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ParaMonte Fortran 2.0.0
Parallel Monte Carlo and Machine Learning Library
See the latest version documentation. |
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ParaMonte Fortran 2.0.0
Parallel Monte Carlo and Machine Learning Library
See the latest version documentation. |
This module defines the relevant Fortran kind type-parameters frequently used in the ParaMonte library for the two standard supported Fortran and C-Fortran Interoperation (CFI) modes.
More...
Data Types | |
| type | model_type |
This is the abstract derived type for creating objects of class model_type that contain the characteristics of the processor representation model used for the requested data object.More... | |
| type | modelb_type |
This is the abstract derived type for creating objects of class modelb_type that contain the characteristics of the processor representation model used for the requested numeric data object.More... | |
| type | modeli_type |
This is the abstract derived type for creating objects of class modeli_type that contain the characteristics of the processor representation model used for the requested integer data object.More... | |
| type | modeln_type |
This is the abstract derived type for creating objects of class modeln_type that contain the characteristics of the processor representation model used for the requested numeric data object.More... | |
| type | modelr_type |
This is the abstract derived type for creating objects of class modelr_type that contain the characteristics of the processor representation model used for the requested integer data object.More... | |
Variables | |
| integer, parameter | SK_DEF = kind("a") |
| integer, parameter | IK_DEF = kind(1) |
| integer, parameter | CK_DEF = kind(1.d0) |
| integer, parameter | RK_DEF = kind(1.d0) |
| integer, parameter | LK_DEF = kind(.true.) |
| integer, parameter | SK5 = character_kinds(SK5_ENABLED) |
| integer, parameter | SK4 = character_kinds(SK4_ENABLED) |
| integer, parameter | SK3 = character_kinds(SK3_ENABLED) |
| integer, parameter | SK2 = character_kinds(SK2_ENABLED) |
| integer, parameter | SK1 = character_kinds(SK1_ENABLED) |
| integer, parameter | IK5 = integer_kinds(IK5_ENABLED) |
| integer, parameter | IR5 = range(0_IK5) |
| integer, parameter | IK4 = integer_kinds(IK4_ENABLED) |
| integer, parameter | IR4 = range(0_IK4) |
| integer, parameter | IK3 = integer_kinds(IK3_ENABLED) |
| integer, parameter | IR3 = range(0_IK3) |
| integer, parameter | IK2 = integer_kinds(IK2_ENABLED) |
| integer, parameter | IR2 = range(0_IK2) |
| integer, parameter | IK1 = integer_kinds(IK1_ENABLED) |
| integer, parameter | IR1 = range(0_IK1) |
| integer, parameter | LK5 = logical_kinds(LK5_ENABLED) |
| integer, parameter | LK4 = logical_kinds(LK4_ENABLED) |
| integer, parameter | LK3 = logical_kinds(LK3_ENABLED) |
| integer, parameter | LK2 = logical_kinds(LK2_ENABLED) |
| integer, parameter | LK1 = logical_kinds(LK1_ENABLED) |
| integer, parameter | CK5 = real_kinds(CK5_ENABLED) |
| integer, parameter | CP5 = precision(0._CK5) |
| integer, parameter | CR5 = range(0._CK5) |
| integer, parameter | CK4 = real_kinds(CK4_ENABLED) |
| integer, parameter | CP4 = precision(0._CK4) |
| integer, parameter | CR4 = range(0._CK4) |
| integer, parameter | CK3 = real_kinds(CK3_ENABLED) |
| integer, parameter | CP3 = precision(0._CK3) |
| integer, parameter | CR3 = range(0._CK3) |
| integer, parameter | CK2 = real_kinds(CK2_ENABLED) |
| integer, parameter | CP2 = precision(0._CK2) |
| integer, parameter | CR2 = range(0._CK2) |
| integer, parameter | CK1 = real_kinds(CK1_ENABLED) |
| integer, parameter | CP1 = precision(0._CK1) |
| integer, parameter | CR1 = range(0._CK1) |
| integer, parameter | RK5 = real_kinds(RK5_ENABLED) |
| integer, parameter | RP5 = precision(0._RK5) |
| integer, parameter | RR5 = range(0._RK5) |
| integer, parameter | RK4 = real_kinds(RK4_ENABLED) |
| integer, parameter | RP4 = precision(0._RK4) |
| integer, parameter | RR4 = range(0._RK4) |
| integer, parameter | RK3 = real_kinds(RK3_ENABLED) |
| integer, parameter | RP3 = precision(0._RK3) |
| integer, parameter | RR3 = range(0._RK3) |
| integer, parameter | RK2 = real_kinds(RK2_ENABLED) |
| integer, parameter | RP2 = precision(0._RK2) |
| integer, parameter | RR2 = range(0._RK2) |
| integer, parameter | RK1 = real_kinds(RK1_ENABLED) |
| integer, parameter | RP1 = precision(0._RK1) |
| integer, parameter | RR1 = range(0._RK1) |
| integer, parameter | SK = SK_DEF |
The default character kind in the ParaMonte library: kind("a") in Fortran, c_char in C-Fortran Interoperation mode. More... | |
| integer, parameter | IK = IK_DEF |
The default integer kind in the ParaMonte library: int32 in Fortran, c_int32_t in C-Fortran Interoperation mode. More... | |
| integer, parameter | LK = LK_DEF |
The default logical kind in the ParaMonte library: kind(.true.) in Fortran, kind(.true.) in C-Fortran Interoperation mode. More... | |
| integer, parameter | CK = CK_DEF |
The default complex kind in the ParaMonte library: real64 in Fortran, c_double_complex in C-Fortran Interoperation mode. More... | |
| integer, parameter | RK = RK_DEF |
The default real kind in the ParaMonte library: real64 in Fortran, c_double in C-Fortran Interoperation mode. More... | |
| integer, parameter | IK64 = IK64_DEF |
The integer kind for a 64-bits container. More... | |
| integer, parameter | IK32 = IK32_DEF |
The integer kind for a 32-bits container. More... | |
| integer, parameter | IK16 = IK16_DEF |
The integer kind for a 16-bits container. More... | |
| integer, parameter | IK8 = IK8_DEF |
The integer kind for an 8-bits container. More... | |
| integer, parameter | CK128 = CK128_DEF |
The complex kind for a 128-bits container. More... | |
| integer, parameter | CK64 = CK64_DEF |
The complex kind for a 64-bits container. More... | |
| integer, parameter | CK32 = CK32_DEF |
The complex kind for a 32-bits container. More... | |
| integer, parameter | RK128 = RK128_DEF |
The real kind for a 128-bits container. More... | |
| integer, parameter | RK64 = RK64_DEF |
The real kind for a 64-bits container. More... | |
| integer, parameter | RK32 = RK32_DEF |
The real kind for a 32-bits container. More... | |
| integer, parameter | SKU = selected_char_kind("iso_10646") |
| The UNICODE string kind in Fortran mode. More... | |
| integer, parameter | SKD = selected_char_kind("default") |
| The DEFAULT string kind in Fortran mode. More... | |
| integer, parameter | SKA = selected_char_kind("ascii") |
| The ASCII string kind in Fortran mode. More... | |
| integer, parameter | IKS = kind(1) |
| The single-precision integer kind in Fortran mode. On most platforms, this is a 32-bit integer kind. More... | |
| integer, parameter | IKD = selected_int_kind(18) |
| The double precision integer kind in Fortran mode. On most platforms, this is a 64-bit integer kind. More... | |
| integer, parameter | IKQ = selected_int_kind(36) |
| The quadru-precision integer kind in Fortran mode. On most platforms, this is a 128-bit integer kind. There is no guarantee of the existence of this kind (e.g., Intel does not support this). More... | |
| integer, parameter | RKS = kind(1.) |
| The single-precision real kind in Fortran mode. On most platforms, this is an 32-bit real kind. More... | |
| integer, parameter | RKD = kind(1.d0) |
| The double precision real kind in Fortran mode. On most platforms, this is an 64-bit real kind. More... | |
| integer, parameter | RKQ = selected_real_kind(2*precision(1._RKD)) |
| The quadru-precision real kind in Fortran mode. On most platforms, this is an 128-bit real kind. More... | |
| integer, parameter | CKS = RKS |
| The single-precision complex kind in Fortran mode. On most platforms, this is a 32-bit real kind. More... | |
| integer, parameter | CKD = RKD |
| The double precision complex kind in Fortran mode. On most platforms, this is a 64-bit real kind. More... | |
| integer, parameter | CKQ = RKQ |
| The quadru-precision complex kind in Fortran mode. On most platforms, this is a 128-bit real kind. More... | |
| integer, dimension(*), parameter | SKALL = pack([SK1, SK2, SK3, SK4, SK5], 0 < [SK1, SK2, SK3, SK4, SK5]) |
The integer vector containing all defined character kinds within the ParaMonte library.More... | |
| integer, dimension(*), parameter | IKALL = pack([IK1, IK2, IK3, IK4, IK5], 0 < [IK1, IK2, IK3, IK4, IK5]) |
The integer vector containing all defined integer kinds within the ParaMonte library.More... | |
| integer, dimension(*), parameter | LKALL = pack([LK1, LK2, LK3, LK4, LK5], 0 < [LK1, LK2, LK3, LK4, LK5]) |
The integer vector containing all defined logical kinds within the ParaMonte library.More... | |
| integer, dimension(*), parameter | CKALL = pack([CK1, CK2, CK3, CK4, CK5], 0 < [CK1, CK2, CK3, CK4, CK5]) |
The integer vector containing all defined complex kinds within the ParaMonte library.More... | |
| integer, dimension(*), parameter | RKALL = pack([RK1, RK2, RK3, RK4, RK5], 0 < [RK1, RK2, RK3, RK4, RK5]) |
The integer vector containing all defined real kinds within the ParaMonte library.More... | |
| integer, parameter | IRL = minval([IR1, IR2, IR3, IR4, IR5], mask = 0 < [IR1, IR2, IR3, IR4, IR5]) |
The scalar integer constant of intrinsic default kind, representing the lowest range among all integer kinds supported by the specific library build.More... | |
| integer, parameter | IRH = maxval([IR1, IR2, IR3, IR4, IR5], mask = 0 < [IR1, IR2, IR3, IR4, IR5]) |
The scalar integer constant of intrinsic default kind, representing the highest range among all integer kinds supported by the specific library build.More... | |
| integer, parameter | CPL = minval([CP1, CP2, CP3, CP4, CP5], mask = 0 < [CP1, CP2, CP3, CP4, CP5]) |
The scalar integer constant of intrinsic default kind, representing the lowest precision among all complex kinds supported by the specific library build.More... | |
| integer, parameter | CPH = maxval([CP1, CP2, CP3, CP4, CP5], mask = 0 < [CP1, CP2, CP3, CP4, CP5]) |
The scalar integer constant of intrinsic default kind, representing the highest precision among all complex kinds supported by the specific library build.More... | |
| integer, parameter | CRL = minval([CR1, CR2, CR3, CR4, CR5], mask = 0 < [CR1, CR2, CR3, CR4, CR5]) |
The scalar integer constant of intrinsic default kind, representing the lowest decimal exponent range among all complex kinds supported by the specific library build.More... | |
| integer, parameter | CRH = maxval([CR1, CR2, CR3, CR4, CR5], mask = 0 < [CR1, CR2, CR3, CR4, CR5]) |
The scalar integer constant of intrinsic default kind, representing the highest decimal exponent range among all complex kinds supported by the specific library build.More... | |
| integer, parameter | RPL = minval([RP1, RP2, RP3, RP4, RP5], mask = 0 < [RP1, RP2, RP3, RP4, RP5]) |
The scalar integer constant of intrinsic default kind, representing the lowest precision among all real kinds supported by the specific library build.More... | |
| integer, parameter | RPH = maxval([RP1, RP2, RP3, RP4, RP5], mask = 0 < [RP1, RP2, RP3, RP4, RP5]) |
The scalar integer constant of intrinsic default kind, representing the highest precision among all real kinds supported by the specific library build.More... | |
| integer, parameter | RRL = minval([RR1, RR2, RR3, RR4, RR5], mask = 0 < [RR1, RR2, RR3, RR4, RR5]) |
The scalar integer constant of intrinsic default kind, representing the lowest decimal exponent range among all real kinds supported by the specific library build.More... | |
| integer, parameter | RRH = maxval([RR1, RR2, RR3, RR4, RR5], mask = 0 < [RR1, RR2, RR3, RR4, RR5]) |
The scalar integer constant of intrinsic default kind, representing the highest decimal exponent range among all real kinds supported by the specific library build.More... | |
| integer, parameter | IKL = selected_int_kind(IRL) |
The scalar integer constant of intrinsic default kind, representing the lowest range integer kind type parameter available in the specific library build.More... | |
| integer, parameter | CKL = selected_real_kind(CPL) |
The scalar integer constant of intrinsic default kind, representing the lowest-precision complex kind type parameter available in the specific library build.More... | |
| integer, parameter | RKL = selected_real_kind(RPL) |
The scalar integer constant of intrinsic default kind, representing the lowest-precision real kind type parameter available in the specific library build.More... | |
| integer, parameter | CKLR = selected_real_kind(r = CRL) |
The scalar integer constant of intrinsic default kind, representing the highest-decimal-exponent-range complex kind type parameter available in the specific library build.More... | |
| integer, parameter | RKLR = selected_real_kind(r = RRL) |
The scalar integer constant of intrinsic default kind, representing the highest-decimal-exponent-range real kind type parameter available in the specific library build.More... | |
| integer, parameter | IKH = selected_int_kind(IRH) |
The scalar integer constant of intrinsic default kind, representing the highest range integer kind type parameter available in the specific library build.More... | |
| integer, parameter | CKH = selected_real_kind(CPH) |
The scalar integer constant of intrinsic default kind, representing the highest-precision complex kind type parameter available in the specific library build.More... | |
| integer, parameter | RKH = selected_real_kind(RPH) |
The scalar integer constant of intrinsic default kind, representing the highest-precision real kind type parameter available in the specific library build.More... | |
| integer, dimension(*), parameter | CKHR_VEC_RAW = [ selected_real_kind(merge(huge(1), CP5, CP5 < 1), r = CRH) , selected_real_kind(merge(huge(1), CP4, CP4 < 1), r = CRH) , selected_real_kind(merge(huge(1), CP3, CP3 < 1), r = CRH) , selected_real_kind(merge(huge(1), CP2, CP2 < 1), r = CRH) , selected_real_kind(merge(huge(1), CP1, CP1 < 1), r = CRH) ] |
| integer, dimension(*), parameter | CKHR_VEC = pack(CKHR_VEC_RAW, 0 <= CKHR_VEC_RAW) |
| integer, parameter | CKHR = CKHR_VEC(1) |
The scalar integer constant of intrinsic default kind, representing the highest-decimal-exponent-range complex kind type parameter available in the specific library build.More... | |
| integer, dimension(*), parameter | RKHR_VEC_RAW = [ selected_real_kind(merge(huge(1), RP5, RP5 < 1), r = RRH) , selected_real_kind(merge(huge(1), RP4, RP4 < 1), r = RRH) , selected_real_kind(merge(huge(1), RP3, RP3 < 1), r = RRH) , selected_real_kind(merge(huge(1), RP2, RP2 < 1), r = RRH) , selected_real_kind(merge(huge(1), RP1, RP1 < 1), r = RRH) ] |
| integer, dimension(*), parameter | RKHR_VEC = pack(RKHR_VEC_RAW, 0 <= RKHR_VEC_RAW) |
| integer, parameter | RKHR = RKHR_VEC(1) |
The scalar integer constant of intrinsic default kind, representing the highest-decimal-exponent-range real kind type parameter available in the specific library build.More... | |
| integer, parameter | IKW = selected_int_kind(1) |
The scalar integer constant of intrinsic default kind, representing the Worst-range integer kind supported by the processor.More... | |
| integer, parameter | CKW = selected_real_kind(1) |
The scalar integer constant of intrinsic default kind, representing the Worst-precision complex kind supported by the processor.More... | |
| integer, parameter | RKW = selected_real_kind(1) |
The scalar integer constant of intrinsic default kind, representing the Worst-precision real kind supported by the processor.More... | |
| integer, parameter | CKWR = selected_real_kind(r = 1) |
The scalar integer constant of intrinsic default kind, representing the Worst-decimal-exponent-range complex kind supported by the processor.More... | |
| integer, parameter | RKWR = selected_real_kind(r = 1) |
The scalar integer constant of intrinsic default kind, representing the Worst-decimal-exponent-range real kind supported by the processor.More... | |
