diff --git a/NSSEA/__constraints.py b/NSSEA/__constraints.py index 1fb7c76..a02663d 100755 --- a/NSSEA/__constraints.py +++ b/NSSEA/__constraints.py @@ -94,6 +94,8 @@ import scipy.stats as sc import pandas as pd import xarray as xr +from cmdstanpy import CmdStanModel + from.__multi_model import MultiModel from .__tools import matrix_squareroot @@ -328,6 +330,46 @@ def _constrain_law_keep( climIn , Yo , keep , n_mcmc_drawn_min , n_mcmc_drawn_ma pass ##}}} +def _constrain_law_ess( climIn , Yo , n_mcmc_drawn_min , n_mcmc_drawn_max , verbose , **kwargs ):##{{{ + #Warning : Sample are saved given another coordinate : "sample_MCMC" with X sample attached + clim = climIn.copy() + + pb = ProgressBar( clim.n_sample + 1 , "constrain_law" , verbose ) + + n_ess = kwargs.get("n_ess") + if n_ess is None: + n_ess = 10 + min_rate_accept = 0 + ns_params_names = clim.ns_law.get_params_names() + n_features = clim.ns_law.n_ns_params + ## Define prior + prior_mean = clim.data["mm_mean"][-clim.n_coef:].values + prior_cov = clim.data["mm_cov"][-clim.n_coef:,-clim.n_coef:].values + prior_law = sc.multivariate_normal( mean = prior_mean , cov = prior_cov , allow_singular = True ) + + #OUtput + results=np.array([]) + sample_names =[s+"_"+str(i) for i in range(n_ess) for s in clim.sample[1:]]+["BE"] + + law_coef_bay = xr.DataArray( np.zeros( (n_features,(clim.n_sample)*n_ess + 1,1) ) , coords = [ ns_params_names , sample_names , ["Multi_Synthesis"] ] , dims = ["coef","sample_MCMC","model"] ) + ## And now MCMC loop + for s in clim.sample[1:]: + pb.print() + X = clim.X.loc[Yo.index,s,"F","Multi_Synthesis"].values.squeeze() + n_mcmc_drawn = np.random.randint( n_mcmc_drawn_min , n_mcmc_drawn_max ) + draw = clim.ns_law.drawn_bayesian( Yo.values.squeeze() , X , n_mcmc_drawn , prior_law , min_rate_accept , **kwargs ) + n_tirage=(len(draw)//n_ess) + select=draw[0::n_tirage][:n_ess] + law_coef_bay.loc[:,[s+"_"+str(i) for i in range(n_ess)],"Multi_Synthesis"]=select.T + + clim.law_coef=law_coef_bay + clim.law_coef.loc[:,"BE",:] = clim.law_coef[:,1:,:].median( dim = "sample_MCMC" ) + clim.BE_is_median = True + + pb.end() + + return clim + def constrain_law( climIn , Yo , keep = "all" , n_mcmc_drawn_min = 5000 , n_mcmc_drawn_max = 10000 , verbose = False , **kwargs ):##{{{ """ NSSEA.constrain_law @@ -338,7 +380,7 @@ def constrain_law( climIn , Yo , keep = "all" , n_mcmc_drawn_min = 5000 , n_mcmc --------- climIn : [NSSEA.Climatology] clim variable Yo : [pandas.DataFrame] Observations of ns_law - keep : [ "all" or a float between 0 and 1] If keep < 1, only a ratio of + keep : [ "all", "ess", or a float between 0 and 1] If keep < 1, only a ratio of keep covariates is used, and many coefficients are drawn for the same covariate. Faster, but can reduce confidence interval uncertainty. @@ -350,8 +392,10 @@ def constrain_law( climIn , Yo , keep = "all" , n_mcmc_drawn_min = 5000 , n_mcmc ------ clim : [NSSEA.Climatology] A copy is returned """ - - if keep == "all" or not keep < 1: + if keep == "ess": + return _constrain_law_ess( climIn , Yo , n_mcmc_drawn_min , n_mcmc_drawn_max , verbose , **kwargs ) + elif keep == "all" or not keep < 1: + #Maybe avoid a possible comparison between str and int ? put percentage as a kwarg ? return _constrain_law_all( climIn , Yo , n_mcmc_drawn_min , n_mcmc_drawn_max , verbose , **kwargs ) else: return _constrain_law_keep( climIn , Yo , keep , n_mcmc_drawn_min , n_mcmc_drawn_max , verbose , **kwargs ) @@ -625,5 +669,79 @@ def constraint_C0( climIn , Yo , verbose = False ): ##{{{ return climIn.copy() ##}}} +# Version originale Contrainte STAN +#Only for GEV original (covariable for mu and sigma, exponential sigma) +def stan_constrain(climIn,Yo,stan_file, **kwargs): + """ + NSSEA.constrain_law + =================== + Constrain the law_coef of the clim with a MCMC approach. + + Arguments + --------- + climIn : [NSSEA.Climatology] clim variable + Yo : [pandas.DataFrame] Observations of ns_law + keep : [ "all", "ess", or a float between 0 and 1] If keep < 1, only a ratio of + keep covariates is used, and many coefficients are drawn for the + same covariate. Faster, but can reduce confidence interval + uncertainty. + n_mcmc_draw_min: [integer] Minimum number of coef to draw for each covariate + n_mcmc_draw_max: [integer] Maximum number of coef to draw for each covariate + verbose : [bool] Print (or not) state of execution + + Return + ------ + clim : [NSSEA.Climatology] A copy is returned + """ + clim = climIn.copy() + + #data + X=clim.X.loc[Yo.index,'BE',"F","Multi_Synthesis"].values.squeeze() + N_X=len(X) + Y=Yo.values.squeeze() + N=len(Y) + p_m = clim.data["mm_mean"][-clim.n_coef:].values + p_cov = clim.data["mm_cov"][-clim.n_coef:,-clim.n_coef:].values + + u,s,v = np.linalg.svd(p_cov) + p_std = u @ np.sqrt(np.diag(s)) @ v.T + + #clim para + n_features = clim.ns_law.n_ns_params + ns_params_names = clim.ns_law.get_params_names() + n_ess = kwargs.get("n_ess") + if n_ess is None: + n_ess = 10 + + sample_names =[s+"_"+str(i) for i in range(n_ess) for s in clim.sample[1:]]+["BE"] + law_coef_bay = xr.DataArray( np.zeros( (n_features,(clim.n_sample)*n_ess + 1,1) ) , + coords = [ ns_params_names , sample_names , ["Multi_Synthesis"] ] , + dims = ["coef","sample_MCMC","model"] ) + + + + newDF = pd.DataFrame() #creates a new dataframe that's empty + samples = clim.X.loc[Yo.index,:,"F","Multi_Synthesis"].sample.values.squeeze()[1::] + #compile stan file + model = CmdStanModel(stan_file=stan_file) + #Run constraint with varying covariable + for s in samples: + print(s) + X=clim.X.loc[Yo.index,s,"F","Multi_Synthesis"].values.squeeze() + data = {"N":N, + "Y": Y, + "N_X": N_X, + "X": X, + "p_m":p_m, + "p_std":p_std + } + fit = model.sample(data=data,iter_sampling=int(n_ess/4),show_progress=False) + df = fit.draws_pd() + sub_def=df[['para[1]','para[2]','para[3]','para[4]','para[5]']] + law_coef_bay.loc[:,[s+"_"+str(i) for i in range(n_ess)], "Multi_Synthesis"] = sub_def.T + clim.law_coef=law_coef_bay + clim.law_coef.loc[:,"BE",:] = clim.law_coef[:,1:,:].median( dim = "sample_MCMC" ) + clim.BE_is_median = True + return clim diff --git a/NSSEA/__covariates.py b/NSSEA/__covariates.py index 2bae952..b5ef7cd 100755 --- a/NSSEA/__covariates.py +++ b/NSSEA/__covariates.py @@ -261,7 +261,7 @@ def error_distribution(self): ##}}} -def covariates_FC_GAM( clim , lX , XN , dof = 7 , method = "pygam" , verbose = False ):##{{{ +def covariates_FC_GAM( clim , lX , XN , dof = 7 , method = "pygam" , verbose = False, light=False ):##{{{ """ NSSEA.covariates_FC_GAM ======================= @@ -288,15 +288,16 @@ def covariates_FC_GAM( clim , lX , XN , dof = 7 , method = "pygam" , verbose = F method : [str] "statsmodels" or "pygam", select the package used to solve GAM model verbose : [bool] If we print the progress of the fit or not. + light: [bool] Only Best estimate or several samples. Only Best Estimate only possible for pygam """ if method == "pygam": - return _covariates_FC_GAM_pygam( clim , lX , XN , dof , verbose ) + return _covariates_FC_GAM_pygam( clim , lX , XN , dof , verbose, light ) else: return _covariates_FC_GAM_statsmodels( clim , lX , XN , dof , verbose ) ##}}} -def _covariates_FC_GAM_pygam( clim , lX , XN , dof = 7 , verbose = False ):##{{{ +def _covariates_FC_GAM_pygam( clim , lX , XN , dof = 7 , verbose = False, light=False ):##{{{ """ NSSEA.covariates_FC_GAM_pygam ============================= @@ -340,20 +341,20 @@ def _covariates_FC_GAM_pygam( clim , lX , XN , dof = 7 , verbose = False ):##{{{ ## Distribution of GAM coefficients gam_law = gam_model.error_distribution() coefs_ = gam_law.rvs(n_sample) - - for i,s in enumerate(samples[1:]): - pb.print() + if not light: + for i,s in enumerate(samples[1:]): + pb.print() - xn = XN.values[:,i+1] - XF = np.stack( (time ,xn) , -1 ) - XC = np.stack( (time_C,xn) , -1 ) + xn = XN.values[:,i+1] + XF = np.stack( (time ,xn) , -1 ) + XC = np.stack( (time_C,xn) , -1 ) - ## Perturbation - gam_model.coef_ = coefs_[i,:] + ## Perturbation + gam_model.coef_ = coefs_[i,:] - ## Final decomposition - dX.loc[:,s,"F",model] = gam_model.predict( XF ) - dX.loc[:,s,"C",model] = gam_model.predict( XC ) + ## Final decomposition + dX.loc[:,s,"F",model] = gam_model.predict( XF ) + dX.loc[:,s,"C",model] = gam_model.predict( XC ) clim.X = dX pb.end() diff --git a/NSSEA/__init__.py b/NSSEA/__init__.py index ce81324..8a77be9 100755 --- a/NSSEA/__init__.py +++ b/NSSEA/__init__.py @@ -116,6 +116,7 @@ from .__nsstats import statistics_fixed_IF from .__nsstats import build_params_along_time +from .__nsstats import build_params_along_time_ess from .__nsstats import add_return_time from .__nsstats import add_FAR from .__nsstats import add_bias @@ -124,7 +125,7 @@ from .__constraints import constrain_covariate from .__constraints import constrain_law from .__constraints import constraint_C0 - +from .__constraints import stan_constrain diff --git a/NSSEA/__multi_model.py b/NSSEA/__multi_model.py index cb1c210..43f8949 100755 --- a/NSSEA/__multi_model.py +++ b/NSSEA/__multi_model.py @@ -129,7 +129,6 @@ def _fit( self , mm_matrix ):##{{{ cov_S = np.zeros( (n_params,n_params) ) for i in range(n_models): cov_S += np.cov( mm_matrix[:,1:,i] ) - SSM = np.cov( mm_matrix[:,0,:] ) * ( n_models - 1 ) cov_CMU = matrix_positive_part( SSM / ( n_models - 1 ) - cov_S / n_models ) self.cov = ( n_models + 1 ) / n_models * cov_CMU + cov_S / n_models**2 @@ -152,13 +151,20 @@ def fit( self , mm_matrix ):##{{{ self._fit(mm_matrix) ##}}} + def rvs_old(self):##{{{ + """ + Return a random sample from multi model + """ + ### Depreciated for scipy 1.11.1 + return self.mean + self.std @ np.random.normal(size = self.mean.size) + ##}}} def rvs(self):##{{{ """ Return a random sample from multi model """ - return self.mean + self.std @ np.random.normal(size = self.mean.size) + ### Added for scipy 1.11.1 + return np.random.default_rng().multivariate_normal( mean=self.mean, cov = self.cov) ##}}} - ## Properties {{{ @property diff --git a/NSSEA/__nsfit.py b/NSSEA/__nsfit.py index 8dc712b..9ae1a07 100755 --- a/NSSEA/__nsfit.py +++ b/NSSEA/__nsfit.py @@ -94,11 +94,12 @@ from .__tools import ProgressBar + ############### ## Functions ## ############### -def nslaw_fit( lY , clim , verbose = False ): +def nslaw_fit( lY , clim , verbose = False, light=False ): """ NSSEA.nslaw_fit =============== @@ -139,21 +140,22 @@ def nslaw_fit( lY , clim , verbose = False ): law = clim.ns_law law.fit(Y.values,X.values) law_coef.loc[:,"BE",model] = law.get_params() - - for s in sample: - pb.print() + coef_be = law_coef.loc[:,"BE",model].values.ravel() + if not light: + for s in sample: + pb.print() - fit_is_valid = False - while not fit_is_valid: + fit_is_valid = False + while not fit_is_valid: - idx = np.random.choice( tY.size , tY.size , replace = True ) + idx = np.random.choice( tY.size , tY.size , replace = True ) - tYs = tY.values[idx] - Ys = Y.iloc[idx].values - Xs = clim.X.loc[tYs,s,"F",model].values - law.fit(Ys,Xs) - fit_is_valid = law.check( Y.values.squeeze() , X.values.squeeze() , np.arange( 0 , tY.size , 1 ) ) - law_coef.loc[:,s,model] = law.get_params() + tYs = tY.values[idx] + Ys = Y.iloc[idx].values + Xs = clim.X.loc[tYs,s,"F",model].values + law.fit(Ys,Xs, init = coef_be) + fit_is_valid = law.check( Y.values.squeeze() , X.values.squeeze() , np.arange( 0 , tY.size , 1 ) ) + law_coef.loc[:,s,model] = law.get_params() clim.law_coef = law_coef pb.end() diff --git a/NSSEA/__nsstats.py b/NSSEA/__nsstats.py index 1ee7233..01041df 100755 --- a/NSSEA/__nsstats.py +++ b/NSSEA/__nsstats.py @@ -555,7 +555,7 @@ def build_params_along_time( clim , verbose = False ):##{{{ """ NSSEA.extremes_stats ==================== - Build trajectories of params alon time + Build trajectories of params along time Arguments --------- @@ -596,4 +596,49 @@ def build_params_along_time( clim , verbose = False ):##{{{ ##}}} +def build_params_along_time_ess( clim , verbose = False ):##{{{ + """ + NSSEA.extremes_stats + ==================== + Build trajectories of params along time + Adaptated for MCMC sample changes with ess + Beware: Only function I adapted + + Arguments + --------- + clim : NSSEA.Climatology + A clim variable + verbose: bool + Print state of execution or not + + Return + ------ + params : xr.DataArray + An array containing params along time + + """ + ns_law = clim.ns_law + + l_params = [k for k in clim.ns_law.lparams] + xrdims = ["time","sample","forcing","param","model"] + xrcoords = [clim.time,clim.law_coef.sample_MCMC,["F","C"],l_params,clim.model] + s_params = xr.DataArray( np.zeros( (clim.n_time,len(clim.law_coef.sample_MCMC),2,len(l_params),clim.n_model) ) , dims = xrdims , coords = xrcoords ) + + + pb = ProgressBar( clim.n_model * (len(clim.law_coef.sample_MCMC)) , "build_params_along_time" , verbose = verbose ) + for m in clim.model: + for s in s_params.sample: + pb.print() + s_X=str(s.values).split("_")[0] + clim.ns_law.set_params( clim.law_coef.loc[:,s,m].values ) + for f in s_params.forcing: + clim.ns_law.set_covariable( clim.X.loc[clim.time,s_X,f,m].values , clim.time ) + for p in l_params: + s_params.loc[:,s,f,p,m] = clim.ns_law.lparams[p](clim.time) + + + if verbose: pb.end() + + return s_params + diff --git a/NSSEA/__pycache__/__constraints.cpython-312.pyc b/NSSEA/__pycache__/__constraints.cpython-312.pyc new file mode 100644 index 0000000..6381886 Binary files /dev/null and b/NSSEA/__pycache__/__constraints.cpython-312.pyc differ diff --git a/NSSEA/__pycache__/__constraints.cpython-38.pyc b/NSSEA/__pycache__/__constraints.cpython-38.pyc new file mode 100644 index 0000000..f1e5769 Binary files /dev/null and b/NSSEA/__pycache__/__constraints.cpython-38.pyc differ diff --git a/NSSEA/__pycache__/__covariates.cpython-312.pyc b/NSSEA/__pycache__/__covariates.cpython-312.pyc new file mode 100644 index 0000000..93d58d1 Binary files /dev/null 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variants-checkpoint.ipynb @@ -0,0 +1,439 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "0a09c73c", + "metadata": {}, + "outputs": [], + "source": [ + "import sys,os\n", + "import tarfile\n", + "import numpy as np\n", + "import pandas as pd\n", + "import xarray as xr\n", + "import time as tm\n", + "\n", + "import SDFC.link as sdl\n", + "import NSSEA as ns\n", + "import NSSEA.plot as nsp\n", + "import NSSEA.models as nsm" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "9069aca9", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'/home/barbauxo/miniconda3/envs/TestSDFC/bin/cmdstan'" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from cmdstanpy import CmdStanModel\n", + "import logging\n", + "from cmdstanpy import cmdstan_path, set_cmdstan_path\n", + "\n", + "set_cmdstan_path('/home/barbauxo/miniconda3/envs/TestSDFC/bin/cmdstan')\n", + "cmdstan_path()" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "eb1158b5", + "metadata": {}, + "outputs": [], + "source": [ + "#Useful modified\n", + "def correct_miss( X , lo = 100 , up = 350 ):##{{{\n", + "#\treturn X\n", + "\tmod = str(X.columns[0])\n", + "\tbad = np.logical_or( X < lo , X > up )\n", + "\tbad = np.logical_or( bad , np.isnan(X) )\n", + "\tbad = np.logical_or( bad , np.logical_not(np.isfinite(X)) )\n", + "\tif np.any(bad):\n", + "\t\tidx,_ = np.where(bad)\n", + "\t\tidx_co = np.copy(idx)\n", + "\t\tfor i in range(idx.size):\n", + "\t\t\tj = 0\n", + "\t\t\twhile idx[i] + j in idx:\n", + "\t\t\t\tj += 1\n", + "\t\t\tidx_co[i] += j\n", + "\t\tX.iloc[idx] = X.iloc[idx_co].values\n", + "\treturn X\n", + "##}}}\n", + "\n", + "def load_models_CMIP6(pathInp,type_data):\n", + " ## List of models X\n", + " pathInpX= os.path.join(pathInp,\"CMIP6/X\",type_data)\n", + " modelsX = [ \"_\".join(f.split(\"/\")[-1][:-3].split(\"_\")[-2:]) for f in os.listdir(pathInpX) ]\n", + " modelsX.sort()\n", + "\n", + " ## List of models Y\n", + " pathInpY= os.path.join(pathInp,\"CMIP6/Y\",type_data)\n", + " modelsY = [ \"_\".join(f.split(\"/\")[-1][:-3].split(\"_\")[-2:]) for f in os.listdir(pathInpY) ]\n", + " modelsY.sort()\n", + " models = list(set(modelsX) & set(modelsY))\n", + " models.sort()\n", + " print(models)\n", + "\n", + "\n", + " ## Load X and Y\n", + " lX = []\n", + " lY = []\n", + " if type_data== \"03_Post_treatment\":\n", + " \t\n", + " \tfor m in models:\n", + "\t\t\n", + " \t## Load X\n", + " \n", + " \tdf = xr.open_dataset( os.path.join( pathInpX , \"full_Europe_tas_YearMean_ssp585_{}.nc\".format(m) ) ,decode_times=True )\n", + " \ttime = df.time[\"time.year\"].values.astype(int)\n", + " \tX = pd.DataFrame( df.tas.values.ravel() , columns = [m] , index = time )\n", + " \t\n", + " \tlX.append( correct_miss(X , lo = -15 , up = 25))\n", + " \n", + " \t## Load Y\n", + " \tdf = xr.open_dataset( os.path.join( pathInpY , \"full_Tricastin_ssp585_{}.nc\".format(m) ) ,decode_times=True )\n", + " \ttime = df.time[\"time.year\"].values.astype(int)\n", + " \tY = pd.DataFrame( df.tasmax.values.ravel() , columns = [m] , \tindex = time )\n", + " \tlY.append( correct_miss(Y, lo = -15 , up = 25 ))\n", + " else:\n", + " \tfor m in models:\n", + "\n", + " \t## Load X\n", + " \n", + " \tdf = xr.open_dataset( os.path.join( pathInpX , \"full_Europe_tas_YearMean_ssp585_{}.nc\".format(m) ) ,decode_times=False )\n", + " \ttime = df.time.values.astype(int)\n", + " \tX = pd.DataFrame( df.tas.values.ravel() , columns = [m] , index = time )\n", + " \n", + " \tlX.append( correct_miss(X) )\n", + " \n", + " \t## Load Y\n", + " \tdf = xr.open_dataset( os.path.join( pathInpY , \"full_Tricastin_ssp585_{}.nc\".format(m) ) ,decode_times=False )\n", + " \ttime = df.time.values.astype(int)\n", + " \tY = pd.DataFrame( df.tasmax.values.ravel() , columns = [m] , \tindex = time )\n", + " \tlY.append( correct_miss(Y) )\n", + " return lX, lY,models\n", + " \n", + "\n", + "def load_obs(pathInp,type_data):\n", + " ## Load Observations\n", + " dXo = xr.open_dataset(os.path.join( pathInp ,\"Observations\",type_data,\"Xo.nc\"))\n", + " Xo = pd.DataFrame( dXo.tas.values.squeeze() , columns = [\"Xo\"] , index = dXo.time[\"time.year\"].values )\n", + "\n", + " Xo #Deja en anomalies\n", + " dYo = xr.open_dataset(os.path.join( pathInp ,\"Observations\",type_data,\"Yo.nc\"))\n", + " Yo = pd.DataFrame( dYo.TX.values.squeeze() , columns = [\"Yo\"] , index = dYo.time[\"time.year\"].values )\n", + " return Xo,Yo #en celsius" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "c9f60d44", + "metadata": {}, + "outputs": [], + "source": [ + "#Parameters\n", + "time_period = np.arange( 1850 , 2101 , 1 , dtype = int )\n", + "time_reference = np.arange( 1986 , 2016 , 1 , dtype = int )\n", + "\n", + "ci = 0.05\n", + "sample_dis=False #If want n sample of each GCM model. For graph only, not used for multisynthesis. Takes a lot of time\n", + "\n", + "#Time period of interest\n", + "T=100\n", + "T1=2000\n", + "T2=2100\n", + "deb=1850\n", + "fin=2101\n", + "\n", + "ns_law = nsm.GEV()\n", + "event = ns.Event( \"HW19\" , 2019 , time_reference , type_ = \"value\" , variable = \"TX3X\" , unit = \"K\" )\n", + "verbose = \"--not-verbose\" not in sys.argv" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "46049e24", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "['ACCESS-CM2_i1p1f1', 'ACCESS-ESM1-5_i1p1f1', 'CMCC-ESM2_i1p1f1', 'CNRM-CM6-1-HR_i1p1f2', 'CNRM-CM6-1_i1p1f2', 'CNRM-ESM2-1_i1p1f2', 'CanESM5_i1p2f1', 'EC-Earth3-CC_i1p1f1', 'EC-Earth3-Veg-LR_i1p1f1', 'EC-Earth3-Veg_i1p1f1', 'EC-Earth3_i1p1f1', 'FGOALS-g3_i1p1f1', 'GFDL-ESM4_i1p1f1', 'HadGEM3-GC31-LL_i1p1f3', 'HadGEM3-GC31-MM_i1p1f3', 'INM-CM4-8_i1p1f1', 'INM-CM5-0_i1p1f1', 'IPSL-CM6A-LR_i1p1f1', 'KACE-1-0-G_i1p1f1', 'MIROC-ES2L_i1p1f2', 'MIROC6_i1p1f1', 'MPI-ESM1-2-LR_i1p1f1', 'MRI-ESM2-0_i1p1f1', 'MRI-ESM2-0_i2p1f1', 'NESM3_i1p1f1', 'NorESM2-MM_i1p1f1', 'TaiESM1_i1p1f1', 'UKESM1-0-LL_i1p1f2']\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/tmp/ipykernel_64459/3393259602.py:5: FutureWarning: Calling float on a single element Series is deprecated and will raise a TypeError in the future. Use float(ser.iloc[0]) instead\n", + " event.value = float(Yo.loc[event.time])\n" + ] + } + ], + "source": [ + "pathInp='/home/barbauxo/Documents/Doctorat/03_Travail/2023_01 Application Tricastin/Data'\n", + "type_data=\"03_Post_treatment\" #\"02_Selected\"\n", + "lX,lY,models=load_models_CMIP6(pathInp,type_data)\n", + "Xo,Yo=load_obs(pathInp,type_data)\n", + "event.value = float(Yo.loc[event.time])" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "56ce68a3", + "metadata": {}, + "outputs": [], + "source": [ + "n_sample = 1000\n", + "verbose=False" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "a844383f", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "4260.950239181519\n" + ] + } + ], + "source": [ + "## Prior Functions (Yoann this is so slow)\n", + "##================================\n", + "t0 = tm.time()\n", + "clim = ns.Climatology( event , time_period , models ,n_sample , ns_law )\n", + "Xebm = ns.EBM().draw_sample( clim.time , n_sample + 1 , fix_first = 0 )\n", + "clim =ns.covariates_FC_GAM( clim , lX , Xebm , dof = 7 , verbose = False )\n", + "clim = ns.nslaw_fit( lY , clim , verbose = verbose ) \n", + "clim = ns.infer_multi_model( clim , verbose = verbose )\n", + "## Add constraint on X\n", + "clim_light_MM = clim.copy()\n", + "clim_light_MM.keep_models( \"Multi_Synthesis\" )\n", + "clim_CX = ns.constrain_covariate( clim_light_MM , Xo , time_reference , verbose = verbose )\n", + "t1 = tm.time()\n", + "total = t1-t0\n", + "print(total)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "96a9af31", + "metadata": {}, + "outputs": [], + "source": [ + "clim_CX.to_netcdf( \"clim_CX_test_\"+str(n_sample)+\".nc\")" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "ae9757da", + "metadata": {}, + "outputs": [], + "source": [ + "clim_CX=ns.Climatology.from_netcdf( \"clim_CX_test_\"+str(n_sample)+\".nc\" , ns_law )" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "3962e8a2", + "metadata": {}, + "outputs": [], + "source": [ + "#Metropolis Hasting Within Gibbs\n", + "t0 = tm.time()\n", + "bayes_kwargs = { \"n_mcmc_drawn_min\" : 5000 , \"n_mcmc_drawn_max\" : 10000 ,\"n_ess\" : 100, \"burn_in\" : 800 ,\"mcmc_init\":np.array([0]*5) }\n", + "bayes_kwargs[\"transition_type\"]=\"Adapt\"\n", + "bayes_kwargs[\"method_MCMC\"]=\"bayesian-experimental-mhwg-ess\"\n", + "climCXCB = ns.constrain_law( clim_CX , Yo , verbose = verbose , **bayes_kwargs )\n", + "t1 = tm.time()\n", + "total = t1-t0\n", + "print(total)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "f5b7cc3f", + "metadata": { + "scrolled": true + }, + "outputs": [], + "source": [ + "#stan version\n", + "bayes_kwargs = { \"n_ess\" : 100}#int(10000/(len(clim_CX.data.sample)-1)) } #Ici produit 10000 tirages en tout\n", + "t0 = tm.time()\n", + "climCXCB_stan_light=ns.stan_constrain(clim_CX,Yo,'stan_files/GEV_non_stationary.stan', **bayes_kwargs)\n", + "t1 = tm.time()\n", + "total = t1-t0\n", + "print(total)\n", + "climCXCB_stan_light.to_netcdf( (\"clim_CXCB_stan.nc\") ) " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "a88ca520", + "metadata": {}, + "outputs": [], + "source": [ + "#original with 100 ess\n", + "t0 = tm.time()\n", + "bayes_kwargs = { \"n_mcmc_drawn_min\" : 5000 , \"n_mcmc_drawn_max\" : 10000 ,\"n_ess\" : 100, \"burn_in\" : 800 ,\"mcmc_init\":np.array([0]*5) }\n", + "bayes_kwargs[\"transition_type\"]=\"Fixed\"\n", + "bayes_kwargs[\"method_MCMC\"]=\"bayesian-experimental-ess\"\n", + "climCXCB = ns.constrain_law( clim_CX , Yo , verbose = verbose , **bayes_kwargs )\n", + "t1 = tm.time()\n", + "total = t1-t0\n", + "print(total)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b1824c7b", + "metadata": {}, + "outputs": [], + "source": [ + "#Original" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "50012191", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/NSSEA/NSSEA/models/__AbstractModel.py:114: SyntaxWarning: invalid escape sequence '\\m'\n", + " self.name_tex = \"\\mathrm{\" + self.name + \"}\"\n" + ] + }, + { + "ename": "KeyboardInterrupt", + "evalue": "", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mKeyboardInterrupt\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[16], line 8\u001b[0m\n\u001b[1;32m 6\u001b[0m Xebm \u001b[38;5;241m=\u001b[39m ns\u001b[38;5;241m.\u001b[39mEBM()\u001b[38;5;241m.\u001b[39mdraw_sample( clim\u001b[38;5;241m.\u001b[39mtime , n_sample \u001b[38;5;241m+\u001b[39m \u001b[38;5;241m1\u001b[39m , fix_first \u001b[38;5;241m=\u001b[39m 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10\u001b[0m \u001b[38;5;66;03m## Add constraint on X\u001b[39;00m\n", + "File \u001b[0;32m~/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/NSSEA/NSSEA/__nsfit.py:156\u001b[0m, in \u001b[0;36mnslaw_fit\u001b[0;34m(lY, clim, verbose, light)\u001b[0m\n\u001b[1;32m 154\u001b[0m \tYs \u001b[38;5;241m=\u001b[39m Y\u001b[38;5;241m.\u001b[39miloc[idx]\u001b[38;5;241m.\u001b[39mvalues\n\u001b[1;32m 155\u001b[0m \tXs \u001b[38;5;241m=\u001b[39m clim\u001b[38;5;241m.\u001b[39mX\u001b[38;5;241m.\u001b[39mloc[tYs,s,\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mF\u001b[39m\u001b[38;5;124m\"\u001b[39m,model]\u001b[38;5;241m.\u001b[39mvalues\n\u001b[0;32m--> 156\u001b[0m \t\u001b[43mlaw\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfit\u001b[49m\u001b[43m(\u001b[49m\u001b[43mYs\u001b[49m\u001b[43m,\u001b[49m\u001b[43mXs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43minit\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m 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\u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_get_sdkwargs(X) }\n\u001b[1;32m 181\u001b[0m sdlaw \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39msdlaw( method \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mMLE\u001b[39m\u001b[38;5;124m\"\u001b[39m )\n\u001b[0;32m--> 182\u001b[0m \u001b[43msdlaw\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfit\u001b[49m\u001b[43m(\u001b[49m\u001b[43m \u001b[49m\u001b[43mY\u001b[49m\u001b[43m \u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43msdkwargs\u001b[49m\u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 183\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mset_params(sdlaw\u001b[38;5;241m.\u001b[39mcoef_)\n", + "File \u001b[0;32m~/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:371\u001b[0m, in \u001b[0;36mAbstractLaw.fit\u001b[0;34m(self, Y, **kwargs)\u001b[0m\n\u001b[1;32m 369\u001b[0m \t\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_special_fit()\n\u001b[1;32m 370\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_method \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mmle\u001b[39m\u001b[38;5;124m\"\u001b[39m :\n\u001b[0;32m--> 371\u001b[0m \t\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_fit_MLE\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 372\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_method \u001b[38;5;241m==\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mbayesian-experimental-mhwg\u001b[39m\u001b[38;5;124m\"\u001b[39m:\n\u001b[1;32m 373\u001b[0m \t\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_fit_Bayesian_MHWG(\u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n", + "File \u001b[0;32m~/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:243\u001b[0m, in \u001b[0;36mAbstractLaw._fit_MLE\u001b[0;34m(self, **kwargs)\u001b[0m\n\u001b[1;32m 241\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m warnings\u001b[38;5;241m.\u001b[39mcatch_warnings():\n\u001b[1;32m 242\u001b[0m \twarnings\u001b[38;5;241m.\u001b[39msimplefilter(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mignore\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m--> 243\u001b[0m \t\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39minfo_\u001b[38;5;241m.\u001b[39mmle_optim_result \u001b[38;5;241m=\u001b[39m \u001b[43msco\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mminimize\u001b[49m\u001b[43m(\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_negloglikelihood\u001b[49m\u001b[43m \u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcoef_\u001b[49m\u001b[43m \u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mjac\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_gradient_nlll\u001b[49m\u001b[43m \u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmethod\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mBFGS\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 244\u001b[0m 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708\u001b[0m \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39moptions)\n", + "File \u001b[0;32m~/miniconda3/envs/TestSDFC/lib/python3.12/site-packages/scipy/optimize/_optimize.py:1445\u001b[0m, in \u001b[0;36m_minimize_bfgs\u001b[0;34m(fun, x0, args, jac, callback, gtol, norm, eps, maxiter, disp, return_all, finite_diff_rel_step, xrtol, **unknown_options)\u001b[0m\n\u001b[1;32m 1442\u001b[0m pk \u001b[38;5;241m=\u001b[39m \u001b[38;5;241m-\u001b[39mnp\u001b[38;5;241m.\u001b[39mdot(Hk, gfk)\n\u001b[1;32m 1443\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m 1444\u001b[0m alpha_k, fc, gc, old_fval, old_old_fval, gfkp1 \u001b[38;5;241m=\u001b[39m \\\n\u001b[0;32m-> 1445\u001b[0m \u001b[43m_line_search_wolfe12\u001b[49m\u001b[43m(\u001b[49m\u001b[43mf\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmyfprime\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mxk\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mpk\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mgfk\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1446\u001b[0m \u001b[43m \u001b[49m\u001b[43mold_fval\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mold_old_fval\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mamin\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m1e-100\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mamax\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m1e100\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[1;32m 1447\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m _LineSearchError:\n\u001b[1;32m 1448\u001b[0m \u001b[38;5;66;03m# Line search failed to find a better solution.\u001b[39;00m\n\u001b[1;32m 1449\u001b[0m warnflag \u001b[38;5;241m=\u001b[39m \u001b[38;5;241m2\u001b[39m\n", + "File \u001b[0;32m~/miniconda3/envs/TestSDFC/lib/python3.12/site-packages/scipy/optimize/_optimize.py:1215\u001b[0m, in \u001b[0;36m_line_search_wolfe12\u001b[0;34m(f, fprime, xk, pk, gfk, old_fval, old_old_fval, **kwargs)\u001b[0m\n\u001b[1;32m 1201\u001b[0m \u001b[38;5;250m\u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m 1202\u001b[0m \u001b[38;5;124;03mSame as line_search_wolfe1, but fall back to line_search_wolfe2 if\u001b[39;00m\n\u001b[1;32m 1203\u001b[0m \u001b[38;5;124;03msuitable step length is not found, and raise an exception if a\u001b[39;00m\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 1210\u001b[0m \n\u001b[1;32m 1211\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m 1213\u001b[0m extra_condition \u001b[38;5;241m=\u001b[39m kwargs\u001b[38;5;241m.\u001b[39mpop(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mextra_condition\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;28;01mNone\u001b[39;00m)\n\u001b[0;32m-> 1215\u001b[0m ret \u001b[38;5;241m=\u001b[39m \u001b[43mline_search_wolfe1\u001b[49m\u001b[43m(\u001b[49m\u001b[43mf\u001b[49m\u001b[43m,\u001b[49m\u001b[43m 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\u001b[38;5;241m=\u001b[39m xk \u001b[38;5;241m+\u001b[39m ret[\u001b[38;5;241m0\u001b[39m] \u001b[38;5;241m*\u001b[39m pk\n", + "File \u001b[0;32m~/miniconda3/envs/TestSDFC/lib/python3.12/site-packages/scipy/optimize/_linesearch.py:84\u001b[0m, in \u001b[0;36mline_search_wolfe1\u001b[0;34m(f, fprime, xk, pk, gfk, old_fval, old_old_fval, args, c1, c2, amax, amin, xtol)\u001b[0m\n\u001b[1;32m 80\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m np\u001b[38;5;241m.\u001b[39mdot(gval[\u001b[38;5;241m0\u001b[39m], pk)\n\u001b[1;32m 82\u001b[0m derphi0 \u001b[38;5;241m=\u001b[39m np\u001b[38;5;241m.\u001b[39mdot(gfk, pk)\n\u001b[0;32m---> 84\u001b[0m stp, fval, old_fval \u001b[38;5;241m=\u001b[39m \u001b[43mscalar_search_wolfe1\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 85\u001b[0m \u001b[43m \u001b[49m\u001b[43mphi\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mderphi\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mold_fval\u001b[49m\u001b[43m,\u001b[49m\u001b[43m 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\u001b[0;32m~/miniconda3/envs/TestSDFC/lib/python3.12/site-packages/scipy/optimize/_linesearch.py:161\u001b[0m, in \u001b[0;36mscalar_search_wolfe1\u001b[0;34m(phi, derphi, phi0, old_phi0, derphi0, c1, c2, amax, amin, xtol)\u001b[0m\n\u001b[1;32m 159\u001b[0m alpha1 \u001b[38;5;241m=\u001b[39m stp\n\u001b[1;32m 160\u001b[0m phi1 \u001b[38;5;241m=\u001b[39m phi(stp)\n\u001b[0;32m--> 161\u001b[0m derphi1 \u001b[38;5;241m=\u001b[39m \u001b[43mderphi\u001b[49m\u001b[43m(\u001b[49m\u001b[43mstp\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 162\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m 163\u001b[0m \u001b[38;5;28;01mbreak\u001b[39;00m\n", + "File \u001b[0;32m~/miniconda3/envs/TestSDFC/lib/python3.12/site-packages/scipy/optimize/_linesearch.py:78\u001b[0m, in \u001b[0;36mline_search_wolfe1..derphi\u001b[0;34m(s)\u001b[0m\n\u001b[1;32m 77\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mderphi\u001b[39m(s):\n\u001b[0;32m---> 78\u001b[0m gval[\u001b[38;5;241m0\u001b[39m] \u001b[38;5;241m=\u001b[39m \u001b[43mfprime\u001b[49m\u001b[43m(\u001b[49m\u001b[43mxk\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m+\u001b[39;49m\u001b[43m \u001b[49m\u001b[43ms\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mpk\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 79\u001b[0m gc[\u001b[38;5;241m0\u001b[39m] \u001b[38;5;241m+\u001b[39m\u001b[38;5;241m=\u001b[39m \u001b[38;5;241m1\u001b[39m\n\u001b[1;32m 80\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m np\u001b[38;5;241m.\u001b[39mdot(gval[\u001b[38;5;241m0\u001b[39m], pk)\n", + "File \u001b[0;32m~/miniconda3/envs/TestSDFC/lib/python3.12/site-packages/scipy/optimize/_differentiable_functions.py:273\u001b[0m, in \u001b[0;36mScalarFunction.grad\u001b[0;34m(self, x)\u001b[0m\n\u001b[1;32m 271\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m np\u001b[38;5;241m.\u001b[39marray_equal(x, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mx):\n\u001b[1;32m 272\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_update_x_impl(x)\n\u001b[0;32m--> 273\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_update_grad\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 274\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mg\n", + "File \u001b[0;32m~/miniconda3/envs/TestSDFC/lib/python3.12/site-packages/scipy/optimize/_differentiable_functions.py:256\u001b[0m, in \u001b[0;36mScalarFunction._update_grad\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 254\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_update_grad\u001b[39m(\u001b[38;5;28mself\u001b[39m):\n\u001b[1;32m 255\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mg_updated:\n\u001b[0;32m--> 256\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_update_grad_impl\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 257\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mg_updated \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mTrue\u001b[39;00m\n", + "File \u001b[0;32m~/miniconda3/envs/TestSDFC/lib/python3.12/site-packages/scipy/optimize/_differentiable_functions.py:167\u001b[0m, in \u001b[0;36mScalarFunction.