列表

这显示了编译器内部注册表（例如，降低定义）中的列表。这些信息作为开发者参考提供。在可能的情况下，通过 GitHub 链接提供源代码链接。

新样式列表

以下列表由 numba.help.inspector.write_listings() 生成。用户可以运行 python -m numba.help.inspector --format=rst <package> 以重新生成文档。

• 内置函数列表
  • builtins
• 数学函数列表
  • math
• cmath 函数列表
  • cmath
• numpy 函数列表
  • 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

旧样式列表

• 降低列表
  • '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')
  • (<class 'numba.core.types.containers.ListType'>, 'copy')
  • (<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')
  • (<class 'numba.core.types.misc.UnicodeType'>, 'count')
  • (<class 'numba.core.types.misc.UnicodeType'>, 'endswith')
  • (<class 'numba.core.types.misc.UnicodeType'>, 'expandtabs')
  • (<class 'numba.core.types.misc.UnicodeType'>, 'find')
  • (<class 'numba.core.types.misc.UnicodeType'>, 'index')
  • (<class 'numba.core.types.misc.UnicodeType'>, 'isalnum')
  • (<class 'numba.core.types.misc.UnicodeType'>, 'isalpha')
  • (<class 'numba.core.types.misc.UnicodeType'>, 'isascii')
  • (<class 'numba.core.types.misc.UnicodeType'>, 'isdecimal')
  • (<class 'numba.core.types.misc.UnicodeType'>, 'isdigit')
  • (<class 'numba.core.types.misc.UnicodeType'>, 'isidentifier')
  • (<class 'numba.core.types.misc.UnicodeType'>, 'islower')
  • (<class 'numba.core.types.misc.UnicodeType'>, 'isnumeric')
  • (<class 'numba.core.types.misc.UnicodeType'>, 'isprintable')
  • (<class 'numba.core.types.misc.UnicodeType'>, 'isspace')
  • (<class 'numba.core.types.misc.UnicodeType'>, 'istitle')
  • (<class 'numba.core.types.misc.UnicodeType'>, 'isupper')
  • (<class 'numba.core.types.misc.UnicodeType'>, 'join')
  • (<class 'numba.core.types.misc.UnicodeType'>, 'ljust')
  • (<class 'numba.core.types.misc.UnicodeType'>, 'lower')
  • (<class 'numba.core.types.misc.UnicodeType'>, 'lstrip')
  • (<class 'numba.core.types.misc.UnicodeType'>, 'partition')
  • (<class 'numba.core.types.misc.UnicodeType'>, 'replace')
  • (<class 'numba.core.types.misc.UnicodeType'>, 'rfind')
  • (<class 'numba.core.types.misc.UnicodeType'>, 'rindex')
  • (<class 'numba.core.types.misc.UnicodeType'>, 'rjust')
  • (<class 'numba.core.types.misc.UnicodeType'>, 'rpartition')
  • (<class 'numba.core.types.misc.UnicodeType'>, 'rsplit')
  • (<class 'numba.core.types.misc.UnicodeType'>, 'rstrip')
  • (<class 'numba.core.types.misc.UnicodeType'>, 'split')
  • (<class 'numba.core.types.misc.UnicodeType'>, 'splitlines')
  • (<class 'numba.core.types.misc.UnicodeType'>, 'startswith')
  • (<class 'numba.core.types.misc.UnicodeType'>, 'strip')
  • (<class 'numba.core.types.misc.UnicodeType'>, 'swapcase')
  • (<class 'numba.core.types.misc.UnicodeType'>, 'title')
  • (<class 'numba.core.types.misc.UnicodeType'>, 'upper')
  • (<class 'numba.core.types.misc.UnicodeType'>, 'zfill')
  • (<class 'numba.core.types.npytypes.Array'>, '_zero_fill')
  • (<class 'numba.core.types.npytypes.Array'>, 'all')
  • (<class 'numba.core.types.npytypes.Array'>, 'allclose')
  • (<class 'numba.core.types.npytypes.Array'>, 'any')
  • (<class 'numba.core.types.npytypes.Array'>, 'argmax')
  • (<class 'numba.core.types.npytypes.Array'>, 'argmin')
  • (<class 'numba.core.types.npytypes.Array'>, 'clip')
  • (<class 'numba.core.types.npytypes.Array'>, 'conj')
  • (<class 'numba.core.types.npytypes.Array'>, 'conjugate')
  • (<class 'numba.core.types.npytypes.Array'>, 'cumprod')
  • (<class 'numba.core.types.npytypes.Array'>, 'cumsum')
