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Add missing functions to jax.numpy docs (#3981)
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@ -29,6 +29,14 @@ input data.
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Not every function in NumPy is implemented; contributions are welcome!
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.. Generate the list below as follows:
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>>> import jax.numpy, numpy
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>>> fns = set(dir(numpy)) & set(dir(jax.numpy)) - set(jax.numpy._NOT_IMPLEMENTED)
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>>> print('\n'.join(' ' + x for x in fns if callable(getattr(jax.numpy, x)))) # doctest: +SKIP
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# Finally, sort the list using sort(1), which is different than Python's
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# sorted() function.
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.. autosummary::
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:toctree: _autosummary
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@ -57,12 +65,14 @@ Not every function in NumPy is implemented; contributions are welcome!
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argwhere
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around
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array
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array_equal
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array_repr
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array_str
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asarray
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atleast_1d
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atleast_2d
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atleast_3d
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average
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bartlett
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bincount
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bitwise_and
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@ -71,12 +81,21 @@ Not every function in NumPy is implemented; contributions are welcome!
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bitwise_xor
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blackman
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block
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bool_
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broadcast_arrays
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broadcast_to
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can_cast
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cbrt
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cdouble
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ceil
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character
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clip
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column_stack
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complex_
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complex128
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complex64
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complexfloating
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ComplexWarning
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compress
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concatenate
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conj
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@ -90,27 +109,32 @@ Not every function in NumPy is implemented; contributions are welcome!
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count_nonzero
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cov
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cross
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cumsum
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csingle
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cumprod
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cumproduct
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cumsum
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deg2rad
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degrees
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diag
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diagflat
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diag_indices
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diag_indices_from
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diagflat
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diagonal
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diff
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digitize
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divide
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divmod
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dot
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double
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dsplit
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dstack
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dtype
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ediff1d
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einsum
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equal
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einsum_path
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empty
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empty_like
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equal
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exp
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exp2
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expand_dims
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@ -118,11 +142,18 @@ Not every function in NumPy is implemented; contributions are welcome!
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extract
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eye
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fabs
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finfo
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fix
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flatnonzero
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flexible
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flip
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fliplr
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flipud
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float_
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float16
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float32
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float64
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floating
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float_power
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floor
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floor_divide
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@ -134,6 +165,7 @@ Not every function in NumPy is implemented; contributions are welcome!
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full_like
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gcd
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geomspace
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gradient
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greater
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greater_equal
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hamming
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@ -145,24 +177,35 @@ Not every function in NumPy is implemented; contributions are welcome!
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hstack
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hypot
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identity
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iinfo
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imag
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in1d
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indices
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inexact
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inner
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int_
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int16
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int32
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int64
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int8
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integer
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interp
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intersect1d
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isclose
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iscomplex
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iscomplexobj
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isfinite
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isin
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intersect1d
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isinf
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isnan
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isneginf
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isposinf
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isreal
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isrealobj
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isscalar
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issubdtype
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issubsctype
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iterable
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ix_
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kaiser
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kron
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@ -173,6 +216,7 @@ Not every function in NumPy is implemented; contributions are welcome!
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less_equal
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lexsort
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linspace
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load
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log
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log10
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log1p
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@ -184,6 +228,7 @@ Not every function in NumPy is implemented; contributions are welcome!
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logical_or
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logical_xor
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logspace
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mask_indices
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matmul
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max
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maximum
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@ -197,22 +242,29 @@ Not every function in NumPy is implemented; contributions are welcome!
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moveaxis
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msort
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multiply
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nan_to_num
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nanargmax
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nanargmin
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nancumprod
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nancumsum
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nanmax
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nanmean
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nanmedian
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nanmin
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nanpercentile
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nanprod
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nanquantile
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nanstd
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nansum
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nan_to_num
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nanvar
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ndarray
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ndim
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negative
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nextafter
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nonzero
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not_equal
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number
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object_
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ones
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ones_like
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outer
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@ -225,8 +277,8 @@ Not every function in NumPy is implemented; contributions are welcome!
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polymul
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polysub
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polyval
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power
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positive
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power
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prod
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product
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promote_types
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@ -249,13 +301,20 @@ Not every function in NumPy is implemented; contributions are welcome!
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rot90
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round
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row_stack
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save
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savez
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searchsorted
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select
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set_printoptions
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shape
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sign
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signbit
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signedinteger
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sin
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sinc
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single
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sinh
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size
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sometrue
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sort
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sort_complex
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@ -276,6 +335,7 @@ Not every function in NumPy is implemented; contributions are welcome!
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tile
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trace
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transpose
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trapz
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tri
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tril
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tril_indices
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@ -285,9 +345,14 @@ Not every function in NumPy is implemented; contributions are welcome!
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triu_indices_from
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true_divide
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trunc
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uint16
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uint32
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uint64
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uint8
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unique
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unpackbits
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unravel_index
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unsignedinteger
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unwrap
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vander
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var
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@ -308,23 +373,23 @@ jax.numpy.fft
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:toctree: _autosummary
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fft
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ifft
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fft2
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ifft2
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fftn
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ifftn
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rfft
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irfft
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rfft2
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irfft2
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rfftn
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irfftn
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hfft
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ihfft
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fftfreq
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rfftfreq
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fftn
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fftshift
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hfft
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ifft
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ifft2
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ifftn
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ifftshift
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ihfft
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irfft
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irfft2
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irfftn
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rfft
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rfft2
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rfftfreq
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rfftn
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jax.numpy.linalg
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----------------
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