z i JSrSSKrSSKJrJr SSKJr SSKJ r J r 1Skr Sr g) zDRoutines for computing expectation values from sampled distributionsN)sampled_expval_floatsampled_expval_complex) QiskitError)QuasiDistributionProbDistribution>01IZc^SSKJn SSKJnJn [ U[ [45(aUR5n[ X[45(d [S5e[ U[5(a)UR5/n[R"S/5nO[ X5(a)UR5/n[R"S/5nOV[ X5(a;UR R#5n[R"UR$5nO [S5e['[)[+U555m[-U4SjU55(a[S TS 35eUH5n[/U5R1[25(dM([S US 35e UR4[R4"[65R8:Xa [;XVU5$[=XVU5$) aComputes expectation value from a sampled distribution Note that passing a raw dict requires bit-string keys. Parameters: dist (Counts or QuasiDistribution or ProbDistribution or dict): Input sampled distribution oper (str or :class:`~.quantum_info.Pauli` or SparsePauliOp): The operator for the observable Returns: float: The expectation value Raises: QiskitError: if the input distribution or operator is an invalid type r)Countsr)Pauli SparsePauliOpzInvalid input distribution typeg?zInvalid operator typec3@># UHn[U5T:gv M g7f)N)len).0op bitstring_lens V/home/james-whalen/.local/lib/python3.13/site-packages/qiskit/result/sampled_expval.py ,sampled_expectation_value..As 8i3r7m #isz'One or more operators not same length (z) as input bitstringszInput operator z is not diagonal)countsrqiskit.quantum_inforr isinstancerrbinary_probabilitiesdictrstruppernpasarrayto_labelpaulis to_labelscoeffsrnextiteranyset differenceOPERSdtypecomplextyperr) distoperrrr oper_strsr%rrs @rsampled_expectation_valuer2s8$*,<=>>((* dTN + +;<<$ZZ\N SE" D ]]_% SE" D ( (KK))+ DKK(122T$Z()M 8i 8885m_DY Z   r7  e $ $t3CDE E||rxx(---%i>>#It<<) __doc__numpyr "qiskit._accelerate.sampled_exp_valrrqiskit.exceptionsr distributionsrrr+r2r3rr:s#K[)> 1=r3