Listings

This shows listings from compiler internal registries (e.g. lowering definitions). The information is provided as developer reference. When possible, links to source code are provided via github links.

New style listings

The following listings are generated from numba.help.inspector.write_listings(). Users can run python -m numba.help.inspector --format=rst <package> to recreate the the documentation.

• Listings for builtins
  • builtins
• Listings for math
  • math
• Listings for cmath
  • cmath
• Listings for numpy
  • numpy
  • numpy.char
  • numpy.compat
  • numpy.compat.py3k
  • numpy.core
  • numpy.core.arrayprint
  • numpy.core.defchararray
  • numpy.core.einsumfunc
  • numpy.core.fromnumeric
  • numpy.core.function_base
  • numpy.core.getlimits
  • numpy.core.multiarray
  • numpy.core.numeric
  • numpy.core.numerictypes
  • numpy.core.overrides
  • numpy.core.records
  • numpy.core.shape_base
  • numpy.core.umath
  • numpy.ctypeslib
  • numpy.distutils
  • numpy.distutils.armccompiler
  • numpy.distutils.ccompiler
  • numpy.distutils.ccompiler_opt
  • numpy.distutils.command
  • numpy.distutils.command.autodist
  • numpy.distutils.command.bdist_rpm
  • numpy.distutils.command.build
  • numpy.distutils.command.build_clib
  • numpy.distutils.command.build_ext
  • numpy.distutils.command.build_py
  • numpy.distutils.command.build_scripts
  • numpy.distutils.command.build_src
  • numpy.distutils.command.config
  • numpy.distutils.command.config_compiler
  • numpy.distutils.command.develop
  • numpy.distutils.command.egg_info
  • numpy.distutils.command.install
  • numpy.distutils.command.install_clib
  • numpy.distutils.command.install_data
  • numpy.distutils.command.install_headers
  • numpy.distutils.command.sdist
  • numpy.distutils.conv_template
  • numpy.distutils.core
  • numpy.distutils.cpuinfo
  • numpy.distutils.exec_command
  • numpy.distutils.extension
  • numpy.distutils.fcompiler
  • numpy.distutils.fcompiler.absoft
  • numpy.distutils.fcompiler.arm
  • numpy.distutils.fcompiler.compaq
  • numpy.distutils.fcompiler.environment
  • numpy.distutils.fcompiler.fujitsu
  • numpy.distutils.fcompiler.g95
  • numpy.distutils.fcompiler.gnu
  • numpy.distutils.fcompiler.hpux
  • numpy.distutils.fcompiler.ibm
  • numpy.distutils.fcompiler.intel
  • numpy.distutils.fcompiler.lahey
  • numpy.distutils.fcompiler.mips
  • numpy.distutils.fcompiler.nag
  • numpy.distutils.fcompiler.none
  • numpy.distutils.fcompiler.nv
  • numpy.distutils.fcompiler.pathf95
  • numpy.distutils.fcompiler.pg
  • numpy.distutils.fcompiler.sun
  • numpy.distutils.fcompiler.vast
  • numpy.distutils.from_template
  • numpy.distutils.fujitsuccompiler
  • numpy.distutils.intelccompiler
  • numpy.distutils.lib2def
  • numpy.distutils.line_endings
  • numpy.distutils.log
  • numpy.distutils.mingw32ccompiler
  • numpy.distutils.misc_util
  • numpy.distutils.msvccompiler
  • numpy.distutils.npy_pkg_config
  • numpy.distutils.numpy_distribution
  • numpy.distutils.pathccompiler
  • numpy.distutils.system_info
  • numpy.distutils.unixccompiler
  • numpy.dtypes
  • numpy.exceptions
  • numpy.f2py
  • numpy.f2py.auxfuncs
  • numpy.f2py.capi_maps
