15179 lines
666 KiB
C
15179 lines
666 KiB
C
/* Generated by Cython 0.28.3 */
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#define PY_SSIZE_T_CLEAN
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#include "Python.h"
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#ifndef Py_PYTHON_H
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#error Python headers needed to compile C extensions, please install development version of Python.
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#elif PY_VERSION_HEX < 0x02060000 || (0x03000000 <= PY_VERSION_HEX && PY_VERSION_HEX < 0x03030000)
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#error Cython requires Python 2.6+ or Python 3.3+.
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#else
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#define CYTHON_ABI "0_28_3"
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#define CYTHON_FUTURE_DIVISION 0
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#include <stddef.h>
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#ifndef offsetof
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#define offsetof(type, member) ( (size_t) & ((type*)0) -> member )
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#endif
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#if !defined(WIN32) && !defined(MS_WINDOWS)
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#ifndef __stdcall
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#define __stdcall
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#endif
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#ifndef __cdecl
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#define __cdecl
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#endif
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#ifndef __fastcall
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#define __fastcall
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#endif
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#endif
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#ifndef DL_IMPORT
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#define DL_IMPORT(t) t
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#endif
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#ifndef DL_EXPORT
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#define DL_EXPORT(t) t
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#endif
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#define __PYX_COMMA ,
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#ifndef HAVE_LONG_LONG
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#if PY_VERSION_HEX >= 0x02070000
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#define HAVE_LONG_LONG
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#endif
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#endif
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#ifndef PY_LONG_LONG
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#define PY_LONG_LONG LONG_LONG
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#endif
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#ifndef Py_HUGE_VAL
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#define Py_HUGE_VAL HUGE_VAL
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#endif
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#ifdef PYPY_VERSION
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#define CYTHON_COMPILING_IN_PYPY 1
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#define CYTHON_COMPILING_IN_PYSTON 0
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#define CYTHON_COMPILING_IN_CPYTHON 0
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#undef CYTHON_USE_TYPE_SLOTS
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#define CYTHON_USE_TYPE_SLOTS 0
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#undef CYTHON_USE_PYTYPE_LOOKUP
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#define CYTHON_USE_PYTYPE_LOOKUP 0
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#if PY_VERSION_HEX < 0x03050000
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#undef CYTHON_USE_ASYNC_SLOTS
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#define CYTHON_USE_ASYNC_SLOTS 0
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#elif !defined(CYTHON_USE_ASYNC_SLOTS)
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#define CYTHON_USE_ASYNC_SLOTS 1
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#endif
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#undef CYTHON_USE_PYLIST_INTERNALS
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#define CYTHON_USE_PYLIST_INTERNALS 0
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#undef CYTHON_USE_UNICODE_INTERNALS
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#define CYTHON_USE_UNICODE_INTERNALS 0
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#undef CYTHON_USE_UNICODE_WRITER
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#define CYTHON_USE_UNICODE_WRITER 0
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#undef CYTHON_USE_PYLONG_INTERNALS
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#define CYTHON_USE_PYLONG_INTERNALS 0
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#undef CYTHON_AVOID_BORROWED_REFS
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#define CYTHON_AVOID_BORROWED_REFS 1
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#undef CYTHON_ASSUME_SAFE_MACROS
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#define CYTHON_ASSUME_SAFE_MACROS 0
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#undef CYTHON_UNPACK_METHODS
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#define CYTHON_UNPACK_METHODS 0
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#undef CYTHON_FAST_THREAD_STATE
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#define CYTHON_FAST_THREAD_STATE 0
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#undef CYTHON_FAST_PYCALL
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#define CYTHON_FAST_PYCALL 0
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#undef CYTHON_PEP489_MULTI_PHASE_INIT
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#define CYTHON_PEP489_MULTI_PHASE_INIT 0
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#undef CYTHON_USE_TP_FINALIZE
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#define CYTHON_USE_TP_FINALIZE 0
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#elif defined(PYSTON_VERSION)
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#define CYTHON_COMPILING_IN_PYPY 0
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#define CYTHON_COMPILING_IN_PYSTON 1
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#define CYTHON_COMPILING_IN_CPYTHON 0
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#ifndef CYTHON_USE_TYPE_SLOTS
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#define CYTHON_USE_TYPE_SLOTS 1
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#endif
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#undef CYTHON_USE_PYTYPE_LOOKUP
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#define CYTHON_USE_PYTYPE_LOOKUP 0
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#undef CYTHON_USE_ASYNC_SLOTS
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#define CYTHON_USE_ASYNC_SLOTS 0
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#undef CYTHON_USE_PYLIST_INTERNALS
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#define CYTHON_USE_PYLIST_INTERNALS 0
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#ifndef CYTHON_USE_UNICODE_INTERNALS
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#define CYTHON_USE_UNICODE_INTERNALS 1
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#endif
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#undef CYTHON_USE_UNICODE_WRITER
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#define CYTHON_USE_UNICODE_WRITER 0
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#undef CYTHON_USE_PYLONG_INTERNALS
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#define CYTHON_USE_PYLONG_INTERNALS 0
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#ifndef CYTHON_AVOID_BORROWED_REFS
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#define CYTHON_AVOID_BORROWED_REFS 0
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#endif
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#ifndef CYTHON_ASSUME_SAFE_MACROS
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#define CYTHON_ASSUME_SAFE_MACROS 1
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#endif
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#ifndef CYTHON_UNPACK_METHODS
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#define CYTHON_UNPACK_METHODS 1
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#endif
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#undef CYTHON_FAST_THREAD_STATE
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#define CYTHON_FAST_THREAD_STATE 0
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#undef CYTHON_FAST_PYCALL
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#define CYTHON_FAST_PYCALL 0
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#undef CYTHON_PEP489_MULTI_PHASE_INIT
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#define CYTHON_PEP489_MULTI_PHASE_INIT 0
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#undef CYTHON_USE_TP_FINALIZE
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#define CYTHON_USE_TP_FINALIZE 0
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#else
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#define CYTHON_COMPILING_IN_PYPY 0
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#define CYTHON_COMPILING_IN_PYSTON 0
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#define CYTHON_COMPILING_IN_CPYTHON 1
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#ifndef CYTHON_USE_TYPE_SLOTS
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#define CYTHON_USE_TYPE_SLOTS 1
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#endif
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#if PY_VERSION_HEX < 0x02070000
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#undef CYTHON_USE_PYTYPE_LOOKUP
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#define CYTHON_USE_PYTYPE_LOOKUP 0
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#elif !defined(CYTHON_USE_PYTYPE_LOOKUP)
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#define CYTHON_USE_PYTYPE_LOOKUP 1
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#endif
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#if PY_MAJOR_VERSION < 3
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#undef CYTHON_USE_ASYNC_SLOTS
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#define CYTHON_USE_ASYNC_SLOTS 0
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#elif !defined(CYTHON_USE_ASYNC_SLOTS)
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#define CYTHON_USE_ASYNC_SLOTS 1
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#endif
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#if PY_VERSION_HEX < 0x02070000
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#undef CYTHON_USE_PYLONG_INTERNALS
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#define CYTHON_USE_PYLONG_INTERNALS 0
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#elif !defined(CYTHON_USE_PYLONG_INTERNALS)
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#define CYTHON_USE_PYLONG_INTERNALS 1
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#endif
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#ifndef CYTHON_USE_PYLIST_INTERNALS
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#define CYTHON_USE_PYLIST_INTERNALS 1
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#endif
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#ifndef CYTHON_USE_UNICODE_INTERNALS
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#define CYTHON_USE_UNICODE_INTERNALS 1
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#endif
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#if PY_VERSION_HEX < 0x030300F0
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#undef CYTHON_USE_UNICODE_WRITER
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#define CYTHON_USE_UNICODE_WRITER 0
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#elif !defined(CYTHON_USE_UNICODE_WRITER)
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#define CYTHON_USE_UNICODE_WRITER 1
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#endif
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#ifndef CYTHON_AVOID_BORROWED_REFS
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#define CYTHON_AVOID_BORROWED_REFS 0
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#endif
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#ifndef CYTHON_ASSUME_SAFE_MACROS
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#define CYTHON_ASSUME_SAFE_MACROS 1
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#endif
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#ifndef CYTHON_UNPACK_METHODS
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#define CYTHON_UNPACK_METHODS 1
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#endif
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#ifndef CYTHON_FAST_THREAD_STATE
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#define CYTHON_FAST_THREAD_STATE 1
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#endif
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#ifndef CYTHON_FAST_PYCALL
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#define CYTHON_FAST_PYCALL 1
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#endif
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#ifndef CYTHON_PEP489_MULTI_PHASE_INIT
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#define CYTHON_PEP489_MULTI_PHASE_INIT (0 && PY_VERSION_HEX >= 0x03050000)
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#endif
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#ifndef CYTHON_USE_TP_FINALIZE
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#define CYTHON_USE_TP_FINALIZE (PY_VERSION_HEX >= 0x030400a1)
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#endif
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#endif
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#if !defined(CYTHON_FAST_PYCCALL)
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#define CYTHON_FAST_PYCCALL (CYTHON_FAST_PYCALL && PY_VERSION_HEX >= 0x030600B1)
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#endif
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#if CYTHON_USE_PYLONG_INTERNALS
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#include "longintrepr.h"
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#undef SHIFT
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#undef BASE
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#undef MASK
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#endif
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#ifndef __has_attribute
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#define __has_attribute(x) 0
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#endif
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#ifndef __has_cpp_attribute
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#define __has_cpp_attribute(x) 0
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#endif
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#ifndef CYTHON_RESTRICT
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#if defined(__GNUC__)
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#define CYTHON_RESTRICT __restrict__
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#elif defined(_MSC_VER) && _MSC_VER >= 1400
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#define CYTHON_RESTRICT __restrict
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#elif defined (__STDC_VERSION__) && __STDC_VERSION__ >= 199901L
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#define CYTHON_RESTRICT restrict
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#else
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#define CYTHON_RESTRICT
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#endif
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#endif
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#ifndef CYTHON_UNUSED
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# if defined(__GNUC__)
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# if !(defined(__cplusplus)) || (__GNUC__ > 3 || (__GNUC__ == 3 && __GNUC_MINOR__ >= 4))
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# define CYTHON_UNUSED __attribute__ ((__unused__))
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# else
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# define CYTHON_UNUSED
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# endif
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# elif defined(__ICC) || (defined(__INTEL_COMPILER) && !defined(_MSC_VER))
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# define CYTHON_UNUSED __attribute__ ((__unused__))
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# else
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# define CYTHON_UNUSED
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# endif
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#endif
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#ifndef CYTHON_MAYBE_UNUSED_VAR
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# if defined(__cplusplus)
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template<class T> void CYTHON_MAYBE_UNUSED_VAR( const T& ) { }
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# else
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# define CYTHON_MAYBE_UNUSED_VAR(x) (void)(x)
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# endif
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#endif
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#ifndef CYTHON_NCP_UNUSED
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# if CYTHON_COMPILING_IN_CPYTHON
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# define CYTHON_NCP_UNUSED
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# else
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# define CYTHON_NCP_UNUSED CYTHON_UNUSED
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# endif
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#endif
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#define __Pyx_void_to_None(void_result) ((void)(void_result), Py_INCREF(Py_None), Py_None)
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#ifdef _MSC_VER
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#ifndef _MSC_STDINT_H_
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#if _MSC_VER < 1300
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typedef unsigned char uint8_t;
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typedef unsigned int uint32_t;
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#else
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typedef unsigned __int8 uint8_t;
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typedef unsigned __int32 uint32_t;
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#endif
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#endif
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#else
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#include <stdint.h>
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#endif
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#ifndef CYTHON_FALLTHROUGH
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#if defined(__cplusplus) && __cplusplus >= 201103L
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#if __has_cpp_attribute(fallthrough)
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#define CYTHON_FALLTHROUGH [[fallthrough]]
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#elif __has_cpp_attribute(clang::fallthrough)
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#define CYTHON_FALLTHROUGH [[clang::fallthrough]]
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#elif __has_cpp_attribute(gnu::fallthrough)
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#define CYTHON_FALLTHROUGH [[gnu::fallthrough]]
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#endif
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#endif
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#ifndef CYTHON_FALLTHROUGH
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#if __has_attribute(fallthrough)
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#define CYTHON_FALLTHROUGH __attribute__((fallthrough))
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#else
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#define CYTHON_FALLTHROUGH
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#endif
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#endif
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#if defined(__clang__ ) && defined(__apple_build_version__)
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#if __apple_build_version__ < 7000000
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#undef CYTHON_FALLTHROUGH
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#define CYTHON_FALLTHROUGH
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#endif
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#endif
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#endif
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#ifndef CYTHON_INLINE
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#if defined(__clang__)
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#define CYTHON_INLINE __inline__ __attribute__ ((__unused__))
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#elif defined(__GNUC__)
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#define CYTHON_INLINE __inline__
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#elif defined(_MSC_VER)
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#define CYTHON_INLINE __inline
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#elif defined (__STDC_VERSION__) && __STDC_VERSION__ >= 199901L
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#define CYTHON_INLINE inline
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#else
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#define CYTHON_INLINE
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#endif
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#endif
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#if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX < 0x02070600 && !defined(Py_OptimizeFlag)
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#define Py_OptimizeFlag 0
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#endif
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#define __PYX_BUILD_PY_SSIZE_T "n"
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#define CYTHON_FORMAT_SSIZE_T "z"
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#if PY_MAJOR_VERSION < 3
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#define __Pyx_BUILTIN_MODULE_NAME "__builtin__"
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#define __Pyx_PyCode_New(a, k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos)\
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PyCode_New(a+k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos)
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#define __Pyx_DefaultClassType PyClass_Type
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#else
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#define __Pyx_BUILTIN_MODULE_NAME "builtins"
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#define __Pyx_PyCode_New(a, k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos)\
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PyCode_New(a, k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos)
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#define __Pyx_DefaultClassType PyType_Type
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#endif
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#ifndef Py_TPFLAGS_CHECKTYPES
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#define Py_TPFLAGS_CHECKTYPES 0
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#endif
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#ifndef Py_TPFLAGS_HAVE_INDEX
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#define Py_TPFLAGS_HAVE_INDEX 0
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#endif
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#ifndef Py_TPFLAGS_HAVE_NEWBUFFER
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#define Py_TPFLAGS_HAVE_NEWBUFFER 0
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#endif
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#ifndef Py_TPFLAGS_HAVE_FINALIZE
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#define Py_TPFLAGS_HAVE_FINALIZE 0
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#endif
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#if PY_VERSION_HEX <= 0x030700A3 || !defined(METH_FASTCALL)
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#ifndef METH_FASTCALL
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#define METH_FASTCALL 0x80
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#endif
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typedef PyObject *(*__Pyx_PyCFunctionFast) (PyObject *self, PyObject *const *args, Py_ssize_t nargs);
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typedef PyObject *(*__Pyx_PyCFunctionFastWithKeywords) (PyObject *self, PyObject *const *args,
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Py_ssize_t nargs, PyObject *kwnames);
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#else
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#define __Pyx_PyCFunctionFast _PyCFunctionFast
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#define __Pyx_PyCFunctionFastWithKeywords _PyCFunctionFastWithKeywords
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#endif
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#if CYTHON_FAST_PYCCALL
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#define __Pyx_PyFastCFunction_Check(func)\
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((PyCFunction_Check(func) && (METH_FASTCALL == (PyCFunction_GET_FLAGS(func) & ~(METH_CLASS | METH_STATIC | METH_COEXIST | METH_KEYWORDS)))))
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#else
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#define __Pyx_PyFastCFunction_Check(func) 0
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#endif
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#if CYTHON_COMPILING_IN_PYPY && !defined(PyObject_Malloc)
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#define PyObject_Malloc(s) PyMem_Malloc(s)
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#define PyObject_Free(p) PyMem_Free(p)
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#define PyObject_Realloc(p) PyMem_Realloc(p)
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#endif
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#if CYTHON_COMPILING_IN_PYSTON
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#define __Pyx_PyCode_HasFreeVars(co) PyCode_HasFreeVars(co)
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#define __Pyx_PyFrame_SetLineNumber(frame, lineno) PyFrame_SetLineNumber(frame, lineno)
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#else
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#define __Pyx_PyCode_HasFreeVars(co) (PyCode_GetNumFree(co) > 0)
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#define __Pyx_PyFrame_SetLineNumber(frame, lineno) (frame)->f_lineno = (lineno)
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#endif
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#if !CYTHON_FAST_THREAD_STATE || PY_VERSION_HEX < 0x02070000
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#define __Pyx_PyThreadState_Current PyThreadState_GET()
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#elif PY_VERSION_HEX >= 0x03060000
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#define __Pyx_PyThreadState_Current _PyThreadState_UncheckedGet()
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#elif PY_VERSION_HEX >= 0x03000000
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#define __Pyx_PyThreadState_Current PyThreadState_GET()
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#else
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#define __Pyx_PyThreadState_Current _PyThreadState_Current
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#endif
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#if PY_VERSION_HEX < 0x030700A2 && !defined(PyThread_tss_create) && !defined(Py_tss_NEEDS_INIT)
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#include "pythread.h"
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#define Py_tss_NEEDS_INIT 0
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typedef int Py_tss_t;
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static CYTHON_INLINE int PyThread_tss_create(Py_tss_t *key) {
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*key = PyThread_create_key();
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return 0; // PyThread_create_key reports success always
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}
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static CYTHON_INLINE Py_tss_t * PyThread_tss_alloc(void) {
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Py_tss_t *key = (Py_tss_t *)PyObject_Malloc(sizeof(Py_tss_t));
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*key = Py_tss_NEEDS_INIT;
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return key;
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}
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static CYTHON_INLINE void PyThread_tss_free(Py_tss_t *key) {
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PyObject_Free(key);
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}
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static CYTHON_INLINE int PyThread_tss_is_created(Py_tss_t *key) {
|
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return *key != Py_tss_NEEDS_INIT;
|
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}
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static CYTHON_INLINE void PyThread_tss_delete(Py_tss_t *key) {
|
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PyThread_delete_key(*key);
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*key = Py_tss_NEEDS_INIT;
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}
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static CYTHON_INLINE int PyThread_tss_set(Py_tss_t *key, void *value) {
|
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return PyThread_set_key_value(*key, value);
|
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}
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static CYTHON_INLINE void * PyThread_tss_get(Py_tss_t *key) {
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return PyThread_get_key_value(*key);
|
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}
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#endif // TSS (Thread Specific Storage) API
|
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#if CYTHON_COMPILING_IN_CPYTHON || defined(_PyDict_NewPresized)
|
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#define __Pyx_PyDict_NewPresized(n) ((n <= 8) ? PyDict_New() : _PyDict_NewPresized(n))
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#else
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#define __Pyx_PyDict_NewPresized(n) PyDict_New()
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#endif
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#if PY_MAJOR_VERSION >= 3 || CYTHON_FUTURE_DIVISION
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#define __Pyx_PyNumber_Divide(x,y) PyNumber_TrueDivide(x,y)
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#define __Pyx_PyNumber_InPlaceDivide(x,y) PyNumber_InPlaceTrueDivide(x,y)
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#else
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#define __Pyx_PyNumber_Divide(x,y) PyNumber_Divide(x,y)
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#define __Pyx_PyNumber_InPlaceDivide(x,y) PyNumber_InPlaceDivide(x,y)
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#endif
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#if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX >= 0x030500A1 && CYTHON_USE_UNICODE_INTERNALS
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#define __Pyx_PyDict_GetItemStr(dict, name) _PyDict_GetItem_KnownHash(dict, name, ((PyASCIIObject *) name)->hash)
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#else
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#define __Pyx_PyDict_GetItemStr(dict, name) PyDict_GetItem(dict, name)
|
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#endif
|
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#if PY_VERSION_HEX > 0x03030000 && defined(PyUnicode_KIND)
|
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#define CYTHON_PEP393_ENABLED 1
|
|
#define __Pyx_PyUnicode_READY(op) (likely(PyUnicode_IS_READY(op)) ?\
|
|
0 : _PyUnicode_Ready((PyObject *)(op)))
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#define __Pyx_PyUnicode_GET_LENGTH(u) PyUnicode_GET_LENGTH(u)
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#define __Pyx_PyUnicode_READ_CHAR(u, i) PyUnicode_READ_CHAR(u, i)
|
|
#define __Pyx_PyUnicode_MAX_CHAR_VALUE(u) PyUnicode_MAX_CHAR_VALUE(u)
|
|
#define __Pyx_PyUnicode_KIND(u) PyUnicode_KIND(u)
|
|
#define __Pyx_PyUnicode_DATA(u) PyUnicode_DATA(u)
|
|
#define __Pyx_PyUnicode_READ(k, d, i) PyUnicode_READ(k, d, i)
|
|
#define __Pyx_PyUnicode_WRITE(k, d, i, ch) PyUnicode_WRITE(k, d, i, ch)
|
|
#define __Pyx_PyUnicode_IS_TRUE(u) (0 != (likely(PyUnicode_IS_READY(u)) ? PyUnicode_GET_LENGTH(u) : PyUnicode_GET_SIZE(u)))
|
|
#else
|
|
#define CYTHON_PEP393_ENABLED 0
|
|
#define PyUnicode_1BYTE_KIND 1
|
|
#define PyUnicode_2BYTE_KIND 2
|
|
#define PyUnicode_4BYTE_KIND 4
|
|
#define __Pyx_PyUnicode_READY(op) (0)
|
|
#define __Pyx_PyUnicode_GET_LENGTH(u) PyUnicode_GET_SIZE(u)
|
|
#define __Pyx_PyUnicode_READ_CHAR(u, i) ((Py_UCS4)(PyUnicode_AS_UNICODE(u)[i]))
|
|
#define __Pyx_PyUnicode_MAX_CHAR_VALUE(u) ((sizeof(Py_UNICODE) == 2) ? 65535 : 1114111)
|
|
#define __Pyx_PyUnicode_KIND(u) (sizeof(Py_UNICODE))
|
|
#define __Pyx_PyUnicode_DATA(u) ((void*)PyUnicode_AS_UNICODE(u))
|
|
#define __Pyx_PyUnicode_READ(k, d, i) ((void)(k), (Py_UCS4)(((Py_UNICODE*)d)[i]))
|
|
#define __Pyx_PyUnicode_WRITE(k, d, i, ch) (((void)(k)), ((Py_UNICODE*)d)[i] = ch)
|
|
#define __Pyx_PyUnicode_IS_TRUE(u) (0 != PyUnicode_GET_SIZE(u))
|
|
#endif
|
|
#if CYTHON_COMPILING_IN_PYPY
|
|
#define __Pyx_PyUnicode_Concat(a, b) PyNumber_Add(a, b)
|
|
#define __Pyx_PyUnicode_ConcatSafe(a, b) PyNumber_Add(a, b)
|
|
#else
|
|
#define __Pyx_PyUnicode_Concat(a, b) PyUnicode_Concat(a, b)
|
|
#define __Pyx_PyUnicode_ConcatSafe(a, b) ((unlikely((a) == Py_None) || unlikely((b) == Py_None)) ?\
|
|
PyNumber_Add(a, b) : __Pyx_PyUnicode_Concat(a, b))
|
|
#endif
|
|
#if CYTHON_COMPILING_IN_PYPY && !defined(PyUnicode_Contains)
|
|
#define PyUnicode_Contains(u, s) PySequence_Contains(u, s)
|
|
#endif
|
|
#if CYTHON_COMPILING_IN_PYPY && !defined(PyByteArray_Check)
|
|
#define PyByteArray_Check(obj) PyObject_TypeCheck(obj, &PyByteArray_Type)
|
|
#endif
|
|
#if CYTHON_COMPILING_IN_PYPY && !defined(PyObject_Format)
|
|
#define PyObject_Format(obj, fmt) PyObject_CallMethod(obj, "__format__", "O", fmt)
|
|
#endif
|
|
#define __Pyx_PyString_FormatSafe(a, b) ((unlikely((a) == Py_None)) ? PyNumber_Remainder(a, b) : __Pyx_PyString_Format(a, b))
|
|
#define __Pyx_PyUnicode_FormatSafe(a, b) ((unlikely((a) == Py_None)) ? PyNumber_Remainder(a, b) : PyUnicode_Format(a, b))
|
|
#if PY_MAJOR_VERSION >= 3
|
|
#define __Pyx_PyString_Format(a, b) PyUnicode_Format(a, b)
|
|
#else
|
|
#define __Pyx_PyString_Format(a, b) PyString_Format(a, b)
|
|
#endif
|
|
#if PY_MAJOR_VERSION < 3 && !defined(PyObject_ASCII)
|
|
#define PyObject_ASCII(o) PyObject_Repr(o)
|
|
#endif
|
|
#if PY_MAJOR_VERSION >= 3
|
|
#define PyBaseString_Type PyUnicode_Type
|
|
#define PyStringObject PyUnicodeObject
|
|
#define PyString_Type PyUnicode_Type
|
|
#define PyString_Check PyUnicode_Check
|
|
#define PyString_CheckExact PyUnicode_CheckExact
|
|
#define PyObject_Unicode PyObject_Str
|
|
#endif
|
|
#if PY_MAJOR_VERSION >= 3
|
|
#define __Pyx_PyBaseString_Check(obj) PyUnicode_Check(obj)
|
|
#define __Pyx_PyBaseString_CheckExact(obj) PyUnicode_CheckExact(obj)
|
|
#else
|
|
#define __Pyx_PyBaseString_Check(obj) (PyString_Check(obj) || PyUnicode_Check(obj))
|
|
#define __Pyx_PyBaseString_CheckExact(obj) (PyString_CheckExact(obj) || PyUnicode_CheckExact(obj))
|
|
#endif
|
|
#ifndef PySet_CheckExact
|
|
#define PySet_CheckExact(obj) (Py_TYPE(obj) == &PySet_Type)
|
|
#endif
|
|
#if CYTHON_ASSUME_SAFE_MACROS
|
|
#define __Pyx_PySequence_SIZE(seq) Py_SIZE(seq)
|
|
#else
|
|
#define __Pyx_PySequence_SIZE(seq) PySequence_Size(seq)
|
|
#endif
|
|
#if PY_MAJOR_VERSION >= 3
|
|
#define PyIntObject PyLongObject
|
|
#define PyInt_Type PyLong_Type
|
|
#define PyInt_Check(op) PyLong_Check(op)
|
|
#define PyInt_CheckExact(op) PyLong_CheckExact(op)
|
|
#define PyInt_FromString PyLong_FromString
|
|
#define PyInt_FromUnicode PyLong_FromUnicode
|
|
#define PyInt_FromLong PyLong_FromLong
|
|
#define PyInt_FromSize_t PyLong_FromSize_t
|
|
#define PyInt_FromSsize_t PyLong_FromSsize_t
|
|
#define PyInt_AsLong PyLong_AsLong
|
|
#define PyInt_AS_LONG PyLong_AS_LONG
|
|
#define PyInt_AsSsize_t PyLong_AsSsize_t
|
|
#define PyInt_AsUnsignedLongMask PyLong_AsUnsignedLongMask
|
|
#define PyInt_AsUnsignedLongLongMask PyLong_AsUnsignedLongLongMask
|
|
#define PyNumber_Int PyNumber_Long
|
|
#endif
|
|
#if PY_MAJOR_VERSION >= 3
|
|
#define PyBoolObject PyLongObject
|
|
#endif
|
|
#if PY_MAJOR_VERSION >= 3 && CYTHON_COMPILING_IN_PYPY
|
|
#ifndef PyUnicode_InternFromString
|
|
#define PyUnicode_InternFromString(s) PyUnicode_FromString(s)
|
|
#endif
|
|
#endif
|
|
#if PY_VERSION_HEX < 0x030200A4
|
|
typedef long Py_hash_t;
|
|
#define __Pyx_PyInt_FromHash_t PyInt_FromLong
|
|
#define __Pyx_PyInt_AsHash_t PyInt_AsLong
|
|
#else
|
|
#define __Pyx_PyInt_FromHash_t PyInt_FromSsize_t
|
|
#define __Pyx_PyInt_AsHash_t PyInt_AsSsize_t
|
|
#endif
|
|
#if PY_MAJOR_VERSION >= 3
|
|
#define __Pyx_PyMethod_New(func, self, klass) ((self) ? PyMethod_New(func, self) : (Py_INCREF(func), func))
|
|
#else
|
|
#define __Pyx_PyMethod_New(func, self, klass) PyMethod_New(func, self, klass)
|
|
#endif
|
|
#if CYTHON_USE_ASYNC_SLOTS
|
|
#if PY_VERSION_HEX >= 0x030500B1
|
|
#define __Pyx_PyAsyncMethodsStruct PyAsyncMethods
|
|
#define __Pyx_PyType_AsAsync(obj) (Py_TYPE(obj)->tp_as_async)
|
|
#else
|
|
#define __Pyx_PyType_AsAsync(obj) ((__Pyx_PyAsyncMethodsStruct*) (Py_TYPE(obj)->tp_reserved))
|
|
#endif
|
|
#else
|
|
#define __Pyx_PyType_AsAsync(obj) NULL
|
|
#endif
|
|
#ifndef __Pyx_PyAsyncMethodsStruct
|
|
typedef struct {
|
|
unaryfunc am_await;
|
|
unaryfunc am_aiter;
|
|
unaryfunc am_anext;
|
|
} __Pyx_PyAsyncMethodsStruct;
|
|
#endif
|
|
|
|
#if defined(WIN32) || defined(MS_WINDOWS)
|
|
#define _USE_MATH_DEFINES
|
|
#endif
|
|
#include <math.h>
|
|
#ifdef NAN
|
|
#define __PYX_NAN() ((float) NAN)
|
|
#else
|
|
static CYTHON_INLINE float __PYX_NAN() {
|
|
float value;
|
|
memset(&value, 0xFF, sizeof(value));
|
|
return value;
|
|
}
|
|
#endif
|
|
#if defined(__CYGWIN__) && defined(_LDBL_EQ_DBL)
|
|
#define __Pyx_truncl trunc
|
|
#else
|
|
#define __Pyx_truncl truncl
|
|
#endif
|
|
|
|
|
|
#define __PYX_ERR(f_index, lineno, Ln_error) \
|
|
{ \
|
|
__pyx_filename = __pyx_f[f_index]; __pyx_lineno = lineno; __pyx_clineno = __LINE__; goto Ln_error; \
|
|
}
|
|
|
|
#ifndef __PYX_EXTERN_C
|
|
#ifdef __cplusplus
|
|
#define __PYX_EXTERN_C extern "C"
|
|
#else
|
|
#define __PYX_EXTERN_C extern
|
|
#endif
|
|
#endif
|
|
|
|
#define __PYX_HAVE__gensim__models__doc2vec_inner
|
|
#define __PYX_HAVE_API__gensim__models__doc2vec_inner
|
|
/* Early includes */
|
|
#include <string.h>
|
|
#include <stdio.h>
|
|
#include "numpy/arrayobject.h"
|
|
#include "numpy/ufuncobject.h"
|
|
#include "voidptr.h"
|
|
#ifdef _OPENMP
|
|
#include <omp.h>
|
|
#endif /* _OPENMP */
|
|
|
|
#if defined(PYREX_WITHOUT_ASSERTIONS) && !defined(CYTHON_WITHOUT_ASSERTIONS)
|
|
#define CYTHON_WITHOUT_ASSERTIONS
|
|
#endif
|
|
|
|
typedef struct {PyObject **p; const char *s; const Py_ssize_t n; const char* encoding;
|
|
const char is_unicode; const char is_str; const char intern; } __Pyx_StringTabEntry;
|
|
|
|
#define __PYX_DEFAULT_STRING_ENCODING_IS_ASCII 0
|
|
#define __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT 0
|
|
#define __PYX_DEFAULT_STRING_ENCODING ""
|
|
#define __Pyx_PyObject_FromString __Pyx_PyBytes_FromString
|
|
#define __Pyx_PyObject_FromStringAndSize __Pyx_PyBytes_FromStringAndSize
|
|
#define __Pyx_uchar_cast(c) ((unsigned char)c)
|
|
#define __Pyx_long_cast(x) ((long)x)
|
|
#define __Pyx_fits_Py_ssize_t(v, type, is_signed) (\
|
|
(sizeof(type) < sizeof(Py_ssize_t)) ||\
|
|
(sizeof(type) > sizeof(Py_ssize_t) &&\
|
|
likely(v < (type)PY_SSIZE_T_MAX ||\
|
|
v == (type)PY_SSIZE_T_MAX) &&\
|
|
(!is_signed || likely(v > (type)PY_SSIZE_T_MIN ||\
|
|
v == (type)PY_SSIZE_T_MIN))) ||\
|
|
(sizeof(type) == sizeof(Py_ssize_t) &&\
|
|
(is_signed || likely(v < (type)PY_SSIZE_T_MAX ||\
|
|
v == (type)PY_SSIZE_T_MAX))) )
|
|
#if defined (__cplusplus) && __cplusplus >= 201103L
|
|
#include <cstdlib>
|
|
#define __Pyx_sst_abs(value) std::abs(value)
|
|
#elif SIZEOF_INT >= SIZEOF_SIZE_T
|
|
#define __Pyx_sst_abs(value) abs(value)
|
|
#elif SIZEOF_LONG >= SIZEOF_SIZE_T
|
|
#define __Pyx_sst_abs(value) labs(value)
|
|
#elif defined (_MSC_VER)
|
|
#define __Pyx_sst_abs(value) ((Py_ssize_t)_abs64(value))
|
|
#elif defined (__STDC_VERSION__) && __STDC_VERSION__ >= 199901L
|
|
#define __Pyx_sst_abs(value) llabs(value)
|
|
#elif defined (__GNUC__)
|
|
#define __Pyx_sst_abs(value) __builtin_llabs(value)
|
|
#else
|
|
#define __Pyx_sst_abs(value) ((value<0) ? -value : value)
|
|
#endif
|
|
static CYTHON_INLINE const char* __Pyx_PyObject_AsString(PyObject*);
|
|
static CYTHON_INLINE const char* __Pyx_PyObject_AsStringAndSize(PyObject*, Py_ssize_t* length);
|
|
#define __Pyx_PyByteArray_FromString(s) PyByteArray_FromStringAndSize((const char*)s, strlen((const char*)s))
|
|
#define __Pyx_PyByteArray_FromStringAndSize(s, l) PyByteArray_FromStringAndSize((const char*)s, l)
|
|
#define __Pyx_PyBytes_FromString PyBytes_FromString
|
|
#define __Pyx_PyBytes_FromStringAndSize PyBytes_FromStringAndSize
|
|
static CYTHON_INLINE PyObject* __Pyx_PyUnicode_FromString(const char*);
|
|
#if PY_MAJOR_VERSION < 3
|
|
#define __Pyx_PyStr_FromString __Pyx_PyBytes_FromString
|
|
#define __Pyx_PyStr_FromStringAndSize __Pyx_PyBytes_FromStringAndSize
|
|
#else
|
|
#define __Pyx_PyStr_FromString __Pyx_PyUnicode_FromString
|
|
#define __Pyx_PyStr_FromStringAndSize __Pyx_PyUnicode_FromStringAndSize
|
|
#endif
|
|
#define __Pyx_PyBytes_AsWritableString(s) ((char*) PyBytes_AS_STRING(s))
|
|
#define __Pyx_PyBytes_AsWritableSString(s) ((signed char*) PyBytes_AS_STRING(s))
|
|
#define __Pyx_PyBytes_AsWritableUString(s) ((unsigned char*) PyBytes_AS_STRING(s))
|
|
#define __Pyx_PyBytes_AsString(s) ((const char*) PyBytes_AS_STRING(s))
|
|
#define __Pyx_PyBytes_AsSString(s) ((const signed char*) PyBytes_AS_STRING(s))
|
|
#define __Pyx_PyBytes_AsUString(s) ((const unsigned char*) PyBytes_AS_STRING(s))
|
|
#define __Pyx_PyObject_AsWritableString(s) ((char*) __Pyx_PyObject_AsString(s))
|
|
#define __Pyx_PyObject_AsWritableSString(s) ((signed char*) __Pyx_PyObject_AsString(s))
|
|
#define __Pyx_PyObject_AsWritableUString(s) ((unsigned char*) __Pyx_PyObject_AsString(s))
|
|
#define __Pyx_PyObject_AsSString(s) ((const signed char*) __Pyx_PyObject_AsString(s))
|
|
#define __Pyx_PyObject_AsUString(s) ((const unsigned char*) __Pyx_PyObject_AsString(s))
|
|
#define __Pyx_PyObject_FromCString(s) __Pyx_PyObject_FromString((const char*)s)
|
|
#define __Pyx_PyBytes_FromCString(s) __Pyx_PyBytes_FromString((const char*)s)
|
|
#define __Pyx_PyByteArray_FromCString(s) __Pyx_PyByteArray_FromString((const char*)s)
|
|
#define __Pyx_PyStr_FromCString(s) __Pyx_PyStr_FromString((const char*)s)
|
|
#define __Pyx_PyUnicode_FromCString(s) __Pyx_PyUnicode_FromString((const char*)s)
|
|
static CYTHON_INLINE size_t __Pyx_Py_UNICODE_strlen(const Py_UNICODE *u) {
|
|
const Py_UNICODE *u_end = u;
|
|
while (*u_end++) ;
|
|
return (size_t)(u_end - u - 1);
|
|
}
|
|
#define __Pyx_PyUnicode_FromUnicode(u) PyUnicode_FromUnicode(u, __Pyx_Py_UNICODE_strlen(u))
|
|
#define __Pyx_PyUnicode_FromUnicodeAndLength PyUnicode_FromUnicode
|
|
#define __Pyx_PyUnicode_AsUnicode PyUnicode_AsUnicode
|
|
#define __Pyx_NewRef(obj) (Py_INCREF(obj), obj)
|
|
#define __Pyx_Owned_Py_None(b) __Pyx_NewRef(Py_None)
|
|
static CYTHON_INLINE PyObject * __Pyx_PyBool_FromLong(long b);
|
|
static CYTHON_INLINE int __Pyx_PyObject_IsTrue(PyObject*);
|
|
static CYTHON_INLINE PyObject* __Pyx_PyNumber_IntOrLong(PyObject* x);
|
|
#define __Pyx_PySequence_Tuple(obj)\
|
|
(likely(PyTuple_CheckExact(obj)) ? __Pyx_NewRef(obj) : PySequence_Tuple(obj))
|
|
static CYTHON_INLINE Py_ssize_t __Pyx_PyIndex_AsSsize_t(PyObject*);
|
|
static CYTHON_INLINE PyObject * __Pyx_PyInt_FromSize_t(size_t);
|
|
#if CYTHON_ASSUME_SAFE_MACROS
|
|
#define __pyx_PyFloat_AsDouble(x) (PyFloat_CheckExact(x) ? PyFloat_AS_DOUBLE(x) : PyFloat_AsDouble(x))
|
|
#else
|
|
#define __pyx_PyFloat_AsDouble(x) PyFloat_AsDouble(x)
|
|
#endif
|
|
#define __pyx_PyFloat_AsFloat(x) ((float) __pyx_PyFloat_AsDouble(x))
|
|
#if PY_MAJOR_VERSION >= 3
|
|
#define __Pyx_PyNumber_Int(x) (PyLong_CheckExact(x) ? __Pyx_NewRef(x) : PyNumber_Long(x))
|
|
#else
|
|
#define __Pyx_PyNumber_Int(x) (PyInt_CheckExact(x) ? __Pyx_NewRef(x) : PyNumber_Int(x))
|
|
#endif
|
|
#define __Pyx_PyNumber_Float(x) (PyFloat_CheckExact(x) ? __Pyx_NewRef(x) : PyNumber_Float(x))
|
|
#if PY_MAJOR_VERSION < 3 && __PYX_DEFAULT_STRING_ENCODING_IS_ASCII
|
|
static int __Pyx_sys_getdefaultencoding_not_ascii;
|
|
static int __Pyx_init_sys_getdefaultencoding_params(void) {
|
|
PyObject* sys;
|
|
PyObject* default_encoding = NULL;
|
|
PyObject* ascii_chars_u = NULL;
|
|
PyObject* ascii_chars_b = NULL;
|
|
const char* default_encoding_c;
|
|
sys = PyImport_ImportModule("sys");
|
|
if (!sys) goto bad;
|
|
default_encoding = PyObject_CallMethod(sys, (char*) "getdefaultencoding", NULL);
|
|
Py_DECREF(sys);
|
|
if (!default_encoding) goto bad;
|
|
default_encoding_c = PyBytes_AsString(default_encoding);
|
|
if (!default_encoding_c) goto bad;
|
|
if (strcmp(default_encoding_c, "ascii") == 0) {
|
|
__Pyx_sys_getdefaultencoding_not_ascii = 0;
|
|
} else {
|
|
char ascii_chars[128];
|
|
int c;
|
|
for (c = 0; c < 128; c++) {
|
|
ascii_chars[c] = c;
|
|
}
|
|
__Pyx_sys_getdefaultencoding_not_ascii = 1;
|
|
ascii_chars_u = PyUnicode_DecodeASCII(ascii_chars, 128, NULL);
|
|
if (!ascii_chars_u) goto bad;
|
|
ascii_chars_b = PyUnicode_AsEncodedString(ascii_chars_u, default_encoding_c, NULL);
|
|
if (!ascii_chars_b || !PyBytes_Check(ascii_chars_b) || memcmp(ascii_chars, PyBytes_AS_STRING(ascii_chars_b), 128) != 0) {
|
|
PyErr_Format(
|
|
PyExc_ValueError,
|
|
"This module compiled with c_string_encoding=ascii, but default encoding '%.200s' is not a superset of ascii.",
|
|
default_encoding_c);
|
|
goto bad;
|
|
}
|
|
Py_DECREF(ascii_chars_u);
|
|
Py_DECREF(ascii_chars_b);
|
|
}
|
|
Py_DECREF(default_encoding);
|
|
return 0;
|
|
bad:
|
|
Py_XDECREF(default_encoding);
|
|
Py_XDECREF(ascii_chars_u);
|
|
Py_XDECREF(ascii_chars_b);
|
|
return -1;
|
|
}
|
|
#endif
|
|
#if __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT && PY_MAJOR_VERSION >= 3
|
|
#define __Pyx_PyUnicode_FromStringAndSize(c_str, size) PyUnicode_DecodeUTF8(c_str, size, NULL)
|
|
#else
|
|
#define __Pyx_PyUnicode_FromStringAndSize(c_str, size) PyUnicode_Decode(c_str, size, __PYX_DEFAULT_STRING_ENCODING, NULL)
|
|
#if __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT
|
|
static char* __PYX_DEFAULT_STRING_ENCODING;
|
|
static int __Pyx_init_sys_getdefaultencoding_params(void) {
|
|
PyObject* sys;
|
|
PyObject* default_encoding = NULL;
|
|
char* default_encoding_c;
|
|
sys = PyImport_ImportModule("sys");
|
|
if (!sys) goto bad;
|
|
default_encoding = PyObject_CallMethod(sys, (char*) (const char*) "getdefaultencoding", NULL);
|
|
Py_DECREF(sys);
|
|
if (!default_encoding) goto bad;
|
|
default_encoding_c = PyBytes_AsString(default_encoding);
|
|
if (!default_encoding_c) goto bad;
|
|
__PYX_DEFAULT_STRING_ENCODING = (char*) malloc(strlen(default_encoding_c));
|
|
if (!__PYX_DEFAULT_STRING_ENCODING) goto bad;
|
|
strcpy(__PYX_DEFAULT_STRING_ENCODING, default_encoding_c);
|
|
Py_DECREF(default_encoding);
|
|
return 0;
|
|
bad:
|
|
Py_XDECREF(default_encoding);
|
|
return -1;
|
|
}
|
|
#endif
|
|
#endif
|
|
|
|
|
|
/* Test for GCC > 2.95 */
|
|
#if defined(__GNUC__) && (__GNUC__ > 2 || (__GNUC__ == 2 && (__GNUC_MINOR__ > 95)))
|
|
#define likely(x) __builtin_expect(!!(x), 1)
|
|
#define unlikely(x) __builtin_expect(!!(x), 0)
|
|
#else /* !__GNUC__ or GCC < 2.95 */
|
|
#define likely(x) (x)
|
|
#define unlikely(x) (x)
|
|
#endif /* __GNUC__ */
|
|
static CYTHON_INLINE void __Pyx_pretend_to_initialize(void* ptr) { (void)ptr; }
|
|
|
|
static PyObject *__pyx_m = NULL;
|
|
static PyObject *__pyx_d;
|
|
static PyObject *__pyx_b;
|
|
static PyObject *__pyx_cython_runtime = NULL;
|
|
static PyObject *__pyx_empty_tuple;
|
|
static PyObject *__pyx_empty_bytes;
|
|
static PyObject *__pyx_empty_unicode;
|
|
static int __pyx_lineno;
|
|
static int __pyx_clineno = 0;
|
|
static const char * __pyx_cfilenm= __FILE__;
|
|
static const char *__pyx_filename;
|
|
|
|
/* Header.proto */
|
|
#if !defined(CYTHON_CCOMPLEX)
|
|
#if defined(__cplusplus)
|
|
#define CYTHON_CCOMPLEX 1
|
|
#elif defined(_Complex_I)
|
|
#define CYTHON_CCOMPLEX 1
|
|
#else
|
|
#define CYTHON_CCOMPLEX 0
|
|
#endif
|
|
#endif
|
|
#if CYTHON_CCOMPLEX
|
|
#ifdef __cplusplus
|
|
#include <complex>
|
|
#else
|
|
#include <complex.h>
|
|
#endif
|
|
#endif
|
|
#if CYTHON_CCOMPLEX && !defined(__cplusplus) && defined(__sun__) && defined(__GNUC__)
|
|
#undef _Complex_I
|
|
#define _Complex_I 1.0fj
|
|
#endif
|
|
|
|
|
|
static const char *__pyx_f[] = {
|
|
"gensim/models/doc2vec_inner.pyx",
|
|
"__init__.pxd",
|
|
"type.pxd",
|
|
};
|
|
/* NoFastGil.proto */
|
|
#define __Pyx_PyGILState_Ensure PyGILState_Ensure
|
|
#define __Pyx_PyGILState_Release PyGILState_Release
|
|
#define __Pyx_FastGIL_Remember()
|
|
#define __Pyx_FastGIL_Forget()
|
|
#define __Pyx_FastGilFuncInit()
|
|
|
|
/* ForceInitThreads.proto */
|
|
#ifndef __PYX_FORCE_INIT_THREADS
|
|
#define __PYX_FORCE_INIT_THREADS 0
|
|
#endif
|
|
|
|
|
|
/* "../../.virtualenvs/math/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":730
|
|
* # in Cython to enable them only on the right systems.
