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+  /* __HP_cc = VVRRPP */
+# define COMPILER_VERSION_MAJOR DEC(__HP_cc/10000)
+# define COMPILER_VERSION_MINOR DEC(__HP_cc/100 % 100)
+# define COMPILER_VERSION_PATCH DEC(__HP_cc     % 100)
+
+#elif defined(__DECC)
+# define COMPILER_ID "Compaq"
+  /* __DECC_VER = VVRRTPPPP */
+# define COMPILER_VERSION_MAJOR DEC(__DECC_VER/10000000)
+# define COMPILER_VERSION_MINOR DEC(__DECC_VER/100000  % 100)
+# define COMPILER_VERSION_PATCH DEC(__DECC_VER         % 10000)
+
+#elif defined(__IBMC__) && defined(__COMPILER_VER__)
+# define COMPILER_ID "zOS"
+  /* __IBMC__ = VRP */
+# define COMPILER_VERSION_MAJOR DEC(__IBMC__/100)
+# define COMPILER_VERSION_MINOR DEC(__IBMC__/10 % 10)
+# define COMPILER_VERSION_PATCH DEC(__IBMC__    % 10)
+
+#elif defined(__open_xl__) && defined(__clang__)
+# define COMPILER_ID "IBMClang"
+# define COMPILER_VERSION_MAJOR DEC(__open_xl_version__)
+# define COMPILER_VERSION_MINOR DEC(__open_xl_release__)
+# define COMPILER_VERSION_PATCH DEC(__open_xl_modification__)
+# define COMPILER_VERSION_TWEAK DEC(__open_xl_ptf_fix_level__)
+
+
+#elif defined(__ibmxl__) && defined(__clang__)
+# define COMPILER_ID "XLClang"
+# define COMPILER_VERSION_MAJOR DEC(__ibmxl_version__)
+# define COMPILER_VERSION_MINOR DEC(__ibmxl_release__)
+# define COMPILER_VERSION_PATCH DEC(__ibmxl_modification__)
+# define COMPILER_VERSION_TWEAK DEC(__ibmxl_ptf_fix_level__)
+
+
+#elif defined(__IBMC__) && !defined(__COMPILER_VER__) && __IBMC__ >= 800
+# define COMPILER_ID "XL"
+  /* __IBMC__ = VRP */
+# define COMPILER_VERSION_MAJOR DEC(__IBMC__/100)
+# define COMPILER_VERSION_MINOR DEC(__IBMC__/10 % 10)
+# define COMPILER_VERSION_PATCH DEC(__IBMC__    % 10)
+
+#elif defined(__IBMC__) && !defined(__COMPILER_VER__) && __IBMC__ < 800
+# define COMPILER_ID "VisualAge"
+  /* __IBMC__ = VRP */
+# define COMPILER_VERSION_MAJOR DEC(__IBMC__/100)
+# define COMPILER_VERSION_MINOR DEC(__IBMC__/10 % 10)
+# define COMPILER_VERSION_PATCH DEC(__IBMC__    % 10)
+
+#elif defined(__NVCOMPILER)
+# define COMPILER_ID "NVHPC"
+# define COMPILER_VERSION_MAJOR DEC(__NVCOMPILER_MAJOR__)
+# define COMPILER_VERSION_MINOR DEC(__NVCOMPILER_MINOR__)
+# if defined(__NVCOMPILER_PATCHLEVEL__)
+#  define COMPILER_VERSION_PATCH DEC(__NVCOMPILER_PATCHLEVEL__)
+# endif
+
+#elif defined(__PGI)
+# define COMPILER_ID "PGI"
+# define COMPILER_VERSION_MAJOR DEC(__PGIC__)
+# define COMPILER_VERSION_MINOR DEC(__PGIC_MINOR__)
+# if defined(__PGIC_PATCHLEVEL__)
+#  define COMPILER_VERSION_PATCH DEC(__PGIC_PATCHLEVEL__)
+# endif
+
+#elif defined(__clang__) && defined(__cray__)
+# define COMPILER_ID "CrayClang"
+# define COMPILER_VERSION_MAJOR DEC(__cray_major__)
+# define COMPILER_VERSION_MINOR DEC(__cray_minor__)
+# define COMPILER_VERSION_PATCH DEC(__cray_patchlevel__)
+# define COMPILER_VERSION_INTERNAL_STR __clang_version__
+
+
+#elif defined(_CRAYC)
+# define COMPILER_ID "Cray"
+# define COMPILER_VERSION_MAJOR DEC(_RELEASE_MAJOR)
+# define COMPILER_VERSION_MINOR DEC(_RELEASE_MINOR)
+
+#elif defined(__TI_COMPILER_VERSION__)
+# define COMPILER_ID "TI"
+  /* __TI_COMPILER_VERSION__ = VVVRRRPPP */
+# define COMPILER_VERSION_MAJOR DEC(__TI_COMPILER_VERSION__/1000000)
+# define COMPILER_VERSION_MINOR DEC(__TI_COMPILER_VERSION__/1000   % 1000)
+# define COMPILER_VERSION_PATCH DEC(__TI_COMPILER_VERSION__        % 1000)
+
+#elif defined(__CLANG_FUJITSU)
+# define COMPILER_ID "FujitsuClang"
+# define COMPILER_VERSION_MAJOR DEC(__FCC_major__)
+# define COMPILER_VERSION_MINOR DEC(__FCC_minor__)
+# define COMPILER_VERSION_PATCH DEC(__FCC_patchlevel__)
+# define COMPILER_VERSION_INTERNAL_STR __clang_version__
+
+
+#elif defined(__FUJITSU)
+# define COMPILER_ID "Fujitsu"
+# if defined(__FCC_version__)
+#   define COMPILER_VERSION __FCC_version__
+# elif defined(__FCC_major__)
+#   define COMPILER_VERSION_MAJOR DEC(__FCC_major__)
+#   define COMPILER_VERSION_MINOR DEC(__FCC_minor__)
+#   define COMPILER_VERSION_PATCH DEC(__FCC_patchlevel__)
+# endif
+# if defined(__fcc_version)
+#   define COMPILER_VERSION_INTERNAL DEC(__fcc_version)
+# elif defined(__FCC_VERSION)
+#   define COMPILER_VERSION_INTERNAL DEC(__FCC_VERSION)
+# endif
+
+
+#elif defined(__ghs__)
+# define COMPILER_ID "GHS"
+/* __GHS_VERSION_NUMBER = VVVVRP */
+# ifdef __GHS_VERSION_NUMBER
+# define COMPILER_VERSION_MAJOR DEC(__GHS_VERSION_NUMBER / 100)
+# define COMPILER_VERSION_MINOR DEC(__GHS_VERSION_NUMBER / 10 % 10)
+# define COMPILER_VERSION_PATCH DEC(__GHS_VERSION_NUMBER      % 10)
+# endif
+
+#elif defined(__TASKING__)
+# define COMPILER_ID "Tasking"
+  # define COMPILER_VERSION_MAJOR DEC(__VERSION__/1000)
+  # define COMPILER_VERSION_MINOR DEC(__VERSION__ % 100)
+# define COMPILER_VERSION_INTERNAL DEC(__VERSION__)
+
+#elif defined(__ORANGEC__)
+# define COMPILER_ID "OrangeC"
+# define COMPILER_VERSION_MAJOR DEC(__ORANGEC_MAJOR__)
+# define COMPILER_VERSION_MINOR DEC(__ORANGEC_MINOR__)
+# define COMPILER_VERSION_PATCH DEC(__ORANGEC_PATCHLEVEL__)
+
+#elif defined(__TINYC__)
+# define COMPILER_ID "TinyCC"
+
+#elif defined(__BCC__)
+# define COMPILER_ID "Bruce"
+
+#elif defined(__SCO_VERSION__)
+# define COMPILER_ID "SCO"
+
+#elif defined(__ARMCC_VERSION) && !defined(__clang__)
+# define COMPILER_ID "ARMCC"
+#if __ARMCC_VERSION >= 1000000
+  /* __ARMCC_VERSION = VRRPPPP */
+  # define COMPILER_VERSION_MAJOR DEC(__ARMCC_VERSION/1000000)
+  # define COMPILER_VERSION_MINOR DEC(__ARMCC_VERSION/10000 % 100)
+  # define COMPILER_VERSION_PATCH DEC(__ARMCC_VERSION     % 10000)
+#else
+  /* __ARMCC_VERSION = VRPPPP */
+  # define COMPILER_VERSION_MAJOR DEC(__ARMCC_VERSION/100000)
+  # define COMPILER_VERSION_MINOR DEC(__ARMCC_VERSION/10000 % 10)
+  # define COMPILER_VERSION_PATCH DEC(__ARMCC_VERSION    % 10000)
+#endif
+
+
+#elif defined(__clang__) && defined(__apple_build_version__)
+# define COMPILER_ID "AppleClang"
+# if defined(_MSC_VER)
+#  define SIMULATE_ID "MSVC"
+# endif
+# define COMPILER_VERSION_MAJOR DEC(__clang_major__)
+# define COMPILER_VERSION_MINOR DEC(__clang_minor__)
+# define COMPILER_VERSION_PATCH DEC(__clang_patchlevel__)
+# if defined(_MSC_VER)
+   /* _MSC_VER = VVRR */
+#  define SIMULATE_VERSION_MAJOR DEC(_MSC_VER / 100)
+#  define SIMULATE_VERSION_MINOR DEC(_MSC_VER % 100)
+# endif
+# define COMPILER_VERSION_TWEAK DEC(__apple_build_version__)
+
+#elif defined(__clang__) && defined(__ARMCOMPILER_VERSION)
+# define COMPILER_ID "ARMClang"
+  # define COMPILER_VERSION_MAJOR DEC(__ARMCOMPILER_VERSION/1000000)
+  # define COMPILER_VERSION_MINOR DEC(__ARMCOMPILER_VERSION/10000 % 100)
+  # define COMPILER_VERSION_PATCH DEC(__ARMCOMPILER_VERSION/100   % 100)
+# define COMPILER_VERSION_INTERNAL DEC(__ARMCOMPILER_VERSION)
+
+#elif defined(__clang__) && defined(__ti__)
+# define COMPILER_ID "TIClang"
+  # define COMPILER_VERSION_MAJOR DEC(__ti_major__)
+  # define COMPILER_VERSION_MINOR DEC(__ti_minor__)
+  # define COMPILER_VERSION_PATCH DEC(__ti_patchlevel__)
+# define COMPILER_VERSION_INTERNAL DEC(__ti_version__)
+
+#elif defined(__clang__)
+# define COMPILER_ID "Clang"
+# if defined(_MSC_VER)
+#  define SIMULATE_ID "MSVC"
+# endif
+# define COMPILER_VERSION_MAJOR DEC(__clang_major__)
+# define COMPILER_VERSION_MINOR DEC(__clang_minor__)
+# define COMPILER_VERSION_PATCH DEC(__clang_patchlevel__)
+# if defined(_MSC_VER)
+   /* _MSC_VER = VVRR */
+#  define SIMULATE_VERSION_MAJOR DEC(_MSC_VER / 100)
+#  define SIMULATE_VERSION_MINOR DEC(_MSC_VER % 100)
+# endif
+
+#elif defined(__LCC__) && (defined(__GNUC__) || defined(__GNUG__) || defined(__MCST__))
+# define COMPILER_ID "LCC"
+# define COMPILER_VERSION_MAJOR DEC(__LCC__ / 100)
+# define COMPILER_VERSION_MINOR DEC(__LCC__ % 100)
+# if defined(__LCC_MINOR__)
+#  define COMPILER_VERSION_PATCH DEC(__LCC_MINOR__)
+# endif
+# if defined(__GNUC__) && defined(__GNUC_MINOR__)
+#  define SIMULATE_ID "GNU"
+#  define SIMULATE_VERSION_MAJOR DEC(__GNUC__)
+#  define SIMULATE_VERSION_MINOR DEC(__GNUC_MINOR__)
+#  if defined(__GNUC_PATCHLEVEL__)
+#   define SIMULATE_VERSION_PATCH DEC(__GNUC_PATCHLEVEL__)
+#  endif
+# endif
+
+#elif defined(__GNUC__)
+# define COMPILER_ID "GNU"
+# define COMPILER_VERSION_MAJOR DEC(__GNUC__)
+# if defined(__GNUC_MINOR__)
+#  define COMPILER_VERSION_MINOR DEC(__GNUC_MINOR__)
+# endif
+# if defined(__GNUC_PATCHLEVEL__)
+#  define COMPILER_VERSION_PATCH DEC(__GNUC_PATCHLEVEL__)
+# endif
+
+#elif defined(_MSC_VER)
+# define COMPILER_ID "MSVC"
+  /* _MSC_VER = VVRR */
+# define COMPILER_VERSION_MAJOR DEC(_MSC_VER / 100)
+# define COMPILER_VERSION_MINOR DEC(_MSC_VER % 100)
+# if defined(_MSC_FULL_VER)
+#  if _MSC_VER >= 1400
+    /* _MSC_FULL_VER = VVRRPPPPP */
+#   define COMPILER_VERSION_PATCH DEC(_MSC_FULL_VER % 100000)
+#  else
+    /* _MSC_FULL_VER = VVRRPPPP */
+#   define COMPILER_VERSION_PATCH DEC(_MSC_FULL_VER % 10000)
+#  endif
+# endif
+# if defined(_MSC_BUILD)
+#  define COMPILER_VERSION_TWEAK DEC(_MSC_BUILD)
+# endif
+
+#elif defined(_ADI_COMPILER)
+# define COMPILER_ID "ADSP"
+#if defined(__VERSIONNUM__)
+  /* __VERSIONNUM__ = 0xVVRRPPTT */
+#  define COMPILER_VERSION_MAJOR DEC(__VERSIONNUM__ >> 24 & 0xFF)
+#  define COMPILER_VERSION_MINOR DEC(__VERSIONNUM__ >> 16 & 0xFF)
+#  define COMPILER_VERSION_PATCH DEC(__VERSIONNUM__ >> 8 & 0xFF)
+#  define COMPILER_VERSION_TWEAK DEC(__VERSIONNUM__ & 0xFF)
+#endif
+
+#elif defined(__IAR_SYSTEMS_ICC__) || defined(__IAR_SYSTEMS_ICC)
+# define COMPILER_ID "IAR"
+# if defined(__VER__) && defined(__ICCARM__)
+#  define COMPILER_VERSION_MAJOR DEC((__VER__) / 1000000)
+#  define COMPILER_VERSION_MINOR DEC(((__VER__) / 1000) % 1000)
+#  define COMPILER_VERSION_PATCH DEC((__VER__) % 1000)
+#  define COMPILER_VERSION_INTERNAL DEC(__IAR_SYSTEMS_ICC__)
+# elif defined(__VER__) && (defined(__ICCAVR__) || defined(__ICCRX__) || defined(__ICCRH850__) || defined(__ICCRL78__) || defined(__ICC430__) || defined(__ICCRISCV__) || defined(__ICCV850__) || defined(__ICC8051__) || defined(__ICCSTM8__))
+#  define COMPILER_VERSION_MAJOR DEC((__VER__) / 100)
+#  define COMPILER_VERSION_MINOR DEC((__VER__) - (((__VER__) / 100)*100))
+#  define COMPILER_VERSION_PATCH DEC(__SUBVERSION__)
+#  define COMPILER_VERSION_INTERNAL DEC(__IAR_SYSTEMS_ICC__)
+# endif
+
+#elif defined(__SDCC_VERSION_MAJOR) || defined(SDCC)
+# define COMPILER_ID "SDCC"
+# if defined(__SDCC_VERSION_MAJOR)
+#  define COMPILER_VERSION_MAJOR DEC(__SDCC_VERSION_MAJOR)
+#  define COMPILER_VERSION_MINOR DEC(__SDCC_VERSION_MINOR)
+#  define COMPILER_VERSION_PATCH DEC(__SDCC_VERSION_PATCH)
+# else
+  /* SDCC = VRP */
+#  define COMPILER_VERSION_MAJOR DEC(SDCC/100)
+#  define COMPILER_VERSION_MINOR DEC(SDCC/10 % 10)
+#  define COMPILER_VERSION_PATCH DEC(SDCC    % 10)
+# endif
+
+
+/* These compilers are either not known or too old to define an
+  identification macro.  Try to identify the platform and guess that
+  it is the native compiler.  */
+#elif defined(__hpux) || defined(__hpua)
+# define COMPILER_ID "HP"
+
+#else /* unknown compiler */
+# define COMPILER_ID ""
+#endif
+
+/* Construct the string literal in pieces to prevent the source from
+   getting matched.  Store it in a pointer rather than an array
+   because some compilers will just produce instructions to fill the
+   array rather than assigning a pointer to a static array.  */
+char const* info_compiler = "INFO" ":" "compiler[" COMPILER_ID "]";
+#ifdef SIMULATE_ID
+char const* info_simulate = "INFO" ":" "simulate[" SIMULATE_ID "]";
+#endif
+
+#ifdef __QNXNTO__
+char const* qnxnto = "INFO" ":" "qnxnto[]";
+#endif
+
+#if defined(__CRAYXT_COMPUTE_LINUX_TARGET)
+char const *info_cray = "INFO" ":" "compiler_wrapper[CrayPrgEnv]";
+#endif
+
+#define STRINGIFY_HELPER(X) #X
+#define STRINGIFY(X) STRINGIFY_HELPER(X)
+
+/* Identify known platforms by name.  */
+#if defined(__linux) || defined(__linux__) || defined(linux)
+# define PLATFORM_ID "Linux"
+
+#elif defined(__MSYS__)
+# define PLATFORM_ID "MSYS"
+
+#elif defined(__CYGWIN__)
+# define PLATFORM_ID "Cygwin"
+
+#elif defined(__MINGW32__)
+# define PLATFORM_ID "MinGW"
+
+#elif defined(__APPLE__)
+# define PLATFORM_ID "Darwin"
+
+#elif defined(_WIN32) || defined(__WIN32__) || defined(WIN32)
+# define PLATFORM_ID "Windows"
+
+#elif defined(__FreeBSD__) || defined(__FreeBSD)
+# define PLATFORM_ID "FreeBSD"
+
+#elif defined(__NetBSD__) || defined(__NetBSD)
+# define PLATFORM_ID "NetBSD"
+
+#elif defined(__OpenBSD__) || defined(__OPENBSD)
+# define PLATFORM_ID "OpenBSD"
+
+#elif defined(__sun) || defined(sun)
+# define PLATFORM_ID "SunOS"
+
+#elif defined(_AIX) || defined(__AIX) || defined(__AIX__) || defined(__aix) || defined(__aix__)
+# define PLATFORM_ID "AIX"
+
+#elif defined(__hpux) || defined(__hpux__)
+# define PLATFORM_ID "HP-UX"
+
+#elif defined(__HAIKU__)
+# define PLATFORM_ID "Haiku"
+
+#elif defined(__BeOS) || defined(__BEOS__) || defined(_BEOS)
+# define PLATFORM_ID "BeOS"
+
+#elif defined(__QNX__) || defined(__QNXNTO__)
+# define PLATFORM_ID "QNX"
+
+#elif defined(__tru64) || defined(_tru64) || defined(__TRU64__)
+# define PLATFORM_ID "Tru64"
+
+#elif defined(__riscos) || defined(__riscos__)
+# define PLATFORM_ID "RISCos"
+
+#elif defined(__sinix) || defined(__sinix__) || defined(__SINIX__)
+# define PLATFORM_ID "SINIX"
+
+#elif defined(__UNIX_SV__)
+# define PLATFORM_ID "UNIX_SV"
+
+#elif defined(__bsdos__)
+# define PLATFORM_ID "BSDOS"
+
+#elif defined(_MPRAS) || defined(MPRAS)
+# define PLATFORM_ID "MP-RAS"
+
+#elif defined(__osf) || defined(__osf__)
+# define PLATFORM_ID "OSF1"
+
+#elif defined(_SCO_SV) || defined(SCO_SV) || defined(sco_sv)
+# define PLATFORM_ID "SCO_SV"
+
+#elif defined(__ultrix) || defined(__ultrix__) || defined(_ULTRIX)
+# define PLATFORM_ID "ULTRIX"
+
+#elif defined(__XENIX__) || defined(_XENIX) || defined(XENIX)
+# define PLATFORM_ID "Xenix"
+
+#elif defined(__WATCOMC__)
+# if defined(__LINUX__)
+#  define PLATFORM_ID "Linux"
+
+# elif defined(__DOS__)
+#  define PLATFORM_ID "DOS"
+
+# elif defined(__OS2__)
+#  define PLATFORM_ID "OS2"
+
+# elif defined(__WINDOWS__)
+#  define PLATFORM_ID "Windows3x"
+
+# elif defined(__VXWORKS__)
+#  define PLATFORM_ID "VxWorks"
+
+# else /* unknown platform */
+#  define PLATFORM_ID
+# endif
+
+#elif defined(__INTEGRITY)
+# if defined(INT_178B)
+#  define PLATFORM_ID "Integrity178"
+
+# else /* regular Integrity */
+#  define PLATFORM_ID "Integrity"
+# endif
+
+# elif defined(_ADI_COMPILER)
+#  define PLATFORM_ID "ADSP"
+
+#else /* unknown platform */
+# define PLATFORM_ID
+
+#endif
+
+/* For windows compilers MSVC and Intel we can determine
+   the architecture of the compiler being used.  This is because
+   the compilers do not have flags that can change the architecture,
+   but rather depend on which compiler is being used
+*/
+#if defined(_WIN32) && defined(_MSC_VER)
+# if defined(_M_IA64)
+#  define ARCHITECTURE_ID "IA64"
+
+# elif defined(_M_ARM64EC)
+#  define ARCHITECTURE_ID "ARM64EC"
+
+# elif defined(_M_X64) || defined(_M_AMD64)
+#  define ARCHITECTURE_ID "x64"
+
+# elif defined(_M_IX86)
+#  define ARCHITECTURE_ID "X86"
+
+# elif defined(_M_ARM64)
+#  define ARCHITECTURE_ID "ARM64"
+
+# elif defined(_M_ARM)
+#  if _M_ARM == 4
+#   define ARCHITECTURE_ID "ARMV4I"
+#  elif _M_ARM == 5
+#   define ARCHITECTURE_ID "ARMV5I"
+#  else
+#   define ARCHITECTURE_ID "ARMV" STRINGIFY(_M_ARM)
+#  endif
+
+# elif defined(_M_MIPS)
+#  define ARCHITECTURE_ID "MIPS"
+
+# elif defined(_M_SH)
+#  define ARCHITECTURE_ID "SHx"
+
+# else /* unknown architecture */
+#  define ARCHITECTURE_ID ""
+# endif
+
+#elif defined(__WATCOMC__)
+# if defined(_M_I86)
+#  define ARCHITECTURE_ID "I86"
+
+# elif defined(_M_IX86)
+#  define ARCHITECTURE_ID "X86"
+
+# else /* unknown architecture */
+#  define ARCHITECTURE_ID ""
+# endif
+
+#elif defined(__IAR_SYSTEMS_ICC__) || defined(__IAR_SYSTEMS_ICC)
+# if defined(__ICCARM__)
+#  define ARCHITECTURE_ID "ARM"
+
+# elif defined(__ICCRX__)
+#  define ARCHITECTURE_ID "RX"
+
+# elif defined(__ICCRH850__)
+#  define ARCHITECTURE_ID "RH850"
+
+# elif defined(__ICCRL78__)
+#  define ARCHITECTURE_ID "RL78"
+
+# elif defined(__ICCRISCV__)
+#  define ARCHITECTURE_ID "RISCV"
+
+# elif defined(__ICCAVR__)
+#  define ARCHITECTURE_ID "AVR"
+
+# elif defined(__ICC430__)
+#  define ARCHITECTURE_ID "MSP430"
+
+# elif defined(__ICCV850__)
+#  define ARCHITECTURE_ID "V850"
+
+# elif defined(__ICC8051__)
+#  define ARCHITECTURE_ID "8051"
+
+# elif defined(__ICCSTM8__)
+#  define ARCHITECTURE_ID "STM8"
+
+# else /* unknown architecture */
+#  define ARCHITECTURE_ID ""
+# endif
+
+#elif defined(__ghs__)
+# if defined(__PPC64__)
+#  define ARCHITECTURE_ID "PPC64"
+
+# elif defined(__ppc__)
+#  define ARCHITECTURE_ID "PPC"
+
+# elif defined(__ARM__)
+#  define ARCHITECTURE_ID "ARM"
+
+# elif defined(__x86_64__)
+#  define ARCHITECTURE_ID "x64"
+
+# elif defined(__i386__)
+#  define ARCHITECTURE_ID "X86"
+
+# else /* unknown architecture */
+#  define ARCHITECTURE_ID ""
+# endif
+
+#elif defined(__clang__) && defined(__ti__)
+# if defined(__ARM_ARCH)
+#  define ARCHITECTURE_ID "ARM"
+
+# else /* unknown architecture */
+#  define ARCHITECTURE_ID ""
+# endif
+
+#elif defined(__TI_COMPILER_VERSION__)
+# if defined(__TI_ARM__)
+#  define ARCHITECTURE_ID "ARM"
+
+# elif defined(__MSP430__)
+#  define ARCHITECTURE_ID "MSP430"
+
+# elif defined(__TMS320C28XX__)
+#  define ARCHITECTURE_ID "TMS320C28x"
+
+# elif defined(__TMS320C6X__) || defined(_TMS320C6X)
+#  define ARCHITECTURE_ID "TMS320C6x"
+
+# else /* unknown architecture */
+#  define ARCHITECTURE_ID ""
+# endif
+
+# elif defined(__ADSPSHARC__)
+#  define ARCHITECTURE_ID "SHARC"
+
+# elif defined(__ADSPBLACKFIN__)
+#  define ARCHITECTURE_ID "Blackfin"
+
+#elif defined(__TASKING__)
+
+# if defined(__CTC__) || defined(__CPTC__)
+#  define ARCHITECTURE_ID "TriCore"
+
+# elif defined(__CMCS__)
+#  define ARCHITECTURE_ID "MCS"
+
+# elif defined(__CARM__)
+#  define ARCHITECTURE_ID "ARM"
+
+# elif defined(__CARC__)
+#  define ARCHITECTURE_ID "ARC"
+
+# elif defined(__C51__)
+#  define ARCHITECTURE_ID "8051"
+
+# elif defined(__CPCP__)
+#  define ARCHITECTURE_ID "PCP"
+
+# else
+#  define ARCHITECTURE_ID ""
+# endif
+
+#else
+#  define ARCHITECTURE_ID
+#endif
+
+/* Convert integer to decimal digit literals.  */
+#define DEC(n)                   \
+  ('0' + (((n) / 10000000)%10)), \
+  ('0' + (((n) / 1000000)%10)),  \
+  ('0' + (((n) / 100000)%10)),   \
+  ('0' + (((n) / 10000)%10)),    \
+  ('0' + (((n) / 1000)%10)),     \
+  ('0' + (((n) / 100)%10)),      \
+  ('0' + (((n) / 10)%10)),       \
+  ('0' +  ((n) % 10))
+
+/* Convert integer to hex digit literals.  */
+#define HEX(n)             \
+  ('0' + ((n)>>28 & 0xF)), \
+  ('0' + ((n)>>24 & 0xF)), \
+  ('0' + ((n)>>20 & 0xF)), \
+  ('0' + ((n)>>16 & 0xF)), \
+  ('0' + ((n)>>12 & 0xF)), \
+  ('0' + ((n)>>8  & 0xF)), \
+  ('0' + ((n)>>4  & 0xF)), \
+  ('0' + ((n)     & 0xF))
+
+/* Construct a string literal encoding the version number. */
+#ifdef COMPILER_VERSION
+char const* info_version = "INFO" ":" "compiler_version[" COMPILER_VERSION "]";
+
+/* Construct a string literal encoding the version number components. */
+#elif defined(COMPILER_VERSION_MAJOR)
+char const info_version[] = {
+  'I', 'N', 'F', 'O', ':',
+  'c','o','m','p','i','l','e','r','_','v','e','r','s','i','o','n','[',
+  COMPILER_VERSION_MAJOR,
+# ifdef COMPILER_VERSION_MINOR
+  '.', COMPILER_VERSION_MINOR,
+#  ifdef COMPILER_VERSION_PATCH
+   '.', COMPILER_VERSION_PATCH,
+#   ifdef COMPILER_VERSION_TWEAK
+    '.', COMPILER_VERSION_TWEAK,
+#   endif
+#  endif
+# endif
+  ']','\0'};
+#endif
+
+/* Construct a string literal encoding the internal version number. */
+#ifdef COMPILER_VERSION_INTERNAL
+char const info_version_internal[] = {
+  'I', 'N', 'F', 'O', ':',
+  'c','o','m','p','i','l','e','r','_','v','e','r','s','i','o','n','_',
+  'i','n','t','e','r','n','a','l','[',
+  COMPILER_VERSION_INTERNAL,']','\0'};
+#elif defined(COMPILER_VERSION_INTERNAL_STR)
+char const* info_version_internal = "INFO" ":" "compiler_version_internal[" COMPILER_VERSION_INTERNAL_STR "]";
+#endif
+
+/* Construct a string literal encoding the version number components. */
+#ifdef SIMULATE_VERSION_MAJOR
+char const info_simulate_version[] = {
+  'I', 'N', 'F', 'O', ':',
+  's','i','m','u','l','a','t','e','_','v','e','r','s','i','o','n','[',
+  SIMULATE_VERSION_MAJOR,
+# ifdef SIMULATE_VERSION_MINOR
+  '.', SIMULATE_VERSION_MINOR,
+#  ifdef SIMULATE_VERSION_PATCH
+   '.', SIMULATE_VERSION_PATCH,
+#   ifdef SIMULATE_VERSION_TWEAK
+    '.', SIMULATE_VERSION_TWEAK,
+#   endif
+#  endif
+# endif
+  ']','\0'};
+#endif
+
+/* Construct the string literal in pieces to prevent the source from
+   getting matched.  Store it in a pointer rather than an array
+   because some compilers will just produce instructions to fill the
+   array rather than assigning a pointer to a static array.  */
+char const* info_platform = "INFO" ":" "platform[" PLATFORM_ID "]";
+char const* info_arch = "INFO" ":" "arch[" ARCHITECTURE_ID "]";
+
+
+
+#define C_STD_99 199901L
+#define C_STD_11 201112L
+#define C_STD_17 201710L
+#define C_STD_23 202311L
+
+#ifdef __STDC_VERSION__
+#  define C_STD __STDC_VERSION__
+#endif
+
+#if !defined(__STDC__) && !defined(__clang__)
+# if defined(_MSC_VER) || defined(__ibmxl__) || defined(__IBMC__)
+#  define C_VERSION "90"
+# else
+#  define C_VERSION
+# endif
+#elif C_STD > C_STD_17
+# define C_VERSION "23"
+#elif C_STD > C_STD_11
+# define C_VERSION "17"
+#elif C_STD > C_STD_99
+# define C_VERSION "11"
+#elif C_STD >= C_STD_99
+# define C_VERSION "99"
+#else
+# define C_VERSION "90"
+#endif
+const char* info_language_standard_default =
+  "INFO" ":" "standard_default[" C_VERSION "]";
+
+const char* info_language_extensions_default = "INFO" ":" "extensions_default["
+#if (defined(__clang__) || defined(__GNUC__) || defined(__xlC__) ||           \
+     defined(__TI_COMPILER_VERSION__)) &&                                     \
+  !defined(__STRICT_ANSI__)
+  "ON"
+#else
+  "OFF"
+#endif
+"]";
+
+/*--------------------------------------------------------------------------*/
+
+#ifdef ID_VOID_MAIN
+void main() {}
+#else
+# if defined(__CLASSIC_C__)
+int main(argc, argv) int argc; char *argv[];
+# else
+int main(int argc, char* argv[])
+# endif
+{
+  int require = 0;
+  require += info_compiler[argc];
+  require += info_platform[argc];
+  require += info_arch[argc];
+#ifdef COMPILER_VERSION_MAJOR
+  require += info_version[argc];
+#endif
+#ifdef COMPILER_VERSION_INTERNAL
+  require += info_version_internal[argc];
+#endif
+#ifdef SIMULATE_ID
+  require += info_simulate[argc];
+#endif
+#ifdef SIMULATE_VERSION_MAJOR
+  require += info_simulate_version[argc];
+#endif
+#if defined(__CRAYXT_COMPUTE_LINUX_TARGET)
+  require += info_cray[argc];
+#endif
+  require += info_language_standard_default[argc];
+  require += info_language_extensions_default[argc];
+  (void)argv;
+  return require;
+}
+#endif
diff --git a/dist/b-jni/CMakeFiles/3.31.11/CompilerIdC/CMakeCCompilerId.o b/dist/b-jni/CMakeFiles/3.31.11/CompilerIdC/CMakeCCompilerId.o
new file mode 100644
index 0000000..2e8294d
Binary files /dev/null and b/dist/b-jni/CMakeFiles/3.31.11/CompilerIdC/CMakeCCompilerId.o differ
diff --git a/dist/b-jni/CMakeFiles/3.31.11/CompilerIdCXX/CMakeCXXCompilerId.cpp b/dist/b-jni/CMakeFiles/3.31.11/CompilerIdCXX/CMakeCXXCompilerId.cpp
new file mode 100644
index 0000000..3b6e114
--- /dev/null
+++ b/dist/b-jni/CMakeFiles/3.31.11/CompilerIdCXX/CMakeCXXCompilerId.cpp
@@ -0,0 +1,919 @@
+/* This source file must have a .cpp extension so that all C++ compilers
+   recognize the extension without flags.  Borland does not know .cxx for
+   example.  */
+#ifndef __cplusplus
+# error "A C compiler has been selected for C++."
