9jz%SSKJr SSKrSSKrSSKJr SSKJr \R"SSS5r\R"SS S 5r SS jr SS jr SS jr Sr \RrS\S'\R rS\S'\R"rS\S'\R$rS\S'\R&rS\S'\R(rS\S'g)) annotationsN)_core)content cupy_is_close)zeeee?->?zffff?->?zdddd?->?a bool equal_nan = in4; if (isfinite(in0) && isfinite(in1)) { out0 = fabs(in0 - in1) <= in3 + in2 * fabs(in1); } else if (equal_nan) { out0 = (in0 == in1) || (isnan(in0) && isnan(in1)); } else { out0 = (in0 == in1); } cupy_is_close_complex)zFFff?->?zDDdd?->?a bool equal_nan = in4; if (isfinite(in0) && isfinite(in1)) { out0 = abs(in0 - in1) <= in3 + in2 * abs(in1); } else if (equal_nan) { out0 = (in0 == in1) || (isnan(in0) && isnan(in1)); } else { out0 = (in0 == in1); } cvURUR:wa[R"S5$U(dX:HR5$[R "U5[R "U5pCX4:HR5(d[R"S5$X)X):HR5$)aReturns ``True`` if two arrays are element-wise exactly equal. Args: a1 (cupy.ndarray): Input array to compare. a2 (cupy.ndarray): Input array to compare. equal_nan (bool): If ``True``, NaN's in ``a1`` will be considered equal to NaN's in ``a2``. Returns: cupy.ndarray: A boolean 0-dim array. If its value is ``True``, two arrays are element-wise equal. .. seealso:: :func:`numpy.array_equal` F)shapecupyarrayallrisnan)a1a2 equal_nana1nana2nans P/home/wildlama/miniconda3/lib/python3.13/site-packages/cupy/_logic/comparison.py array_equalr,s  xx288zz%  ~~==$gmmB&75 N   ! !zz%  vJ"V* $ ) ) ++c4[XX#US9R5$)aReturns True if two arrays are element-wise equal within a tolerance. Two values in ``a`` and ``b`` are considiered equal when the following equation is satisfied. .. math:: |a - b| \le \mathrm{atol} + \mathrm{rtol} |b| Args: a (cupy.ndarray): Input array to compare. b (cupy.ndarray): Input array to compare. rtol (float): The relative tolerance. atol (float): The absolute tolerance. equal_nan (bool): If ``True``, NaN's in ``a`` will be considered equal to NaN's in ``b``. Returns: cupy.ndarray: A boolean 0-dim array. If its value is ``True``, two arrays are element-wise equal within a tolerance. .. seealso:: :func:`numpy.allclose` )rtolatolr)iscloser abrrrs rallcloserIs4 1d C G G IIrcF[R"U5n[R"U5nUR[R[R 4;d.UR[R[R 4;a [ XX#U5$[XX#U5$)a{Returns a boolean array where two arrays are equal within a tolerance. Two values in ``a`` and ``b`` are considiered equal when the following equation is satisfied. .. math:: |a - b| \le \mathrm{atol} + \mathrm{rtol} |b| Args: a (cupy.ndarray): Input array to compare. b (cupy.ndarray): Input array to compare. rtol (float): The relative tolerance. atol (float): The absolute tolerance. equal_nan (bool): If ``True``, NaN's in ``a`` will be considered equal to NaN's in ``b``. Returns: cupy.ndarray: A boolean array storing where ``a`` and ``b`` are equal. .. seealso:: :func:`numpy.isclose` )r asanyarraydtypenumpy complex64 complex128_is_close_complex _is_closers rrrfst0 A A EOOU%5%566 EOOU%5%566 t9==t955rc[R"X5 X:HR 5$![a [R"S5s$f=f)aq Returns ``True`` if all elements are equal or shape consistent, i.e., one input array can be broadcasted to create the same shape as the other. Args: a1 (cupy.ndarray): Input array. a2 (cupy.ndarray): Input array. Returns: cupy.ndarray: A boolean 0-dim array. ``True`` if equivalent, otherwise ``False``. .. seealso:: :func:`numpy.array_equiv` F)r broadcast Exceptionr r )rrs r array_equivr)sD$! r H>>  !zz%  !s* A  A z _core.ufuncgreater greater_equalless less_equalequal not_equal)F)gh㈵>g:0yE>F) __future__rr!r r cupy._logicr create_ufuncr%r$rrrr)r*__annotations__r+r,r-r.r/rrr5s"    (   $&&   ,:J:6B4}}$#00 {0JJk ** K*[[{  ;(r