  • numpy.f2py.cb_rules
  • numpy.f2py.cfuncs
  • numpy.f2py.common_rules
  • numpy.f2py.crackfortran
  • numpy.f2py.diagnose
  • numpy.f2py.f2py2e
  • numpy.f2py.f90mod_rules
  • numpy.f2py.func2subr
  • numpy.f2py.rules
  • numpy.f2py.symbolic
  • numpy.f2py.use_rules
  • numpy.fft
  • numpy.fft.helper
  • numpy.lib
  • numpy.lib.array_utils
  • numpy.lib.format
  • numpy.lib.introspect
  • numpy.lib.mixins
  • numpy.lib.npyio
  • numpy.lib.recfunctions
  • numpy.lib.scimath
  • numpy.lib.stride_tricks
  • numpy.lib.user_array
  • numpy.linalg
  • numpy.linalg.lapack_lite
  • numpy.linalg.linalg
  • numpy.ma
  • numpy.ma.core
  • numpy.ma.extras
  • numpy.ma.mrecords
  • numpy.ma.testutils
  • numpy.ma.timer_comparison
  • numpy.matlib
  • numpy.matrixlib
  • numpy.matrixlib.defmatrix
  • numpy.polynomial
  • numpy.polynomial.chebyshev
  • numpy.polynomial.hermite
  • numpy.polynomial.hermite_e
  • numpy.polynomial.laguerre
  • numpy.polynomial.legendre
  • numpy.polynomial.polynomial
  • numpy.polynomial.polyutils
  • numpy.random
  • numpy.random.bit_generator
  • numpy.random.mtrand
  • numpy.rec
  • numpy.strings
  • numpy.testing
  • numpy.testing.overrides
  • numpy.testing.print_coercion_tables
  • numpy.typing
  • numpy.typing.mypy_plugin
  • numpy.version

Old style listings

• Lowering Listing
  • 'array.argsort'
  • 'array.astype'
  • 'array.copy'
  • 'array.flatten'
  • 'array.item'
  • 'array.nonzero'
  • 'array.ravel'
  • 'array.reshape'
  • 'array.sort'
  • 'array.sum'
  • 'array.transpose'
  • 'array.view'
  • 'complex.conjugate'
  • 'ffi.from_buffer'
  • 'getiter'
  • 'iternext'
  • 'list.append'
  • 'list.clear'
  • 'list.extend'
  • 'list.insert'
  • 'list.pop'
  • 'not in'
  • 'number.item'
  • 'print_item'
  • 'set.add'
  • 'set.update'
  • 'slice.indices'
  • 'static_getitem'
  • 'static_setitem'
  • 'typed_getitem'
  • (<class 'numba.core.types.containers.BaseTuple'>, '__hash__')
  • (<class 'numba.core.types.containers.BaseTuple'>, 'index')
  • (<class 'numba.core.types.containers.Bytes'>, '_to_str')
  • (<class 'numba.core.types.containers.Bytes'>, 'center')
  • (<class 'numba.core.types.containers.Bytes'>, 'endswith')
  • (<class 'numba.core.types.containers.Bytes'>, 'find')
  • (<class 'numba.core.types.containers.Bytes'>, 'isascii')
  • (<class 'numba.core.types.containers.Bytes'>, 'join')
  • (<class 'numba.core.types.containers.Bytes'>, 'ljust')
  • (<class 'numba.core.types.containers.Bytes'>, 'lstrip')
  • (<class 'numba.core.types.containers.Bytes'>, 'rfind')
  • (<class 'numba.core.types.containers.Bytes'>, 'rjust')
  • (<class 'numba.core.types.containers.Bytes'>, 'rstrip')
  • (<class 'numba.core.types.containers.Bytes'>, 'split')
  • (<class 'numba.core.types.containers.Bytes'>, 'startswith')
  • (<class 'numba.core.types.containers.Bytes'>, 'strip')
  • (<class 'numba.core.types.containers.Bytes'>, 'zfill')
  • (<class 'numba.core.types.containers.DictType'>, '__setitem__')
  • (<class 'numba.core.types.containers.DictType'>, 'clear')
  • (<class 'numba.core.types.containers.DictType'>, 'copy')
  • (<class 'numba.core.types.containers.DictType'>, 'get')