|
|
*
|
|
* ctypedef npy_int8 int8_t # <<<<<<<<<<<<<<
|
|
* ctypedef npy_int16 int16_t
|
|
* ctypedef npy_int32 int32_t
|
|
*/
|
|
typedef npy_int8 __pyx_t_5numpy_int8_t;
|
|
|
|
/* "../../.virtualenvs/math/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":731
|
|
*
|
|
* ctypedef npy_int8 int8_t
|
|
* ctypedef npy_int16 int16_t # <<<<<<<<<<<<<<
|
|
* ctypedef npy_int32 int32_t
|
|
* ctypedef npy_int64 int64_t
|
|
*/
|
|
typedef npy_int16 __pyx_t_5numpy_int16_t;
|
|
|
|
/* "../../.virtualenvs/math/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":732
|
|
* ctypedef npy_int8 int8_t
|
|
* ctypedef npy_int16 int16_t
|
|
* ctypedef npy_int32 int32_t # <<<<<<<<<<<<<<
|
|
* ctypedef npy_int64 int64_t
|
|
* #ctypedef npy_int96 int96_t
|
|
*/
|
|
typedef npy_int32 __pyx_t_5numpy_int32_t;
|
|
|
|
/* "../../.virtualenvs/math/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":733
|
|
* ctypedef npy_int16 int16_t
|
|
* ctypedef npy_int32 int32_t
|
|
* ctypedef npy_int64 int64_t # <<<<<<<<<<<<<<
|
|
* #ctypedef npy_int96 int96_t
|
|
* #ctypedef npy_int128 int128_t
|
|
*/
|
|
typedef npy_int64 __pyx_t_5numpy_int64_t;
|
|
|
|
/* "../../.virtualenvs/math/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":737
|
|
* #ctypedef npy_int128 int128_t
|
|
*
|
|
* ctypedef npy_uint8 uint8_t # <<<<<<<<<<<<<<
|
|
* ctypedef npy_uint16 uint16_t
|
|
* ctypedef npy_uint32 uint32_t
|
|
*/
|
|
typedef npy_uint8 __pyx_t_5numpy_uint8_t;
|
|
|
|
/* "../../.virtualenvs/math/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":738
|
|
*
|
|
* ctypedef npy_uint8 uint8_t
|
|
* ctypedef npy_uint16 uint16_t # <<<<<<<<<<<<<<
|
|
* ctypedef npy_uint32 uint32_t
|
|
* ctypedef npy_uint64 uint64_t
|
|
*/
|
|
typedef npy_uint16 __pyx_t_5numpy_uint16_t;
|
|
|
|
/* "../../.virtualenvs/math/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":739
|
|
* ctypedef npy_uint8 uint8_t
|
|
* ctypedef npy_uint16 uint16_t
|
|
* ctypedef npy_uint32 uint32_t # <<<<<<<<<<<<<<
|
|
* ctypedef npy_uint64 uint64_t
|
|
* #ctypedef npy_uint96 uint96_t
|
|
*/
|
|
typedef npy_uint32 __pyx_t_5numpy_uint32_t;
|
|
|
|
/* "../../.virtualenvs/math/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":740
|
|
* ctypedef npy_uint16 uint16_t
|
|
* ctypedef npy_uint32 uint32_t
|
|
* ctypedef npy_uint64 uint64_t # <<<<<<<<<<<<<<
|
|
* #ctypedef npy_uint96 uint96_t
|
|
* #ctypedef npy_uint128 uint128_t
|
|
*/
|
|
typedef npy_uint64 __pyx_t_5numpy_uint64_t;
|
|
|
|
/* "../../.virtualenvs/math/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":744
|
|
* #ctypedef npy_uint128 uint128_t
|
|
*
|
|
* ctypedef npy_float32 float32_t # <<<<<<<<<<<<<<
|
|
* ctypedef npy_float64 float64_t
|
|
* #ctypedef npy_float80 float80_t
|
|
*/
|
|
typedef npy_float32 __pyx_t_5numpy_float32_t;
|
|
|
|
/* "../../.virtualenvs/math/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":745
|
|
*
|
|
* ctypedef npy_float32 float32_t
|
|
* ctypedef npy_float64 float64_t # <<<<<<<<<<<<<<
|
|
* #ctypedef npy_float80 float80_t
|
|
* #ctypedef npy_float128 float128_t
|
|
*/
|
|
typedef npy_float64 __pyx_t_5numpy_float64_t;
|
|
|
|
/* "../../.virtualenvs/math/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":754
|
|
* # The int types are mapped a bit surprising --
|
|
* # numpy.int corresponds to 'l' and numpy.long to 'q'
|
|
* ctypedef npy_long int_t # <<<<<<<<<<<<<<
|
|
* ctypedef npy_longlong long_t
|
|
* ctypedef npy_longlong longlong_t
|
|
*/
|
|
typedef npy_long __pyx_t_5numpy_int_t;
|
|
|
|
/* "../../.virtualenvs/math/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":755
|
|
* # numpy.int corresponds to 'l' and numpy.long to 'q'
|
|
* ctypedef npy_long int_t
|
|
* ctypedef npy_longlong long_t # <<<<<<<<<<<<<<
|
|
* ctypedef npy_longlong longlong_t
|
|
*
|
|
*/
|
|
typedef npy_longlong __pyx_t_5numpy_long_t;
|
|
|
|
/* "../../.virtualenvs/math/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":756
|
|
* ctypedef npy_long int_t
|
|
* ctypedef npy_longlong long_t
|
|
* ctypedef npy_longlong longlong_t # <<<<<<<<<<<<<<
|
|
*
|
|
* ctypedef npy_ulong uint_t
|
|
*/
|
|
typedef npy_longlong __pyx_t_5numpy_longlong_t;
|
|
|
|
/* "../../.virtualenvs/math/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":758
|
|
* ctypedef npy_longlong longlong_t
|
|
*
|
|
* ctypedef npy_ulong uint_t # <<<<<<<<<<<<<<
|
|
* ctypedef npy_ulonglong ulong_t
|
|
* ctypedef npy_ulonglong ulonglong_t
|
|
*/
|
|
typedef npy_ulong __pyx_t_5numpy_uint_t;
|
|
|
|
/* "../../.virtualenvs/math/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":759
|
|
*
|
|
* ctypedef npy_ulong uint_t
|
|
* ctypedef npy_ulonglong ulong_t # <<<<<<<<<<<<<<
|
|
* ctypedef npy_ulonglong ulonglong_t
|
|
*
|
|
*/
|
|
typedef npy_ulonglong __pyx_t_5numpy_ulong_t;
|
|
|
|
/* "../../.virtualenvs/math/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":760
|
|
* ctypedef npy_ulong uint_t
|
|
* ctypedef npy_ulonglong ulong_t
|
|
* ctypedef npy_ulonglong ulonglong_t # <<<<<<<<<<<<<<
|
|
*
|
|
* ctypedef npy_intp intp_t
|
|
*/
|
|
typedef npy_ulonglong __pyx_t_5numpy_ulonglong_t;
|
|
|
|
/* "../../.virtualenvs/math/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":762
|
|
* ctypedef npy_ulonglong ulonglong_t
|
|
*
|
|
* ctypedef npy_intp intp_t # <<<<<<<<<<<<<<
|
|
* ctypedef npy_uintp uintp_t
|
|
*
|
|
*/
|
|
typedef npy_intp __pyx_t_5numpy_intp_t;
|
|
|
|
/* "../../.virtualenvs/math/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":763
|
|
*
|
|
* ctypedef npy_intp intp_t
|
|
* ctypedef npy_uintp uintp_t # <<<<<<<<<<<<<<
|
|
*
|
|
* ctypedef npy_double float_t
|
|
*/
|
|
typedef npy_uintp __pyx_t_5numpy_uintp_t;
|
|
|
|
/* "../../.virtualenvs/math/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":765
|
|
* ctypedef npy_uintp uintp_t
|
|
*
|
|
* ctypedef npy_double float_t # <<<<<<<<<<<<<<
|
|
* ctypedef npy_double double_t
|
|
* ctypedef npy_longdouble longdouble_t
|
|
*/
|
|
typedef npy_double __pyx_t_5numpy_float_t;
|
|
|
|
/* "../../.virtualenvs/math/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":766
|
|
*
|
|
* ctypedef npy_double float_t
|
|
* ctypedef npy_double double_t # <<<<<<<<<<<<<<
|
|
* ctypedef npy_longdouble longdouble_t
|
|
*
|
|
*/
|
|
typedef npy_double __pyx_t_5numpy_double_t;
|
|
|
|
/* "../../.virtualenvs/math/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":767
|
|
* ctypedef npy_double float_t
|
|
* ctypedef npy_double double_t
|
|
* ctypedef npy_longdouble longdouble_t # <<<<<<<<<<<<<<
|
|
*
|
|
* ctypedef npy_cfloat cfloat_t
|
|
*/
|
|
typedef npy_longdouble __pyx_t_5numpy_longdouble_t;
|
|
|
|
/* "word2vec_inner.pxd":12
|
|
*
|
|
* cimport numpy as np
|
|
* ctypedef np.float32_t REAL_t # <<<<<<<<<<<<<<
|
|
*
|
|
* # BLAS routine signatures
|
|
*/
|
|
typedef __pyx_t_5numpy_float32_t __pyx_t_6gensim_6models_14word2vec_inner_REAL_t;
|
|
/* Declarations.proto */
|
|
#if CYTHON_CCOMPLEX
|
|
#ifdef __cplusplus
|
|
typedef ::std::complex< float > __pyx_t_float_complex;
|
|
#else
|
|
typedef float _Complex __pyx_t_float_complex;
|
|
#endif
|
|
#else
|
|
typedef struct { float real, imag; } __pyx_t_float_complex;
|
|
#endif
|
|
static CYTHON_INLINE __pyx_t_float_complex __pyx_t_float_complex_from_parts(float, float);
|
|
|
|
/* Declarations.proto */
|
|
#if CYTHON_CCOMPLEX
|
|
#ifdef __cplusplus
|
|
typedef ::std::complex< double > __pyx_t_double_complex;
|
|
#else
|
|
typedef double _Complex __pyx_t_double_complex;
|
|
#endif
|
|
#else
|
|
typedef struct { double real, imag; } __pyx_t_double_complex;
|
|
#endif
|
|
static CYTHON_INLINE __pyx_t_double_complex __pyx_t_double_complex_from_parts(double, double);
|
|
|
|
|
|
/*--- Type declarations ---*/
|
|
|
|
/* "../../.virtualenvs/math/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":769
|
|
* ctypedef npy_longdouble longdouble_t
|
|
*
|
|
* ctypedef npy_cfloat cfloat_t # <<<<<<<<<<<<<<
|
|
* ctypedef npy_cdouble cdouble_t
|
|
* ctypedef npy_clongdouble clongdouble_t
|
|
*/
|
|
typedef npy_cfloat __pyx_t_5numpy_cfloat_t;
|
|
|
|
/* "../../.virtualenvs/math/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":770
|
|
*
|
|
* ctypedef npy_cfloat cfloat_t
|
|
* ctypedef npy_cdouble cdouble_t # <<<<<<<<<<<<<<
|
|
* ctypedef npy_clongdouble clongdouble_t
|
|
*
|
|
*/
|
|
typedef npy_cdouble __pyx_t_5numpy_cdouble_t;
|
|
|
|
/* "../../.virtualenvs/math/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":771
|
|
* ctypedef npy_cfloat cfloat_t
|
|
* ctypedef npy_cdouble cdouble_t
|
|
* ctypedef npy_clongdouble clongdouble_t # <<<<<<<<<<<<<<
|
|
*
|
|
* ctypedef npy_cdouble complex_t
|
|
*/
|
|
typedef npy_clongdouble __pyx_t_5numpy_clongdouble_t;
|
|
|
|
/* "../../.virtualenvs/math/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":773
|
|
* ctypedef npy_clongdouble clongdouble_t
|
|
*
|
|
* ctypedef npy_cdouble complex_t # <<<<<<<<<<<<<<
|
|
*
|
|
* cdef inline object PyArray_MultiIterNew1(a):
|
|
*/
|
|
typedef npy_cdouble __pyx_t_5numpy_complex_t;
|
|
|
|
/* "word2vec_inner.pxd":15
|
|
*
|
|
* # BLAS routine signatures
|
|
* ctypedef void (*scopy_ptr) (const int *N, const float *X, const int *incX, float *Y, const int *incY) nogil # <<<<<<<<<<<<<<
|
|
* ctypedef void (*saxpy_ptr) (const int *N, const float *alpha, const float *X, const int *incX, float *Y, const int *incY) nogil
|
|
* ctypedef float (*sdot_ptr) (const int *N, const float *X, const int *incX, const float *Y, const int *incY) nogil
|
|
*/
|
|
typedef void (*__pyx_t_6gensim_6models_14word2vec_inner_scopy_ptr)(int const *, float const *, int const *, float *, int const *);
|
|
|
|
/* "word2vec_inner.pxd":16
|
|
* # BLAS routine signatures
|
|
* ctypedef void (*scopy_ptr) (const int *N, const float *X, const int *incX, float *Y, const int *incY) nogil
|
|
* ctypedef void (*saxpy_ptr) (const int *N, const float *alpha, const float *X, const int *incX, float *Y, const int *incY) nogil # <<<<<<<<<<<<<<
|
|
* ctypedef float (*sdot_ptr) (const int *N, const float *X, const int *incX, const float *Y, const int *incY) nogil
|
|
* ctypedef double (*dsdot_ptr) (const int *N, const float *X, const int *incX, const float *Y, const int *incY) nogil
|
|
*/
|
|
typedef void (*__pyx_t_6gensim_6models_14word2vec_inner_saxpy_ptr)(int const *, float const *, float const *, int const *, float *, int const *);
|
|
|
|
/* "word2vec_inner.pxd":17
|
|
* ctypedef void (*scopy_ptr) (const int *N, const float *X, const int *incX, float *Y, const int *incY) nogil
|
|
* ctypedef void (*saxpy_ptr) (const int *N, const float *alpha, const float *X, const int *incX, float *Y, const int *incY) nogil
|
|
* ctypedef float (*sdot_ptr) (const int *N, const float *X, const int *incX, const float *Y, const int *incY) nogil # <<<<<<<<<<<<<<
|
|
* ctypedef double (*dsdot_ptr) (const int *N, const float *X, const int *incX, const float *Y, const int *incY) nogil
|
|
* ctypedef double (*snrm2_ptr) (const int *N, const float *X, const int *incX) nogil
|
|
*/
|
|
typedef float (*__pyx_t_6gensim_6models_14word2vec_inner_sdot_ptr)(int const *, float const *, int const *, float const *, int const *);
|
|
|
|
/* "word2vec_inner.pxd":18
|
|
* ctypedef void (*saxpy_ptr) (const int *N, const float *alpha, const float *X, const int *incX, float *Y, const int *incY) nogil
|
|
* ctypedef float (*sdot_ptr) (const int *N, const float *X, const int *incX, const float *Y, const int *incY) nogil
|
|
* ctypedef double (*dsdot_ptr) (const int *N, const float *X, const int *incX, const float *Y, const int *incY) nogil # <<<<<<<<<<<<<<
|
|
* ctypedef double (*snrm2_ptr) (const int *N, const float *X, const int *incX) nogil
|
|
* ctypedef void (*sscal_ptr) (const int *N, const float *alpha, const float *X, const int *incX) nogil
|
|
*/
|
|
typedef double (*__pyx_t_6gensim_6models_14word2vec_inner_dsdot_ptr)(int const *, float const *, int const *, float const *, int const *);
|
|
|
|
/* "word2vec_inner.pxd":19
|
|
* ctypedef float (*sdot_ptr) (const int *N, const float *X, const int *incX, const float *Y, const int *incY) nogil
|
|
* ctypedef double (*dsdot_ptr) (const int *N, const float *X, const int *incX, const float *Y, const int *incY) nogil
|
|
* ctypedef double (*snrm2_ptr) (const int *N, const float *X, const int *incX) nogil # <<<<<<<<<<<<<<
|
|
* ctypedef void (*sscal_ptr) (const int *N, const float *alpha, const float *X, const int *incX) nogil
|
|
*
|
|
*/
|
|
typedef double (*__pyx_t_6gensim_6models_14word2vec_inner_snrm2_ptr)(int const *, float const *, int const *);
|
|
|
|
/* "word2vec_inner.pxd":20
|
|
* ctypedef double (*dsdot_ptr) (const int *N, const float *X, const int *incX, const float *Y, const int *incY) nogil
|
|
* ctypedef double (*snrm2_ptr) (const int *N, const float *X, const int *incX) nogil
|
|
* ctypedef void (*sscal_ptr) (const int *N, const float *alpha, const float *X, const int *incX) nogil # <<<<<<<<<<<<<<
|
|
*
|
|
* cdef scopy_ptr scopy
|
|
*/
|
|
typedef void (*__pyx_t_6gensim_6models_14word2vec_inner_sscal_ptr)(int const *, float const *, float const *, int const *);
|
|
|
|
/* "word2vec_inner.pxd":35
|
|
*
|
|
* # function implementations swapped based on BLAS detected in word2vec_inner.pyx init()
|
|
* ctypedef REAL_t (*our_dot_ptr) (const int *N, const float *X, const int *incX, const float *Y, const int *incY) nogil # <<<<<<<<<<<<<<
|
|
* ctypedef void (*our_saxpy_ptr) (const int *N, const float *alpha, const float *X, const int *incX, float *Y, const int *incY) nogil
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*
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*/
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typedef __pyx_t_6gensim_6models_14word2vec_inner_REAL_t (*__pyx_t_6gensim_6models_14word2vec_inner_our_dot_ptr)(int const *, float const *, int const *, float const *, int const *);
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*
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static CYTHON_INLINE PyObject* __Pyx_PyObject_GetAttrStr(PyObject* obj, PyObject* attr_name);
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int wraparound, int boundscheck);
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static int __Pyx__GetException(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb);
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static int __Pyx_GetException(PyObject **type, PyObject **value, PyObject **tb);
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/* Import.proto */
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static PyObject *__Pyx_Import(PyObject *name, PyObject *from_list, int level);
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/* ImportFrom.proto */
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static PyObject* __Pyx_ImportFrom(PyObject* module, PyObject* name);
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|
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static int __Pyx_CLineForTraceback(PyThreadState *tstate, int c_line);
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/* CodeObjectCache.proto */
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|
typedef struct {
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int code_line;
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static PyCodeObject *__pyx_find_code_object(int code_line);
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|
static void __pyx_insert_code_object(int code_line, PyCodeObject* code_object);
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|
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|
/* AddTraceback.proto */
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|
static void __Pyx_AddTraceback(const char *funcname, int c_line,
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|
static CYTHON_INLINE PyObject* __Pyx_PyInt_From_int(int value);
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|
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|
static CYTHON_INLINE PyObject* __Pyx_PyInt_From_long(long value);
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|
/* CIntToPy.proto */
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|
static CYTHON_INLINE PyObject* __Pyx_PyInt_From_unsigned_PY_LONG_LONG(unsigned PY_LONG_LONG value);
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|
#if CYTHON_CCOMPLEX
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|
#ifdef __cplusplus
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|
#define __Pyx_CREAL(z) ((z).real())
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|
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|
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#define __Pyx_SET_CREAL(z,x) ((z).real(x))
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#define __Pyx_SET_CIMAG(z,y) ((z).imag(y))
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#define __Pyx_SET_CREAL(z,x) __Pyx_CREAL(z) = (x)
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#define __Pyx_SET_CIMAG(z,y) __Pyx_CIMAG(z) = (y)
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|
/* Arithmetic.proto */
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|
#if CYTHON_CCOMPLEX
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|
#define __Pyx_c_eq_float(a, b) ((a)==(b))
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#define __Pyx_c_sum_float(a, b) ((a)+(b))
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|
#define __Pyx_c_diff_float(a, b) ((a)-(b))
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|
#define __Pyx_c_prod_float(a, b) ((a)*(b))
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|
#define __Pyx_c_quot_float(a, b) ((a)/(b))
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|
#define __Pyx_c_neg_float(a) (-(a))
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#ifdef __cplusplus
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|
#define __Pyx_c_is_zero_float(z) ((z)==(float)0)
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|
#define __Pyx_c_conj_float(z) (::std::conj(z))
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#if 1
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|
#define __Pyx_c_abs_float(z) (::std::abs(z))
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|
#define __Pyx_c_pow_float(a, b) (::std::pow(a, b))
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|
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|
#define __Pyx_c_is_zero_float(z) ((z)==0)
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#define __Pyx_c_conj_float(z) (conjf(z))
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#if 1
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#define __Pyx_c_abs_float(z) (cabsf(z))
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#define __Pyx_c_pow_float(a, b) (cpowf(a, b))
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|
|
#endif
|
|
#else
|
|
static CYTHON_INLINE int __Pyx_c_eq_float(__pyx_t_float_complex, __pyx_t_float_complex);
|
|
static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_sum_float(__pyx_t_float_complex, __pyx_t_float_complex);
|
|
static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_diff_float(__pyx_t_float_complex, __pyx_t_float_complex);
|
|
static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_prod_float(__pyx_t_float_complex, __pyx_t_float_complex);
|
|
static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_quot_float(__pyx_t_float_complex, __pyx_t_float_complex);
|
|
static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_neg_float(__pyx_t_float_complex);
|
|
static CYTHON_INLINE int __Pyx_c_is_zero_float(__pyx_t_float_complex);
|
|
static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_conj_float(__pyx_t_float_complex);
|
|
#if 1
|
|
static CYTHON_INLINE float __Pyx_c_abs_float(__pyx_t_float_complex);
|
|
static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_pow_float(__pyx_t_float_complex, __pyx_t_float_complex);
|
|
#endif
|
|
#endif
|
|
|
|
/* Arithmetic.proto */
|
|
#if CYTHON_CCOMPLEX
|
|
#define __Pyx_c_eq_double(a, b) ((a)==(b))
|
|
#define __Pyx_c_sum_double(a, b) ((a)+(b))
|
|
#define __Pyx_c_diff_double(a, b) ((a)-(b))
|
|
#define __Pyx_c_prod_double(a, b) ((a)*(b))
|
|
#define __Pyx_c_quot_double(a, b) ((a)/(b))
|
|
#define __Pyx_c_neg_double(a) (-(a))
|
|
#ifdef __cplusplus
|
|
#define __Pyx_c_is_zero_double(z) ((z)==(double)0)
|
|
#define __Pyx_c_conj_double(z) (::std::conj(z))
|
|
#if 1
|
|
#define __Pyx_c_abs_double(z) (::std::abs(z))
|
|
#define __Pyx_c_pow_double(a, b) (::std::pow(a, b))
|
|
#endif
|
|
#else
|
|
#define __Pyx_c_is_zero_double(z) ((z)==0)
|
|
#define __Pyx_c_conj_double(z) (conj(z))
|
|
#if 1
|
|
#define __Pyx_c_abs_double(z) (cabs(z))
|
|
#define __Pyx_c_pow_double(a, b) (cpow(a, b))
|
|
#endif
|
|
#endif
|
|
#else
|
|
static CYTHON_INLINE int __Pyx_c_eq_double(__pyx_t_double_complex, __pyx_t_double_complex);
|
|
static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_sum_double(__pyx_t_double_complex, __pyx_t_double_complex);
|
|
static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_diff_double(__pyx_t_double_complex, __pyx_t_double_complex);
|
|
static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_prod_double(__pyx_t_double_complex, __pyx_t_double_complex);
|
|
static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_quot_double(__pyx_t_double_complex, __pyx_t_double_complex);
|
|
static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_neg_double(__pyx_t_double_complex);
|
|
static CYTHON_INLINE int __Pyx_c_is_zero_double(__pyx_t_double_complex);
|
|
static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_conj_double(__pyx_t_double_complex);
|
|
#if 1
|
|
static CYTHON_INLINE double __Pyx_c_abs_double(__pyx_t_double_complex);
|
|
static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_pow_double(__pyx_t_double_complex, __pyx_t_double_complex);
|
|
#endif
|
|
#endif
|
|
|
|
/* CIntToPy.proto */
|
|
static CYTHON_INLINE PyObject* __Pyx_PyInt_From_enum__NPY_TYPES(enum NPY_TYPES value);
|
|
|
|
/* CIntFromPy.proto */
|
|
static CYTHON_INLINE PY_LONG_LONG __Pyx_PyInt_As_PY_LONG_LONG(PyObject *);
|
|
|
|
/* CIntFromPy.proto */
|
|
static CYTHON_INLINE int __Pyx_PyInt_As_int(PyObject *);
|
|
|
|
/* CIntFromPy.proto */
|
|
static CYTHON_INLINE unsigned PY_LONG_LONG __Pyx_PyInt_As_unsigned_PY_LONG_LONG(PyObject *);
|
|
|
|
/* CIntFromPy.proto */
|
|
static CYTHON_INLINE npy_uint32 __Pyx_PyInt_As_npy_uint32(PyObject *);
|
|
|
|
/* CIntFromPy.proto */
|
|
static CYTHON_INLINE long __Pyx_PyInt_As_long(PyObject *);
|
|
|
|
/* FastTypeChecks.proto */
|
|
#if CYTHON_COMPILING_IN_CPYTHON
|
|
#define __Pyx_TypeCheck(obj, type) __Pyx_IsSubtype(Py_TYPE(obj), (PyTypeObject *)type)
|
|
static CYTHON_INLINE int __Pyx_IsSubtype(PyTypeObject *a, PyTypeObject *b);
|
|
static CYTHON_INLINE int __Pyx_PyErr_GivenExceptionMatches(PyObject *err, PyObject *type);
|
|
static CYTHON_INLINE int __Pyx_PyErr_GivenExceptionMatches2(PyObject *err, PyObject *type1, PyObject *type2);
|
|
#else
|
|
#define __Pyx_TypeCheck(obj, type) PyObject_TypeCheck(obj, (PyTypeObject *)type)
|
|
#define __Pyx_PyErr_GivenExceptionMatches(err, type) PyErr_GivenExceptionMatches(err, type)
|
|
#define __Pyx_PyErr_GivenExceptionMatches2(err, type1, type2) (PyErr_GivenExceptionMatches(err, type1) || PyErr_GivenExceptionMatches(err, type2))
|
|
#endif
|
|
#define __Pyx_PyException_Check(obj) __Pyx_TypeCheck(obj, PyExc_Exception)
|
|
|
|
/* CheckBinaryVersion.proto */
|
|
static int __Pyx_check_binary_version(void);
|
|
|
|
/* PyIdentifierFromString.proto */
|
|
#if !defined(__Pyx_PyIdentifier_FromString)
|
|
#if PY_MAJOR_VERSION < 3
|
|
#define __Pyx_PyIdentifier_FromString(s) PyString_FromString(s)
|
|
#else
|
|
#define __Pyx_PyIdentifier_FromString(s) PyUnicode_FromString(s)
|
|
#endif
|
|
#endif
|
|
|
|
/* ModuleImport.proto */
|
|
static PyObject *__Pyx_ImportModule(const char *name);
|
|
|
|
/* TypeImport.proto */
|
|
static PyTypeObject *__Pyx_ImportType(const char *module_name, const char *class_name, size_t size, int strict);
|
|
|
|
/* VoidPtrImport.proto */
|
|
static int __Pyx_ImportVoidPtr(PyObject *module, const char *name, void **p, const char *sig);
|
|
|
|
/* FunctionImport.proto */
|
|
static int __Pyx_ImportFunction(PyObject *module, const char *funcname, void (**f)(void), const char *sig);
|
|
|
|
/* InitStrings.proto */
|
|
static int __Pyx_InitStrings(__Pyx_StringTabEntry *t);
|
|
|
|
|
|
/* Module declarations from 'cython' */
|
|
|
|
/* Module declarations from 'cpython.buffer' */
|
|
|
|
/* Module declarations from 'libc.string' */
|
|
|
|
/* Module declarations from 'libc.stdio' */
|
|
|
|
/* Module declarations from '__builtin__' */
|
|
|
|
/* Module declarations from 'cpython.type' */
|
|
static PyTypeObject *__pyx_ptype_7cpython_4type_type = 0;
|
|
|
|
/* Module declarations from 'cpython' */
|
|
|
|
/* Module declarations from 'cpython.object' */
|
|
|
|
/* Module declarations from 'cpython.ref' */
|
|
|
|
/* Module declarations from 'cpython.mem' */
|
|
|
|
/* Module declarations from 'numpy' */
|
|
|
|
/* Module declarations from 'numpy' */
|
|
static PyTypeObject *__pyx_ptype_5numpy_dtype = 0;
|
|
static PyTypeObject *__pyx_ptype_5numpy_flatiter = 0;
|
|
static PyTypeObject *__pyx_ptype_5numpy_broadcast = 0;
|
|
static PyTypeObject *__pyx_ptype_5numpy_ndarray = 0;
|
|
static PyTypeObject *__pyx_ptype_5numpy_ufunc = 0;
|
|
static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *, char *, char *, int *); /*proto*/
|
|
|
|
/* Module declarations from 'gensim.models.word2vec_inner' */
|
|
static __pyx_t_6gensim_6models_14word2vec_inner_scopy_ptr *__pyx_vp_6gensim_6models_14word2vec_inner_scopy = 0;
|
|
#define __pyx_v_6gensim_6models_14word2vec_inner_scopy (*__pyx_vp_6gensim_6models_14word2vec_inner_scopy)
|
|
static __pyx_t_6gensim_6models_14word2vec_inner_saxpy_ptr *__pyx_vp_6gensim_6models_14word2vec_inner_saxpy = 0;
|
|
#define __pyx_v_6gensim_6models_14word2vec_inner_saxpy (*__pyx_vp_6gensim_6models_14word2vec_inner_saxpy)
|
|
static __pyx_t_6gensim_6models_14word2vec_inner_sdot_ptr *__pyx_vp_6gensim_6models_14word2vec_inner_sdot = 0;
|
|
#define __pyx_v_6gensim_6models_14word2vec_inner_sdot (*__pyx_vp_6gensim_6models_14word2vec_inner_sdot)
|
|
static __pyx_t_6gensim_6models_14word2vec_inner_dsdot_ptr *__pyx_vp_6gensim_6models_14word2vec_inner_dsdot = 0;
|
|
#define __pyx_v_6gensim_6models_14word2vec_inner_dsdot (*__pyx_vp_6gensim_6models_14word2vec_inner_dsdot)
|
|
static __pyx_t_6gensim_6models_14word2vec_inner_snrm2_ptr *__pyx_vp_6gensim_6models_14word2vec_inner_snrm2 = 0;
|
|
#define __pyx_v_6gensim_6models_14word2vec_inner_snrm2 (*__pyx_vp_6gensim_6models_14word2vec_inner_snrm2)
|
|
static __pyx_t_6gensim_6models_14word2vec_inner_sscal_ptr *__pyx_vp_6gensim_6models_14word2vec_inner_sscal = 0;
|
|
#define __pyx_v_6gensim_6models_14word2vec_inner_sscal (*__pyx_vp_6gensim_6models_14word2vec_inner_sscal)
|
|
static __pyx_t_6gensim_6models_14word2vec_inner_REAL_t (*__pyx_vp_6gensim_6models_14word2vec_inner_EXP_TABLE)[0x3E8] = 0;
|
|
#define __pyx_v_6gensim_6models_14word2vec_inner_EXP_TABLE (*__pyx_vp_6gensim_6models_14word2vec_inner_EXP_TABLE)
|
|
static __pyx_t_6gensim_6models_14word2vec_inner_our_dot_ptr *__pyx_vp_6gensim_6models_14word2vec_inner_our_dot = 0;
|
|
#define __pyx_v_6gensim_6models_14word2vec_inner_our_dot (*__pyx_vp_6gensim_6models_14word2vec_inner_our_dot)
|
|
static __pyx_t_6gensim_6models_14word2vec_inner_our_saxpy_ptr *__pyx_vp_6gensim_6models_14word2vec_inner_our_saxpy = 0;
|
|
#define __pyx_v_6gensim_6models_14word2vec_inner_our_saxpy (*__pyx_vp_6gensim_6models_14word2vec_inner_our_saxpy)
|
|
static unsigned PY_LONG_LONG (*__pyx_f_6gensim_6models_14word2vec_inner_bisect_left)(__pyx_t_5numpy_uint32_t *, unsigned PY_LONG_LONG, unsigned PY_LONG_LONG, unsigned PY_LONG_LONG); /*proto*/
|
|
static unsigned PY_LONG_LONG (*__pyx_f_6gensim_6models_14word2vec_inner_random_int32)(unsigned PY_LONG_LONG *); /*proto*/
|
|
|
|
/* Module declarations from 'gensim.models.doc2vec_inner' */
|
|
static int __pyx_v_6gensim_6models_13doc2vec_inner_ONE;
|
|
static __pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_6gensim_6models_13doc2vec_inner_ONEF;
|
|
static void __pyx_f_6gensim_6models_13doc2vec_inner_fast_document_dbow_hs(__pyx_t_5numpy_uint32_t const *, __pyx_t_5numpy_uint8_t const *, int const , __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, int const , __pyx_t_5numpy_uint32_t const , __pyx_t_6gensim_6models_14word2vec_inner_REAL_t const , __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, int, int, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *); /*proto*/
|
|
static unsigned PY_LONG_LONG __pyx_f_6gensim_6models_13doc2vec_inner_fast_document_dbow_neg(int const , __pyx_t_5numpy_uint32_t *, unsigned PY_LONG_LONG, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, int const , __pyx_t_5numpy_uint32_t const , __pyx_t_5numpy_uint32_t const , __pyx_t_6gensim_6models_14word2vec_inner_REAL_t const , __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, unsigned PY_LONG_LONG, int, int, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *); /*proto*/
|
|
static void __pyx_f_6gensim_6models_13doc2vec_inner_fast_document_dm_hs(__pyx_t_5numpy_uint32_t const *, __pyx_t_5numpy_uint8_t const *, int, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t const , __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, int const , int); /*proto*/
|
|
static unsigned PY_LONG_LONG __pyx_f_6gensim_6models_13doc2vec_inner_fast_document_dm_neg(int const , __pyx_t_5numpy_uint32_t *, unsigned PY_LONG_LONG, unsigned PY_LONG_LONG, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, int const , __pyx_t_6gensim_6models_14word2vec_inner_REAL_t const , __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, int const , int); /*proto*/
|
|
static void __pyx_f_6gensim_6models_13doc2vec_inner_fast_document_dmc_hs(__pyx_t_5numpy_uint32_t const *, __pyx_t_5numpy_uint8_t const *, int, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t const , __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, int const , int const , int); /*proto*/
|
|
static unsigned PY_LONG_LONG __pyx_f_6gensim_6models_13doc2vec_inner_fast_document_dmc_neg(int const , __pyx_t_5numpy_uint32_t *, unsigned PY_LONG_LONG, unsigned PY_LONG_LONG, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, int const , __pyx_t_6gensim_6models_14word2vec_inner_REAL_t const , __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *, int const , int const , int); /*proto*/
|
|
#define __Pyx_MODULE_NAME "gensim.models.doc2vec_inner"
|
|
extern int __pyx_module_is_main_gensim__models__doc2vec_inner;
|
|
int __pyx_module_is_main_gensim__models__doc2vec_inner = 0;
|
|
|
|
/* Implementation of 'gensim.models.doc2vec_inner' */
|
|
static PyObject *__pyx_builtin_ImportError;
|
|
static PyObject *__pyx_builtin_range;
|
|
static PyObject *__pyx_builtin_enumerate;
|
|
static PyObject *__pyx_builtin_ValueError;
|
|
static PyObject *__pyx_builtin_RuntimeError;
|
|
static const char __pyx_k_i[] = "i";
|
|
static const char __pyx_k_j[] = "j";
|
|
static const char __pyx_k_k[] = "k";
|
|
static const char __pyx_k_m[] = "m";
|
|
static const char __pyx_k_n[] = "n";
|
|
static const char __pyx_k_r[] = "r";
|
|
static const char __pyx_k__5[] = "\000";
|
|
static const char __pyx_k_hs[] = "hs";
|
|
static const char __pyx_k_np[] = "np";
|
|
static const char __pyx_k_wv[] = "wv";
|
|
static const char __pyx_k__17[] = "*";
|
|
static const char __pyx_k_REAL[] = "REAL";
|
|
static const char __pyx_k_code[] = "code";
|
|
static const char __pyx_k_item[] = "item";
|
|
static const char __pyx_k_main[] = "__main__";
|
|
static const char __pyx_k_neu1[] = "neu1";
|
|
static const char __pyx_k_size[] = "size";
|
|
static const char __pyx_k_syn1[] = "syn1";
|
|
static const char __pyx_k_test[] = "__test__";
|
|
static const char __pyx_k_work[] = "work";
|
|
static const char __pyx_k_alpha[] = "alpha";
|
|
static const char __pyx_k_codes[] = "codes";
|
|
static const char __pyx_k_count[] = "count";
|
|
static const char __pyx_k_dtype[] = "dtype";
|
|
static const char __pyx_k_fblas[] = "fblas";
|
|
static const char __pyx_k_index[] = "index";
|
|
static const char __pyx_k_model[] = "model";
|
|
static const char __pyx_k_numpy[] = "numpy";
|
|
static const char __pyx_k_point[] = "point";
|
|
static const char __pyx_k_range[] = "range";
|
|
static const char __pyx_k_token[] = "token";
|
|
static const char __pyx_k_vocab[] = "vocab";
|
|
static const char __pyx_k_zeros[] = "zeros";
|
|
static const char __pyx_k_import[] = "__import__";
|
|
static const char __pyx_k_neu1_2[] = "_neu1";
|
|
static const char __pyx_k_points[] = "points";
|
|
static const char __pyx_k_random[] = "random";
|
|
static const char __pyx_k_result[] = "result";
|
|
static const char __pyx_k_sample[] = "sample";
|
|
static const char __pyx_k_window[] = "window";
|
|
static const char __pyx_k_work_2[] = "_work";
|
|
static const char __pyx_k_alpha_2[] = "_alpha";
|
|
static const char __pyx_k_docvecs[] = "docvecs";
|
|
static const char __pyx_k_float32[] = "float32";
|
|
static const char __pyx_k_indexes[] = "indexes";
|
|
static const char __pyx_k_randint[] = "randint";
|
|
static const char __pyx_k_syn1neg[] = "syn1neg";
|
|
static const char __pyx_k_vectors[] = "vectors";
|
|
static const char __pyx_k_vlookup[] = "vlookup";
|
|
static const char __pyx_k_codelens[] = "codelens";
|
|
static const char __pyx_k_negative[] = "negative";
|
|
static const char __pyx_k_cbow_mean[] = "cbow_mean";
|
|
static const char __pyx_k_cum_table[] = "cum_table";
|
|
static const char __pyx_k_doc_words[] = "doc_words";
|
|
static const char __pyx_k_enumerate[] = "enumerate";
|
|
static const char __pyx_k_inv_count[] = "inv_count";
|
|
static const char __pyx_k_ValueError[] = "ValueError";
|
|
static const char __pyx_k_doctag_len[] = "doctag_len";
|
|
static const char __pyx_k_sample_int[] = "sample_int";
|
|
static const char __pyx_k_trainables[] = "trainables";
|
|
static const char __pyx_k_vocabulary[] = "vocabulary";
|
|
static const char __pyx_k_word_locks[] = "word_locks";
|
|
static const char __pyx_k_ImportError[] = "ImportError";
|
|
static const char __pyx_k_layer1_size[] = "layer1_size";
|
|
static const char __pyx_k_learn_words[] = "learn_words";
|
|
static const char __pyx_k_next_random[] = "next_random";
|
|
static const char __pyx_k_train_words[] = "train_words";
|
|
static const char __pyx_k_vector_size[] = "vector_size";
|
|
static const char __pyx_k_RuntimeError[] = "RuntimeError";
|
|
static const char __pyx_k_dm_tag_count[] = "dm_tag_count";
|
|
static const char __pyx_k_doctag_locks[] = "doctag_locks";
|
|
static const char __pyx_k_document_len[] = "document_len";
|
|
static const char __pyx_k_learn_hidden[] = "learn_hidden";
|
|
static const char __pyx_k_predict_word[] = "predict_word";
|
|
static const char __pyx_k_vectors_docs[] = "vectors_docs";
|
|
static const char __pyx_k_word_locks_2[] = "_word_locks";
|
|
static const char __pyx_k_word_vectors[] = "word_vectors";
|
|
static const char __pyx_k_cum_table_len[] = "cum_table_len";
|
|
static const char __pyx_k_learn_doctags[] = "learn_doctags";
|
|
static const char __pyx_k_learn_words_2[] = "_learn_words";
|
|
static const char __pyx_k_train_words_2[] = "_train_words";
|
|
static const char __pyx_k_vectors_lockf[] = "vectors_lockf";
|
|
static const char __pyx_k_doctag_indexes[] = "doctag_indexes";
|
|
static const char __pyx_k_doctag_locks_2[] = "_doctag_locks";
|
|
static const char __pyx_k_doctag_vectors[] = "doctag_vectors";
|
|
static const char __pyx_k_learn_hidden_2[] = "_learn_hidden";
|
|
static const char __pyx_k_window_indexes[] = "window_indexes";
|
|
static const char __pyx_k_word_vectors_2[] = "_word_vectors";
|
|
static const char __pyx_k_learn_doctags_2[] = "_learn_doctags";
|
|
static const char __pyx_k_null_word_index[] = "null_word_index";
|
|
static const char __pyx_k_reduced_windows[] = "reduced_windows";
|
|
static const char __pyx_k_doctag_indexes_2[] = "_doctag_indexes";
|
|
static const char __pyx_k_doctag_vectors_2[] = "_doctag_vectors";
|
|
static const char __pyx_k_scipy_linalg_blas[] = "scipy.linalg.blas";
|
|
static const char __pyx_k_train_document_dm[] = "train_document_dm";
|
|
static const char __pyx_k_cline_in_traceback[] = "cline_in_traceback";
|
|
static const char __pyx_k_vectors_docs_lockf[] = "vectors_docs_lockf";
|
|
static const char __pyx_k_expected_doctag_len[] = "expected_doctag_len";
|
|
static const char __pyx_k_train_document_dbow[] = "train_document_dbow";
|
|
static const char __pyx_k_train_document_dm_concat[] = "train_document_dm_concat";
|
|
static const char __pyx_k_gensim_models_doc2vec_inner[] = "gensim.models.doc2vec_inner";
|
|
static const char __pyx_k_ndarray_is_not_C_contiguous[] = "ndarray is not C contiguous";
|
|
static const char __pyx_k_gensim_models_doc2vec_inner_pyx[] = "gensim/models/doc2vec_inner.pyx";
|
|
static const char __pyx_k_numpy_core_multiarray_failed_to[] = "numpy.core.multiarray failed to import";
|
|
static const char __pyx_k_unknown_dtype_code_in_numpy_pxd[] = "unknown dtype code in numpy.pxd (%d)";
|
|
static const char __pyx_k_Format_string_allocated_too_shor[] = "Format string allocated too short, see comment in numpy.pxd";
|
|
static const char __pyx_k_Non_native_byte_order_not_suppor[] = "Non-native byte order not supported";
|
|
static const char __pyx_k_Optimized_cython_functions_for_t[] = "Optimized cython functions for training :class:`~gensim.models.doc2vec.Doc2Vec` model.";
|
|
static const char __pyx_k_ndarray_is_not_Fortran_contiguou[] = "ndarray is not Fortran contiguous";
|
|
static const char __pyx_k_numpy_core_umath_failed_to_impor[] = "numpy.core.umath failed to import";
|
|
static const char __pyx_k_Format_string_allocated_too_shor_2[] = "Format string allocated too short.";
|
|
static PyObject *__pyx_kp_u_Format_string_allocated_too_shor;
|
|
static PyObject *__pyx_kp_u_Format_string_allocated_too_shor_2;
|
|
static PyObject *__pyx_n_s_ImportError;
|
|
static PyObject *__pyx_kp_u_Non_native_byte_order_not_suppor;
|
|
static PyObject *__pyx_n_s_REAL;
|
|
static PyObject *__pyx_n_s_RuntimeError;
|
|
static PyObject *__pyx_n_s_ValueError;
|
|
static PyObject *__pyx_n_s__17;
|
|
static PyObject *__pyx_kp_s__5;
|
|
static PyObject *__pyx_n_s_alpha;
|
|
static PyObject *__pyx_n_s_alpha_2;
|
|
static PyObject *__pyx_n_s_cbow_mean;
|
|
static PyObject *__pyx_n_s_cline_in_traceback;
|
|
static PyObject *__pyx_n_s_code;
|
|
static PyObject *__pyx_n_s_codelens;
|
|
static PyObject *__pyx_n_s_codes;
|
|
static PyObject *__pyx_n_s_count;
|
|
static PyObject *__pyx_n_s_cum_table;
|
|
static PyObject *__pyx_n_s_cum_table_len;
|
|
static PyObject *__pyx_n_s_dm_tag_count;
|
|
static PyObject *__pyx_n_s_doc_words;
|
|
static PyObject *__pyx_n_s_doctag_indexes;
|
|
static PyObject *__pyx_n_s_doctag_indexes_2;
|
|
static PyObject *__pyx_n_s_doctag_len;
|
|
static PyObject *__pyx_n_s_doctag_locks;
|
|
static PyObject *__pyx_n_s_doctag_locks_2;
|
|
static PyObject *__pyx_n_s_doctag_vectors;
|
|
static PyObject *__pyx_n_s_doctag_vectors_2;
|
|
static PyObject *__pyx_n_s_document_len;
|
|
static PyObject *__pyx_n_s_docvecs;
|
|
static PyObject *__pyx_n_s_dtype;
|
|
static PyObject *__pyx_n_s_enumerate;
|
|
static PyObject *__pyx_n_s_expected_doctag_len;
|
|
static PyObject *__pyx_n_s_fblas;
|
|
static PyObject *__pyx_n_s_float32;
|
|
static PyObject *__pyx_n_s_gensim_models_doc2vec_inner;
|
|
static PyObject *__pyx_kp_s_gensim_models_doc2vec_inner_pyx;
|
|
static PyObject *__pyx_n_s_hs;
|
|
static PyObject *__pyx_n_s_i;
|
|
static PyObject *__pyx_n_s_import;
|
|
static PyObject *__pyx_n_s_index;
|
|
static PyObject *__pyx_n_s_indexes;
|
|
static PyObject *__pyx_n_s_inv_count;
|
|
static PyObject *__pyx_n_s_item;
|
|
static PyObject *__pyx_n_s_j;
|
|
static PyObject *__pyx_n_s_k;
|
|
static PyObject *__pyx_n_s_layer1_size;
|
|
static PyObject *__pyx_n_s_learn_doctags;
|
|
static PyObject *__pyx_n_s_learn_doctags_2;
|
|
static PyObject *__pyx_n_s_learn_hidden;
|
|
static PyObject *__pyx_n_s_learn_hidden_2;
|
|
static PyObject *__pyx_n_s_learn_words;
|
|
static PyObject *__pyx_n_s_learn_words_2;
|
|
static PyObject *__pyx_n_s_m;
|
|
static PyObject *__pyx_n_s_main;
|
|
static PyObject *__pyx_n_s_model;
|
|
static PyObject *__pyx_n_s_n;
|
|
static PyObject *__pyx_kp_u_ndarray_is_not_C_contiguous;
|
|
static PyObject *__pyx_kp_u_ndarray_is_not_Fortran_contiguou;
|
|
static PyObject *__pyx_n_s_negative;
|
|
static PyObject *__pyx_n_s_neu1;
|
|
static PyObject *__pyx_n_s_neu1_2;
|
|
static PyObject *__pyx_n_s_next_random;
|
|
static PyObject *__pyx_n_s_np;
|
|
static PyObject *__pyx_n_s_null_word_index;
|
|
static PyObject *__pyx_n_s_numpy;
|
|
static PyObject *__pyx_kp_s_numpy_core_multiarray_failed_to;
|
|
static PyObject *__pyx_kp_s_numpy_core_umath_failed_to_impor;
|
|
static PyObject *__pyx_n_s_point;
|
|
static PyObject *__pyx_n_s_points;
|
|
static PyObject *__pyx_n_s_predict_word;
|
|
static PyObject *__pyx_n_s_r;
|
|
static PyObject *__pyx_n_s_randint;
|
|
static PyObject *__pyx_n_s_random;
|
|
static PyObject *__pyx_n_s_range;
|
|
static PyObject *__pyx_n_s_reduced_windows;
|
|
static PyObject *__pyx_n_s_result;
|
|
static PyObject *__pyx_n_s_sample;
|
|
static PyObject *__pyx_n_s_sample_int;
|
|
static PyObject *__pyx_n_s_scipy_linalg_blas;
|
|
static PyObject *__pyx_n_s_size;
|
|
static PyObject *__pyx_n_s_syn1;
|
|
static PyObject *__pyx_n_s_syn1neg;
|
|
static PyObject *__pyx_n_s_test;
|
|
static PyObject *__pyx_n_s_token;
|
|
static PyObject *__pyx_n_s_train_document_dbow;
|
|
static PyObject *__pyx_n_s_train_document_dm;
|
|
static PyObject *__pyx_n_s_train_document_dm_concat;
|
|
static PyObject *__pyx_n_s_train_words;
|
|
static PyObject *__pyx_n_s_train_words_2;
|
|
static PyObject *__pyx_n_s_trainables;
|
|
static PyObject *__pyx_kp_u_unknown_dtype_code_in_numpy_pxd;
|
|
static PyObject *__pyx_n_s_vector_size;
|
|
static PyObject *__pyx_n_s_vectors;
|
|
static PyObject *__pyx_n_s_vectors_docs;
|
|
static PyObject *__pyx_n_s_vectors_docs_lockf;
|
|
static PyObject *__pyx_n_s_vectors_lockf;
|
|
static PyObject *__pyx_n_s_vlookup;
|
|
static PyObject *__pyx_n_s_vocab;
|
|
static PyObject *__pyx_n_s_vocabulary;
|
|
static PyObject *__pyx_n_s_window;
|
|
static PyObject *__pyx_n_s_window_indexes;
|
|
static PyObject *__pyx_n_s_word_locks;
|
|
static PyObject *__pyx_n_s_word_locks_2;
|
|
static PyObject *__pyx_n_s_word_vectors;
|
|
static PyObject *__pyx_n_s_word_vectors_2;
|
|
static PyObject *__pyx_n_s_work;
|
|
static PyObject *__pyx_n_s_work_2;
|
|
static PyObject *__pyx_n_s_wv;
|
|
static PyObject *__pyx_n_s_zeros;
|
|
static PyObject *__pyx_pf_6gensim_6models_13doc2vec_inner_train_document_dbow(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_model, PyObject *__pyx_v_doc_words, PyObject *__pyx_v_doctag_indexes, PyObject *__pyx_v_alpha, PyObject *__pyx_v_work, PyObject *__pyx_v_train_words, PyObject *__pyx_v_learn_doctags, PyObject *__pyx_v_learn_words, PyObject *__pyx_v_learn_hidden, PyObject *__pyx_v_word_vectors, PyObject *__pyx_v_word_locks, PyObject *__pyx_v_doctag_vectors, PyObject *__pyx_v_doctag_locks); /* proto */
|
|
static PyObject *__pyx_pf_6gensim_6models_13doc2vec_inner_2train_document_dm(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_model, PyObject *__pyx_v_doc_words, PyObject *__pyx_v_doctag_indexes, PyObject *__pyx_v_alpha, PyObject *__pyx_v_work, PyObject *__pyx_v_neu1, PyObject *__pyx_v_learn_doctags, PyObject *__pyx_v_learn_words, PyObject *__pyx_v_learn_hidden, PyObject *__pyx_v_word_vectors, PyObject *__pyx_v_word_locks, PyObject *__pyx_v_doctag_vectors, PyObject *__pyx_v_doctag_locks); /* proto */
|
|
static PyObject *__pyx_pf_6gensim_6models_13doc2vec_inner_4train_document_dm_concat(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_model, PyObject *__pyx_v_doc_words, PyObject *__pyx_v_doctag_indexes, PyObject *__pyx_v_alpha, PyObject *__pyx_v_work, PyObject *__pyx_v_neu1, PyObject *__pyx_v_learn_doctags, PyObject *__pyx_v_learn_words, PyObject *__pyx_v_learn_hidden, PyObject *__pyx_v_word_vectors, PyObject *__pyx_v_word_locks, PyObject *__pyx_v_doctag_vectors, PyObject *__pyx_v_doctag_locks); /* proto */
|
|
static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /* proto */
|
|
static void __pyx_pf_5numpy_7ndarray_2__releasebuffer__(PyArrayObject *__pyx_v_self, Py_buffer *__pyx_v_info); /* proto */
|
|
static PyObject *__pyx_int_0;
|
|
static PyObject *__pyx_int_16777216;
|
|
static PyObject *__pyx_tuple_;
|
|
static PyObject *__pyx_tuple__2;
|
|
static PyObject *__pyx_tuple__3;
|
|
static PyObject *__pyx_tuple__4;
|
|
static PyObject *__pyx_tuple__6;
|
|
static PyObject *__pyx_tuple__7;
|
|
static PyObject *__pyx_tuple__8;
|
|
static PyObject *__pyx_tuple__9;
|
|
static PyObject *__pyx_tuple__10;
|
|
static PyObject *__pyx_tuple__11;
|
|
static PyObject *__pyx_tuple__12;
|
|
static PyObject *__pyx_tuple__13;
|
|
static PyObject *__pyx_tuple__14;
|
|
static PyObject *__pyx_tuple__15;
|
|
static PyObject *__pyx_tuple__16;
|
|
static PyObject *__pyx_tuple__18;
|
|
static PyObject *__pyx_tuple__20;
|
|
static PyObject *__pyx_tuple__22;
|
|
static PyObject *__pyx_codeobj__19;
|
|
static PyObject *__pyx_codeobj__21;
|
|
static PyObject *__pyx_codeobj__23;
|
|
/* Late includes */
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":37
|
|
* DEF MAX_EXP = 6
|
|
*
|
|
* cdef void fast_document_dbow_hs( # <<<<<<<<<<<<<<
|
|
* const np.uint32_t *word_point, const np.uint8_t *word_code, const int codelen,
|
|
* REAL_t *context_vectors, REAL_t *syn1, const int size,
|
|
*/
|
|
|
|
static void __pyx_f_6gensim_6models_13doc2vec_inner_fast_document_dbow_hs(__pyx_t_5numpy_uint32_t const *__pyx_v_word_point, __pyx_t_5numpy_uint8_t const *__pyx_v_word_code, int const __pyx_v_codelen, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_context_vectors, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_syn1, int const __pyx_v_size, __pyx_t_5numpy_uint32_t const __pyx_v_context_index, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t const __pyx_v_alpha, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_work, int __pyx_v_learn_context, int __pyx_v_learn_hidden, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_context_locks) {
|
|
PY_LONG_LONG __pyx_v_b;
|
|
PY_LONG_LONG __pyx_v_row1;
|
|
PY_LONG_LONG __pyx_v_row2;
|
|
__pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_f;
|
|
__pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_g;
|
|
int __pyx_t_1;
|
|
int __pyx_t_2;
|
|
PY_LONG_LONG __pyx_t_3;
|
|
int __pyx_t_4;
|
|
int __pyx_t_5;
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":44
|
|
*
|
|
* cdef long long a, b
|
|
* cdef long long row1 = context_index * size, row2 # <<<<<<<<<<<<<<
|
|
* cdef REAL_t f, g
|
|
*
|
|
*/
|
|
__pyx_v_row1 = (__pyx_v_context_index * __pyx_v_size);
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":47
|
|
* cdef REAL_t f, g
|
|
*
|
|
* memset(work, 0, size * cython.sizeof(REAL_t)) # <<<<<<<<<<<<<<
|
|
* for b in range(codelen):
|
|
* row2 = word_point[b] * size
|
|
*/
|
|
(void)(memset(__pyx_v_work, 0, (__pyx_v_size * (sizeof(__pyx_t_6gensim_6models_14word2vec_inner_REAL_t)))));
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":48
|
|
*
|
|
* memset(work, 0, size * cython.sizeof(REAL_t))
|
|
* for b in range(codelen): # <<<<<<<<<<<<<<
|
|
* row2 = word_point[b] * size
|
|
* f = our_dot(&size, &context_vectors[row1], &ONE, &syn1[row2], &ONE)
|
|
*/
|
|
__pyx_t_1 = __pyx_v_codelen;
|
|
__pyx_t_2 = __pyx_t_1;
|
|
for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) {
|
|
__pyx_v_b = __pyx_t_3;
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":49
|
|
* memset(work, 0, size * cython.sizeof(REAL_t))
|
|
* for b in range(codelen):
|
|
* row2 = word_point[b] * size # <<<<<<<<<<<<<<
|
|
* f = our_dot(&size, &context_vectors[row1], &ONE, &syn1[row2], &ONE)
|
|
* if f <= -MAX_EXP or f >= MAX_EXP:
|
|
*/
|
|
__pyx_v_row2 = ((__pyx_v_word_point[__pyx_v_b]) * __pyx_v_size);
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":50
|
|
* for b in range(codelen):
|
|
* row2 = word_point[b] * size
|
|
* f = our_dot(&size, &context_vectors[row1], &ONE, &syn1[row2], &ONE) # <<<<<<<<<<<<<<
|
|
* if f <= -MAX_EXP or f >= MAX_EXP:
|
|
* continue
|
|
*/
|
|
__pyx_v_f = __pyx_v_6gensim_6models_14word2vec_inner_our_dot((&__pyx_v_size), (&(__pyx_v_context_vectors[__pyx_v_row1])), (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE), (&(__pyx_v_syn1[__pyx_v_row2])), (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE));
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":51
|
|
* row2 = word_point[b] * size
|
|
* f = our_dot(&size, &context_vectors[row1], &ONE, &syn1[row2], &ONE)
|
|
* if f <= -MAX_EXP or f >= MAX_EXP: # <<<<<<<<<<<<<<
|
|
* continue
|
|
* f = EXP_TABLE[<int>((f + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
|
|
*/
|
|
__pyx_t_5 = ((__pyx_v_f <= -6.0) != 0);
|
|
if (!__pyx_t_5) {
|
|
} else {
|
|
__pyx_t_4 = __pyx_t_5;
|
|
goto __pyx_L6_bool_binop_done;
|
|
}
|
|
__pyx_t_5 = ((__pyx_v_f >= 6.0) != 0);
|
|
__pyx_t_4 = __pyx_t_5;
|
|
__pyx_L6_bool_binop_done:;
|
|
if (__pyx_t_4) {
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":52
|
|
* f = our_dot(&size, &context_vectors[row1], &ONE, &syn1[row2], &ONE)
|
|
* if f <= -MAX_EXP or f >= MAX_EXP:
|
|
* continue # <<<<<<<<<<<<<<
|
|
* f = EXP_TABLE[<int>((f + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
|
|
* g = (1 - word_code[b] - f) * alpha
|
|
*/
|
|
goto __pyx_L3_continue;
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":51
|
|
* row2 = word_point[b] * size
|
|
* f = our_dot(&size, &context_vectors[row1], &ONE, &syn1[row2], &ONE)
|
|
* if f <= -MAX_EXP or f >= MAX_EXP: # <<<<<<<<<<<<<<
|
|
* continue
|
|
* f = EXP_TABLE[<int>((f + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
|
|
*/
|
|
}
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":53
|
|
* if f <= -MAX_EXP or f >= MAX_EXP:
|
|
* continue
|
|
* f = EXP_TABLE[<int>((f + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))] # <<<<<<<<<<<<<<
|
|
* g = (1 - word_code[b] - f) * alpha
|
|
* our_saxpy(&size, &g, &syn1[row2], &ONE, work, &ONE)
|
|
*/
|
|
__pyx_v_f = (__pyx_v_6gensim_6models_14word2vec_inner_EXP_TABLE[((int)((__pyx_v_f + 6.0) * 83.0))]);
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":54
|
|
* continue
|
|
* f = EXP_TABLE[<int>((f + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
|
|
* g = (1 - word_code[b] - f) * alpha # <<<<<<<<<<<<<<
|
|
* our_saxpy(&size, &g, &syn1[row2], &ONE, work, &ONE)
|
|
* if learn_hidden:
|
|
*/
|
|
__pyx_v_g = (((1 - (__pyx_v_word_code[__pyx_v_b])) - __pyx_v_f) * __pyx_v_alpha);
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":55
|
|
* f = EXP_TABLE[<int>((f + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
|
|
* g = (1 - word_code[b] - f) * alpha
|
|
* our_saxpy(&size, &g, &syn1[row2], &ONE, work, &ONE) # <<<<<<<<<<<<<<
|
|
* if learn_hidden:
|
|
* our_saxpy(&size, &g, &context_vectors[row1], &ONE, &syn1[row2], &ONE)
|
|
*/
|
|
__pyx_v_6gensim_6models_14word2vec_inner_our_saxpy((&__pyx_v_size), (&__pyx_v_g), (&(__pyx_v_syn1[__pyx_v_row2])), (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE), __pyx_v_work, (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE));
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":56
|
|
* g = (1 - word_code[b] - f) * alpha
|
|
* our_saxpy(&size, &g, &syn1[row2], &ONE, work, &ONE)
|
|
* if learn_hidden: # <<<<<<<<<<<<<<
|
|
* our_saxpy(&size, &g, &context_vectors[row1], &ONE, &syn1[row2], &ONE)
|
|
* if learn_context:
|
|
*/
|
|
__pyx_t_4 = (__pyx_v_learn_hidden != 0);
|
|
if (__pyx_t_4) {
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":57
|
|
* our_saxpy(&size, &g, &syn1[row2], &ONE, work, &ONE)
|
|
* if learn_hidden:
|
|
* our_saxpy(&size, &g, &context_vectors[row1], &ONE, &syn1[row2], &ONE) # <<<<<<<<<<<<<<
|
|
* if learn_context:
|
|
* our_saxpy(&size, &context_locks[context_index], work, &ONE, &context_vectors[row1], &ONE)
|
|
*/
|
|
__pyx_v_6gensim_6models_14word2vec_inner_our_saxpy((&__pyx_v_size), (&__pyx_v_g), (&(__pyx_v_context_vectors[__pyx_v_row1])), (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE), (&(__pyx_v_syn1[__pyx_v_row2])), (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE));
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":56
|
|
* g = (1 - word_code[b] - f) * alpha
|
|
* our_saxpy(&size, &g, &syn1[row2], &ONE, work, &ONE)
|
|
* if learn_hidden: # <<<<<<<<<<<<<<
|
|
* our_saxpy(&size, &g, &context_vectors[row1], &ONE, &syn1[row2], &ONE)
|
|
* if learn_context:
|
|
*/
|
|
}
|
|
__pyx_L3_continue:;
|
|
}
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":58
|
|
* if learn_hidden:
|
|
* our_saxpy(&size, &g, &context_vectors[row1], &ONE, &syn1[row2], &ONE)
|
|
* if learn_context: # <<<<<<<<<<<<<<
|
|
* our_saxpy(&size, &context_locks[context_index], work, &ONE, &context_vectors[row1], &ONE)
|
|
*
|
|
*/
|
|
__pyx_t_4 = (__pyx_v_learn_context != 0);
|
|
if (__pyx_t_4) {
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":59
|
|
* our_saxpy(&size, &g, &context_vectors[row1], &ONE, &syn1[row2], &ONE)
|
|
* if learn_context:
|
|
* our_saxpy(&size, &context_locks[context_index], work, &ONE, &context_vectors[row1], &ONE) # <<<<<<<<<<<<<<
|
|
*
|
|
*
|
|
*/
|
|
__pyx_v_6gensim_6models_14word2vec_inner_our_saxpy((&__pyx_v_size), (&(__pyx_v_context_locks[__pyx_v_context_index])), __pyx_v_work, (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE), (&(__pyx_v_context_vectors[__pyx_v_row1])), (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE));
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":58
|
|
* if learn_hidden:
|
|
* our_saxpy(&size, &g, &context_vectors[row1], &ONE, &syn1[row2], &ONE)
|
|
* if learn_context: # <<<<<<<<<<<<<<
|
|
* our_saxpy(&size, &context_locks[context_index], work, &ONE, &context_vectors[row1], &ONE)
|
|
*
|
|
*/
|
|
}
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":37
|
|
* DEF MAX_EXP = 6
|
|
*
|
|
* cdef void fast_document_dbow_hs( # <<<<<<<<<<<<<<
|
|
* const np.uint32_t *word_point, const np.uint8_t *word_code, const int codelen,
|
|
* REAL_t *context_vectors, REAL_t *syn1, const int size,
