diff --git a/cmdstanpy/model.py b/cmdstanpy/model.py index ece9fd2e..2131f9bf 100644 --- a/cmdstanpy/model.py +++ b/cmdstanpy/model.py @@ -22,7 +22,6 @@ CmdStanArgs, GenerateQuantitiesArgs, LaplaceArgs, - Method, OptimizeArgs, PathfinderArgs, SamplerArgs, @@ -434,7 +433,8 @@ def optimize( ) runset.raise_for_timeouts() - if not runset._check_retcodes(): + converged = runset._check_retcodes() + if not converged: msg = "Error during optimization! Command '{}' failed: {}".format( ' '.join(runset.cmd(0)), runset.get_err_msgs() ) @@ -442,8 +442,12 @@ def optimize( get_logger().warning(msg) else: raise RuntimeError(msg) - mle = CmdStanMLE(runset) - return mle + return CmdStanMLE.from_files( + csv_file=runset.csv_files[0], + config_file=runset.config_files[0], + stdout_file=runset.stdout_files[0], + converged=converged, + ) # pylint: disable=too-many-arguments def sample( @@ -945,7 +949,16 @@ def sample( ) get_logger().warning(msg) - mcmc = CmdStanMCMC(runset) + mcmc = CmdStanMCMC.from_files( + csv_files=runset.csv_files, + config_files=runset.config_files, + metric_files=runset.metric_files or None, + stdout_files=runset.stdout_files, + diagnostic_files=runset.diagnostic_files or None, + profile_files=runset.profile_files or None, + chain_ids=runset.chain_ids, + sig_figs=runset._args.sig_figs, + ) return mcmc def generate_quantities( @@ -1040,7 +1053,13 @@ def generate_quantities( ), ): fit_object = previous_fit - fit_csv_files = previous_fit.runset.csv_files + if isinstance( + previous_fit, + (CmdStanPathfinder, CmdStanLaplace, CmdStanMLE, CmdStanVB), + ): + fit_csv_files = [previous_fit.csv_file] + else: + fit_csv_files = previous_fit.csv_files elif isinstance(previous_fit, list): if len(previous_fit) < 1: raise ValueError( @@ -1072,7 +1091,7 @@ def generate_quantities( elif isinstance(fit_object, CmdStanMLE): chains = 1 chain_ids = [1] - if fit_object._save_iterations: + if fit_object.config.method_config.save_iterations: get_logger().warning( 'MLE contains saved iterations which will be used ' 'to generate additional quantities of interest.' @@ -1329,9 +1348,11 @@ def variational( runset.get_err_msgs() ) raise RuntimeError(msg) - # pylint: disable=invalid-name - vb = CmdStanVB(runset) - return vb + return CmdStanVB.from_files( + csv_file=runset.csv_files[0], + config_file=runset.config_files[0], + stdout_file=runset.stdout_files[0], + ) def pathfinder( self, @@ -1553,7 +1574,11 @@ def pathfinder( ' '.join(runset.cmd(0)), runset.get_err_msgs() ) raise RuntimeError(msg) - return CmdStanPathfinder(runset) + return CmdStanPathfinder.from_files( + csv_file=runset.csv_files[0], + config_file=runset.config_files[0], + stdout_file=runset.stdout_files[0], + ) def log_prob( self, @@ -1739,14 +1764,12 @@ def laplace_sample( else: cmdstan_mode = mode - if cmdstan_mode.runset.method != Method.OPTIMIZE: + if not isinstance(cmdstan_mode, CmdStanMLE): raise ValueError( "Mode must be a CmdStanMLE or a path to an optimize CSV" ) - mode_jacobian = ( - cmdstan_mode.runset._args.method_args.jacobian # type: ignore - ) + mode_jacobian = cmdstan_mode.config.method_config.jacobian if mode_jacobian != jacobian: raise ValueError( "Jacobian argument to optimize and laplace must match!\n" @@ -1754,9 +1777,7 @@ def laplace_sample( f"but optimize was run with jacobian={mode_jacobian}" ) - laplace_args = LaplaceArgs( - cmdstan_mode.runset.csv_files[0], draws, jacobian - ) + laplace_args = LaplaceArgs(cmdstan_mode.csv_file, draws, jacobian) with temp_single_json(data) as _data: args = CmdStanArgs( @@ -1780,7 +1801,12 @@ def laplace_sample( timeout=timeout, ) runset.raise_for_timeouts() - return CmdStanLaplace(runset, cmdstan_mode) + return CmdStanLaplace.from_files( + csv_file=runset.csv_files[0], + config_file=runset.config_files[0], + stdout_file=runset.stdout_files[0], + mode=cmdstan_mode, + ) def _run_cmdstan( self, diff --git a/cmdstanpy/stanfit/__init__.py b/cmdstanpy/stanfit/__init__.py index 9f44d842..b9bae473 100644 --- a/cmdstanpy/stanfit/__init__.py +++ b/cmdstanpy/stanfit/__init__.py @@ -3,15 +3,7 @@ import glob import os -from cmdstanpy.cmdstan_args import ( - CmdStanArgs, - LaplaceArgs, - OptimizeArgs, - PathfinderArgs, - SamplerArgs, - VariationalArgs, -) -from cmdstanpy.utils import check_sampler_csv, get_logger, stancsv +from cmdstanpy.utils import get_logger, stancsv from .gq import CmdStanGQ, PrevFit from .laplace import CmdStanLaplace @@ -35,7 +27,7 @@ ] -def from_csv( +def from_csv( # pylint: disable=too-many-return-statements path: str | list[str] | os.PathLike | None = None, method: str | None = None, ) -> ( @@ -93,7 +85,7 @@ def from_csv( if os.path.splitext(file)[1] == ".csv": csvfiles.append(os.path.join(path, file)) elif os.path.exists(path): - csvfiles.append(str(path)) + csvfiles.append(os.fspath(path)) else: raise ValueError('Invalid path specification: {}'.format(path)) else: @@ -121,156 +113,124 @@ def from_csv( method, config_dict['method'] ) ) - model: str = config_dict['model'] # type: ignore try: if config_dict['method'] == 'sample': - save_warmup = config_dict['save_warmup'] == 1 - chains = len(csvfiles) - num_samples: int = config_dict['num_samples'] # type: ignore - num_warmup: int = config_dict['num_warmup'] # type: ignore - thin: int = config_dict['thin'] # type: ignore - sampler_args = SamplerArgs( - iter_sampling=num_samples, - iter_warmup=num_warmup, - thin=thin, - save_warmup=save_warmup, - ) - # bugfix 425, check for fixed_params output - try: - check_sampler_csv( - csvfiles[0], - iter_sampling=num_samples, - iter_warmup=num_warmup, - thin=thin, - save_warmup=save_warmup, - ) - except ValueError: - try: - check_sampler_csv( - csvfiles[0], - iter_sampling=num_samples, - iter_warmup=num_warmup, - thin=thin, - save_warmup=save_warmup, - ) - sampler_args = SamplerArgs( - iter_sampling=num_samples, - iter_warmup=num_warmup, - thin=thin, - save_warmup=save_warmup, - fixed_param=True, - ) - except ValueError as e: + config_files: list[str] = [] + metric_files: list[str] = [] + for cf in csvfiles: + stem = os.path.splitext(cf)[0] + cfg = stem + '_config.json' + if not os.path.exists(cfg): raise ValueError( - 'Invalid or corrupt Stan CSV output file, ' - ) from e - - cmdstan_args = CmdStanArgs( - model_name=model, - model_exe=model, - chain_ids=[x + 1 for x in range(chains)], - method_args=sampler_args, + 'Sample config file not found at expected path: ' + f'{cfg}' + ) + config_files.append(cfg) + metric = stem + '_metric.json' + if os.path.exists(metric): + metric_files.append(metric) + fit = CmdStanMCMC.from_files( + csv_files=csvfiles, + config_files=config_files, + metric_files=metric_files or None, ) - runset = RunSet(args=cmdstan_args, chains=chains) - runset._csv_files = csvfiles - for i in range(len(runset._retcodes)): - runset._set_retcode(i, 0) - fit = CmdStanMCMC(runset) fit.draws() return fit elif config_dict['method'] == 'optimize': + if len(csvfiles) != 1: + raise ValueError( + 'Expecting a single optimize Stan CSV file, ' + f'found {len(csvfiles)}' + ) + csv_file = csvfiles[0] + config_file = os.path.splitext(csv_file)[0] + '_config.json' + if os.path.exists(config_file): + return CmdStanMLE.from_files( + csv_file=csv_file, config_file=config_file + ) + # Legacy path: no config file, build config from CSV metadata if 'algorithm' not in config_dict: raise ValueError( "Cannot find optimization algorithm in file {}.".format( - csvfiles[0] + csv_file ) ) - algorithm: str = config_dict['algorithm'] # type: ignore - save_iterations = config_dict['save_iterations'] == 1 - jacobian = config_dict.get('jacobian', 0) == 1 + from .metadata import OptimizeConfig, StanConfig - optimize_args = OptimizeArgs( - algorithm=algorithm, - save_iterations=save_iterations, - jacobian=jacobian, + opt_config = OptimizeConfig( + algorithm=config_dict['algorithm'], # type: ignore + save_iterations=config_dict.get('save_iterations', 0) == 1, + jacobian=config_dict.get('jacobian', 0) == 1, + ) + stan_config = StanConfig[OptimizeConfig].model_validate( + { + 'model_name': config_dict['model'], + 'stan_major_version': str( + config_dict.get('stan_version_major', '') + ), + 'stan_minor_version': str( + config_dict.get('stan_version_minor', '') + ), + 'stan_patch_version': str( + config_dict.get('stan_version_patch', '') + ), + 'method_config': opt_config.model_dump(), + } ) - cmdstan_args = CmdStanArgs( - model_name=model, - model_exe=model, - chain_ids=None, - method_args=optimize_args, + return CmdStanMLE( + metadata=InferenceMetadata.from_csv(csv_file), + model_name=stan_config.model_name, + csv_file=csv_file, + config=stan_config, ) - runset = RunSet(args=cmdstan_args) - runset._csv_files = csvfiles - for i in range(len(runset._retcodes)): - runset._set_retcode(i, 0) - return CmdStanMLE(runset) elif config_dict['method'] == 'variational': - if 'algorithm' not in config_dict: + if len(csvfiles) != 1: raise ValueError( - "Cannot find variational algorithm in file {}.".format( - csvfiles[0] - ) + 'Expecting a single variational Stan CSV file, ' + f'found {len(csvfiles)}' ) - variational_args = VariationalArgs( - algorithm=config_dict['algorithm'], # type: ignore - iter=config_dict['iter'], # type: ignore - grad_samples=config_dict['grad_samples'], # type: ignore - elbo_samples=config_dict['elbo_samples'], # type: ignore - eta=config_dict['eta'], # type: ignore - tol_rel_obj=config_dict['tol_rel_obj'], # type: ignore - eval_elbo=config_dict['eval_elbo'], # type: ignore - output_samples=config_dict['output_samples'], # type: ignore - ) - cmdstan_args = CmdStanArgs( - model_name=model, - model_exe=model, - chain_ids=None, - method_args=variational_args, + csv_file = csvfiles[0] + config_file = os.path.splitext(csv_file)[0] + '_config.json' + if not os.path.exists(config_file): + raise ValueError( + 'Variational config file not found at expected path: ' + f'{config_file}' + ) + return CmdStanVB.from_files( + csv_file=csv_file, config_file=config_file ) - runset = RunSet(args=cmdstan_args) - runset._csv_files = csvfiles - for i in range(len(runset._retcodes)): - runset._set_retcode(i, 0) - return CmdStanVB(runset) elif config_dict['method'] == 'laplace': - jacobian = config_dict['jacobian'] == 1 - laplace_args = LaplaceArgs( - mode=config_dict['mode'], # type: ignore - draws=config_dict['draws'], # type: ignore - jacobian=jacobian, - ) - cmdstan_args = CmdStanArgs( - model_name=model, - model_exe=model, - chain_ids=None, - method_args=laplace_args, - ) - runset = RunSet(args=cmdstan_args) - runset._csv_files = csvfiles - for i in range(len(runset._retcodes)): - runset._set_retcode(i, 0) - mode: CmdStanMLE = from_csv( - config_dict['mode'], # type: ignore - method='optimize', + if len(csvfiles) != 1: + raise ValueError( + 'Expecting a single Laplace Stan CSV file, ' + f'found {len(csvfiles)}' + ) + csv_file = csvfiles[0] + config_file = os.path.splitext(csv_file)[0] + '_config.json' + if not os.path.exists(config_file): + raise ValueError( + 'Laplace config file not found at expected path: ' + f'{config_file}' + ) + return CmdStanLaplace.from_files( + csv_file=csv_file, config_file=config_file ) - return CmdStanLaplace(runset, mode=mode) elif config_dict['method'] == 'pathfinder': - pathfinder_args = PathfinderArgs( - num_draws=config_dict['num_draws'], # type: ignore - num_paths=config_dict['num_paths'], # type: ignore - ) - cmdstan_args = CmdStanArgs( - model_name=model, - model_exe=model, - chain_ids=None, - method_args=pathfinder_args, + if len(csvfiles) != 1: + raise ValueError( + 'Expecting a single Pathfinder Stan CSV file, ' + f'found {len(csvfiles)}' + ) + csv_file = csvfiles[0] + config_file = os.path.splitext(csv_file)[0] + '_config.json' + if not os.path.exists(config_file): + raise ValueError( + 'Pathfinder config file not found at expected path: ' + f'{config_file}' + ) + return CmdStanPathfinder.from_files( + csv_file=csv_file, config_file=config_file ) - runset = RunSet(args=cmdstan_args) - runset._csv_files = csvfiles - for i in range(len(runset._retcodes)): - runset._set_retcode(i, 0) - return CmdStanPathfinder(runset) else: get_logger().warning( 'Unable to process CSV output files from method %s.', diff --git a/cmdstanpy/stanfit/gq.py b/cmdstanpy/stanfit/gq.py index 7046fd61..7cbf09d6 100644 --- a/cmdstanpy/stanfit/gq.py +++ b/cmdstanpy/stanfit/gq.py @@ -6,15 +6,8 @@ from __future__ import annotations from collections import Counter -from typing import ( - Any, - Generic, - Hashable, - MutableMapping, - NoReturn, - TypeVar, - overload, -) +from collections.abc import Hashable +from typing import Any, Generic, MutableMapping, NoReturn, TypeVar, overload import numpy as np import pandas as pd @@ -216,7 +209,7 @@ def draws( ) elif ( isinstance(self.previous_fit, CmdStanMLE) - and not self.previous_fit._save_iterations + and not self.previous_fit.config.method_config.save_iterations ): get_logger().warning( "MLE doesn't contain draws from pre-convergence iterations," @@ -239,7 +232,7 @@ def draws( drop_cols: list[int] = [] for dup in dups: drop_cols.extend( - self.previous_fit._metadata.stan_vars[dup].columns() + self.previous_fit.metadata.stan_vars[dup].columns() ) start_idx, _ = self._draws_start(inc_warmup) @@ -308,7 +301,7 @@ def draws_pd( ) elif ( isinstance(self.previous_fit, CmdStanMLE) - and not self.previous_fit._save_iterations + and not self.previous_fit.config.method_config.save_iterations ): get_logger().warning( "MLE doesn't contain draws from pre-convergence iterations," @@ -333,10 +326,8 @@ def draws_pd( gq_cols.extend( self.column_names[info.start_idx : info.end_idx] ) - elif ( - inc_sample and var in self.previous_fit._metadata.stan_vars - ): - info = self.previous_fit._metadata.stan_vars[var] + elif inc_sample and var in self.previous_fit.metadata.stan_vars: + info = self.previous_fit.metadata.stan_vars[var] mcmc_vars.extend( self.previous_fit.column_names[ info.start_idx : info.end_idx @@ -472,7 +463,7 @@ def draws_xr( for var in vars_list: if var not in self._metadata.stan_vars: if inc_sample and ( - var in self.previous_fit._metadata.stan_vars + var in self.previous_fit.metadata.stan_vars ): mcmc_vars_list.append(var) dup_vars.append(var) @@ -481,7 +472,7 @@ def draws_xr( else: vars_list = list(self._metadata.stan_vars.keys()) if inc_sample: - for var in self.previous_fit._metadata.stan_vars.keys(): + for var in self.previous_fit.metadata.stan_vars.keys(): if var not in vars_list and var not in mcmc_vars_list: mcmc_vars_list.append(var) for var in dup_vars: @@ -490,7 +481,7 @@ def draws_xr( self._assemble_generated_quantities() num_draws = self.previous_fit.num_draws_sampling - sample_config = self.previous_fit._metadata.cmdstan_config + sample_config = self.previous_fit.metadata.cmdstan_config attrs: MutableMapping[Hashable, Any] = { "stan_version": f"{sample_config['stan_version_major']}." f"{sample_config['stan_version_minor']}." @@ -518,7 +509,7 @@ def draws_xr( for var in mcmc_vars_list: build_xarray_data( data, - self.previous_fit._metadata.stan_vars[var], + self.previous_fit.metadata.stan_vars[var], self.previous_fit.draws(inc_warmup=inc_warmup), ) @@ -570,7 +561,7 @@ def stan_variable(self, var: str, **kwargs: bool) -> np.ndarray: CmdStanVB.stan_variable CmdStanLaplace.stan_variable """ - model_var_names = self.previous_fit._metadata.stan_vars.keys() + model_var_names = self.previous_fit.metadata.stan_vars.keys() gq_var_names = self._metadata.stan_vars.keys() if not (var in model_var_names or var in gq_var_names): raise ValueError( @@ -611,7 +602,7 @@ def stan_variables(self, **kwargs: bool) -> dict[str, np.ndarray]: CmdStanLaplace.stan_variables """ result = {} - sample_var_names = self.previous_fit._metadata.stan_vars.keys() + sample_var_names = self.previous_fit.metadata.stan_vars.keys() gq_var_names = self._metadata.stan_vars.keys() for name in gq_var_names: result[name] = self.stan_variable(name, **kwargs) @@ -658,7 +649,7 @@ def _draws_start(self, inc_warmup: bool) -> tuple[int, int]: elif isinstance(p_fit, CmdStanMLE): num_draws = 1 - if p_fit._save_iterations: + if p_fit.config.method_config.save_iterations: opt_iters = len(p_fit.optimized_iterations_np) # type: ignore if inc_warmup: num_draws = opt_iters @@ -684,7 +675,7 @@ def _previous_draws(self, inc_warmup: bool) -> np.ndarray: if isinstance(p_fit, CmdStanMCMC): return p_fit.draws(inc_warmup=inc_warmup) elif isinstance(p_fit, CmdStanMLE): - if inc_warmup and p_fit._save_iterations: + if inc_warmup and p_fit.config.method_config.save_iterations: return p_fit.optimized_iterations_np[:, None] # type: ignore return np.atleast_2d( # type: ignore @@ -712,7 +703,7 @@ def _previous_draws_pd( return p_fit.draws_pd(vars or None, inc_warmup=inc_warmup) elif isinstance(p_fit, CmdStanMLE): - if inc_warmup and p_fit._save_iterations: + if inc_warmup and p_fit.config.method_config.save_iterations: return p_fit.optimized_iterations_pd[sel] # type: ignore else: return p_fit.optimized_params_pd[sel] diff --git a/cmdstanpy/stanfit/laplace.py b/cmdstanpy/stanfit/laplace.py index bab78c3f..7913fc21 100644 --- a/cmdstanpy/stanfit/laplace.py +++ b/cmdstanpy/stanfit/laplace.py @@ -4,7 +4,12 @@ from __future__ import annotations -from typing import Any, Hashable, MutableMapping +import os +import shutil +from collections.abc import Hashable +from dataclasses import dataclass, field +from pathlib import Path +from typing import Any, MutableMapping import numpy as np import pandas as pd @@ -16,30 +21,67 @@ except ImportError: XARRAY_INSTALLED = False -from cmdstanpy.cmdstan_args import Method from cmdstanpy.utils import stancsv from cmdstanpy.utils.data_munging import build_xarray_data -from .metadata import InferenceMetadata +from .metadata import InferenceMetadata, LaplaceConfig, StanConfig, parse_config from .mle import CmdStanMLE -from .runset import RunSet # TODO list: # - docs and example notebook +@dataclass class CmdStanLaplace: - def __init__(self, runset: RunSet, mode: CmdStanMLE) -> None: - """Initialize object.""" - if not runset.method == Method.LAPLACE: - raise ValueError( - 'Wrong runset method, expecting laplace runset, ' - 'found method {}'.format(runset.method) - ) - self.runset = runset - self._mode = mode - self._draws: np.ndarray = np.array(()) - self._metadata = InferenceMetadata.from_csv(self.runset.csv_files[0]) + """ + Container for outputs from the Laplace approximation. + Created by :meth:`CmdStanModel.laplace_sample`. + """ + + metadata: InferenceMetadata + model_name: str + csv_file: str + config: StanConfig[LaplaceConfig] + mode: CmdStanMLE + config_file: str | None = None # None if config object passed directly + stdout_file: str | None = None + _draws: np.ndarray = field(default_factory=lambda: np.array(()), init=False) + + @classmethod + def from_files( + cls, + csv_file: str | os.PathLike, + config_file: str | os.PathLike, + stdout_file: str | os.PathLike | None = None, + mode: CmdStanMLE | None = None, + ) -> CmdStanLaplace: + # Local import to avoid circular dependency with stanfit.