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<class 'int'> numpy.ALLOW_THREADS
<class 'type'> numpy.AxisError
<class 'int'> numpy.BUFSIZE
<class 'int'> numpy.CLIP
<class 'type'> numpy.ComplexWarning
<class 'type'> numpy.DataSource
<class 'int'> numpy.ERR_CALL
<class 'int'> numpy.ERR_DEFAULT
<class 'int'> numpy.ERR_LOG
<class 'int'> numpy.ERR_PRINT
<class 'int'> numpy.ERR_RAISE
<class 'int'> numpy.FPE_INVALID
<class 'numpy.bool_'> numpy.False_
<class 'float'> numpy.Inf
<class 'int'> numpy.MAXDIMS
<class 'int'> numpy.MAY_SHARE_EXACT
<class 'type'> numpy.MachAr
<class 'type'> numpy.ModuleDeprecationWarning
<class 'float'> numpy.NAN
<class 'float'> numpy.NINF
<class 'float'> numpy.NZERO
<class 'float'> numpy.PZERO
<class 'type'> numpy.RankWarning
<class 'int'> numpy.SHIFT_INVALID
<class 'int'> numpy.SHIFT_UNDERFLOW
<class 'tuple'> numpy.ScalarType
<class 'type'> numpy.Tester
<class 'type'> numpy.TooHardError
<class 'numpy.bool_'> numpy.True_
<class 'int'> numpy.UFUNC_BUFSIZE_DEFAULT
<class 'str'> numpy.UFUNC_PYVALS_NAME
<class 'type'> numpy.VisibleDeprecationWarning
<class 'numpy.ufunc'> numpy.abs
<class '__future__._Feature'> numpy.absolute_import
<class 'numpy.ufunc'> numpy.add
<class 'builtin_function_or_method'> numpy.add_docstring
<class 'function'> numpy.add_newdoc
<class 'builtin_function_or_method'> numpy.add_newdoc_ufunc
<class 'function'> numpy.alen
<class 'function'> numpy.all
<class 'function'> numpy.allclose
<class 'function'> numpy.alltrue
<class 'function'> numpy.amax
<class 'function'> numpy.amin
<class 'function'> numpy.angle
<class 'function'> numpy.any
<class 'function'> numpy.append
<class 'function'> numpy.apply_along_axis
<class 'function'> numpy.apply_over_axes
<class 'builtin_function_or_method'> numpy.arange
<class 'numpy.ufunc'> numpy.arccos
<class 'numpy.ufunc'> numpy.arccosh
<class 'numpy.ufunc'> numpy.arcsin
<class 'numpy.ufunc'> numpy.arcsinh
<class 'numpy.ufunc'> numpy.arctan
<class 'numpy.ufunc'> numpy.arctan2
<class 'numpy.ufunc'> numpy.arctanh
<class 'function'> numpy.argmax
<class 'function'> numpy.argmin
<class 'function'> numpy.argpartition
<class 'function'> numpy.argsort
<class 'function'> numpy.argwhere
<class 'function'> numpy.around
<class 'builtin_function_or_method'> numpy.array
<class 'function'> numpy.array2string
<class 'function'> numpy.array_equal
<class 'function'> numpy.array_equiv
<class 'function'> numpy.array_repr
<class 'function'> numpy.array_split
<class 'function'> numpy.array_str
<class 'function'> numpy.asanyarray
<class 'function'> numpy.asarray
<class 'function'> numpy.asarray_chkfinite
<class 'function'> numpy.ascontiguousarray
<class 'function'> numpy.asfarray
<class 'function'> numpy.asfortranarray
<class 'function'> numpy.asmatrix
<class 'function'> numpy.asscalar
<class 'function'> numpy.atleast_1d
<class 'function'> numpy.atleast_2d
<class 'function'> numpy.atleast_3d
<class 'function'> numpy.average
<class 'function'> numpy.bartlett
<class 'function'> numpy.base_repr
<class 'function'> numpy.binary_repr
<class 'builtin_function_or_method'> numpy.bincount
<class 'numpy.ufunc'> numpy.bitwise_and
<class 'numpy.ufunc'> numpy.bitwise_not
<class 'numpy.ufunc'> numpy.bitwise_or
<class 'numpy.ufunc'> numpy.bitwise_xor
<class 'function'> numpy.blackman
<class 'function'> numpy.block
<class 'function'> numpy.bmat
<class 'type'> numpy.bool
<class 'type'> numpy.bool8
<class 'type'> numpy.broadcast
<class 'function'> numpy.broadcast_arrays
<class 'function'> numpy.broadcast_to
<class 'builtin_function_or_method'> numpy.busday_count
<class 'builtin_function_or_method'> numpy.busday_offset
<class 'type'> numpy.busdaycalendar
<class 'type'> numpy.byte
<class 'function'> numpy.byte_bounds
<class 'type'> numpy.bytes0
<class 'numpy.lib.index_tricks.CClass'> numpy.c_
<class 'builtin_function_or_method'> numpy.can_cast
<class 'numpy.core.numerictypes._typedict'> numpy.cast
<class 'numpy.ufunc'> numpy.cbrt
<class 'type'> numpy.cdouble
<class 'numpy.ufunc'> numpy.ceil
<class 'function'> numpy.char.add
<class 'function'> numpy.char.array
<class 'functools.partial'> numpy.char.array_function_dispatch
<class 'function'> numpy.char.asarray
<class 'function'> numpy.char.asbytes
<class 'function'> numpy.char.capitalize
<class 'function'> numpy.char.center
<class 'type'> numpy.char.character
<class 'type'> numpy.char.chararray
<class 'builtin_function_or_method'> numpy.char.compare_chararrays
<class 'function'> numpy.char.count
<class 'function'> numpy.char.decode
<class '__future__._Feature'> numpy.char.division
<class 'function'> numpy.char.encode
<class 'function'> numpy.char.endswith
<class 'function'> numpy.char.equal
<class 'function'> numpy.char.expandtabs
<class 'function'> numpy.char.find
<class 'type'> numpy.char.functools.RLock
<class 'tuple'> numpy.char.functools.WRAPPER_ASSIGNMENTS
<class 'tuple'> numpy.char.functools.WRAPPER_UPDATES
<class 'builtin_function_or_method'> numpy.char.functools.cmp_to_key
<class 'builtin_function_or_method'> numpy.char.functools.get_cache_token
<class 'function'> numpy.char.functools.lru_cache
<class 'function'> numpy.char.functools.namedtuple
<class 'type'> numpy.char.functools.partial
<class 'type'> numpy.char.functools.partialmethod
<class 'function'> numpy.char.functools.recursive_repr
<class 'builtin_function_or_method'> numpy.char.functools.reduce
<class 'function'> numpy.char.functools.singledispatch
<class 'function'> numpy.char.functools.total_ordering
<class 'function'> numpy.char.functools.update_wrapper
<class 'function'> numpy.char.functools.wraps
<class 'function'> numpy.char.greater
<class 'function'> numpy.char.greater_equal
<class 'function'> numpy.char.index
<class 'type'> numpy.char.integer
<class 'function'> numpy.char.isalnum
<class 'function'> numpy.char.isalpha
<class 'function'> numpy.char.isdecimal
<class 'function'> numpy.char.isdigit
<class 'function'> numpy.char.islower
<class 'function'> numpy.char.isnumeric
<class 'function'> numpy.char.isspace
<class 'function'> numpy.char.istitle
<class 'function'> numpy.char.isupper
<class 'function'> numpy.char.join
<class 'function'> numpy.char.less
<class 'function'> numpy.char.less_equal
<class 'function'> numpy.char.ljust
<class 'type'> numpy.char.long
<class 'function'> numpy.char.lower
<class 'function'> numpy.char.lstrip
<class 'function'> numpy.char.mod
<class 'function'> numpy.char.multiply
<class 'type'> numpy.char.ndarray
<class 'function'> numpy.char.not_equal
<class 'type'> numpy.char.object_
<class 'type'> numpy.char.overrides.ArgSpec
<class 'bool'> numpy.char.overrides.ENABLE_ARRAY_FUNCTION
<class 'function'> numpy.char.overrides.array_function_dispatch
<class 'function'> numpy.char.overrides.array_function_from_dispatcher
<class 'abc.ABCMeta'> numpy.char.overrides.collections.ChainMap
<class 'type'> numpy.char.overrides.collections.Counter
<class 'type'> numpy.char.overrides.collections.OrderedDict
<class 'abc.ABCMeta'> numpy.char.overrides.collections.UserDict
<class 'abc.ABCMeta'> numpy.char.overrides.collections.UserList
<class 'abc.ABCMeta'> numpy.char.overrides.collections.UserString
<class 'abc.ABCMeta'> numpy.char.overrides.collections.abc.AsyncGenerator
<class 'abc.ABCMeta'> numpy.char.overrides.collections.abc.AsyncIterable
<class 'abc.ABCMeta'> numpy.char.overrides.collections.abc.AsyncIterator
<class 'abc.ABCMeta'> numpy.char.overrides.collections.abc.Awaitable
<class 'abc.ABCMeta'> numpy.char.overrides.collections.abc.ByteString
<class 'abc.ABCMeta'> numpy.char.overrides.collections.abc.Callable
<class 'abc.ABCMeta'> numpy.char.overrides.collections.abc.Collection
<class 'abc.ABCMeta'> numpy.char.overrides.collections.abc.Container
<class 'abc.ABCMeta'> numpy.char.overrides.collections.abc.Coroutine
<class 'abc.ABCMeta'> numpy.char.overrides.collections.abc.Generator
<class 'abc.ABCMeta'> numpy.char.overrides.collections.abc.Hashable
<class 'abc.ABCMeta'> numpy.char.overrides.collections.abc.ItemsView
<class 'abc.ABCMeta'> numpy.char.overrides.collections.abc.Iterable