__init__..update_grad\u001b[0;34m()\u001b[0m\n\u001b[1;32m 166\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mupdate_grad\u001b[39m():\n\u001b[0;32m--> 167\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mg \u001b[38;5;241m=\u001b[39m \u001b[43mgrad_wrapped\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mx\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m~/miniconda3/envs/TestSDFC/lib/python3.12/site-packages/scipy/optimize/_differentiable_functions.py:164\u001b[0m, in \u001b[0;36mScalarFunction.__init__..grad_wrapped\u001b[0;34m(x)\u001b[0m\n\u001b[1;32m 162\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mgrad_wrapped\u001b[39m(x):\n\u001b[1;32m 163\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mngev \u001b[38;5;241m+\u001b[39m\u001b[38;5;241m=\u001b[39m \u001b[38;5;241m1\u001b[39m\n\u001b[0;32m--> 164\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m np\u001b[38;5;241m.\u001b[39matleast_1d(\u001b[43mgrad\u001b[49m\u001b[43m(\u001b[49m\u001b[43mnp\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcopy\u001b[49m\u001b[43m(\u001b[49m\u001b[43mx\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m)\u001b[49m)\n", + "File \u001b[0;32m~/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__GEV.py:333\u001b[0m, in \u001b[0;36mGEV._gradient_nlll\u001b[0;34m(self, coef)\u001b[0m\n\u001b[1;32m 332\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_gradient_nlll\u001b[39m( \u001b[38;5;28mself\u001b[39m , coef ): \u001b[38;5;66;03m##{{{\u001b[39;00m\n\u001b[0;32m--> 333\u001b[0m \t\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcoef_\u001b[49m \u001b[38;5;241m=\u001b[39m coef\n\u001b[1;32m 335\u001b[0m \t\u001b[38;5;66;03m## Parameters\u001b[39;00m\n\u001b[1;32m 336\u001b[0m \tdshape \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_Y\u001b[38;5;241m.\u001b[39mshape\n", + "File \u001b[0;32m~/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:199\u001b[0m, in \u001b[0;36mAbstractLaw.coef_\u001b[0;34m(self, coef_)\u001b[0m\n\u001b[1;32m 197\u001b[0m \u001b[38;5;129m@coef_\u001b[39m\u001b[38;5;241m.\u001b[39msetter\n\u001b[1;32m 198\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mcoef_\u001b[39m( \u001b[38;5;28mself\u001b[39m , coef_ ): \u001b[38;5;66;03m##{{{\u001b[39;00m\n\u001b[0;32m--> 199\u001b[0m \t\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_rhs\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcoef_\u001b[49m \u001b[38;5;241m=\u001b[39m coef_\n", + "File \u001b[0;32m~/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/core/__RHS.py:127\u001b[0m, in \u001b[0;36mRHS.coef_\u001b[0;34m(self, coef_)\u001b[0m\n\u001b[1;32m 124\u001b[0m \u001b[38;5;129m@coef_\u001b[39m\u001b[38;5;241m.\u001b[39msetter\n\u001b[1;32m 125\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mcoef_\u001b[39m( \u001b[38;5;28mself\u001b[39m , coef_ ):\n\u001b[1;32m 126\u001b[0m \t\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_coef_ \u001b[38;5;241m=\u001b[39m np\u001b[38;5;241m.\u001b[39marray( [coef_] )\u001b[38;5;241m.\u001b[39msqueeze()\u001b[38;5;241m.\u001b[39mreshape(\u001b[38;5;241m-\u001b[39m\u001b[38;5;241m1\u001b[39m)\n\u001b[0;32m--> 127\u001b[0m \t\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mlhs_\u001b[38;5;241m.\u001b[39mvalues_ \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43ml_global\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mtransform\u001b[49m\u001b[43m(\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcoef_\u001b[49m\u001b[43m \u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mc_global\u001b[49m\u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 128\u001b[0m \t\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mlhs_\u001b[38;5;241m.\u001b[39mjacobian_ \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39ml_global\u001b[38;5;241m.\u001b[39mjacobian( \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mcoef_ , \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mc_global )\n", + "File \u001b[0;32m~/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/link/__Multivariate.py:152\u001b[0m, in \u001b[0;36mMLTensor.transform\u001b[0;34m(self, coef, X)\u001b[0m\n\u001b[1;32m 150\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m s,l,x \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mzip\u001b[39m(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_s_p,\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_l_p,X):\n\u001b[1;32m 151\u001b[0m \tie \u001b[38;5;241m+\u001b[39m\u001b[38;5;241m=\u001b[39m s\n\u001b[0;32m--> 152\u001b[0m \tlist_p\u001b[38;5;241m.\u001b[39mappend( \u001b[43ml\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mtransform\u001b[49m\u001b[43m(\u001b[49m\u001b[43m \u001b[49m\u001b[43mcoef\u001b[49m\u001b[43m[\u001b[49m\u001b[43mib\u001b[49m\u001b[43m:\u001b[49m\u001b[43mie\u001b[49m\u001b[43m]\u001b[49m\u001b[43m \u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mx\u001b[49m\u001b[43m \u001b[49m\u001b[43m)\u001b[49m )\n\u001b[1;32m 153\u001b[0m \tib \u001b[38;5;241m+\u001b[39m\u001b[38;5;241m=\u001b[39m s\n\u001b[1;32m 154\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m list_p\n", + "File \u001b[0;32m~/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/link/__Multivariate.py:117\u001b[0m, in \u001b[0;36mMLLinear.transform\u001b[0;34m(self, coef, X)\u001b[0m\n\u001b[1;32m 116\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mtransform\u001b[39m( \u001b[38;5;28mself\u001b[39m , coef , X ):\u001b[38;5;66;03m##{{{\u001b[39;00m\n\u001b[0;32m--> 117\u001b[0m \tout \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_l\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mtransform\u001b[49m\u001b[43m(\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_linear_transform\u001b[49m\u001b[43m(\u001b[49m\u001b[43mcoef\u001b[49m\u001b[43m,\u001b[49m\u001b[43mX\u001b[49m\u001b[43m)\u001b[49m\u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 118\u001b[0m \t\u001b[38;5;28;01mreturn\u001b[39;00m out\n", + "File \u001b[0;32m~/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/link/__Univariate.py:59\u001b[0m, in \u001b[0;36mULIdentity.transform\u001b[0;34m(self, x)\u001b[0m\n\u001b[1;32m 56\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m__init__\u001b[39m( \u001b[38;5;28mself\u001b[39m ):\n\u001b[1;32m 57\u001b[0m \tUnivariateLink\u001b[38;5;241m.\u001b[39m\u001b[38;5;21m__init__\u001b[39m(\u001b[38;5;28mself\u001b[39m)\n\u001b[0;32m---> 59\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mtransform\u001b[39m( \u001b[38;5;28mself\u001b[39m , x ):\n\u001b[1;32m 60\u001b[0m \t\u001b[38;5;28;01mreturn\u001b[39;00m x\n\u001b[1;32m 62\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21minverse\u001b[39m( \u001b[38;5;28mself\u001b[39m , x ):\n", + "\u001b[0;31mKeyboardInterrupt\u001b[0m: " + ] + } + ], + "source": [ + "## Prior Functions (Yoann this is so slow)\n", + "##================================\n", + "n_sample = 10000\n", + "t0 = tm.time()\n", + "clim = ns.Climatology( event , time_period , models ,n_sample , ns_law )\n", + "Xebm = ns.EBM().draw_sample( clim.time , n_sample + 1 , fix_first = 0 )\n", + "clim =ns.covariates_FC_GAM( clim , lX , Xebm , dof = 7 , verbose = False )\n", + "clim = ns.nslaw_fit( lY , clim , verbose = verbose ) \n", + "clim = ns.infer_multi_model( clim , verbose = verbose )\n", + "## Add constraint on X\n", + "clim_light_MM = clim.copy()\n", + "clim_light_MM.keep_models( \"Multi_Synthesis\" )\n", + "clim_CX = ns.constrain_covariate( clim_light_MM , Xo , time_reference , verbose = verbose )\n", + "t1 = tm.time()\n", + "total = t1-t0\n", + "clim_CX.to_netcdf( \"clim_CX_test_\"+str(n_sample)+\".nc\")\n", + "print(total)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "64b55ab1", + "metadata": {}, + "outputs": [], + "source": [ + "#Original\n", + "clim_CX=ns.Climatology.from_netcdf( \"clim_CX_test_\"+str(n_sample)+\".nc\" , ns_law )\n", + "t0 = tm.time()\n", + "bayes_kwargs = { \"n_mcmc_drawn_min\" : 5000 , \"n_mcmc_drawn_max\" : 10000 }\n", + "bayes_kwargs[\"transition_type\"]=\"Fixed\"\n", + "bayes_kwargs[\"fixed_cov\"]=np.array([0.1,0.1,0.1,0.1,0.1])\n", + "climCXCB = ns.constrain_law( clim_CX , Yo , verbose = verbose , **bayes_kwargs )\n", + "t1 = tm.time()\n", + "total = t1-t0\n", + "print(total)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d1c738f9", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "TestSDFC", + "language": "python", + "name": "testsdfc" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.0" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/test/.ipynb_checkpoints/Find_Weird_bug-checkpoint.ipynb b/test/.ipynb_checkpoints/Find_Weird_bug-checkpoint.ipynb new file mode 100644 index 0000000..a6bd4d5 --- /dev/null +++ b/test/.ipynb_checkpoints/Find_Weird_bug-checkpoint.ipynb @@ -0,0 +1,38769 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "376b7340", + "metadata": {}, + "outputs": [], + "source": [ + "#Yoann normal " + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "c19c589d", + "metadata": {}, + "outputs": [], + "source": [ + "import sys,os\n", + "import tarfile\n", + "import numpy as np\n", + "import pandas as pd\n", + "import xarray as xr\n", + "import time as tm\n", + "\n", + "import SDFC.link as sdl\n", + "import NSSEA as ns\n", + "import NSSEA.plot as nsp\n", + "import NSSEA.models as nsm" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "ae7ec236", + "metadata": {}, + "outputs": [], + "source": [ + "#Useful modified\n", + "def correct_miss( X , lo = 100 , up = 350 ):##{{{\n", + "#\treturn X\n", + "\tmod = str(X.columns[0])\n", + "\tbad = np.logical_or( X < lo , X > up )\n", + "\tbad = np.logical_or( bad , np.isnan(X) )\n", + "\tbad = np.logical_or( bad , np.logical_not(np.isfinite(X)) )\n", + "\tif np.any(bad):\n", + "\t\tidx,_ = np.where(bad)\n", + "\t\tidx_co = np.copy(idx)\n", + "\t\tfor i in range(idx.size):\n", + "\t\t\tj = 0\n", + "\t\t\twhile idx[i] + j in idx:\n", + "\t\t\t\tj += 1\n", + "\t\t\tidx_co[i] += j\n", + "\t\tX.iloc[idx] = X.iloc[idx_co].values\n", + "\treturn X\n", + "##}}}\n", + "\n", + "def load_models_CMIP6(pathInp,type_data):\n", + " ## List of models X\n", + " pathInpX= os.path.join(pathInp,\"CMIP6/X\",type_data)\n", + " modelsX = [ \"_\".join(f.split(\"/\")[-1][:-3].split(\"_\")[-2:]) for f in os.listdir(pathInpX) ]\n", + " modelsX.sort()\n", + "\n", + " ## List of models Y\n", + " pathInpY= os.path.join(pathInp,\"CMIP6/Y\",type_data)\n", + " modelsY = [ \"_\".join(f.split(\"/\")[-1][:-3].split(\"_\")[-2:]) for f in os.listdir(pathInpY) ]\n", + " modelsY.sort()\n", + " models = list(set(modelsX) & set(modelsY))\n", + " models.sort()\n", + " print(models)\n", + "\n", + "\n", + " ## Load X and Y\n", + " lX = []\n", + " lY = []\n", + " if type_data== \"03_Post_treatment\":\n", + " \t\n", + " \tfor m in models:\n", + "\t\t\n", + " \t## Load X\n", + " \n", + " \tdf = xr.open_dataset( os.path.join( pathInpX , \"full_Europe_tas_YearMean_ssp585_{}.nc\".format(m) ) ,decode_times=True )\n", + " \ttime = df.time[\"time.year\"].values.astype(int)\n", + " \tX = pd.DataFrame( df.tas.values.ravel() , columns = [m] , index = time )\n", + " \t\n", + " \tlX.append( correct_miss(X , lo = -15 , up = 25))\n", + " \n", + " \t## Load Y\n", + " \tdf = xr.open_dataset( os.path.join( pathInpY , \"full_Tricastin_ssp585_{}.nc\".format(m) ) ,decode_times=True )\n", + " \ttime = df.time[\"time.year\"].values.astype(int)\n", + " \tY = pd.DataFrame( df.tasmax.values.ravel() , columns = [m] , \tindex = time )\n", + " \tlY.append( correct_miss(Y, lo = -15 , up = 25 ))\n", + " else:\n", + " \tfor m in models:\n", + "\n", + " \t## Load X\n", + " \n", + " \tdf = xr.open_dataset( os.path.join( pathInpX , \"full_Europe_tas_YearMean_ssp585_{}.nc\".format(m) ) ,decode_times=False )\n", + " \ttime = df.time.values.astype(int)\n", + " \tX = pd.DataFrame( df.tas.values.ravel() , columns = [m] , index = time )\n", + " \n", + " \tlX.append( correct_miss(X) )\n", + " \n", + " \t## Load Y\n", + " \tdf = xr.open_dataset( os.path.join( pathInpY , \"full_Tricastin_ssp585_{}.nc\".format(m) ) ,decode_times=False )\n", + " \ttime = df.time.values.astype(int)\n", + " \tY = pd.DataFrame( df.tasmax.values.ravel() , columns = [m] , \tindex = time )\n", + " \tlY.append( correct_miss(Y) )\n", + " return lX, lY,models\n", + " \n", + "\n", + "def load_obs(pathInp,type_data):\n", + " ## Load Observations\n", + " dXo = xr.open_dataset(os.path.join( pathInp ,\"Observations\",type_data,\"Xo.nc\"))\n", + " Xo = pd.DataFrame( dXo.tas.values.squeeze() , columns = [\"Xo\"] , index = dXo.time[\"time.year\"].values )\n", + "\n", + " Xo #Deja en anomalies\n", + " dYo = xr.open_dataset(os.path.join( pathInp ,\"Observations\",type_data,\"Yo.nc\"))\n", + " Yo = pd.DataFrame( dYo.TX.values.squeeze() , columns = [\"Yo\"] , index = dYo.time[\"time.year\"].values )\n", + " return Xo,Yo #en celsius" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "35ab1a85", + "metadata": {}, + "outputs": [], + "source": [ + "#Parameters\n", + "time_period = np.arange( 1850 , 2101 , 1 , dtype = int )\n", + "time_reference = np.arange( 1986 , 2016 , 1 , dtype = int )\n", + "\n", + "ci = 0.05\n", + "sample_dis=False #If want n sample of each GCM model. For graph only, not used for multisynthesis. Takes a lot of time\n", + "\n", + "#Time period of interest\n", + "T=100\n", + "T1=2000\n", + "T2=2100\n", + "deb=1850\n", + "fin=2101\n", + "\n", + "ns_law = nsm.GEV()\n", + "event = ns.Event( \"HW19\" , 2019 , time_reference , type_ = \"value\" , variable = \"TX3X\" , unit = \"K\" )\n", + "verbose = \"--not-verbose\" not in sys.argv" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "6e6f63dc", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "['ACCESS-CM2_i1p1f1', 'ACCESS-ESM1-5_i1p1f1', 'CMCC-ESM2_i1p1f1', 'CNRM-CM6-1-HR_i1p1f2', 'CNRM-CM6-1_i1p1f2', 'CNRM-ESM2-1_i1p1f2', 'CanESM5_i1p2f1', 'EC-Earth3-CC_i1p1f1', 'EC-Earth3-Veg-LR_i1p1f1', 'EC-Earth3-Veg_i1p1f1', 'EC-Earth3_i1p1f1', 'FGOALS-g3_i1p1f1', 'GFDL-ESM4_i1p1f1', 'HadGEM3-GC31-LL_i1p1f3', 'HadGEM3-GC31-MM_i1p1f3', 'INM-CM4-8_i1p1f1', 'INM-CM5-0_i1p1f1', 'IPSL-CM6A-LR_i1p1f1', 'KACE-1-0-G_i1p1f1', 'MIROC-ES2L_i1p1f2', 'MIROC6_i1p1f1', 'MPI-ESM1-2-LR_i1p1f1', 'MRI-ESM2-0_i1p1f1', 'MRI-ESM2-0_i2p1f1', 'NESM3_i1p1f1', 'NorESM2-MM_i1p1f1', 'TaiESM1_i1p1f1', 'UKESM1-0-LL_i1p1f2']\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/tmp/ipykernel_9141/1647413733.py:5: FutureWarning: Calling float on a single element Series is deprecated and will raise a TypeError in the future. Use float(ser.iloc[0]) instead\n", + " event.value = float(Yo.loc[event.time])\n" + ] + } + ], + "source": [ + "pathInp='/home/barbauxo/Documents/Doctorat/03_Travail/2023_01 Application Tricastin/Data'\n", + "type_data=\"03_Post_treatment\" #\"02_Selected\"\n", + "lX,lY,models=load_models_CMIP6(pathInp,type_data)\n", + "Xo,Yo=load_obs(pathInp,type_data)\n", + "event.value = float(Yo.loc[event.time])\n", + "\n", + "n_sample = 10\n", + "verbose=False" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "3910617e", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[[ 0.37761291 0.36326779 0.35065173 ... 0.01241002 0.00512975\n", + " -0.00403709]\n", + " [ 0.36326779 0.34994467 0.33829297 ... 0.01132488 0.00502235\n", + " -0.00374567]\n", + " [ 0.35065173 0.33829297 0.32759342 ... 0.01032501 0.00487243\n", + " -0.00345347]\n", + " ...\n", + " [ 0.01241002 0.01132488 0.01032501 ... 0.08136714 0.00109125\n", + " 0.00399153]\n", + " [ 0.00512975 0.00502235 0.00487243 ... 0.00109125 0.00987471\n", + " -0.00313046]\n", + " [-0.00403709 -0.00374567 -0.00345347 ... 0.00399153 -0.00313046\n", + " 0.01957737]]\n", + "303.45835757255554\n" + ] + } + ], + "source": [ + "## Prior Functions (Yoann this is so slow)\n", + "##================================\n", + "t0 = tm.time()\n", + "clim_Yoann = ns.Climatology( event , time_period , models ,n_sample , ns_law )\n", + "Xebm = ns.EBM().draw_sample( clim_Yoann.time , n_sample + 1 , fix_first = 0 )\n", + "clim_Yoann =ns.covariates_FC_GAM( clim_Yoann , lX , Xebm , dof = 7 , verbose = False )\n", + "clim_Yoann = ns.nslaw_fit( lY , clim_Yoann , verbose = verbose ) \n", + "clim_Yoann = ns.infer_multi_model( clim_Yoann , verbose = verbose )\n", + "## Add constraint on X\n", + "clim_light_MM_Yoann = clim_Yoann.copy()\n", + "clim_light_MM_Yoann.keep_models( \"Multi_Synthesis\" )\n", + "clim_CX_Yoann = ns.constrain_covariate( clim_light_MM_Yoann , Xo , time_reference , verbose = verbose )\n", + "t1 = tm.time()\n", + "total = t1-t0\n", + "print(total)\n", + "clim_CX_Yoann.to_netcdf( \"clim_CX_Yoann.nc\")" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "5a828248", + "metadata": {}, + "outputs": [], + "source": [ + "clim_CX_Yoann=ns.Climatology.from_netcdf( \"clim_CX_Yoann.nc\" , ns_law ) " + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "fbc39c1b", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:513: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0.548726992174584\n", + "0.6246686418213004\n", + "0.590458055643711\n", + "0.6184481648422409\n", + "0.6195353569611667\n", + "0.6277707409753008\n", + "0.617520243979388\n", + "0.6280191387559808\n", + "0.5293832599118943\n", + "0.6105037513397642\n", + "0.6190890069209721\n" + ] + } + ], + "source": [ + "bayes_kwargs = { \"n_mcmc_drawn_min\" : 5000 , \"n_mcmc_drawn_max\" : 10000 ,\"n_ess\" : 10, \"burn_in\" : 500 }\n", + "\n", + "bayes_kwargs[\"transition_type\"]=\"Adapt\"\n", + "bayes_kwargs[\"method_MCMC\"]=\"bayesian-experimental-mhwg\"\n", + "climCXCB = ns.constrain_law( clim_CX_Yoann , Yo , verbose = verbose , **bayes_kwargs )" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "7d5aa090", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "34.31058597564697\n" + ] + } + ], + "source": [ + "## Prior Functions (Light_version is faster)\n", + "##================================\n", + "light=True\n", + "t0 = tm.time()\n", + "clim_light = ns.Climatology( event , time_period , models ,n_sample , ns_law )\n", + "Xebm = ns.EBM().draw_sample( clim_light.time , n_sample + 1 , fix_first = 0 )\n", + "clim_light =ns.covariates_FC_GAM( clim_light , lX , Xebm , dof = 7 , verbose = False,light=light )\n", + "clim_light = ns.nslaw_fit( lY , clim_light , verbose = verbose,light= light ) \n", + "clim_light = ns.infer_multi_model( clim_light , verbose = verbose )\n", + "## Add constraint on X\n", + "clim_MM_light = clim_light.copy()\n", + "clim_MM_light.keep_models( \"Multi_Synthesis\" )\n", + "clim_CX_light = ns.constrain_covariate( clim_MM_light , Xo , time_reference , verbose = verbose )\n", + "t1 = tm.time()\n", + "total = t1-t0\n", + "print(total)\n", + "clim_CX_light.to_netcdf( \"clim_CX_light.nc\")" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "fd168f52", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0.6025076319232446\n", + "0.5681513513513513\n", + "0.5950492610837439\n", + "0.602870705244123\n", + "0.5938028169014085\n", + "0.6267350157728706\n", + "0.6074484944532488\n", + "0.5887853147856016\n", + "0.6032620783393056\n", + "0.5401065719360568\n", + "0.6212726939299468\n" + ] + } + ], + "source": [ + "bayes_kwargs = { \"n_mcmc_drawn_min\" : 5000 , \"n_mcmc_drawn_max\" : 10000 ,\"n_ess\" : 10, \"burn_in\" : 500 }\n", + "\n", + "bayes_kwargs[\"transition_type\"]=\"Adapt\"\n", + "bayes_kwargs[\"method_MCMC\"]=\"bayesian-experimental-mhwg\"\n", + "climCXCB = ns.constrain_law( clim_CX_light , Yo , verbose = verbose , **bayes_kwargs )" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "2f91f84b", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "448f6343", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "676104fc", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "e313a02a", + "metadata": {}, + "outputs": [], + "source": [ + "#Mine" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "8f819bf6", + "metadata": {}, + "outputs": [], + "source": [ + "from datetime import datetime\n", + "now = datetime.now()\n", + " \n", + "# dd/mm/YY H:M:S\n", + "#dt_string = now.strftime(\"%m%d%H%M\")\n", + "dt_string=\"11281101\"\n", + "np.random.seed(int(dt_string))" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "e06a6d1e", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Number of processors: 8\n" + ] + } + ], + "source": [ + "%run \"/home/barbauxo/Documents/Doctorat/03_Travail/2023_08 Clean Run/Utils/01Charge_Utils.py\"" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "655607c3", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "['ACCESS-CM2_i1p1f1', 'ACCESS-ESM1-5_i1p1f1', 'CMCC-ESM2_i1p1f1', 'CNRM-CM6-1-HR_i1p1f2', 'CNRM-CM6-1_i1p1f2', 'CNRM-ESM2-1_i1p1f2', 'CanESM5_i1p2f1', 'EC-Earth3-CC_i1p1f1', 'EC-Earth3-Veg-LR_i1p1f1', 'EC-Earth3-Veg_i1p1f1', 'EC-Earth3_i1p1f1', 'FGOALS-g3_i1p1f1', 'GFDL-ESM4_i1p1f1', 'HadGEM3-GC31-LL_i1p1f3', 'HadGEM3-GC31-MM_i1p1f3', 'INM-CM4-8_i1p1f1', 'INM-CM5-0_i1p1f1', 'IPSL-CM6A-LR_i1p1f1', 'KACE-1-0-G_i1p1f1', 'MIROC-ES2L_i1p1f2', 'MIROC6_i1p1f1', 'MPI-ESM1-2-LR_i1p1f1', 'MRI-ESM2-0_i1p1f1', 'MRI-ESM2-0_i2p1f1', 'NESM3_i1p1f1', 'NorESM2-MM_i1p1f1', 'TaiESM1_i1p1f1', 'UKESM1-0-LL_i1p1f2']\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/tmp/ipykernel_55775/2877588033.py:35: FutureWarning: Calling float on a single element Series is deprecated and will raise a TypeError in the future. Use float(ser.iloc[0]) instead\n", + " event.value = float(Yo.loc[event.time])\n" + ] + } + ], + "source": [ + "#Bayes arg\n", + "\n", + "n_sample = 100 #N tirage X\n", + "burn_in=1000\n", + "n_val_MCMC=10 #Number kept from each MCMC (Total tirages Kept =1000)\n", + "time_period = np.arange( 1850 , 2101 , 1 , dtype =int) #np.int )\n", + "time_reference = np.arange( 1986 , 2016 , 1 , dtype =int)# np.int )\n", + "\n", + "ci = 0.05\n", + "sample_dis=False #If want n sample of each GCM model. For graph only, not used for multisynthesis. Takes a lot of time\n", + "\n", + "#Time period of interest\n", + "T=100\n", + "T1=2000\n", + "T2=2100\n", + "deb=1850\n", + "fin=2101\n", + "\n", + "\n", + "## Some global parameters\n", + "##=======================\n", + "\n", + "#bayes_kwargs = { \"n_mcmc_drawn_min\" : 5000 , \"n_mcmc_drawn_max\" : 10000 }\n", + " \n", + "#test\n", + "#ns_law =nsm.GEV(shape_cst = False )\n", + "ns_law = nsm.GEV()\n", + "event = ns.Event( \"HW19\" , 2019 , time_reference , type_ = \"value\" , variable = \"TX3X\" , unit = \"K\" )\n", + "verbose = \"--not-verbose\" not in sys.argv\n", + "\n", + "#Load Data (Post-treatment and anomaly)\n", + "\n", + "lX,lY,models=load_models_CMIP6(pathInp,type_data)\n", + "Xo,Yo=load_obs(pathInp,type_data)\n", + "event.value = float(Yo.loc[event.time])\n", + "verbose= False" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "10a04cf3", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[[[-0.43705247 -0.43849886 -0.91380719 ... -0.09016614 0.17849804\n", + " -0.51347476]\n", + " [ 0. 0. 0. ... 0. 0.\n", + " 0. ]\n", + " [ 0. 0. 0. ... 0. 0.\n", + " 0. ]\n", + " ...\n", + " [ 0. 0. 0. ... 0. 0.\n", + " 0. ]\n", + " [ 0. 0. 0. ... 0. 0.\n", + " 0. ]\n", + " [ 0. 0. 0. ... 0. 0.\n", + " 0. ]]\n", + "\n", + " [[-0.44305295 -0.43684794 -0.92489502 ... -0.10465836 0.18247936\n", + " -0.51434518]\n", + " [ 0. 0. 0. ... 0. 0.\n", + " 0. ]\n", + " [ 0. 0. 0. ... 0. 0.\n", + " 0. ]\n", + " ...\n", + " [ 0. 0. 0. ... 0. 0.\n", + " 0. ]\n", + " [ 0. 0. 0. ... 0. 0.\n", + " 0. ]\n", + " [ 0. 0. 0. ... 0. 0.\n", + " 0. ]]\n", + "\n", + " [[-0.44436991 -0.43061105 -0.93371135 ... -0.11331356 0.19418479\n", + " -0.5112115 ]\n", + " [ 0. 0. 0. ... 0. 0.\n", + " 0. ]\n", + " [ 0. 0. 0. ... 0. 0.\n", + " 0. ]\n", + " ...\n", + " [ 0. 0. 0. ... 0. 0.\n", + " 0. ]\n", + " [ 0. 0. 0. ... 0. 0.\n", + " 0. ]\n", + " [ 0. 0. 0. ... 0. 0.\n", + " 0. ]]\n", + "\n", + " ...\n", + "\n", + " [[ 0.52004331 0.88666272 0.72233266 ... 0.52672477 1.02569169\n", + " 0.64440657]\n", + " [ 0. 0. 0. ... 0. 0.\n", + " 0. ]\n", + " [ 0. 0. 0. ... 0. 0.\n", + " 0. ]\n", + " ...\n", + " [ 0. 0. 0. ... 0. 0.\n", + " 0. ]\n", + " [ 0. 0. 0. ... 0. 0.\n", + " 0. ]\n", + " [ 0. 0. 0. ... 0. 0.\n", + " 0. ]]\n", + "\n", + " [[-0.02800607 -0.01001097 0.01694105 ... -0.04218924 -0.13644043\n", + " -0.02344923]\n", + " [ 0. 0. 0. ... 0. 0.\n", + " 0. ]\n", + " [ 0. 0. 0. ... 0. 0.\n", + " 0. ]\n", + " ...\n", + " [ 0. 0. 0. ... 0. 0.\n", + " 0. ]\n", + " [ 0. 0. 0. ... 0. 0.\n", + " 0. ]\n", + " [ 0. 0. 0. ... 0. 0.\n", + " 0. ]]\n", + "\n", + " [[-0.3435638 -0.24431689 -0.26334609 ... -0.19110174 -0.362662\n", + " -0.16209256]\n", + " [ 0. 0. 0. ... 0. 0.\n", + " 0. ]\n", + " [ 0. 0. 0. ... 0. 0.\n", + " 0. ]\n", + " ...\n", + " [ 0. 0. 0. ... 0. 0.\n", + " 0. ]\n", + " [ 0. 0. 0. ... 0. 0.\n", + " 0. ]\n", + " [ 0. 0. 0. ... 0. 0.\n", + " 0. ]]]\n", + "[[ 2.40164093e-01 2.39271562e-01 2.38340629e-01 ... -1.47742257e-03\n", + " -5.91728777e-03 1.19658140e-04]\n", + " [ 2.39271562e-01 2.38539359e-01 2.37769388e-01 ... -1.31582613e-03\n", + " -6.13375370e-03 2.69452069e-05]\n", + " [ 2.38340629e-01 2.37769388e-01 2.37163617e-01 ... -1.12742787e-03\n", + " -6.36194249e-03 -8.32322503e-05]\n", + " ...\n", + " [-1.47742257e-03 -1.31582613e-03 -1.12742787e-03 ... 4.22153191e-02\n", + " -7.00547297e-03 -4.80606726e-03]\n", + " [-5.91728777e-03 -6.13375370e-03 -6.36194249e-03 ... -7.00547297e-03\n", + " 3.51644727e-03 2.27372301e-03]\n", + " [ 1.19658140e-04 2.69452069e-05 -8.32322503e-05 ... -4.80606726e-03\n", + " 2.27372301e-03 4.68997585e-03]]\n", + "[-6.95346613e-01 -6.96876719e-01 -6.93177240e-01 -6.92194302e-01\n", + " -6.91781595e-01 -6.99285058e-01 -8.03108451e-01 -9.37888166e-01\n", + " -9.59613146e-01 -9.29447761e-01 -8.88418721e-01 -8.52422712e-01\n", + " -8.56933543e-01 -8.51701878e-01 -8.38015745e-01 -8.20796393e-01\n", + " -8.06178345e-01 -7.94832669e-01 -7.87126075e-01 -7.81102902e-01\n", + " -7.79560943e-01 -7.73527896e-01 -7.70897496e-01 -7.74415850e-01\n", + " -7.76634596e-01 -7.77934306e-01 -7.93914144e-01 -8.04502325e-01\n", + " -8.08798600e-01 -8.10369395e-01 -8.09021956e-01 -8.05121208e-01\n", + " -8.03887804e-01 -9.24129895e-01 -1.26091365e+00 -1.31266156e+00\n", + " -1.28509118e+00 -1.26986916e+00 -1.22080515e+00 -1.20289467e+00\n", + " -1.21592760e+00 -1.20083902e+00 -1.16656499e+00 -1.10384243e+00\n", + " -1.03940247e+00 -9.84591569e-01 -9.89894575e-01 -9.93851444e-01\n", + " -9.84714128e-01 -9.59907117e-01 -9.34144151e-01 -9.13270859e-01\n", + " -9.46932613e-01 -1.10637479e+00 -1.11923758e+00 -1.08264514e+00\n", + " -1.03471482e+00 -1.00628071e+00 -9.84930208e-01 -9.55083824e-01\n", + " -9.29925367e-01 -9.10535582e-01 -9.40926954e-01 -9.76535263e-01\n", + " -9.66218914e-01 -9.37769068e-01 -9.07559507e-01 -8.79813318e-01\n", + " -8.54655039e-01 -8.40168338e-01 -8.50436035e-01 -8.58148320e-01\n", + " -8.53447127e-01 -8.45586489e-01 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3.22698771,\n", + " 3.26811199, 3.30940301, 3.3508583 , 3.39247537, 3.43425223,\n", + " 3.47618645])" + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "t0 = tm.time()\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "## Define clim variable from input\n", + "##================================\n", + "clim0 = ns.Climatology( event , time_period , models ,n_sample , ns_law )\n", + "Xebm = ns.EBM().draw_sample( clim0.time , n_sample + 1 , fix_first = 0 )\n", + "clim1 =covariates_FC_GAM_pygam_light( clim0 , lX , Xebm , dof = 7 , verbose = False )\n", + "clim2 = nslaw_fit_light( lY , clim1 , verbose = verbose ) \n", + "clim3 = infer_multi_model_light( clim2 , verbose = verbose )\n", + "## Add constraint on X\n", + "clim_light_MM = clim3.copy()\n", + "clim_light_MM.keep_models( \"Multi_Synthesis\" )\n", + "clim_CX = ns.constrain_covariate( clim_light_MM , Xo , time_reference , verbose = verbose )\n", + "clim_CX.to_netcdf( (\"clim_CX_\"+dt_string+\".nc\") )\n", + "t1 = tm.time()\n", + "total = t1-t0\n", + "print(total)\n", + "clim_CX.X.loc[:,'S000',\"F\",\"Multi_Synthesis\"].values\n" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "56dcea3d", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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+       "  * time     (time) int64 1850 1851 1852 1853 1854 ... 2096 2097 2098 2099 2100\n",
+       "  * model    (model) <U15 'Multi_Synthesis'\n",
+       "  * sample   (sample) <U4 'BE' 'S000' 'S001' 'S002' ... 'S097' 'S098' 'S099'\n",
+       "  * forcing  (forcing) <U1 'F' 'C'
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value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0.5909453757555023\n", + "1.8191755647492807\n", + "0.5909453757555023\n", + "[-0.60813979 1.37096599 0.76927634 -0.02167541 -0.39030046]\n", + "2.732641188318215\n", + "\n", + "0.5870438158624515\n", + "2.7385047934592808\n", + "0.5870438158624515\n", + "[-0.00814694 1.36242318 0.49005609 0.05201397 -0.25548145]\n", + "4.942077515217667\n", + "\n", + "0.6055950169380395\n", + "5.459090040283595\n", + "0.6055950169380395\n", + "[-0.05116077 1.15031935 0.34120121 0.11643926 -0.22381582]\n", + "4.2511487166883715\n", + "\n", + "0.5774376280583343\n", + "4.665735471037953\n", + "0.5774376280583343\n", + "[-0.31692413 1.57655617 0.59869312 0.06240577 -0.26206806]\n", + "3.5456237273700126\n", + "\n", + "0.6098400441257584\n", + "5.026035578854634\n", + "0.6098400441257584\n", + "[-0.43736544 1.36525051 0.28264933 0.11473456 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"id": "63881a2a", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " Yo\n", + "1985 -0.576667\n", + "1986 -0.076667\n", + "1987 -1.176667\n", + "1988 -1.976667\n", + "1989 -1.876667\n", + "1990 1.523333\n", + "1991 -1.376667\n", + "1992 -0.676667\n", + "1993 -0.276667\n", + "1994 1.123333\n", + "1995 -0.176667\n", + "1996 -3.176667\n", + "1997 -1.476667\n", + "1998 0.223333\n", + "1999 -2.376667\n", + "2000 -0.376667\n", + "2001 -1.676667\n", + "2002 -1.076667\n", + "2003 4.623333\n", + "2004 0.823333\n", + "2005 0.723333\n", + "2006 1.923333\n", + "2007 0.023333\n", + "2008 -1.176667\n", + "2009 1.923333\n", + "2010 0.323333\n", + "2011 2.323333\n", + "2012 2.523333\n", + "2013 0.023333\n", + "2014 -0.676667\n", + "2015 1.523333\n", + "2016 -1.176667\n", + "2017 1.823333\n", + "2018 1.923333\n", + "2019 4.223333\n", + "2020 3.523333\n", + "2021 1.623333\n", + "[-0.61895613 -0.57398417 -0.52547087 -0.4717205 -0.41577954 -0.36934543\n", + " -0.42533503 -0.59835366 -0.58171657 -0.50582748 -0.42108216 -0.34456492\n", + " -0.2735798 -0.20379488 -0.1371408 -0.07620368 -0.0223931 0.02670841\n", + " 0.06535206 0.10335034 0.13739232 0.17955493 0.22099703 0.26203847\n", + " 0.30292159 0.34383038 0.38490478 0.42625144 0.46795184 0.51006832\n", + " 0.55264867 0.5957296 0.63933932 0.6834994 0.72822621 0.77353225\n", + " 0.819427 ]\n", + "-37.31133889024956\n", + "\n", + " Yo\n", + "1985 -0.576667\n", + "1986 -0.076667\n", + "1987 -1.176667\n", + "1988 -1.976667\n", + "1989 -1.876667\n", + "1990 1.523333\n", + "1991 -1.376667\n", + "1992 -0.676667\n", + "1993 -0.276667\n", + "1994 1.123333\n", + "1995 -0.176667\n", + "1996 -3.176667\n", + "1997 -1.476667\n", + "1998 0.223333\n", + "1999 -2.376667\n", + "2000 -0.376667\n", + "2001 -1.676667\n", + "2002 -1.076667\n", + "2003 4.623333\n", + "2004 0.823333\n", + "2005 0.723333\n", + "2006 1.923333\n", + "2007 0.023333\n", + "2008 -1.176667\n", + "2009 1.923333\n", + "2010 0.323333\n", + "2011 2.323333\n", + "2012 2.523333\n", + "2013 0.023333\n", + "2014 -0.676667\n", + "2015 1.523333\n", + "2016 -1.176667\n", + "2017 1.823333\n", + "2018 1.923333\n", + "2019 4.223333\n", + "2020 3.523333\n", + "2021 1.623333\n", + "[-2.24563885e+21 1.10124851e+20 -1.19939714e+20 6.80485022e+19\n", + " -1.13109337e+20 1.79216466e+21 -7.96933355e+19 -2.35684596e+21\n", + " -1.46436258e+21 -1.12211771e+21 -1.07900686e+21 4.14947653e+20\n", + " -8.18519585e+19 -2.74396329e+20 -2.82078268e+20 2.22786477e+20\n", + " 9.52984457e+20 2.16076204e+20 4.19412680e+20 1.13680831e+21\n", + " 8.83468864e+20 1.60668744e+21 2.06850531e+20 1.30308658e+21\n", + " 1.27915617e+21 2.97331330e+20 2.03646799e+20 3.63638575e+21\n", + " -1.41044297e+20 -5.37875925e+20 -7.65254025e+20 1.89298588e+21\n", + " 2.05133393e+21 8.41420007e+20 -1.44845360e+20 -2.72515020e+21\n", + " 1.19518876e+21]\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/link/__Univariate.py:90: RuntimeWarning: invalid value encountered in log\n", + " return np.log(x - self.b) / self.s\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/link/__Univariate.py:87: RuntimeWarning: overflow encountered in exp\n", + " return np.exp( self.s * x) + self.b\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/link/__Univariate.py:93: RuntimeWarning: overflow encountered in exp\n", + " return self.s * np.exp(self.s * x)\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:221: RuntimeWarning: overflow encountered in multiply\n", + " if n_it % 100 == 0: cov_ *= 2\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/NSSEA/NSSEA/models/__AbstractModel.py:114: SyntaxWarning: invalid escape sequence '\\m'\n", + " self.name_tex = \"\\mathrm{\" + self.name + \"}\"\n" + ] + }, + { + "ename": "LinAlgError", + "evalue": "SVD did not converge", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mLinAlgError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[12], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m clim_CXCB_MHWG\u001b[38;5;241m=\u001b[39m\u001b[43mconstrain_MCMC_MHWG_law_all\u001b[49m\u001b[43m(\u001b[49m\u001b[43m \u001b[49m\u001b[43mclim_CX\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mYo\u001b[49m\u001b[43m,\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43m \u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43mTransitionAdapt\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mTrue\u001b[39;49;00m\u001b[43m,\u001b[49m\u001b[43mn_sortie\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mn_val_MCMC\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m~/Documents/Doctorat/03_Travail/2023_08 Clean Run/Utils/NSSEA_Deroule.py:437\u001b[0m, in \u001b[0;36mconstrain_MCMC_MHWG_law_all\u001b[0;34m(clim, Yo, pathOut, model_name, tran_scale_G, TransitionAdapt, initTrans, epsilon, n_sortie, burn_in, verbose, **kwargs)\u001b[0m\n\u001b[1;32m 435\u001b[0m \u001b[38;5;28mprint\u001b[39m(Yo)\n\u001b[1;32m 436\u001b[0m \u001b[38;5;28mprint\u001b[39m(X)\n\u001b[0;32m--> 437\u001b[0m \u001b[43mns_law\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfit\u001b[49m\u001b[43m(\u001b[49m\u001b[43mYo\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mvalues\u001b[49m\u001b[43m,\u001b[49m\u001b[43mX\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 439\u001b[0m MLE_theta\u001b[38;5;241m=\u001b[39mns_law\u001b[38;5;241m.\u001b[39mget_params()\n\u001b[1;32m 440\u001b[0m sdlaw\u001b[38;5;241m=\u001b[39mcreate_likelihood(X,Yo\u001b[38;5;241m.