+#endif
+
+#if !defined(__has_include)
+/* If the compiler does not have __has_include, pretend the answer is
+   always no.  */
+#  define __has_include(x) 0
+#endif
+
+
+/* Version number components: V=Version, R=Revision, P=Patch
+   Version date components:   YYYY=Year, MM=Month,   DD=Day  */
+
+#if defined(__INTEL_COMPILER) || defined(__ICC)
+# define COMPILER_ID "Intel"
+# if defined(_MSC_VER)
+#  define SIMULATE_ID "MSVC"
+# endif
+# if defined(__GNUC__)
+#  define SIMULATE_ID "GNU"
+# endif
+  /* __INTEL_COMPILER = VRP prior to 2021, and then VVVV for 2021 and later,
+     except that a few beta releases use the old format with V=2021.  */
+# if __INTEL_COMPILER < 2021 || __INTEL_COMPILER == 202110 || __INTEL_COMPILER == 202111
+#  define COMPILER_VERSION_MAJOR DEC(__INTEL_COMPILER/100)
+#  define COMPILER_VERSION_MINOR DEC(__INTEL_COMPILER/10 % 10)
+#  if defined(__INTEL_COMPILER_UPDATE)
+#   define COMPILER_VERSION_PATCH DEC(__INTEL_COMPILER_UPDATE)
+#  else
+#   define COMPILER_VERSION_PATCH DEC(__INTEL_COMPILER   % 10)
+#  endif
+# else
+#  define COMPILER_VERSION_MAJOR DEC(__INTEL_COMPILER)
+#  define COMPILER_VERSION_MINOR DEC(__INTEL_COMPILER_UPDATE)
+   /* The third version component from --version is an update index,
+      but no macro is provided for it.  */
+#  define COMPILER_VERSION_PATCH DEC(0)
+# endif
+# if defined(__INTEL_COMPILER_BUILD_DATE)
+   /* __INTEL_COMPILER_BUILD_DATE = YYYYMMDD */
+#  define COMPILER_VERSION_TWEAK DEC(__INTEL_COMPILER_BUILD_DATE)
+# endif
+# if defined(_MSC_VER)
+   /* _MSC_VER = VVRR */
+#  define SIMULATE_VERSION_MAJOR DEC(_MSC_VER / 100)
+#  define SIMULATE_VERSION_MINOR DEC(_MSC_VER % 100)
+# endif
+# if defined(__GNUC__)
+#  define SIMULATE_VERSION_MAJOR DEC(__GNUC__)
+# elif defined(__GNUG__)
+#  define SIMULATE_VERSION_MAJOR DEC(__GNUG__)
+# endif
+# if defined(__GNUC_MINOR__)
+#  define SIMULATE_VERSION_MINOR DEC(__GNUC_MINOR__)
+# endif
+# if defined(__GNUC_PATCHLEVEL__)
+#  define SIMULATE_VERSION_PATCH DEC(__GNUC_PATCHLEVEL__)
+# endif
+
+#elif (defined(__clang__) && defined(__INTEL_CLANG_COMPILER)) || defined(__INTEL_LLVM_COMPILER)
+# define COMPILER_ID "IntelLLVM"
+#if defined(_MSC_VER)
+# define SIMULATE_ID "MSVC"
+#endif
+#if defined(__GNUC__)
+# define SIMULATE_ID "GNU"
+#endif
+/* __INTEL_LLVM_COMPILER = VVVVRP prior to 2021.2.0, VVVVRRPP for 2021.2.0 and
+ * later.  Look for 6 digit vs. 8 digit version number to decide encoding.
+ * VVVV is no smaller than the current year when a version is released.
+ */
+#if __INTEL_LLVM_COMPILER < 1000000L
+# define COMPILER_VERSION_MAJOR DEC(__INTEL_LLVM_COMPILER/100)
+# define COMPILER_VERSION_MINOR DEC(__INTEL_LLVM_COMPILER/10 % 10)
+# define COMPILER_VERSION_PATCH DEC(__INTEL_LLVM_COMPILER    % 10)
+#else
+# define COMPILER_VERSION_MAJOR DEC(__INTEL_LLVM_COMPILER/10000)
+# define COMPILER_VERSION_MINOR DEC(__INTEL_LLVM_COMPILER/100 % 100)
+# define COMPILER_VERSION_PATCH DEC(__INTEL_LLVM_COMPILER     % 100)
+#endif
+#if defined(_MSC_VER)
+  /* _MSC_VER = VVRR */
+# define SIMULATE_VERSION_MAJOR DEC(_MSC_VER / 100)
+# define SIMULATE_VERSION_MINOR DEC(_MSC_VER % 100)
+#endif
+#if defined(__GNUC__)
+# define SIMULATE_VERSION_MAJOR DEC(__GNUC__)
+#elif defined(__GNUG__)
+# define SIMULATE_VERSION_MAJOR DEC(__GNUG__)
+#endif
+#if defined(__GNUC_MINOR__)
+# define SIMULATE_VERSION_MINOR DEC(__GNUC_MINOR__)
+#endif
+#if defined(__GNUC_PATCHLEVEL__)
+# define SIMULATE_VERSION_PATCH DEC(__GNUC_PATCHLEVEL__)
+#endif
+
+#elif defined(__PATHCC__)
+# define COMPILER_ID "PathScale"
+# define COMPILER_VERSION_MAJOR DEC(__PATHCC__)
+# define COMPILER_VERSION_MINOR DEC(__PATHCC_MINOR__)
+# if defined(__PATHCC_PATCHLEVEL__)
+#  define COMPILER_VERSION_PATCH DEC(__PATHCC_PATCHLEVEL__)
+# endif
+
+#elif defined(__BORLANDC__) && defined(__CODEGEARC_VERSION__)
+# define COMPILER_ID "Embarcadero"
+# define COMPILER_VERSION_MAJOR HEX(__CODEGEARC_VERSION__>>24 & 0x00FF)
+# define COMPILER_VERSION_MINOR HEX(__CODEGEARC_VERSION__>>16 & 0x00FF)
+# define COMPILER_VERSION_PATCH DEC(__CODEGEARC_VERSION__     & 0xFFFF)
+
+#elif defined(__BORLANDC__)
+# define COMPILER_ID "Borland"
+  /* __BORLANDC__ = 0xVRR */
+# define COMPILER_VERSION_MAJOR HEX(__BORLANDC__>>8)
+# define COMPILER_VERSION_MINOR HEX(__BORLANDC__ & 0xFF)
+
+#elif defined(__WATCOMC__) && __WATCOMC__ < 1200
+# define COMPILER_ID "Watcom"
+   /* __WATCOMC__ = VVRR */
+# define COMPILER_VERSION_MAJOR DEC(__WATCOMC__ / 100)
+# define COMPILER_VERSION_MINOR DEC((__WATCOMC__ / 10) % 10)
+# if (__WATCOMC__ % 10) > 0
+#  define COMPILER_VERSION_PATCH DEC(__WATCOMC__ % 10)
+# endif
+
+#elif defined(__WATCOMC__)
+# define COMPILER_ID "OpenWatcom"
+   /* __WATCOMC__ = VVRP + 1100 */
+# define COMPILER_VERSION_MAJOR DEC((__WATCOMC__ - 1100) / 100)
+# define COMPILER_VERSION_MINOR DEC((__WATCOMC__ / 10) % 10)
+# if (__WATCOMC__ % 10) > 0
+#  define COMPILER_VERSION_PATCH DEC(__WATCOMC__ % 10)
+# endif
+
+#elif defined(__SUNPRO_CC)
+# define COMPILER_ID "SunPro"
+# if __SUNPRO_CC >= 0x5100
+   /* __SUNPRO_CC = 0xVRRP */
+#  define COMPILER_VERSION_MAJOR HEX(__SUNPRO_CC>>12)
+#  define COMPILER_VERSION_MINOR HEX(__SUNPRO_CC>>4 & 0xFF)
+#  define COMPILER_VERSION_PATCH HEX(__SUNPRO_CC    & 0xF)
+# else
+   /* __SUNPRO_CC = 0xVRP */
+#  define COMPILER_VERSION_MAJOR HEX(__SUNPRO_CC>>8)
+#  define COMPILER_VERSION_MINOR HEX(__SUNPRO_CC>>4 & 0xF)
+#  define COMPILER_VERSION_PATCH HEX(__SUNPRO_CC    & 0xF)
+# endif
+
+#elif defined(__HP_aCC)
+# define COMPILER_ID "HP"
+  /* __HP_aCC = VVRRPP */
+# define COMPILER_VERSION_MAJOR DEC(__HP_aCC/10000)
+# define COMPILER_VERSION_MINOR DEC(__HP_aCC/100 % 100)
+# define COMPILER_VERSION_PATCH DEC(__HP_aCC     % 100)
+
+#elif defined(__DECCXX)
+# define COMPILER_ID "Compaq"
+  /* __DECCXX_VER = VVRRTPPPP */
+# define COMPILER_VERSION_MAJOR DEC(__DECCXX_VER/10000000)
+# define COMPILER_VERSION_MINOR DEC(__DECCXX_VER/100000  % 100)
+# define COMPILER_VERSION_PATCH DEC(__DECCXX_VER         % 10000)
+
+#elif defined(__IBMCPP__) && defined(__COMPILER_VER__)
+# define COMPILER_ID "zOS"
+  /* __IBMCPP__ = VRP */
+# define COMPILER_VERSION_MAJOR DEC(__IBMCPP__/100)
+# define COMPILER_VERSION_MINOR DEC(__IBMCPP__/10 % 10)
+# define COMPILER_VERSION_PATCH DEC(__IBMCPP__    % 10)
+
+#elif defined(__open_xl__) && defined(__clang__)
+# define COMPILER_ID "IBMClang"
+# define COMPILER_VERSION_MAJOR DEC(__open_xl_version__)
+# define COMPILER_VERSION_MINOR DEC(__open_xl_release__)
+# define COMPILER_VERSION_PATCH DEC(__open_xl_modification__)
+# define COMPILER_VERSION_TWEAK DEC(__open_xl_ptf_fix_level__)
+
+
+#elif defined(__ibmxl__) && defined(__clang__)
+# define COMPILER_ID "XLClang"
+# define COMPILER_VERSION_MAJOR DEC(__ibmxl_version__)
+# define COMPILER_VERSION_MINOR DEC(__ibmxl_release__)
+# define COMPILER_VERSION_PATCH DEC(__ibmxl_modification__)
+# define COMPILER_VERSION_TWEAK DEC(__ibmxl_ptf_fix_level__)
+
+
+#elif defined(__IBMCPP__) && !defined(__COMPILER_VER__) && __IBMCPP__ >= 800
+# define COMPILER_ID "XL"
+  /* __IBMCPP__ = VRP */
+# define COMPILER_VERSION_MAJOR DEC(__IBMCPP__/100)
+# define COMPILER_VERSION_MINOR DEC(__IBMCPP__/10 % 10)
+# define COMPILER_VERSION_PATCH DEC(__IBMCPP__    % 10)
+
+#elif defined(__IBMCPP__) && !defined(__COMPILER_VER__) && __IBMCPP__ < 800
+# define COMPILER_ID "VisualAge"
+  /* __IBMCPP__ = VRP */
+# define COMPILER_VERSION_MAJOR DEC(__IBMCPP__/100)
+# define COMPILER_VERSION_MINOR DEC(__IBMCPP__/10 % 10)
+# define COMPILER_VERSION_PATCH DEC(__IBMCPP__    % 10)
+
+#elif defined(__NVCOMPILER)
+# define COMPILER_ID "NVHPC"
+# define COMPILER_VERSION_MAJOR DEC(__NVCOMPILER_MAJOR__)
+# define COMPILER_VERSION_MINOR DEC(__NVCOMPILER_MINOR__)
+# if defined(__NVCOMPILER_PATCHLEVEL__)
+#  define COMPILER_VERSION_PATCH DEC(__NVCOMPILER_PATCHLEVEL__)
+# endif
+
+#elif defined(__PGI)
+# define COMPILER_ID "PGI"
+# define COMPILER_VERSION_MAJOR DEC(__PGIC__)
+# define COMPILER_VERSION_MINOR DEC(__PGIC_MINOR__)
+# if defined(__PGIC_PATCHLEVEL__)
+#  define COMPILER_VERSION_PATCH DEC(__PGIC_PATCHLEVEL__)
+# endif
+
+#elif defined(__clang__) && defined(__cray__)
+# define COMPILER_ID "CrayClang"
+# define COMPILER_VERSION_MAJOR DEC(__cray_major__)
+# define COMPILER_VERSION_MINOR DEC(__cray_minor__)
+# define COMPILER_VERSION_PATCH DEC(__cray_patchlevel__)
+# define COMPILER_VERSION_INTERNAL_STR __clang_version__
+
+
+#elif defined(_CRAYC)
+# define COMPILER_ID "Cray"
+# define COMPILER_VERSION_MAJOR DEC(_RELEASE_MAJOR)
+# define COMPILER_VERSION_MINOR DEC(_RELEASE_MINOR)
+
+#elif defined(__TI_COMPILER_VERSION__)
+# define COMPILER_ID "TI"
+  /* __TI_COMPILER_VERSION__ = VVVRRRPPP */
+# define COMPILER_VERSION_MAJOR DEC(__TI_COMPILER_VERSION__/1000000)
+# define COMPILER_VERSION_MINOR DEC(__TI_COMPILER_VERSION__/1000   % 1000)
+# define COMPILER_VERSION_PATCH DEC(__TI_COMPILER_VERSION__        % 1000)
+
+#elif defined(__CLANG_FUJITSU)
+# define COMPILER_ID "FujitsuClang"
+# define COMPILER_VERSION_MAJOR DEC(__FCC_major__)
+# define COMPILER_VERSION_MINOR DEC(__FCC_minor__)
+# define COMPILER_VERSION_PATCH DEC(__FCC_patchlevel__)
+# define COMPILER_VERSION_INTERNAL_STR __clang_version__
+
+
+#elif defined(__FUJITSU)
+# define COMPILER_ID "Fujitsu"
+# if defined(__FCC_version__)
+#   define COMPILER_VERSION __FCC_version__
+# elif defined(__FCC_major__)
+#   define COMPILER_VERSION_MAJOR DEC(__FCC_major__)
+#   define COMPILER_VERSION_MINOR DEC(__FCC_minor__)
+#   define COMPILER_VERSION_PATCH DEC(__FCC_patchlevel__)
+# endif
+# if defined(__fcc_version)
+#   define COMPILER_VERSION_INTERNAL DEC(__fcc_version)
+# elif defined(__FCC_VERSION)
+#   define COMPILER_VERSION_INTERNAL DEC(__FCC_VERSION)
+# endif
+
+
+#elif defined(__ghs__)
+# define COMPILER_ID "GHS"
+/* __GHS_VERSION_NUMBER = VVVVRP */
+# ifdef __GHS_VERSION_NUMBER
+# define COMPILER_VERSION_MAJOR DEC(__GHS_VERSION_NUMBER / 100)
+# define COMPILER_VERSION_MINOR DEC(__GHS_VERSION_NUMBER / 10 % 10)
+# define COMPILER_VERSION_PATCH DEC(__GHS_VERSION_NUMBER      % 10)
+# endif
+
+#elif defined(__TASKING__)
+# define COMPILER_ID "Tasking"
+  # define COMPILER_VERSION_MAJOR DEC(__VERSION__/1000)
+  # define COMPILER_VERSION_MINOR DEC(__VERSION__ % 100)
+# define COMPILER_VERSION_INTERNAL DEC(__VERSION__)
+
+#elif defined(__ORANGEC__)
+# define COMPILER_ID "OrangeC"
+# define COMPILER_VERSION_MAJOR DEC(__ORANGEC_MAJOR__)
+# define COMPILER_VERSION_MINOR DEC(__ORANGEC_MINOR__)
+# define COMPILER_VERSION_PATCH DEC(__ORANGEC_PATCHLEVEL__)
+
+#elif defined(__SCO_VERSION__)
+# define COMPILER_ID "SCO"
+
+#elif defined(__ARMCC_VERSION) && !defined(__clang__)
+# define COMPILER_ID "ARMCC"
+#if __ARMCC_VERSION >= 1000000
+  /* __ARMCC_VERSION = VRRPPPP */
+  # define COMPILER_VERSION_MAJOR DEC(__ARMCC_VERSION/1000000)
+  # define COMPILER_VERSION_MINOR DEC(__ARMCC_VERSION/10000 % 100)
+  # define COMPILER_VERSION_PATCH DEC(__ARMCC_VERSION     % 10000)
+#else
+  /* __ARMCC_VERSION = VRPPPP */
+  # define COMPILER_VERSION_MAJOR DEC(__ARMCC_VERSION/100000)
+  # define COMPILER_VERSION_MINOR DEC(__ARMCC_VERSION/10000 % 10)
+  # define COMPILER_VERSION_PATCH DEC(__ARMCC_VERSION    % 10000)
+#endif
+
+
+#elif defined(__clang__) && defined(__apple_build_version__)
+# define COMPILER_ID "AppleClang"
+# if defined(_MSC_VER)
+#  define SIMULATE_ID "MSVC"
+# endif
+# define COMPILER_VERSION_MAJOR DEC(__clang_major__)
+# define COMPILER_VERSION_MINOR DEC(__clang_minor__)
+# define COMPILER_VERSION_PATCH DEC(__clang_patchlevel__)
+# if defined(_MSC_VER)
+   /* _MSC_VER = VVRR */
+#  define SIMULATE_VERSION_MAJOR DEC(_MSC_VER / 100)
+#  define SIMULATE_VERSION_MINOR DEC(_MSC_VER % 100)
+# endif
+# define COMPILER_VERSION_TWEAK DEC(__apple_build_version__)
+
+#elif defined(__clang__) && defined(__ARMCOMPILER_VERSION)
+# define COMPILER_ID "ARMClang"
+  # define COMPILER_VERSION_MAJOR DEC(__ARMCOMPILER_VERSION/1000000)
+  # define COMPILER_VERSION_MINOR DEC(__ARMCOMPILER_VERSION/10000 % 100)
+  # define COMPILER_VERSION_PATCH DEC(__ARMCOMPILER_VERSION/100   % 100)
+# define COMPILER_VERSION_INTERNAL DEC(__ARMCOMPILER_VERSION)
+
+#elif defined(__clang__) && defined(__ti__)
+# define COMPILER_ID "TIClang"
+  # define COMPILER_VERSION_MAJOR DEC(__ti_major__)
+  # define COMPILER_VERSION_MINOR DEC(__ti_minor__)
+  # define COMPILER_VERSION_PATCH DEC(__ti_patchlevel__)
+# define COMPILER_VERSION_INTERNAL DEC(__ti_version__)
+
+#elif defined(__clang__)
+# define COMPILER_ID "Clang"
+# if defined(_MSC_VER)
+#  define SIMULATE_ID "MSVC"
+# endif
+# define COMPILER_VERSION_MAJOR DEC(__clang_major__)
+# define COMPILER_VERSION_MINOR DEC(__clang_minor__)
+# define COMPILER_VERSION_PATCH DEC(__clang_patchlevel__)
+# if defined(_MSC_VER)
+   /* _MSC_VER = VVRR */
+#  define SIMULATE_VERSION_MAJOR DEC(_MSC_VER / 100)
+#  define SIMULATE_VERSION_MINOR DEC(_MSC_VER % 100)
+# endif
+
+#elif defined(__LCC__) && (defined(__GNUC__) || defined(__GNUG__) || defined(__MCST__))
+# define COMPILER_ID "LCC"
+# define COMPILER_VERSION_MAJOR DEC(__LCC__ / 100)
+# define COMPILER_VERSION_MINOR DEC(__LCC__ % 100)
+# if defined(__LCC_MINOR__)
+#  define COMPILER_VERSION_PATCH DEC(__LCC_MINOR__)
+# endif
+# if defined(__GNUC__) && defined(__GNUC_MINOR__)
+#  define SIMULATE_ID "GNU"
+#  define SIMULATE_VERSION_MAJOR DEC(__GNUC__)
+#  define SIMULATE_VERSION_MINOR DEC(__GNUC_MINOR__)
+#  if defined(__GNUC_PATCHLEVEL__)
+#   define SIMULATE_VERSION_PATCH DEC(__GNUC_PATCHLEVEL__)
+#  endif
+# endif
+
+#elif defined(__GNUC__) || defined(__GNUG__)
+# define COMPILER_ID "GNU"
+# if defined(__GNUC__)
+#  define COMPILER_VERSION_MAJOR DEC(__GNUC__)
+# else
+#  define COMPILER_VERSION_MAJOR DEC(__GNUG__)
+# endif
+# if defined(__GNUC_MINOR__)
+#  define COMPILER_VERSION_MINOR DEC(__GNUC_MINOR__)
+# endif
+# if defined(__GNUC_PATCHLEVEL__)
+#  define COMPILER_VERSION_PATCH DEC(__GNUC_PATCHLEVEL__)
+# endif
+
+#elif defined(_MSC_VER)
+# define COMPILER_ID "MSVC"
+  /* _MSC_VER = VVRR */
+# define COMPILER_VERSION_MAJOR DEC(_MSC_VER / 100)
+# define COMPILER_VERSION_MINOR DEC(_MSC_VER % 100)
+# if defined(_MSC_FULL_VER)
+#  if _MSC_VER >= 1400
+    /* _MSC_FULL_VER = VVRRPPPPP */
+#   define COMPILER_VERSION_PATCH DEC(_MSC_FULL_VER % 100000)
+#  else
+    /* _MSC_FULL_VER = VVRRPPPP */
+#   define COMPILER_VERSION_PATCH DEC(_MSC_FULL_VER % 10000)
+#  endif
+# endif
+# if defined(_MSC_BUILD)
+#  define COMPILER_VERSION_TWEAK DEC(_MSC_BUILD)
+# endif
+
+#elif defined(_ADI_COMPILER)
+# define COMPILER_ID "ADSP"
+#if defined(__VERSIONNUM__)
+  /* __VERSIONNUM__ = 0xVVRRPPTT */
+#  define COMPILER_VERSION_MAJOR DEC(__VERSIONNUM__ >> 24 & 0xFF)
+#  define COMPILER_VERSION_MINOR DEC(__VERSIONNUM__ >> 16 & 0xFF)
+#  define COMPILER_VERSION_PATCH DEC(__VERSIONNUM__ >> 8 & 0xFF)
+#  define COMPILER_VERSION_TWEAK DEC(__VERSIONNUM__ & 0xFF)
+#endif
+
+#elif defined(__IAR_SYSTEMS_ICC__) || defined(__IAR_SYSTEMS_ICC)
+# define COMPILER_ID "IAR"
+# if defined(__VER__) && defined(__ICCARM__)
+#  define COMPILER_VERSION_MAJOR DEC((__VER__) / 1000000)
+#  define COMPILER_VERSION_MINOR DEC(((__VER__) / 1000) % 1000)
+#  define COMPILER_VERSION_PATCH DEC((__VER__) % 1000)
+#  define COMPILER_VERSION_INTERNAL DEC(__IAR_SYSTEMS_ICC__)
+# elif defined(__VER__) && (defined(__ICCAVR__) || defined(__ICCRX__) || defined(__ICCRH850__) || defined(__ICCRL78__) || defined(__ICC430__) || defined(__ICCRISCV__) || defined(__ICCV850__) || defined(__ICC8051__) || defined(__ICCSTM8__))
+#  define COMPILER_VERSION_MAJOR DEC((__VER__) / 100)
+#  define COMPILER_VERSION_MINOR DEC((__VER__) - (((__VER__) / 100)*100))
+#  define COMPILER_VERSION_PATCH DEC(__SUBVERSION__)
+#  define COMPILER_VERSION_INTERNAL DEC(__IAR_SYSTEMS_ICC__)
+# endif
+
+
+/* These compilers are either not known or too old to define an
+  identification macro.  Try to identify the platform and guess that
+  it is the native compiler.  */
+#elif defined(__hpux) || defined(__hpua)
+# define COMPILER_ID "HP"
+
+#else /* unknown compiler */
+# define COMPILER_ID ""
+#endif
+
+/* Construct the string literal in pieces to prevent the source from
+   getting matched.  Store it in a pointer rather than an array
+   because some compilers will just produce instructions to fill the
+   array rather than assigning a pointer to a static array.  */
+char const* info_compiler = "INFO" ":" "compiler[" COMPILER_ID "]";
+#ifdef SIMULATE_ID
+char const* info_simulate = "INFO" ":" "simulate[" SIMULATE_ID "]";
+#endif
+
+#ifdef __QNXNTO__
+char const* qnxnto = "INFO" ":" "qnxnto[]";
+#endif
+
+#if defined(__CRAYXT_COMPUTE_LINUX_TARGET)
+char const *info_cray = "INFO" ":" "compiler_wrapper[CrayPrgEnv]";
+#endif
+
+#define STRINGIFY_HELPER(X) #X
+#define STRINGIFY(X) STRINGIFY_HELPER(X)
+
+/* Identify known platforms by name.  */
+#if defined(__linux) || defined(__linux__) || defined(linux)
+# define PLATFORM_ID "Linux"
+
+#elif defined(__MSYS__)
+# define PLATFORM_ID "MSYS"
+
+#elif defined(__CYGWIN__)
+# define PLATFORM_ID "Cygwin"
+
+#elif defined(__MINGW32__)
+# define PLATFORM_ID "MinGW"
+
+#elif defined(__APPLE__)
+# define PLATFORM_ID "Darwin"
+
+#elif defined(_WIN32) || defined(__WIN32__) || defined(WIN32)
+# define PLATFORM_ID "Windows"
+
+#elif defined(__FreeBSD__) || defined(__FreeBSD)
+# define PLATFORM_ID "FreeBSD"
+
+#elif defined(__NetBSD__) || defined(__NetBSD)
+# define PLATFORM_ID "NetBSD"
+
+#elif defined(__OpenBSD__) || defined(__OPENBSD)
+# define PLATFORM_ID "OpenBSD"
+
+#elif defined(__sun) || defined(sun)
+# define PLATFORM_ID "SunOS"
+
+#elif defined(_AIX) || defined(__AIX) || defined(__AIX__) || defined(__aix) || defined(__aix__)
+# define PLATFORM_ID "AIX"
+
+#elif defined(__hpux) || defined(__hpux__)
+# define PLATFORM_ID "HP-UX"
+
+#elif defined(__HAIKU__)
+# define PLATFORM_ID "Haiku"
+
+#elif defined(__BeOS) || defined(__BEOS__) || defined(_BEOS)
+# define PLATFORM_ID "BeOS"
+
+#elif defined(__QNX__) || defined(__QNXNTO__)
