All classes:
- scipy._lib.array_api_compat.common._typing.NestedSequence
- scipy._lib.array_api_compat.common._aliases.UniqueAllResult
- scipy._lib.array_api_compat.common._aliases.UniqueCountsResult
- scipy._lib.array_api_compat.common._aliases.UniqueInverseResult
- scipy._lib.array_api_compat.common._linalg.EighResult
- scipy._lib.array_api_compat.common._linalg.QRResult
- scipy._lib.array_api_compat.common._linalg.SlogdetResult
- scipy._lib.array_api_compat.common._linalg.SVDResult
- scipy._lib._util.Generator
- scipy._lib._util._FunctionWrapper
- scipy._lib._util.MapWrapper
- scipy._lib._util._RichResult
- scipy._lib._testutils.FPUModeChangeWarning
- scipy._lib._testutils.PytestTester
- scipy._lib._testutils._TestPythranFunc
- scipy.sparse._matrix.spmatrix
- scipy.sparse._data._data_matrix
- scipy.sparse._data._minmax_mixin
- scipy.sparse._index.IndexMixin
- scipy.sparse._compressed._cs_matrix
- scipy.sparse._bsr._bsr_base
- scipy.sparse._bsr.bsr_array
- scipy.sparse._bsr.bsr_matrix
- scipy.sparse._coo._coo_base
- scipy.sparse._coo.coo_array
- scipy.sparse._coo.coo_matrix
- scipy.sparse._csc._csc_base
- scipy.sparse._csc.csc_array
- scipy.sparse._csc.csc_matrix
- scipy.sparse._csr._csr_base
- scipy.sparse._csr.csr_array
- scipy.sparse._csr.csr_matrix
- scipy.sparse._dia._dia_base
- scipy.sparse._dia.dia_array
- scipy.sparse._dia.dia_matrix
- scipy.sparse._dok._dok_base
- scipy.sparse._dok.dok_array
- scipy.sparse._dok.dok_matrix
- scipy.sparse._lil._lil_base
- scipy.sparse._lil.lil_array
- scipy.sparse._lil.lil_matrix
- scipy.sparse.linalg._interface.LinearOperator
- scipy.sparse.linalg._interface._CustomLinearOperator
- scipy.sparse.linalg._interface._AdjointLinearOperator
- scipy.sparse.linalg._interface._TransposedLinearOperator
- scipy.sparse.linalg._interface._SumLinearOperator
- scipy.sparse.linalg._interface._ProductLinearOperator
- scipy.sparse.linalg._interface._ScaledLinearOperator
- scipy.sparse.linalg._interface._PowerLinearOperator
- scipy.sparse.linalg._interface.MatrixLinearOperator
- scipy.sparse.linalg._interface._AdjointMatrixOperator
- scipy.sparse.linalg._interface.IdentityOperator
- scipy.linalg._misc.LinAlgWarning
- scipy._lib.deprecation._DeprecationHelperStr
- scipy._lib._pep440.Infinity
- scipy._lib._pep440.NegativeInfinity
- scipy._lib._pep440.InvalidVersion
- scipy._lib._pep440._BaseVersion
- scipy._lib._pep440.LegacyVersion
- scipy._lib._pep440.Version
- scipy._lib._uarray._backend.Dispatchable
- scipy.special._sf_error.SpecialFunctionWarning
- scipy.special._sf_error.SpecialFunctionError
- scipy.special._orthogonal.orthopoly1d
- scipy.fft._backend._ScipyBackend
- scipy.linalg._matfuncs_sqrtm.SqrtmError
- scipy.linalg._matfuncs_inv_ssq.LogmRankWarning
- scipy.linalg._matfuncs_inv_ssq.LogmExactlySingularWarning
- scipy.linalg._matfuncs_inv_ssq.LogmNearlySingularWarning
- scipy.linalg._matfuncs_inv_ssq.LogmError
- scipy.linalg._matfuncs_inv_ssq.FractionalMatrixPowerError
- scipy.linalg._matfuncs_inv_ssq._MatrixM1PowerOperator
- scipy.sparse.linalg._dsolve.linsolve.MatrixRankWarning
- scipy._lib.decorator.FunctionMaker
- scipy._lib.decorator.ContextManager
- scipy._lib._threadsafety.ReentrancyError
- scipy._lib._threadsafety.ReentrancyLock
- scipy.sparse.linalg._eigen.arpack.arpack.ArpackError
- scipy.sparse.linalg._eigen.arpack.arpack.ArpackNoConvergence
- scipy.sparse.linalg._eigen.arpack.arpack._ArpackParams
- scipy.sparse.linalg._eigen.arpack.arpack._SymmetricArpackParams
- scipy.sparse.linalg._eigen.arpack.arpack._UnsymmetricArpackParams
- scipy.sparse.linalg._eigen.arpack.arpack.SpLuInv
- scipy.sparse.linalg._eigen.arpack.arpack.LuInv
- scipy.sparse.linalg._eigen.arpack.arpack.IterInv
- scipy.sparse.linalg._eigen.arpack.arpack.IterOpInv
- scipy.sparse.linalg._svdp._AProd
- scipy.sparse.linalg._expm_multiply.LazyOperatorNormInfo
- scipy.sparse.linalg._matfuncs.MatrixPowerOperator
- scipy.sparse.linalg._matfuncs.ProductOperator
- scipy.sparse.linalg._matfuncs._ExpmPadeHelper
- scipy.sparse.linalg._special_sparse_arrays.LaplacianNd
- scipy.sparse.linalg._special_sparse_arrays.Sakurai
- scipy.sparse.linalg._special_sparse_arrays.MikotaM
- scipy.sparse.linalg._special_sparse_arrays.MikotaK
- scipy.sparse.linalg._special_sparse_arrays.MikotaPair
- scipy.sparse._base.SparseWarning
- scipy.sparse._base.SparseFormatWarning
- scipy.sparse._base.SparseEfficiencyWarning
- scipy.sparse._base._spbase
- scipy.sparse._base.sparray
- scipy.__config__.DisplayModes
- scipy._lib._ccallback.CData
- scipy._lib._ccallback.LowLevelCallable
- scipy.io.matlab._miobase.MatReadError
- scipy.io.matlab._miobase.MatWriteError
- scipy.io.matlab._miobase.MatReadWarning
- scipy.io.matlab._mio4.VarHeader4
- scipy.io.matlab._mio4.VarReader4
- scipy.io.matlab._mio4.MatFile4Reader
- scipy.io.matlab._mio4.VarWriter4
- scipy.io.matlab._mio4.MatFile4Writer
- scipy.io.matlab._miobase.MatVarReader
- scipy.io.matlab._miobase.MatFileReader
- scipy.io.matlab._mio5_params.mat_struct
- scipy.io.matlab._mio5_params.MatlabObject
- scipy.io.matlab._mio5_params.MatlabFunction
- scipy.io.matlab._mio5_params.MatlabOpaque
- scipy.io.matlab._mio5.MatFile5Reader
- scipy.io.matlab._mio5.EmptyStructMarker
- scipy.io.matlab._mio5.VarWriter5
- scipy.io.matlab._mio5.MatFile5Writer
- scipy.io._netcdf.netcdf_file
- scipy.io._netcdf.netcdf_variable
- scipy.io._fortran.FortranEOFError
- scipy.io._fortran.FortranFormattingError
- scipy.io._fortran.FortranFile
- scipy.io._mmio.MMFile
- scipy.io._fast_matrix_market._FMMThreadPoolCtlController
- scipy.io._fast_matrix_market._TextToBytesWrapper
- scipy.io._idl.Pointer
- scipy.io._idl.ObjectPointer
- scipy.io._idl.AttrDict
- scipy.io._harwell_boeing._fortran_format_parser.BadFortranFormat
- scipy.io._harwell_boeing._fortran_format_parser.IntFormat
- scipy.io._harwell_boeing._fortran_format_parser.ExpFormat
- scipy.io._harwell_boeing._fortran_format_parser.Token
- scipy.io._harwell_boeing._fortran_format_parser.Tokenizer
- scipy.io._harwell_boeing._fortran_format_parser.FortranFormatParser
- scipy.io._harwell_boeing.hb.MalformedHeader
- scipy.io._harwell_boeing.hb.LineOverflow
- scipy.io._harwell_boeing.hb.HBInfo
- scipy.io._harwell_boeing.hb.HBMatrixType
- scipy.io._harwell_boeing.hb.HBFile
- scipy.io.arff._arffread.ArffError
- scipy.io.arff._arffread.ParseArffError
- scipy.io.arff._arffread.Attribute
- scipy.io.arff._arffread.NominalAttribute
- scipy.io.arff._arffread.NumericAttribute
- scipy.io.arff._arffread.StringAttribute
- scipy.io.arff._arffread.DateAttribute
- scipy.io.arff._arffread.RelationalAttribute
- scipy.io.arff._arffread.MetaData
- scipy.io.wavfile.WavFileWarning
- scipy.io.wavfile.WAVE_FORMAT
- scipy.spatial._kdtree.Rectangle
- scipy.spatial._kdtree.KDTree
- scipy.spatial._kdtree.KDTree.node
- scipy.spatial._kdtree.KDTree.leafnode
- scipy.spatial._kdtree.KDTree.innernode
- scipy.spatial.distance.CDistMetricWrapper
- scipy.spatial.distance.PDistMetricWrapper
- scipy.spatial.distance.MetricInfo
- scipy.spatial.transform._rotation_spline.RotationSpline
- scipy.optimize._dcsrch.DCSRCH
- scipy.optimize._linesearch.LineSearchWarning
- scipy.optimize._hessian_update_strategy.HessianUpdateStrategy
- scipy.optimize._hessian_update_strategy.FullHessianUpdateStrategy
- scipy.optimize._hessian_update_strategy.BFGS
- scipy.optimize._hessian_update_strategy.SR1
- scipy.optimize._differentiable_functions.ScalarFunction
- scipy.optimize._differentiable_functions.VectorFunction
- scipy.optimize._differentiable_functions.LinearVectorFunction
- scipy.optimize._differentiable_functions.IdentityVectorFunction
- scipy.optimize._optimize.MemoizeJac
- scipy.optimize._optimize.OptimizeResult
- scipy.optimize._optimize.OptimizeWarning
- scipy.optimize._optimize._MaxFuncCallError
- scipy.optimize._optimize._LineSearchError
- scipy.optimize._optimize.Brent
- scipy.optimize._optimize.BracketError
- scipy.optimize._optimize._Brute_Wrapper
- scipy.optimize._trustregion.BaseQuadraticSubproblem
- scipy.optimize._trustregion_dogleg.DoglegSubproblem
- scipy.optimize._trustregion_ncg.CGSteihaugSubproblem
- scipy.optimize._trustregion_exact.IterativeSubproblem
- scipy.optimize._constraints.NonlinearConstraint
- scipy.optimize._constraints.LinearConstraint
- scipy.optimize._constraints.Bounds
- scipy.optimize._constraints.PreparedConstraint
- scipy.optimize._trustregion_constr.canonical_constraint.CanonicalConstraint
- scipy.optimize._trustregion_constr.tr_interior_point.BarrierSubproblem
- scipy.optimize._trustregion_constr.report.ReportBase
- scipy.optimize._trustregion_constr.report.BasicReport
- scipy.optimize._trustregion_constr.report.SQPReport
- scipy.optimize._trustregion_constr.report.IPReport
- scipy.optimize._trustregion_constr.minimize_trustregion_constr.HessianLinearOperator
- scipy.optimize._trustregion_constr.minimize_trustregion_constr.LagrangianHessian
- scipy.optimize._lbfgsb_py.LbfgsInvHessProduct
- scipy.optimize._spectral._NoConvergence
- scipy.optimize._nonlin.NoConvergence
- scipy.optimize._nonlin.TerminationCondition
- scipy.optimize._nonlin.Jacobian
- scipy.optimize._nonlin.InverseJacobian
- scipy.optimize._nonlin.asjacobian.Jac
- scipy.optimize._nonlin.GenericBroyden
- scipy.optimize._nonlin.LowRankMatrix
- scipy.optimize._nonlin.BroydenFirst
- scipy.optimize._nonlin.BroydenSecond
- scipy.optimize._nonlin.Anderson
- scipy.optimize._nonlin.DiagBroyden
- scipy.optimize._nonlin.LinearMixing
- scipy.optimize._nonlin.ExcitingMixing
- scipy.optimize._nonlin.KrylovJacobian
- scipy.optimize._zeros_py.RootResults
- scipy.optimize._zeros_py.TOMS748Solver
- scipy.optimize._root_scalar.MemoizeDer
- scipy.optimize._basinhopping.Storage
- scipy.optimize._basinhopping.BasinHoppingRunner
- scipy.optimize._basinhopping.AdaptiveStepsize
- scipy.optimize._basinhopping.RandomDisplacement
- scipy.optimize._basinhopping.MinimizerWrapper
- scipy.optimize._basinhopping.Metropolis
- scipy.optimize._differentialevolution.DifferentialEvolutionSolver
- scipy.stats._warnings_errors.DegenerateDataWarning
- scipy.stats._warnings_errors.ConstantInputWarning
- scipy.stats._warnings_errors.NearConstantInputWarning
- scipy.stats._warnings_errors.FitError
- scipy.integrate._quadrature.AccuracyWarning
- scipy.integrate._quadrature.CacheAttributes
- scipy.integrate._odepack_py.ODEintWarning
- scipy.integrate._quadpack_py.IntegrationWarning
- scipy.integrate._quadpack_py._RangeFunc
- scipy.integrate._quadpack_py._OptFunc
- scipy.integrate._quadpack_py._NQuad
- scipy.integrate._ode.ode
- scipy.integrate._ode.complex_ode
- scipy.integrate._ode.IntegratorConcurrencyError
- scipy.integrate._ode.IntegratorBase
- scipy.integrate._ode.vode
- scipy.integrate._ode.zvode
- scipy.integrate._ode.dopri5
- scipy.integrate._ode.dop853
- scipy.integrate._ode.lsoda
- scipy.integrate._bvp.BVPResult
- scipy.integrate._ivp.common.OdeSolution
- scipy.integrate._ivp.base.OdeSolver
- scipy.integrate._ivp.base.DenseOutput
- scipy.integrate._ivp.base.ConstantDenseOutput
- scipy.integrate._ivp.bdf.BDF
- scipy.integrate._ivp.bdf.BdfDenseOutput
- scipy.integrate._ivp.radau.Radau
- scipy.integrate._ivp.radau.RadauDenseOutput
- scipy.integrate._ivp.rk.RungeKutta
- scipy.integrate._ivp.rk.RK23
- scipy.integrate._ivp.rk.RK45
- scipy.integrate._ivp.rk.DOP853
- scipy.integrate._ivp.rk.RkDenseOutput
- scipy.integrate._ivp.rk.Dop853DenseOutput
- scipy.integrate._ivp.lsoda.LSODA
- scipy.integrate._ivp.lsoda.LsodaDenseOutput
- scipy.integrate._ivp.ivp.OdeResult
- scipy.integrate._quad_vec.LRUDict
- scipy.integrate._quad_vec.SemiInfiniteFunc
- scipy.integrate._quad_vec.DoubleInfiniteFunc
- scipy.integrate._quad_vec._Bunch
- scipy.stats._censored_data.CensoredData
- scipy.stats._distn_infrastructure.rv_frozen
- scipy.stats._distn_infrastructure.rv_discrete_frozen
- scipy.stats._distn_infrastructure.rv_continuous_frozen
- scipy.stats._distn_infrastructure.rv_generic
- scipy.stats._distn_infrastructure._ShapeInfo
- scipy.stats._distn_infrastructure.rv_continuous
- scipy.stats._distn_infrastructure.rv_discrete
- scipy.stats._distn_infrastructure.rv_sample
- scipy.stats._continuous_distns.ksone_gen
- scipy.stats._continuous_distns.kstwo_gen
- scipy.stats._continuous_distns.kstwobign_gen
- scipy.stats._continuous_distns.norm_gen
- scipy.stats._continuous_distns.alpha_gen
- scipy.stats._continuous_distns.anglit_gen
- scipy.stats._continuous_distns.arcsine_gen
- scipy.stats._continuous_distns.FitDataError
- scipy.stats._continuous_distns.FitSolverError
- scipy.stats._continuous_distns.beta_gen
- scipy.stats._continuous_distns.betaprime_gen
- scipy.stats._continuous_distns.bradford_gen
- scipy.stats._continuous_distns.burr_gen
- scipy.stats._continuous_distns.burr12_gen
- scipy.stats._continuous_distns.fisk_gen
- scipy.stats._continuous_distns.cauchy_gen
- scipy.stats._continuous_distns.chi_gen
- scipy.stats._continuous_distns.chi2_gen
- scipy.stats._continuous_distns.cosine_gen
- scipy.stats._continuous_distns.dgamma_gen
- scipy.stats._continuous_distns.dweibull_gen
- scipy.stats._continuous_distns.expon_gen
- scipy.stats._continuous_distns.exponnorm_gen
- scipy.stats._continuous_distns.exponweib_gen
- scipy.stats._continuous_distns.exponpow_gen
- scipy.stats._continuous_distns.fatiguelife_gen
- scipy.stats._continuous_distns.foldcauchy_gen
- scipy.stats._continuous_distns.f_gen
- scipy.stats._continuous_distns.foldnorm_gen
- scipy.stats._continuous_distns.weibull_min_gen
- scipy.stats._continuous_distns.truncweibull_min_gen
- scipy.stats._continuous_distns.weibull_max_gen
- scipy.stats._continuous_distns.genlogistic_gen
- scipy.stats._continuous_distns.genpareto_gen
- scipy.stats._continuous_distns.genexpon_gen
- scipy.stats._continuous_distns.genextreme_gen
- scipy.stats._continuous_distns.gamma_gen
- scipy.stats._continuous_distns.erlang_gen
- scipy.stats._continuous_distns.gengamma_gen
- scipy.stats._continuous_distns.genhalflogistic_gen
- scipy.stats._continuous_distns.genhyperbolic_gen
- scipy.stats._continuous_distns.gompertz_gen
- scipy.stats._continuous_distns.gumbel_r_gen
- scipy.stats._continuous_distns.gumbel_l_gen
- scipy.stats._continuous_distns.halfcauchy_gen
- scipy.stats._continuous_distns.halflogistic_gen
- scipy.stats._continuous_distns.halfnorm_gen
- scipy.stats._continuous_distns.hypsecant_gen
- scipy.stats._continuous_distns.gausshyper_gen
- scipy.stats._continuous_distns.invgamma_gen
- scipy.stats._continuous_distns.invgauss_gen
- scipy.stats._continuous_distns.geninvgauss_gen
- scipy.stats._continuous_distns.norminvgauss_gen
- scipy.stats._continuous_distns.invweibull_gen
- scipy.stats._continuous_distns.jf_skew_t_gen
- scipy.stats._continuous_distns.johnsonsb_gen
- scipy.stats._continuous_distns.johnsonsu_gen
- scipy.stats._continuous_distns.laplace_gen
- scipy.stats._continuous_distns.laplace_asymmetric_gen
- scipy.stats._continuous_distns.levy_gen
- scipy.stats._continuous_distns.levy_l_gen
- scipy.stats._continuous_distns.logistic_gen
- scipy.stats._continuous_distns.loggamma_gen
- scipy.stats._continuous_distns.loglaplace_gen
- scipy.stats._continuous_distns.lognorm_gen
- scipy.stats._continuous_distns.gibrat_gen
- scipy.stats._continuous_distns.maxwell_gen
- scipy.stats._continuous_distns.mielke_gen
- scipy.stats._continuous_distns.kappa4_gen
- scipy.stats._continuous_distns.kappa3_gen
- scipy.stats._continuous_distns.moyal_gen
- scipy.stats._continuous_distns.nakagami_gen
- scipy.stats._continuous_distns.ncx2_gen
- scipy.stats._continuous_distns.ncf_gen
- scipy.stats._continuous_distns.t_gen
- scipy.stats._continuous_distns.nct_gen
- scipy.stats._continuous_distns.pareto_gen
- scipy.stats._continuous_distns.lomax_gen
- scipy.stats._continuous_distns.pearson3_gen
- scipy.stats._continuous_distns.powerlaw_gen
- scipy.stats._continuous_distns.powerlognorm_gen
- scipy.stats._continuous_distns.powernorm_gen
- scipy.stats._continuous_distns.rdist_gen
- scipy.stats._continuous_distns.rayleigh_gen
- scipy.stats._continuous_distns.reciprocal_gen
- scipy.stats._continuous_distns.rice_gen
- scipy.stats._continuous_distns.recipinvgauss_gen
- scipy.stats._continuous_distns.semicircular_gen
- scipy.stats._continuous_distns.skewcauchy_gen
- scipy.stats._continuous_distns.skewnorm_gen
- scipy.stats._continuous_distns.trapezoid_gen
- scipy.stats._continuous_distns.triang_gen
- scipy.stats._continuous_distns.truncexpon_gen
- scipy.stats._continuous_distns.truncnorm_gen
- scipy.stats._continuous_distns.truncpareto_gen
- scipy.stats._continuous_distns.tukeylambda_gen
- scipy.stats._continuous_distns.FitUniformFixedScaleDataError
- scipy.stats._continuous_distns.uniform_gen
- scipy.stats._continuous_distns.vonmises_gen
- scipy.stats._continuous_distns.wald_gen
- scipy.stats._continuous_distns.wrapcauchy_gen
- scipy.stats._continuous_distns.gennorm_gen
- scipy.stats._continuous_distns.halfgennorm_gen
- scipy.stats._continuous_distns.crystalball_gen
- scipy.stats._continuous_distns.argus_gen
- scipy.stats._continuous_distns.rv_histogram
- scipy.stats._continuous_distns.studentized_range_gen
- scipy.stats._continuous_distns.rel_breitwigner_gen
- scipy.stats._discrete_distns.binom_gen
- scipy.stats._discrete_distns.bernoulli_gen
- scipy.stats._discrete_distns.betabinom_gen
- scipy.stats._discrete_distns.nbinom_gen
- scipy.stats._discrete_distns.betanbinom_gen
- scipy.stats._discrete_distns.geom_gen
- scipy.stats._discrete_distns.hypergeom_gen
- scipy.stats._discrete_distns.nhypergeom_gen
- scipy.stats._discrete_distns.logser_gen
- scipy.stats._discrete_distns.poisson_gen
- scipy.stats._discrete_distns.planck_gen
- scipy.stats._discrete_distns.boltzmann_gen
- scipy.stats._discrete_distns.randint_gen
- scipy.stats._discrete_distns.zipf_gen
- scipy.stats._discrete_distns.zipfian_gen
- scipy.stats._discrete_distns.dlaplace_gen
- scipy.stats._discrete_distns.skellam_gen
- scipy.stats._discrete_distns.yulesimon_gen
- scipy.stats._discrete_distns._nchypergeom_gen
- scipy.stats._discrete_distns.nchypergeom_fisher_gen
- scipy.stats._discrete_distns.nchypergeom_wallenius_gen
- scipy.stats._levy_stable.levy_stable_gen
- scipy._lib._docscrape.Reader
- scipy._lib._docscrape.ParseError
- scipy._lib._docscrape.NumpyDocString
- scipy._lib._docscrape.FunctionDoc
- scipy._lib._docscrape.ClassDoc
- scipy.stats._hypotests.CramerVonMisesResult
- scipy.stats._hypotests.SomersDResult
- scipy.stats._hypotests.BarnardExactResult
- scipy.stats._hypotests.BoschlooExactResult
- scipy.stats._hypotests.TukeyHSDResult
- scipy.stats._resampling.BootstrapResult
- scipy.stats._resampling.MonteCarloTestResult
- scipy.stats._resampling.PermutationTestResult
- scipy.stats._resampling.ResamplingMethod
- scipy.stats._resampling.MonteCarloMethod
- scipy.stats._resampling.PermutationMethod
- scipy.stats._resampling.BootstrapMethod
- scipy.stats._binomtest.BinomTestResult
- scipy.stats._stats_py.AlexanderGovernResult
- scipy.stats._stats_py.PearsonRResult
- scipy.stats._stats_py._ParallelP
- scipy.stats._stats_py.TtestResult
- scipy.stats._stats_py.QuantileTestResult
- scipy.stats._fit.FitResult
- scipy.stats._relative_risk.RelativeRiskResult
- scipy.stats._odds_ratio.OddsRatioResult
- scipy.stats._morestats._BigFloat
- scipy.stats._morestats._ABW
- scipy.stats._morestats.DirectionalStats
- scipy.stats._multicomp.DunnettResult
- scipy.stats._kde.gaussian_kde
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    - N/A
    - N/A
    - N/A
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  - BBCount: 0
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    raised: []
    returnType: N/A
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    Callsites: []
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    EdgeCount: 4
    ICount: 0
    IfCount: 2
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    - numpy.errstate
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    - scipy.stats._continuous_distns.skewcauchy_gen._argcheck
    - scipy.stats._continuous_distns.weibull_min_gen._sf
    - scipy.stats._continuous_distns.powerlaw_gen._sf
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    - numpy.full
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    - scipy._lib._array_api.array_namespace
    - scipy.stats._continuous_distns.exponpow_gen._sf
    - result.append
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    - scipy.stats._continuous_distns.truncweibull_min_gen._sf
    - numpy.dstack
    - numpy.arctanh
    - numpy.asanyarray
    - scipy.stats._continuous_distns.jf_skew_t_gen._cdf
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    - scipy.stats._continuous_distns._argus_phi
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    - numpy.polyval
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    - scipy.special.gamma
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    - scipy.stats._continuous_distns.laplace_gen._sf
    - scipy.stats._continuous_distns.pearson3_gen._sf
    - scipy.stats._continuous_distns.alpha_gen._cdf
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    - scipy.stats._continuous_distns.ncf_gen._argcheck
    - scipy.stats._continuous_distns.halfcauchy_gen._sf
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    - scipy.stats._continuous_distns.foldcauchy_gen._cdf
    - numpy.zeros
    - scipy.stats._continuous_distns.genexpon_gen._cdf
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    - scipy.stats._continuous_distns.crystalball_gen._pdf.rhs
    - scipy.stats._continuous_distns.rice_gen._cdf
    - scipy.stats._continuous_distns.fisk_gen._logsf
    - scipy.stats._continuous_distns.mielke_gen._cdf
    - scipy.stats._continuous_distns._norm_sf
    linkageType: pythonLinkage
    raised:
    - ValueError
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    linkageType: pythonLinkage
    raised:
    - ValueError
    returnType: N/A
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    - scipy.stats._continuous_distns.geninvgauss_gen._cdf._cdf_single
    - scipy.stats._continuous_distns.skewnorm_gen._argcheck
    - scipy.stats._continuous_distns.gamma_gen._sf
    - scipy.stats._continuous_distns.burr12_gen._munp.moment_if_exists
    - scipy.stats._continuous_distns.burr12_gen._logsf
    - scipy.stats._continuous_distns.recipinvgauss_gen._cdf
    - numpy.minimum
    - scipy.stats._continuous_distns.nct_gen._cdf
    - scipy.stats._continuous_distns.ncx2_gen._cdf.<lambda1>
    - scipy.stats._continuous_distns.exponweib_gen._sf
    - numpy.broadcast_to
    - scipy.stats._continuous_distns.genextreme_gen._ppf.<lambda1>
    - scipy.stats._continuous_distns.genlogistic_gen._entropy.<lambda2>
    - scipy.special.ndtri
    - numpy.ma.apply_along_axis
    - <builtin>.map
    - scipy.stats._continuous_distns.crystalball_gen._pdf.lhs
    - numpy.exp
    - scipy.stats._continuous_distns.gengamma_gen._entropy.asymptotic
    - scipy.stats._discrete_distns.nhypergeom_gen._logpmf.<lambda1>
    - scipy.special.logsumexp
    - <builtin>.float
    - numpy.tanh
    - scipy.stats._continuous_distns.chi2_gen._ppf
    - scipy.stats._continuous_distns.foldnorm_gen._sf
    - scipy.stats._continuous_distns.cauchy_gen._cdf
    - scipy.stats._continuous_distns.genextreme_gen._isf.<lambda1>
    - scipy.stats._continuous_distns.truncweibull_min_gen._cdf
    - scipy.stats._continuous_distns.gamma_gen._entropy.regular_formula
    - levyst.Nolan.g
    - scipy.stats._continuous_distns.halfnorm_gen._cdf
    - scipy.stats._continuous_distns.invgamma_gen._stats.<lambda2>
    - scipy.stats._levy_stable._nolan_round_x_near_zeta
    - scipy._lib._util._lazywhere
    - numpy.prod
    - scipy.stats._boost._nct_sf
    - scipy.stats._continuous_distns.lognorm_gen._sf
    - scipy.stats._continuous_distns.genexpon_gen._sf
    - scipy.stats._continuous_distns.truncnorm_gen._get_support
    - scipy.stats._continuous_distns.genpareto_gen._argcheck
    - scipy.stats._continuous_distns.reciprocal_gen._get_support
    - scipy._lib._util._lazyselect
    - numpy.ones_like
    - scipy.stats._continuous_distns.crystalball_gen._cdf.rhs
    - scipy.stats._continuous_distns.fisk_gen._sf
    - scipy.special.erf
    - numpy.all
    - scipy.stats._levy_stable._rvs_Z1.alpha1func
    - scipy.stats._continuous_distns.crystalball_gen._cdf.lhs
    - scipy.stats._continuous_distns.lomax_gen._cdf
    - scipy.special.smirnov
    - scipy.stats._continuous_distns.expon_gen._cdf
    - numpy.squeeze
    - scipy.stats._continuous_distns.beta_gen._sf
    - numpy.nditer
    - numpy.expm1
    - scipy.stats._ksstats._kolmogn_PelzGood
    - numpy.convolve
    - scipy.stats._continuous_distns.dgamma_gen._sf
    - numpy.issubdtype
    - scipy.stats._continuous_distns.weibull_max_gen._sf
    - scipy.stats._continuous_distns.genpareto_gen._stats.<lambda1>
    - <builtin>.abs
    - scipy.stats._continuous_distns.burr_gen._logsf
    - scipy.stats._continuous_distns.loggamma_gen._ppf.<lambda1>
    - scipy.stats._continuous_distns.truncweibull_min_gen._argcheck
    - scipy.stats._discrete_distns.zipf_gen._munp.<lambda1>
    - scipy.stats._continuous_distns.genhalflogistic_gen._cdf
    - scipy.stats._continuous_distns.truncnorm_gen._munp.n_th_moment.<lambda1>
    - scipy.stats._continuous_distns.loggamma_gen._sf
    - scipy.stats._continuous_distns.kappa3_gen._sf
    - scipy.stats._continuous_distns.dweibull_gen._cdf
    - V1.fill
    - scipy.stats._continuous_distns.nct_gen._argcheck
    - scipy.stats._continuous_distns.rayleigh_gen._cdf
    - <builtin>.sum
    - scipy.stats._continuous_distns._log_gauss_mass.mass_case_central
    - scipy.stats._continuous_distns.loglaplace_gen._sf
    - scipy.stats._continuous_distns.weibull_min_gen._cdf
    - scipy.stats._ksstats._select_and_clip_prob
    - scipy.stats._continuous_distns.moyal_gen._sf
    - numpy.matmul
    - scipy.stats._discrete_distns.hypergeom_gen._get_support
    - scipy.stats._continuous_distns.geninvgauss_gen._cdf
    - scipy.stats._continuous_distns.ncx2_gen._logpdf.<lambda1>
    - scipy.stats._continuous_distns.t_gen._cdf
    - scipy.stats._continuous_distns.loggamma_gen._cdf.<lambda2>
    - scipy.stats._continuous_distns.loggamma_gen._isf.<lambda1>
    - scipy.stats._continuous_distns.f_gen._stats.<lambda2>
    - scipy.stats._continuous_distns.wald_gen._sf
    - scipy.stats._continuous_distns._ncx2_log_pdf.<lambda1>
    - scipy.stats._discrete_distns.boltzmann_gen._get_support
    - numpy.log1p
    - scipy.stats._continuous_distns.chi_gen._entropy.asymptotic_formula
    - scipy.stats._distn_infrastructure.rv_generic._open_support_mask
    - result.squeeze
    - numpy.promote_types
    - scipy.special.kv
    - scipy.stats._continuous_distns.laplace_gen._cdf
    - scipy.stats._continuous_distns.arcsine_gen._cdf
    - numpy.reshape
    - warnings.warn
    - scipy.stats._continuous_distns.genextreme_gen._loglogcdf.<lambda1>
    - <builtin>.pow
    - scipy.stats._continuous_distns.burr_gen._pdf.<lambda1>
    - scipy.stats._continuous_distns.argus_gen._cdf
    - scipy.stats._levy_stable._cdf_single_value_piecewise_post_rounding_Z0
    - scipy.stats._continuous_distns.truncnorm_gen._logsf
    - numpy.mintypecode
    - _ufuncs._riemann_zeta
    - numpy.logical_and
    - scipy.stats._continuous_distns.foldcauchy_gen._sf
    - scipy.stats._continuous_distns.f_gen._stats.<lambda4>
    - arg.ravel
    - numpy.abs
    - scipy.stats._continuous_distns.ncx2_gen._isf.<lambda1>
    - scipy.stats._continuous_distns.loglaplace_gen._cdf
    - scipy.stats._continuous_distns.betaprime_gen._cdf.<lambda1>
    - scipy.stats._continuous_distns.erlang_gen._argcheck
    - scipy.stats._continuous_distns.beta_gen._cdf
    - scipy.stats._continuous_distns.skewnorm_gen._logpdf.<lambda1>
    - scipy.stats._continuous_distns.genpareto_gen._logpdf.<lambda1>
    - scipy.stats._continuous_distns.powerlognorm_gen._cdf
    - scipy.special.gammainc
    - scipy.stats._continuous_distns.rdist_gen._cdf
    - numpy.floor
    - numpy.arcsinh
    - scipy.stats._levy_stable._rvs_Z1.otherwise
    - scipy.stats._continuous_distns.betaprime_gen._sf
    - scipy.stats._continuous_distns.gengamma_gen._argcheck
    - scipy.stats._continuous_distns.genhyperbolic_gen._cdf
    - scipy.stats._continuous_distns.fatiguelife_gen._sf
    - scipy.stats._continuous_distns.skewnorm_gen._pdf.<lambda1>
    - scipy.stats._continuous_distns.skewnorm_gen._sf
    - scipy.stats._levy_stable.levy_stable_gen._cdf.<lambda1>
    - scipy.stats._boost._ncf_cdf
    - scipy.stats._continuous_distns.studentized_range_gen._cdf
    - scipy.stats._continuous_distns.gennorm_gen._sf
    - scipy.stats._continuous_distns.gennorm_gen._cdf
    - scipy.stats._continuous_distns.lognorm_gen._cdf
    - scipy.stats._continuous_distns.cosine_gen._cdf
    - ans.copy
    - scipy.stats._boost._skewnorm_cdf
    - x_1.squeeze
    - scipy.stats._continuous_distns.genpareto_gen._stats.<lambda4>
    - scipy.stats._continuous_distns.exponweib_gen._cdf
    - scipy.stats._continuous_distns.powernorm_gen._logsf
    - scipy.stats._continuous_distns.geninvgauss_gen._argcheck
    - <builtin>.hasattr
    - scipy.stats._continuous_distns.kappa4_gen._get_support
    - scipy.stats._continuous_distns.genhyperbolic_gen._sf
    - scipy.stats._continuous_distns.skewcauchy_gen._cdf
    - scipy.stats._continuous_distns.halflogistic_gen._cdf
    - scipy.stats._continuous_distns._norm_logcdf
    - scipy.stats._levy_stable._rvs_Z1.alphanot1func
    - scipy.stats._continuous_distns.ncx2_gen._pdf.<lambda1>
    - scipy.stats._continuous_distns.burr_gen._stats.<lambda2>
    - scipy.stats._continuous_distns.invgauss_gen._logcdf
    - numpy.arange
    - scipy.stats._continuous_distns.crystalball_gen._ppf.ppf_greater
    - scipy.stats._continuous_distns.foldnorm_gen._cdf
    - scipy.stats._continuous_distns.invgamma_gen._stats.<lambda3>
    - scipy.stats._continuous_distns.norm_gen._pdf
    - numpy.tan
    - scipy.stats._continuous_distns.f_gen._sf
    - scipy.stats._continuous_distns.genpareto_gen._munp.<lambda1>
    - scipy.stats._continuous_distns.truncexpon_gen._sf
    - <builtin>.min
    - scipy.stats._continuous_distns.cauchy_gen._sf
    - scipy.stats._discrete_distns._gen_harmonic_leq1
    - scipy._lib._ccallback.LowLevelCallable.from_cython
    - scipy.stats._continuous_distns.reciprocal_gen._cdf
    - scipy.stats._continuous_distns.truncpareto_gen._argcheck
    - numpy.sin
    - scipy.stats._continuous_distns.pareto_gen._sf
    - scipy.stats._continuous_distns.betaprime_gen._sf.<lambda2>
    - scipy.stats._continuous_distns.johnsonsb_gen._sf
    - numpy.eye
    - scipy.stats._continuous_distns._log_gauss_mass.mass_case_right
    - scipy.stats._continuous_distns.genextreme_gen._loglogcdf
    - scipy.stats._continuous_distns.genhyperbolic_gen._integrate_pdf
    - scipy.stats._continuous_distns.f_gen._stats.<lambda1>
    - scipy.special.log_ndtr
    - scipy.stats._continuous_distns.logistic_gen._cdf
    - scipy.stats._continuous_distns.burr12_gen._sf
    - kwds.get
    - scipy.special.gammaln
    - scipy.stats._continuous_distns.wrapcauchy_gen._cdf.f2
    - scipy.stats._continuous_distns.exponpow_gen._cdf
    - scipy.stats._continuous_distns.genlogistic_gen._logcdf
    - scipy.stats._continuous_distns.laplace_asymmetric_gen._sf
    - numpy.isscalar
    - scipy.stats._continuous_distns.loggamma_gen._entropy.regular
    - scipy.stats._continuous_distns.norminvgauss_gen._sf
    - scipy.stats._continuous_distns.tukeylambda_gen._argcheck
    - scipy.stats._discrete_distns.betanbinom_gen._stats.kurtosis
    - numpy.vectorize
    - scipy.stats._continuous_distns._norm_logsf
    - scipy.stats._continuous_distns.burr12_gen._cdf
    - scipy._lib.array_api_compat.common._helpers._is_numpy_array
    - numpy.round
    - scipy.stats._levy_stable._nolan_round_difficult_input
    - scipy.stats._continuous_distns.genpareto_gen._stats.<lambda2>
    - scipy.stats._continuous_distns.kstwobign_gen._sf
    - scipy.stats._ksstats._clip_prob
    - scipy.stats._continuous_distns.gompertz_gen._sf
    - scipy.stats._distn_infrastructure.rv_continuous.sf
    - scipy.stats._continuous_distns.anglit_gen._sf
    - <builtin>.len
    - scipy.optimize._minpack_py._relerr
    - scipy.stats._levy_stable._cdf_single_value_piecewise_post_rounding_Z0.integrand
    - scipy.stats._continuous_distns.invgamma_gen._entropy.asymptotic
    - scipy.stats._continuous_distns.skewnorm_gen._pdf.<lambda2>
    - scipy.stats._continuous_distns.loggamma_gen._ppf.<lambda2>
    - scipy.stats._continuous_distns.chi2_gen._pdf
    - scipy.stats._continuous_distns.burr_gen._logpdf.<lambda1>
    - scipy.stats._continuous_distns.t_gen._pdf.<lambda1>
    - scipy.stats._continuous_distns.genextreme_gen._stats.<lambda1>
    - scipy.stats._continuous_distns.ksone_gen._cdf
    - scipy.stats._continuous_distns.f_gen._stats.<lambda3>
    - numpy.sort
    - scipy.stats._continuous_distns.crystalball_gen._argcheck
    - scipy.stats._continuous_distns.crystalball_gen._cdf
    - scipy.stats._continuous_distns.loggamma_gen._cdf.<lambda1>
    - <builtin>.max
    - scipy.stats._continuous_distns.expon_gen._sf
    - scipy.stats._ksstats._kolmogn
    - scipy.stats._discrete_distns.dlaplace_gen._cdf.f2
    - scipy.stats._continuous_distns.wrapcauchy_gen._cdf
    - scipy.stats._continuous_distns.gompertz_gen._cdf
    - numpy.ma.fix_invalid
    - scipy.stats._continuous_distns.wald_gen._cdf
    - scipy.stats._continuous_distns.genextreme_gen._argcheck
    - scipy.stats._continuous_distns.triang_gen._cdf
    - scipy.stats._ksstats._pomeranz_compute_j1j2
    - scipy.stats._continuous_distns.hypsecant_gen._sf
    - scipy.stats._continuous_distns.t_gen._pdf.<lambda2>
    - scipy.stats._continuous_distns.norm_gen._entropy
    - scipy.stats._continuous_distns.recipinvgauss_gen._sf
    - scipy.stats._continuous_distns.geninvgauss_gen._logquasipdf.<lambda1>
    - scipy.stats._continuous_distns.burr_gen._munp.__munp
    - numpy.where
    - scipy.special.psi
    - scipy.stats._continuous_distns.ncf_gen._cdf
    - scipy.stats._boost._ncf_sf
    - scipy.stats._continuous_distns.t_gen._logpdf.norm_logpdf
    - scipy.stats._continuous_distns.truncpareto_gen._cdf
    - scipy.stats._continuous_distns.genextreme_gen._cdf
    - scipy.stats._continuous_distns.genlogistic_gen._sf
    - f.integral
    - scipy.stats._continuous_distns.johnsonsu_gen._argcheck
    - scipy.stats._continuous_distns.loggamma_gen._isf.<lambda2>
    - functools.partial
    - scipy.stats._continuous_distns.rice_gen._argcheck
    - scipy.stats._continuous_distns.gengamma_gen._cdf
    - scipy.stats._continuous_distns.truncnorm_gen._stats._truncnorm_stats_scalar.<lambda3>
    - scipy.stats._continuous_distns.weibull_max_gen._cdf
    - numpy.size
    - scipy.stats._continuous_distns.kappa3_gen._cdf
    - scipy.stats._continuous_distns.halfcauchy_gen._cdf
    - numpy.broadcast_arrays
    - scipy.stats._continuous_distns._ncx2_log_pdf
    - data.compressed
    - scipy.stats._continuous_distns.invgamma_gen._entropy.regular
    - scipy.stats._continuous_distns.levy_l_gen._sf
    - scipy.stats._continuous_distns._norm_pdf
    - numpy.imag
    - scipy.stats._continuous_distns.t_gen._entropy.asymptotic
    - scipy.stats._continuous_distns.wald_gen._logcdf
    - scipy.stats._boost.ncx2_ufunc._ncx2_isf
    - scipy.stats._levy_stable._cdf_single_value_piecewise_Z1
    - <builtin>.range
    - scipy.stats._continuous_distns.gumbel_l_gen._cdf
    - scipy.stats._continuous_distns.fatiguelife_gen._cdf
    - scipy.stats._distn_infrastructure.rv_continuous._cdf
    - numpy.full_like
    - scipy.stats._continuous_distns.powerlaw_gen._cdf
    - scipy.stats._continuous_distns.halfgennorm_gen._cdf
    - numpy.extract
    - _ufuncs._kolmogc
    - scipy.stats._continuous_distns.invweibull_gen._cdf
    - <builtin>.super
    - scipy.stats._mstats_extras.hdquantiles._hd_1D
    - scipy.stats._continuous_distns.genextreme_gen._logpdf.<lambda2>
    - scipy.stats._continuous_distns.truncnorm_gen._logcdf
    - numpy.isclose
    - scipy.stats._levy_stable.levy_stable_gen.cdf
    - numpy.dot
    - scipy.stats._continuous_distns.burr_gen._pdf.<lambda2>
    - scipy.stats._continuous_distns.kappa4_gen._logcdf
    - scipy.stats._continuous_distns.ncf_gen._sf
    - scipy.stats._multivariate.multivariate_t_gen._entropy.regular
    - scipy.stats._continuous_distns.genextreme_gen._logpdf.<lambda1>
    - <builtin>.tuple
    - scipy.stats._continuous_distns.crystalball_gen._ppf.ppf_less
    - numpy.isfinite
    - scipy.stats._continuous_distns.rdist_gen._sf
    - <builtin>.divmod
    - scipy.stats._continuous_distns.kstwo_gen._sf
    - scipy.stats._continuous_distns.nct_gen._sf
    - numpy.isnan
    - scipy.stats._continuous_distns._log_gauss_mass.mass_case_left
    - scipy.stats._ksstats._kolmogn_DMTW
    - scipy.stats._levy_stable.levy_stable_gen._pdf.<lambda1>
    - numpy.ldexp
    - scipy.stats._continuous_distns.crystalball_gen._logpdf.lhs
    - scipy.stats._ksstats.kolmogn
    - scipy.stats._continuous_distns.invgamma_gen._stats.<lambda4>
    - scipy.stats._continuous_distns.halflogistic_gen._sf
    - scipy.stats._continuous_distns.ncx2_gen._sf
    - <builtin>.enumerate
    - scipy.stats._continuous_distns.genpareto_gen._logsf.<lambda1>
    - scipy.stats._continuous_distns.hypsecant_gen._cdf
    - scipy.stats._continuous_distns.burr_gen._stats.<lambda1>
    - scipy.stats._continuous_distns.pearson3_gen._preprocess
    - scipy.stats._continuous_distns.halflogistic_gen._isf.<lambda2>
    - numpy.asarray
    - scipy.stats._continuous_distns.betaprime_gen._munp.<lambda1>
    - scipy.stats._continuous_distns.halfgennorm_gen._sf
    - numpy.sign
    - scipy.stats._continuous_distns.cosine_gen._sf
    - numpy.square
    - numpy.unique
    - scipy.stats._discrete_distns.zipfian_gen._get_support
    - scipy.stats._continuous_distns.tukeylambda_gen._cdf
    - scipy.special.gammaincc
    - scipy.stats._continuous_distns.johnsonsu_gen._sf
    - scipy.special._basic.zeta
    - scipy.stats._continuous_distns.invgauss_gen._sf
    - levyst.Nolan
    - numpy.sum
    - scipy.stats._ksstats._kolmogn_Pomeranz
    - scipy.stats._boost.ncx2_ufunc._ncx2_cdf
    - scipy.stats._continuous_distns.genhyperbolic_gen._argcheck
    - scipy.stats._continuous_distns.reciprocal_gen._argcheck
    - scipy.stats._discrete_distns.bernoulli_gen._get_support
    - <builtin>.int
    - scipy.stats._continuous_distns.argus_gen._sf
    - scipy.special.ndtr
    - scipy.stats._distn_infrastructure.argsreduce
    - scipy.stats._continuous_distns.trapezoid_gen._cdf
    - numpy.cos
    - scipy.stats._continuous_distns.truncweibull_min_gen._get_support
    - <builtin>.isinstance
    - scipy.stats._continuous_distns.chi2_gen._entropy.asymptotic_formula
    - scipy.stats._continuous_distns.invgamma_gen._sf
    - scipy.stats._continuous_distns.chi2_gen._logpdf
    - scipy.stats._ksstats._log_nfactorial_div_n_pow_n
    - scipy._lib.array_api_compat.common._helpers._is_torch_array
    - scipy.stats._continuous_distns.powernorm_gen._sf
    - scipy.integrate.quad
    - scipy.stats._discrete_distns._gen_harmonic_gt1
    - scipy.stats._continuous_distns.pearson3_gen._cdf
    - scipy.stats._discrete_distns.poisson_gen._stats.<lambda2>
    - scipy.stats._continuous_distns.lomax_gen._sf
    - scipy.stats._continuous_distns.truncnorm_gen._stats._truncnorm_stats_scalar.<lambda4>
    - numpy.any
    - scipy.stats._distn_infrastructure.rv_continuous.cdf
    - scipy.stats._continuous_distns.mielke_gen._munp.nth_moment
    - scipy.stats._continuous_distns._lognorm_logpdf.<lambda1>
    - scipy.stats._continuous_distns.chi2_gen._entropy.regular_formula
    - scipy.stats._continuous_distns.t_gen._logpdf.t_logpdf
    - scipy.stats._continuous_distns.rayleigh_gen._logsf
    - scipy.stats._continuous_distns.trapezoid_gen._argcheck
    - scipy.stats._continuous_distns._norm_logpdf
    - scipy.stats._continuous_distns.t_gen._logpdf
    - scipy.stats._continuous_distns.crystalball_gen._logpdf.rhs
    - scipy.stats._continuous_distns.gamma_gen._cdf
    - _ufuncs._cosine_cdf
    - scipy.stats._continuous_distns.nakagami_gen._argcheck
    - scipy.stats._continuous_distns.genpareto_gen._stats.<lambda3>
    - numpy.sqrt
    - scipy.stats._continuous_distns.burr_gen._cdf
    - scipy.stats._continuous_distns.truncnorm_gen._cdf
    - numpy.ma.array
    - scipy.stats._continuous_distns.t_gen._entropy.regular
    - scipy.stats._continuous_distns.kstwo_gen._cdf
    - scipy.stats._continuous_distns.invweibull_gen._sf
    - scipy.stats._continuous_distns.gumbel_l_gen._sf
    - scipy.stats._continuous_distns.invgamma_gen._stats.<lambda1>
    - numpy.array
    - scipy.stats._continuous_distns.foldcauchy_gen._argcheck
    - scipy.stats._continuous_distns.burr_gen._munp.<lambda1>
    - scipy.stats._continuous_distns.johnsonsb_gen._argcheck
    - scipy.stats._continuous_distns.genpareto_gen._munp.__munp
    - scipy.stats._continuous_distns.studentized_range_gen._argcheck
    - scipy.stats._levy_stable.levy_stable_gen._cdf
    - numpy.fft.fft
    - scipy.stats._continuous_distns.nakagami_gen._sf
    - scipy.stats._continuous_distns.skewnorm_gen._cdf
    - scipy.stats._continuous_distns.triang_gen._argcheck
    - scipy.stats._continuous_distns.norminvgauss_gen._argcheck
    - scipy.stats._continuous_distns.gibrat_gen._cdf
    - scipy.stats._continuous_distns.chi_gen._cdf
    - numpy.power
    - numpy.log
    - scipy.stats._continuous_distns.truncnorm_gen._stats._truncnorm_stats_scalar.<lambda2>
    - scipy.stats._continuous_distns.halflogistic_gen._isf.<lambda1>
    - scipy.stats._discrete_distns.poisson_gen._stats.<lambda1>
    - numpy.real
    - <builtin>.zip
    - scipy.stats._continuous_distns.rel_breitwigner_gen._cdf
    - scipy.stats._continuous_distns.wrapcauchy_gen._argcheck
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Function coverage:
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  - 3665
  - 3538
  - 3539
  - 3666
  - 3667
  - 3668
  - 3669
  - 3672
  - 3546
  - 3547
  - 3548
  - 3674
  - 3556
  - 3563
  - 3566
  - 3574
  - 3578
  scipy.cluster.hierarchy._get_leaves_color_list:
  - 3373
  - 3374
  - 3377
  - 3378
  - 3383
  scipy.cluster.hierarchy._get_tick_rotation:
  - 2781
  - 2782
  scipy.cluster.hierarchy._get_tick_text_size:
  - 2776
  - 2775
  scipy.cluster.hierarchy._order_cluster_tree:
  - 1280
  - 1281
  - 1258
  - 1271
  - 1272
  - 1273
  - 1277
  - 1278
  - 1279
  scipy.cluster.hierarchy._plot_dendrogram:
  - 2816
  - 2817
  - 2818
  - 2819
  - 2821
  - 2822
  - 2826
  - 2827
  - 2828
  - 2830
  - 2832
  - 2833
  - 2835
  - 2838
  - 2839
  - 2841
  - 2843
  - 2845
  - 2847
  - 2848
  - 2849
  - 2850
  - 2852
  - 2853
  - 2857
  - 2858
  - 2859
  - 2861
  - 2863
  - 2864
  - 2866
  - 2869
  - 2870
  - 2872
  - 2875
  - 2876
  - 2878
  - 2882
  - 2884
  - 2886
  - 2887
  - 2891
  - 2892
  - 2897
  - 2898
  - 2899
  - 2901
  - 2902
  - 2904
  - 2906
  - 2907
  - 2908
  - 2910
  - 2911
  - 2912
  - 2913
  - 2914
  - 2916
  - 2917
  - 2794
  - 2803
  - 2804
  - 2811
  - 2815
  scipy.cluster.hierarchy._remove_dups:
  - 2760
  - 2765
  - 2767
  - 2768
  - 2769
  - 2770
  scipy.cluster.hierarchy._warning:
  - 160
  scipy.cluster.hierarchy.average:
  - 408
  - 330
  scipy.cluster.hierarchy.centroid:
  - 497
  - 595
  scipy.cluster.hierarchy.complete:
  - 248
  - 326
  scipy.cluster.hierarchy.cophenet:
  - 1664
  - 1666
  - 1667
  - 1544
  - 1673
  - 1650
  - 1652
  - 1653
  - 1655
  - 1657
  - 1658
  - 1659
  - 1660
  - 1663
  scipy.cluster.hierarchy.correspond:
  - 2340
  - 2388
  - 2389
  - 2390
  - 2391
  - 2392
  - 2393
  scipy.cluster.hierarchy.cut_tree:
  - 1286
  - 1331
  - 1332
  - 1333
  - 1335
  - 1338
  - 1339
  - 1340
  - 1341
  - 1342
  - 1343
  - 1345
  - 1346
  - 1349
  - 1352
  - 1354
  - 1355
  - 1356
  - 1359
  - 1360
  - 1361
  - 1363
  - 1364
  - 1365
  - 1366
  scipy.cluster.hierarchy.dendrogram:
  - 3332
  - 3357
  - 3358
  - 3359
  - 3367
  - 3003
  - 3271
  - 3272
  - 3274
  - 3278
  - 3280
  - 3283
  - 3286
  - 3289
  - 3290
  - 3294
  - 3298
  - 3299
  - 3302
  - 3306
  - 3307
  - 3310
  - 3322
  - 3324
  scipy.cluster.hierarchy.fcluster:
  - 2560
  - 2561
  - 2563
  - 2564
  - 2567
  - 2568
  - 2569
  - 2570
  - 2571
  - 2572
  - 2573
  - 2574
  - 2575
  - 2576
  - 2580
  - 2397
  - 2547
  - 2548
  - 2549
  - 2552
  - 2554
  - 2555
  - 2557
  - 2558
  - 2559
  scipy.cluster.hierarchy.fclusterdata:
  - 2668
  - 2669
  - 2671
  - 2681
  - 2675
  - 2676
  - 2677
  - 2678
  - 2679
  - 2585
  - 2682
  scipy.cluster.hierarchy.from_mlab_linkage:
  - 1824
  - 1825
  - 1827
  - 1831
  - 1832
  - 1834
  - 1835
  - 1839
  - 1840
  - 1841
  - 1842
  - 1843
  - 1750
  - 1819
  - 1820
  scipy.cluster.hierarchy.inconsistent:
  - 1732
  - 1733
  - 1734
  - 1736
  - 1741
  - 1678
  - 1743
  - 1744
  - 1745
  scipy.cluster.hierarchy.int_floor:
  - 166
  scipy.cluster.hierarchy.is_isomorphic:
  - 3680
  - 3746
  - 3748
  - 3750
  - 3755
  - 3756
  - 3757
  - 3759
  - 3761
  - 3740
  - 3741
  scipy.cluster.hierarchy.is_monotonic:
  - 2017
  - 1935
  - 2012
  - 2013
  - 2014
  scipy.cluster.hierarchy.is_valid_im:
  - 2112
  - 2115
  - 2021
  - 2118
  - 2121
  - 2124
  - 2127
  - 2130
  - 2134
  - 2136
  - 2137
  - 2107
  - 2108
  scipy.cluster.hierarchy.is_valid_linkage:
  - 2144
  - 2240
  - 2241
  - 2244
  - 2247
  - 2250
  - 2253
  - 2224
  - 2225
  - 2257
  - 2259
  - 2260
  - 2229
  - 2231
  - 2234
  - 2236
  scipy.cluster.hierarchy.leaders:
  - 4162
  - 4163
  - 4164
  - 4165
  - 4166
  - 4167
  - 4168
  - 4169
  - 4172
  - 4050
  - 4151
  - 4152
  - 4153
  - 4154
  - 4156
  - 4159
  scipy.cluster.hierarchy.leaves_list:
  - 2734
  - 2735
  - 2736
  - 2738
  - 2739
  - 2740
  - 2741
  - 2687
  scipy.cluster.hierarchy.linkage:
  - 1024
  - 1025
  - 1029
  - 1033
  - 1036
  - 1037
  - 1038
  - 1039
  - 1040
  - 1042
  - 1043
  - 1045
  - 1046
  - 1047
  - 800
  - 1005
  - 1006
  - 1008
  - 1011
  - 1015
  - 1016
  - 1017
  - 1018
  - 1019
  - 1020
  scipy.cluster.hierarchy.maxRstat:
  - 4033
  - 4036
  - 4041
  - 4042
  - 4043
  - 3948
  - 4044
  - 4045
  - 4024
  - 4025
  - 4026
  - 4027
  - 4028
  - 4030
  scipy.cluster.hierarchy.maxdists:
  - 3842
  - 3843
  - 3844
  - 3847
  - 3848
  - 3849
  - 3850
  - 3770
  scipy.cluster.hierarchy.maxinconsts:
  - 3936
  - 3939
  - 3940
  - 3941
  - 3942
  - 3943
  - 3855
  - 3929
  - 3930
  - 3931
  - 3932
  - 3933
  scipy.cluster.hierarchy.median:
  - 697
  - 599
  scipy.cluster.hierarchy.num_obs_linkage:
  - 2333
  - 2301
  - 2334
  - 2335
  scipy.cluster.hierarchy.optimal_leaf_ordering:
  - 1538
  - 1539
  - 1476
  - 1540
  - 1514
  - 1515
  - 1516
  - 1518
  - 1520
  - 1521
  - 1522
  - 1523
  - 1524
  - 1525
  - 1529
  - 1530
  - 1534
  scipy.cluster.hierarchy.set_link_color_palette:
  - 2982
  - 2985
  - 2987
  - 2989
  - 2926
  scipy.cluster.hierarchy.single:
  - 170
  - 244
  scipy.cluster.hierarchy.to_mlab_linkage:
  - 1921
  - 1922
  - 1924
  - 1925
  - 1926
  - 1928
  - 1847
  scipy.cluster.hierarchy.to_tree:
  - 1443
  - 1444
  - 1464
  - 1448
  - 1451
  - 1452
  - 1453
  - 1457
  - 1462
  - 1432
  - 1433
  - 1434
  - 1373
  - 1469
  scipy.cluster.hierarchy.ward:
  - 796
  - 701
  scipy.cluster.hierarchy.weighted:
  - 412
  - 493
  scipy.cluster.vq:
  - 1
  scipy.cluster.vq._kmeans:
  - 320
  - 321
  - 322
  - 323
  - 325
  - 276
  - 310
  - 313
  - 314
  - 316
  - 317
  - 318
  scipy.cluster.vq._kpoints:
  - 522
  - 524
  - 525
  - 503
  scipy.cluster.vq._kpp:
  - 609
  - 610
  - 611
  - 580
  - 614
  - 615
  - 616
  - 617
  - 618
  - 619
  - 605
  - 607
  scipy.cluster.vq._krandinit:
  - 551
  - 552
  - 554
  - 555
  - 556
  - 557
  - 558
  - 559
  - 529
  - 561
  - 562
  - 563
  - 564
  - 567
  - 571
  - 572
  - 573
  scipy.cluster.vq._missing_raise:
  - 635
  scipy.cluster.vq._missing_warn:
  - 628
  - 629
  scipy.cluster.vq.kmeans:
  - 482
  - 483
  - 485
  - 488
  - 332
  - 492
  - 494
  - 495
  - 496
  - 465
  - 466
  - 468
  - 469
  - 470
  - 471
  - 475
  - 476
  - 479
  scipy.cluster.vq.kmeans2:
  - 768
  - 645
  - 776
  - 777
  - 779
  - 780
  - 781
  - 782
  - 784
  - 789
  - 793
  - 794
  - 797
  - 800
  - 802
  - 805
  - 806
  - 813
  - 814
  - 816
  - 817
  - 818
  - 820
  - 822
  - 823
  - 824
  - 829
  scipy.cluster.vq.py_vq:
  - 257
  - 258
  - 259
  - 261
  - 264
  - 269
  - 270
  - 271
  - 221
  scipy.cluster.vq.vq:
  - 204
  - 205
  - 206
  - 207
  - 209
  - 210
  - 147
  - 212
  - 213
  - 214
  - 215
  - 216
  - 217
  scipy.cluster.vq.whiten:
  - 134
  - 135
  - 136
  - 138
  - 140
  - 88
  scipy.conftest:
  - 128
  - 129
  - 131
  - 141
  - 144
  - 147
  - 149
  - 210
  - 211
  - 218
  - 91
  - 221
  - 224
  - 229
  - 231
  - 109
  - 111
  - 115
  - 117
  - 123
  scipy.conftest._get_mark:
  - 35
  - 36
  - 38
  scipy.conftest.check_fpu_mode:
  - 96
  - 97
  - 98
  - 100
  - 101
  - 93
  scipy.conftest.pytest_configure:
  - 25
  - 21
  - 30
  - 23
  scipy.conftest.pytest_runtest_setup:
  - 69
  - 43
  - 44
  - 75
  - 46
  - 80
  - 49
  - 50
  - 81
  - 52
  - 53
  - 54
  - 82
  - 84
  - 58
  - 59
  scipy.conftest.skip_if_array_api_backend.wrapper:
  - 197
  - 189
  - 190
  scipy.conftest.skip_if_array_api_backend.wrapper.wrapped:
  - 193
  - 194
  - 195
  - 200
  - 201
  - 202
  scipy.conftest.skip_if_array_api_gpu:
  - 170
  - 158
  - 159
  scipy.conftest.skip_if_array_api_gpu.wrapped:
  - 162
  - 163
  - 164
  - 165
  - 166
  - 167
  - 168
  - 173
  - 174
  - 175
  - 176
  - 177
  - 178
  - 179
  scipy.constants:
  - 1
  - 331
  - 332
  - 334
  - 336
  - 337
  - 338
  - 343
  - 346
  scipy.constants._codata:
  - 1536
  - 1
  - 1542
  - 1543
  - 1548
  - 1549
  - 1550
  - 1551
  - 1552
  - 1553
  - 1554
  - 1555
  - 1556
  - 1711
  - 1712
  - 1713
  - 1723
  - 1725
  - 62
  - 1727
  - 1730
  - 1744
  - 1745
  - 1525
  - 1526
  - 1527
  - 1528
  - 1529
  - 1532
  - 1533
  - 1534
  - 1535
  scipy.constants._codata.ConstantWarning:
  - 1564
  scipy.constants._codata._check_obsolete:
  - 1569
  - 1570
  scipy.constants._codata.find:
  - 1696
  - 1697
  - 1700
  - 1702
  - 1703
  - 1704
  - 1705
  - 1650
  scipy.constants._codata.parse_constants_2002to2014:
  - 1505
  - 1506
  - 1507
  - 1508
  - 1509
  scipy.constants._codata.parse_constants_2018toXXXX:
  - 1516
  - 1517
  - 1518
  - 1519
  - 1520
  scipy.constants._codata.precision:
  - 1625
  - 1645
  scipy.constants._codata.unit:
  - 1600
  - 1620
  scipy.constants._codata.value:
  - 1595
  - 1575
  scipy.constants._constants:
  - 1
  - 141
  - 142
  - 143
  - 144
  - 18
  - 21
  - 177
  - 70
  - 109
  - 110
  - 111
  - 112
  - 114
  - 115
  - 116
  - 117
  - 118
  - 119
  - 120
  - 121
  - 122
  - 123
  scipy.constants._constants.convert_temperature:
  - 288
  - 290
  - 292
  - 233
  - 273
  - 274
  - 275
  - 276
  - 277
  - 278
  - 279
  - 280
  - 286
  scipy.constants._constants.lambda2nu:
  - 306
  - 332
  scipy.constants._constants.nu2lambda:
  - 336
  - 362
  scipy.constants.codata.__getattr__:
  - 22
  scipy.constants.constants.__getattr__:
  - 51
  scipy.datasets:
  - 89
  - 1
  scipy.datasets._download_all:
  - 16
  - 1
  - 56
  - 57
  scipy.datasets._download_all.download_all:
  - 35
  - 39
  - 40
  - 41
  - 42
  - 25
  scipy.datasets._download_all.main:
  - 48
  - 49
  - 50
  - 52
  - 53
  scipy.datasets._fetchers:
  - 10
  - 14
  scipy.datasets._fetchers.ascent:
  - 73
  - 74
  - 35
  - 71
  scipy.datasets._fetchers.electrocardiogram:
  - 169
  - 170
  - 171
  - 79
  scipy.datasets._fetchers.face:
  - 178
  - 211
  - 212
  - 213
  - 214
  - 215
  - 217
  - 218
  scipy.datasets._fetchers.fetch_data:
  - 26
  - 31
  scipy.datasets._utils._clear_cache:
  - 12
  - 15
  - 17
  - 22
  - 24
  - 25
  - 28
  - 29
  - 30
  - 32
  - 35
  - 36
  - 38
  - 45
  - 47
  - 48
  - 49
  - 50
  - 52
  - 54
  scipy.datasets._utils.clear_cache:
  - 81
  - 59
  scipy.fft:
  - 1
  - 110
  scipy.fft._backend:
  - 196
  scipy.fft._backend._ScipyBackend:
  - 8
  scipy.fft._backend._ScipyBackend.__ua_function__:
  - 21
  - 22
  - 23
  - 24
  - 25
  - 26
  - 28
  scipy.fft._backend._backend_from_arg:
  - 45
  - 37
  - 39
  scipy.fft._backend.register_backend:
  - 96
  - 131
  - 132
  scipy.fft._backend.set_backend:
  - 136
  - 163
  - 164
  scipy.fft._backend.set_global_backend:
  - 91
  - 52
  - 92
  scipy.fft._backend.skip_backend:
  - 168
  - 193
  - 192
  scipy.fft._basic._dispatch:
  - 17
  - 20
  scipy.fft._basic._x_replacer:
  - 9
  - 11
  - 6
  scipy.fft._basic.fft:
  - 26
  - 165
  scipy.fft._basic.fft2:
  - 924
  - 831
  scipy.fft._basic.fftn:
  - 721
  - 622
  scipy.fft._basic.hfft:
  - 472
  - 549
  scipy.fft._basic.hfft2:
  - 1488
  - 1446
  scipy.fft._basic.hfftn:
  - 1440
  - 1333
  scipy.fft._basic.ifft:
  - 171
  - 271
  scipy.fft._basic.ifft2:
  - 930
  - 1020
  scipy.fft._basic.ifftn:
  - 825
  - 727
  scipy.fft._basic.ihfft:
  - 616
  - 555
  scipy.fft._basic.ihfft2:
  - 1588
  - 1630
  scipy.fft._basic.ihfftn:
  - 1582
  - 1494
  scipy.fft._basic.irfft:
  - 466
  - 371
  scipy.fft._basic.irfft2:
  - 1283
  - 1327
  scipy.fft._basic.irfftn:
  - 1176
  - 1277
  scipy.fft._basic.rfft:
  - 365
  - 277
  scipy.fft._basic.rfft2:
  - 1170
  - 1126
  scipy.fft._basic.rfftn:
  - 1120
  - 1026
  scipy.fft._basic_backend._execute_1D:
  - 32
  - 33
  - 34
  - 36
  - 37
  - 38
  - 25
  - 27
  - 28
  - 31
  scipy.fft._basic_backend._execute_nD:
  - 42
  - 44
  - 45
  - 48
  - 49
  - 50
  - 51
  - 53
  - 54
  - 55
  scipy.fft._basic_backend._swap_direction:
  - 144
  - 140
  - 142
  scipy.fft._basic_backend._validate_fft_args:
  - 9
  - 11
  - 13
  scipy.fft._basic_backend.fft:
  - 60
  scipy.fft._basic_backend.fft2:
  - 109
  scipy.fft._basic_backend.fftn:
  - 96
  scipy.fft._basic_backend.hfft:
  - 84
  scipy.fft._basic_backend.hfft2:
  - 163
  scipy.fft._basic_backend.hfftn:
  - 152
  - 153
  - 154
  - 155
  - 156
  - 157
  scipy.fft._basic_backend.ifft:
  - 66
  scipy.fft._basic_backend.ifft2:
  - 114
  scipy.fft._basic_backend.ifftn:
  - 103
  scipy.fft._basic_backend.ihfft:
  - 90
  scipy.fft._basic_backend.ihfft2:
  - 176
  scipy.fft._basic_backend.ihfftn:
  - 168
  - 169
  - 170
  - 171
  scipy.fft._basic_backend.irfft:
  - 78
  scipy.fft._basic_backend.irfft2:
  - 136
  scipy.fft._basic_backend.irfftn:
  - 130
  scipy.fft._basic_backend.rfft:
  - 72
  scipy.fft._basic_backend.rfft2:
  - 125
  scipy.fft._basic_backend.rfftn:
  - 119
  scipy.fft._debug_backends.EchoBackend:
  - 17
  scipy.fft._debug_backends.EchoBackend.__ua_function__:
  - 22
  scipy.fft._debug_backends.NumPyBackend:
  - 4
  scipy.fft._debug_backends.NumPyBackend.__ua_function__:
  - 9
  - 11
  - 13
  scipy.fft._fftlog:
  - 1
  scipy.fft._fftlog.fht:
  - 18
  - 173
  scipy.fft._fftlog.ifht:
  - 178
  - 223
  scipy.fft._fftlog_backend:
  - 11
  scipy.fft._fftlog_backend._fhtq:
  - 193
  - 194
  - 195
  - 176
  - 180
  - 187
  - 188
  scipy.fft._fftlog_backend.fht:
  - 34
  - 36
  - 15
  - 21
  - 24
  - 25
  - 28
  - 31
  scipy.fft._fftlog_backend.fhtcoeff:
  - 96
  - 99
  - 69
  - 104
  - 105
  - 107
  - 77
  - 78
  - 79
  - 109
  - 110
  - 82
  - 112
  - 84
  - 90
  scipy.fft._fftlog_backend.fhtoffset:
  - 169
  - 170
  - 172
  - 119
  scipy.fft._fftlog_backend.ifht:
  - 42
  - 48
  - 51
  - 52
  - 55
  - 58
  - 61
  - 63
  scipy.fft._helper:
  - 72
  - 71
  scipy.fft._helper._init_nd_shape_and_axes:
  - 107
  - 108
  - 78
  scipy.fft._helper.fftfreq:
  - 112
  - 154
  - 155
  - 156
  - 158
  scipy.fft._helper.fftshift:
  - 261
  - 262
  - 263
  - 264
  - 265
  - 266
  - 219
  scipy.fft._helper.ifftshift:
  - 302
  - 270
  - 304
  - 305
  - 303
  - 306
  - 307
  scipy.fft._helper.next_fast_len:
  - 11
  scipy.fft._helper.rfftfreq:
  - 162
  - 211
  - 212
  - 213
  - 215
  scipy.fft._pocketfft:
  - 8
  - 1
  scipy.fft._pocketfft.basic:
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  - 1
  - 34
  - 66
  - 36
  - 98
  - 100
  - 248
  - 250
  - 180
  - 182
  - 152
  - 154
  - 221
  - 223
  scipy.fft._pocketfft.basic.c2c:
  - 13
  - 14
  - 17
  - 18
  - 19
  - 20
  - 22
  - 23
  - 25
  - 31
  scipy.fft._pocketfft.basic.c2cn:
  - 128
  - 131
  - 134
  - 136
  - 137
  - 138
  - 140
  - 143
  - 146
  - 149
  scipy.fft._pocketfft.basic.c2r:
  - 72
  - 75
  - 78
  - 79
  - 80
  - 83
  - 87
  - 89
  - 92
  - 95
  scipy.fft._pocketfft.basic.c2rn:
  - 192
  - 195
  - 199
  - 201
  - 204
  - 205
  - 208
  - 209
  - 215
  - 218
  - 188
  - 189
  scipy.fft._pocketfft.basic.hfft2:
  - 112
  - 106
  - 109
  scipy.fft._pocketfft.basic.ihfft2:
  - 120
  - 123
  - 117
  scipy.fft._pocketfft.basic.r2c:
  - 42
  - 45
  - 48
  - 49
  - 50
  - 52
  - 55
  - 56
  - 57
  - 61
  scipy.fft._pocketfft.basic.r2cn:
  - 160
  - 163
  - 165
  - 168
  - 169
  - 170
  - 171
  - 173
  - 177
  - 159
  scipy.fft._pocketfft.basic.r2r_fftpack:
  - 228
  - 229
  - 230
  - 231
  - 232
  - 234
  - 237
  - 238
  - 240
  - 245
  scipy.fft._pocketfft.helper:
  - 13
  - 14
  scipy.fft._pocketfft.helper._asfarray:
  - 96
  - 99
  - 82
  - 87
  - 88
  - 90
  - 91
  - 92
  - 93
  scipy.fft._pocketfft.helper._datacopied:
  - 106
  - 108
  - 102
  scipy.fft._pocketfft.helper._fix_shape:
  - 128
  - 131
  - 132
  - 135
  - 114
  - 118
  - 119
  - 120
  - 121
  - 123
  - 126
  scipy.fft._pocketfft.helper._fix_shape_1d:
  - 145
  - 141
  scipy.fft._pocketfft.helper._init_nd_shape_and_axes:
  - 65
  - 67
  - 68
  - 69
  - 70
  - 74
  - 43
  - 78
  - 47
  - 48
  - 51
  - 53
  - 56
  - 57
  - 59
  - 62
  - 63
  scipy.fft._pocketfft.helper._iterable_of_int:
  - 18
  - 34
  - 30
  scipy.fft._pocketfft.helper._normalization:
  - 152
  scipy.fft._pocketfft.helper._workers:
  - 163
  - 164
  - 166
  - 167
  - 172
  scipy.fft._pocketfft.helper.get_workers:
  - 217
  - 206
  scipy.fft._pocketfft.helper.set_workers:
  - 200
  - 180
  - 197
  - 198
  scipy.fft._pocketfft.realtransforms:
  - 101
  - 103
  - 106
  - 108
  - 48
  - 50
  - 53
  - 55
  scipy.fft._pocketfft.realtransforms._r2r:
  - 33
  - 39
  - 40
  - 41
  - 10
  - 42
  - 45
  - 19
  - 20
  - 21
  - 22
  - 24
  - 25
  - 27
  - 30
  - 31
  scipy.fft._pocketfft.realtransforms._r2rn:
  - 98
  - 70
  - 72
  - 73
  - 75
  - 78
  - 81
  - 82
  - 84
  - 93
  - 87
  - 88
  - 92
  - 61
  - 94
  - 95
  scipy.fft._realtransforms.dct:
  - 415
  - 271
  scipy.fft._realtransforms.dctn:
  - 11
  - 70
  scipy.fft._realtransforms.dst:
  - 501
  - 630
  scipy.fft._realtransforms.dstn:
  - 200
  - 141
  scipy.fft._realtransforms.idct:
  - 421
  - 495
  scipy.fft._realtransforms.idctn:
  - 76
  - 135
  scipy.fft._realtransforms.idst:
  - 636
  - 693
  scipy.fft._realtransforms.idstn:
  - 265
  - 206
  scipy.fft._realtransforms_backend._execute:
  - 10
  - 11
  - 12
  - 15
  scipy.fft._realtransforms_backend.dct:
  - 44
  scipy.fft._realtransforms_backend.dctn:
  - 20
  scipy.fft._realtransforms_backend.dst:
  - 56
  scipy.fft._realtransforms_backend.dstn:
  - 32
  scipy.fft._realtransforms_backend.idct:
  - 50
  scipy.fft._realtransforms_backend.idctn:
  - 26
  scipy.fft._realtransforms_backend.idst:
  - 62
  scipy.fft._realtransforms_backend.idstn:
  - 38
  scipy.fftpack:
  - 1
  - 102
  scipy.fftpack._basic:
  - 1
  scipy.fftpack._basic.fft:
  - 88
  - 13
  scipy.fftpack._basic.fft2:
  - 373
  - 397
  scipy.fftpack._basic.fftn:
  - 336
  - 337
  - 278
  scipy.fftpack._basic.ifft:
  - 144
  - 92
  scipy.fftpack._basic.ifft2:
  - 401
  - 428
  scipy.fftpack._basic.ifftn:
  - 368
  - 369
  - 341
  scipy.fftpack._basic.irfft:
  - 209
  - 274
  scipy.fftpack._basic.rfft:
  - 148
  - 205
  scipy.fftpack._helper._good_shape:
  - 112
  - 106
  - 110
  - 111
  scipy.fftpack._helper.next_fast_len:
  - 102
  - 55
  scipy.fftpack._helper.rfftfreq:
  - 51
  - 12
  - 46
  - 47
  scipy.fftpack._pseudo_diffs:
  - 1
  scipy.fftpack._pseudo_diffs.cc_diff:
  - 448
  - 480
  - 483
  - 484
  - 485
  - 486
  - 488
  - 492
  - 494
  - 495
  - 476
  - 477
  - 478
  - 479
  scipy.fftpack._pseudo_diffs.cc_diff.kernel:
  - 491
  scipy.fftpack._pseudo_diffs.cs_diff:
  - 324
  - 326
  - 327
  - 306
  - 307
  - 308
  - 309
  - 277
  - 310
  - 313
  - 314
  - 315
  - 316
  - 318
  scipy.fftpack._pseudo_diffs.cs_diff.kernel:
  - 321
  - 322
  scipy.fftpack._pseudo_diffs.diff:
  - 69
  - 72
  - 73
  - 49
  - 50
  - 52
  - 53
  - 21
  - 54
  - 58
  - 59
  - 60
  - 61
  - 63
  scipy.fftpack._pseudo_diffs.diff.kernel:
  - 66
  - 67
  scipy.fftpack._pseudo_diffs.hilbert:
  - 196
  - 234
  - 235
  - 236
  - 237
  - 238
  - 239
  - 240
  - 242
  - 250
  - 252
  - 253
  scipy.fftpack._pseudo_diffs.hilbert.kernel:
  - 245
  - 247
  scipy.fftpack._pseudo_diffs.ihilbert:
  - 260
  - 270
  scipy.fftpack._pseudo_diffs.itilbert:
  - 166
  - 167
  - 168
  - 169
  - 170
  - 186
  - 172
  - 173
  - 174
  - 175
  - 177
  - 183
  - 185
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  scipy.fftpack._pseudo_diffs.itilbert.kernel:
  - 180
  - 181
  scipy.fftpack._pseudo_diffs.sc_diff:
  - 362
  - 363
  - 364
  - 365
  - 366
  - 337
  - 369
  - 370
  - 371
  - 372
  - 374
  - 380
  - 382
  - 383
  scipy.fftpack._pseudo_diffs.sc_diff.kernel:
  - 377
  - 378
  scipy.fftpack._pseudo_diffs.shift:
  - 546
  - 547
  - 522
  - 523
  - 524
  - 525
  - 527
  - 528
  - 529
  - 530
  - 532
  - 505
  - 539
  - 541
  scipy.fftpack._pseudo_diffs.shift.kernel_imag:
  - 538
  scipy.fftpack._pseudo_diffs.shift.kernel_real:
  - 535
  scipy.fftpack._pseudo_diffs.ss_diff:
  - 417
  - 418
  - 419
  - 420
  - 421
  - 424
  - 393
  - 425
  - 426
  - 427
  - 429
  - 435
  - 437
  - 438
  scipy.fftpack._pseudo_diffs.ss_diff.kernel:
  - 432
  - 433
  - 434
  scipy.fftpack._pseudo_diffs.tilbert:
  - 128
  - 129
  - 130
  - 132
  - 140
  - 143
  - 144
  - 84
  - 119
  - 120
  - 121
  - 122
  - 124
  - 127
  scipy.fftpack._pseudo_diffs.tilbert.kernel:
  - 136
  - 135
  scipy.fftpack._realtransforms:
  - 1
  scipy.fftpack._realtransforms.dct:
  - 380
  - 236
  scipy.fftpack._realtransforms.dctn:
  - 64
  - 65
  - 14
  scipy.fftpack._realtransforms.dst:
  - 552
  - 444
  scipy.fftpack._realtransforms.dstn:
  - 176
  - 125
  - 175
  scipy.fftpack._realtransforms.idct:
  - 384
  - 440
  scipy.fftpack._realtransforms.idctn:
  - 120
  - 121
  - 69
  scipy.fftpack._realtransforms.idst:
  - 556
  - 598
  scipy.fftpack._realtransforms.idstn:
  - 232
  - 180
  - 231
  scipy.fftpack.basic.__getattr__:
  - 18
  scipy.fftpack.helper.__getattr__:
  - 17
  scipy.fftpack.pseudo_diffs.__getattr__:
  - 20
  scipy.fftpack.realtransforms.__getattr__:
  - 17
  scipy.integrate:
  - 1
  - 106
  - 109
  scipy.integrate._bvp:
  - 1
  - 12
  scipy.integrate._bvp.collocation_fun:
  - 307
  - 277
  - 310
  scipy.integrate._bvp.compute_jac_indices:
  - 129
  - 130
  - 132
  - 133
  - 135
  - 136
  - 118
  - 122
  - 123
  - 124
  - 126
  - 127
  scipy.integrate._bvp.construct_global_jac:
  - 160
  - 256
  - 258
  - 261
  - 262
  - 264
  - 265
  - 266
  - 267
  - 270
  - 240
  - 241
  - 272
  - 273
  - 248
  - 249
  - 251
  - 255
  scipy.integrate._bvp.create_spline:
  - 578
  - 597
  - 590
  - 599
  scipy.integrate._bvp.estimate_bc_jac:
  - 59
  - 76
  - 77
  - 81
  - 82
  - 83
  - 84
  - 87
  - 91
  - 92
  - 93
  - 94
  - 97
  - 101
  - 104
  - 105
  - 106
  - 107
  - 110
  scipy.integrate._bvp.estimate_fun_jac:
  - 33
  - 34
  - 35
  - 36
  - 39
  - 43
  - 46
  - 47
  - 16
  - 48
  - 49
  - 52
  - 28
  - 29
  scipy.integrate._bvp.estimate_rms_residuals:
  - 557
  - 558
  - 559
  - 560
  - 527
  - 561
  - 562
  - 566
  - 567
  - 568
  - 570
  - 571
  - 572
  scipy.integrate._bvp.modify_mesh:
  - 603
  - 629
  scipy.integrate._bvp.prepare_sys:
  - 320
  - 318
  scipy.integrate._bvp.prepare_sys.col_fun:
  - 323
  scipy.integrate._bvp.prepare_sys.sys_jac:
  - 326
  - 327
  - 328
  - 331
  - 332
  - 334
  - 335
  - 338
  - 340
  scipy.integrate._bvp.print_iteration_header:
  - 503
  scipy.integrate._bvp.print_iteration_progress:
  - 510
  scipy.integrate._bvp.solve_bvp:
  - 1024
  - 1153
  - 1027
  - 1028
  - 1031
  - 1037
  - 1038
  - 1039
  - 1044
  - 1046
  - 1049
  - 1054
  - 1060
  - 1063
  - 1064
  - 1068
  - 1069
  - 1075
  - 1076
  - 1081
  - 1083
  - 1087
  - 1089
  - 1090
  - 1094
  - 1095
  - 712
  - 1097
  - 1099
  - 1103
  - 1104
  - 1107
  - 1109
  - 1111
  - 1115
  - 1116
  - 1119
  - 1120
  - 1121
  - 1122
  - 1123
  - 1126
  - 999
  - 1000
  - 1002
  - 1003
  - 1130
  - 1131
  - 1132
  - 1007
  - 1008
  - 1135
  - 1136
  - 1139
  - 1012
  - 1140
  - 1014
  - 1144
  - 1016
  - 1145
  - 1020
  - 1021
  - 1150
  - 1023
  scipy.integrate._bvp.solve_newton:
  - 438
  - 439
  - 440
  - 445
  - 446
  - 447
  - 450
  - 455
  - 456
  - 458
  - 462
  - 464
  - 465
  - 468
  - 469
  - 470
  - 472
  - 473
  - 474
  - 348
  - 477
  - 483
  - 486
  - 487
  - 492
  scipy.integrate._bvp.stacked_matmul:
  - 144
  - 149
  - 150
  - 151
  - 152
  - 155
  scipy.integrate._bvp.wrap_functions:
  - 673
  - 642
  - 645
  - 679
  - 652
  - 656
  - 691
  - 692
  - 668
  - 638
  - 639
  scipy.integrate._bvp.wrap_functions.bc_jac_wrapped:
  - 675
  - 676
  - 677
  - 658
  - 659
  - 660
  scipy.integrate._bvp.wrap_functions.bc_wrapped:
  - 650
  - 666
  scipy.integrate._bvp.wrap_functions.fun_jac_p:
  - 670
  - 654
  - 671
  scipy.integrate._bvp.wrap_functions.fun_jac_wrapped:
  - 698
  - 699
  - 700
  scipy.integrate._bvp.wrap_functions.fun_p:
  - 663
  - 647
  scipy.integrate._bvp.wrap_functions.fun_wrapped:
  - 683
  - 684
  - 685
  - 686
  - 688
  scipy.integrate._ivp:
  - 1
  scipy.integrate._ivp.base.ConstantDenseOutput:
  - 275
  scipy.integrate._ivp.base.ConstantDenseOutput.__init__:
  - 281
  scipy.integrate._ivp.base.ConstantDenseOutput._call_impl:
  - 288
  - 285
  scipy.integrate._ivp.base.DenseOutput:
  - 234
  scipy.integrate._ivp.base.DenseOutput.__call__:
  - 265
  - 266
  - 252
  - 268
  scipy.integrate._ivp.base.DenseOutput.__init__:
  - 248
  - 249
  scipy.integrate._ivp.base.OdeSolver:
  - 29
  scipy.integrate._ivp.base.OdeSolver.__init__:
  - 160
  - 139
  - 135
  scipy.integrate._ivp.base.OdeSolver.__init__.fun:
  - 154
  scipy.integrate._ivp.base.OdeSolver.__init__.fun_single:
  - 141
  scipy.integrate._ivp.base.OdeSolver.__init__.fun_vectorized:
  - 147
  - 148
  - 149
  scipy.integrate._ivp.base.OdeSolver.dense_output:
  - 224
  - 209
  - 216
  - 220
  - 222
  scipy.integrate._ivp.base.OdeSolver.step:
  - 197
  - 199
  - 203
  - 176
  - 185
  - 189
  scipy.integrate._ivp.base.OdeSolver.step_size:
  - 170
  - 173
  scipy.integrate._ivp.base.check_arguments:
  - 5
  - 6
  - 7
  - 8
  - 14
  - 16
  - 19
  scipy.integrate._ivp.base.check_arguments.fun_wrapped:
  - 23
  scipy.integrate._ivp.bdf.BDF:
  - 73
  scipy.integrate._ivp.bdf.BDF.__init__:
  - 227
  - 200
  - 201
  - 247
  - 203
  - 204
  - 205
  - 206
  - 207
  - 236
  - 242
  - 211
  - 243
  - 245
  - 215
  - 218
  - 219
  scipy.integrate._ivp.bdf.BDF.__init__.lu:
  - 222
  - 231
  scipy.integrate._ivp.bdf.BDF.__init__.solve_lu:
  - 225
  - 234
  scipy.integrate._ivp.bdf.BDF._dense_output_impl:
  - 453
  - 454
  scipy.integrate._ivp.bdf.BDF._step_impl:
  - 388
  - 390
  - 392
  - 393
  - 396
  - 418
  - 421
  - 424
  - 426
  - 430
  - 432
  - 436
  - 437
  - 438
  - 440
  - 314
  - 315
  - 444
  - 317
  - 446
  - 319
  - 321
  - 340
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  - 353
  - 355
  - 357
  - 358
  - 363
  - 364
  - 366
  - 370
  - 371
  - 373
  - 377
  - 380
  scipy.integrate._ivp.bdf.BDF._validate_jac:
  - 291
  - 260
  - 261
  - 262
  - 263
  - 264
  - 296
  - 297
  - 299
  - 301
  - 274
  - 275
  - 276
  - 278
  - 279
  - 285
  scipy.integrate._ivp.bdf.BDF._validate_jac.jac_wrapped:
  - 289
  - 283
  - 269
  - 270
  scipy.integrate._ivp.bdf.BdfDenseOutput.__init__:
  - 459
  - 461
  - 462
  scipy.integrate._ivp.bdf.BdfDenseOutput._call_impl:
  - 466
  - 468
  - 471
  - 473
  - 474
  scipy.integrate._ivp.bdf.change_D:
  - 32
  - 33
  - 29
  - 30
  - 31
  scipy.integrate._ivp.bdf.compute_R:
  - 19
  - 20
  - 21
  - 22
  - 25
  scipy.integrate._ivp.bdf.solve_bdf_system:
  - 37
  - 39
  - 42
  - 43
  - 44
  - 47
  - 48
  - 50
  - 55
  - 62
  scipy.integrate._ivp.common:
  - 7
  scipy.integrate._ivp.common.OdeSolution:
  - 127
  scipy.integrate._ivp.common.OdeSolution.__call__:
  - 224
  - 228
  - 232
  - 204
  - 237
  - 238
  - 239
  - 240
  - 243
  - 217
  - 219
  - 220
  - 222
  - 223
  scipy.integrate._ivp.common.OdeSolution.__init__:
  - 164
  - 165
  - 167
  - 168
  - 171
  - 172
  - 178
  scipy.integrate._ivp.common.OdeSolution._call_single:
  - 201
  - 195
  - 197
  - 198
  scipy.integrate._ivp.common._dense_num_jac:
  - 352
  - 353
  - 356
  - 357
  - 334
  - 335
  - 337
  - 338
  - 339
  - 340
  - 369
  - 343
  - 344
  - 348
  - 350
  - 351
  scipy.integrate._ivp.common._sparse_num_jac:
  - 386
  - 387
  - 388
  - 389
  - 390
  - 391
  - 392
  - 395
  - 396
  - 399
  - 402
  - 403
  - 404
  - 405
  - 406
  - 411
  - 413
  - 414
  - 417
  - 418
  - 419
  - 420
  - 421
  - 422
  - 425
  - 426
  - 434
  - 438
  - 376
  - 377
  - 378
  - 379
  - 383
  scipy.integrate._ivp.common.norm:
  - 64
  - 65
  scipy.integrate._ivp.common.num_jac:
  - 258
  - 324
  - 325
  - 328
  - 300
  - 302
  - 303
  - 305
  - 306
  - 308
  - 313
  - 314
  - 319
  scipy.integrate._ivp.common.select_initial_step:
  - 69
  - 103
  - 106
  - 107
  - 108
  - 109
  - 115
  - 116
  - 118
  - 119
  - 121
  - 123
  scipy.integrate._ivp.common.validate_first_step:
  - 11
  - 12
  - 14
  scipy.integrate._ivp.common.validate_max_step:
  - 20
  - 21
  scipy.integrate._ivp.common.validate_tol:
  - 45
  - 47
  - 48
  - 51
  - 53
  - 54
  - 57
  scipy.integrate._ivp.common.warn_extraneous:
  - 40
  - 27
  - 38
  - 39
  scipy.integrate._ivp.dop853_coefficients:
  - 131
  - 7
  - 142
  - 24
  - 125
  - 126
  scipy.integrate._ivp.ivp.find_active_events:
  - 145
  - 153
  - 131
  scipy.integrate._ivp.ivp.handle_events:
  - 108
  - 111
  - 113
  - 82
  - 114
  - 115
  - 117
  - 120
  scipy.integrate._ivp.ivp.prepare_events:
  - 33
  - 34
  - 35
  - 36
  - 29
  - 30
  scipy.integrate._ivp.ivp.solve_event_equation:
  - 77
  - 54
  scipy.integrate._ivp.ivp.solve_event_equation.<lambda1>:
  - 77
  scipy.integrate._ivp.ivp.solve_ivp:
  - 641
  - 642
  - 643
  - 650
  - 652
  - 654
  - 662
  - 663
  - 664
  - 668
  - 669
  - 158
  - 670
  - 671
  - 672
  - 673
  - 675
  - 678
  - 679
  - 680
  - 682
  - 685
  - 689
  - 690
  - 691
  - 694
  - 695
  - 568
  - 569
  - 698
  - 572
  - 574
  - 704
  - 705
  - 706
  - 707
  - 708
  - 711
  - 712
  - 714
  - 716
  - 589
  - 590
  - 591
  - 717
  - 593
  - 594
  - 595
  - 718
  - 720
  - 598
  - 721
  - 722
  - 601
  - 602
  - 723
  - 724
  - 605
  - 725
  - 727
  - 728
  - 729
  - 733
  - 739
  - 613
  - 616
  - 618
  - 621
  - 631
  - 633
  - 634
  - 639
  scipy.integrate._ivp.ivp.solve_ivp.<lambda1>:
  - 591
  scipy.integrate._ivp.ivp.solve_ivp.<lambda2>:
  - 639
  scipy.integrate._ivp.ivp.solve_ivp.fun:
  - 588
  scipy.integrate._ivp.lsoda.LSODA:
  - 8
  scipy.integrate._ivp.lsoda.LSODA.__init__:
  - 131
  - 133
  - 136
  - 139
  - 141
  - 142
  - 145
  - 121
  - 122
  - 124
  - 127
  scipy.integrate._ivp.lsoda.LSODA._dense_output_impl:
  - 200
  - 198
  - 208
  scipy.integrate._ivp.lsoda.LSODA._step_impl:
  - 161
  - 162
  - 166
  scipy.integrate._ivp.lsoda.LsodaDenseOutput.__init__:
  - 216
  - 213
  scipy.integrate._ivp.lsoda.LsodaDenseOutput._call_impl:
  - 224
  - 219
  scipy.integrate._ivp.radau:
  - 37
  - 14
  - 15
  - 24
  - 28
  scipy.integrate._ivp.radau.Radau:
  - 180
  scipy.integrate._ivp.radau.Radau.__init__:
  - 320
  - 328
  - 298
  - 299
  - 301
  - 302
  - 303
  - 337
  - 306
  - 307
  - 311
  - 315
  - 319
  scipy.integrate._ivp.radau.Radau.__init__.lu:
  - 323
  - 332
  scipy.integrate._ivp.radau.Radau.__init__.solve_lu:
  - 326
  - 335
  scipy.integrate._ivp.radau.Radau._compute_dense_output:
  - 544
  - 545
  scipy.integrate._ivp.radau.Radau._step_impl:
  - 513
  - 514
  - 515
  - 517
  - 410
  - 411
  - 539
  - 415
  - 435
  - 441
  - 445
  - 447
  - 448
  - 450
  - 452
  - 456
  - 457
  - 458
  - 460
  - 464
  - 465
  - 468
  - 473
  - 480
  - 481
  - 482
  - 483
  - 487
  - 488
  - 489
  - 491
  - 492
  - 494
  - 504
  - 505
  - 507
  scipy.integrate._ivp.radau.Radau._validate_jac:
  - 352
  - 353
  - 354
  - 355
  - 356
  - 388
  - 389
  - 391
  - 393
  - 365
  - 366
  - 367
  - 369
  - 370
  - 377
  - 383
  scipy.integrate._ivp.radau.Radau._validate_jac.jac_wrapped:
  - 361
  - 381
  - 374
  scipy.integrate._ivp.radau.RadauDenseOutput.__init__:
  - 553
  scipy.integrate._ivp.radau.RadauDenseOutput._call_impl:
  - 561
  - 562
  - 563
  - 565
  - 566
  - 568
  - 569
  scipy.integrate._ivp.radau.predict_factor:
  - 168
  - 140
  - 173
  - 174
  scipy.integrate._ivp.radau.solve_collocation_system:
  - 129
  - 98
  - 101
  - 102
  - 103
  - 105
  - 108
  - 109
  - 111
  - 112
  - 50
  - 118
  - 119
  - 122
  - 91
  - 94
  - 127
  scipy.integrate._ivp.rk.DOP853:
  - 408
  scipy.integrate._ivp.rk.DOP853.__init__:
  - 505
  - 507
  scipy.integrate._ivp.rk.DOP853._dense_output_impl:
  - 547
  - 549
  - 533
  - 535
  - 536
  - 538
  scipy.integrate._ivp.rk.DOP853._estimate_error:
  - 512
  - 513
  - 514
  - 515
  - 517
  scipy.integrate._ivp.rk.DOP853._estimate_error_norm:
  - 521
  - 522
  - 523
  - 524
  - 525
  - 528
  scipy.integrate._ivp.rk.Dop853DenseOutput.__init__:
  - 579
  scipy.integrate._ivp.rk.Dop853DenseOutput._call_impl:
  - 587
  - 588
  - 591
  - 593
  - 595
  scipy.integrate._ivp.rk.RK23:
  - 280
  - 279
  - 184
  - 285
  - 286
  - 287
  scipy.integrate._ivp.rk.RK45:
  - 389
  - 390
  - 294
  - 393
  - 380
  - 381
  scipy.integrate._ivp.rk.RkDenseOutput.__init__:
  - 554
  scipy.integrate._ivp.rk.RkDenseOutput._call_impl:
  - 562
  - 563
  - 564
  - 566
  - 567
  - 568
  - 569
  scipy.integrate._ivp.rk.RungeKutta:
  - 75
  scipy.integrate._ivp.rk.RungeKutta.__init__:
  - 96
  - 100
  - 101
  - 88
  - 89
  - 92
  - 93
  - 94
  - 95
  scipy.integrate._ivp.rk.RungeKutta._dense_output_impl:
  - 179
  - 180
  scipy.integrate._ivp.rk.RungeKutta._estimate_error:
  - 106
  scipy.integrate._ivp.rk.RungeKutta._estimate_error_norm:
  - 109
  scipy.integrate._ivp.rk.RungeKutta._step_impl:
  - 153
  - 163
  - 132
  - 138
  - 142
  - 144
  - 146
  - 147
  - 149
  - 150
  - 119
  - 121
  - 123
  - 156
  - 157
  scipy.integrate._ivp.rk.rk_step:
  - 64
  - 66
  - 67
  - 15
  - 62
  - 63
  scipy.integrate._ode:
  - 1376
  - 2
  - 1036
  - 1037
  - 1196
  - 1197
  - 1108
  - 1109
  - 1237
  - 1238
  - 1375
  scipy.integrate._ode.IntegratorBase.check_handle:
  - 793
  scipy.integrate._ode.IntegratorBase.reset:
  - 797
  scipy.integrate._ode.IntegratorBase.run:
  - 803
  scipy.integrate._ode.IntegratorBase.run_relax:
  - 816
  scipy.integrate._ode.IntegratorBase.step:
  - 811
  scipy.integrate._ode.IntegratorConcurrencyError:
  - 761
  scipy.integrate._ode.IntegratorConcurrencyError.__init__:
  - 772
  scipy.integrate._ode._transform_banded_jac:
  - 587
  - 575
  scipy.integrate._ode._vode_banded_jac_wrapper:
  - 824
  scipy.integrate._ode._vode_banded_jac_wrapper.jac_wrapper:
  - 830
  - 831
  scipy.integrate._ode.complex_ode:
  - 594
  scipy.integrate._ode.complex_ode.__init__:
  - 625
  - 626
  - 628
  scipy.integrate._ode.complex_ode._wrap:
  - 634
  - 635
  - 631
  scipy.integrate._ode.complex_ode._wrap_jac:
  - 640
  - 646
  - 647
  - 648
  - 651
  - 652
  - 653
  - 657
  scipy.integrate._ode.complex_ode.integrate:
  - 700
  - 725
  scipy.integrate._ode.complex_ode.set_initial_value:
  - 692
  - 693
  - 694
  - 695
  - 696
  - 697
  scipy.integrate._ode.complex_ode.set_integrator:
  - 676
  - 679
  - 680
  - 681
  - 689
  - 666
  scipy.integrate._ode.complex_ode.set_solout:
  - 729
  - 742
  - 743
  scipy.integrate._ode.dop853:
  - 1201
  scipy.integrate._ode.dop853.__init__:
  - 1216
  scipy.integrate._ode.dop853.reset:
  - 1228
  - 1220
  scipy.integrate._ode.dopri5:
  - 1113
  scipy.integrate._ode.dopri5.__init__:
  - 1148
  scipy.integrate._ode.dopri5._solout:
  - 1188
  - 1189
  - 1191
  scipy.integrate._ode.dopri5.reset:
  - 1167
  - 1159
  scipy.integrate._ode.dopri5.run:
  - 1176
  - 1177
  - 1179
  - 1181
  - 1182
  scipy.integrate._ode.dopri5.set_solout:
  - 1153
  scipy.integrate._ode.find_integrator:
  - 754
  - 755
  scipy.integrate._ode.lsoda:
  - 1242
  scipy.integrate._ode.lsoda.reset:
  - 1312
  - 1316
  - 1318
  - 1291
  - 1292
  - 1323
  - 1324
  - 1295
  - 1326
  - 1297
  - 1301
  - 1304
  - 1306
  - 1310
  scipy.integrate._ode.lsoda.run:
  - 1344
  - 1347
  - 1349
  - 1351
  - 1352
  - 1340
  - 1341
  scipy.integrate._ode.lsoda.run_relax:
  - 1370
  scipy.integrate._ode.lsoda.step:
  - 1363
  scipy.integrate._ode.ode:
  - 104
  scipy.integrate._ode.ode.get_return_code:
  - 536
  - 538
  - 451
  scipy.integrate._ode.ode.integrate:
  - 425
  - 431
  - 398
  - 423
  scipy.integrate._ode.ode.set_f_params:
  - 542
  scipy.integrate._ode.ode.set_initial_value:
  - 361
  - 362
  - 364
  - 365
  - 366
  - 367
  - 369
  scipy.integrate._ode.ode.set_integrator:
  - 384
  - 388
  - 390
  - 391
  - 393
  - 394
  - 373
  - 383
  scipy.integrate._ode.ode.set_jac_params:
  - 547
  scipy.integrate._ode.ode.set_solout:
  - 552
  - 565
  - 566
  - 567
  - 568
  scipy.integrate._ode.ode.successful:
  - 443
  - 445
  - 447
  scipy.integrate._ode.vode:
  - 838
  scipy.integrate._ode.vode.__init__:
  - 865
  - 867
  scipy.integrate._ode.vode._determine_mf_and_set_bands:
  - 929
  - 930
  - 937
  - 887
  - 916
  - 917
  - 919
  - 923
  - 924
  scipy.integrate._ode.vode.reset:
  - 960
  - 962
  - 967
  - 972
  - 946
  - 978
  - 948
  - 979
  - 950
  - 981
  - 952
  - 954
  - 956
  - 958
  scipy.integrate._ode.vode.run:
  - 994
  - 995
  - 998
  - 1000
  - 1004
  - 1006
  - 1008
  - 1010
  - 1012
  - 1013
  scipy.integrate._ode.vode.run_relax:
  - 1031
  scipy.integrate._ode.vode.step:
  - 1024
  scipy.integrate._ode.zvode:
  - 1041
  scipy.integrate._ode.zvode.reset:
  - 1049
  - 1051
  - 1053
  - 1055
  - 1057
  - 1059
  - 1061
  - 1063
  - 1065
  - 1067
  - 1069
  - 1071
  - 1073
  - 1078
  - 1083
  - 1086
  - 1092
  - 1093
  - 1095
  scipy.integrate._odepack_py.ODEintWarning:
  - 12
  scipy.integrate._odepack_py.odeint:
  - 33
  - 259
  - 230
  - 232
  - 235
  - 236
  - 241
  - 242
  - 243
  - 246
  - 247
  - 250
  - 251
  - 253
  - 255
  scipy.integrate._quad_vec.DoubleInfiniteFunc:
  - 58
  scipy.integrate._quad_vec.DoubleInfiniteFunc.__call__:
  - 72
  - 75
  - 76
  scipy.integrate._quad_vec.DoubleInfiniteFunc.get_t:
  - 69
  scipy.integrate._quad_vec.LRUDict.__setitem__:
  - 18
  - 19
  - 20
  - 21
  - 22
  scipy.integrate._quad_vec.SemiInfiniteFunc:
  - 30
  scipy.integrate._quad_vec.SemiInfiniteFunc.__call__:
  - 49
  - 53
  scipy.integrate._quad_vec.SemiInfiniteFunc.get_t:
  - 43
  scipy.integrate._quad_vec._Bunch.__init__:
  - 96
  - 97
  scipy.integrate._quad_vec._Bunch.__repr__:
  - 100
  scipy.integrate._quad_vec._get_sizeof:
  - 89
  - 90
  - 86
  scipy.integrate._quad_vec._max_norm:
  - 81
  scipy.integrate._quad_vec._quadrature_gk:
  - 513
  - 519
  - 488
  - 521
  - 492
  - 524
  - 525
  - 526
  - 527
  - 530
  - 500
  - 501
  - 532
  - 533
  - 509
  scipy.integrate._quad_vec._quadrature_gk15:
  - 653
  - 607
  scipy.integrate._quad_vec._quadrature_gk21:
  - 600
  - 539
  scipy.integrate._quad_vec._quadrature_trapezoid:
  - 464
  - 468
  - 469
  - 470
  - 474
  - 475
  - 476
  - 479
  scipy.integrate._quad_vec._subdivide_interval:
  - 448
  - 449
  - 452
  - 453
  - 441
  - 442
  - 444
  - 446
  scipy.integrate._quad_vec.quad_vec:
  - 256
  - 386
  - 261
  - 262
  - 263
  - 392
  - 267
  - 268
  - 395
  - 270
  - 398
  - 399
  - 273
  - 400
  - 403
  - 407
  - 281
  - 414
  - 415
  - 416
  - 417
  - 419
  - 420
  - 422
  - 299
  - 304
  - 305
  - 306
  - 308
  - 310
  - 319
  - 320
  - 323
  - 324
  - 326
  - 330
  - 331
  - 333
  - 334
  - 340
  - 341
  - 343
  - 380
  - 224
  - 225
  - 227
  - 228
  - 376
  - 358
  - 232
  - 361
  - 107
  - 236
  - 363
  - 368
  - 369
  - 379
  - 372
  - 245
  - 246
  - 247
  - 248
  - 249
  - 250
  - 251
  - 252
  - 253
  - 254
  scipy.integrate._quadpack_py.IntegrationWarning:
  - 16
  scipy.integrate._quadpack_py._NQuad.__init__:
  - 1249
  - 1251
  scipy.integrate._quadpack_py._NQuad.integrate:
  - 1281
  - 1283
  - 1284
  - 1255
  - 1256
  - 1288
  - 1262
  - 1264
  - 1266
  - 1268
  - 1271
  - 1272
  - 1276
  scipy.integrate._quadpack_py._OptFunc.__call__:
  - 1239
  scipy.integrate._quadpack_py._RangeFunc.__call__:
  - 1226
  scipy.integrate._quadpack_py._quad:
  - 609
  - 610
  - 611
  - 613
  - 616
  - 620
  - 623
  - 624
  - 595
  - 597
  - 600
  - 603
  scipy.integrate._quadpack_py._quad_weight:
  - 674
  - 644
  - 676
  - 679
  - 648
  - 649
  - 651
  - 652
  - 670
  - 630
  - 665
  - 635
  - 637
  - 638
  - 639
  scipy.integrate._quadpack_py._quad_weight.thefunc:
  - 657
  - 663
  scipy.integrate._quadpack_py.dblquad:
  - 684
  - 814
  scipy.integrate._quadpack_py.dblquad.temp_ranges:
  - 811
  - 812
  scipy.integrate._quadpack_py.nquad:
  - 1217
  - 1218
  - 969
  - 1207
  - 1208
  - 1209
  - 1211
  - 1212
  - 1214
  - 1215
  scipy.integrate._quadpack_py.quad:
  - 25
  - 542
  - 543
  - 544
  - 549
  - 552
  - 553
  - 554
  - 557
  - 433
  - 561
  - 562
  - 437
  - 566
  - 439
  - 569
  - 570
  - 446
  - 574
  - 449
  - 577
  - 580
  - 581
  - 455
  - 583
  - 586
  - 463
  - 464
  - 467
  - 470
  - 471
  - 474
  - 478
  - 505
  scipy.integrate._quadpack_py.quad.imfunc:
  - 441
  scipy.integrate._quadpack_py.quad.refunc:
  - 444
  scipy.integrate._quadpack_py.tplquad:
  - 964
  - 820
  scipy.integrate._quadpack_py.tplquad.ranges0:
  - 956
  - 957
  scipy.integrate._quadpack_py.tplquad.ranges1:
  - 960
  - 961
  scipy.integrate._quadrature:
  - 198
  - 170
  - 591
  - 1649
  - 1275
  - 317
  scipy.integrate._quadrature._basic_simpson:
  - 540
  - 541
  - 544
  - 545
  - 546
  - 547
  - 549
  - 550
  - 555
  - 556
  - 557
  - 558
  - 559
  - 562
  - 564
  - 565
  - 568
  - 569
  - 572
  scipy.integrate._quadrature._cached_roots_legendre:
  - 194
  - 187
  - 191
  scipy.integrate._quadrature._cumulative_simpson_equal_intervals:
  - 866
  scipy.integrate._quadrature._cumulative_simpson_unequal_intervals:
  - 880
  scipy.integrate._quadrature._cumulatively_sum_simpson_integrals:
  - 845
  - 850
  - 851
  - 853
  - 855
  - 861
  scipy.integrate._quadrature._difftrap:
  - 1224
  - 1236
  - 1238
  - 1239
  - 1242
  - 1244
  - 1245
  scipy.integrate._quadrature._ensure_float_array:
  - 904
  - 905
  - 906
  scipy.integrate._quadrature._printresmat:
  - 1261
  - 1262
  - 1263
  - 1264
  - 1265
  - 1266
  - 1267
  - 1268
  - 1269
  - 1270
  - 1271
  - 1272
  scipy.integrate._quadrature._qmc_quad_iv:
  - 1578
  - 1584
  - 1589
  - 1590
  - 1591
  - 1595
  - 1604
  - 1612
  - 1617
  - 1618
  - 1622
  - 1623
  - 1627
  - 1628
  - 1629
  - 1633
  - 1639
  - 1640
  - 1642
  scipy.integrate._quadrature._qmc_quad_iv.vfunc:
  - 1615
  scipy.integrate._quadrature._romberg_diff:
  - 1250
  scipy.integrate._quadrature.cache_decorator:
  - 182
  scipy.integrate._quadrature.cumtrapz:
  - 428
  - 420
  - 429
  scipy.integrate._quadrature.cumulative_simpson:
  - 1033
  - 1039
  - 911
  - 1043
  - 1044
  - 1045
  - 1047
  - 1048
  - 1051
  - 1052
  - 1055
  - 1056
  - 1057
  - 1059
  - 1064
  - 1065
  - 1066
  - 1069
  - 1071
  - 1072
  - 1073
  - 1077
  - 1078
  - 1079
  - 1082
  - 1084
  - 1085
  - 1088
  - 1090
  scipy.integrate._quadrature.cumulative_trapezoid:
  - 515
  - 516
  - 517
  - 518
  - 520
  - 521
  - 522
  - 528
  - 531
  - 533
  - 433
  - 492
  - 493
  - 495
  - 498
  - 499
  - 500
  - 504
  - 505
  - 509
  - 511
  scipy.integrate._quadrature.fixed_quad:
  - 263
  - 264
  - 265
  - 202
  - 269
  scipy.integrate._quadrature.newton_cotes:
  - 1539
  - 1542
  - 1544
  - 1545
  - 1547
  - 1550
  - 1552
  - 1554
  - 1556
  - 1557
  - 1559
  - 1561
  - 1568
  - 1570
  - 1571
  - 1467
  - 1532
  - 1533
  - 1534
  - 1535
  scipy.integrate._quadrature.qmc_quad:
  - 1825
  - 1762
  - 1827
  - 1828
  - 1830
  - 1799
  - 1802
  - 1803
  - 1806
  - 1809
  - 1812
  - 1813
  - 1654
  - 1814
  - 1816
  - 1820
  - 1821
  - 1822
  scipy.integrate._quadrature.qmc_quad.mean:
  - 1772
  - 1773
  - 1775
  scipy.integrate._quadrature.qmc_quad.sem:
  - 1792
  - 1794
  - 1789
  - 1790
  - 1791
  scipy.integrate._quadrature.qmc_quad.std:
  - 1778
  - 1779
  - 1780
  - 1781
  - 1782
  - 1783