__init__ + from cmdstanpy.stanfit import from_csv + + with open(config_file) as f: + stan_config = parse_config(f.read(), LaplaceConfig) + + metadata = InferenceMetadata.from_csv(csv_file) + if mode is None: + mle = from_csv(stan_config.method_config.mode, method='optimize') + if not isinstance(mle, CmdStanMLE): + raise TypeError( + f'Expected CmdStanMLE from mode file ' + f'{stan_config.method_config.mode!r}, got ' + f'{type(mle).__name__}' + ) + mode = mle + return cls( + metadata=metadata, + csv_file=os.fspath(csv_file), + model_name=stan_config.model_name, + config=stan_config, + mode=mode, + config_file=os.fspath(config_file), + stdout_file=( + os.fspath(stdout_file) if stdout_file is not None else None + ), + ) def create_inits( self, seed: int | None = None, chains: int = 4 @@ -63,13 +105,13 @@ def create_inits( draw = self._draws[idxs[0]] return { name: var.extract_reshape(draw) - for name, var in self._metadata.stan_vars.items() + for name, var in self.metadata.stan_vars.items() } else: return [ { name: var.extract_reshape(self._draws[idx]) - for name, var in self._metadata.stan_vars.items() + for name, var in self.metadata.stan_vars.items() } for idx in idxs ] @@ -78,15 +120,12 @@ def _assemble_draws(self) -> None: if self._draws.shape != (0,): return - csv_file = self.runset.csv_files[0] try: - *_, draws = stancsv.parse_comments_header_and_draws( - self.runset.csv_files[0] - ) + *_, draws = stancsv.parse_comments_header_and_draws(self.csv_file) self._draws = stancsv.csv_bytes_list_to_numpy(draws) except Exception as exc: raise ValueError( - f"An error occurred when parsing Stan csv {csv_file}" + f"An error occurred when parsing Stan csv {self.csv_file}" ) from exc def stan_variable(self, var: str) -> np.ndarray: @@ -110,7 +149,7 @@ def stan_variable(self, var: str) -> np.ndarray: """ self._assemble_draws() try: - out: np.ndarray = self._metadata.stan_vars[var].extract_reshape( + out: np.ndarray = self.metadata.stan_vars[var].extract_reshape( self._draws ) return out @@ -119,7 +158,7 @@ def stan_variable(self, var: str) -> np.ndarray: raise ValueError( f'Unknown variable name: {var}\n' 'Available variables are ' - + ", ".join(self._metadata.stan_vars.keys()) + + ", ".join(self.metadata.stan_vars.keys()) ) def stan_variables(self) -> dict[str, np.ndarray]: @@ -140,7 +179,7 @@ def stan_variables(self) -> dict[str, np.ndarray]: CmdStanVB.stan_variables """ result = {} - for name in self._metadata.stan_vars: + for name in self.metadata.stan_vars: result[name] = self.stan_variable(name) return result @@ -155,7 +194,7 @@ def method_variables(self) -> dict[str, np.ndarray]: self._assemble_draws() return { name: var.extract_reshape(self._draws) - for name, var in self._metadata.method_vars.items() + for name, var in self.metadata.method_vars.items() } def draws(self) -> np.ndarray: @@ -181,10 +220,10 @@ def draws_pd( cols = [] if vars is not None: for var in dict.fromkeys(vars_list): - if var in self._metadata.method_vars: + if var in self.metadata.method_vars: cols.append(var) - elif var in self._metadata.stan_vars: - info = self._metadata.stan_vars[var] + elif var in self.metadata.stan_vars: + info = self.metadata.stan_vars[var] cols.extend( self.column_names[info.start_idx : info.end_idx] ) @@ -216,7 +255,7 @@ def draws_xr( ) if vars is None: - vars_list = list(self._metadata.stan_vars.keys()) + vars_list = list(self.metadata.stan_vars.keys()) elif isinstance(vars, str): vars_list = [vars] else: @@ -224,7 +263,7 @@ def draws_xr( self._assemble_draws() - meta = self._metadata.cmdstan_config + meta = self.metadata.cmdstan_config attrs: MutableMapping[Hashable, Any] = { "stan_version": f"{meta['stan_version_major']}." f"{meta['stan_version_minor']}.{meta['stan_version_patch']}", @@ -239,7 +278,7 @@ def draws_xr( for var in vars_list: build_xarray_data( data, - self._metadata.stan_vars[var], + self.metadata.stan_vars[var], self._draws[:, np.newaxis, :], ) return ( @@ -248,38 +287,20 @@ def draws_xr( .squeeze() ) - @property - def mode(self) -> CmdStanMLE: - """ - Return the maximum a posteriori estimate (mode) - as a :class:`CmdStanMLE` object. - """ - return self._mode - - @property - def metadata(self) -> InferenceMetadata: - """ - Returns object which contains CmdStan configuration as well as - information about the names and structure of the inference method - and model output variables. - """ - return self._metadata - def __repr__(self) -> str: - mode = '\n'.join( + mode_repr = '\n'.join( ['\t' + line for line in repr(self.mode).splitlines()] )[1:] - rep = 'CmdStanLaplace: model={} \nmode=({})\n{}'.format( - self.runset.model, - mode, - self.runset._args.method_args.compose(0, cmd=[]), - ) - rep = '{}\n csv_files:\n\t{}\n output_files:\n\t{}'.format( - rep, - '\n\t'.join(self.runset.csv_files), - '\n\t'.join(self.runset.stdout_files), - ) - return rep + lines = [ + f'CmdStanLaplace: model={self.model_name}', + f' mode=({mode_repr})', + f' csv_file:\n\t{self.csv_file}', + ] + if self.config_file is not None: + lines.append(f' config_file:\n\t{self.config_file}') + if self.stdout_file is not None: + lines.append(f' output_file:\n\t{self.stdout_file}') + return '\n'.join(lines) def __getattr__(self, attr: str) -> np.ndarray: """Synonymous with ``fit.stan_variable(attr)""" @@ -307,17 +328,29 @@ def column_names(self) -> tuple[str, ...]: and quantities of interest. Corresponds to Stan CSV file header row, with names munged to array notation, e.g. `beta[1]` not `beta.1`. """ - return self._metadata.column_names + return self.metadata.column_names def save_csvfiles(self, dir: str | None = None) -> None: """ - Move output CSV files to specified directory. + Move output CSV file, and any associated config and stdout files, + to the specified directory. Updates the corresponding attributes on + this object to point at the new locations. :param dir: directory path See Also -------- - stanfit.RunSet.save_csvfiles cmdstanpy.from_csv """ - self.runset.save_csvfiles(dir) + dest = Path(dir) if dir is not None else Path.cwd() + dest.mkdir(parents=True, exist_ok=True) + + for attr in ('csv_file', 'config_file', 'stdout_file'): + src = getattr(self, attr) + if src is None: + continue + dst = dest / Path(src).name + if dst.exists(): + raise ValueError(f'File exists, not overwriting: {dst}') + shutil.move(src, dst) + setattr(self, attr, os.fspath(dst)) diff --git a/cmdstanpy/stanfit/mcmc.py b/cmdstanpy/stanfit/mcmc.py index b6704a2c..c29c71c4 100644 --- a/cmdstanpy/stanfit/mcmc.py +++ b/cmdstanpy/stanfit/mcmc.py @@ -6,8 +6,12 @@ import math import os +import shutil +from collections.abc import Hashable, MutableMapping, Sequence +from dataclasses import dataclass, field from io import StringIO -from typing import Any, Hashable, MutableMapping, Sequence +from pathlib import Path +from typing import Any import numpy as np import pandas as pd @@ -19,8 +23,7 @@ except ImportError: XARRAY_INSTALLED = False -from cmdstanpy import _CMDSTAN_SAMPLING, _CMDSTAN_THIN, _CMDSTAN_WARMUP, _TMPDIR -from cmdstanpy.cmdstan_args import Method, SamplerArgs +from cmdstanpy import _TMPDIR from cmdstanpy.utils import ( EXTENSION, build_xarray_data, @@ -33,72 +36,176 @@ stancsv, ) -from .metadata import InferenceMetadata, MetricInfo -from .runset import RunSet +from .metadata import ( + InferenceMetadata, + MetricInfo, + SampleConfig, + StanConfig, + parse_config, +) +@dataclass class CmdStanMCMC: """ Container for outputs from CmdStan sampler run. Provides methods to summarize and diagnose the model fit and accessor methods to access the entire sample or - individual items. Created by :meth:`CmdStanModel.sample` + individual items. Created by :meth:`CmdStanModel.sample`. The sample is lazily instantiated on first access of either the resulting sample or the HMC tuning parameters, i.e., the step size and metric. """ - # pylint: disable=too-many-public-methods - def __init__( - self, - runset: RunSet, - ) -> None: - """Initialize object.""" - if not runset.method == Method.SAMPLE: + # pylint: disable=too-many-instance-attributes,too-many-public-methods + + metadata: InferenceMetadata + model_name: str + csv_files: list[str] + config: StanConfig[SampleConfig] + chain_ids: list[int] + config_files: list[str] | None = None + metric_files: list[str] | None = None + stdout_files: list[str] | None = None + diagnostic_files: list[str] | None = None + profile_files: list[str] | None = None + sig_figs: int | None = None + + _draws: np.ndarray = field(default_factory=lambda: np.array(()), init=False) + _metric_type: str | None = field(default=None, init=False) + _metric: np.ndarray = field( + default_factory=lambda: np.array(()), init=False + ) + _step_size: np.ndarray = field( + default_factory=lambda: np.array(()), init=False + ) + _divergences: np.ndarray = field( + default_factory=lambda: np.array(()), init=False + ) + _max_treedepths: np.ndarray = field( + default_factory=lambda: np.array(()), init=False + ) + _chain_time: list[dict[str, float]] = field( + default_factory=list, init=False + ) + + def __post_init__(self) -> None: + self._divergences = np.zeros(self.chains, dtype=int) + self._max_treedepths = np.zeros(self.chains, dtype=int) + self._validate_configs() + self._validate_csv_files() + if not self._is_fixed_param: + self._check_sampler_diagnostics() + + @classmethod + def from_files( + cls, + csv_files: Sequence[str | os.PathLike], + config_files: Sequence[str | os.PathLike] | str | os.PathLike, + metric_files: Sequence[str | os.PathLike] | None = None, + stdout_files: Sequence[str | os.PathLike] | None = None, + diagnostic_files: Sequence[str | os.PathLike] | None = None, + profile_files: Sequence[str | os.PathLike] | None = None, + chain_ids: Sequence[int] | None = None, + sig_figs: int | None = None, + ) -> CmdStanMCMC: + """Build a CmdStanMCMC from output files. + + ``config_files`` may be a single path (when CmdStan ran multiple chains + in one process) or a per-chain list. + """ + csv_files_list = [os.fspath(f) for f in csv_files] + chains = len(csv_files_list) + if chains == 0: + raise ValueError('At least one CSV file is required.') + + if isinstance(config_files, (str, os.PathLike)): + config_files_list = [os.fspath(config_files)] + else: + config_files_list = [os.fspath(f) for f in config_files] + if not config_files_list: + raise ValueError('At least one config file is required.') + + with open(config_files_list[0]) as f: + stan_config = parse_config(f.read(), SampleConfig) + + if sig_figs is None: + # Recover the output precision from the config so fits rebuilt + # from files (e.g. via from_csv) report it. A value of -1 is + # CmdStan's default and leaves sig_figs unset (i.e. 6 digits). + output = (stan_config.model_extra or {}).get('output', {}) + cfg_sig_figs = ( + output.get('sig_figs') if isinstance(output, dict) else None + ) + if isinstance(cfg_sig_figs, int) and cfg_sig_figs > 0: + sig_figs = cfg_sig_figs + + def _maybe_list( + files: Sequence[str | os.PathLike] | None, + ) -> list[str] | None: + return [os.fspath(f) for f in files] if files is not None else None + + metric_files_list = _maybe_list(metric_files) + if metric_files_list is not None and len(metric_files_list) != chains: raise ValueError( - 'Wrong runset method, expecting sample runset, ' - 'found method {}'.format(runset.method) + f'Expected one metric file per chain ({chains}), ' + f'got {len(metric_files_list)}.' ) - self.runset = runset - - # info from runset to be exposed - sampler_args = self.runset._args.method_args - assert isinstance( - sampler_args, SamplerArgs - ) # make the typechecker happy - self._iter_sampling: int = _CMDSTAN_SAMPLING - if sampler_args.iter_sampling is not None: - self._iter_sampling = sampler_args.iter_sampling - self._iter_warmup: int = _CMDSTAN_WARMUP - if sampler_args.iter_warmup is not None: - self._iter_warmup = sampler_args.iter_warmup - self._thin: int = _CMDSTAN_THIN - if sampler_args.thin is not None: - self._thin = sampler_args.thin - self._is_fixed_param = sampler_args.fixed_param - self._save_warmup: bool = sampler_args.save_warmup - self._sig_figs = runset._args.sig_figs - - # info from CSV values, instantiated lazily - self._draws: np.ndarray = np.array(()) - # only valid when not is_fixed_param - self._metric_type: str | None = None - self._metric: np.ndarray = np.array(()) - self._step_size: np.ndarray = np.array(()) - self._divergences: np.ndarray = np.zeros(self.runset.chains, dtype=int) - self._max_treedepths: np.ndarray = np.zeros( - self.runset.chains, dtype=int + stdout_files_list = _maybe_list(stdout_files) + diagnostic_files_list = _maybe_list(diagnostic_files) + profile_files_list = _maybe_list(profile_files) + + if chain_ids is None: + chain_ids_list = list(range(1, chains + 1)) + else: + chain_ids_list = list(chain_ids) + if len(chain_ids_list) != chains: + raise ValueError( + f'Got {chains} csv files but {len(chain_ids_list)} ' + 'chain ids' + ) + + metadata = InferenceMetadata.from_csv(csv_files_list[0]) + + return cls( + metadata=metadata, + model_name=stan_config.model_name, + csv_files=csv_files_list, + config=stan_config, + chain_ids=chain_ids_list, + config_files=config_files_list, + metric_files=metric_files_list, + stdout_files=stdout_files_list, + diagnostic_files=diagnostic_files_list, + profile_files=profile_files_list, + sig_figs=sig_figs, ) - self._chain_time: list[dict[str, float]] = [] - # info from CSV header and initial and final comment blocks - config = self._validate_csv_files() - self._metadata: InferenceMetadata = InferenceMetadata(config) - self._chain_metric_info: list[MetricInfo] = [] + @property + def chains(self) -> int: + """Number of chains.""" + return len(self.csv_files) - if not self._is_fixed_param: - self._check_sampler_diagnostics() + @property + def _iter_sampling(self) -> int: + return self.config.method_config.num_samples + + @property + def _iter_warmup(self) -> int: + return self.config.method_config.num_warmup + + @property + def _thin(self) -> int: + return self.config.method_config.thin + + @property + def _save_warmup(self) -> bool: + return self.config.method_config.save_warmup + + @property + def _is_fixed_param(self) -> bool: + return self.config.method_config.algorithm == 'fixed_param' def create_inits( self, seed: int | None = None, chains: int = 4 @@ -129,30 +236,29 @@ def create_inits( draw = self._draws[draw_idxs[0], chain_idxs[0]] return { name: var.extract_reshape(draw) - for name, var in self._metadata.stan_vars.items() + for name, var in self.metadata.stan_vars.items() } else: return [ { name: var.extract_reshape(self._draws[d, i]) - for name, var in self._metadata.stan_vars.items() + for name, var in self.metadata.stan_vars.items() } for d, i in zip(draw_idxs, chain_idxs) ] def __repr__(self) -> str: - repr = 'CmdStanMCMC: model={} chains={}{}'.format( - self.runset.model, - self.runset.chains, - self.runset._args.method_args.compose(0, cmd=[]), - ) - repr = '{}\n csv_files:\n\t{}\n output_files:\n\t{}'.format( - repr, - '\n\t'.join(self.runset.csv_files), - '\n\t'.join(self.runset.stdout_files), - ) - # TODO - hamiltonian, profiling files - return repr + mc = self.config.method_config + lines = [ + f'CmdStanMCMC: model={self.model_name} chains={self.chains}' + f' method={mc.method} algorithm={mc.algorithm}', + ' csv_files:\n\t' + '\n\t'.join(self.csv_files), + ] + if self.config_files is not None: + lines.append(' config_files:\n\t' + '\n\t'.join(self.config_files)) + if self.stdout_files is not None: + lines.append(' output_files:\n\t' + '\n\t'.join(self.stdout_files)) + return '\n'.join(lines) def __getattr__(self, attr: str) -> np.ndarray: """Synonymous with ``fit.stan_variable(attr)""" @@ -170,17 +276,16 @@ def __getstate__(self) -> dict: # for details. We call _assemble_draws to ensure posterior samples have # been loaded prior to serialization. self._assemble_draws() - return self.