|
|
*/
|
|
|
|
/* function exit code */
|
|
}
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":62
|
|
*
|
|
*
|
|
* cdef unsigned long long fast_document_dbow_neg( # <<<<<<<<<<<<<<
|
|
* const int negative, np.uint32_t *cum_table, unsigned long long cum_table_len,
|
|
* REAL_t *context_vectors, REAL_t *syn1neg, const int size, const np.uint32_t word_index,
|
|
*/
|
|
|
|
static unsigned PY_LONG_LONG __pyx_f_6gensim_6models_13doc2vec_inner_fast_document_dbow_neg(int const __pyx_v_negative, __pyx_t_5numpy_uint32_t *__pyx_v_cum_table, unsigned PY_LONG_LONG __pyx_v_cum_table_len, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_context_vectors, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_syn1neg, int const __pyx_v_size, __pyx_t_5numpy_uint32_t const __pyx_v_word_index, __pyx_t_5numpy_uint32_t const __pyx_v_context_index, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t const __pyx_v_alpha, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_work, unsigned PY_LONG_LONG __pyx_v_next_random, int __pyx_v_learn_context, int __pyx_v_learn_hidden, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_context_locks) {
|
|
PY_LONG_LONG __pyx_v_row1;
|
|
PY_LONG_LONG __pyx_v_row2;
|
|
unsigned PY_LONG_LONG __pyx_v_modulo;
|
|
__pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_f;
|
|
__pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_g;
|
|
__pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_label;
|
|
__pyx_t_5numpy_uint32_t __pyx_v_target_index;
|
|
int __pyx_v_d;
|
|
unsigned PY_LONG_LONG __pyx_r;
|
|
long __pyx_t_1;
|
|
long __pyx_t_2;
|
|
int __pyx_t_3;
|
|
int __pyx_t_4;
|
|
int __pyx_t_5;
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":69
|
|
*
|
|
* cdef long long a
|
|
* cdef long long row1 = context_index * size, row2 # <<<<<<<<<<<<<<
|
|
* cdef unsigned long long modulo = 281474976710655ULL
|
|
* cdef REAL_t f, g, label
|
|
*/
|
|
__pyx_v_row1 = (__pyx_v_context_index * __pyx_v_size);
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":70
|
|
* cdef long long a
|
|
* cdef long long row1 = context_index * size, row2
|
|
* cdef unsigned long long modulo = 281474976710655ULL # <<<<<<<<<<<<<<
|
|
* cdef REAL_t f, g, label
|
|
* cdef np.uint32_t target_index
|
|
*/
|
|
__pyx_v_modulo = 281474976710655ULL;
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":75
|
|
* cdef int d
|
|
*
|
|
* memset(work, 0, size * cython.sizeof(REAL_t)) # <<<<<<<<<<<<<<
|
|
*
|
|
* for d in range(negative+1):
|
|
*/
|
|
(void)(memset(__pyx_v_work, 0, (__pyx_v_size * (sizeof(__pyx_t_6gensim_6models_14word2vec_inner_REAL_t)))));
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":77
|
|
* memset(work, 0, size * cython.sizeof(REAL_t))
|
|
*
|
|
* for d in range(negative+1): # <<<<<<<<<<<<<<
|
|
* if d == 0:
|
|
* target_index = word_index
|
|
*/
|
|
__pyx_t_1 = (__pyx_v_negative + 1);
|
|
__pyx_t_2 = __pyx_t_1;
|
|
for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) {
|
|
__pyx_v_d = __pyx_t_3;
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":78
|
|
*
|
|
* for d in range(negative+1):
|
|
* if d == 0: # <<<<<<<<<<<<<<
|
|
* target_index = word_index
|
|
* label = ONEF
|
|
*/
|
|
__pyx_t_4 = ((__pyx_v_d == 0) != 0);
|
|
if (__pyx_t_4) {
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":79
|
|
* for d in range(negative+1):
|
|
* if d == 0:
|
|
* target_index = word_index # <<<<<<<<<<<<<<
|
|
* label = ONEF
|
|
* else:
|
|
*/
|
|
__pyx_v_target_index = __pyx_v_word_index;
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":80
|
|
* if d == 0:
|
|
* target_index = word_index
|
|
* label = ONEF # <<<<<<<<<<<<<<
|
|
* else:
|
|
* target_index = bisect_left(cum_table, (next_random >> 16) % cum_table[cum_table_len-1], 0, cum_table_len)
|
|
*/
|
|
__pyx_v_label = __pyx_v_6gensim_6models_13doc2vec_inner_ONEF;
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":78
|
|
*
|
|
* for d in range(negative+1):
|
|
* if d == 0: # <<<<<<<<<<<<<<
|
|
* target_index = word_index
|
|
* label = ONEF
|
|
*/
|
|
goto __pyx_L5;
|
|
}
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":82
|
|
* label = ONEF
|
|
* else:
|
|
* target_index = bisect_left(cum_table, (next_random >> 16) % cum_table[cum_table_len-1], 0, cum_table_len) # <<<<<<<<<<<<<<
|
|
* next_random = (next_random * <unsigned long long>25214903917ULL + 11) & modulo
|
|
* if target_index == word_index:
|
|
*/
|
|
/*else*/ {
|
|
__pyx_v_target_index = __pyx_f_6gensim_6models_14word2vec_inner_bisect_left(__pyx_v_cum_table, ((__pyx_v_next_random >> 16) % (__pyx_v_cum_table[(__pyx_v_cum_table_len - 1)])), 0, __pyx_v_cum_table_len);
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":83
|
|
* else:
|
|
* target_index = bisect_left(cum_table, (next_random >> 16) % cum_table[cum_table_len-1], 0, cum_table_len)
|
|
* next_random = (next_random * <unsigned long long>25214903917ULL + 11) & modulo # <<<<<<<<<<<<<<
|
|
* if target_index == word_index:
|
|
* continue
|
|
*/
|
|
__pyx_v_next_random = (((__pyx_v_next_random * ((unsigned PY_LONG_LONG)25214903917ULL)) + 11) & __pyx_v_modulo);
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":84
|
|
* target_index = bisect_left(cum_table, (next_random >> 16) % cum_table[cum_table_len-1], 0, cum_table_len)
|
|
* next_random = (next_random * <unsigned long long>25214903917ULL + 11) & modulo
|
|
* if target_index == word_index: # <<<<<<<<<<<<<<
|
|
* continue
|
|
* label = <REAL_t>0.0
|
|
*/
|
|
__pyx_t_4 = ((__pyx_v_target_index == __pyx_v_word_index) != 0);
|
|
if (__pyx_t_4) {
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":85
|
|
* next_random = (next_random * <unsigned long long>25214903917ULL + 11) & modulo
|
|
* if target_index == word_index:
|
|
* continue # <<<<<<<<<<<<<<
|
|
* label = <REAL_t>0.0
|
|
* row2 = target_index * size
|
|
*/
|
|
goto __pyx_L3_continue;
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":84
|
|
* target_index = bisect_left(cum_table, (next_random >> 16) % cum_table[cum_table_len-1], 0, cum_table_len)
|
|
* next_random = (next_random * <unsigned long long>25214903917ULL + 11) & modulo
|
|
* if target_index == word_index: # <<<<<<<<<<<<<<
|
|
* continue
|
|
* label = <REAL_t>0.0
|
|
*/
|
|
}
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":86
|
|
* if target_index == word_index:
|
|
* continue
|
|
* label = <REAL_t>0.0 # <<<<<<<<<<<<<<
|
|
* row2 = target_index * size
|
|
* f = our_dot(&size, &context_vectors[row1], &ONE, &syn1neg[row2], &ONE)
|
|
*/
|
|
__pyx_v_label = ((__pyx_t_6gensim_6models_14word2vec_inner_REAL_t)0.0);
|
|
}
|
|
__pyx_L5:;
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":87
|
|
* continue
|
|
* label = <REAL_t>0.0
|
|
* row2 = target_index * size # <<<<<<<<<<<<<<
|
|
* f = our_dot(&size, &context_vectors[row1], &ONE, &syn1neg[row2], &ONE)
|
|
* if f <= -MAX_EXP or f >= MAX_EXP:
|
|
*/
|
|
__pyx_v_row2 = (__pyx_v_target_index * __pyx_v_size);
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":88
|
|
* label = <REAL_t>0.0
|
|
* row2 = target_index * size
|
|
* f = our_dot(&size, &context_vectors[row1], &ONE, &syn1neg[row2], &ONE) # <<<<<<<<<<<<<<
|
|
* if f <= -MAX_EXP or f >= MAX_EXP:
|
|
* continue
|
|
*/
|
|
__pyx_v_f = __pyx_v_6gensim_6models_14word2vec_inner_our_dot((&__pyx_v_size), (&(__pyx_v_context_vectors[__pyx_v_row1])), (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE), (&(__pyx_v_syn1neg[__pyx_v_row2])), (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE));
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":89
|
|
* row2 = target_index * size
|
|
* f = our_dot(&size, &context_vectors[row1], &ONE, &syn1neg[row2], &ONE)
|
|
* if f <= -MAX_EXP or f >= MAX_EXP: # <<<<<<<<<<<<<<
|
|
* continue
|
|
* f = EXP_TABLE[<int>((f + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
|
|
*/
|
|
__pyx_t_5 = ((__pyx_v_f <= -6.0) != 0);
|
|
if (!__pyx_t_5) {
|
|
} else {
|
|
__pyx_t_4 = __pyx_t_5;
|
|
goto __pyx_L8_bool_binop_done;
|
|
}
|
|
__pyx_t_5 = ((__pyx_v_f >= 6.0) != 0);
|
|
__pyx_t_4 = __pyx_t_5;
|
|
__pyx_L8_bool_binop_done:;
|
|
if (__pyx_t_4) {
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":90
|
|
* f = our_dot(&size, &context_vectors[row1], &ONE, &syn1neg[row2], &ONE)
|
|
* if f <= -MAX_EXP or f >= MAX_EXP:
|
|
* continue # <<<<<<<<<<<<<<
|
|
* f = EXP_TABLE[<int>((f + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
|
|
* g = (label - f) * alpha
|
|
*/
|
|
goto __pyx_L3_continue;
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":89
|
|
* row2 = target_index * size
|
|
* f = our_dot(&size, &context_vectors[row1], &ONE, &syn1neg[row2], &ONE)
|
|
* if f <= -MAX_EXP or f >= MAX_EXP: # <<<<<<<<<<<<<<
|
|
* continue
|
|
* f = EXP_TABLE[<int>((f + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
|
|
*/
|
|
}
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":91
|
|
* if f <= -MAX_EXP or f >= MAX_EXP:
|
|
* continue
|
|
* f = EXP_TABLE[<int>((f + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))] # <<<<<<<<<<<<<<
|
|
* g = (label - f) * alpha
|
|
* our_saxpy(&size, &g, &syn1neg[row2], &ONE, work, &ONE)
|
|
*/
|
|
__pyx_v_f = (__pyx_v_6gensim_6models_14word2vec_inner_EXP_TABLE[((int)((__pyx_v_f + 6.0) * 83.0))]);
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":92
|
|
* continue
|
|
* f = EXP_TABLE[<int>((f + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
|
|
* g = (label - f) * alpha # <<<<<<<<<<<<<<
|
|
* our_saxpy(&size, &g, &syn1neg[row2], &ONE, work, &ONE)
|
|
* if learn_hidden:
|
|
*/
|
|
__pyx_v_g = ((__pyx_v_label - __pyx_v_f) * __pyx_v_alpha);
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":93
|
|
* f = EXP_TABLE[<int>((f + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
|
|
* g = (label - f) * alpha
|
|
* our_saxpy(&size, &g, &syn1neg[row2], &ONE, work, &ONE) # <<<<<<<<<<<<<<
|
|
* if learn_hidden:
|
|
* our_saxpy(&size, &g, &context_vectors[row1], &ONE, &syn1neg[row2], &ONE)
|
|
*/
|
|
__pyx_v_6gensim_6models_14word2vec_inner_our_saxpy((&__pyx_v_size), (&__pyx_v_g), (&(__pyx_v_syn1neg[__pyx_v_row2])), (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE), __pyx_v_work, (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE));
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":94
|
|
* g = (label - f) * alpha
|
|
* our_saxpy(&size, &g, &syn1neg[row2], &ONE, work, &ONE)
|
|
* if learn_hidden: # <<<<<<<<<<<<<<
|
|
* our_saxpy(&size, &g, &context_vectors[row1], &ONE, &syn1neg[row2], &ONE)
|
|
* if learn_context:
|
|
*/
|
|
__pyx_t_4 = (__pyx_v_learn_hidden != 0);
|
|
if (__pyx_t_4) {
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":95
|
|
* our_saxpy(&size, &g, &syn1neg[row2], &ONE, work, &ONE)
|
|
* if learn_hidden:
|
|
* our_saxpy(&size, &g, &context_vectors[row1], &ONE, &syn1neg[row2], &ONE) # <<<<<<<<<<<<<<
|
|
* if learn_context:
|
|
* our_saxpy(&size, &context_locks[context_index], work, &ONE, &context_vectors[row1], &ONE)
|
|
*/
|
|
__pyx_v_6gensim_6models_14word2vec_inner_our_saxpy((&__pyx_v_size), (&__pyx_v_g), (&(__pyx_v_context_vectors[__pyx_v_row1])), (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE), (&(__pyx_v_syn1neg[__pyx_v_row2])), (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE));
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":94
|
|
* g = (label - f) * alpha
|
|
* our_saxpy(&size, &g, &syn1neg[row2], &ONE, work, &ONE)
|
|
* if learn_hidden: # <<<<<<<<<<<<<<
|
|
* our_saxpy(&size, &g, &context_vectors[row1], &ONE, &syn1neg[row2], &ONE)
|
|
* if learn_context:
|
|
*/
|
|
}
|
|
__pyx_L3_continue:;
|
|
}
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":96
|
|
* if learn_hidden:
|
|
* our_saxpy(&size, &g, &context_vectors[row1], &ONE, &syn1neg[row2], &ONE)
|
|
* if learn_context: # <<<<<<<<<<<<<<
|
|
* our_saxpy(&size, &context_locks[context_index], work, &ONE, &context_vectors[row1], &ONE)
|
|
*
|
|
*/
|
|
__pyx_t_4 = (__pyx_v_learn_context != 0);
|
|
if (__pyx_t_4) {
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":97
|
|
* our_saxpy(&size, &g, &context_vectors[row1], &ONE, &syn1neg[row2], &ONE)
|
|
* if learn_context:
|
|
* our_saxpy(&size, &context_locks[context_index], work, &ONE, &context_vectors[row1], &ONE) # <<<<<<<<<<<<<<
|
|
*
|
|
* return next_random
|
|
*/
|
|
__pyx_v_6gensim_6models_14word2vec_inner_our_saxpy((&__pyx_v_size), (&(__pyx_v_context_locks[__pyx_v_context_index])), __pyx_v_work, (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE), (&(__pyx_v_context_vectors[__pyx_v_row1])), (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE));
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":96
|
|
* if learn_hidden:
|
|
* our_saxpy(&size, &g, &context_vectors[row1], &ONE, &syn1neg[row2], &ONE)
|
|
* if learn_context: # <<<<<<<<<<<<<<
|
|
* our_saxpy(&size, &context_locks[context_index], work, &ONE, &context_vectors[row1], &ONE)
|
|
*
|
|
*/
|
|
}
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":99
|
|
* our_saxpy(&size, &context_locks[context_index], work, &ONE, &context_vectors[row1], &ONE)
|
|
*
|
|
* return next_random # <<<<<<<<<<<<<<
|
|
*
|
|
*
|
|
*/
|
|
__pyx_r = __pyx_v_next_random;
|
|
goto __pyx_L0;
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":62
|
|
*
|
|
*
|
|
* cdef unsigned long long fast_document_dbow_neg( # <<<<<<<<<<<<<<
|
|
* const int negative, np.uint32_t *cum_table, unsigned long long cum_table_len,
|
|
* REAL_t *context_vectors, REAL_t *syn1neg, const int size, const np.uint32_t word_index,
|
|
*/
|
|
|
|
/* function exit code */
|
|
__pyx_L0:;
|
|
return __pyx_r;
|
|
}
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":102
|
|
*
|
|
*
|
|
* cdef void fast_document_dm_hs( # <<<<<<<<<<<<<<
|
|
* const np.uint32_t *word_point, const np.uint8_t *word_code, int word_code_len,
|
|
* REAL_t *neu1, REAL_t *syn1, const REAL_t alpha, REAL_t *work,
|
|
*/
|
|
|
|
static void __pyx_f_6gensim_6models_13doc2vec_inner_fast_document_dm_hs(__pyx_t_5numpy_uint32_t const *__pyx_v_word_point, __pyx_t_5numpy_uint8_t const *__pyx_v_word_code, int __pyx_v_word_code_len, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_neu1, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_syn1, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t const __pyx_v_alpha, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_work, int const __pyx_v_size, int __pyx_v_learn_hidden) {
|
|
PY_LONG_LONG __pyx_v_b;
|
|
PY_LONG_LONG __pyx_v_row2;
|
|
__pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_f;
|
|
__pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_g;
|
|
int __pyx_t_1;
|
|
int __pyx_t_2;
|
|
PY_LONG_LONG __pyx_t_3;
|
|
int __pyx_t_4;
|
|
int __pyx_t_5;
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":113
|
|
* # l1 already composed by caller, passed in as neu1
|
|
* # work (also passed in) will accumulate l1 error
|
|
* for b in range(word_code_len): # <<<<<<<<<<<<<<
|
|
* row2 = word_point[b] * size
|
|
* f = our_dot(&size, neu1, &ONE, &syn1[row2], &ONE)
|
|
*/
|
|
__pyx_t_1 = __pyx_v_word_code_len;
|
|
__pyx_t_2 = __pyx_t_1;
|
|
for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) {
|
|
__pyx_v_b = __pyx_t_3;
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":114
|
|
* # work (also passed in) will accumulate l1 error
|
|
* for b in range(word_code_len):
|
|
* row2 = word_point[b] * size # <<<<<<<<<<<<<<
|
|
* f = our_dot(&size, neu1, &ONE, &syn1[row2], &ONE)
|
|
* if f <= -MAX_EXP or f >= MAX_EXP:
|
|
*/
|
|
__pyx_v_row2 = ((__pyx_v_word_point[__pyx_v_b]) * __pyx_v_size);
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":115
|
|
* for b in range(word_code_len):
|
|
* row2 = word_point[b] * size
|
|
* f = our_dot(&size, neu1, &ONE, &syn1[row2], &ONE) # <<<<<<<<<<<<<<
|
|
* if f <= -MAX_EXP or f >= MAX_EXP:
|
|
* continue
|
|
*/
|
|
__pyx_v_f = __pyx_v_6gensim_6models_14word2vec_inner_our_dot((&__pyx_v_size), __pyx_v_neu1, (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE), (&(__pyx_v_syn1[__pyx_v_row2])), (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE));
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":116
|
|
* row2 = word_point[b] * size
|
|
* f = our_dot(&size, neu1, &ONE, &syn1[row2], &ONE)
|
|
* if f <= -MAX_EXP or f >= MAX_EXP: # <<<<<<<<<<<<<<
|
|
* continue
|
|
* f = EXP_TABLE[<int>((f + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
|
|
*/
|
|
__pyx_t_5 = ((__pyx_v_f <= -6.0) != 0);
|
|
if (!__pyx_t_5) {
|
|
} else {
|
|
__pyx_t_4 = __pyx_t_5;
|
|
goto __pyx_L6_bool_binop_done;
|
|
}
|
|
__pyx_t_5 = ((__pyx_v_f >= 6.0) != 0);
|
|
__pyx_t_4 = __pyx_t_5;
|
|
__pyx_L6_bool_binop_done:;
|
|
if (__pyx_t_4) {
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":117
|
|
* f = our_dot(&size, neu1, &ONE, &syn1[row2], &ONE)
|
|
* if f <= -MAX_EXP or f >= MAX_EXP:
|
|
* continue # <<<<<<<<<<<<<<
|
|
* f = EXP_TABLE[<int>((f + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
|
|
* g = (1 - word_code[b] - f) * alpha
|
|
*/
|
|
goto __pyx_L3_continue;
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":116
|
|
* row2 = word_point[b] * size
|
|
* f = our_dot(&size, neu1, &ONE, &syn1[row2], &ONE)
|
|
* if f <= -MAX_EXP or f >= MAX_EXP: # <<<<<<<<<<<<<<
|
|
* continue
|
|
* f = EXP_TABLE[<int>((f + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
|
|
*/
|
|
}
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":118
|
|
* if f <= -MAX_EXP or f >= MAX_EXP:
|
|
* continue
|
|
* f = EXP_TABLE[<int>((f + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))] # <<<<<<<<<<<<<<
|
|
* g = (1 - word_code[b] - f) * alpha
|
|
* our_saxpy(&size, &g, &syn1[row2], &ONE, work, &ONE)
|
|
*/
|
|
__pyx_v_f = (__pyx_v_6gensim_6models_14word2vec_inner_EXP_TABLE[((int)((__pyx_v_f + 6.0) * 83.0))]);
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":119
|
|
* continue
|
|
* f = EXP_TABLE[<int>((f + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
|
|
* g = (1 - word_code[b] - f) * alpha # <<<<<<<<<<<<<<
|
|
* our_saxpy(&size, &g, &syn1[row2], &ONE, work, &ONE)
|
|
* if learn_hidden:
|
|
*/
|
|
__pyx_v_g = (((1 - (__pyx_v_word_code[__pyx_v_b])) - __pyx_v_f) * __pyx_v_alpha);
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":120
|
|
* f = EXP_TABLE[<int>((f + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
|
|
* g = (1 - word_code[b] - f) * alpha
|
|
* our_saxpy(&size, &g, &syn1[row2], &ONE, work, &ONE) # <<<<<<<<<<<<<<
|
|
* if learn_hidden:
|
|
* our_saxpy(&size, &g, neu1, &ONE, &syn1[row2], &ONE)
|
|
*/
|
|
__pyx_v_6gensim_6models_14word2vec_inner_our_saxpy((&__pyx_v_size), (&__pyx_v_g), (&(__pyx_v_syn1[__pyx_v_row2])), (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE), __pyx_v_work, (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE));
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":121
|
|
* g = (1 - word_code[b] - f) * alpha
|
|
* our_saxpy(&size, &g, &syn1[row2], &ONE, work, &ONE)
|
|
* if learn_hidden: # <<<<<<<<<<<<<<
|
|
* our_saxpy(&size, &g, neu1, &ONE, &syn1[row2], &ONE)
|
|
*
|
|
*/
|
|
__pyx_t_4 = (__pyx_v_learn_hidden != 0);
|
|
if (__pyx_t_4) {
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":122
|
|
* our_saxpy(&size, &g, &syn1[row2], &ONE, work, &ONE)
|
|
* if learn_hidden:
|
|
* our_saxpy(&size, &g, neu1, &ONE, &syn1[row2], &ONE) # <<<<<<<<<<<<<<
|
|
*
|
|
*
|
|
*/
|
|
__pyx_v_6gensim_6models_14word2vec_inner_our_saxpy((&__pyx_v_size), (&__pyx_v_g), __pyx_v_neu1, (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE), (&(__pyx_v_syn1[__pyx_v_row2])), (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE));
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":121
|
|
* g = (1 - word_code[b] - f) * alpha
|
|
* our_saxpy(&size, &g, &syn1[row2], &ONE, work, &ONE)
|
|
* if learn_hidden: # <<<<<<<<<<<<<<
|
|
* our_saxpy(&size, &g, neu1, &ONE, &syn1[row2], &ONE)
|
|
*
|
|
*/
|
|
}
|
|
__pyx_L3_continue:;
|
|
}
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":102
|
|
*
|
|
*
|
|
* cdef void fast_document_dm_hs( # <<<<<<<<<<<<<<
|
|
* const np.uint32_t *word_point, const np.uint8_t *word_code, int word_code_len,
|
|
* REAL_t *neu1, REAL_t *syn1, const REAL_t alpha, REAL_t *work,
|
|
*/
|
|
|
|
/* function exit code */
|
|
}
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":125
|
|
*
|
|
*
|
|
* cdef unsigned long long fast_document_dm_neg( # <<<<<<<<<<<<<<
|
|
* const int negative, np.uint32_t *cum_table, unsigned long long cum_table_len, unsigned long long next_random,
|
|
* REAL_t *neu1, REAL_t *syn1neg, const int predict_word_index, const REAL_t alpha, REAL_t *work,
|
|
*/
|
|
|
|
static unsigned PY_LONG_LONG __pyx_f_6gensim_6models_13doc2vec_inner_fast_document_dm_neg(int const __pyx_v_negative, __pyx_t_5numpy_uint32_t *__pyx_v_cum_table, unsigned PY_LONG_LONG __pyx_v_cum_table_len, unsigned PY_LONG_LONG __pyx_v_next_random, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_neu1, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_syn1neg, int const __pyx_v_predict_word_index, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t const __pyx_v_alpha, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_work, int const __pyx_v_size, int __pyx_v_learn_hidden) {
|
|
PY_LONG_LONG __pyx_v_row2;
|
|
unsigned PY_LONG_LONG __pyx_v_modulo;
|
|
__pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_f;
|
|
__pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_g;
|
|
__pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_label;
|
|
__pyx_t_5numpy_uint32_t __pyx_v_target_index;
|
|
int __pyx_v_d;
|
|
unsigned PY_LONG_LONG __pyx_r;
|
|
long __pyx_t_1;
|
|
long __pyx_t_2;
|
|
int __pyx_t_3;
|
|
int __pyx_t_4;
|
|
int __pyx_t_5;
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":131
|
|
*
|
|
* cdef long long row2
|
|
* cdef unsigned long long modulo = 281474976710655ULL # <<<<<<<<<<<<<<
|
|
* cdef REAL_t f, g, label
|
|
* cdef np.uint32_t target_index
|
|
*/
|
|
__pyx_v_modulo = 281474976710655ULL;
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":138
|
|
* # l1 already composed by caller, passed in as neu1
|
|
* # work (also passsed in) will accumulate l1 error for outside application
|
|
* for d in range(negative+1): # <<<<<<<<<<<<<<
|
|
* if d == 0:
|
|
* target_index = predict_word_index
|
|
*/
|
|
__pyx_t_1 = (__pyx_v_negative + 1);
|
|
__pyx_t_2 = __pyx_t_1;
|
|
for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) {
|
|
__pyx_v_d = __pyx_t_3;
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":139
|
|
* # work (also passsed in) will accumulate l1 error for outside application
|
|
* for d in range(negative+1):
|
|
* if d == 0: # <<<<<<<<<<<<<<
|
|
* target_index = predict_word_index
|
|
* label = ONEF
|
|
*/
|
|
__pyx_t_4 = ((__pyx_v_d == 0) != 0);
|
|
if (__pyx_t_4) {
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":140
|
|
* for d in range(negative+1):
|
|
* if d == 0:
|
|
* target_index = predict_word_index # <<<<<<<<<<<<<<
|
|
* label = ONEF
|
|
* else:
|
|
*/
|
|
__pyx_v_target_index = __pyx_v_predict_word_index;
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":141
|
|
* if d == 0:
|
|
* target_index = predict_word_index
|
|
* label = ONEF # <<<<<<<<<<<<<<
|
|
* else:
|
|
* target_index = bisect_left(cum_table, (next_random >> 16) % cum_table[cum_table_len-1], 0, cum_table_len)
|
|
*/
|
|
__pyx_v_label = __pyx_v_6gensim_6models_13doc2vec_inner_ONEF;
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":139
|
|
* # work (also passsed in) will accumulate l1 error for outside application
|
|
* for d in range(negative+1):
|
|
* if d == 0: # <<<<<<<<<<<<<<
|
|
* target_index = predict_word_index
|
|
* label = ONEF
|
|
*/
|
|
goto __pyx_L5;
|
|
}
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":143
|
|
* label = ONEF
|
|
* else:
|
|
* target_index = bisect_left(cum_table, (next_random >> 16) % cum_table[cum_table_len-1], 0, cum_table_len) # <<<<<<<<<<<<<<
|
|
* next_random = (next_random * <unsigned long long>25214903917ULL + 11) & modulo
|
|
* if target_index == predict_word_index:
|
|
*/
|
|
/*else*/ {
|
|
__pyx_v_target_index = __pyx_f_6gensim_6models_14word2vec_inner_bisect_left(__pyx_v_cum_table, ((__pyx_v_next_random >> 16) % (__pyx_v_cum_table[(__pyx_v_cum_table_len - 1)])), 0, __pyx_v_cum_table_len);
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":144
|
|
* else:
|
|
* target_index = bisect_left(cum_table, (next_random >> 16) % cum_table[cum_table_len-1], 0, cum_table_len)
|
|
* next_random = (next_random * <unsigned long long>25214903917ULL + 11) & modulo # <<<<<<<<<<<<<<
|
|
* if target_index == predict_word_index:
|
|
* continue
|
|
*/
|
|
__pyx_v_next_random = (((__pyx_v_next_random * ((unsigned PY_LONG_LONG)25214903917ULL)) + 11) & __pyx_v_modulo);
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":145
|
|
* target_index = bisect_left(cum_table, (next_random >> 16) % cum_table[cum_table_len-1], 0, cum_table_len)
|
|
* next_random = (next_random * <unsigned long long>25214903917ULL + 11) & modulo
|
|
* if target_index == predict_word_index: # <<<<<<<<<<<<<<
|
|
* continue
|
|
* label = <REAL_t>0.0
|
|
*/
|
|
__pyx_t_4 = ((__pyx_v_target_index == __pyx_v_predict_word_index) != 0);
|
|
if (__pyx_t_4) {
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":146
|
|
* next_random = (next_random * <unsigned long long>25214903917ULL + 11) & modulo
|
|
* if target_index == predict_word_index:
|
|
* continue # <<<<<<<<<<<<<<
|
|
* label = <REAL_t>0.0
|
|
*
|
|
*/
|
|
goto __pyx_L3_continue;
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":145
|
|
* target_index = bisect_left(cum_table, (next_random >> 16) % cum_table[cum_table_len-1], 0, cum_table_len)
|
|
* next_random = (next_random * <unsigned long long>25214903917ULL + 11) & modulo
|
|
* if target_index == predict_word_index: # <<<<<<<<<<<<<<
|
|
* continue
|
|
* label = <REAL_t>0.0
|
|
*/
|
|
}
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":147
|
|
* if target_index == predict_word_index:
|
|
* continue
|
|
* label = <REAL_t>0.0 # <<<<<<<<<<<<<<
|
|
*
|
|
* row2 = target_index * size
|
|
*/
|
|
__pyx_v_label = ((__pyx_t_6gensim_6models_14word2vec_inner_REAL_t)0.0);
|
|
}
|
|
__pyx_L5:;
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":149
|
|
* label = <REAL_t>0.0
|
|
*
|
|
* row2 = target_index * size # <<<<<<<<<<<<<<
|
|
* f = our_dot(&size, neu1, &ONE, &syn1neg[row2], &ONE)
|
|
* if f <= -MAX_EXP or f >= MAX_EXP:
|
|
*/
|
|
__pyx_v_row2 = (__pyx_v_target_index * __pyx_v_size);
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":150
|
|
*
|
|
* row2 = target_index * size
|
|
* f = our_dot(&size, neu1, &ONE, &syn1neg[row2], &ONE) # <<<<<<<<<<<<<<
|
|
* if f <= -MAX_EXP or f >= MAX_EXP:
|
|
* continue
|
|
*/
|
|
__pyx_v_f = __pyx_v_6gensim_6models_14word2vec_inner_our_dot((&__pyx_v_size), __pyx_v_neu1, (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE), (&(__pyx_v_syn1neg[__pyx_v_row2])), (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE));
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":151
|
|
* row2 = target_index * size
|
|
* f = our_dot(&size, neu1, &ONE, &syn1neg[row2], &ONE)
|
|
* if f <= -MAX_EXP or f >= MAX_EXP: # <<<<<<<<<<<<<<
|
|
* continue
|
|
* f = EXP_TABLE[<int>((f + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
|
|
*/
|
|
__pyx_t_5 = ((__pyx_v_f <= -6.0) != 0);
|
|
if (!__pyx_t_5) {
|
|
} else {
|
|
__pyx_t_4 = __pyx_t_5;
|
|
goto __pyx_L8_bool_binop_done;
|
|
}
|
|
__pyx_t_5 = ((__pyx_v_f >= 6.0) != 0);
|
|
__pyx_t_4 = __pyx_t_5;
|
|
__pyx_L8_bool_binop_done:;
|
|
if (__pyx_t_4) {
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":152
|
|
* f = our_dot(&size, neu1, &ONE, &syn1neg[row2], &ONE)
|
|
* if f <= -MAX_EXP or f >= MAX_EXP:
|
|
* continue # <<<<<<<<<<<<<<
|
|
* f = EXP_TABLE[<int>((f + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
|
|
* g = (label - f) * alpha
|
|
*/
|
|
goto __pyx_L3_continue;
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":151
|
|
* row2 = target_index * size
|
|
* f = our_dot(&size, neu1, &ONE, &syn1neg[row2], &ONE)
|
|
* if f <= -MAX_EXP or f >= MAX_EXP: # <<<<<<<<<<<<<<
|
|
* continue
|
|
* f = EXP_TABLE[<int>((f + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
|
|
*/
|
|
}
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":153
|
|
* if f <= -MAX_EXP or f >= MAX_EXP:
|
|
* continue
|
|
* f = EXP_TABLE[<int>((f + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))] # <<<<<<<<<<<<<<
|
|
* g = (label - f) * alpha
|
|
* our_saxpy(&size, &g, &syn1neg[row2], &ONE, work, &ONE)
|
|
*/
|
|
__pyx_v_f = (__pyx_v_6gensim_6models_14word2vec_inner_EXP_TABLE[((int)((__pyx_v_f + 6.0) * 83.0))]);
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":154
|
|
* continue
|
|
* f = EXP_TABLE[<int>((f + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
|
|
* g = (label - f) * alpha # <<<<<<<<<<<<<<
|
|
* our_saxpy(&size, &g, &syn1neg[row2], &ONE, work, &ONE)
|
|
* if learn_hidden:
|
|
*/
|
|
__pyx_v_g = ((__pyx_v_label - __pyx_v_f) * __pyx_v_alpha);
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":155
|
|
* f = EXP_TABLE[<int>((f + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
|
|
* g = (label - f) * alpha
|
|
* our_saxpy(&size, &g, &syn1neg[row2], &ONE, work, &ONE) # <<<<<<<<<<<<<<
|
|
* if learn_hidden:
|
|
* our_saxpy(&size, &g, neu1, &ONE, &syn1neg[row2], &ONE)
|
|
*/
|
|
__pyx_v_6gensim_6models_14word2vec_inner_our_saxpy((&__pyx_v_size), (&__pyx_v_g), (&(__pyx_v_syn1neg[__pyx_v_row2])), (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE), __pyx_v_work, (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE));
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":156
|
|
* g = (label - f) * alpha
|
|
* our_saxpy(&size, &g, &syn1neg[row2], &ONE, work, &ONE)
|
|
* if learn_hidden: # <<<<<<<<<<<<<<
|
|
* our_saxpy(&size, &g, neu1, &ONE, &syn1neg[row2], &ONE)
|
|
*
|
|
*/
|
|
__pyx_t_4 = (__pyx_v_learn_hidden != 0);
|
|
if (__pyx_t_4) {
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":157
|
|
* our_saxpy(&size, &g, &syn1neg[row2], &ONE, work, &ONE)
|
|
* if learn_hidden:
|
|
* our_saxpy(&size, &g, neu1, &ONE, &syn1neg[row2], &ONE) # <<<<<<<<<<<<<<
|
|
*
|
|
* return next_random
|
|
*/
|
|
__pyx_v_6gensim_6models_14word2vec_inner_our_saxpy((&__pyx_v_size), (&__pyx_v_g), __pyx_v_neu1, (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE), (&(__pyx_v_syn1neg[__pyx_v_row2])), (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE));
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":156
|
|
* g = (label - f) * alpha
|
|
* our_saxpy(&size, &g, &syn1neg[row2], &ONE, work, &ONE)
|
|
* if learn_hidden: # <<<<<<<<<<<<<<
|
|
* our_saxpy(&size, &g, neu1, &ONE, &syn1neg[row2], &ONE)
|
|
*
|
|
*/
|
|
}
|
|
__pyx_L3_continue:;
|
|
}
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":159
|
|
* our_saxpy(&size, &g, neu1, &ONE, &syn1neg[row2], &ONE)
|
|
*
|
|
* return next_random # <<<<<<<<<<<<<<
|
|
*
|
|
* cdef void fast_document_dmc_hs(
|
|
*/
|
|
__pyx_r = __pyx_v_next_random;
|
|
goto __pyx_L0;
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":125
|
|
*
|
|
*
|
|
* cdef unsigned long long fast_document_dm_neg( # <<<<<<<<<<<<<<
|
|
* const int negative, np.uint32_t *cum_table, unsigned long long cum_table_len, unsigned long long next_random,
|
|
* REAL_t *neu1, REAL_t *syn1neg, const int predict_word_index, const REAL_t alpha, REAL_t *work,
|
|
*/
|
|
|
|
/* function exit code */
|
|
__pyx_L0:;
|
|
return __pyx_r;
|
|
}
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":161
|
|
* return next_random
|
|
*
|
|
* cdef void fast_document_dmc_hs( # <<<<<<<<<<<<<<
|
|
* const np.uint32_t *word_point, const np.uint8_t *word_code, int word_code_len,
|
|
* REAL_t *neu1, REAL_t *syn1, const REAL_t alpha, REAL_t *work,
|
|
*/
|
|
|
|
static void __pyx_f_6gensim_6models_13doc2vec_inner_fast_document_dmc_hs(__pyx_t_5numpy_uint32_t const *__pyx_v_word_point, __pyx_t_5numpy_uint8_t const *__pyx_v_word_code, int __pyx_v_word_code_len, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_neu1, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_syn1, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t const __pyx_v_alpha, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_work, int const __pyx_v_layer1_size, CYTHON_UNUSED int const __pyx_v_vector_size, int __pyx_v_learn_hidden) {
|
|
PY_LONG_LONG __pyx_v_b;
|
|
PY_LONG_LONG __pyx_v_row2;
|
|
__pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_f;
|
|
__pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_g;
|
|
int __pyx_t_1;
|
|
int __pyx_t_2;
|
|
PY_LONG_LONG __pyx_t_3;
|
|
int __pyx_t_4;
|
|
int __pyx_t_5;
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":173
|
|
* # l1 already composed by caller, passed in as neu1
|
|
* # work accumulates net l1 error; eventually applied by caller
|
|
* for b in range(word_code_len): # <<<<<<<<<<<<<<
|
|
* row2 = word_point[b] * layer1_size
|
|
* f = our_dot(&layer1_size, neu1, &ONE, &syn1[row2], &ONE)
|
|
*/
|
|
__pyx_t_1 = __pyx_v_word_code_len;
|
|
__pyx_t_2 = __pyx_t_1;
|
|
for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) {
|
|
__pyx_v_b = __pyx_t_3;
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":174
|
|
* # work accumulates net l1 error; eventually applied by caller
|
|
* for b in range(word_code_len):
|
|
* row2 = word_point[b] * layer1_size # <<<<<<<<<<<<<<
|
|
* f = our_dot(&layer1_size, neu1, &ONE, &syn1[row2], &ONE)
|
|
* if f <= -MAX_EXP or f >= MAX_EXP:
|
|
*/
|
|
__pyx_v_row2 = ((__pyx_v_word_point[__pyx_v_b]) * __pyx_v_layer1_size);
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":175
|
|
* for b in range(word_code_len):
|
|
* row2 = word_point[b] * layer1_size
|
|
* f = our_dot(&layer1_size, neu1, &ONE, &syn1[row2], &ONE) # <<<<<<<<<<<<<<
|
|
* if f <= -MAX_EXP or f >= MAX_EXP:
|
|
* continue
|
|
*/
|
|
__pyx_v_f = __pyx_v_6gensim_6models_14word2vec_inner_our_dot((&__pyx_v_layer1_size), __pyx_v_neu1, (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE), (&(__pyx_v_syn1[__pyx_v_row2])), (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE));
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":176
|
|
* row2 = word_point[b] * layer1_size
|
|
* f = our_dot(&layer1_size, neu1, &ONE, &syn1[row2], &ONE)
|
|
* if f <= -MAX_EXP or f >= MAX_EXP: # <<<<<<<<<<<<<<
|
|
* continue
|
|
* f = EXP_TABLE[<int>((f + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
|
|
*/
|
|
__pyx_t_5 = ((__pyx_v_f <= -6.0) != 0);
|
|
if (!__pyx_t_5) {
|
|
} else {
|
|
__pyx_t_4 = __pyx_t_5;
|
|
goto __pyx_L6_bool_binop_done;
|
|
}
|
|
__pyx_t_5 = ((__pyx_v_f >= 6.0) != 0);
|
|
__pyx_t_4 = __pyx_t_5;
|
|
__pyx_L6_bool_binop_done:;
|
|
if (__pyx_t_4) {
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":177
|
|
* f = our_dot(&layer1_size, neu1, &ONE, &syn1[row2], &ONE)
|
|
* if f <= -MAX_EXP or f >= MAX_EXP:
|
|
* continue # <<<<<<<<<<<<<<
|
|
* f = EXP_TABLE[<int>((f + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
|
|
* g = (1 - word_code[b] - f) * alpha
|
|
*/
|
|
goto __pyx_L3_continue;
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":176
|
|
* row2 = word_point[b] * layer1_size
|
|
* f = our_dot(&layer1_size, neu1, &ONE, &syn1[row2], &ONE)
|
|
* if f <= -MAX_EXP or f >= MAX_EXP: # <<<<<<<<<<<<<<
|
|
* continue
|
|
* f = EXP_TABLE[<int>((f + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
|
|
*/
|
|
}
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":178
|
|
* if f <= -MAX_EXP or f >= MAX_EXP:
|
|
* continue
|
|
* f = EXP_TABLE[<int>((f + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))] # <<<<<<<<<<<<<<
|
|
* g = (1 - word_code[b] - f) * alpha
|
|
* our_saxpy(&layer1_size, &g, &syn1[row2], &ONE, work, &ONE)
|
|
*/
|
|
__pyx_v_f = (__pyx_v_6gensim_6models_14word2vec_inner_EXP_TABLE[((int)((__pyx_v_f + 6.0) * 83.0))]);
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":179
|
|
* continue
|
|
* f = EXP_TABLE[<int>((f + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
|
|
* g = (1 - word_code[b] - f) * alpha # <<<<<<<<<<<<<<
|
|
* our_saxpy(&layer1_size, &g, &syn1[row2], &ONE, work, &ONE)
|
|
* if learn_hidden:
|
|
*/
|
|
__pyx_v_g = (((1 - (__pyx_v_word_code[__pyx_v_b])) - __pyx_v_f) * __pyx_v_alpha);
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":180
|
|
* f = EXP_TABLE[<int>((f + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
|
|
* g = (1 - word_code[b] - f) * alpha
|
|
* our_saxpy(&layer1_size, &g, &syn1[row2], &ONE, work, &ONE) # <<<<<<<<<<<<<<
|
|
* if learn_hidden:
|
|
* our_saxpy(&layer1_size, &g, neu1, &ONE, &syn1[row2], &ONE)
|
|
*/
|
|
__pyx_v_6gensim_6models_14word2vec_inner_our_saxpy((&__pyx_v_layer1_size), (&__pyx_v_g), (&(__pyx_v_syn1[__pyx_v_row2])), (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE), __pyx_v_work, (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE));
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":181
|
|
* g = (1 - word_code[b] - f) * alpha
|
|
* our_saxpy(&layer1_size, &g, &syn1[row2], &ONE, work, &ONE)
|
|
* if learn_hidden: # <<<<<<<<<<<<<<
|
|
* our_saxpy(&layer1_size, &g, neu1, &ONE, &syn1[row2], &ONE)
|
|
*
|
|
*/
|
|
__pyx_t_4 = (__pyx_v_learn_hidden != 0);
|
|
if (__pyx_t_4) {
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":182
|
|
* our_saxpy(&layer1_size, &g, &syn1[row2], &ONE, work, &ONE)
|
|
* if learn_hidden:
|
|
* our_saxpy(&layer1_size, &g, neu1, &ONE, &syn1[row2], &ONE) # <<<<<<<<<<<<<<
|
|
*
|
|
*
|
|
*/
|
|
__pyx_v_6gensim_6models_14word2vec_inner_our_saxpy((&__pyx_v_layer1_size), (&__pyx_v_g), __pyx_v_neu1, (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE), (&(__pyx_v_syn1[__pyx_v_row2])), (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE));
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":181
|
|
* g = (1 - word_code[b] - f) * alpha
|
|
* our_saxpy(&layer1_size, &g, &syn1[row2], &ONE, work, &ONE)
|
|
* if learn_hidden: # <<<<<<<<<<<<<<
|
|
* our_saxpy(&layer1_size, &g, neu1, &ONE, &syn1[row2], &ONE)
|
|
*
|
|
*/
|
|
}
|
|
__pyx_L3_continue:;
|
|
}
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":161
|
|
* return next_random
|
|
*
|
|
* cdef void fast_document_dmc_hs( # <<<<<<<<<<<<<<
|
|
* const np.uint32_t *word_point, const np.uint8_t *word_code, int word_code_len,
|
|
* REAL_t *neu1, REAL_t *syn1, const REAL_t alpha, REAL_t *work,
|
|
*/
|
|
|
|
/* function exit code */
|
|
}
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":185
|
|
*
|
|
*
|
|
* cdef unsigned long long fast_document_dmc_neg( # <<<<<<<<<<<<<<
|
|
* const int negative, np.uint32_t *cum_table, unsigned long long cum_table_len, unsigned long long next_random,
|
|
* REAL_t *neu1, REAL_t *syn1neg, const int predict_word_index, const REAL_t alpha, REAL_t *work,
|
|
*/
|
|
|
|
static unsigned PY_LONG_LONG __pyx_f_6gensim_6models_13doc2vec_inner_fast_document_dmc_neg(int const __pyx_v_negative, __pyx_t_5numpy_uint32_t *__pyx_v_cum_table, unsigned PY_LONG_LONG __pyx_v_cum_table_len, unsigned PY_LONG_LONG __pyx_v_next_random, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_neu1, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_syn1neg, int const __pyx_v_predict_word_index, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t const __pyx_v_alpha, __pyx_t_6gensim_6models_14word2vec_inner_REAL_t *__pyx_v_work, int const __pyx_v_layer1_size, CYTHON_UNUSED int const __pyx_v_vector_size, int __pyx_v_learn_hidden) {
|
|
PY_LONG_LONG __pyx_v_row2;
|
|
unsigned PY_LONG_LONG __pyx_v_modulo;
|
|
__pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_f;
|
|
__pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_g;
|
|
__pyx_t_6gensim_6models_14word2vec_inner_REAL_t __pyx_v_label;
|
|
__pyx_t_5numpy_uint32_t __pyx_v_target_index;
|
|
int __pyx_v_d;
|
|
unsigned PY_LONG_LONG __pyx_r;
|
|
long __pyx_t_1;
|
|
long __pyx_t_2;
|
|
int __pyx_t_3;
|
|
int __pyx_t_4;
|
|
int __pyx_t_5;
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":192
|
|
* cdef long long a
|
|
* cdef long long row2
|
|
* cdef unsigned long long modulo = 281474976710655ULL # <<<<<<<<<<<<<<
|
|
* cdef REAL_t f, g, label
|
|
* cdef np.uint32_t target_index
|
|
*/
|
|
__pyx_v_modulo = 281474976710655ULL;
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":199
|
|
* # l1 already composed by caller, passed in as neu1
|
|
* # work accumulates net l1 error; eventually applied by caller
|
|
* for d in range(negative+1): # <<<<<<<<<<<<<<
|
|
* if d == 0:
|
|
* target_index = predict_word_index
|
|
*/
|
|
__pyx_t_1 = (__pyx_v_negative + 1);
|
|
__pyx_t_2 = __pyx_t_1;
|
|
for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) {
|
|
__pyx_v_d = __pyx_t_3;
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":200
|
|
* # work accumulates net l1 error; eventually applied by caller
|
|
* for d in range(negative+1):
|
|
* if d == 0: # <<<<<<<<<<<<<<
|
|
* target_index = predict_word_index
|
|
* label = ONEF
|
|
*/
|
|
__pyx_t_4 = ((__pyx_v_d == 0) != 0);
|
|
if (__pyx_t_4) {
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":201
|
|
* for d in range(negative+1):
|
|
* if d == 0:
|
|
* target_index = predict_word_index # <<<<<<<<<<<<<<
|
|
* label = ONEF
|
|
* else:
|
|
*/
|
|
__pyx_v_target_index = __pyx_v_predict_word_index;
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":202
|
|
* if d == 0:
|
|
* target_index = predict_word_index
|
|
* label = ONEF # <<<<<<<<<<<<<<
|
|
* else:
|
|
* target_index = bisect_left(cum_table, (next_random >> 16) % cum_table[cum_table_len-1], 0, cum_table_len)
|
|
*/
|
|
__pyx_v_label = __pyx_v_6gensim_6models_13doc2vec_inner_ONEF;
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":200
|
|
* # work accumulates net l1 error; eventually applied by caller
|
|
* for d in range(negative+1):
|
|
* if d == 0: # <<<<<<<<<<<<<<
|
|
* target_index = predict_word_index
|
|
* label = ONEF
|
|
*/
|
|
goto __pyx_L5;
|
|
}
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":204
|
|
* label = ONEF
|
|
* else:
|
|
* target_index = bisect_left(cum_table, (next_random >> 16) % cum_table[cum_table_len-1], 0, cum_table_len) # <<<<<<<<<<<<<<
|
|
* next_random = (next_random * <unsigned long long>25214903917ULL + 11) & modulo
|
|
* if target_index == predict_word_index:
|
|
*/
|
|
/*else*/ {
|
|
__pyx_v_target_index = __pyx_f_6gensim_6models_14word2vec_inner_bisect_left(__pyx_v_cum_table, ((__pyx_v_next_random >> 16) % (__pyx_v_cum_table[(__pyx_v_cum_table_len - 1)])), 0, __pyx_v_cum_table_len);
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":205
|
|
* else:
|
|
* target_index = bisect_left(cum_table, (next_random >> 16) % cum_table[cum_table_len-1], 0, cum_table_len)
|
|
* next_random = (next_random * <unsigned long long>25214903917ULL + 11) & modulo # <<<<<<<<<<<<<<
|
|
* if target_index == predict_word_index:
|
|
* continue
|
|
*/
|
|
__pyx_v_next_random = (((__pyx_v_next_random * ((unsigned PY_LONG_LONG)25214903917ULL)) + 11) & __pyx_v_modulo);
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":206
|
|
* target_index = bisect_left(cum_table, (next_random >> 16) % cum_table[cum_table_len-1], 0, cum_table_len)
|
|
* next_random = (next_random * <unsigned long long>25214903917ULL + 11) & modulo
|
|
* if target_index == predict_word_index: # <<<<<<<<<<<<<<
|
|
* continue
|
|
* label = <REAL_t>0.0
|
|
*/
|
|
__pyx_t_4 = ((__pyx_v_target_index == __pyx_v_predict_word_index) != 0);
|
|
if (__pyx_t_4) {
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":207
|
|
* next_random = (next_random * <unsigned long long>25214903917ULL + 11) & modulo
|
|
* if target_index == predict_word_index:
|
|
* continue # <<<<<<<<<<<<<<
|
|
* label = <REAL_t>0.0
|
|
*
|
|
*/
|
|
goto __pyx_L3_continue;
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":206
|
|
* target_index = bisect_left(cum_table, (next_random >> 16) % cum_table[cum_table_len-1], 0, cum_table_len)
|
|
* next_random = (next_random * <unsigned long long>25214903917ULL + 11) & modulo
|
|
* if target_index == predict_word_index: # <<<<<<<<<<<<<<
|
|
* continue
|
|
* label = <REAL_t>0.0
|
|
*/
|
|
}
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":208
|
|
* if target_index == predict_word_index:
|
|
* continue
|
|
* label = <REAL_t>0.0 # <<<<<<<<<<<<<<
|
|
*
|
|
* row2 = target_index * layer1_size
|
|
*/
|
|
__pyx_v_label = ((__pyx_t_6gensim_6models_14word2vec_inner_REAL_t)0.0);
|
|
}
|
|
__pyx_L5:;
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":210
|
|
* label = <REAL_t>0.0
|
|
*
|
|
* row2 = target_index * layer1_size # <<<<<<<<<<<<<<
|
|
* f = our_dot(&layer1_size, neu1, &ONE, &syn1neg[row2], &ONE)
|
|
* if f <= -MAX_EXP or f >= MAX_EXP:
|
|
*/
|
|
__pyx_v_row2 = (__pyx_v_target_index * __pyx_v_layer1_size);
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":211
|
|
*
|
|
* row2 = target_index * layer1_size
|
|
* f = our_dot(&layer1_size, neu1, &ONE, &syn1neg[row2], &ONE) # <<<<<<<<<<<<<<
|
|
* if f <= -MAX_EXP or f >= MAX_EXP:
|
|
* continue
|
|
*/
|
|
__pyx_v_f = __pyx_v_6gensim_6models_14word2vec_inner_our_dot((&__pyx_v_layer1_size), __pyx_v_neu1, (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE), (&(__pyx_v_syn1neg[__pyx_v_row2])), (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE));
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":212
|
|
* row2 = target_index * layer1_size
|
|
* f = our_dot(&layer1_size, neu1, &ONE, &syn1neg[row2], &ONE)
|
|
* if f <= -MAX_EXP or f >= MAX_EXP: # <<<<<<<<<<<<<<
|
|
* continue
|
|
* f = EXP_TABLE[<int>((f + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
|
|
*/
|
|
__pyx_t_5 = ((__pyx_v_f <= -6.0) != 0);
|
|
if (!__pyx_t_5) {
|
|
} else {
|
|
__pyx_t_4 = __pyx_t_5;
|
|
goto __pyx_L8_bool_binop_done;
|
|
}
|
|
__pyx_t_5 = ((__pyx_v_f >= 6.0) != 0);
|
|
__pyx_t_4 = __pyx_t_5;
|
|
__pyx_L8_bool_binop_done:;
|
|
if (__pyx_t_4) {
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":213
|
|
* f = our_dot(&layer1_size, neu1, &ONE, &syn1neg[row2], &ONE)
|
|
* if f <= -MAX_EXP or f >= MAX_EXP:
|
|
* continue # <<<<<<<<<<<<<<
|
|
* f = EXP_TABLE[<int>((f + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
|
|
* g = (label - f) * alpha
|
|
*/
|
|
goto __pyx_L3_continue;
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":212
|
|
* row2 = target_index * layer1_size
|
|
* f = our_dot(&layer1_size, neu1, &ONE, &syn1neg[row2], &ONE)
|
|
* if f <= -MAX_EXP or f >= MAX_EXP: # <<<<<<<<<<<<<<
|
|
* continue
|
|
* f = EXP_TABLE[<int>((f + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
|
|
*/
|
|
}
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":214
|
|
* if f <= -MAX_EXP or f >= MAX_EXP:
|
|
* continue
|
|
* f = EXP_TABLE[<int>((f + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))] # <<<<<<<<<<<<<<
|
|
* g = (label - f) * alpha
|
|
* our_saxpy(&layer1_size, &g, &syn1neg[row2], &ONE, work, &ONE)
|
|
*/
|
|
__pyx_v_f = (__pyx_v_6gensim_6models_14word2vec_inner_EXP_TABLE[((int)((__pyx_v_f + 6.0) * 83.0))]);
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":215
|
|
* continue
|
|
* f = EXP_TABLE[<int>((f + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
|
|
* g = (label - f) * alpha # <<<<<<<<<<<<<<
|
|
* our_saxpy(&layer1_size, &g, &syn1neg[row2], &ONE, work, &ONE)
|
|
* if learn_hidden:
|
|
*/
|
|
__pyx_v_g = ((__pyx_v_label - __pyx_v_f) * __pyx_v_alpha);
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":216
|
|
* f = EXP_TABLE[<int>((f + MAX_EXP) * (EXP_TABLE_SIZE / MAX_EXP / 2))]
|
|
* g = (label - f) * alpha
|
|
* our_saxpy(&layer1_size, &g, &syn1neg[row2], &ONE, work, &ONE) # <<<<<<<<<<<<<<
|
|
* if learn_hidden:
|
|
* our_saxpy(&layer1_size, &g, neu1, &ONE, &syn1neg[row2], &ONE)
|
|
*/
|
|
__pyx_v_6gensim_6models_14word2vec_inner_our_saxpy((&__pyx_v_layer1_size), (&__pyx_v_g), (&(__pyx_v_syn1neg[__pyx_v_row2])), (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE), __pyx_v_work, (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE));
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":217
|
|
* g = (label - f) * alpha
|
|
* our_saxpy(&layer1_size, &g, &syn1neg[row2], &ONE, work, &ONE)
|
|
* if learn_hidden: # <<<<<<<<<<<<<<
|
|
* our_saxpy(&layer1_size, &g, neu1, &ONE, &syn1neg[row2], &ONE)
|
|
*
|
|
*/
|
|
__pyx_t_4 = (__pyx_v_learn_hidden != 0);
|
|
if (__pyx_t_4) {
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":218
|
|
* our_saxpy(&layer1_size, &g, &syn1neg[row2], &ONE, work, &ONE)
|
|
* if learn_hidden:
|
|
* our_saxpy(&layer1_size, &g, neu1, &ONE, &syn1neg[row2], &ONE) # <<<<<<<<<<<<<<
|
|
*
|
|
* return next_random
|
|
*/
|
|
__pyx_v_6gensim_6models_14word2vec_inner_our_saxpy((&__pyx_v_layer1_size), (&__pyx_v_g), __pyx_v_neu1, (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE), (&(__pyx_v_syn1neg[__pyx_v_row2])), (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE));
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":217
|
|
* g = (label - f) * alpha
|
|
* our_saxpy(&layer1_size, &g, &syn1neg[row2], &ONE, work, &ONE)
|
|
* if learn_hidden: # <<<<<<<<<<<<<<
|
|
* our_saxpy(&layer1_size, &g, neu1, &ONE, &syn1neg[row2], &ONE)
|
|
*
|
|
*/
|
|
}
|
|
__pyx_L3_continue:;
|
|
}
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":220
|
|
* our_saxpy(&layer1_size, &g, neu1, &ONE, &syn1neg[row2], &ONE)
|
|
*
|
|
* return next_random # <<<<<<<<<<<<<<
|
|
*
|
|
*
|
|
*/
|
|
__pyx_r = __pyx_v_next_random;
|
|
goto __pyx_L0;
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":185
|
|
*
|
|
*
|
|
* cdef unsigned long long fast_document_dmc_neg( # <<<<<<<<<<<<<<
|
|
* const int negative, np.uint32_t *cum_table, unsigned long long cum_table_len, unsigned long long next_random,
|
|
* REAL_t *neu1, REAL_t *syn1neg, const int predict_word_index, const REAL_t alpha, REAL_t *work,
|
|
*/
|
|
|
|
/* function exit code */
|
|
__pyx_L0:;
|
|
return __pyx_r;
|
|
}
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":223
|
|
*
|
|
*
|
|
* def train_document_dbow(model, doc_words, doctag_indexes, alpha, work=None, # <<<<<<<<<<<<<<
|
|
* train_words=False, learn_doctags=True, learn_words=True, learn_hidden=True,
|
|
* word_vectors=None, word_locks=None, doctag_vectors=None, doctag_locks=None):
|
|
*/
|
|
|
|
/* Python wrapper */
|
|
static PyObject *__pyx_pw_6gensim_6models_13doc2vec_inner_1train_document_dbow(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/
|
|
static char __pyx_doc_6gensim_6models_13doc2vec_inner_train_document_dbow[] = "train_document_dbow(model, doc_words, doctag_indexes, alpha, work=None, train_words=False, learn_doctags=True, learn_words=True, learn_hidden=True, word_vectors=None, word_locks=None, doctag_vectors=None, doctag_locks=None)\nUpdate distributed bag of words model (\"PV-DBOW\") by training on a single document.\n\n Called internally from :meth:`~gensim.models.doc2vec.Doc2Vec.train` and\n :meth:`~gensim.models.doc2vec.Doc2Vec.infer_vector`.\n\n Parameters\n ----------\n model : :class:`~gensim.models.doc2vec.Doc2Vec`\n The model to train.\n doc_words : list of str\n The input document as a list of words to be used for training. Each word will be looked up in\n the model's vocabulary.\n doctag_indexes : list of int\n Indices into `doctag_vectors` used to obtain the tags of the document.\n alpha : float\n Learning rate.\n work : list of float, optional\n Updates to be performed on each neuron in the hidden layer of the underlying network.\n train_words : bool, optional\n Word vectors will be updated exactly as per Word2Vec skip-gram training only if **both** `learn_words`\n and `train_words` are set to True.\n learn_doctags : bool, optional\n Whether the tag vectors should be updated.\n learn_words : bool, optional\n Word vectors will be updated exactly as per Word2Vec skip-gram training only if **both**\n `learn_words` and `train_words` are set to True.\n learn_hidden : bool, optional\n Whether or not the weights of the hidden layer will be updated.\n word_vectors : numpy.ndarray, optional\n The vector representation for each word in the vocabulary. If None, these will be retrieved from the model.\n word_locks : numpy.ndarray, optional\n A learning lock factor for each weight in the hidden layer for words, value 0 completely blocks updates,\n a value of 1 allows to update word-vectors.\n doctag_vectors : numpy.ndarray, ""optional\n Vector representations of the tags. If None, these will be retrieved from the model.\n doctag_locks : numpy.ndarray, optional\n The lock factors for each tag, same as `word_locks`, but for document-vectors.\n\n Returns\n -------\n int\n Number of words in the input document that were actually used for training.\n\n ";
|
|
static PyMethodDef __pyx_mdef_6gensim_6models_13doc2vec_inner_1train_document_dbow = {"train_document_dbow", (PyCFunction)__pyx_pw_6gensim_6models_13doc2vec_inner_1train_document_dbow, METH_VARARGS|METH_KEYWORDS, __pyx_doc_6gensim_6models_13doc2vec_inner_train_document_dbow};
|
|
static PyObject *__pyx_pw_6gensim_6models_13doc2vec_inner_1train_document_dbow(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds) {
|
|
PyObject *__pyx_v_model = 0;
|
|
PyObject *__pyx_v_doc_words = 0;
|
|
PyObject *__pyx_v_doctag_indexes = 0;
|
|
PyObject *__pyx_v_alpha = 0;
|
|
PyObject *__pyx_v_work = 0;
|
|
PyObject *__pyx_v_train_words = 0;
|
|
PyObject *__pyx_v_learn_doctags = 0;
|
|
PyObject *__pyx_v_learn_words = 0;
|
|
PyObject *__pyx_v_learn_hidden = 0;
|
|
PyObject *__pyx_v_word_vectors = 0;
|
|
PyObject *__pyx_v_word_locks = 0;
|
|
PyObject *__pyx_v_doctag_vectors = 0;
|
|
PyObject *__pyx_v_doctag_locks = 0;
|
|
PyObject *__pyx_r = 0;
|
|
__Pyx_RefNannyDeclarations
|
|
__Pyx_RefNannySetupContext("train_document_dbow (wrapper)", 0);
|
|
{
|
|
static PyObject **__pyx_pyargnames[] = {&__pyx_n_s_model,&__pyx_n_s_doc_words,&__pyx_n_s_doctag_indexes,&__pyx_n_s_alpha,&__pyx_n_s_work,&__pyx_n_s_train_words,&__pyx_n_s_learn_doctags,&__pyx_n_s_learn_words,&__pyx_n_s_learn_hidden,&__pyx_n_s_word_vectors,&__pyx_n_s_word_locks,&__pyx_n_s_doctag_vectors,&__pyx_n_s_doctag_locks,0};
|
|
PyObject* values[13] = {0,0,0,0,0,0,0,0,0,0,0,0,0};
|
|
values[4] = ((PyObject *)Py_None);
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":224
|
|
*
|
|
* def train_document_dbow(model, doc_words, doctag_indexes, alpha, work=None,
|
|
* train_words=False, learn_doctags=True, learn_words=True, learn_hidden=True, # <<<<<<<<<<<<<<
|
|
* word_vectors=None, word_locks=None, doctag_vectors=None, doctag_locks=None):
|
|
* """Update distributed bag of words model ("PV-DBOW") by training on a single document.