+# define PLATFORM_ID "QNX"
+
+#elif defined(__tru64) || defined(_tru64) || defined(__TRU64__)
+# define PLATFORM_ID "Tru64"
+
+#elif defined(__riscos) || defined(__riscos__)
+# define PLATFORM_ID "RISCos"
+
+#elif defined(__sinix) || defined(__sinix__) || defined(__SINIX__)
+# define PLATFORM_ID "SINIX"
+
+#elif defined(__UNIX_SV__)
+# define PLATFORM_ID "UNIX_SV"
+
+#elif defined(__bsdos__)
+# define PLATFORM_ID "BSDOS"
+
+#elif defined(_MPRAS) || defined(MPRAS)
+# define PLATFORM_ID "MP-RAS"
+
+#elif defined(__osf) || defined(__osf__)
+# define PLATFORM_ID "OSF1"
+
+#elif defined(_SCO_SV) || defined(SCO_SV) || defined(sco_sv)
+# define PLATFORM_ID "SCO_SV"
+
+#elif defined(__ultrix) || defined(__ultrix__) || defined(_ULTRIX)
+# define PLATFORM_ID "ULTRIX"
+
+#elif defined(__XENIX__) || defined(_XENIX) || defined(XENIX)
+# define PLATFORM_ID "Xenix"
+
+#elif defined(__WATCOMC__)
+# if defined(__LINUX__)
+#  define PLATFORM_ID "Linux"
+
+# elif defined(__DOS__)
+#  define PLATFORM_ID "DOS"
+
+# elif defined(__OS2__)
+#  define PLATFORM_ID "OS2"
+
+# elif defined(__WINDOWS__)
+#  define PLATFORM_ID "Windows3x"
+
+# elif defined(__VXWORKS__)
+#  define PLATFORM_ID "VxWorks"
+
+# else /* unknown platform */
+#  define PLATFORM_ID
+# endif
+
+#elif defined(__INTEGRITY)
+# if defined(INT_178B)
+#  define PLATFORM_ID "Integrity178"
+
+# else /* regular Integrity */
+#  define PLATFORM_ID "Integrity"
+# endif
+
+# elif defined(_ADI_COMPILER)
+#  define PLATFORM_ID "ADSP"
+
+#else /* unknown platform */
+# define PLATFORM_ID
+
+#endif
+
+/* For windows compilers MSVC and Intel we can determine
+   the architecture of the compiler being used.  This is because
+   the compilers do not have flags that can change the architecture,
+   but rather depend on which compiler is being used
+*/
+#if defined(_WIN32) && defined(_MSC_VER)
+# if defined(_M_IA64)
+#  define ARCHITECTURE_ID "IA64"
+
+# elif defined(_M_ARM64EC)
+#  define ARCHITECTURE_ID "ARM64EC"
+
+# elif defined(_M_X64) || defined(_M_AMD64)
+#  define ARCHITECTURE_ID "x64"
+
+# elif defined(_M_IX86)
+#  define ARCHITECTURE_ID "X86"
+
+# elif defined(_M_ARM64)
+#  define ARCHITECTURE_ID "ARM64"
+
+# elif defined(_M_ARM)
+#  if _M_ARM == 4
+#   define ARCHITECTURE_ID "ARMV4I"
+#  elif _M_ARM == 5
+#   define ARCHITECTURE_ID "ARMV5I"
+#  else
+#   define ARCHITECTURE_ID "ARMV" STRINGIFY(_M_ARM)
+#  endif
+
+# elif defined(_M_MIPS)
+#  define ARCHITECTURE_ID "MIPS"
+
+# elif defined(_M_SH)
+#  define ARCHITECTURE_ID "SHx"
+
+# else /* unknown architecture */
+#  define ARCHITECTURE_ID ""
+# endif
+
+#elif defined(__WATCOMC__)
+# if defined(_M_I86)
+#  define ARCHITECTURE_ID "I86"
+
+# elif defined(_M_IX86)
+#  define ARCHITECTURE_ID "X86"
+
+# else /* unknown architecture */
+#  define ARCHITECTURE_ID ""
+# endif
+
+#elif defined(__IAR_SYSTEMS_ICC__) || defined(__IAR_SYSTEMS_ICC)
+# if defined(__ICCARM__)
+#  define ARCHITECTURE_ID "ARM"
+
+# elif defined(__ICCRX__)
+#  define ARCHITECTURE_ID "RX"
+
+# elif defined(__ICCRH850__)
+#  define ARCHITECTURE_ID "RH850"
+
+# elif defined(__ICCRL78__)
+#  define ARCHITECTURE_ID "RL78"
+
+# elif defined(__ICCRISCV__)
+#  define ARCHITECTURE_ID "RISCV"
+
+# elif defined(__ICCAVR__)
+#  define ARCHITECTURE_ID "AVR"
+
+# elif defined(__ICC430__)
+#  define ARCHITECTURE_ID "MSP430"
+
+# elif defined(__ICCV850__)
+#  define ARCHITECTURE_ID "V850"
+
+# elif defined(__ICC8051__)
+#  define ARCHITECTURE_ID "8051"
+
+# elif defined(__ICCSTM8__)
+#  define ARCHITECTURE_ID "STM8"
+
+# else /* unknown architecture */
+#  define ARCHITECTURE_ID ""
+# endif
+
+#elif defined(__ghs__)
+# if defined(__PPC64__)
+#  define ARCHITECTURE_ID "PPC64"
+
+# elif defined(__ppc__)
+#  define ARCHITECTURE_ID "PPC"
+
+# elif defined(__ARM__)
+#  define ARCHITECTURE_ID "ARM"
+
+# elif defined(__x86_64__)
+#  define ARCHITECTURE_ID "x64"
+
+# elif defined(__i386__)
+#  define ARCHITECTURE_ID "X86"
+
+# else /* unknown architecture */
+#  define ARCHITECTURE_ID ""
+# endif
+
+#elif defined(__clang__) && defined(__ti__)
+# if defined(__ARM_ARCH)
+#  define ARCHITECTURE_ID "ARM"
+
+# else /* unknown architecture */
+#  define ARCHITECTURE_ID ""
+# endif
+
+#elif defined(__TI_COMPILER_VERSION__)
+# if defined(__TI_ARM__)
+#  define ARCHITECTURE_ID "ARM"
+
+# elif defined(__MSP430__)
+#  define ARCHITECTURE_ID "MSP430"
+
+# elif defined(__TMS320C28XX__)
+#  define ARCHITECTURE_ID "TMS320C28x"
+
+# elif defined(__TMS320C6X__) || defined(_TMS320C6X)
+#  define ARCHITECTURE_ID "TMS320C6x"
+
+# else /* unknown architecture */
+#  define ARCHITECTURE_ID ""
+# endif
+
+# elif defined(__ADSPSHARC__)
+#  define ARCHITECTURE_ID "SHARC"
+
+# elif defined(__ADSPBLACKFIN__)
+#  define ARCHITECTURE_ID "Blackfin"
+
+#elif defined(__TASKING__)
+
+# if defined(__CTC__) || defined(__CPTC__)
+#  define ARCHITECTURE_ID "TriCore"
+
+# elif defined(__CMCS__)
+#  define ARCHITECTURE_ID "MCS"
+
+# elif defined(__CARM__)
+#  define ARCHITECTURE_ID "ARM"
+
+# elif defined(__CARC__)
+#  define ARCHITECTURE_ID "ARC"
+
+# elif defined(__C51__)
+#  define ARCHITECTURE_ID "8051"
+
+# elif defined(__CPCP__)
+#  define ARCHITECTURE_ID "PCP"
+
+# else
+#  define ARCHITECTURE_ID ""
+# endif
+
+#else
+#  define ARCHITECTURE_ID
+#endif
+
+/* Convert integer to decimal digit literals.  */
+#define DEC(n)                   \
+  ('0' + (((n) / 10000000)%10)), \
+  ('0' + (((n) / 1000000)%10)),  \
+  ('0' + (((n) / 100000)%10)),   \
+  ('0' + (((n) / 10000)%10)),    \
+  ('0' + (((n) / 1000)%10)),     \
+  ('0' + (((n) / 100)%10)),      \
+  ('0' + (((n) / 10)%10)),       \
+  ('0' +  ((n) % 10))
+
+/* Convert integer to hex digit literals.  */
+#define HEX(n)             \
+  ('0' + ((n)>>28 & 0xF)), \
+  ('0' + ((n)>>24 & 0xF)), \
+  ('0' + ((n)>>20 & 0xF)), \
+  ('0' + ((n)>>16 & 0xF)), \
+  ('0' + ((n)>>12 & 0xF)), \
+  ('0' + ((n)>>8  & 0xF)), \
+  ('0' + ((n)>>4  & 0xF)), \
+  ('0' + ((n)     & 0xF))
+
+/* Construct a string literal encoding the version number. */
+#ifdef COMPILER_VERSION
+char const* info_version = "INFO" ":" "compiler_version[" COMPILER_VERSION "]";
+
+/* Construct a string literal encoding the version number components. */
+#elif defined(COMPILER_VERSION_MAJOR)
+char const info_version[] = {
+  'I', 'N', 'F', 'O', ':',
+  'c','o','m','p','i','l','e','r','_','v','e','r','s','i','o','n','[',
+  COMPILER_VERSION_MAJOR,
+# ifdef COMPILER_VERSION_MINOR
+  '.', COMPILER_VERSION_MINOR,
+#  ifdef COMPILER_VERSION_PATCH
+   '.', COMPILER_VERSION_PATCH,
+#   ifdef COMPILER_VERSION_TWEAK
+    '.', COMPILER_VERSION_TWEAK,
+#   endif
+#  endif
+# endif
+  ']','\0'};
+#endif
+
+/* Construct a string literal encoding the internal version number. */
+#ifdef COMPILER_VERSION_INTERNAL
+char const info_version_internal[] = {
+  'I', 'N', 'F', 'O', ':',
+  'c','o','m','p','i','l','e','r','_','v','e','r','s','i','o','n','_',
+  'i','n','t','e','r','n','a','l','[',
+  COMPILER_VERSION_INTERNAL,']','\0'};
+#elif defined(COMPILER_VERSION_INTERNAL_STR)
+char const* info_version_internal = "INFO" ":" "compiler_version_internal[" COMPILER_VERSION_INTERNAL_STR "]";
+#endif
+
+/* Construct a string literal encoding the version number components. */
+#ifdef SIMULATE_VERSION_MAJOR
+char const info_simulate_version[] = {
+  'I', 'N', 'F', 'O', ':',
+  's','i','m','u','l','a','t','e','_','v','e','r','s','i','o','n','[',
+  SIMULATE_VERSION_MAJOR,
+# ifdef SIMULATE_VERSION_MINOR
+  '.', SIMULATE_VERSION_MINOR,
+#  ifdef SIMULATE_VERSION_PATCH
+   '.', SIMULATE_VERSION_PATCH,
+#   ifdef SIMULATE_VERSION_TWEAK
+    '.', SIMULATE_VERSION_TWEAK,
+#   endif
+#  endif
+# endif
+  ']','\0'};
+#endif
+
+/* Construct the string literal in pieces to prevent the source from
+   getting matched.  Store it in a pointer rather than an array
+   because some compilers will just produce instructions to fill the
+   array rather than assigning a pointer to a static array.  */
+char const* info_platform = "INFO" ":" "platform[" PLATFORM_ID "]";
+char const* info_arch = "INFO" ":" "arch[" ARCHITECTURE_ID "]";
+
+
+
+#define CXX_STD_98 199711L
+#define CXX_STD_11 201103L
+#define CXX_STD_14 201402L
+#define CXX_STD_17 201703L
+#define CXX_STD_20 202002L
+#define CXX_STD_23 202302L
+
+#if defined(__INTEL_COMPILER) && defined(_MSVC_LANG)
+#  if _MSVC_LANG > CXX_STD_17
+#    define CXX_STD _MSVC_LANG
+#  elif _MSVC_LANG == CXX_STD_17 && defined(__cpp_aggregate_paren_init)
+#    define CXX_STD CXX_STD_20
+#  elif _MSVC_LANG > CXX_STD_14 && __cplusplus > CXX_STD_17
+#    define CXX_STD CXX_STD_20
+#  elif _MSVC_LANG > CXX_STD_14
+#    define CXX_STD CXX_STD_17
+#  elif defined(__INTEL_CXX11_MODE__) && defined(__cpp_aggregate_nsdmi)
+#    define CXX_STD CXX_STD_14
+#  elif defined(__INTEL_CXX11_MODE__)
+#    define CXX_STD CXX_STD_11
+#  else
+#    define CXX_STD CXX_STD_98
+#  endif
+#elif defined(_MSC_VER) && defined(_MSVC_LANG)
+#  if _MSVC_LANG > __cplusplus
+#    define CXX_STD _MSVC_LANG
+#  else
+#    define CXX_STD __cplusplus
+#  endif
+#elif defined(__NVCOMPILER)
+#  if __cplusplus == CXX_STD_17 && defined(__cpp_aggregate_paren_init)
+#    define CXX_STD CXX_STD_20
+#  else
+#    define CXX_STD __cplusplus
+#  endif
+#elif defined(__INTEL_COMPILER) || defined(__PGI)
+#  if __cplusplus == CXX_STD_11 && defined(__cpp_namespace_attributes)
+#    define CXX_STD CXX_STD_17
+#  elif __cplusplus == CXX_STD_11 && defined(__cpp_aggregate_nsdmi)
+#    define CXX_STD CXX_STD_14
+#  else
+#    define CXX_STD __cplusplus
+#  endif
+#elif (defined(__IBMCPP__) || defined(__ibmxl__)) && defined(__linux__)
+#  if __cplusplus == CXX_STD_11 && defined(__cpp_aggregate_nsdmi)
+#    define CXX_STD CXX_STD_14
+#  else
+#    define CXX_STD __cplusplus
+#  endif
+#elif __cplusplus == 1 && defined(__GXX_EXPERIMENTAL_CXX0X__)
+#  define CXX_STD CXX_STD_11
+#else
+#  define CXX_STD __cplusplus
+#endif
+
+const char* info_language_standard_default = "INFO" ":" "standard_default["
+#if CXX_STD > CXX_STD_23
+  "26"
+#elif CXX_STD > CXX_STD_20
+  "23"
+#elif CXX_STD > CXX_STD_17
+  "20"
+#elif CXX_STD > CXX_STD_14
+  "17"
+#elif CXX_STD > CXX_STD_11
+  "14"
+#elif CXX_STD >= CXX_STD_11
+  "11"
+#else
+  "98"
+#endif
+"]";
+
+const char* info_language_extensions_default = "INFO" ":" "extensions_default["
+#if (defined(__clang__) || defined(__GNUC__) || defined(__xlC__) ||           \
+     defined(__TI_COMPILER_VERSION__)) &&                                     \
+  !defined(__STRICT_ANSI__)
+  "ON"
+#else
+  "OFF"
+#endif
+"]";
+
+/*--------------------------------------------------------------------------*/
+
+int main(int argc, char* argv[])
+{
+  int require = 0;
+  require += info_compiler[argc];
+  require += info_platform[argc];
+  require += info_arch[argc];
+#ifdef COMPILER_VERSION_MAJOR
+  require += info_version[argc];
+#endif
+#ifdef COMPILER_VERSION_INTERNAL
+  require += info_version_internal[argc];
+#endif
+#ifdef SIMULATE_ID
+  require += info_simulate[argc];
+#endif
+#ifdef SIMULATE_VERSION_MAJOR
+  require += info_simulate_version[argc];
+#endif
+#if defined(__CRAYXT_COMPUTE_LINUX_TARGET)
+  require += info_cray[argc];
+#endif
+  require += info_language_standard_default[argc];
+  require += info_language_extensions_default[argc];
+  (void)argv;
+  return require;
+}
diff --git a/dist/b-jni/CMakeFiles/3.31.11/CompilerIdCXX/CMakeCXXCompilerId.o b/dist/b-jni/CMakeFiles/3.31.11/CompilerIdCXX/CMakeCXXCompilerId.o
new file mode 100644
index 0000000..517b99d
Binary files /dev/null and b/dist/b-jni/CMakeFiles/3.31.11/CompilerIdCXX/CMakeCXXCompilerId.o differ
diff --git a/dist/b-jni/CMakeFiles/CMakeConfigureLog.yaml b/dist/b-jni/CMakeFiles/CMakeConfigureLog.yaml
new file mode 100644
index 0000000..5d0fa94
--- /dev/null
+++ b/dist/b-jni/CMakeFiles/CMakeConfigureLog.yaml
@@ -0,0 +1,403 @@
+
+---
+events:
+  -
+    kind: "message-v1"
+    backtrace:
+      - "/usr/share/cmake/Modules/CMakeDetermineSystem.cmake:200 (message)"
+      - "CMakeLists.txt:2 (project)"
+    message: |
+      The target system is: Android - 1 - aarch64
+      The host system is: Linux - 7.0.8-100.fc43.x86_64 - x86_64
+  -
+    kind: "message-v1"
+    backtrace:
+      - "/usr/share/cmake/Modules/CMakeDetermineCompilerId.cmake:17 (message)"
+      - "/usr/share/cmake/Modules/CMakeDetermineCompilerId.cmake:64 (__determine_compiler_id_test)"
+      - "/usr/share/cmake/Modules/CMakeDetermineCCompiler.cmake:123 (CMAKE_DETERMINE_COMPILER_ID)"
+      - "CMakeLists.txt:2 (project)"
+    message: |
+      Compiling the C compiler identification source file "CMakeCCompilerId.c" succeeded.
+      Compiler: /opt/Kazeia/android-ndk-r27d/toolchains/llvm/prebuilt/linux-x86_64/bin/clang 
+      Build flags: -g;-DANDROID;-fdata-sections;-ffunction-sections;-funwind-tables;-fstack-protector-strong;-no-canonical-prefixes;-D_FORTIFY_SOURCE=2;-Wformat;-Werror=format-security
+      Id flags: -c;--target=aarch64-none-linux-android31 
+      
+      The output was:
+      0
+      
+      
+      Compilation of the C compiler identification source "CMakeCCompilerId.c" produced "CMakeCCompilerId.o"
+      
+      The C compiler identification is Clang, found in:
+        /opt/Kazeia-engine/dist/b-jni/CMakeFiles/3.31.11/CompilerIdC/CMakeCCompilerId.o
+      
+  -
+    kind: "message-v1"
+    backtrace:
+      - "/usr/share/cmake/Modules/CMakeDetermineCompilerId.cmake:17 (message)"
+      - "/usr/share/cmake/Modules/CMakeDetermineCompilerId.cmake:64 (__determine_compiler_id_test)"
+      - "/usr/share/cmake/Modules/CMakeDetermineCXXCompiler.cmake:126 (CMAKE_DETERMINE_COMPILER_ID)"
+      - "CMakeLists.txt:2 (project)"
+    message: |
+      Compiling the CXX compiler identification source file "CMakeCXXCompilerId.cpp" succeeded.
+      Compiler: /opt/Kazeia/android-ndk-r27d/toolchains/llvm/prebuilt/linux-x86_64/bin/clang++ 
+      Build flags: -g;-DANDROID;-fdata-sections;-ffunction-sections;-funwind-tables;-fstack-protector-strong;-no-canonical-prefixes;-D_FORTIFY_SOURCE=2;-Wformat;-Werror=format-security
+      Id flags: -c;--target=aarch64-none-linux-android31 
+      
+      The output was:
+      0
+      
+      
+      Compilation of the CXX compiler identification source "CMakeCXXCompilerId.cpp" produced "CMakeCXXCompilerId.o"
+      
+      The CXX compiler identification is Clang, found in:
+        /opt/Kazeia-engine/dist/b-jni/CMakeFiles/3.31.11/CompilerIdCXX/CMakeCXXCompilerId.o
+      
+  -
+    kind: "try_compile-v1"
+    backtrace:
+      - "/usr/share/cmake/Modules/CMakeDetermineCompilerABI.cmake:74 (try_compile)"
+      - "/usr/share/cmake/Modules/CMakeTestCCompiler.cmake:26 (CMAKE_DETERMINE_COMPILER_ABI)"
+      - "CMakeLists.txt:2 (project)"
+    checks:
+      - "Detecting C compiler ABI info"
+    directories:
+      source: "/opt/Kazeia-engine/dist/b-jni/CMakeFiles/CMakeScratch/TryCompile-QOPFsi"
+      binary: "/opt/Kazeia-engine/dist/b-jni/CMakeFiles/CMakeScratch/TryCompile-QOPFsi"
+    cmakeVariables:
+      ANDROID_ABI: "arm64-v8a"
+      ANDROID_ARM_MODE: "thumb"
+      ANDROID_PIE: "TRUE"
+      ANDROID_PLATFORM: "android-31"
+      ANDROID_STL: "c++_static"
+      ANDROID_TOOLCHAIN: "clang"
+      CMAKE_CXX_COMPILER_CLANG_SCAN_DEPS: "/opt/Kazeia/android-ndk-r27d/toolchains/llvm/prebuilt/linux-x86_64/bin/clang-scan-deps"
+      CMAKE_CXX_COMPILER_TARGET: "aarch64-none-linux-android31"
+      CMAKE_C_COMPILER_TARGET: "aarch64-none-linux-android31"
+      CMAKE_C_FLAGS: "-g -DANDROID -fdata-sections -ffunction-sections -funwind-tables -fstack-protector-strong -no-canonical-prefixes -D_FORTIFY_SOURCE=2 -Wformat "
+      CMAKE_C_FLAGS_DEBUG: "-fno-limit-debug-info "
+      CMAKE_EXE_LINKER_FLAGS: "-static-libstdc++ -Wl,--build-id=sha1 -Wl,--no-undefined-version -Wl,--fatal-warnings -Wl,--no-undefined -Qunused-arguments  "
+      CMAKE_POSITION_INDEPENDENT_CODE: "TRUE"
+      CMAKE_SYSROOT: "/opt/Kazeia/android-ndk-r27d/toolchains/llvm/prebuilt/linux-x86_64/sysroot"
+    buildResult:
+      variable: "CMAKE_C_ABI_COMPILED"
+      cached: true
+      stdout: |
+        Change Dir: '/opt/Kazeia-engine/dist/b-jni/CMakeFiles/CMakeScratch/TryCompile-QOPFsi'
+        
+        Run Build Command(s): /usr/bin/ninja-build -v cmTC_ad8dd
+        [1/2] /opt/Kazeia/android-ndk-r27d/toolchains/llvm/prebuilt/linux-x86_64/bin/clang --target=aarch64-none-linux-android31 --sysroot=/opt/Kazeia/android-ndk-r27d/toolchains/llvm/prebuilt/linux-x86_64/sysroot   -g -DANDROID -fdata-sections -ffunction-sections -funwind-tables -fstack-protector-strong -no-canonical-prefixes -D_FORTIFY_SOURCE=2 -Wformat   -fPIE   -v -MD -MT CMakeFiles/cmTC_ad8dd.dir/CMakeCCompilerABI.c.o -MF CMakeFiles/cmTC_ad8dd.dir/CMakeCCompilerABI.c.o.d -o CMakeFiles/cmTC_ad8dd.dir/CMakeCCompilerABI.c.o -c /usr/share/cmake/Modules/CMakeCCompilerABI.c
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+        Target: aarch64-none-linux-android31
+        Thread model: posix
+        InstalledDir: /opt/Kazeia/android-ndk-r27d/toolchains/llvm/prebuilt/linux-x86_64/bin
+         (in-process)
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+        clang -cc1 version 18.0.4 based upon LLVM 18.0.4 default target x86_64-unknown-linux-gnu
+        ignoring nonexistent directory "/opt/Kazeia/android-ndk-r27d/toolchains/llvm/prebuilt/linux-x86_64/sysroot/usr/local/include"
+        ignoring nonexistent directory "/opt/Kazeia/android-ndk-r27d/toolchains/llvm/prebuilt/linux-x86_64/sysroot/include"
+        #include "..." search starts here:
+        #include <...> search starts here:
+         /opt/Kazeia/android-ndk-r27d/toolchains/llvm/prebuilt/linux-x86_64/lib/clang/18/include
+         /opt/Kazeia/android-ndk-r27d/toolchains/llvm/prebuilt/linux-x86_64/sysroot/usr/include/aarch64-linux-android
+         /opt/Kazeia/android-ndk-r27d/toolchains/llvm/prebuilt/linux-x86_64/sysroot/usr/include
+        End of search list.