__dict__ - - @property - def chains(self) -> int: - """Number of chains.""" - return self.runset.chains + state = self.__dict__.copy() + # StanConfig[SampleConfig] is a generic alias with no module-level + # name, so we serialize it as a plain dict for pickle compatibility. + state['config'] = self.config.model_dump() + return state - @property - def chain_ids(self) -> list[int]: - """Chain ids.""" - return self.runset.chain_ids + def __setstate__(self, state: dict) -> None: + config_dict = state.pop('config') + self.__dict__.update(state) + self.config = StanConfig[SampleConfig].model_validate(config_dict) @property def num_draws_warmup(self) -> int: @@ -195,15 +300,6 @@ def num_draws_sampling(self) -> int: """ return int(math.ceil((self._iter_sampling) / self._thin)) - @property - def metadata(self) -> InferenceMetadata: - """ - Returns object which contains CmdStan configuration as well as - information about the names and structure of the inference method - and model output variables. - """ - return self._metadata - @property def column_names(self) -> tuple[str, ...]: """ @@ -212,22 +308,18 @@ def column_names(self) -> tuple[str, ...]: and quantities of interest. Corresponds to Stan CSV file header row, with names munged to array notation, e.g. `beta[1]` not `beta.1`. """ - return self._metadata.column_names + return self.metadata.column_names @property def metric_type(self) -> str | None: """ Metric type used for adaptation, either 'diag_e' or 'dense_e', according to CmdStan arg 'metric'. - When sampler algorithm 'fixed_param' is specified, metric_type is None. + Returns None when sampler algorithm 'fixed_param' is specified, or when + no metric files are available (e.g. adaptation was disabled, so CmdStan + wrote no metric output). """ - if self._is_fixed_param: - return None - - if self._metric_type is None: - self._parse_metric_info() - - return self._metric_type + return self._metric_type if self._ensure_metric_parsed() else None @property def inv_metric(self) -> np.ndarray | None: @@ -235,32 +327,21 @@ def inv_metric(self) -> np.ndarray | None: Inverse mass matrix used by sampler for each chain. Returns a ``nchains x nparams`` array when metric_type is 'diag_e', a ``nchains x nparams x nparams`` array when metric_type is 'dense_e', - or ``None`` when metric_type is 'unit_e' or algorithm is 'fixed_param'. + or ``None`` when metric_type is 'unit_e', algorithm is 'fixed_param', + or no metric files are available. """ - if self._is_fixed_param: - return None - - if self._metric_type is None: - self._parse_metric_info() - - if self.metric_type == 'unit_e': + if not self._ensure_metric_parsed() or self._metric_type == 'unit_e': return None - return self._metric @property def step_size(self) -> np.ndarray | None: """ Step size used by sampler for each chain. - When sampler algorithm 'fixed_param' is specified, step size is None. + Returns None when sampler algorithm 'fixed_param' is specified, or when + no metric files are available (e.g. adaptation was disabled). """ - if self._is_fixed_param: - return None - - if self._metric_type is None: - self._parse_metric_info() - - return self._step_size + return self._step_size if self._ensure_metric_parsed() else None @property def thin(self) -> int: @@ -336,88 +417,126 @@ def draws( return flatten_chains(self._draws[start_idx:, :, :]) return self._draws[start_idx:, :, :] - def _validate_csv_files(self) -> dict[str, Any]: + def _validate_configs(self) -> None: + """ + Checks that the CmdStan config JSONs for all chains agree on the + settings which affect how the draws are laid out, plus the model + name and Stan version. + + When CmdStan ran all chains in a single process there is only one + config file, so there is nothing to cross-check. + + Raises exception when inconsistencies detected. + """ + if self.config_files is None or len(self.config_files) < 2: + return + + def _comparable(config: StanConfig[SampleConfig]) -> dict[str, Any]: + method_config = config.method_config + extra = config.model_extra or {} + return { + 'model': config.model_name, + 'stan_version_major': config.stan_major_version, + 'stan_version_minor': config.stan_minor_version, + 'stan_version_patch': config.stan_patch_version, + 'stanc_version': extra.get('stanc_version'), + 'num_samples': method_config.num_samples, + 'num_warmup': method_config.num_warmup, + 'save_warmup': method_config.save_warmup, + 'thin': method_config.thin, + } + + expected = _comparable(self.config) + for config_file in self.config_files[1:]: + with open(config_file) as f: + other = _comparable(parse_config(f.read(), SampleConfig)) + for key, want in expected.items(): + if other[key] != want: + raise ValueError( + 'CmdStan config mismatch in config file ' + f'{config_file}: arg {key} is {other[key]}, ' + f'expected {want}' + ) + + def _validate_csv_files(self) -> None: """ - Checks that Stan CSV output files for all chains are consistent - and returns dict containing config and column names. + Checks that the draws in the Stan CSV output files are consistent + with the run configuration. Tabulates per-chain timings, plus + sampling iters which are divergent or at max treedepth. - Tabulates sampling iters which are divergent or at max treedepth Raises exception when inconsistencies detected. """ - dzero = {} for i in range(self.chains): - if i == 0: - dzero = check_sampler_csv( - path=self.runset.csv_files[i], - iter_sampling=self._iter_sampling, - iter_warmup=self._iter_warmup, - save_warmup=self._save_warmup, - thin=self._thin, - ) - self._chain_time.append(dzero['time']) - if not self._is_fixed_param: - self._divergences[i] = dzero['ct_divergences'] - self._max_treedepths[i] = dzero['ct_max_treedepth'] - else: - drest = check_sampler_csv( - path=self.runset.csv_files[i], - iter_sampling=self._iter_sampling, - iter_warmup=self._iter_warmup, - save_warmup=self._save_warmup, - thin=self._thin, - ) - self._chain_time.append(drest['time']) - for key in dzero: - # check args that matter for parsing, plus name, version - if ( - key - in [ - 'stan_version_major', - 'stan_version_minor', - 'stan_version_patch', - 'stanc_version', - 'model', - 'num_samples', - 'num_warmup', - 'save_warmup', - 'thin', - 'refresh', - ] - and dzero[key] != drest[key] - ): - raise ValueError( - 'CmdStan config mismatch in Stan CSV file {}: ' - 'arg {} is {}, expected {}'.format( - self.runset.csv_files[i], - key, - dzero[key], - drest[key], - ) - ) - if not self._is_fixed_param: - self._divergences[i] = drest['ct_divergences'] - self._max_treedepths[i] = drest['ct_max_treedepth'] - return dzero + d = check_sampler_csv( + path=self.csv_files[i], + iter_sampling=self._iter_sampling, + iter_warmup=self._iter_warmup, + save_warmup=self._save_warmup, + thin=self._thin, + ) + self._chain_time.append(d['time']) + if not self._is_fixed_param: + self._divergences[i] = d['ct_divergences'] + self._max_treedepths[i] = d['ct_max_treedepth'] + + def _ensure_metric_parsed(self) -> bool: + """Parse the metric info if available, returning whether it is. + + Returns False (and the metric properties then report None) for + fixed-param runs or when no metric files were written. + """ + if self._is_fixed_param: + return False + if self._metric_type is None: + if not self._metric_available(): + return False + self._parse_metric_info() + return True + + def _metric_available(self) -> bool: + """Whether a metric JSON is present on disk for every chain. + + Returns False when there are no metric files at all -- either none + were passed, or CmdStan wrote none because adaptation was disabled -- + so the metric properties can report None rather than fail. Raises when + some but not all chains have a metric file, since parsing a partial set + would silently misalign the per-chain metric arrays. + """ + if self.metric_files is None: + return False + existing = [os.path.exists(f) for f in self.metric_files] + if not any(existing): + return False + if not all(existing): + missing = [ + f for f, ok in zip(self.metric_files, existing) if not ok + ] + raise ValueError( + 'Metric files missing for some chains: ' + ', '.join(missing) + ) + return True def _parse_metric_info(self) -> None: """Extracts metric type, inv_metric, and step size information from the parsed metric JSONs.""" - self._chain_metric_info = [] - for mf in self.runset.metric_files: + if self.metric_files is None: + raise ValueError( + 'No metric files available; cannot read metric info.' + ) + chain_metric_info: list[MetricInfo] = [] + for mf in self.metric_files: with open(mf) as f: - self._chain_metric_info.append( + chain_metric_info.append( MetricInfo.model_validate_json(f.read()) ) - metric_types = {cmi.metric_type for cmi in self._chain_metric_info} + metric_types = {cmi.metric_type for cmi in chain_metric_info} if len(metric_types) != 1: raise ValueError("Inconsistent metric types found across chains") - self._metric_type = self._chain_metric_info[0].metric_type - self._metric = np.asarray( - [cmi.inv_metric for cmi in self._chain_metric_info] - ) + self._metric_type = chain_metric_info[0].metric_type + self._metric = np.asarray([cmi.inv_metric for cmi in chain_metric_info]) self._step_size = np.asarray( - [cmi.stepsize for cmi in self._chain_metric_info] + [cmi.stepsize for cmi in chain_metric_info] ) def _check_sampler_diagnostics(self) -> None: @@ -426,8 +545,8 @@ def _check_sampler_diagnostics(self) -> None: """ if np.any(self._divergences) or np.any(self._max_treedepths): diagnostics = ['Some chains may have failed to converge.'] - ct_iters = self._metadata.cmdstan_config['num_samples'] - for i in range(self.runset._chains): + ct_iters = self.config.method_config.num_samples + for i in range(self.chains): if self._divergences[i] > 0: diagnostics.append( f'Chain {i + 1} had {self._divergences[i]} ' @@ -448,8 +567,8 @@ def _check_sampler_diagnostics(self) -> None: def _assemble_draws(self) -> None: """ - Allocates and populates the step size, metric, and sample arrays - by parsing the validated stan_csv files. + Allocates and populates the sample array by parsing the validated + stan_csv files. """ if self._draws.shape != (0,): return @@ -470,7 +589,7 @@ def _assemble_draws(self) -> None: header, draws, ) = stancsv.parse_comments_header_and_draws( - self.runset.csv_files[chain] + self.csv_files[chain] ) draws_np = stancsv.csv_bytes_list_to_numpy(draws) @@ -481,11 +600,9 @@ def _assemble_draws(self) -> None: self._draws[:, chain, :] = draws_np except Exception as exc: raise ValueError( - f"Parsing output from {self.runset.csv_files[chain]} failed" + f"Parsing output from {self.csv_files[chain]} failed" ) from exc - assert self._draws is not None - def summary( self, percentiles: Sequence[int] = (5, 50, 95), @@ -534,7 +651,7 @@ def summary( 'Keyword "sig_figs" must be an integer between 1 and 18,' ' found {}'.format(sig_figs) ) - csv_sig_figs = self._sig_figs or 6 + csv_sig_figs = self.sig_figs or 6 if sig_figs > csv_sig_figs: get_logger().warning( 'Requesting %d significant digits of output, but CSV files' @@ -546,18 +663,18 @@ def summary( cmd_path = os.path.join( cmdstan_path(), 'bin', 'stansummary' + EXTENSION ) - tmp_csv_file = 'stansummary-{}-'.format(self.runset._args.model_name) + tmp_csv_file = f'stansummary-{self.model_name}-' tmp_csv_path = create_named_text_file( dir=_TMPDIR, prefix=tmp_csv_file, suffix='.csv', name_only=True ) - csv_str = '--csv_filename={}'.format(tmp_csv_path) + csv_str = f'--csv_filename={tmp_csv_path}' cmd = [ cmd_path, percentiles_str, sig_figs_str, csv_str, - ] + self.runset.csv_files + ] + self.csv_files do_command(cmd, fd_out=None) with open(tmp_csv_path, 'rb') as fd: summary_data = pd.read_csv( @@ -593,7 +710,7 @@ def diagnose(self) -> str | None: + High R-hat values """ cmd_path = os.path.join(cmdstan_path(), 'bin', 'diagnose' + EXTENSION) - cmd = [cmd_path] + self.runset.csv_files + cmd = [cmd_path] + self.csv_files result = StringIO() do_command(cmd=cmd, fd_out=result) return result.getvalue() @@ -638,10 +755,10 @@ def draws_pd( cols = [] if vars is not None: for var in dict.fromkeys(vars_list): - if var in self._metadata.method_vars: + if var in self.metadata.method_vars: cols.append(var) - elif var in self._metadata.stan_vars: - info = self._metadata.stan_vars[var] + elif var in self.metadata.stan_vars: + info = self.metadata.stan_vars[var] cols.extend( self.column_names[info.start_idx : info.end_idx] ) @@ -705,7 +822,7 @@ def draws_xr( ' must run sampler with "save_warmup=True".' ) if vars is None: - vars_list = list(self._metadata.stan_vars.keys()) + vars_list = list(self.metadata.stan_vars.keys()) elif isinstance(vars, str): vars_list = [vars] else: @@ -714,7 +831,7 @@ def draws_xr( self._assemble_draws() num_draws = self.num_draws_sampling - meta = self._metadata.cmdstan_config + meta = self.metadata.cmdstan_config attrs: MutableMapping[Hashable, Any] = { "stan_version": f"{meta['stan_version_major']}." f"{meta['stan_version_minor']}.