<class 'abc.ABCMeta'> numpy.char.overrides.collections.abc.Iterator
<class 'abc.ABCMeta'> numpy.char.overrides.collections.abc.KeysView
<class 'abc.ABCMeta'> numpy.char.overrides.collections.abc.Mapping
<class 'abc.ABCMeta'> numpy.char.overrides.collections.abc.MappingView
<class 'abc.ABCMeta'> numpy.char.overrides.collections.abc.MutableMapping
<class 'abc.ABCMeta'> numpy.char.overrides.collections.abc.MutableSequence
<class 'abc.ABCMeta'> numpy.char.overrides.collections.abc.MutableSet
<class 'abc.ABCMeta'> numpy.char.overrides.collections.abc.Reversible
<class 'abc.ABCMeta'> numpy.char.overrides.collections.abc.Sequence
<class 'abc.ABCMeta'> numpy.char.overrides.collections.abc.Set
<class 'abc.ABCMeta'> numpy.char.overrides.collections.abc.Sized
<class 'abc.ABCMeta'> numpy.char.overrides.collections.abc.ValuesView
<class 'type'> numpy.char.overrides.collections.defaultdict
<class 'type'> numpy.char.overrides.collections.deque
<class 'function'> numpy.char.overrides.getargspec
<class 'builtin_function_or_method'> numpy.char.overrides.implement_array_function
<class 'type'> numpy.char.overrides.os.DirEntry
<class 'int'> numpy.char.overrides.os.EX_CANTCREAT
<class 'int'> numpy.char.overrides.os.EX_CONFIG
<class 'int'> numpy.char.overrides.os.EX_DATAERR
<class 'int'> numpy.char.overrides.os.EX_IOERR
<class 'int'> numpy.char.overrides.os.EX_NOHOST
<class 'int'> numpy.char.overrides.os.EX_NOINPUT
<class 'int'> numpy.char.overrides.os.EX_NOPERM
<class 'int'> numpy.char.overrides.os.EX_NOUSER
<class 'int'> numpy.char.overrides.os.EX_OSERR
<class 'int'> numpy.char.overrides.os.EX_OSFILE
<class 'int'> numpy.char.overrides.os.EX_PROTOCOL
<class 'int'> numpy.char.overrides.os.EX_SOFTWARE
<class 'int'> numpy.char.overrides.os.EX_TEMPFAIL
<class 'int'> numpy.char.overrides.os.EX_UNAVAILABLE
<class 'int'> numpy.char.overrides.os.EX_USAGE
<class 'int'> numpy.char.overrides.os.NGROUPS_MAX
<class 'int'> numpy.char.overrides.os.O_APPEND
<class 'int'> numpy.char.overrides.os.O_ASYNC
<class 'int'> numpy.char.overrides.os.O_CLOEXEC
<class 'int'> numpy.char.overrides.os.O_DIRECT
<class 'int'> numpy.char.overrides.os.O_DIRECTORY
<class 'int'> numpy.char.overrides.os.O_DSYNC
<class 'int'> numpy.char.overrides.os.O_EXCL
<class 'int'> numpy.char.overrides.os.O_NDELAY
<class 'int'> numpy.char.overrides.os.O_NOATIME
<class 'int'> numpy.char.overrides.os.O_NOCTTY
<class 'int'> numpy.char.overrides.os.O_NOFOLLOW
<class 'int'> numpy.char.overrides.os.O_NONBLOCK
<class 'int'> numpy.char.overrides.os.O_RSYNC
<class 'int'> numpy.char.overrides.os.O_SYNC
<class 'int'> numpy.char.overrides.os.O_TRUNC
<class 'abc.ABCMeta'> numpy.char.overrides.os.PathLike
<class 'int'> numpy.char.overrides.os.RTLD_NODELETE
<class 'int'> numpy.char.overrides.os.SCHED_RESET_ON_FORK
<class 'int'> numpy.char.overrides.os.ST_NOATIME
<class 'int'> numpy.char.overrides.os.ST_NODIRATIME
<class 'int'> numpy.char.overrides.os.ST_RELATIME
<class 'int'> numpy.char.overrides.os.ST_SYNCHRONOUS
<class 'int'> numpy.char.overrides.os.TMP_MAX
<class 'builtin_function_or_method'> numpy.char.overrides.os.WCOREDUMP
<class 'builtin_function_or_method'> numpy.char.overrides.os.WEXITSTATUS
<class 'builtin_function_or_method'> numpy.char.overrides.os.WIFCONTINUED
<class 'builtin_function_or_method'> numpy.char.overrides.os.WIFEXITED
<class 'builtin_function_or_method'> numpy.char.overrides.os.WIFSIGNALED
<class 'builtin_function_or_method'> numpy.char.overrides.os.WIFSTOPPED
<class 'int'> numpy.char.overrides.os.WNOWAIT
<class 'builtin_function_or_method'> numpy.char.overrides.os.WSTOPSIG
<class 'builtin_function_or_method'> numpy.char.overrides.os.WTERMSIG
<class 'int'> numpy.char.overrides.os.XATTR_SIZE_MAX
<class 'abc.ABCMeta'> numpy.char.overrides.os.abc.ABC
<class 'type'> numpy.char.overrides.os.abc.ABCMeta
<class 'type'> numpy.char.overrides.os.abc.abstractclassmethod
<class 'function'> numpy.char.overrides.os.abc.abstractmethod
<class 'type'> numpy.char.overrides.os.abc.abstractproperty
<class 'type'> numpy.char.overrides.os.abc.abstractstaticmethod
<class 'builtin_function_or_method'> numpy.char.overrides.os.abort
<class 'builtin_function_or_method'> numpy.char.overrides.os.access
<class 'NoneType'> numpy.char.overrides.os.altsep
<class 'builtin_function_or_method'> numpy.char.overrides.os.chdir
<class 'builtin_function_or_method'> numpy.char.overrides.os.chmod
<class 'builtin_function_or_method'> numpy.char.overrides.os.chown
<class 'builtin_function_or_method'> numpy.char.overrides.os.chroot
<class 'builtin_function_or_method'> numpy.char.overrides.os.close
<class 'builtin_function_or_method'> numpy.char.overrides.os.closerange
<class 'builtin_function_or_method'> numpy.char.overrides.os.confstr
<class 'dict'> numpy.char.overrides.os.confstr_names
<class 'builtin_function_or_method'> numpy.char.overrides.os.cpu_count
<class 'builtin_function_or_method'> numpy.char.overrides.os.ctermid
<class 'str'> numpy.char.overrides.os.curdir
<class 'str'> numpy.char.overrides.os.defpath
<class 'builtin_function_or_method'> numpy.char.overrides.os.device_encoding
<class 'str'> numpy.char.overrides.os.devnull
<class 'builtin_function_or_method'> numpy.char.overrides.os.dup
<class 'builtin_function_or_method'> numpy.char.overrides.os.dup2
<class 'os._Environ'> numpy.char.overrides.os.environ
<class 'os._Environ'> numpy.char.overrides.os.environb
<class 'type'> numpy.char.overrides.os.error
<class 'function'> numpy.char.overrides.os.execl
<class 'function'> numpy.char.overrides.os.execle
<class 'function'> numpy.char.overrides.os.execlp
<class 'function'> numpy.char.overrides.os.execlpe
<class 'builtin_function_or_method'> numpy.char.overrides.os.execv
<class 'builtin_function_or_method'> numpy.char.overrides.os.execve
<class 'function'> numpy.char.overrides.os.execvp
<class 'function'> numpy.char.overrides.os.execvpe
<class 'builtin_function_or_method'> numpy.char.overrides.os.fchdir
<class 'builtin_function_or_method'> numpy.char.overrides.os.fchmod
<class 'builtin_function_or_method'> numpy.char.overrides.os.fchown
<class 'builtin_function_or_method'> numpy.char.overrides.os.fdatasync
<class 'function'> numpy.char.overrides.os.fdopen
<class 'builtin_function_or_method'> numpy.char.overrides.os.fork
<class 'builtin_function_or_method'> numpy.char.overrides.os.forkpty
<class 'builtin_function_or_method'> numpy.char.overrides.os.fpathconf
<class 'function'> numpy.char.overrides.os.fsdecode
<class 'function'> numpy.char.overrides.os.fsencode
<class 'builtin_function_or_method'> numpy.char.overrides.os.fspath
<class 'builtin_function_or_method'> numpy.char.overrides.os.fstat
<class 'builtin_function_or_method'> numpy.char.overrides.os.fstatvfs
<class 'builtin_function_or_method'> numpy.char.overrides.os.fsync
<class 'builtin_function_or_method'> numpy.char.overrides.os.ftruncate
<class 'function'> numpy.char.overrides.os.fwalk
<class 'builtin_function_or_method'> numpy.char.overrides.os.get_blocking
<class 'function'> numpy.char.overrides.os.get_exec_path
<class 'builtin_function_or_method'> numpy.char.overrides.os.get_inheritable
<class 'builtin_function_or_method'> numpy.char.overrides.os.get_terminal_size
<class 'builtin_function_or_method'> numpy.char.overrides.os.getcwd
<class 'builtin_function_or_method'> numpy.char.overrides.os.getcwdb
<class 'builtin_function_or_method'> numpy.char.overrides.os.getegid
<class 'function'> numpy.char.overrides.os.getenv
<class 'function'> numpy.char.overrides.os.getenvb
<class 'builtin_function_or_method'> numpy.char.overrides.os.geteuid
<class 'builtin_function_or_method'> numpy.char.overrides.os.getgid
<class 'builtin_function_or_method'> numpy.char.overrides.os.getgrouplist
<class 'builtin_function_or_method'> numpy.char.overrides.os.getgroups
<class 'builtin_function_or_method'> numpy.char.overrides.os.getloadavg
<class 'builtin_function_or_method'> numpy.char.overrides.os.getlogin
<class 'builtin_function_or_method'> numpy.char.overrides.os.getpgid