|
|
*/
|
|
values[5] = ((PyObject *)Py_False);
|
|
values[6] = ((PyObject *)Py_True);
|
|
values[7] = ((PyObject *)Py_True);
|
|
values[8] = ((PyObject *)Py_True);
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":225
|
|
* def train_document_dbow(model, doc_words, doctag_indexes, alpha, work=None,
|
|
* train_words=False, learn_doctags=True, learn_words=True, learn_hidden=True,
|
|
* word_vectors=None, word_locks=None, doctag_vectors=None, doctag_locks=None): # <<<<<<<<<<<<<<
|
|
* """Update distributed bag of words model ("PV-DBOW") by training on a single document.
|
|
*
|
|
*/
|
|
values[9] = ((PyObject *)Py_None);
|
|
values[10] = ((PyObject *)Py_None);
|
|
values[11] = ((PyObject *)Py_None);
|
|
values[12] = ((PyObject *)Py_None);
|
|
if (unlikely(__pyx_kwds)) {
|
|
Py_ssize_t kw_args;
|
|
const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args);
|
|
switch (pos_args) {
|
|
case 13: values[12] = PyTuple_GET_ITEM(__pyx_args, 12);
|
|
CYTHON_FALLTHROUGH;
|
|
case 12: values[11] = PyTuple_GET_ITEM(__pyx_args, 11);
|
|
CYTHON_FALLTHROUGH;
|
|
case 11: values[10] = PyTuple_GET_ITEM(__pyx_args, 10);
|
|
CYTHON_FALLTHROUGH;
|
|
case 10: values[9] = PyTuple_GET_ITEM(__pyx_args, 9);
|
|
CYTHON_FALLTHROUGH;
|
|
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* # convert Python structures to primitive types, so we can release the GIL
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* # convert Python structures to primitive types, so we can release the GIL
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/* "gensim/models/doc2vec_inner.pyx":342
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|
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|
/* "gensim/models/doc2vec_inner.pyx":343
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* predict_word = vlookup[token] if token in vlookup else None
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/* "gensim/models/doc2vec_inner.pyx":342
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/* "gensim/models/doc2vec_inner.pyx":344
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* if predict_word is None: # shrink document to leave out word
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|
/* "gensim/models/doc2vec_inner.pyx":363
|
|
*
|
|
* doctag_len = <int>min(MAX_DOCUMENT_LEN, len(doctag_indexes))
|
|
* for i in range(doctag_len): # <<<<<<<<<<<<<<
|
|
* _doctag_indexes[i] = doctag_indexes[i]
|
|
* result += 1
|
|
*/
|
|
__pyx_t_2 = __pyx_v_doctag_len;
|
|
__pyx_t_15 = __pyx_t_2;
|
|
for (__pyx_t_18 = 0; __pyx_t_18 < __pyx_t_15; __pyx_t_18+=1) {
|
|
__pyx_v_i = __pyx_t_18;
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":364
|
|
* doctag_len = <int>min(MAX_DOCUMENT_LEN, len(doctag_indexes))
|
|
* for i in range(doctag_len):
|
|
* _doctag_indexes[i] = doctag_indexes[i] # <<<<<<<<<<<<<<
|
|
* result += 1
|
|
*
|
|
*/
|
|
__pyx_t_3 = __Pyx_GetItemInt(__pyx_v_doctag_indexes, __pyx_v_i, int, 1, __Pyx_PyInt_From_int, 0, 0, 0); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 364, __pyx_L1_error)
|
|
__Pyx_GOTREF(__pyx_t_3);
|
|
__pyx_t_12 = __Pyx_PyInt_As_npy_uint32(__pyx_t_3); if (unlikely((__pyx_t_12 == ((npy_uint32)-1)) && PyErr_Occurred())) __PYX_ERR(0, 364, __pyx_L1_error)
|
|
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
|
|
(__pyx_v__doctag_indexes[__pyx_v_i]) = __pyx_t_12;
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":365
|
|
* for i in range(doctag_len):
|
|
* _doctag_indexes[i] = doctag_indexes[i]
|
|
* result += 1 # <<<<<<<<<<<<<<
|
|
*
|
|
* # release GIL & train on the document
|
|
*/
|
|
__pyx_v_result = (__pyx_v_result + 1);
|
|
}
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":368
|
|
*
|
|
* # release GIL & train on the document
|
|
* with nogil: # <<<<<<<<<<<<<<
|
|
* for i in range(document_len):
|
|
* if _train_words: # simultaneous skip-gram wordvec-training
|
|
*/
|
|
{
|
|
#ifdef WITH_THREAD
|
|
PyThreadState *_save;
|
|
Py_UNBLOCK_THREADS
|
|
__Pyx_FastGIL_Remember();
|
|
#endif
|
|
/*try:*/ {
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":369
|
|
* # release GIL & train on the document
|
|
* with nogil:
|
|
* for i in range(document_len): # <<<<<<<<<<<<<<
|
|
* if _train_words: # simultaneous skip-gram wordvec-training
|
|
* j = i - window + reduced_windows[i]
|
|
*/
|
|
__pyx_t_2 = __pyx_v_document_len;
|
|
__pyx_t_15 = __pyx_t_2;
|
|
for (__pyx_t_18 = 0; __pyx_t_18 < __pyx_t_15; __pyx_t_18+=1) {
|
|
__pyx_v_i = __pyx_t_18;
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":370
|
|
* with nogil:
|
|
* for i in range(document_len):
|
|
* if _train_words: # simultaneous skip-gram wordvec-training # <<<<<<<<<<<<<<
|
|
* j = i - window + reduced_windows[i]
|
|
* if j < 0:
|
|
*/
|
|
__pyx_t_5 = (__pyx_v__train_words != 0);
|
|
if (__pyx_t_5) {
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":371
|
|
* for i in range(document_len):
|
|
* if _train_words: # simultaneous skip-gram wordvec-training
|
|
* j = i - window + reduced_windows[i] # <<<<<<<<<<<<<<
|
|
* if j < 0:
|
|
* j = 0
|
|
*/
|
|
__pyx_v_j = ((__pyx_v_i - __pyx_v_window) + (__pyx_v_reduced_windows[__pyx_v_i]));
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":372
|
|
* if _train_words: # simultaneous skip-gram wordvec-training
|
|
* j = i - window + reduced_windows[i]
|
|
* if j < 0: # <<<<<<<<<<<<<<
|
|
* j = 0
|
|
* k = i + window + 1 - reduced_windows[i]
|
|
*/
|
|
__pyx_t_5 = ((__pyx_v_j < 0) != 0);
|
|
if (__pyx_t_5) {
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":373
|
|
* j = i - window + reduced_windows[i]
|
|
* if j < 0:
|
|
* j = 0 # <<<<<<<<<<<<<<
|
|
* k = i + window + 1 - reduced_windows[i]
|
|
* if k > document_len:
|
|
*/
|
|
__pyx_v_j = 0;
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":372
|
|
* if _train_words: # simultaneous skip-gram wordvec-training
|
|
* j = i - window + reduced_windows[i]
|
|
* if j < 0: # <<<<<<<<<<<<<<
|
|
* j = 0
|
|
* k = i + window + 1 - reduced_windows[i]
|
|
*/
|
|
}
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":374
|
|
* if j < 0:
|
|
* j = 0
|
|
* k = i + window + 1 - reduced_windows[i] # <<<<<<<<<<<<<<
|
|
* if k > document_len:
|
|
* k = document_len
|
|
*/
|
|
__pyx_v_k = (((__pyx_v_i + __pyx_v_window) + 1) - (__pyx_v_reduced_windows[__pyx_v_i]));
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":375
|
|
* j = 0
|
|
* k = i + window + 1 - reduced_windows[i]
|
|
* if k > document_len: # <<<<<<<<<<<<<<
|
|
* k = document_len
|
|
* for j in range(j, k):
|
|
*/
|
|
__pyx_t_5 = ((__pyx_v_k > __pyx_v_document_len) != 0);
|
|
if (__pyx_t_5) {
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":376
|
|
* k = i + window + 1 - reduced_windows[i]
|
|
* if k > document_len:
|
|
* k = document_len # <<<<<<<<<<<<<<
|
|
* for j in range(j, k):
|
|
* if j == i:
|
|
*/
|
|
__pyx_v_k = __pyx_v_document_len;
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":375
|
|
* j = 0
|
|
* k = i + window + 1 - reduced_windows[i]
|
|
* if k > document_len: # <<<<<<<<<<<<<<
|
|
* k = document_len
|
|
* for j in range(j, k):
|
|
*/
|
|
}
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":377
|
|
* if k > document_len:
|
|
* k = document_len
|
|
* for j in range(j, k): # <<<<<<<<<<<<<<
|
|
* if j == i:
|
|
* continue
|
|
*/
|
|
__pyx_t_17 = __pyx_v_k;
|
|
__pyx_t_19 = __pyx_t_17;
|
|
for (__pyx_t_20 = __pyx_v_j; __pyx_t_20 < __pyx_t_19; __pyx_t_20+=1) {
|
|
__pyx_v_j = __pyx_t_20;
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":378
|
|
* k = document_len
|
|
* for j in range(j, k):
|
|
* if j == i: # <<<<<<<<<<<<<<
|
|
* continue
|
|
* if hs:
|
|
*/
|
|
__pyx_t_5 = ((__pyx_v_j == __pyx_v_i) != 0);
|
|
if (__pyx_t_5) {
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":379
|
|
* for j in range(j, k):
|
|
* if j == i:
|
|
* continue # <<<<<<<<<<<<<<
|
|
* if hs:
|
|
* # we reuse the DBOW function, as it is equivalent to skip-gram for this purpose
|
|
*/
|
|
goto __pyx_L34_continue;
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":378
|
|
* k = document_len
|
|
* for j in range(j, k):
|
|
* if j == i: # <<<<<<<<<<<<<<
|
|
* continue
|
|
* if hs:
|
|
*/
|
|
}
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":380
|
|
* if j == i:
|
|
* continue
|
|
* if hs: # <<<<<<<<<<<<<<
|
|
* # we reuse the DBOW function, as it is equivalent to skip-gram for this purpose
|
|
* fast_document_dbow_hs(points[i], codes[i], codelens[i], _word_vectors, syn1, size, indexes[j],
|
|
*/
|
|
__pyx_t_5 = (__pyx_v_hs != 0);
|
|
if (__pyx_t_5) {
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":382
|
|
* if hs:
|
|
* # we reuse the DBOW function, as it is equivalent to skip-gram for this purpose
|
|
* fast_document_dbow_hs(points[i], codes[i], codelens[i], _word_vectors, syn1, size, indexes[j], # <<<<<<<<<<<<<<
|
|
* _alpha, _work, _learn_words, _learn_hidden, _word_locks)
|
|
* if negative:
|
|
*/
|
|
__pyx_f_6gensim_6models_13doc2vec_inner_fast_document_dbow_hs((__pyx_v_points[__pyx_v_i]), (__pyx_v_codes[__pyx_v_i]), (__pyx_v_codelens[__pyx_v_i]), __pyx_v__word_vectors, __pyx_v_syn1, __pyx_v_size, (__pyx_v_indexes[__pyx_v_j]), __pyx_v__alpha, __pyx_v__work, __pyx_v__learn_words, __pyx_v__learn_hidden, __pyx_v__word_locks);
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":380
|
|
* if j == i:
|
|
* continue
|
|
* if hs: # <<<<<<<<<<<<<<
|
|
* # we reuse the DBOW function, as it is equivalent to skip-gram for this purpose
|
|
* fast_document_dbow_hs(points[i], codes[i], codelens[i], _word_vectors, syn1, size, indexes[j],
|
|
*/
|
|
}
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":384
|
|
* fast_document_dbow_hs(points[i], codes[i], codelens[i], _word_vectors, syn1, size, indexes[j],
|
|
* _alpha, _work, _learn_words, _learn_hidden, _word_locks)
|
|
* if negative: # <<<<<<<<<<<<<<
|
|
* # we reuse the DBOW function, as it is equivalent to skip-gram for this purpose
|
|
* next_random = fast_document_dbow_neg(negative, cum_table, cum_table_len, _word_vectors, syn1neg, size,
|
|
*/
|
|
__pyx_t_5 = (__pyx_v_negative != 0);
|
|
if (__pyx_t_5) {
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":386
|
|
* if negative:
|
|
* # we reuse the DBOW function, as it is equivalent to skip-gram for this purpose
|
|
* next_random = fast_document_dbow_neg(negative, cum_table, cum_table_len, _word_vectors, syn1neg, size, # <<<<<<<<<<<<<<
|
|
* indexes[i], indexes[j], _alpha, _work, next_random,
|
|
* _learn_words, _learn_hidden, _word_locks)
|
|
*/
|
|
__pyx_v_next_random = __pyx_f_6gensim_6models_13doc2vec_inner_fast_document_dbow_neg(__pyx_v_negative, __pyx_v_cum_table, __pyx_v_cum_table_len, __pyx_v__word_vectors, __pyx_v_syn1neg, __pyx_v_size, (__pyx_v_indexes[__pyx_v_i]), (__pyx_v_indexes[__pyx_v_j]), __pyx_v__alpha, __pyx_v__work, __pyx_v_next_random, __pyx_v__learn_words, __pyx_v__learn_hidden, __pyx_v__word_locks);
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":384
|
|
* fast_document_dbow_hs(points[i], codes[i], codelens[i], _word_vectors, syn1, size, indexes[j],
|
|
* _alpha, _work, _learn_words, _learn_hidden, _word_locks)
|
|
* if negative: # <<<<<<<<<<<<<<
|
|
* # we reuse the DBOW function, as it is equivalent to skip-gram for this purpose
|
|
* next_random = fast_document_dbow_neg(negative, cum_table, cum_table_len, _word_vectors, syn1neg, size,
|
|
*/
|
|
}
|
|
__pyx_L34_continue:;
|
|
}
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":370
|
|
* with nogil:
|
|
* for i in range(document_len):
|
|
* if _train_words: # simultaneous skip-gram wordvec-training # <<<<<<<<<<<<<<
|
|
* j = i - window + reduced_windows[i]
|
|
* if j < 0:
|
|
*/
|
|
}
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":391
|
|
*
|
|
* # docvec-training
|
|
* for j in range(doctag_len): # <<<<<<<<<<<<<<
|
|
* if hs:
|
|
* fast_document_dbow_hs(points[i], codes[i], codelens[i], _doctag_vectors, syn1, size, _doctag_indexes[j],
|
|
*/
|
|
__pyx_t_20 = __pyx_v_doctag_len;
|
|
__pyx_t_21 = __pyx_t_20;
|
|
for (__pyx_t_22 = 0; __pyx_t_22 < __pyx_t_21; __pyx_t_22+=1) {
|
|
__pyx_v_j = __pyx_t_22;
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":392
|
|
* # docvec-training
|
|
* for j in range(doctag_len):
|
|
* if hs: # <<<<<<<<<<<<<<
|
|
* fast_document_dbow_hs(points[i], codes[i], codelens[i], _doctag_vectors, syn1, size, _doctag_indexes[j],
|
|
* _alpha, _work, _learn_doctags, _learn_hidden, _doctag_locks)
|
|
*/
|
|
__pyx_t_5 = (__pyx_v_hs != 0);
|
|
if (__pyx_t_5) {
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":393
|
|
* for j in range(doctag_len):
|
|
* if hs:
|
|
* fast_document_dbow_hs(points[i], codes[i], codelens[i], _doctag_vectors, syn1, size, _doctag_indexes[j], # <<<<<<<<<<<<<<
|
|
* _alpha, _work, _learn_doctags, _learn_hidden, _doctag_locks)
|
|
* if negative:
|
|
*/
|
|
__pyx_f_6gensim_6models_13doc2vec_inner_fast_document_dbow_hs((__pyx_v_points[__pyx_v_i]), (__pyx_v_codes[__pyx_v_i]), (__pyx_v_codelens[__pyx_v_i]), __pyx_v__doctag_vectors, __pyx_v_syn1, __pyx_v_size, (__pyx_v__doctag_indexes[__pyx_v_j]), __pyx_v__alpha, __pyx_v__work, __pyx_v__learn_doctags, __pyx_v__learn_hidden, __pyx_v__doctag_locks);
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":392
|
|
* # docvec-training
|
|
* for j in range(doctag_len):
|
|
* if hs: # <<<<<<<<<<<<<<
|
|
* fast_document_dbow_hs(points[i], codes[i], codelens[i], _doctag_vectors, syn1, size, _doctag_indexes[j],
|
|
* _alpha, _work, _learn_doctags, _learn_hidden, _doctag_locks)
|
|
*/
|
|
}
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":395
|
|
* fast_document_dbow_hs(points[i], codes[i], codelens[i], _doctag_vectors, syn1, size, _doctag_indexes[j],
|
|
* _alpha, _work, _learn_doctags, _learn_hidden, _doctag_locks)
|
|
* if negative: # <<<<<<<<<<<<<<
|
|
* next_random = fast_document_dbow_neg(negative, cum_table, cum_table_len, _doctag_vectors, syn1neg, size,
|
|
* indexes[i], _doctag_indexes[j], _alpha, _work, next_random,
|
|
*/
|
|
__pyx_t_5 = (__pyx_v_negative != 0);
|
|
if (__pyx_t_5) {
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":396
|
|
* _alpha, _work, _learn_doctags, _learn_hidden, _doctag_locks)
|
|
* if negative:
|
|
* next_random = fast_document_dbow_neg(negative, cum_table, cum_table_len, _doctag_vectors, syn1neg, size, # <<<<<<<<<<<<<<
|
|
* indexes[i], _doctag_indexes[j], _alpha, _work, next_random,
|
|
* _learn_doctags, _learn_hidden, _doctag_locks)
|
|
*/
|
|
__pyx_v_next_random = __pyx_f_6gensim_6models_13doc2vec_inner_fast_document_dbow_neg(__pyx_v_negative, __pyx_v_cum_table, __pyx_v_cum_table_len, __pyx_v__doctag_vectors, __pyx_v_syn1neg, __pyx_v_size, (__pyx_v_indexes[__pyx_v_i]), (__pyx_v__doctag_indexes[__pyx_v_j]), __pyx_v__alpha, __pyx_v__work, __pyx_v_next_random, __pyx_v__learn_doctags, __pyx_v__learn_hidden, __pyx_v__doctag_locks);
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":395
|
|
* fast_document_dbow_hs(points[i], codes[i], codelens[i], _doctag_vectors, syn1, size, _doctag_indexes[j],
|
|
* _alpha, _work, _learn_doctags, _learn_hidden, _doctag_locks)
|
|
* if negative: # <<<<<<<<<<<<<<
|
|
* next_random = fast_document_dbow_neg(negative, cum_table, cum_table_len, _doctag_vectors, syn1neg, size,
|
|
* indexes[i], _doctag_indexes[j], _alpha, _work, next_random,
|
|
*/
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":368
|
|
*
|
|
* # release GIL & train on the document
|
|
* with nogil: # <<<<<<<<<<<<<<
|
|
* for i in range(document_len):
|
|
* if _train_words: # simultaneous skip-gram wordvec-training
|
|
*/
|
|
/*finally:*/ {
|
|
/*normal exit:*/{
|
|
#ifdef WITH_THREAD
|
|
__Pyx_FastGIL_Forget();
|
|
Py_BLOCK_THREADS
|
|
#endif
|
|
goto __pyx_L28;
|
|
}
|
|
__pyx_L28:;
|
|
}
|
|
}
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":400
|
|
* _learn_doctags, _learn_hidden, _doctag_locks)
|
|
*
|
|
* return result # <<<<<<<<<<<<<<
|
|
*
|
|
*
|
|
*/
|
|
__Pyx_XDECREF(__pyx_r);
|
|
__pyx_t_3 = __Pyx_PyInt_From_long(__pyx_v_result); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 400, __pyx_L1_error)
|
|
__Pyx_GOTREF(__pyx_t_3);
|
|
__pyx_r = __pyx_t_3;
|
|
__pyx_t_3 = 0;
|
|
goto __pyx_L0;
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":223
|
|
*
|
|
*
|
|
* def train_document_dbow(model, doc_words, doctag_indexes, alpha, work=None, # <<<<<<<<<<<<<<
|
|
* train_words=False, learn_doctags=True, learn_words=True, learn_hidden=True,
|
|
* word_vectors=None, word_locks=None, doctag_vectors=None, doctag_locks=None):
|
|
*/
|
|
|
|
/* function exit code */
|
|
__pyx_L1_error:;
|
|
__Pyx_XDECREF(__pyx_t_1);
|
|
__Pyx_XDECREF(__pyx_t_3);
|
|
__Pyx_XDECREF(__pyx_t_8);
|
|
__Pyx_XDECREF(__pyx_t_10);
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/* "gensim/models/doc2vec_inner.pyx":403
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*
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*
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* def train_document_dm(model, doc_words, doctag_indexes, alpha, work=None, neu1=None, # <<<<<<<<<<<<<<
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* learn_doctags=True, learn_words=True, learn_hidden=True,
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* word_vectors=None, word_locks=None, doctag_vectors=None, doctag_locks=None):
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*/
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/* Python wrapper */
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static char __pyx_doc_6gensim_6models_13doc2vec_inner_2train_document_dm[] = "train_document_dm(model, doc_words, doctag_indexes, alpha, work=None, neu1=None, learn_doctags=True, learn_words=True, learn_hidden=True, word_vectors=None, word_locks=None, doctag_vectors=None, doctag_locks=None)\nUpdate distributed memory model (\"PV-DM\") by training on a single document.\n This method implements the DM model with a projection (input) layer that is either the sum or mean of the context\n vectors, depending on the model's `dm_mean` configuration field.\n\n Called internally from :meth:`~gensim.models.doc2vec.Doc2Vec.train` and\n :meth:`~gensim.models.doc2vec.Doc2Vec.infer_vector`.\n\n Parameters\n ----------\n model : :class:`~gensim.models.doc2vec.Doc2Vec`\n The model to train.\n doc_words : list of str\n The input document as a list of words to be used for training. Each word will be looked up in\n the model's vocabulary.\n doctag_indexes : list of int\n Indices into `doctag_vectors` used to obtain the tags of the document.\n alpha : float\n Learning rate.\n work : np.ndarray, optional\n Private working memory for each worker.\n neu1 : np.ndarray, optional\n Private working memory for each worker.\n learn_doctags : bool, optional\n Whether the tag vectors should be updated.\n learn_words : bool, optional\n Word vectors will be updated exactly as per Word2Vec skip-gram training only if **both**\n `learn_words` and `train_words` are set to True.\n learn_hidden : bool, optional\n Whether or not the weights of the hidden layer will be updated.\n word_vectors : numpy.ndarray, optional\n The vector representation for each word in the vocabulary. If None, these will be retrieved from the model.\n word_locks : numpy.ndarray, optional\n A learning lock factor for each weight in the hidden layer for words, value 0 completely blocks updates,\n a value of 1 allows to update word-vectors.\n doctag_vectors : n""umpy.ndarray, optional\n Vector representations of the tags. If None, these will be retrieved from the model.\n doctag_locks : numpy.ndarray, optional\n The lock factors for each tag, same as `word_locks`, but for document-vectors.\n\n Returns\n -------\n int\n Number of words in the input document that were actually used for training.\n\n ";
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/* "gensim/models/doc2vec_inner.pyx":404
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*
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* def train_document_dm(model, doc_words, doctag_indexes, alpha, work=None, neu1=None,
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* learn_doctags=True, learn_words=True, learn_hidden=True, # <<<<<<<<<<<<<<
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/* "gensim/models/doc2vec_inner.pyx":405
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* learn_doctags=True, learn_words=True, learn_hidden=True,
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* word_vectors=None, word_locks=None, doctag_vectors=None, doctag_locks=None): # <<<<<<<<<<<<<<
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* """Update distributed memory model ("PV-DM") by training on a single document.
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/* "gensim/models/doc2vec_inner.pyx":403
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*
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*
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* def train_document_dm(model, doc_words, doctag_indexes, alpha, work=None, neu1=None, # <<<<<<<<<<<<<<
|
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* word_vectors=None, word_locks=None, doctag_vectors=None, doctag_locks=None):
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int __pyx_v_hs;
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int __pyx_v_negative;
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int __pyx_v__learn_doctags;
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int __pyx_v__learn_words;
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int __pyx_v__learn_hidden;
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int __pyx_v_cbow_mean;
|
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* # convert Python structures to primitive types, so we can release the GIL
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/* "gensim/models/doc2vec_inner.pyx":528
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/* "gensim/models/doc2vec_inner.pyx":530
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* # single randint() call avoids a big thread-sync slowdown
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/* "gensim/models/doc2vec_inner.pyx":559
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|
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|
|
*
|
|
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|
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|
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*/
|
|
(void)(memset(__pyx_v__neu1, 0, (__pyx_v_size * (sizeof(__pyx_t_6gensim_6models_14word2vec_inner_REAL_t)))));
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":564
|
|
* # compose l1 (in _neu1) & clear _work
|
|
* memset(_neu1, 0, size * cython.sizeof(REAL_t))
|
|
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|
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|
__pyx_v_count = ((__pyx_t_6gensim_6models_14word2vec_inner_REAL_t)0.0);
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/* "gensim/models/doc2vec_inner.pyx":565
|
|
* memset(_neu1, 0, size * cython.sizeof(REAL_t))
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* count = <REAL_t>0.0
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|
* if m == i:
|
|
* continue
|
|
*/
|
|
__pyx_t_19 = __pyx_v_k;
|
|
__pyx_t_20 = __pyx_t_19;
|
|
for (__pyx_t_21 = __pyx_v_j; __pyx_t_21 < __pyx_t_20; __pyx_t_21+=1) {
|
|
__pyx_v_m = __pyx_t_21;
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":566
|
|
* count = <REAL_t>0.0
|
|
* for m in range(j, k):
|
|
* if m == i: # <<<<<<<<<<<<<<
|
|
* continue
|
|
* else:
|
|
*/
|
|
__pyx_t_6 = ((__pyx_v_m == __pyx_v_i) != 0);
|
|
if (__pyx_t_6) {
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":567
|
|
* for m in range(j, k):
|
|
* if m == i:
|
|
* continue # <<<<<<<<<<<<<<
|
|
* else:
|
|
* count += ONEF
|
|
*/
|
|
goto __pyx_L33_continue;
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":566
|
|
* count = <REAL_t>0.0
|
|
* for m in range(j, k):
|
|
* if m == i: # <<<<<<<<<<<<<<
|
|
* continue
|
|
* else:
|
|
*/
|
|
}
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":569
|
|
* continue
|
|
* else:
|
|
* count += ONEF # <<<<<<<<<<<<<<
|
|
* our_saxpy(&size, &ONEF, &_word_vectors[indexes[m] * size], &ONE, _neu1, &ONE)
|
|
* for m in range(doctag_len):
|
|
*/
|
|
/*else*/ {
|
|
__pyx_v_count = (__pyx_v_count + __pyx_v_6gensim_6models_13doc2vec_inner_ONEF);
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":570
|
|
* else:
|
|
* count += ONEF
|
|
* our_saxpy(&size, &ONEF, &_word_vectors[indexes[m] * size], &ONE, _neu1, &ONE) # <<<<<<<<<<<<<<
|
|
* for m in range(doctag_len):
|
|
* count += ONEF
|
|
*/
|
|
__pyx_v_6gensim_6models_14word2vec_inner_our_saxpy((&__pyx_v_size), (&__pyx_v_6gensim_6models_13doc2vec_inner_ONEF), (&(__pyx_v__word_vectors[((__pyx_v_indexes[__pyx_v_m]) * __pyx_v_size)])), (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE), __pyx_v__neu1, (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE));
|
|
}
|
|
__pyx_L33_continue:;
|
|
}
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":571
|
|
* count += ONEF
|
|
* our_saxpy(&size, &ONEF, &_word_vectors[indexes[m] * size], &ONE, _neu1, &ONE)
|
|
* for m in range(doctag_len): # <<<<<<<<<<<<<<
|
|
* count += ONEF
|
|
* our_saxpy(&size, &ONEF, &_doctag_vectors[_doctag_indexes[m] * size], &ONE, _neu1, &ONE)
|
|
*/
|
|
__pyx_t_19 = __pyx_v_doctag_len;
|
|
__pyx_t_20 = __pyx_t_19;
|
|
for (__pyx_t_21 = 0; __pyx_t_21 < __pyx_t_20; __pyx_t_21+=1) {
|
|
__pyx_v_m = __pyx_t_21;
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":572
|
|
* our_saxpy(&size, &ONEF, &_word_vectors[indexes[m] * size], &ONE, _neu1, &ONE)
|
|
* for m in range(doctag_len):
|
|
* count += ONEF # <<<<<<<<<<<<<<
|
|
* our_saxpy(&size, &ONEF, &_doctag_vectors[_doctag_indexes[m] * size], &ONE, _neu1, &ONE)
|
|
* if count > (<REAL_t>0.5):
|
|
*/
|
|
__pyx_v_count = (__pyx_v_count + __pyx_v_6gensim_6models_13doc2vec_inner_ONEF);
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":573
|
|
* for m in range(doctag_len):
|
|
* count += ONEF
|
|
* our_saxpy(&size, &ONEF, &_doctag_vectors[_doctag_indexes[m] * size], &ONE, _neu1, &ONE) # <<<<<<<<<<<<<<
|
|
* if count > (<REAL_t>0.5):
|
|
* inv_count = ONEF/count
|
|
*/
|
|
__pyx_v_6gensim_6models_14word2vec_inner_our_saxpy((&__pyx_v_size), (&__pyx_v_6gensim_6models_13doc2vec_inner_ONEF), (&(__pyx_v__doctag_vectors[((__pyx_v__doctag_indexes[__pyx_v_m]) * __pyx_v_size)])), (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE), __pyx_v__neu1, (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE));
|
|
}
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":574
|
|
* count += ONEF
|
|
* our_saxpy(&size, &ONEF, &_doctag_vectors[_doctag_indexes[m] * size], &ONE, _neu1, &ONE)
|
|
* if count > (<REAL_t>0.5): # <<<<<<<<<<<<<<
|
|
* inv_count = ONEF/count
|
|
* if cbow_mean:
|
|
*/
|
|
__pyx_t_6 = ((__pyx_v_count > ((__pyx_t_6gensim_6models_14word2vec_inner_REAL_t)0.5)) != 0);
|
|
if (__pyx_t_6) {
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":575
|
|
* our_saxpy(&size, &ONEF, &_doctag_vectors[_doctag_indexes[m] * size], &ONE, _neu1, &ONE)
|
|
* if count > (<REAL_t>0.5):
|
|
* inv_count = ONEF/count # <<<<<<<<<<<<<<
|
|
* if cbow_mean:
|
|
* sscal(&size, &inv_count, _neu1, &ONE) # (does this need BLAS-variants like saxpy?)
|
|
*/
|
|
__pyx_v_inv_count = (__pyx_v_6gensim_6models_13doc2vec_inner_ONEF / __pyx_v_count);
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":574
|
|
* count += ONEF
|
|
* our_saxpy(&size, &ONEF, &_doctag_vectors[_doctag_indexes[m] * size], &ONE, _neu1, &ONE)
|
|
* if count > (<REAL_t>0.5): # <<<<<<<<<<<<<<
|
|
* inv_count = ONEF/count
|
|
* if cbow_mean:
|
|
*/
|
|
}
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":576
|
|
* if count > (<REAL_t>0.5):
|
|
* inv_count = ONEF/count
|
|
* if cbow_mean: # <<<<<<<<<<<<<<
|
|
* sscal(&size, &inv_count, _neu1, &ONE) # (does this need BLAS-variants like saxpy?)
|
|
* memset(_work, 0, size * cython.sizeof(REAL_t)) # work to accumulate l1 error
|
|
*/
|
|
__pyx_t_6 = (__pyx_v_cbow_mean != 0);
|
|
if (__pyx_t_6) {
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":577
|
|
* inv_count = ONEF/count
|
|
* if cbow_mean:
|
|
* sscal(&size, &inv_count, _neu1, &ONE) # (does this need BLAS-variants like saxpy?) # <<<<<<<<<<<<<<
|
|
* memset(_work, 0, size * cython.sizeof(REAL_t)) # work to accumulate l1 error
|
|
* if hs:
|
|
*/
|
|
__pyx_v_6gensim_6models_14word2vec_inner_sscal((&__pyx_v_size), (&__pyx_v_inv_count), __pyx_v__neu1, (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE));
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":576
|
|
* if count > (<REAL_t>0.5):
|
|
* inv_count = ONEF/count
|
|
* if cbow_mean: # <<<<<<<<<<<<<<
|
|
* sscal(&size, &inv_count, _neu1, &ONE) # (does this need BLAS-variants like saxpy?)
|
|
* memset(_work, 0, size * cython.sizeof(REAL_t)) # work to accumulate l1 error
|
|
*/
|
|
}
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":578
|
|
* if cbow_mean:
|
|
* sscal(&size, &inv_count, _neu1, &ONE) # (does this need BLAS-variants like saxpy?)
|
|
* memset(_work, 0, size * cython.sizeof(REAL_t)) # work to accumulate l1 error # <<<<<<<<<<<<<<
|
|
* if hs:
|
|
* fast_document_dm_hs(points[i], codes[i], codelens[i],
|
|
*/
|
|
(void)(memset(__pyx_v__work, 0, (__pyx_v_size * (sizeof(__pyx_t_6gensim_6models_14word2vec_inner_REAL_t)))));
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":579
|
|
* sscal(&size, &inv_count, _neu1, &ONE) # (does this need BLAS-variants like saxpy?)
|
|
* memset(_work, 0, size * cython.sizeof(REAL_t)) # work to accumulate l1 error
|
|
* if hs: # <<<<<<<<<<<<<<
|
|
* fast_document_dm_hs(points[i], codes[i], codelens[i],
|
|
* _neu1, syn1, _alpha, _work,
|
|
*/
|
|
__pyx_t_6 = (__pyx_v_hs != 0);
|
|
if (__pyx_t_6) {
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":580
|
|
* memset(_work, 0, size * cython.sizeof(REAL_t)) # work to accumulate l1 error
|
|
* if hs:
|
|
* fast_document_dm_hs(points[i], codes[i], codelens[i], # <<<<<<<<<<<<<<
|
|
* _neu1, syn1, _alpha, _work,
|
|
* size, _learn_hidden)
|
|
*/
|
|
__pyx_f_6gensim_6models_13doc2vec_inner_fast_document_dm_hs((__pyx_v_points[__pyx_v_i]), (__pyx_v_codes[__pyx_v_i]), (__pyx_v_codelens[__pyx_v_i]), __pyx_v__neu1, __pyx_v_syn1, __pyx_v__alpha, __pyx_v__work, __pyx_v_size, __pyx_v__learn_hidden);
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":579
|
|
* sscal(&size, &inv_count, _neu1, &ONE) # (does this need BLAS-variants like saxpy?)
|
|
* memset(_work, 0, size * cython.sizeof(REAL_t)) # work to accumulate l1 error
|
|
* if hs: # <<<<<<<<<<<<<<
|
|
* fast_document_dm_hs(points[i], codes[i], codelens[i],
|
|
* _neu1, syn1, _alpha, _work,
|
|
*/
|
|
}
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":583
|
|
* _neu1, syn1, _alpha, _work,
|
|
* size, _learn_hidden)
|
|
* if negative: # <<<<<<<<<<<<<<
|
|
* next_random = fast_document_dm_neg(negative, cum_table, cum_table_len, next_random,
|
|
* _neu1, syn1neg, indexes[i], _alpha, _work,
|
|
*/
|
|
__pyx_t_6 = (__pyx_v_negative != 0);
|
|
if (__pyx_t_6) {
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":584
|
|
* size, _learn_hidden)
|
|
* if negative:
|
|
* next_random = fast_document_dm_neg(negative, cum_table, cum_table_len, next_random, # <<<<<<<<<<<<<<
|
|
* _neu1, syn1neg, indexes[i], _alpha, _work,
|
|
* size, _learn_hidden)
|
|
*/
|
|
__pyx_v_next_random = __pyx_f_6gensim_6models_13doc2vec_inner_fast_document_dm_neg(__pyx_v_negative, __pyx_v_cum_table, __pyx_v_cum_table_len, __pyx_v_next_random, __pyx_v__neu1, __pyx_v_syn1neg, (__pyx_v_indexes[__pyx_v_i]), __pyx_v__alpha, __pyx_v__work, __pyx_v_size, __pyx_v__learn_hidden);
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":583
|
|
* _neu1, syn1, _alpha, _work,
|
|
* size, _learn_hidden)
|
|
* if negative: # <<<<<<<<<<<<<<
|
|
* next_random = fast_document_dm_neg(negative, cum_table, cum_table_len, next_random,
|
|
* _neu1, syn1neg, indexes[i], _alpha, _work,
|
|
*/
|
|
}
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":588
|
|
* size, _learn_hidden)
|
|
*
|
|
* if not cbow_mean: # <<<<<<<<<<<<<<
|
|
* sscal(&size, &inv_count, _work, &ONE) # (does this need BLAS-variants like saxpy?)
|
|
* # apply accumulated error in work
|
|
*/
|
|
__pyx_t_6 = ((!(__pyx_v_cbow_mean != 0)) != 0);
|
|
if (__pyx_t_6) {
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":589
|
|
*
|
|
* if not cbow_mean:
|
|
* sscal(&size, &inv_count, _work, &ONE) # (does this need BLAS-variants like saxpy?) # <<<<<<<<<<<<<<
|
|
* # apply accumulated error in work
|
|
* if _learn_doctags:
|
|
*/
|
|
__pyx_v_6gensim_6models_14word2vec_inner_sscal((&__pyx_v_size), (&__pyx_v_inv_count), __pyx_v__work, (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE));
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":588
|
|
* size, _learn_hidden)
|
|
*
|
|
* if not cbow_mean: # <<<<<<<<<<<<<<
|
|
* sscal(&size, &inv_count, _work, &ONE) # (does this need BLAS-variants like saxpy?)
|
|
* # apply accumulated error in work
|
|
*/
|
|
}
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":591
|
|
* sscal(&size, &inv_count, _work, &ONE) # (does this need BLAS-variants like saxpy?)
|
|
* # apply accumulated error in work
|
|
* if _learn_doctags: # <<<<<<<<<<<<<<
|
|
* for m in range(doctag_len):
|
|
* our_saxpy(&size, &_doctag_locks[_doctag_indexes[m]], _work,
|
|
*/
|
|
__pyx_t_6 = (__pyx_v__learn_doctags != 0);
|
|
if (__pyx_t_6) {
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":592
|
|
* # apply accumulated error in work
|
|
* if _learn_doctags:
|
|
* for m in range(doctag_len): # <<<<<<<<<<<<<<
|
|
* our_saxpy(&size, &_doctag_locks[_doctag_indexes[m]], _work,
|
|
* &ONE, &_doctag_vectors[_doctag_indexes[m] * size], &ONE)
|
|
*/
|
|
__pyx_t_19 = __pyx_v_doctag_len;
|
|
__pyx_t_20 = __pyx_t_19;
|
|
for (__pyx_t_21 = 0; __pyx_t_21 < __pyx_t_20; __pyx_t_21+=1) {
|
|
__pyx_v_m = __pyx_t_21;
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":593
|
|
* if _learn_doctags:
|
|
* for m in range(doctag_len):
|
|
* our_saxpy(&size, &_doctag_locks[_doctag_indexes[m]], _work, # <<<<<<<<<<<<<<
|
|
* &ONE, &_doctag_vectors[_doctag_indexes[m] * size], &ONE)
|
|
* if _learn_words:
|
|
*/
|
|
__pyx_v_6gensim_6models_14word2vec_inner_our_saxpy((&__pyx_v_size), (&(__pyx_v__doctag_locks[(__pyx_v__doctag_indexes[__pyx_v_m])])), __pyx_v__work, (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE), (&(__pyx_v__doctag_vectors[((__pyx_v__doctag_indexes[__pyx_v_m]) * __pyx_v_size)])), (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE));
|
|
}
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":591
|
|
* sscal(&size, &inv_count, _work, &ONE) # (does this need BLAS-variants like saxpy?)