\u001b[39mvalues)\n", + "File \u001b[0;32m~/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/NSSEA/NSSEA/models/__AbstractModel.py:182\u001b[0m, in \u001b[0;36mAbstractModel.fit\u001b[0;34m(self, Y, X)\u001b[0m\n\u001b[1;32m 180\u001b[0m sdkwargs \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_get_sdkwargs(X)\n\u001b[1;32m 181\u001b[0m sdlaw \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39msdlaw( method \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mMLE\u001b[39m\u001b[38;5;124m\"\u001b[39m )\n\u001b[0;32m--> 182\u001b[0m \u001b[43msdlaw\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfit\u001b[49m\u001b[43m(\u001b[49m\u001b[43m \u001b[49m\u001b[43mY\u001b[49m\u001b[43m \u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43msdkwargs\u001b[49m\u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 183\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mset_params(sdlaw\u001b[38;5;241m.\u001b[39mcoef_)\n", + "File \u001b[0;32m~/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:371\u001b[0m, in \u001b[0;36mAbstractLaw.fit\u001b[0;34m(self, Y, **kwargs)\u001b[0m\n\u001b[1;32m 369\u001b[0m \t\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_special_fit()\n\u001b[1;32m 370\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_method \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mmle\u001b[39m\u001b[38;5;124m\"\u001b[39m :\n\u001b[0;32m--> 371\u001b[0m \t\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_fit_MLE\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 372\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_method \u001b[38;5;241m==\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mbayesian-experimental-mhwg\u001b[39m\u001b[38;5;124m\"\u001b[39m:\n\u001b[1;32m 373\u001b[0m \t\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_fit_Bayesian_MHWG(\u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n", + "File \u001b[0;32m~/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:248\u001b[0m, in \u001b[0;36mAbstractLaw._fit_MLE\u001b[0;34m(self, **kwargs)\u001b[0m\n\u001b[1;32m 246\u001b[0m \tis_success \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39minfo_\u001b[38;5;241m.\u001b[39mmle_optim_result\u001b[38;5;241m.\u001b[39msuccess\n\u001b[1;32m 247\u001b[0m \t\u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m is_success:\n\u001b[0;32m--> 248\u001b[0m \t\t\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_random_valid_point\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 249\u001b[0m \tn_test \u001b[38;5;241m+\u001b[39m\u001b[38;5;241m=\u001b[39m \u001b[38;5;241m1\u001b[39m\n\u001b[1;32m 251\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m is_success:\n", + "File \u001b[0;32m~/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:222\u001b[0m, in \u001b[0;36mAbstractLaw._random_valid_point\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 220\u001b[0m \u001b[38;5;28;01mwhile\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m (np\u001b[38;5;241m.\u001b[39misfinite(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_negloglikelihood(p_coef)) \u001b[38;5;129;01mand\u001b[39;00m np\u001b[38;5;241m.\u001b[39mall(np\u001b[38;5;241m.\u001b[39misfinite(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_gradient_nlll(p_coef))) ):\n\u001b[1;32m 221\u001b[0m \t\u001b[38;5;28;01mif\u001b[39;00m n_it \u001b[38;5;241m%\u001b[39m \u001b[38;5;241m100\u001b[39m \u001b[38;5;241m==\u001b[39m \u001b[38;5;241m0\u001b[39m: cov_ \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m=\u001b[39m \u001b[38;5;241m2\u001b[39m\n\u001b[0;32m--> 222\u001b[0m \tp_coef \u001b[38;5;241m=\u001b[39m \u001b[43mnp\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mrandom\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mmultivariate_normal\u001b[49m\u001b[43m(\u001b[49m\u001b[43m \u001b[49m\u001b[43mcoef_\u001b[49m\u001b[43m \u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcov_\u001b[49m\u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 223\u001b[0m \tn_it \u001b[38;5;241m+\u001b[39m\u001b[38;5;241m=\u001b[39m \u001b[38;5;241m1\u001b[39m\n\u001b[1;32m 224\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mcoef_ \u001b[38;5;241m=\u001b[39m p_coef\n", + "File \u001b[0;32mnumpy/random/mtrand.pyx:4235\u001b[0m, in \u001b[0;36mnumpy.random.mtrand.RandomState.multivariate_normal\u001b[0;34m()\u001b[0m\n", + "File \u001b[0;32m~/miniconda3/envs/TestSDFC/lib/python3.12/site-packages/numpy/linalg/linalg.py:1681\u001b[0m, in \u001b[0;36msvd\u001b[0;34m(a, full_matrices, compute_uv, hermitian)\u001b[0m\n\u001b[1;32m 1678\u001b[0m gufunc \u001b[38;5;241m=\u001b[39m _umath_linalg\u001b[38;5;241m.\u001b[39msvd_n_s\n\u001b[1;32m 1680\u001b[0m signature \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mD->DdD\u001b[39m\u001b[38;5;124m'\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m isComplexType(t) \u001b[38;5;28;01melse\u001b[39;00m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124md->ddd\u001b[39m\u001b[38;5;124m'\u001b[39m\n\u001b[0;32m-> 1681\u001b[0m u, s, vh \u001b[38;5;241m=\u001b[39m \u001b[43mgufunc\u001b[49m\u001b[43m(\u001b[49m\u001b[43ma\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43msignature\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43msignature\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mextobj\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mextobj\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 1682\u001b[0m u \u001b[38;5;241m=\u001b[39m u\u001b[38;5;241m.\u001b[39mastype(result_t, copy\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mFalse\u001b[39;00m)\n\u001b[1;32m 1683\u001b[0m s \u001b[38;5;241m=\u001b[39m s\u001b[38;5;241m.\u001b[39mastype(_realType(result_t), copy\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mFalse\u001b[39;00m)\n", + "File \u001b[0;32m~/miniconda3/envs/TestSDFC/lib/python3.12/site-packages/numpy/linalg/linalg.py:121\u001b[0m, in \u001b[0;36m_raise_linalgerror_svd_nonconvergence\u001b[0;34m(err, flag)\u001b[0m\n\u001b[1;32m 120\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_raise_linalgerror_svd_nonconvergence\u001b[39m(err, flag):\n\u001b[0;32m--> 121\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m LinAlgError(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mSVD did not converge\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n", + "\u001b[0;31mLinAlgError\u001b[0m: SVD did not converge" + ] + }, + { + "data": { + "image/png": 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", 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rows x 1 columns]]" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "lX" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "44a9e233", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([ 1.60667173e+21, -4.55214586e+21, 4.04192454e+21, -5.29680375e+20,\n", + " -1.35133134e+22, 8.09773821e+21, -3.48788228e+21, 3.87102671e+21,\n", + " 5.08453165e+21, -1.73871859e+22, 2.01720882e+21, -2.99109822e+21,\n", + " -3.04467735e+21, -4.92932545e+20, -4.75493043e+21, -2.05071186e+22,\n", + " 1.19205307e+22, -6.79199217e+20, 1.02812794e+22, 2.05465623e+21,\n", + " -6.24779968e+21, 1.46329384e+22, -1.56876210e+22, 1.94525038e+22,\n", + " 4.90798420e+21, 3.30774972e+21, 2.10609305e+21, 7.14481520e+21,\n", + " -1.16132763e+21, -8.13864907e+21, -7.49003667e+21, -3.46080833e+21,\n", + " 1.52968702e+21, -2.95002294e+20, 1.58733469e+22, -3.53868115e+21,\n", + " 3.35796343e+21, -1.47679972e+22, 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+       "  * time     (time) int64 1850 1851 1852 1853 1854 ... 2096 2097 2098 2099 2100\n",
+       "  * model    (model) <U23 'ACCESS-CM2_i1p1f1' ... 'UKESM1-0-LL_i1p1f2'\n",
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* time (time) int64 1850 1851 1852 1853 1854 ... 2096 2097 2098 2099 2100\n", + " * model (model) )" + ] + }, + "execution_count": 29, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "mpl.pyplot.hist(np.random.default_rng().normal(size = mmodel.mean.size))\n" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "0140fc51", + "metadata": {}, + "outputs": [ + { + "ename": "KeyError", + "evalue": "\"not all values found in index 'model'. Try setting the `method` keyword argument (example: method='nearest').\"", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mKeyError\u001b[0m Traceback (most recent call last)", + "File \u001b[0;32m~/miniconda3/envs/TestSDFC/lib/python3.12/site-packages/pandas/core/indexes/base.py:3790\u001b[0m, in \u001b[0;36mIndex.get_loc\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m 3789\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m-> 3790\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_engine\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget_loc\u001b[49m\u001b[43m(\u001b[49m\u001b[43mcasted_key\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 3791\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mKeyError\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m err:\n", + "File \u001b[0;32mindex.pyx:152\u001b[0m, in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc\u001b[0;34m()\u001b[0m\n", + "File \u001b[0;32mindex.pyx:181\u001b[0m, in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc\u001b[0;34m()\u001b[0m\n", + "File \u001b[0;32mpandas/_libs/hashtable_class_helper.pxi:7080\u001b[0m, in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable.get_item\u001b[0;34m()\u001b[0m\n", + "File \u001b[0;32mpandas/_libs/hashtable_class_helper.pxi:7088\u001b[0m, in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable.get_item\u001b[0;34m()\u001b[0m\n", + "\u001b[0;31mKeyError\u001b[0m: 'Multi_Synthesis'", + "\nThe above exception was the direct cause of the following exception:\n", + "\u001b[0;31mKeyError\u001b[0m Traceback (most recent call last)", + "File \u001b[0;32m~/miniconda3/envs/TestSDFC/lib/python3.12/site-packages/xarray/core/indexes.py:772\u001b[0m, in \u001b[0;36mPandasIndex.sel\u001b[0;34m(self, labels, method, tolerance)\u001b[0m\n\u001b[1;32m 771\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 772\u001b[0m indexer \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mindex\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget_loc\u001b[49m\u001b[43m(\u001b[49m\u001b[43mlabel_value\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 773\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mKeyError\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m e:\n", + "File \u001b[0;32m~/miniconda3/envs/TestSDFC/lib/python3.12/site-packages/pandas/core/indexes/base.py:3797\u001b[0m, in \u001b[0;36mIndex.get_loc\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m 3796\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m InvalidIndexError(key)\n\u001b[0;32m-> 3797\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mKeyError\u001b[39;00m(key) \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01merr\u001b[39;00m\n\u001b[1;32m 3798\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mTypeError\u001b[39;00m:\n\u001b[1;32m 3799\u001b[0m \u001b[38;5;66;03m# If we have a listlike key, _check_indexing_error will raise\u001b[39;00m\n\u001b[1;32m 3800\u001b[0m \u001b[38;5;66;03m# InvalidIndexError. Otherwise we fall through and re-raise\u001b[39;00m\n\u001b[1;32m 3801\u001b[0m \u001b[38;5;66;03m# the TypeError.\u001b[39;00m\n", + "\u001b[0;31mKeyError\u001b[0m: 'Multi_Synthesis'", + "\nThe above exception was the direct cause of the following exception:\n", + "\u001b[0;31mKeyError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[14], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43mclim1\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mX\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mloc\u001b[49m\u001b[43m[\u001b[49m\u001b[43m:\u001b[49m\u001b[43m,\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mS002\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mF\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mMulti_Synthesis\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m]\u001b[49m\u001b[38;5;241m.\u001b[39mvalues\n", + "File \u001b[0;32m~/miniconda3/envs/TestSDFC/lib/python3.12/site-packages/xarray/core/dataarray.py:226\u001b[0m, in \u001b[0;36m_LocIndexer.__getitem__\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m 224\u001b[0m labels \u001b[38;5;241m=\u001b[39m indexing\u001b[38;5;241m.\u001b[39mexpanded_indexer(key, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mdata_array\u001b[38;5;241m.\u001b[39mndim)\n\u001b[1;32m 225\u001b[0m key \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mdict\u001b[39m(\u001b[38;5;28mzip\u001b[39m(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mdata_array\u001b[38;5;241m.\u001b[39mdims, labels))\n\u001b[0;32m--> 226\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdata_array\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msel\u001b[49m\u001b[43m(\u001b[49m\u001b[43mkey\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m~/miniconda3/envs/TestSDFC/lib/python3.12/site-packages/xarray/core/dataarray.py:1617\u001b[0m, in \u001b[0;36mDataArray.sel\u001b[0;34m(self, indexers, method, tolerance, drop, **indexers_kwargs)\u001b[0m\n\u001b[1;32m 1501\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21msel\u001b[39m(\n\u001b[1;32m 1502\u001b[0m \u001b[38;5;28mself\u001b[39m,\n\u001b[1;32m 1503\u001b[0m indexers: Mapping[Any, Any] \u001b[38;5;241m|\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m,\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 1507\u001b[0m \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mindexers_kwargs: Any,\n\u001b[1;32m 1508\u001b[0m ) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m Self:\n\u001b[1;32m 1509\u001b[0m \u001b[38;5;250m \u001b[39m\u001b[38;5;124;03m\"\"\"Return a new DataArray whose data is given by selecting index\u001b[39;00m\n\u001b[1;32m 1510\u001b[0m \u001b[38;5;124;03m labels along the specified dimension(s).\u001b[39;00m\n\u001b[1;32m 1511\u001b[0m \n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 1615\u001b[0m \u001b[38;5;124;03m Dimensions without coordinates: points\u001b[39;00m\n\u001b[1;32m 1616\u001b[0m \u001b[38;5;124;03m \"\"\"\u001b[39;00m\n\u001b[0;32m-> 1617\u001b[0m ds \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_to_temp_dataset\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msel\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 1618\u001b[0m \u001b[43m \u001b[49m\u001b[43mindexers\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mindexers\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1619\u001b[0m \u001b[43m \u001b[49m\u001b[43mdrop\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdrop\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1620\u001b[0m \u001b[43m \u001b[49m\u001b[43mmethod\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mmethod\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1621\u001b[0m \u001b[43m \u001b[49m\u001b[43mtolerance\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mtolerance\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1622\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mindexers_kwargs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1623\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 1624\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_from_temp_dataset(ds)\n", + "File \u001b[0;32m~/miniconda3/envs/TestSDFC/lib/python3.12/site-packages/xarray/core/dataset.py:3074\u001b[0m, in \u001b[0;36mDataset.sel\u001b[0;34m(self, indexers, method, tolerance, drop, **indexers_kwargs)\u001b[0m\n\u001b[1;32m 3006\u001b[0m \u001b[38;5;250m\u001b[39m\u001b[38;5;124;03m\"\"\"Returns a new dataset with each array indexed by tick labels\u001b[39;00m\n\u001b[1;32m 3007\u001b[0m \u001b[38;5;124;03malong the specified dimension(s).\u001b[39;00m\n\u001b[1;32m 3008\u001b[0m \n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 3071\u001b[0m \n\u001b[1;32m 3072\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m 3073\u001b[0m indexers \u001b[38;5;241m=\u001b[39m either_dict_or_kwargs(indexers, indexers_kwargs, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124msel\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m-> 3074\u001b[0m query_results \u001b[38;5;241m=\u001b[39m \u001b[43mmap_index_queries\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 3075\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mindexers\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mindexers\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmethod\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mmethod\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mtolerance\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mtolerance\u001b[49m\n\u001b[1;32m 3076\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 3078\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m drop:\n\u001b[1;32m 3079\u001b[0m no_scalar_variables \u001b[38;5;241m=\u001b[39m {}\n", + "File \u001b[0;32m~/miniconda3/envs/TestSDFC/lib/python3.12/site-packages/xarray/core/indexing.py:193\u001b[0m, in \u001b[0;36mmap_index_queries\u001b[0;34m(obj, indexers, method, tolerance, **indexers_kwargs)\u001b[0m\n\u001b[1;32m 191\u001b[0m results\u001b[38;5;241m.\u001b[39mappend(IndexSelResult(labels))\n\u001b[1;32m 192\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m--> 193\u001b[0m results\u001b[38;5;241m.\u001b[39mappend(\u001b[43mindex\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msel\u001b[49m\u001b[43m(\u001b[49m\u001b[43mlabels\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43moptions\u001b[49m\u001b[43m)\u001b[49m)\n\u001b[1;32m 195\u001b[0m merged \u001b[38;5;241m=\u001b[39m merge_sel_results(results)\n\u001b[1;32m 197\u001b[0m \u001b[38;5;66;03m# drop dimension coordinates found in dimension indexers\u001b[39;00m\n\u001b[1;32m 198\u001b[0m \u001b[38;5;66;03m# (also drop multi-index if any)\u001b[39;00m\n\u001b[1;32m 199\u001b[0m \u001b[38;5;66;03m# (.sel() already ensures alignment)\u001b[39;00m\n", + "File \u001b[0;32m~/miniconda3/envs/TestSDFC/lib/python3.12/site-packages/xarray/core/indexes.py:774\u001b[0m, in \u001b[0;36mPandasIndex.sel\u001b[0;34m(self, labels, method, tolerance)\u001b[0m\n\u001b[1;32m 772\u001b[0m indexer \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mindex\u001b[38;5;241m.\u001b[39mget_loc(label_value)\n\u001b[1;32m 773\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mKeyError\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m e:\n\u001b[0;32m--> 774\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mKeyError\u001b[39;00m(\n\u001b[1;32m 775\u001b[0m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mnot all values found in index \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mcoord_name\u001b[38;5;132;01m!r}\u001b[39;00m\u001b[38;5;124m. \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 776\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mTry setting the `method` keyword argument (example: method=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mnearest\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m).\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 777\u001b[0m ) \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01me\u001b[39;00m\n\u001b[1;32m 779\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m label_array\u001b[38;5;241m.\u001b[39mdtype\u001b[38;5;241m.\u001b[39mkind \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mb\u001b[39m\u001b[38;5;124m\"\u001b[39m:\n\u001b[1;32m 780\u001b[0m indexer \u001b[38;5;241m=\u001b[39m label_array\n", + "\u001b[0;31mKeyError\u001b[0m: \"not all values found in index 'model'. Try setting the `method` keyword argument (example: method='nearest').\"" + ] + } + ], + "source": [ + "clim1.X.loc[:,'S002',\"F\",\"Multi_Synthesis\"].values" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "89fe472f", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "clim3" + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "id": "194d0ab4", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([ -315685.29426026, 43612.15040269, -6625.05170352,\n", + " -96079.27460001, 310367.56000154, 527768.13704653,\n", + " -127367.52025522, -643883.98025824, 411406.13940072,\n", + " -165461.25810763, -220275.20395218, 265496.31125338,\n", + " 228746.71409079, 482184.38465033, -172574.58395118,\n", + " -280112.14320179, 43121.53007511, 194583.09745653,\n", + " 432967.11747395, -234705.27104467, 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-1.29230467e+21,\n", + " 9.56744659e+21, -3.49307814e+21, -7.46477483e+21, 6.62985212e+21,\n", + " -6.17161709e+21, -4.77122812e+20, 1.27727278e+22, -2.25069889e+21,\n", + " 5.98796505e+21, 1.95524362e+21, 9.59703372e+21, -6.13304132e+21,\n", + " -8.37776800e+21, 3.10266403e+21, -7.22777085e+21, -1.33549155e+21,\n", + " 2.63380716e+20, -2.73106270e+21, 1.44901259e+21, 2.19196327e+21,\n", + " -4.59004724e+21, 3.17796501e+21, -4.11110241e+21, 7.04294018e+21,\n", + " 2.62887312e+21, -1.03916916e+20, 1.02143404e+21, -3.67975023e+21,\n", + " 9.34023449e+21, 8.92813354e+20, -1.30461099e+22, -4.59146311e+21,\n", + " 7.37587534e+21, -2.69695894e+21, 3.18065197e+21, -4.49493076e+21,\n", + " -5.22386968e+21, -9.77057729e+21, -7.26681669e+20, 1.87875475e+21,\n", + " 1.34243881e+22, 4.21066680e+21, 1.68875170e+22, -3.77333742e+21,\n", + " -1.32244175e+22, 1.55649840e+21, -2.80402706e+21])" + ] + }, + "execution_count": 34, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "clim_CX_Yoann.X.loc[:,'S00',\"F\",\"Multi_Synthesis\"].values" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "id": "710d610c", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array(['BE', 'S00', 'S01', 'S02', 'S03', 'S04', 'S05', 'S06', 'S07',\n", + " 'S08', 'S09'], dtype=' 1\u001b[0m \u001b[43mXebm\u001b[49m \n", + "\u001b[0;31mNameError\u001b[0m: name 'Xebm' is not defined" + ] + } + ], + "source": [ + "Xebm " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "61930db8", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "TestSDFC", + "language": "python", + "name": "testsdfc" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.0" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/test/.ipynb_checkpoints/NSSEA_and_STAN-checkpoint.ipynb b/test/.ipynb_checkpoints/NSSEA_and_STAN-checkpoint.ipynb new file mode 100644 index 0000000..023a9e0 --- /dev/null +++ b/test/.ipynb_checkpoints/NSSEA_and_STAN-checkpoint.ipynb @@ -0,0 +1,33 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "id": "3e77a3c3", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "TestSDFC", + "language": "python", + "name": "testsdfc" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.0" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/test/.ipynb_checkpoints/Test_OB_Addons-checkpoint.ipynb b/test/.ipynb_checkpoints/Test_OB_Addons-checkpoint.ipynb new file mode 100644 index 0000000..2d5a855 --- /dev/null +++ b/test/.ipynb_checkpoints/Test_OB_Addons-checkpoint.ipynb @@ -0,0 +1,3140 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "774066da", + "metadata": {}, + "outputs": [], + "source": [ + "import sys,os\n", + "import tarfile\n", + "import numpy as np\n", + "import pandas as pd\n", + "import xarray as xr\n", + "import time as tm\n", + "\n", + "import SDFC.link as sdl\n", + "import NSSEA as ns\n", + "import NSSEA.plot as nsp\n", + "import NSSEA.models as nsm\n" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "e7b3354f", + "metadata": {}, + "outputs": [], + "source": [ + "#Useful modified\n", + "def correct_miss( X , lo = 100 , up = 350 ):##{{{\n", + "#\treturn X\n", + "\tmod = str(X.columns[0])\n", + "\tbad = np.logical_or( X < lo , X > up )\n", + "\tbad = np.logical_or( bad , np.isnan(X) )\n", + "\tbad = np.logical_or( bad , np.logical_not(np.isfinite(X)) )\n", + "\tif np.any(bad):\n", + "\t\tidx,_ = np.where(bad)\n", + "\t\tidx_co = np.copy(idx)\n", + "\t\tfor i in range(idx.size):\n", + "\t\t\tj = 0\n", + "\t\t\twhile idx[i] + j in idx:\n", + "\t\t\t\tj += 1\n", + "\t\t\tidx_co[i] += j\n", + "\t\tX.iloc[idx] = X.iloc[idx_co].values\n", + "\treturn X\n", + "##}}}\n", + "\n", + "def load_models_CMIP6(pathInp,type_data):\n", + " ## List of models X\n", + " pathInpX= os.path.join(pathInp,\"CMIP6/X\",type_data)\n", + " modelsX = [ \"_\".join(f.split(\"/\")[-1][:-3].split(\"_\")[-2:]) for f in os.listdir(pathInpX) ]\n", + " modelsX.sort()\n", + "\n", + " ## List of models Y\n", + " pathInpY= os.path.join(pathInp,\"CMIP6/Y\",type_data)\n", + " modelsY = [ \"_\".join(f.split(\"/\")[-1][:-3].split(\"_\")[-2:]) for f in os.listdir(pathInpY) ]\n", + " modelsY.sort()\n", + " models = list(set(modelsX) & set(modelsY))\n", + " models.sort()\n", + " print(models)\n", + "\n", + "\n", + " ## Load X and Y\n", + " lX = []\n", + " lY = []\n", + " if type_data== \"03_Post_treatment\":\n", + " \t\n", + " \tfor m in models:\n", + "\t\t\n", + " \t## Load X\n", + " \n", + " \tdf = xr.open_dataset( os.path.join( pathInpX , \"full_Europe_tas_YearMean_ssp585_{}.nc\".format(m) ) ,decode_times=True )\n", + " \ttime = df.time[\"time.year\"].values.astype(int)\n", + " \tX = pd.DataFrame( df.tas.values.ravel() , columns = [m] , index = time )\n", + " \t\n", + " \tlX.append( correct_miss(X , lo = -15 , up = 25))\n", + " \n", + " \t## Load Y\n", + " \tdf = xr.open_dataset( os.path.join( pathInpY , \"full_Tricastin_ssp585_{}.nc\".format(m) ) ,decode_times=True )\n", + " \ttime = df.time[\"time.year\"].values.astype(int)\n", + " \tY = pd.DataFrame( df.tasmax.values.ravel() , columns = [m] , \tindex = time )\n", + " \tlY.append( correct_miss(Y, lo = -15 , up = 25 ))\n", + " else:\n", + " \tfor m in models:\n", + "\n", + " \t## Load X\n", + " \n", + " \tdf = xr.open_dataset( os.path.join( pathInpX , \"full_Europe_tas_YearMean_ssp585_{}.nc\".format(m) ) ,decode_times=False )\n", + " \ttime = df.time.values.astype(int)\n", + " \tX = pd.DataFrame( df.tas.values.ravel() , columns = [m] , index = time )\n", + " \n", + " \tlX.append( correct_miss(X) )\n", + " \n", + " \t## Load Y\n", + " \tdf = xr.open_dataset( os.path.join( pathInpY , \"full_Tricastin_ssp585_{}.nc\".format(m) ) ,decode_times=False )\n", + " \ttime = df.time.values.astype(int)\n", + " \tY = pd.DataFrame( df.tasmax.values.ravel() , columns = [m] , \tindex = time )\n", + " \tlY.append( correct_miss(Y) )\n", + " return lX, lY,models\n", + " \n", + "\n", + "def load_obs(pathInp,type_data):\n", + " ## Load Observations\n", + " dXo = xr.open_dataset(os.path.join( pathInp ,\"Observations\",type_data,\"Xo.nc\"))\n", + " Xo = pd.DataFrame( dXo.tas.values.squeeze() , columns = [\"Xo\"] , index = dXo.time[\"time.year\"].values )\n", + "\n", + " Xo #Deja en anomalies\n", + " dYo = xr.open_dataset(os.path.join( pathInp ,\"Observations\",type_data,\"Yo.nc\"))\n", + " Yo = pd.DataFrame( dYo.TX.values.squeeze() , columns = [\"Yo\"] , index = dYo.time[\"time.year\"].values )\n", + " return Xo,Yo #en celsius" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "db9c07d3", + "metadata": {}, + "outputs": [], + "source": [ + "#Parameters\n", + "time_period = np.arange( 1850 , 2101 , 1 , dtype = int )\n", + "time_reference = np.arange( 1986 , 2016 , 1 , dtype = int )\n", + "\n", + "ci = 0.05\n", + "sample_dis=False #If want n sample of each GCM model. For graph only, not used for multisynthesis. Takes a lot of time\n", + "\n", + "#Time period of interest\n", + "T=100\n", + "T1=2000\n", + "T2=2100\n", + "deb=1850\n", + "fin=2101\n", + "\n", + "ns_law = nsm.GEV()\n", + "event = ns.Event( \"HW19\" , 2019 , time_reference , type_ = \"value\" , variable = \"TX3X\" , unit = \"K\" )\n", + "verbose = \"--not-verbose\" not in sys.argv" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "c3f91487", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "['ACCESS-CM2_i1p1f1', 'ACCESS-ESM1-5_i1p1f1', 'CMCC-ESM2_i1p1f1', 'CNRM-CM6-1-HR_i1p1f2', 'CNRM-CM6-1_i1p1f2', 'CNRM-ESM2-1_i1p1f2', 'CanESM5_i1p2f1', 'EC-Earth3-CC_i1p1f1', 'EC-Earth3-Veg-LR_i1p1f1', 'EC-Earth3-Veg_i1p1f1', 'EC-Earth3_i1p1f1', 'FGOALS-g3_i1p1f1', 'GFDL-ESM4_i1p1f1', 'HadGEM3-GC31-LL_i1p1f3', 'HadGEM3-GC31-MM_i1p1f3', 'INM-CM4-8_i1p1f1', 'INM-CM5-0_i1p1f1', 'IPSL-CM6A-LR_i1p1f1', 'KACE-1-0-G_i1p1f1', 'MIROC-ES2L_i1p1f2', 'MIROC6_i1p1f1', 'MPI-ESM1-2-LR_i1p1f1', 'MRI-ESM2-0_i1p1f1', 'MRI-ESM2-0_i2p1f1', 'NESM3_i1p1f1', 'NorESM2-MM_i1p1f1', 'TaiESM1_i1p1f1', 'UKESM1-0-LL_i1p1f2']\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/tmp/ipykernel_36906/3393259602.py:5: FutureWarning: Calling float on a single element Series is deprecated and will raise a TypeError in the future. Use float(ser.iloc[0]) instead\n", + " event.value = float(Yo.loc[event.time])\n" + ] + } + ], + "source": [ + "pathInp='/home/barbauxo/Documents/Doctorat/03_Travail/2023_01 Application Tricastin/Data'\n", + "type_data=\"03_Post_treatment\" #\"02_Selected\"\n", + "lX,lY,models=load_models_CMIP6(pathInp,type_data)\n", + "Xo,Yo=load_obs(pathInp,type_data)\n", + "event.value = float(Yo.loc[event.time])" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "23133323", + "metadata": {}, + "outputs": [], + "source": [ + "n_sample = 1000\n", + "verbose=False" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "0b1b7c3c", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "0b16273b", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__GEV.py:347: RuntimeWarning: overflow encountered in divide\n", + " T0 = ZZim1 / scale - shc * shape / ( ZZ * scale )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__GEV.py:348: RuntimeWarning: overflow encountered in multiply\n", + " T1 = 1 / scale + ZZim1 * Z / scale - shc * shape * Z / ( ZZ * scale )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__GEV.py:349: RuntimeWarning: overflow encountered in divide\n", + " T2 = np.log(ZZ) * ZZi / shape**2 - ZZim1 * Z / shape - np.log(ZZ) / shape**2 + shc * Z / ZZ\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__GEV.py:349: RuntimeWarning: overflow encountered in multiply\n", + " T2 = np.log(ZZ) * ZZi / shape**2 - ZZim1 * Z / shape - np.log(ZZ) / shape**2 + shc * Z / ZZ\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__GEV.py:349: RuntimeWarning: invalid value encountered in subtract\n", + " T2 = np.log(ZZ) * ZZi / shape**2 - ZZim1 * Z / shape - np.log(ZZ) / shape**2 + shc * Z / ZZ\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__GEV.py:326: RuntimeWarning: overflow encountered in power\n", + " res = np.sum( ( 1. + 1. / shape ) * np.log(Z) + np.power( Z , - 1. / shape ) + np.log(scale) )\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "9935.704282283783\n" + ] + } + ], + "source": [ + "## Prior Functions (Yoann this is so slow)\n", + "##================================\n", + "t0 = tm.time()\n", + "clim = ns.Climatology( event , time_period , models ,n_sample , ns_law )\n", + "Xebm = ns.EBM().draw_sample( clim.time , n_sample + 1 , fix_first = 0 )\n", + "clim =ns.covariates_FC_GAM( clim , lX , Xebm , dof = 7 , verbose = False )\n", + "clim = ns.nslaw_fit( lY , clim , verbose = verbose ) \n", + "clim = ns.infer_multi_model( clim , verbose = verbose )\n", + "## Add constraint on X\n", + "clim_light_MM = clim.copy()\n", + "clim_light_MM.keep_models( \"Multi_Synthesis\" )\n", + "clim_CX = ns.constrain_covariate( clim_light_MM , Xo , time_reference , verbose = verbose )\n", + "t1 = tm.time()\n", + "total = t1-t0\n", + "print(total)" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "64db0f22", + "metadata": {}, + "outputs": [ + { + "ename": "PermissionError", + "evalue": "[Errno 13] Permission denied: '/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/NSSEA/test/clim_CX.nc'", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mKeyError\u001b[0m Traceback (most recent call last)", + "File \u001b[0;32m~/miniconda3/envs/TestSDFC/lib/python3.12/site-packages/xarray/backends/file_manager.py:211\u001b[0m, in \u001b[0;36mCachingFileManager._acquire_with_cache_info\u001b[0;34m(self, needs_lock)\u001b[0m\n\u001b[1;32m 210\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 211\u001b[0m file \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_cache\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_key\u001b[49m\u001b[43m]\u001b[49m\n\u001b[1;32m 212\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mKeyError\u001b[39;00m:\n", + "File \u001b[0;32m~/miniconda3/envs/TestSDFC/lib/python3.12/site-packages/xarray/backends/lru_cache.py:56\u001b[0m, in \u001b[0;36mLRUCache.__getitem__\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m 55\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_lock:\n\u001b[0;32m---> 56\u001b[0m value \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_cache\u001b[49m\u001b[43m[\u001b[49m\u001b[43mkey\u001b[49m\u001b[43m]\u001b[49m\n\u001b[1;32m 57\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_cache\u001b[38;5;241m.\u001b[39mmove_to_end(key)\n", + "\u001b[0;31mKeyError\u001b[0m: [, ('/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/NSSEA/test/clim_CX.nc',), 'a', (('clobber', True), ('diskless', False), ('format', 'NETCDF4'), ('persist', False)), '07609738-c553-4367-817c-11be22229495']", + "\nDuring handling of the above exception, another exception occurred:\n", + "\u001b[0;31mPermissionError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[16], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43mclim_CX\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mto_netcdf\u001b[49m\u001b[43m(\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mclim_CX.nc\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m~/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/NSSEA/NSSEA/__variables.py:247\u001b[0m, in \u001b[0;36mClimatology.to_netcdf\u001b[0;34m(self, ofile)\u001b[0m\n\u001b[1;32m 245\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mdata\u001b[38;5;241m.\u001b[39mattrs[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mevent.variable\u001b[39m\u001b[38;5;124m\"\u001b[39m] \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mevent\u001b[38;5;241m.\u001b[39mvariable\n\u001b[1;32m 246\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mdata\u001b[38;5;241m.\u001b[39mattrs[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mevent.unit\u001b[39m\u001b[38;5;124m\"\u001b[39m] \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mevent\u001b[38;5;241m.