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.compat
  • numpy.compat.py3k
  • numpy.compat.setup
  • numpy.core
  • numpy.core.arrayprint
  • numpy.core.defchararray
  • numpy.core.einsumfunc
  • numpy.core.fromnumeric
  • numpy.core.function_base
  • numpy.core.getlimits
  • numpy.core.machar
  • numpy.core.multiarray
  • numpy.core.numeric
  • numpy.core.numerictypes
  • numpy.core.overrides
  • numpy.core.records
  • numpy.core.setup_common
  • numpy.core.shape_base
  • numpy.core.umath
  • numpy.core.umath_tests
  • numpy.ctypeslib
  • numpy.distutils
  • numpy.distutils.ccompiler
  • 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.compaq
  • numpy.distutils.fcompiler.environment
  • 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.pathf95
  • numpy.distutils.fcompiler.pg
  • numpy.distutils.fcompiler.sun
  • numpy.distutils.fcompiler.vast
  • numpy.distutils.from_template
  • 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.setup
  • numpy.distutils.system_info
  • numpy.distutils.unixccompiler
  • numpy.doc
  • numpy.doc.basics
  • numpy.doc.broadcasting
  • numpy.doc.byteswapping
  • numpy.doc.constants
  • numpy.doc.creation
  • numpy.doc.dispatch
  • numpy.doc.glossary
  • numpy.doc.indexing
  • numpy.doc.internals
  • numpy.doc.misc
  • numpy.doc.structured_arrays
  • numpy.doc.subclassing
  • numpy.doc.ufuncs
  • numpy.dual
  • 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.f2py_testing
  • numpy.f2py.f90mod_rules
  • numpy.f2py.func2subr
  • numpy.f2py.rules
  • numpy.f2py.use_rules
  • numpy.fft
  • numpy.fft.helper
  • numpy.fft.setup
  • numpy.lib
  • numpy.lib.arraypad
  • numpy.lib.arraysetops
  • numpy.lib.arrayterator
  • numpy.lib.financial
  • numpy.lib.format
  • numpy.lib.function_base
  • numpy.lib.histograms
  • numpy.lib.index_tricks
  • numpy.lib.mixins
  • numpy.lib.nanfunctions
  • numpy.lib.npyio
  • numpy.lib.polynomial
  • numpy.lib.recfunctions
  • numpy.lib.scimath
  • numpy.lib.setup
  • numpy.lib.shape_base
  • numpy.lib.stride_tricks
  • numpy.lib.twodim_base
  • numpy.lib.type_check
  • numpy.lib.ufunclike
  • numpy.lib.user_array
  • numpy.lib.utils
  • numpy.linalg
  • numpy.linalg.lapack_lite
  • numpy.linalg.linalg
  • numpy.linalg.setup
  • numpy.ma
  • numpy.ma.bench
  • numpy.ma.core
  • numpy.ma.extras
  • numpy.ma.mrecords
  • numpy.ma.setup
  • numpy.ma.testutils
  • numpy.ma.timer_comparison
  • numpy.matlib
  • numpy.matrixlib
  • numpy.matrixlib.defmatrix
  • numpy.matrixlib.setup
  • 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.polynomial.setup
  • numpy.random
  • numpy.random.bit_generator
  • numpy.random.mtrand
  • numpy.random.setup
  • numpy.setup
  • numpy.testing
  • numpy.testing.print_coercion_tables
  • numpy.testing.setup
  • numpy.testing.utils
  • numpy.version

Old style listings

• Lowering Listing
  • 'array.argmax'
  • 'array.argmin'
  • 'array.argsort'
  • 'array.astype'
  • 'array.copy'