|
|
* # apply accumulated error in work
|
|
* if _learn_doctags: # <<<<<<<<<<<<<<
|
|
* for m in range(doctag_len):
|
|
* our_saxpy(&size, &_doctag_locks[_doctag_indexes[m]], _work,
|
|
*/
|
|
}
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":595
|
|
* our_saxpy(&size, &_doctag_locks[_doctag_indexes[m]], _work,
|
|
* &ONE, &_doctag_vectors[_doctag_indexes[m] * size], &ONE)
|
|
* if _learn_words: # <<<<<<<<<<<<<<
|
|
* for m in range(j, k):
|
|
* if m == i:
|
|
*/
|
|
__pyx_t_6 = (__pyx_v__learn_words != 0);
|
|
if (__pyx_t_6) {
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":596
|
|
* &ONE, &_doctag_vectors[_doctag_indexes[m] * size], &ONE)
|
|
* if _learn_words:
|
|
* for m in range(j, k): # <<<<<<<<<<<<<<
|
|
* if m == i:
|
|
* continue
|
|
*/
|
|
__pyx_t_19 = __pyx_v_k;
|
|
__pyx_t_20 = __pyx_t_19;
|
|
for (__pyx_t_21 = __pyx_v_j; __pyx_t_21 < __pyx_t_20; __pyx_t_21+=1) {
|
|
__pyx_v_m = __pyx_t_21;
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":597
|
|
* if _learn_words:
|
|
* for m in range(j, k):
|
|
* if m == i: # <<<<<<<<<<<<<<
|
|
* continue
|
|
* else:
|
|
*/
|
|
__pyx_t_6 = ((__pyx_v_m == __pyx_v_i) != 0);
|
|
if (__pyx_t_6) {
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":598
|
|
* for m in range(j, k):
|
|
* if m == i:
|
|
* continue # <<<<<<<<<<<<<<
|
|
* else:
|
|
* our_saxpy(&size, &_word_locks[indexes[m]], _work, &ONE,
|
|
*/
|
|
goto __pyx_L47_continue;
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":597
|
|
* if _learn_words:
|
|
* for m in range(j, k):
|
|
* if m == i: # <<<<<<<<<<<<<<
|
|
* continue
|
|
* else:
|
|
*/
|
|
}
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":600
|
|
* continue
|
|
* else:
|
|
* our_saxpy(&size, &_word_locks[indexes[m]], _work, &ONE, # <<<<<<<<<<<<<<
|
|
* &_word_vectors[indexes[m] * size], &ONE)
|
|
*
|
|
*/
|
|
/*else*/ {
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":601
|
|
* else:
|
|
* our_saxpy(&size, &_word_locks[indexes[m]], _work, &ONE,
|
|
* &_word_vectors[indexes[m] * size], &ONE) # <<<<<<<<<<<<<<
|
|
*
|
|
* return result
|
|
*/
|
|
__pyx_v_6gensim_6models_14word2vec_inner_our_saxpy((&__pyx_v_size), (&(__pyx_v__word_locks[(__pyx_v_indexes[__pyx_v_m])])), __pyx_v__work, (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE), (&(__pyx_v__word_vectors[((__pyx_v_indexes[__pyx_v_m]) * __pyx_v_size)])), (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE));
|
|
}
|
|
__pyx_L47_continue:;
|
|
}
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":595
|
|
* our_saxpy(&size, &_doctag_locks[_doctag_indexes[m]], _work,
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*
|
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*
|
|
*
|
|
* def train_document_dm(model, doc_words, doctag_indexes, alpha, work=None, neu1=None, # <<<<<<<<<<<<<<
|
|
* learn_doctags=True, learn_words=True, learn_hidden=True,
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* word_vectors=None, word_locks=None, doctag_vectors=None, doctag_locks=None):
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*
|
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*
|
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* def train_document_dm_concat(model, doc_words, doctag_indexes, alpha, work=None, neu1=None, # <<<<<<<<<<<<<<
|
|
* learn_doctags=True, learn_words=True, learn_hidden=True,
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static char __pyx_doc_6gensim_6models_13doc2vec_inner_4train_document_dm_concat[] = "train_document_dm_concat(model, doc_words, doctag_indexes, alpha, work=None, neu1=None, learn_doctags=True, learn_words=True, learn_hidden=True, word_vectors=None, word_locks=None, doctag_vectors=None, doctag_locks=None)\nUpdate distributed memory model (\"PV-DM\") by training on a single document, using a concatenation of the context\n window word vectors (rather than a sum or average).\n This might be slower since the input at each batch will be significantly larger.\n\n Called internally from :meth:`~gensim.models.doc2vec.Doc2Vec.train` and\n :meth:`~gensim.models.doc2vec.Doc2Vec.infer_vector`.\n\n Parameters\n ----------\n model : :class:`~gensim.models.doc2vec.Doc2Vec`\n The model to train.\n doc_words : list of str\n The input document as a list of words to be used for training. Each word will be looked up in\n the model's vocabulary.\n doctag_indexes : list of int\n Indices into `doctag_vectors` used to obtain the tags of the document.\n alpha : float, optional\n Learning rate.\n work : np.ndarray, optional\n Private working memory for each worker.\n neu1 : np.ndarray, optional\n Private working memory for each worker.\n learn_doctags : bool, optional\n Whether the tag vectors should be updated.\n learn_words : bool, optional\n Word vectors will be updated exactly as per Word2Vec skip-gram training only if **both**\n `learn_words` and `train_words` are set to True.\n learn_hidden : bool, optional\n Whether or not the weights of the hidden layer will be updated.\n word_vectors : numpy.ndarray, optional\n The vector representation for each word in the vocabulary. If None, these will be retrieved from the model.\n word_locks : numpy.ndarray, optional\n A learning lock factor for each weight in the hidden layer for words, value 0 completely blocks updates,\n a value of 1 allows to update word-vectors.\n doctag_v""ectors : numpy.ndarray, optional\n Vector representations of the tags. If None, these will be retrieved from the model.\n doctag_locks : numpy.ndarray, optional\n The lock factors for each tag, same as `word_locks`, but for document-vectors.\n\n Returns\n -------\n int\n Number of words in the input document that were actually used for training.\n\n ";
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/* "gensim/models/doc2vec_inner.pyx":607
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*
|
|
* def train_document_dm_concat(model, doc_words, doctag_indexes, alpha, work=None, neu1=None,
|
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* learn_doctags=True, learn_words=True, learn_hidden=True, # <<<<<<<<<<<<<<
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/* "gensim/models/doc2vec_inner.pyx":608
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* def train_document_dm_concat(model, doc_words, doctag_indexes, alpha, work=None, neu1=None,
|
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* learn_doctags=True, learn_words=True, learn_hidden=True,
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* word_vectors=None, word_locks=None, doctag_vectors=None, doctag_locks=None): # <<<<<<<<<<<<<<
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* """Update distributed memory model ("PV-DM") by training on a single document, using a concatenation of the context
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CYTHON_FALLTHROUGH;
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|
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CYTHON_FALLTHROUGH;
|
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|
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case 9: values[8] = PyTuple_GET_ITEM(__pyx_args, 8);
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|
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|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":606
|
|
*
|
|
*
|
|
* def train_document_dm_concat(model, doc_words, doctag_indexes, alpha, work=None, neu1=None, # <<<<<<<<<<<<<<
|
|
* learn_doctags=True, learn_words=True, learn_hidden=True,
|
|
* word_vectors=None, word_locks=None, doctag_vectors=None, doctag_locks=None):
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|
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|
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static PyObject *__pyx_pf_6gensim_6models_13doc2vec_inner_4train_document_dm_concat(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_model, PyObject *__pyx_v_doc_words, PyObject *__pyx_v_doctag_indexes, PyObject *__pyx_v_alpha, PyObject *__pyx_v_work, PyObject *__pyx_v_neu1, PyObject *__pyx_v_learn_doctags, PyObject *__pyx_v_learn_words, PyObject *__pyx_v_learn_hidden, PyObject *__pyx_v_word_vectors, PyObject *__pyx_v_word_locks, PyObject *__pyx_v_doctag_vectors, PyObject *__pyx_v_doctag_locks) {
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int __pyx_v_hs;
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__Pyx_DECREF_SET(__pyx_v_word_vectors, __pyx_t_1);
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__pyx_t_1 = 0;
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/* "gensim/models/doc2vec_inner.pyx":700
|
|
*
|
|
* # default vectors, locks from syn0/doctag_syn0
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|
* if word_vectors is None: # <<<<<<<<<<<<<<
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|
* word_vectors = model.wv.vectors
|
|
* _word_vectors = <REAL_t *>(np.PyArray_DATA(word_vectors))
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*/
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|
}
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/* "gensim/models/doc2vec_inner.pyx":702
|
|
* if word_vectors is None:
|
|
* word_vectors = model.wv.vectors
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|
* _word_vectors = <REAL_t *>(np.PyArray_DATA(word_vectors)) # <<<<<<<<<<<<<<
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|
* if doctag_vectors is None:
|
|
* doctag_vectors = model.docvecs.vectors_docs
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*/
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|
if (!(likely(((__pyx_v_word_vectors) == Py_None) || likely(__Pyx_TypeTest(__pyx_v_word_vectors, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 702, __pyx_L1_error)
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/* "gensim/models/doc2vec_inner.pyx":703
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|
* word_vectors = model.wv.vectors
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|
* _word_vectors = <REAL_t *>(np.PyArray_DATA(word_vectors))
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|
* if doctag_vectors is None: # <<<<<<<<<<<<<<
|
|
* doctag_vectors = model.docvecs.vectors_docs
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|
* _doctag_vectors = <REAL_t *>(np.PyArray_DATA(doctag_vectors))
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*/
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__pyx_t_9 = (__pyx_v_doctag_vectors == Py_None);
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__pyx_t_8 = (__pyx_t_9 != 0);
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if (__pyx_t_8) {
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":704
|
|
* _word_vectors = <REAL_t *>(np.PyArray_DATA(word_vectors))
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|
* if doctag_vectors is None:
|
|
* doctag_vectors = model.docvecs.vectors_docs # <<<<<<<<<<<<<<
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|
* _doctag_vectors = <REAL_t *>(np.PyArray_DATA(doctag_vectors))
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* if word_locks is None:
|
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*/
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__pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_model, __pyx_n_s_docvecs); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 704, __pyx_L1_error)
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__Pyx_GOTREF(__pyx_t_1);
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__pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_vectors_docs); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 704, __pyx_L1_error)
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__Pyx_GOTREF(__pyx_t_3);
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__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
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__Pyx_DECREF_SET(__pyx_v_doctag_vectors, __pyx_t_3);
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__pyx_t_3 = 0;
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/* "gensim/models/doc2vec_inner.pyx":703
|
|
* word_vectors = model.wv.vectors
|
|
* _word_vectors = <REAL_t *>(np.PyArray_DATA(word_vectors))
|
|
* if doctag_vectors is None: # <<<<<<<<<<<<<<
|
|
* doctag_vectors = model.docvecs.vectors_docs
|
|
* _doctag_vectors = <REAL_t *>(np.PyArray_DATA(doctag_vectors))
|
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*/
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|
}
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/* "gensim/models/doc2vec_inner.pyx":705
|
|
* if doctag_vectors is None:
|
|
* doctag_vectors = model.docvecs.vectors_docs
|
|
* _doctag_vectors = <REAL_t *>(np.PyArray_DATA(doctag_vectors)) # <<<<<<<<<<<<<<
|
|
* if word_locks is None:
|
|
* word_locks = model.trainables.vectors_lockf
|
|
*/
|
|
if (!(likely(((__pyx_v_doctag_vectors) == Py_None) || likely(__Pyx_TypeTest(__pyx_v_doctag_vectors, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 705, __pyx_L1_error)
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__pyx_v__doctag_vectors = ((__pyx_t_6gensim_6models_14word2vec_inner_REAL_t *)PyArray_DATA(((PyArrayObject *)__pyx_v_doctag_vectors)));
|
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|
|
/* "gensim/models/doc2vec_inner.pyx":706
|
|
* doctag_vectors = model.docvecs.vectors_docs
|
|
* _doctag_vectors = <REAL_t *>(np.PyArray_DATA(doctag_vectors))
|
|
* if word_locks is None: # <<<<<<<<<<<<<<
|
|
* word_locks = model.trainables.vectors_lockf
|
|
* _word_locks = <REAL_t *>(np.PyArray_DATA(word_locks))
|
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*/
|
|
__pyx_t_8 = (__pyx_v_word_locks == Py_None);
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|
__pyx_t_9 = (__pyx_t_8 != 0);
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if (__pyx_t_9) {
|
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/* "gensim/models/doc2vec_inner.pyx":707
|
|
* _doctag_vectors = <REAL_t *>(np.PyArray_DATA(doctag_vectors))
|
|
* if word_locks is None:
|
|
* word_locks = model.trainables.vectors_lockf # <<<<<<<<<<<<<<
|
|
* _word_locks = <REAL_t *>(np.PyArray_DATA(word_locks))
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* if doctag_locks is None:
|
|
*/
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|
__pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_model, __pyx_n_s_trainables); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 707, __pyx_L1_error)
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__Pyx_GOTREF(__pyx_t_3);
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__pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_vectors_lockf); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 707, __pyx_L1_error)
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__Pyx_GOTREF(__pyx_t_1);
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__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
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__Pyx_DECREF_SET(__pyx_v_word_locks, __pyx_t_1);
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__pyx_t_1 = 0;
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/* "gensim/models/doc2vec_inner.pyx":706
|
|
* doctag_vectors = model.docvecs.vectors_docs
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* _doctag_vectors = <REAL_t *>(np.PyArray_DATA(doctag_vectors))
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* if word_locks is None: # <<<<<<<<<<<<<<
|
|
* word_locks = model.trainables.vectors_lockf
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* _word_locks = <REAL_t *>(np.PyArray_DATA(word_locks))
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*/
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}
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/* "gensim/models/doc2vec_inner.pyx":708
|
|
* if word_locks is None:
|
|
* word_locks = model.trainables.vectors_lockf
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|
* _word_locks = <REAL_t *>(np.PyArray_DATA(word_locks)) # <<<<<<<<<<<<<<
|
|
* if doctag_locks is None:
|
|
* doctag_locks = model.trainables.vectors_docs_lockf
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*/
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if (!(likely(((__pyx_v_word_locks) == Py_None) || likely(__Pyx_TypeTest(__pyx_v_word_locks, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 708, __pyx_L1_error)
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__pyx_v__word_locks = ((__pyx_t_6gensim_6models_14word2vec_inner_REAL_t *)PyArray_DATA(((PyArrayObject *)__pyx_v_word_locks)));
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/* "gensim/models/doc2vec_inner.pyx":709
|
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* word_locks = model.trainables.vectors_lockf
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|
* _word_locks = <REAL_t *>(np.PyArray_DATA(word_locks))
|
|
* if doctag_locks is None: # <<<<<<<<<<<<<<
|
|
* doctag_locks = model.trainables.vectors_docs_lockf
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* _doctag_locks = <REAL_t *>(np.PyArray_DATA(doctag_locks))
|
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*/
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__pyx_t_9 = (__pyx_v_doctag_locks == Py_None);
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__pyx_t_8 = (__pyx_t_9 != 0);
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if (__pyx_t_8) {
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":710
|
|
* _word_locks = <REAL_t *>(np.PyArray_DATA(word_locks))
|
|
* if doctag_locks is None:
|
|
* doctag_locks = model.trainables.vectors_docs_lockf # <<<<<<<<<<<<<<
|
|
* _doctag_locks = <REAL_t *>(np.PyArray_DATA(doctag_locks))
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*
|
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*/
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__pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_model, __pyx_n_s_trainables); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 710, __pyx_L1_error)
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__Pyx_GOTREF(__pyx_t_1);
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__pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_vectors_docs_lockf); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 710, __pyx_L1_error)
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__Pyx_GOTREF(__pyx_t_3);
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__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
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__Pyx_DECREF_SET(__pyx_v_doctag_locks, __pyx_t_3);
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__pyx_t_3 = 0;
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/* "gensim/models/doc2vec_inner.pyx":709
|
|
* word_locks = model.trainables.vectors_lockf
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* _word_locks = <REAL_t *>(np.PyArray_DATA(word_locks))
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* if doctag_locks is None: # <<<<<<<<<<<<<<
|
|
* doctag_locks = model.trainables.vectors_docs_lockf
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* _doctag_locks = <REAL_t *>(np.PyArray_DATA(doctag_locks))
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*/
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}
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/* "gensim/models/doc2vec_inner.pyx":711
|
|
* if doctag_locks is None:
|
|
* doctag_locks = model.trainables.vectors_docs_lockf
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|
* _doctag_locks = <REAL_t *>(np.PyArray_DATA(doctag_locks)) # <<<<<<<<<<<<<<
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*
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* if hs:
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*/
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if (!(likely(((__pyx_v_doctag_locks) == Py_None) || likely(__Pyx_TypeTest(__pyx_v_doctag_locks, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 711, __pyx_L1_error)
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/* "gensim/models/doc2vec_inner.pyx":713
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* _doctag_locks = <REAL_t *>(np.PyArray_DATA(doctag_locks))
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*
|
|
* if hs: # <<<<<<<<<<<<<<
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* syn1 = <REAL_t *>(np.PyArray_DATA(model.trainables.syn1))
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*
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*/
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__pyx_t_8 = (__pyx_v_hs != 0);
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if (__pyx_t_8) {
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/* "gensim/models/doc2vec_inner.pyx":714
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*
|
|
* if hs:
|
|
* syn1 = <REAL_t *>(np.PyArray_DATA(model.trainables.syn1)) # <<<<<<<<<<<<<<
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*
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* if negative:
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*/
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__pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_model, __pyx_n_s_trainables); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 714, __pyx_L1_error)
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__Pyx_GOTREF(__pyx_t_3);
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__pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_syn1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 714, __pyx_L1_error)
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__Pyx_GOTREF(__pyx_t_1);
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__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
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if (!(likely(((__pyx_t_1) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_1, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 714, __pyx_L1_error)
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__pyx_v_syn1 = ((__pyx_t_6gensim_6models_14word2vec_inner_REAL_t *)PyArray_DATA(((PyArrayObject *)__pyx_t_1)));
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__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
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/* "gensim/models/doc2vec_inner.pyx":713
|
|
* _doctag_locks = <REAL_t *>(np.PyArray_DATA(doctag_locks))
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|
*
|
|
* if hs: # <<<<<<<<<<<<<<
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|
* syn1 = <REAL_t *>(np.PyArray_DATA(model.trainables.syn1))
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*
|
|
*/
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|
}
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/* "gensim/models/doc2vec_inner.pyx":716
|
|
* syn1 = <REAL_t *>(np.PyArray_DATA(model.trainables.syn1))
|
|
*
|
|
* if negative: # <<<<<<<<<<<<<<
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|
* syn1neg = <REAL_t *>(np.PyArray_DATA(model.trainables.syn1neg))
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* cum_table = <np.uint32_t *>(np.PyArray_DATA(model.vocabulary.cum_table))
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*/
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__pyx_t_8 = (__pyx_v_negative != 0);
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if (__pyx_t_8) {
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":717
|
|
*
|
|
* if negative:
|
|
* syn1neg = <REAL_t *>(np.PyArray_DATA(model.trainables.syn1neg)) # <<<<<<<<<<<<<<
|
|
* cum_table = <np.uint32_t *>(np.PyArray_DATA(model.vocabulary.cum_table))
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* cum_table_len = len(model.vocabulary.cum_table)
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*/
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__pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_model, __pyx_n_s_trainables); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 717, __pyx_L1_error)
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__Pyx_GOTREF(__pyx_t_1);
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__pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_syn1neg); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 717, __pyx_L1_error)
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__Pyx_GOTREF(__pyx_t_3);
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__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
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if (!(likely(((__pyx_t_3) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_3, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 717, __pyx_L1_error)
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__pyx_v_syn1neg = ((__pyx_t_6gensim_6models_14word2vec_inner_REAL_t *)PyArray_DATA(((PyArrayObject *)__pyx_t_3)));
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__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
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/* "gensim/models/doc2vec_inner.pyx":718
|
|
* if negative:
|
|
* syn1neg = <REAL_t *>(np.PyArray_DATA(model.trainables.syn1neg))
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|
* cum_table = <np.uint32_t *>(np.PyArray_DATA(model.vocabulary.cum_table)) # <<<<<<<<<<<<<<
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|
* cum_table_len = len(model.vocabulary.cum_table)
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|
* if negative or sample:
|
|
*/
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__pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_model, __pyx_n_s_vocabulary); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 718, __pyx_L1_error)
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__Pyx_GOTREF(__pyx_t_3);
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__pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_cum_table); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 718, __pyx_L1_error)
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__Pyx_GOTREF(__pyx_t_1);
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__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
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if (!(likely(((__pyx_t_1) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_1, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 718, __pyx_L1_error)
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__pyx_v_cum_table = ((__pyx_t_5numpy_uint32_t *)PyArray_DATA(((PyArrayObject *)__pyx_t_1)));
|
|
__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
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|
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/* "gensim/models/doc2vec_inner.pyx":719
|
|
* syn1neg = <REAL_t *>(np.PyArray_DATA(model.trainables.syn1neg))
|
|
* cum_table = <np.uint32_t *>(np.PyArray_DATA(model.vocabulary.cum_table))
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|
* cum_table_len = len(model.vocabulary.cum_table) # <<<<<<<<<<<<<<
|
|
* if negative or sample:
|
|
* next_random = (2**24) * model.random.randint(0, 2**24) + model.random.randint(0, 2**24)
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*/
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|
__pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_model, __pyx_n_s_vocabulary); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 719, __pyx_L1_error)
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__Pyx_GOTREF(__pyx_t_1);
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__pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_cum_table); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 719, __pyx_L1_error)
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__Pyx_GOTREF(__pyx_t_3);
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__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
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__pyx_t_7 = PyObject_Length(__pyx_t_3); if (unlikely(__pyx_t_7 == ((Py_ssize_t)-1))) __PYX_ERR(0, 719, __pyx_L1_error)
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__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
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__pyx_v_cum_table_len = __pyx_t_7;
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":716
|
|
* syn1 = <REAL_t *>(np.PyArray_DATA(model.trainables.syn1))
|
|
*
|
|
* if negative: # <<<<<<<<<<<<<<
|
|
* syn1neg = <REAL_t *>(np.PyArray_DATA(model.trainables.syn1neg))
|
|
* cum_table = <np.uint32_t *>(np.PyArray_DATA(model.vocabulary.cum_table))
|
|
*/
|
|
}
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":720
|
|
* cum_table = <np.uint32_t *>(np.PyArray_DATA(model.vocabulary.cum_table))
|
|
* cum_table_len = len(model.vocabulary.cum_table)
|
|
* if negative or sample: # <<<<<<<<<<<<<<
|
|
* next_random = (2**24) * model.random.randint(0, 2**24) + model.random.randint(0, 2**24)
|
|
*
|
|
*/
|
|
__pyx_t_9 = (__pyx_v_negative != 0);
|
|
if (!__pyx_t_9) {
|
|
} else {
|
|
__pyx_t_8 = __pyx_t_9;
|
|
goto __pyx_L11_bool_binop_done;
|
|
}
|
|
__pyx_t_9 = (__pyx_v_sample != 0);
|
|
__pyx_t_8 = __pyx_t_9;
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|
__pyx_L11_bool_binop_done:;
|
|
if (__pyx_t_8) {
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":721
|
|
* cum_table_len = len(model.vocabulary.cum_table)
|
|
* if negative or sample:
|
|
* next_random = (2**24) * model.random.randint(0, 2**24) + model.random.randint(0, 2**24) # <<<<<<<<<<<<<<
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|
*
|
|
* # convert Python structures to primitive types, so we can release the GIL
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|
*/
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__pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_model, __pyx_n_s_random); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 721, __pyx_L1_error)
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__Pyx_GOTREF(__pyx_t_3);
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__pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_randint); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 721, __pyx_L1_error)
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__Pyx_GOTREF(__pyx_t_1);
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__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
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__pyx_t_9 = (__pyx_t_8 != 0);
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|
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|
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/* "gensim/models/doc2vec_inner.pyx":736
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/* "gensim/models/doc2vec_inner.pyx":735
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|
|
/* "gensim/models/doc2vec_inner.pyx":737
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__pyx_t_10 = __Pyx_PyObject_GetAttrStr(__pyx_v_predict_word, __pyx_n_s_sample_int); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 737, __pyx_L1_error)
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__Pyx_GOTREF(__pyx_t_1);
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__Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0;
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__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
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__Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0;
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__pyx_t_9 = __pyx_t_8;
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__pyx_L19_bool_binop_done:;
|
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if (__pyx_t_9) {
|
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|
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/* "gensim/models/doc2vec_inner.pyx":738
|
|
* continue # leaving i unchanged
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|
* if sample and predict_word.sample_int < random_int32(&next_random):
|
|
* continue # <<<<<<<<<<<<<<
|
|
* indexes[i] = predict_word.index
|
|
* if hs:
|
|
*/
|
|
goto __pyx_L15_continue;
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":737
|
|
* if predict_word is None: # shrink document to leave out word
|
|
* continue # leaving i unchanged
|
|
* if sample and predict_word.sample_int < random_int32(&next_random): # <<<<<<<<<<<<<<
|
|
* continue
|
|
* indexes[i] = predict_word.index
|
|
*/
|
|
}
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":739
|
|
* if sample and predict_word.sample_int < random_int32(&next_random):
|
|
* continue
|
|
* indexes[i] = predict_word.index # <<<<<<<<<<<<<<
|
|
* if hs:
|
|
* codelens[i] = <int>len(predict_word.code)
|
|
*/
|
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__pyx_t_12 = __Pyx_PyObject_GetAttrStr(__pyx_v_predict_word, __pyx_n_s_index); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 739, __pyx_L1_error)
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__Pyx_GOTREF(__pyx_t_12);
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__pyx_t_14 = __Pyx_PyInt_As_npy_uint32(__pyx_t_12); if (unlikely((__pyx_t_14 == ((npy_uint32)-1)) && PyErr_Occurred())) __PYX_ERR(0, 739, __pyx_L1_error)
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__Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0;
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(__pyx_v_indexes[__pyx_v_i]) = __pyx_t_14;
|
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|
|
/* "gensim/models/doc2vec_inner.pyx":740
|
|
* continue
|
|
* indexes[i] = predict_word.index
|
|
* if hs: # <<<<<<<<<<<<<<
|
|
* codelens[i] = <int>len(predict_word.code)
|
|
* codes[i] = <np.uint8_t *>np.PyArray_DATA(predict_word.code)
|
|
*/
|
|
__pyx_t_9 = (__pyx_v_hs != 0);
|
|
if (__pyx_t_9) {
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":741
|
|
* indexes[i] = predict_word.index
|
|
* if hs:
|
|
* codelens[i] = <int>len(predict_word.code) # <<<<<<<<<<<<<<
|
|
* codes[i] = <np.uint8_t *>np.PyArray_DATA(predict_word.code)
|
|
* points[i] = <np.uint32_t *>np.PyArray_DATA(predict_word.point)
|
|
*/
|
|
__pyx_t_12 = __Pyx_PyObject_GetAttrStr(__pyx_v_predict_word, __pyx_n_s_code); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 741, __pyx_L1_error)
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__Pyx_GOTREF(__pyx_t_12);
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__pyx_t_5 = PyObject_Length(__pyx_t_12); if (unlikely(__pyx_t_5 == ((Py_ssize_t)-1))) __PYX_ERR(0, 741, __pyx_L1_error)
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|
__Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0;
|
|
(__pyx_v_codelens[__pyx_v_i]) = ((int)__pyx_t_5);
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":742
|
|
* if hs:
|
|
* codelens[i] = <int>len(predict_word.code)
|
|
* codes[i] = <np.uint8_t *>np.PyArray_DATA(predict_word.code) # <<<<<<<<<<<<<<
|
|
* points[i] = <np.uint32_t *>np.PyArray_DATA(predict_word.point)
|
|
* result += 1
|
|
*/
|
|
__pyx_t_12 = __Pyx_PyObject_GetAttrStr(__pyx_v_predict_word, __pyx_n_s_code); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 742, __pyx_L1_error)
|
|
__Pyx_GOTREF(__pyx_t_12);
|
|
if (!(likely(((__pyx_t_12) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_12, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 742, __pyx_L1_error)
|
|
(__pyx_v_codes[__pyx_v_i]) = ((__pyx_t_5numpy_uint8_t *)PyArray_DATA(((PyArrayObject *)__pyx_t_12)));
|
|
__Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0;
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":743
|
|
* codelens[i] = <int>len(predict_word.code)
|
|
* codes[i] = <np.uint8_t *>np.PyArray_DATA(predict_word.code)
|
|
* points[i] = <np.uint32_t *>np.PyArray_DATA(predict_word.point) # <<<<<<<<<<<<<<
|
|
* result += 1
|
|
* i += 1
|
|
*/
|
|
__pyx_t_12 = __Pyx_PyObject_GetAttrStr(__pyx_v_predict_word, __pyx_n_s_point); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 743, __pyx_L1_error)
|
|
__Pyx_GOTREF(__pyx_t_12);
|
|
if (!(likely(((__pyx_t_12) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_12, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 743, __pyx_L1_error)
|
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(__pyx_v_points[__pyx_v_i]) = ((__pyx_t_5numpy_uint32_t *)PyArray_DATA(((PyArrayObject *)__pyx_t_12)));
|
|
__Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0;
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":740
|
|
* continue
|
|
* indexes[i] = predict_word.index
|
|
* if hs: # <<<<<<<<<<<<<<
|
|
* codelens[i] = <int>len(predict_word.code)
|
|
* codes[i] = <np.uint8_t *>np.PyArray_DATA(predict_word.code)
|
|
*/
|
|
}
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":744
|
|
* codes[i] = <np.uint8_t *>np.PyArray_DATA(predict_word.code)
|
|
* points[i] = <np.uint32_t *>np.PyArray_DATA(predict_word.point)
|
|
* result += 1 # <<<<<<<<<<<<<<
|
|
* i += 1
|
|
* if i == MAX_DOCUMENT_LEN:
|
|
*/
|
|
__pyx_v_result = (__pyx_v_result + 1);
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":745
|
|
* points[i] = <np.uint32_t *>np.PyArray_DATA(predict_word.point)
|
|
* result += 1
|
|
* i += 1 # <<<<<<<<<<<<<<
|
|
* if i == MAX_DOCUMENT_LEN:
|
|
* break # TODO: log warning, tally overflow?
|
|
*/
|
|
__pyx_v_i = (__pyx_v_i + 1);
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":746
|
|
* result += 1
|
|
* i += 1
|
|
* if i == MAX_DOCUMENT_LEN: # <<<<<<<<<<<<<<
|
|
* break # TODO: log warning, tally overflow?
|
|
* document_len = i
|
|
*/
|
|
__pyx_t_9 = ((__pyx_v_i == 0x2710) != 0);
|
|
if (__pyx_t_9) {
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":747
|
|
* i += 1
|
|
* if i == MAX_DOCUMENT_LEN:
|
|
* break # TODO: log warning, tally overflow? # <<<<<<<<<<<<<<
|
|
* document_len = i
|
|
*
|
|
*/
|
|
goto __pyx_L16_break;
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":746
|
|
* result += 1
|
|
* i += 1
|
|
* if i == MAX_DOCUMENT_LEN: # <<<<<<<<<<<<<<
|
|
* break # TODO: log warning, tally overflow?
|
|
* document_len = i
|
|
*/
|
|
}
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":733
|
|
* vlookup = model.wv.vocab
|
|
* i = 0
|
|
* for token in doc_words: # <<<<<<<<<<<<<<
|
|
* predict_word = vlookup[token] if token in vlookup else None
|
|
* if predict_word is None: # shrink document to leave out word
|
|
*/
|
|
__pyx_L15_continue:;
|
|
}
|
|
__pyx_L16_break:;
|
|
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":748
|
|
* if i == MAX_DOCUMENT_LEN:
|
|
* break # TODO: log warning, tally overflow?
|
|
* document_len = i # <<<<<<<<<<<<<<
|
|
*
|
|
* for i in range(doctag_len):
|
|
*/
|
|
__pyx_v_document_len = __pyx_v_i;
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":750
|
|
* document_len = i
|
|
*
|
|
* for i in range(doctag_len): # <<<<<<<<<<<<<<
|
|
* _doctag_indexes[i] = doctag_indexes[i]
|
|
* result += 1
|
|
*/
|
|
__pyx_t_2 = __pyx_v_doctag_len;
|
|
__pyx_t_15 = __pyx_t_2;
|
|
for (__pyx_t_16 = 0; __pyx_t_16 < __pyx_t_15; __pyx_t_16+=1) {
|
|
__pyx_v_i = __pyx_t_16;
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":751
|
|
*
|
|
* for i in range(doctag_len):
|
|
* _doctag_indexes[i] = doctag_indexes[i] # <<<<<<<<<<<<<<
|
|
* result += 1
|
|
*
|
|
*/
|
|
__pyx_t_3 = __Pyx_GetItemInt(__pyx_v_doctag_indexes, __pyx_v_i, int, 1, __Pyx_PyInt_From_int, 0, 0, 0); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 751, __pyx_L1_error)
|
|
__Pyx_GOTREF(__pyx_t_3);
|
|
__pyx_t_14 = __Pyx_PyInt_As_npy_uint32(__pyx_t_3); if (unlikely((__pyx_t_14 == ((npy_uint32)-1)) && PyErr_Occurred())) __PYX_ERR(0, 751, __pyx_L1_error)
|
|
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
|
|
(__pyx_v__doctag_indexes[__pyx_v_i]) = __pyx_t_14;
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":752
|
|
* for i in range(doctag_len):
|
|
* _doctag_indexes[i] = doctag_indexes[i]
|
|
* result += 1 # <<<<<<<<<<<<<<
|
|
*
|
|
* # release GIL & train on the document
|
|
*/
|
|
__pyx_v_result = (__pyx_v_result + 1);
|
|
}
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":755
|
|
*
|
|
* # release GIL & train on the document
|
|
* with nogil: # <<<<<<<<<<<<<<
|
|
* for i in range(document_len):
|
|
* j = i - window # negative OK: will pad with null word
|
|
*/
|
|
{
|
|
#ifdef WITH_THREAD
|
|
PyThreadState *_save;
|
|
Py_UNBLOCK_THREADS
|
|
__Pyx_FastGIL_Remember();
|
|
#endif
|
|
/*try:*/ {
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":756
|
|
* # release GIL & train on the document
|
|
* with nogil:
|
|
* for i in range(document_len): # <<<<<<<<<<<<<<
|
|
* j = i - window # negative OK: will pad with null word
|
|
* k = i + window + 1 # past document end OK: will pad with null word
|
|
*/
|
|
__pyx_t_2 = __pyx_v_document_len;
|
|
__pyx_t_15 = __pyx_t_2;
|
|
for (__pyx_t_16 = 0; __pyx_t_16 < __pyx_t_15; __pyx_t_16+=1) {
|
|
__pyx_v_i = __pyx_t_16;
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":757
|
|
* with nogil:
|
|
* for i in range(document_len):
|
|
* j = i - window # negative OK: will pad with null word # <<<<<<<<<<<<<<
|
|
* k = i + window + 1 # past document end OK: will pad with null word
|
|
*
|
|
*/
|
|
__pyx_v_j = (__pyx_v_i - __pyx_v_window);
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":758
|
|
* for i in range(document_len):
|
|
* j = i - window # negative OK: will pad with null word
|
|
* k = i + window + 1 # past document end OK: will pad with null word # <<<<<<<<<<<<<<
|
|
*
|
|
* # compose l1 & clear work
|
|
*/
|
|
__pyx_v_k = ((__pyx_v_i + __pyx_v_window) + 1);
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":761
|
|
*
|
|
* # compose l1 & clear work
|
|
* for m in range(doctag_len): # <<<<<<<<<<<<<<
|
|
* # doc vector(s)
|
|
* memcpy(&_neu1[m * vector_size], &_doctag_vectors[_doctag_indexes[m] * vector_size],
|
|
*/
|
|
__pyx_t_17 = __pyx_v_doctag_len;
|
|
__pyx_t_18 = __pyx_t_17;
|
|
for (__pyx_t_19 = 0; __pyx_t_19 < __pyx_t_18; __pyx_t_19+=1) {
|
|
__pyx_v_m = __pyx_t_19;
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":763
|
|
* for m in range(doctag_len):
|
|
* # doc vector(s)
|
|
* memcpy(&_neu1[m * vector_size], &_doctag_vectors[_doctag_indexes[m] * vector_size], # <<<<<<<<<<<<<<
|
|
* vector_size * cython.sizeof(REAL_t))
|
|
* n = 0
|
|
*/
|
|
(void)(memcpy((&(__pyx_v__neu1[(__pyx_v_m * __pyx_v_vector_size)])), (&(__pyx_v__doctag_vectors[((__pyx_v__doctag_indexes[__pyx_v_m]) * __pyx_v_vector_size)])), (__pyx_v_vector_size * (sizeof(__pyx_t_6gensim_6models_14word2vec_inner_REAL_t)))));
|
|
}
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":765
|
|
* memcpy(&_neu1[m * vector_size], &_doctag_vectors[_doctag_indexes[m] * vector_size],
|
|
* vector_size * cython.sizeof(REAL_t))
|
|
* n = 0 # <<<<<<<<<<<<<<
|
|
* for m in range(j, k):
|
|
* # word vectors in window
|
|
*/
|
|
__pyx_v_n = 0;
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":766
|
|
* vector_size * cython.sizeof(REAL_t))
|
|
* n = 0
|
|
* for m in range(j, k): # <<<<<<<<<<<<<<
|
|
* # word vectors in window
|
|
* if m == i:
|
|
*/
|
|
__pyx_t_17 = __pyx_v_k;
|
|
__pyx_t_18 = __pyx_t_17;
|
|
for (__pyx_t_19 = __pyx_v_j; __pyx_t_19 < __pyx_t_18; __pyx_t_19+=1) {
|
|
__pyx_v_m = __pyx_t_19;
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":768
|
|
* for m in range(j, k):
|
|
* # word vectors in window
|
|
* if m == i: # <<<<<<<<<<<<<<
|
|
* continue
|
|
* if m < 0 or m >= document_len:
|
|
*/
|
|
__pyx_t_9 = ((__pyx_v_m == __pyx_v_i) != 0);
|
|
if (__pyx_t_9) {
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":769
|
|
* # word vectors in window
|
|
* if m == i:
|
|
* continue # <<<<<<<<<<<<<<
|
|
* if m < 0 or m >= document_len:
|
|
* window_indexes[n] = null_word_index
|
|
*/
|
|
goto __pyx_L32_continue;
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":768
|
|
* for m in range(j, k):
|
|
* # word vectors in window
|
|
* if m == i: # <<<<<<<<<<<<<<
|
|
* continue
|
|
* if m < 0 or m >= document_len:
|
|
*/
|
|
}
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":770
|
|
* if m == i:
|
|
* continue
|
|
* if m < 0 or m >= document_len: # <<<<<<<<<<<<<<
|
|
* window_indexes[n] = null_word_index
|
|
* else:
|
|
*/
|
|
__pyx_t_8 = ((__pyx_v_m < 0) != 0);
|
|
if (!__pyx_t_8) {
|
|
} else {
|
|
__pyx_t_9 = __pyx_t_8;
|
|
goto __pyx_L36_bool_binop_done;
|
|
}
|
|
__pyx_t_8 = ((__pyx_v_m >= __pyx_v_document_len) != 0);
|
|
__pyx_t_9 = __pyx_t_8;
|
|
__pyx_L36_bool_binop_done:;
|
|
if (__pyx_t_9) {
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":771
|
|
* continue
|
|
* if m < 0 or m >= document_len:
|
|
* window_indexes[n] = null_word_index # <<<<<<<<<<<<<<
|
|
* else:
|
|
* window_indexes[n] = indexes[m]
|
|
*/
|
|
(__pyx_v_window_indexes[__pyx_v_n]) = __pyx_v_null_word_index;
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":770
|
|
* if m == i:
|
|
* continue
|
|
* if m < 0 or m >= document_len: # <<<<<<<<<<<<<<
|
|
* window_indexes[n] = null_word_index
|
|
* else:
|
|
*/
|
|
goto __pyx_L35;
|
|
}
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":773
|
|
* window_indexes[n] = null_word_index
|
|
* else:
|
|
* window_indexes[n] = indexes[m] # <<<<<<<<<<<<<<
|
|
* n += 1
|
|
* for m in range(2 * window):
|
|
*/
|
|
/*else*/ {
|
|
(__pyx_v_window_indexes[__pyx_v_n]) = (__pyx_v_indexes[__pyx_v_m]);
|
|
}
|
|
__pyx_L35:;
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":774
|
|
* else:
|
|
* window_indexes[n] = indexes[m]
|
|
* n += 1 # <<<<<<<<<<<<<<
|
|
* for m in range(2 * window):
|
|
* memcpy(&_neu1[(doctag_len + m) * vector_size], &_word_vectors[window_indexes[m] * vector_size],
|
|
*/
|
|
__pyx_v_n = (__pyx_v_n + 1);
|
|
__pyx_L32_continue:;
|
|
}
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":775
|
|
* window_indexes[n] = indexes[m]
|
|
* n += 1
|
|
* for m in range(2 * window): # <<<<<<<<<<<<<<
|
|
* memcpy(&_neu1[(doctag_len + m) * vector_size], &_word_vectors[window_indexes[m] * vector_size],
|
|
* vector_size * cython.sizeof(REAL_t))
|
|
*/
|
|
__pyx_t_6 = (2 * __pyx_v_window);
|
|
__pyx_t_20 = __pyx_t_6;
|
|
for (__pyx_t_17 = 0; __pyx_t_17 < __pyx_t_20; __pyx_t_17+=1) {
|
|
__pyx_v_m = __pyx_t_17;
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":776
|
|
* n += 1
|
|
* for m in range(2 * window):
|
|
* memcpy(&_neu1[(doctag_len + m) * vector_size], &_word_vectors[window_indexes[m] * vector_size], # <<<<<<<<<<<<<<
|
|
* vector_size * cython.sizeof(REAL_t))
|
|
* memset(_work, 0, layer1_size * cython.sizeof(REAL_t)) # work to accumulate l1 error
|
|
*/
|
|
(void)(memcpy((&(__pyx_v__neu1[((__pyx_v_doctag_len + __pyx_v_m) * __pyx_v_vector_size)])), (&(__pyx_v__word_vectors[((__pyx_v_window_indexes[__pyx_v_m]) * __pyx_v_vector_size)])), (__pyx_v_vector_size * (sizeof(__pyx_t_6gensim_6models_14word2vec_inner_REAL_t)))));
|
|
}
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":778
|
|
* memcpy(&_neu1[(doctag_len + m) * vector_size], &_word_vectors[window_indexes[m] * vector_size],
|
|
* vector_size * cython.sizeof(REAL_t))
|
|
* memset(_work, 0, layer1_size * cython.sizeof(REAL_t)) # work to accumulate l1 error # <<<<<<<<<<<<<<
|
|
*
|
|
* if hs:
|
|
*/
|
|
(void)(memset(__pyx_v__work, 0, (__pyx_v_layer1_size * (sizeof(__pyx_t_6gensim_6models_14word2vec_inner_REAL_t)))));
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":780
|
|
* memset(_work, 0, layer1_size * cython.sizeof(REAL_t)) # work to accumulate l1 error
|
|
*
|
|
* if hs: # <<<<<<<<<<<<<<
|
|
* fast_document_dmc_hs(points[i], codes[i], codelens[i],
|
|
* _neu1, syn1, _alpha, _work,
|
|
*/
|
|
__pyx_t_9 = (__pyx_v_hs != 0);
|
|
if (__pyx_t_9) {
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":781
|
|
*
|
|
* if hs:
|
|
* fast_document_dmc_hs(points[i], codes[i], codelens[i], # <<<<<<<<<<<<<<
|
|
* _neu1, syn1, _alpha, _work,
|
|
* layer1_size, vector_size, _learn_hidden)
|
|
*/
|
|
__pyx_f_6gensim_6models_13doc2vec_inner_fast_document_dmc_hs((__pyx_v_points[__pyx_v_i]), (__pyx_v_codes[__pyx_v_i]), (__pyx_v_codelens[__pyx_v_i]), __pyx_v__neu1, __pyx_v_syn1, __pyx_v__alpha, __pyx_v__work, __pyx_v_layer1_size, __pyx_v_vector_size, __pyx_v__learn_hidden);
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":780
|
|
* memset(_work, 0, layer1_size * cython.sizeof(REAL_t)) # work to accumulate l1 error
|
|
*
|
|
* if hs: # <<<<<<<<<<<<<<
|
|
* fast_document_dmc_hs(points[i], codes[i], codelens[i],
|
|
* _neu1, syn1, _alpha, _work,
|
|
*/
|
|
}
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":784
|
|
* _neu1, syn1, _alpha, _work,
|
|
* layer1_size, vector_size, _learn_hidden)
|
|
* if negative: # <<<<<<<<<<<<<<
|
|
* next_random = fast_document_dmc_neg(negative, cum_table, cum_table_len, next_random,
|
|
* _neu1, syn1neg, indexes[i], _alpha, _work,
|
|
*/
|
|
__pyx_t_9 = (__pyx_v_negative != 0);
|
|
if (__pyx_t_9) {
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":785
|
|
* layer1_size, vector_size, _learn_hidden)
|
|
* if negative:
|
|
* next_random = fast_document_dmc_neg(negative, cum_table, cum_table_len, next_random, # <<<<<<<<<<<<<<
|
|
* _neu1, syn1neg, indexes[i], _alpha, _work,
|
|
* layer1_size, vector_size, _learn_hidden)
|
|
*/
|
|
__pyx_v_next_random = __pyx_f_6gensim_6models_13doc2vec_inner_fast_document_dmc_neg(__pyx_v_negative, __pyx_v_cum_table, __pyx_v_cum_table_len, __pyx_v_next_random, __pyx_v__neu1, __pyx_v_syn1neg, (__pyx_v_indexes[__pyx_v_i]), __pyx_v__alpha, __pyx_v__work, __pyx_v_layer1_size, __pyx_v_vector_size, __pyx_v__learn_hidden);
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":784
|
|
* _neu1, syn1, _alpha, _work,
|
|
* layer1_size, vector_size, _learn_hidden)
|
|
* if negative: # <<<<<<<<<<<<<<
|
|
* next_random = fast_document_dmc_neg(negative, cum_table, cum_table_len, next_random,
|
|
* _neu1, syn1neg, indexes[i], _alpha, _work,
|
|
*/
|
|
}
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":789
|
|
* layer1_size, vector_size, _learn_hidden)
|
|
*
|
|
* if _learn_doctags: # <<<<<<<<<<<<<<
|
|
* for m in range(doctag_len):
|
|
* our_saxpy(&vector_size, &_doctag_locks[_doctag_indexes[m]], &_work[m * vector_size],
|
|
*/
|
|
__pyx_t_9 = (__pyx_v__learn_doctags != 0);
|
|
if (__pyx_t_9) {
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":790
|
|
*
|
|
* if _learn_doctags:
|
|
* for m in range(doctag_len): # <<<<<<<<<<<<<<
|
|
* our_saxpy(&vector_size, &_doctag_locks[_doctag_indexes[m]], &_work[m * vector_size],
|
|
* &ONE, &_doctag_vectors[_doctag_indexes[m] * vector_size], &ONE)
|
|
*/
|
|
__pyx_t_17 = __pyx_v_doctag_len;
|
|
__pyx_t_18 = __pyx_t_17;
|
|
for (__pyx_t_19 = 0; __pyx_t_19 < __pyx_t_18; __pyx_t_19+=1) {
|
|
__pyx_v_m = __pyx_t_19;
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":791
|
|
* if _learn_doctags:
|
|
* for m in range(doctag_len):
|
|
* our_saxpy(&vector_size, &_doctag_locks[_doctag_indexes[m]], &_work[m * vector_size], # <<<<<<<<<<<<<<
|
|
* &ONE, &_doctag_vectors[_doctag_indexes[m] * vector_size], &ONE)
|
|
* if _learn_words:
|
|
*/
|
|
__pyx_v_6gensim_6models_14word2vec_inner_our_saxpy((&__pyx_v_vector_size), (&(__pyx_v__doctag_locks[(__pyx_v__doctag_indexes[__pyx_v_m])])), (&(__pyx_v__work[(__pyx_v_m * __pyx_v_vector_size)])), (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE), (&(__pyx_v__doctag_vectors[((__pyx_v__doctag_indexes[__pyx_v_m]) * __pyx_v_vector_size)])), (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE));
|
|
}
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":789
|
|
* layer1_size, vector_size, _learn_hidden)
|
|
*
|
|
* if _learn_doctags: # <<<<<<<<<<<<<<
|
|
* for m in range(doctag_len):
|
|
* our_saxpy(&vector_size, &_doctag_locks[_doctag_indexes[m]], &_work[m * vector_size],
|
|
*/
|
|
}
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":793
|
|
* our_saxpy(&vector_size, &_doctag_locks[_doctag_indexes[m]], &_work[m * vector_size],
|
|
* &ONE, &_doctag_vectors[_doctag_indexes[m] * vector_size], &ONE)
|
|
* if _learn_words: # <<<<<<<<<<<<<<
|
|
* for m in range(2 * window):
|
|
* our_saxpy(&vector_size, &_word_locks[window_indexes[m]], &_work[(doctag_len + m) * vector_size],
|
|
*/
|
|
__pyx_t_9 = (__pyx_v__learn_words != 0);
|
|
if (__pyx_t_9) {
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":794
|
|
* &ONE, &_doctag_vectors[_doctag_indexes[m] * vector_size], &ONE)
|
|
* if _learn_words:
|
|
* for m in range(2 * window): # <<<<<<<<<<<<<<
|
|
* our_saxpy(&vector_size, &_word_locks[window_indexes[m]], &_work[(doctag_len + m) * vector_size],
|
|
* &ONE, &_word_vectors[window_indexes[m] * vector_size], &ONE)
|
|
*/
|
|
__pyx_t_6 = (2 * __pyx_v_window);
|
|
__pyx_t_20 = __pyx_t_6;
|
|
for (__pyx_t_17 = 0; __pyx_t_17 < __pyx_t_20; __pyx_t_17+=1) {
|
|
__pyx_v_m = __pyx_t_17;
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":795
|
|
* if _learn_words:
|
|
* for m in range(2 * window):
|
|
* our_saxpy(&vector_size, &_word_locks[window_indexes[m]], &_work[(doctag_len + m) * vector_size], # <<<<<<<<<<<<<<
|
|
* &ONE, &_word_vectors[window_indexes[m] * vector_size], &ONE)
|
|
*
|
|
*/
|
|
__pyx_v_6gensim_6models_14word2vec_inner_our_saxpy((&__pyx_v_vector_size), (&(__pyx_v__word_locks[(__pyx_v_window_indexes[__pyx_v_m])])), (&(__pyx_v__work[((__pyx_v_doctag_len + __pyx_v_m) * __pyx_v_vector_size)])), (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE), (&(__pyx_v__word_vectors[((__pyx_v_window_indexes[__pyx_v_m]) * __pyx_v_vector_size)])), (&__pyx_v_6gensim_6models_13doc2vec_inner_ONE));
|
|
}
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":793
|
|
* our_saxpy(&vector_size, &_doctag_locks[_doctag_indexes[m]], &_work[m * vector_size],
|
|
* &ONE, &_doctag_vectors[_doctag_indexes[m] * vector_size], &ONE)
|
|
* if _learn_words: # <<<<<<<<<<<<<<
|
|
* for m in range(2 * window):
|
|
* our_saxpy(&vector_size, &_word_locks[window_indexes[m]], &_work[(doctag_len + m) * vector_size],
|
|
*/
|
|
}
|
|
}
|
|
}
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":755
|
|
*
|
|
* # release GIL & train on the document
|
|
* with nogil: # <<<<<<<<<<<<<<
|
|
* for i in range(document_len):
|
|
* j = i - window # negative OK: will pad with null word
|
|
*/
|
|
/*finally:*/ {
|
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/*normal exit:*/{
|
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|
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__Pyx_FastGIL_Forget();
|
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Py_BLOCK_THREADS
|
|
#endif
|
|
goto __pyx_L27;
|
|
}
|
|
__pyx_L27:;
|
|
}
|
|
}
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":798
|
|
* &ONE, &_word_vectors[window_indexes[m] * vector_size], &ONE)
|
|
*
|
|
* return result # <<<<<<<<<<<<<<
|
|
*/
|
|
__Pyx_XDECREF(__pyx_r);
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__pyx_t_3 = __Pyx_PyInt_From_long(__pyx_v_result); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 798, __pyx_L1_error)
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|
__pyx_t_3 = 0;
|
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goto __pyx_L0;
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":606
|
|
*
|
|
*
|
|
* def train_document_dm_concat(model, doc_words, doctag_indexes, alpha, work=None, neu1=None, # <<<<<<<<<<<<<<
|
|
* learn_doctags=True, learn_words=True, learn_hidden=True,
|
|
* word_vectors=None, word_locks=None, doctag_vectors=None, doctag_locks=None):
|
|
*/
|
|
|
|
/* function exit code */
|
|
__pyx_L1_error:;
|
|
__Pyx_XDECREF(__pyx_t_1);
|
|
__Pyx_XDECREF(__pyx_t_3);
|
|
__Pyx_XDECREF(__pyx_t_10);
|
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__Pyx_XDECREF(__pyx_t_12);
|
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__Pyx_AddTraceback("gensim.models.doc2vec_inner.train_document_dm_concat", __pyx_clineno, __pyx_lineno, __pyx_filename);
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__pyx_L0:;
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__Pyx_XDECREF(__pyx_v_token);
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|
|
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|
|
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|
|
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|
|
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|
|
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|
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|
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|
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/* "../../.virtualenvs/math/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":215
|
|
* # experimental exception made for __getbuffer__ and __releasebuffer__
|
|
* # -- the details of this may change.
|
|
* def __getbuffer__(ndarray self, Py_buffer* info, int flags): # <<<<<<<<<<<<<<
|
|
* # This implementation of getbuffer is geared towards Cython
|
|
* # requirements, and does not yet fulfill the PEP.
|
|
*/
|
|
|
|
/* Python wrapper */
|
|
static CYTHON_UNUSED int __pyx_pw_5numpy_7ndarray_1__getbuffer__(PyObject *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /*proto*/
|
|
static CYTHON_UNUSED int __pyx_pw_5numpy_7ndarray_1__getbuffer__(PyObject *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags) {
|
|
int __pyx_r;
|
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__Pyx_RefNannyDeclarations
|
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__Pyx_RefNannySetupContext("__getbuffer__ (wrapper)", 0);
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|
|
|
|
/* function exit code */
|
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__Pyx_RefNannyFinishContext();
|
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|
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|
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int __pyx_v_i;
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|
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|
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|
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|
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__Pyx_RefNannyDeclarations
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|
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|
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int __pyx_t_6;
|
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char *__pyx_t_8;
|
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|
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|
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|
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|
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/* "../../.virtualenvs/math/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":222
|
|
*
|
|
* cdef int i, ndim
|
|
* cdef int endian_detector = 1 # <<<<<<<<<<<<<<
|
|
* cdef bint little_endian = ((<char*>&endian_detector)[0] != 0)
|
|
*
|
|
*/
|
|
__pyx_v_endian_detector = 1;
|
|
|
|
/* "../../.virtualenvs/math/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":223
|
|
* cdef int i, ndim
|
|
* cdef int endian_detector = 1
|
|
* cdef bint little_endian = ((<char*>&endian_detector)[0] != 0) # <<<<<<<<<<<<<<
|
|
*
|
|
* ndim = PyArray_NDIM(self)
|
|
*/
|
|
__pyx_v_little_endian = ((((char *)(&__pyx_v_endian_detector))[0]) != 0);
|
|
|
|
/* "../../.virtualenvs/math/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":225
|
|
* cdef bint little_endian = ((<char*>&endian_detector)[0] != 0)
|
|
*
|
|
* ndim = PyArray_NDIM(self) # <<<<<<<<<<<<<<
|
|
*
|
|
* if ((flags & pybuf.PyBUF_C_CONTIGUOUS == pybuf.PyBUF_C_CONTIGUOUS)
|
|
*/
|
|
__pyx_v_ndim = PyArray_NDIM(__pyx_v_self);
|
|
|
|
/* "../../.virtualenvs/math/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":227
|
|
* ndim = PyArray_NDIM(self)
|
|
*
|
|
* if ((flags & pybuf.PyBUF_C_CONTIGUOUS == pybuf.PyBUF_C_CONTIGUOUS) # <<<<<<<<<<<<<<
|
|
* and not PyArray_CHKFLAGS(self, NPY_C_CONTIGUOUS)):
|
|
* raise ValueError(u"ndarray is not C contiguous")
|
|
*/
|
|
__pyx_t_2 = (((__pyx_v_flags & PyBUF_C_CONTIGUOUS) == PyBUF_C_CONTIGUOUS) != 0);
|
|
if (__pyx_t_2) {
|
|
} else {
|
|
__pyx_t_1 = __pyx_t_2;
|
|
goto __pyx_L4_bool_binop_done;
|
|
}
|
|
|
|
/* "../../.virtualenvs/math/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":228
|
|
*
|
|
* if ((flags & pybuf.PyBUF_C_CONTIGUOUS == pybuf.PyBUF_C_CONTIGUOUS)
|
|
* and not PyArray_CHKFLAGS(self, NPY_C_CONTIGUOUS)): # <<<<<<<<<<<<<<
|
|
* raise ValueError(u"ndarray is not C contiguous")
|
|
*
|
|
*/
|
|
__pyx_t_2 = ((!(PyArray_CHKFLAGS(__pyx_v_self, NPY_C_CONTIGUOUS) != 0)) != 0);
|
|
__pyx_t_1 = __pyx_t_2;
|
|
__pyx_L4_bool_binop_done:;
|
|
|
|
/* "../../.virtualenvs/math/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":227
|
|
* ndim = PyArray_NDIM(self)
|
|
*
|
|
* if ((flags & pybuf.PyBUF_C_CONTIGUOUS == pybuf.PyBUF_C_CONTIGUOUS) # <<<<<<<<<<<<<<
|
|
* and not PyArray_CHKFLAGS(self, NPY_C_CONTIGUOUS)):
|
|
* raise ValueError(u"ndarray is not C contiguous")
|
|
*/
|
|
if (unlikely(__pyx_t_1)) {
|
|
|
|
/* "../../.virtualenvs/math/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":229
|
|
* if ((flags & pybuf.PyBUF_C_CONTIGUOUS == pybuf.PyBUF_C_CONTIGUOUS)
|
|
* and not PyArray_CHKFLAGS(self, NPY_C_CONTIGUOUS)):
|
|
* raise ValueError(u"ndarray is not C contiguous") # <<<<<<<<<<<<<<
|
|
*
|
|
* if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS)
|
|
*/
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|
__pyx_t_3 = __Pyx_PyObject_Call(__pyx_builtin_ValueError, __pyx_tuple__8, NULL); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 229, __pyx_L1_error)
|
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__Pyx_GOTREF(__pyx_t_3);
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__Pyx_Raise(__pyx_t_3, 0, 0, 0);
|
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__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
|
|
__PYX_ERR(1, 229, __pyx_L1_error)
|
|
|
|
/* "../../.virtualenvs/math/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":227
|
|
* ndim = PyArray_NDIM(self)
|
|
*
|
|
* if ((flags & pybuf.PyBUF_C_CONTIGUOUS == pybuf.PyBUF_C_CONTIGUOUS) # <<<<<<<<<<<<<<
|
|
* and not PyArray_CHKFLAGS(self, NPY_C_CONTIGUOUS)):
|
|
* raise ValueError(u"ndarray is not C contiguous")
|
|
*/
|
|
}
|
|
|
|
/* "../../.virtualenvs/math/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":231
|
|
* raise ValueError(u"ndarray is not C contiguous")
|
|
*
|
|
* if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS) # <<<<<<<<<<<<<<
|
|
* and not PyArray_CHKFLAGS(self, NPY_F_CONTIGUOUS)):
|
|
* raise ValueError(u"ndarray is not Fortran contiguous")
|
|
*/
|
|
__pyx_t_2 = (((__pyx_v_flags & PyBUF_F_CONTIGUOUS) == PyBUF_F_CONTIGUOUS) != 0);
|
|
if (__pyx_t_2) {
|
|
} else {
|
|
__pyx_t_1 = __pyx_t_2;
|
|
goto __pyx_L7_bool_binop_done;
|
|
}
|
|
|
|
/* "../../.virtualenvs/math/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":232
|
|
*
|
|
* if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS)
|
|
* and not PyArray_CHKFLAGS(self, NPY_F_CONTIGUOUS)): # <<<<<<<<<<<<<<
|
|
* raise ValueError(u"ndarray is not Fortran contiguous")
|
|
*
|
|
*/
|
|
__pyx_t_2 = ((!(PyArray_CHKFLAGS(__pyx_v_self, NPY_F_CONTIGUOUS) != 0)) != 0);
|
|
__pyx_t_1 = __pyx_t_2;
|
|
__pyx_L7_bool_binop_done:;
|
|
|
|
/* "../../.virtualenvs/math/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":231
|
|
* raise ValueError(u"ndarray is not C contiguous")
|
|
*
|
|
* if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS) # <<<<<<<<<<<<<<
|
|
* and not PyArray_CHKFLAGS(self, NPY_F_CONTIGUOUS)):
|
|
* raise ValueError(u"ndarray is not Fortran contiguous")
|
|
*/
|
|
if (unlikely(__pyx_t_1)) {
|
|
|
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/* "../../.virtualenvs/math/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":233
|
|
* if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS)
|
|
* and not PyArray_CHKFLAGS(self, NPY_F_CONTIGUOUS)):
|
|
* raise ValueError(u"ndarray is not Fortran contiguous") # <<<<<<<<<<<<<<
|
|
*
|
|
* info.buf = PyArray_DATA(self)
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|
*/
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__pyx_t_3 = __Pyx_PyObject_Call(__pyx_builtin_ValueError, __pyx_tuple__9, NULL); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 233, __pyx_L1_error)
|
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__Pyx_GOTREF(__pyx_t_3);
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|
__Pyx_Raise(__pyx_t_3, 0, 0, 0);
|
|
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
|
|
__PYX_ERR(1, 233, __pyx_L1_error)
|
|
|
|
/* "../../.virtualenvs/math/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":231
|
|
* raise ValueError(u"ndarray is not C contiguous")
|
|
*
|
|
* if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS) # <<<<<<<<<<<<<<
|
|
* and not PyArray_CHKFLAGS(self, NPY_F_CONTIGUOUS)):
|
|
* raise ValueError(u"ndarray is not Fortran contiguous")
|
|
*/
|
|
}
|
|
|
|
/* "../../.virtualenvs/math/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":235
|
|
* raise ValueError(u"ndarray is not Fortran contiguous")
|
|
*
|
|
* info.buf = PyArray_DATA(self) # <<<<<<<<<<<<<<
|
|
* info.ndim = ndim
|
|
* if sizeof(npy_intp) != sizeof(Py_ssize_t):
|
|
*/
|
|
__pyx_v_info->buf = PyArray_DATA(__pyx_v_self);
|
|
|
|
/* "../../.virtualenvs/math/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":236
|
|
*
|
|
* info.buf = PyArray_DATA(self)
|
|
* info.ndim = ndim # <<<<<<<<<<<<<<
|
|
* if sizeof(npy_intp) != sizeof(Py_ssize_t):
|
|
* # Allocate new buffer for strides and shape info.