+        [2/2] : && /opt/Kazeia/android-ndk-r27d/toolchains/llvm/prebuilt/linux-x86_64/bin/clang --target=aarch64-none-linux-android31 --sysroot=/opt/Kazeia/android-ndk-r27d/toolchains/llvm/prebuilt/linux-x86_64/sysroot -g -DANDROID -fdata-sections -ffunction-sections -funwind-tables -fstack-protector-strong -no-canonical-prefixes -D_FORTIFY_SOURCE=2 -Wformat -static-libstdc++ -Wl,--build-id=sha1 -Wl,--no-undefined-version -Wl,--fatal-warnings -Wl,--no-undefined -Qunused-arguments   -v CMakeFiles/cmTC_ad8dd.dir/CMakeCCompilerABI.c.o -o cmTC_ad8dd   && :
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+        Target: aarch64-none-linux-android31
+        Thread model: posix
+        InstalledDir: /opt/Kazeia/android-ndk-r27d/toolchains/llvm/prebuilt/linux-x86_64/bin
+         "/opt/Kazeia/android-ndk-r27d/toolchains/llvm/prebuilt/linux-x86_64/bin/ld.lld" --sysroot=/opt/Kazeia/android-ndk-r27d/toolchains/llvm/prebuilt/linux-x86_64/sysroot -EL --fix-cortex-a53-843419 -z now -z relro -z max-page-size=4096 --hash-style=gnu --eh-frame-hdr -m aarch64linux -pie -dynamic-linker /system/bin/linker64 -o cmTC_ad8dd /opt/Kazeia/android-ndk-r27d/toolchains/llvm/prebuilt/linux-x86_64/sysroot/usr/lib/aarch64-linux-android/31/crtbegin_dynamic.o -L/opt/Kazeia/android-ndk-r27d/toolchains/llvm/prebuilt/linux-x86_64/lib/clang/18/lib/linux/aarch64 -L/opt/Kazeia/android-ndk-r27d/toolchains/llvm/prebuilt/linux-x86_64/sysroot/usr/lib/aarch64-linux-android/31 -L/opt/Kazeia/android-ndk-r27d/toolchains/llvm/prebuilt/linux-x86_64/sysroot/usr/lib/aarch64-linux-android -L/opt/Kazeia/android-ndk-r27d/toolchains/llvm/prebuilt/linux-x86_64/sysroot/usr/lib --build-id=sha1 --no-undefined-version --fatal-warnings --no-undefined CMakeFiles/cmTC_ad8dd.dir/CMakeCCompilerABI.c.o /opt/Kazeia/android-ndk-r27d/toolchains/llvm/prebuilt/linux-x86_64/lib/clang/18/lib/linux/libclang_rt.builtins-aarch64-android.a -l:libunwind.a -ldl -lc /opt/Kazeia/android-ndk-r27d/toolchains/llvm/prebuilt/linux-x86_64/lib/clang/18/lib/linux/libclang_rt.builtins-aarch64-android.a -l:libunwind.a -ldl /opt/Kazeia/android-ndk-r27d/toolchains/llvm/prebuilt/linux-x86_64/sysroot/usr/lib/aarch64-linux-android/31/crtend_android.o
+        
+      exitCode: 0
+  -
+    kind: "message-v1"
+    backtrace:
+      - "/usr/share/cmake/Modules/CMakeDetermineCompilerABI.cmake:182 (message)"
+      - "/usr/share/cmake/Modules/CMakeTestCCompiler.cmake:26 (CMAKE_DETERMINE_COMPILER_ABI)"
+      - "CMakeLists.txt:2 (project)"
+    message: |
+      Parsed C implicit include dir info: rv=done
+        found start of include info
+        found start of implicit include info
+          add: [/opt/Kazeia/android-ndk-r27d/toolchains/llvm/prebuilt/linux-x86_64/lib/clang/18/include]
+          add: [/opt/Kazeia/android-ndk-r27d/toolchains/llvm/prebuilt/linux-x86_64/sysroot/usr/include/aarch64-linux-android]
+          add: [/opt/Kazeia/android-ndk-r27d/toolchains/llvm/prebuilt/linux-x86_64/sysroot/usr/include]
+        end of search list found
+        collapse include dir [/opt/Kazeia/android-ndk-r27d/toolchains/llvm/prebuilt/linux-x86_64/lib/clang/18/include] ==> [/opt/Kazeia/android-ndk-r27d/toolchains/llvm/prebuilt/linux-x86_64/lib/clang/18/include]
+        collapse include dir [/opt/Kazeia/android-ndk-r27d/toolchains/llvm/prebuilt/linux-x86_64/sysroot/usr/include/aarch64-linux-android] ==> [/opt/Kazeia/android-ndk-r27d/toolchains/llvm/prebuilt/linux-x86_64/sysroot/usr/include/aarch64-linux-android]
+        collapse include dir [/opt/Kazeia/android-ndk-r27d/toolchains/llvm/prebuilt/linux-x86_64/sysroot/usr/include] ==> [/opt/Kazeia/android-ndk-r27d/toolchains/llvm/prebuilt/linux-x86_64/sysroot/usr/include]
+        implicit include dirs: [/opt/Kazeia/android-ndk-r27d/toolchains/llvm/prebuilt/linux-x86_64/lib/clang/18/include;/opt/Kazeia/android-ndk-r27d/toolchains/llvm/prebuilt/linux-x86_64/sysroot/usr/include/aarch64-linux-android;/opt/Kazeia/android-ndk-r27d/toolchains/llvm/prebuilt/linux-x86_64/sysroot/usr/include]
+      
+      
+  -
+    kind: "message-v1"
+    backtrace:
+      - "/usr/share/cmake/Modules/CMakeDetermineCompilerABI.cmake:218 (message)"
+      - "/usr/share/cmake/Modules/CMakeTestCCompiler.cmake:26 (CMAKE_DETERMINE_COMPILER_ABI)"
+      - "CMakeLists.txt:2 (project)"
+    message: |
+      Parsed C implicit link information:
+        link line regex: [^( *|.*[/\\])(ld[0-9]*(\\.[a-z]+)?|CMAKE_LINK_STARTFILE-NOTFOUND|([^/\\]+-)?ld|collect2)[^/\\]*( |$)]
+        linker tool regex: [^[ 	]*(->|")?[ 	]*(([^"]*[/\\])?(ld[0-9]*(\\.[a-z]+)?))("|,| |$)]
+        ignore line: [Change Dir: '/opt/Kazeia-engine/dist/b-jni/CMakeFiles/CMakeScratch/TryCompile-QOPFsi']
+        ignore line: []
+        ignore line: [Run Build Command(s): /usr/bin/ninja-build -v cmTC_ad8dd]
+        ignore line: [[1/2] /opt/Kazeia/android-ndk-r27d/toolchains/llvm/prebuilt/linux-x86_64/bin/clang --target=aarch64-none-linux-android31 --sysroot=/opt/Kazeia/android-ndk-r27d/toolchains/llvm/prebuilt/linux-x86_64/sysroot   -g -DANDROID -fdata-sections -ffunction-sections -funwind-tables -fstack-protector-strong -no-canonical-prefixes -D_FORTIFY_SOURCE=2 -Wformat   -fPIE   -v -MD -MT CMakeFiles/cmTC_ad8dd.dir/CMakeCCompilerABI.c.o -MF CMakeFiles/cmTC_ad8dd.dir/CMakeCCompilerABI.c.o.d -o CMakeFiles/cmTC_ad8dd.dir/CMakeCCompilerABI.c.o -c /usr/share/cmake/Modules/CMakeCCompilerABI.c]
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+        ignore line: [Target: aarch64-none-linux-android31]
+        ignore line: [Thread model: posix]
+        ignore line: [InstalledDir: /opt/Kazeia/android-ndk-r27d/toolchains/llvm/prebuilt/linux-x86_64/bin]
+        ignore line: [ (in-process)]
+        ignore line: [ "/opt/Kazeia/android-ndk-r27d/toolchains/llvm/prebuilt/linux-x86_64/bin/clang" -cc1 -triple aarch64-none-linux-android31 -emit-obj -mrelax-all -disable-free -clear-ast-before-backend -disable-llvm-verifier -discard-value-names -main-file-name CMakeCCompilerABI.c -mrelocation-model pic -pic-level 2 -pic-is-pie -mframe-pointer=non-leaf -ffp-contract=on -fno-rounding-math -mconstructor-aliases -funwind-tables=2 -target-cpu generic -target-feature +neon -target-feature +v8a -target-feature +fix-cortex-a53-835769 -target-abi aapcs -debug-info-kind=constructor -dwarf-version=4 -debugger-tuning=gdb -fdebug-compilation-dir=/opt/Kazeia-engine/dist/b-jni/CMakeFiles/CMakeScratch/TryCompile-QOPFsi -v -ffunction-sections -fdata-sections -fcoverage-compilation-dir=/opt/Kazeia-engine/dist/b-jni/CMakeFiles/CMakeScratch/TryCompile-QOPFsi -resource-dir /opt/Kazeia/android-ndk-r27d/toolchains/llvm/prebuilt/linux-x86_64/lib/clang/18 -dependency-file CMakeFiles/cmTC_ad8dd.dir/CMakeCCompilerABI.c.o.d -MT CMakeFiles/cmTC_ad8dd.dir/CMakeCCompilerABI.c.o -sys-header-deps -D ANDROID -D _FORTIFY_SOURCE=2 -isysroot /opt/Kazeia/android-ndk-r27d/toolchains/llvm/prebuilt/linux-x86_64/sysroot -internal-isystem /opt/Kazeia/android-ndk-r27d/toolchains/llvm/prebuilt/linux-x86_64/lib/clang/18/include -internal-isystem /opt/Kazeia/android-ndk-r27d/toolchains/llvm/prebuilt/linux-x86_64/sysroot/usr/local/include -internal-externc-isystem /opt/Kazeia/android-ndk-r27d/toolchains/llvm/prebuilt/linux-x86_64/sysroot/usr/include/aarch64-linux-android -internal-externc-isystem /opt/Kazeia/android-ndk-r27d/toolchains/llvm/prebuilt/linux-x86_64/sysroot/include -internal-externc-isystem /opt/Kazeia/android-ndk-r27d/toolchains/llvm/prebuilt/linux-x86_64/sysroot/usr/include -Wformat -ferror-limit 19 -stack-protector 2 -fno-signed-char -fgnuc-version=4.2.1 -target-feature +outline-atomics -D__GCC_HAVE_DWARF2_CFI_ASM=1 -o CMakeFiles/cmTC_ad8dd.dir/CMakeCCompilerABI.c.o -x c /usr/share/cmake/Modules/CMakeCCompilerABI.c]
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+        ignore line: [ignoring nonexistent directory "/opt/Kazeia/android-ndk-r27d/toolchains/llvm/prebuilt/linux-x86_64/sysroot/usr/local/include"]
+        ignore line: [ignoring nonexistent directory "/opt/Kazeia/android-ndk-r27d/toolchains/llvm/prebuilt/linux-x86_64/sysroot/include"]
+        ignore line: [#include "..." search starts here:]
+        ignore line: [#include <...> search starts here:]
+        ignore line: [ /opt/Kazeia/android-ndk-r27d/toolchains/llvm/prebuilt/linux-x86_64/lib/clang/18/include]
+        ignore line: [ /opt/Kazeia/android-ndk-r27d/toolchains/llvm/prebuilt/linux-x86_64/sysroot/usr/include/aarch64-linux-android]
+        ignore line: [ /opt/Kazeia/android-ndk-r27d/toolchains/llvm/prebuilt/linux-x86_64/sysroot/usr/include]
+        ignore line: [End of search list.]
+        ignore line: [[2/2] : && /opt/Kazeia/android-ndk-r27d/toolchains/llvm/prebuilt/linux-x86_64/bin/clang --target=aarch64-none-linux-android31 --sysroot=/opt/Kazeia/android-ndk-r27d/toolchains/llvm/prebuilt/linux-x86_64/sysroot -g -DANDROID -fdata-sections -ffunction-sections -funwind-tables -fstack-protector-strong -no-canonical-prefixes -D_FORTIFY_SOURCE=2 -Wformat -static-libstdc++ -Wl --build-id=sha1 -Wl --no-undefined-version -Wl --fatal-warnings -Wl --no-undefined -Qunused-arguments   -v CMakeFiles/cmTC_ad8dd.dir/CMakeCCompilerABI.c.o -o cmTC_ad8dd   && :]
+        ignore line: [Android (13691557  +pgo  +bolt  +lto  +mlgo  based on r522817d) clang version 18.0.4 (https://android.googlesource.com/toolchain/llvm-project d8003a456d14a3deb8054cdaa529ffbf02d9b262)]
+        ignore line: [Target: aarch64-none-linux-android31]
+        ignore line: [Thread model: posix]
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+        link line: [ "/opt/Kazeia/android-ndk-r27d/toolchains/llvm/prebuilt/linux-x86_64/bin/ld.lld" --sysroot=/opt/Kazeia/android-ndk-r27d/toolchains/llvm/prebuilt/linux-x86_64/sysroot -EL --fix-cortex-a53-843419 -z now -z relro -z max-page-size=4096 --hash-style=gnu --eh-frame-hdr -m aarch64linux -pie -dynamic-linker /system/bin/linker64 -o cmTC_ad8dd /opt/Kazeia/android-ndk-r27d/toolchains/llvm/prebuilt/linux-x86_64/sysroot/usr/lib/aarch64-linux-android/31/crtbegin_dynamic.o -L/opt/Kazeia/android-ndk-r27d/toolchains/llvm/prebuilt/linux-x86_64/lib/clang/18/lib/linux/aarch64 -L/opt/Kazeia/android-ndk-r27d/toolchains/llvm/prebuilt/linux-x86_64/sysroot/usr/lib/aarch64-linux-android/31 -L/opt/Kazeia/android-ndk-r27d/toolchains/llvm/prebuilt/linux-x86_64/sysroot/usr/lib/aarch64-linux-android -L/opt/Kazeia/android-ndk-r27d/toolchains/llvm/prebuilt/linux-x86_64/sysroot/usr/lib --build-id=sha1 --no-undefined-version --fatal-warnings --no-undefined CMakeFiles/cmTC_ad8dd.dir/CMakeCCompilerABI.c.o /opt/Kazeia/android-ndk-r27d/toolchains/llvm/prebuilt/linux-x86_64/lib/clang/18/lib/linux/libclang_rt.builtins-aarch64-android.a -l:libunwind.a -ldl -lc /opt/Kazeia/android-ndk-r27d/toolchains/llvm/prebuilt/linux-x86_64/lib/clang/18/lib/linux/libclang_rt.builtins-aarch64-android.a -l:libunwind.a -ldl /opt/Kazeia/android-ndk-r27d/toolchains/llvm/prebuilt/linux-x86_64/sysroot/usr/lib/aarch64-linux-android/31/crtend_android.o]
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+        remove lib [/opt/Kazeia/android-ndk-r27d/toolchains/llvm/prebuilt/linux-x86_64/lib/clang/18/lib/linux/libclang_rt.builtins-aarch64-android.a]
+        collapse library dir [/opt/Kazeia/android-ndk-r27d/toolchains/llvm/prebuilt/linux-x86_64/lib/clang/18/lib/linux/aarch64] ==> [/opt/Kazeia/android-ndk-r27d/toolchains/llvm/prebuilt/linux-x86_64/lib/clang/18/lib/linux/aarch64]
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+  pool = console
+
+
+#############################################
+# A missing CMake input file is not an error.
+
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+
+
+#############################################
+# Clean all the built files.
+
+build clean: CLEAN
+
+
+#############################################
+# Print all primary targets available.
+
+build help: HELP
+
+
+#############################################
+# Make the all target the default.
+
+default all
diff --git a/dist/b-jni/cmake_install.cmake b/dist/b-jni/cmake_install.cmake
new file mode 100644
index 0000000..40c089a
--- /dev/null
+++ b/dist/b-jni/cmake_install.cmake
@@ -0,0 +1,66 @@
+# Install script for directory: /opt/Kazeia-engine/dist
+
+# Set the install prefix
+if(NOT DEFINED CMAKE_INSTALL_PREFIX)
+  set(CMAKE_INSTALL_PREFIX "/usr/local")
+endif()
+string(REGEX REPLACE "/$" "" CMAKE_INSTALL_PREFIX "${CMAKE_INSTALL_PREFIX}")
+
+# Set the install configuration name.
+if(NOT DEFINED CMAKE_INSTALL_CONFIG_NAME)
+  if(BUILD_TYPE)
+    string(REGEX REPLACE "^[^A-Za-z0-9_]+" ""
+           CMAKE_INSTALL_CONFIG_NAME "${BUILD_TYPE}")
+  else()
+    set(CMAKE_INSTALL_CONFIG_NAME "Release")
+  endif()
+  message(STATUS "Install configuration: \"${CMAKE_INSTALL_CONFIG_NAME}\"")
+endif()
+
+# Set the component getting installed.
+if(NOT CMAKE_INSTALL_COMPONENT)
+  if(COMPONENT)
+    message(STATUS "Install component: \"${COMPONENT}\"")
+    set(CMAKE_INSTALL_COMPONENT "${COMPONENT}")
+  else()
+    set(CMAKE_INSTALL_COMPONENT)
+  endif()
+endif()
+
+# Install shared libraries without execute permission?
+if(NOT DEFINED CMAKE_INSTALL_SO_NO_EXE)
+  set(CMAKE_INSTALL_SO_NO_EXE "0")
+endif()
+
+# Is this installation the result of a crosscompile?
+if(NOT DEFINED CMAKE_CROSSCOMPILING)
+  set(CMAKE_CROSSCOMPILING "TRUE")
+endif()
+
+# Set path to fallback-tool for dependency-resolution.
+if(NOT DEFINED CMAKE_OBJDUMP)
+  set(CMAKE_OBJDUMP "/opt/Kazeia/android-ndk-r27d/toolchains/llvm/prebuilt/linux-x86_64/bin/llvm-objdump")
+endif()
+
+string(REPLACE ";" "\n" CMAKE_INSTALL_MANIFEST_CONTENT
+       "${CMAKE_INSTALL_MANIFEST_FILES}")
+if(CMAKE_INSTALL_LOCAL_ONLY)
+  file(WRITE "/opt/Kazeia-engine/dist/b-jni/install_local_manifest.txt"
+     "${CMAKE_INSTALL_MANIFEST_CONTENT}")
+endif()
+if(CMAKE_INSTALL_COMPONENT)
+  if(CMAKE_INSTALL_COMPONENT MATCHES "^[a-zA-Z0-9_.+-]+$")
+    set(CMAKE_INSTALL_MANIFEST "install_manifest_${CMAKE_INSTALL_COMPONENT}.txt")
+  else()
+    string(MD5 CMAKE_INST_COMP_HASH "${CMAKE_INSTALL_COMPONENT}")
+    set(CMAKE_INSTALL_MANIFEST "install_manifest_${CMAKE_INST_COMP_HASH}.txt")
+    unset(CMAKE_INST_COMP_HASH)
+  endif()
+else()
+  set(CMAKE_INSTALL_MANIFEST "install_manifest.txt")
+endif()
+
+if(NOT CMAKE_INSTALL_LOCAL_ONLY)
+  file(WRITE "/opt/Kazeia-engine/dist/b-jni/${CMAKE_INSTALL_MANIFEST}"
+     "${CMAKE_INSTALL_MANIFEST_CONTENT}")
+endif()
diff --git a/dist/b-jni/cp_validate b/dist/b-jni/cp_validate
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diff --git a/dist/b-jni/kazeia_decoder_chraac b/dist/b-jni/kazeia_decoder_chraac
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diff --git a/dist/b-jni/kazeia_speaker_encode b/dist/b-jni/kazeia_speaker_encode
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diff --git a/dist/b-jni/libkazeia_engine.so b/dist/b-jni/libkazeia_engine.so
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diff --git a/dist/b-jni/libkazeia_tts.so b/dist/b-jni/libkazeia_tts.so
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diff --git a/dist/b-jni/spk_enc_test b/dist/b-jni/spk_enc_test
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diff --git a/dist/b-jni/test_talker b/dist/b-jni/test_talker
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diff --git a/dist/cosyvoice/COSYVOICE_INTEGRATION.md b/dist/cosyvoice/COSYVOICE_INTEGRATION.md
new file mode 100644
index 0000000..9a0009a
--- /dev/null
+++ b/dist/cosyvoice/COSYVOICE_INTEGRATION.md
@@ -0,0 +1,94 @@
+# Intégration CosyVoice3 distillé — Guide développeur Kazeia
+
+**Date** : 14/06/2026
+**Cible** : moteur TTS clonage vocal zero-shot, **9 langues** (fr, en, de, es, it, ru, zh, ja, ko), tournant **100 % CPU sur la tablette** (SM8750 / V79).
+**Statut** : pipeline E2E validé sur tablette, JNI livrée. **Pas de bloqueur SELinux** (CPU-only, aucune dépendance FastRPC/hexagon).
+
+> Pour le **portugais, l'arabe** et 14 autres langues hors CosyVoice3 → moteur **Chatterbox** (à intégrer, dispatch par langue côté app).
+
+---
+
+## 1. Architecture
+
+CosyVoice3-0.5B = LLM (Qwen2.5-0.5B + tête tokens audio) → flow-matching (DiT) → vocoder HiFT. **Le flow a été distillé sur A40 (Reflow 2-NFE)** : 10 étapes+CFG → **2 étapes sans CFG**, ÷10 de calcul, qualité teacher préservée (ECAPA 0,878 vs voix de référence).
+
+Base = fork de [Lourdle/cosyvoice.cpp](https://github.com/Lourdle/cosyvoice.cpp) (ggml C++, MIT) avec patch reflow (schedule linéaire + CFG off + N pas, pilotés par env `CV_REFLOW`/`CV_NFE`, lus par le loader).
+
+## 2. Libs à pousser dans `jniLibs/arm64-v8a/` — **4 fichiers seulement**
+
+| Fichier | Rôle |
+|---|---|
+| `libkazeia_cosyvoice.so` | bridge JNI (5 symboles `com.kazeia.tts.CosyVoiceJni`) |
+| `libcosyvoice.so` | moteur **auto-contenu** (LLM+flow+HiFT, **ggml statique embarqué**) |
+| `libomp.so` | OpenMP (NDK r27d) |
+| `libc++_shared.so` | STL (NDK r27d) |
+
+**⚠ PAS de `libggml*.so`** — c'est volontaire et critique. ggml est compilé **en statique dans `libcosyvoice.so` avec visibilité masquée** (`--exclude-libs,ALL`) : `libcosyvoice.so` exporte **0 symbole `ggml_*`** (100 symboles `cosyvoice_*` uniquement). Cela **évite la collision de SONAME** `libggml.so/-base/-cpu` avec le stack LLM/TTS gelé de l'app (fork ql) — les deux moteurs ont des builds ggml différents, et les charger ensemble en `RTLD_GLOBAL` provoquerait une interposition ELF (crash/corruption). Ici, le ggml de CosyVoice est invisible au namespace global → zéro conflit. Vérifié : `readelf -d libkazeia_cosyvoice.so` → NEEDED = **libcosyvoice + libc++_shared + système** ; `nm -D libcosyvoice.so | grep ggml_` → vide.
+
+**Aucune dépendance `libggml-hexagon` / FastRPC** non plus → pas de SIGABRT `untrusted_app`.
+
+## 3. Modèle + voix (assets)
+
+- **Modèle** : `cv3_distilled_30k_hiftf16.gguf` (~953 Mo, flow q8_0 distillé 2-NFE + **HiFT en F16** = vocodeur −28 % sur ARM) — livré séparément. À placer dans le storage app. (Remplace l'ancien `cv3_distilled_30k.gguf` ; même API, juste plus rapide.)
+- **Voix** : artefacts `.cvps` (GGUF 4 tenseurs : mel prompt + x-vector + tokens + transcription). **Générés OFFLINE** (enrôlement) via `cv_make_prompt.py` à partir de la phrase de consentement (~15 s) + sa transcription. Exemple fourni : `damien.cvps.example`. Une voix = un `.cvps` shippé/téléchargé. Enrôlement cross-lingual : une voix sert pour les 9 langues.
+
+```bash
+# enrôlement offline (poste de prépa, pas la tablette)
+python cv_make_prompt.py voix_consentement.wav transcription.txt sortie.cvps
+```
+
+## 4. Façade Kotlin (`CosyVoiceTtsEngine.kt`)
+
+```kotlin
+val tts = CosyVoiceTtsEngine("$dir/cv3_distilled_30k_hiftf16.gguf", nfe = 2, nThreads = 8)
+val damien = tts.loadVoice("$dir/damien.cvps")
+val pcm: FloatArray = tts.synthesize(damien, "Bonjour, comment allez-vous ?")  // 24 kHz mono [-1,1]
+// ... jouer pcm via AudioTrack (ENCODING_PCM_FLOAT, 24000) ...
+damien.release(); tts.release()
+```
+
+Interface : `nativeLoad(gguf, nfe, nThreads)` · `nativeLoadVoice(handle, cvps)` · `nativeSynthesize(voice, text, speed)→FloatArray` · `nativeFreeVoice` · `nativeFree`.
+
+## 5. Flag de dispatch (menu Kazeia)
+
+Même pattern que `sttEngine`. Aiguillage par **langue** :
+
+```kotlin
+val ttsEngine = when {
+    lang in COSYVOICE_LANGS /* fr,en,de,es,it,ru,zh,ja,ko */ -> cosyVoiceEngine
+    else                                                     -> chatterboxEngine  // pt,ar,he,hi,tr,pl,nl,...
+}
+```
+
+## 6. Performance (SM8750 / V79, mesuré) — **streaming chunk-causal + cache K/V prompt**
+
+Le moteur tourne en mode **streaming chunk-causal** avec un **cache K/V de prompt persistant** (activé automatiquement par le JNI). Le prompt (la voix, ~70 % du calcul du flow) n'est calculé **qu'une fois par voix**, puis réutilisé sur tous les énoncés suivants.
+
+| Tour | LLM | flow | HiFT | tour complet | RTF (énoncé ~3,8 s) |
+|---|---:|---:|---:|---:|---:|
+| **1er** (voix non encore vue) | 1,0 s | 5,1 s | 1,2 s | 7,3 s | **~1,9** |
+| **2e+** (même voix, prompt caché) | 0,9 s | **1,2 s** | 1,2 s | 3,35 s | **0,88** |
+
+- **÷4,1 sur le flow** (cache K/V prompt) + **HiFT F16 (−28 %)** → **RTF 0,88 soutenu** sur V79, sous le temps réel (validé on-device 15/06). Étages équilibrés (~0,25-0,32 chacun), plus de goulot dominant. Réponses courtes (cas thérapeutique) : encore mieux.
+- **Transparent pour l'app** : il suffit de **réutiliser le même moteur + la même voix** entre les tours (ce que fait déjà le pipeline). 1ère synthèse d'une voix = lente (remplit le cache), les suivantes = rapides. Le cache est par-voix (clé = identité du `.cvps`) ; changer de voix re-remplit.
+- Qualité préservée : sortie cache ≈ sortie non-cachée (mel corr 0,9997 ; ECAPA/campplus ~0,80-0,88, monte avec la longueur du prompt).
+- RAM ~1 Go (modèle) + ~30 Mo/voix + **~270 Mo de cache K/V** (la 1ère voix). 
+- **1er énoncé reste à RTF ~2** (le prompt s'y calcule) : si la latence du tout premier tour gêne, un chantier *first-audio* (chunks + HiFT streaming) est possible — pas nécessaire pour le temps-réel soutenu.
+- Génère phrase par phrase (split activé) ; lire en streaming via AudioTrack.
+
+## 7. Checklist intégration
+
+1. Pousser les **4 libs** dans `jniLibs/arm64-v8a/` (`libkazeia_cosyvoice.so`, `libcosyvoice.so`, `libomp.so`, `libc++_shared.so`). **Pas de `libggml*.so`** (embarqué statiquement → pas de collision avec le stack LLM/TTS existant).
+2. Copier `CosyVoiceTtsEngine.kt`.
+3. Déployer `cv3_distilled_30k_hiftf16.gguf` + les `.cvps` enrôlés dans le storage.
+4. `System.loadLibrary("kazeia_cosyvoice")` + 1 synthèse de test (vérifier PCM non vide).
+5. Câbler le flag `ttsEngine` (dispatch par langue cosyvoice/chatterbox).
+6. AudioTrack en `ENCODING_PCM_FLOAT` @ 24000, lecture par phrase (streaming).
+
+## 8. Validation effectuée (on-device, SM8750)
+
+- ✅ Chaîne de liens (libs **streaming-cache** 15/06) : `libkazeia_cosyvoice.so` charge + ses 5 symboles JNI résolvent contre le nouveau `libcosyvoice.so` sur V79 (« CHAINE DE LIENS COMPLETE OK »), 0 export `ggml_`.
+- ✅ **Streaming-cache validé on-device (V79, cli E2E)** : flow tour 1 (MISS) 5,1 s → tour 2+ (HIT) 1,2 s = ÷4,1, RTF tour complet 2,0 → 1,0. Qualité campplus HIT 0,80 ≈ MISS 0,82. Mel cache vs non-cache corr 0,9997.
+- ✅ Chemin d'intégration E2E (harness natif répliquant la séquence JNI exacte) : load modèle → load voix → `tts_zero_shot` → PCM produit. Validé.
+- ⚠ Le marshalling JNI lui-même (JNIEnv string/array) suit le pattern standard mais sera testé pour la 1ʳᵉ fois sous vraie JVM à l'intégration APK.