| integer, dimension(*), parameter | integer_kinds_range = [ range(int(0, kind = integer_kinds(min(size(integer_kinds), 1)))) , range(int(0, kind = integer_kinds(min(size(integer_kinds), 2)))) , range(int(0, kind = integer_kinds(min(size(integer_kinds), 3)))) , range(int(0, kind = integer_kinds(min(size(integer_kinds), 4)))) , range(int(0, kind = integer_kinds(min(size(integer_kinds), 5)))) , range(int(0, kind = integer_kinds(min(size(integer_kinds), 6)))) , range(int(0, kind = integer_kinds(min(size(integer_kinds), 7)))) , range(int(0, kind = integer_kinds(min(size(integer_kinds), 8)))) , range(int(0, kind = integer_kinds(min(size(integer_kinds), 9)))) , range(int(0, kind = integer_kinds(min(size(integer_kinds), 10)))) , range(int(0, kind = integer_kinds(min(size(integer_kinds), 11)))) , range(int(0, kind = integer_kinds(min(size(integer_kinds), 12)))) , range(int(0, kind = integer_kinds(min(size(integer_kinds), 13)))) , range(int(0, kind = integer_kinds(min(size(integer_kinds), 14)))) , range(int(0, kind = integer_kinds(min(size(integer_kinds), 15)))) , range(int(0, kind = integer_kinds(min(size(integer_kinds), 16)))) , range(int(0, kind = integer_kinds(min(size(integer_kinds), 17)))) , range(int(0, kind = integer_kinds(min(size(integer_kinds), 18)))) , range(int(0, kind = integer_kinds(min(size(integer_kinds), 19)))) , range(int(0, kind = integer_kinds(min(size(integer_kinds), 20)))) , range(int(0, kind = integer_kinds(min(size(integer_kinds), 21)))) , range(int(0, kind = integer_kinds(min(size(integer_kinds), 22)))) , range(int(0, kind = integer_kinds(min(size(integer_kinds), 23)))) , range(int(0, kind = integer_kinds(min(size(integer_kinds), 24)))) , range(int(0, kind = integer_kinds(min(size(integer_kinds), 25)))) , range(int(0, kind = integer_kinds(min(size(integer_kinds), 26)))) , range(int(0, kind = integer_kinds(min(size(integer_kinds), 27)))) , range(int(0, kind = integer_kinds(min(size(integer_kinds), 28)))) , range(int(0, kind = integer_kinds(min(size(integer_kinds), 29)))) , range(int(0, kind = integer_kinds(min(size(integer_kinds), 30)))) , range(int(0, kind = integer_kinds(min(size(integer_kinds), 31)))) , range(int(0, kind = integer_kinds(min(size(integer_kinds), 32)))) , range(int(0, kind = integer_kinds(min(size(integer_kinds), 33)))) , range(int(0, kind = integer_kinds(min(size(integer_kinds), 34)))) , range(int(0, kind = integer_kinds(min(size(integer_kinds), 35)))) , range(int(0, kind = integer_kinds(min(size(integer_kinds), 36)))) , range(int(0, kind = integer_kinds(min(size(integer_kinds), 37)))) , range(int(0, kind = integer_kinds(min(size(integer_kinds), 38)))) , range(int(0, kind = integer_kinds(min(size(integer_kinds), 39)))) , range(int(0, kind = integer_kinds(min(size(integer_kinds), 40)))) , range(int(0, kind = integer_kinds(min(size(integer_kinds), 40)))) , range(int(0, kind = integer_kinds(min(size(integer_kinds), 41)))) , range(int(0, kind = integer_kinds(min(size(integer_kinds), 42)))) , range(int(0, kind = integer_kinds(min(size(integer_kinds), 43)))) , range(int(0, kind = integer_kinds(min(size(integer_kinds), 44)))) , range(int(0, kind = integer_kinds(min(size(integer_kinds), 45)))) , range(int(0, kind = integer_kinds(min(size(integer_kinds), 46)))) , range(int(0, kind = integer_kinds(min(size(integer_kinds), 47)))) , range(int(0, kind = integer_kinds(min(size(integer_kinds), 48)))) , range(int(0, kind = integer_kinds(min(size(integer_kinds), 49)))) , range(int(0, kind = integer_kinds(min(size(integer_kinds), 50)))) ] |
The vector of integer constants of intrinsic default kind, representing the vector of 50 possible integer ranges of the kinds provided in integer_kinds of the intrinsic Fortran module iso_fortran_env.More... | |
| integer, dimension(*), parameter | real_kinds_range = [ range(real(0, kind = real_kinds(min(size(real_kinds), 1)))) , range(real(0, kind = real_kinds(min(size(real_kinds), 2)))) , range(real(0, kind = real_kinds(min(size(real_kinds), 3)))) , range(real(0, kind = real_kinds(min(size(real_kinds), 4)))) , range(real(0, kind = real_kinds(min(size(real_kinds), 5)))) , range(real(0, kind = real_kinds(min(size(real_kinds), 6)))) , range(real(0, kind = real_kinds(min(size(real_kinds), 7)))) , range(real(0, kind = real_kinds(min(size(real_kinds), 8)))) , range(real(0, kind = real_kinds(min(size(real_kinds), 9)))) , range(real(0, kind = real_kinds(min(size(real_kinds), 10)))) , range(real(0, kind = real_kinds(min(size(real_kinds), 11)))) , range(real(0, kind = real_kinds(min(size(real_kinds), 12)))) , range(real(0, kind = real_kinds(min(size(real_kinds), 13)))) , range(real(0, kind = real_kinds(min(size(real_kinds), 14)))) , range(real(0, kind = real_kinds(min(size(real_kinds), 15)))) , range(real(0, kind = real_kinds(min(size(real_kinds), 16)))) , range(real(0, kind = real_kinds(min(size(real_kinds), 17)))) , range(real(0, kind = real_kinds(min(size(real_kinds), 18)))) , range(real(0, kind = real_kinds(min(size(real_kinds), 19)))) , range(real(0, kind = real_kinds(min(size(real_kinds), 20)))) , range(real(0, kind = real_kinds(min(size(real_kinds), 21)))) , range(real(0, kind = real_kinds(min(size(real_kinds), 22)))) , range(real(0, kind = real_kinds(min(size(real_kinds), 23)))) , range(real(0, kind = real_kinds(min(size(real_kinds), 24)))) , range(real(0, kind = real_kinds(min(size(real_kinds), 25)))) , range(real(0, kind = real_kinds(min(size(real_kinds), 26)))) , range(real(0, kind = real_kinds(min(size(real_kinds), 27)))) , range(real(0, kind = real_kinds(min(size(real_kinds), 28)))) , range(real(0, kind = real_kinds(min(size(real_kinds), 29)))) , range(real(0, kind = real_kinds(min(size(real_kinds), 30)))) , range(real(0, kind = real_kinds(min(size(real_kinds), 31)))) , range(real(0, kind = real_kinds(min(size(real_kinds), 32)))) , range(real(0, kind = real_kinds(min(size(real_kinds), 33)))) , range(real(0, kind = real_kinds(min(size(real_kinds), 34)))) , range(real(0, kind = real_kinds(min(size(real_kinds), 35)))) , range(real(0, kind = real_kinds(min(size(real_kinds), 36)))) , range(real(0, kind = real_kinds(min(size(real_kinds), 37)))) , range(real(0, kind = real_kinds(min(size(real_kinds), 38)))) , range(real(0, kind = real_kinds(min(size(real_kinds), 39)))) , range(real(0, kind = real_kinds(min(size(real_kinds), 40)))) , range(real(0, kind = real_kinds(min(size(real_kinds), 40)))) , range(real(0, kind = real_kinds(min(size(real_kinds), 41)))) , range(real(0, kind = real_kinds(min(size(real_kinds), 42)))) , range(real(0, kind = real_kinds(min(size(real_kinds), 43)))) , range(real(0, kind = real_kinds(min(size(real_kinds), 44)))) , range(real(0, kind = real_kinds(min(size(real_kinds), 45)))) , range(real(0, kind = real_kinds(min(size(real_kinds), 46)))) , range(real(0, kind = real_kinds(min(size(real_kinds), 47)))) , range(real(0, kind = real_kinds(min(size(real_kinds), 48)))) , range(real(0, kind = real_kinds(min(size(real_kinds), 49)))) , range(real(0, kind = real_kinds(min(size(real_kinds), 50)))) ] |
The vector of integer constants of intrinsic default kind, representing the vector of 50 possible real precisions of the kinds provided in real_kinds of the intrinsic Fortran module iso_fortran_env.More... | |
| integer, dimension(*), parameter | real_kinds_precision = [ precision(real(0, kind = real_kinds(min(size(real_kinds), 1)))) , precision(real(0, kind = real_kinds(min(size(real_kinds), 2)))) , precision(real(0, kind = real_kinds(min(size(real_kinds), 3)))) , precision(real(0, kind = real_kinds(min(size(real_kinds), 4)))) , precision(real(0, kind = real_kinds(min(size(real_kinds), 5)))) , precision(real(0, kind = real_kinds(min(size(real_kinds), 6)))) , precision(real(0, kind = real_kinds(min(size(real_kinds), 7)))) , precision(real(0, kind = real_kinds(min(size(real_kinds), 8)))) , precision(real(0, kind = real_kinds(min(size(real_kinds), 9)))) , precision(real(0, kind = real_kinds(min(size(real_kinds), 10)))) , precision(real(0, kind = real_kinds(min(size(real_kinds), 11)))) , precision(real(0, kind = real_kinds(min(size(real_kinds), 12)))) , precision(real(0, kind = real_kinds(min(size(real_kinds), 13)))) , precision(real(0, kind = real_kinds(min(size(real_kinds), 14)))) , precision(real(0, kind = real_kinds(min(size(real_kinds), 15)))) , precision(real(0, kind = real_kinds(min(size(real_kinds), 16)))) , precision(real(0, kind = real_kinds(min(size(real_kinds), 17)))) , precision(real(0, kind = real_kinds(min(size(real_kinds), 18)))) , precision(real(0, kind = real_kinds(min(size(real_kinds), 19)))) , precision(real(0, kind = real_kinds(min(size(real_kinds), 20)))) , precision(real(0, kind = real_kinds(min(size(real_kinds), 21)))) , precision(real(0, kind = real_kinds(min(size(real_kinds), 22)))) , precision(real(0, kind = real_kinds(min(size(real_kinds), 23)))) , precision(real(0, kind = real_kinds(min(size(real_kinds), 24)))) , precision(real(0, kind = real_kinds(min(size(real_kinds), 25)))) , precision(real(0, kind = real_kinds(min(size(real_kinds), 26)))) , precision(real(0, kind = real_kinds(min(size(real_kinds), 27)))) , precision(real(0, kind = real_kinds(min(size(real_kinds), 28)))) , precision(real(0, kind = real_kinds(min(size(real_kinds), 29)))) , precision(real(0, kind = real_kinds(min(size(real_kinds), 30)))) , precision(real(0, kind = real_kinds(min(size(real_kinds), 31)))) , precision(real(0, kind = real_kinds(min(size(real_kinds), 32)))) , precision(real(0, kind = real_kinds(min(size(real_kinds), 33)))) , precision(real(0, kind = real_kinds(min(size(real_kinds), 34)))) , precision(real(0, kind = real_kinds(min(size(real_kinds), 35)))) , precision(real(0, kind = real_kinds(min(size(real_kinds), 36)))) , precision(real(0, kind = real_kinds(min(size(real_kinds), 37)))) , precision(real(0, kind = real_kinds(min(size(real_kinds), 38)))) , precision(real(0, kind = real_kinds(min(size(real_kinds), 39)))) , precision(real(0, kind = real_kinds(min(size(real_kinds), 40)))) , precision(real(0, kind = real_kinds(min(size(real_kinds), 40)))) , precision(real(0, kind = real_kinds(min(size(real_kinds), 41)))) , precision(real(0, kind = real_kinds(min(size(real_kinds), 42)))) , precision(real(0, kind = real_kinds(min(size(real_kinds), 43)))) , precision(real(0, kind = real_kinds(min(size(real_kinds), 44)))) , precision(real(0, kind = real_kinds(min(size(real_kinds), 45)))) , precision(real(0, kind = real_kinds(min(size(real_kinds), 46)))) , precision(real(0, kind = real_kinds(min(size(real_kinds), 47)))) , precision(real(0, kind = real_kinds(min(size(real_kinds), 48)))) , precision(real(0, kind = real_kinds(min(size(real_kinds), 49)))) , precision(real(0, kind = real_kinds(min(size(real_kinds), 50)))) ] |
The vector of integer constants of intrinsic default kind, representing the vector of 50 possible real highest-range precisions of the kinds provided in real_kinds of the intrinsic Fortran module iso_fortran_env.More... | |
| integer, parameter | real_kinds_range_max = maxval(real_kinds_range, dim = 1) |
The scalar integer constant of intrinsic default kind, representing the highest-decimal-exponent-range of real types made available by the processor. More... | |
| integer, parameter | real_kinds_precision_max = maxval(real_kinds_precision, dim = 1) |
The scalar integer constant of intrinsic default kind, representing the highest-precision of real types made available by the processor. More... | |
| integer, parameter | real_kinds_precision_min = minval(real_kinds_precision, dim = 1) |
The scalar integer constant of intrinsic default kind, representing the lowest-precision of real types made available by the processor. More... | |
| real, parameter | real_kinds_precision_hop = real(real_kinds_precision_max - real_kinds_precision_min) / size(real_kinds_precision) |
The scalar real constant of intrinsic default kind, representing the step size between the highest and lowest-precision of real types made available by the processor. More... | |
| integer, dimension(*), parameter | real_kinds_prmax_kind = [ selected_real_kind(p = real_kinds_precision_max, r = real_kinds_range_max) , selected_real_kind(p = max(real_kinds_precision_min, nint(real_kinds_precision_max - real_kinds_precision_hop * 0)), r = real_kinds_range_max) , selected_real_kind(p = max(real_kinds_precision_min, nint(real_kinds_precision_max - real_kinds_precision_hop * 1)), r = real_kinds_range_max) , selected_real_kind(p = max(real_kinds_precision_min, nint(real_kinds_precision_max - real_kinds_precision_hop * 2)), r = real_kinds_range_max) , selected_real_kind(p = max(real_kinds_precision_min, nint(real_kinds_precision_max - real_kinds_precision_hop * 3)), r = real_kinds_range_max) , selected_real_kind(p = max(real_kinds_precision_min, nint(real_kinds_precision_max - real_kinds_precision_hop * 4)), r = real_kinds_range_max) , selected_real_kind(p = max(real_kinds_precision_min, nint(real_kinds_precision_max - real_kinds_precision_hop * 5)), r = real_kinds_range_max) , selected_real_kind(p = max(real_kinds_precision_min, nint(real_kinds_precision_max - real_kinds_precision_hop * 6)), r = real_kinds_range_max) , selected_real_kind(p = max(real_kinds_precision_min, nint(real_kinds_precision_max - real_kinds_precision_hop * 7)), r = real_kinds_range_max) , selected_real_kind(p = max(real_kinds_precision_min, nint(real_kinds_precision_max - real_kinds_precision_hop * 8)), r = real_kinds_range_max) , selected_real_kind(p = max(real_kinds_precision_min, nint(real_kinds_precision_max - real_kinds_precision_hop * 9)), r = real_kinds_range_max) , selected_real_kind(p = max(real_kinds_precision_min, nint(real_kinds_precision_max - real_kinds_precision_hop * 10)), r = real_kinds_range_max) , selected_real_kind(p = max(real_kinds_precision_min, nint(real_kinds_precision_max - real_kinds_precision_hop * 11)), r = real_kinds_range_max) , selected_real_kind(p = max(real_kinds_precision_min, nint(real_kinds_precision_max - real_kinds_precision_hop * 12)), r = real_kinds_range_max) , selected_real_kind(p = max(real_kinds_precision_min, nint(real_kinds_precision_max - real_kinds_precision_hop * 13)), r = real_kinds_range_max) , selected_real_kind(p = max(real_kinds_precision_min, nint(real_kinds_precision_max - real_kinds_precision_hop * 14)), r = real_kinds_range_max) , selected_real_kind(p = max(real_kinds_precision_min, nint(real_kinds_precision_max - real_kinds_precision_hop * 15)), r = real_kinds_range_max) , selected_real_kind(p = max(real_kinds_precision_min, nint(real_kinds_precision_max - real_kinds_precision_hop * 16)), r = real_kinds_range_max) , selected_real_kind(p = max(real_kinds_precision_min, nint(real_kinds_precision_max - real_kinds_precision_hop * 17)), r = real_kinds_range_max) , selected_real_kind(p = max(real_kinds_precision_min, nint(real_kinds_precision_max - real_kinds_precision_hop * 18)), r = real_kinds_range_max) , selected_real_kind(p = max(real_kinds_precision_min, nint(real_kinds_precision_max - real_kinds_precision_hop * 19)), r = real_kinds_range_max) , selected_real_kind(p = max(real_kinds_precision_min, nint(real_kinds_precision_max - real_kinds_precision_hop * 20)), r = real_kinds_range_max) , selected_real_kind(p = max(real_kinds_precision_min, nint(real_kinds_precision_max - real_kinds_precision_hop * 21)), r = real_kinds_range_max) , selected_real_kind(p = max(real_kinds_precision_min, nint(real_kinds_precision_max - real_kinds_precision_hop * 22)), r = real_kinds_range_max) , selected_real_kind(p = max(real_kinds_precision_min, nint(real_kinds_precision_max - real_kinds_precision_hop * 23)), r = real_kinds_range_max) , selected_real_kind(p = max(real_kinds_precision_min, nint(real_kinds_precision_max - real_kinds_precision_hop * 24)), r = real_kinds_range_max) , selected_real_kind(p = max(real_kinds_precision_min, nint(real_kinds_precision_max - real_kinds_precision_hop * 25)), r = real_kinds_range_max) , selected_real_kind(p = max(real_kinds_precision_min, nint(real_kinds_precision_max - real_kinds_precision_hop * 26)), r = real_kinds_range_max) , selected_real_kind(p = max(real_kinds_precision_min, nint(real_kinds_precision_max - real_kinds_precision_hop * 27)), r = real_kinds_range_max) , selected_real_kind(p = max(real_kinds_precision_min, nint(real_kinds_precision_max - real_kinds_precision_hop * 28)), r = real_kinds_range_max) , selected_real_kind(p = max(real_kinds_precision_min, nint(real_kinds_precision_max - real_kinds_precision_hop * 29)), r = real_kinds_range_max) , selected_real_kind(p = max(real_kinds_precision_min, nint(real_kinds_precision_max - real_kinds_precision_hop * 30)), r = real_kinds_range_max) , selected_real_kind(p = max(real_kinds_precision_min, nint(real_kinds_precision_max - real_kinds_precision_hop * 31)), r = real_kinds_range_max) , selected_real_kind(p = max(real_kinds_precision_min, nint(real_kinds_precision_max - real_kinds_precision_hop * 32)), r = real_kinds_range_max) , selected_real_kind(p = max(real_kinds_precision_min, nint(real_kinds_precision_max - real_kinds_precision_hop * 33)), r = real_kinds_range_max) , selected_real_kind(p = max(real_kinds_precision_min, nint(real_kinds_precision_max - real_kinds_precision_hop * 34)), r = real_kinds_range_max) , selected_real_kind(p = max(real_kinds_precision_min, nint(real_kinds_precision_max - real_kinds_precision_hop * 35)), r = real_kinds_range_max) , selected_real_kind(p = max(real_kinds_precision_min, nint(real_kinds_precision_max - real_kinds_precision_hop * 36)), r = real_kinds_range_max) , selected_real_kind(p = max(real_kinds_precision_min, nint(real_kinds_precision_max - real_kinds_precision_hop * 37)), r = real_kinds_range_max) , selected_real_kind(p = max(real_kinds_precision_min, nint(real_kinds_precision_max - real_kinds_precision_hop * 38)), r = real_kinds_range_max) , selected_real_kind(p = max(real_kinds_precision_min, nint(real_kinds_precision_max - real_kinds_precision_hop * 39)), r = real_kinds_range_max) , selected_real_kind(p = max(real_kinds_precision_min, nint(real_kinds_precision_max - real_kinds_precision_hop * 40)), r = real_kinds_range_max) , selected_real_kind(p = max(real_kinds_precision_min, nint(real_kinds_precision_max - real_kinds_precision_hop * 41)), r = real_kinds_range_max) , selected_real_kind(p = max(real_kinds_precision_min, nint(real_kinds_precision_max - real_kinds_precision_hop * 42)), r = real_kinds_range_max) , selected_real_kind(p = max(real_kinds_precision_min, nint(real_kinds_precision_max - real_kinds_precision_hop * 43)), r = real_kinds_range_max) , selected_real_kind(p = max(real_kinds_precision_min, nint(real_kinds_precision_max - real_kinds_precision_hop * 44)), r = real_kinds_range_max) , selected_real_kind(p = max(real_kinds_precision_min, nint(real_kinds_precision_max - real_kinds_precision_hop * 45)), r = real_kinds_range_max) , selected_real_kind(p = max(real_kinds_precision_min, nint(real_kinds_precision_max - real_kinds_precision_hop * 46)), r = real_kinds_range_max) , selected_real_kind(p = max(real_kinds_precision_min, nint(real_kinds_precision_max - real_kinds_precision_hop * 47)), r = real_kinds_range_max) , selected_real_kind(p = max(real_kinds_precision_min, nint(real_kinds_precision_max - real_kinds_precision_hop * 48)), r = real_kinds_range_max) , selected_real_kind(p = max(real_kinds_precision_min, nint(real_kinds_precision_max - real_kinds_precision_hop * 49)), r = real_kinds_range_max) , selected_real_kind(p = max(real_kinds_precision_min, nint(real_kinds_precision_max - real_kinds_precision_hop * 50)), r = real_kinds_range_max) , selected_real_kind(p = real_kinds_precision_min, r = real_kinds_range_max) ] |