  • (<class 'numba.core.types.containers.DictType'>, 'items')
  • (<class 'numba.core.types.containers.DictType'>, 'keys')
  • (<class 'numba.core.types.containers.DictType'>, 'pop')
  • (<class 'numba.core.types.containers.DictType'>, 'popitem')
  • (<class 'numba.core.types.containers.DictType'>, 'setdefault')
  • (<class 'numba.core.types.containers.DictType'>, 'update')
  • (<class 'numba.core.types.containers.DictType'>, 'values')
  • (<class 'numba.core.types.containers.List'>, 'copy')
  • (<class 'numba.core.types.containers.List'>, 'count')
  • (<class 'numba.core.types.containers.List'>, 'index')
  • (<class 'numba.core.types.containers.List'>, 'remove')
  • (<class 'numba.core.types.containers.List'>, 'reverse')
  • (<class 'numba.core.types.containers.List'>, 'sort')
  • (<class 'numba.core.types.containers.ListType'>, '_allocated')
  • (<class 'numba.core.types.containers.ListType'>, '_is_mutable')
  • (<class 'numba.core.types.containers.ListType'>, '_make_immutable')
  • (<class 'numba.core.types.containers.ListType'>, '_make_mutable')
  • (<class 'numba.core.types.containers.ListType'>, 'append')
  • (<class 'numba.core.types.containers.ListType'>, 'clear')
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  • (<class 'numba.core.types.containers.ListType'>, 'count')
  • (<class 'numba.core.types.containers.ListType'>, 'extend')
  • (<class 'numba.core.types.containers.ListType'>, 'getitem_unchecked')
  • (<class 'numba.core.types.containers.ListType'>, 'index')
  • (<class 'numba.core.types.containers.ListType'>, 'insert')
  • (<class 'numba.core.types.containers.ListType'>, 'pop')
  • (<class 'numba.core.types.containers.ListType'>, 'remove')
  • (<class 'numba.core.types.containers.ListType'>, 'reverse')
  • (<class 'numba.core.types.containers.ListType'>, 'sort')
  • (<class 'numba.core.types.containers.LiteralList'>, 'append')
  • (<class 'numba.core.types.containers.LiteralList'>, 'clear')
  • (<class 'numba.core.types.containers.LiteralList'>, 'copy')
  • (<class 'numba.core.types.containers.LiteralList'>, 'count')
  • (<class 'numba.core.types.containers.LiteralList'>, 'extend')
  • (<class 'numba.core.types.containers.LiteralList'>, 'index')
  • (<class 'numba.core.types.containers.LiteralList'>, 'insert')
  • (<class 'numba.core.types.containers.LiteralList'>, 'pop')
  • (<class 'numba.core.types.containers.LiteralList'>, 'remove')
  • (<class 'numba.core.types.containers.LiteralList'>, 'reverse')
  • (<class 'numba.core.types.containers.LiteralList'>, 'sort')
  • (<class 'numba.core.types.containers.LiteralStrKeyDict'>, 'clear')
  • (<class 'numba.core.types.containers.LiteralStrKeyDict'>, 'copy')
  • (<class 'numba.core.types.containers.LiteralStrKeyDict'>, 'get')
  • (<class 'numba.core.types.containers.LiteralStrKeyDict'>, 'items')
  • (<class 'numba.core.types.containers.LiteralStrKeyDict'>, 'keys')
  • (<class 'numba.core.types.containers.LiteralStrKeyDict'>, 'pop')
  • (<class 'numba.core.types.containers.LiteralStrKeyDict'>, 'popitem')
  • (<class 'numba.core.types.containers.LiteralStrKeyDict'>, 'setdefault')
  • (<class 'numba.core.types.containers.LiteralStrKeyDict'>, 'update')