<class 'builtin_function_or_method'> numpy.char.overrides.os.getpgrp
<class 'builtin_function_or_method'> numpy.char.overrides.os.getpid
<class 'builtin_function_or_method'> numpy.char.overrides.os.getppid
<class 'builtin_function_or_method'> numpy.char.overrides.os.getpriority
<class 'builtin_function_or_method'> numpy.char.overrides.os.getresgid
<class 'builtin_function_or_method'> numpy.char.overrides.os.getresuid
<class 'builtin_function_or_method'> numpy.char.overrides.os.getsid
<class 'builtin_function_or_method'> numpy.char.overrides.os.getuid
<class 'builtin_function_or_method'> numpy.char.overrides.os.getxattr
<class 'builtin_function_or_method'> numpy.char.overrides.os.initgroups
<class 'builtin_function_or_method'> numpy.char.overrides.os.isatty
<class 'builtin_function_or_method'> numpy.char.overrides.os.kill
<class 'builtin_function_or_method'> numpy.char.overrides.os.killpg
<class 'builtin_function_or_method'> numpy.char.overrides.os.lchown
<class 'str'> numpy.char.overrides.os.linesep
<class 'builtin_function_or_method'> numpy.char.overrides.os.link
<class 'builtin_function_or_method'> numpy.char.overrides.os.listdir
<class 'builtin_function_or_method'> numpy.char.overrides.os.listxattr
<class 'builtin_function_or_method'> numpy.char.overrides.os.lockf
<class 'builtin_function_or_method'> numpy.char.overrides.os.lseek
<class 'builtin_function_or_method'> numpy.char.overrides.os.lstat
<class 'builtin_function_or_method'> numpy.char.overrides.os.major
<class 'builtin_function_or_method'> numpy.char.overrides.os.makedev
<class 'function'> numpy.char.overrides.os.makedirs
<class 'builtin_function_or_method'> numpy.char.overrides.os.minor
<class 'builtin_function_or_method'> numpy.char.overrides.os.mkdir
<class 'builtin_function_or_method'> numpy.char.overrides.os.mkfifo
<class 'builtin_function_or_method'> numpy.char.overrides.os.mknod
<class 'str'> numpy.char.overrides.os.name
<class 'builtin_function_or_method'> numpy.char.overrides.os.nice
<class 'builtin_function_or_method'> numpy.char.overrides.os.open
<class 'builtin_function_or_method'> numpy.char.overrides.os.openpty
<class 'str'> numpy.char.overrides.os.pardir
<class 'function'> numpy.char.overrides.os.path.abspath
<class 'function'> numpy.char.overrides.os.path.basename
<class 'function'> numpy.char.overrides.os.path.commonpath
<class 'function'> numpy.char.overrides.os.path.commonprefix
<class 'function'> numpy.char.overrides.os.path.dirname
<class 'function'> numpy.char.overrides.os.path.exists
<class 'function'> numpy.char.overrides.os.path.expanduser
<class 'function'> numpy.char.overrides.os.path.expandvars
<class 'function'> numpy.char.overrides.os.path.genericpath.getatime
<class 'function'> numpy.char.overrides.os.path.genericpath.getctime
<class 'function'> numpy.char.overrides.os.path.genericpath.getmtime
<class 'function'> numpy.char.overrides.os.path.genericpath.getsize
<class 'function'> numpy.char.overrides.os.path.genericpath.isdir
<class 'function'> numpy.char.overrides.os.path.genericpath.isfile
<class 'function'> numpy.char.overrides.os.path.genericpath.samefile
<class 'function'> numpy.char.overrides.os.path.genericpath.sameopenfile
<class 'function'> numpy.char.overrides.os.path.genericpath.samestat
<class 'int'> numpy.char.overrides.os.path.genericpath.stat.FILE_ATTRIBUTE_COMPRESSED
<class 'int'> numpy.char.overrides.os.path.genericpath.stat.FILE_ATTRIBUTE_ENCRYPTED
<class 'int'> numpy.char.overrides.os.path.genericpath.stat.FILE_ATTRIBUTE_INTEGRITY_STREAM
<class 'int'> numpy.char.overrides.os.path.genericpath.stat.FILE_ATTRIBUTE_NOT_CONTENT_INDEXED
<class 'int'> numpy.char.overrides.os.path.genericpath.stat.FILE_ATTRIBUTE_NO_SCRUB_DATA
<class 'int'> numpy.char.overrides.os.path.genericpath.stat.FILE_ATTRIBUTE_OFFLINE
<class 'int'> numpy.char.overrides.os.path.genericpath.stat.FILE_ATTRIBUTE_REPARSE_POINT
<class 'int'> numpy.char.overrides.os.path.genericpath.stat.FILE_ATTRIBUTE_SPARSE_FILE
<class 'int'> numpy.char.overrides.os.path.genericpath.stat.FILE_ATTRIBUTE_VIRTUAL
<class 'int'> numpy.char.overrides.os.path.genericpath.stat.SF_APPEND
<class 'int'> numpy.char.overrides.os.path.genericpath.stat.SF_ARCHIVED
<class 'int'> numpy.char.overrides.os.path.genericpath.stat.SF_IMMUTABLE
<class 'int'> numpy.char.overrides.os.path.genericpath.stat.SF_NOUNLINK
<class 'int'> numpy.char.overrides.os.path.genericpath.stat.SF_SNAPSHOT
<class 'int'> numpy.char.overrides.os.path.genericpath.stat.ST_ATIME
<class 'int'> numpy.char.overrides.os.path.genericpath.stat.S_ENFMT
<class 'int'> numpy.char.overrides.os.path.genericpath.stat.S_IFBLK
<class 'int'> numpy.char.overrides.os.path.genericpath.stat.S_IFCHR
<class 'int'> numpy.char.overrides.os.path.genericpath.stat.S_IFDIR
<class 'int'> numpy.char.overrides.os.path.genericpath.stat.S_IFIFO
<class 'int'> numpy.char.overrides.os.path.genericpath.stat.S_IFLNK
<class 'builtin_function_or_method'> numpy.char.overrides.os.path.genericpath.stat.S_IFMT
<class 'int'> numpy.char.overrides.os.path.genericpath.stat.S_IFREG
<class 'int'> numpy.char.overrides.os.path.genericpath.stat.S_IFSOCK
<class 'builtin_function_or_method'> numpy.char.overrides.os.path.genericpath.stat.S_IMODE
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<class 'int'> numpy.char.overrides.os.path.genericpath.stat.S_IRWXU
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<class 'builtin_function_or_method'> numpy.char.overrides.os.path.genericpath.stat.S_ISCHR
<class 'builtin_function_or_method'> numpy.char.overrides.os.path.genericpath.stat.S_ISDIR
<class 'builtin_function_or_method'> numpy.char.overrides.os.path.genericpath.stat.S_ISDOOR
<class 'builtin_function_or_method'> numpy.char.overrides.os.path.genericpath.stat.S_ISFIFO
<class 'int'> numpy.char.overrides.os.path.genericpath.stat.S_ISGID
<class 'builtin_function_or_method'> numpy.char.overrides.os.path.genericpath.stat.S_ISLNK
<class 'builtin_function_or_method'> numpy.char.overrides.os.path.genericpath.stat.S_ISPORT
<class 'builtin_function_or_method'> numpy.char.overrides.os.path.genericpath.stat.S_ISREG
<class 'builtin_function_or_method'> numpy.char.overrides.os.path.genericpath.stat.S_ISSOCK
<class 'int'> numpy.char.overrides.os.path.genericpath.stat.S_ISUID
<class 'int'> numpy.char.overrides.os.path.genericpath.stat.S_ISVTX
<class 'builtin_function_or_method'> numpy.char.overrides.os.path.genericpath.stat.S_ISWHT
<class 'int'> numpy.char.overrides.os.path.genericpath.stat.UF_HIDDEN
<class 'builtin_function_or_method'> numpy.char.overrides.os.path.genericpath.stat.filemode
<class 'function'> numpy.char.overrides.os.path.isabs
<class 'function'> numpy.char.overrides.os.path.islink
<class 'function'> numpy.char.overrides.os.path.ismount
<class 'function'> numpy.char.overrides.os.path.join
<class 'function'> numpy.char.overrides.os.path.lexists
<class 'function'> numpy.char.overrides.os.path.normcase
<class 'function'> numpy.char.overrides.os.path.normpath
<class 'str'> numpy.char.overrides.os.path.pathsep
<class 'function'> numpy.char.overrides.os.path.realpath
<class 'function'> numpy.char.overrides.os.path.relpath
<class 'str'> numpy.char.overrides.os.path.sep
<class 'function'> numpy.char.overrides.os.path.split
<class 'function'> numpy.char.overrides.os.path.splitdrive
<class 'function'> numpy.char.overrides.os.path.splitext
<class 'str'> numpy.char.overrides.os.path.sys.abiflags
<class 'int'> numpy.char.overrides.os.path.sys.api_version
<class 'list'> numpy.char.overrides.os.path.sys.argv
<class 'str'> numpy.char.overrides.os.path.sys.base_exec_prefix
<class 'str'> numpy.char.overrides.os.path.sys.base_prefix
<class 'builtin_function_or_method'> numpy.char.overrides.os.path.sys.breakpointhook
<class 'tuple'> numpy.char.overrides.os.path.sys.builtin_module_names
<class 'str'> numpy.char.overrides.os.path.sys.byteorder
<class 'builtin_function_or_method'> numpy.char.overrides.os.path.sys.call_tracing