  - 1784
  - 1786
  scipy.integrate._quadrature.qmc_quad.sum_product:
  - 1769
  - 1766
  - 1767
  scipy.integrate._quadrature.quadrature:
  - 322
  - 390
  - 392
  - 395
  - 396
  - 397
  - 398
  - 401
  scipy.integrate._quadrature.romb:
  - 1155
  - 1156
  - 1164
  - 1169
  - 1170
  - 1171
  - 1172
  - 1176
  - 1178
  - 1180
  - 1181
  - 1186
  - 1187
  - 1188
  - 1202
  - 1203
  - 1204
  - 1205
  - 1206
  - 1207
  - 1095
  scipy.integrate._quadrature.romberg:
  - 1280
  - 1380
  - 1400
  - 1382
  - 1384
  - 1385
  - 1388
  - 1389
  - 1390
  - 1391
  - 1399
  - 1368
  - 1371
  - 1375
  scipy.integrate._quadrature.simps:
  - 586
  - 579
  - 588
  scipy.integrate._quadrature.simpson:
  - 768
  - 769
  - 783
  - 786
  - 792
  - 795
  - 801
  - 804
  - 814
  - 815
  - 816
  - 817
  - 820
  - 822
  - 823
  - 696
  - 697
  - 824
  - 825
  - 826
  - 828
  - 702
  - 703
  - 704
  - 829
  - 834
  - 835
  - 836
  - 709
  - 710
  - 713
  - 718
  - 719
  - 593
  - 725
  - 728
  - 733
  - 739
  - 743
  - 744
  - 745
  - 753
  - 755
  - 757
  - 758
  - 759
  - 761
  - 762
  - 764
  - 765
  - 767
  scipy.integrate._quadrature.trapezoid:
  - 128
  - 129
  - 130
  - 134
  - 136
  - 138
  - 139
  - 140
  - 141
  - 143
  - 146
  - 147
  - 148
  - 23
  - 124
  - 125
  scipy.integrate._quadrature.trapz:
  - 162
  - 155
  - 163
  scipy.integrate._quadrature.tupleset:
  - 412
  - 414
  scipy.integrate._quadrature.vectorize1:
  - 273
  - 297
  scipy.integrate._quadrature.vectorize1.vfunc:
  - 299
  - 302
  - 303
  - 304
  - 306
  - 307
  - 308
  - 309
  - 311
  - 312
  scipy.integrate._tanhsinh:
  - 552
  - 553
  scipy.integrate._tanhsinh._compute_pair:
  - 514
  - 515
  - 518
  - 520
  - 509
  scipy.integrate._tanhsinh._direct:
  - 1155
  - 1158
  - 1164
  - 1165
  - 1167
  - 1143
  - 1144
  - 1146
  scipy.integrate._tanhsinh._estimate_error:
  - 682
  - 685
  - 690
  - 691
  - 697
  - 702
  - 703
  - 705
  - 706
  - 707
  - 709
  - 710
  - 716
  - 721
  - 722
  - 724
  - 725
  - 726
  - 733
  - 734
  - 739
  - 740
  - 741
  - 743
  - 744
  - 747
  - 748
  - 749
  - 753
  - 754
  - 755
  scipy.integrate._tanhsinh._euler_maclaurin_sum:
  - 650
  - 651
  - 653
  - 660
  - 661
  - 667
  - 670
  - 671
  - 610
  - 611
  - 612
  - 614
  - 615
  - 619
  - 621
  - 622
  - 623
  - 634
  - 636
  - 637
  - 638
  scipy.integrate._tanhsinh._get_base_step:
  - 476
  - 477
  - 487
  scipy.integrate._tanhsinh._get_pairs:
  - 561
  - 562
  - 571
  scipy.integrate._tanhsinh._integral_bound:
  - 1174
  - 1177
  - 1178
  - 1179
  - 1192
  - 1193
  - 1194
  - 1196
  - 1197
  - 1202
  - 1204
  - 1205
  - 1215
  - 1218
  - 1219
  - 1221
  - 1222
  - 1224
  - 1226
  scipy.integrate._tanhsinh._logsumexp:
  - 855
  - 856
  - 857
  - 858
  - 859
  - 861
  scipy.integrate._tanhsinh._nsum:
  - 920
  - 1066
  - 1070
  - 1075
  - 1076
  - 1077
  - 1078
  - 1082
  - 1083
  - 1084
  - 1085
  - 1089
  - 1090
  - 1091
  - 1092
  - 1099
  - 1101
  - 1104
  - 1106
  - 1108
  - 1112
  - 1117
  - 1118
  - 1119
  scipy.integrate._tanhsinh._nsum_iv:
  - 896
  - 898
  - 868
  - 902
  - 872
  - 873
  - 874
  - 907
  - 908
  - 877
  - 879
  - 912
  - 883
  - 886
  - 891
  - 893
  scipy.integrate._tanhsinh._pair_cache:
  - 544
  - 545
  - 546
  - 548
  - 549
  - 534
  - 535
  - 536
  - 542
  - 543
  scipy.integrate._tanhsinh._tanhsinh:
  - 26
  - 305
  - 317
  - 318
  - 319
  - 323
  - 326
  - 327
  - 330
  - 461
  - 462
  - 335
  - 337
  - 338
  - 339
  - 341
  - 342
  - 343
  - 344
  - 345
  - 346
  - 351
  - 352
  - 353
  - 354
  - 355
  - 356
  - 357
  - 359
  - 361
  - 364
  scipy.integrate._tanhsinh._tanhsinh.check_termination:
  - 421
  - 422
  - 423
  - 428
  - 429
  - 431
  - 408
  - 409
  - 412
  - 413
  scipy.integrate._tanhsinh._tanhsinh.customize_result:
  - 445
  - 446
  - 447
  scipy.integrate._tanhsinh._tanhsinh.post_func_eval:
  - 388
  - 389
  - 390
  - 391
  - 398
  - 399
  - 401
  scipy.integrate._tanhsinh._tanhsinh.post_termination_check:
  - 439
  scipy.integrate._tanhsinh._tanhsinh.pre_func_eval:
  - 377
  - 380
  - 375
  scipy.integrate._tanhsinh._tanhsinh_iv:
  - 786
  - 790
  - 791
  - 795
  - 797
  - 799
  - 804
  - 806
  - 809
  - 811
  - 815
  - 820
  - 821
  - 828
  - 829
  - 830
  - 831
  - 834
  - 836
  - 837
  - 839
  - 843
  - 846
  scipy.integrate._tanhsinh._transform_integrals:
  - 768
  - 771
  - 774
  - 775
  scipy.integrate._tanhsinh._transform_to_limits:
  - 580
  - 582
  scipy.integrate.dop.__getattr__:
  - 16
  scipy.integrate.lsoda.__getattr__:
  - 13
  scipy.integrate.odepack.__getattr__:
  - 15
  scipy.integrate.quadpack.__getattr__:
  - 22
  scipy.integrate.vode.__getattr__:
  - 16
  scipy.interpolate:
  - 1
  - 194
  - 197
  scipy.interpolate._bsplines.BSpline:
  - 69
  scipy.interpolate._bsplines.BSpline.__call__:
  - 486
  - 488
  - 490
  - 494
  - 465
  - 500
  - 501
  - 502
  - 503
  - 504
  - 506
  - 508
  scipy.interpolate._bsplines.BSpline.__init__:
  - 208
  - 210
  - 211
  - 212
  - 214
  - 217
  - 221
  - 225
  - 231
  - 233
  - 235
  - 237
  - 240
  - 242
  - 244
  - 246
  - 248
  - 251
  - 252
  scipy.interpolate._bsplines.BSpline._ensure_c_contiguous:
  - 516
  - 521
  - 522
  - 523
  - 524
  scipy.interpolate._bsplines.BSpline._evaluate:
  - 512
  scipy.interpolate._bsplines.BSpline.antiderivative:
  - 581
  - 582
  - 583
  - 584
  - 586
  - 555
  - 591
  scipy.interpolate._bsplines.BSpline.basis_element:
  - 330
  - 331
  - 333
  - 335
  - 275
  scipy.interpolate._bsplines.BSpline.construct_fast:
  - 256
  - 261
  scipy.interpolate._bsplines.BSpline.derivative:
  - 547
  - 548
  - 549
  - 550
  - 551
  - 527
  scipy.interpolate._bsplines.BSpline.design_matrix:
  - 416
  - 417
  - 419
  - 452
  - 421
  - 453
  - 456
  - 459
  - 428
  - 431
  - 339
  - 437
  - 438
  - 413
  - 414
  - 447
  scipy.interpolate._bsplines.BSpline.from_power_basis:
  - 803
  - 811
  - 812
  - 813
  - 814
  - 815
  - 816
  - 821
  - 822
  - 823
  - 824
  - 825
  - 826
  - 827
  - 828
  - 829
  - 830
  - 831
  - 728
  scipy.interpolate._bsplines.BSpline.integrate:
  - 642
  - 646
  - 650
  - 655
  - 657
  - 658
  - 660
  - 663
  - 666
  - 670
  - 671
  - 672
  - 673
  - 675
  - 682
  - 684
  - 686
  - 687
  - 692
  - 701
  - 702
  - 703
  - 707
  - 708
  - 712
  - 713
  - 718
  - 719
  - 595
  - 724
  scipy.interpolate._bsplines.BSpline.tck:
  - 269
  scipy.interpolate._bsplines._as_float_array:
  - 33
  - 34
  - 35
  - 36
  - 29
  scipy.interpolate._bsplines._augknt:
  - 852
  scipy.interpolate._bsplines._coeff_of_divided_diff:
  - 1842
  - 1843
  - 1845
  - 1846
  - 1820
  scipy.interpolate._bsplines._compute_optimal_gcv_parameter:
  - 1582
  - 1807
  - 1806
  - 1812
  - 1813
  scipy.interpolate._bsplines._compute_optimal_gcv_parameter._gcv:
  - 1795
  - 1778
  - 1779
  - 1782
  - 1783
  - 1785
  - 1725
  - 1790
  scipy.interpolate._bsplines._compute_optimal_gcv_parameter.compute_b_inv:
  - 1708
  - 1709
  - 1716
  - 1717
  - 1718
  - 1719
  - 1658
  scipy.interpolate._bsplines._compute_optimal_gcv_parameter.compute_b_inv.find_b_inv_elem:
  - 1696
  - 1702
  - 1703
  - 1704
  - 1692
  - 1694
  scipy.interpolate._bsplines._compute_optimal_gcv_parameter.compute_banded_symmetric_XT_W_Y:
  - 1643
  - 1646
  - 1617
  - 1651
  - 1652
  - 1653
  - 1654
  scipy.interpolate._bsplines._compute_optimal_gcv_parameter.fun:
  - 1810
  scipy.interpolate._bsplines._convert_string_aliases:
  - 857
  - 858
  - 859
  - 860
  - 861
  scipy.interpolate._bsplines._diff_dual_poly:
  - 53
  - 56
  - 57
  - 58
  - 59
  - 60
  - 62
  - 63
  scipy.interpolate._bsplines._dual_poly:
  - 49
  - 42
  - 47
  scipy.interpolate._bsplines._get_dtype:
  - 21
  - 22
  scipy.interpolate._bsplines._make_interp_per_full_matr:
  - 1024
  - 1026
  - 1030
  - 1033
  - 1036
  - 1039
  - 1045
  - 1016
  - 987
  - 1020
  - 1023
  scipy.interpolate._bsplines._make_periodic_spline:
  - 1050
  - 1090
  - 1091
  - 1092
  - 1095
  - 1096
  - 1097
  - 1098
  - 1099
  - 1101
  - 1104
  - 1107
  - 1110
  - 1111
  - 1115
  - 1123
  - 1124
  - 1125
  - 1131
  - 1132
  - 1133
  - 1134
  - 1135
  scipy.interpolate._bsplines._not_a_knot:
  - 841
  - 842
  - 839
  scipy.interpolate._bsplines._periodic_knots:
  - 967
  - 970
  - 971
  - 972
  - 973
  - 975
  - 976
  - 978
  scipy.interpolate._bsplines._process_deriv_spec:
  - 868
  - 877
  - 870
  scipy.interpolate._bsplines._woodbury_algorithm:
  - 960
  - 942
  - 881
  - 946
  - 945
  - 950
  - 954
  - 956
  - 958
  scipy.interpolate._bsplines.fpcheck:
  - 2115
  - 2085
  - 2117
  - 2088
  - 2121
  - 2122
  - 2124
  - 2093
  - 2067
  - 2068
  - 2099
  - 2070
  - 2109
  - 2045
  - 2079
  scipy.interpolate._bsplines.make_interp_spline:
  - 1280
  - 1408
  - 1282
  - 1410
  - 1284
  - 1285
  - 1413
  - 1287
  - 1414
  - 1290
  - 1293
  - 1295
  - 1297
  - 1301
  - 1302
  - 1306
  - 1307
  - 1308
  - 1311
  - 1312
  - 1315
  - 1316
  - 1317
  - 1319
  - 1321
  - 1327
  - 1328
  - 1329
  - 1330
  - 1331
  - 1339
  - 1341
  - 1343
  - 1345
  - 1347
  - 1349
  - 1352
  - 1355
  - 1356
  - 1359
  - 1360
  - 1363
  - 1364
  - 1371
  - 1376
  - 1377
  - 1378
  - 1382
  - 1383
  - 1384
  - 1385
  - 1386
  - 1387
  - 1388
  - 1389
  - 1393
  - 1394
  - 1395
  - 1140
  - 1396
  - 1270
  - 1397
  - 1272
  - 1398
  - 1402
  - 1403
  - 1404
  - 1405
  - 1399
  scipy.interpolate._bsplines.make_lsq_spline:
  - 1537
  - 1539
  - 1541
  - 1543
  - 1545
  - 1418
  - 1547
  - 1549
  - 1558
  - 1559
  - 1560
  - 1561
  - 1562
  - 1565
  - 1568
  - 1570
  - 1573
  - 1574
  - 1524
  - 1525
  - 1526
  - 1527
  - 1528
  - 1530
  - 1531
  - 1533
  - 1535
  scipy.interpolate._bsplines.make_smoothing_spline:
  - 1962
  - 1963
  - 1965
  - 1968
  - 1972
  - 1973
  - 1975
  - 1976
  - 1853
  - 1982
  - 1991
  - 1995
  - 1996
  - 1997
  - 2012
  - 2013
  - 2014
  - 2015
  - 2016
  - 2019
  - 2020
  - 2023
  - 2024
  - 2025
  - 2029
  - 2037
  scipy.interpolate._cubic:
  - 16
  - 1
  scipy.interpolate._cubic.Akima1DInterpolator:
  - 396
  scipy.interpolate._cubic.Akima1DInterpolator.__init__:
  - 513
  - 541
  - 515
  - 549
  - 521
  - 555
  - 524
  - 525
  - 526
  - 539
  - 540
  - 509
  scipy.interpolate._cubic.CubicHermiteSpline:
  - 80
  scipy.interpolate._cubic.CubicHermiteSpline.__init__:
  - 162
  - 147
  - 150
  - 152
  - 153
  - 156
  scipy.interpolate._cubic.CubicSpline:
  - 576
  scipy.interpolate._cubic.CubicSpline.__init__:
  - 897
  - 900
  - 774
  - 775
  - 776
  - 892
  - 790
  - 792
  - 795
  - 796
  - 800
  - 801
  - 818
  - 846
  - 851
  - 854
  - 862
  - 867
  - 742
  - 743
  - 745
  - 873
  - 747
  - 748
  - 877
  - 753
  - 882
  - 755
  - 757
  - 758
  - 888
  - 764
  - 765
  - 767
  scipy.interpolate._cubic.CubicSpline._validate_bc:
  - 905
  - 915
  - 916
  - 917
  - 926
  - 930
  - 936
  - 937
  - 938
  - 939
  - 940
  - 941
  - 942
  - 943
  - 955
  - 959
  - 960
  - 965
  - 966
  - 968
  scipy.interpolate._cubic.PchipInterpolator:
  - 167
  scipy.interpolate._cubic.PchipInterpolator.__init__:
  - 256
  - 257
  - 258
  - 259
  - 249
  - 250
  scipy.interpolate._cubic.PchipInterpolator._edge_case:
  - 268
  - 269
  scipy.interpolate._cubic.PchipInterpolator._find_derivatives:
  - 289
  - 321
  - 322
  - 324
  - 297
  - 299
  - 302
  - 304
  - 312
  - 315
  scipy.interpolate._cubic.pchip_interpolate:
  - 385
  - 387
  - 388
  - 389
  - 390
  - 328
  - 392
  scipy.interpolate._cubic.prepare_input:
  - 24
  - 32
  - 33
  - 35
  - 37
  - 42
  - 43
  - 44
  - 46
  - 48
  - 50
  - 52
  - 54
  - 56
  - 60
  - 62
  - 65
  - 68
  - 69
  - 72
  - 73
  - 74
  scipy.interpolate._fitpack2:
  - 1
  - 2100
  - 1614
  scipy.interpolate._fitpack2.BivariateSpline:
  - 1159
  scipy.interpolate._fitpack2.BivariateSpline._validate_input:
  - 1282
  - 1283
  - 1284
  - 1286
  - 1288
  - 1290
  - 1278
  - 1279
  scipy.interpolate._fitpack2.BivariateSpline.ev:
  - 1194
  - 1253
  scipy.interpolate._fitpack2.BivariateSpline.integral:
  - 1256
  - 1274
  scipy.interpolate._fitpack2.InterpolatedUnivariateSpline:
  - 644
  scipy.interpolate._fitpack2.InterpolatedUnivariateSpline.__init__:
  - 736
  - 740
  - 734
  - 742
  scipy.interpolate._fitpack2.LSQBivariateSpline:
  - 1428
  scipy.interpolate._fitpack2.LSQBivariateSpline.__init__:
  - 1504
  - 1507
  - 1508
  - 1512
  - 1515
  - 1485
  - 1486
  - 1487
  - 1517
  - 1519
  - 1490
  - 1491
  - 1520
  - 1497
  - 1498
  - 1499
  scipy.interpolate._fitpack2.LSQSphereBivariateSpline:
  - 1947
  scipy.interpolate._fitpack2.LSQSphereBivariateSpline.__call__:
  - 2096
  - 2090
  - 2091
  - 2093
  scipy.interpolate._fitpack2.LSQSphereBivariateSpline.__init__:
  - 2080
  - 2081
  - 2056
  - 2057
  - 2059
  - 2061
  - 2063
  - 2065
  - 2067
  - 2068
  - 2069
  - 2071
  - 2074
  - 2075
  - 2078
  scipy.interpolate._fitpack2.LSQUnivariateSpline:
  - 761
  scipy.interpolate._fitpack2.LSQUnivariateSpline.__init__:
  - 897
  - 876
  - 878
  - 884
  - 886
  - 888
  - 889
  - 890
  - 893
  - 895
  scipy.interpolate._fitpack2.RectBivariateSpline:
  - 1527
  scipy.interpolate._fitpack2.RectBivariateSpline.__init__:
  - 1600
  - 1602
  - 1605
  - 1606
  - 1583
  - 1584
  - 1585
  - 1587
  - 1589
  - 1592
  - 1595
  - 1597
  scipy.interpolate._fitpack2.RectSphereBivariateSpline:
  - 2130
  scipy.interpolate._fitpack2.RectSphereBivariateSpline.__call__:
  - 2361
  - 2358
  - 2359
  scipy.interpolate._fitpack2.RectSphereBivariateSpline.__init__:
  - 2308
  - 2309
  - 2311
  - 2313
  - 2315
  - 2318
  - 2320
  - 2323
  - 2326
  - 2330
  - 2333
  - 2337
  - 2340
  - 2341
  - 2342
  - 2343
  - 2344
  - 2347
  - 2348
  - 2281
  - 2282
  - 2283
  - 2285
  - 2287
  - 2289
  - 2291
  - 2296
  - 2301
  scipy.interpolate._fitpack2.SmoothBivariateSpline:
  - 1324
  scipy.interpolate._fitpack2.SmoothBivariateSpline.__init__:
  - 1409
  - 1410
  - 1416
  - 1419
  - 1420
  - 1396
  - 1397
  - 1398
  - 1400
  - 1404
  scipy.interpolate._fitpack2.SmoothSphereBivariateSpline:
  - 1806
  scipy.interpolate._fitpack2.SmoothSphereBivariateSpline.__call__:
  - 1936
  - 1937
  - 1939
  - 1942
  scipy.interpolate._fitpack2.SmoothSphereBivariateSpline.__init__:
  - 1920
  - 1923
  - 1926
  - 1927
  - 1907
  - 1910
  - 1912
  - 1914
  - 1915
  - 1916
  - 1918
  scipy.interpolate._fitpack2.SphereBivariateSpline:
  - 1639
  scipy.interpolate._fitpack2.SphereBivariateSpline.__call__:
  - 1732
  - 1733
  - 1735
  - 1738
  - 1660
  scipy.interpolate._fitpack2.SphereBivariateSpline.ev:
  - 1802
  - 1742
  scipy.interpolate._fitpack2.UnivariateSpline:
  - 72
  scipy.interpolate._fitpack2.UnivariateSpline.__call__:
  - 385
  - 387
  - 388
  - 389
  - 361
  - 396
  scipy.interpolate._fitpack2.UnivariateSpline.__init__:
  - 232
  - 236
  - 238
  - 240
  - 242
  scipy.interpolate._fitpack2.UnivariateSpline._from_tck:
  - 281
  - 282
  - 286
  scipy.interpolate._fitpack2.UnivariateSpline._reset_class:
  - 295
  - 300
  - 302
  - 303
  - 307
  - 310
  - 311
  - 312
  - 313
  scipy.interpolate._fitpack2.UnivariateSpline._reset_nest:
  - 326
  - 327
  - 330
  - 332
  - 336
  scipy.interpolate._fitpack2.UnivariateSpline._set_class:
  - 317
  scipy.interpolate._fitpack2.UnivariateSpline.antiderivative:
  - 640
  - 588
  - 639
  scipy.interpolate._fitpack2.UnivariateSpline.derivative:
  - 585
  - 538
  - 582
  scipy.interpolate._fitpack2.UnivariateSpline.derivatives:
  - 486
  - 463
  scipy.interpolate._fitpack2.UnivariateSpline.get_coeffs:
  - 408
  scipy.interpolate._fitpack2.UnivariateSpline.get_knots:
  - 399
  scipy.interpolate._fitpack2.UnivariateSpline.get_residual:
  - 414
  scipy.interpolate._fitpack2.UnivariateSpline.integral:
  - 424
  - 460
  scipy.interpolate._fitpack2.UnivariateSpline.roots:
  - 489
  - 530
  - 532
  - 533
  scipy.interpolate._fitpack2.UnivariateSpline.set_smoothing_factor:
  - 353
  - 354
  - 356
  - 358
  - 340
  - 347
  - 348
  scipy.interpolate._fitpack2.UnivariateSpline.validate_input:
  - 256
  - 259
  - 261
  - 263
  - 265
  - 267
  - 269
  - 246
  - 247
  - 248
  - 249
  - 250
  - 251
  - 255
  scipy.interpolate._fitpack2._BivariateSplineBase:
  - 903
  scipy.interpolate._fitpack2._BivariateSplineBase.__call__:
  - 1025
  - 1026
  - 1027
  - 1029
  - 1031
  - 1034
  - 1035
  - 1036
  - 1039
  - 1040
  - 1044
  - 1045
  - 1048
  - 1049
  - 1051
  - 1052
  - 1054
  - 1055
  - 1056
  - 1059
  - 1060
  - 1063
  - 949
  - 1020
  - 1021
  scipy.interpolate._fitpack2._BivariateSplineBase._from_tck:
  - 921
  - 922
  - 923
  scipy.interpolate._fitpack2._BivariateSplineBase.get_coeffs:
  - 945
  scipy.interpolate._fitpack2._BivariateSplineBase.get_knots:
  - 937
  scipy.interpolate._fitpack2._BivariateSplineBase.get_residual:
  - 931
  scipy.interpolate._fitpack2._BivariateSplineBase.partial_derivative:
  - 1089
  - 1093
  - 1096
  - 1067
  - 1100
  - 1101
  - 1105
  - 1106
  - 1111
  scipy.interpolate._fitpack2._DerivedBivariateSpline:
  - 1297
  scipy.interpolate._fitpack_impl:
  - 1
  - 102
  - 103
  - 211
  - 212
  - 411
  - 412
  scipy.interpolate._fitpack_impl._int_overflow:
  - 49
  - 42
  - 45
  - 46
  scipy.interpolate._fitpack_impl.bisplev:
  - 675
  - 613
  - 677
  - 678
  - 680
  - 682
  - 684
  - 686
  - 688
  - 689
  - 691
  - 665
  - 667
  - 669
  - 670
  scipy.interpolate._fitpack_impl.bisplrep:
  - 512
  - 514
  - 515
  - 517
  - 518
  - 520
  - 521
  - 522
  - 523
  - 524
  - 525
  - 526
  - 527
  - 528
  - 530
  - 531
  - 532
  - 534
  - 535
  - 536
  - 537
  - 539
  - 540
  - 541
  - 542
  - 544
  - 418
  - 546
  - 549
  - 551
  - 552
  - 553
  - 554
  - 555
  - 556
  - 557
  - 558
  - 559
  - 560
  - 561
  - 566
  - 567
  - 570
  - 573
  - 577
  - 578
  - 587
  - 588
  - 591
  - 592
  - 593
  - 594
  - 596
  - 597
  - 603
  - 510
  - 511
  scipy.interpolate._fitpack_impl.dblint:
  - 697
  - 716
  scipy.interpolate._fitpack_impl.insert:
  - 737
  - 723
  - 727
  - 729
  - 730
  - 731
  - 734
  - 735
  scipy.interpolate._fitpack_impl.spalde:
  - 389
  - 393
  - 394
  - 397
  - 398
  - 399
  - 400
  - 401
  - 403
  scipy.interpolate._fitpack_impl.spalde.<lambda1>:
  - 395
  scipy.interpolate._fitpack_impl.spalde.<lambda2>:
  - 399
  scipy.interpolate._fitpack_impl.splantider:
  - 782
  - 783
  - 788
  - 790
  - 797
  - 798
  scipy.interpolate._fitpack_impl.splder:
  - 769
  - 744
  - 745
  - 749
  - 754
  - 756
  - 758
  scipy.interpolate._fitpack_impl.splev:
  - 321
  - 322
  - 323
  - 325
  - 327
  - 329
  - 331
  - 334
  - 306
  - 310
  - 311
  - 314
  - 316
  - 319
  scipy.interpolate._fitpack_impl.splev.<lambda1>:
  - 312
  scipy.interpolate._fitpack_impl.splint:
  - 341
  - 345
  - 346
  - 349
  - 350
  scipy.interpolate._fitpack_impl.splint.<lambda1>:
  - 347
  scipy.interpolate._fitpack_impl.splprep:
  - 129
  - 131
  - 133
  - 137
  - 142
  - 143
  - 145
  - 147
  - 149
  - 150
  - 151
  - 153
  - 154
  - 155
  - 156
  - 158
  - 160
  - 163
  - 164
  - 168
  - 175
  - 185
  - 188
  - 189
  - 190
  - 192
  - 194
  - 195
  - 196
  - 202
  - 110
  - 111
  - 112
  - 114
  - 116
  - 117
  - 118
  - 119
  - 120
  - 124
  - 126
  - 127
  scipy.interpolate._fitpack_impl.splrep:
  - 256
  - 257
  - 259
  - 260
  - 262
  - 263
  - 264
  - 266
  - 267
  - 275
  - 276
  - 279
  - 281
  - 283
  - 284
  - 285
  - 286
  - 287
  - 293
  - 218
  - 220
  - 221
  - 222
  - 223
  - 224
  - 227
  - 228
  - 229
  - 230
  - 232
  - 235
  - 238
  - 240
  - 242
  - 244
  - 246
  - 248
  - 249
  - 251
  - 252
  - 254
  - 255
  scipy.interpolate._fitpack_impl.sproot:
  - 359
  - 362
  - 366
  - 367
  - 370
  - 372
  - 373
  - 376
  - 378
  - 379
  scipy.interpolate._fitpack_impl.sproot.<lambda1>:
  - 368
  scipy.interpolate._fitpack_py.insert:
  - 647
  - 653
  - 654
  - 655
  - 658
  - 659
  - 660
  - 662
  - 575
  scipy.interpolate._fitpack_py.spalde:
  - 568
  - 571
  - 532
  scipy.interpolate._fitpack_py.splantider:
  - 785
  - 723
  - 782
  - 783
  scipy.interpolate._fitpack_py.splder:
  - 666
  - 716
  - 717
  - 719
  scipy.interpolate._fitpack_py.splev:
  - 358
  - 359
  - 295
  - 371
  - 373
  scipy.interpolate._fitpack_py.splint:
  - 426
  - 427
  - 432
  - 436
  - 438
  - 377
  scipy.interpolate._fitpack_py.splprep:
  - 155
  - 15
  scipy.interpolate._fitpack_py.splrep:
  - 162
  - 290
  scipy.interpolate._fitpack_py.sproot:
  - 514
  - 515
  - 524
  - 525
  - 526
  - 528
  - 442
  scipy.interpolate._interpnd_info:
  - 1
  scipy.interpolate._interpnd_info._estimate_gradients_2d_global:
  - 32
  - 33
  - 34
  - 35
  - 36
  - 37
  - 16
  - 20
  - 21
  - 23
  - 24
  - 26
  - 27
  - 29
  - 30
  scipy.interpolate._interpolate.BPoly:
  - 1486
  scipy.interpolate._interpolate.BPoly._construct_from_derivatives:
  - 1986
  - 1987
  - 1988
  - 1989
  - 1992
  - 1993
  - 1994
  - 1995
  - 1967
  - 1968
  - 1973
  - 1974
  - 1914
  - 1979
  - 1982
  scipy.interpolate._interpolate.BPoly._evaluate:
  - 1573
  - 1574
  - 1575
  scipy.interpolate._interpolate.BPoly._raise_degree:
  - 2027
  - 2031
  - 2001
  - 2034
  - 2033
  - 2035
  - 2036
  scipy.interpolate._interpolate.BPoly.antiderivative:
  - 1665
  - 1667
  - 1669
  - 1677
  - 1679
  - 1684
  - 1653
  - 1654
  - 1656
  - 1658
  - 1659
  - 1631
  scipy.interpolate._interpolate.BPoly.derivative:
  - 1600
  - 1604
  - 1605
  - 1578
  - 1620
  - 1621
  - 1623
  - 1625
  - 1594
  - 1595
  - 1628
  - 1597
  - 1599
  scipy.interpolate._interpolate.BPoly.extend:
  - 1752
  - 1753
  - 1754
  - 1751
  scipy.interpolate._interpolate.BPoly.from_derivatives:
  - 1794
  - 1856
  - 1857
  - 1859
  - 1863
  - 1867
  - 1873
  - 1876
  - 1878
  - 1880
  - 1884
  - 1886
  - 1887
  - 1890
  - 1891
  - 1892
  - 1893
  - 1896
  - 1899
  - 1903
  - 1905
  - 1906
  - 1907
  - 1909
  - 1910
  scipy.interpolate._interpolate.BPoly.from_power_basis:
  - 1772
  - 1776
  - 1781
  - 1782
  - 1783
  - 1784
  - 1785
  - 1787
  - 1790
  - 1759
  scipy.interpolate._interpolate.BPoly.integrate:
  - 1732
  - 1733
  - 1709
  - 1710
  - 1741
  - 1742
  - 1744
  - 1715
  - 1748
  - 1718
  - 1687
  - 1723
  scipy.interpolate._interpolate.NdPPoly:
  - 2041
  scipy.interpolate._interpolate.NdPPoly.__call__:
  - 2186
  - 2189
  - 2191
  - 2193
  - 2195
  - 2197
  - 2198
  - 2200
  - 2201
  - 2204
  - 2205
  - 2206
  - 2207
  - 2209
  - 2210
  - 2212
  - 2217
  - 2220
  - 2158
  scipy.interpolate._interpolate.NdPPoly.__init__:
  - 2113
  - 2115
  - 2117
  - 2119
  - 2122
  - 2123
  - 2104
  - 2105
  - 2106
  - 2108
  - 2110
  - 2111
  scipy.interpolate._interpolate.NdPPoly._antiderivative_inplace:
  - 2273
  - 2278
  - 2279
  - 2282
  - 2285
  - 2286
  - 2287
  - 2257
  - 2290
  - 2291
  - 2261
  - 2262
  - 2264
  - 2267
  - 2269
  - 2271
  scipy.interpolate._interpolate.NdPPoly._derivative_inplace:
  - 2240
  - 2242
  - 2244
  - 2246
  - 2249
  - 2251
  - 2252
  - 2223
  - 2227
  - 2228
  - 2230
  - 2234
  - 2238
  - 2239
  scipy.interpolate._interpolate.NdPPoly._ensure_c_contiguous:
  - 2152
  - 2153
  - 2154
  - 2155
  scipy.interpolate._interpolate.NdPPoly._get_dtype:
  - 2145
  - 2146
  scipy.interpolate._interpolate.NdPPoly.antiderivative:
  - 2355
  - 2357
  - 2358
  - 2360
  - 2330
  scipy.interpolate._interpolate.NdPPoly.construct_fast:
  - 2136
  - 2139
  - 2127
  scipy.interpolate._interpolate.NdPPoly.derivative:
  - 2321
  - 2323
  - 2324
  - 2326
  - 2297
  scipy.interpolate._interpolate.NdPPoly.integrate:
  - 2464
  - 2466
  - 2467
  - 2468
  - 2445
  - 2447
  - 2450
  - 2452
  - 2455
  - 2425
  - 2459
  - 2460
  - 2461
  scipy.interpolate._interpolate.NdPPoly.integrate_1d:
  - 2400
  - 2404
  - 2405
  - 2407
  - 2410
  - 2411
  - 2414
  - 2417
  - 2418
  - 2420
  - 2422
  - 2394
  - 2364
  - 2397
  - 2399
  scipy.interpolate._interpolate.PPoly:
  - 1022
  scipy.interpolate._interpolate.PPoly._evaluate:
  - 1082
  - 1083
  scipy.interpolate._interpolate.PPoly.antiderivative:
  - 1159
  - 1160
  - 1130
  - 1162
  - 1167
  - 1168
  - 1171
  - 1172
  - 1175
  - 1181
  scipy.interpolate._interpolate.PPoly.derivative:
  - 1120
  - 1123
  - 1124
  - 1127
  - 1109
  - 1110
  - 1113
  - 1114
  - 1116
  - 1086
  - 1118
  scipy.interpolate._interpolate.PPoly.from_bernstein_basis:
  - 1472
  - 1473
  - 1474
  - 1475
  - 1476
  - 1477
  - 1479
  - 1450
  - 1482
  - 1463
  - 1467
  scipy.interpolate._interpolate.PPoly.from_spline:
  - 1441
  - 1442
  - 1443
  - 1444
  - 1446
  - 1369
  - 1434
  - 1436
  scipy.interpolate._interpolate.PPoly.integrate:
  - 1184
  - 1204
  - 1209
  - 1213
  - 1214
  - 1217
  - 1224
  - 1226
  - 1227
  - 1228
  - 1232
  - 1240
  - 1241
  - 1242
  - 1243
  - 1247
  - 1248
  - 1252
  - 1253
  - 1257
  - 1258
  - 1259
  - 1263
  scipy.interpolate._interpolate.PPoly.roots:
  - 1339
  - 1365
  scipy.interpolate._interpolate.PPoly.solve:
  - 1314
  - 1317
  - 1319
  - 1323
  - 1324
  - 1325
  - 1326
  - 1327
  - 1266
  - 1330
  - 1333
  - 1336
  scipy.interpolate._interpolate._PPolyBase:
  - 805
  scipy.interpolate._interpolate._PPolyBase.__call__:
  - 997
  - 999
  - 968
  - 1001
  - 1005
  - 1009
  - 1010
  - 1011
  - 1012
  - 1013
  - 1015
  - 1017
  scipy.interpolate._interpolate._PPolyBase.__init__:
  - 809
  - 810
  - 812
  - 814
  - 815
  - 818
  - 822
  - 826
  - 833
  - 834
  - 836
  - 838
  - 840
  - 842
  - 844
  - 846
  - 847
  - 850
  - 851
  scipy.interpolate._interpolate._PPolyBase._ensure_c_contiguous:
  - 880
  - 884
  - 885
  - 886
  - 887
  scipy.interpolate._interpolate._PPolyBase._get_dtype:
  - 854
  - 855
  scipy.interpolate._interpolate._PPolyBase.construct_fast:
  - 870
  - 862
  - 874
  scipy.interpolate._interpolate._PPolyBase.extend:
  - 905
  - 906
  - 908
  - 910
  - 912
  - 914
  - 918
  - 921
  - 922
  - 925
  - 926
  - 930
  - 932
  - 938
  - 942
  - 944
  - 950
  - 952
  - 953
  - 956
  - 960
  - 890
  scipy.interpolate._interpolate._check_broadcast_up_to:
  - 368
  - 369
  - 365
  - 367
  scipy.interpolate._interpolate._do_extrapolate:
  - 381
  - 382
  scipy.interpolate._interpolate.interp1d:
  - 387
  scipy.interpolate._interpolate.interp1d.__init__:
  - 514
  - 518
  - 519
  - 521
  - 522
  - 524
  - 526
  - 528
  - 532
  - 533
  - 540
  - 549
  - 553
  - 561
  - 569
  - 574
  - 576
  - 577
  - 579
  - 580
  - 584
  - 586
  - 587
  - 589
  - 592
  - 595
  - 597
  - 606
  - 614
  - 615
  - 617
  - 619
  - 620
  - 621
  - 623
  - 624
  - 498
  - 499
  - 627
  - 629
  - 634
  - 507
  - 511
  scipy.interpolate._interpolate.interp1d._call_linear:
  - 696
  - 691
  scipy.interpolate._interpolate.interp1d._call_linear_np:
  - 685
  scipy.interpolate._interpolate.interp1d._call_nan_spline:
  - 752
  scipy.interpolate._interpolate.interp1d._call_nearest:
  - 723
  - 717
  - 726
  scipy.interpolate._interpolate.interp1d._call_previousnext:
  - 737
  - 740
  - 741
  - 734
  scipy.interpolate._interpolate.interp1d._call_spline:
  - 749
  scipy.interpolate._interpolate.interp1d._check_and_update_bounds_error_for_extrapolation:
  - 678
  scipy.interpolate._interpolate.interp1d._check_bounds:
  - 772
  - 790
  - 791
  - 794
  - 795
  scipy.interpolate._interpolate.interp1d._evaluate:
  - 760
  - 761
  - 762
  - 763
  - 764
  scipy.interpolate._interpolate.interp1d.fill_value:
  - 672
  - 642
  - 649
  - 650
  - 655
  - 659
  - 660
  - 661
  - 663
  - 664
  - 667
  - 668
  scipy.interpolate._interpolate.interp2d:
  - 111
  scipy.interpolate._interpolate.interp2d.__call__:
  - 301
  - 324
  - 326
  - 327
  - 329
  - 332
  - 333
  - 334
  - 336
  - 340
  - 341
  - 343
  - 349
  - 350
  - 351
  - 353
  - 354
  - 356
  - 359
  - 361
  scipy.interpolate._interpolate.interp2d.__init__:
  - 256
  - 257
  - 260
  - 261
  - 264
  - 266
  - 267
  - 270
  - 283
  - 285
  - 287
  - 295
  - 297
  - 298
  - 243
  - 245
  - 246
  - 247
  - 249
  - 250
  - 251
  - 252
  scipy.interpolate._interpolate.lagrange:
  - 78
  - 79
  - 80
  - 81
  - 82
  - 83
  - 22
  - 86
  scipy.interpolate._ndbspline.NdBSpline:
  - 27
  scipy.interpolate._ndbspline.NdBSpline.__call__:
  - 135
  - 155
  - 157
  - 159
  - 161
  - 162
  - 164
  - 165
  - 169
  - 173
  - 175
  - 176
  - 178
  - 182
  - 185
  - 186
  - 187
  - 188
  - 189
  - 190
  - 193
  - 194
  - 195
  - 198
  - 199
  - 202
  - 206
  - 208
  - 220
  scipy.interpolate._ndbspline.NdBSpline.__init__:
  - 131
  - 132
  - 78
  - 81
  - 86
  - 89
  - 90
  - 91
  - 93
  - 95
  - 97
  - 99
  - 103
  - 106
  - 109
  - 112
  - 115
  - 118
  - 121
  - 124
  scipy.interpolate._ndbspline.NdBSpline.design_matrix:
  - 224
  - 259
  - 260
  - 261
  - 246
  - 248
  - 254
  scipy.interpolate._ndbspline._get_dtype:
  - 19
  - 20
  scipy.interpolate._ndbspline._iter_solve:
  - 269
  - 270
  - 271
  - 274
  - 275
  - 276
  - 277
  - 278
  - 282
  - 283
  scipy.interpolate._ndbspline.make_ndbspl:
  - 289
  - 319
  - 320
  - 323
  - 328
  - 329
  - 330
  - 335
  - 336
  - 337
  - 340
  - 346
  - 347
  - 349
  - 350
  - 351
  - 355
  - 356
  - 357
  scipy.interpolate._ndgriddata:
  - 1
  scipy.interpolate._ndgriddata.NearestNDInterpolator:
  - 21
  scipy.interpolate._ndgriddata.NearestNDInterpolator.__call__:
  - 160
  - 164
  - 134
  - 102
  - 154
  - 144
  - 145
  - 156
  - 148
  - 153
  - 122
  - 123
  - 124
  scipy.interpolate._ndgriddata.NearestNDInterpolator.__init__:
  - 96
  - 97
  - 98
  - 99
  - 93
  scipy.interpolate._ndgriddata.griddata:
  - 296
  - 298
  - 303
  - 176
  - 305
  - 306
  - 307
  - 311
  - 314
  - 316
  - 318
  - 319
  - 320
  - 321
  - 322
  - 323
  - 325
  - 326
  - 327
  - 329
  scipy.interpolate._pade.pade:
  - 66
  - 7
  - 45
  - 46
  - 47
  - 48
  - 50
  - 53
  - 56
  - 57
  - 58
  - 60
  - 62
  - 63
  scipy.interpolate._polyint.BarycentricInterpolator:
  - 535
  scipy.interpolate._polyint.BarycentricInterpolator.__call__:
  - 737
  - 756
  scipy.interpolate._polyint.BarycentricInterpolator.__init__:
  - 645
  - 646
  - 647
  - 648
  - 649
  - 651
  - 654
  - 623
  - 655
  - 625
  - 627
  - 628
  - 629
  - 634
  scipy.interpolate._polyint.BarycentricInterpolator._evaluate:
  - 769
  - 770
  - 771
  - 759
  - 760
  - 766
  - 767
  scipy.interpolate._polyint.BarycentricInterpolator._evaluate_derivatives:
  - 808
  - 809
  - 811
  - 812
  - 814
  - 815
  - 817
  - 820
  - 821
  - 823
  - 828
  - 834
  - 838
  - 840
  - 844
  - 848
  - 853
  - 856
  - 857
  - 858
  - 862
  scipy.interpolate._polyint.BarycentricInterpolator.add_xi:
  - 712
  - 713
  - 715
  - 716
  - 686
  - 718
  - 721
  - 722
  - 725
  - 727
  - 729
  scipy.interpolate._polyint.BarycentricInterpolator.derivative:
  - 778
  - 796
  - 797
  - 798
  scipy.interpolate._polyint.BarycentricInterpolator.set_yi:
  - 680
  - 681
  - 661
  - 677
  scipy.interpolate._polyint.KroghInterpolator:
  - 245
  scipy.interpolate._polyint.KroghInterpolator.__init__:
  - 321
  - 323
  - 324
  - 327
  - 328
  - 332
  - 334
  - 335
  - 340
  - 341
  - 342
  - 344
  scipy.interpolate._polyint.KroghInterpolator._evaluate:
  - 353
  - 355
  scipy.interpolate._polyint.KroghInterpolator._evaluate_derivatives:
  - 386
  - 365
  - 368
  - 369
  - 371
  - 374
  - 379
  - 382
  - 383
  scipy.interpolate._polyint._Interpolator1D:
  - 19
  scipy.interpolate._polyint._Interpolator1D.__call__:
  - 80
  - 81
  - 82
  - 60
  scipy.interpolate._polyint._Interpolator1D.__init__:
  - 56
  - 57
  scipy.interpolate._polyint._Interpolator1D._evaluate:
  - 85
  scipy.interpolate._polyint._Interpolator1D._finish_y:
  - 97
  - 98
  - 99
  - 100
  - 101
  - 102
  - 103
  - 104
  scipy.interpolate._polyint._Interpolator1D._prepare_x:
  - 91
  - 92
  - 94
  scipy.interpolate._polyint._Interpolator1D._reshape_yi:
  - 113
  - 108
  - 109
  - 110
  scipy.interpolate._polyint._Interpolator1D._set_dtype:
  - 136
  - 137
  - 140
  scipy.interpolate._polyint._Interpolator1D._set_yi:
  - 133
  - 116
  - 118
  - 121
  - 124
  - 126
  scipy.interpolate._polyint._Interpolator1DWithDerivatives._evaluate_derivatives:
  - 223
  scipy.interpolate._polyint._Interpolator1DWithDerivatives.derivative:
  - 193
  - 218
  - 219
  - 220
  scipy.interpolate._polyint._Interpolator1DWithDerivatives.derivatives:
  - 146
  - 179
  - 180
  - 182
  - 183
  - 184
  - 185
  - 186
  - 187
  - 188
  - 189
  scipy.interpolate._polyint._isscalar:
  - 14
  - 15
  scipy.interpolate._polyint.approximate_taylor_polynomial:
  - 518
  - 460
  - 526
  - 528
  - 529
  - 531
  scipy.interpolate._polyint.barycentric_interpolate:
  - 866
  - 932
  - 933
  - 934
  - 935
  - 936
  - 938
  scipy.interpolate._polyint.krogh_interpolate:
  - 450
  - 451
  - 452
  - 453
  - 454
  - 456
  - 393
  scipy.interpolate._rbf:
  - 1
  scipy.interpolate._rbf.Rbf:
  - 56
  scipy.interpolate._rbf.Rbf.A:
  - 274
  - 275
  scipy.interpolate._rbf.Rbf.__call__:
  - 288
  - 289
  - 290
  - 281
  - 282
  - 284
  scipy.interpolate._rbf.Rbf.__init__:
  - 257
  - 258
  - 261
  - 263
  - 264
  - 265
  - 266
  - 268
  - 223
  - 227
  - 229
  - 230
  - 232
  - 233
  - 238
  - 241
  - 242
  - 243
  - 246
  - 247
  - 249
  - 250
  - 252
  - 253
  scipy.interpolate._rbf.Rbf._call_norm:
  - 278
  scipy.interpolate._rbf.Rbf._h_gaussian:
  - 158
  scipy.interpolate._rbf.Rbf._h_inverse_multiquadric:
  - 155
  scipy.interpolate._rbf.Rbf._h_multiquadric:
  - 152
  scipy.interpolate._rbf.Rbf._h_thin_plate:
  - 170
  scipy.interpolate._rbf.Rbf._init_function:
  - 193
  - 194
  - 197
  - 204
  - 174
  - 175
  - 206
  - 207
  - 179
  - 212
  - 213
  - 183
  - 184
  - 186
  - 187
  - 190
  - 191
  scipy.interpolate._rbfinterp:
  - 1
  scipy.interpolate._rbfinterp.RBFInterpolator:
  - 135
  scipy.interpolate._rbfinterp.RBFInterpolator.__call__:
  - 512
  - 513
  - 514
  - 518
  - 519
  - 520
  - 522
  - 523
  - 531
  - 539
  - 547
  - 548
  - 463
  - 476
  - 477
  - 481
  - 490
  - 492
  - 493
  - 503
  - 504
  scipy.interpolate._rbfinterp.RBFInterpolator.__init__:
  - 293
  - 294
  - 299
  - 300
  - 301
  - 307
  - 311
  - 313
  - 314
  - 316
  - 317
  - 323
  - 324
  - 327
  - 328
  - 336
  - 338
  - 339
  - 340
  - 342
  - 343
  - 345
  - 346
  - 354
  - 359
  - 362
  - 366
  - 372
  - 373
  - 383
  scipy.interpolate._rbfinterp.RBFInterpolator._chunk_evaluator:
  - 449
  - 451
  - 459
  - 432
  - 433
  - 404
  - 438
  - 439
  - 440
  - 441
  scipy.interpolate._rbfinterp._build_and_solve_system:
  - 110
  - 113
  - 114
  - 83
  - 116
  - 119
  - 120
  - 121
  - 122
  scipy.interpolate._rbfinterp._monomial_powers:
  - 67
  - 68
  - 70
  - 71
  - 74
  - 51
  scipy.interpolate._rgi.RegularGridInterpolator:
  - 54
  - 271
  scipy.interpolate._rgi.RegularGridInterpolator.__call__:
  - 401
  - 403
  - 404
  - 406
  - 412
  - 414
  - 415
  - 416
  - 423
  - 424
  - 430
  - 431
  - 432
  - 433
  - 434
  - 435
  - 436
  - 437
  - 438
  - 440
  - 442
  - 446
  - 448
  - 343
  scipy.interpolate._rgi.RegularGridInterpolator.__init__:
  - 288
  - 294
  - 295
  - 296
  - 298
  - 300
  - 276
  - 278
  - 279
  - 282
  - 283
  - 284
  - 285
  - 286
  - 287
  scipy.interpolate._rgi.RegularGridInterpolator._check_dimensionality:
  - 316
  scipy.interpolate._rgi.RegularGridInterpolator._check_fill_value:
  - 336
  - 333
  - 334
  - 335
  scipy.interpolate._rgi.RegularGridInterpolator._check_points:
  - 319
  scipy.interpolate._rgi.RegularGridInterpolator._check_values:
  - 322
  - 324
  - 326
  - 327
  - 328
  scipy.interpolate._rgi.RegularGridInterpolator._construct_spline:
  - 307
  - 309
  scipy.interpolate._rgi.RegularGridInterpolator._do_pchip:
  - 585
  - 586
  scipy.interpolate._rgi.RegularGridInterpolator._do_spline_fit:
  - 579
  - 580
  scipy.interpolate._rgi.RegularGridInterpolator._evaluate_linear:
  - 491
  - 492
  - 497
  - 498
  - 499
  - 500
  - 501
  - 502
  - 504
  - 479
  scipy.interpolate._rgi.RegularGridInterpolator._evaluate_nearest:
  - 509
  - 510
  - 511
  scipy.interpolate._rgi.RegularGridInterpolator._evaluate_spline:
  - 553
  - 526
  - 527
  - 560
  - 561
  - 566
  - 536
  - 569
  - 538
  - 540
  scipy.interpolate._rgi.RegularGridInterpolator._find_indices:
  - 590
  scipy.interpolate._rgi.RegularGridInterpolator._find_out_of_bounds:
  - 594
  - 596
  scipy.interpolate._rgi.RegularGridInterpolator._prepare_xi:
  - 451
  - 452
  - 453
  - 459
  - 460
  - 463
  - 465
  - 466
  - 467
  - 468
  - 473
  scipy.interpolate._rgi.RegularGridInterpolator._validate_grid_dimensions:
  - 515
  - 516
  - 517
  scipy.interpolate._rgi._check_dimensionality:
  - 48
  - 41
  - 44
  - 45
  scipy.interpolate._rgi._check_points:
  - 35
  - 36
  - 37
  - 21
  - 24
  - 25
  - 26
  - 28
  - 29
  scipy.interpolate._rgi.interpn:
  - 701
  - 708
  - 709
  - 712
  - 715
  - 719
  - 722
  - 726
  - 727
  - 730
  - 731
  - 604
  - 736
  - 737
  - 738
  - 739
  - 744
  - 745
  - 748
  - 749
  - 751
  - 754
  - 757
  - 760
  - 761
  - 762
  - 764
  scipy.interpolate.fitpack.__getattr__:
  - 30
  scipy.interpolate.fitpack2.__getattr__:
  - 36
  scipy.interpolate.interpolate.__getattr__:
  - 42
  scipy.interpolate.ndgriddata.__getattr__:
  - 23
  scipy.interpolate.polyint.__getattr__:
  - 24
  scipy.interpolate.rbf.__getattr__:
  - 23
  scipy.io:
  - 112
  - 1
  - 115
  scipy.io._fast_matrix_market:
  - 73
  - 29
  - 5
  - 22
  scipy.io._fast_matrix_market._TextToBytesWrapper:
  - 80
  scipy.io._fast_matrix_market._TextToBytesWrapper.__del__:
  - 91
  scipy.io._fast_matrix_market._TextToBytesWrapper.__init__:
  - 85
  scipy.io._fast_matrix_market._TextToBytesWrapper._encoding_call:
  - 96
  - 94
  - 95
  scipy.io._fast_matrix_market._TextToBytesWrapper.peek:
  - 105
  scipy.io._fast_matrix_market._TextToBytesWrapper.read:
  - 99
  scipy.io._fast_matrix_market._TextToBytesWrapper.read1:
  - 102
  scipy.io._fast_matrix_market._TextToBytesWrapper.seek:
  - 114
  - 111
  scipy.io._fast_matrix_market._apply_field:
  - 264
  - 266
  - 267
  - 270
  - 272
  - 273
  - 244
  - 276
  scipy.io._fast_matrix_market._get_read_cursor:
  - 192
  - 194
  - 197
  - 200
  - 201
  - 170
  - 202
  - 203
  - 176
  - 180
  - 186
  - 187
  - 188
  - 190
  scipy.io._fast_matrix_market._get_write_cursor:
  - 224
  - 225
  - 228
  - 230
  - 234
  - 236
  - 238
  - 210
  - 215
  - 217
  - 219
  - 221
  scipy.io._fast_matrix_market._read_body_array:
  - 129
  - 130
  - 124
  scipy.io._fast_matrix_market._read_body_coo:
  - 160
  - 162
  - 163
  - 164
  - 135
  - 141
  - 145
  - 146
  - 147
  - 149
  - 151
  - 157
  - 159
  scipy.io._fast_matrix_market._validate_symmetry:
  - 280
  - 288
  - 283
  - 286
  scipy.io._fast_matrix_market.mminfo:
  - 589
  - 591
  - 592
  - 593
  - 537
  scipy.io._fast_matrix_market.mmread:
  - 354
  - 356
  - 357
  - 358
  - 295
  - 359
  - 363
  - 364
  - 365
  - 366
  scipy.io._fast_matrix_market.mmwrite:
  - 513
  - 514
  - 516
  - 518
  - 520
  - 525
  - 495
  - 496
  - 529
  - 370
  - 498
  - 499
  - 530
  - 504
  - 505
  - 507
  - 508
  - 511
  scipy.io._fortran:
  - 1
  scipy.io._fortran.FortranEOFError:
  - 14
  scipy.io._fortran.FortranFile:
  - 34
  scipy.io._fortran.FortranFile.__exit__:
  - 354
  scipy.io._fortran.FortranFile.__init__:
  - 110
  - 113
  - 114
  - 115
  - 117
  - 120
  - 123
  scipy.io._fortran.FortranFile._read_size:
  - 129
  - 130
  - 132
  - 135
  scipy.io._fortran.FortranFile.close:
  - 348
  - 342
  scipy.io._fortran.FortranFile.read_ints:
  - 296
  - 316
  scipy.io._fortran.FortranFile.read_reals:
  - 339
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  scipy.io._fortran.FortranFile.read_record:
  - 256
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  - 271
  - 272
  - 273
  - 276
  - 278
  - 282
  - 284
  - 285
  - 290
  - 293
  - 171
  - 244
  - 245
  - 248
  - 250
  - 253
  - 255
  scipy.io._fortran.FortranFile.write_record:
  - 160
  - 161
  - 163
  - 165
  - 166
  - 167
  - 168
  - 138
  scipy.io._fortran.FortranFormattingError:
  - 25
  scipy.io._harwell_boeing:
  - 16
  scipy.io._harwell_boeing._fortran_format_parser:
  - 1
  scipy.io._harwell_boeing._fortran_format_parser.ExpFormat.__init__:
  - 133
  scipy.io._harwell_boeing._fortran_format_parser.ExpFormat.__repr__:
  - 146
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  scipy.io._harwell_boeing._fortran_format_parser.ExpFormat.fortran_format:
  - 156
  - 159
  scipy.io._harwell_boeing._fortran_format_parser.ExpFormat.from_number:
  - 129
  - 98
  - 130
  - 121
  - 125
  - 127
  scipy.io._harwell_boeing._fortran_format_parser.ExpFormat.python_format:
  - 165
  scipy.io._harwell_boeing._fortran_format_parser.FortranFormatParser:
  - 222
  scipy.io._harwell_boeing._fortran_format_parser.FortranFormatParser.__init__:
  - 231
  scipy.io._harwell_boeing._fortran_format_parser.FortranFormatParser._expect:
  - 257
  scipy.io._harwell_boeing._fortran_format_parser.FortranFormatParser._get_min:
  - 250
  - 251
  - 253
  scipy.io._harwell_boeing._fortran_format_parser.FortranFormatParser._next:
  - 305
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  scipy.io._harwell_boeing._fortran_format_parser.FortranFormatParser._parse_format:
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  - 277
  - 278
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  - 280
  - 283
  - 284
  - 285
  - 286
  - 288
  - 290
  - 291
  - 293
  - 294
  - 296
  - 297
  - 300
  scipy.io._harwell_boeing._fortran_format_parser.FortranFormatParser.parse:
  - 234
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  - 241
  - 244
  - 245
  scipy.io._harwell_boeing._fortran_format_parser.IntFormat.__repr__:
  - 73
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  scipy.io._harwell_boeing._fortran_format_parser.IntFormat.fortran_format:
  - 83
  - 86
  scipy.io._harwell_boeing._fortran_format_parser.IntFormat.from_number:
  - 64
  - 60
  - 61
  - 38
  scipy.io._harwell_boeing._fortran_format_parser.IntFormat.python_format:
  - 92
  scipy.io._harwell_boeing._fortran_format_parser.Token.__repr__:
  - 178
  scipy.io._harwell_boeing._fortran_format_parser.Tokenizer.__init__:
  - 184
  - 183
  scipy.io._harwell_boeing._fortran_format_parser.Tokenizer.input:
  - 189
  scipy.io._harwell_boeing._fortran_format_parser.Tokenizer.next_token:
  - 195
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  - 197
  - 200
  - 201
  scipy.io._harwell_boeing._fortran_format_parser.number_digits:
  - 32
  scipy.io._harwell_boeing.hb:
  - 1
  scipy.io._harwell_boeing.hb.HBFile.__init__:
  - 425
  - 436
  - 437
  scipy.io._harwell_boeing.hb.HBFile.read_matrix:
  - 464
  scipy.io._harwell_boeing.hb.HBFile.write_matrix:
  - 467
  scipy.io._harwell_boeing.hb.HBInfo.__init__:
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  - 222
  - 224
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  - 246
  - 250
  - 251
  scipy.io._harwell_boeing.hb.HBInfo.dump:
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  scipy.io._harwell_boeing.hb.HBInfo.from_data:
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  - 83
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  scipy.io._harwell_boeing.hb.HBInfo.from_data._nlines:
  - 108
  scipy.io._harwell_boeing.hb.HBInfo.from_file:
  - 139
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  - 152
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  - 154
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  - 160
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  - 200
  - 203
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  scipy.io._harwell_boeing.hb.HBMatrixType:
  - 384
  - 385
  - 386
  - 364
  scipy.io._harwell_boeing.hb.HBMatrixType.__init__:
  - 408
  - 410
  - 406
  scipy.io._harwell_boeing.hb.HBMatrixType.from_fortran:
  - 397
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  scipy.io._harwell_boeing.hb._expect_int:
  - 305
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  scipy.io._harwell_boeing.hb._nbytes_full:
  - 40
  scipy.io._harwell_boeing.hb._read_hb_data:
  - 322
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  - 314
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  - 319
  scipy.io._harwell_boeing.hb._write_data:
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  scipy.io._harwell_boeing.hb._write_data.write_array:
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  scipy.io._harwell_boeing.hb.hb_read:
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  scipy.io._harwell_boeing.hb.hb_read._get_matrix:
  - 508
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  scipy.io._harwell_boeing.hb.hb_write:
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  scipy.io._harwell_boeing.hb.hb_write._set_matrix:
  - 564
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  scipy.io._idl.AttrDict:
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  scipy.io._idl.AttrDict.__getattr__:
  - 668
  scipy.io._idl.AttrDict.__getitem__:
  - 661
  scipy.io._idl.AttrDict.__init__:
  - 658
  scipy.io._idl.AttrDict.__setitem__:
  - 664
  scipy.io._idl.ObjectPointer:
  - 154
  scipy.io._idl.Pointer:
  - 146
  scipy.io._idl._align_32:
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  scipy.io._idl._read_array:
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  scipy.io._idl._read_arraydesc:
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  scipy.io._idl._read_byte:
  - 96
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  scipy.io._idl._read_bytes:
  - 91
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  scipy.io._idl._read_data:
  - 182
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  - 191
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  scipy.io._idl._read_float64:
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  - 142
  scipy.io._idl._read_int16:
  - 106
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  scipy.io._idl._read_int32:
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  scipy.io._idl._read_int64:
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  scipy.io._idl._read_record:
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  - 369
  - 371
  - 373
  - 374
  - 375
  - 376
  - 378
  - 380
  - 381
  - 382
  scipy.io._idl._read_string:
  - 160
  - 161
  - 162
  - 163
  - 159
  scipy.io._idl._read_string_data:
  - 170
  - 171
  - 172
  - 173
  - 174
  - 175
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  - 514
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  - 517
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  - 526
  - 527
  - 529
  - 531
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  - 492
  - 496
  - 497
  - 500
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  - 503
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  - 511
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  - 224
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  - 260
  - 261
  - 262
  - 263
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  - 234
  - 235
  - 237
  - 238
  - 244
  - 246
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  - 249
  - 250
  - 253
  - 254
  scipy.io._idl._read_tagdesc:
  - 546
  - 548
  - 550
  - 551
  - 553
  - 554
  scipy.io._idl._read_typedesc:
  - 425
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  - 429
  - 435
  - 436
  - 437
  - 438
  - 439
  scipy.io._idl._read_uint16:
  - 121
  - 122
  scipy.io._idl._read_uint32:
  - 126
  - 127
  scipy.io._idl._read_uint64:
  - 131
  - 132
  scipy.io._idl._replace_heap:
  - 566
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  - 573
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  - 85
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  scipy.io._idl.readsav:
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  - 908
  - 909
  - 910
  - 911
  - 913
  - 914
  scipy.io._mmio:
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  - 559
  scipy.io._mmio.MMFile._field_template:
  - 550
  scipy.io._mmio.MMFile._get_symmetry:
  - 486
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  - 524
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  - 527
  - 496
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  - 498
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  - 531
  - 533
  - 502
  - 535
  - 539
  - 541
  - 543
  scipy.io._mmio.MMFile._get_symmetry.symm_iterator:
  - 516
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  - 508
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  - 510
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  scipy.io._mmio.MMFile._open:
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  - 462
  - 465
  - 467
  - 468
  - 470
  - 472
  - 476
  - 478
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  scipy.io._mmio.MMFile._parse_body:
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  - 645
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  - 306
  scipy.io._mmio.MMFile._validate_format:
  - 291
  scipy.io._mmio.MMFile._validate_symmetry:
  - 320
  scipy.io._mmio.MMFile._write:
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  - 391
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  - 397
  - 399
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  - 401
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  - 407
  - 410
  - 412
  - 413
  - 416
  - 417
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  - 376
  - 378
  - 382
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  - 582
  - 585
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  - 563
  scipy.io._mmio.MMFile.write:
  - 612
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  - 618
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  - 621
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  - 961
  - 941
  - 951
  - 956
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  - 26
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  scipy.io._mmio.mminfo:
  - 32
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  scipy.io._mmio.mmread:
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  scipy.io._mmio.mmwrite:
  - 242
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  scipy.io._netcdf:
  - 1
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  - 99
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  - 611
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  - 640
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  - 642
  - 634
  - 635
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  scipy.io._netcdf.netcdf_file._read_att_values:
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  - 772
  - 758
  - 759
  - 764
  - 765
  - 767
  scipy.io._netcdf.netcdf_file._read_dim_array:
  - 618
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  - 621
  - 623
  - 624
  - 625
  - 627
  scipy.io._netcdf.netcdf_file._read_gatt_array:
  - 630
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  scipy.io._netcdf.netcdf_file._read_numrecs:
  - 615
  scipy.io._netcdf.netcdf_file._read_var:
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  - 739
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  - 743
  - 744
  - 745
  - 747
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  - 750
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  - 724
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  scipy.io._netcdf.netcdf_file._unpack_int:
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  scipy.io._netcdf.netcdf_file._unpack_int64:
  - 793
  scipy.io._netcdf.netcdf_file._unpack_string:
  - 802
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  - 804
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  - 416
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  - 418
  - 419
  - 411
  - 412
  - 413
  scipy.io._netcdf.netcdf_file._write_att_array:
  - 448
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  - 443
  - 444
  - 445
  - 446
  - 447
  scipy.io._netcdf.netcdf_file._write_att_values:
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  - 566
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  - 574
  - 575
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  - 429
  - 430
  - 431
  - 432
  - 433
  - 435
  - 437
  scipy.io._netcdf.netcdf_file._write_gatt_array:
  - 440
  scipy.io._netcdf.netcdf_file._write_numrecs:
  - 424
  - 425
  - 426
  - 423
  scipy.io._netcdf.netcdf_file._write_var_array:
  - 453
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  - 455
  - 463
  - 466
  - 467
  - 470
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  - 474
  - 475
  - 477
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  - 460
  scipy.io._netcdf.netcdf_file._write_var_data:
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  - 552
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  - 528
  - 533
  - 536
  - 538
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  - 543
  scipy.io._netcdf.netcdf_file._write_var_metadata:
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  - 484
  - 485
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  - 488
  - 490
  - 491
  - 493
  - 501
  - 503
  - 506
  - 509
  - 510
  scipy.io._netcdf.netcdf_file._write_var_padding:
  - 555
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  - 557
  scipy.io._netcdf.netcdf_file.close:
  - 291
  - 292
  - 294
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  - 298
  - 300
  - 302
  - 306
  - 316
  scipy.io._netcdf.netcdf_file.createDimension:
  - 345
  - 349
  - 326
  scipy.io._netcdf.netcdf_file.createVariable:
  - 352
  - 385
  - 387
  - 391
  - 392
  - 382
  - 383
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  - 406
  - 398
  - 407
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  - 977
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  - 980
  - 982
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  scipy.io._netcdf.netcdf_variable.__setitem__:
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  - 1010
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  scipy.io._netcdf.netcdf_variable._apply_missing_value:
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  - 1084
  - 1085
  scipy.io._netcdf.netcdf_variable._default_encoded_fill_value:
  - 1025
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  - 1029
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  - 1041
  - 1043
  scipy.io._netcdf.netcdf_variable._get_missing_value:
  - 1056
  - 1058
  - 1046
  scipy.io._netcdf.netcdf_variable.assignValue:
  - 935
  - 919
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  - 906
  - 916
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  - 893
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  - 958
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  - 897
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  - 946
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  - 36
  - 37
  - 38
  - 39
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  - 45
  - 47
  - 30
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  - 89
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  - 76
  scipy.io.arff._arffread.Attribute.parse_data:
  - 83
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  - 264
  - 259
  scipy.io.arff._arffread.DateAttribute.__str__:
  - 336
  scipy.io.arff._arffread.DateAttribute._get_date_format:
  - 268
  - 269
  - 270
  - 273
  - 274
  - 276
  - 277
  - 279
  - 280
  - 282
  - 283
  - 285
  - 286
  - 288
  - 289
  - 291
  - 292
  - 294
  - 298
  scipy.io.arff._arffread.DateAttribute.parse_attribute:
  - 307
  - 315
  - 317
  - 318
  - 319
  scipy.io.arff._arffread.DateAttribute.parse_data:
  - 324
  - 327
  - 328
  - 329
  - 331
  - 332
  scipy.io.arff._arffread.MetaData:
  - 656
  scipy.io.arff._arffread.MetaData.__iter__:
  - 699
  scipy.io.arff._arffread.MetaData.__repr__:
  - 691
  - 693
  - 694
  scipy.io.arff._arffread.MetaData.names:
  - 714
  - 707
  scipy.io.arff._arffread.MetaData.types:
  - 717
  scipy.io.arff._arffread.NominalAttribute.__init__:
  - 100
  - 103
  scipy.io.arff._arffread.NominalAttribute.__str__:
  - 163
  scipy.io.arff._arffread.NominalAttribute._get_nom_val:
  - 128
  - 129
  - 130
  - 131
  - 107
  scipy.io.arff._arffread.NominalAttribute.parse_attribute:
  - 144
  - 137
  - 145
  - 146
  scipy.io.arff._arffread.NominalAttribute.parse_data:
  - 154
  - 156
  - 151
  scipy.io.arff._arffread.NumericAttribute.__init__:
  - 173
  scipy.io.arff._arffread.NumericAttribute._basic_stats:
  - 228
  - 229
  scipy.io.arff._arffread.NumericAttribute.parse_attribute:
  - 192
  - 179
  - 187
  - 189
  - 190
  - 191
  scipy.io.arff._arffread.NumericAttribute.parse_data:
  - 221
  - 224
  - 197
  scipy.io.arff._arffread.RelationalAttribute.__init__:
  - 342
  scipy.io.arff._arffread.RelationalAttribute.__str__:
  - 384
  - 383
  scipy.io.arff._arffread.RelationalAttribute.parse_attribute:
  - 360
  - 361
  - 358
  - 350
  scipy.io.arff._arffread.RelationalAttribute.parse_data:
  - 367
  - 369
  - 373
  - 374
  - 376
  - 377
  - 379
  scipy.io.arff._arffread.StringAttribute.__init__:
  - 235
  scipy.io.arff._arffread.StringAttribute.parse_attribute:
  - 240
  - 248
  - 250
  - 251
  scipy.io.arff._arffread._loadarff:
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  - 839
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  - 813
  - 815
  - 820
  - 821
  - 824
  scipy.io.arff._arffread._loadarff.generator:
  - 865
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  - 856
  - 859
  - 862
  scipy.io.arff._arffread.basic_stats:
  - 880
  scipy.io.arff._arffread.csv_sniffer_has_bug_last_field:
  - 408
  - 410
  - 403
  - 411
  scipy.io.arff._arffread.loadarff:
  - 802
  - 804
  - 806
  - 807
  - 730
  - 799
  scipy.io.arff._arffread.print_attribute:
  - 889
  - 885
  - 886
  - 887
  scipy.io.arff._arffread.read_header:
  - 640
  - 641
  - 643
  - 644
  - 645
  - 648
  - 650
  - 625
  - 626
  - 629
  - 630
  - 635
  - 636
  - 637
  - 638
  - 639
  scipy.io.arff._arffread.read_relational_attribute:
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  - 609
  - 610
  - 611
  - 612
  - 613
  - 614
  - 618
  - 620
  - 603
  - 605
  scipy.io.arff._arffread.split_data_line:
  - 480
  - 486
  - 489
  - 490
  - 491
  - 495
  - 473
  - 476
  scipy.io.arff._arffread.test_weka:
  - 896
  - 897
  - 893
  - 894
  - 895
  scipy.io.arff._arffread.to_attribute:
  - 394
  - 395
  - 396
  scipy.io.arff._arffread.tokenize_attribute:
  - 545
  - 546
  - 547
  - 549
  - 550
  - 551
  - 552
  - 553
  - 554
  - 555
  - 563
  - 565
  - 566
  - 504
  scipy.io.arff._arffread.tokenize_single_comma:
  - 576
  - 578
  - 579
  - 575
  scipy.io.arff._arffread.tokenize_single_wcomma:
  - 593
  - 594
  - 590
  - 591
  scipy.io.arff._arffread.workaround_csv_sniffer_bug_last_field:
  - 419
  - 453
  - 422
  - 455
  - 456
  - 426
  - 459
  - 430
  - 431
  - 432
  - 462
  - 437
  - 443
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  - 851
  - 852
  - 853
  - 854
  - 855
  - 858
  - 859
  - 860
  - 862
  - 863
  - 866
  - 869
  - 870
  - 871
  - 878
  - 882
  - 888
  - 891
  - 892
  - 894
  - 895
  scipy.linalg._basic.solve_toeplitz:
  - 674
  - 679
  - 680
  - 683
  - 684
  - 686
  - 687
  - 688
  - 603
  scipy.linalg._basic.solve_triangular:
  - 353
  - 266
  - 333
  - 334
  - 335
  - 337
  - 339
  - 341
  - 342
  - 343
  - 344
  - 348
  - 351
  scipy.linalg._basic.solveh_banded:
  - 577
  - 578
  - 580
  - 581
  - 582
  - 587
  - 588
  - 591
  - 592
  - 594
  - 596
  - 470
  - 571
  - 572
  - 574
  scipy.linalg._decomp:
  - 32
  - 901
  - 271
  scipy.linalg._decomp._check_info:
  - 1385
  - 1386
  - 1389
  scipy.linalg._decomp._check_select:
  - 642
  - 644
  - 647
  - 654
  - 628
  - 629
  - 630
  - 637
  - 638
  - 639
  scipy.linalg._decomp._geneig:
  - 77
  - 79
  - 80
  - 81
  - 82
  - 84
  - 86
  - 90
  - 91
  - 93
  - 94
  - 96
  - 97
  - 98
  - 99
  - 102
  - 103
  - 104
  - 105
  - 106
  - 108
  - 110
  - 111
  scipy.linalg._decomp._make_complex_eigvecs:
  - 40
  - 43
  - 36
  - 45
  scipy.linalg._decomp._make_eigvals:
  - 68
  - 71
  - 50
  - 51
  - 52
  - 54
  - 56
  - 59
  scipy.linalg._decomp.cdf2rdf:
  - 1602
  - 1475
  - 1571
  - 1603
  - 1574
  - 1579
  - 1580
  - 1611
  - 1583
  - 1587
  - 1619
  - 1557
  - 1560
  - 1562
  - 1595
  - 1564
  - 1597
  scipy.linalg._decomp.eig:
  - 256
  - 258
  - 259
  - 260
  - 261
  - 262
  - 264
  - 265
  - 215
  - 216
  - 218
  - 219
  - 220
  - 221
  - 222
  - 224
  - 226
  - 229
  - 232
  - 236
  - 237
  - 241
  - 243
  - 119
  - 249
  - 251
  - 255
  scipy.linalg._decomp.eig_banded:
  - 768
  - 769
  - 770
  - 772
  - 773
  - 777
  - 779
  - 782
  - 783
  - 662
  - 794
  - 795
  - 798
  - 801
  - 802
  - 804
  - 805
  - 806
  - 810
  - 811
  - 817
  - 819
  - 821
  scipy.linalg._decomp.eigh:
  - 512
  - 517
  - 524
  - 525
  - 528
  - 531
  - 276
  - 545
  - 546
  - 549
  - 550
  - 552
  - 554
  - 555
  - 559
  - 560
  - 564
  - 565
  - 568
  - 443
  - 444
  - 571
  - 574
  - 448
  - 449
  - 576
  - 583
  - 584
  - 460
  - 589
  - 464
  - 465
  - 592
  - 467
  - 468
  - 472
  - 473
  - 474
  - 475
  - 478
  - 607
  - 608
  - 481
  - 609
  - 610
  - 484
  - 485
  - 611
  - 612
  - 613
  - 615
  - 493
  - 497
  - 501
  - 502
  - 503
  - 508
  - 510
  scipy.linalg._decomp.eigh_tridiagonal:
  - 1297
  - 1298
  - 1299
  - 1300
  - 1302
  - 1304
  - 1306
  - 1308
  - 1311
  - 1314
  - 1318
  - 1319
  - 1320
  - 1321
  - 1323
  - 1324
  - 1326
  - 1331
  - 1333
  - 1334
  - 1207
  - 1336
  - 1339
  - 1340
  - 1341
  - 1342
  - 1344
  - 1345
  - 1346
  - 1347
  - 1349
  - 1353
  - 1357
  - 1359
  - 1360
  - 1362
  - 1363
  - 1365
  - 1367
  - 1371
  - 1372
  - 1373
  - 1374
  - 1377
  scipy.linalg._decomp.eigvals:
  - 896
  - 828
  scipy.linalg._decomp.eigvals_banded:
  - 1033
  - 1119
  scipy.linalg._decomp.eigvalsh:
  - 1024
  - 906
  scipy.linalg._decomp.eigvalsh_tridiagonal:
  - 1200
  - 1126
  scipy.linalg._decomp.hessenberg:
  - 1440
  - 1441
  - 1443
  - 1446
  - 1447
  - 1448
  - 1451
  - 1453
  - 1454
  - 1455
  - 1457
  - 1459
  - 1460
  - 1461
  - 1462
  - 1466
  - 1467
  - 1469
  - 1470
  - 1394
  scipy.linalg._decomp_cholesky:
  - 1
  scipy.linalg._decomp_cholesky._cholesky:
  - 32
  - 33
  - 34
  - 35
  - 38
  - 15
  - 17
  - 18
  - 21
  - 24
  - 29
  - 30
  scipy.linalg._decomp_cholesky.cho_factor:
  - 153
  - 94
  scipy.linalg._decomp_cholesky.cho_solve:
  - 195
  - 196
  - 197
  - 199
  - 200
  - 201
  - 203
  - 206
  - 208
  - 209
  - 210
  - 159
  scipy.linalg._decomp_cholesky.cho_solve_banded:
  - 353
  - 292
  - 338
  - 339
  - 340
  - 342
  - 343
  - 346
  - 349
  - 350
  - 351
  scipy.linalg._decomp_cholesky.cholesky:
  - 88
  - 45
  scipy.linalg._decomp_cholesky.cholesky_banded:
  - 281
  - 276
  - 277
  - 279
  - 217
  - 282
  - 283
  - 285
  scipy.linalg._decomp_cossin.cossin:
  - 128
  - 132
  - 133
  - 135
  - 140
  - 13
  - 144
  - 148
  - 156
  - 158
  - 160
  - 163
  - 172
  - 174
  - 177
  - 180
  - 181
  - 184
  - 185
  - 186
  - 187
  - 188
  - 189
  - 190
  - 191
  - 192
  - 110
  - 111
  - 112
  - 113
  - 114
  - 118
  - 120
  - 124
  scipy.linalg._decomp_ldl._ldl_construct_tri_factor:
  - 353
  - 300
  - 335
  - 339
  - 341
  - 347
  scipy.linalg._decomp_ldl._ldl_get_d_and_l:
  - 288
  - 289
  - 267
  - 268
  - 275
  - 276
  - 244
  - 279
  - 284
  scipy.linalg._decomp_ldl._ldl_sanitize_ipiv:
  - 224
  - 223
  - 229
  - 231
  - 207
  - 208
  - 215
  - 217
  - 159
  scipy.linalg._decomp_ldl.ldl:
  - 130
  - 133
  - 135
  - 136
  - 14
  - 142
  - 143
  - 144
  - 146
  - 151
  - 152
  - 153
  - 122
  - 123
  - 126
  - 127
  scipy.linalg._decomp_lu:
  - 1
  - 14
  scipy.linalg._decomp_lu.lu:
  - 282
  - 283
  - 287
  - 289
  - 293
  - 297
  - 301
  - 302
  - 303
  - 304
  - 307
  - 308
  - 309
  - 310
  - 314
  - 315
  - 316
  - 188
  - 318
  - 319
  - 320
  - 323
  - 324
  - 326
  - 333
  - 334
  - 336
  - 338
  - 339
  - 340
  - 346
  - 348
  - 349
  - 350
  - 351
  - 355
  - 356
  - 357
  - 362
  - 363
  - 364
  - 366
  - 370
  - 371
  scipy.linalg._decomp_lu.lu_factor:
  - 105
  - 106
  - 108
  - 109
  - 110
  - 111
  - 112
  - 115
  - 116
  - 21
  scipy.linalg._decomp_lu.lu_solve:
  - 170
  - 171
  - 173
  - 174
  - 175
  - 178
  - 179
  - 180
  - 122
  scipy.linalg._decomp_polar.polar:
  - 97
  - 99
  - 100
  - 103
  - 104
  - 9
  - 105
  - 107
  - 110
  scipy.linalg._decomp_qr:
  - 1
  scipy.linalg._decomp_qr.qr:
  - 128
  - 129
  - 131
  - 132
  - 135
  - 137
  - 138
  - 139
  - 142
  - 143
  - 146
  - 147
  - 149
  - 151
  - 28
  - 156
  - 158
  - 161
  - 163
  - 164
  - 166
  - 167
  - 171
  - 173
  - 124
  scipy.linalg._decomp_qr.qr_multiply:
  - 258
  - 259
  - 261
  - 262
  - 267
  - 270
  - 271
  - 275
  - 279
  - 282
  - 283
  - 288
  - 289
  - 290
  - 291
  - 294
  - 297
  - 302
  - 304
  - 181
  - 311
  - 315
  - 317
  - 319
  - 320
  - 321
  - 322
  - 255
  scipy.linalg._decomp_qr.rq:
  - 392
  - 396
  - 397
  - 399
  - 400
  - 403
  - 405
  - 406
  - 408
  - 409
  - 411
  - 413
  - 416
  - 418
  - 419
  - 421
  - 422
  - 425
  - 427
  - 328
  scipy.linalg._decomp_qr.safecall:
  - 12
  - 14
  - 15
  - 17
  - 18
  - 19
  - 20
  scipy.linalg._decomp_qz._iuc:
  - 56
  - 52
  scipy.linalg._decomp_qz._lhp:
  - 34
  - 38
  scipy.linalg._decomp_qz._ouc:
  - 66
  - 61
  scipy.linalg._decomp_qz._qz:
  - 128
  - 132
  - 134
  - 139
  - 72
  - 77
  - 80
  - 81
  - 82
  - 84
  - 85
  - 89
  - 93
  - 94
  - 95
  - 98
  - 101
  - 102
  - 103
  - 106
  - 109
  - 110
  - 112
  - 114
  - 116
  - 117
  - 121
  - 125
  - 127
  scipy.linalg._decomp_qz._rhp:
  - 43
  - 47
  scipy.linalg._decomp_qz._select_function:
  - 15
  - 18
  - 20
  - 22
  - 24
  scipy.linalg._decomp_qz.ordqz:
  - 416
  - 417
  - 322
  - 422
  - 423
  - 425
  - 428
  - 442
  - 433
  - 434
  - 435
  - 440
  - 410
  - 415
  scipy.linalg._decomp_qz.qz:
  - 314
  - 147
  scipy.linalg._decomp_schur:
  - 1
  - 186
  - 185
  scipy.linalg._decomp_schur._castCopy:
  - 206
  - 207
  - 208
  - 210
  - 211
  scipy.linalg._decomp_schur._commonType:
  - 200
  - 197
  - 199
  scipy.linalg._decomp_schur.rsf2csf:
  - 288
  - 289
  - 290
  - 293
  - 295
  - 296
  - 297
  - 271
  - 272
  - 274
  - 276
  - 277
  - 280
  - 218
  - 284
  - 285
  - 287
  scipy.linalg._decomp_schur.schur:
  - 128
  - 129
  - 130
  - 133
  - 135
  - 136
  - 137
  - 139
  - 140
  - 142
  - 19
  - 148
  - 150
  - 153
  - 156
  - 159
  - 166
  - 170
  - 172
  - 174
  - 176
  - 179
  - 117
  - 119
  - 120
  - 122
  - 123
  - 124
  - 125
  scipy.linalg._decomp_schur.schur.sfunction:
  - 161
  - 158
  scipy.linalg._decomp_svd:
  - 1
  scipy.linalg._decomp_svd.diagsvd:
  - 236
  - 274
  - 276
  - 277
  - 278
  - 279
  - 280
  scipy.linalg._decomp_svd.null_space:
  - 389
  - 391
  - 392
  - 393
  - 394
  - 395
  - 336
  scipy.linalg._decomp_svd.orth:
  - 288
  - 325
  - 327
  - 328
  - 329
  - 330
  scipy.linalg._decomp_svd.subspace_angles:
  - 482
  - 483
  - 486
  - 487
  - 489
  - 494
  - 495
  - 400
  - 466
  - 467
  - 469
  - 502
  - 472
  - 473
  - 475
  - 478
  scipy.linalg._decomp_svd.svd:
  - 130
  - 132
  - 135
  - 108
  - 109
  - 15
  - 112
  - 114
  - 116
  - 120
  - 123
  - 127
  scipy.linalg._decomp_svd.svdvals:
  - 225
  - 226
  - 227
  - 229
  - 232
  - 142
  scipy.linalg._expm_frechet:
  - 1
  - 131
  scipy.linalg._expm_frechet._diff_pade3:
  - 168
  - 169
  - 170
  - 172
  scipy.linalg._expm_frechet._diff_pade5:
  - 179
  - 180
  - 181
  - 182
  - 183
  - 185
  - 186
  scipy.linalg._expm_frechet._diff_pade7:
  - 193
  - 194
  - 195
  - 196
  - 197
  - 198
  - 199
  - 201
  - 202
  scipy.linalg._expm_frechet._diff_pade9:
  - 210
  - 211
  - 212
  - 213
  - 214
  - 215
  - 216
  - 217
  - 218
  - 220
  - 221
  scipy.linalg._expm_frechet.expm_cond:
  - 355
  - 395
  - 396
  - 398
  - 399
  - 402
  - 403
  - 408
  - 409
  - 410
  scipy.linalg._expm_frechet.expm_frechet:
  - 96
  - 97
  - 98
  - 100
  - 102
  - 104
  - 9
  - 106
  - 107
  - 108
  - 109
  - 112
  - 92
  - 93
  - 94
  scipy.linalg._expm_frechet.expm_frechet_algo_64:
  - 261
  - 262
  - 263
  - 268
  - 269
  - 270
  - 272
  - 273
  - 274
  - 276
  - 277
  - 278
  - 229
  - 230
  - 236
  - 237
  - 238
  - 241
  - 243
  - 247
  - 248
  - 249
  - 250
  - 251
  - 252
  scipy.linalg._expm_frechet.expm_frechet_block_enlarge:
  - 119
  - 124
  - 125
  - 126
  - 127
  scipy.linalg._expm_frechet.expm_frechet_kronform:
  - 335
  - 336
  - 303
  - 338
  - 339
  - 343
  - 345
  - 346
  - 347
  - 348
  - 350
  - 351
  scipy.linalg._expm_frechet.vec:
  - 299
  - 283
  scipy.linalg._interpolative_backend:
  - 37
  - 30
  scipy.linalg._interpolative_backend._asfortranarray_copy:
  - 41
  - 44
  - 45
  - 46
  - 48
  scipy.linalg._interpolative_backend.id_srand:
  - 57
  - 69
  scipy.linalg._interpolative_backend.id_srandi:
  - 81
  - 73
  - 82
  scipy.linalg._interpolative_backend.id_srando:
  - 89
  - 86
  scipy.linalg._interpolative_backend.idd_copycols:
  - 312
  - 294
  - 311
  scipy.linalg._interpolative_backend.idd_diffsnorm:
  - 425
  - 387
  scipy.linalg._interpolative_backend.idd_estrank:
  - 545
  - 547
  - 548
  - 549
  - 528
  scipy.linalg._interpolative_backend.idd_findrank:
  - 662
  - 661
  - 638
  scipy.linalg._interpolative_backend.idd_frm:
  - 97
  - 122
  scipy.linalg._interpolative_backend.idd_frmi:
  - 169
  - 155
  scipy.linalg._interpolative_backend.idd_id2svd:
  - 320
  - 345
  - 344
  - 343
  scipy.linalg._interpolative_backend.idd_reconid:
  - 268
  - 269
  - 270
  - 272
  - 251
  scipy.linalg._interpolative_backend.idd_reconint:
  - 290
  - 276
  scipy.linalg._interpolative_backend.idd_sfrm:
  - 126
  - 151
  scipy.linalg._interpolative_backend.idd_sfrmi:
  - 173
  - 190
  scipy.linalg._interpolative_backend.idd_snorm:
  - 355
  - 382
  scipy.linalg._interpolative_backend.iddp_aid:
  - 518
  - 520
  - 521
  - 522
  - 523
  - 497
  scipy.linalg._interpolative_backend.iddp_asvd:
  - 579
  - 581
  - 582
  - 583
  - 586
  - 587
  - 589
  - 558
  - 590
  scipy.linalg._interpolative_backend.iddp_id:
  - 218
  - 219
  - 221
  - 198
  scipy.linalg._interpolative_backend.iddp_rid:
  - 629
  - 630
  - 631
  - 600
  - 633
  scipy.linalg._interpolative_backend.iddp_rsvd:
  - 672
  - 706
  - 707
  - 709
  - 710
  scipy.linalg._interpolative_backend.iddp_svd:
  - 481
  - 483
  - 484
  - 486
  - 487
  - 461
  scipy.linalg._interpolative_backend.iddr_aid:
  - 737
  - 739
  - 740
  - 741
  - 742
  - 744
  - 720
  scipy.linalg._interpolative_backend.iddr_aidi:
  - 749
  - 766
  scipy.linalg._interpolative_backend.iddr_asvd:
  - 800
  - 774
  - 794
  - 796
  - 797
  - 799
  scipy.linalg._interpolative_backend.iddr_id:
  - 226
  - 243
  - 244
  - 246
  scipy.linalg._interpolative_backend.iddr_rid:
  - 810
  - 836
  - 837
  scipy.linalg._interpolative_backend.iddr_rsvd:
  - 880
  - 881
  - 846
  scipy.linalg._interpolative_backend.iddr_svd:
  - 433
  - 453
  - 454
  - 455
  scipy.linalg._interpolative_backend.idz_copycols:
  - 1088
  - 1105
  - 1106
  scipy.linalg._interpolative_backend.idz_diffsnorm:
  - 1219
  - 1181
  scipy.linalg._interpolative_backend.idz_estrank:
  - 1322
  - 1339
  - 1341
  - 1342
  - 1343
  scipy.linalg._interpolative_backend.idz_findrank:
  - 1458
  - 1457
  - 1434
  scipy.linalg._interpolative_backend.idz_frm:
  - 891
  - 916
  scipy.linalg._interpolative_backend.idz_frmi:
  - 963
  - 949
  scipy.linalg._interpolative_backend.idz_id2svd:
  - 1137
  - 1114
  - 1139
  - 1138
  scipy.linalg._interpolative_backend.idz_reconid:
  - 1062
  - 1063
  - 1064
  - 1066
  - 1045
  scipy.linalg._interpolative_backend.idz_reconint:
  - 1084
  - 1070
  scipy.linalg._interpolative_backend.idz_sfrm:
  - 920
  - 945
  scipy.linalg._interpolative_backend.idz_sfrmi:
  - 984
  - 967
  scipy.linalg._interpolative_backend.idz_snorm:
  - 1176
  - 1149
  scipy.linalg._interpolative_backend.idzp_aid:
  - 1312
  - 1314
  - 1315
  - 1316
  - 1317
  - 1291
  scipy.linalg._interpolative_backend.idzp_asvd:
  - 1376
  - 1377
  - 1380
  - 1381
  - 1383
  - 1352
  - 1384
  - 1373
  - 1375
  scipy.linalg._interpolative_backend.idzp_id:
  - 992
  - 1012
  - 1013
  - 1015
  scipy.linalg._interpolative_backend.idzp_rid:
  - 1423
  - 1424
  - 1394
  - 1427
  - 1426
  - 1429
  scipy.linalg._interpolative_backend.idzp_rsvd:
  - 1505
  - 1506
  - 1468
  - 1502
  - 1503
  scipy.linalg._interpolative_backend.idzp_svd:
  - 1280
  - 1281
  - 1255
  - 1275
  - 1277
  - 1278
  scipy.linalg._interpolative_backend.idzr_aid:
  - 1536
  - 1537
  - 1538
  - 1540
  - 1516
  - 1533
  - 1535
  scipy.linalg._interpolative_backend.idzr_aidi:
  - 1545
  - 1562
  scipy.linalg._interpolative_backend.idzr_asvd:
  - 1570
  - 1590
  - 1592
  - 1595
  - 1597
  - 1598
  scipy.linalg._interpolative_backend.idzr_id:
  - 1040
  - 1020
  - 1037
  - 1038
  scipy.linalg._interpolative_backend.idzr_rid:
  - 1608
  - 1634
  - 1635
  scipy.linalg._interpolative_backend.idzr_rsvd:
  - 1644
  - 1678
  - 1679
  scipy.linalg._interpolative_backend.idzr_svd:
  - 1248
  - 1249
  - 1227
  - 1247
  scipy.linalg._matfuncs:
  - 28
  - 29
  scipy.linalg._matfuncs._asarray_square:
  - 56
  - 57
  - 39
  scipy.linalg._matfuncs._exp_sinch:
  - 393
  - 394
  - 397
  scipy.linalg._matfuncs._maybe_real:
  - 88
  - 89
  - 91
  - 63
  scipy.linalg._matfuncs.coshm:
  - 521
  - 555
  - 556
  scipy.linalg._matfuncs.cosm:
  - 434
  - 402
  - 435
  - 436
  - 438
  scipy.linalg._matfuncs.expm:
  - 384
  - 284
  - 285
  - 286
  - 288
  - 290
  - 294
  - 295
  - 298
  - 299
  - 301
  - 302
  - 303
  - 304
  - 308
  - 313
  - 315
  - 317
  - 318
  - 320
  - 321
  - 326
  - 332
  - 334
  - 337
  - 340
  - 341
  - 342
  - 218
  - 348
  - 350
  - 353
  - 356
  - 358
  - 361
  - 363
  - 365
  - 367
  - 371
  - 372
  - 373
  - 374
  - 376
  - 379
  - 383
  scipy.linalg._matfuncs.fractional_matrix_power:
  - 101
  - 141
  - 143
  scipy.linalg._matfuncs.funm:
  - 700
  - 702
  - 703
  - 705
  - 706
  - 708
  - 712
  - 713
  - 716
  - 717
  - 720
  - 723
  - 725
  - 726
  - 729
  - 731
  - 732
  - 734
  - 735
  - 736
  - 638
  scipy.linalg._matfuncs.khatri_rao:
  - 871
  - 872
  - 874
  - 877
  - 883
  - 823
  scipy.linalg._matfuncs.logm:
  - 201
  - 204
  - 205
  - 208
  - 209
  - 210
  - 147
  - 211
  scipy.linalg._matfuncs.signm:
  - 800
  - 804
  - 806
  - 775
  - 743
  - 807
  - 809
  - 810
  - 811
  - 814
  - 815
  - 784
  - 816
  - 786
  - 799
  scipy.linalg._matfuncs.signm.rounded_sign:
  - 778
  - 779
  - 780
  - 782
  - 783
  scipy.linalg._matfuncs.sinhm:
  - 560
  - 594
  - 595
  scipy.linalg._matfuncs.sinm:
  - 442
  - 474
  - 475
  - 476
  - 478
  scipy.linalg._matfuncs.tanhm:
  - 633
  - 634
  - 599
  scipy.linalg._matfuncs.tanm:
  - 482
  - 516
  - 517
  scipy.linalg._matfuncs_inv_ssq:
  - 1
  scipy.linalg._matfuncs_inv_ssq._MatrixM1PowerOperator:
  - 40
  scipy.linalg._matfuncs_inv_ssq._MatrixM1PowerOperator.__init__:
  - 45
  - 47
  scipy.linalg._matfuncs_inv_ssq._MatrixM1PowerOperator._adjoint:
  - 70
  scipy.linalg._matfuncs_inv_ssq._MatrixM1PowerOperator._matmat:
  - 65
  - 66
  scipy.linalg._matfuncs_inv_ssq._MatrixM1PowerOperator._matvec:
  - 56
  - 55
  scipy.linalg._matfuncs_inv_ssq._MatrixM1PowerOperator._rmatvec:
  - 60
  - 61
  scipy.linalg._matfuncs_inv_ssq._briggs_helper_function:
  - 192
  - 193
  - 196
  - 197
  - 200
  - 202
  - 203
  - 155
  - 188
  - 190
  scipy.linalg._matfuncs_inv_ssq._fractional_matrix_power:
  - 672
  - 678
  - 679
  - 681
  - 682
  - 684
  - 688
  - 692
  - 693
  - 694
  - 695
  - 698
  - 701
  - 702
  - 703
  - 708
  - 709
  - 710
  - 713
  - 714
  - 716
  - 717
  - 718
  scipy.linalg._matfuncs_inv_ssq._fractional_matrix_power.<lambda1>:
  - 716
  scipy.linalg._matfuncs_inv_ssq._fractional_power_pade:
  - 512
  - 498
  - 468
  - 500
  - 502
  - 503
  - 506
  - 507
  - 508
  - 509
  - 510
  scipy.linalg._matfuncs_inv_ssq._fractional_power_pade_constant:
  - 451
  - 453
  - 455
  - 457
  - 460
  scipy.linalg._matfuncs_inv_ssq._fractional_power_superdiag_entry:
  - 256
  - 260
  - 210
  - 244
  - 246
  - 251
  - 252
  - 253
  - 254
  - 255
  scipy.linalg._matfuncs_inv_ssq._inverse_squaring_helper:
  - 384
  - 385
  - 386
  - 388
  - 389
  - 393
  - 394
  - 395
  - 396
  - 397
  - 398
  - 399
  - 402
  - 404
  - 407
  - 408
  - 409
  - 410
  - 411
  - 414
  - 416
  - 422
  - 429
  - 430
  - 431
  - 433
  - 435
  - 436
  - 440
  - 313
  - 444
  - 358
  - 368
  - 369
  - 371
  - 372
  - 376
  - 377
  scipy.linalg._matfuncs_inv_ssq._logm:
  - 841
  - 857
  - 858
  - 862
  - 863
  - 865
  - 867
  - 868
  - 869
  - 870
  - 871
  - 873
  - 874
  - 875
  - 876
  - 878
  - 879
  - 880
  - 881
  - 882
  - 884
  - 885
  scipy.linalg._matfuncs_inv_ssq._logm_force_nonsingular_triangular_matrix:
  - 832
  - 834
  - 836
  - 824
  - 825
  - 827
  - 828
  - 829
  - 831
  scipy.linalg._matfuncs_inv_ssq._logm_superdiag_entry:
  - 266
  - 298
  - 300
  - 301
  - 304
  - 305
  - 306
  - 308
  scipy.linalg._matfuncs_inv_ssq._logm_triu:
  - 768
  - 777
  - 784
  - 786
  - 790
  - 791
  - 792
  - 793
  - 794
  - 799
  - 800
  - 803
  - 808
  - 812
  - 815
  - 722
  - 756
  - 757
  - 763
  - 764
  - 765
  scipy.linalg._matfuncs_inv_ssq._onenormest_m1_power:
  - 76
  - 111
  scipy.linalg._matfuncs_inv_ssq._remainder_matrix_power:
  - 641
  - 642
  - 643
  - 644
  - 646
  - 650
  - 651
  - 658
  - 659
  - 628
  - 629
  - 597
  - 663
  - 664
  - 665
  - 666
  - 637
  scipy.linalg._matfuncs_inv_ssq._remainder_matrix_power_triu:
  - 576
  - 577
  - 578
  - 579
  - 580
  - 518
  - 582
  - 583
  - 584
  - 585
  - 589
  - 591
  - 560
  - 561
  - 562
  - 564
  - 569
  scipy.linalg._matfuncs_inv_ssq._unwindk:
  - 116
  - 151
  scipy.linalg._matfuncs_sqrtm:
  - 1
  scipy.linalg._matfuncs_sqrtm._sqrtm_triu:
  - 28
  - 53
  - 54
  - 57
  - 58
  - 59
  - 61
  - 62
  - 64
  - 68
  - 72
  - 75
  - 81
  - 82
  - 83
  - 88
  - 93
  - 95
  - 98
  - 99
  - 107
  - 108
  - 110
  scipy.linalg._matfuncs_sqrtm.sqrtm:
  - 166
  - 167
  - 168
  - 170
  - 172
  - 173
  - 174
  - 175
  - 176
  - 178
  - 181
  - 182
  - 183
  - 184
  - 186
  - 190
  - 191
  - 193
  - 196
  - 197
  - 199
  - 200
  - 201
  - 205
  - 118
  scipy.linalg._misc.LinAlgWarning:
  - 10
  scipy.linalg._misc._datacopied:
  - 187
  - 189
  - 182
  scipy.linalg._misc.norm:
  - 145
  - 18
  - 146
  - 148
  - 150
  - 152
  - 154
  - 155
  - 157
  - 163
  - 164
  - 166
  - 168
  - 169
  - 171
  - 173
  - 174
  - 175
  - 178
  scipy.linalg._procrustes:
  - 1
  scipy.linalg._procrustes.orthogonal_procrustes:
  - 76
  - 77
  - 13
  - 78
  - 80
  - 81
  - 82
  - 84
  - 87
  - 88
  - 89
  scipy.linalg._sketches:
  - 1
  scipy.linalg._sketches.clarkson_woodruff_transform:
  - 57
  - 178
  - 179
  scipy.linalg._sketches.cwt_matrix:
  - 15
  - 48
  - 49
  - 50
  - 51
  - 52
  scipy.linalg._solvers:
  - 1
  scipy.linalg._solvers._are_validate_args:
  - 780
  - 784
  - 785
  - 786
  - 787
  - 791
  - 793
  - 794
  - 797
  - 802
  - 804
  - 806
  - 810
  - 811
  - 816
  - 817
  - 818
  - 825
  - 826
  - 827
  - 828
  - 830
  - 834
  - 835
  - 837
  - 839
  - 840
  - 841
  - 843
  - 742
  scipy.linalg._solvers._solve_discrete_lyapunov_bilinear:
  - 227
  - 228
  - 229
  - 230
  - 231
  - 232
  - 221
  scipy.linalg._solvers._solve_discrete_lyapunov_direct:
  - 206
  - 213
  - 214
  - 215
  - 217
  scipy.linalg._solvers.solve_continuous_are:
  - 514
  - 515
  - 520
  - 521
  - 522
  - 523
  - 525
  - 529
  - 447
  - 450
  - 455
  - 328
  - 457
  - 458
  - 461
  - 462
  - 464
  - 466
  - 469
  - 470
  - 471
  - 473
  - 476
  - 478
  - 481
  - 486
  - 487
  - 488
  - 493
  - 498
  - 499
  - 504
  - 505
  - 509
  - 510
  - 511
  scipy.linalg._solvers.solve_continuous_lyapunov:
  - 160
  - 191
  - 192
  - 164
  - 165
  - 198
  - 168
  - 172
  - 110
  - 176
  - 179
  - 182
  - 185
  - 187
  - 159
  scipy.linalg._solvers.solve_discrete_are:
  - 654
  - 658
  - 533
  - 662
  - 664
  - 667
  - 668
  - 669
  - 670
  - 672
  - 675
  - 676
  - 677
  - 679
  - 682
  - 684
  - 687
  - 692
  - 693
  - 694
  - 699
  - 706
  - 707
  - 712
  - 714
  - 718
  - 719
  - 720
  - 723
  - 724
  - 729
  - 730
  - 731
  - 732
  - 734
  - 738
  scipy.linalg._solvers.solve_discrete_lyapunov:
  - 320
  - 236
  - 306
  - 307
  - 308
  - 310
  - 315
  - 317
  - 318
  - 319
  scipy.linalg._solvers.solve_sylvester:
  - 98
  - 102
  - 106
  - 85
  - 95
  - 88
  - 91
  - 94
  - 31
  scipy.linalg._special_matrices.block_diag:
  - 419
  - 420
  - 421
  - 424
  - 410
  - 412
  - 349
  - 414
  - 415
  scipy.linalg._special_matrices.circulant:
  - 81
  - 113
  - 115
  - 116
  - 118
  scipy.linalg._special_matrices.companion:
  - 481
  - 484
  - 489
  - 491
  - 432
  - 475
  - 477
  scipy.linalg._special_matrices.convolution_matrix:
  - 1248
  - 1249
  - 1250
  - 1252
  - 1253
  - 1225
  - 1257
  - 1228
  - 1229
  - 1232
  - 1235
  - 1078
  - 1240
  - 1241
  - 1243
  - 1244
  - 1247
  scipy.linalg._special_matrices.dft:
  - 909
  - 913
  - 914
  - 915
  - 852
  - 916
  - 917
  scipy.linalg._special_matrices.fiedler:
  - 992
  - 993
  - 994
  - 996
  - 986
  - 923
  - 988
  - 991
  scipy.linalg._special_matrices.fiedler_companion:
  - 1056
  - 1057
  - 1058
  - 1060
  - 1000
  - 1065
  - 1067
  - 1068
  - 1070
  - 1071
  - 1050
  - 1052
  - 1055
  scipy.linalg._special_matrices.hadamard:
  - 226
  - 229
  - 230
  - 179
  - 218
  - 221
  - 222
  scipy.linalg._special_matrices.hankel:
  - 164
  - 165
  - 166
  - 168
  - 171
  - 173
  - 175
  - 122
  scipy.linalg._special_matrices.helmert:
  - 496
  - 529
  - 530
  - 533
  - 534
  scipy.linalg._special_matrices.hilbert:
  - 573
  - 541
  - 574
  scipy.linalg._special_matrices.invhilbert:
  - 642
  - 579
  - 643
  - 644
  - 647
  - 648
  - 649
  - 650
  - 635
  - 636
  scipy.linalg._special_matrices.invpascal:
  - 834
  - 742
  - 839
  - 840
  - 843
  - 846
  - 815
  - 818
  - 819
  - 820
  - 826
  - 827
  - 828
  - 830
  - 831
  scipy.linalg._special_matrices.kron:
  - 339
  - 308
  - 341
  - 342
  - 340
  - 344
  - 345
  - 343
  scipy.linalg._special_matrices.leslie:
  - 288
  - 289
  - 291
  - 293
  - 296
  - 236
  - 301
  - 303
  - 287
  scipy.linalg._special_matrices.pascal:
  - 736
  - 716
  - 719
  - 656
  - 721
  - 720
  - 722
  - 724
  - 725
  - 726
  - 727
  - 729
  - 731
  - 733
  scipy.linalg._special_matrices.toeplitz:
  - 67
  - 68
  - 69
  - 71
  - 74
  - 75
  - 77
  - 18
  scipy.linalg._testutils._get_array:
  - 32
  - 33
  - 39
  - 40
  - 19
  - 24
  - 26
  - 30
  scipy.linalg._testutils.assert_no_overwrite:
  - 48
  - 52
  - 55
  - 56
  - 57
  - 58
  - 59
  - 60
  - 62
  - 63
  scipy.linalg.basic.__getattr__:
  - 22
  scipy.linalg.blas:
  - 1
  - 239
  - 243
  - 246
  - 247
  - 248
  - 249
  scipy.linalg.blas._get_funcs:
  - 353
  - 354
  - 356
  - 357
  - 359
  - 330
  - 364
  - 365
  - 367
  - 369
  - 338
  - 371
  - 342
  - 346
  - 348
  - 351
  scipy.linalg.blas._memoize_get_funcs:
  - 384
  - 378
  scipy.linalg.blas._memoize_get_funcs.getter:
  - 387
  - 392
  - 398
  - 401
  - 403
  scipy.linalg.blas.find_best_blas_type:
  - 321
  - 260
  - 297
  - 298
  - 301
  - 303
  - 304
  - 308
  - 309
  - 310
  - 312
  - 315
  scipy.linalg.blas.get_blas_funcs:
  - 482
  - 468
  - 469
  - 474
  - 475
  - 413
  - 479
  scipy.linalg.decomp.__getattr__:
  - 23
  scipy.linalg.decomp_cholesky.__getattr__:
  - 20
  scipy.linalg.decomp_lu.__getattr__:
  - 19
  scipy.linalg.decomp_qr.__getattr__:
  - 18
  scipy.linalg.decomp_schur.__getattr__:
  - 19
  scipy.linalg.decomp_svd.__getattr__:
  - 19
  scipy.linalg.interpolative:
  - 32
  - 408
  - 406
  - 407
  scipy.linalg.interpolative._is_real:
  - 417
  - 415
  scipy.linalg.interpolative.estimate_rank:
  - 996
  - 966
  - 999
  - 1000
  - 998
  - 1002
  - 1003
  - 1005
  - 1007
  - 1010
  - 1011
  - 1013
  scipy.linalg.interpolative.estimate_spectral_norm:
  - 804
  - 805
  - 807
  - 777
  - 798
  scipy.linalg.interpolative.estimate_spectral_norm.matvec:
  - 801
  scipy.linalg.interpolative.estimate_spectral_norm.matveca:
  - 803
  scipy.linalg.interpolative.estimate_spectral_norm_diff:
  - 836
  - 837
  - 811
  - 847
  - 848
  - 851
  scipy.linalg.interpolative.estimate_spectral_norm_diff.matvec1:
  - 840
  scipy.linalg.interpolative.estimate_spectral_norm_diff.matvec2:
  - 844
  scipy.linalg.interpolative.estimate_spectral_norm_diff.matveca1:
  - 842
  scipy.linalg.interpolative.estimate_spectral_norm_diff.matveca2:
  - 846
  scipy.linalg.interpolative.id_to_svd:
  - 736
  - 769
  - 770
  - 772
  scipy.linalg.interpolative.interp_decomp:
  - 562
  - 564
  - 565
  - 567
  - 568
  - 569
  - 571
  - 573
  - 575
  - 576
  - 578
  - 581
  - 582
  - 583
  - 584
  - 586
  - 588
  - 590
  - 591
  - 593
  - 595
  - 598
  - 600
  - 601
  - 603
  - 605
  - 608
  - 609
  - 610
  - 612
  - 486