The vector of integer constants of intrinsic default kind, representing the 50 possible real highest-range precisions of the kinds provided in real_kinds of the intrinsic Fortran module iso_fortran_env.More... | |
| integer, dimension(*), parameter | real_kinds_prmax_kind_avail = pack(real_kinds_prmax_kind, 0 <= real_kinds_prmax_kind) |
The vector of integer constants of intrinsic default kind, containing all maximum-range real kind type parameters corresponding to various precisions provided in real_kinds of the intrinsic Fortran module iso_fortran_env.More... | |
| integer, parameter | IKB = selected_int_kind(maxval(integer_kinds_range, dim = 1)) |
The scalar integer constant of intrinsic default kind, representing the Best-range integer kind supported by the processor.More... | |
| integer, parameter | CKB = selected_real_kind(maxval(real_kinds_precision, dim = 1)) |
The scalar integer constant of intrinsic default kind, representing the Best-precision complex kind supported by the processor.More... | |
| integer, parameter | RKB = selected_real_kind(maxval(real_kinds_precision, dim = 1)) |
The scalar integer constant of intrinsic default kind, representing the Best-precision real kind supported by the processor.More... | |
| integer, parameter | CKBR = real_kinds_prmax_kind_avail(1) |
The scalar integer constant of intrinsic default kind, representing the Best-decimal-exponent-range complex kind supported by the processor.More... | |
| integer, parameter | RKBR = real_kinds_prmax_kind_avail(1) |
The scalar integer constant of intrinsic default kind, representing the Best-decimal-exponent-range real kind supported by the processor.More... | |
This module defines the relevant Fortran kind type-parameters frequently used in the ParaMonte library for the two standard supported Fortran and C-Fortran Interoperation (CFI) modes.
The following list contains the default kind type parameters of interest to the end users of the ParaMonte library.
Note that the default kind type parameters may not necessarily correspond to the default kind type parameters used by the processor.
character kind type parameter used within the entire ParaMonte library. integer kind type parameter used within the entire ParaMonte library. logical kind type parameter used within the entire ParaMonte library. complex kind type parameter used within the entire ParaMonte library. real kind type parameter used within the entire ParaMonte library. integer kind type parameter used within the entire ParaMonte library.integer kind type parameter of the processor.complex kind type parameter used within the entire ParaMonte library.real kind type parameter of the processor.real kind type parameter used within the entire ParaMonte library.real kind type parameter of the processor.All of the above kind type parameters are guaranteed by the standard to exist and be supported.
integer kind type parameter used within the entire ParaMonte library.integer kind type parameter of the processor.complex kind type parameter used within the entire ParaMonte library.real kind type parameter of the processor.real kind type parameter used within the entire ParaMonte library.real kind type parameter of the processor.All of the above kind type parameters are guaranteed by the standard to exist and be supported.
integer kind type parameter used within the entire ParaMonte library.integer kind type parameter of the processor.complex kind type parameter used within the entire ParaMonte library.real kind type parameter of the processor.real kind type parameter used within the entire ParaMonte library.real kind type parameter of the processor.There is no guarantee of the existence of the above kind type parameters on all processors and compilers.
If a kind type parameter does not exist, the processor assigns a negative value to it.
This module specifies the kind type parameters that yield the lowest range intrinsic integer, complex, and real types that are supported by the specific ParaMonte library build as in the following:
integer kind type parameter supported by the ParaMonte library. complex kind type parameter supported by the ParaMonte library. real kind type parameter supported by the ParaMonte library. This module specifies the kind type parameters that yield the highest range intrinsic integer, complex, and real types that are supported by the specific ParaMonte library build as in the following:
integer kind type parameter supported by the ParaMonte library. complex kind type parameter supported by the ParaMonte library. real kind type parameter supported by the ParaMonte library. This module specifies the kind type parameters that yield the lowest precision intrinsic complex and and real types that are supported by the specific ParaMonte library build as in the following:
complex kind type parameter supported by the ParaMonte library. real kind type parameter supported by the ParaMonte library. This module specifies the kind type parameters that yield the highest precision intrinsic complex and and real types that are supported by the specific ParaMonte library build as in the following:
complex kind type parameter supported by the ParaMonte library. real kind type parameter supported by the ParaMonte library. This module specifies the kind type parameters that yield the worst range intrinsic integer, complex, and real types that supported by the processor (whether or not supported by the specific ParaMonte library build) as in the following:
integer kind type parameter supported by the processor. complex kind type parameter supported by the processor. real kind type parameter supported by the processor. This module specifies the kind type parameters that yield the highest range intrinsic integer, complex, and real types that supported by the processor (whether or not supported by the specific ParaMonte library build) as in the following:
integer kind type parameter supported by the processor. complex kind type parameter supported by the processor. real kind type parameter supported by the processor. This module specifies the kind type parameters that yield the worst precision intrinsic complex and and real types that supported by the processor (whether or not supported by the specific ParaMonte library build) as in the following:
complex kind type parameter supported by the processor. real kind type parameter supported by the processor. This module specifies the kind type parameters that yield the highest precision intrinsic complex and and real types that supported by the processor (whether or not supported by the specific ParaMonte library build) as in the following:
complex kind type parameter supported by the processor. real kind type parameter supported by the processor. The current implementation of the ParaMonte library can recognize up to five kind type parameters for each of the five intrinsic types in the latest Fortran programming language standard 2023:
character kinds are prefixed by SK standing for string kind type:
integer kinds are prefixed by IK standing for integer kind type:
logical kinds are prefixed by LK standing for logical kind type:
complex kinds are prefixed by CK standing for complex kind type:
real kinds are prefixed by CK standing for real kind type:
A few remarks are in order:
The precisions of the corresponding real and complex kind type parameters are represented by the letter R.
complex precisions are prefixed by CP standing for complex precision:
real kinds are prefixed by CK standing for real precision:
The precision of non-existing kind type parameters are set to zero.
The following representation model derived types also exist in this module:
integer containers of various kinds.complex and real containers of various kinds.
Final Remarks ⛓
If you believe this algorithm or its documentation can be improved, we appreciate your contribution and help to edit this page's documentation and source file on GitHub.
For details on the naming abbreviations, see this page.
For details on the naming conventions, see this page.
This software is distributed under the MIT license with additional terms outlined below.
This software is available to the public under a highly permissive license.
Help us justify its continued development and maintenance by acknowledging its benefit to society, distributing it, and contributing to it.
| integer, parameter pm_kind::CK = CK_DEF |
The default complex kind in the ParaMonte library: real64 in Fortran, c_double_complex in C-Fortran Interoperation mode.
Definition at line 542 of file pm_kind.F90.
Referenced by test_pm_statistics::test_getLogProbNormMP_CK_1(), and test_pm_statistics::test_getLogProbNormSP_CK_1().
| integer, parameter pm_kind::CK1 = real_kinds(CK1_ENABLED) |
Definition at line 464 of file pm_kind.F90.
| integer, parameter pm_kind::CK128 = CK128_DEF |
The complex kind for a 128-bits container.
Definition at line 549 of file pm_kind.F90.
| integer, parameter pm_kind::CK2 = real_kinds(CK2_ENABLED) |
Definition at line 453 of file pm_kind.F90.
| integer, parameter pm_kind::CK3 = real_kinds(CK3_ENABLED) |
Definition at line 442 of file pm_kind.F90.
| integer, parameter pm_kind::CK32 = CK32_DEF |
The complex kind for a 32-bits container.
Definition at line 551 of file pm_kind.F90.
| integer, parameter pm_kind::CK4 = real_kinds(CK4_ENABLED) |
Definition at line 431 of file pm_kind.F90.
| integer, parameter pm_kind::CK5 = real_kinds(CK5_ENABLED) |
Definition at line 420 of file pm_kind.F90.
| integer, parameter pm_kind::CK64 = CK64_DEF |
The complex kind for a 64-bits container.
Definition at line 550 of file pm_kind.F90.
| integer, parameter pm_kind::CK_DEF = kind(1.d0) |
Definition at line 314 of file pm_kind.F90.
| integer, dimension(*), parameter pm_kind::CKALL = pack([CK1, CK2, CK3, CK4, CK5], 0 < [CK1, CK2, CK3, CK4, CK5]) |
The integer vector containing all defined complex kinds within the ParaMonte library.
Note that this vector may only be a subset of the complex kinds supported by the processor.
Final Remarks ⛓
If you believe this algorithm or its documentation can be improved, we appreciate your contribution and help to edit this page's documentation and source file on GitHub.
For details on the naming abbreviations, see this page.
For details on the naming conventions, see this page.
This software is distributed under the MIT license with additional terms outlined below.
This software is available to the public under a highly permissive license.
Help us justify its continued development and maintenance by acknowledging its benefit to society, distributing it, and contributing to it.
Definition at line 624 of file pm_kind.F90.
| integer, parameter pm_kind::CKB = selected_real_kind(maxval(real_kinds_precision, dim = 1)) |
The scalar integer constant of intrinsic default kind, representing the Best-precision complex kind supported by the processor.
Although the value of CKH is the same as the value of CKB under normal (default) library builds, the two are not necessarily the same.
This situation occurs when the library is built for complex kind type parameters that exclude the highest-precision kind supported by the processor.
In other words, the highest-precision complex kind CKH supported by a specific library build is not necessarily the same as the best-precision complex kind CKB supported by the processor.
While all relevant routines of the library are guaranteed to support the highest-precision complex kind of the library CKH, the same does not hold for CKB when its value is different from CKH.
The current Fortran standard does not allow automatic selection of the highest-precision complex kind made available by the processor.
However, such a kind is essential for defining complex constants of highest-precision that can be later coerced to complex kinds of lower precision.
Final Remarks ⛓
If you believe this algorithm or its documentation can be improved, we appreciate your contribution and help to edit this page's documentation and source file on GitHub.
For details on the naming abbreviations, see this page.
For details on the naming conventions, see this page.
This software is distributed under the MIT license with additional terms outlined below.
This software is available to the public under a highly permissive license.
Help us justify its continued development and maintenance by acknowledging its benefit to society, distributing it, and contributing to it.
Definition at line 1352 of file pm_kind.F90.
| integer, parameter pm_kind::CKBR = real_kinds_prmax_kind_avail(1) |
The scalar integer constant of intrinsic default kind, representing the Best-decimal-exponent-range complex kind supported by the processor.
Although the value of CKHR is the same as the value of CKBR under normal (default) library builds, the two are not necessarily the same.
This situation occurs when the library is built for complex kind type parameters that exclude the highest-decimal-exponent-range kind supported by the processor.
In other words, the highest-decimal-exponent-range complex kind CKHR supported by a specific library build is not necessarily the same as the best-decimal-exponent-range complex kind CKBR supported by the processor.
While all relevant routines of the library are guaranteed to support the highest-decimal-exponent-range complex kind of the library CKHR, the same does not hold for CKBR when its value is different from CKHR.
The current Fortran standard does not allow automatic selection of the highest-decimal-exponent-range complex kind made available by the processor.
However, such a kind is essential for defining complex constants of highest-decimal-exponent-range that can be later coerced to complex kinds of lower decimal-exponent-range.
Final Remarks ⛓
If you believe this algorithm or its documentation can be improved, we appreciate your contribution and help to edit this page's documentation and source file on GitHub.
For details on the naming abbreviations, see this page.
For details on the naming conventions, see this page.
This software is distributed under the MIT license with additional terms outlined below.
This software is available to the public under a highly permissive license.
Help us justify its continued development and maintenance by acknowledging its benefit to society, distributing it, and contributing to it.
Definition at line 1389 of file pm_kind.F90.
| integer, parameter pm_kind::CKD = RKD |
The double precision complex kind in Fortran mode. On most platforms, this is a 64-bit real kind.
Definition at line 571 of file pm_kind.F90.
Referenced by pm_lapack::lapackGETRF::zgetrf().
| integer, parameter pm_kind::CKH = selected_real_kind(CPH) |
The scalar integer constant of intrinsic default kind, representing the highest-precision complex kind type parameter available in the specific library build.
Although the value of CKH is the same as the value of CKB under normal (default) library builds, the two are not necessarily the same.
This situation occurs when the library is built for complex kind type parameters that exclude the highest-precision kind supported by the processor.