<class 'builtin_function_or_method'> numpy.char.overrides.os.path.sys.callstats
<class 'str'> numpy.char.overrides.os.path.sys.copyright
<class 'builtin_function_or_method'> numpy.char.overrides.os.path.sys.displayhook
<class 'builtin_function_or_method'> numpy.char.overrides.os.path.sys.exc_info
<class 'builtin_function_or_method'> numpy.char.overrides.os.path.sys.excepthook
<class 'str'> numpy.char.overrides.os.path.sys.exec_prefix
<class 'str'> numpy.char.overrides.os.path.sys.executable
<class 'builtin_function_or_method'> numpy.char.overrides.os.path.sys.exit
<class 'sys.flags'> numpy.char.overrides.os.path.sys.flags
<class 'sys.float_info'> numpy.char.overrides.os.path.sys.float_info
<class 'str'> numpy.char.overrides.os.path.sys.float_repr_style
<class 'builtin_function_or_method'> numpy.char.overrides.os.path.sys.get_asyncgen_hooks
<class 'builtin_function_or_method'> numpy.char.overrides.os.path.sys.get_coroutine_origin_tracking_depth
<class 'builtin_function_or_method'> numpy.char.overrides.os.path.sys.get_coroutine_wrapper
<class 'builtin_function_or_method'> numpy.char.overrides.os.path.sys.getallocatedblocks
<class 'builtin_function_or_method'> numpy.char.overrides.os.path.sys.getcheckinterval
<class 'builtin_function_or_method'> numpy.char.overrides.os.path.sys.getdefaultencoding
<class 'builtin_function_or_method'> numpy.char.overrides.os.path.sys.getdlopenflags
<class 'builtin_function_or_method'> numpy.char.overrides.os.path.sys.getfilesystemencodeerrors
<class 'builtin_function_or_method'> numpy.char.overrides.os.path.sys.getfilesystemencoding
<class 'builtin_function_or_method'> numpy.char.overrides.os.path.sys.getprofile
<class 'builtin_function_or_method'> numpy.char.overrides.os.path.sys.getrecursionlimit
<class 'builtin_function_or_method'> numpy.char.overrides.os.path.sys.getrefcount
<class 'builtin_function_or_method'> numpy.char.overrides.os.path.sys.getsizeof
<class 'builtin_function_or_method'> numpy.char.overrides.os.path.sys.getswitchinterval
<class 'builtin_function_or_method'> numpy.char.overrides.os.path.sys.gettrace
<class 'sys.hash_info'> numpy.char.overrides.os.path.sys.hash_info
<class 'int'> numpy.char.overrides.os.path.sys.hexversion
<class 'types.SimpleNamespace'> numpy.char.overrides.os.path.sys.implementation
<class 'sys.int_info'> numpy.char.overrides.os.path.sys.int_info
<class 'builtin_function_or_method'> numpy.char.overrides.os.path.sys.intern
<class 'builtin_function_or_method'> numpy.char.overrides.os.path.sys.is_finalizing
<class 'int'> numpy.char.overrides.os.path.sys.maxsize
<class 'int'> numpy.char.overrides.os.path.sys.maxunicode
<class 'list'> numpy.char.overrides.os.path.sys.meta_path
<class 'dict'> numpy.char.overrides.os.path.sys.modules
<class 'list'> numpy.char.overrides.os.path.sys.path
<class 'list'> numpy.char.overrides.os.path.sys.path_hooks
<class 'dict'> numpy.char.overrides.os.path.sys.path_importer_cache
<class 'str'> numpy.char.overrides.os.path.sys.platform
<class 'str'> numpy.char.overrides.os.path.sys.prefix
<class 'builtin_function_or_method'> numpy.char.overrides.os.path.sys.set_asyncgen_hooks
<class 'builtin_function_or_method'> numpy.char.overrides.os.path.sys.set_coroutine_origin_tracking_depth
<class 'builtin_function_or_method'> numpy.char.overrides.os.path.sys.set_coroutine_wrapper
<class 'builtin_function_or_method'> numpy.char.overrides.os.path.sys.setcheckinterval
<class 'builtin_function_or_method'> numpy.char.overrides.os.path.sys.setdlopenflags
<class 'builtin_function_or_method'> numpy.char.overrides.os.path.sys.setprofile
<class 'builtin_function_or_method'> numpy.char.overrides.os.path.sys.setrecursionlimit
<class 'builtin_function_or_method'> numpy.char.overrides.os.path.sys.setswitchinterval
<class 'builtin_function_or_method'> numpy.char.overrides.os.path.sys.settrace
<class '_io.TextIOWrapper'> numpy.char.overrides.os.path.sys.stderr
<class '_io.TextIOWrapper'> numpy.char.overrides.os.path.sys.stdin
<class '_io.TextIOWrapper'> numpy.char.overrides.os.path.sys.stdout
<class 'sys.thread_info'> numpy.char.overrides.os.path.sys.thread_info
<class 'str'> numpy.char.overrides.os.path.sys.version
<class 'sys.version_info'> numpy.char.overrides.os.path.sys.version_info
<class 'list'> numpy.char.overrides.os.path.sys.warnoptions
<class 'builtin_function_or_method'> numpy.char.overrides.os.pathconf
<class 'dict'> numpy.char.overrides.os.pathconf_names
<class 'builtin_function_or_method'> numpy.char.overrides.os.pipe
<class 'builtin_function_or_method'> numpy.char.overrides.os.pipe2
<class 'function'> numpy.char.overrides.os.popen
<class 'builtin_function_or_method'> numpy.char.overrides.os.posix_fadvise
<class 'builtin_function_or_method'> numpy.char.overrides.os.posix_fallocate
<class 'builtin_function_or_method'> numpy.char.overrides.os.pread
<class 'builtin_function_or_method'> numpy.char.overrides.os.preadv
<class 'builtin_function_or_method'> numpy.char.overrides.os.putenv
<class 'builtin_function_or_method'> numpy.char.overrides.os.pwrite
<class 'builtin_function_or_method'> numpy.char.overrides.os.pwritev
<class 'builtin_function_or_method'> numpy.char.overrides.os.read
<class 'builtin_function_or_method'> numpy.char.overrides.os.readlink
<class 'builtin_function_or_method'> numpy.char.overrides.os.readv
<class 'builtin_function_or_method'> numpy.char.overrides.os.register_at_fork
<class 'builtin_function_or_method'> numpy.char.overrides.os.remove
<class 'function'> numpy.char.overrides.os.removedirs
<class 'builtin_function_or_method'> numpy.char.overrides.os.removexattr
<class 'builtin_function_or_method'> numpy.char.overrides.os.rename
<class 'function'> numpy.char.overrides.os.renames
<class 'builtin_function_or_method'> numpy.char.overrides.os.replace
<class 'builtin_function_or_method'> numpy.char.overrides.os.rmdir
<class 'builtin_function_or_method'> numpy.char.overrides.os.scandir
<class 'builtin_function_or_method'> numpy.char.overrides.os.sched_get_priority_max
<class 'builtin_function_or_method'> numpy.char.overrides.os.sched_get_priority_min
<class 'builtin_function_or_method'> numpy.char.overrides.os.sched_getaffinity
<class 'builtin_function_or_method'> numpy.char.overrides.os.sched_getparam
<class 'builtin_function_or_method'> numpy.char.overrides.os.sched_getscheduler
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<class 'builtin_function_or_method'> numpy.char.overrides.os.sched_rr_get_interval
<class 'builtin_function_or_method'> numpy.char.overrides.os.sched_setaffinity
<class 'builtin_function_or_method'> numpy.char.overrides.os.sched_setparam
<class 'builtin_function_or_method'> numpy.char.overrides.os.sched_setscheduler
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<class 'builtin_function_or_method'> numpy.char.overrides.os.sendfile
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<class 'builtin_function_or_method'> numpy.char.overrides.os.seteuid
<class 'builtin_function_or_method'> numpy.char.overrides.os.setgid
<class 'builtin_function_or_method'> numpy.char.overrides.os.setgroups
<class 'builtin_function_or_method'> numpy.char.overrides.os.setpgid
<class 'builtin_function_or_method'> numpy.char.overrides.os.setpgrp
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<class 'builtin_function_or_method'> numpy.char.overrides.os.setregid
<class 'builtin_function_or_method'> numpy.char.overrides.os.setresgid
<class 'builtin_function_or_method'> numpy.char.overrides.os.setresuid
<class 'builtin_function_or_method'> numpy.char.overrides.os.setreuid
<class 'builtin_function_or_method'> numpy.char.overrides.os.setsid
<class 'builtin_function_or_method'> numpy.char.overrides.os.setuid
<class 'builtin_function_or_method'> numpy.char.overrides.os.setxattr
<class 'function'> numpy.char.overrides.os.spawnl
<class 'function'> numpy.char.overrides.os.spawnle
<class 'function'> numpy.char.overrides.os.spawnlp
<class 'function'> numpy.char.overrides.os.spawnlpe
<class 'function'> numpy.char.overrides.os.spawnv
<class 'function'> numpy.char.overrides.os.spawnve
