 1) >> 2);
rix[0][c] = CLIP(val);
c = FC(row,col);
rix[0][c] = pix[0][c];
cielab (rix[0],lix[0]);
}
/* Build homogeneity maps from the CIELab images: */
memset (homo, 0, 2*TS*TS);
for (row=top+2; row < top+TS-2 && row < height-4; row++) {
tr = row-top;
for (col=left+2; col < left+TS-2 && col < width-4; col++) {
tc = col-left;
for (d=0; d < 2; d++) {
lix = &lab[d][tr][tc];
for (i=0; i < 4; i++) {
ldiff[d][i] = ABS(lix[0][0]-lix[dir[i]][0]);
abdiff[d][i] = SQR(lix[0][1]-lix[dir[i]][1])
+ SQR(lix[0][2]-lix[dir[i]][2]);
}
}
leps = MIN(MAX(ldiff[0][0],ldiff[0][1]),
MAX(ldiff[1][2],ldiff[1][3]));
abeps = MIN(MAX(abdiff[0][0],abdiff[0][1]),
MAX(abdiff[1][2],abdiff[1][3]));
for (d=0; d < 2; d++)
for (i=0; i < 4; i++)
if (ldiff[d][i] <= leps && abdiff[d][i] <= abeps)
homo[d][tr][tc]++;
}
}
/* Combine the most homogenous pixels for the final result: */
for (row=top+3; row < top+TS-3 && row < height-5; row++) {
tr = row-top;
for (col=left+3; col < left+TS-3 && col < width-5; col++) {
tc = col-left;
for (d=0; d < 2; d++)
for (hm[d]=0, i=tr-1; i <= tr+1; i++)
for (j=tc-1; j <= tc+1; j++)
hm[d] += homo[d][i][j];
if (hm[0] != hm[1])
FORC3 image[row*width+col][c] = rgb[hm[1] > hm[0]][tr][tc][c];
else
FORC3 image[row*width+col][c] =
(rgb[0][tr][tc][c] + rgb[1][tr][tc][c]) >> 1;
}
}
}
free (buffer);
}
#endif
#undef TS
void CLASS median_filter()
{
ushort (*pix)[4];
int pass, c, i, j, k, med[9];
static const uchar opt[] = /* Optimal 9-element median search */
{ 1,2, 4,5, 7,8, 0,1, 3,4, 6,7, 1,2, 4,5, 7,8,
0,3, 5,8, 4,7, 3,6, 1,4, 2,5, 4,7, 4,2, 6,4, 4,2 };
for (pass=1; pass <= med_passes; pass++) {
#ifdef LIBRAW_LIBRARY_BUILD
RUN_CALLBACK(LIBRAW_PROGRESS_MEDIAN_FILTER,pass-1,med_passes);
#endif
#ifdef DCRAW_VERBOSE
if (verbose)
fprintf (stderr,_("Median filter pass %d...\n"), pass);
#endif
for (c=0; c < 3; c+=2) {
for (pix = image; pix < image+width*height; pix++)
pix[0][3] = pix[0][c];
for (pix = image+width; pix < image+width*(height-1); pix++) {
if ((pix-image+1) % width < 2) continue;
for (k=0, i = -width; i <= width; i += width)
for (j = i-1; j <= i+1; j++)
med[k++] = pix[j][3] - pix[j][1];
for (i=0; i < sizeof opt; i+=2)
if (med[opt[i]] > med[opt[i+1]])
SWAP (med[opt[i]] , med[opt[i+1]]);
pix[0][c] = CLIP(med[4] + pix[0][1]);
}
}
}
}
void CLASS blend_highlights()
{
int clip=INT_MAX, row, col, c, i, j;
static const float trans[2][4][4] =
{ { { 1,1,1 }, { 1.7320508,-1.7320508,0 }, { -1,-1,2 } },
{ { 1,1,1,1 }, { 1,-1,1,-1 }, { 1,1,-1,-1 }, { 1,-1,-1,1 } } };
static const float itrans[2][4][4] =
{ { { 1,0.8660254,-0.5 }, { 1,-0.8660254,-0.5 }, { 1,0,1 } },
{ { 1,1,1,1 }, { 1,-1,1,-1 }, { 1,1,-1,-1 }, { 1,-1,-1,1 } } };
float cam[2][4], lab[2][4], sum[2], chratio;
if ((unsigned) (colors-3) > 1) return;
#ifdef DCRAW_VERBOSE
if (verbose) fprintf (stderr,_("Blending highlights...\n"));
#endif
#ifdef LIBRAW_LIBRARY_BUILD
RUN_CALLBACK(LIBRAW_PROGRESS_HIGHLIGHTS,0,2);
#endif
FORCC if (clip > (i = 65535*pre_mul[c])) clip = i;
for (row=0; row < height; row++)
for (col=0; col < width; col++) {
FORCC if (image[row*width+col][c] > clip) break;
if (c == colors) continue;
FORCC {
cam[0][c] = image[row*width+col][c];
cam[1][c] = MIN(cam[0][c],clip);
}
for (i=0; i < 2; i++) {
FORCC for (lab[i][c]=j=0; j < colors; j++)
lab[i][c] += trans[colors-3][c][j] * cam[i][j];
for (sum[i]=0,c=1; c < colors; c++)
sum[i] += SQR(lab[i][c]);
}
chratio = sqrt(sum[1]/sum[0]);
for (c=1; c < colors; c++)
lab[0][c] *= chratio;
FORCC for (cam[0][c]=j=0; j < colors; j++)
cam[0][c] += itrans[colors-3][c][j] * lab[0][j];
FORCC image[row*width+col][c] = cam[0][c] / colors;
}
#ifdef LIBRAW_LIBRARY_BUILD
RUN_CALLBACK(LIBRAW_PROGRESS_HIGHLIGHTS,1,2);
#endif
}
#define SCALE (4 >> shrink)
void CLASS recover_highlights()
{
float *map, sum, wgt, grow;
int hsat[4], count, spread, change, val, i;
unsigned high, wide, mrow, mcol, row, col, kc, c, d, y, x;
ushort *pixel;
static const signed char dir[8][2] =
{ {-1,-1}, {-1,0}, {-1,1}, {0,1}, {1,1}, {1,0}, {1,-1}, {0,-1} };
#ifdef DCRAW_VERBOSE
if (verbose) fprintf (stderr,_("Rebuilding highlights...\n"));
#endif
grow = pow (2.0, 4-highlight);
FORCC hsat[c] = 32000 * pre_mul[c];
for (kc=0, c=1; c < colors; c++)
if (pre_mul[kc] < pre_mul[c]) kc = c;
high = height / SCALE;
wide = width / SCALE;
map = (float *) calloc (high, wide*sizeof *map);
merror (map, "recover_highlights()");
FORCC if (c != kc) {
#ifdef LIBRAW_LIBRARY_BUILD
RUN_CALLBACK(LIBRAW_PROGRESS_HIGHLIGHTS,c-1,colors-1);
#endif
memset (map, 0, high*wide*sizeof *map);
for (mrow=0; mrow < high; mrow++)
for (mcol=0; mcol < wide; mcol++) {
sum = wgt = count = 0;
for (row = mrow*SCALE; row < (mrow+1)*SCALE; row++)
for (col = mcol*SCALE; col < (mcol+1)*SCALE; col++) {
pixel = image[row*width+col];
if (pixel[c] / hsat[c] == 1 && pixel[kc] > 24000) {
sum += pixel[c];
wgt += pixel[kc];
count++;
}
}
if (count == SCALE*SCALE)
map[mrow*wide+mcol] = sum / wgt;
}
for (spread = 32/grow; spread--; ) {
for (mrow=0; mrow < high; mrow++)
for (mcol=0; mcol < wide; mcol++) {
if (map[mrow*wide+mcol]) continue;
sum = count = 0;
for (d=0; d < 8; d++) {
y = mrow + dir[d][0];
x = mcol + dir[d][1];
if (y < high && x < wide && map[y*wide+x] > 0) {
sum += (1 + (d & 1)) * map[y*wide+x];
count += 1 + (d & 1);
}
}
if (count > 3)
map[mrow*wide+mcol] = - (sum+grow) / (count+grow);
}
for (change=i=0; i < high*wide; i++)
if (map[i] < 0) {
map[i] = -map[i];
change = 1;
}
if (!change) break;
}
for (i=0; i < high*wide; i++)
if (map[i] == 0) map[i] = 1;
for (mrow=0; mrow < high; mrow++)
for (mcol=0; mcol < wide; mcol++) {
for (row = mrow*SCALE; row < (mrow+1)*SCALE; row++)
for (col = mcol*SCALE; col < (mcol+1)*SCALE; col++) {
pixel = image[row*width+col];
if (pixel[c] / hsat[c] > 1) {
val = pixel[kc] * map[mrow*wide+mcol];
if (pixel[c] < val) pixel[c] = CLIP(val);
}
}
}
}
free (map);
}
#undef SCALE
void CLASS tiff_get (unsigned base,
unsigned *tag, unsigned *type, unsigned *len, unsigned *save)
{
*tag = get2();
*type = get2();
*len = get4();
*save = ftell(ifp) + 4;
if (*len * ("11124811248484"[*type < 14 ? *type:0]-'0') > 4)
fseek (ifp, get4()+base, SEEK_SET);
}
void CLASS parse_thumb_note (int base, unsigned toff, unsigned tlen)
{
unsigned entries, tag, type, len, save;
entries = get2();
while (entries--) {
tiff_get (base, &tag, &type, &len, &save);
if (tag == toff) thumb_offset = get4()+base;
if (tag == tlen) thumb_length = get4();
fseek (ifp, save, SEEK_SET);
}
}
//@end COMMON
int CLASS parse_tiff_ifd (int base);
//@out COMMON
static float powf_lim(float a, float b, float limup)
{
return (b>limup || b < -limup)?0.f:powf(a,b);
}
static float powf64(float a, float b)
{
return powf_lim(a,b,64.f);
}
#ifdef LIBRAW_LIBRARY_BUILD
static float my_roundf(float x) {
float t;
if (x >= 0.0) {
t = ceilf(x);
if (t - x > 0.5) t -= 1.0;
return t;
} else {
t = ceilf(-x);
if (t + x > 0.5) t -= 1.0;
return -t;
}
}
static float _CanonConvert2EV(short in)
{
float frac1;
short val = in, sign = 1, frac;
if (val < 0) { val = -val; sign = -1; }
frac = (val & 0x1f);
val -= frac;
if (frac == 0x0c) frac1 = 32.0f / 3.0f;
else if (frac == 0x14) frac1 = 64.0f / 3.0f;
else frac1 = (float)frac;
return (float)sign * ((float)val + frac1) / 32.0f;
}
static float _CanonConvertAperture(short in)
{
if (in == (short)0xffe0) return 0.0f;
else return powf64(2.0f, _CanonConvert2EV(in) / 2.0f);
}
void CLASS setCanonBodyFeatures (unsigned id)
{
imgdata.lens.makernotes.CamID = id;
if (
(id == 0x80000001) || // 1D
(id == 0x80000174) || // 1D2
(id == 0x80000232) || // 1D2N
(id == 0x80000169) || // 1D3
(id == 0x80000281) // 1D4
)
{
imgdata.lens.makernotes.CameraFormat = LIBRAW_FORMAT_APSH;
imgdata.lens.makernotes.CameraMount = LIBRAW_MOUNT_Canon_EF;
}
else
if (
(id == 0x80000167) || // 1Ds
(id == 0x80000188) || // 1Ds2
(id == 0x80000215) || // 1Ds3
(id == 0x80000213) || // 5D
(id == 0x80000218) || // 5D2
(id == 0x80000285) || // 5D3
(id == 0x80000302) || // 6D
(id == 0x80000269) || // 1DX
(id == 0x80000324) || // 1DC
(id == 0x80000382) || // 5DS
(id == 0x80000401) // 5DS R
)
{
imgdata.lens.makernotes.CameraFormat = LIBRAW_FORMAT_FF;
imgdata.lens.makernotes.CameraMount = LIBRAW_MOUNT_Canon_EF;
}
else
if (
(id == 0x80000331) || // M
(id == 0x80000355) // M2
)
{
imgdata.lens.makernotes.CameraFormat = LIBRAW_FORMAT_APSC;
imgdata.lens.makernotes.CameraMount = LIBRAW_MOUNT_Canon_EF_M;
}
else
if (
(id == 0x01140000) || // D30
(id == 0x01668000) || // D60
(id > 0x80000000)
)
{
imgdata.lens.makernotes.CameraFormat = LIBRAW_FORMAT_APSC;
imgdata.lens.makernotes.CameraMount = LIBRAW_MOUNT_Canon_EF;
imgdata.lens.makernotes.LensMount = LIBRAW_MOUNT_Unknown;
}
else
{
imgdata.lens.makernotes.CameraMount = LIBRAW_MOUNT_FixedLens;
imgdata.lens.makernotes.LensMount = LIBRAW_MOUNT_FixedLens;
}
return;
}
void CLASS processCanonCameraInfo (unsigned id, uchar *CameraInfo)
{
ushort iCanonLensID = 0, iCanonMaxFocal = 0, iCanonMinFocal = 0, iCanonLens = 0, iCanonCurFocal = 0, iCanonFocalType = 0;
CameraInfo[0] = 0;
CameraInfo[1] = 0;
switch (id) {
case 0x80000001: // 1D
case 0x80000167: // 1DS
iCanonCurFocal = 10;
iCanonLensID = 13;
iCanonMinFocal = 14;
iCanonMaxFocal = 16;
if (!imgdata.lens.makernotes.CurFocal)
imgdata.lens.makernotes.CurFocal = sget2(CameraInfo + iCanonCurFocal);
if (!imgdata.lens.makernotes.MinFocal)
imgdata.lens.makernotes.MinFocal = sget2(CameraInfo + iCanonMinFocal);
if (!imgdata.lens.makernotes.MaxFocal)
imgdata.lens.makernotes.MaxFocal = sget2(CameraInfo + iCanonMaxFocal);
break;
case 0x80000174: // 1DMkII
case 0x80000188: // 1DsMkII
iCanonCurFocal = 9;
iCanonLensID = 12;
iCanonMinFocal = 17;
iCanonMaxFocal = 19;
iCanonFocalType = 45;
break;
case 0x80000232: // 1DMkII N
iCanonCurFocal = 9;
iCanonLensID = 12;
iCanonMinFocal = 17;
iCanonMaxFocal = 19;
break;
case 0x80000169: // 1DMkIII
case 0x80000215: // 1DsMkIII
iCanonCurFocal = 29;
iCanonLensID = 273;
iCanonMinFocal = 275;
iCanonMaxFocal = 277;
break;
case 0x80000281: // 1DMkIV
iCanonCurFocal = 30;
iCanonLensID = 335;
iCanonMinFocal = 337;
iCanonMaxFocal = 339;
break;
case 0x80000269: // 1D X
iCanonCurFocal = 35;
iCanonLensID = 423;
iCanonMinFocal = 425;
iCanonMaxFocal = 427;
break;
case 0x80000213: // 5D
iCanonCurFocal = 40;
if (!sget2Rev(CameraInfo + 12)) iCanonLensID = 151;
else iCanonLensID = 12;
iCanonMinFocal = 147;
iCanonMaxFocal = 149;
break;
case 0x80000218: // 5DMkII
iCanonCurFocal = 30;
iCanonLensID = 230;
iCanonMinFocal = 232;
iCanonMaxFocal = 234;
break;
case 0x80000285: // 5DMkIII
iCanonCurFocal = 35;
iCanonLensID = 339;
iCanonMinFocal = 341;
iCanonMaxFocal = 343;
break;
case 0x80000302: // 6D
iCanonCurFocal = 35;
iCanonLensID = 353;
iCanonMinFocal = 355;
iCanonMaxFocal = 357;
break;
case 0x80000250: // 7D
iCanonCurFocal = 30;
iCanonLensID = 274;
iCanonMinFocal = 276;
iCanonMaxFocal = 278;
break;
case 0x80000190: // 40D
iCanonCurFocal = 29;
iCanonLensID = 214;
iCanonMinFocal = 216;
iCanonMaxFocal = 218;
iCanonLens = 2347;
break;
case 0x80000261: // 50D
iCanonCurFocal = 30;
iCanonLensID = 234;
iCanonMinFocal = 236;
iCanonMaxFocal = 238;
break;
case 0x80000287: // 60D
iCanonCurFocal = 30;
iCanonLensID = 232;
iCanonMinFocal = 234;
iCanonMaxFocal = 236;
break;
case 0x80000325: // 70D
iCanonCurFocal = 35;
iCanonLensID = 358;
iCanonMinFocal = 360;
iCanonMaxFocal = 362;
break;
case 0x80000176: // 450D
iCanonCurFocal = 29;
iCanonLensID = 222;
iCanonLens = 2355;
break;
case 0x80000252: // 500D
iCanonCurFocal = 30;
iCanonLensID = 246;
iCanonMinFocal = 248;
iCanonMaxFocal = 250;
break;
case 0x80000270: // 550D
iCanonCurFocal = 30;
iCanonLensID = 255;
iCanonMinFocal = 257;
iCanonMaxFocal = 259;
break;
case 0x80000286: // 600D
case 0x80000288: // 1100D
iCanonCurFocal = 30;
iCanonLensID = 234;
iCanonMinFocal = 236;
iCanonMaxFocal = 238;
break;
case 0x80000301: // 650D
case 0x80000326: // 700D
iCanonCurFocal = 35;
iCanonLensID = 295;
iCanonMinFocal = 297;
iCanonMaxFocal = 299;
break;
case 0x80000254: // 1000D
iCanonCurFocal = 29;
iCanonLensID = 226;
iCanonMinFocal = 228;
iCanonMaxFocal = 230;
iCanonLens = 2359;
break;
}
if (iCanonFocalType)
{
imgdata.lens.makernotes.FocalType = CameraInfo[iCanonFocalType];
if (!imgdata.lens.makernotes.FocalType) // zero means 'fixed' here, replacing with standard '1'
imgdata.lens.makernotes.FocalType = 1;
}
if (!imgdata.lens.makernotes.CurFocal)
imgdata.lens.makernotes.CurFocal = sget2Rev(CameraInfo + iCanonCurFocal);
if (!imgdata.lens.makernotes.LensID)
imgdata.lens.makernotes.LensID = sget2Rev(CameraInfo + iCanonLensID);
if (!imgdata.lens.makernotes.MinFocal)
imgdata.lens.makernotes.MinFocal = sget2Rev(CameraInfo + iCanonMinFocal);
if (!imgdata.lens.makernotes.MaxFocal)
imgdata.lens.makernotes.MaxFocal = sget2Rev(CameraInfo + iCanonMaxFocal);
if (!imgdata.lens.makernotes.Lens[0] && iCanonLens) {
if (CameraInfo[iCanonLens] < 65) // non-Canon lens
memcpy(imgdata.lens.makernotes.Lens, CameraInfo + iCanonLens, 64);
else if (!strncmp((char *)CameraInfo + iCanonLens, "EF-S", 4)) {
memcpy(imgdata.lens.makernotes.Lens, "EF-S ", 5);
memcpy(imgdata.lens.makernotes.LensFeatures_pre, "EF-E", 4);
imgdata.lens.makernotes.LensMount = LIBRAW_MOUNT_Canon_EF_S;
memcpy(imgdata.lens.makernotes.Lens + 5, CameraInfo + iCanonLens + 4, 60);
}
else if (!strncmp((char *)CameraInfo + iCanonLens, "TS-E", 4)) {
memcpy(imgdata.lens.makernotes.Lens, "TS-E ", 5);
memcpy(imgdata.lens.makernotes.LensFeatures_pre, "TS-E", 4);
imgdata.lens.makernotes.LensMount = LIBRAW_MOUNT_Canon_EF;
memcpy(imgdata.lens.makernotes.Lens + 5, CameraInfo + iCanonLens + 4, 60);
}
else if (!strncmp((char *)CameraInfo + iCanonLens, "MP-E", 4)) {
memcpy(imgdata.lens.makernotes.Lens, "MP-E ", 5);
memcpy(imgdata.lens.makernotes.LensFeatures_pre, "MP-E", 4);
imgdata.lens.makernotes.LensMount = LIBRAW_MOUNT_Canon_EF;
memcpy(imgdata.lens.makernotes.Lens + 5, CameraInfo + iCanonLens + 4, 60);
}
else if (!strncmp((char *)CameraInfo + iCanonLens, "EF-M", 4)) {
memcpy(imgdata.lens.makernotes.Lens, "EF-M ", 5);
memcpy(imgdata.lens.makernotes.LensFeatures_pre, "EF-M", 4);
imgdata.lens.makernotes.LensMount = LIBRAW_MOUNT_Canon_EF_M;
memcpy(imgdata.lens.makernotes.Lens + 5, CameraInfo + iCanonLens + 4, 60);
}
else {
memcpy(imgdata.lens.makernotes.Lens, CameraInfo + iCanonLens, 2);
memcpy(imgdata.lens.makernotes.LensFeatures_pre, "EF", 2);
imgdata.lens.makernotes.LensMount = LIBRAW_MOUNT_Canon_EF;
imgdata.lens.makernotes.Lens[2] = 32;
memcpy(imgdata.lens.makernotes.Lens + 3, CameraInfo + iCanonLens + 2, 62);
}
}
free(CameraInfo);
return;
}
void CLASS processNikonLensData (uchar *LensData, unsigned len)
{
ushort i;
if (len < 20) {
switch (len) {
case 9:
i = 2;
break;
case 15:
i = 7;
break;
case 16:
i = 8;
break;
}
imgdata.lens.nikon.NikonLensIDNumber = LensData[i];
imgdata.lens.nikon.NikonLensFStops = LensData[i + 1];
imgdata.lens.makernotes.LensFStops = (float)imgdata.lens.nikon.NikonLensFStops /12.0f;
imgdata.lens.makernotes.MinFocal = 5.0f * powf64(2.0f, (float)LensData[i + 2] / 24.0f);
imgdata.lens.makernotes.MaxFocal = 5.0f * powf64(2.0f, (float)LensData[i + 3] / 24.0f);
imgdata.lens.makernotes.MaxAp4MinFocal = powf64(2.0f, (float)LensData[i + 4] / 24.0f);
imgdata.lens.makernotes.MaxAp4MaxFocal = powf64(2.0f, (float)LensData[i + 5] / 24.0f);
imgdata.lens.nikon.NikonMCUVersion = LensData[i + 6];
if (i != 2)
{
imgdata.lens.makernotes.CurFocal = 5.0f * powf64(2.0f, (float)LensData[i - 1] / 24.0f);
imgdata.lens.nikon.NikonEffectiveMaxAp = powf64(2.0f, (float)LensData[i + 7] / 24.0f);
}
imgdata.lens.makernotes.LensID =
(unsigned long long) LensData[i] << 56 |
(unsigned long long) LensData[i + 1] << 48 |
(unsigned long long) LensData[i + 2] << 40 |
(unsigned long long) LensData[i + 3] << 32 |
(unsigned long long) LensData[i + 4] << 24 |
(unsigned long long) LensData[i + 5] << 16 |
(unsigned long long) LensData[i + 6] << 8 |
(unsigned long long) imgdata.lens.nikon.NikonLensType;
}
else if ((len == 459) || (len == 590))
{
memcpy(imgdata.lens.makernotes.Lens, LensData + 390, 64);
}
else if (len == 509)
{
memcpy(imgdata.lens.makernotes.Lens, LensData + 391, 64);
}
else if (len == 879)
{
memcpy(imgdata.lens.makernotes.Lens, LensData + 680, 64);
}
free (LensData);
return;
}
void CLASS setOlympusBodyFeatures (unsigned long id)
{
imgdata.lens.makernotes.CamID = id;
if ((id == 0x4434303430) ||
(id == 0x4434303431) ||
((id >= 0x5330303030) && (id <= 0x5330303939)))
{
imgdata.lens.makernotes.CameraFormat = LIBRAW_FORMAT_FT;
imgdata.lens.makernotes.CameraMount = LIBRAW_MOUNT_FT;
}
else
{
imgdata.lens.makernotes.LensMount = LIBRAW_MOUNT_FixedLens;
imgdata.lens.makernotes.CameraMount = LIBRAW_MOUNT_FixedLens;
}
if ((id == 0x4434303430) ||
(id == 0x4434303431) ||
((id >= 0x5330303033) && (id <= 0x5330303138)) ||
(id == 0x5330303233) ||
(id == 0x5330303239) ||
(id == 0x5330303330) ||
(id == 0x5330303333))
{
imgdata.lens.makernotes.CameraMount = LIBRAW_MOUNT_FT;
}
else if (imgdata.lens.makernotes.CameraMount != LIBRAW_MOUNT_FixedLens)
{
imgdata.lens.makernotes.CameraMount = LIBRAW_MOUNT_mFT;
}
return;
}
void CLASS setPentaxBodyFeatures (unsigned id)
{
imgdata.lens.makernotes.CamID = id;
switch (id) {
case 0x12994:
case 0x12aa2:
case 0x12b1a:
case 0x12b60:
case 0x12b7e:
case 0x12b80:
case 0x12b9c:
case 0x12b9d:
case 0x12ba2:
case 0x12c1e:
case 0x12c20:
case 0x12cd2:
case 0x12cd4:
case 0x12cfa:
case 0x12d72:
case 0x12d73:
case 0x12db8:
case 0x12dfe:
case 0x12e6c:
case 0x12e76:
case 0x12ef8:
case 0x12f52:
case 0x12f70:
case 0x12f71:
case 0x12fb6:
case 0x12fc0:
case 0x12fca:
case 0x1301a:
imgdata.lens.makernotes.LensMount = LIBRAW_MOUNT_Pentax_K;
imgdata.lens.makernotes.CameraMount = LIBRAW_MOUNT_Pentax_K;
imgdata.lens.makernotes.CameraFormat = LIBRAW_FORMAT_APSC;
break;
case 0x12e08:
case 0x13010:
imgdata.lens.makernotes.LensMount = LIBRAW_MOUNT_Pentax_645;
imgdata.lens.makernotes.LensFormat = LIBRAW_FORMAT_MF;
imgdata.lens.makernotes.CameraMount = LIBRAW_MOUNT_Pentax_645;
imgdata.lens.makernotes.CameraFormat = LIBRAW_FORMAT_MF;
break;
case 0x12ee4:
case 0x12f66:
case 0x12f7a:
case 0x1302e:
imgdata.lens.makernotes.LensMount = LIBRAW_MOUNT_Pentax_Q;
imgdata.lens.makernotes.CameraMount = LIBRAW_MOUNT_Pentax_Q;
break;
default:
imgdata.lens.makernotes.LensMount = LIBRAW_MOUNT_FixedLens;
imgdata.lens.makernotes.CameraMount = LIBRAW_MOUNT_FixedLens;
}
return;
}
void CLASS setPhaseOneFeatures (unsigned id) {
ushort i;
static const struct {
ushort id;
char t_model[32];
} p1_unique[] = {
// Phase One section:
{1, "Hasselblad V"},
{10, "PhaseOne/Mamiya"},
{12, "Contax 645"},
{16, "Hasselblad V"},
{17, "Hasselblad V"},
{18, "Contax 645"},
{19, "PhaseOne/Mamiya"},
{20, "Hasselblad V"},
{21, "Contax 645"},
{22, "PhaseOne/Mamiya"},
{23, "Hasselblad V"},
{24, "Hasselblad H"},
{25, "PhaseOne/Mamiya"},
{32, "Contax 645"},
{34, "Hasselblad V"},
{35, "Hasselblad V"},
{36, "Hasselblad H"},
{37, "Contax 645"},
{38, "PhaseOne/Mamiya"},
{39, "Hasselblad V"},
{40, "Hasselblad H"},
{41, "Contax 645"},
{42, "PhaseOne/Mamiya"},
{44, "Hasselblad V"},
{45, "Hasselblad H"},
{46, "Contax 645"},
{47, "PhaseOne/Mamiya"},
{48, "Hasselblad V"},
{49, "Hasselblad H"},
{50, "Contax 645"},
{51, "PhaseOne/Mamiya"},
{52, "Hasselblad V"},
{53, "Hasselblad H"},
{54, "Contax 645"},
{55, "PhaseOne/Mamiya"},
{67, "Hasselblad V"},
{68, "Hasselblad H"},
{69, "Contax 645"},
{70, "PhaseOne/Mamiya"},
{71, "Hasselblad V"},
{72, "Hasselblad H"},
{73, "Contax 645"},
{74, "PhaseOne/Mamiya"},
{76, "Hasselblad V"},
{77, "Hasselblad H"},
{78, "Contax 645"},
{79, "PhaseOne/Mamiya"},
{80, "Hasselblad V"},
{81, "Hasselblad H"},
{82, "Contax 645"},
{83, "PhaseOne/Mamiya"},
{84, "Hasselblad V"},
{85, "Hasselblad H"},
{86, "Contax 645"},
{87, "PhaseOne/Mamiya"},
{99, "Hasselblad V"},
{100, "Hasselblad H"},
{101, "Contax 645"},
{102, "PhaseOne/Mamiya"},
{103, "Hasselblad V"},
{104, "Hasselblad H"},
{105, "PhaseOne/Mamiya"},
{106, "Contax 645"},
{112, "Hasselblad V"},
{113, "Hasselblad H"},
{114, "Contax 645"},
{115, "PhaseOne/Mamiya"},
{131, "Hasselblad V"},
{132, "Hasselblad H"},
{133, "Contax 645"},
{134, "PhaseOne/Mamiya"},
{135, "Hasselblad V"},
{136, "Hasselblad H"},
{137, "Contax 645"},
{138, "PhaseOne/Mamiya"},
{140, "Hasselblad V"},
{141, "Hasselblad H"},
{142, "Contax 645"},
{143, "PhaseOne/Mamiya"},
{148, "Hasselblad V"},
{149, "Hasselblad H"},
{150, "Contax 645"},
{151, "PhaseOne/Mamiya"},
{160, "A-250"},
{161, "A-260"},
{162, "A-280"},
{167, "Hasselblad V"},
{168, "Hasselblad H"},
{169, "Contax 645"},
{170, "PhaseOne/Mamiya"},
{172, "Hasselblad V"},
{173, "Hasselblad H"},
{174, "Contax 645"},
{175, "PhaseOne/Mamiya"},
{176, "Hasselblad V"},
{177, "Hasselblad H"},
{178, "Contax 645"},
{179, "PhaseOne/Mamiya"},
{180, "Hasselblad V"},
{181, "Hasselblad H"},
{182, "Contax 645"},
{183, "PhaseOne/Mamiya"},
{208, "Hasselblad V"},
{211, "PhaseOne/Mamiya"},
{448, "Phase One 645AF"},
{457, "Phase One 645DF"},
{471, "Phase One 645DF+"},
{704, "Phase One iXA"},
{705, "Phase One iXA - R"},
{706, "Phase One iXU 150"},
{707, "Phase One iXU 150 - NIR"},
{708, "Phase One iXU 180"},
{721, "Phase One iXR"},
// Leaf section:
{333,"Mamiya"},
{329,"Universal"},
{330,"Hasselblad H1/H2"},
{332,"Contax"},
{336,"AFi"},
{327,"Mamiya"},
{324,"Universal"},
{325,"Hasselblad H1/H2"},
{326,"Contax"},
{335,"AFi"},
{340,"Mamiya"},
{337,"Universal"},
{338,"Hasselblad H1/H2"},
{339,"Contax"},
{323,"Mamiya"},
{320,"Universal"},
{322,"Hasselblad H1/H2"},
{321,"Contax"},
{334,"AFi"},
{369,"Universal"},
{370,"Mamiya"},
{371,"Hasselblad H1/H2"},
{372,"Contax"},
{373,"Afi"},
};
imgdata.lens.makernotes.CamID = id;
if (id && !imgdata.lens.makernotes.body[0]) {
for (i=0; i < sizeof p1_unique / sizeof *p1_unique; i++)
if (id == p1_unique[i].id) {
strcpy(imgdata.lens.makernotes.body,p1_unique[i].t_model);
}
}
return;
}
void CLASS setSonyBodyFeatures (unsigned id) {
imgdata.lens.makernotes.CamID = id;
if ( // FF cameras
(id == 257) || // a900
(id == 269) || // a850
(id == 340) || // ILCE-7M2
(id == 318) || // ILCE-7S
(id == 311) || // ILCE-7R
(id == 306) || // ILCE-7
(id == 298) || // DSC-RX1
(id == 299) || // NEX-VG900
(id == 310) || // DSC-RX1R
(id == 294) // SLT-99, Hasselblad HV
)
{
imgdata.lens.makernotes.CameraFormat = LIBRAW_FORMAT_FF;
}
else
{
if ((id != 002) && // DSC-R1
(id != 297) && // DSC-RX100
(id != 308) && // DSC-RX100M2
(id != 309) && // DSC-RX10
(id != 317)) // DSC-RX100M3
imgdata.lens.makernotes.CameraFormat = LIBRAW_FORMAT_APSC;
}
if ( // E-mount cameras
// ILCE:
(id == 302) ||
(id == 306) ||
(id == 311) ||
(id == 312) ||
(id == 313) ||
(id == 318) ||
(id == 339) ||
(id == 340) ||
(id == 346) ||
// NEX:
(id == 278) ||
(id == 279) ||
(id == 284) ||
(id == 288) ||
(id == 289) ||
(id == 290) ||
(id == 293) ||
(id == 295) ||
(id == 296) ||
(id == 299) ||
(id == 300) ||
(id == 305) ||
(id == 307)
)
{
imgdata.lens.makernotes.CameraMount = LIBRAW_MOUNT_Sony_E;
}
else if ( // A-mount cameras
// DSLR:
(id == 256) ||
(id == 257) ||
(id == 258) ||
(id == 259) ||
(id == 260) ||
(id == 261) ||
(id == 262) ||
(id == 263) ||
(id == 264) ||
(id == 265) ||
(id == 266) ||
(id == 269) ||
(id == 270) ||
(id == 273) ||
(id == 274) ||
(id == 275) ||
(id == 282) ||
(id == 283) ||
// SLT:
(id == 280) ||
(id == 281) ||
(id == 285) ||
(id == 286) ||
(id == 287) ||
(id == 291) ||
(id == 292) ||
(id == 294) ||
(id == 303) ||
// ILCA:
(id == 319)
)
{
imgdata.lens.makernotes.CameraMount = LIBRAW_MOUNT_Minolta_A;
}
else if ( // DSC
(id == 002) || // DSC-R1
(id == 297) || // DSC-RX100
(id == 298) || // DSC-RX1
(id == 308) || // DSC-RX100M2
(id == 309) || // DSC-RX10
(id == 310) || // DSC-RX1R
(id == 317) // DSC-RX100M3
)
{
imgdata.lens.makernotes.CameraMount = LIBRAW_MOUNT_FixedLens;
imgdata.lens.makernotes.LensMount = LIBRAW_MOUNT_FixedLens;
}
return;
}
void CLASS parseSonyLensType2 (uchar a, uchar b) {
ushort lid2;
lid2 = (((ushort)a)<<8) | ((ushort)b);
if (!lid2) return;
if (lid2 < 0x100)
{
imgdata.lens.makernotes.AdapterID = lid2;
switch (lid2) {
case 1:
case 2:
case 3:
case 6:
imgdata.lens.makernotes.LensMount = LIBRAW_MOUNT_Minolta_A;
break;
case 44:
case 78:
case 239:
imgdata.lens.makernotes.LensMount = LIBRAW_MOUNT_Canon_EF;
break;
}
}
else
imgdata.lens.makernotes.LensID = lid2;
return;
}
void CLASS parseSonyLensFeatures (uchar a, uchar b) {
ushort features;
features = (((ushort)a)<<8) | ((ushort)b);
if ((imgdata.lens.makernotes.LensMount == LIBRAW_MOUNT_Canon_EF) || !features)
return;
imgdata.lens.makernotes.LensFormat = LIBRAW_FORMAT_FF;
imgdata.lens.makernotes.LensMount = LIBRAW_MOUNT_Minolta_A;
imgdata.lens.makernotes.LensFeatures_pre[0] = 0;
imgdata.lens.makernotes.LensFeatures_suf[0] = 0;
if ((features & 0x0200) && (features & 0x0100)) {
strcpy(imgdata.lens.makernotes.LensFeatures_pre, "E");
imgdata.lens.makernotes.LensFormat = LIBRAW_FORMAT_APSC;
imgdata.lens.makernotes.LensMount = LIBRAW_MOUNT_Sony_E;
} else if (features & 0x0200) {
strcpy(imgdata.lens.makernotes.LensFeatures_pre, "FE");
imgdata.lens.makernotes.LensMount = LIBRAW_MOUNT_Sony_E;
} else if (features & 0x0100) {
strcpy(imgdata.lens.makernotes.LensFeatures_pre, "DT");
imgdata.lens.makernotes.LensFormat = LIBRAW_FORMAT_APSC;
}
if (features & 0x4000)
strncat(imgdata.lens.makernotes.LensFeatures_pre, " PZ", sizeof(imgdata.lens.makernotes.LensFeatures_pre));
if (features & 0x0008)
strncat(imgdata.lens.makernotes.LensFeatures_suf, " G", sizeof(imgdata.lens.makernotes.LensFeatures_suf));
else if (features & 0x0004)
strncat(imgdata.lens.makernotes.LensFeatures_suf, " ZA", sizeof(imgdata.lens.makernotes.LensFeatures_suf));
if ((features & 0x0020) && (features & 0x0040))
strncat(imgdata.lens.makernotes.LensFeatures_suf, " Macro", sizeof(imgdata.lens.makernotes.LensFeatures_suf));
else if (features & 0x0020)
strncat(imgdata.lens.makernotes.LensFeatures_suf, " STF", sizeof(imgdata.lens.makernotes.LensFeatures_suf));
else if (features & 0x0040)
strncat(imgdata.lens.makernotes.LensFeatures_suf, " Reflex", sizeof(imgdata.lens.makernotes.LensFeatures_suf));
else if (features & 0x0080)
strncat(imgdata.lens.makernotes.LensFeatures_suf, " Fisheye", sizeof(imgdata.lens.makernotes.LensFeatures_suf));
if (features & 0x0001)
strncat(imgdata.lens.makernotes.LensFeatures_suf, " SSM", sizeof(imgdata.lens.makernotes.LensFeatures_suf));
else if (features & 0x0002)
strncat(imgdata.lens.makernotes.LensFeatures_suf, " SAM", sizeof(imgdata.lens.makernotes.LensFeatures_suf));
if (features & 0x8000)
strncat(imgdata.lens.makernotes.LensFeatures_suf, " OSS", sizeof(imgdata.lens.makernotes.LensFeatures_suf));
if (features & 0x2000)
strncat(imgdata.lens.makernotes.LensFeatures_suf, " LE", sizeof(imgdata.lens.makernotes.LensFeatures_suf));
if (features & 0x0800)
strncat(imgdata.lens.makernotes.LensFeatures_suf, " II", sizeof(imgdata.lens.makernotes.LensFeatures_suf));
if (imgdata.lens.makernotes.LensFeatures_suf[0] == ' ')
memmove(imgdata.lens.makernotes.LensFeatures_suf, imgdata.lens.makernotes.LensFeatures_suf+1, strlen(imgdata.lens.makernotes.LensFeatures_suf));
return;
}
void CLASS process_Sony_0x940c (uchar * buf)
{
ushort lid2;
if (imgdata.lens.makernotes.LensMount != LIBRAW_MOUNT_Canon_EF)
{
switch (SonySubstitution[buf[0x0008]]) {
case 1:
case 5:
imgdata.lens.makernotes.LensMount = LIBRAW_MOUNT_Minolta_A;
break;
case 4:
imgdata.lens.makernotes.LensMount = LIBRAW_MOUNT_Sony_E;
break;
}
}
lid2 = (((ushort)SonySubstitution[buf[0x000a]])<<8) |
((ushort)SonySubstitution[buf[0x0009]]);
if ((lid2 > 0) && (lid2 < 32784))
parseSonyLensType2 (SonySubstitution[buf[0x000a]], // LensType2 - Sony lens ids
SonySubstitution[buf[0x0009]]);
return;
}
void CLASS process_Sony_0x9050 (uchar * buf, unsigned id)
{
ushort lid;
if ((imgdata.lens.makernotes.CameraMount != LIBRAW_MOUNT_Sony_E) &&
(imgdata.lens.makernotes.CameraMount != LIBRAW_MOUNT_FixedLens))
{
if (buf[0])
imgdata.lens.makernotes.MaxAp =
my_roundf(powf64(2.0f, ((float)SonySubstitution[buf[0]] / 8.0 - 1.06f) / 2.0f)*10.0f) / 10.0f;
if (buf[1])
imgdata.lens.makernotes.MinAp =
my_roundf(powf64(2.0f, ((float)SonySubstitution[buf[1]] / 8.0 - 1.06f) / 2.0f)*10.0f) / 10.0f;
}
if (imgdata.lens.makernotes.CameraMount != LIBRAW_MOUNT_FixedLens)
{
if (buf[0x3d] | buf[0x3c])
{
lid = SonySubstitution[buf[0x3d]] << 8 |
SonySubstitution[buf[0x3c]];
imgdata.lens.makernotes.CurAp =
powf64(2.0f, ((float)lid/256.0f - 16.0f) / 2.0f);
}
if (buf[0x105] && (imgdata.lens.makernotes.LensMount != LIBRAW_MOUNT_Canon_EF))
imgdata.lens.makernotes.LensMount =
SonySubstitution[buf[0x105]];
if (buf[0x106])
imgdata.lens.makernotes.LensFormat =
SonySubstitution[buf[0x106]];
}
if (imgdata.lens.makernotes.CameraMount == LIBRAW_MOUNT_Sony_E)
{
parseSonyLensType2 (SonySubstitution[buf[0x0108]], // LensType2 - Sony lens ids
SonySubstitution[buf[0x0107]]);
}
if ((imgdata.lens.makernotes.LensID == -1) &&
(imgdata.lens.makernotes.CameraMount == LIBRAW_MOUNT_Minolta_A) &&
(buf[0x010a] | buf[0x0109]))
{
imgdata.lens.makernotes.LensID = // LensType - Minolta/Sony lens ids
SonySubstitution[buf[0x010a]] << 8 |
SonySubstitution[buf[0x0109]];
if ((imgdata.lens.makernotes.LensID > 61184) &&
(imgdata.lens.makernotes.LensID < 65535))
{
imgdata.lens.makernotes.LensID -= 61184;
imgdata.lens.makernotes.LensMount = LIBRAW_MOUNT_Canon_EF;
}
}
if ((id >= 286) && (id <= 293))
// "SLT-A65", "SLT-A77", "NEX-7", "NEX-VG20E",
// "SLT-A37", "SLT-A57", "NEX-F3", "Lunar"
parseSonyLensFeatures (SonySubstitution[buf[0x115]],
SonySubstitution[buf[0x116]]);
else if (imgdata.lens.makernotes.CameraMount != LIBRAW_MOUNT_FixedLens)
parseSonyLensFeatures (SonySubstitution[buf[0x116]],
SonySubstitution[buf[0x117]]);
return;
}
void CLASS parse_makernote_0xc634(int base, int uptag, unsigned dng_writer)
{
unsigned offset = 0, entries, tag, type, len, save, c;
unsigned i;
uchar NikonKey, ci, cj, ck;
unsigned serial = 0;
unsigned NikonLensDataVersion = 0;
unsigned lenNikonLensData = 0;
uchar *CanonCameraInfo;
unsigned lenCanonCameraInfo = 0;
uchar *table_buf;
uchar *table_buf_0x9050;
ushort table_buf_0x9050_present = 0;
uchar *table_buf_0x940c;
ushort table_buf_0x940c_present = 0;
short morder, sorder = order;
char buf[10];
fread(buf, 1, 10, ifp);
if (!strcmp(buf, "Nikon")) {
base = ftell(ifp);
order = get2();
if (get2() != 42) goto quit;
offset = get4();
fseek(ifp, offset - 8, SEEK_CUR);
}
else if (!strcmp(buf, "OLYMPUS") ||
!strcmp(buf, "PENTAX ") ||
(!strncmp(make, "SAMSUNG", 7) && (dng_writer == CameraDNG))) {
base = ftell(ifp) - 10;
fseek(ifp, -2, SEEK_CUR);
order = get2();
if (buf[0] == 'O') get2();
}
else if (!strncmp(buf, "SONY", 4) ||
!strcmp(buf, "Panasonic")) {
goto nf;
}
else if (!strncmp(buf, "FUJIFILM", 8)) {
base = ftell(ifp) - 10;
nf: order = 0x4949;
fseek(ifp, 2, SEEK_CUR);
}
else if (!strcmp(buf, "OLYMP") ||
!strcmp(buf, "LEICA") ||
!strcmp(buf, "Ricoh") ||
!strcmp(buf, "EPSON"))
fseek(ifp, -2, SEEK_CUR);
else if (!strcmp(buf, "AOC") ||
!strcmp(buf, "QVC"))
fseek(ifp, -4, SEEK_CUR);
else {
fseek(ifp, -10, SEEK_CUR);
if ((!strncmp(make, "SAMSUNG", 7) &&
(dng_writer == AdobeDNG)))
base = ftell(ifp);
}
entries = get2();
// if (dng_writer == AdobeDNG)
// printf("\n*** parse_makernote_0xc634: AdobeDNG");
// else if (dng_writer == CameraDNG)
// printf("\n*** parse_makernote_0xc634: CameraDNG");
// printf ("\n\tbuf =%s=\n\tmake =%s=\n\tmodel =%s=\n\tbase: 0x%x\n\tentries: %d\n",
// buf, make, model, base, entries);
if (entries > 1000) return;
morder = order;
while (entries--) {
order = morder;
tiff_get(base, &tag, &type, &len, &save);
tag |= uptag << 16;
// printf ("\n\tbase: 0x%x tag: 0x%04x type: 0x%x len: 0x%x pos: 0x%llx",
// base, tag, type, len, ftell(ifp));
if (!strcmp(make, "Canon"))
{
if (tag == 0x0001) // camera settings
{
fseek(ifp, 44, SEEK_CUR);
imgdata.lens.makernotes.LensID = get2();
imgdata.lens.makernotes.MaxFocal = get2();
imgdata.lens.makernotes.MinFocal = get2();
imgdata.lens.makernotes.CanonFocalUnits = get2();
if (imgdata.lens.makernotes.CanonFocalUnits != 1)
{
imgdata.lens.makernotes.MaxFocal /= (float)imgdata.lens.makernotes.CanonFocalUnits;
imgdata.lens.makernotes.MinFocal /= (float)imgdata.lens.makernotes.CanonFocalUnits;
}
imgdata.lens.makernotes.MaxAp = _CanonConvertAperture(get2());
imgdata.lens.makernotes.MinAp = _CanonConvertAperture(get2());
}
else if (tag == 0x0002) // focal length
{
imgdata.lens.makernotes.FocalType = get2();
imgdata.lens.makernotes.CurFocal = get2();
if ((imgdata.lens.makernotes.CanonFocalUnits != 1) &&
imgdata.lens.makernotes.CanonFocalUnits)
{
imgdata.lens.makernotes.CurFocal /= (float)imgdata.lens.makernotes.CanonFocalUnits;
}
}
else if (tag == 0x0004) // shot info
{
fseek(ifp, 42, SEEK_CUR);
imgdata.lens.makernotes.CurAp = _CanonConvertAperture(get2());
}
else if (tag == 0x000d) // camera info
{
CanonCameraInfo = (uchar*)malloc(len);
fread(CanonCameraInfo, len, 1, ifp);
lenCanonCameraInfo = len;
}
else if (tag == 0x10) // Canon ModelID
{
unique_id = get4();
setCanonBodyFeatures(unique_id);
if (lenCanonCameraInfo) processCanonCameraInfo(unique_id, CanonCameraInfo);
}
else if (tag == 0x0095 && // lens model tag
!imgdata.lens.makernotes.Lens[0])
{
fread(imgdata.lens.makernotes.Lens, 2, 1, ifp);
imgdata.lens.makernotes.LensMount = LIBRAW_MOUNT_Canon_EF;
if (imgdata.lens.makernotes.Lens[0] < 65) // non-Canon lens
fread(imgdata.lens.makernotes.Lens + 2, 62, 1, ifp);
else
{
char efs[2];
imgdata.lens.makernotes.LensFeatures_pre[0] = imgdata.lens.makernotes.Lens[0];
imgdata.lens.makernotes.LensFeatures_pre[1] = imgdata.lens.makernotes.Lens[1];
fread(efs, 2, 1, ifp);
if (efs[0] == 45 && (efs[1] == 83 || efs[1] == 69 || efs[1] == 77))
{ // "EF-S, TS-E, MP-E, EF-M" lenses
imgdata.lens.makernotes.Lens[2] = imgdata.lens.makernotes.LensFeatures_pre[2] = efs[0];
imgdata.lens.makernotes.Lens[3] = imgdata.lens.makernotes.LensFeatures_pre[3] = efs[1];
imgdata.lens.makernotes.Lens[4] = 32;
if (efs[1] == 83)
{
imgdata.lens.makernotes.LensMount = LIBRAW_MOUNT_Canon_EF_S;
imgdata.lens.makernotes.LensFormat = LIBRAW_FORMAT_APSC;
}
else if (efs[1] == 77)
{
imgdata.lens.makernotes.LensMount = LIBRAW_MOUNT_Canon_EF_M;
}
}
else
{ // "EF" lenses
imgdata.lens.makernotes.Lens[2] = 32;
imgdata.lens.makernotes.Lens[3] = efs[0];
imgdata.lens.makernotes.Lens[4] = efs[1];
}
fread(imgdata.lens.makernotes.Lens + 5, 58, 1, ifp);
}
}
}
else if (!strncmp(make, "FUJI", 4))
switch (tag) {
case 0x1404: imgdata.lens.makernotes.MinFocal = getreal(type); break;
case 0x1405: imgdata.lens.makernotes.MaxFocal = getreal(type); break;
case 0x1406: imgdata.lens.makernotes.MaxAp4MinFocal = getreal(type); break;
case 0x1407: imgdata.lens.makernotes.MaxAp4MaxFocal = getreal(type); break;
}
else if (!strncasecmp(make, "LEICA", 5))
{
if ((tag == 0x0303) && (type != 4))
{
fread(imgdata.lens.makernotes.Lens, len, 1, ifp);
}
if ((tag == 0x3405) ||
(tag == 0x0310) ||
(tag == 0x34003405))
{
imgdata.lens.makernotes.LensID = get4();
imgdata.lens.makernotes.LensID =
((imgdata.lens.makernotes.LensID>>2)<<8) |
(imgdata.lens.makernotes.LensID & 0x3);
if (imgdata.lens.makernotes.LensID != -1)
{
if ((model[0] == 'M') ||
!strncasecmp (model, "LEICA M", 7))
{
imgdata.lens.makernotes.CameraMount = LIBRAW_MOUNT_Leica_M;
if (imgdata.lens.makernotes.LensID)
imgdata.lens.makernotes.LensMount = LIBRAW_MOUNT_Leica_M;
}
else if ((model[0] == 'S') ||
!strncasecmp (model, "LEICA S", 7))
{
imgdata.lens.makernotes.CameraMount = LIBRAW_MOUNT_Leica_S;
if (imgdata.lens.makernotes.Lens[0])
imgdata.lens.makernotes.LensMount = LIBRAW_MOUNT_Leica_S;
}
}
}
else if (
((tag == 0x0313) || (tag == 0x34003406)) &&
(fabs(imgdata.lens.makernotes.CurAp) < 0.17f) &&
((type == 10) || (type == 5))
)
{
imgdata.lens.makernotes.CurAp = getreal(type);
if (imgdata.lens.makernotes.CurAp > 126.3)
imgdata.lens.makernotes.CurAp = 0.0f;
}
else if (tag == 0x3400)
{
parse_makernote (base, 0x3400);
}
}
else if (!strncmp(make, "NIKON", 5))
{
if (tag == 0x1d) // serial number
while ((c = fgetc(ifp)) && c != EOF)
serial = serial * 10 + (isdigit(c) ? c - '0' : c % 10);
else if (tag == 0x0082) // lens attachment
{
fread(imgdata.lens.makernotes.Attachment, len, 1, ifp);
}
else if (tag == 0x0083) // lens type
{
imgdata.lens.nikon.NikonLensType = fgetc(ifp);
if (!(imgdata.lens.nikon.NikonLensType & 0x01))
{
imgdata.lens.makernotes.LensFeatures_pre[0] = 'A';
imgdata.lens.makernotes.LensFeatures_pre[1] = 'F';
}
if (imgdata.lens.nikon.NikonLensType & 0x02)
{
if (imgdata.lens.nikon.NikonLensType & 0x04)
imgdata.lens.makernotes.LensFeatures_suf[0] = 'G';
else
imgdata.lens.makernotes.LensFeatures_suf[0] = 'D';
imgdata.lens.makernotes.LensFeatures_suf[1] = ' ';
}
if (imgdata.lens.nikon.NikonLensType & 0x08)
{
imgdata.lens.makernotes.LensFeatures_suf[2] = 'V';
imgdata.lens.makernotes.LensFeatures_suf[3] = 'R';
}
if (imgdata.lens.nikon.NikonLensType & 0x10)
{
imgdata.lens.makernotes.LensMount = LIBRAW_MOUNT_Nikon_CX;
}
if (imgdata.lens.nikon.NikonLensType & 0x20)
{
strcpy(imgdata.lens.makernotes.Adapter, "FT-1");
}
imgdata.lens.nikon.NikonLensType = imgdata.lens.nikon.NikonLensType & 0xdf;
}
else if (tag == 0x0084) // lens
{
imgdata.lens.makernotes.MinFocal = getreal(type);
imgdata.lens.makernotes.MaxFocal = getreal(type);
imgdata.lens.makernotes.MaxAp4MinFocal = getreal(type);
imgdata.lens.makernotes.MaxAp4MaxFocal = getreal(type);
}
else if (tag == 0x008b) // lens f-stops
{
uchar a, b, c;
a = fgetc(ifp);
b = fgetc(ifp);
c = fgetc(ifp);
if (c)
{
imgdata.lens.nikon.NikonLensFStops = a*b*(12/c);
imgdata.lens.makernotes.LensFStops =
(float)imgdata.lens.nikon.NikonLensFStops /12.0f;
}
}
else if (tag == 0x0098) // contains lens data
{
for (i = 0; i < 4; i++)
{
NikonLensDataVersion = NikonLensDataVersion * 10 + fgetc(ifp) - '0';
}
switch (NikonLensDataVersion)
{
case 100: lenNikonLensData = 9; imgdata.lens.makernotes.LensMount = LIBRAW_MOUNT_Nikon_F; break;
case 101:
case 201: // encrypted, starting from v.201
case 202:
case 203: lenNikonLensData = 15; imgdata.lens.makernotes.LensMount = LIBRAW_MOUNT_Nikon_F; break;
case 204: lenNikonLensData = 16; imgdata.lens.makernotes.LensMount = LIBRAW_MOUNT_Nikon_F; break;
case 400: lenNikonLensData = 459; break;
case 401: lenNikonLensData = 590; break;
case 402: lenNikonLensData = 509; break;
case 403: lenNikonLensData = 879; break;
}
table_buf = (uchar*)malloc(lenNikonLensData);
fread(table_buf, lenNikonLensData, 1, ifp);
if ((NikonLensDataVersion < 201) && lenNikonLensData)
{
processNikonLensData(table_buf, lenNikonLensData);
lenNikonLensData = 0;
}
}
else if (tag == 0xa7) // shutter count
{
NikonKey = fgetc(ifp) ^ fgetc(ifp) ^ fgetc(ifp) ^ fgetc(ifp);
if ((NikonLensDataVersion > 200) && lenNikonLensData)
{
ci = xlat[0][serial & 0xff];
cj = xlat[1][NikonKey];
ck = 0x60;
for (i = 0; i < lenNikonLensData; i++)
table_buf[i] ^= (cj += ci * ck++);
processNikonLensData(table_buf, lenNikonLensData);
lenNikonLensData = 0;
}
}
else if (tag == 37 && (!iso_speed || iso_speed == 65535))
{
unsigned char cc;
fread(&cc, 1, 1, ifp);
iso_speed = (int)(100.0 * powf64(2.0, (double)(cc) / 12.0 - 5.0));
break;
}
}
else if (!strncmp(make, "OLYMPUS", 7))
{
if (tag == 0x2010)
{
fseek(ifp, save - 4, SEEK_SET);
fseek(ifp, base + get4(), SEEK_SET);
parse_makernote_0xc634(base, 0x2010, dng_writer);
}
switch (tag) {
case 0x0207:
case 0x20100100:
{
uchar sOlyID[7];
long unsigned OlyID;
fread (sOlyID, len, 1, ifp);
OlyID = sOlyID[0];
i = 1;
while (sOlyID[i])
{
OlyID = OlyID << 8 | sOlyID[i];
i++;
}
setOlympusBodyFeatures(OlyID);
}
break;
case 0x1002:
imgdata.lens.makernotes.CurAp = powf64(2.0f, getreal(type)/2);
break;
case 0x20100201:
imgdata.lens.makernotes.LensID =
(unsigned long long)fgetc(ifp)<<16 |
(unsigned long long)(fgetc(ifp), fgetc(ifp))<<8 |
(unsigned long long)fgetc(ifp);
imgdata.lens.makernotes.LensMount = LIBRAW_MOUNT_FT;
imgdata.lens.makernotes.LensFormat = LIBRAW_FORMAT_FT;
if (((imgdata.lens.makernotes.LensID < 0x20000) ||
(imgdata.lens.makernotes.LensID > 0x4ffff)) &&
(imgdata.lens.makernotes.LensID & 0x10))
{
imgdata.lens.makernotes.LensMount = LIBRAW_MOUNT_mFT;
}
break;
case 0x20100203:
fread(imgdata.lens.makernotes.Lens, len, 1, ifp);
break;
case 0x20100205:
imgdata.lens.makernotes.MaxAp4MinFocal = powf64(sqrt(2.0f), get2() / 256.0f);
break;
case 0x20100206:
imgdata.lens.makernotes.MaxAp4MaxFocal = powf64(sqrt(2.0f), get2() / 256.0f);
break;
case 0x20100207:
imgdata.lens.makernotes.MinFocal = (float)get2();
break;
case 0x20100208:
imgdata.lens.makernotes.MaxFocal = (float)get2();
if (imgdata.lens.makernotes.MaxFocal > 1000.0f)
imgdata.lens.makernotes.MaxFocal = imgdata.lens.makernotes.MinFocal;
break;
case 0x2010020a:
imgdata.lens.makernotes.MaxAp4CurFocal = powf64(sqrt(2.0f), get2() / 256.0f);
break;
case 0x20100301:
imgdata.lens.makernotes.TeleconverterID = fgetc(ifp) << 8;
fgetc(ifp);
imgdata.lens.makernotes.TeleconverterID =
imgdata.lens.makernotes.TeleconverterID | fgetc(ifp);
break;
case 0x20100303:
fread(imgdata.lens.makernotes.Teleconverter, len, 1, ifp);
break;
case 0x20100403:
fread(imgdata.lens.makernotes.Attachment, len, 1, ifp);
break;
}
}
else if (!strncmp(make, "PENTAX", 6) ||
!strncmp(model, "PENTAX", 6) ||
(!strncmp(make, "SAMSUNG", 7) && (dng_writer == CameraDNG)))
{
if (tag == 0x0005)
{
unique_id = get4();
setPentaxBodyFeatures(unique_id);
if (
(dng_writer == CameraDNG) &&
(
(unique_id == 0x12f66) || // Q10
(unique_id == 0x12f7a) || // Q7
(unique_id == 0x12ee4) // Q
)
)
base += 10;
}
else if (tag == 0x0013)
{
imgdata.lens.makernotes.CurAp = (float)get2()/10.0f;
}
else if (tag == 0x001d)
{
imgdata.lens.makernotes.CurFocal = (float)get4()/100.0f;
}
else if (tag == 0x003f)
{
imgdata.lens.makernotes.LensID = fgetc(ifp) << 8 | fgetc(ifp);
}
else if (tag == 0x0207)
{
ushort iLensData = 0;
table_buf = (uchar*)malloc(len);
fread(table_buf, len, 1, ifp);
if ((imgdata.lens.makernotes.CamID < 0x12b9c) ||
((imgdata.lens.makernotes.CamID == 0x12b9c) || // K100D
(imgdata.lens.makernotes.CamID == 0x12b9d) || // K110D
(imgdata.lens.makernotes.CamID == 0x12ba2) && // K100D Super
(!table_buf[20] || (table_buf[20] == 0xff))))
{
iLensData = 3;
if (imgdata.lens.makernotes.LensID == -1)
imgdata.lens.makernotes.LensID =
(((unsigned)table_buf[0]) << 8) + table_buf[1];
}
else switch (len)
{
case 90: // LensInfo3
iLensData = 13;
if (imgdata.lens.makernotes.LensID == -1)
imgdata.lens.makernotes.LensID =
((unsigned)((table_buf[1] & 0x0f) + table_buf[3]) <<8) + table_buf[4];
break;
case 91: // LensInfo4
iLensData = 12;
if (imgdata.lens.makernotes.LensID == -1)
imgdata.lens.makernotes.LensID =
((unsigned)((table_buf[1] & 0x0f) + table_buf[3]) <<8) + table_buf[4];
break;
case 80: // LensInfo5
case 128:
iLensData = 15;
if (imgdata.lens.makernotes.LensID == -1)
imgdata.lens.makernotes.LensID =
((unsigned)((table_buf[1] & 0x0f) + table_buf[4]) <<8) + table_buf[5];
break;
default:
if (imgdata.lens.makernotes.CamID >= 0x12b9c) // LensInfo2
{
iLensData = 4;
if (imgdata.lens.makernotes.LensID == -1)
imgdata.lens.makernotes.LensID =
((unsigned)((table_buf[0] & 0x0f) + table_buf[2]) <<8) + table_buf[3];
}
}
if (iLensData)
{
if (table_buf[iLensData+9] &&
(fabs(imgdata.lens.makernotes.CurFocal) < 0.1f))
imgdata.lens.makernotes.CurFocal =
10*(table_buf[iLensData+9]>>2) * powf64(4, (table_buf[iLensData+9] & 0x03)-2);
if (table_buf[iLensData+10] & 0xf0)
imgdata.lens.makernotes.MaxAp4CurFocal =
powf64(2.0f, (float)((table_buf[iLensData+10] & 0xf0) >>4)/4.0f);
if (table_buf[iLensData+10] & 0x0f)
imgdata.lens.makernotes.MinAp4CurFocal =
powf64(2.0f, (float)((table_buf[iLensData+10] & 0x0f) + 10)/4.0f);
if (
(imgdata.lens.makernotes.CamID != 0x12e6c) && // K-r
(imgdata.lens.makernotes.CamID != 0x12e76) && // K-5
(imgdata.lens.makernotes.CamID != 0x12f70) // K-5 II
// (imgdata.lens.makernotes.CamID != 0x12f71) // K-5 II s
)
{
switch (table_buf[iLensData] & 0x06)
{
case 0: imgdata.lens.makernotes.MinAp4MinFocal = 22.0f; break;
case 2: imgdata.lens.makernotes.MinAp4MinFocal = 32.0f; break;
case 4: imgdata.lens.makernotes.MinAp4MinFocal = 45.0f; break;
case 6: imgdata.lens.makernotes.MinAp4MinFocal = 16.0f; break;
}
if (table_buf[iLensData] & 0x70)
imgdata.lens.makernotes.LensFStops =
((float)(((table_buf[iLensData] & 0x70) >> 4) ^ 0x07)) / 2.0f + 5.0f;
if ((table_buf[iLensData+14] > 1) &&
(fabs(imgdata.lens.makernotes.MaxAp4CurFocal) < 0.7f))
imgdata.lens.makernotes.MaxAp4CurFocal =
powf64(2.0f, (float)((table_buf[iLensData+14] & 0x7f) -1)/32.0f);
}
else if ((imgdata.lens.makernotes.CamID != 0x12e76) && // K-5
(table_buf[iLensData+15] > 1) &&
(fabs(imgdata.lens.makernotes.MaxAp4CurFocal) < 0.7f))
{
imgdata.lens.makernotes.MaxAp4CurFocal =
powf64(2.0f, (float)((table_buf[iLensData+15] & 0x7f) -1)/32.0f);
}
}
free(table_buf);
}
else if (tag == 0x0239) // Q-series lens info (LensInfoQ)
{
char LensInfo [20];
fseek (ifp, 2, SEEK_CUR);
fread(imgdata.lens.makernotes.Lens, 30, 1, ifp);
strcat(imgdata.lens.makernotes.Lens, " ");
fread(LensInfo, 20, 1, ifp);
strcat(imgdata.lens.makernotes.Lens, LensInfo);
}
}
else if (!strncmp(make, "SAMSUNG", 7) &&
(dng_writer == AdobeDNG))
{
if (tag == 0x0002)
{
if(get4() == 0x2000)
{
imgdata.lens.makernotes.CameraMount = LIBRAW_MOUNT_Samsung_NX;
}
else if (!strncmp(model, "NX mini", 7))
{
imgdata.lens.makernotes.CameraMount = LIBRAW_MOUNT_Samsung_NX_M;
}
else
{
imgdata.lens.makernotes.CameraMount = LIBRAW_MOUNT_FixedLens;
imgdata.lens.makernotes.LensMount = LIBRAW_MOUNT_FixedLens;
}
}
else if (tag == 0x0003)
{
imgdata.lens.makernotes.CamID = unique_id = get4();
}
else if (tag == 0xa003)
{
imgdata.lens.makernotes.LensID = get2();
if (imgdata.lens.makernotes.LensID)
imgdata.lens.makernotes.LensMount = LIBRAW_MOUNT_Samsung_NX;
}
else if (tag == 0xa019)
{
imgdata.lens.makernotes.CurAp = getreal(type);
}
else if (tag == 0xa01a)
{
imgdata.lens.makernotes.FocalLengthIn35mmFormat = get4() / 10.0f;
if (imgdata.lens.makernotes.FocalLengthIn35mmFormat < 10.0f)
imgdata.lens.makernotes.FocalLengthIn35mmFormat *= 10.0f;
}
}
else if (!strncasecmp(make, "SONY", 4) ||
!strncasecmp(make, "Konica", 6) ||
!strncasecmp(make, "Minolta", 7) ||
(!strncasecmp(make, "Hasselblad", 10) &&
(!strncasecmp(model, "Stellar", 7) ||
!strncasecmp(model, "Lunar", 5) ||
!strncasecmp(model, "HV",2))))
{
ushort lid;
if (tag == 0xb001) // Sony ModelID
{
unique_id = get2();
setSonyBodyFeatures(unique_id);
if (table_buf_0x9050_present)
{
process_Sony_0x9050(table_buf_0x9050, unique_id);
free (table_buf_0x9050);
table_buf_0x9050_present = 0;
}
if (table_buf_0x940c_present)
{
if (imgdata.lens.makernotes.CameraMount == LIBRAW_MOUNT_Sony_E)
{
process_Sony_0x940c(table_buf_0x940c);
}
free (table_buf_0x940c);
table_buf_0x940c_present = 0;
}
}
else if ((tag == 0x0010) && // CameraInfo
strncasecmp(model, "DSLR-A100", 9) &&
strncasecmp(model, "NEX-5C", 6) &&
!strncasecmp(make, "SONY", 4) &&
((len == 368) || // a700
(len == 5478) || // a850, a900
(len == 5506) || // a200, a300, a350
(len == 6118) || // a230, a290, a330, a380, a390
// a450, a500, a550, a560, a580
// a33, a35, a55
// NEX3, NEX5, NEX5C, NEXC3, VG10E
(len == 15360))
)
{
table_buf = (uchar*)malloc(len);
fread(table_buf, len, 1, ifp);
if (memcmp(table_buf, "\xff\xff\xff\xff\xff\xff\xff\xff", 8) &&
memcmp(table_buf, "\x00\x00\x00\x00\x00\x00\x00\x00", 8))
{
switch (len) {
case 368:
case 5478:
// a700, a850, a900: CameraInfo
if (saneSonyCameraInfo(table_buf[0], table_buf[3], table_buf[2], table_buf[5], table_buf[4], table_buf[7]))
{
if (table_buf[0] | table_buf[3])
imgdata.lens.makernotes.MinFocal =
bcd2dec(table_buf[0]) * 100 + bcd2dec(table_buf[3]);
if (table_buf[2] | table_buf[5])
imgdata.lens.makernotes.MaxFocal =
bcd2dec(table_buf[2]) * 100 + bcd2dec(table_buf[5]);
if (table_buf[4])
imgdata.lens.makernotes.MaxAp4MinFocal = bcd2dec(table_buf[4]) / 10.0f;
if (table_buf[4])
imgdata.lens.makernotes.MaxAp4MaxFocal = bcd2dec(table_buf[7]) / 10.0f;
parseSonyLensFeatures(table_buf[1], table_buf[6]);
}
break;
default:
// CameraInfo2 & 3
if (saneSonyCameraInfo(table_buf[1], table_buf[2], table_buf[3], table_buf[4], table_buf[5], table_buf[6]))
{
if (table_buf[1] | table_buf[2])
imgdata.lens.makernotes.MinFocal =
bcd2dec(table_buf[1]) * 100 + bcd2dec(table_buf[2]);
if (table_buf[3] | table_buf[4])
imgdata.lens.makernotes.MaxFocal =
bcd2dec(table_buf[3]) * 100 + bcd2dec(table_buf[4]);
if (table_buf[5])
imgdata.lens.makernotes.MaxAp4MinFocal = bcd2dec(table_buf[5]) / 10.0f;
if (table_buf[6])
imgdata.lens.makernotes.MaxAp4MaxFocal = bcd2dec(table_buf[6]) / 10.0f;
parseSonyLensFeatures(table_buf[0], table_buf[7]);
}
}
}
free(table_buf);
}
else if (tag == 0x0105) // Teleconverter
{
imgdata.lens.makernotes.TeleconverterID = get2();
}
else if (tag == 0x0114) // CameraSettings
{
table_buf = (uchar*)malloc(len);
fread(table_buf, len, 1, ifp);
switch (len) {
case 280:
case 364:
case 332:
// CameraSettings and CameraSettings2 are big endian
if (table_buf[2] | table_buf[3])
{
lid = (((ushort)table_buf[2])<<8) |
((ushort)table_buf[3]);
imgdata.lens.makernotes.CurAp =
powf64(2.0f, ((float)lid/8.0f-1.0f)/2.0f);
}
break;
case 1536:
case 2048:
// CameraSettings3 are little endian
parseSonyLensType2(table_buf[1016], table_buf[1015]);
if (imgdata.lens.makernotes.LensMount != LIBRAW_MOUNT_Canon_EF)
{
switch (table_buf[153]) {
case 16: imgdata.lens.makernotes.LensMount = LIBRAW_MOUNT_Minolta_A; break;
case 17: imgdata.lens.makernotes.LensMount = LIBRAW_MOUNT_Sony_E; break;
}
}
break;
}
free(table_buf);
}
else if (tag == 0x9050) // little endian
{
table_buf_0x9050 = (uchar*)malloc(len);
table_buf_0x9050_present = 1;
fread(table_buf_0x9050, len, 1, ifp);
if (imgdata.lens.makernotes.CamID)
{
process_Sony_0x9050(table_buf_0x9050, imgdata.lens.makernotes.CamID);
free (table_buf_0x9050);
table_buf_0x9050_present = 0;
}
}
else if (tag == 0x940c)
{
table_buf_0x940c = (uchar*)malloc(len);
table_buf_0x940c_present = 1;
fread(table_buf_0x940c, len, 1, ifp);
if ((imgdata.lens.makernotes.CamID) &&
(imgdata.lens.makernotes.CameraMount == LIBRAW_MOUNT_Sony_E))
{
process_Sony_0x940c(table_buf_0x940c);
free(table_buf_0x940c);
table_buf_0x940c_present = 0;
}
}
else if (((tag == 0xb027) || (tag == 0x010c)) && (imgdata.lens.makernotes.LensID == -1))
{
imgdata.lens.makernotes.LensID = get4();
if ((imgdata.lens.makernotes.LensID > 61184) &&
(imgdata.lens.makernotes.LensID < 65535))
{
imgdata.lens.makernotes.LensID -= 61184;
imgdata.lens.makernotes.LensMount = LIBRAW_MOUNT_Canon_EF;
}
if (tag == 0x010c) imgdata.lens.makernotes.CameraMount = LIBRAW_MOUNT_Minolta_A;
}
else if (tag == 0xb02a) // Sony LensSpec
{
table_buf = (uchar*)malloc(len);
fread(table_buf, len, 1, ifp);
if (saneSonyCameraInfo(table_buf[1], table_buf[2], table_buf[3], table_buf[4], table_buf[5], table_buf[6]))
{
if (table_buf[1] | table_buf[2])
imgdata.lens.makernotes.MinFocal =
bcd2dec(table_buf[1]) * 100 + bcd2dec(table_buf[2]);
if (table_buf[3] | table_buf[4])
imgdata.lens.makernotes.MaxFocal =
bcd2dec(table_buf[3]) * 100 + bcd2dec(table_buf[4]);
if (table_buf[5])
imgdata.lens.makernotes.MaxAp4MinFocal = bcd2dec(table_buf[5]) / 10.0f;
if (table_buf[6])
imgdata.lens.makernotes.MaxAp4MaxFocal = bcd2dec(table_buf[6]) / 10.0f;
parseSonyLensFeatures(table_buf[0], table_buf[7]);
}
free(table_buf);
}
}
next:
fseek (ifp, save, SEEK_SET);
}
quit:
order = sorder;
}
#else
void CLASS parse_makernote_0xc634(int base, int uptag, unsigned dng_writer)
{
/*placeholder */
}
#endif
void CLASS parse_makernote (int base, int uptag)
{
unsigned offset=0, entries, tag, type, len, save, c;
unsigned ver97=0, serial=0, i, wbi=0, wb[4]={0,0,0,0};
uchar buf97[324], ci, cj, ck;
short morder, sorder=order;
char buf[10];
unsigned SamsungKey[11];
static const double rgb_adobe[3][3] = // inv(sRGB2XYZ_D65) * AdobeRGB2XYZ_D65
{{ 1.398283396477404, -0.398283116703571, 4.427165001263944E-08},
{-1.233904514232401E-07, 0.999999995196570, 3.126724276714121e-08},
{ 4.561487232726535E-08, -0.042938290466635, 1.042938250416105 }};
float adobe_cam [3][3];
uchar NikonKey;
#ifdef LIBRAW_LIBRARY_BUILD
unsigned NikonLensDataVersion = 0;
unsigned lenNikonLensData = 0;
uchar *CanonCameraInfo;
unsigned lenCanonCameraInfo = 0;
uchar *table_buf;
uchar *table_buf_0x9050;
ushort table_buf_0x9050_present = 0;
uchar *table_buf_0x940c;
ushort table_buf_0x940c_present = 0;
#endif
/*
The MakerNote might have its own TIFF header (possibly with
its own byte-order!), or it might just be a table.
*/
if (!strcmp(make,"Nokia")) return;
fread (buf, 1, 10, ifp);
if (!strncmp (buf,"KDK" ,3) || /* these aren't TIFF tables */
!strncmp (buf,"VER" ,3) ||
!strncmp (buf,"IIII",4) ||
!strncmp (buf,"MMMM",4)) return;
if (!strncmp (buf,"KC" ,2) || /* Konica KD-400Z, KD-510Z */
!strncmp (buf,"MLY" ,3)) { /* Minolta DiMAGE G series */
order = 0x4d4d;
while ((i=ftell(ifp)) < data_offset && i < 16384) {
wb[0] = wb[2]; wb[2] = wb[1]; wb[1] = wb[3];
wb[3] = get2();
if (wb[1] == 256 && wb[3] == 256 &&
wb[0] > 256 && wb[0] < 640 && wb[2] > 256 && wb[2] < 640)
FORC4 cam_mul[c] = wb[c];
}
goto quit;
}
if (!strcmp (buf,"Nikon")) {
base = ftell(ifp);
order = get2();
if (get2() != 42) goto quit;
offset = get4();
fseek (ifp, offset-8, SEEK_CUR);
} else if (!strcmp (buf,"OLYMPUS") ||
!strcmp (buf,"PENTAX ")) {
base = ftell(ifp)-10;
fseek (ifp, -2, SEEK_CUR);
order = get2();
if (buf[0] == 'O') get2();
} else if (!strncmp (buf,"SONY",4) ||
!strcmp (buf,"Panasonic")) {
goto nf;
} else if (!strncmp (buf,"FUJIFILM",8)) {
base = ftell(ifp)-10;
nf: order = 0x4949;
fseek (ifp, 2, SEEK_CUR);
} else if (!strcmp (buf,"OLYMP") ||
!strcmp (buf,"LEICA") ||
!strcmp (buf,"Ricoh") ||
!strcmp (buf,"EPSON"))
fseek (ifp, -2, SEEK_CUR);
else if (!strcmp (buf,"AOC") ||
!strcmp (buf,"QVC"))
fseek (ifp, -4, SEEK_CUR);
else {
fseek (ifp, -10, SEEK_CUR);
if (!strncmp(make,"SAMSUNG",7))
base = ftell(ifp);
}
// adjust pos & base for Leica M8/M9/M Mono tags and dir in tag 0x3400
if (!strncasecmp(make, "LEICA", 5))
{
if (!strncmp(model, "M8", 2) ||
!strncasecmp(model, "Leica M8", 8) ||
!strncasecmp(model, "LEICA X", 7))
{
base = ftell(ifp)-8;
}
else if (!strncasecmp(model, "LEICA M (Typ 240)", 17))
{
base = 0;
}
else if (!strncmp(model, "M9", 2) ||
!strncasecmp(model, "Leica M9", 8) ||
!strncasecmp(model, "M Monochrom", 11) ||
!strncasecmp(model, "Leica M Monochrom", 11))
{
if (!uptag)
{
base = ftell(ifp) - 10;
fseek (ifp, 8, SEEK_CUR);
}
else if (uptag == 0x3400)
{
fseek (ifp, 10, SEEK_CUR);
base += 10;
}
}
else if (!strncasecmp(model, "LEICA T", 7))
{
base = ftell(ifp)-8;
#ifdef LIBRAW_LIBRARY_BUILD
imgdata.lens.makernotes.CameraMount = LIBRAW_MOUNT_Leica_T;
#endif
}
}
entries = get2();
// printf("\n*** parse_makernote\n\tmake =%s=\n\tmodel =%s= \n\tentries: %d\n\tpos: 0x%llx\n",
// make, model, entries, ftell(ifp));
if (entries > 1000) return;
morder = order;
while (entries--) {
order = morder;
tiff_get (base, &tag, &type, &len, &save);
tag |= uptag << 16;
// printf ("\n\tbase: 0x%x tag: 0x%04x type: 0x%x len: 0x%x pos: 0x%llx",
// base, tag, type, len, ftell(ifp));
#ifdef LIBRAW_LIBRARY_BUILD
if (!strcmp(make, "Canon"))
{
if (tag == 0x0001) // camera settings
{
fseek(ifp, 44, SEEK_CUR);
imgdata.lens.makernotes.LensID = get2();
imgdata.lens.makernotes.MaxFocal = get2();
imgdata.lens.makernotes.MinFocal = get2();
imgdata.lens.makernotes.CanonFocalUnits = get2();
if (imgdata.lens.makernotes.CanonFocalUnits != 1)
{
imgdata.lens.makernotes.MaxFocal /= (float)imgdata.lens.makernotes.CanonFocalUnits;
imgdata.lens.makernotes.MinFocal /= (float)imgdata.lens.makernotes.CanonFocalUnits;
}
imgdata.lens.makernotes.MaxAp = _CanonConvertAperture(get2());
imgdata.lens.makernotes.MinAp = _CanonConvertAperture(get2());
}
else if (tag == 0x0002) // focal length
{
imgdata.lens.makernotes.FocalType = get2();
imgdata.lens.makernotes.CurFocal = get2();
if ((imgdata.lens.makernotes.CanonFocalUnits != 1) &&
imgdata.lens.makernotes.CanonFocalUnits)
{
imgdata.lens.makernotes.CurFocal /= (float)imgdata.lens.makernotes.CanonFocalUnits;
}
}
else if (tag == 0x0004) // shot info
{
fseek(ifp, 42, SEEK_CUR);
imgdata.lens.makernotes.CurAp = _CanonConvertAperture(get2());
}
else if (tag == 0x000d) // camera info
{
CanonCameraInfo = (uchar*)malloc(len);
fread(CanonCameraInfo, len, 1, ifp);
lenCanonCameraInfo = len;
}
else if (tag == 0x0095 && // lens model tag
!imgdata.lens.makernotes.Lens[0])
{
fread(imgdata.lens.makernotes.Lens, 2, 1, ifp);
imgdata.lens.makernotes.LensMount = LIBRAW_MOUNT_Canon_EF;
if (imgdata.lens.makernotes.Lens[0] < 65) // non-Canon lens
fread(imgdata.lens.makernotes.Lens + 2, 62, 1, ifp);
else
{
char efs[2];
imgdata.lens.makernotes.LensFeatures_pre[0] = imgdata.lens.makernotes.Lens[0];
imgdata.lens.makernotes.LensFeatures_pre[1] = imgdata.lens.makernotes.Lens[1];
fread(efs, 2, 1, ifp);
if (efs[0] == 45 && (efs[1] == 83 || efs[1] == 69 || efs[1] == 77))
{ // "EF-S, TS-E, MP-E, EF-M" lenses
imgdata.lens.makernotes.Lens[2] = imgdata.lens.makernotes.LensFeatures_pre[2] = efs[0];
imgdata.lens.makernotes.Lens[3] = imgdata.lens.makernotes.LensFeatures_pre[3] = efs[1];
imgdata.lens.makernotes.Lens[4] = 32;
if (efs[1] == 83)
{
imgdata.lens.makernotes.LensMount = LIBRAW_MOUNT_Canon_EF_S;
imgdata.lens.makernotes.LensFormat = LIBRAW_FORMAT_APSC;
}
else if (efs[1] == 77)
{
imgdata.lens.makernotes.LensMount = LIBRAW_MOUNT_Canon_EF_M;
}
}
else
{ // "EF" lenses
imgdata.lens.makernotes.Lens[2] = 32;
imgdata.lens.makernotes.Lens[3] = efs[0];
imgdata.lens.makernotes.Lens[4] = efs[1];
}
fread(imgdata.lens.makernotes.Lens + 5, 58, 1, ifp);
}
}
}
else if (!strncmp(make, "FUJI", 4))
switch (tag) {
case 0x1404: imgdata.lens.makernotes.MinFocal = getreal(type); break;
case 0x1405: imgdata.lens.makernotes.MaxFocal = getreal(type); break;
case 0x1406: imgdata.lens.makernotes.MaxAp4MinFocal = getreal(type); break;
case 0x1407: imgdata.lens.makernotes.MaxAp4MaxFocal = getreal(type); break;
}
else if (!strncasecmp(make, "LEICA", 5))
{
if ((tag == 0x0303) && (type != 4))
{
fread(imgdata.lens.makernotes.Lens, len, 1, ifp);
}
if ((tag == 0x3405) ||
(tag == 0x0310) ||
(tag == 0x34003405))
{
imgdata.lens.makernotes.LensID = get4();
imgdata.lens.makernotes.LensID =
((imgdata.lens.makernotes.LensID>>2)<<8) |
(imgdata.lens.makernotes.LensID & 0x3);
if (imgdata.lens.makernotes.LensID != -1)
{
if ((model[0] == 'M') ||
!strncasecmp (model, "LEICA M", 7))
{
imgdata.lens.makernotes.CameraMount = LIBRAW_MOUNT_Leica_M;
if (imgdata.lens.makernotes.LensID)
imgdata.lens.makernotes.LensMount = LIBRAW_MOUNT_Leica_M;
}
else if ((model[0] == 'S') ||
!strncasecmp (model, "LEICA S", 7))
{
imgdata.lens.makernotes.CameraMount = LIBRAW_MOUNT_Leica_S;
if (imgdata.lens.makernotes.Lens[0])
imgdata.lens.makernotes.LensMount = LIBRAW_MOUNT_Leica_S;
}
}
}
else if (
((tag == 0x0313) || (tag == 0x34003406)) &&
(fabs(imgdata.lens.makernotes.CurAp) < 0.17f) &&
((type == 10) || (type == 5))
)
{
imgdata.lens.makernotes.CurAp = getreal(type);
if (imgdata.lens.makernotes.CurAp > 126.3)
imgdata.lens.makernotes.CurAp = 0.0f;
}
else if (tag == 0x3400)
{
parse_makernote (base, 0x3400);
}
}
else if (!strncmp(make, "NIKON",5))
{
if (tag == 0x0082) // lens attachment
{
fread(imgdata.lens.makernotes.Attachment, len, 1, ifp);
}
else if (tag == 0x0083) // lens type
{
imgdata.lens.nikon.NikonLensType = fgetc(ifp);
if (!(imgdata.lens.nikon.NikonLensType & 0x01))
{
imgdata.lens.makernotes.LensFeatures_pre[0] = 'A';
imgdata.lens.makernotes.LensFeatures_pre[1] = 'F';
}
if (imgdata.lens.nikon.NikonLensType & 0x02)
{
if (imgdata.lens.nikon.NikonLensType & 0x04)
imgdata.lens.makernotes.LensFeatures_suf[0] = 'G';
else
imgdata.lens.makernotes.LensFeatures_suf[0] = 'D';
imgdata.lens.makernotes.LensFeatures_suf[1] = ' ';
}
if (imgdata.lens.nikon.NikonLensType & 0x08)
{
imgdata.lens.makernotes.LensFeatures_suf[2] = 'V';
imgdata.lens.makernotes.LensFeatures_suf[3] = 'R';
}
if (imgdata.lens.nikon.NikonLensType & 0x10)
{
imgdata.lens.makernotes.LensMount = LIBRAW_MOUNT_Nikon_CX;
}
if (imgdata.lens.nikon.NikonLensType & 0x20)
{
strcpy(imgdata.lens.makernotes.Adapter, "FT-1");
}
imgdata.lens.nikon.NikonLensType = imgdata.lens.nikon.NikonLensType & 0xdf;
}
else if (tag == 0x0084) // lens
{
imgdata.lens.makernotes.MinFocal = getreal(type);
imgdata.lens.makernotes.MaxFocal = getreal(type);
imgdata.lens.makernotes.MaxAp4MinFocal = getreal(type);
imgdata.lens.makernotes.MaxAp4MaxFocal = getreal(type);
}
else if (tag == 0x008b) // lens f-stops
{
uchar a, b, c;
a = fgetc(ifp);
b = fgetc(ifp);
c = fgetc(ifp);
if (c)
{
imgdata.lens.nikon.NikonLensFStops = a*b*(12/c);
imgdata.lens.makernotes.LensFStops =
(float)imgdata.lens.nikon.NikonLensFStops /12.0f;
}
}
else if (tag == 0x0098) // contains lens data
{
for (i = 0; i < 4; i++)
{
NikonLensDataVersion = NikonLensDataVersion * 10 + fgetc(ifp) - '0';
}
switch (NikonLensDataVersion)
{
case 100: lenNikonLensData = 9; imgdata.lens.makernotes.LensMount = LIBRAW_MOUNT_Nikon_F; break;
case 101:
case 201: // encrypted, starting from v.201
case 202:
case 203: lenNikonLensData = 15; imgdata.lens.makernotes.LensMount = LIBRAW_MOUNT_Nikon_F; break;
case 204: lenNikonLensData = 16; imgdata.lens.makernotes.LensMount = LIBRAW_MOUNT_Nikon_F; break;
case 400: lenNikonLensData = 459; break;
case 401: lenNikonLensData = 590; break;
case 402: lenNikonLensData = 509; break;
case 403: lenNikonLensData = 879; break;
}
table_buf = (uchar*)malloc(lenNikonLensData);
fread(table_buf, lenNikonLensData, 1, ifp);
if ((NikonLensDataVersion < 201) && lenNikonLensData)
{
processNikonLensData(table_buf, lenNikonLensData);
lenNikonLensData = 0;
}
}
}
else if (!strncmp(make, "OLYMPUS", 7))
{
switch (tag) {
case 0x0207:
case 0x20100100:
{
uchar sOlyID[7];
long unsigned OlyID;
fread (sOlyID, len, 1, ifp);
OlyID = sOlyID[0];
i = 1;
while (sOlyID[i])
{
OlyID = OlyID << 8 | sOlyID[i];
i++;
}
setOlympusBodyFeatures(OlyID);
}
break;
case 0x1002:
imgdata.lens.makernotes.CurAp = powf64(2.0f, getreal(type)/2);
break;
case 0x20100201:
imgdata.lens.makernotes.LensID =
(unsigned long long)fgetc(ifp)<<16 |
(unsigned long long)(fgetc(ifp), fgetc(ifp))<<8 |
(unsigned long long)fgetc(ifp);
imgdata.lens.makernotes.LensMount = LIBRAW_MOUNT_FT;
imgdata.lens.makernotes.LensFormat = LIBRAW_FORMAT_FT;
if (((imgdata.lens.makernotes.LensID < 0x20000) ||
(imgdata.lens.makernotes.LensID > 0x4ffff)) &&
(imgdata.lens.makernotes.LensID & 0x10))
{
imgdata.lens.makernotes.LensMount = LIBRAW_MOUNT_mFT;
}
break;
case 0x20100203:
fread(imgdata.lens.makernotes.Lens, len, 1, ifp);
break;
case 0x20100205:
imgdata.lens.makernotes.MaxAp4MinFocal = powf64(sqrt(2.0f), get2() / 256.0f);
break;
case 0x20100206:
imgdata.lens.makernotes.MaxAp4MaxFocal = powf64(sqrt(2.0f), get2() / 256.0f);
break;
case 0x20100207:
imgdata.lens.makernotes.MinFocal = (float)get2();
break;
case 0x20100208:
imgdata.lens.makernotes.MaxFocal = (float)get2();
if (imgdata.lens.makernotes.MaxFocal > 1000.0f)
imgdata.lens.makernotes.MaxFocal = imgdata.lens.makernotes.MinFocal;
break;
case 0x2010020a:
imgdata.lens.makernotes.MaxAp4CurFocal = powf64(sqrt(2.0f), get2() / 256.0f);
break;
case 0x20100301:
imgdata.lens.makernotes.TeleconverterID = fgetc(ifp) << 8;
fgetc(ifp);
imgdata.lens.makernotes.TeleconverterID =
imgdata.lens.makernotes.TeleconverterID | fgetc(ifp);
break;
case 0x20100303:
fread(imgdata.lens.makernotes.Teleconverter, len, 1, ifp);
break;
case 0x20100403:
fread(imgdata.lens.makernotes.Attachment, len, 1, ifp);
break;
}
}
else if (!strncmp(make, "PENTAX", 6) &&
!strncmp(model, "GR", 2))
{
if ((tag == 0x1001) && (type == 3))
{
imgdata.lens.makernotes.CameraMount = LIBRAW_MOUNT_FixedLens;
imgdata.lens.makernotes.LensMount = LIBRAW_MOUNT_FixedLens;
imgdata.lens.makernotes.CameraFormat = LIBRAW_FORMAT_APSC;
imgdata.lens.makernotes.LensID = -1;
imgdata.lens.makernotes.FocalType = 1;
}
else if ((tag == 0x1017) && (get2() == 2))
{
strcpy(imgdata.lens.makernotes.Attachment, "Wide-Angle Adapter");
}
else if (tag == 0x1500)
{
imgdata.lens.makernotes.CurFocal = getreal(type);
}
}
else if (!strncmp(make, "RICOH", 5) &&
strncmp(model, "PENTAX", 6))
{
if ((tag == 0x1017) && (get2() == 2))
{
strcpy(imgdata.lens.makernotes.Attachment, "Wide-Angle Adapter");
}
else if (tag == 0x1500)
{
imgdata.lens.makernotes.CurFocal = getreal(type);
}
else if (tag == 0x2001)
{
short ntags, cur_tag;
fseek(ifp, 20, SEEK_CUR);
ntags = get2();
cur_tag = get2();
while (cur_tag != 0x002c)
{
fseek(ifp, 10, SEEK_CUR);
cur_tag = get2();
}
fseek(ifp, 6, SEEK_CUR);
fseek(ifp, get4()+34, SEEK_SET);
imgdata.lens.makernotes.LensID = getc(ifp) - '0';
switch(imgdata.lens.makernotes.LensID)
{
case 1:
case 2:
case 3:
case 5:
case 6:
imgdata.lens.makernotes.CameraMount = LIBRAW_MOUNT_FixedLens;
imgdata.lens.makernotes.LensMount = LIBRAW_MOUNT_RicohModule;
break;
case 8:
imgdata.lens.makernotes.CameraMount = LIBRAW_MOUNT_Leica_M;
imgdata.lens.makernotes.CameraFormat = LIBRAW_FORMAT_APSC;
imgdata.lens.makernotes.LensID = -1;
break;
default:
imgdata.lens.makernotes.LensID = -1;
}
}
}
else if (!strncmp(make, "PENTAX", 6) ||
!strncmp(model, "PENTAX", 6) ||
(!strncmp(make, "SAMSUNG", 7) && dng_version) &&
strncmp(model, "GR", 2))
{
if (tag == 0x0005)
{
unique_id = get4();
setPentaxBodyFeatures(unique_id);
}
else if (tag == 0x0013)
{
imgdata.lens.makernotes.CurAp = (float)get2()/10.0f;
}
else if (tag == 0x001d)
{
imgdata.lens.makernotes.CurFocal = (float)get4()/100.0f;
}
else if (tag == 0x003f)
{
imgdata.lens.makernotes.LensID = fgetc(ifp) << 8 | fgetc(ifp);
}
else if (tag == 0x0207)
{
ushort iLensData = 0;
table_buf = (uchar*)malloc(len);
fread(table_buf, len, 1, ifp);
if ((imgdata.lens.makernotes.CamID < 0x12b9c) ||
((imgdata.lens.makernotes.CamID == 0x12b9c) || // K100D
(imgdata.lens.makernotes.CamID == 0x12b9d) || // K110D
(imgdata.lens.makernotes.CamID == 0x12ba2) && // K100D Super
(!table_buf[20] || (table_buf[20] == 0xff))))
{
iLensData = 3;
if (imgdata.lens.makernotes.LensID == -1)
imgdata.lens.makernotes.LensID =
(((unsigned)table_buf[0]) << 8) + table_buf[1];
}
else switch (len)
{
case 90: // LensInfo3
iLensData = 13;
if (imgdata.lens.makernotes.LensID == -1)
imgdata.lens.makernotes.LensID =
((unsigned)((table_buf[1] & 0x0f) + table_buf[3]) <<8) + table_buf[4];
break;
case 91: // LensInfo4
iLensData = 12;
if (imgdata.lens.makernotes.LensID == -1)
imgdata.lens.makernotes.LensID =
((unsigned)((table_buf[1] & 0x0f) + table_buf[3]) <<8) + table_buf[4];
break;
case 80: // LensInfo5
case 128:
iLensData = 15;
if (imgdata.lens.makernotes.LensID == -1)
imgdata.lens.makernotes.LensID =
((unsigned)((table_buf[1] & 0x0f) + table_buf[4]) <<8) + table_buf[5];
break;
default:
if (imgdata.lens.makernotes.CamID >= 0x12b9c) // LensInfo2
{
iLensData = 4;
if (imgdata.lens.makernotes.LensID == -1)
imgdata.lens.makernotes.LensID =
((unsigned)((table_buf[0] & 0x0f) + table_buf[2]) <<8) + table_buf[3];
}
}
if (iLensData)
{
if (table_buf[iLensData+9] && (fabs(imgdata.lens.makernotes.CurFocal) < 0.1f))
imgdata.lens.makernotes.CurFocal =
10*(table_buf[iLensData+9]>>2) * powf64(4, (table_buf[iLensData+9] & 0x03)-2);
if (table_buf[iLensData+10] & 0xf0)
imgdata.lens.makernotes.MaxAp4CurFocal =
powf64(2.0f, (float)((table_buf[iLensData+10] & 0xf0) >>4)/4.0f);
if (table_buf[iLensData+10] & 0x0f)
imgdata.lens.makernotes.MinAp4CurFocal =
powf64(2.0f, (float)((table_buf[iLensData+10] & 0x0f) + 10)/4.0f);
if (
(imgdata.lens.makernotes.CamID != 0x12e6c) && // K-r
(imgdata.lens.makernotes.CamID != 0x12e76) && // K-5
(imgdata.lens.makernotes.CamID != 0x12f70) // K-5 II
// (imgdata.lens.makernotes.CamID != 0x12f71) // K-5 II s
)
{
switch (table_buf[iLensData] & 0x06)
{
case 0: imgdata.lens.makernotes.MinAp4MinFocal = 22.0f; break;
case 2: imgdata.lens.makernotes.MinAp4MinFocal = 32.0f; break;
case 4: imgdata.lens.makernotes.MinAp4MinFocal = 45.0f; break;
case 6: imgdata.lens.makernotes.MinAp4MinFocal = 16.0f; break;
}
if (table_buf[iLensData] & 0x70)
imgdata.lens.makernotes.LensFStops =
((float)(((table_buf[iLensData] & 0x70) >> 4) ^ 0x07)) / 2.0f + 5.0f;
if ((table_buf[iLensData+14] > 1) &&
(fabs(imgdata.lens.makernotes.MaxAp4CurFocal) < 0.7f))
imgdata.lens.makernotes.MaxAp4CurFocal =
powf64(2.0f, (float)((table_buf[iLensData+14] & 0x7f) -1)/32.0f);
}
else if ((imgdata.lens.makernotes.CamID != 0x12e76) && // K-5
(table_buf[iLensData+15] > 1) &&
(fabs(imgdata.lens.makernotes.MaxAp4CurFocal) < 0.7f))
{
imgdata.lens.makernotes.MaxAp4CurFocal =
powf64(2.0f, (float)((table_buf[iLensData+15] & 0x7f) -1)/32.0f);
}
}
free(table_buf);
}
else if (tag == 0x0239) // Q-series lens info (LensInfoQ)
{
char LensInfo [20];
fseek (ifp, 2, SEEK_CUR);
fread(imgdata.lens.makernotes.Lens, 30, 1, ifp);
strcat(imgdata.lens.makernotes.Lens, " ");
fread(LensInfo, 20, 1, ifp);
strcat(imgdata.lens.makernotes.Lens, LensInfo);
}
}
else if (!strncmp(make, "SAMSUNG", 7))
{
if (tag == 0x0002)
{
if(get4() == 0x2000)
{
imgdata.lens.makernotes.CameraMount = LIBRAW_MOUNT_Samsung_NX;
}
else if (!strncmp(model, "NX mini", 7))
{
imgdata.lens.makernotes.CameraMount = LIBRAW_MOUNT_Samsung_NX_M;
}
else
{
imgdata.lens.makernotes.CameraMount = LIBRAW_MOUNT_FixedLens;
imgdata.lens.makernotes.LensMount = LIBRAW_MOUNT_FixedLens;
}
}
else if (tag == 0x0003)
{
unique_id = imgdata.lens.makernotes.CamID = get4();
}
else if (tag == 0xa003)
{
imgdata.lens.makernotes.LensID = get2();
if (imgdata.lens.makernotes.LensID)
imgdata.lens.makernotes.LensMount = LIBRAW_MOUNT_Samsung_NX;
}
else if (tag == 0xa019)
{
imgdata.lens.makernotes.CurAp = getreal(type);
}
else if (tag == 0xa01a)
{
imgdata.lens.makernotes.FocalLengthIn35mmFormat = get4() / 10.0f;
if (imgdata.lens.makernotes.FocalLengthIn35mmFormat < 10.0f)
imgdata.lens.makernotes.FocalLengthIn35mmFormat *= 10.0f;
}
}
else if (!strncasecmp(make, "SONY", 4) ||
!strncasecmp(make, "Konica", 6) ||
!strncasecmp(make, "Minolta", 7) ||
(!strncasecmp(make, "Hasselblad", 10) &&
(!strncasecmp(model, "Stellar", 7) ||
!strncasecmp(model, "Lunar", 5) ||
!strncasecmp(model, "HV",2))))
{
ushort lid;
if (tag == 0xb001) // Sony ModelID
{
unique_id = get2();
setSonyBodyFeatures(unique_id);
if (table_buf_0x9050_present)
{
process_Sony_0x9050(table_buf_0x9050, unique_id);
free (table_buf_0x9050);
table_buf_0x9050_present = 0;
}
if (table_buf_0x940c_present)
{
if (imgdata.lens.makernotes.CameraMount == LIBRAW_MOUNT_Sony_E)
{
process_Sony_0x940c(table_buf_0x940c);
}
free (table_buf_0x940c);
table_buf_0x940c_present = 0;
}
}
else if ((tag == 0x0010) && // CameraInfo
strncasecmp(model, "DSLR-A100", 9) &&
strncasecmp(model, "NEX-5C", 6) &&
!strncasecmp(make, "SONY", 4) &&
((len == 368) || // a700
(len == 5478) || // a850, a900
(len == 5506) || // a200, a300, a350
(len == 6118) || // a230, a290, a330, a380, a390
// a450, a500, a550, a560, a580
// a33, a35, a55
// NEX3, NEX5, NEX5C, NEXC3, VG10E
(len == 15360))
)
{
table_buf = (uchar*)malloc(len);
fread(table_buf, len, 1, ifp);
if (memcmp(table_buf, "\xff\xff\xff\xff\xff\xff\xff\xff", 8) &&
memcmp(table_buf, "\x00\x00\x00\x00\x00\x00\x00\x00", 8))
{
switch (len)
{
case 368:
case 5478:
// a700, a850, a900: CameraInfo
if (table_buf[0] | table_buf[3])
imgdata.lens.makernotes.MinFocal =
bcd2dec(table_buf[0]) * 100 + bcd2dec(table_buf[3]);
if (table_buf[2] | table_buf[5])
imgdata.lens.makernotes.MaxFocal =
bcd2dec(table_buf[2]) * 100 + bcd2dec(table_buf[5]);
if (table_buf[4])
imgdata.lens.makernotes.MaxAp4MinFocal = bcd2dec(table_buf[4]) / 10.0f;
if (table_buf[4])
imgdata.lens.makernotes.MaxAp4MaxFocal = bcd2dec(table_buf[7]) / 10.0f;
parseSonyLensFeatures(table_buf[1], table_buf[6]);
break;
default:
// CameraInfo2 & 3
if (table_buf[1] | table_buf[2])
imgdata.lens.makernotes.MinFocal =
bcd2dec(table_buf[1]) * 100 + bcd2dec(table_buf[2]);
if (table_buf[3] | table_buf[4])
imgdata.lens.makernotes.MaxFocal =
bcd2dec(table_buf[3]) * 100 + bcd2dec(table_buf[4]);
if (table_buf[5])
imgdata.lens.makernotes.MaxAp4MinFocal = bcd2dec(table_buf[5]) / 10.0f;
if (table_buf[6])
imgdata.lens.makernotes.MaxAp4MaxFocal = bcd2dec(table_buf[6]) / 10.0f;
parseSonyLensFeatures(table_buf[0], table_buf[7]);
}
}
free(table_buf);
}
else if (tag == 0x0105) // Teleconverter
{
imgdata.lens.makernotes.TeleconverterID = get2();
}
else if (tag == 0x0114) // CameraSettings
{
table_buf = (uchar*)malloc(len);
fread(table_buf, len, 1, ifp);
switch (len) {
case 280:
case 364:
case 332:
// CameraSettings and CameraSettings2 are big endian
if (table_buf[2] | table_buf[3])
{
lid = (((ushort)table_buf[2])<<8) |
((ushort)table_buf[3]);
imgdata.lens.makernotes.CurAp =
powf64(2.0f, ((float)lid/8.0f-1.0f)/2.0f);
}
break;
case 1536:
case 2048:
// CameraSettings3 are little endian
parseSonyLensType2(table_buf[1016], table_buf[1015]);
if (imgdata.lens.makernotes.LensMount != LIBRAW_MOUNT_Canon_EF)
{
switch (table_buf[153]) {
case 16: imgdata.lens.makernotes.LensMount = LIBRAW_MOUNT_Minolta_A; break;
case 17: imgdata.lens.makernotes.LensMount = LIBRAW_MOUNT_Sony_E; break;
}
}
break;
}
free(table_buf);
}
else if (tag == 0x9050) // little endian
{
table_buf_0x9050 = (uchar*)malloc(len);
table_buf_0x9050_present = 1;
fread(table_buf_0x9050, len, 1, ifp);
if (imgdata.lens.makernotes.CamID)
{
process_Sony_0x9050(table_buf_0x9050, imgdata.lens.makernotes.CamID);
free (table_buf_0x9050);
table_buf_0x9050_present = 0;
}
}
else if (tag == 0x940c)
{
table_buf_0x940c = (uchar*)malloc(len);
table_buf_0x940c_present = 1;
fread(table_buf_0x940c, len, 1, ifp);
if ((imgdata.lens.makernotes.CamID) &&
(imgdata.lens.makernotes.CameraMount == LIBRAW_MOUNT_Sony_E))
{
process_Sony_0x940c(table_buf_0x940c);
free(table_buf_0x940c);
table_buf_0x940c_present = 0;
}
}
else if (((tag == 0xb027) || (tag == 0x010c)) && (imgdata.lens.makernotes.LensID == -1))
{
imgdata.lens.makernotes.LensID = get4();
if ((imgdata.lens.makernotes.LensID > 61184) &&
(imgdata.lens.makernotes.LensID < 65535))
{
imgdata.lens.makernotes.LensID -= 61184;
imgdata.lens.makernotes.LensMount = LIBRAW_MOUNT_Canon_EF;
}
if (tag == 0x010c) imgdata.lens.makernotes.CameraMount = LIBRAW_MOUNT_Minolta_A;
}
else if (tag == 0xb02a) // Sony LensSpec
{
table_buf = (uchar*)malloc(len);
fread(table_buf, len, 1, ifp);
if (table_buf[1] | table_buf[2])
imgdata.lens.makernotes.MinFocal =
bcd2dec(table_buf[1]) * 100 + bcd2dec(table_buf[2]);
if (table_buf[3] | table_buf[4])
imgdata.lens.makernotes.MaxFocal =
bcd2dec(table_buf[3]) * 100 + bcd2dec(table_buf[4]);
if (table_buf[5])
imgdata.lens.makernotes.MaxAp4MinFocal = bcd2dec(table_buf[5]) / 10.0f;
if (table_buf[6])
imgdata.lens.makernotes.MaxAp4MaxFocal = bcd2dec(table_buf[6]) / 10.0f;
parseSonyLensFeatures(table_buf[0], table_buf[7]);
free(table_buf);
}
}
#endif
if (tag == 2 && strstr(make,"NIKON") && !iso_speed)
iso_speed = (get2(),get2());
if (tag == 37 && strstr(make,"NIKON") && (!iso_speed || iso_speed == 65535))
{
unsigned char cc;
fread(&cc,1,1,ifp);
iso_speed = int(100.0 * powf64(2.0f,float(cc)/12.0-5.0));
}
if (tag == 4 && len > 26 && len < 35) {
if ((i=(get4(),get2())) != 0x7fff && (!iso_speed || iso_speed == 65535))
iso_speed = 50 * powf64(2.0, i/32.0 - 4);
if ((i=(get2(),get2())) != 0x7fff && !aperture)
aperture = powf64(2.0, i/64.0);
if ((i=get2()) != 0xffff && !shutter)
shutter = powf64(2.0, (short) i/-32.0);
wbi = (get2(),get2());
shot_order = (get2(),get2());
}
if ((tag == 4 || tag == 0x114) && !strncmp(make,"KONICA",6)) {
fseek (ifp, tag == 4 ? 140:160, SEEK_CUR);
switch (get2()) {
case 72: flip = 0; break;
case 76: flip = 6; break;
case 82: flip = 5; break;
}
}
if (tag == 7 && type == 2 && len > 20)
fgets (model2, 64, ifp);
if (tag == 8 && type == 4)
shot_order = get4();
if (tag == 9 && !strcmp(make,"Canon"))
fread (artist, 64, 1, ifp);
if (tag == 0xc && len == 4)
FORC3 cam_mul[(c << 1 | c >> 1) & 3] = getreal(type);
if (tag == 0xd && type == 7 && get2() == 0xaaaa) {
for (c=i=2; (ushort) c != 0xbbbb && i < len; i++)
c = c << 8 | fgetc(ifp);
while ((i+=4) < len-5)
if (get4() == 257 && (i=len) && (c = (get4(),fgetc(ifp))) < 3)
flip = "065"[c]-'0';
}
if (tag == 0x10 && type == 4)
{
unique_id = get4();
#ifdef LIBRAW_LIBRARY_BUILD
setCanonBodyFeatures(unique_id);
if (lenCanonCameraInfo) processCanonCameraInfo(unique_id, CanonCameraInfo);
#endif
}
#ifdef LIBRAW_LIBRARY_BUILD
if(tag == 0x20400805 && len == 2 && !strncasecmp(make,"Olympus",7))
{
imgdata.color.OlympusSensorCalibration[0]=getreal(type);
imgdata.color.OlympusSensorCalibration[1]=getreal(type);
}
if (tag == 0x4001 && len > 500 && !strcasecmp(make,"Canon"))
{
long int save1 = ftell(ifp);
switch (len)
{
case 582:
imgdata.color.canon_makernotes.CanonColorDataVer = 1; // 20D / 350D
break;
case 653:
imgdata.color.canon_makernotes.CanonColorDataVer = 2; // 1Dmk2 / 1DsMK2
break;
case 796:
imgdata.color.canon_makernotes.CanonColorDataVer = 3; // 1DmkIIN / 5D / 30D / 400D
// 1DmkIII / 1DSmkIII / 1DmkIV / 5DmkII
// 7D / 40D / 50D / 60D / 450D / 500D
// 550D / 1000D / 1100D
case 674: case 692: case 702: case 1227: case 1250:
case 1251: case 1337: case 1338: case 1346:
imgdata.color.canon_makernotes.CanonColorDataVer = 4;
imgdata.color.canon_makernotes.CanonColorDataSubVer = get2();
{
fseek (ifp, save1+(0x0e7<<1), SEEK_SET); // offset 231 short
int bls=0;
FORC4 bls+=get2();
imgdata.color.canon_makernotes.AverageBlackLevel = bls/4;
}
if ((imgdata.color.canon_makernotes.CanonColorDataSubVer == 4)
|| (imgdata.color.canon_makernotes.CanonColorDataSubVer == 5))
{
fseek (ifp, save1+(0x2b9<<1), SEEK_SET); // offset 697 shorts
imgdata.color.canon_makernotes.SpecularWhiteLevel = get2();
}
else if ((imgdata.color.canon_makernotes.CanonColorDataSubVer == 6) ||
(imgdata.color.canon_makernotes.CanonColorDataSubVer == 7))
{
fseek (ifp, save1+(0x2d0<<1), SEEK_SET); // offset 720 shorts
imgdata.color.canon_makernotes.SpecularWhiteLevel = get2();
}
else if (imgdata.color.canon_makernotes.CanonColorDataSubVer == 9)
{
fseek (ifp, save1+(0x2d4<<1), SEEK_SET); // offset 724 shorts
imgdata.color.canon_makernotes.SpecularWhiteLevel = get2();
}
break;
case 5120:
imgdata.color.canon_makernotes.CanonColorDataVer = 5; // PowerSot G10
break;
case 1273: case 1275:
imgdata.color.canon_makernotes.CanonColorDataVer = 6; // 600D / 1200D
imgdata.color.canon_makernotes.CanonColorDataSubVer = get2();
{
fseek (ifp, save1+(0x0fb<<1), SEEK_SET); // offset 251 short
int bls=0;
FORC4 bls+=get2();
imgdata.color.canon_makernotes.AverageBlackLevel = bls/4;
}
fseek (ifp, save1+(0x1e4<<1), SEEK_SET); // offset 484 shorts
imgdata.color.canon_makernotes.SpecularWhiteLevel = get2();
break;
// 1DX / 5DmkIII / 6D / 100D / 650D / 700D / M / 7DmkII / 750D / 760D
case 1312: case 1313: case 1316: case 1506:
imgdata.color.canon_makernotes.CanonColorDataVer = 7;
imgdata.color.canon_makernotes.CanonColorDataSubVer = get2();
{
fseek (ifp, save1+(0x114<<1), SEEK_SET); // offset 276 shorts
int bls=0;
FORC4 bls+=get2();
imgdata.color.canon_makernotes.AverageBlackLevel = bls/4;
}
if (imgdata.color.canon_makernotes.CanonColorDataSubVer == 10)
{
fseek (ifp, save1+(0x1fd<<1), SEEK_SET); // offset 509 shorts
imgdata.color.canon_makernotes.SpecularWhiteLevel = get2();
} else if (imgdata.color.canon_makernotes.CanonColorDataSubVer == 11)
{
fseek (ifp, save1+(0x2dd<<1), SEEK_SET); // offset 733 shorts
imgdata.color.canon_makernotes.SpecularWhiteLevel = get2();
}
break;
}
fseek (ifp, save1, SEEK_SET);
}
#endif
if (tag == 0x11 && is_raw && !strncmp(make,"NIKON",5)) {
fseek (ifp, get4()+base, SEEK_SET);
parse_tiff_ifd (base);
}
if (tag == 0x14 && type == 7) {
if (len == 2560) {
fseek (ifp, 1248, SEEK_CUR);
goto get2_256;
}
fread (buf, 1, 10, ifp);
if (!strncmp(buf,"NRW ",4)) {
fseek (ifp, strcmp(buf+4,"0100") ? 46:1546, SEEK_CUR);
cam_mul[0] = get4() << 2;
cam_mul[1] = get4() + get4();
cam_mul[2] = get4() << 2;
}
}
if (tag == 0x15 && type == 2 && is_raw)
fread (model, 64, 1, ifp);
if (strstr(make,"PENTAX")) {
if (tag == 0x1b) tag = 0x1018;
if (tag == 0x1c) tag = 0x1017;
}
if (tag == 0x1d)
while ((c = fgetc(ifp)) && c != EOF)
serial = serial*10 + (isdigit(c) ? c - '0' : c % 10);
if (tag == 0x29 && type == 1) { // Canon PowerShot G9
c = wbi < 18 ? "012347800000005896"[wbi]-'0' : 0;
fseek (ifp, 8 + c*32, SEEK_CUR);
FORC4 cam_mul[c ^ (c >> 1) ^ 1] = get4();
}
#ifndef LIBRAW_LIBRARY_BUILD
// works for some files, but not all
if (tag == 0x3d && type == 3 && len == 4)
FORC4 cblack[c ^ c >> 1] = get2() >> (14-tiff_ifd[2].bps);
#endif
if (tag == 0x81 && type == 4) {
data_offset = get4();
fseek (ifp, data_offset + 41, SEEK_SET);
raw_height = get2() * 2;
raw_width = get2();
filters = 0x61616161;
}
if ((tag == 0x81 && type == 7) ||
(tag == 0x100 && type == 7) ||
(tag == 0x280 && type == 1)) {
thumb_offset = ftell(ifp);
thumb_length = len;
}
if (tag == 0x88 && type == 4 && (thumb_offset = get4()))
thumb_offset += base;
if (tag == 0x89 && type == 4)
thumb_length = get4();
if (tag == 0x8c || tag == 0x96)
meta_offset = ftell(ifp);
if (tag == 0x97) {
for (i=0; i < 4; i++)
ver97 = ver97 * 10 + fgetc(ifp)-'0';
switch (ver97) {
case 100:
fseek (ifp, 68, SEEK_CUR);
FORC4 cam_mul[(c >> 1) | ((c & 1) << 1)] = get2();
break;
case 102:
fseek (ifp, 6, SEEK_CUR);
goto get2_rggb;
case 103:
fseek (ifp, 16, SEEK_CUR);
FORC4 cam_mul[c] = get2();
}
if (ver97 >= 200) {
if (ver97 != 205) fseek (ifp, 280, SEEK_CUR);
fread (buf97, 324, 1, ifp);
}
}
if (tag == 0xa1 && type == 7) {
order = 0x4949;
fseek (ifp, 140, SEEK_CUR);
FORC3 cam_mul[c] = get4();
}
if (tag == 0xa4 && type == 3) {
fseek (ifp, wbi*48, SEEK_CUR);
FORC3 cam_mul[c] = get2();
}
if (tag == 0xa7) { // shutter count
NikonKey = fgetc(ifp)^fgetc(ifp)^fgetc(ifp)^fgetc(ifp);
if ( (unsigned) (ver97-200) < 17) {
ci = xlat[0][serial & 0xff];
cj = xlat[1][NikonKey];
ck = 0x60;
for (i=0; i < 324; i++)
buf97[i] ^= (cj += ci * ck++);
i = "66666>666;6A;:;55"[ver97-200] - '0';
FORC4 cam_mul[c ^ (c >> 1) ^ (i & 1)] =
sget2 (buf97 + (i & -2) + c*2);
}
#ifdef LIBRAW_LIBRARY_BUILD
if ((NikonLensDataVersion > 200) && lenNikonLensData)
{
ci = xlat[0][serial & 0xff];
cj = xlat[1][NikonKey];
ck = 0x60;
for (i = 0; i < lenNikonLensData; i++)
table_buf[i] ^= (cj += ci * ck++);
processNikonLensData(table_buf, lenNikonLensData);
lenNikonLensData = 0;
}
#endif
}
if(tag == 0xb001 && type == 3) // Sony ModelID
{
unique_id = get2();
}
if (tag == 0x200 && len == 3)
shot_order = (get4(),get4());
if (tag == 0x200 && len == 4)
FORC4 cblack[c ^ c >> 1] = get2();
if (tag == 0x201 && len == 4)
goto get2_rggb;
if (tag == 0x220 && type == 7)
meta_offset = ftell(ifp);
if (tag == 0x401 && type == 4 && len == 4)
FORC4 cblack[c ^ c >> 1] = get4();
#ifdef LIBRAW_LIBRARY_BUILD
// not corrected for file bitcount, to be patched in open_datastream
if (tag == 0x03d && strstr(make,"NIKON") && len == 4)
{
FORC4 cblack[c ^ c >> 1] = get2();
i = cblack[3];
FORC3 if(i>cblack[c]) i = cblack[c];
FORC4 cblack[c]-=i;
black += i;
}
#endif
if (tag == 0xe01) { /* Nikon Capture Note */
order = 0x4949;
fseek (ifp, 22, SEEK_CUR);
for (offset=22; offset+22 < len; offset += 22+i) {
tag = get4();
fseek (ifp, 14, SEEK_CUR);
i = get4()-4;
if (tag == 0x76a43207) flip = get2();
else fseek (ifp, i, SEEK_CUR);
}
}
if (tag == 0xe80 && len == 256 && type == 7) {
fseek (ifp, 48, SEEK_CUR);
cam_mul[0] = get2() * 508 * 1.078 / 0x10000;
cam_mul[2] = get2() * 382 * 1.173 / 0x10000;
}
if (tag == 0xf00 && type == 7) {
if (len == 614)
fseek (ifp, 176, SEEK_CUR);
else if (len == 734 || len == 1502)
fseek (ifp, 148, SEEK_CUR);
else goto next;
goto get2_256;
}
if ((tag == 0x1011 && len == 9) || tag == 0x20400200)
{
if(!strncasecmp(make,"Olympus", 7))
{
int j,k;
for (i=0; i < 3; i++)
FORC3 adobe_cam[i][c] = ((short) get2()) / 256.0;
for (i=0; i < 3; i++)
for (j=0; j < 3; j++)
for (cmatrix[i][j] = k=0; k < 3; k++)
cmatrix[i][j] += rgb_adobe[i][k] * adobe_cam[k][j];
}
else
for (i=0; i < 3; i++)
FORC3 cmatrix[i][c] = ((short) get2()) / 256.0;
}
if ((tag == 0x1012 || tag == 0x20400600) && len == 4)
FORC4 cblack[c ^ c >> 1] = get2();
if (tag == 0x1017 || tag == 0x20400100)
cam_mul[0] = get2() / 256.0;
if (tag == 0x1018 || tag == 0x20400100)
cam_mul[2] = get2() / 256.0;
if (tag == 0x2011 && len == 2) {
get2_256:
order = 0x4d4d;
cam_mul[0] = get2() / 256.0;
cam_mul[2] = get2() / 256.0;
}
if ((tag | 0x70) == 0x2070 && (type == 4 || type == 13))
fseek (ifp, get4()+base, SEEK_SET);
if (tag == 0x2020)
parse_thumb_note (base, 257, 258);
if (tag == 0x2040)
parse_makernote (base, 0x2040);
#ifdef LIBRAW_LIBRARY_BUILD
// IB start
if (tag == 0x2010)
{
parse_makernote(base, 0x2010);
}
// IB end
#endif
if (tag == 0xb028) {
fseek (ifp, get4()+base, SEEK_SET);
parse_thumb_note (base, 136, 137);
}
if (tag == 0x4001 && len > 500) {
i = len == 582 ? 50 : len == 653 ? 68 : len == 5120 ? 142 : 126;
fseek (ifp, i, SEEK_CUR);
get2_rggb:
FORC4 cam_mul[c ^ (c >> 1)] = get2();
i = len >> 3 == 164 || len == 1506 ? 112:22;
fseek (ifp, i, SEEK_CUR);
FORC4 sraw_mul[c ^ (c >> 1)] = get2();
}
if(!strcasecmp(make,"Samsung"))
{
if (tag == 0xa020) // get the full Samsung encryption key
for (i=0; i<11; i++) SamsungKey[i] = get4();
if (tag == 0xa021) // get and decode Samsung cam_mul array
FORC4 cam_mul[c ^ (c >> 1)] = get4() - SamsungKey[c];
if (tag == 0xa030 && len == 9) // get and decode Samsung color matrix
for (i=0; i < 3; i++)
FORC3 cmatrix[i][c] = (short)((get4() + SamsungKey[i*3+c]))/256.0;
if (tag == 0xa028)
FORC4 cblack[c ^ (c >> 1)] = get4() - SamsungKey[c];
}
else
{
// Somebody else use 0xa021 and 0xa028?
if (tag == 0xa021)
FORC4 cam_mul[c ^ (c >> 1)] = get4();
if (tag == 0xa028)
FORC4 cam_mul[c ^ (c >> 1)] -= get4();
}
if (tag == 0x4021 && get4() && get4())
FORC4 cam_mul[c] = 1024;
next:
fseek (ifp, save, SEEK_SET);
}
quit:
order = sorder;
}
/*
Since the TIFF DateTime string has no timezone information,
assume that the camera's clock was set to Universal Time.