\u001b[39munit\n\u001b[0;32m--> 247\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdata\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mto_netcdf\u001b[49m\u001b[43m(\u001b[49m\u001b[43mofile\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m~/miniconda3/envs/TestSDFC/lib/python3.12/site-packages/xarray/core/dataset.py:2280\u001b[0m, in \u001b[0;36mDataset.to_netcdf\u001b[0;34m(self, path, mode, format, group, engine, encoding, unlimited_dims, compute, invalid_netcdf)\u001b[0m\n\u001b[1;32m 2277\u001b[0m encoding \u001b[38;5;241m=\u001b[39m {}\n\u001b[1;32m 2278\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mxarray\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mbackends\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mapi\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m to_netcdf\n\u001b[0;32m-> 2280\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mto_netcdf\u001b[49m\u001b[43m(\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;66;43;03m# type: ignore # mypy cannot resolve the overloads:(\u001b[39;49;00m\n\u001b[1;32m 2281\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m 2282\u001b[0m \u001b[43m \u001b[49m\u001b[43mpath\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 2283\u001b[0m \u001b[43m \u001b[49m\u001b[43mmode\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mmode\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 2284\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;28;43mformat\u001b[39;49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mformat\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m 2285\u001b[0m \u001b[43m \u001b[49m\u001b[43mgroup\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mgroup\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 2286\u001b[0m \u001b[43m \u001b[49m\u001b[43mengine\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mengine\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 2287\u001b[0m \u001b[43m \u001b[49m\u001b[43mencoding\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mencoding\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 2288\u001b[0m \u001b[43m \u001b[49m\u001b[43munlimited_dims\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43munlimited_dims\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 2289\u001b[0m \u001b[43m \u001b[49m\u001b[43mcompute\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcompute\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 2290\u001b[0m \u001b[43m \u001b[49m\u001b[43mmultifile\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m,\u001b[49m\n\u001b[1;32m 2291\u001b[0m \u001b[43m \u001b[49m\u001b[43minvalid_netcdf\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43minvalid_netcdf\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 2292\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m~/miniconda3/envs/TestSDFC/lib/python3.12/site-packages/xarray/backends/api.py:1242\u001b[0m, in \u001b[0;36mto_netcdf\u001b[0;34m(dataset, path_or_file, mode, format, group, engine, encoding, unlimited_dims, compute, multifile, invalid_netcdf)\u001b[0m\n\u001b[1;32m 1238\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m 1239\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\n\u001b[1;32m 1240\u001b[0m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124munrecognized option \u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124minvalid_netcdf\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m for engine \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mengine\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 1241\u001b[0m )\n\u001b[0;32m-> 1242\u001b[0m store \u001b[38;5;241m=\u001b[39m \u001b[43mstore_open\u001b[49m\u001b[43m(\u001b[49m\u001b[43mtarget\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmode\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mformat\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mgroup\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 1244\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m unlimited_dims \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m 1245\u001b[0m unlimited_dims \u001b[38;5;241m=\u001b[39m dataset\u001b[38;5;241m.\u001b[39mencoding\u001b[38;5;241m.\u001b[39mget(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124munlimited_dims\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;28;01mNone\u001b[39;00m)\n", + "File \u001b[0;32m~/miniconda3/envs/TestSDFC/lib/python3.12/site-packages/xarray/backends/netCDF4_.py:400\u001b[0m, in \u001b[0;36mNetCDF4DataStore.open\u001b[0;34m(cls, filename, mode, format, group, clobber, diskless, persist, lock, lock_maker, autoclose)\u001b[0m\n\u001b[1;32m 394\u001b[0m kwargs \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mdict\u001b[39m(\n\u001b[1;32m 395\u001b[0m clobber\u001b[38;5;241m=\u001b[39mclobber, diskless\u001b[38;5;241m=\u001b[39mdiskless, persist\u001b[38;5;241m=\u001b[39mpersist, \u001b[38;5;28mformat\u001b[39m\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mformat\u001b[39m\n\u001b[1;32m 396\u001b[0m )\n\u001b[1;32m 397\u001b[0m manager \u001b[38;5;241m=\u001b[39m CachingFileManager(\n\u001b[1;32m 398\u001b[0m netCDF4\u001b[38;5;241m.\u001b[39mDataset, filename, mode\u001b[38;5;241m=\u001b[39mmode, kwargs\u001b[38;5;241m=\u001b[39mkwargs\n\u001b[1;32m 399\u001b[0m )\n\u001b[0;32m--> 400\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mcls\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mmanager\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mgroup\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mgroup\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmode\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mmode\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mlock\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mlock\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mautoclose\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mautoclose\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m~/miniconda3/envs/TestSDFC/lib/python3.12/site-packages/xarray/backends/netCDF4_.py:347\u001b[0m, in \u001b[0;36mNetCDF4DataStore.__init__\u001b[0;34m(self, manager, group, mode, lock, autoclose)\u001b[0m\n\u001b[1;32m 345\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_group \u001b[38;5;241m=\u001b[39m group\n\u001b[1;32m 346\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_mode \u001b[38;5;241m=\u001b[39m mode\n\u001b[0;32m--> 347\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mformat \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mds\u001b[49m\u001b[38;5;241m.\u001b[39mdata_model\n\u001b[1;32m 348\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_filename \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mds\u001b[38;5;241m.\u001b[39mfilepath()\n\u001b[1;32m 349\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mis_remote \u001b[38;5;241m=\u001b[39m is_remote_uri(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_filename)\n", + "File \u001b[0;32m~/miniconda3/envs/TestSDFC/lib/python3.12/site-packages/xarray/backends/netCDF4_.py:409\u001b[0m, in \u001b[0;36mNetCDF4DataStore.ds\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 407\u001b[0m \u001b[38;5;129m@property\u001b[39m\n\u001b[1;32m 408\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mds\u001b[39m(\u001b[38;5;28mself\u001b[39m):\n\u001b[0;32m--> 409\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_acquire\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m~/miniconda3/envs/TestSDFC/lib/python3.12/site-packages/xarray/backends/netCDF4_.py:403\u001b[0m, in \u001b[0;36mNetCDF4DataStore._acquire\u001b[0;34m(self, needs_lock)\u001b[0m\n\u001b[1;32m 402\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_acquire\u001b[39m(\u001b[38;5;28mself\u001b[39m, needs_lock\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m):\n\u001b[0;32m--> 403\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;28;43;01mwith\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_manager\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43macquire_context\u001b[49m\u001b[43m(\u001b[49m\u001b[43mneeds_lock\u001b[49m\u001b[43m)\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mas\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mroot\u001b[49m\u001b[43m:\u001b[49m\n\u001b[1;32m 404\u001b[0m \u001b[43m \u001b[49m\u001b[43mds\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m \u001b[49m\u001b[43m_nc4_require_group\u001b[49m\u001b[43m(\u001b[49m\u001b[43mroot\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_group\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_mode\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 405\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m ds\n", + "File \u001b[0;32m~/miniconda3/envs/TestSDFC/lib/python3.12/contextlib.py:137\u001b[0m, in \u001b[0;36m_GeneratorContextManager.__enter__\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 135\u001b[0m \u001b[38;5;28;01mdel\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39margs, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mkwds, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mfunc\n\u001b[1;32m 136\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 137\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mnext\u001b[39;49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mgen\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 138\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mStopIteration\u001b[39;00m:\n\u001b[1;32m 139\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mRuntimeError\u001b[39;00m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mgenerator didn\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mt yield\u001b[39m\u001b[38;5;124m\"\u001b[39m) \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m\n", + "File \u001b[0;32m~/miniconda3/envs/TestSDFC/lib/python3.12/site-packages/xarray/backends/file_manager.py:199\u001b[0m, in \u001b[0;36mCachingFileManager.acquire_context\u001b[0;34m(self, needs_lock)\u001b[0m\n\u001b[1;32m 196\u001b[0m \u001b[38;5;129m@contextlib\u001b[39m\u001b[38;5;241m.\u001b[39mcontextmanager\n\u001b[1;32m 197\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21macquire_context\u001b[39m(\u001b[38;5;28mself\u001b[39m, needs_lock\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m):\n\u001b[1;32m 198\u001b[0m \u001b[38;5;250m \u001b[39m\u001b[38;5;124;03m\"\"\"Context manager for acquiring a file.\"\"\"\u001b[39;00m\n\u001b[0;32m--> 199\u001b[0m file, cached \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_acquire_with_cache_info\u001b[49m\u001b[43m(\u001b[49m\u001b[43mneeds_lock\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 200\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m 201\u001b[0m \u001b[38;5;28;01myield\u001b[39;00m file\n", + "File \u001b[0;32m~/miniconda3/envs/TestSDFC/lib/python3.12/site-packages/xarray/backends/file_manager.py:217\u001b[0m, in \u001b[0;36mCachingFileManager._acquire_with_cache_info\u001b[0;34m(self, needs_lock)\u001b[0m\n\u001b[1;32m 215\u001b[0m kwargs \u001b[38;5;241m=\u001b[39m kwargs\u001b[38;5;241m.\u001b[39mcopy()\n\u001b[1;32m 216\u001b[0m kwargs[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mmode\u001b[39m\u001b[38;5;124m\"\u001b[39m] \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_mode\n\u001b[0;32m--> 217\u001b[0m file \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_opener\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_args\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 218\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_mode \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mw\u001b[39m\u001b[38;5;124m\"\u001b[39m:\n\u001b[1;32m 219\u001b[0m \u001b[38;5;66;03m# ensure file doesn't get overridden when opened again\u001b[39;00m\n\u001b[1;32m 220\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_mode \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124ma\u001b[39m\u001b[38;5;124m\"\u001b[39m\n", + "File \u001b[0;32msrc/netCDF4/_netCDF4.pyx:2469\u001b[0m, in \u001b[0;36mnetCDF4._netCDF4.Dataset.__init__\u001b[0;34m()\u001b[0m\n", + "File \u001b[0;32msrc/netCDF4/_netCDF4.pyx:2028\u001b[0m, in \u001b[0;36mnetCDF4._netCDF4._ensure_nc_success\u001b[0;34m()\u001b[0m\n", + "\u001b[0;31mPermissionError\u001b[0m: [Errno 13] Permission denied: '/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/NSSEA/test/clim_CX.nc'" + ] + } + ], + "source": [ + "clim_CX.to_netcdf( \"clim_CX.nc\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "a827e06e", + "metadata": {}, + "outputs": [], + "source": [ + "clim_CX=ns.Climatology.from_netcdf( \"clim_CX.nc\" , ns_law )" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "e178139c", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:326: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "2537.803835630417\n" + ] + } + ], + "source": [ + "#Original\n", + "t0 = tm.time()\n", + "bayes_kwargs = { \"n_mcmc_drawn_min\" : 5000 , \"n_mcmc_drawn_max\" : 10000 }\n", + "bayes_kwargs[\"transition_type\"]=\"Fixed\"\n", + "bayes_kwargs[\"fixed_cov\"]=np.array([0.1,0.1,0.1,0.1,0.1])\n", + "climCXCB = ns.constrain_law( clim_CX , Yo , verbose = verbose , **bayes_kwargs )\n", + "t1 = tm.time()\n", + "total = t1-t0\n", + "print(total)" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "e4257a3b", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:326: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "2535.927412748337\n" + ] + } + ], + "source": [ + "t0 = tm.time()\n", + "bayes_kwargs = { \"n_mcmc_drawn_min\" : 5000 , \"n_mcmc_drawn_max\" : 10000 }\n", + "bayes_kwargs[\"transition_type\"]=\"Fixed\"\n", + "bayes_kwargs[\"fixed_cov\"]=np.array([0.1])\n", + "climCXCB = ns.constrain_law( clim_CX , Yo , verbose = verbose , **bayes_kwargs )\n", + "t1 = tm.time()\n", + "total = t1-t0\n", + "print(total)" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "5ba049ea", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:326: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "4033.291676044464\n" + ] + } + ], + "source": [ + "t0 = tm.time()\n", + "bayes_kwargs = { \"n_mcmc_drawn_min\" : 5000 , \"n_mcmc_drawn_max\" : 10000 }\n", + "bayes_kwargs[\"transition_type\"]=\"Adapt\"\n", + "climCXCB = ns.constrain_law( clim_CX , Yo , verbose = verbose , **bayes_kwargs )\n", + "t1 = tm.time()\n", + "total = t1-t0\n", + "print(total)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "5150d3f0", + "metadata": {}, + "outputs": [], + "source": [ + " " + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "9a527641", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:326: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "3748.772431373596\n" + ] + } + ], + "source": [ + "t0 = tm.time()\n", + "bayes_kwargs = { \"n_mcmc_drawn_min\" : 5000 , \"n_mcmc_drawn_max\" : 10000 }\n", + "bayes_kwargs[\"transition_type\"]=\"Adapt\"\n", + "bayes_kwargs[\"method_MCMC\"]=\"bayesian\"\n", + "climCXCB = ns.constrain_law( clim_CX , Yo , verbose = verbose , **bayes_kwargs )\n", + "t1 = tm.time()\n", + "total = t1-t0\n", + "print(total)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "364b9cd8", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: 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np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres 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np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres 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np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres 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np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres 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np.exp( p_next - p_current )\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( 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np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: 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np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: 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np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres 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np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres 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np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( 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np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres 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RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: 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np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: 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np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres 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np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres 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np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres 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np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres 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np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres 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np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres 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RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: 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np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres 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np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres 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np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres 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np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: 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np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres 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np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres 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np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres 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np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres 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np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: 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np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: 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np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres 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np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres 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np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres 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np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres 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np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: 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np.exp( p_next - p_current )\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres 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np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres 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np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres 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np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres 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np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres 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np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: 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np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres 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np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres 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np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres 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np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: 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np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres 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np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres 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np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres 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np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres 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np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres 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RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: 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np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n" + ] + } + ], + "source": [ + "t0 = tm.time()\n", + "bayes_kwargs = { \"n_mcmc_drawn_min\" : 5000 , \"n_mcmc_drawn_max\" : 10000,\"n_ess\" : 10, \"burn_in\" : 800 }\n", + "bayes_kwargs[\"transition_type\"]=\"Adapt\"\n", + "bayes_kwargs[\"method_MCMC\"]=\"bayesian-experimental-ess\"\n", + "climCXCB = ns.constrain_law( clim_CX , Yo , verbose = verbose , **bayes_kwargs )\n", + "t1 = tm.time()\n", + "total = t1-t0\n", + "print(total)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "4ed7b4ab", + "metadata": {}, + "outputs": [], + "source": [ + "t0 = tm.time()\n", + "#clim_CX=ns.Climatology.from_netcdf( \"~/Documents/Doctorat/03_Travail/2023_08 Clean Run/clim_CX.nc\" , ns_law ) \n", + "#bayes_kwargs = { \"n_mcmc_drawn_min\" : 5000 , \"n_mcmc_drawn_max\" : 10000 }\n", + "bayes_kwargs = { \"n_mcmc_drawn_min\" : 5000 , \"n_mcmc_drawn_max\" : 10000 ,\"n_ess\" : 10, \"burn_in\" : 500 }\n", + "\n", + "bayes_kwargs[\"transition_type\"]=\"Adapt\"\n", + "bayes_kwargs[\"method_MCMC\"]=\"bayesian-experimental-mhwg\"\n", + "climCXCB = ns.constrain_law( clim_CX , Yo , verbose = verbose , **bayes_kwargs )\n", + "t1 = tm.time()\n", + "total = t1-t0\n", + "print(total)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "566c7920", + "metadata": {}, + "outputs": [], + "source": [ + "t0 = tm.time()\n", + "bayes_kwargs = { \"n_mcmc_drawn_min\" : 5000 , \"n_mcmc_drawn_max\" : 10000 ,\"n_ess\" : 10, \"burn_in\" : 800 ,\"mcmc_init\":np.array([0]*5) }\n", + "bayes_kwargs[\"transition_type\"]=\"Adapt\"\n", + "bayes_kwargs[\"method_MCMC\"]=\"bayesian-experimental-mhwg-ess\"\n", + "climCXCB = ns.constrain_law( clim_CX , Yo , verbose = verbose , **bayes_kwargs )\n", + "t1 = tm.time()\n", + "total = t1-t0\n", + "print(total)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "9bcfc40d", + "metadata": {}, + "outputs": [], + "source": [ + "t0 = tm.time()\n", + "bayes_kwargs = { \"n_mcmc_drawn_min\" : 5000 , \"n_mcmc_drawn_max\" : 10000 ,\"n_ess\" : 10, \"burn_in\" : 800 ,\"mcmc_init\":np.array([0]*5) }\n", + "bayes_kwargs[\"transition_type\"]=\"Fixed\"\n", + "bayes_kwargs[\"fixed_cov\"]=np.array([0.5,0.5,0.5,0.5,0.5])\n", + "bayes_kwargs[\"method_MCMC\"]=\"bayesian-experimental-mhwg-ess\"\n", + "climCXCB = ns.constrain_law( clim_CX , Yo , verbose = verbose , **bayes_kwargs )\n", + "t1 = tm.time()\n", + "total = t1-t0\n", + "print(total)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "f4a54418", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "4a7ac83c", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "0bae8995", + "metadata": {}, + "outputs": [], + "source": [ + "# Preparation, light version" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "033758b1", + "metadata": {}, + "outputs": [], + "source": [ + "n_sample = 1000\n", + "verbose=False" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "0f3983b1", + "metadata": {}, + "outputs": [], + "source": [ + "## Prior Functions (Light_version is faster)\n", + "##================================\n", + "light=True\n", + "t0 = tm.time()\n", + "clim_light = ns.Climatology( event , time_period , models ,n_sample , ns_law )\n", + "Xebm = ns.EBM().draw_sample( clim_light.time , n_sample + 1 , fix_first = 0 )\n", + "clim_light =ns.covariates_FC_GAM( clim_light , lX , Xebm , dof = 7 , verbose = False,light=light )\n", + "clim_light = ns.nslaw_fit( lY , clim_light , verbose = verbose,light= light ) \n", + "clim_light = ns.infer_multi_model( clim_light , verbose = verbose )\n", + "## Add constraint on X\n", + "clim_MM_light = clim_light.copy()\n", + "clim_MM_light.keep_models( \"Multi_Synthesis\" )\n", + "clim_CX_light = ns.constrain_covariate( clim_MM_light , Xo , time_reference , verbose = verbose )\n", + "t1 = tm.time()\n", + "total = t1-t0\n", + "print(total)\n", + "clim_CX_light.to_netcdf( \"clim_CX_light.nc\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "84233480", + "metadata": {}, + "outputs": [], + "source": [ + "t0 = tm.time()\n", + "bayes_kwargs = { \"n_mcmc_drawn_min\" : 5000 , \"n_mcmc_drawn_max\" : 10000 ,\"n_ess\" : 10, \"burn_in\" : 800 ,\"mcmc_init\":np.array([0]*5) }\n", + "bayes_kwargs[\"transition_type\"]=\"Adapt\"\n", + "bayes_kwargs[\"method_MCMC\"]=\"bayesian-experimental-mhwg-ess\"\n", + "climCXCB = ns.constrain_law( clim_CX_light , Yo , keep=\"ess\", verbose = verbose , **bayes_kwargs )\n", + "t1 = tm.time()\n", + "total = t1-t0\n", + "print(total)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d8a3263b", + "metadata": {}, + "outputs": [], + "source": [ + "climCXCB.law_coef.loc[:,'S00_3' ,:]" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "e7aad2a5", + "metadata": {}, + "outputs": [], + "source": [ + "climCXCB.to_netcdf( \"climCXCB.nc\")" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "47abb32e", + "metadata": {}, + "outputs": [], + "source": [ + "climCXCB=ns.Climatology.from_netcdf( \"climCXCB.nc\" , ns_law )" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "9fc85e45", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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+       "    law_coef        (coef, sample, model) float64 ...\n",
+       "    mm_mean         (mm_coef) float64 ...\n",
+       "    mm_cov          (mm_coef, mm_coef) float64 ...\n",
+       "Attributes:\n",
+       "    BE_is_median:    False\n",
+       "    event.name:      HW19\n",
+       "    event.time:      2019\n",
+       "    event.value:     4.223333333333336\n",
+       "    event.type:      value\n",
+       "    event.side:      upper\n",
+       "    event.variable:  TX3X\n",
+       "    event.unit:      K
" + ], + "text/plain": [ + "\n", + "Dimensions: (time: 251, model: 1, sample: 11, anomaly_period: 30,\n", + " forcing: 2, coef: 5, mm_coef: 507)\n", + "Coordinates:\n", + " * time (time) int64 1850 1851 1852 1853 ... 2097 2098 2099 2100\n", + " * model (model) 6\u001b[0m climCXCB \u001b[38;5;241m=\u001b[39m \u001b[43mns\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mconstrain_law\u001b[49m\u001b[43m(\u001b[49m\u001b[43m \u001b[49m\u001b[43mclim_CX\u001b[49m\u001b[43m \u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mYo\u001b[49m\u001b[43m \u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mverbose\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mbayes_kwargs\u001b[49m\u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 7\u001b[0m t1 \u001b[38;5;241m=\u001b[39m tm\u001b[38;5;241m.\u001b[39mtime()\n\u001b[1;32m 8\u001b[0m total \u001b[38;5;241m=\u001b[39m t1\u001b[38;5;241m-\u001b[39mt0\n", + "File \u001b[0;32m~/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/NSSEA/NSSEA/__constraints.py:399\u001b[0m, in \u001b[0;36mconstrain_law\u001b[0;34m(climIn, Yo, keep, n_mcmc_drawn_min, n_mcmc_drawn_max, verbose, **kwargs)\u001b[0m\n\u001b[1;32m 396\u001b[0m \t\u001b[38;5;28;01mreturn\u001b[39;00m _constrain_law_ess( climIn , Yo , n_mcmc_drawn_min , n_mcmc_drawn_max , verbose , \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs )\t\n\u001b[1;32m 397\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m keep \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mall\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m keep \u001b[38;5;241m<\u001b[39m \u001b[38;5;241m1\u001b[39m:\n\u001b[1;32m 398\u001b[0m \t\u001b[38;5;66;03m#Maybe avoid a possible comparison between str and int ? put percentage as a kwarg ?\u001b[39;00m\n\u001b[0;32m--> 399\u001b[0m \t\u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43m_constrain_law_all\u001b[49m\u001b[43m(\u001b[49m\u001b[43m \u001b[49m\u001b[43mclimIn\u001b[49m\u001b[43m \u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mYo\u001b[49m\u001b[43m \u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mn_mcmc_drawn_min\u001b[49m\u001b[43m \u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mn_mcmc_drawn_max\u001b[49m\u001b[43m \u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mverbose\u001b[49m\u001b[43m \u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 400\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m 401\u001b[0m \t\u001b[38;5;28;01mreturn\u001b[39;00m _constrain_law_keep( climIn , Yo , keep , n_mcmc_drawn_min , n_mcmc_drawn_max , verbose , \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs )\n", + "File \u001b[0;32m~/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/NSSEA/NSSEA/__constraints.py:269\u001b[0m, in \u001b[0;36m_constrain_law_all\u001b[0;34m(climIn, Yo, n_mcmc_drawn_min, n_mcmc_drawn_max, verbose, **kwargs)\u001b[0m\n\u001b[1;32m 267\u001b[0m \tX \u001b[38;5;241m=\u001b[39m clim\u001b[38;5;241m.\u001b[39mX\u001b[38;5;241m.\u001b[39mloc[Yo\u001b[38;5;241m.\u001b[39mindex,s,\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mF\u001b[39m\u001b[38;5;124m\"\u001b[39m,\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mMulti_Synthesis\u001b[39m\u001b[38;5;124m\"\u001b[39m]\u001b[38;5;241m.\u001b[39mvalues\u001b[38;5;241m.\u001b[39msqueeze()\n\u001b[1;32m 268\u001b[0m \tn_mcmc_drawn \u001b[38;5;241m=\u001b[39m np\u001b[38;5;241m.\u001b[39mrandom\u001b[38;5;241m.\u001b[39mrandint( n_mcmc_drawn_min , n_mcmc_drawn_max )\n\u001b[0;32m--> 269\u001b[0m \tdraw \u001b[38;5;241m=\u001b[39m \u001b[43mclim\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mns_law\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdrawn_bayesian\u001b[49m\u001b[43m(\u001b[49m\u001b[43m \u001b[49m\u001b[43mYo\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mvalues\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msqueeze\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[43m \u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mX\u001b[49m\u001b[43m \u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mn_mcmc_drawn\u001b[49m\u001b[43m \u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mprior_law\u001b[49m\u001b[43m \u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmin_rate_accept\u001b[49m\u001b[43m \u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 270\u001b[0m \tclim\u001b[38;5;241m.\u001b[39mlaw_coef\u001b[38;5;241m.\u001b[39mloc[:,s,\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mMulti_Synthesis\u001b[39m\u001b[38;5;124m\"\u001b[39m] \u001b[38;5;241m=\u001b[39m draw[\u001b[38;5;241m-\u001b[39m\u001b[38;5;241m1\u001b[39m,:]\n\u001b[1;32m 272\u001b[0m clim\u001b[38;5;241m.\u001b[39mlaw_coef\u001b[38;5;241m.\u001b[39mloc[:,\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mBE\u001b[39m\u001b[38;5;124m\"\u001b[39m,:] \u001b[38;5;241m=\u001b[39m clim\u001b[38;5;241m.\u001b[39mlaw_coef[:,\u001b[38;5;241m1\u001b[39m:,:]\u001b[38;5;241m.\u001b[39mmedian( dim \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124msample\u001b[39m\u001b[38;5;124m\"\u001b[39m )\n", + "File \u001b[0;32m~/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/NSSEA/NSSEA/models/__AbstractModel.py:196\u001b[0m, in \u001b[0;36mAbstractModel.drawn_bayesian\u001b[0;34m(self, Y, X, n_mcmc_drawn, prior, min_rate_accept, **kwargs)\u001b[0m\n\u001b[1;32m 194\u001b[0m test_rate \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mFalse\u001b[39;00m\n\u001b[1;32m 195\u001b[0m \u001b[38;5;28;01mwhile\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m test_rate:\n\u001b[0;32m--> 196\u001b[0m \t\u001b[43msdlaw\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfit\u001b[49m\u001b[43m(\u001b[49m\u001b[43m \u001b[49m\u001b[43mY\u001b[49m\u001b[43m \u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mn_mcmc_drawn\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m \u001b[49m\u001b[43mn_mcmc_drawn\u001b[49m\u001b[43m \u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mprior\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m \u001b[49m\u001b[43mprior\u001b[49m\u001b[43m \u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43msdkwargs\u001b[49m\u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 198\u001b[0m \ttest_rate \u001b[38;5;241m=\u001b[39m sdlaw\u001b[38;5;241m.\u001b[39minfo_\u001b[38;5;241m.\u001b[39mrate_accept \u001b[38;5;241m>\u001b[39m min_rate_accept\n\u001b[1;32m 199\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m sdlaw\u001b[38;5;241m.\u001b[39minfo_\u001b[38;5;241m.\u001b[39mdraw\n", + "File \u001b[0;32m~/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:379\u001b[0m, in \u001b[0;36mAbstractLaw.fit\u001b[0;34m(self, Y, **kwargs)\u001b[0m\n\u001b[1;32m 377\u001b[0m \t\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_fit_Bayesian_MHWG_ESS(\u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n\u001b[1;32m 378\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m--> 379\u001b[0m \t\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_fit_Bayesian\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m~/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:321\u001b[0m, in \u001b[0;36mAbstractLaw._fit_Bayesian\u001b[0;34m(self, **kwargs)\u001b[0m\n\u001b[1;32m 318\u001b[0m \tdraw[i,:] \u001b[38;5;241m=\u001b[39m transition(draw[i\u001b[38;5;241m-\u001b[39m\u001b[38;5;241m1\u001b[39m,:])\n\u001b[1;32m 320\u001b[0m \u001b[38;5;66;03m## Likelihood and probability of new points\u001b[39;00m\n\u001b[0;32m--> 321\u001b[0m lll_next \u001b[38;5;241m=\u001b[39m \u001b[38;5;241m-\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_negloglikelihood\u001b[49m\u001b[43m(\u001b[49m\u001b[43mdraw\u001b[49m\u001b[43m[\u001b[49m\u001b[43mi\u001b[49m\u001b[43m,\u001b[49m\u001b[43m:\u001b[49m\u001b[43m]\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 322\u001b[0m prior_next \u001b[38;5;241m=\u001b[39m prior\u001b[38;5;241m.\u001b[39mlogpdf(draw[i,:])\u001b[38;5;241m.\u001b[39msum()\n\u001b[1;32m 323\u001b[0m p_next \u001b[38;5;241m=\u001b[39m prior_next \u001b[38;5;241m+\u001b[39m lll_next\n", + "File \u001b[0;32m~/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__GEV.py:303\u001b[0m, in \u001b[0;36mGEV._negloglikelihood\u001b[0;34m(self, coef)\u001b[0m\n\u001b[1;32m 301\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_negloglikelihood\u001b[39m( \u001b[38;5;28mself\u001b[39m , coef ): \u001b[38;5;66;03m##{{{\u001b[39;00m\n\u001b[0;32m--> 303\u001b[0m \t\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcoef_\u001b[49m \u001b[38;5;241m=\u001b[39m coef\n\u001b[1;32m 305\u001b[0m \t\u001b[38;5;66;03m## Impossible scale\u001b[39;00m\n\u001b[1;32m 306\u001b[0m \t\u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m np\u001b[38;5;241m.\u001b[39mall( \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mscale \u001b[38;5;241m>\u001b[39m \u001b[38;5;241m0\u001b[39m ):\n", + "File \u001b[0;32m~/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:199\u001b[0m, in \u001b[0;36mAbstractLaw.coef_\u001b[0;34m(self, coef_)\u001b[0m\n\u001b[1;32m 197\u001b[0m \u001b[38;5;129m@coef_\u001b[39m\u001b[38;5;241m.\u001b[39msetter\n\u001b[1;32m 198\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mcoef_\u001b[39m( \u001b[38;5;28mself\u001b[39m , coef_ ): \u001b[38;5;66;03m##{{{\u001b[39;00m\n\u001b[0;32m--> 199\u001b[0m \t\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_rhs\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcoef_\u001b[49m \u001b[38;5;241m=\u001b[39m coef_\n", + "File \u001b[0;32m~/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/core/__RHS.py:128\u001b[0m, in \u001b[0;36mRHS.coef_\u001b[0;34m(self, coef_)\u001b[0m\n\u001b[1;32m 126\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_coef_ \u001b[38;5;241m=\u001b[39m np\u001b[38;5;241m.