  • (<class 'numba.core.types.containers.LiteralStrKeyDict'>, 'values')
  • (<class 'numba.core.types.containers.Set'>, 'clear')
  • (<class 'numba.core.types.containers.Set'>, 'copy')
  • (<class 'numba.core.types.containers.Set'>, 'difference')
  • (<class 'numba.core.types.containers.Set'>, 'difference_update')
  • (<class 'numba.core.types.containers.Set'>, 'discard')
  • (<class 'numba.core.types.containers.Set'>, 'intersection')
  • (<class 'numba.core.types.containers.Set'>, 'intersection_update')
  • (<class 'numba.core.types.containers.Set'>, 'isdisjoint')
  • (<class 'numba.core.types.containers.Set'>, 'issubset')
  • (<class 'numba.core.types.containers.Set'>, 'issuperset')
  • (<class 'numba.core.types.containers.Set'>, 'pop')
  • (<class 'numba.core.types.containers.Set'>, 'remove')
  • (<class 'numba.core.types.containers.Set'>, 'symmetric_difference')
  • (<class 'numba.core.types.containers.Set'>, 'symmetric_difference_update')
  • (<class 'numba.core.types.containers.Set'>, 'union')
  • (<class 'numba.core.types.misc.UnicodeType'>, '__hash__')
  • (<class 'numba.core.types.misc.UnicodeType'>, '__repr__')
  • (<class 'numba.core.types.misc.UnicodeType'>, '__str__')
  • (<class 'numba.core.types.misc.UnicodeType'>, '_to_bytes')
  • (<class 'numba.core.types.misc.UnicodeType'>, 'capitalize')
  • (<class 'numba.core.types.misc.UnicodeType'>, 'casefold')
  • (<class 'numba.core.types.misc.UnicodeType'>, 'center')
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  • (<class 'numba.core.types.misc.UnicodeType'>, 'expandtabs')
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  • (<class 'numba.core.types.old_scalars.Integer'>, '__hash__')
  • (<class 'numba.core.types.old_scalars.Integer'>, '__repr__')
  • (<class 'numba.core.types.old_scalars.Integer'>, '__str__')
  • (<class 'numba.core.types.old_scalars.Integer'>, 'view')
  • (<class 'numba.core.types.old_scalars.NPDatetime'>, '__hash__')
  • (typeref[<class 'numba.core.types.containers.DictType'>], 'empty')
  • (typeref[<class 'numba.core.types.containers.ListType'>], 'empty_list')
  • (typeref[<class 'numba.core.types.npytypes.Array'>], '_allocate')
  • _operator.add
  • _operator.and_
  • _operator.contains
  • _operator.delitem
  • _operator.eq
  • _operator.floordiv
  • _operator.ge
  • _operator.getitem
  • _operator.gt
  • _operator.iadd
  • _operator.iand
  • _operator.ifloordiv
  • _operator.ilshift
  • _operator.imod
  • _operator.imul
  • _operator.invert
  • _operator.ior
  • _operator.ipow
  • _operator.irshift
  • _operator.is_
  • _operator.is_not
  • _operator.isub
  • _operator.itruediv
  • _operator.ixor
  • _operator.le
  • _operator.lshift
  • _operator.lt
  • _operator.mod
  • _operator.mul
  • _operator.ne
  • _operator.neg
  • _operator.not_
  • _operator.or_
  • _operator.pos
  • _operator.pow
  • _operator.rshift
  • _operator.setitem
  • _operator.sub
  • _operator.truediv
  • _operator.xor
  • builtins.abs
  • builtins.bool
  • builtins.complex
  • builtins.dict
  • builtins.divmod
  • builtins.enumerate
  • builtins.float
  • builtins.int
  • builtins.iter
  • builtins.len
  • builtins.list
  • builtins.max
  • builtins.min