In other words, the highest-precision complex kind CKH supported by a specific library build is not necessarily the same as the best-precision complex kind CKB supported by the processor.
While all relevant routines of the library are guaranteed to support the highest-precision complex kind of the library CKH, the same does not hold for CKB when its value is different from CKH.
Final Remarks ⛓
If you believe this algorithm or its documentation can be improved, we appreciate your contribution and help to edit this page's documentation and source file on GitHub.
For details on the naming abbreviations, see this page.
For details on the naming conventions, see this page.
This software is distributed under the MIT license with additional terms outlined below.
This software is available to the public under a highly permissive license.
Help us justify its continued development and maintenance by acknowledging its benefit to society, distributing it, and contributing to it.
Definition at line 843 of file pm_kind.F90.
| integer, parameter pm_kind::CKHR = CKHR_VEC(1) |
The scalar integer constant of intrinsic default kind, representing the highest-decimal-exponent-range complex kind type parameter available in the specific library build.
Although the value of CKHR is the same as the value of CKBR under normal (default) library builds, the two are not necessarily the same.
This situation occurs when the library is built for complex kind type parameters that exclude the highest-range kind supported by the processor.
In other words, the highest-range complex kind CKHR supported by a specific library build is not necessarily the same as the best-range complex kind CKBR supported by the processor.
While all relevant routines of the library are guaranteed to support the highest-range complex kind of the library CKHR, the same does not hold for CKBR when its value is different from CKHR.
Final Remarks ⛓
If you believe this algorithm or its documentation can be improved, we appreciate your contribution and help to edit this page's documentation and source file on GitHub.
For details on the naming abbreviations, see this page.
For details on the naming conventions, see this page.
This software is distributed under the MIT license with additional terms outlined below.
This software is available to the public under a highly permissive license.
Help us justify its continued development and maintenance by acknowledging its benefit to society, distributing it, and contributing to it.
Definition at line 880 of file pm_kind.F90.
| integer, dimension(*), parameter pm_kind::CKHR_VEC = pack(CKHR_VEC_RAW, 0 <= CKHR_VEC_RAW) |
Definition at line 865 of file pm_kind.F90.
| integer, dimension(*), parameter pm_kind::CKHR_VEC_RAW = [ selected_real_kind(merge(huge(1), CP5, CP5 < 1), r = CRH) , selected_real_kind(merge(huge(1), CP4, CP4 < 1), r = CRH) , selected_real_kind(merge(huge(1), CP3, CP3 < 1), r = CRH) , selected_real_kind(merge(huge(1), CP2, CP2 < 1), r = CRH) , selected_real_kind(merge(huge(1), CP1, CP1 < 1), r = CRH) ] |
Definition at line 860 of file pm_kind.F90.
| integer, parameter pm_kind::CKL = selected_real_kind(CPL) |
The scalar integer constant of intrinsic default kind, representing the lowest-precision complex kind type parameter available in the specific library build.
Although the value of CKL is the same as the value of CKW under normal (default) library builds, the two are not necessarily the same.
This situation occurs when the library is built for complex kind type parameters that exclude the lowest-precision kind supported by the processor.
In other words, the lowest-precision complex kind CKL supported by a specific library build is not necessarily the same as the worst-precision complex kind CKW supported by the processor.
While all relevant routines of the library are guaranteed to support the lowest-precision complex kind of the library CKL, the same does not hold for CKW when its value is different from CKL.
Final Remarks ⛓
If you believe this algorithm or its documentation can be improved, we appreciate your contribution and help to edit this page's documentation and source file on GitHub.
For details on the naming abbreviations, see this page.
For details on the naming conventions, see this page.
This software is distributed under the MIT license with additional terms outlined below.
This software is available to the public under a highly permissive license.
Help us justify its continued development and maintenance by acknowledging its benefit to society, distributing it, and contributing to it.
Definition at line 764 of file pm_kind.F90.
| integer, parameter pm_kind::CKLR = selected_real_kind(r = CRL) |
The scalar integer constant of intrinsic default kind, representing the highest-decimal-exponent-range complex kind type parameter available in the specific library build.
Although the value of CKLR is the same as the value of CKWR under normal (default) library builds, the two are not necessarily the same.
This situation occurs when the library is built for complex kind type parameters that exclude the highest-range kind supported by the processor.
In other words, the highest-range complex kind CKLR supported by a specific library build is not necessarily the same as the best-range complex kind CKWR supported by the processor.
While all relevant routines of the library are guaranteed to support the highest-range complex kind of the library CKLR, the same does not hold for CKWR when its value is different from CKLR.
Final Remarks ⛓
If you believe this algorithm or its documentation can be improved, we appreciate your contribution and help to edit this page's documentation and source file on GitHub.
For details on the naming abbreviations, see this page.
For details on the naming conventions, see this page.
This software is distributed under the MIT license with additional terms outlined below.
This software is available to the public under a highly permissive license.
Help us justify its continued development and maintenance by acknowledging its benefit to society, distributing it, and contributing to it.
Definition at line 794 of file pm_kind.F90.
| integer, parameter pm_kind::CKQ = RKQ |
The quadru-precision complex kind in Fortran mode. On most platforms, this is a 128-bit real kind.
Definition at line 572 of file pm_kind.F90.
| integer, parameter pm_kind::CKS = RKS |
The single-precision complex kind in Fortran mode. On most platforms, this is a 32-bit real kind.
Definition at line 570 of file pm_kind.F90.
Referenced by pm_lapack::lapackGETRF::cgetrf().
| integer, parameter pm_kind::CKW = selected_real_kind(1) |
The scalar integer constant of intrinsic default kind, representing the Worst-precision complex kind supported by the processor.
Although the value of CKL is the same as the value of CKW under normal (default) library builds, the two are not necessarily the same.
This situation occurs when the library is built for complex kind type parameters that exclude the lowest-precision kind supported by the processor.
In other words, the lowest-precision complex kind CKL supported by a specific library build is not necessarily the same as the worst-precision complex kind CKW supported by the processor.
While all relevant routines of the library are guaranteed to support the lowest-precision complex kind of the library CKL, the same does not hold for CKW when its value is different from CKL.
Final Remarks ⛓
If you believe this algorithm or its documentation can be improved, we appreciate your contribution and help to edit this page's documentation and source file on GitHub.
For details on the naming abbreviations, see this page.
For details on the naming conventions, see this page.
This software is distributed under the MIT license with additional terms outlined below.
This software is available to the public under a highly permissive license.
Help us justify its continued development and maintenance by acknowledging its benefit to society, distributing it, and contributing to it.
Definition at line 936 of file pm_kind.F90.
| integer, parameter pm_kind::CKWR = selected_real_kind(r = 1) |
The scalar integer constant of intrinsic default kind, representing the Worst-decimal-exponent-range complex kind supported by the processor.
Although the value of CKLR is the same as the value of CKWR under normal (default) library builds, the two are not necessarily the same.
This situation occurs when the library is built for complex kind type parameters that exclude the lowest-decimal-exponent-range kind supported by the processor.
In other words, the lowest-decimal-exponent-range complex kind CKLR supported by a specific library build is not necessarily the same as the worst-decimal-exponent-range complex kind CKWR supported by the processor.
While all relevant routines of the library are guaranteed to support the lowest-decimal-exponent-range complex kind of the library CKLR, the same does not hold for CKWR when its value is different from CKLR.
Final Remarks ⛓
If you believe this algorithm or its documentation can be improved, we appreciate your contribution and help to edit this page's documentation and source file on GitHub.
For details on the naming abbreviations, see this page.
For details on the naming conventions, see this page.
This software is distributed under the MIT license with additional terms outlined below.
This software is available to the public under a highly permissive license.
Help us justify its continued development and maintenance by acknowledging its benefit to society, distributing it, and contributing to it.
Definition at line 966 of file pm_kind.F90.
| integer, parameter pm_kind::CP1 = precision(0._CK1) |
Definition at line 465 of file pm_kind.F90.
| integer, parameter pm_kind::CP2 = precision(0._CK2) |
Definition at line 454 of file pm_kind.F90.
| integer, parameter pm_kind::CP3 = precision(0._CK3) |
Definition at line 443 of file pm_kind.F90.
| integer, parameter pm_kind::CP4 = precision(0._CK4) |
Definition at line 432 of file pm_kind.F90.
| integer, parameter pm_kind::CP5 = precision(0._CK5) |
Definition at line 421 of file pm_kind.F90.
| integer, parameter pm_kind::CPH = maxval([CP1, CP2, CP3, CP4, CP5], mask = 0 < [CP1, CP2, CP3, CP4, CP5]) |
The scalar integer constant of intrinsic default kind, representing the highest precision among all complex kinds supported by the specific library build.
Final Remarks ⛓
If you believe this algorithm or its documentation can be improved, we appreciate your contribution and help to edit this page's documentation and source file on GitHub.
For details on the naming abbreviations, see this page.
For details on the naming conventions, see this page.
This software is distributed under the MIT license with additional terms outlined below.
This software is available to the public under a highly permissive license.
Help us justify its continued development and maintenance by acknowledging its benefit to society, distributing it, and contributing to it.
Definition at line 676 of file pm_kind.F90.
| integer, parameter pm_kind::CPL = minval([CP1, CP2, CP3, CP4, CP5], mask = 0 < [CP1, CP2, CP3, CP4, CP5]) |
The scalar integer constant of intrinsic default kind, representing the lowest precision among all complex kinds supported by the specific library build.
Final Remarks ⛓
If you believe this algorithm or its documentation can be improved, we appreciate your contribution and help to edit this page's documentation and source file on GitHub.
For details on the naming abbreviations, see this page.
For details on the naming conventions, see this page.
This software is distributed under the MIT license with additional terms outlined below.
This software is available to the public under a highly permissive license.
Help us justify its continued development and maintenance by acknowledging its benefit to society, distributing it, and contributing to it.
Definition at line 667 of file pm_kind.F90.
| integer, parameter pm_kind::CR1 = range(0._CK1) |
Definition at line 466 of file pm_kind.F90.
| integer, parameter pm_kind::CR2 = range(0._CK2) |
Definition at line 455 of file pm_kind.F90.
| integer, parameter pm_kind::CR3 = range(0._CK3) |
Definition at line 444 of file pm_kind.F90.
| integer, parameter pm_kind::CR4 = range(0._CK4) |
Definition at line 433 of file pm_kind.F90.
| integer, parameter pm_kind::CR5 = range(0._CK5) |
Definition at line 422 of file pm_kind.F90.
| integer, parameter pm_kind::CRH = maxval([CR1, CR2, CR3, CR4, CR5], mask = 0 < [CR1, CR2, CR3, CR4, CR5]) |
The scalar integer constant of intrinsic default kind, representing the highest decimal exponent range among all complex kinds supported by the specific library build.
Final Remarks ⛓
If you believe this algorithm or its documentation can be improved, we appreciate your contribution and help to edit this page's documentation and source file on GitHub.
For details on the naming abbreviations, see this page.
For details on the naming conventions, see this page.
This software is distributed under the MIT license with additional terms outlined below.
This software is available to the public under a highly permissive license.
Help us justify its continued development and maintenance by acknowledging its benefit to society, distributing it, and contributing to it.
Definition at line 694 of file pm_kind.F90.
| integer, parameter pm_kind::CRL = minval([CR1, CR2, CR3, CR4, CR5], mask = 0 < [CR1, CR2, CR3, CR4, CR5]) |
The scalar integer constant of intrinsic default kind, representing the lowest decimal exponent range among all complex kinds supported by the specific library build.
Final Remarks ⛓
If you believe this algorithm or its documentation can be improved, we appreciate your contribution and help to edit this page's documentation and source file on GitHub.
For details on the naming abbreviations, see this page.
For details on the naming conventions, see this page.
This software is distributed under the MIT license with additional terms outlined below.
This software is available to the public under a highly permissive license.
Help us justify its continued development and maintenance by acknowledging its benefit to society, distributing it, and contributing to it.
Definition at line 685 of file pm_kind.F90.
| integer, parameter pm_kind::IK = IK_DEF |
The default integer kind in the ParaMonte library: int32 in Fortran, c_int32_t in C-Fortran Interoperation mode.
Definition at line 540 of file pm_kind.F90.