\u001b[39marray( [coef_] )\u001b[38;5;241m.\u001b[39msqueeze()\u001b[38;5;241m.\u001b[39mreshape(\u001b[38;5;241m-\u001b[39m\u001b[38;5;241m1\u001b[39m)\n\u001b[1;32m 127\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mlhs_\u001b[38;5;241m.\u001b[39mvalues_ \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39ml_global\u001b[38;5;241m.\u001b[39mtransform( \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mcoef_ , \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mc_global )\n\u001b[0;32m--> 128\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mlhs_\u001b[38;5;241m.\u001b[39mjacobian_ \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43ml_global\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mjacobian\u001b[49m\u001b[43m(\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcoef_\u001b[49m\u001b[43m \u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mc_global\u001b[49m\u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m~/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/link/__Multivariate.py:165\u001b[0m, in \u001b[0;36mMLTensor.jacobian\u001b[0;34m(self, coef, X)\u001b[0m\n\u001b[1;32m 163\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m s \u001b[38;5;241m>\u001b[39m \u001b[38;5;241m0\u001b[39m:\n\u001b[1;32m 164\u001b[0m \tie \u001b[38;5;241m+\u001b[39m\u001b[38;5;241m=\u001b[39m s\n\u001b[0;32m--> 165\u001b[0m \tjac[i,:,ib:ie] \u001b[38;5;241m=\u001b[39m \u001b[43ml\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mjacobian\u001b[49m\u001b[43m(\u001b[49m\u001b[43m \u001b[49m\u001b[43mcoef\u001b[49m\u001b[43m[\u001b[49m\u001b[43mib\u001b[49m\u001b[43m:\u001b[49m\u001b[43mie\u001b[49m\u001b[43m]\u001b[49m\u001b[43m \u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mx\u001b[49m\u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 166\u001b[0m \tib \u001b[38;5;241m+\u001b[39m\u001b[38;5;241m=\u001b[39m s\n\u001b[1;32m 167\u001b[0m \ti \u001b[38;5;241m+\u001b[39m\u001b[38;5;241m=\u001b[39m \u001b[38;5;241m1\u001b[39m\n", + "File \u001b[0;32m~/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/link/__Multivariate.py:125\u001b[0m, in \u001b[0;36mMLLinear.jacobian\u001b[0;34m(self, coef, X)\u001b[0m\n\u001b[1;32m 121\u001b[0m \t\u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mjacobian\u001b[39m( \u001b[38;5;28mself\u001b[39m , coef , X ): \u001b[38;5;66;03m##{{{\u001b[39;00m\n\u001b[1;32m 122\u001b[0m \u001b[38;5;66;03m#\t\tjac = np.zeros( (self.n_samples,self.n_features) )\u001b[39;00m\n\u001b[1;32m 123\u001b[0m \u001b[38;5;66;03m#\t\tjac[:,0] = 1\u001b[39;00m\n\u001b[1;32m 124\u001b[0m \u001b[38;5;66;03m#\t\tjac[:,1:] = X\u001b[39;00m\n\u001b[0;32m--> 125\u001b[0m \t\t\u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_l\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mjacobian\u001b[49m\u001b[43m(\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_linear_transform\u001b[49m\u001b[43m(\u001b[49m\u001b[43m \u001b[49m\u001b[43mcoef\u001b[49m\u001b[43m \u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mX\u001b[49m\u001b[43m \u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mreshape\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m-\u001b[39;49m\u001b[38;5;241;43m1\u001b[39;49m\u001b[43m,\u001b[49m\u001b[38;5;241;43m1\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m \u001b[49m\u001b[43m)\u001b[49m \u001b[38;5;241m*\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mdesign_\n", + "File \u001b[0;32m~/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/link/__Univariate.py:66\u001b[0m, in \u001b[0;36mULIdentity.jacobian\u001b[0;34m(self, x)\u001b[0m\n\u001b[1;32m 65\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mjacobian\u001b[39m( \u001b[38;5;28mself\u001b[39m , x ):\n\u001b[0;32m---> 66\u001b[0m \t\u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mnp\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mones_like\u001b[49m\u001b[43m(\u001b[49m\u001b[43mx\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m~/miniconda3/envs/TestSDFC/lib/python3.12/site-packages/numpy/core/numeric.py:266\u001b[0m, in \u001b[0;36mones_like\u001b[0;34m(a, dtype, order, subok, shape)\u001b[0m\n\u001b[1;32m 205\u001b[0m \u001b[38;5;250m\u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m 206\u001b[0m \u001b[38;5;124;03mReturn an array of ones with the same shape and type as a given array.\u001b[39;00m\n\u001b[1;32m 207\u001b[0m \n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 263\u001b[0m \n\u001b[1;32m 264\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m 265\u001b[0m res \u001b[38;5;241m=\u001b[39m empty_like(a, dtype\u001b[38;5;241m=\u001b[39mdtype, order\u001b[38;5;241m=\u001b[39morder, subok\u001b[38;5;241m=\u001b[39msubok, shape\u001b[38;5;241m=\u001b[39mshape)\n\u001b[0;32m--> 266\u001b[0m \u001b[43mmultiarray\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcopyto\u001b[49m\u001b[43m(\u001b[49m\u001b[43mres\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m1\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcasting\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43munsafe\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[1;32m 267\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m res\n", + "\u001b[0;31mKeyboardInterrupt\u001b[0m: " + ] + } + ], + "source": [ + "#Pour comparer, contrainte originale (ici produit 10 tirages)\n", + "t0 = tm.time()\n", + "bayes_kwargs = { \"n_mcmc_drawn_min\" : 5000 , \"n_mcmc_drawn_max\" : 10000 }\n", + "bayes_kwargs[\"transition_type\"]=\"Fixed\"\n", + "bayes_kwargs[\"fixed_cov\"]=np.array([0.1,0.1,0.1,0.1,0.1])\n", + "climCXCB = ns.constrain_law( clim_CX , Yo , verbose = False , **bayes_kwargs )\n", + "t1 = tm.time()\n", + "total = t1-t0\n", + "print(total)\n", + "climCXCB.to_netcdf( (\"clim_CXCB.nc\") ) " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "338afd76", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "54eb3962", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "TestSDFC", + "language": "python", + "name": "testsdfc" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.0" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/test/Comparison between all variants.ipynb b/test/Comparison between all variants.ipynb new file mode 100644 index 0000000..7616520 --- /dev/null +++ b/test/Comparison between all variants.ipynb @@ -0,0 +1,439 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "0a09c73c", + "metadata": {}, + "outputs": [], + "source": [ + "import sys,os\n", + "import tarfile\n", + "import numpy as np\n", + "import pandas as pd\n", + "import xarray as xr\n", + "import time as tm\n", + "\n", + "import SDFC.link as sdl\n", + "import NSSEA as ns\n", + "import NSSEA.plot as nsp\n", + "import NSSEA.models as nsm" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "9069aca9", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'/home/barbauxo/miniconda3/envs/TestSDFC/bin/cmdstan'" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from cmdstanpy import CmdStanModel\n", + "import logging\n", + "from cmdstanpy import cmdstan_path, set_cmdstan_path\n", + "\n", + "set_cmdstan_path('/home/barbauxo/miniconda3/envs/TestSDFC/bin/cmdstan')\n", + "cmdstan_path()" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "eb1158b5", + "metadata": {}, + "outputs": [], + "source": [ + "#Useful modified\n", + "def correct_miss( X , lo = 100 , up = 350 ):##{{{\n", + "#\treturn X\n", + "\tmod = str(X.columns[0])\n", + "\tbad = np.logical_or( X < lo , X > up )\n", + "\tbad = np.logical_or( bad , np.isnan(X) )\n", + "\tbad = np.logical_or( bad , np.logical_not(np.isfinite(X)) )\n", + "\tif np.any(bad):\n", + "\t\tidx,_ = np.where(bad)\n", + "\t\tidx_co = np.copy(idx)\n", + "\t\tfor i in range(idx.size):\n", + "\t\t\tj = 0\n", + "\t\t\twhile idx[i] + j in idx:\n", + "\t\t\t\tj += 1\n", + "\t\t\tidx_co[i] += j\n", + "\t\tX.iloc[idx] = X.iloc[idx_co].values\n", + "\treturn X\n", + "##}}}\n", + "\n", + "def load_models_CMIP6(pathInp,type_data):\n", + " ## List of models X\n", + " pathInpX= os.path.join(pathInp,\"CMIP6/X\",type_data)\n", + " modelsX = [ \"_\".join(f.split(\"/\")[-1][:-3].split(\"_\")[-2:]) for f in os.listdir(pathInpX) ]\n", + " modelsX.sort()\n", + "\n", + " ## List of models Y\n", + " pathInpY= os.path.join(pathInp,\"CMIP6/Y\",type_data)\n", + " modelsY = [ \"_\".join(f.split(\"/\")[-1][:-3].split(\"_\")[-2:]) for f in os.listdir(pathInpY) ]\n", + " modelsY.sort()\n", + " models = list(set(modelsX) & set(modelsY))\n", + " models.sort()\n", + " print(models)\n", + "\n", + "\n", + " ## Load X and Y\n", + " lX = []\n", + " lY = []\n", + " if type_data== \"03_Post_treatment\":\n", + " \t\n", + " \tfor m in models:\n", + "\t\t\n", + " \t## Load X\n", + " \n", + " \tdf = xr.open_dataset( os.path.join( pathInpX , \"full_Europe_tas_YearMean_ssp585_{}.nc\".format(m) ) ,decode_times=True )\n", + " \ttime = df.time[\"time.year\"].values.astype(int)\n", + " \tX = pd.DataFrame( df.tas.values.ravel() , columns = [m] , index = time )\n", + " \t\n", + " \tlX.append( correct_miss(X , lo = -15 , up = 25))\n", + " \n", + " \t## Load Y\n", + " \tdf = xr.open_dataset( os.path.join( pathInpY , \"full_Tricastin_ssp585_{}.nc\".format(m) ) ,decode_times=True )\n", + " \ttime = df.time[\"time.year\"].values.astype(int)\n", + " \tY = pd.DataFrame( df.tasmax.values.ravel() , columns = [m] , \tindex = time )\n", + " \tlY.append( correct_miss(Y, lo = -15 , up = 25 ))\n", + " else:\n", + " \tfor m in models:\n", + "\n", + " \t## Load X\n", + " \n", + " \tdf = xr.open_dataset( os.path.join( pathInpX , \"full_Europe_tas_YearMean_ssp585_{}.nc\".format(m) ) ,decode_times=False )\n", + " \ttime = df.time.values.astype(int)\n", + " \tX = pd.DataFrame( df.tas.values.ravel() , columns = [m] , index = time )\n", + " \n", + " \tlX.append( correct_miss(X) )\n", + " \n", + " \t## Load Y\n", + " \tdf = xr.open_dataset( os.path.join( pathInpY , \"full_Tricastin_ssp585_{}.nc\".format(m) ) ,decode_times=False )\n", + " \ttime = df.time.values.astype(int)\n", + " \tY = pd.DataFrame( df.tasmax.values.ravel() , columns = [m] , \tindex = time )\n", + " \tlY.append( correct_miss(Y) )\n", + " return lX, lY,models\n", + " \n", + "\n", + "def load_obs(pathInp,type_data):\n", + " ## Load Observations\n", + " dXo = xr.open_dataset(os.path.join( pathInp ,\"Observations\",type_data,\"Xo.nc\"))\n", + " Xo = pd.DataFrame( dXo.tas.values.squeeze() , columns = [\"Xo\"] , index = dXo.time[\"time.year\"].values )\n", + "\n", + " Xo #Deja en anomalies\n", + " dYo = xr.open_dataset(os.path.join( pathInp ,\"Observations\",type_data,\"Yo.nc\"))\n", + " Yo = pd.DataFrame( dYo.TX.values.squeeze() , columns = [\"Yo\"] , index = dYo.time[\"time.year\"].values )\n", + " return Xo,Yo #en celsius" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "c9f60d44", + "metadata": {}, + "outputs": [], + "source": [ + "#Parameters\n", + "time_period = np.arange( 1850 , 2101 , 1 , dtype = int )\n", + "time_reference = np.arange( 1986 , 2016 , 1 , dtype = int )\n", + "\n", + "ci = 0.05\n", + "sample_dis=False #If want n sample of each GCM model. For graph only, not used for multisynthesis. Takes a lot of time\n", + "\n", + "#Time period of interest\n", + "T=100\n", + "T1=2000\n", + "T2=2100\n", + "deb=1850\n", + "fin=2101\n", + "\n", + "ns_law = nsm.GEV()\n", + "event = ns.Event( \"HW19\" , 2019 , time_reference , type_ = \"value\" , variable = \"TX3X\" , unit = \"K\" )\n", + "verbose = \"--not-verbose\" not in sys.argv" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "46049e24", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "['ACCESS-CM2_i1p1f1', 'ACCESS-ESM1-5_i1p1f1', 'CMCC-ESM2_i1p1f1', 'CNRM-CM6-1-HR_i1p1f2', 'CNRM-CM6-1_i1p1f2', 'CNRM-ESM2-1_i1p1f2', 'CanESM5_i1p2f1', 'EC-Earth3-CC_i1p1f1', 'EC-Earth3-Veg-LR_i1p1f1', 'EC-Earth3-Veg_i1p1f1', 'EC-Earth3_i1p1f1', 'FGOALS-g3_i1p1f1', 'GFDL-ESM4_i1p1f1', 'HadGEM3-GC31-LL_i1p1f3', 'HadGEM3-GC31-MM_i1p1f3', 'INM-CM4-8_i1p1f1', 'INM-CM5-0_i1p1f1', 'IPSL-CM6A-LR_i1p1f1', 'KACE-1-0-G_i1p1f1', 'MIROC-ES2L_i1p1f2', 'MIROC6_i1p1f1', 'MPI-ESM1-2-LR_i1p1f1', 'MRI-ESM2-0_i1p1f1', 'MRI-ESM2-0_i2p1f1', 'NESM3_i1p1f1', 'NorESM2-MM_i1p1f1', 'TaiESM1_i1p1f1', 'UKESM1-0-LL_i1p1f2']\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/tmp/ipykernel_64459/3393259602.py:5: FutureWarning: Calling float on a single element Series is deprecated and will raise a TypeError in the future. Use float(ser.iloc[0]) instead\n", + " event.value = float(Yo.loc[event.time])\n" + ] + } + ], + "source": [ + "pathInp='/home/barbauxo/Documents/Doctorat/03_Travail/2023_01 Application Tricastin/Data'\n", + "type_data=\"03_Post_treatment\" #\"02_Selected\"\n", + "lX,lY,models=load_models_CMIP6(pathInp,type_data)\n", + "Xo,Yo=load_obs(pathInp,type_data)\n", + "event.value = float(Yo.loc[event.time])" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "56ce68a3", + "metadata": {}, + "outputs": [], + "source": [ + "n_sample = 1000\n", + "verbose=False" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "a844383f", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "4260.950239181519\n" + ] + } + ], + "source": [ + "## Prior Functions (Yoann this is so slow)\n", + "##================================\n", + "t0 = tm.time()\n", + "clim = ns.Climatology( event , time_period , models ,n_sample , ns_law )\n", + "Xebm = ns.EBM().draw_sample( clim.time , n_sample + 1 , fix_first = 0 )\n", + "clim =ns.covariates_FC_GAM( clim , lX , Xebm , dof = 7 , verbose = False )\n", + "clim = ns.nslaw_fit( lY , clim , verbose = verbose ) \n", + "clim = ns.infer_multi_model( clim , verbose = verbose )\n", + "## Add constraint on X\n", + "clim_light_MM = clim.copy()\n", + "clim_light_MM.keep_models( \"Multi_Synthesis\" )\n", + "clim_CX = ns.constrain_covariate( clim_light_MM , Xo , time_reference , verbose = verbose )\n", + "t1 = tm.time()\n", + "total = t1-t0\n", + "print(total)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "96a9af31", + "metadata": {}, + "outputs": [], + "source": [ + "clim_CX.to_netcdf( \"clim_CX_test_\"+str(n_sample)+\".nc\")" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "ae9757da", + "metadata": {}, + "outputs": [], + "source": [ + "clim_CX=ns.Climatology.from_netcdf( \"clim_CX_test_\"+str(n_sample)+\".nc\" , ns_law )" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "3962e8a2", + "metadata": {}, + "outputs": [], + "source": [ + "#Metropolis Hasting Within Gibbs\n", + "t0 = tm.time()\n", + "bayes_kwargs = { \"n_mcmc_drawn_min\" : 5000 , \"n_mcmc_drawn_max\" : 10000 ,\"n_ess\" : 100, \"burn_in\" : 800 ,\"mcmc_init\":np.array([0]*5) }\n", + "bayes_kwargs[\"transition_type\"]=\"Adapt\"\n", + "bayes_kwargs[\"method_MCMC\"]=\"bayesian-experimental-mhwg-ess\"\n", + "climCXCB = ns.constrain_law( clim_CX , Yo , verbose = verbose , **bayes_kwargs )\n", + "t1 = tm.time()\n", + "total = t1-t0\n", + "print(total)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "f5b7cc3f", + "metadata": { + "scrolled": true + }, + "outputs": [], + "source": [ + "#stan version\n", + "bayes_kwargs = { \"n_ess\" : 100}#int(10000/(len(clim_CX.data.sample)-1)) } #Ici produit 10000 tirages en tout\n", + "t0 = tm.time()\n", + "climCXCB_stan_light=ns.stan_constrain(clim_CX,Yo,'stan_files/GEV_non_stationary.stan', **bayes_kwargs)\n", + "t1 = tm.time()\n", + "total = t1-t0\n", + "print(total)\n", + "climCXCB_stan_light.to_netcdf( (\"clim_CXCB_stan.nc\") ) " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "a88ca520", + "metadata": {}, + "outputs": [], + "source": [ + "#original with 100 ess\n", + "t0 = tm.time()\n", + "bayes_kwargs = { \"n_mcmc_drawn_min\" : 5000 , \"n_mcmc_drawn_max\" : 10000 ,\"n_ess\" : 100, \"burn_in\" : 800 ,\"mcmc_init\":np.array([0]*5) }\n", + "bayes_kwargs[\"transition_type\"]=\"Fixed\"\n", + "bayes_kwargs[\"method_MCMC\"]=\"bayesian-experimental-ess\"\n", + "climCXCB = ns.constrain_law( clim_CX , Yo , verbose = verbose , **bayes_kwargs )\n", + "t1 = tm.time()\n", + "total = t1-t0\n", + "print(total)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b1824c7b", + "metadata": {}, + "outputs": [], + "source": [ + "#Original" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "50012191", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/NSSEA/NSSEA/models/__AbstractModel.py:114: SyntaxWarning: invalid escape sequence '\\m'\n", + " self.name_tex = \"\\mathrm{\" + self.name + \"}\"\n" + ] + }, + { + "ename": "KeyboardInterrupt", + "evalue": "", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mKeyboardInterrupt\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[16], line 8\u001b[0m\n\u001b[1;32m 6\u001b[0m Xebm \u001b[38;5;241m=\u001b[39m ns\u001b[38;5;241m.\u001b[39mEBM()\u001b[38;5;241m.\u001b[39mdraw_sample( clim\u001b[38;5;241m.\u001b[39mtime , n_sample \u001b[38;5;241m+\u001b[39m \u001b[38;5;241m1\u001b[39m , fix_first \u001b[38;5;241m=\u001b[39m 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10\u001b[0m \u001b[38;5;66;03m## Add constraint on X\u001b[39;00m\n", + "File \u001b[0;32m~/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/NSSEA/NSSEA/__nsfit.py:156\u001b[0m, in \u001b[0;36mnslaw_fit\u001b[0;34m(lY, clim, verbose, light)\u001b[0m\n\u001b[1;32m 154\u001b[0m \tYs \u001b[38;5;241m=\u001b[39m Y\u001b[38;5;241m.\u001b[39miloc[idx]\u001b[38;5;241m.\u001b[39mvalues\n\u001b[1;32m 155\u001b[0m \tXs \u001b[38;5;241m=\u001b[39m clim\u001b[38;5;241m.\u001b[39mX\u001b[38;5;241m.\u001b[39mloc[tYs,s,\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mF\u001b[39m\u001b[38;5;124m\"\u001b[39m,model]\u001b[38;5;241m.\u001b[39mvalues\n\u001b[0;32m--> 156\u001b[0m \t\u001b[43mlaw\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfit\u001b[49m\u001b[43m(\u001b[49m\u001b[43mYs\u001b[49m\u001b[43m,\u001b[49m\u001b[43mXs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43minit\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m 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708\u001b[0m \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39moptions)\n", + "File \u001b[0;32m~/miniconda3/envs/TestSDFC/lib/python3.12/site-packages/scipy/optimize/_optimize.py:1445\u001b[0m, in \u001b[0;36m_minimize_bfgs\u001b[0;34m(fun, x0, args, jac, callback, gtol, norm, eps, maxiter, disp, return_all, finite_diff_rel_step, xrtol, **unknown_options)\u001b[0m\n\u001b[1;32m 1442\u001b[0m pk \u001b[38;5;241m=\u001b[39m \u001b[38;5;241m-\u001b[39mnp\u001b[38;5;241m.\u001b[39mdot(Hk, gfk)\n\u001b[1;32m 1443\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m 1444\u001b[0m alpha_k, fc, gc, old_fval, old_old_fval, gfkp1 \u001b[38;5;241m=\u001b[39m \\\n\u001b[0;32m-> 1445\u001b[0m \u001b[43m_line_search_wolfe12\u001b[49m\u001b[43m(\u001b[49m\u001b[43mf\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmyfprime\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mxk\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mpk\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mgfk\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1446\u001b[0m \u001b[43m \u001b[49m\u001b[43mold_fval\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mold_old_fval\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mamin\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m1e-100\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mamax\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m1e100\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[1;32m 1447\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m _LineSearchError:\n\u001b[1;32m 1448\u001b[0m \u001b[38;5;66;03m# Line search failed to find a better solution.\u001b[39;00m\n\u001b[1;32m 1449\u001b[0m warnflag \u001b[38;5;241m=\u001b[39m \u001b[38;5;241m2\u001b[39m\n", + "File \u001b[0;32m~/miniconda3/envs/TestSDFC/lib/python3.12/site-packages/scipy/optimize/_optimize.py:1215\u001b[0m, in \u001b[0;36m_line_search_wolfe12\u001b[0;34m(f, fprime, xk, pk, gfk, old_fval, old_old_fval, **kwargs)\u001b[0m\n\u001b[1;32m 1201\u001b[0m \u001b[38;5;250m\u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m 1202\u001b[0m \u001b[38;5;124;03mSame as line_search_wolfe1, but fall back to line_search_wolfe2 if\u001b[39;00m\n\u001b[1;32m 1203\u001b[0m \u001b[38;5;124;03msuitable step length is not found, and raise an exception if a\u001b[39;00m\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 1210\u001b[0m \n\u001b[1;32m 1211\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m 1213\u001b[0m extra_condition \u001b[38;5;241m=\u001b[39m kwargs\u001b[38;5;241m.\u001b[39mpop(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mextra_condition\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;28;01mNone\u001b[39;00m)\n\u001b[0;32m-> 1215\u001b[0m ret \u001b[38;5;241m=\u001b[39m \u001b[43mline_search_wolfe1\u001b[49m\u001b[43m(\u001b[49m\u001b[43mf\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mfprime\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mxk\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mpk\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mgfk\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1216\u001b[0m \u001b[43m \u001b[49m\u001b[43mold_fval\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mold_old_fval\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1217\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 1219\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m ret[\u001b[38;5;241m0\u001b[39m] \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;129;01mand\u001b[39;00m extra_condition \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m 1220\u001b[0m xp1 \u001b[38;5;241m=\u001b[39m xk \u001b[38;5;241m+\u001b[39m ret[\u001b[38;5;241m0\u001b[39m] \u001b[38;5;241m*\u001b[39m pk\n", + "File \u001b[0;32m~/miniconda3/envs/TestSDFC/lib/python3.12/site-packages/scipy/optimize/_linesearch.py:84\u001b[0m, in \u001b[0;36mline_search_wolfe1\u001b[0;34m(f, fprime, xk, pk, gfk, old_fval, old_old_fval, args, c1, c2, amax, amin, xtol)\u001b[0m\n\u001b[1;32m 80\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m np\u001b[38;5;241m.\u001b[39mdot(gval[\u001b[38;5;241m0\u001b[39m], pk)\n\u001b[1;32m 82\u001b[0m derphi0 \u001b[38;5;241m=\u001b[39m np\u001b[38;5;241m.\u001b[39mdot(gfk, pk)\n\u001b[0;32m---> 84\u001b[0m stp, fval, old_fval \u001b[38;5;241m=\u001b[39m \u001b[43mscalar_search_wolfe1\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 85\u001b[0m \u001b[43m \u001b[49m\u001b[43mphi\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mderphi\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mold_fval\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mold_old_fval\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mderphi0\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 86\u001b[0m \u001b[43m \u001b[49m\u001b[43mc1\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mc1\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mc2\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mc2\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mamax\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mamax\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mamin\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mamin\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mxtol\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mxtol\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 88\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m stp, fc[\u001b[38;5;241m0\u001b[39m], gc[\u001b[38;5;241m0\u001b[39m], fval, old_fval, gval[\u001b[38;5;241m0\u001b[39m]\n", + "File \u001b[0;32m~/miniconda3/envs/TestSDFC/lib/python3.12/site-packages/scipy/optimize/_linesearch.py:161\u001b[0m, in \u001b[0;36mscalar_search_wolfe1\u001b[0;34m(phi, derphi, phi0, old_phi0, derphi0, c1, c2, amax, amin, xtol)\u001b[0m\n\u001b[1;32m 159\u001b[0m alpha1 \u001b[38;5;241m=\u001b[39m stp\n\u001b[1;32m 160\u001b[0m phi1 \u001b[38;5;241m=\u001b[39m phi(stp)\n\u001b[0;32m--> 161\u001b[0m derphi1 \u001b[38;5;241m=\u001b[39m \u001b[43mderphi\u001b[49m\u001b[43m(\u001b[49m\u001b[43mstp\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 162\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m 163\u001b[0m \u001b[38;5;28;01mbreak\u001b[39;00m\n", + "File \u001b[0;32m~/miniconda3/envs/TestSDFC/lib/python3.12/site-packages/scipy/optimize/_linesearch.py:78\u001b[0m, in \u001b[0;36mline_search_wolfe1..derphi\u001b[0;34m(s)\u001b[0m\n\u001b[1;32m 77\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mderphi\u001b[39m(s):\n\u001b[0;32m---> 78\u001b[0m gval[\u001b[38;5;241m0\u001b[39m] \u001b[38;5;241m=\u001b[39m \u001b[43mfprime\u001b[49m\u001b[43m(\u001b[49m\u001b[43mxk\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m+\u001b[39;49m\u001b[43m \u001b[49m\u001b[43ms\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mpk\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 79\u001b[0m gc[\u001b[38;5;241m0\u001b[39m] \u001b[38;5;241m+\u001b[39m\u001b[38;5;241m=\u001b[39m \u001b[38;5;241m1\u001b[39m\n\u001b[1;32m 80\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m np\u001b[38;5;241m.\u001b[39mdot(gval[\u001b[38;5;241m0\u001b[39m], pk)\n", + "File \u001b[0;32m~/miniconda3/envs/TestSDFC/lib/python3.12/site-packages/scipy/optimize/_differentiable_functions.py:273\u001b[0m, in \u001b[0;36mScalarFunction.grad\u001b[0;34m(self, x)\u001b[0m\n\u001b[1;32m 271\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m np\u001b[38;5;241m.\u001b[39marray_equal(x, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mx):\n\u001b[1;32m 272\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_update_x_impl(x)\n\u001b[0;32m--> 273\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_update_grad\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 274\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mg\n", + "File \u001b[0;32m~/miniconda3/envs/TestSDFC/lib/python3.12/site-packages/scipy/optimize/_differentiable_functions.py:256\u001b[0m, in \u001b[0;36mScalarFunction._update_grad\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 254\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_update_grad\u001b[39m(\u001b[38;5;28mself\u001b[39m):\n\u001b[1;32m 255\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mg_updated:\n\u001b[0;32m--> 256\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_update_grad_impl\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 257\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mg_updated \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mTrue\u001b[39;00m\n", + "File \u001b[0;32m~/miniconda3/envs/TestSDFC/lib/python3.12/site-packages/scipy/optimize/_differentiable_functions.py:167\u001b[0m, in \u001b[0;36mScalarFunction.__init__..update_grad\u001b[0;34m()\u001b[0m\n\u001b[1;32m 166\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mupdate_grad\u001b[39m():\n\u001b[0;32m--> 167\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mg \u001b[38;5;241m=\u001b[39m \u001b[43mgrad_wrapped\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mx\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m~/miniconda3/envs/TestSDFC/lib/python3.12/site-packages/scipy/optimize/_differentiable_functions.py:164\u001b[0m, in \u001b[0;36mScalarFunction.__init__..grad_wrapped\u001b[0;34m(x)\u001b[0m\n\u001b[1;32m 162\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mgrad_wrapped\u001b[39m(x):\n\u001b[1;32m 163\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mngev \u001b[38;5;241m+\u001b[39m\u001b[38;5;241m=\u001b[39m \u001b[38;5;241m1\u001b[39m\n\u001b[0;32m--> 164\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m np\u001b[38;5;241m.\u001b[39matleast_1d(\u001b[43mgrad\u001b[49m\u001b[43m(\u001b[49m\u001b[43mnp\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcopy\u001b[49m\u001b[43m(\u001b[49m\u001b[43mx\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m)\u001b[49m)\n", + "File \u001b[0;32m~/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__GEV.py:333\u001b[0m, in \u001b[0;36mGEV._gradient_nlll\u001b[0;34m(self, coef)\u001b[0m\n\u001b[1;32m 332\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_gradient_nlll\u001b[39m( \u001b[38;5;28mself\u001b[39m , coef ): \u001b[38;5;66;03m##{{{\u001b[39;00m\n\u001b[0;32m--> 333\u001b[0m \t\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcoef_\u001b[49m \u001b[38;5;241m=\u001b[39m coef\n\u001b[1;32m 335\u001b[0m \t\u001b[38;5;66;03m## Parameters\u001b[39;00m\n\u001b[1;32m 336\u001b[0m \tdshape \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_Y\u001b[38;5;241m.\u001b[39mshape\n", + "File \u001b[0;32m~/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:199\u001b[0m, in \u001b[0;36mAbstractLaw.coef_\u001b[0;34m(self, coef_)\u001b[0m\n\u001b[1;32m 197\u001b[0m \u001b[38;5;129m@coef_\u001b[39m\u001b[38;5;241m.\u001b[39msetter\n\u001b[1;32m 198\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mcoef_\u001b[39m( \u001b[38;5;28mself\u001b[39m , coef_ ): \u001b[38;5;66;03m##{{{\u001b[39;00m\n\u001b[0;32m--> 199\u001b[0m \t\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_rhs\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcoef_\u001b[49m \u001b[38;5;241m=\u001b[39m coef_\n", + "File \u001b[0;32m~/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/core/__RHS.py:127\u001b[0m, in \u001b[0;36mRHS.coef_\u001b[0;34m(self, coef_)\u001b[0m\n\u001b[1;32m 124\u001b[0m \u001b[38;5;129m@coef_\u001b[39m\u001b[38;5;241m.\u001b[39msetter\n\u001b[1;32m 125\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mcoef_\u001b[39m( \u001b[38;5;28mself\u001b[39m , coef_ ):\n\u001b[1;32m 126\u001b[0m \t\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_coef_ \u001b[38;5;241m=\u001b[39m np\u001b[38;5;241m.\u001b[39marray( [coef_] )\u001b[38;5;241m.\u001b[39msqueeze()\u001b[38;5;241m.\u001b[39mreshape(\u001b[38;5;241m-\u001b[39m\u001b[38;5;241m1\u001b[39m)\n\u001b[0;32m--> 127\u001b[0m \t\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mlhs_\u001b[38;5;241m.\u001b[39mvalues_ \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43ml_global\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mtransform\u001b[49m\u001b[43m(\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcoef_\u001b[49m\u001b[43m \u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mc_global\u001b[49m\u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 128\u001b[0m \t\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mlhs_\u001b[38;5;241m.\u001b[39mjacobian_ \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39ml_global\u001b[38;5;241m.\u001b[39mjacobian( \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mcoef_ , \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mc_global )\n", + "File \u001b[0;32m~/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/link/__Multivariate.py:152\u001b[0m, in \u001b[0;36mMLTensor.transform\u001b[0;34m(self, coef, X)\u001b[0m\n\u001b[1;32m 150\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m s,l,x \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mzip\u001b[39m(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_s_p,\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_l_p,X):\n\u001b[1;32m 151\u001b[0m \tie \u001b[38;5;241m+\u001b[39m\u001b[38;5;241m=\u001b[39m s\n\u001b[0;32m--> 152\u001b[0m \tlist_p\u001b[38;5;241m.\u001b[39mappend( \u001b[43ml\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mtransform\u001b[49m\u001b[43m(\u001b[49m\u001b[43m \u001b[49m\u001b[43mcoef\u001b[49m\u001b[43m[\u001b[49m\u001b[43mib\u001b[49m\u001b[43m:\u001b[49m\u001b[43mie\u001b[49m\u001b[43m]\u001b[49m\u001b[43m \u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mx\u001b[49m\u001b[43m \u001b[49m\u001b[43m)\u001b[49m )\n\u001b[1;32m 153\u001b[0m \tib \u001b[38;5;241m+\u001b[39m\u001b[38;5;241m=\u001b[39m s\n\u001b[1;32m 154\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m list_p\n", + "File \u001b[0;32m~/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/link/__Multivariate.py:117\u001b[0m, in \u001b[0;36mMLLinear.transform\u001b[0;34m(self, coef, X)\u001b[0m\n\u001b[1;32m 116\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mtransform\u001b[39m( \u001b[38;5;28mself\u001b[39m , coef , X ):\u001b[38;5;66;03m##{{{\u001b[39;00m\n\u001b[0;32m--> 117\u001b[0m \tout \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_l\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mtransform\u001b[49m\u001b[43m(\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_linear_transform\u001b[49m\u001b[43m(\u001b[49m\u001b[43mcoef\u001b[49m\u001b[43m,\u001b[49m\u001b[43mX\u001b[49m\u001b[43m)\u001b[49m\u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 118\u001b[0m \t\u001b[38;5;28;01mreturn\u001b[39;00m out\n", + "File \u001b[0;32m~/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/link/__Univariate.py:59\u001b[0m, in \u001b[0;36mULIdentity.transform\u001b[0;34m(self, x)\u001b[0m\n\u001b[1;32m 56\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m__init__\u001b[39m( \u001b[38;5;28mself\u001b[39m ):\n\u001b[1;32m 57\u001b[0m \tUnivariateLink\u001b[38;5;241m.