*/
void CLASS get_timestamp (int reversed)
{
struct tm t;
char str[20];
int i;
str[19] = 0;
if (reversed)
for (i=19; i--; ) str[i] = fgetc(ifp);
else
fread (str, 19, 1, ifp);
memset (&t, 0, sizeof t);
if (sscanf (str, "%d:%d:%d %d:%d:%d", &t.tm_year, &t.tm_mon,
&t.tm_mday, &t.tm_hour, &t.tm_min, &t.tm_sec) != 6)
return;
t.tm_year -= 1900;
t.tm_mon -= 1;
t.tm_isdst = -1;
if (mktime(&t) > 0)
timestamp = mktime(&t);
}
void CLASS parse_exif (int base)
{
unsigned kodak, entries, tag, type, len, save, c;
double expo,ape;
kodak = !strncmp(make,"EASTMAN",7) && tiff_nifds < 3;
entries = get2();
if(!strcmp(make,"Hasselblad") && (tiff_nifds > 3) && (entries > 512)) return;
// printf("\n*** in parse_exif, make: =%s= model: =%s=", make, model);
while (entries--) {
tiff_get (base, &tag, &type, &len, &save);
// printf("\n\ttag: %x", tag);
#ifdef LIBRAW_LIBRARY_BUILD
if(callbacks.exif_cb)
{
int savepos = ftell(ifp);
callbacks.exif_cb(callbacks.exifparser_data,tag,type,len,order,ifp);
fseek(ifp,savepos,SEEK_SET);
}
#endif
switch (tag) {
#ifdef LIBRAW_LIBRARY_BUILD
case 0xa405: // FocalLengthIn35mmFormat
imgdata.lens.FocalLengthIn35mmFormat = get2();
break;
case 0xa432: // LensInfo, 42034dec, Lens Specification per EXIF standard
imgdata.lens.MinFocal = getreal(type);
imgdata.lens.MaxFocal = getreal(type);
imgdata.lens.MaxAp4MinFocal = getreal(type);
imgdata.lens.MaxAp4MaxFocal = getreal(type);
break;
case 0xc630: // DNG LensInfo, Lens Specification per EXIF standard
imgdata.lens.dng.MinFocal = getreal(type);
imgdata.lens.dng.MaxFocal = getreal(type);
imgdata.lens.dng.MaxAp4MinFocal = getreal(type);
imgdata.lens.dng.MaxAp4MaxFocal = getreal(type);
break;
case 0xa433: // LensMake
fread(imgdata.lens.LensMake, MIN(len,sizeof(imgdata.lens.LensMake)), 1, ifp);
break;
case 0xa434: // LensModel
fread(imgdata.lens.Lens, MIN(len, sizeof(imgdata.lens.LensMake)), 1, ifp);
if (!strncmp(imgdata.lens.Lens, "----", 4))
imgdata.lens.Lens[0] = 0;
break;
case 0x9205:
imgdata.lens.EXIF_MaxAp = powf64(2.0f, (getreal(type) / 2.0f));
break;
#endif
case 33434: shutter = getreal(type); break;
case 33437: aperture = getreal(type); break;
case 34855: iso_speed = get2(); break;
case 34866:
if (iso_speed == 0xffff && (!strcasecmp(make, "SONY") || !strcasecmp(make, "CANON")))
iso_speed = getreal(type);
break;
case 36867:
case 36868: get_timestamp(0); break;
case 37377: if ((expo = -getreal(type)) < 128 && shutter == 0.)
shutter = powf64(2.0, expo); break;
case 37378:
if (fabs(ape = getreal(type))<256.0)
aperture = powf64(2.0, ape/2);
break;
case 37385: flash_used = getreal(type); break;
case 37386: focal_len = getreal(type); break;
case 37500: parse_makernote (base, 0); break; // tag 0x927c
case 40962: if (kodak) raw_width = get4(); break;
case 40963: if (kodak) raw_height = get4(); break;
case 41730:
if (get4() == 0x20002)
for (exif_cfa=c=0; c < 8; c+=2)
exif_cfa |= fgetc(ifp) * 0x01010101 << c;
}
fseek (ifp, save, SEEK_SET);
}
}
#ifdef LIBRAW_LIBRARY_BUILD
void CLASS parse_gps_libraw(int base)
{
unsigned entries, tag, type, len, save, c;
entries = get2();
if (entries > 0)
imgdata.other.parsed_gps.gpsparsed = 1;
while (entries--) {
tiff_get(base, &tag, &type, &len, &save);
switch (tag) {
case 1: imgdata.other.parsed_gps.latref = getc(ifp); break;
case 3: imgdata.other.parsed_gps.longref = getc(ifp); break;
case 5: imgdata.other.parsed_gps.altref = getc(ifp); break;
case 2:
if (len == 3)
FORC(3) imgdata.other.parsed_gps.latitude[c] = getreal(type);
break;
case 4:
if (len == 3)
FORC(3) imgdata.other.parsed_gps.longtitude[c] = getreal(type);
break;
case 7:
if (len == 3)
FORC(3) imgdata.other.parsed_gps.gpstimestamp[c] = getreal(type);
break;
case 6:
imgdata.other.parsed_gps.altitude = getreal(type);
break;
case 9: imgdata.other.parsed_gps.gpsstatus = getc(ifp); break;
}
fseek(ifp, save, SEEK_SET);
}
}
#endif
void CLASS parse_gps (int base)
{
unsigned entries, tag, type, len, save, c;
entries = get2();
while (entries--) {
tiff_get (base, &tag, &type, &len, &save);
switch (tag) {
case 1: case 3: case 5:
gpsdata[29+tag/2] = getc(ifp); break;
case 2: case 4: case 7:
FORC(6) gpsdata[tag/3*6+c] = get4(); break;
case 6:
FORC(2) gpsdata[18+c] = get4(); break;
case 18: case 29:
fgets ((char *) (gpsdata+14+tag/3), MIN(len,12), ifp);
}
fseek (ifp, save, SEEK_SET);
}
}
void CLASS romm_coeff (float romm_cam[3][3])
{
static const float rgb_romm[3][3] = /* ROMM == Kodak ProPhoto */
{ { 2.034193, -0.727420, -0.306766 },
{ -0.228811, 1.231729, -0.002922 },
{ -0.008565, -0.153273, 1.161839 } };
int i, j, k;
for (i=0; i < 3; i++)
for (j=0; j < 3; j++)
for (cmatrix[i][j] = k=0; k < 3; k++)
cmatrix[i][j] += rgb_romm[i][k] * romm_cam[k][j];
#ifdef LIBRAW_LIBRARY_BUILD
imgdata.color.digitalBack_color=1;
#endif
}
void CLASS parse_mos (int offset)
{
char data[40];
int skip, from, i, c, neut[4], planes=0, frot=0;
static const char *mod[] =
{ "","DCB2","Volare","Cantare","CMost","Valeo 6","Valeo 11","Valeo 22",
"Valeo 11p","Valeo 17","","Aptus 17","Aptus 22","Aptus 75","Aptus 65",
"Aptus 54S","Aptus 65S","Aptus 75S","AFi 5","AFi 6","AFi 7",
"Aptus-II 7","","","Aptus-II 6","","","Aptus-II 10","Aptus-II 5",
"","","","","Aptus-II 10R","Aptus-II 8","","Aptus-II 12","","AFi-II 12" };
float romm_cam[3][3];
fseek (ifp, offset, SEEK_SET);
while (1) {
if (get4() != 0x504b5453) break;
get4();
fread (data, 1, 40, ifp);
skip = get4();
from = ftell(ifp);
// IB start
#ifdef LIBRAW_LIBRARY_BUILD
if (!strcmp(data,"CameraObj_camera_type")) {
fread(imgdata.lens.makernotes.body, skip, 1, ifp);
}
#endif
// IB end
if (!strcmp(data,"JPEG_preview_data")) {
thumb_offset = from;
thumb_length = skip;
}
if (!strcmp(data,"icc_camera_profile")) {
profile_offset = from;
profile_length = skip;
}
if (!strcmp(data,"ShootObj_back_type")) {
fscanf (ifp, "%d", &i);
if ((unsigned) i < sizeof mod / sizeof (*mod))
strcpy (model, mod[i]);
}
if (!strcmp(data,"icc_camera_to_tone_matrix")) {
for (i=0; i < 9; i++)
romm_cam[0][i] = int_to_float(get4());
romm_coeff (romm_cam);
}
if (!strcmp(data,"CaptProf_color_matrix")) {
for (i=0; i < 9; i++)
fscanf (ifp, "%f", &romm_cam[0][i]);
romm_coeff (romm_cam);
}
if (!strcmp(data,"CaptProf_number_of_planes"))
fscanf (ifp, "%d", &planes);
if (!strcmp(data,"CaptProf_raw_data_rotation"))
fscanf (ifp, "%d", &flip);
if (!strcmp(data,"CaptProf_mosaic_pattern"))
FORC4 {
fscanf (ifp, "%d", &i);
if (i == 1) frot = c ^ (c >> 1);
}
if (!strcmp(data,"ImgProf_rotation_angle")) {
fscanf (ifp, "%d", &i);
flip = i - flip;
}
if (!strcmp(data,"NeutObj_neutrals") && !cam_mul[0]) {
FORC4 fscanf (ifp, "%d", neut+c);
FORC3 cam_mul[c] = (float) neut[0] / neut[c+1];
}
if (!strcmp(data,"Rows_data"))
load_flags = get4();
parse_mos (from);
fseek (ifp, skip+from, SEEK_SET);
}
if (planes)
filters = (planes == 1) * 0x01010101 *
(uchar) "\x94\x61\x16\x49"[(flip/90 + frot) & 3];
}
void CLASS linear_table (unsigned len)
{
int i;
if (len > 0x10000) len = 0x10000;
read_shorts (curve, len);
for (i=len; i < 0x10000; i++)
curve[i] = curve[i-1];
maximum = curve[len<0x1000?0xfff:len-1];
}
#ifdef LIBRAW_LIBRARY_BUILD
/* Thanks to Alexey Danilchenko for wb as-shot parsing code */
void CLASS parse_kodak_ifd (int base)
{
unsigned entries, tag, type, len, save;
int i, c, wbi=-2;
float mul[3]={1,1,1}, num;
static const int wbtag[] = { 64037,64040,64039,64041,-1,-1,64042 };
entries = get2();
if (entries > 1024) return;
while (entries--) {
tiff_get (base, &tag, &type, &len, &save);
#ifdef LIBRAW_LIBRARY_BUILD
if(callbacks.exif_cb)
{
int savepos = ftell(ifp);
callbacks.exif_cb(callbacks.exifparser_data,tag | 0x20000,type,len,order,ifp);
fseek(ifp,savepos,SEEK_SET);
}
#endif
if (tag == 1020) wbi = getint(type);
if (tag == 1021 && len == 72) { /* WB set in software */
fseek (ifp, 40, SEEK_CUR);
FORC3 cam_mul[c] = 2048.0 / get2();
wbi = -2;
}
if (tag == 2120 + wbi ||
(wbi<0 && tag == 2125)) /* use Auto WB if illuminant index is not set */
{
FORC3 mul[c] = (num=getreal(type))==0 ? 1 : num;
FORC3 cam_mul[c] = mul[1] / mul[c]; /* normalise against green */
}
if (tag == 2317) linear_table (len);
if (tag == 0x903) iso_speed = getreal(type);
//if (tag == 6020) iso_speed = getint(type);
if (tag == 64013) wbi = fgetc(ifp);
if ((unsigned) wbi < 7 && tag == wbtag[wbi])
FORC3 cam_mul[c] = get4();
if (tag == 64019) width = getint(type);
if (tag == 64020) height = (getint(type)+1) & -2;
fseek (ifp, save, SEEK_SET);
}
}
#else
void CLASS parse_kodak_ifd (int base)
{
unsigned entries, tag, type, len, save;
int i, c, wbi=-2, wbtemp=6500;
float mul[3]={1,1,1}, num;
static const int wbtag[] = { 64037,64040,64039,64041,-1,-1,64042 };
entries = get2();
if (entries > 1024) return;
while (entries--) {
tiff_get (base, &tag, &type, &len, &save);
if (tag == 1020) wbi = getint(type);
if (tag == 1021 && len == 72) { /* WB set in software */
fseek (ifp, 40, SEEK_CUR);
FORC3 cam_mul[c] = 2048.0 / get2();
wbi = -2;
}
if (tag == 2118) wbtemp = getint(type);
if (tag == 2120 + wbi && wbi >= 0)
FORC3 cam_mul[c] = 2048.0 / getreal(type);
if (tag == 2130 + wbi)
FORC3 mul[c] = getreal(type);
if (tag == 2140 + wbi && wbi >= 0)
FORC3 {
for (num=i=0; i < 4; i++)
num += getreal(type) * pow (wbtemp/100.0, i);
cam_mul[c] = 2048 / (num * mul[c]);
}
if (tag == 2317) linear_table (len);
if (tag == 6020) iso_speed = getint(type);
if (tag == 64013) wbi = fgetc(ifp);
if ((unsigned) wbi < 7 && tag == wbtag[wbi])
FORC3 cam_mul[c] = get4();
if (tag == 64019) width = getint(type);
if (tag == 64020) height = (getint(type)+1) & -2;
fseek (ifp, save, SEEK_SET);
}
}
#endif
//@end COMMON
void CLASS parse_minolta (int base);
int CLASS parse_tiff (int base);
//@out COMMON
int CLASS parse_tiff_ifd (int base)
{
unsigned entries, tag, type, len, plen=16, save;
int ifd, use_cm=0, cfa, i, j, c, ima_len=0;
char *cbuf, *cp;
uchar cfa_pat[16], cfa_pc[] = { 0,1,2,3 }, tab[256];
double cc[4][4], cm[4][3], cam_xyz[4][3], num;
double ab[]={ 1,1,1,1 }, asn[] = { 0,0,0,0 }, xyz[] = { 1,1,1 };
unsigned sony_curve[] = { 0,0,0,0,0,4095 };
unsigned *buf, sony_offset=0, sony_length=0, sony_key=0;
struct jhead jh;
int pana_raw = 0;
#ifndef LIBRAW_LIBRARY_BUILD
FILE *sfp;
#endif
if (tiff_nifds >= sizeof tiff_ifd / sizeof tiff_ifd[0])
return 1;
ifd = tiff_nifds++;
for (j=0; j < 4; j++)
for (i=0; i < 4; i++)
cc[j][i] = i == j;
entries = get2();
if (entries > 512) return 1;
while (entries--) {
tiff_get (base, &tag, &type, &len, &save);
// printf ("\n*** parse_tiff_ifd tag: 0x%04x", tag);
#ifdef LIBRAW_LIBRARY_BUILD
if(callbacks.exif_cb)
{
int savepos = ftell(ifp);
callbacks.exif_cb(callbacks.exifparser_data,tag|(pana_raw?0x30000:0),type,len,order,ifp);
fseek(ifp,savepos,SEEK_SET);
}
#endif
switch (tag) {
case 1: if(len==4) pana_raw = get4(); break;
case 5: width = get2(); break;
case 6: height = get2(); break;
case 7: width += get2(); break;
case 9: if ((i = get2())) filters = i;
#ifdef LIBRAW_LIBRARY_BUILD
if(pana_raw && len == 1 && type ==3)
pana_black[3]+=i;
#endif
break;
case 8:
case 10:
#ifdef LIBRAW_LIBRARY_BUILD
if(pana_raw && len == 1 && type ==3)
pana_black[3]+=get2();
#endif
break;
case 17: case 18:
if (type == 3 && len == 1)
cam_mul[(tag-17)*2] = get2() / 256.0;
break;
case 23:
if (type == 3) iso_speed = get2();
break;
case 28: case 29: case 30:
#ifdef LIBRAW_LIBRARY_BUILD
if(pana_raw && len == 1 && type ==3)
{
pana_black[tag-28] = get2();
}
else
#endif
{
cblack[tag-28] = get2();
cblack[3] = cblack[1];
}
break;
case 36: case 37: case 38:
cam_mul[tag-36] = get2();
break;
case 39:
if (len < 50 || cam_mul[0]) break;
fseek (ifp, 12, SEEK_CUR);
FORC3 cam_mul[c] = get2();
break;
case 46:
if (type != 7 || fgetc(ifp) != 0xff || fgetc(ifp) != 0xd8) break;
thumb_offset = ftell(ifp) - 2;
thumb_length = len;
break;
case 61440: /* Fuji HS10 table */
fseek (ifp, get4()+base, SEEK_SET);
parse_tiff_ifd (base);
break;
case 2: case 256: case 61441: /* ImageWidth */
tiff_ifd[ifd].t_width = getint(type);
break;
case 3: case 257: case 61442: /* ImageHeight */
tiff_ifd[ifd].t_height = getint(type);
break;
case 258: /* BitsPerSample */
case 61443:
tiff_ifd[ifd].samples = len & 7;
tiff_ifd[ifd].bps = getint(type);
break;
case 61446:
raw_height = 0;
if (tiff_ifd[ifd].bps > 12) break;
load_raw = &CLASS packed_load_raw;
load_flags = get4() ? 24:80;
break;
case 259: /* Compression */
tiff_ifd[ifd].comp = getint(type);
break;
case 262: /* PhotometricInterpretation */
tiff_ifd[ifd].phint = get2();
break;
case 270: /* ImageDescription */
fread (desc, 512, 1, ifp);
break;
case 271: /* Make */
fgets (make, 64, ifp);
break;
case 272: /* Model */
fgets (model, 64, ifp);
break;
case 280: /* Panasonic RW2 offset */
if (type != 4) break;
load_raw = &CLASS panasonic_load_raw;
load_flags = 0x2008;
case 273: /* StripOffset */
case 513: /* JpegIFOffset */
case 61447:
tiff_ifd[ifd].offset = get4()+base;
if (!tiff_ifd[ifd].bps && tiff_ifd[ifd].offset > 0) {
fseek (ifp, tiff_ifd[ifd].offset, SEEK_SET);
if (ljpeg_start (&jh, 1)) {
tiff_ifd[ifd].comp = 6;
tiff_ifd[ifd].t_width = jh.wide;
tiff_ifd[ifd].t_height = jh.high;
tiff_ifd[ifd].bps = jh.bits;
tiff_ifd[ifd].samples = jh.clrs;
if (!(jh.sraw || (jh.clrs & 1)))
tiff_ifd[ifd].t_width *= jh.clrs;
i = order;
parse_tiff (tiff_ifd[ifd].offset + 12);
order = i;
}
}
break;
case 274: /* Orientation */
tiff_ifd[ifd].t_flip = "50132467"[get2() & 7]-'0';
break;
case 277: /* SamplesPerPixel */
tiff_ifd[ifd].samples = getint(type) & 7;
break;
case 279: /* StripByteCounts */
case 514:
case 61448:
tiff_ifd[ifd].bytes = get4();
break;
case 61454:
FORC3 cam_mul[(4-c) % 3] = getint(type);
break;
case 305: case 11: /* Software */
fgets (software, 64, ifp);
if (!strncmp(software,"Adobe",5) ||
!strncmp(software,"dcraw",5) ||
!strncmp(software,"UFRaw",5) ||
!strncmp(software,"Bibble",6) ||
!strcmp (software,"Digital Photo Professional"))
is_raw = 0;
break;
case 306: /* DateTime */
get_timestamp(0);
break;
case 315: /* Artist */
fread (artist, 64, 1, ifp);
break;
case 322: /* TileWidth */
tiff_ifd[ifd].t_tile_width = getint(type);
break;
case 323: /* TileLength */
tiff_ifd[ifd].t_tile_length = getint(type);
break;
case 324: /* TileOffsets */
tiff_ifd[ifd].offset = len > 1 ? ftell(ifp) : get4();
if (len == 1)
tiff_ifd[ifd].t_tile_width = tiff_ifd[ifd].t_tile_length = 0;
if (len == 4) {
load_raw = &CLASS sinar_4shot_load_raw;
is_raw = 5;
}
break;
#ifdef LIBRAW_LIBRARY_BUILD
case 325: /* TileByteCount */
tiff_ifd[ifd].tile_maxbytes = 0;
for(int jj=0;jj<len;jj++)
{
int s = get4();
if(s > tiff_ifd[ifd].tile_maxbytes) tiff_ifd[ifd].tile_maxbytes=s;
}
break;
#endif
case 330: /* SubIFDs */
if (!strcmp(model,"DSLR-A100") && tiff_ifd[ifd].t_width == 3872) {
load_raw = &CLASS sony_arw_load_raw;
data_offset = get4()+base;
ifd++; break;
}
#ifdef LIBRAW_LIBRARY_BUILD
if (!strcmp(make,"Hasselblad") && libraw_internal_data.unpacker_data.hasselblad_parser_flag) {
fseek (ifp, ftell(ifp)+4, SEEK_SET);
fseek (ifp, get4()+base, SEEK_SET);
parse_tiff_ifd (base);
break;
}
#endif
if(len > 1000) len=1000; /* 1000 SubIFDs is enough */
while (len--) {
i = ftell(ifp);
fseek (ifp, get4()+base, SEEK_SET);
if (parse_tiff_ifd (base)) break;
fseek (ifp, i+4, SEEK_SET);
}
break;
case 400:
strcpy (make, "Sarnoff");
maximum = 0xfff;
break;
#ifdef LIBRAW_LIBRARY_BUILD
case 700:
if((type == 1 || type == 2 || type == 6 || type == 7) && len > 1 && len < 5100000)
{
xmpdata = (char*)malloc(xmplen = len+1);
fread(xmpdata,len,1,ifp);
xmpdata[len]=0;
}
break;
#endif
case 28688:
FORC4 sony_curve[c+1] = get2() >> 2 & 0xfff;
for (i=0; i < 5; i++)
for (j = sony_curve[i]+1; j <= sony_curve[i+1]; j++)
curve[j] = curve[j-1] + (1 << i);
break;
case 29184: sony_offset = get4(); break;
case 29185: sony_length = get4(); break;
case 29217: sony_key = get4(); break;
case 29264:
parse_minolta (ftell(ifp));
raw_width = 0;
break;
case 29443:
FORC4 cam_mul[c ^ (c < 2)] = get2();
break;
case 29459:
FORC4 cam_mul[c] = get2();
i = (cam_mul[1] == 1024 && cam_mul[2] == 1024) << 1;
SWAP (cam_mul[i],cam_mul[i+1])
break;
case 30720: // Sony matrix, Sony_SR2SubIFD_0x7800
for (i=0; i < 3; i++)
FORC3 cmatrix[i][c] = ((short) get2()) / 1024.0;
#ifdef DCRAW_VERBOSE
if (verbose) fprintf (stderr, _(" Sony matrix:\n%f %f %f\n%f %f %f\n%f %f %f\n"), cmatrix[0][0], cmatrix[0][1], cmatrix[0][2], cmatrix[1][0], cmatrix[1][1], cmatrix[1][2], cmatrix[2][0], cmatrix[2][1], cmatrix[2][2]);
#endif
break;
case 29456: // Sony black level, Sony_SR2SubIFD_0x7310, no more needs to be divided by 4
FORC4 cblack[c ^ c >> 1] = get2();
i = cblack[3];
FORC3 if(i>cblack[c]) i = cblack[c];
FORC4 cblack[c]-=i;
black = i;
#ifdef DCRAW_VERBOSE
if (verbose) fprintf (stderr, _("...Sony black: %u cblack: %u %u %u %u\n"),black, cblack[0],cblack[1],cblack[2], cblack[3]);
#endif
break;
case 33405: /* Model2 */
fgets (model2, 64, ifp);
break;
case 33421: /* CFARepeatPatternDim */
if (get2() == 6 && get2() == 6)
filters = 9;
break;
case 33422: /* CFAPattern */
if (filters == 9) {
FORC(36) xtrans[0][c] = fgetc(ifp) & 3;
break;
}
case 64777: /* Kodak P-series */
if(len == 36)
{
filters = 9;
colors = 3;
FORC(36) xtrans[0][c] = fgetc(ifp) & 3;
}
else
{
if ((plen=len) > 16) plen = 16;
fread (cfa_pat, 1, plen, ifp);
for (colors=cfa=i=0; i < plen && colors < 4; i++) {
colors += !(cfa & (1 << cfa_pat[i]));
cfa |= 1 << cfa_pat[i];
}
if (cfa == 070) memcpy (cfa_pc,"\003\004\005",3); /* CMY */
if (cfa == 072) memcpy (cfa_pc,"\005\003\004\001",4); /* GMCY */
goto guess_cfa_pc;
}
break;
case 33424:
case 65024:
fseek (ifp, get4()+base, SEEK_SET);
parse_kodak_ifd (base);
break;
case 33434: /* ExposureTime */
shutter = getreal(type);
break;
case 33437: /* FNumber */
aperture = getreal(type);
break;
#ifdef LIBRAW_LIBRARY_BUILD
// IB start
case 0xa405: // FocalLengthIn35mmFormat
imgdata.lens.FocalLengthIn35mmFormat = get2();
break;
case 0xa432: // LensInfo, 42034dec, Lens Specification per EXIF standard
imgdata.lens.MinFocal = getreal(type);
imgdata.lens.MaxFocal = getreal(type);
imgdata.lens.MaxAp4MinFocal = getreal(type);
imgdata.lens.MaxAp4MaxFocal = getreal(type);
break;
case 0xc630: // DNG LensInfo, Lens Specification per EXIF standard
imgdata.lens.MinFocal = getreal(type);
imgdata.lens.MaxFocal = getreal(type);
imgdata.lens.MaxAp4MinFocal = getreal(type);
imgdata.lens.MaxAp4MaxFocal = getreal(type);
break;
case 0xa433: // LensMake
fread(imgdata.lens.LensMake, MIN(len, sizeof(imgdata.lens.LensMake)), 1, ifp);
break;
case 0xa434: // LensModel
fread(imgdata.lens.Lens, MIN(len, sizeof(imgdata.lens.Lens)), 1, ifp);
if (!strncmp(imgdata.lens.Lens, "----", 4))
imgdata.lens.Lens[0] = 0;
break;
case 0x9205:
imgdata.lens.EXIF_MaxAp = powf64(2.0f, (getreal(type) / 2.0f));
break;
// IB end
#endif
case 34306: /* Leaf white balance */
FORC4 cam_mul[c ^ 1] = 4096.0 / get2();
break;
case 34307: /* Leaf CatchLight color matrix */
fread (software, 1, 7, ifp);
if (strncmp(software,"MATRIX",6)) break;
colors = 4;
for (raw_color = i=0; i < 3; i++) {
FORC4 fscanf (ifp, "%f", &rgb_cam[i][c^1]);
if (!use_camera_wb) continue;
num = 0;
FORC4 num += rgb_cam[i][c];
FORC4 rgb_cam[i][c] /= num;
}
break;
case 34310: /* Leaf metadata */
parse_mos (ftell(ifp));
case 34303:
strcpy (make, "Leaf");
break;
case 34665: /* EXIF tag */
fseek (ifp, get4()+base, SEEK_SET);
parse_exif (base);
break;
case 34853: /* GPSInfo tag */
{
unsigned pos;
fseek(ifp, pos = (get4() + base), SEEK_SET);
parse_gps(base);
#ifdef LIBRAW_LIBRARY_BUILD
fseek(ifp, pos, SEEK_SET);
parse_gps_libraw(base);
#endif
}
break;
case 34675: /* InterColorProfile */
case 50831: /* AsShotICCProfile */
profile_offset = ftell(ifp);
profile_length = len;
break;
case 37122: /* CompressedBitsPerPixel */
kodak_cbpp = get4();
break;
case 37386: /* FocalLength */
focal_len = getreal(type);
break;
case 37393: /* ImageNumber */
shot_order = getint(type);
break;
case 37400: /* old Kodak KDC tag */
for (raw_color = i=0; i < 3; i++) {
getreal(type);
FORC3 rgb_cam[i][c] = getreal(type);
}
break;
case 40976:
strip_offset = get4();
switch (tiff_ifd[ifd].comp) {
case 32770: load_raw = &CLASS samsung_load_raw; break;
case 32772: load_raw = &CLASS samsung2_load_raw; break;
case 32773: load_raw = &CLASS samsung3_load_raw; break;
}
break;
case 46275: /* Imacon tags */
strcpy (make, "Imacon");
data_offset = ftell(ifp);
ima_len = len;
break;
case 46279:
if (!ima_len) break;
fseek (ifp, 38, SEEK_CUR);
case 46274:
fseek (ifp, 40, SEEK_CUR);
raw_width = get4();
raw_height = get4();
left_margin = get4() & 7;
width = raw_width - left_margin - (get4() & 7);
top_margin = get4() & 7;
height = raw_height - top_margin - (get4() & 7);
if (raw_width == 7262 && ima_len == 234317952 ) {
height = 5412;
width = 7216;
left_margin = 7;
filters=0;
} else if (raw_width == 7262) {
height = 5444;
width = 7244;
left_margin = 7;
}
fseek (ifp, 52, SEEK_CUR);
FORC3 cam_mul[c] = getreal(11);
fseek (ifp, 114, SEEK_CUR);
flip = (get2() >> 7) * 90;
if (width * height * 6 == ima_len) {
if (flip % 180 == 90) SWAP(width,height);
raw_width = width;
raw_height = height;
left_margin = top_margin = filters = flip = 0;
}
sprintf (model, "Ixpress %d-Mp", height*width/1000000);
load_raw = &CLASS imacon_full_load_raw;
if (filters) {
if (left_margin & 1) filters = 0x61616161;
load_raw = &CLASS unpacked_load_raw;
}
maximum = 0xffff;
break;
case 50454: /* Sinar tag */
case 50455:
if (!(cbuf = (char *) malloc(len))) break;
fread (cbuf, 1, len, ifp);
for (cp = cbuf-1; cp && cp < cbuf+len; cp = strchr(cp,'\n'))
if (!strncmp (++cp,"Neutral ",8))
sscanf (cp+8, "%f %f %f", cam_mul, cam_mul+1, cam_mul+2);
free (cbuf);
break;
case 50458:
if (!make[0]) strcpy (make, "Hasselblad");
break;
case 50459: /* Hasselblad tag */
#ifdef LIBRAW_LIBRARY_BUILD
libraw_internal_data.unpacker_data.hasselblad_parser_flag=1;
#endif
i = order;
j = ftell(ifp);
c = tiff_nifds;
order = get2();
fseek (ifp, j+(get2(),get4()), SEEK_SET);
parse_tiff_ifd (j);
maximum = 0xffff;
tiff_nifds = c;
order = i;
break;
case 50706: /* DNGVersion */
FORC4 dng_version = (dng_version << 8) + fgetc(ifp);
if (!make[0]) strcpy (make, "DNG");
is_raw = 1;
break;
case 50710: /* CFAPlaneColor */
if (filters == 9) break;
if (len > 4) len = 4;
colors = len;
fread (cfa_pc, 1, colors, ifp);
guess_cfa_pc:
FORCC tab[cfa_pc[c]] = c;
cdesc[c] = 0;
for (i=16; i--; )
filters = filters << 2 | tab[cfa_pat[i % plen]];
filters -= !filters;
break;
case 50711: /* CFALayout */
if (get2() == 2) {
fuji_width = 1;
filters = 0x49494949;
}
break;
case 291:
case 50712: /* LinearizationTable */
linear_table (len);
break;
case 50713: /* BlackLevelRepeatDim */
cblack[4] = get2();
cblack[5] = get2();
if (cblack[4] * cblack[5] > (sizeof(cblack) / sizeof (cblack[0]) - 6))
cblack[4] = cblack[5] = 1;
break;
case 61450:
cblack[4] = cblack[5] = MIN(sqrt((double)len),64);
case 50714: /* BlackLevel */
if((cblack[4] * cblack[5] < 2) && len == 1)
{
black = getreal(type);
}
else if(cblack[4] * cblack[5] <= len)
{
FORC (cblack[4] * cblack[5])
cblack[6+c] = getreal(type);
black = 0;
}
break;
case 50715: /* BlackLevelDeltaH */
case 50716: /* BlackLevelDeltaV */
for (num=i=0; i < len && i < 65536; i++)
num += getreal(type);
black += num/len + 0.5;
break;
case 50717: /* WhiteLevel */
maximum = getint(type);
break;
case 50718: /* DefaultScale */
pixel_aspect = getreal(type);
pixel_aspect /= getreal(type);
if(pixel_aspect > 0.995 && pixel_aspect < 1.005)
pixel_aspect = 1.0;
break;
#ifdef LIBRAW_LIBRARY_BUILD
case 50778:
imgdata.color.dng_color[0].illuminant = get2();
break;
case 50779:
imgdata.color.dng_color[1].illuminant = get2();
break;
#endif
case 50721: /* ColorMatrix1 */
case 50722: /* ColorMatrix2 */
#ifdef LIBRAW_LIBRARY_BUILD
i = tag == 50721?0:1;
#endif
FORCC for (j=0; j < 3; j++)
{
#ifdef LIBRAW_LIBRARY_BUILD
imgdata.color.dng_color[i].colormatrix[c][j]=
#endif
cm[c][j] = getreal(type);
}
use_cm = 1;
break;
case 50723: /* CameraCalibration1 */
case 50724: /* CameraCalibration2 */
#ifdef LIBRAW_LIBRARY_BUILD
j = tag == 50723?0:1;
#endif
for (i=0; i < colors; i++)
FORCC
{
#ifdef LIBRAW_LIBRARY_BUILD
imgdata.color.dng_color[j].calibration[i][c]=
#endif
cc[i][c] = getreal(type);
}
break;
case 50727: /* AnalogBalance */
FORCC ab[c] = getreal(type);
break;
case 50728: /* AsShotNeutral */
FORCC asn[c] = getreal(type);
break;
case 50729: /* AsShotWhiteXY */
xyz[0] = getreal(type);
xyz[1] = getreal(type);
xyz[2] = 1 - xyz[0] - xyz[1];
FORC3 xyz[c] /= d65_white[c];
break;
#ifdef LIBRAW_LIBRARY_BUILD
case 50730: /* DNG: Baseline Exposure */
baseline_exposure = getreal(type);
break;
#endif
// IB start
case 50740: /* tag 0xc634 : DNG Adobe, DNG Pentax, Sony SR2, DNG Private */
{
char mbuf[64];
unsigned short makernote_found = 0;
unsigned curr_pos, start_pos = ftell(ifp);
unsigned MakN_order, m_sorder = order;
unsigned MakN_length;
unsigned pos_in_original_raw;
fread(mbuf, 1, 6, ifp);
if (!strcmp(mbuf, "Adobe")) {
order = 0x4d4d; // Adobe header is always in "MM" / big endian
curr_pos = start_pos + 6;
while (curr_pos + 8 - start_pos <= len)
{
fread(mbuf, 1, 4, ifp);
curr_pos += 8;
if (!strncmp(mbuf, "MakN", 4)) {
makernote_found = 1;
MakN_length = get4();
MakN_order = get2();
pos_in_original_raw = get4();
order = MakN_order;
parse_makernote_0xc634(curr_pos + 6 - pos_in_original_raw, 0, AdobeDNG);
break;
}
}
}
else {
fread(mbuf + 6, 1, 2, ifp);
if (!strcmp(mbuf, "PENTAX ") ||
!strcmp(mbuf, "SAMSUNG"))
{
makernote_found = 1;
fseek(ifp, start_pos, SEEK_SET);
parse_makernote_0xc634(base, 0, CameraDNG);
}
}
if (!makernote_found) fseek(ifp, start_pos, SEEK_SET);
order = m_sorder;
}
// IB end
if (dng_version) break;
parse_minolta (j = get4()+base);
fseek (ifp, j, SEEK_SET);
parse_tiff_ifd (base);
break;
case 50752:
read_shorts (cr2_slice, 3);
break;
case 50829: /* ActiveArea */
top_margin = getint(type);
left_margin = getint(type);
height = getint(type) - top_margin;
width = getint(type) - left_margin;
break;
case 50830: /* MaskedAreas */
for (i=0; i < len && i < 32; i++)
mask[0][i] = getint(type);
black = 0;
break;
case 51009: /* OpcodeList2 */
meta_offset = ftell(ifp);
break;
case 64772: /* Kodak P-series */
if (len < 13) break;
fseek (ifp, 16, SEEK_CUR);
data_offset = get4();
fseek (ifp, 28, SEEK_CUR);
data_offset += get4();
load_raw = &CLASS packed_load_raw;
break;
case 65026:
if (type == 2) fgets (model2, 64, ifp);
}
fseek (ifp, save, SEEK_SET);
}
if (sony_length && (buf = (unsigned *) malloc(sony_length))) {
fseek (ifp, sony_offset, SEEK_SET);
fread (buf, sony_length, 1, ifp);
sony_decrypt (buf, sony_length/4, 1, sony_key);
#ifndef LIBRAW_LIBRARY_BUILD
sfp = ifp;
if ((ifp = tmpfile())) {
fwrite (buf, sony_length, 1, ifp);
fseek (ifp, 0, SEEK_SET);
parse_tiff_ifd (-sony_offset);
fclose (ifp);
}
ifp = sfp;
#else
if( !ifp->tempbuffer_open(buf,sony_length))
{
parse_tiff_ifd(-sony_offset);
ifp->tempbuffer_close();
}
#endif
free (buf);
}
for (i=0; i < colors; i++)
FORCC cc[i][c] *= ab[i];
if (use_cm) {
FORCC for (i=0; i < 3; i++)
for (cam_xyz[c][i]=j=0; j < colors; j++)
cam_xyz[c][i] += cc[c][j] * cm[j][i] * xyz[i];
cam_xyz_coeff (cmatrix, cam_xyz);
}
if (asn[0]) {
cam_mul[3] = 0;
FORCC cam_mul[c] = 1 / asn[c];
}
if (!use_cm)
FORCC pre_mul[c] /= cc[c][c];
return 0;
}
int CLASS parse_tiff (int base)
{
int doff;
fseek (ifp, base, SEEK_SET);
order = get2();
if (order != 0x4949 && order != 0x4d4d) return 0;
get2();
while ((doff = get4())) {
fseek (ifp, doff+base, SEEK_SET);
if (parse_tiff_ifd (base)) break;
}
return 1;
}
void CLASS apply_tiff()
{
int max_samp=0, raw=-1, thm=-1, i;
struct jhead jh;
thumb_misc = 16;
if (thumb_offset) {
fseek (ifp, thumb_offset, SEEK_SET);
if (ljpeg_start (&jh, 1)) {
if((unsigned)jh.bits<17 && (unsigned)jh.wide < 0x10000 && (unsigned)jh.high < 0x10000)
{
thumb_misc = jh.bits;
thumb_width = jh.wide;
thumb_height = jh.high;
}
}
}
for (i=0; i < tiff_nifds; i++) {
if (max_samp < tiff_ifd[i].samples)
max_samp = tiff_ifd[i].samples;
if (max_samp > 3) max_samp = 3;
if ((tiff_ifd[i].comp != 6 || tiff_ifd[i].samples != 3) &&
unsigned(tiff_ifd[i].t_width | tiff_ifd[i].t_height) < 0x10000 &&
(unsigned)tiff_ifd[i].bps < 33 && (unsigned)tiff_ifd[i].samples < 13 &&
tiff_ifd[i].t_width*tiff_ifd[i].t_height > raw_width*raw_height) {
raw_width = tiff_ifd[i].t_width;
raw_height = tiff_ifd[i].t_height;
tiff_bps = tiff_ifd[i].bps;
tiff_compress = tiff_ifd[i].comp;
data_offset = tiff_ifd[i].offset;
tiff_flip = tiff_ifd[i].t_flip;
tiff_samples = tiff_ifd[i].samples;
tile_width = tiff_ifd[i].t_tile_width;
tile_length = tiff_ifd[i].t_tile_length;
#ifdef LIBRAW_LIBRARY_BUILD
data_size = tile_length < INT_MAX && tile_length>0 ? tiff_ifd[i].tile_maxbytes: tiff_ifd[i].bytes;
#endif
raw = i;
}
}
if (!tile_width ) tile_width = INT_MAX;
if (!tile_length) tile_length = INT_MAX;
for (i=tiff_nifds; i--; )
if (tiff_ifd[i].t_flip) tiff_flip = tiff_ifd[i].t_flip;
if (raw >= 0 && !load_raw)
switch (tiff_compress) {
case 32767:
if (tiff_ifd[raw].bytes == raw_width*raw_height) {
tiff_bps = 12;
load_raw = &CLASS sony_arw2_load_raw; break;
}
if (tiff_ifd[raw].bytes*8 != raw_width*raw_height*tiff_bps) {
raw_height += 8;
load_raw = &CLASS sony_arw_load_raw; break;
}
load_flags = 79;
case 32769:
load_flags++;
case 32770:
case 32773: goto slr;
case 0: case 1:
#ifdef LIBRAW_LIBRARY_BUILD
if(!strcasecmp(make,"Nikon") && !strncmp(software,"Nikon Scan",10))
{
load_raw = &CLASS nikon_coolscan_load_raw;
raw_color = 1;
filters = 0;
break;
}
#endif
if (!strncmp(make,"OLYMPUS",7) &&
tiff_ifd[raw].bytes*2 == raw_width*raw_height*3)
load_flags = 24;
if (tiff_ifd[raw].bytes*5 == raw_width*raw_height*8) {
load_flags = 81;
tiff_bps = 12;
} slr:
switch (tiff_bps) {
case 8: load_raw = &CLASS eight_bit_load_raw; break;
case 12: if (tiff_ifd[raw].phint == 2)
load_flags = 6;
load_raw = &CLASS packed_load_raw; break;
case 14: load_flags = 0;
case 16: load_raw = &CLASS unpacked_load_raw;
if (!strncmp(make,"OLYMPUS",7) &&
tiff_ifd[raw].bytes*7 > raw_width*raw_height)
load_raw = &CLASS olympus_load_raw;
}
break;
case 6: case 7: case 99:
load_raw = &CLASS lossless_jpeg_load_raw; break;
case 262:
load_raw = &CLASS kodak_262_load_raw; break;
case 34713:
if ((raw_width+9)/10*16*raw_height == tiff_ifd[raw].bytes) {
load_raw = &CLASS packed_load_raw;
load_flags = 1;
} else if (raw_width*raw_height*3 == tiff_ifd[raw].bytes*2) {
load_raw = &CLASS packed_load_raw;
if (model[0] == 'N') load_flags = 80;
} else if (raw_width*raw_height*3 == tiff_ifd[raw].bytes) {
load_raw = &CLASS nikon_yuv_load_raw;
gamma_curve (1/2.4, 12.92, 1, 4095);
memset (cblack, 0, sizeof cblack);
filters = 0;
} else if (raw_width*raw_height*2 == tiff_ifd[raw].bytes) {
load_raw = &CLASS unpacked_load_raw;
load_flags = 4;
order = 0x4d4d;
} else
#ifdef LIBRAW_LIBRARY_BUILD
if(raw_width*raw_height*3 == tiff_ifd[raw].bytes*2)
{
load_raw = &CLASS packed_load_raw;
load_flags=80;
}
else
#endif
load_raw = &CLASS nikon_load_raw; break;
case 65535:
load_raw = &CLASS pentax_load_raw; break;
case 65000:
switch (tiff_ifd[raw].phint) {
case 2: load_raw = &CLASS kodak_rgb_load_raw; filters = 0; break;
case 6: load_raw = &CLASS kodak_ycbcr_load_raw; filters = 0; break;
case 32803: load_raw = &CLASS kodak_65000_load_raw;
}
case 32867: case 34892: break;
default: is_raw = 0;
}
if (!dng_version)
if ( ((tiff_samples == 3 && tiff_ifd[raw].bytes && tiff_bps != 14 &&
(tiff_compress & -16) != 32768)
|| (tiff_bps == 8 && !strcasestr(make,"Kodak") &&
!strstr(model2,"DEBUG RAW")))
&& strncmp(software,"Nikon Scan",10))
is_raw = 0;
for (i=0; i < tiff_nifds; i++)
if (i != raw && tiff_ifd[i].samples == max_samp &&
tiff_ifd[i].bps>0 && tiff_ifd[i].bps < 33 &&
unsigned(tiff_ifd[i].t_width | tiff_ifd[i].t_height) < 0x10000 &&
tiff_ifd[i].t_width * tiff_ifd[i].t_height / (SQR(tiff_ifd[i].bps)+1) >
thumb_width * thumb_height / (SQR(thumb_misc)+1)
&& tiff_ifd[i].comp != 34892) {
thumb_width = tiff_ifd[i].t_width;
thumb_height = tiff_ifd[i].t_height;
thumb_offset = tiff_ifd[i].offset;
thumb_length = tiff_ifd[i].bytes;
thumb_misc = tiff_ifd[i].bps;
thm = i;
}
if (thm >= 0) {
thumb_misc |= tiff_ifd[thm].samples << 5;
switch (tiff_ifd[thm].comp) {
case 0:
write_thumb = &CLASS layer_thumb;
break;
case 1:
if (tiff_ifd[thm].bps <= 8)
write_thumb = &CLASS ppm_thumb;
else if (!strcmp(make,"Imacon"))
write_thumb = &CLASS ppm16_thumb;
else
thumb_load_raw = &CLASS kodak_thumb_load_raw;
break;
case 65000:
thumb_load_raw = tiff_ifd[thm].phint == 6 ?
&CLASS kodak_ycbcr_load_raw : &CLASS kodak_rgb_load_raw;
}
}
}
void CLASS parse_minolta (int base)
{
int save, tag, len, offset, high=0, wide=0, i, c;
short sorder=order;
fseek (ifp, base, SEEK_SET);
if (fgetc(ifp) || fgetc(ifp)-'M' || fgetc(ifp)-'R') return;
order = fgetc(ifp) * 0x101;
offset = base + get4() + 8;
while ((save=ftell(ifp)) < offset) {
for (tag=i=0; i < 4; i++)
tag = tag << 8 | fgetc(ifp);
len = get4();
switch (tag) {
case 0x505244: /* PRD */
fseek (ifp, 8, SEEK_CUR);
high = get2();
wide = get2();
break;
case 0x574247: /* WBG */
get4();
i = strcmp(model,"DiMAGE A200") ? 0:3;
FORC4 cam_mul[c ^ (c >> 1) ^ i] = get2();
break;
case 0x545457: /* TTW */
parse_tiff (ftell(ifp));
data_offset = offset;
}
fseek (ifp, save+len+8, SEEK_SET);
}
raw_height = high;
raw_width = wide;
order = sorder;
}
/*
Many cameras have a "debug mode" that writes JPEG and raw
at the same time. The raw file has no header, so try to
to open the matching JPEG file and read its metadata.
*/
void CLASS parse_external_jpeg()
{
const char *file, *ext;
char *jname, *jfile, *jext;
#ifndef LIBRAW_LIBRARY_BUILD
FILE *save=ifp;
#else
#if defined(_WIN32) && !defined(__MINGW32__) && defined(_MSC_VER) && (_MSC_VER > 1310)
if(ifp->wfname())
{
std::wstring rawfile(ifp->wfname());
rawfile.replace(rawfile.length()-3,3,L"JPG");
if(!ifp->subfile_open(rawfile.c_str()))
{
parse_tiff (12);
thumb_offset = 0;
is_raw = 1;
ifp->subfile_close();
}
else
imgdata.process_warnings |= LIBRAW_WARN_NO_METADATA ;
return;
}
#endif
if(!ifp->fname())
{
imgdata.process_warnings |= LIBRAW_WARN_NO_METADATA ;
return;
}
#endif
ext = strrchr (ifname, '.');
file = strrchr (ifname, '/');
if (!file) file = strrchr (ifname, '\\');
#ifndef LIBRAW_LIBRARY_BUILD
if (!file) file = ifname-1;
#else
if (!file) file = (char*)ifname-1;
#endif
file++;
if (!ext || strlen(ext) != 4 || ext-file != 8) return;
jname = (char *) malloc (strlen(ifname) + 1);
merror (jname, "parse_external_jpeg()");
strcpy (jname, ifname);
jfile = file - ifname + jname;
jext = ext - ifname + jname;
if (strcasecmp (ext, ".jpg")) {
strcpy (jext, isupper(ext[1]) ? ".JPG":".jpg");
if (isdigit(*file)) {
memcpy (jfile, file+4, 4);
memcpy (jfile+4, file, 4);
}
} else
while (isdigit(*--jext)) {
if (*jext != '9') {
(*jext)++;
break;
}
*jext = '0';
}
#ifndef LIBRAW_LIBRARY_BUILD
if (strcmp (jname, ifname)) {
if ((ifp = fopen (jname, "rb"))) {
#ifdef DCRAW_VERBOSE
if (verbose)
fprintf (stderr,_("Reading metadata from %s ...\n"), jname);
#endif
parse_tiff (12);
thumb_offset = 0;
is_raw = 1;
fclose (ifp);
}
}
#else
if (strcmp (jname, ifname))
{
if(!ifp->subfile_open(jname))
{
parse_tiff (12);
thumb_offset = 0;
is_raw = 1;
ifp->subfile_close();
}
else
imgdata.process_warnings |= LIBRAW_WARN_NO_METADATA ;
}
#endif
if (!timestamp)
{
#ifdef LIBRAW_LIBRARY_BUILD
imgdata.process_warnings |= LIBRAW_WARN_NO_METADATA ;
#endif
#ifdef DCRAW_VERBOSE
fprintf (stderr,_("Failed to read metadata from %s\n"), jname);
#endif
}
free (jname);
#ifndef LIBRAW_LIBRARY_BUILD
ifp = save;
#endif
}
/*
CIFF block 0x1030 contains an 8x8 white sample.
Load this into white[][] for use in scale_colors().
*/
void CLASS ciff_block_1030()
{
static const ushort key[] = { 0x410, 0x45f3 };
int i, bpp, row, col, vbits=0;
unsigned long bitbuf=0;
if ((get2(),get4()) != 0x80008 || !get4()) return;
bpp = get2();
if (bpp != 10 && bpp != 12) return;
for (i=row=0; row < 8; row++)
for (col=0; col < 8; col++) {
if (vbits < bpp) {
bitbuf = bitbuf << 16 | (get2() ^ key[i++ & 1]);
vbits += 16;
}
white[row][col] =
bitbuf << (LONG_BIT - vbits) >> (LONG_BIT - bpp);
vbits -= bpp;
}
}
/*
Parse a CIFF file, better known as Canon CRW format.
*/
void CLASS parse_ciff (int offset, int length, int depth)
{
int tboff, nrecs, c, type, len, save, wbi=-1;
ushort key[] = { 0x410, 0x45f3 };
fseek (ifp, offset+length-4, SEEK_SET);
tboff = get4() + offset;
fseek (ifp, tboff, SEEK_SET);
nrecs = get2();
if ((nrecs | depth) > 127) return;
while (nrecs--) {
type = get2();
len = get4();
// printf ("\n*** type: 0x%04x len: 0x%04x", type, len);
save = ftell(ifp) + 4;
fseek (ifp, offset+get4(), SEEK_SET);
if ((((type >> 8) + 8) | 8) == 0x38) {
parse_ciff (ftell(ifp), len, depth+1); /* Parse a sub-table */
}
if (type == 0x0810)
fread (artist, 64, 1, ifp);
if (type == 0x080a) {
fread (make, 64, 1, ifp);
fseek (ifp, strlen(make) - 63, SEEK_CUR);
fread (model, 64, 1, ifp);
}
if (type == 0x1810) {
width = get4();
height = get4();
pixel_aspect = int_to_float(get4());
flip = get4();
}
if (type == 0x1835) /* Get the decoder table */
tiff_compress = get4();
if (type == 0x2007) {
thumb_offset = ftell(ifp);
thumb_length = len;
}
if (type == 0x1818) {
shutter = powf64(2.0f, -int_to_float((get4(),get4())));
aperture = powf64(2.0f, int_to_float(get4())/2);
#ifdef LIBRAW_LIBRARY_BUILD
imgdata.lens.makernotes.CurAp = aperture;
#endif
}
if (type == 0x102a) {
// iso_speed = pow (2.0, (get4(),get2())/32.0 - 4) * 50;
iso_speed = powf64(2.0f, ((get2(),get2()) + get2())/32.0f - 5.0f) * 100.0f;
#ifdef LIBRAW_LIBRARY_BUILD
aperture = _CanonConvertAperture((get2(),get2()));
imgdata.lens.makernotes.CurAp = aperture;
#else
aperture = powf64(2.0, (get2(),(short)get2())/64.0);
#endif
shutter = powf64(2.0,-((short)get2())/32.0);
wbi = (get2(),get2());
if (wbi > 17) wbi = 0;
fseek (ifp, 32, SEEK_CUR);
if (shutter > 1e6) shutter = get2()/10.0;
}
if (type == 0x102c) {
if (get2() > 512) { /* Pro90, G1 */
fseek (ifp, 118, SEEK_CUR);
FORC4 cam_mul[c ^ 2] = get2();
} else { /* G2, S30, S40 */
fseek (ifp, 98, SEEK_CUR);
FORC4 cam_mul[c ^ (c >> 1) ^ 1] = get2();
}
}
#ifdef LIBRAW_LIBRARY_BUILD
if (type == 0x102d) {
fseek(ifp, 44, SEEK_CUR);
imgdata.lens.makernotes.LensID = get2();
imgdata.lens.makernotes.MaxFocal = get2();
imgdata.lens.makernotes.MinFocal = get2();
imgdata.lens.makernotes.CanonFocalUnits = get2();
if (imgdata.lens.makernotes.CanonFocalUnits != 1)
{
imgdata.lens.makernotes.MaxFocal /= (float)imgdata.lens.makernotes.CanonFocalUnits;
imgdata.lens.makernotes.MinFocal /= (float)imgdata.lens.makernotes.CanonFocalUnits;
}
imgdata.lens.makernotes.MaxAp = _CanonConvertAperture(get2());
imgdata.lens.makernotes.MinAp = _CanonConvertAperture(get2());
}
#endif
if (type == 0x0032) {
if (len == 768) { /* EOS D30 */
fseek (ifp, 72, SEEK_CUR);
FORC4 cam_mul[c ^ (c >> 1)] = 1024.0 / get2();
if (!wbi) cam_mul[0] = -1; /* use my auto white balance */
} else if (!cam_mul[0]) {
if (get2() == key[0]) /* Pro1, G6, S60, S70 */
c = (strstr(model,"Pro1") ?
"012346000000000000":"01345:000000006008")[wbi]-'0'+ 2;
else { /* G3, G5, S45, S50 */
c = "023457000000006000"[wbi]-'0';
key[0] = key[1] = 0;
}
fseek (ifp, 78 + c*8, SEEK_CUR);
FORC4 cam_mul[c ^ (c >> 1) ^ 1] = get2() ^ key[c & 1];
if (!wbi) cam_mul[0] = -1;
}
}
if (type == 0x10a9) { /* D60, 10D, 300D, and clones */
if (len > 66) wbi = "0134567028"[wbi]-'0';
fseek (ifp, 2 + wbi*8, SEEK_CUR);
FORC4 cam_mul[c ^ (c >> 1)] = get2();
}
if (type == 0x1030 && (0x18040 >> wbi & 1))
ciff_block_1030(); /* all that don't have 0x10a9 */
if (type == 0x1031) {
raw_width = (get2(),get2());
raw_height = get2();
}
if (type == 0x501c) {
iso_speed = len & 0xffff;
}
if (type == 0x5029) {
#ifdef LIBRAW_LIBRARY_BUILD
imgdata.lens.makernotes.CurFocal = len >> 16;
imgdata.lens.makernotes.FocalType = len & 0xffff;
if (imgdata.lens.makernotes.FocalType == 2) {
imgdata.lens.makernotes.CanonFocalUnits = 32;
imgdata.lens.makernotes.CurFocal /= (float)imgdata.lens.makernotes.CanonFocalUnits;
}
focal_len = imgdata.lens.makernotes.CurFocal;
#else
focal_len = len >> 16;
if ((len & 0xffff) == 2) focal_len /= 32;
#endif
}
if (type == 0x5813) flash_used = int_to_float(len);
if (type == 0x5814) canon_ev = int_to_float(len);
if (type == 0x5817) shot_order = len;
if (type == 0x5834)
{
unique_id = len;
#ifdef LIBRAW_LIBRARY_BUILD
setCanonBodyFeatures(unique_id);
#endif
}
if (type == 0x580e) timestamp = len;
if (type == 0x180e) timestamp = get4();
#ifdef LOCALTIME
if ((type | 0x4000) == 0x580e)
timestamp = mktime (gmtime (×tamp));
#endif
fseek (ifp, save, SEEK_SET);
}
}
void CLASS parse_rollei()
{
char line[128], *val;
struct tm t;
fseek (ifp, 0, SEEK_SET);
memset (&t, 0, sizeof t);
do {
fgets (line, 128, ifp);
if ((val = strchr(line,'=')))
*val++ = 0;
else
val = line + strlen(line);
if (!strcmp(line,"DAT"))
sscanf (val, "%d.%d.%d", &t.tm_mday, &t.tm_mon, &t.tm_year);
if (!strcmp(line,"TIM"))
sscanf (val, "%d:%d:%d", &t.tm_hour, &t.tm_min, &t.tm_sec);
if (!strcmp(line,"HDR"))
thumb_offset = atoi(val);
if (!strcmp(line,"X "))
raw_width = atoi(val);
if (!strcmp(line,"Y "))
raw_height = atoi(val);
if (!strcmp(line,"TX "))
thumb_width = atoi(val);
if (!strcmp(line,"TY "))
thumb_height = atoi(val);
} while (strncmp(line,"EOHD",4));
data_offset = thumb_offset + thumb_width * thumb_height * 2;
t.tm_year -= 1900;
t.tm_mon -= 1;
if (mktime(&t) > 0)
timestamp = mktime(&t);
strcpy (make, "Rollei");
strcpy (model,"d530flex");
write_thumb = &CLASS rollei_thumb;
}
void CLASS parse_sinar_ia()
{
int entries, off;
char str[8], *cp;
order = 0x4949;
fseek (ifp, 4, SEEK_SET);
entries = get4();
fseek (ifp, get4(), SEEK_SET);
while (entries--) {
off = get4(); get4();
fread (str, 8, 1, ifp);
if (!strcmp(str,"META")) meta_offset = off;
if (!strcmp(str,"THUMB")) thumb_offset = off;
if (!strcmp(str,"RAW0")) data_offset = off;
}
fseek (ifp, meta_offset+20, SEEK_SET);
fread (make, 64, 1, ifp);
make[63] = 0;
if ((cp = strchr(make,' '))) {
strcpy (model, cp+1);
*cp = 0;
}
raw_width = get2();
raw_height = get2();
load_raw = &CLASS unpacked_load_raw;
thumb_width = (get4(),get2());
thumb_height = get2();
write_thumb = &CLASS ppm_thumb;
maximum = 0x3fff;
}
void CLASS parse_phase_one (int base)
{
unsigned entries, tag, type, len, data, save, i, c;
float romm_cam[3][3];
char *cp;
#ifdef LIBRAW_LIBRARY_BUILD
char body_id[3];
body_id[0] = 0;
#endif
memset (&ph1, 0, sizeof ph1);
fseek (ifp, base, SEEK_SET);
order = get4() & 0xffff;
if (get4() >> 8 != 0x526177) return; /* "Raw" */
fseek (ifp, get4()+base, SEEK_SET);
entries = get4();
get4();
while (entries--) {
tag = get4();
type = get4();
len = get4();
data = get4();
save = ftell(ifp);
fseek (ifp, base+data, SEEK_SET);
switch (tag) {
#ifdef LIBRAW_LIBRARY_BUILD
case 0x0102:
fread(body_id, 1, 3, ifp);
if ((body_id[0] == 0x4c) && (body_id[1] == 0x49)) {
body_id[1] = body_id[2];
}
unique_id = (((body_id[0] & 0x3f) << 5) | (body_id[1] & 0x3f)) - 0x41;
setPhaseOneFeatures(unique_id);
break;
case 0x0401:
if (type == 4) imgdata.lens.makernotes.CurAp = powf64(2.0f, (int_to_float(data)/2.0f));
else imgdata.lens.makernotes.CurAp = powf64(2.0f, (getreal(type)/2.0f));
break;
case 0x0403:
if (type == 4) imgdata.lens.makernotes.CurFocal = int_to_float(data);
else imgdata.lens.makernotes.CurFocal = getreal(type);
break;
case 0x0410:
fread(imgdata.lens.makernotes.body, 1, len, ifp);
break;
case 0x0412:
fread(imgdata.lens.makernotes.Lens, 1, len, ifp);
break;
case 0x0414:
if (type == 4) {
imgdata.lens.makernotes.MaxAp4CurFocal = powf64(2.0f, (int_to_float(data)/2.0f));
} else {
imgdata.lens.makernotes.MaxAp4CurFocal = powf64(2.0f, (getreal(type) / 2.0f));
}
break;
case 0x0415:
if (type == 4) {
imgdata.lens.makernotes.MinAp4CurFocal = powf64(2.0f, (int_to_float(data)/2.0f));
} else {
imgdata.lens.makernotes.MinAp4CurFocal = powf64(2.0f, (getreal(type) / 2.0f));
}
break;
case 0x0416:
if (type == 4) {
imgdata.lens.makernotes.MinFocal = int_to_float(data);
} else {
imgdata.lens.makernotes.MinFocal = getreal(type);
}
if (imgdata.lens.makernotes.MinFocal > 1000.0f)
{
imgdata.lens.makernotes.MinFocal = 0.0f;
}
break;
case 0x0417:
if (type == 4) {
imgdata.lens.makernotes.MaxFocal = int_to_float(data);
} else {
imgdata.lens.makernotes.MaxFocal = getreal(type);
}
break;
#endif
case 0x100: flip = "0653"[data & 3]-'0'; break;
case 0x106:
for (i=0; i < 9; i++)
romm_cam[0][i] = getreal(11);
romm_coeff (romm_cam);
break;
case 0x107:
FORC3 cam_mul[c] = getreal(11);
break;
case 0x108: raw_width = data; break;
case 0x109: raw_height = data; break;
case 0x10a: left_margin = data; break;
case 0x10b: top_margin = data; break;
case 0x10c: width = data; break;
case 0x10d: height = data; break;
case 0x10e: ph1.format = data; break;
case 0x10f: data_offset = data+base; break;
case 0x110: meta_offset = data+base;
meta_length = len; break;
case 0x112: ph1.key_off = save - 4; break;
case 0x210: ph1.tag_210 = int_to_float(data); break;
case 0x21a: ph1.tag_21a = data; break;
case 0x21c: strip_offset = data+base; break;
case 0x21d: ph1.t_black = data; break;
case 0x222: ph1.split_col = data; break;
case 0x223: ph1.black_col = data+base; break;
case 0x224: ph1.split_row = data; break;
case 0x225: ph1.black_row = data+base; break;
case 0x301:
model[63] = 0;
fread (model, 1, 63, ifp);
if ((cp = strstr(model," camera"))) *cp = 0;
}
fseek (ifp, save, SEEK_SET);
}
#ifdef LIBRAW_LIBRARY_BUILD
if (!imgdata.lens.makernotes.body[0] && !body_id[0]) {
fseek (ifp, meta_offset, SEEK_SET);
order = get2();
fseek (ifp, 6, SEEK_CUR);
fseek (ifp, meta_offset+get4(), SEEK_SET);
entries = get4(); get4();
while (entries--) {
tag = get4();
len = get4();
data = get4();
save = ftell(ifp);
fseek (ifp, meta_offset+data, SEEK_SET);
if (tag == 0x0407) {
fread(body_id, 1, 3, ifp);
if ((body_id[0] == 0x4c) && (body_id[1] == 0x49)) {
body_id[1] = body_id[2];
}
unique_id = (((body_id[0] & 0x3f) << 5) | (body_id[1] & 0x3f)) - 0x41;
setPhaseOneFeatures(unique_id);
}
fseek (ifp, save, SEEK_SET);
}
}
#endif
load_raw = ph1.format < 3 ?
&CLASS phase_one_load_raw : &CLASS phase_one_load_raw_c;
maximum = 0xffff;
strcpy (make, "Phase One");
if (model[0]) return;
switch (raw_height) {
case 2060: strcpy (model,"LightPhase"); break;
case 2682: strcpy (model,"H 10"); break;
case 4128: strcpy (model,"H 20"); break;
case 5488: strcpy (model,"H 25"); break;
}
}
void CLASS parse_fuji (int offset)
{
unsigned entries, tag, len, save, c;
fseek (ifp, offset, SEEK_SET);
entries = get4();
if (entries > 255) return;
while (entries--) {
tag = get2();
len = get2();
save = ftell(ifp);
if (tag == 0x100) {
raw_height = get2();
raw_width = get2();
} else if (tag == 0x121) {
height = get2();
if ((width = get2()) == 4284) width += 3;
} else if (tag == 0x130) {
fuji_layout = fgetc(ifp) >> 7;
fuji_width = !(fgetc(ifp) & 8);
} else if (tag == 0x131) {
filters = 9;
FORC(36) xtrans_abs[0][35-c] = fgetc(ifp) & 3;
} else if (tag == 0x2ff0) {
FORC4 cam_mul[c ^ 1] = get2();
} else if (tag == 0xc000) {
c = order;
order = 0x4949;
if ((tag = get4()) > 10000) tag = get4();
width = tag;
height = get4();
order = c;
}
fseek (ifp, save+len, SEEK_SET);
}
height <<= fuji_layout;
width >>= fuji_layout;
}
int CLASS parse_jpeg (int offset)
{
int len, save, hlen, mark;
fseek (ifp, offset, SEEK_SET);
if (fgetc(ifp) != 0xff || fgetc(ifp) != 0xd8) return 0;
while (fgetc(ifp) == 0xff && (mark = fgetc(ifp)) != 0xda) {
order = 0x4d4d;
len = get2() - 2;
save = ftell(ifp);
if (mark == 0xc0 || mark == 0xc3) {
fgetc(ifp);
raw_height = get2();
raw_width = get2();
}
order = get2();
hlen = get4();
if (get4() == 0x48454150) /* "HEAP" */
{
#ifdef LIBRAW_LIBRARY_BUILD
imgdata.lens.makernotes.CameraMount = LIBRAW_MOUNT_FixedLens;
imgdata.lens.makernotes.LensMount = LIBRAW_MOUNT_FixedLens;
#endif
parse_ciff (save+hlen, len-hlen, 0);
}
if (parse_tiff (save+6)) apply_tiff();
fseek (ifp, save+len, SEEK_SET);
}
return 1;
}
void CLASS parse_riff()
{
unsigned i, size, end;
char tag[4], date[64], month[64];
static const char mon[12][4] =
{ "Jan","Feb","Mar","Apr","May","Jun","Jul","Aug","Sep","Oct","Nov","Dec" };
struct tm t;
order = 0x4949;
fread (tag, 4, 1, ifp);
size = get4();
end = ftell(ifp) + size;
if (!memcmp(tag,"RIFF",4) || !memcmp(tag,"LIST",4)) {
int maxloop = 1000;
get4();
while (ftell(ifp)+7 < end && !feof(ifp) && maxloop--)
parse_riff();
} else if (!memcmp(tag,"nctg",4)) {
while (ftell(ifp)+7 < end) {
i = get2();
size = get2();
if ((i+1) >> 1 == 10 && size == 20)
get_timestamp(0);
else fseek (ifp, size, SEEK_CUR);
}
} else if (!memcmp(tag,"IDIT",4) && size < 64) {
fread (date, 64, 1, ifp);
date[size] = 0;
memset (&t, 0, sizeof t);
if (sscanf (date, "%*s %s %d %d:%d:%d %d", month, &t.tm_mday,
&t.tm_hour, &t.tm_min, &t.tm_sec, &t.tm_year) == 6) {
for (i=0; i < 12 && strcasecmp(mon[i],month); i++);
t.tm_mon = i;
t.tm_year -= 1900;
if (mktime(&t) > 0)
timestamp = mktime(&t);
}
} else
fseek (ifp, size, SEEK_CUR);
}
void CLASS parse_qt (int end)
{
unsigned save, size;
char tag[4];
order = 0x4d4d;
while (ftell(ifp)+7 < end) {
save = ftell(ifp);
if ((size = get4()) < 8) return;
fread (tag, 4, 1, ifp);
if (!memcmp(tag,"moov",4) ||
!memcmp(tag,"udta",4) ||
!memcmp(tag,"CNTH",4))
parse_qt (save+size);
if (!memcmp(tag,"CNDA",4))
parse_jpeg (ftell(ifp));
fseek (ifp, save+size, SEEK_SET);
}
}
void CLASS parse_smal (int offset, int fsize)
{
int ver;
fseek (ifp, offset+2, SEEK_SET);
order = 0x4949;
ver = fgetc(ifp);
if (ver == 6)
fseek (ifp, 5, SEEK_CUR);
if (get4() != fsize) return;
if (ver > 6) data_offset = get4();
raw_height = height = get2();
raw_width = width = get2();
strcpy (make, "SMaL");
sprintf (model, "v%d %dx%d", ver, width, height);
if (ver == 6) load_raw = &CLASS smal_v6_load_raw;
if (ver == 9) load_raw = &CLASS smal_v9_load_raw;
}
void CLASS parse_cine()
{
unsigned off_head, off_setup, off_image, i;
order = 0x4949;
fseek (ifp, 4, SEEK_SET);
is_raw = get2() == 2;
fseek (ifp, 14, SEEK_CUR);
is_raw *= get4();
off_head = get4();
off_setup = get4();
off_image = get4();
timestamp = get4();
if ((i = get4())) timestamp = i;
fseek (ifp, off_head+4, SEEK_SET);
raw_width = get4();
raw_height = get4();
switch (get2(),get2()) {
case 8: load_raw = &CLASS eight_bit_load_raw; break;
case 16: load_raw = &CLASS unpacked_load_raw;
}
fseek (ifp, off_setup+792, SEEK_SET);
strcpy (make, "CINE");
sprintf (model, "%d", get4());
fseek (ifp, 12, SEEK_CUR);
switch ((i=get4()) & 0xffffff) {
case 3: filters = 0x94949494; break;
case 4: filters = 0x49494949; break;
default: is_raw = 0;
}
fseek (ifp, 72, SEEK_CUR);
switch ((get4()+3600) % 360) {
case 270: flip = 4; break;
case 180: flip = 1; break;
case 90: flip = 7; break;
case 0: flip = 2;
}
cam_mul[0] = getreal(11);
cam_mul[2] = getreal(11);
maximum = ~((~0u) << get4());
fseek (ifp, 668, SEEK_CUR);
shutter = get4()/1000000000.0;
fseek (ifp, off_image, SEEK_SET);
if (shot_select < is_raw)
fseek (ifp, shot_select*8, SEEK_CUR);
data_offset = (INT64) get4() + 8;
data_offset += (INT64) get4() << 32;
}
void CLASS parse_redcine()
{
unsigned i, len, rdvo;
order = 0x4d4d;
is_raw = 0;
fseek (ifp, 52, SEEK_SET);
width = get4();
height = get4();
fseek (ifp, 0, SEEK_END);
fseek (ifp, -(i = ftello(ifp) & 511), SEEK_CUR);
if (get4() != i || get4() != 0x52454f42) {
#ifdef DCRAW_VERBOSE
fprintf (stderr,_("%s: Tail is missing, parsing from head...\n"), ifname);
#endif
fseek (ifp, 0, SEEK_SET);
while ((len = get4()) != EOF) {
if (get4() == 0x52454456)
if (is_raw++ == shot_select)
data_offset = ftello(ifp) - 8;
fseek (ifp, len-8, SEEK_CUR);
}
} else {
rdvo = get4();
fseek (ifp, 12, SEEK_CUR);
is_raw = get4();
fseeko (ifp, rdvo+8 + shot_select*4, SEEK_SET);
data_offset = get4();
}
}
//@end COMMON
char * CLASS foveon_gets (int offset, char *str, int len)
{
int i;
fseek (ifp, offset, SEEK_SET);
for (i=0; i < len-1; i++)
if ((str[i] = get2()) == 0) break;
str[i] = 0;
return str;
}
void CLASS parse_foveon()
{
int entries, img=0, off, len, tag, save, i, wide, high, pent, poff[256][2];
char name[64], value[64];
order = 0x4949; /* Little-endian */
fseek (ifp, 36, SEEK_SET);
flip = get4();
fseek (ifp, -4, SEEK_END);
fseek (ifp, get4(), SEEK_SET);
if (get4() != 0x64434553) return; /* SECd */
entries = (get4(),get4());
while (entries--) {
off = get4();
len = get4();
tag = get4();
save = ftell(ifp);
fseek (ifp, off, SEEK_SET);
if (get4() != (0x20434553 | (tag << 24))) return;
switch (tag) {
case 0x47414d49: /* IMAG */
case 0x32414d49: /* IMA2 */
fseek (ifp, 8, SEEK_CUR);
pent = get4();
wide = get4();
high = get4();
if (wide > raw_width && high > raw_height) {
switch (pent) {
case 5: load_flags = 1;
case 6: load_raw = &CLASS foveon_sd_load_raw; break;
case 30: load_raw = &CLASS foveon_dp_load_raw; break;
default: load_raw = 0;
}
raw_width = wide;
raw_height = high;
data_offset = off+28;
is_foveon = 1;
}
fseek (ifp, off+28, SEEK_SET);
if (fgetc(ifp) == 0xff && fgetc(ifp) == 0xd8
&& thumb_length < len-28) {
thumb_offset = off+28;
thumb_length = len-28;
write_thumb = &CLASS jpeg_thumb;
}
if (++img == 2 && !thumb_length) {
thumb_offset = off+24;
thumb_width = wide;
thumb_height = high;
write_thumb = &CLASS foveon_thumb;
}
break;
case 0x464d4143: /* CAMF */
meta_offset = off+8;
meta_length = len-28;
break;
case 0x504f5250: /* PROP */
pent = (get4(),get4());
fseek (ifp, 12, SEEK_CUR);
off += pent*8 + 24;
if ((unsigned) pent > 256) pent=256;
for (i=0; i < pent*2; i++)
poff[0][i] = off + get4()*2;
for (i=0; i < pent; i++) {
foveon_gets (poff[i][0], name, 64);
foveon_gets (poff[i][1], value, 64);
if (!strcmp (name, "ISO"))
iso_speed = atoi(value);
if (!strcmp (name, "CAMMANUF"))
strcpy (make, value);
if (!strcmp (name, "CAMMODEL"))
strcpy (model, value);
if (!strcmp (name, "WB_DESC"))
strcpy (model2, value);
if (!strcmp (name, "TIME"))
timestamp = atoi(value);
if (!strcmp (name, "EXPTIME"))
shutter = atoi(value) / 1000000.0;
if (!strcmp (name, "APERTURE"))
aperture = atof(value);
if (!strcmp (name, "FLENGTH"))
focal_len = atof(value);
#ifdef LIBRAW_LIBRARY_BUILD
if (!strcmp (name, "FLEQ35MM"))
imgdata.lens.makernotes.FocalLengthIn35mmFormat = atof(value);
if (!strcmp (name, "LENSARANGE"))
{
char *sp;
imgdata.lens.makernotes.MaxAp4CurFocal = imgdata.lens.makernotes.MinAp4CurFocal = atof(value);
sp = strrchr (value, ' ');
if (sp)
{
imgdata.lens.makernotes.MinAp4CurFocal = atof(sp);
if (imgdata.lens.makernotes.MaxAp4CurFocal > imgdata.lens.makernotes.MinAp4CurFocal)
my_swap (float, imgdata.lens.makernotes.MaxAp4CurFocal, imgdata.lens.makernotes.MinAp4CurFocal);
}
}
if (!strcmp (name, "LENSFRANGE"))
{
char *sp;
imgdata.lens.makernotes.MinFocal = imgdata.lens.makernotes.MaxFocal = atof(value);
sp = strrchr (value, ' ');
if (sp)
{
imgdata.lens.makernotes.MaxFocal = atof(sp);
if ((imgdata.lens.makernotes.MaxFocal + 0.17f) < imgdata.lens.makernotes.MinFocal)
my_swap (float, imgdata.lens.makernotes.MaxFocal, imgdata.lens.makernotes.MinFocal);
}
}
if (!strcmp (name, "LENSMODEL"))
{
imgdata.lens.makernotes.LensID = atoi(value);
if (imgdata.lens.makernotes.LensID)
imgdata.lens.makernotes.LensMount = Sigma_X3F;
}
}
#endif
}
#ifdef LOCALTIME
timestamp = mktime (gmtime (×tamp));
#endif
}
fseek (ifp, save, SEEK_SET);
}
}
//@out COMMON
/*
All matrices are from Adobe DNG Converter unless otherwise noted.
*/
void CLASS adobe_coeff (const char *t_make, const char *t_model
#ifdef LIBRAW_LIBRARY_BUILD
,int internal_only
#endif
)
{
static const struct {
const char *prefix;
int t_black, t_maximum, trans[12];
} table[] = {
{ "AgfaPhoto DC-833m", 0, 0, /* DJC */
{ 11438,-3762,-1115,-2409,9914,2497,-1227,2295,5300 } },
{ "Apple QuickTake", 0, 0, /* DJC */
{ 21392,-5653,-3353,2406,8010,-415,7166,1427,2078 } },
{ "Canon EOS D2000", 0, 0,
{ 24542,-10860,-3401,-1490,11370,-297,2858,-605,3225 } },
{ "Canon EOS D6000", 0, 0,
{ 20482,-7172,-3125,-1033,10410,-285,2542,226,3136 } },
{ "Canon EOS D30", 0, 0,
{ 9805,-2689,-1312,-5803,13064,3068,-2438,3075,8775 } },
{ "Canon EOS D60", 0, 0xfa0,
{ 6188,-1341,-890,-7168,14489,2937,-2640,3228,8483 } },
{ "Canon EOS 5D Mark III", 0, 0x3c80,
{ 6722,-635,-963,-4287,12460,2028,-908,2162,5668 } },
{ "Canon EOS 5D Mark II", 0, 0x3cf0,
{ 4716,603,-830,-7798,15474,2480,-1496,1937,6651 } },
{ "Canon EOS 5D", 0, 0xe6c,
{ 6347,-479,-972,-8297,15954,2480,-1968,2131,7649 } },
{ "Canon EOS 6D", 0, 0x3c82,
{ 8621,-2197,-787,-3150,11358,912,-1161,2400,4836 } },
{ "Canon EOS 7D Mark II", 0, 0x3510,
{ 7268,-1082,-969,-4186,11839,2663,-825,2029,5839 } },
{ "Canon EOS 7D", 0, 0x3510,
{ 6844,-996,-856,-3876,11761,2396,-593,1772,6198 } },
{ "Canon EOS 10D", 0, 0xfa0,
{ 8197,-2000,-1118,-6714,14335,2592,-2536,3178,8266 } },
{ "Canon EOS 20Da", 0, 0,
{ 14155,-5065,-1382,-6550,14633,2039,-1623,1824,6561 } },
{ "Canon EOS 20D", 0, 0xfff,
{ 6599,-537,-891,-8071,15783,2424,-1983,2234,7462 } },
{ "Canon EOS 30D", 0, 0,
{ 6257,-303,-1000,-7880,15621,2396,-1714,1904,7046 } },
{ "Canon EOS 40D", 0, 0x3f60,
{ 6071,-747,-856,-7653,15365,2441,-2025,2553,7315 } },
{ "Canon EOS 50D", 0, 0x3d93,
{ 4920,616,-593,-6493,13964,2784,-1774,3178,7005 } },
{ "Canon EOS 60D", 0, 0x2ff7,
{ 6719,-994,-925,-4408,12426,2211,-887,2129,6051 } },
{ "Canon EOS 70D", 0, 0x3bc7,
{ 7034,-804,-1014,-4420,12564,2058,-851,1994,5758 } },
{ "Canon EOS 100D", 0, 0x350f,
{ 6602,-841,-939,-4472,12458,2247,-975,2039,6148 } },
{ "Canon EOS 300D", 0, 0xfa0,
{ 8197,-2000,-1118,-6714,14335,2592,-2536,3178,8266 } },
{ "Canon EOS 350D", 0, 0xfff,
{ 6018,-617,-965,-8645,15881,2975,-1530,1719,7642 } },
{ "Canon EOS 400D", 0, 0xe8e,
{ 7054,-1501,-990,-8156,15544,2812,-1278,1414,7796 } },
{ "Canon EOS 450D", 0, 0x390d,
{ 5784,-262,-821,-7539,15064,2672,-1982,2681,7427 } },
{ "Canon EOS 500D", 0, 0x3479,
{ 4763,712,-646,-6821,14399,2640,-1921,3276,6561 } },
{ "Canon EOS 550D", 0, 0x3dd7,
{ 6941,-1164,-857,-3825,11597,2534,-416,1540,6039 } },
{ "Canon EOS 600D", 0, 0x3510,
{ 6461,-907,-882,-4300,12184,2378,-819,1944,5931 } },
{ "Canon EOS 650D", 0, 0x354d,
{ 6602,-841,-939,-4472,12458,2247,-975,2039,6148 } },
{ "Canon EOS 700D", 0, 0x3c00,
{ 6602,-841,-939,-4472,12458,2247,-975,2039,6148 } },
{ "Canon EOS 1000D", 0, 0xe43,
{ 6771,-1139,-977,-7818,15123,2928,-1244,1437,7533 } },
{ "Canon EOS 1100D", 0, 0x3510,
{ 6444,-904,-893,-4563,12308,2535,-903,2016,6728 } },
{ "Canon EOS 1200D", 0, 0x37c2,
{ 6461,-907,-882,-4300,12184,2378,-819,1944,5931 } },
{ "Canon EOS M", 0, 0,
{ 6602,-841,-939,-4472,12458,2247,-975,2039,6148 } },
{ "Canon EOS-1Ds Mark III", 0, 0x3bb0,
{ 5859,-211,-930,-8255,16017,2353,-1732,1887,7448 } },
{ "Canon EOS-1Ds Mark II", 0, 0xe80,
{ 6517,-602,-867,-8180,15926,2378,-1618,1771,7633 } },
{ "Canon EOS-1D Mark IV", 0, 0x3bb0,
{ 6014,-220,-795,-4109,12014,2361,-561,1824,5787 } },
{ "Canon EOS-1D Mark III", 0, 0x3bb0,
{ 6291,-540,-976,-8350,16145,2311,-1714,1858,7326 } },
{ "Canon EOS-1D Mark II N", 0, 0xe80,
{ 6240,-466,-822,-8180,15825,2500,-1801,1938,8042 } },
{ "Canon EOS-1D Mark II", 0, 0xe80,
{ 6264,-582,-724,-8312,15948,2504,-1744,1919,8664 } },
{ "Canon EOS-1DS", 0, 0xe20,
{ 4374,3631,-1743,-7520,15212,2472,-2892,3632,8161 } },
{ "Canon EOS-1D C", 0, 0x3c4e,
{ 6847,-614,-1014,-4669,12737,2139,-1197,2488,6846 } },
{ "Canon EOS-1D X", 0, 0x3c4e,
{ 6847,-614,-1014,-4669,12737,2139,-1197,2488,6846 } },
{ "Canon EOS-1D", 0, 0xe20,
{ 6806,-179,-1020,-8097,16415,1687,-3267,4236,7690 } },
{ "Canon EOS C500", 853, 0, /* DJC */
{ 17851,-10604,922,-7425,16662,763,-3660,3636,22278 } },
{ "Canon PowerShot A530", 0, 0,
{ 0 } }, /* don't want the A5 matrix */
{ "Canon PowerShot A50", 0, 0,
{ -5300,9846,1776,3436,684,3939,-5540,9879,6200,-1404,11175,217 } },
{ "Canon PowerShot A5", 0, 0,
{ -4801,9475,1952,2926,1611,4094,-5259,10164,5947,-1554,10883,547 } },
{ "Canon PowerShot G10", 0, 0,
{ 11093,-3906,-1028,-5047,12492,2879,-1003,1750,5561 } },
{ "Canon PowerShot G11", 0, 0,
{ 12177,-4817,-1069,-1612,9864,2049,-98,850,4471 } },
{ "Canon PowerShot G12", 0, 0,
{ 13244,-5501,-1248,-1508,9858,1935,-270,1083,4366 } },
{ "Canon PowerShot G15", 0, 0,
{ 7474,-2301,-567,-4056,11456,2975,-222,716,4181 } },
{ "Canon PowerShot G16", 0, 0,
{ 14130,-8071,127,2199,6528,1551,3402,-1721,4960 } },
{ "Canon PowerShot G1 X Mark II", 0, 0,
{ 7378,-1255,-1043,-4088,12251,2048,-876,1946,5805 } },
{ "Canon PowerShot G1 X", 0, 0,
{ 7378,-1255,-1043,-4088,12251,2048,-876,1946,5805 } },
{ "Canon PowerShot G1", 0, 0,
{ -4778,9467,2172,4743,-1141,4344,-5146,9908,6077,-1566,11051,557 } },
{ "Canon PowerShot G2", 0, 0,
{ 9087,-2693,-1049,-6715,14382,2537,-2291,2819,7790 } },
{ "Canon PowerShot G3", 0, 0,
{ 9212,-2781,-1073,-6573,14189,2605,-2300,2844,7664 } },
{ "Canon PowerShot G5", 0, 0,
{ 9757,-2872,-933,-5972,13861,2301,-1622,2328,7212 } },
{ "Canon PowerShot G6", 0, 0,
{ 9877,-3775,-871,-7613,14807,3072,-1448,1305,7485 } },
{ "Canon PowerShot G7 X", 0, 0,
{ 9602,-3823,-937,-2984,11495,1675,-407,1415,5049 } },
{ "Canon PowerShot G9", 0, 0,
{ 7368,-2141,-598,-5621,13254,2625,-1418,1696,5743 } },
{ "Canon PowerShot Pro1", 0, 0,
{ 10062,-3522,-999,-7643,15117,2730,-765,817,7323 } },
{ "Canon PowerShot Pro70", 34, 0,
{ -4155,9818,1529,3939,-25,4522,-5521,9870,6610,-2238,10873,1342 } },
{ "Canon PowerShot Pro90", 0, 0,
{ -4963,9896,2235,4642,-987,4294,-5162,10011,5859,-1770,11230,577 } },
{ "Canon PowerShot S30", 0, 0,
{ 10566,-3652,-1129,-6552,14662,2006,-2197,2581,7670 } },
{ "Canon PowerShot S40", 0, 0,
{ 8510,-2487,-940,-6869,14231,2900,-2318,2829,9013 } },
{ "Canon PowerShot S45", 0, 0,
{ 8163,-2333,-955,-6682,14174,2751,-2077,2597,8041 } },
{ "Canon PowerShot S50", 0, 0,
{ 8882,-2571,-863,-6348,14234,2288,-1516,2172,6569 } },
{ "Canon PowerShot S60", 0, 0,
{ 8795,-2482,-797,-7804,15403,2573,-1422,1996,7082 } },
{ "Canon PowerShot S70", 0, 0,
{ 9976,-3810,-832,-7115,14463,2906,-901,989,7889 } },
{ "Canon PowerShot S90", 0, 0,
{ 12374,-5016,-1049,-1677,9902,2078,-83,852,4683 } },
{ "Canon PowerShot S95", 0, 0,
{ 13440,-5896,-1279,-1236,9598,1931,-180,1001,4651 } },
{ "Canon PowerShot S120", 0, 0, /* LibRaw */
{ 10800,-4782,-628,-2057,10783,1176,-802,2091,4739 } },
{ "Canon PowerShot S110", 0, 0,
{ 8039,-2643,-654,-3783,11230,2930,-206,690,4194 } },
{ "Canon PowerShot S100", 0, 0,
{ 7968,-2565,-636,-2873,10697,2513,180,667,4211 } },
{ "Canon PowerShot SX1 IS", 0, 0,
{ 6578,-259,-502,-5974,13030,3309,-308,1058,4970 } },
{ "Canon PowerShot SX50 HS", 0, 0,
{ 12432,-4753,-1247,-2110,10691,1629,-412,1623,4926 } },
{ "Canon PowerShot SX60 HS", 0, 0,
{ 13161,-5451,-1344,-1989,10654,1531,-47,1271,4955 } },
{ "Canon PowerShot A3300", 0, 0, /* DJC */
{ 10826,-3654,-1023,-3215,11310,1906,0,999,4960 } },
{ "Canon PowerShot A470", 0, 0, /* DJC */
{ 12513,-4407,-1242,-2680,10276,2405,-878,2215,4734 } },
{ "Canon PowerShot A610", 0, 0, /* DJC */
{ 15591,-6402,-1592,-5365,13198,2168,-1300,1824,5075 } },
{ "Canon PowerShot A620", 0, 0, /* DJC */
{ 15265,-6193,-1558,-4125,12116,2010,-888,1639,5220 } },
{ "Canon PowerShot A630", 0, 0, /* DJC */
{ 14201,-5308,-1757,-6087,14472,1617,-2191,3105,5348 } },
{ "Canon PowerShot A640", 0, 0, /* DJC */
{ 13124,-5329,-1390,-3602,11658,1944,-1612,2863,4885 } },
{ "Canon PowerShot A650", 0, 0, /* DJC */
{ 9427,-3036,-959,-2581,10671,1911,-1039,1982,4430 } },
{ "Canon PowerShot A720", 0, 0, /* DJC */
{ 14573,-5482,-1546,-1266,9799,1468,-1040,1912,3810 } },
{ "Canon PowerShot S3 IS", 0, 0, /* DJC */
{ 14062,-5199,-1446,-4712,12470,2243,-1286,2028,4836 } },
{ "Canon PowerShot SX110 IS", 0, 0, /* DJC */
{ 14134,-5576,-1527,-1991,10719,1273,-1158,1929,3581 } },
{ "Canon PowerShot SX220", 0, 0, /* DJC */
{ 13898,-5076,-1447,-1405,10109,1297,-244,1860,3687 } },
{ "Casio EX-S20", 0, 0, /* DJC */
{ 11634,-3924,-1128,-4968,12954,2015,-1588,2648,7206 } },
{ "Casio EX-Z750", 0, 0, /* DJC */
{ 10819,-3873,-1099,-4903,13730,1175,-1755,3751,4632 } },
{ "Casio EX-Z10", 128, 0xfff, /* DJC */
{ 9790,-3338,-603,-2321,10222,2099,-344,1273,4799 } },
{ "CINE 650", 0, 0,
{ 3390,480,-500,-800,3610,340,-550,2336,1192 } },
{ "CINE 660", 0, 0,
{ 3390,480,-500,-800,3610,340,-550,2336,1192 } },
{ "CINE", 0, 0,
{ 20183,-4295,-423,-3940,15330,3985,-280,4870,9800 } },
{ "Contax N Digital", 0, 0xf1e,
{ 7777,1285,-1053,-9280,16543,2916,-3677,5679,7060 } },
{ "Epson R-D1", 0, 0,
{ 6827,-1878,-732,-8429,16012,2564,-704,592,7145 } },
{ "Fujifilm E550", 0, 0,
{ 11044,-3888,-1120,-7248,15168,2208,-1531,2277,8069 } },
{ "Fujifilm E900", 0, 0,
{ 9183,-2526,-1078,-7461,15071,2574,-2022,2440,8639 } },
{ "Fujifilm F5", 0, 0,
{ 13690,-5358,-1474,-3369,11600,1998,-132,1554,4395 } },
{ "Fujifilm F6", 0, 0,
{ 13690,-5358,-1474,-3369,11600,1998,-132,1554,4395 } },
{ "Fujifilm F77", 0, 0xfe9,
{ 13690,-5358,-1474,-3369,11600,1998,-132,1554,4395 } },
{ "Fujifilm F7", 0, 0,
{ 10004,-3219,-1201,-7036,15047,2107,-1863,2565,7736 } },
{ "Fujifilm F8", 0, 0,
{ 13690,-5358,-1474,-3369,11600,1998,-132,1554,4395 } },
{ "Fujifilm S100FS", 514, 0,
{ 11521,-4355,-1065,-6524,13767,3058,-1466,1984,6045 } },
{ "Fujifilm S1", 0, 0,
{ 12297,-4882,-1202,-2106,10691,1623,-88,1312,4790 } },
{ "Fujifilm S20Pro", 0, 0,
{ 10004,-3219,-1201,-7036,15047,2107,-1863,2565,7736 } },
{ "Fujifilm S20", 512, 0x3fff,
{ 11401,-4498,-1312,-5088,12751,2613,-838,1568,5941 } },
{ "Fujifilm S2Pro", 128, 0,
{ 12492,-4690,-1402,-7033,15423,1647,-1507,2111,7697 } },
{ "Fujifilm S3Pro", 0, 0,
{ 11807,-4612,-1294,-8927,16968,1988,-2120,2741,8006 } },
{ "Fujifilm S5Pro", 0, 0,
{ 12300,-5110,-1304,-9117,17143,1998,-1947,2448,8100 } },
{ "Fujifilm S5000", 0, 0,
{ 8754,-2732,-1019,-7204,15069,2276,-1702,2334,6982 } },
{ "Fujifilm S5100", 0, 0,
{ 11940,-4431,-1255,-6766,14428,2542,-993,1165,7421 } },
{ "Fujifilm S5500", 0, 0,
{ 11940,-4431,-1255,-6766,14428,2542,-993,1165,7421 } },
{ "Fujifilm S5200", 0, 0,
{ 9636,-2804,-988,-7442,15040,2589,-1803,2311,8621 } },
{ "Fujifilm S5600", 0, 0,
{ 9636,-2804,-988,-7442,15040,2589,-1803,2311,8621 } },
{ "Fujifilm S6", 0, 0,
{ 12628,-4887,-1401,-6861,14996,1962,-2198,2782,7091 } },
{ "Fujifilm S7000", 0, 0,
{ 10190,-3506,-1312,-7153,15051,2238,-2003,2399,7505 } },
{ "Fujifilm S9000", 0, 0,
{ 10491,-3423,-1145,-7385,15027,2538,-1809,2275,8692 } },
{ "Fujifilm S9500", 0, 0,
{ 10491,-3423,-1145,-7385,15027,2538,-1809,2275,8692 } },
{ "Fujifilm S9100", 0, 0,
{ 12343,-4515,-1285,-7165,14899,2435,-1895,2496,8800 } },
{ "Fujifilm S9600", 0, 0,
{ 12343,-4515,-1285,-7165,14899,2435,-1895,2496,8800 } },
{ "Fujifilm SL1000", 0, 0,
{ 11705,-4262,-1107,-2282,10791,1709,-555,1713,4945 } },
{ "Fujifilm IS-1", 0, 0,
{ 21461,-10807,-1441,-2332,10599,1999,289,875,7703 } },
{ "Fujifilm IS Pro", 0, 0,
{ 12300,-5110,-1304,-9117,17143,1998,-1947,2448,8100 } },
{ "Fujifilm HS10 HS11", 0, 0xf68,
{ 12440,-3954,-1183,-1123,9674,1708,-83,1614,4086 } },
{ "Fujifilm HS2", 0, 0,
{ 13690,-5358,-1474,-3369,11600,1998,-132,1554,4395 } },
{ "Fujifilm HS3", 0, 0,
{ 13690,-5358,-1474,-3369,11600,1998,-132,1554,4395 } },
{ "Fujifilm HS50EXR", 0, 0,
{ 12085,-4727,-953,-3257,11489,2002,-511,2046,4592 } },
{ "Fujifilm F900EXR", 0, 0,
{ 12085,-4727,-953,-3257,11489,2002,-511,2046,4592 } },
{ "Fujifilm X100S", 0, 0,
{ 10592,-4262,-1008,-3514,11355,2465,-870,2025,6386 } },
{ "Fujifilm X100T", 0, 0,
{ 10592,-4262,-1008,-3514,11355,2465,-870,2025,6386 } },
{ "Fujifilm X100", 0, 0,
{ 12161,-4457,-1069,-5034,12874,2400,-795,1724,6904 } },
{ "Fujifilm X10", 0, 0,
{ 13509,-6199,-1254,-4430,12733,1865,-331,1441,5022 } },
{ "Fujifilm X20", 0, 0,
{ 11768,-4971,-1133,-4904,12927,2183,-480,1723,4605 } },
{ "Fujifilm X30", 0, 0,
{ 12328,-5256,-1144,-4469,12927,1675,-87,1291,4351 } },
{ "Fujifilm X-Pro1", 0, 0,
{ 10413,-3996,-993,-3721,11640,2361,-733,1540,6011 } },
{ "Fujifilm X-A1", 0, 0,
{ 10413,-3996,-993,-3721,11640,2361,-733,1540,6011 } },
{ "Fujifilm X-E1", 0, 0,
{ 10413,-3996,-993,-3721,11640,2361,-733,1540,6011 } },
{ "Fujifilm X-E2", 0, 0,
{ 12066,-5927,-367,-1969,9878,1503,-721,2034,5453 } },
{ "Fujifilm XF1", 0, 0,
{ 13509,-6199,-1254,-4430,12733,1865,-331,1441,5022 } },
{ "Fujifilm X-M1", 0, 0,
{ 13193,-6685,-425,-2229,10458,1534,-878,1763,5217 } },
{ "Fujifilm X-S1", 0, 0,
{ 13509,-6199,-1254,-4430,12733,1865,-331,1441,5022 } },
{ "Fujifilm X-T1", 0, 0, /* LibRaw */
{ 12066,-5927,-367,-1969,9878,1503,-721,2034,5453 } },
{ "Fujifilm XQ1", 0, 0,
{ 14305,-7365,-687,-3117,12383,432,-287,1660,4361 } },
{ "Hasselblad Lunar", -512, 0,
{ 5491,-1192,-363,-4951,12342,2948,-911,1722,7192 } },
{ "Hasselblad Stellar", -800, 0,
{ 8651,-2754,-1057,-3464,12207,1373,-568,1398,4434 } },
{ "Hasselblad CFV", 0, 0, /* Adobe */
{ 8519, -3260, -280, -5081, 13459, 1738, -1449, 2960, 7809, } },
{ "Hasselblad H-16MP", 0, 0, /* LibRaw */
{ 17765,-5322,-1734,-6168,13354,2135,-264,2524,7440 } },
{ "Hasselblad H-22MP", 0, 0, /* LibRaw */
{ 17765,-5322,-1734,-6168,13354,2135,-264,2524,7440 } },
{"Hasselblad H-31MP",0, 0, /* LibRaw */
{ 14480,-5448,-1686,-3534,13123,2260,384,2952,7232 } },
{"Hasselblad H-39MP",0, 0, /* Adobe */
{3857,452, -46, -6008, 14477, 1596, -2627, 4481, 5718}},
{ "Hasselblad H3D-50", 0, 0, /* Adobe */
{3857,452, -46, -6008, 14477, 1596, -2627, 4481, 5718}},
{"Hasselblad H4D-40",0, 0, /* LibRaw */
{ 6325,-860,-957,-6559,15945,266,167,770,5936 } },
{"Hasselblad H4D-50",0, 0, /* LibRaw */
{ 15283,-6272,-465,-2030,16031,478,-2379,390,7965 } },
{"Hasselblad H4D-60",0, 0, /* Adobe */
{9662, -684, -279, -4903, 12293, 2950, -344, 1669, 6024}},
{"Hasselblad H5D-50c",0, 0, /* Adobe */
{4932, -835, 141, -4878, 11868, 3437, -1138, 1961, 7067}},
{"Hasselblad H5D-50",0, 0, /* Adobe */
{5656, -659, -346, -3923, 12306, 1791, -1602, 3509, 5442}},
{ "Imacon Ixpress", 0, 0, /* DJC */
{ 7025,-1415,-704,-5188,13765,1424,-1248,2742,6038 } },
{ "Kodak NC2000", 0, 0,
{ 13891,-6055,-803,-465,9919,642,2121,82,1291 } },
{ "Kodak DCS315C", -8, 0,
{ 17523,-4827,-2510,756,8546,-137,6113,1649,2250 } },
{ "Kodak DCS330C", -8, 0,
{ 20620,-7572,-2801,-103,10073,-396,3551,-233,2220 } },
{ "Kodak DCS420", 0, 0,
{ 10868,-1852,-644,-1537,11083,484,2343,628,2216 } },
{ "Kodak DCS460", 0, 0,
{ 10592,-2206,-967,-1944,11685,230,2206,670,1273 } },
{ "Kodak EOSDCS1", 0, 0,
{ 10592,-2206,-967,-1944,11685,230,2206,670,1273 } },
{ "Kodak EOSDCS3B", 0, 0,
{ 9898,-2700,-940,-2478,12219,206,1985,634,1031 } },
{ "Kodak DCS520C", -178, 0,
{ 24542,-10860,-3401,-1490,11370,-297,2858,-605,3225 } },
{ "Kodak DCS560C", -177, 0,
{ 20482,-7172,-3125,-1033,10410,-285,2542,226,3136 } },
{ "Kodak DCS620C", -177, 0,
{ 23617,-10175,-3149,-2054,11749,-272,2586,-489,3453 } },
{ "Kodak DCS620X", -176, 0,
{ 13095,-6231,154,12221,-21,-2137,895,4602,2258 } },
{ "Kodak DCS660C", -173, 0,
{ 18244,-6351,-2739,-791,11193,-521,3711,-129,2802 } },
{ "Kodak DCS720X", 0, 0,
{ 11775,-5884,950,9556,1846,-1286,-1019,6221,2728 } },
{ "Kodak DCS760C", 0, 0,
{ 16623,-6309,-1411,-4344,13923,323,2285,274,2926 } },
{ "Kodak DCS Pro SLR", 0, 0,
{ 5494,2393,-232,-6427,13850,2846,-1876,3997,5445 } },
{ "Kodak DCS Pro 14nx", 0, 0,
{ 5494,2393,-232,-6427,13850,2846,-1876,3997,5445 } },
{ "Kodak DCS Pro 14", 0, 0,
{ 7791,3128,-776,-8588,16458,2039,-2455,4006,6198 } },
{ "Kodak ProBack645", 0, 0,
{ 16414,-6060,-1470,-3555,13037,473,2545,122,4948 } },
{ "Kodak ProBack", 0, 0,
{ 21179,-8316,-2918,-915,11019,-165,3477,-180,4210 } },
{ "Kodak P712", 0, 0,
{ 9658,-3314,-823,-5163,12695,2768,-1342,1843,6044 } },
{ "Kodak P850", 0, 0xf7c,
{ 10511,-3836,-1102,-6946,14587,2558,-1481,1792,6246 } },
{ "Kodak P880", 0, 0xfff,
{ 12805,-4662,-1376,-7480,15267,2360,-1626,2194,7904 } },
{ "Kodak EasyShare Z980", 0, 0,
{ 11313,-3559,-1101,-3893,11891,2257,-1214,2398,4908 } },