<class 'function'> numpy.char.overrides.os.spawnvp
<class 'function'> numpy.char.overrides.os.spawnvpe
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<class 'builtin_function_or_method'> numpy.char.overrides.os.strerror
<class 'bool'> numpy.char.overrides.os.supports_bytes_environ
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<class 'set'> numpy.char.overrides.os.supports_effective_ids
<class 'set'> numpy.char.overrides.os.supports_fd
<class 'set'> numpy.char.overrides.os.supports_follow_symlinks
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<class 'builtin_function_or_method'> numpy.char.overrides.os.sync
<class 'builtin_function_or_method'> numpy.char.overrides.os.sysconf
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<class 'builtin_function_or_method'> numpy.char.overrides.os.system
<class 'builtin_function_or_method'> numpy.char.overrides.os.tcgetpgrp
<class 'builtin_function_or_method'> numpy.char.overrides.os.tcsetpgrp
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<class 'builtin_function_or_method'> numpy.char.overrides.os.times
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<class 'builtin_function_or_method'> numpy.char.overrides.os.truncate
<class 'builtin_function_or_method'> numpy.char.overrides.os.ttyname
<class 'builtin_function_or_method'> numpy.char.overrides.os.umask
<class 'builtin_function_or_method'> numpy.char.overrides.os.uname
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<class 'builtin_function_or_method'> numpy.char.overrides.os.unlink
<class 'builtin_function_or_method'> numpy.char.overrides.os.unsetenv
<class 'builtin_function_or_method'> numpy.char.overrides.os.urandom
<class 'builtin_function_or_method'> numpy.char.overrides.os.utime
<class 'builtin_function_or_method'> numpy.char.overrides.os.wait
<class 'builtin_function_or_method'> numpy.char.overrides.os.wait3
<class 'builtin_function_or_method'> numpy.char.overrides.os.wait4
<class 'builtin_function_or_method'> numpy.char.overrides.os.waitid
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<class 'builtin_function_or_method'> numpy.char.overrides.os.waitpid
<class 'function'> numpy.char.overrides.os.walk
<class 'builtin_function_or_method'> numpy.char.overrides.os.write
<class 'builtin_function_or_method'> numpy.char.overrides.os.writev
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<class 'function'> numpy.char.overrides.verify_matching_signatures
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<class 'function'> numpy.char.replace
<class 'function'> numpy.char.rfind
<class 'function'> numpy.char.rindex
<class 'function'> numpy.char.rjust
<class 'function'> numpy.char.rpartition
<class 'function'> numpy.char.rsplit
<class 'function'> numpy.char.rstrip
<class 'function'> numpy.char.split
<class 'function'> numpy.char.splitlines
<class 'function'> numpy.char.startswith
<class 'function'> numpy.char.str_len
<class 'function'> numpy.char.strip
<class 'function'> numpy.char.swapcase
<class 'function'> numpy.char.title
<class 'function'> numpy.char.translate
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<class 'function'> numpy.char.upper
<class 'function'> numpy.char.zfill
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<class 'function'> numpy.clip
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<class 'function'> numpy.column_stack
<class 'function'> numpy.common_type
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<class 'function'> numpy.compat.asbytes_nested
<class 'function'> numpy.compat.asstr
<class 'function'> numpy.compat.asunicode
<class 'function'> numpy.compat.asunicode_nested
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<class 'type'> numpy.compat.bytes
<class 'type'> numpy.compat.contextlib_nullcontext
<class 'function'> numpy.compat.formatargspec
<class 'function'> numpy.compat.getexception
<class 'tuple'> numpy.compat.integer_types
<class 'function'> numpy.compat.is_pathlib_path
<class 'function'> numpy.compat.isfileobj
<class 'function'> numpy.compat.npy_load_module
<class 'function'> numpy.compat.open_latin1
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<class 'type'> numpy.compat.py3k.io.BufferedRandom
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<class 'type'> numpy.compat.py3k.io.BufferedWriter
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<class 'type'> numpy.compat.py3k.io.UnsupportedOperation
<class 'function'> numpy.compat.py3k.sixu
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<class 'type'> numpy.complex64
<class 'type'> numpy.complexfloating
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<class 'builtin_function_or_method'> numpy.concatenate
<class 'numpy.ufunc'> numpy.conj
<class 'function'> numpy.convolve
<class 'function'> numpy.copy
<class 'numpy.ufunc'> numpy.copysign
<class 'builtin_function_or_method'> numpy.copyto
<class 'type'> numpy.core.arrayprint.BoolFormat
<class 'type'> numpy.core.arrayprint.ComplexFloatingFormat
<class 'type'> numpy.core.arrayprint.ComplexFormat
<class 'type'> numpy.core.arrayprint.DatetimeFormat
<class 'type'> numpy.core.arrayprint.FloatFormat
<class 'type'> numpy.core.arrayprint.FloatingFormat
<class 'type'> numpy.core.arrayprint.IntegerFormat
<class 'type'> numpy.core.arrayprint.LongComplexFormat
<class 'type'> numpy.core.arrayprint.LongFloatFormat
<class 'type'> numpy.core.arrayprint.StructureFormat
<class 'type'> numpy.core.arrayprint.StructuredVoidFormat
<class 'type'> numpy.core.arrayprint.SubArrayFormat
<class 'type'> numpy.core.arrayprint.TimedeltaFormat
<class 'abc.ABCMeta'> numpy.core.arrayprint.contextlib.AbstractAsyncContextManager
<class 'abc.ABCMeta'> numpy.core.arrayprint.contextlib.AbstractContextManager
<class 'abc.ABCMeta'> numpy.core.arrayprint.contextlib.AsyncExitStack
<class 'type'> numpy.core.arrayprint.contextlib.ContextDecorator
<class 'abc.ABCMeta'> numpy.core.arrayprint.contextlib.ExitStack
<class 'function'> numpy.core.arrayprint.contextlib.asynccontextmanager
<class 'abc.ABCMeta'> numpy.core.arrayprint.contextlib.closing
<class 'function'> numpy.core.arrayprint.contextlib.contextmanager
<class 'abc.ABCMeta'> numpy.core.arrayprint.contextlib.nullcontext
<class 'abc.ABCMeta'> numpy.core.arrayprint.contextlib.redirect_stderr
<class 'abc.ABCMeta'> numpy.core.arrayprint.contextlib.redirect_stdout
<class 'abc.ABCMeta'> numpy.core.arrayprint.contextlib.suppress
<class 'builtin_function_or_method'> numpy.core.arrayprint.datetime_as_string
<class 'builtin_function_or_method'> numpy.core.arrayprint.datetime_data
<class 'builtin_function_or_method'> numpy.core.arrayprint.dragon4_positional
<class 'builtin_function_or_method'> numpy.core.arrayprint.dragon4_scientific
<class 'function'> numpy.core.arrayprint.dtype_is_implied
<class 'function'> numpy.core.arrayprint.dtype_short_repr
<class 'type'> numpy.core.arrayprint.errstate
<class 'type'> numpy.core.arrayprint.flexible
<class 'type'> numpy.core.arrayprint.float_
<class 'function'> numpy.core.arrayprint.format_float_positional
<class 'function'> numpy.core.arrayprint.format_float_scientific
<class 'builtin_function_or_method'> numpy.core.arrayprint.get_ident
<class 'function'> numpy.core.arrayprint.get_printoptions
<class 'type'> numpy.core.arrayprint.int_
<class 'type'> numpy.core.arrayprint.intc
<class 'numpy.ufunc'> numpy.core.arrayprint.isfinite
<class 'numpy.ufunc'> numpy.core.arrayprint.isinf
<class 'numpy.ufunc'> numpy.core.arrayprint.isnan
<class 'numpy.ufunc'> numpy.core.arrayprint.isnat
<class 'type'> numpy.core.arrayprint.longlong
<class 'PyCapsule'> numpy.core.arrayprint.multiarray.DATETIMEUNITS
<class 'functools.partial'> numpy.core.arrayprint.multiarray.array_function_from_c_func_and_dispatcher
<class 'builtin_function_or_method'> numpy.core.arrayprint.multiarray.c_einsum
<class 'builtin_function_or_method'> numpy.core.arrayprint.multiarray.correlate
<class 'builtin_function_or_method'> numpy.core.arrayprint.multiarray.correlate2