  - 614
  scipy.linalg.interpolative.rand:
  - 482
  - 468
  scipy.linalg.interpolative.reconstruct_interp_matrix:
  - 657
  - 690
  - 689
  - 692
  scipy.linalg.interpolative.reconstruct_matrix_from_id:
  - 650
  - 651
  - 621
  - 653
  scipy.linalg.interpolative.reconstruct_skel_matrix:
  - 696
  - 729
  - 730
  - 732
  scipy.linalg.interpolative.seed:
  - 451
  - 452
  - 453
  - 454
  - 455
  - 457
  - 426
  - 459
  - 460
  - 461
  - 463
  - 464
  scipy.linalg.interpolative.svd:
  - 904
  - 906
  - 907
  - 909
  - 910
  - 911
  - 913
  - 915
  - 917
  - 918
  - 920
  - 922
  - 923
  - 926
  - 927
  - 928
  - 930
  - 932
  - 934
  - 935
  - 937
  - 938
  - 944
  - 946
  - 947
  - 949
  - 951
  - 953
  - 954
  - 955
  - 957
  - 959
  - 856
  scipy.linalg.interpolative.svd.matvec:
  - 941
  scipy.linalg.interpolative.svd.matveca:
  - 943
  scipy.linalg.lapack:
  - 1
  - 872
  - 875
  - 876
  - 877
  - 978
  - 979
  - 860
  - 861
  scipy.linalg.lapack._check_work_float:
  - 1026
  - 1028
  - 1029
  - 1030
  - 1034
  - 1035
  - 1018
  - 1023
  scipy.linalg.lapack._compute_lwork:
  - 1003
  - 1004
  - 1005
  - 1006
  - 1010
  - 1011
  - 1013
  - 983
  scipy.linalg.lapack.backtickrepl:
  - 865
  - 866
  - 867
  - 869
  scipy.linalg.lapack.get_lapack_funcs:
  - 963
  - 964
  - 969
  - 972
  - 886
  - 957
  - 958
  scipy.linalg.matfuncs.__getattr__:
  - 23
  scipy.linalg.misc.__getattr__:
  - 19
  scipy.linalg.special_matrices.__getattr__:
  - 20
  scipy.misc:
  - 1
  - 66
  scipy.misc.__getattr__:
  - 49
  - 58
  - 44
  - 60
  scipy.misc._common:
  - 1
  - 129
  - 235
  - 79
  - 15
  - 178
  scipy.misc._common.ascent:
  - 174
  - 172
  - 173
  - 134
  scipy.misc._common.central_diff_weights:
  - 76
  - 21
  scipy.misc._common.derivative:
  - 85
  - 126
  scipy.misc._common.electrocardiogram:
  - 241
  - 339
  - 340
  - 341
  scipy.misc._common.face:
  - 224
  - 225
  - 226
  - 228
  - 229
  - 183
  - 223
  scipy.misc.common.__getattr__:
  - 18
  scipy.misc.doccer.__getattr__:
  - 40
  - 43
  - 18
  - 24
  - 26
  scipy.ndimage:
  - 168
  - 1
  - 165
  scipy.ndimage._filters._complex_via_real_components:
  - 64
  - 65
  - 67
  - 68
  - 69
  - 70
  - 71
  - 72
  - 74
  - 77
  - 80
  - 81
  - 57
  - 60
  - 62
  - 63
  scipy.ndimage._filters._correlate_or_convolve:
  - 769
  - 770
  - 772
  - 774
  - 775
  - 776
  - 778
  - 780
  - 781
  - 786
  - 787
  - 788
  - 789
  - 790
  - 793
  - 794
  - 796
  - 797
  - 798
  - 753
  - 754
  - 757
  - 758
  - 760
  - 761
  - 764
  - 766
  scipy.ndimage._filters._gaussian_kernel1d:
  - 192
  - 194
  - 195
  - 196
  - 198
  - 206
  - 208
  - 209
  - 211
  - 212
  - 213
  - 187
  - 190
  scipy.ndimage._filters._min_or_max_filter:
  - 1280
  - 1281
  - 1283
  - 1284
  - 1285
  - 1286
  - 1288
  - 1289
  - 1291
  - 1293
  - 1294
  - 1295
  - 1299
  - 1300
  - 1302
  - 1216
  - 1217
  - 1219
  - 1220
  - 1221
  - 1225
  - 1226
  - 1228
  - 1235
  - 1237
  - 1238
  - 1240
  - 1241
  - 1242
  - 1244
  - 1245
  - 1246
  - 1249
  - 1250
  - 1251
  - 1252
  - 1253
  - 1254
  - 1255
  - 1257
  - 1258
  - 1262
  - 1263
  - 1264
  - 1269
  - 1270
  - 1271
  - 1273
  - 1275
  - 1278
  scipy.ndimage._filters._rank_filter:
  - 1408
  - 1409
  - 1411
  - 1412
  - 1414
  - 1415
  - 1416
  - 1417
  - 1418
  - 1420
  - 1421
  - 1423
  - 1424
  - 1427
  - 1431
  - 1433
  - 1435
  - 1440
  - 1442
  - 1444
  - 1447
  - 1449
  - 1450
  - 1452
  - 1453
  - 1454
  - 1455
  - 1457
  - 1459
  - 1461
  - 1463
  - 1466
  - 1467
  - 1469
  - 1471
  - 1472
  - 1474
  - 1475
  - 1478
  - 1479
  - 1480
  - 1483
  - 1484
  - 1488
  - 1489
  - 1491
  scipy.ndimage._filters.convolve:
  - 975
  - 871
  scipy.ndimage._filters.convolve1d:
  - 177
  - 179
  - 180
  - 148
  - 182
  - 183
  scipy.ndimage._filters.correlate:
  - 864
  - 807
  scipy.ndimage._filters.correlate1d:
  - 128
  - 129
  - 130
  - 132
  - 133
  - 134
  - 135
  - 139
  - 140
  - 88
  - 115
  - 116
  - 119
  - 120
  - 121
  - 122
  - 123
  - 124
  - 125
  scipy.ndimage._filters.gaussian_filter:
  - 384
  - 385
  - 290
  - 372
  - 373
  - 375
  - 376
  - 377
  - 378
  - 379
  - 380
  - 382
  - 383
  scipy.ndimage._filters.gaussian_filter1d:
  - 274
  - 276
  - 277
  - 279
  - 282
  - 283
  - 220
  scipy.ndimage._filters.gaussian_gradient_magnitude:
  - 705
  - 738
  - 746
  scipy.ndimage._filters.gaussian_gradient_magnitude.derivative:
  - 743
  scipy.ndimage._filters.gaussian_laplace:
  - 644
  - 636
  - 599
  scipy.ndimage._filters.gaussian_laplace.derivative2:
  - 641
  scipy.ndimage._filters.generic_filter:
  - 1824
  - 1825
  - 1827
  - 1829
  - 1830
  - 1832
  - 1833
  - 1834
  - 1836
  - 1837
  - 1839
  - 1841
  - 1843
  - 1844
  - 1846
  - 1847
  - 1848
  - 1849
  - 1850
  - 1728
  scipy.ndimage._filters.generic_filter1d:
  - 1640
  - 1705
  - 1707
  - 1708
  - 1710
  - 1711
  - 1713
  - 1714
  - 1717
  - 1718
  scipy.ndimage._filters.generic_gradient_magnitude:
  - 680
  - 682
  - 683
  - 684
  - 653
  - 685
  - 686
  - 687
  - 689
  - 690
  - 691
  - 693
  - 696
  scipy.ndimage._filters.generic_laplace:
  - 545
  - 546
  - 547
  - 548
  - 549
  - 518
  - 550
  - 552
  - 553
  - 543
  scipy.ndimage._filters.laplace:
  - 593
  - 563
  scipy.ndimage._filters.laplace.derivative2:
  - 592
  scipy.ndimage._filters.maximum_filter:
  - 1400
  - 1359
  scipy.ndimage._filters.maximum_filter1d:
  - 1160
  - 1199
  - 1200
  - 1202
  - 1203
  - 1205
  - 1206
  - 1208
  - 1209
  scipy.ndimage._filters.median_filter:
  - 1544
  - 1588
  scipy.ndimage._filters.minimum_filter:
  - 1352
  - 1311
  scipy.ndimage._filters.minimum_filter1d:
  - 1152
  - 1103
  - 1142
  - 1143
  - 1145
  - 1146
  - 1148
  - 1149
  - 1151
  scipy.ndimage._filters.percentile_filter:
  - 1632
  - 1596
  scipy.ndimage._filters.prewitt:
  - 448
  - 449
  - 450
  - 451
  - 395
  - 444
  - 445
  - 446
  - 447
  scipy.ndimage._filters.rank_filter:
  - 1536
  - 1537
  - 1500
  scipy.ndimage._filters.sobel:
  - 457
  - 502
  - 503
  - 504
  - 505
  - 506
  - 507
  - 508
  - 509
  scipy.ndimage._filters.uniform_filter:
  - 1089
  - 1090
  - 1091
  - 1092
  - 1033
  - 1080
  - 1081
  - 1083
  - 1084
  - 1085
  - 1086
  - 1087
  scipy.ndimage._filters.uniform_filter1d:
  - 1024
  - 1025
  - 1026
  - 1009
  - 1010
  - 1011
  - 982
  - 1014
  - 1016
  - 1018
  - 1019
  - 1020
  - 1023
  scipy.ndimage._fourier._get_output_fourier:
  - 41
  - 42
  - 44
  - 46
  - 47
  - 48
  - 51
  - 52
  scipy.ndimage._fourier._get_output_fourier_complex:
  - 64
  - 66
  - 67
  - 58
  - 59
  - 60
  - 62
  - 63
  scipy.ndimage._fourier.fourier_ellipsoid:
  - 237
  - 238
  - 240
  - 241
  - 245
  - 246
  - 247
  - 248
  - 249
  - 250
  - 188
  scipy.ndimage._fourier.fourier_gaussian:
  - 73
  - 118
  - 119
  - 120
  - 121
  - 122
  - 123
  - 124
  - 126
  scipy.ndimage._fourier.fourier_shift:
  - 299
  - 300
  - 301
  - 302
  - 303
  - 304
  - 305
  - 306
  - 255
  scipy.ndimage._fourier.fourier_uniform:
  - 131
  - 176
  - 177
  - 178
  - 179
  - 180
  - 181
  - 182
  - 183
  scipy.ndimage._interpolation._prepad_for_spline_filter:
  - 212
  - 214
  - 215
  - 217
  - 218
  scipy.ndimage._interpolation.affine_transform:
  - 562
  - 564
  - 565
  - 566
  - 570
  - 572
  - 573
  - 575
  - 576
  - 578
  - 579
  - 580
  - 581
  - 583
  - 584
  - 585
  - 590
  - 591
  - 592
  - 594
  - 596
  - 598
  - 599
  - 606
  - 608
  - 481
  - 610
  - 611
  - 612
  - 613
  - 614
  - 616
  - 617
  - 618
  - 619
  - 625
  - 628
  scipy.ndimage._interpolation.geometric_transform:
  - 352
  - 353
  - 354
  - 357
  - 358
  - 359
  - 232
  - 364
  - 365
  - 336
  - 338
  - 339
  - 341
  - 343
  - 344
  - 346
  - 347
  - 351
  scipy.ndimage._interpolation.map_coordinates:
  - 443
  - 445
  - 446
  - 447
  - 450
  - 452
  - 454
  - 455
  - 457
  - 458
  - 459
  - 460
  - 461
  - 462
  - 464
  - 465
  - 466
  - 471
  - 472
  - 374
  scipy.ndimage._interpolation.rotate:
  - 940
  - 943
  - 946
  - 948
  - 951
  - 954
  - 956
  - 958
  - 961
  - 963
  - 965
  - 968
  - 970
  - 976
  - 986
  - 988
  - 989
  - 992
  - 993
  - 998
  - 999
  - 1000
  - 1002
  - 1004
  - 877
  - 1007
  scipy.ndimage._interpolation.shift:
  - 707
  - 709
  - 710
  - 712
  - 713
  - 715
  - 719
  - 720
  - 722
  - 725
  - 726
  - 727
  - 732
  - 733
  - 735
  - 736
  - 737
  - 738
  - 637
  scipy.ndimage._interpolation.spline_filter:
  - 192
  - 194
  - 195
  - 196
  - 198
  - 199
  - 200
  - 137
  - 202
  - 203
  - 204
  scipy.ndimage._interpolation.spline_filter1d:
  - 128
  - 130
  - 131
  - 132
  - 50
  - 117
  - 119
  - 120
  - 121
  - 123
  - 124
  - 125
  - 127
  scipy.ndimage._interpolation.zoom:
  - 814
  - 816
  - 817
  - 819
  - 820
  - 821
  - 822
  - 823
  - 825
  - 829
  - 830
  - 832
  - 835
  - 836
  - 837
  - 842
  - 845
  - 847
  - 849
  - 850
  - 851
  - 855
  - 857
  - 858
  - 859
  - 865
  - 866
  - 868
  - 869
  - 746
  scipy.ndimage._measurements._safely_castable_to_int:
  - 584
  - 585
  - 582
  - 583
  scipy.ndimage._measurements._select:
  - 917
  - 920
  - 924
  - 925
  - 941
  - 942
  - 945
  - 947
  - 950
  - 952
  - 954
  - 957
  - 959
  - 963
  - 964
  - 966
  - 967
  - 974
  - 975
  - 977
  - 979
  - 980
  - 982
  - 983
  - 984
  - 985
  - 986
  - 989
  - 990
  - 993
  - 994
  - 997
  - 998
  - 1001
  - 1002
  - 1005
  - 1006
  - 1007
  - 1009
  - 1020
  - 1021
  - 1023
  scipy.ndimage._measurements._select.single_group:
  - 929
  - 930
  - 931
  - 932
  - 933
  - 934
  - 935
  - 936
  - 937
  - 938
  scipy.ndimage._measurements._stats:
  - 654
  - 655
  - 659
  - 660
  - 661
  - 662
  - 663
  - 667
  - 668
  - 675
  - 676
  - 677
  - 678
  - 680
  - 689
  - 590
  - 627
  - 628
  - 631
  - 633
  - 634
  - 636
  - 637
  scipy.ndimage._measurements._stats._sum_centered:
  - 648
  - 646
  - 647
  scipy.ndimage._measurements._stats.single_group:
  - 625
  - 621
  - 622
  - 623
  scipy.ndimage._measurements.center_of_mass:
  - 1539
  - 1540
  - 1542
  - 1543
  - 1479
  - 1545
  - 1546
  - 1548
  scipy.ndimage._measurements.extrema:
  - 1472
  - 1464
  - 1453
  - 1455
  - 1457
  - 1400
  - 1465
  - 1466
  - 1469
  scipy.ndimage._measurements.find_objects:
  - 302
  - 303
  - 240
  - 306
  - 307
  - 309
  scipy.ndimage._measurements.histogram:
  - 1552
  - 1609
  - 1604
  scipy.ndimage._measurements.histogram._hist:
  - 1607
  scipy.ndimage._measurements.label:
  - 45
  - 176
  - 177
  - 179
  - 180
  - 181
  - 182
  - 184
  - 185
  - 193
  - 194
  - 199
  - 200
  - 202
  - 205
  - 206
  - 213
  - 219
  - 223
  - 224
  - 226
  - 232
  scipy.ndimage._measurements.labeled_comprehension:
  - 512
  - 517
  - 518
  - 519
  - 521
  - 523
  - 524
  - 528
  - 532
  - 533
  - 539
  - 543
  - 546
  - 549
  - 428
  - 566
  - 568
  - 569
  - 571
  - 573
  - 575
  - 497
  - 498
  - 500
  - 501
  - 503
  - 504
  - 506
  - 507
  - 509
  scipy.ndimage._measurements.labeled_comprehension.do_map:
  - 553
  - 558
  - 559
  - 561
  - 562
  - 564
  scipy.ndimage._measurements.maximum:
  - 1170
  - 1094
  scipy.ndimage._measurements.maximum_position:
  - 1315
  - 1387
  - 1389
  - 1391
  - 1393
  - 1394
  - 1396
  scipy.ndimage._measurements.mean:
  - 805
  - 757
  - 806
  scipy.ndimage._measurements.median:
  - 1232
  - 1174
  scipy.ndimage._measurements.minimum:
  - 1090
  - 1031
  scipy.ndimage._measurements.minimum_position:
  - 1236
  - 1302
  - 1304
  - 1306
  - 1308
  - 1309
  - 1311
  scipy.ndimage._measurements.standard_deviation:
  - 911
  - 863
  scipy.ndimage._measurements.sum:
  - 698
  - 708
  scipy.ndimage._measurements.sum_labels:
  - 712
  - 752
  scipy.ndimage._measurements.value_indices:
  - 417
  - 419
  - 420
  - 422
  - 313
  scipy.ndimage._measurements.variance:
  - 810
  - 859
  - 858
  scipy.ndimage._measurements.watershed_ift:
  - 1670
  - 1673
  - 1674
  - 1644
  - 1645
  - 1614
  - 1679
  - 1648
  - 1649
  - 1650
  - 1651
  - 1680
  - 1653
  - 1654
  - 1657
  - 1658
  - 1659
  - 1660
  scipy.ndimage._morphology._binary_erosion:
  - 256
  - 257
  - 260
  - 262
  - 264
  - 266
  - 267
  - 268
  - 269
  - 270
  - 273
  - 275
  - 277
  - 283
  - 287
  - 219
  - 223
  - 224
  - 226
  - 227
  - 229
  - 230
  - 232
  - 233
  - 234
  - 236
  - 237
  - 238
  - 240
  - 241
  - 242
  - 243
  - 247
  - 248
  - 249
  - 252
  - 253
  - 254
  scipy.ndimage._morphology._center_is_true:
  - 49
  - 50
  - 52
  scipy.ndimage._morphology._distance_tranform_arg_check:
  - 2508
  - 2510
  - 2511
  - 2513
  - 2514
  - 2517
  - 2518
  - 2519
  scipy.ndimage._morphology.binary_closing:
  - 650
  - 784
  - 785
  - 787
  - 789
  - 791
  scipy.ndimage._morphology.binary_dilation:
  - 512
  - 513
  - 515
  - 517
  - 520
  - 394
  - 508
  - 509
  - 510
  - 511
  scipy.ndimage._morphology.binary_erosion:
  - 387
  - 295
  scipy.ndimage._morphology.binary_fill_holes:
  - 1038
  - 1109
  - 1110
  - 1111
  - 1112
  - 1113
  - 1114
  - 1116
  - 1118
  scipy.ndimage._morphology.binary_hit_or_miss:
  - 897
  - 898
  - 899
  - 901
  - 902
  - 881
  - 882
  - 883
  - 884
  - 885
  - 886
  - 887
  - 890
  - 892
  - 797
  - 894
  - 895
  scipy.ndimage._morphology.binary_opening:
  - 640
  - 642
  - 644
  - 526
  - 637
  - 638
  scipy.ndimage._morphology.binary_propagation:
  - 1033
  - 907
  scipy.ndimage._morphology.black_tophat:
  - 1856
  - 1858
  - 1860
  - 1797
  - 1862
  - 1865
  - 1866
  - 1868
  - 1855
  scipy.ndimage._morphology.distance_transform_bf:
  - 2048
  - 2049
  - 2050
  - 2051
  - 2052
  - 2053
  - 2054
  - 2057
  - 2058
  - 2059
  - 2060
  - 2062
  - 2064
  - 2066
  - 2067
  - 2070
  - 2076
  - 2077
  - 2078
  - 2079
  - 2081
  - 2085
  - 2086
  - 2087
  - 2088
  - 2095
  - 2096
  - 2097
  - 2098
  - 2100
  - 2101
  - 2102
  - 1875
  - 2028
  - 2029
  - 2030
  - 2034
  - 2035
  - 2036
  - 2037
  - 2038
  - 2039
  - 2040
  - 2042
  - 2044
  scipy.ndimage._morphology.distance_transform_cdt:
  - 2309
  - 2310
  - 2311
  - 2312
  - 2314
  - 2315
  - 2316
  - 2110
  - 2240
  - 2241
  - 2242
  - 2245
  - 2246
  - 2247
  - 2249
  - 2250
  - 2252
  - 2257
  - 2260
  - 2261
  - 2264
  - 2265
  - 2266
  - 2267
  - 2269
  - 2272
  - 2274
  - 2277
  - 2278
  - 2279
  - 2284
  - 2285
  - 2286
  - 2287
  - 2288
  - 2289
  - 2290
  - 2291
  - 2292
  - 2293
  - 2294
  - 2296
  - 2300
  - 2301
  - 2302
  scipy.ndimage._morphology.distance_transform_edt:
  - 2448
  - 2449
  - 2450
  - 2324
  - 2455
  - 2456
  - 2457
  - 2458
  - 2459
  - 2460
  - 2462
  - 2464
  - 2466
  - 2469
  - 2471
  - 2473
  - 2474
  - 2475
  - 2476
  - 2477
  - 2479
  - 2480
  - 2481
  - 2482
  - 2484
  - 2486
  - 2488
  - 2489
  - 2493
  - 2494
  - 2495
  - 2496
  - 2498
  - 2499
  - 2500
  scipy.ndimage._morphology.generate_binary_structure:
  - 207
  - 209
  - 210
  - 211
  - 212
  - 125
  scipy.ndimage._morphology.grey_closing:
  - 1543
  - 1544
  - 1546
  - 1548
  - 1469
  scipy.ndimage._morphology.grey_dilation:
  - 1378
  - 1352
  - 1354
  - 1355
  - 1356
  - 1358
  - 1359
  - 1360
  - 1235
  - 1363
  - 1364
  - 1365
  - 1367
  - 1369
  - 1371
  - 1375
  scipy.ndimage._morphology.grey_erosion:
  - 1226
  - 1124
  - 1229
  scipy.ndimage._morphology.grey_opening:
  - 1384
  - 1458
  - 1459
  - 1461
  - 1463
  scipy.ndimage._morphology.iterate_structure:
  - 105
  - 106
  - 107
  - 110
  - 111
  - 112
  - 113
  - 115
  - 116
  - 119
  - 56
  scipy.ndimage._morphology.morphological_gradient:
  - 1554
  - 1655
  - 1657
  - 1658
  - 1660
  - 1662
  scipy.ndimage._morphology.morphological_laplace:
  - 1700
  - 1669
  - 1702
  - 1703
  - 1705
  - 1706
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  - 621
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  - 626
  - 627
  - 629
  - 630
  - 631
  - 634
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  scipy.optimize._linprog.linprog_terse_callback:
  - 164
  - 165
  - 166
  - 167
  - 120
  scipy.optimize._linprog.linprog_verbose_callback:
  - 43
  - 92
  - 93
  - 94
  - 95
  - 96
  - 97
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  - 99
  - 100
  - 101
  - 103
  - 105
  - 106
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  - 109
  - 110
  - 111
  - 112
  - 113
  - 114
  - 116
  scipy.optimize._linprog_doc:
  - 1
  scipy.optimize._linprog_doc._linprog_highs_doc:
  - 18
  scipy.optimize._linprog_doc._linprog_highs_ds_doc:
  - 300
  scipy.optimize._linprog_doc._linprog_highs_ipm_doc:
  - 541
  scipy.optimize._linprog_doc._linprog_ip_doc:
  - 768
  scipy.optimize._linprog_doc._linprog_rs_doc:
  - 1097
  scipy.optimize._linprog_doc._linprog_simplex_doc:
  - 1283
  scipy.optimize._linprog_highs:
  - 1
  scipy.optimize._linprog_highs._convert_to_highs_enum:
  - 96
  - 100
  - 102
  - 103
  scipy.optimize._linprog_highs._highs_to_scipy_status_message:
  - 56
  - 78
  scipy.optimize._linprog_highs._linprog_highs:
  - 387
  - 389
  - 390
  - 391
  - 392
  - 400
  - 401
  - 402
  - 405
  - 409
  - 413
  - 417
  - 421
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  - 429
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  - 306
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  - 309
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  - 324
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  - 331
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  - 335
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  - 365
  - 366
  - 368
  - 369
  - 371
  - 373
  - 118
  - 374
  - 379
  - 381
  - 382
  scipy.optimize._linprog_highs._replace_inf:
  - 88
  - 86
  - 87
  scipy.optimize._linprog_ip:
  - 1
  scipy.optimize._linprog_ip._display_iter:
  - 545
  - 546
  - 547
  - 548
  - 549
  - 550
  - 551
  - 535
  - 536
  - 507
  scipy.optimize._linprog_ip._do_step:
  - 417
  scipy.optimize._linprog_ip._get_blind_start:
  - 449
  - 450
  - 451
  - 437
  scipy.optimize._linprog_ip._get_delta:
  - 135
  - 266
  - 268
  - 270
  - 277
  - 279
  - 286
  - 288
  - 295
  - 297
  - 309
  - 312
  - 313
  - 322
  - 323
  - 199
  - 327
  - 203
  - 206
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  - 208
  - 209
  - 214
  - 215
  - 217
  - 218
  - 229
  - 230
  - 231
  - 237
  - 238
  scipy.optimize._linprog_ip._get_message:
  - 380
  scipy.optimize._linprog_ip._get_solver:
  - 96
  - 99
  - 100
  - 102
  - 105
  - 44
  - 108
  - 109
  - 85
  - 86
  - 89
  - 93
  - 95
  scipy.optimize._linprog_ip._get_solver.solve:
  - 107
  - 112
  - 117
  - 118
  - 88
  - 120
  scipy.optimize._linprog_ip._get_step:
  - 354
  - 371
  - 373
  - 375
  scipy.optimize._linprog_ip._indicators:
  - 488
  - 458
  - 494
  - 495
  - 496
  - 497
  - 498
  - 499
  - 500
  - 501
  - 502
  - 472
  scipy.optimize._linprog_ip._indicators.mu:
  - 486
  scipy.optimize._linprog_ip._indicators.norm:
  - 491
  scipy.optimize._linprog_ip._indicators.r_d:
  - 479
  scipy.optimize._linprog_ip._indicators.r_g:
  - 482
  scipy.optimize._linprog_ip._indicators.r_p:
  - 476
  scipy.optimize._linprog_ip._ip_hsd:
  - 769
  - 772
  - 781
  - 785
  - 789
  - 790
  - 791
  - 792
  - 793
  - 797
  - 801
  - 802
  - 803
  - 805
  - 809
  - 811
  - 556
  - 813
  - 702
  - 708
  - 712
  - 713
  - 714
  - 715
  - 716
  - 720
  - 725
  - 726
  - 732
  - 742
  - 750
  - 754
  - 759
  - 764
  - 765
  scipy.optimize._linprog_ip._linprog_ip:
  - 1120
  - 1092
  - 1093
  - 1097
  - 1098
  - 1104
  - 1105
  - 1112
  - 825
  - 1082
  - 1085
  - 1086
  - 1087
  scipy.optimize._linprog_ip._sym_solve:
  - 346
  - 347
  - 349
  - 334
  scipy.optimize._linprog_rs:
  - 1
  scipy.optimize._linprog_rs._display_and_callback:
  - 320
  - 323
  - 324
  - 329
  - 330
  - 331
  - 314
  scipy.optimize._linprog_rs._display_iter:
  - 291
  - 296
  - 297
  - 306
  - 309
  scipy.optimize._linprog_rs._find_nonzero_rows:
  - 272
  - 276
  scipy.optimize._linprog_rs._generate_auxiliary_problem:
  - 137
  - 163
  - 166
  - 178
  - 179
  - 181
  - 184
  - 186
  - 187
  - 188
  - 190
  - 191
  - 192
  - 197
  - 200
  - 203
  - 204
  - 210
  - 211
  - 212
  - 213
  - 215
  - 216
  - 219
  - 223
  - 227
  - 233
  - 234
  scipy.optimize._linprog_rs._get_more_basis_columns:
  - 128
  - 129
  - 130
  - 133
  - 102
  - 110
  - 111
  - 117
  - 118
  - 120
  - 121
  - 125
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  scipy.optimize._linprog_rs._linprog_rs:
  - 421
  - 558
  - 559
  - 562
  - 565
  - 566
  - 536
  - 572
  scipy.optimize._linprog_rs._phase_one:
  - 33
  - 67
  - 68
  - 74
  - 75
  - 78
  - 79
  - 80
  - 50
  - 82
  - 52
  - 53
  - 83
  - 86
  - 60
  scipy.optimize._linprog_rs._phase_two:
  - 352
  - 384
  - 354
  - 387
  - 356
  - 388
  - 358
  - 391
  - 360
  - 361
  - 364
  - 396
  - 336
  - 401
  - 371
  - 377
  - 350
  - 351
  scipy.optimize._linprog_rs._select_enter_pivot:
  - 280
  - 284
  - 285
  scipy.optimize._linprog_rs._select_singleton_columns:
  - 266
  - 240
  - 248
  - 250
  - 251
  scipy.optimize._linprog_simplex:
  - 1
  scipy.optimize._linprog_simplex._apply_pivot:
  - 229
  - 170
  - 215
  - 216
  - 220
  scipy.optimize._linprog_simplex._linprog_simplex:
  - 640
  - 612
  - 613
  - 646
  - 617
  - 618
  - 619
  - 649
  - 621
  - 651
  - 623
  - 593
  - 657
  - 661
  - 631
  - 441
  - 635
  - 606
  scipy.optimize._linprog_simplex._pivot_col:
  - 38
  - 89
  - 90
  - 92
  - 94
  - 95
  scipy.optimize._linprog_simplex._pivot_row:
  - 161
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  - 163
  - 164
  - 165
  - 154
  - 158
  - 159
  scipy.optimize._linprog_simplex._solve_simplex:
  - 385
  - 386
  - 388
  - 393
  - 394
  - 401
  - 402
  - 406
  - 410
  - 413
  - 425
  - 427
  - 428
  - 433
  - 360
  - 362
  - 235
  - 367
  - 376
  - 378
  - 379
  - 380
  - 382
  scipy.optimize._linprog_util:
  - 1
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  scipy.optimize._linprog_util._autoscale:
  - 1248
  - 1249
  - 1251
  - 1252
  - 1255
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  - 1257
  - 1259
  - 1260
  - 1263
  - 1264
  - 1236
  - 1268
  - 1245
  - 1247
  scipy.optimize._linprog_util._check_result:
  - 1472
  - 1474
  - 1476
  - 1513
  - 1483
  - 1484
  - 1421
  - 1485
  - 1486
  - 1489
  - 1492
  - 1496
  - 1497
  - 1499
  - 1500
  - 1503
  scipy.optimize._linprog_util._check_sparse_inputs:
  - 137
  - 138
  - 139
  - 140
  - 141
  - 143
  - 147
  - 152
  - 153
  - 155
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  scipy.optimize._linprog_util._clean_inputs:
  - 390
  - 392
  - 397
  - 398
  - 399
  - 403
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  - 286
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  - 421
  - 297
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  - 305
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  - 443
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  - 448
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  - 324
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  - 331
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  - 469
  - 214
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  - 344
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  - 350
  - 357
  - 363
  - 364
  - 370
  - 377
  - 383
  scipy.optimize._linprog_util._display_summary:
  - 1312
  - 1313
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  - 1310
  - 1311
  scipy.optimize._linprog_util._format_A_constraints:
  - 161
  - 181
  - 182
  - 185
  - 186
  - 188
  scipy.optimize._linprog_util._format_b_constraints:
  - 192
  - 207
  - 208
  - 209
  - 210
  scipy.optimize._linprog_util._get_Abc:
  - 1153
  - 1154
  - 1157
  - 1158
  - 1031
  - 1159
  - 1160
  - 1162
  - 1164
  - 1165
  - 1167
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  - 1174
  - 1176
  - 1177
  - 1178
  - 1181
  - 1182
  - 1183
  - 1186
  - 1187
  - 1188
  - 1189
  - 1190
  - 1192
  - 1193
  - 1194
  - 1195
  - 1196
  - 1197
  - 1198
  - 1200
  - 1202
  - 1206
  - 1208
  - 1212
  - 1213
  - 1214
  - 1215
  - 1216
  - 1217
  - 1218
  - 1219
  - 1221
  - 1222
  - 1117
  - 1119
  - 1120
  - 1139
  - 1146
  - 1147
  - 1148
  - 1149
  scipy.optimize._linprog_util._get_Abc.hstack:
  - 1123
  scipy.optimize._linprog_util._get_Abc.vstack:
  - 1126
  scipy.optimize._linprog_util._parse_linprog:
  - 1026
  - 920
  - 1019
  - 1022
  - 1023
  scipy.optimize._linprog_util._postsolve:
  - 1408
  - 1409
  - 1411
  - 1412
  - 1317
  - 1414
  - 1384
  - 1389
  - 1391
  - 1394
  - 1398
  scipy.optimize._linprog_util._presolve:
  - 604
  - 610
  - 611
  - 616
  - 617
  - 618
  - 623
  - 624
  - 625
  - 636
  - 643
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  - 700
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  - 738
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  - 779
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  - 894
  - 895
  - 897
  - 898
  - 900
  - 901
  - 905
  - 913
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  - 808
  - 811
  - 805
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  - 628
  scipy.optimize._linprog_util._round_to_power_of_two:
  - 1232
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  scipy.optimize._linprog_util._unscale:
  - 1274
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  scipy.optimize._lsq:
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  - 138
  - 139
  - 140
  - 142
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  - 20
  - 21
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  - 33
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  - 36
  - 164
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  - 166
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  - 44
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  - 57
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  - 73
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  - 108
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  - 110
  - 111
  - 114
  - 117
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  scipy.optimize._lsq.bvls.compute_kkt_optimality:
  - 10
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  scipy.optimize._lsq.common:
  - 1
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  - 497
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  scipy.optimize._lsq.common.build_quadratic_1d:
  - 288
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  - 291
  - 292
  - 293
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  - 295
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  - 284
  - 282
  - 283
  - 252
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  scipy.optimize._lsq.common.check_termination:
  - 712
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  - 716
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  scipy.optimize._lsq.common.compute_grad:
  - 593
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  - 610
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  - 356
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  - 416
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  - 429
  - 430
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  scipy.optimize._lsq.common.in_bounds:
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  - 34
  - 35
  - 38
  - 40
  - 41
  - 44
  - 47
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  scipy.optimize._lsq.common.left_multiplied_operator:
  - 616
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  scipy.optimize._lsq.common.left_multiplied_operator.matmat:
  - 623
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  - 620
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  - 690
  - 694
  - 695
  - 697
  - 698
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  - 700
  scipy.optimize._lsq.common.make_strictly_feasible:
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  - 453
  - 454
  - 457
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  scipy.optimize._lsq.common.minimize_quadratic_1d:
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  - 315
  - 317
  - 318
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  scipy.optimize._lsq.common.print_header_linear:
  - 569
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  - 546
  scipy.optimize._lsq.common.print_iteration_linear:
  - 576
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  scipy.optimize._lsq.common.print_iteration_nonlinear:
  - 553
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  scipy.optimize._lsq.common.reflective_transformation:
  - 512
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  - 514
  - 516
  - 517
  - 519
  - 520
  - 523
  - 527
  - 532
  - 533
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  scipy.optimize._lsq.common.regularized_lsq_operator:
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  scipy.optimize._lsq.common.regularized_lsq_operator.matvec:
  - 661
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  - 666
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  - 633
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  - 645
  scipy.optimize._lsq.common.right_multiplied_operator.matmat:
  - 640
  scipy.optimize._lsq.common.right_multiplied_operator.matvec:
  - 637
  scipy.optimize._lsq.common.right_multiplied_operator.rmatvec:
  - 643
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  - 672
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  - 677
  - 679
  - 680
  - 681
  - 682
  scipy.optimize._lsq.common.scale_for_robust_loss_function:
  - 723
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  scipy.optimize._lsq.common.solve_lsq_trust_region:
  - 128
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  - 132
  - 134
  - 135
  - 140
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  - 145
  - 146
  - 147
  - 149
  - 151
  - 155
  - 158
  - 161
  - 166
  - 59
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  scipy.optimize._lsq.common.solve_lsq_trust_region.phi_and_derivative:
  - 115
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  - 107
  scipy.optimize._lsq.common.solve_trust_region_2d:
  - 195
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  - 197
  - 172
  - 209
  - 211
  - 212
  - 214
  - 215
  - 216
  scipy.optimize._lsq.common.step_size_to_bound:
  - 390
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  - 394
  - 395
  - 397
  - 398
  - 373
  scipy.optimize._lsq.common.update_tr_radius:
  - 224
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  - 235
  - 240
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  scipy.optimize._lsq.dogbox:
  - 1
  scipy.optimize._lsq.dogbox.dogbox:
  - 257
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  - 260
  - 261
  - 264
  - 266
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  - 277
  - 279
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  - 203
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  - 211
  - 220
  - 222
  - 225
  - 226
  - 227
  - 239
  - 240
  - 245
  - 251
  - 254
  scipy.optimize._lsq.dogbox.dogleg_step:
  - 130
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  - 140
  - 144
  - 122
  - 125
  - 127
  scipy.optimize._lsq.dogbox.find_intersection:
  - 97
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  - 100
  - 101
  - 78
  - 94
  - 95
  scipy.optimize._lsq.dogbox.lsmr_operator:
  - 57
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  scipy.optimize._lsq.dogbox.lsmr_operator.matvec:
  - 65
  - 67
  scipy.optimize._lsq.dogbox.lsmr_operator.rmatvec:
  - 70
  scipy.optimize._lsq.least_squares:
  - 208
  - 1
  scipy.optimize._lsq.least_squares.arctan:
  - 200
  - 201
  scipy.optimize._lsq.least_squares.call_minpack:
  - 67
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  - 43
  - 75
  - 76
  - 78
  - 80
  - 81
  - 50
  - 82
  - 85
  - 88
  - 90
  - 59
  - 60
  - 63
  scipy.optimize._lsq.least_squares.cauchy:
  - 192
  - 191
  scipy.optimize._lsq.least_squares.check_jac_sparsity:
  - 160
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  - 154
  - 157
  - 158
  scipy.optimize._lsq.least_squares.check_tolerance:
  - 116
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  - 118
  - 120
  - 123
  scipy.optimize._lsq.least_squares.check_tolerance.check:
  - 108
  - 110
  - 111
  scipy.optimize._lsq.least_squares.check_x_scale:
  - 131
  - 135
  - 136
  - 140
  - 144
  - 145
  - 147
  scipy.optimize._lsq.least_squares.construct_loss_function:
  - 216
  - 218
  - 213
  scipy.optimize._lsq.least_squares.construct_loss_function.loss_function:
  - 224
  - 231
  - 232
  - 233
  - 222
  - 223
  scipy.optimize._lsq.least_squares.huber:
  - 173
  scipy.optimize._lsq.least_squares.least_squares:
  - 769
  - 772
  - 776
  - 906
  - 779
  - 908
  - 909
  - 783
  - 786
  - 915
  - 916
  - 789
  - 792
  - 920
  - 795
  - 797
  - 925
  - 926
  - 800
  - 930
  - 931
  - 804
  - 805
  - 936
  - 809
  - 937
  - 812
  - 940
  - 941
  - 815
  - 943
  - 945
  - 946
  - 819
  - 947
  - 822
  - 950
  - 824
  - 953
  - 826
  - 827
  - 832
  - 960
  - 834
  - 961
  - 962
  - 838
  - 844
  - 848
  - 849
  - 850
  - 851
  - 854
  - 855
  - 856
  - 858
  - 860
  - 861
  - 863
  - 864
  - 869
  - 874
  - 880
  - 881
  - 885
  - 246
  - 886
  - 891
  - 895
  scipy.optimize._lsq.least_squares.least_squares.fun_wrapped:
  - 830
  scipy.optimize._lsq.least_squares.least_squares.jac_wrapped:
  - 898
  - 867
  - 901
  - 902
  - 871
  - 877
  scipy.optimize._lsq.least_squares.prepare_bounds:
  - 96
  - 97
  - 98
  - 100
  - 101
  scipy.optimize._lsq.least_squares.soft_l1:
  - 184
  scipy.optimize._lsq.lsq_linear:
  - 1
  scipy.optimize._lsq.lsq_linear.lsq_linear:
  - 257
  - 258
  - 259
  - 260
  - 262
  - 263
  - 267
  - 271
  - 272
  - 276
  - 280
  - 283
  - 288
  - 289
  - 292
  - 295
  - 40
  - 299
  - 301
  - 304
  - 308
  - 311
  - 315
  - 316
  - 317
  - 319
  - 321
  - 325
  - 327
  - 330
  - 331
  - 333
  - 334
  - 335
  - 337
  - 339
  - 343
  - 344
  - 346
  - 347
  - 353
  - 354
  - 355
  - 248
  - 251
  - 254
  scipy.optimize._lsq.lsq_linear.prepare_bounds:
  - 15
  - 17
  - 19
  - 20
  - 22
  - 23
  scipy.optimize._lsq.trf:
  - 1
  scipy.optimize._lsq.trf.select_step:
  - 129
  - 130
  - 131
  - 134
  - 137
  - 138
  - 148
  - 149
  - 155
  - 156
  - 158
  - 167
  - 168
  - 169
  - 180
  - 185
  - 186
  - 187
  - 192
  - 193
  - 197
  - 199
  scipy.optimize._lsq.trf.trf:
  - 123
  - 118
  - 119
  scipy.optimize._lsq.trf.trf_bounds:
  - 207
  - 210
  - 217
  - 218
  - 219
  - 220
  - 222
  - 224
  - 226
  - 227
  - 228
  - 232
  - 234
  - 235
  - 238
  - 240
  - 241
  - 242
  - 243
  - 245
  - 247
  - 257
  - 258
  - 261
  - 263
  - 264
  - 267
  - 268
  - 271
  - 297
  - 300
  - 301
  - 303
  - 304
  - 305
  - 307
  - 308
  - 309
  - 310
  - 313
  - 314
  - 315
  - 316
  - 317
  - 318
  - 319
  - 322
  - 326
  - 327
  - 329
  - 330
  - 331
  - 334
  - 337
  - 338
  - 341
  - 343
  - 348
  - 349
  - 351
  - 353
  - 357
  - 358
  - 359
  - 360
  - 366
  - 370
  - 374
  - 377
  - 378
  - 379
  - 381
  - 383
  - 384
  - 391
  - 394
  - 395
  scipy.optimize._lsq.trf.trf_no_bounds:
  - 512
  - 515
  - 519
  - 520
  - 521
  - 522
  - 528
  - 403
  - 532
  - 406
  - 536
  - 539
  - 540
  - 413
  - 414
  - 415
  - 416
  - 541
  - 418
  - 543
  - 420
  - 545
  - 422
  - 423
  - 424
  - 546
  - 553
  - 428
  - 429
  - 556
  - 557
  - 432
  - 434
  - 435
  - 437
  - 447
  - 448
  - 451
  - 452
  - 455
  - 456
  - 459
  - 465
  - 467
  - 469
  - 470
  - 471
  - 473
  - 474
  - 475
  - 476
  - 480
  - 481
  - 482
  - 483
  - 484
  - 485
  - 489
  - 490
  - 492
  - 493
  - 494
  - 496
  - 499
  - 502
  - 504
  - 509
  - 510
  scipy.optimize._lsq.trf_linear:
  - 1
  scipy.optimize._lsq.trf_linear.backtracking:
  - 70
  - 73
  - 75
  - 76
  - 80
  - 81
  - 82
  - 83
  - 85
  scipy.optimize._lsq.trf_linear.regularized_lsq_with_qr:
  - 64
  - 50
  - 51
  - 19
  - 52
  - 54
  - 56
  - 57
  - 58
  - 60
  - 63
  scipy.optimize._lsq.trf_linear.select_step:
  - 96
  - 97
  - 128
  - 130
  - 131
  - 134
  - 136
  - 106
  - 112
  - 113
  - 114
  - 124
  - 91
  - 92
  - 95
  scipy.optimize._lsq.trf_linear.trf_linear:
  - 145
  - 146
  - 148
  - 149
  - 152
  - 153
  - 155
  - 156
  - 157
  - 158
  - 160
  - 162
  - 165
  - 166
  - 167
  - 174
  - 177
  - 178
  - 180
  - 181
  - 183
  - 184
  - 187
  - 188
  - 191
  - 199
  - 200
  - 201
  - 202
  - 204
  - 205
  - 207
  - 208
  - 209
  - 210
  - 215
  - 216
  - 219
  - 220
  - 221
  - 226
  - 227
  - 230
  - 232
  - 233
  - 234
  - 236
  - 239
  - 241
  - 244
  - 246
  scipy.optimize._milp._constraints_to_components:
  - 64
  - 33
  - 65
  - 66
  - 67
  - 38
  - 43
  - 12
  - 46
  - 52
  - 55
  - 57
  - 60
  - 61
  - 62
  scipy.optimize._milp._milp_iv:
  - 131
  - 134
  - 140
  - 141
  - 144
  - 145
  - 146
  - 147
  - 78
  - 80
  - 81
  - 87
  - 91
  - 94
  - 97
  - 101
  - 102
  - 103
  - 107
  - 112
  - 113
  - 120
  - 121
  - 122
  - 124
  scipy.optimize._milp.milp:
  - 385
  - 386
  - 387
  - 388
  - 389
  - 390
  - 392
  - 369
  - 372
  - 153
  - 378
  - 379
  - 380
  scipy.optimize._minimize:
  - 1
  scipy.optimize._minimize._add_to_array:
  - 993
  - 995
  - 997
  - 991
  scipy.optimize._minimize._optimize_result_for_equal_bounds:
  - 1058
  - 1091
  - 1092
  - 1075
  - 1078
  - 1081
  - 1082
  - 1083
  - 1084
  - 1085
  scipy.optimize._minimize._remove_from_bounds:
  - 961
  - 964
  scipy.optimize._minimize._remove_from_func:
  - 968
  scipy.optimize._minimize._remove_from_func.fun_out:
  - 970
  - 973
  - 974
  - 976
  - 977
  - 978
  - 979
  - 981
  - 983
  scipy.optimize._minimize._validate_bounds:
  - 1002
  - 1010
  - 1005
  - 1011
  scipy.optimize._minimize.minimize:
  - 532
  - 534
  - 537
  - 538
  - 540
  - 543
  - 545
  - 547
  - 552
  - 555
  - 557
  - 561
  - 562
  - 565
  - 54
  - 567
  - 570
  - 573
  - 577
  - 578
  - 579
  - 581
  - 583
  - 586
  - 587
  - 588
  - 592
  - 594
  - 596
  - 598
  - 602
  - 605
  - 613
  - 614
  - 615
  - 616
  - 617
  - 618
  - 619
  - 620
  - 621
  - 622
  - 624
  - 625
  - 626
  - 627
  - 628
  - 629
  - 630
  - 632
  - 636
  - 640
  - 643
  - 645
  - 646
  - 648
  - 659
  - 662
  - 667
  - 668
  - 669
  - 674
  - 675
  - 678
  - 679
  - 680
  - 681
  - 682
  - 683
  - 687
  - 688
  - 689
  - 692
  - 693
  - 696
  - 698
  - 700
  - 701
  - 703
  - 704
  - 705
  - 706
  - 707
  - 708
  - 709
  - 710
  - 712
  - 713
  - 715
  - 716
  - 718
  - 719
  - 721
  - 722
  - 724
  - 725
  - 728
  - 729
  - 731
  - 732
  - 734
  - 735
  - 737
  - 738
  - 743
  - 744
  - 745
  - 746
  - 749
  scipy.optimize._minimize.minimize_scalar:
  - 903
  - 906
  - 908
  - 911
  - 912
  - 915
  - 919
  - 920
  - 921
  - 922
  - 926
  - 927
  - 929
  - 932
  - 933
  - 934
  - 936
  - 937
  - 938
  - 939
  - 941
  - 942
  - 945
  - 946
  - 947
  - 955
  - 956
  - 759
  scipy.optimize._minimize.standardize_bounds:
  - 1024
  - 1025
  - 1018
  - 1019
  - 1020
  - 1021
  - 1022
  - 1023
  scipy.optimize._minimize.standardize_constraints:
  - 1030
  - 1033
  - 1035
  - 1038
  - 1040
  - 1041
  - 1042
  - 1043
  - 1046
  - 1047
  - 1048
  - 1050
  scipy.optimize._minpack_py._check_func:
  - 32
  - 33
  - 34
  - 37
  - 38
  - 42
  - 44
  - 47
  - 48
  - 29
  - 30
  - 31
  scipy.optimize._minpack_py._del2:
  - 1065
  scipy.optimize._minpack_py._fixed_point_helper:
  - 1074
  - 1075
  - 1076
  - 1077
  - 1079
  - 1082
  - 1083
  scipy.optimize._minpack_py._initialize_feasible:
  - 569
  - 570
  - 571
  scipy.optimize._minpack_py._lightweight_memoizer._memoized_func:
  - 513
  - 515
  - 518
  - 520
  - 521
  - 510
  - 511
  scipy.optimize._minpack_py._root_hybr:
  - 225
  - 228
  - 229
  - 230
  - 232
  - 233
  - 234
  - 236
  - 237
  - 270
  - 271
  - 241
  - 273
  - 243
  - 246
  - 247
  - 249
  - 190
  scipy.optimize._minpack_py._wrap_func:
  - 536
  - 533
  scipy.optimize._minpack_py._wrap_func.func_wrapped:
  - 538
  - 549
  - 535
  scipy.optimize._minpack_py._wrap_jac:
  - 554
  - 557
  scipy.optimize._minpack_py._wrap_jac.jac_wrapped:
  - 562
  - 563
  - 556
  - 559
  scipy.optimize._minpack_py.check_gradient:
  - 1056
  - 1057
  - 1059
  - 1034
  - 1038
  - 1039
  - 1040
  - 1041
  - 1042
  - 1043
  - 1045
  - 1046
  - 1047
  - 1048
  - 1050
  - 1051
  - 1053
  - 1055
  scipy.optimize._minpack_py.curve_fit:
  - 1024
  - 897
  - 1027
  - 901
  - 902
  - 904
  - 906
  - 909
  - 910
  - 912
  - 914
  - 919
  - 920
  - 925
  - 927
  - 930
  - 932
  - 933
  - 934
  - 940
  - 941
  - 944
  - 948
  - 951
  - 959
  - 961
  - 962
  - 963
  - 966
  - 972
  - 589
  - 974
  - 977
  - 979
  - 980
  - 981
  - 985
  - 986
  - 1016
  - 988
  - 991
  - 994
  - 868
  - 870
  - 998
  - 872
  - 874
  - 1003
  - 876
  - 1004
  - 879
  - 1007
  - 882
  - 883
  - 884
  - 1010
  - 886
  - 887
  - 888
  - 1012
  - 1013
  - 1015
  - 1020
  - 893
  - 1023
  scipy.optimize._minpack_py.fixed_point:
  - 1091
  - 1133
  - 1134
  scipy.optimize._minpack_py.fsolve:
  - 166
  - 167
  - 169
  - 176
  - 178
  - 180
  - 181
  - 54
  scipy.optimize._minpack_py.leastsq:
  - 416
  - 289
  - 418
  - 417
  - 420
  - 423
  - 427
  - 428
  - 430
  - 431
  - 433
  - 436
  - 437
  - 439
  - 440
  - 442
  - 473
  - 475
  - 484
  - 485
  - 486
  - 489
  - 490
  - 492
  - 498
  - 499
  - 500
  scipy.optimize._nnls._nnls:
  - 160
  - 129
  - 99
  - 133
  - 134
  - 135
  - 139
  - 108
  - 140
  - 110
  - 111
  - 141
  - 145
  - 114
  - 117
  - 120
  - 153
  - 126
  scipy.optimize._nnls.nnls:
  - 9
  - 74
  - 75
  - 77
  - 80
  - 86
  - 91
  - 92
  scipy.optimize._nonlin:
  - 1565
  - 67
  - 263
  - 780
  - 1563
  - 1561
  - 1562
  - 59
  - 60
  - 1564
  - 1566
  - 1567
  scipy.optimize._nonlin.Anderson:
  - 983
  scipy.optimize._nonlin.Anderson.__init__:
  - 1054
  scipy.optimize._nonlin.Anderson._update:
  - 1120
  - 1122
  - 1123
  - 1124
  - 1128
  - 1130
  - 1109
  - 1112
  - 1113
  - 1115
  - 1116
  - 1117
  - 1119
  scipy.optimize._nonlin.Anderson.matvec:
  - 1088
  - 1089
  - 1092
  - 1093
  - 1094
  - 1096
  - 1097
  - 1098
  - 1099
  - 1100
  - 1101
  - 1102
  - 1104
  scipy.optimize._nonlin.Anderson.solve:
  - 1065
  - 1066
  - 1069
  - 1070
  - 1071
  - 1074
  - 1081
  scipy.optimize._nonlin.BroydenFirst:
  - 805
  scipy.optimize._nonlin.BroydenFirst.__init__:
  - 867
  - 874
  - 875
  - 876
  - 877
  - 878
  - 879
  - 859
  - 863
  scipy.optimize._nonlin.BroydenFirst.__init__.<lambda1>:
  - 875
  scipy.optimize._nonlin.BroydenFirst.__init__.<lambda2>:
  - 877
  scipy.optimize._nonlin.BroydenFirst.__init__.<lambda3>:
  - 879
  scipy.optimize._nonlin.BroydenFirst._update:
  - 909
  - 911
  - 912
  - 913
  - 915
  scipy.optimize._nonlin.BroydenFirst.matvec:
  - 900
  scipy.optimize._nonlin.BroydenFirst.rmatvec:
  - 906
  scipy.optimize._nonlin.BroydenFirst.rsolve:
  - 903
  scipy.optimize._nonlin.BroydenFirst.setup:
  - 885
  - 886
  scipy.optimize._nonlin.BroydenFirst.solve:
  - 896
  - 892
  - 893
  - 895
  scipy.optimize._nonlin.BroydenFirst.todense:
  - 889
  scipy.optimize._nonlin.BroydenSecond:
  - 919
  scipy.optimize._nonlin.BroydenSecond._update:
  - 970
  - 973
  - 975
  scipy.optimize._nonlin.DiagBroyden:
  - 1139
  scipy.optimize._nonlin.DiagBroyden.__init__:
  - 1180
  scipy.optimize._nonlin.DiagBroyden.rmatvec:
  - 1197
  scipy.optimize._nonlin.DiagBroyden.rsolve:
  - 1194
  scipy.optimize._nonlin.DiagBroyden.setup:
  - 1184
  - 1185
  scipy.optimize._nonlin.DiagBroyden.todense:
  - 1200
  scipy.optimize._nonlin.ExcitingMixing:
  - 1253
  scipy.optimize._nonlin.ExcitingMixing.__init__:
  - 1280
  scipy.optimize._nonlin.ExcitingMixing._update:
  - 1308
  scipy.optimize._nonlin.ExcitingMixing.rmatvec:
  - 1299
  scipy.optimize._nonlin.ExcitingMixing.rsolve:
  - 1296
  scipy.optimize._nonlin.ExcitingMixing.setup:
  - 1286
  - 1287
  scipy.optimize._nonlin.ExcitingMixing.todense:
  - 1302
  scipy.optimize._nonlin.GenericBroyden.setup:
  - 560
  - 564
  - 567
  - 568
  - 569
  scipy.optimize._nonlin.GenericBroyden.update:
  - 579
  scipy.optimize._nonlin.InverseJacobian.__init__:
  - 448
  - 450
  scipy.optimize._nonlin.Jacobian:
  - 376
  scipy.optimize._nonlin.Jacobian.__init__:
  - 416
  - 417
  - 419
  - 420
  - 422
  - 423
  scipy.optimize._nonlin.Jacobian.__init__.<lambda1>:
  - 423
  scipy.optimize._nonlin.Jacobian.aspreconditioner:
  - 426
  scipy.optimize._nonlin.Jacobian.setup:
  - 440
  - 438
  scipy.optimize._nonlin.KrylovJacobian:
  - 1316
  scipy.optimize._nonlin.KrylovJacobian.__init__:
  - 1442
  - 1443
  - 1448
  - 1449
  - 1423
  - 1456
  - 1457
  - 1459
  - 1460
  - 1432
  - 1434
  - 1438
  - 1439
  scipy.optimize._nonlin.KrylovJacobian._update_diff_step:
  - 1465
  - 1466
  - 1467
  scipy.optimize._nonlin.KrylovJacobian.matvec:
  - 1474
  - 1475
  - 1470
  - 1471
  scipy.optimize._nonlin.KrylovJacobian.setup:
  - 1505
  - 1508
  - 1509
  - 1510
  - 1497
  - 1500
  - 1502
  - 1503
  scipy.optimize._nonlin.KrylovJacobian.solve:
  - 1480
  - 1481
  - 1483
  scipy.optimize._nonlin.KrylovJacobian.update:
  - 1489
  - 1492
  - 1493
  - 1494
  scipy.optimize._nonlin.LinearMixing:
  - 1207
  scipy.optimize._nonlin.LinearMixing.__init__:
  - 1230
  scipy.optimize._nonlin.LinearMixing.rmatvec:
  - 1243
  scipy.optimize._nonlin.LinearMixing.rsolve:
  - 1240
  scipy.optimize._nonlin.LinearMixing.todense:
  - 1246
  scipy.optimize._nonlin.LowRankMatrix:
  - 585
  scipy.optimize._nonlin.LowRankMatrix.__array__:
  - 680
  - 681
  - 682
  - 677
  scipy.optimize._nonlin.LowRankMatrix._matvec:
  - 608
  - 609
  - 610
  - 605
  scipy.optimize._nonlin.LowRankMatrix._solve:
  - 615
  - 616
  - 621
  - 624
  - 625
  - 626
  - 627
  - 629
  - 630
  - 631
  - 633
  - 636
  - 637
  scipy.optimize._nonlin.LowRankMatrix.append:
  - 673
  - 674
  - 666
  - 667
  - 670
  - 671
  scipy.optimize._nonlin.LowRankMatrix.collapse:
  - 686
  - 687
  scipy.optimize._nonlin.LowRankMatrix.matvec:
  - 642
  - 643
  - 644
  - 645
  scipy.optimize._nonlin.LowRankMatrix.restart_reduce:
  - 696
  - 699
  - 693
  scipy.optimize._nonlin.LowRankMatrix.rmatvec:
  - 648
  - 649
  - 650
  - 651
  scipy.optimize._nonlin.LowRankMatrix.rsolve:
  - 660
  - 661
  - 662
  - 663
  scipy.optimize._nonlin.LowRankMatrix.simple_reduce:
  - 704
  - 707
  - 710
  scipy.optimize._nonlin.LowRankMatrix.solve:
  - 656
  - 657
  - 654
  - 655
  scipy.optimize._nonlin.LowRankMatrix.svd_reduce:
  - 769
  - 770
  - 772
  - 773
  - 774
  - 743
  - 715
  - 747
  - 752
  - 753
  - 754
  - 756
  - 757
  - 761
  - 762
  - 764
  - 765
  - 767
  scipy.optimize._nonlin.TerminationCondition:
  - 312
  scipy.optimize._nonlin.TerminationCondition.__init__:
  - 327
  - 328
  - 329
  - 331
  - 333
  scipy.optimize._nonlin.TerminationCondition.check:
  - 352
  - 354
  - 357
  - 360
  - 365
  - 350
  - 351
  scipy.optimize._nonlin._array_like:
  - 43
  - 44
  - 45
  - 46
  scipy.optimize._nonlin._as_inexact:
  - 35
  - 36
  - 37
  - 38
  scipy.optimize._nonlin._nonlin_line_search:
  - 289
  - 290
  - 292
  - 293
  - 296
  - 270
  - 271
  - 302
  - 305
  - 306
  scipy.optimize._nonlin._nonlin_line_search.derphi:
  - 286
  - 287
  scipy.optimize._nonlin._nonlin_line_search.phi:
  - 274
  - 277
  - 278
  - 279
  scipy.optimize._nonlin._nonlin_wrapper:
  - 1518
  - 1550
  - 1553
  - 1554
  - 1557
  - 1526
  - 1528
  - 1529
  - 1530
  - 1532
  - 1533
  - 1535
  scipy.optimize._nonlin._safe_norm:
  - 50
  - 51
  - 52
  scipy.optimize._nonlin._set_doc:
  - 112
  scipy.optimize._nonlin.asjacobian:
  - 541
  - 542
  - 543
  - 463
  - 467
  - 469
  - 470
  - 471
  - 472
  - 474
  - 475
  - 478
  - 479
  - 480
  - 481
  - 483
  - 484
  - 486
  - 487
  - 488
  - 489
  - 491
  - 492
  - 493
  - 495
  - 496
  - 497
  - 500
  scipy.optimize._nonlin.asjacobian.<lambda1>:
  - 478
  scipy.optimize._nonlin.asjacobian.<lambda2>:
  - 479
  scipy.optimize._nonlin.asjacobian.<lambda3>:
  - 480
  scipy.optimize._nonlin.asjacobian.<lambda4>:
  - 481
  scipy.optimize._nonlin.asjacobian.<lambda6>:
  - 487
  scipy.optimize._nonlin.asjacobian.<lambda7>:
  - 488
  scipy.optimize._nonlin.asjacobian.<lambda8>:
  - 489
  scipy.optimize._nonlin.asjacobian.Jac.matvec:
  - 516
  - 517
  - 518
  - 519
  scipy.optimize._nonlin.asjacobian.Jac.rmatvec:
  - 534
  - 535
  - 536
  - 537
  - 538
  scipy.optimize._nonlin.asjacobian.Jac.rsolve:
  - 525
  - 526
  - 527
  - 528
  - 529
  scipy.optimize._nonlin.asjacobian.Jac.solve:
  - 507
  - 508
  - 509
  - 510
  - 511
  scipy.optimize._nonlin.maxnorm:
  - 31
  scipy.optimize._nonlin.nonlin_solve:
  - 258
  - 260
  - 162
  - 166
  - 169
  - 171
  - 172
  - 173
  - 175
  - 176
  - 178
  - 179
  - 184
  - 186
  - 189
  - 198
  - 199
  - 200
  - 204
  - 205
  - 207
  - 213
  - 214
  - 219
  - 220
  - 222
  - 224
  - 225
  - 229
  - 230
  - 232
  - 237
  - 238
  - 239
  - 240
  - 247
  - 120
  scipy.optimize._nonlin.nonlin_solve.func:
  - 168
  scipy.optimize._numdiff:
  - 1
  scipy.optimize._numdiff._adjust_scheme_to_bounds:
  - 70
  - 74
  - 43
  - 44
  - 45
  - 13
  - 46
  - 47
  - 79
  - 51
  - 83
  - 84
  - 55
  - 60
  - 63
  scipy.optimize._numdiff._compute_absolute_step:
  - 172
  - 174
  - 176
  - 177
  - 146
  - 182
  - 187
  - 188
  scipy.optimize._numdiff._dense_difference:
  - 614
  - 583
  - 584
  - 615
  - 586
  - 587
  - 590
  - 591
  - 595
  - 596
  - 598
  - 602
  - 603
  - 605
  - 606
  scipy.optimize._numdiff._eps_for_method:
  - 130
  - 131
  - 133
  - 134
  - 136
  - 138
  - 121
  - 124
  - 93
  - 126
  - 127
  scipy.optimize._numdiff._linear_operator_difference:
  - 552
  - 577
  - 564
  - 543
  scipy.optimize._numdiff._linear_operator_difference.matvec:
  - 545
  - 546
  - 547
  - 549
  - 554
  - 555
  - 556
  - 559
  - 560
  - 566
  - 567
  - 568
  - 570
  scipy.optimize._numdiff._prepare_bounds:
  - 195
  - 205
  - 206
  - 207
  - 209
  - 210
  scipy.optimize._numdiff._sparse_difference:
  - 641
  - 644
  - 647
  - 648
  - 658
  - 662
  - 663
  - 665
  - 666
  - 670
  - 677
  - 678
  - 681
  - 682
  - 689
  - 690
  - 691
  - 693
  - 694
  - 695
  - 696
  - 697
  - 628
  - 629
  - 631
  - 633
  - 636
  - 639
  scipy.optimize._numdiff.approx_derivative:
  - 512
  - 513
  - 515
  - 518
  - 519
  - 522
  - 526
  - 528
  - 529
  - 531
  - 533
  - 534
  - 279
  - 439
  - 442
  - 443
  - 445
  - 449
  - 451
  - 454
  - 456
  - 459
  - 460
  - 476
  - 477
  - 479
  - 480
  - 483
  - 486
  - 487
  - 488
  - 490
  - 494
  - 495
  - 498
  - 504
  - 505
  - 506
  - 509
  - 510
  scipy.optimize._numdiff.approx_derivative.fun_wrapped:
  - 467
  - 468
  - 470
  - 471
  scipy.optimize._numdiff.check_derivative:
  - 768
  - 769
  - 770
  - 772
  - 774
  - 775
  - 761
  - 762
  - 763
  - 765
  - 702
  - 767
  scipy.optimize._numdiff.group_columns:
  - 248
  - 256
  - 257
  - 258
  - 260
  - 261
  - 266
  - 267
  - 269
  - 271
  - 245
  - 246
  - 216
  - 249
  - 251
  scipy.optimize._optimize:
  - 188
  scipy.optimize._optimize.Brent.get_bracket_info:
  - 2403
  - 2404
  - 2405
  - 2406
  - 2389
  - 2390
  - 2391
  - 2392
  - 2394
  - 2396
  - 2398
  scipy.optimize._optimize.Brent.get_result:
  - 2537
  scipy.optimize._optimize.Brent.optimize:
  - 2440
  - 2441
  - 2442
  - 2443
  - 2446
  - 2450
  - 2455
  - 2456
  - 2466
  - 2468
  - 2472
  - 2473
  - 2476
  - 2477
  - 2482
  - 2488
  - 2489
  - 2495
  - 2498
  - 2499
  - 2503
  - 2508
  - 2512
  - 2523
  - 2524
  - 2423
  - 2431
  scipy.optimize._optimize.MemoizeJac:
  - 61
  scipy.optimize._optimize.MemoizeJac.__call__:
  - 78
  - 79
  scipy.optimize._optimize.MemoizeJac._compute_if_needed:
  - 72
  - 73
  - 71
  scipy.optimize._optimize.MemoizeJac.derivative:
  - 83
  scipy.optimize._optimize.OptimizeResult:
  - 112
  scipy.optimize._optimize._Brute_Wrapper:
  - 3850
  scipy.optimize._optimize._Brute_Wrapper.__call__:
  - 3860
  scipy.optimize._optimize._check_clip_x:
  - 312
  - 308
  - 309
  scipy.optimize._optimize._check_positive_definite:
  - 168
  - 167
  scipy.optimize._optimize._check_positive_definite.is_pos_def:
  - 161
  - 159
  scipy.optimize._optimize._check_unknown_options:
  - 178
  - 173
  - 174
  scipy.optimize._optimize._clip_x_for_func.eval:
  - 301
  - 302
  scipy.optimize._optimize._endprint:
  - 3584
  - 3571
  - 3572
  - 3573
  - 3578
  - 3581
  - 3582
  scipy.optimize._optimize._line_for_search:
  - 3112
  - 3113
  - 3114
  - 3115
  - 3117
  - 3118
  - 3066
  - 3103
  scipy.optimize._optimize._line_search_wolfe12:
  - 1123
  - 1125
  - 1129
  - 1131
  - 1135
  - 1137
  - 1138
  - 1140
  - 1141
  - 1143
  - 1111
  - 1148
  scipy.optimize._optimize._linesearch_powell:
  - 3169
  - 3171
  - 3176
  - 3177
  - 3178
  - 3181
  - 3182
  - 3153
  - 3154
  - 3155
  - 3157
  - 3158
  - 3161
  - 3130
  - 3163
  - 3164
  - 3166
  - 3167
  scipy.optimize._optimize._linesearch_powell.<lambda1>:
  - 3178
  scipy.optimize._optimize._linesearch_powell.myfunc:
  - 3150
  scipy.optimize._optimize._minimize_bfgs:
  - 1409
  - 1410
  - 1412
  - 1413
  - 1420
  - 1423
  - 1429
  - 1303
  - 1433
  - 1435
  - 1437
  - 1443
  - 1448
  - 1450
  - 1453
  - 1459
  - 1460
  - 1461
  - 1462
  - 1463
  - 1464
  - 1466
  - 1470
  - 1353
  - 1354
  - 1357
  - 1358
  - 1360
  - 1361
  - 1363
  - 1369
  - 1370
  - 1373
  - 1374
  - 1378
  - 1381
  - 1384
  - 1386
  - 1389
  - 1400
  - 1401
  - 1403
  - 1404
  scipy.optimize._optimize._minimize_cg:
  - 1792
  - 1794
  - 1669
  - 1797
  - 1803
  - 1804
  - 1805
  - 1806
  - 1807
  - 1808
  - 1810
  - 1814
  - 1706
  - 1710
  - 1711
  - 1712
  - 1714
  - 1720
  - 1721
  - 1726
  - 1728
  - 1732
  - 1737
  - 1770
  - 1779
  - 1782
  - 1784
  - 1785
  - 1787
  - 1788
  scipy.optimize._optimize._minimize_cg.descent_condition:
  - 1766
  - 1762
  - 1758
  scipy.optimize._optimize._minimize_cg.polak_ribiere_powell_step:
  - 1744
  - 1746
  - 1748
  - 1743
  scipy.optimize._optimize._minimize_neldermead:
  - 671
  - 720
  - 724
  - 725
  - 726
  - 728
  - 729
  - 743
  - 746
  - 750
  - 751
  - 754
  - 755
  - 757
  - 758
  - 760
  - 762
  - 763
  - 764
  - 770
  - 771
  - 772
  - 773
  - 775
  - 779
  - 783
  - 786
  - 789
  - 793
  - 794
  - 799
  - 800
  - 802
  - 803
  - 805
  - 808
  - 809
  - 813
  - 814
  - 815
  - 817
  - 818
  - 820
  - 826
  - 827
  - 830
  - 832
  - 833
  - 834
  - 837
  - 839
  - 840
  - 841
  - 843
  - 850
  - 855
  - 857
  - 858
  - 859
  - 861
  - 869
  - 870
  - 871
  - 873
  - 879
  - 880
  - 882
  - 883
  - 885
  - 890
  - 891
  - 892
  - 893
  - 894
  - 895
  - 896
  - 900
  - 903
  - 906
  - 907
  - 908
  - 911
  - 912
  - 915
  - 916
  - 917
  - 918
  - 919
  - 921
  - 924
  scipy.optimize._optimize._minimize_newtoncg:
  - 2051
  - 2053
  - 2054
  - 2057
  - 2058
  - 2060
  - 2061
  - 2062
  - 2064
  - 2069
  - 1943
  - 2071
  - 2072
  - 2073
  - 2075
  - 2076
  - 2085
  - 1972
  - 1973
  - 2101
  - 2106
  - 1981
  - 2110
  - 1983
  - 2111
  - 2113
  - 2114
  - 2115
  - 1988
  - 2116
  - 2119
  - 2120
  - 2123
  - 1997
  - 2023
  - 2024
  - 2025
  - 2027
  - 2029
  - 2030
  - 2034
  - 2036
  - 2038
  - 2040
  - 2043
  - 2044
  - 2045
  - 2047
  scipy.optimize._optimize._minimize_newtoncg._hessp:
  - 2001
  scipy.optimize._optimize._minimize_newtoncg.terminate:
  - 2018
  - 2006
  - 2007
  - 2008
  - 2009
  - 2010
  - 2011
  - 2012
  - 2014
  scipy.optimize._optimize._minimize_powell:
  - 3457
  - 3331
  - 3466
  - 3467
  - 3470
  - 3471
  - 3478
  - 3481
  - 3486
  - 3490
  - 3491
  - 3492
  - 3493
  - 3495
  - 3496
  - 3498
  - 3500
  - 3502
  - 3508
  - 3510
  - 3513
  - 3514
  - 3515
  - 3517
  - 3523
  - 3524
  - 3531
  - 3543
  - 3546
  - 3419
  - 3549
  - 3423
  - 3424
  - 3552
  - 3426
  - 3428
  - 3556
  - 3557
  - 3431
  - 3558
  - 3559
  - 3434
  - 3560
  - 3562
  - 3565
  - 3438
  - 3439
  - 3446
  - 3448
  - 3449
  - 3451
  - 3452
  - 3453
  scipy.optimize._optimize._minimize_scalar_bounded:
  - 2310
  - 2311
  - 2312
  - 2315
  - 2316
  - 2318
  - 2319
  - 2327
  - 2331
  - 2334
  - 2338
  - 2341
  - 2345
  - 2220
  - 2349
  - 2350
  - 2352
  - 2353
  - 2235
  - 2238
  - 2242
  - 2245
  - 2252
  - 2253
  - 2259
  - 2266
  - 2269
  - 2270
  - 2271
  - 2272
  - 2274
  - 2277
  - 2283
  - 2285
  - 2290
  - 2296
  - 2297
  - 2302
  - 2303
  scipy.optimize._optimize._minimize_scalar_brent:
  - 2656
  - 2626
  - 2658
  - 2663
  - 2665
  - 2668
  - 2669
  - 2671
  - 2645
  - 2647
  - 2650
  - 2652
  - 2653
  - 2654
  scipy.optimize._optimize._minimize_scalar_golden:
  - 2816
  - 2817
  - 2819
  - 2824
  - 2830
  - 2832
  - 2833
  - 2837
  - 2842
  - 2849
  - 2851
  - 2856
  - 2858
  - 2861
  - 2862
  - 2864
  - 2755
  - 2769
  - 2771
  - 2772
  - 2773
  - 2774
  - 2776
  - 2778
  - 2780
  - 2785
  - 2786
  - 2787
  - 2788
  - 2801
  - 2807
  - 2808
  - 2812
  - 2813
  - 2814
  scipy.optimize._optimize._prepare_scalar_function:
  - 288
  - 260
  - 262
  - 203
  - 275
  - 283
  scipy.optimize._optimize._print_success_message_or_warn:
  - 1476
  - 1477
  - 1479
  scipy.optimize._optimize._recover_from_bracket_error:
  - 3050
  - 3052
  - 3055
  - 3058
  - 3060
  scipy.optimize._optimize._wrap_callback:
  - 97
  - 100
  - 88
  - 89
  - 92
  - 94
  scipy.optimize._optimize._wrap_callback.wrapped_callback:
  - 96
  - 105
  - 99
  - 102
  scipy.optimize._optimize._wrap_scalar_function:
  - 490
  scipy.optimize._optimize._wrap_scalar_function.function_wrapper:
  - 496
  - 499
  - 501
  scipy.optimize._optimize._wrap_scalar_function_maxfun_validation:
  - 518
  scipy.optimize._optimize._wrap_scalar_function_maxfun_validation.function_wrapper:
  - 522
  - 530
  - 532
  - 526
  scipy.optimize._optimize.approx_fhess_p:
  - 1100
  - 1101
  scipy.optimize._optimize.approx_fprime:
  - 930
  - 996
  - 997
  - 999
  scipy.optimize._optimize.bracket:
  - 2945
  - 2946
  - 2947
  - 2948
  - 2952
  - 2959
  - 2968
  - 2971
  - 2972
  - 2974
  - 2980
  - 2985
  - 2987
  - 2989
  - 2991
  - 2992
  - 2994
  - 2869
  - 3000
  - 3004
  - 3016
  - 3019
  - 3020
  scipy.optimize._optimize.brent:
  - 2544
  - 2617
  - 2616
  scipy.optimize._optimize.brute:
  - 3843
  - 3590
  - 3761
  - 3762
  - 3765
  - 3766
  - 3767
  - 3768
  - 3769
  - 3770
  - 3771
  - 3778
  - 3779
  - 3781
  - 3784
  - 3787
  - 3788
  - 3789
  - 3791
  - 3792
  - 3793
  - 3794
  - 3796
  - 3798
  - 3799
  - 3800
  - 3801
  - 3805
  - 3806
  - 3808
  - 3809
  - 3813
  - 3815
  - 3816
  - 3817
  - 3819
  - 3821
  - 3827
  - 3829
  - 3837
  - 3838
  - 3839
  scipy.optimize._optimize.check_grad:
  - 1088
  - 1093
  - 1094
  - 1068
  - 1005
  - 1073
  - 1074
  - 1075
  - 1078
  - 1079
  - 1082
  - 1083
  - 1084
  scipy.optimize._optimize.check_grad.g:
  - 1071
  scipy.optimize._optimize.fmin:
  - 652
  - 653
  - 654
  - 656
  - 660
  - 543
  scipy.optimize._optimize.fmin_bfgs:
  - 1282
  - 1283
  - 1285
  - 1158
  - 1288
  - 1292
  scipy.optimize._optimize.fmin_cg:
  - 1485
  - 1649
  - 1650
  - 1653
  - 1655
  - 1659
  scipy.optimize._optimize.fmin_ncg:
  - 1922
  - 1923
  - 1926
  - 1929
  - 1933
  - 1822
  scipy.optimize._optimize.fmin_powell:
  - 3311
  - 3312
  - 3314
  - 3188
  - 3317
  - 3321
  scipy.optimize._optimize.fminbound:
  - 2128
  - 2210
  - 2211
  scipy.optimize._optimize.golden:
  - 2745
  - 2746
  - 2677
  scipy.optimize._optimize.is_finite_scalar:
  - 185
  - 182
  scipy.optimize._optimize.rosen:
  - 360
  - 361
  - 319
  scipy.optimize._optimize.rosen_der:
  - 393
  - 397
  - 367
  scipy.optimize._optimize.rosen_hess:
  - 435
  - 436
  - 437
  - 406
  - 441
  scipy.optimize._optimize.rosen_hess_prod:
  - 476
  - 477
  - 446
  scipy.optimize._optimize.show_options:
  - 3864
  - 4034
  - 4036
  - 4037
  - 4039
  - 4040
  - 4042
  - 4043
  - 4045
  - 4046
  - 4048
  - 4049
  - 4052
  - 4054
  - 4055
  - 4056
  - 4057
  - 4059
  - 4060
  - 4061
  - 4066
  - 4067
  - 4068
  - 4069
  - 4073
  - 4074
  - 4078
  - 4079
  scipy.optimize._optimize.vecnorm:
  - 192
  - 193
  - 194
  - 195
  - 197
  scipy.optimize._qap._calc_score:
  - 197
  scipy.optimize._qap._common_input_validation:
  - 225
  - 227
  - 228
  - 231
  - 201
  - 202
  - 204
  - 205
  - 206
  - 209
  - 211
  - 213
  - 215
  - 217
  - 219
  - 221
  - 223
  scipy.optimize._qap._doubly_stochastic:
  - 529
  - 530
  - 531
  - 525
  scipy.optimize._qap._quadratic_assignment_2opt:
  - 640
  - 641
  - 642
  - 644
  - 646
  - 647
  - 649
  - 651
  - 652
  - 653
  - 656
  - 659
  - 661
  - 663
  - 665
  - 667
  - 668
  - 670
  - 546
  - 674
  - 677
  - 678
  - 679
  - 680
  - 681
  - 696
  - 698
  - 700
  - 702
  - 703
  - 711
  - 714
  - 715
  - 724
  scipy.optimize._qap._quadratic_assignment_faq:
  - 396
  - 398
  - 401
  - 404
  - 406
  - 408
  - 410
  - 413
  - 414
  - 415
  - 419
  - 420
  - 421
  - 423
  - 424
  - 426
  - 428
  - 429
  - 430
  - 431
  - 435
  - 439
  - 440
  - 442
  - 445
  - 448
  - 449
  - 450
  - 452
  - 453
  - 454
  - 457
  - 458
  - 463
  - 467
  - 468
  - 476
  - 477
  - 480
  - 481
  - 482
  - 487
  - 490
  - 494
  - 241
  - 501
  - 502
  - 504
  - 507
  - 509
  scipy.optimize._qap.quadratic_assignment:
  - 12
  - 183
  - 186
  - 189
  - 191
  scipy.optimize._remove_redundancy:
  - 1
  scipy.optimize._remove_redundancy._get_densest:
  - 36
  - 54
  - 55
  scipy.optimize._remove_redundancy._remove_redundancy_id:
  - 513
  - 455
  - 519
  - 494
  - 496
  - 502
  - 503
  - 505
  scipy.optimize._remove_redundancy._remove_redundancy_pivot_dense:
  - 149
  - 151
  - 156
  - 157
  - 164
  - 165
  - 167
  - 169
  - 171
  - 184
  - 186
  - 189
  - 194
  - 196
  - 198
  - 199
  - 202
  - 209
  - 210
  - 212
  - 213
  - 214
  - 230
  - 231
  - 109
  scipy.optimize._remove_redundancy._remove_redundancy_pivot_sparse:
  - 277
  - 279
  - 284
  - 285
  - 288
  - 292
  - 293
  - 315
  - 319
  - 322
  - 324
  - 333
  - 334
  - 348
  - 349
  - 350
  - 355
  - 357
  - 358
  - 236
  scipy.optimize._remove_redundancy._remove_redundancy_svd:
  - 422
  - 425
  - 426
  - 363
  - 395
  - 397
  - 400
  - 401
  - 402
  - 435
  - 444
  - 445
  - 446
  - 447
  scipy.optimize._remove_redundancy._remove_zero_rows:
  - 86
  - 87
  - 88
  - 59
  - 92
  scipy.optimize._remove_redundancy._row_count:
  - 32
  - 15
  scipy.optimize._remove_redundancy.bg_update_dense:
  - 100
  scipy.optimize._root:
  - 1
  scipy.optimize._root._root_anderson_doc:
  - 500
  scipy.optimize._root._root_broyden1_doc:
  - 357
  scipy.optimize._root._root_broyden2_doc:
  - 435
  scipy.optimize._root._root_diagbroyden_doc:
  - 579
  scipy.optimize._root._root_excitingmixing_doc:
  - 616
  scipy.optimize._root._root_krylov_doc:
  - 656
  scipy.optimize._root._root_leastsq:
  - 295
  - 296
  - 265
  - 302
  - 304
  - 305
  scipy.optimize._root._root_linearmixing_doc:
  - 542
  scipy.optimize._root._root_nonlin_solve:
  - 352
  - 353
  - 322
  - 323
  - 334
  - 335
  - 344
  - 315
  scipy.optimize._root._root_nonlin_solve.f:
  - 337
  - 340
  scipy.optimize._root._warn_jac_unused:
  - 256
  - 257
  scipy.optimize._root.root:
  - 27
  - 202
  - 205
  - 206
  - 209
  - 210
  - 214
  - 215
  - 216
  - 222
  - 223
  - 224
  - 225
  - 226
  - 227
  - 228
  - 230
  - 231
  - 232
  - 233
  - 235
  - 236
  - 237
  - 238
  - 239
  - 240
  - 241
  - 243
  - 245
  - 246
  scipy.optimize._root_scalar:
  - 1
  scipy.optimize._root_scalar.MemoizeDer:
  - 21
  scipy.optimize._root_scalar.MemoizeDer.__call__:
  - 40
  - 37
  - 39
  scipy.optimize._root_scalar.MemoizeDer.fprime:
  - 48
  - 49
  - 47
  scipy.optimize._root_scalar.MemoizeDer.fprime2:
  - 53
  - 54
  - 55
  scipy.optimize._root_scalar._root_scalar_bisect_doc:
  - 507
  scipy.optimize._root_scalar._root_scalar_brenth_doc:
  - 362
  scipy.optimize._root_scalar._root_scalar_brentq_doc:
  - 340
  scipy.optimize._root_scalar._root_scalar_halley_doc:
  - 454
  scipy.optimize._root_scalar._root_scalar_newton_doc:
  - 428
  scipy.optimize._root_scalar._root_scalar_ridder_doc:
  - 485
  scipy.optimize._root_scalar._root_scalar_secant_doc:
  - 405
  scipy.optimize._root_scalar._root_scalar_toms748_doc:
  - 383
  scipy.optimize._root_scalar.root_scalar:
  - 257
  - 261
  - 265
  - 269
  - 273
  - 274
  - 279
  - 285
  - 286
  - 289
  - 293
  - 294
  - 296
  - 297
  - 298
  - 300
  - 301
  - 303
  - 313
  - 314
  - 315
  - 317
  - 318
  - 320
  - 322
  - 67
  - 324
  - 325
  - 326
  - 330
  - 208
  - 211
  - 216
  - 217
  - 218
  - 224
  - 225
  - 226
  - 234
  - 235
  - 236
  - 240
  - 241
  - 244
  - 248
  - 249
  - 251
  - 252
  - 253
  scipy.optimize._root_scalar.root_scalar.fprime:
  - 311
  scipy.optimize._shgo:
  - 1
  scipy.optimize._shgo.LMapCache.__getitem__:
  - 1544
  - 1548
  - 1541
  scipy.optimize._shgo.LMapCache.__init__:
  - 1534
  scipy.optimize._shgo.LMapCache.add_res:
  - 1568
  - 1569
  - 1554
  - 1555
  - 1565
  - 1566
  - 1567
  scipy.optimize._shgo.LMapCache.sort_cache_result:
  - 1572
  - 1577
  - 1578
  - 1581
  - 1585
  - 1593
  - 1594
  scipy.optimize._shgo.SHGO.__exit__:
  - 812
  scipy.optimize._shgo.SHGO.__init__:
  - 516
  - 517
  - 646
  - 647
  - 520
  - 526
  - 535
  - 666
  - 670
  - 672
  - 545
  - 547
  - 675
  - 550
  - 551
  - 552
  - 678
  - 554
  - 556
  - 557
  - 558
  - 687
  - 694
  - 570
  - 698
  - 572
  - 699
  - 702
  - 703
  - 704
  - 577
  - 578
  - 710
  - 714
  - 590
  - 591
  - 735
  - 738
  - 492
  - 498
  - 499
  - 500
  - 637
  - 510
  scipy.optimize._shgo.SHGO.__init__._restrict_to_keys:
  - 641
  - 642
  - 643
  - 644
  scipy.optimize._shgo.SHGO.__init__.sampling_method:
  - 718
  scipy.optimize._shgo.SHGO.construct_lcb_delaunay:
  - 1292
  scipy.optimize._shgo.SHGO.construct_lcb_simplicial:
  - 1282
  - 1285
  - 1286
  - 1287
  - 1258
  - 1275
  - 1276
  - 1278
  scipy.optimize._shgo.SHGO.delaunay_triangulation:
  - 1509
  - 1490
  - 1493
  - 1496
  - 1500
  - 1501
  scipy.optimize._shgo.SHGO.find_lowest_vertex:
  - 877
  - 878
  - 879
  - 880
  - 883
  - 884
  - 888
  scipy.optimize._shgo.SHGO.find_minima:
  - 868
  - 870
  - 871
  - 847
  - 851
  - 852
  - 854
  - 856
  - 860
  - 862
  scipy.optimize._shgo.SHGO.finite_ev:
  - 916
  - 917
  - 919
  scipy.optimize._shgo.SHGO.finite_fev:
  - 908
  - 909
  - 910
  scipy.optimize._shgo.SHGO.finite_homology_growth:
  - 966
  - 969
  - 974
  - 976
  - 977
  scipy.optimize._shgo.SHGO.finite_iterations:
  - 896
  - 897
  - 898
  - 901
  - 902
  - 894
  - 895
  scipy.optimize._shgo.SHGO.finite_precision:
  - 960
  - 930
  - 937
  - 938
  - 939
  - 940
  - 942
  - 946
  - 947
  - 950
  - 951
  - 954
  - 955
  scipy.optimize._shgo.SHGO.finite_time:
  - 923
  - 924
  - 926
  scipy.optimize._shgo.SHGO.g_topograph:
  - 1249
  - 1247
  - 1246
  - 1239
  scipy.optimize._shgo.SHGO.init_options:
  - 769
  - 772
  - 776
  - 778
  - 781
  - 783
  - 784
  - 785
  - 788
  - 792
  - 795
  - 796
  - 797
  - 802
  - 803
  - 806
  - 746
  - 762
  - 766
  - 767
  scipy.optimize._shgo.SHGO.iterate:
  - 1009
  - 1010
  - 1011
  - 1006
  scipy.optimize._shgo.SHGO.iterate_all:
  - 833
  - 834
  - 839
  - 840
  - 841
  - 817
  - 826
  - 827
  - 830
  scipy.optimize._shgo.SHGO.iterate_delaunay:
  - 1064
  - 1070
  - 1073
  - 1074
  - 1075
  - 1076
  - 1079
  - 1080
  - 1081
  - 1083
  - 1084
  - 1085
  - 1087
  - 1089
  - 1092
  - 1093
  - 1096
  - 1097
  - 1100
  - 1101
  - 1105
  - 1106
  - 1110
  - 1111
  - 1112
  scipy.optimize._shgo.SHGO.iterate_hypercube:
  - 1024
  - 1056
  - 1026
  - 1027
  - 1028
  - 1057
  - 1030
  - 1033
  - 1034
  - 1038
  - 1039
  - 1041
  - 1042
  - 1043
  - 1017
  - 1055
  - 1023
  scipy.optimize._shgo.SHGO.minimise_pool:
  - 1218
  - 1187
  - 1190
  - 1194
  - 1197
  - 1199
  - 1203
  - 1173
  - 1210
  - 1215
  scipy.optimize._shgo.SHGO.minimize:
  - 1312
  - 1328
  - 1329
  - 1331
  - 1332
  - 1336
  - 1337
  - 1339
  - 1340
  - 1342
  - 1343
  - 1345
  - 1346
  - 1347
  - 1348
  - 1350
  - 1353
  - 1354
  - 1356
  - 1358
  - 1359
  - 1360
  - 1363
  - 1365
  - 1366
  - 1370
  - 1372
  - 1378
  - 1381
  - 1382
  scipy.optimize._shgo.SHGO.minimizers:
  - 1157
  - 1158
  - 1159
  - 1160
  - 1162
  - 1163
  - 1166
  - 1121
  - 1126
  - 1128
  - 1129
  - 1130
  - 1132
  - 1135
  - 1136
  - 1137
  - 1138
  - 1139
  - 1140
  - 1142
  - 1143
  - 1145
  - 1146
  - 1147
  - 1148
  - 1149
  - 1151
  scipy.optimize._shgo.SHGO.sampled_surface:
  - 1411
  - 1427
  - 1428
  - 1429
  - 1430
  - 1431
  - 1432
  - 1434
  - 1435
  - 1438
  scipy.optimize._shgo.SHGO.sampling_custom:
  - 1444
  - 1450
  - 1451
  - 1453
  - 1455
  scipy.optimize._shgo.SHGO.sampling_subspace:
  - 1475
  - 1480
  - 1481
  - 1462
  - 1464
  - 1469
  - 1470
  scipy.optimize._shgo.SHGO.sort_min_pool:
  - 1226
  - 1227
  - 1228
  scipy.optimize._shgo.SHGO.sort_result:
  - 1392
  - 1388
  scipy.optimize._shgo.SHGO.sorted_samples:
  - 1484
  - 1485
  scipy.optimize._shgo.SHGO.stopping_criteria:
  - 992
  - 993
  - 994
  - 995
  - 996
  - 997
  - 998
  - 999
  - 1000
  - 1001
  - 1002
  - 982
  - 989
  - 990
  - 991
  scipy.optimize._shgo.SHGO.trim_min_pool:
  - 1233
  - 1234
  - 1235
  scipy.optimize._shgo.shgo:
  - 448
  - 454
  - 456
  - 457
  - 458
  - 461
  - 464
  - 466
  - 443
  - 442
  - 27
  - 477
  scipy.optimize._shgo_lib._complex:
  - 1
  scipy.optimize._shgo_lib._complex.Complex:
  - 14
  scipy.optimize._shgo_lib._complex.Complex.__init__:
  - 136
  - 168
  - 140
  - 172
  - 173
  - 143
  - 144
  - 145
  - 177
  - 147
  - 178
  - 149
  - 150
  - 151
  - 183
  - 122
  scipy.optimize._shgo_lib._complex.Complex.connect_vertex_non_symm:
  - 1076
  - 1094
  - 1099
  - 1100
  - 1105
  - 1108
  - 1109
  - 1111
  - 1112
  - 1114
  - 1118
  - 1122
  - 1123
  - 1124
  - 1125
  - 1129
  - 1130
  - 1131
  - 1135
  - 1137
  - 1138
  - 1144
  - 1145
  - 1146
  - 1148
  scipy.optimize._shgo_lib._complex.Complex.cyclic_product:
  - 259
  - 260
  - 263
  - 264
  - 265
  - 266
  - 269
  - 270
  - 273
  - 277
  - 279
  - 280
  - 281
  - 284
  - 285
  - 287
  - 288
  - 291
  - 292
  - 298
  - 300
  - 304
  - 307
  - 312
  - 313
  - 314
  - 315
  - 317
  - 318
  - 319
  - 192
  - 320
  - 194
  - 195
  - 196
  - 321
  - 198
  - 199
  - 200
  - 322
  - 324
  - 326
  - 329
  - 210
  - 212
  - 214
  - 215
  - 343
  - 347
  - 221
  - 349
  - 223
  - 224
  - 350
  - 351
  - 352
  - 355
  - 230
  - 234
  - 235
  - 237
  - 238
  - 241
  - 245
  - 247
  - 249
  - 252
  - 255
  scipy.optimize._shgo_lib._complex.Complex.deg_simplex:
  - 1201
  - 1222
  - 1214
  scipy.optimize._shgo_lib._complex.Complex.in_simplex:
  - 1153
  - 1185
  - 1189
  - 1193
  - 1169
  - 1171
  - 1172
  - 1182
  scipy.optimize._shgo_lib._complex.Complex.refine:
  - 480
  - 482
  - 487
  - 490
  - 495
  - 499
  - 502
  - 503
  - 474
  - 476
  - 477
  - 510
  scipy.optimize._shgo_lib._complex.Complex.refine_all:
  - 514
  - 516
  - 517
  - 518
  - 519
  - 520
  - 521
  - 523
  - 525
  scipy.optimize._shgo_lib._complex.Complex.refine_local_space:
  - 536
  - 537
  - 543
  - 544
  - 545
  - 546
  - 547
  - 548
  - 552
  - 553
  - 558
  - 561
  - 571
  - 573
  - 577
  - 580
  - 581
  - 583
  - 585
  - 587
  - 588
  - 589
  - 597
  - 599
  - 600
  - 601
  - 604
  - 615
  - 618
  - 623
  - 626
  - 628
  - 632
  - 634
  - 635
  - 636
  - 637
  - 644
  - 645
  - 646
  - 649
  - 650
  - 651
  - 652
  - 653
  - 654
  - 655
  - 656
  - 657
  - 659
  - 660
  - 661
  - 662
  - 664
  - 665
  - 667
  - 668
  - 669
  - 670
  - 673
  - 674
  - 675
  - 676
  - 677
  - 678
  - 679
  - 682
  - 683
  - 684
  - 685
  - 686
  - 687
  - 688
  - 689
  - 690
  - 691
  - 692
  - 693
  - 694
  - 695
  - 696
  - 702
  - 703
  - 704
  - 706
  - 707
  - 709
  - 710
  - 711
  - 712
  - 713
  - 714
  - 720
  - 721
  - 722
  - 725
  - 726
  - 727
  - 728
  - 729
  - 730
  - 731
  - 732
  - 733
  - 734
  - 735
  - 736
  - 737
  - 738
  - 739
  - 740
  - 741
  - 742
  - 743
  - 744
  - 745
  - 746
  - 747
  - 749
  - 750
  - 751
  - 752
  - 753
  - 756
  - 757
  - 758
  - 759
  - 760
  - 761
  - 762
  - 763
  - 764
  - 765
  - 766
  - 767
  - 768
  - 769
  - 770
  - 771
  - 772
  - 773
  - 774
  - 779
  - 780
  - 781
  - 784
  - 785
  - 786
  - 787
  - 789
  - 790
  - 792
  - 793
  - 796
  - 797
  - 800
  - 801
  - 803
  - 804
  - 805
  - 806
  - 807
  - 808
  - 809
  - 810
  - 811
  - 812
  - 813
  - 815
  - 816
  - 818
  - 819
  - 821
  - 822
  - 823
  - 826
  - 829
  - 830
  - 831
  - 832
  - 833
  - 834
  - 835
  - 836
  - 837
  - 840
  - 841
  - 842
  - 843
  - 844
  - 845
  - 848
  - 851
  - 852
  - 853
  - 856
  - 857
  - 858
  - 859
  - 860
  - 861
  - 862
  - 863
  - 864
  - 865
  - 866
  - 867
  - 868
  - 869
  - 870
  - 871
  - 872
  - 877
  - 878
  - 879
  - 886
  - 888
  - 893
  - 894
  - 896
  - 897
  - 898
  - 899
  - 900
  - 901
  - 902
  - 903
  - 904
  - 906
  - 908
  - 909
  - 912
  - 913
  - 914
  - 917
  - 919
  - 932
  - 933
  - 938
  - 939
  - 942
  - 943
  - 945
  - 947
  - 949
  - 952
  - 954
  - 956
  - 960
  - 962
  - 963
  - 965
  - 968
  - 969
  - 970
  - 974
  scipy.optimize._shgo_lib._complex.Complex.refine_star:
  - 992
  - 993
  - 994
  - 995
  - 978
  - 980
  - 982
  - 983
  - 984
  - 986
  - 987
  - 989
  - 990
  - 991
  scipy.optimize._shgo_lib._complex.Complex.split_edge:
  - 1003
  - 1008
  - 1010
  - 1012
  - 1013
  scipy.optimize._shgo_lib._complex.Complex.triangulate:
  - 401
  - 410
  - 413
  - 414
  - 415
  - 421
  - 423
  - 433
  - 435
  - 436
  - 437
  - 440
  - 441
  - 443
  - 444
  - 449
  - 451
  - 455
  - 456
  - 459
  - 460
  - 462
  - 463
  - 465
  - 468
  - 469
  - 360
  scipy.optimize._shgo_lib._complex.Complex.vf_to_vv:
  - 1063
  - 1064
  - 1065
  - 1066
  - 1067
  - 1068
  - 1070
  - 1071
  - 1072
  - 1053
  scipy.optimize._shgo_lib._complex.Complex.vpool:
  - 1026
  - 1027
  - 1028
  - 1029
  - 1031
  - 1037
  - 1038
  - 1039
  - 1040
  - 1041
  - 1042
  - 1043
  - 1047
  - 1017
  - 1018
  scipy.optimize._shgo_lib._vertex.ConstraintWrapper:
  - 431
  scipy.optimize._shgo_lib._vertex.ConstraintWrapper.gcons:
  - 440
  - 438
  scipy.optimize._shgo_lib._vertex.FieldWrapper:
  - 447
  scipy.optimize._shgo_lib._vertex.FieldWrapper.func:
  - 457
  - 454
  scipy.optimize._shgo_lib._vertex.VertexBase:
  - 10
  scipy.optimize._shgo_lib._vertex.VertexBase.__getattr__:
  - 40
  - 43
  - 44
  scipy.optimize._shgo_lib._vertex.VertexBase.__init__:
  - 32
  - 14
  - 27
  - 29
  - 30
  scipy.optimize._shgo_lib._vertex.VertexBase.star:
  - 58
  - 71
  scipy.optimize._shgo_lib._vertex.VertexCacheBase:
  - 180
  scipy.optimize._shgo_lib._vertex.VertexCacheBase.__init__:
  - 183
  scipy.optimize._shgo_lib._vertex.VertexCacheBase.__iter__:
  - 188
  - 189
  scipy.optimize._shgo_lib._vertex.VertexCacheBase.print_out:
  - 197
  - 198
  - 199
  - 200
  - 201
  - 202
  scipy.optimize._shgo_lib._vertex.VertexCacheBase.size:
  - 193
  scipy.optimize._shgo_lib._vertex.VertexCacheField.__getitem__:
  - 315
  - 316
  - 309
  scipy.optimize._shgo_lib._vertex.VertexCacheField.__getstate__:
  - 320
  scipy.optimize._shgo_lib._vertex.VertexCacheField.__init__:
  - 289
  - 291
  - 293
  - 282
  - 299
  - 272
  - 277
  - 281
  - 250
  - 285
  scipy.optimize._shgo_lib._vertex.VertexCacheField.compute_sfield:
  - 352
  - 347
  - 340
  scipy.optimize._shgo_lib._vertex.VertexCacheField.feasibility_check:
  - 332
  - 334
  scipy.optimize._shgo_lib._vertex.VertexCacheField.pproc_fpool_g:
  - 389
  - 392
  - 394
  - 395
  - 396
  - 399
  - 400
  - 401
  - 405
  scipy.optimize._shgo_lib._vertex.VertexCacheField.pproc_fpool_nog:
  - 416
  - 417
  - 421
  - 408
  - 411
  - 413
  - 414
  - 415
  scipy.optimize._shgo_lib._vertex.VertexCacheField.pproc_gpool:
  - 364
  - 366
  - 367
  - 369
  - 370
  scipy.optimize._shgo_lib._vertex.VertexCacheField.proc_fpool_g:
  - 374
  - 375
  - 376
  - 377
  - 379
  scipy.optimize._shgo_lib._vertex.VertexCacheField.proc_fpool_nog:
  - 384
  - 386
  - 382
  - 383
  scipy.optimize._shgo_lib._vertex.VertexCacheField.proc_gpool:
  - 356
  - 357
  - 358
  - 359
  - 361
  scipy.optimize._shgo_lib._vertex.VertexCacheField.proc_minimisers:
  - 424
  - 425
  - 426
  - 427
  scipy.optimize._shgo_lib._vertex.VertexCacheField.process_pools:
  - 328
  - 325
  - 326
  - 327
  scipy.optimize._shgo_lib._vertex.VertexCacheIndex.__getitem__:
  - 239
  scipy.optimize._shgo_lib._vertex.VertexCacheIndex.__init__:
  - 224
  - 231
  scipy.optimize._shgo_lib._vertex.VertexCube:
  - 206
  scipy.optimize._shgo_lib._vertex.VertexCube.__init__:
  - 209
  scipy.optimize._shgo_lib._vertex.VertexCube.connect:
  - 212
  - 213
  - 214
  scipy.optimize._shgo_lib._vertex.VertexCube.disconnect:
  - 217
  - 218
  - 219
  scipy.optimize._shgo_lib._vertex.VertexScalarField:
  - 76
  scipy.optimize._shgo_lib._vertex.VertexScalarField.__init__:
  - 83
  - 102
  scipy.optimize._shgo_lib._vertex.VertexScalarField.connect:
  - 125
  - 123
  - 124
  - 117
  scipy.optimize._shgo_lib._vertex.VertexScalarField.disconnect:
  - 136
  - 134
  - 135
  scipy.optimize._shgo_lib._vertex.VertexScalarField.maximiser:
  - 154
  - 158
  - 159
  scipy.optimize._shgo_lib._vertex.VertexScalarField.minimiser:
  - 145
  - 147
  - 148
  scipy.optimize._shgo_lib._vertex.VertexVectorField:
  - 166
  scipy.optimize._shgo_lib._vertex.VertexVectorField.__init__:
  - 174
  scipy.optimize._slsqp_py:
  - 1
  - 35
  scipy.optimize._slsqp_py._eval_con_normals:
  - 494
  - 495
  - 498
  - 500
  - 501
  - 504
  - 507
  - 508
  - 510
  - 511
  scipy.optimize._slsqp_py._eval_constraint:
  - 481
  - 482
  - 485
  - 488
  - 475
  - 476
  - 479
  scipy.optimize._slsqp_py._minimize_slsqp:
  - 223
  - 246
  - 251
  - 255
  - 256
  - 258
  - 260
  - 264
  - 267
  - 270
  - 273
  - 277
  - 280
  - 289
  - 293
  - 297
  - 298
  - 315
  - 320
  - 336
  - 338
  - 343
  - 345
  - 353
  - 354
  - 357
  - 358
  - 359
  - 360
  - 361
  - 363
  - 365
  - 369
  - 372
  - 378
  - 383
  - 388
  - 389
  - 392
  - 393
  - 394
  - 398
  - 399
  - 400
  - 401
  - 402
  - 403
  - 404
  - 405
  - 406
  - 407
  - 408
  - 409
  - 410
  - 411
  - 412
  - 413
  - 414
  - 415
  - 418
  - 419
  - 424
  - 425
  - 426
  - 427
  - 431
  - 436
  - 437
  - 438
  - 440
  - 441
  - 442
  - 444
  - 446
  - 447
  - 450
  - 451
  - 452
  - 455
  - 458
  - 461
  - 462
  - 463
  - 464
  - 465
  - 466
  - 468
  - 469
  - 470
  scipy.optimize._slsqp_py._minimize_slsqp.cjac_factory.cjac:
  - 305
  - 306
  - 310
  - 303
  scipy.optimize._slsqp_py.approx_jacobian:
  - 65
  - 69
  - 39
  scipy.optimize._slsqp_py.fmin_slsqp:
  - 198
  - 199
  - 203
  - 77
  - 206
  - 210
  - 212
  - 184
  scipy.optimize._spectral:
  - 1
  scipy.optimize._spectral._complex2real:
  - 260
  scipy.optimize._spectral._real2complex:
  - 256
  scipy.optimize._spectral._root_df_sane:
  - 131
  - 133
  - 134
  - 136
  - 137
  - 145
  - 18
  - 153
  - 154
  - 158
  - 159
  - 161
  - 64
  - 66
  - 71
  - 78
  - 87
  - 94
  - 97
  - 107
  - 109
  - 110
  - 112
  - 113
  - 115
  - 122
  - 123
  - 124
  scipy.optimize._spectral._root_df_sane.fmerit:
  - 84
  scipy.optimize._spectral._wrap_func:
  - 227
  - 228
  - 169
  - 239
  - 208
  - 210
  - 211
  - 212
  - 216
  scipy.optimize._spectral._wrap_func.wrap_func:
  - 224
  - 231
  - 234
  - 235
  - 236
  - 218
  - 221
  - 222
  - 223
  scipy.optimize._spectral._wrap_result:
  - 243
  - 246
  - 247
  - 250
  - 251
  scipy.optimize._tnc:
  - 25
  scipy.optimize._tnc._minimize_tnc:
  - 386
  - 392
  - 393
  - 394
  - 395
  - 399
  - 403
  - 408
  - 409
  - 411
  - 412
  - 414
  - 415
  - 417
  - 290
  - 426
  - 428
  - 354
  - 358
  - 359
  - 361
  - 363
  - 365
  - 367
  - 369
  - 371
  - 373
  - 374
  - 376
  - 381
  scipy.optimize._tnc.fmin_tnc:
  - 257
  - 260
  - 247
  - 250
  - 251
  - 279
  - 93
  scipy.optimize._trlib.get_trlib_quadratic_subproblem.subproblem_factory:
  - 8
  scipy.optimize._trustregion:
  - 1
  scipy.optimize._trustregion.BaseQuadraticSubproblem:
  - 31
  scipy.optimize._trustregion.BaseQuadraticSubproblem.__call__:
  - 54
  scipy.optimize._trustregion.BaseQuadraticSubproblem.fun:
  - 58
  - 59
  - 60
  scipy.optimize._trustregion.BaseQuadraticSubproblem.get_boundaries_intersections:
  - 96
  - 97
  - 98
  - 99
  - 108
  - 111
  - 91
  scipy.optimize._trustregion.BaseQuadraticSubproblem.hess:
  - 72
  - 73
  - 74
  scipy.optimize._trustregion.BaseQuadraticSubproblem.hessp:
  - 81
  - 78
  - 79
  scipy.optimize._trustregion.BaseQuadraticSubproblem.jac:
  - 65
  - 66
  - 67
  scipy.optimize._trustregion.BaseQuadraticSubproblem.jac_mag:
  - 85
  - 86
  - 87
  scipy.optimize._trustregion._minimize_trust_region:
  - 257
  - 258
  - 261
  - 262
  - 266
  - 271
  - 149
  - 151
  - 154
  - 282
  - 283
  - 157
  - 284
  - 286
  - 160
  - 287
  - 162
  - 288
  - 164
  - 289
  - 166
  - 290
  - 291
  - 293
  - 298
  - 171
  - 301
  - 175
  - 178
  - 180
  - 184
  - 199
  - 202
  - 203
  - 211
  - 213
  - 225
  - 231
  - 235
  - 240
  - 246
  - 248
  - 249
  - 123
  - 252
  scipy.optimize._trustregion._minimize_trust_region.hessp:
  - 193
  scipy.optimize._trustregion._wrap_function:
  - 19
  scipy.optimize._trustregion._wrap_function.function_wrapper:
  - 25
  scipy.optimize._trustregion_constr:
  - 1
  scipy.optimize._trustregion_constr.canonical_constraint.CanonicalConstraint:
  - 6
  scipy.optimize._trustregion_constr.canonical_constraint.CanonicalConstraint._equal_to_canonical:
  - 160
  - 161
  - 163
  - 174
  - 176
  - 177
  - 179
  - 181
  - 153
  - 158
  scipy.optimize._trustregion_constr.canonical_constraint.CanonicalConstraint._equal_to_canonical.fun:
  - 166
  scipy.optimize._trustregion_constr.canonical_constraint.CanonicalConstraint._equal_to_canonical.hess:
  - 172
  scipy.optimize._trustregion_constr.canonical_constraint.CanonicalConstraint._equal_to_canonical.jac:
  - 169
  scipy.optimize._trustregion_constr.canonical_constraint.CanonicalConstraint._greater_to_canonical:
  - 225
  - 227
  - 228
  - 261
  - 230
  - 234
  - 236
  - 246
  scipy.optimize._trustregion_constr.canonical_constraint.CanonicalConstraint._greater_to_canonical.fun:
  - 251
  - 238
  scipy.optimize._trustregion_constr.canonical_constraint.CanonicalConstraint._greater_to_canonical.hess:
  - 257
  - 259
  - 244
  scipy.optimize._trustregion_constr.canonical_constraint.CanonicalConstraint._greater_to_canonical.jac:
  - 241
  - 254
  scipy.optimize._trustregion_constr.canonical_constraint.CanonicalConstraint._interval_to_canonical:
  - 327
  - 272
  - 273
  - 274
  - 275
  - 282
  scipy.optimize._trustregion_constr.canonical_constraint.CanonicalConstraint._interval_to_canonical.fun:
  - 288
  - 294
  scipy.optimize._trustregion_constr.canonical_constraint.CanonicalConstraint._interval_to_canonical.hess:
  - 325
  - 319
  scipy.optimize._trustregion_constr.canonical_constraint.CanonicalConstraint._interval_to_canonical.jac:
  - 304
  - 297
  - 306
  - 303
  scipy.optimize._trustregion_constr.canonical_constraint.CanonicalConstraint._less_to_canonical:
  - 194
  - 196
  - 206
  - 185
  - 187
  - 188
  - 221
  - 190
  scipy.optimize._trustregion_constr.canonical_constraint.CanonicalConstraint._less_to_canonical.fun:
  - 211
  - 198
  scipy.optimize._trustregion_constr.canonical_constraint.CanonicalConstraint._less_to_canonical.hess:
  - 217
  - 219
  - 204
  scipy.optimize._trustregion_constr.canonical_constraint.CanonicalConstraint._less_to_canonical.jac:
  - 201
  - 214
  scipy.optimize._trustregion_constr.canonical_constraint.CanonicalConstraint.concatenate:
  - 110
  - 144
  - 145
  - 146
  - 149
  - 95
  scipy.optimize._trustregion_constr.canonical_constraint.CanonicalConstraint.concatenate.fun:
  - 104
  - 108
  - 102
  - 103
  scipy.optimize._trustregion_constr.canonical_constraint.CanonicalConstraint.concatenate.hess:
  - 128
  - 131
  - 142
  scipy.optimize._trustregion_constr.canonical_constraint.CanonicalConstraint.concatenate.hess.matvec:
  - 136
  - 137
  - 138
  scipy.optimize._trustregion_constr.canonical_constraint.CanonicalConstraint.concatenate.jac:
  - 122
  - 116
  - 117
  - 118
  scipy.optimize._trustregion_constr.canonical_constraint.CanonicalConstraint.empty:
  - 73
  - 78
  - 79
  - 80
  - 91
  scipy.optimize._trustregion_constr.canonical_constraint.CanonicalConstraint.from_PreparedConstraint:
  - 64
  - 65
  - 66
  - 67
  - 69
  - 52
  - 57
  - 58
  - 60
  - 61
  - 62
  - 63
  scipy.optimize._trustregion_constr.canonical_constraint.initial_constraints_as_canonical:
  - 385
  - 387
  - 388
  - 331
  - 342
  - 346
  - 347
  - 348
  - 349
  - 351
  - 352
  - 353
  - 355
  - 356
  - 365
  - 366
  - 367
  - 368
  - 369
  - 371
  - 372
  - 373
  - 374
  - 375
  - 377
  - 378
  - 380
  - 382
  scipy.optimize._trustregion_constr.equality_constrained_sqp:
  - 1
  scipy.optimize._trustregion_constr.equality_constrained_sqp.default_scaling:
  - 13
  - 14