Referenced by pm_blas::blasGEMM::cgemm(), pm_blas::blasGEMV::cgemv(), pm_lapack::lapackGETRF::cgetrf(), pm_blas::blasHEMM::chemm(), pm_blas::blasHEMV::chemv(), pm_blas::blasHERK::cherk(), pm_blas::blasHPMV::chpmv(), pm_blas::blasSWAP::cswap(), pm_blas::blasSYMM::csymm(), pm_blas::blasSYRK::csyrk(), pm_blas::blasTRMM::ctrmm(), pm_blas::blasTRMV::ctrmv(), pm_blas::blasTRSM::ctrsm(), pm_blas::blasTRSV::ctrsv(), pm_blas::blasGEMM::dgemm(), pm_blas::blasGEMV::dgemv(), pm_lapack::lapackGETRF::dgetrf(), pm_blas::blasSPMV::dspmv(), pm_blas::blasSWAP::dswap(), pm_blas::blasSYMM::dsymm(), pm_blas::blasSYMV::dsymv(), pm_blas::blasSYRK::dsyrk(), pm_blas::blasTRMM::dtrmm(), pm_blas::blasTRMV::dtrmv(), pm_blas::blasTRSM::dtrsm(), pm_blas::blasTRSV::dtrsv(), pm_dateTime::getHour(), pm_arrayReplace::getReplaced_recurs_alloc(), test_pm_optimization::getTestFuncRosenBrock2D(), pm_timer::getTimeDAT(), pm_timer::getTimeMPI(), pm_timer::getTimeOMP(), pm_sampling::runParaDRAMF(), pm_blas::blasGEMM::sgemm(), pm_blas::blasGEMV::sgemv(), pm_lapack::lapackGETRF::sgetrf(), pm_blas::blasSPMV::sspmv(), pm_blas::blasSWAP::sswap(), pm_blas::blasSYMM::ssymm(), pm_blas::blasSYMV::ssymv(), pm_blas::blasSYRK::ssyrk(), pm_blas::blasTRMM::strmm(), pm_blas::blasTRMV::strmv(), pm_blas::blasTRSM::strsm(), pm_blas::blasTRSV::strsv(), test_pm_err::test_abort_1(), test_pm_err::test_abort_2(), test_pm_clustering::test_benchmark_1(), test_pm_optimization::test_BrentMinimum_type_1(), test_pm_optimization::test_BrentMinimum_type_2(), test_pm_statest::test_doKS1_1(), test_pm_statest::test_doSortedKS2_1(), test_pm_statest::test_doUniformKS1_1(), test_pm_distGeomCyclic::test_fitGeoCyclicLogPDF_1(), test_pm_matrixInv::test_genInvMat_1(), test_pm_distBand::test_getBandEbreak(), test_pm_distBand::test_getBandParam_1(), test_pm_distBand::test_getBandPhoton_1(), test_pm_distBand::test_getBandPhoton_2(), test_pm_distBand::test_getBandPhoton_3(), test_pm_distBand::test_getBandPhoton_4(), test_pm_distBand::test_getBandPhoton_5(), test_pm_distBand::test_getBandPhoton_6(), test_pm_distBand::test_getBandPhoton_7(), test_pm_distBand::test_getBandPhoton_8(), test_pm_distBand::test_getBandPhotonFromEnergyFluence_1(), test_pm_distBand::test_getBandPhotonFromEnergyFluence_2(), test_pm_distBand::test_getBandPhotonFromEnergyFluence_3(), test_pm_distBand::test_getBandPhotonFromEnergyFluence_4(), test_pm_distBand::test_getBandPhotonFromEnergyFluence_5(), test_pm_distBand::test_getBandPhotonFromEnergyFluence_6(), test_pm_distBand::test_getBandPhotonFromEnergyFluence_7(), test_pm_distBand::test_getBandPhotonFromEnergyFluence_8(), test_pm_statistics::test_getBetaCDF_RK1_1(), test_pm_statistics::test_getBetaCDF_RK2_1(), test_pm_statest::test_getCumDenComKS_1(), test_pm_matrix::test_getDet_1(), test_pm_knn::test_getDistSortedExpDiff_1(), test_pm_knn::test_getDistSortedExpDiff_2(), test_pm_knn::test_getDistSortedExpDiff_3(), test_pm_knn::test_getEucDistSq_1(), test_pm_distBand::test_getFluenceEnergy_1(), test_pm_distBand::test_getFluenceEnergy_2(), test_pm_distBand::test_getFluenceEnergy_3(), test_pm_distBand::test_getFluenceEnergy_4(), test_pm_distBand::test_getFluenceEnergy_6(), test_pm_distBand::test_getFluenceEnergy_7(), test_pm_distBand::test_getFluenceEnergy_8(), test_pm_knn::test_getHub_1(), test_pm_matrixInv::test_getInvChoLow_1(), test_pm_matrixInv::test_getInvLowFromChoLow_1(), test_pm_matrixInv::test_getInvPosDefMat_1(), test_pm_matrixInv::test_getInvPosDefMat_2(), test_pm_matrixInv::test_getInvPosDefMatSqrtDet_1(), test_pm_matrixInv::test_getInvPosDefMatSqrtDet_2(), test_pm_matrixInv::test_getInvPosDefMatSqrtDet_3(), test_pm_batse::test_getLog10PF53(), test_pm_statistics::test_getLogProbGeo_1(), test_pm_statistics::test_getLogProbGeoCyclic_1(), test_pm_statistics::test_getLogProbLognMP_1(), test_pm_statistics::test_getLogProbLognSP_1(), test_pm_statistics::test_getLogProbMixMVNMP_RK_1(), test_pm_statistics::test_getLogProbMixMVNSP_RK_1(), test_pm_statistics::test_getLogProbMixNormMP_RK_1(), test_pm_statistics::test_getLogProbMixNormSP_RK_1(), test_pm_statistics::test_getLogProbMVU_1(), test_pm_statistics::test_getLogProbNormMP_CK_1(), test_pm_statistics::test_getLogProbNormMP_RK_1(), test_pm_statistics::test_getLogProbNormSP_CK_1(), test_pm_statistics::test_getLogProbNormSP_RK_1(), test_pm_mathLogSumExp::test_getLogSumExp_CK_1(), test_pm_mathLogSumExp::test_getLogSumExp_CK_2(), test_pm_mathLogSumExp::test_getLogSumExp_RK_1(), test_pm_mathLogSumExp::test_getLogSumExp_RK_2(), test_pm_ellipsoid::test_getLogVolEll_2(), test_pm_matrix::test_getMatDetSqrtLogPosDefMat_1(), test_pm_matrix::test_getMatDetSqrtLogPosDefMat_2(), test_pm_matrix::test_getMatDetSqrtPosDefMat_1(), test_pm_matrix::test_getMatDetSqrtPosDefMat_2(), test_pm_matrixInv::test_getMatInvDet_1(), test_pm_matrixInv::test_getMatInvFromChoLow_1(), test_pm_matrixInv::test_getMatInvLow_1(), test_pm_knn::test_getPairDistSq_1(), test_pm_distBand::test_getPhotonFlux_1(), test_pm_distBand::test_getPhotonFlux_2(), test_pm_distBand::test_getPhotonFlux_3(), test_pm_distBand::test_getPhotonFlux_4(), test_pm_distBand::test_getPhotonFluxLower_1(), test_pm_sampleQuan::test_getQuantile_1(), test_pm_sampleQuan::test_getQuantile_2(), test_pm_statistics::test_getRandBeta_1(), test_pm_statistics::test_getRandCorMat_1(), test_pm_statistics::test_getRandCorMatRejection_1(), test_pm_statistics::test_getRandGammaIntShape_1(), test_pm_statistics::test_getRandIntLecuyer_1(), test_pm_statistics::test_getRandLogn_1(), test_pm_ellipsoid::test_getRandPointOnEllipsoid_1(), test_pm_statistics::test_getRandRealLecuyer_1(), test_pm_matrix::test_getRegresCoef_1(), test_pm_statest::test_getSampleDisparity_1(), test_pm_statest::test_getSampleDisparity_2(), test_pm_statistics::test_getUniformCDF_1(), test_pm_statistics::test_getUnifRandorm_1(), test_pm_arrayUnique::test_getUnique_D1_1(), test_pm_polation::test_InterpLinear_type_1(), test_pm_ellipsoid::test_isInsideEllipsoid_1(), test_pm_matrix::test_isPosDef_1(), test_pm_matrix::test_isPosDef_2(), test_pm_err::test_note_1(), test_pm_err::test_note_2(), test_pm_statest::test_performance_1(), test_pm_optimization::test_powellMin_type_1(), test_pm_clustering::test_runKmeans_1(), test_pm_clustering::test_runKmeans_2(), test_pm_clustering::test_runKmeans_3(), test_pm_clustering::test_runKmeans_4(), test_pm_mathCumPropExp::test_setCumPropExp_RK(), test_pm_clustering::test_setKmeans_1(), test_pm_clustering::test_setKmeans_2(), test_pm_clustering::test_setKmeans_3(), test_pm_clustering::test_setKmeans_4(), test_pm_matrix::test_sortPosDefMat_1(), test_pm_statest::test_Uniformity(), test_pm_err::test_warn_1(), test_pm_err::test_warn_2(), pm_blas::blasGEMM::zgemm(), pm_blas::blasGEMV::zgemv(), pm_lapack::lapackGETRF::zgetrf(), pm_blas::blasHEMM::zhemm(), pm_blas::blasHEMV::zhemv(), pm_blas::blasHERK::zherk(), pm_blas::blasHPMV::zhpmv(), pm_blas::blasSWAP::zswap(), pm_blas::blasSYMM::zsymm(), pm_blas::blasSYRK::zsyrk(), pm_blas::blasTRMM::ztrmm(), pm_blas::blasTRMV::ztrmv(), pm_blas::blasTRSM::ztrsm(), and pm_blas::blasTRSV::ztrsv().
| integer parameter pm_kind::IK1 = integer_kinds(IK1_ENABLED) |
Definition at line 382 of file pm_kind.F90.
| integer, parameter pm_kind::IK16 = IK16_DEF |
The integer kind for a 16-bits container.
Definition at line 547 of file pm_kind.F90.
| integer parameter pm_kind::IK2 = integer_kinds(IK2_ENABLED) |
Definition at line 375 of file pm_kind.F90.
| integer parameter pm_kind::IK3 = integer_kinds(IK3_ENABLED) |
Definition at line 368 of file pm_kind.F90.
| integer, parameter pm_kind::IK32 = IK32_DEF |
The integer kind for a 32-bits container.
Definition at line 546 of file pm_kind.F90.
| integer parameter pm_kind::IK4 = integer_kinds(IK4_ENABLED) |
Definition at line 361 of file pm_kind.F90.
| integer parameter pm_kind::IK5 = integer_kinds(IK5_ENABLED) |
Definition at line 354 of file pm_kind.F90.
| integer, parameter pm_kind::IK64 = IK64_DEF |
The integer kind for a 64-bits container.
Definition at line 545 of file pm_kind.F90.
| integer, parameter pm_kind::IK8 = IK8_DEF |
The integer kind for an 8-bits container.
Definition at line 548 of file pm_kind.F90.
| integer, parameter pm_kind::IK_DEF = kind(1) |
Definition at line 313 of file pm_kind.F90.
| integer, dimension(*), parameter pm_kind::IKALL = pack([IK1, IK2, IK3, IK4, IK5], 0 < [IK1, IK2, IK3, IK4, IK5]) |
The integer vector containing all defined integer kinds within the ParaMonte library.
Note that this vector may only be a subset of the integer kinds supported by the processor.
Final Remarks ⛓
If you believe this algorithm or its documentation can be improved, we appreciate your contribution and help to edit this page's documentation and source file on GitHub.
For details on the naming abbreviations, see this page.
For details on the naming conventions, see this page.
This software is distributed under the MIT license with additional terms outlined below.
This software is available to the public under a highly permissive license.
Help us justify its continued development and maintenance by acknowledging its benefit to society, distributing it, and contributing to it.
Definition at line 600 of file pm_kind.F90.
| integer, parameter pm_kind::IKB = selected_int_kind(maxval(integer_kinds_range, dim = 1)) |
The scalar integer constant of intrinsic default kind, representing the Best-range integer kind supported by the processor.
Although the value of IKH is the same as the value of IKB under normal (default) library builds, the two are not necessarily the same.
This situation occurs when the library is built for integer kind type parameters that exclude the highest-range kind supported by the processor.
In other words, the highest-range integer kind IKH supported by a specific library build is not necessarily the same as the best-range integer kind IKB supported by the processor.
While all relevant routines of the library are guaranteed to support the highest-range integer kind of the library IKH, the same does not hold for IKB when its value is different from IKH.
The current Fortran standard does not allow automatic selection of the highest-range integer kind made available by the processor.
However, such a kind is essential for defining integer constants of highest-range that can be later coerced to integer kinds of lower range.
Final Remarks ⛓
If you believe this algorithm or its documentation can be improved, we appreciate your contribution and help to edit this page's documentation and source file on GitHub.
For details on the naming abbreviations, see this page.
For details on the naming conventions, see this page.
This software is distributed under the MIT license with additional terms outlined below.
This software is available to the public under a highly permissive license.
Help us justify its continued development and maintenance by acknowledging its benefit to society, distributing it, and contributing to it.
Definition at line 1334 of file pm_kind.F90.
| integer, parameter pm_kind::IKD = selected_int_kind(18) |
The double precision integer kind in Fortran mode. On most platforms, this is a 64-bit integer kind.
Definition at line 564 of file pm_kind.F90.
| integer, parameter pm_kind::IKH = selected_int_kind(IRH) |
The scalar integer constant of intrinsic default kind, representing the highest range integer kind type parameter available in the specific library build.
Although the value of IKH is the same as the value of IKB under normal (default) library builds, the two are not necessarily the same.
This situation occurs when the library is built for real kind type parameters that exclude the highest range integer kind supported by the processor.
In other words, the highest-range integer kind IKH supported by a specific library build is not necessarily the same as the best-range integer kind IKB supported by the processor.
While all relevant routines of the library are guaranteed to support the highest-range integer kind of the library IKH, the same does not hold for IKB when its value is different from IKH.
Final Remarks ⛓
If you believe this algorithm or its documentation can be improved, we appreciate your contribution and help to edit this page's documentation and source file on GitHub.
For details on the naming abbreviations, see this page.
For details on the naming conventions, see this page.
This software is distributed under the MIT license with additional terms outlined below.
This software is available to the public under a highly permissive license.
Help us justify its continued development and maintenance by acknowledging its benefit to society, distributing it, and contributing to it.
Definition at line 828 of file pm_kind.F90.
| integer, parameter pm_kind::IKL = selected_int_kind(IRL) |
The scalar integer constant of intrinsic default kind, representing the lowest range integer kind type parameter available in the specific library build.
Although the value of IKL is the same as the value of IKW under normal (default) library builds, the two are not necessarily the same.
This situation occurs when the library is built for real kind type parameters that exclude the lowest range integer kind supported by the processor.
In other words, the lowest-range integer kind IKL supported by a specific library build is not necessarily the same as the worst-range integer kind IKW supported by the processor.
While all relevant routines of the library are guaranteed to support the lowest-range integer kind of the library IKL, the same does not hold for IKW when its value is different from IKL.
Final Remarks ⛓
If you believe this algorithm or its documentation can be improved, we appreciate your contribution and help to edit this page's documentation and source file on GitHub.
For details on the naming abbreviations, see this page.
For details on the naming conventions, see this page.
This software is distributed under the MIT license with additional terms outlined below.
This software is available to the public under a highly permissive license.
Help us justify its continued development and maintenance by acknowledging its benefit to society, distributing it, and contributing to it.
Definition at line 749 of file pm_kind.F90.
| integer, parameter pm_kind::IKQ = selected_int_kind(36) |
The quadru-precision integer kind in Fortran mode. On most platforms, this is a 128-bit integer kind. There is no guarantee of the existence of this kind (e.g., Intel does not support this).
Definition at line 565 of file pm_kind.F90.
| integer, parameter pm_kind::IKS = kind(1) |
The single-precision integer kind in Fortran mode. On most platforms, this is a 32-bit integer kind.
Definition at line 563 of file pm_kind.F90.
| integer, parameter pm_kind::IKW = selected_int_kind(1) |
The scalar integer constant of intrinsic default kind, representing the Worst-range integer kind supported by the processor.
Although the value of IKL is the same as the value of IKW under normal (default) library builds, the two are not necessarily the same.
This situation occurs when the library is built for integer kind type parameters that exclude the lowest-range kind supported by the processor.
In other words, the lowest-range integer kind IKL supported by a specific library build is not necessarily the same as the worst-range integer kind IKW supported by the processor.
While all relevant routines of the library are guaranteed to support the lowest-range integer kind of the library IKL, the same does not hold for IKW when its value is different from IKL.
Final Remarks ⛓
If you believe this algorithm or its documentation can be improved, we appreciate your contribution and help to edit this page's documentation and source file on GitHub.
For details on the naming abbreviations, see this page.
For details on the naming conventions, see this page.
This software is distributed under the MIT license with additional terms outlined below.
This software is available to the public under a highly permissive license.
Help us justify its continued development and maintenance by acknowledging its benefit to society, distributing it, and contributing to it.
Definition at line 921 of file pm_kind.F90.
| integer, dimension(*), parameter pm_kind::integer_kinds_range = [ range(int(0, kind = integer_kinds(min(size(integer_kinds), 1)))) , range(int(0, kind = integer_kinds(min(size(integer_kinds), 2)))) , range(int(0, kind = integer_kinds(min(size(integer_kinds), 3)))) , range(int(0, kind = integer_kinds(min(size(integer_kinds), 4)))) , range(int(0, kind = integer_kinds(min(size(integer_kinds), 5)))) , range(int(0, kind = integer_kinds(min(size(integer_kinds), 6)))) , range(int(0, kind = integer_kinds(min(size(integer_kinds), 7)))) , range(int(0, kind = integer_kinds(min(size(integer_kinds), 8)))) , range(int(0, kind = integer_kinds(min(size(integer_kinds), 9)))) , range(int(0, kind = integer_kinds(min(size(integer_kinds), 10)))) , range(int(0, kind = integer_kinds(min(size(integer_kinds), 11)))) , range(int(0, kind = integer_kinds(min(size(integer_kinds), 12)))) , range(int(0, kind = integer_kinds(min(size(integer_kinds), 13)))) , range(int(0, kind = integer_kinds(min(size(integer_kinds), 14)))) , range(int(0, kind = integer_kinds(min(size(integer_kinds), 15)))) , range(int(0, kind = integer_kinds(min(size(integer_kinds), 16)))) , range(int(0, kind = integer_kinds(min(size(integer_kinds), 17)))) , range(int(0, kind = integer_kinds(min(size(integer_kinds), 18)))) , range(int(0, kind = integer_kinds(min(size(integer_kinds), 19)))) , range(int(0, kind = integer_kinds(min(size(integer_kinds), 20)))) , range(int(0, kind = integer_kinds(min(size(integer_kinds), 21)))) , range(int(0, kind = integer_kinds(min(size(integer_kinds), 22)))) , range(int(0, kind = integer_kinds(min(size(integer_kinds), 23)))) , range(int(0, kind = integer_kinds(min(size(integer_kinds), 24)))) , range(int(0, kind = integer_kinds(min(size(integer_kinds), 25)))) , range(int(0, kind = integer_kinds(min(size(integer_kinds), 26)))) , range(int(0, kind = integer_kinds(min(size(integer_kinds), 27)))) , range(int(0, kind = integer_kinds(min(size(integer_kinds), 28)))) , range(int(0, kind = integer_kinds(min(size(integer_kinds), 29)))) , range(int(0, kind = integer_kinds(min(size(integer_kinds), 30)))) , range(int(0, kind = integer_kinds(min(size(integer_kinds), 31)))) , range(int(0, kind = integer_kinds(min(size(integer_kinds), 32)))) , range(int(0, kind = integer_kinds(min(size(integer_kinds), 33)))) , range(int(0, kind = integer_kinds(min(size(integer_kinds), 34)))) , range(int(0, kind = integer_kinds(min(size(integer_kinds), 35)))) , range(int(0, kind = integer_kinds(min(size(integer_kinds), 36)))) , range(int(0, kind = integer_kinds(min(size(integer_kinds), 37)))) , range(int(0, kind = integer_kinds(min(size(integer_kinds), 38)))) , range(int(0, kind = integer_kinds(min(size(integer_kinds), 39)))) , range(int(0, kind = integer_kinds(min(size(integer_kinds), 40)))) , range(int(0, kind = integer_kinds(min(size(integer_kinds), 40)))) , range(int(0, kind = integer_kinds(min(size(integer_kinds), 41)))) , range(int(0, kind = integer_kinds(min(size(integer_kinds), 42)))) , range(int(0, kind = integer_kinds(min(size(integer_kinds), 43)))) , range(int(0, kind = integer_kinds(min(size(integer_kinds), 44)))) , range(int(0, kind = integer_kinds(min(size(integer_kinds), 45)))) , range(int(0, kind = integer_kinds(min(size(integer_kinds), 46)))) , range(int(0, kind = integer_kinds(min(size(integer_kinds), 47)))) , range(int(0, kind = integer_kinds(min(size(integer_kinds), 48)))) , range(int(0, kind = integer_kinds(min(size(integer_kinds), 49)))) , range(int(0, kind = integer_kinds(min(size(integer_kinds), 50)))) ] |
The vector of integer constants of intrinsic default kind, representing the vector of 50 possible integer ranges of the kinds provided in integer_kinds of the intrinsic Fortran module iso_fortran_env.