<class 'numpy.ufunc'> numpy.core.arrayprint.multiarray.cos
<class 'numpy.ufunc'> numpy.core.arrayprint.multiarray.cosh
<class 'builtin_function_or_method'> numpy.core.arrayprint.multiarray.count_nonzero
<class 'numpy.ufunc'> numpy.core.arrayprint.multiarray.deg2rad
<class 'numpy.ufunc'> numpy.core.arrayprint.multiarray.degrees
<class 'numpy.ufunc'> numpy.core.arrayprint.multiarray.divide
<class 'numpy.ufunc'> numpy.core.arrayprint.multiarray.divmod
<class 'builtin_function_or_method'> numpy.core.arrayprint.multiarray.dot
<class 'type'> numpy.core.arrayprint.multiarray.dtype
<class 'float'> numpy.core.arrayprint.multiarray.e
<class 'builtin_function_or_method'> numpy.core.arrayprint.multiarray.empty
<class 'builtin_function_or_method'> numpy.core.arrayprint.multiarray.empty_like
<class 'numpy.ufunc'> numpy.core.arrayprint.multiarray.equal
<class 'type'> numpy.core.arrayprint.multiarray.error
<class 'float'> numpy.core.arrayprint.multiarray.euler_gamma
<class 'numpy.ufunc'> numpy.core.arrayprint.multiarray.exp
<class 'numpy.ufunc'> numpy.core.arrayprint.multiarray.exp2
<class 'numpy.ufunc'> numpy.core.arrayprint.multiarray.expm1
<class 'numpy.ufunc'> numpy.core.arrayprint.multiarray.fabs
<class 'type'> numpy.core.arrayprint.multiarray.flagsobj
<class 'type'> numpy.core.arrayprint.multiarray.flatiter
<class 'numpy.ufunc'> numpy.core.arrayprint.multiarray.float_power
<class 'numpy.ufunc'> numpy.core.arrayprint.multiarray.floor
<class 'numpy.ufunc'> numpy.core.arrayprint.multiarray.floor_divide
<class 'numpy.ufunc'> numpy.core.arrayprint.multiarray.fmax
<class 'numpy.ufunc'> numpy.core.arrayprint.multiarray.fmin
<class 'numpy.ufunc'> numpy.core.arrayprint.multiarray.fmod
<class 'builtin_function_or_method'> numpy.core.arrayprint.multiarray.format_longfloat
<class 'numpy.ufunc'> numpy.core.arrayprint.multiarray.frexp
<class 'builtin_function_or_method'> numpy.core.arrayprint.multiarray.frombuffer
<class 'builtin_function_or_method'> numpy.core.arrayprint.multiarray.fromfile
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<class 'numpy.ma.core._DomainedBinaryOperation'> numpy.ma.core.fmod
<class 'numpy.ma.core._convert2ma'> numpy.ma.core.frombuffer
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<class 'function'> numpy.ma.core.fromflex
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<class 'function'> numpy.ma.core.getmaskarray
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<class 'numpy.ma.core._MaskedBinaryOperation'> numpy.ma.core.greater_equal
<class 'numpy.ma.core._frommethod'> numpy.ma.core.harden_mask
<class 'numpy.ma.core._MaskedBinaryOperation'> numpy.ma.core.hypot
<class 'numpy.ma.core._convert2ma'> numpy.ma.core.identity
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<class 'function'> numpy.ma.core.isMA
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<class 'function'> numpy.ma.core.is_string_or_list_of_strings
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<class 'numpy.ma.core._MaskedBinaryOperation'> numpy.ma.core.less_equal
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<class 'numpy.ma.core._MaskedUnaryOperation'> numpy.ma.core.log10
<class 'numpy.ma.core._MaskedUnaryOperation'> numpy.ma.core.log2
<class 'numpy.ma.core._MaskedBinaryOperation'> numpy.ma.core.logical_and
<class 'numpy.ma.core._MaskedUnaryOperation'> numpy.ma.core.logical_not
<class 'numpy.ma.core._MaskedBinaryOperation'> numpy.ma.core.logical_or
<class 'numpy.ma.core._MaskedBinaryOperation'> numpy.ma.core.logical_xor
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<class 'function'> numpy.ma.core.make_mask_descr
<class 'function'> numpy.ma.core.make_mask_none
<class 'function'> numpy.ma.core.mask_or
<class 'function'> numpy.ma.core.mask_rowcols
<class 'numpy.ma.core.MaskedConstant'> numpy.ma.core.masked
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<class 'function'> numpy.ma.core.masked_greater
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<class 'function'> numpy.ma.core.masked_outside
<class 'numpy.ma.core._MaskedPrintOption'> numpy.ma.core.masked_print_option
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<class 'function'> numpy.ma.core.masked_where
<class 'function'> numpy.ma.core.max
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<class 'numpy.ma.core._extrema_operation'> numpy.ma.core.maximum
<class 'function'> numpy.ma.core.maximum_fill_value
<class 'numpy.ma.core._frommethod'> numpy.ma.core.mean
<class 'function'> numpy.ma.core.min
<class 'numpy.core.numerictypes._typedict'> numpy.ma.core.min_filler
<class 'numpy.ma.core._extrema_operation'> numpy.ma.core.minimum
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<class 'numpy.ma.core._DomainedBinaryOperation'> numpy.ma.core.mod
<class 'numpy.ma.core._MaskedBinaryOperation'> numpy.ma.core.multiply
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<class 'numpy.ma.core._MaskedUnaryOperation'> numpy.ma.core.negative
<class 'numpy.ma.core._frommethod'> numpy.ma.core.nonzero
<class 'numpy.ma.core._MaskedBinaryOperation'> numpy.ma.core.not_equal
<class 'numpy.ma.core._convert2ma'> numpy.ma.core.ones
<class 'function'> numpy.ma.core.outer
<class 'function'> numpy.ma.core.power
<class 'numpy.ma.core._frommethod'> numpy.ma.core.prod
<class 'numpy.ma.core._frommethod'> numpy.ma.core.product
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<class 'function'> numpy.ma.core.put
<class 'function'> numpy.ma.core.putmask
<class 'function'> numpy.ma.core.rank
<class 'numpy.ma.core._frommethod'> numpy.ma.core.ravel
<class 'numpy.ma.core._DomainedBinaryOperation'> numpy.ma.core.remainder
<class 'numpy.ma.core._frommethod'> numpy.ma.core.repeat
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<class 'function'> numpy.ma.core.resize
<class 'function'> numpy.ma.core.right_shift
<class 'function'> numpy.ma.core.round
<class 'function'> numpy.ma.core.set_fill_value
<class 'function'> numpy.ma.core.shape
<class 'numpy.ma.core._frommethod'> numpy.ma.core.shrink_mask
<class 'numpy.ma.core._MaskedUnaryOperation'> numpy.ma.core.sin
<class 'numpy.ma.core._MaskedUnaryOperation'> numpy.ma.core.sinh
<class 'function'> numpy.ma.core.size
<class 'numpy.ma.core._frommethod'> numpy.ma.core.soften_mask
<class 'method'> numpy.ma.core.sometrue
<class 'function'> numpy.ma.core.sort
<class 'numpy.ma.core._MaskedUnaryOperation'> numpy.ma.core.sqrt
<class 'numpy.ma.core._frommethod'> numpy.ma.core.std
<class 'numpy.ma.core._MaskedBinaryOperation'> numpy.ma.core.subtract
<class 'numpy.ma.core._frommethod'> numpy.ma.core.sum
<class 'numpy.ma.core._frommethod'> numpy.ma.core.swapaxes
<class 'function'> numpy.ma.core.take
<class 'numpy.ma.core._MaskedUnaryOperation'> numpy.ma.core.tan
<class 'numpy.ma.core._MaskedUnaryOperation'> numpy.ma.core.tanh
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<class 'function'> numpy.ma.core.textwrap.dedent
<class 'function'> numpy.ma.core.textwrap.fill
<class 'function'> numpy.ma.core.textwrap.indent
<class 'function'> numpy.ma.core.textwrap.shorten
<class 'function'> numpy.ma.core.textwrap.wrap
<class 'numpy.ma.core._frommethod'> numpy.ma.core.trace
<class 'function'> numpy.ma.core.transpose
<class 'numpy.ma.core._DomainedBinaryOperation'> numpy.ma.core.true_divide
<class 'dict'> numpy.ma.core.ufunc_domain
<class 'dict'> numpy.ma.core.ufunc_fills
<class 'str'> numpy.ma.core.v
<class 'numpy.ma.core._frommethod'> numpy.ma.core.var
<class 'function'> numpy.ma.core.where
<class 'numpy.ma.core._convert2ma'> numpy.ma.core.zeros
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<class 'function'> numpy.ma.count_masked
<class 'function'> numpy.ma.cov
<class 'numpy.ma.extras._fromnxfunction_single'> numpy.ma.diagflat
<class 'numpy.ma.extras._fromnxfunction_seq'> numpy.ma.dstack
<class 'function'> numpy.ma.ediff1d
<class 'type'> numpy.ma.extras.MAxisConcatenator
<class 'function'> numpy.ma.extras.flatnotmasked_contiguous
<class 'function'> numpy.ma.extras.flatnotmasked_edges
<class 'function'> numpy.ma.extras.flatten_inplace