  • builtins.next
  • builtins.pow
  • builtins.print
  • builtins.range
  • builtins.round
  • builtins.set
  • builtins.slice
  • builtins.tuple
  • builtins.type
  • builtins.zip
  • cmath.acos
  • cmath.asin
  • cmath.asinh
  • cmath.atan
  • cmath.atanh
  • cmath.cos
  • cmath.exp
  • cmath.isfinite
  • cmath.isinf
  • cmath.isnan
  • cmath.log
  • cmath.sin
  • cmath.sqrt
  • cmath.tan
  • math.acos
  • math.acosh
  • math.asin
  • math.asinh
  • math.atan
  • math.atan2
  • math.atanh
  • math.ceil
  • math.copysign
  • math.cos
  • math.cosh
  • math.degrees
  • math.erf
  • math.erfc
  • math.exp
  • math.expm1
  • math.fabs
  • math.floor
  • math.frexp
  • math.gamma
  • math.gcd
  • math.hypot
  • math.isfinite
  • math.isinf
  • math.isnan
  • math.ldexp
  • math.lgamma
  • math.log
  • math.log10
  • math.log1p
  • math.log2
  • math.nextafter
  • math.pow
  • math.radians
  • math.sin
  • math.sinh
  • math.sqrt
  • math.tan
  • math.tanh
  • math.trunc
  • numba.core.types.abstract.TypeRef
  • numba.core.types.functions.NamedTupleClass
  • numba.core.types.functions.NumberClass
  • numba.core.types.misc.ClassType
  • numba.core.typing.old_builtins.IndexValue
  • numba.cpython.old_builtins.get_type_max_value
  • numba.cpython.old_builtins.get_type_min_value
  • numba.misc.special.pndindex
  • numba.misc.special.prange
  • numba.np.arrayobj.reshape_unchecked
  • numba.np.npdatetime_helpers.datetime_maximum
  • numba.np.npdatetime_helpers.datetime_minimum
  • numba.parfors.parfor.internal_prange
  • numba.stencils.stencil.stencil
  • numpy.absolute
  • numpy.add
  • numpy.arccos
  • numpy.arccosh
  • numpy.arcsin
  • numpy.arcsinh
  • numpy.arctan
  • numpy.arctan2
  • numpy.arctanh
  • numpy.argsort
  • numpy.bitwise_and
  • numpy.bitwise_or
  • numpy.bitwise_xor
  • numpy.cbrt
  • numpy.ceil
  • numpy.conjugate
  • numpy.copysign
  • numpy.cos
  • numpy.cosh
  • numpy.deg2rad
  • numpy.degrees
  • numpy.divide
  • numpy.divmod
  • numpy.equal
  • numpy.exp
  • numpy.exp2
  • numpy.expm1
  • numpy.fabs
  • numpy.float_power
  • numpy.floor
  • numpy.floor_divide
  • numpy.fmax
  • numpy.fmin
  • numpy.fmod
  • numpy.gcd
  • numpy.greater
  • numpy.greater_equal
  • numpy.hypot
  • numpy.invert
  • numpy.isfinite
  • numpy.isinf
  • numpy.isnan
  • numpy.isnat
  • numpy.lcm
  • numpy.ldexp
  • numpy.left_shift
  • numpy.less
  • numpy.less_equal
  • numpy.log
  • numpy.log10
  • numpy.log1p
  • numpy.log2
  • numpy.logaddexp
  • numpy.logaddexp2
  • numpy.logical_and
  • numpy.logical_not
  • numpy.logical_or
  • numpy.logical_xor
  • numpy.maximum
  • numpy.minimum
  • numpy.multiply
  • numpy.ndenumerate
  • numpy.ndindex
  • numpy.nditer
  • numpy.negative
  • numpy.nextafter
  • numpy.nonzero
  • numpy.not_equal
  • numpy.polynomial.polynomial.Polynomial
  • numpy.positive
  • numpy.power
  • numpy.rad2deg
  • numpy.radians
  • numpy.ravel
  • numpy.reciprocal
  • numpy.remainder
  • numpy.right_shift
  • numpy.rint
  • numpy.sign
  • numpy.signbit
  • numpy.sin
  • numpy.sinh
  • numpy.spacing
  • numpy.sqrt
  • numpy.square
  • numpy.subtract
  • numpy.sum
  • numpy.tan
  • numpy.tanh
  • numpy.trunc