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- # TODO: https://github.com/numpy/numtype/issues/136
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+ # https://github.com/numpy/numtype/issues/136
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numpy(\..+)?\.(un)?signedinteger.__hash__
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numpy(\..+)?\.(un)?signedinteger.__index__
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numpy(\..+)?\.(un)?signedinteger.bit_count
@@ -8,8 +8,7 @@ numpy(\..+)?\.floating.as_integer_ratio
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numpy(\..+)?\.complexfloating.__hash__
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numpy(\..+)?\.complexfloating.__complex__
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- # ufuncs
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- # TODO: https://github.com/numpy/numtype/issues/88
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+ # https://github.com/numpy/numtype/issues/88
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numpy(\._core(\.(_multiarray_umath|multiarray|numeric|umath))?|\.matlib)?\.f?abs(olute)?
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numpy(\._core(\.(_multiarray_umath|multiarray|numeric|umath))?|\.matlib)?\.ceil
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numpy(\._core(\.(_multiarray_umath|multiarray|numeric|umath))?|\.matlib)?\.trunc
@@ -64,25 +63,23 @@ numpy(\._core(\.(_multiarray_umath|multiarray|numeric|umath))?|\.matlib)?\.cbrt
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numpy(\._core(\.(_multiarray_umath|multiarray|numeric|umath))?|\.matlib)?\.vec(dot|mat)
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numpy(\._core(\.arrayprint|\.numeric)?|\.matlib)?\.array2string
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- numpy(\._core(\.einsumfunc)?)?\.einsum_path
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+ numpy(\._core(\.einsumfunc)?|\.matlib )?\.einsum_path
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numpy(\._core(\.memmap)?|\.matlib)?\.memmap\.__new__
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- numpy(\._core(\.multiarray|\.numeric)?)?\.dtype
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- numpy(\._core(\.multiarray|\.numeric)?)?\.dtype.type
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- numpy(\.lib\._arraysetops_impl)?\.union1d
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- numpy(\.lib\._arraysetops_impl)?\.unique_(all|counts|inverse|values)
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- numpy(\.lib\._function_base_impl)?\.average
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- numpy(\.lib\._function_base_impl)?\.corrcoef
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- numpy(\.lib\._function_base_impl)?\.median
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- numpy(\.lib\._npyio_impl)?\.genfromtxt
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- numpy(\.lib\._npyio_impl)?\.save
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+ numpy(\.lib\._arraysetops_impl|\.matlib )?\.union1d
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+ numpy(\.lib\._arraysetops_impl|\.matlib )?\.unique_(all|counts|inverse|values)
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+ numpy(\.lib\._function_base_impl|\.matlib )?\.average
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+ numpy(\.lib\._function_base_impl|\.matlib )?\.corrcoef
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+ numpy(\.lib\._function_base_impl|\.matlib )?\.median
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+ numpy(\.lib\._npyio_impl|\.matlib )?\.genfromtxt
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+ numpy(\.lib\._npyio_impl|\.matlib )?\.save
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numpy(\.lib\._nanfunctions_impl)?\.nan(median|percentile)
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numpy(\.lib\._twodim_base_impl)?\.tri(l|u)
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- numpy. matrix.__new__
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- numpy.ndindex.ndincr
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- numpy.ndenumerate.iter
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- numpy.poly1d.integ
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+ numpy(\.matrixlib(\.defmatrix)?|\.matlib)?\. matrix\ .__new__
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+ numpy(\.lib\._polynomial_impl|\.matlib)?\.poly1d\.integ
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+ numpy(\.lib\._index_tricks_impl|\.matlib)?\.ndindex\.ndincr
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+ numpy(\.lib\._index_tricks_impl|\.matlib)?\.ndenumerate\.iter
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numpy._core.cversions
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numpy._core.printoptions
@@ -119,10 +116,10 @@ numpy(\._core\.defchararray|(\._core)?\.strings|\.char)\.isupper
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numpy(\._core\.defchararray|(\._core)?\.strings|\.char)\.startswith
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numpy(\._core\.defchararray|(\._core)?\.strings|\.char)\.str_len
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- numpy._core.records.array
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- numpy._core(.records)?. recarray.__getattr__
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- numpy._core(.records)?.recarray.__new__
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- numpy._core( .records)?.record.__name__
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+ numpy(\ ._core(\ .records)?|\.matlib|\.rec)?\.recarray\.__getattr__
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+ numpy(\ ._core(\ .records)?|\.matlib|\.rec)?\. recarray\.__new__
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+ numpy(\ ._core(\ .records)?|\.matlib|\.rec)?\.record\.__name__
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+ numpy(\ ._core\ .records|\.rec)\.array
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numpy(\._core\.defchararray|\.char)\.chararray\.__new__
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numpy(\._core\.defchararray|\.char)\.chararray\.argsort
@@ -158,19 +155,6 @@ numpy.ctypeslib._ctypeslib
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numpy.distutils
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- numpy.dtypes.BoolDType
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- numpy.dtypes.U?Int(8|16|32|64)?DType
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- numpy.dtypes.U?Long(Long)?DType
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- numpy.dtypes.Float(16|32|64)DType
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- numpy.dtypes.Complex(64|128)DType
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- numpy.dtypes.C?LongDoubleDType
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- numpy.dtypes.ObjectDType
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- numpy.dtypes.(Bytes|Str|Void)DType