  scipy.optimize._trustregion_constr.equality_constrained_sqp.equality_constrained_sqp:
  - 128
  - 131
  - 134
  - 136
  - 138
  - 144
  - 146
  - 147
  - 149
  - 27
  - 157
  - 158
  - 160
  - 162
  - 164
  - 165
  - 167
  - 171
  - 178
  - 179
  - 181
  - 182
  - 185
  - 188
  - 61
  - 189
  - 191
  - 64
  - 65
  - 66
  - 67
  - 197
  - 70
  - 200
  - 201
  - 203
  - 205
  - 78
  - 207
  - 80
  - 82
  - 211
  - 84
  - 212
  - 87
  - 88
  - 93
  - 101
  - 113
  - 114
  - 115
  - 118
  - 126
  scipy.optimize._trustregion_constr.minimize_trustregion_constr.HessianLinearOperator:
  - 26
  scipy.optimize._trustregion_constr.minimize_trustregion_constr.HessianLinearOperator.__call__:
  - 35
  scipy.optimize._trustregion_constr.minimize_trustregion_constr.HessianLinearOperator.__call__.matvec:
  - 33
  scipy.optimize._trustregion_constr.minimize_trustregion_constr.LagrangianHessian:
  - 39
  scipy.optimize._trustregion_constr.minimize_trustregion_constr.LagrangianHessian.__call__:
  - 56
  - 50
  - 51
  scipy.optimize._trustregion_constr.minimize_trustregion_constr.LagrangianHessian.__call__.matvec:
  - 54
  scipy.optimize._trustregion_constr.minimize_trustregion_constr._minimize_trustregion_constr:
  - 385
  - 382
  - 391
  - 519
  - 395
  - 527
  - 528
  - 405
  - 408
  - 549
  - 550
  - 551
  - 552
  - 553
  - 554
  - 555
  - 556
  - 557
  - 558
  - 315
  - 316
  - 317
  - 318
  - 319
  - 321
  - 322
  - 452
  - 325
  - 326
  - 327
  - 328
  - 329
  - 330
  - 331
  - 337
  - 341
  - 346
  - 350
  - 351
  - 503
  - 356
  - 359
  - 360
  - 504
  - 362
  - 505
  - 366
  - 370
  - 499
  - 500
  - 373
  - 374
  - 375
  - 501
  - 502
  - 378
  - 508
  - 126
  scipy.optimize._trustregion_constr.minimize_trustregion_constr._minimize_trustregion_constr.fun_and_constr:
  - 510
  - 511
  scipy.optimize._trustregion_constr.minimize_trustregion_constr._minimize_trustregion_constr.grad_and_jac:
  - 515
  - 516
  scipy.optimize._trustregion_constr.minimize_trustregion_constr._minimize_trustregion_constr.stop_criteria:
  - 412
  - 416
  - 417
  - 424
  - 425
  - 436
  - 439
  - 442
  - 445
  - 447
  - 449
  - 456
  - 460
  - 461
  - 468
  - 469
  - 481
  - 484
  - 487
  - 490
  - 492
  - 495
  scipy.optimize._trustregion_constr.minimize_trustregion_constr.update_state_ip:
  - 106
  scipy.optimize._trustregion_constr.minimize_trustregion_constr.update_state_sqp:
  - 65
  - 67
  - 69
  - 72
  - 80
  - 81
  - 82
  - 83
  - 86
  - 89
  - 90
  - 91
  - 93
  scipy.optimize._trustregion_constr.projections:
  - 1
  scipy.optimize._trustregion_constr.projections.augmented_system_projections:
  - 101
  - 103
  - 106
  - 93
  - 95
  scipy.optimize._trustregion_constr.projections.augmented_system_projections.least_squares:
  - 154
  - 151
  scipy.optimize._trustregion_constr.projections.augmented_system_projections.null_space:
  - 131
  - 134
  - 117
  - 120
  - 126
  - 127
  scipy.optimize._trustregion_constr.projections.augmented_system_projections.row_space:
  - 168
  - 165
  scipy.optimize._trustregion_constr.projections.normal_equation_projections:
  - 58
  - 61
  scipy.optimize._trustregion_constr.projections.normal_equation_projections.least_squares:
  - 83
  scipy.optimize._trustregion_constr.projections.normal_equation_projections.null_space:
  - 65
  - 66
  - 71
  - 72
  - 75
  - 76
  scipy.optimize._trustregion_constr.projections.normal_equation_projections.row_space:
  - 87
  scipy.optimize._trustregion_constr.projections.orthogonality:
  - 40
  - 42
  - 43
  - 45
  - 48
  - 51
  - 23
  scipy.optimize._trustregion_constr.projections.projections:
  - 385
  - 387
  - 390
  - 392
  - 393
  - 395
  - 396
  - 398
  - 399
  - 401
  - 403
  - 404
  - 405
  - 292
  - 365
  - 369
  - 370
  - 373
  - 374
  - 376
  - 378
  - 379
  scipy.optimize._trustregion_constr.projections.qr_factorization_projections:
  - 176
  - 179
  - 181
  - 182
  - 185
  scipy.optimize._trustregion_constr.projections.qr_factorization_projections.least_squares:
  - 218
  - 219
  - 220
  scipy.optimize._trustregion_constr.projections.qr_factorization_projections.null_space:
  - 193
  - 194
  - 195
  - 197
  - 202
  - 203
  - 206
  - 207
  - 210
  scipy.optimize._trustregion_constr.projections.qr_factorization_projections.row_space:
  - 228
  - 231
  scipy.optimize._trustregion_constr.projections.svd_factorization_projections:
  - 241
  - 238
  scipy.optimize._trustregion_constr.projections.svd_factorization_projections.least_squares:
  - 275
  - 277
  scipy.optimize._trustregion_constr.projections.svd_factorization_projections.null_space:
  - 259
  - 260
  - 263
  - 265
  - 267
  - 251
  - 253
  - 254
  scipy.optimize._trustregion_constr.projections.svd_factorization_projections.row_space:
  - 283
  - 285
  scipy.optimize._trustregion_constr.qp_subproblem:
  - 1
  scipy.optimize._trustregion_constr.qp_subproblem.box_intersections:
  - 224
  - 193
  - 223
  - 230
  - 231
  - 200
  - 204
  - 214
  - 215
  - 153
  - 218
  - 188
  - 189
  - 190
  - 191
  scipy.optimize._trustregion_constr.qp_subproblem.box_sphere_intersections:
  - 290
  - 291
  - 292
  - 297
  - 239
  - 285
  - 287
  scipy.optimize._trustregion_constr.qp_subproblem.eqp_kktfact:
  - 44
  - 45
  - 50
  - 52
  - 21
  - 57
  - 58
  scipy.optimize._trustregion_constr.qp_subproblem.inside_box_boundaries:
  - 306
  - 307
  scipy.optimize._trustregion_constr.qp_subproblem.modified_dogleg:
  - 385
  - 392
  - 363
  - 365
  - 366
  - 400
  - 371
  - 405
  - 374
  - 375
  - 377
  - 316
  - 383
  scipy.optimize._trustregion_constr.qp_subproblem.projected_cg:
  - 516
  - 518
  - 519
  - 524
  - 525
  - 527
  - 528
  - 529
  - 530
  - 532
  - 534
  - 536
  - 542
  - 415
  - 544
  - 546
  - 551
  - 553
  - 554
  - 559
  - 562
  - 566
  - 577
  - 579
  - 582
  - 586
  - 593
  - 598
  - 599
  - 601
  - 605
  - 609
  - 612
  - 613
  - 635
  - 618
  - 620
  - 493
  - 494
  - 497
  - 498
  - 499
  - 627
  - 628
  - 630
  - 503
  - 506
  - 507
  - 510
  - 511
  scipy.optimize._trustregion_constr.qp_subproblem.reinforce_box_boundaries:
  - 312
  - 311
  scipy.optimize._trustregion_constr.qp_subproblem.sphere_intersections:
  - 98
  - 67
  - 130
  - 101
  - 102
  - 132
  - 137
  - 111
  - 112
  - 113
  - 145
  - 115
  - 146
  - 118
  - 127
  scipy.optimize._trustregion_constr.report:
  - 1
  scipy.optimize._trustregion_constr.report.ReportBase.print_footer:
  - 27
  scipy.optimize._trustregion_constr.report.ReportBase.print_header:
  - 16
  - 17
  - 13
  scipy.optimize._trustregion_constr.report.ReportBase.print_iteration:
  - 22
  - 23
  scipy.optimize._trustregion_constr.tr_interior_point:
  - 1
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  scipy.signal._filter_design._find_nat_freq:
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  scipy.signal._filter_design._hz_to_erb:
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  scipy.signal._filter_design._norm_factor.cutoff:
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  scipy.signal._filter_design.bilinear:
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  scipy.signal._filter_design.cheb2ap:
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  scipy.signal._filter_design.cheby1:
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  scipy.signal._filter_design.cheby2:
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  scipy.signal._filter_design.ellip:
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  scipy.signal._filter_design.ellipap:
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  scipy.signal._filter_design.ellipord:
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  scipy.signal._filter_design.findfreqs:
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  - 99
  - 103
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  - 111
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  scipy.signal._filter_design.freqs:
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  scipy.signal._filter_design.freqs_zpk:
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  scipy.signal._filter_design.gammatone:
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  scipy.signal._filter_design.group_delay:
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  scipy.signal._filter_design.iircomb:
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  scipy.signal._filter_design.iirdesign:
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  scipy.signal._filter_design.iirnotch:
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  scipy.signal._filter_design.iirpeak:
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  scipy.signal._filter_design.lp2bp:
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  scipy.signal._filter_design.lp2bp_zpk:
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  scipy.signal._filter_design.lp2bs_zpk:
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  scipy.signal._filter_design.lp2hp:
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  - 1966
  - 1968
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  scipy.signal._filter_design.lp2hp_zpk:
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  - 2900
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  scipy.signal._filter_design.lp2lp:
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  scipy.signal._filter_design.lp2lp_zpk:
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  scipy.signal._filter_design.normalize:
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  scipy.signal._filter_design.sos2zpk:
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  scipy.signal._filter_design.sosfreqz:
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  scipy.signal._filter_design.tf2sos:
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  scipy.signal._filter_design.tf2zpk:
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  scipy.signal._filter_design.zpk2sos:
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  scipy.signal._filter_design.zpk2sos.idx_worst:
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  scipy.signal._filter_design.zpk2tf:
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  scipy.signal._ltisys:
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  scipy.signal._ltisys.LinearTimeInvariant._as_zpk:
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  scipy.signal._ltisys.LinearTimeInvariant._dt_dict:
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  - 1415
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  - 1416
  - 1417
  - 1418
  - 1362
  - 1401
  - 1402
  - 1403
  - 1404
  - 1405
  scipy.signal._ltisys.StateSpace.__neg__:
  - 1440
  - 1441
  scipy.signal._ltisys.StateSpace.__new__:
  - 1313
  - 1315
  - 1316
  - 1319
  - 1320
  - 1321
  - 1324
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  scipy.signal._ltisys.StateSpace.__radd__:
  - 1499
  - 1502
  scipy.signal._ltisys.StateSpace.__repr__:
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  - 1348
  - 1350
  - 1351
  - 1352
  - 1353
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  scipy.signal._ltisys.StateSpace.__rmul__:
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  - 1423
  - 1429
  - 1430
  - 1432
  - 1433
  - 1434
  - 1435
  - 1436
  scipy.signal._ltisys.StateSpace.__rsub__:
  - 1505
  - 1508
  scipy.signal._ltisys.StateSpace.__sub__:
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  scipy.signal._ltisys.StateSpace.__truediv__:
  - 1522
  - 1515
  - 1518
  - 1511
  scipy.signal._ltisys.StateSpace._check_binop_other:
  - 1358
  scipy.signal._ltisys.StateSpace._copy:
  - 1563
  scipy.signal._ltisys.StateSpace.to_ss:
  - 1614
  - 1623
  scipy.signal._ltisys.StateSpace.to_tf:
  - 1592
  - 1578
  scipy.signal._ltisys.StateSpace.to_zpk:
  - 1610
  - 1596
  scipy.signal._ltisys.StateSpaceContinuous:
  - 1627
  scipy.signal._ltisys.StateSpaceContinuous.to_discrete:
  - 1684
  - 1693
  scipy.signal._ltisys.StateSpaceDiscrete:
  - 1701
  scipy.signal._ltisys.TransferFunction:
  - 492
  scipy.signal._ltisys.TransferFunction.__init__:
  - 600
  - 595
  - 589
  - 591
  scipy.signal._ltisys.TransferFunction.__new__:
  - 580
  - 586
  - 568
  - 569
  - 570
  - 573
  - 574
  - 575
  scipy.signal._ltisys.TransferFunction.__repr__:
  - 608
  - 603
  - 604
  - 606
  - 607
  scipy.signal._ltisys.TransferFunction._copy:
  - 637
  scipy.signal._ltisys.TransferFunction._z_to_zinv:
  - 705
  - 706
  - 707
  - 708
  - 709
  - 689
  scipy.signal._ltisys.TransferFunction._zinv_to_z:
  - 714
  - 730
  - 731
  - 732
  - 733
  - 734
  scipy.signal._ltisys.TransferFunction.den:
  - 634
  - 629
  scipy.signal._ltisys.TransferFunction.num:
  - 618
  - 621
  - 613
  scipy.signal._ltisys.TransferFunction.to_ss:
  - 675
  - 684
  scipy.signal._ltisys.TransferFunction.to_tf:
  - 650
  - 659
  scipy.signal._ltisys.TransferFunction.to_zpk:
  - 662
  - 671
  scipy.signal._ltisys.TransferFunctionContinuous:
  - 739
  scipy.signal._ltisys.TransferFunctionContinuous.to_discrete:
  - 808
  - 799
  scipy.signal._ltisys.TransferFunctionDiscrete:
  - 816
  scipy.signal._ltisys.ZerosPolesGain:
  - 881
  scipy.signal._ltisys.ZerosPolesGain.__init__:
  - 977
  - 972
  - 974
  scipy.signal._ltisys.ZerosPolesGain.__new__:
  - 962
  - 969
  - 950
  - 951
  - 952
  - 955
  - 956
  - 957
  scipy.signal._ltisys.ZerosPolesGain.__repr__:
  - 992
  - 986
  - 987
  - 989
  - 990
  - 991
  scipy.signal._ltisys.ZerosPolesGain._copy:
  - 1030
  scipy.signal._ltisys.ZerosPolesGain.gain:
  - 1022
  scipy.signal._ltisys.ZerosPolesGain.poles:
  - 1018
  - 1013
  scipy.signal._ltisys.ZerosPolesGain.to_ss:
  - 1069
  - 1078
  scipy.signal._ltisys.ZerosPolesGain.to_tf:
  - 1044
  - 1053
  scipy.signal._ltisys.ZerosPolesGain.to_zpk:
  - 1057
  - 1066
  scipy.signal._ltisys.ZerosPolesGain.zeros:
  - 1005
  - 1002
  - 997
  scipy.signal._ltisys.ZerosPolesGainContinuous:
  - 1083
  scipy.signal._ltisys.ZerosPolesGainContinuous.to_discrete:
  - 1144
  - 1145
  - 1135
  scipy.signal._ltisys.ZerosPolesGainDiscrete:
  - 1153
  scipy.signal._ltisys._KNV0:
  - 2403
  - 2404
  - 2373
  - 2382
  - 2392
  - 2394
  - 2395
  scipy.signal._ltisys._KNV0_loop:
  - 2659
  - 2668
  - 2669
  - 2670
  - 2672
  - 2673
  - 2674
  - 2676
  scipy.signal._ltisys._YT_complex:
  - 2485
  - 2489
  - 2490
  - 2495
  - 2496
  - 2499
  - 2501
  - 2515
  - 2516
  - 2517
  - 2519
  - 2520
  - 2521
  - 2524
  - 2526
  - 2527
  - 2528
  - 2531
  - 2532
  scipy.signal._ltisys._YT_loop:
  - 2560
  - 2562
  - 2563
  - 2564
  - 2566
  - 2567
  - 2569
  - 2570
  - 2571
  - 2573
  - 2574
  - 2575
  - 2576
  - 2577
  - 2579
  - 2580
  - 2581
  - 2582
  - 2583
  - 2585
  - 2586
  - 2587
  - 2588
  - 2589
  - 2591
  - 2592
  - 2593
  - 2595
  - 2597
  - 2598
  - 2600
  - 2601
  - 2602
  - 2603
  - 2604
  - 2606
  - 2607
  - 2608
  - 2610
  - 2611
  - 2612
  - 2613
  - 2614
  - 2616
  - 2620
  - 2621
  - 2622
  - 2624
  - 2625
  - 2627
  - 2634
  - 2636
  - 2637
  - 2638
  - 2639
  - 2641
  - 2642
  - 2643
  - 2645
  - 2646
  - 2647
  - 2651
  - 2536
  - 2546
  - 2554
  scipy.signal._ltisys._YT_real:
  - 2432
  - 2440
  - 2444
  - 2445
  - 2446
  - 2447
  - 2449
  - 2450
  - 2451
  - 2452
  - 2455
  - 2456
  - 2458
  - 2459
  - 2461
  - 2462
  - 2463
  - 2420
  - 2428
  - 2429
  scipy.signal._ltisys._default_response_times:
  - 1999
  - 2000
  - 2001
  - 2004
  - 1978
  scipy.signal._ltisys._order_complex_poles:
  - 2353
  - 2359
  - 2361
  - 2362
  - 2363
  - 2365
  - 2367
  scipy.signal._ltisys._valid_inputs:
  - 2336
  - 2338
  - 2309
  - 2310
  - 2341
  - 2313
  - 2314
  - 2346
  - 2316
  - 2318
  - 2320
  - 2323
  - 2326
  - 2327
  - 2328
  - 2333
  - 2302
  scipy.signal._ltisys.bode:
  - 2201
  - 2146
  - 2203
  - 2204
  scipy.signal._ltisys.dbode:
  - 3488
  - 3425
  - 3493
  - 3494
  - 3486
  scipy.signal._ltisys.dfreqresp:
  - 3393
  - 3395
  - 3397
  - 3399
  - 3417
  - 3402
  - 3406
  - 3411
  - 3414
  - 3415
  - 3325
  - 3418
  - 3388
  - 3389
  scipy.signal._ltisys.dimpulse:
  - 3201
  - 3202
  - 3203
  - 3207
  - 3210
  - 3215
  - 3152
  - 3216
  - 3218
  - 3222
  - 3223
  - 3226
  - 3228
  scipy.signal._ltisys.dlsim:
  - 3092
  - 3095
  - 3096
  - 3099
  - 3100
  - 3102
  - 3104
  - 3105
  - 3107
  - 3108
  - 3112
  - 3115
  - 3116
  - 3117
  - 3120
  - 3121
  - 3123
  - 3126
  - 3129
  - 3132
  - 3135
  - 3136
  - 3137
  - 3138
  - 3139
  - 3142
  - 3143
  - 3145
  - 3036
  scipy.signal._ltisys.dlti:
  - 301
  scipy.signal._ltisys.dlti.__init__:
  - 409
  - 414
  - 415
  scipy.signal._ltisys.dlti.__new__:
  - 390
  - 391
  - 392
  - 393
  - 394
  - 396
  - 397
  - 399
  - 400
  - 406
  scipy.signal._ltisys.dlti.bode:
  - 450
  - 477
  scipy.signal._ltisys.dlti.dt:
  - 421
  scipy.signal._ltisys.dlti.freqresp:
  - 480
  - 488
  scipy.signal._ltisys.dlti.impulse:
  - 433
  - 429
  scipy.signal._ltisys.dlti.output:
  - 443
  - 447
  scipy.signal._ltisys.dlti.step:
  - 440
  - 436
  scipy.signal._ltisys.dstep:
  - 3296
  - 3301
  - 3302
  - 3239
  - 3304
  - 3308
  - 3309
  - 3310
  - 3312
  - 3314
  - 3287
  - 3288
  - 3289
  - 3293
  scipy.signal._ltisys.freqresp:
  - 2272
  - 2210
  - 2274
  - 2278
  - 2283
  - 2286
  - 2288
  - 2289
  - 2263
  - 2264
  - 2267
  - 2268
  scipy.signal._ltisys.impulse:
  - 2056
  - 2057
  - 2058
  - 2062
  - 2063
  - 2064
  - 2066
  - 2067
  - 2069
  - 2070
  - 2072
  - 2009
  - 2074
  scipy.signal._ltisys.lsim:
  - 1922
  - 1923
  - 1926
  - 1930
  - 1933
  - 1942
  - 1943
  - 1945
  - 1948
  - 1961
  - 1962
  - 1963
  - 1964
  - 1965
  - 1966
  - 1970
  - 1973
  - 1974
  - 1870
  - 1871
  - 1872
  - 1876
  - 1877
  - 1878
  - 1881
  - 1886
  - 1887
  - 1888
  - 1890
  - 1763
  - 1892
  - 1894
  - 1899
  - 1900
  - 1902
  - 1903
  - 1904
  - 1905
  - 1906
  - 1909
  - 1912
  - 1915
  - 1916
  - 1918
  - 1919
  scipy.signal._ltisys.lti:
  - 134
  scipy.signal._ltisys.lti.__init__:
  - 225
  - 230
  scipy.signal._ltisys.lti.__new__:
  - 206
  - 207
  - 208
  - 209
  - 210
  - 212
  - 213
  - 215
  - 216
  - 222
  scipy.signal._ltisys.lti.bode:
  - 275
  - 254
  scipy.signal._ltisys.lti.freqresp:
  - 285
  - 278
  scipy.signal._ltisys.lti.impulse:
  - 233
  - 237
  scipy.signal._ltisys.lti.output:
  - 251
  - 247
  scipy.signal._ltisys.lti.step:
  - 240
  - 244
  scipy.signal._ltisys.lti.to_discrete:
  - 288
  scipy.signal._ltisys.place_poles:
  - 2961
  - 2963
  - 2964
  - 2965
  - 2966
  - 2967
  - 2972
  - 2974
  - 2977
  - 2979
  - 2980
  - 2982
  - 2989
  - 2865
  - 2994
  - 2997
  - 2998
  - 2875
  - 2876
  - 3009
  - 2882
  - 3011
  - 2685
  - 3020
  - 3022
  - 3024
  - 3025
  - 2902
  - 2906
  - 2907
  - 2908
  - 2909
  - 2910
  - 2913
  - 2914
  - 2927
  - 2928
  - 2931
  - 2941
  scipy.signal._ltisys.step:
  - 2127
  - 2128
  - 2129
  - 2133
  - 2134
  - 2136
  - 2137
  - 2139
  - 2140
  - 2141
  - 2079
  scipy.signal._max_len_seq:
  - 4
  scipy.signal._max_len_seq.max_len_seq:
  - 128
  - 131
  - 132
  - 134
  - 137
  - 138
  - 23
  - 105
  - 106
  - 107
  - 108
  - 111
  - 113
  - 114
  - 117
  - 119
  - 122
  - 123
  - 127
  scipy.signal._peak_finding:
  - 1
  scipy.signal._peak_finding._arg_peaks_as_expected:
  - 289
  - 293
  - 273
  - 283
  - 284
  - 286
  scipy.signal._peak_finding._arg_wlen_as_expected:
  - 299
  - 309
  - 313
  - 315
  - 316
  - 317
  scipy.signal._peak_finding._arg_x_as_expected:
  - 256
  - 266
  - 267
  scipy.signal._peak_finding._boolrelextrema:
  - 65
  - 69
  - 71
  - 72
  - 73
  - 74
  - 75
  - 76
  - 77
  - 78
  - 23
  scipy.signal._peak_finding._filter_ridge_lines:
  - 1184
  - 1185
  - 1186
  - 1187
  - 1198
  - 1139
  - 1173
  - 1174
  - 1175
  - 1176
  - 1178
  - 1179
  - 1183
  scipy.signal._peak_finding._filter_ridge_lines.filt_func:
  - 1193
  - 1194
  - 1191
  scipy.signal._peak_finding._identify_ridge_lines:
  - 1063
  - 1067
  - 1069
  - 1070
  - 1077
  - 1079
  - 1080
  - 1081
  - 1086
  - 1092
  - 1095
  - 1100
  - 1101
  - 1102
  - 1103
  - 1105
  - 1107
  - 1108
  - 1114
  - 1120
  - 1122
  - 1123
  - 1127
  - 1128
  - 1129
  - 1132
  - 1014
  scipy.signal._peak_finding._select_by_peak_threshold:
  - 716
  - 685
  - 718
  - 719
  - 720
  - 722
  - 723
  scipy.signal._peak_finding._select_by_property:
  - 679
  - 676
  - 677
  - 647
  scipy.signal._peak_finding._unpack_condition_args:
  - 597
  - 634
  - 635
  - 638
  - 639
  scipy.signal._peak_finding.argrelextrema:
  - 250
  - 252
  - 199
  scipy.signal._peak_finding.argrelmax:
  - 195
  - 142
  scipy.signal._peak_finding.argrelmin:
  - 138
  - 84
  scipy.signal._peak_finding.find_peaks:
  - 939
  - 940
  - 943
  - 946
  - 949
  - 950
  - 955
  - 957
  - 960
  - 961
  - 964
  - 966
  - 968
  - 969
  - 974
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  - 978
  - 980
  - 982
  - 984
  - 985
  - 987
  - 732
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  - 992
  - 993
  - 995
  - 997
  - 999
  - 1001
  - 1005
  - 1006
  - 1008
  scipy.signal._peak_finding.find_peaks_cwt:
  - 1295
  - 1297
  - 1298
  - 1299
  - 1204
  - 1301
  - 1304
  - 1305
  - 1306
  - 1309
  - 1310
  scipy.signal._peak_finding.peak_prominences:
  - 324
  - 461
  - 462
  - 463
  - 464
  scipy.signal._peak_finding.peak_widths:
  - 587
  - 588
  - 589
  - 591
  - 592
  - 593
  - 468
  scipy.signal._savitzky_golay._fit_edge:
  - 193
  - 196
  - 197
  - 200
  - 201
  - 173
  - 205
  - 207
  - 208
  - 209
  - 211
  - 182
  - 183
  - 187
  - 189
  scipy.signal._savitzky_golay._fit_edges_polyfit:
  - 216
  - 226
  - 223
  scipy.signal._savitzky_golay._polyder:
  - 160
  - 161
  - 163
  - 164
  - 165
  - 166
  - 148
  - 156
  - 159
  scipy.signal._savitzky_golay.savgol_coeffs:
  - 128
  - 100
  - 132
  - 103
  - 136
  - 105
  - 10
  - 106
  - 139
  - 142
  - 111
  - 115
  - 118
  - 119
  - 126
  scipy.signal._savitzky_golay.savgol_filter:
  - 352
  - 355
  - 232
  - 332
  - 336
  - 338
  - 339
  - 341
  - 343
  - 344
  - 351
  scipy.signal._short_time_fft:
  - 1
  scipy.signal._short_time_fft.ShortTimeFFT:
  - 1439
  - 1228
  - 1343
  - 79
  scipy.signal._short_time_fft.ShortTimeFFT.T:
  - 472
  - 488
  - 492
  scipy.signal._short_time_fft.ShortTimeFFT.__init__:
  - 257
  - 259
  - 263
  - 265
  - 266
  - 268
  - 272
  - 273
  - 255
  scipy.signal._short_time_fft.ShortTimeFFT._fft_func:
  - 1570
  - 1576
  - 1577
  - 1578
  - 1580
  - 1582
  - 1584
  - 1585
  - 1586
  - 1587
  - 1588
  - 1589
  - 1590
  - 1591
  - 1593
  - 1598
  scipy.signal._short_time_fft.ShortTimeFFT._ifft_func:
  - 1602
  - 1609
  - 1610
  - 1611
  - 1612
  - 1613
  - 1614
  - 1615
  - 1616
  - 1617
  - 1622
  - 1624
  - 1627
  - 1630
  scipy.signal._short_time_fft.ShortTimeFFT._post_padding:
  - 1235
  - 1237
  - 1230
  scipy.signal._short_time_fft.ShortTimeFFT._pre_padding:
  - 1172
  - 1164
  - 1174
  scipy.signal._short_time_fft.ShortTimeFFT._x_slices:
  - 737
  - 738
  - 739
  - 715
  - 720
  - 723
  - 724
  - 725
  - 726
  - 733
  - 735
  scipy.signal._short_time_fft.ShortTimeFFT.delta_f:
  - 1503
  scipy.signal._short_time_fft.ShortTimeFFT.delta_t:
  - 1375
  scipy.signal._short_time_fft.ShortTimeFFT.dual_win:
  - 952
  - 971
  - 972
  scipy.signal._short_time_fft.ShortTimeFFT.extent:
  - 1664
  - 1634
  - 1671
  - 1672
  - 1659
  - 1662
  scipy.signal._short_time_fft.ShortTimeFFT.f:
  - 1548
  - 1559
  - 1560
  - 1561
  - 1562
  - 1563
  - 1564
  - 1566
  scipy.signal._short_time_fft.ShortTimeFFT.f_pts:
  - 1521
  scipy.signal._short_time_fft.ShortTimeFFT.fac_magnitude:
  - 1099
  - 1101
  - 1085
  - 1102
  scipy.signal._short_time_fft.ShortTimeFFT.fac_psd:
  - 1121
  - 1123
  - 1124
  - 1125
  - 1107
  scipy.signal._short_time_fft.ShortTimeFFT.fft_mode:
  - 578
  - 525
  - 566
  - 571
  - 574
  scipy.signal._short_time_fft.ShortTimeFFT.from_dual:
  - 355
  - 354
  - 283
  scipy.signal._short_time_fft.ShortTimeFFT.from_window:
  - 431
  - 430
  - 367
  scipy.signal._short_time_fft.ShortTimeFFT.fs:
  - 498
  - 514
  - 519
  scipy.signal._short_time_fft.ShortTimeFFT.hop:
  - 454
  scipy.signal._short_time_fft.ShortTimeFFT.invertible:
  - 977
  - 990
  scipy.signal._short_time_fft.ShortTimeFFT.istft:
  - 1058
  - 997
  - 1064
  - 1065
  - 1067
  - 1037
  - 1069
  - 1039
  - 1070
  - 1072
  - 1074
  - 1043
  - 1046
  - 1079
  - 1080
  - 1049
  - 1055
  scipy.signal._short_time_fft.ShortTimeFFT.k_max:
  - 1244
  - 1260
  scipy.signal._short_time_fft.ShortTimeFFT.k_min:
  - 1201
  - 1182
  scipy.signal._short_time_fft.ShortTimeFFT.lower_border_end:
  - 1328
  - 1332
  - 1340
  - 1336
  - 1337
  - 1308
  scipy.signal._short_time_fft.ShortTimeFFT.m_num:
  - 1130
  - 1143
  scipy.signal._short_time_fft.ShortTimeFFT.m_num_mid:
  - 1147
  scipy.signal._short_time_fft.ShortTimeFFT.mfft:
  - 601
  - 585
  - 605
  scipy.signal._short_time_fft.ShortTimeFFT.nearest_k_p:
  - 1496
  - 1497
  - 1477
  scipy.signal._short_time_fft.ShortTimeFFT.onesided_fft:
  - 1534
  scipy.signal._short_time_fft.ShortTimeFFT.p_max:
  - 1283
  - 1263
  scipy.signal._short_time_fft.ShortTimeFFT.p_min:
  - 1226
  - 1205
  scipy.signal._short_time_fft.ShortTimeFFT.p_num:
  - 1304
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  scipy.signal._short_time_fft.ShortTimeFFT.stft:
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  scipy.signal._short_time_fft.ShortTimeFFT.stft_detrend:
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  - 849
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  scipy.signal._short_time_fft.ShortTimeFFT.t:
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  scipy.signal._short_time_fft.ShortTimeFFT.upper_border_begin:
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  scipy.signal._short_time_fft._calc_dual_canonical_window:
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  - 70
  - 71
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  - 547
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  - 549
  - 551
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  scipy.signal._signaltools._calc_oa_lens:
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  scipy.signal._signaltools._cmplx_sort:
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  scipy.signal._signaltools._compute_factors:
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  - 2678
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  - 2706
  - 2707
  - 2708
  - 2711
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  scipy.signal._signaltools._fftconv_faster:
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  scipy.signal._signaltools._filtfilt_gust:
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  - 3991
  - 3993
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  - 3947
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  - 3952
  - 3953
  - 3957
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  - 3963
  - 3964
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  scipy.signal._signaltools._freq_domain_conv:
  - 513
  - 514
  - 491
  - 461
  - 496
  - 499
  - 503
  - 508
  - 509
  - 511
  scipy.signal._signaltools._group_poles:
  - 2945
  - 2947
  - 2958
  - 2959
  - 2960
  - 2962
  - 2963
  - 2967
  - 2968
  - 2970
  - 2943
  scipy.signal._signaltools._init_freq_conv_axes:
  - 448
  - 453
  - 400
  - 435
  - 437
  - 444
  - 445
  - 447
  scipy.signal._signaltools._inputs_swap_needed:
  - 73
  - 76
  - 79
  - 80
  - 82
  - 83
  - 85
  - 59
  scipy.signal._signaltools._np_conv_ok:
  - 1120
  - 1118
  - 1117
  - 1110
  scipy.signal._signaltools._numeric_arrays:
  - 1008
  - 1010
  - 1011
  - 996
  scipy.signal._signaltools._reverse_and_conj:
  - 1105
  - 1106
  - 1102
  scipy.signal._signaltools._timeit_fast:
  - 1154
  - 1155
  - 1127
  - 1140
  - 1144
  - 1146
  - 1147
  - 1149
  scipy.signal._signaltools._validate_pad:
  - 4226
  - 4227
  - 4228
  - 4229
  - 4231
  - 4203
  - 4204
  - 4209
  - 4212
  - 4219
  - 4223
  scipy.signal._signaltools._validate_x:
  - 4238
  - 4239
  scipy.signal._signaltools.choose_conv_method:
  - 1284
  - 1285
  - 1286
  - 1287
  - 1162
  - 1290
  - 1293
  - 1294
  - 1269
  - 1270
  - 1272
  - 1274
  - 1275
  scipy.signal._signaltools.choose_conv_method.<lambda1>:
  - 1275
  scipy.signal._signaltools.cmplx_sort:
  - 2474
  - 2475
  scipy.signal._signaltools.convolve:
  - 1411
  - 1412
  - 1414
  - 1415
  - 1416
  - 1417
  - 1418
  - 1420
  - 1421
  - 1426
  - 1427
  - 1301
  - 1429
  - 1430
  - 1432
  - 1398
  - 1399
  - 1401
  - 1403
  - 1407
  scipy.signal._signaltools.convolve2d:
  - 1667
  - 1741
  - 1742
  - 1744
  - 1747
  - 1750
  - 1751
  - 1752
  scipy.signal._signaltools.correlate:
  - 257
  - 260
  - 261
  - 262
  - 264
  - 267
  - 270
  - 271
  - 272
  - 274
  - 275
  - 276
  - 277
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  - 281
  - 283
  - 93
  - 226
  - 227
  - 229
  - 230
  - 231
  - 242
  - 243
  - 245
  - 247
  - 248
  - 255
  scipy.signal._signaltools.correlate2d:
  - 1838
  - 1839
  - 1841
  - 1844
  - 1845
  - 1848
  - 1849
  - 1850
  - 1852
  - 1757
  scipy.signal._signaltools.correlation_lags:
  - 385
  - 355
  - 293
  - 358
  - 359
  - 363
  - 370
  - 374
  - 382
  - 383
  scipy.signal._signaltools.decimate:
  - 4609
  - 4610
  - 4611
  - 4614
  - 4615
  - 4616
  - 4618
  - 4620
  - 4621
  - 4623
  - 4625
  - 4627
  - 4554
  - 4555
  - 4557
  - 4558
  - 4561
  - 4566
  - 4567
  - 4570
  - 4571
  - 4572
  - 4573
  - 4575
  - 4577
  - 4578
  - 4579
  - 4580
  - 4581
  - 4583
  - 4586
  - 4587
  - 4588
  - 4591
  - 4595
  - 4596
  - 4470
  - 4600
  - 4602
  - 4604
  - 4605
  scipy.signal._signaltools.deconvolve:
  - 2279
  - 2280
  - 2281
  - 2283
  - 2285
  - 2286
  - 2287
  - 2291
  - 2293
  - 2294
  - 2239
  scipy.signal._signaltools.detrend:
  - 3584
  - 3586
  - 3588
  - 3589
  - 3590
  - 3591
  - 3595
  - 3597
  - 3598
  - 3599
  - 3600
  - 3604
  - 3605
  - 3522
  - 3562
  - 3564
  - 3566
  - 3568
  - 3569
  - 3574
  - 3575
  - 3581
  - 3582
  scipy.signal._signaltools.fftconvolve:
  - 673
  - 652
  - 653
  - 655
  - 559
  - 657
  - 659
  - 660
  - 662
  - 668
  - 669
  - 671
  scipy.signal._signaltools.filtfilt:
  - 4160
  - 4193
  - 4002
  - 4162
  - 4190
  - 4165
  - 4166
  - 4195
  - 4197
  - 4170
  - 4171
  - 4174
  - 4181
  - 4182
  - 4185
  - 4189
  - 4158
  - 4159
  scipy.signal._signaltools.hilbert:
  - 2400
  - 2402
  - 2403
  - 2404
  - 2383
  - 2384
  - 2386
  - 2388
  - 2391
  - 2392
  - 2393
  - 2299
  scipy.signal._signaltools.hilbert2:
  - 2433
  - 2435
  - 2462
  - 2437
  - 2438
  - 2409
  - 2441
  - 2445
  - 2446
  - 2447
  - 2448
  - 2450
  - 2430
  - 2431
  scipy.signal._signaltools.invres:
  - 2656
  - 2659
  - 2596
  - 2662
  - 2664
  - 2665
  - 2651
  - 2652
  - 2653
  - 2655
  scipy.signal._signaltools.invresz:
  - 3041
  - 3042
  - 3028
  - 3029
  - 3030
  - 3032
  - 3033
  - 3036
  - 2974
  - 3039
  scipy.signal._signaltools.lfilter:
  - 2090
  - 2091
  - 2095
  - 2096
  - 1967
  - 2097
  - 2099
  - 2101
  - 2104
  - 2105
  - 2107
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  - 2111
  - 2113
  - 2115
  - 2116
  - 2118
  - 2120
  - 2125
  - 2127
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  - 2133
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  - 2141
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  - 2144
  - 2145
  - 2147
  - 2150
  - 2151
  - 2154
  - 2155
  - 2157
  scipy.signal._signaltools.lfilter.<lambda1>:
  - 2138
  scipy.signal._signaltools.lfilter_zi:
  - 3712
  - 3717
  - 3720
  - 3721
  - 3722
  - 3723
  - 3725
  - 3728
  - 3700
  - 3701
  - 3703
  - 3704
  - 3610
  - 3707
  - 3709
  scipy.signal._signaltools.lfiltic:
  - 2200
  - 2201
  - 2202
  - 2203
  - 2205
  - 2206
  - 2207
  - 2209
  - 2211
  - 2213
  - 2214
  - 2216
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  - 2220
  - 2222
  - 2223
  - 2225
  - 2226
  - 2227
  - 2229
  - 2230
  - 2232
  - 2233
  - 2161
  scipy.signal._signaltools.medfilt:
  - 1568
  - 1570
  - 1573
  - 1512
  - 1577
  - 1580
  - 1582
  - 1584
  - 1553
  - 1554
  - 1585
  - 1556
  - 1557
  - 1558
  - 1560
  - 1561
  - 1563
  - 1564
  scipy.signal._signaltools.medfilt2d:
  - 1953
  - 1859
  - 1955
  - 1956
  - 1957
  - 1959
  - 1960
  - 1963
  - 1946
  - 1950
  - 1951
  scipy.signal._signaltools.oaconvolve:
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  - 899
  - 902
  - 903
  - 911
  - 912
  - 788
  - 917
  - 918
  - 919
  - 927
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  - 944
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  - 947
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  - 951
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  - 992
  - 867
  - 868
  - 870
  - 872
  - 874
  - 875
  - 876
  - 877
  - 879
  - 885
  - 887
  - 891
  scipy.signal._signaltools.order_filter:
  - 1504
  - 1506
  - 1492
  - 1493
  - 1494
  - 1498
  - 1499
  - 1502
  - 1439
  scipy.signal._signaltools.resample:
  - 3200
  - 3201
  - 3202
  - 3203
  - 3204
  - 3208
  - 3209
  - 3210
  - 3212
  - 3213
  - 3214
  - 3215
  - 3217
  - 3218
  - 3221
  - 3222
  - 3224
  - 3226
  - 3228
  - 3231
  - 3133
  - 3137
  - 3141
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  - 3170
  - 3172
  - 3048
  - 3179
  - 3180
  - 3184
  - 3187
  - 3189
  - 3190
  - 3191
  - 3192
  - 3194
  - 3195
  - 3196
  scipy.signal._signaltools.resample_poly:
  - 3359
  - 3360
  - 3362
  - 3364
  - 3237
  - 3365
  - 3366
  - 3368
  - 3374
  - 3377
  - 3378
  - 3381
  - 3383
  - 3384
  - 3385
  - 3391
  - 3394
  - 3403
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  - 3414
  - 3415
  - 3416
  - 3418
  - 3419
  - 3427
  - 3431
  - 3432
  - 3433
  - 3434
  - 3437
  scipy.signal._signaltools.residue:
  - 2816
  - 2818
  - 2819
  - 2821
  - 2823
  - 2824
  - 2827
  - 2830
  - 2723
  - 2798
  - 2799
  - 2800
  - 2801
  - 2802
  - 2803
  - 2805
  - 2806
  - 2808
  - 2809
  - 2811
  - 2814
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  scipy.signal._signaltools.residuez:
  - 2838
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  - 2894
  - 2895
  - 2896
  - 2897
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  - 2900
  - 2901
  - 2903
  - 2904
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  - 2920
  - 2922
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  - 2928
  - 2931
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  scipy.signal._signaltools.sosfilt:
  - 4245
  - 4314
  - 4315
  - 4316
  - 4318
  - 4320
  - 4321
  - 4322
  - 4323
  - 4325
  - 4326
  - 4327
  - 4334
  - 4337
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  - 4340
  - 4341
  - 4342
  - 4343
  - 4344
  - 4346
  - 4347
  - 4349
  scipy.signal._signaltools.sosfilt_zi:
  - 3809
  - 3746
  - 3812
  - 3816
  - 3799
  - 3800
  - 3803
  - 3804
  - 3807
  scipy.signal._signaltools.sosfiltfilt:
  - 4450
  - 4451
  - 4357
  - 4455
  - 4459
  - 4460
  - 4461
  - 4462
  - 4463
  - 4464
  - 4465
  - 4445
  - 4446
  scipy.signal._signaltools.unique_roots:
  - 2560
  - 2592
  - 2562
  - 2564
  - 2570
  - 2572
  - 2509
  - 2573
  - 2574
  - 2575
  - 2579
  - 2580
  - 2581
  - 2584
  - 2587
  - 2588
  scipy.signal._signaltools.vectorstrength:
  - 3490
  - 3491
  - 3492
  - 3494
  - 3500
  - 3501
  - 3502
  - 3506
  - 3444
  - 3510
  - 3511
  - 3512
  - 3515
  scipy.signal._signaltools.wiener:
  - 1640
  - 1641
  - 1643
  - 1644
  - 1645
  - 1656
  - 1648
  - 1651
  - 1652
  - 1655
  - 1592
  - 1661
  scipy.signal._spectral:
  - 4
  scipy.signal._spectral._lombscargle:
  - 68
  - 71
  - 72
  - 41
  - 10
  - 73
  - 45
  - 47
  - 48
  - 50
  - 58
  - 59
  - 61
  scipy.signal._spectral_py:
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  - 1998
  - 1969
  - 2002
  - 2008
  - 2013
  scipy.signal._spectral_py._median_bias:
  - 2102
  - 2101
  - 2078
  scipy.signal._spectral_py._spectral_helper:
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  - 1763
  - 1773
  - 1780
  - 1783
  - 1786
  - 1787
  - 1788
  - 1789
  - 1791
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  - 1800
  - 1804
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  - 1820
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  - 1825
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  - 1860
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  - 1866
  - 1870
  - 1871
  - 1872
  - 1873
  - 1874
  - 1877
  - 1880
  - 1883
  - 1893
  - 1894
  - 1896
  - 1897
  - 1898
  - 1899
  - 1903
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  - 1906
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  - 1913
  - 1914
  - 1916
  - 1922
  - 1923
  - 1924
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  - 1928
  - 1930
  - 1932
  - 1934
  - 1935
  - 1936
  - 1939
  - 1940
  - 1946
  - 1947
  - 1948
  - 1951
  - 1954
  - 1959
  - 1963
  scipy.signal._spectral_py._spectral_helper.detrend_func:
  - 1888
  - 1889
  - 1882
  - 1887
  scipy.signal._spectral_py._triage_segments:
  - 2019
  - 2052
  - 2054
  - 2056
  - 2057
  - 2061
  - 2063
  - 2064
  - 2066
  - 2068
  - 2070
  - 2071
  scipy.signal._spectral_py.check_COLA:
  - 928
  - 903
  - 905
  - 810
  - 908
  - 910
  - 912
  - 913
  - 915
  - 916
  - 918
  - 922
  - 924
  - 927
  scipy.signal._spectral_py.check_NOLA:
  - 932
  - 1029
  - 1031
  - 1034
  - 1036
  - 1038
  - 1040
  - 1041
  - 1043
  - 1044
  - 1046
  - 1050
  - 1052
  - 1055
  scipy.signal._spectral_py.coherence:
  - 1665
  - 1668
  - 1553
  - 1660
  - 1663
  scipy.signal._spectral_py.csd:
  - 609
  - 610
  - 611
  - 612
  - 614
  - 616
  - 617
  - 621
  - 600
  - 473
  - 605
  - 606
  - 607
  scipy.signal._spectral_py.istft:
  - 1537
  - 1541
  - 1542
  - 1543
  - 1545
  - 1547
  - 1431
  - 1432
  - 1433
  - 1435
  - 1438
  - 1443
  - 1450
  - 1453
  - 1454
  - 1457
  - 1458
  - 1463
  - 1466
  - 1468
  - 1471
  - 1472
  - 1477
  - 1479
  - 1481
  - 1483
  - 1484
  - 1485
  - 1486
  - 1489
  - 1490
  - 1492
  - 1493
  - 1495
  - 1499
  - 1503
  - 1504
  - 1506
  - 1507
  - 1252
  - 1509
  - 1510
  - 1511
  - 1512
  - 1518
  - 1524
  - 1529
  - 1530
  - 1535
  scipy.signal._spectral_py.lombscargle:
  - 137
  - 138
  - 139
  - 145
  - 146
  - 148
  - 21
  - 150
  - 151
  scipy.signal._spectral_py.periodogram:
  - 290
  - 291
  - 295
  - 269
  - 271
  - 272
  - 274
  - 277
  - 279
  - 281
  - 283
  - 284
  - 158
  - 286
  scipy.signal._spectral_py.spectrogram:
  - 800
  - 802
  - 771
  - 775
  - 779
  - 782
  - 783
  - 629
  - 789
  - 794
  - 795
  - 796
  - 797
  - 798
  scipy.signal._spectral_py.stft:
  - 1237
  - 1235
  - 1061
  - 1240
  scipy.signal._spectral_py.welch:
  - 462
  - 303
  scipy.signal._upfirdn._UpFIRDn:
  - 73
  scipy.signal._upfirdn._UpFIRDn.__init__:
  - 76
  - 77
  - 79
  - 80
  - 81
  - 82
  - 83
  - 86
  - 87
  - 88
  scipy.signal._upfirdn._UpFIRDn.apply_filter:
  - 96
  - 98
  - 100
  - 101
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  - 193
  - 194
  scipy.sparse._bsr._bsr_base.diagonal:
  - 225
  - 226
  - 228
  - 229
  - 230
  - 232
  scipy.sparse._bsr._bsr_base.eliminate_zeros:
  - 454
  - 456
  - 462
  - 464
  - 466
  - 469
  - 471
  scipy.sparse._bsr._bsr_base.prune:
  - 520
  - 531
  - 533
  - 526
  scipy.sparse._bsr._bsr_base.sort_indices:
  - 515
  - 507
  - 509
  scipy.sparse._bsr._bsr_base.sum_duplicates:
  - 480
  - 488
  - 503
  - 474
  - 478
  scipy.sparse._bsr._bsr_base.toarray:
  - 418
  scipy.sparse._bsr._bsr_base.tobsr:
  - 336
  - 344
  - 345
  - 346
  - 347
  scipy.sparse._bsr._bsr_base.tocoo:
  - 389
  - 390
  - 392
  - 393
  - 397
  - 398
  - 399
  - 400
  - 401
  - 403
  - 405
  - 406
  - 408
  - 410
  - 411
  - 380
  - 413
  scipy.sparse._bsr._bsr_base.tocsc:
  - 375
  scipy.sparse._bsr._bsr_base.tocsr:
  - 355
  - 356
  - 357
  - 358
  - 359
  - 361
  - 364
  - 365
  - 370
  scipy.sparse._bsr._bsr_base.transpose:
  - 423
  - 432
  - 433
  - 436
  - 437
  - 438
  - 440
  - 441
  - 442
  - 444
  scipy.sparse._bsr.bsr_array:
  - 637
  scipy.sparse._bsr.bsr_matrix:
  - 744
  scipy.sparse._bsr.isspmatrix_bsr:
  - 632
  - 610
  scipy.sparse._compressed:
  - 1
  scipy.sparse._compressed._cs_matrix:
  - 23
  scipy.sparse._compressed._cs_matrix.__eq__:
  - 224
  - 227
  - 228
  - 231
  - 233
  - 234
  - 236
  - 239
  - 240
  - 243
  - 245
  - 246
  - 247
  - 248
  - 219
  - 220
  - 221
  - 223
  scipy.sparse._compressed._cs_matrix.__ge__:
  - 341
  scipy.sparse._compressed._cs_matrix.__gt__:
  - 329
  scipy.sparse._compressed._cs_matrix.__init__:
  - 28
  - 30
  - 31
  - 32
  - 34
  - 35
  - 37
  - 38
  - 41
  - 45
  - 46
  - 47
  - 48
  - 51
  - 53
  - 54
  - 56
  - 57
  - 64
  - 65
  - 66
  - 70
  - 72
  - 73
  - 81
  - 85
  - 86
  - 90
  - 91
  - 93
  - 96
  - 97
  - 101
  - 104
  - 105
  - 107
  scipy.sparse._compressed._cs_matrix.__le__:
  - 335
  scipy.sparse._compressed._cs_matrix.__lt__:
  - 323
  scipy.sparse._compressed._cs_matrix.__ne__:
  - 256
  - 257
  - 259
  - 261
  - 262
  - 265
  - 266
  - 269
  - 271
  - 272
  - 274
  - 277
  - 279
  - 281
  - 282
  - 283
  - 255
  scipy.sparse._compressed._cs_matrix._add_dense:
  - 353
  - 354
  - 355
  - 356
  - 358
  - 359
  - 351
  scipy.sparse._compressed._cs_matrix._add_sparse:
  - 362
  scipy.sparse._compressed._cs_matrix._binopt:
  - 1248
  - 1251
  - 1254
  - 1255
  - 1258
  - 1259
  - 1261
  - 1263
  - 1264
  - 1265
  - 1267
  - 1268
  - 1272
  - 1273
  - 1244
  - 1245
  scipy.sparse._compressed._cs_matrix._divide_sparse:
  - 1281
  - 1284
  - 1286
  - 1291
  - 1292
  - 1293
  - 1295
  - 1297
  - 1278
  scipy.sparse._compressed._cs_matrix._get_arrayXarray:
  - 678
  - 679
  - 680
  - 681
  - 683
  - 684
  - 685
  - 686
  - 687
  - 688
  scipy.sparse._compressed._cs_matrix._get_columnXarray:
  - 692
  - 693
  scipy.sparse._compressed._cs_matrix._get_intXint:
  - 664
  - 667
  - 662
  - 663
  scipy.sparse._compressed._cs_matrix._get_sliceXslice:
  - 672
  - 673
  - 670
  - 671
  scipy.sparse._compressed._cs_matrix._get_submatrix:
  - 806
  - 810
  - 811
  - 812
  - 814
  - 815
  - 817
  - 820
  - 821
  scipy.sparse._compressed._cs_matrix._getnnz:
  - 110
  - 111
  - 113
  - 115
  - 116
  - 117
  - 118
  - 120
  - 121
  scipy.sparse._compressed._cs_matrix._inequality:
  - 289
  - 290
  - 292
  - 293
  - 294
  - 295
  - 296
  - 297
  - 299
  - 301
  - 302
  - 304
  - 306
  - 308
  - 309
  - 310
  - 311
  - 313
  - 316
  - 317
  scipy.sparse._compressed._cs_matrix._insert_many:
  - 1024
  - 1025
  - 1028
  - 1030
  - 1033
  - 1035
  - 966
  - 974
  - 975
  - 976
  - 977
  - 982
  - 984
  - 985
  - 986
  - 987
  - 992
  - 993
  - 994
  - 996
  - 1000
  - 1001
  - 1004
  - 1005
  - 1006
  - 1007
  - 1009
  - 1010
  - 1011
  - 1017
  - 1018
  - 1021
  - 1022
  - 1023
  scipy.sparse._compressed._cs_matrix._major_index_fancy:
  - 704
  - 705
  - 709
  - 710
  - 713
  - 714
  - 715
  - 718
  - 696
  - 699
  - 701
  - 702
  - 703
  scipy.sparse._compressed._cs_matrix._major_slice:
  - 722
  - 724
  - 725
  - 727
  - 728
  - 729
  - 730
  - 731
  - 732
  - 737
  - 744
  - 745
  - 747
  - 748
  - 749
  - 750
  - 753
  - 754
  - 755
  - 758
  scipy.sparse._compressed._cs_matrix._matmul_multivector:
  - 504
  - 505
  - 508
  - 509
  - 510
  scipy.sparse._compressed._cs_matrix._matmul_sparse:
  - 518
  - 519
  - 521
  - 524
  - 525
  - 526
  - 527
  - 528
  - 529
  - 531
  - 535
  - 536
  - 537
  - 539
  - 540
  - 541
  - 543
  - 544
  - 548
  scipy.sparse._compressed._cs_matrix._matmul_vector:
  - 496
  - 491
  - 495
  scipy.sparse._compressed._cs_matrix._maximum_minimum:
  - 576
  - 578
  - 579
  - 580
  - 583
  - 584
  - 585
  - 586
  - 568
  - 569
  - 570
  - 573
  - 574
  - 575
  scipy.sparse._compressed._cs_matrix._minor_index_fancy:
  - 768
  - 769
  - 770
  - 771
  - 774
  - 775
  - 776
  - 780
  - 782
  - 783
  - 784
  - 786
  - 762
  - 765
  - 767
  scipy.sparse._compressed._cs_matrix._minor_reduce:
  - 650
  - 652
  - 653
  - 654
  - 636
  scipy.sparse._compressed._cs_matrix._minor_slice:
  - 800
  - 801
  - 803
  - 790
  - 792
  - 793
  - 795
  - 796
  - 797
  - 798
  - 799
  scipy.sparse._compressed._cs_matrix._prepare_indices:
  - 900
  - 901
  - 902
  - 903
  - 888
  scipy.sparse._compressed._cs_matrix._prepare_indices.check_bounds:
  - 896
  - 891
  - 892
  - 895
  scipy.sparse._compressed._cs_matrix._scalar_binopt:
  - 209
  - 212
  - 213
  - 214
  scipy.sparse._compressed._cs_matrix._set_arrayXarray:
  - 829
  - 830
  scipy.sparse._compressed._cs_matrix._set_arrayXarray_sparse:
  - 834
  - 841
  - 842
  - 845
  - 846
  - 847
  - 848
  - 849
  - 850
  - 851
  - 852
  - 854
  - 855
  scipy.sparse._compressed._cs_matrix._set_intXint:
  - 825
  - 826
  scipy.sparse._compressed._cs_matrix._set_many:
  - 931
  - 907
  - 943
  - 912
  - 913
  - 916
  - 917
  - 919
  - 921
  - 922
  - 925
  scipy.sparse._compressed._cs_matrix._set_self:
  - 135
  - 129
  - 130
  - 127
  scipy.sparse._compressed._cs_matrix._setdiag:
  - 864
  - 865
  - 866
  - 868
  - 869
  - 870
  - 874
  - 875
  - 877
  - 878
  - 879
  - 882
  - 883
  - 858
  scipy.sparse._compressed._cs_matrix._sub_sparse:
  - 365
  scipy.sparse._compressed._cs_matrix._with_data:
  - 1230
  - 1234
  - 1235
  - 1236
  - 1240
  scipy.sparse._compressed._cs_matrix._zero_many:
  - 946
  - 950
  - 952
  - 953
  - 954
  - 956
  - 958
  - 959
  scipy.sparse._compressed._cs_matrix.check_format:
  - 138
  - 150
  - 151
  - 154
  - 155
  - 157
  - 158
  - 162
  - 163
  - 167
  - 170
  - 174
  - 176
  - 180
  - 182
  - 184
  - 185
  - 187
  - 189
  - 193
  - 194
  - 195
  - 196
  scipy.sparse._compressed._cs_matrix.diagonal:
  - 552
  - 553
  - 554
  - 555
  - 556
  - 557
  scipy.sparse._compressed._cs_matrix.eliminate_zeros:
  - 1082
  - 1083
  - 1085
  - 1078
  scipy.sparse._compressed._cs_matrix.has_canonical_format:
  - 1089
  - 1100
  - 1103
  - 1104
  - 1105
  - 1106
  - 1112
  - 1113
  scipy.sparse._compressed._cs_matrix.has_sorted_indices:
  - 1134
  - 1141
  - 1142
  - 1143
  - 1144
  - 1150
  scipy.sparse._compressed._cs_matrix.maximum:
  - 592
  - 591
  scipy.sparse._compressed._cs_matrix.maximum.<lambda1>:
  - 592
  scipy.sparse._compressed._cs_matrix.minimum:
  - 597
  - 598
  scipy.sparse._compressed._cs_matrix.minimum.<lambda1>:
  - 598
  scipy.sparse._compressed._cs_matrix.multiply:
  - 384
  - 385
  - 387
  - 388
  - 389
  - 390
  - 392
  - 393
  - 394
  - 397
  - 399
  - 400
  - 401
  - 404
  - 406
  - 407
  - 408
  - 411
  - 413
  - 414
  - 415
  - 418
  - 424
  - 426
  - 427
  - 429
  - 430
  - 433
  - 435
  - 436
  - 438
  - 440
  - 441
  - 443
  - 444
  - 445
  - 446
  - 447
  - 450
  - 451
  - 452
  - 453
  - 458
  - 459
  - 460
  - 461
  - 462
  - 465
  - 466
  - 467
  - 468
  - 473
  - 474
  - 476
  - 477
  - 480
  - 368
  - 372
  - 373
  - 375
  - 376
  - 377
  - 378
  - 379
  - 382
  - 383
  scipy.sparse._compressed._cs_matrix.prune:
  - 1185
  - 1186
  - 1174
  - 1176
  - 1178
  - 1180
  - 1182
  scipy.sparse._compressed._cs_matrix.resize:
  - 1216
  - 1218
  - 1189
  - 1190
  - 1192
  - 1193
  - 1194
  - 1199
  - 1200
  - 1202
  - 1206
  - 1207
  - 1208
  - 1210
  - 1212
  - 1215
  scipy.sparse._compressed._cs_matrix.sort_indices:
  - 1168
  - 1169
  - 1165
  scipy.sparse._compressed._cs_matrix.sorted_indices:
  - 1154
  - 1156
  - 1157
  scipy.sparse._compressed._cs_matrix.sum:
  - 612
  - 613
  - 615
  - 616
  - 618
  - 620
  - 621
  - 624
  - 627
  - 631
  - 607
  scipy.sparse._compressed._cs_matrix.sum_duplicates:
  - 1121
  - 1123
  - 1125
  - 1126
  - 1129
  - 1117
  scipy.sparse._compressed._cs_matrix.toarray:
  - 1056
  - 1057
  - 1058
  - 1061
  - 1062
  - 1065
  - 1067
  - 1068
  - 1055
  scipy.sparse._compressed._cs_matrix.tocoo:
  - 1042
  - 1044
  - 1045
  - 1046
  - 1048
  scipy.sparse._compressed._process_slice:
  - 1312
  - 1313
  - 1314
  - 1317
  - 1306
  - 1308
  - 1309
  - 1310
  scipy.sparse._construct:
  - 1
  scipy.sparse._construct._block:
  - 897
  - 903
  - 904
  - 906
  - 908
  - 909
  - 912
  - 913
  - 914
  - 916
  - 917
  - 919
  - 921
  - 922
  - 925
  - 926
  - 927
  - 930
  - 931
  - 932
  - 935
  - 936
  - 937
  - 938
  - 942
  - 944
  - 950
  - 952
  - 959
  - 960
  - 962
  - 964
  - 965
  - 969
  - 970
  - 971
  - 972
  - 975
  - 976
  - 978
  - 980
  - 981
  - 984
  - 985
  - 986
  - 895
  scipy.sparse._construct._compressed_sparse_stack:
  - 609
  - 616
  - 617
  - 618
  - 621
  - 590
  - 624
  - 625
  - 595
  - 628
  - 597
  - 598
  - 599
  - 600
  - 601
  - 604
  - 605
  scipy.sparse._construct._eye:
  - 384
  - 386
  - 388
  - 389
  - 390
  - 391
  - 392
  - 393
  - 363
  - 395
  - 396
  - 374
  - 376
  - 378
  - 380
  - 381
  - 382
  - 383
  scipy.sparse._construct._random:
  - 1216
  - 1215
  - 1186
  - 1217
  - 1218
  - 1189
  - 1219
  - 1191
  - 1222
  - 1193
  - 1194
  - 1201
  - 1209
  - 1210
  - 1211
  - 1214
  - 1183
  scipy.sparse._construct._random.data_sampler:
  - 1196
  - 1197
  - 1198
  - 1203
  - 1204
  scipy.sparse._construct._stack_along_minor_axis:
  - 641
  - 647
  - 654
  - 662
  - 663
  - 664
  - 665
  - 666
  - 667
  - 668
  - 670
  - 671
  - 672
  - 673
  - 677
  - 678
  - 679
  - 681
  - 682
  - 685
  - 633
  - 637
  - 638
  scipy.sparse._construct.block_array:
  - 849
  - 891
  scipy.sparse._construct.block_diag:
  - 1056
  - 1057
  - 1058
  - 1061
  - 1062
  - 1063
  - 1064
  - 1034
  - 1044
  - 1045
  - 1046
  - 1047
  - 1048
  - 1050
  - 1051
  - 1052
  - 990
  - 1055
  scipy.sparse._construct.bmat:
  - 841
  - 842
  - 843
  - 845
  - 785
  scipy.sparse._construct.diags:
  - 280
  - 201
  - 279
  scipy.sparse._construct.diags_array:
  - 147
  - 149
  - 150
  - 154
  - 156
  - 159
  - 163
  - 164
  - 168
  - 169
  - 174
  - 176
  - 177
  - 179
  - 181
  - 183
  - 184
  - 185
  - 190
  - 197
  - 82
  scipy.sparse._construct.eye:
  - 400
  - 437
  scipy.sparse._construct.eye_array:
  - 326
  - 359
  scipy.sparse._construct.hstack:
  - 690
  - 729
  - 730
  - 731
  - 733
  scipy.sparse._construct.identity:
  - 322
  - 284
  scipy.sparse._construct.kron:
  - 512
  - 515
  - 516
  - 517
  - 519
  - 520
  - 521
  - 527
  - 530
  - 533
  - 534
  - 536
  - 441
  - 479
  - 489
  - 492
  - 493
  - 496
  - 498
  - 500
  - 501
  - 504
  - 507
  - 510
  scipy.sparse._construct.kronsum:
  - 576
  - 579
  - 581
  - 582
  - 583
  - 584
  - 586
  - 562
  - 570
  - 571
  - 540
  - 573
  scipy.sparse._construct.rand:
  - 1345
  - 1401
  scipy.sparse._construct.random:
  - 1228
  - 1331
  - 1333
  - 1335
  - 1340
  - 1341
  scipy.sparse._construct.random.data_rvs_kw:
  - 1337
  scipy.sparse._construct.random_array:
  - 1071
  - 1175
  - 1176
  - 1177
  - 1178
  scipy.sparse._construct.spdiags:
  - 74
  - 75
  - 76
  - 78
  - 28
  scipy.sparse._construct.vstack:
  - 737
  - 777
  - 778
  - 779
  - 781
  scipy.sparse._coo:
  - 1
  scipy.sparse._coo._coo_base.__init__:
  - 27
  - 28
  - 30
  - 31
  - 32
  - 33
  - 34
  - 35
  - 36
  - 37
  - 45
  - 46
  - 49
  - 51
  - 53
  - 54
  - 56
  - 58
  - 61
  - 62
  - 63
  - 64
  - 65
  - 68
  - 69
  - 71
  - 75
  - 76
  - 77
  - 78
  - 81
  - 82
  - 83
  - 86
  - 87
  - 88
  - 93
  - 94
  - 96
  scipy.sparse._coo._coo_base._add_dense:
  - 524
  - 526
  - 527
  - 528
  - 530
  - 531
  - 532
  scipy.sparse._coo._coo_base._check:
  - 194
  - 195
  - 197
  - 199
  - 200
  - 201
  - 204
  - 183
  - 184
  - 189
  - 190
  - 191
  scipy.sparse._coo._coo_base._getnnz:
  - 160
  - 161
  - 165
  - 168
  - 170
  - 172
  - 174
  - 177
  - 159
  scipy.sparse._coo._coo_base._matmul_multivector:
  - 556
  - 557
  - 561
  - 564
  - 569
  - 570
  - 571
  - 572
  scipy.sparse._coo._coo_base._matmul_vector:
  - 544
  - 549
  - 551
  - 536
  - 537
  - 539
  - 542
  scipy.sparse._coo._coo_base._setdiag:
  - 432
  - 435
  - 441
  - 442
  - 443
  - 444
  - 445
  - 446
  - 447
  - 449
  - 450
  - 451
  - 452
  - 453
  - 454
  - 457
  - 460
  - 464
  - 465
  - 466
  scipy.sparse._coo._coo_base._sum_duplicates:
  - 493
  - 498
  - 499
  - 501
  - 504
  - 505
  - 506
  - 507
  scipy.sparse._coo._coo_base._with_data:
  - 474
  - 475
  - 478
  - 471
  scipy.sparse._coo._coo_base.col:
  - 120
  scipy.sparse._coo._coo_base.diagonal:
  - 419
  - 423
  - 424
  - 425
  - 410
  - 413
  - 414
  - 415
  scipy.sparse._coo._coo_base.eliminate_zeros:
  - 517
  - 511
  scipy.sparse._coo._coo_base.reshape:
  - 129
  - 130
  - 131
  - 138
  - 139
  - 140
  - 141
  - 143
  - 145
  - 149
  - 150
  - 154
  - 124
  - 125
  - 126
  scipy.sparse._coo._coo_base.resize:
  - 257
  - 258
  - 228
  - 229
  - 232
  - 233
  - 234
  - 235
  - 241
  - 243
  - 245
  - 247
  - 248
  - 249
  - 252
  - 253
  - 254
  - 255
  scipy.sparse._coo._coo_base.row:
  - 100
  - 102
  - 103
  - 109
  - 111
  scipy.sparse._coo._coo_base.sum_duplicates:
  - 481
  - 485
  - 487
  scipy.sparse._coo._coo_base.toarray:
  - 266
  - 267
  - 268
  - 270
  - 275
  - 276
  - 278
  scipy.sparse._coo._coo_base.tocoo:
  - 368
  - 367
  scipy.sparse._coo._coo_base.tocsc:
  - 320
  - 321
  - 302
  - 304
  - 305
  - 308
  - 309
  - 310
  - 312
  - 313
  - 314
  - 283
  - 316
  - 319
  scipy.sparse._coo._coo_base.tocsr:
  - 352
  - 354
  - 355
  - 356
  - 325
  - 358
  - 361
  - 362
  - 363
  - 344
  - 346
  - 347
  - 350
  - 351
  scipy.sparse._coo._coo_base.todia:
  - 384
  - 388
  - 389
  - 391
  - 394
  - 375
  - 377
  - 379
  - 381
  - 383
  scipy.sparse._coo._coo_base.todok:
  - 401
  - 402
  - 403
  - 399
  scipy.sparse._coo._coo_base.transpose:
  - 208
  - 209
  - 210
  - 211
  - 213
  - 215
  - 220
  - 221
  - 222
  scipy.sparse._coo._ravel_coords:
  - 576
  - 577
  - 580
  - 583
  - 584
  - 585
  - 586
  - 587
  - 588
  - 589
  - 590
  - 593
  scipy.sparse._coo.coo_array:
  - 624
  scipy.sparse._coo.coo_matrix:
  - 735
  scipy.sparse._coo.coo_matrix.__setstate__:
  - 848
  - 851
  - 852
  scipy.sparse._coo.isspmatrix_coo:
  - 619
  - 597
  scipy.sparse._csc:
  - 1
  scipy.sparse._csc._csc_base.__iter__:
  - 34
  scipy.sparse._csc._csc_base._get_arrayXint:
  - 135
  scipy.sparse._csc._csc_base._get_arrayXslice:
  - 138
  scipy.sparse._csc._csc_base._get_intXarray:
  - 119
  scipy.sparse._csc._csc_base._get_intXslice:
  - 122
  - 123
  - 124
  scipy.sparse._csc._csc_base._get_sliceXarray:
  - 132
  scipy.sparse._csc._csc_base._get_sliceXint:
  - 128
  - 129
  - 127
  scipy.sparse._csc._csc_base._getcol:
  - 107
  - 111
  - 112
  - 114
  - 116
  scipy.sparse._csc._csc_base._getrow:
  - 99
  - 100
  - 102
  - 104
  - 95
  scipy.sparse._csc._csc_base._swap:
  - 143
  scipy.sparse._csc._csc_base.nonzero:
  - 74
  - 76
  - 77
  - 78
  - 86
  scipy.sparse._csc._csc_base.tocsc:
  - 37
  - 38
  scipy.sparse._csc._csc_base.tocsr:
  - 46
  - 47
  - 48
  - 49
  - 50
  - 52
  - 53
  - 54
  - 60
  scipy.sparse._csc._csc_base.transpose:
  - 28
  - 21
  scipy.sparse._csc.csc_array:
  - 176
  scipy.sparse._csc.csc_matrix:
  - 271
  scipy.sparse._csc.isspmatrix_csc:
  - 171
  - 149
  scipy.sparse._csr:
  - 1
  scipy.sparse._csr._csr_base.__iter__:
  - 130
  - 123
  - 126
  scipy.sparse._csr._csr_base._get_arrayXint:
  - 210
  scipy.sparse._csr._csr_base._get_arrayXslice:
  - 216
  - 213
  - 214
  - 215
  scipy.sparse._csr._csr_base._get_intXarray:
  - 166
  scipy.sparse._csr._csr_base._get_intXslice:
  - 193
  - 195
  - 197
  - 198
  - 169
  - 170
  - 175
  - 181
  - 186
  - 191
  scipy.sparse._csr._csr_base._get_sliceXarray:
  - 207
  scipy.sparse._csr._csr_base._get_sliceXint:
  - 202
  - 203
  - 204
  scipy.sparse._csr._csr_base._getcol:
  - 160
  - 162
  - 151
  - 155
  - 156
  - 158
  scipy.sparse._csr._csr_base._getrow:
  - 136
  - 140
  - 141
  - 143
  - 145
  - 147
  scipy.sparse._csr._csr_base._swap:
  - 118
  scipy.sparse._csr._csr_base.tobsr:
  - 97
  - 98
  - 99
  - 100
  - 101
  - 103
  - 104
  - 105
  - 107
  - 109
  - 80
  - 82
  - 84
  - 85
  - 86
  - 92
  - 95
  scipy.sparse._csr._csr_base.tocsc:
  - 65
  - 66
  - 67
  - 73
  - 59
  - 60
  - 61
  - 62
  - 63
  scipy.sparse._csr._csr_base.tocsr:
  - 51
  - 52
  scipy.sparse._csr._csr_base.tolil:
  - 34
  - 36
  - 40
  - 43
  - 44
  scipy.sparse._csr._csr_base.transpose:
  - 28
  - 22
  scipy.sparse._csr.csr_array:
  - 247
  scipy.sparse._csr.csr_matrix:
  - 370
  scipy.sparse._csr.isspmatrix_csr:
  - 242
  - 220
  scipy.sparse._data:
  - 144
  - 1
  - 158
  scipy.sparse._data._create_method.method:
  - 149
  - 150
  scipy.sparse._data._data_matrix.__abs__:
  - 37
  scipy.sparse._data._data_matrix.__imul__:
  - 55
  scipy.sparse._data._data_matrix.__init__:
  - 21
  scipy.sparse._data._data_matrix.__itruediv__:
  - 62
  scipy.sparse._data._data_matrix.__neg__:
  - 49
  - 52
  scipy.sparse._data._data_matrix.__round__:
  - 40
  scipy.sparse._data._data_matrix._deduped_data:
  - 32
  - 33
  scipy.sparse._data._data_matrix._imag:
  - 46
  scipy.sparse._data._data_matrix._mul_scalar:
  - 140
  scipy.sparse._data._data_matrix._real:
  - 43
  scipy.sparse._data._data_matrix.astype:
  - 70
  - 71
  - 72
  - 73
  - 76
  - 77
  - 78
  scipy.sparse._data._data_matrix.conjugate:
  - 88
  - 85
  - 86
  - 87
  scipy.sparse._data._data_matrix.copy:
  - 95
  scipy.sparse._data._data_matrix.count_nonzero:
  - 100
  scipy.sparse._data._data_matrix.power:
  - 130
  - 131
  - 132
  - 133
  - 105
  - 122
  - 124
  scipy.sparse._data._find_missing_index:
  - 162
  - 163
  - 167
  scipy.sparse._data._minmax_mixin:
  - 174
  scipy.sparse._data._minmax_mixin._arg_min_or_max:
  - 275
  - 278
  - 280
  - 281
  - 285
  - 286
  - 288
  - 291
  - 294
  - 295
  - 297
  - 298
  - 304
  - 306
  - 309
  - 310
  - 311
  - 317
  - 318
  - 319
  scipy.sparse._data._minmax_mixin._arg_min_or_max_axis:
  - 258
  - 260
  - 263
  - 264
  - 265
  - 269
  - 270
  - 239
  - 272
  - 242
  - 245
  - 247
  - 248
  - 250
  - 251
  - 253
  - 254
  scipy.sparse._data._minmax_mixin._min_or_max:
  - 225
  - 226
  - 227
  - 230
  - 233
  - 234
  - 209
  - 212
  - 213
  - 214
  - 218
  - 219
  - 222
  - 223
  scipy.sparse._data._minmax_mixin._min_or_max_axis:
  - 194
  - 195
  - 197
  - 198
  - 199
  - 203
  - 204
  - 181
  - 184
  - 186
  - 187
  - 189
  - 190
  - 191
  scipy.sparse._data._minmax_mixin.argmax:
  - 483
  - 463
  scipy.sparse._data._minmax_mixin.argmin:
  - 506
  - 486
  scipy.sparse._data._minmax_mixin.max:
  - 352
  - 323
  scipy.sparse._data._minmax_mixin.min:
  - 384
  - 355
  scipy.sparse._data._minmax_mixin.nanmax:
  - 387
  - 422
  scipy.sparse._data._minmax_mixin.nanmin:
  - 425
  - 460
  scipy.sparse._dia:
  - 1
  scipy.sparse._dia._dia_base.__init__:
  - 22
  - 24
  - 25
  - 26
  - 27
  - 30
  - 32
  - 33
  - 35
  - 38
  - 39
  - 40
  - 43
  - 44
  - 45
  - 46
  - 55
  - 57
  - 58
  - 59
  - 61
  - 62
  - 66
  - 70
  - 73
  - 75
  - 76
  - 79
  - 82
  - 85
  - 90
  scipy.sparse._dia._dia_base.__repr__:
  - 96
  - 95
  scipy.sparse._dia._dia_base._add_sparse:
  - 192
  - 195
  - 197
  - 177
  - 181
  - 186
  - 187
  - 190
  scipy.sparse._dia._dia_base._data_mask:
  - 104
  - 107
  scipy.sparse._dia._dia_base._getnnz:
  - 128
  - 129
  - 119
  - 124
  - 125
  - 126
  scipy.sparse._dia._dia_base._matmul_vector:
  - 210
  - 203
  - 211
  scipy.sparse._dia._dia_base._setdiag:
  - 224
  - 225
  - 229
  - 233
  - 238
  - 239
  - 240
  - 245
  - 246
  - 247
  - 218
  - 222
  scipy.sparse._dia._dia_base._with_data:
  - 356
  - 359
  - 360
  - 361
  - 364
  scipy.sparse._dia._dia_base.count_nonzero:
  - 115
  - 116
  scipy.sparse._dia._dia_base.diagonal:
  - 288
  - 289
  - 290
  - 292
  - 293
  - 295
  - 296
  - 297
  - 286
  - 287
  scipy.sparse._dia._dia_base.resize:
  - 369
  - 378
  - 374
  - 375
  scipy.sparse._dia._dia_base.sum:
  - 160
  - 162
  - 163
  - 165
  - 135
  - 167
  - 137
  - 170
  - 140
  - 144
  - 145
  - 146
  - 147
  - 150
  - 152
  - 155
  - 156
  - 157
  scipy.sparse._dia._dia_base.tocoo:
  - 331
  - 339
  - 340
  - 341
  - 343
  - 344
  - 348
  scipy.sparse._dia._dia_base.tocsc:
  - 321
  - 323
  - 303
  - 304
  - 308
  - 316
  - 317
  - 318
  - 319
  scipy.sparse._dia._dia_base.todia:
  - 253
  - 254
  scipy.sparse._dia._dia_base.transpose:
  - 261
  - 267
  - 273
  - 274
  - 275
  - 276
  - 279
  scipy.sparse._dia.dia_array:
  - 414
  scipy.sparse._dia.dia_matrix:
  - 489
  scipy.sparse._dia.isspmatrix_dia:
  - 409
  - 387
  scipy.sparse._dok:
  - 1
  scipy.sparse._dok._dok_base.__add__:
  - 224
  - 225
  - 226
  - 227
  - 229
  - 231
  - 232
  - 207
  - 208
  - 209
  - 212
  - 213
  - 214
  - 217
  - 218
  - 219
  - 223
  scipy.sparse._dok._dok_base.__imul__:
  - 293
  - 294
  scipy.sparse._dok._dok_base.__init__:
  - 32
  - 34
  - 35
  - 37
  - 38
  - 42
  - 46
  - 49
  - 50
  - 51
  - 21
  - 24
  - 25
  - 27
  - 28
  - 29
  - 30
  scipy.sparse._dok._dok_base.__itruediv__:
  - 307
  - 308
  scipy.sparse._dok._dok_base.__len__:
  - 78
  scipy.sparse._dok._dok_base.__neg__:
  - 265
  - 266
  - 262
  scipy.sparse._dok._dok_base.__radd__:
  - 256
  - 238
  - 239
  - 241
  - 242
  - 243
  - 245
  - 246
  - 247
  - 249
  - 250
  - 251
  - 253
  - 255
  scipy.sparse._dok._dok_base.__reduce__:
  - 316
  scipy.sparse._dok._dok_base.__truediv__:
  - 299
  - 300
  - 301
  - 302
  - 304
  scipy.sparse._dok._dok_base._get_arrayXarray:
  - 178
  - 179
  - 181
  - 182
  - 183
  scipy.sparse._dok._dok_base._get_arrayXint:
  - 154
  - 155
  scipy.sparse._dok._dok_base._get_arrayXslice:
  - 162
  - 163
  scipy.sparse._dok._dok_base._get_columnXarray:
  - 167
  - 169
  - 170
  - 171
  - 172
  scipy.sparse._dok._dok_base._get_intXarray:
  - 150
  - 151
  scipy.sparse._dok._dok_base._get_intXint:
  - 118
  scipy.sparse._dok._dok_base._get_intXslice:
  - 121
  scipy.sparse._dok._dok_base._get_sliceXarray:
  - 158
  - 159
  scipy.sparse._dok._dok_base._get_sliceXint:
  - 124
  scipy.sparse._dok._dok_base._get_sliceXslice:
  - 128
  - 129
  - 130
  - 131
  - 134
  - 136
  - 138
  - 139
  - 140
  - 141
  - 143
  - 144
  - 127
  scipy.sparse._dok._dok_base._getnnz:
  - 66
  - 69
  scipy.sparse._dok._dok_base._matmul_multivector:
  - 288
  - 286
  - 287
  scipy.sparse._dok._dok_base._matmul_vector:
  - 278
  - 279
  scipy.sparse._dok._dok_base._mul_scalar:
  - 272
  - 273
  - 270
  scipy.sparse._dok._dok_base._set_arrayXarray:
  - 195
  - 196
  - 197
  - 198
  - 200
  - 202
  scipy.sparse._dok._dok_base._set_intXint:
  - 189
  - 191
  scipy.sparse._dok._dok_base._update:
  - 60
  - 63
  scipy.sparse._dok._dok_base.clear:
  - 90
  scipy.sparse._dok._dok_base.conjtransp:
  - 336
  - 337
  - 333
  - 335
  scipy.sparse._dok._dok_base.copy:
  - 341
  - 342
  scipy.sparse._dok._dok_base.count_nonzero:
  - 72
  scipy.sparse._dok._dok_base.get:
  - 105
  - 115
  - 110
  - 113
  scipy.sparse._dok._dok_base.items:
  - 96
  scipy.sparse._dok._dok_base.keys:
  - 99
  scipy.sparse._dok._dok_base.popitem:
  - 93
  scipy.sparse._dok._dok_base.resize:
  - 376
  - 379
  - 381
  - 382
  scipy.sparse._dok._dok_base.setdefault:
  - 84
  scipy.sparse._dok._dok_base.tocoo:
  - 352
  - 353
  - 354
  - 355
  - 348
  - 349
  - 351
  scipy.sparse._dok._dok_base.tocsc:
  - 371
  scipy.sparse._dok._dok_base.todok:
  - 364
  - 365
  scipy.sparse._dok._dok_base.transpose:
  - 327
  - 325
  - 326
  - 319
  scipy.sparse._dok._dok_base.values:
  - 102
  scipy.sparse._dok.dok_array:
  - 417
  scipy.sparse._dok.dok_matrix:
  - 528
  - 470
  scipy.sparse._dok.dok_matrix.get_shape:
  - 525
  scipy.sparse._dok.dok_matrix.set_shape:
  - 521
  scipy.sparse._dok.isspmatrix_dok:
  - 412
  - 390
  scipy.sparse._extract:
  - 1
  scipy.sparse._extract.find:
  - 40
  - 14
  - 39
  scipy.sparse._extract.tril:
  - 100
  - 103
  - 109
  - 110
  - 47
  scipy.sparse._extract.triu:
  - 168
  - 171
  - 177
  - 114
  - 178
  scipy.sparse._index:
  - 1
  scipy.sparse._index.IndexMixin:
  - 25
  scipy.sparse._index.IndexMixin.__getitem__:
  - 45
  - 48
  - 49
  - 50
  - 51
  - 52
  - 53
  - 54
  - 55
  - 56
  - 57
  - 58
  - 60
  - 61
  - 62
  - 63
  - 64
  - 65
  - 66
  - 67
  - 68
  - 69
  - 71
  - 72
  - 73
  - 74
  - 75
  - 76
  - 78
  - 79
  - 80
  - 82
  - 84
  - 87
  - 88
  - 90
  - 91
  - 92
  scipy.sparse._index.IndexMixin.__setitem__:
  - 128
  - 131
  - 133
  - 134
  - 135
  - 138
  - 139
  - 140
  - 141
  - 143
  - 144
  - 95
  - 97
  - 98
  - 99
  - 101
  - 104
  - 105
  - 107
  - 109
  - 110
  - 111
  - 114
  - 116
  - 117
  - 121
  - 122
  scipy.sparse._index.IndexMixin._asindices:
  - 192
  - 193
  - 195
  - 196
  - 171
  - 176
  - 180
  - 183
  - 187
  - 188
  - 191
  scipy.sparse._index.IndexMixin._getcol:
  - 212
  - 215
  - 216
  - 218
  - 220
  scipy.sparse._index.IndexMixin._getrow:
  - 201
  - 204
  - 205
  - 207
  - 209
  scipy.sparse._index.IndexMixin._raise_on_1d_array_slice:
  - 29
  - 38
  scipy.sparse._index.IndexMixin._set_arrayXarray_sparse:
  - 260
  - 261
  - 262
  scipy.sparse._index.IndexMixin._validate_indices:
  - 160
  - 161
  - 163
  - 165
  - 166
  - 148
  - 150
  - 151
  - 152
  - 154
  - 156
  - 157
  - 159
  scipy.sparse._index._boolean_index_to_array:
  - 369
  - 367
  scipy.sparse._index._broadcast_arrays:
  - 10
  - 18
  scipy.sparse._index._check_ellipsis:
  - 320
  - 321
  - 323
  - 328
  - 329
  - 312
  - 313
  - 314
  - 316
  scipy.sparse._index._compatible_boolean_index:
  - 361
  - 362
  - 357
  scipy.sparse._index._first_element_bool:
  - 353
  - 342
  - 345
  - 348
  - 351
  scipy.sparse._index._maybe_bool_ndarray:
  - 336
  - 333
  - 335
  scipy.sparse._index._unpack_index:
  - 266
  - 271
  - 273
  - 276
  - 279
  - 280
  - 282
  - 283
  - 287
  - 288
  - 289
  - 290
  - 291
  - 292
  - 293
  - 295
  - 302
  - 303
  - 304
  - 305
  - 306
  - 307
  scipy.sparse._lil:
  - 1
  scipy.sparse._lil._lil_base.__getitem__:
  - 144
  - 145
  - 146
  - 148
  - 150
  scipy.sparse._lil._lil_base.__imul__:
  - 77
  scipy.sparse._lil._lil_base.__init__:
  - 24
  - 25
  - 28
  - 29
  - 30
  - 32
  - 34
  - 35
  - 37
  - 41
  - 42
  - 43
  - 46
  - 47
  - 48
  - 49
  - 57
  - 61
  - 63
  scipy.sparse._lil._lil_base.__itruediv__:
  - 84
  scipy.sparse._lil._lil_base.__setitem__:
  - 257
  - 258
  - 259
  - 261
  - 263
  - 264
  - 265
  - 266
  - 271
  - 254
  scipy.sparse._lil._lil_base.__str__:
  - 116
  - 117
  - 118
  scipy.sparse._lil._lil_base.__truediv__:
  - 288
  - 289
  - 290
  - 292
  - 296
  scipy.sparse._lil._lil_base._asindices:
  - 155
  - 158
  scipy.sparse._lil._lil_base._get_arrayXarray:
  - 200
  - 201
  - 202
  scipy.sparse._lil._lil_base._get_arrayXint:
  - 172
  - 173
  scipy.sparse._lil._lil_base._get_arrayXslice:
  - 183
  scipy.sparse._lil._lil_base._get_columnXarray:
  - 195
  - 196
  scipy.sparse._lil._lil_base._get_intXarray:
  - 186
  - 187
  scipy.sparse._lil._lil_base._get_intXint:
  - 163
  - 165
  scipy.sparse._lil._lil_base._get_intXslice:
  - 176
  scipy.sparse._lil._lil_base._get_row_ranges:
  - 224
  - 225
  - 226
  - 227
  - 229
  - 209
  scipy.sparse._lil._lil_base._get_sliceXarray:
  - 190
  - 191
  scipy.sparse._lil._lil_base._get_sliceXint:
  - 168
  - 169
  scipy.sparse._lil._lil_base._get_sliceXslice:
  - 179
  - 180
  scipy.sparse._lil._lil_base._getnnz:
  - 96
  - 98
  - 99
  - 100
  - 103
  - 104
  - 94
  - 95
  scipy.sparse._lil._lil_base._mul_scalar:
  - 274
  - 276
  - 278
  - 280
  - 281
  - 283
  scipy.sparse._lil._lil_base._set_arrayXarray:
  - 242
  - 243
  scipy.sparse._lil._lil_base._set_arrayXarray_sparse:
  - 249
  - 250
  - 251
  scipy.sparse._lil._lil_base._set_intXint:
  - 238
  scipy.sparse._lil._lil_base.copy:
  - 300
  - 302
  - 303
  scipy.sparse._lil._lil_base.count_nonzero:
  - 109
  scipy.sparse._lil._lil_base.getrow:
  - 137
  - 130
  - 133
  - 135
  scipy.sparse._lil._lil_base.getrowview:
  - 122
  - 124
  scipy.sparse._lil._lil_base.reshape:
  - 320
  - 322
  - 324
  - 325
  - 326
  - 328
  - 330
  - 331
  - 332
  - 310
  - 311
  - 314
  - 315
  - 316
  scipy.sparse._lil._lil_base.resize:
  - 352
  - 356
  - 357
  - 358
  - 342
  - 346
  - 349
  - 350
  - 351
  scipy.sparse._lil._lil_base.toarray:
  - 368
  - 369
  - 367
  scipy.sparse._lil._lil_base.tocsr:
  - 418
  - 390
  - 391
  - 394
  - 397
  - 399
  - 400
  - 403
  - 404
  - 405
  - 406
  - 407
  - 408
  - 410
  - 412
  - 413
  - 414
  - 415
  scipy.sparse._lil._lil_base.tolil:
  - 381
  - 382
  scipy.sparse._lil._lil_base.transpose:
  - 376
  scipy.sparse._lil._prepare_index_for_memoryview:
  - 448
  - 449
  - 451
  - 452
  - 453
  - 454
  - 424
  - 456
  - 457
  - 458
  - 446
  - 447
  scipy.sparse._lil.isspmatrix_lil:
  - 465
  - 487
  scipy.sparse._lil.lil_array:
  - 492
  scipy.sparse._lil.lil_matrix:
  - 557
  scipy.sparse._matrix.spmatrix:
  - 2
  - 68
  scipy.sparse._matrix.spmatrix.__mul__:
  - 44
  scipy.sparse._matrix.spmatrix.__pow__:
  - 53
  scipy.sparse._matrix.spmatrix.__rmul__:
  - 47
  scipy.sparse._matrix.spmatrix.asfptype:
  - 72
  - 73
  scipy.sparse._matrix.spmatrix.getH:
  - 101
  - 95
  scipy.sparse._matrix.spmatrix.get_shape:
  - 65
  scipy.sparse._matrix.spmatrix.getcol:
  - 104
  - 107
  scipy.sparse._matrix.spmatrix.getformat:
  - 80
  scipy.sparse._matrix.spmatrix.getmaxprint:
  - 76
  - 77
  scipy.sparse._matrix.spmatrix.getnnz:
  - 84
  - 92
  scipy.sparse._matrix.spmatrix.getrow:
  - 113
  - 110
  scipy.sparse._matrix.spmatrix.set_shape:
  - 58
  - 61
  scipy.sparse._matrix_io:
  - 8
  scipy.sparse._matrix_io.load_npz:
  - 160
  - 162
  - 163
  - 134
  - 135
  - 136
  - 139
  - 141
  - 144
  - 81
  - 146
  - 152
  - 156
  - 157
  - 159
  scipy.sparse._matrix_io.save_npz:
  - 67
  - 68
  - 72
  - 73
  - 74
  - 75
  - 12
  - 77
  - 58
  - 59
  - 60
  - 61
  - 62
  - 63
  scipy.sparse._spfuncs:
  - 1
  scipy.sparse._spfuncs.count_blocks:
  - 67
  - 70
  - 71
  - 73
  - 74
  - 75
  - 76
  - 63
  scipy.sparse._spfuncs.estimate_blocksize:
  - 35
  - 36
  - 40
  - 41
  - 42
  - 12
  - 47
  - 48
  - 17
  - 18
  - 20
  - 52
  - 54
  - 23
  - 56
  - 27
  - 30
  - 31
  scipy.sparse._sputils:
  - 1
  scipy.sparse._sputils._todata:
  - 448
  - 451
  - 427
  - 440
  - 441
  - 443
  - 444
  - 446
  - 447
  scipy.sparse._sputils.asmatrix:
  - 419
  - 421
  scipy.sparse._sputils.check_reshape_kwargs:
  - 368
  - 377
  - 378
  - 376
  scipy.sparse._sputils.check_shape:
  - 297
  - 316
  - 319
  - 321
  - 323
  - 325
  - 327
  - 329
  - 330
  - 331
  - 334
  - 336
  - 340
  - 343
  - 344
  - 345
  - 346
  - 349
  - 351
  - 352
  - 353
  - 354
  - 361
  scipy.sparse._sputils.convert_pydata_sparse_to_scipy:
  - 395
  - 399
  - 400
  - 401
  - 402
  - 403
  - 404
  scipy.sparse._sputils.downcast_intp_index:
  - 76
  - 82
  - 83
  - 84
  - 85
  - 86
  - 87
  - 91
  scipy.sparse._sputils.get_index_dtype:
  - 192
  - 193
  - 194
  - 171
  - 172
  - 175
  - 176
  - 177
  - 178
  - 181
  - 150
  - 184
  - 185
  - 186
  - 187
  - 188
  - 191
  scipy.sparse._sputils.get_sum_dtype:
  - 208
  - 205
  - 206
  scipy.sparse._sputils.getdata:
  - 145
  - 138
  - 142
  scipy.sparse._sputils.getdtype:
  - 128
  - 129
  - 112
  - 119
  - 123
  - 124
  scipy.sparse._sputils.is_pydata_spmatrix:
  - 385
  - 388
  - 389
  scipy.sparse._sputils.isdense:
  - 270
  scipy.sparse._sputils.isintlike:
  - 224
  - 227
  - 230
  - 233
  - 219
  scipy.sparse._sputils.ismatrix:
  - 264
  - 265
  - 266
  scipy.sparse._sputils.isscalarlike:
  - 214
  - 215
  scipy.sparse._sputils.issequence:
  - 258
  - 259
  - 260
  scipy.sparse._sputils.isshape:
  - 241
  - 246
  - 247
  - 249
  - 250
  - 252
  scipy.sparse._sputils.matrix:
  - 415
  scipy.sparse._sputils.to_native:
  - 96
  - 108
  - 104
  scipy.sparse._sputils.upcast:
  - 44
  - 45
  - 48
  - 50
  - 51
  - 52
  - 25
  scipy.sparse._sputils.upcast_char:
  - 59
  - 60
  - 61
  - 63
  scipy.sparse._sputils.upcast_scalar:
  - 72
  - 69
  scipy.sparse._sputils.validateaxis:
  - 289
  - 292
  - 274
  - 276
  - 282
  scipy.sparse.base.__getattr__:
  - 31
  scipy.sparse.bsr.__getattr__:
  - 34
  scipy.sparse.compressed.__getattr__:
  - 41
  scipy.sparse.construct.__getattr__:
  - 42
  scipy.sparse.coo.__getattr__:
  - 35
  scipy.sparse.csc.__getattr__:
  - 23
  scipy.sparse.csgraph:
  - 1
  - 207
  scipy.sparse.csgraph._laplacian:
  - 1
  scipy.sparse.csgraph._laplacian._laplace:
  - 381
  scipy.sparse.csgraph._laplacian._laplace_normed:
  - 385
  - 386
  scipy.sparse.csgraph._laplacian._laplace_normed.<lambda1>:
  - 386
  scipy.sparse.csgraph._laplacian._laplace_normed_sym:
  - 398
  - 399
  scipy.sparse.csgraph._laplacian._laplace_normed_sym.<lambda1>:
  - 399
  scipy.sparse.csgraph._laplacian._laplace_sym:
  - 391
  scipy.sparse.csgraph._laplacian._laplace_sym.<lambda1>:
  - 393
  scipy.sparse.csgraph._laplacian._laplacian_dense:
  - 544
  - 547
  - 548
  - 549
  - 550
  - 551
  - 553
  - 557
  - 560
  - 562
  - 533
  - 536
  - 539
  - 540
  - 542
  scipy.sparse.csgraph._laplacian._laplacian_dense_flo:
  - 512
  - 513
  - 514
  - 518
  - 519
  - 521
  - 522
  - 523
  - 524
  - 525
  - 526
  - 488
  - 489
  - 491
  - 493
  - 496
  - 497
  - 499
  - 500
  - 503
  - 505
  - 506
  - 507
  - 509
  - 510
  - 511
  scipy.sparse.csgraph._laplacian._laplacian_sparse:
  - 481
  - 483
  - 452
  - 456
  - 457
  - 460
  - 463
  - 464
  - 466
  - 467
  - 468
  - 470
  - 474
  - 476
  - 477
  - 479
  scipy.sparse.csgraph._laplacian._laplacian_sparse_flo:
  - 410
  - 413
  - 414
  - 416
  - 417
  - 420
  - 422
  - 423
  - 424
  - 426
  - 427
  - 428
  - 429
  - 430
  - 431
  - 435
  - 436
  - 438
  - 439
  - 440
  - 441
  - 442
  - 443
  scipy.sparse.csgraph._laplacian._linearoperator:
  - 403
  scipy.sparse.csgraph._laplacian._setdiag_dense:
  - 376
  scipy.sparse.csgraph._laplacian.laplacian:
  - 353
  - 344
  - 359
  - 333
  - 334
  - 336
  - 337
  - 368
  - 369
  - 340
  - 341
  - 342
  - 370
  - 24
  - 346
  - 348
  scipy.sparse.csgraph._validation.validate_graph:
  - 32
  - 33
  - 34
  - 36
  - 39
  - 41
  - 42
  - 48
  - 17
  - 18
  - 51
  - 21
  - 55
  - 25
  - 58
  - 28
  - 29
  - 30
  scipy.sparse.csr.__getattr__:
  - 25
  scipy.sparse.data.__getattr__:
  - 21
  scipy.sparse.dia.__getattr__:
  - 27
  scipy.sparse.dok.__getattr__:
  - 30
  scipy.sparse.extract.__getattr__:
  - 21
  scipy.sparse.lil.__getattr__:
  - 29
  scipy.sparse.linalg:
  - 1
  - 145
  - 142
  scipy.sparse.linalg._dsolve:
  - 1
  - 70
  scipy.sparse.linalg._dsolve._add_newdocs:
  - 130
  - 3
  - 135
  - 110
  - 145
  - 85
  - 118
  - 125
  scipy.sparse.linalg._dsolve.linsolve._get_umf_family:
  - 96
  - 106
  - 109
  - 123
  - 124
  - 125
  scipy.sparse.linalg._dsolve.linsolve._safe_downcast_indices:
  - 131
  - 133
  - 136
  - 137
  - 140
  - 141
  scipy.sparse.linalg._dsolve.linsolve.factorized:
  - 577
  - 541
  - 578
  - 579
  - 603
  - 582
  - 584
  - 588
  - 589
  - 592
  - 570
  - 571
  - 573
  - 574
  scipy.sparse.linalg._dsolve.linsolve.factorized.solve:
  - 595
  - 597
  scipy.sparse.linalg._dsolve.linsolve.spilu:
  - 509
  - 515
  - 516
  - 519
  - 522
  - 524
  - 528
  - 529
  - 532
  - 502
  - 535
  - 505
  - 445
  - 510
  - 511
  scipy.sparse.linalg._dsolve.linsolve.spilu.csc_construct_func:
  - 504
  scipy.sparse.linalg._dsolve.linsolve.splu:
  - 416
  - 420
  - 421
  - 424
  - 427
  - 429
  - 431
  - 432
  - 435
  - 341
  - 438
  - 407
  - 410
  - 414
  - 415
  scipy.sparse.linalg._dsolve.linsolve.splu.csc_construct_func:
  - 409
  scipy.sparse.linalg._dsolve.linsolve.spsolve:
  - 256
  - 261
  - 262
  - 263
  - 266
  - 268
  - 271
  - 145
  - 275
  - 276
  - 277
  - 280
  - 281
  - 284
  - 285
  - 290
  - 291
  - 292
  - 293
  - 295
  - 296
  - 297
  - 298
  - 299
  - 302
  - 304
  - 305
  - 308
  - 315
  - 320
  - 321
  - 322
  - 324
  - 325
  - 326
  - 327
  - 328
  - 329
  - 330
  - 333
  - 334
  - 226
  - 228
  - 229
  - 231
  - 232
  - 233
  - 237
  - 238
  - 239
  - 243
  - 244
  - 245
  - 246
  - 247
  - 248
  - 249
  - 253
  scipy.sparse.linalg._dsolve.linsolve.spsolve_triangular:
  - 664
  - 665
  - 668
  - 669
  - 671
  - 672
  - 673
  - 675
  - 680
  - 682
  - 684
  - 687
  - 695
  - 696
  - 697
  - 705
  - 708
  - 709
  - 711
  - 714
  - 720
  - 722
  - 725
  - 728
  - 732
  - 608
  - 740
  - 743
  scipy.sparse.linalg._dsolve.linsolve.use_solver:
  - 90
  - 91
  - 92
  - 93
  - 30
  scipy.sparse.linalg._eigen:
  - 1
  - 21
  scipy.sparse.linalg._eigen._svds:
  - 10
  scipy.sparse.linalg._eigen._svds._herm:
  - 22
  scipy.sparse.linalg._eigen._svds._iv:
  - 30
  - 32
  - 36
  - 37
  - 38
  - 41
  - 46
  - 47
  - 50
  - 53
  - 54
  - 58
  - 61
  - 64
  - 67
  - 69
  - 73
  - 74
  - 75
  - 76
  - 81
  - 82
  - 87
  - 90
  - 95
  - 98
  scipy.sparse.linalg._eigen._svds.svds:
  - 517
  - 522
  - 523
  - 524
  - 525
  - 529
  - 532
  - 533
  - 534
  - 539
  - 547
  - 548
  - 549
  - 552
  - 554
  - 443
  - 451
  - 464
  - 465
  - 466
  - 474
  - 476
  - 480
  - 482
  - 483
  - 485
  - 487
  - 490
  - 107
  - 491
  - 500
  scipy.sparse.linalg._eigen._svds.svds.matmat_XH_X:
  - 472
  scipy.sparse.linalg._eigen._svds.svds.matvec_XH_X:
  - 469
  scipy.sparse.linalg._eigen._svds_doc._svds_arpack_doc:
  - 4
  scipy.sparse.linalg._eigen._svds_doc._svds_lobpcg_doc:
  - 138
  scipy.sparse.linalg._eigen._svds_doc._svds_propack_doc:
  - 269
  scipy.sparse.linalg._eigen.arpack:
  - 1
  scipy.sparse.linalg._eigen.arpack.arpack:
  - 161
  - 1
  - 1101
  - 210
  - 243
  - 91
  scipy.sparse.linalg._eigen.arpack.arpack.ArpackError:
  - 274
  scipy.sparse.linalg._eigen.arpack.arpack.ArpackError.__init__:
  - 280
  - 279
  scipy.sparse.linalg._eigen.arpack.arpack.ArpackNoConvergence:
  - 284
  scipy.sparse.linalg._eigen.arpack.arpack.ArpackNoConvergence.__init__:
  - 297
  scipy.sparse.linalg._eigen.arpack.arpack.IterInv:
  - 960
  scipy.sparse.linalg._eigen.arpack.arpack.IterInv.__init__:
  - 968
  - 978
  - 971
  - 975
  scipy.sparse.linalg._eigen.arpack.arpack.IterInv._matvec:
  - 984
  - 983
  scipy.sparse.linalg._eigen.arpack.arpack.IterOpInv:
  - 992
  scipy.sparse.linalg._eigen.arpack.arpack.IterOpInv.__init__:
  - 1025
  - 1009
  - 1010
  - 1011
  - 1012
  - 1016
  - 1017
  - 1022
  scipy.sparse.linalg._eigen.arpack.arpack.IterOpInv.__init__.mult_func:
  - 1004
  scipy.sparse.linalg._eigen.arpack.arpack.IterOpInv.__init__.mult_func_M_None:
  - 1007
  scipy.sparse.linalg._eigen.arpack.arpack.IterOpInv._matvec:
  - 1030
  - 1031
  scipy.sparse.linalg._eigen.arpack.arpack.LuInv:
  - 935
  scipy.sparse.linalg._eigen.arpack.arpack.LuInv.__init__:
  - 942
  scipy.sparse.linalg._eigen.arpack.arpack.LuInv._matvec:
  - 947
  scipy.sparse.linalg._eigen.arpack.arpack.SpLuInv:
  - 911
  scipy.sparse.linalg._eigen.arpack.arpack.SpLuInv.__init__:
  - 921
  - 918
  scipy.sparse.linalg._eigen.arpack.arpack.SpLuInv._matvec:
  - 928
  - 929
  - 931
  - 926
  - 927
  scipy.sparse.linalg._eigen.arpack.arpack._ArpackParams.__init__:
  - 321
  - 324
  - 326
  - 330
  - 333
  - 339
  - 340
  - 341
  - 343
  - 344
  - 313
  - 316
  - 318
  scipy.sparse.linalg._eigen.arpack.arpack._ArpackParams._raise_no_convergence:
  - 371
  - 374
  - 375
  scipy.sparse.linalg._eigen.arpack.arpack._SymmetricArpackParams.__init__:
  - 513
  - 516
  - 520
  - 521
  - 524
  - 533
  - 435
  - 436
  - 438
  - 440
  - 444
  - 446
  - 447
  - 449
  - 451
  - 454
  - 459
  - 460
  - 462
  - 465
  - 468
  - 471
  - 475
  - 476
  - 478
  - 480
  - 483
  - 486
  - 487
  - 489
  - 495
  - 496
  - 497
  - 500
  - 507
  - 510
  scipy.sparse.linalg._eigen.arpack.arpack._SymmetricArpackParams.__init__.<lambda2>:
  - 454
  scipy.sparse.linalg._eigen.arpack.arpack._SymmetricArpackParams.__init__.<lambda4>:
  - 471
  scipy.sparse.linalg._eigen.arpack.arpack._SymmetricArpackParams.__init__.<lambda5>:
  - 483
  scipy.sparse.linalg._eigen.arpack.arpack._SymmetricArpackParams.__init__.<lambda6>:
  - 496
  scipy.sparse.linalg._eigen.arpack.arpack._SymmetricArpackParams.__init__.<lambda8>:
  - 500
  - 501
  scipy.sparse.linalg._eigen.arpack.arpack._SymmetricArpackParams.extract:
  - 592
  - 586
  - 579
  - 580
  scipy.sparse.linalg._eigen.arpack.arpack._SymmetricArpackParams.iterate:
  - 537
  - 541
  - 542
  - 543
  - 545
  - 546
  - 548
  - 549
  - 550
  - 551
  - 552
  - 553
  - 554
  - 555
  - 556
  - 559
  - 560
  - 561
  - 562
  - 563
  - 568
  - 570
  - 571
  scipy.sparse.linalg._eigen.arpack.arpack._UnsymmetricArpackParams.__init__:
  - 641
  - 645
  - 647
  - 648
  - 650
  - 652
  - 655
  - 660
  - 661
  - 664
  - 669
  - 670
  - 675
  - 676
  - 678
  - 679
  - 680
  - 686
  - 690
  - 693
  - 696
  - 699
  - 703
  - 704
  - 713
  - 715
  - 717
  - 636
  - 637
  - 639
  scipy.sparse.linalg._eigen.arpack.arpack._UnsymmetricArpackParams.__init__.<lambda2>:
  - 655
  scipy.sparse.linalg._eigen.arpack.arpack._UnsymmetricArpackParams.__init__.<lambda3>:
  - 676
  scipy.sparse.linalg._eigen.arpack.arpack._UnsymmetricArpackParams.__init__.<lambda4>:
  - 678
  scipy.sparse.linalg._eigen.arpack.arpack._UnsymmetricArpackParams.__init__.<lambda6>:
  - 686
  scipy.sparse.linalg._eigen.arpack.arpack._UnsymmetricArpackParams.extract:
  - 896
  - 769
  - 770
  - 771
  - 772
  - 774
  - 775
  - 776
  - 777
  - 779
  - 784
  - 793
  - 801
  - 805
  - 808
  - 810
  - 826
  - 827
  - 829
  - 831
  - 832
  - 833
  - 834
  - 835
  - 836
  - 837
  - 838
  - 839
  - 840
  - 853
  - 859
  - 861
  - 864
  - 865
  - 866
  - 869
  - 871
  - 873
  - 875
  - 883
  - 889
  scipy.sparse.linalg._eigen.arpack.arpack._UnsymmetricArpackParams.iterate:
  - 738
  - 739
  - 740
  - 742
  - 743
  - 745
  - 746
  - 748
  - 749
  - 750
  - 751
  - 752
  - 722
  - 723
  - 757
  - 759
  - 760
  - 730
  scipy.sparse.linalg._eigen.arpack.arpack._aslinearoperator_with_dtype:
  - 904
  - 905
  - 903
  scipy.sparse.linalg._eigen.arpack.arpack._fast_spmatrix_to_csc:
  - 1043
  - 1044
  - 1045
  - 1047
  - 1051
  scipy.sparse.linalg._eigen.arpack.arpack.choose_ncv:
  - 307
  - 303
  scipy.sparse.linalg._eigen.arpack.arpack.eigs:
  - 1283
  - 1286
  - 1290
  - 1292
  - 1293
  - 1295
  - 1298
  - 1302
  - 1307
  - 1313
  - 1314
  - 1316
  - 1318
  - 1321
  - 1322
  - 1326
  - 1328
  - 1329
  - 1335
  - 1336
  - 1338
  - 1339
  - 1342
  - 1344
  - 1347
  - 1349
  - 1355
  - 1357
  - 1108
  - 1259
  - 1261
  - 1262
  - 1264
  - 1265
  - 1271
  - 1274
  - 1275
  - 1279
  scipy.sparse.linalg._eigen.arpack.arpack.eigsh:
  - 1666
  - 1668
  - 1669
  - 1672
  - 1673
  - 1677
  - 1679
  - 1680
  - 1681
  - 1684
  - 1685
  - 1688
  - 1694
  - 1567
  - 1568
  - 1571
  - 1700
  - 1573
  - 1702
  - 1575
  - 1577
  - 1582
  - 1587
  - 1589
  - 1590
  - 1592
  - 1593
  - 1599
  - 1602
  - 1603
  - 1607
  - 1611
  - 1614
  - 1618
  - 1363
  - 1620
  - 1621
  - 1624
  - 1627
  - 1632
  - 1638
  - 1639
  - 1641
  - 1643
  - 1646
  - 1650
  - 1653
  - 1654
  - 1657
  - 1659
  - 1662
  scipy.sparse.linalg._eigen.arpack.arpack.get_OPinv_matvec:
  - 1065
  - 1066
  - 1068
  - 1070
  - 1071
  - 1072
  - 1073
  - 1077
  - 1078
  - 1079
  - 1080
  - 1081
  - 1083
  - 1086
  - 1087
  - 1088
  - 1089
  - 1091
  - 1092
  - 1095
  - 1096
  scipy.sparse.linalg._eigen.arpack.arpack.get_inv_matvec:
  - 1056
  - 1057
  - 1058
  - 1059
  - 1061
  - 1055
  scipy.sparse.linalg._eigen.arpack.arpack.gmres_loose:
  - 954
  - 955
  - 956
  - 951
  scipy.sparse.linalg._eigen.lobpcg:
  - 1
  - 12
  - 15
  scipy.sparse.linalg._eigen.lobpcg.lobpcg:
  - 1
  scipy.sparse.linalg._eigen.lobpcg.lobpcg._applyConstraints:
  - 98
  - 99
  - 100
  scipy.sparse.linalg._eigen.lobpcg.lobpcg._as2d:
  - 48
  - 52
  - 55
  scipy.sparse.linalg._eigen.lobpcg.lobpcg._b_orthonormalize:
  - 129
  - 132
  - 133
  - 134
  - 106
  - 107
  - 108
  - 138
  - 139
  - 112
  - 145
  - 114
  - 115
  - 146
  - 121
  scipy.sparse.linalg._eigen.lobpcg.lobpcg._get_indx:
  - 154
  - 155
  - 156
  scipy.sparse.linalg._eigen.lobpcg.lobpcg._handle_gramA_gramB_verbosity:
  - 165
  - 166
  - 167
  scipy.sparse.linalg._eigen.lobpcg.lobpcg._makeMatMat:
  - 64
  - 66
  - 61
  - 63
  scipy.sparse.linalg._eigen.lobpcg.lobpcg._makeMatMat.<lambda1>:
  - 64
  scipy.sparse.linalg._eigen.lobpcg.lobpcg._matmul_inplace:
  - 70
  - 75
  - 79
  - 85
  - 87
  - 88
  scipy.sparse.linalg._eigen.lobpcg.lobpcg._report_nonhermitian:
  - 36
  - 37
  - 38
  - 39
  - 40
  - 41
  - 31
  scipy.sparse.linalg._eigen.lobpcg.lobpcg.lobpcg:
  - 514
  - 517
  - 1029
  - 1032
  - 521
  - 1033
  - 523
  - 524
  - 1034
  - 1021
  - 1042
  - 1043
  - 532
  - 1044
  - 534
  - 1045
  - 1047
  - 540
  - 1053
  - 1055
  - 1057
  - 546
  - 547
  - 548
  - 549
  - 550
  - 1058
  - 1060
  - 1061
  - 555
  - 556
  - 1068
  - 558
  - 1069
  - 1071
  - 1073
  - 564
  - 1076
  - 566
  - 567
  - 568
  - 569
  - 570
  - 1079
  - 1083
  - 1084
  - 575
  - 576
  - 578
  - 1091
  - 1092
  - 1093
  - 1095
  - 1096
  - 585
  - 1097
  - 1098
  - 1099
  - 589
