[c @`s&dZddlmZmZmZmZddlmZmZm Z m Z m Z m Z m Z mZmZmZmZmZmZmZmZmZmZmZmZmZmZmZddlmZmZddl m!Z!m"Z"m#Z#m$Z$m%Z%ddl&Z'iidddgd 6de'j(de'j(d gd 6d d d gd 6ddgd6e'j(de'j)d6e6idddgd 6ddgd 6ddgd 6ddgd6dd6e6idddgd 6dddddgd 6dddddgd 6ddgd6dd6e 6iddgd 6de'j)ddgd 6de'j)ddgd 6ddgd6dd6e 6idddgd 6dddddgd 6d ddddgd 6ddgd6dd6e 6idddgd 6dddddgd 6d ddddgd 6dd gd6dd6e 6iddddgd 6dddd!d"ddgd 6dddddddgd 6ddgd6dd6e 6idgd 6dde'j)d#dgd 6dddddgd 6ddgd6d d6e6iddddgd 6dddddgd 6d d$d$d%d%gd 6ddgd6dd6d&d'd(d)gd*6ddddgd+6e6idddgd 6iie*d,6d-6d.6ddd/gd 6d d%d0gd 6ddgd6e*d16d2d6e!6iddddgd 6iie*d36d-6d.6dddd/gd 6d4d d5d6gd 6dd/gd6e*d16e"6iddd7ddgd 6iie*d36e*d86d-6d.6d%dd/gd 6d9d d9gd 6d%d/gd6e*d16e#6iddddgd 6iie*d,6d-6d.6dddd/gd 6d:d;d<d=gd 6d%d/gd6e*d16e$6iddddgd 6iie*d,6d-6d.6dddd/gd 6d>d?d@dAgd 6dd/gd6e*d16e%6iiddB6d dC6d dD6d dE6d 6ddd/gd 6ddFdGgd 6ddgd6e6idd dHgd 6dddd/gd 6dIdJdKdLgd 6e*dM6ddgd6e*d16e6iddddNgd 6dddHdOdgd 6dPdQdRdSdTgd 6ddgd6e6Z+i i dddddgd 6iie*dU6d-6d.6de'j(de'j(d gd 6de'j(de'j(d gd 6dd e'j,ddd e'j,ddgdV6ddgd6ddgdW6de'j)d6dXdYdZd!d[e'j)dHgd*6ddddHdHdgd+6e6idgd 6dde'j)d#dgd 6ddde'j)dgd 6dddddgdV6ddgd6ddgdW6d\d6e6idddddgd 6dddddddgd 6dddddddgd 6dddddddgdV6ddgd6ddgdW6d/d6e6iddddgd 6dddddddddg d 6dddddddddg d 6d d]d]d^d^d]d]d^d^g dV6dd_gd6dd_gdW6dd6e6idddddgd 6dddd!gd 6ddd!dgd 6ddddgdV6ddgd6ddgdW6e6id`dddgd 6dddddgd 6dddddgd 6dadbdcddddgdV6ddgd6ddgdW6e*dM6e6idddddgd 6dddddgd 6dddddgd 6d dedfdfdggdV6ddgd6ddgdW6e6iiddB6d dh6d di6d dj6d 6dddgd 6dddgd 6ddkdkgdV6dd/gd6dd/gdW6e6iddddgd 6dddddddgd 6dddddddgd 6dddddddgdV6ddgd6ddgdW6e'j)dtd6e6idddddgd 6dddddddgd 6dddddddgd 6dddddddgdV6ddgd6ddgdW6e'j)dudvd6e6iddldHdmdmddgd 6dddd/gd 6dd/ddgd 6dndodpdqgdV6e*dM6ddrgd6ddrgdW6e6idddgd 6de'j)ddgd 6e'j)dddgd 6e'j)e'j)dsdsgdV6ddgd6ddgdW6dd6e6Z-dS(wu' Here are all the test parameters and values for the each `~astropy.modeling.FittableModel` defined. There is a dictionary for 1D and a dictionary for 2D models. Explanation of keywords of the dictionaries: "parameters" : list or dict Model parameters, the model is tested with. Make sure you keep the right order. For polynomials you can also use a dict to specify the coefficients. See examples below. "x_values" : list x values where the model is evaluated. "y_values" : list Reference y values for the in x_values given positions. "z_values" : list Reference z values for the in x_values and y_values given positions. (2D model option) "x_lim" : list x test range for the model fitter. Depending on the model this can differ e.g. the PowerLaw model should be tested over a few magnitudes. "y_lim" : list y test range for the model fitter. Depending on the model this can differ e.g. the PowerLaw model should be tested over a few magnitudes. (2D model option) "log_fit" : bool PowerLaw models should be tested over a few magnitudes. So log_fit should be true. "requires_scipy" : bool If a model requires scipy (Bessel functions etc.) set this flag. "integral" : float Approximate value of the integral in the range x_lim (and y_lim). "deriv_parameters" : list If given the test of the derivative will use these parameters to create a model (optional) "deriv_initial" : list If given the test of the derivative will use these parameters as initial values for the fit (optional) i(tabsolute_importtdivisiontprint_functiontunicode_literalsi(t Gaussian1DtSine1DtBox1DtLinear1Dt Lorentz1Dt MexicanHat1Dt Trapezoid1DtConst1DtMoffat1Dt Gaussian2DtConst2DtBox2Dt MexicanHat2DtTrapezoidDisk2Dt AiryDisk2DtMoffat2DtDisk2DtRing2DtSersic1DtSersic2DtVoigt1DtPlanar2D(t Polynomial1Dt Polynomial2D(t PowerLaw1DtBrokenPowerLaw1DtSmoothlyBrokenPowerLaw1DtExponentialCutoffPowerLaw1Dt LogParabola1DNiu parametersux_valuesg?gۦx\T?uy_valuesii ux_limuintegralg?g@iii*ig?gg?iigglPiig?ggEg?g{Gz?gffffff7@g333333?g@gffffff@uderiv_parametersu deriv_initialux_0ufixedu constraintsidg-C6?ulog_fitgGz?ux_breakgY@gMbP?gư>iudeltagE__5:?gܝ..X@gi?glXa7?g6Sudegreeuc0uc1uc2ioiu'igYLjq@g͎T}L@gb @gB{3?urequires_scipyg?ig?gYO0?g>4`p?gʤ6P?g_% D?uthetauz_valuesuy_limg a@gffffff@g@g@igF_Ah?g5裿i ig@g/@g2vX@gWs}@g9?q?gM?gmf?uc0_0uc1_0uc0_1iii2gSRD?grߤH?gƥd?g?g _Bi)iidi(.t__doc__t __future__RRRRtfunctional_modelsRRRRRR R R R R RRRRRRRRRRRRt polynomialRRt powerlawsRRRRR tnumpytnptsqrttpitTruet models_1Dtexpt models_2D(((sDlib/python2.7/site-packages/astropy/modeling/tests/example_models.pyt2s"( #                                  #    ##2          ""        #