This nightmare is necessary to identify the highest-range integer kind type parameter supported by the processor.
integer_kinds vector of the intrinsic Fortran module iso_fortran_env has a maximum length of 50.
Final Remarks ⛓
If you believe this algorithm or its documentation can be improved, we appreciate your contribution and help to edit this page's documentation and source file on GitHub.
For details on the naming abbreviations, see this page.
For details on the naming conventions, see this page.
This software is distributed under the MIT license with additional terms outlined below.
This software is available to the public under a highly permissive license.
Help us justify its continued development and maintenance by acknowledging its benefit to society, distributing it, and contributing to it.
Definition at line 1002 of file pm_kind.F90.
| integer parameter pm_kind::IR1 = range(0_IK1) |
Definition at line 383 of file pm_kind.F90.
| integer parameter pm_kind::IR2 = range(0_IK2) |
Definition at line 376 of file pm_kind.F90.
| integer parameter pm_kind::IR3 = range(0_IK3) |
Definition at line 369 of file pm_kind.F90.
| integer parameter pm_kind::IR4 = range(0_IK4) |
Definition at line 362 of file pm_kind.F90.
| integer parameter pm_kind::IR5 = range(0_IK5) |
Definition at line 355 of file pm_kind.F90.
| integer, parameter pm_kind::IRH = maxval([IR1, IR2, IR3, IR4, IR5], mask = 0 < [IR1, IR2, IR3, IR4, IR5]) |
The scalar integer constant of intrinsic default kind, representing the highest range among all integer kinds supported by the specific library build.
Final Remarks ⛓
If you believe this algorithm or its documentation can be improved, we appreciate your contribution and help to edit this page's documentation and source file on GitHub.
For details on the naming abbreviations, see this page.
For details on the naming conventions, see this page.
This software is distributed under the MIT license with additional terms outlined below.
This software is available to the public under a highly permissive license.
Help us justify its continued development and maintenance by acknowledging its benefit to society, distributing it, and contributing to it.
Definition at line 658 of file pm_kind.F90.
| integer, parameter pm_kind::IRL = minval([IR1, IR2, IR3, IR4, IR5], mask = 0 < [IR1, IR2, IR3, IR4, IR5]) |
The scalar integer constant of intrinsic default kind, representing the lowest range among all integer kinds supported by the specific library build.
Final Remarks ⛓
If you believe this algorithm or its documentation can be improved, we appreciate your contribution and help to edit this page's documentation and source file on GitHub.
For details on the naming abbreviations, see this page.
For details on the naming conventions, see this page.
This software is distributed under the MIT license with additional terms outlined below.
This software is available to the public under a highly permissive license.
Help us justify its continued development and maintenance by acknowledging its benefit to society, distributing it, and contributing to it.
Definition at line 649 of file pm_kind.F90.
| integer, parameter pm_kind::LK = LK_DEF |
The default logical kind in the ParaMonte library: kind(.true.) in Fortran, kind(.true.) in C-Fortran Interoperation mode.
Definition at line 541 of file pm_kind.F90.
Referenced by test_pm_polation::test_InterpLinear_type_1(), and test_pm_statest::test_Uniformity().
| integer parameter pm_kind::LK1 = logical_kinds(LK1_ENABLED) |
Definition at line 412 of file pm_kind.F90.
| integer parameter pm_kind::LK2 = logical_kinds(LK2_ENABLED) |
Definition at line 407 of file pm_kind.F90.
| integer parameter pm_kind::LK3 = logical_kinds(LK3_ENABLED) |
Definition at line 402 of file pm_kind.F90.
| integer parameter pm_kind::LK4 = logical_kinds(LK4_ENABLED) |
Definition at line 397 of file pm_kind.F90.
| integer parameter pm_kind::LK5 = logical_kinds(LK5_ENABLED) |
Definition at line 392 of file pm_kind.F90.
| integer, parameter pm_kind::LK_DEF = kind(.true.) |
Definition at line 319 of file pm_kind.F90.
| integer, dimension(*), parameter pm_kind::LKALL = pack([LK1, LK2, LK3, LK4, LK5], 0 < [LK1, LK2, LK3, LK4, LK5]) |
The integer vector containing all defined logical kinds within the ParaMonte library.
Note that this vector may only be a subset of the logical kinds supported by the processor.
Final Remarks ⛓
If you believe this algorithm or its documentation can be improved, we appreciate your contribution and help to edit this page's documentation and source file on GitHub.
For details on the naming abbreviations, see this page.
For details on the naming conventions, see this page.
This software is distributed under the MIT license with additional terms outlined below.
This software is available to the public under a highly permissive license.
Help us justify its continued development and maintenance by acknowledging its benefit to society, distributing it, and contributing to it.
Definition at line 612 of file pm_kind.F90.
| integer, dimension(*), parameter pm_kind::real_kinds_precision = [ precision(real(0, kind = real_kinds(min(size(real_kinds), 1)))) , precision(real(0, kind = real_kinds(min(size(real_kinds), 2)))) , precision(real(0, kind = real_kinds(min(size(real_kinds), 3)))) , precision(real(0, kind = real_kinds(min(size(real_kinds), 4)))) , precision(real(0, kind = real_kinds(min(size(real_kinds), 5)))) , precision(real(0, kind = real_kinds(min(size(real_kinds), 6)))) , precision(real(0, kind = real_kinds(min(size(real_kinds), 7)))) , precision(real(0, kind = real_kinds(min(size(real_kinds), 8)))) , precision(real(0, kind = real_kinds(min(size(real_kinds), 9)))) , precision(real(0, kind = real_kinds(min(size(real_kinds), 10)))) , precision(real(0, kind = real_kinds(min(size(real_kinds), 11)))) , precision(real(0, kind = real_kinds(min(size(real_kinds), 12)))) , precision(real(0, kind = real_kinds(min(size(real_kinds), 13)))) , precision(real(0, kind = real_kinds(min(size(real_kinds), 14)))) , precision(real(0, kind = real_kinds(min(size(real_kinds), 15)))) , precision(real(0, kind = real_kinds(min(size(real_kinds), 16)))) , precision(real(0, kind = real_kinds(min(size(real_kinds), 17)))) , precision(real(0, kind = real_kinds(min(size(real_kinds), 18)))) , precision(real(0, kind = real_kinds(min(size(real_kinds), 19)))) , precision(real(0, kind = real_kinds(min(size(real_kinds), 20)))) , precision(real(0, kind = real_kinds(min(size(real_kinds), 21)))) , precision(real(0, kind = real_kinds(min(size(real_kinds), 22)))) , precision(real(0, kind = real_kinds(min(size(real_kinds), 23)))) , precision(real(0, kind = real_kinds(min(size(real_kinds), 24)))) , precision(real(0, kind = real_kinds(min(size(real_kinds), 25)))) , precision(real(0, kind = real_kinds(min(size(real_kinds), 26)))) , precision(real(0, kind = real_kinds(min(size(real_kinds), 27)))) , precision(real(0, kind = real_kinds(min(size(real_kinds), 28)))) , precision(real(0, kind = real_kinds(min(size(real_kinds), 29)))) , precision(real(0, kind = real_kinds(min(size(real_kinds), 30)))) , precision(real(0, kind = real_kinds(min(size(real_kinds), 31)))) , precision(real(0, kind = real_kinds(min(size(real_kinds), 32)))) , precision(real(0, kind = real_kinds(min(size(real_kinds), 33)))) , precision(real(0, kind = real_kinds(min(size(real_kinds), 34)))) , precision(real(0, kind = real_kinds(min(size(real_kinds), 35)))) , precision(real(0, kind = real_kinds(min(size(real_kinds), 36)))) , precision(real(0, kind = real_kinds(min(size(real_kinds), 37)))) , precision(real(0, kind = real_kinds(min(size(real_kinds), 38)))) , precision(real(0, kind = real_kinds(min(size(real_kinds), 39)))) , precision(real(0, kind = real_kinds(min(size(real_kinds), 40)))) , precision(real(0, kind = real_kinds(min(size(real_kinds), 40)))) , precision(real(0, kind = real_kinds(min(size(real_kinds), 41)))) , precision(real(0, kind = real_kinds(min(size(real_kinds), 42)))) , precision(real(0, kind = real_kinds(min(size(real_kinds), 43)))) , precision(real(0, kind = real_kinds(min(size(real_kinds), 44)))) , precision(real(0, kind = real_kinds(min(size(real_kinds), 45)))) , precision(real(0, kind = real_kinds(min(size(real_kinds), 46)))) , precision(real(0, kind = real_kinds(min(size(real_kinds), 47)))) , precision(real(0, kind = real_kinds(min(size(real_kinds), 48)))) , precision(real(0, kind = real_kinds(min(size(real_kinds), 49)))) , precision(real(0, kind = real_kinds(min(size(real_kinds), 50)))) ] |
The vector of integer constants of intrinsic default kind, representing the vector of 50 possible real highest-range precisions of the kinds provided in real_kinds of the intrinsic Fortran module iso_fortran_env.
This nightmare is necessary to identify the highest-range highest-precision real kind type parameter supported by the processor.
real_kinds vector of the intrinsic Fortran module iso_fortran_env has a maximum length of 50.
Final Remarks ⛓
If you believe this algorithm or its documentation can be improved, we appreciate your contribution and help to edit this page's documentation and source file on GitHub.
For details on the naming abbreviations, see this page.
For details on the naming conventions, see this page.
This software is distributed under the MIT license with additional terms outlined below.
This software is available to the public under a highly permissive license.
Help us justify its continued development and maintenance by acknowledging its benefit to society, distributing it, and contributing to it.
Definition at line 1138 of file pm_kind.F90.
| real, parameter pm_kind::real_kinds_precision_hop = real(real_kinds_precision_max - real_kinds_precision_min) / size(real_kinds_precision) |
The scalar real constant of intrinsic default kind, representing the step size between the highest and lowest-precision of real types made available by the processor.
This constant is internally used within the module to identify the highest-range highest-precision real kind type parameter.
Final Remarks ⛓
If you believe this algorithm or its documentation can be improved, we appreciate your contribution and help to edit this page's documentation and source file on GitHub.
For details on the naming abbreviations, see this page.
For details on the naming conventions, see this page.
This software is distributed under the MIT license with additional terms outlined below.
This software is available to the public under a highly permissive license.
Help us justify its continued development and maintenance by acknowledging its benefit to society, distributing it, and contributing to it.
Definition at line 1232 of file pm_kind.F90.
| integer, parameter pm_kind::real_kinds_precision_max = maxval(real_kinds_precision, dim = 1) |
The scalar integer constant of intrinsic default kind, representing the highest-precision of real types made available by the processor.
Final Remarks ⛓
If you believe this algorithm or its documentation can be improved, we appreciate your contribution and help to edit this page's documentation and source file on GitHub.
For details on the naming abbreviations, see this page.
For details on the naming conventions, see this page.
This software is distributed under the MIT license with additional terms outlined below.
This software is available to the public under a highly permissive license.
Help us justify its continued development and maintenance by acknowledging its benefit to society, distributing it, and contributing to it.
Definition at line 1209 of file pm_kind.F90.
| integer, parameter pm_kind::real_kinds_precision_min = minval(real_kinds_precision, dim = 1) |
The scalar integer constant of intrinsic default kind, representing the lowest-precision of real types made available by the processor.
Final Remarks ⛓
If you believe this algorithm or its documentation can be improved, we appreciate your contribution and help to edit this page's documentation and source file on GitHub.
For details on the naming abbreviations, see this page.
For details on the naming conventions, see this page.
This software is distributed under the MIT license with additional terms outlined below.
This software is available to the public under a highly permissive license.
Help us justify its continued development and maintenance by acknowledging its benefit to society, distributing it, and contributing to it.
Definition at line 1219 of file pm_kind.F90.
The vector of integer constants of intrinsic default kind, representing the 50 possible real highest-range precisions of the kinds provided in real_kinds of the intrinsic Fortran module iso_fortran_env.
This nightmare is necessary to identify the highest-range highest-precision real kind type parameter supported by the processor.
real_kinds vector of the intrinsic Fortran module iso_fortran_env has a maximum length of 50.
Final Remarks ⛓
If you believe this algorithm or its documentation can be improved, we appreciate your contribution and help to edit this page's documentation and source file on GitHub.
For details on the naming abbreviations, see this page.
For details on the naming conventions, see this page.
This software is distributed under the MIT license with additional terms outlined below.
This software is available to the public under a highly permissive license.
Help us justify its continued development and maintenance by acknowledging its benefit to society, distributing it, and contributing to it.
Definition at line 1249 of file pm_kind.F90.
| integer, dimension(*), parameter pm_kind::real_kinds_prmax_kind_avail = pack(real_kinds_prmax_kind, 0 <= real_kinds_prmax_kind) |
The vector of integer constants of intrinsic default kind, containing all maximum-range real kind type parameters corresponding to various precisions provided in real_kinds of the intrinsic Fortran module iso_fortran_env.
This nightmare is necessary to identify the highest-range highest-precision real kind type parameter supported by the processor.
Final Remarks ⛓
If you believe this algorithm or its documentation can be improved, we appreciate your contribution and help to edit this page's documentation and source file on GitHub.
For details on the naming abbreviations, see this page.
For details on the naming conventions, see this page.
This software is distributed under the MIT license with additional terms outlined below.
This software is available to the public under a highly permissive license.
Help us justify its continued development and maintenance by acknowledging its benefit to society, distributing it, and contributing to it.
Definition at line 1315 of file pm_kind.F90.
| integer, dimension(*), parameter pm_kind::real_kinds_range = [ range(real(0, kind = real_kinds(min(size(real_kinds), 1)))) , range(real(0, kind = real_kinds(min(size(real_kinds), 2)))) , range(real(0, kind = real_kinds(min(size(real_kinds), 3)))) , range(real(0, kind = real_kinds(min(size(real_kinds), 4)))) , range(real(0, kind = real_kinds(min(size(real_kinds), 5)))) , range(real(0, kind = real_kinds(min(size(real_kinds), 6)))) , range(real(0, kind = real_kinds(min(size(real_kinds), 7)))) , range(real(0, kind = real_kinds(min(size(real_kinds), 8)))) , range(real(0, kind = real_kinds(min(size(real_kinds), 9)))) , range(real(0, kind = real_kinds(min(size(real_kinds), 10)))) , range(real(0, kind = real_kinds(min(size(real_kinds), 11)))) , range(real(0, kind = real_kinds(min(size(real_kinds), 12)))) , range(real(0, kind = real_kinds(min(size(real_kinds), 13)))) , range(real(0, kind = real_kinds(min(size(real_kinds), 14)))) , range(real(0, kind = real_kinds(min(size(real_kinds), 15)))) , range(real(0, kind = real_kinds(min(size(real_kinds), 16)))) , range(real(0, kind = real_kinds(min(size(real_kinds), 17)))) , range(real(0, kind = real_kinds(min(size(real_kinds), 18)))) , range(real(0, kind = real_kinds(min(size(real_kinds), 19)))) , range(real(0, kind = real_kinds(min(size(real_kinds), 20)))) , range(real(0, kind = real_kinds(min(size(real_kinds), 21)))) , range(real(0, kind = real_kinds(min(size(real_kinds), 22)))) , range(real(0, kind = real_kinds(min(size(real_kinds), 23)))) , range(real(0, kind = real_kinds(min(size(real_kinds), 24)))) , range(real(0, kind = real_kinds(min(size(real_kinds), 25)))) , range(real(0, kind = real_kinds(min(size(real_kinds), 26)))) , range(real(0, kind = real_kinds(min(size(real_kinds), 27)))) , range(real(0, kind = real_kinds(min(size(real_kinds), 28)))) , range(real(0, kind = real_kinds(min(size(real_kinds), 29)))) , range(real(0, kind = real_kinds(min(size(real_kinds), 30)))) , range(real(0, kind = real_kinds(min(size(real_kinds), 31)))) , range(real(0, kind = real_kinds(min(size(real_kinds), 32)))) , range(real(0, kind = real_kinds(min(size(real_kinds), 33)))) , range(real(0, kind = real_kinds(min(size(real_kinds), 34)))) , range(real(0, kind = real_kinds(min(size(real_kinds), 35)))) , range(real(0, kind = real_kinds(min(size(real_kinds), 36)))) , range(real(0, kind = real_kinds(min(size(real_kinds), 37)))) , range(real(0, kind = real_kinds(min(size(real_kinds), 38)))) , range(real(0, kind = real_kinds(min(size(real_kinds), 39)))) , range(real(0, kind = real_kinds(min(size(real_kinds), 40)))) , range(real(0, kind = real_kinds(min(size(real_kinds), 40)))) , range(real(0, kind = real_kinds(min(size(real_kinds), 41)))) , range(real(0, kind = real_kinds(min(size(real_kinds), 42)))) , range(real(0, kind = real_kinds(min(size(real_kinds), 43)))) , range(real(0, kind = real_kinds(min(size(real_kinds), 44)))) , range(real(0, kind = real_kinds(min(size(real_kinds), 45)))) , range(real(0, kind = real_kinds(min(size(real_kinds), 46)))) , range(real(0, kind = real_kinds(min(size(real_kinds), 47)))) , range(real(0, kind = real_kinds(min(size(real_kinds), 48)))) , range(real(0, kind = real_kinds(min(size(real_kinds), 49)))) , range(real(0, kind = real_kinds(min(size(real_kinds), 50)))) ] |
The vector of integer constants of intrinsic default kind, representing the vector of 50 possible real precisions of the kinds provided in real_kinds of the intrinsic Fortran module iso_fortran_env.