  • 'array.cumprod'
  • 'array.cumsum'
  • 'array.flatten'
  • 'array.item'
  • 'array.itemset'
  • 'array.max'
  • 'array.mean'
  • 'array.min'
  • 'array.nonzero'
  • 'array.prod'
  • 'array.ravel'
  • 'array.reshape'
  • 'array.sort'
  • 'array.std'
  • 'array.sum'
  • 'array.take'
  • 'array.transpose'
  • 'array.var'
  • 'array.view'
  • 'complex.conjugate'
  • 'ffi.from_buffer'
  • 'getiter'
  • 'iternext'
  • 'list.append'
  • 'list.clear'
  • 'list.copy'
  • 'list.count'
  • 'list.extend'
  • 'list.index'
  • 'list.insert'
  • 'list.pop'
  • 'list.remove'
  • 'list.reverse'
  • 'not in'
  • 'np.random.beta'
  • 'np.random.binomial'
  • 'np.random.chisquare'
  • 'np.random.exponential'
  • 'np.random.f'
  • 'np.random.gamma'
  • 'np.random.geometric'
  • 'np.random.gumbel'
  • 'np.random.hypergeometric'
  • 'np.random.laplace'
  • 'np.random.logistic'
  • 'np.random.lognormal'
  • 'np.random.logseries'
  • 'np.random.negative_binomial'
  • 'np.random.normal'
  • 'np.random.pareto'
  • 'np.random.poisson'
  • 'np.random.power'
  • 'np.random.randint'
  • 'np.random.random'
  • 'np.random.random_sample'
  • 'np.random.ranf'
  • 'np.random.rayleigh'
  • 'np.random.sample'
  • 'np.random.seed'
  • 'np.random.standard_cauchy'
  • 'np.random.standard_exponential'
  • 'np.random.standard_gamma'
  • 'np.random.standard_normal'
  • 'np.random.standard_t'
  • 'np.random.triangular'
  • 'np.random.uniform'
  • 'np.random.vonmises'
  • 'np.random.wald'
  • 'np.random.weibull'
  • 'np.random.zipf'
  • 'number.item'
  • 'print_item'
  • 'random.betavariate'
  • 'random.expovariate'
  • 'random.gammavariate'
  • 'random.gauss'
  • 'random.getrandbits'
  • 'random.lognormvariate'
  • 'random.normalvariate'
  • 'random.paretovariate'
  • 'random.randint'
  • 'random.random'
  • 'random.randrange'
  • 'random.seed'
  • 'random.triangular'
  • 'random.uniform'
  • 'random.vonmisesvariate'
  • 'random.weibullvariate'
  • 'set.add'
  • 'set.clear'
  • 'set.copy'
  • 'set.difference'
  • 'set.difference_update'
  • 'set.discard'
  • 'set.intersection'
  • 'set.intersection_update'
  • 'set.isdisjoint'
  • 'set.issubset'
  • 'set.issuperset'
  • 'set.pop'
  • 'set.remove'
  • 'set.symmetric_difference'
  • 'set.symmetric_difference_update'
  • 'set.union'
  • 'set.update'
  • 'slice.indices'
  • 'static_getitem'
  • 'static_setitem'
  • 'typed_getitem'
  • <ufunc 'absolute'>
  • <ufunc 'add'>
  • <ufunc 'arccos'>
  • <ufunc 'arccosh'>
  • <ufunc 'arcsin'>
  • <ufunc 'arcsinh'>
  • <ufunc 'arctan'>
  • <ufunc 'arctan2'>
  • <ufunc 'arctanh'>
  • <ufunc 'bitwise_and'>
  • <ufunc 'bitwise_or'>
  • <ufunc 'bitwise_xor'>
  • <ufunc 'ceil'>
  • <ufunc 'conjugate'>
  • <ufunc 'copysign'>
  • <ufunc 'cos'>
  • <ufunc 'cosh'>
  • <ufunc 'deg2rad'>
  • <ufunc 'degrees'>
  • <ufunc 'divmod'>
  • <ufunc 'equal'>
  • <ufunc 'exp'>
  • <ufunc 'exp2'>
  • <ufunc 'expm1'>
  • <ufunc 'fabs'>
  • <ufunc 'floor'>
  • <ufunc 'floor_divide'>