\u001b[39m\u001b[38;5;21m__init__\u001b[39m(\u001b[38;5;28mself\u001b[39m)\n\u001b[0;32m---> 59\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mtransform\u001b[39m( \u001b[38;5;28mself\u001b[39m , x ):\n\u001b[1;32m 60\u001b[0m \t\u001b[38;5;28;01mreturn\u001b[39;00m x\n\u001b[1;32m 62\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21minverse\u001b[39m( \u001b[38;5;28mself\u001b[39m , x ):\n", + "\u001b[0;31mKeyboardInterrupt\u001b[0m: " + ] + } + ], + "source": [ + "## Prior Functions (Yoann this is so slow)\n", + "##================================\n", + "n_sample = 10000\n", + "t0 = tm.time()\n", + "clim = ns.Climatology( event , time_period , models ,n_sample , ns_law )\n", + "Xebm = ns.EBM().draw_sample( clim.time , n_sample + 1 , fix_first = 0 )\n", + "clim =ns.covariates_FC_GAM( clim , lX , Xebm , dof = 7 , verbose = False )\n", + "clim = ns.nslaw_fit( lY , clim , verbose = verbose ) \n", + "clim = ns.infer_multi_model( clim , verbose = verbose )\n", + "## Add constraint on X\n", + "clim_light_MM = clim.copy()\n", + "clim_light_MM.keep_models( \"Multi_Synthesis\" )\n", + "clim_CX = ns.constrain_covariate( clim_light_MM , Xo , time_reference , verbose = verbose )\n", + "t1 = tm.time()\n", + "total = t1-t0\n", + "clim_CX.to_netcdf( \"clim_CX_test_\"+str(n_sample)+\".nc\")\n", + "print(total)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "64b55ab1", + "metadata": {}, + "outputs": [], + "source": [ + "#Original\n", + "clim_CX=ns.Climatology.from_netcdf( \"clim_CX_test_\"+str(n_sample)+\".nc\" , ns_law )\n", + "t0 = tm.time()\n", + "bayes_kwargs = { \"n_mcmc_drawn_min\" : 5000 , \"n_mcmc_drawn_max\" : 10000 }\n", + "bayes_kwargs[\"transition_type\"]=\"Fixed\"\n", + "bayes_kwargs[\"fixed_cov\"]=np.array([0.1,0.1,0.1,0.1,0.1])\n", + "climCXCB = ns.constrain_law( clim_CX , Yo , verbose = verbose , **bayes_kwargs )\n", + "t1 = tm.time()\n", + "total = t1-t0\n", + "print(total)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d1c738f9", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "TestSDFC", + "language": "python", + "name": "testsdfc" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.0" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/test/Find_Weird_bug.ipynb b/test/Find_Weird_bug.ipynb new file mode 100644 index 0000000..a6bd4d5 --- /dev/null +++ b/test/Find_Weird_bug.ipynb @@ -0,0 +1,38769 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "376b7340", + "metadata": {}, + "outputs": [], + "source": [ + "#Yoann normal " + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "c19c589d", + "metadata": {}, + "outputs": [], + "source": [ + "import sys,os\n", + "import tarfile\n", + "import numpy as np\n", + "import pandas as pd\n", + "import xarray as xr\n", + "import time as tm\n", + "\n", + "import SDFC.link as sdl\n", + "import NSSEA as ns\n", + "import NSSEA.plot as nsp\n", + "import NSSEA.models as nsm" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "ae7ec236", + "metadata": {}, + "outputs": [], + "source": [ + "#Useful modified\n", + "def correct_miss( X , lo = 100 , up = 350 ):##{{{\n", + "#\treturn X\n", + "\tmod = str(X.columns[0])\n", + "\tbad = np.logical_or( X < lo , X > up )\n", + "\tbad = np.logical_or( bad , np.isnan(X) )\n", + "\tbad = np.logical_or( bad , np.logical_not(np.isfinite(X)) )\n", + "\tif np.any(bad):\n", + "\t\tidx,_ = np.where(bad)\n", + "\t\tidx_co = np.copy(idx)\n", + "\t\tfor i in range(idx.size):\n", + "\t\t\tj = 0\n", + "\t\t\twhile idx[i] + j in idx:\n", + "\t\t\t\tj += 1\n", + "\t\t\tidx_co[i] += j\n", + "\t\tX.iloc[idx] = X.iloc[idx_co].values\n", + "\treturn X\n", + "##}}}\n", + "\n", + "def load_models_CMIP6(pathInp,type_data):\n", + " ## List of models X\n", + " pathInpX= os.path.join(pathInp,\"CMIP6/X\",type_data)\n", + " modelsX = [ \"_\".join(f.split(\"/\")[-1][:-3].split(\"_\")[-2:]) for f in os.listdir(pathInpX) ]\n", + " modelsX.sort()\n", + "\n", + " ## List of models Y\n", + " pathInpY= os.path.join(pathInp,\"CMIP6/Y\",type_data)\n", + " modelsY = [ \"_\".join(f.split(\"/\")[-1][:-3].split(\"_\")[-2:]) for f in os.listdir(pathInpY) ]\n", + " modelsY.sort()\n", + " models = list(set(modelsX) & set(modelsY))\n", + " models.sort()\n", + " print(models)\n", + "\n", + "\n", + " ## Load X and Y\n", + " lX = []\n", + " lY = []\n", + " if type_data== \"03_Post_treatment\":\n", + " \t\n", + " \tfor m in models:\n", + "\t\t\n", + " \t## Load X\n", + " \n", + " \tdf = xr.open_dataset( os.path.join( pathInpX , \"full_Europe_tas_YearMean_ssp585_{}.nc\".format(m) ) ,decode_times=True )\n", + " \ttime = df.time[\"time.year\"].values.astype(int)\n", + " \tX = pd.DataFrame( df.tas.values.ravel() , columns = [m] , index = time )\n", + " \t\n", + " \tlX.append( correct_miss(X , lo = -15 , up = 25))\n", + " \n", + " \t## Load Y\n", + " \tdf = xr.open_dataset( os.path.join( pathInpY , \"full_Tricastin_ssp585_{}.nc\".format(m) ) ,decode_times=True )\n", + " \ttime = df.time[\"time.year\"].values.astype(int)\n", + " \tY = pd.DataFrame( df.tasmax.values.ravel() , columns = [m] , \tindex = time )\n", + " \tlY.append( correct_miss(Y, lo = -15 , up = 25 ))\n", + " else:\n", + " \tfor m in models:\n", + "\n", + " \t## Load X\n", + " \n", + " \tdf = xr.open_dataset( os.path.join( pathInpX , \"full_Europe_tas_YearMean_ssp585_{}.nc\".format(m) ) ,decode_times=False )\n", + " \ttime = df.time.values.astype(int)\n", + " \tX = pd.DataFrame( df.tas.values.ravel() , columns = [m] , index = time )\n", + " \n", + " \tlX.append( correct_miss(X) )\n", + " \n", + " \t## Load Y\n", + " \tdf = xr.open_dataset( os.path.join( pathInpY , \"full_Tricastin_ssp585_{}.nc\".format(m) ) ,decode_times=False )\n", + " \ttime = df.time.values.astype(int)\n", + " \tY = pd.DataFrame( df.tasmax.values.ravel() , columns = [m] , \tindex = time )\n", + " \tlY.append( correct_miss(Y) )\n", + " return lX, lY,models\n", + " \n", + "\n", + "def load_obs(pathInp,type_data):\n", + " ## Load Observations\n", + " dXo = xr.open_dataset(os.path.join( pathInp ,\"Observations\",type_data,\"Xo.nc\"))\n", + " Xo = pd.DataFrame( dXo.tas.values.squeeze() , columns = [\"Xo\"] , index = dXo.time[\"time.year\"].values )\n", + "\n", + " Xo #Deja en anomalies\n", + " dYo = xr.open_dataset(os.path.join( pathInp ,\"Observations\",type_data,\"Yo.nc\"))\n", + " Yo = pd.DataFrame( dYo.TX.values.squeeze() , columns = [\"Yo\"] , index = dYo.time[\"time.year\"].values )\n", + " return Xo,Yo #en celsius" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "35ab1a85", + "metadata": {}, + "outputs": [], + "source": [ + "#Parameters\n", + "time_period = np.arange( 1850 , 2101 , 1 , dtype = int )\n", + "time_reference = np.arange( 1986 , 2016 , 1 , dtype = int )\n", + "\n", + "ci = 0.05\n", + "sample_dis=False #If want n sample of each GCM model. For graph only, not used for multisynthesis. Takes a lot of time\n", + "\n", + "#Time period of interest\n", + "T=100\n", + "T1=2000\n", + "T2=2100\n", + "deb=1850\n", + "fin=2101\n", + "\n", + "ns_law = nsm.GEV()\n", + "event = ns.Event( \"HW19\" , 2019 , time_reference , type_ = \"value\" , variable = \"TX3X\" , unit = \"K\" )\n", + "verbose = \"--not-verbose\" not in sys.argv" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "6e6f63dc", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "['ACCESS-CM2_i1p1f1', 'ACCESS-ESM1-5_i1p1f1', 'CMCC-ESM2_i1p1f1', 'CNRM-CM6-1-HR_i1p1f2', 'CNRM-CM6-1_i1p1f2', 'CNRM-ESM2-1_i1p1f2', 'CanESM5_i1p2f1', 'EC-Earth3-CC_i1p1f1', 'EC-Earth3-Veg-LR_i1p1f1', 'EC-Earth3-Veg_i1p1f1', 'EC-Earth3_i1p1f1', 'FGOALS-g3_i1p1f1', 'GFDL-ESM4_i1p1f1', 'HadGEM3-GC31-LL_i1p1f3', 'HadGEM3-GC31-MM_i1p1f3', 'INM-CM4-8_i1p1f1', 'INM-CM5-0_i1p1f1', 'IPSL-CM6A-LR_i1p1f1', 'KACE-1-0-G_i1p1f1', 'MIROC-ES2L_i1p1f2', 'MIROC6_i1p1f1', 'MPI-ESM1-2-LR_i1p1f1', 'MRI-ESM2-0_i1p1f1', 'MRI-ESM2-0_i2p1f1', 'NESM3_i1p1f1', 'NorESM2-MM_i1p1f1', 'TaiESM1_i1p1f1', 'UKESM1-0-LL_i1p1f2']\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/tmp/ipykernel_9141/1647413733.py:5: FutureWarning: Calling float on a single element Series is deprecated and will raise a TypeError in the future. Use float(ser.iloc[0]) instead\n", + " event.value = float(Yo.loc[event.time])\n" + ] + } + ], + "source": [ + "pathInp='/home/barbauxo/Documents/Doctorat/03_Travail/2023_01 Application Tricastin/Data'\n", + "type_data=\"03_Post_treatment\" #\"02_Selected\"\n", + "lX,lY,models=load_models_CMIP6(pathInp,type_data)\n", + "Xo,Yo=load_obs(pathInp,type_data)\n", + "event.value = float(Yo.loc[event.time])\n", + "\n", + "n_sample = 10\n", + "verbose=False" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "3910617e", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[[ 0.37761291 0.36326779 0.35065173 ... 0.01241002 0.00512975\n", + " -0.00403709]\n", + " [ 0.36326779 0.34994467 0.33829297 ... 0.01132488 0.00502235\n", + " -0.00374567]\n", + " [ 0.35065173 0.33829297 0.32759342 ... 0.01032501 0.00487243\n", + " -0.00345347]\n", + " ...\n", + " [ 0.01241002 0.01132488 0.01032501 ... 0.08136714 0.00109125\n", + " 0.00399153]\n", + " [ 0.00512975 0.00502235 0.00487243 ... 0.00109125 0.00987471\n", + " -0.00313046]\n", + " [-0.00403709 -0.00374567 -0.00345347 ... 0.00399153 -0.00313046\n", + " 0.01957737]]\n", + "303.45835757255554\n" + ] + } + ], + "source": [ + "## Prior Functions (Yoann this is so slow)\n", + "##================================\n", + "t0 = tm.time()\n", + "clim_Yoann = ns.Climatology( event , time_period , models ,n_sample , ns_law )\n", + "Xebm = ns.EBM().draw_sample( clim_Yoann.time , n_sample + 1 , fix_first = 0 )\n", + "clim_Yoann =ns.covariates_FC_GAM( clim_Yoann , lX , Xebm , dof = 7 , verbose = False )\n", + "clim_Yoann = ns.nslaw_fit( lY , clim_Yoann , verbose = verbose ) \n", + "clim_Yoann = ns.infer_multi_model( clim_Yoann , verbose = verbose )\n", + "## Add constraint on X\n", + "clim_light_MM_Yoann = clim_Yoann.copy()\n", + "clim_light_MM_Yoann.keep_models( \"Multi_Synthesis\" )\n", + "clim_CX_Yoann = ns.constrain_covariate( clim_light_MM_Yoann , Xo , time_reference , verbose = verbose )\n", + "t1 = tm.time()\n", + "total = t1-t0\n", + "print(total)\n", + "clim_CX_Yoann.to_netcdf( \"clim_CX_Yoann.nc\")" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "5a828248", + "metadata": {}, + "outputs": [], + "source": [ + "clim_CX_Yoann=ns.Climatology.from_netcdf( \"clim_CX_Yoann.nc\" , ns_law ) " + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "fbc39c1b", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:513: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0.548726992174584\n", + "0.6246686418213004\n", + "0.590458055643711\n", + "0.6184481648422409\n", + "0.6195353569611667\n", + "0.6277707409753008\n", + "0.617520243979388\n", + "0.6280191387559808\n", + "0.5293832599118943\n", + "0.6105037513397642\n", + "0.6190890069209721\n" + ] + } + ], + "source": [ + "bayes_kwargs = { \"n_mcmc_drawn_min\" : 5000 , \"n_mcmc_drawn_max\" : 10000 ,\"n_ess\" : 10, \"burn_in\" : 500 }\n", + "\n", + "bayes_kwargs[\"transition_type\"]=\"Adapt\"\n", + "bayes_kwargs[\"method_MCMC\"]=\"bayesian-experimental-mhwg\"\n", + "climCXCB = ns.constrain_law( clim_CX_Yoann , Yo , verbose = verbose , **bayes_kwargs )" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "7d5aa090", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "34.31058597564697\n" + ] + } + ], + "source": [ + "## Prior Functions (Light_version is faster)\n", + "##================================\n", + "light=True\n", + "t0 = tm.time()\n", + "clim_light = ns.Climatology( event , time_period , models ,n_sample , ns_law )\n", + "Xebm = ns.EBM().draw_sample( clim_light.time , n_sample + 1 , fix_first = 0 )\n", + "clim_light =ns.covariates_FC_GAM( clim_light , lX , Xebm , dof = 7 , verbose = False,light=light )\n", + "clim_light = ns.nslaw_fit( lY , clim_light , verbose = verbose,light= light ) \n", + "clim_light = ns.infer_multi_model( clim_light , verbose = verbose )\n", + "## Add constraint on X\n", + "clim_MM_light = clim_light.copy()\n", + "clim_MM_light.keep_models( \"Multi_Synthesis\" )\n", + "clim_CX_light = ns.constrain_covariate( clim_MM_light , Xo , time_reference , verbose = verbose )\n", + "t1 = tm.time()\n", + "total = t1-t0\n", + "print(total)\n", + "clim_CX_light.to_netcdf( \"clim_CX_light.nc\")" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "fd168f52", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0.6025076319232446\n", + "0.5681513513513513\n", + "0.5950492610837439\n", + "0.602870705244123\n", + "0.5938028169014085\n", + "0.6267350157728706\n", + "0.6074484944532488\n", + "0.5887853147856016\n", + "0.6032620783393056\n", + "0.5401065719360568\n", + "0.6212726939299468\n" + ] + } + ], + "source": [ + "bayes_kwargs = { \"n_mcmc_drawn_min\" : 5000 , \"n_mcmc_drawn_max\" : 10000 ,\"n_ess\" : 10, \"burn_in\" : 500 }\n", + "\n", + "bayes_kwargs[\"transition_type\"]=\"Adapt\"\n", + "bayes_kwargs[\"method_MCMC\"]=\"bayesian-experimental-mhwg\"\n", + "climCXCB = ns.constrain_law( clim_CX_light , Yo , verbose = verbose , **bayes_kwargs )" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "2f91f84b", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "448f6343", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "676104fc", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "e313a02a", + "metadata": {}, + "outputs": [], + "source": [ + "#Mine" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "8f819bf6", + "metadata": {}, + "outputs": [], + "source": [ + "from datetime import datetime\n", + "now = datetime.now()\n", + " \n", + "# dd/mm/YY H:M:S\n", + "#dt_string = now.strftime(\"%m%d%H%M\")\n", + "dt_string=\"11281101\"\n", + "np.random.seed(int(dt_string))" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "e06a6d1e", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Number of processors: 8\n" + ] + } + ], + "source": [ + "%run \"/home/barbauxo/Documents/Doctorat/03_Travail/2023_08 Clean Run/Utils/01Charge_Utils.py\"" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "655607c3", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "['ACCESS-CM2_i1p1f1', 'ACCESS-ESM1-5_i1p1f1', 'CMCC-ESM2_i1p1f1', 'CNRM-CM6-1-HR_i1p1f2', 'CNRM-CM6-1_i1p1f2', 'CNRM-ESM2-1_i1p1f2', 'CanESM5_i1p2f1', 'EC-Earth3-CC_i1p1f1', 'EC-Earth3-Veg-LR_i1p1f1', 'EC-Earth3-Veg_i1p1f1', 'EC-Earth3_i1p1f1', 'FGOALS-g3_i1p1f1', 'GFDL-ESM4_i1p1f1', 'HadGEM3-GC31-LL_i1p1f3', 'HadGEM3-GC31-MM_i1p1f3', 'INM-CM4-8_i1p1f1', 'INM-CM5-0_i1p1f1', 'IPSL-CM6A-LR_i1p1f1', 'KACE-1-0-G_i1p1f1', 'MIROC-ES2L_i1p1f2', 'MIROC6_i1p1f1', 'MPI-ESM1-2-LR_i1p1f1', 'MRI-ESM2-0_i1p1f1', 'MRI-ESM2-0_i2p1f1', 'NESM3_i1p1f1', 'NorESM2-MM_i1p1f1', 'TaiESM1_i1p1f1', 'UKESM1-0-LL_i1p1f2']\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/tmp/ipykernel_55775/2877588033.py:35: FutureWarning: Calling float on a single element Series is deprecated and will raise a TypeError in the future. Use float(ser.iloc[0]) instead\n", + " event.value = float(Yo.loc[event.time])\n" + ] + } + ], + "source": [ + "#Bayes arg\n", + "\n", + "n_sample = 100 #N tirage X\n", + "burn_in=1000\n", + "n_val_MCMC=10 #Number kept from each MCMC (Total tirages Kept =1000)\n", + "time_period = np.arange( 1850 , 2101 , 1 , dtype =int) #np.int )\n", + "time_reference = np.arange( 1986 , 2016 , 1 , dtype =int)# np.int )\n", + "\n", + "ci = 0.05\n", + "sample_dis=False #If want n sample of each GCM model. For graph only, not used for multisynthesis. Takes a lot of time\n", + "\n", + "#Time period of interest\n", + "T=100\n", + "T1=2000\n", + "T2=2100\n", + "deb=1850\n", + "fin=2101\n", + "\n", + "\n", + "## Some global parameters\n", + "##=======================\n", + "\n", + "#bayes_kwargs = { \"n_mcmc_drawn_min\" : 5000 , \"n_mcmc_drawn_max\" : 10000 }\n", + " \n", + "#test\n", + "#ns_law =nsm.GEV(shape_cst = False )\n", + "ns_law = nsm.GEV()\n", + "event = ns.Event( \"HW19\" , 2019 , time_reference , type_ = \"value\" , variable = \"TX3X\" , unit = \"K\" )\n", + "verbose = \"--not-verbose\" not in sys.argv\n", + "\n", + "#Load Data (Post-treatment and anomaly)\n", + "\n", + "lX,lY,models=load_models_CMIP6(pathInp,type_data)\n", + "Xo,Yo=load_obs(pathInp,type_data)\n", + "event.value = float(Yo.loc[event.time])\n", + "verbose= False" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "10a04cf3", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[[[-0.43705247 -0.43849886 -0.91380719 ... -0.09016614 0.17849804\n", + " -0.51347476]\n", + " [ 0. 0. 0. ... 0. 0.\n", + " 0. ]\n", + " [ 0. 0. 0. ... 0. 0.\n", + " 0. ]\n", + " ...\n", + " [ 0. 0. 0. ... 0. 0.\n", + " 0. ]\n", + " [ 0. 0. 0. ... 0. 0.\n", + " 0. ]\n", + " [ 0. 0. 0. ... 0. 0.\n", + " 0. ]]\n", + "\n", + " [[-0.44305295 -0.43684794 -0.92489502 ... -0.10465836 0.18247936\n", + " -0.51434518]\n", + " [ 0. 0. 0. ... 0. 0.\n", + " 0. ]\n", + " [ 0. 0. 0. ... 0. 0.\n", + " 0. ]\n", + " ...\n", + " [ 0. 0. 0. ... 0. 0.\n", + " 0. ]\n", + " [ 0. 0. 0. ... 0. 0.\n", + " 0. ]\n", + " [ 0. 0. 0. ... 0. 0.\n", + " 0. ]]\n", + "\n", + " [[-0.44436991 -0.43061105 -0.93371135 ... -0.11331356 0.19418479\n", + " -0.5112115 ]\n", + " [ 0. 0. 0. ... 0. 0.\n", + " 0. ]\n", + " [ 0. 0. 0. ... 0. 0.\n", + " 0. ]\n", + " ...\n", + " [ 0. 0. 0. ... 0. 0.\n", + " 0. ]\n", + " [ 0. 0. 0. ... 0. 0.\n", + " 0. ]\n", + " [ 0. 0. 0. ... 0. 0.\n", + " 0. ]]\n", + "\n", + " ...\n", + "\n", + " [[ 0.52004331 0.88666272 0.72233266 ... 0.52672477 1.02569169\n", + " 0.64440657]\n", + " [ 0. 0. 0. ... 0. 0.\n", + " 0. ]\n", + " [ 0. 0. 0. ... 0. 0.\n", + " 0. ]\n", + " ...\n", + " [ 0. 0. 0. ... 0. 0.\n", + " 0. ]\n", + " [ 0. 0. 0. ... 0. 0.\n", + " 0. ]\n", + " [ 0. 0. 0. ... 0. 0.\n", + " 0. ]]\n", + "\n", + " [[-0.02800607 -0.01001097 0.01694105 ... -0.04218924 -0.13644043\n", + " -0.02344923]\n", + " [ 0. 0. 0. ... 0. 0.\n", + " 0. ]\n", + " [ 0. 0. 0. ... 0. 0.\n", + " 0. ]\n", + " ...\n", + " [ 0. 0. 0. ... 0. 0.\n", + " 0. ]\n", + " [ 0. 0. 0. ... 0. 0.\n", + " 0. ]\n", + " [ 0. 0. 0. ... 0. 0.\n", + " 0. ]]\n", + "\n", + " [[-0.3435638 -0.24431689 -0.26334609 ... -0.19110174 -0.362662\n", + " -0.16209256]\n", + " [ 0. 0. 0. ... 0. 0.\n", + " 0. ]\n", + " [ 0. 0. 0. ... 0. 0.\n", + " 0. ]\n", + " ...\n", + " [ 0. 0. 0. ... 0. 0.\n", + " 0. ]\n", + " [ 0. 0. 0. ... 0. 0.\n", + " 0. ]\n", + " [ 0. 0. 0. ... 0. 0.\n", + " 0. ]]]\n", + "[[ 2.40164093e-01 2.39271562e-01 2.38340629e-01 ... -1.47742257e-03\n", + " -5.91728777e-03 1.19658140e-04]\n", + " [ 2.39271562e-01 2.38539359e-01 2.37769388e-01 ... -1.31582613e-03\n", + " -6.13375370e-03 2.69452069e-05]\n", + " [ 2.38340629e-01 2.37769388e-01 2.37163617e-01 ... -1.12742787e-03\n", + " -6.36194249e-03 -8.32322503e-05]\n", + " ...\n", + " [-1.47742257e-03 -1.31582613e-03 -1.12742787e-03 ... 4.22153191e-02\n", + " -7.00547297e-03 -4.80606726e-03]\n", + " [-5.91728777e-03 -6.13375370e-03 -6.36194249e-03 ... -7.00547297e-03\n", + " 3.51644727e-03 2.27372301e-03]\n", + " [ 1.19658140e-04 2.69452069e-05 -8.32322503e-05 ... -4.80606726e-03\n", + " 2.27372301e-03 4.68997585e-03]]\n", + "[-6.95346613e-01 -6.96876719e-01 -6.93177240e-01 -6.92194302e-01\n", + " -6.91781595e-01 -6.99285058e-01 -8.03108451e-01 -9.37888166e-01\n", + " -9.59613146e-01 -9.29447761e-01 -8.88418721e-01 -8.52422712e-01\n", + " -8.56933543e-01 -8.51701878e-01 -8.38015745e-01 -8.20796393e-01\n", + " -8.06178345e-01 -7.94832669e-01 -7.87126075e-01 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3.22698771,\n", + " 3.26811199, 3.30940301, 3.3508583 , 3.39247537, 3.43425223,\n", + " 3.47618645])" + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "t0 = tm.time()\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "## Define clim variable from input\n", + "##================================\n", + "clim0 = ns.Climatology( event , time_period , models ,n_sample , ns_law )\n", + "Xebm = ns.EBM().draw_sample( clim0.time , n_sample + 1 , fix_first = 0 )\n", + "clim1 =covariates_FC_GAM_pygam_light( clim0 , lX , Xebm , dof = 7 , verbose = False )\n", + "clim2 = nslaw_fit_light( lY , clim1 , verbose = verbose ) \n", + "clim3 = infer_multi_model_light( clim2 , verbose = verbose )\n", + "## Add constraint on X\n", + "clim_light_MM = clim3.copy()\n", + "clim_light_MM.keep_models( \"Multi_Synthesis\" )\n", + "clim_CX = ns.constrain_covariate( clim_light_MM , Xo , time_reference , verbose = verbose )\n", + "clim_CX.to_netcdf( (\"clim_CX_\"+dt_string+\".nc\") )\n", + "t1 = tm.time()\n", + "total = t1-t0\n", + "print(total)\n", + "clim_CX.X.loc[:,'S000',\"F\",\"Multi_Synthesis\"].values\n" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "56dcea3d", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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+       "  * time     (time) int64 1850 1851 1852 1853 1854 ... 2096 2097 2098 2099 2100\n",
+       "  * model    (model) <U15 'Multi_Synthesis'\n",
+       "  * sample   (sample) <U4 'BE' 'S000' 'S001' 'S002' ... 'S097' 'S098' 'S099'\n",
+       "  * forcing  (forcing) <U1 'F' 'C'
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value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0.5909453757555023\n", + "1.8191755647492807\n", + "0.5909453757555023\n", + "[-0.60813979 1.37096599 0.76927634 -0.02167541 -0.39030046]\n", + "2.732641188318215\n", + "\n", + "0.5870438158624515\n", + "2.7385047934592808\n", + "0.5870438158624515\n", + "[-0.00814694 1.36242318 0.49005609 0.05201397 -0.25548145]\n", + "4.942077515217667\n", + "\n", + "0.6055950169380395\n", + "5.459090040283595\n", + "0.6055950169380395\n", + "[-0.05116077 1.15031935 0.34120121 0.11643926 -0.22381582]\n", + "4.2511487166883715\n", + "\n", + "0.5774376280583343\n", + "4.665735471037953\n", + "0.5774376280583343\n", + "[-0.31692413 1.57655617 0.59869312 0.06240577 -0.26206806]\n", + "3.5456237273700126\n", + "\n", + "0.6098400441257584\n", + "5.026035578854634\n", + "0.6098400441257584\n", + "[-0.43736544 1.36525051 0.28264933 0.11473456 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"id": "63881a2a", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " Yo\n", + "1985 -0.576667\n", + "1986 -0.076667\n", + "1987 -1.176667\n", + "1988 -1.976667\n", + "1989 -1.876667\n", + "1990 1.523333\n", + "1991 -1.376667\n", + "1992 -0.676667\n", + "1993 -0.276667\n", + "1994 1.123333\n", + "1995 -0.176667\n", + "1996 -3.176667\n", + "1997 -1.476667\n", + "1998 0.223333\n", + "1999 -2.376667\n", + "2000 -0.376667\n", + "2001 -1.676667\n", + "2002 -1.076667\n", + "2003 4.623333\n", + "2004 0.823333\n", + "2005 0.723333\n", + "2006 1.923333\n", + "2007 0.023333\n", + "2008 -1.176667\n", + "2009 1.923333\n", + "2010 0.323333\n", + "2011 2.323333\n", + "2012 2.523333\n", + "2013 0.023333\n", + "2014 -0.676667\n", + "2015 1.523333\n", + "2016 -1.176667\n", + "2017 1.823333\n", + "2018 1.923333\n", + "2019 4.223333\n", + "2020 3.523333\n", + "2021 1.623333\n", + "[-0.61895613 -0.57398417 -0.52547087 -0.4717205 -0.41577954 -0.36934543\n", + " -0.42533503 -0.59835366 -0.58171657 -0.50582748 -0.42108216 -0.34456492\n", + " -0.2735798 -0.20379488 -0.1371408 -0.07620368 -0.0223931 0.02670841\n", + " 0.06535206 0.10335034 0.13739232 0.17955493 0.22099703 0.26203847\n", + " 0.30292159 0.34383038 0.38490478 0.42625144 0.46795184 0.51006832\n", + " 0.55264867 0.5957296 0.63933932 0.6834994 0.72822621 0.77353225\n", + " 0.819427 ]\n", + "-37.31133889024956\n", + "\n", + " Yo\n", + "1985 -0.576667\n", + "1986 -0.076667\n", + "1987 -1.176667\n", + "1988 -1.976667\n", + "1989 -1.876667\n", + "1990 1.523333\n", + "1991 -1.376667\n", + "1992 -0.676667\n", + "1993 -0.276667\n", + "1994 1.123333\n", + "1995 -0.176667\n", + "1996 -3.176667\n", + "1997 -1.476667\n", + "1998 0.223333\n", + "1999 -2.376667\n", + "2000 -0.376667\n", + "2001 -1.676667\n", + "2002 -1.076667\n", + "2003 4.623333\n", + "2004 0.823333\n", + "2005 0.723333\n", + "2006 1.923333\n", + "2007 0.023333\n", + "2008 -1.176667\n", + "2009 1.923333\n", + "2010 0.323333\n", + "2011 2.323333\n", + "2012 2.523333\n", + "2013 0.023333\n", + "2014 -0.676667\n", + "2015 1.523333\n", + "2016 -1.176667\n", + "2017 1.823333\n", + "2018 1.923333\n", + "2019 4.223333\n", + "2020 3.523333\n", + "2021 1.623333\n", + "[-2.24563885e+21 1.10124851e+20 -1.19939714e+20 6.80485022e+19\n", + " -1.13109337e+20 1.79216466e+21 -7.96933355e+19 -2.35684596e+21\n", + " -1.46436258e+21 -1.12211771e+21 -1.07900686e+21 4.14947653e+20\n", + " -8.18519585e+19 -2.74396329e+20 -2.82078268e+20 2.22786477e+20\n", + " 9.52984457e+20 2.16076204e+20 4.19412680e+20 1.13680831e+21\n", + " 8.83468864e+20 1.60668744e+21 2.06850531e+20 1.30308658e+21\n", + " 1.27915617e+21 2.97331330e+20 2.03646799e+20 3.63638575e+21\n", + " -1.41044297e+20 -5.37875925e+20 -7.65254025e+20 1.89298588e+21\n", + " 2.05133393e+21 8.41420007e+20 -1.44845360e+20 -2.72515020e+21\n", + " 1.19518876e+21]\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/link/__Univariate.py:90: RuntimeWarning: invalid value encountered in log\n", + " return np.log(x - self.b) / self.s\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/link/__Univariate.py:87: RuntimeWarning: overflow encountered in exp\n", + " return np.exp( self.s * x) + self.b\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/link/__Univariate.py:93: RuntimeWarning: overflow encountered in exp\n", + " return self.s * np.exp(self.s * x)\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:221: RuntimeWarning: overflow encountered in multiply\n", + " if n_it % 100 == 0: cov_ *= 2\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/NSSEA/NSSEA/models/__AbstractModel.py:114: SyntaxWarning: invalid escape sequence '\\m'\n", + " self.name_tex = \"\\mathrm{\" + self.name + \"}\"\n" + ] + }, + { + "ename": "LinAlgError", + "evalue": "SVD did not converge", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mLinAlgError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[12], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m clim_CXCB_MHWG\u001b[38;5;241m=\u001b[39m\u001b[43mconstrain_MCMC_MHWG_law_all\u001b[49m\u001b[43m(\u001b[49m\u001b[43m \u001b[49m\u001b[43mclim_CX\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mYo\u001b[49m\u001b[43m,\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43m \u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43mTransitionAdapt\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mTrue\u001b[39;49;00m\u001b[43m,\u001b[49m\u001b[43mn_sortie\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mn_val_MCMC\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m~/Documents/Doctorat/03_Travail/2023_08 Clean Run/Utils/NSSEA_Deroule.py:437\u001b[0m, in \u001b[0;36mconstrain_MCMC_MHWG_law_all\u001b[0;34m(clim, Yo, pathOut, model_name, tran_scale_G, TransitionAdapt, initTrans, epsilon, n_sortie, burn_in, verbose, **kwargs)\u001b[0m\n\u001b[1;32m 435\u001b[0m \u001b[38;5;28mprint\u001b[39m(Yo)\n\u001b[1;32m 436\u001b[0m \u001b[38;5;28mprint\u001b[39m(X)\n\u001b[0;32m--> 437\u001b[0m \u001b[43mns_law\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfit\u001b[49m\u001b[43m(\u001b[49m\u001b[43mYo\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mvalues\u001b[49m\u001b[43m,\u001b[49m\u001b[43mX\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 439\u001b[0m MLE_theta\u001b[38;5;241m=\u001b[39mns_law\u001b[38;5;241m.\u001b[39mget_params()\n\u001b[1;32m 440\u001b[0m sdlaw\u001b[38;5;241m=\u001b[39mcreate_likelihood(X,Yo\u001b[38;5;241m.\u001b[39mvalues)\n", + "File \u001b[0;32m~/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/NSSEA/NSSEA/models/__AbstractModel.py:182\u001b[0m, in \u001b[0;36mAbstractModel.fit\u001b[0;34m(self, Y, X)\u001b[0m\n\u001b[1;32m 180\u001b[0m sdkwargs \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_get_sdkwargs(X)\n\u001b[1;32m 181\u001b[0m sdlaw \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39msdlaw( method \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mMLE\u001b[39m\u001b[38;5;124m\"\u001b[39m )\n\u001b[0;32m--> 182\u001b[0m \u001b[43msdlaw\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfit\u001b[49m\u001b[43m(\u001b[49m\u001b[43m \u001b[49m\u001b[43mY\u001b[49m\u001b[43m \u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43msdkwargs\u001b[49m\u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 183\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mset_params(sdlaw\u001b[38;5;241m.\u001b[39mcoef_)\n", + "File \u001b[0;32m~/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:371\u001b[0m, in \u001b[0;36mAbstractLaw.fit\u001b[0;34m(self, Y, **kwargs)\u001b[0m\n\u001b[1;32m 369\u001b[0m \t\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_special_fit()\n\u001b[1;32m 370\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_method \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mmle\u001b[39m\u001b[38;5;124m\"\u001b[39m :\n\u001b[0;32m--> 371\u001b[0m \t\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_fit_MLE\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 372\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_method \u001b[38;5;241m==\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mbayesian-experimental-mhwg\u001b[39m\u001b[38;5;124m\"\u001b[39m:\n\u001b[1;32m 373\u001b[0m \t\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_fit_Bayesian_MHWG(\u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n", + "File \u001b[0;32m~/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:248\u001b[0m, in \u001b[0;36mAbstractLaw._fit_MLE\u001b[0;34m(self, **kwargs)\u001b[0m\n\u001b[1;32m 246\u001b[0m \tis_success \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39minfo_\u001b[38;5;241m.\u001b[39mmle_optim_result\u001b[38;5;241m.\u001b[39msuccess\n\u001b[1;32m 247\u001b[0m \t\u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m is_success:\n\u001b[0;32m--> 248\u001b[0m \t\t\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_random_valid_point\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 249\u001b[0m \tn_test \u001b[38;5;241m+\u001b[39m\u001b[38;5;241m=\u001b[39m \u001b[38;5;241m1\u001b[39m\n\u001b[1;32m 251\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m is_success:\n", + "File \u001b[0;32m~/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:222\u001b[0m, in \u001b[0;36mAbstractLaw._random_valid_point\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 220\u001b[0m \u001b[38;5;28;01mwhile\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m (np\u001b[38;5;241m.\u001b[39misfinite(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_negloglikelihood(p_coef)) \u001b[38;5;129;01mand\u001b[39;00m np\u001b[38;5;241m.\u001b[39mall(np\u001b[38;5;241m.\u001b[39misfinite(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_gradient_nlll(p_coef))) ):\n\u001b[1;32m 221\u001b[0m \t\u001b[38;5;28;01mif\u001b[39;00m n_it \u001b[38;5;241m%\u001b[39m \u001b[38;5;241m100\u001b[39m \u001b[38;5;241m==\u001b[39m \u001b[38;5;241m0\u001b[39m: cov_ \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m=\u001b[39m \u001b[38;5;241m2\u001b[39m\n\u001b[0;32m--> 222\u001b[0m \tp_coef \u001b[38;5;241m=\u001b[39m \u001b[43mnp\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mrandom\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mmultivariate_normal\u001b[49m\u001b[43m(\u001b[49m\u001b[43m \u001b[49m\u001b[43mcoef_\u001b[49m\u001b[43m \u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcov_\u001b[49m\u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 223\u001b[0m \tn_it \u001b[38;5;241m+\u001b[39m\u001b[38;5;241m=\u001b[39m \u001b[38;5;241m1\u001b[39m\n\u001b[1;32m 224\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mcoef_ \u001b[38;5;241m=\u001b[39m p_coef\n", + "File \u001b[0;32mnumpy/random/mtrand.pyx:4235\u001b[0m, in \u001b[0;36mnumpy.random.mtrand.RandomState.multivariate_normal\u001b[0;34m()\u001b[0m\n", + "File \u001b[0;32m~/miniconda3/envs/TestSDFC/lib/python3.12/site-packages/numpy/linalg/linalg.py:1681\u001b[0m, in \u001b[0;36msvd\u001b[0;34m(a, full_matrices, compute_uv, hermitian)\u001b[0m\n\u001b[1;32m 1678\u001b[0m gufunc \u001b[38;5;241m=\u001b[39m _umath_linalg\u001b[38;5;241m.\u001b[39msvd_n_s\n\u001b[1;32m 1680\u001b[0m signature \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mD->DdD\u001b[39m\u001b[38;5;124m'\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m isComplexType(t) \u001b[38;5;28;01melse\u001b[39;00m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124md->ddd\u001b[39m\u001b[38;5;124m'\u001b[39m\n\u001b[0;32m-> 1681\u001b[0m u, s, vh \u001b[38;5;241m=\u001b[39m \u001b[43mgufunc\u001b[49m\u001b[43m(\u001b[49m\u001b[43ma\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43msignature\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43msignature\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mextobj\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mextobj\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 1682\u001b[0m u \u001b[38;5;241m=\u001b[39m u\u001b[38;5;241m.\u001b[39mastype(result_t, copy\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mFalse\u001b[39;00m)\n\u001b[1;32m 1683\u001b[0m s \u001b[38;5;241m=\u001b[39m s\u001b[38;5;241m.\u001b[39mastype(_realType(result_t), copy\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mFalse\u001b[39;00m)\n", + "File \u001b[0;32m~/miniconda3/envs/TestSDFC/lib/python3.12/site-packages/numpy/linalg/linalg.py:121\u001b[0m, in \u001b[0;36m_raise_linalgerror_svd_nonconvergence\u001b[0;34m(err, flag)\u001b[0m\n\u001b[1;32m 120\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_raise_linalgerror_svd_nonconvergence\u001b[39m(err, flag):\n\u001b[0;32m--> 121\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m LinAlgError(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mSVD did not converge\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n", + "\u001b[0;31mLinAlgError\u001b[0m: SVD did not converge" + ] + }, + { + "data": { + "image/png": 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", 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rows x 1 columns]]" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "lX" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "44a9e233", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([ 1.60667173e+21, -4.55214586e+21, 4.04192454e+21, -5.29680375e+20,\n", + " -1.35133134e+22, 8.09773821e+21, -3.48788228e+21, 3.87102671e+21,\n", + " 5.08453165e+21, -1.73871859e+22, 2.01720882e+21, -2.99109822e+21,\n", + " -3.04467735e+21, -4.92932545e+20, -4.75493043e+21, -2.05071186e+22,\n", + " 1.19205307e+22, -6.79199217e+20, 1.02812794e+22, 2.05465623e+21,\n", + " -6.24779968e+21, 1.46329384e+22, -1.56876210e+22, 1.94525038e+22,\n", + " 4.90798420e+21, 3.30774972e+21, 2.10609305e+21, 7.14481520e+21,\n", + " -1.16132763e+21, -8.13864907e+21, -7.49003667e+21, -3.46080833e+21,\n", + " 1.52968702e+21, -2.95002294e+20, 1.58733469e+22, -3.53868115e+21,\n", + " 3.35796343e+21, -1.47679972e+22, 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+       "  * time     (time) int64 1850 1851 1852 1853 1854 ... 2096 2097 2098 2099 2100\n",
+       "  * model    (model) <U23 'ACCESS-CM2_i1p1f1' ... 'UKESM1-0-LL_i1p1f2'\n",