  • (<class 'numba.core.types.npytypes.Array'>, 'dot')
  • (<class 'numba.core.types.npytypes.Array'>, 'fill')
  • (<class 'numba.core.types.npytypes.Array'>, 'max')
  • (<class 'numba.core.types.npytypes.Array'>, 'mean')
  • (<class 'numba.core.types.npytypes.Array'>, 'min')
  • (<class 'numba.core.types.npytypes.Array'>, 'prod')
  • (<class 'numba.core.types.npytypes.Array'>, 'repeat')
  • (<class 'numba.core.types.npytypes.Array'>, 'std')
  • (<class 'numba.core.types.npytypes.Array'>, 'take')
  • (<class 'numba.core.types.npytypes.Array'>, 'var')
  • (<class 'numba.core.types.npytypes.CharSeq'>, '__hash__')
  • (<class 'numba.core.types.npytypes.CharSeq'>, '_get_kind')
  • (<class 'numba.core.types.npytypes.CharSeq'>, '_to_str')
  • (<class 'numba.core.types.npytypes.CharSeq'>, 'center')
  • (<class 'numba.core.types.npytypes.CharSeq'>, 'endswith')
  • (<class 'numba.core.types.npytypes.CharSeq'>, 'find')
  • (<class 'numba.core.types.npytypes.CharSeq'>, 'isascii')
  • (<class 'numba.core.types.npytypes.CharSeq'>, 'isupper')
  • (<class 'numba.core.types.npytypes.CharSeq'>, 'join')
  • (<class 'numba.core.types.npytypes.CharSeq'>, 'ljust')
  • (<class 'numba.core.types.npytypes.CharSeq'>, 'lstrip')
  • (<class 'numba.core.types.npytypes.CharSeq'>, 'rfind')
  • (<class 'numba.core.types.npytypes.CharSeq'>, 'rjust')
  • (<class 'numba.core.types.npytypes.CharSeq'>, 'rstrip')
  • (<class 'numba.core.types.npytypes.CharSeq'>, 'split')
  • (<class 'numba.core.types.npytypes.CharSeq'>, 'startswith')
  • (<class 'numba.core.types.npytypes.CharSeq'>, 'strip')
  • (<class 'numba.core.types.npytypes.CharSeq'>, 'upper')
  • (<class 'numba.core.types.npytypes.CharSeq'>, 'zfill')
  • (<class 'numba.core.types.npytypes.NumPyRandomGeneratorType'>, 'beta')
  • (<class 'numba.core.types.npytypes.NumPyRandomGeneratorType'>, 'binomial')
  • (<class 'numba.core.types.npytypes.NumPyRandomGeneratorType'>, 'chisquare')
  • (<class 'numba.core.types.npytypes.NumPyRandomGeneratorType'>, 'exponential')
  • (<class 'numba.core.types.npytypes.NumPyRandomGeneratorType'>, 'f')
  • (<class 'numba.core.types.npytypes.NumPyRandomGeneratorType'>, 'gamma')
  • (<class 'numba.core.types.npytypes.NumPyRandomGeneratorType'>, 'geometric')
  • (<class 'numba.core.types.npytypes.NumPyRandomGeneratorType'>, 'integers')
  • (<class 'numba.core.types.npytypes.NumPyRandomGeneratorType'>, 'laplace')
  • (<class 'numba.core.types.npytypes.NumPyRandomGeneratorType'>, 'logistic')
  • (<class 'numba.core.types.npytypes.NumPyRandomGeneratorType'>, 'lognormal')
  • (<class 'numba.core.types.npytypes.NumPyRandomGeneratorType'>, 'logseries')
  • (<class 'numba.core.types.npytypes.NumPyRandomGeneratorType'>, 'negative_binomial')
  • (<class 'numba.core.types.npytypes.NumPyRandomGeneratorType'>, 'noncentral_chisquare')
  • (<class 'numba.core.types.npytypes.NumPyRandomGeneratorType'>, 'noncentral_f')
  • (<class 'numba.core.types.npytypes.NumPyRandomGeneratorType'>, 'normal')
  • (<class 'numba.core.types.npytypes.NumPyRandomGeneratorType'>, 'pareto')
  • (<class 'numba.core.types.npytypes.NumPyRandomGeneratorType'>, 'permutation')
  • (<class 'numba.core.types.npytypes.NumPyRandomGeneratorType'>, 'poisson')
  • (<class 'numba.core.types.npytypes.NumPyRandomGeneratorType'>, 'power')
  • (<class 'numba.core.types.npytypes.NumPyRandomGeneratorType'>, 'random')
  • (<class 'numba.core.types.npytypes.NumPyRandomGeneratorType'>, 'rayleigh')