{ "Kodak EasyShare Z981", 0, 0,
{ 12729,-4717,-1188,-1367,9187,2582,274,860,4411 } },
{ "Kodak EasyShare Z990", 0, 0xfed,
{ 11749,-4048,-1309,-1867,10572,1489,-138,1449,4522 } },
{ "Kodak EASYSHARE Z1015", 0, 0xef1,
{ 11265,-4286,-992,-4694,12343,2647,-1090,1523,5447 } },
{ "Leaf CMost", 0, 0,
{ 3952,2189,449,-6701,14585,2275,-4536,7349,6536 } },
{ "Leaf Valeo 6", 0, 0,
{ 3952,2189,449,-6701,14585,2275,-4536,7349,6536 } },
{ "Leaf Aptus 54S", 0, 0,
{ 8236,1746,-1314,-8251,15953,2428,-3673,5786,5771 } },
{ "Leaf Aptus 65", 0, 0,
{ 7914,1414,-1190,-8777,16582,2280,-2811,4605,5562 } },
{ "Leaf Aptus 75", 0, 0,
{ 7914,1414,-1190,-8777,16582,2280,-2811,4605,5562 } },
{ "Leaf Credo 40", 0, 0,
{ 8035, 435, -962, -6001, 13872, 2320, -1159, 3065, 5434 } },
{ "Leaf Credo 50", 0, 0,
{ 3984, 0, 0, 0, 10000, 0, 0, 0, 7666 } },
{ "Leaf Credo 60", 0, 0,
{ 8035, 435, -962, -6001, 13872,2320,-1159,3065,5434} },
{ "Leaf Credo 80", 0, 0,
{ 6294, 686, -712, -5435, 13417, 2211, -1006, 2435, 5042} },
{ "Leaf", 0, 0,
{ 8236,1746,-1314,-8251,15953,2428,-3673,5786,5771 } },
{ "Mamiya ZD", 0, 0,
{ 7645,2579,-1363,-8689,16717,2015,-3712,5941,5961 } },
{ "Micron 2010", 110, 0, /* DJC */
{ 16695,-3761,-2151,155,9682,163,3433,951,4904 } },
{ "Minolta DiMAGE 5", 0, 0xf7d,
{ 8983,-2942,-963,-6556,14476,2237,-2426,2887,8014 } },
{ "Minolta DiMAGE 7Hi", 0, 0xf7d,
{ 11368,-3894,-1242,-6521,14358,2339,-2475,3056,7285 } },
{ "Minolta DiMAGE 7", 0, 0xf7d,
{ 9144,-2777,-998,-6676,14556,2281,-2470,3019,7744 } },
{ "Minolta DiMAGE A1", 0, 0xf8b,
{ 9274,-2547,-1167,-8220,16323,1943,-2273,2720,8340 } },
{ "Minolta DiMAGE A200", 0, 0,
{ 8560,-2487,-986,-8112,15535,2771,-1209,1324,7743 } },
{ "Minolta DiMAGE A2", 0, 0xf8f,
{ 9097,-2726,-1053,-8073,15506,2762,-966,981,7763 } },
{ "Minolta DiMAGE Z2", 0, 0, /* DJC */
{ 11280,-3564,-1370,-4655,12374,2282,-1423,2168,5396 } },
{ "Minolta DYNAX 5", 0, 0xffb,
{ 10284,-3283,-1086,-7957,15762,2316,-829,882,6644 } },
{ "Minolta DYNAX 7", 0, 0xffb,
{ 10239,-3104,-1099,-8037,15727,2451,-927,925,6871 } },
{ "Motorola PIXL", 0, 0, /* DJC */
{ 8898,-989,-1033,-3292,11619,1674,-661,3178,5216 } },
{ "Nikon D100", 0, 0,
{ 5902,-933,-782,-8983,16719,2354,-1402,1455,6464 } },
{ "Nikon D1H", 0, 0,
{ 7577,-2166,-926,-7454,15592,1934,-2377,2808,8606 } },
{ "Nikon D1X", 0, 0,
{ 7702,-2245,-975,-9114,17242,1875,-2679,3055,8521 } },
{ "Nikon D1", 0, 0, /* multiplied by 2.218750, 1.0, 1.148438 */
{ 16772,-4726,-2141,-7611,15713,1972,-2846,3494,9521 } },
{ "Nikon D200", 0, 0xfbc,
{ 8367,-2248,-763,-8758,16447,2422,-1527,1550,8053 } },
{ "Nikon D2H", 0, 0,
{ 5710,-901,-615,-8594,16617,2024,-2975,4120,6830 } },
{ "Nikon D2X", 0, 0,
{ 10231,-2769,-1255,-8301,15900,2552,-797,680,7148 } },
{ "Nikon D3000", 0, 0,
{ 8736,-2458,-935,-9075,16894,2251,-1354,1242,8263 } },
{ "Nikon D3100", 0, 0,
{ 7911,-2167,-813,-5327,13150,2408,-1288,2483,7968 } },
{ "Nikon D3200", 0, 0xfb9,
{ 7013,-1408,-635,-5268,12902,2640,-1470,2801,7379 } },
{ "Nikon D3300", 0, 0,
{ 6988,-1384,-714,-5631,13410,2447,-1485,2204,7318 } },
{ "Nikon D300", 0, 0,
{ 9030,-1992,-715,-8465,16302,2255,-2689,3217,8069 } },
{ "Nikon D3X", 0, 0,
{ 7171,-1986,-648,-8085,15555,2718,-2170,2512,7457 } },
{ "Nikon D3S", 0, 0,
{ 8828,-2406,-694,-4874,12603,2541,-660,1509,7587 } },
{ "Nikon D3", 0, 0,
{ 8139,-2171,-663,-8747,16541,2295,-1925,2008,8093 } },
{ "Nikon D40X", 0, 0,
{ 8819,-2543,-911,-9025,16928,2151,-1329,1213,8449 } },
{ "Nikon D40", 0, 0,
{ 6992,-1668,-806,-8138,15748,2543,-874,850,7897 } },
{ "Nikon D4S", 0, 0,
{ 8598,-2848,-857,-5618,13606,2195,-1002,1773,7137 } },
{ "Nikon D4", 0, 0,
{ 8598,-2848,-857,-5618,13606,2195,-1002,1773,7137 } },
{ "Nikon Df", 0, 0,
{ 8598,-2848,-857,-5618,13606,2195,-1002,1773,7137 } },
{ "Nikon D5000", 0, 0xf00,
{ 7309,-1403,-519,-8474,16008,2622,-2433,2826,8064 } },
{ "Nikon D5100", 0, 0x3de6,
{ 8198,-2239,-724,-4871,12389,2798,-1043,2050,7181 } },
{ "Nikon D5200", 0, 0,
{ 8322,-3112,-1047,-6367,14342,2179,-988,1638,6394 } },
{ "Nikon D5300", 0, 0,
{ 6988,-1384,-714,-5631,13410,2447,-1485,2204,7318 } },
{ "Nikon D5500", 0, 0, /* DJC */
{ 5765,-2176,184,-3736,9072,4664,-1028,2213,9259 } },
{ "Nikon D50", 0, 0,
{ 7732,-2422,-789,-8238,15884,2498,-859,783,7330 } },
{ "Nikon D600", 0, 0x3e07,
{ 8178,-2245,-609,-4857,12394,2776,-1207,2086,7298 } },
{"Nikon D610",0, 0,
{ 10426,-4005,-444,-3565,11764,1403,-1206,2266,6549 } },
{ "Nikon D60", 0, 0,
{ 8736,-2458,-935,-9075,16894,2251,-1354,1242,8263 } },
{ "Nikon D7000", 0, 0,
{ 8198,-2239,-724,-4871,12389,2798,-1043,2050,7181 } },
{ "Nikon D7100", 0, 0,
{ 8322,-3112,-1047,-6367,14342,2179,-988,1638,6394 } },
{ "Nikon D750", 0, 0,
{ 9020,-2890,-715,-4535,12436,2348,-934,1919,7086 } },
{ "Nikon D700", 0, 0,
{ 8139,-2171,-663,-8747,16541,2295,-1925,2008,8093 } },
{ "Nikon D70", 0, 0,
{ 7732,-2422,-789,-8238,15884,2498,-859,783,7330 } },
{ "Nikon D810", 0, 0,
{ 9369,-3195,-791,-4488,12430,2301,-893,1796,6872 } },
{ "Nikon D800", 0, 0,
{ 7866,-2108,-555,-4869,12483,2681,-1176,2069,7501 } },
{ "Nikon D80", 0, 0,
{ 8629,-2410,-883,-9055,16940,2171,-1490,1363,8520 } },
{ "Nikon D90", 0, 0xf00,
{ 7309,-1403,-519,-8474,16008,2622,-2434,2826,8064 } },
{ "Nikon E700", 0, 0x3dd, /* DJC */
{ -3746,10611,1665,9621,-1734,2114,-2389,7082,3064,3406,6116,-244 } },
{ "Nikon E800", 0, 0x3dd, /* DJC */
{ -3746,10611,1665,9621,-1734,2114,-2389,7082,3064,3406,6116,-244 } },
{ "Nikon E950", 0, 0x3dd, /* DJC */
{ -3746,10611,1665,9621,-1734,2114,-2389,7082,3064,3406,6116,-244 } },
{ "Nikon E995", 0, 0, /* copied from E5000 */
{ -5547,11762,2189,5814,-558,3342,-4924,9840,5949,688,9083,96 } },
{ "Nikon E2100", 0, 0, /* copied from Z2, new white balance */
{ 13142,-4152,-1596,-4655,12374,2282,-1769,2696,6711} },
{ "Nikon E2500", 0, 0,
{ -5547,11762,2189,5814,-558,3342,-4924,9840,5949,688,9083,96 } },
{ "Nikon E3200", 0, 0, /* DJC */
{ 9846,-2085,-1019,-3278,11109,2170,-774,2134,5745 } },
{ "Nikon E4300", 0, 0, /* copied from Minolta DiMAGE Z2 */
{ 11280,-3564,-1370,-4655,12374,2282,-1423,2168,5396 } },
{ "Nikon E4500", 0, 0,
{ -5547,11762,2189,5814,-558,3342,-4924,9840,5949,688,9083,96 } },
{ "Nikon E5000", 0, 0,
{ -5547,11762,2189,5814,-558,3342,-4924,9840,5949,688,9083,96 } },
{ "Nikon E5400", 0, 0,
{ 9349,-2987,-1001,-7919,15766,2266,-2098,2680,6839 } },
{ "Nikon E5700", 0, 0,
{ -5368,11478,2368,5537,-113,3148,-4969,10021,5782,778,9028,211 } },
{ "Nikon E8400", 0, 0,
{ 7842,-2320,-992,-8154,15718,2599,-1098,1342,7560 } },
{ "Nikon E8700", 0, 0,
{ 8489,-2583,-1036,-8051,15583,2643,-1307,1407,7354 } },
{ "Nikon E8800", 0, 0,
{ 7971,-2314,-913,-8451,15762,2894,-1442,1520,7610 } },
{ "Nikon COOLPIX A", 0, 0,
{ 8198,-2239,-724,-4871,12389,2798,-1043,2050,7181 } },
{ "Nikon COOLPIX P330", -200, 0,
{ 10321,-3920,-931,-2750,11146,1824,-442,1545,5539 } },
{ "Nikon COOLPIX P340", -200, 0,
{ 10321,-3920,-931,-2750,11146,1824,-442,1545,5539 } },
{ "Nikon COOLPIX P6000", 0, 0,
{ 9698,-3367,-914,-4706,12584,2368,-837,968,5801 } },
{ "Nikon COOLPIX P7000", 0, 0,
{ 11432,-3679,-1111,-3169,11239,2202,-791,1380,4455 } },
{ "Nikon COOLPIX P7100", 0, 0,
{ 11053,-4269,-1024,-1976,10182,2088,-526,1263,4469 } },
{ "Nikon COOLPIX P7700", -3200, 0,
{ 10321,-3920,-931,-2750,11146,1824,-442,1545,5539 } },
{ "Nikon COOLPIX P7800", -3200, 0, /* LibRaw */
{ 13443,-6418,-673,-1309,10025,1131,-462,1827,4782 } },
{ "Nikon 1 V3", -200, 0,
{ 5958,-1559,-571,-4021,11453,2939,-634,1548,5087 } },
{ "Nikon 1 J4", 0, 0,
{ 5958,-1559,-571,-4021,11453,2939,-634,1548,5087 } },
{ "Nikon 1 S2", 200, 0,
{ 6612,-1342,-618,-3338,11055,2623,-174,1792,5075 } },
{ "Nikon 1 V2", 0, 0,
{ 6588,-1305,-693,-3277,10987,2634,-355,2016,5106 } },
{ "Nikon 1 J3", 0, 0,
{ 8144,-2671,-473,-1740,9834,1601,-58,1971,4296 } },
{ "Nikon 1 AW1", 0, 0,
{ 6588,-1305,-693,-3277,10987,2634,-355,2016,5106 } },
{ "Nikon 1 ", 0, 0, /* J1, J2, S1, V1 */
{ 8994,-2667,-865,-4594,12324,2552,-699,1786,6260 } },
{ "Olympus C5050", 0, 0,
{ 10508,-3124,-1273,-6079,14294,1901,-1653,2306,6237 } },
{ "Olympus C5060", 0, 0,
{ 10445,-3362,-1307,-7662,15690,2058,-1135,1176,7602 } },
{ "Olympus C7070", 0, 0,
{ 10252,-3531,-1095,-7114,14850,2436,-1451,1723,6365 } },
{ "Olympus C70", 0, 0,
{ 10793,-3791,-1146,-7498,15177,2488,-1390,1577,7321 } },
{ "Olympus C80", 0, 0,
{ 8606,-2509,-1014,-8238,15714,2703,-942,979,7760 } },
{ "Olympus E-10", 0, 0xffc,
{ 12745,-4500,-1416,-6062,14542,1580,-1934,2256,6603 } },
{ "Olympus E-1", 0, 0,
{ 11846,-4767,-945,-7027,15878,1089,-2699,4122,8311 } },
{ "Olympus E-20", 0, 0xffc,
{ 13173,-4732,-1499,-5807,14036,1895,-2045,2452,7142 } },
{ "Olympus E-300", 0, 0,
{ 7828,-1761,-348,-5788,14071,1830,-2853,4518,6557 } },
{ "Olympus E-330", 0, 0,
{ 8961,-2473,-1084,-7979,15990,2067,-2319,3035,8249 } },
{ "Olympus E-30", 0, 0xfbc,
{ 8144,-1861,-1111,-7763,15894,1929,-1865,2542,7607 } },
{ "Olympus E-3", 0, 0xf99,
{ 9487,-2875,-1115,-7533,15606,2010,-1618,2100,7389 } },
{ "Olympus E-400", 0, 0,
{ 6169,-1483,-21,-7107,14761,2536,-2904,3580,8568 } },
{ "Olympus E-410", 0, 0xf6a,
{ 8856,-2582,-1026,-7761,15766,2082,-2009,2575,7469 } },
{ "Olympus E-420", 0, 0xfd7,
{ 8746,-2425,-1095,-7594,15612,2073,-1780,2309,7416 } },
{ "Olympus E-450", 0, 0xfd2,
{ 8745,-2425,-1095,-7594,15613,2073,-1780,2309,7416 } },
{ "Olympus E-500", 0, 0,
{ 8136,-1968,-299,-5481,13742,1871,-2556,4205,6630 } },
{ "Olympus E-510", 0, 0xf6a,
{ 8785,-2529,-1033,-7639,15624,2112,-1783,2300,7817 } },
{ "Olympus E-520", 0, 0xfd2,
{ 8344,-2322,-1020,-7596,15635,2048,-1748,2269,7287 } },
{ "Olympus E-5", 0, 0xeec,
{ 11200,-3783,-1325,-4576,12593,2206,-695,1742,7504 } },
{ "Olympus E-600", 0, 0xfaf,
{ 8453,-2198,-1092,-7609,15681,2008,-1725,2337,7824 } },
{ "Olympus E-620", 0, 0xfaf,
{ 8453,-2198,-1092,-7609,15681,2008,-1725,2337,7824 } },
{ "Olympus E-P1", 0, 0xffd,
{ 8343,-2050,-1021,-7715,15705,2103,-1831,2380,8235 } },
{ "Olympus E-P2", 0, 0xffd,
{ 8343,-2050,-1021,-7715,15705,2103,-1831,2380,8235 } },
{ "Olympus E-P3", 0, 0,
{ 7575,-2159,-571,-3722,11341,2725,-1434,2819,6271 } },
{ "Olympus E-P5", 0, 0,
{ 8380,-2630,-639,-2887,10725,2496,-627,1427,5438 } },
{ "Olympus E-PL1s", 0, 0,
{ 11409,-3872,-1393,-4572,12757,2003,-709,1810,7415 } },
{ "Olympus E-PL1", 0, 0,
{ 11408,-4289,-1215,-4286,12385,2118,-387,1467,7787 } },
{ "Olympus E-PL2", 0, 0xcf3,
{ 15030,-5552,-1806,-3987,12387,1767,-592,1670,7023 } },
{ "Olympus E-PL3", 0, 0,
{ 7575,-2159,-571,-3722,11341,2725,-1434,2819,6271 } },
{ "Olympus E-PL5", 0, 0xfcb,
{ 8380,-2630,-639,-2887,10725,2496,-627,1427,5438 } },
{ "Olympus E-PL6", 0, 0,
{ 8380,-2630,-639,-2887,10725,2496,-627,1427,5438 } },
{ "Olympus E-PL7", 0, 0,
{ 9197,-3190,-659,-2606,10830,2039,-458,1250,5458 } },
{ "Olympus E-PM1", 0, 0,
{ 7575,-2159,-571,-3722,11341,2725,-1434,2819,6271 } },
{ "Olympus E-PM2", 0, 0,
{ 8380,-2630,-639,-2887,10725,2496,-627,1427,5438 } },
{ "Olympus E-M10", 0, 0,
{ 8380,-2630,-639,-2887,10725,2496,-627,1427,5438 } },
{ "Olympus E-M1", 0, 0,
{ 7687,-1984,-606,-4327,11928,2721,-1381,2339,6452 } },
{ "Olympus E-M5MarkII", 0, 0, /* DJC */
{ 6617,-2589,139,-2917,8499,4419,-884,1913,6829 } },
{ "Olympus E-M5", 0, 0xfe1,
{ 8380,-2630,-639,-2887,10725,2496,-627,1427,5438 } },
{ "Olympus SP350", 0, 0,
{ 12078,-4836,-1069,-6671,14306,2578,-786,939,7418 } },
{ "Olympus SP3", 0, 0,
{ 11766,-4445,-1067,-6901,14421,2707,-1029,1217,7572 } },
{ "Olympus SP500UZ", 0, 0xfff,
{ 9493,-3415,-666,-5211,12334,3260,-1548,2262,6482 } },
{ "Olympus SP510UZ", 0, 0xffe,
{ 10593,-3607,-1010,-5881,13127,3084,-1200,1805,6721 } },
{ "Olympus SP550UZ", 0, 0xffe,
{ 11597,-4006,-1049,-5432,12799,2957,-1029,1750,6516 } },
{ "Olympus SP560UZ", 0, 0xff9,
{ 10915,-3677,-982,-5587,12986,2911,-1168,1968,6223 } },
{ "Olympus SP570UZ", 0, 0,
{ 11522,-4044,-1146,-4736,12172,2904,-988,1829,6039 } },
{"Olympus STYLUS1",0, 0,
{ 11976,-5518,-545,-1419,10472,846,-475,1766,4524 } },
{ "Olympus XZ-10", 0, 0,
{ 9777,-3483,-925,-2886,11297,1800,-602,1663,5134 } },
{ "Olympus XZ-1", 0, 0,
{ 10901,-4095,-1074,-1141,9208,2293,-62,1417,5158 } },
{ "Olympus XZ-2", 0, 0,
{ 9777,-3483,-925,-2886,11297,1800,-602,1663,5134 } },
{ "OmniVision", 0, 0, /* DJC */
{ 12782,-4059,-379,-478,9066,1413,1340,1513,5176 } },
{ "Pentax *ist DL2", 0, 0,
{ 10504,-2438,-1189,-8603,16207,2531,-1022,863,12242 } },
{ "Pentax *ist DL", 0, 0,
{ 10829,-2838,-1115,-8339,15817,2696,-837,680,11939 } },
{ "Pentax *ist DS2", 0, 0,
{ 10504,-2438,-1189,-8603,16207,2531,-1022,863,12242 } },
{ "Pentax *ist DS", 0, 0,
{ 10371,-2333,-1206,-8688,16231,2602,-1230,1116,11282 } },
{ "Pentax *ist D", 0, 0,
{ 9651,-2059,-1189,-8881,16512,2487,-1460,1345,10687 } },
{ "Pentax K10D", 0, 0,
{ 9566,-2863,-803,-7170,15172,2112,-818,803,9705 } },
{ "Pentax K1", 0, 0,
{ 11095,-3157,-1324,-8377,15834,2720,-1108,947,11688 } },
{ "Pentax K20D", 0, 0,
{ 9427,-2714,-868,-7493,16092,1373,-2199,3264,7180 } },
{ "Pentax K200D", 0, 0,
{ 9186,-2678,-907,-8693,16517,2260,-1129,1094,8524 } },
{ "Pentax K2000", 0, 0,
{ 11057,-3604,-1155,-5152,13046,2329,-282,375,8104 } },
{ "Pentax K-m", 0, 0,
{ 11057,-3604,-1155,-5152,13046,2329,-282,375,8104 } },
{ "Pentax K-x", 0, 0,
{ 8843,-2837,-625,-5025,12644,2668,-411,1234,7410 } },
{ "Pentax K-r", 0, 0,
{ 9895,-3077,-850,-5304,13035,2521,-883,1768,6936 } },
{ "Pentax K-3", 0, 0,
{ 7415,-2052,-721,-5186,12788,2682,-1446,2157,6773 } },
{ "Pentax K-5 II", 0, 0,
{ 8170,-2725,-639,-4440,12017,2744,-771,1465,6599 } },
{ "Pentax K-5", 0, 0,
{ 8713,-2833,-743,-4342,11900,2772,-722,1543,6247 } },
{ "Pentax K-7", 0, 0,
{ 9142,-2947,-678,-8648,16967,1663,-2224,2898,8615 } },
{ "Pentax K-S1", 0, 0,
{ 8512,-3211,-787,-4167,11966,2487,-638,1288,6054 } },
{ "Pentax MX-1", 0, 0,
{ 8804,-2523,-1238,-2423,11627,860,-682,1774,4753 } },
{ "Pentax Q10", 0, 0,
{ 12995,-5593,-1107,-1879,10139,2027,-64,1233,4919 } },
{ "Pentax 645D", 0, 0x3e00,
{ 10646,-3593,-1158,-3329,11699,1831,-667,2874,6287 } },
{ "Panasonic DMC-CM1", -15, 0,
{ 8770, -3194,-820,-2871,11281,1803,-513,1552,4434} },
{ "Panasonic DMC-FZ8", 0, 0xf7f,
{ 8986,-2755,-802,-6341,13575,3077,-1476,2144,6379 } },
{ "Panasonic DMC-FZ18", 0, 0,
{ 9932,-3060,-935,-5809,13331,2753,-1267,2155,5575 } },
{ "Panasonic DMC-FZ28", -15, 0xf96,
{ 10109,-3488,-993,-5412,12812,2916,-1305,2140,5543 } },
{ "Panasonic DMC-FZ30", 0, 0xf94,
{ 10976,-4029,-1141,-7918,15491,2600,-1670,2071,8246 } },
{ "Panasonic DMC-FZ3", -15, 0,
{ 9938,-2780,-890,-4604,12393,2480,-1117,2304,4620 } },
{ "Panasonic DMC-FZ4", -15, 0,
{ 13639,-5535,-1371,-1698,9633,2430,316,1152,4108 } },
{ "Panasonic DMC-FZ50", 0, 0,
{ 7906,-2709,-594,-6231,13351,3220,-1922,2631,6537 } },
{ "Panasonic DMC-FZ7", -15, 0,
{ 11532,-4324,-1066,-2375,10847,1749,-564,1699,4351 } },
{ "Leica V-LUX1", 0, 0,
{ 7906,-2709,-594,-6231,13351,3220,-1922,2631,6537 } },
{ "Panasonic DMC-L10", -15, 0xf96,
{ 8025,-1942,-1050,-7920,15904,2100,-2456,3005,7039 } },
{ "Panasonic DMC-L1", 0, 0xf7f,
{ 8054,-1885,-1025,-8349,16367,2040,-2805,3542,7629 } },
{ "Leica DIGILUX 3", 0, 0xf7f,
{ 8054,-1885,-1025,-8349,16367,2040,-2805,3542,7629 } },
{ "Panasonic DMC-LC1", 0, 0,
{ 11340,-4069,-1275,-7555,15266,2448,-2960,3426,7685 } },
{ "Leica DIGILUX 2", 0, 0,
{ 11340,-4069,-1275,-7555,15266,2448,-2960,3426,7685 } },
{ "Panasonic DMC-LX100", -15, 0,
{ 8844,-3538,-768,-3709,11762,2200,-698,1792,5220 } },
{ "Leica D-LUX (Typ 109)", -15, 0,
{ 8844,-3538,-768,-3709,11762,2200,-698,1792,5220 } },
{ "Panasonic DMC-LF1", -15, 0,
{ 9379,-3267,-816,-3227,11560,1881,-926,1928,5340 } },
{ "Leica C (Typ 112)", -15, 0,
{ 9379,-3267,-816,-3227,11560,1881,-926,1928,5340 } },
{ "Panasonic DMC-LX1", 0, 0xf7f,
{ 10704,-4187,-1230,-8314,15952,2501,-920,945,8927 } },
{ "Leica D-Lux (Typ 109)", 0, 0xf7f, /* LibRaw */
{ 10031,-4555,-456,-3024,11520,1091,-1342,2611,4752 } },
{ "Leica D-LUX2", 0, 0xf7f,
{ 10704,-4187,-1230,-8314,15952,2501,-920,945,8927 } },
{ "Panasonic DMC-LX2", 0, 0,
{ 8048,-2810,-623,-6450,13519,3272,-1700,2146,7049 } },
{ "Leica D-LUX3", 0, 0,
{ 8048,-2810,-623,-6450,13519,3272,-1700,2146,7049 } },
{ "Panasonic DMC-LX3", -15, 0,
{ 8128,-2668,-655,-6134,13307,3161,-1782,2568,6083 } },
{ "Leica D-LUX 4", -15, 0,
{ 8128,-2668,-655,-6134,13307,3161,-1782,2568,6083 } },
{ "Panasonic DMC-LX5", -15, 0,
{ 10909,-4295,-948,-1333,9306,2399,22,1738,4582 } },
{ "Leica D-LUX 5", -15, 0,
{ 10909,-4295,-948,-1333,9306,2399,22,1738,4582 } },
{ "Panasonic DMC-LX7", -15, 0,
{ 10148,-3743,-991,-2837,11366,1659,-701,1893,4899 } },
{ "Leica D-LUX 6", -15, 0,
{ 10148,-3743,-991,-2837,11366,1659,-701,1893,4899 } },
{ "Panasonic DMC-FZ1000", -15, 0,
{ 7830,-2696,-763,-3325,11667,1866,-641,1712,4824 } },
{ "Leica V-LUX (Typ 114)", 15, 0,
{ 7830,-2696,-763,-3325,11667,1866,-641,1712,4824 } },
{ "Panasonic DMC-FZ100", -15, 0xfff,
{ 16197,-6146,-1761,-2393,10765,1869,366,2238,5248 } },
{ "Leica V-LUX 2", -15, 0xfff,
{ 16197,-6146,-1761,-2393,10765,1869,366,2238,5248 } },
{ "Panasonic DMC-FZ150", -15, 0xfff,
{ 11904,-4541,-1189,-2355,10899,1662,-296,1586,4289 } },
{ "Leica V-LUX 3", -15, 0xfff,
{ 11904,-4541,-1189,-2355,10899,1662,-296,1586,4289 } },
{ "Panasonic DMC-FZ200", -15, 0xfff,
{ 8112,-2563,-740,-3730,11784,2197,-941,2075,4933 } },
{ "Leica V-LUX 4", -15, 0xfff,
{ 8112,-2563,-740,-3730,11784,2197,-941,2075,4933 } },
{ "Panasonic DMC-FX150", -15, 0xfff,
{ 9082,-2907,-925,-6119,13377,3058,-1797,2641,5609 } },
{ "Panasonic DMC-G10", 0, 0,
{ 10113,-3400,-1114,-4765,12683,2317,-377,1437,6710 } },
{ "Panasonic DMC-G1", -15, 0xf94,
{ 8199,-2065,-1056,-8124,16156,2033,-2458,3022,7220 } },
{ "Panasonic DMC-G2", -15, 0xf3c,
{ 10113,-3400,-1114,-4765,12683,2317,-377,1437,6710 } },
{ "Panasonic DMC-G3", -15, 0xfff,
{ 6763,-1919,-863,-3868,11515,2684,-1216,2387,5879 } },
{ "Panasonic DMC-G5", -15, 0xfff,
{ 7798,-2562,-740,-3879,11584,2613,-1055,2248,5434 } },
{ "Panasonic DMC-G6", -15, 0xfff,
{ 8294,-2891,-651,-3869,11590,2595,-1183,2267,5352 } },
{ "Panasonic DMC-GF1", -15, 0xf92,
{ 7888,-1902,-1011,-8106,16085,2099,-2353,2866,7330 } },
{ "Panasonic DMC-GF2", -15, 0xfff,
{ 7888,-1902,-1011,-8106,16085,2099,-2353,2866,7330 } },
{ "Panasonic DMC-GF3", -15, 0xfff,
{ 9051,-2468,-1204,-5212,13276,2121,-1197,2510,6890 } },
{ "Panasonic DMC-GF5", -15, 0xfff,
{ 8228,-2945,-660,-3938,11792,2430,-1094,2278,5793 } },
{ "Panasonic DMC-GF6", -15, 0,
{ 8130,-2801,-946,-3520,11289,2552,-1314,2511,5791 } },
{ "Panasonic DMC-GF7", -15, 0, /* DJC */
{ 6086,-2691,-18,-4207,9767,4441,-1486,2640,7441 } },
{ "Panasonic DMC-GH1", -15, 0xf92,
{ 6299,-1466,-532,-6535,13852,2969,-2331,3112,5984 } },
{ "Panasonic DMC-GH2", -15, 0xf95,
{ 7780,-2410,-806,-3913,11724,2484,-1018,2390,5298 } },
{ "Panasonic DMC-GH3", -15, 0,
{ 6559,-1752,-491,-3672,11407,2586,-962,1875,5130 } },
{ "Panasonic DMC-GH4", -15, 0,
{ 7122,-2108,-512,-3155,11201,2231,-541,1423,5045 } },
{ "Panasonic DMC-GM1", -15, 0,
{ 6770,-1895,-744,-5232,13145,2303,-1664,2691,5703 } },
{ "Panasonic DMC-GM5", -15, 0,
{ 8238,-3244,-679,-3921,11814,2384,-836,2022,5852 } },
{ "Panasonic DMC-GX1", -15, 0,
{ 6763,-1919,-863,-3868,11515,2684,-1216,2387,5879 } },
{"Panasonic DMC-GX7", -15,0, /* LibRaw */
{7541,-2355,-591,-3163,10598,1894,-933,2109,5006}},
{"Panasonic DMC-TZ6",-15, 0,
{ 15964,-8332,-389,1756,7198,383,862,784,1995 } },
{"Panasonic DMC-ZS4",-15, 0,
{ 15964,-8332,-389,1756,7198,383,862,784,1995 } },
{ "Panasonic DMC-TZ7",-15, 0,
{ 7901,-2472,-600,-3298,10720,2210,-864,2205,5064 } },
{ "Panasonic DMC-ZS5",-15, 0, /* same ID as Panasonic DMC-TZ70 */
{ 7901,-2472,-600,-3298,10720,2210,-864,2205,5064 } },
{ "Phase One H 20", 0, 0, /* DJC */
{ 1313,1855,-109,-6715,15908,808,-327,1840,6020 } },
{ "Phase One H 25", 0, 0,
{ 2905,732,-237,-8134,16626,1476,-3038,4253,7517 } },
{"Phase One IQ250",0, 0,
{ 4396,-153,-249,-5267,12249,2657,-1397,2323,6014 } },
{ "Phase One P 2", 0, 0,
{ 2905,732,-237,-8134,16626,1476,-3038,4253,7517 } },
{ "Phase One P 30", 0, 0,
{ 4516,-245,-37,-7020,14976,2173,-3206,4671,7087 } },
{ "Phase One P 45", 0, 0,
{ 5053,-24,-117,-5684,14076,1702,-2619,4492,5849 } },
{ "Phase One P40", 0, 0,
{ 8035,435,-962,-6001,13872,2320,-1159,3065,5434 } },
{ "Phase One P65", 0, 0,
{ 8035,435,-962,-6001,13872,2320,-1159,3065,5434 } },
{ "Red One", 704, 0xffff, /* DJC */
{ 21014,-7891,-2613,-3056,12201,856,-2203,5125,8042 } },
{ "Samsung EK-GN120", 0, 0, /* Adobe; Galaxy NX */
{ 7557,-2522,-739,-4679,12949,1894,-840,1777,5311 } },
{ "Samsung EX1", 0, 0x3e00,
{ 8898,-2498,-994,-3144,11328,2066,-760,1381,4576 } },
{ "Samsung EX2F", 0, 0x7ff,
{ 10648,-3897,-1055,-2022,10573,1668,-492,1611,4742 } },
{ "Samsung NX mini", 0, 0,
{ 5222,-1196,-550,-6540,14649,2009,-1666,2819,5657 } },
{ "Samsung NX3000", 0, 0,
{ 8060,-2933,-761,-4504,12890,1762,-630,1489,5227 } },
{ "Samsung NX30", 0, 0, /* NX30, NX300, NX300M */
{ 7557,-2522,-739,-4679,12949,1894,-840,1777,5311 } },
{ "Samsung NX2000", 0, 0,
{ 7557,-2522,-739,-4679,12949,1894,-840,1777,5311 } },
{ "Samsung NX2", 0, 0xfff, /* NX20, NX200, NX210 */
{ 6933,-2268,-753,-4921,13387,1647,-803,1641,6096 } },
{ "Samsung NX1000", 0, 0,
{ 6933,-2268,-753,-4921,13387,1647,-803,1641,6096 } },
{ "Samsung NX1100", 0, 0,
{ 6933,-2268,-753,-4921,13387,1647,-803,1641,6096 } },
{ "Samsung NX11", 0, 0,
{ 10332,-3234,-1168,-6111,14639,1520,-1352,2647,8331 } },
{ "Samsung NX10", 0, 0, /* also NX100 */
{ 10332,-3234,-1168,-6111,14639,1520,-1352,2647,8331 } },
{ "Samsung NX5", 0, 0,
{ 10332,-3234,-1168,-6111,14639,1520,-1352,2647,8331 } },
{ "Samsung NX1", -128, 0,
{ 10686,-4042,-1052,-3595,13238,276,-464,1259,5931 } },
{ "Samsung WB2000", 0, 0xfff,
{ 12093,-3557,-1155,-1000,9534,1733,-22,1787,4576 } },
{ "Samsung GX-1", 0, 0,
{ 10504,-2438,-1189,-8603,16207,2531,-1022,863,12242 } },
{ "Samsung GX20", 0, 0, /* copied from Pentax K20D */
{ 9427,-2714,-868,-7493,16092,1373,-2199,3264,7180 } },
{ "Samsung S85", 0, 0, /* DJC */
{ 11885,-3968,-1473,-4214,12299,1916,-835,1655,5549 } },
// Foveon: LibRaw color data
{"Sigma dp1 Quattro",2047, 0,
{ 13801,-3390,-1016,5535,3802,877,1848,4245,3730 } },
{"Sigma dp2 Quattro",2047, 0,
{ 13801,-3390,-1016,5535,3802,877,1848,4245,3730 } },
{ "Sigma SD9", 15, 4095, /* LibRaw */
{ 14082,-2201,-1056,-5243,14788,167,-121,196,8881 } },
{ "Sigma SD10", 15, 16383, /* LibRaw */
{ 14082,-2201,-1056,-5243,14788,167,-121,196,8881 } },
{ "Sigma SD14", 15, 16383, /* LibRaw */
{ 14082,-2201,-1056,-5243,14788,167,-121,196,8881 } },
{ "Sigma SD15", 15, 4095, /* LibRaw */
{ 14082,-2201,-1056,-5243,14788,167,-121,196,8881 } },
// Merills + SD1
{ "Sigma SD1", 31, 4095, /* LibRaw */
{ 5133,-1895,-353,4978,744,144,3837,3069,2777 } },
{ "Sigma DP1 Merrill", 31, 4095, /* LibRaw */
{ 5133,-1895,-353,4978,744,144,3837,3069,2777 } },
{ "Sigma DP2 Merrill", 31, 4095, /* LibRaw */
{ 5133,-1895,-353,4978,744,144,3837,3069,2777 } },
{ "Sigma DP3 Merrill", 31, 4095, /* LibRaw */
{ 5133,-1895,-353,4978,744,144,3837,3069,2777 } },
// Sigma DP (non-Merill Versions)
{ "Sigma DP", 0, 4095, /* LibRaw */
// { 7401,-1169,-567,2059,3769,1510,664,3367,5328 } },
{ 13100,-3638,-847,6855,2369,580,2723,3218,3251 } },
{ "Sinar", 0, 0, /* DJC */
{ 16442,-2956,-2422,-2877,12128,750,-1136,6066,4559 } },
{ "Sony DSC-F828", 0, 0,
{ 7924,-1910,-777,-8226,15459,2998,-1517,2199,6818,-7242,11401,3481 } },
{ "Sony DSC-R1", -512, 0,
{ 8512,-2641,-694,-8042,15670,2526,-1821,2117,7414 } },
{ "Sony DSC-V3", 0, 0,
{ 7511,-2571,-692,-7894,15088,3060,-948,1111,8128 } },
{ "Sony DSC-RX100M", -800, 0, /* M2 and M3 */
{ 6596,-2079,-562,-4782,13016,1933,-970,1581,5181 } },
{ "Sony DSC-RX100", -800, 0,
{ 8651,-2754,-1057,-3464,12207,1373,-568,1398,4434 } },
{"Sony DSC-RX10",0, 0,
{ 8562,-3595,-385,-2715,11089,1128,-1023,2081,4400 } },
{ "Sony DSC-RX1R", -512, 0,
{ 8195,-2800,-422,-4261,12273,1709,-1505,2400,5624 } },
{ "Sony DSC-RX1", -512, 0,
{ 6344,-1612,-462,-4863,12477,2681,-865,1786,6899 } },
{ "Sony DSLR-A100", 0, 0xfeb,
{ 9437,-2811,-774,-8405,16215,2290,-710,596,7181 } },
{ "Sony DSLR-A290", 0, 0,
{ 6038,-1484,-579,-9145,16746,2512,-875,746,7218 } },
{ "Sony DSLR-A2", 0, 0,
{ 9847,-3091,-928,-8485,16345,2225,-715,595,7103 } },
{ "Sony DSLR-A300", 0, 0,
{ 9847,-3091,-928,-8485,16345,2225,-715,595,7103 } },
{ "Sony DSLR-A330", 0, 0,
{ 9847,-3091,-929,-8485,16346,2225,-714,595,7103 } },
{ "Sony DSLR-A350", 0, 0xffc,
{ 6038,-1484,-578,-9146,16746,2513,-875,746,7217 } },
{ "Sony DSLR-A380", 0, 0,
{ 6038,-1484,-579,-9145,16746,2512,-875,746,7218 } },
{ "Sony DSLR-A390", 0, 0,
{ 6038,-1484,-579,-9145,16746,2512,-875,746,7218 } },
{ "Sony DSLR-A450", -512, 0xfeb,
{ 4950,-580,-103,-5228,12542,3029,-709,1435,7371 } },
{ "Sony DSLR-A580", -512, 0xfeb,
{ 5932,-1492,-411,-4813,12285,2856,-741,1524,6739 } },
{ "Sony DSLR-A500", -512, 0xfeb,
{ 6046,-1127,-278,-5574,13076,2786,-691,1419,7625 } },
{ "Sony DSLR-A5", -512, 0xfeb,
{ 4950,-580,-103,-5228,12542,3029,-709,1435,7371 } },
{ "Sony DSLR-A700", -512, 0,
{ 5775,-805,-359,-8574,16295,2391,-1943,2341,7249 } },
{ "Sony DSLR-A850", -512, 0,
{ 5413,-1162,-365,-5665,13098,2866,-608,1179,8440 } },
{ "Sony DSLR-A900", -512, 0,
{ 5209,-1072,-397,-8845,16120,2919,-1618,1803,8654 } },
{ "Sony ILCA-77M2", -512, 0,
{ 5991,-1732,-443,-4100,11989,2381,-704,1467,5992 } },
{ "Sony ILCE-7M2", -512, 0,
{ 5271,-712,-347,-6153,13653,2763,-1601,2366,7242 } },
{ "Sony ILCE-7S", -512, 0,
{ 5838,-1430,-246,-3497,11477,2297,-748,1885,5778 } },
{ "Sony ILCE-7R", -512, 0,
{ 4913,-541,-202,-6130,13513,2906,-1564,2151,7183 } },
{ "Sony ILCE-7", -512, 0,
{ 5271,-712,-347,-6153,13653,2763,-1601,2366,7242 } },
{ "Sony ILCE", -512, 0, /* 3000, 5000, 5100, 6000, and QX1 */
{ 5991,-1456,-455,-4764,12135,2980,-707,1425,6701 } },
{ "Sony NEX-5N", -512, 0,
{ 5991,-1456,-455,-4764,12135,2980,-707,1425,6701 } },
{ "Sony NEX-5R", -512, 0,
{ 6129,-1545,-418,-4930,12490,2743,-977,1693,6615 } },
{ "Sony NEX-5T", -512, 0,
{ 6129,-1545,-418,-4930,12490,2743,-977,1693,6615 } },
{ "Sony NEX-3N", -512, 0,
{ 6129,-1545,-418,-4930,12490,2743,-977,1693,6615 } },
{ "Sony NEX-3", -512, 0, /* Adobe */
{ 6549,-1550,-436,-4880,12435,2753,-854,1868,6976 } },
{ "Sony NEX-5", -512, 0, /* Adobe */
{ 6549,-1550,-436,-4880,12435,2753,-854,1868,6976 } },
{ "Sony NEX-6", -512, 0,
{ 6129,-1545,-418,-4930,12490,2743,-977,1693,6615 } },
{ "Sony NEX-7", -512, 0,
{ 5491,-1192,-363,-4951,12342,2948,-911,1722,7192 } },
{ "Sony NEX", -512, 0, /* NEX-C3, NEX-F3 */
{ 5991,-1456,-455,-4764,12135,2980,-707,1425,6701 } },
{ "Sony SLT-A33", -512, 0,
{ 6069,-1221,-366,-5221,12779,2734,-1024,2066,6834 } },
{ "Sony SLT-A35", -512, 0,
{ 5986,-1618,-415,-4557,11820,3120,-681,1404,6971 } },
{ "Sony SLT-A37", -512, 0,
{ 5991,-1456,-455,-4764,12135,2980,-707,1425,6701 } },
{ "Sony SLT-A55", -512, 0,
{ 5932,-1492,-411,-4813,12285,2856,-741,1524,6739 } },
{ "Sony SLT-A57", -512, 0,
{ 5991,-1456,-455,-4764,12135,2980,-707,1425,6701 } },
{ "Sony SLT-A58", -512, 0,
{ 5991,-1456,-455,-4764,12135,2980,-707,1425,6701 } },
{ "Sony SLT-A65", -512, 0,
{ 5491,-1192,-363,-4951,12342,2948,-911,1722,7192 } },
{ "Sony SLT-A77", -512, 0,
{ 5491,-1192,-363,-4951,12342,2948,-911,1722,7192 } },
{ "Sony SLT-A99", -512, 0,
{ 6344,-1612,-462,-4863,12477,2681,-865,1786,6899 } },
};
double cam_xyz[4][3];
char name[130];
int i, j;
int bl4=(cblack[0]+cblack[1]+cblack[2]+cblack[3])/4,bl64=0;
if(cblack[4]*cblack[5]>0)
{
for (unsigned c = 0; c < 4096 && c < cblack[4]*cblack[5]; c++)
bl64+=cblack[c+6];
bl64 /= cblack[4]*cblack[5];
}
int rblack = black+bl4+bl64;
sprintf (name, "%s %s", t_make, t_model);
for (i=0; i < sizeof table / sizeof *table; i++)
if (!strncasecmp(name, table[i].prefix, strlen(table[i].prefix))) {
if (table[i].t_black>0)
{
black = (ushort) table[i].t_black;
memset(cblack,0,sizeof(cblack));
}
else if(table[i].t_black <0 && rblack == 0 )
{
black = (ushort) (-table[i].t_black);
memset(cblack,0,sizeof(cblack));
}
if (table[i].t_maximum) maximum = (ushort) table[i].t_maximum;
if (table[i].trans[0]) {
for (raw_color = j=0; j < 12; j++)
#ifdef LIBRAW_LIBRARY_BUILD
if(internal_only)
imgdata.color.cam_xyz[0][j] = table[i].trans[j] / 10000.0;
else
imgdata.color.cam_xyz[0][j] =
#endif
cam_xyz[0][j] = table[i].trans[j] / 10000.0;
#ifdef LIBRAW_LIBRARY_BUILD
if(!internal_only)
#endif
cam_xyz_coeff (rgb_cam, cam_xyz);
}
break;
}
}
void CLASS simple_coeff (int index)
{
static const float table[][12] = {
/* index 0 -- all Foveon cameras */
{ 1.4032,-0.2231,-0.1016,-0.5263,1.4816,0.017,-0.0112,0.0183,0.9113 },
/* index 1 -- Kodak DC20 and DC25 */
{ 2.25,0.75,-1.75,-0.25,-0.25,0.75,0.75,-0.25,-0.25,-1.75,0.75,2.25 },
/* index 2 -- Logitech Fotoman Pixtura */
{ 1.893,-0.418,-0.476,-0.495,1.773,-0.278,-1.017,-0.655,2.672 },
/* index 3 -- Nikon E880, E900, and E990 */
{ -1.936280, 1.800443, -1.448486, 2.584324,
1.405365, -0.524955, -0.289090, 0.408680,
-1.204965, 1.082304, 2.941367, -1.818705 }
};
int i, c;
for (raw_color = i=0; i < 3; i++)
FORCC rgb_cam[i][c] = table[index][i*colors+c];
}
short CLASS guess_byte_order (int words)
{
uchar test[4][2];
int t=2, msb;
double diff, sum[2] = {0,0};
fread (test[0], 2, 2, ifp);
for (words-=2; words--; ) {
fread (test[t], 2, 1, ifp);
for (msb=0; msb < 2; msb++) {
diff = (test[t^2][msb] << 8 | test[t^2][!msb])
- (test[t ][msb] << 8 | test[t ][!msb]);
sum[msb] += diff*diff;
}
t = (t+1) & 3;
}
return sum[0] < sum[1] ? 0x4d4d : 0x4949;
}
float CLASS find_green (int bps, int bite, int off0, int off1)
{
UINT64 bitbuf=0;
int vbits, col, i, c;
ushort img[2][2064];
double sum[]={0,0};
FORC(2) {
fseek (ifp, c ? off1:off0, SEEK_SET);
for (vbits=col=0; col < width; col++) {
for (vbits -= bps; vbits < 0; vbits += bite) {
bitbuf <<= bite;
for (i=0; i < bite; i+=8)
bitbuf |= (unsigned) (fgetc(ifp) << i);
}
img[c][col] = bitbuf << (64-bps-vbits) >> (64-bps);
}
}
FORC(width-1) {
sum[ c & 1] += ABS(img[0][c]-img[1][c+1]);
sum[~c & 1] += ABS(img[1][c]-img[0][c+1]);
}
return 100 * log(sum[0]/sum[1]);
}
/*
Identify which camera created this file, and set global variables
accordingly.
*/
void CLASS identify()
{
static const short pana[][6] = {
{ 3130, 1743, 4, 0, -6, 0 },
{ 3130, 2055, 4, 0, -6, 0 },
{ 3130, 2319, 4, 0, -6, 0 },
{ 3170, 2103, 18, 0,-42, 20 },
{ 3170, 2367, 18, 13,-42,-21 },
{ 3177, 2367, 0, 0, -1, 0 },
{ 3304, 2458, 0, 0, -1, 0 },
{ 3330, 2463, 9, 0, -5, 0 },
{ 3330, 2479, 9, 0,-17, 4 },
{ 3370, 1899, 15, 0,-44, 20 },
{ 3370, 2235, 15, 0,-44, 20 },
{ 3370, 2511, 15, 10,-44,-21 },
{ 3690, 2751, 3, 0, -8, -3 },
{ 3710, 2751, 0, 0, -3, 0 },
{ 3724, 2450, 0, 0, 0, -2 },
{ 3770, 2487, 17, 0,-44, 19 },
{ 3770, 2799, 17, 15,-44,-19 },
{ 3880, 2170, 6, 0, -6, 0 },
{ 4060, 3018, 0, 0, 0, -2 },
{ 4290, 2391, 3, 0, -8, -1 },
{ 4330, 2439, 17, 15,-44,-19 },
{ 4508, 2962, 0, 0, -3, -4 },
{ 4508, 3330, 0, 0, -3, -6 },
};
static const ushort canon[][11] = {
{ 1944, 1416, 0, 0, 48, 0 },
{ 2144, 1560, 4, 8, 52, 2, 0, 0, 0, 25 },
{ 2224, 1456, 48, 6, 0, 2 },
{ 2376, 1728, 12, 6, 52, 2 },
{ 2672, 1968, 12, 6, 44, 2 },
{ 3152, 2068, 64, 12, 0, 0, 16 },
{ 3160, 2344, 44, 12, 4, 4 },
{ 3344, 2484, 4, 6, 52, 6 },
{ 3516, 2328, 42, 14, 0, 0 },
{ 3596, 2360, 74, 12, 0, 0 },
{ 3744, 2784, 52, 12, 8, 12 },
{ 3944, 2622, 30, 18, 6, 2 },
{ 3948, 2622, 42, 18, 0, 2 },
{ 3984, 2622, 76, 20, 0, 2, 14 },
{ 4104, 3048, 48, 12, 24, 12 },
{ 4116, 2178, 4, 2, 0, 0 },
{ 4152, 2772, 192, 12, 0, 0 },
{ 4160, 3124, 104, 11, 8, 65 },
{ 4176, 3062, 96, 17, 8, 0, 0, 16, 0, 7, 0x49 },
{ 4192, 3062, 96, 17, 24, 0, 0, 16, 0, 0, 0x49 },
{ 4312, 2876, 22, 18, 0, 2 },
{ 4352, 2874, 62, 18, 0, 0 },
{ 4476, 2954, 90, 34, 0, 0 },
{ 4480, 3348, 12, 10, 36, 12, 0, 0, 0, 18, 0x49 },
{ 4480, 3366, 80, 50, 0, 0 },
{ 4496, 3366, 80, 50, 12, 0 },
{ 4768, 3516, 96, 16, 0, 0, 0, 16 },
{ 4832, 3204, 62, 26, 0, 0 },
{ 4832, 3228, 62, 51, 0, 0 },
{ 5108, 3349, 98, 13, 0, 0 },
{ 5120, 3318, 142, 45, 62, 0 },
{ 5280, 3528, 72, 52, 0, 0 },
{ 5344, 3516, 142, 51, 0, 0 },
{ 5344, 3584, 126,100, 0, 2 },
{ 5360, 3516, 158, 51, 0, 0 },
{ 5568, 3708, 72, 38, 0, 0 },
{ 5632, 3710, 96, 17, 0, 0, 0, 16, 0, 0, 0x49 },
{ 5712, 3774, 62, 20, 10, 2 },
{ 5792, 3804, 158, 51, 0, 0 },
{ 5920, 3950, 122, 80, 2, 0 },
};
static const struct {
ushort id;
char t_model[20];
} unique[] = {
{ 0x001, "EOS-1D" },
{ 0x167, "EOS-1DS" },
{ 0x168, "EOS 10D" },
{ 0x169, "EOS-1D Mark III" },
{ 0x170, "EOS 300D" },
{ 0x174, "EOS-1D Mark II" },
{ 0x175, "EOS 20D" },
{ 0x176, "EOS 450D" },
{ 0x188, "EOS-1Ds Mark II" },
{ 0x189, "EOS 350D" },
{ 0x190, "EOS 40D" },
{ 0x213, "EOS 5D" },
{ 0x215, "EOS-1Ds Mark III" },
{ 0x218, "EOS 5D Mark II" },
{ 0x232, "EOS-1D Mark II N" },
{ 0x234, "EOS 30D" },
{ 0x236, "EOS 400D" },
{ 0x250, "EOS 7D" },
{ 0x252, "EOS 500D" },
{ 0x254, "EOS 1000D" },
{ 0x261, "EOS 50D" },
{ 0x269, "EOS-1D X" },
{ 0x270, "EOS 550D" },
{ 0x281, "EOS-1D Mark IV" },
{ 0x285, "EOS 5D Mark III" },
{ 0x286, "EOS 600D" },
{ 0x287, "EOS 60D" },
{ 0x288, "EOS 1100D" },
{ 0x289, "EOS 7D Mark II" },
{ 0x301, "EOS 650D" },
{ 0x302, "EOS 6D" },
{ 0x324, "EOS-1D C" },
{ 0x325, "EOS 70D" },
{ 0x326, "EOS 700D" },
{ 0x327, "EOS 1200D" },
{ 0x331, "EOS M" },
{ 0x335, "EOS M2" },
{ 0x346, "EOS 100D" },
{ 0x347, "EOS 760D" },
{ 0x382, "EOS 5DS" },
{ 0x393, "EOS 750D" },
{ 0x401, "EOS 5DS R" },
}, sonique[] = {
{ 0x002, "DSC-R1" }, { 0x100, "DSLR-A100" },
{ 0x101, "DSLR-A900" }, { 0x102, "DSLR-A700" },
{ 0x103, "DSLR-A200" }, { 0x104, "DSLR-A350" },
{ 0x105, "DSLR-A300" },
{262,"DSLR-A900"},
{263,"DSLR-A380"},
{ 0x108, "DSLR-A330" },
{ 0x109, "DSLR-A230" }, { 0x10a, "DSLR-A290" },
{ 0x10d, "DSLR-A850" },
{270,"DSLR-A850"},
{ 0x111, "DSLR-A550" },
{ 0x112, "DSLR-A500" }, { 0x113, "DSLR-A450" },
{ 0x116, "NEX-5" }, { 0x117, "NEX-3" },
{ 0x118, "SLT-A33" }, { 0x119, "SLT-A55V" },
{ 0x11a, "DSLR-A560" }, { 0x11b, "DSLR-A580" },
{ 0x11c, "NEX-C3" }, { 0x11d, "SLT-A35" },
{ 0x11e, "SLT-A65V" }, { 0x11f, "SLT-A77V" },
{ 0x120, "NEX-5N" }, { 0x121, "NEX-7" },
{290,"NEX-VG20E"},
{ 0x123, "SLT-A37" }, { 0x124, "SLT-A57" },
{ 0x125, "NEX-F3" }, { 0x126, "SLT-A99V" },
{ 0x127, "NEX-6" }, { 0x128, "NEX-5R" },
{ 0x129, "DSC-RX100" }, { 0x12a, "DSC-RX1" },
{299,"NEX-VG900"},
{300,"NEX-VG30E"},
{ 0x12e, "ILCE-3000" }, { 0x12f, "SLT-A58" },
{ 0x131, "NEX-3N" }, { 0x132, "ILCE-7" },
{ 0x133, "NEX-5T" }, { 0x134, "DSC-RX100M2" },
{ 0x135, "DSC-RX10" }, { 0x136, "DSC-RX1R" },
{ 0x137, "ILCE-7R" }, { 0x138, "ILCE-6000" },
{ 0x139, "ILCE-5000" }, { 0x13d, "DSC-RX100M3" },
{ 0x13e, "ILCE-7S" }, { 0x13f, "ILCA-77M2" },
{ 0x153, "ILCE-5100" }, { 0x154, "ILCE-7M2" },
{ 0x15a, "ILCE-QX1" },
};
static const struct {
unsigned fsize;
ushort rw, rh;
uchar lm, tm, rm, bm, lf, cf, max, flags;
char t_make[10], t_model[20];
ushort offset;
} table[] = {
{ 786432,1024, 768, 0, 0, 0, 0, 0,0x94,0,0,"AVT","F-080C" },
{ 1447680,1392,1040, 0, 0, 0, 0, 0,0x94,0,0,"AVT","F-145C" },
{ 1920000,1600,1200, 0, 0, 0, 0, 0,0x94,0,0,"AVT","F-201C" },
{ 5067304,2588,1958, 0, 0, 0, 0, 0,0x94,0,0,"AVT","F-510C" },
{ 5067316,2588,1958, 0, 0, 0, 0, 0,0x94,0,0,"AVT","F-510C",12 },
{ 10134608,2588,1958, 0, 0, 0, 0, 9,0x94,0,0,"AVT","F-510C" },
{ 10134620,2588,1958, 0, 0, 0, 0, 9,0x94,0,0,"AVT","F-510C",12 },
{ 16157136,3272,2469, 0, 0, 0, 0, 9,0x94,0,0,"AVT","F-810C" },
{ 15980544,3264,2448, 0, 0, 0, 0, 8,0x61,0,1,"AgfaPhoto","DC-833m" },
{ 9631728,2532,1902, 0, 0, 0, 0,96,0x61,0,0,"Alcatel","5035D" },
// Android Raw dumps id start
// File Size in bytes Horizontal Res Vertical Flag then bayer order eg 0x16 bbgr 0x94 rggb
{ 16424960,4208,3120, 0, 0, 0, 0, 1,0x16,0,0,"Sony","IMX135-mipi 13mp" },
{ 17522688,4212,3120, 0, 0, 0, 0, 0,0x16,0,0,"Sony","IMX135-QCOM" },
{ 10223360,2608,1960, 0, 0, 0, 0, 1,0x94,0,0,"Sony","IMX072-mipi" },
{ 5107712,2688,1520, 0, 0, 0, 0, 1,0x61,0,0,"HTC","UltraPixel" },
{ 1540857,2688,1520, 0, 0, 0, 0, 1,0x61,0,0,"Samsung","S3" },
{ 10223363,2688,1520, 0, 0, 0, 0, 1,0x61,0,0,"Samsung","GalaxyNexus" },
// Android Raw dumps id end
{ 2868726,1384,1036, 0, 0, 0, 0,64,0x49,0,8,"Baumer","TXG14",1078 },
{ 5298000,2400,1766,12,12,44, 2,40,0x94,0,2,"Canon","PowerShot SD300" },
{ 6553440,2664,1968, 4, 4,44, 4,40,0x94,0,2,"Canon","PowerShot A460" },
{ 6573120,2672,1968,12, 8,44, 0,40,0x94,0,2,"Canon","PowerShot A610" },
{ 6653280,2672,1992,10, 6,42, 2,40,0x94,0,2,"Canon","PowerShot A530" },
{ 7710960,2888,2136,44, 8, 4, 0,40,0x94,0,2,"Canon","PowerShot S3 IS" },
{ 9219600,3152,2340,36,12, 4, 0,40,0x94,0,2,"Canon","PowerShot A620" },
{ 9243240,3152,2346,12, 7,44,13,40,0x49,0,2,"Canon","PowerShot A470" },
{ 10341600,3336,2480, 6, 5,32, 3,40,0x94,0,2,"Canon","PowerShot A720 IS" },
{ 10383120,3344,2484,12, 6,44, 6,40,0x94,0,2,"Canon","PowerShot A630" },
{ 12945240,3736,2772,12, 6,52, 6,40,0x94,0,2,"Canon","PowerShot A640" },
{ 15636240,4104,3048,48,12,24,12,40,0x94,0,2,"Canon","PowerShot A650" },
{ 15467760,3720,2772, 6,12,30, 0,40,0x94,0,2,"Canon","PowerShot SX110 IS" },
{ 15534576,3728,2778,12, 9,44, 9,40,0x94,0,2,"Canon","PowerShot SX120 IS" },
{ 18653760,4080,3048,24,12,24,12,40,0x94,0,2,"Canon","PowerShot SX20 IS" },
{ 19131120,4168,3060,92,16, 4, 1,40,0x94,0,2,"Canon","PowerShot SX220 HS" },
{ 21936096,4464,3276,25,10,73,12,40,0x16,0,2,"Canon","PowerShot SX30 IS" },
{ 24724224,4704,3504, 8,16,56, 8,40,0x49,0,2,"Canon","PowerShot A3300 IS" },
{ 1976352,1632,1211, 0, 2, 0, 1, 0,0x94,0,1,"Casio","QV-2000UX" },
{ 3217760,2080,1547, 0, 0,10, 1, 0,0x94,0,1,"Casio","QV-3*00EX" },
{ 6218368,2585,1924, 0, 0, 9, 0, 0,0x94,0,1,"Casio","QV-5700" },
{ 7816704,2867,2181, 0, 0,34,36, 0,0x16,0,1,"Casio","EX-Z60" },
{ 2937856,1621,1208, 0, 0, 1, 0, 0,0x94,7,13,"Casio","EX-S20" },
{ 4948608,2090,1578, 0, 0,32,34, 0,0x94,7,1,"Casio","EX-S100" },
{ 6054400,2346,1720, 2, 0,32, 0, 0,0x94,7,1,"Casio","QV-R41" },
{ 7426656,2568,1928, 0, 0, 0, 0, 0,0x94,0,1,"Casio","EX-P505" },
{ 7530816,2602,1929, 0, 0,22, 0, 0,0x94,7,1,"Casio","QV-R51" },
{ 7542528,2602,1932, 0, 0,32, 0, 0,0x94,7,1,"Casio","EX-Z50" },
{ 7562048,2602,1937, 0, 0,25, 0, 0,0x16,7,1,"Casio","EX-Z500" },
{ 7753344,2602,1986, 0, 0,32,26, 0,0x94,7,1,"Casio","EX-Z55" },
{ 9313536,2858,2172, 0, 0,14,30, 0,0x94,7,1,"Casio","EX-P600" },
{ 10834368,3114,2319, 0, 0,27, 0, 0,0x94,0,1,"Casio","EX-Z750" },
{ 10843712,3114,2321, 0, 0,25, 0, 0,0x94,0,1,"Casio","EX-Z75" },
{ 10979200,3114,2350, 0, 0,32,32, 0,0x94,7,1,"Casio","EX-P700" },
{ 12310144,3285,2498, 0, 0, 6,30, 0,0x94,0,1,"Casio","EX-Z850" },
{ 12489984,3328,2502, 0, 0,47,35, 0,0x94,0,1,"Casio","EX-Z8" },
{ 15499264,3754,2752, 0, 0,82, 0, 0,0x94,0,1,"Casio","EX-Z1050" },
{ 18702336,4096,3044, 0, 0,24, 0,80,0x94,7,1,"Casio","EX-ZR100" },
{ 7684000,2260,1700, 0, 0, 0, 0,13,0x94,0,1,"Casio","QV-4000" },
{ 787456,1024, 769, 0, 1, 0, 0, 0,0x49,0,0,"Creative","PC-CAM 600" },
{ 28829184,4384,3288, 0, 0, 0, 0,36,0x61,0,0,"DJI" },
{ 15151104,4608,3288, 0, 0, 0, 0, 0,0x94,0,0,"Matrix" },
{ 3840000,1600,1200, 0, 0, 0, 0,65,0x49,0,0,"Foculus","531C" },
{ 307200, 640, 480, 0, 0, 0, 0, 0,0x94,0,0,"Generic" },
{ 62464, 256, 244, 1, 1, 6, 1, 0,0x8d,0,0,"Kodak","DC20" },
{ 124928, 512, 244, 1, 1,10, 1, 0,0x8d,0,0,"Kodak","DC20" },
{ 1652736,1536,1076, 0,52, 0, 0, 0,0x61,0,0,"Kodak","DCS200" },
{ 4159302,2338,1779, 1,33, 1, 2, 0,0x94,0,0,"Kodak","C330" },
{ 4162462,2338,1779, 1,33, 1, 2, 0,0x94,0,0,"Kodak","C330",3160 },
{ 2247168,1232, 912, 0, 0,16, 0, 0,0x00,0,0,"Kodak","C330" },
{ 3370752,1232, 912, 0, 0,16, 0, 0,0x00,0,0,"Kodak","C330" },
{ 6163328,2864,2152, 0, 0, 0, 0, 0,0x94,0,0,"Kodak","C603" },
{ 6166488,2864,2152, 0, 0, 0, 0, 0,0x94,0,0,"Kodak","C603",3160 },
{ 460800, 640, 480, 0, 0, 0, 0, 0,0x00,0,0,"Kodak","C603" },
{ 9116448,2848,2134, 0, 0, 0, 0, 0,0x00,0,0,"Kodak","C603" },
{ 12241200,4040,3030, 2, 0, 0,13, 0,0x49,0,0,"Kodak","12MP" },
{ 12272756,4040,3030, 2, 0, 0,13, 0,0x49,0,0,"Kodak","12MP",31556 },
{ 18000000,4000,3000, 0, 0, 0, 0, 0,0x00,0,0,"Kodak","12MP" },
{ 614400, 640, 480, 0, 3, 0, 0,64,0x94,0,0,"Kodak","KAI-0340" },
{ 15360000,3200,2400, 0, 0, 0, 0,96,0x16,0,0,"Lenovo","A820" },
{ 3884928,1608,1207, 0, 0, 0, 0,96,0x16,0,0,"Micron","2010",3212 },
{ 1138688,1534, 986, 0, 0, 0, 0, 0,0x61,0,0,"Minolta","RD175",513 },
{ 1581060,1305, 969, 0, 0,18, 6, 6,0x1e,4,1,"Nikon","E900" },
{ 2465792,1638,1204, 0, 0,22, 1, 6,0x4b,5,1,"Nikon","E950" },
{ 2940928,1616,1213, 0, 0, 0, 7,30,0x94,0,1,"Nikon","E2100" },
{ 4771840,2064,1541, 0, 0, 0, 1, 6,0xe1,0,1,"Nikon","E990" },
{ 4775936,2064,1542, 0, 0, 0, 0,30,0x94,0,1,"Nikon","E3700" },
{ 5865472,2288,1709, 0, 0, 0, 1, 6,0xb4,0,1,"Nikon","E4500" },
{ 5869568,2288,1710, 0, 0, 0, 0, 6,0x16,0,1,"Nikon","E4300" },
{ 7438336,2576,1925, 0, 0, 0, 1, 6,0xb4,0,1,"Nikon","E5000" },
{ 8998912,2832,2118, 0, 0, 0, 0,30,0x94,7,1,"Nikon","COOLPIX S6" },
{ 5939200,2304,1718, 0, 0, 0, 0,30,0x16,0,0,"Olympus","C770UZ" },
{ 3178560,2064,1540, 0, 0, 0, 0, 0,0x94,0,1,"Pentax","Optio S" },
{ 4841984,2090,1544, 0, 0,22, 0, 0,0x94,7,1,"Pentax","Optio S" },
{ 6114240,2346,1737, 0, 0,22, 0, 0,0x94,7,1,"Pentax","Optio S4" },
{ 10702848,3072,2322, 0, 0, 0,21,30,0x94,0,1,"Pentax","Optio 750Z" },
{ 13248000,2208,3000, 0, 0, 0, 0,13,0x61,0,0,"Pixelink","A782" },
{ 6291456,2048,1536, 0, 0, 0, 0,96,0x61,0,0,"RoverShot","3320AF" },
{ 311696, 644, 484, 0, 0, 0, 0, 0,0x16,0,8,"ST Micro","STV680 VGA" },
{ 16098048,3288,2448, 0, 0,24, 0, 9,0x94,0,1,"Samsung","S85" },
{ 16215552,3312,2448, 0, 0,48, 0, 9,0x94,0,1,"Samsung","S85" },
{ 20487168,3648,2808, 0, 0, 0, 0,13,0x94,5,1,"Samsung","WB550" },
{ 24000000,4000,3000, 0, 0, 0, 0,13,0x94,5,1,"Samsung","WB550" },
{ 12582980,3072,2048, 0, 0, 0, 0,33,0x61,0,0,"Sinar","",68 },
{ 33292868,4080,4080, 0, 0, 0, 0,33,0x61,0,0,"Sinar","",68 },
{ 44390468,4080,5440, 0, 0, 0, 0,33,0x61,0,0,"Sinar","",68 },
{ 1409024,1376,1024, 0, 0, 1, 0, 0,0x49,0,0,"Sony","XCD-SX910CR" },
{ 2818048,1376,1024, 0, 0, 1, 0,97,0x49,0,0,"Sony","XCD-SX910CR" },
};
static const char *corp[] =
{ "AgfaPhoto", "Canon", "Casio", "Epson", "Fujifilm",
"Mamiya", "Minolta", "Motorola", "Kodak", "Konica", "Leica",
"Nikon", "Nokia", "Olympus", "Pentax", "Phase One", "Ricoh",
"Samsung", "Sigma", "Sinar", "Sony" };
char head[32], *cp;
int hlen, flen, fsize, zero_fsize=1, i, c;
struct jhead jh;
tiff_flip = flip = filters = UINT_MAX; /* unknown */
raw_height = raw_width = fuji_width = fuji_layout = cr2_slice[0] = 0;
maximum = height = width = top_margin = left_margin = 0;
cdesc[0] = desc[0] = artist[0] = make[0] = model[0] = model2[0] = 0;
iso_speed = shutter = aperture = focal_len = unique_id = 0;
tiff_nifds = 0;
memset (tiff_ifd, 0, sizeof tiff_ifd);
memset (gpsdata, 0, sizeof gpsdata);
memset (cblack, 0, sizeof cblack);
memset (white, 0, sizeof white);
memset (mask, 0, sizeof mask);
thumb_offset = thumb_length = thumb_width = thumb_height = 0;
load_raw = thumb_load_raw = 0;
write_thumb = &CLASS jpeg_thumb;
data_offset = meta_offset = meta_length = tiff_bps = tiff_compress = 0;
kodak_cbpp = zero_after_ff = dng_version = load_flags = 0;
timestamp = shot_order = tiff_samples = black = is_foveon = 0;
mix_green = profile_length = data_error = zero_is_bad = 0;
pixel_aspect = is_raw = raw_color = 1;
tile_width = tile_length = 0;
for (i=0; i < 4; i++) {
cam_mul[i] = i == 1;
pre_mul[i] = i < 3;
FORC3 cmatrix[c][i] = 0;
FORC3 rgb_cam[c][i] = c == i;
}
colors = 3;
for (i=0; i < 0x10000; i++) curve[i] = i;
order = get2();
hlen = get4();
fseek (ifp, 0, SEEK_SET);
fread (head, 1, 32, ifp);
fseek (ifp, 0, SEEK_END);
flen = fsize = ftell(ifp);
if ((cp = (char *) memmem (head, 32, (char*)"MMMM", 4)) ||
(cp = (char *) memmem (head, 32, (char*)"IIII", 4))) {
parse_phase_one (cp-head);
if (cp-head && parse_tiff(0)) apply_tiff();
} else if (order == 0x4949 || order == 0x4d4d) {
if (!memcmp (head+6,"HEAPCCDR",8)) {
data_offset = hlen;
#ifdef LIBRAW_LIBRARY_BUILD
imgdata.lens.makernotes.CameraMount = LIBRAW_MOUNT_FixedLens;
imgdata.lens.makernotes.LensMount = LIBRAW_MOUNT_FixedLens;
#endif
parse_ciff (hlen, flen-hlen, 0);
load_raw = &CLASS canon_load_raw;
} else if (parse_tiff(0)) apply_tiff();
} else if (!memcmp (head,"\xff\xd8\xff\xe1",4) &&
!memcmp (head+6,"Exif",4)) {
fseek (ifp, 4, SEEK_SET);
data_offset = 4 + get2();
fseek (ifp, data_offset, SEEK_SET);
if (fgetc(ifp) != 0xff)
parse_tiff(12);
thumb_offset = 0;
} else if (!memcmp (head+25,"ARECOYK",7)) {
strcpy (make, "Contax");
strcpy (model,"N Digital");
fseek (ifp, 33, SEEK_SET);
get_timestamp(1);
fseek (ifp, 52, SEEK_SET);
switch (get4()) {
case 7: iso_speed = 25; break;
case 8: iso_speed = 32; break;
case 9: iso_speed = 40; break;
case 10: iso_speed = 50; break;
case 11: iso_speed = 64; break;
case 12: iso_speed = 80; break;
case 13: iso_speed = 100; break;
case 14: iso_speed = 125; break;
case 15: iso_speed = 160; break;
case 16: iso_speed = 200; break;
case 17: iso_speed = 250; break;
case 18: iso_speed = 320; break;
case 19: iso_speed = 400; break;
}
shutter = powf64(2.0f, (((float)get4())/8.0f)) / 16000.0f;
FORC4 cam_mul[c ^ (c >> 1)] = get4();
fseek (ifp, 88, SEEK_SET);
aperture = powf64(2.0f, ((float)get4())/16.0f);
fseek (ifp, 112, SEEK_SET);
focal_len = get4();
#ifdef LIBRAW_LIBRARY_BUILD
fseek (ifp, 104, SEEK_SET);
imgdata.lens.makernotes.MaxAp4CurFocal = powf64(2.0f, ((float)get4())/16.0f);
fseek (ifp, 124, SEEK_SET);
fread(imgdata.lens.makernotes.Lens, 32, 1, ifp);
imgdata.lens.makernotes.CameraMount = LIBRAW_MOUNT_Contax_N;
if (imgdata.lens.makernotes.Lens[0])
imgdata.lens.makernotes.LensMount = LIBRAW_MOUNT_Contax_N;
#endif
} else if (!strcmp (head, "PXN")) {
strcpy (make, "Logitech");
strcpy (model,"Fotoman Pixtura");
} else if (!strcmp (head, "qktk")) {
strcpy (make, "Apple");
strcpy (model,"QuickTake 100");
load_raw = &CLASS quicktake_100_load_raw;
} else if (!strcmp (head, "qktn")) {
strcpy (make, "Apple");
strcpy (model,"QuickTake 150");
load_raw = &CLASS kodak_radc_load_raw;
} else if (!memcmp (head,"FUJIFILM",8)) {
fseek (ifp, 84, SEEK_SET);
thumb_offset = get4();
thumb_length = get4();
fseek (ifp, 92, SEEK_SET);
parse_fuji (get4());
if (thumb_offset > 120) {
fseek (ifp, 120, SEEK_SET);
is_raw += (i = get4()) && 1;
if (is_raw == 2 && shot_select)
parse_fuji (i);
}
load_raw = &CLASS unpacked_load_raw;
fseek (ifp, 100+28*(shot_select > 0), SEEK_SET);
parse_tiff (data_offset = get4());
parse_tiff (thumb_offset+12);
apply_tiff();
} else if (!memcmp (head,"RIFF",4)) {
fseek (ifp, 0, SEEK_SET);
parse_riff();
} else if (!memcmp (head+4,"ftypqt ",9)) {
fseek (ifp, 0, SEEK_SET);
parse_qt (fsize);
is_raw = 0;
} else if (!memcmp (head,"\0\001\0\001\0@",6)) {
fseek (ifp, 6, SEEK_SET);
fread (make, 1, 8, ifp);
fread (model, 1, 8, ifp);
fread (model2, 1, 16, ifp);
data_offset = get2();
get2();
raw_width = get2();
raw_height = get2();
load_raw = &CLASS nokia_load_raw;
filters = 0x61616161;
} else if (!memcmp (head,"NOKIARAW",8)) {
strcpy (make, "NOKIA");
order = 0x4949;
fseek (ifp, 300, SEEK_SET);
data_offset = get4();
i = get4();
width = get2();
height = get2();
switch (tiff_bps = i*8 / (width * height)) {
case 8: load_raw = &CLASS eight_bit_load_raw; break;
case 10: load_raw = &CLASS nokia_load_raw;
}
raw_height = height + (top_margin = i / (width * tiff_bps/8) - height);
mask[0][3] = 1;
filters = 0x61616161;
} else if (!memcmp (head,"ARRI",4)) {
order = 0x4949;
fseek (ifp, 20, SEEK_SET);
width = get4();
height = get4();
strcpy (make, "ARRI");
fseek (ifp, 668, SEEK_SET);
fread (model, 1, 64, ifp);
data_offset = 4096;
load_raw = &CLASS packed_load_raw;
load_flags = 88;
filters = 0x61616161;
} else if (!memcmp (head,"XPDS",4)) {
order = 0x4949;
fseek (ifp, 0x800, SEEK_SET);
fread (make, 1, 41, ifp);
raw_height = get2();
raw_width = get2();
fseek (ifp, 56, SEEK_CUR);
fread (model, 1, 30, ifp);
data_offset = 0x10000;
load_raw = &CLASS canon_rmf_load_raw;
gamma_curve (0, 12.25, 1, 1023);
} else if (!memcmp (head+4,"RED1",4)) {
strcpy (make, "Red");
strcpy (model,"One");
parse_redcine();
load_raw = &CLASS redcine_load_raw;
gamma_curve (1/2.4, 12.92, 1, 4095);
filters = 0x49494949;
} else if (!memcmp (head,"DSC-Image",9))
parse_rollei();
else if (!memcmp (head,"PWAD",4))
parse_sinar_ia();
else if (!memcmp (head,"\0MRM",4))
parse_minolta(0);
else if (!memcmp (head,"FOVb",4))
{
#ifdef LIBRAW_LIBRARY_BUILD
#ifdef LIBRAW_DEMOSAIC_PACK_GPL2
if(!imgdata.params.force_foveon_x3f)
parse_foveon();
else
#endif
parse_x3f();
#else
#ifdef LIBRAW_DEMOSAIC_PACK_GPL2
parse_foveon();
#endif
#endif
}
else if (!memcmp (head,"CI",2))
parse_cine();
else
for (zero_fsize=i=0; i < sizeof table / sizeof *table; i++)
if (fsize == table[i].fsize) {
strcpy (make, table[i].t_make );
#ifdef LIBRAW_LIBRARY_BUILD
if (!strcmp(make, "Canon"))
{
imgdata.lens.makernotes.CameraMount = LIBRAW_MOUNT_FixedLens;
imgdata.lens.makernotes.LensMount = LIBRAW_MOUNT_FixedLens;
}
#endif
strcpy (model, table[i].t_model);
flip = table[i].flags >> 2;
zero_is_bad = table[i].flags & 2;
if (table[i].flags & 1)
parse_external_jpeg();
data_offset = table[i].offset;
raw_width = table[i].rw;
raw_height = table[i].rh;
left_margin = table[i].lm;
top_margin = table[i].tm;
width = raw_width - left_margin - table[i].rm;
height = raw_height - top_margin - table[i].bm;
filters = 0x1010101 * table[i].cf;
colors = 4 - !((filters & filters >> 1) & 0x5555);
load_flags = table[i].lf;
switch (tiff_bps = (fsize-data_offset)*8 / (raw_width*raw_height)) {
case 6:
load_raw = &CLASS minolta_rd175_load_raw; break;
case 8:
load_raw = &CLASS eight_bit_load_raw; break;
case 10:
if ((fsize-data_offset)/raw_height*3 >= raw_width*4) {
load_raw = &CLASS android_loose_load_raw; break;
} else if (load_flags & 1) {
load_raw = &CLASS android_tight_load_raw; break;
}
case 12:
load_flags |= 128;
load_raw = &CLASS packed_load_raw; break;
case 16:
order = 0x4949 | 0x404 * (load_flags & 1);
tiff_bps -= load_flags >> 4;
tiff_bps -= load_flags = load_flags >> 1 & 7;
load_raw = &CLASS unpacked_load_raw;
}
maximum = (1 << tiff_bps) - (1 << table[i].max);
}
if (zero_fsize) fsize = 0;
if (make[0] == 0) parse_smal (0, flen);
if (make[0] == 0) {
parse_jpeg(0);
fseek(ifp,0,SEEK_END);
int sz = ftell(ifp);
if (!(strncmp(model,"ov",2) && strncmp(model,"RP_OV",5)) && sz>=6404096 &&
!fseek (ifp, -6404096, SEEK_END) &&
fread (head, 1, 32, ifp) && !strcmp(head,"BRCMn")) {
strcpy (make, "OmniVision");
data_offset = ftell(ifp) + 0x8000-32;
width = raw_width;
raw_width = 2611;
load_raw = &CLASS nokia_load_raw;
filters = 0x16161616;
} else is_raw = 0;
}
for (i=0; i < sizeof corp / sizeof *corp; i++)
if (strcasestr (make, corp[i])) /* Simplify company names */
strcpy (make, corp[i]);
if ((!strcmp(make,"Kodak") || !strcmp(make,"Leica")) &&
((cp = strcasestr(model," DIGITAL CAMERA")) ||
(cp = strstr(model,"FILE VERSION"))))
*cp = 0;
if (!strncasecmp(model,"PENTAX",6))
strcpy (make, "Pentax");
cp = make + strlen(make); /* Remove trailing spaces */
while (*--cp == ' ') *cp = 0;
cp = model + strlen(model);
while (*--cp == ' ') *cp = 0;
i = strlen(make); /* Remove make from model */
if (!strncasecmp (model, make, i) && model[i++] == ' ')
memmove (model, model+i, 64-i);
if (!strncmp (model,"FinePix ",8))
strcpy (model, model+8);
if (!strncmp (model,"Digital Camera ",15))
strcpy (model, model+15);
desc[511] = artist[63] = make[63] = model[63] = model2[63] = 0;
if (!is_raw) goto notraw;
if (!height) height = raw_height;
if (!width) width = raw_width;
if (height == 2624 && width == 3936) /* Pentax K10D and Samsung GX10 */
{ height = 2616; width = 3896; }
if (height == 3136 && width == 4864) /* Pentax K20D and Samsung GX20 */
{ height = 3124; width = 4688; filters = 0x16161616; }
if (width == 4352 && (!strcmp(model,"K-r") || !strcmp(model,"K-x")))
{ width = 4309; filters = 0x16161616; }
if (width >= 4960 && !strncmp(model,"K-5",3))
{ left_margin = 10; width = 4950; filters = 0x16161616; }
if (width == 4736 && !strcmp(model,"K-7"))
{ height = 3122; width = 4684; filters = 0x16161616; top_margin = 2; }
if (width == 6080 && !strcmp(model,"K-3"))
{ left_margin = 4; width = 6040; }
if (width == 7424 && !strcmp(model,"645D"))
{ height = 5502; width = 7328; filters = 0x61616161; top_margin = 29;
left_margin = 48; }
if (height == 3014 && width == 4096) /* Ricoh GX200 */
width = 4014;
if (dng_version) {
if (filters == UINT_MAX) filters = 0;
if (filters) is_raw = tiff_samples;
else colors = tiff_samples;
switch (tiff_compress) {
case 0: /* Compression not set, assuming uncompressed */
case 1: load_raw = &CLASS packed_dng_load_raw; break;
case 7: load_raw = &CLASS lossless_dng_load_raw; break;
case 34892: load_raw = &CLASS lossy_dng_load_raw; break;
default: load_raw = 0;
}
if (!strcmp(make, "Canon") && unique_id)
{
for (i = 0; i < sizeof unique / sizeof *unique; i++)
if (unique_id == 0x80000000 + unique[i].id)
{
strcpy(model, unique[i].t_model);
break;
}
}
if (!strcasecmp(make, "Sony") && unique_id)
{
for (i = 0; i < sizeof sonique / sizeof *sonique; i++)
if (unique_id == sonique[i].id)
{
strcpy(model, sonique[i].t_model);
break;
}
}
goto dng_skip;
}
if (!strcmp(make,"Canon") && !fsize && tiff_bps != 15) {
if (!load_raw)
load_raw = &CLASS lossless_jpeg_load_raw;
for (i=0; i < sizeof canon / sizeof *canon; i++)
if (raw_width == canon[i][0] && raw_height == canon[i][1]) {
width = raw_width - (left_margin = canon[i][2]);
height = raw_height - (top_margin = canon[i][3]);
width -= canon[i][4];
height -= canon[i][5];
mask[0][1] = canon[i][6];
mask[0][3] = -canon[i][7];
mask[1][1] = canon[i][8];
mask[1][3] = -canon[i][9];
if (canon[i][10]) filters = canon[i][10] * 0x01010101;
}
if ((unique_id | 0x20000) == 0x2720000) {
left_margin = 8;
top_margin = 16;
}
}
if (!strcmp(make,"Canon") && unique_id)
{
for (i=0; i < sizeof unique / sizeof *unique; i++)
if (unique_id == 0x80000000 + unique[i].id)
{
adobe_coeff ("Canon", unique[i].t_model);
strcpy(model,unique[i].t_model);
}
}
if (!strcasecmp(make,"Sony") && unique_id)
{
for (i=0; i < sizeof sonique / sizeof *sonique; i++)
if (unique_id == sonique[i].id)
{
adobe_coeff ("Sony", sonique[i].t_model);
strcpy(model,sonique[i].t_model);
}
}
if (!strcmp(make,"Nikon")) {
if (!load_raw)
load_raw = &CLASS packed_load_raw;
if (model[0] == 'E')
load_flags |= !data_offset << 2 | 2;
}
/* Set parameters based on camera name (for non-DNG files). */
if (!strcmp(model,"KAI-0340")
&& find_green (16, 16, 3840, 5120) < 25) {
height = 480;
top_margin = filters = 0;
strcpy (model,"C603");
}
if (is_foveon) {
if (height*2 < width) pixel_aspect = 0.5;
if (height > width) pixel_aspect = 2;
filters = 0;
#ifdef LIBRAW_DEMOSAIC_PACK_GPL2
if(!imgdata.params.force_foveon_x3f)
simple_coeff(0);
#endif
} else if (!strcmp(make,"Canon") && tiff_bps == 15) {
switch (width) {
case 3344: width -= 66;
case 3872: width -= 6;
}
if (height > width) SWAP(height,width);
filters = 0;
tiff_samples = colors = 3;
load_raw = &CLASS canon_sraw_load_raw;
} else if (!strcmp(model,"PowerShot 600")) {
height = 613;
width = 854;
raw_width = 896;
colors = 4;
filters = 0xe1e4e1e4;
load_raw = &CLASS canon_600_load_raw;
} else if (!strcmp(model,"PowerShot A5") ||
!strcmp(model,"PowerShot A5 Zoom")) {
height = 773;
width = 960;
raw_width = 992;
pixel_aspect = 256/235.0;
filters = 0x1e4e1e4e;
goto canon_a5;
} else if (!strcmp(model,"PowerShot A50")) {
height = 968;
width = 1290;
raw_width = 1320;
filters = 0x1b4e4b1e;
goto canon_a5;
} else if (!strcmp(model,"PowerShot Pro70")) {
height = 1024;
width = 1552;
filters = 0x1e4b4e1b;
canon_a5:
colors = 4;
tiff_bps = 10;
load_raw = &CLASS packed_load_raw;
load_flags = 40;
} else if (!strcmp(model,"PowerShot Pro90 IS") ||
!strcmp(model,"PowerShot G1")) {
colors = 4;
filters = 0xb4b4b4b4;
} else if (!strcmp(model,"PowerShot A610")) {
if (canon_s2is()) strcpy (model+10, "S2 IS");
} else if (!strcmp(model,"PowerShot SX220 HS")) {
mask[1][3] = -4;
top_margin=16;
left_margin = 92;
} else if (!strcmp(model,"PowerShot S120")) {
raw_width = 4192;
raw_height = 3062;
width = 4022;
height = 3016;
mask[0][0] = top_margin = 31;
mask[0][2] = top_margin + height;
left_margin = 120;
mask[0][1] = 23;
mask[0][3] = 72;
} else if (!strcmp(model,"PowerShot G16")) {
mask[0][0] = 0;
mask[0][2] = 80;
mask[0][1] = 0;
mask[0][3] = 16;
top_margin = 29;
left_margin = 120;
width = raw_width-left_margin-48;
height = raw_height-top_margin-14;
} else if (!strcmp(model,"PowerShot SX50 HS")) {
top_margin = 17;
} else if (!strcmp(model,"EOS D2000C")) {
filters = 0x61616161;
black = curve[200];
} else if (!strcmp(model,"D1")) {
cam_mul[0] *= 256/527.0;
cam_mul[2] *= 256/317.0;
} else if (!strcmp(model,"D1X")) {
width -= 4;
pixel_aspect = 0.5;
} else if (!strcmp(model,"D40X") ||
!strcmp(model,"D60") ||
!strcmp(model,"D80") ||
!strcmp(model,"D3000")) {
height -= 3;
width -= 4;
} else if (!strcmp(model,"D3") ||
!strcmp(model,"D3S") ||
!strcmp(model,"D700")) {
width -= 4;
left_margin = 2;
} else if (!strcmp(model,"D3100")) {
width -= 28;
left_margin = 6;
} else if (!strcmp(model,"D5000") ||
!strcmp(model,"D90")) {
width -= 42;
} else if (!strcmp(model,"D5100") ||
!strcmp(model,"D7000") ||
!strcmp(model,"COOLPIX A")) {
width -= 44;
} else if (!strcmp(model,"D3200") ||
!strncmp(model,"D6",2) ||
!strncmp(model,"D800",4)) {
width -= 46;
} else if (!strcmp(model,"D4") ||
!strcmp(model,"Df")) {
width -= 52;
left_margin = 2;
} else if (!strncmp(model,"D40",3) ||
!strncmp(model,"D50",3) ||
!strncmp(model,"D70",3)) {
width--;
} else if (!strcmp(model,"D100")) {
if (load_flags)
raw_width = (width += 3) + 3;
} else if (!strcmp(model,"D200")) {
left_margin = 1;
width -= 4;
filters = 0x94949494;
} else if (!strncmp(model,"D2H",3)) {
left_margin = 6;
width -= 14;
} else if (!strncmp(model,"D2X",3)) {
if (width == 3264) width -= 32;
else width -= 8;
} else if (!strncmp(model,"D300",4)) {
width -= 32;
} else if (!strcmp(make,"Nikon") && raw_width == 4032) {
if(!strcmp(model,"COOLPIX P7700"))
{
adobe_coeff ("Nikon","COOLPIX P7700");
maximum = 65504;
load_flags = 0;
}
else if(!strcmp(model,"COOLPIX P7800"))
{
adobe_coeff ("Nikon","COOLPIX P7800");
maximum = 65504;
load_flags = 0;
}
else if(!strcmp(model,"COOLPIX P340"))
load_flags=0;
} else if (!strncmp(model,"COOLPIX P",9) && raw_width != 4032) {
load_flags = 24;
filters = 0x94949494;
if (model[9] == '7' && iso_speed >= 400)
black = 255;
} else if (!strncmp(model,"1 ",2)) {
height -= 2;
} else if (fsize == 1581060) {
simple_coeff(3);
pre_mul[0] = 1.2085;
pre_mul[1] = 1.0943;
pre_mul[3] = 1.1103;
} else if (fsize == 3178560) {
cam_mul[0] *= 4;
cam_mul[2] *= 4;
} else if (fsize == 4771840) {
if (!timestamp && nikon_e995())
strcpy (model, "E995");
if (strcmp(model,"E995")) {
filters = 0xb4b4b4b4;
simple_coeff(3);
pre_mul[0] = 1.196;
pre_mul[1] = 1.246;
pre_mul[2] = 1.018;
}
} else if (fsize == 2940928) {
if (!timestamp && !nikon_e2100())
strcpy (model,"E2500");
if (!strcmp(model,"E2500")) {
height -= 2;
load_flags = 6;
colors = 4;
filters = 0x4b4b4b4b;
}
} else if (fsize == 4775936) {
if (!timestamp) nikon_3700();
if (model[0] == 'E' && atoi(model+1) < 3700)
filters = 0x49494949;
if (!strcmp(model,"Optio 33WR")) {
flip = 1;
filters = 0x16161616;
}
if (make[0] == 'O') {
i = find_green (12, 32, 1188864, 3576832);
c = find_green (12, 32, 2383920, 2387016);
if (abs(i) < abs(c)) {
SWAP(i,c);
load_flags = 24;
}
if (i < 0) filters = 0x61616161;
}
} else if (fsize == 5869568) {
if (!timestamp && minolta_z2()) {
strcpy (make, "Minolta");
strcpy (model,"DiMAGE Z2");
}
load_flags = 6 + 24*(make[0] == 'M');
} else if (fsize == 6291456) {
fseek (ifp, 0x300000, SEEK_SET);
if ((order = guess_byte_order(0x10000)) == 0x4d4d) {
height -= (top_margin = 16);
width -= (left_margin = 28);
maximum = 0xf5c0;
strcpy (make, "ISG");
model[0] = 0;
}
} else if (!strcmp(make,"Fujifilm")) {
if (!strcmp(model+7,"S2Pro")) {
strcpy (model,"S2Pro");
height = 2144;
width = 2880;
flip = 6;
} else if (load_raw != &CLASS packed_load_raw)
maximum = (is_raw == 2 && shot_select) ? 0x2f00 : 0x3e00;
top_margin = (raw_height - height) >> 2 << 1;
left_margin = (raw_width - width ) >> 2 << 1;
if (width == 2848 || width == 3664) filters = 0x16161616;
if (width == 4032 || width == 4952) left_margin = 0;
if (width == 3328 && (width -= 66)) left_margin = 34;
if (width == 4936) left_margin = 4;
if (!strcmp(model,"HS50EXR") ||
!strcmp(model,"F900EXR")) {
width += 2;
left_margin = 0;
filters = 0x16161616;
}
if(!strcmp(model,"S5500"))
{
height -= (top_margin=6);
}
if (fuji_layout) raw_width *= is_raw;
if (filters == 9)
FORC(36) xtrans[0][c] =
xtrans_abs[(c/6+top_margin) % 6][(c+left_margin) % 6];
} else if (!strcmp(model,"KD-400Z")) {
height = 1712;
width = 2312;
raw_width = 2336;
goto konica_400z;
} else if (!strcmp(model,"KD-510Z")) {
goto konica_510z;
} else if (!strcasecmp(make,"Minolta")) {
if (!load_raw && (maximum = 0xfff))
load_raw = &CLASS unpacked_load_raw;
if (!strncmp(model,"DiMAGE A",8)) {
if (!strcmp(model,"DiMAGE A200"))
filters = 0x49494949;
tiff_bps = 12;
load_raw = &CLASS packed_load_raw;
} else if (!strncmp(model,"ALPHA",5) ||
!strncmp(model,"DYNAX",5) ||
!strncmp(model,"MAXXUM",6)) {
sprintf (model+20, "DYNAX %-10s", model+6+(model[0]=='M'));
adobe_coeff (make, model+20);
load_raw = &CLASS packed_load_raw;
} else if (!strncmp(model,"DiMAGE G",8)) {
if (model[8] == '4') {
height = 1716;
width = 2304;
} else if (model[8] == '5') {
konica_510z:
height = 1956;
width = 2607;
raw_width = 2624;
} else if (model[8] == '6') {
height = 2136;
width = 2848;
}
data_offset += 14;
filters = 0x61616161;
konica_400z:
load_raw = &CLASS unpacked_load_raw;
maximum = 0x3df;
order = 0x4d4d;
}
} else if (!strcmp(model,"*ist D")) {
load_raw = &CLASS unpacked_load_raw;
data_error = -1;
} else if (!strcmp(model,"*ist DS")) {
height -= 2;
} else if (!strcmp(make,"Samsung") && raw_width == 4704) {
height -= top_margin = 8;
width -= 2 * (left_margin = 8);
load_flags = 32;
} else if (!strcmp(make,"Samsung") && !strcmp(model,"NX3000")) {
top_margin = 24;
left_margin = 64;
width = 5472;
height = 3648;
filters = 0x61616161;
colors = 3;
} else if (!strcmp(make,"Samsung") && raw_height == 3714) {
height -= top_margin = 18;
left_margin = raw_width - (width = 5536);
if (raw_width != 5600)
left_margin = top_margin = 0;
filters = 0x61616161;
colors = 3;
} else if (!strcmp(make,"Samsung") && raw_width == 5632) {
order = 0x4949;
height = 3694;
top_margin = 2;
width = 5574 - (left_margin = 32 + tiff_bps);
if (tiff_bps == 12) load_flags = 80;
} else if (!strcmp(make,"Samsung") && raw_width == 5664) {
height -= top_margin = 17;
left_margin = 96;
width = 5544;
filters = 0x49494949;
} else if (!strcmp(make,"Samsung") && raw_width == 6496) {
filters = 0x61616161;
} else if (!strcmp(model,"EX1")) {
order = 0x4949;
height -= 20;
top_margin = 2;
if ((width -= 6) > 3682) {
height -= 10;
width -= 46;
top_margin = 8;
}
} else if (!strcmp(model,"WB2000")) {
order = 0x4949;
height -= 3;
top_margin = 2;
if ((width -= 10) > 3718) {
height -= 28;
width -= 56;
top_margin = 8;
}
} else if (strstr(model,"WB550")) {
strcpy (model, "WB550");
} else if (!strcmp(model,"EX2F")) {
height = 3045;
width = 4070;
top_margin = 3;
order = 0x4949;
filters = 0x49494949;
load_raw = &CLASS unpacked_load_raw;
} else if (!strcmp(model,"STV680 VGA")) {
black = 16;
} else if (!strcmp(model,"N95")) {
height = raw_height - (top_margin = 2);
} else if (!strcmp(model,"640x480")) {
gamma_curve (0.45, 4.5, 1, 255);
} else if (!strcmp(make,"Hasselblad")) {
if (load_raw == &CLASS lossless_jpeg_load_raw)
load_raw = &CLASS hasselblad_load_raw;
if (raw_width == 7262) {
height = 5444;
width = 7248;
top_margin = 4;
left_margin = 7;
filters = 0x61616161;
if(!strcasecmp(model,"H3D"))
{
adobe_coeff("Hasselblad","H3DII-39");
strcpy(model,"H3DII-39");
}
} else if (raw_width == 7410 || raw_width == 8282) {
height -= 84;
width -= 82;
top_margin = 4;
left_margin = 41;
filters = 0x61616161;
adobe_coeff("Hasselblad","H4D-40");
strcpy(model,"H4D-40");
} else if (raw_width == 9044) {
if(black > 500)
{
top_margin = 12;
left_margin = 44;
width = 8956;
height = 6708;
memset(cblack,0,sizeof(cblack));
adobe_coeff("Hasselblad","H4D-60");
strcpy(model,"H4D-60");
black = 512;
}
else
{
height = 6716;
width = 8964;
top_margin = 8;
left_margin = 40;
black += load_flags = 256;
maximum = 0x8101;
strcpy(model,"H3DII-60");
}
} else if (raw_width == 4090) {
strcpy (model, "V96C");
height -= (top_margin = 6);
width -= (left_margin = 3) + 7;
filters = 0x61616161;
} else if (raw_width == 8282 && raw_height == 6240) {
if(!strcasecmp(model,"H5D"))
{
/* H5D 50*/
left_margin = 54;
top_margin = 16;
width = 8176;
height = 6132;
black = 256;
strcpy(model,"H5D-50");
}
else if(!strcasecmp(model,"H3D"))
{
black=0;
left_margin = 54;
top_margin = 16;
width = 8176;
height = 6132;
memset(cblack,0,sizeof(cblack));
adobe_coeff("Hasselblad","H3D-50");
strcpy(model,"H3D-50");
}
} else if (raw_width == 8374 && raw_height == 6304) {
/* H5D 50c*/
left_margin = 52;
top_margin = 100;
width = 8272;
height = 6200;
black = 256;
strcpy(model,"H5D-50c");
}
if (tiff_samples > 1) {
is_raw = tiff_samples+1;
if (!shot_select && !half_size) filters = 0;
}
} else if (!strcmp(make,"Sinar")) {
if (!load_raw) load_raw = &CLASS unpacked_load_raw;
if (is_raw > 1 && !shot_select && !half_size) filters = 0;
maximum = 0x3fff;
} else if (!strcmp(make,"Leaf")) {
maximum = 0x3fff;
fseek (ifp, data_offset, SEEK_SET);
if (ljpeg_start (&jh, 1) && jh.bits == 15)
maximum = 0x1fff;
if (tiff_samples > 1) filters = 0;
if (tiff_samples > 1 || tile_length < raw_height) {
load_raw = &CLASS leaf_hdr_load_raw;
raw_width = tile_width;
}
if ((width | height) == 2048) {
if (tiff_samples == 1) {
filters = 1;
strcpy (cdesc, "RBTG");
strcpy (model, "CatchLight");
top_margin = 8; left_margin = 18; height = 2032; width = 2016;
} else {
strcpy (model, "DCB2");
top_margin = 10; left_margin = 16; height = 2028; width = 2022;
}
} else if (width+height == 3144+2060) {
if (!model[0]) strcpy (model, "Cantare");
if (width > height) {
top_margin = 6; left_margin = 32; height = 2048; width = 3072;
filters = 0x61616161;
} else {
left_margin = 6; top_margin = 32; width = 2048; height = 3072;
filters = 0x16161616;
}
if (!cam_mul[0] || model[0] == 'V') filters = 0;
else is_raw = tiff_samples;
} else if (width == 2116) {
strcpy (model, "Valeo 6");
height -= 2 * (top_margin = 30);
width -= 2 * (left_margin = 55);
filters = 0x49494949;
} else if (width == 3171) {
strcpy (model, "Valeo 6");
height -= 2 * (top_margin = 24);
width -= 2 * (left_margin = 24);
filters = 0x16161616;
}
} else if (!strcmp(make,"Leica") || !strcmp(make,"Panasonic")) {
if ((flen - data_offset) / (raw_width*8/7) == raw_height)
load_raw = &CLASS panasonic_load_raw;
if (!load_raw) {
load_raw = &CLASS unpacked_load_raw;
load_flags = 4;
}
zero_is_bad = 1;
if ((height += 12) > raw_height) height = raw_height;
for (i=0; i < sizeof pana / sizeof *pana; i++)
if (raw_width == pana[i][0] && raw_height == pana[i][1]) {
left_margin = pana[i][2];
top_margin = pana[i][3];
width += pana[i][4];
height += pana[i][5];
}
filters = 0x01010101 * (uchar) "\x94\x61\x49\x16"
[((filters-1) ^ (left_margin & 1) ^ (top_margin << 1)) & 3];
} else if (!strcmp(model,"C770UZ")) {
height = 1718;
width = 2304;
filters = 0x16161616;
load_raw = &CLASS packed_load_raw;
load_flags = 30;
} else if (!strcmp(make,"Olympus")) {
height += height & 1;
if (exif_cfa) filters = exif_cfa;
if (width == 4100) width -= 4;
if (width == 4080) width -= 24;
if (width == 9280) { width -= 6; height -= 6; }
if (load_raw == &CLASS unpacked_load_raw)
load_flags = 4;
tiff_bps = 12;
if (!strcmp(model,"E-300") ||
!strcmp(model,"E-500")) {
width -= 20;
if (load_raw == &CLASS unpacked_load_raw) {
maximum = 0xfc3;
memset (cblack, 0, sizeof cblack);
}
} else if (!strcmp(model,"STYLUS1")) {
width -= 14;
maximum = 0xfff;
} else if (!strcmp(model,"E-330")) {
width -= 30;
if (load_raw == &CLASS unpacked_load_raw)
maximum = 0xf79;
} else if (!strcmp(model,"SP550UZ")) {
thumb_length = flen - (thumb_offset = 0xa39800);
thumb_height = 480;
thumb_width = 640;
}
} else if (!strcmp(model,"N Digital")) {
height = 2047;
width = 3072;
filters = 0x61616161;
data_offset = 0x1a00;
load_raw = &CLASS packed_load_raw;
} else if (!strcmp(model,"DSC-F828")) {
width = 3288;
left_margin = 5;
mask[1][3] = -17;
data_offset = 862144;
load_raw = &CLASS sony_load_raw;
filters = 0x9c9c9c9c;
colors = 4;
strcpy (cdesc, "RGBE");
} else if (!strcmp(model,"DSC-V3")) {
width = 3109;
left_margin = 59;
mask[0][1] = 9;
data_offset = 787392;
load_raw = &CLASS sony_load_raw;
} else if (!strcmp(make,"Sony") && raw_width == 3984) {
width = 3925;
order = 0x4d4d;
} else if (!strcmp(make,"Sony") && raw_width == 4288) {
width -= 32;
} else if (!strcmp(make,"Sony") && raw_width == 4928) {
if (height < 3280) width -= 8;
} else if (!strcmp(make,"Sony") && raw_width == 5504) { // ILCE-3000//5000
width -= height > 3664 ? 8 : 32;
} else if (!strcmp(make,"Sony") && raw_width == 6048) {
width -= 24;
if (strstr(model,"RX1") || strstr(model,"A99"))
width -= 6;
} else if (!strcmp(make,"Sony") && raw_width == 7392) {
width -= 30;
} else if (!strcmp(model,"DSLR-A100")) {
if (width == 3880) {
height--;
width = ++raw_width;
} else {
height -= 4;
width -= 4;
order = 0x4d4d;
load_flags = 2;
}
filters = 0x61616161;
} else if (!strcmp(model,"DSLR-A350")) {
height -= 4;
} else if (!strcmp(model,"PIXL")) {
height -= top_margin = 4;
width -= left_margin = 32;
gamma_curve (0, 7, 1, 255);
} else if (!strcmp(model,"C603") || !strcmp(model,"C330")
|| !strcmp(model,"12MP")) {
order = 0x4949;
if (filters && data_offset) {
fseek (ifp, data_offset < 4096 ? 168 : 5252, SEEK_SET);
read_shorts (curve, 256);
} else gamma_curve (0, 3.875, 1, 255);
load_raw = filters ? &CLASS eight_bit_load_raw :
strcmp(model,"C330") ? &CLASS kodak_c603_load_raw :
&CLASS kodak_c330_load_raw;
load_flags = tiff_bps > 16;
tiff_bps = 8;
} else if (!strncasecmp(model,"EasyShare",9)) {
data_offset = data_offset < 0x15000 ? 0x15000 : 0x17000;
load_raw = &CLASS packed_load_raw;
} else if (!strcasecmp(make,"Kodak")) {
if (filters == UINT_MAX) filters = 0x61616161;
if (!strncmp(model,"NC2000",6) ||
!strncmp(model,"EOSDCS",6) ||
!strncmp(model,"DCS4",4)) {
width -= 4;
left_margin = 2;
if (model[6] == ' ') model[6] = 0;
if (!strcmp(model,"DCS460A")) goto bw;
} else if (!strcmp(model,"DCS660M")) {
black = 214;
goto bw;
} else if (!strcmp(model,"DCS760M")) {
bw: colors = 1;
filters = 0;
}
if (!strcmp(model+4,"20X"))
strcpy (cdesc, "MYCY");
if (strstr(model,"DC25")) {
strcpy (model, "DC25");
data_offset = 15424;
}
if (!strncmp(model,"DC2",3)) {
raw_height = 2 + (height = 242);
if (!strncmp(model, "DC290", 5))
iso_speed = 100;
if (!strncmp(model, "DC280", 5))
iso_speed = 70;
if (flen < 100000) {
raw_width = 256; width = 249;
pixel_aspect = (4.0*height) / (3.0*width);
} else {
raw_width = 512; width = 501;
pixel_aspect = (493.0*height) / (373.0*width);
}
top_margin = left_margin = 1;
colors = 4;
filters = 0x8d8d8d8d;
simple_coeff(1);
pre_mul[1] = 1.179;
pre_mul[2] = 1.209;
pre_mul[3] = 1.036;
load_raw = &CLASS eight_bit_load_raw;
} else if (!strcmp(model,"40")) {
strcpy (model, "DC40");
height = 512;
width = 768;
data_offset = 1152;
load_raw = &CLASS kodak_radc_load_raw;
} else if (strstr(model,"DC50")) {
strcpy (model, "DC50");
height = 512;
width = 768;
iso_speed=84;
data_offset = 19712;
load_raw = &CLASS kodak_radc_load_raw;
} else if (strstr(model,"DC120")) {
strcpy (model, "DC120");
height = 976;
width = 848;
iso_speed=160;
pixel_aspect = height/0.75/width;
load_raw = tiff_compress == 7 ?