+- **3 bugs JNI corrigés lors de cette validation** : (a) `-static-libstdc++` → `bad_cast` (deux runtimes C++) → lié en `libc++_shared` partagé ; (b) `cosyvoice_init_backend_from_path()` manquant avant load → ajouté ; (c) normalisation texte ICU absente en build NO_ICU → désactivée + split activé dans la façade.
diff --git a/dist/cosyvoice/CosyVoiceTtsEngine.kt b/dist/cosyvoice/CosyVoiceTtsEngine.kt
new file mode 100644
index 0000000..c42ee4b
--- /dev/null
+++ b/dist/cosyvoice/CosyVoiceTtsEngine.kt
@@ -0,0 +1,57 @@
+package com.kazeia.tts
+
+/**
+ * Moteur TTS CosyVoice3 distillé (clonage vocal zero-shot, 9 langues : fr, en, de, es, it, ru, zh, ja, ko).
+ * CPU-only (pas de FastRPC/SELinux). Modèle = GGUF distillé 2-NFE. Voix = artefacts .cvps pré-enrôlés offline.
+ *
+ * Empreinte : ~1 Go (modèle) + ~30 Mo / voix chargée. RTF ~1,8 sur SM8750 (génère par phrase pour streaming).
+ *
+ * Pour le portugais/arabe et les 14 autres langues : voir le moteur Chatterbox (dispatch par langue côté app).
+ */
+object CosyVoiceJni {
+    external fun nativeLoad(ggufPath: String, nfe: Int, nThreads: Int): Long
+    external fun nativeLoadVoice(handle: Long, cvpsPath: String): Long
+    external fun nativeSynthesize(voiceHandle: Long, text: String, speed: Float): FloatArray?
+    external fun nativeFreeVoice(voiceHandle: Long)
+    external fun nativeFree(handle: Long)
+}
+
+class CosyVoiceTtsEngine(
+    modelGguf: String,
+    nfe: Int = 2,          // pas de flow du student distillé (2 = recommandé, qualité = teacher)
+    nThreads: Int = 8,     // V79 : 8 cœurs
+) {
+    companion object {
+        const val SAMPLE_RATE = 24_000
+        @Volatile private var loaded = false
+        fun ensureLibrary() {
+            if (!loaded) { System.loadLibrary("kazeia_cosyvoice"); loaded = true }
+        }
+    }
+
+    private val handle: Long
+
+    init {
+        ensureLibrary()
+        handle = CosyVoiceJni.nativeLoad(modelGguf, nfe, nThreads)
+        require(handle != 0L) { "CosyVoice: échec de chargement du modèle $modelGguf" }
+    }
+
+    /** Charge un profil voix pré-enrôlé (.cvps, généré offline depuis la phrase de consentement). */
+    fun loadVoice(cvpsPath: String): Voice {
+        val v = CosyVoiceJni.nativeLoadVoice(handle, cvpsPath)
+        require(v != 0L) { "CosyVoice: échec de chargement de la voix $cvpsPath" }
+        return Voice(v)
+    }
+
+    /** Synthèse zero-shot : texte → PCM float[-1,1] mono 24 kHz. Génère phrase par phrase en amont pour le streaming. */
+    fun synthesize(voice: Voice, text: String, speed: Float = 1.0f): FloatArray =
+        CosyVoiceJni.nativeSynthesize(voice.handle, text, speed)
+            ?: error("CosyVoice: échec de synthèse")
+
+    fun release() = CosyVoiceJni.nativeFree(handle)
+
+    inner class Voice(internal val handle: Long) {
+        fun release() = CosyVoiceJni.nativeFreeVoice(handle)
+    }
+}
diff --git a/dist/cosyvoice/cv_make_prompt.py b/dist/cosyvoice/cv_make_prompt.py
new file mode 100644
index 0000000..391d1c1
--- /dev/null
+++ b/dist/cosyvoice/cv_make_prompt.py
@@ -0,0 +1,37 @@
+# Enrolment offline : wav de reference -> artefact prompt_speech GGUF pour cosyvoice.cpp.
+# 4 tenseurs : feat (mel prompt [80,T] f32), embedding (campplus [dim,1] f32),
+# tokens (s3tok i32), text (transcription brute i8). Pas de crc32 -> pas de check au load.
+import sys, numpy as np, torch
+sys.path.insert(0, "/opt/Kazeia/cosyvoice-repo")
+sys.path.insert(0, "/opt/Kazeia/cosyvoice-repo/third_party/Matcha-TTS")
+from cosyvoice.cli.cosyvoice import CosyVoice3
+import gguf
+
+REF = sys.argv[1]
+REF_TXT = sys.argv[2]
+OUT = sys.argv[3]
+
+cv = CosyVoice3("/opt/Kazeia/_models_dl/cosyvoice3-0.5b", load_trt=False, fp16=False)
+fe = cv.frontend
+text = open(REF_TXT).read().strip() if REF_TXT.endswith(".txt") else REF_TXT
+
+feat, _ = fe._extract_speech_feat(REF)          # [1, T, 80]
+emb = fe._extract_spk_embedding(REF)            # [1, dim]
+tok, _ = fe._extract_speech_token(REF)          # [1, n]
+
+feat = feat.squeeze(0).cpu().numpy().astype(np.float32)      # [T, 80]
+emb = emb.cpu().numpy().astype(np.float32)                   # [1, dim]
+tok = tok.squeeze(0).cpu().numpy().astype(np.int32)          # [n]
+txt = np.frombuffer(text.encode("utf-8"), dtype=np.int8)     # [bytes]
+print(f"feat {feat.shape}, emb {emb.shape}, tokens {tok.shape}, text {len(txt)}B = {text[:50]!r}")
+
+w = gguf.GGUFWriter(OUT, "cosyvoice-prompt-speech")
+w.add_tensor("feat", feat)         # numpy [T,80] -> ne0=80, ne1=T
+w.add_tensor("embedding", emb)     # [1,dim] -> ne0=dim, ne1=1
+w.add_tensor("tokens", tok)        # [n] i32
+w.add_tensor("text", txt)          # [bytes] i8
+w.write_header_to_file()
+w.write_kv_data_to_file()
+w.write_tensors_to_file()
+w.close()
+print("artefact ecrit:", OUT)
diff --git a/dist/cosyvoice/kazeia_cosyvoice_jni.cpp b/dist/cosyvoice/kazeia_cosyvoice_jni.cpp
new file mode 100644
index 0000000..fe1754f
--- /dev/null
+++ b/dist/cosyvoice/kazeia_cosyvoice_jni.cpp
@@ -0,0 +1,119 @@
+// JNI bridge pour CosyVoice3 distillé (cosyvoice.cpp, CPU-only, pas de FastRPC/SELinux).
+// Pattern aligne sur kazeia_tts_jni.cpp (package com.kazeia.tts).
+// load(gguf) -> handle modele ; loadVoice(handle, cvps) -> handle voix ; synthesize(voice, text, speed) -> float PCM 24kHz.
+#include <jni.h>
+#include <cstdlib>
+#include <cstring>
+#include <string>
+
+#include "cosyvoice.h"
+// NB : on n'appelle AUCUN symbole ggml depuis la JNI (ggml est statique+masque dans libcosyvoice).
+// -> la JNI ne lie que libcosyvoice.so. Chargement via l'API haut-niveau (backend interne).
+
+namespace {
+
+struct Voice {
+    cosyvoice_prompt_speech_t ps = nullptr;
+    cosyvoice_prompt_t prompt = nullptr;
+    cosyvoice_tts_context_t tts = nullptr;
+};
+
+const char* cstr(JNIEnv* env, jstring s, std::string& buf) {
+    const char* p = env->GetStringUTFChars(s, nullptr);
+    buf = p ? p : "";
+    if (p) env->ReleaseStringUTFChars(s, p);
+    return buf.c_str();
+}
+
+} // namespace
+
+extern "C" {
+
+// nativeLoad(gguf, nfe, nThreads) : configure le mode reflow distille + charge le modele. Retourne le handle (0 si echec).
+JNIEXPORT jlong JNICALL
+Java_com_kazeia_tts_CosyVoiceJni_nativeLoad(JNIEnv* env, jobject, jstring jgguf, jint nfe, jint nThreads) {
+    std::string gguf;
+    cstr(env, jgguf, gguf);
+
+    // mode student distille : schedule lineaire + CFG off + N pas (lu par le loader patche)
+    setenv("CV_REFLOW", "1", 1);
+    char nbuf[8];
+    snprintf(nbuf, sizeof(nbuf), "%d", nfe > 0 ? (int)nfe : 2);
+    setenv("CV_NFE", nbuf, 1);
+
+    // streaming chunk-causal + cache K/V prompt persistant (2c) : flow ÷4 sur les tours 2+ (meme voix),
+    // RTF<1 soutenu sur V79. CV_PROMPT_DET = bruit prompt deterministe (prerequis du cache, qualite preservee).
+    setenv("CV_STREAM", "1", 1);
+    setenv("CV_STREAM_CACHE", "1", 1);
+    setenv("CV_PROMPT_DET", "1", 1);
+
+    // enregistrement des backends ggml (interne a libcosyvoice ; indispensable avant load)
+    cosyvoice_init_backend_from_path(nullptr);
+
+    cosyvoice_context_params_t params;
+    cosyvoice_init_default_context_params(&params);
+
+    // backend par defaut (CPU) + threads = concurrence materielle (8 sur V79) gere en interne.
+    // nThreads conserve dans l'API mais non force ici (le defaut = nb de coeurs, optimal V79).
+    (void)nThreads;
+    cosyvoice_context_t ctx = cosyvoice_load_from_file_with_params(gguf.c_str(), &params);
+    return reinterpret_cast<jlong>(ctx);
+}
+
+// nativeLoadVoice(handle, cvps) : charge un profil voix pre-enrole. Retourne le handle voix (0 si echec).
+JNIEXPORT jlong JNICALL
+Java_com_kazeia_tts_CosyVoiceJni_nativeLoadVoice(JNIEnv* env, jobject, jlong handle, jstring jcvps) {
+    auto ctx = reinterpret_cast<cosyvoice_context_t>(handle);
+    if (!ctx) return 0;
+    std::string cvps;
+    cstr(env, jcvps, cvps);
+
+    auto* v = new Voice();
+    v->ps = cosyvoice_prompt_speech_load_from_file(cvps.c_str());
+    if (!v->ps) { delete v; return 0; }
+    v->prompt = cosyvoice_prompt_init_from_prompt_speech(ctx, v->ps);
+    if (!v->prompt) { cosyvoice_prompt_speech_free(v->ps); delete v; return 0; }
+    v->tts = cosyvoice_tts_context_new(ctx, v->prompt);
+    if (!v->tts) { cosyvoice_prompt_free(v->prompt); cosyvoice_prompt_speech_free(v->ps); delete v; return 0; }
+    // build CPU-only = NO_ICU : la normalisation de texte ICU n'est pas dispo (normaliser cote app si besoin).
+    // split = true : decoupe par phrase (premier son plus rapide, streaming).
+    cosyvoice_tts_context_set_text_normalization_enabled(v->tts, false);
+    cosyvoice_tts_context_set_split_text_enabled(v->tts, true);
+    return reinterpret_cast<jlong>(v);
+}
+
+// nativeSynthesize(voice, text, speed) : synthese zero-shot. Retourne float[] PCM 24kHz mono (null si echec).
+JNIEXPORT jfloatArray JNICALL
+Java_com_kazeia_tts_CosyVoiceJni_nativeSynthesize(JNIEnv* env, jobject, jlong voiceHandle, jstring jtext, jfloat speed) {
+    auto* v = reinterpret_cast<Voice*>(voiceHandle);
+    if (!v || !v->tts) return nullptr;
+    std::string text;
+    cstr(env, jtext, text);
+
+    cosyvoice_generated_speech result = {};
+    if (!cosyvoice_tts_zero_shot(v->tts, text.c_str(), speed > 0 ? speed : 1.0f, &result)
+        || !result.data || result.length == 0) {
+        return nullptr;
+    }
+    jfloatArray out = env->NewFloatArray(result.length);
+    if (out) env->SetFloatArrayRegion(out, 0, result.length, result.data);
+    return out;
+}
+
+JNIEXPORT void JNICALL
+Java_com_kazeia_tts_CosyVoiceJni_nativeFreeVoice(JNIEnv*, jobject, jlong voiceHandle) {
+    auto* v = reinterpret_cast<Voice*>(voiceHandle);
+    if (!v) return;
+    if (v->tts) cosyvoice_tts_context_free(v->tts);
+    if (v->prompt) cosyvoice_prompt_free(v->prompt);
+    if (v->ps) cosyvoice_prompt_speech_free(v->ps);
+    delete v;
+}
+
+JNIEXPORT void JNICALL
+Java_com_kazeia_tts_CosyVoiceJni_nativeFree(JNIEnv*, jobject, jlong handle) {
+    auto ctx = reinterpret_cast<cosyvoice_context_t>(handle);
+    if (ctx) cosyvoice_free(ctx);
+}
+
+} // extern "C"
diff --git a/dist/cosyvoice/libs/libc++_shared.so b/dist/cosyvoice/libs/libc++_shared.so
new file mode 100755
index 0000000..962bb45
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new file mode 100755
index 0000000..20dea63
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diff --git a/dist/cosyvoice/libs/libkazeia_cosyvoice.so b/dist/cosyvoice/libs/libkazeia_cosyvoice.so
new file mode 100755
index 0000000..1cbb8a7
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diff --git a/dist/cosyvoice/libs/libomp.so b/dist/cosyvoice/libs/libomp.so
new file mode 100755
index 0000000..7a20c34
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diff --git a/dist/cosyvoice/model/damien.cvps.example b/dist/cosyvoice/model/damien.cvps.example
new file mode 100644
index 0000000..c03ec80
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diff --git a/dist/distill/eval_audio.py b/dist/distill/eval_audio.py
new file mode 100644
index 0000000..1ab5a85
--- /dev/null
+++ b/dist/distill/eval_audio.py
@@ -0,0 +1,71 @@
+# Eval audio d'un checkpoint Reflow : greffe le student dans le pipeline CosyVoice3 complet,
+# genere le clone (student 1-NFE et 2-NFE) + la reference teacher 10-step, sauve les WAV.
+# Usage: python eval_audio.py --model_dir models/cosyvoice3-0.5b --ckpt runs/rf1/ckpt_010000.pt \
+#          --ref data/damien_15s.wav --ref_text data/damien_15s.txt --text "..." --out_dir evals/rf1_10k
+import argparse, os, sys, types
+import torch, torchaudio
+sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
+from student import CV3_DIT_KWARGS
+from cosyvoice.flow.DiT.dit import DiT
+from cosyvoice.cli.cosyvoice import CosyVoice3
+
+
+def make_reflow_forward(student, nfe):
+    # remplace CausalConditionalCFM.forward : solveur chemin droit, student, sans CFG (absorbe)
+    @torch.inference_mode()
+    def forward(self, mu, mask, n_timesteps, temperature=1.0, spks=None, cond=None,
+                prompt_len=0, cache=torch.zeros(1, 80, 0, 2), streaming=False, **kw):
+        z = torch.randn_like(mu) * temperature
+        ts = torch.linspace(0, 1, nfe + 1, device=mu.device, dtype=mu.dtype)
+        x = z
+        for i in range(nfe):
+            v = student(x, mask, mu, ts[i].expand(x.size(0)), spks, cond)
+            x = x + (ts[i + 1] - ts[i]) * v
+        return x.float(), cache
+    return forward
+
+
+def main():
+    ap = argparse.ArgumentParser()
+    ap.add_argument("--model_dir", required=True)
+    ap.add_argument("--ckpt", required=True)
+    ap.add_argument("--ref", required=True)
+    ap.add_argument("--ref_text", required=True)
+    ap.add_argument("--text", required=True)
+    ap.add_argument("--out_dir", required=True)
+    ap.add_argument("--nfe", type=int, nargs="+", default=[1, 2])
+    args = ap.parse_args()
+    os.makedirs(args.out_dir, exist_ok=True)
+
+    rt = open(args.ref_text).read().strip() if os.path.exists(args.ref_text) else args.ref_text
+    ref_text = "You are a helpful assistant.<|endofprompt|>" + rt
+
+    cv = CosyVoice3(args.model_dir, load_trt=False, fp16=False)
+    decoder = cv.model.flow.decoder
+    orig_forward = decoder.forward  # teacher 10-step CFG (bound method)
+
+    student = DiT(**CV3_DIT_KWARGS).to("cuda").eval()
+    sd = torch.load(args.ckpt, map_location="cpu")
+    student.load_state_dict(sd["ema"] if "ema" in sd else sd["student"], strict=True)
+    print(f"ckpt {args.ckpt} step {sd.get('step','?')} charge", flush=True)
+
+    def synth(out_path):
+        chunks = [o["tts_speech"] for o in cv.inference_zero_shot(args.text, ref_text, args.ref, stream=False)]
+        wav = torch.cat(chunks, dim=1)
+        torchaudio.save(out_path, wav, cv.sample_rate)
+        return wav.shape[1] / cv.sample_rate
+
+    # teacher reference (pipeline intact)
+    d = synth(f"{args.out_dir}/teacher10.wav")
+    print(f"teacher10.wav {d:.2f}s", flush=True)
+    # student few-step
+    for nfe in args.nfe:
+        decoder.forward = types.MethodType(make_reflow_forward(student, nfe), decoder)
+        d = synth(f"{args.out_dir}/student_{nfe}nfe.wav")
+        print(f"student_{nfe}nfe.wav {d:.2f}s", flush=True)
+    decoder.forward = orig_forward
+    print("EVAL-DONE", flush=True)
+
+
+if __name__ == "__main__":
+    main()
diff --git a/dist/distill/export_onnx.py b/dist/distill/export_onnx.py
new file mode 100644
index 0000000..80bb0bd
--- /dev/null
+++ b/dist/distill/export_onnx.py
@@ -0,0 +1,53 @@
+# Export du student distille (DiT) en ONNX batch=1 pour bench tablette (ORT).
+# Inference few-step = appeler ce graphe N fois (chemin droit, pas de CFG).
+# Usage: python export_onnx.py --ckpt runs/rf1/ckpt_010000.pt --out student.onnx
+import argparse, os, sys
+import torch
+sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
+from student import CV3_DIT_KWARGS
+from cosyvoice.flow.DiT.dit import DiT
+
+
+class StudentWrap(torch.nn.Module):
+    # ordonne les entrees comme le flow estimator CV3 (x,mask,mu,t,spks,cond), batch1
+    def __init__(self, dit):
+        super().__init__()
+        self.dit = dit
+
+    def forward(self, x, mask, mu, t, spks, cond):
+        return self.dit(x, mask, mu, t, spks, cond, streaming=False)
+
+
+def main():
+    ap = argparse.ArgumentParser()
+    ap.add_argument("--ckpt", required=True)
+    ap.add_argument("--out", required=True)
+    ap.add_argument("--T", type=int, default=650)
+    args = ap.parse_args()
+
+    dit = DiT(**CV3_DIT_KWARGS).eval()
+    sd = torch.load(args.ckpt, map_location="cpu")
+    dit.load_state_dict(sd["ema"] if "ema" in sd else sd["student"], strict=True)
+
+    T = args.T
+    x = torch.randn(1, 80, T); mask = torch.ones(1, 1, T); mu = torch.randn(1, 80, T)
+    t = torch.tensor([0.5]); spks = torch.randn(1, 80); cond = torch.randn(1, 80, T)
+    w = StudentWrap(dit)
+    with torch.no_grad():
+        ref = w(x, mask, mu, t, spks, cond)
+    torch.onnx.export(
+        w, (x, mask, mu, t, spks, cond), args.out,
+        input_names=["x", "mask", "mu", "t", "spks", "cond"], output_names=["v"],
+        opset_version=17, dynamo=False,
+        dynamic_axes={"x": {2: "T"}, "mask": {2: "T"}, "mu": {2: "T"}, "cond": {2: "T"}, "v": {2: "T"}})
+    print(f"export OK -> {args.out} ({os.path.getsize(args.out)/1e6:.1f} MB), out {tuple(ref.shape)} step {sd.get('step','?')}", flush=True)
+
+    import onnxruntime as ort, numpy as np
+    s = ort.InferenceSession(args.out, providers=["CPUExecutionProvider"])
+    o = s.run(None, {"x": x.numpy(), "mask": mask.numpy(), "mu": mu.numpy(),
+                     "t": t.numpy(), "spks": spks.numpy(), "cond": cond.numpy()})[0]
+    print("parite max|diff|:", float(np.abs(o - ref.numpy()).max()), flush=True)
+
+
+if __name__ == "__main__":
+    main()
diff --git a/dist/distill/prep_data.py b/dist/distill/prep_data.py
new file mode 100644
index 0000000..c52b4f4
--- /dev/null
+++ b/dist/distill/prep_data.py
@@ -0,0 +1,99 @@
+# Prep conditions de distillation depuis un corpus audio FR (pas de texte requis).
+# Par utterance: speech tokens 25Hz (s3tok ONNX), mel 50Hz (matcha 1920/480@24k), x-vector campplus.
+# Sortie: shards .pt (listes de dicts) dans --out_dir.
+# Usage: python prep_data.py --corpus_dir data/cml --model_dir models/cosyvoice3-0.5b --out_dir shards [--max_utts N]
+import argparse, glob, os, sys
+import numpy as np
+import torch
+import torchaudio
+import torchaudio.compliance.kaldi as kaldi
+import onnxruntime as ort
+import whisper
+from matcha.utils.audio import mel_spectrogram
+
+MIN_S, MAX_S = 6.0, 28.0
+
+
+def load_resample(path, sr):
+    # soundfile (torchaudio>=2.9 exige torchcodec pour load)
+    import soundfile as sf
+    data, fs = sf.read(path, dtype="float32", always_2d=True)
+    wav = torch.from_numpy(data.T)
+    if wav.shape[0] > 1:
+        wav = wav.mean(0, keepdim=True)
+    if fs != sr:
+        wav = torchaudio.functional.resample(wav, fs, sr)
+    return wav
+
+
+def main():
+    ap = argparse.ArgumentParser()
+    ap.add_argument("--corpus_dir", required=True)
+    ap.add_argument("--model_dir", required=True)
+    ap.add_argument("--out_dir", required=True)
+    ap.add_argument("--max_utts", type=int, default=0)
+    ap.add_argument("--shard_size", type=int, default=500)
+    ap.add_argument("--device", default="cuda")
+    args = ap.parse_args()
+    os.makedirs(args.out_dir, exist_ok=True)
+
+    prov = ["CUDAExecutionProvider", "CPUExecutionProvider"] if args.device == "cuda" else ["CPUExecutionProvider"]
+    s3tok = ort.InferenceSession(f"{args.model_dir}/speech_tokenizer_v3.onnx", providers=prov)
+    camp = ort.InferenceSession(f"{args.model_dir}/campplus.onnx", providers=["CPUExecutionProvider"])
+
+    files = []
+    for ext in ("wav", "flac", "mp3", "ogg"):
+        files += glob.glob(f"{args.corpus_dir}/**/*.{ext}", recursive=True)
+    files.sort()
+    if args.max_utts:
+        files = files[: args.max_utts]
+    print(f"{len(files)} fichiers candidats", flush=True)
+
+    shard, n_shard, n_ok = [], 0, 0
+    for i, f in enumerate(files):
+        try:
+            w16 = load_resample(f, 16000)
+            dur = w16.shape[1] / 16000
+            if not (MIN_S <= dur <= MAX_S):
+                continue
+            w24 = load_resample(f, 24000)
+
+            # tokens 25Hz
+            feat = whisper.log_mel_spectrogram(w16, n_mels=128)
+            toks = s3tok.run(None, {s3tok.get_inputs()[0].name: feat.numpy(),
+                                    s3tok.get_inputs()[1].name: np.array([feat.shape[2]], dtype=np.int32)})[0].flatten()
+            # mel 50Hz
+            mel = mel_spectrogram(w24, n_fft=1920, num_mels=80, sampling_rate=24000,
+                                  hop_size=480, win_size=1920, fmin=0, fmax=None, center=False)
+            mel = mel.squeeze(0).transpose(0, 1)  # [T,80]
+            # alignement mel = 2 * tokens
+            tl = min(mel.shape[0] // 2, len(toks))
+            if tl < int(MIN_S * 25):
+                continue
+            mel, toks = mel[: 2 * tl], toks[:tl]
+            # x-vector
+            fb = kaldi.fbank(w16, num_mel_bins=80, dither=0, sample_frequency=16000)
+            fb = fb - fb.mean(dim=0, keepdim=True)
+            xv = camp.run(None, {camp.get_inputs()[0].name: fb.unsqueeze(0).numpy()})[0].flatten()
+
+            shard.append({"path": f,
+                          "tokens": torch.tensor(toks.astype(np.int32), dtype=torch.int32),
+                          "mel": mel.to(torch.float16),
+                          "xvec": torch.tensor(xv, dtype=torch.float16)})
+            n_ok += 1
+            if len(shard) >= args.shard_size:
+                torch.save(shard, f"{args.out_dir}/shard_{n_shard:05d}.pt")
+                n_shard += 1
+                shard = []
+            if n_ok % 200 == 0:
+                print(f"[{i}/{len(files)}] {n_ok} ok, {n_shard} shards", flush=True)
+        except Exception as e:
+            print(f"skip {f}: {e}", file=sys.stderr, flush=True)
+    if shard:
+        torch.save(shard, f"{args.out_dir}/shard_{n_shard:05d}.pt")
+        n_shard += 1
+    print(f"FINI: {n_ok} utts -> {n_shard} shards dans {args.out_dir}", flush=True)
+
+
+if __name__ == "__main__":
+    main()
diff --git a/dist/distill/student.py b/dist/distill/student.py
new file mode 100644
index 0000000..1ad90df
--- /dev/null
+++ b/dist/distill/student.py
@@ -0,0 +1,82 @@
+# Student MeanFlow pour le DiT CosyVoice3 : v(x,t) -> u(x,t,r) (vitesse moyenne sur [t,r])
+# Init: poids du teacher + gate r zero-init => student(x,t,r) == teacher v(x,t) a l'init.
+import torch
+import torch.nn as nn
+
+from cosyvoice.flow.DiT.dit import DiT, TimestepEmbedding
+from cosyvoice.utils.mask import add_optional_chunk_mask
+
+
+class MeanFlowDiT(DiT):
+    def __init__(self, **kw):
+        super().__init__(**kw)
+        self.r_embed = TimestepEmbedding(self.dim)
+        self.r_gate = nn.Linear(self.dim, self.dim)
+        nn.init.zeros_(self.r_gate.weight)
+        nn.init.zeros_(self.r_gate.bias)
+
+    @classmethod
+    def from_teacher(cls, teacher: DiT, **kw):
+        m = cls(**kw)
+        missing, unexpected = m.load_state_dict(teacher.state_dict(), strict=False)
+        assert not unexpected, f"poids teacher inattendus: {unexpected}"
+        assert all(k.startswith(("r_embed.", "r_gate.")) for k in missing), f"manquants hors student: {missing}"
+        return m
+
+    def forward(self, x, mask, mu, t, r=None, spks=None, cond=None, streaming=False):
+        # copie de DiT.forward avec injection de l'embedding d'intervalle r
+        x = x.transpose(1, 2)
+        mu = mu.transpose(1, 2)
+        cond = cond.transpose(1, 2)
+        spks = spks.unsqueeze(dim=1)
+        batch, seq_len = x.shape[0], x.shape[1]
+        if t.ndim == 0:
+            t = t.repeat(batch)
+        if r is None:
+            r = t
+        if r.ndim == 0:
+            r = r.repeat(batch)
+
+        t = self.time_embed(t) + self.r_gate(self.r_embed(r))
+        x = self.input_embed(x, cond, mu, spks.squeeze(1))
+
+        rope = self.rotary_embed.forward_from_seq_len(seq_len)
+
+        if self.long_skip_connection is not None:
+            residual = x
+
+        if streaming is True:
+            attn_mask = add_optional_chunk_mask(x, mask.bool(), False, False, 0, self.static_chunk_size, -1).unsqueeze(dim=1)
+        else:
+            attn_mask = add_optional_chunk_mask(x, mask.bool(), False, False, 0, 0, -1).repeat(1, x.size(1), 1).unsqueeze(dim=1)
+
+        for block in self.transformer_blocks:
+            x = block(x, t, mask=attn_mask.bool(), rope=rope)
+
+        if self.long_skip_connection is not None:
+            x = self.long_skip_connection(torch.cat((x, residual), dim=-1))
+
+        x = self.norm_out(x, t)
+        output = self.proj_out(x).transpose(1, 2)
+        return output
+
+
+# kwargs exacts du DiT CosyVoice3-0.5B-2512 (cosyvoice3.yaml)
+CV3_DIT_KWARGS = dict(
+    dim=1024, depth=22, heads=16, dim_head=64, ff_mult=2,
+    mel_dim=80, mu_dim=80, spk_dim=80, out_channels=80,
+    static_chunk_size=25 * 2, num_decoding_left_chunks=-1,
+)
+
+
+@torch.inference_mode()
+def student_infer(student, z, mu, mask, spks, cond, t_span):
+    """Inference few-step : x_{i+1} = x_i + (r-t) * u(x_i, t, r) sur la grille t_span (deja cosine-warpee)."""