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* time (time) int64 1850 1851 1852 1853 1854 ... 2096 2097 2098 2099 2100\n", + " * model (model) )" + ] + }, + "execution_count": 29, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "mpl.pyplot.hist(np.random.default_rng().normal(size = mmodel.mean.size))\n" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "0140fc51", + "metadata": {}, + "outputs": [ + { + "ename": "KeyError", + "evalue": "\"not all values found in index 'model'. Try setting the `method` keyword argument (example: method='nearest').\"", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mKeyError\u001b[0m Traceback (most recent call last)", + "File \u001b[0;32m~/miniconda3/envs/TestSDFC/lib/python3.12/site-packages/pandas/core/indexes/base.py:3790\u001b[0m, in \u001b[0;36mIndex.get_loc\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m 3789\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m-> 3790\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_engine\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget_loc\u001b[49m\u001b[43m(\u001b[49m\u001b[43mcasted_key\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 3791\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mKeyError\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m err:\n", + "File \u001b[0;32mindex.pyx:152\u001b[0m, in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc\u001b[0;34m()\u001b[0m\n", + "File \u001b[0;32mindex.pyx:181\u001b[0m, in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc\u001b[0;34m()\u001b[0m\n", + "File \u001b[0;32mpandas/_libs/hashtable_class_helper.pxi:7080\u001b[0m, in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable.get_item\u001b[0;34m()\u001b[0m\n", + "File \u001b[0;32mpandas/_libs/hashtable_class_helper.pxi:7088\u001b[0m, in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable.get_item\u001b[0;34m()\u001b[0m\n", + "\u001b[0;31mKeyError\u001b[0m: 'Multi_Synthesis'", + "\nThe above exception was the direct cause of the following exception:\n", + "\u001b[0;31mKeyError\u001b[0m Traceback (most recent call last)", + "File \u001b[0;32m~/miniconda3/envs/TestSDFC/lib/python3.12/site-packages/xarray/core/indexes.py:772\u001b[0m, in \u001b[0;36mPandasIndex.sel\u001b[0;34m(self, labels, method, tolerance)\u001b[0m\n\u001b[1;32m 771\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 772\u001b[0m indexer \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mindex\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget_loc\u001b[49m\u001b[43m(\u001b[49m\u001b[43mlabel_value\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 773\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mKeyError\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m e:\n", + "File \u001b[0;32m~/miniconda3/envs/TestSDFC/lib/python3.12/site-packages/pandas/core/indexes/base.py:3797\u001b[0m, in \u001b[0;36mIndex.get_loc\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m 3796\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m InvalidIndexError(key)\n\u001b[0;32m-> 3797\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mKeyError\u001b[39;00m(key) \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01merr\u001b[39;00m\n\u001b[1;32m 3798\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mTypeError\u001b[39;00m:\n\u001b[1;32m 3799\u001b[0m \u001b[38;5;66;03m# If we have a listlike key, _check_indexing_error will raise\u001b[39;00m\n\u001b[1;32m 3800\u001b[0m \u001b[38;5;66;03m# InvalidIndexError. Otherwise we fall through and re-raise\u001b[39;00m\n\u001b[1;32m 3801\u001b[0m \u001b[38;5;66;03m# the TypeError.\u001b[39;00m\n", + "\u001b[0;31mKeyError\u001b[0m: 'Multi_Synthesis'", + "\nThe above exception was the direct cause of the following exception:\n", + "\u001b[0;31mKeyError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[14], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43mclim1\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mX\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mloc\u001b[49m\u001b[43m[\u001b[49m\u001b[43m:\u001b[49m\u001b[43m,\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mS002\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mF\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mMulti_Synthesis\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m]\u001b[49m\u001b[38;5;241m.\u001b[39mvalues\n", + "File \u001b[0;32m~/miniconda3/envs/TestSDFC/lib/python3.12/site-packages/xarray/core/dataarray.py:226\u001b[0m, in \u001b[0;36m_LocIndexer.__getitem__\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m 224\u001b[0m labels \u001b[38;5;241m=\u001b[39m indexing\u001b[38;5;241m.\u001b[39mexpanded_indexer(key, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mdata_array\u001b[38;5;241m.\u001b[39mndim)\n\u001b[1;32m 225\u001b[0m key \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mdict\u001b[39m(\u001b[38;5;28mzip\u001b[39m(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mdata_array\u001b[38;5;241m.\u001b[39mdims, labels))\n\u001b[0;32m--> 226\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdata_array\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msel\u001b[49m\u001b[43m(\u001b[49m\u001b[43mkey\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m~/miniconda3/envs/TestSDFC/lib/python3.12/site-packages/xarray/core/dataarray.py:1617\u001b[0m, in \u001b[0;36mDataArray.sel\u001b[0;34m(self, indexers, method, tolerance, drop, **indexers_kwargs)\u001b[0m\n\u001b[1;32m 1501\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21msel\u001b[39m(\n\u001b[1;32m 1502\u001b[0m \u001b[38;5;28mself\u001b[39m,\n\u001b[1;32m 1503\u001b[0m indexers: Mapping[Any, Any] \u001b[38;5;241m|\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m,\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 1507\u001b[0m \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mindexers_kwargs: Any,\n\u001b[1;32m 1508\u001b[0m ) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m Self:\n\u001b[1;32m 1509\u001b[0m \u001b[38;5;250m \u001b[39m\u001b[38;5;124;03m\"\"\"Return a new DataArray whose data is given by selecting index\u001b[39;00m\n\u001b[1;32m 1510\u001b[0m \u001b[38;5;124;03m labels along the specified dimension(s).\u001b[39;00m\n\u001b[1;32m 1511\u001b[0m \n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 1615\u001b[0m \u001b[38;5;124;03m Dimensions without coordinates: points\u001b[39;00m\n\u001b[1;32m 1616\u001b[0m \u001b[38;5;124;03m \"\"\"\u001b[39;00m\n\u001b[0;32m-> 1617\u001b[0m ds \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_to_temp_dataset\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msel\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 1618\u001b[0m \u001b[43m \u001b[49m\u001b[43mindexers\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mindexers\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1619\u001b[0m \u001b[43m \u001b[49m\u001b[43mdrop\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdrop\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1620\u001b[0m \u001b[43m \u001b[49m\u001b[43mmethod\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mmethod\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1621\u001b[0m \u001b[43m \u001b[49m\u001b[43mtolerance\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mtolerance\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1622\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mindexers_kwargs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1623\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 1624\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_from_temp_dataset(ds)\n", + "File \u001b[0;32m~/miniconda3/envs/TestSDFC/lib/python3.12/site-packages/xarray/core/dataset.py:3074\u001b[0m, in \u001b[0;36mDataset.sel\u001b[0;34m(self, indexers, method, tolerance, drop, **indexers_kwargs)\u001b[0m\n\u001b[1;32m 3006\u001b[0m \u001b[38;5;250m\u001b[39m\u001b[38;5;124;03m\"\"\"Returns a new dataset with each array indexed by tick labels\u001b[39;00m\n\u001b[1;32m 3007\u001b[0m \u001b[38;5;124;03malong the specified dimension(s).\u001b[39;00m\n\u001b[1;32m 3008\u001b[0m \n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 3071\u001b[0m \n\u001b[1;32m 3072\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m 3073\u001b[0m indexers \u001b[38;5;241m=\u001b[39m either_dict_or_kwargs(indexers, indexers_kwargs, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124msel\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m-> 3074\u001b[0m query_results \u001b[38;5;241m=\u001b[39m \u001b[43mmap_index_queries\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 3075\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mindexers\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mindexers\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmethod\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mmethod\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mtolerance\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mtolerance\u001b[49m\n\u001b[1;32m 3076\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 3078\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m drop:\n\u001b[1;32m 3079\u001b[0m no_scalar_variables \u001b[38;5;241m=\u001b[39m {}\n", + "File \u001b[0;32m~/miniconda3/envs/TestSDFC/lib/python3.12/site-packages/xarray/core/indexing.py:193\u001b[0m, in \u001b[0;36mmap_index_queries\u001b[0;34m(obj, indexers, method, tolerance, **indexers_kwargs)\u001b[0m\n\u001b[1;32m 191\u001b[0m results\u001b[38;5;241m.\u001b[39mappend(IndexSelResult(labels))\n\u001b[1;32m 192\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m--> 193\u001b[0m results\u001b[38;5;241m.\u001b[39mappend(\u001b[43mindex\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msel\u001b[49m\u001b[43m(\u001b[49m\u001b[43mlabels\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43moptions\u001b[49m\u001b[43m)\u001b[49m)\n\u001b[1;32m 195\u001b[0m merged \u001b[38;5;241m=\u001b[39m merge_sel_results(results)\n\u001b[1;32m 197\u001b[0m \u001b[38;5;66;03m# drop dimension coordinates found in dimension indexers\u001b[39;00m\n\u001b[1;32m 198\u001b[0m \u001b[38;5;66;03m# (also drop multi-index if any)\u001b[39;00m\n\u001b[1;32m 199\u001b[0m \u001b[38;5;66;03m# (.sel() already ensures alignment)\u001b[39;00m\n", + "File \u001b[0;32m~/miniconda3/envs/TestSDFC/lib/python3.12/site-packages/xarray/core/indexes.py:774\u001b[0m, in \u001b[0;36mPandasIndex.sel\u001b[0;34m(self, labels, method, tolerance)\u001b[0m\n\u001b[1;32m 772\u001b[0m indexer \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mindex\u001b[38;5;241m.\u001b[39mget_loc(label_value)\n\u001b[1;32m 773\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mKeyError\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m e:\n\u001b[0;32m--> 774\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mKeyError\u001b[39;00m(\n\u001b[1;32m 775\u001b[0m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mnot all values found in index \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mcoord_name\u001b[38;5;132;01m!r}\u001b[39;00m\u001b[38;5;124m. \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 776\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mTry setting the `method` keyword argument (example: method=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mnearest\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m).\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 777\u001b[0m ) \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01me\u001b[39;00m\n\u001b[1;32m 779\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m label_array\u001b[38;5;241m.\u001b[39mdtype\u001b[38;5;241m.\u001b[39mkind \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mb\u001b[39m\u001b[38;5;124m\"\u001b[39m:\n\u001b[1;32m 780\u001b[0m indexer \u001b[38;5;241m=\u001b[39m label_array\n", + "\u001b[0;31mKeyError\u001b[0m: \"not all values found in index 'model'. Try setting the `method` keyword argument (example: method='nearest').\"" + ] + } + ], + "source": [ + "clim1.X.loc[:,'S002',\"F\",\"Multi_Synthesis\"].values" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "89fe472f", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "clim3" + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "id": "194d0ab4", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([ -315685.29426026, 43612.15040269, -6625.05170352,\n", + " -96079.27460001, 310367.56000154, 527768.13704653,\n", + " -127367.52025522, -643883.98025824, 411406.13940072,\n", + " -165461.25810763, -220275.20395218, 265496.31125338,\n", + " 228746.71409079, 482184.38465033, -172574.58395118,\n", + " -280112.14320179, 43121.53007511, 194583.09745653,\n", + " 432967.11747395, -234705.27104467, 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-1.29230467e+21,\n", + " 9.56744659e+21, -3.49307814e+21, -7.46477483e+21, 6.62985212e+21,\n", + " -6.17161709e+21, -4.77122812e+20, 1.27727278e+22, -2.25069889e+21,\n", + " 5.98796505e+21, 1.95524362e+21, 9.59703372e+21, -6.13304132e+21,\n", + " -8.37776800e+21, 3.10266403e+21, -7.22777085e+21, -1.33549155e+21,\n", + " 2.63380716e+20, -2.73106270e+21, 1.44901259e+21, 2.19196327e+21,\n", + " -4.59004724e+21, 3.17796501e+21, -4.11110241e+21, 7.04294018e+21,\n", + " 2.62887312e+21, -1.03916916e+20, 1.02143404e+21, -3.67975023e+21,\n", + " 9.34023449e+21, 8.92813354e+20, -1.30461099e+22, -4.59146311e+21,\n", + " 7.37587534e+21, -2.69695894e+21, 3.18065197e+21, -4.49493076e+21,\n", + " -5.22386968e+21, -9.77057729e+21, -7.26681669e+20, 1.87875475e+21,\n", + " 1.34243881e+22, 4.21066680e+21, 1.68875170e+22, -3.77333742e+21,\n", + " -1.32244175e+22, 1.55649840e+21, -2.80402706e+21])" + ] + }, + "execution_count": 34, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "clim_CX_Yoann.X.loc[:,'S00',\"F\",\"Multi_Synthesis\"].values" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "id": "710d610c", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array(['BE', 'S00', 'S01', 'S02', 'S03', 'S04', 'S05', 'S06', 'S07',\n", + " 'S08', 'S09'], dtype=' 1\u001b[0m \u001b[43mXebm\u001b[49m \n", + "\u001b[0;31mNameError\u001b[0m: name 'Xebm' is not defined" + ] + } + ], + "source": [ + "Xebm " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "61930db8", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "TestSDFC", + "language": "python", + "name": "testsdfc" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.0" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/test/ParaComp_ .pdf b/test/ParaComp_ .pdf new file mode 100644 index 0000000..9ca0873 Binary files /dev/null and b/test/ParaComp_ .pdf differ diff --git a/test/Table_ .txt b/test/Table_ .txt new file mode 100644 index 0000000..c20bb5f --- /dev/null +++ b/test/Table_ .txt @@ -0,0 +1,15 @@ +Total acceptation rate is 0.5718281718281718 +Total number of effective samples is 185.01475756564045 +╒═════════════╤════════════╤═══════════╤════════════╤════════════╤════════════╤════════════╤══════════════╤════════════════════╕ +│ Paramètre │ Prior │ MLE │ Q_0.05 │ Médiane │ Moyenne │ Q_0.95 │ eff sample │ acceptation rate │ +╞═════════════╪════════════╪═══════════╪════════════╪════════════╪════════════╪════════════╪══════════════╪════════════════════╡ +│ loc0 │ -0.300208 │ -0.39216 │ -0.630162 │ -0.333428 │ -0.323542 │ -0.0307687 │ 128.512 │ 0.6004 │ +├─────────────┼────────────┼───────────┼────────────┼────────────┼────────────┼────────────┼──────────────┼────────────────────┤ +│ loc1 │ 1.28525 │ 2.04229 │ 1.05507 │ 1.35073 │ 1.35588 │ 1.67429 │ 154.668 │ 0.605395 │ +├─────────────┼────────────┼───────────┼────────────┼────────────┼────────────┼────────────┼──────────────┼────────────────────┤ +│ scale0 │ 0.512018 │ 0.329588 │ 0.285554 │ 0.451617 │ 0.449179 │ 0.617433 │ 100.532 │ 0.595405 │ +├─────────────┼────────────┼───────────┼────────────┼────────────┼────────────┼────────────┼──────────────┼────────────────────┤ +│ scale1 │ 0.0235564 │ 0.161119 │ -0.0341218 │ 0.0440697 │ 0.0423988 │ 0.11501 │ 76.714 │ 0.508492 │ +├─────────────┼────────────┼───────────┼────────────┼────────────┼────────────┼────────────┼──────────────┼────────────────────┤ +│ shape0 │ -0.247338 │ -0.16889 │ -0.296148 │ -0.218938 │ -0.219548 │ -0.140252 │ 111.805 │ 0.549451 │ +╘═════════════╧════════════╧═══════════╧════════════╧════════════╧════════════╧════════════╧══════════════╧════════════════════╛ \ No newline at end of file diff --git a/test/Test_OB_Addons.ipynb b/test/Test_OB_Addons.ipynb new file mode 100644 index 0000000..2d5a855 --- /dev/null +++ b/test/Test_OB_Addons.ipynb @@ -0,0 +1,3140 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "774066da", + "metadata": {}, + "outputs": [], + "source": [ + "import sys,os\n", + "import tarfile\n", + "import numpy as np\n", + "import pandas as pd\n", + "import xarray as xr\n", + "import time as tm\n", + "\n", + "import SDFC.link as sdl\n", + "import NSSEA as ns\n", + "import NSSEA.plot as nsp\n", + "import NSSEA.models as nsm\n" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "e7b3354f", + "metadata": {}, + "outputs": [], + "source": [ + "#Useful modified\n", + "def correct_miss( X , lo = 100 , up = 350 ):##{{{\n", + "#\treturn X\n", + "\tmod = str(X.columns[0])\n", + "\tbad = np.logical_or( X < lo , X > up )\n", + "\tbad = np.logical_or( bad , np.isnan(X) )\n", + "\tbad = np.logical_or( bad , np.logical_not(np.isfinite(X)) )\n", + "\tif np.any(bad):\n", + "\t\tidx,_ = np.where(bad)\n", + "\t\tidx_co = np.copy(idx)\n", + "\t\tfor i in range(idx.size):\n", + "\t\t\tj = 0\n", + "\t\t\twhile idx[i] + j in idx:\n", + "\t\t\t\tj += 1\n", + "\t\t\tidx_co[i] += j\n", + "\t\tX.iloc[idx] = X.iloc[idx_co].values\n", + "\treturn X\n", + "##}}}\n", + "\n", + "def load_models_CMIP6(pathInp,type_data):\n", + " ## List of models X\n", + " pathInpX= os.path.join(pathInp,\"CMIP6/X\",type_data)\n", + " modelsX = [ \"_\".join(f.split(\"/\")[-1][:-3].split(\"_\")[-2:]) for f in os.listdir(pathInpX) ]\n", + " modelsX.sort()\n", + "\n", + " ## List of models Y\n", + " pathInpY= os.path.join(pathInp,\"CMIP6/Y\",type_data)\n", + " modelsY = [ \"_\".join(f.split(\"/\")[-1][:-3].split(\"_\")[-2:]) for f in os.listdir(pathInpY) ]\n", + " modelsY.sort()\n", + " models = list(set(modelsX) & set(modelsY))\n", + " models.sort()\n", + " print(models)\n", + "\n", + "\n", + " ## Load X and Y\n", + " lX = []\n", + " lY = []\n", + " if type_data== \"03_Post_treatment\":\n", + " \t\n", + " \tfor m in models:\n", + "\t\t\n", + " \t## Load X\n", + " \n", + " \tdf = xr.open_dataset( os.path.join( pathInpX , \"full_Europe_tas_YearMean_ssp585_{}.nc\".format(m) ) ,decode_times=True )\n", + " \ttime = df.time[\"time.year\"].values.astype(int)\n", + " \tX = pd.DataFrame( df.tas.values.ravel() , columns = [m] , index = time )\n", + " \t\n", + " \tlX.append( correct_miss(X , lo = -15 , up = 25))\n", + " \n", + " \t## Load Y\n", + " \tdf = xr.open_dataset( os.path.join( pathInpY , \"full_Tricastin_ssp585_{}.nc\".format(m) ) ,decode_times=True )\n", + " \ttime = df.time[\"time.year\"].values.astype(int)\n", + " \tY = pd.DataFrame( df.tasmax.values.ravel() , columns = [m] , \tindex = time )\n", + " \tlY.append( correct_miss(Y, lo = -15 , up = 25 ))\n", + " else:\n", + " \tfor m in models:\n", + "\n", + " \t## Load X\n", + " \n", + " \tdf = xr.open_dataset( os.path.join( pathInpX , \"full_Europe_tas_YearMean_ssp585_{}.nc\".format(m) ) ,decode_times=False )\n", + " \ttime = df.time.values.astype(int)\n", + " \tX = pd.DataFrame( df.tas.values.ravel() , columns = [m] , index = time )\n", + " \n", + " \tlX.append( correct_miss(X) )\n", + " \n", + " \t## Load Y\n", + " \tdf = xr.open_dataset( os.path.join( pathInpY , \"full_Tricastin_ssp585_{}.nc\".format(m) ) ,decode_times=False )\n", + " \ttime = df.time.values.astype(int)\n", + " \tY = pd.DataFrame( df.tasmax.values.ravel() , columns = [m] , \tindex = time )\n", + " \tlY.append( correct_miss(Y) )\n", + " return lX, lY,models\n", + " \n", + "\n", + "def load_obs(pathInp,type_data):\n", + " ## Load Observations\n", + " dXo = xr.open_dataset(os.path.join( pathInp ,\"Observations\",type_data,\"Xo.nc\"))\n", + " Xo = pd.DataFrame( dXo.tas.values.squeeze() , columns = [\"Xo\"] , index = dXo.time[\"time.year\"].values )\n", + "\n", + " Xo #Deja en anomalies\n", + " dYo = xr.open_dataset(os.path.join( pathInp ,\"Observations\",type_data,\"Yo.nc\"))\n", + " Yo = pd.DataFrame( dYo.TX.values.squeeze() , columns = [\"Yo\"] , index = dYo.time[\"time.year\"].values )\n", + " return Xo,Yo #en celsius" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "db9c07d3", + "metadata": {}, + "outputs": [], + "source": [ + "#Parameters\n", + "time_period = np.arange( 1850 , 2101 , 1 , dtype = int )\n", + "time_reference = np.arange( 1986 , 2016 , 1 , dtype = int )\n", + "\n", + "ci = 0.05\n", + "sample_dis=False #If want n sample of each GCM model. For graph only, not used for multisynthesis. Takes a lot of time\n", + "\n", + "#Time period of interest\n", + "T=100\n", + "T1=2000\n", + "T2=2100\n", + "deb=1850\n", + "fin=2101\n", + "\n", + "ns_law = nsm.GEV()\n", + "event = ns.Event( \"HW19\" , 2019 , time_reference , type_ = \"value\" , variable = \"TX3X\" , unit = \"K\" )\n", + "verbose = \"--not-verbose\" not in sys.argv" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "c3f91487", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "['ACCESS-CM2_i1p1f1', 'ACCESS-ESM1-5_i1p1f1', 'CMCC-ESM2_i1p1f1', 'CNRM-CM6-1-HR_i1p1f2', 'CNRM-CM6-1_i1p1f2', 'CNRM-ESM2-1_i1p1f2', 'CanESM5_i1p2f1', 'EC-Earth3-CC_i1p1f1', 'EC-Earth3-Veg-LR_i1p1f1', 'EC-Earth3-Veg_i1p1f1', 'EC-Earth3_i1p1f1', 'FGOALS-g3_i1p1f1', 'GFDL-ESM4_i1p1f1', 'HadGEM3-GC31-LL_i1p1f3', 'HadGEM3-GC31-MM_i1p1f3', 'INM-CM4-8_i1p1f1', 'INM-CM5-0_i1p1f1', 'IPSL-CM6A-LR_i1p1f1', 'KACE-1-0-G_i1p1f1', 'MIROC-ES2L_i1p1f2', 'MIROC6_i1p1f1', 'MPI-ESM1-2-LR_i1p1f1', 'MRI-ESM2-0_i1p1f1', 'MRI-ESM2-0_i2p1f1', 'NESM3_i1p1f1', 'NorESM2-MM_i1p1f1', 'TaiESM1_i1p1f1', 'UKESM1-0-LL_i1p1f2']\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/tmp/ipykernel_36906/3393259602.py:5: FutureWarning: Calling float on a single element Series is deprecated and will raise a TypeError in the future. Use float(ser.iloc[0]) instead\n", + " event.value = float(Yo.loc[event.time])\n" + ] + } + ], + "source": [ + "pathInp='/home/barbauxo/Documents/Doctorat/03_Travail/2023_01 Application Tricastin/Data'\n", + "type_data=\"03_Post_treatment\" #\"02_Selected\"\n", + "lX,lY,models=load_models_CMIP6(pathInp,type_data)\n", + "Xo,Yo=load_obs(pathInp,type_data)\n", + "event.value = float(Yo.loc[event.time])" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "23133323", + "metadata": {}, + "outputs": [], + "source": [ + "n_sample = 1000\n", + "verbose=False" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "0b1b7c3c", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "0b16273b", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__GEV.py:347: RuntimeWarning: overflow encountered in divide\n", + " T0 = ZZim1 / scale - shc * shape / ( ZZ * scale )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__GEV.py:348: RuntimeWarning: overflow encountered in multiply\n", + " T1 = 1 / scale + ZZim1 * Z / scale - shc * shape * Z / ( ZZ * scale )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__GEV.py:349: RuntimeWarning: overflow encountered in divide\n", + " T2 = np.log(ZZ) * ZZi / shape**2 - ZZim1 * Z / shape - np.log(ZZ) / shape**2 + shc * Z / ZZ\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__GEV.py:349: RuntimeWarning: overflow encountered in multiply\n", + " T2 = np.log(ZZ) * ZZi / shape**2 - ZZim1 * Z / shape - np.log(ZZ) / shape**2 + shc * Z / ZZ\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__GEV.py:349: RuntimeWarning: invalid value encountered in subtract\n", + " T2 = np.log(ZZ) * ZZi / shape**2 - ZZim1 * Z / shape - np.log(ZZ) / shape**2 + shc * Z / ZZ\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__GEV.py:326: RuntimeWarning: overflow encountered in power\n", + " res = np.sum( ( 1. + 1. / shape ) * np.log(Z) + np.power( Z , - 1. / shape ) + np.log(scale) )\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "9935.704282283783\n" + ] + } + ], + "source": [ + "## Prior Functions (Yoann this is so slow)\n", + "##================================\n", + "t0 = tm.time()\n", + "clim = ns.Climatology( event , time_period , models ,n_sample , ns_law )\n", + "Xebm = ns.EBM().draw_sample( clim.time , n_sample + 1 , fix_first = 0 )\n", + "clim =ns.covariates_FC_GAM( clim , lX , Xebm , dof = 7 , verbose = False )\n", + "clim = ns.nslaw_fit( lY , clim , verbose = verbose ) \n", + "clim = ns.infer_multi_model( clim , verbose = verbose )\n", + "## Add constraint on X\n", + "clim_light_MM = clim.copy()\n", + "clim_light_MM.keep_models( \"Multi_Synthesis\" )\n", + "clim_CX = ns.constrain_covariate( clim_light_MM , Xo , time_reference , verbose = verbose )\n", + "t1 = tm.time()\n", + "total = t1-t0\n", + "print(total)" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "64db0f22", + "metadata": {}, + "outputs": [ + { + "ename": "PermissionError", + "evalue": "[Errno 13] Permission denied: '/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/NSSEA/test/clim_CX.nc'", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mKeyError\u001b[0m Traceback (most recent call last)", + "File \u001b[0;32m~/miniconda3/envs/TestSDFC/lib/python3.12/site-packages/xarray/backends/file_manager.py:211\u001b[0m, in \u001b[0;36mCachingFileManager._acquire_with_cache_info\u001b[0;34m(self, needs_lock)\u001b[0m\n\u001b[1;32m 210\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 211\u001b[0m file \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_cache\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_key\u001b[49m\u001b[43m]\u001b[49m\n\u001b[1;32m 212\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mKeyError\u001b[39;00m:\n", + "File \u001b[0;32m~/miniconda3/envs/TestSDFC/lib/python3.12/site-packages/xarray/backends/lru_cache.py:56\u001b[0m, in \u001b[0;36mLRUCache.__getitem__\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m 55\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_lock:\n\u001b[0;32m---> 56\u001b[0m value \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_cache\u001b[49m\u001b[43m[\u001b[49m\u001b[43mkey\u001b[49m\u001b[43m]\u001b[49m\n\u001b[1;32m 57\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_cache\u001b[38;5;241m.\u001b[39mmove_to_end(key)\n", + "\u001b[0;31mKeyError\u001b[0m: [, ('/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/NSSEA/test/clim_CX.nc',), 'a', (('clobber', True), ('diskless', False), ('format', 'NETCDF4'), ('persist', False)), '07609738-c553-4367-817c-11be22229495']", + "\nDuring handling of the above exception, another exception occurred:\n", + "\u001b[0;31mPermissionError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[16], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43mclim_CX\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mto_netcdf\u001b[49m\u001b[43m(\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mclim_CX.nc\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m~/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/NSSEA/NSSEA/__variables.py:247\u001b[0m, in \u001b[0;36mClimatology.to_netcdf\u001b[0;34m(self, ofile)\u001b[0m\n\u001b[1;32m 245\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mdata\u001b[38;5;241m.\u001b[39mattrs[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mevent.variable\u001b[39m\u001b[38;5;124m\"\u001b[39m] \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mevent\u001b[38;5;241m.\u001b[39mvariable\n\u001b[1;32m 246\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mdata\u001b[38;5;241m.\u001b[39mattrs[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mevent.unit\u001b[39m\u001b[38;5;124m\"\u001b[39m] \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mevent\u001b[38;5;241m.\u001b[39munit\n\u001b[0;32m--> 247\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdata\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mto_netcdf\u001b[49m\u001b[43m(\u001b[49m\u001b[43mofile\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m~/miniconda3/envs/TestSDFC/lib/python3.12/site-packages/xarray/core/dataset.py:2280\u001b[0m, in \u001b[0;36mDataset.to_netcdf\u001b[0;34m(self, path, mode, format, group, engine, encoding, unlimited_dims, compute, invalid_netcdf)\u001b[0m\n\u001b[1;32m 2277\u001b[0m encoding \u001b[38;5;241m=\u001b[39m {}\n\u001b[1;32m 2278\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mxarray\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mbackends\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mapi\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m to_netcdf\n\u001b[0;32m-> 2280\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mto_netcdf\u001b[49m\u001b[43m(\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;66;43;03m# type: ignore # mypy cannot resolve the overloads:(\u001b[39;49;00m\n\u001b[1;32m 2281\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m 2282\u001b[0m \u001b[43m \u001b[49m\u001b[43mpath\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 2283\u001b[0m \u001b[43m \u001b[49m\u001b[43mmode\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mmode\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 2284\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;28;43mformat\u001b[39;49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mformat\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m 2285\u001b[0m \u001b[43m \u001b[49m\u001b[43mgroup\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mgroup\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 2286\u001b[0m \u001b[43m \u001b[49m\u001b[43mengine\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mengine\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 2287\u001b[0m \u001b[43m \u001b[49m\u001b[43mencoding\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mencoding\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 2288\u001b[0m \u001b[43m \u001b[49m\u001b[43munlimited_dims\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43munlimited_dims\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 2289\u001b[0m \u001b[43m \u001b[49m\u001b[43mcompute\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcompute\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 2290\u001b[0m \u001b[43m \u001b[49m\u001b[43mmultifile\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m,\u001b[49m\n\u001b[1;32m 2291\u001b[0m \u001b[43m \u001b[49m\u001b[43minvalid_netcdf\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43minvalid_netcdf\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 2292\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m~/miniconda3/envs/TestSDFC/lib/python3.12/site-packages/xarray/backends/api.py:1242\u001b[0m, in \u001b[0;36mto_netcdf\u001b[0;34m(dataset, path_or_file, mode, format, group, engine, encoding, unlimited_dims, compute, multifile, invalid_netcdf)\u001b[0m\n\u001b[1;32m 1238\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m 1239\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\n\u001b[1;32m 1240\u001b[0m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124munrecognized option \u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124minvalid_netcdf\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m for engine \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mengine\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 1241\u001b[0m )\n\u001b[0;32m-> 1242\u001b[0m store \u001b[38;5;241m=\u001b[39m \u001b[43mstore_open\u001b[49m\u001b[43m(\u001b[49m\u001b[43mtarget\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmode\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mformat\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mgroup\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 1244\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m unlimited_dims \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m 1245\u001b[0m unlimited_dims \u001b[38;5;241m=\u001b[39m dataset\u001b[38;5;241m.\u001b[39mencoding\u001b[38;5;241m.\u001b[39mget(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124munlimited_dims\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;28;01mNone\u001b[39;00m)\n", + "File \u001b[0;32m~/miniconda3/envs/TestSDFC/lib/python3.12/site-packages/xarray/backends/netCDF4_.py:400\u001b[0m, in \u001b[0;36mNetCDF4DataStore.open\u001b[0;34m(cls, filename, mode, format, group, clobber, diskless, persist, lock, lock_maker, autoclose)\u001b[0m\n\u001b[1;32m 394\u001b[0m kwargs \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mdict\u001b[39m(\n\u001b[1;32m 395\u001b[0m clobber\u001b[38;5;241m=\u001b[39mclobber, diskless\u001b[38;5;241m=\u001b[39mdiskless, persist\u001b[38;5;241m=\u001b[39mpersist, \u001b[38;5;28mformat\u001b[39m\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mformat\u001b[39m\n\u001b[1;32m 396\u001b[0m )\n\u001b[1;32m 397\u001b[0m manager \u001b[38;5;241m=\u001b[39m CachingFileManager(\n\u001b[1;32m 398\u001b[0m netCDF4\u001b[38;5;241m.\u001b[39mDataset, filename, mode\u001b[38;5;241m=\u001b[39mmode, kwargs\u001b[38;5;241m=\u001b[39mkwargs\n\u001b[1;32m 399\u001b[0m )\n\u001b[0;32m--> 400\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mcls\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mmanager\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mgroup\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mgroup\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmode\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mmode\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mlock\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mlock\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mautoclose\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mautoclose\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m~/miniconda3/envs/TestSDFC/lib/python3.12/site-packages/xarray/backends/netCDF4_.py:347\u001b[0m, in \u001b[0;36mNetCDF4DataStore.__init__\u001b[0;34m(self, manager, group, mode, lock, autoclose)\u001b[0m\n\u001b[1;32m 345\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_group \u001b[38;5;241m=\u001b[39m group\n\u001b[1;32m 346\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_mode \u001b[38;5;241m=\u001b[39m mode\n\u001b[0;32m--> 347\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mformat \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mds\u001b[49m\u001b[38;5;241m.\u001b[39mdata_model\n\u001b[1;32m 348\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_filename \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mds\u001b[38;5;241m.\u001b[39mfilepath()\n\u001b[1;32m 349\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mis_remote \u001b[38;5;241m=\u001b[39m is_remote_uri(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_filename)\n", + "File \u001b[0;32m~/miniconda3/envs/TestSDFC/lib/python3.12/site-packages/xarray/backends/netCDF4_.py:409\u001b[0m, in \u001b[0;36mNetCDF4DataStore.ds\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 407\u001b[0m \u001b[38;5;129m@property\u001b[39m\n\u001b[1;32m 408\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mds\u001b[39m(\u001b[38;5;28mself\u001b[39m):\n\u001b[0;32m--> 409\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_acquire\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m~/miniconda3/envs/TestSDFC/lib/python3.12/site-packages/xarray/backends/netCDF4_.py:403\u001b[0m, in \u001b[0;36mNetCDF4DataStore._acquire\u001b[0;34m(self, needs_lock)\u001b[0m\n\u001b[1;32m 402\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_acquire\u001b[39m(\u001b[38;5;28mself\u001b[39m, needs_lock\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m):\n\u001b[0;32m--> 403\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;28;43;01mwith\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_manager\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43macquire_context\u001b[49m\u001b[43m(\u001b[49m\u001b[43mneeds_lock\u001b[49m\u001b[43m)\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mas\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mroot\u001b[49m\u001b[43m:\u001b[49m\n\u001b[1;32m 404\u001b[0m \u001b[43m \u001b[49m\u001b[43mds\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m \u001b[49m\u001b[43m_nc4_require_group\u001b[49m\u001b[43m(\u001b[49m\u001b[43mroot\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_group\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_mode\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 405\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m ds\n", + "File \u001b[0;32m~/miniconda3/envs/TestSDFC/lib/python3.12/contextlib.py:137\u001b[0m, in \u001b[0;36m_GeneratorContextManager.