&CLASS kodak_jpeg_load_raw : &CLASS kodak_dc120_load_raw;
} else if (!strcmp(model,"DCS200")) {
thumb_height = 128;
thumb_width = 192;
thumb_offset = 6144;
thumb_misc = 360;
iso_speed=140;
write_thumb = &CLASS layer_thumb;
black = 17;
}
} else if (!strcmp(model,"Fotoman Pixtura")) {
height = 512;
width = 768;
data_offset = 3632;
load_raw = &CLASS kodak_radc_load_raw;
filters = 0x61616161;
simple_coeff(2);
} else if (!strncmp(model,"QuickTake",9)) {
if (head[5]) strcpy (model+10, "200");
fseek (ifp, 544, SEEK_SET);
height = get2();
width = get2();
data_offset = (get4(),get2()) == 30 ? 738:736;
if (height > width) {
SWAP(height,width);
fseek (ifp, data_offset-6, SEEK_SET);
flip = ~get2() & 3 ? 5:6;
}
filters = 0x61616161;
} else if (!strcmp(make,"Rollei") && !load_raw) {
switch (raw_width) {
case 1316:
height = 1030;
width = 1300;
top_margin = 1;
left_margin = 6;
break;
case 2568:
height = 1960;
width = 2560;
top_margin = 2;
left_margin = 8;
}
filters = 0x16161616;
load_raw = &CLASS rollei_load_raw;
}
else if (!strcmp(model,"GRAS-50S5C")) {
height = 2048;
width = 2440;
load_raw = &CLASS unpacked_load_raw;
data_offset = 0;
filters = 0x49494949;
order = 0x4949;
maximum = 0xfffC;
} else if (!strcmp(model,"BB-500CL")) {
height = 2058;
width = 2448;
load_raw = &CLASS unpacked_load_raw;
data_offset = 0;
filters = 0x94949494;
order = 0x4949;
maximum = 0x3fff;
} else if (!strcmp(model,"BB-500GE")) {
height = 2058;
width = 2456;
load_raw = &CLASS unpacked_load_raw;
data_offset = 0;
filters = 0x94949494;
order = 0x4949;
maximum = 0x3fff;
} else if (!strcmp(model,"SVS625CL")) {
height = 2050;
width = 2448;
load_raw = &CLASS unpacked_load_raw;
data_offset = 0;
filters = 0x94949494;
order = 0x4949;
maximum = 0x0fff;
}
/* Early reject for damaged images */
if (!load_raw || height < 22 || width < 22 ||
tiff_bps > 16 || tiff_samples > 4 || colors > 4 || colors < 1)
{
is_raw = 0;
#ifdef LIBRAW_LIBRARY_BUILD
RUN_CALLBACK(LIBRAW_PROGRESS_IDENTIFY,1,2);
#endif
return;
}
if (!model[0])
sprintf (model, "%dx%d", width, height);
if (filters == UINT_MAX) filters = 0x94949494;
if (thumb_offset && !thumb_height) {
fseek (ifp, thumb_offset, SEEK_SET);
if (ljpeg_start (&jh, 1)) {
thumb_width = jh.wide;
thumb_height = jh.high;
}
}
dng_skip:
if ((use_camera_matrix & (use_camera_wb || dng_version))
&& cmatrix[0][0] > 0.125) {
memcpy (rgb_cam, cmatrix, sizeof cmatrix);
raw_color = 0;
}
if (raw_color) adobe_coeff (make, model);
#ifdef LIBRAW_LIBRARY_BUILD
else if(imgdata.color.cam_xyz[0][0]<0.01)
adobe_coeff (make, model,1);
#endif
if (load_raw == &CLASS kodak_radc_load_raw)
if (raw_color) adobe_coeff ("Apple","Quicktake");
if (fuji_width) {
fuji_width = width >> !fuji_layout;
if (~fuji_width & 1) filters = 0x49494949;
width = (height >> fuji_layout) + fuji_width;
height = width - 1;
pixel_aspect = 1;
} else {
if (raw_height < height) raw_height = height;
if (raw_width < width ) raw_width = width;
}
if (!tiff_bps) tiff_bps = 12;
if (!maximum)
{
maximum = (1 << tiff_bps) - 1;
if(maximum < 0x10000 && curve[maximum]>0 && load_raw == &CLASS sony_arw2_load_raw)
maximum = curve[maximum];
}
if (!load_raw || height < 22 || width < 22 ||
tiff_bps > 16 || tiff_samples > 6 || colors > 4)
is_raw = 0;
#ifdef NO_JASPER
if (load_raw == &CLASS redcine_load_raw) {
#ifdef DCRAW_VERBOSE
fprintf (stderr,_("%s: You must link dcraw with %s!!\n"),
ifname, "libjasper");
#endif
is_raw = 0;
#ifdef LIBRAW_LIBRARY_BUILD
imgdata.process_warnings |= LIBRAW_WARN_NO_JASPER;
#endif
}
#endif
#ifdef NO_JPEG
if (load_raw == &CLASS kodak_jpeg_load_raw ||
load_raw == &CLASS lossy_dng_load_raw) {
#ifdef DCRAW_VERBOSE
fprintf (stderr,_("%s: You must link dcraw with %s!!\n"),
ifname, "libjpeg");
#endif
is_raw = 0;
#ifdef LIBRAW_LIBRARY_BUILD
imgdata.process_warnings |= LIBRAW_WARN_NO_JPEGLIB;
#endif
}
#endif
if (!cdesc[0])
strcpy (cdesc, colors == 3 ? "RGBG":"GMCY");
if (!raw_height) raw_height = height;
if (!raw_width ) raw_width = width;
if (filters > 999 && colors == 3)
filters |= ((filters >> 2 & 0x22222222) |
(filters << 2 & 0x88888888)) & filters << 1;
notraw:
if (flip == UINT_MAX) flip = tiff_flip;
if (flip == UINT_MAX) flip = 0;
#ifdef LIBRAW_LIBRARY_BUILD
RUN_CALLBACK(LIBRAW_PROGRESS_IDENTIFY,1,2);
#endif
}
//@end COMMON
//@out FILEIO
#ifndef NO_LCMS
void CLASS apply_profile (const char *input, const char *output)
{
char *prof;
cmsHPROFILE hInProfile=0, hOutProfile=0;
cmsHTRANSFORM hTransform;
FILE *fp;
unsigned size;
if (strcmp (input, "embed"))
hInProfile = cmsOpenProfileFromFile (input, "r");
else if (profile_length) {
#ifndef LIBRAW_LIBRARY_BUILD
prof = (char *) malloc (profile_length);
merror (prof, "apply_profile()");
fseek (ifp, profile_offset, SEEK_SET);
fread (prof, 1, profile_length, ifp);
hInProfile = cmsOpenProfileFromMem (prof, profile_length);
free (prof);
#else
hInProfile = cmsOpenProfileFromMem (imgdata.color.profile, profile_length);
#endif
} else
{
#ifdef LIBRAW_LIBRARY_BUILD
imgdata.process_warnings |= LIBRAW_WARN_NO_EMBEDDED_PROFILE;
#endif
#ifdef DCRAW_VERBOSE
fprintf (stderr,_("%s has no embedded profile.\n"), ifname);
#endif
}
if (!hInProfile)
{
#ifdef LIBRAW_LIBRARY_BUILD
imgdata.process_warnings |= LIBRAW_WARN_NO_INPUT_PROFILE;
#endif
return;
}
if (!output)
hOutProfile = cmsCreate_sRGBProfile();
else if ((fp = fopen (output, "rb"))) {
fread (&size, 4, 1, fp);
fseek (fp, 0, SEEK_SET);
oprof = (unsigned *) malloc (size = ntohl(size));
merror (oprof, "apply_profile()");
fread (oprof, 1, size, fp);
fclose (fp);
if (!(hOutProfile = cmsOpenProfileFromMem (oprof, size))) {
free (oprof);
oprof = 0;
}
}
#ifdef DCRAW_VERBOSE
else
fprintf (stderr,_("Cannot open file %s!\n"), output);
#endif
if (!hOutProfile)
{
#ifdef LIBRAW_LIBRARY_BUILD
imgdata.process_warnings |= LIBRAW_WARN_BAD_OUTPUT_PROFILE;
#endif
goto quit;
}
#ifdef DCRAW_VERBOSE
if (verbose)
fprintf (stderr,_("Applying color profile...\n"));
#endif
#ifdef LIBRAW_LIBRARY_BUILD
RUN_CALLBACK(LIBRAW_PROGRESS_APPLY_PROFILE,0,2);
#endif
hTransform = cmsCreateTransform (hInProfile, TYPE_RGBA_16,
hOutProfile, TYPE_RGBA_16, INTENT_PERCEPTUAL, 0);
cmsDoTransform (hTransform, image, image, width*height);
raw_color = 1; /* Don't use rgb_cam with a profile */
cmsDeleteTransform (hTransform);
cmsCloseProfile (hOutProfile);
quit:
cmsCloseProfile (hInProfile);
#ifdef LIBRAW_LIBRARY_BUILD
RUN_CALLBACK(LIBRAW_PROGRESS_APPLY_PROFILE,1,2);
#endif
}
#endif
//@end FILEIO
//@out COMMON
void CLASS convert_to_rgb()
{
#ifndef LIBRAW_LIBRARY_BUILD
int row, col, c;
#endif
int i, j, k;
#ifndef LIBRAW_LIBRARY_BUILD
ushort *img;
float out[3];
#endif
float out_cam[3][4];
double num, inverse[3][3];
static const double xyzd50_srgb[3][3] =
{ { 0.436083, 0.385083, 0.143055 },
{ 0.222507, 0.716888, 0.060608 },
{ 0.013930, 0.097097, 0.714022 } };
static const double rgb_rgb[3][3] =
{ { 1,0,0 }, { 0,1,0 }, { 0,0,1 } };
static const double adobe_rgb[3][3] =
{ { 0.715146, 0.284856, 0.000000 },
{ 0.000000, 1.000000, 0.000000 },
{ 0.000000, 0.041166, 0.958839 } };
static const double wide_rgb[3][3] =
{ { 0.593087, 0.404710, 0.002206 },
{ 0.095413, 0.843149, 0.061439 },
{ 0.011621, 0.069091, 0.919288 } };
static const double prophoto_rgb[3][3] =
{ { 0.529317, 0.330092, 0.140588 },
{ 0.098368, 0.873465, 0.028169 },
{ 0.016879, 0.117663, 0.865457 } };
static const double (*out_rgb[])[3] =
{ rgb_rgb, adobe_rgb, wide_rgb, prophoto_rgb, xyz_rgb };
static const char *name[] =
{ "sRGB", "Adobe RGB (1998)", "WideGamut D65", "ProPhoto D65", "XYZ" };
static const unsigned phead[] =
{ 1024, 0, 0x2100000, 0x6d6e7472, 0x52474220, 0x58595a20, 0, 0, 0,
0x61637370, 0, 0, 0x6e6f6e65, 0, 0, 0, 0, 0xf6d6, 0x10000, 0xd32d };
unsigned pbody[] =
{ 10, 0x63707274, 0, 36, /* cprt */
0x64657363, 0, 40, /* desc */
0x77747074, 0, 20, /* wtpt */
0x626b7074, 0, 20, /* bkpt */
0x72545243, 0, 14, /* rTRC */
0x67545243, 0, 14, /* gTRC */
0x62545243, 0, 14, /* bTRC */
0x7258595a, 0, 20, /* rXYZ */
0x6758595a, 0, 20, /* gXYZ */
0x6258595a, 0, 20 }; /* bXYZ */
static const unsigned pwhite[] = { 0xf351, 0x10000, 0x116cc };
unsigned pcurve[] = { 0x63757276, 0, 1, 0x1000000 };
#ifdef LIBRAW_LIBRARY_BUILD
RUN_CALLBACK(LIBRAW_PROGRESS_CONVERT_RGB,0,2);
#endif
gamma_curve (gamm[0], gamm[1], 0, 0);
memcpy (out_cam, rgb_cam, sizeof out_cam);
#ifndef LIBRAW_LIBRARY_BUILD
raw_color |= colors == 1 || document_mode ||
output_color < 1 || output_color > 5;
#else
raw_color |= colors == 1 ||
output_color < 1 || output_color > 5;
#endif
if (!raw_color) {
oprof = (unsigned *) calloc (phead[0], 1);
merror (oprof, "convert_to_rgb()");
memcpy (oprof, phead, sizeof phead);
if (output_color == 5) oprof[4] = oprof[5];
oprof[0] = 132 + 12*pbody[0];
for (i=0; i < pbody[0]; i++) {
oprof[oprof[0]/4] = i ? (i > 1 ? 0x58595a20 : 0x64657363) : 0x74657874;
pbody[i*3+2] = oprof[0];
oprof[0] += (pbody[i*3+3] + 3) & -4;
}
memcpy (oprof+32, pbody, sizeof pbody);
oprof[pbody[5]/4+2] = strlen(name[output_color-1]) + 1;
memcpy ((char *)oprof+pbody[8]+8, pwhite, sizeof pwhite);
pcurve[3] = (short)(256/gamm[5]+0.5) << 16;
for (i=4; i < 7; i++)
memcpy ((char *)oprof+pbody[i*3+2], pcurve, sizeof pcurve);
pseudoinverse ((double (*)[3]) out_rgb[output_color-1], inverse, 3);
for (i=0; i < 3; i++)
for (j=0; j < 3; j++) {
for (num = k=0; k < 3; k++)
num += xyzd50_srgb[i][k] * inverse[j][k];
oprof[pbody[j*3+23]/4+i+2] = num * 0x10000 + 0.5;
}
for (i=0; i < phead[0]/4; i++)
oprof[i] = htonl(oprof[i]);
strcpy ((char *)oprof+pbody[2]+8, "auto-generated by dcraw");
strcpy ((char *)oprof+pbody[5]+12, name[output_color-1]);
for (i=0; i < 3; i++)
for (j=0; j < colors; j++)
for (out_cam[i][j] = k=0; k < 3; k++)
out_cam[i][j] += out_rgb[output_color-1][i][k] * rgb_cam[k][j];
}
#ifdef DCRAW_VERBOSE
if (verbose)
fprintf (stderr, raw_color ? _("Building histograms...\n") :
_("Converting to %s colorspace...\n"), name[output_color-1]);
#endif
#ifdef LIBRAW_LIBRARY_BUILD
convert_to_rgb_loop(out_cam);
#else
memset (histogram, 0, sizeof histogram);
for (img=image[0], row=0; row < height; row++)
for (col=0; col < width; col++, img+=4) {
if (!raw_color) {
out[0] = out[1] = out[2] = 0;
FORCC {
out[0] += out_cam[0][c] * img[c];
out[1] += out_cam[1][c] * img[c];
out[2] += out_cam[2][c] * img[c];
}
FORC3 img[c] = CLIP((int) out[c]);
}
else if (document_mode)
img[0] = img[fcol(row,col)];
FORCC histogram[c][img[c] >> 3]++;
}
#endif
if (colors == 4 && output_color) colors = 3;
#ifndef LIBRAW_LIBRARY_BUILD
if (document_mode && filters) colors = 1;
#endif
#ifdef LIBRAW_LIBRARY_BUILD
RUN_CALLBACK(LIBRAW_PROGRESS_CONVERT_RGB,1,2);
#endif
}
void CLASS fuji_rotate()
{
int i, row, col;
double step;
float r, c, fr, fc;
unsigned ur, uc;
ushort wide, high, (*img)[4], (*pix)[4];
if (!fuji_width) return;
#ifdef DCRAW_VERBOSE
if (verbose)
fprintf (stderr,_("Rotating image 45 degrees...\n"));
#endif
fuji_width = (fuji_width - 1 + shrink) >> shrink;
step = sqrt(0.5);
wide = fuji_width / step;
high = (height - fuji_width) / step;
img = (ushort (*)[4]) calloc (high, wide*sizeof *img);
merror (img, "fuji_rotate()");
#ifdef LIBRAW_LIBRARY_BUILD
RUN_CALLBACK(LIBRAW_PROGRESS_FUJI_ROTATE,0,2);
#endif
for (row=0; row < high; row++)
for (col=0; col < wide; col++) {
ur = r = fuji_width + (row-col)*step;
uc = c = (row+col)*step;
if (ur > height-2 || uc > width-2) continue;
fr = r - ur;
fc = c - uc;
pix = image + ur*width + uc;
for (i=0; i < colors; i++)
img[row*wide+col][i] =
(pix[ 0][i]*(1-fc) + pix[ 1][i]*fc) * (1-fr) +
(pix[width][i]*(1-fc) + pix[width+1][i]*fc) * fr;
}
free (image);
width = wide;
height = high;
image = img;
fuji_width = 0;
#ifdef LIBRAW_LIBRARY_BUILD
RUN_CALLBACK(LIBRAW_PROGRESS_FUJI_ROTATE,1,2);
#endif
}
void CLASS stretch()
{
ushort newdim, (*img)[4], *pix0, *pix1;
int row, col, c;
double rc, frac;
if (pixel_aspect == 1) return;
#ifdef LIBRAW_LIBRARY_BUILD
RUN_CALLBACK(LIBRAW_PROGRESS_STRETCH,0,2);
#endif
#ifdef DCRAW_VERBOSE
if (verbose) fprintf (stderr,_("Stretching the image...\n"));
#endif
if (pixel_aspect < 1) {
newdim = height / pixel_aspect + 0.5;
img = (ushort (*)[4]) calloc (width, newdim*sizeof *img);
merror (img, "stretch()");
for (rc=row=0; row < newdim; row++, rc+=pixel_aspect) {
frac = rc - (c = rc);
pix0 = pix1 = image[c*width];
if (c+1 < height) pix1 += width*4;
for (col=0; col < width; col++, pix0+=4, pix1+=4)
FORCC img[row*width+col][c] = pix0[c]*(1-frac) + pix1[c]*frac + 0.5;
}
height = newdim;
} else {
newdim = width * pixel_aspect + 0.5;
img = (ushort (*)[4]) calloc (height, newdim*sizeof *img);
merror (img, "stretch()");
for (rc=col=0; col < newdim; col++, rc+=1/pixel_aspect) {
frac = rc - (c = rc);
pix0 = pix1 = image[c];
if (c+1 < width) pix1 += 4;
for (row=0; row < height; row++, pix0+=width*4, pix1+=width*4)
FORCC img[row*newdim+col][c] = pix0[c]*(1-frac) + pix1[c]*frac + 0.5;
}
width = newdim;
}
free (image);
image = img;
#ifdef LIBRAW_LIBRARY_BUILD
RUN_CALLBACK(LIBRAW_PROGRESS_STRETCH,1,2);
#endif
}
int CLASS flip_index (int row, int col)
{
if (flip & 4) SWAP(row,col);
if (flip & 2) row = iheight - 1 - row;
if (flip & 1) col = iwidth - 1 - col;
return row * iwidth + col;
}
//@end COMMON
struct tiff_tag {
ushort tag, type;
int count;
union { char c[4]; short s[2]; int i; } val;
};
struct tiff_hdr {
ushort t_order, magic;
int ifd;
ushort pad, ntag;
struct tiff_tag tag[23];
int nextifd;
ushort pad2, nexif;
struct tiff_tag exif[4];
ushort pad3, ngps;
struct tiff_tag gpst[10];
short bps[4];
int rat[10];
unsigned gps[26];
char t_desc[512], t_make[64], t_model[64], soft[32], date[20], t_artist[64];
};
//@out COMMON
void CLASS tiff_set (ushort *ntag,
ushort tag, ushort type, int count, int val)
{
struct tiff_tag *tt;
int c;
tt = (struct tiff_tag *)(ntag+1) + (*ntag)++;
tt->tag = tag;
tt->type = type;
tt->count = count;
if (type < 3 && count <= 4)
FORC(4) tt->val.c[c] = val >> (c << 3);
else if (type == 3 && count <= 2)
FORC(2) tt->val.s[c] = val >> (c << 4);
else tt->val.i = val;
}
#define TOFF(ptr) ((char *)(&(ptr)) - (char *)th)
void CLASS tiff_head (struct tiff_hdr *th, int full)
{
int c, psize=0;
struct tm *t;
memset (th, 0, sizeof *th);
th->t_order = htonl(0x4d4d4949) >> 16;
th->magic = 42;
th->ifd = 10;
if (full) {
tiff_set (&th->ntag, 254, 4, 1, 0);
tiff_set (&th->ntag, 256, 4, 1, width);
tiff_set (&th->ntag, 257, 4, 1, height);
tiff_set (&th->ntag, 258, 3, colors, output_bps);
if (colors > 2)
th->tag[th->ntag-1].val.i = TOFF(th->bps);
FORC4 th->bps[c] = output_bps;
tiff_set (&th->ntag, 259, 3, 1, 1);
tiff_set (&th->ntag, 262, 3, 1, 1 + (colors > 1));
}
tiff_set (&th->ntag, 270, 2, 512, TOFF(th->t_desc));
tiff_set (&th->ntag, 271, 2, 64, TOFF(th->t_make));
tiff_set (&th->ntag, 272, 2, 64, TOFF(th->t_model));
if (full) {
if (oprof) psize = ntohl(oprof[0]);
tiff_set (&th->ntag, 273, 4, 1, sizeof *th + psize);
tiff_set (&th->ntag, 277, 3, 1, colors);
tiff_set (&th->ntag, 278, 4, 1, height);
tiff_set (&th->ntag, 279, 4, 1, height*width*colors*output_bps/8);
} else
tiff_set (&th->ntag, 274, 3, 1, "12435867"[flip]-'0');
tiff_set (&th->ntag, 282, 5, 1, TOFF(th->rat[0]));
tiff_set (&th->ntag, 283, 5, 1, TOFF(th->rat[2]));
tiff_set (&th->ntag, 284, 3, 1, 1);
tiff_set (&th->ntag, 296, 3, 1, 2);
tiff_set (&th->ntag, 305, 2, 32, TOFF(th->soft));
tiff_set (&th->ntag, 306, 2, 20, TOFF(th->date));
tiff_set (&th->ntag, 315, 2, 64, TOFF(th->t_artist));
tiff_set (&th->ntag, 34665, 4, 1, TOFF(th->nexif));
if (psize) tiff_set (&th->ntag, 34675, 7, psize, sizeof *th);
tiff_set (&th->nexif, 33434, 5, 1, TOFF(th->rat[4]));
tiff_set (&th->nexif, 33437, 5, 1, TOFF(th->rat[6]));
tiff_set (&th->nexif, 34855, 3, 1, iso_speed);
tiff_set (&th->nexif, 37386, 5, 1, TOFF(th->rat[8]));
if (gpsdata[1]) {
tiff_set (&th->ntag, 34853, 4, 1, TOFF(th->ngps));
tiff_set (&th->ngps, 0, 1, 4, 0x202);
tiff_set (&th->ngps, 1, 2, 2, gpsdata[29]);
tiff_set (&th->ngps, 2, 5, 3, TOFF(th->gps[0]));
tiff_set (&th->ngps, 3, 2, 2, gpsdata[30]);
tiff_set (&th->ngps, 4, 5, 3, TOFF(th->gps[6]));
tiff_set (&th->ngps, 5, 1, 1, gpsdata[31]);
tiff_set (&th->ngps, 6, 5, 1, TOFF(th->gps[18]));
tiff_set (&th->ngps, 7, 5, 3, TOFF(th->gps[12]));
tiff_set (&th->ngps, 18, 2, 12, TOFF(th->gps[20]));
tiff_set (&th->ngps, 29, 2, 12, TOFF(th->gps[23]));
memcpy (th->gps, gpsdata, sizeof th->gps);
}
th->rat[0] = th->rat[2] = 300;
th->rat[1] = th->rat[3] = 1;
FORC(6) th->rat[4+c] = 1000000;
th->rat[4] *= shutter;
th->rat[6] *= aperture;
th->rat[8] *= focal_len;
strncpy (th->t_desc, desc, 512);
strncpy (th->t_make, make, 64);
strncpy (th->t_model, model, 64);
strcpy (th->soft, "dcraw v" DCRAW_VERSION);
t = localtime (×tamp);
sprintf (th->date, "%04d:%02d:%02d %02d:%02d:%02d",
t->tm_year+1900,t->tm_mon+1,t->tm_mday,t->tm_hour,t->tm_min,t->tm_sec);
strncpy (th->t_artist, artist, 64);
}
#ifdef LIBRAW_LIBRARY_BUILD
void CLASS jpeg_thumb_writer (FILE *tfp,char *t_humb,int t_humb_length)
{
ushort exif[5];
struct tiff_hdr th;
fputc (0xff, tfp);
fputc (0xd8, tfp);
if (strcmp (t_humb+6, "Exif")) {
memcpy (exif, "\xff\xe1 Exif\0\0", 10);
exif[1] = htons (8 + sizeof th);
fwrite (exif, 1, sizeof exif, tfp);
tiff_head (&th, 0);
fwrite (&th, 1, sizeof th, tfp);
}
fwrite (t_humb+2, 1, t_humb_length-2, tfp);
}
void CLASS jpeg_thumb()
{
char *thumb;
thumb = (char *) malloc (thumb_length);
merror (thumb, "jpeg_thumb()");
fread (thumb, 1, thumb_length, ifp);
jpeg_thumb_writer(ofp,thumb,thumb_length);
free (thumb);
}
#else
void CLASS jpeg_thumb()
{
char *thumb;
ushort exif[5];
struct tiff_hdr th;
thumb = (char *) malloc (thumb_length);
merror (thumb, "jpeg_thumb()");
fread (thumb, 1, thumb_length, ifp);
fputc (0xff, ofp);
fputc (0xd8, ofp);
if (strcmp (thumb+6, "Exif")) {
memcpy (exif, "\xff\xe1 Exif\0\0", 10);
exif[1] = htons (8 + sizeof th);
fwrite (exif, 1, sizeof exif, ofp);
tiff_head (&th, 0);
fwrite (&th, 1, sizeof th, ofp);
}
fwrite (thumb+2, 1, thumb_length-2, ofp);
free (thumb);
}
#endif
void CLASS write_ppm_tiff()
{
struct tiff_hdr th;
uchar *ppm;
ushort *ppm2;
int c, row, col, soff, rstep, cstep;
int perc, val, total, t_white=0x2000;
#ifdef LIBRAW_LIBRARY_BUILD
perc = width * height * auto_bright_thr;
#else
perc = width * height * 0.01; /* 99th percentile white level */
#endif
if (fuji_width) perc /= 2;
if (!((highlight & ~2) || no_auto_bright))
for (t_white=c=0; c < colors; c++) {
for (val=0x2000, total=0; --val > 32; )
if ((total += histogram[c][val]) > perc) break;
if (t_white < val) t_white = val;
}
gamma_curve (gamm[0], gamm[1], 2, (t_white << 3)/bright);
iheight = height;
iwidth = width;
if (flip & 4) SWAP(height,width);
ppm = (uchar *) calloc (width, colors*output_bps/8);
ppm2 = (ushort *) ppm;
merror (ppm, "write_ppm_tiff()");
if (output_tiff) {
tiff_head (&th, 1);
fwrite (&th, sizeof th, 1, ofp);
if (oprof)
fwrite (oprof, ntohl(oprof[0]), 1, ofp);
} else if (colors > 3)
fprintf (ofp,
"P7\nWIDTH %d\nHEIGHT %d\nDEPTH %d\nMAXVAL %d\nTUPLTYPE %s\nENDHDR\n",
width, height, colors, (1 << output_bps)-1, cdesc);
else
fprintf (ofp, "P%d\n%d %d\n%d\n",
colors/2+5, width, height, (1 << output_bps)-1);
soff = flip_index (0, 0);
cstep = flip_index (0, 1) - soff;
rstep = flip_index (1, 0) - flip_index (0, width);
for (row=0; row < height; row++, soff += rstep) {
for (col=0; col < width; col++, soff += cstep)
if (output_bps == 8)
FORCC ppm [col*colors+c] = curve[image[soff][c]] >> 8;
else FORCC ppm2[col*colors+c] = curve[image[soff][c]];
if (output_bps == 16 && !output_tiff && htons(0x55aa) != 0x55aa)
swab ((char*)ppm2, (char*)ppm2, width*colors*2);
fwrite (ppm, colors*output_bps/8, width, ofp);
}
free (ppm);
}
//@end COMMON
int CLASS main (int argc, const char **argv)
{
int arg, status=0, quality, i, c;
int timestamp_only=0, thumbnail_only=0, identify_only=0;
int user_qual=-1, user_black=-1, user_sat=-1, user_flip=-1;
int use_fuji_rotate=1, write_to_stdout=0, read_from_stdin=0;
const char *sp, *bpfile=0, *dark_frame=0, *write_ext;
char opm, opt, *ofname, *cp;
struct utimbuf ut;
#ifndef NO_LCMS
const char *cam_profile=0, *out_profile=0;
#endif
#ifndef LOCALTIME
putenv ((char *) "TZ=UTC");
#endif
#ifdef LOCALEDIR
setlocale (LC_CTYPE, "");
setlocale (LC_MESSAGES, "");
bindtextdomain ("dcraw", LOCALEDIR);
textdomain ("dcraw");
#endif
if (argc == 1) {
printf(_("\nRaw photo decoder \"dcraw\" v%s"), DCRAW_VERSION);
printf(_("\nby Dave Coffin, dcoffin a cybercom o net\n"));
printf(_("\nUsage: %s [OPTION]... [FILE]...\n\n"), argv[0]);
puts(_("-v Print verbose messages"));
puts(_("-c Write image data to standard output"));
puts(_("-e Extract embedded thumbnail image"));
puts(_("-i Identify files without decoding them"));
puts(_("-i -v Identify files and show metadata"));
puts(_("-z Change file dates to camera timestamp"));
puts(_("-w Use camera white balance, if possible"));
puts(_("-a Average the whole image for white balance"));
puts(_("-A <x y w h> Average a grey box for white balance"));
puts(_("-r <r g b g> Set custom white balance"));
puts(_("+M/-M Use/don't use an embedded color matrix"));
puts(_("-C <r b> Correct chromatic aberration"));
puts(_("-P <file> Fix the dead pixels listed in this file"));
puts(_("-K <file> Subtract dark frame (16-bit raw PGM)"));
puts(_("-k <num> Set the darkness level"));
puts(_("-S <num> Set the saturation level"));
puts(_("-n <num> Set threshold for wavelet denoising"));
puts(_("-H [0-9] Highlight mode (0=clip, 1=unclip, 2=blend, 3+=rebuild)"));
puts(_("-t [0-7] Flip image (0=none, 3=180, 5=90CCW, 6=90CW)"));
puts(_("-o [0-5] Output colorspace (raw,sRGB,Adobe,Wide,ProPhoto,XYZ)"));
#ifndef NO_LCMS
puts(_("-o <file> Apply output ICC profile from file"));
puts(_("-p <file> Apply camera ICC profile from file or \"embed\""));
#endif
puts(_("-d Document mode (no color, no interpolation)"));
puts(_("-D Document mode without scaling (totally raw)"));
puts(_("-j Don't stretch or rotate raw pixels"));
puts(_("-W Don't automatically brighten the image"));
puts(_("-b <num> Adjust brightness (default = 1.0)"));
puts(_("-g <p ts> Set custom gamma curve (default = 2.222 4.5)"));
puts(_("-q [0-3] Set the interpolation quality"));
puts(_("-h Half-size color image (twice as fast as \"-q 0\")"));
puts(_("-f Interpolate RGGB as four colors"));
puts(_("-m <num> Apply a 3x3 median filter to R-G and B-G"));
puts(_("-s [0..N-1] Select one raw image or \"all\" from each file"));
puts(_("-6 Write 16-bit instead of 8-bit"));
puts(_("-4 Linear 16-bit, same as \"-6 -W -g 1 1\""));
puts(_("-T Write TIFF instead of PPM"));
puts("");
return 1;
}
argv[argc] = "";
for (arg=1; (((opm = argv[arg][0]) - 2) | 2) == '+'; ) {
opt = argv[arg++][1];
if ((cp = (char *) strchr (sp="nbrkStqmHACg", opt)))
for (i=0; i < "114111111422"[cp-sp]-'0'; i++)
if (!isdigit(argv[arg+i][0])) {
fprintf (stderr,_("Non-numeric argument to \"-%c\"\n"), opt);
return 1;
}
switch (opt) {
case 'n': threshold = atof(argv[arg++]); break;
case 'b': bright = atof(argv[arg++]); break;
case 'r':
FORC4 user_mul[c] = atof(argv[arg++]); break;
case 'C': aber[0] = 1 / atof(argv[arg++]);
aber[2] = 1 / atof(argv[arg++]); break;
case 'g': gamm[0] = atof(argv[arg++]);
gamm[1] = atof(argv[arg++]);
if (gamm[0]) gamm[0] = 1/gamm[0]; break;
case 'k': user_black = atoi(argv[arg++]); break;
case 'S': user_sat = atoi(argv[arg++]); break;
case 't': user_flip = atoi(argv[arg++]); break;
case 'q': user_qual = atoi(argv[arg++]); break;
case 'm': med_passes = atoi(argv[arg++]); break;
case 'H': highlight = atoi(argv[arg++]); break;
case 's':
shot_select = abs(atoi(argv[arg]));
multi_out = !strcmp(argv[arg++],"all");
break;
case 'o':
if (isdigit(argv[arg][0]) && !argv[arg][1])
output_color = atoi(argv[arg++]);
#ifndef NO_LCMS
else out_profile = argv[arg++];
break;
case 'p': cam_profile = argv[arg++];
#endif
break;
case 'P': bpfile = argv[arg++]; break;
case 'K': dark_frame = argv[arg++]; break;
case 'z': timestamp_only = 1; break;
case 'e': thumbnail_only = 1; break;
case 'i': identify_only = 1; break;
case 'c': write_to_stdout = 1; break;
case 'v': verbose = 1; break;
case 'h': half_size = 1; break;
case 'f': four_color_rgb = 1; break;
case 'A': FORC4 greybox[c] = atoi(argv[arg++]);
case 'a': use_auto_wb = 1; break;
case 'w': use_camera_wb = 1; break;
case 'M': use_camera_matrix = 3 * (opm == '+'); break;
case 'I': read_from_stdin = 1; break;
case 'E': document_mode++;
case 'D': document_mode++;
case 'd': document_mode++;
case 'j': use_fuji_rotate = 0; break;
case 'W': no_auto_bright = 1; break;
case 'T': output_tiff = 1; break;
case '4': gamm[0] = gamm[1] =
no_auto_bright = 1;
case '6': output_bps = 16; break;
default:
fprintf (stderr,_("Unknown option \"-%c\".\n"), opt);
return 1;
}
}
if (arg == argc) {
fprintf (stderr,_("No files to process.\n"));
return 1;
}
if (write_to_stdout) {
if (isatty(1)) {
fprintf (stderr,_("Will not write an image to the terminal!\n"));
return 1;
}
#if defined(WIN32) || defined(DJGPP) || defined(__CYGWIN__)
if (setmode(1,O_BINARY) < 0) {
perror ("setmode()");
return 1;
}
#endif
}
for ( ; arg < argc; arg++) {
status = 1;
raw_image = 0;
image = 0;
oprof = 0;
meta_data = ofname = 0;
ofp = stdout;
if (setjmp (failure)) {
if (fileno(ifp) > 2) fclose(ifp);
if (fileno(ofp) > 2) fclose(ofp);
status = 1;
goto cleanup;
}
ifname = argv[arg];
if (!(ifp = fopen (ifname, "rb"))) {
perror (ifname);
continue;
}
status = (identify(),!is_raw);
if (user_flip >= 0)
flip = user_flip;
switch ((flip+3600) % 360) {
case 270: flip = 5; break;
case 180: flip = 3; break;
case 90: flip = 6;
}
if (timestamp_only) {
if ((status = !timestamp))
fprintf (stderr,_("%s has no timestamp.\n"), ifname);
else if (identify_only)
printf ("%10ld%10d %s\n", (long) timestamp, shot_order, ifname);
else {
if (verbose)
fprintf (stderr,_("%s time set to %d.\n"), ifname, (int) timestamp);
ut.actime = ut.modtime = timestamp;
utime (ifname, &ut);
}
goto next;
}
write_fun = &CLASS write_ppm_tiff;
if (thumbnail_only) {
if ((status = !thumb_offset)) {
fprintf (stderr,_("%s has no thumbnail.\n"), ifname);
goto next;
} else if (thumb_load_raw) {
load_raw = thumb_load_raw;
data_offset = thumb_offset;
height = thumb_height;
width = thumb_width;
filters = 0;
colors = 3;
} else {
fseek (ifp, thumb_offset, SEEK_SET);
write_fun = write_thumb;
goto thumbnail;
}
}
if (load_raw == &CLASS kodak_ycbcr_load_raw) {
height += height & 1;
width += width & 1;
}
if (identify_only && verbose && make[0]) {
printf (_("\nFilename: %s\n"), ifname);
printf (_("Timestamp: %s"), ctime(×tamp));
printf (_("Camera: %s %s\n"), make, model);
if (artist[0])
printf (_("Owner: %s\n"), artist);
if (dng_version) {
printf (_("DNG Version: "));
for (i=24; i >= 0; i -= 8)
printf ("%d%c", dng_version >> i & 255, i ? '.':'\n');
}
printf (_("ISO speed: %d\n"), (int) iso_speed);
printf (_("Shutter: "));
if (shutter > 0 && shutter < 1)
shutter = (printf ("1/"), 1 / shutter);
printf (_("%0.1f sec\n"), shutter);
printf (_("Aperture: f/%0.1f\n"), aperture);
printf (_("Focal length: %0.1f mm\n"), focal_len);
printf (_("Embedded ICC profile: %s\n"), profile_length ? _("yes"):_("no"));
printf (_("Number of raw images: %d\n"), is_raw);
if (pixel_aspect != 1)
printf (_("Pixel Aspect Ratio: %0.6f\n"), pixel_aspect);
if (thumb_offset)
printf (_("Thumb size: %4d x %d\n"), thumb_width, thumb_height);
printf (_("Full size: %4d x %d\n"), raw_width, raw_height);
} else if (!is_raw)
fprintf (stderr,_("Cannot decode file %s\n"), ifname);
if (!is_raw) goto next;
shrink = filters && (half_size || (!identify_only &&
(threshold || aber[0] != 1 || aber[2] != 1)));
iheight = (height + shrink) >> shrink;
iwidth = (width + shrink) >> shrink;
if (identify_only) {
if (verbose) {
if (document_mode == 3) {
top_margin = left_margin = fuji_width = 0;
height = raw_height;
width = raw_width;
}
iheight = (height + shrink) >> shrink;
iwidth = (width + shrink) >> shrink;
if (use_fuji_rotate) {
if (fuji_width) {
fuji_width = (fuji_width - 1 + shrink) >> shrink;
iwidth = fuji_width / sqrt(0.5);
iheight = (iheight - fuji_width) / sqrt(0.5);
} else {
if (pixel_aspect < 1) iheight = iheight / pixel_aspect + 0.5;
if (pixel_aspect > 1) iwidth = iwidth * pixel_aspect + 0.5;
}
}
if (flip & 4)
SWAP(iheight,iwidth);
printf (_("Image size: %4d x %d\n"), width, height);
printf (_("Output size: %4d x %d\n"), iwidth, iheight);
printf (_("Raw colors: %d"), colors);
if (filters) {
int fhigh = 2, fwide = 2;
if ((filters ^ (filters >> 8)) & 0xff) fhigh = 4;
if ((filters ^ (filters >> 16)) & 0xffff) fhigh = 8;
if (filters == 1) fhigh = fwide = 16;
if (filters == 9) fhigh = fwide = 6;
printf (_("\nFilter pattern: "));
for (i=0; i < fhigh; i++)
for (c = i && putchar('/') && 0; c < fwide; c++)
putchar (cdesc[fcol(i,c)]);
}
printf (_("\nDaylight multipliers:"));
FORCC printf (" %f", pre_mul[c]);
if (cam_mul[0] > 0) {
printf (_("\nCamera multipliers:"));
FORC4 printf (" %f", cam_mul[c]);
}
putchar ('\n');
} else
printf (_("%s is a %s %s image.\n"), ifname, make, model);
next:
fclose(ifp);
continue;
}
if (meta_length) {
meta_data = (char *) malloc (meta_length);
merror (meta_data, "main()");
}
if (filters || colors == 1) {
raw_image = (ushort *) calloc ((raw_height+7), raw_width*2);
merror (raw_image, "main()");
} else {
image = (ushort (*)[4]) calloc (iheight, iwidth*sizeof *image);
merror (image, "main()");
}
if (verbose)
fprintf (stderr,_("Loading %s %s image from %s ...\n"),
make, model, ifname);
if (shot_select >= is_raw)
fprintf (stderr,_("%s: \"-s %d\" requests a nonexistent image!\n"),
ifname, shot_select);
fseeko (ifp, data_offset, SEEK_SET);
if (raw_image && read_from_stdin)
fread (raw_image, 2, raw_height*raw_width, stdin);
else (*load_raw)();
if (document_mode == 3) {
top_margin = left_margin = fuji_width = 0;
height = raw_height;
width = raw_width;
}
iheight = (height + shrink) >> shrink;
iwidth = (width + shrink) >> shrink;
if (raw_image) {
image = (ushort (*)[4]) calloc (iheight, iwidth*sizeof *image);
merror (image, "main()");
crop_masked_pixels();
free (raw_image);
}
if (zero_is_bad) remove_zeroes();
bad_pixels (bpfile);
if (dark_frame) subtract (dark_frame);
quality = 2 + !fuji_width;
if (user_qual >= 0) quality = user_qual;
i = cblack[3];
FORC3 if (i > cblack[c]) i = cblack[c];
FORC4 cblack[c] -= i;
black += i;
i = cblack[6];
FORC (cblack[4] * cblack[5])
if (i > cblack[6+c]) i = cblack[6+c];
FORC (cblack[4] * cblack[5])
cblack[6+c] -= i;
black += i;
if (user_black >= 0) black = user_black;
FORC4 cblack[c] += black;
if (user_sat > 0) maximum = user_sat;
#ifdef COLORCHECK
colorcheck();
#endif
if (is_foveon) {
if (document_mode || load_raw == &CLASS foveon_dp_load_raw) {
for (i=0; i < height*width*4; i++)
if ((short) image[0][i] < 0) image[0][i] = 0;
} else foveon_interpolate();
} else if (document_mode < 2)
scale_colors();
pre_interpolate();
if (filters && !document_mode) {
if (quality == 0)
lin_interpolate();
else if (quality == 1 || colors > 3)
vng_interpolate();
else if (quality == 2 && filters > 1000)
ppg_interpolate();
else if (filters == 9)
xtrans_interpolate (quality*2-3);
else
ahd_interpolate();
}
if (mix_green)
for (colors=3, i=0; i < height*width; i++)
image[i][1] = (image[i][1] + image[i][3]) >> 1;
if (!is_foveon && colors == 3) median_filter();
if (!is_foveon && highlight == 2) blend_highlights();
if (!is_foveon && highlight > 2) recover_highlights();
if (use_fuji_rotate) fuji_rotate();
#ifndef NO_LCMS
if (cam_profile) apply_profile (cam_profile, out_profile);
#endif
convert_to_rgb();
if (use_fuji_rotate) stretch();
thumbnail:
if (write_fun == &CLASS jpeg_thumb)
write_ext = ".jpg";
else if (output_tiff && write_fun == &CLASS write_ppm_tiff)
write_ext = ".tiff";
else
write_ext = ".pgm\0.ppm\0.ppm\0.pam" + colors*5-5;
ofname = (char *) malloc (strlen(ifname) + 64);
merror (ofname, "main()");
if (write_to_stdout)
strcpy (ofname,_("standard output"));
else {
strcpy (ofname, ifname);
if ((cp = strrchr (ofname, '.'))) *cp = 0;
if (multi_out)
sprintf (ofname+strlen(ofname), "_%0*d",
snprintf(0,0,"%d",is_raw-1), shot_select);
if (thumbnail_only)
strcat (ofname, ".thumb");
strcat (ofname, write_ext);
ofp = fopen (ofname, "wb");
if (!ofp) {
status = 1;
perror (ofname);
goto cleanup;
}
}
if (verbose)
fprintf (stderr,_("Writing data to %s ...\n"), ofname);
(*write_fun)();
fclose(ifp);
if (ofp != stdout) fclose(ofp);
cleanup:
if (meta_data) free (meta_data);
if (ofname) free (ofname);
if (oprof) free (oprof);
if (image) free (image);
if (multi_out) {
if (++shot_select < is_raw) arg--;
else shot_select = 0;
}
}
return status;
}
#endif
|
sum.c | #include <stdio.h>
#include <stdlib.h>
#include <omp.h>
int main(void) {
int th_id = 0;
int sum = 0;
#pragma omp parallel private(th_id) shared(sum)
{
th_id = omp_get_thread_num();
printf("Thread id: %d\n", th_id);
#pragma omp critical
sum += th_id;
}
printf("[%d]: %d\n", omp_get_thread_num(), sum);
return 0;
} |
mandelbrot_mpi.c | #include <stdio.h>
#include <stdlib.h>
#include <time.h>
#include <omp.h>
#include "mpi.h"
#include <string.h>
#include <math.h>
// USAGE: mandelbrot_mpi <cols> <rows> <task_size> <x0> <y0> <dx> <dy>
// OUTPUT: <time_spent_in_ms>
#define TRIALS 50
#define ISTR_SIZE 1
#define BUFFER_SIZE (ISTR_SIZE + MAX_DATA_SIZE)
#define MIN(x, y) (((x) < (y)) ? (x) : (y))
#define TAG_KILL 1
double get_time()
{
struct timespec tt;
clock_gettime(CLOCK_REALTIME, &tt);
double t = (double)tt.tv_sec * 1.0e9 + (double)tt.tv_nsec;
return t;
}
int main(int argc, char **argv)
{
FILE *fp;
int rows, cols, size, max_iteration, task_size, iMin, iMax, *grid;
double ttot, tstart, tend, tmin;
char filename[] = "results/mandelbrot_mpi.dat";
MPI_Status status;
int *buffer;
int me, numinstances;
MPI_Init(&argc, &argv);
MPI_Comm_rank(MPI_COMM_WORLD, &me);
MPI_Comm_size(MPI_COMM_WORLD, &numinstances);
if (argc < 4)
{
if (me == 0)
{
printf("Usage: mandelbrot_mpi cols rows task_size x0=-2.5 y0=-1 dx=-1 dy=1\n");
}
return 1;
}
cols = atoi(argv[1]);
rows = atoi(argv[2]);
task_size = atoi(argv[3]);
size = rows * cols;
max_iteration = 100;
double xmin = argc > 4 ? atof(argv[4]) : -2.5;
double ymin = argc > 5 ? atof(argv[5]) : -1;
double xmax = argc > 6 ? xmin + atof(argv[6]) : 1;
double ymax = argc > 7 ? ymin + atof(argv[7]) : 1;
if (xmin >= xmax || ymin >= ymax)
{
if (me == 0)
{
printf("Usage: mandelbrot_mpi cols rows task_size x0=-2.5 y0=-1 dx=-1 dy=1\n");
}
return 1;
}
MPI_Barrier(MPI_COMM_WORLD);
if (me == 0)
{
grid = (int *)malloc(size * sizeof(int));
}
buffer = (int *)malloc((ISTR_SIZE + task_size) * sizeof(int));
for (int k = 0; k < TRIALS; k++)
{
if (me == 0)
{
int tasks_sent = 0, init_task_num = 2;
//index of the tasks sent to the workers, it will be increased after every sent message
int task_idx = 0;
tmin = 10e10;
tstart = get_time();
//The initial number of tasks (init_task_num) is sent to all the workers
for (int other = 1; other < numinstances; other++)
{
for (int t = 0; t < init_task_num; t++)
{
//Checks if no more tasks should be sent
if (task_idx >= size)
{
other = numinstances;
break;
}
buffer[0] = task_idx;
MPI_Send(buffer, ISTR_SIZE, MPI_INT, other, 0, MPI_COMM_WORLD);
task_idx += task_size;
tasks_sent++;
}
}
//While the workers are still executing tasks, the coordinator should keep on listening
while (tasks_sent)
{
MPI_Recv(buffer, ISTR_SIZE + task_size, MPI_INT, MPI_ANY_SOURCE, 0, MPI_COMM_WORLD, &status);
tasks_sent--;
iMin = buffer[0];
//The results received may be smaller than task_size if the task received is the last one
iMax = MIN(iMin + task_size, size);
//The result of a task is copied to the final grid
memcpy(grid + iMin, buffer + ISTR_SIZE, (iMax - iMin) * sizeof(int));
//Checks again is no more tasks should be sent
if (task_idx >= size)
continue;
buffer[0] = task_idx;
task_idx += task_size;
MPI_Send(buffer, ISTR_SIZE, MPI_INT, status.MPI_SOURCE, 0, MPI_COMM_WORLD);
tasks_sent++;
}
//No more tasks to complete, a final message is sent to stop the workers
for (int other = 1; other < numinstances; other++)
{
MPI_Send(NULL, 0, MPI_INT, other, TAG_KILL, MPI_COMM_WORLD);
}
tend = get_time();
ttot = tend - tstart;
tmin = MIN(tmin, ttot);
}
else
{
while (1)
{
MPI_Recv(buffer, ISTR_SIZE, MPI_INT, 0, MPI_ANY_TAG, MPI_COMM_WORLD, &status);
//Checks if it's the final message
if (status.MPI_TAG == TAG_KILL)
break;
iMin = buffer[0];
//Checks if it is the edge case at the end of the grid
iMax = MIN(iMin + task_size, size);
//Mandelbrot calculations, parallelized with openMP
#pragma omp parallel for schedule(static)
for (int i = iMin; i < iMax; i++)
{
int px = i % rows;
int py = i / rows;
double x0 = (double)px / (rows - 1) * (xmax - xmin) + xmin;
double y0 = (double)py / (cols - 1) * (ymax - ymin) + ymin;
double x = 0;
double y = 0;
int iteration = 0;
while (x * x + y * y < 2 * 2 && iteration < max_iteration)
{
double xtemp = x * x - y * y + x0;
y = 2 * x * y + y0;
x = xtemp;
iteration++;
}
buffer[i - iMin + ISTR_SIZE] = iteration;
}
MPI_Send(buffer, ISTR_SIZE + task_size, MPI_INT, 0, 0, MPI_COMM_WORLD);
}
}
}
free(buffer);
if (me == 0)
{
printf("%.2lf\n", tmin / 10e6);
fp = fopen(filename, "w");
fprintf(fp, "%.2lf %.2lf %.2lf %.2lf\n", xmin, ymin, xmax - xmin, ymax - ymin);
for (int i = 0; i < cols; i++)
{
for (int j = 0; j < rows; j++)
{
fprintf(fp, "%i ", grid[rows * i + j]);
}
fprintf(fp, "\n");
}
fclose(fp);
free(grid);
}
MPI_Finalize();
return 0;
}
|
3d25pt_var.c | /*
* Order-1, 3D 25 point stencil with axis-symmetric ariable coefficients
* Adapted from PLUTO and Pochoir test bench
*
* Tareq Malas
*/
#include <stdio.h>
#include <stdlib.h>
#include <sys/time.h>
#ifdef LIKWID_PERFMON
#include <likwid.h>
#endif
#include "print_utils.h"
#define TESTS 2
#define MAX(a,b) ((a) > (b) ? a : b)
#define MIN(a,b) ((a) < (b) ? a : b)
/* Subtract the `struct timeval' values X and Y,
* storing the result in RESULT.
*
* Return 1 if the difference is negative, otherwise 0.
*/
int timeval_subtract(struct timeval *result, struct timeval *x, struct timeval *y)
{
/* Perform the carry for the later subtraction by updating y. */
if (x->tv_usec < y->tv_usec)
{
int nsec = (y->tv_usec - x->tv_usec) / 1000000 + 1;
y->tv_usec -= 1000000 * nsec;
y->tv_sec += nsec;
}
if (x->tv_usec - y->tv_usec > 1000000)
{
int nsec = (x->tv_usec - y->tv_usec) / 1000000;
y->tv_usec += 1000000 * nsec;
y->tv_sec -= nsec;
}
/* Compute the time remaining to wait.
* tv_usec is certainly positive.
*/
result->tv_sec = x->tv_sec - y->tv_sec;
result->tv_usec = x->tv_usec - y->tv_usec;
/* Return 1 if result is negative. */
return x->tv_sec < y->tv_sec;
}
int main(int argc, char *argv[])
{
int t, i, j, k, m, test;
int Nx, Ny, Nz, Nt;
if (argc > 3) {
Nx = atoi(argv[1])+8;
Ny = atoi(argv[2])+8;
Nz = atoi(argv[3])+8;
}
if (argc > 4)
Nt = atoi(argv[4]);
// allocate the arrays
double ****A = (double ****) malloc(sizeof(double***)*2);
for(m=0; m<2;m++){
A[m] = (double ***) malloc(sizeof(double**)*Nz);
for(i=0; i<Nz; i++){
A[m][i] = (double**) malloc(sizeof(double*)*Ny);
for(j=0;j<Ny;j++){
A[m][i][j] = (double*) malloc(sizeof(double)*Nx);
}
}
}
double ****coef = (double ****) malloc(sizeof(double***)*13);
for(m=0; m<13;m++){
coef[m] = (double ***) malloc(sizeof(double**)*Nz);
for(i=0; i<Nz; i++){
coef[m][i] = (double**) malloc(sizeof(double*)*Ny);
for(j=0;j<Ny;j++){
coef[m][i][j] = (double*) malloc(sizeof(double)*Nx);
}
}
}
// tile size information, including extra element to decide the list length
int *tile_size = (int*) malloc(sizeof(int));
tile_size[0] = -1;
// The list is modified here before source-to-source transformations
tile_size = (int*) realloc((void *)tile_size, sizeof(int)*5);
tile_size[0] = 4;
tile_size[1] = 4;
tile_size[2] = 4;
tile_size[3] = 2048;
tile_size[4] = -1;
// for timekeeping
int ts_return = -1;
struct timeval start, end, result;
double tdiff = 0.0, min_tdiff=1.e100;
const int BASE = 1024;
// initialize variables
//
srand(42);
for (i = 1; i < Nz; i++) {
for (j = 1; j < Ny; j++) {
for (k = 1; k < Nx; k++) {
A[0][i][j][k] = 1.0 * (rand() % BASE);
}
}
}
for (m=0; m<13; m++) {
for (i=1; i<Nz; i++) {
for (j=1; j<Ny; j++) {
for (k=1; k<Nx; k++) {
coef[m][i][j][k] = 1.0 * (rand() % BASE);
}
}
}
}
#ifdef LIKWID_PERFMON
LIKWID_MARKER_INIT;
#pragma omp parallel
{
LIKWID_MARKER_THREADINIT;
#pragma omp barrier
LIKWID_MARKER_START("calc");
}
#endif
int num_threads = 1;
#if defined(_OPENMP)
num_threads = omp_get_max_threads();
#endif
for(test=0; test<TESTS; test++){
gettimeofday(&start, 0);
// serial execution - Addition: 6 && Multiplication: 2
#pragma scop
for (t = 0; t < Nt; t++) {
for (i = 4; i < Nz-4; i++) {
for (j = 4; j < Ny-4; j++) {
for (k = 4; k < Nx-4; k++) {
A[(t+1)%2][i][j][k] =
coef[0][i][j][k] * A[(t)%2][i ][j ][k ] +
coef[1][i][j][k] * (A[(t)%2][i-1][j ][k ] + A[(t)%2][i+1][j ][k ]) +
coef[2][i][j][k] * (A[(t)%2][i ][j-1][k ] + A[(t)%2][i ][j+1][k ]) +
coef[3][i][j][k] * (A[(t)%2][i ][j ][k-1] + A[(t)%2][i ][j ][k+1]) +
coef[4][i][j][k] * (A[(t)%2][i-2][j ][k ] + A[(t)%2][i+2][j ][k ]) +
coef[5][i][j][k] * (A[(t)%2][i ][j-2][k ] + A[(t)%2][i ][j+2][k ]) +
coef[6][i][j][k] * (A[(t)%2][i ][j ][k-2] + A[(t)%2][i ][j ][k+2]) +
coef[7][i][j][k] * (A[(t)%2][i-3][j ][k ] + A[(t)%2][i+3][j ][k ]) +
coef[8][i][j][k] * (A[(t)%2][i ][j-3][k ] + A[(t)%2][i ][j+3][k ]) +
coef[9][i][j][k] * (A[(t)%2][i ][j ][k-3] + A[(t)%2][i ][j ][k+3]) +
coef[10][i][j][k]* (A[(t)%2][i-4][j ][k ] + A[(t)%2][i+4][j ][k ]) +
coef[11][i][j][k]* (A[(t)%2][i ][j-4][k ] + A[(t)%2][i ][j+4][k ]) +
coef[12][i][j][k]* (A[(t)%2][i ][j ][k-4] + A[(t)%2][i ][j ][k+4]) ;
}
}
}
}
#pragma endscop
gettimeofday(&end, 0);
ts_return = timeval_subtract(&result, &end, &start);
tdiff = (double) (result.tv_sec + result.tv_usec * 1.0e-6);
min_tdiff = min(min_tdiff, tdiff);
printf("Rank 0 TEST# %d time: %f\n", test, tdiff);
}
PRINT_RESULTS(4, "variable axis-symmetric")
#ifdef LIKWID_PERFMON
#pragma omp parallel
{
LIKWID_MARKER_STOP("calc");
}
LIKWID_MARKER_CLOSE;
#endif
// Free allocated arrays
for(i=0; i<Nz; i++){
for(j=0;j<Ny;j++){
free(A[0][i][j]);
free(A[1][i][j]);
}
free(A[0][i]);
free(A[1][i]);
}
free(A[0]);
free(A[1]);
for(m=0; m<13;m++){
for(i=0; i<Nz; i++){
for(j=0;j<Ny;j++){
free(coef[m][i][j]);
}
free(coef[m][i]);
}
free(coef[m]);
}
return 0;
}
|
GB_binop__minus_fc64.c | //------------------------------------------------------------------------------
// GB_binop: hard-coded functions for each built-in binary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2021, All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
//------------------------------------------------------------------------------
// If this file is in the Generated2/ folder, do not edit it
// (it is auto-generated from Generator/*).
#include "GB.h"
#ifndef GBCOMPACT
#include "GB_emult.h"
#include "GB_control.h"
#include "GB_ek_slice.h"
#include "GB_dense.h"
#include "GB_atomics.h"
#include "GB_bitmap_assign_methods.h"
#include "GB_binop__include.h"
// C=binop(A,B) is defined by the following types and operators:
// A+B function (eWiseAdd): GB (_AaddB__minus_fc64)
// A.*B function (eWiseMult): GB (_AemultB_01__minus_fc64)
// A.*B function (eWiseMult): GB (_AemultB_02__minus_fc64)
// A.*B function (eWiseMult): GB (_AemultB_03__minus_fc64)
// A.*B function (eWiseMult): GB (_AemultB_bitmap__minus_fc64)
// A*D function (colscale): GB (_AxD__minus_fc64)
// D*A function (rowscale): GB (_DxB__minus_fc64)
// C+=B function (dense accum): GB (_Cdense_accumB__minus_fc64)
// C+=b function (dense accum): GB (_Cdense_accumb__minus_fc64)
// C+=A+B function (dense ewise3): GB (_Cdense_ewise3_accum__minus_fc64)
// C=A+B function (dense ewise3): GB (_Cdense_ewise3_noaccum__minus_fc64)
// C=scalar+B GB (_bind1st__minus_fc64)
// C=scalar+B' GB (_bind1st_tran__minus_fc64)
// C=A+scalar GB (_bind2nd__minus_fc64)
// C=A'+scalar GB (_bind2nd_tran__minus_fc64)
// C type: GxB_FC64_t
// A type: GxB_FC64_t
// B,b type: GxB_FC64_t
// BinaryOp: cij = GB_FC64_minus (aij, bij)
#define GB_ATYPE \
GxB_FC64_t
#define GB_BTYPE \
GxB_FC64_t
#define GB_CTYPE \
GxB_FC64_t
// true if the types of A and B are identical
#define GB_ATYPE_IS_BTYPE \
1
// true if the types of C and A are identical
#define GB_CTYPE_IS_ATYPE \
1
// true if the types of C and B are identical
#define GB_CTYPE_IS_BTYPE \
1
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA,A_iso) \
GxB_FC64_t aij = GBX (Ax, pA, A_iso)
// bij = Bx [pB]
#define GB_GETB(bij,Bx,pB,B_iso) \
GxB_FC64_t bij = GBX (Bx, pB, B_iso)
// declare scalar of the same type as C
#define GB_CTYPE_SCALAR(t) \
GxB_FC64_t t
// cij = Ax [pA]
#define GB_COPY_A_TO_C(cij,Ax,pA,A_iso) \
cij = GBX (Ax, pA, A_iso)
// cij = Bx [pB]
#define GB_COPY_B_TO_C(cij,Bx,pB,B_iso) \
cij = GBX (Bx, pB, B_iso)
#define GB_CX(p) Cx [p]
// binary operator
#define GB_BINOP(z,x,y,i,j) \
z = GB_FC64_minus (x, y) ;
// true if the binop must be flipped
#define GB_BINOP_FLIP \
0
// op is second
#define GB_OP_IS_SECOND \
0
// do the numerical phases of GB_add and GB_emult
#define GB_PHASE_2_OF_2
// hard-coded loops can be vectorized
#define GB_PRAGMA_SIMD_VECTORIZE GB_PRAGMA_SIMD
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_MINUS || GxB_NO_FC64 || GxB_NO_MINUS_FC64)
//------------------------------------------------------------------------------
// C += A+B, all 3 matrices dense
//------------------------------------------------------------------------------
// The op must be MIN, MAX, PLUS, MINUS, RMINUS, TIMES, DIV, or RDIV.
void GB (_Cdense_ewise3_accum__minus_fc64)
(
GrB_Matrix C,
const GrB_Matrix A,
const GrB_Matrix B,
const int nthreads
)
{
#include "GB_dense_ewise3_accum_template.c"
}
//------------------------------------------------------------------------------
// C = A+B, all 3 matrices dense
//------------------------------------------------------------------------------
GrB_Info GB (_Cdense_ewise3_noaccum__minus_fc64)
(
GrB_Matrix C,
const GrB_Matrix A,
const GrB_Matrix B,
const int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_dense_ewise3_noaccum_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C += B, accumulate a sparse matrix into a dense matrix
//------------------------------------------------------------------------------
GrB_Info GB (_Cdense_accumB__minus_fc64)
(
GrB_Matrix C,
const GrB_Matrix B,
const int64_t *B_ek_slicing, const int B_ntasks, const int B_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
{
#include "GB_dense_subassign_23_template.c"
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C += b, accumulate a scalar into a dense matrix
//------------------------------------------------------------------------------
GrB_Info GB (_Cdense_accumb__minus_fc64)
(
GrB_Matrix C,
const GB_void *p_bwork,
const int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
{
// get the scalar b for C += b, of type GxB_FC64_t
GxB_FC64_t bwork = (*((GxB_FC64_t *) p_bwork)) ;
#include "GB_dense_subassign_22_template.c"
return (GrB_SUCCESS) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = A*D, column scale with diagonal D matrix
//------------------------------------------------------------------------------
GrB_Info GB (_AxD__minus_fc64)
(
GrB_Matrix C,
const GrB_Matrix A, bool A_is_pattern,
const GrB_Matrix D, bool D_is_pattern,
const int64_t *A_ek_slicing, const int A_ntasks, const int A_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
GxB_FC64_t *restrict Cx = (GxB_FC64_t *) C->x ;
#include "GB_AxB_colscale_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = D*B, row scale with diagonal D matrix
//------------------------------------------------------------------------------
GrB_Info GB (_DxB__minus_fc64)
(
GrB_Matrix C,
const GrB_Matrix D, bool D_is_pattern,
const GrB_Matrix B, bool B_is_pattern,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
GxB_FC64_t *restrict Cx = (GxB_FC64_t *) C->x ;
#include "GB_AxB_rowscale_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseAdd: C = A+B or C<M> = A+B
//------------------------------------------------------------------------------
GrB_Info GB (_AaddB__minus_fc64)
(
GrB_Matrix C,
const int C_sparsity,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const bool Ch_is_Mh,
const int64_t *restrict C_to_M,
const int64_t *restrict C_to_A,
const int64_t *restrict C_to_B,
const GB_task_struct *restrict TaskList,
const int C_ntasks,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
GB_WERK_DECLARE (M_ek_slicing, int64_t) ;
GB_WERK_DECLARE (A_ek_slicing, int64_t) ;
GB_WERK_DECLARE (B_ek_slicing, int64_t) ;
#include "GB_add_template.c"
GB_FREE_WORK ;
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C = A.*B or C<M> = A.*B
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_01__minus_fc64)
(
GrB_Matrix C,
const int C_sparsity,
const int ewise_method,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *restrict C_to_M,
const int64_t *restrict C_to_A,
const int64_t *restrict C_to_B,
const GB_task_struct *restrict TaskList,
const int C_ntasks,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_emult_01_meta.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C<#> = A.*B when A is sparse/hyper and B is bitmap/full
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_02__minus_fc64)
(
GrB_Matrix C,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const bool flipxy,
const int64_t *restrict Cp_kfirst,
const int64_t *A_ek_slicing, const int A_ntasks, const int A_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#if GB_BINOP_FLIP
// The operator is not commutative, and does not have a flipped
// variant. For example z=atan2(y,x).
if (flipxy)
{
// use fmult(y,x)
#undef GB_FLIPPED
#define GB_FLIPPED 1
#include "GB_emult_02_template.c"
}
else
{
// use fmult(x,y)
#undef GB_FLIPPED
#define GB_FLIPPED 0
#include "GB_emult_02_template.c"
}
#else
// No need to handle the flip: the operator is either commutative, or
// has been handled by changing z=div(y,x) to z=rdiv(x,y) for example.
#undef GB_FLIPPED
#define GB_FLIPPED 0
#include "GB_emult_02_template.c"
#endif
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C<M> = A.*B, M sparse/hyper, A and B bitmap/full
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_03__minus_fc64)
(
GrB_Matrix C,
const GrB_Matrix M,
const bool Mask_struct,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *restrict Cp_kfirst,
const int64_t *M_ek_slicing, const int M_ntasks, const int M_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_emult_03_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C=A.*B, C<M>=A.*B, C<!M>=A.*B where C is bitmap
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_bitmap__minus_fc64)
(
GrB_Matrix C,
const int ewise_method,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *M_ek_slicing, const int M_ntasks, const int M_nthreads,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_bitmap_emult_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// Cx = op (x,Bx): apply a binary operator to a matrix with scalar bind1st
//------------------------------------------------------------------------------
GrB_Info GB (_bind1st__minus_fc64)
(
GB_void *Cx_output, // Cx and Bx may be aliased
const GB_void *x_input,
const GB_void *Bx_input,
const int8_t *restrict Bb,
int64_t bnz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
GxB_FC64_t *Cx = (GxB_FC64_t *) Cx_output ;
GxB_FC64_t x = (*((GxB_FC64_t *) x_input)) ;
GxB_FC64_t *Bx = (GxB_FC64_t *) Bx_input ;
int64_t p ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < bnz ; p++)
{
if (!GBB (Bb, p)) continue ;
GxB_FC64_t bij = GBX (Bx, p, false) ;
Cx [p] = GB_FC64_minus (x, bij) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// Cx = op (Ax,y): apply a binary operator to a matrix with scalar bind2nd
//------------------------------------------------------------------------------
GrB_Info GB (_bind2nd__minus_fc64)
(
GB_void *Cx_output, // Cx and Ax may be aliased
const GB_void *Ax_input,
const GB_void *y_input,
const int8_t *restrict Ab,
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t p ;
GxB_FC64_t *Cx = (GxB_FC64_t *) Cx_output ;
GxB_FC64_t *Ax = (GxB_FC64_t *) Ax_input ;
GxB_FC64_t y = (*((GxB_FC64_t *) y_input)) ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
if (!GBB (Ab, p)) continue ;
GxB_FC64_t aij = GBX (Ax, p, false) ;
Cx [p] = GB_FC64_minus (aij, y) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (x, A'): transpose and apply a binary operator
//------------------------------------------------------------------------------
// cij = op (x, aij), no typecasting (in spite of the macro name)
#undef GB_CAST_OP
#define GB_CAST_OP(pC,pA) \
{ \
GxB_FC64_t aij = GBX (Ax, pA, false) ; \
Cx [pC] = GB_FC64_minus (x, aij) ; \
}
GrB_Info GB (_bind1st_tran__minus_fc64)
(
GrB_Matrix C,
const GB_void *x_input,
const GrB_Matrix A,
int64_t *restrict *Workspaces,
const int64_t *restrict A_slice,
int nworkspaces,
int nthreads
)
{
// GB_unop_transpose.c uses GB_ATYPE, but A is
// the 2nd input to binary operator z=f(x,y).
#undef GB_ATYPE
#define GB_ATYPE \
GxB_FC64_t
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
GxB_FC64_t x = (*((const GxB_FC64_t *) x_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
#undef GB_ATYPE
#define GB_ATYPE \
GxB_FC64_t
}
//------------------------------------------------------------------------------
// C = op (A', y): transpose and apply a binary operator
//------------------------------------------------------------------------------
// cij = op (aij, y), no typecasting (in spite of the macro name)
#undef GB_CAST_OP
#define GB_CAST_OP(pC,pA) \
{ \
GxB_FC64_t aij = GBX (Ax, pA, false) ; \
Cx [pC] = GB_FC64_minus (aij, y) ; \
}
GrB_Info GB (_bind2nd_tran__minus_fc64)
(
GrB_Matrix C,
const GrB_Matrix A,
const GB_void *y_input,
int64_t *restrict *Workspaces,
const int64_t *restrict A_slice,
int nworkspaces,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
GxB_FC64_t y = (*((const GxB_FC64_t *) y_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
openssl_enc_fmt_plug.c | /* OpenSSL "enc" cracker for JtR.
*
* This software is Copyright (c) 2013, Dhiru Kholia <dhiru at openwall.com>
*
* $ openssl enc -aes-256-cbc -p -e -a -salt -in hello.txt -out hello.txt.enc
* enter aes-256-cbc encryption password:
* Verifying - enter aes-256-cbc encryption password:
* salt=305CEDC2A0521011
* key=E08A1E6E1493BD3D3DAA25E112259D1688F7A0302AC8C16208DBDCEF179765F0
* iv =582FDDF9603B9B03A54FC0BB34370DDE
*
* $ cat hello.txt
* 123456789012
*
* Input Format:
*
* $openssl$cipher$md$salt-size$salt$last-chunks$inlined$known-plaintext$plaintext
* $openssl$cipher$md$salt-size$salt$last-chunks$0$datalen$data$known-plaintext$plaintext
*/
#if FMT_EXTERNS_H
extern struct fmt_main fmt_openssl;
#elif FMT_REGISTERS_H
john_register_one(&fmt_openssl);
#else
#if AC_BUILT
#include "autoconfig.h"
#endif
#ifdef __CYGWIN__
// cygwin has HORRIBLE performance GOMP for this format it runs at 1/#cpu's the speed of OMP_NUM_THREADS=1 or non-GMP build
#undef _OPENMP
#undef FMT_OMP
#undef FMT_OMP_BAD
#define FMT_OMP 0
#define FMT_OMP_BAD 0
#endif
#include <string.h>
#include <errno.h>
#if !AC_BUILT || HAVE_FCNTL_H
#include <fcntl.h>
#endif
#include <stdlib.h>
#include "stdint.h"
#include <sys/types.h>
#include <openssl/evp.h>
#include "aes.h"
#include "md5.h"
#include "arch.h"
#include "misc.h"
#include "params.h"
#include "common.h"
#include "formats.h"
#include "jumbo.h"
#ifdef _OPENMP
#include <omp.h>
#ifndef OMP_SCALE
#define OMP_SCALE 8
#endif
#endif
#include "memdbg.h"
#define FORMAT_LABEL "openssl-enc"
#define FORMAT_NAME "OpenSSL \"enc\" encryption"
#define ALGORITHM_NAME "32/" ARCH_BITS_STR
#define BENCHMARK_COMMENT ""
#define BENCHMARK_LENGTH -1
#define BINARY_SIZE 0
#define SALT_SIZE sizeof(struct custom_salt)
#define BINARY_ALIGN 1
#define SALT_ALIGN sizeof(int)
#define MIN_KEYS_PER_CRYPT 8
#define MAX_KEYS_PER_CRYPT 8
#define PLAINTEXT_LENGTH 125
#define FORMAT_TAG "$openssl$"
#define TAG_LENGTH (sizeof(FORMAT_TAG) - 1)
static char (*saved_key)[PLAINTEXT_LENGTH + 1];
static int *cracked;
static struct custom_salt {
unsigned int saltlen;
unsigned char salt[16];
int cipher;
int md;
int inlined;
int kpa;
int datalen;
unsigned char kpt[256];
unsigned char data[16 * 16];
unsigned char last_chunks[32];
} *cur_salt;
static struct fmt_tests openssl_tests[] = {
{"$openssl$1$0$8$a1a5e529c8d92da5$8de763bf61377d365243993137ad9729$1$0", "password"},
{"$openssl$1$1$8$844527fb2f5d7ad5$ebccb1fcd2b1b30c5c3624d4016978ea$1$0", "password"},
{"$openssl$0$0$8$305cedc2a0521011$bf11609a01e78ec3f50f0cc483e636f9$1$0", "password"},
{"$openssl$0$0$8$305cedc2a0521011$bf11609a01e78ec3f50f0cc483e636f9$1$1$123456", "password"},
{"$openssl$0$0$8$3993671be477e8f0$95384ad4fb11d737dc7ba884ccece94698b46d68d28c5cc4297ce37aea91064e$0$256$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$0", "password"},
{"$openssl$0$0$8$3993671be477e8f0$95384ad4fb11d737dc7ba884ccece94698b46d68d28c5cc4297ce37aea91064e$0$256$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$1$00000000", "password"},
{NULL}
};
static void init(struct fmt_main *self)
{
#if defined (_OPENMP)
int omp_t = omp_get_max_threads();
self->params.min_keys_per_crypt *= omp_t;
omp_t *= OMP_SCALE;
self->params.max_keys_per_crypt *= omp_t;
#endif
saved_key = mem_calloc(self->params.max_keys_per_crypt,
sizeof(*saved_key));
cracked = mem_calloc(self->params.max_keys_per_crypt,
sizeof(*cracked));
}
static void done(void)
{
MEM_FREE(cracked);
MEM_FREE(saved_key);
}
//#define DEBUG_VALID
#ifdef DEBUG_VALID
// Awesome debug macro for valid()
#define return if(printf("\noriginal: %s\n",ciphertext)+printf("fail line %u: '%s' p=%p q=%p q-p-1=%u\n",__LINE__,p,p,q,(unsigned int)(q-p-1)))return
#endif
static int valid(char *ciphertext, struct fmt_main *self)
{
char *p = ciphertext, *q = NULL;
int len;
if (strncmp(ciphertext, FORMAT_TAG, TAG_LENGTH) != 0)
return 0;
p += TAG_LENGTH; // cipher
q = strchr(p, '$');
if (!q)
return 0;
q = q + 1;
if ((q - p - 1) != 1)
return 0;
if (*p != '0' && *p != '1')
return 0;
p = q; q = strchr(p, '$'); // md
if (!q)
return 0;
q = q + 1;
if ((q - p - 1) != 1)
return 0;
if (*p != '0' && *p != '1')
return 0;
p = q; q = strchr(p, '$'); // salt-size
if (!q)
return 0;
q = q + 1;
len = strspn(p, DIGITCHARS);
if (len < 1 || len > 2 || len != q - p - 1)
return 0;
len = atoi(p);
if (len < 1 || len > sizeof(cur_salt->salt))
return 0;
p = q; q = strchr(p, '$'); // salt
if (!q)
return 0;
q = q + 1;
if (2 * len != q - p - 1 || 2 * len != strspn(p, HEXCHARS_lc))
return 0;
p = q; q = strchr(p, '$'); // last-chunks
if (!q)
return 0;
q = q + 1;
len = strspn(p, HEXCHARS_lc);
if (len != q - p - 1 || len < 2 || (len & 1) || len/2 > sizeof(cur_salt->last_chunks))
return 0;
p = q; q = strchr(p, '$'); // inlined
if (!q)
return 0;
q = q + 1;
if ((q - p - 1) != 1)
return 0;
if (*p != '0' && *p != '1')
return 0;
if (*p == '0') {
p = q; q = strchr(p, '$'); // datalen
if (!q)
return 0;
q = q + 1;
len = strspn(p, DIGITCHARS);
if (len < 1 || len > 3 || len != q - p - 1)
return 0;
len = atoi(p);
if (len < 1 || len > sizeof(cur_salt->data))
return 0;
p = q; q = strchr(p, '$'); // data
if (!q)
return 0;
q = q + 1;
if (2 * len != q - p - 1 || 2 * len != strspn(p, HEXCHARS_all))
return 0;
}
p = q; q = strchr(p, '$'); // known-plaintext
if (!q)
return !strcmp(p, "0");
if(strlen(q) == 1)
return 0;
q = q + 1;
if ((q - p - 1) != 1)
return 0;
if (*p != '0' && *p != '1')
return 0;
if (strlen(q) > sizeof(cur_salt->kpt) - 1)
return 0;
#ifdef DEBUG_VALID
#undef return
#endif
return 1;
}
static void *get_salt(char *ciphertext)
{
char *ctcopy = strdup(ciphertext);
char *keeptr = ctcopy;
int i, res;
char *p;
static struct custom_salt cs;
memset(&cs, 0, sizeof(cs));
ctcopy += TAG_LENGTH;
p = strtokm(ctcopy, "$");
cs.cipher = atoi(p);
p = strtokm(NULL, "$");
cs.md = atoi(p);
p = strtokm(NULL, "$");
cs.saltlen = atoi(p);
p = strtokm(NULL, "$");
for (i = 0; i < cs.saltlen; i++)
cs.salt[i] = atoi16[ARCH_INDEX(p[i * 2])] * 16 + atoi16[ARCH_INDEX(p[i * 2 + 1])];
p = strtokm(NULL, "$");
res = strlen(p) / 2;
for (i = 0; i < res; i++)
cs.last_chunks[i] = atoi16[ARCH_INDEX(p[i * 2])] * 16
+ atoi16[ARCH_INDEX(p[i * 2 + 1])];
p = strtokm(NULL, "$");
cs.inlined = atoi(p);
if (cs.inlined) {
p = strtokm(NULL, "$");
cs.kpa = atoi(p);
if (cs.kpa) {
p = strtokm(NULL, "$");
strncpy((char*)cs.kpt, p, 255);
}
}
else {
p = strtokm(NULL, "$");
cs.datalen = atoi(p);
p = strtokm(NULL, "$");
for (i = 0; i < cs.datalen; i++)
cs.data[i] = atoi16[ARCH_INDEX(p[i * 2])] * 16
+ atoi16[ARCH_INDEX(p[i * 2 + 1])];
p = strtokm(NULL, "$");
cs.kpa = atoi(p);
if (cs.kpa) {
p = strtokm(NULL, "$");
strncpy((char*)cs.kpt, p, 255);
}
}
MEM_FREE(keeptr);
return (void *)&cs;
}
static int kpa(unsigned char *key, unsigned char *iv, int inlined)
{
AES_KEY akey;
unsigned char out[16*16];
if(AES_set_decrypt_key(key, 256, &akey) < 0) {
fprintf(stderr, "AES_set_decrypt_key failed in crypt!\n");
}
if (inlined) {
AES_cbc_encrypt(cur_salt->last_chunks, out, 16, &akey, iv, AES_DECRYPT);
if (memmem(out, 16, cur_salt->kpt, strlen((char*)cur_salt->kpt)))
return 0;
}
else {
AES_cbc_encrypt(cur_salt->data, out, cur_salt->datalen, &akey, iv, AES_DECRYPT);
if (memmem(out, cur_salt->datalen, cur_salt->kpt, strlen((char*)cur_salt->kpt)))
return 0;
}
return -1;
}
static int decrypt(char *password)
{
unsigned char out[16];
AES_KEY akey;
unsigned char iv[16];
unsigned char biv[16];
unsigned char key[32];
int nrounds = 1;
// FIXME handle more stuff
switch(cur_salt->cipher) {
case 0:
switch(cur_salt->md) {
case 0:
EVP_BytesToKey(EVP_aes_256_cbc(), EVP_md5(),
cur_salt->salt, (unsigned char*)password,
strlen(password), nrounds, key, iv);
AES_set_decrypt_key(key, 256, &akey);
break;
case 1:
EVP_BytesToKey(EVP_aes_256_cbc(), EVP_sha1(),
cur_salt->salt, (unsigned char*)password,
strlen(password), nrounds, key, iv);
AES_set_decrypt_key(key, 256, &akey);
break;
}
break;
case 1:
switch(cur_salt->md) {
case 0:
EVP_BytesToKey(EVP_aes_128_cbc(), EVP_md5(),
cur_salt->salt, (unsigned char*)password,
strlen(password), nrounds, key, iv);
AES_set_decrypt_key(key, 128, &akey);
break;
case 1:
EVP_BytesToKey(EVP_aes_128_cbc(), EVP_sha1(),
cur_salt->salt, (unsigned char*)password,
strlen(password), nrounds, key, iv);
AES_set_decrypt_key(key, 128, &akey);
break;
}
break;
}
memcpy(biv, iv, 16);
if (cur_salt->inlined)
AES_cbc_encrypt(cur_salt->last_chunks, out, 16, &akey, iv, AES_DECRYPT);
else {
memcpy(iv, cur_salt->last_chunks, 16);
AES_cbc_encrypt(cur_salt->last_chunks + 16, out, 16, &akey, iv, AES_DECRYPT);
}
// now check padding
if (check_pkcs_pad(out, 16, 16) < 0)
return -1;
if(cur_salt->kpa)
return kpa(key, biv, cur_salt->inlined);
return 0;
}
static void set_salt(void *salt)
{
cur_salt = (struct custom_salt *)salt;
}
static void openssl_set_key(char *key, int index)
{
int saved_len = strlen(key);
if (saved_len > PLAINTEXT_LENGTH)
saved_len = PLAINTEXT_LENGTH;
memcpy(saved_key[index], key, saved_len);
saved_key[index][saved_len] = 0;
}
static char *get_key(int index)
{
return saved_key[index];
}
static int crypt_all(int *pcount, struct db_salt *salt)
{
const int count = *pcount;
int index;
#ifdef _OPENMP
#pragma omp parallel for
#endif
for (index = 0; index < count; index++)
{
if (decrypt(saved_key[index]) == 0)
cracked[index] = 1;
else
cracked[index] = 0;
}
return count;
}
static int cmp_all(void *binary, int count)
{
int index;
for (index = 0; index < count; index++)
if (cracked[index])
return 1;
return 0;
}
static int cmp_one(void *binary, int index)
{
return cracked[index];
}
static int cmp_exact(char *source, int index)
{
return 1;
}
struct fmt_main fmt_openssl = {
{
FORMAT_LABEL,
FORMAT_NAME,
ALGORITHM_NAME,
BENCHMARK_COMMENT,
BENCHMARK_LENGTH,
0,
PLAINTEXT_LENGTH,
BINARY_SIZE,
BINARY_ALIGN,
SALT_SIZE,
SALT_ALIGN,
MIN_KEYS_PER_CRYPT,
MAX_KEYS_PER_CRYPT,
FMT_CASE | FMT_8_BIT | FMT_OMP | FMT_OMP_BAD | FMT_NOT_EXACT,
/*
* FIXME: if there wouldn't be so many false positives,
* it would be useful to report some tunable costs
*/
{ NULL },
openssl_tests
}, {
init,
done,
fmt_default_reset,
fmt_default_prepare,
valid,
fmt_default_split,
fmt_default_binary,
get_salt,
{ NULL },
fmt_default_source,
{
fmt_default_binary_hash
},
fmt_default_salt_hash,
NULL,
set_salt,
openssl_set_key,
get_key,
fmt_default_clear_keys,
crypt_all,
{
fmt_default_get_hash
},
cmp_all,
cmp_one,
cmp_exact
}
};
#endif /* plugin stanza */
|
Stmt.h | //===- Stmt.h - Classes for representing statements -------------*- C++ -*-===//
//
// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
// See https://llvm.org/LICENSE.txt for license information.
// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
//
//===----------------------------------------------------------------------===//
//
// This file defines the Stmt interface and subclasses.
//
//===----------------------------------------------------------------------===//
#ifndef LLVM_CLANG_AST_STMT_H
#define LLVM_CLANG_AST_STMT_H
#include "clang/AST/DeclGroup.h"
#include "clang/AST/DependenceFlags.h"
#include "clang/AST/StmtIterator.h"
#include "clang/Basic/CapturedStmt.h"
#include "clang/Basic/IdentifierTable.h"
#include "clang/Basic/LLVM.h"
#include "clang/Basic/SourceLocation.h"
#include "llvm/ADT/ArrayRef.h"
#include "llvm/ADT/BitmaskEnum.h"
#include "llvm/ADT/PointerIntPair.h"
#include "llvm/ADT/StringRef.h"
#include "llvm/ADT/iterator.h"
#include "llvm/ADT/iterator_range.h"
#include "llvm/Support/Casting.h"
#include "llvm/Support/Compiler.h"
#include "llvm/Support/ErrorHandling.h"
#include <algorithm>
#include <cassert>
#include <cstddef>
#include <iterator>
#include <string>
namespace llvm {
class FoldingSetNodeID;
} // namespace llvm
namespace clang {
class ASTContext;
class Attr;
class CapturedDecl;
class Decl;
class Expr;
class AddrLabelExpr;
class LabelDecl;
class ODRHash;
class PrinterHelper;
struct PrintingPolicy;
class RecordDecl;
class SourceManager;
class StringLiteral;
class Token;
class VarDecl;
//===----------------------------------------------------------------------===//
// AST classes for statements.
//===----------------------------------------------------------------------===//
/// Stmt - This represents one statement.
///
class alignas(void *) Stmt {
public:
enum StmtClass {
NoStmtClass = 0,
#define STMT(CLASS, PARENT) CLASS##Class,
#define STMT_RANGE(BASE, FIRST, LAST) \
first##BASE##Constant=FIRST##Class, last##BASE##Constant=LAST##Class,
#define LAST_STMT_RANGE(BASE, FIRST, LAST) \
first##BASE##Constant=FIRST##Class, last##BASE##Constant=LAST##Class
#define ABSTRACT_STMT(STMT)
#include "clang/AST/StmtNodes.inc"
};
// Make vanilla 'new' and 'delete' illegal for Stmts.
protected:
friend class ASTStmtReader;
friend class ASTStmtWriter;
void *operator new(size_t bytes) noexcept {
llvm_unreachable("Stmts cannot be allocated with regular 'new'.");
}
void operator delete(void *data) noexcept {
llvm_unreachable("Stmts cannot be released with regular 'delete'.");
}
//===--- Statement bitfields classes ---===//
class StmtBitfields {
friend class ASTStmtReader;
friend class ASTStmtWriter;
friend class Stmt;
/// The statement class.
unsigned sClass : 8;
};
enum { NumStmtBits = 8 };
class NullStmtBitfields {
friend class ASTStmtReader;
friend class ASTStmtWriter;
friend class NullStmt;
unsigned : NumStmtBits;
/// True if the null statement was preceded by an empty macro, e.g:
/// @code
/// #define CALL(x)
/// CALL(0);
/// @endcode
unsigned HasLeadingEmptyMacro : 1;
/// The location of the semi-colon.
SourceLocation SemiLoc;
};
class CompoundStmtBitfields {
friend class ASTStmtReader;
friend class CompoundStmt;
unsigned : NumStmtBits;
unsigned NumStmts : 32 - NumStmtBits;
/// The location of the opening "{".
SourceLocation LBraceLoc;
};
class LabelStmtBitfields {
friend class LabelStmt;
unsigned : NumStmtBits;
SourceLocation IdentLoc;
};
class AttributedStmtBitfields {
friend class ASTStmtReader;
friend class AttributedStmt;
unsigned : NumStmtBits;
/// Number of attributes.
unsigned NumAttrs : 32 - NumStmtBits;
/// The location of the attribute.
SourceLocation AttrLoc;
};
class IfStmtBitfields {
friend class ASTStmtReader;
friend class IfStmt;
unsigned : NumStmtBits;
/// True if this if statement is a constexpr if.
unsigned IsConstexpr : 1;
/// True if this if statement has storage for an else statement.
unsigned HasElse : 1;
/// True if this if statement has storage for a variable declaration.
unsigned HasVar : 1;
/// True if this if statement has storage for an init statement.
unsigned HasInit : 1;
/// The location of the "if".
SourceLocation IfLoc;
};
class SwitchStmtBitfields {
friend class SwitchStmt;
unsigned : NumStmtBits;
/// True if the SwitchStmt has storage for an init statement.
unsigned HasInit : 1;
/// True if the SwitchStmt has storage for a condition variable.
unsigned HasVar : 1;
/// If the SwitchStmt is a switch on an enum value, records whether all
/// the enum values were covered by CaseStmts. The coverage information
/// value is meant to be a hint for possible clients.
unsigned AllEnumCasesCovered : 1;
/// The location of the "switch".
SourceLocation SwitchLoc;
};
class WhileStmtBitfields {
friend class ASTStmtReader;
friend class WhileStmt;
unsigned : NumStmtBits;
/// True if the WhileStmt has storage for a condition variable.
unsigned HasVar : 1;
/// The location of the "while".
SourceLocation WhileLoc;
};
class DoStmtBitfields {
friend class DoStmt;
unsigned : NumStmtBits;
/// The location of the "do".
SourceLocation DoLoc;
};
class ForStmtBitfields {
friend class ForStmt;
unsigned : NumStmtBits;
/// The location of the "for".
SourceLocation ForLoc;
};
class GotoStmtBitfields {
friend class GotoStmt;
friend class IndirectGotoStmt;
unsigned : NumStmtBits;
/// The location of the "goto".
SourceLocation GotoLoc;
};
class ContinueStmtBitfields {
friend class ContinueStmt;
unsigned : NumStmtBits;
/// The location of the "continue".
SourceLocation ContinueLoc;
};
class BreakStmtBitfields {
friend class BreakStmt;
unsigned : NumStmtBits;
/// The location of the "break".
SourceLocation BreakLoc;
};
class ReturnStmtBitfields {
friend class ReturnStmt;
unsigned : NumStmtBits;
/// True if this ReturnStmt has storage for an NRVO candidate.
unsigned HasNRVOCandidate : 1;
/// The location of the "return".
SourceLocation RetLoc;
};
class SwitchCaseBitfields {
friend class SwitchCase;
friend class CaseStmt;
unsigned : NumStmtBits;
/// Used by CaseStmt to store whether it is a case statement
/// of the form case LHS ... RHS (a GNU extension).
unsigned CaseStmtIsGNURange : 1;
/// The location of the "case" or "default" keyword.
SourceLocation KeywordLoc;
};
//===--- Expression bitfields classes ---===//
class ExprBitfields {
friend class ASTStmtReader; // deserialization
friend class AtomicExpr; // ctor
friend class BlockDeclRefExpr; // ctor
friend class CallExpr; // ctor
friend class CXXConstructExpr; // ctor
friend class CXXDependentScopeMemberExpr; // ctor
friend class CXXNewExpr; // ctor
friend class CXXUnresolvedConstructExpr; // ctor
friend class DeclRefExpr; // computeDependence
friend class DependentScopeDeclRefExpr; // ctor
friend class DesignatedInitExpr; // ctor
friend class Expr;
friend class InitListExpr; // ctor
friend class ObjCArrayLiteral; // ctor
friend class ObjCDictionaryLiteral; // ctor
friend class ObjCMessageExpr; // ctor
friend class OffsetOfExpr; // ctor
friend class OpaqueValueExpr; // ctor
friend class OverloadExpr; // ctor
friend class ParenListExpr; // ctor
friend class PseudoObjectExpr; // ctor
friend class ShuffleVectorExpr; // ctor
unsigned : NumStmtBits;
unsigned ValueKind : 2;
unsigned ObjectKind : 3;
unsigned /*ExprDependence*/ Dependent : llvm::BitWidth<ExprDependence>;
};
enum { NumExprBits = NumStmtBits + 5 + llvm::BitWidth<ExprDependence> };
class ConstantExprBitfields {
friend class ASTStmtReader;
friend class ASTStmtWriter;
friend class ConstantExpr;
unsigned : NumExprBits;
/// The kind of result that is tail-allocated.
unsigned ResultKind : 2;
/// The kind of Result as defined by APValue::Kind.
unsigned APValueKind : 4;
/// When ResultKind == RSK_Int64, true if the tail-allocated integer is
/// unsigned.
unsigned IsUnsigned : 1;
/// When ResultKind == RSK_Int64. the BitWidth of the tail-allocated
/// integer. 7 bits because it is the minimal number of bits to represent a
/// value from 0 to 64 (the size of the tail-allocated integer).
unsigned BitWidth : 7;
/// When ResultKind == RSK_APValue, true if the ASTContext will cleanup the
/// tail-allocated APValue.
unsigned HasCleanup : 1;
/// True if this ConstantExpr was created for immediate invocation.
unsigned IsImmediateInvocation : 1;
};
class PredefinedExprBitfields {
friend class ASTStmtReader;
friend class PredefinedExpr;
unsigned : NumExprBits;
/// The kind of this PredefinedExpr. One of the enumeration values
/// in PredefinedExpr::IdentKind.
unsigned Kind : 4;
/// True if this PredefinedExpr has a trailing "StringLiteral *"
/// for the predefined identifier.
unsigned HasFunctionName : 1;
/// The location of this PredefinedExpr.
SourceLocation Loc;
};
class DeclRefExprBitfields {
friend class ASTStmtReader; // deserialization
friend class DeclRefExpr;
unsigned : NumExprBits;
unsigned HasQualifier : 1;
unsigned HasTemplateKWAndArgsInfo : 1;
unsigned HasFoundDecl : 1;
unsigned HadMultipleCandidates : 1;
unsigned RefersToEnclosingVariableOrCapture : 1;
unsigned NonOdrUseReason : 2;
/// The location of the declaration name itself.
SourceLocation Loc;
};
class FloatingLiteralBitfields {
friend class FloatingLiteral;
unsigned : NumExprBits;
unsigned Semantics : 3; // Provides semantics for APFloat construction
unsigned IsExact : 1;
};
class StringLiteralBitfields {
friend class ASTStmtReader;
friend class StringLiteral;
unsigned : NumExprBits;
/// The kind of this string literal.
/// One of the enumeration values of StringLiteral::StringKind.
unsigned Kind : 3;
/// The width of a single character in bytes. Only values of 1, 2,
/// and 4 bytes are supported. StringLiteral::mapCharByteWidth maps
/// the target + string kind to the appropriate CharByteWidth.
unsigned CharByteWidth : 3;
unsigned IsPascal : 1;
/// The number of concatenated token this string is made of.
/// This is the number of trailing SourceLocation.
unsigned NumConcatenated;
};
class CharacterLiteralBitfields {
friend class CharacterLiteral;
unsigned : NumExprBits;
unsigned Kind : 3;
};
class UnaryOperatorBitfields {
friend class UnaryOperator;
unsigned : NumExprBits;
unsigned Opc : 5;
unsigned CanOverflow : 1;
//
/// This is only meaningful for operations on floating point
/// types when additional values need to be in trailing storage.
/// It is 0 otherwise.
unsigned HasFPFeatures : 1;
SourceLocation Loc;
};
class UnaryExprOrTypeTraitExprBitfields {
friend class UnaryExprOrTypeTraitExpr;
unsigned : NumExprBits;
unsigned Kind : 3;
unsigned IsType : 1; // true if operand is a type, false if an expression.
};
class ArrayOrMatrixSubscriptExprBitfields {
friend class ArraySubscriptExpr;
friend class MatrixSubscriptExpr;
unsigned : NumExprBits;
SourceLocation RBracketLoc;
};
class CallExprBitfields {
friend class CallExpr;
unsigned : NumExprBits;
unsigned NumPreArgs : 1;
/// True if the callee of the call expression was found using ADL.
unsigned UsesADL : 1;
/// Padding used to align OffsetToTrailingObjects to a byte multiple.
unsigned : 24 - 2 - NumExprBits;
/// The offset in bytes from the this pointer to the start of the
/// trailing objects belonging to CallExpr. Intentionally byte sized
/// for faster access.
unsigned OffsetToTrailingObjects : 8;
};
enum { NumCallExprBits = 32 };
class MemberExprBitfields {
friend class ASTStmtReader;
friend class MemberExpr;
unsigned : NumExprBits;
/// IsArrow - True if this is "X->F", false if this is "X.F".
unsigned IsArrow : 1;
/// True if this member expression used a nested-name-specifier to
/// refer to the member, e.g., "x->Base::f", or found its member via
/// a using declaration. When true, a MemberExprNameQualifier
/// structure is allocated immediately after the MemberExpr.
unsigned HasQualifierOrFoundDecl : 1;
/// True if this member expression specified a template keyword
/// and/or a template argument list explicitly, e.g., x->f<int>,
/// x->template f, x->template f<int>.
/// When true, an ASTTemplateKWAndArgsInfo structure and its
/// TemplateArguments (if any) are present.
unsigned HasTemplateKWAndArgsInfo : 1;
/// True if this member expression refers to a method that
/// was resolved from an overloaded set having size greater than 1.
unsigned HadMultipleCandidates : 1;
/// Value of type NonOdrUseReason indicating why this MemberExpr does
/// not constitute an odr-use of the named declaration. Meaningful only
/// when naming a static member.
unsigned NonOdrUseReason : 2;
/// This is the location of the -> or . in the expression.
SourceLocation OperatorLoc;
};
class CastExprBitfields {
friend class CastExpr;
friend class ImplicitCastExpr;
unsigned : NumExprBits;
unsigned Kind : 6;
unsigned PartOfExplicitCast : 1; // Only set for ImplicitCastExpr.
/// The number of CXXBaseSpecifiers in the cast. 14 bits would be enough
/// here. ([implimits] Direct and indirect base classes [16384]).
unsigned BasePathSize;
};
class BinaryOperatorBitfields {
friend class BinaryOperator;
unsigned : NumExprBits;
unsigned Opc : 6;
/// This is only meaningful for operations on floating point
/// types when additional values need to be in trailing storage.
/// It is 0 otherwise.
unsigned HasFPFeatures : 1;
SourceLocation OpLoc;
};
class InitListExprBitfields {
friend class InitListExpr;
unsigned : NumExprBits;
/// Whether this initializer list originally had a GNU array-range
/// designator in it. This is a temporary marker used by CodeGen.
unsigned HadArrayRangeDesignator : 1;
};
class ParenListExprBitfields {
friend class ASTStmtReader;
friend class ParenListExpr;
unsigned : NumExprBits;
/// The number of expressions in the paren list.
unsigned NumExprs;
};
class GenericSelectionExprBitfields {
friend class ASTStmtReader;
friend class GenericSelectionExpr;
unsigned : NumExprBits;
/// The location of the "_Generic".
SourceLocation GenericLoc;
};
class PseudoObjectExprBitfields {
friend class ASTStmtReader; // deserialization
friend class PseudoObjectExpr;
unsigned : NumExprBits;
// These don't need to be particularly wide, because they're
// strictly limited by the forms of expressions we permit.
unsigned NumSubExprs : 8;
unsigned ResultIndex : 32 - 8 - NumExprBits;
};
class SourceLocExprBitfields {
friend class ASTStmtReader;
friend class SourceLocExpr;
unsigned : NumExprBits;
/// The kind of source location builtin represented by the SourceLocExpr.
/// Ex. __builtin_LINE, __builtin_FUNCTION, ect.
unsigned Kind : 2;
};
class StmtExprBitfields {
friend class ASTStmtReader;
friend class StmtExpr;
unsigned : NumExprBits;
/// The number of levels of template parameters enclosing this statement
/// expression. Used to determine if a statement expression remains
/// dependent after instantiation.
unsigned TemplateDepth;
};
//===--- C++ Expression bitfields classes ---===//
class CXXOperatorCallExprBitfields {
friend class ASTStmtReader;
friend class CXXOperatorCallExpr;
unsigned : NumCallExprBits;
/// The kind of this overloaded operator. One of the enumerator
/// value of OverloadedOperatorKind.
unsigned OperatorKind : 6;
};
class CXXRewrittenBinaryOperatorBitfields {
friend class ASTStmtReader;
friend class CXXRewrittenBinaryOperator;
unsigned : NumCallExprBits;
unsigned IsReversed : 1;
};
class CXXBoolLiteralExprBitfields {
friend class CXXBoolLiteralExpr;
unsigned : NumExprBits;
/// The value of the boolean literal.
unsigned Value : 1;
/// The location of the boolean literal.
SourceLocation Loc;
};
class CXXNullPtrLiteralExprBitfields {
friend class CXXNullPtrLiteralExpr;
unsigned : NumExprBits;
/// The location of the null pointer literal.
SourceLocation Loc;
};
class CXXThisExprBitfields {
friend class CXXThisExpr;
unsigned : NumExprBits;
/// Whether this is an implicit "this".
unsigned IsImplicit : 1;
/// The location of the "this".
SourceLocation Loc;
};
class CXXThrowExprBitfields {
friend class ASTStmtReader;
friend class CXXThrowExpr;
unsigned : NumExprBits;
/// Whether the thrown variable (if any) is in scope.
unsigned IsThrownVariableInScope : 1;
/// The location of the "throw".
SourceLocation ThrowLoc;
};
class CXXDefaultArgExprBitfields {
friend class ASTStmtReader;
friend class CXXDefaultArgExpr;
unsigned : NumExprBits;
/// The location where the default argument expression was used.
SourceLocation Loc;
};
class CXXDefaultInitExprBitfields {
friend class ASTStmtReader;
friend class CXXDefaultInitExpr;
unsigned : NumExprBits;
/// The location where the default initializer expression was used.
SourceLocation Loc;
};
class CXXScalarValueInitExprBitfields {
friend class ASTStmtReader;
friend class CXXScalarValueInitExpr;
unsigned : NumExprBits;
SourceLocation RParenLoc;
};
class CXXNewExprBitfields {
friend class ASTStmtReader;
friend class ASTStmtWriter;
friend class CXXNewExpr;
unsigned : NumExprBits;
/// Was the usage ::new, i.e. is the global new to be used?
unsigned IsGlobalNew : 1;
/// Do we allocate an array? If so, the first trailing "Stmt *" is the
/// size expression.
unsigned IsArray : 1;
/// Should the alignment be passed to the allocation function?
unsigned ShouldPassAlignment : 1;
/// If this is an array allocation, does the usual deallocation
/// function for the allocated type want to know the allocated size?
unsigned UsualArrayDeleteWantsSize : 1;
/// What kind of initializer do we have? Could be none, parens, or braces.
/// In storage, we distinguish between "none, and no initializer expr", and
/// "none, but an implicit initializer expr".
unsigned StoredInitializationStyle : 2;
/// True if the allocated type was expressed as a parenthesized type-id.
unsigned IsParenTypeId : 1;
/// The number of placement new arguments.
unsigned NumPlacementArgs;
};
class CXXDeleteExprBitfields {
friend class ASTStmtReader;
friend class CXXDeleteExpr;
unsigned : NumExprBits;
/// Is this a forced global delete, i.e. "::delete"?
unsigned GlobalDelete : 1;
/// Is this the array form of delete, i.e. "delete[]"?
unsigned ArrayForm : 1;
/// ArrayFormAsWritten can be different from ArrayForm if 'delete' is
/// applied to pointer-to-array type (ArrayFormAsWritten will be false
/// while ArrayForm will be true).
unsigned ArrayFormAsWritten : 1;
/// Does the usual deallocation function for the element type require
/// a size_t argument?
unsigned UsualArrayDeleteWantsSize : 1;
/// Location of the expression.
SourceLocation Loc;
};
class TypeTraitExprBitfields {
friend class ASTStmtReader;
friend class ASTStmtWriter;
friend class TypeTraitExpr;
unsigned : NumExprBits;
/// The kind of type trait, which is a value of a TypeTrait enumerator.
unsigned Kind : 8;
/// If this expression is not value-dependent, this indicates whether
/// the trait evaluated true or false.
unsigned Value : 1;
/// The number of arguments to this type trait. According to [implimits]
/// 8 bits would be enough, but we require (and test for) at least 16 bits
/// to mirror FunctionType.
unsigned NumArgs;
};
class DependentScopeDeclRefExprBitfields {
friend class ASTStmtReader;
friend class ASTStmtWriter;
friend class DependentScopeDeclRefExpr;
unsigned : NumExprBits;
/// Whether the name includes info for explicit template
/// keyword and arguments.
unsigned HasTemplateKWAndArgsInfo : 1;
};
class CXXConstructExprBitfields {
friend class ASTStmtReader;
friend class CXXConstructExpr;
unsigned : NumExprBits;
unsigned Elidable : 1;
unsigned HadMultipleCandidates : 1;
unsigned ListInitialization : 1;
unsigned StdInitListInitialization : 1;
unsigned ZeroInitialization : 1;
unsigned ConstructionKind : 3;
SourceLocation Loc;
};
class ExprWithCleanupsBitfields {
friend class ASTStmtReader; // deserialization
friend class ExprWithCleanups;
unsigned : NumExprBits;
// When false, it must not have side effects.
unsigned CleanupsHaveSideEffects : 1;
unsigned NumObjects : 32 - 1 - NumExprBits;
};
class CXXUnresolvedConstructExprBitfields {
friend class ASTStmtReader;
friend class CXXUnresolvedConstructExpr;
unsigned : NumExprBits;
/// The number of arguments used to construct the type.
unsigned NumArgs;
};
class CXXDependentScopeMemberExprBitfields {
friend class ASTStmtReader;
friend class CXXDependentScopeMemberExpr;
unsigned : NumExprBits;
/// Whether this member expression used the '->' operator or
/// the '.' operator.
unsigned IsArrow : 1;
/// Whether this member expression has info for explicit template
/// keyword and arguments.
unsigned HasTemplateKWAndArgsInfo : 1;
/// See getFirstQualifierFoundInScope() and the comment listing
/// the trailing objects.
unsigned HasFirstQualifierFoundInScope : 1;
/// The location of the '->' or '.' operator.
SourceLocation OperatorLoc;
};
class OverloadExprBitfields {
friend class ASTStmtReader;
friend class OverloadExpr;
unsigned : NumExprBits;
/// Whether the name includes info for explicit template
/// keyword and arguments.
unsigned HasTemplateKWAndArgsInfo : 1;
/// Padding used by the derived classes to store various bits. If you
/// need to add some data here, shrink this padding and add your data
/// above. NumOverloadExprBits also needs to be updated.
unsigned : 32 - NumExprBits - 1;
/// The number of results.
unsigned NumResults;
};
enum { NumOverloadExprBits = NumExprBits + 1 };
class UnresolvedLookupExprBitfields {
friend class ASTStmtReader;
friend class UnresolvedLookupExpr;
unsigned : NumOverloadExprBits;
/// True if these lookup results should be extended by
/// argument-dependent lookup if this is the operand of a function call.
unsigned RequiresADL : 1;
/// True if these lookup results are overloaded. This is pretty trivially
/// rederivable if we urgently need to kill this field.
unsigned Overloaded : 1;
};
static_assert(sizeof(UnresolvedLookupExprBitfields) <= 4,
"UnresolvedLookupExprBitfields must be <= than 4 bytes to"
"avoid trashing OverloadExprBitfields::NumResults!");
class UnresolvedMemberExprBitfields {
friend class ASTStmtReader;
friend class UnresolvedMemberExpr;
unsigned : NumOverloadExprBits;
/// Whether this member expression used the '->' operator or
/// the '.' operator.
unsigned IsArrow : 1;
/// Whether the lookup results contain an unresolved using declaration.
unsigned HasUnresolvedUsing : 1;
};
static_assert(sizeof(UnresolvedMemberExprBitfields) <= 4,
"UnresolvedMemberExprBitfields must be <= than 4 bytes to"
"avoid trashing OverloadExprBitfields::NumResults!");
class CXXNoexceptExprBitfields {
friend class ASTStmtReader;
friend class CXXNoexceptExpr;
unsigned : NumExprBits;
unsigned Value : 1;
};
class SubstNonTypeTemplateParmExprBitfields {
friend class ASTStmtReader;
friend class SubstNonTypeTemplateParmExpr;
unsigned : NumExprBits;
/// The location of the non-type template parameter reference.
SourceLocation NameLoc;
};
class LambdaExprBitfields {
friend class ASTStmtReader;
friend class ASTStmtWriter;
friend class LambdaExpr;
unsigned : NumExprBits;
/// The default capture kind, which is a value of type
/// LambdaCaptureDefault.
unsigned CaptureDefault : 2;
/// Whether this lambda had an explicit parameter list vs. an
/// implicit (and empty) parameter list.
unsigned ExplicitParams : 1;
/// Whether this lambda had the result type explicitly specified.
unsigned ExplicitResultType : 1;
/// The number of captures.
unsigned NumCaptures : 16;
};
class RequiresExprBitfields {
friend class ASTStmtReader;
friend class ASTStmtWriter;
friend class RequiresExpr;
unsigned : NumExprBits;
unsigned IsSatisfied : 1;
SourceLocation RequiresKWLoc;
};
//===--- C++ Coroutines TS bitfields classes ---===//
class CoawaitExprBitfields {
friend class CoawaitExpr;
unsigned : NumExprBits;
unsigned IsImplicit : 1;
};
//===--- Obj-C Expression bitfields classes ---===//
class ObjCIndirectCopyRestoreExprBitfields {
friend class ObjCIndirectCopyRestoreExpr;
unsigned : NumExprBits;
unsigned ShouldCopy : 1;
};
//===--- Clang Extensions bitfields classes ---===//
class OpaqueValueExprBitfields {
friend class ASTStmtReader;
friend class OpaqueValueExpr;
unsigned : NumExprBits;
/// The OVE is a unique semantic reference to its source expression if this
/// bit is set to true.
unsigned IsUnique : 1;
SourceLocation Loc;
};
union {
// Same order as in StmtNodes.td.
// Statements
StmtBitfields StmtBits;
NullStmtBitfields NullStmtBits;
CompoundStmtBitfields CompoundStmtBits;
LabelStmtBitfields LabelStmtBits;
AttributedStmtBitfields AttributedStmtBits;
IfStmtBitfields IfStmtBits;
SwitchStmtBitfields SwitchStmtBits;
WhileStmtBitfields WhileStmtBits;
DoStmtBitfields DoStmtBits;
ForStmtBitfields ForStmtBits;
GotoStmtBitfields GotoStmtBits;
ContinueStmtBitfields ContinueStmtBits;
BreakStmtBitfields BreakStmtBits;
ReturnStmtBitfields ReturnStmtBits;
SwitchCaseBitfields SwitchCaseBits;
// Expressions
ExprBitfields ExprBits;
ConstantExprBitfields ConstantExprBits;
PredefinedExprBitfields PredefinedExprBits;
DeclRefExprBitfields DeclRefExprBits;
FloatingLiteralBitfields FloatingLiteralBits;
StringLiteralBitfields StringLiteralBits;
CharacterLiteralBitfields CharacterLiteralBits;
UnaryOperatorBitfields UnaryOperatorBits;
UnaryExprOrTypeTraitExprBitfields UnaryExprOrTypeTraitExprBits;
ArrayOrMatrixSubscriptExprBitfields ArrayOrMatrixSubscriptExprBits;
CallExprBitfields CallExprBits;
MemberExprBitfields MemberExprBits;
CastExprBitfields CastExprBits;
BinaryOperatorBitfields BinaryOperatorBits;
InitListExprBitfields InitListExprBits;
ParenListExprBitfields ParenListExprBits;
GenericSelectionExprBitfields GenericSelectionExprBits;
PseudoObjectExprBitfields PseudoObjectExprBits;
SourceLocExprBitfields SourceLocExprBits;
// GNU Extensions.
StmtExprBitfields StmtExprBits;
// C++ Expressions
CXXOperatorCallExprBitfields CXXOperatorCallExprBits;
CXXRewrittenBinaryOperatorBitfields CXXRewrittenBinaryOperatorBits;
CXXBoolLiteralExprBitfields CXXBoolLiteralExprBits;
CXXNullPtrLiteralExprBitfields CXXNullPtrLiteralExprBits;
CXXThisExprBitfields CXXThisExprBits;
CXXThrowExprBitfields CXXThrowExprBits;
CXXDefaultArgExprBitfields CXXDefaultArgExprBits;
CXXDefaultInitExprBitfields CXXDefaultInitExprBits;
CXXScalarValueInitExprBitfields CXXScalarValueInitExprBits;
CXXNewExprBitfields CXXNewExprBits;
CXXDeleteExprBitfields CXXDeleteExprBits;
TypeTraitExprBitfields TypeTraitExprBits;
DependentScopeDeclRefExprBitfields DependentScopeDeclRefExprBits;
CXXConstructExprBitfields CXXConstructExprBits;
ExprWithCleanupsBitfields ExprWithCleanupsBits;
CXXUnresolvedConstructExprBitfields CXXUnresolvedConstructExprBits;
CXXDependentScopeMemberExprBitfields CXXDependentScopeMemberExprBits;
OverloadExprBitfields OverloadExprBits;
UnresolvedLookupExprBitfields UnresolvedLookupExprBits;
UnresolvedMemberExprBitfields UnresolvedMemberExprBits;
CXXNoexceptExprBitfields CXXNoexceptExprBits;
SubstNonTypeTemplateParmExprBitfields SubstNonTypeTemplateParmExprBits;
LambdaExprBitfields LambdaExprBits;
RequiresExprBitfields RequiresExprBits;
// C++ Coroutines TS expressions
CoawaitExprBitfields CoawaitBits;
// Obj-C Expressions
ObjCIndirectCopyRestoreExprBitfields ObjCIndirectCopyRestoreExprBits;
// Clang Extensions
OpaqueValueExprBitfields OpaqueValueExprBits;
};
public:
// Only allow allocation of Stmts using the allocator in ASTContext
// or by doing a placement new.
void* operator new(size_t bytes, const ASTContext& C,
unsigned alignment = 8);
void* operator new(size_t bytes, const ASTContext* C,
unsigned alignment = 8) {
return operator new(bytes, *C, alignment);
}
void *operator new(size_t bytes, void *mem) noexcept { return mem; }
void operator delete(void *, const ASTContext &, unsigned) noexcept {}
void operator delete(void *, const ASTContext *, unsigned) noexcept {}
void operator delete(void *, size_t) noexcept {}
void operator delete(void *, void *) noexcept {}
public:
/// A placeholder type used to construct an empty shell of a
/// type, that will be filled in later (e.g., by some
/// de-serialization).
struct EmptyShell {};
protected:
/// Iterator for iterating over Stmt * arrays that contain only T *.
///
/// This is needed because AST nodes use Stmt* arrays to store
/// references to children (to be compatible with StmtIterator).
template<typename T, typename TPtr = T *, typename StmtPtr = Stmt *>
struct CastIterator
: llvm::iterator_adaptor_base<CastIterator<T, TPtr, StmtPtr>, StmtPtr *,
std::random_access_iterator_tag, TPtr> {
using Base = typename CastIterator::iterator_adaptor_base;
CastIterator() : Base(nullptr) {}
CastIterator(StmtPtr *I) : Base(I) {}
typename Base::value_type operator*() const {
return cast_or_null<T>(*this->I);
}
};
/// Const iterator for iterating over Stmt * arrays that contain only T *.
template <typename T>
using ConstCastIterator = CastIterator<T, const T *const, const Stmt *const>;
using ExprIterator = CastIterator<Expr>;
using ConstExprIterator = ConstCastIterator<Expr>;
private:
/// Whether statistic collection is enabled.
static bool StatisticsEnabled;
protected:
/// Construct an empty statement.
explicit Stmt(StmtClass SC, EmptyShell) : Stmt(SC) {}
public:
Stmt() = delete;
Stmt(const Stmt &) = delete;
Stmt(Stmt &&) = delete;
Stmt &operator=(const Stmt &) = delete;
Stmt &operator=(Stmt &&) = delete;
Stmt(StmtClass SC) {
static_assert(sizeof(*this) <= 8,
"changing bitfields changed sizeof(Stmt)");
static_assert(sizeof(*this) % alignof(void *) == 0,
"Insufficient alignment!");
StmtBits.sClass = SC;
if (StatisticsEnabled) Stmt::addStmtClass(SC);
}
StmtClass getStmtClass() const {
return static_cast<StmtClass>(StmtBits.sClass);
}
const char *getStmtClassName() const;
/// SourceLocation tokens are not useful in isolation - they are low level
/// value objects created/interpreted by SourceManager. We assume AST
/// clients will have a pointer to the respective SourceManager.
SourceRange getSourceRange() const LLVM_READONLY;
SourceLocation getBeginLoc() const LLVM_READONLY;
SourceLocation getEndLoc() const LLVM_READONLY;
// global temp stats (until we have a per-module visitor)
static void addStmtClass(const StmtClass s);
static void EnableStatistics();
static void PrintStats();
/// Dumps the specified AST fragment and all subtrees to
/// \c llvm::errs().
void dump() const;
void dump(raw_ostream &OS, const ASTContext &Context) const;
/// \return Unique reproducible object identifier
int64_t getID(const ASTContext &Context) const;
/// dumpColor - same as dump(), but forces color highlighting.
void dumpColor() const;
/// dumpPretty/printPretty - These two methods do a "pretty print" of the AST
/// back to its original source language syntax.
void dumpPretty(const ASTContext &Context) const;
void printPretty(raw_ostream &OS, PrinterHelper *Helper,
const PrintingPolicy &Policy, unsigned Indentation = 0,
StringRef NewlineSymbol = "\n",
const ASTContext *Context = nullptr) const;
/// Pretty-prints in JSON format.
void printJson(raw_ostream &Out, PrinterHelper *Helper,
const PrintingPolicy &Policy, bool AddQuotes) const;
/// viewAST - Visualize an AST rooted at this Stmt* using GraphViz. Only
/// works on systems with GraphViz (Mac OS X) or dot+gv installed.
void viewAST() const;
/// Skip no-op (attributed, compound) container stmts and skip captured
/// stmt at the top, if \a IgnoreCaptured is true.
Stmt *IgnoreContainers(bool IgnoreCaptured = false);
const Stmt *IgnoreContainers(bool IgnoreCaptured = false) const {
return const_cast<Stmt *>(this)->IgnoreContainers(IgnoreCaptured);
}
const Stmt *stripLabelLikeStatements() const;
Stmt *stripLabelLikeStatements() {
return const_cast<Stmt*>(
const_cast<const Stmt*>(this)->stripLabelLikeStatements());
}
/// Child Iterators: All subclasses must implement 'children'
/// to permit easy iteration over the substatements/subexpessions of an
/// AST node. This permits easy iteration over all nodes in the AST.
using child_iterator = StmtIterator;
using const_child_iterator = ConstStmtIterator;
using child_range = llvm::iterator_range<child_iterator>;
using const_child_range = llvm::iterator_range<const_child_iterator>;
child_range children();
const_child_range children() const {
auto Children = const_cast<Stmt *>(this)->children();
return const_child_range(Children.begin(), Children.end());
}
child_iterator child_begin() { return children().begin(); }
child_iterator child_end() { return children().end(); }
const_child_iterator child_begin() const { return children().begin(); }
const_child_iterator child_end() const { return children().end(); }
/// Produce a unique representation of the given statement.
///
/// \param ID once the profiling operation is complete, will contain
/// the unique representation of the given statement.
///
/// \param Context the AST context in which the statement resides
///
/// \param Canonical whether the profile should be based on the canonical
/// representation of this statement (e.g., where non-type template
/// parameters are identified by index/level rather than their
/// declaration pointers) or the exact representation of the statement as
/// written in the source.
void Profile(llvm::FoldingSetNodeID &ID, const ASTContext &Context,
bool Canonical) const;
/// Calculate a unique representation for a statement that is
/// stable across compiler invocations.
///
/// \param ID profile information will be stored in ID.
///
/// \param Hash an ODRHash object which will be called where pointers would
/// have been used in the Profile function.
void ProcessODRHash(llvm::FoldingSetNodeID &ID, ODRHash& Hash) const;
};
/// DeclStmt - Adaptor class for mixing declarations with statements and
/// expressions. For example, CompoundStmt mixes statements, expressions
/// and declarations (variables, types). Another example is ForStmt, where
/// the first statement can be an expression or a declaration.
class DeclStmt : public Stmt {
DeclGroupRef DG;
SourceLocation StartLoc, EndLoc;
public:
DeclStmt(DeclGroupRef dg, SourceLocation startLoc, SourceLocation endLoc)
: Stmt(DeclStmtClass), DG(dg), StartLoc(startLoc), EndLoc(endLoc) {}
/// Build an empty declaration statement.
explicit DeclStmt(EmptyShell Empty) : Stmt(DeclStmtClass, Empty) {}
/// isSingleDecl - This method returns true if this DeclStmt refers
/// to a single Decl.
bool isSingleDecl() const { return DG.isSingleDecl(); }
const Decl *getSingleDecl() const { return DG.getSingleDecl(); }
Decl *getSingleDecl() { return DG.getSingleDecl(); }
const DeclGroupRef getDeclGroup() const { return DG; }
DeclGroupRef getDeclGroup() { return DG; }
void setDeclGroup(DeclGroupRef DGR) { DG = DGR; }
void setStartLoc(SourceLocation L) { StartLoc = L; }
SourceLocation getEndLoc() const { return EndLoc; }
void setEndLoc(SourceLocation L) { EndLoc = L; }
SourceLocation getBeginLoc() const LLVM_READONLY { return StartLoc; }
static bool classof(const Stmt *T) {
return T->getStmtClass() == DeclStmtClass;
}
// Iterators over subexpressions.
child_range children() {
return child_range(child_iterator(DG.begin(), DG.end()),
child_iterator(DG.end(), DG.end()));
}
const_child_range children() const {
auto Children = const_cast<DeclStmt *>(this)->children();
return const_child_range(Children);
}
using decl_iterator = DeclGroupRef::iterator;
using const_decl_iterator = DeclGroupRef::const_iterator;
using decl_range = llvm::iterator_range<decl_iterator>;
using decl_const_range = llvm::iterator_range<const_decl_iterator>;
decl_range decls() { return decl_range(decl_begin(), decl_end()); }
decl_const_range decls() const {
return decl_const_range(decl_begin(), decl_end());
}
decl_iterator decl_begin() { return DG.begin(); }
decl_iterator decl_end() { return DG.end(); }
const_decl_iterator decl_begin() const { return DG.begin(); }
const_decl_iterator decl_end() const { return DG.end(); }
using reverse_decl_iterator = std::reverse_iterator<decl_iterator>;
reverse_decl_iterator decl_rbegin() {
return reverse_decl_iterator(decl_end());
}
reverse_decl_iterator decl_rend() {
return reverse_decl_iterator(decl_begin());
}
};
/// NullStmt - This is the null statement ";": C99 6.8.3p3.
///
class NullStmt : public Stmt {
public:
NullStmt(SourceLocation L, bool hasLeadingEmptyMacro = false)
: Stmt(NullStmtClass) {
NullStmtBits.HasLeadingEmptyMacro = hasLeadingEmptyMacro;
setSemiLoc(L);
}
/// Build an empty null statement.
explicit NullStmt(EmptyShell Empty) : Stmt(NullStmtClass, Empty) {}
SourceLocation getSemiLoc() const { return NullStmtBits.SemiLoc; }
void setSemiLoc(SourceLocation L) { NullStmtBits.SemiLoc = L; }
bool hasLeadingEmptyMacro() const {
return NullStmtBits.HasLeadingEmptyMacro;
}
SourceLocation getBeginLoc() const { return getSemiLoc(); }
SourceLocation getEndLoc() const { return getSemiLoc(); }
static bool classof(const Stmt *T) {
return T->getStmtClass() == NullStmtClass;
}
child_range children() {
return child_range(child_iterator(), child_iterator());
}
const_child_range children() const {
return const_child_range(const_child_iterator(), const_child_iterator());
}
};
/// CompoundStmt - This represents a group of statements like { stmt stmt }.
class CompoundStmt final : public Stmt,
private llvm::TrailingObjects<CompoundStmt, Stmt *> {
friend class ASTStmtReader;
friend TrailingObjects;
/// The location of the closing "}". LBraceLoc is stored in CompoundStmtBits.
SourceLocation RBraceLoc;
CompoundStmt(ArrayRef<Stmt *> Stmts, SourceLocation LB, SourceLocation RB);
explicit CompoundStmt(EmptyShell Empty) : Stmt(CompoundStmtClass, Empty) {}
void setStmts(ArrayRef<Stmt *> Stmts);
public:
static CompoundStmt *Create(const ASTContext &C, ArrayRef<Stmt *> Stmts,
SourceLocation LB, SourceLocation RB);
// Build an empty compound statement with a location.
explicit CompoundStmt(SourceLocation Loc)
: Stmt(CompoundStmtClass), RBraceLoc(Loc) {
CompoundStmtBits.NumStmts = 0;
CompoundStmtBits.LBraceLoc = Loc;
}
// Build an empty compound statement.
static CompoundStmt *CreateEmpty(const ASTContext &C, unsigned NumStmts);
bool body_empty() const { return CompoundStmtBits.NumStmts == 0; }
unsigned size() const { return CompoundStmtBits.NumStmts; }
using body_iterator = Stmt **;
using body_range = llvm::iterator_range<body_iterator>;
body_range body() { return body_range(body_begin(), body_end()); }
body_iterator body_begin() { return getTrailingObjects<Stmt *>(); }
body_iterator body_end() { return body_begin() + size(); }
Stmt *body_front() { return !body_empty() ? body_begin()[0] : nullptr; }
Stmt *body_back() {
return !body_empty() ? body_begin()[size() - 1] : nullptr;
}
using const_body_iterator = Stmt *const *;
using body_const_range = llvm::iterator_range<const_body_iterator>;
body_const_range body() const {
return body_const_range(body_begin(), body_end());
}
const_body_iterator body_begin() const {
return getTrailingObjects<Stmt *>();
}
const_body_iterator body_end() const { return body_begin() + size(); }
const Stmt *body_front() const {
return !body_empty() ? body_begin()[0] : nullptr;
}
const Stmt *body_back() const {
return !body_empty() ? body_begin()[size() - 1] : nullptr;
}
using reverse_body_iterator = std::reverse_iterator<body_iterator>;
reverse_body_iterator body_rbegin() {
return reverse_body_iterator(body_end());
}
reverse_body_iterator body_rend() {
return reverse_body_iterator(body_begin());
}
using const_reverse_body_iterator =
std::reverse_iterator<const_body_iterator>;
const_reverse_body_iterator body_rbegin() const {
return const_reverse_body_iterator(body_end());
}
const_reverse_body_iterator body_rend() const {
return const_reverse_body_iterator(body_begin());
}
// Get the Stmt that StmtExpr would consider to be the result of this
// compound statement. This is used by StmtExpr to properly emulate the GCC
// compound expression extension, which ignores trailing NullStmts when
// getting the result of the expression.
// i.e. ({ 5;;; })
// ^^ ignored
// If we don't find something that isn't a NullStmt, just return the last
// Stmt.
Stmt *getStmtExprResult() {
for (auto *B : llvm::reverse(body())) {
if (!isa<NullStmt>(B))
return B;
}
return body_back();
}
const Stmt *getStmtExprResult() const {
return const_cast<CompoundStmt *>(this)->getStmtExprResult();
}
SourceLocation getBeginLoc() const { return CompoundStmtBits.LBraceLoc; }
SourceLocation getEndLoc() const { return RBraceLoc; }
SourceLocation getLBracLoc() const { return CompoundStmtBits.LBraceLoc; }
SourceLocation getRBracLoc() const { return RBraceLoc; }
static bool classof(const Stmt *T) {
return T->getStmtClass() == CompoundStmtClass;
}
// Iterators
child_range children() { return child_range(body_begin(), body_end()); }
const_child_range children() const {
return const_child_range(body_begin(), body_end());
}
};
// SwitchCase is the base class for CaseStmt and DefaultStmt,
class SwitchCase : public Stmt {
protected:
/// The location of the ":".
SourceLocation ColonLoc;
// The location of the "case" or "default" keyword. Stored in SwitchCaseBits.
// SourceLocation KeywordLoc;
/// A pointer to the following CaseStmt or DefaultStmt class,
/// used by SwitchStmt.
SwitchCase *NextSwitchCase = nullptr;
SwitchCase(StmtClass SC, SourceLocation KWLoc, SourceLocation ColonLoc)
: Stmt(SC), ColonLoc(ColonLoc) {
setKeywordLoc(KWLoc);
}
SwitchCase(StmtClass SC, EmptyShell) : Stmt(SC) {}
public:
const SwitchCase *getNextSwitchCase() const { return NextSwitchCase; }
SwitchCase *getNextSwitchCase() { return NextSwitchCase; }
void setNextSwitchCase(SwitchCase *SC) { NextSwitchCase = SC; }
SourceLocation getKeywordLoc() const { return SwitchCaseBits.KeywordLoc; }
void setKeywordLoc(SourceLocation L) { SwitchCaseBits.KeywordLoc = L; }
SourceLocation getColonLoc() const { return ColonLoc; }
void setColonLoc(SourceLocation L) { ColonLoc = L; }
inline Stmt *getSubStmt();
const Stmt *getSubStmt() const {
return const_cast<SwitchCase *>(this)->getSubStmt();
}
SourceLocation getBeginLoc() const { return getKeywordLoc(); }
inline SourceLocation getEndLoc() const LLVM_READONLY;
static bool classof(const Stmt *T) {
return T->getStmtClass() == CaseStmtClass ||
T->getStmtClass() == DefaultStmtClass;
}
};
/// CaseStmt - Represent a case statement. It can optionally be a GNU case
/// statement of the form LHS ... RHS representing a range of cases.
class CaseStmt final
: public SwitchCase,
private llvm::TrailingObjects<CaseStmt, Stmt *, SourceLocation> {
friend TrailingObjects;
// CaseStmt is followed by several trailing objects, some of which optional.
// Note that it would be more convenient to put the optional trailing objects
// at the end but this would impact children().
// The trailing objects are in order:
//
// * A "Stmt *" for the LHS of the case statement. Always present.
//
// * A "Stmt *" for the RHS of the case statement. This is a GNU extension
// which allow ranges in cases statement of the form LHS ... RHS.
// Present if and only if caseStmtIsGNURange() is true.
//
// * A "Stmt *" for the substatement of the case statement. Always present.
//
// * A SourceLocation for the location of the ... if this is a case statement
// with a range. Present if and only if caseStmtIsGNURange() is true.
enum { LhsOffset = 0, SubStmtOffsetFromRhs = 1 };
enum { NumMandatoryStmtPtr = 2 };
unsigned numTrailingObjects(OverloadToken<Stmt *>) const {
return NumMandatoryStmtPtr + caseStmtIsGNURange();
}
unsigned numTrailingObjects(OverloadToken<SourceLocation>) const {
return caseStmtIsGNURange();
}
unsigned lhsOffset() const { return LhsOffset; }
unsigned rhsOffset() const { return LhsOffset + caseStmtIsGNURange(); }
unsigned subStmtOffset() const { return rhsOffset() + SubStmtOffsetFromRhs; }
/// Build a case statement assuming that the storage for the
/// trailing objects has been properly allocated.
CaseStmt(Expr *lhs, Expr *rhs, SourceLocation caseLoc,
SourceLocation ellipsisLoc, SourceLocation colonLoc)
: SwitchCase(CaseStmtClass, caseLoc, colonLoc) {
// Handle GNU case statements of the form LHS ... RHS.
bool IsGNURange = rhs != nullptr;
SwitchCaseBits.CaseStmtIsGNURange = IsGNURange;
setLHS(lhs);
setSubStmt(nullptr);
if (IsGNURange) {
setRHS(rhs);
setEllipsisLoc(ellipsisLoc);
}
}
/// Build an empty switch case statement.
explicit CaseStmt(EmptyShell Empty, bool CaseStmtIsGNURange)
: SwitchCase(CaseStmtClass, Empty) {
SwitchCaseBits.CaseStmtIsGNURange = CaseStmtIsGNURange;
}
public:
/// Build a case statement.
static CaseStmt *Create(const ASTContext &Ctx, Expr *lhs, Expr *rhs,
SourceLocation caseLoc, SourceLocation ellipsisLoc,
SourceLocation colonLoc);
/// Build an empty case statement.
static CaseStmt *CreateEmpty(const ASTContext &Ctx, bool CaseStmtIsGNURange);
/// True if this case statement is of the form case LHS ... RHS, which
/// is a GNU extension. In this case the RHS can be obtained with getRHS()
/// and the location of the ellipsis can be obtained with getEllipsisLoc().
bool caseStmtIsGNURange() const { return SwitchCaseBits.CaseStmtIsGNURange; }
SourceLocation getCaseLoc() const { return getKeywordLoc(); }
void setCaseLoc(SourceLocation L) { setKeywordLoc(L); }
/// Get the location of the ... in a case statement of the form LHS ... RHS.
SourceLocation getEllipsisLoc() const {
return caseStmtIsGNURange() ? *getTrailingObjects<SourceLocation>()
: SourceLocation();
}
/// Set the location of the ... in a case statement of the form LHS ... RHS.
/// Assert that this case statement is of this form.
void setEllipsisLoc(SourceLocation L) {
assert(
caseStmtIsGNURange() &&
"setEllipsisLoc but this is not a case stmt of the form LHS ... RHS!");
*getTrailingObjects<SourceLocation>() = L;
}
Expr *getLHS() {
return reinterpret_cast<Expr *>(getTrailingObjects<Stmt *>()[lhsOffset()]);
}
const Expr *getLHS() const {
return reinterpret_cast<Expr *>(getTrailingObjects<Stmt *>()[lhsOffset()]);
}
void setLHS(Expr *Val) {
getTrailingObjects<Stmt *>()[lhsOffset()] = reinterpret_cast<Stmt *>(Val);
}
Expr *getRHS() {
return caseStmtIsGNURange() ? reinterpret_cast<Expr *>(
getTrailingObjects<Stmt *>()[rhsOffset()])
: nullptr;
}
const Expr *getRHS() const {
return caseStmtIsGNURange() ? reinterpret_cast<Expr *>(
getTrailingObjects<Stmt *>()[rhsOffset()])
: nullptr;
}
void setRHS(Expr *Val) {
assert(caseStmtIsGNURange() &&
"setRHS but this is not a case stmt of the form LHS ... RHS!");
getTrailingObjects<Stmt *>()[rhsOffset()] = reinterpret_cast<Stmt *>(Val);
}
Stmt *getSubStmt() { return getTrailingObjects<Stmt *>()[subStmtOffset()]; }
const Stmt *getSubStmt() const {
return getTrailingObjects<Stmt *>()[subStmtOffset()];
}
void setSubStmt(Stmt *S) {
getTrailingObjects<Stmt *>()[subStmtOffset()] = S;
}
SourceLocation getBeginLoc() const { return getKeywordLoc(); }
SourceLocation getEndLoc() const LLVM_READONLY {
// Handle deeply nested case statements with iteration instead of recursion.
const CaseStmt *CS = this;
while (const auto *CS2 = dyn_cast<CaseStmt>(CS->getSubStmt()))
CS = CS2;
return CS->getSubStmt()->getEndLoc();
}
static bool classof(const Stmt *T) {
return T->getStmtClass() == CaseStmtClass;
}
// Iterators
child_range children() {
return child_range(getTrailingObjects<Stmt *>(),
getTrailingObjects<Stmt *>() +
numTrailingObjects(OverloadToken<Stmt *>()));
}
const_child_range children() const {
return const_child_range(getTrailingObjects<Stmt *>(),
getTrailingObjects<Stmt *>() +
numTrailingObjects(OverloadToken<Stmt *>()));
}
};
class DefaultStmt : public SwitchCase {
Stmt *SubStmt;
public:
DefaultStmt(SourceLocation DL, SourceLocation CL, Stmt *substmt)
: SwitchCase(DefaultStmtClass, DL, CL), SubStmt(substmt) {}
/// Build an empty default statement.
explicit DefaultStmt(EmptyShell Empty)
: SwitchCase(DefaultStmtClass, Empty) {}
Stmt *getSubStmt() { return SubStmt; }
const Stmt *getSubStmt() const { return SubStmt; }
void setSubStmt(Stmt *S) { SubStmt = S; }
SourceLocation getDefaultLoc() const { return getKeywordLoc(); }
void setDefaultLoc(SourceLocation L) { setKeywordLoc(L); }
SourceLocation getBeginLoc() const { return getKeywordLoc(); }
SourceLocation getEndLoc() const LLVM_READONLY {
return SubStmt->getEndLoc();
}
static bool classof(const Stmt *T) {
return T->getStmtClass() == DefaultStmtClass;
}
// Iterators
child_range children() { return child_range(&SubStmt, &SubStmt + 1); }
const_child_range children() const {
return const_child_range(&SubStmt, &SubStmt + 1);
}
};
SourceLocation SwitchCase::getEndLoc() const {
if (const auto *CS = dyn_cast<CaseStmt>(this))
return CS->getEndLoc();
else if (const auto *DS = dyn_cast<DefaultStmt>(this))
return DS->getEndLoc();
llvm_unreachable("SwitchCase is neither a CaseStmt nor a DefaultStmt!");
}
Stmt *SwitchCase::getSubStmt() {
if (auto *CS = dyn_cast<CaseStmt>(this))
return CS->getSubStmt();
else if (auto *DS = dyn_cast<DefaultStmt>(this))
return DS->getSubStmt();
llvm_unreachable("SwitchCase is neither a CaseStmt nor a DefaultStmt!");
}
/// Represents a statement that could possibly have a value and type. This
/// covers expression-statements, as well as labels and attributed statements.