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- numpy.dtypes.(DateTime|TimeDelta)64DType
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- numpy.dtypes.StringDType
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- numpy.dtypes.StringDType.coerce
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- numpy.dtypes.StringDType.na_object
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-
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numpy.f2py.__main__
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numpy.f2py.__version__
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numpy.f2py.(aux|c)funcs
@@ -185,16 +169,11 @@ numpy.f2py.((cb|common|f90mod|use)_)?rules
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numpy.fft.helper
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- numpy.lib.Arrayterator.__array__
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- numpy.lib._array_utils_impl.normalize_axis_tuple
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- numpy.lib._arrayterator_impl.Arrayterator.__array__
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+ numpy.lib(._arrayterator_impl)? .Arrayterator.__array__
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+ numpy.lib.( _array_utils_impl|array_utils) .normalize_axis_tuple
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+ numpy.lib.(_npyio_impl|npyio).NpzFile.get
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numpy.lib._index_tricks_impl.AxisConcatenator.makemat
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- numpy.lib._index_tricks_impl.ndenumerate.iter
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- numpy.lib._index_tricks_impl.ndindex.ndincr
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numpy.lib._iotools.NameValidator.defaultdeletechars
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- numpy.lib.(_npyio_impl|npyio).NpzFile.get
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- numpy.lib._polynomial_impl.poly1d.integ
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- numpy.lib.array_utils.normalize_axis_tuple
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numpy.lib.format.open_memmap
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numpy.lib.format.read_array(_header_(1|2)_0)?
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numpy.lib.mixins.NDArrayOperatorsMixin.__array_ufunc__
@@ -234,40 +213,18 @@ numpy.ma.core.mask_rowcols
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numpy.ma.extras.MAxisConcatenator.concatenate
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numpy.ma.mrecords.fromtextfile
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- numpy.matlib.average
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- numpy.matlib.cdouble
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- numpy.matlib.corrcoef
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- numpy.matlib.dtype
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- numpy.matlib.dtype.type
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- numpy.matlib.einsum_path
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numpy.matlib.f2py
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- numpy.matlib.genfromtxt
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+ numpy.matlib.typing
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+ numpy.matlib.cdouble
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numpy.matlib.hanning
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numpy.matlib.in1d
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- numpy.matlib.matrix.__new__
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- numpy.matlib.(nan)?median
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+ numpy.matlib.nanmedian
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numpy.matlib.nanpercentile
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- numpy.matlib.ndenumerate.iter
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- numpy.matlib.ndindex.ndincr
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- numpy.matlib.poly1d.integ
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- numpy.matlib.recarray.__getattr__
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- numpy.matlib.recarray.__new__
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- numpy.matlib.record.__name__
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- numpy.matlib.save
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numpy.matlib.split
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numpy.matlib.stack
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- numpy.matlib.tril
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- numpy.matlib.triu
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- numpy.matlib.typing
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- numpy.matlib.union1d
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- numpy.matlib.unique_all
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- numpy.matlib.unique_counts
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- numpy.matlib.unique_inverse
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- numpy.matlib.unique_values
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+ numpy.matlib.tri(l|u)
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numpy.matrixlib.defmatrix.mat
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- numpy.matrixlib.defmatrix.matrix.__new__
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- numpy.matrixlib.matrix.__new__
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numpy.polynomial.Chebyshev.basis_name
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numpy.polynomial.Hermite.basis_name
@@ -444,15 +401,9 @@ numpy.polynomial.polynomial.polyvander
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numpy.polynomial.polynomial.polyvander2d
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numpy.polynomial.polynomial.polyvander3d
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- numpy.random._generator.__test__
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numpy\.random(\.bit_generator)?\.BitGenerator\.capsule
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numpy\.random\.((_mt19937\.)?MT19937|(_pcg64\.)?PCG64(DXSM)?|(_philox\.)?Philox|(_sfc64\.)?SFC64|(bit_generator\.)?(Seedless)?SeedSequence)\.__(reduce|setstate)_cython__
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- numpy.rec.array
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- numpy(.rec)?.recarray.__getattr__
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- numpy(.rec)?.recarray.__new__
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- numpy(.rec)?.record.__name__
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-
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numpy\.testing(\._private.utils)?\.assert_array_equal
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numpy\.testing(\._private.utils)?\.assert_array_almost_equal
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numpy\.testing(\._private.utils)?\.assert_array_compare
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