|
|
*/
|
|
__pyx_v_info->ndim = __pyx_v_ndim;
|
|
|
|
/* "../../.virtualenvs/math/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":237
|
|
* info.buf = PyArray_DATA(self)
|
|
* info.ndim = ndim
|
|
* if sizeof(npy_intp) != sizeof(Py_ssize_t): # <<<<<<<<<<<<<<
|
|
* # Allocate new buffer for strides and shape info.
|
|
* # This is allocated as one block, strides first.
|
|
*/
|
|
__pyx_t_1 = (((sizeof(npy_intp)) != (sizeof(Py_ssize_t))) != 0);
|
|
if (__pyx_t_1) {
|
|
|
|
/* "../../.virtualenvs/math/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":240
|
|
* # Allocate new buffer for strides and shape info.
|
|
* # This is allocated as one block, strides first.
|
|
* info.strides = <Py_ssize_t*>PyObject_Malloc(sizeof(Py_ssize_t) * 2 * <size_t>ndim) # <<<<<<<<<<<<<<
|
|
* info.shape = info.strides + ndim
|
|
* for i in range(ndim):
|
|
*/
|
|
__pyx_v_info->strides = ((Py_ssize_t *)PyObject_Malloc((((sizeof(Py_ssize_t)) * 2) * ((size_t)__pyx_v_ndim))));
|
|
|
|
/* "../../.virtualenvs/math/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":241
|
|
* # This is allocated as one block, strides first.
|
|
* info.strides = <Py_ssize_t*>PyObject_Malloc(sizeof(Py_ssize_t) * 2 * <size_t>ndim)
|
|
* info.shape = info.strides + ndim # <<<<<<<<<<<<<<
|
|
* for i in range(ndim):
|
|
* info.strides[i] = PyArray_STRIDES(self)[i]
|
|
*/
|
|
__pyx_v_info->shape = (__pyx_v_info->strides + __pyx_v_ndim);
|
|
|
|
/* "../../.virtualenvs/math/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":242
|
|
* info.strides = <Py_ssize_t*>PyObject_Malloc(sizeof(Py_ssize_t) * 2 * <size_t>ndim)
|
|
* info.shape = info.strides + ndim
|
|
* for i in range(ndim): # <<<<<<<<<<<<<<
|
|
* info.strides[i] = PyArray_STRIDES(self)[i]
|
|
* info.shape[i] = PyArray_DIMS(self)[i]
|
|
*/
|
|
__pyx_t_4 = __pyx_v_ndim;
|
|
__pyx_t_5 = __pyx_t_4;
|
|
for (__pyx_t_6 = 0; __pyx_t_6 < __pyx_t_5; __pyx_t_6+=1) {
|
|
__pyx_v_i = __pyx_t_6;
|
|
|
|
/* "../../.virtualenvs/math/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":243
|
|
* info.shape = info.strides + ndim
|
|
* for i in range(ndim):
|
|
* info.strides[i] = PyArray_STRIDES(self)[i] # <<<<<<<<<<<<<<
|
|
* info.shape[i] = PyArray_DIMS(self)[i]
|
|
* else:
|
|
*/
|
|
(__pyx_v_info->strides[__pyx_v_i]) = (PyArray_STRIDES(__pyx_v_self)[__pyx_v_i]);
|
|
|
|
/* "../../.virtualenvs/math/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":244
|
|
* for i in range(ndim):
|
|
* info.strides[i] = PyArray_STRIDES(self)[i]
|
|
* info.shape[i] = PyArray_DIMS(self)[i] # <<<<<<<<<<<<<<
|
|
* else:
|
|
* info.strides = <Py_ssize_t*>PyArray_STRIDES(self)
|
|
*/
|
|
(__pyx_v_info->shape[__pyx_v_i]) = (PyArray_DIMS(__pyx_v_self)[__pyx_v_i]);
|
|
}
|
|
|
|
/* "../../.virtualenvs/math/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":237
|
|
* info.buf = PyArray_DATA(self)
|
|
* info.ndim = ndim
|
|
* if sizeof(npy_intp) != sizeof(Py_ssize_t): # <<<<<<<<<<<<<<
|
|
* # Allocate new buffer for strides and shape info.
|
|
* # This is allocated as one block, strides first.
|
|
*/
|
|
goto __pyx_L9;
|
|
}
|
|
|
|
/* "../../.virtualenvs/math/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":246
|
|
* info.shape[i] = PyArray_DIMS(self)[i]
|
|
* else:
|
|
* info.strides = <Py_ssize_t*>PyArray_STRIDES(self) # <<<<<<<<<<<<<<
|
|
* info.shape = <Py_ssize_t*>PyArray_DIMS(self)
|
|
* info.suboffsets = NULL
|
|
*/
|
|
/*else*/ {
|
|
__pyx_v_info->strides = ((Py_ssize_t *)PyArray_STRIDES(__pyx_v_self));
|
|
|
|
/* "../../.virtualenvs/math/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":247
|
|
* else:
|
|
* info.strides = <Py_ssize_t*>PyArray_STRIDES(self)
|
|
* info.shape = <Py_ssize_t*>PyArray_DIMS(self) # <<<<<<<<<<<<<<
|
|
* info.suboffsets = NULL
|
|
* info.itemsize = PyArray_ITEMSIZE(self)
|
|
*/
|
|
__pyx_v_info->shape = ((Py_ssize_t *)PyArray_DIMS(__pyx_v_self));
|
|
}
|
|
__pyx_L9:;
|
|
|
|
/* "../../.virtualenvs/math/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":248
|
|
* info.strides = <Py_ssize_t*>PyArray_STRIDES(self)
|
|
* info.shape = <Py_ssize_t*>PyArray_DIMS(self)
|
|
* info.suboffsets = NULL # <<<<<<<<<<<<<<
|
|
* info.itemsize = PyArray_ITEMSIZE(self)
|
|
* info.readonly = not PyArray_ISWRITEABLE(self)
|
|
*/
|
|
__pyx_v_info->suboffsets = NULL;
|
|
|
|
/* "../../.virtualenvs/math/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":249
|
|
* info.shape = <Py_ssize_t*>PyArray_DIMS(self)
|
|
* info.suboffsets = NULL
|
|
* info.itemsize = PyArray_ITEMSIZE(self) # <<<<<<<<<<<<<<
|
|
* info.readonly = not PyArray_ISWRITEABLE(self)
|
|
*
|
|
*/
|
|
__pyx_v_info->itemsize = PyArray_ITEMSIZE(__pyx_v_self);
|
|
|
|
/* "../../.virtualenvs/math/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":250
|
|
* info.suboffsets = NULL
|
|
* info.itemsize = PyArray_ITEMSIZE(self)
|
|
* info.readonly = not PyArray_ISWRITEABLE(self) # <<<<<<<<<<<<<<
|
|
*
|
|
* cdef int t
|
|
*/
|
|
__pyx_v_info->readonly = (!(PyArray_ISWRITEABLE(__pyx_v_self) != 0));
|
|
|
|
/* "../../.virtualenvs/math/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":253
|
|
*
|
|
* cdef int t
|
|
* cdef char* f = NULL # <<<<<<<<<<<<<<
|
|
* cdef dtype descr = self.descr
|
|
* cdef int offset
|
|
*/
|
|
__pyx_v_f = NULL;
|
|
|
|
/* "../../.virtualenvs/math/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":254
|
|
* cdef int t
|
|
* cdef char* f = NULL
|
|
* cdef dtype descr = self.descr # <<<<<<<<<<<<<<
|
|
* cdef int offset
|
|
*
|
|
*/
|
|
__pyx_t_3 = ((PyObject *)__pyx_v_self->descr);
|
|
__Pyx_INCREF(__pyx_t_3);
|
|
__pyx_v_descr = ((PyArray_Descr *)__pyx_t_3);
|
|
__pyx_t_3 = 0;
|
|
|
|
/* "../../.virtualenvs/math/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":257
|
|
* cdef int offset
|
|
*
|
|
* info.obj = self # <<<<<<<<<<<<<<
|
|
*
|
|
* if not PyDataType_HASFIELDS(descr):
|
|
*/
|
|
__Pyx_INCREF(((PyObject *)__pyx_v_self));
|
|
__Pyx_GIVEREF(((PyObject *)__pyx_v_self));
|
|
__Pyx_GOTREF(__pyx_v_info->obj);
|
|
__Pyx_DECREF(__pyx_v_info->obj);
|
|
__pyx_v_info->obj = ((PyObject *)__pyx_v_self);
|
|
|
|
/* "../../.virtualenvs/math/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":259
|
|
* info.obj = self
|
|
*
|
|
* if not PyDataType_HASFIELDS(descr): # <<<<<<<<<<<<<<
|
|
* t = descr.type_num
|
|
* if ((descr.byteorder == c'>' and little_endian) or
|
|
*/
|
|
__pyx_t_1 = ((!(PyDataType_HASFIELDS(__pyx_v_descr) != 0)) != 0);
|
|
if (__pyx_t_1) {
|
|
|
|
/* "../../.virtualenvs/math/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":260
|
|
*
|
|
* if not PyDataType_HASFIELDS(descr):
|
|
* t = descr.type_num # <<<<<<<<<<<<<<
|
|
* if ((descr.byteorder == c'>' and little_endian) or
|
|
* (descr.byteorder == c'<' and not little_endian)):
|
|
*/
|
|
__pyx_t_4 = __pyx_v_descr->type_num;
|
|
__pyx_v_t = __pyx_t_4;
|
|
|
|
/* "../../.virtualenvs/math/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":261
|
|
* if not PyDataType_HASFIELDS(descr):
|
|
* t = descr.type_num
|
|
* if ((descr.byteorder == c'>' and little_endian) or # <<<<<<<<<<<<<<
|
|
* (descr.byteorder == c'<' and not little_endian)):
|
|
* raise ValueError(u"Non-native byte order not supported")
|
|
*/
|
|
__pyx_t_2 = ((__pyx_v_descr->byteorder == '>') != 0);
|
|
if (!__pyx_t_2) {
|
|
goto __pyx_L15_next_or;
|
|
} else {
|
|
}
|
|
__pyx_t_2 = (__pyx_v_little_endian != 0);
|
|
if (!__pyx_t_2) {
|
|
} else {
|
|
__pyx_t_1 = __pyx_t_2;
|
|
goto __pyx_L14_bool_binop_done;
|
|
}
|
|
__pyx_L15_next_or:;
|
|
|
|
/* "../../.virtualenvs/math/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":262
|
|
* t = descr.type_num
|
|
* if ((descr.byteorder == c'>' and little_endian) or
|
|
* (descr.byteorder == c'<' and not little_endian)): # <<<<<<<<<<<<<<
|
|
* raise ValueError(u"Non-native byte order not supported")
|
|
* if t == NPY_BYTE: f = "b"
|
|
*/
|
|
__pyx_t_2 = ((__pyx_v_descr->byteorder == '<') != 0);
|
|
if (__pyx_t_2) {
|
|
} else {
|
|
__pyx_t_1 = __pyx_t_2;
|
|
goto __pyx_L14_bool_binop_done;
|
|
}
|
|
__pyx_t_2 = ((!(__pyx_v_little_endian != 0)) != 0);
|
|
__pyx_t_1 = __pyx_t_2;
|
|
__pyx_L14_bool_binop_done:;
|
|
|
|
/* "../../.virtualenvs/math/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":261
|
|
* if not PyDataType_HASFIELDS(descr):
|
|
* t = descr.type_num
|
|
* if ((descr.byteorder == c'>' and little_endian) or # <<<<<<<<<<<<<<
|
|
* (descr.byteorder == c'<' and not little_endian)):
|
|
* raise ValueError(u"Non-native byte order not supported")
|
|
*/
|
|
if (unlikely(__pyx_t_1)) {
|
|
|
|
/* "../../.virtualenvs/math/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":263
|
|
* if ((descr.byteorder == c'>' and little_endian) or
|
|
* (descr.byteorder == c'<' and not little_endian)):
|
|
* raise ValueError(u"Non-native byte order not supported") # <<<<<<<<<<<<<<
|
|
* if t == NPY_BYTE: f = "b"
|
|
* elif t == NPY_UBYTE: f = "B"
|
|
*/
|
|
__pyx_t_3 = __Pyx_PyObject_Call(__pyx_builtin_ValueError, __pyx_tuple__10, NULL); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 263, __pyx_L1_error)
|
|
__Pyx_GOTREF(__pyx_t_3);
|
|
__Pyx_Raise(__pyx_t_3, 0, 0, 0);
|
|
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
|
|
__PYX_ERR(1, 263, __pyx_L1_error)
|
|
|
|
/* "../../.virtualenvs/math/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":261
|
|
* if not PyDataType_HASFIELDS(descr):
|
|
* t = descr.type_num
|
|
* if ((descr.byteorder == c'>' and little_endian) or # <<<<<<<<<<<<<<
|
|
* (descr.byteorder == c'<' and not little_endian)):
|
|
* raise ValueError(u"Non-native byte order not supported")
|
|
*/
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/* "../../.virtualenvs/math/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":851
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/* "../../.virtualenvs/math/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":229
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/* "../../.virtualenvs/math/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":233
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|
__pyx_L4_except_error:;
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":21
|
|
*
|
|
* # scipy <= 0.15
|
|
* try: # <<<<<<<<<<<<<<
|
|
* from scipy.linalg.blas import fblas
|
|
* except ImportError:
|
|
*/
|
|
__Pyx_XGIVEREF(__pyx_t_3);
|
|
__Pyx_XGIVEREF(__pyx_t_4);
|
|
__Pyx_XGIVEREF(__pyx_t_5);
|
|
__Pyx_ExceptionReset(__pyx_t_3, __pyx_t_4, __pyx_t_5);
|
|
goto __pyx_L1_error;
|
|
__pyx_L3_exception_handled:;
|
|
__Pyx_XGIVEREF(__pyx_t_3);
|
|
__Pyx_XGIVEREF(__pyx_t_4);
|
|
__Pyx_XGIVEREF(__pyx_t_5);
|
|
__Pyx_ExceptionReset(__pyx_t_3, __pyx_t_4, __pyx_t_5);
|
|
__pyx_L7_try_end:;
|
|
}
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":31
|
|
* DEF MAX_DOCUMENT_LEN = 10000
|
|
*
|
|
* cdef int ONE = 1 # <<<<<<<<<<<<<<
|
|
* cdef REAL_t ONEF = <REAL_t>1.0
|
|
*
|
|
*/
|
|
__pyx_v_6gensim_6models_13doc2vec_inner_ONE = 1;
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":32
|
|
*
|
|
* cdef int ONE = 1
|
|
* cdef REAL_t ONEF = <REAL_t>1.0 # <<<<<<<<<<<<<<
|
|
*
|
|
* DEF EXP_TABLE_SIZE = 1000
|
|
*/
|
|
__pyx_v_6gensim_6models_13doc2vec_inner_ONEF = ((__pyx_t_6gensim_6models_14word2vec_inner_REAL_t)1.0);
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":223
|
|
*
|
|
*
|
|
* def train_document_dbow(model, doc_words, doctag_indexes, alpha, work=None, # <<<<<<<<<<<<<<
|
|
* train_words=False, learn_doctags=True, learn_words=True, learn_hidden=True,
|
|
* word_vectors=None, word_locks=None, doctag_vectors=None, doctag_locks=None):
|
|
*/
|
|
__pyx_t_7 = PyCFunction_NewEx(&__pyx_mdef_6gensim_6models_13doc2vec_inner_1train_document_dbow, NULL, __pyx_n_s_gensim_models_doc2vec_inner); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 223, __pyx_L1_error)
|
|
__Pyx_GOTREF(__pyx_t_7);
|
|
if (PyDict_SetItem(__pyx_d, __pyx_n_s_train_document_dbow, __pyx_t_7) < 0) __PYX_ERR(0, 223, __pyx_L1_error)
|
|
__Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":403
|
|
*
|
|
*
|
|
* def train_document_dm(model, doc_words, doctag_indexes, alpha, work=None, neu1=None, # <<<<<<<<<<<<<<
|
|
* learn_doctags=True, learn_words=True, learn_hidden=True,
|
|
* word_vectors=None, word_locks=None, doctag_vectors=None, doctag_locks=None):
|
|
*/
|
|
__pyx_t_7 = PyCFunction_NewEx(&__pyx_mdef_6gensim_6models_13doc2vec_inner_3train_document_dm, NULL, __pyx_n_s_gensim_models_doc2vec_inner); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 403, __pyx_L1_error)
|
|
__Pyx_GOTREF(__pyx_t_7);
|
|
if (PyDict_SetItem(__pyx_d, __pyx_n_s_train_document_dm, __pyx_t_7) < 0) __PYX_ERR(0, 403, __pyx_L1_error)
|
|
__Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":606
|
|
*
|
|
*
|
|
* def train_document_dm_concat(model, doc_words, doctag_indexes, alpha, work=None, neu1=None, # <<<<<<<<<<<<<<
|
|
* learn_doctags=True, learn_words=True, learn_hidden=True,
|
|
* word_vectors=None, word_locks=None, doctag_vectors=None, doctag_locks=None):
|
|
*/
|
|
__pyx_t_7 = PyCFunction_NewEx(&__pyx_mdef_6gensim_6models_13doc2vec_inner_5train_document_dm_concat, NULL, __pyx_n_s_gensim_models_doc2vec_inner); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 606, __pyx_L1_error)
|
|
__Pyx_GOTREF(__pyx_t_7);
|
|
if (PyDict_SetItem(__pyx_d, __pyx_n_s_train_document_dm_concat, __pyx_t_7) < 0) __PYX_ERR(0, 606, __pyx_L1_error)
|
|
__Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
|
|
|
|
/* "gensim/models/doc2vec_inner.pyx":1
|
|
* #!/usr/bin/env cython # <<<<<<<<<<<<<<
|
|
* # cython: boundscheck=False
|
|
* # cython: wraparound=False
|
|
*/
|
|
__pyx_t_7 = __Pyx_PyDict_NewPresized(0); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 1, __pyx_L1_error)
|
|
__Pyx_GOTREF(__pyx_t_7);
|
|
if (PyDict_SetItem(__pyx_d, __pyx_n_s_test, __pyx_t_7) < 0) __PYX_ERR(0, 1, __pyx_L1_error)
|
|
__Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
|
|
|
|
/* "../../.virtualenvs/math/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1008
|
|
* raise ImportError("numpy.core.umath failed to import")
|
|
*
|
|
* cdef inline int import_ufunc() except -1: # <<<<<<<<<<<<<<
|
|
* try:
|
|
* _import_umath()
|
|
*/
|
|
|
|
/*--- Wrapped vars code ---*/
|
|
|
|
goto __pyx_L0;
|
|
__pyx_L1_error:;
|
|
__Pyx_XDECREF(__pyx_t_1);
|
|
__Pyx_XDECREF(__pyx_t_2);
|
|
__Pyx_XDECREF(__pyx_t_7);
|
|
__Pyx_XDECREF(__pyx_t_8);
|
|
__Pyx_XDECREF(__pyx_t_9);
|
|
if (__pyx_m) {
|
|
if (__pyx_d) {
|
|
__Pyx_AddTraceback("init gensim.models.doc2vec_inner", 0, __pyx_lineno, __pyx_filename);
|
|
}
|
|
Py_DECREF(__pyx_m); __pyx_m = 0;
|
|
} else if (!PyErr_Occurred()) {
|
|
PyErr_SetString(PyExc_ImportError, "init gensim.models.doc2vec_inner");
|
|
}
|
|
__pyx_L0:;
|
|
__Pyx_RefNannyFinishContext();
|
|
#if CYTHON_PEP489_MULTI_PHASE_INIT
|
|
return (__pyx_m != NULL) ? 0 : -1;
|
|
#elif PY_MAJOR_VERSION >= 3
|
|
return __pyx_m;
|
|
#else
|
|
return;
|
|
#endif
|
|
}
|
|
|
|
/* --- Runtime support code --- */
|
|
/* Refnanny */
|
|
#if CYTHON_REFNANNY
|
|
static __Pyx_RefNannyAPIStruct *__Pyx_RefNannyImportAPI(const char *modname) {
|
|
PyObject *m = NULL, *p = NULL;
|
|
void *r = NULL;
|
|
m = PyImport_ImportModule((char *)modname);
|
|
if (!m) goto end;
|
|
p = PyObject_GetAttrString(m, (char *)"RefNannyAPI");
|
|
if (!p) goto end;
|
|
r = PyLong_AsVoidPtr(p);
|
|
end:
|
|
Py_XDECREF(p);
|
|
Py_XDECREF(m);
|
|
return (__Pyx_RefNannyAPIStruct *)r;
|
|
}
|
|
#endif
|
|
|
|
/* PyObjectGetAttrStr */
|
|
#if CYTHON_USE_TYPE_SLOTS
|
|
static CYTHON_INLINE PyObject* __Pyx_PyObject_GetAttrStr(PyObject* obj, PyObject* attr_name) {
|
|
PyTypeObject* tp = Py_TYPE(obj);
|
|
if (likely(tp->tp_getattro))
|
|
return tp->tp_getattro(obj, attr_name);
|
|
#if PY_MAJOR_VERSION < 3
|
|
if (likely(tp->tp_getattr))
|
|
return tp->tp_getattr(obj, PyString_AS_STRING(attr_name));
|
|
#endif
|
|
return PyObject_GetAttr(obj, attr_name);
|
|
}
|
|
#endif
|
|
|
|
/* GetBuiltinName */
|
|
static PyObject *__Pyx_GetBuiltinName(PyObject *name) {
|
|
PyObject* result = __Pyx_PyObject_GetAttrStr(__pyx_b, name);
|
|
if (unlikely(!result)) {
|
|
PyErr_Format(PyExc_NameError,
|
|
#if PY_MAJOR_VERSION >= 3
|
|
"name '%U' is not defined", name);
|
|
#else
|
|
"name '%.200s' is not defined", PyString_AS_STRING(name));
|
|
#endif
|
|
}
|
|
return result;
|
|
}
|
|
|
|
/* RaiseArgTupleInvalid */
|
|
static void __Pyx_RaiseArgtupleInvalid(
|
|
const char* func_name,
|
|
int exact,
|
|
Py_ssize_t num_min,
|
|
Py_ssize_t num_max,
|
|
Py_ssize_t num_found)
|
|
{
|
|
Py_ssize_t num_expected;
|
|
const char *more_or_less;
|
|
if (num_found < num_min) {
|
|
num_expected = num_min;
|
|
more_or_less = "at least";
|
|
} else {
|
|
num_expected = num_max;
|
|
more_or_less = "at most";
|
|
}
|
|
if (exact) {
|
|
more_or_less = "exactly";
|
|
}
|
|
PyErr_Format(PyExc_TypeError,
|
|
"%.200s() takes %.8s %" CYTHON_FORMAT_SSIZE_T "d positional argument%.1s (%" CYTHON_FORMAT_SSIZE_T "d given)",
|
|
func_name, more_or_less, num_expected,
|
|
(num_expected == 1) ? "" : "s", num_found);
|
|
}
|
|
|
|
/* RaiseDoubleKeywords */
|
|
static void __Pyx_RaiseDoubleKeywordsError(
|
|
const char* func_name,
|
|
PyObject* kw_name)
|
|
{
|
|
PyErr_Format(PyExc_TypeError,
|
|
#if PY_MAJOR_VERSION >= 3
|
|
"%s() got multiple values for keyword argument '%U'", func_name, kw_name);
|
|
#else
|
|
"%s() got multiple values for keyword argument '%s'", func_name,
|
|
PyString_AsString(kw_name));
|
|
#endif
|
|
}
|
|
|
|
/* ParseKeywords */
|
|
static int __Pyx_ParseOptionalKeywords(
|
|
PyObject *kwds,
|
|
PyObject **argnames[],
|
|
PyObject *kwds2,
|
|
PyObject *values[],
|
|
Py_ssize_t num_pos_args,
|
|
const char* function_name)
|
|
{
|
|
PyObject *key = 0, *value = 0;
|
|
Py_ssize_t pos = 0;
|
|
PyObject*** name;
|
|
PyObject*** first_kw_arg = argnames + num_pos_args;
|
|
while (PyDict_Next(kwds, &pos, &key, &value)) {
|
|
name = first_kw_arg;
|
|
while (*name && (**name != key)) name++;
|
|
if (*name) {
|
|
values[name-argnames] = value;
|
|
continue;
|
|
}
|
|
name = first_kw_arg;
|
|
#if PY_MAJOR_VERSION < 3
|
|
if (likely(PyString_CheckExact(key)) || likely(PyString_Check(key))) {
|
|
while (*name) {
|
|
if ((CYTHON_COMPILING_IN_PYPY || PyString_GET_SIZE(**name) == PyString_GET_SIZE(key))
|
|
&& _PyString_Eq(**name, key)) {
|
|
values[name-argnames] = value;
|
|
break;
|
|
}
|
|
name++;
|
|
}
|
|
if (*name) continue;
|
|
else {
|
|
PyObject*** argname = argnames;
|
|
while (argname != first_kw_arg) {
|
|
if ((**argname == key) || (
|
|
(CYTHON_COMPILING_IN_PYPY || PyString_GET_SIZE(**argname) == PyString_GET_SIZE(key))
|
|
&& _PyString_Eq(**argname, key))) {
|
|
goto arg_passed_twice;
|
|
}
|
|
argname++;
|
|
}
|
|
}
|
|
} else
|
|
#endif
|
|
if (likely(PyUnicode_Check(key))) {
|
|
while (*name) {
|
|
int cmp = (**name == key) ? 0 :
|
|
#if !CYTHON_COMPILING_IN_PYPY && PY_MAJOR_VERSION >= 3
|
|
(PyUnicode_GET_SIZE(**name) != PyUnicode_GET_SIZE(key)) ? 1 :
|
|
#endif
|
|
PyUnicode_Compare(**name, key);
|
|
if (cmp < 0 && unlikely(PyErr_Occurred())) goto bad;
|
|
if (cmp == 0) {
|
|
values[name-argnames] = value;
|
|
break;
|
|
}
|
|
name++;
|
|
}
|
|
if (*name) continue;
|
|
else {
|
|
PyObject*** argname = argnames;
|
|
while (argname != first_kw_arg) {
|
|
int cmp = (**argname == key) ? 0 :
|
|
#if !CYTHON_COMPILING_IN_PYPY && PY_MAJOR_VERSION >= 3
|
|
(PyUnicode_GET_SIZE(**argname) != PyUnicode_GET_SIZE(key)) ? 1 :
|
|
#endif
|
|
PyUnicode_Compare(**argname, key);
|
|
if (cmp < 0 && unlikely(PyErr_Occurred())) goto bad;
|
|
if (cmp == 0) goto arg_passed_twice;
|
|
argname++;
|
|
}
|
|
}
|
|
} else
|
|
goto invalid_keyword_type;
|
|
if (kwds2) {
|
|
if (unlikely(PyDict_SetItem(kwds2, key, value))) goto bad;
|
|
} else {
|
|
goto invalid_keyword;
|
|
}
|
|
}
|
|
return 0;
|
|
arg_passed_twice:
|
|
__Pyx_RaiseDoubleKeywordsError(function_name, key);
|
|
goto bad;
|
|
invalid_keyword_type:
|
|
PyErr_Format(PyExc_TypeError,
|
|
"%.200s() keywords must be strings", function_name);
|
|
goto bad;
|
|
invalid_keyword:
|
|
PyErr_Format(PyExc_TypeError,
|
|
#if PY_MAJOR_VERSION < 3
|
|
"%.200s() got an unexpected keyword argument '%.200s'",
|
|
function_name, PyString_AsString(key));
|
|
#else
|
|
"%s() got an unexpected keyword argument '%U'",
|
|
function_name, key);
|
|
#endif
|
|
bad:
|
|
return -1;
|
|
}
|
|
|
|
/* ExtTypeTest */
|
|
static CYTHON_INLINE int __Pyx_TypeTest(PyObject *obj, PyTypeObject *type) {
|
|
if (unlikely(!type)) {
|
|
PyErr_SetString(PyExc_SystemError, "Missing type object");
|
|
return 0;
|
|
}
|
|
if (likely(__Pyx_TypeCheck(obj, type)))
|
|
return 1;
|
|
PyErr_Format(PyExc_TypeError, "Cannot convert %.200s to %.200s",
|
|
Py_TYPE(obj)->tp_name, type->tp_name);
|
|
return 0;
|
|
}
|
|
|
|
/* PyObjectCall */
|
|
#if CYTHON_COMPILING_IN_CPYTHON
|
|
static CYTHON_INLINE PyObject* __Pyx_PyObject_Call(PyObject *func, PyObject *arg, PyObject *kw) {
|
|
PyObject *result;
|
|
ternaryfunc call = func->ob_type->tp_call;
|
|
if (unlikely(!call))
|
|
return PyObject_Call(func, arg, kw);
|
|
if (unlikely(Py_EnterRecursiveCall((char*)" while calling a Python object")))
|
|
return NULL;
|
|
result = (*call)(func, arg, kw);
|
|
Py_LeaveRecursiveCall();
|
|
if (unlikely(!result) && unlikely(!PyErr_Occurred())) {
|
|
PyErr_SetString(
|
|
PyExc_SystemError,
|
|
"NULL result without error in PyObject_Call");
|
|
}
|
|
return result;
|
|
}
|
|
#endif
|
|
|
|
/* GetModuleGlobalName */
|
|
static CYTHON_INLINE PyObject *__Pyx_GetModuleGlobalName(PyObject *name) {
|
|
PyObject *result;
|
|
#if !CYTHON_AVOID_BORROWED_REFS
|
|
#if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX >= 0x030500A1
|
|
result = _PyDict_GetItem_KnownHash(__pyx_d, name, ((PyASCIIObject *) name)->hash);
|
|
if (likely(result)) {
|
|
Py_INCREF(result);
|
|
} else if (unlikely(PyErr_Occurred())) {
|
|
result = NULL;
|
|
} else {
|
|
#else
|
|
result = PyDict_GetItem(__pyx_d, name);
|
|
if (likely(result)) {
|
|
Py_INCREF(result);
|
|
} else {
|
|
#endif
|
|
#else
|
|
result = PyObject_GetItem(__pyx_d, name);
|
|
if (!result) {
|
|
PyErr_Clear();
|
|
#endif
|
|
result = __Pyx_GetBuiltinName(name);
|
|
}
|
|
return result;
|
|
}
|
|
|
|
/* GetItemInt */
|
|
static PyObject *__Pyx_GetItemInt_Generic(PyObject *o, PyObject* j) {
|
|
PyObject *r;
|
|
if (!j) return NULL;
|
|
r = PyObject_GetItem(o, j);
|
|
Py_DECREF(j);
|
|
return r;
|
|
}
|
|
static CYTHON_INLINE PyObject *__Pyx_GetItemInt_List_Fast(PyObject *o, Py_ssize_t i,
|
|
CYTHON_NCP_UNUSED int wraparound,
|
|
CYTHON_NCP_UNUSED int boundscheck) {
|
|
#if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
|
|
Py_ssize_t wrapped_i = i;
|
|
if (wraparound & unlikely(i < 0)) {
|
|
wrapped_i += PyList_GET_SIZE(o);
|
|
}
|
|
if ((!boundscheck) || likely((0 <= wrapped_i) & (wrapped_i < PyList_GET_SIZE(o)))) {
|
|
PyObject *r = PyList_GET_ITEM(o, wrapped_i);
|
|
Py_INCREF(r);
|
|
return r;
|
|
}
|
|
return __Pyx_GetItemInt_Generic(o, PyInt_FromSsize_t(i));
|
|
#else
|
|
return PySequence_GetItem(o, i);
|
|
#endif
|
|
}
|
|
static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Tuple_Fast(PyObject *o, Py_ssize_t i,
|
|
CYTHON_NCP_UNUSED int wraparound,
|
|
CYTHON_NCP_UNUSED int boundscheck) {
|
|
#if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
|
|
Py_ssize_t wrapped_i = i;
|
|
if (wraparound & unlikely(i < 0)) {
|
|
wrapped_i += PyTuple_GET_SIZE(o);
|
|
}
|
|
if ((!boundscheck) || likely((0 <= wrapped_i) & (wrapped_i < PyTuple_GET_SIZE(o)))) {
|
|
PyObject *r = PyTuple_GET_ITEM(o, wrapped_i);
|
|
Py_INCREF(r);
|
|
return r;
|
|
}
|
|
return __Pyx_GetItemInt_Generic(o, PyInt_FromSsize_t(i));
|
|
#else
|
|
return PySequence_GetItem(o, i);
|
|
#endif
|
|
}
|
|
static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Fast(PyObject *o, Py_ssize_t i, int is_list,
|
|
CYTHON_NCP_UNUSED int wraparound,
|
|
CYTHON_NCP_UNUSED int boundscheck) {
|
|
#if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS && CYTHON_USE_TYPE_SLOTS
|
|
if (is_list || PyList_CheckExact(o)) {
|
|
Py_ssize_t n = ((!wraparound) | likely(i >= 0)) ? i : i + PyList_GET_SIZE(o);
|
|
if ((!boundscheck) || (likely((n >= 0) & (n < PyList_GET_SIZE(o))))) {
|
|
PyObject *r = PyList_GET_ITEM(o, n);
|
|
Py_INCREF(r);
|
|
return r;
|
|
}
|
|
}
|
|
else if (PyTuple_CheckExact(o)) {
|
|
Py_ssize_t n = ((!wraparound) | likely(i >= 0)) ? i : i + PyTuple_GET_SIZE(o);
|
|
if ((!boundscheck) || likely((n >= 0) & (n < PyTuple_GET_SIZE(o)))) {
|
|
PyObject *r = PyTuple_GET_ITEM(o, n);
|
|
Py_INCREF(r);
|
|
return r;
|
|
}
|
|
} else {
|
|
PySequenceMethods *m = Py_TYPE(o)->tp_as_sequence;
|
|
if (likely(m && m->sq_item)) {
|
|
if (wraparound && unlikely(i < 0) && likely(m->sq_length)) {
|
|
Py_ssize_t l = m->sq_length(o);
|
|
if (likely(l >= 0)) {
|
|
i += l;
|
|
} else {
|
|
if (!PyErr_ExceptionMatches(PyExc_OverflowError))
|
|
return NULL;
|
|
PyErr_Clear();
|
|
}
|
|
}
|
|
return m->sq_item(o, i);
|
|
}
|
|
}
|
|
#else
|
|
if (is_list || PySequence_Check(o)) {
|
|
return PySequence_GetItem(o, i);
|
|
}
|
|
#endif
|
|
return __Pyx_GetItemInt_Generic(o, PyInt_FromSsize_t(i));
|
|
}
|
|
|
|
/* ObjectGetItem */
|
|
#if CYTHON_USE_TYPE_SLOTS
|
|
static PyObject *__Pyx_PyObject_GetIndex(PyObject *obj, PyObject* index) {
|
|
PyObject *runerr;
|
|
Py_ssize_t key_value;
|
|
PySequenceMethods *m = Py_TYPE(obj)->tp_as_sequence;
|
|
if (unlikely(!(m && m->sq_item))) {
|
|
PyErr_Format(PyExc_TypeError, "'%.200s' object is not subscriptable", Py_TYPE(obj)->tp_name);
|
|
return NULL;
|
|
}
|
|
key_value = __Pyx_PyIndex_AsSsize_t(index);
|
|
if (likely(key_value != -1 || !(runerr = PyErr_Occurred()))) {
|
|
return __Pyx_GetItemInt_Fast(obj, key_value, 0, 1, 1);
|
|
}
|
|
if (PyErr_GivenExceptionMatches(runerr, PyExc_OverflowError)) {
|
|
PyErr_Clear();
|
|
PyErr_Format(PyExc_IndexError, "cannot fit '%.200s' into an index-sized integer", Py_TYPE(index)->tp_name);
|
|
}
|
|
return NULL;
|
|
}
|
|
static PyObject *__Pyx_PyObject_GetItem(PyObject *obj, PyObject* key) {
|
|
PyMappingMethods *m = Py_TYPE(obj)->tp_as_mapping;
|
|
if (likely(m && m->mp_subscript)) {
|
|
return m->mp_subscript(obj, key);
|
|
}
|
|
return __Pyx_PyObject_GetIndex(obj, key);
|
|
}
|
|
#endif
|
|
|
|
/* PyFunctionFastCall */
|
|
#if CYTHON_FAST_PYCALL
|
|
#include "frameobject.h"
|
|
static PyObject* __Pyx_PyFunction_FastCallNoKw(PyCodeObject *co, PyObject **args, Py_ssize_t na,
|
|
PyObject *globals) {
|
|
PyFrameObject *f;
|
|
PyThreadState *tstate = __Pyx_PyThreadState_Current;
|
|
PyObject **fastlocals;
|
|
Py_ssize_t i;
|
|
PyObject *result;
|
|
assert(globals != NULL);
|
|
/* XXX Perhaps we should create a specialized
|
|
PyFrame_New() that doesn't take locals, but does
|
|
take builtins without sanity checking them.
|
|
*/
|
|
assert(tstate != NULL);
|
|
f = PyFrame_New(tstate, co, globals, NULL);
|
|
if (f == NULL) {
|
|
return NULL;
|
|
}
|
|
fastlocals = f->f_localsplus;
|
|
for (i = 0; i < na; i++) {
|
|
Py_INCREF(*args);
|
|
fastlocals[i] = *args++;
|
|
}
|
|
result = PyEval_EvalFrameEx(f,0);
|
|
++tstate->recursion_depth;
|
|
Py_DECREF(f);
|
|
--tstate->recursion_depth;
|
|
return result;
|
|
}
|
|
#if 1 || PY_VERSION_HEX < 0x030600B1
|
|
static PyObject *__Pyx_PyFunction_FastCallDict(PyObject *func, PyObject **args, int nargs, PyObject *kwargs) {
|
|
PyCodeObject *co = (PyCodeObject *)PyFunction_GET_CODE(func);
|
|
PyObject *globals = PyFunction_GET_GLOBALS(func);
|
|
PyObject *argdefs = PyFunction_GET_DEFAULTS(func);
|
|
PyObject *closure;
|
|
#if PY_MAJOR_VERSION >= 3
|
|
PyObject *kwdefs;
|
|
#endif
|
|
PyObject *kwtuple, **k;
|
|
PyObject **d;
|
|
Py_ssize_t nd;
|
|
Py_ssize_t nk;
|
|
PyObject *result;
|
|
assert(kwargs == NULL || PyDict_Check(kwargs));
|
|
nk = kwargs ? PyDict_Size(kwargs) : 0;
|
|
if (Py_EnterRecursiveCall((char*)" while calling a Python object")) {
|
|
return NULL;
|
|
}
|
|
if (
|
|
#if PY_MAJOR_VERSION >= 3
|
|
co->co_kwonlyargcount == 0 &&
|
|
#endif
|
|
likely(kwargs == NULL || nk == 0) &&
|
|
co->co_flags == (CO_OPTIMIZED | CO_NEWLOCALS | CO_NOFREE)) {
|
|
if (argdefs == NULL && co->co_argcount == nargs) {
|
|
result = __Pyx_PyFunction_FastCallNoKw(co, args, nargs, globals);
|
|
goto done;
|
|
}
|
|
else if (nargs == 0 && argdefs != NULL
|
|
&& co->co_argcount == Py_SIZE(argdefs)) {
|
|
/* function called with no arguments, but all parameters have
|
|
a default value: use default values as arguments .*/
|
|
args = &PyTuple_GET_ITEM(argdefs, 0);
|
|
result =__Pyx_PyFunction_FastCallNoKw(co, args, Py_SIZE(argdefs), globals);
|
|
goto done;
|
|
}
|
|
}
|
|
if (kwargs != NULL) {
|
|
Py_ssize_t pos, i;
|
|
kwtuple = PyTuple_New(2 * nk);
|
|
if (kwtuple == NULL) {
|
|
result = NULL;
|
|
goto done;
|
|
}
|
|
k = &PyTuple_GET_ITEM(kwtuple, 0);
|
|
pos = i = 0;
|
|
while (PyDict_Next(kwargs, &pos, &k[i], &k[i+1])) {
|
|
Py_INCREF(k[i]);
|
|
Py_INCREF(k[i+1]);
|
|
i += 2;
|
|
}
|
|
nk = i / 2;
|
|
}
|
|
else {
|
|
kwtuple = NULL;
|
|
k = NULL;
|
|
}
|
|
closure = PyFunction_GET_CLOSURE(func);
|
|
#if PY_MAJOR_VERSION >= 3
|
|
kwdefs = PyFunction_GET_KW_DEFAULTS(func);
|
|
#endif
|
|
if (argdefs != NULL) {
|
|
d = &PyTuple_GET_ITEM(argdefs, 0);
|
|
nd = Py_SIZE(argdefs);
|
|
}
|
|
else {
|
|
d = NULL;
|
|
nd = 0;
|
|
}
|
|
#if PY_MAJOR_VERSION >= 3
|
|
result = PyEval_EvalCodeEx((PyObject*)co, globals, (PyObject *)NULL,
|
|
args, nargs,
|
|
k, (int)nk,
|
|
d, (int)nd, kwdefs, closure);
|
|
#else
|
|
result = PyEval_EvalCodeEx(co, globals, (PyObject *)NULL,
|
|
args, nargs,
|
|
k, (int)nk,
|
|
d, (int)nd, closure);
|
|
#endif
|
|
Py_XDECREF(kwtuple);
|
|
done:
|
|
Py_LeaveRecursiveCall();
|
|
return result;
|
|
}
|
|
#endif
|
|
#endif
|
|
|
|
/* PyCFunctionFastCall */
|
|
#if CYTHON_FAST_PYCCALL
|
|
static CYTHON_INLINE PyObject * __Pyx_PyCFunction_FastCall(PyObject *func_obj, PyObject **args, Py_ssize_t nargs) {
|
|
PyCFunctionObject *func = (PyCFunctionObject*)func_obj;
|
|
PyCFunction meth = PyCFunction_GET_FUNCTION(func);
|
|
PyObject *self = PyCFunction_GET_SELF(func);
|
|
int flags = PyCFunction_GET_FLAGS(func);
|
|
assert(PyCFunction_Check(func));
|
|
assert(METH_FASTCALL == (flags & ~(METH_CLASS | METH_STATIC | METH_COEXIST | METH_KEYWORDS)));
|
|
assert(nargs >= 0);
|
|
assert(nargs == 0 || args != NULL);
|
|
/* _PyCFunction_FastCallDict() must not be called with an exception set,
|
|
because it may clear it (directly or indirectly) and so the
|
|
caller loses its exception */
|
|
assert(!PyErr_Occurred());
|
|
if ((PY_VERSION_HEX < 0x030700A0) || unlikely(flags & METH_KEYWORDS)) {
|
|
return (*((__Pyx_PyCFunctionFastWithKeywords)meth)) (self, args, nargs, NULL);
|
|
} else {
|
|
return (*((__Pyx_PyCFunctionFast)meth)) (self, args, nargs);
|
|
}
|
|
}
|
|
#endif
|
|
|
|
/* DictGetItem */
|
|
#if PY_MAJOR_VERSION >= 3 && !CYTHON_COMPILING_IN_PYPY
|
|
static PyObject *__Pyx_PyDict_GetItem(PyObject *d, PyObject* key) {
|
|
PyObject *value;
|
|
value = PyDict_GetItemWithError(d, key);
|
|
if (unlikely(!value)) {
|
|
if (!PyErr_Occurred()) {
|
|
PyObject* args = PyTuple_Pack(1, key);
|
|
if (likely(args))
|
|
PyErr_SetObject(PyExc_KeyError, args);
|
|
Py_XDECREF(args);
|
|
}
|
|
return NULL;
|
|
}
|
|
Py_INCREF(value);
|
|
return value;
|
|
}
|
|
#endif
|
|
|
|
/* PyErrFetchRestore */
|
|
#if CYTHON_FAST_THREAD_STATE
|
|
static CYTHON_INLINE void __Pyx_ErrRestoreInState(PyThreadState *tstate, PyObject *type, PyObject *value, PyObject *tb) {
|
|
PyObject *tmp_type, *tmp_value, *tmp_tb;
|
|
tmp_type = tstate->curexc_type;
|
|
tmp_value = tstate->curexc_value;
|
|
tmp_tb = tstate->curexc_traceback;
|
|
tstate->curexc_type = type;
|
|
tstate->curexc_value = value;
|
|
tstate->curexc_traceback = tb;
|
|
Py_XDECREF(tmp_type);
|
|
Py_XDECREF(tmp_value);
|
|
Py_XDECREF(tmp_tb);
|
|
}
|
|
static CYTHON_INLINE void __Pyx_ErrFetchInState(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb) {
|
|
*type = tstate->curexc_type;
|
|
*value = tstate->curexc_value;
|
|
*tb = tstate->curexc_traceback;
|
|
tstate->curexc_type = 0;
|
|
tstate->curexc_value = 0;
|
|
tstate->curexc_traceback = 0;
|
|
}
|
|
#endif
|
|
|
|
/* RaiseException */
|
|
#if PY_MAJOR_VERSION < 3
|
|
static void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb,
|
|
CYTHON_UNUSED PyObject *cause) {
|
|
__Pyx_PyThreadState_declare
|
|
Py_XINCREF(type);
|
|
if (!value || value == Py_None)
|
|
value = NULL;
|
|
else
|
|
Py_INCREF(value);
|
|
if (!tb || tb == Py_None)
|
|
tb = NULL;
|
|
else {
|
|
Py_INCREF(tb);
|
|
if (!PyTraceBack_Check(tb)) {
|
|
PyErr_SetString(PyExc_TypeError,
|
|
"raise: arg 3 must be a traceback or None");
|
|
goto raise_error;
|
|
}
|
|
}
|
|
if (PyType_Check(type)) {
|
|
#if CYTHON_COMPILING_IN_PYPY
|
|
if (!value) {
|
|
Py_INCREF(Py_None);
|
|
value = Py_None;
|
|
}
|
|
#endif
|
|
PyErr_NormalizeException(&type, &value, &tb);
|
|
} else {
|
|
if (value) {
|
|
PyErr_SetString(PyExc_TypeError,
|
|
"instance exception may not have a separate value");
|
|
goto raise_error;
|
|
}
|
|
value = type;
|
|
type = (PyObject*) Py_TYPE(type);
|
|
Py_INCREF(type);
|
|
if (!PyType_IsSubtype((PyTypeObject *)type, (PyTypeObject *)PyExc_BaseException)) {
|
|
PyErr_SetString(PyExc_TypeError,
|
|
"raise: exception class must be a subclass of BaseException");
|
|
goto raise_error;
|
|
}
|
|
}
|
|
__Pyx_PyThreadState_assign
|
|
__Pyx_ErrRestore(type, value, tb);
|
|
return;
|
|
raise_error:
|
|
Py_XDECREF(value);
|
|
Py_XDECREF(type);
|
|
Py_XDECREF(tb);
|
|
return;
|
|
}
|
|
#else
|
|
static void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb, PyObject *cause) {
|
|
PyObject* owned_instance = NULL;
|
|
if (tb == Py_None) {
|
|
tb = 0;
|
|
} else if (tb && !PyTraceBack_Check(tb)) {
|
|
PyErr_SetString(PyExc_TypeError,
|
|
"raise: arg 3 must be a traceback or None");
|
|
goto bad;
|
|
}
|
|
if (value == Py_None)
|
|
value = 0;
|
|
if (PyExceptionInstance_Check(type)) {
|
|
if (value) {
|
|
PyErr_SetString(PyExc_TypeError,
|
|
"instance exception may not have a separate value");
|
|
goto bad;
|
|
}
|
|
value = type;
|
|
type = (PyObject*) Py_TYPE(value);
|
|
} else if (PyExceptionClass_Check(type)) {
|
|
PyObject *instance_class = NULL;
|
|
if (value && PyExceptionInstance_Check(value)) {
|
|
instance_class = (PyObject*) Py_TYPE(value);
|
|
if (instance_class != type) {
|
|
int is_subclass = PyObject_IsSubclass(instance_class, type);
|
|
if (!is_subclass) {
|
|
instance_class = NULL;
|
|
} else if (unlikely(is_subclass == -1)) {
|
|
goto bad;
|
|
} else {
|
|
type = instance_class;
|
|
}
|
|
}
|
|
}
|
|
if (!instance_class) {
|
|
PyObject *args;
|
|
if (!value)
|
|
args = PyTuple_New(0);
|
|
else if (PyTuple_Check(value)) {
|
|
Py_INCREF(value);
|
|
args = value;
|
|
} else
|
|
args = PyTuple_Pack(1, value);
|
|
if (!args)
|
|
goto bad;
|
|
owned_instance = PyObject_Call(type, args, NULL);
|
|
Py_DECREF(args);
|
|
if (!owned_instance)
|
|
goto bad;
|
|
value = owned_instance;
|
|
if (!PyExceptionInstance_Check(value)) {
|
|
PyErr_Format(PyExc_TypeError,
|
|
"calling %R should have returned an instance of "
|
|
"BaseException, not %R",
|
|
type, Py_TYPE(value));
|
|
goto bad;
|
|
}
|
|
}
|
|
} else {
|
|
PyErr_SetString(PyExc_TypeError,
|
|
"raise: exception class must be a subclass of BaseException");
|
|
goto bad;
|
|
}
|
|
if (cause) {
|
|
PyObject *fixed_cause;
|
|
if (cause == Py_None) {
|
|
fixed_cause = NULL;
|
|
} else if (PyExceptionClass_Check(cause)) {
|
|
fixed_cause = PyObject_CallObject(cause, NULL);
|
|
if (fixed_cause == NULL)
|
|
goto bad;
|
|
} else if (PyExceptionInstance_Check(cause)) {
|
|
fixed_cause = cause;
|
|
Py_INCREF(fixed_cause);
|
|
} else {
|
|
PyErr_SetString(PyExc_TypeError,
|
|
"exception causes must derive from "
|
|
"BaseException");
|
|
goto bad;
|
|
}
|
|
PyException_SetCause(value, fixed_cause);
|
|
}
|
|
PyErr_SetObject(type, value);
|
|
if (tb) {
|
|
#if CYTHON_COMPILING_IN_PYPY
|
|
PyObject *tmp_type, *tmp_value, *tmp_tb;
|
|
PyErr_Fetch(&tmp_type, &tmp_value, &tmp_tb);
|
|
Py_INCREF(tb);
|
|
PyErr_Restore(tmp_type, tmp_value, tb);
|
|
Py_XDECREF(tmp_tb);
|
|
#else
|
|
PyThreadState *tstate = __Pyx_PyThreadState_Current;
|
|
PyObject* tmp_tb = tstate->curexc_traceback;
|
|
if (tb != tmp_tb) {
|
|
Py_INCREF(tb);
|
|
tstate->curexc_traceback = tb;
|
|
Py_XDECREF(tmp_tb);
|
|
}
|
|
#endif
|
|
}
|
|
bad:
|
|
Py_XDECREF(owned_instance);
|
|
return;
|
|
}
|
|
#endif
|
|
|
|
/* PyObjectCallMethO */
|
|
#if CYTHON_COMPILING_IN_CPYTHON
|
|
static CYTHON_INLINE PyObject* __Pyx_PyObject_CallMethO(PyObject *func, PyObject *arg) {
|
|
PyObject *self, *result;
|
|
PyCFunction cfunc;
|
|
cfunc = PyCFunction_GET_FUNCTION(func);
|
|
self = PyCFunction_GET_SELF(func);
|
|
if (unlikely(Py_EnterRecursiveCall((char*)" while calling a Python object")))
|
|
return NULL;
|
|
result = cfunc(self, arg);
|
|
Py_LeaveRecursiveCall();
|
|
if (unlikely(!result) && unlikely(!PyErr_Occurred())) {
|
|
PyErr_SetString(
|
|
PyExc_SystemError,
|
|
"NULL result without error in PyObject_Call");
|
|
}
|
|
return result;
|
|
}
|
|
#endif
|
|
|
|
/* PyObjectCallOneArg */
|
|
#if CYTHON_COMPILING_IN_CPYTHON
|
|
static PyObject* __Pyx__PyObject_CallOneArg(PyObject *func, PyObject *arg) {
|
|
PyObject *result;
|
|
PyObject *args = PyTuple_New(1);
|
|
if (unlikely(!args)) return NULL;
|
|
Py_INCREF(arg);
|
|
PyTuple_SET_ITEM(args, 0, arg);
|
|
result = __Pyx_PyObject_Call(func, args, NULL);
|
|
Py_DECREF(args);
|
|
return result;
|
|
}
|
|
static CYTHON_INLINE PyObject* __Pyx_PyObject_CallOneArg(PyObject *func, PyObject *arg) {
|
|
#if CYTHON_FAST_PYCALL
|
|
if (PyFunction_Check(func)) {
|
|
return __Pyx_PyFunction_FastCall(func, &arg, 1);
|
|
}
|
|
#endif
|
|
if (likely(PyCFunction_Check(func))) {
|
|
if (likely(PyCFunction_GET_FLAGS(func) & METH_O)) {
|
|
return __Pyx_PyObject_CallMethO(func, arg);
|
|
#if CYTHON_FAST_PYCCALL
|
|
} else if (PyCFunction_GET_FLAGS(func) & METH_FASTCALL) {
|
|
return __Pyx_PyCFunction_FastCall(func, &arg, 1);
|
|
#endif
|
|
}
|
|
}
|
|
return __Pyx__PyObject_CallOneArg(func, arg);
|
|
}
|
|
#else
|
|
static CYTHON_INLINE PyObject* __Pyx_PyObject_CallOneArg(PyObject *func, PyObject *arg) {
|
|
PyObject *result;
|
|
PyObject *args = PyTuple_Pack(1, arg);
|
|
if (unlikely(!args)) return NULL;
|
|
result = __Pyx_PyObject_Call(func, args, NULL);
|
|
Py_DECREF(args);
|
|
return result;
|
|
}
|
|
#endif
|
|
|
|
/* RaiseTooManyValuesToUnpack */
|
|
static CYTHON_INLINE void __Pyx_RaiseTooManyValuesError(Py_ssize_t expected) {
|
|
PyErr_Format(PyExc_ValueError,
|
|
"too many values to unpack (expected %" CYTHON_FORMAT_SSIZE_T "d)", expected);
|
|
}
|
|
|
|
/* RaiseNeedMoreValuesToUnpack */
|
|
static CYTHON_INLINE void __Pyx_RaiseNeedMoreValuesError(Py_ssize_t index) {
|
|
PyErr_Format(PyExc_ValueError,
|
|
"need more than %" CYTHON_FORMAT_SSIZE_T "d value%.1s to unpack",
|
|
index, (index == 1) ? "" : "s");
|
|
}
|
|
|
|
/* RaiseNoneIterError */
|
|
static CYTHON_INLINE void __Pyx_RaiseNoneNotIterableError(void) {
|
|
PyErr_SetString(PyExc_TypeError, "'NoneType' object is not iterable");
|
|
}
|
|
|
|
/* SaveResetException */
|
|
#if CYTHON_FAST_THREAD_STATE
|
|
static CYTHON_INLINE void __Pyx__ExceptionSave(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb) {
|
|
#if PY_VERSION_HEX >= 0x030700A2
|
|
*type = tstate->exc_state.exc_type;
|
|
*value = tstate->exc_state.exc_value;
|
|
*tb = tstate->exc_state.exc_traceback;
|
|
#else
|
|
*type = tstate->exc_type;
|
|
*value = tstate->exc_value;
|
|
*tb = tstate->exc_traceback;
|
|
#endif
|
|
Py_XINCREF(*type);
|
|
Py_XINCREF(*value);
|
|
Py_XINCREF(*tb);
|
|
}
|
|
static CYTHON_INLINE void __Pyx__ExceptionReset(PyThreadState *tstate, PyObject *type, PyObject *value, PyObject *tb) {
|
|
PyObject *tmp_type, *tmp_value, *tmp_tb;
|
|
#if PY_VERSION_HEX >= 0x030700A2
|
|
tmp_type = tstate->exc_state.exc_type;
|
|
tmp_value = tstate->exc_state.exc_value;
|
|
tmp_tb = tstate->exc_state.exc_traceback;
|
|
tstate->exc_state.exc_type = type;
|
|
tstate->exc_state.exc_value = value;
|
|
tstate->exc_state.exc_traceback = tb;
|
|
#else
|
|
tmp_type = tstate->exc_type;
|
|
tmp_value = tstate->exc_value;
|
|
tmp_tb = tstate->exc_traceback;
|
|
tstate->exc_type = type;