  • <ufunc 'fmax'>
  • <ufunc 'fmin'>
  • <ufunc 'fmod'>
  • <ufunc 'gcd'>
  • <ufunc 'greater'>
  • <ufunc 'greater_equal'>
  • <ufunc 'hypot'>
  • <ufunc 'invert'>
  • <ufunc 'isfinite'>
  • <ufunc 'isinf'>
  • <ufunc 'isnan'>
  • <ufunc 'isnat'>
  • <ufunc 'lcm'>
  • <ufunc 'ldexp'>
  • <ufunc 'left_shift'>
  • <ufunc 'less'>
  • <ufunc 'less_equal'>
  • <ufunc 'log'>
  • <ufunc 'log10'>
  • <ufunc 'log1p'>
  • <ufunc 'log2'>
  • <ufunc 'logaddexp'>
  • <ufunc 'logaddexp2'>
  • <ufunc 'logical_and'>
  • <ufunc 'logical_not'>
  • <ufunc 'logical_or'>
  • <ufunc 'logical_xor'>
  • <ufunc 'maximum'>
  • <ufunc 'minimum'>
  • <ufunc 'multiply'>
  • <ufunc 'negative'>
  • <ufunc 'nextafter'>
  • <ufunc 'not_equal'>
  • <ufunc 'positive'>
  • <ufunc 'power'>
  • <ufunc 'rad2deg'>
  • <ufunc 'radians'>
  • <ufunc 'reciprocal'>
  • <ufunc 'remainder'>
  • <ufunc 'right_shift'>
  • <ufunc 'rint'>
  • <ufunc 'sign'>
  • <ufunc 'signbit'>
  • <ufunc 'sin'>
  • <ufunc 'sinh'>
  • <ufunc 'spacing'>
  • <ufunc 'sqrt'>
  • <ufunc 'square'>
  • <ufunc 'subtract'>
  • <ufunc 'tan'>
  • <ufunc 'tanh'>
  • <ufunc 'true_divide'>
  • <ufunc 'trunc'>
  • _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.matmul
  • _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.acosh
  • cmath.asin
  • cmath.asinh
  • cmath.atan
  • cmath.atanh
  • cmath.cos
  • cmath.cosh
  • cmath.exp
  • cmath.isfinite
  • cmath.isinf
  • cmath.isnan
  • cmath.log
  • cmath.log10
  • cmath.phase
  • cmath.polar
  • cmath.rect
  • cmath.sin
  • cmath.sinh
  • cmath.sqrt
  • cmath.tan
  • cmath.tanh
  • 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.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.typing.builtins.IndexValue
  • numba.cpython.builtins.get_type_max_value
  • numba.cpython.builtins.get_type_min_value
  • numba.misc.special.pndindex
  • numba.misc.special.prange
  • numba.np.arrayobj.reshape_unchecked
  • numba.np.numpy_support.carray
  • numba.np.numpy_support.farray
  • numba.parfors.parfor.internal_prange
  • numba.stencils.stencil.stencil
  • numpy.amax
  • numpy.amin
  • numpy.angle
  • numpy.argmax
  • numpy.argmin
  • numpy.argsort
  • numpy.array
  • numpy.ascontiguousarray
  • numpy.asfortranarray
  • numpy.atleast_1d
  • numpy.atleast_2d
  • numpy.atleast_3d
  • numpy.column_stack
  • numpy.concatenate
  • numpy.copy
  • numpy.cumprod
  • numpy.cumsum
  • numpy.diag
  • numpy.dot
  • numpy.dstack
  • numpy.empty
  • numpy.empty_like
  • numpy.expand_dims
  • numpy.frombuffer
  • numpy.full
  • numpy.full_like
  • numpy.hstack
  • numpy.identity
  • numpy.linspace
  • numpy.mean
  • numpy.ndenumerate
  • numpy.ndindex
  • numpy.nditer
  • numpy.nonzero
  • numpy.ones
  • numpy.ones_like
  • numpy.prod
  • numpy.ravel
  • numpy.round_
  • numpy.sinc
  • numpy.sort
  • numpy.stack
  • numpy.std
  • numpy.sum
  • numpy.take
  • numpy.var
  • numpy.vdot
  • numpy.vstack
  • numpy.where
  • numpy.zeros
  • numpy.zeros_like