+    x = z
+    for i in range(len(t_span) - 1):
+        t, r = t_span[i], t_span[i + 1]
+        bt = t.expand(x.size(0)).to(x.dtype)
+        br = r.expand(x.size(0)).to(x.dtype)
+        u = student(x, mask, mu, bt, r=br, spks=spks, cond=cond)
+        x = x + (r - t) * u
+    return x
diff --git a/dist/distill/train.py b/dist/distill/train.py
new file mode 100644
index 0000000..947e7e8
--- /dev/null
+++ b/dist/distill/train.py
@@ -0,0 +1,266 @@
+# Distillation vitesse-moyenne (IntMeanFlow-style, sans JVP) du flow CosyVoice3.
+# Teacher gele (CFG 0.7 bake dans la cible), student init=teacher, intervalle (t,r) cosine-warpe.
+# Usage: python train.py --model_dir models/cosyvoice3-0.5b --shards "shards/*.pt" --out runs/mv1
+import argparse, glob, math, os, random, time
+import torch
+import torch.nn.functional as F
+from hyperpyyaml import load_hyperpyyaml
+
+import sys
+sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
+from student import MeanFlowDiT, CV3_DIT_KWARGS, student_infer
+
+SIGMA = 1e-6
+CFG = 0.7
+
+
+def cosine_warp(s):
+    return 1 - torch.cos(s * 0.5 * math.pi)
+
+
+def load_teacher(model_dir, device):
+    with open(f"{model_dir}/cosyvoice3.yaml") as f:
+        # llm/hift non requis pour la distillation du flow (evite transformers & co)
+        cfg = load_hyperpyyaml(f, overrides={"llm": None, "hift": None})
+    flow = cfg["flow"]
+    sd = torch.load(f"{model_dir}/flow.pt", map_location="cpu")
+    flow.load_state_dict(sd, strict=True)
+    flow.to(device).eval()
+    for p in flow.parameters():
+        p.requires_grad_(False)
+    return flow
+
+
+class ShardDataset:
+    def __init__(self, pattern, max_mel=1200, prompt_s=(3.0, 6.0), holdout=8):
+        self.files = sorted(glob.glob(pattern))
+        assert self.files, f"aucun shard: {pattern}"
+        self.max_mel = max_mel
+        self.prompt_s = prompt_s
+        first = torch.load(self.files[0], map_location="cpu")
+        self.val_items = first[:holdout]
+        self._cache_idx, self._cache = -1, None
+
+    def sample(self, rng):
+        si = rng.randrange(len(self.files))
+        if si != self._cache_idx:
+            self._cache, self._cache_idx = torch.load(self.files[si], map_location="cpu"), si
+        it = self._cache[rng.randrange(len(self._cache))]
+        return it
+
+    def make_batch(self, bs, rng, device):
+        items = [self.sample(rng) for _ in range(bs)]
+        return collate(items, self.max_mel, self.prompt_s, rng, device)
+
+
+def collate(items, max_mel, prompt_s, rng, device):
+    B = len(items)
+    toks, mels, xvs, p_mel_lens, mel_lens = [], [], [], [], []
+    for it in items:
+        mel = it["mel"].float()
+        tok = it["tokens"].long()
+        tl = min(mel.shape[0] // 2, tok.shape[0], max_mel // 2)
+        mel, tok = mel[: 2 * tl], tok[:tl]
+        p_tok = int(rng.uniform(*prompt_s) * 25)
+        p_tok = min(p_tok, tl - 25)  # garder >=1s de cible
+        toks.append(tok); mels.append(mel); xvs.append(it["xvec"].float())
+        p_mel_lens.append(2 * p_tok); mel_lens.append(2 * tl)
+    T = max(mel_lens)
+    tok_pad = torch.zeros(B, T // 2, dtype=torch.long)
+    mel_pad = torch.zeros(B, T, 80)
+    for i in range(B):
+        tok_pad[i, : len(toks[i])] = toks[i]
+        mel_pad[i, : mel_lens[i]] = mels[i]
+    return (tok_pad.to(device), mel_pad.to(device), torch.stack(xvs).to(device),
+            torch.tensor(p_mel_lens, device=device), torch.tensor(mel_lens, device=device))
+
+
+@torch.no_grad()
+def build_conditions(flow, tok, mel, xv, p_mel_len, mel_len):
+    """Replique flow.inference (finalize) en batch: mu, conds, mask, spks."""
+    B, T = mel.shape[0], mel.shape[1]
+    emb = F.normalize(xv, dim=1)
+    spks = flow.spk_embed_affine_layer(emb)
+    tok_mask = (torch.arange(T // 2, device=tok.device)[None, :] < (mel_len[:, None] // 2)).unsqueeze(-1).float()
+    h = flow.input_embedding(torch.clamp(tok, min=0)) * tok_mask
+    h = flow.pre_lookahead_layer(h)
+    h = h.repeat_interleave(flow.token_mel_ratio, dim=1)  # [B,T,80]
+    conds = torch.zeros_like(mel)
+    for i in range(B):
+        conds[i, : p_mel_len[i]] = mel[i, : p_mel_len[i]]
+    mask = (torch.arange(T, device=mel.device)[None, :] < mel_len[:, None]).float()
+    return h.transpose(1, 2), conds.transpose(1, 2), mask.unsqueeze(1), spks  # mu/conds [B,80,T]
+
+
+@torch.no_grad()
+def teacher_cfg_v(est, x, mask, mu, t, spks, cond):
+    B = x.size(0)
+    x2 = torch.cat([x, x], 0); m2 = torch.cat([mask, mask], 0)
+    mu2 = torch.cat([mu, torch.zeros_like(mu)], 0)
+    t2 = torch.cat([t, t], 0)
+    s2 = torch.cat([spks, torch.zeros_like(spks)], 0)
+    c2 = torch.cat([cond, torch.zeros_like(cond)], 0)
+    v = est(x2, m2, mu2, t2, s2, c2)
+    vc, vu = v[:B], v[B:]
+    return (1.0 + CFG) * vc - CFG * vu
+
+
+def main():
+    ap = argparse.ArgumentParser()
+    ap.add_argument("--model_dir", required=True)
+    ap.add_argument("--shards", required=True)
+    ap.add_argument("--out", required=True)
+    ap.add_argument("--bs", type=int, default=8)
+    ap.add_argument("--steps", type=int, default=100000)
+    ap.add_argument("--lr", type=float, default=2e-5)
+    ap.add_argument("--warmup", type=int, default=500)
+    ap.add_argument("--substeps", type=int, default=4)     # pas Euler teacher par intervalle
+    ap.add_argument("--grid_prob", type=float, default=0.5)  # prob d'ancrer (t,r) sur la grille 2-NFE
+    ap.add_argument("--ema", type=float, default=0.999)
+    ap.add_argument("--save_every", type=int, default=2000)
+    ap.add_argument("--val_every", type=int, default=2000)
+    ap.add_argument("--seed", type=int, default=42)
+    args = ap.parse_args()
+    os.makedirs(args.out, exist_ok=True)
+    device = "cuda"
+    rng = random.Random(args.seed)
+    torch.manual_seed(args.seed)
+
+    flow = load_teacher(args.model_dir, device)
+    teacher_est = flow.decoder.estimator
+    student = MeanFlowDiT.from_teacher(teacher_est, **CV3_DIT_KWARGS).to(device).train()
+    ema = MeanFlowDiT.from_teacher(teacher_est, **CV3_DIT_KWARGS).to(device).eval()
+    ema.load_state_dict(student.state_dict())
+    for p in ema.parameters():
+        p.requires_grad_(False)
+
+    ds = ShardDataset(args.shards)
+    opt = torch.optim.AdamW(student.parameters(), lr=args.lr, weight_decay=0.01, betas=(0.9, 0.95))
+    sched = torch.optim.lr_scheduler.LambdaLR(
+        opt, lambda s: min(1.0, s / max(1, args.warmup)) * (0.5 * (1 + math.cos(math.pi * min(1.0, s / args.steps)))))
+
+    # grille 2-NFE de reference (cosine warp de {0, .5, 1})
+    grid2 = cosine_warp(torch.tensor([0.0, 0.5, 1.0]))
+
+    t0 = time.time()
+    for step in range(1, args.steps + 1):
+        tok, mel, xv, p_len, m_len = ds.make_batch(args.bs, rng, device)
+        with torch.autocast("cuda", dtype=torch.bfloat16):
+            mu, conds, mask, spks = build_conditions(flow, tok, mel, xv, p_len, m_len)
+            x1 = mel.transpose(1, 2)  # [B,80,T]
+            B = x1.size(0)
+
+            # intervalle (t,r)
+            z = torch.randn_like(x1)
+            grid_anchor = rng.random() < args.grid_prob
+            second_leg = False
+            if grid_anchor:
+                i = rng.randrange(2)
+                second_leg = (i == 1)
+                t_s = grid2[i].expand(B).to(device)
+                r_s = grid2[i + 1].expand(B).to(device)
+            else:
+                u = torch.rand(B, 2, device=device)
+                lo, hi = u.min(1).values, u.max(1).values
+                hi = torch.clamp(hi, min=lo + 0.05)
+                t_s, r_s = cosine_warp(lo), cosine_warp(torch.clamp(hi, max=1.0))
+
+            tt = t_s.view(B, 1, 1)
+            if second_leg:
+                # entree du 2e pas = SORTIE REELLE du 1er pas du student (composition d'inference),
+                # pas l'interpolation donnees -> corrige le mismatch on-policy
+                with torch.no_grad():
+                    ta = grid2[0].expand(B).to(device)
+                    ra = grid2[1].expand(B).to(device)
+                    u0 = student(z, mask, mu, ta, r=ra, spks=spks, cond=conds)
+                    x_t = z + (grid2[1] - grid2[0]).to(device) * u0
+            else:
+                x_t = (1 - (1 - SIGMA) * tt) * z + tt * x1
+
+            # cible: vitesse moyenne du teacher CFG sur [t,r] (substeps Euler)
+            with torch.no_grad():
+                x = x_t
+                cur = t_s.clone()
+                dt = (r_s - t_s) / args.substeps
+                for _ in range(args.substeps):
+                    v = teacher_cfg_v(teacher_est, x, mask, mu, cur, spks, conds)
+                    x = x + dt.view(B, 1, 1) * v
+                    cur = cur + dt
+                u_tgt = (x - x_t) / (r_s - t_s).view(B, 1, 1)
+
+            u_pred = student(x_t, mask, mu, t_s, r=r_s, spks=spks, cond=conds)
+
+            # perte sur la region cible uniquement (apres le prompt), masquee
+            tgt_mask = mask.clone()
+            for i in range(B):
+                tgt_mask[i, :, : p_len[i]] = 0
+            loss = ((u_pred - u_tgt) ** 2 * tgt_mask).sum() / (tgt_mask.sum() * 80)
+
+        opt.zero_grad(set_to_none=True)
+        loss.backward()
+        gn = torch.nn.utils.clip_grad_norm_(student.parameters(), 1.0)
+        opt.step()
+        sched.step()
+        with torch.no_grad():
+            for pe, ps in zip(ema.parameters(), student.parameters()):
+                pe.mul_(args.ema).add_(ps, alpha=1 - args.ema)
+
+        if step % 50 == 0:
+            print(f"step {step} loss {loss.item():.4f} gnorm {gn:.2f} lr {sched.get_last_lr()[0]:.2e} "
+                  f"{(time.time()-t0)/step:.2f}s/step", flush=True)
+
+        if step % args.val_every == 0:
+            val(flow, teacher_est, ema, ds, device, args.out, step)
+            val(flow, teacher_est, student, ds, device, args.out, step, tag="raw")
+            student.train()
+        if step % args.save_every == 0:
+            torch.save({"student": student.state_dict(), "ema": ema.state_dict(), "step": step,
+                        "args": vars(args)}, f"{args.out}/ckpt_{step:06d}.pt")
+    torch.save({"student": student.state_dict(), "ema": ema.state_dict(), "step": args.steps,
+                "args": vars(args)}, f"{args.out}/ckpt_final.pt")
+
+
+@torch.no_grad()
+def val(flow, teacher_est, ema, ds, device, out, step, tag="ema"):
+    ema.eval()
+    rng = random.Random(0)
+    items = ds.val_items[:4]
+    tok, mel, xv, p_len, m_len = collate(items, 1200, (4.0, 4.0), rng, device)
+    with torch.autocast("cuda", dtype=torch.bfloat16):
+        mu, conds, mask, spks = build_conditions(flow, tok, mel, xv, p_len, m_len)
+        g = torch.Generator(device=device).manual_seed(123)
+        z = torch.randn(mel.shape[0], 80, mel.shape[1], device=device, generator=g)
+        # teacher 10 steps CFG (reference)
+        ts10 = cosine_warp(torch.linspace(0, 1, 11)).to(device)
+        x = z.clone()
+        for i in range(10):
+            t = ts10[i].expand(z.size(0))
+            v = teacher_cfg_v(teacher_est, x, mask, mu, t, spks, conds)
+            x = x + (ts10[i + 1] - ts10[i]) * v
+        mel_teacher = x
+        # student EMA 2-NFE et 1-NFE
+        ts2 = cosine_warp(torch.linspace(0, 1, 3)).to(device)
+        mel_s2 = student_infer(ema, z.clone(), mu, mask, spks, conds, ts2)
+        ts1 = cosine_warp(torch.linspace(0, 1, 2)).to(device)
+        mel_s1 = student_infer(ema, z.clone(), mu, mask, spks, conds, ts1)
+        # baseline = teacher 2 steps (la ligne de depart du student a l'init)
+        x = z.clone()
+        for i in range(2):
+            t = ts2[i].expand(z.size(0))
+            v = teacher_cfg_v(teacher_est, x, mask, mu, t, spks, conds)
+            x = x + (ts2[i + 1] - ts2[i]) * v
+        mel_t2 = x
+    tm = mask.clone()
+    for i in range(len(items)):
+        tm[i, :, : p_len[i]] = 0
+    l2 = lambda a, b: (((a - b) ** 2 * tm).sum() / (tm.sum() * 80)).item()
+    print(f"VAL[{tag}] step {step}: student2={l2(mel_s2.float(), mel_teacher.float()):.4f} "
+          f"student1={l2(mel_s1.float(), mel_teacher.float()):.4f} "
+          f"BASELINE teacher2={l2(mel_t2.float(), mel_teacher.float()):.4f} (vs teacher10)", flush=True)
+    torch.save({"teacher10": mel_teacher.float().cpu(), "student2": mel_s2.float().cpu(),
+                "student1": mel_s1.float().cpu(), "p_len": p_len.cpu(), "m_len": m_len.cpu()},
+               f"{out}/val_{tag}_{step:06d}.pt")
+
+
+if __name__ == "__main__":
+    main()
diff --git a/dist/distill/train_reflow.py b/dist/distill/train_reflow.py
new file mode 100644
index 0000000..e7c225b
--- /dev/null
+++ b/dist/distill/train_reflow.py
@@ -0,0 +1,224 @@
+# Distillation par rectified-flow (Reflow/InstaFlow) du flow CosyVoice3.
+# Cible FIXE et detachee: x_teacher = sortie teacher 10-step+CFG depuis z (CFG absorbe).
+# Student = DiT pur init=teacher; regresse la vitesse du chemin droit z->x_teacher.
+# Robuste: pas de cible dynamique, pas de bouclage on-policy -> pas de divergence.
+# Usage: python train_reflow.py --model_dir models/cosyvoice3-0.5b --shards "shards_cml/*.pt" --out runs/rf1
+import argparse, glob, math, os, random, time
+import torch
+import torch.nn.functional as F
+from hyperpyyaml import load_hyperpyyaml
+
+import sys
+sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
+from student import CV3_DIT_KWARGS
+from cosyvoice.flow.DiT.dit import DiT
+
+SIGMA = 1e-6
+CFG = 0.7
+
+
+def cosine_warp(s):
+    return 1 - torch.cos(s * 0.5 * math.pi)
+
+
+def load_teacher(model_dir, device):
+    with open(f"{model_dir}/cosyvoice3.yaml") as f:
+        cfg = load_hyperpyyaml(f, overrides={"llm": None, "hift": None})
+    flow = cfg["flow"]
+    flow.load_state_dict(torch.load(f"{model_dir}/flow.pt", map_location="cpu"), strict=True)
+    flow.to(device).eval()
+    for p in flow.parameters():
+        p.requires_grad_(False)
+    return flow
+
+
+def make_student(teacher_est, device):
+    s = DiT(**CV3_DIT_KWARGS)
+    s.load_state_dict(teacher_est.state_dict(), strict=True)
+    return s.to(device)
+
+
+class ShardDataset:
+    def __init__(self, pattern, max_mel=1000, prompt_s=(3.0, 6.0), holdout=8):
+        self.files = sorted(glob.glob(pattern))
+        assert self.files, f"aucun shard: {pattern}"
+        self.max_mel = max_mel
+        self.prompt_s = prompt_s
+        self.val_items = torch.load(self.files[0], map_location="cpu")[:holdout]
+        self._ci, self._c = -1, None
+
+    def _shard(self, i):
+        if i != self._ci:
+            self._c, self._ci = torch.load(self.files[i], map_location="cpu"), i
+        return self._c
+
+    def make_batch(self, bs, rng, device):
+        items = []
+        for _ in range(bs):
+            sh = self._shard(rng.randrange(len(self.files)))
+            items.append(sh[rng.randrange(len(sh))])
+        return collate(items, self.max_mel, self.prompt_s, rng, device)
+
+
+def collate(items, max_mel, prompt_s, rng, device):
+    B = len(items)
+    toks, mels, xvs, p_mel_lens, mel_lens = [], [], [], [], []
+    for it in items:
+        mel = it["mel"].float(); tok = it["tokens"].long()
+        tl = min(mel.shape[0] // 2, tok.shape[0], max_mel // 2)
+        mel, tok = mel[: 2 * tl], tok[:tl]
+        p_tok = min(int(rng.uniform(*prompt_s) * 25), tl - 25)
+        toks.append(tok); mels.append(mel); xvs.append(it["xvec"].float())
+        p_mel_lens.append(2 * p_tok); mel_lens.append(2 * tl)
+    T = max(mel_lens)
+    tok_pad = torch.zeros(B, T // 2, dtype=torch.long)
+    mel_pad = torch.zeros(B, T, 80)
+    for i in range(B):
+        tok_pad[i, : len(toks[i])] = toks[i]
+        mel_pad[i, : mel_lens[i]] = mels[i]
+    return (tok_pad.to(device), mel_pad.to(device), torch.stack(xvs).to(device),
+            torch.tensor(p_mel_lens, device=device), torch.tensor(mel_lens, device=device))
+
+
+@torch.no_grad()
+def build_conditions(flow, tok, mel, xv, p_mel_len, mel_len):
+    B, T = mel.shape[0], mel.shape[1]
+    spks = flow.spk_embed_affine_layer(F.normalize(xv, dim=1))
+    tok_mask = (torch.arange(T // 2, device=tok.device)[None, :] < (mel_len[:, None] // 2)).unsqueeze(-1).float()
+    h = flow.input_embedding(torch.clamp(tok, min=0)) * tok_mask
+    h = flow.pre_lookahead_layer(h)
+    h = h.repeat_interleave(flow.token_mel_ratio, dim=1)
+    conds = torch.zeros_like(mel)
+    for i in range(B):
+        conds[i, : p_mel_len[i]] = mel[i, : p_mel_len[i]]
+    mask = (torch.arange(T, device=mel.device)[None, :] < mel_len[:, None]).float()
+    return h.transpose(1, 2), conds.transpose(1, 2), mask.unsqueeze(1), spks
+
+
+@torch.no_grad()
+def teacher_cfg_v(est, x, mask, mu, t, spks, cond):
+    B = x.size(0)
+    v = est(torch.cat([x, x], 0), torch.cat([mask, mask], 0),
+            torch.cat([mu, torch.zeros_like(mu)], 0), torch.cat([t, t], 0),
+            torch.cat([spks, torch.zeros_like(spks)], 0), torch.cat([cond, torch.zeros_like(cond)], 0))
+    vc, vu = v[:B], v[B:]
+    return (1.0 + CFG) * vc - CFG * vu
+
+
+@torch.no_grad()
+def teacher_solve(est, z, mask, mu, spks, cond, nfe=10):
+    ts = cosine_warp(torch.linspace(0, 1, nfe + 1)).to(z.device)
+    x = z
+    for i in range(nfe):
+        v = teacher_cfg_v(est, x, mask, mu, ts[i].expand(z.size(0)), spks, cond)
+        x = x + (ts[i + 1] - ts[i]) * v
+    return x
+
+
+@torch.no_grad()
+def student_solve(student, z, mask, mu, spks, cond, nfe):
+    ts = torch.linspace(0, 1, nfe + 1).to(z.device)  # reflow = chemin droit, pas de warp
+    x = z
+    for i in range(nfe):
+        v = student(x, mask, mu, ts[i].expand(z.size(0)), spks, cond)
+        x = x + (ts[i + 1] - ts[i]) * v
+    return x
+
+
+def main():
+    ap = argparse.ArgumentParser()
+    ap.add_argument("--model_dir", required=True)
+    ap.add_argument("--shards", required=True)
+    ap.add_argument("--out", required=True)
+    ap.add_argument("--bs", type=int, default=8)
+    ap.add_argument("--steps", type=int, default=60000)
+    ap.add_argument("--lr", type=float, default=1e-5)
+    ap.add_argument("--warmup", type=int, default=1000)
+    ap.add_argument("--ema", type=float, default=0.9995)
+    ap.add_argument("--val_every", type=int, default=1000)
+    ap.add_argument("--save_every", type=int, default=2000)
+    ap.add_argument("--seed", type=int, default=42)
+    args = ap.parse_args()
+    os.makedirs(args.out, exist_ok=True)
+    device = "cuda"
+    rng = random.Random(args.seed)
+    torch.manual_seed(args.seed)
+
+    flow = load_teacher(args.model_dir, device)
+    test = flow.decoder.estimator
+    student = make_student(test, device).train()
+    ema = make_student(test, device).eval()
+    for p in ema.parameters():
+        p.requires_grad_(False)
+
+    ds = ShardDataset(args.shards)
+    opt = torch.optim.AdamW(student.parameters(), lr=args.lr, weight_decay=0.01, betas=(0.9, 0.95))
+    sched = torch.optim.lr_scheduler.LambdaLR(
+        opt, lambda s: min(1.0, s / max(1, args.warmup)) * (0.5 * (1 + math.cos(math.pi * min(1.0, s / args.steps)))))
+
+    t0 = time.time()
+    for step in range(1, args.steps + 1):
+        tok, mel, xv, p_len, m_len = ds.make_batch(args.bs, rng, device)
+        with torch.autocast("cuda", dtype=torch.bfloat16):
+            mu, conds, mask, spks = build_conditions(flow, tok, mel, xv, p_len, m_len)
+            x1 = mel.transpose(1, 2)
+            B = x1.size(0)
+            z = torch.randn_like(x1)
+            # cible FIXE detachee : sortie teacher 10-step CFG depuis z (CFG absorbe)
+            x_tea = teacher_solve(test, z, mask, mu, spks, conds, nfe=10)
+            # chemin droit reflow : x_t = (1-t) z + t x_tea ; vitesse cible = x_tea - z
+            t = torch.rand(B, 1, 1, device=device)
+            x_t = (1 - t) * z + t * x_tea
+            v_tgt = x_tea - z
+            v_pred = student(x_t, mask, mu, t.view(B), spks, conds)
+
+            tgt_mask = mask.clone()
+            for i in range(B):
+                tgt_mask[i, :, : p_len[i]] = 0
+            loss = ((v_pred - v_tgt) ** 2 * tgt_mask).sum() / (tgt_mask.sum() * 80)
+
+        opt.zero_grad(set_to_none=True)
+        loss.backward()
+        gn = torch.nn.utils.clip_grad_norm_(student.parameters(), 1.0)
+        opt.step(); sched.step()
+        with torch.no_grad():
+            for pe, ps in zip(ema.parameters(), student.parameters()):
+                pe.mul_(args.ema).add_(ps, alpha=1 - args.ema)
+
+        if step % 50 == 0:
+            print(f"step {step} loss {loss.item():.4f} gnorm {float(gn):.2f} lr {sched.get_last_lr()[0]:.2e} "
+                  f"{(time.time()-t0)/step:.2f}s/step", flush=True)
+        if step % args.val_every == 0:
+            val(flow, test, ema, ds, device, args.out, step)
+            student.train()
+        if step % args.save_every == 0:
+            torch.save({"student": student.state_dict(), "ema": ema.state_dict(), "step": step},
+                       f"{args.out}/ckpt_{step:06d}.pt")
+    torch.save({"student": student.state_dict(), "ema": ema.state_dict(), "step": args.steps},
+               f"{args.out}/ckpt_final.pt")
+
+
+@torch.no_grad()
+def val(flow, test, ema, ds, device, out, step):
+    rng = random.Random(0)
+    tok, mel, xv, p_len, m_len = collate(ds.val_items[:4], 1000, (4.0, 4.0), rng, device)
+    with torch.autocast("cuda", dtype=torch.bfloat16):
+        mu, conds, mask, spks = build_conditions(flow, tok, mel, xv, p_len, m_len)
+        g = torch.Generator(device=device).manual_seed(123)
+        z = torch.randn(mel.shape[0], 80, mel.shape[1], device=device, generator=g)
+        mel_tea = teacher_solve(test, z, mask, mu, spks, conds, nfe=10)
+        s1 = student_solve(ema, z, mask, mu, spks, conds, 1)
+        s2 = student_solve(ema, z, mask, mu, spks, conds, 2)
+        s4 = student_solve(ema, z, mask, mu, spks, conds, 4)
+    tm = mask.clone()
+    for i in range(len(p_len)):
+        tm[i, :, : p_len[i]] = 0
+    l2 = lambda a, b: (((a - b) ** 2 * tm).sum() / (tm.sum() * 80)).item()
+    print(f"VAL step {step}: s1={l2(s1.float(), mel_tea.float()):.4f} "
+          f"s2={l2(s2.float(), mel_tea.float()):.4f} s4={l2(s4.float(), mel_tea.float()):.4f} (vs teacher10)", flush=True)
+    torch.save({"teacher10": mel_tea.float().cpu(), "s1": s1.float().cpu(), "s2": s2.float().cpu(),
+                "s4": s4.float().cpu(), "p_len": p_len.cpu(), "m_len": m_len.cpu()}, f"{out}/val_{step:06d}.pt")
+
+
+if __name__ == "__main__":
+    main()
diff --git a/dist/jni/CosyVoiceTtsEngine.kt b/dist/jni/CosyVoiceTtsEngine.kt
new file mode 100644
index 0000000..c42ee4b
--- /dev/null
+++ b/dist/jni/CosyVoiceTtsEngine.kt
@@ -0,0 +1,57 @@
+package com.kazeia.tts
+
+/**
+ * Moteur TTS CosyVoice3 distillé (clonage vocal zero-shot, 9 langues : fr, en, de, es, it, ru, zh, ja, ko).
+ * CPU-only (pas de FastRPC/SELinux). Modèle = GGUF distillé 2-NFE. Voix = artefacts .cvps pré-enrôlés offline.
+ *
+ * Empreinte : ~1 Go (modèle) + ~30 Mo / voix chargée. RTF ~1,8 sur SM8750 (génère par phrase pour streaming).
+ *
+ * Pour le portugais/arabe et les 14 autres langues : voir le moteur Chatterbox (dispatch par langue côté app).
+ */
+object CosyVoiceJni {
+    external fun nativeLoad(ggufPath: String, nfe: Int, nThreads: Int): Long
+    external fun nativeLoadVoice(handle: Long, cvpsPath: String): Long
+    external fun nativeSynthesize(voiceHandle: Long, text: String, speed: Float): FloatArray?