///
/// Value statements have a special meaning when they are the last non-null
/// statement in a GNU statement expression, where they determine the value
/// of the statement expression.
class ValueStmt : public Stmt {
protected:
using Stmt::Stmt;
public:
const Expr *getExprStmt() const;
Expr *getExprStmt() {
const ValueStmt *ConstThis = this;
return const_cast<Expr*>(ConstThis->getExprStmt());
}
static bool classof(const Stmt *T) {
return T->getStmtClass() >= firstValueStmtConstant &&
T->getStmtClass() <= lastValueStmtConstant;
}
};
/// LabelStmt - Represents a label, which has a substatement. For example:
/// foo: return;
class LabelStmt : public ValueStmt {
LabelDecl *TheDecl;
Stmt *SubStmt;
public:
/// Build a label statement.
LabelStmt(SourceLocation IL, LabelDecl *D, Stmt *substmt)
: ValueStmt(LabelStmtClass), TheDecl(D), SubStmt(substmt) {
setIdentLoc(IL);
}
/// Build an empty label statement.
explicit LabelStmt(EmptyShell Empty) : ValueStmt(LabelStmtClass, Empty) {}
SourceLocation getIdentLoc() const { return LabelStmtBits.IdentLoc; }
void setIdentLoc(SourceLocation L) { LabelStmtBits.IdentLoc = L; }
LabelDecl *getDecl() const { return TheDecl; }
void setDecl(LabelDecl *D) { TheDecl = D; }
const char *getName() const;
Stmt *getSubStmt() { return SubStmt; }
const Stmt *getSubStmt() const { return SubStmt; }
void setSubStmt(Stmt *SS) { SubStmt = SS; }
SourceLocation getBeginLoc() const { return getIdentLoc(); }
SourceLocation getEndLoc() const LLVM_READONLY { return SubStmt->getEndLoc();}
child_range children() { return child_range(&SubStmt, &SubStmt + 1); }
const_child_range children() const {
return const_child_range(&SubStmt, &SubStmt + 1);
}
static bool classof(const Stmt *T) {
return T->getStmtClass() == LabelStmtClass;
}
};
/// Represents an attribute applied to a statement.
///
/// Represents an attribute applied to a statement. For example:
/// [[omp::for(...)]] for (...) { ... }
class AttributedStmt final
: public ValueStmt,
private llvm::TrailingObjects<AttributedStmt, const Attr *> {
friend class ASTStmtReader;
friend TrailingObjects;
Stmt *SubStmt;
AttributedStmt(SourceLocation Loc, ArrayRef<const Attr *> Attrs,
Stmt *SubStmt)
: ValueStmt(AttributedStmtClass), SubStmt(SubStmt) {
AttributedStmtBits.NumAttrs = Attrs.size();
AttributedStmtBits.AttrLoc = Loc;
std::copy(Attrs.begin(), Attrs.end(), getAttrArrayPtr());
}
explicit AttributedStmt(EmptyShell Empty, unsigned NumAttrs)
: ValueStmt(AttributedStmtClass, Empty) {
AttributedStmtBits.NumAttrs = NumAttrs;
AttributedStmtBits.AttrLoc = SourceLocation{};
std::fill_n(getAttrArrayPtr(), NumAttrs, nullptr);
}
const Attr *const *getAttrArrayPtr() const {
return getTrailingObjects<const Attr *>();
}
const Attr **getAttrArrayPtr() { return getTrailingObjects<const Attr *>(); }
public:
static AttributedStmt *Create(const ASTContext &C, SourceLocation Loc,
ArrayRef<const Attr *> Attrs, Stmt *SubStmt);
// Build an empty attributed statement.
static AttributedStmt *CreateEmpty(const ASTContext &C, unsigned NumAttrs);
SourceLocation getAttrLoc() const { return AttributedStmtBits.AttrLoc; }
ArrayRef<const Attr *> getAttrs() const {
return llvm::makeArrayRef(getAttrArrayPtr(), AttributedStmtBits.NumAttrs);
}
Stmt *getSubStmt() { return SubStmt; }
const Stmt *getSubStmt() const { return SubStmt; }
SourceLocation getBeginLoc() const { return getAttrLoc(); }
SourceLocation getEndLoc() const LLVM_READONLY { return SubStmt->getEndLoc();}
child_range children() { return child_range(&SubStmt, &SubStmt + 1); }
const_child_range children() const {
return const_child_range(&SubStmt, &SubStmt + 1);
}
static bool classof(const Stmt *T) {
return T->getStmtClass() == AttributedStmtClass;
}
};
/// IfStmt - This represents an if/then/else.
class IfStmt final
: public Stmt,
private llvm::TrailingObjects<IfStmt, Stmt *, SourceLocation> {
friend TrailingObjects;
// IfStmt is followed by several trailing objects, some of which optional.
// Note that it would be more convenient to put the optional trailing
// objects at then end but this would change the order of the children.
// The trailing objects are in order:
//
// * A "Stmt *" for the init statement.
// Present if and only if hasInitStorage().
//
// * A "Stmt *" for the condition variable.
// Present if and only if hasVarStorage(). This is in fact a "DeclStmt *".
//
// * A "Stmt *" for the condition.
// Always present. This is in fact a "Expr *".
//
// * A "Stmt *" for the then statement.
// Always present.
//
// * A "Stmt *" for the else statement.
// Present if and only if hasElseStorage().
//
// * A "SourceLocation" for the location of the "else".
// Present if and only if hasElseStorage().
enum { InitOffset = 0, ThenOffsetFromCond = 1, ElseOffsetFromCond = 2 };
enum { NumMandatoryStmtPtr = 2 };
unsigned numTrailingObjects(OverloadToken<Stmt *>) const {
return NumMandatoryStmtPtr + hasElseStorage() + hasVarStorage() +
hasInitStorage();
}
unsigned numTrailingObjects(OverloadToken<SourceLocation>) const {
return hasElseStorage();
}
unsigned initOffset() const { return InitOffset; }
unsigned varOffset() const { return InitOffset + hasInitStorage(); }
unsigned condOffset() const {
return InitOffset + hasInitStorage() + hasVarStorage();
}
unsigned thenOffset() const { return condOffset() + ThenOffsetFromCond; }
unsigned elseOffset() const { return condOffset() + ElseOffsetFromCond; }
/// Build an if/then/else statement.
IfStmt(const ASTContext &Ctx, SourceLocation IL, bool IsConstexpr, Stmt *Init,
VarDecl *Var, Expr *Cond, Stmt *Then, SourceLocation EL, Stmt *Else);
/// Build an empty if/then/else statement.
explicit IfStmt(EmptyShell Empty, bool HasElse, bool HasVar, bool HasInit);
public:
/// Create an IfStmt.
static IfStmt *Create(const ASTContext &Ctx, SourceLocation IL,
bool IsConstexpr, Stmt *Init, VarDecl *Var, Expr *Cond,
Stmt *Then, SourceLocation EL = SourceLocation(),
Stmt *Else = nullptr);
/// Create an empty IfStmt optionally with storage for an else statement,
/// condition variable and init expression.
static IfStmt *CreateEmpty(const ASTContext &Ctx, bool HasElse, bool HasVar,
bool HasInit);
/// True if this IfStmt has the storage for an init statement.
bool hasInitStorage() const { return IfStmtBits.HasInit; }
/// True if this IfStmt has storage for a variable declaration.
bool hasVarStorage() const { return IfStmtBits.HasVar; }
/// True if this IfStmt has storage for an else statement.
bool hasElseStorage() const { return IfStmtBits.HasElse; }
Expr *getCond() {
return reinterpret_cast<Expr *>(getTrailingObjects<Stmt *>()[condOffset()]);
}
const Expr *getCond() const {
return reinterpret_cast<Expr *>(getTrailingObjects<Stmt *>()[condOffset()]);
}
void setCond(Expr *Cond) {
getTrailingObjects<Stmt *>()[condOffset()] = reinterpret_cast<Stmt *>(Cond);
}
Stmt *getThen() { return getTrailingObjects<Stmt *>()[thenOffset()]; }
const Stmt *getThen() const {
return getTrailingObjects<Stmt *>()[thenOffset()];
}
void setThen(Stmt *Then) {
getTrailingObjects<Stmt *>()[thenOffset()] = Then;
}
Stmt *getElse() {
return hasElseStorage() ? getTrailingObjects<Stmt *>()[elseOffset()]
: nullptr;
}
const Stmt *getElse() const {
return hasElseStorage() ? getTrailingObjects<Stmt *>()[elseOffset()]
: nullptr;
}
void setElse(Stmt *Else) {
assert(hasElseStorage() &&
"This if statement has no storage for an else statement!");
getTrailingObjects<Stmt *>()[elseOffset()] = Else;
}
/// Retrieve the variable declared in this "if" statement, if any.
///
/// In the following example, "x" is the condition variable.
/// \code
/// if (int x = foo()) {
/// printf("x is %d", x);
/// }
/// \endcode
VarDecl *getConditionVariable();
const VarDecl *getConditionVariable() const {
return const_cast<IfStmt *>(this)->getConditionVariable();
}
/// Set the condition variable for this if statement.
/// The if statement must have storage for the condition variable.
void setConditionVariable(const ASTContext &Ctx, VarDecl *V);
/// If this IfStmt has a condition variable, return the faux DeclStmt
/// associated with the creation of that condition variable.
DeclStmt *getConditionVariableDeclStmt() {
return hasVarStorage() ? static_cast<DeclStmt *>(
getTrailingObjects<Stmt *>()[varOffset()])
: nullptr;
}
const DeclStmt *getConditionVariableDeclStmt() const {
return hasVarStorage() ? static_cast<DeclStmt *>(
getTrailingObjects<Stmt *>()[varOffset()])
: nullptr;
}
Stmt *getInit() {
return hasInitStorage() ? getTrailingObjects<Stmt *>()[initOffset()]
: nullptr;
}
const Stmt *getInit() const {
return hasInitStorage() ? getTrailingObjects<Stmt *>()[initOffset()]
: nullptr;
}
void setInit(Stmt *Init) {
assert(hasInitStorage() &&
"This if statement has no storage for an init statement!");
getTrailingObjects<Stmt *>()[initOffset()] = Init;
}
SourceLocation getIfLoc() const { return IfStmtBits.IfLoc; }
void setIfLoc(SourceLocation IfLoc) { IfStmtBits.IfLoc = IfLoc; }
SourceLocation getElseLoc() const {
return hasElseStorage() ? *getTrailingObjects<SourceLocation>()
: SourceLocation();
}
void setElseLoc(SourceLocation ElseLoc) {
assert(hasElseStorage() &&
"This if statement has no storage for an else statement!");
*getTrailingObjects<SourceLocation>() = ElseLoc;
}
bool isConstexpr() const { return IfStmtBits.IsConstexpr; }
void setConstexpr(bool C) { IfStmtBits.IsConstexpr = C; }
/// If this is an 'if constexpr', determine which substatement will be taken.
/// Otherwise, or if the condition is value-dependent, returns None.
Optional<const Stmt*> getNondiscardedCase(const ASTContext &Ctx) const;
bool isObjCAvailabilityCheck() const;
SourceLocation getBeginLoc() const { return getIfLoc(); }
SourceLocation getEndLoc() const LLVM_READONLY {
if (getElse())
return getElse()->getEndLoc();
return getThen()->getEndLoc();
}
// Iterators over subexpressions. The iterators will include iterating
// over the initialization expression referenced by the condition variable.
child_range children() {
return child_range(getTrailingObjects<Stmt *>(),
getTrailingObjects<Stmt *>() +
numTrailingObjects(OverloadToken<Stmt *>()));
}
const_child_range children() const {
return const_child_range(getTrailingObjects<Stmt *>(),
getTrailingObjects<Stmt *>() +
numTrailingObjects(OverloadToken<Stmt *>()));
}
static bool classof(const Stmt *T) {
return T->getStmtClass() == IfStmtClass;
}
};
/// SwitchStmt - This represents a 'switch' stmt.
class SwitchStmt final : public Stmt,
private llvm::TrailingObjects<SwitchStmt, Stmt *> {
friend TrailingObjects;
/// Points to a linked list of case and default statements.
SwitchCase *FirstCase;
// SwitchStmt is followed by several trailing objects,
// some of which optional. Note that it would be more convenient to
// put the optional trailing objects at the end but this would change
// the order in children().
// The trailing objects are in order:
//
// * A "Stmt *" for the init statement.
// Present if and only if hasInitStorage().
//
// * A "Stmt *" for the condition variable.
// Present if and only if hasVarStorage(). This is in fact a "DeclStmt *".
//
// * A "Stmt *" for the condition.
// Always present. This is in fact an "Expr *".
//
// * A "Stmt *" for the body.
// Always present.
enum { InitOffset = 0, BodyOffsetFromCond = 1 };
enum { NumMandatoryStmtPtr = 2 };
unsigned numTrailingObjects(OverloadToken<Stmt *>) const {
return NumMandatoryStmtPtr + hasInitStorage() + hasVarStorage();
}
unsigned initOffset() const { return InitOffset; }
unsigned varOffset() const { return InitOffset + hasInitStorage(); }
unsigned condOffset() const {
return InitOffset + hasInitStorage() + hasVarStorage();
}
unsigned bodyOffset() const { return condOffset() + BodyOffsetFromCond; }
/// Build a switch statement.
SwitchStmt(const ASTContext &Ctx, Stmt *Init, VarDecl *Var, Expr *Cond);
/// Build a empty switch statement.
explicit SwitchStmt(EmptyShell Empty, bool HasInit, bool HasVar);
public:
/// Create a switch statement.
static SwitchStmt *Create(const ASTContext &Ctx, Stmt *Init, VarDecl *Var,
Expr *Cond);
/// Create an empty switch statement optionally with storage for
/// an init expression and a condition variable.
static SwitchStmt *CreateEmpty(const ASTContext &Ctx, bool HasInit,
bool HasVar);
/// True if this SwitchStmt has storage for an init statement.
bool hasInitStorage() const { return SwitchStmtBits.HasInit; }
/// True if this SwitchStmt has storage for a condition variable.
bool hasVarStorage() const { return SwitchStmtBits.HasVar; }
Expr *getCond() {
return reinterpret_cast<Expr *>(getTrailingObjects<Stmt *>()[condOffset()]);
}
const Expr *getCond() const {
return reinterpret_cast<Expr *>(getTrailingObjects<Stmt *>()[condOffset()]);
}
void setCond(Expr *Cond) {
getTrailingObjects<Stmt *>()[condOffset()] = reinterpret_cast<Stmt *>(Cond);
}
Stmt *getBody() { return getTrailingObjects<Stmt *>()[bodyOffset()]; }
const Stmt *getBody() const {
return getTrailingObjects<Stmt *>()[bodyOffset()];
}
void setBody(Stmt *Body) {
getTrailingObjects<Stmt *>()[bodyOffset()] = Body;
}
Stmt *getInit() {
return hasInitStorage() ? getTrailingObjects<Stmt *>()[initOffset()]
: nullptr;
}
const Stmt *getInit() const {
return hasInitStorage() ? getTrailingObjects<Stmt *>()[initOffset()]
: nullptr;
}
void setInit(Stmt *Init) {
assert(hasInitStorage() &&
"This switch statement has no storage for an init statement!");
getTrailingObjects<Stmt *>()[initOffset()] = Init;
}
/// Retrieve the variable declared in this "switch" statement, if any.
///
/// In the following example, "x" is the condition variable.
/// \code
/// switch (int x = foo()) {
/// case 0: break;
/// // ...
/// }
/// \endcode
VarDecl *getConditionVariable();
const VarDecl *getConditionVariable() const {
return const_cast<SwitchStmt *>(this)->getConditionVariable();
}
/// Set the condition variable in this switch statement.
/// The switch statement must have storage for it.
void setConditionVariable(const ASTContext &Ctx, VarDecl *VD);
/// If this SwitchStmt has a condition variable, return the faux DeclStmt
/// associated with the creation of that condition variable.
DeclStmt *getConditionVariableDeclStmt() {
return hasVarStorage() ? static_cast<DeclStmt *>(
getTrailingObjects<Stmt *>()[varOffset()])
: nullptr;
}
const DeclStmt *getConditionVariableDeclStmt() const {
return hasVarStorage() ? static_cast<DeclStmt *>(
getTrailingObjects<Stmt *>()[varOffset()])
: nullptr;
}
SwitchCase *getSwitchCaseList() { return FirstCase; }
const SwitchCase *getSwitchCaseList() const { return FirstCase; }
void setSwitchCaseList(SwitchCase *SC) { FirstCase = SC; }
SourceLocation getSwitchLoc() const { return SwitchStmtBits.SwitchLoc; }
void setSwitchLoc(SourceLocation L) { SwitchStmtBits.SwitchLoc = L; }
void setBody(Stmt *S, SourceLocation SL) {
setBody(S);
setSwitchLoc(SL);
}
void addSwitchCase(SwitchCase *SC) {
assert(!SC->getNextSwitchCase() &&
"case/default already added to a switch");
SC->setNextSwitchCase(FirstCase);
FirstCase = SC;
}
/// Set a flag in the SwitchStmt indicating that if the 'switch (X)' is a
/// switch over an enum value then all cases have been explicitly covered.
void setAllEnumCasesCovered() { SwitchStmtBits.AllEnumCasesCovered = true; }
/// Returns true if the SwitchStmt is a switch of an enum value and all cases
/// have been explicitly covered.
bool isAllEnumCasesCovered() const {
return SwitchStmtBits.AllEnumCasesCovered;
}
SourceLocation getBeginLoc() const { return getSwitchLoc(); }
SourceLocation getEndLoc() const LLVM_READONLY {
return getBody() ? getBody()->getEndLoc()
: reinterpret_cast<const Stmt *>(getCond())->getEndLoc();
}
// Iterators
child_range children() {
return child_range(getTrailingObjects<Stmt *>(),
getTrailingObjects<Stmt *>() +
numTrailingObjects(OverloadToken<Stmt *>()));
}
const_child_range children() const {
return const_child_range(getTrailingObjects<Stmt *>(),
getTrailingObjects<Stmt *>() +
numTrailingObjects(OverloadToken<Stmt *>()));
}
static bool classof(const Stmt *T) {
return T->getStmtClass() == SwitchStmtClass;
}
};
/// WhileStmt - This represents a 'while' stmt.
class WhileStmt final : public Stmt,
private llvm::TrailingObjects<WhileStmt, Stmt *> {
friend TrailingObjects;
// WhileStmt is followed by several trailing objects,
// some of which optional. Note that it would be more
// convenient to put the optional trailing object at the end
// but this would affect children().
// The trailing objects are in order:
//
// * A "Stmt *" for the condition variable.
// Present if and only if hasVarStorage(). This is in fact a "DeclStmt *".
//
// * A "Stmt *" for the condition.
// Always present. This is in fact an "Expr *".
//
// * A "Stmt *" for the body.
// Always present.
//
enum { VarOffset = 0, BodyOffsetFromCond = 1 };
enum { NumMandatoryStmtPtr = 2 };
unsigned varOffset() const { return VarOffset; }
unsigned condOffset() const { return VarOffset + hasVarStorage(); }
unsigned bodyOffset() const { return condOffset() + BodyOffsetFromCond; }
unsigned numTrailingObjects(OverloadToken<Stmt *>) const {
return NumMandatoryStmtPtr + hasVarStorage();
}
/// Build a while statement.
WhileStmt(const ASTContext &Ctx, VarDecl *Var, Expr *Cond, Stmt *Body,
SourceLocation WL);
/// Build an empty while statement.
explicit WhileStmt(EmptyShell Empty, bool HasVar);
public:
/// Create a while statement.
static WhileStmt *Create(const ASTContext &Ctx, VarDecl *Var, Expr *Cond,
Stmt *Body, SourceLocation WL);
/// Create an empty while statement optionally with storage for
/// a condition variable.
static WhileStmt *CreateEmpty(const ASTContext &Ctx, bool HasVar);
/// True if this WhileStmt has storage for a condition variable.
bool hasVarStorage() const { return WhileStmtBits.HasVar; }
Expr *getCond() {
return reinterpret_cast<Expr *>(getTrailingObjects<Stmt *>()[condOffset()]);
}
const Expr *getCond() const {
return reinterpret_cast<Expr *>(getTrailingObjects<Stmt *>()[condOffset()]);
}
void setCond(Expr *Cond) {
getTrailingObjects<Stmt *>()[condOffset()] = reinterpret_cast<Stmt *>(Cond);
}
Stmt *getBody() { return getTrailingObjects<Stmt *>()[bodyOffset()]; }
const Stmt *getBody() const {
return getTrailingObjects<Stmt *>()[bodyOffset()];
}
void setBody(Stmt *Body) {
getTrailingObjects<Stmt *>()[bodyOffset()] = Body;
}
/// Retrieve the variable declared in this "while" statement, if any.
///
/// In the following example, "x" is the condition variable.
/// \code
/// while (int x = random()) {
/// // ...
/// }
/// \endcode
VarDecl *getConditionVariable();
const VarDecl *getConditionVariable() const {
return const_cast<WhileStmt *>(this)->getConditionVariable();
}
/// Set the condition variable of this while statement.
/// The while statement must have storage for it.
void setConditionVariable(const ASTContext &Ctx, VarDecl *V);
/// If this WhileStmt has a condition variable, return the faux DeclStmt
/// associated with the creation of that condition variable.
DeclStmt *getConditionVariableDeclStmt() {
return hasVarStorage() ? static_cast<DeclStmt *>(
getTrailingObjects<Stmt *>()[varOffset()])
: nullptr;
}
const DeclStmt *getConditionVariableDeclStmt() const {
return hasVarStorage() ? static_cast<DeclStmt *>(
getTrailingObjects<Stmt *>()[varOffset()])
: nullptr;
}
SourceLocation getWhileLoc() const { return WhileStmtBits.WhileLoc; }
void setWhileLoc(SourceLocation L) { WhileStmtBits.WhileLoc = L; }
SourceLocation getBeginLoc() const { return getWhileLoc(); }
SourceLocation getEndLoc() const LLVM_READONLY {
return getBody()->getEndLoc();
}
static bool classof(const Stmt *T) {
return T->getStmtClass() == WhileStmtClass;
}
// Iterators
child_range children() {
return child_range(getTrailingObjects<Stmt *>(),
getTrailingObjects<Stmt *>() +
numTrailingObjects(OverloadToken<Stmt *>()));
}
const_child_range children() const {
return const_child_range(getTrailingObjects<Stmt *>(),
getTrailingObjects<Stmt *>() +
numTrailingObjects(OverloadToken<Stmt *>()));
}
};
/// DoStmt - This represents a 'do/while' stmt.
class DoStmt : public Stmt {
enum { BODY, COND, END_EXPR };
Stmt *SubExprs[END_EXPR];
SourceLocation WhileLoc;
SourceLocation RParenLoc; // Location of final ')' in do stmt condition.
public:
DoStmt(Stmt *Body, Expr *Cond, SourceLocation DL, SourceLocation WL,
SourceLocation RP)
: Stmt(DoStmtClass), WhileLoc(WL), RParenLoc(RP) {
setCond(Cond);
setBody(Body);
setDoLoc(DL);
}
/// Build an empty do-while statement.
explicit DoStmt(EmptyShell Empty) : Stmt(DoStmtClass, Empty) {}
Expr *getCond() { return reinterpret_cast<Expr *>(SubExprs[COND]); }
const Expr *getCond() const {
return reinterpret_cast<Expr *>(SubExprs[COND]);
}
void setCond(Expr *Cond) { SubExprs[COND] = reinterpret_cast<Stmt *>(Cond); }
Stmt *getBody() { return SubExprs[BODY]; }
const Stmt *getBody() const { return SubExprs[BODY]; }
void setBody(Stmt *Body) { SubExprs[BODY] = Body; }
SourceLocation getDoLoc() const { return DoStmtBits.DoLoc; }
void setDoLoc(SourceLocation L) { DoStmtBits.DoLoc = L; }
SourceLocation getWhileLoc() const { return WhileLoc; }
void setWhileLoc(SourceLocation L) { WhileLoc = L; }
SourceLocation getRParenLoc() const { return RParenLoc; }
void setRParenLoc(SourceLocation L) { RParenLoc = L; }
SourceLocation getBeginLoc() const { return getDoLoc(); }
SourceLocation getEndLoc() const { return getRParenLoc(); }
static bool classof(const Stmt *T) {
return T->getStmtClass() == DoStmtClass;
}
// Iterators
child_range children() {
return child_range(&SubExprs[0], &SubExprs[0] + END_EXPR);
}
const_child_range children() const {
return const_child_range(&SubExprs[0], &SubExprs[0] + END_EXPR);
}
};
/// ForStmt - This represents a 'for (init;cond;inc)' stmt. Note that any of
/// the init/cond/inc parts of the ForStmt will be null if they were not
/// specified in the source.
class ForStmt : public Stmt {
enum { INIT, CONDVAR, COND, INC, BODY, END_EXPR };
Stmt* SubExprs[END_EXPR]; // SubExprs[INIT] is an expression or declstmt.
SourceLocation LParenLoc, RParenLoc;
public:
ForStmt(const ASTContext &C, Stmt *Init, Expr *Cond, VarDecl *condVar,
Expr *Inc, Stmt *Body, SourceLocation FL, SourceLocation LP,
SourceLocation RP);
/// Build an empty for statement.
explicit ForStmt(EmptyShell Empty) : Stmt(ForStmtClass, Empty) {}
Stmt *getInit() { return SubExprs[INIT]; }
/// Retrieve the variable declared in this "for" statement, if any.
///
/// In the following example, "y" is the condition variable.
/// \code
/// for (int x = random(); int y = mangle(x); ++x) {
/// // ...
/// }
/// \endcode
VarDecl *getConditionVariable() const;
void setConditionVariable(const ASTContext &C, VarDecl *V);
/// If this ForStmt has a condition variable, return the faux DeclStmt
/// associated with the creation of that condition variable.
const DeclStmt *getConditionVariableDeclStmt() const {
return reinterpret_cast<DeclStmt*>(SubExprs[CONDVAR]);
}
Expr *getCond() { return reinterpret_cast<Expr*>(SubExprs[COND]); }
Expr *getInc() { return reinterpret_cast<Expr*>(SubExprs[INC]); }
Stmt *getBody() { return SubExprs[BODY]; }
const Stmt *getInit() const { return SubExprs[INIT]; }
const Expr *getCond() const { return reinterpret_cast<Expr*>(SubExprs[COND]);}
const Expr *getInc() const { return reinterpret_cast<Expr*>(SubExprs[INC]); }
const Stmt *getBody() const { return SubExprs[BODY]; }
void setInit(Stmt *S) { SubExprs[INIT] = S; }
void setCond(Expr *E) { SubExprs[COND] = reinterpret_cast<Stmt*>(E); }
void setInc(Expr *E) { SubExprs[INC] = reinterpret_cast<Stmt*>(E); }
void setBody(Stmt *S) { SubExprs[BODY] = S; }
SourceLocation getForLoc() const { return ForStmtBits.ForLoc; }
void setForLoc(SourceLocation L) { ForStmtBits.ForLoc = L; }
SourceLocation getLParenLoc() const { return LParenLoc; }
void setLParenLoc(SourceLocation L) { LParenLoc = L; }
SourceLocation getRParenLoc() const { return RParenLoc; }
void setRParenLoc(SourceLocation L) { RParenLoc = L; }
SourceLocation getBeginLoc() const { return getForLoc(); }
SourceLocation getEndLoc() const { return getBody()->getEndLoc(); }
static bool classof(const Stmt *T) {
return T->getStmtClass() == ForStmtClass;
}
// Iterators
child_range children() {
return child_range(&SubExprs[0], &SubExprs[0]+END_EXPR);
}
const_child_range children() const {
return const_child_range(&SubExprs[0], &SubExprs[0] + END_EXPR);
}
};
/// GotoStmt - This represents a direct goto.
class GotoStmt : public Stmt {
LabelDecl *Label;
SourceLocation LabelLoc;
public:
GotoStmt(LabelDecl *label, SourceLocation GL, SourceLocation LL)
: Stmt(GotoStmtClass), Label(label), LabelLoc(LL) {
setGotoLoc(GL);
}
/// Build an empty goto statement.
explicit GotoStmt(EmptyShell Empty) : Stmt(GotoStmtClass, Empty) {}
LabelDecl *getLabel() const { return Label; }
void setLabel(LabelDecl *D) { Label = D; }
SourceLocation getGotoLoc() const { return GotoStmtBits.GotoLoc; }
void setGotoLoc(SourceLocation L) { GotoStmtBits.GotoLoc = L; }
SourceLocation getLabelLoc() const { return LabelLoc; }
void setLabelLoc(SourceLocation L) { LabelLoc = L; }
SourceLocation getBeginLoc() const { return getGotoLoc(); }
SourceLocation getEndLoc() const { return getLabelLoc(); }
static bool classof(const Stmt *T) {
return T->getStmtClass() == GotoStmtClass;
}
// Iterators
child_range children() {
return child_range(child_iterator(), child_iterator());
}
const_child_range children() const {
return const_child_range(const_child_iterator(), const_child_iterator());
}
};
/// IndirectGotoStmt - This represents an indirect goto.
class IndirectGotoStmt : public Stmt {
SourceLocation StarLoc;
Stmt *Target;
public:
IndirectGotoStmt(SourceLocation gotoLoc, SourceLocation starLoc, Expr *target)
: Stmt(IndirectGotoStmtClass), StarLoc(starLoc) {
setTarget(target);
setGotoLoc(gotoLoc);
}
/// Build an empty indirect goto statement.
explicit IndirectGotoStmt(EmptyShell Empty)
: Stmt(IndirectGotoStmtClass, Empty) {}
void setGotoLoc(SourceLocation L) { GotoStmtBits.GotoLoc = L; }
SourceLocation getGotoLoc() const { return GotoStmtBits.GotoLoc; }
void setStarLoc(SourceLocation L) { StarLoc = L; }
SourceLocation getStarLoc() const { return StarLoc; }
Expr *getTarget() { return reinterpret_cast<Expr *>(Target); }
const Expr *getTarget() const {
return reinterpret_cast<const Expr *>(Target);
}
void setTarget(Expr *E) { Target = reinterpret_cast<Stmt *>(E); }
/// getConstantTarget - Returns the fixed target of this indirect
/// goto, if one exists.
LabelDecl *getConstantTarget();
const LabelDecl *getConstantTarget() const {
return const_cast<IndirectGotoStmt *>(this)->getConstantTarget();
}
SourceLocation getBeginLoc() const { return getGotoLoc(); }
SourceLocation getEndLoc() const LLVM_READONLY { return Target->getEndLoc(); }
static bool classof(const Stmt *T) {
return T->getStmtClass() == IndirectGotoStmtClass;
}
// Iterators
child_range children() { return child_range(&Target, &Target + 1); }
const_child_range children() const {
return const_child_range(&Target, &Target + 1);
}
};
/// ContinueStmt - This represents a continue.
class ContinueStmt : public Stmt {
public:
ContinueStmt(SourceLocation CL) : Stmt(ContinueStmtClass) {
setContinueLoc(CL);
}
/// Build an empty continue statement.
explicit ContinueStmt(EmptyShell Empty) : Stmt(ContinueStmtClass, Empty) {}
SourceLocation getContinueLoc() const { return ContinueStmtBits.ContinueLoc; }
void setContinueLoc(SourceLocation L) { ContinueStmtBits.ContinueLoc = L; }
SourceLocation getBeginLoc() const { return getContinueLoc(); }
SourceLocation getEndLoc() const { return getContinueLoc(); }
static bool classof(const Stmt *T) {
return T->getStmtClass() == ContinueStmtClass;
}
// Iterators
child_range children() {
return child_range(child_iterator(), child_iterator());
}
const_child_range children() const {
return const_child_range(const_child_iterator(), const_child_iterator());
}
};
/// BreakStmt - This represents a break.
class BreakStmt : public Stmt {
public:
BreakStmt(SourceLocation BL) : Stmt(BreakStmtClass) {
setBreakLoc(BL);
}
/// Build an empty break statement.
explicit BreakStmt(EmptyShell Empty) : Stmt(BreakStmtClass, Empty) {}
SourceLocation getBreakLoc() const { return BreakStmtBits.BreakLoc; }
void setBreakLoc(SourceLocation L) { BreakStmtBits.BreakLoc = L; }
SourceLocation getBeginLoc() const { return getBreakLoc(); }
SourceLocation getEndLoc() const { return getBreakLoc(); }
static bool classof(const Stmt *T) {
return T->getStmtClass() == BreakStmtClass;
}
// Iterators
child_range children() {
return child_range(child_iterator(), child_iterator());
}
const_child_range children() const {
return const_child_range(const_child_iterator(), const_child_iterator());
}
};
/// ReturnStmt - This represents a return, optionally of an expression:
/// return;
/// return 4;
///
/// Note that GCC allows return with no argument in a function declared to
/// return a value, and it allows returning a value in functions declared to
/// return void. We explicitly model this in the AST, which means you can't
/// depend on the return type of the function and the presence of an argument.
class ReturnStmt final
: public Stmt,
private llvm::TrailingObjects<ReturnStmt, const VarDecl *> {
friend TrailingObjects;
/// The return expression.
Stmt *RetExpr;
// ReturnStmt is followed optionally by a trailing "const VarDecl *"
// for the NRVO candidate. Present if and only if hasNRVOCandidate().
/// True if this ReturnStmt has storage for an NRVO candidate.
bool hasNRVOCandidate() const { return ReturnStmtBits.HasNRVOCandidate; }
unsigned numTrailingObjects(OverloadToken<const VarDecl *>) const {
return hasNRVOCandidate();
}
/// Build a return statement.
ReturnStmt(SourceLocation RL, Expr *E, const VarDecl *NRVOCandidate);
/// Build an empty return statement.
explicit ReturnStmt(EmptyShell Empty, bool HasNRVOCandidate);
public:
/// Create a return statement.
static ReturnStmt *Create(const ASTContext &Ctx, SourceLocation RL, Expr *E,
const VarDecl *NRVOCandidate);
/// Create an empty return statement, optionally with
/// storage for an NRVO candidate.
static ReturnStmt *CreateEmpty(const ASTContext &Ctx, bool HasNRVOCandidate);
Expr *getRetValue() { return reinterpret_cast<Expr *>(RetExpr); }
const Expr *getRetValue() const { return reinterpret_cast<Expr *>(RetExpr); }
void setRetValue(Expr *E) { RetExpr = reinterpret_cast<Stmt *>(E); }
/// Retrieve the variable that might be used for the named return
/// value optimization.
///
/// The optimization itself can only be performed if the variable is
/// also marked as an NRVO object.
const VarDecl *getNRVOCandidate() const {
return hasNRVOCandidate() ? *getTrailingObjects<const VarDecl *>()
: nullptr;
}
/// Set the variable that might be used for the named return value
/// optimization. The return statement must have storage for it,
/// which is the case if and only if hasNRVOCandidate() is true.
void setNRVOCandidate(const VarDecl *Var) {
assert(hasNRVOCandidate() &&
"This return statement has no storage for an NRVO candidate!");
*getTrailingObjects<const VarDecl *>() = Var;
}
SourceLocation getReturnLoc() const { return ReturnStmtBits.RetLoc; }
void setReturnLoc(SourceLocation L) { ReturnStmtBits.RetLoc = L; }
SourceLocation getBeginLoc() const { return getReturnLoc(); }
SourceLocation getEndLoc() const LLVM_READONLY {
return RetExpr ? RetExpr->getEndLoc() : getReturnLoc();
}
static bool classof(const Stmt *T) {
return T->getStmtClass() == ReturnStmtClass;
}
// Iterators
child_range children() {
if (RetExpr)
return child_range(&RetExpr, &RetExpr + 1);
return child_range(child_iterator(), child_iterator());
}
const_child_range children() const {
if (RetExpr)
return const_child_range(&RetExpr, &RetExpr + 1);
return const_child_range(const_child_iterator(), const_child_iterator());
}
};
/// AsmStmt is the base class for GCCAsmStmt and MSAsmStmt.
class AsmStmt : public Stmt {
protected:
friend class ASTStmtReader;
SourceLocation AsmLoc;
/// True if the assembly statement does not have any input or output
/// operands.
bool IsSimple;
/// If true, treat this inline assembly as having side effects.
/// This assembly statement should not be optimized, deleted or moved.
bool IsVolatile;
unsigned NumOutputs;
unsigned NumInputs;
unsigned NumClobbers;
Stmt **Exprs = nullptr;
AsmStmt(StmtClass SC, SourceLocation asmloc, bool issimple, bool isvolatile,
unsigned numoutputs, unsigned numinputs, unsigned numclobbers)
: Stmt (SC), AsmLoc(asmloc), IsSimple(issimple), IsVolatile(isvolatile),
NumOutputs(numoutputs), NumInputs(numinputs),
NumClobbers(numclobbers) {}
public:
/// Build an empty inline-assembly statement.
explicit AsmStmt(StmtClass SC, EmptyShell Empty) : Stmt(SC, Empty) {}
SourceLocation getAsmLoc() const { return AsmLoc; }
void setAsmLoc(SourceLocation L) { AsmLoc = L; }
bool isSimple() const { return IsSimple; }
void setSimple(bool V) { IsSimple = V; }
bool isVolatile() const { return IsVolatile; }
void setVolatile(bool V) { IsVolatile = V; }
SourceLocation getBeginLoc() const LLVM_READONLY { return {}; }
SourceLocation getEndLoc() const LLVM_READONLY { return {}; }
//===--- Asm String Analysis ---===//
/// Assemble final IR asm string.
std::string generateAsmString(const ASTContext &C) const;
//===--- Output operands ---===//
unsigned getNumOutputs() const { return NumOutputs; }
/// getOutputConstraint - Return the constraint string for the specified
/// output operand. All output constraints are known to be non-empty (either
/// '=' or '+').
StringRef getOutputConstraint(unsigned i) const;
/// isOutputPlusConstraint - Return true if the specified output constraint
/// is a "+" constraint (which is both an input and an output) or false if it
/// is an "=" constraint (just an output).
bool isOutputPlusConstraint(unsigned i) const {
return getOutputConstraint(i)[0] == '+';
}
const Expr *getOutputExpr(unsigned i) const;
/// getNumPlusOperands - Return the number of output operands that have a "+"
/// constraint.
unsigned getNumPlusOperands() const;
//===--- Input operands ---===//
unsigned getNumInputs() const { return NumInputs; }
/// getInputConstraint - Return the specified input constraint. Unlike output
/// constraints, these can be empty.
StringRef getInputConstraint(unsigned i) const;
const Expr *getInputExpr(unsigned i) const;
//===--- Other ---===//
unsigned getNumClobbers() const { return NumClobbers; }
StringRef getClobber(unsigned i) const;
static bool classof(const Stmt *T) {
return T->getStmtClass() == GCCAsmStmtClass ||
T->getStmtClass() == MSAsmStmtClass;
}
// Input expr iterators.
using inputs_iterator = ExprIterator;
using const_inputs_iterator = ConstExprIterator;
using inputs_range = llvm::iterator_range<inputs_iterator>;
using inputs_const_range = llvm::iterator_range<const_inputs_iterator>;
inputs_iterator begin_inputs() {
return &Exprs[0] + NumOutputs;
}
inputs_iterator end_inputs() {
return &Exprs[0] + NumOutputs + NumInputs;
}
inputs_range inputs() { return inputs_range(begin_inputs(), end_inputs()); }
const_inputs_iterator begin_inputs() const {
return &Exprs[0] + NumOutputs;
}
const_inputs_iterator end_inputs() const {
return &Exprs[0] + NumOutputs + NumInputs;
}
inputs_const_range inputs() const {
return inputs_const_range(begin_inputs(), end_inputs());
}
// Output expr iterators.
using outputs_iterator = ExprIterator;
using const_outputs_iterator = ConstExprIterator;
using outputs_range = llvm::iterator_range<outputs_iterator>;
using outputs_const_range = llvm::iterator_range<const_outputs_iterator>;
outputs_iterator begin_outputs() {
return &Exprs[0];
}
outputs_iterator end_outputs() {
return &Exprs[0] + NumOutputs;
}
outputs_range outputs() {
return outputs_range(begin_outputs(), end_outputs());
}
const_outputs_iterator begin_outputs() const {
return &Exprs[0];
}
const_outputs_iterator end_outputs() const {
return &Exprs[0] + NumOutputs;
}
outputs_const_range outputs() const {
return outputs_const_range(begin_outputs(), end_outputs());
}
child_range children() {
return child_range(&Exprs[0], &Exprs[0] + NumOutputs + NumInputs);
}
const_child_range children() const {
return const_child_range(&Exprs[0], &Exprs[0] + NumOutputs + NumInputs);
}
};
/// This represents a GCC inline-assembly statement extension.
class GCCAsmStmt : public AsmStmt {
friend class ASTStmtReader;
SourceLocation RParenLoc;
StringLiteral *AsmStr;
// FIXME: If we wanted to, we could allocate all of these in one big array.
StringLiteral **Constraints = nullptr;
StringLiteral **Clobbers = nullptr;
IdentifierInfo **Names = nullptr;
unsigned NumLabels = 0;
public:
GCCAsmStmt(const ASTContext &C, SourceLocation asmloc, bool issimple,
bool isvolatile, unsigned numoutputs, unsigned numinputs,
IdentifierInfo **names, StringLiteral **constraints, Expr **exprs,
StringLiteral *asmstr, unsigned numclobbers,
StringLiteral **clobbers, unsigned numlabels,
SourceLocation rparenloc);
/// Build an empty inline-assembly statement.
explicit GCCAsmStmt(EmptyShell Empty) : AsmStmt(GCCAsmStmtClass, Empty) {}
SourceLocation getRParenLoc() const { return RParenLoc; }
void setRParenLoc(SourceLocation L) { RParenLoc = L; }
//===--- Asm String Analysis ---===//
const StringLiteral *getAsmString() const { return AsmStr; }
StringLiteral *getAsmString() { return AsmStr; }
void setAsmString(StringLiteral *E) { AsmStr = E; }
/// AsmStringPiece - this is part of a decomposed asm string specification
/// (for use with the AnalyzeAsmString function below). An asm string is
/// considered to be a concatenation of these parts.
class AsmStringPiece {
public:
enum Kind {
String, // String in .ll asm string form, "$" -> "$$" and "%%" -> "%".
Operand // Operand reference, with optional modifier %c4.
};
private:
Kind MyKind;
std::string Str;
unsigned OperandNo;
// Source range for operand references.
CharSourceRange Range;
public:
AsmStringPiece(const std::string &S) : MyKind(String), Str(S) {}
AsmStringPiece(unsigned OpNo, const std::string &S, SourceLocation Begin,
SourceLocation End)
: MyKind(Operand), Str(S), OperandNo(OpNo),
Range(CharSourceRange::getCharRange(Begin, End)) {}
bool isString() const { return MyKind == String; }
bool isOperand() const { return MyKind == Operand; }
const std::string &getString() const { return Str; }
unsigned getOperandNo() const {
assert(isOperand());
return OperandNo;
}
CharSourceRange getRange() const {
assert(isOperand() && "Range is currently used only for Operands.");
return Range;
}
/// getModifier - Get the modifier for this operand, if present. This
/// returns '\0' if there was no modifier.
char getModifier() const;
};
/// AnalyzeAsmString - Analyze the asm string of the current asm, decomposing
/// it into pieces. If the asm string is erroneous, emit errors and return
/// true, otherwise return false. This handles canonicalization and
/// translation of strings from GCC syntax to LLVM IR syntax, and handles
//// flattening of named references like %[foo] to Operand AsmStringPiece's.
unsigned AnalyzeAsmString(SmallVectorImpl<AsmStringPiece> &Pieces,
const ASTContext &C, unsigned &DiagOffs) const;
/// Assemble final IR asm string.
std::string generateAsmString(const ASTContext &C) const;
//===--- Output operands ---===//
IdentifierInfo *getOutputIdentifier(unsigned i) const { return Names[i]; }
StringRef getOutputName(unsigned i) const {
if (IdentifierInfo *II = getOutputIdentifier(i))
return II->getName();
return {};
}
StringRef getOutputConstraint(unsigned i) const;
const StringLiteral *getOutputConstraintLiteral(unsigned i) const {
return Constraints[i];
}
StringLiteral *getOutputConstraintLiteral(unsigned i) {
return Constraints[i];
}
Expr *getOutputExpr(unsigned i);
const Expr *getOutputExpr(unsigned i) const {
return const_cast<GCCAsmStmt*>(this)->getOutputExpr(i);
}
//===--- Input operands ---===//
IdentifierInfo *getInputIdentifier(unsigned i) const {
return Names[i + NumOutputs];
}
StringRef getInputName(unsigned i) const {
if (IdentifierInfo *II = getInputIdentifier(i))
return II->getName();
return {};
}
StringRef getInputConstraint(unsigned i) const;
const StringLiteral *getInputConstraintLiteral(unsigned i) const {
return Constraints[i + NumOutputs];
}
StringLiteral *getInputConstraintLiteral(unsigned i) {
return Constraints[i + NumOutputs];
}
Expr *getInputExpr(unsigned i);
void setInputExpr(unsigned i, Expr *E);
const Expr *getInputExpr(unsigned i) const {
return const_cast<GCCAsmStmt*>(this)->getInputExpr(i);
}
//===--- Labels ---===//
bool isAsmGoto() const {
return NumLabels > 0;
}
unsigned getNumLabels() const {
return NumLabels;
}
IdentifierInfo *getLabelIdentifier(unsigned i) const {
return Names[i + NumOutputs + NumInputs];
}
AddrLabelExpr *getLabelExpr(unsigned i) const;
StringRef getLabelName(unsigned i) const;
using labels_iterator = CastIterator<AddrLabelExpr>;
using const_labels_iterator = ConstCastIterator<AddrLabelExpr>;
using labels_range = llvm::iterator_range<labels_iterator>;
using labels_const_range = llvm::iterator_range<const_labels_iterator>;
labels_iterator begin_labels() {
return &Exprs[0] + NumOutputs + NumInputs;
}
labels_iterator end_labels() {
return &Exprs[0] + NumOutputs + NumInputs + NumLabels;
}
labels_range labels() {
return labels_range(begin_labels(), end_labels());
}
const_labels_iterator begin_labels() const {
return &Exprs[0] + NumOutputs + NumInputs;
}
const_labels_iterator end_labels() const {
return &Exprs[0] + NumOutputs + NumInputs + NumLabels;
}
labels_const_range labels() const {
return labels_const_range(begin_labels(), end_labels());
}
private:
void setOutputsAndInputsAndClobbers(const ASTContext &C,
IdentifierInfo **Names,
StringLiteral **Constraints,
Stmt **Exprs,
unsigned NumOutputs,
unsigned NumInputs,
unsigned NumLabels,
StringLiteral **Clobbers,
unsigned NumClobbers);
public:
//===--- Other ---===//
/// getNamedOperand - Given a symbolic operand reference like %[foo],
/// translate this into a numeric value needed to reference the same operand.
/// This returns -1 if the operand name is invalid.
int getNamedOperand(StringRef SymbolicName) const;
StringRef getClobber(unsigned i) const;
StringLiteral *getClobberStringLiteral(unsigned i) { return Clobbers[i]; }
const StringLiteral *getClobberStringLiteral(unsigned i) const {
return Clobbers[i];
}
SourceLocation getBeginLoc() const LLVM_READONLY { return AsmLoc; }
SourceLocation getEndLoc() const LLVM_READONLY { return RParenLoc; }
static bool classof(const Stmt *T) {
return T->getStmtClass() == GCCAsmStmtClass;
}
};
/// This represents a Microsoft inline-assembly statement extension.
class MSAsmStmt : public AsmStmt {
friend class ASTStmtReader;
SourceLocation LBraceLoc, EndLoc;
StringRef AsmStr;
unsigned NumAsmToks = 0;
Token *AsmToks = nullptr;
StringRef *Constraints = nullptr;
StringRef *Clobbers = nullptr;
public:
MSAsmStmt(const ASTContext &C, SourceLocation asmloc,
SourceLocation lbraceloc, bool issimple, bool isvolatile,
ArrayRef<Token> asmtoks, unsigned numoutputs, unsigned numinputs,
ArrayRef<StringRef> constraints,
ArrayRef<Expr*> exprs, StringRef asmstr,
ArrayRef<StringRef> clobbers, SourceLocation endloc);
/// Build an empty MS-style inline-assembly statement.
explicit MSAsmStmt(EmptyShell Empty) : AsmStmt(MSAsmStmtClass, Empty) {}
SourceLocation getLBraceLoc() const { return LBraceLoc; }
void setLBraceLoc(SourceLocation L) { LBraceLoc = L; }
SourceLocation getEndLoc() const { return EndLoc; }
void setEndLoc(SourceLocation L) { EndLoc = L; }
bool hasBraces() const { return LBraceLoc.isValid(); }
unsigned getNumAsmToks() { return NumAsmToks; }
Token *getAsmToks() { return AsmToks; }
//===--- Asm String Analysis ---===//
StringRef getAsmString() const { return AsmStr; }
/// Assemble final IR asm string.
std::string generateAsmString(const ASTContext &C) const;
//===--- Output operands ---===//
StringRef getOutputConstraint(unsigned i) const {
assert(i < NumOutputs);
return Constraints[i];
}
Expr *getOutputExpr(unsigned i);
const Expr *getOutputExpr(unsigned i) const {
return const_cast<MSAsmStmt*>(this)->getOutputExpr(i);
}
//===--- Input operands ---===//
StringRef getInputConstraint(unsigned i) const {
assert(i < NumInputs);
return Constraints[i + NumOutputs];
}
Expr *getInputExpr(unsigned i);
void setInputExpr(unsigned i, Expr *E);
const Expr *getInputExpr(unsigned i) const {
return const_cast<MSAsmStmt*>(this)->getInputExpr(i);
}
//===--- Other ---===//
ArrayRef<StringRef> getAllConstraints() const {
return llvm::makeArrayRef(Constraints, NumInputs + NumOutputs);
}
ArrayRef<StringRef> getClobbers() const {
return llvm::makeArrayRef(Clobbers, NumClobbers);
}
ArrayRef<Expr*> getAllExprs() const {
return llvm::makeArrayRef(reinterpret_cast<Expr**>(Exprs),
NumInputs + NumOutputs);
}
StringRef getClobber(unsigned i) const { return getClobbers()[i]; }
private:
void initialize(const ASTContext &C, StringRef AsmString,
ArrayRef<Token> AsmToks, ArrayRef<StringRef> Constraints,
ArrayRef<Expr*> Exprs, ArrayRef<StringRef> Clobbers);
public:
SourceLocation getBeginLoc() const LLVM_READONLY { return AsmLoc; }
static bool classof(const Stmt *T) {
return T->getStmtClass() == MSAsmStmtClass;
}
child_range children() {
return child_range(&Exprs[0], &Exprs[NumInputs + NumOutputs]);
}
const_child_range children() const {
return const_child_range(&Exprs[0], &Exprs[NumInputs + NumOutputs]);
}
};
class SEHExceptStmt : public Stmt {
friend class ASTReader;
friend class ASTStmtReader;
SourceLocation Loc;
Stmt *Children[2];
enum { FILTER_EXPR, BLOCK };
SEHExceptStmt(SourceLocation Loc, Expr *FilterExpr, Stmt *Block);
explicit SEHExceptStmt(EmptyShell E) : Stmt(SEHExceptStmtClass, E) {}
public:
static SEHExceptStmt* Create(const ASTContext &C,
SourceLocation ExceptLoc,
Expr *FilterExpr,
Stmt *Block);
SourceLocation getBeginLoc() const LLVM_READONLY { return getExceptLoc(); }
SourceLocation getExceptLoc() const { return Loc; }
SourceLocation getEndLoc() const { return getBlock()->getEndLoc(); }
Expr *getFilterExpr() const {
return reinterpret_cast<Expr*>(Children[FILTER_EXPR]);
}
CompoundStmt *getBlock() const {
return cast<CompoundStmt>(Children[BLOCK]);
}
child_range children() {
return child_range(Children, Children+2);
}
const_child_range children() const {
return const_child_range(Children, Children + 2);
}
static bool classof(const Stmt *T) {
return T->getStmtClass() == SEHExceptStmtClass;
}
};
class SEHFinallyStmt : public Stmt {
friend class ASTReader;
friend class ASTStmtReader;
SourceLocation Loc;
Stmt *Block;
SEHFinallyStmt(SourceLocation Loc, Stmt *Block);
explicit SEHFinallyStmt(EmptyShell E) : Stmt(SEHFinallyStmtClass, E) {}
public:
static SEHFinallyStmt* Create(const ASTContext &C,
SourceLocation FinallyLoc,
Stmt *Block);
SourceLocation getBeginLoc() const LLVM_READONLY { return getFinallyLoc(); }
SourceLocation getFinallyLoc() const { return Loc; }
SourceLocation getEndLoc() const { return Block->getEndLoc(); }
CompoundStmt *getBlock() const { return cast<CompoundStmt>(Block); }
child_range children() {
return child_range(&Block,&Block+1);
}
const_child_range children() const {
return const_child_range(&Block, &Block + 1);
}
static bool classof(const Stmt *T) {
return T->getStmtClass() == SEHFinallyStmtClass;
}
};
class SEHTryStmt : public Stmt {
friend class ASTReader;
friend class ASTStmtReader;
bool IsCXXTry;
SourceLocation TryLoc;
Stmt *Children[2];
enum { TRY = 0, HANDLER = 1 };
SEHTryStmt(bool isCXXTry, // true if 'try' otherwise '__try'
SourceLocation TryLoc,
Stmt *TryBlock,
Stmt *Handler);
explicit SEHTryStmt(EmptyShell E) : Stmt(SEHTryStmtClass, E) {}
public:
static SEHTryStmt* Create(const ASTContext &C, bool isCXXTry,
SourceLocation TryLoc, Stmt *TryBlock,
Stmt *Handler);
SourceLocation getBeginLoc() const LLVM_READONLY { return getTryLoc(); }
SourceLocation getTryLoc() const { return TryLoc; }
SourceLocation getEndLoc() const { return Children[HANDLER]->getEndLoc(); }
bool getIsCXXTry() const { return IsCXXTry; }
CompoundStmt* getTryBlock() const {
return cast<CompoundStmt>(Children[TRY]);
}
Stmt *getHandler() const { return Children[HANDLER]; }
/// Returns 0 if not defined
SEHExceptStmt *getExceptHandler() const;
SEHFinallyStmt *getFinallyHandler() const;
child_range children() {
return child_range(Children, Children+2);
}
const_child_range children() const {
return const_child_range(Children, Children + 2);
}
static bool classof(const Stmt *T) {
return T->getStmtClass() == SEHTryStmtClass;
}
};
/// Represents a __leave statement.
class SEHLeaveStmt : public Stmt {
SourceLocation LeaveLoc;
public:
explicit SEHLeaveStmt(SourceLocation LL)
: Stmt(SEHLeaveStmtClass), LeaveLoc(LL) {}
/// Build an empty __leave statement.
explicit SEHLeaveStmt(EmptyShell Empty) : Stmt(SEHLeaveStmtClass, Empty) {}
SourceLocation getLeaveLoc() const { return LeaveLoc; }
void setLeaveLoc(SourceLocation L) { LeaveLoc = L; }
SourceLocation getBeginLoc() const LLVM_READONLY { return LeaveLoc; }
SourceLocation getEndLoc() const LLVM_READONLY { return LeaveLoc; }
static bool classof(const Stmt *T) {
return T->getStmtClass() == SEHLeaveStmtClass;
}
// Iterators
child_range children() {
return child_range(child_iterator(), child_iterator());
}
const_child_range children() const {
return const_child_range(const_child_iterator(), const_child_iterator());
}
};
/// This captures a statement into a function. For example, the following
/// pragma annotated compound statement can be represented as a CapturedStmt,
/// and this compound statement is the body of an anonymous outlined function.
/// @code
/// #pragma omp parallel
/// {
/// compute();
/// }
/// @endcode
class CapturedStmt : public Stmt {
public:
/// The different capture forms: by 'this', by reference, capture for
/// variable-length array type etc.
enum VariableCaptureKind {
VCK_This,
VCK_ByRef,
VCK_ByCopy,
VCK_VLAType,
};
/// Describes the capture of either a variable, or 'this', or
/// variable-length array type.
class Capture {
llvm::PointerIntPair<VarDecl *, 2, VariableCaptureKind> VarAndKind;
SourceLocation Loc;
public:
friend class ASTStmtReader;
/// Create a new capture.
///
/// \param Loc The source location associated with this capture.
///
/// \param Kind The kind of capture (this, ByRef, ...).
///
/// \param Var The variable being captured, or null if capturing this.
Capture(SourceLocation Loc, VariableCaptureKind Kind,
VarDecl *Var = nullptr);
/// Determine the kind of capture.
VariableCaptureKind getCaptureKind() const;
/// Retrieve the source location at which the variable or 'this' was
/// first used.
SourceLocation getLocation() const { return Loc; }
/// Determine whether this capture handles the C++ 'this' pointer.
bool capturesThis() const { return getCaptureKind() == VCK_This; }
/// Determine whether this capture handles a variable (by reference).
bool capturesVariable() const { return getCaptureKind() == VCK_ByRef; }
/// Determine whether this capture handles a variable by copy.
bool capturesVariableByCopy() const {
return getCaptureKind() == VCK_ByCopy;
}
/// Determine whether this capture handles a variable-length array
/// type.
bool capturesVariableArrayType() const {
return getCaptureKind() == VCK_VLAType;
}
/// Retrieve the declaration of the variable being captured.
///
/// This operation is only valid if this capture captures a variable.
VarDecl *getCapturedVar() const;
};
private:
/// The number of variable captured, including 'this'.
unsigned NumCaptures;
/// The pointer part is the implicit the outlined function and the
/// int part is the captured region kind, 'CR_Default' etc.
llvm::PointerIntPair<CapturedDecl *, 2, CapturedRegionKind> CapDeclAndKind;
/// The record for captured variables, a RecordDecl or CXXRecordDecl.
RecordDecl *TheRecordDecl = nullptr;
/// Construct a captured statement.
CapturedStmt(Stmt *S, CapturedRegionKind Kind, ArrayRef<Capture> Captures,
ArrayRef<Expr *> CaptureInits, CapturedDecl *CD, RecordDecl *RD);
/// Construct an empty captured statement.
CapturedStmt(EmptyShell Empty, unsigned NumCaptures);
Stmt **getStoredStmts() { return reinterpret_cast<Stmt **>(this + 1); }
Stmt *const *getStoredStmts() const {
return reinterpret_cast<Stmt *const *>(this + 1);
}
Capture *getStoredCaptures() const;
void setCapturedStmt(Stmt *S) { getStoredStmts()[NumCaptures] = S; }
public:
friend class ASTStmtReader;
static CapturedStmt *Create(const ASTContext &Context, Stmt *S,
CapturedRegionKind Kind,
ArrayRef<Capture> Captures,
ArrayRef<Expr *> CaptureInits,
CapturedDecl *CD, RecordDecl *RD);
static CapturedStmt *CreateDeserialized(const ASTContext &Context,
unsigned NumCaptures);
/// Retrieve the statement being captured.
Stmt *getCapturedStmt() { return getStoredStmts()[NumCaptures]; }
const Stmt *getCapturedStmt() const { return getStoredStmts()[NumCaptures]; }
/// Retrieve the outlined function declaration.
CapturedDecl *getCapturedDecl();
const CapturedDecl *getCapturedDecl() const;
/// Set the outlined function declaration.
void setCapturedDecl(CapturedDecl *D);
/// Retrieve the captured region kind.
CapturedRegionKind getCapturedRegionKind() const;
/// Set the captured region kind.
void setCapturedRegionKind(CapturedRegionKind Kind);
/// Retrieve the record declaration for captured variables.
const RecordDecl *getCapturedRecordDecl() const { return TheRecordDecl; }
/// Set the record declaration for captured variables.
void setCapturedRecordDecl(RecordDecl *D) {
assert(D && "null RecordDecl");
TheRecordDecl = D;
}
/// True if this variable has been captured.
bool capturesVariable(const VarDecl *Var) const;
/// An iterator that walks over the captures.
using capture_iterator = Capture *;
using const_capture_iterator = const Capture *;
using capture_range = llvm::iterator_range<capture_iterator>;
using capture_const_range = llvm::iterator_range<const_capture_iterator>;
capture_range captures() {
return capture_range(capture_begin(), capture_end());
}
capture_const_range captures() const {
return capture_const_range(capture_begin(), capture_end());
}
/// Retrieve an iterator pointing to the first capture.
capture_iterator capture_begin() { return getStoredCaptures(); }
const_capture_iterator capture_begin() const { return getStoredCaptures(); }
/// Retrieve an iterator pointing past the end of the sequence of
/// captures.
capture_iterator capture_end() const {
return getStoredCaptures() + NumCaptures;
}
/// Retrieve the number of captures, including 'this'.
unsigned capture_size() const { return NumCaptures; }
/// Iterator that walks over the capture initialization arguments.
using capture_init_iterator = Expr **;
using capture_init_range = llvm::iterator_range<capture_init_iterator>;
/// Const iterator that walks over the capture initialization
/// arguments.
using const_capture_init_iterator = Expr *const *;
using const_capture_init_range =
llvm::iterator_range<const_capture_init_iterator>;
capture_init_range capture_inits() {
return capture_init_range(capture_init_begin(), capture_init_end());
}
const_capture_init_range capture_inits() const {
return const_capture_init_range(capture_init_begin(), capture_init_end());
}
/// Retrieve the first initialization argument.
capture_init_iterator capture_init_begin() {
return reinterpret_cast<Expr **>(getStoredStmts());
}
const_capture_init_iterator capture_init_begin() const {
return reinterpret_cast<Expr *const *>(getStoredStmts());
}
/// Retrieve the iterator pointing one past the last initialization
/// argument.
capture_init_iterator capture_init_end() {
return capture_init_begin() + NumCaptures;
}
const_capture_init_iterator capture_init_end() const {
return capture_init_begin() + NumCaptures;
}
SourceLocation getBeginLoc() const LLVM_READONLY {
return getCapturedStmt()->getBeginLoc();
}
SourceLocation getEndLoc() const LLVM_READONLY {
return getCapturedStmt()->getEndLoc();
}
SourceRange getSourceRange() const LLVM_READONLY {
return getCapturedStmt()->getSourceRange();
}
static bool classof(const Stmt *T) {
return T->getStmtClass() == CapturedStmtClass;
}
child_range children();
const_child_range children() const;
};
} // namespace clang
#endif // LLVM_CLANG_AST_STMT_H
|
spmv_double.c | ////Example of sparse matrix-vector multiply, using CSR (compressed sparse row format).
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
// Add timing support
#include <sys/timeb.h>
double read_timer() {
struct timeb tm;
ftime(&tm);
return (double) tm.time + (double) tm.millitm / 1000.0;
}
//#define DEFAULT_DIMSIZE 256
void print_array(char *title, char *name, double *A, int n, int m) {
printf("%s:\n", title);
int i, j;
for (i = 0; i < n; i++) {
for (j = 0; j < m; j++) {
printf("%s[%d][%d]:%f ", name, i, j, A[i * m + j]);
}
printf("\n");
}
printf("\n");
}
/* subroutine error_check (n,m,alpha,dx,dy,u,f)
implicit none
************************************************************
* Checks error between numerical and exact solution
*
************************************************************/
int main(int argc, char *argv[]) {
int *ia, *ja;
double *a, *x, *y;
int row, i, j, idx, n, nnzMax, nnz, nrows;
double ts, t, rate;
n = 10240;
//n = 24;
if (argc > 1) n = atoi(argv[1]);
nrows = n * n;
nnzMax = nrows * 5;
ia = (int*)malloc(nrows*sizeof(int));
ja = (int*)malloc(nnzMax*sizeof(int));
a = (double*)malloc(nnzMax*sizeof(double));
/* Allocate the source and result vectors */
x = (double*)malloc(nrows*sizeof(double));
y = (double*)malloc(nrows*sizeof(double));
row = 0;
nnz = 0;
for (i=0; i<n; i++) {
for (j=0; j<n; j++) {
ia[row] = nnz;
if (i>0) { ja[nnz] = row - n; a[nnz] = -1.0; nnz++; }
if (j>0) { ja[nnz] = row - 1; a[nnz] = -1.0; nnz++; }
ja[nnz] = row; a[nnz] = 4.0; nnz++;
if (j<n-1) { ja[nnz] = row + 1; a[nnz] = -1.0; nnz++; }
if (i<n-1) { ja[nnz] = row + n; a[nnz] = -1.0; nnz++; }
row++;
}
}
ia[row] = nnz;
/* Create the source (x) vector */
for (i=0; i<nrows; i++) x[i] = 1.0;
double elapsed = read_timer();
int flops = 0;
for (row=0; row<nrows; row++) {
double sum = 0.0;
#pragma omp simd reduction(+:sum,flops)
for (idx=ia[row]; idx<ia[row+1]; idx++) {
sum += a[idx] * x[ja[idx]];
flops += 2;
}
y[row] = sum;
}
elapsed = read_timer() - elapsed;
double gflops = flops / (1.0e9 * elapsed);
printf("seq elasped time(s): %.4f\n", elapsed);
printf("GFlops: %.4f\n", gflops);
for (row=0; row<nrows; row++) {
if (y[row] < 0) {
fprintf(stderr,"y[%d]=%f, fails consistency test\n", row, y[row]);
}
}
free(ia); free(ja); free(a); free(x); free(y);
return 0;
}
|
GB_unop__identity_uint16_fc64.c | //------------------------------------------------------------------------------
// GB_unop: hard-coded functions for each built-in unary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2020, All Rights Reserved.
// http://suitesparse.com See GraphBLAS/Doc/License.txt for license.
//------------------------------------------------------------------------------
// If this file is in the Generated/ folder, do not edit it (auto-generated).
#include "GB.h"
#ifndef GBCOMPACT
#include "GB_control.h"
#include "GB_unop__include.h"
// C=unop(A) is defined by the following types and operators:
// op(A) function: GB_unop_apply__identity_uint16_fc64
// op(A') function: GB_unop_tran__identity_uint16_fc64
// C type: uint16_t
// A type: GxB_FC64_t
// cast: uint16_t cij = GB_cast_to_uint16_t (creal (aij))
// unaryop: cij = aij
#define GB_ATYPE \
GxB_FC64_t
#define GB_CTYPE \
uint16_t
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA) \
GxB_FC64_t aij = Ax [pA]
#define GB_CX(p) Cx [p]
// unary operator
#define GB_OP(z, x) \
z = x ;
// casting
#define GB_CAST(z, aij) \
uint16_t z = GB_cast_to_uint16_t (creal (aij)) ;
// cij = op (aij)
#define GB_CAST_OP(pC,pA) \
{ \
/* aij = Ax [pA] */ \
GxB_FC64_t aij = Ax [pA] ; \
/* Cx [pC] = op (cast (aij)) */ \
uint16_t z = GB_cast_to_uint16_t (creal (aij)) ; \
Cx [pC] = z ; \
}
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_IDENTITY || GxB_NO_UINT16 || GxB_NO_FC64)
//------------------------------------------------------------------------------
// Cx = op (cast (Ax)): apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB_unop_apply__identity_uint16_fc64
(
uint16_t *Cx, // Cx and Ax may be aliased
const GxB_FC64_t *Ax,
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t p ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
GxB_FC64_t aij = Ax [p] ;
uint16_t z = GB_cast_to_uint16_t (creal (aij)) ;
Cx [p] = z ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (cast (A')): transpose, typecast, and apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB_unop_tran__identity_uint16_fc64
(
GrB_Matrix C,
const GrB_Matrix A,
int64_t *GB_RESTRICT *Rowcounts,
GBI_single_iterator Iter,
const int64_t *GB_RESTRICT A_slice,
int naslice
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#define GB_PHASE_2_OF_2
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
GB_binop__second_uint16.c | //------------------------------------------------------------------------------
// GB_binop: hard-coded functions for each built-in binary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2021, All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
//------------------------------------------------------------------------------
// If this file is in the Generated/ folder, do not edit it (auto-generated).
#include "GB.h"
#ifndef GBCOMPACT
#include "GB_emult.h"
#include "GB_control.h"
#include "GB_ek_slice.h"
#include "GB_dense.h"
#include "GB_atomics.h"
#include "GB_bitmap_assign_methods.h"
#include "GB_binop__include.h"
// C=binop(A,B) is defined by the following types and operators:
// A+B function (eWiseAdd): GB (_AaddB__second_uint16)
// A.*B function (eWiseMult): GB (_AemultB)
// A.*B function (eWiseMult): GB (_AemultB_02__second_uint16)
// A.*B function (eWiseMult): GB (_AemultB_03__second_uint16)
// A.*B function (eWiseMult): GB (_AemultB_bitmap__second_uint16)
// A*D function (colscale): GB (_AxD__second_uint16)
// D*A function (rowscale): GB (_DxB__second_uint16)
// C+=B function (dense accum): GB (_Cdense_accumB__second_uint16)
// C+=b function (dense accum): GB (_Cdense_accumb__second_uint16)
// C+=A+B function (dense ewise3): GB ((none))
// C=A+B function (dense ewise3): GB (_Cdense_ewise3_noaccum__second_uint16)
// C=scalar+B GB ((none))
// C=scalar+B' GB ((none))
// C=A+scalar GB (_bind2nd__second_uint16)
// C=A'+scalar GB (_bind2nd_tran__second_uint16)
// C type: uint16_t
// A type: uint16_t
// B,b type: uint16_t
// BinaryOp: cij = bij
#define GB_ATYPE \
uint16_t
#define GB_BTYPE \
uint16_t
#define GB_CTYPE \
uint16_t
// true if the types of A and B are identical
#define GB_ATYPE_IS_BTYPE \
1
// true if the types of C and A are identical
#define GB_CTYPE_IS_ATYPE \
1
// true if the types of C and B are identical
#define GB_CTYPE_IS_BTYPE \
1
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA) \
;
// bij = Bx [pB]
#define GB_GETB(bij,Bx,pB) \
uint16_t bij = Bx [pB]
// declare scalar of the same type as C
#define GB_CTYPE_SCALAR(t) \
uint16_t t
// cij = Ax [pA]
#define GB_COPY_A_TO_C(cij,Ax,pA) \
cij = Ax [pA]
// cij = Bx [pB]
#define GB_COPY_B_TO_C(cij,Bx,pB) \
cij = Bx [pB]
#define GB_CX(p) Cx [p]
// binary operator
#define GB_BINOP(z, x, y, i, j) \
z = y ;
// true if the binop must be flipped
#define GB_BINOP_FLIP \
0
// op is second
#define GB_OP_IS_SECOND \
1
// do the numerical phases of GB_add and GB_emult
#define GB_PHASE_2_OF_2
// hard-coded loops can be vectorized
#define GB_PRAGMA_SIMD_VECTORIZE GB_PRAGMA_SIMD
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_SECOND || GxB_NO_UINT16 || GxB_NO_SECOND_UINT16)
//------------------------------------------------------------------------------
// C += A+B, all 3 matrices dense
//------------------------------------------------------------------------------
#if 0
// The op must be MIN, MAX, PLUS, MINUS, RMINUS, TIMES, DIV, or RDIV.
void GB ((none))
(
GrB_Matrix C,
const GrB_Matrix A,
const GrB_Matrix B,
const int nthreads
)
{
#include "GB_dense_ewise3_accum_template.c"
}
#endif
//------------------------------------------------------------------------------
// C = A+B, all 3 matrices dense
//------------------------------------------------------------------------------
GrB_Info GB (_Cdense_ewise3_noaccum__second_uint16)
(
GrB_Matrix C,
const GrB_Matrix A,
const GrB_Matrix B,
const int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_dense_ewise3_noaccum_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C += B, accumulate a sparse matrix into a dense matrix
//------------------------------------------------------------------------------
GrB_Info GB (_Cdense_accumB__second_uint16)
(
GrB_Matrix C,
const GrB_Matrix B,
const int64_t *B_ek_slicing, const int B_ntasks, const int B_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
{
#include "GB_dense_subassign_23_template.c"
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C += b, accumulate a scalar into a dense matrix
//------------------------------------------------------------------------------
GrB_Info GB (_Cdense_accumb__second_uint16)
(
GrB_Matrix C,
const GB_void *p_bwork,
const int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
{
// get the scalar b for C += b, of type uint16_t
uint16_t bwork = (*((uint16_t *) p_bwork)) ;
#include "GB_dense_subassign_22_template.c"
return (GrB_SUCCESS) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = A*D, column scale with diagonal D matrix
//------------------------------------------------------------------------------
GrB_Info GB (_AxD__second_uint16)
(
GrB_Matrix C,
const GrB_Matrix A, bool A_is_pattern,
const GrB_Matrix D, bool D_is_pattern,
const int64_t *A_ek_slicing, const int A_ntasks, const int A_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
uint16_t *restrict Cx = (uint16_t *) C->x ;
#include "GB_AxB_colscale_meta.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = D*B, row scale with diagonal D matrix
//------------------------------------------------------------------------------
GrB_Info GB (_DxB__second_uint16)
(
GrB_Matrix C,
const GrB_Matrix D, bool D_is_pattern,
const GrB_Matrix B, bool B_is_pattern,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
uint16_t *restrict Cx = (uint16_t *) C->x ;
#include "GB_AxB_rowscale_meta.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseAdd: C = A+B or C<M> = A+B
//------------------------------------------------------------------------------
GrB_Info GB (_AaddB__second_uint16)
(
GrB_Matrix C,
const int C_sparsity,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const bool Ch_is_Mh,
const int64_t *restrict C_to_M,
const int64_t *restrict C_to_A,
const int64_t *restrict C_to_B,
const GB_task_struct *restrict TaskList,
const int C_ntasks,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
GB_WERK_DECLARE (M_ek_slicing, int64_t) ;
GB_WERK_DECLARE (A_ek_slicing, int64_t) ;
GB_WERK_DECLARE (B_ek_slicing, int64_t) ;
#include "GB_add_template.c"
GB_FREE_WORK ;
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C = A.*B or C<M> = A.*B
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_01__second_uint16)
(
GrB_Matrix C,
const int C_sparsity,
const int ewise_method,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *restrict C_to_M,
const int64_t *restrict C_to_A,
const int64_t *restrict C_to_B,
const GB_task_struct *restrict TaskList,
const int C_ntasks,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_emult_01_meta.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C<#> = A.*B when A is sparse/hyper and B is bitmap/full
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_02__second_uint16)
(
GrB_Matrix C,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const bool flipxy,
const int64_t *restrict Cp_kfirst,
const int64_t *A_ek_slicing, const int A_ntasks, const int A_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#if GB_BINOP_FLIP
// The operator is not commutative, and does not have a flipped
// variant. For example z=atan2(y,x).
if (flipxy)
{
// use fmult(y,x)
#undef GB_FLIPPED
#define GB_FLIPPED 1
#include "GB_emult_02_template.c"
}
else
{
// use fmult(x,y)
#undef GB_FLIPPED
#define GB_FLIPPED 0
#include "GB_emult_02_template.c"
}
#else
// No need to handle the flip: the operator is either commutative, or
// has been handled by changing z=div(y,x) to z=rdiv(x,y) for example.
#undef GB_FLIPPED
#define GB_FLIPPED 0
#include "GB_emult_02_template.c"
#endif
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C<M> = A.*B, M sparse/hyper, A and B bitmap/full
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_03__second_uint16)
(
GrB_Matrix C,
const GrB_Matrix M,
const bool Mask_struct,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *restrict Cp_kfirst,
const int64_t *M_ek_slicing, const int M_ntasks, const int M_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_emult_03_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C=A.*B, C<M>=A.*B, C<!M>=A.*B where C is bitmap
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_bitmap__second_uint16)
(
GrB_Matrix C,
const int ewise_method,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *M_ek_slicing, const int M_ntasks, const int M_nthreads,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_bitmap_emult_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// Cx = op (x,Bx): apply a binary operator to a matrix with scalar bind1st
//------------------------------------------------------------------------------
#if 0
GrB_Info GB ((none))
(
GB_void *Cx_output, // Cx and Bx may be aliased
const GB_void *x_input,
const GB_void *Bx_input,
const int8_t *restrict Bb,
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
uint16_t *Cx = (uint16_t *) Cx_output ;
uint16_t x = (*((uint16_t *) x_input)) ;
uint16_t *Bx = (uint16_t *) Bx_input ;
int64_t p ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
if (!GBB (Bb, p)) continue ;
uint16_t bij = Bx [p] ;
Cx [p] = bij ;
}
return (GrB_SUCCESS) ;
#endif
}
#endif
//------------------------------------------------------------------------------
// Cx = op (Ax,y): apply a binary operator to a matrix with scalar bind2nd
//------------------------------------------------------------------------------
GrB_Info GB (_bind2nd__second_uint16)
(
GB_void *Cx_output, // Cx and Ax may be aliased
const GB_void *Ax_input,
const GB_void *y_input,
const int8_t *restrict Ab,
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t p ;
uint16_t *Cx = (uint16_t *) Cx_output ;
uint16_t *Ax = (uint16_t *) Ax_input ;
uint16_t y = (*((uint16_t *) y_input)) ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
if (!GBB (Ab, p)) continue ;
; ;
Cx [p] = y ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (x, A'): transpose and apply a binary operator
//------------------------------------------------------------------------------
#if 0
// cij = op (x, aij), no typecasting (in spite of the macro name)
#undef GB_CAST_OP
#define GB_CAST_OP(pC,pA) \
{ \
uint16_t aij = Ax [pA] ; \
Cx [pC] = aij ; \
}
GrB_Info GB ((none))
(
GrB_Matrix C,
const GB_void *x_input,
const GrB_Matrix A,
int64_t *restrict *Workspaces,
const int64_t *restrict A_slice,
int nworkspaces,
int nthreads
)
{
// GB_unop_transpose.c uses GB_ATYPE, but A is
// the 2nd input to binary operator z=f(x,y).
#undef GB_ATYPE
#define GB_ATYPE \
uint16_t
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
uint16_t x = (*((const uint16_t *) x_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
#undef GB_ATYPE
#define GB_ATYPE \
uint16_t
}
#endif
//------------------------------------------------------------------------------
// C = op (A', y): transpose and apply a binary operator
//------------------------------------------------------------------------------
// cij = op (aij, y), no typecasting (in spite of the macro name)
#undef GB_CAST_OP
#define GB_CAST_OP(pC,pA) \
{ \
; ; \
Cx [pC] = y ; \
}
GrB_Info GB (_bind2nd_tran__second_uint16)
(
GrB_Matrix C,
const GrB_Matrix A,
const GB_void *y_input,
int64_t *restrict *Workspaces,
const int64_t *restrict A_slice,
int nworkspaces,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
uint16_t y = (*((const uint16_t *) y_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
relaxation.c | // relaxation.c - implementation of relaxation methods
#include <cphis.h>
#include <linalg.h>
#include <scale_solver.h>
#include <aux.h>
#include <stdlib.h>
CphisError CphisScaleSolverDestroy_Jacobi(CphisScaleSolver solver)
{
struct _CphisScaleSolverData_Jacobi *data = solver->data;
if (data) {
free(data->invD);
CphisVecDestroy(data->r);
free(data);
}
return CPHIS_SUCCESS;
}
CphisError CphisScaleSolverDestroy_BlockJacobi(CphisScaleSolver solver)
{
struct _CphisScaleSolverData_BlockJacobi *data = solver->data;
if (data) {
free(data->blocks);
CphisVecDestroy(data->r);
CphisVecDestroy(data->z);
free(data);
}
return CPHIS_SUCCESS;
}
CphisError CphisScaleSolverSetup_Jacobi(CphisScaleSolver solver)
{
if (solver->A->numLocalDOFRange != solver->A->numLocalDOFDomain) {
CPHISCHECK(CPHIS_INCOMPATIBLE);
}
solver->data = malloc(sizeof(struct _CphisScaleSolverData_Jacobi));
if (!solver->data) {
CPHISCHECK(CPHIS_FAILED_ALLOC);
}
struct _CphisScaleSolverData_Jacobi *data = solver->data;
const CphisIndex numRows = solver->A->numElements*solver->A->numLocalDOFRange;
data->invD = malloc(numRows*sizeof(CphisScalar));
if (!data->invD) {
free(solver->data);
CPHISCHECK(CPHIS_FAILED_ALLOC);
}
CphisError err;
err = CphisVecCreate(
&data->r,
solver->A->numElements,
solver->A->elements,
solver->A->numLocalDOFRange,
solver->A->type,
NULL
);
if (err) {
free(data->invD);
free(solver->data);;
CPHISCHECK(err);
}
// Extract diagonal.
const CphisIndex *cols;
const CphisScalar *vals;
CphisIndex numEntries;
for (CphisIndex i = 0; i < numRows; i++) {
err = CphisMatGetData(solver->A, i, &cols, &vals, &numEntries);
if (err) {
free(data->invD);
CphisVecDestroy(data->r);
free(solver->data);
CPHISCHECK(err);
}
// Find diagonal entry.
const CphisIndex iGlobal = CphisIndexLocalToGlobal(
i,
solver->A->elements,
solver->A->numLocalDOFRange
);
for (CphisIndex j = 0; j < numEntries; j++) {
if (iGlobal == cols[j]) {
data->invD[i] = 1.0/vals[j];
break;
}
}
}
return CPHIS_SUCCESS;
}
CphisError CphisScaleSolverSetup_BlockJacobi(CphisScaleSolver solver)
{
if (solver->A->numLocalDOFRange != solver->A->numLocalDOFDomain) {
CPHISCHECK(CPHIS_INCOMPATIBLE);
}
solver->data = malloc(sizeof(struct _CphisScaleSolverData_BlockJacobi));
if (!solver->data) {
CPHISCHECK(CPHIS_FAILED_ALLOC);
}
struct _CphisScaleSolverData_BlockJacobi *data = solver->data;
const int numLocalDOF = solver->A->numLocalDOFRange;
const int blockSize = numLocalDOF*numLocalDOF;
const CphisIndex numRows = solver->A->numElements*numLocalDOF;
// Allocate memory for LU factorizations of diagonal blocks.
// This must be initialized with zero!
data->blocks = calloc(solver->A->numElements*blockSize, sizeof(CphisScalar));
if (!data->blocks) {
free(solver->data);
CPHISCHECK(CPHIS_FAILED_ALLOC);
}
// Extract block diagonal.
CphisError err;
const CphisIndex *cols;
const CphisScalar *vals;
CphisIndex numEntries;
for (CphisIndex i = 0; i < numRows; i++) {
err = CphisMatGetData(solver->A, i, &cols, &vals, &numEntries);
if (err) {
free(data->blocks);
free(solver->data);
CPHISCHECK(err);
}
const CphisIndex iGlobal = CphisIndexLocalToGlobal(
i,
solver->A->elements,
solver->A->numLocalDOFRange
);
const CphisIndex blockIndex = i/numLocalDOF;
// Find block diagonal entries.
for (CphisIndex j = 0; j < numEntries; j++) {
if (iGlobal/numLocalDOF == cols[j]/numLocalDOF) {
// Compute row and column index within block.
const CphisIndex iBlock = iGlobal%numLocalDOF;
const CphisIndex jBlock = cols[j]%numLocalDOF;
// Write entry to (dense) block matrix.
data->blocks[blockIndex*blockSize + iBlock*numLocalDOF + jBlock]
= vals[j];
}
}
}
// Compute LU factorizations.
for (CphisIndex i = 0; i < solver->A->numElements; i++) {
CphisLUFactorize(numLocalDOF, &data->blocks[i*numLocalDOF*numLocalDOF]);
}
err = CphisVecCreate(
&data->r,
solver->A->numElements,
solver->A->elements,
solver->A->numLocalDOFRange,
solver->A->type,
NULL
);
if (err) {
free(data->blocks);
free(solver->data);;
CPHISCHECK(err);
}
err = CphisVecCreate(
&data->z,
solver->A->numElements,
solver->A->elements,
solver->A->numLocalDOFRange,
solver->A->type,
NULL
);
if (err) {
CphisVecDestroy(data->r);
free(data->blocks);
free(solver->data);;
CPHISCHECK(err);
}
return CPHIS_SUCCESS;
}
CphisError CphisScaleSolverSolve_Jacobi(
CphisScaleSolver solver,
const CphisVec b,
CphisVec x,
CphisConvergenceFlag *flag,
CphisReal *residual,
int *iter
)
{
CphisError err;
CphisScalar rNorm, r0Norm;
int k;
const CphisIndex numRows = x->numElements*x->numLocalDOF;
struct _CphisScaleSolverData_Jacobi *data = solver->data;
CphisScalar *xData, *rData;
err = CphisVecGetData(x, &xData);CPHISCHECK(err);
err = CphisVecGetData(data->r, &rData);CPHISCHECK(err);
// Compute initial residual norm.
err = CphisMatVec(solver->A, x, data->r);CPHISCHECK(err);
err = CphisVecAXPBY(1.0, b, -1.0, data->r);CPHISCHECK(err);
err = CphisVecNorm2(data->r, &r0Norm);CPHISCHECK(err);
rNorm = r0Norm;
k = 0;
while (1) {
// Check residual norm.
if (rNorm/r0Norm < solver->tol) {
if (flag) *flag = CPHIS_CONVERGED;
break;
}
// Check for maximum number of iterations.
if (k >= solver->maxIter) {
if (flag) *flag = CPHIS_MAX_ITER;
break;
}
// Perform Jacobi iteration.
const CphisReal omega = solver->omega;
#pragma omp parallel for
for (CphisIndex i = 0; i < numRows; i++) {
xData[i] += omega*data->invD[i]*rData[i];
}
// Update residual and residual norm.
err = CphisMatVec(solver->A, x, data->r);CPHISCHECK(err);
err = CphisVecAXPBY(1.0, b, -1.0, data->r);CPHISCHECK(err);
err = CphisVecNorm2(data->r, &rNorm);CPHISCHECK(err);
k++;
}
if (residual) *residual = rNorm/r0Norm;
if (iter) *iter = k;
return CPHIS_SUCCESS;
}
CphisError CphisScaleSolverSolve_BlockJacobi(
CphisScaleSolver solver,
const CphisVec b,
CphisVec x,
CphisConvergenceFlag *flag,
CphisReal *residual,
int *iter
)
{
CphisError err;
CphisScalar rNorm, r0Norm;
int k;
const int numLocalDOF = x->numLocalDOF;
const int blockSize = numLocalDOF*numLocalDOF;
struct _CphisScaleSolverData_BlockJacobi *data = solver->data;
CphisScalar *xData, *rData, *zData;
err = CphisVecGetData(x, &xData);CPHISCHECK(err);
err = CphisVecGetData(data->r, &rData);CPHISCHECK(err);
err = CphisVecGetData(data->z, &zData);CPHISCHECK(err);
// Compute initial residual norm.
err = CphisMatVec(solver->A, x, data->r);CPHISCHECK(err);
err = CphisVecAXPBY(1.0, b, -1.0, data->r);CPHISCHECK(err);
err = CphisVecNorm2(data->r, &r0Norm);CPHISCHECK(err);
rNorm = r0Norm;
k = 0;
while (1) {
// Check residual norm.
if (rNorm/r0Norm < solver->tol) {
if (flag) *flag = CPHIS_CONVERGED;
break;
}
// Check for maximum number of iterations.
if (k >= solver->maxIter) {
if (flag) *flag = CPHIS_MAX_ITER;
break;
}
// Perform Jacobi iteration.
const CphisReal omega = solver->omega;
#pragma omp parallel for
for (CphisIndex i = 0; i < x->numElements; i++) {
CphisLUSolve(
numLocalDOF,
&data->blocks[i*blockSize],
&rData[i*numLocalDOF],
&zData[i*numLocalDOF]
);
for (int j = 0; j < numLocalDOF; j++) {
xData[i*numLocalDOF + j] += omega*zData[i*numLocalDOF + j];
}
}
// Update residual and residual norm.
err = CphisMatVec(solver->A, x, data->r);CPHISCHECK(err);
err = CphisVecAXPBY(1.0, b, -1.0, data->r);CPHISCHECK(err);
err = CphisVecNorm2(data->r, &rNorm);CPHISCHECK(err);
k++;
}
if (residual) *residual = rNorm/r0Norm;
if (iter) *iter = k;
return CPHIS_SUCCESS;
}
|
GrB_Type_wait.c | //------------------------------------------------------------------------------
// GrB_Type_wait: wait for a user-defined GrB_Type to complete
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2021, All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
//------------------------------------------------------------------------------
// In SuiteSparse:GraphBLAS, a user-defined GrB_Type has no pending operations
// to wait for. All this method does is verify that the type is properly
// initialized, and then it does an OpenMP flush.
#include "GB.h"
GrB_Info GrB_Type_wait // no work, just check if the GrB_Type is valid
(
#if (GxB_IMPLEMENTATION_MAJOR <= 5)
GrB_Type *type
#else
GrB_Type type,
GrB_WaitMode waitmode
#endif
)
{
//--------------------------------------------------------------------------
// check inputs
//--------------------------------------------------------------------------
#if (GxB_IMPLEMENTATION_MAJOR <= 5)
GB_WHERE1 ("GrB_Type_wait (&type)") ;
GB_RETURN_IF_NULL (type) ;
GB_RETURN_IF_NULL_OR_FAULTY (*type) ;
#else
GB_WHERE1 ("GrB_Type_wait (type, waitmode)") ;
GB_RETURN_IF_NULL_OR_FAULTY (type) ;
#endif
//--------------------------------------------------------------------------
// return result
//--------------------------------------------------------------------------
#pragma omp flush
return (GrB_SUCCESS) ;
}
|
DenseMatrix.h | /*
* DenseMatrix.h
*
* Created on: Nov 25, 2015
* Author: Michael Wegner (michael.wegner@student.kit.edu)
*/
#ifndef NETWORKIT_CPP_ALGEBRAIC_DENSEMATRIX_H_
#define NETWORKIT_CPP_ALGEBRAIC_DENSEMATRIX_H_
#include "../Globals.h"
#include "AlgebraicGlobals.h"
#include "Vector.h"
#include <cassert>
#include <vector>
namespace NetworKit {
/**
* @ingroup algebraic
* Represents a dense matrix. Use this matrix to run LU decompositions and LU solves.
* Note that most matrices are rather sparse s.t. CSRMatrix might be a better representation.
*/
class DenseMatrix {
private:
count nRows;
count nCols;
std::vector<double> entries;
double zero;
public:
/** Default constructor */
DenseMatrix();
/**
* Constructs the DenseMatrix with size @a dimension x @a dimension.
* @param dimension Defines how many rows and columns this matrix has.
* @param zero The zero element (default is 0.0).
*/
DenseMatrix(const count dimension, double zero = 0.0);
/**
* Constructs the DenseMatrix with size @a nRows x @a nCols.
* @param nRows Number of rows.
* @param nCols Number of columns.
* @param zero The zero element (default is 0.0).
*/
DenseMatrix(const count nRows, const count nCols, double zero = 0.0);
/**
* Constructs the @a dimension x @a dimension DenseMatrix from the elements at position @a positions with values @values.
* @param dimension Defines how many rows and columns this matrix has.
* @param triplets The nonzero elements.
* @param zero The zero element (default is 0.0).
*/
DenseMatrix(const count dimension, const std::vector<Triplet>& triplets, double zero = 0.0);
/**
* Constructs the @a nRows x @a nCols DenseMatrix from the elements at position @a positions with values @values.
* @param nRows Defines how many rows this matrix has.
* @param nCols Defines how many columns this matrix has.
* @param triplets The nonzero elements.
* @param zero The zero element (default is 0.0).
*/
DenseMatrix(const count nRows, const count nCols, const std::vector<Triplet>& triplets, double zero = 0.0);
/**
* Constructs an instance of DenseMatrix given the number of rows (@a nRows) and the number of columns (@a nCols) and its
* values (@a entries).
* @param nRows Number of rows.
* @param nCols Number of columns.
* @param entries Entries of the matrix.
* @param zero The zero element (default is 0.0).
* @note The size of the @a entries vector should be equal to @a nRows * @a nCols.
*/
DenseMatrix(const count nRows, const count nCols, const std::vector<double>& entries, double zero = 0.0);
/** Default destructor */
virtual ~DenseMatrix() = default;
/** Default copy constructor */
DenseMatrix (const DenseMatrix &other) = default;
/** Default move constructor */
DenseMatrix (DenseMatrix &&other) = default;
/** Default copy assignment operator */
DenseMatrix& operator=(DenseMatrix &&other) = default;
/** Default move assignment operator */
DenseMatrix& operator=(const DenseMatrix &other) = default;
/**
* @return Number of rows.
*/
inline count numberOfRows() const {
return nRows;
}
/**
* @return Number of columns.
*/
inline count numberOfColumns() const {
return nCols;
}
/**
* Returns the zero element of the matrix.
*/
inline double getZero() const {
return zero;
}
/**
* @param i The row index.
* @return Number of non-zeros in row @a i.
* @note This function is linear in the number of columns of the matrix.
*/
count nnzInRow(const index i) const;
/**
* @return Number of non-zeros in this matrix.
* @note This function takes nRows * nCols operations.
*/
count nnz() const;
/**
* @return Value at matrix position (i,j).
*/
double operator()(const index i, const index j) const;
/**
* Set the matrix at position (@a i, @a j) to @a value.
*/
void setValue(const index i, const index j, const double value);
/**
* @return Row @a i of this matrix as vector.
*/
Vector row(const index i) const;
/**
* @return Column @a j of this matrix as vector.
*/
Vector column(const index j) const;
/**
* @return The main diagonal of this matrix.
*/
Vector diagonal() const;
/**
* Adds this matrix to @a other and returns the result.
* @return The sum of this matrix and @a other.
*/
DenseMatrix operator+(const DenseMatrix &other) const;
/**
* Adds @a other to this matrix.
* @return Reference to this matrix.
*/
DenseMatrix& operator+=(const DenseMatrix &other);
/**
* Subtracts @a other from this matrix and returns the result.
* @return The difference of this matrix and @a other.
*
*/
DenseMatrix operator-(const DenseMatrix &other) const;
/**
* Subtracts @a other from this matrix.
* @return Reference to this matrix.
*/
DenseMatrix& operator-=(const DenseMatrix &other);
/**
* Multiplies this matrix with a scalar specified in @a scalar and returns the result.
* @return The result of multiplying this matrix with @a scalar.
*/
DenseMatrix operator*(const double &scalar) const;
/**
* Multiplies this matrix with a scalar specified in @a scalar.
* @return Reference to this matrix.
*/
DenseMatrix& operator*=(const double &scalar);
/**
* Multiplies this matrix with @a vector and returns the result.
* @return The result of multiplying this matrix with @a vector.
*/
Vector operator*(const Vector &vector) const;
/**
* Multiplies this matrix with @a other and returns the result in a new matrix.
* @return The result of multiplying this matrix with @a other.
*/
DenseMatrix operator*(const DenseMatrix &other) const;
/**
* Divides this matrix by a divisor specified in @a divisor and returns the result in a new matrix.
* @return The result of dividing this matrix by @a divisor.
*/
DenseMatrix operator/(const double &divisor) const;
/**
* Divides this matrix by a divisor specified in @a divisor.
* @return Reference to this matrix.
*/
DenseMatrix& operator/=(const double &divisor);
/**
* Transposes this matrix and returns it.
*/
DenseMatrix transpose() const;
/**
* Extracts a matrix with rows and columns specified by @a rowIndices and @a columnIndices from this matrix.
* The order of rows and columns is equal to the order in @a rowIndices and @a columnIndices. It is also
* possible to specify a row or column more than once to get duplicates.
* @param rowIndices
* @param columnIndices
*/
DenseMatrix extract(const std::vector<index>& rowIndices, const std::vector<index>& columnIndices) const;
/**
* Assign the contents of the matrix @a source to this matrix at rows and columns specified by @a rowIndices and
* @a columnIndices. That is, entry (i,j) of @a source is assigned to entry (rowIndices[i], columnIndices[j]) of
* this matrix. Note that the dimensions of @rowIndices and @a columnIndices must coincide with the number of rows
* and columns of @a source.
* @param rowIndices
* @param columnIndices
* @param source
*/
void assign(const std::vector<index>& rowIndices, const std::vector<index>& columnIndices, const DenseMatrix& source);
/**
* Applies the unary function @a unaryElementFunction to each value in the matrix. Note that it must hold that the
* function applied to the zero element of this matrix returns the zero element.
* @param unaryElementFunction
*/
template<typename F>
void apply(const F unaryElementFunction);
/**
* Decomposes the given @a matrix into lower L and upper U matrix (in-place).
* @param matrix The matrix to decompose into LU.
*/
static void LUDecomposition(DenseMatrix &matrix);
/**
* Computes the solution vector x to the system @a LU * x = @a b where @a LU is a matrix decomposed into L and U.
* @param LU Matrix decomposed into lower L and upper U matrix.
* @param b Right-hand side.
* @return Solution vector x to the linear equation system LU * x = b.
*/
static Vector LUSolve(const DenseMatrix &LU, const Vector &b);
/**
* Computes @a A @a binaryOp @a B on the elements of matrix @a A and matrix @a B.
* @param A
* @param B
* @param binaryOp Function handling (double, double) -> double
* @return @a A @a binaryOp @a B.
* @note @a A and @a B must have the same dimensions.
*/
template<typename L> static DenseMatrix binaryOperator(const DenseMatrix &A, const DenseMatrix &B, L binaryOp);
/**
* Iterate over all non-zero elements of row @a row in the matrix and call handler(index column, double value)
*/
template<typename L> void forElementsInRow(index row, L handle) const;
/**
* Iterate in parallel over all non-zero elements of row @a row in the matrix and call handler(index column, double value)
*/
template<typename L> void parallelForElementsInRow(index row, L handle) const;
/**
* Iterate over all non-zero elements of the matrix in row order and call handler (lambda closure).
*/
template<typename L> void forElementsInRowOrder(L handle) const;
/**
* Iterate in parallel over all rows and call handler (lambda closure) on non-zero elements of the matrix.
*/
template<typename L> void parallelForElementsInRowOrder(L handle) const;
/**
* Iterate over all non-zero elements of row @a row in the matrix and call handler(index column, double value).
* @note This is a DenseMatrix! Therefore this operation needs O(numberOfRows()) time regardless of the number of
* non-zeros actually present.
*/
template<typename L> void forNonZeroElementsInRow(index row, L handle) const;
/**
* Iterate in parallel over all non-zero elements of row @a row in the matrix and call handler(index column, double value)
* @note This is a DenseMatrix! Therefore this operation needs O(numberOfRows()) sequential time regardless of the number
* of non-zeros actually present.
*/
template<typename L> void parallelForNonZeroElementsInRow(index row, L handle) const;
/**
* Iterate over all non-zero elements of the matrix in row order and call handler (lambda closure).
* @note This is a DenseMatrix! Therefore this operation needs O(numberOfRows() * numberOfColumns()) time regardless of the
* number of non-zeros actually present.
*/
template<typename L> void forNonZeroElementsInRowOrder(L handle) const;
/**
* Iterate in parallel over all rows and call handler (lambda closure) on non-zero elements of the matrix.
* @note This is a DenseMatrix! Therefore this operation needs O(numberOfRows() * numberOfColumns()) sequential time regardless
* of the number of non-zeros actually present.
*/
template<typename L> void parallelForNonZeroElementsInRowOrder(L handle) const;
};
template<typename F>
void DenseMatrix::apply(const F unaryElementFunction) {
#pragma omp parallel for
for (omp_index k = 0; k < static_cast<omp_index>(entries.size()); ++k) {
entries[k] = unaryElementFunction(entries[k]);
}
}
template<typename L> inline DenseMatrix NetworKit::DenseMatrix::binaryOperator(const DenseMatrix &A, const DenseMatrix &B, L binaryOp) {
assert(A.nRows == B.nRows && A.nCols == B.nCols);
std::vector<double> resultEntries(A.numberOfRows() * A.numberOfColumns(), 0.0);
#pragma omp parallel for
for (omp_index i = 0; i < static_cast<omp_index>(A.numberOfRows()); ++i) {
index offset = i * A.numberOfColumns();
for (index j = offset; j < offset + A.numberOfColumns(); ++j) {
resultEntries[j] = binaryOp(A.entries[j], B.entries[j]);
}
}
return DenseMatrix(A.numberOfRows(), A.numberOfColumns(), resultEntries);
}
template<typename L>
inline void NetworKit::DenseMatrix::forElementsInRow(index i, L handle) const {
index offset = i * numberOfColumns();
for (index k = offset, j = 0; k < offset + numberOfColumns(); ++k, ++j) {
handle(j, entries[k]);
}
}
template<typename L>
inline void NetworKit::DenseMatrix::parallelForElementsInRow(index i, L handle) const {
index offset = i * numberOfColumns();
#pragma omp parallel for
for (omp_index j = 0; j < static_cast<omp_index>(numberOfColumns()); ++j) {
handle(j, entries[offset + j]);
}
}
template<typename L>
inline void NetworKit::DenseMatrix::forElementsInRowOrder(L handle) const {
for (index i = 0; i < nRows; ++i) {
index offset = i * numberOfColumns();
for (index k = offset, j = 0; k < offset + numberOfColumns(); ++k, ++j) {
handle(i, j, entries[k]);
}
}
}
template<typename L>
inline void NetworKit::DenseMatrix::parallelForElementsInRowOrder(L handle) const {
#pragma omp parallel for
for (omp_index i = 0; i < static_cast<omp_index>(nRows); ++i) {
index offset = i * numberOfColumns();
for (index k = offset, j = 0; k < offset + numberOfColumns(); ++k, ++j) {
handle(i, j, entries[k]);
}
}
}
template<typename L>
inline void DenseMatrix::forNonZeroElementsInRow(index row, L handle) const {
for (index j = 0, k = row * numberOfColumns(); j < numberOfColumns(); ++j, ++k) {
if (entries[k] != getZero()) {
handle(j, entries[k]);
}
}
}
template<typename L>
inline void DenseMatrix::parallelForNonZeroElementsInRow(index row, L handle) const {
#pragma omp parallel for
for (omp_index j = 0; j < static_cast<omp_index>(numberOfColumns()); ++j) {
index k = row * numberOfColumns() + j;
if (entries[k] != getZero()) {
handle(j, entries[k]);
}
}
}
template<typename L>
inline void DenseMatrix::forNonZeroElementsInRowOrder(L handle) const {
for (index i = 0; i < numberOfRows(); ++i) {
for (index j = 0, k = i * numberOfColumns(); j < numberOfColumns(); ++j, ++k) {
if (entries[k] != getZero()) {
handle(i,j,entries[k]);
}
}
}
}
template<typename L>
inline void DenseMatrix::parallelForNonZeroElementsInRowOrder(L handle) const {
#pragma omp parallel for
for (omp_index i = 0; i < static_cast<omp_index>(numberOfRows()); ++i) {
for (index j = 0, k = i * numberOfColumns(); j < numberOfColumns(); ++j, ++k) {
if (entries[k] != getZero()) {
handle(i,j,entries[k]);
}
}
}
}
} /* namespace NetworKit */
#endif /* NETWORKIT_CPP_ALGEBRAIC_DENSEMATRIX_H_ */
|
psd.c | /*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% PPPP SSSSS DDDD %
% P P SS D D %
% PPPP SSS D D %
% P SS D D %
% P SSSSS DDDD %
% %
% %
% Read/Write Adobe Photoshop Image Format %
% %
% Software Design %
% Cristy %
% Leonard Rosenthol %
% July 1992 %
% Dirk Lemstra %
% December 2013 %
% %
% %
% Copyright 1999-2019 ImageMagick Studio LLC, a non-profit organization %
% dedicated to making software imaging solutions freely available. %
% %
% You may not use this file except in compliance with the License. You may %
% obtain a copy of the License at %
% %
% https://imagemagick.org/script/license.php %
% %
% Unless required by applicable law or agreed to in writing, software %
% distributed under the License is distributed on an "AS IS" BASIS, %
% WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. %
% See the License for the specific language governing permissions and %
% limitations under the License. %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% Photoshop spec @ https://www.adobe.com/devnet-apps/photoshop/fileformatashtml
%
*/
/*
Include declarations.
*/
#include "magick/studio.h"
#include "magick/artifact.h"
#include "magick/attribute.h"
#include "magick/blob.h"
#include "magick/blob-private.h"
#include "magick/cache.h"
#include "magick/channel.h"
#include "magick/colormap.h"
#include "magick/colormap-private.h"
#include "magick/colorspace.h"
#include "magick/colorspace-private.h"
#include "magick/constitute.h"
#include "magick/enhance.h"
#include "magick/exception.h"
#include "magick/exception-private.h"
#include "magick/image.h"
#include "magick/image-private.h"
#include "magick/list.h"
#include "magick/log.h"
#include "magick/magick.h"
#include "magick/memory_.h"
#include "magick/module.h"
#include "magick/monitor-private.h"
#include "magick/option.h"
#include "magick/pixel.h"
#include "magick/pixel-accessor.h"
#include "magick/policy.h"
#include "magick/profile.h"
#include "magick/property.h"
#include "magick/registry.h"
#include "magick/quantum-private.h"
#include "magick/static.h"
#include "magick/string_.h"
#include "magick/string-private.h"
#include "magick/thread-private.h"
#ifdef MAGICKCORE_ZLIB_DELEGATE
#include <zlib.h>
#endif
#include "psd-private.h"
/*
Define declaractions.
*/
#define MaxPSDChannels 56
#define PSDQuantum(x) (((ssize_t) (x)+1) & -2)
/*
Enumerated declaractions.
*/
typedef enum
{
Raw = 0,
RLE = 1,
ZipWithoutPrediction = 2,
ZipWithPrediction = 3
} PSDCompressionType;
typedef enum
{
BitmapMode = 0,
GrayscaleMode = 1,
IndexedMode = 2,
RGBMode = 3,
CMYKMode = 4,
MultichannelMode = 7,
DuotoneMode = 8,
LabMode = 9
} PSDImageType;
/*
Typedef declaractions.
*/
typedef struct _ChannelInfo
{
short
type;
size_t
size;
} ChannelInfo;
typedef struct _MaskInfo
{
Image
*image;
RectangleInfo
page;
unsigned char
background,
flags;
} MaskInfo;
typedef struct _LayerInfo
{
ChannelInfo
channel_info[MaxPSDChannels];
char
blendkey[4];
Image
*image;
MaskInfo
mask;
Quantum
opacity;
RectangleInfo
page;
size_t
offset_x,
offset_y;
unsigned char
clipping,
flags,
name[257],
visible;
unsigned short
channels;
StringInfo
*info;
} LayerInfo;
/*
Forward declarations.
*/
static MagickBooleanType
WritePSDImage(const ImageInfo *,Image *);
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% I s P S D %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% IsPSD()() returns MagickTrue if the image format type, identified by the
% magick string, is PSD.
%
% The format of the IsPSD method is:
%
% MagickBooleanType IsPSD(const unsigned char *magick,const size_t length)
%
% A description of each parameter follows:
%
% o magick: compare image format pattern against these bytes.
%
% o length: Specifies the length of the magick string.
%
*/
static MagickBooleanType IsPSD(const unsigned char *magick,const size_t length)
{
if (length < 4)
return(MagickFalse);
if (LocaleNCompare((const char *) magick,"8BPS",4) == 0)
return(MagickTrue);
return(MagickFalse);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% R e a d P S D I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ReadPSDImage() reads an Adobe Photoshop image file and returns it. It
% allocates the memory necessary for the new Image structure and returns a
% pointer to the new image.
%
% The format of the ReadPSDImage method is:
%
% Image *ReadPSDImage(image_info,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image_info: the image info.
%
% o exception: return any errors or warnings in this structure.
%
*/
static const char *CompositeOperatorToPSDBlendMode(Image *image)
{
switch (image->compose)
{
case ColorBurnCompositeOp:
return(image->endian == LSBEndian ? "vidi" : "idiv");
case ColorDodgeCompositeOp:
return(image->endian == LSBEndian ? " vid" : "div ");
case ColorizeCompositeOp:
return(image->endian == LSBEndian ? "rloc" : "colr");
case DarkenCompositeOp:
return(image->endian == LSBEndian ? "krad" : "dark");
case DifferenceCompositeOp:
return(image->endian == LSBEndian ? "ffid" : "diff");
case DissolveCompositeOp:
return(image->endian == LSBEndian ? "ssid" : "diss");
case ExclusionCompositeOp:
return(image->endian == LSBEndian ? "dums" : "smud");
case HardLightCompositeOp:
return(image->endian == LSBEndian ? "tiLh" : "hLit");
case HardMixCompositeOp:
return(image->endian == LSBEndian ? "xiMh" : "hMix");
case HueCompositeOp:
return(image->endian == LSBEndian ? " euh" : "hue ");
case LightenCompositeOp:
return(image->endian == LSBEndian ? "etil" : "lite");
case LinearBurnCompositeOp:
return(image->endian == LSBEndian ? "nrbl" : "lbrn");
case LinearDodgeCompositeOp:
return(image->endian == LSBEndian ? "gddl" : "lddg");
case LinearLightCompositeOp:
return(image->endian == LSBEndian ? "tiLl" : "lLit");
case LuminizeCompositeOp:
return(image->endian == LSBEndian ? " mul" : "lum ");
case MultiplyCompositeOp:
return(image->endian == LSBEndian ? " lum" : "mul ");
case OverlayCompositeOp:
return(image->endian == LSBEndian ? "revo" : "over");
case PinLightCompositeOp:
return(image->endian == LSBEndian ? "tiLp" : "pLit");
case SaturateCompositeOp:
return(image->endian == LSBEndian ? " tas" : "sat ");
case ScreenCompositeOp:
return(image->endian == LSBEndian ? "nrcs" : "scrn");
case SoftLightCompositeOp:
return(image->endian == LSBEndian ? "tiLs" : "sLit");
case VividLightCompositeOp:
return(image->endian == LSBEndian ? "tiLv" : "vLit");
case OverCompositeOp:
default:
return(image->endian == LSBEndian ? "mron" : "norm");
}
}
/*
For some reason Photoshop seems to blend semi-transparent pixels with white.
This method reverts the blending. This can be disabled by setting the
option 'psd:alpha-unblend' to off.
