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    Implementing these methods in cython improves performance quite a bit.

    import pandas as pd

    from pandas._libs.arrays import NDArrayBacked as cls

    dti = pd.date_range("2016-01-01", periods=3)
    dta = dti._data
    arr = dta._ndarray

    obj = cls._simple_new(arr, arr.dtype)

    # for foo in [arr, dta, obj]: ...

    %timeit foo.copy()
    299 ns ± 30 ns per loop     # <-- arr underlying ndarray (for reference)
    530 ns ± 9.24 ns per loop   # <-- dta with cython NDArrayBacked
    1.66 µs ± 46.3 ns per loop  # <-- dta without cython NDArrayBacked
    328 ns ± 5.29 ns per loop   # <-- obj with NDArrayBacked.__cinit__
    371 ns ± 6.97 ns per loop   # <-- obj with NDArrayBacked._simple_new

    %timeit foo.T
    125 ns ± 6.27 ns per loop   # <-- arr underlying ndarray (for reference)
    226 ns ± 7.66 ns per loop   # <-- dta with cython NDArrayBacked
    911 ns ± 16.6 ns per loop   # <-- dta without cython NDArrayBacked
    215 ns ± 4.54 ns per loop   # <-- obj with NDArrayBacked._simple_new

    arrays
        Construct a new ExtensionArray `new_array` with `arr` as its _ndarray.

        This should round-trip:
            self == self._from_backing_data(self._ndarray)
        
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ints__%.4s__ returned non-%.4s (type %.200s)__int__ returned non-int (type %.200s).  The ability to return an instance of a strict subclass of int is deprecated, and may be removed in a future version of Python.pandas._libs.arrayscompiletime version %s of module '%.100s' does not match runtime version %s%d.%ds%s (%s:%d)%.200s.%.200s is not a type object%s.%s size changed, may indicate binary incompatibility. Expected %zd from C header, got %zd from PyObject%.200s.%.200s size changed, may indicate binary incompatibility. Expected %zd from C header, got %zd from PyObjectUnable to initialize pickling for %shasattr(): attribute name must be stringcannot import name %S%s() got an unexpected keyword argument '%U'%.200s() keywords must be stringsjoin() result is too long for a Python string'%.200s' object is unsliceabledictionary changed size during iteration'NoneType' object is not iterabletoo many values to unpack (expected %zd)need more than %zd value%.1s to unpack'%.50s' object has no attribute '%U'raise: exception class must be a subclass of BaseExceptionCannot convert %.200s to %.200sMissing type objectcalling %R should have returned an instance of BaseException, not %RNULL result without error in PyObject_Call while calling a Python objectNULL result without error in PyObject_Call while calling a Python objectMissing type objectArgument '%.200s' has incorrect type (expected %.200s, got %.200s)%s() got an unexpected keyword argument '%U'%.200s() keywords must be strings%s() got multiple values for keyword argument '%U'%.200s() takes %.8s %zd positional argument%.1s (%zd given)exactlyat mostat leastname '%U' is not definedinit pandas._libs.arraysinit pandas._libs.arrayspandas._libs.arrayspandas._libs.arrays__builtins__cython_runtimebuiltinssubmodule_search_locationsparentModule 'arrays' has already been imported. Re-initialisation is not supported.__path____package__origin__file__loader__loader__namenumpyInterpreter change detected - this module can only be loaded into one interpreter per process.ufuncnumpycharacternumpyflexiblenumpycomplexfloatingnumpyfloatingnumpyinexactnumpyunsignedintegernumpysignedintegernumpyintegernumpynumbernumpygenericnumpyndarraynumpybroadcastnumpyflatiternumpydtypenumpybuiltinscomplexbuiltinsbuiltinsboolbuiltinsbuiltinstypebuiltinsnumpy.import_arraynumpy.import_arraypandas._libs.arrays.__pyx_unpickle_NDArrayBacked__set_state'NoneType' object is not subscriptableobject of type 'NoneType' has no len()'NoneType' object is not subscriptable'NoneType' object is not subscriptablepandas._libs.arrays.__pyx_unpickle_NDArrayBackedExpected %.16s, got %.200stuplepandas._libs.arrays.__pyx_unpickle_NDArrayBacked__pyx_unpickle_NDArrayBacked__pyx_unpickle_NDArrayBacked__pyx_unpickle_NDArrayBacked__pyx_unpickle_NDArrayBackedpandas._libs.arrays.NDArrayBacked.__setstate_cython__Expected %.16s, got %.200stuplepandas._libs.arrays.NDArrayBacked.__reduce_cython__pandas._libs.arrays.NDArrayBacked.transposetransposepandas._libs.arrays.NDArrayBacked.T.__get__pandas._libs.arrays.NDArrayBacked.ravelpandas._libs.arrays.NDArrayBacked.ravelravelravelpandas._libs.arrays.NDArrayBacked.reshapereshapepandas._libs.arrays.NDArrayBacked.repeatpandas._libs.arrays.NDArrayBacked.repeatrepeatrepeatpandas._libs.arrays.NDArrayBacked.swapaxespandas._libs.arrays.NDArrayBacked.swapaxesswapaxesswapaxesswapaxespandas._libs.arrays.NDArrayBacked.deletepandas._libs.arrays.NDArrayBacked.deletedeletedeletepandas._libs.arrays.NDArrayBacked.copypandas._libs.arrays.NDArrayBacked.copycopycopypandas._libs.arrays.NDArrayBacked.nbytes.__get__pandas._libs.arrays.NDArrayBacked.size.__get__pandas._libs.arrays.NDArrayBacked.ndim.__get__pandas._libs.arrays.NDArrayBacked.shape.__get__pandas._libs.arrays.NDArrayBacked.__len__pandas._libs.arrays.NDArrayBacked.__setstate__pandas._libs.arrays.NDArrayBacked.__setstate__'NoneType' object has no attribute '%.30s'items'NoneType' object has no attribute '%.30s'itemspandas._libs.arrays.NDArrayBacked._from_backing_datavaluespandas._libs.arrays.NDArrayBacked._from_backing_datapandas._libs.arrays.NDArrayBacked._simple_newvaluespandas._libs.arrays.NDArrayBacked._simple_new_simple_new_simple_new_simple_newvaluespandas._libs.arrays.NDArrayBacked.__init____init____init____init__FATAL: module compiled as little endian, but detected different endianness at runtimeFATAL: module compiled as unknown endian_ARRAY_API is NULL pointer_ARRAY_API is not PyCapsule objectmodule compiled against API version 0x%x but this version of numpy is 0x%xmodule compiled against ABI version 0x%x but this version of numpy is 0x%x_ARRAY_API not found_ARRAY_APInumpy.core._multiarray_umath.˜í0€4œí˜àíM<îPlîÄîÄ–|î˜	„î¸˜î¸Û4î#4î$]4î`”44î¬Ô4îÔé4îìLÌîL|4î|4îÙîÜgîh¤î$î$Mî`«àî¬èðîè$ðî(Éüî0Wï`ã(ïð—0ï Ü 8ïð Z!LïZ!U"TïU"c"pïp"c#€ï€$Ù$ŒïÙ$ø$”ïø$(%¨ï(%L%Àï`%o%Ðï€%%Øï %ù%àïù%&èï&H&üïH&l&ð€&Û)$ðð)˜*Dð *+Tð+å+dðå+ö+|ð,P,Œð`,Ñ,”ðà,
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