  - 1100
  - 1101
  - 1103
  - 1104
  - 1109
  - 601
  - 602
  - 604
  - 605
  - 606
  - 609
  - 611
  - 612
  - 613
  - 624
  - 627
  - 631
  - 635
  - 637
  - 642
  - 643
  - 651
  - 653
  - 654
  - 656
  - 659
  - 660
  - 664
  - 668
  - 669
  - 676
  - 685
  - 694
  - 184
  - 701
  - 702
  - 703
  - 705
  - 707
  - 711
  - 713
  - 714
  - 721
  - 722
  - 723
  - 731
  - 733
  - 735
  - 736
  - 737
  - 738
  - 739
  - 741
  - 744
  - 746
  - 747
  - 748
  - 749
  - 750
  - 752
  - 754
  - 758
  - 759
  - 766
  - 769
  - 774
  - 779
  - 783
  - 784
  - 791
  - 793
  - 794
  - 795
  - 801
  - 805
  - 806
  - 818
  - 821
  - 823
  - 830
  - 833
  - 837
  - 838
  - 841
  - 842
  - 843
  - 844
  - 845
  - 846
  - 847
  - 849
  - 850
  - 851
  - 852
  - 854
  - 855
  - 856
  - 857
  - 858
  - 859
  - 860
  - 861
  - 862
  - 865
  - 867
  - 870
  - 871
  - 874
  - 877
  - 878
  - 882
  - 885
  - 890
  - 891
  - 899
  - 900
  - 901
  - 903
  - 906
  - 911
  - 918
  - 921
  - 925
  - 926
  - 932
  - 933
  - 935
  - 936
  - 938
  - 939
  - 944
  - 945
  - 946
  - 948
  - 949
  - 950
  - 955
  - 961
  - 962
  - 964
  - 965
  - 970
  - 971
  - 460
  - 973
  - 974
  - 466
  - 467
  - 468
  - 978
  - 470
  - 985
  - 986
  - 988
  - 990
  - 479
  - 992
  - 481
  - 993
  - 998
  - 487
  - 488
  - 999
  - 493
  - 495
  - 496
  - 1008
  - 498
  - 499
  - 1009
  - 1010
  - 502
  - 1014
  - 504
  - 1015
  - 509
  - 1022
  scipy.sparse.linalg._expm_multiply:
  - 1
  scipy.sparse.linalg._expm_multiply.LazyOperatorNormInfo:
  - 397
  scipy.sparse.linalg._expm_multiply.LazyOperatorNormInfo.__init__:
  - 409
  scipy.sparse.linalg._expm_multiply.LazyOperatorNormInfo.alpha:
  - 457
  - 454
  scipy.sparse.linalg._expm_multiply.LazyOperatorNormInfo.d:
  - 448
  - 449
  - 445
  scipy.sparse.linalg._expm_multiply.LazyOperatorNormInfo.onenorm:
  - 440
  - 441
  - 437
  scipy.sparse.linalg._expm_multiply.LazyOperatorNormInfo.set_scale:
  - 431
  scipy.sparse.linalg._expm_multiply._compute_cost_div_m:
  - 481
  - 460
  scipy.sparse.linalg._expm_multiply._compute_p_max:
  - 485
  - 496
  - 497
  - 498
  - 499
  scipy.sparse.linalg._expm_multiply._condition_3_13:
  - 592
  - 561
  - 588
  scipy.sparse.linalg._expm_multiply._exact_1_norm:
  - 32
  - 34
  - 29
  - 30
  - 31
  scipy.sparse.linalg._expm_multiply._exact_inf_norm:
  - 19
  - 20
  - 21
  - 22
  - 24
  scipy.sparse.linalg._expm_multiply._expm_multiply_interval:
  - 643
  - 645
  - 647
  - 650
  - 651
  - 653
  - 655
  - 661
  - 662
  - 663
  - 668
  - 669
  - 673
  - 675
  - 677
  - 680
  - 681
  - 692
  - 695
  - 697
  - 698
  - 701
  - 704
  - 707
  - 708
  - 711
  - 713
  - 714
  - 717
  - 719
  - 720
  - 723
  - 599
  scipy.sparse.linalg._expm_multiply._expm_multiply_interval_core_0:
  - 736
  - 739
  - 740
  - 741
  - 743
  - 744
  - 730
  scipy.sparse.linalg._expm_multiply._expm_multiply_interval_core_1:
  - 768
  - 770
  - 773
  - 749
  - 755
  - 756
  - 760
  - 762
  - 763
  - 764
  - 765
  - 766
  scipy.sparse.linalg._expm_multiply._expm_multiply_interval_core_2:
  - 800
  - 802
  - 804
  - 806
  - 809
  - 778
  - 786
  - 787
  - 791
  - 795
  - 797
  - 798
  - 799
  scipy.sparse.linalg._expm_multiply._expm_multiply_simple:
  - 215
  - 261
  - 262
  - 263
  - 267
  - 268
  - 270
  - 271
  - 243
  - 275
  - 245
  - 276
  - 247
  - 277
  - 250
  - 251
  - 253
  - 255
  scipy.sparse.linalg._expm_multiply._expm_multiply_simple_core:
  - 290
  - 291
  - 292
  - 293
  - 294
  - 295
  - 296
  - 298
  - 281
  - 284
  - 286
  scipy.sparse.linalg._expm_multiply._fragment_3_1:
  - 544
  - 549
  - 550
  - 551
  - 552
  - 553
  - 556
  - 503
  - 537
  - 541
  - 542
  - 543
  scipy.sparse.linalg._expm_multiply._ident_like:
  - 96
  - 97
  - 98
  - 99
  - 100
  - 102
  - 103
  - 104
  - 106
  - 94
  scipy.sparse.linalg._expm_multiply._onenormest_matrix_power:
  - 394
  - 355
  scipy.sparse.linalg._expm_multiply._trace:
  - 40
  - 42
  - 39
  scipy.sparse.linalg._expm_multiply.expm_multiply:
  - 209
  - 207
  - 206
  - 111
  scipy.sparse.linalg._expm_multiply.traceest:
  - 46
  - 79
  - 80
  - 83
  - 84
  - 85
  - 86
  - 87
  - 88
  scipy.sparse.linalg._interface:
  - 1
  scipy.sparse.linalg._interface.IdentityOperator.__init__:
  - 824
  scipy.sparse.linalg._interface.LinearOperator:
  - 56
  - 549
  - 559
  scipy.sparse.linalg._interface.LinearOperator.__add__:
  - 513
  - 514
  scipy.sparse.linalg._interface.LinearOperator.__init__:
  - 162
  - 167
  - 168
  - 170
  - 171
  scipy.sparse.linalg._interface.LinearOperator.__matmul__:
  - 452
  - 455
  scipy.sparse.linalg._interface.LinearOperator.__mul__:
  - 411
  scipy.sparse.linalg._interface.LinearOperator.__neg__:
  - 519
  scipy.sparse.linalg._interface.LinearOperator.__new__:
  - 147
  - 149
  - 151
  - 153
  - 154
  - 155
  scipy.sparse.linalg._interface.LinearOperator.__pow__:
  - 507
  - 508
  scipy.sparse.linalg._interface.LinearOperator.__repr__:
  - 529
  - 526
  scipy.sparse.linalg._interface.LinearOperator.__rmatmul__:
  - 458
  - 461
  scipy.sparse.linalg._interface.LinearOperator.__rmul__:
  - 464
  - 465
  - 467
  scipy.sparse.linalg._interface.LinearOperator.__sub__:
  - 522
  scipy.sparse.linalg._interface.LinearOperator.__truediv__:
  - 417
  - 414
  scipy.sparse.linalg._interface.LinearOperator._adjoint:
  - 562
  - 563
  scipy.sparse.linalg._interface.LinearOperator._init_dtype:
  - 178
  - 180
  - 181
  - 182
  scipy.sparse.linalg._interface.LinearOperator._matmat:
  - 185
  - 191
  scipy.sparse.linalg._interface.LinearOperator._matvec:
  - 194
  - 203
  scipy.sparse.linalg._interface.LinearOperator._rdot:
  - 487
  - 488
  - 489
  - 490
  - 492
  - 494
  - 498
  - 499
  - 500
  - 501
  - 470
  scipy.sparse.linalg._interface.LinearOperator._rmatmat:
  - 401
  - 402
  - 403
  - 405
  scipy.sparse.linalg._interface.LinearOperator._rmatvec:
  - 305
  - 300
  - 301
  scipy.sparse.linalg._interface.LinearOperator._transpose:
  - 566
  - 567
  scipy.sparse.linalg._interface.LinearOperator.adjoint:
  - 547
  - 534
  scipy.sparse.linalg._interface.LinearOperator.dot:
  - 420
  - 434
  - 435
  - 436
  - 437
  - 439
  - 441
  - 443
  - 444
  - 445
  - 446
  scipy.sparse.linalg._interface.LinearOperator.matmat:
  - 330
  - 331
  - 333
  - 336
  - 308
  - 340
  - 342
  - 349
  - 350
  scipy.sparse.linalg._interface.LinearOperator.matvec:
  - 229
  - 233
  - 236
  - 206
  - 238
  - 239
  - 241
  - 243
  - 244
  - 245
  - 246
  scipy.sparse.linalg._interface.LinearOperator.rmatmat:
  - 355
  - 387
  - 389
  - 396
  - 397
  - 376
  - 377
  - 379
  - 383
  scipy.sparse.linalg._interface.LinearOperator.rmatvec:
  - 288
  - 290
  - 291
  - 292
  - 293
  - 276
  - 280
  - 253
  - 283
  - 285
  - 286
  scipy.sparse.linalg._interface.LinearOperator.transpose:
  - 552
  - 557
  scipy.sparse.linalg._interface.MatrixLinearOperator.__init__:
  - 794
  scipy.sparse.linalg._interface.MatrixLinearOperator._adjoint:
  - 803
  - 804
  scipy.sparse.linalg._interface.MatrixLinearOperator._matmat:
  - 800
  scipy.sparse.linalg._interface._AdjointLinearOperator:
  - 617
  scipy.sparse.linalg._interface._AdjointLinearOperator.__init__:
  - 621
  scipy.sparse.linalg._interface._AdjointLinearOperator._matmat:
  - 632
  scipy.sparse.linalg._interface._AdjointLinearOperator._matvec:
  - 626
  scipy.sparse.linalg._interface._AdjointLinearOperator._rmatmat:
  - 635
  scipy.sparse.linalg._interface._AdjointLinearOperator._rmatvec:
  - 629
  scipy.sparse.linalg._interface._AdjointMatrixOperator.__init__:
  - 809
  scipy.sparse.linalg._interface._CustomLinearOperator:
  - 571
  scipy.sparse.linalg._interface._CustomLinearOperator.__init__:
  - 584
  - 575
  scipy.sparse.linalg._interface._CustomLinearOperator._adjoint:
  - 608
  scipy.sparse.linalg._interface._CustomLinearOperator._matmat:
  - 587
  - 588
  - 590
  scipy.sparse.linalg._interface._CustomLinearOperator._matvec:
  - 593
  scipy.sparse.linalg._interface._CustomLinearOperator._rmatmat:
  - 602
  - 603
  - 605
  scipy.sparse.linalg._interface._CustomLinearOperator._rmatvec:
  - 597
  - 599
  scipy.sparse.linalg._interface._PowerLinearOperator.__init__:
  - 761
  - 763
  - 766
  - 759
  scipy.sparse.linalg._interface._PowerLinearOperator._matmat:
  - 785
  scipy.sparse.linalg._interface._PowerLinearOperator._matvec:
  - 776
  scipy.sparse.linalg._interface._PowerLinearOperator._power:
  - 770
  - 771
  - 772
  scipy.sparse.linalg._interface._PowerLinearOperator._rmatmat:
  - 782
  scipy.sparse.linalg._interface._PowerLinearOperator._rmatvec:
  - 779
  scipy.sparse.linalg._interface._ProductLinearOperator.__init__:
  - 698
  - 699
  - 701
  - 703
  scipy.sparse.linalg._interface._ProductLinearOperator._matmat:
  - 717
  scipy.sparse.linalg._interface._ProductLinearOperator._matvec:
  - 708
  scipy.sparse.linalg._interface._ProductLinearOperator._rmatmat:
  - 714
  scipy.sparse.linalg._interface._ProductLinearOperator._rmatvec:
  - 711
  scipy.sparse.linalg._interface._ScaledLinearOperator.__init__:
  - 736
  - 737
  - 726
  - 728
  - 730
  scipy.sparse.linalg._interface._ScaledLinearOperator._adjoint:
  - 754
  scipy.sparse.linalg._interface._ScaledLinearOperator._matmat:
  - 750
  scipy.sparse.linalg._interface._ScaledLinearOperator._matvec:
  - 741
  scipy.sparse.linalg._interface._ScaledLinearOperator._rmatmat:
  - 747
  scipy.sparse.linalg._interface._ScaledLinearOperator._rmatvec:
  - 744
  scipy.sparse.linalg._interface._SumLinearOperator.__init__:
  - 672
  - 674
  - 677
  - 671
  scipy.sparse.linalg._interface._SumLinearOperator._matmat:
  - 689
  scipy.sparse.linalg._interface._SumLinearOperator._matvec:
  - 680
  scipy.sparse.linalg._interface._SumLinearOperator._rmatmat:
  - 686
  scipy.sparse.linalg._interface._SumLinearOperator._rmatvec:
  - 683
  scipy.sparse.linalg._interface._TransposedLinearOperator:
  - 638
  scipy.sparse.linalg._interface._TransposedLinearOperator.__init__:
  - 642
  scipy.sparse.linalg._interface._TransposedLinearOperator._matmat:
  - 655
  scipy.sparse.linalg._interface._TransposedLinearOperator._matvec:
  - 648
  scipy.sparse.linalg._interface._TransposedLinearOperator._rmatmat:
  - 658
  scipy.sparse.linalg._interface._TransposedLinearOperator._rmatvec:
  - 651
  scipy.sparse.linalg._interface._get_dtype:
  - 661
  - 663
  - 664
  - 665
  - 666
  scipy.sparse.linalg._interface.aslinearoperator:
  - 868
  - 871
  - 872
  - 874
  - 843
  - 875
  - 877
  - 878
  - 881
  - 886
  - 888
  - 890
  - 892
  scipy.sparse.linalg._isolve:
  - 1
  - 19
  scipy.sparse.linalg._isolve._gcrotmk:
  - 185
  scipy.sparse.linalg._isolve._gcrotmk._fgmres:
  - 129
  - 133
  - 134
  - 136
  - 142
  - 143
  - 17
  - 148
  - 152
  - 155
  - 163
  - 166
  - 169
  - 178
  - 64
  - 67
  - 71
  - 78
  - 81
  - 84
  - 85
  - 87
  - 92
  - 95
  - 97
  - 98
  - 100
  - 101
  - 103
  - 106
  - 107
  - 110
  - 112
  - 116
  - 117
  - 119
  - 122
  - 123
  - 124
  - 126
  - 127
  scipy.sparse.linalg._isolve._gcrotmk.gcrotmk:
  - 514
  - 189
  - 288
  - 290
  - 293
  - 299
  - 302
  - 307
  - 308
  - 310
  - 312
  - 314
  - 317
  - 319
  - 321
  - 323
  - 327
  - 329
  - 332
  - 337
  - 338
  - 339
  - 342
  - 345
  - 349
  - 353
  - 355
  - 356
  - 357
  - 360
  - 361
  - 364
  - 366
  - 367
  - 377
  - 378
  - 379
  - 380
  - 383
  - 385
  - 386
  - 388
  - 391
  - 393
  - 395
  - 396
  - 398
  - 402
  - 407
  - 411
  - 440
  - 441
  - 442
  - 443
  - 445
  - 448
  - 450
  - 451
  - 456
  - 457
  - 463
  - 464
  - 467
  - 468
  - 469
  - 472
  - 473
  - 475
  - 476
  - 478
  - 479
  - 483
  - 487
  - 489
  - 490
  - 495
  - 496
  - 497
  - 498
  - 499
  - 500
  - 501
  - 503
  - 507
  - 510
  - 511
  scipy.sparse.linalg._isolve.iterative:
  - 583
  - 872
  - 43
  - 172
  - 430
  - 315
  scipy.sparse.linalg._isolve.iterative._get_atol_rtol:
  - 35
  - 38
  - 12
  - 15
  - 19
  - 20
  - 22
  - 26
  - 30
  scipy.sparse.linalg._isolve.iterative.bicg:
  - 129
  - 130
  - 131
  - 133
  - 134
  - 136
  - 138
  - 141
  - 145
  - 148
  - 149
  - 151
  - 152
  - 153
  - 155
  - 156
  - 161
  - 164
  - 165
  - 46
  - 104
  - 105
  - 107
  - 109
  - 110
  - 112
  - 113
  - 115
  - 121
  - 126
  - 127
  scipy.sparse.linalg._isolve.iterative.bicgstab:
  - 257
  - 263
  - 264
  - 266
  - 267
  - 268
  - 270
  - 271
  - 272
  - 274
  - 275
  - 276
  - 283
  - 284
  - 286
  - 287
  - 288
  - 289
  - 290
  - 295
  - 297
  - 299
  - 300
  - 301
  - 175
  - 307
  - 308
  - 237
  - 238
  - 240
  - 242
  - 243
  - 245
  - 247
  - 249
  scipy.sparse.linalg._isolve.iterative.cg:
  - 385
  - 386
  - 388
  - 390
  - 393
  - 397
  - 402
  - 403
  - 404
  - 406
  - 407
  - 408
  - 413
  - 416
  - 417
  - 422
  - 423
  - 318
  - 380
  - 381
  - 383
  scipy.sparse.linalg._isolve.iterative.cgs:
  - 513
  - 515
  - 517
  - 518
  - 519
  - 525
  - 526
  - 527
  - 528
  - 530
  - 531
  - 534
  - 548
  - 549
  - 550
  - 552
  - 553
  - 554
  - 556
  - 557
  - 433
  - 562
  - 571
  - 575
  - 576
  - 495
  - 496
  - 498
  - 500
  - 501
  - 503
  - 505
  - 507
  scipy.sparse.linalg._isolve.iterative.gmres:
  - 768
  - 770
  - 771
  - 774
  - 778
  - 779
  - 780
  - 783
  - 784
  - 785
  - 789
  - 794
  - 801
  - 804
  - 807
  - 812
  - 686
  - 814
  - 817
  - 818
  - 691
  - 820
  - 822
  - 696
  - 699
  - 829
  - 832
  - 834
  - 835
  - 709
  - 711
  - 839
  - 714
  - 587
  - 844
  - 717
  - 845
  - 720
  - 848
  - 849
  - 723
  - 724
  - 851
  - 726
  - 852
  - 728
  - 729
  - 854
  - 731
  - 856
  - 733
  - 860
  - 735
  - 862
  - 864
  - 738
  - 866
  - 740
  - 869
  - 742
  - 751
  - 754
  - 757
  - 758
  - 759
  - 764
  - 765
  - 766
  - 767
  scipy.sparse.linalg._isolve.iterative.qmr:
  - 1024
  - 1027
  - 1028
  - 1030
  - 1031
  - 1032
  - 1033
  - 1036
  - 1037
  - 1041
  - 1044
  - 1046
  - 1047
  - 1048
  - 1049
  - 1052
  - 1053
  - 1055
  - 1056
  - 1060
  - 938
  - 939
  - 1066
  - 941
  - 1068
  - 943
  - 944
  - 946
  - 947
  - 1074
  - 1075
  - 959
  - 962
  - 968
  - 969
  - 971
  - 972
  - 975
  - 977
  - 984
  - 986
  - 987
  - 988
  - 989
  - 990
  - 991
  - 993
  - 994
  - 999
  - 1000
  - 1001
  - 1002
  - 875
  - 1003
  - 1004
  - 1005
  - 1013
  - 1015
  - 1016
  - 1018
  - 1019
  - 1021
  scipy.sparse.linalg._isolve.iterative.qmr.left_psolve:
  - 949
  scipy.sparse.linalg._isolve.iterative.qmr.left_rpsolve:
  - 955
  scipy.sparse.linalg._isolve.iterative.qmr.right_psolve:
  - 952
  scipy.sparse.linalg._isolve.iterative.qmr.right_rpsolve:
  - 958
  scipy.sparse.linalg._isolve.lgmres:
  - 16
  scipy.sparse.linalg._isolve.lgmres.lgmres:
  - 134
  - 136
  - 142
  - 146
  - 20
  - 148
  - 151
  - 153
  - 155
  - 159
  - 160
  - 163
  - 164
  - 167
  - 168
  - 169
  - 170
  - 174
  - 175
  - 179
  - 180
  - 182
  - 183
  - 187
  - 189
  - 192
  - 200
  - 207
  - 210
  - 211
  - 213
  - 217
  - 218
  - 221
  - 222
  - 223
  - 224
  - 226
  - 227
  - 228
  - 230
  - 233
  - 242
  scipy.sparse.linalg._isolve.lsmr:
  - 1
  scipy.sparse.linalg._isolve.lsmr.lsmr:
  - 31
  - 197
  - 198
  - 199
  - 200
  - 219
  - 221
  - 224
  - 225
  - 227
  - 229
  - 230
  - 231
  - 232
  - 233
  - 234
  - 235
  - 238
  - 239
  - 240
  - 241
  - 243
  - 244
  - 245
  - 247
  - 249
  - 250
  - 252
  - 255
  - 268
  - 269
  - 286
  - 293
  - 300
  - 301
  - 302
  - 305
  - 309
  - 310
  - 311
  - 317
  - 329
  - 330
  - 332
  - 335
  - 336
  - 337
  - 344
  - 349
  - 359
  - 385
  - 396
  - 400
  - 404
  - 405
  - 406
  - 407
  - 412
  - 413
  - 419
  - 433
  - 435
  - 437
  - 439
  - 444
  - 446
  - 448
  - 453
  - 454
  - 459
  - 461
  - 462
  - 468
  - 470
  - 475
  - 476
  - 477
  - 478
  - 479
  - 480
  - 481
  - 482
  - 483
  - 484
  scipy.sparse.linalg._isolve.lsqr:
  - 1
  - 58
  scipy.sparse.linalg._isolve.lsqr._sym_ortho:
  - 79
  - 80
  - 81
  - 82
  - 83
  - 85
  - 90
  - 62
  scipy.sparse.linalg._isolve.lsqr.lsqr:
  - 526
  - 528
  - 530
  - 532
  - 536
  - 538
  - 540
  - 543
  - 546
  - 548
  - 550
  - 553
  - 555
  - 557
  - 559
  - 562
  - 567
  - 569
  - 574
  - 575
  - 576
  - 577
  - 578
  - 583
  - 584
  - 585
  - 98
  - 322
  - 323
  - 324
  - 325
  - 328
  - 330
  - 341
  - 342
  - 343
  - 348
  - 349
  - 350
  - 351
  - 356
  - 372
  - 374
  - 375
  - 376
  - 378
  - 379
  - 380
  - 382
  - 384
  - 385
  - 387
  - 390
  - 392
  - 403
  - 404
  - 405
  - 411
  - 412
  - 413
  - 419
  - 428
  - 429
  - 431
  - 433
  - 434
  - 435
  - 436
  - 441
  - 442
  - 454
  - 469
  - 471
  - 481
  - 482
  - 491
  - 494
  - 495
  - 504
  - 506
  - 507
  scipy.sparse.linalg._isolve.minres:
  - 12
  scipy.sparse.linalg._isolve.minres.minres:
  - 15
  - 100
  - 102
  - 106
  - 107
  - 117
  - 132
  - 133
  - 134
  - 135
  - 136
  - 147
  - 153
  - 154
  - 157
  - 159
  - 161
  - 163
  - 164
  - 166
  - 167
  - 169
  - 171
  - 173
  - 177
  - 178
  - 179
  - 180
  - 181
  - 183
  - 187
  - 188
  - 189
  - 190
  - 192
  - 206
  - 209
  - 210
  - 213
  - 214
  - 215
  - 216
  - 224
  - 227
  - 230
  - 234
  - 236
  - 237
  - 239
  - 242
  - 243
  - 255
  - 260
  - 261
  - 277
  - 278
  - 285
  - 286
  - 292
  - 297
  - 301
  - 317
  - 320
  - 322
  - 325
  - 327
  - 329
  - 333
  - 335
  - 341
  - 343
  - 345
  - 347
  - 349
  - 351
  - 353
  - 355
  - 358
  - 363
  - 365
  - 366
  - 368
  - 369
  - 371
  - 374
  - 375
  - 376
  - 377
  - 378
  - 379
  - 380
  - 382
  - 387
  scipy.sparse.linalg._isolve.tfqmr:
  - 10
  scipy.sparse.linalg._isolve.tfqmr.tfqmr:
  - 128
  - 131
  - 135
  - 137
  - 139
  - 140
  - 13
  - 143
  - 145
  - 147
  - 148
  - 150
  - 151
  - 157
  - 158
  - 162
  - 165
  - 166
  - 169
  - 170
  - 171
  - 173
  - 175
  - 177
  - 181
  - 184
  - 188
  - 189
  - 191
  - 106
  - 108
  - 109
  - 110
  - 112
  - 115
  - 116
  - 117
  - 120
  - 121
  - 123
  - 124
  - 126
  scipy.sparse.linalg._isolve.utils.coerce:
  - 20
  - 22
  scipy.sparse.linalg._isolve.utils.make_system:
  - 32
  - 65
  - 67
  - 72
  - 74
  - 78
  - 79
  - 84
  - 87
  - 88
  - 90
  - 91
  - 94
  - 95
  - 99
  - 103
  - 104
  - 106
  - 109
  - 110
  - 114
  - 115
  - 116
  - 117
  - 118
  - 119
  - 121
  - 122
  - 125
  scipy.sparse.linalg._matfuncs:
  - 1
  scipy.sparse.linalg._matfuncs.MatrixPowerOperator.T:
  - 204
  scipy.sparse.linalg._matfuncs.MatrixPowerOperator.__init__:
  - 176
  - 174
  scipy.sparse.linalg._matfuncs.MatrixPowerOperator._matmat:
  - 198
  - 199
  scipy.sparse.linalg._matfuncs.MatrixPowerOperator._matvec:
  - 186
  - 187
  scipy.sparse.linalg._matfuncs.MatrixPowerOperator._rmatvec:
  - 192
  - 193
  - 194
  scipy.sparse.linalg._matfuncs.ProductOperator:
  - 208
  scipy.sparse.linalg._matfuncs.ProductOperator.T:
  - 250
  - 251
  scipy.sparse.linalg._matfuncs.ProductOperator.__init__:
  - 228
  - 229
  - 213
  - 214
  - 215
  - 219
  - 221
  - 222
  - 223
  scipy.sparse.linalg._matfuncs.ProductOperator._matmat:
  - 244
  - 245
  scipy.sparse.linalg._matfuncs.ProductOperator._matvec:
  - 233
  - 234
  scipy.sparse.linalg._matfuncs.ProductOperator._rmatvec:
  - 240
  - 238
  - 239
  scipy.sparse.linalg._matfuncs._ExpmPadeHelper:
  - 338
  scipy.sparse.linalg._matfuncs._ExpmPadeHelper.A10:
  - 411
  - 412
  scipy.sparse.linalg._matfuncs._ExpmPadeHelper.A2:
  - 384
  - 383
  scipy.sparse.linalg._matfuncs._ExpmPadeHelper.A4:
  - 390
  - 391
  scipy.sparse.linalg._matfuncs._ExpmPadeHelper.A6:
  - 397
  - 398
  scipy.sparse.linalg._matfuncs._ExpmPadeHelper.A8:
  - 404
  - 405
  scipy.sparse.linalg._matfuncs._ExpmPadeHelper.__init__:
  - 377
  - 348
  scipy.sparse.linalg._matfuncs._ExpmPadeHelper.d10_loose:
  - 480
  - 483
  - 484
  - 478
  scipy.sparse.linalg._matfuncs._ExpmPadeHelper.d10_tight:
  - 436
  - 437
  scipy.sparse.linalg._matfuncs._ExpmPadeHelper.d4_loose:
  - 448
  - 442
  - 444
  - 447
  scipy.sparse.linalg._matfuncs._ExpmPadeHelper.d4_tight:
  - 418
  - 419
  scipy.sparse.linalg._matfuncs._ExpmPadeHelper.d6_loose:
  - 456
  - 459
  - 460
  - 454
  scipy.sparse.linalg._matfuncs._ExpmPadeHelper.d6_tight:
  - 424
  - 425
  scipy.sparse.linalg._matfuncs._ExpmPadeHelper.d8_loose:
  - 472
  - 466
  - 468
  - 471
  scipy.sparse.linalg._matfuncs._ExpmPadeHelper.d8_tight:
  - 430
  - 431
  scipy.sparse.linalg._matfuncs._ExpmPadeHelper.pade13_scaled:
  - 539
  - 532
  - 535
  scipy.sparse.linalg._matfuncs._ExpmPadeHelper.pade3:
  - 490
  scipy.sparse.linalg._matfuncs._ExpmPadeHelper.pade5:
  - 498
  scipy.sparse.linalg._matfuncs._ExpmPadeHelper.pade7:
  - 506
  scipy.sparse.linalg._matfuncs._ExpmPadeHelper.pade9:
  - 515
  scipy.sparse.linalg._matfuncs._ell:
  - 864
  - 837
  - 821
  - 855
  - 858
  - 861
  - 862
  - 863
  scipy.sparse.linalg._matfuncs._eq_10_42:
  - 768
  - 748
  scipy.sparse.linalg._matfuncs._exp_sinch:
  - 744
  - 740
  - 717
  - 742
  scipy.sparse.linalg._matfuncs._expm:
  - 640
  - 641
  - 642
  - 643
  - 646
  - 647
  - 648
  - 649
  - 652
  - 653
  - 654
  - 655
  - 656
  - 657
  - 658
  - 661
  - 662
  - 666
  - 670
  - 671
  - 672
  - 673
  - 674
  - 676
  - 679
  - 680
  - 599
  - 600
  - 601
  - 606
  - 607
  - 608
  - 609
  - 613
  - 614
  - 618
  - 619
  - 621
  - 624
  - 625
  - 626
  - 629
  - 631
  - 636
  scipy.sparse.linalg._matfuncs._fragment_2_1:
  - 801
  - 802
  - 772
  - 809
  - 813
  - 788
  - 792
  - 793
  - 796
  - 797
  scipy.sparse.linalg._matfuncs._is_upper_triangular:
  - 115
  - 116
  - 119
  - 120
  - 122
  - 125
  scipy.sparse.linalg._matfuncs._onenorm_matrix_power_nnm:
  - 98
  - 100
  - 101
  - 106
  - 108
  - 109
  - 110
  - 81
  scipy.sparse.linalg._matfuncs._onenormest_matrix_power:
  - 256
  - 291
  - 292
  scipy.sparse.linalg._matfuncs._onenormest_product:
  - 297
  - 333
  - 334
  scipy.sparse.linalg._matfuncs._smart_matrix_product:
  - 160
  - 129
  - 162
  - 164
  - 165
  - 167
  - 150
  - 152
  - 155
  - 156
  - 157
  - 158
  - 159
  scipy.sparse.linalg._matfuncs._solve_P_Q:
  - 706
  - 707
  - 708
  - 709
  - 710
  - 711
  - 685
  scipy.sparse.linalg._matfuncs.expm:
  - 547
  - 591
  scipy.sparse.linalg._matfuncs.inv:
  - 32
  - 75
  - 76
  - 71
  scipy.sparse.linalg._matfuncs.matrix_power:
  - 928
  - 929
  - 867
  - 931
  - 932
  - 934
  - 935
  - 920
  - 923
  - 924
  - 925
  scipy.sparse.linalg._norm:
  - 1
  scipy.sparse.linalg._norm._sparse_frobenius_norm:
  - 16
  - 15
  scipy.sparse.linalg._norm.norm:
  - 128
  - 131
  - 136
  - 138
  - 141
  - 143
  - 145
  - 147
  - 20
  - 150
  - 151
  - 152
  - 153
  - 154
  - 155
  - 156
  - 157
  - 158
  - 160
  - 163
  - 165
  - 168
  - 169
  - 170
  - 171
  - 172
  - 174
  - 175
  - 177
  - 178
  - 179
  - 182
  - 185
  - 186
  - 187
  - 188
  - 189
  - 191
  - 113
  - 117
  - 118
  - 121
  - 123
  - 125
  scipy.sparse.linalg._onenormest:
  - 1
  scipy.sparse.linalg._onenormest._algorithm_2_2:
  - 260
  - 261
  - 265
  - 266
  - 267
  - 268
  - 275
  - 277
  - 278
  - 279
  - 280
  - 282
  - 283
  - 284
  - 294
  - 295
  - 297
  - 299
  - 300
  - 303
  - 304
  - 306
  - 310
  - 311
  - 312
  - 222
  scipy.sparse.linalg._onenormest._blocked_elementwise:
  - 122
  scipy.sparse.linalg._onenormest._blocked_elementwise.wrapper:
  - 129
  - 130
  - 132
  - 133
  - 136
  - 137
  scipy.sparse.linalg._onenormest._max_abs_axis1:
  - 161
  scipy.sparse.linalg._onenormest._onenormest_core:
  - 387
  - 388
  - 391
  - 392
  - 393
  - 394
  - 397
  - 399
  - 401
  - 405
  - 407
  - 408
  - 409
  - 410
  - 411
  - 415
  - 420
  - 422
  - 425
  - 427
  - 430
  - 431
  - 432
  - 436
  - 438
  - 441
  - 448
  - 450
  - 325
  - 453
  - 458
  - 459
  - 460
  - 461
  - 463
  - 464
  - 466
  - 365
  - 366
  - 367
  - 369
  - 372
  - 383
  scipy.sparse.linalg._onenormest._sum_abs_axis0:
  - 168
  - 169
  - 167
  scipy.sparse.linalg._onenormest.column_needs_resampling:
  - 208
  - 205
  - 207
  scipy.sparse.linalg._onenormest.elementary_vector:
  - 177
  scipy.sparse.linalg._onenormest.every_col_of_X_is_parallel_to_a_col_of_Y:
  - 193
  - 194
  scipy.sparse.linalg._onenormest.less_than_or_close:
  - 218
  scipy.sparse.linalg._onenormest.onenormest:
  - 98
  - 99
  - 102
  - 103
  - 107
  - 12
  - 110
  - 112
  - 114
  - 85
  - 86
  - 93
  - 94
  - 95
  scipy.sparse.linalg._onenormest.resample_column:
  - 214
  scipy.sparse.linalg._onenormest.sign_round_up:
  - 144
  - 153
  - 155
  scipy.sparse.linalg._onenormest.vectors_are_parallel:
  - 186
  - 189
  scipy.sparse.linalg._special_sparse_arrays.LaplacianNd:
  - 11
  scipy.sparse.linalg._special_sparse_arrays.LaplacianNd.__init__:
  - 249
  - 259
  - 260
  scipy.sparse.linalg._special_sparse_arrays.LaplacianNd._eigenvalue_ordering:
  - 263
  - 267
  - 268
  - 269
  - 271
  - 272
  - 273
  - 274
  - 276
  - 277
  - 278
  - 279
  - 280
  - 282
  - 284
  - 285
  - 287
  scipy.sparse.linalg._special_sparse_arrays.LaplacianNd._ev1d:
  - 321
  - 322
  - 323
  - 324
  - 326
  - 327
  - 330
  - 311
  - 314
  - 315
  - 316
  - 317
  - 318
  - 319
  scipy.sparse.linalg._special_sparse_arrays.LaplacianNd._matmat:
  - 509
  scipy.sparse.linalg._special_sparse_arrays.LaplacianNd._matvec:
  - 477
  - 478
  - 480
  - 481
  - 482
  - 483
  - 484
  - 485
  - 486
  - 489
  - 490
  - 491
  - 494
  - 496
  - 497
  - 498
  - 501
  - 502
  - 503
  - 506
  scipy.sparse.linalg._special_sparse_arrays.LaplacianNd._one_eve:
  - 334
  - 337
  - 339
  - 340
  - 341
  scipy.sparse.linalg._special_sparse_arrays.LaplacianNd.eigenvalues:
  - 307
  - 294
  scipy.sparse.linalg._special_sparse_arrays.LaplacianNd.eigenvectors:
  - 358
  - 359
  - 362
  - 363
  - 365
  - 366
  - 367
  - 368
  - 344
  scipy.sparse.linalg._special_sparse_arrays.LaplacianNd.toarray:
  - 384
  - 385
  - 387
  - 392
  - 393
  - 394
  - 396
  - 399
  - 400
  - 413
  - 414
  - 415
  - 421
  - 424
  - 425
  - 432
  - 371
  - 381
  - 382
  scipy.sparse.linalg._special_sparse_arrays.LaplacianNd.tosparse:
  - 449
  - 451
  - 454
  - 458
  - 462
  - 463
  - 464
  - 465
  - 435
  - 468
  - 469
  - 470
  - 471
  - 473
  - 445
  - 446
  - 447
  scipy.sparse.linalg._special_sparse_arrays.MikotaK:
  - 757
  scipy.sparse.linalg._special_sparse_arrays.MikotaK.__init__:
  - 784
  - 788
  - 789
  scipy.sparse.linalg._special_sparse_arrays.MikotaK._matmat:
  - 826
  - 821
  scipy.sparse.linalg._special_sparse_arrays.MikotaK._matvec:
  - 808
  - 809
  - 810
  - 803
  scipy.sparse.linalg._special_sparse_arrays.MikotaK.toarray:
  - 800
  scipy.sparse.linalg._special_sparse_arrays.MikotaK.tobanded:
  - 792
  scipy.sparse.linalg._special_sparse_arrays.MikotaK.tosparse:
  - 796
  scipy.sparse.linalg._special_sparse_arrays.MikotaM:
  - 689
  scipy.sparse.linalg._special_sparse_arrays.MikotaM.__init__:
  - 715
  scipy.sparse.linalg._special_sparse_arrays.MikotaM._diag:
  - 720
  scipy.sparse.linalg._special_sparse_arrays.MikotaM._matmat:
  - 747
  - 742
  scipy.sparse.linalg._special_sparse_arrays.MikotaM._matvec:
  - 738
  - 739
  - 733
  scipy.sparse.linalg._special_sparse_arrays.MikotaM.toarray:
  - 730
  scipy.sparse.linalg._special_sparse_arrays.MikotaM.tobanded:
  - 723
  scipy.sparse.linalg._special_sparse_arrays.MikotaM.tosparse:
  - 727
  scipy.sparse.linalg._special_sparse_arrays.MikotaPair:
  - 836
  scipy.sparse.linalg._special_sparse_arrays.MikotaPair.__init__:
  - 928
  - 929
  scipy.sparse.linalg._special_sparse_arrays.MikotaPair.eigenvalues:
  - 945
  - 947
  - 932
  scipy.sparse.linalg._special_sparse_arrays.Sakurai:
  - 519
  scipy.sparse.linalg._special_sparse_arrays.Sakurai.__init__:
  - 613
  scipy.sparse.linalg._special_sparse_arrays.Sakurai._matmat:
  - 674
  - 679
  scipy.sparse.linalg._special_sparse_arrays.Sakurai._matvec:
  - 658
  - 663
  - 664
  - 665
  - 669
  - 670
  scipy.sparse.linalg._special_sparse_arrays.Sakurai.eigenvalues:
  - 616
  - 632
  - 629
  - 631
  scipy.sparse.linalg._special_sparse_arrays.Sakurai.toarray:
  - 655
  scipy.sparse.linalg._special_sparse_arrays.Sakurai.tobanded:
  - 640
  - 641
  - 635
  - 638
  - 639
  scipy.sparse.linalg._special_sparse_arrays.Sakurai.tosparse:
  - 648
  - 651
  - 644
  scipy.sparse.linalg._svdp:
  - 1
  scipy.sparse.linalg._svdp._AProd:
  - 52
  scipy.sparse.linalg._svdp._AProd.__call__:
  - 65
  - 66
  - 68
  scipy.sparse.linalg._svdp._AProd.__init__:
  - 60
  - 62
  scipy.sparse.linalg._svdp._AProd.dtype:
  - 79
  scipy.sparse.linalg._svdp._svdp:
  - 258
  - 262
  - 264
  - 277
  - 278
  - 280
  - 283
  - 285
  - 286
  - 289
  - 290
  - 292
  - 296
  - 301
  - 302
  - 179
  - 307
  - 310
  - 183
  - 185
  - 186
  - 313
  - 188
  - 191
  - 321
  - 199
  - 200
  - 202
  - 207
  - 210
  - 212
  - 86
  - 216
  - 217
  - 227
  - 228
  - 233
  - 234
  - 235
  - 236
  - 244
  - 245
  - 246
  - 247
  - 249
  - 250
  - 253
  - 255
  scipy.sparse.linalg.dsolve.__getattr__:
  - 22
  scipy.sparse.linalg.eigen.__getattr__:
  - 21
  scipy.sparse.linalg.interface.__getattr__:
  - 20
  scipy.sparse.linalg.isolve.__getattr__:
  - 20
  scipy.sparse.linalg.matfuncs.__getattr__:
  - 20
  scipy.sparse.sparsetools.__getattr__:
  - 96
  scipy.sparse.spfuncs.__getattr__:
  - 20
  scipy.sparse.sputils.__getattr__:
  - 42
  scipy.spatial:
  - 128
  - 1
  - 121
  scipy.spatial._geometric_slerp:
  - 11
  scipy.spatial._geometric_slerp._geometric_slerp:
  - 17
  - 18
  - 19
  - 24
  - 25
  - 26
  - 30
  - 31
  scipy.spatial._geometric_slerp.geometric_slerp:
  - 41
  - 178
  - 179
  - 180
  - 182
  - 186
  - 190
  - 194
  - 199
  - 200
  - 203
  - 204
  - 210
  - 213
  - 215
  - 219
  - 220
  - 225
  - 227
  - 228
  - 230
  - 233
  - 234
  - 236
  - 238
  scipy.spatial._kdtree.KDTree:
  - 207
  scipy.spatial._kdtree.KDTree.__init__:
  - 360
  - 355
  - 356
  scipy.spatial._kdtree.KDTree.count_neighbors:
  - 657
  - 802
  scipy.spatial._kdtree.KDTree.innernode.__init__:
  - 329
  - 330
  - 331
  - 332
  scipy.spatial._kdtree.KDTree.node.__eq__:
  - 316
  scipy.spatial._kdtree.KDTree.node.__ge__:
  - 313
  scipy.spatial._kdtree.KDTree.node.__gt__:
  - 307
  scipy.spatial._kdtree.KDTree.node.__init__:
  - 299
  - 300
  scipy.spatial._kdtree.KDTree.node.__le__:
  - 310
  scipy.spatial._kdtree.KDTree.node.__lt__:
  - 304
  scipy.spatial._kdtree.KDTree.node._create:
  - 290
  - 291
  - 292
  - 293
  - 294
  - 296
  scipy.spatial._kdtree.KDTree.query:
  - 365
  - 468
  - 469
  - 472
  - 475
  - 476
  - 477
  scipy.spatial._kdtree.KDTree.query_ball_point:
  - 552
  - 482
  - 554
  - 551
  scipy.spatial._kdtree.KDTree.query_ball_tree:
  - 606
  - 558
  scipy.spatial._kdtree.KDTree.query_pairs:
  - 609
  - 654
  scipy.spatial._kdtree.KDTree.sparse_distance_matrix:
  - 865
  - 806
  scipy.spatial._kdtree.KDTree.tree:
  - 348
  - 349
  scipy.spatial._kdtree.Rectangle:
  - 99
  scipy.spatial._kdtree.Rectangle.__init__:
  - 104
  - 105
  - 106
  scipy.spatial._kdtree.Rectangle.__repr__:
  - 110
  scipy.spatial._kdtree.Rectangle.max_distance_point:
  - 169
  - 158
  scipy.spatial._kdtree.Rectangle.max_distance_rectangle:
  - 202
  - 203
  - 191
  scipy.spatial._kdtree.Rectangle.min_distance_point:
  - 152
  - 153
  - 140
  scipy.spatial._kdtree.Rectangle.min_distance_rectangle:
  - 185
  - 172
  - 183
  scipy.spatial._kdtree.Rectangle.split:
  - 131
  - 133
  - 134
  - 136
  - 117
  scipy.spatial._kdtree.Rectangle.volume:
  - 113
  - 114
  scipy.spatial._kdtree.distance_matrix:
  - 901
  - 870
  - 903
  - 906
  - 910
  - 911
  - 913
  - 914
  - 915
  - 916
  - 918
  - 919
  scipy.spatial._kdtree.minkowski_distance:
  - 64
  - 90
  - 91
  - 92
  - 93
  - 95
  scipy.spatial._kdtree.minkowski_distance_p:
  - 42
  - 43
  - 12
  - 48
  - 52
  - 53
  - 55
  - 56
  - 57
  - 58
  - 60
  scipy.spatial._plotutils._adjust_bounds:
  - 32
  - 33
  - 29
  - 30
  - 31
  scipy.spatial._plotutils._held_figure:
  - 11
  - 12
  - 13
  - 14
  - 18
  - 19
  - 20
  - 22
  - 23
  - 25
  scipy.spatial._plotutils.convex_hull_plot_2d:
  - 140
  - 143
  - 145
  - 148
  - 95
  scipy.spatial._plotutils.delaunay_plot_2d:
  - 38
  - 81
  - 85
  - 86
  - 88
  scipy.spatial._plotutils.voronoi_plot_2d:
  - 256
  - 261
  - 267
  - 155
  - 219
  - 222
  - 223
  - 224
  - 225
  - 226
  - 228
  - 229
  - 230
  - 232
  - 233
  - 237
  - 238
  - 239
  - 240
  - 245
  - 246
  - 248
  - 249
  - 250
  - 252
  - 254
  scipy.spatial._procrustes:
  - 1
  scipy.spatial._procrustes.procrustes:
  - 129
  - 100
  - 101
  - 103
  - 105
  - 107
  - 111
  - 16
  - 112
  - 114
  - 115
  - 117
  - 125
  - 126
  scipy.spatial._spherical_voronoi:
  - 1
  scipy.spatial._spherical_voronoi.SphericalVoronoi:
  - 37
  scipy.spatial._spherical_voronoi.SphericalVoronoi.__init__:
  - 192
  - 193
  - 196
  - 169
  - 174
  - 175
  - 177
  - 178
  - 180
  - 183
  - 185
  - 188
  - 191
  scipy.spatial._spherical_voronoi.SphericalVoronoi._calc_vertices_regions:
  - 225
  - 227
  - 228
  - 199
  - 208
  - 215
  - 217
  - 219
  - 221
  - 223
  scipy.spatial._spherical_voronoi.SphericalVoronoi._calculate_areas_2d:
  - 314
  - 307
  - 308
  - 316
  scipy.spatial._spherical_voronoi.SphericalVoronoi._calculate_areas_3d:
  - 289
  - 293
  - 264
  - 265
  - 266
  - 296
  - 272
  - 273
  - 275
  - 279
  - 280
  scipy.spatial._spherical_voronoi.SphericalVoronoi.calculate_areas:
  - 321
  - 336
  - 337
  - 338
  - 339
  scipy.spatial._spherical_voronoi.SphericalVoronoi.sort_vertices_of_regions:
  - 232
  - 259
  - 261
  scipy.spatial._spherical_voronoi.calculate_solid_angles:
  - 32
  - 33
  - 23
  - 29
  - 30
  - 31
  scipy.spatial.ckdtree.__getattr__:
  - 25
  scipy.spatial.distance:
  - 1
  - 1798
  - 1806
  - 1814
  - 1819
  - 1820
  - 1693
  - 1822
  - 1700
  - 1830
  - 1707
  - 1838
  - 1714
  - 1845
  - 1721
  - 1725
  - 1726
  - 1728
  - 1732
  - 1733
  - 1860
  - 1735
  - 1608
  - 1609
  - 1743
  - 1750
  - 1759
  - 1767
  - 1771
  - 1772
  - 1774
  - 1782
  - 1787
  - 1788
  - 1790
  scipy.spatial.distance.CDistMetricWrapper.__call__:
  - 1633
  - 1636
  - 1638
  - 1639
  - 1621
  - 1622
  - 1627
  - 1630
  - 1631
  scipy.spatial.distance.MetricInfo:
  - 1686
  scipy.spatial.distance.PDistMetricWrapper.__call__:
  - 1664
  - 1648
  - 1652
  - 1655
  - 1656
  - 1658
  - 1661
  - 1663
  scipy.spatial.distance._cdist_callable:
  - 2643
  - 2644
  - 2645
  - 2646
  scipy.spatial.distance._convert_to_type:
  - 145
  scipy.spatial.distance._copy_array_if_base_present:
  - 128
  - 129
  - 127
  scipy.spatial.distance._correlation_cdist_wrap:
  - 136
  - 134
  - 135
  scipy.spatial.distance._correlation_pdist_wrap:
  - 140
  - 141
  scipy.spatial.distance._nbool_correspond_all:
  - 162
  - 165
  - 166
  - 167
  - 168
  - 149
  - 152
  - 153
  - 154
  - 155
  - 157
  - 158
  - 159
  scipy.spatial.distance._nbool_correspond_ft_tf:
  - 173
  - 176
  - 177
  - 179
  - 180
  - 181
  - 184
  - 187
  - 188
  scipy.spatial.distance._pdist_callable:
  - 2633
  - 2634
  - 2635
  - 2631
  scipy.spatial.distance._prepare_out_argument:
  - 2616
  - 2617
  - 2619
  - 2621
  - 2623
  scipy.spatial.distance._validate_cdist_input:
  - 196
  - 198
  - 199
  - 203
  - 204
  scipy.spatial.distance._validate_hamming_kwargs:
  - 224
  - 229
  - 222
  scipy.spatial.distance._validate_mahalanobis_kwargs:
  - 234
  - 235
  - 236
  - 244
  - 245
  - 246
  - 247
  - 248
  scipy.spatial.distance._validate_minkowski_kwargs:
  - 257
  - 253
  - 254
  scipy.spatial.distance._validate_pdist_input:
  - 273
  - 274
  - 267
  - 269
  scipy.spatial.distance._validate_seuclidean_kwargs:
  - 289
  - 293
  - 279
  - 280
  - 281
  - 282
  - 283
  - 285
  - 286
  scipy.spatial.distance._validate_vector:
  - 299
  - 300
  scipy.spatial.distance._validate_weight_with_size:
  - 209
  - 210
  - 217
  - 213
  scipy.spatial.distance._validate_weights:
  - 306
  - 307
  scipy.spatial.distance.braycurtis:
  - 1121
  - 1122
  - 1123
  - 1124
  - 1125
  - 1126
  - 1129
  - 1085
  scipy.spatial.distance.canberra:
  - 1133
  - 1172
  - 1173
  - 1174
  - 1175
  - 1176
  - 1177
  - 1178
  - 1179
  - 1181
  - 1183
  scipy.spatial.distance.cdist:
  - 2951
  - 2952
  - 2957
  - 2959
  - 2961
  - 2969
  - 2970
  - 2971
  - 2972
  - 2973
  - 2975
  - 2976
  - 2977
  - 2978
  - 2979
  - 2981
  - 2982
  - 2983
  - 2984
  - 2986
  - 2988
  - 2651
  scipy.spatial.distance.chebyshev:
  - 1040
  - 1073
  - 1074
  - 1075
  - 1076
  - 1078
  - 1081
  scipy.spatial.distance.cityblock:
  - 947
  - 983
  - 984
  - 985
  - 986
  - 987
  - 989
  scipy.spatial.distance.correlation:
  - 576
  - 644
  - 645
  - 646
  - 647
  - 649
  - 625
  - 626
  - 627
  - 628
  - 629
  - 630
  - 631
  - 632
  - 633
  - 635
  - 636
  - 639
  scipy.spatial.distance.cosine:
  - 653
  - 695
  scipy.spatial.distance.dice:
  - 1376
  - 1377
  - 1379
  - 1380
  - 1381
  - 1382
  - 1383
  - 1385
  - 1386
  - 1387
  - 1326
  - 1372
  - 1373
  - 1374
  - 1375
  scipy.spatial.distance.directed_hausdorff:
  - 409
  - 404
  - 405
  - 406
  - 313
  scipy.spatial.distance.euclidean:
  - 520
  - 485
  scipy.spatial.distance.hamming:
  - 742
  - 743
  - 744
  - 747
  - 748
  - 749
  - 751
  - 752
  - 753
  - 699
  scipy.spatial.distance.is_valid_dm:
  - 2432
  - 2462
  - 2437
  - 2438
  - 2444
  - 2445
  - 2352
  - 2419
  - 2451
  - 2452
  - 2423
  - 2424
  - 2459
  - 2461
  - 2430
  - 2431
  scipy.spatial.distance.is_valid_y:
  - 2528
  - 2529
  - 2468
  - 2539
  - 2541
  - 2542
  - 2515
  - 2518
  - 2519
  - 2527
  scipy.spatial.distance.jaccard:
  - 816
  - 817
  - 819
  - 820
  - 757
  - 821
  - 822
  - 825
  - 826
  scipy.spatial.distance.jensenshannon:
  - 1188
  - 1260
  - 1261
  - 1262
  - 1263
  - 1265
  - 1266
  - 1267
  - 1268
  - 1270
  - 1271
  - 1272
  scipy.spatial.distance.kulczynski1:
  - 889
  - 890
  - 891
  - 892
  - 893
  - 831
  scipy.spatial.distance.mahalanobis:
  - 993
  - 1031
  - 1032
  - 1033
  - 1035
  - 1036
  scipy.spatial.distance.minkowski:
  - 480
  - 478
  - 463
  - 464
  - 465
  - 468
  - 469
  - 470
  - 472
  - 474
  - 475
  - 414
  scipy.spatial.distance.num_obs_dm:
  - 2573
  - 2548
  - 2572
  scipy.spatial.distance.num_obs_y:
  - 2602
  - 2603
  - 2605
  - 2608
  - 2609
  - 2578
  scipy.spatial.distance.pdist:
  - 2176
  - 2177
  - 2179
  - 2181
  - 2182
  - 2183
  - 2184
  - 2186
  - 2188
  - 1866
  - 2157
  - 2161
  - 2166
  - 2167
  - 2168
  - 2170
  - 2171
  - 2174
  - 2175
  scipy.spatial.distance.rogerstanimoto:
  - 1391
  - 1432
  - 1433
  - 1434
  - 1435
  - 1436
  - 1437
  scipy.spatial.distance.russellrao:
  - 1441
  - 1482
  - 1483
  - 1484
  - 1485
  - 1486
  - 1487
  - 1488
  - 1489
  - 1491
  - 1492
  - 1493
  - 1494
  scipy.spatial.distance.seuclidean:
  - 899
  - 937
  - 938
  - 939
  - 940
  - 943
  scipy.spatial.distance.sokalmichener:
  - 1540
  - 1541
  - 1542
  - 1543
  - 1544
  - 1545
  - 1498
  scipy.spatial.distance.sokalsneath:
  - 1600
  - 1601
  - 1602
  - 1605
  - 1549
  - 1591
  - 1592
  - 1593
  - 1594
  - 1595
  - 1596
  - 1598
  - 1599
  scipy.spatial.distance.sqeuclidean:
  - 524
  - 560
  - 562
  - 565
  - 566
  - 569
  - 570
  - 572
  scipy.spatial.distance.squareform:
  - 2304
  - 2307
  - 2312
  - 2316
  - 2319
  - 2323
  - 2324
  - 2198
  - 2326
  - 2327
  - 2332
  - 2333
  - 2336
  - 2340
  - 2343
  - 2283
  - 2287
  - 2288
  - 2291
  - 2292
  - 2297
  - 2298
  - 2299
  scipy.spatial.distance.yule:
  - 1313
  - 1314
  - 1315
  - 1316
  - 1317
  - 1319
  - 1322
  - 1276
  scipy.spatial.kdtree.__getattr__:
  - 24
  scipy.spatial.qhull.__getattr__:
  - 23
  scipy.spatial.transform:
  - 1
  - 28
  scipy.spatial.transform._rotation_groups.create_group:
  - 128
  - 129
  - 130
  - 131
  - 132
  - 133
  - 134
  - 135
  - 136
  - 137
  - 138
  - 109
  - 113
  - 116
  - 119
  - 121
  - 125
  scipy.spatial.transform._rotation_groups.cyclic:
  - 104
  - 105
  - 103
  scipy.spatial.transform._rotation_groups.dicyclic:
  - 96
  - 97
  - 98
  - 99
  - 94
  scipy.spatial.transform._rotation_groups.icosahedral:
  - 10
  - 58
  - 6
  scipy.spatial.transform._rotation_groups.octahedral:
  - 64
  - 76
  - 62
  - 63
  scipy.spatial.transform._rotation_groups.tetrahedral:
  - 80
  - 82
  - 90
  scipy.spatial.transform._rotation_spline.RotationSpline:
  - 252
  scipy.spatial.transform._rotation_spline.RotationSpline.__call__:
  - 448
  - 449
  - 450
  - 451
  - 452
  - 457
  - 428
  - 431
  - 432
  - 436
  - 443
  - 438
  - 439
  - 440
  - 411
  - 445
  - 446
  - 447
  scipy.spatial.transform._rotation_spline.RotationSpline.__init__:
  - 384
  - 388
  - 391
  - 394
  - 398
  - 367
  - 370
  - 373
  - 374
  - 408
  - 377
  - 383
  scipy.spatial.transform._rotation_spline.RotationSpline._solve_for_angular_rates:
  - 352
  - 354
  - 356
  - 359
  - 360
  - 332
  - 334
  - 335
  - 336
  - 343
  - 344
  - 346
  - 347
  - 348
  - 351
  scipy.spatial.transform._rotation_spline._angular_acceleration_nonlinear_term:
  - 128
  - 130
  - 131
  - 132
  - 136
  - 137
  - 138
  - 108
  - 124
  - 125
  - 126
  - 127
  scipy.spatial.transform._rotation_spline._angular_rate_to_rotvec_dot_matrix:
  - 34
  - 48
  - 49
  - 53
  - 58
  - 60
  - 61
  - 63
  scipy.spatial.transform._rotation_spline._compute_angular_acceleration:
  - 188
  - 173
  - 189
  scipy.spatial.transform._rotation_spline._compute_angular_rate:
  - 168
  - 169
  - 155
  scipy.spatial.transform._rotation_spline._create_block_3_diagonal_matrix:
  - 193
  - 227
  - 231
  - 235
  - 239
  - 240
  - 241
  - 242
  - 246
  - 220
  - 221
  - 223
  scipy.spatial.transform._rotation_spline._create_skew_matrix:
  - 18
  - 7
  scipy.spatial.transform._rotation_spline._matrix_vector_product_of_stacks:
  - 29
  - 30
  scipy.spatial.transform._rotation_spline._rotvec_dot_to_angular_rate_matrix:
  - 97
  - 99
  - 100
  - 69
  - 102
  - 83
  - 84
  - 85
  - 89
  - 90
  scipy.spatial.transform.rotation.__getattr__:
  - 22
  scipy.special:
  - 832
  - 1
  scipy.special._add_newdocs:
  - 11270
  - 2058
  - 4109
  - 10256
  - 11794
  - 21
  - 8728
  - 7193
  - 9752
  - 27
  - 3611
  - 12314
  - 14362
  - 14367
  - 8226
  - 5156
  - 1062
  - 5670
  - 13352
  - 2604
  - 11309
  - 12846
  - 9264
  - 49
  - 563
  - 4661
  - 1593
  - 2105
  - 7739
  - 4156
  - 9786
  - 10809
  - 3136
  - 1091
  - 8259
  - 11336
  - 75
  - 8781
  - 11854
  - 13389
  - 13901
  - 4693
  - 12374
  - 6743
  - 14423
  - 3675
  - 9820
  - 7261
  - 12434
  - 6241
  - 610
  - 2658
  - 2152
  - 12905
  - 4202
  - 8810
  - 5740
  - 11372
  - 10862
  - 11885
  - 1648
  - 12911
  - 4724
  - 12916
  - 1143
  - 10361
  - 12922
  - 7803
  - 9855
  - 8833
  - 5257
  - 141
  - 9357
  - 2191
  - 11919
  - 14478
  - 146
  - 9362
  - 1172
  - 11411
  - 662
  - 151
  - 3736
  - 2713
  - 1690
  - 6810
  - 156
  - 9367
  - 9881
  - 7330
  - 10914
  - 5798
  - 6310
  - 7335
  - 11945
  - 8365
  - 3247
  - 2224
  - 14002
  - 9907
  - 12467
  - 8886
  - 11447
  - 7867
  - 9405
  - 4287
  - 9410
  - 10947
  - 1732
  - 709
  - 13507
  - 11976
  - 3788
  - 4812
  - 2255
  - 2770
  - 8915
  - 13015
  - 1241
  - 11485
  - 5856
  - 6882
  - 10979
  - 10468
  - 7398
  - 1770
  - 6379
  - 12010
  - 4333
  - 2286
  - 13556
  - 11511
  - 761
  - 3836
  - 5374
  - 11011
  - 261
  - 8966
  - 9477
  - 4874
  - 12043
  - 1808
  - 2833
  - 11537
  - 2323
  - 10004
  - 8472
  - 1307
  - 14108
  - 12577
  - 4386
  - 14116
  - 7463
  - 5930
  - 7979
  - 812
  - 12077
  - 3886
  - 5422
  - 10543
  - 6449
  - 13613
  - 3379
  - 13109
  - 2361
  - 4924
  - 11070
  - 11582
  - 9539
  - 1861
  - 9033
  - 6991
  - 4434
  - 5460
  - 8535
  - 11098
  - 14170
  - 348
  - 2398
  - 14175
  - 6496
  - 13155
  - 3428
  - 3940
  - 7531
  - 14188
  - 13677
  - 6003
  - 9077
  - 11126
  - 11638
  - 1912
  - 1400
  - 14201
  - 9596
  - 4479
  - 4994
  - 899
  - 2950
  - 14214
  - 2442
  - 14219
  - 10637
  - 6542
  - 14224
  - 7057
  - 10130
  - 5523
  - 3988
  - 1941
  - 406
  - 9623
  - 3480
  - 8089
  - 8602
  - 11670
  - 12696
  - 14229
  - 14234
  - 14239
  - 14244
  - 14249
  - 11179
  - 4525
  - 14254
  - 9650
  - 12210
  - 13747
  - 5045
  - 11703
  - 954
  - 7610
  - 1468
  - 6588
  - 12733
  - 3520
  - 10689
  - 13254
  - 1999
  - 4048
  - 11731
  - 7124
  - 9173
  - 8662
  - 9684
  - 9178
  - 9183
  - 5601
  - 482
  - 8162
  - 3044
  - 9188
  - 11234
  - 14313
  - 2538
  - 6122
  - 6635
  - 3565
  - 12267
  - 14318
  - 1010
  - 13811
  - 14323
  - 9718
  - 1529
  - 7674
  - 10749
  - 4607
  scipy.special._add_newdocs.get:
  - 14
  scipy.special._basic:
  - 2645
  scipy.special._basic._bessel_diff_formula:
  - 825
  - 827
  - 828
  - 830
  scipy.special._basic._factorialx_approx_core:
  - 2912
  - 2914
  - 2920
  - 2922
  - 2923
  - 2924
  - 2928
  - 2932
  - 2933
  - 2935
  - 2906
  - 2909
  - 2911
  scipy.special._basic._factorialx_approx_core.corr:
  - 2931
  scipy.special._basic._factorialx_array_approx:
  - 2890
  - 2895
  - 2897
  - 2900
  - 2901
  scipy.special._basic._factorialx_array_exact:
  - 2880
  - 2850
  - 2883
  - 2884
  - 2821
  - 2885
  - 2855
  - 2833
  - 2865
  - 2867
  - 2872
  - 2837
  - 2870
  - 2840
  - 2842
  - 2843
  - 2846
  scipy.special._basic._nonneg_int_or_fail:
  - 96
  - 98
  - 99
  - 100
  - 103
  scipy.special._basic._range_prod:
  - 2795
  - 2808
  - 2810
  - 2813
  - 2814
  scipy.special._basic.ai_zeros:
  - 2124
  - 2126
  - 2079
  scipy.special._basic.assoc_laguerre:
  - 1516
  - 1541
  scipy.special._basic.bei_zeros:
  - 2393
  - 2370
  - 2395
  scipy.special._basic.beip_zeros:
  - 2509
  - 2486
  - 2511
  scipy.special._basic.ber_zeros:
  - 2364
  - 2341
  - 2366
  scipy.special._basic.bernoulli:
  - 1920
  - 1960
  - 1962
  - 1963
  - 1967
  scipy.special._basic.berp_zeros:
  - 2480
  - 2457
  - 2482
  scipy.special._basic.bi_zeros:
  - 2177
  - 2130
  - 2175
  scipy.special._basic.clpmn:
  - 1856
  - 1859
  - 1860
  - 1840
  - 1842
  - 1844
  - 1846
  - 1848
  - 1786
  - 1851
  - 1852
  - 1853
  - 1854
  scipy.special._basic.comb:
  - 2720
  - 2723
  - 2726
  - 2728
  - 2730
  - 2731
  - 2733
  - 2734
  - 2705
  - 2706
  - 2647
  - 2714
  - 2715
  - 2716
  - 2717
  - 2719
  scipy.special._basic.diric:
  - 175
  - 176
  - 177
  - 178
  - 182
  - 186
  - 188
  - 193
  - 194
  - 197
  - 198
  - 199
  - 200
  - 202
  - 205
  - 206
  - 207
  - 208
  - 111
  scipy.special._basic.erf_zeros:
  - 1433
  - 1435
  - 1399
  scipy.special._basic.euler:
  - 2019
  - 1971
  - 2012
  - 2014
  - 2015
  scipy.special._basic.factorial:
  - 2988
  - 2990
  - 2992
  - 2993
  - 2998
  - 3000
  - 3001
  - 3002
  - 3005
  - 3006
  - 3009
  - 3010
  - 3013
  - 3014
  - 3019
  - 3024
  - 3025
  - 3026
  - 2940
  scipy.special._basic.factorial2:
  - 3072
  - 3074
  - 3077
  - 3078
  - 3079
  - 3081
  - 3082
  - 3085
  - 3087
  - 3088
  - 3089
  - 3030
  - 3065
  - 3067
  - 3069
  scipy.special._basic.factorialk:
  - 3093
  - 3153
  - 3155
  - 3162
  - 3166
  - 3171
  - 3173
  - 3175
  - 3178
  - 3180
  - 3183
  - 3184
  - 3185
  - 3187
  - 3188
  - 3191
  - 3194
  - 3195
  - 3196
  scipy.special._basic.fresnel_zeros:
  - 1512
  - 1489
  - 1510
  scipy.special._basic.fresnelc_zeros:
  - 1458
  - 1460
  - 1439
  scipy.special._basic.fresnels_zeros:
  - 1464
  - 1483
  - 1485
  scipy.special._basic.h1vp:
  - 1218
  - 1219
  - 1220
  - 1157
  - 1222
  scipy.special._basic.h2vp:
  - 1287
  - 1288
  - 1289
  - 1226
  - 1291
  scipy.special._basic.ivp:
  - 1153
  - 1076
  - 1149
  - 1150
  - 1151
  scipy.special._basic.jn_zeros:
  - 339
  - 398
  scipy.special._basic.jnjnp_zeros:
  - 248
  - 249
  - 213
  - 246
  scipy.special._basic.jnp_zeros:
  - 402
  - 461
  scipy.special._basic.jnyn_zeros:
  - 329
  - 331
  - 333
  - 335
  - 254
  scipy.special._basic.jvp:
  - 835
  - 905
  - 906
  - 907
  - 909
  scipy.special._basic.kei_zeros:
  - 2451
  - 2428
  - 2453
  scipy.special._basic.keip_zeros:
  - 2544
  - 2569
  - 2567
  scipy.special._basic.kelvin_zeros:
  - 2592
  - 2593
  - 2594
  - 2573
  - 2585
  - 2587
  - 2588
  - 2589
  - 2590
  - 2591
  scipy.special._basic.ker_zeros:
  - 2424
  - 2422
  - 2399
  scipy.special._basic.kerp_zeros:
  - 2538
  - 2515
  - 2540
  scipy.special._basic.kvp:
  - 995
  - 1068
  - 1069
  - 1070
  - 1072
  scipy.special._basic.lmbda:
  - 2212
  - 2181
  - 2214
  - 2216
  - 2218
  - 2223
  - 2224
  - 2226
  scipy.special._basic.lpmn:
  - 1761
  - 1763
  - 1765
  - 1768
  - 1769
  - 1771
  - 1772
  - 1710
  - 1775
  - 1778
  - 1779
  - 1757
  - 1759
  scipy.special._basic.lpn:
  - 2023
  - 2037
  - 2039
  - 2040
  - 2044
  - 2045
  - 2047
  scipy.special._basic.lqmn:
  - 1899
  - 1867
  - 1901
  - 1903
  - 1905
  - 1906
  - 1909
  - 1910
  - 1912
  - 1913
  - 1915
  scipy.special._basic.lqn:
  - 2052
  - 2064
  - 2066
  - 2067
  - 2071
  - 2072
  - 2074
  scipy.special._basic.mathieu_even_coef:
  - 1633
  - 1634
  - 1636
  - 1637
  - 1638
  - 1639
  - 1641
  - 1642
  - 1645
  - 1646
  - 1591
  - 1626
  - 1628
  - 1630
  scipy.special._basic.mathieu_odd_coef:
  - 1696
  - 1697
  - 1698
  - 1700
  - 1701
  - 1704
  - 1705
  - 1651
  - 1685
  - 1687
  - 1689
  - 1692
  - 1693
  - 1695
  scipy.special._basic.obl_cv_seq:
  - 2635
  - 2637
  - 2639
  - 2642
  - 2622
  scipy.special._basic.pbdn_seq:
  - 2336
  - 2305
  - 2328
  - 2330
  - 2332
  scipy.special._basic.pbdv_seq:
  - 2254
  - 2256
  - 2258
  - 2263
  - 2231
  scipy.special._basic.pbvv_seq:
  - 2291
  - 2268
  - 2293
  - 2295
  - 2300
  scipy.special._basic.perm:
  - 2785
  - 2786
  - 2788
  - 2789
  - 2739
  - 2775
  - 2776
  - 2779
  - 2783
  scipy.special._basic.polygamma:
  - 1585
  - 1586
  - 1587
  - 1548
  scipy.special._basic.pro_cv_seq:
  - 2598
  - 2611
  - 2613
  - 2615
  - 2618
  scipy.special._basic.riccati_jn:
  - 1295
  - 1335
  - 1337
  - 1338
  - 1342
  scipy.special._basic.riccati_yn:
  - 1347
  - 1387
  - 1389
  - 1390
  - 1394
  scipy.special._basic.stirling2:
  - 3200
  - 3330
  - 3331
  - 3274
  - 3276
  - 3277
  - 3279
  - 3281
  - 3285
  - 3286
  - 3287
  - 3288
  - 3290
  - 3292
  - 3293
  - 3298
  - 3299
  - 3301
  - 3304
  - 3307
  - 3309
  - 3318
  - 3326
  - 3327
  scipy.special._basic.y0_zeros:
  - 658
  - 662
  - 590
  scipy.special._basic.y1_zeros:
  - 744
  - 666
  - 740
  scipy.special._basic.y1p_zeros:
  - 817
  - 748
  - 813
  scipy.special._basic.yn_zeros:
  - 465
  - 519
  scipy.special._basic.ynp_zeros:
  - 586
  - 523
  scipy.special._basic.yvp:
  - 913
  - 987
  - 988
  - 989
  - 991
  scipy.special._basic.zeta:
  - 3336
  - 3396
  - 3397
  - 3399
  scipy.special._ellip_harm:
  - 102
  - 167
  scipy.special._ellip_harm._ellip_normal_vec:
  - 164
  scipy.special._ellip_harm.ellip_harm:
  - 8
  - 99
  scipy.special._ellip_harm.ellip_harm_2:
  - 160
  - 106
  - 159
  scipy.special._ellip_harm.ellip_normal:
  - 171
  - 213
  - 214
  scipy.special._get_include:
  - 858
  - 863
  scipy.special._lambertw.lambertw:
  - 148
  - 149
  - 7
  scipy.special._logsumexp.log_softmax:
  - 289
  - 291
  - 293
  - 294
  - 295
  - 299
  - 238
  - 302
  - 303
  - 304
  scipy.special._logsumexp.logsumexp:
  - 128
  - 130
  - 131
  - 134
  - 8
  - 96
  - 97
  - 98
  - 99
  - 105
  - 107
  - 108
  - 109
  - 112
  - 113
  - 114
  - 116
  - 119
  - 120
  - 121
  - 123
  - 124
  - 126
  - 127
  scipy.special._logsumexp.softmax:
  - 231
  - 232
  - 233
  - 234
  - 141
  scipy.special._mptestutils:
  - 346
  scipy.special._mptestutils.Arg:
  - 23
  scipy.special._mptestutils.Arg.__init__:
  - 32
  - 33
  - 34
  - 29
  - 31
  scipy.special._mptestutils.Arg._positive_values:
  - 40
  - 45
  - 52
  - 54
  - 55
  - 57
  - 58
  - 61
  - 62
  - 63
  - 64
  - 67
  - 68
  - 69
  - 72
  - 73
  - 78
  - 84
  - 85
  - 86
  - 89
  - 90
  - 91
  - 93
  scipy.special._mptestutils.Arg.values:
  - 96
  - 128
  - 98
  - 99
  - 101
  - 103
  - 106
  - 113
  - 114
  - 116
  - 118
  - 120
  - 121
  - 124
  - 126
  scipy.special._mptestutils.ComplexArg.__init__:
  - 144
  - 143
  scipy.special._mptestutils.ComplexArg.values:
  - 147
  - 148
  - 149
  - 150
  scipy.special._mptestutils.FixedArg.__init__:
  - 135
  scipy.special._mptestutils.IntArg.values:
  - 160
  - 161
  - 159
  scipy.special._mptestutils.MpmathData.__init__:
  - 193
  - 209
  - 210
  - 212
  - 213
  - 217
  - 218
  - 219
  - 220
  - 191
  scipy.special._mptestutils.MpmathData.__repr__:
  - 287
  scipy.special._mptestutils.MpmathData.check:
  - 225
  - 259
  - 228
  - 263
  - 233
  - 265
  - 237
  - 243
  - 277
  - 279
  - 280
  scipy.special._mptestutils.MpmathData.check.<lambda1>:
  - 265
  scipy.special._mptestutils.MpmathData.check.mptype:
  - 250
  - 247
  scipy.special._mptestutils.MpmathData.check.pytype:
  - 256
  - 253
  scipy.special._mptestutils.assert_mpmath_equal:
  - 294
  - 295
  scipy.special._mptestutils.exception_to_nan:
  - 408
  scipy.special._mptestutils.exception_to_nan.wrap:
  - 411
  scipy.special._mptestutils.get_args:
  - 167
  - 168
  - 170
  - 171
  - 172
  - 174
  - 176
  - 177
  scipy.special._mptestutils.inf_to_nan:
  - 418
  scipy.special._mptestutils.inf_to_nan.wrap:
  - 420
  - 421
  scipy.special._mptestutils.mp_assert_allclose:
  - 450
  - 451
  - 452
  - 453
  - 428
  - 433
  - 434
  - 436
  - 437
  - 439
  - 440
  - 441
  - 443
  - 444
  - 445
  - 446
  - 447
  scipy.special._mptestutils.mpc2complex:
  - 321
  scipy.special._mptestutils.mpf2float:
  - 317
  - 309
  scipy.special._mptestutils.nonfunctional_tooslow:
  - 299
  scipy.special._mptestutils.time_limited:
  - 370
  - 356
  scipy.special._mptestutils.time_limited.deco.wrap:
  - 384
  - 389
  - 395
  - 397
  - 399
  - 402
  - 376
  - 377
  - 379
  - 383
  scipy.special._mptestutils.time_limited.deco.wrap.trace:
  - 392
  scipy.special._mptestutils.trace_args.tofloat:
  - 329
  - 326
  - 327
  scipy.special._mptestutils.trace_args.wrap:
  - 332
  - 333
  - 335
  - 336
  - 338
  - 339
  scipy.special._orthogonal:
  - 1
  - 2602
  - 2603
  - 2605
  - 112
  scipy.special._orthogonal._compute_tauk:
  - 936
  - 929
  - 935
  - 903
  scipy.special._orthogonal._compute_tauk.df:
  - 933
  scipy.special._orthogonal._compute_tauk.f:
  - 931
  scipy.special._orthogonal._gen_roots_and_weights:
  - 192
  - 161
  - 195
  - 199
  - 201
  - 175
  - 176
  - 177
  - 178
  - 179
  - 182
  - 183
  - 188
  - 189
  - 190
  - 191
  scipy.special._orthogonal._initial_nodes:
  - 1041
  - 1043
  - 1045
  - 1046
  - 1048
  - 1017
  - 1050
  - 1051
  scipy.special._orthogonal._initial_nodes_a:
  - 969
  - 941
  - 966
  - 967
  scipy.special._orthogonal._initial_nodes_b:
  - 976
  - 1002
  - 1004
  scipy.special._orthogonal._newton:
  - 1218
  - 1202
  - 1204
  - 1206
  - 1207
  - 1176
  - 1210
  - 1213
  - 1208
  - 1215
  scipy.special._orthogonal._pbcf:
  - 1056
  - 1089
  - 1090
  - 1157
  - 1138
  - 1140
  - 1143
  - 1116
  scipy.special._orthogonal._roots_hermite_asy:
  - 1223
  - 1265
  - 1266
  - 1268
  - 1269
  - 1270
  - 1272
  - 1273
  - 1275
  scipy.special._orthogonal.chebyc:
  - 2048
  - 2049
  - 2051
  - 2052
  - 2053
  - 2003
  - 2036
  - 2039
  - 2043
  - 2044
  scipy.special._orthogonal.chebyc.<lambda1>:
  - 2049
  scipy.special._orthogonal.chebyc.<lambda2>:
  - 2053
  scipy.special._orthogonal.chebys:
  - 2145
  - 2149
  - 2150
  - 2154
  - 2155
  - 2157
  - 2158
  - 2159
  - 2160
  - 2109
  - 2142
  scipy.special._orthogonal.chebys.<lambda1>:
  - 2155
  scipy.special._orthogonal.chebys.<lambda2>:
  - 2160
  scipy.special._orthogonal.chebyt:
  - 1792
  - 1795
  - 1796
  - 1694
  - 1783
  - 1788
  - 1789
  - 1790
  scipy.special._orthogonal.chebyt.<lambda1>:
  - 1790
  scipy.special._orthogonal.chebyt.<lambda2>:
  - 1796
  scipy.special._orthogonal.chebyt.wfunc:
  - 1787
  scipy.special._orthogonal.chebyu:
  - 1943
  - 1944
  - 1946
  - 1947
  - 1855
  scipy.special._orthogonal.gegenbauer:
  - 1632
  - 1633
  - 1626
  - 1562
  - 1627
  - 1630
  - 1631
  scipy.special._orthogonal.gegenbauer.<lambda1>:
  - 1633
  scipy.special._orthogonal.genlaguerre:
  - 576
  - 672
  - 673
  - 656
  - 658
  - 661
  - 665
  - 668
  - 670
  - 671
  scipy.special._orthogonal.genlaguerre.<lambda1>:
  - 673
  scipy.special._orthogonal.genlaguerre.wfunc:
  - 667
  scipy.special._orthogonal.hermite:
  - 1280
  - 1328
  - 1331
  - 1335
  - 1338
  - 1340
  - 1342
  - 1343
  scipy.special._orthogonal.hermite.<lambda1>:
  - 1343
  scipy.special._orthogonal.hermite.wfunc:
  - 1337
  scipy.special._orthogonal.hermitenorm:
  - 1472
  - 1457
  - 1427
  - 1460
  - 1464
  - 1467
  - 1469
  - 1471
  scipy.special._orthogonal.hermitenorm.<lambda1>:
  - 1472
  scipy.special._orthogonal.hermitenorm.wfunc:
  - 1466
  scipy.special._orthogonal.jacobi:
  - 385
  - 386
  - 297
  - 371
  - 376
  - 377
  - 379
  - 381
  - 382
  - 383
  scipy.special._orthogonal.jacobi.<lambda1>:
  - 386
  scipy.special._orthogonal.laguerre:
  - 801
  - 805
  - 806
  - 809
  - 810
  - 811
  - 722
  - 798
  scipy.special._orthogonal.laguerre.<lambda1>:
  - 810
  scipy.special._orthogonal.laguerre.<lambda2>:
  - 811
  scipy.special._orthogonal.legendre:
  - 2496
  - 2500
  - 2501
  - 2504
  - 2505
  - 2507
  - 2456
  - 2493
  scipy.special._orthogonal.legendre.<lambda2>:
  - 2507
  scipy.special._orthogonal.orthopoly1d.__call__:
  - 144
  - 145
  - 147
  scipy.special._orthogonal.orthopoly1d.__init__:
  - 128
  - 132
  - 133
  - 135
  - 119
  - 120
  - 121
  - 122
  - 124
  scipy.special._orthogonal.orthopoly1d.__init__.eval_func:
  - 127
  scipy.special._orthogonal.orthopoly1d._scale:
  - 155
  - 156
  - 150
  scipy.special._orthogonal.orthopoly1d._scale.<lambda1>:
  - 156
  scipy.special._orthogonal.roots_chebyc:
  - 1992
  - 1954
  - 1996
  scipy.special._orthogonal.roots_chebys:
  - 2098
  - 2060
  - 2102
  scipy.special._orthogonal.roots_chebyt:
  - 1643
  - 1682
  - 1683
  - 1685
  - 1686
  - 1687
  scipy.special._orthogonal.roots_chebyu:
  - 1804
  - 1842
  - 1843
  - 1845
  - 1846
  - 1847
  - 1848
  scipy.special._orthogonal.roots_gegenbauer:
  - 1541
  - 1544
  - 1481
  - 1546
  - 1521
  - 1522
  - 1524
  - 1526
  - 1558
  - 1531
  - 1533
  - 1534
  - 1535
  scipy.special._orthogonal.roots_gegenbauer.bn_func:
  - 1550
  scipy.special._orthogonal.roots_gegenbauer.df:
  - 1555
  - 1556
  scipy.special._orthogonal.roots_gegenbauer.f:
  - 1552
  scipy.special._orthogonal.roots_genlaguerre:
  - 547
  - 548
  - 550
  - 553
  - 555
  - 556
  - 557
  - 558
  - 507
  - 572
  scipy.special._orthogonal.roots_genlaguerre.bn_func:
  - 566
  scipy.special._orthogonal.roots_genlaguerre.df:
  - 570
  - 571
  scipy.special._orthogonal.roots_genlaguerre.f:
  - 568
  scipy.special._orthogonal.roots_hermite:
  - 896
  - 880
  - 881
  - 818
  - 884
  - 885
  - 893
  - 895
  scipy.special._orthogonal.roots_hermite.bn_func:
  - 889
  scipy.special._orthogonal.roots_hermite.df:
  - 892
  scipy.special._orthogonal.roots_hermitenorm:
  - 1350
  - 1414
  - 1416
  - 1418
  - 1419
  - 1420
  - 1401
  - 1402
  - 1405
  - 1406
  scipy.special._orthogonal.roots_hermitenorm.bn_func:
  - 1410
  scipy.special._orthogonal.roots_hermitenorm.df:
  - 1413
  scipy.special._orthogonal.roots_jacobi:
  - 258
  - 259
  - 260
  - 261
  - 293
  - 263
  - 264
  - 267
  - 268
  - 271
  - 210
  - 252
  - 253
  - 255
  scipy.special._orthogonal.roots_jacobi.an_func:
  - 273
  - 276
  scipy.special._orthogonal.roots_jacobi.bn_func:
  - 285
  - 286
  scipy.special._orthogonal.roots_jacobi.df:
  - 292
  scipy.special._orthogonal.roots_jacobi.f:
  - 290
  scipy.special._orthogonal.roots_laguerre:
  - 680
  - 718
  scipy.special._orthogonal.roots_legendre:
  - 2440
  - 2331
  - 2452
  - 2439
  scipy.special._orthogonal.roots_legendre.bn_func:
  - 2447
  scipy.special._orthogonal.roots_legendre.df:
  - 2450
  - 2451
  scipy.special._orthogonal.roots_sh_chebyt:
  - 2205
  - 2167
  scipy.special._orthogonal.roots_sh_chebyu:
  - 2289
  - 2287
  - 2285
  - 2247
  scipy.special._orthogonal.roots_sh_jacobi:
  - 393
  - 435
  - 443
  - 438
  scipy.special._orthogonal.roots_sh_legendre:
  - 2514
  - 2554
  - 2551
  scipy.special._orthogonal.sh_chebyt:
  - 2241
  - 2210
  - 2234
  - 2235
  - 2237
  scipy.special._orthogonal.sh_chebyu:
  - 2296
  - 2320
  - 2324
  - 2321
  scipy.special._orthogonal.sh_jacobi:
  - 450
  - 485
  - 490
  - 491
  - 494
  - 495
  - 496
  - 499
  - 500
  scipy.special._orthogonal.sh_jacobi.<lambda1>:
  - 500
  scipy.special._orthogonal.sh_legendre:
  - 2592
  - 2561
  - 2593
  - 2595
  - 2596
  - 2597
  - 2585
  - 2590
  - 2591
  scipy.special._orthogonal.sh_legendre.<lambda1>:
  - 2592
  scipy.special._orthogonal.sh_legendre.<lambda2>:
  - 2597
  scipy.special._precompute.cosine_cdf:
  - 11
  - 12
  - 14
  - 15
  - 16
  - 17
  scipy.special._precompute.cosine_cdf.f:
  - 5
  scipy.special._precompute.expn_asy:
  - 1
  - 53
  - 54
  - 15
  scipy.special._precompute.expn_asy.generate_A:
  - 21
  - 22
  - 23
  scipy.special._precompute.expn_asy.main:
  - 35
  - 36
  - 39
  - 40
  - 41
  - 42
  - 43
  - 44
  - 45
  - 46
  - 47
  - 48
  - 49
  - 50
  scipy.special._precompute.gammainc_asy:
  - 1
  - 115
  - 116
  scipy.special._precompute.gammainc_asy.compute_a:
  - 21
  - 22
  - 23
  - 25
  - 27
  - 28
  scipy.special._precompute.gammainc_asy.compute_alpha:
  - 50
  - 51
  - 52
  scipy.special._precompute.gammainc_asy.compute_d:
  - 64
  - 66
  - 67
  - 68
  - 69
  - 56
  - 58
  - 59
  - 60
  - 61
  - 63
  scipy.special._precompute.gammainc_asy.compute_g:
  - 33
  - 34
  - 35
  scipy.special._precompute.gammainc_asy.eta:
  - 40
  - 41
  - 42
  - 43
  - 44
  scipy.special._precompute.gammainc_asy.main:
  - 98
  - 99
  - 100
  - 101
  - 102
  - 103
  - 104
  - 105
  - 106
  - 107
  - 108
  - 110
  - 111
  - 112
  - 95
  scipy.special._precompute.gammainc_data:
  - 1
  - 123
  - 124
  scipy.special._precompute.gammainc_data.gammainc:
  - 34
  - 42
  - 43
  - 45
  - 51
  - 52
  scipy.special._precompute.gammainc_data.gammainc.h:
  - 48
  scipy.special._precompute.gammainc_data.gammaincc:
  - 64
  - 67
  - 70
  - 73
  - 80
  - 86
  - 56
  scipy.special._precompute.gammainc_data.gammaincc.h:
  - 84
  - 79
  scipy.special._precompute.gammainc_data.main:
  - 96
  - 97
  - 98
  - 99
  - 100
  - 103
  - 104
  - 105
  - 106
  - 108
  - 109
  - 113
  - 114
  - 115
  - 116
  - 118
  - 120
  - 90
  scipy.special._precompute.lambertw:
  - 1
  - 67
  - 68
  scipy.special._precompute.lambertw.lambertw_pade:
  - 16
  - 17
  scipy.special._precompute.lambertw.main:
  - 22
  - 23
  - 24
  - 26
  - 27
  - 29
  - 30
  - 33
  - 34
  - 35
  - 37
  - 39
  - 40
  - 41
  - 42
  - 43
  - 45
  - 46
  - 47
  - 50
  - 52
  - 53
  - 55
  - 56
  - 58
  - 60
  - 61
  - 62
  - 63
  - 64
  scipy.special._precompute.loggamma:
  - 1
  - 42
  - 43
  scipy.special._precompute.loggamma.main:
  - 32
  - 33
  - 34
  - 35
  - 36
  - 37
  - 38
  - 39
  - 26
  - 27
  - 28
  - 29
  - 30
  - 31
  scipy.special._precompute.loggamma.stirling_series:
  - 10
  - 11
  - 12
  scipy.special._precompute.loggamma.taylor_series_at_1:
  - 18
  - 19
  - 20
  - 21
  scipy.special._precompute.struve_convergence:
  - 1
  - 130
  - 131
  scipy.special._precompute.struve_convergence.do_plot:
  - 51
  - 52
  - 54
  - 55
  - 56
  - 59
  - 65
  - 67
  - 68
  - 69
  - 71
  - 72
  - 73
  - 75
  - 79
  - 81
  - 82
  - 84
  - 86
  - 89
  - 91
  - 93
  - 96
  - 98
  - 100
  - 103
  - 104
  - 105
  - 107
  - 109
  - 110
  - 112
  - 113
  scipy.special._precompute.struve_convergence.do_plot.sh:
  - 64
  - 61
  scipy.special._precompute.struve_convergence.err_metric:
  - 41
  - 42
  scipy.special._precompute.struve_convergence.main:
  - 117
  - 118
  - 119
  - 120
  - 122
  - 123
  - 124
  - 126
  - 127
  scipy.special._precompute.utils.lagrange_inversion:
  - 32
  - 33
  - 34
  - 35
  - 36
  - 37
  - 13
  - 28
  - 29
  - 30
  scipy.special._precompute.wright_bessel:
  - 1
  - 341
  - 342
  scipy.special._precompute.wright_bessel.asymptotic_series:
  - 160
  - 226
  - 227
  - 228
  - 229
  - 230
  - 231
  - 233
  - 235
  - 236
  - 237
  - 238
  - 239
  - 240
  - 243
  - 244
  - 215
  - 216
  scipy.special._precompute.wright_bessel.asymptotic_series.coef_C:
  - 194
  scipy.special._precompute.wright_bessel.asymptotic_series.coef_C.eval:
  - 204
  - 207
  - 208
  - 209
  - 210
  - 211
  scipy.special._precompute.wright_bessel.asymptotic_series.g:
  - 174
  scipy.special._precompute.wright_bessel.asymptotic_series.g.eval:
  - 184
  - 186
  - 189
  - 190
  - 191
  scipy.special._precompute.wright_bessel.dg_series:
  - 56
  - 60
  - 62
  scipy.special._precompute.wright_bessel.main:
  - 320
  - 322
  - 330
  - 332
  - 333
  - 334
  - 335
  - 337
  - 338
  - 319
  scipy.special._precompute.wright_bessel.main.<lambda1>:
  - 337
  - 332
  scipy.special._precompute.wright_bessel.main.<lambda2>:
  - 333
  scipy.special._precompute.wright_bessel.main.<lambda3>:
  - 334
  scipy.special._precompute.wright_bessel.main.<lambda4>:
  - 335
  scipy.special._precompute.wright_bessel.optimal_epsilon_integral:
  - 290
  - 281
  - 307
  - 279
  - 280
  - 249
  - 314
  - 283
  - 284
  - 285
  scipy.special._precompute.wright_bessel.optimal_epsilon_integral.<lambda1>:
  - 285
  scipy.special._precompute.wright_bessel.optimal_epsilon_integral.arclength:
  - 266
  - 271
  scipy.special._precompute.wright_bessel.optimal_epsilon_integral.arclength.<lambda1>:
  - 271
  scipy.special._precompute.wright_bessel.optimal_epsilon_integral.fp:
  - 261
  - 262
  - 263
  scipy.special._precompute.wright_bessel.optimal_epsilon_integral.func:
  - 304
  - 305
  - 299
  - 303
  scipy.special._precompute.wright_bessel.pg_series:
  - 66
  - 67
  scipy.special._precompute.wright_bessel.series_small_a:
  - 34
  - 35
  - 37
  - 38
  - 42
  - 43
  - 44
  - 48
  - 49
  - 50
  - 22
  - 25
  - 30
  - 31
  scipy.special._precompute.wright_bessel.series_small_a_small_b:
  - 133
  - 134
  - 136
  - 138
  - 140
  - 142
  - 149
  - 150
  - 151
  - 153
  - 154
  - 155
  - 71
  - 82
  - 83
  - 84
  - 93
  - 94
  - 97
  - 98
  - 100
  - 101
  - 105
  - 106
  - 108
  - 109
  - 110
  - 112
  - 116
  - 117
  - 118
  - 121
  - 122
  - 123
  - 124
  scipy.special._precompute.wright_bessel.series_small_a_small_b.<lambda2>:
  - 109
  scipy.special._precompute.wright_bessel_data:
  - 24
  - 1
  - 152
  - 151
  scipy.special._precompute.wright_bessel_data.main:
  - 128
  - 134
  - 136
  - 137
  - 138
  - 141
  - 142
  - 144
  - 146
  - 148
  - 44
  - 45
  - 46
  - 47
  - 49
  - 55
  - 56
  - 64
  - 66
  - 67
  - 68
  - 96
  - 114
  - 115
  - 116
  - 126
  - 127
  scipy.special._precompute.wright_bessel_data.mp_wright_bessel:
  - 33
  - 34
  - 35
  - 40
  - 31
  scipy.special._precompute.wright_bessel_data.mp_wright_bessel.<lambda1>:
  - 35
  - 36
  scipy.special._precompute.wright_bessel_data.rgamma_cached:
  - 26
  - 27
  scipy.special._precompute.wrightomega:
  - 40
  - 41
  scipy.special._precompute.wrightomega.main:
  - 33
  - 34
  - 35
  - 36
  - 37
  - 26
  - 27
  - 28
  - 29
  - 30
  - 31
  scipy.special._precompute.wrightomega.mpmath_wrightomega:
  - 10
  scipy.special._precompute.wrightomega.wrightomega_exp_error:
  - 20
  - 21
  - 22
  scipy.special._precompute.wrightomega.wrightomega_series_error:
  - 16
  - 15
  scipy.special._precompute.zetac:
  - 1
  - 26
  - 27
  scipy.special._precompute.zetac.main:
  - 19
  - 20
  - 21
  - 23
  scipy.special._precompute.zetac.zetac_series:
  - 10
  - 11
  - 12
  - 13
  - 14
  scipy.special._sf_error:
  - 1
  - 10
  scipy.special._sf_error.SpecialFunctionError:
  - 14
  scipy.special._sf_error.SpecialFunctionWarning:
  - 6
  scipy.special._spfun_stats:
  - 32
  scipy.special._spfun_stats.multigammaln:
  - 98
  - 99
  - 101
  - 104
  - 105
  - 43
  scipy.special._spherical_bessel.spherical_in:
  - 263
  - 264
  - 265
  - 267
  - 184
  scipy.special._spherical_bessel.spherical_jn:
  - 7
  - 88
  - 89
  - 90
  - 92
  scipy.special._spherical_bessel.spherical_kn:
  - 352
  - 354
  - 271
  - 350
  - 351
  scipy.special._spherical_bessel.spherical_yn:
  - 96
  - 176
  - 177
  - 178
  - 180
  scipy.special._support_alternative_backends:
  - 70
  - 71
  - 72
  - 75
  - 14
  scipy.special._support_alternative_backends.get_array_special_func:
  - 19
  - 20
  - 21
  - 22
  - 23
  - 25
  - 26
  - 27
  - 29
  scipy.special._support_alternative_backends.get_array_special_func.f:
  - 33
  - 34
  - 35
  scipy.special._support_alternative_backends.support_alternative_backends:
  - 42
  - 44
  scipy.special._support_alternative_backends.support_alternative_backends.wrapped:
  - 48
  - 46
  - 47
  scipy.special._testutils.FuncData:
  - 89
  scipy.special._testutils.FuncData.__init__:
  - 161
  - 136
  - 138
  - 139
  - 140
  - 142
  - 143
  - 146
  - 153
  scipy.special._testutils.FuncData.__repr__:
  - 312
  - 313
  - 317
  - 318
  - 319
  scipy.special._testutils.FuncData.check:
  - 256
  - 257
  - 258
  - 259
  - 261
  - 262
  - 263
  - 264
  - 265
  - 267
  - 268
  - 279
  - 282
  - 284
  - 286
  - 287
  - 290
  - 292
  - 295
  - 296
  - 297
  - 299
  - 300
  - 301
  - 176
  - 177
  - 304
  - 305
  - 306
  - 181
  - 182
  - 307
  - 184
  - 308
  - 309
  - 187
  - 190
  - 192
  - 195
  - 196
  - 197
  - 198
  - 199
  - 204
  - 205
  - 206
  - 207
  - 208
  - 209
  - 211
  - 230
  - 233
  - 235
  - 239
  - 241
  - 242
  - 245
  - 247
  - 248
  - 249
  - 250
  - 251
  - 252
  - 254
  - 255
  scipy.special._testutils.FuncData.check.eval_func_at_params:
  - 224
  - 225
  - 215
  - 216
  - 219
  - 220
  - 221
  - 223
  scipy.special._testutils.FuncData.check.fmt:
  - 303
  scipy.special._testutils.FuncData.get_tolerances:
  - 165
  - 166
  - 167
  - 169
  - 171
  scipy.special._testutils.assert_func_equal:
  - 64
  - 68
  - 76
  - 79
  - 85
  - 59
  - 61
  - 63
  scipy.special._testutils.check_version:
  - 25
  - 26
  - 27
  - 28
  scipy.special._testutils.with_special_errors:
  - 42
  - 38
  scipy.special._testutils.with_special_errors.wrapper:
  - 44
  - 45
  scipy.special.add_newdocs.__getattr__:
  - 13
  scipy.special.basic.__getattr__:
  - 85
  scipy.special.btdtr:
  - 840
  - 842
  scipy.special.btdtri:
  - 849
  - 851
  scipy.special.orthogonal:
  - 31
  scipy.special.orthogonal.__getattr__:
  - 45
  scipy.special.sf_error.__getattr__:
  - 18
  scipy.special.specfun.__getattr__:
  - 41
  scipy.special.spfun_stats.__getattr__:
  - 15
  scipy.stats:
  - 1
  - 641
  - 638
  scipy.stats._axis_nan_policy:
  - 292
  - 296
  - 297
  - 301
  - 273
  - 284
  - 285
  - 254
  scipy.stats._axis_nan_policy._add_reduced_axes:
  - 243
  - 247
  scipy.stats._axis_nan_policy._axis_nan_policy_factory:
  - 376
  - 314
  - 380
  - 374
  scipy.stats._axis_nan_policy._axis_nan_policy_factory.axis_nan_policy_decorator:
  - 390
  - 607
  - 608
  - 610
  - 611
  - 614
  - 615
  - 616
  - 619
  - 620
  - 621
  - 624
  - 626
  - 627
  - 629
  - 631
  - 632
  - 633
  - 634
  - 635
  - 636
  - 637
  - 638
  scipy.stats._axis_nan_policy._axis_nan_policy_factory.axis_nan_policy_decorator.axis_nan_policy_wrapper:
  - 512
  - 514
  - 515
  - 516
  - 519
  - 521
  - 529
  - 530
  - 531
  - 532
  - 533
  - 534
  - 540
  - 542
  - 544
  - 546
  - 547
  - 548
  - 552
  - 553
  - 554
  - 557
  - 558
  - 562
  - 563
  - 564
  - 565
  - 566
  - 569
  - 580
  - 602
  - 603
  - 604
  - 605
  - 393
  - 394
  - 407
  - 408
  - 411
  - 414
  - 415
  - 416
  - 417
  - 420
  - 421
  - 422
  - 423
  - 426
  - 429
  - 434
  - 436
  - 440
  - 441
  - 446
  - 447
  - 448
  - 458
  - 462
  - 465
  - 466
  - 467
  - 471
  - 475
  - 476
  - 479
  - 480
  - 481
  - 483
  - 484
  - 485
  - 487
  - 493
  - 495
  - 496
  - 498
  - 501
  - 502
  - 504
  - 505
  - 509
  scipy.stats._axis_nan_policy._axis_nan_policy_factory.axis_nan_policy_decorator.axis_nan_policy_wrapper.hypotest_fun:
  - 571
  - 572
  - 573
  - 574
  - 575
  - 576
  - 577
  - 583
  - 584
  - 586
  - 587
  - 588
  - 589
  - 590
  - 591
  - 595
  - 596
  - 597
  - 598
  - 599
  - 600
  scipy.stats._axis_nan_policy._axis_nan_policy_factory.axis_nan_policy_decorator.axis_nan_policy_wrapper.hypotest_fun_out:
  - 452
  - 453
  - 454
  scipy.stats._axis_nan_policy._axis_nan_policy_factory.is_too_small:
  - 382
  - 383
  scipy.stats._axis_nan_policy._broadcast_array_shapes:
  - 26
  - 29
  - 30
  scipy.stats._axis_nan_policy._broadcast_array_shapes_remove_axis:
  - 114
  - 94
  scipy.stats._axis_nan_policy._broadcast_arrays:
  - 15
  - 18
  - 19
  - 20
  - 21
  - 22
  scipy.stats._axis_nan_policy._broadcast_concatenate:
  - 132
  - 133
  - 134
  scipy.stats._axis_nan_policy._broadcast_shapes:
  - 34
  - 37
  - 41
  - 42
  - 43
  - 44
  - 50
  - 51
  - 52
  - 53
  - 56
  - 58
  - 59
  - 64
  - 68
  - 73
  - 75
  - 80
  - 83
  - 85
  - 86
  - 90
  scipy.stats._axis_nan_policy._broadcast_shapes_remove_axis:
  - 128
  - 118
  - 124
  - 126
  - 127
  scipy.stats._axis_nan_policy._check_empty_inputs:
  - 233
  - 229
  - 237
  - 238
  scipy.stats._axis_nan_policy._get_axis_params:
  - 264
  - 263
  scipy.stats._axis_nan_policy._masked_arrays_2_sentinel_arrays:
  - 178
  - 179
  - 180
  - 181
  - 186
  - 187
  - 188
  - 192
  - 194
  - 196
  - 197
  - 202
  - 203
  - 204
  - 216
  - 217
  - 218
  - 219
  - 220
  - 221
  - 223
  scipy.stats._axis_nan_policy._remove_nans:
  - 140
  - 142
  - 143
  - 147
  - 148
  - 149
  scipy.stats._axis_nan_policy._remove_sentinel:
  - 160
  - 155
  - 166
  scipy.stats._binned_statistic:
  - 360
  - 12
  - 190
  scipy.stats._binned_statistic._bin_edges:
  - 714
  - 718
  - 724
  - 725
  - 726
  - 728
  - 731
  - 732
  - 733
  - 734
  - 741
  - 742
  - 747
  - 751
  - 752
  - 754
  - 757
  - 758
  - 759
  - 761
  scipy.stats._binned_statistic._bin_numbers:
  - 772
  - 773
  - 779
  - 781
  - 782
  - 784
  - 786
  - 787
  - 788
  - 793
  - 767
  scipy.stats._binned_statistic._bincount:
  - 368
  - 372
  - 366
  - 367
  scipy.stats._binned_statistic._calc_binned_statistic:
  - 689
  - 690
  - 691
  - 693
  - 694
  - 695
  scipy.stats._binned_statistic._create_binned_data:
  - 705
  - 706
  - 708
  - 709
  - 701
  scipy.stats._binned_statistic.binned_statistic:
  - 173
  - 177
  - 178
  - 18
  - 180
  - 181
  - 184
  - 187
  scipy.stats._binned_statistic.binned_statistic_2d:
  - 353
  - 197
  - 357
  - 345
  - 349
  - 350
  scipy.stats._binned_statistic.binned_statistic_dd:
  - 640
  - 641
  - 643
  - 644
  - 645
  - 646
  - 648
  - 649
  - 650
  - 652
  - 655
  - 656
  - 657
  - 659
  - 663
  - 664
  - 537
  - 541
  - 669
  - 672
  - 548
  - 676
  - 677
  - 679
  - 683
  - 685
  - 559
  - 563
  - 564
  - 566
  - 570
  - 575
  - 576
  - 582
  - 583
  - 584
  - 587
  - 589
  - 593
  - 594
  - 596
  - 597
  - 598
  - 599
  - 600
  - 601
  - 603
  - 604
  - 605
  - 606
  - 607
  - 608
  - 610
  - 611
  - 614
  - 615
  - 616
  - 617
  - 618
  - 619
  - 635
  - 621
  - 622
  - 623
  - 624
  - 625
  - 627
  - 628
  - 629
  - 630
  - 631
  - 634
  - 379
  - 638
  - 639
  scipy.stats._binomtest.BinomTestResult:
  - 11
  scipy.stats._binomtest.BinomTestResult.proportion_ci:
  - 98
  - 101
  - 104
  - 105
  - 110
  - 50
  - 114
  scipy.stats._binomtest._binary_search_for_binom_tst:
  - 365
  - 366
  - 368
  - 337
  - 372
  scipy.stats._binomtest._binom_exact_conf_int:
  - 130
  - 135
  - 137
  - 140
  - 141
  - 144
  - 145
  - 148
  - 151
  - 152
  - 154
  - 157
  scipy.stats._binomtest._binom_exact_conf_int.<lambda1>:
  - 140
  scipy.stats._binomtest._binom_exact_conf_int.<lambda2>:
  - 144
  scipy.stats._binomtest._binom_exact_conf_int.<lambda3>:
  - 151
  scipy.stats._binomtest._binom_exact_conf_int.<lambda4>:
  - 157
  scipy.stats._binomtest._binom_wilson_conf_int:
  - 194
  - 167
  - 168
  - 170
  - 177
  - 178
  - 181
  - 183
  - 186
  - 189
  - 190
  scipy.stats._binomtest._findp:
  - 119
  scipy.stats._binomtest.binomtest:
  - 287
  - 288
  - 289
  - 292
  - 295
  - 298
  - 299
  - 300
  - 301
  - 304
  - 306
  - 309
  - 310
  - 311
  - 317
  - 318
  - 320
  - 321
  - 327
  - 329
  - 203
  - 331
  scipy.stats._binomtest.binomtest.<lambda1>:
  - 310
  scipy.stats._binomtest.binomtest.<lambda2>:
  - 320
  scipy.stats._bws_test._bws_input_validation:
  - 7
  - 8
  - 9
  - 11
  - 13
  - 16
  - 17
  - 20
  - 21
  - 24
  - 25
  scipy.stats._bws_test._bws_statistic:
  - 33
  - 37
  - 39
  - 44
  - 48
  - 49
  - 54
  - 55
  scipy.stats._bws_test.bws_test:
  - 168
  - 170
  - 173
  - 175
  - 63
  scipy.stats._censored_data.CensoredData:
  - 61
  scipy.stats._censored_data.CensoredData.__init__:
  - 230
  - 232
  - 234
  - 236
  - 237
  - 239
  - 240
  - 241
  - 242
  - 244
  - 245
  - 246
  scipy.stats._censored_data.CensoredData.__len__:
  - 291
  - 294
  - 295
  scipy.stats._censored_data.CensoredData.__repr__:
  - 256
  - 253
  - 254
  - 255
  scipy.stats._censored_data.CensoredData.__str__:
  - 261
  - 262
  - 263
  - 264
  - 267
  - 268
  - 269
  - 270
  - 271
  - 272
  - 273
  scipy.stats._censored_data.CensoredData.__sub__:
  - 279
  scipy.stats._censored_data.CensoredData.__truediv__:
  - 285
  scipy.stats._censored_data.CensoredData._supported:
  - 458
  - 446
  scipy.stats._censored_data.CensoredData._uncensor:
  - 433
  - 442
  - 441
  scipy.stats._censored_data.CensoredData.interval_censored:
  - 387
  - 423
  - 424
  - 425
  - 427
  - 428
  - 429
  scipy.stats._censored_data.CensoredData.left_censored:
  - 346
  - 382
  - 383
  scipy.stats._censored_data.CensoredData.num_censored:
  - 298
  - 301
  scipy.stats._censored_data.CensoredData.right_censored:
  - 305
  - 341
  - 342
  scipy.stats._censored_data._validate_1d:
  - 9
  - 5
  - 7
  scipy.stats._censored_data._validate_interval:
  - 34
  - 35
  - 36
  - 14
  - 15
  - 17
  - 18
  - 24
  - 26
  - 29
  scipy.stats._censored_data._validate_x_censored:
  - 47
  - 48
  - 50
  - 51
  - 53
  - 55
  - 57
  scipy.stats._common:
  - 4
  scipy.stats._constants:
  - 1
  - 9
  - 12
  - 16
  - 20
  - 24
  scipy.stats._continuous_distns:
  - 8198
  - 10760
  - 7177
  - 3083
  - 7694
  - 4624
  - 5654
  - 1048
  - 545
  - 6690
  - 4131
  - 2085
  - 10284
  - 1585
  - 5180
  - 6204
  - 2622
  - 3654
  - 10826
  - 8782
  - 593
  - 11353
  - 2141
  - 5729
  - 7778
  - 6758
  - 7272
  - 4713
  - 1643
  - 11888
  - 4210
  - 11892
  - 11893
  - 3707
  - 9368
  - 1180
  - 162
  - 3235
  - 10916
  - 6823
  - 2732
  - 2221
  - 6321
  - 9911
  - 8889
  - 8890
  - 1723
  - 5828
  - 4303
  - 7375
  - 5330
  - 2272
  - 229
  - 10983
  - 10480
  - 1267
  - 2806
  - 4860
  - 8956
  - 7939
  - 9477
  - 1798
  - 9480
  - 9481
  - 6420
  - 5400
  - 8479
  - 288
  - 296
  - 297
  - 9012
  - 7478
  - 7999
  - 1352
  - 2893
  - 4430
  - 2385
  - 9558
  - 8537
  - 5981
  - 3942
  - 879
  - 9075
  - 1910
  - 5499
  - 1408
  - 11138
  - 8594
  - 7573
  - 9624
  - 3993
  - 2458
  - 4516
  - 3496
  - 5558
  - 7097
  - 442
  - 9145
  - 6085
  - 1991
  - 3016
  - 10695
  - 10696
  - 8658
  - 1493
  - 4565
  - 11738
  - 990
  - 3554
  - 6628
  - 499
  - 10231
  scipy.stats._continuous_distns.FitDataError:
  - 597
  scipy.stats._continuous_distns.FitSolverError:
  - 610
  scipy.stats._continuous_distns.FitSolverError.__init__:
  - 617
  scipy.stats._continuous_distns._argus_phi:
  - 11152
  - 11142
  scipy.stats._continuous_distns._average_with_log_weights:
  - 4000
  - 4001
  - 3997
  - 3998
  - 3999
  scipy.stats._continuous_distns._beta_mle_a:
  - 625
  - 626
  scipy.stats._continuous_distns._beta_mle_ab:
  - 640
  - 638
  - 639
  scipy.stats._continuous_distns._call_super_mom:
  - 62
  scipy.stats._continuous_distns._call_super_mom.wrapper:
  - 64
  - 65
  - 66
  - 67
  - 69
  - 74
  scipy.stats._continuous_distns._check_fit_input_parameters:
  - 5832
  - 5833
  - 5835
  - 5836
  - 5838
  - 5845
  - 5846
  - 5847
  - 5848
  - 5850
  - 5851
  - 5852
  - 5853
  - 5859
  - 5860
  - 5863
  - 5866
  - 5873
  - 5874
  scipy.stats._continuous_distns._digammainv:
  - 3267
  - 3269
  - 3270
  - 3239
  - 3274
  - 3276
  - 3261
  - 3262
  - 3263
  scipy.stats._continuous_distns._digammainv.func:
  - 3259
  scipy.stats._continuous_distns._get_left_bracket:
  - 96
  - 90
  scipy.stats._continuous_distns._get_left_bracket.interval_contains_root:
  - 88
  scipy.stats._continuous_distns._log_diff:
  - 9634
  scipy.stats._continuous_distns._log_gauss_mass:
  - 9667
  - 9668
  - 9669
  - 9638
  - 9639
  - 9670
  - 9671
  - 9672
  - 9673
  - 9674
  scipy.stats._continuous_distns._log_gauss_mass.mass_case_central:
  - 9664
  scipy.stats._continuous_distns._log_gauss_mass.mass_case_left:
  - 9648
  scipy.stats._continuous_distns._log_gauss_mass.mass_case_right:
  - 9651
  scipy.stats._continuous_distns._log_sum:
  - 9629
  scipy.stats._continuous_distns._lognorm_logpdf:
  - 6424
  - 6425
  scipy.stats._continuous_distns._lognorm_logpdf.<lambda1>:
  - 6425
  - 6426
  scipy.stats._continuous_distns._ncx2_log_pdf:
  - 7384
  - 7385
  - 7386
  - 7388
  - 7391
  scipy.stats._continuous_distns._ncx2_log_pdf.<lambda1>:
  - 7391
  scipy.stats._continuous_distns._norm_cdf:
  - 309
  scipy.stats._continuous_distns._norm_isf:
  - 329
  scipy.stats._continuous_distns._norm_logcdf:
  - 313
  scipy.stats._continuous_distns._norm_logsf:
  - 325
  scipy.stats._continuous_distns._norm_pdf:
  - 301
  scipy.stats._continuous_distns._norm_ppf:
  - 317
  scipy.stats._continuous_distns._norm_sf:
  - 321
  scipy.stats._continuous_distns._pow1pm1:
  - 2010
  - 1995
  scipy.stats._continuous_distns._remove_optimizer_parameters:
  - 40
  - 50
  - 51
  - 52
  - 53
  - 54
  scipy.stats._continuous_distns.alpha_gen:
  - 446
  scipy.stats._continuous_distns.alpha_gen._cdf:
  - 490
  scipy.stats._continuous_distns.alpha_gen._logpdf:
  - 487
  scipy.stats._continuous_distns.alpha_gen._pdf:
  - 484
  scipy.stats._continuous_distns.alpha_gen._ppf:
  - 493
  scipy.stats._continuous_distns.alpha_gen._shape_info:
  - 480
  scipy.stats._continuous_distns.anglit_gen:
  - 503
  scipy.stats._continuous_distns.anglit_gen._cdf:
  - 530
  scipy.stats._continuous_distns.anglit_gen._entropy:
  - 542
  scipy.stats._continuous_distns.anglit_gen._pdf:
  - 527
  scipy.stats._continuous_distns.anglit_gen._ppf:
  - 536
  scipy.stats._continuous_distns.anglit_gen._sf:
  - 533
  scipy.stats._continuous_distns.arcsine_gen:
  - 549
  scipy.stats._continuous_distns.arcsine_gen._cdf:
  - 577
  scipy.stats._continuous_distns.arcsine_gen._pdf:
  - 573
  - 574
  scipy.stats._continuous_distns.arcsine_gen._ppf:
  - 580
  scipy.stats._continuous_distns.argus_gen:
  - 11156
  scipy.stats._continuous_distns.argus_gen._cdf:
  - 11206
  scipy.stats._continuous_distns.argus_gen._logpdf:
  - 11200
  - 11197
  - 11199
  scipy.stats._continuous_distns.argus_gen._pdf:
  - 11203
  scipy.stats._continuous_distns.argus_gen._rvs:
  - 11212
  - 11213
  - 11214
  - 11217
  - 11218
  - 11219
  - 11220
  - 11224
  - 11225
  - 11226
  - 11228
  - 11229
  - 11231
  scipy.stats._continuous_distns.argus_gen._rvs_scalar:
  - 11287
  - 11288
  - 11289
  - 11292
  - 11296
  - 11297
  - 11300
  - 11301
  - 11302
  - 11304
  - 11307
  - 11308
  - 11311
  - 11312
  - 11313
  - 11317
  - 11318
  - 11319
  - 11326
  - 11328
  - 11329
  - 11332
  - 11334
  scipy.stats._continuous_distns.argus_gen._sf:
  - 11209
  scipy.stats._continuous_distns.argus_gen._shape_info:
  - 11193
  scipy.stats._continuous_distns.argus_gen._stats:
  - 11339
  - 11340
  - 11341
  - 11343
  - 11346
  - 11349
  scipy.stats._continuous_distns.beta_gen:
  - 645
  - 727
  scipy.stats._continuous_distns.beta_gen._cdf:
  - 689
  scipy.stats._continuous_distns.beta_gen._entropy:
  - 869
  - 870
  - 871
  - 872
  - 873
  - 874
  - 876
  scipy.stats._continuous_distns.beta_gen._entropy.asymptotic_ab_large:
  - 841
  scipy.stats._continuous_distns.beta_gen._entropy.asymptotic_b_large:
  - 857
  - 850
  scipy.stats._continuous_distns.beta_gen._entropy.regular:
  - 835
  - 836
  scipy.stats._continuous_distns.beta_gen._entropy.threshold_large:
  - 864
  - 865
  - 866
  - 861
  scipy.stats._continuous_distns.beta_gen._fitstart:
  - 710
  - 711
  - 713
  - 714
  - 723
  - 724
  scipy.stats._continuous_distns.beta_gen._fitstart.func:
  - 718
  scipy.stats._continuous_distns.beta_gen._isf:
  - 696
  - 695
  scipy.stats._continuous_distns.beta_gen._logpdf:
  - 684
  - 685
  scipy.stats._continuous_distns.beta_gen._pdf:
  - 680
  - 681
  scipy.stats._continuous_distns.beta_gen._ppf:
  - 699
  - 700
  scipy.stats._continuous_distns.beta_gen._rvs:
  - 674
  scipy.stats._continuous_distns.beta_gen._sf:
  - 692
  scipy.stats._continuous_distns.beta_gen._shape_info:
  - 669
  - 670
  scipy.stats._continuous_distns.beta_gen._stats:
  - 704
  - 705
  - 706
  - 707
  scipy.stats._continuous_distns.beta_gen.fit:
  - 768
  - 771
  - 773
  - 776
  - 793
  - 795
  - 798
  - 802
  - 812
  - 813
  - 817
  - 822
  - 824
  - 827
  - 736
  - 737
  - 739
  - 741
  - 744
  - 745
  - 747
  - 748