*/
static MagickBooleanType CorrectPSDAlphaBlend(const ImageInfo *image_info,
Image *image,ExceptionInfo* exception)
{
const char
*option;
MagickBooleanType
status;
ssize_t
y;
if ((image->matte == MagickFalse) || (image->colorspace != sRGBColorspace))
return(MagickTrue);
option=GetImageOption(image_info,"psd:alpha-unblend");
if (IsStringNotFalse(option) == MagickFalse)
return(MagickTrue);
status=MagickTrue;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(status) \
magick_number_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
register PixelPacket
*magick_restrict q;
register ssize_t
x;
if (status == MagickFalse)
continue;
q=GetAuthenticPixels(image,0,y,image->columns,1,exception);
if (q == (PixelPacket *) NULL)
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
double
gamma;
gamma=QuantumScale*GetPixelAlpha(q);
if (gamma != 0.0 && gamma != 1.0)
{
SetPixelRed(q,(GetPixelRed(q)-((1.0-gamma)*QuantumRange))/gamma);
SetPixelGreen(q,(GetPixelGreen(q)-((1.0-gamma)*QuantumRange))/gamma);
SetPixelBlue(q,(GetPixelBlue(q)-((1.0-gamma)*QuantumRange))/gamma);
}
q++;
}
if (SyncAuthenticPixels(image,exception) == MagickFalse)
status=MagickFalse;
}
return(status);
}
static inline CompressionType ConvertPSDCompression(
PSDCompressionType compression)
{
switch (compression)
{
case RLE:
return RLECompression;
case ZipWithPrediction:
case ZipWithoutPrediction:
return ZipCompression;
default:
return NoCompression;
}
}
static MagickBooleanType ApplyPSDLayerOpacity(Image *image,Quantum opacity,
MagickBooleanType revert,ExceptionInfo *exception)
{
MagickBooleanType
status;
ssize_t
y;
if (image->debug != MagickFalse)
(void) LogMagickEvent(CoderEvent,GetMagickModule(),
" applying layer opacity %.20g", (double) opacity);
if (opacity == QuantumRange)
return(MagickTrue);
if (image->matte != MagickTrue)
(void) SetImageAlphaChannel(image,OpaqueAlphaChannel);
status=MagickTrue;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(status) \
magick_number_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
register PixelPacket
*magick_restrict q;
register ssize_t
x;
if (status == MagickFalse)
continue;
q=GetAuthenticPixels(image,0,y,image->columns,1,exception);
if (q == (PixelPacket *) NULL)
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
if (revert == MagickFalse)
SetPixelAlpha(q,(Quantum) (QuantumScale*(GetPixelAlpha(q)*opacity)));
else if (opacity > 0)
SetPixelAlpha(q,(Quantum) (QuantumRange*(GetPixelAlpha(q)/
(MagickRealType) opacity)));
q++;
}
if (SyncAuthenticPixels(image,exception) == MagickFalse)
status=MagickFalse;
}
return(status);
}
static MagickBooleanType ApplyPSDOpacityMask(Image *image,const Image *mask,
Quantum background,MagickBooleanType revert,ExceptionInfo *exception)
{
Image
*complete_mask;
MagickBooleanType
status;
MagickPixelPacket
color;
ssize_t
y;
if (image->matte == MagickFalse)
return(MagickTrue);
if (image->debug != MagickFalse)
(void) LogMagickEvent(CoderEvent,GetMagickModule(),
" applying opacity mask");
complete_mask=CloneImage(image,0,0,MagickTrue,exception);
if (complete_mask == (Image *) NULL)
return(MagickFalse);
complete_mask->matte=MagickTrue;
GetMagickPixelPacket(complete_mask,&color);
color.red=(MagickRealType) background;
(void) SetImageColor(complete_mask,&color);
status=CompositeImage(complete_mask,OverCompositeOp,mask,
mask->page.x-image->page.x,mask->page.y-image->page.y);
if (status == MagickFalse)
{
complete_mask=DestroyImage(complete_mask);
return(status);
}
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(status) \
magick_number_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
register PixelPacket
*magick_restrict q;
register PixelPacket
*p;
register ssize_t
x;
if (status == MagickFalse)
continue;
q=GetAuthenticPixels(image,0,y,image->columns,1,exception);
p=GetAuthenticPixels(complete_mask,0,y,complete_mask->columns,1,exception);
if ((q == (PixelPacket *) NULL) || (p == (PixelPacket *) NULL))
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
MagickRealType
alpha,
intensity;
alpha=(MagickRealType) GetPixelAlpha(q);
intensity=GetPixelIntensity(complete_mask,p);
if (revert == MagickFalse)
SetPixelAlpha(q,ClampToQuantum(intensity*(QuantumScale*alpha)));
else if (intensity > 0)
SetPixelAlpha(q,ClampToQuantum((alpha/intensity)*QuantumRange));
q++;
p++;
}
if (SyncAuthenticPixels(image,exception) == MagickFalse)
status=MagickFalse;
}
complete_mask=DestroyImage(complete_mask);
return(status);
}
static void PreservePSDOpacityMask(Image *image,LayerInfo* layer_info,
ExceptionInfo *exception)
{
char
*key;
RandomInfo
*random_info;
StringInfo
*key_info;
if (image->debug != MagickFalse)
(void) LogMagickEvent(CoderEvent,GetMagickModule(),
" preserving opacity mask");
random_info=AcquireRandomInfo();
key_info=GetRandomKey(random_info,2+1);
key=(char *) GetStringInfoDatum(key_info);
key[8]=(char) layer_info->mask.background;
key[9]='\0';
layer_info->mask.image->page.x+=layer_info->page.x;
layer_info->mask.image->page.y+=layer_info->page.y;
(void) SetImageRegistry(ImageRegistryType,(const char *) key,
layer_info->mask.image,exception);
(void) SetImageArtifact(layer_info->image,"psd:opacity-mask",
(const char *) key);
key_info=DestroyStringInfo(key_info);
random_info=DestroyRandomInfo(random_info);
}
static ssize_t DecodePSDPixels(const size_t number_compact_pixels,
const unsigned char *compact_pixels,const ssize_t depth,
const size_t number_pixels,unsigned char *pixels)
{
#define CheckNumberCompactPixels \
if (packets == 0) \
return(i); \
packets--
#define CheckNumberPixels(count) \
if (((ssize_t) i + count) > (ssize_t) number_pixels) \
return(i); \
i+=count
int
pixel;
register ssize_t
i,
j;
size_t
length;
ssize_t
packets;
packets=(ssize_t) number_compact_pixels;
for (i=0; (packets > 1) && (i < (ssize_t) number_pixels); )
{
packets--;
length=(size_t) (*compact_pixels++);
if (length == 128)
continue;
if (length > 128)
{
length=256-length+1;
CheckNumberCompactPixels;
pixel=(*compact_pixels++);
for (j=0; j < (ssize_t) length; j++)
{
switch (depth)
{
case 1:
{
CheckNumberPixels(8);
*pixels++=(pixel >> 7) & 0x01 ? 0U : 255U;
*pixels++=(pixel >> 6) & 0x01 ? 0U : 255U;
*pixels++=(pixel >> 5) & 0x01 ? 0U : 255U;
*pixels++=(pixel >> 4) & 0x01 ? 0U : 255U;
*pixels++=(pixel >> 3) & 0x01 ? 0U : 255U;
*pixels++=(pixel >> 2) & 0x01 ? 0U : 255U;
*pixels++=(pixel >> 1) & 0x01 ? 0U : 255U;
*pixels++=(pixel >> 0) & 0x01 ? 0U : 255U;
break;
}
case 2:
{
CheckNumberPixels(4);
*pixels++=(unsigned char) ((pixel >> 6) & 0x03);
*pixels++=(unsigned char) ((pixel >> 4) & 0x03);
*pixels++=(unsigned char) ((pixel >> 2) & 0x03);
*pixels++=(unsigned char) ((pixel & 0x03) & 0x03);
break;
}
case 4:
{
CheckNumberPixels(2);
*pixels++=(unsigned char) ((pixel >> 4) & 0xff);
*pixels++=(unsigned char) ((pixel & 0x0f) & 0xff);
break;
}
default:
{
CheckNumberPixels(1);
*pixels++=(unsigned char) pixel;
break;
}
}
}
continue;
}
length++;
for (j=0; j < (ssize_t) length; j++)
{
CheckNumberCompactPixels;
switch (depth)
{
case 1:
{
CheckNumberPixels(8);
*pixels++=(*compact_pixels >> 7) & 0x01 ? 0U : 255U;
*pixels++=(*compact_pixels >> 6) & 0x01 ? 0U : 255U;
*pixels++=(*compact_pixels >> 5) & 0x01 ? 0U : 255U;
*pixels++=(*compact_pixels >> 4) & 0x01 ? 0U : 255U;
*pixels++=(*compact_pixels >> 3) & 0x01 ? 0U : 255U;
*pixels++=(*compact_pixels >> 2) & 0x01 ? 0U : 255U;
*pixels++=(*compact_pixels >> 1) & 0x01 ? 0U : 255U;
*pixels++=(*compact_pixels >> 0) & 0x01 ? 0U : 255U;
break;
}
case 2:
{
CheckNumberPixels(4);
*pixels++=(*compact_pixels >> 6) & 0x03;
*pixels++=(*compact_pixels >> 4) & 0x03;
*pixels++=(*compact_pixels >> 2) & 0x03;
*pixels++=(*compact_pixels & 0x03) & 0x03;
break;
}
case 4:
{
CheckNumberPixels(2);
*pixels++=(*compact_pixels >> 4) & 0xff;
*pixels++=(*compact_pixels & 0x0f) & 0xff;
break;
}
default:
{
CheckNumberPixels(1);
*pixels++=(*compact_pixels);
break;
}
}
compact_pixels++;
}
}
return(i);
}
static inline LayerInfo *DestroyLayerInfo(LayerInfo *layer_info,
const ssize_t number_layers)
{
ssize_t
i;
for (i=0; i<number_layers; i++)
{
if (layer_info[i].image != (Image *) NULL)
layer_info[i].image=DestroyImage(layer_info[i].image);
if (layer_info[i].mask.image != (Image *) NULL)
layer_info[i].mask.image=DestroyImage(layer_info[i].mask.image);
if (layer_info[i].info != (StringInfo *) NULL)
layer_info[i].info=DestroyStringInfo(layer_info[i].info);
}
return (LayerInfo *) RelinquishMagickMemory(layer_info);
}
static inline size_t GetPSDPacketSize(const Image *image)
{
if (image->storage_class == PseudoClass)
{
if (image->colors > 256)
return(2);
}
if (image->depth > 16)
return(4);
if (image->depth > 8)
return(2);
return(1);
}
static inline MagickSizeType GetPSDSize(const PSDInfo *psd_info,Image *image)
{
if (psd_info->version == 1)
return((MagickSizeType) ReadBlobLong(image));
return((MagickSizeType) ReadBlobLongLong(image));
}
static inline size_t GetPSDRowSize(Image *image)
{
if (image->depth == 1)
return(((image->columns+7)/8)*GetPSDPacketSize(image));
else
return(image->columns*GetPSDPacketSize(image));
}
static const char *ModeToString(PSDImageType type)
{
switch (type)
{
case BitmapMode: return "Bitmap";
case GrayscaleMode: return "Grayscale";
case IndexedMode: return "Indexed";
case RGBMode: return "RGB";
case CMYKMode: return "CMYK";
case MultichannelMode: return "Multichannel";
case DuotoneMode: return "Duotone";
case LabMode: return "L*A*B";
default: return "unknown";
}
}
static StringInfo *ParseImageResourceBlocks(Image *image,
const unsigned char *blocks,size_t length,
MagickBooleanType *has_merged_image)
{
const unsigned char
*p;
ssize_t
offset;
StringInfo
*profile;
unsigned char
name_length;
unsigned int
count;
unsigned short
id,
short_sans;
if (length < 16)
return((StringInfo *) NULL);
profile=BlobToStringInfo((const void *) NULL,length);
SetStringInfoDatum(profile,blocks);
SetStringInfoName(profile,"8bim");
for (p=blocks; (p >= blocks) && (p < (blocks+length-7)); )
{
if (LocaleNCompare((const char *) p,"8BIM",4) != 0)
break;
p+=4;
p=PushShortPixel(MSBEndian,p,&id);
p=PushCharPixel(p,&name_length);
if ((name_length % 2) == 0)
name_length++;
p+=name_length;
if (p > (blocks+length-4))
break;
p=PushLongPixel(MSBEndian,p,&count);
offset=(ssize_t) count;
if (((p+offset) < blocks) || ((p+offset) > (blocks+length)))
break;
switch (id)
{
case 0x03ed:
{
char
value[MaxTextExtent];
unsigned short
resolution;
/*
Resolution info.
*/
if (offset < 16)
break;
p=PushShortPixel(MSBEndian,p,&resolution);
image->x_resolution=(double) resolution;
(void) FormatLocaleString(value,MaxTextExtent,"%g",
image->x_resolution);
(void) SetImageProperty(image,"tiff:XResolution",value);
p=PushShortPixel(MSBEndian,p,&short_sans);
p=PushShortPixel(MSBEndian,p,&short_sans);
p=PushShortPixel(MSBEndian,p,&short_sans);
p=PushShortPixel(MSBEndian,p,&resolution);
image->y_resolution=(double) resolution;
(void) FormatLocaleString(value,MaxTextExtent,"%g",
image->y_resolution);
(void) SetImageProperty(image,"tiff:YResolution",value);
p=PushShortPixel(MSBEndian,p,&short_sans);
p=PushShortPixel(MSBEndian,p,&short_sans);
p=PushShortPixel(MSBEndian,p,&short_sans);
image->units=PixelsPerInchResolution;
break;
}
case 0x0421:
{
if ((offset > 4) && (*(p+4) == 0))
*has_merged_image=MagickFalse;
p+=offset;
break;
}
default:
{
p+=offset;
break;
}
}
if ((offset & 0x01) != 0)
p++;
}
return(profile);
}
static CompositeOperator PSDBlendModeToCompositeOperator(const char *mode)
{
if (mode == (const char *) NULL)
return(OverCompositeOp);
if (LocaleNCompare(mode,"norm",4) == 0)
return(OverCompositeOp);
if (LocaleNCompare(mode,"mul ",4) == 0)
return(MultiplyCompositeOp);
if (LocaleNCompare(mode,"diss",4) == 0)
return(DissolveCompositeOp);
if (LocaleNCompare(mode,"diff",4) == 0)
return(DifferenceCompositeOp);
if (LocaleNCompare(mode,"dark",4) == 0)
return(DarkenCompositeOp);
if (LocaleNCompare(mode,"lite",4) == 0)
return(LightenCompositeOp);
if (LocaleNCompare(mode,"hue ",4) == 0)
return(HueCompositeOp);
if (LocaleNCompare(mode,"sat ",4) == 0)
return(SaturateCompositeOp);
if (LocaleNCompare(mode,"colr",4) == 0)
return(ColorizeCompositeOp);
if (LocaleNCompare(mode,"lum ",4) == 0)
return(LuminizeCompositeOp);
if (LocaleNCompare(mode,"scrn",4) == 0)
return(ScreenCompositeOp);
if (LocaleNCompare(mode,"over",4) == 0)
return(OverlayCompositeOp);
if (LocaleNCompare(mode,"hLit",4) == 0)
return(HardLightCompositeOp);
if (LocaleNCompare(mode,"sLit",4) == 0)
return(SoftLightCompositeOp);
if (LocaleNCompare(mode,"smud",4) == 0)
return(ExclusionCompositeOp);
if (LocaleNCompare(mode,"div ",4) == 0)
return(ColorDodgeCompositeOp);
if (LocaleNCompare(mode,"idiv",4) == 0)
return(ColorBurnCompositeOp);
if (LocaleNCompare(mode,"lbrn",4) == 0)
return(LinearBurnCompositeOp);
if (LocaleNCompare(mode,"lddg",4) == 0)
return(LinearDodgeCompositeOp);
if (LocaleNCompare(mode,"lLit",4) == 0)
return(LinearLightCompositeOp);
if (LocaleNCompare(mode,"vLit",4) == 0)
return(VividLightCompositeOp);
if (LocaleNCompare(mode,"pLit",4) == 0)
return(PinLightCompositeOp);
if (LocaleNCompare(mode,"hMix",4) == 0)
return(HardMixCompositeOp);
return(OverCompositeOp);
}
static inline void ReversePSDString(Image *image,char *p,size_t length)
{
char
*q;
if (image->endian == MSBEndian)
return;
q=p+length;
for(--q; p < q; ++p, --q)
{
*p = *p ^ *q,
*q = *p ^ *q,
*p = *p ^ *q;
}
}
static inline void SetPSDPixel(Image *image,const size_t channels,
const ssize_t type,const size_t packet_size,const Quantum pixel,
PixelPacket *q,IndexPacket *indexes,ssize_t x)
{
if (image->storage_class == PseudoClass)
{
PixelPacket
*color;
if (type == 0)
{
if (packet_size == 1)
SetPixelIndex(indexes+x,ScaleQuantumToChar(pixel));
else
SetPixelIndex(indexes+x,ScaleQuantumToShort(pixel));
}
color=image->colormap+(ssize_t) ConstrainColormapIndex(image,
(ssize_t) GetPixelIndex(indexes+x));
if ((type == 0) && (channels > 1))
return;
else
SetPixelAlpha(color,pixel);
SetPixelRGBO(q,color);
return;
}
switch (type)
{
case -1:
{
SetPixelAlpha(q,pixel);
break;
}
case -2:
case 0:
{
SetPixelRed(q,pixel);
if ((channels < 3) || (type == -2))
{
SetPixelGreen(q,GetPixelRed(q));
SetPixelBlue(q,GetPixelRed(q));
}
break;
}
case -3:
case 1:
{
SetPixelGreen(q,pixel);
break;
}
case -4:
case 2:
{
SetPixelBlue(q,pixel);
break;
}
case 3:
{
if (image->colorspace == CMYKColorspace)
SetPixelIndex(indexes+x,pixel);
else
if (image->matte != MagickFalse)
SetPixelAlpha(q,pixel);
break;
}
case 4:
{
if ((IssRGBCompatibleColorspace(image->colorspace) != MagickFalse) &&
(channels > 3))
break;
if (image->matte != MagickFalse)
SetPixelAlpha(q,pixel);
break;
}
}
}
static MagickBooleanType ReadPSDChannelPixels(Image *image,
const size_t channels,const ssize_t row,const ssize_t type,
const unsigned char *pixels,ExceptionInfo *exception)
{
Quantum
pixel;
register const unsigned char
*p;
register IndexPacket
*indexes;
register PixelPacket
*q;
register ssize_t
x;
size_t
packet_size;
unsigned short
nibble;
p=pixels;
q=GetAuthenticPixels(image,0,row,image->columns,1,exception);
if (q == (PixelPacket *) NULL)
return MagickFalse;
indexes=GetAuthenticIndexQueue(image);
packet_size=GetPSDPacketSize(image);
for (x=0; x < (ssize_t) image->columns; x++)
{
if (packet_size == 1)
pixel=ScaleCharToQuantum(*p++);
else
if (packet_size == 2)
{
p=PushShortPixel(MSBEndian,p,&nibble);
pixel=ScaleShortToQuantum(nibble);
}
else
{
MagickFloatType
nibble;
p=PushFloatPixel(MSBEndian,p,&nibble);
pixel=ClampToQuantum((MagickRealType)QuantumRange*nibble);
}
if (image->depth > 1)
{
SetPSDPixel(image,channels,type,packet_size,pixel,q,indexes,x);
q++;
}
else
{
ssize_t
bit,
number_bits;
number_bits=(ssize_t) image->columns-x;
if (number_bits > 8)
number_bits=8;
for (bit=0; bit < number_bits; bit++)
{
SetPSDPixel(image,channels,type,packet_size,(((unsigned char) pixel)
& (0x01 << (7-bit))) != 0 ? 0 : QuantumRange,q++,indexes,x++);
}
if (x != (ssize_t) image->columns)
x--;
continue;
}
}
return(SyncAuthenticPixels(image,exception));
}
static MagickBooleanType ReadPSDChannelRaw(Image *image,const size_t channels,
const ssize_t type,ExceptionInfo *exception)
{
MagickBooleanType
status;
size_t
row_size;
ssize_t
count,
y;
unsigned char
*pixels;
if (image->debug != MagickFalse)
(void) LogMagickEvent(CoderEvent,GetMagickModule(),
" layer data is RAW");
row_size=GetPSDRowSize(image);
pixels=(unsigned char *) AcquireQuantumMemory(row_size,sizeof(*pixels));
if (pixels == (unsigned char *) NULL)
ThrowBinaryException(ResourceLimitError,"MemoryAllocationFailed",
image->filename);
(void) memset(pixels,0,row_size*sizeof(*pixels));
status=MagickTrue;
for (y=0; y < (ssize_t) image->rows; y++)
{
status=MagickFalse;
count=ReadBlob(image,row_size,pixels);
if (count != (ssize_t) row_size)
{
status=MagickFalse;
break;
}
status=ReadPSDChannelPixels(image,channels,y,type,pixels,exception);
if (status == MagickFalse)
break;
}
pixels=(unsigned char *) RelinquishMagickMemory(pixels);
return(status);
}
static inline MagickOffsetType *ReadPSDRLESizes(Image *image,
const PSDInfo *psd_info,const size_t size)
{
MagickOffsetType
*sizes;
ssize_t
y;
sizes=(MagickOffsetType *) AcquireQuantumMemory(size,sizeof(*sizes));
if(sizes != (MagickOffsetType *) NULL)
{
for (y=0; y < (ssize_t) size; y++)
{
if (psd_info->version == 1)
sizes[y]=(MagickOffsetType) ReadBlobShort(image);
else
sizes[y]=(MagickOffsetType) ReadBlobLong(image);
}
}
return sizes;
}
static MagickBooleanType ReadPSDChannelRLE(Image *image,const PSDInfo *psd_info,
const ssize_t type,MagickOffsetType *sizes,ExceptionInfo *exception)
{
MagickBooleanType
status;
size_t
length,
row_size;
ssize_t
count,
y;
unsigned char
*compact_pixels,
*pixels;
if (image->debug != MagickFalse)
(void) LogMagickEvent(CoderEvent,GetMagickModule(),
" layer data is RLE compressed");
row_size=GetPSDRowSize(image);
pixels=(unsigned char *) AcquireQuantumMemory(row_size,sizeof(*pixels));
if (pixels == (unsigned char *) NULL)
ThrowBinaryException(ResourceLimitError,"MemoryAllocationFailed",
image->filename);
length=0;
for (y=0; y < (ssize_t) image->rows; y++)
if ((MagickOffsetType) length < sizes[y])
length=(size_t) sizes[y];
if (length > (row_size+2048))
{
pixels=(unsigned char *) RelinquishMagickMemory(pixels);
ThrowBinaryException(ResourceLimitError,"InvalidLength",image->filename);
}
compact_pixels=(unsigned char *) AcquireQuantumMemory(length,sizeof(*pixels));
if (compact_pixels == (unsigned char *) NULL)
{
pixels=(unsigned char *) RelinquishMagickMemory(pixels);
ThrowBinaryException(ResourceLimitError,"MemoryAllocationFailed",
image->filename);
}
(void) memset(compact_pixels,0,length*sizeof(*compact_pixels));
status=MagickTrue;
for (y=0; y < (ssize_t) image->rows; y++)
{
status=MagickFalse;
count=ReadBlob(image,(size_t) sizes[y],compact_pixels);
if (count != (ssize_t) sizes[y])
break;
count=DecodePSDPixels((size_t) sizes[y],compact_pixels,
(ssize_t) (image->depth == 1 ? 123456 : image->depth),row_size,pixels);
if (count != (ssize_t) row_size)
break;
status=ReadPSDChannelPixels(image,psd_info->channels,y,type,pixels,
exception);
if (status == MagickFalse)
break;
}
compact_pixels=(unsigned char *) RelinquishMagickMemory(compact_pixels);
pixels=(unsigned char *) RelinquishMagickMemory(pixels);
return(status);
}
#ifdef MAGICKCORE_ZLIB_DELEGATE
static MagickBooleanType ReadPSDChannelZip(Image *image,const size_t channels,
const ssize_t type,const PSDCompressionType compression,
const size_t compact_size,ExceptionInfo *exception)
{
MagickBooleanType
status;
register unsigned char
*p;
size_t
count,
length,
packet_size,
row_size;
ssize_t
y;
unsigned char
*compact_pixels,
*pixels;
z_stream
stream;
if (image->debug != MagickFalse)
(void) LogMagickEvent(CoderEvent,GetMagickModule(),
" layer data is ZIP compressed");
if ((MagickSizeType) compact_size > GetBlobSize(image))
ThrowBinaryException(CorruptImageError,"UnexpectedEndOfFile",
image->filename);
compact_pixels=(unsigned char *) AcquireQuantumMemory(compact_size,
sizeof(*compact_pixels));
if (compact_pixels == (unsigned char *) NULL)
ThrowBinaryException(ResourceLimitError,"MemoryAllocationFailed",
image->filename);
packet_size=GetPSDPacketSize(image);
row_size=image->columns*packet_size;
count=image->rows*row_size;
pixels=(unsigned char *) AcquireQuantumMemory(count,sizeof(*pixels));
if (pixels == (unsigned char *) NULL)
{
compact_pixels=(unsigned char *) RelinquishMagickMemory(compact_pixels);
ThrowBinaryException(ResourceLimitError,"MemoryAllocationFailed",
image->filename);
}
if (ReadBlob(image,compact_size,compact_pixels) != (ssize_t) compact_size)
{
pixels=(unsigned char *) RelinquishMagickMemory(pixels);
compact_pixels=(unsigned char *) RelinquishMagickMemory(compact_pixels);
ThrowBinaryException(CorruptImageError,"UnexpectedEndOfFile",
image->filename);
}
memset(&stream,0,sizeof(stream));
stream.data_type=Z_BINARY;
stream.next_in=(Bytef *)compact_pixels;
stream.avail_in=(uInt) compact_size;
stream.next_out=(Bytef *)pixels;
stream.avail_out=(uInt) count;
if (inflateInit(&stream) == Z_OK)
{
int
ret;
while (stream.avail_out > 0)
{
ret=inflate(&stream,Z_SYNC_FLUSH);
if ((ret != Z_OK) && (ret != Z_STREAM_END))
{
(void) inflateEnd(&stream);
compact_pixels=(unsigned char *) RelinquishMagickMemory(
compact_pixels);
pixels=(unsigned char *) RelinquishMagickMemory(pixels);
return(MagickFalse);
}
if (ret == Z_STREAM_END)
break;
}
(void) inflateEnd(&stream);
}
if (compression == ZipWithPrediction)
{
p=pixels;
while (count > 0)
{
length=image->columns;
while (--length)
{
if (packet_size == 2)
{
p[2]+=p[0]+((p[1]+p[3]) >> 8);
p[3]+=p[1];
}
else
*(p+1)+=*p;
p+=packet_size;
}
p+=packet_size;
count-=row_size;
}
}
status=MagickTrue;
p=pixels;
for (y=0; y < (ssize_t) image->rows; y++)
{
status=ReadPSDChannelPixels(image,channels,y,type,p,exception);
if (status == MagickFalse)
break;
p+=row_size;
}
compact_pixels=(unsigned char *) RelinquishMagickMemory(compact_pixels);
pixels=(unsigned char *) RelinquishMagickMemory(pixels);
return(status);
}
#endif
static MagickBooleanType ReadPSDChannel(Image *image,
const ImageInfo *image_info,const PSDInfo *psd_info,LayerInfo* layer_info,
const size_t channel,const PSDCompressionType compression,
ExceptionInfo *exception)
{
Image
*channel_image,
*mask;
MagickOffsetType
offset;
MagickBooleanType
status;
channel_image=image;
mask=(Image *) NULL;
if ((layer_info->channel_info[channel].type < -1) &&
(layer_info->mask.page.width > 0) && (layer_info->mask.page.height > 0))
{
const char
*option;
/*
Ignore mask that is not a user supplied layer mask, if the mask is
disabled or if the flags have unsupported values.
*/
option=GetImageOption(image_info,"psd:preserve-opacity-mask");
if ((layer_info->channel_info[channel].type != -2) ||
(layer_info->mask.flags > 2) || ((layer_info->mask.flags & 0x02) &&
(IsStringTrue(option) == MagickFalse)))
{
(void) SeekBlob(image,(MagickOffsetType)
layer_info->channel_info[channel].size-2,SEEK_CUR);
return(MagickTrue);
}
mask=CloneImage(image,layer_info->mask.page.width,
layer_info->mask.page.height,MagickFalse,exception);
if (mask != (Image *) NULL)
{
(void) ResetImagePixels(mask,exception);
mask->matte=MagickFalse;
channel_image=mask;
}
}
offset=TellBlob(image);
status=MagickFalse;
switch(compression)
{
case Raw:
status=ReadPSDChannelRaw(channel_image,psd_info->channels,
(ssize_t) layer_info->channel_info[channel].type,exception);
break;
case RLE:
{
MagickOffsetType
*sizes;
sizes=ReadPSDRLESizes(channel_image,psd_info,channel_image->rows);
if (sizes == (MagickOffsetType *) NULL)
ThrowBinaryException(ResourceLimitError,"MemoryAllocationFailed",
image->filename);
status=ReadPSDChannelRLE(channel_image,psd_info,
(ssize_t) layer_info->channel_info[channel].type,sizes,exception);
sizes=(MagickOffsetType *) RelinquishMagickMemory(sizes);
}
break;
case ZipWithPrediction:
case ZipWithoutPrediction:
#ifdef MAGICKCORE_ZLIB_DELEGATE
status=ReadPSDChannelZip(channel_image,layer_info->channels,
(ssize_t) layer_info->channel_info[channel].type,compression,
layer_info->channel_info[channel].size-2,exception);
#else
(void) ThrowMagickException(exception,GetMagickModule(),
MissingDelegateWarning,"DelegateLibrarySupportNotBuiltIn",
"'%s' (ZLIB)",image->filename);
#endif
break;
default:
(void) ThrowMagickException(exception,GetMagickModule(),TypeWarning,
"CompressionNotSupported","'%.20g'",(double) compression);
break;
}
(void) SeekBlob(image,offset+layer_info->channel_info[channel].size-2,
SEEK_SET);
if (status == MagickFalse)
{
if (mask != (Image *) NULL)
(void) DestroyImage(mask);
ThrowBinaryException(CoderError,"UnableToDecompressImage",
image->filename);
}
if (mask != (Image *) NULL)
{
if (layer_info->mask.image != (Image *) NULL)
layer_info->mask.image=DestroyImage(layer_info->mask.image);
layer_info->mask.image=mask;
}
return(status);
}
static MagickBooleanType ReadPSDLayer(Image *image,const ImageInfo *image_info,
const PSDInfo *psd_info,LayerInfo* layer_info,ExceptionInfo *exception)
{
char
message[MaxTextExtent];
MagickBooleanType
status;
PSDCompressionType
compression;
ssize_t
j;
if (image->debug != MagickFalse)
(void) LogMagickEvent(CoderEvent,GetMagickModule(),
" setting up new layer image");
if (psd_info->mode != IndexedMode)
(void) SetImageBackgroundColor(layer_info->image);
layer_info->image->compose=PSDBlendModeToCompositeOperator(
layer_info->blendkey);
if (layer_info->visible == MagickFalse)
{
layer_info->image->compose=NoCompositeOp;
(void) SetImageArtifact(layer_info->image,"psd:layer.invisible","true");
}
if (psd_info->mode == CMYKMode)
(void) SetImageColorspace(layer_info->image,CMYKColorspace);
else if ((psd_info->mode == BitmapMode) || (psd_info->mode == DuotoneMode) ||
(psd_info->mode == GrayscaleMode))
(void) SetImageColorspace(layer_info->image,GRAYColorspace);
/*
Set up some hidden attributes for folks that need them.
*/
(void) FormatLocaleString(message,MaxTextExtent,"%.20g",
(double) layer_info->page.x);
(void) SetImageArtifact(layer_info->image,"psd:layer.x",message);
(void) FormatLocaleString(message,MaxTextExtent,"%.20g",
(double) layer_info->page.y);
(void) SetImageArtifact(layer_info->image,"psd:layer.y",message);
(void) FormatLocaleString(message,MaxTextExtent,"%.20g",(double)
layer_info->opacity);
(void) SetImageArtifact(layer_info->image,"psd:layer.opacity",message);
(void) SetImageProperty(layer_info->image,"label",(char *) layer_info->name);
status=MagickTrue;
for (j=0; j < (ssize_t) layer_info->channels; j++)
{
if (image->debug != MagickFalse)
(void) LogMagickEvent(CoderEvent,GetMagickModule(),
" reading data for channel %.20g",(double) j);
compression=(PSDCompressionType) ReadBlobShort(layer_info->image);
if ((compression == ZipWithPrediction) && (image->depth == 32))
{
(void) ThrowMagickException(exception,GetMagickModule(),
TypeError,"CompressionNotSupported","ZipWithPrediction(32 bit)");
return(MagickFalse);
}
layer_info->image->compression=ConvertPSDCompression(compression);
if (layer_info->channel_info[j].type == -1)
layer_info->image->matte=MagickTrue;
status=ReadPSDChannel(layer_info->image,image_info,psd_info,layer_info,
(size_t) j,compression,exception);
InheritException(exception,&layer_info->image->exception);
if (status == MagickFalse)
break;
}
if (status != MagickFalse)
status=ApplyPSDLayerOpacity(layer_info->image,layer_info->opacity,
MagickFalse,exception);
if ((status != MagickFalse) &&
(layer_info->image->colorspace == CMYKColorspace))
status=NegateImage(layer_info->image,MagickFalse);
if ((status != MagickFalse) && (layer_info->mask.image != (Image *) NULL))
{
const char
*option;
layer_info->mask.image->page.x=layer_info->mask.page.x;
layer_info->mask.image->page.y=layer_info->mask.page.y;
/* Do not composite the mask when it is disabled */
if ((layer_info->mask.flags & 0x02) == 0x02)
layer_info->mask.image->compose=NoCompositeOp;
else
status=ApplyPSDOpacityMask(layer_info->image,layer_info->mask.image,
layer_info->mask.background == 0 ? 0 : QuantumRange,MagickFalse,
exception);
option=GetImageOption(image_info,"psd:preserve-opacity-mask");
if (IsStringTrue(option) != MagickFalse)
PreservePSDOpacityMask(image,layer_info,exception);
layer_info->mask.image=DestroyImage(layer_info->mask.image);
}
return(status);
}
static MagickBooleanType CheckPSDChannels(const PSDInfo *psd_info,
LayerInfo *layer_info)
{
int
channel_type;
register ssize_t
i;
if (layer_info->channels < psd_info->min_channels)
return(MagickFalse);
channel_type=RedChannel;
if (psd_info->min_channels >= 3)
channel_type|=(GreenChannel | BlueChannel);
if (psd_info->min_channels >= 4)
channel_type|=BlackChannel;
for (i=0; i < (ssize_t) layer_info->channels; i++)
{
short
type;
type=layer_info->channel_info[i].type;
if (type == -1)
{
channel_type|=AlphaChannel;
continue;
}
if (type < -1)
continue;
if (type == 0)
channel_type&=~RedChannel;
else if (type == 1)
channel_type&=~GreenChannel;
else if (type == 2)
channel_type&=~BlueChannel;
else if (type == 3)
channel_type&=~BlackChannel;
}
if (channel_type == 0)
return(MagickTrue);
if ((channel_type == AlphaChannel) &&
(layer_info->channels >= psd_info->min_channels + 1))
return(MagickTrue);
return(MagickFalse);
}
static MagickBooleanType ReadPSDLayersInternal(Image *image,
const ImageInfo *image_info,const PSDInfo *psd_info,
const MagickBooleanType skip_layers,ExceptionInfo *exception)
{
char
type[4];
LayerInfo
*layer_info;
MagickSizeType
size;
MagickBooleanType
status;
register ssize_t
i;
ssize_t
count,
j,
number_layers;
size=GetPSDSize(psd_info,image);
if (size == 0)
{
/*
Skip layers & masks.
*/
(void) ReadBlobLong(image);
count=ReadBlob(image,4,(unsigned char *) type);
if (count == 4)
ReversePSDString(image,type,(size_t) count);
if ((count != 4) || (LocaleNCompare(type,"8BIM",4) != 0))
return(MagickTrue);
else
{
count=ReadBlob(image,4,(unsigned char *) type);
if (count == 4)
ReversePSDString(image,type,4);
if ((count == 4) && ((LocaleNCompare(type,"Lr16",4) == 0) ||
(LocaleNCompare(type,"Lr32",4) == 0)))
size=GetPSDSize(psd_info,image);
else
return(MagickTrue);
}
}
status=MagickTrue;
if (size != 0)
{
layer_info=(LayerInfo *) NULL;
number_layers=(ssize_t) ReadBlobSignedShort(image);
if (number_layers < 0)
{
/*
The first alpha channel in the merged result contains the
transparency data for the merged result.
*/
number_layers=MagickAbsoluteValue(number_layers);
if (image->debug != MagickFalse)
(void) LogMagickEvent(CoderEvent,GetMagickModule(),
" negative layer count corrected for");
image->matte=MagickTrue;
}
/*
We only need to know if the image has an alpha channel
*/
if (skip_layers != MagickFalse)
return(MagickTrue);
if (image->debug != MagickFalse)
(void) LogMagickEvent(CoderEvent,GetMagickModule(),
" image contains %.20g layers",(double) number_layers);
if (number_layers == 0)
ThrowBinaryException(CorruptImageError,"InvalidNumberOfLayers",
image->filename);
layer_info=(LayerInfo *) AcquireQuantumMemory((size_t) number_layers,
sizeof(*layer_info));
if (layer_info == (LayerInfo *) NULL)
{
if (image->debug != MagickFalse)
(void) LogMagickEvent(CoderEvent,GetMagickModule(),
" allocation of LayerInfo failed");
ThrowBinaryException(ResourceLimitError,"MemoryAllocationFailed",
image->filename);
}
(void) memset(layer_info,0,(size_t) number_layers*sizeof(*layer_info));
for (i=0; i < number_layers; i++)
{
ssize_t
top,
left,
bottom,
right;
if (image->debug != MagickFalse)
(void) LogMagickEvent(CoderEvent,GetMagickModule(),
" reading layer #%.20g",(double) i+1);
top=(ssize_t) ReadBlobSignedLong(image);
left=(ssize_t) ReadBlobSignedLong(image);
bottom=(ssize_t) ReadBlobSignedLong(image);
right=(ssize_t) ReadBlobSignedLong(image);
if ((right < left) || (bottom < top))
{
layer_info=DestroyLayerInfo(layer_info,number_layers);
ThrowBinaryException(CorruptImageError,"ImproperImageHeader",
image->filename);
}
layer_info[i].page.y=top;
layer_info[i].page.x=left;
layer_info[i].page.width=(size_t) (right-left);
layer_info[i].page.height=(size_t) (bottom-top);
layer_info[i].channels=ReadBlobShort(image);
if (layer_info[i].channels > MaxPSDChannels)
{
layer_info=DestroyLayerInfo(layer_info,number_layers);
ThrowBinaryException(CorruptImageError,"MaximumChannelsExceeded",
image->filename);
}
if (image->debug != MagickFalse)
(void) LogMagickEvent(CoderEvent,GetMagickModule(),
" offset(%.20g,%.20g), size(%.20g,%.20g), channels=%.20g",
(double) layer_info[i].page.x,(double) layer_info[i].page.y,
(double) layer_info[i].page.height,(double)
layer_info[i].page.width,(double) layer_info[i].channels);
for (j=0; j < (ssize_t) layer_info[i].channels; j++)
{
layer_info[i].channel_info[j].type=(short) ReadBlobShort(image);
if ((layer_info[i].channel_info[j].type < -4) ||
(layer_info[i].channel_info[j].type > 4))
{
layer_info=DestroyLayerInfo(layer_info,number_layers);
ThrowBinaryException(CorruptImageError,"NoSuchImageChannel",
image->filename);
}
layer_info[i].channel_info[j].size=(size_t) GetPSDSize(psd_info,
image);
if (image->debug != MagickFalse)
(void) LogMagickEvent(CoderEvent,GetMagickModule(),
" channel[%.20g]: type=%.20g, size=%.20g",(double) j,
(double) layer_info[i].channel_info[j].type,
(double) layer_info[i].channel_info[j].size);
}
if (CheckPSDChannels(psd_info,&layer_info[i]) == MagickFalse)
{
layer_info=DestroyLayerInfo(layer_info,number_layers);
ThrowBinaryException(CorruptImageError,"ImproperImageHeader",
image->filename);
}
count=ReadBlob(image,4,(unsigned char *) type);
if (count == 4)
ReversePSDString(image,type,4);
if ((count != 4) || (LocaleNCompare(type,"8BIM",4) != 0))
{
if (image->debug != MagickFalse)
(void) LogMagickEvent(CoderEvent,GetMagickModule(),
" layer type was %.4s instead of 8BIM", type);
layer_info=DestroyLayerInfo(layer_info,number_layers);
ThrowBinaryException(CorruptImageError,"ImproperImageHeader",
image->filename);
}
count=ReadBlob(image,4,(unsigned char *) layer_info[i].blendkey);
if (count != 4)
{
layer_info=DestroyLayerInfo(layer_info,number_layers);
ThrowBinaryException(CorruptImageError,"ImproperImageHeader",
image->filename);
}
ReversePSDString(image,layer_info[i].blendkey,4);
layer_info[i].opacity=(Quantum) ScaleCharToQuantum((unsigned char)
ReadBlobByte(image));
layer_info[i].clipping=(unsigned char) ReadBlobByte(image);
layer_info[i].flags=(unsigned char) ReadBlobByte(image);
layer_info[i].visible=!(layer_info[i].flags & 0x02);
if (image->debug != MagickFalse)
(void) LogMagickEvent(CoderEvent,GetMagickModule(),
" blend=%.4s, opacity=%.20g, clipping=%s, flags=%d, visible=%s",
layer_info[i].blendkey,(double) layer_info[i].opacity,
layer_info[i].clipping ? "true" : "false",layer_info[i].flags,
layer_info[i].visible ? "true" : "false");
(void) ReadBlobByte(image); /* filler */
size=ReadBlobLong(image);
if (size != 0)
{
MagickSizeType
combined_length,
length;
if (image->debug != MagickFalse)
(void) LogMagickEvent(CoderEvent,GetMagickModule(),
" layer contains additional info");
length=ReadBlobLong(image);
combined_length=length+4;
if (length != 0)
{
/*
Layer mask info.
*/
layer_info[i].mask.page.y=(ssize_t) ReadBlobSignedLong(image);
layer_info[i].mask.page.x=(ssize_t) ReadBlobSignedLong(image);
layer_info[i].mask.page.height=(size_t) (
ReadBlobSignedLong(image)-layer_info[i].mask.page.y);
layer_info[i].mask.page.width=(size_t) (
ReadBlobSignedLong(image)-layer_info[i].mask.page.x);
layer_info[i].mask.background=(unsigned char) ReadBlobByte(
image);
layer_info[i].mask.flags=(unsigned char) ReadBlobByte(image);
if (!(layer_info[i].mask.flags & 0x01))
{
layer_info[i].mask.page.y=layer_info[i].mask.page.y-
layer_info[i].page.y;
layer_info[i].mask.page.x=layer_info[i].mask.page.x-
layer_info[i].page.x;
}
if (image->debug != MagickFalse)
(void) LogMagickEvent(CoderEvent,GetMagickModule(),
" layer mask: offset(%.20g,%.20g), size(%.20g,%.20g), length=%.20g",
(double) layer_info[i].mask.page.x,(double)
layer_info[i].mask.page.y,(double) layer_info[i].mask.page.width,
(double) layer_info[i].mask.page.height,(double)
((MagickOffsetType) length)-18);
/*
Skip over the rest of the layer mask information.
*/
if (DiscardBlobBytes(image,(MagickSizeType) (length-18)) == MagickFalse)
{
layer_info=DestroyLayerInfo(layer_info,number_layers);
ThrowBinaryException(CorruptImageError,"UnexpectedEndOfFile",
image->filename);
}
}
length=ReadBlobLong(image);
combined_length+=length+4;
if (length != 0)
{
/*
Layer blending ranges info.
*/
if (image->debug != MagickFalse)
(void) LogMagickEvent(CoderEvent,GetMagickModule(),
" layer blending ranges: length=%.20g",(double)
((MagickOffsetType) length));
if (DiscardBlobBytes(image,length) == MagickFalse)
{
layer_info=DestroyLayerInfo(layer_info,number_layers);
ThrowBinaryException(CorruptImageError,
"UnexpectedEndOfFile",image->filename);
}
}
/*
Layer name.
*/
length=(MagickSizeType) (unsigned char) ReadBlobByte(image);
combined_length+=length+1;
if (length > 0)
(void) ReadBlob(image,(size_t) length++,layer_info[i].name);
layer_info[i].name[length]='\0';
if (image->debug != MagickFalse)
(void) LogMagickEvent(CoderEvent,GetMagickModule(),
" layer name: %s",layer_info[i].name);
if ((length % 4) != 0)
{
length=4-(length % 4);
combined_length+=length;
/* Skip over the padding of the layer name */
if (DiscardBlobBytes(image,length) == MagickFalse)
{
layer_info=DestroyLayerInfo(layer_info,number_layers);
ThrowBinaryException(CorruptImageError,
"UnexpectedEndOfFile",image->filename);
}
}
length=(MagickSizeType) size-combined_length;
if (length > 0)
{
unsigned char
*info;
if (length > GetBlobSize(image))
{
layer_info=DestroyLayerInfo(layer_info,number_layers);
ThrowBinaryException(CorruptImageError,
"InsufficientImageDataInFile",image->filename);
}
layer_info[i].info=AcquireStringInfo((const size_t) length);
info=GetStringInfoDatum(layer_info[i].info);
(void) ReadBlob(image,(const size_t) length,info);
}
}
}
for (i=0; i < number_layers; i++)
{
if ((layer_info[i].page.width == 0) ||
(layer_info[i].page.height == 0))
{
if (image->debug != MagickFalse)
(void) LogMagickEvent(CoderEvent,GetMagickModule(),
" layer data is empty");
if (layer_info[i].info != (StringInfo *) NULL)
layer_info[i].info=DestroyStringInfo(layer_info[i].info);
continue;
}
/*
Allocate layered image.
*/
layer_info[i].image=CloneImage(image,layer_info[i].page.width,
layer_info[i].page.height,MagickFalse,exception);
if (layer_info[i].image == (Image *) NULL)
{
layer_info=DestroyLayerInfo(layer_info,number_layers);
if (image->debug != MagickFalse)
(void) LogMagickEvent(CoderEvent,GetMagickModule(),
" allocation of image for layer %.20g failed",(double) i);
ThrowBinaryException(ResourceLimitError,"MemoryAllocationFailed",
image->filename);
}
if (layer_info[i].info != (StringInfo *) NULL)
{
(void) SetImageProfile(layer_info[i].image,"psd:additional-info",
layer_info[i].info);
layer_info[i].info=DestroyStringInfo(layer_info[i].info);
}
}
if (image_info->ping == MagickFalse)
{
for (i=0; i < number_layers; i++)
{
if (layer_info[i].image == (Image *) NULL)
{
for (j=0; j < (ssize_t) layer_info[i].channels; j++)
{
if (DiscardBlobBytes(image,(MagickSizeType)
layer_info[i].channel_info[j].size) == MagickFalse)
{
layer_info=DestroyLayerInfo(layer_info,number_layers);
ThrowBinaryException(CorruptImageError,
"UnexpectedEndOfFile",image->filename);
}
}
continue;
}
if (image->debug != MagickFalse)
(void) LogMagickEvent(CoderEvent,GetMagickModule(),
" reading data for layer %.20g",(double) i);
status=ReadPSDLayer(image,image_info,psd_info,&layer_info[i],
exception);
if (status == MagickFalse)
break;
status=SetImageProgress(image,LoadImagesTag,(MagickOffsetType) i,
(MagickSizeType) number_layers);
if (status == MagickFalse)
break;
}
}
if (status != MagickFalse)
{
for (i=0; i < number_layers; i++)
{
if (layer_info[i].image == (Image *) NULL)
{
for (j=i; j < number_layers - 1; j++)
layer_info[j] = layer_info[j+1];
number_layers--;
i--;
}
}
if (number_layers > 0)
{
for (i=0; i < number_layers; i++)
{
if (i > 0)
layer_info[i].image->previous=layer_info[i-1].image;
if (i < (number_layers-1))
layer_info[i].image->next=layer_info[i+1].image;
layer_info[i].image->page=layer_info[i].page;
}
image->next=layer_info[0].image;
layer_info[0].image->previous=image;
}
layer_info=(LayerInfo *) RelinquishMagickMemory(layer_info);
}
else
layer_info=DestroyLayerInfo(layer_info,number_layers);
}
return(status);
}
ModuleExport MagickBooleanType ReadPSDLayers(Image *image,
const ImageInfo *image_info,const PSDInfo *psd_info,
const MagickBooleanType skip_layers,ExceptionInfo *exception)
{
PolicyDomain
domain;
PolicyRights
rights;
domain=CoderPolicyDomain;
rights=ReadPolicyRights;
if (IsRightsAuthorized(domain,rights,"PSD") == MagickFalse)
return(MagickFalse);
return(ReadPSDLayersInternal(image,image_info,psd_info,skip_layers,
exception));
}
static MagickBooleanType ReadPSDMergedImage(const ImageInfo *image_info,
Image* image,const PSDInfo* psd_info,ExceptionInfo *exception)
{
MagickOffsetType
*sizes;
MagickBooleanType
status;
PSDCompressionType
compression;
register ssize_t
i;
compression=(PSDCompressionType) ReadBlobMSBShort(image);
image->compression=ConvertPSDCompression(compression);
if (compression != Raw && compression != RLE)
{
(void) ThrowMagickException(exception,GetMagickModule(),
TypeWarning,"CompressionNotSupported","'%.20g'",(double) compression);
return(MagickFalse);
}
sizes=(MagickOffsetType *) NULL;
if (compression == RLE)
{
sizes=ReadPSDRLESizes(image,psd_info,image->rows*psd_info->channels);
if (sizes == (MagickOffsetType *) NULL)
ThrowBinaryException(ResourceLimitError,"MemoryAllocationFailed",
image->filename);
}
status=MagickTrue;
for (i=0; i < (ssize_t) psd_info->channels; i++)
{
ssize_t
type;
type=i;
if ((type == 1) && (psd_info->channels == 2))
type=-1;
if (compression == RLE)
status=ReadPSDChannelRLE(image,psd_info,type,sizes+(i*image->rows),
exception);
else
status=ReadPSDChannelRaw(image,psd_info->channels,type,exception);
if (status != MagickFalse)
status=SetImageProgress(image,LoadImagesTag,(MagickOffsetType) i,
psd_info->channels);
if (status == MagickFalse)
break;
}
if ((status != MagickFalse) && (image->colorspace == CMYKColorspace))
status=NegateImage(image,MagickFalse);
if (status != MagickFalse)
status=CorrectPSDAlphaBlend(image_info,image,exception);
sizes=(MagickOffsetType *) RelinquishMagickMemory(sizes);
return(status);
}
static Image *ReadPSDImage(const ImageInfo *image_info,ExceptionInfo *exception)
{
Image
*image;
MagickBooleanType
has_merged_image,
skip_layers;
MagickOffsetType
offset;
MagickSizeType
length;
MagickBooleanType
status;
PSDInfo
psd_info;
register ssize_t
i;
size_t
imageListLength;
ssize_t
count;
StringInfo
*profile;
/*
Open image file.
*/
assert(image_info != (const ImageInfo *) NULL);
assert(image_info->signature == MagickCoreSignature);
if (image_info->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",
image_info->filename);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickCoreSignature);
image=AcquireImage(image_info);
status=OpenBlob(image_info,image,ReadBinaryBlobMode,exception);
if (status == MagickFalse)
{
image=DestroyImageList(image);
return((Image *) NULL);
}
/*
Read image header.
*/
image->endian=MSBEndian;
count=ReadBlob(image,4,(unsigned char *) psd_info.signature);
psd_info.version=ReadBlobMSBShort(image);
if ((count != 4) || (LocaleNCompare(psd_info.signature,"8BPS",4) != 0) ||
((psd_info.version != 1) && (psd_info.version != 2)))
ThrowReaderException(CorruptImageError,"ImproperImageHeader");
(void) ReadBlob(image,6,psd_info.reserved);
psd_info.channels=ReadBlobMSBShort(image);
if (psd_info.channels < 1)
ThrowReaderException(CorruptImageError,"MissingImageChannel");
if (psd_info.channels > MaxPSDChannels)
ThrowReaderException(CorruptImageError,"MaximumChannelsExceeded");
psd_info.rows=ReadBlobMSBLong(image);
psd_info.columns=ReadBlobMSBLong(image);
if ((psd_info.version == 1) && ((psd_info.rows > 30000) ||
(psd_info.columns > 30000)))
ThrowReaderException(CorruptImageError,"ImproperImageHeader");
psd_info.depth=ReadBlobMSBShort(image);
if ((psd_info.depth != 1) && (psd_info.depth != 8) &&
(psd_info.depth != 16) && (psd_info.depth != 32))
ThrowReaderException(CorruptImageError,"ImproperImageHeader");
psd_info.mode=ReadBlobMSBShort(image);
if ((psd_info.mode == IndexedMode) && (psd_info.channels > 3))
ThrowReaderException(CorruptImageError,"ImproperImageHeader");
if (image->debug != MagickFalse)
(void) LogMagickEvent(CoderEvent,GetMagickModule(),
" Image is %.20g x %.20g with channels=%.20g, depth=%.20g, mode=%s",
(double) psd_info.columns,(double) psd_info.rows,(double)
psd_info.channels,(double) psd_info.depth,ModeToString((PSDImageType)
psd_info.mode));
if (EOFBlob(image) != MagickFalse)
ThrowReaderException(CorruptImageError,"ImproperImageHeader");
/*
Initialize image.
*/
image->depth=psd_info.depth;
image->columns=psd_info.columns;
image->rows=psd_info.rows;
status=SetImageExtent(image,image->columns,image->rows);
if (status == MagickFalse)
{
InheritException(exception,&image->exception);
return(DestroyImageList(image));
}
status=ResetImagePixels(image,exception);
if (status == MagickFalse)
{
InheritException(exception,&image->exception);
return(DestroyImageList(image));
}
psd_info.min_channels=3;
if (psd_info.mode == LabMode)
(void) SetImageColorspace(image,LabColorspace);
if (psd_info.mode == CMYKMode)
{
psd_info.min_channels=4;
(void) SetImageColorspace(image,CMYKColorspace);
}
else if ((psd_info.mode == BitmapMode) || (psd_info.mode == GrayscaleMode) ||
(psd_info.mode == DuotoneMode))
{
if (psd_info.depth != 32)
{
status=AcquireImageColormap(image,(size_t) (psd_info.depth != 16 ?
256 : 65536));
if (status == MagickFalse)
ThrowReaderException(ResourceLimitError,"MemoryAllocationFailed");
if (image->debug != MagickFalse)
(void) LogMagickEvent(CoderEvent,GetMagickModule(),
" Image colormap allocated");
}
psd_info.min_channels=1;
(void) SetImageColorspace(image,GRAYColorspace);
}
if (psd_info.channels < psd_info.min_channels)
ThrowReaderException(CorruptImageError,"ImproperImageHeader");
/*
Read PSD raster colormap only present for indexed and duotone images.
*/
length=ReadBlobMSBLong(image);
if ((psd_info.mode == IndexedMode) && (length < 3))
ThrowReaderException(CorruptImageError,"ImproperImageHeader");
if (length != 0)
{
if (image->debug != MagickFalse)
(void) LogMagickEvent(CoderEvent,GetMagickModule(),
" reading colormap");
if ((psd_info.mode == DuotoneMode) || (psd_info.depth == 32))
{
/*
Duotone image data; the format of this data is undocumented.
*/
(void) SeekBlob(image,(const MagickOffsetType) length,SEEK_CUR);
}
else
{
size_t
number_colors;
/*
Read PSD raster colormap.
*/
number_colors=(size_t) length/3;
if (number_colors > 65536)
ThrowReaderException(CorruptImageError,"ImproperImageHeader");
if (AcquireImageColormap(image,number_colors) == MagickFalse)
ThrowReaderException(ResourceLimitError,"MemoryAllocationFailed");
for (i=0; i < (ssize_t) image->colors; i++)
image->colormap[i].red=ScaleCharToQuantum((unsigned char)
ReadBlobByte(image));
for (i=0; i < (ssize_t) image->colors; i++)
image->colormap[i].green=ScaleCharToQuantum((unsigned char)
ReadBlobByte(image));
for (i=0; i < (ssize_t) image->colors; i++)
image->colormap[i].blue=ScaleCharToQuantum((unsigned char)
ReadBlobByte(image));
image->matte=MagickFalse;
}
}
if ((image->depth == 1) && (image->storage_class != PseudoClass))
ThrowReaderException(CorruptImageError, "ImproperImageHeader");
has_merged_image=MagickTrue;
profile=(StringInfo *) NULL;
length=ReadBlobMSBLong(image);
if (length != 0)
{
unsigned char
*blocks;
/*
Image resources block.
*/
if (image->debug != MagickFalse)
(void) LogMagickEvent(CoderEvent,GetMagickModule(),
" reading image resource blocks - %.20g bytes",(double)
((MagickOffsetType) length));
if (length > GetBlobSize(image))
ThrowReaderException(CorruptImageError,"InsufficientImageDataInFile");
blocks=(unsigned char *) AcquireQuantumMemory((size_t) length,
sizeof(*blocks));
if (blocks == (unsigned char *) NULL)
ThrowReaderException(ResourceLimitError,"MemoryAllocationFailed");
count=ReadBlob(image,(size_t) length,blocks);
if ((count != (ssize_t) length) || (length < 4) ||
(LocaleNCompare((char *) blocks,"8BIM",4) != 0))
{
blocks=(unsigned char *) RelinquishMagickMemory(blocks);
ThrowReaderException(CorruptImageError,"ImproperImageHeader");
}
profile=ParseImageResourceBlocks(image,blocks,(size_t) length,
&has_merged_image);
blocks=(unsigned char *) RelinquishMagickMemory(blocks);
}
/*
Layer and mask block.
*/
length=GetPSDSize(&psd_info,image);
if (length == 8)
{
length=ReadBlobMSBLong(image);
length=ReadBlobMSBLong(image);
}
offset=TellBlob(image);
skip_layers=MagickFalse;
if ((image_info->number_scenes == 1) && (image_info->scene == 0) &&
(has_merged_image != MagickFalse))
{
if (image->debug != MagickFalse)
(void) LogMagickEvent(CoderEvent,GetMagickModule(),
" read composite only");
skip_layers=MagickTrue;
}
if (length == 0)
{
if (image->debug != MagickFalse)
(void) LogMagickEvent(CoderEvent,GetMagickModule(),
" image has no layers");
}
else
{
if (ReadPSDLayersInternal(image,image_info,&psd_info,skip_layers,
exception) != MagickTrue)
{
if (profile != (StringInfo *) NULL)
profile=DestroyStringInfo(profile);
(void) CloseBlob(image);
image=DestroyImageList(image);
return((Image *) NULL);
}
/*
Skip the rest of the layer and mask information.
*/
(void) SeekBlob(image,offset+length,SEEK_SET);
}
/*
If we are only "pinging" the image, then we're done - so return.
*/
if (EOFBlob(image) != MagickFalse)
{
if (profile != (StringInfo *) NULL)
profile=DestroyStringInfo(profile);
ThrowReaderException(CorruptImageError,"UnexpectedEndOfFile");
}
if (image_info->ping != MagickFalse)
{
if (profile != (StringInfo *) NULL)
profile=DestroyStringInfo(profile);
(void) CloseBlob(image);
return(GetFirstImageInList(image));
}
/*
Read the precombined layer, present for PSD < 4 compatibility.
*/
if (image->debug != MagickFalse)
(void) LogMagickEvent(CoderEvent,GetMagickModule(),
" reading the precombined layer");
imageListLength=GetImageListLength(image);
if (has_merged_image != MagickFalse || imageListLength == 1)
has_merged_image=(MagickBooleanType) ReadPSDMergedImage(image_info,image,
&psd_info,exception);
if ((has_merged_image == MagickFalse) && (imageListLength == 1) &&
(length != 0))
{
(void) SeekBlob(image,offset,SEEK_SET);
status=ReadPSDLayersInternal(image,image_info,&psd_info,MagickFalse,
exception);
if (status != MagickTrue)
{
if (profile != (StringInfo *) NULL)
profile=DestroyStringInfo(profile);
(void) CloseBlob(image);
image=DestroyImageList(image);
return((Image *) NULL);
}
}
if (has_merged_image == MagickFalse)
{
Image
*merged;
if (imageListLength == 1)
{
if (profile != (StringInfo *) NULL)
profile=DestroyStringInfo(profile);
ThrowReaderException(CorruptImageError,"InsufficientImageDataInFile");
}
image->background_color.opacity=TransparentOpacity;
(void) SetImageBackgroundColor(image);
merged=MergeImageLayers(image,FlattenLayer,exception);
ReplaceImageInList(&image,merged);
}
if (profile != (StringInfo *) NULL)
{
Image
*next;
next=image;
while (next != (Image *) NULL)
{
(void) SetImageProfile(next,GetStringInfoName(profile),profile);
next=next->next;
}
profile=DestroyStringInfo(profile);
}
(void) CloseBlob(image);
return(GetFirstImageInList(image));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% R e g i s t e r P S D I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% RegisterPSDImage() adds properties for the PSD image format to
% the list of supported formats. The properties include the image format
% tag, a method to read and/or write the format, whether the format
% supports the saving of more than one frame to the same file or blob,
% whether the format supports native in-memory I/O, and a brief
% description of the format.
%
% The format of the RegisterPSDImage method is:
%
% size_t RegisterPSDImage(void)
%
*/
ModuleExport size_t RegisterPSDImage(void)
{
MagickInfo
*entry;
entry=SetMagickInfo("PSB");
entry->decoder=(DecodeImageHandler *) ReadPSDImage;
entry->encoder=(EncodeImageHandler *) WritePSDImage;
entry->magick=(IsImageFormatHandler *) IsPSD;
entry->seekable_stream=MagickTrue;
entry->description=ConstantString("Adobe Large Document Format");
entry->module=ConstantString("PSD");
(void) RegisterMagickInfo(entry);
entry=SetMagickInfo("PSD");
entry->decoder=(DecodeImageHandler *) ReadPSDImage;
entry->encoder=(EncodeImageHandler *) WritePSDImage;
entry->magick=(IsImageFormatHandler *) IsPSD;
entry->seekable_stream=MagickTrue;
entry->description=ConstantString("Adobe Photoshop bitmap");
entry->module=ConstantString("PSD");
(void) RegisterMagickInfo(entry);
return(MagickImageCoderSignature);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% U n r e g i s t e r P S D I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% UnregisterPSDImage() removes format registrations made by the
% PSD module from the list of supported formats.
%
% The format of the UnregisterPSDImage method is:
%
% UnregisterPSDImage(void)
%
*/
ModuleExport void UnregisterPSDImage(void)
{
(void) UnregisterMagickInfo("PSB");
(void) UnregisterMagickInfo("PSD");
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% W r i t e P S D I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% WritePSDImage() writes an image in the Adobe Photoshop encoded image format.
%
% The format of the WritePSDImage method is:
%
% MagickBooleanType WritePSDImage(const ImageInfo *image_info,Image *image)
%
% A description of each parameter follows.
%
% o image_info: the image info.
%
% o image: The image.
%
*/
static inline ssize_t SetPSDOffset(const PSDInfo *psd_info,Image *image,
const size_t offset)
{
if (psd_info->version == 1)
return(WriteBlobMSBShort(image,(unsigned short) offset));
return(WriteBlobMSBLong(image,(unsigned int) offset));
}
static inline ssize_t WritePSDOffset(const PSDInfo *psd_info,Image *image,
const MagickSizeType size,const MagickOffsetType offset)
{
MagickOffsetType
current_offset;
ssize_t
result;
current_offset=TellBlob(image);
(void) SeekBlob(image,offset,SEEK_SET);
if (psd_info->version == 1)
result=WriteBlobMSBShort(image,(unsigned short) size);
else
result=WriteBlobMSBLong(image,(unsigned int) size);
(void) SeekBlob(image,current_offset,SEEK_SET);
return(result);
}
static inline ssize_t SetPSDSize(const PSDInfo *psd_info,Image *image,
const MagickSizeType size)
{
if (psd_info->version == 1)
return(WriteBlobMSBLong(image,(unsigned int) size));
return(WriteBlobMSBLongLong(image,size));
}
static inline ssize_t WritePSDSize(const PSDInfo *psd_info,Image *image,
const MagickSizeType size,const MagickOffsetType offset)
{
MagickOffsetType
current_offset;
ssize_t
result;
current_offset=TellBlob(image);
(void) SeekBlob(image,offset,SEEK_SET);
if (psd_info->version == 1)
result=WriteBlobMSBLong(image,(unsigned int) size);
else
result=WriteBlobMSBLongLong(image,size);
(void) SeekBlob(image,current_offset,SEEK_SET);
return(result);
}
static size_t PSDPackbitsEncodeImage(Image *image,const size_t length,
const unsigned char *pixels,unsigned char *compact_pixels)
{
int
count;
register ssize_t
i,
j;
register unsigned char
*q;
unsigned char
*packbits;
/*
Compress pixels with Packbits encoding.
*/
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(pixels != (unsigned char *) NULL);
assert(compact_pixels != (unsigned char *) NULL);
packbits=(unsigned char *) AcquireQuantumMemory(128UL,sizeof(*packbits));
if (packbits == (unsigned char *) NULL)
ThrowBinaryImageException(ResourceLimitError,"MemoryAllocationFailed",
image->filename);
q=compact_pixels;
for (i=(ssize_t) length; i != 0; )
{
switch (i)
{
case 1:
{
i--;
*q++=(unsigned char) 0;
*q++=(*pixels);
break;
}
case 2:
{
i-=2;
*q++=(unsigned char) 1;
*q++=(*pixels);
*q++=pixels[1];
break;
}
case 3:
{
i-=3;
if ((*pixels == *(pixels+1)) && (*(pixels+1) == *(pixels+2)))
{
*q++=(unsigned char) ((256-3)+1);
*q++=(*pixels);
break;
}
*q++=(unsigned char) 2;
*q++=(*pixels);
*q++=pixels[1];
*q++=pixels[2];
break;
}
default:
{
if ((*pixels == *(pixels+1)) && (*(pixels+1) == *(pixels+2)))
{
/*
Packed run.
*/
count=3;
while (((ssize_t) count < i) && (*pixels == *(pixels+count)))
{
count++;
if (count >= 127)
break;
}
i-=count;
*q++=(unsigned char) ((256-count)+1);
*q++=(*pixels);
pixels+=count;
break;
}
/*
Literal run.
*/
count=0;
while ((*(pixels+count) != *(pixels+count+1)) ||
(*(pixels+count+1) != *(pixels+count+2)))
{
packbits[count+1]=pixels[count];
count++;
if (((ssize_t) count >= (i-3)) || (count >= 127))
break;
}
i-=count;
*packbits=(unsigned char) (count-1);
for (j=0; j <= (ssize_t) count; j++)
*q++=packbits[j];
pixels+=count;
break;
}
}
}
*q++=(unsigned char) 128; /* EOD marker */
packbits=(unsigned char *) RelinquishMagickMemory(packbits);
return((size_t) (q-compact_pixels));
}
static size_t WriteCompressionStart(const PSDInfo *psd_info,Image *image,
const Image *next_image,const ssize_t channels)
{
ssize_t
i,
offset,
y;
if (next_image->compression == RLECompression)
{
offset=WriteBlobMSBShort(image,RLE);
for (i=0; i < channels; i++)
for (y=0; y < (ssize_t) next_image->rows; y++)
offset+=SetPSDOffset(psd_info,image,0);
}
#ifdef MAGICKCORE_ZLIB_DELEGATE
else if (next_image->compression == ZipCompression)
offset=WriteBlobMSBShort(image,ZipWithoutPrediction);
#endif
else
offset=WriteBlobMSBShort(image,Raw);
return((size_t) offset);
}
static size_t WritePSDChannel(const PSDInfo *psd_info,
const ImageInfo *image_info,Image *image,Image *next_image,
const QuantumType quantum_type, unsigned char *compact_pixels,
MagickOffsetType size_offset,const MagickBooleanType separate)
{
MagickBooleanType
monochrome;
QuantumInfo
*quantum_info;
register const PixelPacket
*p;
register ssize_t
i;
size_t
count,
length;
ssize_t
y;
unsigned char
*pixels;
#ifdef MAGICKCORE_ZLIB_DELEGATE
#define CHUNK 16384
int
flush,
level;
unsigned char
*compressed_pixels;
z_stream
stream;
compressed_pixels=(unsigned char *) NULL;
flush=Z_NO_FLUSH;
#endif
count=0;
if (separate != MagickFalse)
{
size_offset=TellBlob(image)+2;
count+=WriteCompressionStart(psd_info,image,next_image,1);
}
if (next_image->depth > 8)
next_image->depth=16;
monochrome=IsMonochromeImage(image,&image->exception) && (image->depth == 1)
? MagickTrue : MagickFalse;
quantum_info=AcquireQuantumInfo(image_info,next_image);
if (quantum_info == (QuantumInfo *) NULL)
return(0);
pixels=GetQuantumPixels(quantum_info);
#ifdef MAGICKCORE_ZLIB_DELEGATE
if (next_image->compression == ZipCompression)
{
compressed_pixels=(unsigned char *) AcquireQuantumMemory(CHUNK,
sizeof(*compressed_pixels));
if (compressed_pixels == (unsigned char *) NULL)
{
quantum_info=DestroyQuantumInfo(quantum_info);
return(0);
}
memset(&stream,0,sizeof(stream));
stream.data_type=Z_BINARY;
level=Z_DEFAULT_COMPRESSION;
if ((image_info->quality > 0 && image_info->quality < 10))
level=(int) image_info->quality;
if (deflateInit(&stream,level) != Z_OK)
{
quantum_info=DestroyQuantumInfo(quantum_info);
compressed_pixels=(unsigned char *) RelinquishMagickMemory(
compressed_pixels);
return(0);
}
}
#endif
for (y=0; y < (ssize_t) next_image->rows; y++)
{
p=GetVirtualPixels(next_image,0,y,next_image->columns,1,&image->exception);
if (p == (const PixelPacket *) NULL)
break;
length=ExportQuantumPixels(next_image,(CacheView *) NULL,quantum_info,
quantum_type,pixels,&image->exception);
if (monochrome != MagickFalse)
for (i=0; i < (ssize_t) length; i++)
pixels[i]=(~pixels[i]);
if (next_image->compression == RLECompression)
{
length=PSDPackbitsEncodeImage(image,length,pixels,compact_pixels);
count+=WriteBlob(image,length,compact_pixels);
size_offset+=WritePSDOffset(psd_info,image,length,size_offset);
}
#ifdef MAGICKCORE_ZLIB_DELEGATE
else if (next_image->compression == ZipCompression)
{
stream.avail_in=(uInt) length;
stream.next_in=(Bytef *) pixels;
if (y == (ssize_t) next_image->rows-1)
flush=Z_FINISH;
do {
stream.avail_out=(uInt) CHUNK;
stream.next_out=(Bytef *) compressed_pixels;
if (deflate(&stream,flush) == Z_STREAM_ERROR)
break;
length=(size_t) CHUNK-stream.avail_out;
if (length > 0)
count+=WriteBlob(image,length,compressed_pixels);
} while (stream.avail_out == 0);
}
#endif
else
count+=WriteBlob(image,length,pixels);
}
#ifdef MAGICKCORE_ZLIB_DELEGATE
if (next_image->compression == ZipCompression)
{
(void) deflateEnd(&stream);
compressed_pixels=(unsigned char *) RelinquishMagickMemory(
compressed_pixels);
}
#endif
quantum_info=DestroyQuantumInfo(quantum_info);
return(count);
}
static unsigned char *AcquireCompactPixels(Image *image)
{
size_t
packet_size;
unsigned char
*compact_pixels;
packet_size=image->depth > 8UL ? 2UL : 1UL;
compact_pixels=(unsigned char *) AcquireQuantumMemory((9*
image->columns)+1,packet_size*sizeof(*compact_pixels));
if (compact_pixels == (unsigned char *) NULL)
{
(void) ThrowMagickException(&image->exception,GetMagickModule(),
ResourceLimitError,"MemoryAllocationFailed","`%s'",
image->filename);
}
return(compact_pixels);
}
static ssize_t WritePSDChannels(const PSDInfo *psd_info,
const ImageInfo *image_info,Image *image,Image *next_image,
MagickOffsetType size_offset,const MagickBooleanType separate)
{
Image
*mask;
MagickOffsetType
rows_offset;
size_t
channels,
length,
offset_length;
ssize_t
count;
unsigned char
*compact_pixels;
count=0;
offset_length=0;
rows_offset=0;
compact_pixels=(unsigned char *) NULL;
if (next_image->compression == RLECompression)
{
compact_pixels=AcquireCompactPixels(next_image);
if (compact_pixels == (unsigned char *) NULL)
return(0);
}
channels=1;
if (separate == MagickFalse)
{
if (next_image->storage_class != PseudoClass)
{
if (IsGrayImage(next_image,&next_image->exception) == MagickFalse)
channels=(size_t) (next_image->colorspace == CMYKColorspace ?
4 : 3);
if (next_image->matte != MagickFalse)
channels++;
}
rows_offset=TellBlob(image)+2;
count+=WriteCompressionStart(psd_info,image,next_image,(ssize_t)
channels);
offset_length=(next_image->rows*(psd_info->version == 1 ? 2 : 4));
}
size_offset+=2;
if (next_image->storage_class == PseudoClass)
{
length=WritePSDChannel(psd_info,image_info,image,next_image,
IndexQuantum,compact_pixels,rows_offset,separate);
if (separate != MagickFalse)
size_offset+=WritePSDSize(psd_info,image,length,size_offset)+2;
else
rows_offset+=offset_length;
count+=length;
}
else
{
if (IsGrayImage(next_image,&next_image->exception) != MagickFalse)
{
length=WritePSDChannel(psd_info,image_info,image,next_image,
GrayQuantum,compact_pixels,rows_offset,separate);
if (separate != MagickFalse)
size_offset+=WritePSDSize(psd_info,image,length,size_offset)+2;
else
rows_offset+=offset_length;
count+=length;
}
else
{
if (next_image->colorspace == CMYKColorspace)
(void) NegateImage(next_image,MagickFalse);
length=WritePSDChannel(psd_info,image_info,image,next_image,
RedQuantum,compact_pixels,rows_offset,separate);
if (separate != MagickFalse)
size_offset+=WritePSDSize(psd_info,image,length,size_offset)+2;
else
rows_offset+=offset_length;
count+=length;
length=WritePSDChannel(psd_info,image_info,image,next_image,
GreenQuantum,compact_pixels,rows_offset,separate);
if (separate != MagickFalse)
size_offset+=WritePSDSize(psd_info,image,length,size_offset)+2;
else
rows_offset+=offset_length;
count+=length;
length=WritePSDChannel(psd_info,image_info,image,next_image,
BlueQuantum,compact_pixels,rows_offset,separate);
if (separate != MagickFalse)
size_offset+=WritePSDSize(psd_info,image,length,size_offset)+2;
else
rows_offset+=offset_length;
count+=length;
if (next_image->colorspace == CMYKColorspace)
{
length=WritePSDChannel(psd_info,image_info,image,next_image,
BlackQuantum,compact_pixels,rows_offset,separate);
if (separate != MagickFalse)
size_offset+=WritePSDSize(psd_info,image,length,size_offset)+2;
else
rows_offset+=offset_length;
count+=length;
}
}
if (next_image->matte != MagickFalse)
{
length=WritePSDChannel(psd_info,image_info,image,next_image,
AlphaQuantum,compact_pixels,rows_offset,separate);
if (separate != MagickFalse)
size_offset+=WritePSDSize(psd_info,image,length,size_offset)+2;
else
rows_offset+=offset_length;
count+=length;
}
}
compact_pixels=(unsigned char *) RelinquishMagickMemory(compact_pixels);
if (next_image->colorspace == CMYKColorspace)
(void) NegateImage(next_image,MagickFalse);
if (separate != MagickFalse)
{
const char
*property;
property=GetImageArtifact(next_image,"psd:opacity-mask");
if (property != (const char *) NULL)
{
mask=(Image *) GetImageRegistry(ImageRegistryType,property,
&image->exception);
if (mask != (Image *) NULL)
{
if (mask->compression == RLECompression)
{
compact_pixels=AcquireCompactPixels(mask);
if (compact_pixels == (unsigned char *) NULL)
return(0);
}
length=WritePSDChannel(psd_info,image_info,image,mask,
RedQuantum,compact_pixels,rows_offset,MagickTrue);
(void) WritePSDSize(psd_info,image,length,size_offset);
count+=length;
compact_pixels=(unsigned char *) RelinquishMagickMemory(
compact_pixels);
}
}
}
return(count);
}
static size_t WritePascalString(Image *image,const char *value,size_t padding)
{
size_t
count,
length;
register ssize_t
i;
/*
Max length is 255.
*/
count=0;
length=(strlen(value) > 255UL ) ? 255UL : strlen(value);
if (length == 0)
count+=WriteBlobByte(image,0);
else
{
count+=WriteBlobByte(image,(unsigned char) length);
count+=WriteBlob(image,length,(const unsigned char *) value);
}
length++;
if ((length % padding) == 0)
return(count);
for (i=0; i < (ssize_t) (padding-(length % padding)); i++)
count+=WriteBlobByte(image,0);
return(count);
}
static void WriteResolutionResourceBlock(Image *image)
{
double
x_resolution,
y_resolution;
unsigned short
units;
if (image->units == PixelsPerCentimeterResolution)
{
x_resolution=2.54*65536.0*image->x_resolution+0.5;
y_resolution=2.54*65536.0*image->y_resolution+0.5;
units=2;
}
else
{
x_resolution=65536.0*image->x_resolution+0.5;
y_resolution=65536.0*image->y_resolution+0.5;
units=1;
}
(void) WriteBlob(image,4,(const unsigned char *) "8BIM");
(void) WriteBlobMSBShort(image,0x03ED);
(void) WriteBlobMSBShort(image,0);
(void) WriteBlobMSBLong(image,16); /* resource size */
(void) WriteBlobMSBLong(image,(unsigned int) (x_resolution+0.5));
(void) WriteBlobMSBShort(image,units); /* horizontal resolution unit */
(void) WriteBlobMSBShort(image,units); /* width unit */
(void) WriteBlobMSBLong(image,(unsigned int) (y_resolution+0.5));
(void) WriteBlobMSBShort(image,units); /* vertical resolution unit */
(void) WriteBlobMSBShort(image,units); /* height unit */
}
static inline size_t WriteChannelSize(const PSDInfo *psd_info,Image *image,
const signed short channel)
{
ssize_t
count;
count=WriteBlobMSBSignedShort(image,channel);
count+=SetPSDSize(psd_info,image,0);
return((size_t) count);
}
static void RemoveICCProfileFromResourceBlock(StringInfo *bim_profile)
{
register const unsigned char
*p;
size_t
length;
unsigned char
*datum;
unsigned int
count,
long_sans;
unsigned short
id,
short_sans;
length=GetStringInfoLength(bim_profile);
if (length < 16)
return;
datum=GetStringInfoDatum(bim_profile);
for (p=datum; (p >= datum) && (p < (datum+length-16)); )
{
register unsigned char
*q;
q=(unsigned char *) p;
if (LocaleNCompare((const char *) p,"8BIM",4) != 0)
break;
p=PushLongPixel(MSBEndian,p,&long_sans);
p=PushShortPixel(MSBEndian,p,&id);
p=PushShortPixel(MSBEndian,p,&short_sans);
p=PushLongPixel(MSBEndian,p,&count);
if (id == 0x0000040f)
{
ssize_t
quantum;
quantum=PSDQuantum(count)+12;
if ((quantum >= 12) && (quantum < (ssize_t) length))
{
if ((q+quantum < (datum+length-16)))
(void) memmove(q,q+quantum,length-quantum-(q-datum));
SetStringInfoLength(bim_profile,length-quantum);
}
break;
}
p+=count;
if ((count & 0x01) != 0)
p++;
}
}
static void RemoveResolutionFromResourceBlock(StringInfo *bim_profile)
{
register const unsigned char
*p;
size_t
length;
unsigned char
*datum;
unsigned int
count,
long_sans;
unsigned short
id,
short_sans;
length=GetStringInfoLength(bim_profile);
if (length < 16)
return;
datum=GetStringInfoDatum(bim_profile);
for (p=datum; (p >= datum) && (p < (datum+length-16)); )
{
register unsigned char
*q;
ssize_t
cnt;
q=(unsigned char *) p;
if (LocaleNCompare((const char *) p,"8BIM",4) != 0)
return;
p=PushLongPixel(MSBEndian,p,&long_sans);
p=PushShortPixel(MSBEndian,p,&id);
p=PushShortPixel(MSBEndian,p,&short_sans);
p=PushLongPixel(MSBEndian,p,&count);
cnt=PSDQuantum(count);
if (cnt < 0)
return;
if ((id == 0x000003ed) && (cnt < (ssize_t) (length-12)) &&
((ssize_t) length-(cnt+12)-(q-datum)) > 0)
{
(void) memmove(q,q+cnt+12,length-(cnt+12)-(q-datum));
SetStringInfoLength(bim_profile,length-(cnt+12));
break;
}
p+=count;
if ((count & 0x01) != 0)
p++;
}
}
static const StringInfo *GetAdditionalInformation(const ImageInfo *image_info,
Image *image)
{
#define PSDKeySize 5
#define PSDAllowedLength 36
char
key[PSDKeySize];
/* Whitelist of keys from: https://www.adobe.com/devnet-apps/photoshop/fileformatashtml/ */
const char
allowed[PSDAllowedLength][PSDKeySize] = {
"blnc", "blwh", "brit", "brst", "clbl", "clrL", "curv", "expA", "FMsk",
"GdFl", "grdm", "hue ", "hue2", "infx", "knko", "lclr", "levl", "lnsr",
"lfx2", "luni", "lrFX", "lspf", "lyid", "lyvr", "mixr", "nvrt", "phfl",
"post", "PtFl", "selc", "shpa", "sn2P", "SoCo", "thrs", "tsly", "vibA"
},
*option;
const StringInfo
*info;
MagickBooleanType
found;
register size_t
i;
size_t
remaining_length,
length;
StringInfo
*profile;
unsigned char
*p;
unsigned int
size;
info=GetImageProfile(image,"psd:additional-info");
if (info == (const StringInfo *) NULL)
return((const StringInfo *) NULL);
option=GetImageOption(image_info,"psd:additional-info");
if (LocaleCompare(option,"all") == 0)
return(info);
if (LocaleCompare(option,"selective") != 0)
{
profile=RemoveImageProfile(image,"psd:additional-info");
return(DestroyStringInfo(profile));
}
length=GetStringInfoLength(info);
p=GetStringInfoDatum(info);
remaining_length=length;
length=0;
while (remaining_length >= 12)
{
/* skip over signature */
p+=4;
key[0]=(char) (*p++);
key[1]=(char) (*p++);
key[2]=(char) (*p++);
key[3]=(char) (*p++);
key[4]='\0';
size=(unsigned int) (*p++) << 24;
size|=(unsigned int) (*p++) << 16;
size|=(unsigned int) (*p++) << 8;
size|=(unsigned int) (*p++);
size=size & 0xffffffff;
remaining_length-=12;
if ((size_t) size > remaining_length)
return((const StringInfo *) NULL);
found=MagickFalse;
for (i=0; i < PSDAllowedLength; i++)
{
if (LocaleNCompare(key,allowed[i],PSDKeySize) != 0)
continue;
found=MagickTrue;
break;
}
remaining_length-=(size_t) size;
if (found == MagickFalse)
{
if (remaining_length > 0)
p=(unsigned char *) memmove(p-12,p+size,remaining_length);
continue;
}
length+=(size_t) size+12;
p+=size;
}
profile=RemoveImageProfile(image,"psd:additional-info");
if (length == 0)
return(DestroyStringInfo(profile));
SetStringInfoLength(profile,(const size_t) length);
(void) SetImageProfile(image,"psd:additional-info",info);
return(profile);
}
static MagickBooleanType WritePSDImage(const ImageInfo *image_info,
Image *image)
{
char
layer_name[MaxTextExtent];
const char
*property;
const StringInfo
*icc_profile,
*info;
Image
*base_image,
*next_image;
MagickBooleanType
status;
MagickOffsetType
*layer_size_offsets,
size_offset;
PSDInfo
psd_info;
register ssize_t
i;
size_t
layer_count,
layer_index,
length,
name_length,
num_channels,
packet_size,
rounded_size,
size;
StringInfo
*bim_profile;
/*
Open image file.
*/
assert(image_info != (const ImageInfo *) NULL);
assert(image_info->signature == MagickCoreSignature);
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
status=OpenBlob(image_info,image,WriteBinaryBlobMode,&image->exception);
if (status == MagickFalse)
return(status);
packet_size=(size_t) (image->depth > 8 ? 6 : 3);
if (image->matte != MagickFalse)
packet_size+=image->depth > 8 ? 2 : 1;
psd_info.version=1;
if ((LocaleCompare(image_info->magick,"PSB") == 0) ||
(image->columns > 30000) || (image->rows > 30000))
psd_info.version=2;
(void) WriteBlob(image,4,(const unsigned char *) "8BPS");
(void) WriteBlobMSBShort(image,psd_info.version); /* version */
for (i=1; i <= 6; i++)
(void) WriteBlobByte(image, 0); /* 6 bytes of reserved */
/* When the image has a color profile it won't be converted to gray scale */
if ((GetImageProfile(image,"icc") == (StringInfo *) NULL) &&
(SetImageGray(image,&image->exception) != MagickFalse))
num_channels=(image->matte != MagickFalse ? 2UL : 1UL);
else
if ((image_info->type != TrueColorType) && (image_info->type !=
TrueColorMatteType) && (image->storage_class == PseudoClass))
num_channels=(image->matte != MagickFalse ? 2UL : 1UL);
else
{
if (image->storage_class == PseudoClass)
(void) SetImageStorageClass(image,DirectClass);
if (image->colorspace != CMYKColorspace)
num_channels=(image->matte != MagickFalse ? 4UL : 3UL);
else
num_channels=(image->matte != MagickFalse ? 5UL : 4UL);
}
(void) WriteBlobMSBShort(image,(unsigned short) num_channels);
(void) WriteBlobMSBLong(image,(unsigned int) image->rows);
(void) WriteBlobMSBLong(image,(unsigned int) image->columns);
if (IsGrayImage(image,&image->exception) != MagickFalse)
{
MagickBooleanType
monochrome;
/*
Write depth & mode.
*/
monochrome=IsMonochromeImage(image,&image->exception) &&
(image->depth == 1) ? MagickTrue : MagickFalse;
(void) WriteBlobMSBShort(image,(unsigned short)
(monochrome != MagickFalse ? 1 : image->depth > 8 ? 16 : 8));
(void) WriteBlobMSBShort(image,(unsigned short)
(monochrome != MagickFalse ? BitmapMode : GrayscaleMode));
}
else
{
(void) WriteBlobMSBShort(image,(unsigned short) (image->storage_class ==
PseudoClass ? 8 : image->depth > 8 ? 16 : 8));
if (((image_info->colorspace != UndefinedColorspace) ||
(image->colorspace != CMYKColorspace)) &&
(image_info->colorspace != CMYKColorspace))
{
(void) TransformImageColorspace(image,sRGBColorspace);
(void) WriteBlobMSBShort(image,(unsigned short)
(image->storage_class == PseudoClass ? IndexedMode : RGBMode));
}
else
{
if (image->colorspace != CMYKColorspace)
(void) TransformImageColorspace(image,CMYKColorspace);
(void) WriteBlobMSBShort(image,CMYKMode);
}
}
if ((IsGrayImage(image,&image->exception) != MagickFalse) ||
(image->storage_class == DirectClass) || (image->colors > 256))
(void) WriteBlobMSBLong(image,0);
else
{
/*
Write PSD raster colormap.
*/
(void) WriteBlobMSBLong(image,768);
for (i=0; i < (ssize_t) image->colors; i++)
(void) WriteBlobByte(image,ScaleQuantumToChar(image->colormap[i].red));
for ( ; i < 256; i++)
(void) WriteBlobByte(image,0);
for (i=0; i < (ssize_t) image->colors; i++)
(void) WriteBlobByte(image,ScaleQuantumToChar(
image->colormap[i].green));
for ( ; i < 256; i++)
(void) WriteBlobByte(image,0);
for (i=0; i < (ssize_t) image->colors; i++)
(void) WriteBlobByte(image,ScaleQuantumToChar(image->colormap[i].blue));
for ( ; i < 256; i++)
(void) WriteBlobByte(image,0);
}
/*
Image resource block.
*/
length=28; /* 0x03EB */
bim_profile=(StringInfo *) GetImageProfile(image,"8bim");
icc_profile=GetImageProfile(image,"icc");
if (bim_profile != (StringInfo *) NULL)
{
bim_profile=CloneStringInfo(bim_profile);
if (icc_profile != (StringInfo *) NULL)
RemoveICCProfileFromResourceBlock(bim_profile);
RemoveResolutionFromResourceBlock(bim_profile);
length+=PSDQuantum(GetStringInfoLength(bim_profile));
}
if (icc_profile != (const StringInfo *) NULL)
length+=PSDQuantum(GetStringInfoLength(icc_profile))+12;
(void) WriteBlobMSBLong(image,(unsigned int) length);
WriteResolutionResourceBlock(image);
if (bim_profile != (StringInfo *) NULL)
{
(void) WriteBlob(image,GetStringInfoLength(bim_profile),
GetStringInfoDatum(bim_profile));
bim_profile=DestroyStringInfo(bim_profile);
}
if (icc_profile != (StringInfo *) NULL)
{
(void) WriteBlob(image,4,(const unsigned char *) "8BIM");
(void) WriteBlobMSBShort(image,0x0000040F);
(void) WriteBlobMSBShort(image,0);
(void) WriteBlobMSBLong(image,(unsigned int) GetStringInfoLength(
icc_profile));
(void) WriteBlob(image,GetStringInfoLength(icc_profile),
GetStringInfoDatum(icc_profile));
if ((ssize_t) GetStringInfoLength(icc_profile) !=
PSDQuantum(GetStringInfoLength(icc_profile)))
(void) WriteBlobByte(image,0);
}
base_image=GetNextImageInList(image);
if (base_image == (Image *)NULL)
base_image=image;
size=0;
size_offset=TellBlob(image);
(void) SetPSDSize(&psd_info,image,0);
(void) SetPSDSize(&psd_info,image,0);
layer_count=0;
for (next_image=base_image; next_image != NULL; )
{
layer_count++;
next_image=GetNextImageInList(next_image);
}
if (image->matte != MagickFalse)
size+=WriteBlobMSBShort(image,-(unsigned short) layer_count);
else
size+=WriteBlobMSBShort(image,(unsigned short) layer_count);
layer_size_offsets=(MagickOffsetType *) AcquireQuantumMemory(
(size_t) layer_count,sizeof(MagickOffsetType));
if (layer_size_offsets == (MagickOffsetType *) NULL)
ThrowWriterException(ResourceLimitError,"MemoryAllocationFailed");
layer_index=0;
for (next_image=base_image; next_image != NULL; )
{
Image
*mask;
unsigned char
default_color;
unsigned short
channels,
total_channels;
mask=(Image *) NULL;
property=GetImageArtifact(next_image,"psd:opacity-mask");
default_color=0;
if (property != (const char *) NULL)
{
mask=(Image *) GetImageRegistry(ImageRegistryType,property,
&image->exception);
default_color=(unsigned char) (strlen(property) == 9 ? 255 : 0);
}
size+=WriteBlobMSBLong(image,(unsigned int) next_image->page.y);
size+=WriteBlobMSBLong(image,(unsigned int) next_image->page.x);
size+=WriteBlobMSBLong(image,(unsigned int) (next_image->page.y+
next_image->rows));
size+=WriteBlobMSBLong(image,(unsigned int) (next_image->page.x+
next_image->columns));
channels=1;
if ((next_image->storage_class != PseudoClass) &&
(IsGrayImage(next_image,&next_image->exception) == MagickFalse))
channels=(unsigned short) (next_image->colorspace == CMYKColorspace ?
4 : 3);
total_channels=channels;
if (next_image->matte != MagickFalse)
total_channels++;
if (mask != (Image *) NULL)
total_channels++;
size+=WriteBlobMSBShort(image,total_channels);
layer_size_offsets[layer_index++]=TellBlob(image);
for (i=0; i < (ssize_t) channels; i++)
size+=WriteChannelSize(&psd_info,image,(signed short) i);
if (next_image->matte != MagickFalse)
size+=WriteChannelSize(&psd_info,image,-1);
if (mask != (Image *) NULL)
size+=WriteChannelSize(&psd_info,image,-2);
size+=WriteBlob(image,4,(const unsigned char *) "8BIM");
size+=WriteBlob(image,4,(const unsigned char *)
CompositeOperatorToPSDBlendMode(next_image));
property=GetImageArtifact(next_image,"psd:layer.opacity");
if (property != (const char *) NULL)
{
Quantum
opacity;
opacity=(Quantum) StringToInteger(property);
size+=WriteBlobByte(image,ScaleQuantumToChar(opacity));
(void) ApplyPSDLayerOpacity(next_image,opacity,MagickTrue,
&image->exception);
}
else
size+=WriteBlobByte(image,255);
size+=WriteBlobByte(image,0);
size+=WriteBlobByte(image,(unsigned char)
(next_image->compose == NoCompositeOp ? 1 << 0x02 : 1)); /* layer properties - visible, etc. */
size+=WriteBlobByte(image,0);
info=GetAdditionalInformation(image_info,next_image);
property=(const char *) GetImageProperty(next_image,"label");
if (property == (const char *) NULL)
{
(void) FormatLocaleString(layer_name,MaxTextExtent,"L%.20g",
(double) layer_index);
property=layer_name;
}
name_length=strlen(property)+1;
if ((name_length % 4) != 0)
name_length+=(4-(name_length % 4));
if (info != (const StringInfo *) NULL)
name_length+=GetStringInfoLength(info);
name_length+=8;
if (mask != (Image *) NULL)
name_length+=20;
size+=WriteBlobMSBLong(image,(unsigned int) name_length);
if (mask == (Image *) NULL)
size+=WriteBlobMSBLong(image,0);
else
{
if (mask->compose != NoCompositeOp)
(void) ApplyPSDOpacityMask(next_image,mask,ScaleCharToQuantum(
default_color),MagickTrue,&image->exception);
mask->page.y+=image->page.y;
mask->page.x+=image->page.x;
size+=WriteBlobMSBLong(image,20);
size+=WriteBlobMSBSignedLong(image,(const signed int) mask->page.y);
size+=WriteBlobMSBSignedLong(image,(const signed int) mask->page.x);
size+=WriteBlobMSBSignedLong(image,(const signed int) (mask->rows+
mask->page.y));
size+=WriteBlobMSBSignedLong(image,(const signed int) (mask->columns+
mask->page.x));
size+=WriteBlobByte(image,default_color);
size+=WriteBlobByte(image,(unsigned char) (
mask->compose == NoCompositeOp ? 2 : 0));
size+=WriteBlobMSBShort(image,0);
}
size+=WriteBlobMSBLong(image,0);
size+=WritePascalString(image,property,4);
if (info != (const StringInfo *) NULL)
size+=WriteBlob(image,GetStringInfoLength(info),GetStringInfoDatum(info));
next_image=GetNextImageInList(next_image);
}
/*
Now the image data!
*/
next_image=base_image;
layer_index=0;
while (next_image != NULL)
{
length=(size_t) WritePSDChannels(&psd_info,image_info,image,next_image,
layer_size_offsets[layer_index++],MagickTrue);
if (length == 0)
{
status=MagickFalse;
break;
}
size+=length;
next_image=GetNextImageInList(next_image);
}
(void) WriteBlobMSBLong(image,0); /* user mask data */
/*
Remove the opacity mask from the registry
*/
next_image=base_image;
while (next_image != (Image *) NULL)
{
property=GetImageArtifact(next_image,"psd:opacity-mask");
if (property != (const char *) NULL)
(void) DeleteImageRegistry(property);
next_image=GetNextImageInList(next_image);
}
/*
Write the total size
*/
size_offset+=WritePSDSize(&psd_info,image,size+
(psd_info.version == 1 ? 8 : 12),size_offset);
if ((size/2) != ((size+1)/2))
rounded_size=size+1;
else
rounded_size=size;
(void) WritePSDSize(&psd_info,image,rounded_size,size_offset);
layer_size_offsets=(MagickOffsetType *) RelinquishMagickMemory(
layer_size_offsets);
/*
Write composite image.
*/
if (status != MagickFalse)
{
CompressionType
compression;
compression=image->compression;
if (image->compression == ZipCompression)
image->compression=RLECompression;
if (WritePSDChannels(&psd_info,image_info,image,image,0,
MagickFalse) == 0)
status=MagickFalse;
image->compression=compression;
}
(void) CloseBlob(image);
return(status);
}
|
dcache.c | #include "papi.h"
#include "caches.h"
#include "prepareArray.h"
#include "timing_kernels.h"
#include "dcache.h"
typedef struct {
int *values;
double **rslts;
double **counter;
char *event_name;
int latency_only;
int mode;
} data_t;
extern int _papi_eventset;
int global_max_iter, global_line_size_in_bytes, global_pattern;
float global_pages_per_block;
int line_size;
int guessCount, min_size, max_size;
void d_cache_driver(char* papi_event_name, int max_iter, char* outdir, int latency_only, int mode, int show_progress)
{
int pattern = 3;
int ls = 64;
int test_cnt = 0;
float ppb = 16;
FILE *ofp_papi;
char *sufx, *papiFileName;
// Open file (pass handle to d_cache_test()).
if(CACHE_READ_WRITE == mode){
sufx = strdup(".data.writes");
}else{
sufx = strdup(".data.reads");
}
int l = strlen(outdir)+strlen(papi_event_name)+strlen(sufx);
papiFileName = (char *)calloc( 1+l, sizeof(char) );
if (!papiFileName) {
fprintf(stderr, "Unable to allocate memory. Skipping event %s.\n", papi_event_name);
goto error0;
}
if (l != (sprintf(papiFileName, "%s%s%s", outdir, papi_event_name, sufx))) {
fprintf(stderr, "sprintf error. Skipping event %s.\n", papi_event_name);
goto error1;
}
if (NULL == (ofp_papi = fopen(papiFileName,"w"))) {
fprintf(stderr, "Unable to open file %s. Skipping event %s.\n", papiFileName, papi_event_name);
goto error1;
}
// Go through each parameter variant.
for(pattern = 3; pattern <= 4; ++pattern)
{
for(ls = 64; ls <= 128; ls *= 2)
{
// PPB variation only makes sense if the pattern is not sequential.
if(pattern != 4)
{
for(ppb = 64; ppb >= 16; ppb -= 48)
{
if( show_progress )
{
printf("%3d%%\b\b\b\b",(100*test_cnt++)/6);
fflush(stdout);
}
d_cache_test(pattern, max_iter, ls, ppb, papi_event_name, latency_only, mode, ofp_papi);
}
}
else
{
if( show_progress )
{
printf("%3d%%\b\b\b\b",(100*test_cnt++)/6);
fflush(stdout);
}
d_cache_test(pattern, max_iter, ls, ppb, papi_event_name, latency_only, mode, ofp_papi);
}
}
}
if( show_progress )
{
size_t i;
printf("100%%");
for(i=0; i<strlen("Total:100% Current test:100%"); i++) putchar('\b');
fflush(stdout);
}
// Close files and free memory.
fclose(ofp_papi);
error1:
free(papiFileName);
error0:
free(sufx);
return;
}
void d_cache_test(int pattern, int max_iter, int line_size_in_bytes, float pages_per_block, char* papi_event_name, int latency_only, int mode, FILE* ofp){
int i,j;
int *values;
double **rslts, *sorted_rslts, *latencies;
double **counter, *sorted_counter;
int status;
// Replace this by modifying function header and global vars.
global_pattern = pattern;
global_max_iter = max_iter;
global_line_size_in_bytes = line_size_in_bytes;
global_pages_per_block = pages_per_block;
line_size = line_size_in_bytes/sizeof(uintptr_t);
min_size = 2*1024/sizeof(uintptr_t); // 2KB
max_size = 1024*1024*1024/sizeof(uintptr_t);// 1GB
// The number of different sizes we will guess, trying to find the right size.
guessCount = 0;
for(i=min_size; i<max_size; i*=2){
// += 4 for i, i*1.25, i*1.5, i*1.75
guessCount += 4;
}
rslts = (double **)malloc(max_iter*sizeof(double *));
for(i=0; i<max_iter; ++i){
rslts[i] = (double *)malloc(guessCount*sizeof(double));
}
sorted_rslts = (double *)malloc(max_iter*sizeof(double));
counter = (double **)malloc(max_iter*sizeof(double *));
for(i=0; i<max_iter; ++i){
counter[i] = (double *)malloc(guessCount*sizeof(double));
}
sorted_counter = (double *)malloc(max_iter*sizeof(double));
latencies = (double *)malloc(guessCount*sizeof(double));
values = (int *)malloc(guessCount*sizeof(int));
data_t data;
data.values = values;
data.rslts = rslts;
data.counter = counter;
data.event_name = papi_event_name;
data.latency_only = latency_only;
data.mode = mode;
// Run the pointer chases.
status = experiment_main(&data);
if( 0 != status ){
return;
}
for(j=0; j<guessCount; ++j){
for(i=0; i<max_iter; ++i){
sorted_rslts[i] = rslts[i][j];
}
qsort(sorted_rslts, max_iter, sizeof(double), compar_lf);
if(latency_only)
{
fprintf(ofp, "%d %.4lf\n", values[j], sorted_rslts[0]);
}
latencies[j] = sorted_rslts[0];
for(i=0; i<max_iter; ++i){
sorted_counter[i] = counter[i][j];
}
qsort(sorted_counter, max_iter, sizeof(double), compar_lf);
if(!latency_only)
{
fprintf(ofp, "%d %lf\n", values[j], sorted_counter[0]);
}
}
// Free dynamically allocated memory.
for(i=0; i<max_iter; ++i){
free(rslts[i]);
free(counter[i]);
}
free(rslts);
free(counter);
free(sorted_rslts);
free(sorted_counter);
free(latencies);
free(values);
return;
}
int experiment_main(void *arg){
int i, latency_only, mode;
int native, ret_val;
int *values;
double **rslts;
double **counter;
data_t *data;
int status = 0;
data = (data_t *)arg;
values = data->values;
rslts = data->rslts;
counter = data->counter;
latency_only = data->latency_only;
mode = data->mode;
if( !latency_only ){
_papi_eventset = PAPI_NULL;
/* Set the event */
ret_val = PAPI_create_eventset( &_papi_eventset );
if (ret_val != PAPI_OK ){
return -1;
}
ret_val = PAPI_event_name_to_code( data->event_name, &native );
if (ret_val != PAPI_OK ){
return -1;
}
ret_val = PAPI_add_event( _papi_eventset, native );
if (ret_val != PAPI_OK ){
return -1;
}
/* Done setting the event. */
}
for(i=0; i<global_max_iter; ++i){
status = varyBufferSizes(values, rslts[i], counter[i], global_line_size_in_bytes, global_pages_per_block, latency_only, mode);
}
if( !latency_only ){
ret_val = PAPI_cleanup_eventset(_papi_eventset);
if (ret_val != PAPI_OK ){
fprintf(stderr, "PAPI_cleanup_eventset() returned %d\n",ret_val);
return -1;
}
ret_val = PAPI_destroy_eventset(&_papi_eventset);
if (ret_val != PAPI_OK ){
fprintf(stderr, "PAPI_destroy_eventset() returned %d\n",ret_val);
return -1;
}
}
return status;
}
int varyBufferSizes(int *values, double *rslts, double *counter, int line_size_in_bytes, float pages_per_block, int latency_only, int mode){
int i, j, active_buf_len;
int ONT = 1;
int allocErr = 0;
run_output_t out;
// Get the number of threads.
#pragma omp parallel
{
if(!omp_get_thread_num()) {
ONT = omp_get_num_threads();
}
}
uintptr_t rslt=42, *v[ONT], *ptr[ONT];
// Allocate memory for each thread to traverse.
#pragma omp parallel
{
int idx = omp_get_thread_num();
ptr[idx] = (uintptr_t *)malloc( (2*max_size+line_size)*sizeof(uintptr_t) );
if( !ptr[idx] ){
fprintf(stderr, "Error: cannot allocate space for experiment.\n");
#pragma omp critical
{
allocErr = -1;
}
}
// align v to the line size
v[idx] = (uintptr_t *)(line_size_in_bytes*(((uintptr_t)ptr[idx]+line_size_in_bytes)/line_size_in_bytes));
// touch every page at least a few times
for(i=0; i<2*max_size; i+=512){
rslt += v[idx][i];
}
}
if(allocErr != 0)
{
return -1;
}
// Make a couple of cold runs
out = probeBufferSize(16*line_size, line_size, pages_per_block, ONT, v, &rslt, latency_only, mode);
out = probeBufferSize(2*16*line_size, line_size, pages_per_block, ONT, v, &rslt, latency_only, mode);
if(out.status != 0)
{
return -1;
}
// run the actual experiment
i = 0;
for(active_buf_len=min_size; active_buf_len<max_size; active_buf_len*=2){
usleep(1000);
out = probeBufferSize(active_buf_len, line_size, pages_per_block, ONT, v, &rslt, latency_only, mode);
rslts[i] = out.dt;
counter[i] = out.counter;
values[i++] = sizeof(uintptr_t)*active_buf_len;
usleep(1000);
out = probeBufferSize((int)((double)active_buf_len*1.25), line_size, pages_per_block, ONT, v, &rslt, latency_only, mode);
rslts[i] = out.dt;
counter[i] = out.counter;
values[i++] = sizeof(uintptr_t)*((int)((double)active_buf_len*1.25));
usleep(1000);
out = probeBufferSize((int)((double)active_buf_len*1.5), line_size, pages_per_block, ONT, v, &rslt, latency_only, mode);
rslts[i] = out.dt;
counter[i] = out.counter;
values[i++] = sizeof(uintptr_t)*((int)((double)active_buf_len*1.5));
usleep(1000);
out = probeBufferSize((int)((double)active_buf_len*1.75), line_size, pages_per_block, ONT, v, &rslt, latency_only, mode);
rslts[i] = out.dt;
counter[i] = out.counter;
values[i++] = sizeof(uintptr_t)*((int)((double)active_buf_len*1.75));
}
// Free each thread's memory.
for(j=0; j<ONT; ++j){
free(ptr[j]);
}
return 0;
}
|
xcfun_itrf.c | /* Copyright 2014-2018 The PySCF Developers. All Rights Reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
*
* Author: Qiming Sun <osirpt.sun@gmail.com>
*
* xcfun Library from
* https://github.com/dftlibs/xcfun
*/
#include <stdio.h>
#include <stdlib.h>
#include <assert.h>
#include <xcfun.h>
#include "config.h"
static int eval_xc(xc_functional fun, int deriv, enum xc_vars vars,
int np, int ncol, double *rho, double *output)
{
xc_eval_setup(fun, vars, XC_PARTIAL_DERIVATIVES, deriv);
assert(ncol == xc_input_length(fun));
int outlen = xc_output_length(fun);
//xc_eval_vec(fun, np, rho, ncol, output, outlen);
#pragma omp parallel default(none) \
shared(fun, rho, output, np, ncol, outlen)
{
int i;
#pragma omp for nowait schedule(static)
for (i=0; i < np; i++) {
xc_eval(fun, rho+i*ncol, output+i*outlen);
}
}
return outlen;
}
void XCFUN_eval_xc(int nfn, int *fn_id, double *fac,
int spin, int deriv, int np,
double *rho_u, double *rho_d, double *output)
{
int i, outlen;
double *rho;
double *gxu, *gyu, *gzu, *gxd, *gyd, *gzd, *tau_u, *tau_d;
const char *name;
xc_functional fun = xc_new_functional();
for (i = 0; i < nfn; i++) {
name = xc_enumerate_parameters(fn_id[i]);
xc_set(fun, name, fac[i]);
}
if (spin == 0) {
if (xc_is_metagga(fun)) {
rho = malloc(sizeof(double) * np*3);
gxu = rho_u + np;
gyu = rho_u + np * 2;
gzu = rho_u + np * 3;
tau_u = rho_u + np * 5;
for (i = 0; i < np; i++) {
rho[i*3+0] = rho_u[i];
rho[i*3+1] = gxu[i]*gxu[i] + gyu[i]*gyu[i] + gzu[i]*gzu[i];
rho[i*3+2] = tau_u[i];
}
outlen = eval_xc(fun, deriv, XC_N_GNN_TAUN, np, 3, rho, output);
free(rho);
} else if (xc_is_gga(fun)) {
rho = malloc(sizeof(double) * np*2);
gxu = rho_u + np;
gyu = rho_u + np * 2;
gzu = rho_u + np * 3;
for (i = 0; i < np; i++) {
rho[i*2+0] = rho_u[i];
rho[i*2+1] = gxu[i]*gxu[i] + gyu[i]*gyu[i] + gzu[i]*gzu[i];
}
outlen = eval_xc(fun, deriv, XC_N_GNN, np, 2, rho, output);
free(rho);
} else { // LDA
rho = rho_u;
outlen = eval_xc(fun, deriv, XC_N, np, 1, rho, output);
}
// xcfun computed rho*Exc[rho] for zeroth order deriviative instead of Exc[rho]
for (i = 0; i < np; i++) {
output[i*outlen] /= rho_u[i] + 1e-150;
}
} else {
if (xc_is_metagga(fun)) {
rho = malloc(sizeof(double) * np*7);
gxu = rho_u + np;
gyu = rho_u + np * 2;
gzu = rho_u + np * 3;
gxd = rho_d + np;
gyd = rho_d + np * 2;
gzd = rho_d + np * 3;
tau_u = rho_u + np * 5;
tau_d = rho_d + np * 5;
for (i = 0; i < np; i++) {
rho[i*7+0] = rho_u[i];
rho[i*7+1] = rho_d[i];
rho[i*7+2] = gxu[i]*gxu[i] + gyu[i]*gyu[i] + gzu[i]*gzu[i];
rho[i*7+3] = gxu[i]*gxd[i] + gyu[i]*gyd[i] + gzu[i]*gzd[i];
rho[i*7+4] = gxd[i]*gxd[i] + gyd[i]*gyd[i] + gzd[i]*gzd[i];
rho[i*7+5] = tau_u[i];
rho[i*7+6] = tau_d[i];
}
outlen = eval_xc(fun, deriv, XC_A_B_GAA_GAB_GBB_TAUA_TAUB, np, 7, rho, output);
free(rho);
} else if (xc_is_gga(fun)) {
rho = malloc(sizeof(double) * np*5);
gxu = rho_u + np;
gyu = rho_u + np * 2;
gzu = rho_u + np * 3;
gxd = rho_d + np;
gyd = rho_d + np * 2;
gzd = rho_d + np * 3;
for (i = 0; i < np; i++) {
rho[i*5+0] = rho_u[i];
rho[i*5+1] = rho_d[i];
rho[i*5+2] = gxu[i]*gxu[i] + gyu[i]*gyu[i] + gzu[i]*gzu[i];
rho[i*5+3] = gxu[i]*gxd[i] + gyu[i]*gyd[i] + gzu[i]*gzd[i];
rho[i*5+4] = gxd[i]*gxd[i] + gyd[i]*gyd[i] + gzd[i]*gzd[i];
}
outlen = eval_xc(fun, deriv, XC_A_B_GAA_GAB_GBB, np, 5, rho, output);
free(rho);
} else { // LDA
rho = malloc(sizeof(double) * np*2);
for (i = 0; i < np; i++) {
rho[i*2+0] = rho_u[i];
rho[i*2+1] = rho_d[i];
}
outlen = eval_xc(fun, deriv, XC_A_B, np, 2, rho, output);
free(rho);
}
for (i = 0; i < np; i++) {
output[i*outlen] /= rho_u[i] + rho_d[i] + 1e-150;
}
}
xc_free_functional(fun);
}
/*
* XC_LDA 0 // Local density
* XC_GGA 1 // Local density & gradient
* XC_MGGA 2 // Local density, gradient and kinetic energy density
*/
int XCFUN_xc_type(int fn_id)
{
xc_functional fun = xc_new_functional();
const char *name = xc_enumerate_parameters(fn_id);
xc_set(fun, name, 1.);
int type = 0;
if (xc_is_metagga(fun)) {
type = 2;
} else if (xc_is_gga(fun)) {
type = 1;
}
xc_free_functional(fun);
return type;
}
|
GB_unaryop__minv_int32_int32.c | //------------------------------------------------------------------------------
// GB_unaryop: hard-coded functions for each built-in unary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2020, All Rights Reserved.
// http://suitesparse.com See GraphBLAS/Doc/License.txt for license.
//------------------------------------------------------------------------------
// If this file is in the Generated/ folder, do not edit it (auto-generated).
#include "GB.h"
#ifndef GBCOMPACT
#include "GB_control.h"
#include "GB_iterator.h"
#include "GB_unaryop__include.h"
// C=unop(A) is defined by the following types and operators:
// op(A) function: GB_unop__minv_int32_int32
// op(A') function: GB_tran__minv_int32_int32
// C type: int32_t
// A type: int32_t
// cast: int32_t cij = (int32_t) aij
// unaryop: cij = GB_IMINV_SIGNED (aij, 32)
#define GB_ATYPE \
int32_t
#define GB_CTYPE \
int32_t
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA) \
int32_t aij = Ax [pA]
#define GB_CX(p) Cx [p]
// unary operator
#define GB_OP(z, x) \
z = GB_IMINV_SIGNED (x, 32) ;
// casting
#define GB_CASTING(z, aij) \
int32_t z = (int32_t) aij ;
// cij = op (cast (aij))
#define GB_CAST_OP(pC,pA) \
{ \
/* aij = Ax [pA] */ \
GB_GETA (aij, Ax, pA) ; \
/* Cx [pC] = op (cast (aij)) */ \
GB_CASTING (z, aij) ; \
GB_OP (GB_CX (pC), z) ; \
}
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_MINV || GxB_NO_INT32)
//------------------------------------------------------------------------------
// Cx = op (cast (Ax)): apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB_unop__minv_int32_int32
(
int32_t *Cx, // Cx and Ax may be aliased
int32_t *Ax,
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t p ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
GB_CAST_OP (p, p) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (cast (A')): transpose, typecast, and apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB_tran__minv_int32_int32
(
GrB_Matrix C,
const GrB_Matrix A,
int64_t *GB_RESTRICT *Rowcounts,
GBI_single_iterator Iter,
const int64_t *GB_RESTRICT A_slice,
int naslice
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#define GB_PHASE_2_OF_2
#include "GB_unaryop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
Sarray.c | // SW4 LICENSE
// # ----------------------------------------------------------------------
// # SW4 - Seismic Waves, 4th order
// # ----------------------------------------------------------------------
// # Copyright (c) 2013, Lawrence Livermore National Security, LLC.
// # Produced at the Lawrence Livermore National Laboratory.
// #
// # Written by:
// # N. Anders Petersson (petersson1@llnl.gov)
// # Bjorn Sjogreen (sjogreen2@llnl.gov)
// #
// # LLNL-CODE-643337
// #
// # All rights reserved.
// #
// # This file is part of SW4, Version: 1.0
// #
// # Please also read LICENCE.txt, which contains "Our Notice and GNU General Public License"
// #
// # This program is free software; you can redistribute it and/or modify
// # it under the terms of the GNU General Public License (as published by
// # the Free Software Foundation) version 2, dated June 1991.
// #
// # This program is distributed in the hope that it will be useful, but
// # WITHOUT ANY WARRANTY; without even the IMPLIED WARRANTY OF
// # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the terms and
// # conditions of the GNU General Public License for more details.