This nightmare is necessary to identify the highest-range/precision real kind type parameter supported by the processor.
real_kinds vector of the intrinsic Fortran module iso_fortran_env has a maximum length of 50.
Final Remarks ⛓
If you believe this algorithm or its documentation can be improved, we appreciate your contribution and help to edit this page's documentation and source file on GitHub.
For details on the naming abbreviations, see this page.
For details on the naming conventions, see this page.
This software is distributed under the MIT license with additional terms outlined below.
This software is available to the public under a highly permissive license.
Help us justify its continued development and maintenance by acknowledging its benefit to society, distributing it, and contributing to it.
Definition at line 1070 of file pm_kind.F90.
| integer, parameter pm_kind::real_kinds_range_max = maxval(real_kinds_range, dim = 1) |
The scalar integer constant of intrinsic default kind, representing the highest-decimal-exponent-range of real types made available by the processor.
Final Remarks ⛓
If you believe this algorithm or its documentation can be improved, we appreciate your contribution and help to edit this page's documentation and source file on GitHub.
For details on the naming abbreviations, see this page.
For details on the naming conventions, see this page.
This software is distributed under the MIT license with additional terms outlined below.
This software is available to the public under a highly permissive license.
Help us justify its continued development and maintenance by acknowledging its benefit to society, distributing it, and contributing to it.
Definition at line 1199 of file pm_kind.F90.
| integer, parameter pm_kind::RK = RK_DEF |
The default real kind in the ParaMonte library: real64 in Fortran, c_double in C-Fortran Interoperation mode.
Definition at line 543 of file pm_kind.F90.
Referenced by pm_mathCumPropExp::getCumPropExp_RK(), test_pm_optimization::getTestFuncRosenBrock1D(), test_pm_optimization::getTestFuncRosenBrock2D(), test_pm_clustering::test_benchmark_1(), test_pm_optimization::test_BrentMinimum_type_1(), test_pm_optimization::test_BrentMinimum_type_2(), test_pm_sys::test_copyFile_1(), test_pm_statest::test_doKS1_1(), test_pm_statest::test_doSortedKS2_1(), test_pm_statest::test_doUniformKS1_1(), test_pm_distGeomCyclic::test_fitGeoCyclicLogPDF_1(), test_pm_matrixInv::test_genInvMat_1(), test_pm_distBand::test_getBandEbreak(), test_pm_distBand::test_getBandParam_1(), test_pm_distBand::test_getBandPhoton_1(), test_pm_distBand::test_getBandPhoton_2(), test_pm_distBand::test_getBandPhoton_3(), test_pm_distBand::test_getBandPhoton_4(), test_pm_distBand::test_getBandPhoton_5(), test_pm_distBand::test_getBandPhoton_6(), test_pm_distBand::test_getBandPhoton_7(), test_pm_distBand::test_getBandPhoton_8(), test_pm_distBand::test_getBandPhotonFromEnergyFluence_1(), test_pm_distBand::test_getBandPhotonFromEnergyFluence_2(), test_pm_distBand::test_getBandPhotonFromEnergyFluence_3(), test_pm_distBand::test_getBandPhotonFromEnergyFluence_4(), test_pm_distBand::test_getBandPhotonFromEnergyFluence_5(), test_pm_distBand::test_getBandPhotonFromEnergyFluence_6(), test_pm_distBand::test_getBandPhotonFromEnergyFluence_7(), test_pm_distBand::test_getBandPhotonFromEnergyFluence_8(), test_pm_statistics::test_getBetaCDF_RK1_1(), test_pm_statistics::test_getBetaCDF_RK2_1(), test_pm_statest::test_getCumDenComKS_1(), test_pm_matrix::test_getDet_1(), test_pm_knn::test_getDistSortedExpDiff_1(), test_pm_knn::test_getDistSortedExpDiff_2(), test_pm_knn::test_getDistSortedExpDiff_3(), test_pm_knn::test_getEucDistSq_1(), test_pm_distBand::test_getFluenceEnergy_1(), test_pm_distBand::test_getFluenceEnergy_2(), test_pm_distBand::test_getFluenceEnergy_3(), test_pm_distBand::test_getFluenceEnergy_4(), test_pm_distBand::test_getFluenceEnergy_6(), test_pm_distBand::test_getFluenceEnergy_7(), test_pm_distBand::test_getFluenceEnergy_8(), test_pm_knn::test_getHub_1(), test_pm_matrixInv::test_getInvChoLow_1(), test_pm_matrixInv::test_getInvLowFromChoLow_1(), test_pm_matrixInv::test_getInvPosDefMat_1(), test_pm_matrixInv::test_getInvPosDefMat_2(), test_pm_matrixInv::test_getInvPosDefMatSqrtDet_1(), test_pm_matrixInv::test_getInvPosDefMatSqrtDet_2(), test_pm_matrixInv::test_getInvPosDefMatSqrtDet_3(), test_pm_batse::test_getLog10PF53(), test_pm_batse::test_getLogEffectivePeakPhotonFlux_RK1_1(), test_pm_batse::test_getLogEffectivePeakPhotonFlux_RK2_1(), test_pm_batse::test_getLogEffectivePeakPhotonFluxCorrection_RK1_1(), test_pm_batse::test_getLogEffectivePeakPhotonFluxCorrection_RK2_1(), test_pm_statistics::test_getLogProbGeo_1(), test_pm_statistics::test_getLogProbGeoCyclic_1(), test_pm_statistics::test_getLogProbLognMP_1(), test_pm_statistics::test_getLogProbLognSP_1(), test_pm_statistics::test_getLogProbMixMVNMP_RK_1(), test_pm_statistics::test_getLogProbMixMVNSP_RK_1(), test_pm_statistics::test_getLogProbMixNormMP_RK_1(), test_pm_statistics::test_getLogProbMixNormSP_RK_1(), test_pm_statistics::test_getLogProbMVU_1(), test_pm_statistics::test_getLogProbNormMP_CK_1(), test_pm_statistics::test_getLogProbNormMP_RK_1(), test_pm_statistics::test_getLogProbNormSP_CK_1(), test_pm_statistics::test_getLogProbNormSP_RK_1(), test_pm_mathLogSumExp::test_getLogSumExp_CK_1(), test_pm_mathLogSumExp::test_getLogSumExp_CK_2(), test_pm_mathLogSumExp::test_getLogSumExp_RK_1(), test_pm_mathLogSumExp::test_getLogSumExp_RK_2(), test_pm_ellipsoid::test_getLogVolEll_2(), test_pm_matrix::test_getMatDetSqrtLogPosDefMat_1(), test_pm_matrix::test_getMatDetSqrtLogPosDefMat_2(), test_pm_matrix::test_getMatDetSqrtPosDefMat_1(), test_pm_matrix::test_getMatDetSqrtPosDefMat_2(), test_pm_matrixInv::test_getMatInvDet_1(), test_pm_matrixInv::test_getMatInvFromChoLow_1(), test_pm_matrixInv::test_getMatInvLow_1(), test_pm_knn::test_getPairDistSq_1(), test_pm_distBand::test_getPhotonFlux_1(), test_pm_distBand::test_getPhotonFlux_2(), test_pm_distBand::test_getPhotonFlux_3(), test_pm_distBand::test_getPhotonFlux_4(), test_pm_distBand::test_getPhotonFluxLower_1(), test_pm_sampleQuan::test_getQuantile_1(), test_pm_sampleQuan::test_getQuantile_2(), test_pm_statistics::test_getRandBeta_1(), test_pm_statistics::test_getRandCorMat_1(), test_pm_statistics::test_getRandCorMatRejection_1(), test_pm_statistics::test_getRandGammaIntShape_1(), test_pm_statistics::test_getRandIntLecuyer_1(), test_pm_statistics::test_getRandLogn_1(), test_pm_ellipsoid::test_getRandPointOnEllipsoid_1(), test_pm_statistics::test_getRandRealLecuyer_1(), test_pm_matrix::test_getRegresCoef_1(), test_pm_statest::test_getSampleDisparity_1(), test_pm_statest::test_getSampleDisparity_2(), test_pm_statistics::test_getUniformCDF_1(), test_pm_statistics::test_getUnifRandorm_1(), test_pm_arrayUnique::test_getUnique_D1_1(), test_pm_polation::test_InterpLinear_type_1(), test_pm_sysPath::test_isDir_1(), test_pm_ellipsoid::test_isInsideEllipsoid_1(), test_pm_matrix::test_isPosDef_1(), test_pm_matrix::test_isPosDef_2(), test_pm_sysPath::test_mkdir_1(), test_pm_sysPath::test_mkdir_2(), test_pm_sysPath::test_mkdir_3(), test_pm_statest::test_performance_1(), test_pm_optimization::test_powellMin_type_1(), test_pm_sys::test_removeFile_2(), test_pm_clustering::test_runKmeans_1(), test_pm_clustering::test_runKmeans_2(), test_pm_clustering::test_runKmeans_3(), test_pm_clustering::test_runKmeans_4(), test_pm_mathCumPropExp::test_setCumPropExp_RK(), test_pm_clustering::test_setKmeans_1(), test_pm_clustering::test_setKmeans_2(), test_pm_clustering::test_setKmeans_3(), test_pm_clustering::test_setKmeans_4(), test_pm_sys::test_sleep_1(), test_pm_matrix::test_sortPosDefMat_1(), and test_pm_statest::test_Uniformity().
| integer, parameter pm_kind::RK1 = real_kinds(RK1_ENABLED) |
Definition at line 522 of file pm_kind.F90.
Referenced by test_pm_statistics::test_getBetaCDF_RK1_1(), test_pm_batse::test_getLogEffectivePeakPhotonFlux_RK1_1(), and test_pm_batse::test_getLogEffectivePeakPhotonFluxCorrection_RK1_1().
| integer, parameter pm_kind::RK128 = RK128_DEF |
The real kind for a 128-bits container.
Definition at line 552 of file pm_kind.F90.
| integer, parameter pm_kind::RK2 = real_kinds(RK2_ENABLED) |
Definition at line 511 of file pm_kind.F90.
Referenced by bench(), test_pm_statistics::test_getBetaCDF_RK2_1(), test_pm_batse::test_getLogEffectivePeakPhotonFlux_RK2_1(), and test_pm_batse::test_getLogEffectivePeakPhotonFluxCorrection_RK2_1().
| integer, parameter pm_kind::RK3 = real_kinds(RK3_ENABLED) |
Definition at line 500 of file pm_kind.F90.
| integer, parameter pm_kind::RK32 = RK32_DEF |
The real kind for a 32-bits container.
Definition at line 554 of file pm_kind.F90.
| integer, parameter pm_kind::RK4 = real_kinds(RK4_ENABLED) |
Definition at line 489 of file pm_kind.F90.
| integer, parameter pm_kind::RK5 = real_kinds(RK5_ENABLED) |
Definition at line 478 of file pm_kind.F90.
| integer, parameter pm_kind::RK64 = RK64_DEF |
The real kind for a 64-bits container.
Definition at line 553 of file pm_kind.F90.
| integer, parameter pm_kind::RK_DEF = kind(1.d0) |
Definition at line 315 of file pm_kind.F90.
| integer, dimension(*), parameter pm_kind::RKALL = pack([RK1, RK2, RK3, RK4, RK5], 0 < [RK1, RK2, RK3, RK4, RK5]) |
The integer vector containing all defined real kinds within the ParaMonte library.
Note that this vector may only be a subset of the real kinds supported by the processor.
Final Remarks ⛓
If you believe this algorithm or its documentation can be improved, we appreciate your contribution and help to edit this page's documentation and source file on GitHub.
For details on the naming abbreviations, see this page.
For details on the naming conventions, see this page.
This software is distributed under the MIT license with additional terms outlined below.
This software is available to the public under a highly permissive license.
Help us justify its continued development and maintenance by acknowledging its benefit to society, distributing it, and contributing to it.
Definition at line 636 of file pm_kind.F90.
Referenced by pm_sampling::runParaDRAMF().
| integer, parameter pm_kind::RKB = selected_real_kind(maxval(real_kinds_precision, dim = 1)) |
The scalar integer constant of intrinsic default kind, representing the Best-precision real kind supported by the processor.
Although the value of RKH is the same as the value of RKB under normal (default) library builds, the two are not necessarily the same.
This situation occurs when the library is built for real kind type parameters that exclude the highest-precision kind supported by the processor.
In other words, the highest-precision real kind RKH supported by a specific library build is not necessarily the same as the best-precision real kind RKB supported by the processor.
While all relevant routines of the library are guaranteed to support the highest-precision real kind of the library RKH, the same does not hold for RKB when its value is different from RKH.
The current Fortran standard does not allow automatic selection of the highest-precision real kind made available by the processor.
However, such a kind is essential for defining real constants of highest-precision that can be later coerced to real kinds of lower precision.
Final Remarks ⛓
If you believe this algorithm or its documentation can be improved, we appreciate your contribution and help to edit this page's documentation and source file on GitHub.
For details on the naming abbreviations, see this page.
For details on the naming conventions, see this page.
This software is distributed under the MIT license with additional terms outlined below.
This software is available to the public under a highly permissive license.
Help us justify its continued development and maintenance by acknowledging its benefit to society, distributing it, and contributing to it.
Definition at line 1371 of file pm_kind.F90.
| integer, parameter pm_kind::RKBR = real_kinds_prmax_kind_avail(1) |
The scalar integer constant of intrinsic default kind, representing the Best-decimal-exponent-range real kind supported by the processor.
Although the value of RKHR is the same as the value of RKBR under normal (default) library builds, the two are not necessarily the same.
This situation occurs when the library is built for real kind type parameters that exclude the highest-decimal-exponent-range kind supported by the processor.
In other words, the highest-decimal-exponent-range real kind RKHR supported by a specific library build is not necessarily the same as the best-decimal-exponent-range real kind RKBR supported by the processor.
While all relevant routines of the library are guaranteed to support the highest-decimal-exponent-range real kind of the library RKHR, the same does not hold for RKBR when its value is different from RKHR.
The current Fortran standard does not allow automatic selection of the highest-decimal-exponent-range real kind made available by the processor.
However, such a kind is essential for defining real constants of highest-decimal-exponent-range that can be later coerced to real kinds of lower decimal-exponent-range.
Final Remarks ⛓
If you believe this algorithm or its documentation can be improved, we appreciate your contribution and help to edit this page's documentation and source file on GitHub.
For details on the naming abbreviations, see this page.
For details on the naming conventions, see this page.
This software is distributed under the MIT license with additional terms outlined below.
This software is available to the public under a highly permissive license.
Help us justify its continued development and maintenance by acknowledging its benefit to society, distributing it, and contributing to it.
Definition at line 1407 of file pm_kind.F90.
| integer, parameter pm_kind::RKD = kind(1.d0) |
The double precision real kind in Fortran mode. On most platforms, this is an 64-bit real kind.
Definition at line 568 of file pm_kind.F90.
Referenced by pm_blas::blasGEMM::dgemm(), pm_blas::blasGEMV::dgemv(), pm_lapack::lapackGETRF::dgetrf(), pm_blas::blasSPMV::dspmv(), pm_blas::blasSWAP::dswap(), pm_blas::blasSYMM::dsymm(), pm_blas::blasSYMV::dsymv(), pm_blas::blasSYRK::dsyrk(), pm_blas::blasTRMM::dtrmm(), pm_blas::blasTRMV::dtrmv(), pm_blas::blasTRSM::dtrsm(), pm_blas::blasTRSV::dtrsv(), pm_timer::getTime_proc::getTime_proc(), pm_timer::getTimeDAT(), pm_timer::getTimeMPI(), pm_timer::getTimeOMP(), pm_timer::setIdle(), pm_timer::setIdle_proc::setIdle_proc(), pm_timer::setIdleCPU(), pm_timer::setIdleDAT(), pm_timer::setIdleMPI(), pm_timer::setIdleOMP(), pm_timer::setIdleSYS(), pm_blas::blasGEMM::zgemm(), pm_blas::blasGEMV::zgemv(), pm_blas::blasHEMM::zhemm(), pm_blas::blasHEMV::zhemv(), pm_blas::blasHERK::zherk(), pm_blas::blasHPMV::zhpmv(), pm_blas::blasSWAP::zswap(), pm_blas::blasSYMM::zsymm(), pm_blas::blasSYRK::zsyrk(), pm_blas::blasTRMM::ztrmm(), pm_blas::blasTRMV::ztrmv(), pm_blas::blasTRSM::ztrsm(), and pm_blas::blasTRSV::ztrsv().
| integer, parameter pm_kind::RKH = selected_real_kind(RPH) |
The scalar integer constant of intrinsic default kind, representing the highest-precision real kind type parameter available in the specific library build.