  • (<class 'numba.core.types.npytypes.NumPyRandomGeneratorType'>, 'shuffle')
  • (<class 'numba.core.types.npytypes.NumPyRandomGeneratorType'>, 'standard_cauchy')
  • (<class 'numba.core.types.npytypes.NumPyRandomGeneratorType'>, 'standard_exponential')
  • (<class 'numba.core.types.npytypes.NumPyRandomGeneratorType'>, 'standard_gamma')
  • (<class 'numba.core.types.npytypes.NumPyRandomGeneratorType'>, 'standard_normal')
  • (<class 'numba.core.types.npytypes.NumPyRandomGeneratorType'>, 'standard_t')
  • (<class 'numba.core.types.npytypes.NumPyRandomGeneratorType'>, 'triangular')
  • (<class 'numba.core.types.npytypes.NumPyRandomGeneratorType'>, 'uniform')
  • (<class 'numba.core.types.npytypes.NumPyRandomGeneratorType'>, 'wald')
  • (<class 'numba.core.types.npytypes.NumPyRandomGeneratorType'>, 'weibull')
  • (<class 'numba.core.types.npytypes.NumPyRandomGeneratorType'>, 'zipf')
  • (<class 'numba.core.types.npytypes.UnicodeCharSeq'>, '__hash__')
  • (<class 'numba.core.types.npytypes.UnicodeCharSeq'>, '__str__')
  • (<class 'numba.core.types.npytypes.UnicodeCharSeq'>, '_get_kind')
  • (<class 'numba.core.types.npytypes.UnicodeCharSeq'>, 'center')
  • (<class 'numba.core.types.npytypes.UnicodeCharSeq'>, 'endswith')
  • (<class 'numba.core.types.npytypes.UnicodeCharSeq'>, 'find')
  • (<class 'numba.core.types.npytypes.UnicodeCharSeq'>, 'isascii')
  • (<class 'numba.core.types.npytypes.UnicodeCharSeq'>, 'isupper')
  • (<class 'numba.core.types.npytypes.UnicodeCharSeq'>, 'join')
  • (<class 'numba.core.types.npytypes.UnicodeCharSeq'>, 'ljust')
  • (<class 'numba.core.types.npytypes.UnicodeCharSeq'>, 'lstrip')
  • (<class 'numba.core.types.npytypes.UnicodeCharSeq'>, 'rfind')
  • (<class 'numba.core.types.npytypes.UnicodeCharSeq'>, 'rjust')
  • (<class 'numba.core.types.npytypes.UnicodeCharSeq'>, 'rstrip')
  • (<class 'numba.core.types.npytypes.UnicodeCharSeq'>, 'split')
  • (<class 'numba.core.types.npytypes.UnicodeCharSeq'>, 'startswith')
  • (<class 'numba.core.types.npytypes.UnicodeCharSeq'>, 'strip')
  • (<class 'numba.core.types.npytypes.UnicodeCharSeq'>, 'upper')
  • (<class 'numba.core.types.npytypes.UnicodeCharSeq'>, 'zfill')
  • (<class 'numba.core.types.old_scalars.Boolean'>, '__hash__')
  • (<class 'numba.core.types.old_scalars.Boolean'>, '__repr__')
  • (<class 'numba.core.types.old_scalars.Boolean'>, '__str__')
  • (<class 'numba.core.types.old_scalars.Complex'>, '__hash__')
  • (<class 'numba.core.types.old_scalars.Float'>, '__hash__')
  • (<class 'numba.core.types.old_scalars.Float'>, 'view')
  • (<class 'numba.core.types.old_scalars.IntEnumMember'>, '__hash__')
  • (<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')
  • <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 'cbrt'>
  • <ufunc 'ceil'>
  • <ufunc 'conjugate'>
  • <ufunc 'copysign'>
  • <ufunc 'cos'>
  • <ufunc 'cosh'>
  • <ufunc 'deg2rad'>
  • <ufunc 'degrees'>
  • <ufunc 'divide'>
  • <ufunc 'divmod'>
  • <ufunc 'equal'>
  • <ufunc 'exp'>
  • <ufunc 'exp2'>
  • <ufunc 'expm1'>
  • <ufunc 'fabs'>
  • <ufunc 'float_power'>
  • <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 '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.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.argsort
  • numpy.ndenumerate
  • numpy.ndindex
  • numpy.nditer
  • numpy.nonzero
  • numpy.polynomial.polynomial.Polynomial
  • numpy.ravel
  • numpy.sum