{meta['stan_version_patch']}", @@ -734,7 +851,7 @@ def draws_xr( for var in vars_list: build_xarray_data( data, - self._metadata.stan_vars[var], + self.metadata.stan_vars[var], self.draws(inc_warmup=inc_warmup), ) return xr.Dataset(data, coords=coordinates, attrs=attrs).transpose( @@ -791,7 +908,7 @@ def stan_variable( """ try: draws = self.draws(inc_warmup=inc_warmup, concat_chains=True) - out: np.ndarray = self._metadata.stan_vars[var].extract_reshape( + out: np.ndarray = self.metadata.stan_vars[var].extract_reshape( draws ) return out @@ -800,7 +917,7 @@ def stan_variable( raise ValueError( f'Unknown variable name: {var}\n' 'Available variables are ' - + ", ".join(self._metadata.stan_vars.keys()) + + ", ".join(self.metadata.stan_vars.keys()) ) def stan_variables(self) -> dict[str, np.ndarray]: @@ -818,7 +935,7 @@ def stan_variables(self) -> dict[str, np.ndarray]: CmdStanLaplace.stan_variables """ result = {} - for name in self._metadata.stan_vars: + for name in self.metadata.stan_vars: result[name] = self.stan_variable(name) return result @@ -833,18 +950,52 @@ def method_variables(self) -> dict[str, np.ndarray]: self._assemble_draws() return { name: var.extract_reshape(self._draws) - for name, var in self._metadata.method_vars.items() + for name, var in self.metadata.method_vars.items() } def save_csvfiles(self, dir: str | None = None) -> None: """ - Move output CSV files to specified directory. + Move output CSV files, and any associated config, metric, and stdout + files, to the specified directory. Updates the corresponding + attributes on this object to point at the new locations. :param dir: directory path See Also -------- - stanfit.RunSet.save_csvfiles cmdstanpy.from_csv """ - self.runset.save_csvfiles(dir) + dest = Path(dir) if dir is not None else Path.cwd() + try: + dest.mkdir(parents=True, exist_ok=True) + test_path = dest / f'.cmdstanpy-write-test-{os.getpid()}' + test_path.touch() + test_path.unlink() + except (IOError, OSError, PermissionError) as exc: + raise RuntimeError(f'Cannot save to path: {dest}') from exc + + list_attrs = ( + 'csv_files', + 'config_files', + 'metric_files', + 'stdout_files', + 'diagnostic_files', + 'profile_files', + ) + for attr in list_attrs: + srcs = getattr(self, attr) + if srcs is None: + continue + new = [] + for src in srcs: + if not os.path.exists(src): + if attr == 'csv_files': + raise ValueError(f'Cannot access CSV file {src}') + new.append(src) + continue + dst = dest / Path(src).name + if dst.exists(): + raise ValueError(f'File exists, not overwriting: {dst}') + shutil.move(src, dst) + new.append(os.fspath(dst)) + setattr(self, attr, new) diff --git a/cmdstanpy/stanfit/metadata.py b/cmdstanpy/stanfit/metadata.py index 34c44c6b..d8a62707 100644 --- a/cmdstanpy/stanfit/metadata.py +++ b/cmdstanpy/stanfit/metadata.py @@ -3,12 +3,20 @@ from __future__ import annotations import copy +import json import math import os -from typing import Any, Iterator, Literal +from typing import Annotated, Any, Generic, Iterator, Literal import stanio -from pydantic import BaseModel, field_validator, model_validator +from pydantic import ( + BaseModel, + ConfigDict, + Discriminator, + field_validator, + model_validator, +) +from typing_extensions import TypeVar from cmdstanpy.utils import stancsv @@ -125,3 +133,170 @@ def validate_inv_metric_shape(self) -> MetricInfo: raise ValueError("Dense inv_metric must be square") return self + + +class SampleConfig(BaseModel): + model_config = ConfigDict(extra="allow") + + method: Literal["sample"] = "sample" + algorithm: str + num_samples: int + num_warmup: int + save_warmup: bool = False + thin: int = 1 + max_depth: int | None = None + + +class OptimizeConfig(BaseModel): + model_config = ConfigDict(extra="allow") + + method: Literal["optimize"] = "optimize" + algorithm: str + save_iterations: bool = False + jacobian: bool = False + + +class PathfinderConfig(BaseModel): + model_config = ConfigDict(extra="allow") + + method: Literal["pathfinder"] = "pathfinder" + num_draws: int = 1000 + num_paths: int = 4 + psis_resample: bool = True + calculate_lp: bool = True + + +class LaplaceConfig(BaseModel): + model_config = ConfigDict(extra="allow") + + method: Literal["laplace"] = "laplace" + mode: str + draws: int = 1000 + jacobian: bool = True + + +class VariationalConfig(BaseModel): + model_config = ConfigDict(extra="allow") + + method: Literal["variational"] = "variational" + algorithm: str + iter: int = 10000 + grad_samples: int = 1 + elbo_samples: int = 100 + eta: float = 1.0 + tol_rel_obj: float = 0.01 + eval_elbo: int = 100 + output_samples: int = 1000 + + +class GeneratedQuantitiesConfig(BaseModel): + model_config = ConfigDict(extra="allow") + + method: Literal["generate_quantities"] = "generate_quantities" + fitted_params: str + num_chains: int = 1 + + +AnyMethodConfig = Annotated[ + SampleConfig + | OptimizeConfig + | PathfinderConfig + | LaplaceConfig + | VariationalConfig + | GeneratedQuantitiesConfig, + Discriminator("method"), +] + +MethodT = TypeVar("MethodT", bound=BaseModel, default=AnyMethodConfig) + + +class StanConfig(BaseModel, Generic[MethodT]): + """Common representation of a config JSON file output as part of a + Stan inference run. Separate method-specific config classes handle + the variation of output between methods.""" + + model_config = ConfigDict(extra="allow") + + model_name: str + stan_major_version: str + stan_minor_version: str + stan_patch_version: str + + method_config: MethodT + + +def flatten_value_dict(data: dict[str, Any]) -> dict[str, Any]: + """Recursively flatten CmdStan's nested value/subdict structure. + + CmdStan uses a pattern where a field contains: + {"value": "val", "val": {"k1": v1, "k2": v2}} + + This flattens it to the parent level as: + {"field": "val", "k1": v1, "k2": v2} + + The flattening is applied recursively to any nested dicts. + """ + result: dict[str, Any] = {} + + for key, val in data.items(): + if not isinstance(val, dict): + result[key] = val + continue + + if "value" in val: + value_name = val['value'] + result[key] = value_name + + # Get the nested dict matching the value name and flatten it + nested = val.get(value_name, {}) + if isinstance(nested, dict): + flattened_nested = flatten_value_dict(nested) + for nested_key, nested_val in flattened_nested.items(): + if nested_key not in result: + result[nested_key] = nested_val + else: + # Regular dict without value pattern - recurse into it + result[key] = flatten_value_dict(val) + + return result + + +def flatten_config(data: dict[str, Any]) -> dict[str, Any]: + """Flatten nested CmdStan config JSON structure. + + CmdStan outputs config JSON with deeply nested structure like: + {"method": {"value": "sample", "sample": {"num_samples": 1000, ...}}} + + This flattens it to: + {"method_config": {"method": "sample", "num_samples": 1000, ...}, ...} + """ + method_data = data.get('method') + if not isinstance(method_data, dict): + return data + + result = {k: v for k, v in data.items() if k != "method"} + method_name = method_data.get('value') + + # Build method_config from the method-specific nested dict + nested_method = method_data.get(method_name, {}) + method_config = flatten_value_dict(nested_method) + method_config['method'] = method_name + + result['method_config'] = method_config + return result + + +def parse_config( + json_data: str | bytes, method_type: type[MethodT] | None = None +) -> StanConfig[MethodT]: + """Parse a CmdStan config JSON string into a StanConfig. + + When ``method_type`` is omitted the method is auto-detected from the + JSON content using the discriminated union ``AnyMethodConfig``. + """ + + raw = json.loads(json_data) + flat = flatten_config(raw) + if method_type is None: + return StanConfig[AnyMethodConfig].model_validate(flat) # type: ignore + return StanConfig[method_type].model_validate(flat) # type: ignore diff --git a/cmdstanpy/stanfit/mle.py b/cmdstanpy/stanfit/mle.py index 03b44799..fb646fd3 100644 --- a/cmdstanpy/stanfit/mle.py +++ b/cmdstanpy/stanfit/mle.py @@ -1,60 +1,86 @@ """Container for the result of running optimization""" +from __future__ import annotations + +import os +import shutil from collections import OrderedDict +from dataclasses import dataclass, field +from pathlib import Path import numpy as np import pandas as pd -from cmdstanpy.cmdstan_args import Method, OptimizeArgs from cmdstanpy.utils import get_logger, stancsv -from .metadata import InferenceMetadata -from .runset import RunSet +from .metadata import ( + InferenceMetadata, + OptimizeConfig, + StanConfig, + parse_config, +) +@dataclass class CmdStanMLE: """ Container for outputs from CmdStan optimization. Created by :meth:`CmdStanModel.optimize`. """ - def __init__(self, runset: RunSet) -> None: - """Initialize object.""" - if not runset.method == Method.OPTIMIZE: - raise ValueError( - 'Wrong runset method, expecting optimize runset, ' - 'found method {}'.format(runset.method) - ) - self.runset = runset - # info from runset to be exposed - self.converged = runset._check_retcodes() - optimize_args = self.runset._args.method_args - assert isinstance( - optimize_args, OptimizeArgs - ) # make the typechecker happy - self._save_iterations: bool = optimize_args.save_iterations - - csv_file = self.runset.csv_files[0] + metadata: InferenceMetadata + model_name: str + csv_file: str + config: StanConfig[OptimizeConfig] + converged: bool = True + config_file: str | None = None # None if config object passed directly + stdout_file: str | None = None + _mle: np.ndarray = field(default_factory=lambda: np.array(()), init=False) + _all_iters: np.ndarray = field( + default_factory=lambda: np.array(()), init=False + ) + + @classmethod + def from_files( + cls, + csv_file: str | os.PathLike, + config_file: str | os.PathLike, + stdout_file: str | os.PathLike | None = None, + converged: bool = True, + ) -> CmdStanMLE: + with open(config_file) as f: + stan_config = parse_config(f.read(), OptimizeConfig) + + metadata = InferenceMetadata.from_csv(csv_file) + return cls( + metadata=metadata, + model_name=stan_config.model_name, + csv_file=os.fspath(csv_file), + config=stan_config, + converged=converged, + config_file=os.fspath(config_file), + stdout_file=( + os.fspath(stdout_file) if stdout_file is not None else None + ), + ) + + def _assemble_draws(self) -> None: + if self._mle.shape != (0,): + return + try: - ( - comment_lines, - header, - draws_lines, - ) = stancsv.parse_comments_header_and_draws( - self.runset.csv_files[0] - ) - self._metadata = InferenceMetadata( - stancsv.construct_config_header_dict(comment_lines, header) + *_, draws_lines = stancsv.parse_comments_header_and_draws( + self.csv_file ) all_draws = stancsv.csv_bytes_list_to_numpy(draws_lines) - except Exception as exc: raise ValueError( - f"An error occurred when parsing Stan csv {csv_file}" + f"An error occurred when parsing Stan csv {self.csv_file}" ) from exc - self._mle: np.ndarray = all_draws[-1] - if self._save_iterations: - self._all_iters: np.ndarray = all_draws + + self._mle = all_draws[-1] + if self.config.method_config.save_iterations: + self._all_iters = all_draws def create_inits( self, seed: int | None = None, chains: int = 4 @@ -79,18 +105,21 @@ def create_inits( return self.stan_variables() def __repr__(self) -> str: - repr = 'CmdStanMLE: model={}{}'.format( - self.runset.model, self.runset._args.method_args.compose(0, cmd=[]) - ) - repr = '{}\n csv_file:\n\t{}\n output_file:\n\t{}'.format( - repr, - '\n\t'.join(self.runset.csv_files), - '\n\t'.join(self.runset.stdout_files), - ) + mc = self.config.method_config + lines = [ + f'CmdStanMLE: model={self.model_name}' + f' method={mc.method} algorithm={mc.algorithm}', + f' csv_file:\n\t{self.csv_file}', + ] + if self.config_file is not None: + lines.append(f' config_file:\n\t{self.config_file}') + if self.stdout_file is not None: + lines.append(f' output_file:\n\t{self.stdout_file}') if not self.converged: - repr = '{}\n Warning: invalid estimate, '.format(repr) - repr = '{} optimization failed to converge.'.format(repr) - return repr + lines.append( + ' Warning: invalid estimate, optimization failed to converge.' + ) + return '\n'.join(lines) def __getattr__(self, attr: str) -> np.ndarray: """Synonymous with ``fit.stan_variable(attr)""" @@ -102,6 +131,23 @@ def __getattr__(self, attr: str) -> np.ndarray: # pylint: disable=raise-missing-from raise AttributeError(*e.args) + def __getstate__(self) -> dict: + # This function returns the mapping of objects to serialize with pickle. + # See https://docs.python.org/3/library/pickle.html#object.__getstate__ + # for details. We call _assemble_draws to ensure estimates have been + # loaded prior to serialization. + self._assemble_draws() + state = self.__dict__.copy() + # StanConfig[OptimizeConfig] is a generic alias with no module-level + # name, so we serialize it as a plain dict for pickle compatibility. + state['config'] = self.config.model_dump() + return state + + def __setstate__(self, state: dict) -> None: + config_dict = state.pop('config') + self.__dict__.update(state) + self.config = StanConfig[OptimizeConfig].model_validate(config_dict) + @property def column_names(self) -> tuple[str, ...]: """ @@ -110,15 +156,6 @@ def column_names(self) -> tuple[str, ...]: """ return self.metadata.column_names - @property - def metadata(self) -> InferenceMetadata: - """ - Returns object which contains CmdStan configuration as well as - information about the names and structure of the inference method - and model output variables. - """ - return self._metadata - @property def optimized_params_np(self) -> np.ndarray: """ @@ -130,6 +167,7 @@ def optimized_params_np(self) -> np.ndarray: get_logger().warning( 'Invalid estimate, optimization failed to converge.' ) + self._assemble_draws() return self._mle @property @@ -140,7 +178,7 @@ def optimized_iterations_np(self) -> np.ndarray | None: the value for `lp__` as well as all Stan program variables. """ - if not self._save_iterations: + if not self.config.method_config.save_iterations: get_logger().warning( 'Intermediate iterations not saved to CSV output file. ' 'Rerun the optimize method with "save_iterations=True".' @@ -150,6 +188,7 @@ def optimized_iterations_np(self) -> np.ndarray | None: get_logger().warning( 'Invalid estimate, optimization failed to converge.' ) + self._assemble_draws() return self._all_iters @property @@ -159,10 +198,11 @@ def optimized_params_pd(self) -> pd.DataFrame: which contains all optimizer outputs, i.e., the value for `lp__` as well as all Stan program variables. """ - if not self.runset._check_retcodes(): + if not self.converged: get_logger().warning( 'Invalid estimate, optimization failed to converge.' ) + self._assemble_draws() return pd.DataFrame([self._mle], columns=self.column_names) @property @@ -173,7 +213,7 @@ def optimized_iterations_pd(self) -> pd.DataFrame | None: the value for `lp__` as well as all Stan program variables. """ - if not self._save_iterations: + if not self.config.method_config.save_iterations: get_logger().warning( 'Intermediate iterations not saved to CSV output file. ' 'Rerun the optimize method with "save_iterations=True".' @@ -183,6 +223,7 @@ def optimized_iterations_pd(self) -> pd.DataFrame | None: get_logger().warning( 'Invalid estimate, optimization failed to converge.' ) + self._assemble_draws() return pd.DataFrame(self._all_iters, columns=self.column_names) @property @@ -191,10 +232,11 @@ def optimized_params_dict(self) -> dict[str, np.float64]: Returns all estimates from the optimizer, including `lp__` as a Python Dict. Only returns estimate from final iteration. """ - if not self.runset._check_retcodes(): + if not self.converged: get_logger().warning( 'Invalid estimate, optimization failed to converge.' ) + self._assemble_draws() return OrderedDict(zip(self.column_names, self._mle)) def stan_variable( @@ -228,36 +270,36 @@ def stan_variable( CmdStanGQ.stan_variable CmdStanLaplace.stan_variable """ - if var not in self._metadata.stan_vars: + if var not in self.metadata.stan_vars: raise ValueError( f'Unknown variable name: {var}\n' - 'Available variables are ' + ", ".join(self._metadata.stan_vars) + 'Available variables are ' + ", ".join(self.metadata.stan_vars) ) - if warn and inc_iterations and not self._save_iterations: + save_iterations = self.config.method_config.save_iterations + if warn and inc_iterations and not save_iterations: get_logger().warning( 'Intermediate iterations not saved to CSV output file. ' 'Rerun the optimize method with "save_iterations=True".' ) - if warn and not self.runset._check_retcodes(): + if warn and not self.converged: get_logger().warning( 'Invalid estimate, optimization failed to converge.' ) - if inc_iterations and self._save_iterations: + self._assemble_draws() + if inc_iterations and save_iterations: data = self._all_iters else: data = self._mle try: - out: np.ndarray = self._metadata.stan_vars[var].extract_reshape( - data - ) + out: np.ndarray = self.metadata.stan_vars[var].extract_reshape(data) return out except KeyError: # pylint: disable=raise-missing-from raise ValueError( f'Unknown variable name: {var}\n' 'Available variables are ' - + ", ".join(self._metadata.stan_vars.keys()) + + ", ".join(self.metadata.stan_vars.keys()) ) def stan_variables( @@ -282,12 +324,12 @@ def stan_variables( CmdStanGQ.stan_variables CmdStanLaplace.stan_variables """ - if not self.runset._check_retcodes(): + if not self.converged: get_logger().warning( 'Invalid estimate, optimization failed to converge.' ) result = {} - for name in self._metadata.stan_vars: + for name in self.metadata.stan_vars: result[name] = self.stan_variable( name, inc_iterations=inc_iterations, warn=False ) @@ -295,13 +337,25 @@ def stan_variables( def save_csvfiles(self, dir: str | None = None) -> None: """ - Move output CSV files to specified directory. + Move output CSV file, and any associated config and stdout files, + to the specified directory. Updates the corresponding attributes on + this object to point at the new locations. :param dir: directory path See Also -------- - stanfit.RunSet.save_csvfiles cmdstanpy.from_csv """ - self.runset.save_csvfiles(dir) + dest = Path(dir) if dir is not None else Path.cwd() + dest.mkdir(parents=True, exist_ok=True) + + for attr in ('csv_file', 'config_file', 'stdout_file'): + src = getattr(self, attr) + if src is None: + continue + dst = dest / Path(src).name + if dst.exists(): + raise ValueError(f'File exists, not overwriting: {dst}') + shutil.move(src, dst) + setattr(self, attr, os.fspath(dst)) diff --git a/cmdstanpy/stanfit/pathfinder.py b/cmdstanpy/stanfit/pathfinder.py index 60f831cd..fa08f272 100644 --- a/cmdstanpy/stanfit/pathfinder.py +++ b/cmdstanpy/stanfit/pathfinder.py @@ -2,30 +2,60 @@ Container for the result of running Pathfinder. """ +from __future__ import annotations + +import os +import shutil +from dataclasses import dataclass, field +from pathlib import Path + import numpy as np -from cmdstanpy.cmdstan_args import Method -from cmdstanpy.stanfit.metadata import InferenceMetadata -from cmdstanpy.stanfit.runset import RunSet +from cmdstanpy.stanfit.metadata import ( + InferenceMetadata, + PathfinderConfig, + StanConfig, + parse_config, +) from cmdstanpy.utils import stancsv +@dataclass class CmdStanPathfinder: """ Container for outputs from the Pathfinder algorithm. Created by :meth:`CmdStanModel.pathfinder()`. """ - def __init__(self, runset: RunSet): - """Initialize object.""" - if not runset.method == Method.PATHFINDER: - raise ValueError( - 'Wrong runset method, expecting Pathfinder runset, ' - 'found method {}'.format(runset.method) - ) - self.runset = runset - self._draws: np.ndarray = np.array(()) - self._metadata = InferenceMetadata.from_csv(self.runset.csv_files[0]) + metadata: InferenceMetadata + model_name: str + csv_file: str + config: StanConfig[PathfinderConfig] + config_file: str | None = None # None if config object passed directly + stdout_file: str | None = None + _draws: np.ndarray = field(default_factory=lambda: np.array(()), init=False) + + @classmethod + def from_files( + cls, + csv_file: str | os.PathLike, + config_file: str | os.PathLike, + stdout_file: str | os.PathLike | None = None, + ) -> CmdStanPathfinder: + with open(config_file) as f: + stan_config = parse_config(f.read(), PathfinderConfig) + + metadata = InferenceMetadata.from_csv(csv_file) + return cls( + metadata=metadata, + csv_file=os.fspath(csv_file), + model_name=stan_config.model_name, + config=stan_config, + config_file=os.fspath(config_file), + stdout_file=( + os.fspath(stdout_file) if stdout_file is not None else None + ), + ) def create_inits( self, seed: int | None = None, chains: int = 4 @@ -49,42 +79,38 @@ def create_inits( draw = self._draws[idxs[0]] return { name: var.extract_reshape(draw) - for name, var in self._metadata.stan_vars.items() + for name, var in self.metadata.stan_vars.items() } else: return [ { name: var.extract_reshape(self._draws[idx]) - for name, var in self._metadata.stan_vars.items() + for name, var in self.metadata.stan_vars.items() } for idx in idxs ] def __repr__(self) -> str: - rep = 'CmdStanPathfinder: model={}{}'.format( - self.runset.model, - self.runset._args.method_args.compose(0, cmd=[]), - ) - rep = '{}\n csv_files:\n\t{}\n output_files:\n\t{}'.format( - rep, - '\n\t'.join(self.runset.csv_files), - '\n\t'.join(self.runset.stdout_files), - ) - return rep + lines = [ + f'CmdStanPathfinder: model={self.model_name}', + f' csv_file:\n\t{self.csv_file}', + ] + if self.config_file is not None: + lines.append(f' config_file:\n\t{self.config_file}') + if self.stdout_file is not None: + lines.append(f' output_file:\n\t{self.stdout_file}') + return '\n'.join(lines) def _assemble_draws(self) -> None: if self._draws.shape != (0,): return - csv_file = self.runset.csv_files[0] try: - *_, draws = stancsv.parse_comments_header_and_draws( - self.runset.csv_files[0] - ) + *_, draws = stancsv.parse_comments_header_and_draws(self.csv_file) self._draws = stancsv.csv_bytes_list_to_numpy(draws) except Exception as exc: raise ValueError( - f"An error occurred when parsing Stan csv {csv_file}" + f"An error occurred when parsing Stan csv {self.csv_file}" ) from exc def stan_variable(self, var: str) -> np.ndarray: @@ -109,7 +135,7 @@ def stan_variable(self, var: str) -> np.ndarray: """ self._assemble_draws() try: - out: np.ndarray = self._metadata.stan_vars[var].extract_reshape( + out: np.ndarray = self.metadata.stan_vars[var].extract_reshape( self._draws ) return out @@ -118,7 +144,7 @@ def stan_variable(self, var: str) -> np.ndarray: raise ValueError( f'Unknown variable name: {var}\n' 'Available variables are ' - + ", ".join(self._metadata.stan_vars.keys()) + + ", ".join(self.metadata.stan_vars.keys()) ) def stan_variables(self) -> dict[str, np.ndarray]: @@ -136,7 +162,7 @@ def stan_variables(self) -> dict[str, np.ndarray]: CmdStanLaplace.stan_variables """ result = {} - for name in self._metadata.stan_vars: + for name in self.metadata.stan_vars: result[name] = self.stan_variable(name) return result @@ -151,7 +177,7 @@ def method_variables(self) -> dict[str, np.ndarray]: self._assemble_draws() return { name: var.extract_reshape(self._draws) - for name, var in self._metadata.method_vars.items() + for name, var in self.metadata.method_vars.items() } def draws(self) -> np.ndarray: @@ -181,15 +207,6 @@ def __getstate__(self) -> dict: self._assemble_draws() return self.__dict__ - @property - def metadata(self) -> InferenceMetadata: - """ - Returns object which contains CmdStan configuration as well as - information about the names and structure of the inference method - and model output variables. - """ - return self._metadata - @property def column_names(self) -> tuple[str, ...]: """ @@ -198,7 +215,7 @@ def column_names(self) -> tuple[str, ...]: and quantities of interest. Corresponds to Stan CSV file header row, with names munged to array notation, e.g. `beta[1]` not `beta.1`. """ - return self._metadata.column_names + return self.metadata.column_names @property def is_resampled(self) -> bool: @@ -207,22 +224,32 @@ def is_resampled(self) -> bool: approximations, False otherwise. """ return ( - self._metadata.cmdstan_config.get("num_paths", 4) > 1 - and self._metadata.cmdstan_config.get('psis_resample', 1) - in (1, 'true') - and self._metadata.cmdstan_config.get('calculate_lp', 1) - in (1, 'true') + self.config.method_config.num_paths > 1 + and self.config.method_config.psis_resample + and self.config.method_config.calculate_lp ) def save_csvfiles(self, dir: str | None = None) -> None: """ - Move output CSV files to specified directory. + Move output CSV file, and any associated config and stdout files, + to the specified directory. Updates the corresponding attributes on + this object to point at the new locations. :param dir: directory path See Also -------- - stanfit.RunSet.save_csvfiles cmdstanpy.from_csv """ - self.runset.save_csvfiles(dir) + dest = Path(dir) if dir is not None else Path.cwd() + dest.mkdir(parents=True, exist_ok=True) + + for attr in ('csv_file', 'config_file', 'stdout_file'): + src = getattr(self, attr) + if src is None: + continue + dst = dest / Path(src).name + if dst.exists(): + raise ValueError(f'File exists, not overwriting: {dst}') + shutil.move(src, dst) + setattr(self, attr, os.fspath(dst)) diff --git a/cmdstanpy/stanfit/vb.py b/cmdstanpy/stanfit/vb.py index 7a1f59b0..09464262 100644 --- a/cmdstanpy/stanfit/vb.py +++ b/cmdstanpy/stanfit/vb.py @@ -1,55 +1,88 @@ """Container for the results of running autodiff variational inference""" +from __future__ import annotations + +import os +import shutil from collections import OrderedDict +from dataclasses import dataclass, field +from pathlib import Path import numpy as np import pandas as pd -from cmdstanpy.cmdstan_args import Method from cmdstanpy.utils import stancsv -from .metadata import InferenceMetadata -from .runset import RunSet +from .metadata import ( + InferenceMetadata, + StanConfig, + VariationalConfig, + parse_config, +) +@dataclass class CmdStanVB: """ Container for outputs from CmdStan variational run. Created by :meth:`CmdStanModel.variational`. """ - def __init__(self, runset: RunSet) -> None: - """Initialize object.""" - if not runset.method == Method.VARIATIONAL: - raise ValueError( - 'Wrong runset method, expecting variational inference, ' - 'found method {}'.format(runset.method) - ) - self.runset = runset + metadata: InferenceMetadata + model_name: str + csv_file: str + config: StanConfig[VariationalConfig] + config_file: str | None = None # None if config object passed directly + stdout_file: str | None = None + _variational_mean: np.ndarray = field( + default_factory=lambda: np.array(()), init=False + ) + _variational_sample: np.ndarray = field( + default_factory=lambda: np.array(()), init=False + ) + _eta: float | None = field(default=None, init=False) + + @classmethod + def from_files( + cls, + csv_file: str | os.PathLike, + config_file: str | os.PathLike, + stdout_file: str | os.PathLike | None = None, + ) -> CmdStanVB: + with open(config_file) as f: + stan_config = parse_config(f.read(), VariationalConfig) + + metadata = InferenceMetadata.from_csv(csv_file) + return cls( + metadata=metadata, + model_name=stan_config.model_name, + csv_file=os.fspath(csv_file), + config=stan_config, + config_file=os.fspath(config_file), + stdout_file=( + os.fspath(stdout_file) if stdout_file is not None else None + ), + ) + + def _assemble_draws(self) -> None: + if self._variational_mean.shape != (0,): + return - csv_file = self.runset.csv_files[0] try: ( comment_lines, - header, + _, draw_lines, - ) = stancsv.parse_comments_header_and_draws( - self.runset.csv_files[0] - ) - - self._metadata = InferenceMetadata( - stancsv.construct_config_header_dict(comment_lines, header) - ) + ) = stancsv.parse_comments_header_and_draws(self.csv_file) self._eta = stancsv.parse_variational_eta(comment_lines) - draws_np = stancsv.csv_bytes_list_to_numpy(draw_lines) - except Exception as exc: raise ValueError( - f"An error occurred when parsing Stan csv {csv_file}" + f"An error occurred when parsing Stan csv {self.csv_file}" ) from exc - self._variational_mean: np.ndarray = draws_np[0] - self._variational_sample: np.ndarray = draws_np[1:] + + self._variational_mean = draws_np[0] + self._variational_sample = draws_np[1:] def create_inits( self, seed: int | None = None, chains: int = 4 @@ -67,36 +100,38 @@ def create_inits( of dictionaries is returned, in the format expected for the ``inits`` argument of :meth:`CmdStanModel.sample`. """ + self._assemble_draws() rng = np.random.default_rng(seed) idxs = rng.choice( - self.variational_sample.shape[0], size=chains, replace=False + self._variational_sample.shape[0], size=chains, replace=False ) if chains == 1: - draw = self.variational_sample[idxs[0]] + draw = self._variational_sample[idxs[0]] return { name: var.extract_reshape(draw) - for name, var in self._metadata.stan_vars.items() + for name, var in self.metadata.stan_vars.items() } else: return [ { - name: var.extract_reshape(self.variational_sample[idx]) - for name, var in self._metadata.stan_vars.items() + name: var.extract_reshape(self._variational_sample[idx]) + for name, var in self.metadata.stan_vars.items() } for idx in idxs ] def __repr__(self) -> str: - repr = 'CmdStanVB: model={}{}'.format( - self.runset.model, self.runset._args.method_args.compose(0, cmd=[]) - ) - repr = '{}\n csv_file:\n\t{}\n output_file:\n\t{}'.format( - repr, - '\n\t'.join(self.runset.csv_files), - '\n\t'.join(self.runset.stdout_files), - ) - # TODO - diagnostic, profiling files - return repr + mc = self.config.method_config + lines = [ + f'CmdStanVB: model={self.model_name}' + f' method={mc.method} algorithm={mc.algorithm}', + f' csv_file:\n\t{self.csv_file}', + ] + if self.config_file is not None: + lines.append(f' config_file:\n\t{self.config_file}') + if self.stdout_file is not None: + lines.append(f' output_file:\n\t{self.stdout_file}') + return '\n'.join(lines) def __getattr__(self, attr: str) -> np.ndarray: """Synonymous with ``fit.stan_variable(attr)""" @@ -108,6 +143,23 @@ def __getattr__(self, attr: str) -> np.ndarray: # pylint: disable=raise-missing-from raise AttributeError(*e.args) + def __getstate__(self) -> dict: + # This function returns the mapping of objects to serialize with pickle. + # See https://docs.python.org/3/library/pickle.html#object.__getstate__ + # for details. We call _assemble_draws to ensure draws have been + # loaded prior to serialization. + self._assemble_draws() + state = self.__dict__.copy() + # StanConfig[VariationalConfig] is a generic alias with no module-level + # name, so we serialize it as a plain dict for pickle compatibility. + state['config'] = self.config.model_dump() + return state + + def __setstate__(self, state: dict) -> None: + config_dict = state.pop('config') + self.__dict__.update(state) + self.config = StanConfig[VariationalConfig].model_validate(config_dict) + @property def columns(self) -> int: """ @@ -131,13 +183,15 @@ def eta(self) -> float: """ Step size scaling parameter 'eta' """ - return self._eta + self._assemble_draws() + return self._eta # type: ignore[return-value] @property def variational_params_np(self) -> np.ndarray: """ Returns inferred parameter means as numpy array. """ + self._assemble_draws() return self._variational_mean @property @@ -145,22 +199,15 @@ def variational_params_pd(self) -> pd.DataFrame: """ Returns inferred parameter means as pandas DataFrame. """ + self._assemble_draws() return pd.DataFrame([self._variational_mean], columns=self.column_names) @property def variational_params_dict(self) -> dict[str, np.ndarray]: """Returns inferred parameter means as Dict.""" + self._assemble_draws() return OrderedDict(zip(self.column_names, self._variational_mean)) - @property - def metadata(self) -> InferenceMetadata: - """ - Returns object which contains CmdStan configuration as well as - information about the names and structure of the inference method - and model output variables. - """ - return self._metadata - def stan_variable(self, var: str, *, mean: bool = False) -> np.ndarray: """ Return a numpy.ndarray which contains the estimates for the @@ -195,6 +242,7 @@ def stan_variable(self, var: str, *, mean: bool = False) -> np.ndarray: CmdStanGQ.stan_variable CmdStanLaplace.stan_variable """ + self._assemble_draws() if mean: draws = self._variational_mean @@ -202,17 +250,16 @@ def stan_variable(self, var: str, *, mean: bool = False) -> np.ndarray: draws = self._variational_sample try: - out: np.ndarray = self._metadata.stan_vars[var].extract_reshape( + out: np.ndarray = self.metadata.stan_vars[var].extract_reshape( draws ) - return out except KeyError: # pylint: disable=raise-missing-from raise ValueError( f'Unknown variable name: {var}\n' 'Available variables are ' - + ", ".join(self._metadata.stan_vars.keys()) + + ", ".join(self.metadata.stan_vars.keys()) ) def stan_variables(self, *, mean: bool = False) -> dict[str, np.ndarray]: @@ -230,13 +277,14 @@ def stan_variables(self, *, mean: bool = False) -> dict[str, np.ndarray]: CmdStanLaplace.stan_variables """ result = {} - for name in self._metadata.stan_vars: + for name in self.metadata.stan_vars: result[name] = self.stan_variable(name, mean=mean) return result @property def variational_sample(self) -> np.ndarray: """Returns the set of approximate posterior output draws.""" + self._assemble_draws() return self._variational_sample @property @@ -245,17 +293,30 @@ def variational_sample_pd(self) -> pd.DataFrame: Returns the set of approximate posterior output draws as a pandas DataFrame. """ + self._assemble_draws() return pd.DataFrame(self._variational_sample, columns=self.column_names) def save_csvfiles(self, dir: str | None = None) -> None: """ - Move output CSV files to specified directory. + Move output CSV file, and any associated config and stdout files, + to the specified directory. Updates the corresponding attributes on + this object to point at the new locations. :param dir: directory path See Also -------- - stanfit.RunSet.save_csvfiles cmdstanpy.from_csv """ - self.runset.save_csvfiles(dir) + dest = Path(dir) if dir is not None else Path.cwd() + dest.mkdir(parents=True, exist_ok=True) + + for attr in ('csv_file', 'config_file', 'stdout_file'): + src = getattr(self, attr) + if src is None: + continue + dst = dest / Path(src).name + if dst.exists(): + raise ValueError(f'File exists, not overwriting: {dst}') + shutil.move(src, dst) + setattr(self, attr, os.fspath(dst)) diff --git a/test/data/diagnose-good/corr_gauss_depth8-1_config.json b/test/data/diagnose-good/corr_gauss_depth8-1_config.json new file mode 100644 index 00000000..cd7bf491 --- /dev/null +++ b/test/data/diagnose-good/corr_gauss_depth8-1_config.json @@ -0,0 +1,60 @@ +{ + "stan_major_version": "2", + "stan_minor_version": "14", + "stan_patch_version": "0", + "model_name": "multi_gauss_model", + "method": { + "value": "sample", + "sample": { + "num_samples": 1000, + "num_warmup": 1000, + "save_warmup": false, + "thin": 