Although the value of RKH is the same as the value of RKB under normal (default) library builds, the two are not necessarily the same.
This situation occurs when the library is built for real kind type parameters that exclude the highest-precision kind supported by the processor.
In other words, the highest-precision real kind RKH supported by a specific library build is not necessarily the same as the best-precision real kind RKB supported by the processor.
While all relevant routines of the library are guaranteed to support the highest-precision real kind of the library RKH, the same does not hold for RKB when its value is different from RKH.
Final Remarks ⛓
If you believe this algorithm or its documentation can be improved, we appreciate your contribution and help to edit this page's documentation and source file on GitHub.
For details on the naming abbreviations, see this page.
For details on the naming conventions, see this page.
This software is distributed under the MIT license with additional terms outlined below.
This software is available to the public under a highly permissive license.
Help us justify its continued development and maintenance by acknowledging its benefit to society, distributing it, and contributing to it.
Definition at line 858 of file pm_kind.F90.
Referenced by pm_mathRootTest::func1_type::get(), pm_quadTest::int1_type::get(), pm_quadTest::int2_type::get(), pm_quadTest::int3_type::get(), pm_quadTest::int4_type::get(), pm_quadTest::int5_type::get(), pm_quadTest::int6_type::get(), pm_quadTest::int7_type::get(), pm_quadTest::int8_type::get(), pm_quadTest::int9_type::get(), pm_quadTest::intCauchy1_type::get(), pm_quadTest::intCauchy2_type::get(), pm_quadTest::intDoncker1_type::get(), pm_quadTest::intDoncker2_type::get(), pm_quadTest::intGamUpp_type::get(), pm_quadTest::intGenExpGammaPDF_type::get(), pm_quadTest::intLogNormPDF_type::get(), pm_quadTest::intNormPDF_type::get(), pm_quadTest::intPentaGammaInf_type::get(), pm_quadTest::intSinCos_type::get(), pm_mathRootTest::get_proc::get_proc(), and pm_quadTest::get_proc::get_proc().
| integer, parameter pm_kind::RKHR = RKHR_VEC(1) |
The scalar integer constant of intrinsic default kind, representing the highest-decimal-exponent-range real kind type parameter available in the specific library build.
Although the value of RKHR is the same as the value of RKBR under normal (default) library builds, the two are not necessarily the same.
This situation occurs when the library is built for real kind type parameters that exclude the highest-range kind supported by the processor.
In other words, the highest-range real kind RKHR supported by a specific library build is not necessarily the same as the best-range real kind RKBR supported by the processor.
While all relevant routines of the library are guaranteed to support the highest-range real kind of the library RKHR, the same does not hold for RKBR when its value is different from RKHR.
Final Remarks ⛓
If you believe this algorithm or its documentation can be improved, we appreciate your contribution and help to edit this page's documentation and source file on GitHub.
For details on the naming abbreviations, see this page.
For details on the naming conventions, see this page.
This software is distributed under the MIT license with additional terms outlined below.
This software is available to the public under a highly permissive license.
Help us justify its continued development and maintenance by acknowledging its benefit to society, distributing it, and contributing to it.
Definition at line 902 of file pm_kind.F90.
| integer, dimension(*), parameter pm_kind::RKHR_VEC = pack(RKHR_VEC_RAW, 0 <= RKHR_VEC_RAW) |
Definition at line 887 of file pm_kind.F90.
| integer, dimension(*), parameter pm_kind::RKHR_VEC_RAW = [ selected_real_kind(merge(huge(1), RP5, RP5 < 1), r = RRH) , selected_real_kind(merge(huge(1), RP4, RP4 < 1), r = RRH) , selected_real_kind(merge(huge(1), RP3, RP3 < 1), r = RRH) , selected_real_kind(merge(huge(1), RP2, RP2 < 1), r = RRH) , selected_real_kind(merge(huge(1), RP1, RP1 < 1), r = RRH) ] |
Definition at line 882 of file pm_kind.F90.
| integer, parameter pm_kind::RKL = selected_real_kind(RPL) |
The scalar integer constant of intrinsic default kind, representing the lowest-precision real kind type parameter available in the specific library build.
Although the value of RKL is the same as the value of RKW under normal (default) library builds, the two are not necessarily the same.
This situation occurs when the library is built for real kind type parameters that exclude the lowest-precision kind supported by the processor.
In other words, the lowest-precision real kind RKL supported by a specific library build is not necessarily the same as the worst-precision real kind RKW supported by the processor.
While all relevant routines of the library are guaranteed to support the lowest-precision real kind of the library RKL, the same does not hold for RKW when its value is different from RKL.
Final Remarks ⛓
If you believe this algorithm or its documentation can be improved, we appreciate your contribution and help to edit this page's documentation and source file on GitHub.
For details on the naming abbreviations, see this page.
For details on the naming conventions, see this page.
This software is distributed under the MIT license with additional terms outlined below.
This software is available to the public under a highly permissive license.
Help us justify its continued development and maintenance by acknowledging its benefit to society, distributing it, and contributing to it.
Definition at line 779 of file pm_kind.F90.
| integer, parameter pm_kind::RKLR = selected_real_kind(r = RRL) |
The scalar integer constant of intrinsic default kind, representing the highest-decimal-exponent-range real kind type parameter available in the specific library build.
Although the value of RKLR is the same as the value of RKWR under normal (default) library builds, the two are not necessarily the same.
This situation occurs when the library is built for real kind type parameters that exclude the highest-range kind supported by the processor.
In other words, the highest-range real kind RKLR supported by a specific library build is not necessarily the same as the best-range real kind RKWR supported by the processor.
While all relevant routines of the library are guaranteed to support the highest-range real kind of the library RKLR, the same does not hold for RKWR when its value is different from RKLR.
Final Remarks ⛓
If you believe this algorithm or its documentation can be improved, we appreciate your contribution and help to edit this page's documentation and source file on GitHub.
For details on the naming abbreviations, see this page.
For details on the naming conventions, see this page.
This software is distributed under the MIT license with additional terms outlined below.
This software is available to the public under a highly permissive license.
Help us justify its continued development and maintenance by acknowledging its benefit to society, distributing it, and contributing to it.
Definition at line 809 of file pm_kind.F90.
| integer, parameter pm_kind::RKQ = selected_real_kind(2*precision(1._RKD)) |
The quadru-precision real kind in Fortran mode. On most platforms, this is an 128-bit real kind.
Definition at line 569 of file pm_kind.F90.
| integer, parameter pm_kind::RKS = kind(1.) |
The single-precision real kind in Fortran mode. On most platforms, this is an 32-bit real kind.
Definition at line 567 of file pm_kind.F90.
Referenced by pm_blas::blasGEMM::cgemm(), pm_blas::blasGEMV::cgemv(), pm_blas::blasHEMM::chemm(), pm_blas::blasHEMV::chemv(), pm_blas::blasHERK::cherk(), pm_blas::blasHPMV::chpmv(), pm_blas::blasSWAP::cswap(), pm_blas::blasSYMM::csymm(), pm_blas::blasSYRK::csyrk(), pm_blas::blasTRMM::ctrmm(), pm_blas::blasTRMV::ctrmv(), pm_blas::blasTRSM::ctrsm(), pm_blas::blasTRSV::ctrsv(), pm_blas::blasGEMM::sgemm(), pm_blas::blasGEMV::sgemv(), pm_lapack::lapackGETRF::sgetrf(), pm_blas::blasSPMV::sspmv(), pm_blas::blasSWAP::sswap(), pm_blas::blasSYMM::ssymm(), pm_blas::blasSYMV::ssymv(), pm_blas::blasSYRK::ssyrk(), pm_blas::blasTRMM::strmm(), pm_blas::blasTRMV::strmv(), pm_blas::blasTRSM::strsm(), pm_blas::blasTRSV::strsv(), and test_pm_statest::test_Uniformity().
| integer, parameter pm_kind::RKW = selected_real_kind(1) |
The scalar integer constant of intrinsic default kind, representing the Worst-precision real kind supported by the processor.
Although the value of RKL is the same as the value of RKW under normal (default) library builds, the two are not necessarily the same.
This situation occurs when the library is built for real kind type parameters that exclude the lowest-precision kind supported by the processor.
In other words, the lowest-precision real kind RKL supported by a specific library build is not necessarily the same as the worst-precision real kind RKW supported by the processor.
While all relevant routines of the library are guaranteed to support the lowest-precision real kind of the library RKL, the same does not hold for RKW when its value is different from RKL.
Final Remarks ⛓
If you believe this algorithm or its documentation can be improved, we appreciate your contribution and help to edit this page's documentation and source file on GitHub.
For details on the naming abbreviations, see this page.
For details on the naming conventions, see this page.
This software is distributed under the MIT license with additional terms outlined below.
This software is available to the public under a highly permissive license.
Help us justify its continued development and maintenance by acknowledging its benefit to society, distributing it, and contributing to it.
Definition at line 951 of file pm_kind.F90.
| integer, parameter pm_kind::RKWR = selected_real_kind(r = 1) |
The scalar integer constant of intrinsic default kind, representing the Worst-decimal-exponent-range real kind supported by the processor.
Although the value of RKLR is the same as the value of RKWR under normal (default) library builds, the two are not necessarily the same.
This situation occurs when the library is built for real kind type parameters that exclude the lowest-decimal-exponent-range kind supported by the processor.
In other words, the lowest-decimal-exponent-range real kind RKLR supported by a specific library build is not necessarily the same as the worst-decimal-exponent-range real kind RKWR supported by the processor.
While all relevant routines of the library are guaranteed to support the lowest-decimal-exponent-range real kind of the library RKLR, the same does not hold for RKWR when its value is different from RKLR.
Final Remarks ⛓
If you believe this algorithm or its documentation can be improved, we appreciate your contribution and help to edit this page's documentation and source file on GitHub.
For details on the naming abbreviations, see this page.
For details on the naming conventions, see this page.
This software is distributed under the MIT license with additional terms outlined below.
This software is available to the public under a highly permissive license.
Help us justify its continued development and maintenance by acknowledging its benefit to society, distributing it, and contributing to it.
Definition at line 981 of file pm_kind.F90.
| integer, parameter pm_kind::RP1 = precision(0._RK1) |
Definition at line 523 of file pm_kind.F90.
| integer, parameter pm_kind::RP2 = precision(0._RK2) |
Definition at line 512 of file pm_kind.F90.
| integer, parameter pm_kind::RP3 = precision(0._RK3) |
Definition at line 501 of file pm_kind.F90.
| integer, parameter pm_kind::RP4 = precision(0._RK4) |
Definition at line 490 of file pm_kind.F90.
| integer, parameter pm_kind::RP5 = precision(0._RK5) |
Definition at line 479 of file pm_kind.F90.
| integer, parameter pm_kind::RPH = maxval([RP1, RP2, RP3, RP4, RP5], mask = 0 < [RP1, RP2, RP3, RP4, RP5]) |
The scalar integer constant of intrinsic default kind, representing the highest precision among all real kinds supported by the specific library build.
Final Remarks ⛓
If you believe this algorithm or its documentation can be improved, we appreciate your contribution and help to edit this page's documentation and source file on GitHub.
For details on the naming abbreviations, see this page.
For details on the naming conventions, see this page.
This software is distributed under the MIT license with additional terms outlined below.
This software is available to the public under a highly permissive license.
Help us justify its continued development and maintenance by acknowledging its benefit to society, distributing it, and contributing to it.
Definition at line 712 of file pm_kind.F90.
| integer, parameter pm_kind::RPL = minval([RP1, RP2, RP3, RP4, RP5], mask = 0 < [RP1, RP2, RP3, RP4, RP5]) |
The scalar integer constant of intrinsic default kind, representing the lowest precision among all real kinds supported by the specific library build.
Final Remarks ⛓
If you believe this algorithm or its documentation can be improved, we appreciate your contribution and help to edit this page's documentation and source file on GitHub.
For details on the naming abbreviations, see this page.
For details on the naming conventions, see this page.
This software is distributed under the MIT license with additional terms outlined below.
This software is available to the public under a highly permissive license.
Help us justify its continued development and maintenance by acknowledging its benefit to society, distributing it, and contributing to it.
Definition at line 703 of file pm_kind.F90.
| integer, parameter pm_kind::RR1 = range(0._RK1) |
Definition at line 524 of file pm_kind.F90.
| integer, parameter pm_kind::RR2 = range(0._RK2) |
Definition at line 513 of file pm_kind.F90.
| integer, parameter pm_kind::RR3 = range(0._RK3) |
Definition at line 502 of file pm_kind.F90.
| integer, parameter pm_kind::RR4 = range(0._RK4) |
Definition at line 491 of file pm_kind.F90.
| integer, parameter pm_kind::RR5 = range(0._RK5) |
Definition at line 480 of file pm_kind.F90.
| integer, parameter pm_kind::RRH = maxval([RR1, RR2, RR3, RR4, RR5], mask = 0 < [RR1, RR2, RR3, RR4, RR5]) |
The scalar integer constant of intrinsic default kind, representing the highest decimal exponent range among all real kinds supported by the specific library build.
Final Remarks ⛓
If you believe this algorithm or its documentation can be improved, we appreciate your contribution and help to edit this page's documentation and source file on GitHub.
For details on the naming abbreviations, see this page.
For details on the naming conventions, see this page.
This software is distributed under the MIT license with additional terms outlined below.
This software is available to the public under a highly permissive license.
Help us justify its continued development and maintenance by acknowledging its benefit to society, distributing it, and contributing to it.
Definition at line 730 of file pm_kind.F90.
| integer, parameter pm_kind::RRL = minval([RR1, RR2, RR3, RR4, RR5], mask = 0 < [RR1, RR2, RR3, RR4, RR5]) |
The scalar integer constant of intrinsic default kind, representing the lowest decimal exponent range among all real kinds supported by the specific library build.
Final Remarks ⛓
If you believe this algorithm or its documentation can be improved, we appreciate your contribution and help to edit this page's documentation and source file on GitHub.
For details on the naming abbreviations, see this page.
For details on the naming conventions, see this page.
This software is distributed under the MIT license with additional terms outlined below.
This software is available to the public under a highly permissive license.
Help us justify its continued development and maintenance by acknowledging its benefit to society, distributing it, and contributing to it.
Definition at line 721 of file pm_kind.F90.
| integer, parameter pm_kind::SK = SK_DEF |
The default character kind in the ParaMonte library: kind("a") in Fortran, c_char in C-Fortran Interoperation mode.
Definition at line 539 of file pm_kind.F90.
Referenced by pm_sampling::runParaDRAMF().
| integer parameter pm_kind::SK1 = character_kinds(SK1_ENABLED) |
Definition at line 346 of file pm_kind.F90.
| integer parameter pm_kind::SK2 = character_kinds(SK2_ENABLED) |
Definition at line 341 of file pm_kind.F90.
| integer parameter pm_kind::SK3 = character_kinds(SK3_ENABLED) |
Definition at line 336 of file pm_kind.F90.
| integer parameter pm_kind::SK4 = character_kinds(SK4_ENABLED) |
Definition at line 331 of file pm_kind.F90.
| integer parameter pm_kind::SK5 = character_kinds(SK5_ENABLED) |
Definition at line 326 of file pm_kind.F90.
| integer, parameter pm_kind::SK_DEF = kind("a") |
Definition at line 312 of file pm_kind.F90.
| integer, parameter pm_kind::SKA = selected_char_kind("ascii") |
The ASCII string kind in Fortran mode.
Definition at line 562 of file pm_kind.F90.
| integer, dimension(*), parameter pm_kind::SKALL = pack([SK1, SK2, SK3, SK4, SK5], 0 < [SK1, SK2, SK3, SK4, SK5]) |
The integer vector containing all defined character kinds within the ParaMonte library.
Note that this vector may only be a subset of the character kinds supported by the processor.
Final Remarks ⛓
If you believe this algorithm or its documentation can be improved, we appreciate your contribution and help to edit this page's documentation and source file on GitHub.
For details on the naming abbreviations, see this page.
For details on the naming conventions, see this page.
This software is distributed under the MIT license with additional terms outlined below.
This software is available to the public under a highly permissive license.
Help us justify its continued development and maintenance by acknowledging its benefit to society, distributing it, and contributing to it.
Definition at line 588 of file pm_kind.F90.
| integer, parameter pm_kind::SKD = selected_char_kind("default") |
The DEFAULT string kind in Fortran mode.
Definition at line 561 of file pm_kind.F90.
| integer, parameter pm_kind::SKU = selected_char_kind("iso_10646") |
The UNICODE string kind in Fortran mode.
Definition at line 560 of file pm_kind.F90.
1.9.3