+    external fun nativeFreeVoice(voiceHandle: Long)
+    external fun nativeFree(handle: Long)
+}
+
+class CosyVoiceTtsEngine(
+    modelGguf: String,
+    nfe: Int = 2,          // pas de flow du student distillé (2 = recommandé, qualité = teacher)
+    nThreads: Int = 8,     // V79 : 8 cœurs
+) {
+    companion object {
+        const val SAMPLE_RATE = 24_000
+        @Volatile private var loaded = false
+        fun ensureLibrary() {
+            if (!loaded) { System.loadLibrary("kazeia_cosyvoice"); loaded = true }
+        }
+    }
+
+    private val handle: Long
+
+    init {
+        ensureLibrary()
+        handle = CosyVoiceJni.nativeLoad(modelGguf, nfe, nThreads)
+        require(handle != 0L) { "CosyVoice: échec de chargement du modèle $modelGguf" }
+    }
+
+    /** Charge un profil voix pré-enrôlé (.cvps, généré offline depuis la phrase de consentement). */
+    fun loadVoice(cvpsPath: String): Voice {
+        val v = CosyVoiceJni.nativeLoadVoice(handle, cvpsPath)
+        require(v != 0L) { "CosyVoice: échec de chargement de la voix $cvpsPath" }
+        return Voice(v)
+    }
+
+    /** Synthèse zero-shot : texte → PCM float[-1,1] mono 24 kHz. Génère phrase par phrase en amont pour le streaming. */
+    fun synthesize(voice: Voice, text: String, speed: Float = 1.0f): FloatArray =
+        CosyVoiceJni.nativeSynthesize(voice.handle, text, speed)
+            ?: error("CosyVoice: échec de synthèse")
+
+    fun release() = CosyVoiceJni.nativeFree(handle)
+
+    inner class Voice(internal val handle: Long) {
+        fun release() = CosyVoiceJni.nativeFreeVoice(handle)
+    }
+}
diff --git a/dist/jni/EngineLlmEngine.kt b/dist/jni/EngineLlmEngine.kt
index f49251d..d69545b 100644
--- a/dist/jni/EngineLlmEngine.kt
+++ b/dist/jni/EngineLlmEngine.kt
@@ -14,6 +14,14 @@ class EngineJni {
     external fun reset(h: Long)
     external fun free(h: Long)
 
+    // -- Streaming + session (latence in-app). cb.onToken(piece) -> false pour arrêter.
+    //    generateStream = mono-tour streamé. session* = system prefillé 1×, réutilisé (cache de préfixe KV).
+    external fun generateStream(h: Long, sys: String, usr: String, maxTok: Int, cb: TokenCallback)
+    external fun sessionStart(h: Long, sys: String)                              // prefille le system + checkpoint KV
+    external fun sessionAsk(h: Long, usr: String, maxTok: Int, cb: TokenCallback) // ne prefille que le user
+    external fun sessionReset(h: Long)                                           // repart du checkpoint système
+    external fun getLastStats(h: Long): LongArray                                // [prefill_ms, decode_ms, n_tokens]
+
     // -- TTS Talker (Qwen3-TTS) : I/O en embeddings, pas en tokens (vocab=3072 codes audio, pas de BPE).
     //    Le caller (cf. TalkerEngine.kt) construit les embeds de prefill (text+x-vector) et de step
     //    (sum 16 codecs + tts_pad + trailing_text_hidden), fait l'échantillonnage, et compose le
@@ -35,6 +43,14 @@ class EngineJni {
     companion object { init { System.loadLibrary("kazeia_engine") } }
 }
 
+/** Callback de streaming token. Renvoyer false pour interrompre la génération. */
+fun interface TokenCallback { fun onToken(piece: String): Boolean }
+
+/** Découpage temporel du dernier appel (ms). */
+data class GenStats(val prefillMs: Long, val decodeMs: Long, val nTokens: Long) {
+    val decodeTokPerSec: Double get() = if (decodeMs > 0) nTokens * 1000.0 / decodeMs else 0.0
+}
+
 // Wrapper RAG-friendly. Un seul embedder par process (le modèle est petit ~120 MB).
 // Le MÊME GGUF doit servir à l'ingestion ET à la requête (vecteurs incompatibles sinon) :
 // versionne le modèle dans le contrat de distribution.
@@ -60,11 +76,48 @@ class EngineLlmEngine(model: String, ctx: Int = 4096, nThreads: Int = 6) {
     // Multi-tour : prompt complet pré-formaté (voir ChatSession).
     fun generateRaw(prompt: String, max: Int = 96) = jni.generateRaw(h, prompt, max)
 
+    // Mono-tour STREAMÉ : émet chaque morceau via onToken (false = stop). Permet de démarrer le TTS
+    // dès la 1ʳᵉ phrase. Récupère le découpage prefill/decode via lastStats() après l'appel.
+    fun generateStream(sys: String, usr: String, max: Int = 96, onToken: (String) -> Boolean) =
+        jni.generateStream(h, sys, usr, max, TokenCallback(onToken))
+
+    /** Session conversationnelle avec cache de préfixe KV : le system n'est prefillé qu'une fois. */
+    fun newSession(system: String) = LlmSession(this, jni, h, system)
+
+    fun lastStats(): GenStats = jni.getLastStats(h).let { GenStats(it[0], it[1], it[2]) }
+
     fun newChat(system: String) = ChatSession(this, system)
     fun reset() = jni.reset(h)
     fun release() = jni.free(h)
 }
 
+// Session LLM persistante : prefille le system une seule fois (cache de préfixe KV), puis chaque
+// `ask` ne prefille que le nouveau message user — le KV système + l'historique des tours est conservé
+// (mémoire conversationnelle gratuite). `reset()` repart du system (nouvelle conversation).
+// Gain mesuré : tour N+1 ~1,5 s au lieu de ~5,4 s (plus de re-prefill du system ~200 tokens).
+class LlmSession internal constructor(
+    private val engine: EngineLlmEngine,
+    private val jni: EngineJni,
+    private val h: Long,
+    system: String,
+) {
+    init { jni.sessionStart(h, system) }
+
+    /** Pose une question, streame la réponse via onToken (false = stop). Renvoie la réponse complète. */
+    fun ask(user: String, max: Int = 96, onToken: ((String) -> Boolean)? = null): String {
+        val sb = StringBuilder()
+        jni.sessionAsk(h, user, max, TokenCallback { piece ->
+            sb.append(piece)
+            onToken?.invoke(piece) ?: true
+        })
+        return sb.toString()
+    }
+
+    fun lastStats(): GenStats = engine.lastStats()
+    /** Vide l'historique des tours, garde le system prefillé. */
+    fun reset() = jni.sessionReset(h)
+}
+
 // Conversation multi-tour : accumule l'historique et construit le ChatML Qwen3.5 + thinking-off.
 // Structure identique à celle validée (jni/dual_ctx_mt.cpp) : mémoire conversationnelle correcte.
 class ChatSession(private val engine: EngineLlmEngine, private val system: String) {
diff --git a/dist/jni/kazeia_cosyvoice_jni.cpp b/dist/jni/kazeia_cosyvoice_jni.cpp
new file mode 100644
index 0000000..fe1754f
--- /dev/null
+++ b/dist/jni/kazeia_cosyvoice_jni.cpp
@@ -0,0 +1,119 @@
+// JNI bridge pour CosyVoice3 distillé (cosyvoice.cpp, CPU-only, pas de FastRPC/SELinux).
+// Pattern aligne sur kazeia_tts_jni.cpp (package com.kazeia.tts).
+// load(gguf) -> handle modele ; loadVoice(handle, cvps) -> handle voix ; synthesize(voice, text, speed) -> float PCM 24kHz.
+#include <jni.h>
+#include <cstdlib>
+#include <cstring>
+#include <string>
+
+#include "cosyvoice.h"
+// NB : on n'appelle AUCUN symbole ggml depuis la JNI (ggml est statique+masque dans libcosyvoice).
+// -> la JNI ne lie que libcosyvoice.so. Chargement via l'API haut-niveau (backend interne).
+
+namespace {
+
+struct Voice {
+    cosyvoice_prompt_speech_t ps = nullptr;
+    cosyvoice_prompt_t prompt = nullptr;
+    cosyvoice_tts_context_t tts = nullptr;
+};
+
+const char* cstr(JNIEnv* env, jstring s, std::string& buf) {
+    const char* p = env->GetStringUTFChars(s, nullptr);
+    buf = p ? p : "";
+    if (p) env->ReleaseStringUTFChars(s, p);
+    return buf.c_str();
+}
+
+} // namespace
+
+extern "C" {
+
+// nativeLoad(gguf, nfe, nThreads) : configure le mode reflow distille + charge le modele. Retourne le handle (0 si echec).
+JNIEXPORT jlong JNICALL
+Java_com_kazeia_tts_CosyVoiceJni_nativeLoad(JNIEnv* env, jobject, jstring jgguf, jint nfe, jint nThreads) {
+    std::string gguf;
+    cstr(env, jgguf, gguf);
+
+    // mode student distille : schedule lineaire + CFG off + N pas (lu par le loader patche)
+    setenv("CV_REFLOW", "1", 1);
+    char nbuf[8];
+    snprintf(nbuf, sizeof(nbuf), "%d", nfe > 0 ? (int)nfe : 2);
+    setenv("CV_NFE", nbuf, 1);
+
+    // streaming chunk-causal + cache K/V prompt persistant (2c) : flow ÷4 sur les tours 2+ (meme voix),
+    // RTF<1 soutenu sur V79. CV_PROMPT_DET = bruit prompt deterministe (prerequis du cache, qualite preservee).
+    setenv("CV_STREAM", "1", 1);
+    setenv("CV_STREAM_CACHE", "1", 1);
+    setenv("CV_PROMPT_DET", "1", 1);
+
+    // enregistrement des backends ggml (interne a libcosyvoice ; indispensable avant load)
+    cosyvoice_init_backend_from_path(nullptr);
+
+    cosyvoice_context_params_t params;
+    cosyvoice_init_default_context_params(&params);
+
+    // backend par defaut (CPU) + threads = concurrence materielle (8 sur V79) gere en interne.
+    // nThreads conserve dans l'API mais non force ici (le defaut = nb de coeurs, optimal V79).
+    (void)nThreads;
+    cosyvoice_context_t ctx = cosyvoice_load_from_file_with_params(gguf.c_str(), &params);
+    return reinterpret_cast<jlong>(ctx);
+}
+
+// nativeLoadVoice(handle, cvps) : charge un profil voix pre-enrole. Retourne le handle voix (0 si echec).
+JNIEXPORT jlong JNICALL
+Java_com_kazeia_tts_CosyVoiceJni_nativeLoadVoice(JNIEnv* env, jobject, jlong handle, jstring jcvps) {
+    auto ctx = reinterpret_cast<cosyvoice_context_t>(handle);
+    if (!ctx) return 0;
+    std::string cvps;
+    cstr(env, jcvps, cvps);
+
+    auto* v = new Voice();
+    v->ps = cosyvoice_prompt_speech_load_from_file(cvps.c_str());
+    if (!v->ps) { delete v; return 0; }
+    v->prompt = cosyvoice_prompt_init_from_prompt_speech(ctx, v->ps);
+    if (!v->prompt) { cosyvoice_prompt_speech_free(v->ps); delete v; return 0; }
+    v->tts = cosyvoice_tts_context_new(ctx, v->prompt);
+    if (!v->tts) { cosyvoice_prompt_free(v->prompt); cosyvoice_prompt_speech_free(v->ps); delete v; return 0; }
+    // build CPU-only = NO_ICU : la normalisation de texte ICU n'est pas dispo (normaliser cote app si besoin).
+    // split = true : decoupe par phrase (premier son plus rapide, streaming).
+    cosyvoice_tts_context_set_text_normalization_enabled(v->tts, false);
+    cosyvoice_tts_context_set_split_text_enabled(v->tts, true);
+    return reinterpret_cast<jlong>(v);
+}
+
+// nativeSynthesize(voice, text, speed) : synthese zero-shot. Retourne float[] PCM 24kHz mono (null si echec).
+JNIEXPORT jfloatArray JNICALL
+Java_com_kazeia_tts_CosyVoiceJni_nativeSynthesize(JNIEnv* env, jobject, jlong voiceHandle, jstring jtext, jfloat speed) {
+    auto* v = reinterpret_cast<Voice*>(voiceHandle);
+    if (!v || !v->tts) return nullptr;
+    std::string text;
+    cstr(env, jtext, text);
+
+    cosyvoice_generated_speech result = {};
+    if (!cosyvoice_tts_zero_shot(v->tts, text.c_str(), speed > 0 ? speed : 1.0f, &result)
+        || !result.data || result.length == 0) {
+        return nullptr;
+    }
+    jfloatArray out = env->NewFloatArray(result.length);
+    if (out) env->SetFloatArrayRegion(out, 0, result.length, result.data);
+    return out;
+}
+
+JNIEXPORT void JNICALL
+Java_com_kazeia_tts_CosyVoiceJni_nativeFreeVoice(JNIEnv*, jobject, jlong voiceHandle) {
+    auto* v = reinterpret_cast<Voice*>(voiceHandle);
+    if (!v) return;
+    if (v->tts) cosyvoice_tts_context_free(v->tts);
+    if (v->prompt) cosyvoice_prompt_free(v->prompt);
+    if (v->ps) cosyvoice_prompt_speech_free(v->ps);
+    delete v;
+}
+
+JNIEXPORT void JNICALL
+Java_com_kazeia_tts_CosyVoiceJni_nativeFree(JNIEnv*, jobject, jlong handle) {
+    auto ctx = reinterpret_cast<cosyvoice_context_t>(handle);
+    if (ctx) cosyvoice_free(ctx);
+}
+
+} // extern "C"
diff --git a/dist/jni/kazeia_engine_jni.cpp b/dist/jni/kazeia_engine_jni.cpp
index a548c94..bafb75f 100644
--- a/dist/jni/kazeia_engine_jni.cpp
+++ b/dist/jni/kazeia_engine_jni.cpp
@@ -14,6 +14,7 @@
 #include <vector>
 #include <cstring>
 #include <cmath>
+#include <chrono>
 #include "llama.h"
 #include "ggml-backend.h"
 #include "gguf.h"
@@ -34,8 +35,70 @@ struct KEngine {
     llama_model*   m_c;  llama_context* c_c;   // decode CPU  (nullptr si HTP contexte-unique)
     const llama_vocab* v; llama_sampler* s;
     int            pos_embd;                   // position courante en mode talker embeds-only (TTS)
+    // --- session conversationnelle + cache de prefixe KV (API sessionStart/Ask/Reset) ---
+    int            n_sys = -1;                 // checkpoint = fin du system prompt (-1 = pas de session)
+    int            n_past = 0;                 // position KV courante (system + tours accumulés)
+    std::vector<llama_token> sys_toks;         // tokens du system (pour re-prefill au reset des archis récurrentes)
+    // --- stats du dernier appel (prefill/decode), exposées via getLastStats ---
+    double         last_prefill_ms = 0, last_decode_ms = 0;
+    int            last_n_gen = 0;
 };
 
+static inline double now_ms() {
+    return std::chrono::duration<double, std::milli>(std::chrono::steady_clock::now().time_since_epoch()).count();
+}
+
+// Prefille `toks` (n) au pos de depart `start` (positions explicites), logits sur le dernier seulement.
+// Renvoie le pos final (start+n), ou -1 si echec.
+static int kengine_prefill_at(llama_context* ctx, const llama_token* toks, int n, int start) {
+    if (n <= 0) return start;
+    llama_seq_id zero = 0;
+    std::vector<llama_pos> pos(n);
+    std::vector<int32_t> nsid(n, 1);
+    std::vector<llama_seq_id*> sidp(n, &zero);
+    std::vector<int8_t> lg(n, 0);
+    for (int i = 0; i < n; ++i) pos[i] = start + i;
+    lg[n - 1] = 1;
+    llama_batch b{};
+    b.n_tokens = n; b.token = const_cast<llama_token*>(toks); b.pos = pos.data();
+    b.n_seq_id = nsid.data(); b.seq_id = sidp.data(); b.logits = lg.data();
+    if (llama_decode(ctx, b) != 0) return -1;
+    return start + n;
+}
+
+// Decode en streaming depuis les logits courants de `ctx`. Emet chaque piece via le callback Kotlin
+// `onTok(String):Boolean` (false = stop). Accumule le KV. Renvoie le pos final ; *n_gen = tokens generes.
+static int kengine_decode_stream(llama_context* ctx, KEngine* k, int start, int maxTok,
+                                 JNIEnv* e, jobject cb, jmethodID onTok, int* n_gen) {
+    llama_token id = llama_sampler_sample(k->s, ctx, -1);
+    int pos = start; char zbuf[256]; *n_gen = 0;
+    llama_seq_id zero = 0;
+    for (int i = 0; i < maxTok; ++i) {
+        if (llama_vocab_is_eog(k->v, id)) break;
+        int l = llama_token_to_piece(k->v, id, zbuf, sizeof zbuf, 0, true);
+        if (l > 0 && e && cb && onTok) {
+            jstring js = e->NewStringUTF(std::string(zbuf, l).c_str());
+            jboolean cont = e->CallBooleanMethod(cb, onTok, js);
+            e->DeleteLocalRef(js);
+            if (!cont) break;
+        }
+        (*n_gen)++;
+        llama_token tok = id; llama_pos pp = pos; int32_t ns = 1; llama_seq_id* sp = &zero; int8_t lgf = 1;
+        llama_batch sb{};
+        sb.n_tokens = 1; sb.token = &tok; sb.pos = &pp; sb.n_seq_id = &ns; sb.seq_id = &sp; sb.logits = &lgf;
+        if (llama_decode(ctx, sb) != 0) break;
+        pos++; id = llama_sampler_sample(k->s, ctx, -1);
+    }
+    return pos;
+}
+
+static std::vector<llama_token> kengine_tokenize(KEngine* k, const std::string& p, bool add_bos) {
+    int n = -llama_tokenize(k->v, p.c_str(), p.size(), nullptr, 0, add_bos, true);
+    std::vector<llama_token> t(n);
+    llama_tokenize(k->v, p.c_str(), p.size(), t.data(), n, add_bos, true);
+    return t;
+}
+
 static llama_context* make_ctx(llama_model* m, int nctx, int nthreads, enum llama_flash_attn_type fa) {
     auto cp = llama_context_default_params();
     cp.n_ctx = nctx; cp.n_batch = 2048; cp.n_threads = nthreads;
@@ -170,11 +233,136 @@ Java_com_kazeia_llm_EngineJni_generateRaw(JNIEnv* e, jobject, jlong h, jstring p
     return e->NewStringUTF(out.c_str());
 }
 
+// ============================================================================
+// Streaming + session + cache de prefixe KV (latence in-app).
+// Contexte unique = decode (c_c sinon c_h) : adapte au build CPU-only in-app.
+// generateStream = mono-tour streamé. sessionStart/Ask/Reset = system prefillé 1×, réutilisé.
+// ============================================================================
+
+static jmethodID get_ontoken(JNIEnv* e, jobject cb) {
+    if (!cb) return nullptr;
+    jclass cls = e->GetObjectClass(cb);
+    return e->GetMethodID(cls, "onToken", "(Ljava/lang/String;)Z");  // Boolean : false = stop
+}
+
+// generateStream(h, sys, usr, maxTok, callback) : mono-tour, KV remis à zéro, réponse streamée token par token.
+extern "C" JNIEXPORT void JNICALL
+Java_com_kazeia_llm_EngineJni_generateStream(JNIEnv* e, jobject, jlong h, jstring sys, jstring usr, jint maxTok, jobject cb) {
+    auto* k = (KEngine*) h;
+    llama_context* ctx = k->c_c ? k->c_c : k->c_h;
+    const char* sp = e->GetStringUTFChars(sys, 0); const char* up = e->GetStringUTFChars(usr, 0);
+    std::string p = "<|im_start|>system\n"; p += sp; p += "<|im_end|>\n<|im_start|>user\n"; p += up;
+    p += "<|im_end|>\n<|im_start|>assistant\n<think>\n\n</think>\n\n";
+    e->ReleaseStringUTFChars(sys, sp); e->ReleaseStringUTFChars(usr, up);
+
+    jmethodID onTok = get_ontoken(e, cb);
+    auto toks = kengine_tokenize(k, p, true);
+    llama_memory_clear(llama_get_memory(ctx), true);
+    k->n_sys = -1;  // generateStream est sans session
+
+    double t0 = now_ms();
+    int pos = kengine_prefill_at(ctx, toks.data(), (int)toks.size(), 0);
+    k->last_prefill_ms = now_ms() - t0;
+    if (pos < 0) { k->last_decode_ms = 0; k->last_n_gen = 0; return; }
+
+    double t1 = now_ms();
+    int ng = 0;
+    kengine_decode_stream(ctx, k, pos, maxTok, e, cb, onTok, &ng);
+    k->last_decode_ms = now_ms() - t1;
+    k->last_n_gen = ng;
+}
+
+// sessionStart(h, sys) : prefille le system prompt UNE fois et pose le checkpoint KV. Pas de génération.
+extern "C" JNIEXPORT void JNICALL
+Java_com_kazeia_llm_EngineJni_sessionStart(JNIEnv* e, jobject, jlong h, jstring sys) {
+    auto* k = (KEngine*) h;
+    llama_context* ctx = k->c_c ? k->c_c : k->c_h;
+    const char* sp = e->GetStringUTFChars(sys, 0);
+    std::string p = "<|im_start|>system\n"; p += sp; p += "<|im_end|>\n";
+    e->ReleaseStringUTFChars(sys, sp);
+
+    auto toks = kengine_tokenize(k, p, true);
+    llama_memory_clear(llama_get_memory(ctx), true);
+    if (k->s) llama_sampler_reset(k->s);
+    double t0 = now_ms();
+    int pos = kengine_prefill_at(ctx, toks.data(), (int)toks.size(), 0);
+    k->last_prefill_ms = now_ms() - t0; k->last_decode_ms = 0; k->last_n_gen = 0;
+    k->n_sys = (pos < 0) ? -1 : pos;
+    k->n_past = k->n_sys;
+    k->sys_toks = std::move(toks);   // mémorisés pour sessionReset (archis récurrentes)
+}
+
+// sessionAsk(h, usr, maxTok, callback) : ne prefille QUE le nouveau tour user (KV système+historique conservé).
+// Le KV accumule (mémoire conversationnelle). Appeler sessionReset pour repartir du system.
+extern "C" JNIEXPORT void JNICALL
+Java_com_kazeia_llm_EngineJni_sessionAsk(JNIEnv* e, jobject, jlong h, jstring usr, jint maxTok, jobject cb) {
+    auto* k = (KEngine*) h;
+    if (k->n_sys < 0) { k->last_prefill_ms = 0; k->last_decode_ms = 0; k->last_n_gen = 0; return; }
+    llama_context* ctx = k->c_c ? k->c_c : k->c_h;
+    const char* up = e->GetStringUTFChars(usr, 0);
+    std::string p;
+    if (k->n_past > k->n_sys) p = "<|im_end|>\n";  // ferme le tour assistant précédent (multi-tour)
+    p += "<|im_start|>user\n"; p += up; p += "<|im_end|>\n<|im_start|>assistant\n<think>\n\n</think>\n\n";
+    e->ReleaseStringUTFChars(usr, up);
+
+    jmethodID onTok = get_ontoken(e, cb);
+    auto toks = kengine_tokenize(k, p, false);  // continuation : pas de BOS
+
+    double t0 = now_ms();
+    int pos = kengine_prefill_at(ctx, toks.data(), (int)toks.size(), k->n_past);  // ne prefille que le user
+    k->last_prefill_ms = now_ms() - t0;
+    if (pos < 0) { k->last_decode_ms = 0; k->last_n_gen = 0; return; }
+
+    double t1 = now_ms();
+    int ng = 0;
+    int end = kengine_decode_stream(ctx, k, pos, maxTok, e, cb, onTok, &ng);
+    k->last_decode_ms = now_ms() - t1; k->last_n_gen = ng;
+    k->n_past = end;  // l'historique (réponse incluse) reste dans le KV
+}
+
+// sessionReset(h) : vide l'historique des tours, repart du checkpoint système.
+// Sur archi récurrente/hybride (Qwen3.5 DeltaNet : état SSM), le rewind PARTIEL
+// (seq_rm d'un suffixe) est impossible -> llama_memory_seq_rm renvoie false et ne
+// fait rien : le KV reste incohérent et le tour suivant sort vide. On teste donc
+// le retour : si le rewind échoue, reset COMPLET (clear + re-prefill du system).
+extern "C" JNIEXPORT void JNICALL
+Java_com_kazeia_llm_EngineJni_sessionReset(JNIEnv*, jobject, jlong h) {
+    auto* k = (KEngine*) h;
+    if (k->n_sys < 0) return;
+    llama_context* ctx = k->c_c ? k->c_c : k->c_h;
+    llama_memory_t mem = llama_get_memory(ctx);
+    if (llama_memory_seq_rm(mem, 0, k->n_sys, -1)) {
+        // rewind partiel OK (archi attention pure) : cheap, on garde le system en KV.
+        if (k->s) llama_sampler_reset(k->s);
+        k->n_past = k->n_sys;
+    } else {
+        // rewind impossible (récurrent/hybride) : reset complet + re-prefill system.
+        llama_memory_clear(mem, true);
+        if (k->s) llama_sampler_reset(k->s);
+        int pos = (k->sys_toks.empty())
+            ? -1
+            : kengine_prefill_at(ctx, k->sys_toks.data(), (int)k->sys_toks.size(), 0);
+        k->n_sys = (pos < 0) ? -1 : pos;
+        k->n_past = (pos < 0) ? 0  : pos;
+    }
+}
+
+// getLastStats(h) : [prefill_ms, decode_ms, n_tokens_generes] du dernier appel.
+extern "C" JNIEXPORT jlongArray JNICALL
+Java_com_kazeia_llm_EngineJni_getLastStats(JNIEnv* e, jobject, jlong h) {
+    auto* k = (KEngine*) h;
+    jlong vals[3] = { (jlong)(k->last_prefill_ms + 0.5), (jlong)(k->last_decode_ms + 0.5), (jlong)k->last_n_gen };
+    jlongArray arr = e->NewLongArray(3);
+    e->SetLongArrayRegion(arr, 0, 3, vals);
+    return arr;
+}
+
 extern "C" JNIEXPORT void JNICALL
 Java_com_kazeia_llm_EngineJni_reset(JNIEnv*, jobject, jlong h){
     auto* k = (KEngine*) h;
     if (k->c_h) llama_memory_clear(llama_get_memory(k->c_h), true);
     if (k->c_c) llama_memory_clear(llama_get_memory(k->c_c), true);
+    k->n_sys = -1; k->n_past = 0;
 }
 extern "C" JNIEXPORT void JNICALL
 Java_com_kazeia_llm_EngineJni_free(JNIEnv*, jobject, jlong h){
diff --git a/dist/jni/kazeia_tts_jni.cpp b/dist/jni/kazeia_tts_jni.cpp
index 16b472f..02c168f 100644
--- a/dist/jni/kazeia_tts_jni.cpp
+++ b/dist/jni/kazeia_tts_jni.cpp
@@ -12,6 +12,9 @@
 #include <jni.h>
 #include <string>
 #include <cstdio>
+#include <vector>
+#include <map>
+#include <mutex>
 
 namespace {
 
@@ -24,6 +27,12 @@ struct JStr {
     ~JStr() { if (j && c) env->ReleaseStringUTFChars(j, c); }
 };
 
+// Voix courante par handle : x_vector dérivé d'un WAV via le speaker encoder
+// (nativeSetVoiceWav). Appliqué en xvector_override à chaque nativeSynthesize.
+// Garde l'API synthesize inchangée (pas de param voix à propager partout).
+std::mutex g_voice_mtx;
+std::map<uintptr_t, std::vector<float>> g_voice_xvec;
+
 } // namespace
 
 extern "C" {
@@ -50,6 +59,13 @@ Java_com_kazeia_tts_TtsJni_nativeLoad(JNIEnv* env, jobject /*thiz*/,
     lc.use_htp      = (use_htp == JNI_TRUE);
     lc.n_threads    = n_threads;
     lc.cp_use_cache = (cp_use_cache == JNI_TRUE);
+    // Speaker encoder embarqué (clonage vocal "se baser sur les WAV"). Les assets
+    // vivent dans le dump dir ; si présents, on les passe pour activer
+    // tts_engine_encode_speaker_wav(). Absents -> x_vector fixture (damien).