|
|
tstate->exc_value = value;
|
|
tstate->exc_traceback = tb;
|
|
#endif
|
|
Py_XDECREF(tmp_type);
|
|
Py_XDECREF(tmp_value);
|
|
Py_XDECREF(tmp_tb);
|
|
}
|
|
#endif
|
|
|
|
/* PyErrExceptionMatches */
|
|
#if CYTHON_FAST_THREAD_STATE
|
|
static int __Pyx_PyErr_ExceptionMatchesTuple(PyObject *exc_type, PyObject *tuple) {
|
|
Py_ssize_t i, n;
|
|
n = PyTuple_GET_SIZE(tuple);
|
|
#if PY_MAJOR_VERSION >= 3
|
|
for (i=0; i<n; i++) {
|
|
if (exc_type == PyTuple_GET_ITEM(tuple, i)) return 1;
|
|
}
|
|
#endif
|
|
for (i=0; i<n; i++) {
|
|
if (__Pyx_PyErr_GivenExceptionMatches(exc_type, PyTuple_GET_ITEM(tuple, i))) return 1;
|
|
}
|
|
return 0;
|
|
}
|
|
static CYTHON_INLINE int __Pyx_PyErr_ExceptionMatchesInState(PyThreadState* tstate, PyObject* err) {
|
|
PyObject *exc_type = tstate->curexc_type;
|
|
if (exc_type == err) return 1;
|
|
if (unlikely(!exc_type)) return 0;
|
|
if (unlikely(PyTuple_Check(err)))
|
|
return __Pyx_PyErr_ExceptionMatchesTuple(exc_type, err);
|
|
return __Pyx_PyErr_GivenExceptionMatches(exc_type, err);
|
|
}
|
|
#endif
|
|
|
|
/* GetException */
|
|
#if CYTHON_FAST_THREAD_STATE
|
|
static int __Pyx__GetException(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb) {
|
|
#else
|
|
static int __Pyx_GetException(PyObject **type, PyObject **value, PyObject **tb) {
|
|
#endif
|
|
PyObject *local_type, *local_value, *local_tb;
|
|
#if CYTHON_FAST_THREAD_STATE
|
|
PyObject *tmp_type, *tmp_value, *tmp_tb;
|
|
local_type = tstate->curexc_type;
|
|
local_value = tstate->curexc_value;
|
|
local_tb = tstate->curexc_traceback;
|
|
tstate->curexc_type = 0;
|
|
tstate->curexc_value = 0;
|
|
tstate->curexc_traceback = 0;
|
|
#else
|
|
PyErr_Fetch(&local_type, &local_value, &local_tb);
|
|
#endif
|
|
PyErr_NormalizeException(&local_type, &local_value, &local_tb);
|
|
#if CYTHON_FAST_THREAD_STATE
|
|
if (unlikely(tstate->curexc_type))
|
|
#else
|
|
if (unlikely(PyErr_Occurred()))
|
|
#endif
|
|
goto bad;
|
|
#if PY_MAJOR_VERSION >= 3
|
|
if (local_tb) {
|
|
if (unlikely(PyException_SetTraceback(local_value, local_tb) < 0))
|
|
goto bad;
|
|
}
|
|
#endif
|
|
Py_XINCREF(local_tb);
|
|
Py_XINCREF(local_type);
|
|
Py_XINCREF(local_value);
|
|
*type = local_type;
|
|
*value = local_value;
|
|
*tb = local_tb;
|
|
#if CYTHON_FAST_THREAD_STATE
|
|
#if PY_VERSION_HEX >= 0x030700A2
|
|
tmp_type = tstate->exc_state.exc_type;
|
|
tmp_value = tstate->exc_state.exc_value;
|
|
tmp_tb = tstate->exc_state.exc_traceback;
|
|
tstate->exc_state.exc_type = local_type;
|
|
tstate->exc_state.exc_value = local_value;
|
|
tstate->exc_state.exc_traceback = local_tb;
|
|
#else
|
|
tmp_type = tstate->exc_type;
|
|
tmp_value = tstate->exc_value;
|
|
tmp_tb = tstate->exc_traceback;
|
|
tstate->exc_type = local_type;
|
|
tstate->exc_value = local_value;
|
|
tstate->exc_traceback = local_tb;
|
|
#endif
|
|
Py_XDECREF(tmp_type);
|
|
Py_XDECREF(tmp_value);
|
|
Py_XDECREF(tmp_tb);
|
|
#else
|
|
PyErr_SetExcInfo(local_type, local_value, local_tb);
|
|
#endif
|
|
return 0;
|
|
bad:
|
|
*type = 0;
|
|
*value = 0;
|
|
*tb = 0;
|
|
Py_XDECREF(local_type);
|
|
Py_XDECREF(local_value);
|
|
Py_XDECREF(local_tb);
|
|
return -1;
|
|
}
|
|
|
|
/* Import */
|
|
static PyObject *__Pyx_Import(PyObject *name, PyObject *from_list, int level) {
|
|
PyObject *empty_list = 0;
|
|
PyObject *module = 0;
|
|
PyObject *global_dict = 0;
|
|
PyObject *empty_dict = 0;
|
|
PyObject *list;
|
|
#if PY_MAJOR_VERSION < 3
|
|
PyObject *py_import;
|
|
py_import = __Pyx_PyObject_GetAttrStr(__pyx_b, __pyx_n_s_import);
|
|
if (!py_import)
|
|
goto bad;
|
|
#endif
|
|
if (from_list)
|
|
list = from_list;
|
|
else {
|
|
empty_list = PyList_New(0);
|
|
if (!empty_list)
|
|
goto bad;
|
|
list = empty_list;
|
|
}
|
|
global_dict = PyModule_GetDict(__pyx_m);
|
|
if (!global_dict)
|
|
goto bad;
|
|
empty_dict = PyDict_New();
|
|
if (!empty_dict)
|
|
goto bad;
|
|
{
|
|
#if PY_MAJOR_VERSION >= 3
|
|
if (level == -1) {
|
|
if (strchr(__Pyx_MODULE_NAME, '.')) {
|
|
module = PyImport_ImportModuleLevelObject(
|
|
name, global_dict, empty_dict, list, 1);
|
|
if (!module) {
|
|
if (!PyErr_ExceptionMatches(PyExc_ImportError))
|
|
goto bad;
|
|
PyErr_Clear();
|
|
}
|
|
}
|
|
level = 0;
|
|
}
|
|
#endif
|
|
if (!module) {
|
|
#if PY_MAJOR_VERSION < 3
|
|
PyObject *py_level = PyInt_FromLong(level);
|
|
if (!py_level)
|
|
goto bad;
|
|
module = PyObject_CallFunctionObjArgs(py_import,
|
|
name, global_dict, empty_dict, list, py_level, NULL);
|
|
Py_DECREF(py_level);
|
|
#else
|
|
module = PyImport_ImportModuleLevelObject(
|
|
name, global_dict, empty_dict, list, level);
|
|
#endif
|
|
}
|
|
}
|
|
bad:
|
|
#if PY_MAJOR_VERSION < 3
|
|
Py_XDECREF(py_import);
|
|
#endif
|
|
Py_XDECREF(empty_list);
|
|
Py_XDECREF(empty_dict);
|
|
return module;
|
|
}
|
|
|
|
/* ImportFrom */
|
|
static PyObject* __Pyx_ImportFrom(PyObject* module, PyObject* name) {
|
|
PyObject* value = __Pyx_PyObject_GetAttrStr(module, name);
|
|
if (unlikely(!value) && PyErr_ExceptionMatches(PyExc_AttributeError)) {
|
|
PyErr_Format(PyExc_ImportError,
|
|
#if PY_MAJOR_VERSION < 3
|
|
"cannot import name %.230s", PyString_AS_STRING(name));
|
|
#else
|
|
"cannot import name %S", name);
|
|
#endif
|
|
}
|
|
return value;
|
|
}
|
|
|
|
/* CLineInTraceback */
|
|
#ifndef CYTHON_CLINE_IN_TRACEBACK
|
|
static int __Pyx_CLineForTraceback(CYTHON_UNUSED PyThreadState *tstate, int c_line) {
|
|
PyObject *use_cline;
|
|
PyObject *ptype, *pvalue, *ptraceback;
|
|
#if CYTHON_COMPILING_IN_CPYTHON
|
|
PyObject **cython_runtime_dict;
|
|
#endif
|
|
if (unlikely(!__pyx_cython_runtime)) {
|
|
return c_line;
|
|
}
|
|
__Pyx_ErrFetchInState(tstate, &ptype, &pvalue, &ptraceback);
|
|
#if CYTHON_COMPILING_IN_CPYTHON
|
|
cython_runtime_dict = _PyObject_GetDictPtr(__pyx_cython_runtime);
|
|
if (likely(cython_runtime_dict)) {
|
|
use_cline = __Pyx_PyDict_GetItemStr(*cython_runtime_dict, __pyx_n_s_cline_in_traceback);
|
|
} else
|
|
#endif
|
|
{
|
|
PyObject *use_cline_obj = __Pyx_PyObject_GetAttrStr(__pyx_cython_runtime, __pyx_n_s_cline_in_traceback);
|
|
if (use_cline_obj) {
|
|
use_cline = PyObject_Not(use_cline_obj) ? Py_False : Py_True;
|
|
Py_DECREF(use_cline_obj);
|
|
} else {
|
|
PyErr_Clear();
|
|
use_cline = NULL;
|
|
}
|
|
}
|
|
if (!use_cline) {
|
|
c_line = 0;
|
|
PyObject_SetAttr(__pyx_cython_runtime, __pyx_n_s_cline_in_traceback, Py_False);
|
|
}
|
|
else if (PyObject_Not(use_cline) != 0) {
|
|
c_line = 0;
|
|
}
|
|
__Pyx_ErrRestoreInState(tstate, ptype, pvalue, ptraceback);
|
|
return c_line;
|
|
}
|
|
#endif
|
|
|
|
/* CodeObjectCache */
|
|
static int __pyx_bisect_code_objects(__Pyx_CodeObjectCacheEntry* entries, int count, int code_line) {
|
|
int start = 0, mid = 0, end = count - 1;
|
|
if (end >= 0 && code_line > entries[end].code_line) {
|
|
return count;
|
|
}
|
|
while (start < end) {
|
|
mid = start + (end - start) / 2;
|
|
if (code_line < entries[mid].code_line) {
|
|
end = mid;
|
|
} else if (code_line > entries[mid].code_line) {
|
|
start = mid + 1;
|
|
} else {
|
|
return mid;
|
|
}
|
|
}
|
|
if (code_line <= entries[mid].code_line) {
|
|
return mid;
|
|
} else {
|
|
return mid + 1;
|
|
}
|
|
}
|
|
static PyCodeObject *__pyx_find_code_object(int code_line) {
|
|
PyCodeObject* code_object;
|
|
int pos;
|
|
if (unlikely(!code_line) || unlikely(!__pyx_code_cache.entries)) {
|
|
return NULL;
|
|
}
|
|
pos = __pyx_bisect_code_objects(__pyx_code_cache.entries, __pyx_code_cache.count, code_line);
|
|
if (unlikely(pos >= __pyx_code_cache.count) || unlikely(__pyx_code_cache.entries[pos].code_line != code_line)) {
|
|
return NULL;
|
|
}
|
|
code_object = __pyx_code_cache.entries[pos].code_object;
|
|
Py_INCREF(code_object);
|
|
return code_object;
|
|
}
|
|
static void __pyx_insert_code_object(int code_line, PyCodeObject* code_object) {
|
|
int pos, i;
|
|
__Pyx_CodeObjectCacheEntry* entries = __pyx_code_cache.entries;
|
|
if (unlikely(!code_line)) {
|
|
return;
|
|
}
|
|
if (unlikely(!entries)) {
|
|
entries = (__Pyx_CodeObjectCacheEntry*)PyMem_Malloc(64*sizeof(__Pyx_CodeObjectCacheEntry));
|
|
if (likely(entries)) {
|
|
__pyx_code_cache.entries = entries;
|
|
__pyx_code_cache.max_count = 64;
|
|
__pyx_code_cache.count = 1;
|
|
entries[0].code_line = code_line;
|
|
entries[0].code_object = code_object;
|
|
Py_INCREF(code_object);
|
|
}
|
|
return;
|
|
}
|
|
pos = __pyx_bisect_code_objects(__pyx_code_cache.entries, __pyx_code_cache.count, code_line);
|
|
if ((pos < __pyx_code_cache.count) && unlikely(__pyx_code_cache.entries[pos].code_line == code_line)) {
|
|
PyCodeObject* tmp = entries[pos].code_object;
|
|
entries[pos].code_object = code_object;
|
|
Py_DECREF(tmp);
|
|
return;
|
|
}
|
|
if (__pyx_code_cache.count == __pyx_code_cache.max_count) {
|
|
int new_max = __pyx_code_cache.max_count + 64;
|
|
entries = (__Pyx_CodeObjectCacheEntry*)PyMem_Realloc(
|
|
__pyx_code_cache.entries, (size_t)new_max*sizeof(__Pyx_CodeObjectCacheEntry));
|
|
if (unlikely(!entries)) {
|
|
return;
|
|
}
|
|
__pyx_code_cache.entries = entries;
|
|
__pyx_code_cache.max_count = new_max;
|
|
}
|
|
for (i=__pyx_code_cache.count; i>pos; i--) {
|
|
entries[i] = entries[i-1];
|
|
}
|
|
entries[pos].code_line = code_line;
|
|
entries[pos].code_object = code_object;
|
|
__pyx_code_cache.count++;
|
|
Py_INCREF(code_object);
|
|
}
|
|
|
|
/* AddTraceback */
|
|
#include "compile.h"
|
|
#include "frameobject.h"
|
|
#include "traceback.h"
|
|
static PyCodeObject* __Pyx_CreateCodeObjectForTraceback(
|
|
const char *funcname, int c_line,
|
|
int py_line, const char *filename) {
|
|
PyCodeObject *py_code = 0;
|
|
PyObject *py_srcfile = 0;
|
|
PyObject *py_funcname = 0;
|
|
#if PY_MAJOR_VERSION < 3
|
|
py_srcfile = PyString_FromString(filename);
|
|
#else
|
|
py_srcfile = PyUnicode_FromString(filename);
|
|
#endif
|
|
if (!py_srcfile) goto bad;
|
|
if (c_line) {
|
|
#if PY_MAJOR_VERSION < 3
|
|
py_funcname = PyString_FromFormat( "%s (%s:%d)", funcname, __pyx_cfilenm, c_line);
|
|
#else
|
|
py_funcname = PyUnicode_FromFormat( "%s (%s:%d)", funcname, __pyx_cfilenm, c_line);
|
|
#endif
|
|
}
|
|
else {
|
|
#if PY_MAJOR_VERSION < 3
|
|
py_funcname = PyString_FromString(funcname);
|
|
#else
|
|
py_funcname = PyUnicode_FromString(funcname);
|
|
#endif
|
|
}
|
|
if (!py_funcname) goto bad;
|
|
py_code = __Pyx_PyCode_New(
|
|
0,
|
|
0,
|
|
0,
|
|
0,
|
|
0,
|
|
__pyx_empty_bytes, /*PyObject *code,*/
|
|
__pyx_empty_tuple, /*PyObject *consts,*/
|
|
__pyx_empty_tuple, /*PyObject *names,*/
|
|
__pyx_empty_tuple, /*PyObject *varnames,*/
|
|
__pyx_empty_tuple, /*PyObject *freevars,*/
|
|
__pyx_empty_tuple, /*PyObject *cellvars,*/
|
|
py_srcfile, /*PyObject *filename,*/
|
|
py_funcname, /*PyObject *name,*/
|
|
py_line,
|
|
__pyx_empty_bytes /*PyObject *lnotab*/
|
|
);
|
|
Py_DECREF(py_srcfile);
|
|
Py_DECREF(py_funcname);
|
|
return py_code;
|
|
bad:
|
|
Py_XDECREF(py_srcfile);
|
|
Py_XDECREF(py_funcname);
|
|
return NULL;
|
|
}
|
|
static void __Pyx_AddTraceback(const char *funcname, int c_line,
|
|
int py_line, const char *filename) {
|
|
PyCodeObject *py_code = 0;
|
|
PyFrameObject *py_frame = 0;
|
|
PyThreadState *tstate = __Pyx_PyThreadState_Current;
|
|
if (c_line) {
|
|
c_line = __Pyx_CLineForTraceback(tstate, c_line);
|
|
}
|
|
py_code = __pyx_find_code_object(c_line ? -c_line : py_line);
|
|
if (!py_code) {
|
|
py_code = __Pyx_CreateCodeObjectForTraceback(
|
|
funcname, c_line, py_line, filename);
|
|
if (!py_code) goto bad;
|
|
__pyx_insert_code_object(c_line ? -c_line : py_line, py_code);
|
|
}
|
|
py_frame = PyFrame_New(
|
|
tstate, /*PyThreadState *tstate,*/
|
|
py_code, /*PyCodeObject *code,*/
|
|
__pyx_d, /*PyObject *globals,*/
|
|
0 /*PyObject *locals*/
|
|
);
|
|
if (!py_frame) goto bad;
|
|
__Pyx_PyFrame_SetLineNumber(py_frame, py_line);
|
|
PyTraceBack_Here(py_frame);
|
|
bad:
|
|
Py_XDECREF(py_code);
|
|
Py_XDECREF(py_frame);
|
|
}
|
|
|
|
/* CIntToPy */
|
|
static CYTHON_INLINE PyObject* __Pyx_PyInt_From_int(int value) {
|
|
const int neg_one = (int) -1, const_zero = (int) 0;
|
|
const int is_unsigned = neg_one > const_zero;
|
|
if (is_unsigned) {
|
|
if (sizeof(int) < sizeof(long)) {
|
|
return PyInt_FromLong((long) value);
|
|
} else if (sizeof(int) <= sizeof(unsigned long)) {
|
|
return PyLong_FromUnsignedLong((unsigned long) value);
|
|
#ifdef HAVE_LONG_LONG
|
|
} else if (sizeof(int) <= sizeof(unsigned PY_LONG_LONG)) {
|
|
return PyLong_FromUnsignedLongLong((unsigned PY_LONG_LONG) value);
|
|
#endif
|
|
}
|
|
} else {
|
|
if (sizeof(int) <= sizeof(long)) {
|
|
return PyInt_FromLong((long) value);
|
|
#ifdef HAVE_LONG_LONG
|
|
} else if (sizeof(int) <= sizeof(PY_LONG_LONG)) {
|
|
return PyLong_FromLongLong((PY_LONG_LONG) value);
|
|
#endif
|
|
}
|
|
}
|
|
{
|
|
int one = 1; int little = (int)*(unsigned char *)&one;
|
|
unsigned char *bytes = (unsigned char *)&value;
|
|
return _PyLong_FromByteArray(bytes, sizeof(int),
|
|
little, !is_unsigned);
|
|
}
|
|
}
|
|
|
|
/* CIntFromPyVerify */
|
|
#define __PYX_VERIFY_RETURN_INT(target_type, func_type, func_value)\
|
|
__PYX__VERIFY_RETURN_INT(target_type, func_type, func_value, 0)
|
|
#define __PYX_VERIFY_RETURN_INT_EXC(target_type, func_type, func_value)\
|
|
__PYX__VERIFY_RETURN_INT(target_type, func_type, func_value, 1)
|
|
#define __PYX__VERIFY_RETURN_INT(target_type, func_type, func_value, exc)\
|
|
{\
|
|
func_type value = func_value;\
|
|
if (sizeof(target_type) < sizeof(func_type)) {\
|
|
if (unlikely(value != (func_type) (target_type) value)) {\
|
|
func_type zero = 0;\
|
|
if (exc && unlikely(value == (func_type)-1 && PyErr_Occurred()))\
|
|
return (target_type) -1;\
|
|
if (is_unsigned && unlikely(value < zero))\
|
|
goto raise_neg_overflow;\
|
|
else\
|
|
goto raise_overflow;\
|
|
}\
|
|
}\
|
|
return (target_type) value;\
|
|
}
|
|
|
|
/* CIntToPy */
|
|
static CYTHON_INLINE PyObject* __Pyx_PyInt_From_long(long value) {
|
|
const long neg_one = (long) -1, const_zero = (long) 0;
|
|
const int is_unsigned = neg_one > const_zero;
|
|
if (is_unsigned) {
|
|
if (sizeof(long) < sizeof(long)) {
|
|
return PyInt_FromLong((long) value);
|
|
} else if (sizeof(long) <= sizeof(unsigned long)) {
|
|
return PyLong_FromUnsignedLong((unsigned long) value);
|
|
#ifdef HAVE_LONG_LONG
|
|
} else if (sizeof(long) <= sizeof(unsigned PY_LONG_LONG)) {
|
|
return PyLong_FromUnsignedLongLong((unsigned PY_LONG_LONG) value);
|
|
#endif
|
|
}
|
|
} else {
|
|
if (sizeof(long) <= sizeof(long)) {
|
|
return PyInt_FromLong((long) value);
|
|
#ifdef HAVE_LONG_LONG
|
|
} else if (sizeof(long) <= sizeof(PY_LONG_LONG)) {
|
|
return PyLong_FromLongLong((PY_LONG_LONG) value);
|
|
#endif
|
|
}
|
|
}
|
|
{
|
|
int one = 1; int little = (int)*(unsigned char *)&one;
|
|
unsigned char *bytes = (unsigned char *)&value;
|
|
return _PyLong_FromByteArray(bytes, sizeof(long),
|
|
little, !is_unsigned);
|
|
}
|
|
}
|
|
|
|
/* CIntToPy */
|
|
static CYTHON_INLINE PyObject* __Pyx_PyInt_From_unsigned_PY_LONG_LONG(unsigned PY_LONG_LONG value) {
|
|
const unsigned PY_LONG_LONG neg_one = (unsigned PY_LONG_LONG) -1, const_zero = (unsigned PY_LONG_LONG) 0;
|
|
const int is_unsigned = neg_one > const_zero;
|
|
if (is_unsigned) {
|
|
if (sizeof(unsigned PY_LONG_LONG) < sizeof(long)) {
|
|
return PyInt_FromLong((long) value);
|
|
} else if (sizeof(unsigned PY_LONG_LONG) <= sizeof(unsigned long)) {
|
|
return PyLong_FromUnsignedLong((unsigned long) value);
|
|
#ifdef HAVE_LONG_LONG
|
|
} else if (sizeof(unsigned PY_LONG_LONG) <= sizeof(unsigned PY_LONG_LONG)) {
|
|
return PyLong_FromUnsignedLongLong((unsigned PY_LONG_LONG) value);
|
|
#endif
|
|
}
|
|
} else {
|
|
if (sizeof(unsigned PY_LONG_LONG) <= sizeof(long)) {
|
|
return PyInt_FromLong((long) value);
|
|
#ifdef HAVE_LONG_LONG
|
|
} else if (sizeof(unsigned PY_LONG_LONG) <= sizeof(PY_LONG_LONG)) {
|
|
return PyLong_FromLongLong((PY_LONG_LONG) value);
|
|
#endif
|
|
}
|
|
}
|
|
{
|
|
int one = 1; int little = (int)*(unsigned char *)&one;
|
|
unsigned char *bytes = (unsigned char *)&value;
|
|
return _PyLong_FromByteArray(bytes, sizeof(unsigned PY_LONG_LONG),
|
|
little, !is_unsigned);
|
|
}
|
|
}
|
|
|
|
/* Declarations */
|
|
#if CYTHON_CCOMPLEX
|
|
#ifdef __cplusplus
|
|
static CYTHON_INLINE __pyx_t_float_complex __pyx_t_float_complex_from_parts(float x, float y) {
|
|
return ::std::complex< float >(x, y);
|
|
}
|
|
#else
|
|
static CYTHON_INLINE __pyx_t_float_complex __pyx_t_float_complex_from_parts(float x, float y) {
|
|
return x + y*(__pyx_t_float_complex)_Complex_I;
|
|
}
|
|
#endif
|
|
#else
|
|
static CYTHON_INLINE __pyx_t_float_complex __pyx_t_float_complex_from_parts(float x, float y) {
|
|
__pyx_t_float_complex z;
|
|
z.real = x;
|
|
z.imag = y;
|
|
return z;
|
|
}
|
|
#endif
|
|
|
|
/* Arithmetic */
|
|
#if CYTHON_CCOMPLEX
|
|
#else
|
|
static CYTHON_INLINE int __Pyx_c_eq_float(__pyx_t_float_complex a, __pyx_t_float_complex b) {
|
|
return (a.real == b.real) && (a.imag == b.imag);
|
|
}
|
|
static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_sum_float(__pyx_t_float_complex a, __pyx_t_float_complex b) {
|
|
__pyx_t_float_complex z;
|
|
z.real = a.real + b.real;
|
|
z.imag = a.imag + b.imag;
|
|
return z;
|
|
}
|
|
static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_diff_float(__pyx_t_float_complex a, __pyx_t_float_complex b) {
|
|
__pyx_t_float_complex z;
|
|
z.real = a.real - b.real;
|
|
z.imag = a.imag - b.imag;
|
|
return z;
|
|
}
|
|
static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_prod_float(__pyx_t_float_complex a, __pyx_t_float_complex b) {
|
|
__pyx_t_float_complex z;
|
|
z.real = a.real * b.real - a.imag * b.imag;
|
|
z.imag = a.real * b.imag + a.imag * b.real;
|
|
return z;
|
|
}
|
|
#if 1
|
|
static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_quot_float(__pyx_t_float_complex a, __pyx_t_float_complex b) {
|
|
if (b.imag == 0) {
|
|
return __pyx_t_float_complex_from_parts(a.real / b.real, a.imag / b.real);
|
|
} else if (fabsf(b.real) >= fabsf(b.imag)) {
|
|
if (b.real == 0 && b.imag == 0) {
|
|
return __pyx_t_float_complex_from_parts(a.real / b.real, a.imag / b.imag);
|
|
} else {
|
|
float r = b.imag / b.real;
|
|
float s = 1.0 / (b.real + b.imag * r);
|
|
return __pyx_t_float_complex_from_parts(
|
|
(a.real + a.imag * r) * s, (a.imag - a.real * r) * s);
|
|
}
|
|
} else {
|
|
float r = b.real / b.imag;
|
|
float s = 1.0 / (b.imag + b.real * r);
|
|
return __pyx_t_float_complex_from_parts(
|
|
(a.real * r + a.imag) * s, (a.imag * r - a.real) * s);
|
|
}
|
|
}
|
|
#else
|
|
static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_quot_float(__pyx_t_float_complex a, __pyx_t_float_complex b) {
|
|
if (b.imag == 0) {
|
|
return __pyx_t_float_complex_from_parts(a.real / b.real, a.imag / b.real);
|
|
} else {
|
|
float denom = b.real * b.real + b.imag * b.imag;
|
|
return __pyx_t_float_complex_from_parts(
|
|
(a.real * b.real + a.imag * b.imag) / denom,
|
|
(a.imag * b.real - a.real * b.imag) / denom);
|
|
}
|
|
}
|
|
#endif
|
|
static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_neg_float(__pyx_t_float_complex a) {
|
|
__pyx_t_float_complex z;
|
|
z.real = -a.real;
|
|
z.imag = -a.imag;
|
|
return z;
|
|
}
|
|
static CYTHON_INLINE int __Pyx_c_is_zero_float(__pyx_t_float_complex a) {
|
|
return (a.real == 0) && (a.imag == 0);
|
|
}
|
|
static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_conj_float(__pyx_t_float_complex a) {
|
|
__pyx_t_float_complex z;
|
|
z.real = a.real;
|
|
z.imag = -a.imag;
|
|
return z;
|
|
}
|
|
#if 1
|
|
static CYTHON_INLINE float __Pyx_c_abs_float(__pyx_t_float_complex z) {
|
|
#if !defined(HAVE_HYPOT) || defined(_MSC_VER)
|
|
return sqrtf(z.real*z.real + z.imag*z.imag);
|
|
#else
|
|
return hypotf(z.real, z.imag);
|
|
#endif
|
|
}
|
|
static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_pow_float(__pyx_t_float_complex a, __pyx_t_float_complex b) {
|
|
__pyx_t_float_complex z;
|
|
float r, lnr, theta, z_r, z_theta;
|
|
if (b.imag == 0 && b.real == (int)b.real) {
|
|
if (b.real < 0) {
|
|
float denom = a.real * a.real + a.imag * a.imag;
|
|
a.real = a.real / denom;
|
|
a.imag = -a.imag / denom;
|
|
b.real = -b.real;
|
|
}
|
|
switch ((int)b.real) {
|
|
case 0:
|
|
z.real = 1;
|
|
z.imag = 0;
|
|
return z;
|
|
case 1:
|
|
return a;
|
|
case 2:
|
|
z = __Pyx_c_prod_float(a, a);
|
|
return __Pyx_c_prod_float(a, a);
|
|
case 3:
|
|
z = __Pyx_c_prod_float(a, a);
|
|
return __Pyx_c_prod_float(z, a);
|
|
case 4:
|
|
z = __Pyx_c_prod_float(a, a);
|
|
return __Pyx_c_prod_float(z, z);
|
|
}
|
|
}
|
|
if (a.imag == 0) {
|
|
if (a.real == 0) {
|
|
return a;
|
|
} else if (b.imag == 0) {
|
|
z.real = powf(a.real, b.real);
|
|
z.imag = 0;
|
|
return z;
|
|
} else if (a.real > 0) {
|
|
r = a.real;
|
|
theta = 0;
|
|
} else {
|
|
r = -a.real;
|
|
theta = atan2f(0, -1);
|
|
}
|
|
} else {
|
|
r = __Pyx_c_abs_float(a);
|
|
theta = atan2f(a.imag, a.real);
|
|
}
|
|
lnr = logf(r);
|
|
z_r = expf(lnr * b.real - theta * b.imag);
|
|
z_theta = theta * b.real + lnr * b.imag;
|
|
z.real = z_r * cosf(z_theta);
|
|
z.imag = z_r * sinf(z_theta);
|
|
return z;
|
|
}
|
|
#endif
|
|
#endif
|
|
|
|
/* Declarations */
|
|
#if CYTHON_CCOMPLEX
|
|
#ifdef __cplusplus
|
|
static CYTHON_INLINE __pyx_t_double_complex __pyx_t_double_complex_from_parts(double x, double y) {
|
|
return ::std::complex< double >(x, y);
|
|
}
|
|
#else
|
|
static CYTHON_INLINE __pyx_t_double_complex __pyx_t_double_complex_from_parts(double x, double y) {
|
|
return x + y*(__pyx_t_double_complex)_Complex_I;
|
|
}
|
|
#endif
|
|
#else
|
|
static CYTHON_INLINE __pyx_t_double_complex __pyx_t_double_complex_from_parts(double x, double y) {
|
|
__pyx_t_double_complex z;
|
|
z.real = x;
|
|
z.imag = y;
|
|
return z;
|
|
}
|
|
#endif
|
|
|
|
/* Arithmetic */
|
|
#if CYTHON_CCOMPLEX
|
|
#else
|
|
static CYTHON_INLINE int __Pyx_c_eq_double(__pyx_t_double_complex a, __pyx_t_double_complex b) {
|
|
return (a.real == b.real) && (a.imag == b.imag);
|
|
}
|
|
static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_sum_double(__pyx_t_double_complex a, __pyx_t_double_complex b) {
|
|
__pyx_t_double_complex z;
|
|
z.real = a.real + b.real;
|
|
z.imag = a.imag + b.imag;
|
|
return z;
|
|
}
|
|
static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_diff_double(__pyx_t_double_complex a, __pyx_t_double_complex b) {
|
|
__pyx_t_double_complex z;
|
|
z.real = a.real - b.real;
|
|
z.imag = a.imag - b.imag;
|
|
return z;
|
|
}
|
|
static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_prod_double(__pyx_t_double_complex a, __pyx_t_double_complex b) {
|
|
__pyx_t_double_complex z;
|
|
z.real = a.real * b.real - a.imag * b.imag;
|
|
z.imag = a.real * b.imag + a.imag * b.real;
|
|
return z;
|
|
}
|
|
#if 1
|
|
static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_quot_double(__pyx_t_double_complex a, __pyx_t_double_complex b) {
|
|
if (b.imag == 0) {
|
|
return __pyx_t_double_complex_from_parts(a.real / b.real, a.imag / b.real);
|
|
} else if (fabs(b.real) >= fabs(b.imag)) {
|
|
if (b.real == 0 && b.imag == 0) {
|
|
return __pyx_t_double_complex_from_parts(a.real / b.real, a.imag / b.imag);
|
|
} else {
|
|
double r = b.imag / b.real;
|
|
double s = 1.0 / (b.real + b.imag * r);
|
|
return __pyx_t_double_complex_from_parts(
|
|
(a.real + a.imag * r) * s, (a.imag - a.real * r) * s);
|
|
}
|
|
} else {
|
|
double r = b.real / b.imag;
|
|
double s = 1.0 / (b.imag + b.real * r);
|
|
return __pyx_t_double_complex_from_parts(
|
|
(a.real * r + a.imag) * s, (a.imag * r - a.real) * s);
|
|
}
|
|
}
|
|
#else
|
|
static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_quot_double(__pyx_t_double_complex a, __pyx_t_double_complex b) {
|
|
if (b.imag == 0) {
|
|
return __pyx_t_double_complex_from_parts(a.real / b.real, a.imag / b.real);
|
|
} else {
|
|
double denom = b.real * b.real + b.imag * b.imag;
|
|
return __pyx_t_double_complex_from_parts(
|
|
(a.real * b.real + a.imag * b.imag) / denom,
|
|
(a.imag * b.real - a.real * b.imag) / denom);
|
|
}
|
|
}
|
|
#endif
|
|
static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_neg_double(__pyx_t_double_complex a) {
|
|
__pyx_t_double_complex z;
|
|
z.real = -a.real;
|
|
z.imag = -a.imag;
|
|
return z;
|
|
}
|
|
static CYTHON_INLINE int __Pyx_c_is_zero_double(__pyx_t_double_complex a) {
|
|
return (a.real == 0) && (a.imag == 0);
|
|
}
|
|
static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_conj_double(__pyx_t_double_complex a) {
|
|
__pyx_t_double_complex z;
|
|
z.real = a.real;
|
|
z.imag = -a.imag;
|
|
return z;
|
|
}
|
|
#if 1
|
|
static CYTHON_INLINE double __Pyx_c_abs_double(__pyx_t_double_complex z) {
|
|
#if !defined(HAVE_HYPOT) || defined(_MSC_VER)
|
|
return sqrt(z.real*z.real + z.imag*z.imag);
|
|
#else
|
|
return hypot(z.real, z.imag);
|
|
#endif
|
|
}
|
|
static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_pow_double(__pyx_t_double_complex a, __pyx_t_double_complex b) {
|
|
__pyx_t_double_complex z;
|
|
double r, lnr, theta, z_r, z_theta;
|
|
if (b.imag == 0 && b.real == (int)b.real) {
|
|
if (b.real < 0) {
|
|
double denom = a.real * a.real + a.imag * a.imag;
|
|
a.real = a.real / denom;
|
|
a.imag = -a.imag / denom;
|
|
b.real = -b.real;
|
|
}
|
|
switch ((int)b.real) {
|
|
case 0:
|
|
z.real = 1;
|
|
z.imag = 0;
|
|
return z;
|
|
case 1:
|
|
return a;
|
|
case 2:
|
|
z = __Pyx_c_prod_double(a, a);
|
|
return __Pyx_c_prod_double(a, a);
|
|
case 3:
|
|
z = __Pyx_c_prod_double(a, a);
|
|
return __Pyx_c_prod_double(z, a);
|
|
case 4:
|
|
z = __Pyx_c_prod_double(a, a);
|
|
return __Pyx_c_prod_double(z, z);
|
|
}
|
|
}
|
|
if (a.imag == 0) {
|
|
if (a.real == 0) {
|
|
return a;
|
|
} else if (b.imag == 0) {
|
|
z.real = pow(a.real, b.real);
|
|
z.imag = 0;
|
|
return z;
|
|
} else if (a.real > 0) {
|
|
r = a.real;
|
|
theta = 0;
|
|
} else {
|
|
r = -a.real;
|
|
theta = atan2(0, -1);
|
|
}
|
|
} else {
|
|
r = __Pyx_c_abs_double(a);
|
|
theta = atan2(a.imag, a.real);
|
|
}
|
|
lnr = log(r);
|
|
z_r = exp(lnr * b.real - theta * b.imag);
|
|
z_theta = theta * b.real + lnr * b.imag;
|
|
z.real = z_r * cos(z_theta);
|
|
z.imag = z_r * sin(z_theta);
|
|
return z;
|
|
}
|
|
#endif
|
|
#endif
|
|
|
|
/* CIntToPy */
|
|
static CYTHON_INLINE PyObject* __Pyx_PyInt_From_enum__NPY_TYPES(enum NPY_TYPES value) {
|
|
const enum NPY_TYPES neg_one = (enum NPY_TYPES) -1, const_zero = (enum NPY_TYPES) 0;
|
|
const int is_unsigned = neg_one > const_zero;
|
|
if (is_unsigned) {
|
|
if (sizeof(enum NPY_TYPES) < sizeof(long)) {
|
|
return PyInt_FromLong((long) value);
|
|
} else if (sizeof(enum NPY_TYPES) <= sizeof(unsigned long)) {
|
|
return PyLong_FromUnsignedLong((unsigned long) value);
|
|
#ifdef HAVE_LONG_LONG
|
|
} else if (sizeof(enum NPY_TYPES) <= sizeof(unsigned PY_LONG_LONG)) {
|
|
return PyLong_FromUnsignedLongLong((unsigned PY_LONG_LONG) value);
|
|
#endif
|
|
}
|
|
} else {
|
|
if (sizeof(enum NPY_TYPES) <= sizeof(long)) {
|
|
return PyInt_FromLong((long) value);
|
|
#ifdef HAVE_LONG_LONG
|
|
} else if (sizeof(enum NPY_TYPES) <= sizeof(PY_LONG_LONG)) {
|
|
return PyLong_FromLongLong((PY_LONG_LONG) value);
|
|
#endif
|
|
}
|
|
}
|
|
{
|
|
int one = 1; int little = (int)*(unsigned char *)&one;
|
|
unsigned char *bytes = (unsigned char *)&value;
|
|
return _PyLong_FromByteArray(bytes, sizeof(enum NPY_TYPES),
|
|
little, !is_unsigned);
|
|
}
|
|
}
|
|
|
|
/* CIntFromPy */
|
|
static CYTHON_INLINE PY_LONG_LONG __Pyx_PyInt_As_PY_LONG_LONG(PyObject *x) {
|
|
const PY_LONG_LONG neg_one = (PY_LONG_LONG) -1, const_zero = (PY_LONG_LONG) 0;
|
|
const int is_unsigned = neg_one > const_zero;
|
|
#if PY_MAJOR_VERSION < 3
|
|
if (likely(PyInt_Check(x))) {
|
|
if (sizeof(PY_LONG_LONG) < sizeof(long)) {
|
|
__PYX_VERIFY_RETURN_INT(PY_LONG_LONG, long, PyInt_AS_LONG(x))
|
|
} else {
|
|
long val = PyInt_AS_LONG(x);
|
|
if (is_unsigned && unlikely(val < 0)) {
|
|
goto raise_neg_overflow;
|
|
}
|
|
return (PY_LONG_LONG) val;
|
|
}
|
|
} else
|
|
#endif
|
|
if (likely(PyLong_Check(x))) {
|
|
if (is_unsigned) {
|
|
#if CYTHON_USE_PYLONG_INTERNALS
|
|
const digit* digits = ((PyLongObject*)x)->ob_digit;
|
|
switch (Py_SIZE(x)) {
|
|
case 0: return (PY_LONG_LONG) 0;
|
|
case 1: __PYX_VERIFY_RETURN_INT(PY_LONG_LONG, digit, digits[0])
|
|
case 2:
|
|
if (8 * sizeof(PY_LONG_LONG) > 1 * PyLong_SHIFT) {
|
|
if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
|
|
__PYX_VERIFY_RETURN_INT(PY_LONG_LONG, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
|
|
} else if (8 * sizeof(PY_LONG_LONG) >= 2 * PyLong_SHIFT) {
|
|
return (PY_LONG_LONG) (((((PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (PY_LONG_LONG)digits[0]));
|
|
}
|
|
}
|
|
break;
|
|
case 3:
|
|
if (8 * sizeof(PY_LONG_LONG) > 2 * PyLong_SHIFT) {
|
|
if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
|
|
__PYX_VERIFY_RETURN_INT(PY_LONG_LONG, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
|
|
} else if (8 * sizeof(PY_LONG_LONG) >= 3 * PyLong_SHIFT) {
|
|
return (PY_LONG_LONG) (((((((PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (PY_LONG_LONG)digits[0]));
|
|
}
|
|
}
|
|
break;
|
|
case 4:
|
|
if (8 * sizeof(PY_LONG_LONG) > 3 * PyLong_SHIFT) {
|
|
if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
|
|
__PYX_VERIFY_RETURN_INT(PY_LONG_LONG, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
|
|
} else if (8 * sizeof(PY_LONG_LONG) >= 4 * PyLong_SHIFT) {
|
|
return (PY_LONG_LONG) (((((((((PY_LONG_LONG)digits[3]) << PyLong_SHIFT) | (PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (PY_LONG_LONG)digits[0]));
|
|
}
|
|
}
|
|
break;
|
|
}
|
|
#endif
|
|
#if CYTHON_COMPILING_IN_CPYTHON
|
|
if (unlikely(Py_SIZE(x) < 0)) {
|
|
goto raise_neg_overflow;
|
|
}
|
|
#else
|
|
{
|
|
int result = PyObject_RichCompareBool(x, Py_False, Py_LT);
|
|
if (unlikely(result < 0))
|
|
return (PY_LONG_LONG) -1;
|
|
if (unlikely(result == 1))
|
|
goto raise_neg_overflow;
|
|
}
|
|
#endif
|
|
if (sizeof(PY_LONG_LONG) <= sizeof(unsigned long)) {
|
|
__PYX_VERIFY_RETURN_INT_EXC(PY_LONG_LONG, unsigned long, PyLong_AsUnsignedLong(x))
|
|
#ifdef HAVE_LONG_LONG
|
|
} else if (sizeof(PY_LONG_LONG) <= sizeof(unsigned PY_LONG_LONG)) {
|
|
__PYX_VERIFY_RETURN_INT_EXC(PY_LONG_LONG, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x))
|
|
#endif
|
|
}
|
|
} else {
|
|
#if CYTHON_USE_PYLONG_INTERNALS
|
|
const digit* digits = ((PyLongObject*)x)->ob_digit;
|
|
switch (Py_SIZE(x)) {
|
|
case 0: return (PY_LONG_LONG) 0;
|
|
case -1: __PYX_VERIFY_RETURN_INT(PY_LONG_LONG, sdigit, (sdigit) (-(sdigit)digits[0]))
|
|
case 1: __PYX_VERIFY_RETURN_INT(PY_LONG_LONG, digit, +digits[0])
|
|
case -2:
|
|
if (8 * sizeof(PY_LONG_LONG) - 1 > 1 * PyLong_SHIFT) {
|
|
if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
|
|
__PYX_VERIFY_RETURN_INT(PY_LONG_LONG, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
|
|
} else if (8 * sizeof(PY_LONG_LONG) - 1 > 2 * PyLong_SHIFT) {
|
|
return (PY_LONG_LONG) (((PY_LONG_LONG)-1)*(((((PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (PY_LONG_LONG)digits[0])));
|
|
}
|
|
}
|
|
break;
|
|
case 2:
|
|
if (8 * sizeof(PY_LONG_LONG) > 1 * PyLong_SHIFT) {
|
|
if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
|
|
__PYX_VERIFY_RETURN_INT(PY_LONG_LONG, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
|
|
} else if (8 * sizeof(PY_LONG_LONG) - 1 > 2 * PyLong_SHIFT) {
|
|
return (PY_LONG_LONG) ((((((PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (PY_LONG_LONG)digits[0])));
|
|
}
|
|
}
|
|
break;
|
|
case -3:
|
|
if (8 * sizeof(PY_LONG_LONG) - 1 > 2 * PyLong_SHIFT) {
|
|
if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
|
|
__PYX_VERIFY_RETURN_INT(PY_LONG_LONG, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
|
|
} else if (8 * sizeof(PY_LONG_LONG) - 1 > 3 * PyLong_SHIFT) {
|
|
return (PY_LONG_LONG) (((PY_LONG_LONG)-1)*(((((((PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (PY_LONG_LONG)digits[0])));
|
|
}
|
|
}
|
|
break;
|
|
case 3:
|
|
if (8 * sizeof(PY_LONG_LONG) > 2 * PyLong_SHIFT) {
|
|
if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
|
|
__PYX_VERIFY_RETURN_INT(PY_LONG_LONG, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
|
|
} else if (8 * sizeof(PY_LONG_LONG) - 1 > 3 * PyLong_SHIFT) {
|
|
return (PY_LONG_LONG) ((((((((PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (PY_LONG_LONG)digits[0])));
|
|
}
|
|
}
|
|
break;
|
|
case -4:
|
|
if (8 * sizeof(PY_LONG_LONG) - 1 > 3 * PyLong_SHIFT) {
|
|
if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
|
|
__PYX_VERIFY_RETURN_INT(PY_LONG_LONG, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
|
|
} else if (8 * sizeof(PY_LONG_LONG) - 1 > 4 * PyLong_SHIFT) {
|
|
return (PY_LONG_LONG) (((PY_LONG_LONG)-1)*(((((((((PY_LONG_LONG)digits[3]) << PyLong_SHIFT) | (PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (PY_LONG_LONG)digits[0])));
|
|
}
|
|
}
|
|
break;
|
|
case 4:
|
|
if (8 * sizeof(PY_LONG_LONG) > 3 * PyLong_SHIFT) {
|
|
if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
|
|
__PYX_VERIFY_RETURN_INT(PY_LONG_LONG, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
|
|
} else if (8 * sizeof(PY_LONG_LONG) - 1 > 4 * PyLong_SHIFT) {
|
|
return (PY_LONG_LONG) ((((((((((PY_LONG_LONG)digits[3]) << PyLong_SHIFT) | (PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (PY_LONG_LONG)digits[0])));
|
|
}
|
|
}
|
|
break;
|
|
}
|
|
#endif
|
|
if (sizeof(PY_LONG_LONG) <= sizeof(long)) {
|
|
__PYX_VERIFY_RETURN_INT_EXC(PY_LONG_LONG, long, PyLong_AsLong(x))
|
|
#ifdef HAVE_LONG_LONG
|
|
} else if (sizeof(PY_LONG_LONG) <= sizeof(PY_LONG_LONG)) {
|
|
__PYX_VERIFY_RETURN_INT_EXC(PY_LONG_LONG, PY_LONG_LONG, PyLong_AsLongLong(x))
|
|
#endif
|
|
}
|
|
}
|
|
{
|
|
#if CYTHON_COMPILING_IN_PYPY && !defined(_PyLong_AsByteArray)
|
|
PyErr_SetString(PyExc_RuntimeError,
|
|
"_PyLong_AsByteArray() not available in PyPy, cannot convert large numbers");
|
|
#else
|
|
PY_LONG_LONG val;
|
|
PyObject *v = __Pyx_PyNumber_IntOrLong(x);
|
|
#if PY_MAJOR_VERSION < 3
|
|
if (likely(v) && !PyLong_Check(v)) {
|
|
PyObject *tmp = v;
|
|
v = PyNumber_Long(tmp);
|
|
Py_DECREF(tmp);
|
|
}
|
|
#endif
|
|
if (likely(v)) {
|
|
int one = 1; int is_little = (int)*(unsigned char *)&one;
|
|
unsigned char *bytes = (unsigned char *)&val;
|
|
int ret = _PyLong_AsByteArray((PyLongObject *)v,
|
|
bytes, sizeof(val),
|
|
is_little, !is_unsigned);
|
|
Py_DECREF(v);
|
|
if (likely(!ret))
|
|
return val;
|
|
}
|
|
#endif
|
|
return (PY_LONG_LONG) -1;
|
|
}
|
|
} else {
|
|
PY_LONG_LONG val;
|
|
PyObject *tmp = __Pyx_PyNumber_IntOrLong(x);
|
|
if (!tmp) return (PY_LONG_LONG) -1;
|
|
val = __Pyx_PyInt_As_PY_LONG_LONG(tmp);
|
|
Py_DECREF(tmp);
|
|
return val;
|
|
}
|
|
raise_overflow:
|
|
PyErr_SetString(PyExc_OverflowError,
|
|
"value too large to convert to PY_LONG_LONG");
|
|
return (PY_LONG_LONG) -1;
|
|
raise_neg_overflow:
|
|
PyErr_SetString(PyExc_OverflowError,
|
|
"can't convert negative value to PY_LONG_LONG");
|
|
return (PY_LONG_LONG) -1;
|
|
}
|
|
|
|
/* CIntFromPy */
|
|
static CYTHON_INLINE int __Pyx_PyInt_As_int(PyObject *x) {
|
|
const int neg_one = (int) -1, const_zero = (int) 0;
|
|
const int is_unsigned = neg_one > const_zero;
|
|
#if PY_MAJOR_VERSION < 3
|
|
if (likely(PyInt_Check(x))) {
|
|
if (sizeof(int) < sizeof(long)) {
|
|
__PYX_VERIFY_RETURN_INT(int, long, PyInt_AS_LONG(x))
|
|
} else {
|
|
long val = PyInt_AS_LONG(x);
|
|
if (is_unsigned && unlikely(val < 0)) {
|
|
goto raise_neg_overflow;
|
|
}
|
|
return (int) val;
|
|
}
|
|
} else
|
|
#endif
|
|
if (likely(PyLong_Check(x))) {
|
|
if (is_unsigned) {
|
|
#if CYTHON_USE_PYLONG_INTERNALS
|
|
const digit* digits = ((PyLongObject*)x)->ob_digit;
|
|
switch (Py_SIZE(x)) {
|
|
case 0: return (int) 0;
|
|
case 1: __PYX_VERIFY_RETURN_INT(int, digit, digits[0])
|
|
case 2:
|
|
if (8 * sizeof(int) > 1 * PyLong_SHIFT) {
|
|
if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
|
|
__PYX_VERIFY_RETURN_INT(int, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
|
|
} else if (8 * sizeof(int) >= 2 * PyLong_SHIFT) {
|
|
return (int) (((((int)digits[1]) << PyLong_SHIFT) | (int)digits[0]));
|
|
}
|
|
}
|
|
break;
|
|
case 3:
|
|
if (8 * sizeof(int) > 2 * PyLong_SHIFT) {
|
|
if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
|
|
__PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
|
|
} else if (8 * sizeof(int) >= 3 * PyLong_SHIFT) {
|
|
return (int) (((((((int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0]));
|
|
}
|
|
}
|
|
break;
|
|
case 4:
|
|
if (8 * sizeof(int) > 3 * PyLong_SHIFT) {
|
|
if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
|
|
__PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
|
|
} else if (8 * sizeof(int) >= 4 * PyLong_SHIFT) {
|
|
return (int) (((((((((int)digits[3]) << PyLong_SHIFT) | (int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0]));
|
|
}
|
|
}
|
|
break;
|
|
}
|
|
#endif
|
|
#if CYTHON_COMPILING_IN_CPYTHON
|
|
if (unlikely(Py_SIZE(x) < 0)) {
|
|
goto raise_neg_overflow;
|
|
}
|
|
#else
|
|
{
|
|
int result = PyObject_RichCompareBool(x, Py_False, Py_LT);
|
|
if (unlikely(result < 0))
|
|
return (int) -1;
|
|
if (unlikely(result == 1))
|
|
goto raise_neg_overflow;
|
|
}
|
|
#endif
|
|
if (sizeof(int) <= sizeof(unsigned long)) {
|
|
__PYX_VERIFY_RETURN_INT_EXC(int, unsigned long, PyLong_AsUnsignedLong(x))
|
|
#ifdef HAVE_LONG_LONG
|
|
} else if (sizeof(int) <= sizeof(unsigned PY_LONG_LONG)) {
|
|
__PYX_VERIFY_RETURN_INT_EXC(int, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x))
|
|
#endif
|
|
}
|
|
} else {
|
|
#if CYTHON_USE_PYLONG_INTERNALS
|
|
const digit* digits = ((PyLongObject*)x)->ob_digit;
|
|
switch (Py_SIZE(x)) {
|
|
case 0: return (int) 0;
|
|
case -1: __PYX_VERIFY_RETURN_INT(int, sdigit, (sdigit) (-(sdigit)digits[0]))
|
|
case 1: __PYX_VERIFY_RETURN_INT(int, digit, +digits[0])
|
|
case -2:
|
|
if (8 * sizeof(int) - 1 > 1 * PyLong_SHIFT) {
|
|
if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
|
|
__PYX_VERIFY_RETURN_INT(int, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
|
|
} else if (8 * sizeof(int) - 1 > 2 * PyLong_SHIFT) {
|
|
return (int) (((int)-1)*(((((int)digits[1]) << PyLong_SHIFT) | (int)digits[0])));
|
|
}
|
|
}
|
|
break;
|
|
case 2:
|
|
if (8 * sizeof(int) > 1 * PyLong_SHIFT) {
|
|
if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
|
|
__PYX_VERIFY_RETURN_INT(int, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
|
|
} else if (8 * sizeof(int) - 1 > 2 * PyLong_SHIFT) {
|
|
return (int) ((((((int)digits[1]) << PyLong_SHIFT) | (int)digits[0])));
|
|
}
|
|
}
|
|
break;
|
|
case -3:
|
|
if (8 * sizeof(int) - 1 > 2 * PyLong_SHIFT) {
|
|
if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
|
|
__PYX_VERIFY_RETURN_INT(int, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
|
|
} else if (8 * sizeof(int) - 1 > 3 * PyLong_SHIFT) {
|
|
return (int) (((int)-1)*(((((((int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0])));
|
|
}
|
|
}
|
|
break;
|
|
case 3:
|
|
if (8 * sizeof(int) > 2 * PyLong_SHIFT) {
|
|
if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
|
|
__PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
|
|
} else if (8 * sizeof(int) - 1 > 3 * PyLong_SHIFT) {
|
|
return (int) ((((((((int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0])));
|
|
}
|
|
}
|
|
break;
|
|
case -4:
|
|
if (8 * sizeof(int) - 1 > 3 * PyLong_SHIFT) {
|
|
if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
|
|
__PYX_VERIFY_RETURN_INT(int, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
|
|
} else if (8 * sizeof(int) - 1 > 4 * PyLong_SHIFT) {
|
|
return (int) (((int)-1)*(((((((((int)digits[3]) << PyLong_SHIFT) | (int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0])));
|
|
}
|
|
}
|
|
break;
|
|
case 4:
|
|
if (8 * sizeof(int) > 3 * PyLong_SHIFT) {
|
|
if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
|
|
__PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
|
|
} else if (8 * sizeof(int) - 1 > 4 * PyLong_SHIFT) {
|
|
return (int) ((((((((((int)digits[3]) << PyLong_SHIFT) | (int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0])));
|
|
}
|
|
}
|
|
break;
|
|
}
|
|
#endif
|
|
if (sizeof(int) <= sizeof(long)) {