<class 'numpy.ma.extras._fromnxfunction_single'> numpy.ma.extras.hsplit
<class 'numpy.ma.extras._fromnxfunction_seq'> numpy.ma.extras.hstack
<class 'function'> numpy.ma.extras.in1d
<class 'function'> numpy.ma.extras.intersect1d
<class 'function'> numpy.ma.extras.isin
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<class 'function'> numpy.ma.extras.median
<class 'numpy.ma.extras.mr_class'> numpy.ma.extras.mr_
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<class 'function'> numpy.ma.extras.notmasked_edges
<class 'function'> numpy.ma.extras.polyfit
<class 'numpy.ma.extras._fromnxfunction_seq'> numpy.ma.extras.row_stack
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<class 'function'> numpy.ma.extras.setxor1d
<class 'numpy.ma.extras._fromnxfunction_seq'> numpy.ma.extras.stack
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<class 'function'> numpy.ma.extras.unique
<class 'function'> numpy.ma.extras.vander
<class 'numpy._pytesttester.PytestTester'> numpy.ma.test
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<class 'type'> numpy.polynomial.Hermite
<class 'type'> numpy.polynomial.HermiteE
<class 'type'> numpy.polynomial.Laguerre
<class 'type'> numpy.polynomial.Legendre
<class 'type'> numpy.polynomial.Polynomial
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<class 'function'> numpy.polynomial.chebyshev.chebadd
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<class 'function'> numpy.polynomial.chebyshev.chebgrid3d
<class 'function'> numpy.polynomial.chebyshev.chebint
<class 'function'> numpy.polynomial.chebyshev.chebinterpolate
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<class 'function'> numpy.polynomial.chebyshev.chebmulx
<class 'numpy.ndarray'> numpy.polynomial.chebyshev.chebone
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<class 'function'> numpy.polynomial.chebyshev.chebpts2
<class 'function'> numpy.polynomial.chebyshev.chebroots
<class 'function'> numpy.polynomial.chebyshev.chebsub
<class 'function'> numpy.polynomial.chebyshev.chebtrim
<class 'function'> numpy.polynomial.chebyshev.chebval
<class 'function'> numpy.polynomial.chebyshev.chebval2d
<class 'function'> numpy.polynomial.chebyshev.chebval3d
<class 'function'> numpy.polynomial.chebyshev.chebvander
<class 'function'> numpy.polynomial.chebyshev.chebvander2d
<class 'function'> numpy.polynomial.chebyshev.chebvander3d
<class 'function'> numpy.polynomial.chebyshev.chebweight
<class 'numpy.ndarray'> numpy.polynomial.chebyshev.chebx
<class 'numpy.ndarray'> numpy.polynomial.chebyshev.chebzero
<class 'function'> numpy.polynomial.chebyshev.poly2cheb
<class 'type'> numpy.polynomial.chebyshev.pu.PolyBase
<class 'type'> numpy.polynomial.chebyshev.pu.PolyDomainError
<class 'type'> numpy.polynomial.chebyshev.pu.PolyError
<class 'type'> numpy.polynomial.chebyshev.pu.RankWarning
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<class 'function'> numpy.polynomial.chebyshev.pu.mapdomain
<class 'function'> numpy.polynomial.chebyshev.pu.mapparms
<class 'function'> numpy.polynomial.chebyshev.pu.trimseq
<class 'function'> numpy.polynomial.hermite.herm2poly
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<class 'function'> numpy.polynomial.hermite.hermcompanion
<class 'function'> numpy.polynomial.hermite.hermder
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<class 'numpy.ndarray'> numpy.polynomial.hermite.hermdomain
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<class 'function'> numpy.polynomial.hermite.hermgrid3d
<class 'function'> numpy.polynomial.hermite.hermint
<class 'function'> numpy.polynomial.hermite.hermline
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<class 'numpy.ndarray'> numpy.polynomial.hermite.hermone
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<class 'function'> numpy.polynomial.hermite.hermvander3d
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<class 'numpy.ndarray'> numpy.polynomial.hermite.hermx
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<class 'function'> numpy.polynomial.legendre.leggrid3d
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<class 'function'> numpy.polynomial.legendre.legmulx
<class 'numpy.ndarray'> numpy.polynomial.legendre.legone
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<class 'function'> numpy.polynomial.legendre.legroots
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<class 'function'> numpy.polynomial.legendre.legval3d
<class 'function'> numpy.polynomial.legendre.legvander
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<class 'function'> numpy.polynomial.legendre.legvander3d
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<class 'numpy.ndarray'> numpy.polynomial.legendre.legx
<class 'numpy.ndarray'> numpy.polynomial.legendre.legzero
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<class 'function'> numpy.polynomial.polynomial.polycompanion
<class 'function'> numpy.polynomial.polynomial.polyder
<class 'function'> numpy.polynomial.polynomial.polydiv
<class 'numpy.ndarray'> numpy.polynomial.polynomial.polydomain
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<class 'function'> numpy.polynomial.polynomial.polyfromroots
<class 'function'> numpy.polynomial.polynomial.polygrid2d
<class 'function'> numpy.polynomial.polynomial.polygrid3d
<class 'function'> numpy.polynomial.polynomial.polyint
<class 'function'> numpy.polynomial.polynomial.polyline
<class 'function'> numpy.polynomial.polynomial.polymul
<class 'function'> numpy.polynomial.polynomial.polymulx
<class 'numpy.ndarray'> numpy.polynomial.polynomial.polyone
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<class 'function'> numpy.polynomial.polynomial.polyroots
<class 'function'> numpy.polynomial.polynomial.polysub
<class 'function'> numpy.polynomial.polynomial.polyval
<class 'function'> numpy.polynomial.polynomial.polyval2d
<class 'function'> numpy.polynomial.polynomial.polyval3d
<class 'function'> numpy.polynomial.polynomial.polyvalfromroots
<class 'function'> numpy.polynomial.polynomial.polyvander
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<class 'function'> numpy.polynomial.polynomial.polyvander3d
<class 'numpy.ndarray'> numpy.polynomial.polynomial.polyx
<class 'numpy.ndarray'> numpy.polynomial.polynomial.polyzero
<class 'numpy._pytesttester.PytestTester'> numpy.polynomial.test
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<class 'builtin_function_or_method'> numpy.random.beta
<class 'builtin_function_or_method'> numpy.random.binomial
<class 'builtin_function_or_method'> numpy.random.bytes
<class 'builtin_function_or_method'> numpy.random.chisquare
<class 'builtin_function_or_method'> numpy.random.choice
<class 'builtin_function_or_method'> numpy.random.dirichlet
<class 'builtin_function_or_method'> numpy.random.exponential
<class 'builtin_function_or_method'> numpy.random.f
<class 'builtin_function_or_method'> numpy.random.gamma
<class 'builtin_function_or_method'> numpy.random.geometric
<class 'builtin_function_or_method'> numpy.random.get_state
<class 'builtin_function_or_method'> numpy.random.gumbel
<class 'builtin_function_or_method'> numpy.random.hypergeometric
<class 'builtin_function_or_method'> numpy.random.laplace
<class 'builtin_function_or_method'> numpy.random.logistic
<class 'builtin_function_or_method'> numpy.random.lognormal
<class 'builtin_function_or_method'> numpy.random.logseries
<class 'builtin_function_or_method'> numpy.random.mtrand.multinomial
<class 'builtin_function_or_method'> numpy.random.mtrand.multivariate_normal
<class 'builtin_function_or_method'> numpy.random.mtrand.negative_binomial
<class 'builtin_function_or_method'> numpy.random.mtrand.noncentral_chisquare
<class 'builtin_function_or_method'> numpy.random.mtrand.noncentral_f
<class 'builtin_function_or_method'> numpy.random.mtrand.normal
<class 'builtin_function_or_method'> numpy.random.mtrand.pareto
<class 'builtin_function_or_method'> numpy.random.mtrand.permutation
<class 'builtin_function_or_method'> numpy.random.mtrand.poisson