  - 750
  - 752
  - 763
  - 767
  scipy.stats._continuous_distns.betaprime_gen:
  - 883
  scipy.stats._continuous_distns.betaprime_gen._cdf:
  - 960
  - 957
  - 959
  scipy.stats._continuous_distns.betaprime_gen._cdf.<lambda1>:
  - 959
  scipy.stats._continuous_distns.betaprime_gen._cdf.<lambda2>:
  - 960
  scipy.stats._continuous_distns.betaprime_gen._logpdf:
  - 947
  scipy.stats._continuous_distns.betaprime_gen._munp:
  - 984
  - 986
  scipy.stats._continuous_distns.betaprime_gen._munp.<lambda1>:
  - 986
  scipy.stats._continuous_distns.betaprime_gen._pdf:
  - 944
  scipy.stats._continuous_distns.betaprime_gen._ppf:
  - 976
  - 977
  - 970
  - 980
  scipy.stats._continuous_distns.betaprime_gen._rvs:
  - 938
  - 939
  scipy.stats._continuous_distns.betaprime_gen._sf:
  - 963
  - 965
  - 966
  scipy.stats._continuous_distns.betaprime_gen._sf.<lambda1>:
  - 965
  scipy.stats._continuous_distns.betaprime_gen._sf.<lambda2>:
  - 966
  scipy.stats._continuous_distns.betaprime_gen._shape_info:
  - 933
  - 934
  scipy.stats._continuous_distns.bradford_gen:
  - 994
  scipy.stats._continuous_distns.bradford_gen._cdf:
  - 1023
  scipy.stats._continuous_distns.bradford_gen._entropy:
  - 1044
  - 1045
  scipy.stats._continuous_distns.bradford_gen._pdf:
  - 1020
  scipy.stats._continuous_distns.bradford_gen._ppf:
  - 1026
  scipy.stats._continuous_distns.bradford_gen._shape_info:
  - 1016
  scipy.stats._continuous_distns.bradford_gen._stats:
  - 1029
  - 1034
  - 1035
  - 1036
  - 1037
  scipy.stats._continuous_distns.burr12_gen:
  - 1184
  scipy.stats._continuous_distns.burr12_gen._cdf:
  - 1241
  scipy.stats._continuous_distns.burr12_gen._logcdf:
  - 1244
  scipy.stats._continuous_distns.burr12_gen._logpdf:
  - 1238
  scipy.stats._continuous_distns.burr12_gen._logsf:
  - 1250
  scipy.stats._continuous_distns.burr12_gen._munp:
  - 1263
  scipy.stats._continuous_distns.burr12_gen._munp.moment_if_exists:
  - 1261
  scipy.stats._continuous_distns.burr12_gen._pdf:
  - 1235
  scipy.stats._continuous_distns.burr12_gen._ppf:
  - 1256
  scipy.stats._continuous_distns.burr12_gen._sf:
  - 1247
  scipy.stats._continuous_distns.burr12_gen._shape_info:
  - 1229
  - 1230
  scipy.stats._continuous_distns.burr_gen:
  - 1052
  scipy.stats._continuous_distns.burr_gen._isf:
  - 1144
  - 1145
  scipy.stats._continuous_distns.burr_gen._logcdf:
  - 1132
  scipy.stats._continuous_distns.burr_gen._logpdf:
  - 1121
  - 1124
  - 1117
  - 1119
  scipy.stats._continuous_distns.burr_gen._logpdf.<lambda1>:
  - 1120
  - 1119
  scipy.stats._continuous_distns.burr_gen._logpdf.<lambda2>:
  - 1121
  - 1122
  - 1123
  scipy.stats._continuous_distns.burr_gen._logsf:
  - 1138
  scipy.stats._continuous_distns.burr_gen._munp:
  - 1176
  - 1174
  - 1175
  scipy.stats._continuous_distns.burr_gen._munp.<lambda1>:
  - 1176
  scipy.stats._continuous_distns.burr_gen._munp.__munp:
  - 1173
  scipy.stats._continuous_distns.burr_gen._pdf:
  - 1112
  - 1107
  - 1109
  - 1110
  scipy.stats._continuous_distns.burr_gen._sf:
  - 1135
  scipy.stats._continuous_distns.burr_gen._shape_info:
  - 1101
  - 1102
  scipy.stats._continuous_distns.burr_gen._stats:
  - 1153
  - 1154
  - 1157
  - 1160
  - 1163
  - 1166
  - 1167
  - 1148
  - 1150
  - 1151
  scipy.stats._continuous_distns.burr_gen._stats.<lambda1>:
  - 1158
  scipy.stats._continuous_distns.cauchy_gen:
  - 1356
  scipy.stats._continuous_distns.cauchy_gen._cdf:
  - 1383
  scipy.stats._continuous_distns.cauchy_gen._entropy:
  - 1398
  scipy.stats._continuous_distns.cauchy_gen._fitstart:
  - 1402
  - 1403
  - 1404
  scipy.stats._continuous_distns.cauchy_gen._isf:
  - 1392
  scipy.stats._continuous_distns.cauchy_gen._ppf:
  - 1386
  scipy.stats._continuous_distns.cauchy_gen._sf:
  - 1389
  scipy.stats._continuous_distns.chi2_gen:
  - 1497
  scipy.stats._continuous_distns.chi2_gen._cdf:
  - 1544
  scipy.stats._continuous_distns.chi2_gen._entropy:
  - 1580
  scipy.stats._continuous_distns.chi2_gen._entropy.asymptotic_formula:
  - 1578
  - 1575
  scipy.stats._continuous_distns.chi2_gen._entropy.regular_formula:
  - 1566
  - 1567
  scipy.stats._continuous_distns.chi2_gen._isf:
  - 1550
  scipy.stats._continuous_distns.chi2_gen._logpdf:
  - 1541
  scipy.stats._continuous_distns.chi2_gen._pdf:
  - 1538
  scipy.stats._continuous_distns.chi2_gen._ppf:
  - 1553
  scipy.stats._continuous_distns.chi2_gen._rvs:
  - 1534
  scipy.stats._continuous_distns.chi2_gen._sf:
  - 1547
  scipy.stats._continuous_distns.chi2_gen._shape_info:
  - 1531
  scipy.stats._continuous_distns.chi2_gen._stats:
  - 1558
  scipy.stats._continuous_distns.chi_gen:
  - 1412
  scipy.stats._continuous_distns.chi_gen._cdf:
  - 1459
  scipy.stats._continuous_distns.chi_gen._entropy:
  - 1489
  scipy.stats._continuous_distns.chi_gen._entropy.asymptotic_formula:
  - 1486
  scipy.stats._continuous_distns.chi_gen._entropy.regular_formula:
  - 1482
  - 1483
  scipy.stats._continuous_distns.chi_gen._isf:
  - 1468
  scipy.stats._continuous_distns.chi_gen._logpdf:
  - 1456
  - 1455
  scipy.stats._continuous_distns.chi_gen._pdf:
  - 1452
  scipy.stats._continuous_distns.chi_gen._ppf:
  - 1465
  scipy.stats._continuous_distns.chi_gen._rvs:
  - 1446
  scipy.stats._continuous_distns.chi_gen._sf:
  - 1462
  scipy.stats._continuous_distns.chi_gen._shape_info:
  - 1443
  scipy.stats._continuous_distns.chi_gen._stats:
  - 1472
  - 1474
  - 1476
  scipy.stats._continuous_distns.cosine_gen:
  - 1589
  scipy.stats._continuous_distns.cosine_gen._cdf:
  - 1623
  scipy.stats._continuous_distns.cosine_gen._entropy:
  - 1640
  scipy.stats._continuous_distns.cosine_gen._isf:
  - 1632
  scipy.stats._continuous_distns.cosine_gen._logpdf:
  - 1617
  - 1618
  - 1619
  scipy.stats._continuous_distns.cosine_gen._logpdf.<lambda1>:
  - 1619
  scipy.stats._continuous_distns.cosine_gen._pdf:
  - 1614
  scipy.stats._continuous_distns.cosine_gen._ppf:
  - 1629
  scipy.stats._continuous_distns.cosine_gen._sf:
  - 1626
  scipy.stats._continuous_distns.crystalball_gen:
  - 10987
  scipy.stats._continuous_distns.crystalball_gen._argcheck:
  - 11023
  scipy.stats._continuous_distns.crystalball_gen._cdf:
  - 11089
  - 11075
  - 11078
  - 11079
  scipy.stats._continuous_distns.crystalball_gen._cdf.lhs:
  - 11086
  scipy.stats._continuous_distns.crystalball_gen._cdf.rhs:
  - 11082
  - 11083
  scipy.stats._continuous_distns.crystalball_gen._fitstart:
  - 11035
  scipy.stats._continuous_distns.crystalball_gen._logpdf:
  - 11064
  - 11072
  - 11060
  - 11063
  scipy.stats._continuous_distns.crystalball_gen._logpdf.lhs:
  - 11070
  scipy.stats._continuous_distns.crystalball_gen._munp:
  - 11112
  - 11115
  - 11116
  - 11133
  - 11134
  scipy.stats._continuous_distns.crystalball_gen._munp.n_th_moment:
  - 11119
  - 11123
  - 11125
  - 11126
  - 11127
  - 11128
  - 11129
  scipy.stats._continuous_distns.crystalball_gen._pdf:
  - 11048
  - 11057
  - 11038
  - 11047
  scipy.stats._continuous_distns.crystalball_gen._pdf.lhs:
  - 11054
  scipy.stats._continuous_distns.crystalball_gen._pdf.rhs:
  - 11051
  scipy.stats._continuous_distns.crystalball_gen._ppf:
  - 11109
  - 11092
  - 11093
  - 11094
  scipy.stats._continuous_distns.crystalball_gen._ppf.ppf_greater:
  - 11104
  - 11106
  - 11107
  scipy.stats._continuous_distns.crystalball_gen._ppf.ppf_less:
  - 11097
  - 11099
  scipy.stats._continuous_distns.crystalball_gen._shape_info:
  - 11029
  - 11030
  scipy.stats._continuous_distns.dgamma_gen:
  - 1647
  scipy.stats._continuous_distns.dgamma_gen._cdf:
  - 1696
  - 1697
  - 1698
  scipy.stats._continuous_distns.dgamma_gen._entropy:
  - 1706
  scipy.stats._continuous_distns.dgamma_gen._isf:
  - 1714
  - 1715
  - 1716
  scipy.stats._continuous_distns.dgamma_gen._logpdf:
  - 1692
  - 1693
  scipy.stats._continuous_distns.dgamma_gen._pdf:
  - 1688
  - 1689
  scipy.stats._continuous_distns.dgamma_gen._ppf:
  - 1709
  - 1710
  - 1711
  scipy.stats._continuous_distns.dgamma_gen._rvs:
  - 1682
  - 1683
  - 1684
  scipy.stats._continuous_distns.dgamma_gen._sf:
  - 1701
  - 1702
  - 1703
  scipy.stats._continuous_distns.dgamma_gen._shape_info:
  - 1679
  scipy.stats._continuous_distns.dweibull_gen:
  - 1727
  scipy.stats._continuous_distns.dweibull_gen._cdf:
  - 1768
  - 1767
  scipy.stats._continuous_distns.dweibull_gen._entropy:
  - 1794
  scipy.stats._continuous_distns.dweibull_gen._isf:
  - 1780
  - 1781
  - 1782
  scipy.stats._continuous_distns.dweibull_gen._logpdf:
  - 1763
  - 1764
  scipy.stats._continuous_distns.dweibull_gen._munp:
  - 1785
  scipy.stats._continuous_distns.dweibull_gen._pdf:
  - 1758
  - 1759
  scipy.stats._continuous_distns.dweibull_gen._ppf:
  - 1771
  - 1772
  - 1773
  scipy.stats._continuous_distns.dweibull_gen._rvs:
  - 1752
  - 1753
  - 1754
  scipy.stats._continuous_distns.dweibull_gen._sf:
  - 1776
  - 1777
  scipy.stats._continuous_distns.dweibull_gen._shape_info:
  - 1749
  scipy.stats._continuous_distns.erlang_gen:
  - 3500
  - 3543
  scipy.stats._continuous_distns.erlang_gen._argcheck:
  - 3520
  - 3521
  - 3526
  scipy.stats._continuous_distns.erlang_gen._fitstart:
  - 3536
  - 3537
  - 3538
  - 3539
  scipy.stats._continuous_distns.erlang_gen._shape_info:
  - 3530
  scipy.stats._continuous_distns.erlang_gen.fit:
  - 3551
  scipy.stats._continuous_distns.expon_gen:
  - 1802
  - 1863
  scipy.stats._continuous_distns.expon_gen._cdf:
  - 1842
  scipy.stats._continuous_distns.expon_gen._isf:
  - 1854
  scipy.stats._continuous_distns.expon_gen._pdf:
  - 1836
  scipy.stats._continuous_distns.expon_gen._ppf:
  - 1845
  scipy.stats._continuous_distns.expon_gen._rvs:
  - 1832
  scipy.stats._continuous_distns.expon_gen._sf:
  - 1848
  scipy.stats._continuous_distns.expon_gen.fit:
  - 1888
  - 1890
  - 1895
  - 1899
  - 1901
  - 1870
  - 1873
  - 1874
  - 1907
  - 1876
  - 1878
  - 1883
  - 1885
  scipy.stats._continuous_distns.exponnorm_gen:
  - 1914
  scipy.stats._continuous_distns.exponnorm_gen._cdf:
  - 1974
  - 1975
  scipy.stats._continuous_distns.exponnorm_gen._logpdf:
  - 1969
  scipy.stats._continuous_distns.exponnorm_gen._pdf:
  - 1964
  scipy.stats._continuous_distns.exponnorm_gen._rvs:
  - 1960
  - 1959
  scipy.stats._continuous_distns.exponnorm_gen._sf:
  - 1980
  - 1981
  scipy.stats._continuous_distns.exponnorm_gen._shape_info:
  - 1956
  scipy.stats._continuous_distns.exponpow_gen:
  - 2089
  scipy.stats._continuous_distns.exponpow_gen._cdf:
  - 2129
  scipy.stats._continuous_distns.exponpow_gen._isf:
  - 2135
  scipy.stats._continuous_distns.exponpow_gen._logpdf:
  - 2125
  scipy.stats._continuous_distns.exponpow_gen._pdf:
  - 2121
  scipy.stats._continuous_distns.exponpow_gen._ppf:
  - 2138
  scipy.stats._continuous_distns.exponpow_gen._sf:
  - 2132
  scipy.stats._continuous_distns.exponpow_gen._shape_info:
  - 2117
  scipy.stats._continuous_distns.exponweib_gen:
  - 2014
  scipy.stats._continuous_distns.exponweib_gen._cdf:
  - 2072
  scipy.stats._continuous_distns.exponweib_gen._isf:
  - 2082
  scipy.stats._continuous_distns.exponweib_gen._logpdf:
  - 2066
  - 2067
  - 2068
  scipy.stats._continuous_distns.exponweib_gen._pdf:
  - 2062
  scipy.stats._continuous_distns.exponweib_gen._ppf:
  - 2076
  scipy.stats._continuous_distns.exponweib_gen._sf:
  - 2079
  scipy.stats._continuous_distns.exponweib_gen._shape_info:
  - 2056
  - 2055
  scipy.stats._continuous_distns.f_gen:
  - 2276
  scipy.stats._continuous_distns.f_gen._cdf:
  - 2334
  scipy.stats._continuous_distns.f_gen._entropy:
  - 2380
  - 2381
  - 2382
  scipy.stats._continuous_distns.f_gen._logpdf:
  - 2329
  - 2330
  scipy.stats._continuous_distns.f_gen._pdf:
  - 2324
  scipy.stats._continuous_distns.f_gen._ppf:
  - 2340
  scipy.stats._continuous_distns.f_gen._rvs:
  - 2318
  scipy.stats._continuous_distns.f_gen._sf:
  - 2337
  scipy.stats._continuous_distns.f_gen._shape_info:
  - 2313
  - 2314
  scipy.stats._continuous_distns.f_gen._stats:
  - 2346
  - 2348
  - 2351
  - 2353
  - 2357
  - 2359
  - 2362
  - 2364
  - 2366
  scipy.stats._continuous_distns.f_gen._stats.<lambda3>:
  - 2360
  scipy.stats._continuous_distns.fatiguelife_gen:
  - 2145
  scipy.stats._continuous_distns.fatiguelife_gen._cdf:
  - 2193
  scipy.stats._continuous_distns.fatiguelife_gen._isf:
  - 2203
  - 2204
  scipy.stats._continuous_distns.fatiguelife_gen._logpdf:
  - 2189
  - 2190
  scipy.stats._continuous_distns.fatiguelife_gen._pdf:
  - 2186
  scipy.stats._continuous_distns.fatiguelife_gen._ppf:
  - 2196
  - 2197
  scipy.stats._continuous_distns.fatiguelife_gen._rvs:
  - 2177
  - 2180
  scipy.stats._continuous_distns.fatiguelife_gen._sf:
  - 2200
  scipy.stats._continuous_distns.fatiguelife_gen._shape_info:
  - 2174
  scipy.stats._continuous_distns.fatiguelife_gen._stats:
  - 2216
  scipy.stats._continuous_distns.fisk_gen:
  - 1271
  scipy.stats._continuous_distns.fisk_gen._cdf:
  - 1321
  scipy.stats._continuous_distns.fisk_gen._entropy:
  - 1349
  scipy.stats._continuous_distns.fisk_gen._isf:
  - 1340
  scipy.stats._continuous_distns.fisk_gen._logcdf:
  - 1331
  scipy.stats._continuous_distns.fisk_gen._logpdf:
  - 1328
  scipy.stats._continuous_distns.fisk_gen._logsf:
  - 1334
  scipy.stats._continuous_distns.fisk_gen._munp:
  - 1343
  scipy.stats._continuous_distns.fisk_gen._pdf:
  - 1318
  scipy.stats._continuous_distns.fisk_gen._ppf:
  - 1337
  scipy.stats._continuous_distns.fisk_gen._sf:
  - 1324
  scipy.stats._continuous_distns.fisk_gen._shape_info:
  - 1314
  scipy.stats._continuous_distns.fisk_gen._stats:
  - 1346
  scipy.stats._continuous_distns.foldcauchy_gen:
  - 2225
  scipy.stats._continuous_distns.foldcauchy_gen._cdf:
  - 2259
  scipy.stats._continuous_distns.foldcauchy_gen._rvs:
  - 2251
  scipy.stats._continuous_distns.foldcauchy_gen._sf:
  - 2266
  scipy.stats._continuous_distns.foldcauchy_gen._shape_info:
  - 2248
  scipy.stats._continuous_distns.foldnorm_gen:
  - 2397
  scipy.stats._continuous_distns.foldnorm_gen._cdf:
  - 2432
  - 2433
  scipy.stats._continuous_distns.foldnorm_gen._pdf:
  - 2429
  scipy.stats._continuous_distns.foldnorm_gen._rvs:
  - 2425
  scipy.stats._continuous_distns.foldnorm_gen._sf:
  - 2436
  scipy.stats._continuous_distns.foldnorm_gen._shape_info:
  - 2422
  scipy.stats._continuous_distns.foldnorm_gen._stats:
  - 2449
  - 2443
  - 2445
  scipy.stats._continuous_distns.gamma_gen:
  - 3289
  - 3385
  scipy.stats._continuous_distns.gamma_gen._cdf:
  - 3343
  scipy.stats._continuous_distns.gamma_gen._entropy:
  - 3370
  scipy.stats._continuous_distns.gamma_gen._entropy.asymptotic_formula:
  - 3367
  scipy.stats._continuous_distns.gamma_gen._entropy.regular_formula:
  - 3360
  scipy.stats._continuous_distns.gamma_gen._fitstart:
  - 3379
  - 3380
  - 3381
  - 3383
  scipy.stats._continuous_distns.gamma_gen._isf:
  - 3352
  scipy.stats._continuous_distns.gamma_gen._logpdf:
  - 3340
  scipy.stats._continuous_distns.gamma_gen._pdf:
  - 3337
  scipy.stats._continuous_distns.gamma_gen._ppf:
  - 3349
  scipy.stats._continuous_distns.gamma_gen._rvs:
  - 3333
  scipy.stats._continuous_distns.gamma_gen._sf:
  - 3346
  scipy.stats._continuous_distns.gamma_gen._shape_info:
  - 3330
  scipy.stats._continuous_distns.gamma_gen._stats:
  - 3355
  scipy.stats._continuous_distns.gamma_gen.fit:
  - 3458
  - 3465
  - 3467
  - 3475
  - 3476
  - 3479
  - 3489
  - 3490
  - 3393
  - 3394
  - 3396
  - 3397
  - 3400
  - 3403
  - 3405
  - 3406
  - 3408
  - 3410
  - 3418
  - 3420
  - 3424
  - 3425
  - 3426
  - 3427
  - 3430
  - 3433
  - 3434
  - 3435
  - 3437
  - 3440
  - 3442
  - 3444
  - 3451
  - 3454
  scipy.stats._continuous_distns.gamma_gen.fit.<lambda1>:
  - 3479
  scipy.stats._continuous_distns.gausshyper_gen:
  - 4569
  scipy.stats._continuous_distns.gausshyper_gen._munp:
  - 4618
  - 4619
  - 4620
  scipy.stats._continuous_distns.gausshyper_gen._pdf:
  - 4613
  scipy.stats._continuous_distns.gausshyper_gen._shape_info:
  - 4608
  - 4609
  - 4606
  - 4607
  scipy.stats._continuous_distns.genexpon_gen:
  - 3020
  scipy.stats._continuous_distns.genexpon_gen._cdf:
  - 3067
  scipy.stats._continuous_distns.genexpon_gen._isf:
  - 3080
  - 3079
  scipy.stats._continuous_distns.genexpon_gen._logpdf:
  - 3064
  scipy.stats._continuous_distns.genexpon_gen._pdf:
  - 3060
  - 3061
  scipy.stats._continuous_distns.genexpon_gen._ppf:
  - 3072
  - 3071
  scipy.stats._continuous_distns.genexpon_gen._sf:
  - 3075
  scipy.stats._continuous_distns.genexpon_gen._shape_info:
  - 3052
  - 3053
  - 3054
  scipy.stats._continuous_distns.genextreme_gen:
  - 3087
  scipy.stats._continuous_distns.genextreme_gen._argcheck:
  - 3126
  scipy.stats._continuous_distns.genextreme_gen._cdf:
  - 3165
  scipy.stats._continuous_distns.genextreme_gen._fitstart:
  - 3214
  - 3215
  - 3217
  - 3218
  - 3222
  scipy.stats._continuous_distns.genextreme_gen._get_support:
  - 3132
  - 3133
  scipy.stats._continuous_distns.genextreme_gen._isf:
  - 3176
  - 3177
  - 3178
  scipy.stats._continuous_distns.genextreme_gen._isf.<lambda1>:
  - 3178
  scipy.stats._continuous_distns.genextreme_gen._logcdf:
  - 3162
  scipy.stats._continuous_distns.genextreme_gen._loglogcdf:
  - 3138
  - 3139
  scipy.stats._continuous_distns.genextreme_gen._loglogcdf.<lambda1>:
  - 3139
  scipy.stats._continuous_distns.genextreme_gen._logpdf:
  - 3148
  - 3149
  - 3150
  - 3151
  - 3153
  - 3154
  - 3156
  - 3158
  scipy.stats._continuous_distns.genextreme_gen._munp:
  - 3225
  - 3226
  - 3227
  - 3229
  scipy.stats._continuous_distns.genextreme_gen._pdf:
  - 3145
  scipy.stats._continuous_distns.genextreme_gen._ppf:
  - 3171
  - 3172
  - 3173
  scipy.stats._continuous_distns.genextreme_gen._ppf.<lambda1>:
  - 3173
  scipy.stats._continuous_distns.genextreme_gen._sf:
  - 3168
  scipy.stats._continuous_distns.genextreme_gen._shape_info:
  - 3129
  scipy.stats._continuous_distns.genextreme_gen._stats:
  - 3202
  - 3205
  - 3207
  - 3210
  - 3183
  - 3184
  - 3185
  - 3186
  - 3187
  - 3188
  - 3189
  - 3191
  - 3193
  - 3194
  - 3197
  - 3199
  scipy.stats._continuous_distns.genextreme_gen._stats.<lambda1>:
  - 3200
  scipy.stats._continuous_distns.genextreme_gen._stats.g:
  - 3182
  scipy.stats._continuous_distns.gengamma_gen:
  - 3558
  scipy.stats._continuous_distns.gengamma_gen._cdf:
  - 3608
  - 3609
  - 3610
  scipy.stats._continuous_distns.gengamma_gen._entropy:
  - 3650
  scipy.stats._continuous_distns.gengamma_gen._entropy.asymptotic:
  - 3648
  - 3646
  - 3647
  scipy.stats._continuous_distns.gengamma_gen._entropy.regular:
  - 3640
  - 3638
  scipy.stats._continuous_distns.gengamma_gen._isf:
  - 3628
  - 3629
  - 3630
  scipy.stats._continuous_distns.gengamma_gen._logpdf:
  - 3601
  - 3602
  scipy.stats._continuous_distns.gengamma_gen._logpdf.<lambda1>:
  - 3602
  - 3603
  scipy.stats._continuous_distns.gengamma_gen._munp:
  - 3634
  scipy.stats._continuous_distns.gengamma_gen._pdf:
  - 3598
  scipy.stats._continuous_distns.gengamma_gen._ppf:
  - 3624
  - 3625
  - 3623
  scipy.stats._continuous_distns.gengamma_gen._rvs:
  - 3613
  scipy.stats._continuous_distns.gengamma_gen._sf:
  - 3618
  - 3619
  - 3620
  scipy.stats._continuous_distns.gengamma_gen._shape_info:
  - 3593
  - 3594
  scipy.stats._continuous_distns.genhalflogistic_gen:
  - 3658
  scipy.stats._continuous_distns.genhalflogistic_gen._cdf:
  - 3696
  scipy.stats._continuous_distns.genhalflogistic_gen._entropy:
  - 3704
  scipy.stats._continuous_distns.genhalflogistic_gen._pdf:
  - 3689
  scipy.stats._continuous_distns.genhalflogistic_gen._shape_info:
  - 3680
  scipy.stats._continuous_distns.genhyperbolic_gen:
  - 3839
  - 3711
  scipy.stats._continuous_distns.genhyperbolic_gen.<lambda1>:
  - 3839
  scipy.stats._continuous_distns.genhyperbolic_gen._argcheck:
  - 3801
  - 3802
  scipy.stats._continuous_distns.genhyperbolic_gen._cdf:
  - 3874
  scipy.stats._continuous_distns.genhyperbolic_gen._fitstart:
  - 3813
  scipy.stats._continuous_distns.genhyperbolic_gen._integrate_pdf:
  - 3842
  - 3847
  - 3848
  - 3850
  - 3851
  - 3854
  - 3860
  - 3862
  - 3865
  - 3867
  - 3870
  - 3871
  scipy.stats._continuous_distns.genhyperbolic_gen._logpdf:
  - 3822
  scipy.stats._continuous_distns.genhyperbolic_gen._logpdf._logpdf_single:
  - 3820
  scipy.stats._continuous_distns.genhyperbolic_gen._pdf:
  - 3831
  scipy.stats._continuous_distns.genhyperbolic_gen._pdf._pdf_single:
  - 3829
  scipy.stats._continuous_distns.genhyperbolic_gen._rvs:
  - 3884
  - 3886
  - 3888
  - 3889
  - 3896
  - 3898
  scipy.stats._continuous_distns.genhyperbolic_gen._sf:
  - 3877
  scipy.stats._continuous_distns.genhyperbolic_gen._shape_info:
  - 3805
  - 3806
  - 3807
  scipy.stats._continuous_distns.genhyperbolic_gen._stats:
  - 3904
  - 3905
  - 3906
  - 3907
  - 3908
  - 3910
  - 3911
  - 3916
  - 3917
  - 3920
  - 3921
  - 3922
  - 3923
  - 3924
  - 3926
  - 3928
  - 3929
  - 3930
  - 3931
  - 3932
  - 3933
  - 3934
  - 3935
  - 3937
  scipy.stats._continuous_distns.geninvgauss_gen:
  - 4864
  scipy.stats._continuous_distns.geninvgauss_gen._cdf:
  - 4929
  - 4939
  - 4941
  scipy.stats._continuous_distns.geninvgauss_gen._cdf._cdf_single:
  - 4937
  - 4933
  - 4934
  scipy.stats._continuous_distns.geninvgauss_gen._logpdf:
  - 4921
  - 4915
  - 4917
  - 4918
  scipy.stats._continuous_distns.geninvgauss_gen._logpdf.logpdf_single:
  - 4913
  scipy.stats._continuous_distns.geninvgauss_gen._logquasipdf:
  - 4945
  - 4946
  scipy.stats._continuous_distns.geninvgauss_gen._logquasipdf.<lambda1>:
  - 4946
  scipy.stats._continuous_distns.geninvgauss_gen._mode:
  - 5160
  - 5162
  - 5159
  scipy.stats._continuous_distns.geninvgauss_gen._munp:
  - 5165
  - 5166
  - 5167
  - 5168
  - 5172
  - 5173
  scipy.stats._continuous_distns.geninvgauss_gen._pdf:
  - 4926
  scipy.stats._continuous_distns.geninvgauss_gen._rvs:
  - 4961
  - 4994
  - 4995
  - 4996
  - 4998
  - 5000
  - 5001
  - 4971
  - 4975
  - 4979
  - 4981
  - 4952
  - 4953
  - 4954
  - 4955
  scipy.stats._continuous_distns.geninvgauss_gen._rvs_scalar:
  - 5125
  - 5127
  - 5128
  - 5130
  - 5131
  - 5008
  - 5136
  - 5010
  - 5139
  - 5014
  - 5142
  - 5143
  - 5144
  - 5018
  - 5146
  - 5147
  - 5021
  - 5148
  - 5152
  - 5153
  - 5029
  - 5030
  - 5031
  - 5034
  - 5036
  - 5042
  - 5043
  - 5044
  - 5045
  - 5052
  - 5053
  - 5054
  - 5057
  - 5058
  - 5068
  - 5069
  - 5072
  - 5078
  - 5080
  - 5087
  - 5088
  - 5092
  - 5093
  - 5094
  - 5098
  - 5107
  - 5108
  - 5110
  - 5111
  - 5112
  - 5115
  - 5119
  scipy.stats._continuous_distns.geninvgauss_gen._rvs_scalar.logqpdf:
  - 5076
  - 5062
  scipy.stats._continuous_distns.geninvgauss_gen._shape_info:
  - 4904
  - 4905
  scipy.stats._continuous_distns.genlogistic_gen:
  - 2810
  scipy.stats._continuous_distns.genlogistic_gen._cdf:
  - 2858
  scipy.stats._continuous_distns.genlogistic_gen._entropy:
  - 2890
  - 2883
  - 2884
  scipy.stats._continuous_distns.genlogistic_gen._entropy.<lambda1>:
  - 2884
  scipy.stats._continuous_distns.genlogistic_gen._isf:
  - 2871
  scipy.stats._continuous_distns.genlogistic_gen._logcdf:
  - 2862
  scipy.stats._continuous_distns.genlogistic_gen._logpdf:
  - 2854
  - 2855
  scipy.stats._continuous_distns.genlogistic_gen._pdf:
  - 2847
  scipy.stats._continuous_distns.genlogistic_gen._ppf:
  - 2865
  scipy.stats._continuous_distns.genlogistic_gen._sf:
  - 2868
  scipy.stats._continuous_distns.genlogistic_gen._shape_info:
  - 2843
  scipy.stats._continuous_distns.genlogistic_gen._stats:
  - 2874
  - 2875
  - 2876
  - 2877
  - 2878
  scipy.stats._continuous_distns.gennorm_gen:
  - 10830
  scipy.stats._continuous_distns.gennorm_gen._cdf:
  - 10882
  - 10884
  scipy.stats._continuous_distns.gennorm_gen._entropy:
  - 10902
  scipy.stats._continuous_distns.gennorm_gen._isf:
  - 10895
  scipy.stats._continuous_distns.gennorm_gen._logpdf:
  - 10879
  scipy.stats._continuous_distns.gennorm_gen._pdf:
  - 10876
  scipy.stats._continuous_distns.gennorm_gen._ppf:
  - 10889
  - 10887
  scipy.stats._continuous_distns.gennorm_gen._rvs:
  - 10907
  - 10910
  - 10911
  scipy.stats._continuous_distns.gennorm_gen._sf:
  - 10892
  scipy.stats._continuous_distns.gennorm_gen._shape_info:
  - 10873
  scipy.stats._continuous_distns.gennorm_gen._stats:
  - 10898
  - 10899
  scipy.stats._continuous_distns.genpareto_gen:
  - 2897
  scipy.stats._continuous_distns.genpareto_gen._argcheck:
  - 2933
  scipy.stats._continuous_distns.genpareto_gen._cdf:
  - 2956
  scipy.stats._continuous_distns.genpareto_gen._get_support:
  - 2939
  - 2940
  - 2941
  - 2943
  scipy.stats._continuous_distns.genpareto_gen._isf:
  - 2970
  scipy.stats._continuous_distns.genpareto_gen._logpdf:
  - 2952
  - 2951
  scipy.stats._continuous_distns.genpareto_gen._logpdf.<lambda1>:
  - 2952
  scipy.stats._continuous_distns.genpareto_gen._logsf:
  - 2962
  - 2963
  scipy.stats._continuous_distns.genpareto_gen._logsf.<lambda1>:
  - 2963
  scipy.stats._continuous_distns.genpareto_gen._munp:
  - 3008
  - 3009
  - 3010
  scipy.stats._continuous_distns.genpareto_gen._munp.<lambda1>:
  - 3009
  scipy.stats._continuous_distns.genpareto_gen._munp.__munp:
  - 3004
  - 3005
  - 3007
  scipy.stats._continuous_distns.genpareto_gen._pdf:
  - 2948
  scipy.stats._continuous_distns.genpareto_gen._ppf:
  - 2967
  scipy.stats._continuous_distns.genpareto_gen._sf:
  - 2959
  scipy.stats._continuous_distns.genpareto_gen._shape_info:
  - 2936
  scipy.stats._continuous_distns.genpareto_gen._stats:
  - 2976
  - 2977
  - 2979
  - 2982
  - 2983
  - 2985
  - 2988
  - 2989
  - 2992
  - 2995
  - 2996
  - 2973
  scipy.stats._continuous_distns.genpareto_gen._stats.<lambda3>:
  - 2989
  scipy.stats._continuous_distns.gibrat_gen:
  - 6632
  scipy.stats._continuous_distns.gibrat_gen._cdf:
  - 6667
  scipy.stats._continuous_distns.gibrat_gen._entropy:
  - 6687
  scipy.stats._continuous_distns.gibrat_gen._isf:
  - 6676
  scipy.stats._continuous_distns.gibrat_gen._logpdf:
  - 6664
  scipy.stats._continuous_distns.gibrat_gen._pdf:
  - 6661
  scipy.stats._continuous_distns.gibrat_gen._ppf:
  - 6670
  scipy.stats._continuous_distns.gibrat_gen._rvs:
  - 6657
  scipy.stats._continuous_distns.gibrat_gen._sf:
  - 6673
  scipy.stats._continuous_distns.gibrat_gen._stats:
  - 6680
  - 6682
  - 6683
  scipy.stats._continuous_distns.gompertz_gen:
  - 3946
  scipy.stats._continuous_distns.gompertz_gen._cdf:
  - 3978
  scipy.stats._continuous_distns.gompertz_gen._entropy:
  - 3990
  scipy.stats._continuous_distns.gompertz_gen._isf:
  - 3987
  scipy.stats._continuous_distns.gompertz_gen._logpdf:
  - 3975
  scipy.stats._continuous_distns.gompertz_gen._pdf:
  - 3972
  scipy.stats._continuous_distns.gompertz_gen._ppf:
  - 3981
  scipy.stats._continuous_distns.gompertz_gen._sf:
  - 3984
  scipy.stats._continuous_distns.gompertz_gen._shape_info:
  - 3968
  scipy.stats._continuous_distns.gumbel_l_gen:
  - 4194
  - 4135
  scipy.stats._continuous_distns.gumbel_l_gen._cdf:
  - 4172
  scipy.stats._continuous_distns.gumbel_l_gen._isf:
  - 4184
  scipy.stats._continuous_distns.gumbel_l_gen._logpdf:
  - 4169
  scipy.stats._continuous_distns.gumbel_l_gen._logsf:
  - 4178
  scipy.stats._continuous_distns.gumbel_l_gen._pdf:
  - 4166
  scipy.stats._continuous_distns.gumbel_l_gen._ppf:
  - 4175
  scipy.stats._continuous_distns.gumbel_l_gen._sf:
  - 4181
  scipy.stats._continuous_distns.gumbel_l_gen._stats:
  - 4188
  scipy.stats._continuous_distns.gumbel_l_gen.fit:
  - 4204
  - 4206
  scipy.stats._continuous_distns.gumbel_r_gen:
  - 4005
  - 4063
  scipy.stats._continuous_distns.gumbel_r_gen._cdf:
  - 4041
  scipy.stats._continuous_distns.gumbel_r_gen._isf:
  - 4053
  scipy.stats._continuous_distns.gumbel_r_gen._logcdf:
  - 4044
  scipy.stats._continuous_distns.gumbel_r_gen._logpdf:
  - 4038
  scipy.stats._continuous_distns.gumbel_r_gen._pdf:
  - 4035
  scipy.stats._continuous_distns.gumbel_r_gen._ppf:
  - 4047
  scipy.stats._continuous_distns.gumbel_r_gen._sf:
  - 4050
  scipy.stats._continuous_distns.gumbel_r_gen._stats:
  - 4056
  scipy.stats._continuous_distns.gumbel_r_gen.fit:
  - 4065
  - 4109
  - 4078
  - 4082
  - 4086
  - 4119
  - 4124
  - 4127
  scipy.stats._continuous_distns.gumbel_r_gen.fit.func:
  - 4096
  - 4097
  - 4103
  - 4104
  - 4095
  scipy.stats._continuous_distns.gumbel_r_gen.fit.get_loc_from_scale:
  - 4076
  scipy.stats._continuous_distns.gumbel_r_gen.fit.interval_contains_root:
  - 4117
  - 4118
  scipy.stats._continuous_distns.halfcauchy_gen:
  - 4262
  - 4214
  scipy.stats._continuous_distns.halfcauchy_gen._cdf:
  - 4244
  scipy.stats._continuous_distns.halfcauchy_gen._entropy:
  - 4259
  scipy.stats._continuous_distns.halfcauchy_gen._isf:
  - 4253
  scipy.stats._continuous_distns.halfcauchy_gen._logpdf:
  - 4241
  scipy.stats._continuous_distns.halfcauchy_gen._ppf:
  - 4247
  scipy.stats._continuous_distns.halfcauchy_gen._sf:
  - 4250
  scipy.stats._continuous_distns.halfcauchy_gen.fit:
  - 4295
  - 4264
  - 4265
  - 4298
  - 4267
  - 4271
  - 4272
  - 4273
  scipy.stats._continuous_distns.halfcauchy_gen.fit.find_scale:
  - 4291
  - 4292
  - 4285
  scipy.stats._continuous_distns.halfcauchy_gen.fit.find_scale.fun_to_solve:
  - 4289
  scipy.stats._continuous_distns.halfgennorm_gen:
  - 10920
  scipy.stats._continuous_distns.halfgennorm_gen._cdf:
  - 10968
  scipy.stats._continuous_distns.halfgennorm_gen._entropy:
  - 10980
  scipy.stats._continuous_distns.halfgennorm_gen._isf:
  - 10977
  scipy.stats._continuous_distns.halfgennorm_gen._logpdf:
  - 10965
  scipy.stats._continuous_distns.halfgennorm_gen._pdf:
  - 10962
  scipy.stats._continuous_distns.halfgennorm_gen._ppf:
  - 10971
  scipy.stats._continuous_distns.halfgennorm_gen._sf:
  - 10974
  scipy.stats._continuous_distns.halfgennorm_gen._shape_info:
  - 10956
  scipy.stats._continuous_distns.halflogistic_gen:
  - 4307
  - 4372
  scipy.stats._continuous_distns.halflogistic_gen._cdf:
  - 4344
  scipy.stats._continuous_distns.halflogistic_gen._entropy:
  - 4369
  scipy.stats._continuous_distns.halflogistic_gen._isf:
  - 4353
  - 4354
  - 4355
  scipy.stats._continuous_distns.halflogistic_gen._isf.<lambda1>:
  - 4354
  scipy.stats._continuous_distns.halflogistic_gen._isf.<lambda2>:
  - 4355
  scipy.stats._continuous_distns.halflogistic_gen._logpdf:
  - 4341
  scipy.stats._continuous_distns.halflogistic_gen._munp:
  - 4358
  - 4359
  - 4360
  - 4362
  - 4364
  - 4366
  scipy.stats._continuous_distns.halflogistic_gen._pdf:
  - 4338
  scipy.stats._continuous_distns.halflogistic_gen._ppf:
  - 4347
  scipy.stats._continuous_distns.halflogistic_gen._sf:
  - 4350
  scipy.stats._continuous_distns.halflogistic_gen.fit:
  - 4416
  - 4425
  - 4374
  - 4375
  - 4377
  - 4414
  - 4415
  scipy.stats._continuous_distns.halflogistic_gen.fit.find_scale:
  - 4384
  - 4385
  - 4388
  - 4391
  - 4392
  - 4394
  - 4400
  - 4407
  - 4408
  - 4409
  scipy.stats._continuous_distns.halfnorm_gen:
  - 4434
  - 4490
  scipy.stats._continuous_distns.halfnorm_gen._cdf:
  - 4469
  scipy.stats._continuous_distns.halfnorm_gen._entropy:
  - 4487
  scipy.stats._continuous_distns.halfnorm_gen._isf:
  - 4478
  scipy.stats._continuous_distns.halfnorm_gen._logpdf:
  - 4466
  scipy.stats._continuous_distns.halfnorm_gen._pdf:
  - 4463
  scipy.stats._continuous_distns.halfnorm_gen._ppf:
  - 4472
  scipy.stats._continuous_distns.halfnorm_gen._rvs:
  - 4459
  scipy.stats._continuous_distns.halfnorm_gen._sf:
  - 4475
  scipy.stats._continuous_distns.halfnorm_gen._stats:
  - 4481
  - 4483
  scipy.stats._continuous_distns.halfnorm_gen.fit:
  - 4492
  - 4493
  - 4495
  - 4498
  - 4500
  - 4501
  - 4508
  - 4511
  scipy.stats._continuous_distns.hypsecant_gen:
  - 4520
  scipy.stats._continuous_distns.hypsecant_gen._cdf:
  - 4547
  scipy.stats._continuous_distns.hypsecant_gen._entropy:
  - 4562
  scipy.stats._continuous_distns.hypsecant_gen._isf:
  - 4556
  scipy.stats._continuous_distns.hypsecant_gen._pdf:
  - 4544
  scipy.stats._continuous_distns.hypsecant_gen._ppf:
  - 4550
  scipy.stats._continuous_distns.hypsecant_gen._sf:
  - 4553
  scipy.stats._continuous_distns.invgamma_gen:
  - 4628
  scipy.stats._continuous_distns.invgamma_gen._cdf:
  - 4670
  scipy.stats._continuous_distns.invgamma_gen._entropy:
  - 4709
  scipy.stats._continuous_distns.invgamma_gen._entropy.asymptotic:
  - 4705
  scipy.stats._continuous_distns.invgamma_gen._entropy.regular:
  - 4699
  scipy.stats._continuous_distns.invgamma_gen._isf:
  - 4679
  scipy.stats._continuous_distns.invgamma_gen._logpdf:
  - 4667
  scipy.stats._continuous_distns.invgamma_gen._pdf:
  - 4664
  scipy.stats._continuous_distns.invgamma_gen._ppf:
  - 4673
  scipy.stats._continuous_distns.invgamma_gen._sf:
  - 4676
  scipy.stats._continuous_distns.invgamma_gen._shape_info:
  - 4660
  scipy.stats._continuous_distns.invgamma_gen._stats:
  - 4682
  - 4683
  - 4687
  - 4688
  - 4690
  - 4691
  - 4692
  - 4694
  scipy.stats._continuous_distns.invgamma_gen._stats.<lambda3>:
  - 4690
  scipy.stats._continuous_distns.invgauss_gen:
  - 4812
  - 4717
  scipy.stats._continuous_distns.invgauss_gen._cdf:
  - 4787
  scipy.stats._continuous_distns.invgauss_gen._entropy:
  - 4856
  - 4852
  - 4847
  scipy.stats._continuous_distns.invgauss_gen._isf:
  - 4800
  - 4801
  - 4802
  - 4804
  - 4805
  - 4806
  scipy.stats._continuous_distns.invgauss_gen._logcdf:
  - 4772
  - 4773
  - 4774
  - 4775
  scipy.stats._continuous_distns.invgauss_gen._logpdf:
  - 4765
  scipy.stats._continuous_distns.invgauss_gen._logsf:
  - 4778
  - 4779
  - 4780
  - 4781
  scipy.stats._continuous_distns.invgauss_gen._pdf:
  - 4762
  scipy.stats._continuous_distns.invgauss_gen._ppf:
  - 4790
  - 4791
  - 4792
  - 4794
  - 4795
  - 4796
  scipy.stats._continuous_distns.invgauss_gen._rvs:
  - 4757
  scipy.stats._continuous_distns.invgauss_gen._sf:
  - 4784
  scipy.stats._continuous_distns.invgauss_gen._shape_info:
  - 4754
  scipy.stats._continuous_distns.invgauss_gen._stats:
  - 4810
  scipy.stats._continuous_distns.invgauss_gen.fit:
  - 4834
  - 4835
  - 4836
  - 4840
  - 4841
  - 4842
  - 4814
  - 4816
  - 4817
  - 4818
  - 4820
  - 4822
  scipy.stats._continuous_distns.invweibull_gen:
  - 5334
  scipy.stats._continuous_distns.invweibull_gen._cdf:
  - 5376
  - 5377
  scipy.stats._continuous_distns.invweibull_gen._entropy:
  - 5392
  scipy.stats._continuous_distns.invweibull_gen._fitstart:
  - 5397
  scipy.stats._continuous_distns.invweibull_gen._isf:
  - 5386
  scipy.stats._continuous_distns.invweibull_gen._munp:
  - 5389
  scipy.stats._continuous_distns.invweibull_gen._pdf:
  - 5370
  - 5371
  - 5372
  scipy.stats._continuous_distns.invweibull_gen._ppf:
  - 5383
  scipy.stats._continuous_distns.invweibull_gen._sf:
  - 5380
  scipy.stats._continuous_distns.invweibull_gen._shape_info:
  - 5366
  scipy.stats._continuous_distns.jf_skew_t_gen:
  - 5404
  scipy.stats._continuous_distns.jf_skew_t_gen._cdf:
  - 5458
  - 5459
  scipy.stats._continuous_distns.jf_skew_t_gen._munp:
  - 5491
  - 5468
  - 5494
  scipy.stats._continuous_distns.jf_skew_t_gen._munp.nth_moment:
  - 5477
  - 5481
  - 5483
  - 5484
  - 5485
  - 5486
  - 5488
  scipy.stats._continuous_distns.jf_skew_t_gen._pdf:
  - 5448
  - 5446
  - 5447
  scipy.stats._continuous_distns.jf_skew_t_gen._ppf:
  - 5464
  - 5462
  - 5463
  scipy.stats._continuous_distns.jf_skew_t_gen._rvs:
  - 5452
  - 5453
  - 5454
  scipy.stats._continuous_distns.jf_skew_t_gen._shape_info:
  - 5441
  - 5442
  scipy.stats._continuous_distns.johnsonsb_gen:
  - 5503
  scipy.stats._continuous_distns.johnsonsb_gen._cdf:
  - 5546
  scipy.stats._continuous_distns.johnsonsb_gen._isf:
  - 5555
  scipy.stats._continuous_distns.johnsonsb_gen._pdf:
  - 5542
  scipy.stats._continuous_distns.johnsonsb_gen._ppf:
  - 5549
  scipy.stats._continuous_distns.johnsonsb_gen._sf:
  - 5552
  scipy.stats._continuous_distns.johnsonsb_gen._shape_info:
  - 5536
  - 5537
  scipy.stats._continuous_distns.johnsonsu_gen:
  - 5562
  scipy.stats._continuous_distns.johnsonsu_gen._cdf:
  - 5613
  scipy.stats._continuous_distns.johnsonsu_gen._isf:
  - 5622
  scipy.stats._continuous_distns.johnsonsu_gen._pdf:
  - 5609
  - 5610
  scipy.stats._continuous_distns.johnsonsu_gen._ppf:
  - 5616
  scipy.stats._continuous_distns.johnsonsu_gen._sf:
  - 5619
  scipy.stats._continuous_distns.johnsonsu_gen._shape_info:
  - 5601
  - 5602
  scipy.stats._continuous_distns.johnsonsu_gen._stats:
  - 5634
  - 5635
  - 5636
  - 5637
  - 5638
  - 5639
  - 5640
  - 5641
  - 5642
  - 5644
  - 5646
  - 5647
  - 5649
  - 5631
  scipy.stats._continuous_distns.kappa3_gen:
  - 7101
  scipy.stats._continuous_distns.kappa3_gen._isf:
  - 7163
  - 7164
  scipy.stats._continuous_distns.kappa3_gen._mom1_sc:
  - 7172
  - 7174
  scipy.stats._continuous_distns.kappa3_gen._sf:
  - 7144
  - 7145
  - 7152
  scipy.stats._continuous_distns.kappa3_gen._shape_info:
  - 7134
  scipy.stats._continuous_distns.kappa3_gen._stats:
  - 7168
  scipy.stats._continuous_distns.kappa4_gen:
  - 6827
  scipy.stats._continuous_distns.kappa4_gen._argcheck:
  - 6916
  - 6917
  scipy.stats._continuous_distns.kappa4_gen._cdf:
  - 7009
  scipy.stats._continuous_distns.kappa4_gen._get_stats_info:
  - 7073
  - 7083
  scipy.stats._continuous_distns.kappa4_gen._get_stats_info.f0:
  - 7078
  scipy.stats._continuous_distns.kappa4_gen._get_stats_info.f1:
  - 7081
  scipy.stats._continuous_distns.kappa4_gen._get_support:
  - 6946
  - 6925
  - 6926
  - 6927
  - 6928
  - 6929
  - 6930
  - 6959
  scipy.stats._continuous_distns.kappa4_gen._get_support.f0:
  - 6933
  scipy.stats._continuous_distns.kappa4_gen._get_support.f1:
  - 6936
  - 6955
  scipy.stats._continuous_distns.kappa4_gen._get_support.f3:
  - 6939
  scipy.stats._continuous_distns.kappa4_gen._logcdf:
  - 7041
  - 7012
  - 7013
  - 7014
  - 7015
  scipy.stats._continuous_distns.kappa4_gen._logcdf.f0:
  - 7018
  - 7021
  scipy.stats._continuous_distns.kappa4_gen._logcdf.f1:
  - 7024
  scipy.stats._continuous_distns.kappa4_gen._logcdf.f2:
  - 7033
  - 7030
  scipy.stats._continuous_distns.kappa4_gen._logcdf.f3:
  - 7036
  - 7039
  scipy.stats._continuous_distns.kappa4_gen._logpdf:
  - 6971
  - 7003
  - 6972
  - 6973
  - 6974
  scipy.stats._continuous_distns.kappa4_gen._logpdf.f0:
  - 6977
  - 6981
  - 6982
  scipy.stats._continuous_distns.kappa4_gen._logpdf.f1:
  - 6985
  - 6989
  scipy.stats._continuous_distns.kappa4_gen._logpdf.f2:
  - 6992
  - 6995
  scipy.stats._continuous_distns.kappa4_gen._logpdf.f3:
  - 7001
  - 6998
  scipy.stats._continuous_distns.kappa4_gen._mom1_sc:
  - 7091
  - 7092
  - 7094
  scipy.stats._continuous_distns.kappa4_gen._pdf:
  - 6968
  scipy.stats._continuous_distns.kappa4_gen._ppf:
  - 7047
  - 7048
  - 7049
  - 7050
  - 7066
  scipy.stats._continuous_distns.kappa4_gen._ppf.f1:
  - 7056
  scipy.stats._continuous_distns.kappa4_gen._ppf.f2:
  - 7059
  - 7061
  scipy.stats._continuous_distns.kappa4_gen._ppf.f3:
  - 7064
  scipy.stats._continuous_distns.kappa4_gen._shape_info:
  - 6920
  - 6921
  scipy.stats._continuous_distns.kappa4_gen._stats:
  - 7086
  - 7087
  scipy.stats._continuous_distns.ksone_gen:
  - 103
  scipy.stats._continuous_distns.ksone_gen._argcheck:
  - 141
  scipy.stats._continuous_distns.ksone_gen._cdf:
  - 150
  scipy.stats._continuous_distns.ksone_gen._isf:
  - 159
  scipy.stats._continuous_distns.ksone_gen._pdf:
  - 147
  scipy.stats._continuous_distns.ksone_gen._ppf:
  - 156
  scipy.stats._continuous_distns.ksone_gen._sf:
  - 153
  scipy.stats._continuous_distns.ksone_gen._shape_info:
  - 144
  scipy.stats._continuous_distns.kstwo_gen:
  - 166
  scipy.stats._continuous_distns.kstwo_gen._argcheck:
  - 203
  scipy.stats._continuous_distns.kstwo_gen._cdf:
  - 216
  scipy.stats._continuous_distns.kstwo_gen._get_support:
  - 209
  scipy.stats._continuous_distns.kstwo_gen._isf:
  - 225
  scipy.stats._continuous_distns.kstwo_gen._pdf:
  - 213
  scipy.stats._continuous_distns.kstwo_gen._ppf:
  - 222
  scipy.stats._continuous_distns.kstwo_gen._sf:
  - 219
  scipy.stats._continuous_distns.kstwo_gen._shape_info:
  - 206
  scipy.stats._continuous_distns.kstwobign_gen:
  - 233
  scipy.stats._continuous_distns.kstwobign_gen._cdf:
  - 276
  scipy.stats._continuous_distns.kstwobign_gen._isf:
  - 285
  scipy.stats._continuous_distns.kstwobign_gen._pdf:
  - 273
  scipy.stats._continuous_distns.kstwobign_gen._ppf:
  - 282
  scipy.stats._continuous_distns.kstwobign_gen._sf:
  - 279
  scipy.stats._continuous_distns.laplace_asymmetric_gen:
  - 5733
  scipy.stats._continuous_distns.laplace_asymmetric_gen._cdf:
  - 5792
  - 5793
  - 5791
  scipy.stats._continuous_distns.laplace_asymmetric_gen._entropy:
  - 5825
  scipy.stats._continuous_distns.laplace_asymmetric_gen._isf:
  - 5812
  - 5813
  - 5814
  scipy.stats._continuous_distns.laplace_asymmetric_gen._logpdf:
  - 5784
  - 5785
  scipy.stats._continuous_distns.laplace_asymmetric_gen._pdf:
  - 5780
  scipy.stats._continuous_distns.laplace_asymmetric_gen._ppf:
  - 5805
  - 5806
  - 5807
  scipy.stats._continuous_distns.laplace_asymmetric_gen._sf:
  - 5800
  - 5798
  - 5799
  scipy.stats._continuous_distns.laplace_asymmetric_gen._shape_info:
  - 5777
  scipy.stats._continuous_distns.laplace_asymmetric_gen._stats:
  - 5820
  - 5821
  scipy.stats._continuous_distns.laplace_gen:
  - 5658
  - 5709
  scipy.stats._continuous_distns.laplace_gen._cdf:
  - 5688
  - 5689
  scipy.stats._continuous_distns.laplace_gen._entropy:
  - 5706
  scipy.stats._continuous_distns.laplace_gen._isf:
  - 5700
  scipy.stats._continuous_distns.laplace_gen._pdf:
  - 5685
  scipy.stats._continuous_distns.laplace_gen._ppf:
  - 5696
  scipy.stats._continuous_distns.laplace_gen._rvs:
  - 5681
  scipy.stats._continuous_distns.laplace_gen._sf:
  - 5693
  scipy.stats._continuous_distns.laplace_gen.fit:
  - 5714
  - 5720
  - 5721
  - 5723
  - 5724
  scipy.stats._continuous_distns.levy_gen:
  - 5881
  scipy.stats._continuous_distns.levy_gen._cdf:
  - 5964
  scipy.stats._continuous_distns.levy_gen._isf:
  - 5975
  scipy.stats._continuous_distns.levy_gen._pdf:
  - 5960
  scipy.stats._continuous_distns.levy_gen._ppf:
  - 5971
  scipy.stats._continuous_distns.levy_gen._sf:
  - 5967
  scipy.stats._continuous_distns.levy_l_gen:
  - 5985
  scipy.stats._continuous_distns.levy_l_gen._cdf:
  - 6067
  - 6068
  scipy.stats._continuous_distns.levy_l_gen._isf:
  - 6079
  scipy.stats._continuous_distns.levy_l_gen._pdf:
  - 6064
  - 6063
  scipy.stats._continuous_distns.levy_l_gen._ppf:
  - 6075
  scipy.stats._continuous_distns.levy_l_gen._sf:
  - 6072
  - 6071
  scipy.stats._continuous_distns.loggamma_gen:
  - 6208
  scipy.stats._continuous_distns.loggamma_gen._cdf:
  - 6272
  - 6273
  - 6271
  scipy.stats._continuous_distns.loggamma_gen._cdf.<lambda1>:
  - 6272
  scipy.stats._continuous_distns.loggamma_gen._cdf.<lambda2>:
  - 6273
  scipy.stats._continuous_distns.loggamma_gen._entropy:
  - 6317
  scipy.stats._continuous_distns.loggamma_gen._entropy.asymptotic:
  - 6313
  - 6314
  scipy.stats._continuous_distns.loggamma_gen._entropy.regular:
  - 6308
  scipy.stats._continuous_distns.loggamma_gen._isf:
  - 6292
  - 6293
  - 6294
  - 6295
  scipy.stats._continuous_distns.loggamma_gen._isf.<lambda1>:
  - 6294
  scipy.stats._continuous_distns.loggamma_gen._isf.<lambda2>:
  - 6295
  scipy.stats._continuous_distns.loggamma_gen._logpdf:
  - 6254
  scipy.stats._continuous_distns.loggamma_gen._pdf:
  - 6251
  scipy.stats._continuous_distns.loggamma_gen._ppf:
  - 6280
  - 6281
  - 6278
  - 6279
  scipy.stats._continuous_distns.loggamma_gen._ppf.<lambda1>:
  - 6280
  scipy.stats._continuous_distns.loggamma_gen._ppf.<lambda2>:
  - 6281
  scipy.stats._continuous_distns.loggamma_gen._rvs:
  - 6246
  - 6247
  scipy.stats._continuous_distns.loggamma_gen._sf:
  - 6285
  - 6286
  - 6287
  scipy.stats._continuous_distns.loggamma_gen._sf.<lambda1>:
  - 6286
  scipy.stats._continuous_distns.loggamma_gen._sf.<lambda2>:
  - 6287
  scipy.stats._continuous_distns.loggamma_gen._shape_info:
  - 6233
  scipy.stats._continuous_distns.loggamma_gen._stats:
  - 6300
  - 6301
  - 6302
  - 6303
  scipy.stats._continuous_distns.logistic_gen:
  - 6152
  - 6089
  scipy.stats._continuous_distns.logistic_gen._cdf:
  - 6127
  scipy.stats._continuous_distns.logistic_gen._isf:
  - 6142
  scipy.stats._continuous_distns.logistic_gen._logcdf:
  - 6130
  scipy.stats._continuous_distns.logistic_gen._logpdf:
  - 6123
  - 6124
  scipy.stats._continuous_distns.logistic_gen._logsf:
  - 6139
  scipy.stats._continuous_distns.logistic_gen._pdf:
  - 6120
  scipy.stats._continuous_distns.logistic_gen._ppf:
  - 6133
  scipy.stats._continuous_distns.logistic_gen._rvs:
  - 6116
  scipy.stats._continuous_distns.logistic_gen._sf:
  - 6136
  scipy.stats._continuous_distns.logistic_gen.fit:
  - 6183
  - 6184
  - 6154
  - 6155
  - 6187
  - 6157
  - 6188
  - 6159
  - 6192
  - 6162
  - 6164
  - 6199
  - 6201
  scipy.stats._continuous_distns.logistic_gen.fit.dl_dloc:
  - 6173
  scipy.stats._continuous_distns.logistic_gen.fit.dl_dscale:
  - 6177
  scipy.stats._continuous_distns.logistic_gen.fit.func:
  - 6181
  scipy.stats._continuous_distns.loglaplace_gen:
  - 6388
  - 6325
  scipy.stats._continuous_distns.loglaplace_gen._cdf:
  - 6368
  scipy.stats._continuous_distns.loglaplace_gen._entropy:
  - 6385
  scipy.stats._continuous_distns.loglaplace_gen._isf:
  - 6377
  scipy.stats._continuous_distns.loglaplace_gen._munp:
  - 6380
  - 6382
  scipy.stats._continuous_distns.loglaplace_gen._pdf:
  - 6364
  scipy.stats._continuous_distns.loglaplace_gen._ppf:
  - 6374
  scipy.stats._continuous_distns.loglaplace_gen._sf:
  - 6371
  scipy.stats._continuous_distns.loglaplace_gen._shape_info:
  - 6358
  scipy.stats._continuous_distns.loglaplace_gen.fit:
  - 6402
  - 6411
  - 6412
  - 6416
  - 6390
  - 6394
  - 6395
  - 6398
  scipy.stats._continuous_distns.lognorm_gen:
  - 6519
  - 6431
  scipy.stats._continuous_distns.lognorm_gen._cdf:
  - 6490
  scipy.stats._continuous_distns.lognorm_gen._entropy:
  - 6516
  scipy.stats._continuous_distns.lognorm_gen._isf:
  - 6505
  scipy.stats._continuous_distns.lognorm_gen._logcdf:
  - 6493
  scipy.stats._continuous_distns.lognorm_gen._logpdf:
  - 6487
  scipy.stats._continuous_distns.lognorm_gen._logsf:
  - 6502
  scipy.stats._continuous_distns.lognorm_gen._pdf:
  - 6484
  scipy.stats._continuous_distns.lognorm_gen._ppf:
  - 6496
  scipy.stats._continuous_distns.lognorm_gen._rvs:
  - 6480
  scipy.stats._continuous_distns.lognorm_gen._sf:
  - 6499
  scipy.stats._continuous_distns.lognorm_gen._shape_info:
  - 6477
  scipy.stats._continuous_distns.lognorm_gen._stats:
  - 6512
  - 6508
  - 6509
  - 6511
  scipy.stats._continuous_distns.lognorm_gen.fit:
  - 6536
  - 6537
  - 6539
  - 6541
  - 6563
  - 6566
  - 6573
  - 6574
  - 6578
  - 6581
  - 6588
  - 6593
  - 6594
  - 6596
  - 6597
  - 6599
  - 6603
  - 6604
  - 6607
  - 6608
  - 6609
  - 6614
  - 6618
  - 6622
  - 6623
  - 6624
  scipy.stats._continuous_distns.lognorm_gen.fit.dL_dLoc:
  - 6554
  - 6556
  scipy.stats._continuous_distns.lognorm_gen.fit.get_shape_scale:
  - 6546
  - 6547
  - 6548
  - 6549
  scipy.stats._continuous_distns.lognorm_gen.fit.ll:
  - 6560
  - 6561
  scipy.stats._continuous_distns.lomax_gen:
  - 7943
  scipy.stats._continuous_distns.lomax_gen._cdf:
  - 7977
  scipy.stats._continuous_distns.lomax_gen._entropy:
  - 7996
  scipy.stats._continuous_distns.lomax_gen._logpdf:
  - 7974
  scipy.stats._continuous_distns.lomax_gen._logsf:
  - 7983
  scipy.stats._continuous_distns.lomax_gen._ppf:
  - 7986
  scipy.stats._continuous_distns.lomax_gen._sf:
  - 7980
  scipy.stats._continuous_distns.lomax_gen._shape_info:
  - 7967
  scipy.stats._continuous_distns.lomax_gen._stats:
  - 7992
  scipy.stats._continuous_distns.maxwell_gen:
  - 6694
  scipy.stats._continuous_distns.maxwell_gen._cdf:
  - 6736
  scipy.stats._continuous_distns.maxwell_gen._entropy:
  - 6755
  scipy.stats._continuous_distns.maxwell_gen._isf:
  - 6745
  scipy.stats._continuous_distns.maxwell_gen._logpdf:
  - 6732
  - 6733
  scipy.stats._continuous_distns.maxwell_gen._pdf:
  - 6728
  scipy.stats._continuous_distns.maxwell_gen._ppf:
  - 6739
  scipy.stats._continuous_distns.maxwell_gen._rvs:
  - 6724
  scipy.stats._continuous_distns.maxwell_gen._sf:
  - 6742
  scipy.stats._continuous_distns.maxwell_gen._stats:
  - 6749
  - 6751
  scipy.stats._continuous_distns.mielke_gen:
  - 6762
  scipy.stats._continuous_distns.mielke_gen._logpdf:
  - 6805
  - 6806
  scipy.stats._continuous_distns.mielke_gen._munp:
  - 6820
  scipy.stats._continuous_distns.mielke_gen._munp.nth_moment:
  - 6818
  scipy.stats._continuous_distns.mielke_gen._ppf:
  - 6812
  - 6813
  scipy.stats._continuous_distns.mielke_gen._shape_info:
  - 6796
  - 6797
  scipy.stats._continuous_distns.moyal_gen:
  - 7181
  scipy.stats._continuous_distns.moyal_gen._cdf:
  - 7235
  scipy.stats._continuous_distns.moyal_gen._munp:
  - 7269
  - 7251
  - 7252
  - 7253
  - 7254
  - 7255
  - 7256
  - 7257
  - 7258
  - 7260
  - 7261
  - 7262
  - 7263
  scipy.stats._continuous_distns.moyal_gen._pdf:
  - 7232
  scipy.stats._continuous_distns.moyal_gen._ppf:
  - 7241
  scipy.stats._continuous_distns.moyal_gen._rvs:
  - 7227
  - 7229
  scipy.stats._continuous_distns.moyal_gen._sf:
  - 7238
  scipy.stats._continuous_distns.moyal_gen._stats:
  - 7244
  - 7246
  scipy.stats._continuous_distns.nakagami_gen:
  - 7276
  scipy.stats._continuous_distns.nakagami_gen._cdf:
  - 7323
  scipy.stats._continuous_distns.nakagami_gen._entropy:
  - 7343
  - 7345
  - 7346
  - 7347
  - 7348
  - 7351
  - 7357
  scipy.stats._continuous_distns.nakagami_gen._fitstart:
  - 7364
  - 7365
  - 7366
  - 7370
  - 7371
  scipy.stats._continuous_distns.nakagami_gen._isf:
  - 7332
  scipy.stats._continuous_distns.nakagami_gen._logpdf:
  - 7320
  - 7319
  scipy.stats._continuous_distns.nakagami_gen._pdf:
  - 7314
  scipy.stats._continuous_distns.nakagami_gen._ppf:
  - 7326
  scipy.stats._continuous_distns.nakagami_gen._rvs:
  - 7361
  scipy.stats._continuous_distns.nakagami_gen._sf:
  - 7329
  scipy.stats._continuous_distns.nakagami_gen._shape_info:
  - 7311
  scipy.stats._continuous_distns.nakagami_gen._stats:
  - 7337
  - 7335
  scipy.stats._continuous_distns.ncf_gen:
  - 7482
  scipy.stats._continuous_distns.ncf_gen._cdf:
  - 7544
  scipy.stats._continuous_distns.ncf_gen._isf:
  - 7554
  - 7555
  scipy.stats._continuous_distns.ncf_gen._munp:
  - 7560
  - 7561
  - 7559
  scipy.stats._continuous_distns.ncf_gen._pdf:
  - 7541
  scipy.stats._continuous_distns.ncf_gen._ppf:
  - 7547
  - 7548
  scipy.stats._continuous_distns.ncf_gen._rvs:
  - 7532
  scipy.stats._continuous_distns.ncf_gen._sf:
  - 7551
  scipy.stats._continuous_distns.ncf_gen._shape_info:
  - 7528
  - 7526
  - 7527
  scipy.stats._continuous_distns.ncf_gen._stats:
  - 7568
  - 7565
  - 7566
  - 7567
  scipy.stats._continuous_distns.nct_gen:
  - 7698
  scipy.stats._continuous_distns.nct_gen._cdf:
  - 7755
  - 7756
  scipy.stats._continuous_distns.nct_gen._isf:
  - 7768
  - 7767
  scipy.stats._continuous_distns.nct_gen._pdf:
  - 7744
  - 7745
  - 7747
  - 7748
  - 7749
  - 7750
  - 7752
  - 7742
  - 7743
  scipy.stats._continuous_distns.nct_gen._ppf:
  - 7760
  - 7759
  scipy.stats._continuous_distns.nct_gen._rvs:
  - 7731
  - 7732
  - 7733
  scipy.stats._continuous_distns.nct_gen._sf:
  - 7763
  - 7764
  scipy.stats._continuous_distns.nct_gen._shape_info:
  - 7726
  - 7727
  scipy.stats._continuous_distns.nct_gen._stats:
  - 7771
  - 7772
  - 7773
  - 7774
  scipy.stats._continuous_distns.ncx2_gen:
  - 7396
  scipy.stats._continuous_distns.ncx2_gen._argcheck:
  - 7424
  scipy.stats._continuous_distns.ncx2_gen._cdf:
  - 7448
  - 7449
  - 7446
  - 7447
  scipy.stats._continuous_distns.ncx2_gen._cdf.<lambda1>:
  - 7449
  scipy.stats._continuous_distns.ncx2_gen._isf:
  - 7464
  - 7465
  - 7466
  - 7467
  scipy.stats._continuous_distns.ncx2_gen._isf.<lambda1>:
  - 7467
  scipy.stats._continuous_distns.ncx2_gen._logpdf:
  - 7435
  - 7436
  - 7437
  scipy.stats._continuous_distns.ncx2_gen._logpdf.<lambda1>:
  - 7437
  scipy.stats._continuous_distns.ncx2_gen._pdf:
  - 7440
  - 7441
  - 7442
  - 7443
  scipy.stats._continuous_distns.ncx2_gen._pdf.<lambda1>:
  - 7443
  scipy.stats._continuous_distns.ncx2_gen._ppf:
  - 7452
  - 7453
  - 7454
  - 7455
  scipy.stats._continuous_distns.ncx2_gen._ppf.<lambda1>:
  - 7455
  scipy.stats._continuous_distns.ncx2_gen._rvs:
  - 7432
  scipy.stats._continuous_distns.ncx2_gen._sf:
  - 7458
  - 7459
  - 7460
  - 7461
  scipy.stats._continuous_distns.ncx2_gen._sf.<lambda1>:
  - 7461
  scipy.stats._continuous_distns.ncx2_gen._shape_info:
  - 7427
  - 7428
  scipy.stats._continuous_distns.ncx2_gen._stats:
  - 7472
  - 7473
  - 7474
  - 7471
  scipy.stats._continuous_distns.norm_gen:
  - 393
  - 333
  scipy.stats._continuous_distns.norm_gen._cdf:
  - 369
  scipy.stats._continuous_distns.norm_gen._entropy:
  - 390
  scipy.stats._continuous_distns.norm_gen._isf:
  - 384
  scipy.stats._continuous_distns.norm_gen._logcdf:
  - 372
  scipy.stats._continuous_distns.norm_gen._logpdf:
  - 366
  scipy.stats._continuous_distns.norm_gen._logsf:
  - 378
  scipy.stats._continuous_distns.norm_gen._munp:
  - 436
  - 437
  - 431
  scipy.stats._continuous_distns.norm_gen._pdf:
  - 363
  scipy.stats._continuous_distns.norm_gen._ppf:
  - 381
  scipy.stats._continuous_distns.norm_gen._rvs:
  - 359
  scipy.stats._continuous_distns.norm_gen._sf:
  - 375
  scipy.stats._continuous_distns.norm_gen.fit:
  - 418
  - 419
  - 423
  - 424
  - 401
  - 402
  - 404
  - 406
  - 413
  - 415
  scipy.stats._continuous_distns.norminvgauss_gen:
  - 5184
  scipy.stats._continuous_distns.norminvgauss_gen._argcheck:
  - 5240
  scipy.stats._continuous_distns.norminvgauss_gen._fitstart:
  - 5250
  scipy.stats._continuous_distns.norminvgauss_gen._isf:
  - 5305
  - 5306
  - 5309
  - 5310
  - 5311
  scipy.stats._continuous_distns.norminvgauss_gen._isf._isf_scalar:
  - 5281
  - 5282
  - 5283
  - 5286
  - 5290
  - 5298
  - 5301
  scipy.stats._continuous_distns.norminvgauss_gen._isf._isf_scalar.eq:
  - 5276
  scipy.stats._continuous_distns.norminvgauss_gen._pdf:
  - 5256
  - 5253
  - 5255
  scipy.stats._continuous_distns.norminvgauss_gen._rvs:
  - 5316
  - 5317
  - 5318
  scipy.stats._continuous_distns.norminvgauss_gen._sf:
  - 5259
  - 5261
  - 5263
  - 5264
  - 5266
  - 5267
  - 5269
  scipy.stats._continuous_distns.norminvgauss_gen._shape_info:
  - 5243
  - 5244
  scipy.stats._continuous_distns.norminvgauss_gen._stats:
  - 5322
  - 5325
  scipy.stats._continuous_distns.pareto_gen:
  - 7853
  - 7782
  scipy.stats._continuous_distns.pareto_gen._entropy:
  - 7850
  scipy.stats._continuous_distns.pareto_gen._isf:
  - 7820
  scipy.stats._continuous_distns.pareto_gen._ppf:
  - 7814
  scipy.stats._continuous_distns.pareto_gen._shape_info:
  - 7804
  scipy.stats._continuous_distns.pareto_gen._stats:
  - 7824
  - 7826
  - 7827
  - 7828
  - 7829
  - 7831
  - 7832
  - 7833
  - 7834
  - 7836
  - 7837
  - 7838
  - 7839
  - 7840
  - 7842
  - 7843
  - 7844
  - 7845
  - 7846
  scipy.stats._continuous_distns.pareto_gen.fit:
  - 7906
  - 7910
  - 7911
  - 7913
  - 7914
  - 7934
  - 7855
  - 7922
  - 7923
  - 7860
  - 7924
  - 7927
  - 7928
  - 7929
  - 7901
  - 7870
  - 7935
  scipy.stats._continuous_distns.pareto_gen.fit.dL_dLocation:
  - 7884
  scipy.stats._continuous_distns.pareto_gen.fit.fun_to_solve:
  - 7889
  - 7890
  - 7891
  scipy.stats._continuous_distns.pareto_gen.fit.get_shape:
  - 7868
  scipy.stats._continuous_distns.pareto_gen.fit.interval_contains_root:
  - 7896
  - 7895
  scipy.stats._continuous_distns.pearson3_gen:
  - 8186
  - 8003
  scipy.stats._continuous_distns.pearson3_gen._argcheck:
  - 8081
  scipy.stats._continuous_distns.pearson3_gen._cdf:
  - 8128
  - 8132
  - 8138
  - 8141
  - 8123
  - 8125
  - 8127
  scipy.stats._continuous_distns.pearson3_gen._logpdf:
  - 8113
  - 8115
  - 8118
  scipy.stats._continuous_distns.pearson3_gen._pdf:
  - 8098
  - 8099
  - 8100
  - 8103
  scipy.stats._continuous_distns.pearson3_gen._ppf:
  - 8178
  - 8179
  - 8182
  scipy.stats._continuous_distns.pearson3_gen._preprocess:
  - 8066
  - 8062
  - 8063
  scipy.stats._continuous_distns.pearson3_gen._rvs:
  - 8163
  - 8165
  - 8167
  - 8169
  - 8170
  - 8172
  scipy.stats._continuous_distns.pearson3_gen._sf:
  - 8147
  - 8149
  - 8151
  - 8152
  - 8154
  - 8156
  - 8158
  scipy.stats._continuous_distns.pearson3_gen._shape_info:
  - 8084
  scipy.stats._continuous_distns.pearson3_gen.fit:
  - 8195
  - 8190
  scipy.stats._continuous_distns.powerlaw_gen:
  - 8202
  - 8270
  scipy.stats._continuous_distns.powerlaw_gen._entropy:
  - 8263
  scipy.stats._continuous_distns.powerlaw_gen._logcdf:
  - 8248
  scipy.stats._continuous_distns.powerlaw_gen._logpdf:
  - 8242
  scipy.stats._continuous_distns.powerlaw_gen._ppf:
  - 8251
  scipy.stats._continuous_distns.powerlaw_gen._sf:
  - 8254
  scipy.stats._continuous_distns.powerlaw_gen._shape_info:
  - 8235
  scipy.stats._continuous_distns.powerlaw_gen._stats:
  - 8259
  - 8260
  scipy.stats._continuous_distns.powerlaw_gen._support_mask:
  - 8266
  scipy.stats._continuous_distns.powerlaw_gen.fit:
  - 8323
  - 8324
  - 8326
  - 8329
  - 8330
  - 8459
  - 8460
  - 8333
  - 8461
  - 8462
  - 8465
  - 8466
  - 8468
  - 8469
  - 8471
  - 8473
  - 8476
  - 8352
  - 8353
  - 8357
  - 8359
  - 8360
  - 8361
  - 8364
  - 8365
  - 8366
  - 8368
  - 8375
  - 8376
  - 8377
  - 8309
  - 8310
  - 8312
  - 8313
  - 8315
  - 8317
  - 8318
  scipy.stats._continuous_distns.powerlaw_gen.fit.dL_dLocation:
  - 8406
  scipy.stats._continuous_distns.powerlaw_gen.fit.dL_dLocation_star:
  - 8411
  - 8412
  - 8413
  scipy.stats._continuous_distns.powerlaw_gen.fit.fit_loc_scale_w_shape_gt_1:
  - 8448
  - 8451
  - 8453
  - 8454
  - 8455
  - 8426
  - 8430
  - 8431
  - 8432
  - 8446
  scipy.stats._continuous_distns.powerlaw_gen.fit.fit_loc_scale_w_shape_gt_1.interval_contains_root:
  - 8437
  - 8438
  scipy.stats._continuous_distns.powerlaw_gen.fit.fit_loc_scale_w_shape_lt_1:
  - 8384
  - 8385
  - 8386
  - 8387
  - 8388
  scipy.stats._continuous_distns.powerlaw_gen.fit.fun_to_solve:
  - 8418
  - 8419
  - 8420
  - 8421
  scipy.stats._continuous_distns.powerlaw_gen.fit.get_scale:
  - 8348
  scipy.stats._continuous_distns.powerlaw_gen.fit.get_shape:
  - 8341
  - 8342
  scipy.stats._continuous_distns.powerlognorm_gen:
  - 8483
  scipy.stats._continuous_distns.powerlognorm_gen._cdf:
  - 8522
  scipy.stats._continuous_distns.powerlognorm_gen._isf:
  - 8534
  scipy.stats._continuous_distns.powerlognorm_gen._logpdf:
  - 8517
  - 8518
  - 8519
  scipy.stats._continuous_distns.powerlognorm_gen._logsf:
  - 8531
  scipy.stats._continuous_distns.powerlognorm_gen._pdf:
  - 8514
  scipy.stats._continuous_distns.powerlognorm_gen._ppf:
  - 8525
  scipy.stats._continuous_distns.powerlognorm_gen._sf:
  - 8528
  scipy.stats._continuous_distns.powerlognorm_gen._shape_info:
  - 8509
  - 8510
  scipy.stats._continuous_distns.powernorm_gen:
  - 8541
  scipy.stats._continuous_distns.powernorm_gen._cdf:
  - 8579
  scipy.stats._continuous_distns.powernorm_gen._isf:
  - 8591
  scipy.stats._continuous_distns.powernorm_gen._logpdf:
  - 8576
  scipy.stats._continuous_distns.powernorm_gen._logsf:
  - 8588
  scipy.stats._continuous_distns.powernorm_gen._pdf:
  - 8573
  scipy.stats._continuous_distns.powernorm_gen._ppf:
  - 8582
  scipy.stats._continuous_distns.powernorm_gen._sf:
  - 8585
  scipy.stats._continuous_distns.powernorm_gen._shape_info:
  - 8569
  scipy.stats._continuous_distns.rayleigh_gen:
  - 8724
  - 8662
  scipy.stats._continuous_distns.rayleigh_gen._cdf:
  - 8699
  scipy.stats._continuous_distns.rayleigh_gen._entropy:
  - 8721
  scipy.stats._continuous_distns.rayleigh_gen._isf:
  - 8711
  scipy.stats._continuous_distns.rayleigh_gen._logpdf:
  - 8696
  scipy.stats._continuous_distns.rayleigh_gen._pdf:
  - 8693
  scipy.stats._continuous_distns.rayleigh_gen._ppf:
  - 8702
  scipy.stats._continuous_distns.rayleigh_gen._rvs:
  - 8689
  scipy.stats._continuous_distns.rayleigh_gen._sf:
  - 8705
  scipy.stats._continuous_distns.rayleigh_gen._stats:
  - 8715
  - 8717
  scipy.stats._continuous_distns.rayleigh_gen.fit:
  - 8769
  - 8772
  - 8773
  - 8774
  - 8775
  - 8766
  - 8778
  - 8767
  - 8758
  - 8760
  - 8763
  - 8733
  - 8734
  - 8735
  scipy.stats._continuous_distns.rayleigh_gen.fit.loc_mle:
  - 8747
  - 8748
  - 8749
  - 8750
  scipy.stats._continuous_distns.rayleigh_gen.fit.loc_mle_scale_fixed:
  - 8756
  scipy.stats._continuous_distns.rayleigh_gen.fit.scale_mle:
  - 8741
  scipy.stats._continuous_distns.rdist_gen:
  - 8598
  scipy.stats._continuous_distns.rdist_gen._cdf:
  - 8642
  scipy.stats._continuous_distns.rdist_gen._logpdf:
  - 8639
  scipy.stats._continuous_distns.rdist_gen._munp:
  - 8654
  - 8655
  scipy.stats._continuous_distns.rdist_gen._pdf:
  - 8636
  scipy.stats._continuous_distns.rdist_gen._ppf:
  - 8648
  scipy.stats._continuous_distns.rdist_gen._rvs:
  - 8651
  scipy.stats._continuous_distns.rdist_gen._sf:
  - 8645
  scipy.stats._continuous_distns.rdist_gen._shape_info:
  - 8632
  scipy.stats._continuous_distns.recipinvgauss_gen:
  - 8960
  scipy.stats._continuous_distns.recipinvgauss_gen._cdf:
  - 9000
  - 8999
  scipy.stats._continuous_distns.recipinvgauss_gen._logpdf:
  - 8992
  - 8991
  scipy.stats._continuous_distns.recipinvgauss_gen._logpdf.<lambda1>:
  - 8993
  scipy.stats._continuous_distns.recipinvgauss_gen._pdf:
  - 8988
  scipy.stats._continuous_distns.recipinvgauss_gen._rvs:
  - 9009
  scipy.stats._continuous_distns.recipinvgauss_gen._sf:
  - 9005
  - 9006
  scipy.stats._continuous_distns.recipinvgauss_gen._shape_info:
  - 8983
  scipy.stats._continuous_distns.reciprocal_gen:
  - 8786
  - 8879
  scipy.stats._continuous_distns.reciprocal_gen._cdf:
  - 8862
  scipy.stats._continuous_distns.reciprocal_gen._entropy:
  - 8873
  scipy.stats._continuous_distns.reciprocal_gen._fitstart:
  - 8849
  - 8846
  - 8847
  scipy.stats._continuous_distns.reciprocal_gen._logpdf:
  - 8859
  scipy.stats._continuous_distns.reciprocal_gen._munp:
  - 8868
  - 8869
  scipy.stats._continuous_distns.reciprocal_gen._pdf:
  - 8856
  scipy.stats._continuous_distns.reciprocal_gen._ppf:
  - 8865
  scipy.stats._continuous_distns.reciprocal_gen._shape_info:
  - 8841
  - 8842
  scipy.stats._continuous_distns.reciprocal_gen.fit:
  - 8881
  - 8882
  scipy.stats._continuous_distns.rel_breitwigner_gen:
  - 11852
  - 11743
  scipy.stats._continuous_distns.rel_breitwigner_gen._cdf:
  - 11820
  - 11822
  - 11823
  - 11825
  - 11827
  scipy.stats._continuous_distns.rel_breitwigner_gen._munp:
  - 11841
  - 11842
  - 11830
  - 11832
  - 11833
  - 11835
  - 11836
  - 11838
  - 11839
  scipy.stats._continuous_distns.rel_breitwigner_gen._pdf:
  - 11812
  - 11813
  - 11815
  scipy.stats._continuous_distns.rel_breitwigner_gen._shape_info:
  - 11808
  scipy.stats._continuous_distns.rel_breitwigner_gen.fit:
  - 11873
  - 11876
  - 11878
  - 11881
  - 11883
  - 11885
  - 11855
  - 11859
  - 11860
  - 11861
  - 11867
  - 11868
  - 11870
  scipy.stats._continuous_distns.rice_gen:
  - 8894
  scipy.stats._continuous_distns.rice_gen._cdf:
  - 8934
  scipy.stats._continuous_distns.rice_gen._munp:
  - 8952
  - 8953
  scipy.stats._continuous_distns.rice_gen._pdf:
  - 8946
  scipy.stats._continuous_distns.rice_gen._ppf:
  - 8937
  scipy.stats._continuous_distns.rice_gen._rvs:
  - 8930
  - 8931
  scipy.stats._continuous_distns.rice_gen._shape_info:
  - 8926
  scipy.stats._continuous_distns.rv_histogram:
  - 11357
  scipy.stats._continuous_distns.rv_histogram.__init__:
  - 11489
  - 11490
  - 11491
  - 11492
  - 11496
  - 11471
  - 11473
  - 11474
  - 11475
  - 11480
  - 11481
  - 11451
  - 11484
  - 11486
  scipy.stats._continuous_distns.rv_histogram._cdf:
  - 11505
  - 11508
  scipy.stats._continuous_distns.rv_histogram._entropy:
  - 11522
  - 11523
  - 11527
  scipy.stats._continuous_distns.rv_histogram._munp:
  - 11517
  - 11519
  scipy.stats._continuous_distns.rv_histogram._pdf:
  - 11499
  - 11502
  scipy.stats._continuous_distns.rv_histogram._ppf:
  - 11514
  - 11511
  scipy.stats._continuous_distns.rv_histogram._updated_ctor_param:
  - 11530
  - 11533
  scipy.stats._continuous_distns.semicircular_gen:
  - 9016
  scipy.stats._continuous_distns.semicircular_gen._cdf:
  - 9056
  scipy.stats._continuous_distns.semicircular_gen._logpdf:
  - 9053
  scipy.stats._continuous_distns.semicircular_gen._pdf:
  - 9050
  scipy.stats._continuous_distns.semicircular_gen._ppf:
  - 9059
  scipy.stats._continuous_distns.semicircular_gen._rvs:
  - 9064
  - 9065
  scipy.stats._continuous_distns.skewcauchy_gen:
  - 9079
  scipy.stats._continuous_distns.skewcauchy_gen._argcheck:
  - 9113
  scipy.stats._continuous_distns.skewcauchy_gen._cdf:
  - 9122
  - 9123
  - 9124
  scipy.stats._continuous_distns.skewcauchy_gen._fitstart:
  - 9139
  - 9140
  - 9141
  scipy.stats._continuous_distns.skewcauchy_gen._pdf:
  - 9119
  scipy.stats._continuous_distns.skewcauchy_gen._ppf:
  - 9128
  - 9129
  - 9130
  - 9127
  scipy.stats._continuous_distns.skewcauchy_gen._shape_info:
  - 9116
  scipy.stats._continuous_distns.skewnorm_gen:
  - 9283
  - 9149
  scipy.stats._continuous_distns.skewnorm_gen._argcheck:
  - 9175
  scipy.stats._continuous_distns.skewnorm_gen._cdf:
  - 9193
  - 9194
  - 9196
  - 9199
  - 9200
  scipy.stats._continuous_distns.skewnorm_gen._isf:
  - 9211
  scipy.stats._continuous_distns.skewnorm_gen._logpdf:
  - 9187
  - 9188
  - 9189
  scipy.stats._continuous_distns.skewnorm_gen._logpdf.<lambda1>:
  - 9188
  scipy.stats._continuous_distns.skewnorm_gen._logpdf.<lambda2>:
  - 9189
  scipy.stats._continuous_distns.skewnorm_gen._munp:
  - 9281
  - 9264
  - 9265
  - 9271
  - 9272
  scipy.stats._continuous_distns.skewnorm_gen._pdf:
  - 9181
  - 9182
  - 9183
  scipy.stats._continuous_distns.skewnorm_gen._pdf.<lambda1>:
  - 9182
  scipy.stats._continuous_distns.skewnorm_gen._pdf.<lambda2>:
  - 9183
  scipy.stats._continuous_distns.skewnorm_gen._ppf:
  - 9203
  scipy.stats._continuous_distns.skewnorm_gen._rvs:
  - 9216
  - 9217
  - 9218
  - 9214
  - 9215
  scipy.stats._continuous_distns.skewnorm_gen._sf:
  - 9208
  scipy.stats._continuous_distns.skewnorm_gen._shape_info:
  - 9178
  scipy.stats._continuous_distns.skewnorm_gen._skewnorm_odd_moments:
  - 9248
  - 9249
  - 9250
  - 9252
  - 9254
  - 9257
  - 9244
  - 9245
  - 9246
  - 9247
  scipy.stats._continuous_distns.skewnorm_gen._stats:
  - 9222
  - 9224
  - 9226
  - 9228
  - 9229
  - 9230
  scipy.stats._continuous_distns.skewnorm_gen.fit:
  - 9346
  - 9348
  - 9349
  - 9350
  - 9351
  - 9354
  - 9355
  - 9356
  - 9357
  - 9360
  - 9365
  - 9296
  - 9297
  - 9298
  - 9299
  - 9300
  - 9302
  - 9306
  - 9308
  - 9323
  - 9326
  - 9327
  - 9328
  - 9330
  - 9333
  - 9334
  - 9337
  - 9339
  - 9340
  - 9341
  - 9342
  - 9343
  scipy.stats._continuous_distns.skewnorm_gen.fit.d_skew:
  - 9316
  - 9317
  scipy.stats._continuous_distns.skewnorm_gen.fit.skew_d:
  - 9313
  scipy.stats._continuous_distns.studentized_range_gen:
  - 11540
  scipy.stats._continuous_distns.studentized_range_gen._cdf:
  - 11732
  - 11735
  scipy.stats._continuous_distns.studentized_range_gen._cdf._single_cdf:
  - 11715
  - 11717
  - 11719
  - 11725
  - 11728
  - 11729
  - 11730
  scipy.stats._continuous_distns.studentized_range_gen._fitstart:
  - 11660
  scipy.stats._continuous_distns.studentized_range_gen._munp:
  - 11664
  - 11681
  - 11680
  scipy.stats._continuous_distns.studentized_range_gen._munp._single_moment:
  - 11669
  - 11671
  - 11673
  - 11676
  - 11678
  scipy.stats._continuous_distns.studentized_range_gen._pdf:
  - 11705
  - 11706
  scipy.stats._continuous_distns.studentized_range_gen._pdf._single_pdf:
  - 11688
  - 11690
  - 11692
  - 11698
  - 11701
  - 11702
  - 11703
  scipy.stats._continuous_distns.studentized_range_gen._shape_info:
  - 11654
  - 11655
  scipy.stats._continuous_distns.t_gen:
  - 7577
  scipy.stats._continuous_distns.t_gen._cdf:
  - 7635
  scipy.stats._continuous_distns.t_gen._entropy:
  - 7673
  - 7674
  - 7690
  scipy.stats._continuous_distns.t_gen._entropy.asymptotic:
  - 7686
  scipy.stats._continuous_distns.t_gen._entropy.regular:
  - 7680
  - 7679
  scipy.stats._continuous_distns.t_gen._isf:
  - 7644
  scipy.stats._continuous_distns.t_gen._logpdf:
  - 7632
  scipy.stats._continuous_distns.t_gen._logpdf.norm_logpdf:
  - 7630
  scipy.stats._continuous_distns.t_gen._logpdf.t_logpdf:
  - 7625
  - 7626
  - 7627
  scipy.stats._continuous_distns.t_gen._pdf:
  - 7616
  - 7617
  - 7614
  scipy.stats._continuous_distns.t_gen._pdf.<lambda1>:
  - 7616
  scipy.stats._continuous_distns.t_gen._pdf.<lambda2>:
  - 7618
  scipy.stats._continuous_distns.t_gen._ppf:
  - 7641
  scipy.stats._continuous_distns.t_gen._rvs:
  - 7611
  scipy.stats._continuous_distns.t_gen._sf:
  - 7638
  scipy.stats._continuous_distns.t_gen._shape_info:
  - 7608
  scipy.stats._continuous_distns.t_gen._stats:
  - 7648
  - 7650
  - 7653
  - 7655
  - 7656
  - 7657
  - 7658
  - 7660
  - 7663
  - 7665
  - 7666
  - 7667
  - 7668
  scipy.stats._continuous_distns.t_gen._stats.<lambda1>:
  - 7655
  scipy.stats._continuous_distns.t_gen._stats.<lambda3>:
  - 7657
  scipy.stats._continuous_distns.t_gen._stats.<lambda4>:
  - 7665
  scipy.stats._continuous_distns.t_gen._stats.<lambda6>:
  - 7667
  scipy.stats._continuous_distns.trapezoid_gen:
  - 9372
  scipy.stats._continuous_distns.trapezoid_gen._cdf:
  - 9425
  - 9428
  - 9429
  - 9430
  scipy.stats._continuous_distns.trapezoid_gen._entropy:
  - 9474
  scipy.stats._continuous_distns.trapezoid_gen._munp:
  - 9458
  - 9460
  - 9461
  - 9462
  scipy.stats._continuous_distns.trapezoid_gen._munp.<lambda2>:
  - 9461
  scipy.stats._continuous_distns.trapezoid_gen._pdf:
  - 9416
  - 9419
  - 9420
  - 9421
  scipy.stats._continuous_distns.trapezoid_gen._ppf:
  - 9440
  - 9435
  - 9437
  - 9439
  scipy.stats._continuous_distns.trapezoid_gen._shape_info:
  - 9409
  - 9410
  scipy.stats._continuous_distns.triang_gen:
  - 9486
  scipy.stats._continuous_distns.triang_gen._cdf:
  - 9538
  - 9539
  - 9540
  - 9541
  - 9534
  scipy.stats._continuous_distns.triang_gen._entropy:
  - 9555
  scipy.stats._continuous_distns.triang_gen._pdf:
  - 9522
  - 9526
  - 9527
  - 9528
  - 9529
  scipy.stats._continuous_distns.triang_gen._ppf:
  - 9546
  scipy.stats._continuous_distns.triang_gen._rvs:
  - 9508
  scipy.stats._continuous_distns.triang_gen._shape_info:
  - 9514
  scipy.stats._continuous_distns.triang_gen._stats:
  - 9551
  scipy.stats._continuous_distns.truncexpon_gen:
  - 9562
  scipy.stats._continuous_distns.truncexpon_gen._cdf:
  - 9597
  scipy.stats._continuous_distns.truncexpon_gen._entropy:
  - 9620
  - 9621
  scipy.stats._continuous_distns.truncexpon_gen._isf:
  - 9606
  scipy.stats._continuous_distns.truncexpon_gen._logpdf:
  - 9594
  scipy.stats._continuous_distns.truncexpon_gen._munp:
  - 9611
  - 9612
  - 9613
  - 9614
  - 9617
  scipy.stats._continuous_distns.truncexpon_gen._pdf:
  - 9591
  scipy.stats._continuous_distns.truncexpon_gen._ppf:
  - 9600
  scipy.stats._continuous_distns.truncexpon_gen._sf:
  - 9603
  scipy.stats._continuous_distns.truncexpon_gen._shape_info:
  - 9584
  scipy.stats._continuous_distns.truncnorm_gen:
  - 9678
  scipy.stats._continuous_distns.truncnorm_gen._cdf:
  - 9766
  scipy.stats._continuous_distns.truncnorm_gen._entropy:
  - 9792
  - 9788
  - 9789
  - 9791
  scipy.stats._continuous_distns.truncnorm_gen._fitstart:
  - 9752
  - 9753
  - 9754
  scipy.stats._continuous_distns.truncnorm_gen._isf:
  - 9826
  - 9841
  - 9846
  - 9847
  - 9848
  - 9849
  scipy.stats._continuous_distns.truncnorm_gen._isf.isf_left:
  - 9832
  - 9833
  - 9834
  scipy.stats._continuous_distns.truncnorm_gen._isf.isf_right:
  - 9837
  - 9838
  - 9839
  scipy.stats._continuous_distns.truncnorm_gen._logcdf:
  - 9769
  - 9770
  - 9772
  - 9773
  scipy.stats._continuous_distns.truncnorm_gen._logpdf:
  - 9763
  scipy.stats._continuous_distns.truncnorm_gen._logsf:
  - 9784
  - 9780
  - 9781
  - 9783
  scipy.stats._continuous_distns.truncnorm_gen._munp:
  - 9873
  - 9874
  scipy.stats._continuous_distns.truncnorm_gen._munp.n_th_moment:
  - 9859
  - 9862
  - 9867
  - 9868
  - 9869
  - 9870
  - 9855
  scipy.stats._continuous_distns.truncnorm_gen._pdf:
  - 9760
  scipy.stats._continuous_distns.truncnorm_gen._ppf:
  - 9797
  - 9812
  - 9817
  - 9818
  - 9819
  - 9820
  scipy.stats._continuous_distns.truncnorm_gen._ppf.ppf_left:
  - 9803
  - 9804
  - 9805
  scipy.stats._continuous_distns.truncnorm_gen._ppf.ppf_right:
  - 9808
  - 9809
  - 9810
  scipy.stats._continuous_distns.truncnorm_gen._sf:
  - 9777
  scipy.stats._continuous_distns.truncnorm_gen._shape_info:
  - 9746
  - 9747
  scipy.stats._continuous_distns.truncnorm_gen._stats:
  - 9906
  - 9908
  - 9878
  scipy.stats._continuous_distns.truncnorm_gen._stats._truncnorm_stats_scalar:
  - 9888
  - 9892
  - 9893
  - 9895
  - 9896
  - 9898
  - 9901
  - 9885
  - 9887
  scipy.stats._continuous_distns.truncpareto_gen:
  - 10009
  - 9915
  scipy.stats._continuous_distns.truncpareto_gen._entropy:
  - 9992
  - 9993
  scipy.stats._continuous_distns.truncpareto_gen._fitstart:
  - 10002
  - 10003
  - 10004
  - 10005
  scipy.stats._continuous_distns.truncpareto_gen._isf:
  - 9989
  scipy.stats._continuous_distns.truncpareto_gen._logcdf:
  - 9977
  scipy.stats._continuous_distns.truncpareto_gen._logpdf:
  - 9971
  scipy.stats._continuous_distns.truncpareto_gen._logsf:
  - 9986
  scipy.stats._continuous_distns.truncpareto_gen._munp:
  - 9996
  - 9997
  scipy.stats._continuous_distns.truncpareto_gen._ppf:
  - 9980
  scipy.stats._continuous_distns.truncpareto_gen._shape_info:
  - 9957
  - 9958
  scipy.stats._continuous_distns.truncpareto_gen.fit:
  - 10112
  - 10114
  - 10115
  - 10116
  - 10120
  - 10121
  - 10122
  - 10123
  - 10132
  - 10133
  - 10136
  - 10137
  - 10138
  - 10011
  - 10012
  - 10140
  - 10141
  - 10143
  - 10144
  - 10152
  - 10153
  - 10154
  - 10160
  - 10167
  - 10168
  - 10177
  - 10179
  - 10180
  - 10182
  - 10183
  - 10186
  - 10188
  - 10063
  - 10191
  - 10065
  - 10066
  - 10192
  - 10068
  - 10074
  - 10075
  - 10203
  - 10204
  - 10205
  - 10207
  - 10208
  - 10209
  - 10210
  - 10211
  - 10085
  - 10213
  - 10214
  - 10217
  - 10090
  - 10092
  - 10093
  - 10094
  - 10095
  - 10096
  - 10097
  - 10222
  - 10223
  - 10224
  - 10225
  - 10105
  - 10107
  - 10108
  - 10109
  - 10110
  - 10111
  scipy.stats._continuous_distns.truncpareto_gen.fit.cond_b:
  - 10080
  - 10081
  - 10078
  - 10079
  scipy.stats._continuous_distns.truncpareto_gen.fit.dL_dB:
  - 10057
  scipy.stats._continuous_distns.truncpareto_gen.fit.dL_dLoc:
  - 10048
  - 10049
  - 10050
  - 10047
  scipy.stats._continuous_distns.truncpareto_gen.fit.fallback:
  - 10061
  scipy.stats._continuous_distns.truncpareto_gen.fit.get_b:
  - 10025
  - 10022
  - 10023
  scipy.stats._continuous_distns.truncpareto_gen.fit.get_loc:
  - 10034
  - 10031
  scipy.stats._continuous_distns.truncpareto_gen.fit.harm_mean:
  - 10018
  scipy.stats._continuous_distns.truncpareto_gen.fit.log_mean:
  - 10015
  scipy.stats._continuous_distns.truncweibull_min_gen:
  - 2626
  scipy.stats._continuous_distns.truncweibull_min_gen._cdf:
  - 2696
  - 2695
  scipy.stats._continuous_distns.truncweibull_min_gen._fitstart:
  - 2681
  scipy.stats._continuous_distns.truncweibull_min_gen._isf:
  - 2715
  - 2716
  scipy.stats._continuous_distns.truncweibull_min_gen._logcdf:
  - 2700
  - 2701
  scipy.stats._continuous_distns.truncweibull_min_gen._logpdf:
  - 2691
  - 2692
  scipy.stats._continuous_distns.truncweibull_min_gen._logsf:
  - 2710
  - 2711
  scipy.stats._continuous_distns.truncweibull_min_gen._munp:
  - 2728
  - 2725
  - 2726
  scipy.stats._continuous_distns.truncweibull_min_gen._pdf:
  - 2688
  - 2687
  scipy.stats._continuous_distns.truncweibull_min_gen._ppf:
  - 2720
  - 2721
  scipy.stats._continuous_distns.truncweibull_min_gen._sf:
  - 2705
  - 2706
  scipy.stats._continuous_distns.truncweibull_min_gen._shape_info:
  - 2674
  - 2675
  - 2676
  scipy.stats._continuous_distns.tukeylambda_gen:
  - 10235
  scipy.stats._continuous_distns.tukeylambda_gen._argcheck:
  - 10258
  scipy.stats._continuous_distns.tukeylambda_gen._cdf:
  - 10270
  scipy.stats._continuous_distns.tukeylambda_gen._entropy:
  - 10281
  scipy.stats._continuous_distns.tukeylambda_gen._entropy.integ:
  - 10280
  scipy.stats._continuous_distns.tukeylambda_gen._pdf:
  - 10264
  - 10265
  - 10266
  - 10267
  scipy.stats._continuous_distns.tukeylambda_gen._ppf:
  - 10273
  scipy.stats._continuous_distns.tukeylambda_gen._shape_info:
  - 10261
  scipy.stats._continuous_distns.tukeylambda_gen._stats:
  - 10276
  scipy.stats._continuous_distns.uniform_gen:
  - 10298
  scipy.stats._continuous_distns.uniform_gen._rvs:
  - 10313
  scipy.stats._continuous_distns.uniform_gen.fit:
  - 10466
  - 10467
  - 10405
  - 10408
  - 10409
  - 10472
  - 10411
  - 10413
  - 10477
  - 10418
  - 10420
  - 10452
  - 10454
  - 10456
  - 10457
  - 10332
  - 10461
  - 10462
  scipy.stats._continuous_distns.vonmises_gen:
  - 10636
  - 10585
  - 10619
  - 10484
  scipy.stats._continuous_distns.vonmises_gen._cdf:
  - 10602
  scipy.stats._continuous_distns.vonmises_gen._entropy:
  - 10616
  - 10617
  scipy.stats._continuous_distns.vonmises_gen._logpdf:
  - 10599
  scipy.stats._continuous_distns.vonmises_gen._pdf:
  - 10595
  scipy.stats._continuous_distns.vonmises_gen._rvs:
  - 10583
  scipy.stats._continuous_distns.vonmises_gen._shape_info:
  - 10580
  scipy.stats._continuous_distns.vonmises_gen.expect:
  - 10632
  - 10627
  - 10629
  scipy.stats._continuous_distns.vonmises_gen.fit:
  - 10689
  - 10691
  - 10642
  - 10643
  - 10645
  - 10647
  - 10649
  - 10652
  - 10687
  scipy.stats._continuous_distns.vonmises_gen.fit.find_kappa:
  - 10664
  - 10667
  - 10671
  - 10672
  - 10684
  scipy.stats._continuous_distns.vonmises_gen.fit.find_kappa.solve_for_kappa:
  - 10669
  scipy.stats._continuous_distns.vonmises_gen.fit.find_mu:
  - 10655
  scipy.stats._continuous_distns.vonmises_gen.rvs:
  - 10587
  - 10588
  scipy.stats._continuous_distns.wald_gen:
  - 10700
  scipy.stats._continuous_distns.wald_gen._cdf:
  - 10733
  scipy.stats._continuous_distns.wald_gen._entropy:
  - 10757
  scipy.stats._continuous_distns.wald_gen._isf:
  - 10742
  scipy.stats._continuous_distns.wald_gen._logcdf:
  - 10748
  scipy.stats._continuous_distns.wald_gen._logpdf:
  - 10745
  scipy.stats._continuous_distns.wald_gen._logsf:
  - 10751
  scipy.stats._continuous_distns.wald_gen._pdf:
  - 10730
  scipy.stats._continuous_distns.wald_gen._ppf:
  - 10739
  scipy.stats._continuous_distns.wald_gen._rvs:
  - 10726
  scipy.stats._continuous_distns.wald_gen._sf:
  - 10736
  scipy.stats._continuous_distns.weibull_max_gen:
  - 2736
  scipy.stats._continuous_distns.weibull_max_gen._cdf:
  - 2783
  scipy.stats._continuous_distns.weibull_max_gen._entropy:
  - 2803
  scipy.stats._continuous_distns.weibull_max_gen._logcdf:
  - 2786
  scipy.stats._continuous_distns.weibull_max_gen._logpdf:
  - 2780
  scipy.stats._continuous_distns.weibull_max_gen._munp:
  - 2795
  - 2796
  scipy.stats._continuous_distns.weibull_max_gen._pdf:
  - 2777
  scipy.stats._continuous_distns.weibull_max_gen._ppf:
  - 2792
  scipy.stats._continuous_distns.weibull_max_gen._sf:
  - 2789
  scipy.stats._continuous_distns.weibull_max_gen._shape_info:
  - 2773
  scipy.stats._continuous_distns.weibull_min_gen:
  - 2537
  - 2462
  scipy.stats._continuous_distns.weibull_min_gen._cdf:
  - 2517
  scipy.stats._continuous_distns.weibull_min_gen._entropy:
  - 2535
  scipy.stats._continuous_distns.weibull_min_gen._isf:
  - 2529
  scipy.stats._continuous_distns.weibull_min_gen._logpdf:
  - 2514
  scipy.stats._continuous_distns.weibull_min_gen._logsf:
  - 2526
  scipy.stats._continuous_distns.weibull_min_gen._munp:
  - 2532
  scipy.stats._continuous_distns.weibull_min_gen._pdf:
  - 2511
  scipy.stats._continuous_distns.weibull_min_gen._ppf:
  - 2520
  scipy.stats._continuous_distns.weibull_min_gen._sf:
  - 2523
  scipy.stats._continuous_distns.weibull_min_gen._shape_info:
  - 2507
  scipy.stats._continuous_distns.weibull_min_gen.fit:
  - 2560
  - 2575
  - 2577
  - 2578
  - 2579
  - 2583
  - 2586
  - 2587
  - 2588
  - 2590
  - 2597
  - 2599
  - 2602
  - 2603
  - 2604
  - 2605
  - 2608
  - 2609
  - 2610
  - 2611
  - 2614
  - 2619
  - 2547
  - 2548
  - 2549
  - 2551
  - 2553
  - 2554
  - 2558
  scipy.stats._continuous_distns.weibull_min_gen.fit.<lambda1>:
  - 2597
  scipy.stats._continuous_distns.weibull_min_gen.fit.skew:
  - 2565
  - 2566
  - 2567
  scipy.stats._continuous_distns.wrapcauchy_gen:
  - 10764
  scipy.stats._continuous_distns.wrapcauchy_gen._cdf:
  - 10806
  scipy.stats._continuous_distns.wrapcauchy_gen._cdf.f1:
  - 10799
  scipy.stats._continuous_distns.wrapcauchy_gen._cdf.f2:
  - 10803
  scipy.stats._continuous_distns.wrapcauchy_gen._entropy:
  - 10815
  scipy.stats._continuous_distns.wrapcauchy_gen._fitstart:
  - 10821
  - 10822
  - 10823
  scipy.stats._continuous_distns.wrapcauchy_gen._pdf:
  - 10793
  scipy.stats._continuous_distns.wrapcauchy_gen._ppf:
  - 10810
  - 10811
  - 10812
  scipy.stats._continuous_distns.wrapcauchy_gen._shape_info:
  - 10789
  scipy.stats._covariance.CovViaCholesky.__init__:
  - 539
  - 542
  scipy.stats._covariance.CovViaCholesky._whiten:
  - 552
  scipy.stats._covariance.CovViaDiagonal.__init__:
  - 512
  - 515
  - 517
  - 518
  - 504
  - 507
  - 510
  scipy.stats._covariance.CovViaDiagonal._colorize:
  - 527
  scipy.stats._covariance.CovViaDiagonal._support_mask:
  - 530
  - 533
  scipy.stats._covariance.CovViaDiagonal._whiten:
  - 524
  scipy.stats._covariance.CovViaEigendecomposition.__init__:
  - 576
  - 579
  - 581
  - 585
  - 586
  - 593
  - 563
  - 564
  - 568
  - 569
  scipy.stats._covariance.CovViaEigendecomposition._support_mask:
  - 610
  - 607
  scipy.stats._covariance.CovViaPSD:
  - 616
  scipy.stats._covariance.CovViaPSD._support_mask:
  - 633
  scipy.stats._covariance.CovViaPrecision.__init__:
  - 466
  - 467
  - 468
  - 470
  - 473
  - 474
  scipy.stats._covariance.CovViaPrecision._colorize:
  - 491
  scipy.stats._covariance.CovViaPrecision._covariance:
  - 487
  scipy.stats._covariance.Covariance:
  - 12
  scipy.stats._covariance.Covariance._validate_matrix:
  - 444
  - 446
  - 447
  scipy.stats._covariance.Covariance._validate_vector:
  - 456
  - 454
  - 455
  scipy.stats._covariance.Covariance.colorize:
  - 365
  - 413
  scipy.stats._covariance.Covariance.covariance:
  - 431
  scipy.stats._covariance.Covariance.from_cholesky:
  - 245
  - 191
  scipy.stats._covariance.Covariance.from_diagonal:
  - 67
  - 124
  scipy.stats._covariance.Covariance.from_eigendecomposition:
  - 249
  - 311
  scipy.stats._covariance.Covariance.from_precision:
  - 128
  - 187
  scipy.stats._covariance.Covariance.log_pdet:
  - 417
  - 420
  scipy.stats._covariance.Covariance.rank:
  - 424
  - 427
  scipy.stats._covariance.Covariance.shape:
  - 438
  scipy.stats._covariance.Covariance.whiten:
  - 314
  - 362
  scipy.stats._covariance._dot_diag:
  - 498
  scipy.stats._crosstab:
  - 6
  scipy.stats._crosstab.crosstab:
  - 12
  - 155
  - 156
  - 159
  - 160
  - 163
  - 167
  - 169
  - 173
  - 177
  - 178
  - 179
  - 181
  - 182
  - 183
  - 186
  - 187
  - 188
  - 190
  - 192
  - 193
  - 195
  - 196
  - 198
  - 200
  - 201
  - 202
  - 204
  scipy.stats._discrete_distns:
  - 1668
  - 261
  - 917
  - 1943
  - 1436
  - 1949
  - 1950
  - 544
  - 1060
  - 1319
  - 176
  - 1586
  - 695
  - 1860
  - 469
  - 857
  - 986
  - 1249
  - 1126
  - 108
  - 1519
  - 373
  scipy.stats._discrete_distns._gen_harmonic:
  - 1344
  - 1342
  - 1343
  scipy.stats._discrete_distns._gen_harmonic_gt1:
  - 1323
  - 1325
  scipy.stats._discrete_distns._gen_harmonic_leq1:
  - 1329
  - 1330
  - 1332
  - 1333
  - 1335
  scipy.stats._discrete_distns._isintegral:
  - 25
  scipy.stats._discrete_distns._nchypergeom_gen:
  - 1710
  scipy.stats._discrete_distns._nchypergeom_gen._argcheck:
  - 1733
  - 1734
  - 1735
  - 1736
  - 1737
  scipy.stats._discrete_distns._nchypergeom_gen._get_support:
  - 1728
  - 1729
  scipy.stats._discrete_distns._nchypergeom_gen._pmf:
  - 1760
  - 1767
  - 1758
  - 1759
  scipy.stats._discrete_distns._nchypergeom_gen._pmf._pmf1:
  - 1764
  - 1765
  scipy.stats._discrete_distns._nchypergeom_gen._rvs:
  - 1754
  scipy.stats._discrete_distns._nchypergeom_gen._rvs._rvs1:
  - 1747
  - 1748