+    const std::string se_path = std::string(dump.c ? dump.c : "") + "/speaker_encoder.gguf";
+    const std::string mb_path = std::string(dump.c ? dump.c : "") + "/mel_basis_qwen3tts.bin";
+    if (FILE* tf = fopen(se_path.c_str(), "rb")) { fclose(tf); lc.speaker_encoder_gguf = se_path.c_str(); }
+    if (FILE* tf = fopen(mb_path.c_str(), "rb")) { fclose(tf); lc.mel_basis_path = mb_path.c_str(); }
     auto * eng = tts_engine_load(lc);
     return (jlong)(uintptr_t)eng;
 }
@@ -79,6 +95,18 @@ Java_com_kazeia_tts_TtsJni_nativeSynthesize(JNIEnv* env, jobject /*thiz*/,
     sc.talker_top_p       = talker_top_p;
     sc.talker_rep_penalty = talker_rep_penalty;
 
+    // Voix courante (si un nativeSetVoiceWav a réussi pour ce handle).
+    std::vector<float> voice;
+    {
+        std::lock_guard<std::mutex> lk(g_voice_mtx);
+        auto it = g_voice_xvec.find((uintptr_t)handle);
+        if (it != g_voice_xvec.end()) voice = it->second;
+    }
+    if (!voice.empty()) {
+        sc.xvector_override     = voice.data();
+        sc.xvector_override_len = (int)voice.size();
+    }
+
     TtsSynthesizeResult R{ -100, 0, 0, 0, 0, 0, 0, 0 };
     if (eng) R = tts_engine_synthesize(eng, sc);
 
@@ -103,8 +131,36 @@ Java_com_kazeia_tts_TtsJni_nativeSynthesize(JNIEnv* env, jobject /*thiz*/,
     return arr;
 }
 
+// Dérive un x_vector depuis un WAV (mono/stéréo, n'importe quelle fréquence —
+// l'encoder downmixe + resample à 24k) et le mémorise comme voix courante pour
+// ce handle. Renvoie true si l'encodage a produit un x_vector de longueur valide.
+// Le swap prend effet au prochain nativeSynthesize. Requiert que nativeLoad ait
+// trouvé speaker_encoder.gguf + mel_basis dans le dump dir.
+JNIEXPORT jboolean JNICALL
+Java_com_kazeia_tts_TtsJni_nativeSetVoiceWav(JNIEnv* env, jobject /*thiz*/,
+                                             jlong handle, jstring wav_path) {
+    auto * eng = (TtsEngine*)(uintptr_t)handle;
+    if (!eng) return JNI_FALSE;
+    JStr wav(env, wav_path);
+    if (!wav.c) return JNI_FALSE;
+    std::vector<float> xv = tts_engine_encode_speaker_wav(eng, wav.c);
+    if (xv.empty()) {
+        fprintf(stderr, "nativeSetVoiceWav: encodage FAIL pour %s\n", wav.c);
+        return JNI_FALSE;
+    }
+    {
+        std::lock_guard<std::mutex> lk(g_voice_mtx);
+        g_voice_xvec[(uintptr_t)handle] = std::move(xv);
+    }
+    return JNI_TRUE;
+}
+
 JNIEXPORT void JNICALL
 Java_com_kazeia_tts_TtsJni_nativeFree(JNIEnv* /*env*/, jobject /*thiz*/, jlong handle) {
+    {
+        std::lock_guard<std::mutex> lk(g_voice_mtx);
+        g_voice_xvec.erase((uintptr_t)handle);
+    }
     auto * eng = (TtsEngine*)(uintptr_t)handle;
     tts_engine_free(eng);
 }
diff --git a/dist/jni/speaker_encoder.cpp b/dist/jni/speaker_encoder.cpp
index fc849e5..517ff22 100644
--- a/dist/jni/speaker_encoder.cpp
+++ b/dist/jni/speaker_encoder.cpp
@@ -400,19 +400,73 @@ static std::vector<float> read_wav_24k_mono(const char* path, int& sr_out) {
             fseek(f, csz, SEEK_CUR);  // skip LIST/JUNK/etc
         }
     }
-    if (data_off < 0 || channels != 1 || bps != 16) {
-        fprintf(stderr, "WAV must be mono 16-bit (got ch=%d bps=%d data_off=%ld)\n", channels, bps, data_off);
+    // 16 et 24 bit PCM (le catalogue voix mélange 16-bit/44.1k et 24-bit/48k
+    // WAVE_FORMAT_EXTENSIBLE). 24-bit = 3 octets little-endian signés.
+    const int bytes_ps = bps / 8;
+    if (data_off < 0 || (bps != 16 && bps != 24) || (channels != 1 && channels != 2) || sr == 0) {
+        fprintf(stderr, "WAV must be 16/24-bit mono/stereo (got ch=%d bps=%d sr=%u data_off=%ld)\n",
+                channels, bps, sr, data_off);
         fclose(f); return {};
     }
-    sr_out = (int)sr;
     fseek(f, data_off, SEEK_SET);
-    const int n = data_sz / 2;
-    std::vector<int16_t> raw(n);
-    fread(raw.data(), 2, n, f);
+    int nsamp = data_sz / bytes_ps;
+    // Plafond de durée : le x_vector est un embedding global d'énoncé, 15 s
+    // suffisent. Au-delà le graphe mel/encoder dépasse le pool ggml (512 MB)
+    // et abort (ggml_concat à ~30 s). Les WAV de voix sont des enregistrements
+    // pleins (elodie ~77 s) -> on tronque aux 15 premières secondes à la
+    // fréquence native (convention clip de référence, cf damien_15s_24k).
+    {
+        const int max_frames = (int)(15u * sr);
+        const int max_n = (channels == 2) ? max_frames * 2 : max_frames;
+        if (nsamp > max_n) nsamp = max_n;
+    }
+    std::vector<uint8_t> raw((size_t)nsamp * bytes_ps);
+    fread(raw.data(), 1, raw.size(), f);
     fclose(f);
-    std::vector<float> wav(n);
-    for (int i = 0; i < n; i++) wav[i] = (float)raw[i] / 32768.0f;
-    return wav;
+
+    // Conversion -> float [-1,1] par échantillon (entrelacé si stéréo).
+    std::vector<float> smp(nsamp);
+    if (bps == 16) {
+        for (int i = 0; i < nsamp; i++) {
+            int16_t v = (int16_t)(raw[2*i] | (raw[2*i+1] << 8));
+            smp[i] = (float)v / 32768.0f;
+        }
+    } else { // bps == 24
+        for (int i = 0; i < nsamp; i++) {
+            int32_t v = raw[3*i] | (raw[3*i+1] << 8) | (raw[3*i+2] << 16);
+            if (v & 0x800000) v |= ~0xFFFFFF; // sign-extend 24->32
+            smp[i] = (float)v / 8388608.0f;
+        }
+    }
+
+    // Downmix stéréo -> mono (moyenne L/R) à la fréquence native.
+    const int nframes = (channels == 2) ? nsamp / 2 : nsamp;
+    std::vector<float> mono(nframes);
+    if (channels == 2)
+        for (int i = 0; i < nframes; i++)
+            mono[i] = (smp[2 * i] + smp[2 * i + 1]) * 0.5f;
+    else
+        mono = std::move(smp);
+
+    // Resample linéaire -> 24 kHz si nécessaire. Le x_vector speaker est robuste
+    // à un resampling linéaire (pas de tonalité fine à préserver), donc pas besoin
+    // d'un filtre polyphase. Couvre les WAV enregistrés 44.1k/48k stéréo.
+    if ((int)sr != SAMPLE_RATE && nframes > 1) {
+        const double ratio = (double)SAMPLE_RATE / (double)sr;
+        const int outN = (int)(nframes * ratio);
+        std::vector<float> out(outN);
+        for (int i = 0; i < outN; i++) {
+            const double src = i / ratio;
+            const int i0 = (int)src;
+            const double t = src - i0;
+            const int i1 = (i0 + 1 < nframes) ? i0 + 1 : i0;
+            out[i] = mono[i0] * (float)(1.0 - t) + mono[i1] * (float)t;
+        }
+        sr_out = SAMPLE_RATE;
+        return out;
+    }
+    sr_out = (int)sr;
+    return mono;
 }
 
 // ============================================================================
diff --git a/dist/jni/test_cp_iso.cpp b/dist/jni/test_cp_iso.cpp
new file mode 100644
index 0000000..cdb19d2
--- /dev/null
+++ b/dist/jni/test_cp_iso.cpp
@@ -0,0 +1,69 @@
+// Isolation harness : feed PyTorch reference hidden (body[f,0]) + cb0_emb into the
+// ENGINE's cp_predict / cp_predict_cached, compare CB1..15 to golden. Greedy.
+//
+// But : prouver que le code+poids CP de l'engine reproduit le golden quand on lui donne
+// le HIDDEN de référence. Si OUI -> le CP est hors de cause, le bug est le hidden que
+// llama.cpp fournit en pipeline. Si NON -> bug dans cp_inference/sampler.
+//
+// usage: ./test_cp_iso cp_f16.gguf cp_heads.bin cp_codec_embs.bin test_cp_input.bin test_codes_python.bin [nthreads]
+#include "cp_inference.h"
+#include <cstdio>
+#include <cstdlib>
+#include <vector>
+#include <cmath>
+
+static const int N_EMBD = 1024, N_CB = 15;
+
+int main(int argc, char** argv) {
+    if (argc < 6) { fprintf(stderr, "usage: %s cp.gguf heads.bin embs.bin input.bin golden.bin [nthreads]\n", argv[0]); return 1; }
+    int nth = (argc > 6) ? atoi(argv[6]) : 4;
+
+    CPState s; s.n_threads = nth;
+    // GREEDY déterministe : temp=0 -> argmax, pas de rep_penalty.
+    s.sampler = { /*temp=*/0.0f, /*top_k=*/1, /*top_p=*/1.0f, /*rep_penalty=*/1.0f, /*rep_window=*/16, /*rng=*/1u, {} };
+
+    if (!cp_load(s, argv[1], argv[2], argv[3])) { fprintf(stderr, "cp_load FAIL\n"); return 2; }
+
+    // test_cp_input.bin : int32 T, puis T*2*1024 f32 (hidden, cb0_emb par frame)
+    FILE* fi = fopen(argv[4], "rb");
+    int32_t T = 0; if (fread(&T, 4, 1, fi) != 1) return 2;
+    std::vector<float> inbuf((size_t)T * 2 * N_EMBD);
+    if (fread(inbuf.data(), sizeof(float), inbuf.size(), fi) != inbuf.size()) return 2;
+    fclose(fi);
+
+    // golden : int32 n, puis n*16 int32
+    FILE* fg = fopen(argv[5], "rb");
+    int32_t ng = 0; if (fread(&ng, 4, 1, fg) != 1) return 2;
+    std::vector<int32_t> gold((size_t)ng * 16);
+    if (fread(gold.data(), sizeof(int32_t), gold.size(), fg) != gold.size()) return 2;
+    fclose(fg);
+
+    int nframes = T < ng ? T : ng;
+    fprintf(stderr, "T=%d golden=%d frames=%d nth=%d\n", T, ng, nframes, nth);
+
+    auto eval = [&](bool cached) {
+        long match = 0, total = 0; int perfect = 0;
+        for (int f = 0; f < nframes; f++) {
+            const float* hidden  = &inbuf[(size_t)f * 2 * N_EMBD];
+            const float* cb0_emb = &inbuf[(size_t)f * 2 * N_EMBD + N_EMBD];
+            int32_t codes[N_CB];
+            sampler_reset_history(s.sampler);
+            if (cached) cp_predict_cached(s, hidden, cb0_emb, codes);
+            else        cp_predict(s, hidden, cb0_emb, codes);
+            const int32_t* g = &gold[(size_t)f * 16];
+            int m = 0; for (int c = 0; c < N_CB; c++) if (codes[c] == g[1 + c]) m++;
+            match += m; total += N_CB; if (m == N_CB) perfect++;
+            if (f < 3 || m < N_CB)
+                fprintf(stderr, "  f%3d match %2d/15 CP=[%d,%d,%d,%d] PY=[%d,%d,%d,%d]\n",
+                        f, m, codes[0],codes[1],codes[2],codes[3], g[1],g[2],g[3],g[4]);
+        }
+        fprintf(stderr, "[%s] match %ld/%ld (%.1f%%) perfect %d/%d\n",
+                cached ? "cached" : "recompute", match, total, 100.0*match/total, perfect, nframes);
+    };
+
+    fprintf(stderr, "=== cp_predict (recompute oracle) ===\n");
+    eval(false);
+    fprintf(stderr, "=== cp_predict_cached (KV cache, engine default path) ===\n");
+    eval(true);
+    return 0;
+}
diff --git a/dist/lib-cpu/libggml-base.so b/dist/lib-cpu/libggml-base.so
new file mode 100755
index 0000000..2230162
Binary files /dev/null and b/dist/lib-cpu/libggml-base.so differ
diff --git a/dist/lib-cpu/libggml-cpu.so b/dist/lib-cpu/libggml-cpu.so
new file mode 100755
index 0000000..3810c15
Binary files /dev/null and b/dist/lib-cpu/libggml-cpu.so differ
diff --git a/dist/lib-cpu/libggml.so b/dist/lib-cpu/libggml.so
new file mode 100755
index 0000000..fa12922
Binary files /dev/null and b/dist/lib-cpu/libggml.so differ
diff --git a/dist/lib-cpu/libllama.so b/dist/lib-cpu/libllama.so
new file mode 100755
index 0000000..1205c72
Binary files /dev/null and b/dist/lib-cpu/libllama.so differ
diff --git a/dist/outetts/outetts_runner.cpp b/dist/outetts/outetts_runner.cpp
new file mode 100644
index 0000000..9715155
--- /dev/null
+++ b/dist/outetts/outetts_runner.cpp
@@ -0,0 +1,253 @@
+// Prototype E2E OuteTTS-1.0 : speaker JSON (v3) + texte -> GGUF talker (libllama) -> codes DAC -> ONNX decoder (ORT) -> WAV 24 kHz
+// Usage: outetts_runner <talker.gguf> <speaker.json> <dac.onnx> "<texte>" <out.wav> [n_threads=6] [ort_threads=2] [seed=42]
+#include "llama.h"
+#include <onnxruntime_cxx_api.h>
+#include <nlohmann/json.hpp>
+
+#include <algorithm>
+#include <chrono>
+#include <cmath>
+#include <cstdint>
+#include <cstdio>
+#include <cstring>
+#include <deque>
+#include <fstream>
+#include <random>
+#include <sstream>
+#include <string>
+#include <vector>
+
+using json = nlohmann::json;
+static double now_s() {
+    return std::chrono::duration<double>(std::chrono::steady_clock::now().time_since_epoch()).count();
+}
+
+// ---- prompt v3 (port de outetts/version/v3/prompt_processor.py, sans ftfy/NFKC : textes FR propres attendus)
+static std::string build_prompt(const json & spk, const std::string & input_text) {
+    std::string text = spk["text"].get<std::string>();
+    // merge_speaker_text : separateur ". " si la phrase speaker ne finit pas par ./?/!
+    std::string sep;
+    while (!text.empty() && text.back() == ' ') text.pop_back();
+    char last = text.empty() ? '.' : text.back();
+    if (last != '.' && last != '?' && last != '!') sep = ".";
+    std::string merged = text + sep + " " + input_text;
+
+    std::ostringstream p;
+    p << "<|im_start|>\n<|text_start|>" << merged << "<|text_end|>\n<|audio_start|>\n";
+
+    const auto & words = spk["words"];
+    for (size_t i = 0; i < words.size(); i++) {
+        const auto & w = words[i];
+        std::string wtxt = w["word"].get<std::string>();
+        if (i + 1 == words.size()) wtxt += sep; // le dernier mot speaker porte le separateur
+        char tbuf[32];
+        snprintf(tbuf, sizeof(tbuf), "<|t_%.2f|>", w["duration"].get<double>());
+        p << "<|word_start|>" << wtxt << "<|features|>" << tbuf
+          << "<|energy_" << w["features"]["energy"].get<int>() << "|>"
+          << "<|spectral_centroid_" << w["features"]["spectral_centroid"].get<int>() << "|>"
+          << "<|pitch_" << w["features"]["pitch"].get<int>() << "|>"
+          << "<|code|>";
+        const auto & c1 = w["c1"]; const auto & c2 = w["c2"];
+        for (size_t k = 0; k < c1.size(); k++)
+            p << "<|c1_" << c1[k].get<int>() << "|><|c2_" << c2[k].get<int>() << "|>";
+        p << "<|word_end|>";
+        if (i + 1 < words.size()) p << "\n";
+    }
+    p << "\n<|word_start|>";
+    return p.str();
+}
+
+static llama_token tok_id(const llama_vocab * vocab, const char * s) {
+    llama_token t[8];
+    int n = llama_tokenize(vocab, s, (int)strlen(s), t, 8, false, true);
+    if (n != 1) { fprintf(stderr, "token special inattendu '%s' -> %d tokens\n", s, n); exit(1); }
+    return t[0];
+}
+
+static void write_wav(const char * path, const float * x, size_t n, int sr) {
+    std::ofstream f(path, std::ios::binary);
+    auto w32 = [&](uint32_t v) { f.write((char *)&v, 4); };
+    auto w16 = [&](uint16_t v) { f.write((char *)&v, 2); };
+    f.write("RIFF", 4); w32(36 + (uint32_t)n * 2); f.write("WAVE", 4);
+    f.write("fmt ", 4); w32(16); w16(1); w16(1); w32(sr); w32(sr * 2); w16(2); w16(16);
+    f.write("data", 4); w32((uint32_t)n * 2);
+    for (size_t i = 0; i < n; i++) {
+        float v = x[i] < -1.f ? -1.f : (x[i] > 1.f ? 1.f : x[i]);
+        int16_t s = (int16_t)(v * 32767.f);
+        f.write((char *)&s, 2);
+    }
+}
+
+int main(int argc, char ** argv) {
+    if (argc < 6) { fprintf(stderr, "usage: %s talker.gguf speaker.json dac.onnx \"texte\" out.wav [t] [ort_t] [seed]\n", argv[0]); return 1; }
+    const char * gguf = argv[1], * spk_path = argv[2], * dac_path = argv[3], * text = argv[4], * out_path = argv[5];
+    int n_threads = argc > 6 ? atoi(argv[6]) : 6;
+    int ort_threads = argc > 7 ? atoi(argv[7]) : 2;
+    uint32_t seed = argc > 8 ? (uint32_t)atoi(argv[8]) : 42;
+    bool restricted = argc > 9 ? atoi(argv[9]) != 0 : true;  // sampling restreint a l'alphabet utile
+    bool kv8 = argc > 10 ? atoi(argv[10]) != 0 : false;      // KV cache q8_0 + flash-attn
+
+    json spk; { std::ifstream f(spk_path); f >> spk; }
+    std::string prompt = build_prompt(spk, text);
+
+    llama_backend_init();
+    llama_model_params mp = llama_model_default_params();
+    mp.n_gpu_layers = 0;
+    static ggml_backend_dev_t no_devices[] = { nullptr };
+    mp.devices = no_devices; // equivalent -dev none : pas d'enumeration HTP residuelle
+    llama_model * model = llama_model_load_from_file(gguf, mp);
+    if (!model) { fprintf(stderr, "load fail %s\n", gguf); return 1; }
+    const llama_vocab * vocab = llama_model_get_vocab(model);
+
+    llama_context_params cp = llama_context_default_params();
+    cp.n_ctx = argc > 11 ? atoi(argv[11]) : 8192; cp.n_batch = 512; cp.n_ubatch = 512;
+    cp.n_threads = n_threads; cp.n_threads_batch = n_threads;
+    if (kv8) {
+        cp.flash_attn_type = LLAMA_FLASH_ATTN_TYPE_ENABLED; // requis pour V quantise
+        cp.type_k = GGML_TYPE_Q8_0;
+        cp.type_v = GGML_TYPE_Q8_0;
+    }
+    llama_context * ctx = llama_init_from_model(model, cp);
+
+    // ids de reference (bases contigues verifiees: c1=[<|c1_0|>..], c2 idem)
+    const llama_token id_c1_0 = tok_id(vocab, "<|c1_0|>");
+    const llama_token id_c2_0 = tok_id(vocab, "<|c2_0|>");
+    const llama_token id_audio_end = tok_id(vocab, "<|audio_end|>");
+    const llama_token id_im_end = tok_id(vocab, "<|im_end|>");
+
+    // tokenize prompt
+    std::vector<llama_token> ptok(prompt.size() + 16);
+    int n_prompt = llama_tokenize(vocab, prompt.c_str(), (int)prompt.size(), ptok.data(), (int)ptok.size(), false, true);
+    if (n_prompt < 0) { fprintf(stderr, "tokenize fail\n"); return 1; }
+    ptok.resize(n_prompt);
+    fprintf(stderr, "prompt: %d tokens\n", n_prompt);
+
+    // sampler = defaults outetts: rep penalty 1.1 (fenetre 64), temp 0.4, top_k 40, top_p 0.9 (ordre HF)
+    // mode restreint : on ne considere que l'alphabet generable -> evite le tri de 157k logits/token
+    std::vector<llama_token> cand;
+    if (restricted) {
+        const llama_token id_specials_lo = tok_id(vocab, "<|endoftext|>"); // 151643, debut zone speciale
+        const int n_vocab = llama_vocab_n_tokens(vocab);
+        for (llama_token t = id_specials_lo; t < n_vocab; t++) cand.push_back(t); // specials + c1/c2 + features
+        // tokens du texte cible (les mots sont regeneres dans les blocs) : variantes avec/sans espace
+        std::string variants = std::string(text) + " " + text;
+        std::vector<llama_token> ttok(variants.size() + 16);
+        int nt = llama_tokenize(vocab, variants.c_str(), (int)variants.size(), ttok.data(), (int)ttok.size(), false, false);
+        for (int i = 0; i < nt; i++) cand.push_back(ttok[i]);
+        llama_token nl[4];
+        int nn = llama_tokenize(vocab, "\n", 1, nl, 4, false, false);
+        for (int i = 0; i < nn; i++) cand.push_back(nl[i]);
+        std::sort(cand.begin(), cand.end());
+        cand.erase(std::unique(cand.begin(), cand.end()), cand.end());
+        fprintf(stderr, "alphabet restreint: %zu / %d tokens\n", cand.size(), n_vocab);
+    }
+    std::mt19937 rng(seed);
+    std::deque<llama_token> last64;
+    struct Cd { llama_token id; float logit; };
+    auto sample_next = [&](void) -> llama_token {
+        const float * logits = llama_get_logits_ith(ctx, -1);
+        static std::vector<Cd> cds;
+        cds.clear();
+        if (restricted) {
+            for (llama_token t : cand) cds.push_back({t, logits[t]});
+        } else {
+            const int n_vocab = llama_vocab_n_tokens(vocab);
+            for (llama_token t = 0; t < n_vocab; t++) cds.push_back({t, logits[t]});
+        }
+        // rep penalty HF sur la fenetre 64
+        for (auto & c : cds) {
+            for (llama_token p : last64) {
+                if (p == c.id) { c.logit = c.logit > 0 ? c.logit / 1.1f : c.logit * 1.1f; break; }
+            }
+        }
+        // temp -> top_k -> top_p (ordre HF)
+        for (auto & c : cds) c.logit /= 0.4f;
+        size_t k = cds.size() < 40 ? cds.size() : 40;
+        std::partial_sort(cds.begin(), cds.begin() + k, cds.end(), [](const Cd & a, const Cd & b) { return a.logit > b.logit; });
+        cds.resize(k);
+        float mx = cds[0].logit, sum = 0;
+        for (auto & c : cds) { c.logit = expf(c.logit - mx); sum += c.logit; }
+        float cum = 0; size_t keep = k;
+        for (size_t i = 0; i < k; i++) { cum += cds[i].logit / sum; if (cum >= 0.9f) { keep = i + 1; break; } }
+        cds.resize(keep);
+        float sum2 = 0; for (auto & c : cds) sum2 += c.logit;
+        std::uniform_real_distribution<float> U(0.f, sum2);
+        float r = U(rng), acc = 0;
+        llama_token pick = cds.back().id;
+        for (auto & c : cds) { acc += c.logit; if (acc >= r) { pick = c.id; break; } }
+        last64.push_back(pick);
+        if (last64.size() > 64) last64.pop_front();
+        return pick;
+    };
+
+    // session DAC creee AVANT (en prod: une fois au demarrage)
+    double t0 = now_s();
+    Ort::Env env(ORT_LOGGING_LEVEL_ERROR, "dac");
+    Ort::SessionOptions so;
+    so.SetIntraOpNumThreads(ort_threads);
+    so.SetGraphOptimizationLevel(GraphOptimizationLevel::ORT_ENABLE_ALL);
+    Ort::Session session(env, dac_path, so);
+    fprintf(stderr, "dac session init: %.2fs\n", now_s() - t0);
+
+    // prefill par chunks de n_batch
+    t0 = now_s();
+    for (int off = 0; off < n_prompt; off += 512) {
+        int n = n_prompt - off < 512 ? n_prompt - off : 512;
+        llama_batch b = llama_batch_get_one(ptok.data() + off, n);
+        if (llama_decode(ctx, b)) { fprintf(stderr, "prefill fail @%d\n", off); return 1; }
+    }
+    double t_prefill = now_s() - t0;
+    llama_batch batch;
+
+    // decode
+    std::vector<int64_t> c1, c2;
+    int n_gen = 0; const int n_max = 6000;
+    t0 = now_s();
+    llama_token cur = 0;
+    double t_win = now_s();
+    while (n_gen < n_max) {
+        cur = sample_next();
+        n_gen++;
+        if (n_gen % 128 == 0) {
+            double tn = now_s();
+            fprintf(stderr, "  [%d] fenetre: %.1f tok/s (depth %d)\n", n_gen, 128.0 / (tn - t_win), n_prompt + n_gen);
+            t_win = tn;
+        }
+        if (cur == id_audio_end || cur == id_im_end) break;
+        if (cur >= id_c1_0 && cur < id_c1_0 + 1025) c1.push_back(cur - id_c1_0);
+        else if (cur >= id_c2_0 && cur < id_c2_0 + 1025) c2.push_back(cur - id_c2_0);
+        batch = llama_batch_get_one(&cur, 1);
+        if (llama_decode(ctx, batch)) { fprintf(stderr, "decode fail @%d\n", n_gen); return 1; }
+    }
+    double t_gen = now_s() - t0;
+    size_t n_frames = c1.size() < c2.size() ? c1.size() : c2.size();
+    fprintf(stderr, "gen: %d tokens en %.2fs (%.1f tok/s) -> %zu frames (%.2fs audio)\n",
+            n_gen, t_gen, n_gen / t_gen, n_frames, n_frames / 75.0);
+    if (n_frames == 0) { fprintf(stderr, "aucun code genere\n"); return 1; }
+
+    // DAC ONNX
+    t0 = now_s();
+    std::vector<int64_t> codes(2 * n_frames);
+    memcpy(codes.data(), c1.data(), n_frames * sizeof(int64_t));
+    memcpy(codes.data() + n_frames, c2.data(), n_frames * sizeof(int64_t));
+    std::vector<int64_t> shape = {1, 2, (int64_t)n_frames};
+    Ort::MemoryInfo mem = Ort::MemoryInfo::CreateCpu(OrtArenaAllocator, OrtMemTypeDefault);
+    Ort::Value in = Ort::Value::CreateTensor<int64_t>(mem, codes.data(), codes.size(), shape.data(), 3);
+    const char * in_names[] = {"codes"}; const char * out_names[] = {"audio"};
+    auto out = session.Run(Ort::RunOptions{}, in_names, &in, 1, out_names, 1);
+    double t_dac = now_s() - t0;
+    auto oshape = out[0].GetTensorTypeAndShapeInfo().GetShape();
+    size_t n_samples = (size_t)oshape[2];
+    write_wav(out_path, out[0].GetTensorData<float>(), n_samples, 24000);
+
+    double audio_s = n_samples / 24000.0;
+    fprintf(stderr, "dac: %.2fs | audio %.2fs | prefill %.2fs\n", t_dac, audio_s, t_prefill);
+    fprintf(stderr, "RTF gen=%.2f dac=%.2f total(sans prefill)=%.2f total(avec)=%.2f\n",
+            t_gen / audio_s, t_dac / audio_s, (t_gen + t_dac) / audio_s, (t_prefill + t_gen + t_dac) / audio_s);
+    printf("%s\n", out_path);
+
+    llama_free(ctx);
+    llama_model_free(model);
+    llama_backend_free();
+    return 0;
+}