// #
// # You should have received a copy of the GNU General Public License
// # along with this program; if not, write to the Free Software
// # Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307, USA
#include "Sarray.h"
#include <iostream>
#include <cstdlib>
#include <fcntl.h>
#include <unistd.h>
using namespace std;
#include <hip/hip_runtime.h>
#include "EWCuda.h"
// Default value
bool Sarray::m_corder = false;
//-----------------------------------------------------------------------
Sarray::Sarray( int nc, int ibeg, int iend, int jbeg, int jend, int kbeg, int kend )
{
m_nc = nc;
m_ib = ibeg;
m_ie = iend;
m_jb = jbeg;
m_je = jend;
m_kb = kbeg;
m_ke = kend;
m_ni = m_ie-m_ib+1;
m_nj = m_je-m_jb+1;
m_nk = m_ke-m_kb+1;
if( m_nc*m_ni*m_nj*m_nk > 0 )
m_data = new float_sw4[m_nc*m_ni*m_nj*m_nk];
else
m_data = NULL;
// m_mpi_datatype_initialized = false;
dev_data = NULL;
define_offsets();
}
//-----------------------------------------------------------------------
Sarray::Sarray( int ibeg, int iend, int jbeg, int jend, int kbeg, int kend )
{
m_nc = 1;
m_ib = ibeg;
m_ie = iend;
m_jb = jbeg;
m_je = jend;
m_kb = kbeg;
m_ke = kend;
m_ni = m_ie-m_ib+1;
m_nj = m_je-m_jb+1;
m_nk = m_ke-m_kb+1;
if( m_nc*m_ni*m_nj*m_nk > 0 )
m_data = new float_sw4[m_nc*m_ni*m_nj*m_nk];
else
m_data = NULL;
// m_mpi_datatype_initialized = false;
dev_data = NULL;
define_offsets();
}
//-----------------------------------------------------------------------
Sarray::Sarray( int nc, int iend, int jend, int kend )
{
m_nc = nc;
m_ib = 1;
m_ie = iend;
m_jb = 1;
m_je = jend;
m_kb = 1;
m_ke = kend;
m_ni = m_ie-m_ib+1;
m_nj = m_je-m_jb+1;
m_nk = m_ke-m_kb+1;
if( m_nc*m_ni*m_nj*m_nk > 0 )
m_data = new float_sw4[m_nc*m_ni*m_nj*m_nk];
else
m_data = NULL;
// m_mpi_datatype_initialized = false;
dev_data = NULL;
define_offsets();
}
//-----------------------------------------------------------------------
Sarray::Sarray( int iend, int jend, int kend )
{
m_nc = 1;
m_ib = 1;
m_ie = iend;
m_jb = 1;
m_je = jend;
m_kb = 1;
m_ke = kend;
m_ni = m_ie-m_ib+1;
m_nj = m_je-m_jb+1;
m_nk = m_ke-m_kb+1;
if( m_nc*m_ni*m_nj*m_nk > 0 )
m_data = new float_sw4[m_nc*m_ni*m_nj*m_nk];
else
m_data = NULL;
// m_mpi_datatype_initialized = false;
dev_data = NULL;
define_offsets();
}
//-----------------------------------------------------------------------
Sarray::Sarray()
{
// m_mpi_datatype_initialized = false;
m_nc = m_ib = m_ie = m_jb = m_je = m_kb = m_ke = 0;
m_data = NULL;
dev_data = NULL;
}
//-----------------------------------------------------------------------
Sarray::Sarray( const Sarray& u )
{
m_nc = u.m_nc;
m_ib = u.m_ib;
m_ie = u.m_ie;
m_jb = u.m_jb;
m_je = u.m_je;
m_kb = u.m_kb;
m_ke = u.m_ke;
m_ni = m_ie-m_ib+1;
m_nj = m_je-m_jb+1;
m_nk = m_ke-m_kb+1;
if( m_nc*m_ni*m_nj*m_nk > 0 )
m_data = new float_sw4[m_nc*m_ni*m_nj*m_nk];
else
m_data = NULL;
dev_data = NULL;
define_offsets();
}
//-----------------------------------------------------------------------
Sarray::Sarray( Sarray& u, int nc )
{
if( nc == -1 )
m_nc = u.m_nc;
else
m_nc = nc;
m_ib = u.m_ib;
m_ie = u.m_ie;
m_jb = u.m_jb;
m_je = u.m_je;
m_kb = u.m_kb;
m_ke = u.m_ke;
m_ni = m_ie-m_ib+1;
m_nj = m_je-m_jb+1;
m_nk = m_ke-m_kb+1;
if( m_nc*m_ni*m_nj*m_nk > 0 )
m_data = new float_sw4[m_nc*m_ni*m_nj*m_nk];
else
m_data = NULL;
// m_mpi_datatype_initialized = false;
dev_data = NULL;
define_offsets();
}
//-----------------------------------------------------------------------
void Sarray::define( int nc, int iend, int jend, int kend )
{
if( m_data != NULL )
delete[] m_data;
m_nc = nc;
m_ib = 1;
m_ie = iend;
m_jb = 1;
m_je = jend;
m_kb = 1;
m_ke = kend;
m_ni = m_ie-m_ib+1;
m_nj = m_je-m_jb+1;
m_nk = m_ke-m_kb+1;
if( m_nc*m_ni*m_nj*m_nk > 0 )
m_data = new float_sw4[m_nc*m_ni*m_nj*m_nk];
else
m_data = NULL;
// m_mpi_datatype_initialized = false;
dev_data = NULL;
define_offsets();
}
//-----------------------------------------------------------------------
void Sarray::define( int iend, int jend, int kend )
{
if( m_data != NULL )
delete[] m_data;
m_nc = 1;
m_ib = 1;
m_ie = iend;
m_jb = 1;
m_je = jend;
m_kb = 1;
m_ke = kend;
m_ni = m_ie-m_ib+1;
m_nj = m_je-m_jb+1;
m_nk = m_ke-m_kb+1;
if( m_nc*m_ni*m_nj*m_nk > 0 )
m_data = new float_sw4[m_nc*m_ni*m_nj*m_nk];
else
m_data = NULL;
// m_mpi_datatype_initialized = false;
dev_data = NULL;
define_offsets();
}
//-----------------------------------------------------------------------
void Sarray::define( int nc, int ibeg, int iend, int jbeg, int jend, int kbeg,
int kend )
{
if( m_data != NULL )
delete[] m_data;
m_nc = nc;
m_ib = ibeg;
m_ie = iend;
m_jb = jbeg;
m_je = jend;
m_kb = kbeg;
m_ke = kend;
m_ni = m_ie-m_ib+1;
m_nj = m_je-m_jb+1;
m_nk = m_ke-m_kb+1;
if( m_nc*m_ni*m_nj*m_nk > 0 )
m_data = new float_sw4[m_nc*m_ni*m_nj*m_nk];
else
m_data = NULL;
dev_data = NULL;
define_offsets();
}
//-----------------------------------------------------------------------
void Sarray::define( int ibeg, int iend, int jbeg, int jend, int kbeg,
int kend )
{
if( m_data != NULL )
delete[] m_data;
m_nc = 1;
m_ib = ibeg;
m_ie = iend;
m_jb = jbeg;
m_je = jend;
m_kb = kbeg;
m_ke = kend;
m_ni = m_ie-m_ib+1;
m_nj = m_je-m_jb+1;
m_nk = m_ke-m_kb+1;
if( m_nc*m_ni*m_nj*m_nk > 0 )
m_data = new float_sw4[m_nc*m_ni*m_nj*m_nk];
else
m_data = NULL;
dev_data = NULL;
define_offsets();
}
//-----------------------------------------------------------------------
void Sarray::define( const Sarray& u )
{
if( m_data != NULL )
delete[] m_data;
m_nc = u.m_nc;
m_ib = u.m_ib;
m_ie = u.m_ie;
m_jb = u.m_jb;
m_je = u.m_je;
m_kb = u.m_kb;
m_ke = u.m_ke;
m_ni = m_ie-m_ib+1;
m_nj = m_je-m_jb+1;
m_nk = m_ke-m_kb+1;
if( m_nc*m_ni*m_nj*m_nk > 0 )
m_data = new float_sw4[m_nc*m_ni*m_nj*m_nk];
else
m_data = NULL;
dev_data = NULL;
define_offsets();
}
//-----------------------------------------------------------------------
void Sarray::intersection( int ib, int ie, int jb, int je, int kb, int ke, int wind[6] )
{
wind[0] = max(ib,m_ib);
wind[1] = min(ie,m_ie);
wind[2] = max(jb,m_jb);
wind[3] = min(je,m_je);
wind[4] = max(kb,m_kb);
wind[5] = min(ke,m_ke);
}
//-----------------------------------------------------------------------
// side_plane returns the index of the ghost points along side =0,1,2,3,4,5 (low-i, high-i, low-j, high-j, low-k, high-k)
void Sarray::side_plane( int side, int wind[6], int nGhost )
{
wind[0] = m_ib;
wind[1] = m_ie;
wind[2] = m_jb;
wind[3] = m_je;
wind[4] = m_kb;
wind[5] = m_ke;
if( side == 0 )
wind[1] = wind[0] + (nGhost-1);
else if( side == 1 )
wind[0] = wind[1] - (nGhost-1);
else if( side == 2 )
wind[3] = wind[2] + (nGhost-1);
else if( side == 3 )
wind[2] = wind[3] - (nGhost-1);
else if( side == 4 )
wind[5] = wind[4] + (nGhost-1);
else
wind[4] = wind[5] - (nGhost-1);
}
//-----------------------------------------------------------------------
void Sarray::side_plane_fortran( int side, int wind[6], int nGhost )
{
// Fortran arrays are base 1
wind[0] = 1;
wind[1] = m_ni;
wind[2] = 1;
wind[3] = m_nj;
wind[4] = 1;
wind[5] = m_nk;
if( side == 0 )
wind[1] = wind[0] + (nGhost-1);
else if( side == 1 )
wind[0] = wind[1] - (nGhost-1);
else if( side == 2 )
wind[3] = wind[2] + (nGhost-1);
else if( side == 3 )
wind[2] = wind[3] - (nGhost-1);
else if( side == 4 )
wind[5] = wind[4] + (nGhost-1);
else
wind[4] = wind[5] - (nGhost-1);
}
//-----------------------------------------------------------------------
void Sarray::set_to_zero()
{
#pragma omp parallel for
for( size_t i=0 ; i < m_npts ; i++ )
m_data[i] = 0;
}
//-----------------------------------------------------------------------
void Sarray::set_to_minusOne()
{
#pragma omp parallel for
for( size_t i=0 ; i < m_npts ; i++ )
m_data[i] = -1.;
}
//-----------------------------------------------------------------------
void Sarray::set_value( float_sw4 scalar )
{
#pragma omp parallel for
for( size_t i=0 ; i < m_npts ; i++ )
m_data[i] = scalar;
}
//-----------------------------------------------------------------------
void Sarray::set_to_random( float_sw4 llim, float_sw4 ulim )
{
// drand48 is not thread-safe; you will probably not get what you expect
#pragma omp parallel for
for( size_t i=0 ; i<m_npts ; i++ )
m_data[i] = llim + (ulim-llim)*drand48();
}
//-----------------------------------------------------------------------
bool Sarray::in_domain( int i, int j, int k )
{
return m_ib <= i && i <= m_ie && m_jb <= j && j <= m_je
&& m_kb <= k && k <= m_ke;
}
//-----------------------------------------------------------------------
float_sw4 Sarray::maximum( int c )
{
/// int cm = c-1;
// float_sw4 mx = m_data[cm];
// for( int i=0 ; i<m_ni*m_nj*m_nk ; i++ )
// mx = mx > m_data[cm+i*m_nc] ? mx : m_data[cm+i*m_nc];
// size_t first = m_base+m_offc*c+m_offi*m_ib+m_offj*m_jb+m_offk*m_kb;
size_t npts = static_cast<size_t>(m_ni)*m_nj*m_nk;
float_sw4 mx;
if( m_corder )
{
size_t first = (c-1)*npts;
mx = m_data[first];
#pragma omp parallel for reduction(max:mx)
for( int i=0 ; i<npts ; i++ )
mx = mx > m_data[first+i] ? mx : m_data[first+i];
}
else
{
size_t first = (c-1);
mx = m_data[first];
#pragma omp parallel for reduction(max:mx)
for( int i=0 ; i<npts ; i++ )
mx = mx > m_data[first+i*m_nc] ? mx : m_data[first+i*m_nc];
}
return mx;
}
//-----------------------------------------------------------------------
float_sw4 Sarray::minimum( int c )
{
// int cm = c-1;
// float_sw4 mn = m_data[cm];
// for( int i=0 ; i<m_ni*m_nj*m_nk ; i++ )
// mn = mn < m_data[cm+i*m_nc] ? mn : m_data[cm+i*m_nc];
size_t npts = static_cast<size_t>(m_ni)*m_nj*m_nk;
float_sw4 mn;
if( m_corder )
{
size_t first = (c-1)*npts;
mn = m_data[first];
#pragma omp parallel for reduction(min:mn)
for( int i=0 ; i<npts ; i++ )
mn = mn < m_data[first+i] ? mn : m_data[first+i];
}
else
{
size_t first = (c-1);
mn = m_data[first];
#pragma omp parallel for reduction(min:mn)
for( int i=0 ; i<npts ; i++ )
mn = mn < m_data[first+i*m_nc] ? mn : m_data[first+i*m_nc];
}
return mn;
}
//-----------------------------------------------------------------------
float_sw4 Sarray::sum( int c )
{
// int cm = c-1;
// float_sw4 s = 0;
// for( int i=0 ; i<m_ni*m_nj*m_nk ; i++ )
// s += m_data[cm+i*m_nc];
// size_t first = m_base+m_offc*c+m_offi*m_ib+m_offj*m_jb+m_offk*m_kb;
size_t npts = static_cast<size_t>(m_ni)*m_nj*m_nk;
float_sw4 s = 0;
if( m_corder )
{
size_t first = (c-1)*npts;
#pragma omp parallel for reduction(+:s)
for( int i=0 ; i<npts ; i++ )
s += m_data[first+i];
}
else
{
size_t first = (c-1);
#pragma omp parallel for reduction(+:s)
for( int i=0 ; i<npts ; i++ )
s += m_data[first+i*m_nc];
}
return s;
}
//-----------------------------------------------------------------------
size_t Sarray::count_nans()
{
size_t retval = 0;
size_t npts = m_nc*m_ni*static_cast<size_t>(m_nj)*m_nk;
#pragma omp parallel for reduction(+:retval)
for( size_t ind = 0; ind < npts ; ind++)
if( std::isnan(m_data[ind]) )
retval++;
return retval;
}
//-----------------------------------------------------------------------
size_t Sarray::count_nans( int& cfirst, int& ifirst, int& jfirst, int& kfirst )
{
cfirst = ifirst = jfirst = kfirst = 0;
size_t retval = 0, ind=0;
// Note: you're going to get various threads racing to set the "first" values. This won't work.
#pragma omp parallel for reduction(+:retval)
for( int k=m_kb ; k<=m_ke ; k++ )
for( int j=m_jb ; j<=m_je ; j++ )
for( int i=m_ib ; i <= m_ie ; i++ )
for( int c=1 ; c <= m_nc ; c++ )
{
if( std::isnan(m_data[ind]) )
{
if( retval == 0 )
{
ifirst = i;
jfirst = j;
kfirst = k;
cfirst = c;
}
retval++;
}
ind++;
}
return retval;
}
//-----------------------------------------------------------------------
void Sarray::copy( const Sarray& u )
{
if( m_data != NULL )
delete[] m_data;
m_nc = u.m_nc;
m_ib = u.m_ib;
m_ie = u.m_ie;
m_jb = u.m_jb;
m_je = u.m_je;
m_kb = u.m_kb;
m_ke = u.m_ke;
m_ni = m_ie-m_ib+1;
m_nj = m_je-m_jb+1;
m_nk = m_ke-m_kb+1;
if( m_nc*m_ni*m_nj*m_nk > 0 )
{
m_data = new float_sw4[m_nc*m_ni*m_nj*m_nk];
#pragma omp parallel for
for( int i=0 ; i < m_nc*m_ni*m_nj*m_nk ; i++ )
m_data[i] = u.m_data[i];
}
else
m_data = NULL;
define_offsets();
}
//-----------------------------------------------------------------------
void Sarray::extract_subarray( int ib, int ie, int jb, int je, int kb,
int ke, float_sw4* ar )
{
// Assuming nc is the same for m_data and subarray ar.
int nis = ie-ib+1;
int njs = je-jb+1;
// int nks = ke-kb+1;
size_t sind=0, ind=0;
for( int k=kb ; k<=ke ; k++ )
for( int j=jb ; j<=je ; j++ )
for( int i=ib ; i <= ie ; i++ )
{
sind = (i-ib) + nis*(j-jb) + nis*njs*(k-kb);
ind = (i-m_ib) + m_ni*(j-m_jb) + m_ni*m_nj*(k-m_kb);
for( int c=1 ; c <= m_nc ; c++ )
ar[sind*m_nc+c-1] = m_data[ind*m_nc+c-1];
}
}
//-----------------------------------------------------------------------
void Sarray::insert_subarray( int ib, int ie, int jb, int je, int kb,
int ke, double* ar )
{
// Assuming nc is the same for m_data and subarray ar.
int nis = ie-ib+1;
int njs = je-jb+1;
// int nks = ke-kb+1;
size_t sind=0, ind=0;
for( int k=kb ; k<=ke ; k++ )
for( int j=jb ; j<=je ; j++ )
for( int i=ib ; i <= ie ; i++ )
{
sind = (i-ib) + nis*(j-jb) + nis*njs*(k-kb);
ind = (i-m_ib) + m_ni*(j-m_jb) + m_ni*m_nj*(k-m_kb);
for( int c=1 ; c <= m_nc ; c++ )
m_data[ind*m_nc+c-1] = ar[sind*m_nc+c-1];
}
}
//-----------------------------------------------------------------------
void Sarray::insert_subarray( int ib, int ie, int jb, int je, int kb,
int ke, float* ar )
{
// Assuming nc is the same for m_data and subarray ar.
int nis = ie-ib+1;
int njs = je-jb+1;
// int nks = ke-kb+1;
size_t sind=0, ind=0;
for( int k=kb ; k<=ke ; k++ )
for( int j=jb ; j<=je ; j++ )
for( int i=ib ; i <= ie ; i++ )
{
sind = (i-ib) + nis*(j-jb) + nis*njs*(k-kb);
ind = (i-m_ib) + m_ni*(j-m_jb) + m_ni*m_nj*(k-m_kb);
for( int c=1 ; c <= m_nc ; c++ )
m_data[ind*m_nc+c-1] = (float_sw4)ar[sind*m_nc+c-1];
}
}
//-----------------------------------------------------------------------
void Sarray::save_to_disk( const char* fname )
{
int fd = open(fname, O_CREAT | O_TRUNC | O_WRONLY, 0660 );
if( fd == -1 )
std::cout << "ERROR opening file" << fname << " for writing " << std::endl;
size_t nr = write(fd,&m_nc,sizeof(int));
if( nr != sizeof(int) )
std::cout << "Error saving nc to " << fname << std::endl;
nr = write(fd,&m_ni,sizeof(int));
if( nr != sizeof(int) )
std::cout << "Error saving ni to " << fname << std::endl;
nr = write(fd,&m_nj,sizeof(int));
if( nr != sizeof(int) )
std::cout << "Error saving nj to " << fname << std::endl;
nr = write(fd,&m_nk,sizeof(int));
if( nr != sizeof(int) )
std::cout << "Error saving nk to " << fname << std::endl;
size_t npts = m_nc*( (size_t)m_ni)*m_nj*( (size_t)m_nk);
if( m_corder )
{
float_sw4* ar = new float_sw4[npts];
for( int k = 0 ; k < m_nk ; k++ )
for( int j = 0 ; j < m_nj ; j++ )
for( int i = 0 ; i < m_ni ; i++ )
for( int c=0 ; c < m_nc ; c++ )
ar[c+m_nc*i+m_nc*m_ni*j+m_nc*m_ni*m_nj*k] = m_data[i+m_ni*j+m_ni*m_nj*k+m_ni*m_nj*m_nk*c];
nr = write(fd,ar,sizeof(float_sw4)*npts);
delete[] ar;
}
else
nr = write(fd,m_data,sizeof(float_sw4)*npts);
if( nr != sizeof(float_sw4)*npts )
std::cout << "Error saving data array to " << fname << std::endl;
close(fd);
}
//-----------------------------------------------------------------------
void Sarray::assign( const float_sw4* ar, int corder )
{
if( corder == m_corder || corder == -1 )
{
// Both arrays in the same order
#pragma omp parallel for
for( size_t i=0 ; i < m_ni*((size_t) m_nj)*m_nk*m_nc ; i++ )
m_data[i] = ar[i];
}
else if( m_corder )
{
// Class array in corder, input array in fortran order,
#pragma omp parallel for
for( int i=0 ; i <m_ni ; i++ )
for( int j=0 ; j <m_nj ; j++ )
for( int k=0 ; k <m_nk ; k++ )
for( int c=0 ; c < m_nc ; c++ )
m_data[i+m_ni*j+m_ni*m_nj*k+m_ni*m_nj*m_nk*c] = ar[c+m_nc*i+m_nc*m_ni*j+m_nc*m_ni*m_nj*k];
}
else
{
// Class array in fortran order, input array in corder,
#pragma omp parallel for
for( int i=0 ; i <m_ni ; i++ )
for( int j=0 ; j <m_nj ; j++ )
for( int k=0 ; k <m_nk ; k++ )
for( int c=0 ; c < m_nc ; c++ )
m_data[c+m_nc*i+m_nc*m_ni*j+m_nc*m_ni*m_nj*k] = ar[i+m_ni*j+m_ni*m_nj*k+m_ni*m_nj*m_nk*c];
}
}
//-----------------------------------------------------------------------
void Sarray::assign( const float* ar )
{
#pragma omp parallel for
for( size_t i=0 ; i < m_ni*((size_t) m_nj)*m_nk*m_nc ; i++ )
m_data[i] = (float_sw4) ar[i];
}
//-----------------------------------------------------------------------
void Sarray::define_offsets()
{
m_npts = static_cast<size_t>(m_ni)*m_nj*m_nk*m_nc;
if( m_corder )
{
// (i,j,k,c)=i-ib+ni*(j-jb)+ni*nj*(k-kb)+ni*nj*nk*(c-1)
m_base = -m_ib-m_ni*m_jb-m_ni*m_nj*m_kb-m_ni*m_nj*m_nk;
m_offc = m_ni*m_nj*m_nk;
m_offi = 1;
m_offj = m_ni;
m_offk = m_ni*m_nj;
// Can use zero based array internally in class, i.e.,
// (i,j,k,c) = i + ni*j+ni*nj*k+ni*nj*nk*c
}
else
{
// (c,i,j,k)=c-1+nc*(i-ib)+nc*ni*(j-jb)+nc*ni*nj*(k-kb)
m_base = -1-m_nc*m_ib-m_nc*m_ni*m_jb-m_nc*m_ni*m_nj*m_kb;
m_offc = 1;
m_offi = m_nc;
m_offj = m_nc*m_ni;
m_offk = m_nc*m_ni*m_nj;
// Can use zero based array internally in class, i.e.,
// (i,j,k,c) = c + nc*i + nc*ni*j+nc*ni*nj*k
}
}
//-----------------------------------------------------------------------
void Sarray::transposeik( )
{
// Transpose a_{i,j,k} := a_{k,j,i}
float_sw4* tmpar = new float_sw4[m_nc*m_ni*m_nj*m_nk];
if( m_corder )
{
size_t npts = static_cast<size_t>(m_ni)*m_nj*m_nk;
#pragma omp parallel for
for( int i=0 ; i <m_ni ; i++ )
for( int j=0 ; j <m_nj ; j++ )
for( int k=0 ; k <m_nk ; k++ )
{
size_t ind = i + m_ni*j + m_ni*m_nj*k;
size_t indr = k + m_nk*j + m_nk*m_nj*i;
for( int c=0 ; c < m_nc ; c++ )
tmpar[npts*c+ind] = m_data[npts*c+indr];
}
}
else
{
#pragma omp parallel for
for( int i=0 ; i <m_ni ; i++ )
for( int j=0 ; j <m_nj ; j++ )
for( int k=0 ; k <m_nk ; k++ )
{
size_t ind = i + m_ni*j + m_ni*m_nj*k;
size_t indr = k + m_nk*j + m_nk*m_nj*i;
for( int c=0 ; c < m_nc ; c++ )
tmpar[c+m_nc*ind] = m_data[c+m_nc*indr];
}
}
#pragma omp parallel for
for( size_t i=0 ; i < m_ni*((size_t) m_nj)*m_nk*m_nc ; i++ )
m_data[i] = tmpar[i];
delete[] tmpar;
}
//-----------------------------------------------------------------------
void Sarray::copy_to_device( EWCuda* cu, bool async, int st )
{
if( cu->has_gpu() )
{
hipError_t retcode;
if( dev_data == NULL )
{
retcode = hipMalloc( (void**)&dev_data, m_ni*((size_t) m_nj)*m_nk*m_nc*sizeof(float_sw4) );
if( retcode != hipSuccess )
cout << "Error Sarray::copy_to_device, hipMalloc returned " <<
hipGetErrorString(retcode) << endl;
}
if( !async )
{
retcode = hipMemcpy( dev_data, m_data, m_ni*((size_t) m_nj)*m_nk*m_nc*sizeof(float_sw4),
hipMemcpyHostToDevice );
if( retcode != hipSuccess )
{
cout << "Error Sarray::copy_to_device, hipMemcpy returned " <<
hipGetErrorString(retcode) << endl;
exit(2);
}
}
else
{
if( st < cu->m_nstream )
{
retcode = hipMemcpyAsync( dev_data, m_data, m_ni*((size_t) m_nj)*m_nk*m_nc*sizeof(float_sw4),
hipMemcpyHostToDevice, cu->m_stream[st] );
if( retcode != hipSuccess )
cout << "Error Sarray::copy_to_device, hipMemcpyAsync returned " <<
hipGetErrorString(retcode) << endl;
}
else
cout << "Error Sarray::copy_to_device, stream number " << st << " does not exist " << endl;
}
}
}
//-----------------------------------------------------------------------
void Sarray::copy_from_device( EWCuda* cu, bool async, int st )
{
if( cu->has_gpu() )
{
hipError_t retcode;
if( dev_data == NULL )
cout << "Error Sarray::copy_from_device: Device memory is not allocated " << endl;
if( !async )
{
retcode = hipMemcpy( m_data, dev_data, m_ni*((size_t) m_nj)*m_nk*m_nc*sizeof(float_sw4),
hipMemcpyDeviceToHost );
if( retcode != hipSuccess )
{
cout << "Error Sarray::copy_from_device, hipMemcpy returned " <<
hipGetErrorString(retcode) << endl;
exit(2);
}
}
else
{
if( st < cu->m_nstream )
{
retcode =hipMemcpyAsync( m_data, dev_data, m_ni*((size_t) m_nj)*m_nk*m_nc*sizeof(float_sw4),
hipMemcpyDeviceToHost, cu->m_stream[st] );
if( retcode != hipSuccess )
cout << "Error Sarray::copy_from_device, hipMemcpyAsync returned " <<
hipGetErrorString(retcode) << endl;
}
else
cout << "Error Sarray::copy_from_device, stream number " << st << " does not exist " << endl;
}
}
}
//-----------------------------------------------------------------------
void Sarray::allocate_on_device( EWCuda* cu )
{
if( cu->has_gpu() )
{
hipError_t retcode;
if( dev_data != NULL )
{
retcode = hipFree(dev_data);
if( retcode != hipSuccess )
cout << "Error Sarray::allocate_on_device, hipFree returned " <<
hipGetErrorString(retcode) << endl;
}
retcode = hipMalloc( (void**)&dev_data, m_ni*((size_t) m_nj)*m_nk*m_nc*sizeof(float_sw4) );
if( retcode != hipSuccess )
cout << "Error Sarray::allocate_on_device, hipMalloc returned " <<
hipGetErrorString(retcode) << endl;
}
}
//-----------------------------------------------------------------------
void Sarray::page_lock( EWCuda* cu )
{
if( cu->has_gpu() )
{
hipError_t retcode;
retcode = hipHostRegister( m_data, m_ni*((size_t) m_nj)*m_nk*m_nc*sizeof(float_sw4),
hipHostRegisterDefault );
if( retcode != hipSuccess )
cout << "Error Sarray::page_lock, hipHostRegister returned " <<
hipGetErrorString(retcode) << endl;
}
}
//-----------------------------------------------------------------------
void Sarray::page_unlock( EWCuda* cu )
{
if( cu->has_gpu() )
{
hipError_t retcode;
retcode = hipHostUnregister( m_data );
if( retcode != hipSuccess )
cout << "Error Sarray::page_unlock, hipHostUnregister returned " <<
hipGetErrorString(retcode) << endl;
}
}
//-----------------------------------------------------------------------
size_t Sarray::check_match_cpu_gpu( EWCuda* cu, string name )
{
size_t retval = 0;
size_t npts = m_nc*m_ni*static_cast<size_t>(m_nj)*m_nk;
size_t nsize_bytes = npts*sizeof(double);
double* m_data_test;
hipError_t retcode;
if( npts > 0 )
m_data_test = new double [npts];
else
m_data_test = NULL;
if(m_data_test == NULL)
{
cout << name << " error: no allocaiton to m_data_test " << endl;
exit(-1);
}
if(m_data == NULL)
{
cout << name << " error: no allocaiton to m_data " << endl;
exit(-1);
}
if(dev_data == NULL)
{
cout << name << " error: no allocaiton to dev_data " << endl;
exit(-1);
}
retcode = hipMemcpy( m_data_test, dev_data, nsize_bytes, hipMemcpyDeviceToHost );
if( hipSuccess != retcode )
{
if( m_data_test != NULL)
delete[] m_data_test;
cout << name << " error Sarray:: check_match_cpu_gpu (*), hipMemcpy returned " << hipGetErrorString(retcode) << endl;
exit(-1);
}
for( size_t ind = 0; ind < npts; ind++ )
{
if( fabs(m_data[ind] - m_data_test[ind]) >= (1.0e-4) )
retval++;
}
if( m_data_test != NULL)
delete[] m_data_test;
return retval;
}
//-----------------------------------------------------------------------
size_t Sarray::check_match_cpu_gpu( EWCuda* cu, int& cfirst, int& ifirst, int& jfirst, int& kfirst , string name )
{
size_t retval;
size_t npts = m_nc*m_ni*static_cast<size_t>(m_nj)*m_nk;
size_t nsize_bytes = npts*sizeof(double);
double* m_data_test;
hipError_t retcode;
if( npts > 0 )
m_data_test = new double[npts];
else
m_data_test = NULL;
if(m_data_test == NULL)
{
cout << name << " error: no allocaiton to m_data_test " << endl;
exit(-1);
}
if(m_data == NULL)
{
cout << name << " error: no allocaiton to m_data " << endl;
exit(-1);
}
if(dev_data == NULL)
{
cout << name << " error: no allocaiton to dev_data " << endl;
exit(-1);
}
retcode = hipMemcpy( m_data_test, dev_data, nsize_bytes, hipMemcpyDeviceToHost );
if( retcode != hipSuccess )
{
cout << name << " error Sarray:: check_match_cpu_gpu(*,*,*,*) : hipMemcpy returned" << hipGetErrorString(retcode) << endl;
exit(-1);
}
cfirst = ifirst = jfirst = kfirst = 0;
size_t ind=0;
retval = 0;
for( int k=m_kb ; k<=m_ke ; k++ )
for( int j=m_jb ; j<=m_je ; j++ )
for( int i=m_ib ; i <= m_ie ; i++ )
for( int c=1 ; c <= m_nc ; c++ )
{
if( abs(m_data[ind] - m_data_test[ind]) >= (1.0e-4) )
{
if( retval == 0 )
{
ifirst = i;
jfirst = j;
kfirst = k;
cfirst = c;
}
retval++;
}
ind++;
}
delete[] m_data_test;
return retval;
}
//-----------------------------------------------------------------------
Sarray* Sarray::create_copy_on_device( EWCuda* cu )
{
copy_to_device(cu);
Sarray* dev_array;
hipError_t retcode = hipMalloc( (void**)&dev_array,sizeof(Sarray));
if( retcode != hipSuccess )
cout << "Error creating Sarray on device. retval = " << hipGetErrorString(retcode) << endl;
retcode = hipMemcpy(dev_array,this,sizeof(Sarray),hipMemcpyHostToDevice);
if( retcode != hipSuccess )
cout << "Error create_copy Sarray to device. retval = " << hipGetErrorString(retcode) << endl;
return dev_array;
}
|
GB_binop__times_uint16.c | //------------------------------------------------------------------------------
// GB_binop: hard-coded functions for each built-in binary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2021, All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
//------------------------------------------------------------------------------
// If this file is in the Generated2/ folder, do not edit it
// (it is auto-generated from Generator/*).
#include "GB.h"
#ifndef GBCOMPACT
#include "GB_emult.h"
#include "GB_control.h"
#include "GB_ek_slice.h"
#include "GB_dense.h"
#include "GB_atomics.h"
#include "GB_bitmap_assign_methods.h"
#include "GB_binop__include.h"
// C=binop(A,B) is defined by the following types and operators:
// A+B function (eWiseAdd): GB (_AaddB__times_uint16)
// A.*B function (eWiseMult): GB (_AemultB_01__times_uint16)
// A.*B function (eWiseMult): GB (_AemultB_02__times_uint16)
// A.*B function (eWiseMult): GB (_AemultB_03__times_uint16)
// A.*B function (eWiseMult): GB (_AemultB_bitmap__times_uint16)
// A*D function (colscale): GB (_AxD__times_uint16)
// D*A function (rowscale): GB (_DxB__times_uint16)
// C+=B function (dense accum): GB (_Cdense_accumB__times_uint16)
// C+=b function (dense accum): GB (_Cdense_accumb__times_uint16)
// C+=A+B function (dense ewise3): GB (_Cdense_ewise3_accum__times_uint16)
// C=A+B function (dense ewise3): GB (_Cdense_ewise3_noaccum__times_uint16)
// C=scalar+B GB (_bind1st__times_uint16)
// C=scalar+B' GB (_bind1st_tran__times_uint16)
// C=A+scalar GB (_bind2nd__times_uint16)
// C=A'+scalar GB (_bind2nd_tran__times_uint16)
// C type: uint16_t
// A type: uint16_t
// B,b type: uint16_t
// BinaryOp: cij = (aij * bij)
#define GB_ATYPE \
uint16_t
#define GB_BTYPE \
uint16_t
#define GB_CTYPE \
uint16_t
// true if the types of A and B are identical
#define GB_ATYPE_IS_BTYPE \
1
// true if the types of C and A are identical
#define GB_CTYPE_IS_ATYPE \
1
// true if the types of C and B are identical
#define GB_CTYPE_IS_BTYPE \
1
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA,A_iso) \
uint16_t aij = GBX (Ax, pA, A_iso)
// bij = Bx [pB]
#define GB_GETB(bij,Bx,pB,B_iso) \
uint16_t bij = GBX (Bx, pB, B_iso)
// declare scalar of the same type as C
#define GB_CTYPE_SCALAR(t) \
uint16_t t
// cij = Ax [pA]
#define GB_COPY_A_TO_C(cij,Ax,pA,A_iso) \
cij = GBX (Ax, pA, A_iso)
// cij = Bx [pB]
#define GB_COPY_B_TO_C(cij,Bx,pB,B_iso) \
cij = GBX (Bx, pB, B_iso)
#define GB_CX(p) Cx [p]
// binary operator
#define GB_BINOP(z,x,y,i,j) \
z = (x * y) ;
// true if the binop must be flipped
#define GB_BINOP_FLIP \
0
// op is second
#define GB_OP_IS_SECOND \
0
// do the numerical phases of GB_add and GB_emult
#define GB_PHASE_2_OF_2
// hard-coded loops can be vectorized
#define GB_PRAGMA_SIMD_VECTORIZE GB_PRAGMA_SIMD
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_TIMES || GxB_NO_UINT16 || GxB_NO_TIMES_UINT16)
//------------------------------------------------------------------------------
// C += A+B, all 3 matrices dense
//------------------------------------------------------------------------------
// The op must be MIN, MAX, PLUS, MINUS, RMINUS, TIMES, DIV, or RDIV.
void GB (_Cdense_ewise3_accum__times_uint16)
(
GrB_Matrix C,
const GrB_Matrix A,
const GrB_Matrix B,
const int nthreads
)
{
#include "GB_dense_ewise3_accum_template.c"
}
//------------------------------------------------------------------------------
// C = A+B, all 3 matrices dense
//------------------------------------------------------------------------------
GrB_Info GB (_Cdense_ewise3_noaccum__times_uint16)
(
GrB_Matrix C,
const GrB_Matrix A,
const GrB_Matrix B,
const int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_dense_ewise3_noaccum_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C += B, accumulate a sparse matrix into a dense matrix
//------------------------------------------------------------------------------
GrB_Info GB (_Cdense_accumB__times_uint16)
(
GrB_Matrix C,
const GrB_Matrix B,
const int64_t *B_ek_slicing, const int B_ntasks, const int B_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
{
#include "GB_dense_subassign_23_template.c"
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C += b, accumulate a scalar into a dense matrix
//------------------------------------------------------------------------------
GrB_Info GB (_Cdense_accumb__times_uint16)
(
GrB_Matrix C,
const GB_void *p_bwork,
const int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
{
// get the scalar b for C += b, of type uint16_t
uint16_t bwork = (*((uint16_t *) p_bwork)) ;
#include "GB_dense_subassign_22_template.c"
return (GrB_SUCCESS) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = A*D, column scale with diagonal D matrix
//------------------------------------------------------------------------------
GrB_Info GB (_AxD__times_uint16)
(
GrB_Matrix C,
const GrB_Matrix A, bool A_is_pattern,
const GrB_Matrix D, bool D_is_pattern,
const int64_t *A_ek_slicing, const int A_ntasks, const int A_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
uint16_t *restrict Cx = (uint16_t *) C->x ;
#include "GB_AxB_colscale_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = D*B, row scale with diagonal D matrix
//------------------------------------------------------------------------------
GrB_Info GB (_DxB__times_uint16)
(
GrB_Matrix C,
const GrB_Matrix D, bool D_is_pattern,
const GrB_Matrix B, bool B_is_pattern,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
uint16_t *restrict Cx = (uint16_t *) C->x ;
#include "GB_AxB_rowscale_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseAdd: C = A+B or C<M> = A+B
//------------------------------------------------------------------------------
GrB_Info GB (_AaddB__times_uint16)
(
GrB_Matrix C,
const int C_sparsity,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const bool Ch_is_Mh,
const int64_t *restrict C_to_M,
const int64_t *restrict C_to_A,
const int64_t *restrict C_to_B,
const GB_task_struct *restrict TaskList,
const int C_ntasks,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
GB_WERK_DECLARE (M_ek_slicing, int64_t) ;
GB_WERK_DECLARE (A_ek_slicing, int64_t) ;
GB_WERK_DECLARE (B_ek_slicing, int64_t) ;
#include "GB_add_template.c"
GB_FREE_WORK ;
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C = A.*B or C<M> = A.*B
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_01__times_uint16)
(
GrB_Matrix C,
const int C_sparsity,
const int ewise_method,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *restrict C_to_M,
const int64_t *restrict C_to_A,
const int64_t *restrict C_to_B,
const GB_task_struct *restrict TaskList,
const int C_ntasks,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_emult_01_meta.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C<#> = A.*B when A is sparse/hyper and B is bitmap/full
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_02__times_uint16)
(
GrB_Matrix C,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const bool flipxy,
const int64_t *restrict Cp_kfirst,
const int64_t *A_ek_slicing, const int A_ntasks, const int A_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#if GB_BINOP_FLIP
// The operator is not commutative, and does not have a flipped
// variant. For example z=atan2(y,x).
if (flipxy)
{
// use fmult(y,x)
#undef GB_FLIPPED
#define GB_FLIPPED 1
#include "GB_emult_02_template.c"
}
else
{
// use fmult(x,y)
#undef GB_FLIPPED
#define GB_FLIPPED 0
#include "GB_emult_02_template.c"
}
#else
// No need to handle the flip: the operator is either commutative, or
// has been handled by changing z=div(y,x) to z=rdiv(x,y) for example.
#undef GB_FLIPPED
#define GB_FLIPPED 0
#include "GB_emult_02_template.c"
#endif
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C<M> = A.*B, M sparse/hyper, A and B bitmap/full
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_03__times_uint16)
(
GrB_Matrix C,
const GrB_Matrix M,
const bool Mask_struct,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *restrict Cp_kfirst,
const int64_t *M_ek_slicing, const int M_ntasks, const int M_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_emult_03_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C=A.*B, C<M>=A.*B, C<!M>=A.*B where C is bitmap
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_bitmap__times_uint16)
(
GrB_Matrix C,
const int ewise_method,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *M_ek_slicing, const int M_ntasks, const int M_nthreads,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_bitmap_emult_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// Cx = op (x,Bx): apply a binary operator to a matrix with scalar bind1st
//------------------------------------------------------------------------------
GrB_Info GB (_bind1st__times_uint16)
(
GB_void *Cx_output, // Cx and Bx may be aliased
const GB_void *x_input,
const GB_void *Bx_input,
const int8_t *restrict Bb,
int64_t bnz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
uint16_t *Cx = (uint16_t *) Cx_output ;
uint16_t x = (*((uint16_t *) x_input)) ;
uint16_t *Bx = (uint16_t *) Bx_input ;
int64_t p ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < bnz ; p++)
{
if (!GBB (Bb, p)) continue ;
uint16_t bij = GBX (Bx, p, false) ;
Cx [p] = (x * bij) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// Cx = op (Ax,y): apply a binary operator to a matrix with scalar bind2nd
//------------------------------------------------------------------------------
GrB_Info GB (_bind2nd__times_uint16)
(
GB_void *Cx_output, // Cx and Ax may be aliased
const GB_void *Ax_input,
const GB_void *y_input,
const int8_t *restrict Ab,
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t p ;
uint16_t *Cx = (uint16_t *) Cx_output ;
uint16_t *Ax = (uint16_t *) Ax_input ;
uint16_t y = (*((uint16_t *) y_input)) ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
if (!GBB (Ab, p)) continue ;
uint16_t aij = GBX (Ax, p, false) ;
Cx [p] = (aij * y) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (x, A'): transpose and apply a binary operator
//------------------------------------------------------------------------------
// cij = op (x, aij), no typecasting (in spite of the macro name)
#undef GB_CAST_OP
#define GB_CAST_OP(pC,pA) \
{ \
uint16_t aij = GBX (Ax, pA, false) ; \
Cx [pC] = (x * aij) ; \
}
GrB_Info GB (_bind1st_tran__times_uint16)
(
GrB_Matrix C,
const GB_void *x_input,
const GrB_Matrix A,
int64_t *restrict *Workspaces,
const int64_t *restrict A_slice,
int nworkspaces,
int nthreads
)
{
// GB_unop_transpose.c uses GB_ATYPE, but A is
// the 2nd input to binary operator z=f(x,y).
#undef GB_ATYPE
#define GB_ATYPE \
uint16_t
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
uint16_t x = (*((const uint16_t *) x_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
#undef GB_ATYPE
#define GB_ATYPE \
uint16_t
}
//------------------------------------------------------------------------------
// C = op (A', y): transpose and apply a binary operator
//------------------------------------------------------------------------------
// cij = op (aij, y), no typecasting (in spite of the macro name)
#undef GB_CAST_OP
#define GB_CAST_OP(pC,pA) \
{ \
uint16_t aij = GBX (Ax, pA, false) ; \
Cx [pC] = (aij * y) ; \
}
GrB_Info GB (_bind2nd_tran__times_uint16)
(
GrB_Matrix C,
const GrB_Matrix A,
const GB_void *y_input,
int64_t *restrict *Workspaces,
const int64_t *restrict A_slice,
int nworkspaces,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
uint16_t y = (*((const uint16_t *) y_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
ompbound.c | // note not doing O0 below as to ensure we get tbaa
// RUN: if [ %llvmver -ge 9 ]; then %clang -fopenmp -std=c11 -O1 -fno-vectorize -fno-unroll-loops -disable-llvm-optzns %s -S -emit-llvm -o - | %opt - %loadEnzyme -enzyme -S | %clang -fopenmp -x ir - -o %s.out && %s.out; fi
// RUN: if [ %llvmver -ge 9 ]; then %clang -fopenmp -std=c11 -O1 -fno-vectorize -fno-unroll-loops %s -S -emit-llvm -o - | %opt - %loadEnzyme -enzyme -S | %clang -fopenmp -x ir - -o %s.out && %s.out ; fi
// RUN: if [ %llvmver -ge 9 ]; then %clang -fopenmp -std=c11 -O2 -fno-vectorize -fno-unroll-loops %s -S -emit-llvm -o - | %opt - %loadEnzyme -enzyme -S | %clang -fopenmp -x ir - -o %s.out && %s.out ; fi
// RUN: if [ %llvmver -ge 9 ]; then %clang -fopenmp -std=c11 -O3 -fno-vectorize -fno-unroll-loops %s -S -emit-llvm -o - | %opt - %loadEnzyme -enzyme -S | %clang -fopenmp -x ir - -o %s.out && %s.out ; fi
// note not doing O0 below as to ensure we get tbaa
// RUN: if [ %llvmver -ge 9 ]; then %clang -fopenmp -std=c11 -O1 -fno-vectorize -fno-unroll-loops -Xclang -disable-llvm-optzns %s -S -emit-llvm -o - | %opt - %loadEnzyme -enzyme -enzyme-inline=1 -S | %clang -fopenmp -x ir - -o %s.out && %s.out; fi
// RUN: if [ %llvmver -ge 9 ]; then %clang -fopenmp -std=c11 -O1 -fno-vectorize -fno-unroll-loops %s -S -emit-llvm -o - | %opt - %loadEnzyme -enzyme -enzyme-inline=1 -S | %clang -fopenmp -x ir - -o %s.out && %s.out ; fi
// RUN: if [ %llvmver -ge 9 ]; then %clang -fopenmp -std=c11 -O2 -fno-vectorize -fno-unroll-loops %s -S -emit-llvm -o - | %opt - %loadEnzyme -enzyme -enzyme-inline=1 -S | %clang -fopenmp -x ir - -o %s.out && %s.out ; fi
// RUN: if [ %llvmver -ge 9 ]; then %clang -fopenmp -std=c11 -O3 -fno-vectorize -fno-unroll-loops %s -S -emit-llvm -o - | %opt - %loadEnzyme -enzyme -enzyme-inline=1 -S | %clang -fopenmp -x ir - -o %s.out && %s.out ; fi
#include <stdio.h>
#include <math.h>
#include <assert.h>
#include "test_utils.h"
double __enzyme_autodiff(void*, ...);
/*
void omp(float& a, int N) {
#define N 20
#pragma omp parallel for
for (int i=0; i<N; i++) {
//a[i] *= a[i];
(&a)[i] *= (&a)[i];
}
#undef N
(&a)[0] = 0;
}
*/
void omp(float* a, int N) {
#pragma omp parallel for
for (int i=0; i<N; i++) {
//a[i] *= a[i];
a[i] *= a[i];
}
a[0] = 0;
}
int main(int argc, char** argv) {
int N = 20;
float a[N];
for(int i=0; i<N; i++) {
a[i] = i+1;
}
float d_a[N];
for(int i=0; i<N; i++)
d_a[i] = 1.0f;
//omp(*a, N);
printf("ran omp\n");
__enzyme_autodiff((void*)omp, a, d_a, N);
for(int i=0; i<N; i++) {
printf("a[%d]=%f d_a[%d]=%f\n", i, a[i], i, d_a[i]);
}
//APPROX_EQ(da, 17711.0*2, 1e-10);
//APPROX_EQ(db, 17711.0*2, 1e-10);
//printf("hello! %f, res2 %f, da: %f, db: %f\n", ret, ret, da,db);
APPROX_EQ(d_a[0], 0.0f, 1e-10);
for(int i=1; i<N; i++) {
APPROX_EQ(d_a[i], 2.0f*(i+1), 1e-10);
}
return 0;
}
|
test.c |
#include <stdio.h>
#include <omp.h>
#include "../utilities/check.h"
#include "../utilities/utilities.h"
// enable tests
#define FULL 0
#define FULL_ZERO 1 /* use zero ptrs */
#define FULL_S 0 /* need struct support */
#define OFFSET 0
#define OFFSET_S 0 /* need struct support */
#define N (992)
#define INIT() INIT_LOOP(N, {A[i] = 0; C[i] = 1; D[i] = i; E[i] = -i; s1.A[i] = 0; s1.C[i] = 1; s1.D[i] = i; s1.E[i] = -i; })
typedef struct S {
double A[N], B[N], C[N], D[N], E[N];
double *pA, *pB, *pC, *pD, *pE;
} S;
int main(void){
#if FULL !=0 && FULL_ZERO != 0 && FULL_S != 0 && OFFSET != 0 && OFFSET_S != 0
check_offloading();
#endif
int fail;
double A[N], B[N], C[N], D[N], E[N];
double *pA, *pB, *pC, *pD, *pE;
S s1;
// map ptrs
pA = &A[0];
pB = &B[0];
pC = &C[0];
pD = &D[0];
pE = &E[0];
s1.pA = &s1.A[0];
s1.pB = &s1.B[0];
s1.pC = &s1.C[0];
s1.pD = &s1.D[0];
s1.pE = &s1.E[0];
#if FULL
//
// Test: Execute on device (full extend)
//
INIT();
#pragma omp target device(1) map(from: pA[0:N]) map(to: pC[0:N]) map(pD[0:N])
{
#pragma omp parallel for schedule(static,1)
for (int i = 0; i < 992; i++)
pA[i] = pC[i] + pD[i] + omp_is_initial_device();
}
// CHECK: Succeeded
fail = 0;
VERIFY(0, N, A[i], (double)(i+1));
if (fail) {
printf ("Test full extent: Failed\n");
} else {
printf ("Test full extent: Succeeded\n");
}
#endif
#if FULL_ZERO
//
// Test: Execute on device (full extend)
//
INIT();
#pragma omp target data map(from: pA[0:N]) map(to: pC[0:N]) map(pD[0:N]) device(1)
{
#pragma omp target device(1) // implicit zero ptr
{
#pragma omp parallel for schedule(static,1)
for (int i = 0; i < 992; i++)
pA[i] = pC[i] + pD[i] + omp_is_initial_device();
}
}
// CHECK: Succeeded
fail = 0;
VERIFY(0, N, A[i], (double)(i+1));
if (fail) {
printf ("Test full extent with zero length ptrs: Failed\n");
} else {
printf ("Test full extent with zero length ptrs: Succeeded\n");
}
#endif
#if FULL_S
//
// Test: Execute on device (full extend
//
INIT();
#pragma omp target device(1) map(s1) map(from: s1.pA[0:N]) map(to: s1.pC[0:N]) map(s1.pD[0:N])
{
#pragma omp parallel for schedule(static,1)
for (int i = 0; i < 992; i++)
s1.pA[i] = s1.pC[i] + s1.pD[i] + omp_is_initial_device();
}
// CHECK: Succeeded
fail = 0;
VERIFY(0, N, s1.A[i], (double)(i+1));
if (fail) {
printf ("Test full extent struct: Failed\n");
} else {
printf ("Test full extent struct: Succeeded\n");
}
#endif
#if OFFSET
//
// Test: Execute on device (with offsets)
//
pA = pA - 100;
pC = pC - 200;
pD = pD - 300;
INIT();
#pragma omp target device(1) map(from: pA[100:N]) map(to: pC[200:N]) map(pD[300:N])
{
#pragma omp parallel for schedule(static,1)
for (int i = 0; i < 992; i++)
pA[i] = pC[i] + pD[i] + omp_is_initial_device();
}
// CHECK: Succeeded
fail = 0;
VERIFY(0, N, A[i], (double)(i+1));
if (fail) {
printf ("Test3: Failed\n");
} else {
printf ("Test3: Succeeded\n");
}
#endif
#if OFFSET_S
//
// Test: Execute on device (full extend
//
s1.pA = s1.pA - 100;
s1.pC = s1.pC - 200;
s1.pD = s1.pD - 300;
INIT();
#pragma omp target device(1) map(s1) map(from: s1.pA[100:N]) map(to: s1.pC[200:N]) map(s1.pD[300:N])
{
#pragma omp parallel for schedule(static,1)
for (int i = 0; i < 992; i++)
s1.pA[i] = s1.pC[i] + s1.pD[i] + omp_is_initial_device();
}
// CHECK: Succeeded
fail = 0;
VERIFY(0, N, s1.A[i], (double)(i+1));
if (fail) {
printf ("Test full extent struct: Failed\n");
} else {
printf ("Test full extent struct: Succeeded\n");
}
#endif
return 0;
}
|
GB_unop__acosh_fp64_fp64.c | //------------------------------------------------------------------------------
// GB_unop: hard-coded functions for each built-in unary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2022, All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
//------------------------------------------------------------------------------
// If this file is in the Generated2/ folder, do not edit it
// (it is auto-generated from Generator/*).
#include "GB.h"
#ifndef GBCOMPACT
#include "GB_control.h"
#include "GB_atomics.h"
#include "GB_unop__include.h"
// C=unop(A) is defined by the following types and operators:
// op(A) function: GB (_unop_apply__acosh_fp64_fp64)
// op(A') function: GB (_unop_tran__acosh_fp64_fp64)
// C type: double
// A type: double
// cast: double cij = aij
// unaryop: cij = acosh (aij)
#define GB_ATYPE \
double
#define GB_CTYPE \
double
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA) \
double aij = Ax [pA]
#define GB_CX(p) Cx [p]
// unary operator
#define GB_OP(z, x) \
z = acosh (x) ;
// casting
#define GB_CAST(z, aij) \
double z = aij ;
// cij = op (aij)
#define GB_CAST_OP(pC,pA) \
{ \
/* aij = Ax [pA] */ \
double aij = Ax [pA] ; \
/* Cx [pC] = op (cast (aij)) */ \
double z = aij ; \
Cx [pC] = acosh (z) ; \
}
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_ACOSH || GxB_NO_FP64)
//------------------------------------------------------------------------------
// Cx = op (cast (Ax)): apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB (_unop_apply__acosh_fp64_fp64)
(
double *Cx, // Cx and Ax may be aliased
const double *Ax,
const int8_t *restrict Ab, // A->b if A is bitmap
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t p ;
if (Ab == NULL)
{
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
double aij = Ax [p] ;
double z = aij ;
Cx [p] = acosh (z) ;
}
}
else
{
// bitmap case, no transpose; A->b already memcpy'd into C->b
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
if (!Ab [p]) continue ;
double aij = Ax [p] ;
double z = aij ;
Cx [p] = acosh (z) ;
}
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (cast (A')): transpose, typecast, and apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB (_unop_tran__acosh_fp64_fp64)
(
GrB_Matrix C,
const GrB_Matrix A,
int64_t *restrict *Workspaces,
const int64_t *restrict A_slice,
int nworkspaces,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
spark-integration.h | #ifndef __SPARK_INTEGRATION_H
#define __SPARK_INTEGRATION_H
#include <mpi.h>
#include <vector>
#include <cstring>
#include <functional>
#include <cassert>
#include <sstream>
#include <fstream>
#include <sys/mman.h>
#include <fcntl.h>
#include <cstdio>
#include <omp.h>
#include <unistd.h>
#include <cerrno>
#include "hdfs.h"
namespace SparkIntegration {
struct partition {
uint32_t id;
uint32_t num_bytes;
const void *data;
};
std::vector<partition>
binaryFiles(const char *rddBase) // change this to return edge pointer
{
int rank, size;
MPI_Comm_rank(MPI_COMM_WORLD, &rank);
MPI_Comm_size(MPI_COMM_WORLD, &size);
std::vector<partition> partitions;
std::vector<uint32_t> ranks;
std::vector<uint32_t> pnums;
std::vector<uint32_t> sizes;
if (rank == 0) {
std::stringstream partitions_ss;
partitions_ss << rddBase << "partitions";
FILE *partition_file = fopen(partitions_ss.str().c_str(), "r");
assert(partition_file);
uint32_t rank, partition_num, partition_size;
while (fscanf(partition_file, "%d,%d,%d\n", &rank, &partition_num,
&partition_size) > 0) {
ranks.push_back(rank);
pnums.push_back(partition_num);
sizes.push_back(partition_size);
std::cout << rank << "\t" << partition_num << "\t" << partition_size
<< std::endl;
}
fclose(partition_file);
}
uint32_t num_partitions = ranks.size();
MPI_Bcast(&num_partitions, 1, MPI_INT, 0, MPI_COMM_WORLD);
if (rank != 0) {
ranks = std::vector<uint32_t>(num_partitions);
pnums = std::vector<uint32_t>(num_partitions);
sizes = std::vector<uint32_t>(num_partitions);
}
MPI_Bcast(ranks.data(), num_partitions, MPI_INT, 0, MPI_COMM_WORLD);
MPI_Bcast(pnums.data(), num_partitions, MPI_INT, 0, MPI_COMM_WORLD);
MPI_Bcast(sizes.data(), num_partitions, MPI_INT, 0, MPI_COMM_WORLD);
assert(ranks.size() == pnums.size());
assert(pnums.size() == sizes.size());
for (uint32_t i = 0; i < ranks.size(); i++) {
if (ranks[i] == rank) {
std::stringstream ss;
ss << rddBase << i;
std::cout << "Rank: " << rank << " Opening: " << ss.str() << std::endl;
int fd = open(ss.str().c_str(), O_RDONLY);
std::cout << "errno: " << strerror(errno) << std::endl;
assert(fd != -1);
uint32_t nbytes = sizes[i];
void *edge_addr =
mmap(NULL, nbytes, PROT_READ, MAP_SHARED | MAP_POPULATE, fd, 0);
partitions.push_back({ i, sizes[i], edge_addr });
}
}
return partitions;
}
/*
* template <typename T>
void NativeRDD<T>::deleteFiles() {
int rank, size;
MPI_Comm_rank(MPI_COMM_WORLD, &rank);
MPI_Comm_size(MPI_COMM_WORLD, &size);
for(auto it = partitions.begin() ; it != partitions.end() ; it++)
{
std::stringstream ss;
ss << rddBase << it->id;
remove(ss.str().c_str());
std::cout << "deleting: " << ss.str() << std::endl;
}
if(rank == 0)
{
{
std::stringstream ss;
ss << rddBase << "partitions";
//remove(ss.str().c_str());
}
{
std::stringstream ss;
ss << rddBase << "hostfile";
//remove(ss.str().c_str());
}
}
}
*/
void SaveShm(std::vector<partition> partitions, const char *rddBaseOut) {
int rank, size;
MPI_Comm_rank(MPI_COMM_WORLD, &rank);
MPI_Comm_size(MPI_COMM_WORLD, &size);
std::cout << "size: " << size << std::endl;
// Get num partitions from each process
int local_partitions = partitions.size();
int *num_partitions = new int[size];
MPI_Allgather(&local_partitions, 1, MPI_INT, num_partitions, 1, MPI_INT,
MPI_COMM_WORLD);
int *partition_offsets = new int[size + 1];
partition_offsets[0] = 0;
for (int i = 0; i < size; i++) {
partition_offsets[i + 1] = partition_offsets[i] + num_partitions[i];
}
// Gather partition information
int *my_partition_ids = new int[partitions.size()];
int *my_partition_sizes = new int[partitions.size()];
int *my_partition_ranks = new int[partitions.size()];
char my_hostname[255];
gethostname(my_hostname, 255);
for (int i = 0; i < partitions.size(); i++) {
my_partition_ids[i] = partitions[i].id;
my_partition_sizes[i] = partitions[i].num_bytes;
my_partition_ranks[i] = rank;
}
int *partition_ids = new int[partition_offsets[size]];
int *partition_sizes = new int[partition_offsets[size]];
int *partition_ranks = new int[partition_offsets[size]];
char *hostnames = new char[255 * size];
MPI_Gatherv(my_partition_ids, partitions.size(), MPI_INT, partition_ids,
num_partitions, partition_offsets, MPI_INT, 0, MPI_COMM_WORLD);
MPI_Gatherv(my_partition_sizes, partitions.size(), MPI_INT, partition_sizes,
num_partitions, partition_offsets, MPI_INT, 0, MPI_COMM_WORLD);
MPI_Gatherv(my_partition_ranks, partitions.size(), MPI_INT, partition_ranks,
num_partitions, partition_offsets, MPI_INT, 0, MPI_COMM_WORLD);
MPI_Gather(my_hostname, 255, MPI_CHAR, hostnames, 255, MPI_CHAR, 0,
MPI_COMM_WORLD);
if (rank == 0) {
// Write hostfile
std::stringstream hostfilename;
hostfilename << rddBaseOut << "hostfile";
std::ofstream hostfile_stream;
hostfile_stream.open(hostfilename.str().c_str());
for (int i = 0; i < size; i++) {
const char *str = hostnames + 255 * i;
hostfile_stream << str << std::endl;
}
hostfile_stream.close();
// Write partition file
std::stringstream partitionfilename;
partitionfilename << rddBaseOut << "partitions";
std::ofstream partitionfile_stream;
partitionfile_stream.open(partitionfilename.str().c_str());
for (int i = 0; i < partition_offsets[size]; i++) {
partitionfile_stream << partition_ranks[i] << "," << partition_ids[i]
<< "," << partition_sizes[i] << std::endl;
}
partitionfile_stream.close();
}
delete[] my_partition_ids;
delete[] my_partition_sizes;
delete[] my_partition_ranks;
delete[] partition_ids;
delete[] partition_sizes;
delete[] partition_ranks;
delete[] partition_offsets;
delete[] num_partitions;
// Write my partitions
for (int i = 0; i < partitions.size(); i++) {
// open file
std::stringstream ss;
ss << rddBaseOut << partitions[i].id;
std::cout << "Rank: " << rank << " writing: " << ss.str() << std::endl;
int fd = open(ss.str().c_str(), O_RDWR | O_CREAT, 0666);
assert(fd != -1);
if(partitions[i].num_bytes > 0)
{
int fallocate_return = fallocate(fd, 0, 0, partitions[i].num_bytes);
assert(fallocate_return != -1);
void *edge_addr =
mmap(NULL, partitions[i].num_bytes, PROT_READ | PROT_WRITE,
MAP_SHARED | MAP_POPULATE, fd, 0);
memcpy(edge_addr, partitions[i].data, partitions[i].num_bytes);
munmap(edge_addr, partitions[i].num_bytes);
}
close(fd);
}
}
void SaveHDFS(std::vector<partition> partitions, const char *rddBaseOut) {
int rank, size;
MPI_Comm_rank(MPI_COMM_WORLD, &rank);
MPI_Comm_size(MPI_COMM_WORLD, &size);
hdfsFS handle = hdfsConnect("default", 0);
#pragma omp parallel for
for (size_t p = 0; p < partitions.size(); p++) {
if (partitions[p].num_bytes > 0) {
std::stringstream outname;
outname << rddBaseOut << "_" << partitions[p].id;
hdfsFile f = hdfsOpenFile(handle, outname.str().c_str(),
O_WRONLY | O_CREAT, 0, 0, 0);
assert(f);
hdfsWrite(handle, f, partitions[p].data, partitions[p].num_bytes);
assert(!hdfsFlush(handle, f));
}
}
hdfsDisconnect(handle);
}
}
#endif // __SPARK_INTEGRATION_H
|
DRB070-simd1-orig-no.c | /*
Copyright (c) 2017, Lawrence Livermore National Security, LLC.
Produced at the Lawrence Livermore National Laboratory
Written by Chunhua Liao, Pei-Hung Lin, Joshua Asplund,
Markus Schordan, and Ian Karlin
(email: liao6@llnl.gov, lin32@llnl.gov, asplund1@llnl.gov,
schordan1@llnl.gov, karlin1@llnl.gov)
LLNL-CODE-732144
All rights reserved.
This file is part of DataRaceBench. For details, see
https://github.com/LLNL/dataracebench. Please also see the LICENSE file
for our additional BSD notice.
Redistribution and use in source and binary forms, with
or without modification, are permitted provided that the following
conditions are met:
* Redistributions of source code must retain the above copyright
notice, this list of conditions and the disclaimer below.
* Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the disclaimer (as noted below)
in the documentation and/or other materials provided with the
distribution.
* Neither the name of the LLNS/LLNL nor the names of its contributors
may be used to endorse or promote products derived from this
software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND
CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES,
INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF
MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL LAWRENCE LIVERMORE NATIONAL
SECURITY, LLC, THE U.S. DEPARTMENT OF ENERGY OR CONTRIBUTORS BE
LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY,
OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING
IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF
THE POSSIBILITY OF SUCH DAMAGE.
*/
/*
One dimension array computation with a vetorization directive
*/
int a[100], b[100], c[100];
int main()
{
int i;
#pragma omp parallel for private(i )
for (i=0;i<100;i++) {
a[i]= i * 40;
b[i] = i - 1;
c[i] = i;
}
#pragma omp parallel for private(i )
for (i=0;i<100;i++)
a[i]=b[i]*c[i];
for (i=0;i<100;i++) {
printf("%d %d %d\n", a[i], b[i], c[i]);
}
return 0;
}
|
switch-branch-1.c | #include <assert.h>
#define s 100
#pragma omp declare target
int
switch1 (unsigned a)
{
switch (a)
{
case 1 ... 11:
return 11;
case 12 ... 13:
return 22;
default:
return 44;
}
}
int
switch2 (unsigned a)
{
switch (a)
{
case 1 ... 5:
return 1;
case 9 ... 11:
return a + 3;
case 12 ... 13:
return a + 3;
default:
return 44;
}
}
#define OFFSET 12
int
switch3 (unsigned a)
{
switch (a)
{
case (OFFSET + 0):
return 1;
case (OFFSET + 1)...(OFFSET + 11):
return 11;
case (OFFSET + 12)...(OFFSET + 13):
return (OFFSET + 22);
default:
return (OFFSET + 44);
}
}
int
switch4 (unsigned a)
{
switch (a)
{
case -2:
return 1;
case -1:
return a + 3;
case 3:
return a + 3;
default:
return 44;
}
}
#pragma omp end declare target
#define low -33
#define high 55
int
main (int argc)
{
int array[s];
#pragma omp target map(tofrom : array[:s])
{
for (int i = low; i < high; i++)
array[i - low] = switch1 (i);
}
for (int i = low; i < high; i++)
assert (array[i - low] == switch1 (i));
#pragma omp target map(tofrom : array[:s])
{
for (int i = low; i < high; i++)
array[i - low] = switch2 (i);
}
for (int i = low; i < high; i++)
assert (array[i - low] == switch2 (i));
#pragma omp target map(tofrom : array[:s])
{
for (int i = low; i < high; i++)
array[i - low] = switch3 (i);
}
for (int i = low; i < high; i++)
assert (array[i - low] == switch3 (i));
#pragma omp target map(tofrom : array[:s])
{
for (int i = low; i < high; i++)
array[i - low] = switch4 (i);
}
for (int i = low; i < high; i++)
assert (array[i - low] == switch4 (i));
return 0;
}
|
main.c | /*
* Copyright (c) 2016 NSR (National Security Research Institute)
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in
* all copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
* THE SOFTWARE.
*/
#include <stdio.h>
#include <string.h>
#include <stdbool.h>
#include <time.h>
#include <omp.h>
#include "include/drbg.h"
#include "include/hmac_drbg.h"
#define MAX_FILE_NAME_LEN 256
#define MAX_READ_LEN 1024
#define MAX_DATA_LEN 1024 // original 256 * 4
#pragma warning(disable: 4996)
void drbg_lsh_testvector_pr()
{
const int MAX_LOOP_COUNT = 6;
FILE *input_file, *output_file;
char input_file_name[MAX_FILE_NAME_LEN], output_file_name[MAX_FILE_NAME_LEN];
lsh_u8 drbg_result[128];
lsh_u8 read_line[MAX_DATA_LEN];
lsh_type algtype;
lsh_u8 entropy[256];
lsh_u8 entropy_pr1[256];
lsh_u8 entropy_pr2[256];
lsh_u8 nonce[256];
lsh_u8 per_string[256];
lsh_u8 add_input1[256];
lsh_u8 add_input2[256];
bool prediction_resistance;
lsh_uint output_bits;
lsh_uint reseed_cycle = 1;
int entropy_size;
int nonce_size;
int per_size;
int add_size;
int count;
int r, w;
lsh_u8 *str_to_int;
unsigned char *std_name[6] = {"LSH-256_224", "LSH-256_256", "LSH-512_224", "LSH-512_256", "LSH-512_384", "LSH-512_512"};
int num = 0;
omp_set_num_threads(MAX_LOOP_COUNT);
// can applied open MP
//#pragma omp parallel for private(input_file_name, output_file_name, input_file, output_file, count, num, algtype, output_bits, entropy, entropy_pr1, entropy_pr2, entropy_size, nonce, nonce_size, add_input1, add_input2, add_size, per_string, per_size, drbg_result, r, w, str_to_int, read_line)
for(int index = 0 ; index < MAX_LOOP_COUNT ; index++)
{
num = 0;
sprintf(input_file_name, "DRBG_testvector_lsh/HASH_DRBG(%s(-)(PR)).txt", std_name[index]);
sprintf(output_file_name, "DRBG_testvector_lsh/HASH_DRBG(%s(-)(PR))_rsp.txt", std_name[index]);
input_file = fopen(input_file_name, "r");
output_file = fopen(output_file_name, "w");
if(input_file != NULL)
{
printf("test data from: %s \n", input_file_name);
while(!feof(input_file))
{
fgets(read_line, MAX_READ_LEN, input_file); // read algtype
read_line[strlen(read_line) - 1] = '\0';
if(!strcmp(read_line, "[LSH-256_224]"))
{
output_bits = 448;
algtype = LSH_TYPE_256_224;
}
else if(!strcmp(read_line, "[LSH-256_256]"))
{
output_bits = 512;
algtype = LSH_TYPE_256_256;
}
else if(!strcmp(read_line, "[LSH-512_224]"))
{
output_bits = 448;
algtype = LSH_TYPE_512_224;
}
else if(!strcmp(read_line, "[LSH-512_256]"))
{
output_bits = 512;
algtype = LSH_TYPE_512_256;
}
else if(!strcmp(read_line, "[LSH-512_384]"))
{
output_bits = 768;
algtype = LSH_TYPE_512_384;
}
else if(!strcmp(read_line, "[LSH-512_512]"))
{
output_bits = 1024;
algtype = LSH_TYPE_512_512;
}
else
{
printf("%s is unknown algorithm type \n", read_line);
goto forced_exit;
}
output_bits *= 1; // adjust output bits size
fgets(read_line, MAX_READ_LEN, input_file); // skip line
prediction_resistance = true;
fgets(read_line, MAX_READ_LEN, input_file); // read entropy length
str_to_int = &read_line[19];
entropy_size = atoi(str_to_int);
fgets(read_line, MAX_READ_LEN, input_file); // read nonce length
str_to_int = &read_line[11];
nonce_size = atoi(str_to_int);
fgets(read_line, MAX_READ_LEN, input_file); // read persnalization length
str_to_int = &read_line[27];
per_size = atoi(str_to_int);
fgets(read_line, MAX_READ_LEN, input_file); // read additional length
str_to_int = &read_line[21];
add_size = atoi(str_to_int);
fgets(read_line, MAX_READ_LEN, input_file); // skip line
while(count != 14)
{
fgets(read_line, MAX_READ_LEN, input_file); // get count
str_to_int = &read_line[8];
count = atoi(str_to_int);
fgets(read_line, MAX_READ_LEN, input_file); // get entropy
for(r = 15, w = 0 ; r < strlen(read_line) ; r += 2)
{
lsh_u8 str_to_hex[3] = {read_line[r], read_line[r+1], '\0'};
entropy[w++] = strtol(str_to_hex, NULL, 16);
}
fgets(read_line, MAX_READ_LEN, input_file); // get nocne
for(r = 8, w = 0 ; r < strlen(read_line) ; r += 2)
{
lsh_u8 str_to_hex[3] = {read_line[r], read_line[r+1], '\0'};
nonce[w++] = strtol(str_to_hex, NULL, 16);
}
fgets(read_line, MAX_READ_LEN, input_file); // get personalization string
if(per_size)
{
for(r = 24, w = 0 ; r < strlen(read_line) ; r += 2)
{
lsh_u8 str_to_hex[3] = {read_line[r], read_line[r+1], '\0'};
per_string[w++] = strtol(str_to_hex, NULL, 16);
}
}
fgets(read_line, MAX_READ_LEN, input_file); // get additional input1
if(add_size)
{
for(r = 18, w = 0 ; r < strlen(read_line) ; r += 2)
{
lsh_u8 str_to_hex[3] = {read_line[r], read_line[r+1], '\0'};
add_input1[w++] = strtol(str_to_hex, NULL, 16);
}
}
fgets(read_line, MAX_READ_LEN, input_file); // get entropy pr1
for(r = 17, w = 0 ; r < strlen(read_line) ; r += 2)
{
lsh_u8 str_to_hex[3] = {read_line[r], read_line[r+1], '\0'};
entropy_pr1[w++] = strtol(str_to_hex, NULL, 16);
}
fgets(read_line, MAX_READ_LEN, input_file); // get additional input2
if(add_size)
{
for(r = 18, w = 0 ; r < strlen(read_line) ; r += 2)
{
lsh_u8 str_to_hex[3] = {read_line[r], read_line[r+1], '\0'};
add_input2[w++] = strtol(str_to_hex, NULL, 16);
}
}
fgets(read_line, MAX_READ_LEN, input_file); // get entropy pr2
for(r = 17, w = 0 ; r < strlen(read_line) ; r += 2)
{
lsh_u8 str_to_hex[3] = {read_line[r], read_line[r+1], '\0'};
entropy_pr2[w++] = strtol(str_to_hex, NULL, 16);
}
fgets(read_line, MAX_READ_LEN, input_file); // skip line
drbg_lsh_testvector_pr_digest(algtype, prediction_resistance, entropy, entropy_pr1, entropy_pr2, entropy_size, nonce, nonce_size, per_string, per_size, add_input1, add_input2, add_size, output_bits, reseed_cycle, drbg_result);
fprintf(output_file, "output %d = ", num++);
for(int i = 0 ; i < output_bits / 8 ; i++)
fprintf(output_file, "%02x", drbg_result[i]);
fprintf(output_file, "\n\n");
}
count = 0;
}
}
else
printf("file does not exist \n");
forced_exit:
fclose(input_file);
fclose(output_file);
}
printf("DRBG test finished \n");
}
int main()
{
time_t start_time = 0, end_time = 0;
double excute_time;
double total_time = 0;
int loop_count = 1000;
int is_lsh = 1;
if(is_lsh)
{
for(int i = 0 ; i < loop_count ; i++)
{
start_time = clock();
drbg_lsh_testvector_pr();
end_time = clock();
excute_time = (double)(end_time - start_time);
total_time += excute_time;
printf("Time spent: %.f milliseconds \n", excute_time);
}
}
printf("Total Time spend: %.f milliseconds \n", total_time);
printf("Average Time spent of %d loops: %.f milliseconds \n", loop_count, total_time / loop_count);
return 0;
}
|
scs_matrix.c | /* contains routines common to direct and indirect sparse solvers */
#include "scs_matrix.h"
#include "linalg.h"
#include "linsys.h"
#include "util.h"
#define MIN_NORMALIZATION_FACTOR (1e-4)
#define MAX_NORMALIZATION_FACTOR (1e4)
#define NUM_RUIZ_PASSES (25) /* additional passes don't help much */
#define NUM_L2_PASSES (1) /* do one or zero, not more since not stable */
scs_int SCS(copy_matrix)(ScsMatrix **dstp, const ScsMatrix *src) {
if (!src) {
*dstp = SCS_NULL;
return 1;
}
scs_int Anz = src->p[src->n];
ScsMatrix *A = (ScsMatrix *)scs_calloc(1, sizeof(ScsMatrix));
if (!A) {
return 0;
}
A->n = src->n;
A->m = src->m;
/* A values, size: NNZ A */
A->x = (scs_float *)scs_calloc(Anz, sizeof(scs_float));
/* A row index, size: NNZ A */
A->i = (scs_int *)scs_calloc(Anz, sizeof(scs_int));
/* A column pointer, size: n+1 */
A->p = (scs_int *)scs_calloc(src->n + 1, sizeof(scs_int));
if (!A->x || !A->i || !A->p) {
return 0;
}
memcpy(A->x, src->x, sizeof(scs_float) * Anz);
memcpy(A->i, src->i, sizeof(scs_int) * Anz);
memcpy(A->p, src->p, sizeof(scs_int) * (src->n + 1));
*dstp = A;
return 1;
}
scs_int SCS(validate_lin_sys)(const ScsMatrix *A, const ScsMatrix *P) {
scs_int i, j, r_max, Anz;
if (!A->x || !A->i || !A->p) {
scs_printf("data incompletely specified\n");
return -1;
}
/* detects some errors in A col ptrs: */
Anz = A->p[A->n];
/* Disable this check which is slowish and typically just produces noise. */
/*
if (Anz > 0) {
for (i = 0; i < A->n; ++i) {
if (A->p[i] == A->p[i + 1]) {
scs_printf("WARN: A->p (column pointers) not strictly increasing, "
"column %li empty\n",
(long)i);
} else if (A->p[i] > A->p[i + 1]) {
scs_printf("ERROR: A->p (column pointers) decreasing\n");
return -1;
}
}
}
*/
if (((scs_float)Anz / A->m > A->n) || (Anz < 0)) {
scs_printf("Anz (nonzeros in A) = %li, outside of valid range\n",
(long)Anz);
return -1;
}
r_max = 0;
for (i = 0; i < Anz; ++i) {
if (A->i[i] > r_max) {
r_max = A->i[i];
}
}
if (r_max > A->m - 1) {
scs_printf("number of rows in A inconsistent with input dimension\n");
return -1;
}
if (P) {
if (P->n != A->n) {
scs_printf("P dimension = %li, inconsistent with n = %li\n", (long)P->n,
(long)A->n);
return -1;
}
if (P->m != P->n) {
scs_printf("P is not square\n");
return -1;
}
for (j = 0; j < P->n; j++) { /* cols */
for (i = P->p[j]; i < P->p[j + 1]; i++) {
if (P->i[i] > j) { /* if row > */
scs_printf("P is not upper triangular\n");
return -1;
}
}
}
}
return 0;
}
void SCS(free_scs_matrix)(ScsMatrix *A) {
if (A) {
scs_free(A->x);
scs_free(A->i);
scs_free(A->p);
scs_free(A);
}
}
static inline scs_float apply_limit(scs_float x) {
/* need to bound to 1 for cols/rows of all zeros, otherwise blows up */
x = x < MIN_NORMALIZATION_FACTOR ? 1.0 : x;
x = x > MAX_NORMALIZATION_FACTOR ? MAX_NORMALIZATION_FACTOR : x;
return x;
}
static void compute_ruiz_mats(ScsMatrix *P, ScsMatrix *A, scs_float *Dt,
scs_float *Et, ScsConeWork *cone) {
scs_int i, j, kk;
scs_float wrk;
/**************************** D ****************************/
/* initialize D */
for (i = 0; i < A->m; ++i) {
Dt[i] = 0.;
/* Dt[i] = ABS(b[i]); */
}
/* calculate row norms */
for (i = 0; i < A->n; ++i) {
for (j = A->p[i]; j < A->p[i + 1]; ++j) {
Dt[A->i[j]] = MAX(Dt[A->i[j]], ABS(A->x[j]));
}
}
/* accumulate D across each cone */
SCS(enforce_cone_boundaries)(cone, Dt, &SCS(norm_inf));
/* invert temporary vec to form D */
for (i = 0; i < A->m; ++i) {
Dt[i] = SAFEDIV_POS(1.0, SQRTF(apply_limit(Dt[i])));
}
/**************************** E ****************************/
/* initialize E */
for (i = 0; i < A->n; ++i) {
Et[i] = 0.;
/* Et[i] = ABS(c[i]); */
}
/* TODO: test not using P to determine scaling */
if (P) {
/* compute norm of cols of P (symmetric upper triangular) */
/* E = norm of cols of P */
/* Compute maximum across columns */
/* P(i, j) contributes to col j and col i (row i) due to symmetry */
for (j = 0; j < P->n; j++) { /* cols */
for (kk = P->p[j]; kk < P->p[j + 1]; kk++) {
i = P->i[kk]; /* row */
wrk = ABS(P->x[kk]);
Et[j] = MAX(wrk, Et[j]);
if (i != j) {
Et[i] = MAX(wrk, Et[i]);
}
}
}
}
/* calculate col norms, E */
for (i = 0; i < A->n; ++i) {
Et[i] = MAX(Et[i], SCS(norm_inf)(&(A->x[A->p[i]]), A->p[i + 1] - A->p[i]));
Et[i] = SAFEDIV_POS(1.0, SQRTF(apply_limit(Et[i])));
}
}
static void compute_l2_mats(ScsMatrix *P, ScsMatrix *A, scs_float *Dt,
scs_float *Et, ScsConeWork *cone) {
scs_int i, j, kk;
scs_float wrk;
/**************************** D ****************************/
/* initialize D */
for (i = 0; i < A->m; ++i) {
Dt[i] = 0.;
/* Dt[i] = b[i] * b[i]; */
}
/* calculate row norms */
for (i = 0; i < A->n; ++i) {
for (j = A->p[i]; j < A->p[i + 1]; ++j) {
Dt[A->i[j]] += A->x[j] * A->x[j];
}
}
for (i = 0; i < A->m; ++i) {
Dt[i] = SQRTF(Dt[i]); /* l2 norm of rows */
}
/* accumulate D across each cone */
SCS(enforce_cone_boundaries)(cone, Dt, &SCS(mean));
for (i = 0; i < A->m; ++i) {
Dt[i] = SAFEDIV_POS(1.0, SQRTF(apply_limit(Dt[i])));
}
/**************************** E ****************************/
/* initialize E */
for (i = 0; i < A->n; ++i) {
Et[i] = 0.;
/* Et[i] = c[i] * c[i]; */
}
/* TODO: test not using P to determine scaling */
if (P) {
/* compute norm of cols of P (symmetric upper triangular) */
/* E = norm of cols of P */
/* Compute maximum across columns */
/* P(i, j) contributes to col j and col i (row i) due to symmetry */
for (j = 0; j < P->n; j++) { /* cols */
for (kk = P->p[j]; kk < P->p[j + 1]; kk++) {
i = P->i[kk]; /* row */
wrk = P->x[kk] * P->x[kk];
Et[j] += wrk;
if (i != j) {
Et[i] += wrk;
}
}
}
}
/* calculate col norms, E */
for (i = 0; i < A->n; ++i) {
Et[i] += SCS(norm_sq)(&(A->x[A->p[i]]), A->p[i + 1] - A->p[i]);
Et[i] = SAFEDIV_POS(1.0, SQRTF(apply_limit(SQRTF(Et[i]))));
}
}
static void rescale(ScsMatrix *P, ScsMatrix *A, scs_float *Dt, scs_float *Et,
ScsScaling *scal, ScsConeWork *cone) {
scs_int i, j;
/* scale the rows of A with D */
for (i = 0; i < A->n; ++i) {
for (j = A->p[i]; j < A->p[i + 1]; ++j) {
A->x[j] *= Dt[A->i[j]];
}
}
/* scale the cols of A with E */
for (i = 0; i < A->n; ++i) {
SCS(scale_array)(&(A->x[A->p[i]]), Et[i], A->p[i + 1] - A->p[i]);
}
if (P) {
/* scale the rows of P with E */
for (i = 0; i < P->n; ++i) {
for (j = P->p[i]; j < P->p[i + 1]; ++j) {
P->x[j] *= Et[P->i[j]];
}
}
/* scale the cols of P with E */
for (i = 0; i < P->n; ++i) {
SCS(scale_array)(&(P->x[P->p[i]]), Et[i], P->p[i + 1] - P->p[i]);
}
}
/* Accumulate scaling */
for (i = 0; i < A->m; ++i) {
scal->D[i] *= Dt[i];
}
for (i = 0; i < A->n; ++i) {
scal->E[i] *= Et[i];
}
/* no need to scale P since later primal_scale = dual_scale */
/*
if (P) {
SCS(scale_array)(P->x, primal_scale, P->p[P->n]);
SCS(scale_array)(P->x, 1.0 / dual_scale, P->p[P->n]);
}
*/
}
/* Will rescale as P -> EPE, A -> DAE in-place.
* Essentially trying to rescale this matrix:
*
* [P A'] with [E 0 ] on both sides (D, E diagonal)
* [A 0 ] [0 D ]
*
* which results in:
*
* [ EPE EA'D ]
* [ DAE 0 ]
*
* In other words D rescales the rows of A
* E rescales the cols of A and rows/cols of P
*
* will repeatedly set: D^-1 ~ norm of rows of [ A ]
*
* E^-1 ~ norm of cols of [ P ]
* [ A ]
*
* The main complication is that D has to respect cone boundaries.
*
*/
ScsScaling *SCS(normalize_a_p)(ScsMatrix *P, ScsMatrix *A, ScsConeWork *cone) {
scs_int i;
ScsScaling *scal = (ScsScaling *)scs_calloc(1, sizeof(ScsScaling));
scs_float *Dt = (scs_float *)scs_calloc(A->m, sizeof(scs_float));
scs_float *Et = (scs_float *)scs_calloc(A->n, sizeof(scs_float));
scal->D = (scs_float *)scs_calloc(A->m, sizeof(scs_float));
scal->E = (scs_float *)scs_calloc(A->n, sizeof(scs_float));
#if VERBOSITY > 5
SCS(timer) normalize_timer;
SCS(tic)(&normalize_timer);
scs_printf("normalizing A and P\n");
#endif
/* init D, E */
scal->m = A->m;
for (i = 0; i < A->m; ++i) {
scal->D[i] = 1.;
}
scal->n = A->n;
for (i = 0; i < A->n; ++i) {
scal->E[i] = 1.;
}
scal->primal_scale = 1.;
scal->dual_scale = 1.;
for (i = 0; i < NUM_RUIZ_PASSES; ++i) {
compute_ruiz_mats(P, A, Dt, Et, cone);
rescale(P, A, Dt, Et, scal, cone);
}
for (i = 0; i < NUM_L2_PASSES; ++i) {
compute_l2_mats(P, A, Dt, Et, cone);
rescale(P, A, Dt, Et, scal, cone);
}
scs_free(Dt);
scs_free(Et);
#if VERBOSITY > 5
scs_printf("finished normalizing A and P, time: %1.2es\n",
SCS(tocq)(&normalize_timer) / 1e3);
scs_printf("inf norm A %1.2e\n", SCS(norm_inf)(A->x, A->p[A->n]));
if (P) {
scs_printf("inf norm P %1.2e\n", SCS(norm_inf)(P->x, P->p[P->n]));
}
scs_printf("primal_scale %g\n", scal->primal_scale);
scs_printf("dual_scale %g\n", scal->dual_scale);
scs_printf("norm D %g\n", SCS(norm_inf)(scal->D, A->m));
scs_printf("norm E %g\n", SCS(norm_inf)(scal->E, A->n));
#endif
return scal;
}
/*
void SCS(un_normalize_a_p)(ScsMatrix *A, ScsMatrix *P, const ScsScaling *scal) {
scs_int i, j;
scs_float *D = scal->D;
scs_float *E = scal->E;
for (i = 0; i < A->n; ++i) {
SCS(scale_array)
(&(A->x[A->p[i]]), 1. / E[i], A->p[i + 1] - A->p[i]);
}
for (i = 0; i < A->n; ++i) {
for (j = A->p[i]; j < A->p[i + 1]; ++j) {
A->x[j] /= D[A->i[j]];
}
}
if (P) {
for (i = 0; i < P->n; ++i) {
SCS(scale_array)
(&(P->x[P->p[i]]), 1. / E[i], P->p[i + 1] - P->p[i]);
}
for (i = 0; i < P->n; ++i) {
for (j = P->p[i]; j < P->p[i + 1]; ++j) {
P->x[j] /= E[P->i[j]];
}
}
}
}
*/
void SCS(accum_by_atrans)(const ScsMatrix *A, const scs_float *x,
scs_float *y) {
/* y += A'*x
A in column compressed format
parallelizes over columns (rows of A')
*/
scs_int p, j;
scs_int c1, c2;
scs_float yj;
scs_int n = A->n;
scs_int *Ap = A->p;
scs_int *Ai = A->i;
scs_float *Ax = A->x;
#ifdef _OPENMP
#pragma omp parallel for private(p, c1, c2, yj)
#endif
for (j = 0; j < n; j++) {
yj = y[j];
c1 = Ap[j];
c2 = Ap[j + 1];
for (p = c1; p < c2; p++) {
yj += Ax[p] * x[Ai[p]];
}
y[j] = yj;
}
}
void SCS(accum_by_a)(const ScsMatrix *A, const scs_float *x, scs_float *y) {
/*y += A*x
A in column compressed format
*/
scs_int p, j, i;
scs_int n = A->n;
scs_int *Ap = A->p;
scs_int *Ai = A->i;
scs_float *Ax = A->x;
for (j = 0; j < n; j++) { /* col */
for (p = Ap[j]; p < Ap[j + 1]; p++) {
i = Ai[p]; /* row */
y[i] += Ax[p] * x[j];
}
}
}
/* Since P is upper triangular need to be clever here */
void SCS(accum_by_p)(const ScsMatrix *P, const scs_float *x, scs_float *y) {
/* returns y += P x */
scs_int p, j, i;
scs_int n = P->n;
scs_int *Pp = P->p;
scs_int *Pi = P->i;
scs_float *Px = P->x;
/* y += P_upper x but skip diagonal entries*/
for (j = 0; j < n; j++) { /* col */
for (p = Pp[j]; p < Pp[j + 1]; p++) {
i = Pi[p]; /* row */
if (i != j) { /* skip the diagonal */
y[i] += Px[p] * x[j];
}
}
}
/* y += P_lower x */
SCS(accum_by_atrans)(P, x, y);
}
|
GB_unop__identity_int64_fp64.c | //------------------------------------------------------------------------------
// GB_unop: hard-coded functions for each built-in unary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2022, All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
//------------------------------------------------------------------------------
// If this file is in the Generated2/ folder, do not edit it
// (it is auto-generated from Generator/*).
#include "GB.h"
#ifndef GBCOMPACT
#include "GB_control.h"
#include "GB_atomics.h"
#include "GB_unop__include.h"
// C=unop(A) is defined by the following types and operators:
// op(A) function: GB (_unop_apply__identity_int64_fp64)
// op(A') function: GB (_unop_tran__identity_int64_fp64)
// C type: int64_t
// A type: double
// cast: int64_t cij = GB_cast_to_int64_t ((double) (aij))
// unaryop: cij = aij
#define GB_ATYPE \
double
#define GB_CTYPE \
int64_t
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA) \
double aij = Ax [pA]
#define GB_CX(p) Cx [p]
// unary operator
#define GB_OP(z, x) \
z = x ;
// casting
#define GB_CAST(z, aij) \
int64_t z = GB_cast_to_int64_t ((double) (aij)) ;
// cij = op (aij)
#define GB_CAST_OP(pC,pA) \
{ \
/* aij = Ax [pA] */ \
double aij = Ax [pA] ; \
/* Cx [pC] = op (cast (aij)) */ \
int64_t z = GB_cast_to_int64_t ((double) (aij)) ; \
Cx [pC] = z ; \
}
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_IDENTITY || GxB_NO_INT64 || GxB_NO_FP64)
//------------------------------------------------------------------------------
// Cx = op (cast (Ax)): apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB (_unop_apply__identity_int64_fp64)
(
int64_t *Cx, // Cx and Ax may be aliased
const double *Ax,
const int8_t *restrict Ab, // A->b if A is bitmap
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t p ;
if (Ab == NULL)
{
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
double aij = Ax [p] ;
int64_t z = GB_cast_to_int64_t ((double) (aij)) ;
Cx [p] = z ;
}
}
else
{
// bitmap case, no transpose; A->b already memcpy'd into C->b
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
if (!Ab [p]) continue ;
double aij = Ax [p] ;
int64_t z = GB_cast_to_int64_t ((double) (aij)) ;
Cx [p] = z ;
}
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (cast (A')): transpose, typecast, and apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB (_unop_tran__identity_int64_fp64)
(
GrB_Matrix C,
const GrB_Matrix A,
int64_t *restrict *Workspaces,
const int64_t *restrict A_slice,
int nworkspaces,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
GB_binop__ne_int64.c | //------------------------------------------------------------------------------
// GB_binop: hard-coded functions for each built-in binary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2021, All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
//------------------------------------------------------------------------------
// If this file is in the Generated/ folder, do not edit it (auto-generated).
#include "GB.h"
#ifndef GBCOMPACT
#include "GB_emult.h"
#include "GB_control.h"
#include "GB_ek_slice.h"
#include "GB_dense.h"
#include "GB_atomics.h"
#include "GB_bitmap_assign_methods.h"
#include "GB_binop__include.h"
// C=binop(A,B) is defined by the following types and operators:
// A+B function (eWiseAdd): GB (_AaddB__ne_int64)
// A.*B function (eWiseMult): GB (_AemultB)
// A.*B function (eWiseMult): GB (_AemultB_02__ne_int64)
// A.*B function (eWiseMult): GB (_AemultB_03__ne_int64)
// A.*B function (eWiseMult): GB (_AemultB_bitmap__ne_int64)
// A*D function (colscale): GB (_AxD__ne_int64)
// D*A function (rowscale): GB (_DxB__ne_int64)
// C+=B function (dense accum): GB (_Cdense_accumB__ne_int64)
// C+=b function (dense accum): GB (_Cdense_accumb__ne_int64)
// C+=A+B function (dense ewise3): GB ((none))
// C=A+B function (dense ewise3): GB (_Cdense_ewise3_noaccum__ne_int64)
// C=scalar+B GB (_bind1st__ne_int64)
// C=scalar+B' GB (_bind1st_tran__ne_int64)
// C=A+scalar GB (_bind2nd__ne_int64)
// C=A'+scalar GB (_bind2nd_tran__ne_int64)
// C type: bool
// A type: int64_t
// B,b type: int64_t
// BinaryOp: cij = (aij != bij)
#define GB_ATYPE \
int64_t
#define GB_BTYPE \
int64_t
#define GB_CTYPE \
bool
// true if the types of A and B are identical
#define GB_ATYPE_IS_BTYPE \
1
// true if the types of C and A are identical
#define GB_CTYPE_IS_ATYPE \
0
// true if the types of C and B are identical
#define GB_CTYPE_IS_BTYPE \
0
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA) \
int64_t aij = Ax [pA]
// bij = Bx [pB]
#define GB_GETB(bij,Bx,pB) \
int64_t bij = Bx [pB]
// declare scalar of the same type as C
#define GB_CTYPE_SCALAR(t) \
bool t
// cij = Ax [pA]
#define GB_COPY_A_TO_C(cij,Ax,pA) \
cij = Ax [pA]
// cij = Bx [pB]
#define GB_COPY_B_TO_C(cij,Bx,pB) \
cij = Bx [pB]
#define GB_CX(p) Cx [p]
// binary operator
#define GB_BINOP(z, x, y, i, j) \
z = (x != y) ;
// true if the binop must be flipped
#define GB_BINOP_FLIP \
0
// op is second
#define GB_OP_IS_SECOND \
0
// do the numerical phases of GB_add and GB_emult
#define GB_PHASE_2_OF_2
// hard-coded loops can be vectorized
#define GB_PRAGMA_SIMD_VECTORIZE GB_PRAGMA_SIMD
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_NE || GxB_NO_INT64 || GxB_NO_NE_INT64)
//------------------------------------------------------------------------------
// C += A+B, all 3 matrices dense
//------------------------------------------------------------------------------
#if 0
// The op must be MIN, MAX, PLUS, MINUS, RMINUS, TIMES, DIV, or RDIV.
void GB ((none))
(
GrB_Matrix C,
const GrB_Matrix A,
const GrB_Matrix B,
const int nthreads
)
{
#include "GB_dense_ewise3_accum_template.c"
}
#endif
//------------------------------------------------------------------------------
// C = A+B, all 3 matrices dense
//------------------------------------------------------------------------------
GrB_Info GB (_Cdense_ewise3_noaccum__ne_int64)
(
GrB_Matrix C,
const GrB_Matrix A,
const GrB_Matrix B,
const int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_dense_ewise3_noaccum_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C += B, accumulate a sparse matrix into a dense matrix
//------------------------------------------------------------------------------
GrB_Info GB (_Cdense_accumB__ne_int64)
(
GrB_Matrix C,
const GrB_Matrix B,
const int64_t *B_ek_slicing, const int B_ntasks, const int B_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#if 0
{
#include "GB_dense_subassign_23_template.c"
}
#endif
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C += b, accumulate a scalar into a dense matrix
//------------------------------------------------------------------------------
GrB_Info GB (_Cdense_accumb__ne_int64)
(
GrB_Matrix C,
const GB_void *p_bwork,
const int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#if 0
{
// get the scalar b for C += b, of type int64_t
int64_t bwork = (*((int64_t *) p_bwork)) ;
#include "GB_dense_subassign_22_template.c"
return (GrB_SUCCESS) ;
}
#endif
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = A*D, column scale with diagonal D matrix
//------------------------------------------------------------------------------
GrB_Info GB (_AxD__ne_int64)
(
GrB_Matrix C,
const GrB_Matrix A, bool A_is_pattern,
const GrB_Matrix D, bool D_is_pattern,
const int64_t *A_ek_slicing, const int A_ntasks, const int A_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
bool *restrict Cx = (bool *) C->x ;
#include "GB_AxB_colscale_meta.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = D*B, row scale with diagonal D matrix
//------------------------------------------------------------------------------
GrB_Info GB (_DxB__ne_int64)
(
GrB_Matrix C,
const GrB_Matrix D, bool D_is_pattern,
const GrB_Matrix B, bool B_is_pattern,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
bool *restrict Cx = (bool *) C->x ;
#include "GB_AxB_rowscale_meta.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseAdd: C = A+B or C<M> = A+B
//------------------------------------------------------------------------------
GrB_Info GB (_AaddB__ne_int64)
(
GrB_Matrix C,
const int C_sparsity,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const bool Ch_is_Mh,
const int64_t *restrict C_to_M,
const int64_t *restrict C_to_A,
const int64_t *restrict C_to_B,
const GB_task_struct *restrict TaskList,
const int C_ntasks,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
GB_WERK_DECLARE (M_ek_slicing, int64_t) ;
GB_WERK_DECLARE (A_ek_slicing, int64_t) ;
GB_WERK_DECLARE (B_ek_slicing, int64_t) ;
#include "GB_add_template.c"
GB_FREE_WORK ;
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C = A.*B or C<M> = A.*B
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_01__ne_int64)
(
GrB_Matrix C,
const int C_sparsity,
const int ewise_method,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *restrict C_to_M,
const int64_t *restrict C_to_A,
const int64_t *restrict C_to_B,
const GB_task_struct *restrict TaskList,
const int C_ntasks,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_emult_01_meta.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C<#> = A.*B when A is sparse/hyper and B is bitmap/full
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_02__ne_int64)
(
GrB_Matrix C,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const bool flipxy,
const int64_t *restrict Cp_kfirst,
const int64_t *A_ek_slicing, const int A_ntasks, const int A_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#if GB_BINOP_FLIP
// The operator is not commutative, and does not have a flipped
// variant. For example z=atan2(y,x).
if (flipxy)
{
// use fmult(y,x)
#undef GB_FLIPPED
#define GB_FLIPPED 1
#include "GB_emult_02_template.c"
}
else
{
// use fmult(x,y)
#undef GB_FLIPPED
#define GB_FLIPPED 0
#include "GB_emult_02_template.c"
}
#else
// No need to handle the flip: the operator is either commutative, or
// has been handled by changing z=div(y,x) to z=rdiv(x,y) for example.
#undef GB_FLIPPED
#define GB_FLIPPED 0
#include "GB_emult_02_template.c"
#endif
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C<M> = A.*B, M sparse/hyper, A and B bitmap/full
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_03__ne_int64)
(
GrB_Matrix C,
const GrB_Matrix M,
const bool Mask_struct,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *restrict Cp_kfirst,
const int64_t *M_ek_slicing, const int M_ntasks, const int M_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_emult_03_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C=A.*B, C<M>=A.*B, C<!M>=A.*B where C is bitmap
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_bitmap__ne_int64)
(
GrB_Matrix C,
const int ewise_method,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *M_ek_slicing, const int M_ntasks, const int M_nthreads,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_bitmap_emult_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// Cx = op (x,Bx): apply a binary operator to a matrix with scalar bind1st
//------------------------------------------------------------------------------
GrB_Info GB (_bind1st__ne_int64)
(
GB_void *Cx_output, // Cx and Bx may be aliased
const GB_void *x_input,
const GB_void *Bx_input,
const int8_t *restrict Bb,
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
bool *Cx = (bool *) Cx_output ;
int64_t x = (*((int64_t *) x_input)) ;
int64_t *Bx = (int64_t *) Bx_input ;
int64_t p ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
if (!GBB (Bb, p)) continue ;
int64_t bij = Bx [p] ;
Cx [p] = (x != bij) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// Cx = op (Ax,y): apply a binary operator to a matrix with scalar bind2nd
//------------------------------------------------------------------------------
GrB_Info GB (_bind2nd__ne_int64)
(
GB_void *Cx_output, // Cx and Ax may be aliased
const GB_void *Ax_input,
const GB_void *y_input,
const int8_t *restrict Ab,
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t p ;
bool *Cx = (bool *) Cx_output ;
int64_t *Ax = (int64_t *) Ax_input ;
int64_t y = (*((int64_t *) y_input)) ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
if (!GBB (Ab, p)) continue ;
int64_t aij = Ax [p] ;
Cx [p] = (aij != y) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (x, A'): transpose and apply a binary operator
//------------------------------------------------------------------------------
// cij = op (x, aij), no typecasting (in spite of the macro name)
#undef GB_CAST_OP
#define GB_CAST_OP(pC,pA) \
{ \
int64_t aij = Ax [pA] ; \
Cx [pC] = (x != aij) ; \
}
GrB_Info GB (_bind1st_tran__ne_int64)
(
GrB_Matrix C,
const GB_void *x_input,
const GrB_Matrix A,
int64_t *restrict *Workspaces,
const int64_t *restrict A_slice,
int nworkspaces,
int nthreads
)
{
// GB_unop_transpose.c uses GB_ATYPE, but A is
// the 2nd input to binary operator z=f(x,y).
#undef GB_ATYPE
#define GB_ATYPE \
int64_t
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t x = (*((const int64_t *) x_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
#undef GB_ATYPE
#define GB_ATYPE \
int64_t
}
//------------------------------------------------------------------------------
// C = op (A', y): transpose and apply a binary operator
//------------------------------------------------------------------------------
// cij = op (aij, y), no typecasting (in spite of the macro name)
#undef GB_CAST_OP
#define GB_CAST_OP(pC,pA) \
{ \
int64_t aij = Ax [pA] ; \
Cx [pC] = (aij != y) ; \
}
GrB_Info GB (_bind2nd_tran__ne_int64)
(
GrB_Matrix C,
const GrB_Matrix A,
const GB_void *y_input,
int64_t *restrict *Workspaces,
const int64_t *restrict A_slice,
int nworkspaces,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t y = (*((const int64_t *) y_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
GB_unaryop__identity_int64_int64.c | //------------------------------------------------------------------------------
// GB_unaryop: hard-coded functions for each built-in unary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2019, All Rights Reserved.
// http://suitesparse.com See GraphBLAS/Doc/License.txt for license.
//------------------------------------------------------------------------------
// If this file is in the Generated/ folder, do not edit it (auto-generated).
#include "GB.h"
#ifndef GBCOMPACT
#include "GB_control.h"
#include "GB_iterator.h"
#include "GB_unaryop__include.h"
// C=unop(A) is defined by the following types and operators:
// op(A) function: GB_unop__identity_int64_int64
// op(A') function: GB_tran__identity_int64_int64
// C type: int64_t
// A type: int64_t
// cast: int64_t cij = (int64_t) aij
// unaryop: cij = aij
#define GB_ATYPE \
int64_t
#define GB_CTYPE \
int64_t
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA) \
int64_t aij = Ax [pA]
#define GB_CX(p) Cx [p]
// unary operator
#define GB_OP(z, x) \
z = x ;
// casting
#define GB_CASTING(z, x) \
int64_t z = (int64_t) x ;
// cij = op (cast (aij))
#define GB_CAST_OP(pC,pA) \
{ \
/* aij = Ax [pA] */ \
GB_GETA (aij, Ax, pA) ; \
/* Cx [pC] = op (cast (aij)) */ \
GB_CASTING (x, aij) ; \
GB_OP (GB_CX (pC), x) ; \
}
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_IDENTITY || GxB_NO_INT64)
//------------------------------------------------------------------------------
// Cx = op (cast (Ax)): apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB_unop__identity_int64_int64
(
int64_t *restrict Cx,
const int64_t *restrict Ax,
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (int64_t p = 0 ; p < anz ; p++)
{
GB_CAST_OP (p, p) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (cast (A')): transpose, typecast, and apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB_tran__identity_int64_int64
(
GrB_Matrix C,
const GrB_Matrix A,
int64_t **Rowcounts,
GBI_single_iterator Iter,
const int64_t *restrict A_slice,
int naslice
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#define GB_PHASE_2_OF_2
#include "GB_unaryop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
3d25pt_var.lbpar.c | #include <omp.h>
#include <math.h>
#define ceild(n,d) ceil(((double)(n))/((double)(d)))
#define floord(n,d) floor(((double)(n))/((double)(d)))
#define max(x,y) ((x) > (y)? (x) : (y))
#define min(x,y) ((x) < (y)? (x) : (y))
/*
* Order-1, 3D 25 point stencil with axis-symmetric ariable coefficients
* Adapted from PLUTO and Pochoir test bench
*
* Tareq Malas
*/
#include <stdio.h>
#include <stdlib.h>
#include <sys/time.h>
#ifdef LIKWID_PERFMON
#include <likwid.h>
#endif
#include "print_utils.h"
#define TESTS 2
#define MAX(a,b) ((a) > (b) ? a : b)
#define MIN(a,b) ((a) < (b) ? a : b)
/* Subtract the `struct timeval' values X and Y,
* storing the result in RESULT.
*
* Return 1 if the difference is negative, otherwise 0.
*/
int timeval_subtract(struct timeval *result, struct timeval *x, struct timeval *y)
{
/* Perform the carry for the later subtraction by updating y. */
if (x->tv_usec < y->tv_usec)
{
int nsec = (y->tv_usec - x->tv_usec) / 1000000 + 1;
y->tv_usec -= 1000000 * nsec;
y->tv_sec += nsec;
}
if (x->tv_usec - y->tv_usec > 1000000)
{
int nsec = (x->tv_usec - y->tv_usec) / 1000000;
y->tv_usec += 1000000 * nsec;
y->tv_sec -= nsec;
}
/* Compute the time remaining to wait.
* tv_usec is certainly positive.
*/
result->tv_sec = x->tv_sec - y->tv_sec;
result->tv_usec = x->tv_usec - y->tv_usec;
/* Return 1 if result is negative. */
return x->tv_sec < y->tv_sec;
}
int main(int argc, char *argv[])
{
int t, i, j, k, m, test;
int Nx, Ny, Nz, Nt;
if (argc > 3) {
Nx = atoi(argv[1])+8;
Ny = atoi(argv[2])+8;
Nz = atoi(argv[3])+8;
}
if (argc > 4)
Nt = atoi(argv[4]);
// allocate the arrays
double ****A = (double ****) malloc(sizeof(double***)*2);
for(m=0; m<2;m++){
A[m] = (double ***) malloc(sizeof(double**)*Nz);
for(i=0; i<Nz; i++){
A[m][i] = (double**) malloc(sizeof(double*)*Ny);
for(j=0;j<Ny;j++){
A[m][i][j] = (double*) malloc(sizeof(double)*Nx);
}
}
}
double ****coef = (double ****) malloc(sizeof(double***)*13);
for(m=0; m<13;m++){
coef[m] = (double ***) malloc(sizeof(double**)*Nz);
for(i=0; i<Nz; i++){
coef[m][i] = (double**) malloc(sizeof(double*)*Ny);
for(j=0;j<Ny;j++){
coef[m][i][j] = (double*) malloc(sizeof(double)*Nx);
}
}
}
// tile size information, including extra element to decide the list length
int *tile_size = (int*) malloc(sizeof(int));
tile_size[0] = -1;
// The list is modified here before source-to-source transformations
tile_size = (int*) realloc((void *)tile_size, sizeof(int)*5);
tile_size[0] = 8;
tile_size[1] = 8;
tile_size[2] = 8;
tile_size[3] = 512;
tile_size[4] = -1;
// for timekeeping
int ts_return = -1;
struct timeval start, end, result;
double tdiff = 0.0, min_tdiff=1.e100;
const int BASE = 1024;
// initialize variables
//
srand(42);
for (i = 1; i < Nz; i++) {
for (j = 1; j < Ny; j++) {
for (k = 1; k < Nx; k++) {
A[0][i][j][k] = 1.0 * (rand() % BASE);
}
}
}
for (m=0; m<13; m++) {
for (i=1; i<Nz; i++) {
for (j=1; j<Ny; j++) {
for (k=1; k<Nx; k++) {
coef[m][i][j][k] = 1.0 * (rand() % BASE);
}
}
}
}
#ifdef LIKWID_PERFMON
LIKWID_MARKER_INIT;
#pragma omp parallel
{
LIKWID_MARKER_THREADINIT;
#pragma omp barrier
LIKWID_MARKER_START("calc");
}
#endif
int num_threads = 1;
#if defined(_OPENMP)
num_threads = omp_get_max_threads();
#endif
for(test=0; test<TESTS; test++){
gettimeofday(&start, 0);
// serial execution - Addition: 6 && Multiplication: 2
/* Copyright (C) 1991-2014 Free Software Foundation, Inc.
This file is part of the GNU C Library.
The GNU C Library is free software; you can redistribute it and/or
modify it under the terms of the GNU Lesser General Public
License as published by the Free Software Foundation; either
version 2.1 of the License, or (at your option) any later version.
The GNU C Library is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
Lesser General Public License for more details.
You should have received a copy of the GNU Lesser General Public
License along with the GNU C Library; if not, see
<http://www.gnu.org/licenses/>. */
/* This header is separate from features.h so that the compiler can
include it implicitly at the start of every compilation. It must
not itself include <features.h> or any other header that includes
<features.h> because the implicit include comes before any feature
test macros that may be defined in a source file before it first
explicitly includes a system header. GCC knows the name of this
header in order to preinclude it. */
/* glibc's intent is to support the IEC 559 math functionality, real
and complex. If the GCC (4.9 and later) predefined macros
specifying compiler intent are available, use them to determine
whether the overall intent is to support these features; otherwise,
presume an older compiler has intent to support these features and
define these macros by default. */
/* wchar_t uses ISO/IEC 10646 (2nd ed., published 2011-03-15) /
Unicode 6.0. */
/* We do not support C11 <threads.h>. */
int t1, t2, t3, t4, t5, t6, t7, t8;
int lb, ub, lbp, ubp, lb2, ub2;
register int lbv, ubv;
/* Start of CLooG code */
if ((Nt >= 1) && (Nx >= 9) && (Ny >= 9) && (Nz >= 9)) {
for (t1=-1;t1<=Nt-1;t1++) {
lbp=ceild(t1+1,2);
ubp=min(floord(4*Nt+Nz-9,8),floord(4*t1+Nz-2,8));
#pragma omp parallel for private(lbv,ubv,t3,t4,t5,t6,t7,t8)
for (t2=lbp;t2<=ubp;t2++) {
for (t3=max(ceild(t1,2),ceild(8*t2-Nz+5,8));t3<=min(floord(4*Nt+Ny-9,8),floord(4*t1+Ny-1,8));t3++) {
for (t4=max(max(ceild(t1-126,128),ceild(8*t2-Nz-499,512)),ceild(8*t3-Ny-499,512));t4<=min(min(floord(4*Nt+Nx-9,512),floord(4*t1+Nx-1,512)),floord(8*t3+Nx-5,512));t4++) {
for (t5=max(max(max(max(0,ceild(8*t2-Nz+5,4)),ceild(8*t3-Ny+5,4)),ceild(512*t4-Nx+5,4)),t1);t5<=min(min(min(2*t3,Nt-1),t1+1),128*t4+126);t5++) {
for (t6=max(max(8*t2,4*t5+4),-8*t1+8*t2+8*t5-7);t6<=min(min(8*t2+7,-8*t1+8*t2+8*t5),4*t5+Nz-5);t6++) {
for (t7=max(8*t3,4*t5+4);t7<=min(8*t3+7,4*t5+Ny-5);t7++) {
lbv=max(512*t4,4*t5+4);
ubv=min(512*t4+511,4*t5+Nx-5);
#pragma ivdep
#pragma vector always
for (t8=lbv;t8<=ubv;t8++) {
A[( t5 + 1) % 2][ (-4*t5+t6)][ (-4*t5+t7)][ (-4*t5+t8)] = (((((((((((((coef[0][ (-4*t5+t6)][ (-4*t5+t7)][ (-4*t5+t8)] * A[ t5 % 2][ (-4*t5+t6)][ (-4*t5+t7)][ (-4*t5+t8)]) + (coef[1][ (-4*t5+t6)][ (-4*t5+t7)][ (-4*t5+t8)] * (A[ t5 % 2][ (-4*t5+t6) - 1][ (-4*t5+t7)][ (-4*t5+t8)] + A[ t5 % 2][ (-4*t5+t6) + 1][ (-4*t5+t7)][ (-4*t5+t8)]))) + (coef[2][ (-4*t5+t6)][ (-4*t5+t7)][ (-4*t5+t8)] * (A[ t5 % 2][ (-4*t5+t6)][ (-4*t5+t7) - 1][ (-4*t5+t8)] + A[ t5 % 2][ (-4*t5+t6)][ (-4*t5+t7) + 1][ (-4*t5+t8)]))) + (coef[3][ (-4*t5+t6)][ (-4*t5+t7)][ (-4*t5+t8)] * (A[ t5 % 2][ (-4*t5+t6)][ (-4*t5+t7)][ (-4*t5+t8) - 1] + A[ t5 % 2][ (-4*t5+t6)][ (-4*t5+t7)][ (-4*t5+t8) + 1]))) + (coef[4][ (-4*t5+t6)][ (-4*t5+t7)][ (-4*t5+t8)] * (A[ t5 % 2][ (-4*t5+t6) - 2][ (-4*t5+t7)][ (-4*t5+t8)] + A[ t5 % 2][ (-4*t5+t6) + 2][ (-4*t5+t7)][ (-4*t5+t8)]))) + (coef[5][ (-4*t5+t6)][ (-4*t5+t7)][ (-4*t5+t8)] * (A[ t5 % 2][ (-4*t5+t6)][ (-4*t5+t7) - 2][ (-4*t5+t8)] + A[ t5 % 2][ (-4*t5+t6)][ (-4*t5+t7) + 2][ (-4*t5+t8)]))) + (coef[6][ (-4*t5+t6)][ (-4*t5+t7)][ (-4*t5+t8)] * (A[ t5 % 2][ (-4*t5+t6)][ (-4*t5+t7)][ (-4*t5+t8) - 2] + A[ t5 % 2][ (-4*t5+t6)][ (-4*t5+t7)][ (-4*t5+t8) + 2]))) + (coef[7][ (-4*t5+t6)][ (-4*t5+t7)][ (-4*t5+t8)] * (A[ t5 % 2][ (-4*t5+t6) - 3][ (-4*t5+t7)][ (-4*t5+t8)] + A[ t5 % 2][ (-4*t5+t6) + 3][ (-4*t5+t7)][ (-4*t5+t8)]))) + (coef[8][ (-4*t5+t6)][ (-4*t5+t7)][ (-4*t5+t8)] * (A[ t5 % 2][ (-4*t5+t6)][ (-4*t5+t7) - 3][ (-4*t5+t8)] + A[ t5 % 2][ (-4*t5+t6)][ (-4*t5+t7) + 3][ (-4*t5+t8)]))) + (coef[9][ (-4*t5+t6)][ (-4*t5+t7)][ (-4*t5+t8)] * (A[ t5 % 2][ (-4*t5+t6)][ (-4*t5+t7)][ (-4*t5+t8) - 3] + A[ t5 % 2][ (-4*t5+t6)][ (-4*t5+t7)][ (-4*t5+t8) + 3]))) + (coef[10][ (-4*t5+t6)][ (-4*t5+t7)][ (-4*t5+t8)] * (A[ t5 % 2][ (-4*t5+t6) - 4][ (-4*t5+t7)][ (-4*t5+t8)] + A[ t5 % 2][ (-4*t5+t6) + 4][ (-4*t5+t7)][ (-4*t5+t8)]))) + (coef[11][ (-4*t5+t6)][ (-4*t5+t7)][ (-4*t5+t8)] * (A[ t5 % 2][ (-4*t5+t6)][ (-4*t5+t7) - 4][ (-4*t5+t8)] + A[ t5 % 2][ (-4*t5+t6)][ (-4*t5+t7) + 4][ (-4*t5+t8)]))) + (coef[12][ (-4*t5+t6)][ (-4*t5+t7)][ (-4*t5+t8)] * (A[ t5 % 2][ (-4*t5+t6)][ (-4*t5+t7)][ (-4*t5+t8) - 4] + A[ t5 % 2][ (-4*t5+t6)][ (-4*t5+t7)][ (-4*t5+t8) + 4])));;
}
}
}
}
}
}
}
}
}
/* End of CLooG code */
gettimeofday(&end, 0);
ts_return = timeval_subtract(&result, &end, &start);
tdiff = (double) (result.tv_sec + result.tv_usec * 1.0e-6);
min_tdiff = min(min_tdiff, tdiff);
printf("Rank 0 TEST# %d time: %f\n", test, tdiff);
}
PRINT_RESULTS(4, "variable axis-symmetric")
#ifdef LIKWID_PERFMON
#pragma omp parallel
{
LIKWID_MARKER_STOP("calc");
}
LIKWID_MARKER_CLOSE;
#endif
// Free allocated arrays
for(i=0; i<Nz; i++){
for(j=0;j<Ny;j++){
free(A[0][i][j]);
free(A[1][i][j]);
}
free(A[0][i]);
free(A[1][i]);
}
free(A[0]);
free(A[1]);
for(m=0; m<13;m++){
for(i=0; i<Nz; i++){
for(j=0;j<Ny;j++){
free(coef[m][i][j]);
}
free(coef[m][i]);
}
free(coef[m]);
}
return 0;
}
|
pvector.h | // Copyright (c) 2015, The Regents of the University of California (Regents)
// See LICENSE.txt for license details
#ifndef PVECTOR_H_
#define PVECTOR_H_
#include <algorithm>
//#include "path to arrays.h"
/*
GAP Benchmark Suite
Class: pvector
Author: Scott Beamer
Vector class with ability to not initialize or do initialize in parallel
- std::vector (when resizing) will always initialize, and does it serially
- When pvector is resized, new elements are uninitialized
- Resizing is not thread-safe
*/
template <typename T_>
class pvector {
public:
typedef ArrayIter<T_> iterator;
pvector() : arr_(nullptr), elements_(0), capacity_(0) {}
explicit pvector(size_t num_elements) {
arr_ = new Array<T_>(num_elements);
elements_ = num_elements;
capacity_ = num_elements;
}
pvector(size_t num_elements, T_ init_val) : pvector(num_elements) {
fill(init_val);
}
pvector(iterator copy_begin, iterator copy_end)
: pvector(copy_end - copy_begin) {
#pragma omp parallel for
for (size_t i=0; i < capacity(); i++)
arr_[i] = copy_begin[i];
}
// don't want this to be copied, too much data to move
pvector(const pvector &other) = delete;
// prefer move because too much data to copy
pvector(pvector &&other)
: arr_(other.arr_), elements_(other.elements_), capacity_(other.capacity_) {
other.arr_ = nullptr;
other.elements_ = 0;
other.capacity_ = 0;
}
// want move assignment
pvector& operator= (pvector &&other) {
arr_ = other.arr_;
elements_ = other.elements_;
capacity_ = other.capacity_;
other.arr_ = nullptr;
other.elements_ = 0;
other.capacity_ = 0;
return *this;
}
~pvector() {
if (arr_ != nullptr)
delete arr_;
}
// not thread-safe
void reserve(size_t num_elements) {
if (num_elements > capacity()) {
Array<T_>* new_range = new Array<T_>(num_elements);
#pragma omp parallel for
for (size_t i=0; i < size(); i++)
new_range[i] = arr_[i];
delete arr_;
arr_ = new_range;
// elements_ does not change, just adding space
capacity_ = num_elements;
}
}
bool empty() {
return elements_ = 0;
}
void clear() {
elements_ = 0;
}
void resize(size_t num_elements) {
reserve(num_elements);
}
T_& operator[](size_t n) {
return (*arr_)[n];
}
const T_& operator[](size_t n) const {
return (*arr_)[n];
}
void push_back(T_ val) {
if (size() == capacity()) {
size_t new_size = capacity() == 0 ? 1 : capacity() * growth_factor;
reserve(new_size);
}
(*arr_)[elements_] = val;
elements_++;
}
void fill(T_ init_val) {
#pragma omp parallel for
for (size_t i=0; i < elements_; i++)
(*arr_)[i] = init_val;
}
size_t capacity() const {
return capacity_;
}
size_t size() const {
return elements_;
}
iterator begin() const {
return iterator(arr_);
}
iterator end() const {
iterator tmp = iterator(arr_);
tmp += elements_;
return tmp;
}
//TODO eliminate
T_* data() const {
return &((*arr_)[0]);
}
void swap(pvector &other) {
std::swap(arr_, other.arr_);
std::swap(elements_, other.elements_);
std::swap(capacity_, other.capacity_);
}
private:
Array<T_>* arr_;
size_t elements_;
size_t capacity_;
static const size_t growth_factor = 2;
};
#endif // PVECTOR_H_
|
wpapsk_fmt_plug.c | /*
* This software is Copyright (c) 2012 Lukas Odzioba <ukasz at openwall dot net>
* and it is hereby released to the general public under the following terms:
* Redistribution and use in source and binary forms, with or without
* modification, are permitted.
*
* Code is based on Aircrack-ng source
*
* SSE2 code enhancement, Jim Fougeron, Jan, 2013.
* Also removed oSSL EVP code and coded what it does (which is simple), inline.
*/
#if FMT_EXTERNS_H
extern struct fmt_main fmt_wpapsk;
#elif FMT_REGISTERS_H
john_register_one(&fmt_wpapsk);
#else
#include <string.h>
#include <assert.h>
#include "arch.h"
#include "simd-intrinsics.h"
#include "formats.h"
#include "common.h"
#include "misc.h"
//#define WPAPSK_DEBUG
#include "wpapsk.h"
#include "sha.h"
// if this is uncommented, we will force building of SSE to be 'off'. It is
// useful in testing but 99.9% of the builds should have this undef commented out.