__enter__\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 135\u001b[0m \u001b[38;5;28;01mdel\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39margs, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mkwds, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mfunc\n\u001b[1;32m 136\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 137\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mnext\u001b[39;49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mgen\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 138\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mStopIteration\u001b[39;00m:\n\u001b[1;32m 139\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mRuntimeError\u001b[39;00m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mgenerator didn\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mt yield\u001b[39m\u001b[38;5;124m\"\u001b[39m) \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m\n", + "File \u001b[0;32m~/miniconda3/envs/TestSDFC/lib/python3.12/site-packages/xarray/backends/file_manager.py:199\u001b[0m, in \u001b[0;36mCachingFileManager.acquire_context\u001b[0;34m(self, needs_lock)\u001b[0m\n\u001b[1;32m 196\u001b[0m \u001b[38;5;129m@contextlib\u001b[39m\u001b[38;5;241m.\u001b[39mcontextmanager\n\u001b[1;32m 197\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21macquire_context\u001b[39m(\u001b[38;5;28mself\u001b[39m, needs_lock\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m):\n\u001b[1;32m 198\u001b[0m \u001b[38;5;250m \u001b[39m\u001b[38;5;124;03m\"\"\"Context manager for acquiring a file.\"\"\"\u001b[39;00m\n\u001b[0;32m--> 199\u001b[0m file, cached \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_acquire_with_cache_info\u001b[49m\u001b[43m(\u001b[49m\u001b[43mneeds_lock\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 200\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m 201\u001b[0m \u001b[38;5;28;01myield\u001b[39;00m file\n", + "File \u001b[0;32m~/miniconda3/envs/TestSDFC/lib/python3.12/site-packages/xarray/backends/file_manager.py:217\u001b[0m, in \u001b[0;36mCachingFileManager._acquire_with_cache_info\u001b[0;34m(self, needs_lock)\u001b[0m\n\u001b[1;32m 215\u001b[0m kwargs \u001b[38;5;241m=\u001b[39m kwargs\u001b[38;5;241m.\u001b[39mcopy()\n\u001b[1;32m 216\u001b[0m kwargs[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mmode\u001b[39m\u001b[38;5;124m\"\u001b[39m] \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_mode\n\u001b[0;32m--> 217\u001b[0m file \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_opener\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_args\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 218\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_mode \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mw\u001b[39m\u001b[38;5;124m\"\u001b[39m:\n\u001b[1;32m 219\u001b[0m \u001b[38;5;66;03m# ensure file doesn't get overridden when opened again\u001b[39;00m\n\u001b[1;32m 220\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_mode \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124ma\u001b[39m\u001b[38;5;124m\"\u001b[39m\n", + "File \u001b[0;32msrc/netCDF4/_netCDF4.pyx:2469\u001b[0m, in \u001b[0;36mnetCDF4._netCDF4.Dataset.__init__\u001b[0;34m()\u001b[0m\n", + "File \u001b[0;32msrc/netCDF4/_netCDF4.pyx:2028\u001b[0m, in \u001b[0;36mnetCDF4._netCDF4._ensure_nc_success\u001b[0;34m()\u001b[0m\n", + "\u001b[0;31mPermissionError\u001b[0m: [Errno 13] Permission denied: '/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/NSSEA/test/clim_CX.nc'" + ] + } + ], + "source": [ + "clim_CX.to_netcdf( \"clim_CX.nc\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "a827e06e", + "metadata": {}, + "outputs": [], + "source": [ + "clim_CX=ns.Climatology.from_netcdf( \"clim_CX.nc\" , ns_law )" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "e178139c", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:326: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "2537.803835630417\n" + ] + } + ], + "source": [ + "#Original\n", + "t0 = tm.time()\n", + "bayes_kwargs = { \"n_mcmc_drawn_min\" : 5000 , \"n_mcmc_drawn_max\" : 10000 }\n", + "bayes_kwargs[\"transition_type\"]=\"Fixed\"\n", + "bayes_kwargs[\"fixed_cov\"]=np.array([0.1,0.1,0.1,0.1,0.1])\n", + "climCXCB = ns.constrain_law( clim_CX , Yo , verbose = verbose , **bayes_kwargs )\n", + "t1 = tm.time()\n", + "total = t1-t0\n", + "print(total)" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "e4257a3b", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:326: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "2535.927412748337\n" + ] + } + ], + "source": [ + "t0 = tm.time()\n", + "bayes_kwargs = { \"n_mcmc_drawn_min\" : 5000 , \"n_mcmc_drawn_max\" : 10000 }\n", + "bayes_kwargs[\"transition_type\"]=\"Fixed\"\n", + "bayes_kwargs[\"fixed_cov\"]=np.array([0.1])\n", + "climCXCB = ns.constrain_law( clim_CX , Yo , verbose = verbose , **bayes_kwargs )\n", + "t1 = tm.time()\n", + "total = t1-t0\n", + "print(total)" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "5ba049ea", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:326: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "4033.291676044464\n" + ] + } + ], + "source": [ + "t0 = tm.time()\n", + "bayes_kwargs = { \"n_mcmc_drawn_min\" : 5000 , \"n_mcmc_drawn_max\" : 10000 }\n", + "bayes_kwargs[\"transition_type\"]=\"Adapt\"\n", + "climCXCB = ns.constrain_law( clim_CX , Yo , verbose = verbose , **bayes_kwargs )\n", + "t1 = tm.time()\n", + "total = t1-t0\n", + "print(total)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "5150d3f0", + "metadata": {}, + "outputs": [], + "source": [ + " " + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "9a527641", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:326: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "3748.772431373596\n" + ] + } + ], + "source": [ + "t0 = tm.time()\n", + "bayes_kwargs = { \"n_mcmc_drawn_min\" : 5000 , \"n_mcmc_drawn_max\" : 10000 }\n", + "bayes_kwargs[\"transition_type\"]=\"Adapt\"\n", + "bayes_kwargs[\"method_MCMC\"]=\"bayesian\"\n", + "climCXCB = ns.constrain_law( clim_CX , Yo , verbose = verbose , **bayes_kwargs )\n", + "t1 = tm.time()\n", + "total = t1-t0\n", + "print(total)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "364b9cd8", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: 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np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: 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np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: 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np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres 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np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres 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np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres 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np.exp( p_next - p_current )\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( 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np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres 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np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/barbauxo/Documents/05_Autres 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np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres 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np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres 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np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres 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np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: 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np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: 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np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: 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np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: 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np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres 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np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres 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np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres 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np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres 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np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres 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np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres 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RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: 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np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres 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np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres 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np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres 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np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres 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np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres 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np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres 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np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: 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np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres 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np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres 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RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: 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np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres 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np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres 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np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres 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np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres 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np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres 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np.exp( p_next - p_current )\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres 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np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres 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np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres 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np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: 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np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: 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np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres 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np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres 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np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres 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np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres 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np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres 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np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres 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np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres 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np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres 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np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n" + ] + }, + { + "name": "stderr", + "output_type": 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Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n", + "/home/barbauxo/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:615: RuntimeWarning: invalid value encountered in scalar subtract\n", + " p_accept = np.exp( p_next - p_current )\n" + ] + } + ], + "source": [ + "t0 = tm.time()\n", + "bayes_kwargs = { \"n_mcmc_drawn_min\" : 5000 , \"n_mcmc_drawn_max\" : 10000,\"n_ess\" : 10, \"burn_in\" : 800 }\n", + "bayes_kwargs[\"transition_type\"]=\"Adapt\"\n", + "bayes_kwargs[\"method_MCMC\"]=\"bayesian-experimental-ess\"\n", + "climCXCB = ns.constrain_law( clim_CX , Yo , verbose = verbose , **bayes_kwargs )\n", + "t1 = tm.time()\n", + "total = t1-t0\n", + "print(total)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "4ed7b4ab", + "metadata": {}, + "outputs": [], + "source": [ + "t0 = tm.time()\n", + "#clim_CX=ns.Climatology.from_netcdf( \"~/Documents/Doctorat/03_Travail/2023_08 Clean Run/clim_CX.nc\" , ns_law ) \n", + "#bayes_kwargs = { \"n_mcmc_drawn_min\" : 5000 , \"n_mcmc_drawn_max\" : 10000 }\n", + "bayes_kwargs = { \"n_mcmc_drawn_min\" : 5000 , \"n_mcmc_drawn_max\" : 10000 ,\"n_ess\" : 10, \"burn_in\" : 500 }\n", + "\n", + "bayes_kwargs[\"transition_type\"]=\"Adapt\"\n", + "bayes_kwargs[\"method_MCMC\"]=\"bayesian-experimental-mhwg\"\n", + "climCXCB = ns.constrain_law( clim_CX , Yo , verbose = verbose , **bayes_kwargs )\n", + "t1 = tm.time()\n", + "total = t1-t0\n", + "print(total)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "566c7920", + "metadata": {}, + "outputs": [], + "source": [ + "t0 = tm.time()\n", + "bayes_kwargs = { \"n_mcmc_drawn_min\" : 5000 , \"n_mcmc_drawn_max\" : 10000 ,\"n_ess\" : 10, \"burn_in\" : 800 ,\"mcmc_init\":np.array([0]*5) }\n", + "bayes_kwargs[\"transition_type\"]=\"Adapt\"\n", + "bayes_kwargs[\"method_MCMC\"]=\"bayesian-experimental-mhwg-ess\"\n", + "climCXCB = ns.constrain_law( clim_CX , Yo , verbose = verbose , **bayes_kwargs )\n", + "t1 = tm.time()\n", + "total = t1-t0\n", + "print(total)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "9bcfc40d", + "metadata": {}, + "outputs": [], + "source": [ + "t0 = tm.time()\n", + "bayes_kwargs = { \"n_mcmc_drawn_min\" : 5000 , \"n_mcmc_drawn_max\" : 10000 ,\"n_ess\" : 10, \"burn_in\" : 800 ,\"mcmc_init\":np.array([0]*5) }\n", + "bayes_kwargs[\"transition_type\"]=\"Fixed\"\n", + "bayes_kwargs[\"fixed_cov\"]=np.array([0.5,0.5,0.5,0.5,0.5])\n", + "bayes_kwargs[\"method_MCMC\"]=\"bayesian-experimental-mhwg-ess\"\n", + "climCXCB = ns.constrain_law( clim_CX , Yo , verbose = verbose , **bayes_kwargs )\n", + "t1 = tm.time()\n", + "total = t1-t0\n", + "print(total)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "f4a54418", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "4a7ac83c", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "0bae8995", + "metadata": {}, + "outputs": [], + "source": [ + "# Preparation, light version" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "033758b1", + "metadata": {}, + "outputs": [], + "source": [ + "n_sample = 1000\n", + "verbose=False" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "0f3983b1", + "metadata": {}, + "outputs": [], + "source": [ + "## Prior Functions (Light_version is faster)\n", + "##================================\n", + "light=True\n", + "t0 = tm.time()\n", + "clim_light = ns.Climatology( event , time_period , models ,n_sample , ns_law )\n", + "Xebm = ns.EBM().draw_sample( clim_light.time , n_sample + 1 , fix_first = 0 )\n", + "clim_light =ns.covariates_FC_GAM( clim_light , lX , Xebm , dof = 7 , verbose = False,light=light )\n", + "clim_light = ns.nslaw_fit( lY , clim_light , verbose = verbose,light= light ) \n", + "clim_light = ns.infer_multi_model( clim_light , verbose = verbose )\n", + "## Add constraint on X\n", + "clim_MM_light = clim_light.copy()\n", + "clim_MM_light.keep_models( \"Multi_Synthesis\" )\n", + "clim_CX_light = ns.constrain_covariate( clim_MM_light , Xo , time_reference , verbose = verbose )\n", + "t1 = tm.time()\n", + "total = t1-t0\n", + "print(total)\n", + "clim_CX_light.to_netcdf( \"clim_CX_light.nc\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "84233480", + "metadata": {}, + "outputs": [], + "source": [ + "t0 = tm.time()\n", + "bayes_kwargs = { \"n_mcmc_drawn_min\" : 5000 , \"n_mcmc_drawn_max\" : 10000 ,\"n_ess\" : 10, \"burn_in\" : 800 ,\"mcmc_init\":np.array([0]*5) }\n", + "bayes_kwargs[\"transition_type\"]=\"Adapt\"\n", + "bayes_kwargs[\"method_MCMC\"]=\"bayesian-experimental-mhwg-ess\"\n", + "climCXCB = ns.constrain_law( clim_CX_light , Yo , keep=\"ess\", verbose = verbose , **bayes_kwargs )\n", + "t1 = tm.time()\n", + "total = t1-t0\n", + "print(total)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d8a3263b", + "metadata": {}, + "outputs": [], + "source": [ + "climCXCB.law_coef.loc[:,'S00_3' ,:]" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "e7aad2a5", + "metadata": {}, + "outputs": [], + "source": [ + "climCXCB.to_netcdf( \"climCXCB.nc\")" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "47abb32e", + "metadata": {}, + "outputs": [], + "source": [ + "climCXCB=ns.Climatology.from_netcdf( \"climCXCB.nc\" , ns_law )" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "9fc85e45", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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+       "Dimensions:         (time: 251, model: 1, sample: 11, anomaly_period: 30,\n",
+       "                     forcing: 2, coef: 5, mm_coef: 507)\n",
+       "Coordinates:\n",
+       "  * time            (time) int64 1850 1851 1852 1853 ... 2097 2098 2099 2100\n",
+       "  * model           (model) <U15 'Multi_Synthesis'\n",
+       "  * sample          (sample) <U3 'BE' 'S00' 'S01' 'S02' ... 'S07' 'S08' 'S09'\n",
+       "  * anomaly_period  (anomaly_period) int64 1986 1987 1988 ... 2013 2014 2015\n",
+       "  * forcing         (forcing) <U1 'F' 'C'\n",
+       "  * coef            (coef) <U6 'loc0' 'loc1' 'scale0' 'scale1' 'shape0'\n",
+       "  * mm_coef         (mm_coef) <U6 '1850F' '1851F' '1852F' ... 'scale1' 'shape0'\n",
+       "Data variables:\n",
+       "    X               (time, sample, forcing, model) float64 ...\n",
+       "    law_coef        (coef, sample, model) float64 ...\n",
+       "    mm_mean         (mm_coef) float64 ...\n",
+       "    mm_cov          (mm_coef, mm_coef) float64 ...\n",
+       "Attributes:\n",
+       "    BE_is_median:    False\n",
+       "    event.name:      HW19\n",
+       "    event.time:      2019\n",
+       "    event.value:     4.223333333333336\n",
+       "    event.type:      value\n",
+       "    event.side:      upper\n",
+       "    event.variable:  TX3X\n",
+       "    event.unit:      K
" + ], + "text/plain": [ + "\n", + "Dimensions: (time: 251, model: 1, sample: 11, anomaly_period: 30,\n", + " forcing: 2, coef: 5, mm_coef: 507)\n", + "Coordinates:\n", + " * time (time) int64 1850 1851 1852 1853 ... 2097 2098 2099 2100\n", + " * model (model) 6\u001b[0m climCXCB \u001b[38;5;241m=\u001b[39m \u001b[43mns\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mconstrain_law\u001b[49m\u001b[43m(\u001b[49m\u001b[43m \u001b[49m\u001b[43mclim_CX\u001b[49m\u001b[43m \u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mYo\u001b[49m\u001b[43m \u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mverbose\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mbayes_kwargs\u001b[49m\u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 7\u001b[0m t1 \u001b[38;5;241m=\u001b[39m tm\u001b[38;5;241m.\u001b[39mtime()\n\u001b[1;32m 8\u001b[0m total \u001b[38;5;241m=\u001b[39m t1\u001b[38;5;241m-\u001b[39mt0\n", + "File \u001b[0;32m~/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/NSSEA/NSSEA/__constraints.py:399\u001b[0m, in \u001b[0;36mconstrain_law\u001b[0;34m(climIn, Yo, keep, n_mcmc_drawn_min, n_mcmc_drawn_max, verbose, **kwargs)\u001b[0m\n\u001b[1;32m 396\u001b[0m \t\u001b[38;5;28;01mreturn\u001b[39;00m _constrain_law_ess( climIn , Yo , n_mcmc_drawn_min , n_mcmc_drawn_max , verbose , \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs )\t\n\u001b[1;32m 397\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m keep \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mall\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m keep \u001b[38;5;241m<\u001b[39m \u001b[38;5;241m1\u001b[39m:\n\u001b[1;32m 398\u001b[0m \t\u001b[38;5;66;03m#Maybe avoid a possible comparison between str and int ? put percentage as a kwarg ?\u001b[39;00m\n\u001b[0;32m--> 399\u001b[0m \t\u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43m_constrain_law_all\u001b[49m\u001b[43m(\u001b[49m\u001b[43m \u001b[49m\u001b[43mclimIn\u001b[49m\u001b[43m \u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mYo\u001b[49m\u001b[43m \u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mn_mcmc_drawn_min\u001b[49m\u001b[43m \u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mn_mcmc_drawn_max\u001b[49m\u001b[43m \u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mverbose\u001b[49m\u001b[43m \u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 400\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m 401\u001b[0m \t\u001b[38;5;28;01mreturn\u001b[39;00m _constrain_law_keep( climIn , Yo , keep , n_mcmc_drawn_min , n_mcmc_drawn_max , verbose , \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs )\n", + "File \u001b[0;32m~/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/NSSEA/NSSEA/__constraints.py:269\u001b[0m, in \u001b[0;36m_constrain_law_all\u001b[0;34m(climIn, Yo, n_mcmc_drawn_min, n_mcmc_drawn_max, verbose, **kwargs)\u001b[0m\n\u001b[1;32m 267\u001b[0m \tX \u001b[38;5;241m=\u001b[39m clim\u001b[38;5;241m.\u001b[39mX\u001b[38;5;241m.\u001b[39mloc[Yo\u001b[38;5;241m.\u001b[39mindex,s,\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mF\u001b[39m\u001b[38;5;124m\"\u001b[39m,\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mMulti_Synthesis\u001b[39m\u001b[38;5;124m\"\u001b[39m]\u001b[38;5;241m.\u001b[39mvalues\u001b[38;5;241m.\u001b[39msqueeze()\n\u001b[1;32m 268\u001b[0m \tn_mcmc_drawn \u001b[38;5;241m=\u001b[39m np\u001b[38;5;241m.\u001b[39mrandom\u001b[38;5;241m.\u001b[39mrandint( n_mcmc_drawn_min , n_mcmc_drawn_max )\n\u001b[0;32m--> 269\u001b[0m \tdraw \u001b[38;5;241m=\u001b[39m \u001b[43mclim\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mns_law\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdrawn_bayesian\u001b[49m\u001b[43m(\u001b[49m\u001b[43m \u001b[49m\u001b[43mYo\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mvalues\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msqueeze\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[43m \u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mX\u001b[49m\u001b[43m \u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mn_mcmc_drawn\u001b[49m\u001b[43m \u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mprior_law\u001b[49m\u001b[43m \u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmin_rate_accept\u001b[49m\u001b[43m \u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 270\u001b[0m \tclim\u001b[38;5;241m.\u001b[39mlaw_coef\u001b[38;5;241m.\u001b[39mloc[:,s,\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mMulti_Synthesis\u001b[39m\u001b[38;5;124m\"\u001b[39m] \u001b[38;5;241m=\u001b[39m draw[\u001b[38;5;241m-\u001b[39m\u001b[38;5;241m1\u001b[39m,:]\n\u001b[1;32m 272\u001b[0m clim\u001b[38;5;241m.\u001b[39mlaw_coef\u001b[38;5;241m.\u001b[39mloc[:,\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mBE\u001b[39m\u001b[38;5;124m\"\u001b[39m,:] \u001b[38;5;241m=\u001b[39m clim\u001b[38;5;241m.\u001b[39mlaw_coef[:,\u001b[38;5;241m1\u001b[39m:,:]\u001b[38;5;241m.\u001b[39mmedian( dim \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124msample\u001b[39m\u001b[38;5;124m\"\u001b[39m )\n", + "File \u001b[0;32m~/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/NSSEA/NSSEA/models/__AbstractModel.py:196\u001b[0m, in \u001b[0;36mAbstractModel.drawn_bayesian\u001b[0;34m(self, Y, X, n_mcmc_drawn, prior, min_rate_accept, **kwargs)\u001b[0m\n\u001b[1;32m 194\u001b[0m test_rate \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mFalse\u001b[39;00m\n\u001b[1;32m 195\u001b[0m \u001b[38;5;28;01mwhile\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m test_rate:\n\u001b[0;32m--> 196\u001b[0m \t\u001b[43msdlaw\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfit\u001b[49m\u001b[43m(\u001b[49m\u001b[43m \u001b[49m\u001b[43mY\u001b[49m\u001b[43m \u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mn_mcmc_drawn\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m \u001b[49m\u001b[43mn_mcmc_drawn\u001b[49m\u001b[43m \u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mprior\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m \u001b[49m\u001b[43mprior\u001b[49m\u001b[43m \u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43msdkwargs\u001b[49m\u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 198\u001b[0m \ttest_rate \u001b[38;5;241m=\u001b[39m sdlaw\u001b[38;5;241m.\u001b[39minfo_\u001b[38;5;241m.\u001b[39mrate_accept \u001b[38;5;241m>\u001b[39m min_rate_accept\n\u001b[1;32m 199\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m sdlaw\u001b[38;5;241m.\u001b[39minfo_\u001b[38;5;241m.\u001b[39mdraw\n", + "File \u001b[0;32m~/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:379\u001b[0m, in \u001b[0;36mAbstractLaw.fit\u001b[0;34m(self, Y, **kwargs)\u001b[0m\n\u001b[1;32m 377\u001b[0m \t\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_fit_Bayesian_MHWG_ESS(\u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n\u001b[1;32m 378\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m--> 379\u001b[0m \t\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_fit_Bayesian\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m~/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:321\u001b[0m, in \u001b[0;36mAbstractLaw._fit_Bayesian\u001b[0;34m(self, **kwargs)\u001b[0m\n\u001b[1;32m 318\u001b[0m \tdraw[i,:] \u001b[38;5;241m=\u001b[39m transition(draw[i\u001b[38;5;241m-\u001b[39m\u001b[38;5;241m1\u001b[39m,:])\n\u001b[1;32m 320\u001b[0m \u001b[38;5;66;03m## Likelihood and probability of new points\u001b[39;00m\n\u001b[0;32m--> 321\u001b[0m lll_next \u001b[38;5;241m=\u001b[39m \u001b[38;5;241m-\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_negloglikelihood\u001b[49m\u001b[43m(\u001b[49m\u001b[43mdraw\u001b[49m\u001b[43m[\u001b[49m\u001b[43mi\u001b[49m\u001b[43m,\u001b[49m\u001b[43m:\u001b[49m\u001b[43m]\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 322\u001b[0m prior_next \u001b[38;5;241m=\u001b[39m prior\u001b[38;5;241m.\u001b[39mlogpdf(draw[i,:])\u001b[38;5;241m.\u001b[39msum()\n\u001b[1;32m 323\u001b[0m p_next \u001b[38;5;241m=\u001b[39m prior_next \u001b[38;5;241m+\u001b[39m lll_next\n", + "File \u001b[0;32m~/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__GEV.py:303\u001b[0m, in \u001b[0;36mGEV._negloglikelihood\u001b[0;34m(self, coef)\u001b[0m\n\u001b[1;32m 301\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_negloglikelihood\u001b[39m( \u001b[38;5;28mself\u001b[39m , coef ): \u001b[38;5;66;03m##{{{\u001b[39;00m\n\u001b[0;32m--> 303\u001b[0m \t\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcoef_\u001b[49m \u001b[38;5;241m=\u001b[39m coef\n\u001b[1;32m 305\u001b[0m \t\u001b[38;5;66;03m## Impossible scale\u001b[39;00m\n\u001b[1;32m 306\u001b[0m \t\u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m np\u001b[38;5;241m.\u001b[39mall( \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mscale \u001b[38;5;241m>\u001b[39m \u001b[38;5;241m0\u001b[39m ):\n", + "File \u001b[0;32m~/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/__AbstractLaw.py:199\u001b[0m, in \u001b[0;36mAbstractLaw.coef_\u001b[0;34m(self, coef_)\u001b[0m\n\u001b[1;32m 197\u001b[0m \u001b[38;5;129m@coef_\u001b[39m\u001b[38;5;241m.\u001b[39msetter\n\u001b[1;32m 198\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mcoef_\u001b[39m( \u001b[38;5;28mself\u001b[39m , coef_ ): \u001b[38;5;66;03m##{{{\u001b[39;00m\n\u001b[0;32m--> 199\u001b[0m \t\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_rhs\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcoef_\u001b[49m \u001b[38;5;241m=\u001b[39m coef_\n", + "File \u001b[0;32m~/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/core/__RHS.py:128\u001b[0m, in \u001b[0;36mRHS.coef_\u001b[0;34m(self, coef_)\u001b[0m\n\u001b[1;32m 126\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_coef_ \u001b[38;5;241m=\u001b[39m np\u001b[38;5;241m.\u001b[39marray( [coef_] )\u001b[38;5;241m.\u001b[39msqueeze()\u001b[38;5;241m.\u001b[39mreshape(\u001b[38;5;241m-\u001b[39m\u001b[38;5;241m1\u001b[39m)\n\u001b[1;32m 127\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mlhs_\u001b[38;5;241m.\u001b[39mvalues_ \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39ml_global\u001b[38;5;241m.\u001b[39mtransform( \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mcoef_ , \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mc_global )\n\u001b[0;32m--> 128\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mlhs_\u001b[38;5;241m.\u001b[39mjacobian_ \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43ml_global\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mjacobian\u001b[49m\u001b[43m(\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcoef_\u001b[49m\u001b[43m \u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mc_global\u001b[49m\u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m~/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/link/__Multivariate.py:165\u001b[0m, in \u001b[0;36mMLTensor.jacobian\u001b[0;34m(self, coef, X)\u001b[0m\n\u001b[1;32m 163\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m s \u001b[38;5;241m>\u001b[39m \u001b[38;5;241m0\u001b[39m:\n\u001b[1;32m 164\u001b[0m \tie \u001b[38;5;241m+\u001b[39m\u001b[38;5;241m=\u001b[39m s\n\u001b[0;32m--> 165\u001b[0m \tjac[i,:,ib:ie] \u001b[38;5;241m=\u001b[39m \u001b[43ml\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mjacobian\u001b[49m\u001b[43m(\u001b[49m\u001b[43m \u001b[49m\u001b[43mcoef\u001b[49m\u001b[43m[\u001b[49m\u001b[43mib\u001b[49m\u001b[43m:\u001b[49m\u001b[43mie\u001b[49m\u001b[43m]\u001b[49m\u001b[43m \u001b[49m\u001b[43m,\u001b[49m\u001b[43m 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\t\t\u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_l\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mjacobian\u001b[49m\u001b[43m(\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_linear_transform\u001b[49m\u001b[43m(\u001b[49m\u001b[43m \u001b[49m\u001b[43mcoef\u001b[49m\u001b[43m \u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mX\u001b[49m\u001b[43m \u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mreshape\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m-\u001b[39;49m\u001b[38;5;241;43m1\u001b[39;49m\u001b[43m,\u001b[49m\u001b[38;5;241;43m1\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m \u001b[49m\u001b[43m)\u001b[49m \u001b[38;5;241m*\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mdesign_\n", + "File \u001b[0;32m~/Documents/05_Autres Activités/2023_11_Transfert_Code_Yoann/SDFC-python/SDFC/link/__Univariate.py:66\u001b[0m, in \u001b[0;36mULIdentity.jacobian\u001b[0;34m(self, x)\u001b[0m\n\u001b[1;32m 65\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mjacobian\u001b[39m( \u001b[38;5;28mself\u001b[39m , x ):\n\u001b[0;32m---> 66\u001b[0m \t\u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mnp\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mones_like\u001b[49m\u001b[43m(\u001b[49m\u001b[43mx\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m~/miniconda3/envs/TestSDFC/lib/python3.12/site-packages/numpy/core/numeric.py:266\u001b[0m, in \u001b[0;36mones_like\u001b[0;34m(a, dtype, order, subok, shape)\u001b[0m\n\u001b[1;32m 205\u001b[0m \u001b[38;5;250m\u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m 206\u001b[0m \u001b[38;5;124;03mReturn an array of ones with the same shape and type as a given array.\u001b[39;00m\n\u001b[1;32m 207\u001b[0m \n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 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tm.time()\n", + "bayes_kwargs = { \"n_mcmc_drawn_min\" : 5000 , \"n_mcmc_drawn_max\" : 10000 }\n", + "bayes_kwargs[\"transition_type\"]=\"Fixed\"\n", + "bayes_kwargs[\"fixed_cov\"]=np.array([0.1,0.1,0.1,0.1,0.1])\n", + "climCXCB = ns.constrain_law( clim_CX , Yo , verbose = False , **bayes_kwargs )\n", + "t1 = tm.time()\n", + "total = t1-t0\n", + "print(total)\n", + "climCXCB.to_netcdf( (\"clim_CXCB.nc\") ) " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "338afd76", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "54eb3962", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "TestSDFC", + "language": "python", + "name": "testsdfc" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.0" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/test/climCXCB.nc b/test/climCXCB.nc new file mode 100644 index 0000000..79f03c6 Binary files /dev/null and b/test/climCXCB.nc differ diff --git a/test/clim_CX.nc b/test/clim_CX.nc new file mode 100644 index 0000000..887f38b Binary files /dev/null and b/test/clim_CX.nc differ diff --git a/test/clim_CXCB.nc b/test/clim_CXCB.nc new file mode 100644 index 0000000..5a537ac Binary files /dev/null and b/test/clim_CXCB.nc differ diff --git a/test/clim_CXCB_stan.nc b/test/clim_CXCB_stan.nc new file mode 100644 index 0000000..1f5d78f Binary files /dev/null and b/test/clim_CXCB_stan.nc differ diff --git a/test/clim_CX_11281101.nc b/test/clim_CX_11281101.nc new file mode 100644 index 0000000..b968ba4 Binary files /dev/null and b/test/clim_CX_11281101.nc differ diff --git a/test/clim_CX_11281101b.nc b/test/clim_CX_11281101b.nc new file mode 100644 index 0000000..4a36668 Binary files /dev/null and b/test/clim_CX_11281101b.nc differ diff --git a/test/clim_CX_Yoann.nc b/test/clim_CX_Yoann.nc new file mode 100644 index 0000000..5bcd53e Binary files /dev/null and b/test/clim_CX_Yoann.nc differ diff --git a/test/clim_CX_light.nc b/test/clim_CX_light.nc new file mode 100644 index 0000000..c583699 Binary files /dev/null and b/test/clim_CX_light.nc differ diff --git a/test/clim_CX_test_1000.nc b/test/clim_CX_test_1000.nc new file mode 100644 index 0000000..e28022e Binary files /dev/null and b/test/clim_CX_test_1000.nc differ diff --git a/test/stan_files/GEV_non_stationary b/test/stan_files/GEV_non_stationary new file mode 100755 index 0000000..a63e23f Binary files /dev/null and b/test/stan_files/GEV_non_stationary differ diff --git a/test/stan_files/GEV_non_stationary.stan b/test/stan_files/GEV_non_stationary.stan new file mode 100644 index 0000000..da33ec7 --- /dev/null +++ b/test/stan_files/GEV_non_stationary.stan @@ -0,0 +1,60 @@ +functions { + + real gev_lpdf(vector y, vector mu, vector sigma, real xi) { + real m; + m = num_elements(y); + real ll; + if (xi != 0) + ll = -sum(log(sigma)) - (1+1/xi)*sum(log(1+xi*(y-mu)./sigma)) - sum((1+xi*(y-mu)./sigma)^(-1/xi)); + else + ll = -sum(log(sigma)) - sum((y-mu)./sigma) - sum(exp(-((y-mu)./sigma))); + return ll; + + } +} + +data { + int N; + vector[N] Y; + int N_X; + vector[N_X] X; + vector[5] p_m ; + matrix[5,5] p_std ; +} + + +parameters { + vector[5] tirage; + + + + +} +transformed parameters { + vector[N] mu; + vector[N] sigma; + real xi; + + vector[5] para; + para = p_m+ p_std*tirage; + mu =para[2]*X+para[1]; + sigma =exp(para[4]*X+para[3]); + xi= para[5]; + + + + +} + + +model { + + + + +tirage ~ normal(0, 1); + + +Y ~ gev(mu, sigma, xi); + +}