|
|
__PYX_VERIFY_RETURN_INT_EXC(int, long, PyLong_AsLong(x))
|
|
#ifdef HAVE_LONG_LONG
|
|
} else if (sizeof(int) <= sizeof(PY_LONG_LONG)) {
|
|
__PYX_VERIFY_RETURN_INT_EXC(int, PY_LONG_LONG, PyLong_AsLongLong(x))
|
|
#endif
|
|
}
|
|
}
|
|
{
|
|
#if CYTHON_COMPILING_IN_PYPY && !defined(_PyLong_AsByteArray)
|
|
PyErr_SetString(PyExc_RuntimeError,
|
|
"_PyLong_AsByteArray() not available in PyPy, cannot convert large numbers");
|
|
#else
|
|
int val;
|
|
PyObject *v = __Pyx_PyNumber_IntOrLong(x);
|
|
#if PY_MAJOR_VERSION < 3
|
|
if (likely(v) && !PyLong_Check(v)) {
|
|
PyObject *tmp = v;
|
|
v = PyNumber_Long(tmp);
|
|
Py_DECREF(tmp);
|
|
}
|
|
#endif
|
|
if (likely(v)) {
|
|
int one = 1; int is_little = (int)*(unsigned char *)&one;
|
|
unsigned char *bytes = (unsigned char *)&val;
|
|
int ret = _PyLong_AsByteArray((PyLongObject *)v,
|
|
bytes, sizeof(val),
|
|
is_little, !is_unsigned);
|
|
Py_DECREF(v);
|
|
if (likely(!ret))
|
|
return val;
|
|
}
|
|
#endif
|
|
return (int) -1;
|
|
}
|
|
} else {
|
|
int val;
|
|
PyObject *tmp = __Pyx_PyNumber_IntOrLong(x);
|
|
if (!tmp) return (int) -1;
|
|
val = __Pyx_PyInt_As_int(tmp);
|
|
Py_DECREF(tmp);
|
|
return val;
|
|
}
|
|
raise_overflow:
|
|
PyErr_SetString(PyExc_OverflowError,
|
|
"value too large to convert to int");
|
|
return (int) -1;
|
|
raise_neg_overflow:
|
|
PyErr_SetString(PyExc_OverflowError,
|
|
"can't convert negative value to int");
|
|
return (int) -1;
|
|
}
|
|
|
|
/* CIntFromPy */
|
|
static CYTHON_INLINE unsigned PY_LONG_LONG __Pyx_PyInt_As_unsigned_PY_LONG_LONG(PyObject *x) {
|
|
const unsigned PY_LONG_LONG neg_one = (unsigned PY_LONG_LONG) -1, const_zero = (unsigned PY_LONG_LONG) 0;
|
|
const int is_unsigned = neg_one > const_zero;
|
|
#if PY_MAJOR_VERSION < 3
|
|
if (likely(PyInt_Check(x))) {
|
|
if (sizeof(unsigned PY_LONG_LONG) < sizeof(long)) {
|
|
__PYX_VERIFY_RETURN_INT(unsigned PY_LONG_LONG, long, PyInt_AS_LONG(x))
|
|
} else {
|
|
long val = PyInt_AS_LONG(x);
|
|
if (is_unsigned && unlikely(val < 0)) {
|
|
goto raise_neg_overflow;
|
|
}
|
|
return (unsigned PY_LONG_LONG) val;
|
|
}
|
|
} else
|
|
#endif
|
|
if (likely(PyLong_Check(x))) {
|
|
if (is_unsigned) {
|
|
#if CYTHON_USE_PYLONG_INTERNALS
|
|
const digit* digits = ((PyLongObject*)x)->ob_digit;
|
|
switch (Py_SIZE(x)) {
|
|
case 0: return (unsigned PY_LONG_LONG) 0;
|
|
case 1: __PYX_VERIFY_RETURN_INT(unsigned PY_LONG_LONG, digit, digits[0])
|
|
case 2:
|
|
if (8 * sizeof(unsigned PY_LONG_LONG) > 1 * PyLong_SHIFT) {
|
|
if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
|
|
__PYX_VERIFY_RETURN_INT(unsigned PY_LONG_LONG, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
|
|
} else if (8 * sizeof(unsigned PY_LONG_LONG) >= 2 * PyLong_SHIFT) {
|
|
return (unsigned PY_LONG_LONG) (((((unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0]));
|
|
}
|
|
}
|
|
break;
|
|
case 3:
|
|
if (8 * sizeof(unsigned PY_LONG_LONG) > 2 * PyLong_SHIFT) {
|
|
if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
|
|
__PYX_VERIFY_RETURN_INT(unsigned PY_LONG_LONG, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
|
|
} else if (8 * sizeof(unsigned PY_LONG_LONG) >= 3 * PyLong_SHIFT) {
|
|
return (unsigned PY_LONG_LONG) (((((((unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0]));
|
|
}
|
|
}
|
|
break;
|
|
case 4:
|
|
if (8 * sizeof(unsigned PY_LONG_LONG) > 3 * PyLong_SHIFT) {
|
|
if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
|
|
__PYX_VERIFY_RETURN_INT(unsigned PY_LONG_LONG, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
|
|
} else if (8 * sizeof(unsigned PY_LONG_LONG) >= 4 * PyLong_SHIFT) {
|
|
return (unsigned PY_LONG_LONG) (((((((((unsigned PY_LONG_LONG)digits[3]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0]));
|
|
}
|
|
}
|
|
break;
|
|
}
|
|
#endif
|
|
#if CYTHON_COMPILING_IN_CPYTHON
|
|
if (unlikely(Py_SIZE(x) < 0)) {
|
|
goto raise_neg_overflow;
|
|
}
|
|
#else
|
|
{
|
|
int result = PyObject_RichCompareBool(x, Py_False, Py_LT);
|
|
if (unlikely(result < 0))
|
|
return (unsigned PY_LONG_LONG) -1;
|
|
if (unlikely(result == 1))
|
|
goto raise_neg_overflow;
|
|
}
|
|
#endif
|
|
if (sizeof(unsigned PY_LONG_LONG) <= sizeof(unsigned long)) {
|
|
__PYX_VERIFY_RETURN_INT_EXC(unsigned PY_LONG_LONG, unsigned long, PyLong_AsUnsignedLong(x))
|
|
#ifdef HAVE_LONG_LONG
|
|
} else if (sizeof(unsigned PY_LONG_LONG) <= sizeof(unsigned PY_LONG_LONG)) {
|
|
__PYX_VERIFY_RETURN_INT_EXC(unsigned PY_LONG_LONG, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x))
|
|
#endif
|
|
}
|
|
} else {
|
|
#if CYTHON_USE_PYLONG_INTERNALS
|
|
const digit* digits = ((PyLongObject*)x)->ob_digit;
|
|
switch (Py_SIZE(x)) {
|
|
case 0: return (unsigned PY_LONG_LONG) 0;
|
|
case -1: __PYX_VERIFY_RETURN_INT(unsigned PY_LONG_LONG, sdigit, (sdigit) (-(sdigit)digits[0]))
|
|
case 1: __PYX_VERIFY_RETURN_INT(unsigned PY_LONG_LONG, digit, +digits[0])
|
|
case -2:
|
|
if (8 * sizeof(unsigned PY_LONG_LONG) - 1 > 1 * PyLong_SHIFT) {
|
|
if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
|
|
__PYX_VERIFY_RETURN_INT(unsigned PY_LONG_LONG, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
|
|
} else if (8 * sizeof(unsigned PY_LONG_LONG) - 1 > 2 * PyLong_SHIFT) {
|
|
return (unsigned PY_LONG_LONG) (((unsigned PY_LONG_LONG)-1)*(((((unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0])));
|
|
}
|
|
}
|
|
break;
|
|
case 2:
|
|
if (8 * sizeof(unsigned PY_LONG_LONG) > 1 * PyLong_SHIFT) {
|
|
if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
|
|
__PYX_VERIFY_RETURN_INT(unsigned PY_LONG_LONG, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
|
|
} else if (8 * sizeof(unsigned PY_LONG_LONG) - 1 > 2 * PyLong_SHIFT) {
|
|
return (unsigned PY_LONG_LONG) ((((((unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0])));
|
|
}
|
|
}
|
|
break;
|
|
case -3:
|
|
if (8 * sizeof(unsigned PY_LONG_LONG) - 1 > 2 * PyLong_SHIFT) {
|
|
if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
|
|
__PYX_VERIFY_RETURN_INT(unsigned PY_LONG_LONG, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
|
|
} else if (8 * sizeof(unsigned PY_LONG_LONG) - 1 > 3 * PyLong_SHIFT) {
|
|
return (unsigned PY_LONG_LONG) (((unsigned PY_LONG_LONG)-1)*(((((((unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0])));
|
|
}
|
|
}
|
|
break;
|
|
case 3:
|
|
if (8 * sizeof(unsigned PY_LONG_LONG) > 2 * PyLong_SHIFT) {
|
|
if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
|
|
__PYX_VERIFY_RETURN_INT(unsigned PY_LONG_LONG, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
|
|
} else if (8 * sizeof(unsigned PY_LONG_LONG) - 1 > 3 * PyLong_SHIFT) {
|
|
return (unsigned PY_LONG_LONG) ((((((((unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0])));
|
|
}
|
|
}
|
|
break;
|
|
case -4:
|
|
if (8 * sizeof(unsigned PY_LONG_LONG) - 1 > 3 * PyLong_SHIFT) {
|
|
if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
|
|
__PYX_VERIFY_RETURN_INT(unsigned PY_LONG_LONG, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
|
|
} else if (8 * sizeof(unsigned PY_LONG_LONG) - 1 > 4 * PyLong_SHIFT) {
|
|
return (unsigned PY_LONG_LONG) (((unsigned PY_LONG_LONG)-1)*(((((((((unsigned PY_LONG_LONG)digits[3]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0])));
|
|
}
|
|
}
|
|
break;
|
|
case 4:
|
|
if (8 * sizeof(unsigned PY_LONG_LONG) > 3 * PyLong_SHIFT) {
|
|
if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
|
|
__PYX_VERIFY_RETURN_INT(unsigned PY_LONG_LONG, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
|
|
} else if (8 * sizeof(unsigned PY_LONG_LONG) - 1 > 4 * PyLong_SHIFT) {
|
|
return (unsigned PY_LONG_LONG) ((((((((((unsigned PY_LONG_LONG)digits[3]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0])));
|
|
}
|
|
}
|
|
break;
|
|
}
|
|
#endif
|
|
if (sizeof(unsigned PY_LONG_LONG) <= sizeof(long)) {
|
|
__PYX_VERIFY_RETURN_INT_EXC(unsigned PY_LONG_LONG, long, PyLong_AsLong(x))
|
|
#ifdef HAVE_LONG_LONG
|
|
} else if (sizeof(unsigned PY_LONG_LONG) <= sizeof(PY_LONG_LONG)) {
|
|
__PYX_VERIFY_RETURN_INT_EXC(unsigned PY_LONG_LONG, PY_LONG_LONG, PyLong_AsLongLong(x))
|
|
#endif
|
|
}
|
|
}
|
|
{
|
|
#if CYTHON_COMPILING_IN_PYPY && !defined(_PyLong_AsByteArray)
|
|
PyErr_SetString(PyExc_RuntimeError,
|
|
"_PyLong_AsByteArray() not available in PyPy, cannot convert large numbers");
|
|
#else
|
|
unsigned PY_LONG_LONG val;
|
|
PyObject *v = __Pyx_PyNumber_IntOrLong(x);
|
|
#if PY_MAJOR_VERSION < 3
|
|
if (likely(v) && !PyLong_Check(v)) {
|
|
PyObject *tmp = v;
|
|
v = PyNumber_Long(tmp);
|
|
Py_DECREF(tmp);
|
|
}
|
|
#endif
|
|
if (likely(v)) {
|
|
int one = 1; int is_little = (int)*(unsigned char *)&one;
|
|
unsigned char *bytes = (unsigned char *)&val;
|
|
int ret = _PyLong_AsByteArray((PyLongObject *)v,
|
|
bytes, sizeof(val),
|
|
is_little, !is_unsigned);
|
|
Py_DECREF(v);
|
|
if (likely(!ret))
|
|
return val;
|
|
}
|
|
#endif
|
|
return (unsigned PY_LONG_LONG) -1;
|
|
}
|
|
} else {
|
|
unsigned PY_LONG_LONG val;
|
|
PyObject *tmp = __Pyx_PyNumber_IntOrLong(x);
|
|
if (!tmp) return (unsigned PY_LONG_LONG) -1;
|
|
val = __Pyx_PyInt_As_unsigned_PY_LONG_LONG(tmp);
|
|
Py_DECREF(tmp);
|
|
return val;
|
|
}
|
|
raise_overflow:
|
|
PyErr_SetString(PyExc_OverflowError,
|
|
"value too large to convert to unsigned PY_LONG_LONG");
|
|
return (unsigned PY_LONG_LONG) -1;
|
|
raise_neg_overflow:
|
|
PyErr_SetString(PyExc_OverflowError,
|
|
"can't convert negative value to unsigned PY_LONG_LONG");
|
|
return (unsigned PY_LONG_LONG) -1;
|
|
}
|
|
|
|
/* CIntFromPy */
|
|
static CYTHON_INLINE npy_uint32 __Pyx_PyInt_As_npy_uint32(PyObject *x) {
|
|
const npy_uint32 neg_one = (npy_uint32) -1, const_zero = (npy_uint32) 0;
|
|
const int is_unsigned = neg_one > const_zero;
|
|
#if PY_MAJOR_VERSION < 3
|
|
if (likely(PyInt_Check(x))) {
|
|
if (sizeof(npy_uint32) < sizeof(long)) {
|
|
__PYX_VERIFY_RETURN_INT(npy_uint32, long, PyInt_AS_LONG(x))
|
|
} else {
|
|
long val = PyInt_AS_LONG(x);
|
|
if (is_unsigned && unlikely(val < 0)) {
|
|
goto raise_neg_overflow;
|
|
}
|
|
return (npy_uint32) val;
|
|
}
|
|
} else
|
|
#endif
|
|
if (likely(PyLong_Check(x))) {
|
|
if (is_unsigned) {
|
|
#if CYTHON_USE_PYLONG_INTERNALS
|
|
const digit* digits = ((PyLongObject*)x)->ob_digit;
|
|
switch (Py_SIZE(x)) {
|
|
case 0: return (npy_uint32) 0;
|
|
case 1: __PYX_VERIFY_RETURN_INT(npy_uint32, digit, digits[0])
|
|
case 2:
|
|
if (8 * sizeof(npy_uint32) > 1 * PyLong_SHIFT) {
|
|
if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
|
|
__PYX_VERIFY_RETURN_INT(npy_uint32, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
|
|
} else if (8 * sizeof(npy_uint32) >= 2 * PyLong_SHIFT) {
|
|
return (npy_uint32) (((((npy_uint32)digits[1]) << PyLong_SHIFT) | (npy_uint32)digits[0]));
|
|
}
|
|
}
|
|
break;
|
|
case 3:
|
|
if (8 * sizeof(npy_uint32) > 2 * PyLong_SHIFT) {
|
|
if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
|
|
__PYX_VERIFY_RETURN_INT(npy_uint32, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
|
|
} else if (8 * sizeof(npy_uint32) >= 3 * PyLong_SHIFT) {
|
|
return (npy_uint32) (((((((npy_uint32)digits[2]) << PyLong_SHIFT) | (npy_uint32)digits[1]) << PyLong_SHIFT) | (npy_uint32)digits[0]));
|
|
}
|
|
}
|
|
break;
|
|
case 4:
|
|
if (8 * sizeof(npy_uint32) > 3 * PyLong_SHIFT) {
|
|
if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
|
|
__PYX_VERIFY_RETURN_INT(npy_uint32, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
|
|
} else if (8 * sizeof(npy_uint32) >= 4 * PyLong_SHIFT) {
|
|
return (npy_uint32) (((((((((npy_uint32)digits[3]) << PyLong_SHIFT) | (npy_uint32)digits[2]) << PyLong_SHIFT) | (npy_uint32)digits[1]) << PyLong_SHIFT) | (npy_uint32)digits[0]));
|
|
}
|
|
}
|
|
break;
|
|
}
|
|
#endif
|
|
#if CYTHON_COMPILING_IN_CPYTHON
|
|
if (unlikely(Py_SIZE(x) < 0)) {
|
|
goto raise_neg_overflow;
|
|
}
|
|
#else
|
|
{
|
|
int result = PyObject_RichCompareBool(x, Py_False, Py_LT);
|
|
if (unlikely(result < 0))
|
|
return (npy_uint32) -1;
|
|
if (unlikely(result == 1))
|
|
goto raise_neg_overflow;
|
|
}
|
|
#endif
|
|
if (sizeof(npy_uint32) <= sizeof(unsigned long)) {
|
|
__PYX_VERIFY_RETURN_INT_EXC(npy_uint32, unsigned long, PyLong_AsUnsignedLong(x))
|
|
#ifdef HAVE_LONG_LONG
|
|
} else if (sizeof(npy_uint32) <= sizeof(unsigned PY_LONG_LONG)) {
|
|
__PYX_VERIFY_RETURN_INT_EXC(npy_uint32, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x))
|
|
#endif
|
|
}
|
|
} else {
|
|
#if CYTHON_USE_PYLONG_INTERNALS
|
|
const digit* digits = ((PyLongObject*)x)->ob_digit;
|
|
switch (Py_SIZE(x)) {
|
|
case 0: return (npy_uint32) 0;
|
|
case -1: __PYX_VERIFY_RETURN_INT(npy_uint32, sdigit, (sdigit) (-(sdigit)digits[0]))
|
|
case 1: __PYX_VERIFY_RETURN_INT(npy_uint32, digit, +digits[0])
|
|
case -2:
|
|
if (8 * sizeof(npy_uint32) - 1 > 1 * PyLong_SHIFT) {
|
|
if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
|
|
__PYX_VERIFY_RETURN_INT(npy_uint32, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
|
|
} else if (8 * sizeof(npy_uint32) - 1 > 2 * PyLong_SHIFT) {
|
|
return (npy_uint32) (((npy_uint32)-1)*(((((npy_uint32)digits[1]) << PyLong_SHIFT) | (npy_uint32)digits[0])));
|
|
}
|
|
}
|
|
break;
|
|
case 2:
|
|
if (8 * sizeof(npy_uint32) > 1 * PyLong_SHIFT) {
|
|
if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
|
|
__PYX_VERIFY_RETURN_INT(npy_uint32, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
|
|
} else if (8 * sizeof(npy_uint32) - 1 > 2 * PyLong_SHIFT) {
|
|
return (npy_uint32) ((((((npy_uint32)digits[1]) << PyLong_SHIFT) | (npy_uint32)digits[0])));
|
|
}
|
|
}
|
|
break;
|
|
case -3:
|
|
if (8 * sizeof(npy_uint32) - 1 > 2 * PyLong_SHIFT) {
|
|
if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
|
|
__PYX_VERIFY_RETURN_INT(npy_uint32, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
|
|
} else if (8 * sizeof(npy_uint32) - 1 > 3 * PyLong_SHIFT) {
|
|
return (npy_uint32) (((npy_uint32)-1)*(((((((npy_uint32)digits[2]) << PyLong_SHIFT) | (npy_uint32)digits[1]) << PyLong_SHIFT) | (npy_uint32)digits[0])));
|
|
}
|
|
}
|
|
break;
|
|
case 3:
|
|
if (8 * sizeof(npy_uint32) > 2 * PyLong_SHIFT) {
|
|
if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
|
|
__PYX_VERIFY_RETURN_INT(npy_uint32, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
|
|
} else if (8 * sizeof(npy_uint32) - 1 > 3 * PyLong_SHIFT) {
|
|
return (npy_uint32) ((((((((npy_uint32)digits[2]) << PyLong_SHIFT) | (npy_uint32)digits[1]) << PyLong_SHIFT) | (npy_uint32)digits[0])));
|
|
}
|
|
}
|
|
break;
|
|
case -4:
|
|
if (8 * sizeof(npy_uint32) - 1 > 3 * PyLong_SHIFT) {
|
|
if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
|
|
__PYX_VERIFY_RETURN_INT(npy_uint32, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
|
|
} else if (8 * sizeof(npy_uint32) - 1 > 4 * PyLong_SHIFT) {
|
|
return (npy_uint32) (((npy_uint32)-1)*(((((((((npy_uint32)digits[3]) << PyLong_SHIFT) | (npy_uint32)digits[2]) << PyLong_SHIFT) | (npy_uint32)digits[1]) << PyLong_SHIFT) | (npy_uint32)digits[0])));
|
|
}
|
|
}
|
|
break;
|
|
case 4:
|
|
if (8 * sizeof(npy_uint32) > 3 * PyLong_SHIFT) {
|
|
if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
|
|
__PYX_VERIFY_RETURN_INT(npy_uint32, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
|
|
} else if (8 * sizeof(npy_uint32) - 1 > 4 * PyLong_SHIFT) {
|
|
return (npy_uint32) ((((((((((npy_uint32)digits[3]) << PyLong_SHIFT) | (npy_uint32)digits[2]) << PyLong_SHIFT) | (npy_uint32)digits[1]) << PyLong_SHIFT) | (npy_uint32)digits[0])));
|
|
}
|
|
}
|
|
break;
|
|
}
|
|
#endif
|
|
if (sizeof(npy_uint32) <= sizeof(long)) {
|
|
__PYX_VERIFY_RETURN_INT_EXC(npy_uint32, long, PyLong_AsLong(x))
|
|
#ifdef HAVE_LONG_LONG
|
|
} else if (sizeof(npy_uint32) <= sizeof(PY_LONG_LONG)) {
|
|
__PYX_VERIFY_RETURN_INT_EXC(npy_uint32, PY_LONG_LONG, PyLong_AsLongLong(x))
|
|
#endif
|
|
}
|
|
}
|
|
{
|
|
#if CYTHON_COMPILING_IN_PYPY && !defined(_PyLong_AsByteArray)
|
|
PyErr_SetString(PyExc_RuntimeError,
|
|
"_PyLong_AsByteArray() not available in PyPy, cannot convert large numbers");
|
|
#else
|
|
npy_uint32 val;
|
|
PyObject *v = __Pyx_PyNumber_IntOrLong(x);
|
|
#if PY_MAJOR_VERSION < 3
|
|
if (likely(v) && !PyLong_Check(v)) {
|
|
PyObject *tmp = v;
|
|
v = PyNumber_Long(tmp);
|
|
Py_DECREF(tmp);
|
|
}
|
|
#endif
|
|
if (likely(v)) {
|
|
int one = 1; int is_little = (int)*(unsigned char *)&one;
|
|
unsigned char *bytes = (unsigned char *)&val;
|
|
int ret = _PyLong_AsByteArray((PyLongObject *)v,
|
|
bytes, sizeof(val),
|
|
is_little, !is_unsigned);
|
|
Py_DECREF(v);
|
|
if (likely(!ret))
|
|
return val;
|
|
}
|
|
#endif
|
|
return (npy_uint32) -1;
|
|
}
|
|
} else {
|
|
npy_uint32 val;
|
|
PyObject *tmp = __Pyx_PyNumber_IntOrLong(x);
|
|
if (!tmp) return (npy_uint32) -1;
|
|
val = __Pyx_PyInt_As_npy_uint32(tmp);
|
|
Py_DECREF(tmp);
|
|
return val;
|
|
}
|
|
raise_overflow:
|
|
PyErr_SetString(PyExc_OverflowError,
|
|
"value too large to convert to npy_uint32");
|
|
return (npy_uint32) -1;
|
|
raise_neg_overflow:
|
|
PyErr_SetString(PyExc_OverflowError,
|
|
"can't convert negative value to npy_uint32");
|
|
return (npy_uint32) -1;
|
|
}
|
|
|
|
/* CIntFromPy */
|
|
static CYTHON_INLINE long __Pyx_PyInt_As_long(PyObject *x) {
|
|
const long neg_one = (long) -1, const_zero = (long) 0;
|
|
const int is_unsigned = neg_one > const_zero;
|
|
#if PY_MAJOR_VERSION < 3
|
|
if (likely(PyInt_Check(x))) {
|
|
if (sizeof(long) < sizeof(long)) {
|
|
__PYX_VERIFY_RETURN_INT(long, long, PyInt_AS_LONG(x))
|
|
} else {
|
|
long val = PyInt_AS_LONG(x);
|
|
if (is_unsigned && unlikely(val < 0)) {
|
|
goto raise_neg_overflow;
|
|
}
|
|
return (long) val;
|
|
}
|
|
} else
|
|
#endif
|
|
if (likely(PyLong_Check(x))) {
|
|
if (is_unsigned) {
|
|
#if CYTHON_USE_PYLONG_INTERNALS
|
|
const digit* digits = ((PyLongObject*)x)->ob_digit;
|
|
switch (Py_SIZE(x)) {
|
|
case 0: return (long) 0;
|
|
case 1: __PYX_VERIFY_RETURN_INT(long, digit, digits[0])
|
|
case 2:
|
|
if (8 * sizeof(long) > 1 * PyLong_SHIFT) {
|
|
if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
|
|
__PYX_VERIFY_RETURN_INT(long, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
|
|
} else if (8 * sizeof(long) >= 2 * PyLong_SHIFT) {
|
|
return (long) (((((long)digits[1]) << PyLong_SHIFT) | (long)digits[0]));
|
|
}
|
|
}
|
|
break;
|
|
case 3:
|
|
if (8 * sizeof(long) > 2 * PyLong_SHIFT) {
|
|
if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
|
|
__PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
|
|
} else if (8 * sizeof(long) >= 3 * PyLong_SHIFT) {
|
|
return (long) (((((((long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0]));
|
|
}
|
|
}
|
|
break;
|
|
case 4:
|
|
if (8 * sizeof(long) > 3 * PyLong_SHIFT) {
|
|
if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
|
|
__PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
|
|
} else if (8 * sizeof(long) >= 4 * PyLong_SHIFT) {
|
|
return (long) (((((((((long)digits[3]) << PyLong_SHIFT) | (long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0]));
|
|
}
|
|
}
|
|
break;
|
|
}
|
|
#endif
|
|
#if CYTHON_COMPILING_IN_CPYTHON
|
|
if (unlikely(Py_SIZE(x) < 0)) {
|
|
goto raise_neg_overflow;
|
|
}
|
|
#else
|
|
{
|
|
int result = PyObject_RichCompareBool(x, Py_False, Py_LT);
|
|
if (unlikely(result < 0))
|
|
return (long) -1;
|
|
if (unlikely(result == 1))
|
|
goto raise_neg_overflow;
|
|
}
|
|
#endif
|
|
if (sizeof(long) <= sizeof(unsigned long)) {
|
|
__PYX_VERIFY_RETURN_INT_EXC(long, unsigned long, PyLong_AsUnsignedLong(x))
|
|
#ifdef HAVE_LONG_LONG
|
|
} else if (sizeof(long) <= sizeof(unsigned PY_LONG_LONG)) {
|
|
__PYX_VERIFY_RETURN_INT_EXC(long, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x))
|
|
#endif
|
|
}
|
|
} else {
|
|
#if CYTHON_USE_PYLONG_INTERNALS
|
|
const digit* digits = ((PyLongObject*)x)->ob_digit;
|
|
switch (Py_SIZE(x)) {
|
|
case 0: return (long) 0;
|
|
case -1: __PYX_VERIFY_RETURN_INT(long, sdigit, (sdigit) (-(sdigit)digits[0]))
|
|
case 1: __PYX_VERIFY_RETURN_INT(long, digit, +digits[0])
|
|
case -2:
|
|
if (8 * sizeof(long) - 1 > 1 * PyLong_SHIFT) {
|
|
if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
|
|
__PYX_VERIFY_RETURN_INT(long, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
|
|
} else if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) {
|
|
return (long) (((long)-1)*(((((long)digits[1]) << PyLong_SHIFT) | (long)digits[0])));
|
|
}
|
|
}
|
|
break;
|
|
case 2:
|
|
if (8 * sizeof(long) > 1 * PyLong_SHIFT) {
|
|
if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
|
|
__PYX_VERIFY_RETURN_INT(long, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
|
|
} else if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) {
|
|
return (long) ((((((long)digits[1]) << PyLong_SHIFT) | (long)digits[0])));
|
|
}
|
|
}
|
|
break;
|
|
case -3:
|
|
if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) {
|
|
if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
|
|
__PYX_VERIFY_RETURN_INT(long, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
|
|
} else if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) {
|
|
return (long) (((long)-1)*(((((((long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0])));
|
|
}
|
|
}
|
|
break;
|
|
case 3:
|
|
if (8 * sizeof(long) > 2 * PyLong_SHIFT) {
|
|
if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
|
|
__PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
|
|
} else if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) {
|
|
return (long) ((((((((long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0])));
|
|
}
|
|
}
|
|
break;
|
|
case -4:
|
|
if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) {
|
|
if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
|
|
__PYX_VERIFY_RETURN_INT(long, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
|
|
} else if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) {
|
|
return (long) (((long)-1)*(((((((((long)digits[3]) << PyLong_SHIFT) | (long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0])));
|
|
}
|
|
}
|
|
break;
|
|
case 4:
|
|
if (8 * sizeof(long) > 3 * PyLong_SHIFT) {
|
|
if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
|
|
__PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
|
|
} else if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) {
|
|
return (long) ((((((((((long)digits[3]) << PyLong_SHIFT) | (long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0])));
|
|
}
|
|
}
|
|
break;
|
|
}
|
|
#endif
|
|
if (sizeof(long) <= sizeof(long)) {
|
|
__PYX_VERIFY_RETURN_INT_EXC(long, long, PyLong_AsLong(x))
|
|
#ifdef HAVE_LONG_LONG
|
|
} else if (sizeof(long) <= sizeof(PY_LONG_LONG)) {
|
|
__PYX_VERIFY_RETURN_INT_EXC(long, PY_LONG_LONG, PyLong_AsLongLong(x))
|
|
#endif
|
|
}
|
|
}
|
|
{
|
|
#if CYTHON_COMPILING_IN_PYPY && !defined(_PyLong_AsByteArray)
|
|
PyErr_SetString(PyExc_RuntimeError,
|
|
"_PyLong_AsByteArray() not available in PyPy, cannot convert large numbers");
|
|
#else
|
|
long val;
|
|
PyObject *v = __Pyx_PyNumber_IntOrLong(x);
|
|
#if PY_MAJOR_VERSION < 3
|
|
if (likely(v) && !PyLong_Check(v)) {
|
|
PyObject *tmp = v;
|
|
v = PyNumber_Long(tmp);
|
|
Py_DECREF(tmp);
|
|
}
|
|
#endif
|
|
if (likely(v)) {
|
|
int one = 1; int is_little = (int)*(unsigned char *)&one;
|
|
unsigned char *bytes = (unsigned char *)&val;
|
|
int ret = _PyLong_AsByteArray((PyLongObject *)v,
|
|
bytes, sizeof(val),
|
|
is_little, !is_unsigned);
|
|
Py_DECREF(v);
|
|
if (likely(!ret))
|
|
return val;
|
|
}
|
|
#endif
|
|
return (long) -1;
|
|
}
|
|
} else {
|
|
long val;
|
|
PyObject *tmp = __Pyx_PyNumber_IntOrLong(x);
|
|
if (!tmp) return (long) -1;
|
|
val = __Pyx_PyInt_As_long(tmp);
|
|
Py_DECREF(tmp);
|
|
return val;
|
|
}
|
|
raise_overflow:
|
|
PyErr_SetString(PyExc_OverflowError,
|
|
"value too large to convert to long");
|
|
return (long) -1;
|
|
raise_neg_overflow:
|
|
PyErr_SetString(PyExc_OverflowError,
|
|
"can't convert negative value to long");
|
|
return (long) -1;
|
|
}
|
|
|
|
/* FastTypeChecks */
|
|
#if CYTHON_COMPILING_IN_CPYTHON
|
|
static int __Pyx_InBases(PyTypeObject *a, PyTypeObject *b) {
|
|
while (a) {
|
|
a = a->tp_base;
|
|
if (a == b)
|
|
return 1;
|
|
}
|
|
return b == &PyBaseObject_Type;
|
|
}
|
|
static CYTHON_INLINE int __Pyx_IsSubtype(PyTypeObject *a, PyTypeObject *b) {
|
|
PyObject *mro;
|
|
if (a == b) return 1;
|
|
mro = a->tp_mro;
|
|
if (likely(mro)) {
|
|
Py_ssize_t i, n;
|
|
n = PyTuple_GET_SIZE(mro);
|
|
for (i = 0; i < n; i++) {
|
|
if (PyTuple_GET_ITEM(mro, i) == (PyObject *)b)
|
|
return 1;
|
|
}
|
|
return 0;
|
|
}
|
|
return __Pyx_InBases(a, b);
|
|
}
|
|
#if PY_MAJOR_VERSION == 2
|
|
static int __Pyx_inner_PyErr_GivenExceptionMatches2(PyObject *err, PyObject* exc_type1, PyObject* exc_type2) {
|
|
PyObject *exception, *value, *tb;
|
|
int res;
|
|
__Pyx_PyThreadState_declare
|
|
__Pyx_PyThreadState_assign
|
|
__Pyx_ErrFetch(&exception, &value, &tb);
|
|
res = exc_type1 ? PyObject_IsSubclass(err, exc_type1) : 0;
|
|
if (unlikely(res == -1)) {
|
|
PyErr_WriteUnraisable(err);
|
|
res = 0;
|
|
}
|
|
if (!res) {
|
|
res = PyObject_IsSubclass(err, exc_type2);
|
|
if (unlikely(res == -1)) {
|
|
PyErr_WriteUnraisable(err);
|
|
res = 0;
|
|
}
|
|
}
|
|
__Pyx_ErrRestore(exception, value, tb);
|
|
return res;
|
|
}
|
|
#else
|
|
static CYTHON_INLINE int __Pyx_inner_PyErr_GivenExceptionMatches2(PyObject *err, PyObject* exc_type1, PyObject *exc_type2) {
|
|
int res = exc_type1 ? __Pyx_IsSubtype((PyTypeObject*)err, (PyTypeObject*)exc_type1) : 0;
|
|
if (!res) {
|
|
res = __Pyx_IsSubtype((PyTypeObject*)err, (PyTypeObject*)exc_type2);
|
|
}
|
|
return res;
|
|
}
|
|
#endif
|
|
static CYTHON_INLINE int __Pyx_PyErr_GivenExceptionMatches(PyObject *err, PyObject* exc_type) {
|
|
if (likely(err == exc_type)) return 1;
|
|
if (likely(PyExceptionClass_Check(err))) {
|
|
return __Pyx_inner_PyErr_GivenExceptionMatches2(err, NULL, exc_type);
|
|
}
|
|
return PyErr_GivenExceptionMatches(err, exc_type);
|
|
}
|
|
static CYTHON_INLINE int __Pyx_PyErr_GivenExceptionMatches2(PyObject *err, PyObject *exc_type1, PyObject *exc_type2) {
|
|
if (likely(err == exc_type1 || err == exc_type2)) return 1;
|
|
if (likely(PyExceptionClass_Check(err))) {
|
|
return __Pyx_inner_PyErr_GivenExceptionMatches2(err, exc_type1, exc_type2);
|
|
}
|
|
return (PyErr_GivenExceptionMatches(err, exc_type1) || PyErr_GivenExceptionMatches(err, exc_type2));
|
|
}
|
|
#endif
|
|
|
|
/* CheckBinaryVersion */
|
|
static int __Pyx_check_binary_version(void) {
|
|
char ctversion[4], rtversion[4];
|
|
PyOS_snprintf(ctversion, 4, "%d.%d", PY_MAJOR_VERSION, PY_MINOR_VERSION);
|
|
PyOS_snprintf(rtversion, 4, "%s", Py_GetVersion());
|
|
if (ctversion[0] != rtversion[0] || ctversion[2] != rtversion[2]) {
|
|
char message[200];
|
|
PyOS_snprintf(message, sizeof(message),
|
|
"compiletime version %s of module '%.100s' "
|
|
"does not match runtime version %s",
|
|
ctversion, __Pyx_MODULE_NAME, rtversion);
|
|
return PyErr_WarnEx(NULL, message, 1);
|
|
}
|
|
return 0;
|
|
}
|
|
|
|
/* ModuleImport */
|
|
#ifndef __PYX_HAVE_RT_ImportModule
|
|
#define __PYX_HAVE_RT_ImportModule
|
|
static PyObject *__Pyx_ImportModule(const char *name) {
|
|
PyObject *py_name = 0;
|
|
PyObject *py_module = 0;
|
|
py_name = __Pyx_PyIdentifier_FromString(name);
|
|
if (!py_name)
|
|
goto bad;
|
|
py_module = PyImport_Import(py_name);
|
|
Py_DECREF(py_name);
|
|
return py_module;
|
|
bad:
|
|
Py_XDECREF(py_name);
|
|
return 0;
|
|
}
|
|
#endif
|
|
|
|
/* TypeImport */
|
|
#ifndef __PYX_HAVE_RT_ImportType
|
|
#define __PYX_HAVE_RT_ImportType
|
|
static PyTypeObject *__Pyx_ImportType(const char *module_name, const char *class_name,
|
|
size_t size, int strict)
|
|
{
|
|
PyObject *py_module = 0;
|
|
PyObject *result = 0;
|
|
PyObject *py_name = 0;
|
|
char warning[200];
|
|
Py_ssize_t basicsize;
|
|
#ifdef Py_LIMITED_API
|
|
PyObject *py_basicsize;
|
|
#endif
|
|
py_module = __Pyx_ImportModule(module_name);
|
|
if (!py_module)
|
|
goto bad;
|
|
py_name = __Pyx_PyIdentifier_FromString(class_name);
|
|
if (!py_name)
|
|
goto bad;
|
|
result = PyObject_GetAttr(py_module, py_name);
|
|
Py_DECREF(py_name);
|
|
py_name = 0;
|
|
Py_DECREF(py_module);
|
|
py_module = 0;
|
|
if (!result)
|
|
goto bad;
|
|
if (!PyType_Check(result)) {
|
|
PyErr_Format(PyExc_TypeError,
|
|
"%.200s.%.200s is not a type object",
|
|
module_name, class_name);
|
|
goto bad;
|
|
}
|
|
#ifndef Py_LIMITED_API
|
|
basicsize = ((PyTypeObject *)result)->tp_basicsize;
|
|
#else
|
|
py_basicsize = PyObject_GetAttrString(result, "__basicsize__");
|
|
if (!py_basicsize)
|
|
goto bad;
|
|
basicsize = PyLong_AsSsize_t(py_basicsize);
|
|
Py_DECREF(py_basicsize);
|
|
py_basicsize = 0;
|
|
if (basicsize == (Py_ssize_t)-1 && PyErr_Occurred())
|
|
goto bad;
|
|
#endif
|
|
if (!strict && (size_t)basicsize > size) {
|
|
PyOS_snprintf(warning, sizeof(warning),
|
|
"%s.%s size changed, may indicate binary incompatibility. Expected %zd, got %zd",
|
|
module_name, class_name, basicsize, size);
|
|
if (PyErr_WarnEx(NULL, warning, 0) < 0) goto bad;
|
|
}
|
|
else if ((size_t)basicsize != size) {
|
|
PyErr_Format(PyExc_ValueError,
|
|
"%.200s.%.200s has the wrong size, try recompiling. Expected %zd, got %zd",
|
|
module_name, class_name, basicsize, size);
|
|
goto bad;
|
|
}
|
|
return (PyTypeObject *)result;
|
|
bad:
|
|
Py_XDECREF(py_module);
|
|
Py_XDECREF(result);
|
|
return NULL;
|
|
}
|
|
#endif
|
|
|
|
/* VoidPtrImport */
|
|
#ifndef __PYX_HAVE_RT_ImportVoidPtr
|
|
#define __PYX_HAVE_RT_ImportVoidPtr
|
|
static int __Pyx_ImportVoidPtr(PyObject *module, const char *name, void **p, const char *sig) {
|
|
PyObject *d = 0;
|
|
PyObject *cobj = 0;
|
|
d = PyObject_GetAttrString(module, (char *)"__pyx_capi__");
|
|
if (!d)
|
|
goto bad;
|
|
cobj = PyDict_GetItemString(d, name);
|
|
if (!cobj) {
|
|
PyErr_Format(PyExc_ImportError,
|
|
"%.200s does not export expected C variable %.200s",
|
|
PyModule_GetName(module), name);
|
|
goto bad;
|
|
}
|
|
#if PY_VERSION_HEX >= 0x02070000
|
|
if (!PyCapsule_IsValid(cobj, sig)) {
|
|
PyErr_Format(PyExc_TypeError,
|
|
"C variable %.200s.%.200s has wrong signature (expected %.500s, got %.500s)",
|
|
PyModule_GetName(module), name, sig, PyCapsule_GetName(cobj));
|
|
goto bad;
|
|
}
|
|
*p = PyCapsule_GetPointer(cobj, sig);
|
|
#else
|
|
{const char *desc, *s1, *s2;
|
|
desc = (const char *)PyCObject_GetDesc(cobj);
|
|
if (!desc)
|
|
goto bad;
|
|
s1 = desc; s2 = sig;
|
|
while (*s1 != '\0' && *s1 == *s2) { s1++; s2++; }
|
|
if (*s1 != *s2) {
|
|
PyErr_Format(PyExc_TypeError,
|
|
"C variable %.200s.%.200s has wrong signature (expected %.500s, got %.500s)",
|
|
PyModule_GetName(module), name, sig, desc);
|
|
goto bad;
|
|
}
|
|
*p = PyCObject_AsVoidPtr(cobj);}
|
|
#endif
|
|
if (!(*p))
|
|
goto bad;
|
|
Py_DECREF(d);
|
|
return 0;
|
|
bad:
|
|
Py_XDECREF(d);
|
|
return -1;
|
|
}
|
|
#endif
|
|
|
|
/* FunctionImport */
|
|
#ifndef __PYX_HAVE_RT_ImportFunction
|
|
#define __PYX_HAVE_RT_ImportFunction
|
|
static int __Pyx_ImportFunction(PyObject *module, const char *funcname, void (**f)(void), const char *sig) {
|
|
PyObject *d = 0;
|
|
PyObject *cobj = 0;
|
|
union {
|
|
void (*fp)(void);
|
|
void *p;
|
|
} tmp;
|
|
d = PyObject_GetAttrString(module, (char *)"__pyx_capi__");
|
|
if (!d)
|
|
goto bad;
|
|
cobj = PyDict_GetItemString(d, funcname);
|
|
if (!cobj) {
|
|
PyErr_Format(PyExc_ImportError,
|
|
"%.200s does not export expected C function %.200s",
|
|
PyModule_GetName(module), funcname);
|
|
goto bad;
|
|
}
|
|
#if PY_VERSION_HEX >= 0x02070000
|
|
if (!PyCapsule_IsValid(cobj, sig)) {
|
|
PyErr_Format(PyExc_TypeError,
|
|
"C function %.200s.%.200s has wrong signature (expected %.500s, got %.500s)",
|
|
PyModule_GetName(module), funcname, sig, PyCapsule_GetName(cobj));
|
|
goto bad;
|
|
}
|
|
tmp.p = PyCapsule_GetPointer(cobj, sig);
|
|
#else
|
|
{const char *desc, *s1, *s2;
|
|
desc = (const char *)PyCObject_GetDesc(cobj);
|
|
if (!desc)
|
|
goto bad;
|
|
s1 = desc; s2 = sig;
|
|
while (*s1 != '\0' && *s1 == *s2) { s1++; s2++; }
|
|
if (*s1 != *s2) {
|
|
PyErr_Format(PyExc_TypeError,
|
|
"C function %.200s.%.200s has wrong signature (expected %.500s, got %.500s)",
|
|
PyModule_GetName(module), funcname, sig, desc);
|
|
goto bad;
|
|
}
|
|
tmp.p = PyCObject_AsVoidPtr(cobj);}
|
|
#endif
|
|
*f = tmp.fp;
|
|
if (!(*f))
|
|
goto bad;
|
|
Py_DECREF(d);
|
|
return 0;
|
|
bad:
|
|
Py_XDECREF(d);
|
|
return -1;
|
|
}
|
|
#endif
|
|
|
|
/* InitStrings */
|
|
static int __Pyx_InitStrings(__Pyx_StringTabEntry *t) {
|
|
while (t->p) {
|
|
#if PY_MAJOR_VERSION < 3
|
|
if (t->is_unicode) {
|
|
*t->p = PyUnicode_DecodeUTF8(t->s, t->n - 1, NULL);
|
|
} else if (t->intern) {
|
|
*t->p = PyString_InternFromString(t->s);
|
|
} else {
|
|
*t->p = PyString_FromStringAndSize(t->s, t->n - 1);
|
|
}
|
|
#else
|
|
if (t->is_unicode | t->is_str) {
|
|
if (t->intern) {
|
|
*t->p = PyUnicode_InternFromString(t->s);
|
|
} else if (t->encoding) {
|
|
*t->p = PyUnicode_Decode(t->s, t->n - 1, t->encoding, NULL);
|
|
} else {
|
|
*t->p = PyUnicode_FromStringAndSize(t->s, t->n - 1);
|
|
}
|
|
} else {
|
|
*t->p = PyBytes_FromStringAndSize(t->s, t->n - 1);
|
|
}
|
|
#endif
|
|
if (!*t->p)
|
|
return -1;
|
|
if (PyObject_Hash(*t->p) == -1)
|
|
return -1;
|
|
++t;
|
|
}
|
|
return 0;
|
|
}
|
|
|
|
static CYTHON_INLINE PyObject* __Pyx_PyUnicode_FromString(const char* c_str) {
|
|
return __Pyx_PyUnicode_FromStringAndSize(c_str, (Py_ssize_t)strlen(c_str));
|
|
}
|
|
static CYTHON_INLINE const char* __Pyx_PyObject_AsString(PyObject* o) {
|
|
Py_ssize_t ignore;
|
|
return __Pyx_PyObject_AsStringAndSize(o, &ignore);
|
|
}
|
|
#if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII || __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT
|
|
#if !CYTHON_PEP393_ENABLED
|
|
static const char* __Pyx_PyUnicode_AsStringAndSize(PyObject* o, Py_ssize_t *length) {
|
|
char* defenc_c;
|
|
PyObject* defenc = _PyUnicode_AsDefaultEncodedString(o, NULL);
|
|
if (!defenc) return NULL;
|
|
defenc_c = PyBytes_AS_STRING(defenc);
|
|
#if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII
|
|
{
|
|
char* end = defenc_c + PyBytes_GET_SIZE(defenc);
|
|
char* c;
|
|
for (c = defenc_c; c < end; c++) {
|
|
if ((unsigned char) (*c) >= 128) {
|
|
PyUnicode_AsASCIIString(o);
|
|
return NULL;
|
|
}
|
|
}
|
|
}
|
|
#endif
|
|
*length = PyBytes_GET_SIZE(defenc);
|
|
return defenc_c;
|
|
}
|
|
#else
|
|
static CYTHON_INLINE const char* __Pyx_PyUnicode_AsStringAndSize(PyObject* o, Py_ssize_t *length) {
|
|
if (unlikely(__Pyx_PyUnicode_READY(o) == -1)) return NULL;
|
|
#if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII
|
|
if (likely(PyUnicode_IS_ASCII(o))) {
|
|
*length = PyUnicode_GET_LENGTH(o);
|
|
return PyUnicode_AsUTF8(o);
|
|
} else {
|
|
PyUnicode_AsASCIIString(o);
|
|
return NULL;
|
|
}
|
|
#else
|
|
return PyUnicode_AsUTF8AndSize(o, length);
|
|
#endif
|
|
}
|
|
#endif
|
|
#endif
|
|
static CYTHON_INLINE const char* __Pyx_PyObject_AsStringAndSize(PyObject* o, Py_ssize_t *length) {
|
|
#if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII || __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT
|
|
if (
|
|
#if PY_MAJOR_VERSION < 3 && __PYX_DEFAULT_STRING_ENCODING_IS_ASCII
|
|
__Pyx_sys_getdefaultencoding_not_ascii &&
|
|
#endif
|
|
PyUnicode_Check(o)) {
|
|
return __Pyx_PyUnicode_AsStringAndSize(o, length);
|
|
} else
|
|
#endif
|
|
#if (!CYTHON_COMPILING_IN_PYPY) || (defined(PyByteArray_AS_STRING) && defined(PyByteArray_GET_SIZE))
|
|
if (PyByteArray_Check(o)) {
|
|
*length = PyByteArray_GET_SIZE(o);
|
|
return PyByteArray_AS_STRING(o);
|
|
} else
|
|
#endif
|
|
{
|
|
char* result;
|
|
int r = PyBytes_AsStringAndSize(o, &result, length);
|
|
if (unlikely(r < 0)) {
|
|
return NULL;
|
|
} else {
|
|
return result;
|
|
}
|
|
}
|
|
}
|
|
static CYTHON_INLINE int __Pyx_PyObject_IsTrue(PyObject* x) {
|
|
int is_true = x == Py_True;
|
|
if (is_true | (x == Py_False) | (x == Py_None)) return is_true;
|
|
else return PyObject_IsTrue(x);
|
|
}
|
|
static PyObject* __Pyx_PyNumber_IntOrLongWrongResultType(PyObject* result, const char* type_name) {
|
|
#if PY_MAJOR_VERSION >= 3
|
|
if (PyLong_Check(result)) {
|
|
if (PyErr_WarnFormat(PyExc_DeprecationWarning, 1,
|
|
"__int__ returned non-int (type %.200s). "
|
|
"The ability to return an instance of a strict subclass of int "
|
|
"is deprecated, and may be removed in a future version of Python.",
|
|
Py_TYPE(result)->tp_name)) {
|
|
Py_DECREF(result);
|
|
return NULL;
|
|
}
|
|
return result;
|
|
}
|
|
#endif
|
|
PyErr_Format(PyExc_TypeError,
|
|
"__%.4s__ returned non-%.4s (type %.200s)",
|
|
type_name, type_name, Py_TYPE(result)->tp_name);
|
|
Py_DECREF(result);
|
|
return NULL;
|
|
}
|
|
static CYTHON_INLINE PyObject* __Pyx_PyNumber_IntOrLong(PyObject* x) {
|
|
#if CYTHON_USE_TYPE_SLOTS
|
|
PyNumberMethods *m;
|
|
#endif
|
|
const char *name = NULL;
|
|
PyObject *res = NULL;
|
|
#if PY_MAJOR_VERSION < 3
|
|
if (likely(PyInt_Check(x) || PyLong_Check(x)))
|
|
#else
|
|
if (likely(PyLong_Check(x)))
|
|
#endif
|
|
return __Pyx_NewRef(x);
|
|
#if CYTHON_USE_TYPE_SLOTS
|
|
m = Py_TYPE(x)->tp_as_number;
|
|
#if PY_MAJOR_VERSION < 3
|
|
if (m && m->nb_int) {
|
|
name = "int";
|
|
res = m->nb_int(x);
|
|
}
|
|
else if (m && m->nb_long) {
|
|
name = "long";
|
|
res = m->nb_long(x);
|
|
}
|
|
#else
|
|
if (likely(m && m->nb_int)) {
|
|
name = "int";
|
|
res = m->nb_int(x);
|
|
}
|
|
#endif
|
|
#else
|
|
if (!PyBytes_CheckExact(x) && !PyUnicode_CheckExact(x)) {
|
|
res = PyNumber_Int(x);
|
|
}
|
|
#endif
|
|
if (likely(res)) {
|
|
#if PY_MAJOR_VERSION < 3
|
|
if (unlikely(!PyInt_Check(res) && !PyLong_Check(res))) {
|
|
#else
|
|
if (unlikely(!PyLong_CheckExact(res))) {
|
|
#endif
|
|
return __Pyx_PyNumber_IntOrLongWrongResultType(res, name);
|
|
}
|
|
}
|
|
else if (!PyErr_Occurred()) {
|
|
PyErr_SetString(PyExc_TypeError,
|
|
"an integer is required");
|
|
}
|
|
return res;
|
|
}
|
|
static CYTHON_INLINE Py_ssize_t __Pyx_PyIndex_AsSsize_t(PyObject* b) {
|
|
Py_ssize_t ival;
|
|
PyObject *x;
|
|
#if PY_MAJOR_VERSION < 3
|
|
if (likely(PyInt_CheckExact(b))) {
|
|
if (sizeof(Py_ssize_t) >= sizeof(long))
|
|
return PyInt_AS_LONG(b);
|
|
else
|
|
return PyInt_AsSsize_t(x);
|
|
}
|
|
#endif
|
|
if (likely(PyLong_CheckExact(b))) {
|
|
#if CYTHON_USE_PYLONG_INTERNALS
|
|
const digit* digits = ((PyLongObject*)b)->ob_digit;
|
|
const Py_ssize_t size = Py_SIZE(b);
|
|
if (likely(__Pyx_sst_abs(size) <= 1)) {
|
|
ival = likely(size) ? digits[0] : 0;
|
|
if (size == -1) ival = -ival;
|
|
return ival;
|
|
} else {
|
|
switch (size) {
|
|
case 2:
|
|
if (8 * sizeof(Py_ssize_t) > 2 * PyLong_SHIFT) {
|
|
return (Py_ssize_t) (((((size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]));
|
|
}
|
|
break;
|
|
case -2:
|
|
if (8 * sizeof(Py_ssize_t) > 2 * PyLong_SHIFT) {
|
|
return -(Py_ssize_t) (((((size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]));
|
|
}
|
|
break;
|
|
case 3:
|
|
if (8 * sizeof(Py_ssize_t) > 3 * PyLong_SHIFT) {
|
|
return (Py_ssize_t) (((((((size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]));
|
|
}
|
|
break;
|
|
case -3:
|
|
if (8 * sizeof(Py_ssize_t) > 3 * PyLong_SHIFT) {
|
|
return -(Py_ssize_t) (((((((size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]));
|
|
}
|
|
break;
|
|
case 4:
|
|
if (8 * sizeof(Py_ssize_t) > 4 * PyLong_SHIFT) {
|
|
return (Py_ssize_t) (((((((((size_t)digits[3]) << PyLong_SHIFT) | (size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]));
|
|
}
|
|
break;
|
|
case -4:
|
|
if (8 * sizeof(Py_ssize_t) > 4 * PyLong_SHIFT) {
|
|
return -(Py_ssize_t) (((((((((size_t)digits[3]) << PyLong_SHIFT) | (size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]));
|
|
}
|
|
break;
|
|
}
|
|
}
|
|
#endif
|
|
return PyLong_AsSsize_t(b);
|
|
}
|
|
x = PyNumber_Index(b);
|
|
if (!x) return -1;
|
|
ival = PyInt_AsSsize_t(x);
|
|
Py_DECREF(x);
|
|
return ival;
|
|
}
|
|
static CYTHON_INLINE PyObject * __Pyx_PyBool_FromLong(long b) {
|
|
return b ? __Pyx_NewRef(Py_True) : __Pyx_NewRef(Py_False);
|
|
}
|
|
static CYTHON_INLINE PyObject * __Pyx_PyInt_FromSize_t(size_t ival) {
|
|
return PyInt_FromSize_t(ival);
|
|
}
|
|
|
|
|
|
#endif /* Py_PYTHON_H */
|