//#undef SIMD_COEF_32
#ifdef SIMD_COEF_32
#define NBKEYS (SIMD_COEF_32 * SIMD_PARA_SHA1)
#ifdef _OPENMP
#include <omp.h>
#endif
#else
#define NBKEYS 1
#ifdef _OPENMP
#include <omp.h>
#endif
#endif
#include "memdbg.h"
#define FORMAT_LABEL "wpapsk"
#if !HAVE_OPENSSL_CMAC_H
#warning Notice: WPAPSK (CPU) format built without support for 802.11w. Upgrade your OpenSSL.
#define FORMAT_NAME "WPA/WPA2 PSK"
#else
#define FORMAT_NAME "WPA/WPA2/PMF PSK"
#endif
#define ALGORITHM_NAME "PBKDF2-SHA1 " SHA1_ALGORITHM_NAME
#define MIN_KEYS_PER_CRYPT NBKEYS
#define MAX_KEYS_PER_CRYPT NBKEYS
extern wpapsk_password *inbuffer;
extern wpapsk_hash *outbuffer;
extern wpapsk_salt currentsalt;
extern hccap_t hccap;
extern mic_t *mic;
#ifdef SIMD_COEF_32
// Ok, now we have our MMX/SSE2/intr buffer.
// this version works properly for MMX, SSE2 (.S) and SSE2 intrinsic.
#define GETPOS(i, index) ( (index&(SIMD_COEF_32-1))*4 + ((i)&(0xffffffff-3) )*SIMD_COEF_32 + (3-((i)&3)) + (unsigned int)index/SIMD_COEF_32*SHA_BUF_SIZ*SIMD_COEF_32*4 ) //for endianity conversion
static unsigned char (*sse_hash1);
static unsigned char (*sse_crypt1);
static unsigned char (*sse_crypt2);
static unsigned char (*sse_crypt);
#endif
static void init(struct fmt_main *self)
{
#ifdef _OPENMP
int omp_t = omp_get_max_threads();
self->params.min_keys_per_crypt *= omp_t;
self->params.max_keys_per_crypt *= omp_t;
#endif
assert(sizeof(hccap_t) == HCCAP_SIZE);
inbuffer = mem_alloc(sizeof(*inbuffer) *
self->params.max_keys_per_crypt);
outbuffer = mem_alloc(sizeof(*outbuffer) *
self->params.max_keys_per_crypt);
mic = mem_alloc(sizeof(*mic) *
self->params.max_keys_per_crypt);
#if defined (SIMD_COEF_32)
sse_hash1 = mem_calloc_align(self->params.max_keys_per_crypt,
SHA_BUF_SIZ * 4 * sizeof(*sse_hash1),
MEM_ALIGN_SIMD);
sse_crypt1 = mem_calloc_align(self->params.max_keys_per_crypt,
20 * sizeof(*sse_crypt1), MEM_ALIGN_SIMD);
sse_crypt2 = mem_calloc_align(self->params.max_keys_per_crypt,
20 * sizeof(*sse_crypt2), MEM_ALIGN_SIMD);
sse_crypt = mem_calloc_align(self->params.max_keys_per_crypt,
20 * sizeof(*sse_crypt), MEM_ALIGN_SIMD);
{
int index;
for (index = 0; index < self->params.max_keys_per_crypt; ++index) {
// set the length of all hash1 SSE buffer to 64+20 * 8 bits. The 64 is for the ipad/opad,
// the 20 is for the length of the SHA1 buffer that also gets into each crypt.
// Works for SSE2i and SSE2
((unsigned int *)sse_hash1)[15*SIMD_COEF_32 + (index&(SIMD_COEF_32-1)) + (unsigned int)index/SIMD_COEF_32*SHA_BUF_SIZ*SIMD_COEF_32] = (84<<3); // all encrypts are 64+20 bytes.
sse_hash1[GETPOS(20,index)] = 0x80;
}
}
// From this point on, we ONLY touch the first 20 bytes (* SIMD_COEF_32) of each buffer 'block'. If !SHA_PARA', then only the first
// block is written to after this, if there are more that one SHA_PARA, then the start of each para block will be updated inside the inner loop.
#endif
/*
* Zeroize the lengths in case crypt_all() is called with some keys still
* not set. This may happen during self-tests.
*/
{
int i;
for (i = 0; i < self->params.max_keys_per_crypt; i++)
inbuffer[i].length = 0;
}
}
static void done(void)
{
#ifdef SIMD_COEF_32
MEM_FREE(sse_crypt);
MEM_FREE(sse_crypt2);
MEM_FREE(sse_crypt1);
MEM_FREE(sse_hash1);
#endif
MEM_FREE(mic);
MEM_FREE(outbuffer);
MEM_FREE(inbuffer);
}
#ifndef SIMD_COEF_32
static MAYBE_INLINE void wpapsk_cpu(int count,
wpapsk_password * in, wpapsk_hash * out, wpapsk_salt * salt)
{
int j;
int slen = salt->length + 4;
#ifdef _OPENMP
#pragma omp parallel for default(none) private(j) shared(count, slen, salt, in, out)
#endif
for (j = 0; j < count; j++) {
int i, k;
unsigned char essid[32 + 4];
union {
unsigned char c[64];
uint32_t i[16];
} buffer;
union {
unsigned char c[40];
uint32_t i[10];
} outbuf;
SHA_CTX ctx_ipad;
SHA_CTX ctx_opad;
SHA_CTX sha1_ctx;
memset(essid, 0, 32 + 4);
memcpy(essid, salt->salt, salt->length);
memset(buffer.c, 0, 64);
memcpy(buffer.c, in[j].v, in[j].length);
SHA1_Init(&ctx_ipad);
SHA1_Init(&ctx_opad);
for (i = 0; i < 16; i++)
buffer.i[i] ^= 0x36363636;
SHA1_Update(&ctx_ipad, buffer.c, 64);
for (i = 0; i < 16; i++)
buffer.i[i] ^= 0x6a6a6a6a;
SHA1_Update(&ctx_opad, buffer.c, 64);
essid[slen - 1] = 1;
memcpy(&sha1_ctx, &ctx_ipad, sizeof(sha1_ctx));
SHA1_Update(&sha1_ctx, essid, slen);
SHA1_Final(outbuf.c, &sha1_ctx);
memcpy(&sha1_ctx, &ctx_opad, sizeof(sha1_ctx));
SHA1_Update(&sha1_ctx, outbuf.c, 20);
SHA1_Final(outbuf.c, &sha1_ctx);
memcpy(buffer.c, outbuf.c, 20);
for (i = 1; i < 4096; i++) {
memcpy(&sha1_ctx, &ctx_ipad, sizeof(sha1_ctx));
SHA1_Update(&sha1_ctx, buffer.c, 20);
SHA1_Final(buffer.c, &sha1_ctx);
memcpy(&sha1_ctx, &ctx_opad, sizeof(sha1_ctx));
SHA1_Update(&sha1_ctx, buffer.c, 20);
SHA1_Final(buffer.c, &sha1_ctx);
for (k = 0; k < 5; k++)
outbuf.i[k] ^= buffer.i[k];
}
essid[slen - 1] = 2;
memcpy(&sha1_ctx, &ctx_ipad, sizeof(sha1_ctx));
SHA1_Update(&sha1_ctx, essid, slen);
SHA1_Final(&outbuf.c[20], &sha1_ctx);
memcpy(&sha1_ctx, &ctx_opad, sizeof(sha1_ctx));
SHA1_Update(&sha1_ctx, &outbuf.c[20], 20);
SHA1_Final(&outbuf.c[20], &sha1_ctx);
memcpy(buffer.c, &outbuf.c[20], 20);
for (i = 1; i < 4096; i++) {
memcpy(&sha1_ctx, &ctx_ipad, sizeof(sha1_ctx));
SHA1_Update(&sha1_ctx, buffer.c, 20);
SHA1_Final(buffer.c, &sha1_ctx);
memcpy(&sha1_ctx, &ctx_opad, sizeof(sha1_ctx));
SHA1_Update(&sha1_ctx, buffer.c, 20);
SHA1_Final(buffer.c, &sha1_ctx);
for (k = 5; k < 8; k++)
outbuf.i[k] ^= buffer.i[k - 5];
}
memcpy(&out[j], outbuf.c, 32);
}
}
#else
static MAYBE_INLINE void wpapsk_sse(int count, wpapsk_password * in, wpapsk_hash * out, wpapsk_salt * salt)
{
int t; // thread count
int slen = salt->length + 4;
int loops = (count+NBKEYS-1) / NBKEYS;
#ifdef _OPENMP
#pragma omp parallel for default(none) private(t) shared(count, slen, salt, in, out, loops, sse_crypt1, sse_crypt2, sse_hash1)
#endif
for (t = 0; t < loops; t++) {
unsigned int i, k, j;
unsigned char essid[32 + 4];
union {
unsigned char c[64];
uint32_t i[16];
} buffer[NBKEYS];
union {
unsigned char c[40];
uint32_t i[10];
} outbuf[NBKEYS];
SHA_CTX ctx_ipad[NBKEYS];
SHA_CTX ctx_opad[NBKEYS];
SHA_CTX sha1_ctx;
unsigned int *i1, *i2, *o1;
unsigned char *t_sse_crypt1, *t_sse_crypt2, *t_sse_hash1;
// All pointers get their offset for this thread here. No further offsetting below.
t_sse_crypt1 = &sse_crypt1[t * NBKEYS * 20];
t_sse_crypt2 = &sse_crypt2[t * NBKEYS * 20];
t_sse_hash1 = &sse_hash1[t * NBKEYS * SHA_BUF_SIZ * 4];
i1 = (unsigned int*)t_sse_crypt1;
i2 = (unsigned int*)t_sse_crypt2;
o1 = (unsigned int*)t_sse_hash1;
memset(essid, 0, 32 + 4);
memcpy(essid, salt->salt, salt->length);
for (j = 0; j < NBKEYS; ++j) {
memcpy(buffer[j].c, in[t*NBKEYS+j].v, in[t*NBKEYS+j].length);
memset(&buffer[j].c[in[t*NBKEYS+j].length], 0, 64-in[t*NBKEYS+j].length);
SHA1_Init(&ctx_ipad[j]);
SHA1_Init(&ctx_opad[j]);
for (i = 0; i < 16; i++)
buffer[j].i[i] ^= 0x36363636;
SHA1_Update(&ctx_ipad[j], buffer[j].c, 64);
for (i = 0; i < 16; i++)
buffer[j].i[i] ^= 0x6a6a6a6a;
SHA1_Update(&ctx_opad[j], buffer[j].c, 64);
// we memcopy from flat into SIMD_COEF_32 output buffer's (our 'temp' ctx buffer).
// This data will NOT need to be BE swapped (it already IS BE swapped).
i1[(j/SIMD_COEF_32)*SIMD_COEF_32*5+(j&(SIMD_COEF_32-1))+0*SIMD_COEF_32] = ctx_ipad[j].h0;
i1[(j/SIMD_COEF_32)*SIMD_COEF_32*5+(j&(SIMD_COEF_32-1))+1*SIMD_COEF_32] = ctx_ipad[j].h1;
i1[(j/SIMD_COEF_32)*SIMD_COEF_32*5+(j&(SIMD_COEF_32-1))+2*SIMD_COEF_32] = ctx_ipad[j].h2;
i1[(j/SIMD_COEF_32)*SIMD_COEF_32*5+(j&(SIMD_COEF_32-1))+3*SIMD_COEF_32] = ctx_ipad[j].h3;
i1[(j/SIMD_COEF_32)*SIMD_COEF_32*5+(j&(SIMD_COEF_32-1))+4*SIMD_COEF_32] = ctx_ipad[j].h4;
i2[(j/SIMD_COEF_32)*SIMD_COEF_32*5+(j&(SIMD_COEF_32-1))+0*SIMD_COEF_32] = ctx_opad[j].h0;
i2[(j/SIMD_COEF_32)*SIMD_COEF_32*5+(j&(SIMD_COEF_32-1))+1*SIMD_COEF_32] = ctx_opad[j].h1;
i2[(j/SIMD_COEF_32)*SIMD_COEF_32*5+(j&(SIMD_COEF_32-1))+2*SIMD_COEF_32] = ctx_opad[j].h2;
i2[(j/SIMD_COEF_32)*SIMD_COEF_32*5+(j&(SIMD_COEF_32-1))+3*SIMD_COEF_32] = ctx_opad[j].h3;
i2[(j/SIMD_COEF_32)*SIMD_COEF_32*5+(j&(SIMD_COEF_32-1))+4*SIMD_COEF_32] = ctx_opad[j].h4;
essid[slen - 1] = 1;
memcpy(&sha1_ctx, &ctx_ipad[j], sizeof(sha1_ctx));
SHA1_Update(&sha1_ctx, essid, slen);
SHA1_Final(outbuf[j].c, &sha1_ctx);
memcpy(&sha1_ctx, &ctx_opad[j], sizeof(sha1_ctx));
SHA1_Update(&sha1_ctx, outbuf[j].c, SHA_DIGEST_LENGTH);
SHA1_Final(outbuf[j].c, &sha1_ctx);
// memcpy(buffer[j].c, &outbuf[j], 20);
// now convert this from flat into SIMD_COEF_32 buffers. (same as the memcpy() commented out in the last line)
// Also, perform the 'first' ^= into the crypt buffer. NOTE, we are doing that in BE format
// so we will need to 'undo' that in the end.
o1[(j/SIMD_COEF_32)*SIMD_COEF_32*SHA_BUF_SIZ+(j&(SIMD_COEF_32-1))+0*SIMD_COEF_32] = outbuf[j].i[0] = sha1_ctx.h0;
o1[(j/SIMD_COEF_32)*SIMD_COEF_32*SHA_BUF_SIZ+(j&(SIMD_COEF_32-1))+1*SIMD_COEF_32] = outbuf[j].i[1] = sha1_ctx.h1;
o1[(j/SIMD_COEF_32)*SIMD_COEF_32*SHA_BUF_SIZ+(j&(SIMD_COEF_32-1))+2*SIMD_COEF_32] = outbuf[j].i[2] = sha1_ctx.h2;
o1[(j/SIMD_COEF_32)*SIMD_COEF_32*SHA_BUF_SIZ+(j&(SIMD_COEF_32-1))+3*SIMD_COEF_32] = outbuf[j].i[3] = sha1_ctx.h3;
o1[(j/SIMD_COEF_32)*SIMD_COEF_32*SHA_BUF_SIZ+(j&(SIMD_COEF_32-1))+4*SIMD_COEF_32] = outbuf[j].i[4] = sha1_ctx.h4;
}
for (i = 1; i < 4096; i++) {
SIMDSHA1body((unsigned int*)t_sse_hash1, (unsigned int*)t_sse_hash1, (unsigned int*)t_sse_crypt1, SSEi_MIXED_IN|SSEi_RELOAD|SSEi_OUTPUT_AS_INP_FMT);
SIMDSHA1body((unsigned int*)t_sse_hash1, (unsigned int*)t_sse_hash1, (unsigned int*)t_sse_crypt2, SSEi_MIXED_IN|SSEi_RELOAD|SSEi_OUTPUT_AS_INP_FMT);
for (j = 0; j < NBKEYS; j++) {
unsigned *p = &((unsigned int*)t_sse_hash1)[(((j/SIMD_COEF_32)*SHA_BUF_SIZ)*SIMD_COEF_32) + (j&(SIMD_COEF_32-1))];
for (k = 0; k < 5; k++)
outbuf[j].i[k] ^= p[(k*SIMD_COEF_32)];
}
}
essid[slen - 1] = 2;
for (j = 0; j < NBKEYS; ++j) {
memcpy(&sha1_ctx, &ctx_ipad[j], sizeof(sha1_ctx));
SHA1_Update(&sha1_ctx, essid, slen);
SHA1_Final(&outbuf[j].c[20], &sha1_ctx);
memcpy(&sha1_ctx, &ctx_opad[j], sizeof(sha1_ctx));
SHA1_Update(&sha1_ctx, &outbuf[j].c[20], 20);
SHA1_Final(&outbuf[j].c[20], &sha1_ctx);
// memcpy(&buffer[j], &outbuf[j].c[20], 20);
// now convert this from flat into SIMD_COEF_32 buffers. (same as the memcpy() commented out in the last line)
// Also, perform the 'first' ^= into the crypt buffer. NOTE, we are doing that in BE format
// so we will need to 'undo' that in the end. (only 3 dwords of the 2nd block outbuf are worked with).
o1[(j/SIMD_COEF_32)*SIMD_COEF_32*SHA_BUF_SIZ+(j&(SIMD_COEF_32-1))+0*SIMD_COEF_32] = outbuf[j].i[5] = sha1_ctx.h0;
o1[(j/SIMD_COEF_32)*SIMD_COEF_32*SHA_BUF_SIZ+(j&(SIMD_COEF_32-1))+1*SIMD_COEF_32] = outbuf[j].i[6] = sha1_ctx.h1;
o1[(j/SIMD_COEF_32)*SIMD_COEF_32*SHA_BUF_SIZ+(j&(SIMD_COEF_32-1))+2*SIMD_COEF_32] = outbuf[j].i[7] = sha1_ctx.h2;
o1[(j/SIMD_COEF_32)*SIMD_COEF_32*SHA_BUF_SIZ+(j&(SIMD_COEF_32-1))+3*SIMD_COEF_32] = sha1_ctx.h3;
o1[(j/SIMD_COEF_32)*SIMD_COEF_32*SHA_BUF_SIZ+(j&(SIMD_COEF_32-1))+4*SIMD_COEF_32] = sha1_ctx.h4;
}
for (i = 1; i < 4096; i++) {
SIMDSHA1body((unsigned int*)t_sse_hash1, (unsigned int*)t_sse_hash1, (unsigned int*)t_sse_crypt1, SSEi_MIXED_IN|SSEi_RELOAD|SSEi_OUTPUT_AS_INP_FMT);
SIMDSHA1body((unsigned int*)t_sse_hash1, (unsigned int*)t_sse_hash1, (unsigned int*)t_sse_crypt2, SSEi_MIXED_IN|SSEi_RELOAD|SSEi_OUTPUT_AS_INP_FMT);
for (j = 0; j < NBKEYS; j++) {
unsigned *p = &((unsigned int*)t_sse_hash1)[(((j/SIMD_COEF_32)*SHA_BUF_SIZ)*SIMD_COEF_32) + (j&(SIMD_COEF_32-1))];
for (k = 5; k < 8; k++)
outbuf[j].i[k] ^= p[((k-5)*SIMD_COEF_32)];
}
}
for (j = 0; j < NBKEYS; ++j) {
// the BE() convert should be done in binary, BUT since we use 'common' code for
// get_binary(), which is shared between CPU and OpenCL, we have to do it here.
memcpy(out[t*NBKEYS+j].v, outbuf[j].c, 32);
alter_endianity_to_BE(out[t*NBKEYS+j].v,8);
}
}
}
#endif
static int crypt_all(int *pcount, struct db_salt *salt)
{
const int count = *pcount;
extern volatile int bench_running;
if (new_keys || strcmp(last_ssid, hccap.essid) || bench_running) {
#ifndef SIMD_COEF_32
wpapsk_cpu(count, inbuffer, outbuffer, ¤tsalt);
#else
wpapsk_sse(count, inbuffer, outbuffer, ¤tsalt);
#endif
new_keys = 0;
strcpy(last_ssid, hccap.essid);
}
wpapsk_postprocess(count);
return count;
}
struct fmt_main fmt_wpapsk = {
{
FORMAT_LABEL,
FORMAT_NAME,
ALGORITHM_NAME,
BENCHMARK_COMMENT,
BENCHMARK_LENGTH,
8,
PLAINTEXT_LENGTH,
BINARY_SIZE,
BINARY_ALIGN,
SALT_SIZE,
SALT_ALIGN,
MIN_KEYS_PER_CRYPT,
MAX_KEYS_PER_CRYPT,
FMT_CASE | FMT_OMP,
{
#if HAVE_OPENSSL_CMAC_H
"key version [1:WPA 2:WPA2 3:802.11w]"
#else
"key version [1:WPA 2:WPA2]"
#endif
},
{ FORMAT_TAG },
tests
},
{
init,
done,
fmt_default_reset,
fmt_default_prepare,
valid,
fmt_default_split,
get_binary,
get_salt,
{
get_keyver,
},
fmt_default_source,
{
binary_hash_0,
fmt_default_binary_hash_1,
fmt_default_binary_hash_2,
fmt_default_binary_hash_3,
fmt_default_binary_hash_4,
fmt_default_binary_hash_5,
fmt_default_binary_hash_6
},
fmt_default_salt_hash,
salt_compare,
set_salt,
set_key,
get_key,
clear_keys,
crypt_all,
{
get_hash_0,
get_hash_1,
get_hash_2,
get_hash_3,
get_hash_4,
get_hash_5,
get_hash_6
},
cmp_all,
cmp_one,
cmp_exact
}
};
#endif /* plugin stanza */
|
SplineR2RAdoptor.h | //////////////////////////////////////////////////////////////////////////////////////
// This file is distributed under the University of Illinois/NCSA Open Source License.
// See LICENSE file in top directory for details.
//
// Copyright (c) 2016 Jeongnim Kim and QMCPACK developers.
//
// File developed by: Jeremy McMinnis, jmcminis@gmail.com, University of Illinois at Urbana-Champaign
// Jeongnim Kim, jeongnim.kim@gmail.com, University of Illinois at Urbana-Champaign
// Mark A. Berrill, berrillma@ornl.gov, Oak Ridge National Laboratory
//
// File created by: Jeongnim Kim, jeongnim.kim@gmail.com, University of Illinois at Urbana-Champaign
//////////////////////////////////////////////////////////////////////////////////////
#ifndef QMCPLUSPLUS_EINSPLINE_R2RSOA_ADOPTOR_H
#define QMCPLUSPLUS_EINSPLINE_R2RSOA_ADOPTOR_H
#include <OhmmsSoA/Container.h>
#include <spline2/MultiBspline.hpp>
#include "QMCWaveFunctions/BsplineFactory/SplineAdoptorBase.h"
namespace qmcplusplus
{
/** adoptor class to match std::complex<ST> spline with TT real SPOs
* @tparam ST precision of spline
* @tparam TT precision of SPOs
* @tparam D dimension
*
* Requires temporage storage and multiplication of phase vectors
*/
template<typename ST, typename TT>
struct SplineR2RSoA: public SplineAdoptorBase<ST,3>
{
static const int D=3;
bool IsGamma;
using BaseType=SplineAdoptorBase<ST,3>;
using SplineType=typename bspline_traits<ST,3>::SplineType;
using BCType=typename bspline_traits<ST,3>::BCType;
using PointType=typename BaseType::PointType;
using SingleSplineType=typename BaseType::SingleSplineType;
using vContainer_type=Vector<ST,aligned_allocator<ST> >;
using gContainer_type=VectorSoaContainer<ST,3>;
using hContainer_type=VectorSoaContainer<ST,6>;
using BaseType::first_spo;
using BaseType::last_spo;
using SplineAdoptorBase<ST,D>::HalfG;
using BaseType::GGt;
using BaseType::PrimLattice;
using BaseType::kPoints;
using BaseType::offset_cplx;
using BaseType::offset_real;
///number of points of the original grid
int BaseN[3];
///offset of the original grid, always 0
int BaseOffset[3];
///multi bspline set
MultiBspline<ST>* SplineInst;
///expose the pointer to reuse the reader and only assigned with create_spline
SplineType* MultiSpline;
vContainer_type myV;
vContainer_type myL;
gContainer_type myG;
hContainer_type myH;
SplineR2RSoA(): BaseType(),SplineInst(nullptr), MultiSpline(nullptr)
{
this->is_complex=false;
this->is_soa_ready=true;
this->AdoptorName="SplineR2RSoAAdoptor";
this->KeyWord="SplineR2RSoA";
}
///** copy the base property */
//SplineC2CSoA(BaseType& rhs): BaseType(rhs)
//{
// this->is_complex=true;
// this->AdoptorName="SplineC2CSoA";
// this->KeyWord="C2RSoA";
//}
SplineR2RSoA(const SplineR2RSoA& a):
SplineAdoptorBase<ST,3>(a),SplineInst(a.SplineInst),MultiSpline(nullptr)
{
const size_t n=a.myV.size();
myV.resize(n); myG.resize(n); myL.resize(n); myH.resize(n);
}
~SplineR2RSoA()
{
if(MultiSpline != nullptr) delete SplineInst;
}
inline void resizeStorage(size_t n, size_t nvals)
{
BaseType::init_base(n);
const size_t npad=getAlignedSize<ST>(n);
myV.resize(npad);
myG.resize(npad);
myL.resize(npad);
myH.resize(npad);
IsGamma=( (HalfG[0]==0) && (HalfG[1]==0) && (HalfG[2]==0));
}
void bcast_tables(Communicate* comm)
{
chunked_bcast(comm, MultiSpline);
}
void gather_tables(Communicate* comm)
{
if(comm->size()==1) return;
const int Nbands = kPoints.size();
const int Nbandgroups = comm->size();
offset_real.resize(Nbandgroups+1,0);
FairDivideLow(Nbands,Nbandgroups,offset_real);
gatherv(comm, MultiSpline, MultiSpline->z_stride, offset_real);
}
template<typename GT, typename BCT>
void create_spline(GT& xyz_g, BCT& xyz_bc)
{
GGt=dot(transpose(PrimLattice.G),PrimLattice.G);
SplineInst=new MultiBspline<ST>();
SplineInst->create(xyz_g,xyz_bc,myV.size());
MultiSpline=SplineInst->spline_m;
for(size_t i=0; i<D; ++i)
{
BaseOffset[i]=0;
BaseN[i]=xyz_g[i].num+3;
}
qmc_common.memory_allocated += SplineInst->sizeInByte();
}
void create_spline(TinyVector<int,D>& mesh, int n)
{
Ugrid xyz_grid[D];
BCType xyz_bc[D];
for(int i=0; i<D; ++i)
{
xyz_grid[i].start = 0.0;
xyz_grid[i].end = 1.0;
xyz_grid[i].num = mesh[i];
xyz_bc[i].lCode=xyz_bc[i].rCode=(HalfG[i])? ANTIPERIODIC:PERIODIC;
BaseOffset[i]=0;
BaseN[i]=xyz_grid[i].num+3;
}
SplineInst=new MultiBspline<ST>();
SplineInst->create(xyz_grid,xyz_bc,n);
MultiSpline=SplineInst->spline_m;
qmc_common.memory_allocated += MultiSpline->coefs_size*sizeof(ST);
}
inline void flush_zero()
{
SplineInst->flush_zero();
}
inline void set_spline(SingleSplineType* spline_r, SingleSplineType* spline_i, int twist, int ispline, int level)
{
SplineInst->copy_spline(spline_r, ispline, BaseOffset, BaseN);
}
void set_spline(ST* restrict psi_r, ST* restrict psi_i, int twist, int ispline, int level)
{
Vector<ST> v_r(psi_r,0);
SplineInst->set(ispline, v_r);
}
inline void set_spline_domain(SingleSplineType* spline_r, SingleSplineType* spline_i,
int twist, int ispline, const int* offset_l, const int* mesh_l)
{
}
bool read_splines(hdf_archive& h5f)
{
std::ostringstream o;
o<<"spline_" << SplineAdoptorBase<ST,D>::MyIndex;
einspline_engine<SplineType> bigtable(SplineInst->spline_m);
return h5f.read(bigtable,o.str().c_str());//"spline_0");
}
bool write_splines(hdf_archive& h5f)
{
std::ostringstream o;
o<<"spline_" << SplineAdoptorBase<ST,D>::MyIndex;
einspline_engine<SplineType> bigtable(SplineInst->spline_m);
return h5f.write(bigtable,o.str().c_str());//"spline_0");
}
/** convert postion in PrimLattice unit and return sign */
inline int convertPos(const PointType& r, PointType& ru)
{
ru=PrimLattice.toUnit(r);
int bc_sign=0;
for(int i=0; i<D; i++)
if( -std::numeric_limits<ST>::epsilon() < ru[i] && ru[i] < 0 )
ru[i] = ST(0.0);
else
{
ST img = std::floor(ru[i]);
ru[i] -= img;
bc_sign += HalfG[i] * (int)img;
}
return bc_sign;
}
template<typename VV>
inline void assign_v(int bc_sign, const vContainer_type& myV, VV& psi)
{
if (bc_sign & 1)
for(size_t psiIndex=first_spo,j=0; psiIndex<last_spo; ++psiIndex,++j)
psi[psiIndex]=-myV[j];
else
for(size_t psiIndex=first_spo,j=0; psiIndex<last_spo; ++psiIndex,++j)
psi[psiIndex]=myV[j];
}
inline TT evaluate_dot(const ParticleSet& P, const int iat, const TT* restrict arow, ST* scratch, bool compute_spline=true)
{
Vector<ST> vtmp(scratch,myV.size());
PointType ru;
int bc_sign=convertPos(P.activeR(iat),ru);
if(compute_spline) SplineInst->evaluate(ru,vtmp);
TT res=TT();
if (bc_sign & 1)
#pragma omp simd reduction(+:res)
for(size_t psiIndex=first_spo; psiIndex<last_spo; ++psiIndex)
res -= vtmp[psiIndex-first_spo]*arow[psiIndex];
else
#pragma omp simd reduction(+:res)
for(size_t psiIndex=first_spo; psiIndex<last_spo; ++psiIndex)
res += vtmp[psiIndex-first_spo]*arow[psiIndex];
return res;
}
template<typename VV>
inline void evaluate_v(const ParticleSet& P, const int iat, VV& psi)
{
const PointType& r=P.activeR(iat);
PointType ru;
int bc_sign=convertPos(r,ru);
SplineInst->evaluate(ru,myV);
assign_v(bc_sign,myV,psi);
}
template<typename VM>
inline void evaluateValues(const VirtualParticleSet& VP, VM& psiM)
{
const size_t m=psiM.cols();
for(int iat=0; iat<VP.getTotalNum(); ++iat)
{
Vector<TT> psi(psiM[iat],m);
evaluate_v(VP,iat,psi);
}
}
inline size_t estimateMemory(const int nP) { return 0; }
template<typename VV, typename GV>
inline void assign_vgl(int bc_sign, VV& psi, GV& dpsi, VV& d2psi)
{
const ST g00=PrimLattice.G(0), g01=PrimLattice.G(1), g02=PrimLattice.G(2),
g10=PrimLattice.G(3), g11=PrimLattice.G(4), g12=PrimLattice.G(5),
g20=PrimLattice.G(6), g21=PrimLattice.G(7), g22=PrimLattice.G(8);
const ST symGG[6]={GGt[0],GGt[1]+GGt[3],GGt[2]+GGt[6],GGt[4],GGt[5]+GGt[7],GGt[8]};
const ST* restrict g0=myG.data(0);
const ST* restrict g1=myG.data(1);
const ST* restrict g2=myG.data(2);
const ST* restrict h00=myH.data(0);
const ST* restrict h01=myH.data(1);
const ST* restrict h02=myH.data(2);
const ST* restrict h11=myH.data(3);
const ST* restrict h12=myH.data(4);
const ST* restrict h22=myH.data(5);
if (bc_sign & 1)
{
#pragma omp simd
for(size_t psiIndex=first_spo; psiIndex<last_spo; ++psiIndex)
{
const size_t j=psiIndex-first_spo;
psi[psiIndex]=-myV[j];
dpsi[psiIndex][0]=-(g00*g0[j]+g01*g1[j]+g02*g2[j]);
dpsi[psiIndex][1]=-(g10*g0[j]+g11*g1[j]+g12*g2[j]);
dpsi[psiIndex][2]=-(g20*g0[j]+g21*g1[j]+g22*g2[j]);
d2psi[psiIndex]=-SymTrace(h00[j],h01[j],h02[j],h11[j],h12[j],h22[j],symGG);
}
}
else
{
#pragma omp simd
for(size_t psiIndex=first_spo; psiIndex<last_spo; ++psiIndex)
{
const size_t j=psiIndex-first_spo;
psi[psiIndex]=myV[j];
dpsi[psiIndex][0]=(g00*g0[j]+g01*g1[j]+g02*g2[j]);
dpsi[psiIndex][1]=(g10*g0[j]+g11*g1[j]+g12*g2[j]);
dpsi[psiIndex][2]=(g20*g0[j]+g21*g1[j]+g22*g2[j]);
d2psi[psiIndex]=SymTrace(h00[j],h01[j],h02[j],h11[j],h12[j],h22[j],symGG);
}
}
}
/** assign_vgl_from_l can be used when myL is precomputed and myV,myG,myL in cartesian
*/
template<typename VV, typename GV>
inline void assign_vgl_from_l(int bc_sign, VV& psi, GV& dpsi, VV& d2psi)
{
const ST* restrict g0=myG.data(0);
const ST* restrict g1=myG.data(1);
const ST* restrict g2=myG.data(2);
if (bc_sign & 1)
{
#pragma omp simd
for(int psiIndex=first_spo; psiIndex<last_spo; ++psiIndex)
{
const size_t j=psiIndex-first_spo;
psi[psiIndex]=-myV[j];
dpsi[psiIndex][0]=-g0[j];
dpsi[psiIndex][1]=-g1[j];
dpsi[psiIndex][2]=-g2[j];
d2psi[psiIndex]=-myL[j];
}
}
else
{
#pragma omp simd
for(int psiIndex=first_spo; psiIndex<last_spo; ++psiIndex)
{
const size_t j=psiIndex-first_spo;
psi[psiIndex]=myV[j];
dpsi[psiIndex][0]=g0[j];
dpsi[psiIndex][1]=g1[j];
dpsi[psiIndex][2]=g2[j];
d2psi[psiIndex]=myL[j];
}
}
}
template<typename VV, typename GV>
inline void evaluate_vgl(const ParticleSet& P, const int iat, VV& psi, GV& dpsi, VV& d2psi)
{
const PointType& r=P.activeR(iat);
PointType ru;
int bc_sign=convertPos(r,ru);
SplineInst->evaluate_vgh(ru,myV,myG,myH);
assign_vgl(bc_sign,psi,dpsi,d2psi);
}
/** identical to assign_vgl but the output container is SoA container
*/
template<typename VGL>
inline void assign_vgl_soa(int bc_sign, VGL& vgl)
{
const ST g00=PrimLattice.G(0), g01=PrimLattice.G(1), g02=PrimLattice.G(2),
g10=PrimLattice.G(3), g11=PrimLattice.G(4), g12=PrimLattice.G(5),
g20=PrimLattice.G(6), g21=PrimLattice.G(7), g22=PrimLattice.G(8);
const ST symGG[6]={GGt[0],GGt[1]+GGt[3],GGt[2]+GGt[6],GGt[4],GGt[5]+GGt[7],GGt[8]};
const ST* restrict g0=myG.data(0);
const ST* restrict g1=myG.data(1);
const ST* restrict g2=myG.data(2);
const ST* restrict h00=myH.data(0);
const ST* restrict h01=myH.data(1);
const ST* restrict h02=myH.data(2);
const ST* restrict h11=myH.data(3);
const ST* restrict h12=myH.data(4);
const ST* restrict h22=myH.data(5);
TT* restrict psi =vgl.data(0)+first_spo; ASSUME_ALIGNED(psi);
TT* restrict vg_x=vgl.data(1)+first_spo; ASSUME_ALIGNED(vg_x);
TT* restrict vg_y=vgl.data(2)+first_spo; ASSUME_ALIGNED(vg_y);
TT* restrict vg_z=vgl.data(3)+first_spo; ASSUME_ALIGNED(vg_z);
TT* restrict vl_l=vgl.data(4)+first_spo; ASSUME_ALIGNED(vl_l);
const size_t N=last_spo-first_spo;
if (bc_sign & 1)
{
#pragma omp simd
for(int j=0; j<N; ++j)
{
psi [j]=-myV[j];
vg_x[j]=-(g00*g0[j]+g01*g1[j]+g02*g2[j]);
vg_y[j]=-(g10*g0[j]+g11*g1[j]+g12*g2[j]);
vg_z[j]=-(g20*g0[j]+g21*g1[j]+g22*g2[j]);
vl_l[j]=-SymTrace(h00[j],h01[j],h02[j],h11[j],h12[j],h22[j],symGG);
}
}
else
{
#pragma omp simd
for(int j=0; j<N; ++j)
{
psi [j]=myV[j];
vg_x[j]=(g00*g0[j]+g01*g1[j]+g02*g2[j]);
vg_y[j]=(g10*g0[j]+g11*g1[j]+g12*g2[j]);
vg_z[j]=(g20*g0[j]+g21*g1[j]+g22*g2[j]);
vl_l[j]=SymTrace(h00[j],h01[j],h02[j],h11[j],h12[j],h22[j],symGG);
}
}
}
/** evaluate VGL using VectorSoaContainer
* @param r position
* @param psi value container
* @param dpsi gradient-laplacian container
*/
template<typename VGL>
inline void evaluate_vgl_combo(const ParticleSet& P, const int iat, VGL& vgl)
{
const PointType& r=P.activeR(iat);
PointType ru;
int bc_sign=convertPos(r,ru);
SplineInst->evaluate_vgh(ru,myV,myG,myH);
assign_vgl_soa(bc_sign,vgl);
}
template<typename VV, typename GV, typename GGV>
void assign_vgh(int bc_sign, VV& psi, GV& dpsi, GGV& grad_grad_psi)
{
const ST cone = (bc_sign &1)? -1:1;
const ST g00=PrimLattice.G(0), g01=PrimLattice.G(1), g02=PrimLattice.G(2),
g10=PrimLattice.G(3), g11=PrimLattice.G(4), g12=PrimLattice.G(5),
g20=PrimLattice.G(6), g21=PrimLattice.G(7), g22=PrimLattice.G(8);
const ST* restrict g0=myG.data(0);
const ST* restrict g1=myG.data(1);
const ST* restrict g2=myG.data(2);
const ST* restrict h00=myH.data(0);
const ST* restrict h01=myH.data(1);
const ST* restrict h02=myH.data(2);
const ST* restrict h11=myH.data(3);
const ST* restrict h12=myH.data(4);
const ST* restrict h22=myH.data(5);
const size_t N=last_spo-first_spo;
#pragma omp simd
for (size_t j=0; j<N; ++j)
{
//dot(PrimLattice.G,myG[j])
const ST dX_r = g00*g0[j]+g01*g1[j]+g02*g2[j];
const ST dY_r = g10*g0[j]+g11*g1[j]+g12*g2[j];
const ST dZ_r = g20*g0[j]+g21*g1[j]+g22*g2[j];
const size_t psiIndex=j+first_spo;
psi[psiIndex] =cone*myV[j];
dpsi[psiIndex][0]=cone*dX_r;
dpsi[psiIndex][1]=cone*dY_r;
dpsi[psiIndex][2]=cone*dZ_r;
const ST h_xx_r=v_m_v(h00[j],h01[j],h02[j],h11[j],h12[j],h22[j],g00,g01,g02,g00,g01,g02);
const ST h_xy_r=v_m_v(h00[j],h01[j],h02[j],h11[j],h12[j],h22[j],g00,g01,g02,g10,g11,g12);
const ST h_xz_r=v_m_v(h00[j],h01[j],h02[j],h11[j],h12[j],h22[j],g00,g01,g02,g20,g21,g22);
const ST h_yx_r=v_m_v(h00[j],h01[j],h02[j],h11[j],h12[j],h22[j],g10,g11,g12,g00,g01,g02);
const ST h_yy_r=v_m_v(h00[j],h01[j],h02[j],h11[j],h12[j],h22[j],g10,g11,g12,g10,g11,g12);
const ST h_yz_r=v_m_v(h00[j],h01[j],h02[j],h11[j],h12[j],h22[j],g10,g11,g12,g20,g21,g22);
const ST h_zx_r=v_m_v(h00[j],h01[j],h02[j],h11[j],h12[j],h22[j],g20,g21,g22,g00,g01,g02);
const ST h_zy_r=v_m_v(h00[j],h01[j],h02[j],h11[j],h12[j],h22[j],g20,g21,g22,g10,g11,g12);
const ST h_zz_r=v_m_v(h00[j],h01[j],h02[j],h11[j],h12[j],h22[j],g20,g21,g22,g20,g21,g22);
grad_grad_psi[psiIndex][0]=cone*h_xx_r;
grad_grad_psi[psiIndex][1]=cone*h_xy_r;
grad_grad_psi[psiIndex][2]=cone*h_xz_r;
grad_grad_psi[psiIndex][3]=cone*h_yx_r;
grad_grad_psi[psiIndex][4]=cone*h_yy_r;
grad_grad_psi[psiIndex][5]=cone*h_yz_r;
grad_grad_psi[psiIndex][6]=cone*h_zx_r;
grad_grad_psi[psiIndex][7]=cone*h_zy_r;
grad_grad_psi[psiIndex][8]=cone*h_zz_r;
}
}
template<typename VV, typename GV, typename GGV>
void evaluate_vgh(const ParticleSet& P, const int iat, VV& psi, GV& dpsi, GGV& grad_grad_psi)
{
const PointType& r=P.activeR(iat);
PointType ru;
int bc_sign=convertPos(r,ru);
SplineInst->evaluate_vgh(ru,myV,myG,myH);
assign_vgh(bc_sign,psi,dpsi,grad_grad_psi);
}
};
}
#endif
|
seidel.orio.par.c | #include <stdio.h>
#include <stdlib.h>
#include <sys/time.h>
#include <math.h>
double A[N][N+13];
void init_arrays()
{
int i, j;
for (i=0; i<N; i++)
for (j=0; j<N; j++)
A[i][j] = i*i+j*j;
}
double rtclock()
{
struct timezone tzp;
struct timeval tp;
int stat;
gettimeofday (&tp, &tzp);
return (tp.tv_sec + tp.tv_usec*1.0e-6);
}
int main()
{
init_arrays();
double annot_t_start=0, annot_t_end=0, annot_t_total=0;
int annot_i;
for (annot_i=0; annot_i<REPS; annot_i++)
{
annot_t_start = rtclock();
/*@ begin PerfTuning (
def build
{
arg build_command = 'icc -O3 -openmp -lm';
}
def performance_counter
{
arg repetitions = 1;
}
def performance_params
{
# [1,8,16,32,64,128,256];
# [1,4,8,16,32];
param T1_1[] = [16,32];
param T1_2[] = [8];
param T1_3[] = [512];
param T2_1[] = [1];
param T2_2[] = [1];
param T2_3[] = [1];
constraint c1 = (T1_1*T2_1<=1024 and T1_1*T2_1<=1024 and T1_1*T2_1<=1024);
param U1[] = [3];
param U2[] = [1];
param U3[] = [4];
constraint c2 = (U1*U2*U3<=256);
param PERM[] = [
[0,1,2],
# [0,2,1],
# [1,0,2],
# [1,2,0],
# [2,0,1],
# [2,1,0],
];
param PAR[] = [True];
param SCREP[] = [True];
param IVEC[] = [True];
param RECTILE[] = [True];
}
def search
{
arg algorithm = 'Exhaustive';
# arg algorithm = 'Simplex';
# arg total_runs = 5;
}
def input_params
{
param T[] = [500];
param N[] = [4000];
}
def input_vars
{
decl static double A[N][N+17] = random;
}
) @*/
/**-- (Generated by Orio)
Best performance cost:
28.572200
Tuned for specific problem sizes:
N = 4000
T = 500
Best performance parameters:
IVEC = True
PAR = True
PERM = [0, 1, 2]
RECTILE = True
SCREP = True
T1_1 = 32
T1_2 = 8
T1_3 = 512
T2_1 = 1
T2_2 = 1
T2_3 = 1
U1 = 3
U2 = 1
U3 = 4
--**/
register int i,j,k,t;
register int c1t, c2t, c3t, c4t, c5t, c6t, c7t, c8t, c9t, c10t, c11t, c12t;
register int newlb_c1, newlb_c2, newlb_c3, newlb_c4, newlb_c5, newlb_c6,
newlb_c7, newlb_c8, newlb_c9, newlb_c10, newlb_c11, newlb_c12;
register int newub_c1, newub_c2, newub_c3, newub_c4, newub_c5, newub_c6,
newub_c7, newub_c8, newub_c9, newub_c10, newub_c11, newub_c12;
/*@ begin PolySyn(
parallel = PAR;
tiles = [T1_1,T1_2,T1_3,T2_1,T2_2,T2_3];
permut = PERM;
unroll_factors = [U1,U2,U3];
rect_regtile = RECTILE;
scalar_replace = SCREP;
vectorize = IVEC;
profiling_code = 'seidel_profiling.c';
compile_cmd = 'gcc';
compile_opts = '-lm';
) @*/#include <math.h>
#include <assert.h>
#include <omp.h>
#define ceild(n,d) ceil(((double)(n))/((double)(d)))
#define floord(n,d) floor(((double)(n))/((double)(d)))
#define max(x,y) ((x) > (y)? (x) : (y))
#define min(x,y) ((x) < (y)? (x) : (y))
int c1, c2, c3, c4, c5, c6, c7, c8, c9;
register int lb, ub, lb1, ub1, lb2, ub2;
/* polysyn start */
if (N >= 3) {
for (c1=-1;c1<=floord(5*T+4*N-13,32);c1++) {
lb1=max(max(ceild(16*c1-3,20),0),ceild(32*c1-T+1,32));
ub1=min(min(floord(32*c1+31,32),floord(T+N-3,8)),floord(32*c1+N+29,40));
#pragma omp parallel for shared(c1,lb1,ub1) private(c2,c3,c4,c5,c6,c7,c8,c9)
for (c2=lb1; c2<=ub1; c2++) {
/*@ begin Loop(
transform Composite(
permut = [['c7', 'c8', 'c9']],
unrolljam = (['c7', 'c8', 'c9'],[3, 1, 4]),
scalarreplace = (True, 'double'),
vector = (True, ['ivdep','vector always']))
for (c3=max(max(max(max(ceild(4*c2-255,256),0),ceild(16*c1-12*c2-255,256)),ceild(16*c2-N-508,512)),ceild(64*c1-64*c2-509,512));c3<=min(min(min(min(floord(T+N-3,256),floord(32*c1-24*c2+N+36,512)),floord(8*c2+T+N+4,512)),floord(16*c2+N+11,512)),floord(32*c1-32*c2+N+29,256));c3++) {
for (c7=max(max(max(max(0,32*c1-32*c2),8*c2-N+2),256*c3-N+2),-8*c2+512*c3-N-5);c7<=min(min(min(min(T-1,32*c1-32*c2+31),8*c2+6),floord(512*c3+509,2)),-8*c2+512*c3+510);c7++) {
for (c8=max(max(8*c2,c7+1),512*c3-c7-N+2);c8<=min(min(8*c2+7,c7+N-2),512*c3-c7+510);c8++) {
for (c9=max(512*c3,c7+c8+1);c9<=min(512*c3+511,c7+c8+N-2);c9++) {
A[-c7+c8][-c7-c8+c9]=(A[1+-c7+c8][1+-c7-c8+c9]+A[1+-c7+c8][-c7-c8+c9]+A[1+-c7+c8][-c7-c8+c9-1]+A[-c7+c8][1+-c7-c8+c9]+A[-c7+c8][-c7-c8+c9]+A[-c7+c8][-c7-c8+c9-1]+A[-c7+c8-1][1+-c7-c8+c9]+A[-c7+c8-1][-c7-c8+c9]+A[-c7+c8-1][-c7-c8+c9-1])/9;
}
}
}
}
) @*/{
for (c3=max(max(max(max(ceild(4*c2-255,256),0),ceild(16*c1-12*c2-255,256)),ceild(16*c2-N-508,512)),ceild(64*c1-64*c2-509,512)); c3<=min(min(min(min(floord(T+N-3,256),floord(32*c1-24*c2+N+36,512)),floord(8*c2+T+N+4,512)),floord(16*c2+N+11,512)),floord(32*c1-32*c2+N+29,256)); c3++ ) {
{
for (c7=max(max(max(max(0,32*c1-32*c2),8*c2-N+2),256*c3-N+2),-8*c2+512*c3-N-5); c7<=min(min(min(min(T-1,32*c1-32*c2+31),8*c2+6),floord(512*c3+509,2)),-8*c2+512*c3+510)-2; c7=c7+3) {
for (c8=max(max(8*c2,c7+1),512*c3-c7-N+2); c8<=min(min(8*c2+7,c7+N-2),512*c3-c7+510); c8++ ) {
{
register int cbv_1, cbv_2;
cbv_1=max(512*c3,c7+c8+1);
cbv_2=min(512*c3+511,c7+c8+N-2)-3;
#pragma ivdep
#pragma vector always
for (c9=cbv_1; c9<=cbv_2; c9=c9+4) {
double scv_1, scv_2, scv_3, scv_4, scv_5, scv_6, scv_7, scv_8;
double scv_9, scv_10, scv_11, scv_12;
scv_1=A[-c7+c8+1][-c7+c9-c8+2];
scv_2=A[-c7+c8][-c7+c9-c8+3];
scv_3=A[-c7+c8+1][-c7+c9-c8+3];
scv_4=A[-c7+c8-1][-c7+c9-c8+3];
scv_5=A[-c7+c8][-c7+c9-c8+1];
scv_6=A[-c7+c8][-c7+c9-c8];
scv_7=A[-c7+c8-1][-c7+c9-c8+2];
scv_8=A[-c7+c8+1][-c7+c9-c8+1];
scv_9=A[-c7+c8+1][-c7+c9-c8];
scv_10=A[-c7+c8][-c7+c9-c8+2];
scv_11=A[-c7+c8-1][-c7+c9-c8];
scv_12=A[-c7+c8-1][-c7+c9-c8+1];
scv_6=0.111111111111*(scv_8+scv_9+A[-c7+c8+1][-c7+c9-c8-1]+scv_5+scv_6+A[-c7+c8][-c7+c9-c8-1]+scv_12+scv_11+A[-c7+c8-1][-c7+c9-c8-1]);
scv_5=0.111111111111*(scv_1+scv_8+scv_9+scv_10+scv_5+scv_6+scv_7+scv_12+scv_11);
scv_10=0.111111111111*(scv_3+scv_1+scv_8+scv_2+scv_10+scv_5+scv_4+scv_7+scv_12);
scv_2=0.111111111111*(A[-c7+c8+1][-c7+c9-c8+4]+scv_3+scv_1+A[-c7+c8][-c7+c9-c8+4]+scv_2+scv_10+A[-c7+c8-1][-c7+c9-c8+4]+scv_4+scv_7);
A[-c7+c8][-c7+c9-c8+3]=scv_2;
A[-c7+c8][-c7+c9-c8+1]=scv_5;
A[-c7+c8][-c7+c9-c8]=scv_6;
A[-c7+c8][-c7+c9-c8+2]=scv_10;
}
register int cbv_3;
cbv_3=min(512*c3+511,c7+c8+N-2);
#pragma ivdep
#pragma vector always
for (; c9<=cbv_3; c9=c9+1) {
double scv_13;
scv_13=A[-c7+c8][-c7+c9-c8];
scv_13=0.111111111111*(A[-c7+c8+1][-c7+c9-c8+1]+A[-c7+c8+1][-c7+c9-c8]+A[-c7+c8+1][-c7+c9-c8-1]+A[-c7+c8][-c7+c9-c8+1]+scv_13+A[-c7+c8][-c7+c9-c8-1]+A[-c7+c8-1][-c7+c9-c8+1]+A[-c7+c8-1][-c7+c9-c8]+A[-c7+c8-1][-c7+c9-c8-1]);
A[-c7+c8][-c7+c9-c8]=scv_13;
}
}
}
for (c8=max(max(8*c2,c7+2),512*c3-c7-N+1); c8<=min(min(8*c2+7,c7+N-1),512*c3-c7+509); c8++ ) {
{
register int cbv_4, cbv_5;
cbv_4=max(512*c3,c7+c8+2);
cbv_5=min(512*c3+511,c7+c8+N-1)-3;
#pragma ivdep
#pragma vector always
for (c9=cbv_4; c9<=cbv_5; c9=c9+4) {
double scv_14, scv_15, scv_16, scv_17, scv_18, scv_19, scv_20, scv_21;
double scv_22, scv_23, scv_24, scv_25;
scv_14=A[-(c7+1)+c8][-(c7+1)+c9-c8+1];
scv_15=A[-(c7+1)+c8+1][-(c7+1)+c9-c8];
scv_16=A[-(c7+1)+c8+1][-(c7+1)+c9-c8+3];
scv_17=A[-(c7+1)+c8-1][-(c7+1)+c9-c8+2];
scv_18=A[-(c7+1)+c8-1][-(c7+1)+c9-c8+3];
scv_19=A[-(c7+1)+c8-1][-(c7+1)+c9-c8+1];
scv_20=A[-(c7+1)+c8][-(c7+1)+c9-c8];
scv_21=A[-(c7+1)+c8][-(c7+1)+c9-c8+3];
scv_22=A[-(c7+1)+c8-1][-(c7+1)+c9-c8];
scv_23=A[-(c7+1)+c8][-(c7+1)+c9-c8+2];
scv_24=A[-(c7+1)+c8+1][-(c7+1)+c9-c8+1];
scv_25=A[-(c7+1)+c8+1][-(c7+1)+c9-c8+2];
scv_20=0.111111111111*(scv_24+scv_15+A[-(c7+1)+c8+1][-(c7+1)+c9-c8-1]+scv_14+scv_20+A[-(c7+1)+c8][-(c7+1)+c9-c8-1]+scv_19+scv_22+A[-(c7+1)+c8-1][-(c7+1)+c9-c8-1]);
scv_14=0.111111111111*(scv_25+scv_24+scv_15+scv_23+scv_14+scv_20+scv_17+scv_19+scv_22);
scv_23=0.111111111111*(scv_16+scv_25+scv_24+scv_21+scv_23+scv_14+scv_18+scv_17+scv_19);
scv_21=0.111111111111*(A[-(c7+1)+c8+1][-(c7+1)+c9-c8+4]+scv_16+scv_25+A[-(c7+1)+c8][-(c7+1)+c9-c8+4]+scv_21+scv_23+A[-(c7+1)+c8-1][-(c7+1)+c9-c8+4]+scv_18+scv_17);
A[-(c7+1)+c8][-(c7+1)+c9-c8+1]=scv_14;
A[-(c7+1)+c8][-(c7+1)+c9-c8]=scv_20;
A[-(c7+1)+c8][-(c7+1)+c9-c8+3]=scv_21;
A[-(c7+1)+c8][-(c7+1)+c9-c8+2]=scv_23;
}
register int cbv_6;
cbv_6=min(512*c3+511,c7+c8+N-1);
#pragma ivdep
#pragma vector always
for (; c9<=cbv_6; c9=c9+1) {
double scv_26;
scv_26=A[-(c7+1)+c8][-(c7+1)+c9-c8];
scv_26=0.111111111111*(A[-(c7+1)+c8+1][-(c7+1)+c9-c8+1]+A[-(c7+1)+c8+1][-(c7+1)+c9-c8]+A[-(c7+1)+c8+1][-(c7+1)+c9-c8-1]+A[-(c7+1)+c8][-(c7+1)+c9-c8+1]+scv_26+A[-(c7+1)+c8][-(c7+1)+c9-c8-1]+A[-(c7+1)+c8-1][-(c7+1)+c9-c8+1]+A[-(c7+1)+c8-1][-(c7+1)+c9-c8]+A[-(c7+1)+c8-1][-(c7+1)+c9-c8-1]);
A[-(c7+1)+c8][-(c7+1)+c9-c8]=scv_26;
}
}
}
for (c8=max(max(8*c2,c7+3),512*c3-c7-N); c8<=min(min(8*c2+7,c7+N),512*c3-c7+508); c8++ ) {
{
register int cbv_7, cbv_8;
cbv_7=max(512*c3,c7+c8+3);
cbv_8=min(512*c3+511,c7+c8+N)-3;
#pragma ivdep
#pragma vector always
for (c9=cbv_7; c9<=cbv_8; c9=c9+4) {
double scv_27, scv_28, scv_29, scv_30, scv_31, scv_32, scv_33, scv_34;
double scv_35, scv_36, scv_37, scv_38;
scv_27=A[-(c7+2)+c8][-(c7+2)+c9-c8];
scv_28=A[-(c7+2)+c8][-(c7+2)+c9-c8+3];
scv_29=A[-(c7+2)+c8+1][-(c7+2)+c9-c8];
scv_30=A[-(c7+2)+c8][-(c7+2)+c9-c8+2];
scv_31=A[-(c7+2)+c8+1][-(c7+2)+c9-c8+3];
scv_32=A[-(c7+2)+c8+1][-(c7+2)+c9-c8+1];
scv_33=A[-(c7+2)+c8][-(c7+2)+c9-c8+1];
scv_34=A[-(c7+2)+c8-1][-(c7+2)+c9-c8+3];
scv_35=A[-(c7+2)+c8-1][-(c7+2)+c9-c8];
scv_36=A[-(c7+2)+c8-1][-(c7+2)+c9-c8+2];
scv_37=A[-(c7+2)+c8+1][-(c7+2)+c9-c8+2];
scv_38=A[-(c7+2)+c8-1][-(c7+2)+c9-c8+1];
scv_27=0.111111111111*(scv_32+scv_29+A[-(c7+2)+c8+1][-(c7+2)+c9-c8-1]+scv_33+scv_27+A[-(c7+2)+c8][-(c7+2)+c9-c8-1]+scv_38+scv_35+A[-(c7+2)+c8-1][-(c7+2)+c9-c8-1]);
scv_33=0.111111111111*(scv_37+scv_32+scv_29+scv_30+scv_33+scv_27+scv_36+scv_38+scv_35);
scv_30=0.111111111111*(scv_31+scv_37+scv_32+scv_28+scv_30+scv_33+scv_34+scv_36+scv_38);
scv_28=0.111111111111*(A[-(c7+2)+c8+1][-(c7+2)+c9-c8+4]+scv_31+scv_37+A[-(c7+2)+c8][-(c7+2)+c9-c8+4]+scv_28+scv_30+A[-(c7+2)+c8-1][-(c7+2)+c9-c8+4]+scv_34+scv_36);
A[-(c7+2)+c8][-(c7+2)+c9-c8]=scv_27;
A[-(c7+2)+c8][-(c7+2)+c9-c8+3]=scv_28;
A[-(c7+2)+c8][-(c7+2)+c9-c8+2]=scv_30;
A[-(c7+2)+c8][-(c7+2)+c9-c8+1]=scv_33;
}
register int cbv_9;
cbv_9=min(512*c3+511,c7+c8+N);
#pragma ivdep
#pragma vector always
for (; c9<=cbv_9; c9=c9+1) {
double scv_39;
scv_39=A[-(c7+2)+c8][-(c7+2)+c9-c8];
scv_39=0.111111111111*(A[-(c7+2)+c8+1][-(c7+2)+c9-c8+1]+A[-(c7+2)+c8+1][-(c7+2)+c9-c8]+A[-(c7+2)+c8+1][-(c7+2)+c9-c8-1]+A[-(c7+2)+c8][-(c7+2)+c9-c8+1]+scv_39+A[-(c7+2)+c8][-(c7+2)+c9-c8-1]+A[-(c7+2)+c8-1][-(c7+2)+c9-c8+1]+A[-(c7+2)+c8-1][-(c7+2)+c9-c8]+A[-(c7+2)+c8-1][-(c7+2)+c9-c8-1]);
A[-(c7+2)+c8][-(c7+2)+c9-c8]=scv_39;
}
}
}
}
for (; c7<=min(min(min(min(T-1,32*c1-32*c2+31),8*c2+6),floord(512*c3+509,2)),-8*c2+512*c3+510); c7=c7+1) {
for (c8=max(max(8*c2,c7+1),512*c3-c7-N+2); c8<=min(min(8*c2+7,c7+N-2),512*c3-c7+510); c8++ ) {
{
register int cbv_10, cbv_11;
cbv_10=max(512*c3,c7+c8+1);
cbv_11=min(512*c3+511,c7+c8+N-2)-3;
#pragma ivdep
#pragma vector always
for (c9=cbv_10; c9<=cbv_11; c9=c9+4) {
double scv_40, scv_41, scv_42, scv_43, scv_44, scv_45, scv_46, scv_47;
double scv_48, scv_49, scv_50, scv_51;
scv_40=A[-c7+c8+1][-c7+c9-c8+2];
scv_41=A[-c7+c8][-c7+c9-c8+3];
scv_42=A[-c7+c8+1][-c7+c9-c8+3];
scv_43=A[-c7+c8-1][-c7+c9-c8+3];
scv_44=A[-c7+c8][-c7+c9-c8+1];
scv_45=A[-c7+c8][-c7+c9-c8];
scv_46=A[-c7+c8-1][-c7+c9-c8+2];
scv_47=A[-c7+c8+1][-c7+c9-c8+1];
scv_48=A[-c7+c8+1][-c7+c9-c8];
scv_49=A[-c7+c8][-c7+c9-c8+2];
scv_50=A[-c7+c8-1][-c7+c9-c8];
scv_51=A[-c7+c8-1][-c7+c9-c8+1];
scv_45=0.111111111111*(scv_47+scv_48+A[-c7+c8+1][-c7+c9-c8-1]+scv_44+scv_45+A[-c7+c8][-c7+c9-c8-1]+scv_51+scv_50+A[-c7+c8-1][-c7+c9-c8-1]);
scv_44=0.111111111111*(scv_40+scv_47+scv_48+scv_49+scv_44+scv_45+scv_46+scv_51+scv_50);
scv_49=0.111111111111*(scv_42+scv_40+scv_47+scv_41+scv_49+scv_44+scv_43+scv_46+scv_51);
scv_41=0.111111111111*(A[-c7+c8+1][-c7+c9-c8+4]+scv_42+scv_40+A[-c7+c8][-c7+c9-c8+4]+scv_41+scv_49+A[-c7+c8-1][-c7+c9-c8+4]+scv_43+scv_46);
A[-c7+c8][-c7+c9-c8+3]=scv_41;
A[-c7+c8][-c7+c9-c8+1]=scv_44;
A[-c7+c8][-c7+c9-c8]=scv_45;
A[-c7+c8][-c7+c9-c8+2]=scv_49;
}
register int cbv_12;
cbv_12=min(512*c3+511,c7+c8+N-2);
#pragma ivdep
#pragma vector always
for (; c9<=cbv_12; c9=c9+1) {
double scv_52;
scv_52=A[-c7+c8][-c7-c8+c9];
scv_52=(A[1+-c7+c8][1+-c7-c8+c9]+A[1+-c7+c8][-c7-c8+c9]+A[1+-c7+c8][-c7-c8+c9-1]+A[-c7+c8][1+-c7-c8+c9]+scv_52+A[-c7+c8][-c7-c8+c9-1]+A[-c7+c8-1][1+-c7-c8+c9]+A[-c7+c8-1][-c7-c8+c9]+A[-c7+c8-1][-c7-c8+c9-1])/9;
A[-c7+c8][-c7-c8+c9]=scv_52;
}
}
}
}
}
}
}
/*@ end @*/
}
}
}
/* polysyn end */
/*@ end @*/
/*@ end @*/
annot_t_end = rtclock();
annot_t_total += annot_t_end - annot_t_start;
}
annot_t_total = annot_t_total / REPS;
#ifndef TEST
printf("%f\n", annot_t_total);
#else
{
int i, j;
for (i=0; i<N; i++) {
for (j=0; j<N; j++) {
if (j%100==0)
printf("\n");
printf("%f ",A[i][j]);
}
printf("\n");
}
}
#endif
return ((int) A[0][0]);
}
|
cancel.c | // RUN: %libomp-compile && env OMP_CANCELLATION=true %libomp-run | %sort-threads | FileCheck %s
// REQUIRES: ompt
#include "callback.h"
#include <omp.h>
int main()
{
//omp_set_cancellation(1);
#pragma omp taskgroup
{
int x = 0;
int i;
for(i = 0; i < 2; i++)
{
#pragma omp task shared(x)
{
//#pragma omp cancellation point taskgroup
x++;
if(x == 1)
{
#pragma omp cancel taskgroup
}
}
}
}
// Check if libomp supports the callbacks for this test.
// CHECK-NOT: {{^}}0: Could not register callback 'ompt_callback_cancel'
// CHECK: {{^}}0: NULL_POINTER=[[NULL:.*$]]
// CHECK: {{^}}[[MASTER_ID:[0-9]+]]: ompt_event_task_create: parent_task_id=[[PARENT_TASK_ID:[0-9]+]], parent_task_frame.exit=[[NULL]], parent_task_frame.reenter={{0x[0-f]*}}, new_task_id=[[TASK_ID:[0-9]+]], parallel_function={{0x[0-f]*}}, task_type=ompt_task_explicit=3, has_dependences=no
// CHECK: {{^}}[[MASTER_ID]]: ompt_event_cancel: task_data=[[TASK_ID:[0-9]+]], flags=72, codeptr_ra={{0x[0-f]*}}
return 0;
}
|
close_modifier.c | // RUN: %libomptarget-compile-run-and-check-generic
// REQUIRES: unified_shared_memory
// UNSUPPORTED: clang-6, clang-7, clang-8, clang-9
// amdgcn does not have printf definition
// XFAIL: amdgcn-amd-amdhsa
#include <omp.h>
#include <stdio.h>
#pragma omp requires unified_shared_memory
#define N 1024
int main(int argc, char *argv[]) {
int fails;
void *host_alloc, *device_alloc;
void *host_data, *device_data;
int *alloc = (int *)malloc(N * sizeof(int));
int data[N];
for (int i = 0; i < N; ++i) {
alloc[i] = 10;
data[i] = 1;
}
host_data = &data[0];
host_alloc = &alloc[0];
//
// Test that updates on the device are not visible to host
// when only a TO mapping is used.
//
#pragma omp target map(tofrom \
: device_data, device_alloc) map(close, to \
: alloc[:N], data \
[:N])
{
device_data = &data[0];
device_alloc = &alloc[0];
for (int i = 0; i < N; i++) {
alloc[i] += 1;
data[i] += 1;
}
}
// CHECK: Address of alloc on device different from host address.
if (device_alloc != host_alloc)
printf("Address of alloc on device different from host address.\n");
// CHECK: Address of data on device different from host address.
if (device_data != host_data)
printf("Address of data on device different from host address.\n");
// On the host, check that the arrays have been updated.
// CHECK: Alloc host values not updated: Succeeded
fails = 0;
for (int i = 0; i < N; i++) {
if (alloc[i] != 10)
fails++;
}
printf("Alloc host values not updated: %s\n",
(fails == 0) ? "Succeeded" : "Failed");
// CHECK: Data host values not updated: Succeeded
fails = 0;
for (int i = 0; i < N; i++) {
if (data[i] != 1)
fails++;
}
printf("Data host values not updated: %s\n",
(fails == 0) ? "Succeeded" : "Failed");
//
// Test that updates on the device are visible on host
// when a from is used.
//
for (int i = 0; i < N; i++) {
alloc[i] += 1;
data[i] += 1;
}
#pragma omp target map(close, tofrom : alloc[:N], data[:N])
{
// CHECK: Alloc device values are correct: Succeeded
fails = 0;
for (int i = 0; i < N; i++) {
if (alloc[i] != 11)
fails++;
}
printf("Alloc device values are correct: %s\n",
(fails == 0) ? "Succeeded" : "Failed");
// CHECK: Data device values are correct: Succeeded
fails = 0;
for (int i = 0; i < N; i++) {
if (data[i] != 2)
fails++;
}
printf("Data device values are correct: %s\n",
(fails == 0) ? "Succeeded" : "Failed");
// Update values on the device
for (int i = 0; i < N; i++) {
alloc[i] += 1;
data[i] += 1;
}
}
// CHECK: Alloc host values updated: Succeeded
fails = 0;
for (int i = 0; i < N; i++) {
if (alloc[i] != 12)
fails++;
}
printf("Alloc host values updated: %s\n",
(fails == 0) ? "Succeeded" : "Failed");
// CHECK: Data host values updated: Succeeded
fails = 0;
for (int i = 0; i < N; i++) {
if (data[i] != 3)
fails++;
}
printf("Data host values updated: %s\n",
(fails == 0) ? "Succeeded" : "Failed");
free(alloc);
// CHECK: Done!
printf("Done!\n");
return 0;
}
|
smg_axpy.c | /*BHEADER**********************************************************************
* Copyright (c) 2008, Lawrence Livermore National Security, LLC.
* Produced at the Lawrence Livermore National Laboratory.
* This file is part of HYPRE. See file COPYRIGHT for details.
*
* HYPRE is free software; you can redistribute it and/or modify it under the
* terms of the GNU Lesser General Public License (as published by the Free
* Software Foundation) version 2.1 dated February 1999.
*
* $Revision: 2.10 $
***********************************************************************EHEADER*/
#include "_hypre_struct_ls.h"
/*--------------------------------------------------------------------------
*--------------------------------------------------------------------------*/
HYPRE_Int
hypre_SMGAxpy( double alpha,
hypre_StructVector *x,
hypre_StructVector *y,
hypre_Index base_index,
hypre_Index base_stride )
{
hypre_Box *x_data_box;
hypre_Box *y_data_box;
HYPRE_Int xi;
HYPRE_Int yi;
double *xp;
double *yp;
hypre_BoxArray *boxes;
hypre_Box *box;
hypre_Index loop_size;
hypre_IndexRef start;
HYPRE_Int i;
box = hypre_BoxCreate();
boxes = hypre_StructGridBoxes(hypre_StructVectorGrid(y));
hypre_ForBoxI(i, boxes)
{
hypre_CopyBox(hypre_BoxArrayBox(boxes, i), box);
hypre_ProjectBox(box, base_index, base_stride);
start = hypre_BoxIMin(box);
x_data_box = hypre_BoxArrayBox(hypre_StructVectorDataSpace(x), i);
y_data_box = hypre_BoxArrayBox(hypre_StructVectorDataSpace(y), i);
xp = hypre_StructVectorBoxData(x, i);
yp = hypre_StructVectorBoxData(y, i);
hypre_BoxGetStrideSize(box, base_stride, loop_size);
hypre_BoxLoop2Begin(hypre_StructVectorDim(x), loop_size,
x_data_box, start, base_stride, xi,
y_data_box, start, base_stride, yi);
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(HYPRE_BOX_PRIVATE,xi,yi) HYPRE_SMP_SCHEDULE
#endif
hypre_BoxLoop2For(xi, yi)
{
yp[yi] += alpha * xp[xi];
}
hypre_BoxLoop2End(xi, yi);
}
hypre_BoxDestroy(box);
return hypre_error_flag;
}
|
mc.c | /*****************************************************************************
* mc.c: h264 encoder library (Motion Compensation)
*****************************************************************************
* Copyright (C) 2003-2008 x264 project
*
* Authors: Laurent Aimar <fenrir@via.ecp.fr>
* Loren Merritt <lorenm@u.washington.edu>
*
* This program is free software; you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation; either version 2 of the License, or
* (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program; if not, write to the Free Software
* Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02111, USA.
*****************************************************************************/
#include "common.h"
#include <omp.h>
#ifdef HAVE_MMX
#include "x86/mc.h"
#endif
#ifdef ARCH_PPC
#include "ppc/mc.h"
#endif
static inline void pixel_avg( uint8_t *dst, int i_dst_stride,
uint8_t *src1, int i_src1_stride,
uint8_t *src2, int i_src2_stride,
int i_width, int i_height )
{
int x, y;
for( y = 0; y < i_height; y++ )
{
for( x = 0; x < i_width; x++ )
{
dst[x] = ( src1[x] + src2[x] + 1 ) >> 1;
}
dst += i_dst_stride;
src1 += i_src1_stride;
src2 += i_src2_stride;
}
}
static inline void pixel_avg_wxh( uint8_t *dst, int i_dst, uint8_t *src1, int i_src1, uint8_t *src2, int i_src2, int width, int height )
{
int x, y;
for( y = 0; y < height; y++ )
{
for( x = 0; x < width; x++ )
{
dst[x] = ( src1[x] + src2[x] + 1 ) >> 1;
}
src1 += i_src1;
src2 += i_src2;
dst += i_dst;
}
}
/* Implicit weighted bipred only:
* assumes log2_denom = 5, offset = 0, weight1 + weight2 = 64 */
#define op_scale2(x) dst[x] = x264_clip_uint8( (src1[x]*i_weight1 + src2[x]*i_weight2 + (1<<5)) >> 6 )
static inline void pixel_avg_weight_wxh( uint8_t *dst, int i_dst, uint8_t *src1, int i_src1, uint8_t *src2, int i_src2, int width, int height, int i_weight1 )
{
int y;
const int i_weight2 = 64 - i_weight1;
for( y = 0; y<height; y++, dst += i_dst, src1 += i_src1, src2 += i_src2 )
{
op_scale2(0);
op_scale2(1);
if(width==2) continue;
op_scale2(2);
op_scale2(3);
if(width==4) continue;
op_scale2(4);
op_scale2(5);
op_scale2(6);
op_scale2(7);
if(width==8) continue;
op_scale2(8);
op_scale2(9);
op_scale2(10);
op_scale2(11);
op_scale2(12);
op_scale2(13);
op_scale2(14);
op_scale2(15);
}
}
#undef op_scale2
#define PIXEL_AVG_C( name, width, height ) \
static void name( uint8_t *pix1, int i_stride_pix1, \
uint8_t *pix2, int i_stride_pix2, \
uint8_t *pix3, int i_stride_pix3, int weight ) \
{ \
if( weight == 32 )\
pixel_avg_wxh( pix1, i_stride_pix1, pix2, i_stride_pix2, pix3, i_stride_pix3, width, height ); \
else\
pixel_avg_weight_wxh( pix1, i_stride_pix1, pix2, i_stride_pix2, pix3, i_stride_pix3, width, height, weight ); \
}
PIXEL_AVG_C( pixel_avg_16x16, 16, 16 )
PIXEL_AVG_C( pixel_avg_16x8, 16, 8 )
PIXEL_AVG_C( pixel_avg_8x16, 8, 16 )
PIXEL_AVG_C( pixel_avg_8x8, 8, 8 )
PIXEL_AVG_C( pixel_avg_8x4, 8, 4 )
PIXEL_AVG_C( pixel_avg_4x8, 4, 8 )
PIXEL_AVG_C( pixel_avg_4x4, 4, 4 )
PIXEL_AVG_C( pixel_avg_4x2, 4, 2 )
PIXEL_AVG_C( pixel_avg_2x4, 2, 4 )
PIXEL_AVG_C( pixel_avg_2x2, 2, 2 )
static void mc_copy( uint8_t *src, int i_src_stride, uint8_t *dst, int i_dst_stride, int i_width, int i_height )
{
int y;
for( y = 0; y < i_height; y++ )
{
memcpy( dst, src, i_width );
src += i_src_stride;
dst += i_dst_stride;
}
}
#define TAPFILTER(pix, d) ((pix)[x-2*d] + (pix)[x+3*d] - 5*((pix)[x-d] + (pix)[x+2*d]) + 20*((pix)[x] + (pix)[x+d]))
static void hpel_filter( uint8_t *dsth, uint8_t *dstv, uint8_t *dstc, uint8_t *src,
int stride, int width, int height )
{
int16_t *buf = x264_malloc((width+5)*sizeof(int16_t));
int x, y;
#pragma omp parallel for
for( y=0; y<height; y++ )
{
for( x=-2; x<width+3; x++ )
{
int v = TAPFILTER(src,stride);
dstv[x] = x264_clip_uint8((v + 16) >> 5);
buf[x+2] = v;
}
for( x=0; x<width; x++ )
dstc[x] = x264_clip_uint8((TAPFILTER(buf+2,1) + 512) >> 10);
for( x=0; x<width; x++ )
dsth[x] = x264_clip_uint8((TAPFILTER(src,1) + 16) >> 5);
dsth += stride;
dstv += stride;
dstc += stride;
src += stride;
}
x264_free(buf);
}
static const int hpel_ref0[16] = {0,1,1,1,0,1,1,1,2,3,3,3,0,1,1,1};
static const int hpel_ref1[16] = {0,0,0,0,2,2,3,2,2,2,3,2,2,2,3,2};
static void mc_luma( uint8_t *dst, int i_dst_stride,
uint8_t *src[4], int i_src_stride,
int mvx, int mvy,
int i_width, int i_height )
{
int qpel_idx = ((mvy&3)<<2) + (mvx&3);
int offset = (mvy>>2)*i_src_stride + (mvx>>2);
uint8_t *src1 = src[hpel_ref0[qpel_idx]] + offset + ((mvy&3) == 3) * i_src_stride;
if( qpel_idx & 5 ) /* qpel interpolation needed */
{
uint8_t *src2 = src[hpel_ref1[qpel_idx]] + offset + ((mvx&3) == 3);
pixel_avg( dst, i_dst_stride, src1, i_src_stride,
src2, i_src_stride, i_width, i_height );
}
else
{
mc_copy( src1, i_src_stride, dst, i_dst_stride, i_width, i_height );
}
}
static uint8_t *get_ref( uint8_t *dst, int *i_dst_stride,
uint8_t *src[4], int i_src_stride,
int mvx, int mvy,
int i_width, int i_height )
{
int qpel_idx = ((mvy&3)<<2) + (mvx&3);
int offset = (mvy>>2)*i_src_stride + (mvx>>2);
uint8_t *src1 = src[hpel_ref0[qpel_idx]] + offset + ((mvy&3) == 3) * i_src_stride;
if( qpel_idx & 5 ) /* qpel interpolation needed */
{
uint8_t *src2 = src[hpel_ref1[qpel_idx]] + offset + ((mvx&3) == 3);
pixel_avg( dst, *i_dst_stride, src1, i_src_stride,
src2, i_src_stride, i_width, i_height );
return dst;
}
else
{
*i_dst_stride = i_src_stride;
return src1;
}
}
/* full chroma mc (ie until 1/8 pixel)*/
static void mc_chroma( uint8_t *dst, int i_dst_stride,
uint8_t *src, int i_src_stride,
int mvx, int mvy,
int i_width, int i_height )
{
uint8_t *srcp;
int x, y;
const int d8x = mvx&0x07;
const int d8y = mvy&0x07;
const int cA = (8-d8x)*(8-d8y);
const int cB = d8x *(8-d8y);
const int cC = (8-d8x)*d8y;
const int cD = d8x *d8y;
src += (mvy >> 3) * i_src_stride + (mvx >> 3);
srcp = &src[i_src_stride];
for( y = 0; y < i_height; y++ )
{
for( x = 0; x < i_width; x++ )
{
dst[x] = ( cA*src[x] + cB*src[x+1] +
cC*srcp[x] + cD*srcp[x+1] + 32 ) >> 6;
}
dst += i_dst_stride;
src = srcp;
srcp += i_src_stride;
}
}
#define MC_COPY(W) \
static void mc_copy_w##W( uint8_t *dst, int i_dst, uint8_t *src, int i_src, int i_height ) \
{ \
mc_copy( src, i_src, dst, i_dst, W, i_height ); \
}
MC_COPY( 16 )
MC_COPY( 8 )
MC_COPY( 4 )
static void plane_copy( uint8_t *dst, int i_dst,
uint8_t *src, int i_src, int w, int h)
{
while( h-- )
{
memcpy( dst, src, w );
dst += i_dst;
src += i_src;
}
}
static void prefetch_fenc_null( uint8_t *pix_y, int stride_y,
uint8_t *pix_uv, int stride_uv, int mb_x )
{}
static void prefetch_ref_null( uint8_t *pix, int stride, int parity )
{}
static void memzero_aligned( void * dst, int n )
{
memset( dst, 0, n );
}
void x264_frame_init_lowres( x264_t *h, x264_frame_t *frame )
{
uint8_t *src = frame->plane[0];
int i_stride = frame->i_stride[0];
int i_height = frame->i_lines[0];
int i_width = frame->i_width[0];
int x, y;
// duplicate last row and column so that their interpolation doesn't have to be special-cased
for( y=0; y<i_height; y++ )
src[i_width+y*i_stride] = src[i_width-1+y*i_stride];
h->mc.memcpy_aligned( src+i_stride*i_height, src+i_stride*(i_height-1), i_width );
h->mc.frame_init_lowres_core( src, frame->lowres[0], frame->lowres[1], frame->lowres[2], frame->lowres[3],
i_stride, frame->i_stride_lowres, frame->i_width_lowres, frame->i_lines_lowres );
x264_frame_expand_border_lowres( frame );
memset( frame->i_cost_est, -1, sizeof(frame->i_cost_est) );
for( x = 0; x < h->param.i_bframe + 2; x++ )
for( y = 0; y < h->param.i_bframe + 2; y++ )
frame->i_row_satds[y][x][0] = -1;
for( y = 0; y <= !!h->param.i_bframe; y++ )
for( x = 0; x <= h->param.i_bframe; x++ )
frame->lowres_mvs[y][x][0][0] = 0x7FFF;
}
static void frame_init_lowres_core( uint8_t *src0, uint8_t *dst0, uint8_t *dsth, uint8_t *dstv, uint8_t *dstc,
int src_stride, int dst_stride, int width, int height )
{
int x,y;
for( y=0; y<height; y++ )
{
uint8_t *src1 = src0+src_stride;
uint8_t *src2 = src1+src_stride;
for( x=0; x<width; x++ )
{
// slower than naive bilinear, but matches asm
#define FILTER(a,b,c,d) ((((a+b+1)>>1)+((c+d+1)>>1)+1)>>1)
dst0[x] = FILTER(src0[2*x ], src1[2*x ], src0[2*x+1], src1[2*x+1]);
dsth[x] = FILTER(src0[2*x+1], src1[2*x+1], src0[2*x+2], src1[2*x+2]);
dstv[x] = FILTER(src1[2*x ], src2[2*x ], src1[2*x+1], src2[2*x+1]);
dstc[x] = FILTER(src1[2*x+1], src2[2*x+1], src1[2*x+2], src2[2*x+2]);
#undef FILTER
}
src0 += src_stride*2;
dst0 += dst_stride;
dsth += dst_stride;
dstv += dst_stride;
dstc += dst_stride;
}
}
void x264_mc_init( int cpu, x264_mc_functions_t *pf )
{
pf->mc_luma = mc_luma;
pf->get_ref = get_ref;
pf->mc_chroma = mc_chroma;
pf->avg[PIXEL_16x16]= pixel_avg_16x16;
pf->avg[PIXEL_16x8] = pixel_avg_16x8;
pf->avg[PIXEL_8x16] = pixel_avg_8x16;
pf->avg[PIXEL_8x8] = pixel_avg_8x8;
pf->avg[PIXEL_8x4] = pixel_avg_8x4;
pf->avg[PIXEL_4x8] = pixel_avg_4x8;
pf->avg[PIXEL_4x4] = pixel_avg_4x4;
pf->avg[PIXEL_4x2] = pixel_avg_4x2;
pf->avg[PIXEL_2x4] = pixel_avg_2x4;
pf->avg[PIXEL_2x2] = pixel_avg_2x2;
pf->copy_16x16_unaligned = mc_copy_w16;
pf->copy[PIXEL_16x16] = mc_copy_w16;
pf->copy[PIXEL_8x8] = mc_copy_w8;
pf->copy[PIXEL_4x4] = mc_copy_w4;
pf->plane_copy = plane_copy;
pf->hpel_filter = hpel_filter;
pf->prefetch_fenc = prefetch_fenc_null;
pf->prefetch_ref = prefetch_ref_null;
pf->memcpy_aligned = memcpy;
pf->memzero_aligned = memzero_aligned;
pf->frame_init_lowres_core = frame_init_lowres_core;
#ifdef HAVE_MMX
x264_mc_init_mmx( cpu, pf );
#endif
#ifdef ARCH_PPC
if( cpu&X264_CPU_ALTIVEC )
x264_mc_altivec_init( pf );
#endif
}
void x264_frame_filter( x264_t *h, x264_frame_t *frame, int mb_y, int b_end )
{
const int b_interlaced = h->sh.b_mbaff;
const int stride = frame->i_stride[0] << b_interlaced;
const int width = frame->i_width[0];
int start = (mb_y*16 >> b_interlaced) - 8; // buffer = 4 for deblock + 3 for 6tap, rounded to 8
int height = ((b_end ? frame->i_lines[0] : mb_y*16) >> b_interlaced) + 8;
int offs = start*stride - 8; // buffer = 3 for 6tap, aligned to 8 for simd
int x, y;
if( mb_y & b_interlaced )
return;
for( y=0; y<=b_interlaced; y++, offs+=frame->i_stride[0] )
{
h->mc.hpel_filter(
frame->filtered[1] + offs,
frame->filtered[2] + offs,
frame->filtered[3] + offs,
frame->plane[0] + offs,
stride, width + 16, height - start );
}
/* generate integral image:
* frame->integral contains 2 planes. in the upper plane, each element is
* the sum of an 8x8 pixel region with top-left corner on that point.
* in the lower plane, 4x4 sums (needed only with --partitions p4x4). */
if( frame->integral )
{
if( start < 0 )
{
memset( frame->integral - PADV * stride - PADH, 0, stride * sizeof(uint16_t) );
start = -PADV;
}
if( b_end )
height += PADV-8;
#pragma omp for
for( y = start; y < height; y++ )
{
uint8_t *ref = frame->plane[0] + y * stride - PADH;
uint16_t *line = frame->integral + (y+1) * stride - PADH + 1;
uint16_t v = line[0] = 0;
for( x = 1; x < stride-1; x++ )
line[x] = v += ref[x] + line[x-stride] - line[x-stride-1];
line -= 8*stride;
if( y >= 9-PADV )
{
uint16_t *sum4 = line + stride * (frame->i_lines[0] + PADV*2);
for( x = 1; x < stride-8; x++, line++, sum4++ )
{
sum4[0] = line[4+4*stride] - line[4] - line[4*stride] + line[0];
line[0] += line[8+8*stride] - line[8] - line[8*stride];
}
}
}
}
}
|
CPSfield.h | #ifndef CPS_FIELD_H
#define CPS_FIELD_H
#include<algorithm>
#include<comms/scu.h>
#include<alg/a2a/fftw_wrapper.h>
#include<alg/a2a/utils.h>
#include<alg/a2a/CPSfield_policies.h>
CPS_START_NAMESPACE
typedef std::complex<float> ComplexF;
typedef std::complex<double> ComplexD;
//A wrapper for a CPS-style field. Most functionality is generic so it can do quite a lot of cool things
template< typename SiteType, int SiteSize, typename DimensionPolicy, typename FlavorPolicy = DynamicFlavorPolicy, typename AllocPolicy = StandardAllocPolicy>
class CPSfield: public DimensionPolicy, public FlavorPolicy, public AllocPolicy{
SiteType* f;
protected:
int sites; //number of Euclidean sites
int flavors; //number of flavors
int fsites; //number of generalized sites (including flavor)
int fsize; //number of SiteType in the array = SiteSize * fsites
void alloc(){
this->_alloc((void**)&f, fsize*sizeof(SiteType));
}
void freemem(){
this->_free((void*)f);
}
public:
enum { FieldSiteSize = SiteSize };
typedef SiteType FieldSiteType;
typedef DimensionPolicy FieldDimensionPolicy;
typedef FlavorPolicy FieldFlavorPolicy;
typedef AllocPolicy FieldAllocPolicy;
typedef typename DimensionPolicy::ParamType InputParamType;
CPSfield(const InputParamType ¶ms): DimensionPolicy(params){
this->setFlavors(flavors); //from FlavorPolicy
this->setSites(sites,fsites,flavors); //from DimensionPolicy
fsize = fsites * SiteSize;
alloc();
}
CPSfield(const CPSfield<SiteType,SiteSize,DimensionPolicy,FlavorPolicy,AllocPolicy> &r): fsize(r.fsize), flavors(r.flavors),sites(r.sites),fsites(r.fsites), DimensionPolicy(r){
alloc();
memcpy(f,r.f,sizeof(SiteType) * fsize);
}
//Copy from external pointer. Make sure you set the params and policies correctly because it has no way of bounds checking
CPSfield(SiteType const* copyme, const InputParamType ¶ms): DimensionPolicy(params){
this->setFlavors(flavors); //from FlavorPolicy
this->setSites(sites,fsites,flavors); //from DimensionPolicy
fsize = fsites * SiteSize;
alloc();
memcpy(f,copyme,sizeof(SiteType) * fsize);
}
//Set the field to zero
void zero(){
memset(f, 0, sizeof(SiteType) * fsize);
}
CPSfield<SiteType,SiteSize,DimensionPolicy,FlavorPolicy,AllocPolicy> &operator=(const CPSfield<SiteType,SiteSize,DimensionPolicy,FlavorPolicy,AllocPolicy> &r){
static_cast<DimensionPolicy&>(*this) = r; //copy policy info
sites = r.sites;
fsites = r.fsites;
flavors = r.flavors;
int old_fsize = fsize;
fsize = r.fsize;
if(fsize != old_fsize){
freemem();
alloc();
}
memcpy(f,r.f,sizeof(SiteType) * fsize);
return *this;
}
static std::size_t byte_size(const InputParamType ¶ms){
CPSfield<SiteType,SiteSize,DimensionPolicy,FlavorPolicy,NullAllocPolicy> tmp(params); //doesn't allocate
std::size_t out = SiteSize * sizeof(SiteType);
return tmp.nfsites() * out;
}
std::size_t byte_size() const{
return this->nfsites() * SiteSize * sizeof(SiteType);
}
//Set each element to a uniform random number in the specified range.
//WARNING: Uses only the current RNG in LRG, and does not change this based on site. This is therefore only useful for testing*
void testRandom(const Float hi = 0.5, const Float lo = -0.5);
inline const int nsites() const{ return sites; }
inline const int nflavors() const{ return flavors; }
inline const int nfsites() const{ return fsites; } //number of generalized sites including flavor
//Number of SiteType per site
inline const int siteSize() const{ return SiteSize; }
//Number of SiteType in field
inline const int size() const{ return fsize; }
//Accessors
inline SiteType* ptr(){ return f; }
inline SiteType const* ptr() const{ return f; }
//Accessors *do not check bounds*
//int fsite is the linearized N-dimensional site/flavorcoordinate with the mapping specified by the policy class
inline int fsite_offset(const int fsite) const{ return SiteSize*fsite; }
inline SiteType* fsite_ptr(const int fsite){ //fsite is in the internal flavor/Euclidean mapping of the DimensionPolicy. Use only if you know what you are doing
return f + SiteSize*fsite;
}
inline SiteType const* fsite_ptr(const int fsite) const{ //fsite is in the internal flavor/Euclidean mapping of the DimensionPolicy. Use only if you know what you are doing
return f + SiteSize*fsite;
}
//int site is the linearized N-dimension Euclidean coordinate with mapping specified by the policy class
inline int site_offset(const int site, const int flav = 0) const{ return SiteSize*this->siteFsiteConvert(site,flav); }
inline int site_offset(const int x[], const int flav = 0) const{ return SiteSize*this->fsiteMap(x,flav); }
inline SiteType* site_ptr(const int site, const int flav = 0){ //site is in the internal Euclidean mapping of the DimensionPolicy
return f + SiteSize*this->siteFsiteConvert(site,flav);
}
inline SiteType* site_ptr(const int x[], const int flav = 0){
return f + SiteSize*this->fsiteMap(x,flav);
}
inline SiteType const* site_ptr(const int site, const int flav = 0) const{ //site is in the internal Euclidean mapping of the DimensionPolicy
return f + SiteSize*this->siteFsiteConvert(site,flav);
}
inline SiteType const* site_ptr(const int x[], const int flav = 0) const{
return f + SiteSize*this->fsiteMap(x,flav);
}
inline int flav_offset() const{ return SiteSize*this->fsiteFlavorOffset(); } //pointer offset between flavors
//Set this field to the average of this and a second field, r
void average(const CPSfield<SiteType,SiteSize,DimensionPolicy,FlavorPolicy,AllocPolicy> &r, const bool ¶llel = true);
//Self destruct initialized (no more sfree!!)
virtual ~CPSfield(){
freemem();
}
//Import an export field with arbitrary DimensionPolicy (must have same Euclidean dimension!) and precision. Must have same SiteSize and FlavorPolicy
template< typename extSiteType, typename extDimPol, typename extFlavPol, typename extAllocPol>
void importField(const CPSfield<extSiteType,SiteSize,extDimPol,extFlavPol,extAllocPol> &r);
template< typename extSiteType, typename extDimPol, typename extFlavPol, typename extAllocPol>
void exportField(CPSfield<extSiteType,SiteSize,extDimPol,extFlavPol,extAllocPol> &r) const;
bool equals(const CPSfield<SiteType,SiteSize,DimensionPolicy,FlavorPolicy,AllocPolicy> &r) const{
for(int i=0;i<fsize;i++)
if(f[i] != r.f[i]) return false;
return true;
}
#define CONDITION is_double_or_float<typename extField::FieldSiteType>::value \
&& is_double_or_float<SiteType>::value \
&& _equal<DimensionPolicy, typename extField::FieldDimensionPolicy>::value \
&& _equal<FlavorPolicy, typename extField::FieldFlavorPolicy>::value
template<typename extField>
bool equals(const extField &r, typename my_enable_if<CONDITION,const double>::type tolerance) const{
for(int i=0;i<fsize;i++){
if( fabs(f[i] - r.f[i]) > tolerance) return false;
}
return true;
}
#undef CONDITION
#define CONDITION is_complex_double_or_float<typename extField::FieldSiteType>::value \
&& is_complex_double_or_float<SiteType>::value \
&& _equal<DimensionPolicy, typename extField::FieldDimensionPolicy>::value \
&& _equal<FlavorPolicy, typename extField::FieldFlavorPolicy>::value
template<typename extField>
bool equals(const extField &r, typename my_enable_if<CONDITION,const double>::type tolerance, bool verbose = false) const{
for(int i=0;i<fsize;i++){
if( fabs(f[i].real() - r.f[i].real()) > tolerance || fabs(f[i].imag() - r.f[i].imag()) > tolerance ){
if(verbose && !UniqueID()){
int rem = i;
int s = rem % SiteSize; rem /= SiteSize;
int x = rem % sites; rem /= sites;
int flav = rem;
int coor[DimensionPolicy::EuclideanDimension]; this->siteUnmap(x,coor);
std::ostringstream os; for(int a=0;a<DimensionPolicy::EuclideanDimension;a++) os << coor[a] << " ";
std::string coor_str = os.str();
printf("Err: off %d [s=%d coor=(%s) f=%d] this[%g,%g] vs that[%g,%g] : diff [%g,%g]\n",i, s,coor_str.c_str(),flav,
f[i].real(),f[i].imag(),r.f[i].real(),r.f[i].imag(),fabs(f[i].real()-r.f[i].real()), fabs(f[i].imag()-r.f[i].imag()) );
}
return false;
}
}
return true;
}
#undef CONDITION
#ifdef USE_GRID
#define CONDITION _equal< typename ComplexClassify<typename extField::FieldSiteType>::type , grid_vector_complex_mark>::value \
&& _equal<typename ComplexClassify<SiteType>::type,grid_vector_complex_mark>::value \
&& _equal<DimensionPolicy, typename extField::FieldDimensionPolicy>::value \
&& _equal<FlavorPolicy, typename extField::FieldFlavorPolicy>::value
template<typename extField>
bool equals(const extField &r, typename my_enable_if<CONDITION,const double>::type tolerance, bool verbose = false) const{
typedef typename SiteType::scalar_type ThisScalarType;
typedef typename extField::FieldSiteType::scalar_type ThatScalarType;
typedef typename DimensionPolicy::EquivalentScalarPolicy ScalarDimPol;
NullObject null_obj;
CPSfield<ThisScalarType,SiteSize,ScalarDimPol, FlavorPolicy, StandardAllocPolicy> tmp_this(null_obj);
CPSfield<ThatScalarType,SiteSize,ScalarDimPol, FlavorPolicy, StandardAllocPolicy> tmp_that(null_obj);
tmp_this.importField(*this);
tmp_that.importField(r);
return tmp_this.equals(tmp_that,tolerance,verbose);
}
#undef CONDITION
#endif
double norm2() const;
#ifdef USE_GRID
//Import for Grid Lattice<blah> types
template<typename GridField>
void importGridField(const GridField &grid);
template<typename GridField>
void exportGridField(GridField &grid) const;
#endif
CPSfield & operator+=(const CPSfield &r){
#pragma omp parallel for
for(int i=0;i<fsize;i++) f[i] += r.f[i];
return *this;
}
CPSfield & operator-=(const CPSfield &r){
#pragma omp parallel for
for(int i=0;i<fsize;i++) f[i] -= r.f[i];
return *this;
}
CPSfield operator+(const CPSfield &r) const{
CPSfield out(*this); out += r;
return out;
}
CPSfield operator-(const CPSfield &r){
CPSfield out(*this); out -= r;
return out;
}
};
#define INHERIT_TYPEDEFS(...) \
typedef typename __VA_ARGS__::FieldSiteType FieldSiteType; \
typedef typename __VA_ARGS__::FieldDimensionPolicy FieldDimensionPolicy; \
typedef typename __VA_ARGS__::FieldFlavorPolicy FieldFlavorPolicy; \
typedef typename __VA_ARGS__::FieldAllocPolicy FieldAllocPolicy; \
typedef typename __VA_ARGS__::InputParamType InputParamType; \
enum { FieldSiteSize = __VA_ARGS__::FieldSiteSize }
#define DEFINE_ADDSUB_DERIVED(DerivedType) \
DerivedType & operator+=(const DerivedType &r){ \
this->CPSfield<FieldSiteType,FieldSiteSize,FieldDimensionPolicy,FieldFlavorPolicy,FieldAllocPolicy>::operator+=(r); return *this; \
} \
DerivedType & operator-=(const DerivedType &r){ \
this->CPSfield<FieldSiteType,FieldSiteSize,FieldDimensionPolicy,FieldFlavorPolicy,FieldAllocPolicy>::operator-=(r); return *this; \
} \
DerivedType operator+(const DerivedType &r) const{ \
DerivedType out(*this); out += r; \
return out; \
} \
DerivedType operator-(const DerivedType &r){ \
DerivedType out(*this); out -= r; \
return out; \
}
template< typename mf_Complex, typename DimensionPolicy, typename FlavorPolicy = DynamicFlavorPolicy, typename AllocPolicy = StandardAllocPolicy>
class CPSfermion: public CPSfield<mf_Complex,12,DimensionPolicy,FlavorPolicy,AllocPolicy>{
protected:
void gauge_fix_site_op(const int x4d[], const int &f, Lattice &lat,const bool dagger = false);
static void getMomentumUnits(double punits[3]);
//Apply the phase exp(-ip.x) to each site of this vector, where p is a *three momentum*
//The units of the momentum are 2pi/L for periodic BCs, pi/L for antiperiodic BCs and pi/2L for G-parity BCs
//x_lcl is the site in node lattice coords
void apply_phase_site_op(const int x_lcl[], const int &flav, const int p[], const double punits[]);
public:
INHERIT_TYPEDEFS(CPSfield<mf_Complex,12,DimensionPolicy,FlavorPolicy,AllocPolicy>);
CPSfermion(): CPSfield<mf_Complex,12,DimensionPolicy,FlavorPolicy,AllocPolicy>(NullObject()){} //default constructor won't compile if policies need arguments
CPSfermion(const InputParamType ¶ms): CPSfield<mf_Complex,12,DimensionPolicy,FlavorPolicy,AllocPolicy>(params){}
CPSfermion(const CPSfermion<mf_Complex,DimensionPolicy,FlavorPolicy,AllocPolicy> &r): CPSfield<mf_Complex,12,DimensionPolicy,FlavorPolicy,AllocPolicy>(r){}
};
template<typename FlavorPolicy>
struct GaugeFix3DInfo{};
template<>
struct GaugeFix3DInfo<DynamicFlavorPolicy>{
typedef int InfoType;
};
template<>
struct GaugeFix3DInfo<FixedFlavorPolicy<2> >{
typedef int InfoType;
};
template<>
struct GaugeFix3DInfo<FixedFlavorPolicy<1> >{
typedef std::pair<int,int> InfoType; //time, flavor (latter ignored if no GPBC)
};
template< typename mf_Complex, typename FlavorPolicy = DynamicFlavorPolicy, typename AllocPolicy = StandardAllocPolicy>
class CPSfermion3D: public CPSfermion<mf_Complex,SpatialPolicy,FlavorPolicy,AllocPolicy>{
void apply_phase_site_op(const int &sf,const int p[],double punits[]);
template< typename mf_Complex2, typename FlavorPolicy2>
friend struct _ferm3d_gfix_impl;
public:
INHERIT_TYPEDEFS(CPSfermion<mf_Complex,SpatialPolicy,FlavorPolicy,AllocPolicy>);
CPSfermion3D(): CPSfermion<mf_Complex,SpatialPolicy,FlavorPolicy>(){}
CPSfermion3D(const CPSfermion3D<mf_Complex> &r): CPSfermion<mf_Complex,SpatialPolicy,FlavorPolicy,AllocPolicy>(r){}
//Apply gauge fixing matrices to the field
//Because this is a 3d field we must also provide a time coordinate.
//If the field is one flavor we must also provide the flavor
//We make the field_info type dynamic based on the FlavorPolicy for this reason (pretty cool!)
void gaugeFix(Lattice &lat, const typename GaugeFix3DInfo<FlavorPolicy>::InfoType &field_info, const bool ¶llel);
//Apply the phase exp(-ip.x) to each site of this vector, where p is a *three momentum*
//The units of the momentum are 2pi/L for periodic BCs, pi/L for antiperiodic BCs and pi/2L for G-parity BCs
void applyPhase(const int p[], const bool ¶llel);
DEFINE_ADDSUB_DERIVED(CPSfermion3D);
};
template< typename mf_Complex, typename DimensionPolicy = FourDpolicy, typename FlavorPolicy = DynamicFlavorPolicy, typename AllocPolicy = StandardAllocPolicy>
class CPSfermion4D: public CPSfermion<mf_Complex,DimensionPolicy,FlavorPolicy,AllocPolicy>{
typename my_enable_if<DimensionPolicy::EuclideanDimension == 4, int>::type dummy;
void gauge_fix_site_op(int fi, Lattice &lat, const bool dagger = false);
void apply_phase_site_op(int sf,const int p[],double punits[]);
public:
INHERIT_TYPEDEFS(CPSfermion<mf_Complex,DimensionPolicy,FlavorPolicy,AllocPolicy>);
CPSfermion4D(): CPSfermion<mf_Complex,DimensionPolicy,FlavorPolicy,AllocPolicy>(){}
CPSfermion4D(const InputParamType ¶ms): CPSfermion<mf_Complex,DimensionPolicy,FlavorPolicy,AllocPolicy>(params){}
CPSfermion4D(const CPSfermion4D<mf_Complex,DimensionPolicy,FlavorPolicy,AllocPolicy> &r): CPSfermion<mf_Complex,DimensionPolicy,FlavorPolicy,AllocPolicy>(r){}
//Apply gauge fixing matrices to the field.
//NOTE: This does not work correctly for GPBC and FlavorPolicy==FixedFlavorPolicy<1> because we need to provide the flavor
//that this field represents to obtain the gauge-fixing matrix. I fixed this for CPSfermion3D and a similar implementation will work here
//dagger = true applied V^\dagger to the vector to invert a previous gauge fix
void gaugeFix(Lattice &lat, const bool parallel, const bool dagger = false);
//Apply the phase exp(-ip.x) to each site of this vector, where p is a *three momentum*
//The units of the momentum are 2pi/L for periodic BCs, pi/L for antiperiodic BCs and pi/2L for G-parity BCs
void applyPhase(const int p[], const bool ¶llel);
//Set the real and imaginary parts to uniform random numbers drawn from the appropriate local RNGs
void setUniformRandom(const Float &hi = 0.5, const Float &lo = -0.5);
void setGaussianRandom();
DEFINE_ADDSUB_DERIVED(CPSfermion4D);
};
template< typename mf_Complex, typename FlavorPolicy = DynamicFlavorPolicy, typename AllocPolicy = StandardAllocPolicy>
class CPSfermion5D: public CPSfield<mf_Complex,12,FiveDpolicy,FlavorPolicy,AllocPolicy>{
public:
INHERIT_TYPEDEFS(CPSfield<mf_Complex,12,FiveDpolicy,FlavorPolicy,AllocPolicy>);
CPSfermion5D(): CPSfield<mf_Complex,12,FiveDpolicy,FlavorPolicy,AllocPolicy>(NullObject()){}
CPSfermion5D(const CPSfermion5D<mf_Complex,FlavorPolicy,AllocPolicy> &r): CPSfield<mf_Complex,12,FiveDpolicy,FlavorPolicy,AllocPolicy>(r){}
#ifdef USE_BFM
private:
template<typename FloatExt>
void impexFermion(Fermion_t bfm_field, const int cb, const int do_import, bfm_qdp<FloatExt> &dwf){
if(this->flavors == 2) assert(dwf.gparity);
const int sc_incr = dwf.nsimd() * 2; //stride between spin-color indices
FloatExt * bb = (FloatExt*)bfm_field;
typedef typename mf_Complex::value_type mf_Float;
#pragma omp parallel for
for(int fs=0;fs<this->fsites;fs++){
int x[5], f; this->fsiteUnmap(fs);
if( (x[0]+x[1]+x[2]+x[3] + (dwf.precon_5d ? x[4] : 0)) % 2 == cb){
mf_Float* cps_base = (mf_Float*)this->fsite_ptr(fs);
int bidx_off = dwf.gparity ?
dwf.bagel_gparity_idx5d(x, x[4], 0, 0, 12, 1, f) :
dwf.bagel_idx5d(x, x[4], 0, 0, 12, 1);
FloatExt * bfm_base = bb + bidx_off;
for(int i=0;i<12;i++)
for(int reim=0;reim<2;reim++)
if(do_import)
*(cps_base + 2*i + reim) = *(bfm_base + 2*sc_incr*i + reim);
else
*(bfm_base + 2*sc_incr*i + reim) = *(cps_base + 2*i + reim);
}
}
}
public:
enum { FieldSiteSize = 12 };
template<typename FloatExt>
void importFermion(const Fermion_t bfm_field, const int cb, bfm_qdp<FloatExt> &dwf){
impexFermion<FloatExt>(const_cast<Fermion_t>(bfm_field), cb, 1, dwf);
}
template<typename FloatExt>
void exportFermion(const Fermion_t bfm_field, const int cb, bfm_qdp<FloatExt> &dwf) const{
const_cast<CPSfermion5D<mf_Complex,FlavorPolicy,AllocPolicy>*>(this)->impexFermion<FloatExt>(bfm_field, cb, 0, dwf);
}
#endif
void setGaussianRandom();
DEFINE_ADDSUB_DERIVED(CPSfermion5D);
};
template< typename mf_Complex, typename DimensionPolicy = FourDpolicy, typename FlavorPolicy = DynamicFlavorPolicy, typename AllocPolicy = StandardAllocPolicy>
class CPScomplex4D: public CPSfield<mf_Complex,1,DimensionPolicy,FlavorPolicy,AllocPolicy>{
typename my_enable_if<DimensionPolicy::EuclideanDimension == 4, int>::type dummy;
public:
INHERIT_TYPEDEFS(CPSfield<mf_Complex,1,DimensionPolicy,FlavorPolicy,AllocPolicy>);
CPScomplex4D(): CPSfield<mf_Complex,1,DimensionPolicy,FlavorPolicy,AllocPolicy>(NullObject()){}
CPScomplex4D(const InputParamType ¶ms): CPSfield<mf_Complex,1,DimensionPolicy,FlavorPolicy,AllocPolicy>(params){}
CPScomplex4D(const CPScomplex4D<mf_Complex,DimensionPolicy,FlavorPolicy,AllocPolicy> &r): CPSfield<mf_Complex,1,DimensionPolicy,FlavorPolicy,AllocPolicy>(r){}
//Make a random complex scalar field of type
void setRandom(const RandomType &type);
//Set the real and imaginary parts to uniform random numbers drawn from the appropriate local RNGs
void setUniformRandom(const Float &hi = 0.5, const Float &lo = -0.5);
DEFINE_ADDSUB_DERIVED(CPScomplex4D);
};
//3d complex number field
template< typename mf_Complex, typename FlavorPolicy = DynamicFlavorPolicy, typename AllocPolicy = StandardAllocPolicy>
class CPScomplexSpatial: public CPSfield<mf_Complex,1,SpatialPolicy,FlavorPolicy,AllocPolicy>{
public:
INHERIT_TYPEDEFS(CPSfield<mf_Complex,1,SpatialPolicy,FlavorPolicy,AllocPolicy>);
CPScomplexSpatial(): CPSfield<mf_Complex,1,SpatialPolicy,FlavorPolicy,AllocPolicy>(NullObject()){}
CPScomplexSpatial(const CPScomplexSpatial<mf_Complex,FlavorPolicy,AllocPolicy> &r): CPSfield<mf_Complex,1,SpatialPolicy,FlavorPolicy,AllocPolicy>(r){}
DEFINE_ADDSUB_DERIVED(CPScomplexSpatial);
};
//Lattice-spanning 'global' 3d complex field
template< typename mf_Complex, typename FlavorPolicy = DynamicFlavorPolicy, typename AllocPolicy = StandardAllocPolicy>
class CPSglobalComplexSpatial: public CPSfield<mf_Complex,1,GlobalSpatialPolicy,FlavorPolicy,AllocPolicy>{
template< typename _mf_Complex, typename _FlavorPolicy, typename _AllocPolicy,
typename extComplex, typename extDimPolicy, typename extAllocPolicy,
typename complex_class, int extEuclDim>
friend struct _CPSglobalComplexSpatial_scatter_impl;
public:
INHERIT_TYPEDEFS(CPSfield<mf_Complex,1,GlobalSpatialPolicy,FlavorPolicy,AllocPolicy>);
CPSglobalComplexSpatial(): CPSfield<mf_Complex,1,GlobalSpatialPolicy,FlavorPolicy,AllocPolicy>(NullObject()){}
CPSglobalComplexSpatial(const CPSglobalComplexSpatial<mf_Complex,FlavorPolicy,AllocPolicy> &r): CPSfield<mf_Complex,1,GlobalSpatialPolicy,FlavorPolicy,AllocPolicy>(r){}
//Perform the FFT
void fft();
//Scatter to a local field
template<typename extComplex, typename extDimPolicy, typename extAllocPolicy>
void scatter(CPSfield<extComplex,1,extDimPolicy,FlavorPolicy,extAllocPolicy> &to) const;
DEFINE_ADDSUB_DERIVED(CPSglobalComplexSpatial);
};
//This field contains an entire row of sub-lattices along a particular dimension. Every node along that row contains an identical copy
template< typename SiteType, int SiteSize, typename DimensionPolicy, typename FlavorPolicy = DynamicFlavorPolicy, typename AllocPolicy = StandardAllocPolicy>
class CPSfieldGlobalInOneDir: public CPSfield<SiteType,SiteSize,DimensionPolicy,FlavorPolicy,AllocPolicy>{
public:
INHERIT_TYPEDEFS(CPSfield<SiteType,SiteSize,DimensionPolicy,FlavorPolicy,AllocPolicy>);
CPSfieldGlobalInOneDir(const int &dir): CPSfield<SiteType,SiteSize,DimensionPolicy,FlavorPolicy,AllocPolicy>(dir){}
CPSfieldGlobalInOneDir(const CPSfieldGlobalInOneDir<SiteType,SiteSize,DimensionPolicy,FlavorPolicy,AllocPolicy> &r): CPSfield<SiteType,SiteSize,DimensionPolicy,FlavorPolicy,AllocPolicy>(r){}
//Gather up the row. Involves internode communication
template<typename extSiteType, typename extDimPol, typename extAllocPol>
void gather(const CPSfield<extSiteType,SiteSize,extDimPol,FlavorPolicy,extAllocPol> &from);
//Scatter back out. Involves no communication
template<typename extSiteType, typename extDimPol, typename extAllocPol>
void scatter(CPSfield<extSiteType,SiteSize,extDimPol,FlavorPolicy,extAllocPol> &to) const;
//Perform a fast Fourier transform along the principal direction. It currently assumes the DimensionPolicy has the sites mapped in canonical ordering
void fft(const bool inverse_transform = false);
DEFINE_ADDSUB_DERIVED(CPSfieldGlobalInOneDir);
};
template< typename mf_Complex, typename FlavorPolicy = DynamicFlavorPolicy, typename AllocPolicy = StandardAllocPolicy>
class CPSfermion4DglobalInOneDir: public CPSfieldGlobalInOneDir<mf_Complex,12,FourDglobalInOneDir,FlavorPolicy,AllocPolicy>{
public:
INHERIT_TYPEDEFS(CPSfieldGlobalInOneDir<mf_Complex,12,FourDglobalInOneDir,FlavorPolicy,AllocPolicy>);
CPSfermion4DglobalInOneDir(const int &dir): CPSfieldGlobalInOneDir<mf_Complex,12,FourDglobalInOneDir,FlavorPolicy,AllocPolicy>(dir){}
CPSfermion4DglobalInOneDir(const CPSfermion4DglobalInOneDir<mf_Complex,FlavorPolicy,AllocPolicy> &r): CPSfieldGlobalInOneDir<mf_Complex,12,FourDglobalInOneDir,FlavorPolicy,AllocPolicy>(r){}
DEFINE_ADDSUB_DERIVED(CPSfermion4DglobalInOneDir);
};
template< typename mf_Complex, typename FlavorPolicy = DynamicFlavorPolicy, typename AllocPolicy = StandardAllocPolicy>
class CPSfermion3DglobalInOneDir: public CPSfieldGlobalInOneDir<mf_Complex,12,ThreeDglobalInOneDir,FlavorPolicy,AllocPolicy>{
public:
INHERIT_TYPEDEFS(CPSfieldGlobalInOneDir<mf_Complex,12,ThreeDglobalInOneDir,FlavorPolicy,AllocPolicy>);
CPSfermion3DglobalInOneDir(const int &dir): CPSfieldGlobalInOneDir<mf_Complex,12,ThreeDglobalInOneDir,FlavorPolicy,AllocPolicy>(dir){}
CPSfermion3DglobalInOneDir(const CPSfermion3DglobalInOneDir<mf_Complex,FlavorPolicy,AllocPolicy> &r): CPSfieldGlobalInOneDir<mf_Complex,12,ThreeDglobalInOneDir,FlavorPolicy,AllocPolicy>(r){}
DEFINE_ADDSUB_DERIVED(CPSfermion3DglobalInOneDir);
};
////////Checkerboarded types/////////////
template< typename mf_Complex, typename CBpolicy, typename FlavorPolicy = DynamicFlavorPolicy, typename AllocPolicy = StandardAllocPolicy>
class CPSfermion5Dprec: public CPSfield<mf_Complex,12,FiveDevenOddpolicy<CBpolicy>,FlavorPolicy,AllocPolicy>{
public:
INHERIT_TYPEDEFS(CPSfield<mf_Complex,12,FiveDevenOddpolicy<CBpolicy>,FlavorPolicy,AllocPolicy>);
CPSfermion5Dprec(): CPSfield<mf_Complex,12,FiveDevenOddpolicy<CBpolicy>,FlavorPolicy,AllocPolicy>(NullObject()){}
CPSfermion5Dprec(const CPSfermion5Dprec<mf_Complex,CBpolicy,FlavorPolicy,AllocPolicy> &r): CPSfield<mf_Complex,12,FiveDevenOddpolicy<CBpolicy>,FlavorPolicy,AllocPolicy>(r){}
DEFINE_ADDSUB_DERIVED(CPSfermion5Dprec);
};
template< typename mf_Complex, typename FlavorPolicy = DynamicFlavorPolicy, typename AllocPolicy = StandardAllocPolicy>
class CPSfermion5Dcb4Deven: public CPSfermion5Dprec<mf_Complex,CheckerBoard<4,0>,FlavorPolicy,AllocPolicy>{
public:
INHERIT_TYPEDEFS(CPSfermion5Dprec<mf_Complex,CheckerBoard<4,0>,FlavorPolicy,AllocPolicy>);
CPSfermion5Dcb4Deven(): CPSfermion5Dprec<mf_Complex,CheckerBoard<4,0>,FlavorPolicy,AllocPolicy>(){}
CPSfermion5Dcb4Deven(const CPSfermion5Dcb4Deven<mf_Complex,FlavorPolicy,AllocPolicy> &r): CPSfermion5Dprec<mf_Complex,CheckerBoard<4,0>,FlavorPolicy,AllocPolicy>(r){}
DEFINE_ADDSUB_DERIVED(CPSfermion5Dcb4Deven);
};
template< typename mf_Complex, typename FlavorPolicy = DynamicFlavorPolicy, typename AllocPolicy = StandardAllocPolicy>
class CPSfermion5Dcb4Dodd: public CPSfermion5Dprec<mf_Complex,CheckerBoard<4,1>,FlavorPolicy,AllocPolicy>{
public:
INHERIT_TYPEDEFS(CPSfermion5Dprec<mf_Complex,CheckerBoard<4,1>,FlavorPolicy,AllocPolicy>);
CPSfermion5Dcb4Dodd(): CPSfermion5Dprec<mf_Complex,CheckerBoard<4,1>,FlavorPolicy,AllocPolicy>(){}
CPSfermion5Dcb4Dodd(const CPSfermion5Dcb4Dodd<mf_Complex,FlavorPolicy,AllocPolicy> &r): CPSfermion5Dprec<mf_Complex,CheckerBoard<4,1>,FlavorPolicy,AllocPolicy>(r){}
DEFINE_ADDSUB_DERIVED(CPSfermion5Dcb4Dodd);
};
#include<alg/a2a/CPSfield_impl.h>
CPS_END_NAMESPACE
#endif
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