  - 1749
  - 1750
  - 1751
  scipy.stats._discrete_distns._nchypergeom_gen._shape_info:
  - 1720
  - 1721
  - 1722
  - 1723
  scipy.stats._discrete_distns._nchypergeom_gen._stats:
  - 1776
  scipy.stats._discrete_distns._nchypergeom_gen._stats._moments1:
  - 1773
  - 1774
  scipy.stats._discrete_distns._vectorize_rvs_over_shapes:
  - 1672
  scipy.stats._discrete_distns._vectorize_rvs_over_shapes._rvs:
  - 1696
  - 1697
  - 1699
  - 1702
  - 1705
  - 1681
  - 1683
  - 1684
  - 1685
  - 1687
  - 1688
  - 1690
  - 1695
  scipy.stats._discrete_distns.bernoulli_gen:
  - 112
  scipy.stats._discrete_distns.bernoulli_gen._cdf:
  - 158
  scipy.stats._discrete_distns.bernoulli_gen._entropy:
  - 173
  scipy.stats._discrete_distns.bernoulli_gen._isf:
  - 164
  scipy.stats._discrete_distns.bernoulli_gen._logpmf:
  - 150
  scipy.stats._discrete_distns.bernoulli_gen._pmf:
  - 155
  scipy.stats._discrete_distns.bernoulli_gen._ppf:
  - 167
  scipy.stats._discrete_distns.bernoulli_gen._rvs:
  - 140
  scipy.stats._discrete_distns.bernoulli_gen._sf:
  - 161
  scipy.stats._discrete_distns.bernoulli_gen._shape_info:
  - 137
  scipy.stats._discrete_distns.bernoulli_gen._stats:
  - 170
  scipy.stats._discrete_distns.betabinom_gen:
  - 180
  scipy.stats._discrete_distns.betabinom_gen._argcheck:
  - 228
  scipy.stats._discrete_distns.betabinom_gen._logpmf:
  - 232
  - 233
  - 231
  scipy.stats._discrete_distns.betabinom_gen._pmf:
  - 236
  scipy.stats._discrete_distns.betabinom_gen._rvs:
  - 221
  - 222
  scipy.stats._discrete_distns.betabinom_gen._shape_info:
  - 216
  - 217
  - 218
  scipy.stats._discrete_distns.betabinom_gen._stats:
  - 248
  - 249
  - 244
  - 245
  scipy.stats._discrete_distns.betanbinom_gen:
  - 377
  scipy.stats._discrete_distns.betanbinom_gen._argcheck:
  - 423
  scipy.stats._discrete_distns.betanbinom_gen._logpmf:
  - 426
  - 427
  - 428
  scipy.stats._discrete_distns.betanbinom_gen._pmf:
  - 431
  scipy.stats._discrete_distns.betanbinom_gen._rvs:
  - 419
  - 420
  scipy.stats._discrete_distns.betanbinom_gen._shape_info:
  - 416
  - 414
  - 415
  scipy.stats._discrete_distns.betanbinom_gen._stats:
  - 448
  - 449
  - 464
  - 465
  - 438
  - 442
  scipy.stats._discrete_distns.betanbinom_gen._stats.skew:
  - 446
  scipy.stats._discrete_distns.binom_gen:
  - 29
  scipy.stats._discrete_distns.binom_gen._argcheck:
  - 64
  scipy.stats._discrete_distns.binom_gen._cdf:
  - 80
  - 79
  scipy.stats._discrete_distns.binom_gen._entropy:
  - 104
  - 105
  scipy.stats._discrete_distns.binom_gen._isf:
  - 87
  scipy.stats._discrete_distns.binom_gen._logpmf:
  - 72
  - 70
  - 71
  scipy.stats._discrete_distns.binom_gen._pmf:
  - 76
  scipy.stats._discrete_distns.binom_gen._ppf:
  - 90
  scipy.stats._discrete_distns.binom_gen._rvs:
  - 61
  scipy.stats._discrete_distns.binom_gen._sf:
  - 83
  - 84
  scipy.stats._discrete_distns.binom_gen._shape_info:
  - 57
  - 58
  scipy.stats._discrete_distns.binom_gen._stats:
  - 96
  - 97
  - 98
  - 99
  - 93
  - 94
  scipy.stats._discrete_distns.boltzmann_gen:
  - 1064
  scipy.stats._discrete_distns.boltzmann_gen._argcheck:
  - 1090
  scipy.stats._discrete_distns.boltzmann_gen._cdf:
  - 1102
  - 1103
  scipy.stats._discrete_distns.boltzmann_gen._pmf:
  - 1098
  - 1099
  scipy.stats._discrete_distns.boltzmann_gen._ppf:
  - 1106
  - 1107
  - 1108
  - 1109
  - 1110
  scipy.stats._discrete_distns.boltzmann_gen._shape_info:
  - 1086
  - 1087
  scipy.stats._discrete_distns.boltzmann_gen._stats:
  - 1113
  - 1114
  scipy.stats._discrete_distns.dlaplace_gen:
  - 1440
  scipy.stats._discrete_distns.dlaplace_gen._cdf:
  - 1478
  - 1470
  scipy.stats._discrete_distns.dlaplace_gen._cdf.f:
  - 1473
  scipy.stats._discrete_distns.dlaplace_gen._cdf.f2:
  - 1476
  scipy.stats._discrete_distns.dlaplace_gen._entropy:
  - 1495
  scipy.stats._discrete_distns.dlaplace_gen._pmf:
  - 1467
  scipy.stats._discrete_distns.dlaplace_gen._ppf:
  - 1481
  - 1482
  - 1483
  - 1484
  - 1486
  scipy.stats._discrete_distns.dlaplace_gen._rvs:
  - 1513
  - 1514
  - 1515
  scipy.stats._discrete_distns.dlaplace_gen._shape_info:
  - 1463
  scipy.stats._discrete_distns.dlaplace_gen._stats:
  - 1489
  scipy.stats._discrete_distns.geom_gen:
  - 473
  scipy.stats._discrete_distns.geom_gen._cdf:
  - 517
  - 518
  scipy.stats._discrete_distns.geom_gen._entropy:
  - 541
  scipy.stats._discrete_distns.geom_gen._logpmf:
  - 514
  scipy.stats._discrete_distns.geom_gen._logsf:
  - 524
  - 525
  scipy.stats._discrete_distns.geom_gen._pmf:
  - 511
  scipy.stats._discrete_distns.geom_gen._ppf:
  - 528
  - 529
  - 530
  scipy.stats._discrete_distns.geom_gen._rvs:
  - 505
  scipy.stats._discrete_distns.geom_gen._sf:
  - 521
  scipy.stats._discrete_distns.geom_gen._shape_info:
  - 502
  scipy.stats._discrete_distns.geom_gen._stats:
  - 536
  - 537
  scipy.stats._discrete_distns.hypergeom_gen:
  - 548
  scipy.stats._discrete_distns.hypergeom_gen._argcheck:
  - 628
  scipy.stats._discrete_distns.hypergeom_gen._cdf:
  - 643
  scipy.stats._discrete_distns.hypergeom_gen._entropy:
  - 664
  - 665
  - 663
  scipy.stats._discrete_distns.hypergeom_gen._get_support:
  - 623
  scipy.stats._discrete_distns.hypergeom_gen._logcdf:
  - 684
  - 685
  - 687
  - 690
  - 691
  - 692
  scipy.stats._discrete_distns.hypergeom_gen._logpmf:
  - 634
  - 635
  - 636
  scipy.stats._discrete_distns.hypergeom_gen._logsf:
  - 672
  - 673
  - 675
  - 678
  - 679
  - 680
  scipy.stats._discrete_distns.hypergeom_gen._pmf:
  - 640
  scipy.stats._discrete_distns.hypergeom_gen._rvs:
  - 620
  scipy.stats._discrete_distns.hypergeom_gen._sf:
  - 668
  scipy.stats._discrete_distns.hypergeom_gen._shape_info:
  - 616
  - 617
  - 615
  scipy.stats._discrete_distns.hypergeom_gen._stats:
  - 656
  - 657
  - 658
  scipy.stats._discrete_distns.logser_gen:
  - 862
  scipy.stats._discrete_distns.logser_gen._pmf:
  - 899
  scipy.stats._discrete_distns.logser_gen._rvs:
  - 892
  scipy.stats._discrete_distns.logser_gen._shape_info:
  - 887
  scipy.stats._discrete_distns.logser_gen._stats:
  - 908
  - 902
  scipy.stats._discrete_distns.nbinom_gen:
  - 265
  scipy.stats._discrete_distns.nbinom_gen._cdf:
  - 334
  - 335
  scipy.stats._discrete_distns.nbinom_gen._isf:
  - 357
  - 358
  scipy.stats._discrete_distns.nbinom_gen._logcdf:
  - 338
  - 339
  - 340
  - 347
  - 348
  - 349
  scipy.stats._discrete_distns.nbinom_gen._logcdf.f1:
  - 343
  scipy.stats._discrete_distns.nbinom_gen._logpmf:
  - 330
  - 331
  scipy.stats._discrete_distns.nbinom_gen._pmf:
  - 327
  scipy.stats._discrete_distns.nbinom_gen._ppf:
  - 361
  - 362
  scipy.stats._discrete_distns.nbinom_gen._rvs:
  - 320
  scipy.stats._discrete_distns.nbinom_gen._sf:
  - 353
  - 354
  scipy.stats._discrete_distns.nbinom_gen._shape_info:
  - 316
  - 317
  scipy.stats._discrete_distns.nbinom_gen._stats:
  - 368
  - 369
  - 366
  - 367
  scipy.stats._discrete_distns.nchypergeom_fisher_gen:
  - 1783
  scipy.stats._discrete_distns.nchypergeom_wallenius_gen:
  - 1866
  scipy.stats._discrete_distns.nhypergeom_gen:
  - 699
  scipy.stats._discrete_distns.nhypergeom_gen._argcheck:
  - 809
  scipy.stats._discrete_distns.nhypergeom_gen._logpmf:
  - 830
  - 831
  scipy.stats._discrete_distns.nhypergeom_gen._logpmf.<lambda1>:
  - 832
  - 833
  - 834
  scipy.stats._discrete_distns.nhypergeom_gen._pmf:
  - 841
  scipy.stats._discrete_distns.nhypergeom_gen._rvs:
  - 826
  scipy.stats._discrete_distns.nhypergeom_gen._rvs._rvs1:
  - 817
  - 818
  - 819
  - 820
  - 821
  - 822
  - 823
  scipy.stats._discrete_distns.nhypergeom_gen._shape_info:
  - 800
  - 801
  - 802
  scipy.stats._discrete_distns.planck_gen:
  - 990
  scipy.stats._discrete_distns.planck_gen._cdf:
  - 1027
  - 1028
  scipy.stats._discrete_distns.planck_gen._entropy:
  - 1056
  - 1057
  scipy.stats._discrete_distns.planck_gen._logsf:
  - 1034
  scipy.stats._discrete_distns.planck_gen._pmf:
  - 1024
  scipy.stats._discrete_distns.planck_gen._ppf:
  - 1040
  - 1041
  - 1038
  - 1039
  scipy.stats._discrete_distns.planck_gen._rvs:
  - 1045
  - 1046
  scipy.stats._discrete_distns.planck_gen._sf:
  - 1031
  scipy.stats._discrete_distns.planck_gen._shape_info:
  - 1018
  scipy.stats._discrete_distns.planck_gen._stats:
  - 1049
  - 1050
  - 1051
  - 1052
  scipy.stats._discrete_distns.poisson_gen:
  - 921
  scipy.stats._discrete_distns.poisson_gen._cdf:
  - 964
  - 965
  scipy.stats._discrete_distns.poisson_gen._logpmf:
  - 956
  scipy.stats._discrete_distns.poisson_gen._pmf:
  - 961
  scipy.stats._discrete_distns.poisson_gen._ppf:
  - 972
  - 973
  - 974
  - 975
  scipy.stats._discrete_distns.poisson_gen._rvs:
  - 953
  scipy.stats._discrete_distns.poisson_gen._sf:
  - 968
  - 969
  scipy.stats._discrete_distns.poisson_gen._shape_info:
  - 946
  scipy.stats._discrete_distns.poisson_gen._stats:
  - 979
  - 981
  - 982
  scipy.stats._discrete_distns.poisson_gen._stats.<lambda1>:
  - 981
  scipy.stats._discrete_distns.randint_gen:
  - 1131
  scipy.stats._discrete_distns.randint_gen._argcheck:
  - 1199
  scipy.stats._discrete_distns.randint_gen._cdf:
  - 1210
  scipy.stats._discrete_distns.randint_gen._entropy:
  - 1246
  scipy.stats._discrete_distns.randint_gen._pmf:
  - 1206
  - 1207
  scipy.stats._discrete_distns.randint_gen._ppf:
  - 1216
  - 1217
  - 1214
  - 1215
  scipy.stats._discrete_distns.randint_gen._rvs:
  - 1229
  - 1230
  - 1232
  - 1234
  - 1239
  - 1240
  - 1241
  - 1242
  - 1243
  scipy.stats._discrete_distns.randint_gen._shape_info:
  - 1195
  - 1196
  scipy.stats._discrete_distns.randint_gen._stats:
  - 1220
  scipy.stats._discrete_distns.skellam_gen:
  - 1524
  scipy.stats._discrete_distns.skellam_gen._cdf:
  - 1571
  - 1572
  - 1573
  - 1574
  - 1575
  scipy.stats._discrete_distns.skellam_gen._pmf:
  - 1563
  - 1564
  - 1565
  - 1566
  scipy.stats._discrete_distns.skellam_gen._rvs:
  - 1560
  - 1559
  scipy.stats._discrete_distns.skellam_gen._shape_info:
  - 1554
  - 1555
  scipy.stats._discrete_distns.skellam_gen._stats:
  - 1581
  scipy.stats._discrete_distns.yulesimon_gen:
  - 1590
  scipy.stats._discrete_distns.yulesimon_gen._cdf:
  - 1642
  scipy.stats._discrete_distns.yulesimon_gen._logpmf:
  - 1639
  scipy.stats._discrete_distns.yulesimon_gen._logsf:
  - 1648
  scipy.stats._discrete_distns.yulesimon_gen._pmf:
  - 1633
  scipy.stats._discrete_distns.yulesimon_gen._rvs:
  - 1627
  - 1628
  - 1629
  scipy.stats._discrete_distns.yulesimon_gen._sf:
  - 1645
  scipy.stats._discrete_distns.yulesimon_gen._shape_info:
  - 1624
  scipy.stats._discrete_distns.yulesimon_gen._stats:
  - 1664
  - 1651
  - 1652
  - 1655
  - 1656
  - 1657
  - 1659
  - 1660
  scipy.stats._discrete_distns.zipf_gen:
  - 1255
  scipy.stats._discrete_distns.zipf_gen._munp:
  - 1313
  - 1315
  scipy.stats._discrete_distns.zipf_gen._munp.<lambda1>:
  - 1315
  scipy.stats._discrete_distns.zipf_gen._pmf:
  - 1309
  scipy.stats._discrete_distns.zipf_gen._rvs:
  - 1302
  scipy.stats._discrete_distns.zipf_gen._shape_info:
  - 1299
  scipy.stats._discrete_distns.zipfian_gen:
  - 1349
  scipy.stats._discrete_distns.zipfian_gen._argcheck:
  - 1401
  scipy.stats._discrete_distns.zipfian_gen._cdf:
  - 1410
  scipy.stats._discrete_distns.zipfian_gen._pmf:
  - 1407
  scipy.stats._discrete_distns.zipfian_gen._sf:
  - 1416
  - 1415
  scipy.stats._discrete_distns.zipfian_gen._shape_info:
  - 1396
  - 1397
  scipy.stats._discrete_distns.zipfian_gen._stats:
  - 1420
  - 1421
  - 1422
  - 1423
  - 1424
  scipy.stats._distn_infrastructure:
  - 225
  - 259
  - 358
  - 359
  - 267
  - 268
  - 141
  - 271
  - 272
  - 274
  - 275
  - 277
  - 280
  - 347
  - 220
  - 351
  scipy.stats._distn_infrastructure._ShapeInfo.__init__:
  - 1570
  - 1571
  - 1572
  - 1573
  - 1574
  scipy.stats._distn_infrastructure._check_shape:
  - 4036
  - 4038
  - 4039
  - 4040
  - 4009
  - 4042
  - 4043
  scipy.stats._distn_infrastructure._drv2_moment:
  - 2977
  - 2981
  - 2982
  scipy.stats._distn_infrastructure._drv2_moment.fun:
  - 2979
  scipy.stats._distn_infrastructure._drv2_ppfsingle:
  - 2986
  - 2989
  - 2990
  - 2992
  - 2995
  - 2996
  - 3002
  - 3003
  - 3005
  - 3008
  - 3009
  - 3014
  - 3017
  - 3019
  - 3021
  - 3022
  - 3026
  - 3027
  - 3028
  - 3029
  - 3034
  - 3035
  scipy.stats._distn_infrastructure._expect:
  - 3808
  - 3811
  - 3813
  - 3837
  - 3818
  - 3820
  - 3822
  - 3824
  - 3825
  - 3830
  - 3832
  - 3834
  - 3803
  - 3836
  - 3805
  - 3806
  - 3807
  scipy.stats._distn_infrastructure._fit_determine_optimizer:
  - 425
  - 428
  - 422
  - 423
  scipy.stats._distn_infrastructure._get_fixed_fit_value:
  - 1587
  - 1586
  - 1579
  scipy.stats._distn_infrastructure._iter_chunked:
  - 3873
  - 3875
  - 3845
  - 3877
  - 3863
  - 3865
  - 3869
  scipy.stats._distn_infrastructure._kurtosis:
  - 416
  - 417
  - 413
  - 414
  - 415
  scipy.stats._distn_infrastructure._moment:
  - 364
  - 365
  - 366
  scipy.stats._distn_infrastructure._moment_from_stats:
  - 384
  - 386
  - 388
  - 389
  - 390
  - 393
  - 396
  - 370
  - 372
  - 373
  - 374
  - 377
  - 378
  - 379
  - 382
  - 383
  scipy.stats._distn_infrastructure._skew:
  - 402
  - 405
  - 406
  - 407
  - 408
  - 409
  scipy.stats._distn_infrastructure._sum_finite:
  - 435
  - 452
  - 453
  - 454
  scipy.stats._distn_infrastructure.argsreduce:
  - 612
  - 613
  - 562
  - 597
  - 601
  - 604
  - 606
  - 607
  scipy.stats._distn_infrastructure.get_distribution_names:
  - 4068
  - 4069
  - 4071
  - 4072
  - 4073
  - 4074
  - 4047
  scipy.stats._distn_infrastructure.rv_continuous:
  - 1605
  scipy.stats._distn_infrastructure.rv_continuous.__getstate__:
  - 1859
  - 1853
  scipy.stats._distn_infrastructure.rv_continuous.__init__:
  - 1824
  - 1830
  - 1833
  - 1835
  - 1836
  - 1806
  - 1809
  - 1842
  - 1844
  - 1845
  - 1814
  - 1816
  - 1849
  - 1850
  - 1822
  scipy.stats._distn_infrastructure.rv_continuous._attach_methods:
  - 1863
  - 1867
  - 1870
  - 1872
  - 1873
  - 1876
  - 1877
  - 1879
  scipy.stats._distn_infrastructure.rv_continuous._cdf:
  - 1958
  scipy.stats._distn_infrastructure.rv_continuous._cdf_single:
  - 1954
  - 1955
  scipy.stats._distn_infrastructure.rv_continuous._delta_cdf:
  - 2952
  - 2961
  - 2966
  - 2967
  - 2968
  - 2969
  - 2970
  scipy.stats._distn_infrastructure.rv_continuous._entropy:
  - 2789
  - 2790
  - 2791
  - 2793
  - 2797
  - 2798
  - 2802
  - 2806
  scipy.stats._distn_infrastructure.rv_continuous._entropy.integ:
  - 2785
  - 2786
  scipy.stats._distn_infrastructure.rv_continuous._fit_loc_scale_support:
  - 2725
  - 2726
  - 2727
  - 2743
  - 2698
  - 2702
  - 2704
  - 2737
  - 2707
  - 2710
  - 2711
  - 2680
  - 2745
  - 2716
  scipy.stats._distn_infrastructure.rv_continuous._fitstart:
  - 2368
  - 2369
  - 2371
  scipy.stats._distn_infrastructure.rv_continuous._logpdf:
  - 1944
  - 1945
  - 1943
  scipy.stats._distn_infrastructure.rv_continuous._logpxf:
  - 1951
  scipy.stats._distn_infrastructure.rv_continuous._mom0_sc:
  - 1928
  - 1927
  scipy.stats._distn_infrastructure.rv_continuous._mom1_sc:
  - 1936
  scipy.stats._distn_infrastructure.rv_continuous._mom_integ0:
  - 1924
  scipy.stats._distn_infrastructure.rv_continuous._mom_integ1:
  - 1933
  scipy.stats._distn_infrastructure.rv_continuous._moment_error:
  - 2447
  - 2448
  - 2451
  - 2452
  - 2453
  - 2458
  - 2459
  scipy.stats._distn_infrastructure.rv_continuous._nnlf_and_penalty:
  - 2337
  - 2338
  - 2339
  - 2340
  - 2341
  - 2343
  - 2344
  - 2345
  - 2314
  - 2321
  - 2323
  - 2324
  - 2328
  - 2330
  - 2332
  - 2334
  scipy.stats._distn_infrastructure.rv_continuous._param_info:
  - 2944
  - 2945
  - 2946
  scipy.stats._distn_infrastructure.rv_continuous._pdf:
  - 1939
  scipy.stats._distn_infrastructure.rv_continuous._penalized_nnlf:
  - 2350
  - 2355
  - 2356
  - 2358
  - 2360
  - 2363
  - 2365
  scipy.stats._distn_infrastructure.rv_continuous._ppf_single:
  - 1904
  - 1906
  - 1907
  - 1908
  - 1913
  - 1914
  - 1915
  - 1919
  scipy.stats._distn_infrastructure.rv_continuous._ppf_to_solve:
  - 1900
  scipy.stats._distn_infrastructure.rv_continuous._reduce_func:
  - 2375
  - 2384
  - 2385
  - 2386
  - 2387
  - 2389
  - 2390
  - 2393
  - 2394
  - 2396
  - 2398
  - 2399
  - 2400
  - 2401
  - 2403
  - 2406
  - 2407
  - 2408
  - 2409
  - 2410
  - 2415
  - 2421
  - 2425
  scipy.stats._distn_infrastructure.rv_continuous._reduce_func.func:
  - 2441
  - 2442
  scipy.stats._distn_infrastructure.rv_continuous._reduce_func.objective:
  - 2413
  scipy.stats._distn_infrastructure.rv_continuous._reduce_func.restore:
  - 2434
  - 2435
  scipy.stats._distn_infrastructure.rv_continuous._unpack_loc_scale:
  - 2308
  scipy.stats._distn_infrastructure.rv_continuous._updated_ctor_param:
  - 1890
  - 1885
  scipy.stats._distn_infrastructure.rv_continuous.cdf:
  - 2080
  - 2081
  - 2082
  - 2066
  - 2067
  - 2068
  - 2069
  - 2070
  - 2071
  - 2072
  - 2073
  - 2074
  - 2077
  - 2076
  - 2045
  - 2078
  - 2079
  scipy.stats._distn_infrastructure.rv_continuous.expect:
  - 2917
  - 2919
  - 2922
  - 2941
  - 2929
  - 2931
  - 2934
  - 2935
  - 2936
  - 2810
  - 2939
  - 2909
  - 2910
  - 2911
  scipy.stats._distn_infrastructure.rv_continuous.expect.fun:
  - 2913
  - 2916
  scipy.stats._distn_infrastructure.rv_continuous.fit:
  - 2462
  - 2612
  - 2614
  - 2615
  - 2616
  - 2619
  - 2625
  - 2626
  - 2632
  - 2634
  - 2635
  - 2639
  - 2642
  - 2644
  - 2645
  - 2647
  - 2648
  - 2650
  - 2652
  - 2659
  - 2660
  - 2662
  - 2663
  - 2664
  - 2666
  - 2667
  - 2671
  - 2672
  scipy.stats._distn_infrastructure.rv_continuous.fit_loc_scale:
  - 2770
  - 2771
  - 2772
  - 2773
  - 2774
  - 2775
  - 2777
  - 2779
  - 2751
  scipy.stats._distn_infrastructure.rv_continuous.isf:
  - 2280
  - 2281
  - 2282
  - 2283
  - 2284
  - 2289
  - 2260
  - 2293
  - 2294
  - 2296
  - 2297
  - 2299
  - 2300
  scipy.stats._distn_infrastructure.rv_continuous.logcdf:
  - 2112
  - 2113
  - 2114
  - 2117
  - 2118
  - 2087
  - 2119
  - 2120
  - 2121
  - 2122
  - 2123
  - 2124
  - 2107
  - 2108
  - 2109
  - 2110
  - 2111
  scipy.stats._distn_infrastructure.rv_continuous.logpdf:
  - 2025
  - 2026
  - 2027
  - 2028
  - 2029
  - 2030
  - 2031
  - 2033
  - 2034
  - 2003
  - 2035
  - 2036
  - 2037
  - 2039
  - 2040
  scipy.stats._distn_infrastructure.rv_continuous.logsf:
  - 2208
  - 2209
  - 2210
  - 2193
  - 2194
  - 2195
  - 2196
  - 2197
  - 2198
  - 2199
  - 2200
  - 2170
  - 2203
  - 2204
  - 2205
  - 2206
  - 2207
  scipy.stats._distn_infrastructure.rv_continuous.pdf:
  - 1984
  - 1985
  - 1986
  - 1987
  - 1988
  - 1989
  - 1990
  - 1992
  - 1993
  - 1994
  - 1995
  - 1964
  - 1997
  - 1998
  scipy.stats._distn_infrastructure.rv_continuous.ppf:
  - 2244
  - 2215
  - 2248
  - 2249
  - 2251
  - 2252
  - 2254
  - 2255
  - 2235
  - 2236
  - 2237
  - 2238
  - 2239
  scipy.stats._distn_infrastructure.rv_continuous.sf:
  - 2149
  - 2150
  - 2151
  - 2152
  - 2153
  - 2154
  - 2155
  - 2156
  - 2159
  - 2160
  - 2129
  - 2161
  - 2162
  - 2163
  - 2164
  - 2165
  scipy.stats._distn_infrastructure.rv_continuous_frozen.logpdf:
  - 558
  scipy.stats._distn_infrastructure.rv_continuous_frozen.pdf:
  - 555
  scipy.stats._distn_infrastructure.rv_discrete:
  - 3049
  scipy.stats._distn_infrastructure.rv_discrete.__getstate__:
  - 3234
  - 3230
  scipy.stats._distn_infrastructure.rv_discrete.__init__:
  - 3202
  - 3205
  - 3210
  - 3219
  - 3222
  - 3226
  - 3227
  scipy.stats._distn_infrastructure.rv_discrete.__new__:
  - 3193
  - 3196
  - 3191
  scipy.stats._distn_infrastructure.rv_discrete._attach_methods:
  - 3238
  - 3239
  - 3240
  - 3243
  - 3247
  - 3249
  - 3252
  - 3254
  scipy.stats._distn_infrastructure.rv_discrete._cdf:
  - 3333
  - 3334
  scipy.stats._distn_infrastructure.rv_discrete._cdf_single:
  - 3328
  - 3329
  - 3330
  scipy.stats._distn_infrastructure.rv_discrete._construct_docstrings:
  - 3265
  - 3266
  - 3272
  - 3274
  - 3275
  - 3279
  - 3280
  - 3283
  - 3260
  scipy.stats._distn_infrastructure.rv_discrete._entropy:
  - 3698
  - 3699
  - 3701
  - 3702
  - 3703
  scipy.stats._distn_infrastructure.rv_discrete._entropy.<lambda1>:
  - 3702
  scipy.stats._distn_infrastructure.rv_discrete._logpmf:
  - 3310
  scipy.stats._distn_infrastructure.rv_discrete._logpxf:
  - 3316
  scipy.stats._distn_infrastructure.rv_discrete._nonzero:
  - 3304
  scipy.stats._distn_infrastructure.rv_discrete._param_info:
  - 3795
  - 3796
  scipy.stats._distn_infrastructure.rv_discrete._pmf:
  - 3307
  scipy.stats._distn_infrastructure.rv_discrete._unpack_loc_scale:
  - 3322
  scipy.stats._distn_infrastructure.rv_discrete._updated_ctor_param:
  - 3288
  - 3293
  scipy.stats._distn_infrastructure.rv_discrete.cdf:
  - 3480
  - 3466
  - 3467
  - 3468
  - 3469
  - 3470
  - 3471
  - 3474
  - 3475
  - 3477
  - 3478
  - 3479
  - 3448
  - 3482
  - 3483
  - 3484
  - 3485
  scipy.stats._distn_infrastructure.rv_discrete.expect:
  - 3776
  - 3780
  - 3781
  - 3785
  - 3786
  - 3790
  - 3759
  - 3791
  - 3707
  - 3772
  - 3771
  scipy.stats._distn_infrastructure.rv_discrete.expect.fun:
  - 3762
  - 3766
  scipy.stats._distn_infrastructure.rv_discrete.isf:
  - 3650
  - 3683
  - 3684
  - 3687
  - 3688
  - 3691
  - 3693
  - 3668
  - 3669
  - 3670
  - 3671
  - 3672
  - 3679
  scipy.stats._distn_infrastructure.rv_discrete.logcdf:
  - 3520
  - 3490
  - 3522
  - 3523
  - 3524
  - 3525
  - 3508
  - 3509
  - 3510
  - 3511
  - 3512
  - 3513
  - 3517
  - 3518
  - 3519
  scipy.stats._distn_infrastructure.rv_discrete.logpmf:
  - 3427
  - 3428
  - 3429
  - 3430
  - 3431
  - 3432
  - 3434
  - 3435
  - 3437
  - 3438
  - 3439
  - 3440
  - 3409
  - 3441
  - 3442
  - 3443
  scipy.stats._distn_infrastructure.rv_discrete.logsf:
  - 3589
  - 3590
  - 3591
  - 3592
  - 3593
  - 3594
  - 3598
  - 3599
  - 3568
  - 3600
  - 3601
  - 3602
  - 3603
  - 3604
  - 3605
  scipy.stats._distn_infrastructure.rv_discrete.pmf:
  - 3392
  - 3393
  - 3394
  - 3396
  - 3397
  - 3399
  - 3400
  - 3401
  - 3402
  - 3371
  - 3403
  - 3404
  - 3389
  - 3390
  - 3391
  scipy.stats._distn_infrastructure.rv_discrete.ppf:
  - 3628
  - 3629
  - 3630
  - 3631
  - 3632
  - 3636
  - 3638
  - 3639
  - 3640
  - 3641
  - 3610
  - 3643
  - 3645
  scipy.stats._distn_infrastructure.rv_discrete.rvs:
  - 3368
  - 3339
  scipy.stats._distn_infrastructure.rv_discrete.sf:
  - 3552
  - 3553
  - 3555
  - 3556
  - 3557
  - 3558
  - 3559
  - 3560
  - 3561
  - 3530
  - 3562
  - 3563
  - 3548
  - 3549
  - 3550
  - 3551
  scipy.stats._distn_infrastructure.rv_discrete_frozen.logpmf:
  - 549
  scipy.stats._distn_infrastructure.rv_discrete_frozen.pmf:
  - 546
  scipy.stats._distn_infrastructure.rv_frozen.__init__:
  - 465
  - 467
  - 468
  scipy.stats._distn_infrastructure.rv_frozen.cdf:
  - 479
  scipy.stats._distn_infrastructure.rv_frozen.entropy:
  - 522
  scipy.stats._distn_infrastructure.rv_frozen.expect:
  - 536
  - 532
  - 533
  - 534
  scipy.stats._distn_infrastructure.rv_frozen.interval:
  - 525
  scipy.stats._distn_infrastructure.rv_frozen.isf:
  - 488
  scipy.stats._distn_infrastructure.rv_frozen.logcdf:
  - 482
  scipy.stats._distn_infrastructure.rv_frozen.logsf:
  - 499
  scipy.stats._distn_infrastructure.rv_frozen.mean:
  - 510
  scipy.stats._distn_infrastructure.rv_frozen.median:
  - 507
  scipy.stats._distn_infrastructure.rv_frozen.moment:
  - 519
  scipy.stats._distn_infrastructure.rv_frozen.ppf:
  - 485
  scipy.stats._distn_infrastructure.rv_frozen.random_state:
  - 476
  scipy.stats._distn_infrastructure.rv_frozen.rvs:
  - 491
  - 492
  - 493
  scipy.stats._distn_infrastructure.rv_frozen.sf:
  - 496
  scipy.stats._distn_infrastructure.rv_frozen.stats:
  - 504
  - 502
  - 503
  scipy.stats._distn_infrastructure.rv_frozen.std:
  - 516
  scipy.stats._distn_infrastructure.rv_frozen.support:
  - 540
  scipy.stats._distn_infrastructure.rv_frozen.var:
  - 513
  scipy.stats._distn_infrastructure.rv_generic:
  - 630
  scipy.stats._distn_infrastructure.rv_generic.__call__:
  - 851
  scipy.stats._distn_infrastructure.rv_generic.__init__:
  - 643
  - 636
  - 639
  scipy.stats._distn_infrastructure.rv_generic.__setstate__:
  - 665
  - 676
  - 670
  scipy.stats._distn_infrastructure.rv_generic._argcheck:
  - 944
  - 952
  - 951
  scipy.stats._distn_infrastructure.rv_generic._argcheck_rvs:
  - 928
  - 929
  - 930
  - 899
  - 903
  - 906
  - 880
  - 881
  - 918
  - 919
  - 921
  scipy.stats._distn_infrastructure.rv_generic._attach_argparser_methods:
  - 688
  - 698
  - 699
  - 696
  scipy.stats._distn_infrastructure.rv_generic._attach_methods:
  - 679
  scipy.stats._distn_infrastructure.rv_generic._construct_argparser:
  - 768
  - 769
  - 777
  - 778
  - 780
  - 703
  - 719
  - 721
  - 724
  - 726
  - 727
  - 729
  - 737
  - 738
  - 741
  - 742
  - 745
  - 748
  - 751
  - 754
  - 757
  - 761
  - 762
  scipy.stats._distn_infrastructure.rv_generic._construct_default_doc:
  - 825
  - 828
  - 822
  - 823
  scipy.stats._distn_infrastructure.rv_generic._construct_doc:
  - 802
  - 804
  - 805
  - 807
  - 808
  - 810
  - 812
  - 783
  - 784
  - 818
  - 788
  - 790
  - 794
  - 797
  scipy.stats._distn_infrastructure.rv_generic._get_support:
  - 956
  scipy.stats._distn_infrastructure.rv_generic._isf:
  - 1013
  scipy.stats._distn_infrastructure.rv_generic._logcdf:
  - 1000
  - 999
  scipy.stats._distn_infrastructure.rv_generic._logsf:
  - 1006
  - 1007
  scipy.stats._distn_infrastructure.rv_generic._munp:
  - 865
  - 866
  scipy.stats._distn_infrastructure.rv_generic._nlff_and_penalty:
  - 1514
  - 1515
  - 1516
  - 1517
  - 1518
  - 1519
  - 1520
  - 1521
  - 1522
  - 1523
  - 1524
  scipy.stats._distn_infrastructure.rv_generic._nnlf:
  - 1510
  scipy.stats._distn_infrastructure.rv_generic._open_support_mask:
  - 984
  - 983
  scipy.stats._distn_infrastructure.rv_generic._penalized_nlpsf:
  - 1539
  - 1544
  - 1545
  - 1547
  - 1561
  scipy.stats._distn_infrastructure.rv_generic._penalized_nlpsf.log_psf:
  - 1550
  - 1551
  - 1552
  - 1553
  - 1554
  - 1556
  - 1559
  scipy.stats._distn_infrastructure.rv_generic._penalized_nnlf:
  - 1536
  - 1527
  - 1531
  - 1532
  - 1534
  - 1535
  scipy.stats._distn_infrastructure.rv_generic._ppf:
  - 1010
  scipy.stats._distn_infrastructure.rv_generic._rvs:
  - 994
  - 995
  scipy.stats._distn_infrastructure.rv_generic._sf:
  - 1003
  scipy.stats._distn_infrastructure.rv_generic._support_mask:
  - 978
  - 979
  scipy.stats._distn_infrastructure.rv_generic.entropy:
  - 1223
  - 1225
  - 1226
  - 1227
  - 1228
  - 1229
  - 1230
  - 1200
  - 1233
  scipy.stats._distn_infrastructure.rv_generic.freeze:
  - 848
  - 845
  - 846
  - 831
  scipy.stats._distn_infrastructure.rv_generic.interval:
  - 1413
  - 1449
  - 1450
  - 1454
  - 1455
  scipy.stats._distn_infrastructure.rv_generic.mean:
  - 1360
  - 1340
  - 1359
  scipy.stats._distn_infrastructure.rv_generic.median:
  - 1337
  - 1314
  scipy.stats._distn_infrastructure.rv_generic.moment:
  - 1280
  - 1281
  - 1283
  - 1285
  - 1287
  - 1290
  - 1291
  - 1292
  - 1294
  - 1298
  - 1301
  - 1303
  - 1304
  - 1306
  - 1309
  - 1237
  - 1253
  - 1254
  - 1257
  - 1258
  - 1259
  - 1261
  - 1264
  - 1266
  - 1269
  - 1270
  - 1274
  - 1275
  - 1276
  scipy.stats._distn_infrastructure.rv_generic.nnlf:
  - 1504
  - 1505
  - 1507
  - 1494
  - 1500
  - 1501
  - 1503
  scipy.stats._distn_infrastructure.rv_generic.random_state:
  - 661
  - 647
  scipy.stats._distn_infrastructure.rv_generic.rvs:
  - 1050
  - 1059
  - 1060
  - 1080
  - 1063
  - 1082
  - 1065
  - 1069
  - 1074
  - 1079
  - 1078
  - 1047
  - 1048
  - 1049
  - 1018
  - 1051
  scipy.stats._distn_infrastructure.rv_generic.stats:
  - 1152
  - 1153
  - 1154
  - 1155
  - 1156
  - 1157
  - 1159
  - 1161
  - 1162
  - 1163
  - 1164
  - 1166
  - 1167
  - 1168
  - 1169
  - 1170
  - 1171
  - 1172
  - 1173
  - 1175
  - 1179
  - 1180
  - 1181
  - 1182
  - 1184
  - 1187
  - 1188
  - 1189
  - 1191
  - 1194
  - 1197
  - 1087
  - 1112
  - 1114
  - 1115
  - 1116
  - 1118
  - 1121
  - 1122
  - 1125
  - 1126
  - 1129
  - 1131
  - 1132
  - 1133
  - 1134
  - 1135
  - 1136
  - 1138
  - 1139
  - 1140
  - 1141
  - 1142
  - 1144
  - 1145
  - 1146
  - 1147
  - 1148
  - 1150
  - 1151
  scipy.stats._distn_infrastructure.rv_generic.std:
  - 1409
  - 1390
  scipy.stats._distn_infrastructure.rv_generic.support:
  - 1477
  - 1478
  - 1480
  - 1481
  - 1482
  - 1484
  - 1487
  - 1489
  - 1490
  - 1459
  scipy.stats._distn_infrastructure.rv_generic.var:
  - 1384
  - 1385
  - 1365
  scipy.stats._distn_infrastructure.rv_sample:
  - 3881
  scipy.stats._distn_infrastructure.rv_sample.__getstate__:
  - 3945
  - 3940
  scipy.stats._distn_infrastructure.rv_sample.__init__:
  - 3937
  - 3911
  - 3913
  - 3915
  - 3917
  - 3920
  - 3921
  - 3890
  - 3922
  - 3892
  - 3926
  - 3896
  - 3930
  - 3901
  - 3935
  scipy.stats._distn_infrastructure.rv_sample._attach_methods:
  - 3950
  - 3951
  scipy.stats._distn_infrastructure.rv_sample._cdf:
  - 3974
  - 3975
  scipy.stats._distn_infrastructure.rv_sample._entropy:
  - 3995
  scipy.stats._distn_infrastructure.rv_sample._expect:
  - 4004
  - 4005
  scipy.stats._distn_infrastructure.rv_sample._get_support:
  - 3954
  scipy.stats._distn_infrastructure.rv_sample._pmf:
  - 3970
  - 3971
  scipy.stats._distn_infrastructure.rv_sample._ppf:
  - 3979
  - 3980
  scipy.stats._distn_infrastructure.rv_sample._rvs:
  - 3986
  - 3987
  - 3988
  - 3989
  - 3991
  scipy.stats._distn_infrastructure.rv_sample.generic_moment:
  - 3998
  - 3999
  scipy.stats._distr_params:
  - 1
  scipy.stats._entropy:
  - 1
  - 169
  - 170
  - 16
  - 17
  - 18
  - 22
  scipy.stats._entropy._correa_entropy:
  - 419
  - 421
  - 422
  - 423
  - 409
  - 412
  - 414
  - 415
  scipy.stats._entropy._differential_entropy_is_too_small:
  - 162
  - 163
  - 164
  scipy.stats._entropy._ebrahimi_entropy:
  - 392
  - 395
  - 399
  - 400
  - 404
  - 405
  scipy.stats._entropy._pad_along_last_axis:
  - 362
  - 364
  - 366
  - 367
  - 368
  scipy.stats._entropy._van_es_entropy:
  - 386
  - 387
  - 388
  - 381
  scipy.stats._entropy._vasicek_entropy:
  - 376
  - 377
  - 372
  - 374
  scipy.stats._entropy.differential_entropy:
  - 321
  - 322
  - 353
  - 324
  - 355
  - 356
  - 330
  - 333
  - 340
  - 181
  - 341
  - 342
  - 345
  - 346
  - 348
  - 317
  - 318
  scipy.stats._entropy.entropy:
  - 139
  - 142
  - 143
  - 144
  - 145
  - 146
  - 148
  - 149
  - 150
  - 151
  - 152
  - 153
  - 154
  - 155
  - 30
  scipy.stats._fit:
  - 736
  scipy.stats._fit.FitResult:
  - 42
  scipy.stats._fit.FitResult.__init__:
  - 64
  - 65
  - 66
  - 68
  - 70
  - 73
  - 77
  - 78
  - 62
  scipy.stats._fit.FitResult.__repr__:
  - 82
  - 83
  - 84
  scipy.stats._fit.FitResult._cdf_plot:
  - 295
  - 296
  - 297
  - 299
  - 301
  - 302
  - 303
  - 305
  - 306
  - 307
  - 308
  - 309
  - 310
  - 311
  - 312
  scipy.stats._fit.FitResult._hist_plot:
  - 193
  - 194
  - 195
  - 198
  - 199
  - 200
  - 201
  - 203
  - 204
  - 205
  - 206
  - 208
  - 209
  - 210
  - 211
  - 212
  - 213
  - 215
  - 216
  - 218
  - 221
  - 222
  scipy.stats._fit.FitResult._plotting_positions:
  - 291
  scipy.stats._fit.FitResult._pp_plot:
  - 287
  scipy.stats._fit.FitResult._qp_plot:
  - 262
  - 263
  - 264
  - 265
  - 266
  - 267
  - 268
  - 271
  - 274
  - 275
  - 276
  - 277
  - 278
  - 279
  - 280
  - 226
  - 227
  - 229
  - 232
  - 238
  - 240
  - 242
  - 243
  - 244
  - 245
  - 246
  - 248
  - 249
  - 250
  - 252
  - 254
  scipy.stats._fit.FitResult._qq_plot:
  - 284
  scipy.stats._fit.FitResult.nllf:
  - 110
  - 87
  scipy.stats._fit.FitResult.plot:
  - 113
  - 178
  - 177
  - 180
  - 182
  - 184
  - 186
  - 188
  scipy.stats._fit._anderson_darling:
  - 1224
  - 1225
  - 1226
  - 1222
  scipy.stats._fit._combine_bounds:
  - 32
  - 9
  - 11
  - 13
  - 15
  - 18
  - 19
  - 21
  - 26
  scipy.stats._fit._compute_dminus:
  - 1237
  scipy.stats._fit._compute_dplus:
  - 1232
  scipy.stats._fit._corr:
  - 1252
  - 1253
  - 1254
  - 1255
  scipy.stats._fit._cramer_von_mises:
  - 1288
  - 1289
  - 1285
  - 1287
  scipy.stats._fit._filliben:
  - 1280
  - 1261
  - 1265
  - 1274
  - 1277
  scipy.stats._fit._fit_norm:
  - 1203
  - 1204
  - 1205
  - 1206
  - 1207
  - 1208
  - 1209
  scipy.stats._fit._get_fit_fun:
  - 1165
  - 1168
  - 1169
  - 1172
  - 1176
  scipy.stats._fit._get_fit_fun.fit_fun:
  - 1189
  - 1190
  - 1178
  - 1179
  - 1180
  scipy.stats._fit._get_fit_fun.fit_fun_1d:
  - 1185
  scipy.stats._fit._gof_iv:
  - 1300
  - 1305
  - 1306
  - 1312
  - 1313
  - 1314
  - 1316
  - 1317
  - 1321
  - 1322
  - 1325
  - 1329
  - 1333
  - 1334
  - 1336
  - 1337
  - 1339
  - 1343
  - 1344
  - 1348
  scipy.stats._fit._kolmogorov_smirnov:
  - 1241
  - 1242
  - 1243
  - 1244
  - 1245
  scipy.stats._fit.fit:
  - 641
  - 646
  - 648
  - 649
  - 650
  - 651
  - 652
  - 655
  - 656
  - 661
  - 670
  - 673
  - 547
  - 675
  - 550
  - 680
  - 686
  - 559
  - 687
  - 689
  - 690
  - 692
  - 693
  - 694
  - 567
  - 568
  - 697
  - 571
  - 572
  - 699
  - 318
  - 700
  - 701
  - 577
  - 705
  - 580
  - 581
  - 583
  - 586
  - 587
  - 589
  - 590
  - 592
  - 593
  - 721
  - 723
  - 596
  - 725
  - 598
  - 599
  - 727
  - 729
  - 603
  - 604
  - 605
  - 731
  - 733
  - 611
  - 615
  - 620
  - 627
  - 628
  - 629
  - 633
  - 638
  - 639
  scipy.stats._fit.fit.nllf:
  - 713
  - 714
  scipy.stats._fit.fit.nlpsf:
  - 717
  - 718
  scipy.stats._fit.goodness_of_fit:
  - 1123
  - 1125
  - 1126
  - 1158
  - 744
  - 1132
  - 1133
  - 1137
  - 1149
  - 1146
  - 1117
  scipy.stats._fit.goodness_of_fit.rvs:
  - 1129
  scipy.stats._fit.goodness_of_fit.statistic_fun:
  - 1144
  - 1141
  - 1142
  - 1143
  scipy.stats._generate_pyx:
  - 15
  - 16
  - 17
  - 19
  - 21
  - 25
  - 26
  - 27
  scipy.stats._generate_pyx.make_boost:
  - 10
  - 11
  scipy.stats._hypotests:
  - 25
  - 1543
  - 29
  - 487
  scipy.stats._hypotests.TukeyHSDResult:
  - 1697
  scipy.stats._hypotests.TukeyHSDResult.__str__:
  - 1737
  - 1738
  - 1742
  - 1743
  - 1744
  scipy.stats._hypotests.TukeyHSDResult.confidence_interval:
  - 1794
  - 1798
  - 1807
  - 1816
  - 1752
  scipy.stats._hypotests._all_partitions:
  - 898
  - 899
  - 900
  - 901
  - 904
  - 892
  scipy.stats._hypotests._cdf_cvm:
  - 451
  - 466
  - 467
  - 468
  - 471
  - 475
  - 478
  scipy.stats._hypotests._cdf_cvm_inf:
  - 428
  - 438
  - 439
  - 441
  - 442
  - 444
  - 415
  scipy.stats._hypotests._cdf_cvm_inf.term:
  - 432
  - 435
  - 436
  scipy.stats._hypotests._compute_log_combinations:
  - 908
  - 909
  - 910
  scipy.stats._hypotests._get_binomial_log_p_value_with_nuisance_param:
  - 1472
  - 1444
  - 1445
  - 1478
  - 1447
  - 1479
  - 1480
  - 1450
  - 1482
  - 1452
  - 1402
  scipy.stats._hypotests._get_wilcoxon_distr:
  - 611
  - 612
  - 614
  - 615
  - 605
  scipy.stats._hypotests._get_wilcoxon_distr2:
  - 640
  - 641
  - 622
  - 633
  - 636
  - 638
  - 639
  scipy.stats._hypotests._poisson_means_test_iv:
  - 336
  - 340
  - 343
  - 346
  - 350
  scipy.stats._hypotests._psi1_mod:
  - 365
  - 401
  - 402
  - 403
  - 405
  - 406
  - 408
  scipy.stats._hypotests._psi1_mod._Ak:
  - 389
  - 393
  - 394
  - 395
  - 396
  - 397
  scipy.stats._hypotests._psi1_mod._ed2:
  - 379
  - 380
  scipy.stats._hypotests._psi1_mod._ed3:
  - 384
  - 385
  scipy.stats._hypotests._pval_cvm_2samp_exact:
  - 1536
  - 1505
  - 1537
  - 1540
  - 1516
  - 1517
  - 1518
  - 1521
  - 1522
  - 1491
  - 1523
  - 1525
  - 1526
  - 1529
  - 1530
  - 1531
  - 1532
  - 1533
  scipy.stats._hypotests._somers_d:
  - 676
  - 680
  - 683
  - 685
  - 686
  - 687
  - 691
  - 693
  - 696
  scipy.stats._hypotests._tau_b:
  - 649
  - 653
  - 656
  - 657
  - 658
  - 659
  - 660
  - 665
  - 667
  - 670
  scipy.stats._hypotests._tukey_hsd_iv:
  - 1824
  - 1825
  - 1826
  - 1828
  - 1830
  - 1822
  scipy.stats._hypotests.barnard_exact:
  - 1152
  - 1153
  - 1155
  - 1166
  - 1167
  - 1170
  - 920
  - 1180
  - 1181
  - 1109
  - 1115
  - 1117
  - 1120
  - 1123
  - 1126
  - 1128
  - 1130
  - 1131
  - 1137
  - 1144
  - 1145
  - 1151
  scipy.stats._hypotests.boschloo_exact:
  - 1191
  - 1323
  - 1329
  - 1331
  - 1334
  - 1337
  - 1340
  - 1342
  - 1344
  - 1345
  - 1348
  - 1349
  - 1350
  - 1352
  - 1353
  - 1354
  - 1355
  - 1364
  - 1365
  - 1381
  - 1382
  - 1385
  - 1395
  - 1396
  scipy.stats._hypotests.cramervonmises:
  - 584
  - 585
  - 490
  - 587
  - 589
  - 592
  - 593
  - 595
  - 596
  - 599
  - 601
  scipy.stats._hypotests.cramervonmises_2samp:
  - 1667
  - 1668
  - 1546
  - 1674
  - 1675
  - 1683
  - 1688
  - 1691
  - 1693
  - 1642
  - 1643
  - 1645
  - 1647
  - 1650
  - 1651
  - 1653
  - 1654
  - 1660
  - 1662
  scipy.stats._hypotests.epps_singleton_2samp:
  - 128
  - 129
  - 130
  - 136
  - 137
  - 140
  - 144
  - 146
  - 31
  - 97
  - 99
  - 100
  - 103
  - 105
  - 110
  - 112
  - 118
  - 119
  - 122
  - 123
  - 124
  - 125
  - 127
  scipy.stats._hypotests.poisson_means_test:
  - 256
  - 321
  - 322
  - 291
  - 292
  - 323
  - 264
  - 265
  - 297
  - 298
  - 330
  - 331
  - 304
  - 273
  - 305
  - 150
  - 316
  - 317
  scipy.stats._hypotests.somersd:
  - 864
  - 865
  - 867
  - 868
  - 709
  - 869
  - 872
  - 875
  - 882
  - 885
  - 863
  scipy.stats._hypotests.tukey_hsd:
  - 1984
  - 1985
  - 1986
  - 1987
  - 2018
  - 2020
  - 1991
  - 1836
  - 1996
  - 2008
  - 2015
  - 1983
  scipy.stats._kde._get_output_dtype:
  - 709
  - 715
  - 716
  - 717
  - 719
  - 721
  scipy.stats._kde.gaussian_kde:
  - 44
  scipy.stats._kde.gaussian_kde.__init__:
  - 226
  - 200
  - 201
  - 206
  - 207
  - 208
  - 209
  - 211
  - 213
  - 216
  scipy.stats._kde.gaussian_kde._compute_covariance:
  - 577
  - 580
  - 582
  - 583
  - 586
  - 590
  - 591
  - 592
  scipy.stats._kde.gaussian_kde.evaluate:
  - 257
  - 260
  - 261
  - 263
  - 238
  - 270
  - 271
  scipy.stats._kde.gaussian_kde.integrate_box:
  - 385
  - 390
  - 393
  - 396
  - 368
  scipy.stats._kde.gaussian_kde.integrate_box_1d:
  - 354
  - 357
  - 359
  - 360
  - 362
  - 363
  - 364
  - 333
  scipy.stats._kde.gaussian_kde.integrate_gaussian:
  - 322
  - 324
  - 325
  - 327
  - 328
  - 303
  - 304
  - 306
  - 308
  - 280
  - 319
  scipy.stats._kde.gaussian_kde.integrate_kde:
  - 421
  - 425
  - 433
  - 401
  - 435
  - 438
  - 440
  - 441
  - 443
  - 444
  scipy.stats._kde.gaussian_kde.inv_cov:
  - 601
  - 602
  - 604
  scipy.stats._kde.gaussian_kde.logpdf:
  - 619
  - 622
  - 625
  - 626
  - 628
  - 635
  - 636
  scipy.stats._kde.gaussian_kde.marginal:
  - 643
  - 675
  - 680
  - 688
  - 663
  - 665
  - 670
  - 671
  scipy.stats._kde.gaussian_kde.neff:
  - 704
  scipy.stats._kde.gaussian_kde.pdf:
  - 616
  - 607
  scipy.stats._kde.gaussian_kde.resample:
  - 480
  - 451
  - 473
  - 474
  - 476
  - 477
  - 478
  scipy.stats._kde.gaussian_kde.scotts_factor:
  - 493
  - 486
  scipy.stats._kde.gaussian_kde.set_bandwidth:
  - 514
  - 557
  - 559
  - 561
  - 563
  - 565
  - 566
  - 568
  - 574
  scipy.stats._kde.gaussian_kde.set_bandwidth.<lambda2>:
  - 568
  scipy.stats._kde.gaussian_kde.silverman_factor:
  - 496
  - 503
  scipy.stats._kde.gaussian_kde.weights:
  - 696
  scipy.stats._ksstats:
  - 74
  - 75
  - 77
  - 78
  - 80
  scipy.stats._ksstats._clip_prob:
  - 104
  - 105
  scipy.stats._ksstats._kolmogn:
  - 385
  - 386
  - 387
  - 388
  - 390
  - 391
  - 392
  - 393
  - 394
  - 396
  - 397
  - 398
  - 400
  - 401
  - 402
  - 403
  - 406
  - 407
  - 408
  - 409
  - 410
  - 411
  - 412
  - 414
  - 415
  - 418
  - 419
  - 421
  - 422
  - 423
  - 425
  - 427
  - 428
  - 430
  - 431
  - 375
  - 381
  - 383
  scipy.stats._ksstats._kolmogn_DMTW:
  - 129
  - 130
  - 131
  - 135
  - 141
  - 143
  - 145
  - 149
  - 152
  - 155
  - 157
  - 162
  - 163
  - 165
  - 168
  - 176
  - 178
  - 183
  - 184
  - 186
  - 115
  - 126
  - 127
  scipy.stats._ksstats._kolmogn_PelzGood:
  - 292
  - 301
  - 302
  - 303
  - 304
  - 306
  - 310
  - 311
  - 313
  - 328
  - 331
  - 332
  - 335
  - 336
  - 345
  - 351
  - 352
  - 357
  - 360
  - 363
  - 366
  - 370
  scipy.stats._ksstats._kolmogn_Pomeranz:
  - 258
  - 259
  - 260
  - 265
  - 266
  - 271
  - 278
  - 279
  - 285
  - 286
  - 287
  - 208
  - 226
  - 228
  - 232
  - 233
  - 234
  - 242
  - 247
  - 248
  - 252
  - 253
  scipy.stats._ksstats._kolmogn_p:
  - 448
  - 450
  - 451
  - 453
  - 455
  - 458
  - 459
  - 473
  - 435
  - 467
  - 468
  - 439
  - 441
  - 443
  - 446
  scipy.stats._ksstats._kolmogn_p._kk:
  - 471
  scipy.stats._ksstats._kolmogni:
  - 482
  - 484
  - 486
  - 488
  - 490
  - 491
  - 493
  - 494
  - 496
  - 497
  - 502
  - 477
  scipy.stats._ksstats._kolmogni._f:
  - 500
  scipy.stats._ksstats._log_nfactorial_div_n_pow_n:
  - 100
  scipy.stats._ksstats._pomeranz_compute_j1j2:
  - 195
  - 196
  - 197
  - 204
  - 190
  - 191
  scipy.stats._ksstats._select_and_clip_prob:
  - 109
  - 110
  - 111
  scipy.stats._ksstats.kolmogn:
  - 529
  - 531
  - 532
  - 535
  - 537
  - 506
  scipy.stats._ksstats.kolmogni:
  - 590
  - 591
  - 592
  - 595
  - 598
  - 572
  scipy.stats._ksstats.kolmognp:
  - 559
  - 560
  - 561
  - 564
  - 566
  - 543
  scipy.stats._levy_stable:
  - 1153
  - 1155
  - 69
  - 70
  - 1224
  - 1150
  - 123
  - 126
  - 1151
  scipy.stats._levy_stable._Phi_Z0:
  - 48
  - 50
  scipy.stats._levy_stable._Phi_Z1:
  - 56
  - 58
  scipy.stats._levy_stable._cdf_single_value_piecewise_Z0:
  - 323
  - 325
  - 326
  - 331
  - 334
  - 335
  - 337
  - 339
  - 311
  - 312
  - 313
  - 315
  - 316
  scipy.stats._levy_stable._cdf_single_value_piecewise_Z1:
  - 306
  - 303
  scipy.stats._levy_stable._cdf_single_value_piecewise_post_rounding_Z0:
  - 387
  - 357
  - 389
  - 359
  - 390
  - 408
  - 364
  - 367
  - 399
  - 400
  - 376
  - 346
  - 347
  - 383
  scipy.stats._levy_stable._cdf_single_value_piecewise_post_rounding_Z0.integrand:
  - 380
  - 381
  scipy.stats._levy_stable._cf:
  - 64
  - 65
  - 63
  scipy.stats._levy_stable._fitstart_S0:
  - 495
  - 492
  - 493
  - 487
  scipy.stats._levy_stable._fitstart_S1:
  - 640
  - 641
  - 511
  - 531
  - 556
  - 577
  - 596
  - 603
  - 610
  - 616
  - 623
  - 624
  - 625
  - 626
  - 627
  - 632
  - 633
  - 634
  - 635
  - 638
  - 639
  scipy.stats._levy_stable._fitstart_S1.phi_3_1:
  - 614
  scipy.stats._levy_stable._fitstart_S1.phi_5_1:
  - 620
  scipy.stats._levy_stable._fitstart_S1.psi_1_1:
  - 600
  - 601
  scipy.stats._levy_stable._fitstart_S1.psi_2_1:
  - 608
  - 607
  scipy.stats._levy_stable._nolan_round_difficult_input:
  - 160
  - 153
  - 167
  scipy.stats._levy_stable._nolan_round_x_near_zeta:
  - 145
  - 132
  scipy.stats._levy_stable._pdf_single_value_cf_integrate:
  - 96
  - 74
  - 108
  - 79
  - 95
  scipy.stats._levy_stable._pdf_single_value_cf_integrate.integrand1:
  - 82
  - 84
  - 85
  scipy.stats._levy_stable._pdf_single_value_cf_integrate.integrand2:
  - 89
  - 91
  - 92
  scipy.stats._levy_stable._pdf_single_value_piecewise_Z0:
  - 195
  - 197
  - 198
  - 203
  - 206
  - 207
  - 209
  - 210
  - 212
  - 213
  - 214
  - 183
  - 184
  - 185
  - 218
  - 187
  - 188
  scipy.stats._levy_stable._pdf_single_value_piecewise_Z1:
  - 178
  - 175
  scipy.stats._levy_stable._pdf_single_value_piecewise_post_rounding_Z0:
  - 256
  - 225
  - 227
  - 266
  - 267
  - 236
  - 268
  - 238
  - 240
  - 241
  - 245
  - 246
  - 280
  - 285
  scipy.stats._levy_stable._pdf_single_value_piecewise_post_rounding_Z0.<lambda1>:
  - 268
  scipy.stats._levy_stable._pdf_single_value_piecewise_post_rounding_Z0.<lambda2>:
  - 280
  scipy.stats._levy_stable._pdf_single_value_piecewise_post_rounding_Z0.integrand:
  - 264
  - 261
  - 262
  scipy.stats._levy_stable._rvs_Z1:
  - 423
  - 467
  - 468
  - 469
  - 472
  - 475
  - 476
  - 477
  scipy.stats._levy_stable._rvs_Z1.alpha1func:
  - 432
  scipy.stats._levy_stable._rvs_Z1.alphanot1func:
  - 459
  scipy.stats._levy_stable._rvs_Z1.beta0func:
  - 440
  - 439
  scipy.stats._levy_stable._rvs_Z1.otherwise:
  - 450
  - 451
  - 452
  - 445
  - 446
  - 447
  scipy.stats._levy_stable.levy_stable_gen:
  - 1007
  - 836
  - 861
  - 647
  scipy.stats._levy_stable.levy_stable_gen._cdf:
  - 1047
  - 1050
  - 1054
  - 1056
  - 1058
  - 1059
  - 1062
  - 1064
  - 1079
  - 1080
  - 1081
  - 1083
  - 1084
  - 1086
  - 1091
  - 1093
  - 1102
  - 1107
  - 1114
  - 1116
  - 1119
  - 1120
  - 1125
  - 1126
  - 1128
  - 1129
  scipy.stats._levy_stable.levy_stable_gen._cdf.<lambda1>:
  - 1120
  scipy.stats._levy_stable.levy_stable_gen._fitstart:
  - 1137
  - 1139
  - 1135
  scipy.stats._levy_stable.levy_stable_gen._parameterization:
  - 830
  scipy.stats._levy_stable.levy_stable_gen._pdf:
  - 900
  - 904
  - 909
  - 911
  - 913
  - 914
  - 917
  - 919
  - 921
  - 939
  - 940
  - 941
  - 943
  - 944
  - 946
  - 951
  - 953
  - 961
  - 967
  - 972
  - 979
  - 981
  - 988
  - 994
  - 995
  - 1000
  - 1001
  - 1003
  scipy.stats._levy_stable.levy_stable_gen._pdf.<lambda1>:
  - 995
  scipy.stats._levy_stable.levy_stable_gen._rvs:
  - 859
  scipy.stats._levy_stable.levy_stable_gen._shape_info:
  - 824
  - 823
  scipy.stats._levy_stable.levy_stable_gen.cdf:
  - 1024
  - 1026
  - 1027
  - 1030
  - 1034
  - 1037
  - 1039
  - 1042
  - 1012
  - 1013
  - 1014
  - 1015
  - 1016
  - 1017
  - 1020
  - 1021
  - 1023
  scipy.stats._levy_stable.levy_stable_gen.pdf:
  - 865
  - 866
  - 867
  - 868
  - 869
  - 870
  - 873
  - 874
  - 876
  - 877
  - 879
  - 880
  - 883
  - 887
  - 890
  - 892
  - 895
  scipy.stats._levy_stable.levy_stable_gen.rvs:
  - 838
  - 840
  - 841
  - 842
  - 845
  - 846
  - 849
  - 850
  - 852
  - 853
  - 855
  scipy.stats._levy_stable.pdf_from_cf_with_fft:
  - 1217
  - 1218
  - 1220
  - 1162
  - 1201
  - 1204
  - 1205
  - 1206
  - 1207
  - 1208
  - 1209
  scipy.stats._mannwhitneyu:
  - 248
  - 122
  - 251
  scipy.stats._mannwhitneyu._MWU:
  - 21
  scipy.stats._mannwhitneyu._MWU.__init__:
  - 25
  - 26
  scipy.stats._mannwhitneyu._MWU._f:
  - 101
  - 104
  - 108
  - 111
  - 114
  scipy.stats._mannwhitneyu._MWU._resize_fmnks:
  - 89
  - 91
  - 92
  - 93
  - 94
  - 95
  scipy.stats._mannwhitneyu._MWU.cdf:
  - 66
  - 67
  - 62
  scipy.stats._mannwhitneyu._MWU.pmf:
  - 40
  - 42
  - 38
  scipy.stats._mannwhitneyu._MWU.pmf_iterative:
  - 54
  - 56
  - 57
  - 58
  - 59
  scipy.stats._mannwhitneyu._MWU.pmf_recursive:
  - 45
  - 46
  - 49
  - 50
  - 51
  scipy.stats._mannwhitneyu._MWU.sf:
  - 71
  - 78
  - 80
  - 82
  - 83
  - 85
  scipy.stats._mannwhitneyu._broadcast_concatenate:
  - 10
  - 11
  - 12
  - 13
  - 14
  - 15
  - 16
  scipy.stats._mannwhitneyu._get_mwu_z:
  - 194
  - 198
  - 178
  - 185
  - 186
  scipy.stats._mannwhitneyu._mwu_choose_method:
  - 242
  - 235
  - 238
  scipy.stats._mannwhitneyu._mwu_f_iterative:
  - 160
  - 161
  - 168
  - 169
  - 170
  - 171
  - 172
  - 150
  - 153
  - 154
  - 126
  - 159
  scipy.stats._mannwhitneyu._mwu_f_iterative._base_case:
  - 136
  - 129
  - 132
  - 140
  scipy.stats._mannwhitneyu._mwu_input_validation:
  - 225
  - 227
  - 228
  - 204
  - 206
  - 207
  - 209
  - 213
  - 217
  - 218
  - 221
  - 222
  scipy.stats._mannwhitneyu.mannwhitneyu:
  - 517
  - 519
  - 475
  - 477
  - 482
  - 483
  - 487
  - 489
  - 492
  - 494
  - 495
  - 497
  - 498
  - 499
  - 500
  - 501
  - 508
  - 509
  - 254
  scipy.stats._mannwhitneyu.mannwhitneyu.statistic:
  - 504
  scipy.stats._morestats:
  - 2048
  - 3073
  - 4488
  - 4489
  - 4490
  - 3724
  - 2830
  - 2833
  - 4634
  - 4251
  - 4635
  - 4636
  - 3870
  - 3361
  - 3364
  - 39
  - 40
  - 41
  - 2608
  - 3894
  - 3895
  - 3897
  - 3642
  - 318
  - 319
  - 1859
  - 1862
  - 2118
  - 4556
  - 4557
  - 4558
  - 3070
  - 219
  - 220
  - 2022
  - 2023
  - 2407
  - 2026
  - 2666
  - 2669
  - 2030
  - 2046
  - 2047
  scipy.stats._morestats.<lambda6>:
  - 3897
  scipy.stats._morestats._ABW:
  - 2612
  scipy.stats._morestats._ABW.__init__:
  - 2618
  scipy.stats._morestats._ABW._recalc:
  - 2626
  - 2627
  - 2631
  - 2636
  - 2637
  scipy.stats._morestats._ABW.cdf:
  - 2649
  - 2650
  - 2653
  - 2654
  scipy.stats._morestats._ABW.pmf:
  - 2641
  - 2642
  - 2645
  scipy.stats._morestats._ABW.sf:
  - 2657
  - 2658
  - 2661
  - 2662
  scipy.stats._morestats._add_axis_labels_title:
  - 468
  - 470
  - 472
  - 473
  - 474
  - 477
  - 478
  - 479
  scipy.stats._morestats._anderson_ksamp_midrank:
  - 2361
  - 2353
  - 2354
  - 2357
  - 2359
  - 2360
  - 2329
  - 2362
  - 2363
  - 2365
  - 2366
  scipy.stats._morestats._anderson_ksamp_right:
  - 2400
  - 2401
  - 2402
  - 2403
  - 2372
  - 2396
  - 2398
  - 2399
  scipy.stats._morestats._apply_func:
  - 3355
  - 3356
  - 3358
  scipy.stats._morestats._boxcox_conf_interval:
  - 966
  - 970
  - 973
  - 978
  - 982
  - 985
  - 957
  - 958
  scipy.stats._morestats._boxcox_conf_interval.rootfunc:
  - 961
  scipy.stats._morestats._boxcox_inv_lmbda:
  - 1134
  - 1135
  scipy.stats._morestats._calc_uniform_order_statistic_medians:
  - 428
  - 374
  - 431
  scipy.stats._morestats._circfuncs_common:
  - 4482
  - 4483
  - 4476
  - 4477
  scipy.stats._morestats._log_mean:
  - 842
  scipy.stats._morestats._log_var:
  - 848
  - 849
  - 850
  - 847
  scipy.stats._morestats._mood_inner_lc:
  - 3681
  - 3713
  - 3652
  - 3703
  - 3659
  - 3660
  - 3661
  - 3693
  - 3666
  - 3667
  - 3668
  - 3669
  - 3670
  - 3698
  - 3675
  - 3676
  - 3709
  - 3678
  scipy.stats._morestats._normplot:
  - 1379
  - 1386
  - 1387
  - 1390
  - 1393
  - 1405
  - 1396
  - 1398
  - 1401
  - 1402
  - 1373
  - 1406
  - 1407
  scipy.stats._morestats._parse_dist_kw:
  - 452
  - 454
  - 456
  - 459
  - 437
  scipy.stats._morestats._weibull_fit_check:
  - 2114
  - 2087
  - 2058
  - 2100
  - 2101
  - 2105
  scipy.stats._morestats._weibull_fit_check.dnllf:
  - 2080
  scipy.stats._morestats._weibull_fit_check.dnllf_dm:
  - 2064
  - 2065
  scipy.stats._morestats._weibull_fit_check.dnllf_du:
  - 2070
  scipy.stats._morestats._weibull_fit_check.get_scale:
  - 2075
  scipy.stats._morestats._yeojohnson_transform:
  - 1574
  - 1577
  - 1578
  - 1582
  - 1583
  - 1586
  - 1589
  - 1590
  - 1592
  scipy.stats._morestats.anderson:
  - 2304
  - 2306
  - 2307
  - 2309
  - 2310
  - 2313
  - 2315
  - 2316
  - 2320
  - 2321
  - 2322
  - 2325
  - 2236
  - 2237
  - 2242
  - 2244
  - 2245
  - 2246
  - 2247
  - 2248
  - 2251
  - 2124
  - 2252
  - 2253
  - 2254
  - 2255
  - 2258
  - 2259
  - 2260
  - 2261
  - 2262
  - 2271
  - 2272
  - 2275
  - 2276
  - 2277
  - 2278
  - 2279
  - 2280
  - 2283
  - 2284
  - 2285
  - 2286
  - 2287
  - 2288
  - 2291
  - 2292
  - 2293
  - 2294
  - 2295
  - 2300
  - 2301
  - 2303
  scipy.stats._morestats.anderson.rootfunc:
  - 2266
  - 2267
  - 2268
  - 2269
  scipy.stats._morestats.anderson_ksamp:
  - 2561
  - 2562
  - 2564
  - 2572
  - 2576
  - 2577
  - 2578
  - 2579
  - 2581
  - 2583
  - 2584
  - 2588
  - 2589
  - 2590
  - 2594
  - 2595
  - 2597
  - 2598
  - 2603
  - 2531
  - 2532
  - 2535
  - 2536
  - 2538
  - 2539
  - 2414
  - 2543
  - 2544
  - 2548
  - 2552
  - 2557
  - 2558
  scipy.stats._morestats.anderson_ksamp.statistic:
  - 2555
  scipy.stats._morestats.ansari:
  - 2816
  - 2817
  - 2825
  - 2826
  - 2827
  - 2774
  - 2777
  - 2778
  - 2779
  - 2780
  - 2782
  - 2787
  - 2788
  - 2789
  - 2790
  - 2791
  - 2793
  - 2794
  - 2795
  - 2796
  - 2797
  - 2798
  - 2671
  - 2799
  - 2802
  - 2804
  - 2805
  - 2808
  - 2814
  scipy.stats._morestats.bartlett:
  - 3044
  - 3045
  - 3049
  - 3050
  - 3051
  - 3052
  - 3054
  - 3055
  - 3056
  - 3057
  - 3058
  - 2835
  - 3059
  - 3060
  - 3061
  - 3062
  - 3065
  - 3067
  scipy.stats._morestats.bayes_mvs:
  - 132
  - 133
  - 137
  - 138
  - 139
  - 45
  scipy.stats._morestats.boxcox:
  - 1121
  - 1122
  - 1124
  - 1128
  - 1103
  - 1105
  - 1106
  - 1108
  - 1111
  - 1114
  - 1117
  - 990
  scipy.stats._morestats.boxcox_llf:
  - 933
  - 935
  - 938
  - 941
  - 942
  - 949
  - 854
  - 951
  scipy.stats._morestats.boxcox_normmax:
  - 1320
  - 1326
  - 1328
  - 1335
  - 1339
  - 1341
  - 1342
  - 1344
  - 1347
  - 1348
  - 1352
  - 1353
  - 1359
  - 1363
  - 1365
  - 1253
  - 1255
  - 1256
  - 1258
  - 1260
  - 1264
  - 1267
  - 1146
  - 1275
  - 1278
  scipy.stats._morestats.boxcox_normmax._all:
  - 1312
  - 1313
  - 1314
  scipy.stats._morestats.boxcox_normmax._mle:
  - 1309
  scipy.stats._morestats.boxcox_normmax._mle._eval_mle:
  - 1307
  scipy.stats._morestats.boxcox_normmax._optimizer:
  - 1286
  - 1271
  scipy.stats._morestats.boxcox_normmax._optimizer.func_wrapped:
  - 1285
  scipy.stats._morestats.boxcox_normmax._pearsonr:
  - 1289
  - 1290
  - 1302
  scipy.stats._morestats.boxcox_normmax._pearsonr._eval_pearsonr:
  - 1297
  - 1298
  - 1299
  scipy.stats._morestats.boxcox_normplot:
  - 1479
  - 1415
  scipy.stats._morestats.circmean:
  - 4544
  - 4545
  - 4546
  - 4547
  - 4549
  - 4493
  scipy.stats._morestats.circstd:
  - 4640
  - 4720
  - 4721
  - 4722
  - 4724
  - 4725
  - 4727
  - 4728
  scipy.stats._morestats.circvar:
  - 4623
  - 4624
  - 4561
  - 4625
  - 4627
  - 4628
  scipy.stats._morestats.directional_stats:
  - 4864
  - 4866
  - 4867
  - 4869
  - 4870
  - 4744
  - 4858
  - 4859
  - 4862
  - 4863
  scipy.stats._morestats.false_discovery_control:
  - 4874
  - 5015
  - 5017
  - 5018
  - 5019
  - 5023
  - 5026
  - 5028
  - 5030
  - 5032
  - 5033
  - 5036
  - 5039
  - 5048
  - 5049
  - 5052
  - 5056
  - 5057
  - 5063
  - 5066
  - 5067
  - 5069
  scipy.stats._morestats.fligner:
  - 3589
  - 3592
  - 3593
  - 3597
  - 3598
  - 3599
  - 3600
  - 3602
  - 3607
  - 3613
  - 3619
  - 3620
  - 3621
  - 3366
  - 3623
  - 3626
  - 3627
  - 3628
  - 3630
  - 3631
  - 3634
  - 3635
  - 3636
  - 3637
  - 3638
  - 3639
  scipy.stats._morestats.fligner.func:
  - 3617
  - 3610
  - 3605
  scipy.stats._morestats.kstat:
  - 289
  - 290
  - 291
  - 223
  - 295
  - 299
  - 302
  - 303
  - 304
  - 306
  - 308
  - 310
  - 287
  scipy.stats._morestats.kstatvar:
  - 322
  - 361
  - 362
  - 363
  - 364
  - 365
  - 366
  - 367
  scipy.stats._morestats.levene:
  - 3330
  - 3075
  - 3332
  - 3333
  - 3337
  - 3341
  - 3342
  - 3347
  - 3348
  - 3292
  - 3295
  - 3296
  - 3299
  - 3300
  - 3302
  - 3307
  - 3313
  - 3319
  - 3320
  - 3321
  - 3322
  - 3326
  - 3327
  scipy.stats._morestats.levene.func:
  - 3305
  - 3317
  - 3310
  scipy.stats._morestats.median_test:
  - 4259
  - 4399
  - 4403
  - 4407
  - 4410
  - 4411
  - 4414
  - 4419
  - 4420
  - 4421
  - 4422
  - 4424
  - 4425
  - 4427
  - 4433
  - 4434
  - 4435
  - 4437
  - 4438
  - 4442
  - 4444
  - 4450
  - 4451
  - 4454
  - 4457
  - 4462
  - 4463
  - 4469
  - 4471
  scipy.stats._morestats.mood:
  - 3841
  - 3842
  - 3844
  - 3848
  - 3849
  - 3850
  - 3853
  - 3726
  - 3857
  - 3858
  - 3860
  - 3867
  - 3814
  - 3815
  - 3817
  - 3821
  - 3822
  - 3830
  - 3833
  - 3835
  - 3836
  - 3837
  - 3838
  scipy.stats._morestats.mvsdist:
  - 199
  - 200
  - 201
  - 203
  - 204
  - 205
  - 206
  - 207
  - 208
  - 145
  - 213
  - 214
  - 215
  scipy.stats._morestats.ppcc_max:
  - 650
  - 720
  - 721
  - 722
  - 733
  scipy.stats._morestats.ppcc_max.tempfunc:
  - 729
  - 730
  scipy.stats._morestats.ppcc_plot:
  - 832
  - 833
  - 738
  - 822
  - 825
  - 826
  - 827
  - 828
  - 831
  scipy.stats._morestats.probplot:
  - 641
  - 643
  - 603
  - 604
  - 605
  - 610
  - 611
  - 612
  - 614
  - 487
  - 616
  - 617
  - 619
  - 620
  - 621
  - 623
  - 625
  - 626
  - 627
  - 628
  - 629
  - 634
  - 635
  - 636
  - 637
  - 638
  scipy.stats._morestats.shapiro:
  - 2016
  - 1991
  - 1864
  - 1993
  - 1994
  - 1997
  - 2000
  - 2003
  - 2004
  - 2005
  - 2007
  - 2008
  scipy.stats._morestats.wilcoxon:
  - 4225
  - 4226
  - 4228
  - 4230
  - 4231
  - 4232
  - 4236
  - 4237
  - 4110
  - 4238
  - 4239
  - 4113
  - 4240
  - 4242
  - 4243
  - 4117
  - 4245
  - 4246
  - 4121
  - 4122
  - 4123
  - 4126
  - 4127
  - 4129
  - 4135
  - 4136
  - 4137
  - 4138
  - 4142
  - 4143
  - 4148
  - 4149
  - 4151
  - 4155
  - 4156
  - 4157
  - 3902
  - 4160
  - 4162
  - 4164
  - 4165
  - 4166
  - 4168
  - 4169
  - 4170
  - 4172
  - 4173
  - 4184
  - 4185
  - 4189
  - 4193
  - 4199
  - 4200
  - 4202
  - 4204
  - 4208
  - 4209
  - 4210
  - 4211
  - 4218
  - 4219
  - 4220
  - 4223
  scipy.stats._morestats.wilcoxon_outputs:
  - 3888
  - 3889
  scipy.stats._morestats.wilcoxon_result_object:
  - 3881
  - 3882
  scipy.stats._morestats.wilcoxon_result_unpacker:
  - 3874
  scipy.stats._morestats.yeojohnson:
  - 1568
  - 1483
  - 1552
  - 1553
  - 1556
  - 1560
  - 1561
  - 1563
  - 1564
  - 1567
  scipy.stats._morestats.yeojohnson_llf:
  - 1696
  - 1694
  - 1679
  - 1682
  - 1685
  - 1686
  - 1687
  - 1690
  - 1598
  scipy.stats._morestats.yeojohnson_normmax:
  - 1761
  - 1762
  - 1763
  - 1764
  - 1701
  - 1767
  - 1770
  - 1771
  - 1772
  - 1780
  - 1782
  - 1783
  - 1786
  - 1756
  - 1757
  - 1759
  scipy.stats._morestats.yeojohnson_normmax._neg_llf:
  - 1753
  - 1750
  scipy.stats._morestats.yeojohnson_normplot:
  - 1856
  - 1790
  scipy.stats._mstats_basic:
  - 1
  - 1542
  - 3462
  - 2826
  - 2068
  - 1950
  - 1700
  - 2987
  - 2092
  - 3374
  - 1593
  - 1338
  - 321
  - 1218
  - 1481
  - 1744
  - 3410
  - 989
  - 2925
  - 3061
  - 1400
  - 2043
  - 1660
  scipy.stats._mstats_basic._betai:
  - 394
  - 395
  - 396
  scipy.stats._mstats_basic._chk2_asarray:
  - 70
  - 71
  - 72
  - 73
  - 74
  scipy.stats._mstats_basic._chk_asarray:
  - 60
  - 61
  - 62
  scipy.stats._mstats_basic._chk_size:
  - 82
  - 83
  - 85
  scipy.stats._mstats_basic._kendall_p_exact:
  - 769
  - 770
  - 771
  - 773
  - 774
  - 776
  - 778
  - 779
  - 780
  - 782
  - 785
  - 788
  - 793
  - 742
  - 746
  - 748
  - 750
  - 753
  - 756
  - 757
  - 759
  - 760
  - 761
  - 762
  - 766
  - 767
  scipy.stats._mstats_basic._mask_to_limits:
  - 2207
  - 2208
  - 2209
  - 2211
  - 2213
  - 2200
  - 2201
  - 2202
  - 2203
  - 2205
  - 2175
  scipy.stats._mstats_basic._mode:
  - 385
  - 388
  - 390
  - 362
  - 373
  - 374
  - 375
  - 377
  - 378
  - 379
  - 381
  - 383
  scipy.stats._mstats_basic._mode._mode1D:
  - 365
  - 366
  - 368
  - 369
  - 371
  scipy.stats._mstats_basic._moment:
  - 2656
  - 2626
  - 2629
  - 2661
  - 2663
  - 2632
  - 2665
  - 2636
  - 2637
  - 2639
  - 2640
  - 2646
  - 2650
  - 2653
  - 2655
  scipy.stats._mstats_basic._ttest_finish:
  - 96
  - 97
  - 98
  - 99
  - 100
  - 105
  - 107
  - 92
  - 95
  scipy.stats._mstats_basic.argstoarray:
  - 161
  - 162
  - 163
  - 166
  - 167
  - 168
  - 169
  - 170
  - 172
  - 114
  scipy.stats._mstats_basic.brunnermunzel:
  - 3466
  - 3518
  - 3519
  - 3520
  - 3521
  - 3522
  - 3523
  - 3524
  - 3527
  - 3528
  - 3529
  - 3530
  - 3531
  - 3532
  - 3534
  - 3536
  - 3540
  - 3542
  - 3543
  - 3544
  - 3545
  - 3547
  - 3548
  - 3549
  - 3554
  - 3556
  - 3558
  - 3559
  - 3564
  scipy.stats._mstats_basic.count_tied_groups:
  - 257
  - 258
  - 260
  - 261
  - 262
  - 264
  - 222
  - 255
  scipy.stats._mstats_basic.describe:
  - 2884
  - 2885
  - 2886
  - 2887
  - 2888
  - 2889
  - 2890
  - 2892
  - 2832
  scipy.stats._mstats_basic.f_oneway:
  - 3394
  - 3395
  - 3396
  - 3397
  - 3398
  - 3402
  - 3403
  - 3405
  - 3407
  - 3378
  scipy.stats._mstats_basic.find_repeats:
  - 177
  - 209
  - 211
  - 216
  - 217
  - 218
  scipy.stats._mstats_basic.friedmanchisquare:
  - 3458
  - 3459
  - 3437
  - 3438
  - 3439
  - 3443
  - 3444
  - 3445
  - 3446
  - 3415
  - 3451
  - 3452
  - 3453
  - 3455
  scipy.stats._mstats_basic.kendalltau:
  - 896
  - 897
  - 898
  - 899
  - 901
  - 902
  - 904
  - 914
  - 915
  - 920
  - 800
  - 847
  - 848
  - 849
  - 850
  - 851
  - 852
  - 856
  - 858
  - 859
  - 863
  - 864
  - 865
  - 867
  - 868
  - 869
  - 870
  - 871
  - 872
  - 873
  - 874
  - 875
  - 876
  - 881
  - 884
  - 885
  - 890
  - 891
  - 893
  - 895
  scipy.stats._mstats_basic.kendalltau_seasonal:
  - 926
  - 935
  - 937
  - 939
  - 940
  - 942
  - 943
  - 944
  - 945
  - 947
  - 948
  - 949
  - 950
  - 951
  - 952
  - 953
  - 955
  - 956
  - 957
  - 958
  - 963
  - 965
  - 967
  - 968
  - 969
  - 971
  - 972
  - 973
  - 975
  - 976
  - 979
  scipy.stats._mstats_basic.kruskal:
  - 1639
  - 1640
  - 1641
  - 1642
  - 1643
  - 1644
  - 1646
  - 1647
  - 1648
  - 1652
  - 1653
  - 1654
  - 1597
  scipy.stats._mstats_basic.ks_1samp:
  - 1696
  - 1694
  - 1662
  - 1695
  scipy.stats._mstats_basic.ks_2samp:
  - 1736
  - 1734
  - 1702
  - 1735
  scipy.stats._mstats_basic.kstest:
  - 1746
  - 1762
  scipy.stats._mstats_basic.kurtosis:
  - 2816
  - 2817
  - 2819
  - 2820
  - 2767
  - 2803
  - 2804
  - 2805
  - 2806
  - 2807
  - 2808
  - 2809
  - 2811
  - 2812
  - 2814
  - 2815
  scipy.stats._mstats_basic.kurtosistest:
  - 2991
  - 3026
  - 3027
  - 3028
  - 3032
  - 3033
  - 3034
  - 3038
  - 3041
  - 3042
  - 3044
  - 3046
  - 3047
  - 3050
  - 3053
  - 3054
  - 3055
  - 3056
  - 3058
  scipy.stats._mstats_basic.linregress:
  - 1056
  - 1063
  - 1064
  - 1066
  - 1067
  - 1069
  - 1073
  - 1074
  - 1075
  - 1076
  - 1045
  - 1077
  - 1078
  - 1086
  - 1081
  - 1052
  - 1053
  - 1054
  scipy.stats._mstats_basic.mannwhitneyu:
  - 1569
  - 1570
  - 1571
  - 1572
  - 1574
  - 1575
  - 1547
  - 1580
  - 1581
  - 1582
  - 1584
  - 1585
  - 1587
  - 1589
  - 1590
  scipy.stats._mstats_basic.mode:
  - 357
  - 325
  scipy.stats._mstats_basic.moment:
  - 2602
  - 2603
  - 2604
  - 2608
  - 2577
  - 2609
  - 2610
  - 2611
  - 2613
  - 2616
  - 2617
  - 2618
  - 2619
  - 2621
  scipy.stats._mstats_basic.mquantiles:
  - 3209
  - 3210
  - 3213
  - 3215
  - 3217
  - 3220
  - 3221
  - 3223
  - 3099
  scipy.stats._mstats_basic.mquantiles._quantiles1D:
  - 3200
  - 3201
  - 3202
  - 3203
  - 3205
  - 3206
  - 3207
  - 3198
  - 3199
  scipy.stats._mstats_basic.msign:
  - 400
  - 401
  scipy.stats._mstats_basic.normaltest:
  - 3089
  - 3090
  - 3091
  - 3094
  - 3065
  scipy.stats._mstats_basic.obrientransform:
  - 3296
  - 3305
  - 3306
  - 3307
  - 3308
  - 3315
  scipy.stats._mstats_basic.pearsonr:
  - 562
  - 563
  - 565
  - 405
  - 566
  - 568
  - 571
  - 572
  - 573
  scipy.stats._mstats_basic.plotting_positions:
  - 3242
  - 3283
  - 3284
  - 3285
  - 3287
  - 3289
  scipy.stats._mstats_basic.pointbiserialr:
  - 994
  - 1027
  - 1029
  - 1032
  - 1033
  - 1035
  - 1038
  - 1039
  - 1041
  - 1018
  - 1019
  - 1021
  - 1022
  - 1023
  scipy.stats._mstats_basic.rankdata:
  - 274
  - 311
  - 312
  - 313
  - 314
  - 316
  - 318
  scipy.stats._mstats_basic.rankdata._rank1d:
  - 295
  - 296
  - 297
  - 298
  - 300
  - 305
  - 306
  - 307
  - 308
  scipy.stats._mstats_basic.scoreatpercentile:
  - 3233
  - 3227
  - 3237
  scipy.stats._mstats_basic.sem:
  - 3368
  - 3369
  - 3322
  - 3370
  scipy.stats._mstats_basic.sen_seasonal_slopes:
  - 1223
  - 1328
  - 1331
  - 1332
  - 1333
  - 1334
  - 1335
  scipy.stats._mstats_basic.siegelslopes:
  - 1162
  - 1201
  - 1202
  - 1203
  - 1205
  - 1206
  - 1209
  - 1212
  - 1213
  - 1215
  scipy.stats._mstats_basic.skew:
  - 2752
  - 2722
  - 2754
  - 2755
  - 2757
  - 2758
  - 2759
  - 2760
  - 2761
  - 2762
  - 2746
  - 2747
  - 2748
  - 2749
  - 2750
  - 2751
  scipy.stats._mstats_basic.skewtest:
  - 2977
  - 2978
  - 2979
  - 2980
  - 2981
  - 2982
  - 2984
  - 2929
  - 2964
  - 2965
  - 2966
  - 2968
  - 2969
  - 2970
  - 2975
  scipy.stats._mstats_basic.spearmanr:
  - 649
  - 653
  - 654
  - 656
  - 657
  - 658
  - 660
  - 662
  - 666
  - 667
  - 578
  - 713
  - 714
  - 716
  - 717
  - 718
  - 719
  - 720
  - 726
  scipy.stats._mstats_basic.spearmanr._spearmanr_2cols:
  - 672
  - 673
  - 706
  - 676
  - 677
  - 681
  - 683
  - 684
  - 688
  - 689
  - 692
  - 695
  - 697
  - 700
  - 701
  scipy.stats._mstats_basic.stde_median:
  - 2915
  - 2916
  - 2917
  - 2919
  - 2922
  - 2896
  scipy.stats._mstats_basic.stde_median._stdemed_1D:
  - 2912
  - 2909
  - 2910
  scipy.stats._mstats_basic.theilslopes:
  - 1152
  - 1155
  - 1092
  - 1156
  - 1158
  - 1144
  - 1145
  - 1146
  - 1148
  - 1149
  scipy.stats._mstats_basic.tmax:
  - 2412
  - 2410
  - 2411
  - 2364
  scipy.stats._mstats_basic.tmean:
  - 2267
  - 2220
  scipy.stats._mstats_basic.tmin:
  - 2360
  - 2316
  - 2358
  - 2359
  scipy.stats._mstats_basic.trim:
  - 1944
  - 1945
  - 1947
  - 1927
  scipy.stats._mstats_basic.trima:
  - 1767
  - 1801
  - 1802
  - 1803
  - 1809
  - 1810
  - 1815
  - 1816
  - 1821
  scipy.stats._mstats_basic.trimboth:
  - 1955
  - 1979
  scipy.stats._mstats_basic.trimmed_mean:
  - 2030
  - 2035
  - 2037
  - 2038
  - 2040
  scipy.stats._mstats_basic.trimmed_std:
  - 2083
  - 2085
  - 2086
  - 2088
  - 2089
  - 2074
  scipy.stats._mstats_basic.trimmed_stde:
  - 2146
  - 2147
  - 2148
  - 2149
  - 2150
  - 2156
  - 2157
  - 2159
  - 2160
  - 2097
  - 2164
  - 2165
  - 2167
  - 2170
  scipy.stats._mstats_basic.trimmed_stde._trimmed_stde_1D:
  - 2144
  - 2126
  - 2127
  - 2128
  - 2129
  - 2130
  - 2131
  - 2133
  - 2135
  - 2136
  - 2137
  - 2139
  - 2143
  scipy.stats._mstats_basic.trimmed_var:
  - 2049
  - 2058
  - 2060
  - 2061
  - 2063
  - 2065
  scipy.stats._mstats_basic.trimr:
  - 1889
  - 1826
  - 1868
  - 1869
  - 1870
  - 1876
  - 1877
  - 1879
  - 1880
  - 1885
  - 1887
  scipy.stats._mstats_basic.trimr._trimr1D:
  - 1856
  - 1858
  - 1860
  - 1861
  - 1862
  - 1864
  - 1852
  - 1853
  - 1854
  - 1855
  scipy.stats._mstats_basic.trimtail:
  - 1985
  - 2017
  - 2022
  - 2014
  - 2015
  scipy.stats._mstats_basic.tsem:
  - 2416
  - 2450
  - 2451
  - 2452
  - 2453
  - 2455
  - 2456
  - 2457
  scipy.stats._mstats_basic.ttest_1samp:
  - 1380
  - 1381
  - 1384
  - 1385
  - 1386
  - 1388
  - 1390
  - 1391
  - 1393
  - 1394
  - 1342
  scipy.stats._mstats_basic.ttest_ind:
  - 1472
  - 1474
  - 1477
  - 1478
  - 1449
  - 1451
  - 1452
  - 1454
  - 1455
  - 1456
  - 1458
  - 1460
  - 1462
  - 1466
  - 1404
  - 1471
  scipy.stats._mstats_basic.ttest_rel:
  - 1538
  - 1539
  - 1485
  - 1522
  - 1523
  - 1526
  - 1527
  - 1529
  - 1530
  - 1531
  - 1532
  - 1533
  - 1534
  - 1535
  scipy.stats._mstats_basic.tvar:
  - 2306
  - 2307
  - 2308
  - 2309
  - 2310
  - 2312
  - 2271
  scipy.stats._mstats_basic.variation:
  - 2718
  - 2669
  - 2717
  scipy.stats._mstats_basic.winsorize:
  - 2561
  - 2562
  - 2558
  - 2567
  - 2569
  - 2572
  - 2546
  - 2548
  - 2550
  - 2552
  - 2462
  - 2559
  scipy.stats._mstats_basic.winsorize._winsorize1D:
  - 2528
  - 2529
  - 2531
  - 2532
  - 2533
  - 2535
  - 2536
  - 2537
  - 2539
  - 2540
  - 2523
  - 2524
  - 2525
  - 2526
  - 2527
  scipy.stats._mstats_extras:
  - 1
  scipy.stats._mstats_extras.compare_medians_ms:
  - 448
  - 395
  - 444
  - 445
  - 446
  - 447
  scipy.stats._mstats_extras.hdmedian:
  - 146
  - 147
  - 125
  scipy.stats._mstats_extras.hdquantiles:
  - 110
  - 111
  - 113
  - 114
  - 116
  - 119
  - 121
  - 29
  scipy.stats._mstats_extras.hdquantiles._hd_1D:
  - 96
  - 98
  - 101
  - 105
  - 81
  - 82
  - 86
  - 87
  - 89
  - 93
  - 95
  scipy.stats._mstats_extras.hdquantiles_sd:
  - 199
  - 200
  - 202
  - 203
  - 205
  - 208
  - 210
  - 151
  scipy.stats._mstats_extras.hdquantiles_sd._hdsd_1D:
  - 192
  - 194
  - 195
  - 175
  - 176
  - 177
  - 179
  - 180
  - 183
  - 186
  - 187
  - 191
  scipy.stats._mstats_extras.idealfourths:
  - 452
  - 485
  - 484
  - 486
  - 488
  scipy.stats._mstats_extras.idealfourths._idf:
  - 474
  - 475
  - 476
  - 478
  - 479
  scipy.stats._mstats_extras.median_cihs:
  - 384
  - 386
  - 389
  - 344
  - 381
  - 383
  scipy.stats._mstats_extras.median_cihs._cihs_1D:
  - 367
  - 368
  - 369
  - 370
  - 371
  - 372
  - 374
  - 375
  - 377
  scipy.stats._mstats_extras.mjci:
  - 296
  - 265
  - 297
  - 301
  - 303
  - 304
  - 306
  scipy.stats._mstats_extras.mjci._mjci_1D:
  - 289
  - 290
  - 291
  - 292
  - 293
  - 281
  - 283
  - 286
  - 287
  scipy.stats._mstats_extras.mquantiles_cimj:
  - 336
  - 337
  - 338
  - 339
  - 310
  scipy.stats._mstats_extras.rsh:
  - 513
  - 516
  - 517
  - 519
  - 520
  - 492
  - 507
  - 508
  - 511
  scipy.stats._mstats_extras.trimmed_mean_ci:
  - 256
  - 257
  - 258
  - 259
  - 260
  - 261
  - 215
  - 255
  scipy.stats._multicomp:
  - 15
  scipy.stats._multicomp.DunnettResult:
  - 43
  - 44
  - 45
  - 46
  - 47
  - 48
  - 49
  - 50
  - 51
  - 52
  - 53
  - 28
  scipy.stats._multicomp.DunnettResult.__str__:
  - 66
  - 59
  - 60
  scipy.stats._multicomp.DunnettResult._allowance:
  - 131
  - 134
  - 77
  - 117
  - 122
  - 123
  scipy.stats._multicomp.DunnettResult._allowance.pvalue_from_stat:
  - 104
  - 109
  - 103
  scipy.stats._multicomp.DunnettResult.confidence_interval:
  - 161
  - 164
  - 170
  - 139
  - 171
  - 172
  - 173
  - 176
  - 158
  scipy.stats._multicomp._iv_dunnett:
  - 384
  - 364
  - 365
  - 367
  - 375
  - 376
  - 380
  - 381
  scipy.stats._multicomp._params_dunnett:
  - 393
  - 398
  - 401
  - 404
  - 409
  - 410
  scipy.stats._multicomp._pvalue_dunnett:
  - 448
  - 450
  - 451
  - 452
  - 453
  - 454
  - 455
  - 457
  - 459
  - 444
  scipy.stats._multicomp._statistic_dunnett:
  - 419
  - 423
  - 424
  - 426
  - 429
  - 430
  - 431
  - 434
  scipy.stats._multicomp.dunnett:
  - 329
  - 334
  - 338
  - 342
  - 346
  - 189
  scipy.stats._multivariate:
  - 6273
  - 4099
  - 3846
  - 5767
  - 5768
  - 1423
  - 1808
  - 3472
  - 1426
  - 1428
  - 5781
  - 5782
  - 5785
  - 5786
  - 5916
  - 3103
  - 3106
  - 4259
  - 36
  - 37
  - 38
  - 3108
  - 1840
  - 1843
  - 1845
  - 2489
  - 5305
  - 6271
  - 960
  - 963
  - 3523
  - 965
  - 3526
  - 3528
  - 5706
  - 1361
  - 854
  - 6877
  - 3038
  - 6240
  - 5345
  - 5348
  - 5350
  - 3693
  - 4851
  - 2550
  - 4856
  - 2553
  - 2555
  - 6268
  - 4861
  - 4859
  scipy.stats._multivariate._PSD:
  - 118
  scipy.stats._multivariate._PSD.__init__:
  - 164
  - 166
  - 167
  - 171
  - 175
  - 176
  - 183
  - 185
  - 159
  scipy.stats._multivariate._PSD._support_mask:
  - 194
  - 191
  scipy.stats._multivariate._PSD.pinv:
  - 200
  - 201
  scipy.stats._multivariate._dirichlet_check_input:
  - 1472
  - 1473
  - 1474
  - 1475
  - 1480
  - 1484
  - 1490
  - 1491
  - 1492
  - 1462
  - 1494
  - 1464
  - 1498
  - 1470
  - 1471
  scipy.stats._multivariate._dirichlet_check_parameters:
  - 1452
  - 1453
  - 1455
  scipy.stats._multivariate._dirichlet_multinomial_check_parameters:
  - 6016
  - 5990
  - 5991
  - 5993
  - 5997
  - 6002
  - 6003
  - 6007
  - 6010
  - 6011
  - 6015
  scipy.stats._multivariate._docfill:
  - 5776
  scipy.stats._multivariate._eigvalsh_to_eps:
  - 65
  - 88
  - 90
  - 91
  - 93
  - 94
  scipy.stats._multivariate._lnB:
  - 1506
  - 1523
  scipy.stats._multivariate._pinv_1d:
  - 114
  - 99
  scipy.stats._multivariate._sample_uniform_direction:
  - 5952
  - 5957
  - 5958
  - 5959
  scipy.stats._multivariate._squeeze_output:
  - 58
  - 59
  - 54
  scipy.stats._multivariate.dirichlet_frozen.__init__:
  - 1813
  - 1814
  scipy.stats._multivariate.dirichlet_frozen.cov:
  - 1829
  scipy.stats._multivariate.dirichlet_frozen.entropy:
  - 1832
  scipy.stats._multivariate.dirichlet_frozen.logpdf:
  - 1817
  scipy.stats._multivariate.dirichlet_frozen.mean:
  - 1823
  scipy.stats._multivariate.dirichlet_frozen.pdf:
  - 1820
  scipy.stats._multivariate.dirichlet_frozen.rvs:
  - 1835
  scipy.stats._multivariate.dirichlet_frozen.var:
  - 1826
  scipy.stats._multivariate.dirichlet_gen:
  - 1527
  scipy.stats._multivariate.dirichlet_gen.__call__:
  - 1639
  scipy.stats._multivariate.dirichlet_gen.__init__:
  - 1635
  - 1636
  scipy.stats._multivariate.dirichlet_gen._logpdf:
  - 1657
  - 1642
  - 1658
  scipy.stats._multivariate.dirichlet_gen.cov:
  - 1741
  - 1753
  - 1754
  - 1757
  - 1758
  scipy.stats._multivariate.dirichlet_gen.entropy:
  - 1761
  - 1775
  - 1777
  - 1778
  - 1781
  - 1782
  - 1783
  scipy.stats._multivariate.dirichlet_gen.logpdf:
  - 1675
  - 1676
  - 1678
  - 1679
  - 1661
  scipy.stats._multivariate.dirichlet_gen.mean:
  - 1715
  - 1717
  - 1718
  - 1703
  scipy.stats._multivariate.dirichlet_gen.pdf:
  - 1696
  - 1697
  - 1699
  - 1700
  - 1682
  scipy.stats._multivariate.dirichlet_gen.rvs:
  - 1786
  - 1803
  - 1804
  - 1805
  scipy.stats._multivariate.dirichlet_gen.var:
  - 1736
  - 1721
  - 1738
  - 1734
  scipy.stats._multivariate.dirichlet_multinomial_frozen.__init__:
  - 6248
  - 6245
  scipy.stats._multivariate.dirichlet_multinomial_frozen.cov:
  - 6263
  scipy.stats._multivariate.dirichlet_multinomial_frozen.logpmf:
  - 6251
  scipy.stats._multivariate.dirichlet_multinomial_frozen.mean:
  - 6257
  scipy.stats._multivariate.dirichlet_multinomial_frozen.pmf:
  - 6254
  scipy.stats._multivariate.dirichlet_multinomial_frozen.var:
  - 6260
  scipy.stats._multivariate.dirichlet_multinomial_gen:
  - 6022
  scipy.stats._multivariate.dirichlet_multinomial_gen.__call__:
  - 6134
  scipy.stats._multivariate.dirichlet_multinomial_gen.__init__:
  - 6129
  - 6130
  scipy.stats._multivariate.dirichlet_multinomial_gen.cov:
  - 6216
  - 6235
  - 6228
  - 6229
  scipy.stats._multivariate.dirichlet_multinomial_gen.logpmf:
  - 6154
  - 6156
  - 6157
  - 6158
  - 6137
  scipy.stats._multivariate.dirichlet_multinomial_gen.mean:
  - 6193
  - 6181
  scipy.stats._multivariate.dirichlet_multinomial_gen.pmf:
  - 6162
  - 6178
  scipy.stats._multivariate.dirichlet_multinomial_gen.var:
  - 6211
  - 6198
  scipy.stats._multivariate.invwishart_frozen.__init__:
  - 3043
  - 3059
  - 3060
  - 3065
  - 3066
  scipy.stats._multivariate.invwishart_frozen.entropy:
  - 3098
  scipy.stats._multivariate.invwishart_frozen.logpdf:
  - 3072
  - 3069
  - 3070
  scipy.stats._multivariate.invwishart_frozen.mean:
  - 3078
  - 3079
  scipy.stats._multivariate.invwishart_frozen.mode:
  - 3082
  - 3083
  scipy.stats._multivariate.invwishart_frozen.pdf:
  - 3075
  scipy.stats._multivariate.invwishart_frozen.rvs:
  - 3090
  - 3092
  - 3095
  scipy.stats._multivariate.invwishart_frozen.var:
  - 3086
  - 3087
  scipy.stats._multivariate.invwishart_gen:
  - 2559
  scipy.stats._multivariate.invwishart_gen.__call__:
  - 2684
  - 2679
  scipy.stats._multivariate.invwishart_gen.__init__:
  - 2675
  - 2676
  scipy.stats._multivariate.invwishart_gen._entropy:
  - 3025
  - 3026
  - 3027
  - 3030
  scipy.stats._multivariate.invwishart_gen._inv_standard_rvs:
  - 2896
  - 2931
  - 2934
  - 2936
  - 2941
  - 2943
  scipy.stats._multivariate.invwishart_gen._logpdf:
  - 2725
  - 2719
  - 2710
  - 2711
  - 2712
  - 2713
  - 2714
  - 2715
  - 2716
  - 2717
  - 2687
  scipy.stats._multivariate.invwishart_gen._mean:
  - 2792
  - 2778
  scipy.stats._multivariate.invwishart_gen._mode:
  - 2819
  scipy.stats._multivariate.invwishart_gen._rvs:
  - 2977
  - 2978
  - 2980
  - 2981
  - 2950
  - 2984
  - 2986
  - 2972
  - 2974
  scipy.stats._multivariate.invwishart_gen._var:
  - 2869
  - 2867
  - 2853
  - 2870
  scipy.stats._multivariate.invwishart_gen.entropy:
  - 3033
  - 3034
  - 3035
  scipy.stats._multivariate.invwishart_gen.logpdf:
  - 2752
  - 2753
  - 2730
  - 2749
  - 2750
  - 2751
  scipy.stats._multivariate.invwishart_gen.mean:
  - 2816
  - 2815
  - 2814
  - 2799
  scipy.stats._multivariate.invwishart_gen.mode:
  - 2848
  - 2849
  - 2850
  - 2836
  scipy.stats._multivariate.invwishart_gen.pdf:
  - 2756
  - 2775
  scipy.stats._multivariate.invwishart_gen.rvs:
  - 3013
  - 3014
  - 3017
  - 3019
  - 3021
  - 2993
  scipy.stats._multivariate.invwishart_gen.var:
  - 2891
  - 2892
  - 2877
  - 2893
  scipy.stats._multivariate.matrix_normal_frozen:
  - 1365
  scipy.stats._multivariate.matrix_normal_frozen.__init__:
  - 1400
  - 1396
  - 1398
  - 1399
  scipy.stats._multivariate.matrix_normal_frozen.entropy:
  - 1417
  scipy.stats._multivariate.matrix_normal_frozen.logpdf:
  - 1403
  - 1404
  - 1407
  scipy.stats._multivariate.matrix_normal_frozen.pdf:
  - 1410
  scipy.stats._multivariate.matrix_normal_frozen.rvs:
  - 1413
  scipy.stats._multivariate.matrix_normal_gen:
  - 1007
  scipy.stats._multivariate.matrix_normal_gen.__call__:
  - 1112
  - 1117
  scipy.stats._multivariate.matrix_normal_gen.__init__:
  - 1108
  - 1109
  scipy.stats._multivariate.matrix_normal_gen._logpdf:
  - 1229
  - 1230
  - 1231
  - 1200
  - 1232
  scipy.stats._multivariate.matrix_normal_gen._process_parameters:
  - 1153
  - 1154
  - 1155
  - 1156
  - 1158
  - 1159
  - 1160
  - 1162
  - 1164
  - 1166
  - 1171
  - 1172
  - 1175
  - 1179
  - 1120
  - 1126
  - 1127
  - 1129
  - 1131
  - 1135
  - 1136
  - 1137
  - 1138
  - 1140
  - 1141
  - 1142
  - 1144
  - 1146
  - 1148
  scipy.stats._multivariate.matrix_normal_gen._process_quantiles:
  - 1193
  - 1186
  - 1190
  - 1191
  scipy.stats._multivariate.matrix_normal_gen.entropy:
  - 1346
  - 1347
  - 1350
  - 1351
  - 1353
  - 1327
  scipy.stats._multivariate.matrix_normal_gen.logpdf:
  - 1255
  - 1257
  - 1258
  - 1259
  - 1260
  - 1262
  - 1237
  scipy.stats._multivariate.matrix_normal_gen.pdf:
  - 1265
  - 1283
  scipy.stats._multivariate.matrix_normal_gen.rvs:
  - 1316
  - 1286
  - 1319
  - 1322
  - 1323
  - 1306
  - 1307
  - 1309
  - 1310
  - 1311
  scipy.stats._multivariate.multi_rv_frozen:
  - 240
  scipy.stats._multivariate.multi_rv_frozen.random_state:
  - 250
  scipy.stats._multivariate.multi_rv_generic:
  - 206
  scipy.stats._multivariate.multi_rv_generic.__init__:
  - 211
  - 212
  scipy.stats._multivariate.multi_rv_generic._get_random_state:
  - 233
  - 234
  scipy.stats._multivariate.multi_rv_generic.random_state:
  - 216
  - 230
  scipy.stats._multivariate.multinomial_frozen:
  - 3476
  scipy.stats._multivariate.multinomial_frozen.__init__:
  - 3493
  - 3494
  scipy.stats._multivariate.multinomial_frozen.cov:
  - 3512
  scipy.stats._multivariate.multinomial_frozen.entropy:
  - 3515
  scipy.stats._multivariate.multinomial_frozen.logpmf:
  - 3503
  scipy.stats._multivariate.multinomial_frozen.mean:
  - 3509
  scipy.stats._multivariate.multinomial_frozen.pmf:
  - 3506
  scipy.stats._multivariate.multinomial_frozen.rvs:
  - 3518
  scipy.stats._multivariate.multinomial_gen:
  - 3143
  scipy.stats._multivariate.multinomial_gen.__call__:
  - 3257
  - 3253
  scipy.stats._multivariate.multinomial_gen.__init__:
  - 3248
  - 3250
  scipy.stats._multivariate.multinomial_gen._checkresult:
  - 3305
  - 3307
  - 3309
  - 3310
  scipy.stats._multivariate.multinomial_gen._logpmf:
  - 3316
  scipy.stats._multivariate.multinomial_gen._process_parameters:
  - 3265
  - 3266
  - 3267
  - 3271
  - 3272
  - 3274
  - 3260
  scipy.stats._multivariate.multinomial_gen._process_quantiles:
  - 3298
  - 3299
  - 3300
  - 3282
  - 3287
  - 3289
  - 3292
  scipy.stats._multivariate.multinomial_gen.cov:
  - 3398
  - 3401
  - 3404
  - 3407
  - 3387
  scipy.stats._multivariate.multinomial_gen.entropy:
  - 3432
  - 3434
  - 3436
  - 3437
  - 3440
  - 3410
  - 3443
  - 3446
  scipy.stats._multivariate.multinomial_gen.logpmf:
  - 3336
  - 3337
  - 3339
  - 3343
  - 3344
  - 3347
  - 3348
  - 3319
  scipy.stats._multivariate.multinomial_gen.mean:
  - 3384
  - 3371
  - 3382
  scipy.stats._multivariate.multinomial_gen.pmf:
  - 3368
  - 3351
  scipy.stats._multivariate.multinomial_gen.rvs:
  - 3449
  - 3467
  - 3468
  - 3469
  scipy.stats._multivariate.multivariate_hypergeom_frozen.__init__:
  - 5313
  - 5310
  scipy.stats._multivariate.multivariate_hypergeom_frozen.cov:
  - 5335
  scipy.stats._multivariate.multivariate_hypergeom_frozen.logpmf:
  - 5323
  scipy.stats._multivariate.multivariate_hypergeom_frozen.mean:
  - 5329
  scipy.stats._multivariate.multivariate_hypergeom_frozen.pmf:
  - 5326
  scipy.stats._multivariate.multivariate_hypergeom_frozen.rvs:
  - 5338
  scipy.stats._multivariate.multivariate_hypergeom_frozen.var:
  - 5332
  scipy.stats._multivariate.multivariate_hypergeom_gen:
  - 4902
  scipy.stats._multivariate.multivariate_hypergeom_gen.__call__:
  - 5019
  - 5023
  scipy.stats._multivariate.multivariate_hypergeom_gen.__init__:
  - 5016
  - 5015
  scipy.stats._multivariate.multivariate_hypergeom_gen._checkresult:
  - 5088
  - 5090
  - 5085
  - 5086
  scipy.stats._multivariate.multivariate_hypergeom_gen._logpmf:
  - 5097
  - 5098
  - 5101
  - 5102
  - 5105
  scipy.stats._multivariate.multivariate_hypergeom_gen._process_parameters:
  - 5026
  - 5027
  - 5028
  - 5029
  - 5030
  - 5031
  - 5032
  - 5034
  - 5036
  - 5041
  - 5044
  - 5047
  - 5052
  - 5055
  scipy.stats._multivariate.multivariate_hypergeom_gen._process_quantiles:
  - 5058
  - 5059
  - 5061
  - 5064
  - 5070
  - 5074
  - 5077
  - 5082
  scipy.stats._multivariate.multivariate_hypergeom_gen.cov:
  - 5247
  - 5249
  - 5250
  - 5228
  - 5230
  - 5234
  - 5236
  - 5238
  - 5243
  - 5215
  scipy.stats._multivariate.multivariate_hypergeom_gen.logpmf:
  - 5126
  - 5128
  - 5130
  - 5132
  - 5136
  - 5137
  - 5109
  - 5141
  - 5142
  scipy.stats._multivariate.multivariate_hypergeom_gen.mean:
  - 5184
  - 5186
  - 5187
  - 5166
  - 5177
  - 5179
  - 5182
  scipy.stats._multivariate.multivariate_hypergeom_gen.pmf:
  - 5145
  - 5162
  scipy.stats._multivariate.multivariate_hypergeom_gen.rvs:
  - 5280
  - 5283
  - 5284
  - 5253
  - 5286
  - 5291
  - 5295
  - 5276
  - 5278
  scipy.stats._multivariate.multivariate_hypergeom_gen.var:
  - 5190
  - 5202
  - 5204
  - 5207
  - 5209
  - 5211
  - 5212
  scipy.stats._multivariate.multivariate_normal_frozen.__init__:
  - 905
  - 860
  - 901
  - 903
  scipy.stats._multivariate.multivariate_normal_frozen.cdf:
  - 936
  - 939
  - 935
  scipy.stats._multivariate.multivariate_normal_frozen.entropy:
  - 945
  scipy.stats._multivariate.multivariate_normal_frozen.logcdf:
  - 930
  - 931
  - 927
  scipy.stats._multivariate.multivariate_normal_frozen.logpdf:
  - 916
  - 917
  - 918
  - 919
  - 921
  scipy.stats._multivariate.multivariate_normal_frozen.pdf:
  - 924
  scipy.stats._multivariate.multivariate_normal_frozen.rvs:
  - 942
  scipy.stats._multivariate.multivariate_normal_gen:
  - 290
  scipy.stats._multivariate.multivariate_normal_gen.__call__:
  - 393
  - 397
  scipy.stats._multivariate.multivariate_normal_gen.__init__:
  - 389
  - 390
  scipy.stats._multivariate.multivariate_normal_gen._cdf:
  - 642
  - 643
  - 623
  - 594
  - 629
  - 631
  - 632
  - 635
  scipy.stats._multivariate.multivariate_normal_gen._cdf.func1d:
  - 639
  scipy.stats._multivariate.multivariate_normal_gen._logpdf:
  - 531
  - 534
  - 511
  scipy.stats._multivariate.multivariate_normal_gen._process_parameters:
  - 421
  - 422
  - 402
  - 406
  - 407
  - 414
  scipy.stats._multivariate.multivariate_normal_gen._process_parameters_Covariance:
  - 427
  - 431
  scipy.stats._multivariate.multivariate_normal_gen._process_parameters_psd:
  - 438
  - 439
  - 440
  - 443
  - 444
  - 449
  - 452
  - 458
  - 459
  - 460
  - 462
  - 464
  - 466
  - 467
  - 468
  - 470
  - 473
  - 474
  - 475
  - 476
  - 477
  - 479
  - 481
  - 485
  - 487
  scipy.stats._multivariate.multivariate_normal_gen._process_quantiles:
  - 494
  - 498
  - 500
  - 502
  - 503
  scipy.stats._multivariate.multivariate_normal_gen.cdf:
  - 722
  - 692
  - 725
  - 726
  - 728
  scipy.stats._multivariate.multivariate_normal_gen.entropy:
  - 769
  - 785
  scipy.stats._multivariate.multivariate_normal_gen.fit:
  - 833
  - 835
  - 842
  - 843
  - 812
  - 813
  - 844
  - 820
  - 789
  - 822
  - 823
  - 829
  - 831
  scipy.stats._multivariate.multivariate_normal_gen.logcdf:
  - 677
  - 647
  - 680
  - 681
  - 683
  - 686
  - 687
  scipy.stats._multivariate.multivariate_normal_gen.logpdf:
  - 556
  - 558
  - 559
  - 560
  - 561
  - 563
  - 538
  scipy.stats._multivariate.multivariate_normal_gen.pdf:
  - 584
  - 586
  - 587
  - 588
  - 589
  - 591
  - 566
  scipy.stats._multivariate.multivariate_normal_gen.rvs:
  - 764
  - 752
  - 753
  - 755
  - 757
  - 758
  - 760
  - 761
  - 763
  - 732
  - 765
  scipy.stats._multivariate.multivariate_t_frozen.__init__:
  - 4800
  - 4820
  - 4821
  - 4823
  scipy.stats._multivariate.multivariate_t_frozen.cdf:
  - 4833
  - 4834
  scipy.stats._multivariate.multivariate_t_frozen.entropy:
  - 4848
  scipy.stats._multivariate.multivariate_t_frozen.logpdf:
  - 4826
  - 4829
  scipy.stats._multivariate.multivariate_t_frozen.pdf:
  - 4838
  scipy.stats._multivariate.multivariate_t_frozen.rvs:
  - 4841
  scipy.stats._multivariate.multivariate_t_gen:
  - 4328
  scipy.stats._multivariate.multivariate_t_gen.__call__:
  - 4424
  - 4432
  - 4428
  - 4429
  scipy.stats._multivariate.multivariate_t_gen.__init__:
  - 4418
  - 4411
  - 4420
  - 4419
  scipy.stats._multivariate.multivariate_t_gen._cdf:
  - 4578
  - 4581
  - 4551
  - 4552
  - 4556
  - 4559
  - 4560
  - 4566
  - 4568
  - 4569
  - 4572
  scipy.stats._multivariate.multivariate_t_gen._cdf.func1d:
  - 4576
  scipy.stats._multivariate.multivariate_t_gen._entropy:
  - 4653
  - 4654
  - 4623
  - 4624
  - 4626
  scipy.stats._multivariate.multivariate_t_gen._entropy.asymptotic:
  - 4644
  scipy.stats._multivariate.multivariate_t_gen._entropy.regular:
  - 4633
  - 4634
  - 4635
  scipy.stats._multivariate.multivariate_t_gen._logpdf:
  - 4529
  - 4530
  - 4533
  - 4502
  - 4536
  - 4537
  - 4538
  - 4540
  - 4542
  scipy.stats._multivariate.multivariate_t_gen._process_parameters:
  - 4736
  - 4740
  - 4741
  - 4742
  - 4744
  - 4745
  - 4746
  - 4750
  - 4751
  - 4752
  - 4754
  - 4756
  - 4757
  - 4760
  - 4761
  - 4762
  - 4764
  - 4767
  - 4768
  - 4769
  - 4770
  - 4771
  - 4773
  - 4775
  - 4779
  - 4781
  - 4786
  - 4788
  - 4790
  scipy.stats._multivariate.multivariate_t_gen._process_quantiles:
  - 4721
  - 4725
  - 4726
  - 4728
  - 4729
  scipy.stats._multivariate.multivariate_t_gen.cdf:
  - 4616
  - 4585
  - 4619
  - 4617
  scipy.stats._multivariate.multivariate_t_gen.entropy:
  - 4657
  - 4670
  - 4671
  scipy.stats._multivariate.multivariate_t_gen.logpdf:
  - 4495
  - 4496
  - 4497
  - 4498
  - 4467
  scipy.stats._multivariate.multivariate_t_gen.pdf:
  - 4459
  - 4460
  - 4461
  - 4462
  - 4464
  - 4436
  scipy.stats._multivariate.multivariate_t_gen.rvs:
  - 4705
  - 4674
  - 4707
  - 4706
  - 4711
  - 4712
  - 4714
  - 4716
  - 4717
  - 4718
  scipy.stats._multivariate.ortho_group_frozen.__init__:
  - 3872
  - 3873
  - 3851
  scipy.stats._multivariate.ortho_group_frozen.rvs:
  - 3876
  scipy.stats._multivariate.ortho_group_gen:
  - 3727
  scipy.stats._multivariate.ortho_group_gen.__call__:
  - 3802
  - 3798
  scipy.stats._multivariate.ortho_group_gen.__init__:
  - 3794
  - 3795
  scipy.stats._multivariate.ortho_group_gen._process_parameters:
  - 3805
  - 3806
  scipy.stats._multivariate.ortho_group_gen.rvs:
  - 3842
  - 3813
  - 3828
  - 3830
  - 3832
  - 3835
  - 3836
  - 3839
  scipy.stats._multivariate.random_correlation_frozen.__init__:
  - 4104
  - 4136
  - 4139
  scipy.stats._multivariate.random_correlation_frozen.rvs:
  - 4142
  scipy.stats._multivariate.random_correlation_gen:
  - 3880
  scipy.stats._multivariate.random_correlation_gen.__call__:
  - 3960
  - 3964
  scipy.stats._multivariate.random_correlation_gen.__init__:
  - 3956
  - 3957
  scipy.stats._multivariate.random_correlation_gen._givens_to_1:
  - 4001
  - 4005
  - 4008
  - 4009
  - 4010
  - 3985
  scipy.stats._multivariate.random_correlation_gen._process_parameters:
  - 3968
  - 3971
  - 3975
  - 3978
  - 3979
  scipy.stats._multivariate.random_correlation_gen._to_corr:
  - 4032
  - 4033
  - 4034
  - 4037
  - 4038
  - 4041
  - 4048
  - 4049
  - 4018
  - 4052
  - 4024
  - 4029
  - 4030
  scipy.stats._multivariate.random_correlation_gen.rvs:
  - 4084
  - 4086
  - 4088
  - 4089
  - 4090
  - 4059
  - 4093
  scipy.stats._multivariate.random_table_frozen.__init__:
  - 5712
  - 5711
  scipy.stats._multivariate.random_table_frozen.logpmf:
  - 5720
  scipy.stats._multivariate.random_table_frozen.mean:
  - 5726
  scipy.stats._multivariate.random_table_frozen.pmf:
  - 5723
  scipy.stats._multivariate.random_table_frozen.rvs:
  - 5730
  scipy.stats._multivariate.random_table_gen:
  - 5355
  scipy.stats._multivariate.random_table_gen.__call__:
  - 5425
  - 5429
  scipy.stats._multivariate.random_table_gen.__init__:
  - 5422
  scipy.stats._multivariate.random_table_gen._process_parameters:
  - 5635
  - 5636
  - 5638
  - 5640
  - 5643
  - 5645
  - 5648
  - 5649
  - 5652
  - 5654
  - 5630
  scipy.stats._multivariate.random_table_gen._process_rvs_method:
  - 5678
  scipy.stats._multivariate.random_table_gen._process_size_shape:
  - 5664
  - 5666
  - 5669
  - 5670
  - 5673
  - 5661
  scipy.stats._multivariate.random_table_gen._rvs_boyett:
  - 5699
  scipy.stats._multivariate.random_table_gen._rvs_patefield:
  - 5703
  scipy.stats._multivariate.random_table_gen._rvs_select:
  - 5691
  - 5693
  scipy.stats._multivariate.random_table_gen.logpmf:
  - 5472
  - 5475
  - 5476
  - 5477
  - 5481
  - 5484
  - 5485
  - 5487
  - 5490
  - 5501
  - 5493
  - 5495
  - 5432
  - 5500
  - 5469
  - 5470
  scipy.stats._multivariate.random_table_gen.logpmf.lnfac:
  - 5498
  scipy.stats._multivariate.random_table_gen.mean:
  - 5577
  - 5578
  - 5547
  scipy.stats._multivariate.random_table_gen.pmf:
  - 5544
  - 5507
  scipy.stats._multivariate.random_table_gen.rvs:
  - 5581
  - 5620
  - 5621
  - 5623
  - 5624
  - 5626
  scipy.stats._multivariate.special_ortho_group_frozen.__init__:
  - 3720
  - 3698
  - 3719
  scipy.stats._multivariate.special_ortho_group_frozen.rvs:
  - 3723
  scipy.stats._multivariate.special_ortho_group_gen:
  - 3533
  scipy.stats._multivariate.special_ortho_group_gen.__call__:
  - 3611
  - 3615
  scipy.stats._multivariate.special_ortho_group_gen.__init__:
  - 3608
  - 3607
  scipy.stats._multivariate.special_ortho_group_gen._process_parameters:
  - 3618
  - 3619
  scipy.stats._multivariate.special_ortho_group_gen.rvs:
  - 3681
  - 3683
  - 3652
  - 3653
  - 3654
  - 3656
  - 3626
  - 3662
  - 3673
  - 3669
  - 3671
  - 3672
  - 3641
  - 3643
  - 3677
  - 3646
  scipy.stats._multivariate.uniform_direction_frozen.__init__:
  - 5944
  - 5921
  - 5945
  scipy.stats._multivariate.uniform_direction_frozen.rvs:
  - 5948
  scipy.stats._multivariate.uniform_direction_gen:
  - 5790
  scipy.stats._multivariate.uniform_direction_gen.__call__:
  - 5864
  - 5860
  scipy.stats._multivariate.uniform_direction_gen.__init__:
  - 5856
  - 5857
  scipy.stats._multivariate.uniform_direction_gen._process_parameters:
  - 5872
  - 5867
  - 5868
  scipy.stats._multivariate.uniform_direction_gen.rvs:
  - 5905
  - 5906
  - 5907
  - 5875
  - 5908
  - 5910
  - 5912
  scipy.stats._multivariate.unitary_group_frozen.__init__:
  - 4264
  - 4285
  - 4286
  scipy.stats._multivariate.unitary_group_frozen.rvs:
  - 4289
  scipy.stats._multivariate.unitary_group_gen:
  - 4147
  scipy.stats._multivariate.unitary_group_gen.__call__:
  - 4210
  - 4214
  scipy.stats._multivariate.unitary_group_gen.__init__:
  - 4206
  - 4207
  scipy.stats._multivariate.unitary_group_gen._process_parameters:
  - 4217
  - 4218
  scipy.stats._multivariate.unitary_group_gen.rvs:
  - 4225
  - 4240
  - 4242
  - 4244
  - 4247
  - 4248
  - 4249
  - 4252
  - 4255
  scipy.stats._multivariate.vonmises_fisher_frozen.__init__:
  - 6882
  - 6900
  - 6902
  scipy.stats._multivariate.vonmises_fisher_frozen.entropy:
  - 6971
  - 6981
  scipy.stats._multivariate.vonmises_fisher_frozen.logpdf:
  - 6920
  - 6906
  scipy.stats._multivariate.vonmises_fisher_frozen.pdf:
  - 6937
  - 6923
  scipy.stats._multivariate.vonmises_fisher_frozen.rvs:
  - 6940
  - 6966
  - 6967
  scipy.stats._multivariate.vonmises_fisher_gen:
  - 6278
  scipy.stats._multivariate.vonmises_fisher_gen.__call__:
  - 6496
  - 6492
  scipy.stats._multivariate.vonmises_fisher_gen.__init__:
  - 6489
  scipy.stats._multivariate.vonmises_fisher_gen._check_data_vs_dist:
  - 6523
  - 6527
  scipy.stats._multivariate.vonmises_fisher_gen._entropy:
  - 6803
  - 6804
  scipy.stats._multivariate.vonmises_fisher_gen._log_norm_factor:
  - 6542
  - 6543
  scipy.stats._multivariate.vonmises_fisher_gen._logpdf:
  - 6546
  - 6552
  - 6553
  - 6554
  - 6555
  scipy.stats._multivariate.vonmises_fisher_gen._process_parameters:
  - 6499
  - 6503
  - 6504
  - 6506
  - 6508
  - 6511
  - 6513
  scipy.stats._multivariate.vonmises_fisher_gen._rejection_sampling:
  - 6658
  - 6659
  - 6661
  - 6665
  - 6667
  - 6683
  - 6684
  - 6686
  - 6691
  - 6699
  - 6702
  - 6704
  - 6705
  - 6709
  - 6711
  - 6712
  - 6713
  - 6715
  - 6716
  - 6718
  - 6650
  scipy.stats._multivariate.vonmises_fisher_gen._rotate_samples:
  - 6722
  - 6737
  - 6739
  - 6740
  - 6741
  - 6747
  scipy.stats._multivariate.vonmises_fisher_gen._rvs:
  - 6752
  - 6753
  - 6754
  - 6756
  - 6759
  - 6760
  - 6751
  scipy.stats._multivariate.vonmises_fisher_gen._rvs_2d:
  - 6614
  - 6613
  - 6606
  - 6615
  scipy.stats._multivariate.vonmises_fisher_gen._rvs_3d:
  - 6629
  - 6635
  - 6636
  - 6640
  - 6641
  - 6642
  - 6645
  - 6646
  - 6620
  scipy.stats._multivariate.vonmises_fisher_gen.entropy:
  - 6824
  - 6825
  - 6807
  scipy.stats._multivariate.vonmises_fisher_gen.fit:
  - 6848
  - 6850
  - 6856
  - 6828
  - 6871
  - 6847
  scipy.stats._multivariate.vonmises_fisher_gen.fit.solve_for_kappa:
  - 6868
  scipy.stats._multivariate.vonmises_fisher_gen.logpdf:
  - 6578
  - 6579
  - 6558
  scipy.stats._multivariate.vonmises_fisher_gen.pdf:
  - 6602
  - 6603
  - 6582
  scipy.stats._multivariate.vonmises_fisher_gen.rvs:
  - 6796
  - 6764
  - 6797
  - 6798
  scipy.stats._multivariate.wishart_frozen:
  - 2493
  scipy.stats._multivariate.wishart_frozen.__init__:
  - 2512
  - 2514
  - 2511
  scipy.stats._multivariate.wishart_frozen.entropy:
  - 2545
  scipy.stats._multivariate.wishart_frozen.logpdf:
  - 2521
  - 2517
  - 2519
  scipy.stats._multivariate.wishart_frozen.mean:
  - 2528
  - 2527
  scipy.stats._multivariate.wishart_frozen.mode:
  - 2531
  - 2532
  scipy.stats._multivariate.wishart_frozen.pdf:
  - 2524
  scipy.stats._multivariate.wishart_frozen.rvs:
  - 2539
  - 2540
  - 2542
  scipy.stats._multivariate.wishart_frozen.var:
  - 2536
  - 2535
  scipy.stats._multivariate.wishart_gen:
  - 1877
  scipy.stats._multivariate.wishart_gen.__call__:
  - 1993
  - 1997
  scipy.stats._multivariate.wishart_gen.__init__:
  - 1989
  - 1990
  scipy.stats._multivariate.wishart_gen._cholesky_logdet:
  - 2464
  - 2484
  - 2485
  scipy.stats._multivariate.wishart_gen._entropy:
  - 2435
  - 2436
  - 2437
  - 2415
  scipy.stats._multivariate.wishart_gen._logpdf:
  - 2080
  - 2113
  - 2112
  - 2114
  - 2115
  - 2116
  - 2121
  - 2110
  - 2111
  scipy.stats._multivariate.wishart_gen._mean:
  - 2177
  scipy.stats._multivariate.wishart_gen._mode:
  - 2224
  - 2210
  scipy.stats._multivariate.wishart_gen._process_parameters:
  - 2018
  - 2020
  - 2022
  - 2000
  - 2002
  - 2004
  - 2006
  - 2007
  - 2008
  - 2012
  scipy.stats._multivariate.wishart_gen._process_quantiles:
  - 2048
  - 2049
  - 2053
  - 2059
  - 2029
  - 2033
  - 2035
  - 2036
  - 2037
  - 2038
  - 2041
  - 2042
  - 2043
  scipy.stats._multivariate.wishart_gen._process_size:
  - 2066
  - 2068
  - 2070
  - 2074
  - 2075
  scipy.stats._multivariate.wishart_gen._rvs:
  - 2339
  - 2377
  - 2378
  - 2379
  - 2361
  - 2364
  scipy.stats._multivariate.wishart_gen._standard_rvs:
  - 2316
  - 2287
  - 2320
  - 2321
  - 2325
  - 2328
  - 2329
  - 2333
  scipy.stats._multivariate.wishart_gen._var:
  - 2266
  - 2265
  - 2250
  scipy.stats._multivariate.wishart_gen.entropy:
  - 2460
  - 2443
  - 2459
  - 2461
  scipy.stats._multivariate.wishart_gen.logpdf:
  - 2145
  - 2146
  - 2149
  - 2151
  - 2152
  - 2126
  scipy.stats._multivariate.wishart_gen.mean:
  - 2194
  - 2205
  - 2206
  - 2207
  scipy.stats._multivariate.wishart_gen.mode:
  - 2247
  - 2245
  - 2246
  - 2231
  scipy.stats._multivariate.wishart_gen.pdf:
  - 2155
  - 2174
  scipy.stats._multivariate.wishart_gen.rvs:
  - 2404
  - 2405
  - 2408
  - 2410
  - 2412
  - 2384
  scipy.stats._multivariate.wishart_gen.var:
  - 2282
  - 2283
  - 2284
  - 2271
  scipy.stats._odds_ratio.OddsRatioResult:
  - 175
  scipy.stats._odds_ratio.OddsRatioResult._conditional_odds_ratio_ci:
  - 302
  - 289
  - 299
  - 294
  scipy.stats._odds_ratio.OddsRatioResult._sample_odds_ratio_ci:
  - 321
  - 306
  - 309
  - 313
  - 318
  scipy.stats._odds_ratio.OddsRatioResult.confidence_interval:
  - 274
  - 211
  - 278
  - 281
  - 282
  - 284
  scipy.stats._odds_ratio._ci_lower:
  - 97
  - 100
  - 105
  - 103
  scipy.stats._odds_ratio._ci_lower.<lambda1>:
  - 105
  scipy.stats._odds_ratio._ci_upper:
  - 88
  - 82
  - 92
  - 85
  scipy.stats._odds_ratio._ci_upper.<lambda1>:
  - 92
  scipy.stats._odds_ratio._conditional_oddsratio:
  - 128
  - 110
  - 113
  - 117
  - 121
  - 124
  scipy.stats._odds_ratio._conditional_oddsratio_ci:
  - 134
  - 137
  - 139
  - 140
  - 141
  - 143
  - 146
  scipy.stats._odds_ratio._hypergeom_params_from_table:
  - 75
  - 76
  - 77
  scipy.stats._odds_ratio._nc_hypergeom_mean_inverse:
  - 67
  - 61
  scipy.stats._odds_ratio._nc_hypergeom_mean_inverse.<lambda1>:
  - 67
  scipy.stats._odds_ratio._sample_odds_ratio:
  - 17
  - 10
  - 19
  scipy.stats._odds_ratio._sample_odds_ratio_ci:
  - 161
  - 162
  - 167
  - 171
  - 154
  - 155
  - 156
  - 157
  - 158
  scipy.stats._odds_ratio._solve:
  - 34
  - 35
  - 42
  - 44
  - 50
  - 56
  - 27
  scipy.stats._odds_ratio.odds_ratio:
  - 481
  - 453
  - 325
  - 456
  - 458
  - 462
  - 465
  - 467
  - 470
  - 473
  - 476
  - 477
  - 479
  scipy.stats._page_trend_test:
  - 479
  scipy.stats._page_trend_test._PageL:
  - 413
  scipy.stats._page_trend_test._PageL.__init__:
  - 416
  scipy.stats._page_trend_test._PageL.p_l_k_1:
  - 431
  - 434
  - 436
  - 438
  - 440
  - 442
  scipy.stats._page_trend_test._PageL.pmf:
  - 449
  - 455
  - 458
  - 459
  - 460
  - 462
  - 466
  - 467
  - 470
  - 471
  - 472
  - 445
  - 447
  scipy.stats._page_trend_test._PageL.set_k:
  - 420
  scipy.stats._page_trend_test._PageL.sf:
  - 426
  - 427
  - 428
  scipy.stats._page_trend_test._choose_method:
  - 368
  - 370
  scipy.stats._page_trend_test._l_p_asymptotic:
  - 387
  - 396
  - 399
  scipy.stats._page_trend_test._l_p_exact:
  - 408
  - 409
  - 404
  - 407
  scipy.stats._page_trend_test._l_vectorized:
  - 378
  - 379
  - 381
  - 382
  scipy.stats._page_trend_test.page_trend_test:
  - 17
  - 313
  - 316
  - 317
  - 321
  - 325
  - 330
  - 333
  - 337
  - 340
  - 341
  - 343
  - 344
  - 345
  - 346
  - 351
  - 355
  - 358
  - 359
  - 361
  - 363
  scipy.stats._qmc:
  - 1
  - 21
  scipy.stats._qmc.Halton:
  - 1080
  scipy.stats._qmc.Halton.__init__:
  - 1186
  - 1189
  - 1182
  scipy.stats._qmc.Halton._initialize_permutations:
  - 1192
  - 1196
  - 1197
  - 1198
  - 1199
  scipy.stats._qmc.Halton._random:
  - 1225
  - 1227
  - 1231
  - 1233
  - 1208
  scipy.stats._qmc.LatinHypercube:
  - 1237
  scipy.stats._qmc.LatinHypercube.__init__:
  - 1442
  - 1430
  scipy.stats._qmc.LatinHypercube._random:
  - 1448
  scipy.stats._qmc.LatinHypercube._random_lhs:
  - 1452
  - 1453
  - 1456
  - 1458
  - 1460
  - 1461
  scipy.stats._qmc.LatinHypercube._random_oa_lhs:
  - 1468
  - 1469
  - 1473
  - 1474
  - 1479
  - 1482
  - 1485
  - 1486
  - 1488
  - 1489
  - 1493
  - 1494
  - 1495
  - 1499
  - 1500
  - 1502
  - 1503
  - 1505
  - 1508
  scipy.stats._qmc.MultinomialQMC:
  - 2334
  scipy.stats._qmc.MultinomialQMC.__init__:
  - 2383
  - 2384
  - 2386
  - 2389
  - 2390
  - 2393
  - 2394
  scipy.stats._qmc.MultinomialQMC.random:
  - 2402
  - 2415
  - 2416
  - 2417
  - 2418
  - 2419
  - 2420
  - 2421
  scipy.stats._qmc.MultivariateNormalQMC:
  - 2177
  scipy.stats._qmc.MultivariateNormalQMC.__init__:
  - 2218
  - 2220
  - 2222
  - 2225
  - 2228
  - 2232
  - 2234
  - 2235
  - 2237
  - 2238
  - 2239
  - 2241
  - 2242
  - 2251
  - 2253
  - 2256
  - 2257
  - 2260
  - 2261
  scipy.stats._qmc.MultivariateNormalQMC._correlate:
  - 2294
  scipy.stats._qmc.MultivariateNormalQMC._standard_normal_samples:
  - 2315
  - 2316
  - 2319
  - 2322
  - 2323
  - 2325
  - 2326
  - 2327
  - 2301
  scipy.stats._qmc.MultivariateNormalQMC.random:
  - 2290
  - 2291
  - 2277
  scipy.stats._qmc.PoissonDisk:
  - 1853
  scipy.stats._qmc.PoissonDisk.__init__:
  - 2011
  - 1991
  - 2005
  - 2006
  - 2007
  - 2008
  - 1979
  scipy.stats._qmc.PoissonDisk._hypersphere_surface_sample:
  - 2169
  - 2170
  - 2171
  - 2172
  scipy.stats._qmc.PoissonDisk._hypersphere_volume_sample:
  - 2154
  - 2156
  - 2157
  - 2158
  - 2159
  - 2160
  - 2162
  scipy.stats._qmc.PoissonDisk._initialize_grid_pool:
  - 2018
  - 2019
  - 2014
  - 2023
  scipy.stats._qmc.PoissonDisk._random:
  - 2115
  - 2086
  - 2088
  - 2028
  - 2094
  - 2108
  - 2096
  - 2101
  - 2106
  - 2107
  - 2044
  - 2045
  - 2111
  scipy.stats._qmc.PoissonDisk._random.add_sample:
  - 2080
  - 2081
  - 2082
  - 2079
  scipy.stats._qmc.PoissonDisk._random.in_limits:
  - 2048
  scipy.stats._qmc.PoissonDisk._random.in_neighborhood:
  - 2051
  - 2055
  - 2056
  - 2057
  - 2060
  - 2063
  - 2067
  - 2068
  - 2069
  - 2070
  scipy.stats._qmc.PoissonDisk.fill_space:
  - 2118
  - 2135
  scipy.stats._qmc.PoissonDisk.reset:
  - 2138
  - 2147
  - 2146
  scipy.stats._qmc.QMCEngine:
  - 792
  scipy.stats._qmc.QMCEngine.__init__:
  - 928
  - 901
  - 906
  - 908
  - 912
  - 913
  scipy.stats._qmc.QMCEngine._random:
  - 934
  scipy.stats._qmc.QMCEngine.fast_forward:
  - 1075
  - 1062
  scipy.stats._qmc.QMCEngine.integers:
  - 1025
  - 1026
  - 1028
  - 1031
  - 1032
  - 1037
  - 974
  - 1038
  - 1040
  - 1042
  - 1043
  - 1021
  scipy.stats._qmc.QMCEngine.random:
  - 960
  - 939
  - 958
  - 959
  scipy.stats._qmc.QMCEngine.reset:
  - 1048
  - 1057
  - 1056
  scipy.stats._qmc.Sobol:
  - 1516
  scipy.stats._qmc.Sobol.__init__:
  - 1696
  - 1665
  - 1666
  - 1702
  - 1704
  - 1674
  - 1677
  - 1679
  - 1687
  - 1688
  - 1690
  - 1691
  - 1694
  scipy.stats._qmc.Sobol._random:
  - 1761
  - 1764
  - 1769
  - 1739
  - 1741
  - 1758
  - 1773
  - 1745
  - 1751
  - 1755
  - 1757
  - 1726
  scipy.stats._qmc.Sobol._scramble:
  - 1707
  - 1709
  - 1710
  - 1712
  - 1715
  - 1718
  scipy.stats._qmc.Sobol.fast_forward:
  - 1825
  - 1844
  - 1838
  - 1839
  scipy.stats._qmc.Sobol.random_base2:
  - 1809
  - 1801
  - 1782
  scipy.stats._qmc.Sobol.reset:
  - 1821
  - 1812
  - 1820
  scipy.stats._qmc._ensure_in_unit_hypercube:
  - 193
  - 196
  - 173
  - 191
  scipy.stats._qmc._l1_norm:
  - 2510
  scipy.stats._qmc._lloyd_centroidal_voronoi_tessellation:
  - 2688
  - 2691
  - 2695
  - 2698
  - 2701
  - 2707
  - 2708
  - 2710
  - 2711
  - 2712
  - 2585
  - 2717
  - 2686
  - 2719
  scipy.stats._qmc._lloyd_iteration:
  - 2567
  - 2571
  - 2549
  - 2518
  - 2551
  - 2553
  scipy.stats._qmc._perturb_discrepancy:
  - 525
  - 562
  - 563
  - 565
  - 566
  - 569
  - 570
  - 572
  - 573
  - 577
  - 578
  - 579
  - 580
  - 588
  - 589
  - 591
  - 592
  - 593
  - 594
  - 604
  - 606
  scipy.stats._qmc._random_cd:
  - 2497
  - 2473
  - 2474
  - 2476
  - 2480
  - 2458
  - 2491
  - 2492
  - 2493
  - 2494
  scipy.stats._qmc._select_optimizer:
  - 2436
  - 2438
  - 2443
  - 2447
  - 2429
  scipy.stats._qmc._validate_bounds:
  - 2760
  - 2777
  - 2783
  - 2776
  scipy.stats._qmc._validate_workers:
  - 2728
  - 2742
  - 2743
  - 2744
  - 2745
  - 2750
  scipy.stats._qmc._van_der_corput_permutations:
  - 713
  - 714
  - 715
  - 716
  - 717
  - 687
  scipy.stats._qmc.check_random_state:
  - 64
  - 80
  - 81
  - 82
  - 54
  - 59
  scipy.stats._qmc.discrepancy:
  - 321
  - 330
  - 331
  - 208
  - 319
  scipy.stats._qmc.geometric_discrepancy:
  - 448
  - 449
  - 450
  - 451
  - 452
  - 453
  - 456
  - 341
  - 439
  - 440
  - 443
  - 445
  - 446
  scipy.stats._qmc.n_primes:
  - 673
  - 676
  - 677
  - 646
  scipy.stats._qmc.primes_from_2_to:
  - 638
  - 637
  - 614
  - 642
  scipy.stats._qmc.scale:
  - 96
  - 160
  - 166
  - 148
  - 151
  - 154
  - 158
  scipy.stats._qmc.update_discrepancy:
  - 514
  - 517
  - 520
  - 466
  - 500
  - 501
  - 504
  - 507
  - 511
  scipy.stats._qmc.van_der_corput:
  - 772
  - 775
  - 776
  - 777
  - 781
  - 783
  - 784
  - 788
  - 731
  scipy.stats._qmvnt._cbc_lattice:
  - 129
  - 130
  - 132
  - 135
  - 136
  - 137
  - 142
  - 117
  - 120
  - 121
  - 90
  - 124
  - 126
  scipy.stats._qmvnt._factorize_int:
  - 47
  - 50
  - 51
  - 53
  - 55
  - 57
  - 58
  - 59
  scipy.stats._qmvnt._mvn_qmc_integrand:
  - 307
  - 275
  - 308
  - 303
  scipy.stats._qmvnt._mvn_qmc_integrand.integrand:
  - 320
  - 321
  - 323
  - 326
  - 329
  - 330
  - 313
  - 314
  - 316
  - 317
  - 318
  - 319
  scipy.stats._qmvnt._permuted_cholesky:
  - 512
  - 513
  - 517
  - 519
  - 429
  - 454
  - 455
  - 456
  - 458
  - 460
  - 466
  - 474
  - 475
  - 476
  - 484
  - 485
  - 486
  - 487
  - 491
  - 492
  - 498
  - 501
  - 502
  - 503
  - 504
  - 505
  - 506
  - 509
  scipy.stats._qmvnt._primitive_root:
  - 73
  - 74
  - 80
  - 81
  - 63
  scipy.stats._qmvnt._qauto:
  - 192
  - 193
  - 197
  - 180
  - 182
  - 183
  - 152
  - 187
  scipy.stats._qmvnt._qmvn:
  - 257
  - 258
  - 262
  - 266
  - 205
  - 231
  - 234
  - 235
  - 240
  - 241
  - 242
  - 243
  - 244
  - 245
  - 246
  - 247
  - 249
  - 251
  - 253
  - 254
  scipy.stats._qmvnt._qmvt:
  - 385
  - 387
  - 390
  - 393
  - 394
  - 396
  - 398
  - 399
  - 403
  - 404
  - 405
  - 410
  - 411
  - 412
  - 413
  - 419
  - 423
  - 339
  - 369
  - 370
  - 371
  - 372
  - 376
  - 377
  - 378
  - 379
  - 380
  - 381
  - 383
  scipy.stats._qmvnt._swap_slices:
  - 531
  - 532
  scipy.stats._relative_risk.RelativeRiskResult:
  - 21
  scipy.stats._relative_risk.RelativeRiskResult.confidence_interval:
  - 99
  - 101
  - 102
  - 104
  - 105
  - 107
  - 110
  - 117
  - 55
  - 120
  - 121
  - 122
  - 92
  scipy.stats._relative_risk._validate_int:
  - 11
  - 14
  scipy.stats._relative_risk.relative_risk:
  - 259
  - 236
  - 237
  - 238
  - 239
  - 241
  - 243
  - 246
  - 249
  - 252
  - 126
  scipy.stats._resampling:
  - 742
  scipy.stats._resampling.BootstrapMethod:
  - 1810
  scipy.stats._resampling.BootstrapMethod._asdict:
  - 1846
  scipy.stats._resampling.BootstrapResult:
  - 258
  scipy.stats._resampling.MonteCarloMethod:
  - 1734
  scipy.stats._resampling.MonteCarloMethod._asdict:
  - 1767
  scipy.stats._resampling.MonteCarloTestResult:
  - 725
  scipy.stats._resampling.PermutationMethod:
  - 1773
  scipy.stats._resampling.PermutationMethod._asdict:
  - 1804
  scipy.stats._resampling.PermutationTestResult:
  - 942
  scipy.stats._resampling.ResamplingMethod:
  - 1712
  scipy.stats._resampling._all_partitions_concatenated:
  - 960
  - 979
  - 980
  - 981
  - 983
  scipy.stats._resampling._all_partitions_concatenated.all_partitions:
  - 969
  - 966
  - 967
  scipy.stats._resampling._all_partitions_concatenated.all_partitions_n:
  - 972
  - 973
  - 975
  - 976
  - 977
  scipy.stats._resampling._batch_generator:
  - 993
  - 994
  - 987
  - 988
  - 989
  - 991
  scipy.stats._resampling._bca_interval:
  - 129
  - 130
  - 131
  - 133
  - 138
  - 143
  - 145
  - 146
  - 147
  - 150
  - 153
  - 155
  - 109
  - 113
  - 114
  - 115
  - 119
  - 125
  - 127
  scipy.stats._resampling._bootstrap_iv:
  - 162
  - 164
  - 167
  - 168
  - 170
  - 171
  - 173
  - 174
  - 179
  - 183
  - 187
  - 188
  - 189
  - 192
  - 193
  - 195
  - 198
  - 200
  - 201
  - 212
  - 214
  - 216
  - 218
  - 221
  - 222
  - 225
  - 228
  - 229
  - 233
  - 234
  - 238
  - 239
  - 244
  - 249
  scipy.stats._resampling._bootstrap_iv.statistic:
  - 210
  scipy.stats._resampling._bootstrap_resample:
  - 67
  - 63
  scipy.stats._resampling._calculate_null_both:
  - 1026
  - 1029
  - 1062
  - 1063
  - 1064
  - 1034
  - 1036
  - 1037
  - 1042
  - 1076
  - 1045
  - 1077
  - 1078
  - 1079
  - 1052
  - 1053
  - 1055
  scipy.stats._resampling._calculate_null_pairings:
  - 1089
  - 1123
  - 1093
  - 1097
  - 1131
  - 1100
  - 1133
  - 1102
  - 1103
  - 1104
  - 1135
  - 1136
  - 1107
  - 1112
  - 1116
  - 1117
  - 1086
  scipy.stats._resampling._calculate_null_samples:
  - 1158
  - 1168
  - 1143
  - 1146
  - 1151
  scipy.stats._resampling._calculate_null_samples.statistic_wrapped:
  - 1163
  - 1164
  - 1166
  scipy.stats._resampling._jackknife_resample:
  - 43
  - 47
  - 49
  - 52
  - 53
  - 54
  - 55
  - 56
  - 59
  scipy.stats._resampling._monte_carlo_test_iv:
  - 665
  - 667
  - 668
  - 671
  - 674
  - 677
  - 678
  - 681
  - 685
  - 688
  - 689
  - 691
  - 692
  - 696
  - 698
  - 699
  - 700
  - 701
  - 703
  - 704
  - 707
  - 710
  - 711
  - 715
  - 716
  scipy.stats._resampling._pairings_permutations_gen:
  - 1002
  - 1004
  - 1021
  scipy.stats._resampling._pairings_permutations_gen.batched_perm_generator:
  - 1006
  - 1007
  - 1008
  - 1009
  - 1011
  - 1012
  - 1015
  - 1016
  - 1018
  - 1019
  scipy.stats._resampling._percentile_along_axis:
  - 100
  - 104
  - 85
  - 90
  - 91
  - 92
  - 93
  scipy.stats._resampling._percentile_of_score:
  - 81
  - 74
  scipy.stats._resampling._permutation_test_iv:
  - 1174
  - 1176
  - 1177
  - 1181
  - 1182
  - 1185
  - 1188
  - 1189
  - 1191
  - 1192
  - 1196
  - 1201
  - 1203
  - 1204
  - 1205
  - 1208
  - 1209
  - 1211
  - 1213
  - 1216
  - 1219
  - 1220
  - 1224
  - 1225
  - 1228
  scipy.stats._resampling._vectorize_statistic:
  - 21
  scipy.stats._resampling._vectorize_statistic.stat_nd:
  - 32
  - 26
  - 27
  - 38
  scipy.stats._resampling._vectorize_statistic.stat_nd.stat_1d:
  - 35
  - 36
  scipy.stats._resampling.bootstrap:
  - 647
  - 648
  - 649
  - 650
  - 653
  - 654
  - 655
  - 656
  - 658
  - 660
  - 283
  - 608
  - 620
  - 621
  - 624
  - 625
  - 627
  - 630
  - 631
  - 636
  - 637
  scipy.stats._resampling.bootstrap.percentile_fun:
  - 644
  scipy.stats._resampling.monte_carlo_test:
  - 901
  - 934
  - 935
  - 937
  - 746
  - 907
  - 906
  - 908
  - 909
  - 910
  - 911
  - 912
  - 895
  scipy.stats._resampling.monte_carlo_test.greater:
  - 921
  scipy.stats._resampling.monte_carlo_test.less:
  - 916
  scipy.stats._resampling.monte_carlo_test.two_sided:
  - 925
  - 926
  - 927
  scipy.stats._resampling.permutation_test:
  - 1665
  - 1704
  - 1705
  - 1674
  - 1707
  - 1682
  - 1237
  - 1659
  scipy.stats._resampling.permutation_test.greater:
  - 1691
  scipy.stats._resampling.permutation_test.less:
  - 1686
  scipy.stats._resampling.permutation_test.two_sided:
  - 1696
  - 1697
  - 1695
  scipy.stats._result_classes:
  - 5
  scipy.stats._rvs_sampling.rvs_ratio_uniforms:
  - 56
  - 49
  - 5
  - 54
  scipy.stats._sampling:
  - 382
  - 259
  - 260
  - 387
  - 263
  - 268
  - 269
  - 273
  - 274
  - 277
  - 282
  - 287
  - 292
  - 293
  - 296
  - 297
  - 302
  - 307
  - 311
  - 315
  - 320
  - 321
  - 325
  - 330
  - 334
  - 338
  - 342
  - 218
  - 219
  - 346
  - 222
  - 350
  - 354
  - 355
  - 356
  - 229
  - 230
  - 233
  - 361
  - 364
  - 237
  - 365
  - 239
  - 240
  - 369
  - 244
  - 373
  - 249
  - 254
  - 255
  scipy.stats._sampling.<lambda1>:
  - 350
  - 296
  - 237
  - 302
  - 334
  - 369
  - 338
  - 307
  - 244
  - 277
  - 342
  - 311
  - 373
  - 346
  - 315
  - 222
  - 287
  scipy.stats._sampling.<lambda2>:
  - 219
  - 260
  - 269
  - 255
  scipy.stats._sampling.CustomDistPINV.__init__:
  - 417
  scipy.stats._sampling.CustomDistPINV.__init__.<lambda1>:
  - 417
  scipy.stats._sampling.CustomDistPINV.pdf:
  - 420
  scipy.stats._sampling.FastGeneratorInversion:
  - 424
  scipy.stats._sampling.FastGeneratorInversion.__init__:
  - 640
  - 643
  - 650
  - 652
  - 660
  - 661
  - 666
  - 667
  - 669
  - 679
  - 681
  - 682
  - 683
  - 684
  - 695
  - 696
  - 698
  - 701
  - 625
  - 627
  - 635
  - 636
  - 638
  scipy.stats._sampling.FastGeneratorInversion._cdf:
  - 1100
  - 1101
  - 1103
  - 1087
  scipy.stats._sampling.FastGeneratorInversion._ppf:
  - 1120
  - 1121
  - 1122
  - 1106
  - 1119
  scipy.stats._sampling.FastGeneratorInversion._process_config:
  - 768
  - 771
  - 773
  - 750
  - 751
  - 752
  - 758
  - 759
  - 760
  - 765
  - 766
  - 767
  scipy.stats._sampling.FastGeneratorInversion._set_domain_adj:
  - 741
  scipy.stats._sampling.FastGeneratorInversion.evaluate_error:
  - 928
  - 1031
  - 1037
  - 1038
  - 1039
  - 1041
  - 1042
  - 1043
  - 1045
  - 1046
  - 1047
  - 1048
  - 1049
  scipy.stats._sampling.FastGeneratorInversion.loc:
  - 722
  - 726
  - 718
  scipy.stats._sampling.FastGeneratorInversion.ppf:
  - 834
  - 835
  - 836
  - 838
  - 839
  - 840
  - 810
  scipy.stats._sampling.FastGeneratorInversion.qrvs:
  - 898
  - 903
  - 906
  - 844
  - 911
  - 912
  - 913
  - 915
  - 916
  - 917
  - 918
  - 919
  - 921
  - 922
  - 924
  scipy.stats._sampling.FastGeneratorInversion.random_state:
  - 714
  scipy.stats._sampling.FastGeneratorInversion.rvs:
  - 801
  - 802
  - 804
  - 805
  - 806
  - 776
  scipy.stats._sampling.FastGeneratorInversion.scale:
  - 730
  - 738
  - 734
  scipy.stats._sampling.FastGeneratorInversion.support:
  - 1052
  scipy.stats._sampling.RatioUniforms:
  - 1126
  scipy.stats._sampling.RatioUniforms.__init__:
  - 1262
  - 1251
  - 1254
  scipy.stats._sampling.RatioUniforms.rvs:
  - 1280
  - 1314
  - 1283
  - 1294
  - 1295
  - 1265
  - 1298
  - 1299
  - 1300
  - 1304
  - 1279
  scipy.stats._sampling._validate_qmc_input:
  - 402
  - 404
  - 397
  - 398
  scipy.stats._sampling.alpha_pdf:
  - 115
  - 116
  scipy.stats._sampling.argus_gamma_inv_trf:
  - 33
  scipy.stats._sampling.argus_gamma_trf:
  - 27
  - 29
  scipy.stats._sampling.argus_pdf:
  - 20
  - 22
  - 23
  scipy.stats._sampling.beta_valid_params:
  - 53
  scipy.stats._sampling.betaprime_pdf:
  - 39
  - 40
  - 41
  - 44
  - 46
  - 49
  scipy.stats._sampling.bradford_pdf:
  - 121
  scipy.stats._sampling.burr12_pdf:
  - 82
  - 83
  - 84
  - 85
  scipy.stats._sampling.burr_pdf:
  - 74
  - 75
  - 76
  scipy.stats._sampling.chi2_pdf:
  - 103
  - 104
  - 105
  - 107
  - 108
  scipy.stats._sampling.chi_pdf:
  - 96
  - 91
  - 92
  - 93
  - 95
  scipy.stats._sampling.crystalball_pdf:
  - 128
  - 129
  - 127
  scipy.stats._sampling.gamma_pdf:
  - 57
  - 58
  scipy.stats._sampling.geninvgauss_mode:
  - 157
  - 158
  - 159
  scipy.stats._sampling.geninvgauss_pdf:
  - 163
  - 164
  - 165
  - 166
  scipy.stats._sampling.invgamma_pdf:
  - 64
  - 65
  scipy.stats._sampling.invgauss_mode:
  - 171
  scipy.stats._sampling.invgauss_pdf:
  - 176
  - 177
  - 178
  - 175
  scipy.stats._sampling.invweibull_pdf:
  - 145
  - 146
  scipy.stats._sampling.powerlaw_pdf:
  - 183
  scipy.stats._sampling.wald_pdf:
  - 152
  - 151
  scipy.stats._sampling.weibull_max_pdf:
  - 139
  - 140
  scipy.stats._sampling.weibull_min_pdf:
  - 133
  - 134
  scipy.stats._sensitivity_analysis:
  - 17
  scipy.stats._sensitivity_analysis.PPFDist.ppf:
  - 245
  scipy.stats._sensitivity_analysis.SobolResult.bootstrap:
  - 229
  - 230
  - 237
  - 181
  - 214
  - 215
  - 222
  - 223
  scipy.stats._sensitivity_analysis.SobolResult.bootstrap.statistic:
  - 210
  scipy.stats._sensitivity_analysis.f_ishigami:
  - 51
  - 53
  - 54
  - 55
  - 28
  scipy.stats._sensitivity_analysis.saltelli_2010:
  - 152
  - 113
  - 147
  - 151
  scipy.stats._sensitivity_analysis.sample_AB:
  - 104
  - 105
  - 94
  scipy.stats._sensitivity_analysis.sample_A_B:
  - 65
  - 81
  - 82
  - 83
  - 85
  - 86
  scipy.stats._sensitivity_analysis.sobol_indices:
  - 640
  - 257
  - 642
  - 644
  - 656
  - 657
  - 666
  - 672
  - 680
  - 687
  - 688
  - 691
  - 692
  - 694
  - 703
  - 704
  - 705
  - 712
  - 589
  - 591
  - 592
  - 599
  - 604
  - 609
  - 614
  - 616
  - 619
  - 630
  - 631
  - 639
  scipy.stats._sensitivity_analysis.sobol_indices.funcAB:
  - 652
  - 653
  - 654
  scipy.stats._sensitivity_analysis.sobol_indices.indices_method:
  - 624
  - 628
  scipy.stats._sensitivity_analysis.sobol_indices.wrapped_func:
  - 637
  scipy.stats._stats_mstats_common:
  - 18
  - 11
  - 15
  scipy.stats._stats_mstats_common._find_repeats:
  - 385
  - 386
  - 374
  - 375
  - 379
  - 380
  - 383
  scipy.stats._stats_mstats_common.linregress:
  - 139
  - 140
  - 141
  - 143
  - 150
  - 23
  - 151
  - 153
  - 156
  - 160
  - 161
  - 162
  - 167
  - 171
  - 175
  - 177
  - 179
  - 184
  - 186
  - 196
  - 197
  - 199
  - 206
  - 208
  scipy.stats._stats_mstats_common.siegelslopes:
  - 487
  - 392
  - 489
  - 490
  - 491
  - 493
  - 494
  - 496
  - 497
  - 498
  - 499
  scipy.stats._stats_mstats_common.theilslopes:
  - 320
  - 324
  - 325
  - 326
  - 328
  - 329
  - 336
  - 338
  - 339
  - 340
  - 341
  - 214
  - 342
  - 344
  - 346
  - 349
  - 351
  - 352
  - 353
  - 354
  - 357
  - 358
  - 361
  - 362
  - 363
  - 368
  scipy.stats._stats_py:
  - 2566
  - 19
  - 6165
  - 8237
  - 8239
  - 6706
  - 563
  - 564
  - 565
  - 1595
  - 1598
  - 1087
  - 1088
  - 9279
  - 9283
  - 4183
  - 4185
  - 7770
  - 613
  - 614
  - 129
  - 134
  - 135
  - 136
  - 8846
  - 8848
  - 666
  - 667
  - 9378
  - 1190
  - 1191
  - 9382
  - 2734
  - 2735
  - 3248
  - 3251
  - 3252
  - 10431
  - 720
  - 209
  - 210
  - 211
  - 721
  - 773
  - 774
  - 1797
  - 1800
  - 1301
  - 6952
  - 4394
  - 4396
  - 304
  - 305
  - 306
  - 825
  - 826
  - 3912
  - 2402
  - 3951
  - 9071
  - 9074
  - 8573
  - 8575
  - 1413
  - 1416
  - 921
  - 922
  - 923
  - 5538
  - 1956
  - 7596
  - 432
  - 7091
  - 2484
  - 447
  - 9156
  - 9159
  - 6628
  - 8175
  - 3583
  scipy.stats._stats_py.PearsonRResult:
  - 4401
  scipy.stats._stats_py.PearsonRResult.__init__:
  - 4419
  scipy.stats._stats_py.PearsonRResult.confidence_interval:
  - 4429
  - 4473
  - 4474
  - 4476
  - 4477
  scipy.stats._stats_py.QuantileTestResult:
  - 9672
  - 9701
  - 9702
  - 9703
  scipy.stats._stats_py.QuantileTestResult.confidence_interval:
  - 9761
  - 9763
  - 9765
  - 9768
  - 9706
  - 9740
  - 9741
  - 9742
  - 9744
  - 9751
  - 9754
  - 9756
  - 9758
  scipy.stats._stats_py.TtestResult:
  - 6633
  scipy.stats._stats_py.TtestResult.__init__:
  - 6663
  scipy.stats._stats_py.TtestResult.confidence_interval:
  - 6683
  - 6669
  - 6687
  scipy.stats._stats_py._ParallelP:
  - 6089
  scipy.stats._stats_py._ParallelP.__call__:
  - 6097
  - 6101
  scipy.stats._stats_py._alexandergovern_input_validation:
  - 4330
  - 4331
  - 4333
  - 4327
  scipy.stats._stats_py._attempt_exact_2kssamp:
  - 8544
  - 8546
  - 8548
  - 8552
  - 8553
  - 8555
  - 8556
  - 8557
  - 8526
  - 8558
  - 8566
  - 8535
  - 8568
  - 8537
  - 8541
  - 8542
  - 8543
  scipy.stats._stats_py._calc_t_stat:
  - 7497
  - 7500
  - 7501
  - 7502
  - 7503
  - 7505
  - 7506
  - 7508
  scipy.stats._stats_py._calculate_winsorized_variance:
  - 7424
  - 7426
  - 7427
  - 7429
  - 7432
  - 7449
  scipy.stats._stats_py._cdf_distance:
  - 10369
  - 10370
  - 10376
  - 10377
  - 10378
  - 10379
  - 10380
  - 10298
  - 10341
  - 10342
  - 10344
  - 10345
  - 10347
  - 10348
  - 10351
  - 10355
  - 10356
  - 10359
  - 10362
  - 10363
  - 10366
  scipy.stats._stats_py._chk2_asarray:
  - 112
  - 113
  - 114
  - 117
  - 118
  - 121
  - 122
  - 123
  - 124
  scipy.stats._stats_py._chk_asarray:
  - 98
  - 99
  - 102
  - 105
  - 106
  scipy.stats._stats_py._compute_dminus:
  - 8221
  - 8219
  - 8204
  - 8220
  scipy.stats._stats_py._compute_dplus:
  - 8197
  - 8180
  - 8196
  - 8198
  scipy.stats._stats_py._compute_prob_outside_square:
  - 8444
  - 8414
  - 8439
  scipy.stats._stats_py._compute_qth_percentile:
  - 2207
  - 2208
  - 2211
  - 2213
  - 2216
  - 2219
  - 2221
  - 2222
  - 2223
  - 2224
  - 2225
  - 2231
  - 2232
  - 2233
  - 2234
  - 2237
  - 2239
  - 2243
  - 2246
  scipy.stats._stats_py._count:
  - 7744
  - 7749
  - 7750
  - 7751
  - 7754
  - 7756
  scipy.stats._stats_py._count_paths_outside_method:
  - 8512
  - 8513
  - 8452
  - 8518
  - 8519
  - 8493
  - 8502
  - 8505
  - 8506
  - 8507
  - 8510
  - 8511
  scipy.stats._stats_py._create_f_oneway_nan_result:
  - 3916
  - 3921
  - 3923
  - 3924
  - 3925
  scipy.stats._stats_py._equal_var_ttest_denom:
  - 6944
  - 6948
  - 6943
  scipy.stats._stats_py._euclidean_dist:
  - 6162
  scipy.stats._stats_py._f_oneway_is_too_small:
  - 3936
  - 3945
  - 3938
  - 3942
  scipy.stats._stats_py._first:
  - 3929
  - 3930
  scipy.stats._stats_py._get_pvalue:
  - 1396
  - 1398
  - 1399
  - 1400
  - 1401
  - 1402
  - 1403
  - 1404
  - 1405
  scipy.stats._stats_py._histogram:
  - 2467
  - 2470
  - 2408
  - 2475
  - 2477
  - 2478
  - 2481
  - 2453
  - 2454
  - 2455
  - 2460
  - 2461
  scipy.stats._stats_py._isconst:
  - 2795
  - 2803
  - 2804
  - 2805
  - 2807
  scipy.stats._stats_py._kstest_n_samples:
  - 8843
  scipy.stats._stats_py._m_broadcast_to:
  - 7764
  - 7765
  - 7766
  - 7767
  scipy.stats._stats_py._mad_1d:
  - 3410
  - 3411
  - 3412
  - 3415
  - 3419
  - 3420
  scipy.stats._stats_py._mgc_stat:
  - 6477
  - 6480
  - 6453
  - 6487
  - 6490
  - 6493
  scipy.stats._stats_py._mode_result:
  - 440
  - 441
  - 444
  - 439
  scipy.stats._stats_py._moment:
  - 1025
  - 1028
  - 1031
  - 1032
  - 1034
  - 1035
  - 1041
  - 1045
  - 1048
  - 1049
  - 1052
  - 1053
  - 1054
  - 1055
  - 1056
  - 1057
  - 1059
  - 1063
  - 1065
  - 1066
  - 1071
  - 1073
  - 1075
  - 1016
  - 1020
  - 1021
  scipy.stats._stats_py._moment_outputs:
  - 890
  - 886
  - 887
  scipy.stats._stats_py._moment_result_object:
  - 896
  - 894
  scipy.stats._stats_py._order_ranks:
  - 10642
  - 10643
  scipy.stats._stats_py._parse_kstest_args:
  - 8833
  - 8837
  - 8825
  - 8826
  - 8827
  - 8830
  - 8831
  scipy.stats._stats_py._pearsonr_bootstrap_ci:
  - 4386
  - 4387
  - 4389
  - 4391
  - 4379
  scipy.stats._stats_py._pearsonr_bootstrap_ci.statistic:
  - 4383
  scipy.stats._stats_py._pearsonr_fisher_ci:
  - 4353
  - 4354
  - 4355
  - 4356
  - 4359
  - 4360
  - 4361
  - 4362
  - 4364
  - 4368
  - 4370
  - 4340
  - 4375
  - 4346
  - 4348
  - 4351
  scipy.stats._stats_py._perm_test:
  - 6146
  - 6147
  - 6148
  - 6151
  - 6152
  - 6153
  - 6156
  - 6107
  scipy.stats._stats_py._permutation_distribution_t:
  - 7489
  - 7491
  - 7460
  - 7462
  - 7467
  - 7469
  - 7470
  - 7471
  - 7474
  - 7475
  - 7478
  - 7480
  - 7485
  scipy.stats._stats_py._permutation_ttest:
  - 7554
  - 7556
  - 7559
  - 7560
  - 7562
  - 7568
  - 7571
  - 7575
  - 7580
  - 7579
  - 7516
  - 7581
  - 7583
  scipy.stats._stats_py._permutation_ttest.<lambda1>:
  - 7568
  scipy.stats._stats_py._put_nan_to_limits:
  - 546
  - 548
  - 551
  - 553
  - 555
  - 557
  - 558
  - 530
  scipy.stats._stats_py._quiet_nanmean:
  - 2817
  - 2818
  - 2819
  - 2821
  - 2811
  scipy.stats._stats_py._quiet_nanstd:
  - 2825
  - 2831
  - 2832
  - 2833
  - 2835
  scipy.stats._stats_py._rankdata:
  - 10657
  - 10658
  - 10661
  - 10663
  - 10667
  - 10669
  - 10701
  - 10672
  - 10674
  - 10676
  - 10678
  - 10679
  - 10681
  - 10682
  - 10684
  - 10653
  - 10654
  scipy.stats._stats_py._smooth_mgc_map:
  - 6574
  - 6578
  - 6547
  - 6579
  - 6583
  - 6585
  - 6590
  - 6591
  scipy.stats._stats_py._square_of_sums:
  - 10496
  - 10516
  - 10517
  - 10518
  - 10519
  - 10521
  scipy.stats._stats_py._sum_of_squares:
  - 10491
  - 10492
  - 10470
  scipy.stats._stats_py._t_confidence_interval:
  - 6892
  - 6896
  - 6898
  - 6899
  - 6901
  - 6902
  - 6906
  - 6907
  - 6909
  scipy.stats._stats_py._threshold_mgc_map:
  - 6529
  - 6533
  - 6534
  - 6502
  - 6535
  - 6538
  - 6541
  - 6525
  scipy.stats._stats_py._ttest_ind_from_stats:
  - 6917
  - 6918
  - 6919
  scipy.stats._stats_py._ttest_trim_var_mean_len:
  - 7400
  - 7404
  - 7409
  - 7413
  - 7419
  scipy.stats._stats_py._tuple_to_KstestResult:
  - 8228
  scipy.stats._stats_py._two_sample_transform:
  - 6619
  - 6620
  - 6598
  scipy.stats._stats_py._unequal_var_ttest_denom:
  - 6932
  - 6933
  - 6927
  scipy.stats._stats_py._validate_distribution:
  - 10405
  - 10406
  - 10410
  - 10411
  - 10412
  - 10415
  - 10385
  - 10417
  scipy.stats._stats_py._var:
  - 1080
  - 1081
  - 1083
  scipy.stats._stats_py.alexandergovern:
  - 4289
  - 4290
  - 4322
  - 4323
  - 4293
  - 4294
  - 4297
  - 4298
  - 4301
  - 4276
  - 4278
  - 4310
  - 4280
  - 4281
  - 4189
  - 4318
  scipy.stats._stats_py.brunnermunzel:
  - 9472
  - 9473
  - 9475
  - 9477
  - 9481
  - 9483
  - 9484
  - 9485
  - 9486
  - 9489
  - 9493
  - 9495
  - 9496
  - 9497
  - 9502
  - 9504
  - 9385
  - 9460
  - 9461
  - 9462
  - 9463
  - 9464
  - 9465
  - 9468
  - 9469
  - 9470
  - 9471
  scipy.stats._stats_py.chisquare:
  - 8003
  - 8171
  scipy.stats._stats_py.combine_pvalues:
  - 9627
  - 9628
  - 9631
  - 9632
  - 9633
  - 9634
  - 9635
  - 9508
  - 9636
  - 9637
  - 9638
  - 9639
  - 9640
  - 9641
  - 9642
  - 9644
  - 9645
  - 9646
  - 9647
  - 9648
  - 9649
  - 9650
  - 9653
  - 9654
  - 9657
  - 9658
  - 9659
  - 9667
  scipy.stats._stats_py.cumfreq:
  - 2563
  - 2561
  - 2490
  - 2562
  scipy.stats._stats_py.describe:
  - 1376
  - 1377
  - 1379
  - 1382
  - 1383
  - 1384
  - 1385
  - 1386
  - 1388
  - 1307
  - 1371
  - 1373
  - 1375
  scipy.stats._stats_py.energy_distance:
  - 10212
  - 10293
  scipy.stats._stats_py.expectile:
  - 10816
  - 10817
  - 10818
  - 10820
  - 10821
  - 10823
  - 10829
  - 10801
  - 10708
  - 10805
  - 10807
  - 10808
  scipy.stats._stats_py.expectile.first_order:
  - 10814
  scipy.stats._stats_py.f_oneway:
  - 4098
  - 4099
  - 4110
  - 4111
  - 4120
  - 4121
  - 4124
  - 4128
  - 4134
  - 4137
  - 4139
  - 4142
  - 4143
  - 4154
  - 4157
  - 4161
  - 4162
  - 4165
  - 4174
  - 3955
  - 4083
  - 4088
  - 4094
  scipy.stats._stats_py.find_repeats:
  - 10466
  - 10435
  scipy.stats._stats_py.fisher_exact:
  - 5050
  - 5051
  - 5054
  - 5057
  - 5060
  - 5062
  - 4818
  - 5074
  - 5075
  - 5076
  - 5078
  - 5079
  - 5080
  - 5081
  - 5082
  - 5087
  - 5088
  - 5090
  - 5091
  - 5092
  - 5093
  - 5095
  - 5096
  - 5098
  - 5099
  - 5100
  - 5102
  - 5103
  - 5108
  - 5110
  scipy.stats._stats_py.fisher_exact.<lambda1>:
  - 5095
  scipy.stats._stats_py.fisher_exact.pmf:
  - 5072
  scipy.stats._stats_py.friedmanchisquare:
  - 9348
  - 9285
  - 9349
  - 9353
  - 9354
  - 9355
  - 9359
  - 9360
  - 9361
  - 9362
  - 9366
  - 9367
  - 9368
  - 9372
  - 9375
  scipy.stats._stats_py.gmean:
  - 198
  - 200
  - 201
  - 138
  - 203
  - 204
  - 206
  scipy.stats._stats_py.gstd:
  - 3235
  - 3239
  - 3212
  - 3213
  - 3216
  - 3217
  - 3218
  - 3220
  - 3225
  - 3226
  - 3229
  - 3230
  - 3103
  scipy.stats._stats_py.gzscore:
  - 3012
  - 3011
  - 2924
  - 3014
  scipy.stats._stats_py.hmean:
  - 288
  - 290
  - 292
  - 294
  - 295
  - 297
  - 298
  - 213
  - 283
  - 284
  - 285
  - 287
  scipy.stats._stats_py.iqr:
  - 3392
  - 3362
  - 3394
  - 3396
  - 3366
  - 3367
  - 3385
  - 3371
  - 3372
  - 3373
  - 3378
  - 3380
  - 3257
  - 3388
  - 3391
  scipy.stats._stats_py.jarque_bera:
  - 2112
  - 2113
  - 2115
  - 2117
  - 1958
  - 2101
  - 2102
  - 2103
  - 2107
  - 2110
  scipy.stats._stats_py.kendalltau:
  - 5892
  - 5777
  - 5780
  - 5782
  - 5783
  - 5785
  - 5788
  - 5790
  - 5795
  - 5796
  - 5541
  - 5798
  - 5801
  - 5802
  - 5806
  - 5807
  - 5808
  - 5809
  - 5810
  - 5826
  - 5828
  - 5831
  - 5833
  - 5835
  - 5838
  - 5840
  - 5841
  - 5842
  - 5846
  - 5847
  - 5854
  - 5855
  - 5856
  - 5857
  - 5864
  - 5868
  - 5871
  - 5872
  - 5873
  - 5878
  - 5879
  - 5880
  - 5885
  - 5886
  scipy.stats._stats_py.kendalltau.count_rank_tie:
  - 5818
  - 5821
  - 5822
  - 5823
  scipy.stats._stats_py.kruskal:
  - 9226
  - 9228
  - 9229
  - 9232
  - 9233
  - 9234
  - 9235
  - 9236
  - 9239
  - 9241
  - 9245
  - 9246
  - 9247
  - 9251
  - 9252
  - 9253
  - 9254
  - 9256
  - 9257
  - 9259
  - 9260
  - 9261
  - 9262
  - 9266
  - 9268
  - 9269
  - 9271
  - 9276
  - 9161
  scipy.stats._stats_py.ks_1samp:
  - 8361
  - 8362
  - 8363
  - 8366
  - 8367
  - 8368
  - 8241
  - 8369
  - 8371
  - 8372
  - 8373
  - 8377
  - 8378
  - 8379
  - 8384
  - 8385
  - 8386
  - 8395
  - 8397
  - 8398
  - 8399
  - 8400
  - 8403
  - 8404
  - 8405
  scipy.stats._stats_py.ks_2samp:
  - 8577
  - 8724
  - 8726
  - 8727
  - 8728
  - 8731
  - 8732
  - 8733
  - 8734
  - 8735
  - 8736
  - 8739
  - 8742
  - 8744
  - 8745
  - 8749
  - 8750
  - 8755
  - 8758
  - 8766
  - 8770
  - 8771
  - 8772
  - 8774
  - 8776
  - 8781
  - 8782
  - 8783
  - 8785
  - 8789
  - 8793
  - 8795
  - 8796
  - 8798
  - 8801
  - 8802
  - 8804
  - 8808
  - 8809
  scipy.stats._stats_py.kstest:
  - 8850
  - 9014
  - 9016
  - 9018
  - 9019
  - 9020
  - 9022
  scipy.stats._stats_py.kurtosis:
  - 1280
  - 1283
  - 1284
  - 1285
  - 1286
  - 1287
  - 1288
  - 1194
  - 1290
  - 1292
  - 1293
  - 1294
  - 1296
  - 1274
  - 1276
  - 1278
  - 1279
  scipy.stats._stats_py.kurtosistest:
  - 1600
  - 1793
  - 1794
  - 1764
  - 1768
  - 1769
  - 1770
  - 1772
  - 1776
  - 1778
  - 1781
  - 1783
  - 1784
  - 1785
  - 1786
  - 1789
  - 1791
  scipy.stats._stats_py.median_abs_deviation:
  - 3534
  - 3540
  - 3541
  - 3546
  - 3549
  - 3550
  - 3552
  - 3553
  - 3426
  - 3556
  - 3558
  - 3560
  - 3561
  - 3562
  - 3564
  - 3566
  - 3567
  - 3568
  - 3572
  - 3573
  scipy.stats._stats_py.mode:
  - 513
  - 450
  - 520
  - 521
  - 522
  - 524
  - 525
  - 526
  scipy.stats._stats_py.moment:
  - 996
  - 999
  - 1001
  - 1002
  - 1004
  - 1005
  - 1006
  - 1008
  - 1009
  - 1011
  - 927
  scipy.stats._stats_py.multiscale_graphcorr:
  - 6400
  - 6405
  - 6406
  - 6409
  - 6414
  - 6416
  - 6420
  - 6422
  - 6423
  - 6425
  - 6171
  - 6427
  - 6429
  - 6430
  - 6433
  - 6438
  - 6447
  - 6368
  - 6372
  - 6374
  - 6376
  - 6378
  - 6385
  - 6386
  - 6389
  - 6392
  - 6393
  scipy.stats._stats_py.normaltest:
  - 1953
  - 1802
  - 1949
  - 1950
  scipy.stats._stats_py.obrientransform:
  - 2721
  - 2724
  - 2727
  - 2728
  - 2729
  - 2730
  - 2731
  - 2702
  - 2708
  - 2709
  - 2710
  - 2711
  - 2713
  - 2652
  scipy.stats._stats_py.pack_TtestResult:
  - 6697
  - 6694
  - 6695
  scipy.stats._stats_py.pearsonr:
  - 4738
  - 4486
  - 4743
  - 4744
  - 4746
  - 4748
  - 4753
  - 4754
  - 4757
  - 4758
  - 4760
  - 4762
  - 4770
  - 4772
  - 4773
  - 4774
  - 4778
  - 4779
  - 4783
  - 4784
  - 4789
  - 4790
  - 4793
  - 4799
  - 4801
  - 4805
  - 4810
  - 4811
  - 4813
  - 4715
  - 4716
  - 4719
  - 4722
  - 4723
  - 4725
  - 4726
  - 4730
  - 4733
  - 4734
  scipy.stats._stats_py.pearsonr.statistic:
  - 4740
  - 4750
  scipy.stats._stats_py.percentileofscore:
  - 2339
  - 2340
  - 2341
  - 2344
  - 2345
  - 2347
  - 2350
  - 2353
  - 2355
  - 2356
  - 2358
  - 2359
  - 2361
  - 2366
  - 2367
  - 2377
  - 2250
  - 2378
  - 2379
  - 2382
  - 2383
  - 2384
  - 2385
  - 2386
  - 2387
  - 2388
  - 2395
  - 2397
  scipy.stats._stats_py.percentileofscore.count:
  - 2374
  scipy.stats._stats_py.pmean:
  - 416
  - 418
  - 420
  - 421
  - 423
  - 424
  - 425
  - 403
  - 308
  - 406
  - 407
  - 409
  - 410
  - 411
  - 413
  - 414
  scipy.stats._stats_py.pointbiserialr:
  - 5531
  - 5444
  - 5533
  scipy.stats._stats_py.power_divergence:
  - 7938
  - 7939
  - 7940
  - 7944
  - 7947
  - 7948
  - 7950
  - 7951
  - 7952
  - 7953
  - 7954
  - 7956
  - 7957
  - 7958
  - 7959
  - 7960
  - 7961
  - 7962
  - 7973
  - 7974
  - 7979
  - 7982
  - 7984
  - 7985
  - 7987
  - 7993
  - 7995
  - 7996
  - 7997
  - 7999
  - 7775
  scipy.stats._stats_py.quantile_test:
  - 10080
  - 10112
  - 10113
  - 10114
  - 9797
  - 10086
  - 10087
  - 10119
  - 10090
  - 10093
  - 10097
  - 10100
  - 10111
  - 10104
  - 10074
  - 10079
  scipy.stats._stats_py.quantile_test_iv:
  - 9773
  - 9775
  - 9778
  - 9780
  - 9783
  - 9785
  - 9790
  scipy.stats._stats_py.rankdata:
  - 10625
  - 10627
  - 10628
  - 10630
  - 10631
  - 10632
  - 10633
  - 10636
  - 10612
  - 10615
  - 10617
  - 10618
  - 10621
  - 10525
  - 10622
  - 10623
  scipy.stats._stats_py.ranksums:
  - 9153
  - 9076
  - 9142
  - 9143
  - 9144
  - 9145
  - 9146
  - 9148
  - 9150
  - 9151
  scipy.stats._stats_py.relfreq:
  - 2640
  - 2641
  - 2572
  - 2644
  scipy.stats._stats_py.scoreatpercentile:
  - 2187
  - 2188
  - 2190
  - 2127
  - 2193
  - 2195
  - 2198
  - 2199
  - 2202
  scipy.stats._stats_py.sem:
  - 2738
  - 2790
  scipy.stats._stats_py.sigmaclip:
  - 3587
  - 3652
  - 3641
  - 3644
  - 3645
  scipy.stats._stats_py.skew:
  - 1184
  - 1185
  - 1091
  - 1164
  - 1167
  - 1169
  - 1170
  - 1171
  - 1173
  - 1174
  - 1175
  - 1176
  - 1177
  - 1178
  - 1179
  - 1181
  - 1182
  - 1183
  scipy.stats._stats_py.skewtest:
  - 1576
  - 1418
  - 1578
  - 1582
  - 1585
  - 1586
  - 1587
  - 1588
  - 1589
  - 1591
  - 1592
  scipy.stats._stats_py.spearmanr:
  - 5377
  - 5379
  - 5115
  - 5385
  - 5386
  - 5389
  - 5390
  - 5394
  - 5397
  - 5398
  - 5402
  - 5403
  - 5404
  - 5405
  - 5406
  - 5408
  - 5409
  - 5410
  - 5416
  - 5418
  - 5419
  - 5423
  - 5426
  - 5428
  - 5431
  - 5432
  - 5438
  - 5353
  - 5358
  - 5359
  - 5362
  - 5363
  - 5369
  - 5370
  - 5371
  - 5373
  scipy.stats._stats_py.tiecorrect:
  - 9027
  - 9063
  - 9064
  - 9065
  - 9067
  - 9068
  scipy.stats._stats_py.tmax:
  - 769
  - 724
  - 765
  - 766
  - 767
  scipy.stats._stats_py.tmean:
  - 568
  - 609
  - 610
  scipy.stats._stats_py.tmin:
  - 712
  - 713
  - 714
  - 716
  - 670
  scipy.stats._stats_py.trim1:
  - 3810
  - 3813
  - 3815
  - 3817
  - 3818
  - 3821
  - 3823
  - 3824
  - 3825
  - 3802
  - 3803
  - 3804
  - 3742
  scipy.stats._stats_py.trim_mean:
  - 3905
  - 3907
  - 3908
  - 3909
  - 3890
  - 3892
  - 3829
  - 3895
  - 3896
  - 3900
  - 3902
  scipy.stats._stats_py.trimboth:
  - 3719
  - 3656
  - 3721
  - 3724
  - 3725
  - 3729
  - 3731
  - 3734
  - 3736
  - 3737
  - 3738
  scipy.stats._stats_py.tsem:
  - 874
  - 875
  - 876
  - 877
  - 829
  scipy.stats._stats_py.tstd:
  - 777
  - 822
  scipy.stats._stats_py.ttest_1samp:
  - 6882
  - 6885
  - 6863
  - 6868
  - 6870
  - 6710
  - 6874
  - 6875
  - 6877
  - 6878
  - 6879
  scipy.stats._stats_py.ttest_ind:
  - 7340
  - 7343
  - 7345
  - 7347
  - 7350
  - 7351
  - 7096
  - 7354
  - 7355
  - 7358
  - 7369
  - 7370
  - 7371
  - 7372
  - 7373
  - 7374
  - 7375
  - 7376
  - 7377
  - 7378
  - 7380
  - 7381
  - 7383
  - 7384
  - 7386
  - 7387
  - 7390
  - 7395
  scipy.stats._stats_py.ttest_ind_from_stats:
  - 7077
  - 7078
  - 7079
  - 7080
  - 7081
  - 7082
  - 7084
  - 6957
  - 7087
  - 7088
  scipy.stats._stats_py.ttest_rel:
  - 7714
  - 7715
  - 7716
  - 7717
  - 7719
  - 7720
  - 7721
  - 7724
  - 7600
  - 7728
  - 7698
  - 7700
  - 7701
  - 7702
  - 7705
  - 7707
  - 7708
  scipy.stats._stats_py.tvar:
  - 617
  - 662
  - 663
  scipy.stats._stats_py.wasserstein_distance:
  - 10208
  - 10135
  scipy.stats._stats_py.weightedtau:
  - 5898
  - 6030
  - 6031
  - 6033
  - 6037
  - 6039
  - 6044
  - 6045
  - 6046
  - 6047
  - 6050
  - 6051
  - 6052
  - 6053
  - 6054
  - 6056
  - 6057
  - 6058
  - 6060
  - 6062
  - 6063
  - 6065
  - 6069
  - 6070
  - 6071
  - 6072
  - 6073
  - 6079
  - 6080
  scipy.stats._stats_py.zmap:
  - 3072
  - 3074
  - 3075
  - 3076
  - 3077
  - 3078
  - 3080
  - 3081
  - 3018
  - 3082
  - 3084
  - 3085
  - 3091
  - 3092
  - 3098
  - 3067
  - 3069
  - 3070
  scipy.stats._stats_py.zscore:
  - 2920
  - 2839
  scipy.stats._survival:
  - 13
  scipy.stats._survival.ECDFResult:
  - 225
  scipy.stats._survival.ECDFResult.__init__:
  - 240
  - 239
  scipy.stats._survival.EmpiricalDistributionFunction:
  - 38
  - 39
  - 40
  - 41
  - 23
  scipy.stats._survival.EmpiricalDistributionFunction.__init__:
  - 57
  - 54
  - 55
  scipy.stats._survival.EmpiricalDistributionFunction._linear_ci:
  - 193
  - 194
  - 190
  - 191
  scipy.stats._survival.EmpiricalDistributionFunction._loglog_ci:
  - 205
  - 206
  - 208
  - 209
  - 211
  - 212
  - 215
  - 216
  - 217
  scipy.stats._survival.EmpiricalDistributionFunction.confidence_interval:
  - 160
  - 161
  - 165
  - 166
  - 169
  - 170
  - 175
  - 176
  - 114
  - 178
  - 179
  - 181
  - 183
  - 154
  scipy.stats._survival.EmpiricalDistributionFunction.evaluate:
  - 73
  - 61
  scipy.stats._survival.EmpiricalDistributionFunction.plot:
  - 100
  - 102
  - 105
  - 107
  - 76
  - 109
  - 111
  scipy.stats._survival.LogRankResult:
  - 475
  scipy.stats._survival._ecdf_right_censored:
  - 448
  - 451
  - 454
  - 457
  - 464
  - 465
  - 468
  - 447
  scipy.stats._survival._ecdf_uncensored:
  - 418
  - 419
  - 429
  - 422
  scipy.stats._survival._iv_CensoredData:
  - 249
  - 251
  - 246
  - 247
  scipy.stats._survival.ecdf:
  - 257
  - 401
  - 403
  - 404
  - 405
  - 406
  - 414
  scipy.stats._survival.logrank:
  - 642
  - 643
  - 674
  - 646
  - 647
  - 648
  - 678
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Fuzzer filename: /src/fuzz_io_mio5.py
Inheritance:
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  scipy._lib._ccallback.CData: []
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  scipy._lib._disjoint_set.DisjointSet: []
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  scipy._lib._pep440.Infinity: []
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  scipy._lib._pep440._BaseVersion: []
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  scipy._lib._util._FunctionWrapper: []
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  scipy._lib.array_api_compat.common._linalg.SlogdetResult:
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  scipy._lib.decorator.FunctionMaker: []
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  scipy.cluster.hierarchy.ClusterNode: []
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  scipy.integrate._ivp.lsoda.LSODA:
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  scipy.integrate._ivp.lsoda.LsodaDenseOutput:
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  scipy.integrate._ivp.radau.Radau:
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  scipy.integrate._ode.complex_ode:
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  scipy.integrate._ode.dop853:
  - dopri5
  scipy.integrate._ode.dopri5:
  - IntegratorBase
  scipy.integrate._ode.lsoda:
  - IntegratorBase
  scipy.integrate._ode.ode: []
  scipy.integrate._ode.vode:
  - IntegratorBase
  scipy.integrate._ode.zvode:
  - vode
  scipy.integrate._odepack_py.ODEintWarning:
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  scipy.integrate._quad_vec.LRUDict: []
  scipy.integrate._quad_vec.SemiInfiniteFunc: []
  scipy.integrate._quad_vec._Bunch: []
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  - UserWarning
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  scipy.integrate._quadpack_py._OptFunc: []
  scipy.integrate._quadpack_py._RangeFunc: []
  scipy.integrate._quadrature.AccuracyWarning:
  - Warning
  scipy.integrate._quadrature.CacheAttributes:
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  scipy.interpolate._cubic.Akima1DInterpolator:
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  scipy.interpolate._cubic.CubicHermiteSpline:
  - PPoly
  scipy.interpolate._cubic.CubicSpline:
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  scipy.interpolate._cubic.PchipInterpolator:
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  scipy.interpolate._fitpack2.InterpolatedUnivariateSpline:
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  scipy.interpolate._fitpack2.LSQBivariateSpline:
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  scipy.interpolate._fitpack2.LSQSphereBivariateSpline:
  - SphereBivariateSpline
  scipy.interpolate._fitpack2.LSQUnivariateSpline:
  - UnivariateSpline
  scipy.interpolate._fitpack2.RectBivariateSpline:
  - BivariateSpline
  scipy.interpolate._fitpack2.RectSphereBivariateSpline:
  - SphereBivariateSpline
  scipy.interpolate._fitpack2.SmoothBivariateSpline:
  - BivariateSpline
  scipy.interpolate._fitpack2.SmoothSphereBivariateSpline:
  - SphereBivariateSpline
  scipy.interpolate._fitpack2.SphereBivariateSpline:
  - _BivariateSplineBase
  scipy.interpolate._fitpack2.UnivariateSpline: []
  scipy.interpolate._fitpack2._BivariateSplineBase: []
  scipy.interpolate._fitpack2._DerivedBivariateSpline:
  - _BivariateSplineBase
  scipy.interpolate._interpolate.BPoly:
  - _PPolyBase
  scipy.interpolate._interpolate.NdPPoly: []
  scipy.interpolate._interpolate.PPoly:
  - _PPolyBase
  scipy.interpolate._interpolate._PPolyBase: []
  scipy.interpolate._interpolate.interp1d:
  - _Interpolator1D
  scipy.interpolate._interpolate.interp2d: []
  scipy.interpolate._ndbspline.NdBSpline: []
  scipy.interpolate._ndgriddata.NearestNDInterpolator:
  - NDInterpolatorBase
  scipy.interpolate._polyint.BarycentricInterpolator:
  - _Interpolator1DWithDerivatives
  scipy.interpolate._polyint.KroghInterpolator:
  - _Interpolator1DWithDerivatives
  scipy.interpolate._polyint._Interpolator1D: []
  scipy.interpolate._polyint._Interpolator1DWithDerivatives:
  - _Interpolator1D
  scipy.interpolate._rbf.Rbf: []
  scipy.interpolate._rbfinterp.RBFInterpolator: []
  scipy.interpolate._rgi.RegularGridInterpolator: []
  scipy.io._fast_matrix_market._FMMThreadPoolCtlController: []
  scipy.io._fast_matrix_market._TextToBytesWrapper: []
  scipy.io._fortran.FortranEOFError:
  - TypeError
  - OSError
  scipy.io._fortran.FortranFile: []
  scipy.io._fortran.FortranFormattingError:
  - TypeError
  - OSError
  scipy.io._harwell_boeing._fortran_format_parser.BadFortranFormat:
  - SyntaxError
  scipy.io._harwell_boeing._fortran_format_parser.ExpFormat: []
  scipy.io._harwell_boeing._fortran_format_parser.FortranFormatParser: []
  scipy.io._harwell_boeing._fortran_format_parser.IntFormat: []
  scipy.io._harwell_boeing._fortran_format_parser.Token: []
  scipy.io._harwell_boeing._fortran_format_parser.Tokenizer: []
  scipy.io._harwell_boeing.hb.HBFile: []
  scipy.io._harwell_boeing.hb.HBInfo: []
  scipy.io._harwell_boeing.hb.HBMatrixType: []
  scipy.io._harwell_boeing.hb.LineOverflow:
  - Warning
  scipy.io._harwell_boeing.hb.MalformedHeader:
  - Exception
  scipy.io._idl.AttrDict:
  - dict
  scipy.io._idl.ObjectPointer:
  - Pointer
  scipy.io._idl.Pointer: []
  scipy.io._mmio.MMFile: []
  scipy.io._netcdf.netcdf_file: []
  scipy.io._netcdf.netcdf_variable: []
  scipy.io.arff._arffread.ArffError:
  - OSError
  scipy.io.arff._arffread.Attribute: []
  scipy.io.arff._arffread.DateAttribute:
  - Attribute
  scipy.io.arff._arffread.MetaData: []
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  - Attribute
  scipy.io.arff._arffread.NumericAttribute:
  - Attribute
  scipy.io.arff._arffread.ParseArffError:
  - ArffError
  scipy.io.arff._arffread.RelationalAttribute:
  - Attribute
  scipy.io.arff._arffread.StringAttribute:
  - Attribute
  scipy.io.matlab._mio4.MatFile4Reader:
  - MatFileReader
  scipy.io.matlab._mio4.MatFile4Writer: []
  scipy.io.matlab._mio4.VarHeader4: []
  scipy.io.matlab._mio4.VarReader4: []
  scipy.io.matlab._mio4.VarWriter4: []
  scipy.io.matlab._mio5.EmptyStructMarker: []
  scipy.io.matlab._mio5.MatFile5Reader:
  - MatFileReader
  scipy.io.matlab._mio5.MatFile5Writer: []
  scipy.io.matlab._mio5.VarWriter5: []
  scipy.io.matlab._mio5_params.MatlabFunction: []
  scipy.io.matlab._mio5_params.MatlabObject: []
  scipy.io.matlab._mio5_params.MatlabOpaque: []
  scipy.io.matlab._mio5_params.mat_struct: []
  scipy.io.matlab._miobase.MatFileReader: []
  scipy.io.matlab._miobase.MatReadError:
  - Exception
  scipy.io.matlab._miobase.MatReadWarning:
  - UserWarning
  scipy.io.matlab._miobase.MatVarReader: []
  scipy.io.matlab._miobase.MatWriteError:
  - Exception
  scipy.io.wavfile.WAVE_FORMAT:
  - IntEnum
  scipy.io.wavfile.WavFileWarning:
  - UserWarning
  scipy.linalg._matfuncs_inv_ssq.FractionalMatrixPowerError: []
  scipy.linalg._matfuncs_inv_ssq.LogmError: []
  scipy.linalg._matfuncs_inv_ssq.LogmExactlySingularWarning:
  - LogmRankWarning
  scipy.linalg._matfuncs_inv_ssq.LogmNearlySingularWarning:
  - LogmRankWarning
  scipy.linalg._matfuncs_inv_ssq.LogmRankWarning:
  - UserWarning
  scipy.linalg._matfuncs_inv_ssq._MatrixM1PowerOperator:
  - LinearOperator
  scipy.linalg._matfuncs_sqrtm.SqrtmError: []
  scipy.linalg._misc.LinAlgWarning:
  - RuntimeWarning
  scipy.linalg._testutils._FakeMatrix: []
  scipy.linalg._testutils._FakeMatrix2: []
  scipy.odr._models._ExponentialModel:
  - Model
  scipy.odr._models._MultilinearModel:
  - Model
  scipy.odr._models._QuadraticModel:
  - Model
  scipy.odr._models._UnilinearModel:
  - Model
  scipy.odr._odrpack.Data: []
  scipy.odr._odrpack.Model: []
  scipy.odr._odrpack.ODR: []
  scipy.odr._odrpack.OdrError:
  - Exception
  scipy.odr._odrpack.OdrStop:
  - Exception
  scipy.odr._odrpack.OdrWarning:
  - UserWarning
  scipy.odr._odrpack.Output: []
  scipy.odr._odrpack.RealData:
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  scipy.optimize._basinhopping.AdaptiveStepsize: []
  scipy.optimize._basinhopping.BasinHoppingRunner: []
  scipy.optimize._basinhopping.Metropolis: []
  scipy.optimize._basinhopping.MinimizerWrapper: []
  scipy.optimize._basinhopping.RandomDisplacement: []
  scipy.optimize._basinhopping.Storage: []
  scipy.optimize._constraints.Bounds: []
  scipy.optimize._constraints.LinearConstraint: []
  scipy.optimize._constraints.NonlinearConstraint: []
  scipy.optimize._constraints.PreparedConstraint: []
  scipy.optimize._dcsrch.DCSRCH: []
  scipy.optimize._differentiable_functions.IdentityVectorFunction:
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  scipy.optimize._differentiable_functions.LinearVectorFunction: []
  scipy.optimize._differentiable_functions.ScalarFunction: []
  scipy.optimize._differentiable_functions.VectorFunction: []
  scipy.optimize._differentialevolution.DifferentialEvolutionSolver: []
  scipy.optimize._differentialevolution._ConstraintWrapper: []
  scipy.optimize._dual_annealing.EnergyState: []
  scipy.optimize._dual_annealing.LocalSearchWrapper: []
  scipy.optimize._dual_annealing.ObjectiveFunWrapper: []
  scipy.optimize._dual_annealing.StrategyChain: []
  scipy.optimize._dual_annealing.VisitingDistribution: []
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  scipy.optimize._hessian_update_strategy.FullHessianUpdateStrategy:
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  scipy.optimize._hessian_update_strategy.HessianUpdateStrategy: []
  scipy.optimize._hessian_update_strategy.SR1:
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  scipy.optimize._lbfgsb_py.LbfgsInvHessProduct:
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  scipy.optimize._linesearch.LineSearchWarning:
  - RuntimeWarning
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  scipy.optimize._nonlin.BroydenSecond:
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  scipy.optimize._nonlin.DiagBroyden:
  - GenericBroyden
  scipy.optimize._nonlin.ExcitingMixing:
  - GenericBroyden
  scipy.optimize._nonlin.GenericBroyden:
  - Jacobian
  scipy.optimize._nonlin.InverseJacobian: []
  scipy.optimize._nonlin.Jacobian: []
  scipy.optimize._nonlin.KrylovJacobian:
  - Jacobian
  scipy.optimize._nonlin.LinearMixing:
  - GenericBroyden
  scipy.optimize._nonlin.LowRankMatrix: []
  scipy.optimize._nonlin.NoConvergence:
  - Exception
  scipy.optimize._nonlin.TerminationCondition: []
  scipy.optimize._nonlin.asjacobian.Jac:
  - Jacobian
  scipy.optimize._optimize.BracketError:
  - RuntimeError
  scipy.optimize._optimize.Brent: []
  scipy.optimize._optimize.MemoizeJac: []
  scipy.optimize._optimize.OptimizeResult:
  - _RichResult
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  - UserWarning
  scipy.optimize._optimize._Brute_Wrapper: []
  scipy.optimize._optimize._LineSearchError:
  - RuntimeError
  scipy.optimize._optimize._MaxFuncCallError:
  - RuntimeError
  scipy.optimize._root_scalar.MemoizeDer: []
  scipy.optimize._shgo.LMap: []
  scipy.optimize._shgo.LMapCache: []
  scipy.optimize._shgo.SHGO: []
  scipy.optimize._shgo_lib._complex.Complex: []
  scipy.optimize._shgo_lib._vertex.ConstraintWrapper: []
  scipy.optimize._shgo_lib._vertex.FieldWrapper: []
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  - ABC
  scipy.optimize._shgo_lib._vertex.VertexCacheBase: []
  scipy.optimize._shgo_lib._vertex.VertexCacheField:
  - VertexCacheBase
  scipy.optimize._shgo_lib._vertex.VertexCacheIndex:
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  scipy.optimize._shgo_lib._vertex.VertexCube:
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  scipy.optimize._shgo_lib._vertex.VertexScalarField:
  - VertexBase
  scipy.optimize._shgo_lib._vertex.VertexVectorField:
  - VertexBase
  scipy.optimize._spectral._NoConvergence:
  - Exception
  scipy.optimize._trustregion.BaseQuadraticSubproblem: []
  scipy.optimize._trustregion_constr.canonical_constraint.CanonicalConstraint: []
  scipy.optimize._trustregion_constr.minimize_trustregion_constr.HessianLinearOperator: []
  scipy.optimize._trustregion_constr.minimize_trustregion_constr.LagrangianHessian: []
  scipy.optimize._trustregion_constr.report.BasicReport:
  - ReportBase
  scipy.optimize._trustregion_constr.report.IPReport:
  - ReportBase
  scipy.optimize._trustregion_constr.report.ReportBase: []
  scipy.optimize._trustregion_constr.report.SQPReport:
  - ReportBase
  scipy.optimize._trustregion_constr.tr_interior_point.BarrierSubproblem: []
  scipy.optimize._trustregion_dogleg.DoglegSubproblem:
  - BaseQuadraticSubproblem
  scipy.optimize._trustregion_exact.IterativeSubproblem:
  - BaseQuadraticSubproblem
  scipy.optimize._trustregion_ncg.CGSteihaugSubproblem:
  - BaseQuadraticSubproblem
  scipy.optimize._zeros_py.RootResults:
  - OptimizeResult
  scipy.optimize._zeros_py.TOMS748Solver: []
  scipy.signal._czt.CZT: []
  scipy.signal._czt.ZoomFFT:
  - CZT
  scipy.signal._filter_design.BadCoefficients:
  - UserWarning
  scipy.signal._ltisys.Bunch: []
  scipy.signal._ltisys.LinearTimeInvariant: []
  scipy.signal._ltisys.StateSpace:
  - LinearTimeInvariant
  scipy.signal._ltisys.StateSpaceContinuous:
  - StateSpace
  - lti
  scipy.signal._ltisys.StateSpaceDiscrete:
  - dlti
  - StateSpace
  scipy.signal._ltisys.TransferFunction:
  - LinearTimeInvariant
  scipy.signal._ltisys.TransferFunctionContinuous:
  - TransferFunction
  - lti
  scipy.signal._ltisys.TransferFunctionDiscrete:
  - TransferFunction
  - dlti
  scipy.signal._ltisys.ZerosPolesGain:
  - LinearTimeInvariant
  scipy.signal._ltisys.ZerosPolesGainContinuous:
  - lti
  - ZerosPolesGain
  scipy.signal._ltisys.ZerosPolesGainDiscrete:
  - dlti
  - ZerosPolesGain
  scipy.signal._ltisys.dlti:
  - LinearTimeInvariant
  scipy.signal._ltisys.lti:
  - LinearTimeInvariant
  scipy.signal._short_time_fft.ShortTimeFFT: []
  scipy.signal._upfirdn._UpFIRDn: []
  scipy.sparse._base.SparseEfficiencyWarning:
  - SparseWarning
  scipy.sparse._base.SparseFormatWarning:
  - SparseWarning
  scipy.sparse._base.SparseWarning:
  - Warning
  scipy.sparse._base._spbase: []
  scipy.sparse._base.sparray: []
  scipy.sparse._bsr._bsr_base:
  - _cs_matrix
  - _minmax_mixin
  scipy.sparse._bsr.bsr_array:
  - _bsr_base
  - sparray
  scipy.sparse._bsr.bsr_matrix:
  - _bsr_base
  - spmatrix
  scipy.sparse._compressed._cs_matrix:
  - IndexMixin
  - _minmax_mixin
  - _data_matrix
  scipy.sparse._coo._coo_base:
  - _minmax_mixin
  - _data_matrix
  scipy.sparse._coo.coo_array:
  - sparray
  - _coo_base
  scipy.sparse._coo.coo_matrix:
  - _coo_base
  - spmatrix
  scipy.sparse._csc._csc_base:
  - _cs_matrix
  scipy.sparse._csc.csc_array:
  - sparray
  - _csc_base
  scipy.sparse._csc.csc_matrix:
  - _csc_base
  - spmatrix
  scipy.sparse._csr._csr_base:
  - _cs_matrix
  scipy.sparse._csr.csr_array:
  - _csr_base
  - sparray
  scipy.sparse._csr.csr_matrix:
  - _csr_base
  - spmatrix
  scipy.sparse._data._data_matrix:
  - _spbase
  scipy.sparse._data._minmax_mixin: []
  scipy.sparse._dia._dia_base:
  - _data_matrix
  scipy.sparse._dia.dia_array:
  - _dia_base
  - sparray
  scipy.sparse._dia.dia_matrix:
  - _dia_base
  - spmatrix
  scipy.sparse._dok._dok_base:
  - IndexMixin
  - _spbase
  scipy.sparse._dok.dok_array:
  - _dok_base
  - sparray
  scipy.sparse._dok.dok_matrix:
  - _dok_base
  - dict
  - spmatrix
  scipy.sparse._index.IndexMixin: []
  scipy.sparse._lil._lil_base:
  - IndexMixin
  - _spbase
  scipy.sparse._lil.lil_array:
  - _lil_base
  - sparray
  scipy.sparse._lil.lil_matrix:
  - _lil_base
  - spmatrix
  scipy.sparse._matrix.spmatrix: []
  scipy.sparse.linalg._dsolve.linsolve.MatrixRankWarning:
  - UserWarning
  scipy.sparse.linalg._eigen.arpack.arpack.ArpackError:
  - RuntimeError
  scipy.sparse.linalg._eigen.arpack.arpack.ArpackNoConvergence:
  - ArpackError
  scipy.sparse.linalg._eigen.arpack.arpack.IterInv:
  - LinearOperator
  scipy.sparse.linalg._eigen.arpack.arpack.IterOpInv:
  - LinearOperator
  scipy.sparse.linalg._eigen.arpack.arpack.LuInv:
  - LinearOperator
  scipy.sparse.linalg._eigen.arpack.arpack.SpLuInv:
  - LinearOperator
  scipy.sparse.linalg._eigen.arpack.arpack._ArpackParams: []
  scipy.sparse.linalg._eigen.arpack.arpack._SymmetricArpackParams:
  - _ArpackParams
  scipy.sparse.linalg._eigen.arpack.arpack._UnsymmetricArpackParams:
  - _ArpackParams
  scipy.sparse.linalg._expm_multiply.LazyOperatorNormInfo: []
  scipy.sparse.linalg._interface.IdentityOperator:
  - LinearOperator
  scipy.sparse.linalg._interface.LinearOperator: []
  scipy.sparse.linalg._interface.MatrixLinearOperator:
  - LinearOperator
  scipy.sparse.linalg._interface._AdjointLinearOperator:
  - LinearOperator
  scipy.sparse.linalg._interface._AdjointMatrixOperator:
  - MatrixLinearOperator
  scipy.sparse.linalg._interface._CustomLinearOperator:
  - LinearOperator
  scipy.sparse.linalg._interface._PowerLinearOperator:
  - LinearOperator
  scipy.sparse.linalg._interface._ProductLinearOperator:
  - LinearOperator
  scipy.sparse.linalg._interface._ScaledLinearOperator:
  - LinearOperator
  scipy.sparse.linalg._interface._SumLinearOperator:
  - LinearOperator
  scipy.sparse.linalg._interface._TransposedLinearOperator:
  - LinearOperator
  scipy.sparse.linalg._matfuncs.MatrixPowerOperator:
  - LinearOperator
  scipy.sparse.linalg._matfuncs.ProductOperator:
  - LinearOperator
  scipy.sparse.linalg._matfuncs._ExpmPadeHelper: []
  scipy.sparse.linalg._special_sparse_arrays.LaplacianNd:
  - LinearOperator
  scipy.sparse.linalg._special_sparse_arrays.MikotaK:
  - LinearOperator
  scipy.sparse.linalg._special_sparse_arrays.MikotaM:
  - LinearOperator
  scipy.sparse.linalg._special_sparse_arrays.MikotaPair: []
  scipy.sparse.linalg._special_sparse_arrays.Sakurai:
  - LinearOperator
  scipy.sparse.linalg._svdp._AProd: []
  scipy.spatial._kdtree.KDTree:
  - cKDTree
  scipy.spatial._kdtree.KDTree.innernode:
  - node
  scipy.spatial._kdtree.KDTree.leafnode:
  - node
  scipy.spatial._kdtree.KDTree.node: []
  scipy.spatial._kdtree.Rectangle: []
  scipy.spatial._spherical_voronoi.SphericalVoronoi: []
  scipy.spatial.distance.CDistMetricWrapper: []
  scipy.spatial.distance.MetricInfo: []
  scipy.spatial.distance.PDistMetricWrapper: []
  scipy.spatial.transform._rotation_spline.RotationSpline: []
  scipy.special._mptestutils.Arg: []
  scipy.special._mptestutils.ComplexArg: []
  scipy.special._mptestutils.FixedArg: []
  scipy.special._mptestutils.IntArg: []
  scipy.special._mptestutils.MpmathData: []
  scipy.special._mptestutils.TimeoutError:
  - Exception
  scipy.special._orthogonal.orthopoly1d: []
  scipy.special._precompute.wright_bessel.asymptotic_series.coef_C: []
  scipy.special._precompute.wright_bessel.asymptotic_series.g: []
  scipy.special._sf_error.SpecialFunctionError:
  - Exception
  scipy.special._sf_error.SpecialFunctionWarning:
  - Warning
  scipy.special._testutils.FuncData: []
  scipy.special._testutils.MissingModule: []
  scipy.stats._binomtest.BinomTestResult: []
  scipy.stats._censored_data.CensoredData: []
  scipy.stats._continuous_distns.FitDataError:
  - ValueError
  scipy.stats._continuous_distns.FitSolverError:
  - FitError
  scipy.stats._continuous_distns.FitUniformFixedScaleDataError:
  - FitDataError
  scipy.stats._continuous_distns.alpha_gen:
  - rv_continuous
  scipy.stats._continuous_distns.anglit_gen:
  - rv_continuous
  scipy.stats._continuous_distns.arcsine_gen:
  - rv_continuous
  scipy.stats._continuous_distns.argus_gen:
  - rv_continuous
  scipy.stats._continuous_distns.beta_gen:
  - rv_continuous
  scipy.stats._continuous_distns.betaprime_gen:
  - rv_continuous
  scipy.stats._continuous_distns.bradford_gen:
  - rv_continuous
  scipy.stats._continuous_distns.burr12_gen:
  - rv_continuous
  scipy.stats._continuous_distns.burr_gen:
  - rv_continuous
  scipy.stats._continuous_distns.cauchy_gen:
  - rv_continuous
  scipy.stats._continuous_distns.chi2_gen:
  - rv_continuous
  scipy.stats._continuous_distns.chi_gen:
  - rv_continuous
  scipy.stats._continuous_distns.cosine_gen:
  - rv_continuous
  scipy.stats._continuous_distns.crystalball_gen:
  - rv_continuous
  scipy.stats._continuous_distns.dgamma_gen:
  - rv_continuous
  scipy.stats._continuous_distns.dweibull_gen:
  - rv_continuous
  scipy.stats._continuous_distns.erlang_gen:
  - gamma_gen
  scipy.stats._continuous_distns.expon_gen:
  - rv_continuous
  scipy.stats._continuous_distns.exponnorm_gen:
  - rv_continuous
  scipy.stats._continuous_distns.exponpow_gen:
  - rv_continuous
  scipy.stats._continuous_distns.exponweib_gen:
  - rv_continuous
  scipy.stats._continuous_distns.f_gen:
  - rv_continuous
  scipy.stats._continuous_distns.fatiguelife_gen:
  - rv_continuous
  scipy.stats._continuous_distns.fisk_gen:
  - burr_gen
  scipy.stats._continuous_distns.foldcauchy_gen:
  - rv_continuous
  scipy.stats._continuous_distns.foldnorm_gen:
  - rv_continuous
  scipy.stats._continuous_distns.gamma_gen:
  - rv_continuous
  scipy.stats._continuous_distns.gausshyper_gen:
  - rv_continuous
  scipy.stats._continuous_distns.genexpon_gen:
  - rv_continuous
  scipy.stats._continuous_distns.genextreme_gen:
  - rv_continuous
  scipy.stats._continuous_distns.gengamma_gen:
  - rv_continuous
  scipy.stats._continuous_distns.genhalflogistic_gen:
  - rv_continuous
  scipy.stats._continuous_distns.genhyperbolic_gen:
  - rv_continuous
  scipy.stats._continuous_distns.geninvgauss_gen:
  - rv_continuous
  scipy.stats._continuous_distns.genlogistic_gen:
  - rv_continuous
  scipy.stats._continuous_distns.gennorm_gen:
  - rv_continuous
  scipy.stats._continuous_distns.genpareto_gen:
  - rv_continuous
  scipy.stats._continuous_distns.gibrat_gen:
  - rv_continuous
  scipy.stats._continuous_distns.gompertz_gen:
  - rv_continuous
  scipy.stats._continuous_distns.gumbel_l_gen:
  - rv_continuous
  scipy.stats._continuous_distns.gumbel_r_gen:
  - rv_continuous
  scipy.stats._continuous_distns.halfcauchy_gen:
  - rv_continuous
  scipy.stats._continuous_distns.halfgennorm_gen:
  - rv_continuous
  scipy.stats._continuous_distns.halflogistic_gen:
  - rv_continuous
  scipy.stats._continuous_distns.halfnorm_gen:
  - rv_continuous
  scipy.stats._continuous_distns.hypsecant_gen:
  - rv_continuous
  scipy.stats._continuous_distns.invgamma_gen:
  - rv_continuous
  scipy.stats._continuous_distns.invgauss_gen:
  - rv_continuous
  scipy.stats._continuous_distns.invweibull_gen:
  - rv_continuous
  scipy.stats._continuous_distns.jf_skew_t_gen:
  - rv_continuous
  scipy.stats._continuous_distns.johnsonsb_gen:
  - rv_continuous
  scipy.stats._continuous_distns.johnsonsu_gen:
  - rv_continuous
  scipy.stats._continuous_distns.kappa3_gen:
  - rv_continuous
  scipy.stats._continuous_distns.kappa4_gen:
  - rv_continuous
  scipy.stats._continuous_distns.ksone_gen:
  - rv_continuous
  scipy.stats._continuous_distns.kstwo_gen:
  - rv_continuous
  scipy.stats._continuous_distns.kstwobign_gen:
  - rv_continuous
  scipy.stats._continuous_distns.laplace_asymmetric_gen:
  - rv_continuous
  scipy.stats._continuous_distns.laplace_gen:
  - rv_continuous
  scipy.stats._continuous_distns.levy_gen:
  - rv_continuous
  scipy.stats._continuous_distns.levy_l_gen:
  - rv_continuous
  scipy.stats._continuous_distns.loggamma_gen:
  - rv_continuous
  scipy.stats._continuous_distns.logistic_gen:
  - rv_continuous
  scipy.stats._continuous_distns.loglaplace_gen:
  - rv_continuous
  scipy.stats._continuous_distns.lognorm_gen:
  - rv_continuous
  scipy.stats._continuous_distns.lomax_gen:
  - rv_continuous
  scipy.stats._continuous_distns.maxwell_gen:
  - rv_continuous
  scipy.stats._continuous_distns.mielke_gen:
  - rv_continuous
  scipy.stats._continuous_distns.moyal_gen:
  - rv_continuous
  scipy.stats._continuous_distns.nakagami_gen:
  - rv_continuous
  scipy.stats._continuous_distns.ncf_gen:
  - rv_continuous
  scipy.stats._continuous_distns.nct_gen:
  - rv_continuous
  scipy.stats._continuous_distns.ncx2_gen:
  - rv_continuous
  scipy.stats._continuous_distns.norm_gen:
  - rv_continuous
  scipy.stats._continuous_distns.norminvgauss_gen:
  - rv_continuous
  scipy.stats._continuous_distns.pareto_gen:
  - rv_continuous
  scipy.stats._continuous_distns.pearson3_gen:
  - rv_continuous
  scipy.stats._continuous_distns.powerlaw_gen:
  - rv_continuous
  scipy.stats._continuous_distns.powerlognorm_gen:
  - rv_continuous
  scipy.stats._continuous_distns.powernorm_gen:
  - rv_continuous
  scipy.stats._continuous_distns.rayleigh_gen:
  - rv_continuous
  scipy.stats._continuous_distns.rdist_gen:
  - rv_continuous
  scipy.stats._continuous_distns.recipinvgauss_gen:
  - rv_continuous
  scipy.stats._continuous_distns.reciprocal_gen:
  - rv_continuous
  scipy.stats._continuous_distns.rel_breitwigner_gen:
  - rv_continuous
  scipy.stats._continuous_distns.rice_gen:
  - rv_continuous
  scipy.stats._continuous_distns.rv_histogram:
  - rv_continuous
  scipy.stats._continuous_distns.semicircular_gen:
  - rv_continuous
  scipy.stats._continuous_distns.skewcauchy_gen:
  - rv_continuous
  scipy.stats._continuous_distns.skewnorm_gen:
  - rv_continuous
  scipy.stats._continuous_distns.studentized_range_gen:
  - rv_continuous
  scipy.stats._continuous_distns.t_gen:
  - rv_continuous
  scipy.stats._continuous_distns.trapezoid_gen:
  - rv_continuous
  scipy.stats._continuous_distns.triang_gen:
  - rv_continuous
  scipy.stats._continuous_distns.truncexpon_gen:
  - rv_continuous
  scipy.stats._continuous_distns.truncnorm_gen:
  - rv_continuous
  scipy.stats._continuous_distns.truncpareto_gen:
  - rv_continuous
  scipy.stats._continuous_distns.truncweibull_min_gen:
  - rv_continuous
  scipy.stats._continuous_distns.tukeylambda_gen:
  - rv_continuous
  scipy.stats._continuous_distns.uniform_gen:
  - rv_continuous
  scipy.stats._continuous_distns.vonmises_gen:
  - rv_continuous
  scipy.stats._continuous_distns.wald_gen:
  - invgauss_gen
  scipy.stats._continuous_distns.weibull_max_gen:
  - rv_continuous
  scipy.stats._continuous_distns.weibull_min_gen:
  - rv_continuous
  scipy.stats._continuous_distns.wrapcauchy_gen:
  - rv_continuous
  scipy.stats._covariance.CovViaCholesky:
  - Covariance
  scipy.stats._covariance.CovViaDiagonal:
  - Covariance
  scipy.stats._covariance.CovViaEigendecomposition:
  - Covariance
  scipy.stats._covariance.CovViaPSD:
  - Covariance
  scipy.stats._covariance.CovViaPrecision:
  - Covariance
  scipy.stats._covariance.Covariance: []
  scipy.stats._discrete_distns._nchypergeom_gen:
  - rv_discrete
  scipy.stats._discrete_distns.bernoulli_gen:
  - binom_gen
  scipy.stats._discrete_distns.betabinom_gen:
  - rv_discrete
  scipy.stats._discrete_distns.betanbinom_gen:
  - rv_discrete
  scipy.stats._discrete_distns.binom_gen:
  - rv_discrete
  scipy.stats._discrete_distns.boltzmann_gen:
  - rv_discrete
  scipy.stats._discrete_distns.dlaplace_gen:
  - rv_discrete
  scipy.stats._discrete_distns.geom_gen:
  - rv_discrete
  scipy.stats._discrete_distns.hypergeom_gen:
  - rv_discrete
  scipy.stats._discrete_distns.logser_gen:
  - rv_discrete
  scipy.stats._discrete_distns.nbinom_gen:
  - rv_discrete
  scipy.stats._discrete_distns.nchypergeom_fisher_gen:
  - _nchypergeom_gen
  scipy.stats._discrete_distns.nchypergeom_wallenius_gen:
  - _nchypergeom_gen
  scipy.stats._discrete_distns.nhypergeom_gen:
  - rv_discrete
  scipy.stats._discrete_distns.planck_gen:
  - rv_discrete
  scipy.stats._discrete_distns.poisson_gen:
  - rv_discrete
  scipy.stats._discrete_distns.randint_gen:
  - rv_discrete
  scipy.stats._discrete_distns.skellam_gen:
  - rv_discrete
  scipy.stats._discrete_distns.yulesimon_gen:
  - rv_discrete
  scipy.stats._discrete_distns.zipf_gen:
  - rv_discrete
  scipy.stats._discrete_distns.zipfian_gen:
  - rv_discrete
  scipy.stats._distn_infrastructure._ShapeInfo: []
  scipy.stats._distn_infrastructure.rv_continuous:
  - rv_generic
  scipy.stats._distn_infrastructure.rv_continuous_frozen:
  - rv_frozen
  scipy.stats._distn_infrastructure.rv_discrete:
  - rv_generic
  scipy.stats._distn_infrastructure.rv_discrete_frozen:
  - rv_frozen
  scipy.stats._distn_infrastructure.rv_frozen: []
  scipy.stats._distn_infrastructure.rv_generic: []
  scipy.stats._distn_infrastructure.rv_sample:
  - rv_discrete
  scipy.stats._fit.FitResult: []
  scipy.stats._hypotests.BarnardExactResult: []
  scipy.stats._hypotests.BoschlooExactResult: []
  scipy.stats._hypotests.CramerVonMisesResult: []
  scipy.stats._hypotests.SomersDResult: []
  scipy.stats._hypotests.TukeyHSDResult: []
  scipy.stats._kde.gaussian_kde: []
  scipy.stats._levy_stable.levy_stable_gen:
  - rv_continuous
  scipy.stats._mannwhitneyu._MWU: []
  scipy.stats._morestats.DirectionalStats: []
  scipy.stats._morestats._ABW: []
  scipy.stats._morestats._BigFloat: []
  scipy.stats._multicomp.DunnettResult: []
  scipy.stats._multivariate._PSD: []
  scipy.stats._multivariate.dirichlet_frozen:
  - multi_rv_frozen
  scipy.stats._multivariate.dirichlet_gen:
  - multi_rv_generic
  scipy.stats._multivariate.dirichlet_multinomial_frozen:
  - multi_rv_frozen
  scipy.stats._multivariate.dirichlet_multinomial_gen:
  - multi_rv_generic
  scipy.stats._multivariate.invwishart_frozen:
  - multi_rv_frozen
  scipy.stats._multivariate.invwishart_gen:
  - wishart_gen
  scipy.stats._multivariate.matrix_normal_frozen:
  - multi_rv_frozen
  scipy.stats._multivariate.matrix_normal_gen:
  - multi_rv_generic
  scipy.stats._multivariate.multi_rv_frozen: []
  scipy.stats._multivariate.multi_rv_generic: []
  scipy.stats._multivariate.multinomial_frozen:
  - multi_rv_frozen
  scipy.stats._multivariate.multinomial_gen:
  - multi_rv_generic
  scipy.stats._multivariate.multivariate_hypergeom_frozen:
  - multi_rv_frozen
  scipy.stats._multivariate.multivariate_hypergeom_gen:
  - multi_rv_generic
  scipy.stats._multivariate.multivariate_normal_frozen:
  - multi_rv_frozen
  scipy.stats._multivariate.multivariate_normal_gen:
  - multi_rv_generic
  scipy.stats._multivariate.multivariate_t_frozen:
  - multi_rv_frozen
  scipy.stats._multivariate.multivariate_t_gen:
  - multi_rv_generic
  scipy.stats._multivariate.ortho_group_frozen:
  - multi_rv_frozen
  scipy.stats._multivariate.ortho_group_gen:
  - multi_rv_generic
  scipy.stats._multivariate.random_correlation_frozen:
  - multi_rv_frozen
  scipy.stats._multivariate.random_correlation_gen:
  - multi_rv_generic
  scipy.stats._multivariate.random_table_frozen:
  - multi_rv_frozen
  scipy.stats._multivariate.random_table_gen:
  - multi_rv_generic
  scipy.stats._multivariate.special_ortho_group_frozen:
  - multi_rv_frozen
  scipy.stats._multivariate.special_ortho_group_gen:
  - multi_rv_generic
  scipy.stats._multivariate.uniform_direction_frozen:
  - multi_rv_frozen
  scipy.stats._multivariate.uniform_direction_gen:
  - multi_rv_generic
  scipy.stats._multivariate.unitary_group_frozen:
  - multi_rv_frozen
  scipy.stats._multivariate.unitary_group_gen:
  - multi_rv_generic
  scipy.stats._multivariate.vonmises_fisher_frozen:
  - multi_rv_frozen
  scipy.stats._multivariate.vonmises_fisher_gen:
  - multi_rv_generic
  scipy.stats._multivariate.wishart_frozen:
  - multi_rv_frozen
  scipy.stats._multivariate.wishart_gen:
  - multi_rv_generic
  scipy.stats._odds_ratio.OddsRatioResult: []
  scipy.stats._page_trend_test.PageTrendTestResult: []
  scipy.stats._page_trend_test._PageL: []
  scipy.stats._qmc.Halton:
  - QMCEngine
  scipy.stats._qmc.LatinHypercube:
  - QMCEngine
  scipy.stats._qmc.MultinomialQMC: []
  scipy.stats._qmc.MultivariateNormalQMC: []
  scipy.stats._qmc.PoissonDisk:
  - QMCEngine
  scipy.stats._qmc.QMCEngine:
  - ABC
  scipy.stats._qmc.Sobol:
  - QMCEngine
  scipy.stats._relative_risk.RelativeRiskResult: []
  scipy.stats._resampling.BootstrapMethod:
  - ResamplingMethod
  scipy.stats._resampling.BootstrapResult: []
  scipy.stats._resampling.MonteCarloMethod:
  - ResamplingMethod
  scipy.stats._resampling.MonteCarloTestResult: []
  scipy.stats._resampling.PermutationMethod:
  - ResamplingMethod
  scipy.stats._resampling.PermutationTestResult: []
  scipy.stats._resampling.ResamplingMethod: []
  scipy.stats._sampling.CustomDistPINV: []
  scipy.stats._sampling.FastGeneratorInversion: []
  scipy.stats._sampling.RatioUniforms: []
  scipy.stats._sensitivity_analysis.BootstrapSobolResult: []
  scipy.stats._sensitivity_analysis.PPFDist:
  - Protocol
  scipy.stats._sensitivity_analysis.SobolResult: []
  scipy.stats._stats_py.AlexanderGovernResult: []
  scipy.stats._stats_py.PearsonRResult:
  - PearsonRResultBase
  scipy.stats._stats_py.QuantileTestResult: []
  scipy.stats._stats_py.TtestResult:
  - TtestResultBase
  scipy.stats._stats_py._ParallelP: []
  scipy.stats._survival.ECDFResult: []
  scipy.stats._survival.EmpiricalDistributionFunction: []
  scipy.stats._survival.LogRankResult: []
  scipy.stats._warnings_errors.ConstantInputWarning:
  - DegenerateDataWarning
  scipy.stats._warnings_errors.DegenerateDataWarning:
  - RuntimeWarning
  scipy.stats._warnings_errors.FitError:
  - RuntimeError
  scipy.stats._warnings_errors.NearConstantInputWarning:
  - DegenerateDataWarning
ep:
  func_name: TestOneInput
  module: '...fuzz_io_mio5'