<class 'builtin_function_or_method'> numpy.random.mtrand.power
<class 'builtin_function_or_method'> numpy.random.mtrand.rand
<class 'builtin_function_or_method'> numpy.random.mtrand.randint
<class 'builtin_function_or_method'> numpy.random.mtrand.randn
<class 'builtin_function_or_method'> numpy.random.mtrand.random_integers
<class 'builtin_function_or_method'> numpy.random.mtrand.random_sample
<class 'builtin_function_or_method'> numpy.random.mtrand.rayleigh
<class 'builtin_function_or_method'> numpy.random.mtrand.seed
<class 'builtin_function_or_method'> numpy.random.mtrand.set_state
<class 'builtin_function_or_method'> numpy.random.mtrand.shuffle
<class 'builtin_function_or_method'> numpy.random.mtrand.standard_cauchy
<class 'builtin_function_or_method'> numpy.random.mtrand.standard_exponential
<class 'builtin_function_or_method'> numpy.random.mtrand.standard_gamma
<class 'builtin_function_or_method'> numpy.random.mtrand.standard_normal
<class 'builtin_function_or_method'> numpy.random.mtrand.standard_t
<class 'builtin_function_or_method'> numpy.random.mtrand.triangular
<class 'builtin_function_or_method'> numpy.random.mtrand.uniform
<class 'builtin_function_or_method'> numpy.random.mtrand.vonmises
<class 'builtin_function_or_method'> numpy.random.mtrand.wald
<class 'builtin_function_or_method'> numpy.random.mtrand.weibull
<class 'builtin_function_or_method'> numpy.random.mtrand.zipf
<class 'numpy._pytesttester.PytestTester'> numpy.random.test
<class 'function'> numpy.show_config
<class 'numpy._pytesttester.PytestTester'> numpy.test
<class 'type'> numpy.testing.IgnoreException
<class 'type'> numpy.testing.KnownFailureException
<class 'type'> numpy.testing.SkipTest
<class 'type'> numpy.testing.TestCase
<class 'function'> numpy.testing.assert_
<class 'function'> numpy.testing.assert_allclose
<class 'function'> numpy.testing.assert_almost_equal
<class 'function'> numpy.testing.assert_approx_equal
<class 'function'> numpy.testing.assert_array_almost_equal
<class 'function'> numpy.testing.assert_array_almost_equal_nulp
<class 'function'> numpy.testing.assert_array_compare
<class 'function'> numpy.testing.assert_array_equal
<class 'function'> numpy.testing.assert_array_less
<class 'function'> numpy.testing.assert_array_max_ulp
<class 'function'> numpy.testing.assert_equal
<class 'function'> numpy.testing.assert_no_gc_cycles
<class 'function'> numpy.testing.assert_no_warnings
<class 'function'> numpy.testing.assert_raises
<class 'function'> numpy.testing.assert_raises_regex
<class 'function'> numpy.testing.assert_string_equal
<class 'function'> numpy.testing.assert_warns
<class 'function'> numpy.testing.build_err_msg
<class 'type'> numpy.testing.clear_and_catch_warnings
<class 'function'> numpy.testing.dec.deprecated
<class 'function'> numpy.testing.dec.knownfailureif
<class 'function'> numpy.testing.dec.parametrize
<class 'function'> numpy.testing.dec.setastest
<class 'function'> numpy.testing.dec.skipif
<class 'function'> numpy.testing.dec.slow
<class 'function'> numpy.testing.decorate_methods
<class 'function'> numpy.testing.jiffies
<class 'function'> numpy.testing.measure
<class 'function'> numpy.testing.memusage
<class 'function'> numpy.testing.print_assert_equal
<class 'function'> numpy.testing.raises
<class 'function'> numpy.testing.rand
<class 'function'> numpy.testing.run_module_suite
<class 'function'> numpy.testing.rundocs
<class 'function'> numpy.testing.runstring
<class 'type'> numpy.testing.suppress_warnings
<class 'function'> numpy.testing.tempdir
<class 'function'> numpy.testing.temppath
<class 'numpy._pytesttester.PytestTester'> numpy.testing.test
<class 'str'> numpy.version.full_version
<class 'str'> numpy.version.git_revision
===== class =====
<class 'numpy.AxisError'>
<class 'numpy.ComplexWarning'>
<class 'numpy.DataSource'>
<class 'numpy.MachAr'>
<class 'numpy.ModuleDeprecationWarning'>
<class 'numpy.RankWarning'>
<class 'numpy.TooHardError'>
<class 'numpy.VisibleDeprecationWarning'>
<class 'numpy.bool_'>
<class 'numpy.broadcast'>
<class 'numpy.busdaycalendar'>
<class 'numpy.bytes_'>
<class 'numpy.character'>
<class 'numpy.chararray'>
<class 'numpy.compat.py3k.contextlib_nullcontext'>
<class 'numpy.complex128'>
<class 'numpy.complex256'>
<class 'numpy.complex64'>
<class 'numpy.complexfloating'>
<class 'numpy.core._internal.recursive'>
<class 'numpy.core.arrayprint.BoolFormat'>
<class 'numpy.core.arrayprint.ComplexFloatingFormat'>
<class 'numpy.core.arrayprint.ComplexFormat'>
<class 'numpy.core.arrayprint.DatetimeFormat'>
<class 'numpy.core.arrayprint.FloatFormat'>
<class 'numpy.core.arrayprint.FloatingFormat'>
<class 'numpy.core.arrayprint.IntegerFormat'>
<class 'numpy.core.arrayprint.LongComplexFormat'>
<class 'numpy.core.arrayprint.LongFloatFormat'>
<class 'numpy.core.arrayprint.StructureFormat'>
<class 'numpy.core.arrayprint.StructuredVoidFormat'>
<class 'numpy.core.arrayprint.SubArrayFormat'>
<class 'numpy.core.arrayprint.TimedeltaFormat'>
<class 'numpy.core.getlimits.MachArLike'>
<class 'numpy.core.multiarray.typeinforanged'>
<class 'numpy.core.overrides.ArgSpec'>
<class 'numpy.datetime64'>
<class 'numpy.dtype'>
<class 'numpy.errstate'>
<class 'numpy.finfo'>
<class 'numpy.flagsobj'>
<class 'numpy.flatiter'>
<class 'numpy.flexible'>
<class 'numpy.float128'>
<class 'numpy.float16'>
<class 'numpy.float32'>
<class 'numpy.float64'>
<class 'numpy.floating'>
<class 'numpy.format_parser'>
<class 'numpy.generic'>
<class 'numpy.iinfo'>
<class 'numpy.inexact'>
<class 'numpy.int16'>
<class 'numpy.int32'>
<class 'numpy.int64'>
<class 'numpy.int64'>
<class 'numpy.int8'>
<class 'numpy.integer'>
<class 'numpy.lib._iotools.ConversionWarning'>
<class 'numpy.lib._iotools.ConverterError'>
<class 'numpy.lib._iotools.ConverterLockError'>
<class 'numpy.lib._iotools.LineSplitter'>
<class 'numpy.lib._iotools.NameValidator'>
<class 'numpy.lib._iotools.StringConverter'>
<class 'numpy.lib._version.NumpyVersion'>
<class 'numpy.lib.arrayterator.Arrayterator'>
<class 'numpy.lib.index_tricks.AxisConcatenator'>
<class 'numpy.lib.index_tricks.CClass'>
<class 'numpy.lib.index_tricks.IndexExpression'>
<class 'numpy.lib.index_tricks.MGridClass'>
<class 'numpy.lib.index_tricks.OGridClass'>
<class 'numpy.lib.index_tricks.RClass'>
<class 'numpy.lib.index_tricks.nd_grid'>
<class 'numpy.lib.mixins.NDArrayOperatorsMixin'>
<class 'numpy.lib.npyio.BagObj'>
<class 'numpy.lib.npyio.NpzFile'>
<class 'numpy.lib.stride_tricks.DummyArray'>
<class 'numpy.lib.utils.SafeEval'>
<class 'numpy.linalg.LinAlgError'>
<class 'numpy.ma.core.MAError'>
<class 'numpy.ma.core.MaskError'>
<class 'numpy.ma.core.MaskedArray'>
<class 'numpy.ma.core.MaskedArrayFutureWarning'>
<class 'numpy.ma.core.MaskedConstant'>
<class 'numpy.ma.core.MaskedIterator'>
<class 'numpy.ma.core.mvoid'>
<class 'numpy.ma.extras.MAxisConcatenator'>
<class 'numpy.ma.extras.mr_class'>
<class 'numpy.matrix'>
<class 'numpy.memmap'>
<class 'numpy.ndarray'>
<class 'numpy.ndenumerate'>
<class 'numpy.ndindex'>
<class 'numpy.nditer'>
<class 'numpy.number'>
<class 'numpy.object_'>
<class 'numpy.poly1d'>
<class 'numpy.polynomial._polybase.ABCPolyBase'>
<class 'numpy.polynomial.chebyshev.Chebyshev'>
<class 'numpy.polynomial.hermite.Hermite'>
<class 'numpy.polynomial.hermite_e.HermiteE'>
<class 'numpy.polynomial.laguerre.Laguerre'>
<class 'numpy.polynomial.legendre.Legendre'>
<class 'numpy.polynomial.polynomial.Polynomial'>
<class 'numpy.polynomial.polyutils.PolyBase'>
<class 'numpy.polynomial.polyutils.PolyDomainError'>
<class 'numpy.polynomial.polyutils.PolyError'>
<class 'numpy.polynomial.polyutils.RankWarning'>
<class 'numpy.recarray'>
<class 'numpy.record'>
<class 'numpy.signedinteger'>
<class 'numpy.str_'>
<class 'numpy.timedelta64'>
<class 'numpy.ufunc'>
<class 'numpy.uint16'>
<class 'numpy.uint32'>
<class 'numpy.uint64'>
<class 'numpy.uint64'>
<class 'numpy.uint8'>
<class 'numpy.unsignedinteger'>
<class 'numpy.vectorize'>
<class 'numpy.void'>
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