1, + "adapt": { + "engaged": true, + "gamma": 0.05, + "delta": 0.95, + "kappa": 0.75, + "t0": 10, + "init_buffer": 75, + "term_buffer": 50, + "window": 25 + }, + "algorithm": { + "value": "hmc", + "hmc": { + "engine": { + "value": "nuts", + "nuts": { + "max_depth": 8 + } + }, + "metric": { + "value": "diag_e" + }, + "metric_file": "", + "stepsize": 1, + "stepsize_jitter": 0 + } + }, + "num_chains": 1 + } + }, + "id": 0, + "data": { + "file": "" + }, + "init": "2", + "random": { + "seed": 1016009804 + }, + "output": { + "file": "", + "diagnostic_file": "", + "refresh": 100, + "sig_figs": -1, + "profile_file": "profile.csv", + "save_cmdstan_config": true + }, + "num_threads": 1 +} diff --git a/test/data/fixed_param_sample.csv b/test/data/fixed_param_sample.csv index 9f1db6a8..03da4d0b 100644 --- a/test/data/fixed_param_sample.csv +++ b/test/data/fixed_param_sample.csv @@ -1,149 +1,145 @@ # stan_version_major = 2 -# stan_version_minor = 27 +# stan_version_minor = 37 # stan_version_patch = 0 # model = datagen_poisson_glm_model -# start_datetime = 2021-08-09 19:10:02 UTC +# start_datetime = 2026-07-20 20:31:59 UTC # method = sample (Default) # sample # num_samples = 100 # num_warmup = 1000 (Default) -# save_warmup = 0 (Default) +# save_warmup = false (Default) # thin = 1 (Default) # adapt -# engaged = 1 (Default) -# gamma = 0.050000000000000003 (Default) -# delta = 0.80000000000000004 (Default) +# engaged = true (Default) +# gamma = 0.05 (Default) +# delta = 0.8 (Default) # kappa = 0.75 (Default) # t0 = 10 (Default) # init_buffer = 75 (Default) # term_buffer = 50 (Default) # window = 25 (Default) -# algorithm = hmc (Default) -# hmc -# engine = nuts (Default) -# nuts -# max_depth = 10 (Default) -# metric = diag_e (Default) -# metric_file = (Default) -# stepsize = 1 (Default) -# stepsize_jitter = 0 (Default) -# id = 0 (Default) +# save_metric = false (Default) +# algorithm = fixed_param +# num_chains = 1 (Default) +# id = 1 (Default) # data # file = (Default) # init = 2 (Default) # random -# seed = 863761237 (Default) +# seed = 12345 # output -# file = output.csv (Default) +# file = /tmp/tmprpkb7hyk/datagen_poisson_glm7b2072k4/datagen_poisson_glm-20260720163159.csv # diagnostic_file = (Default) # refresh = 100 (Default) -# sig_figs = -1 (Default) +# sig_figs = 8 (Default) # profile_file = profile.csv (Default) -# stanc_version = stanc3 v2.27.0 -# stancflags = +# save_cmdstan_config = true +# num_threads = 1 (Default) +# stanc_version = stanc3 v2.37.0 +# stancflags = --filename-in-msg=datagen_poisson_glm.stan 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+0,0,20,376,640,401,252,640,139,589,912,352,236,185,470,184,555,492,546,304,457,833,375,0.90158127,0.48290679,0.29565691,0.76484748,0.58637538,0.87344486,0.12819082,0.48366236,0.86639142,0.41354628,0.84259895,0.7804244,0.93885927,0.78059372,0.35009453,0.036612226,0.88195261,0.63723342,0.517354,0.69584437,2080.9487,1667.0711,704.42122,1124.1804,1900.0305,691.4952,874.93032,2302.4172,2020.7377,504.06167,940.85475,2102.7102,925.43361,2357.7644,875.35092,612.01243,1613.1741,1539.3253,2309.033,1535.7621,-0.061181894,-1.8121054,5.945637,6.4825636,5.9604331,5.5776434,6.4258693,4.8949002,6.4806671,6.8040857,5.9800435,5.4121273,5.2587288,6.1755892,5.0677686,6.2897692,6.0790348,6.2892255,5.7265861,6.1231835,6.7459023,6.0146568 +0,0,20,3300,3580,7650,11251,9665,8353,8379,8438,6846,12186,3714,7551,6004,3555,5296,12471,14717,7110,6260,9975,0.74749985,0.017534222,0.96771643,0.15336791,0.50780249,0.94088224,0.32666167,0.18832981,0.98836314,0.18679127,0.7496624,0.65182157,0.33230986,0.7073742,0.63757017,0.74013386,0.81231968,0.39476161,0.79688973,0.35393556,547.92028,542.58963,1304.6826,1770.9351,1596.1442,1413.7633,1345.202,1329.9144,1154.1288,1936.7336,621.28173,1260.1861,964.49885,607.8708,887.94225,2106.8692,2463.9204,1148.6527,1067.858,1613.767,1.8563224,-0.090515764,8.0947917,8.1510886,8.9424439,9.3217032,9.1857044,9.0251681,9.0310539,9.0321455,8.817961,9.4081729,8.2202508,8.936337,8.6978518,8.2022562,8.5875189,9.4422869,9.5923037,8.8669352,8.7576013,9.2106121 # # Elapsed Time: 0 seconds (Warm-up) -# 0.004 seconds (Sampling) -# 0.004 seconds (Total) +# 0.001 seconds (Sampling) +# 0.001 seconds (Total) # diff --git a/test/data/fixed_param_sample_config.json b/test/data/fixed_param_sample_config.json new file mode 100644 index 00000000..6c1b66d2 --- /dev/null +++ b/test/data/fixed_param_sample_config.json @@ -0,0 +1,52 @@ + +{ + "stan_major_version" : "2", + "stan_minor_version" : "37", + "stan_patch_version" : "0", + "model_name" : "datagen_poisson_glm_model", + "start_datetime" : "2026-07-20 20:31:59 UTC", + "method" : { + "value" : "sample", + "sample" : { + "num_samples" : 100, + "num_warmup" : 1000, + "save_warmup" : false, + "thin" : 1, + "adapt" : { + "engaged" : true, + "gamma" : 0.05, + "delta" : 0.8, + "kappa" : 0.75, + "t0" : 10, + "init_buffer" : 75, + "term_buffer" : 50, + "window" : 25, + "save_metric" : false + }, + "algorithm" : { + "value" : "fixed_param" + }, + "num_chains" : 1 + } + }, + "id" : 1, + "data" : { + "file" : "" + }, + "init" : "2", + "random" : { + "seed" : 12345 + }, + "output" : { + "file" : "\/tmp\/tmprpkb7hyk\/datagen_poisson_glm7b2072k4\/datagen_poisson_glm-20260720163159.csv", + "diagnostic_file" : "", + "refresh" : 100, + "sig_figs" : 8, + "profile_file" : "profile.csv", + "save_cmdstan_config" : true + }, + "num_threads" : 1, + "mpi_enabled" : false, + "stanc_version" : "stanc3 v2.37.0", + "stancflags" : "--filename-in-msg=datagen_poisson_glm.stan" +} diff --git a/test/data/logistic_output_1.csv b/test/data/logistic_output_1.csv index 86fee661..a5b881fd 100644 --- a/test/data/logistic_output_1.csv +++ b/test/data/logistic_output_1.csv @@ -1,22 +1,24 @@ # stan_version_major = 2 -# stan_version_minor = 25 +# stan_version_minor = 37 # stan_version_patch = 0 # model = logistic_model +# start_datetime = 2026-07-20 20:23:44 UTC # method = sample (Default) # sample # num_samples = 100 # num_warmup = 1000 (Default) -# save_warmup = 0 (Default) +# save_warmup = false (Default) # thin = 1 (Default) # adapt -# engaged = 1 (Default) -# gamma = 0.050000000000000003 (Default) -# delta = 0.80000000000000004 (Default) +# engaged = true (Default) +# gamma = 0.05 (Default) +# delta = 0.8 (Default) # kappa = 0.75 (Default) # t0 = 10 (Default) # init_buffer = 75 (Default) # term_buffer = 50 (Default) # window = 25 (Default) +# save_metric = true # algorithm = hmc (Default) # hmc # engine = nuts (Default) @@ -26,124 +28,130 @@ # metric_file = (Default) # stepsize = 1 (Default) # stepsize_jitter = 0 (Default) -# id = 1 +# num_chains = 1 (Default) +# id = 1 (Default) # data -# file = logistic.data.R +# file = test/data/logistic.data.R # init = 2 (Default) # random # seed = 12345 # output -# file = logistic_output_1.csv +# file = /tmp/tmp0g6lwtky/logistickhkk1xer/logistic-20260720162344_1.csv # diagnostic_file = (Default) # refresh = 100 (Default) # sig_figs = 17 +# profile_file = profile.csv (Default) +# save_cmdstan_config = true +# num_threads = 1 (Default) +# stanc_version = stanc3 v2.37.0 +# stancflags = --filename-in-msg=logistic.stan lp__,accept_stat__,stepsize__,treedepth__,n_leapfrog__,divergent__,energy__,beta.1,beta.2 # Adaptation terminated -# Step size = 0.867157 +# Step size = 0.822968 # Diagonal elements of inverse mass matrix: -# 0.0574982, 0.0750306 --65.512400286053165,1,0.86715739477627263,2,3,0,66.280862231993666,1.4566622706449768,-0.4342590644812877 --65.719688477280485,0.99248257162124764,0.86715739477627263,2,3,0,65.922011060613997,1.5409448290528129,-0.59782097403029932 --66.40561737120683,0.89110655416718165,0.86715739477627263,2,3,0,67.065460661908105,1.6553555759093581,-0.70768495323223835 --65.447760329991169,0.95964309775491108,0.86715739477627263,2,3,0,66.76616089813561,1.4484211249775547,-0.45705274753495895 --65.269287751820727,1,0.86715739477627263,2,3,0,65.414888807732254,1.2276454682215834,-0.5209264945592641 --65.326028806530672,0.9813700859439215,0.86715739477627263,2,7,0,65.459221472467021,1.3165214555815385,-0.63225835202082414 --66.753475871109359,0.63806723043285762,0.86715739477627263,1,3,0,67.567791765715086,1.4647285504902614,-0.14993065223050367 --65.35474206942348,1,0.86715739477627263,2,3,0,66.470808798748209,1.2553895816226195,-0.61639706238026382 --65.908109954553495,0.76235808575060859,0.86715739477627263,2,3,0,66.886929674510398,1.0521844658942083,-0.48387526299359274 --65.265785302046012,1,0.86715739477627263,2,3,0,65.795677669044082,1.38906011432932,-0.49448645430087557 --65.993415802732883,0.87085684871886271,0.86715739477627263,2,3,0,66.577300779775157,1.0361351256362747,-0.45781525102552556 --65.606977373315729,1,0.86715739477627263,1,1,0,65.93511798177785,1.1111423494476524,-0.47256046632857684 --65.986419117332488,0.72499319468783718,0.86715739477627263,2,7,0,67.800177795555996,1.5902882367600022,-0.65230661044303839 --65.753810023267988,0.94597083505352142,0.86715739477627263,2,3,0,66.668585202671295,1.5492613344767816,-0.5929084910464365 --65.5188370344937,1,0.86715739477627263,1,1,0,65.753102552009452,1.4906922522178609,-0.53575104274149044 --65.544955501602388,1,0.86715739477627263,2,3,0,65.635430369354992,1.483769678158346,-0.63340332486418904 --65.313222727141479,0.92339757972274239,0.86715739477627263,2,3,0,66.085486419797462,1.2642247632346051,-0.39207376037715019 --66.128920011059591,0.86631266380193706,0.86715739477627263,2,3,0,66.363717114888459,1.3091258203667495,-0.83341004731653867 --68.142933133517147,0.84538747258600855,0.86715739477627263,2,3,0,68.960737743700946,1.815596974894774,-0.95115415980548657 --67.49661536929554,1,0.86715739477627263,1,1,0,68.218685615098067,1.7100687720150958,-0.94910791896127988 --67.089380661209674,0.99465854812908139,0.86715739477627263,2,3,0,67.996767890476306,1.7620998211523273,-0.66922944522473182 --66.590203924333309,1,0.86715739477627263,2,3,0,67.395961295179859,1.6784213471122733,-0.49006064020100026 --67.797575682674008,0.72566094174448326,0.86715739477627263,2,3,0,71.513279853777647,1.0266528100118646,-0.033506121483892037 --66.641128965433538,1,0.86715739477627263,2,3,0,68.728501857687135,1.1722948033254166,-0.84520544395993213 --65.365854768791479,0.98255286138747333,0.86715739477627263,2,3,0,66.666307620133921,1.4404623865144499,-0.55900256217926014 --65.873452892937323,0.87705225128108522,0.86715739477627263,2,3,0,66.126987987543473,1.4406893116019479,-0.29618408800719281 --65.645266863010193,1,0.86715739477627263,2,3,0,65.855921871376779,1.1506115895924354,-0.61432992142001952 --65.45429047664463,0.97588044325401502,0.86715739477627263,2,3,0,66.056483585555981,1.3918460578851,-0.3790157735935028 --65.785714408307953,0.73299955295148267,0.86715739477627263,2,3,0,67.672680022572848,1.312028985717143,-0.76740204748904539 --66.019343081458061,0.92629348968646141,0.86715739477627263,1,1,0,66.146291771557927,1.269569826927009,-0.79912271046582428 --65.777800264835633,0.95958209829994234,0.86715739477627263,2,7,0,66.850367759741133,1.0750828320160459,-0.47224693602550882 --65.484491032688609,0.91519201774663872,0.86715739477627263,2,7,0,66.304800231726631,1.4812581243129972,-0.56392251972517116 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+-67.519759680060133,1,0.82296841508129293,2,3,0,67.871708275708428,1.8145994686666878,-0.66984078561587179 +-67.771246933857853,0.98560652412931227,0.82296841508129293,3,7,0,68.244897885720448,1.8152474718431069,-0.84475559127069766 +-67.995160466564414,0.89513037161432074,0.82296841508129293,2,7,0,69.530647729734298,1.5369257143273465,-1.1032061138672007 +-66.920323469448931,0.98875714011758764,0.82296841508129293,2,7,0,68.543948653770286,1.7400977233644601,-0.66485072799526335 +-65.750812685810772,0.98436846876082329,0.82296841508129293,2,3,0,67.14852129470853,1.5476327382921822,-0.60290753375801365 +-66.08585517207699,0.92399407227079111,0.82296841508129293,2,3,0,66.985353479441898,1.3561978486539974,-0.83604006797879693 +-65.875769262090984,1,0.82296841508129293,1,1,0,66.093112314158958,1.3829055046506153,-0.79629631145141477 +-65.198830609797113,0.91071131969704455,0.82296841508129293,2,3,0,66.734258549258797,1.3335736008099528,-0.50331723828963182 +-65.854457190093953,0.86056918044969655,0.82296841508129293,2,3,0,66.768410549655584,1.0881266713017386,-0.33943656857362525 +-65.374704195372715,0.99861084823189905,0.82296841508129293,3,7,0,66.07604806389098,1.433072203340011,-0.48022600596576825 +-65.57997537810877,0.9110095186237358,0.82296841508129293,1,3,0,66.294264762138056,1.2122008222930569,-0.6632005787923787 # -# Elapsed Time: 0.066 seconds (Warm-up) -# 0.006 seconds (Sampling) -# 0.072 seconds (Total) +# Elapsed Time: 0.037 seconds (Warm-up) +# 0.004 seconds (Sampling) +# 0.041 seconds (Total) # diff --git a/test/data/logistic_output_1_config.json b/test/data/logistic_output_1_config.json new file mode 100644 index 00000000..c0fc80e6 --- /dev/null +++ b/test/data/logistic_output_1_config.json @@ -0,0 +1,66 @@ + +{ + "stan_major_version" : "2", + "stan_minor_version" : "37", + "stan_patch_version" : "0", + "model_name" : "logistic_model", + "start_datetime" : "2026-07-20 20:23:44 UTC", + "method" : { + "value" : "sample", + "sample" : { + "num_samples" : 100, + "num_warmup" : 1000, + "save_warmup" : false, + "thin" : 1, + "adapt" : { + "engaged" : true, + "gamma" : 0.050000000000000003, + "delta" : 0.80000000000000004, + "kappa" : 0.75, + "t0" : 10, + "init_buffer" : 75, + "term_buffer" : 50, + "window" : 25, + "save_metric" : true + }, + "algorithm" : { + "value" : "hmc", + "hmc" : { + "engine" : { + "value" : "nuts", + "nuts" : { + "max_depth" : 10 + } + }, + "metric" : { + "value" : "diag_e" + }, + "metric_file" : "", + "stepsize" : 1, + "stepsize_jitter" : 0 + } + }, + "num_chains" : 1 + } + }, + "id" : 1, + "data" : { + "file" : "test\/data\/logistic.data.R" + }, + "init" : "2", + "random" : { + "seed" : 12345 + }, + "output" : { + "file" : "\/tmp\/tmp0g6lwtky\/logistickhkk1xer\/logistic-20260720162344_1.csv", + "diagnostic_file" : "", + "refresh" : 100, + "sig_figs" : 17, + "profile_file" : "profile.csv", + "save_cmdstan_config" : true + }, + "num_threads" : 1, + "mpi_enabled" : false, + "stanc_version" : "stanc3 v2.37.0", + "stancflags" : "--filename-in-msg=logistic.stan" +} diff --git a/test/data/logistic_output_2.csv b/test/data/logistic_output_2.csv index d6b61b7a..a6ca9f0d 100644 --- a/test/data/logistic_output_2.csv +++ b/test/data/logistic_output_2.csv @@ -1,22 +1,24 @@ # stan_version_major = 2 -# stan_version_minor = 25 +# stan_version_minor = 37 # stan_version_patch = 0 # model = logistic_model +# start_datetime = 2026-07-20 20:23:44 UTC # method = sample (Default) # sample # num_samples = 100 # num_warmup = 1000 (Default) -# save_warmup = 0 (Default) +# save_warmup = false (Default) # thin = 1 (Default) # adapt -# engaged = 1 (Default) -# gamma = 0.050000000000000003 (Default) -# delta = 0.80000000000000004 (Default) +# engaged = true (Default) +# gamma = 0.05 (Default) +# delta = 0.8 (Default) # kappa = 0.75 (Default) # t0 = 10 (Default) # init_buffer = 75 (Default) # term_buffer = 50 (Default) # window = 25 (Default) +# save_metric = true # algorithm = hmc (Default) # hmc # engine = nuts (Default) @@ -26,124 +28,130 @@ # metric_file = (Default) # stepsize = 1 (Default) # stepsize_jitter = 0 (Default) +# num_chains = 1 (Default) # id = 2 # data -# file = logistic.data.R +# file = test/data/logistic.data.R # init = 2 (Default) # random # seed = 12345 # output -# file = logistic_output_2.csv +# file = /tmp/tmp0g6lwtky/logistickhkk1xer/logistic-20260720162344_2.csv # diagnostic_file = (Default) # refresh = 100 (Default) # sig_figs = 17 +# profile_file = profile.csv (Default) +# save_cmdstan_config = true +# num_threads = 1 (Default) +# stanc_version = stanc3 v2.37.0 +# stancflags = --filename-in-msg=logistic.stan lp__,accept_stat__,stepsize__,treedepth__,n_leapfrog__,divergent__,energy__,beta.1,beta.2 # Adaptation terminated -# Step size = 0.775091 +# Step size = 0.807237 # Diagonal elements of inverse mass matrix: -# 0.0430432, 0.0599893 --65.56001059223486,1,0.77509112239497502,3,7,0,68.768937432252898,1.2858956826664345,-0.3021794932200953 --65.469062471150579,0.97083614067955903,0.77509112239497502,2,3,0,66.112940073029009,1.1504010127406916,-0.50984220648066914 --66.218164339034473,0.8904137571224503,0.77509112239497502,3,7,0,66.842917041386798,1.626258845935231,-0.50231662106405206 --66.44611163232149,0.95694895834997762,0.77509112239497502,3,7,0,67.266438218884701,1.2995753769208616,-0.88199628616545955 --65.607370772152848,0.85964428188266717,0.77509112239497502,1,3,0,68.156247269579239,1.4943984519964564,-0.45909232113162379 --65.321904027713998,1,0.77509112239497502,2,3,0,65.623362211898581,1.2635442717552592,-0.60674862957310083 --66.198851169141662,0.90936335069804497,0.77509112239497502,2,7,0,66.235677128452707,1.5471257616485408,-0.33369348280659256 --68.470836108407013,0.843312574314112,0.77509112239497502,2,3,0,69.064624167038303,1.5970914253333564,-1.1488637406815776 --67.530162794926852,0.97212020329943094,0.77509112239497502,2,3,0,69.294992720675722,1.7723733427626058,-0.86702689895995322 --65.319536638528149,0.99095777064141544,0.77509112239497502,3,7,0,67.944278017446294,1.3507225957562992,-0.40626224050232007 --65.217699237136841,0.97366799528803549,0.77509112239497502,2,3,0,65.587195188693556,1.3517284491487978,-0.54745559732991733 --65.429541064822942,0.95615942734863968,0.77509112239497502,3,7,0,65.797603989184736,1.4142672174981421,-0.41270968129054059 --65.225250090079669,0.9981616220967785,0.77509112239497502,3,7,0,65.585839761918336,1.304542554263693,-0.56785012838122284 --65.846848332416968,0.93546695898901289,0.77509112239497502,3,7,0,66.14081101462989,1.1803802303560549,-0.25314890999300399 --65.682239013873243,0.71512237476561891,0.77509112239497502,3,7,0,69.018968448869032,1.3809580807570572,-0.30119127957587721 --65.254770407300981,0.91929185568456184,0.77509112239497502,3,7,0,66.438059339134483,1.3331585159495722,-0.59404447235721503 --65.285540061138761,0.99934725143343495,0.77509112239497502,3,7,0,65.294247370524204,1.2780150585779138,-0.40421611929908918 --65.579888301587815,0.9547382304263291,0.77509112239497502,2,3,0,65.811227707531927,1.1223859959387492,-0.42126482543236549 --65.764371577842468,0.97008151650253238,0.77509112239497502,2,3,0,66.039786061545186,1.2421384239600939,-0.25341044054820527 --65.623399188247859,0.83504053827643787,0.77509112239497502,2,3,0,67.790678622596815,1.2699954313874096,-0.71338964780421521 --66.193381255542477,0.95561168020244169,0.77509112239497502,2,3,0,66.699422423283451,1.0165669799005748,-0.35944500492533699 --68.233900747582638,0.67053640264497538,0.77509112239497502,2,3,0,69.455113589133404,1.1312774511108141,0.060230280730240671 --66.374076607963787,1,0.77509112239497502,3,7,0,68.217544575768827,1.3795517892750899,-0.16423664327383874 --65.39331825616901,0.96266781516703848,0.77509112239497502,2,3,0,66.936134946865806,1.1851085325977191,-0.41330276804351213 --65.595961372505869,0.9443547509209449,0.77509112239497502,3,7,0,66.136783008097439,1.3170555820873198,-0.72313210208420609 --65.494924132020742,1,0.77509112239497502,3,7,0,65.715788922128652,1.4131141202147159,-0.68507973135998634 --67.807116155964266,0.87437612501377104,0.77509112239497502,2,3,0,67.887778427392931,1.6676289165988141,-1.0362912889286389 --66.869402082591819,1,0.77509112239497502,2,3,0,68.278195523251497,1.7329993290462864,-0.66750779803853622 --65.771158882002382,0.98849352925723355,0.77509112239497502,2,3,0,67.079925157468253,1.5467275374183089,-0.50892528909761903 --65.466762190132528,0.83692150601818349,0.77509112239497502,2,3,0,67.561260695316719,1.4456476305053685,-0.43984738086754666 --65.343870018604221,0.93558518803173563,0.77509112239497502,1,3,0,66.112513260280551,1.2670083284738589,-0.61959292686923151 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+-65.688651971418224,0.91220355716242985,0.80723664360220015,2,3,0,66.101699233184647,1.5315781624409723,-0.52384446356520897 +-65.917471648135219,0.7096950746895988,0.80723664360220015,3,7,0,69.808126141112353,1.2722757356961933,-0.21963697332457882 +-68.003820044225691,0.82368640739597276,0.80723664360220015,2,3,0,68.452004505883664,1.499768067777419,-1.1069008335060802 +-66.894182511568061,1,0.80723664360220015,2,3,0,68.494486570744073,1.7375070374853585,-0.62534027673631121 # -# Elapsed Time: 0.057 seconds (Warm-up) -# 0.007 seconds (Sampling) -# 0.064 seconds (Total) +# Elapsed Time: 0.037 seconds (Warm-up) +# 0.004 seconds (Sampling) +# 0.041 seconds (Total) # diff --git a/test/data/logistic_output_2_config.json b/test/data/logistic_output_2_config.json new file mode 100644 index 00000000..ec373f22 --- /dev/null +++ b/test/data/logistic_output_2_config.json @@ -0,0 +1,66 @@ + +{ + "stan_major_version" : "2", + "stan_minor_version" : "37", + "stan_patch_version" : "0", + "model_name" : "logistic_model", + "start_datetime" : "2026-07-20 20:23:44 UTC", + "method" : { + "value" : "sample", + "sample" : { + "num_samples" : 100, + "num_warmup" : 1000, + "save_warmup" : false, + "thin" : 1, + "adapt" : { + "engaged" : true, + "gamma" : 0.050000000000000003, + "delta" : 0.80000000000000004, + "kappa" : 0.75, + "t0" : 10, + "init_buffer" : 75, + "term_buffer" : 50, + "window" : 25, + "save_metric" : true + }, + "algorithm" : { + "value" : "hmc", + "hmc" : { + "engine" : { + "value" : "nuts", + "nuts" : { + "max_depth" : 10 + } + }, + "metric" : { + "value" : "diag_e" + }, + "metric_file" : "", + "stepsize" : 1, + "stepsize_jitter" : 0 + } + }, + "num_chains" : 1 + } + }, + "id" : 2, + "data" : { + "file" : "test\/data\/logistic.data.R" + }, + "init" : "2", + "random" : { + "seed" : 12345 + }, + "output" : { + "file" : "\/tmp\/tmp0g6lwtky\/logistickhkk1xer\/logistic-20260720162344_2.csv", + "diagnostic_file" : "", + "refresh" : 100, + "sig_figs" : 17, + "profile_file" : "profile.csv", + "save_cmdstan_config" : true + }, + "num_threads" : 1, + "mpi_enabled" : false, + "stanc_version" : "stanc3 v2.37.0", + "stancflags" : "--filename-in-msg=logistic.stan" +} diff --git a/test/data/logistic_output_3.csv b/test/data/logistic_output_3.csv index a806d6db..742703bc 100644 --- a/test/data/logistic_output_3.csv +++ b/test/data/logistic_output_3.csv @@ -1,22 +1,24 @@ # stan_version_major = 2 -# stan_version_minor = 25 +# stan_version_minor = 37 # stan_version_patch = 0 # model = logistic_model +# start_datetime = 2026-07-20 20:23:44 UTC # method = sample (Default) # sample # num_samples = 100 # num_warmup = 1000 (Default) -# save_warmup = 0 (Default) +# save_warmup = false (Default) # thin = 1 (Default) # adapt -# engaged = 1 (Default) -# gamma = 0.050000000000000003 (Default) -# delta = 0.80000000000000004 (Default) +# engaged = true (Default) +# gamma = 0.05 (Default) +# delta = 0.8 (Default) # kappa = 0.75 (Default) # t0 = 10 (Default) # init_buffer = 75 (Default) # term_buffer = 50 (Default) # window = 25 (Default) +# save_metric = true # algorithm = hmc (Default) # hmc # engine = nuts (Default) @@ -26,124 +28,130 @@ # metric_file = (Default) # stepsize = 1 (Default) # stepsize_jitter = 0 (Default) +# num_chains = 1 (Default) # id = 3 # data -# file = logistic.data.R +# file = test/data/logistic.data.R # init = 2 (Default) # random # seed = 12345 # output -# file = logistic_output_3.csv +# file = /tmp/tmp0g6lwtky/logistickhkk1xer/logistic-20260720162344_3.csv # diagnostic_file = (Default) # refresh = 100 (Default) # sig_figs = 17 +# profile_file = profile.csv (Default) +# save_cmdstan_config = true +# num_threads = 1 (Default) +# stanc_version = stanc3 v2.37.0 +# stancflags = --filename-in-msg=logistic.stan lp__,accept_stat__,stepsize__,treedepth__,n_leapfrog__,divergent__,energy__,beta.1,beta.2 # Adaptation terminated -# Step size = 0.893365 +# Step size = 0.778789 # Diagonal elements of inverse mass matrix: -# 0.0460469, 0.0527956 --65.505817829767395,1,0.89336516701798208,2,3,0,66.568673034237975,1.3250544321028301,-0.32473969429595312 --65.412998623075694,0.94226911711082784,0.89336516701798208,1,3,0,66.191677260322123,1.4558038077059023,-0.57679257464888201 --65.574810054077787,0.97141961136686938,0.89336516701798208,1,1,0,65.580133765725392,1.5067328243822646,-0.57069748673412535 --65.588927384457733,0.98318845767729923,0.89336516701798208,2,3,0,65.908878462264497,1.1665556922735556,-0.33652998855918959 --66.09643763078094,0.90668463307015978,0.89336516701798208,2,3,0,66.616409590016175,1.2490859350077712,-0.18679016763255296 --65.440143752579004,0.73589158663352328,0.89336516701798208,2,3,0,69.395538806742962,1.1953936956415265,-0.59270871526831626 --65.521835749337527,0.90357069834109682,0.89336516701798208,1,3,0,66.2395677139139,1.456141938298781,-0.42846005708091067 --68.312482915251124,0.69671604781618701,0.89336516701798208,2,3,0,69.148645114591659,1.8350902465586949,-0.373823054219729 --68.139244204054435,1,0.89336516701798208,2,3,0,69.086368432623971,1.7386146507929172,-0.22274253916007714 --66.749110214693317,1,0.89336516701798208,1,1,0,68.016601694820508,1.5724915967161559,-0.24514813061500396 --65.971104371564536,0.99467313930662848,0.89336516701798208,2,3,0,67.387651118854521,1.1332872734401271,-0.25238264351085477 --65.5442679269526,0.96456477937761742,0.89336516701798208,2,3,0,66.430103049806405,1.1388326998744738,-0.54092911359328233 --65.446826342344835,1,0.89336516701798208,1,1,0,65.559040602734328,1.1647100308902478,-0.53825150353906992 --65.568204750996117,0.99437439928626947,0.89336516701798208,3,7,0,65.639387405598455,1.1203740467934902,-0.47270218250340101 --65.786222876234348,0.7792511431653667,0.89336516701798208,1,3,0,67.658774799327873,1.5552605081429887,-0.60646687216533945 --67.937196718552386,0.83078746528748726,0.89336516701798208,2,3,0,68.260370133292184,1.86105122842007,-0.68735919001967749 --65.418166468215347,1,0.89336516701798208,2,3,0,67.56115723207526,1.3488613535738945,-0.67240077373121865 --65.288362867386354,0.97934489526098356,0.89336516701798208,3,7,0,65.686620660812125,1.2456467497895802,-0.41536400867007467 --66.616669957116287,0.82385481375240577,0.89336516701798208,2,3,0,66.873586080428097,1.6220844217852683,-0.34384006162949299 --65.902453306152594,0.98950156369684661,0.89336516701798208,2,3,0,66.609030354856472,1.2115324179420659,-0.74349951746969123 --65.316022959092635,0.95128530222521246,0.89336516701798208,2,3,0,66.433613993042584,1.2307018300720169,-0.4084013965078529 --65.455941708360243,0.96118963096560373,0.89336516701798208,3,7,0,65.71564874031354,1.3351194726484383,-0.68498797454931903 --65.527214463215472,0.99060501834101355,0.89336516701798208,1,1,0,65.558040084785375,1.3556087864094299,-0.70863841127078486 --67.02457304151028,0.84420077409890359,0.89336516701798208,2,3,0,67.152181164380352,1.7367950428417533,-0.49785025168113034 --66.121386805485116,1,0.89336516701798208,1,1,0,66.87318065456202,1.6169685315550071,-0.53619076941856947 --68.365790034762355,0.85533028969902247,0.89336516701798208,2,3,0,69.066346060770982,1.9015293075080164,-0.77051339615694259 --66.99443950904228,0.9512667322675582,0.89336516701798208,2,7,0,68.838190900618727,0.90772061143856642,-0.47875544540988046 --66.508727501769243,0.98348108787595179,0.89336516701798208,2,3,0,68.472022882080836,1.5846991203985743,-0.31108493620313099 --65.644115970917625,0.96299924661974523,0.89336516701798208,2,7,0,67.229164070195395,1.2289357991438996,-0.28530601318599536 --67.798373796448971,0.56501479024381762,0.89336516701798208,2,3,0,69.027161362620546,0.88444710909097635,-0.66947129688811557 --68.21932829373111,0.91162268309577243,0.89336516701798208,2,3,0,69.07556210333054,1.7290018361549344,-0.1955359656664008 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+-65.841948729926969,0.9990261500295351,0.77878893921149328,2,3,0,66.648787366787431,1.076263174085045,-0.54411125602282384 +-66.435915383723696,0.96646621051019499,0.77878893921149328,2,3,0,66.477625126375486,0.97997852369936289,-0.52190964368234838 +-65.989268670387489,1,0.77878893921149328,2,3,0,66.614073372138037,1.5882282010577762,-0.50553007859007282 +-65.869113141524494,0.99217068115672225,0.77878893921149328,2,7,0,66.297225068079186,1.3712487932568269,-0.79467791117986941 +-65.838314672686906,0.99454709557041165,0.77878893921149328,2,7,0,66.192148570899192,1.5659538260829657,-0.54246875836589914 +-65.245290608996001,0.98774287834576613,0.77878893921149328,3,7,0,66.112295568367742,1.2441848451105328,-0.52660952758947155 +-65.350842530956797,0.99072793871121156,0.77878893921149328,2,3,0,65.36491219855418,1.2309911222816214,-0.5921604378073384 +-65.320371728330031,1,0.77878893921149328,2,3,0,65.363666406573273,1.3469461730942451,-0.40345937977220847 +-66.3330080525608,0.65797376212859626,0.77878893921149328,3,7,0,70.003361351684632,1.0175295813060277,-0.29859895618846022 +-66.9858747420258,0.93348552232862336,0.77878893921149328,3,7,0,67.526616606898884,0.92284680343583125,-0.55398181887530651 +-65.521142607819272,0.9494525977956888,0.77878893921149328,3,7,0,67.461114749393829,1.1404904803134339,-0.52718426480343961 +-65.242720305636908,0.99238085294718115,0.77878893921149328,2,3,0,65.59687386954316,1.2584687129853143,-0.54831840736260973 +-66.957633151012587,0.51520170614206406,0.77878893921149328,2,3,0,69.897584381055381,1.4093109723579322,-0.091719714617842202 +-65.343788379167563,0.8527666244241493,0.77878893921149328,1,3,0,68.511547019063698,1.3717222985733468,-0.6369755169740019 +-65.301890996207234,0.95679014456160305,0.77878893921149328,1,3,0,65.933597877122878,1.2067991813360959,-0.46995711809699847 +-65.24946923621485,0.99293761319542828,0.77878893921149328,3,7,0,65.414312439777561,1.2441480314409032,-0.45279197632908685 +-65.591202295318951,0.89477780658536565,0.77878893921149328,1,3,0,66.051083269696846,1.4584907842363992,-0.40074391979599933 +-65.745054013487106,0.99461721994468744,0.77878893921149328,3,7,0,66.018429719156202,1.5465561784980673,-0.54294409841767988 +-67.066650085899397,0.91201828285662645,0.77878893921149328,2,3,0,67.407184245854793,1.7592433613600031,-0.66774351104439233 +-65.554576810425786,0.99159593909213806,0.77878893921149328,2,3,0,67.328132421906474,1.4430373084553911,-0.39455188049319811 +-65.898353023125964,0.9565288027031239,0.77878893921149328,2,3,0,66.397743212536838,1.451308279052808,-0.78979993724486519 +-67.881095309948805,0.8233426000046915,0.77878893921149328,2,3,0,68.397122826854115,1.29570507130915,0.042138868455893486 # -# Elapsed Time: 0.052 seconds (Warm-up) -# 0.006 seconds (Sampling) -# 0.058 seconds (Total) +# Elapsed Time: 0.037 seconds (Warm-up) +# 0.004 seconds (Sampling) +# 0.041 seconds (Total) # diff --git a/test/data/logistic_output_3_config.json b/test/data/logistic_output_3_config.json new file mode 100644 index 00000000..a1088cec --- /dev/null +++ b/test/data/logistic_output_3_config.json @@ -0,0 +1,66 @@ + +{ + "stan_major_version" : "2", + "stan_minor_version" : "37", + "stan_patch_version" : "0", + "model_name" : "logistic_model", + "start_datetime" : "2026-07-20 20:23:44 UTC", + "method" : { + "value" : "sample", + "sample" : { + "num_samples" : 100, + "num_warmup" : 1000, + "save_warmup" : false, + "thin" : 1, + "adapt" : { + "engaged" : true, + "gamma" : 0.050000000000000003, + "delta" : 0.80000000000000004, + "kappa" : 0.75, + "t0" : 10, + "init_buffer" : 75, + "term_buffer" : 50, + "window" : 25, + "save_metric" : true + }, + "algorithm" : { + "value" : "hmc", + "hmc" : { + "engine" : { + "value" : "nuts", + "nuts" : { + "max_depth" : 10 + } + }, + "metric" : { + "value" : "diag_e" + }, + "metric_file" : "", + "stepsize" : 1, + "stepsize_jitter" : 0 + } + }, + "num_chains" : 1 + } + }, + "id" : 3, + "data" : { + "file" : "test\/data\/logistic.data.R" + }, + "init" : "2", + "random" : { + "seed" : 12345 + }, + "output" : { + "file" : "\/tmp\/tmp0g6lwtky\/logistickhkk1xer\/logistic-20260720162344_3.csv", + "diagnostic_file" : "", + "refresh" : 100, + "sig_figs" : 17, + "profile_file" : "profile.csv", + "save_cmdstan_config" : true + }, + "num_threads" : 1, + "mpi_enabled" : false, + "stanc_version" : "stanc3 v2.37.0", + "stancflags" : "--filename-in-msg=logistic.stan" +} diff --git a/test/data/logistic_output_4.csv b/test/data/logistic_output_4.csv index c3a0d1a5..d34ccdb6 100644 --- a/test/data/logistic_output_4.csv +++ b/test/data/logistic_output_4.csv @@ -1,22 +1,24 @@ # stan_version_major = 2 -# stan_version_minor = 25 +# stan_version_minor = 37 # stan_version_patch = 0 # model = logistic_model +# start_datetime = 2026-07-20 20:23:44 UTC # method = sample (Default) # sample # num_samples = 100 # num_warmup = 1000 (Default) -# save_warmup = 0 (Default) +# save_warmup = false (Default) # thin = 1 (Default) # adapt -# engaged = 1 (Default) -# gamma = 0.050000000000000003 (Default) -# delta = 0.80000000000000004 (Default) +# engaged = true (Default) +# gamma = 0.05 (Default) +# delta = 0.8 (Default) # kappa = 0.75 (Default) # t0 = 10 (Default) # init_buffer = 75 (Default) # term_buffer = 50 (Default) # window = 25 (Default) +# save_metric = true # algorithm = hmc (Default) # hmc # engine = nuts (Default) @@ -26,124 +28,130 @@ # metric_file = (Default) # stepsize = 1 (Default) # stepsize_jitter = 0 (Default) +# num_chains = 1 (Default) # id = 4 # data -# file = logistic.data.R +# file = test/data/logistic.data.R # init = 2 (Default) # random # seed = 12345 # output -# file = logistic_output_4.csv +# file = /tmp/tmp0g6lwtky/logistickhkk1xer/logistic-20260720162344_4.csv # diagnostic_file = (Default) # refresh = 100 (Default) # sig_figs = 17 +# profile_file = profile.csv (Default) +# save_cmdstan_config = true +# num_threads = 1 (Default) +# stanc_version = stanc3 v2.37.0 +# stancflags = --filename-in-msg=logistic.stan lp__,accept_stat__,stepsize__,treedepth__,n_leapfrog__,divergent__,energy__,beta.1,beta.2 # Adaptation terminated -# Step size = 0.947608 +# Step size = 0.852143 # Diagonal elements of inverse mass matrix: -# 0.0462363, 0.0566844 --66.847035785602301,0.82648539991727776,0.94760825861307307,1,1,0,66.937592630087181,0.9230629657124465,-0.39289875123005341 --66.073191110529336,0.76080690440456777,0.94760825861307307,2,3,0,70.030179311789652,1.6090142982985995,-0.53801634538037302 --65.694230224352665,1,0.94760825861307307,2,3,0,66.141127792543713,1.0938587123887547,-0.49415295442414359 --66.757263610353576,0.86725995923981802,0.94760825861307307,2,3,0,67.002147863884275,1.5399926071963366,-0.20923188875598672 --67.580678199408894,0.84177519278190138,0.94760825861307307,1,1,0,67.81301431165214,1.6546058058396356,-0.19881333213040589 --66.215926451172152,1,0.94760825861307307,1,1,0,67.334421711328787,1.5105895669947076,-0.28449555872849008 --65.265752403185047,0.98035277328784731,0.94760825861307307,2,3,0,66.280388779410728,1.2423810569592624,-0.43665561513942064 --66.096306922144493,0.78624867898706075,0.94760825861307307,1,3,0,66.469880753236382,1.5210371176584987,-0.32517795560591145 --65.440214806641208,1,0.94760825861307307,1,1,0,65.93596004475215,1.4314903982013774,-0.43111261106288579 --65.373726607514996,0.73857239120012641,0.94760825861307307,2,3,0,67.630386417873581,1.3853294975109245,-0.6462574026737079 --65.23800564438055,0.98567017108484445,0.94760825861307307,2,3,0,65.508403145196965,1.2781027903993085,-0.43691884235707168 --65.247394586652916,0.83773383922669953,0.94760825861307307,3,7,0,66.482854904225661,1.2353872951639677,-0.49049101092260627 --65.237520340216719,0.86837154622139445,0.94760825861307307,2,3,0,66.433159976561328,1.2790500766131756,-0.43703790751605576 --68.699452561391823,0.3858481963670361,0.94760825861307307,1,3,0,69.553411139071798,1.0145233275867012,-0.96448768008876307 --65.353182647924285,1,0.94760825861307307,1,3,0,68.051338339345335,1.3478936159826702,-0.64630754031966653 --65.193717199991966,0.99687515279214167,0.94760825861307307,2,3,0,65.410185372170503,1.2952111957858401,-0.5092197666123619 --65.250624686724024,0.61147858140890576,0.94760825861307307,2,3,0,68.063091064026366,1.3543384797312512,-0.45319346643540748 --66.493859424469548,0.84153939442753778,0.94760825861307307,2,3,0,66.688098398651576,1.2323281062971867,-0.86018151008934174 --65.575011395014798,0.94523491565101081,0.94760825861307307,1,3,0,67.43997523181109,1.1375720859092822,-0.38239397283561538 --65.268469684640692,0.94791290625159863,0.94760825861307307,2,3,0,66.150962322625617,1.3941419682135177,-0.55066420618185141 --65.213974098126599,0.99950901314364027,0.94760825861307307,2,3,0,65.286631042361918,1.2625225303546113,-0.50273242673983809 --65.833460141108674,0.77161878301467335,0.94760825861307307,2,3,0,66.90813614636636,1.5311391284329574,-0.70813354553037722 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+-65.338694768924455,0.90508117700251345,0.85214264077664958,2,3,0,65.965761733156072,1.430016107841557,-0.55080986400146803 +-65.230064412431688,0.98624693738469249,0.85214264077664958,2,3,0,65.474298328740304,1.24778691786255,-0.49489677220258815 +-65.561850374718375,0.76833128422587027,0.85214264077664958,2,3,0,67.776963534378709,1.1723965213104641,-0.3413083113146379 +-65.369108355190974,0.885969775362764,0.85214264077664958,2,3,0,66.524058127110862,1.3985487883718539,-0.63642316422336787 +-65.504108045212746,0.98284952504572587,0.85214264077664958,1,1,0,65.507521124716021,1.4397102046090826,-0.67113951971044505 +-67.325083355089404,0.79237221235553357,0.85214264077664958,2,3,0,67.792852587008795,1.3832370801692178,-1.0200956685383316 +-65.278361067678034,0.98493658315453381,0.85214264077664958,2,3,0,67.385450411377008,1.3373397703865713,-0.60899947314548153 +-65.958664411454123,0.79975387545160315,0.85214264077664958,1,3,0,66.5420550939712,1.4611953351393301,-0.29385619736931995 +-66.798688627736979,0.84764058339582671,0.85214264077664958,1,1,0,66.830247428509864,1.5577975988688513,-0.21989284813732671 +-67.223356709057526,0.97854823140200542,0.85214264077664958,2,3,0,67.890034037571965,1.3933422799405839,-0.051591553833772036 +-67.005966323766074,0.99987587243307807,0.85214264077664958,2,7,0,67.31906003750548,1.1573761223128163,-0.88598489239396172 +-67.005966323766074,0.83652434734818459,0.85214264077664958,1,1,0,67.938249931403021,1.1573761223128163,-0.88598489239396172 +-66.2218439314194,1,0.85214264077664958,1,1,0,66.94079685658123,1.1751587982850205,-0.77890971178228585 +-65.85263642067342,0.78681208088265187,0.85214264077664958,1,3,0,68.060631014123132,1.4890052628264552,-0.35162748773100966 +-66.360060614323473,0.86980453890609721,0.85214264077664958,2,3,0,67.446697267919532,1.3970951577305264,-0.17409801696080046 # -# Elapsed Time: 0.054 seconds (Warm-up) -# 0.005 seconds (Sampling) -# 0.059 seconds (Total) +# Elapsed Time: 0.037 seconds (Warm-up) +# 0.003 seconds (Sampling) +# 0.04 seconds (Total) # diff --git a/test/data/logistic_output_4_config.json b/test/data/logistic_output_4_config.json new file mode 100644 index 00000000..03a813da --- /dev/null +++ b/test/data/logistic_output_4_config.json @@ -0,0 +1,66 @@ + +{ + "stan_major_version" : "2", + "stan_minor_version" : "37", + "stan_patch_version" : "0", + "model_name" : "logistic_model", + "start_datetime" : "2026-07-20 20:23:44 UTC", + "method" : { + "value" : "sample", + "sample" : { + "num_samples" : 100, + "num_warmup" : 1000, + "save_warmup" : false, + "thin" : 1, + "adapt" : { + "engaged" : true, + "gamma" : 0.050000000000000003, + "delta" : 0.80000000000000004, + "kappa" : 0.75, + "t0" : 10, + "init_buffer" : 75, + "term_buffer" : 50, + "window" : 25, + "save_metric" : true + }, + "algorithm" : { + "value" : "hmc", + "hmc" : { + "engine" : { + "value" : "nuts", + "nuts" : { + "max_depth" : 10 + } + }, + "metric" : { + "value" : "diag_e" + }, + "metric_file" : "", + "stepsize" : 1, + "stepsize_jitter" : 0 + } + }, + "num_chains" : 1 + } + }, + "id" : 4, + "data" : { + "file" : "test\/data\/logistic.data.R" + }, + "init" : "2", + "random" : { + "seed" : 12345 + }, + "output" : { + "file" : "\/tmp\/tmp0g6lwtky\/logistickhkk1xer\/logistic-20260720162344_4.csv", + "diagnostic_file" : "", + "refresh" : 100, + "sig_figs" : 17, + "profile_file" : "profile.csv", + "save_cmdstan_config" : true + }, + "num_threads" : 1, + "mpi_enabled" : false, + "stanc_version" : "stanc3 v2.37.0", + "stancflags" : "--filename-in-msg=logistic.stan" +} diff --git a/test/data/lotka-volterra_config.json b/test/data/lotka-volterra_config.json new file mode 100644 index 00000000..004c4b63 --- /dev/null +++ b/test/data/lotka-volterra_config.json @@ -0,0 +1,60 @@ +{ + "stan_major_version": "2", + "stan_minor_version": "23", + "stan_patch_version": "0", + "model_name": "lotka_volterra_ex2_model", + "method": { + "value": "sample", + "sample": { + "num_samples": 20, + "num_warmup": 1000, + "save_warmup": false, + "thin": 1, + "adapt": { + "engaged": true, + "gamma": 0.05, + "delta": 0.8, + "kappa": 0.75, + "t0": 10, + "init_buffer": 75, + "term_buffer": 50, + "window": 25 + }, + "algorithm": { + "value": "hmc", + "hmc": { + "engine": { + "value": "nuts", + "nuts": { + "max_depth": 10 + } + }, + "metric": { + "value": "diag_e" + }, + "metric_file": "", + "stepsize": 1, + "stepsize_jitter": 0 + } + }, + "num_chains": 1 + } + }, + "id": 1, + "data": { + "file": "/var/folders/sc/0f0wdc_11_xgjs2v52g20fvr0000gn/T/Rtmp0Njtel/standata-944f7da137b4.json" + }, + "init": "2", + "random": { + "seed": 12345 + }, + "output": { + "file": "", + "diagnostic_file": "", + "refresh": 100, + "sig_figs": -1, + "profile_file": "profile.csv", + "save_cmdstan_config": true + }, + "num_threads": 1 +} diff --git a/test/data/multidim_vars.csv b/test/data/multidim_vars.csv index 7acbd39d..6146ac14 100644 --- a/test/data/multidim_vars.csv +++ b/test/data/multidim_vars.csv @@ -1,22 +1,24 @@ # stan_version_major = 2 -# stan_version_minor = 26 +# stan_version_minor = 37 # stan_version_patch = 0 # model = multidim_vars_model +# start_datetime = 2026-07-20 20:23:44 UTC # method = sample (Default) # sample # num_samples = 20 # num_warmup = 1000 (Default) -# save_warmup = 0 (Default) +# save_warmup = false (Default) # thin = 1 (Default) # adapt -# engaged = 1 (Default) -# gamma = 0.050000000000000003 (Default) -# delta = 0.80000000000000004 (Default) +# engaged = true (Default) +# gamma = 0.05 (Default) +# delta = 0.8 (Default) # kappa = 0.75 (Default) # t0 = 10 (Default) # init_buffer = 75 (Default) # term_buffer = 50 (Default) # window = 25 (Default) +# save_metric = true # algorithm = hmc (Default) # hmc # engine = nuts (Default) @@ -26,47 +28,50 @@ # metric_file = (Default) # stepsize = 1 (Default) # stepsize_jitter = 0 (Default) -# id = 0 (Default) +# num_chains = 1 (Default) +# id = 1 (Default) # data -# file = logistic.data.R +# file = test/data/logistic.data.R # init = 2 (Default) # random # seed = 12345 # output -# file = output.csv (Default) +# file = /tmp/tmp0g6lwtky/multidim_varswjejesho/multidim_vars-20260720162344.csv # diagnostic_file = (Default) # refresh = 100 (Default) -# sig_figs = -1 (Default) +# sig_figs = 8 (Default) # profile_file = profile.csv (Default) -# stanc_version = stanc3 v2.26.0 -# stancflags = +# save_cmdstan_config = true +# num_threads = 1 (Default) +# stanc_version = stanc3 v2.37.0 +# stancflags = --filename-in-msg=multidim_vars.stan lp__,accept_stat__,stepsize__,treedepth__,n_leapfrog__,divergent__,energy__,beta.1,beta.2,y_rep.1.1.1,y_rep.2.1.1,y_rep.3.1.1,y_rep.4.1.1,y_rep.5.1.1,y_rep.1.2.1,y_rep.2.2.1,y_rep.3.2.1,y_rep.4.2.1,y_rep.5.2.1,y_rep.1.3.1,y_rep.2.3.1,y_rep.3.3.1,y_rep.4.3.1,y_rep.5.3.1,y_rep.1.4.1,y_rep.2.4.1,y_rep.3.4.1,y_rep.4.4.1,y_rep.5.4.1,y_rep.1.1.2,y_rep.2.1.2,y_rep.3.1.2,y_rep.4.1.2,y_rep.5.1.2,y_rep.1.2.2,y_rep.2.2.2,y_rep.3.2.2,y_rep.4.2.2,y_rep.5.2.2,y_rep.1.3.2,y_rep.2.3.2,y_rep.3.3.2,y_rep.4.3.2,y_rep.5.3.2,y_rep.1.4.2,y_rep.2.4.2,y_rep.3.4.2,y_rep.4.4.2,y_rep.5.4.2,y_rep.1.1.3,y_rep.2.1.3,y_rep.3.1.3,y_rep.4.1.3,y_rep.5.1.3,y_rep.1.2.3,y_rep.2.2.3,y_rep.3.2.3,y_rep.4.2.3,y_rep.5.2.3,y_rep.1.3.3,y_rep.2.3.3,y_rep.3.3.3,y_rep.4.3.3,y_rep.5.3.3,y_rep.1.4.3,y_rep.2.4.3,y_rep.3.4.3,y_rep.4.4.3,y_rep.5.4.3,frac_60 # Adaptation terminated -# Step size = 0.751162 +# Step size = 0.822968 # Diagonal elements of inverse mass matrix: -# 0.0541341, 0.0622696 --65.5455,0.989228,0.751162,2,3,0,65.9838,1.20854,-0.321635,1,0,1,1,1,1,1,1,1,1,0,0,1,0,1,1,1,0,0,1,1,1,0,1,1,1,1,1,1,1,0,1,1,1,1,1,1,1,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0,1,0,1,1,1,1,49 --66.9501,0.830543,0.751162,2,3,0,67.4754,1.71933,-0.467397,1,1,1,1,1,1,1,1,0,1,0,1,0,1,1,1,1,0,0,1,1,1,1,1,0,1,1,1,1,1,1,1,1,1,1,0,1,1,1,0,1,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0,50 --65.2785,0.965586,0.751162,2,3,0,67.3877,1.39309,-0.571685,1,1,1,1,1,1,1,1,1,1,1,1,1,0,1,1,1,0,1,1,1,1,1,1,1,1,0,1,1,1,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0,0,0,1,1,1,0,0,1,1,1,1,1,1,1,51 --65.3554,0.983205,0.751162,3,7,0,65.5188,1.42837,-0.588884,1,1,1,1,1,0,1,1,1,1,1,1,1,0,1,1,1,0,1,1,1,1,1,1,0,0,1,1,0,0,1,1,1,1,1,1,1,1,1,0,1,1,1,1,1,1,1,1,0,0,0,0,1,1,1,0,0,1,1,0,45 --66.1657,0.897677,0.751162,2,3,0,66.6891,1.02644,-0.342889,1,1,1,1,0,1,1,1,0,0,1,0,0,0,1,1,1,0,0,1,0,1,1,0,1,1,1,1,0,1,1,1,1,1,1,1,0,1,1,0,0,1,1,0,1,0,1,1,0,0,1,0,0,1,1,1,1,1,1,1,40 --66.2858,0.943164,0.751162,2,3,0,67.1865,1.11351,-0.199264,1,1,1,1,1,1,1,0,0,0,1,1,1,1,0,0,1,0,1,1,1,1,1,1,0,0,1,1,0,1,1,1,1,1,0,1,0,1,1,1,1,1,1,1,1,1,1,0,1,0,0,1,0,1,1,1,0,1,0,1,43 --66.9337,0.977406,0.751162,3,7,0,66.9731,1.03951,-0.142089,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0,0,0,0,1,1,0,1,1,1,1,1,1,0,0,0,1,0,1,1,1,1,1,1,1,1,1,0,1,1,1,1,1,0,1,0,0,0,1,1,0,1,1,1,1,45 --66.5123,1,0.751162,2,3,0,67.2325,0.982741,-0.315295,1,1,1,0,0,1,1,1,0,0,1,1,1,0,1,1,0,1,1,1,1,1,0,0,0,1,1,1,0,1,0,1,0,1,1,1,0,1,1,1,1,0,1,1,1,1,1,0,1,1,1,0,1,1,1,1,0,1,0,0,41 --66.4906,0.997862,0.751162,3,7,0,66.7771,0.967108,-0.391113,1,1,1,1,0,0,0,1,1,1,0,0,1,1,1,1,1,1,0,1,1,1,0,1,1,1,1,1,0,0,1,1,1,0,1,1,0,0,1,0,1,0,1,1,1,1,1,1,1,1,1,1,1,1,1,0,1,1,1,1,45 --67.0368,0.907571,0.751162,1,1,0,67.1374,0.907566,-0.350158,0,1,1,1,1,1,1,0,1,1,1,1,1,0,1,1,1,0,0,1,1,1,1,0,0,1,1,1,0,1,1,0,0,1,0,1,0,1,1,1,1,1,1,1,1,1,1,1,0,1,1,1,0,1,1,1,0,1,1,1,45 --65.2041,1,0.751162,2,3,0,66.8568,1.27942,-0.520677,1,1,1,1,1,1,1,0,0,1,1,1,1,1,1,1,1,0,1,1,1,1,1,1,1,1,1,1,1,1,1,0,1,1,0,0,0,0,1,1,1,1,0,0,1,1,1,0,1,1,1,1,1,1,1,0,1,0,0,1,46 --67.3948,0.526839,0.751162,2,3,0,69.7357,1.51931,-0.0961594,1,1,1,1,1,1,1,1,1,1,1,1,0,1,1,1,1,1,1,1,1,1,1,1,1,0,0,1,1,1,1,1,1,1,1,0,1,1,1,0,0,1,1,0,1,1,0,0,0,1,1,0,0,1,1,1,1,1,1,1,48 --66.5509,1,0.751162,2,3,0,67.9525,0.959492,-0.486466,1,1,1,1,0,1,1,1,0,0,1,1,0,1,1,1,1,0,0,1,1,1,1,0,1,1,1,1,0,1,1,1,1,1,0,1,1,0,0,1,1,1,0,0,1,1,1,0,0,0,1,0,0,1,1,0,1,1,1,1,41 --65.2661,1,0.751162,2,3,0,66.341,1.32797,-0.423238,1,0,1,0,1,1,1,1,1,1,0,1,1,1,1,1,0,1,1,1,1,1,1,1,0,1,1,1,1,1,1,1,1,0,1,1,1,0,1,1,1,1,1,0,0,1,1,0,1,1,0,1,1,1,1,1,1,1,1,1,49 --65.3045,0.994536,0.751162,3,7,0,65.4229,1.25785,-0.398841,1,1,1,1,1,1,1,1,1,1,0,1,1,1,1,1,1,0,1,1,1,0,0,1,0,0,1,1,0,1,1,1,1,1,0,1,0,0,1,1,1,1,1,0,0,0,1,1,1,0,0,1,1,0,1,1,0,1,0,1,42 --65.7209,0.846474,0.751162,2,3,0,67.1437,1.13562,-0.32113,1,1,1,0,0,0,1,1,1,1,1,0,1,1,1,1,1,0,1,1,1,1,1,1,0,1,0,1,1,0,1,0,1,0,0,1,1,1,1,1,1,0,1,1,1,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1,45 --65.851,0.989394,0.751162,2,3,0,66.0776,1.24557,-0.234129,0,1,0,1,1,1,1,0,1,1,1,0,1,1,1,1,0,1,1,1,1,0,1,1,1,1,1,1,0,0,1,1,0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,0,1,1,1,0,1,1,1,0,1,1,1,1,47 --65.4339,0.848549,0.751162,1,3,0,67.6151,1.29996,-0.669992,1,1,1,1,1,1,1,1,1,0,1,1,0,0,1,0,1,1,0,1,1,1,1,1,1,1,1,1,1,1,1,1,0,0,1,0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0,1,1,1,0,1,1,1,1,49 --65.6872,0.878248,0.751162,2,7,0,66.4343,1.52524,-0.495263,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0,0,0,0,1,1,1,1,1,1,1,0,1,1,1,1,0,0,1,1,1,1,0,1,1,1,1,51 --66.5766,0.943992,0.751162,2,3,0,66.7977,1.52509,-0.903221,1,1,1,1,1,1,1,1,1,1,1,0,1,0,0,1,1,1,0,1,1,1,1,1,0,1,1,1,0,1,0,0,0,1,1,1,0,0,1,1,1,1,1,1,1,0,1,0,1,1,0,0,0,1,1,1,0,1,1,1,43 +# 0.0474631, 0.0503511 +-66.804395,0.85203645,0.82296842,2,3,0,68.17921,1.6535378,-0.8564028,0,1,1,1,1,1,1,1,1,1,1,1,0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0,0,1,1,0,1,1,1,1,0,1,1,1,1,0,0,1,1,1,0,0,1,1,0,1,1,1,0,1,1,1,1,47 +-66.691919,0.98203068,0.82296842,2,3,0,67.487346,1.5356016,-0.91977153,1,1,1,1,1,1,1,1,1,0,1,1,0,0,1,1,1,1,0,1,1,1,0,1,1,1,1,1,1,0,1,1,1,1,1,0,1,1,1,0,1,1,1,0,1,1,1,0,0,1,1,0,1,1,1,0,1,1,1,1,47 +-65.279977,1,0.82296842,2,3,0,66.713105,1.3597216,-0.43614622,1,1,0,1,1,1,1,0,1,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0,1,0,1,1,1,1,0,1,1,1,1,1,1,1,1,0,1,0,1,1,0,0,0,0,0,1,1,0,0,1,1,1,0,44 +-66.268912,0.84833484,0.82296842,1,3,0,66.449663,1.5270411,-0.2910817,1,1,1,0,1,1,1,1,1,0,0,1,1,1,1,1,0,1,0,1,1,1,1,1,1,0,0,1,1,0,0,1,1,1,1,1,0,1,1,1,1,1,0,1,1,1,0,1,1,1,1,0,1,1,1,1,1,0,1,0,45 +-65.644685,0.916798,0.82296842,1,3,0,67.552575,1.4936862,-0.67595403,1,1,1,1,1,1,1,1,0,0,1,1,1,0,1,1,1,0,1,1,1,0,1,1,0,1,1,1,1,0,1,1,0,1,1,1,0,0,1,1,1,1,1,0,1,0,0,0,1,0,1,1,1,1,1,0,1,1,0,1,43 +-65.662196,0.999363,0.82296842,3,7,0,65.712191,1.1560555,-0.3202967,1,1,1,0,1,1,1,1,1,1,1,1,0,0,0,1,0,0,1,0,1,1,1,0,0,1,0,1,1,0,0,0,1,1,1,0,1,1,0,1,1,0,1,1,1,1,1,1,1,1,0,0,0,1,1,1,1,1,0,1,40 +-65.55046,0.9943586,0.82296842,3,7,0,65.850646,1.4322754,-0.69565489,1,1,0,1,0,1,1,1,1,1,1,1,1,0,1,1,1,0,1,1,1,1,1,1,0,1,1,1,1,0,1,0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0,0,1,0,1,1,1,1,0,1,0,1,0,46 +-65.701186,0.97080164,0.82296842,2,7,0,66.119943,1.0908499,-0.47892795,0,1,1,1,1,1,1,1,1,1,1,1,1,1,0,1,1,1,1,1,1,1,1,1,0,1,0,1,0,0,1,0,1,1,1,1,0,1,1,1,1,1,1,1,0,1,0,0,1,0,1,1,1,0,1,0,1,1,1,1,46 +-66.160709,0.89505304,0.82296842,2,3,0,66.908211,1.1688057,-0.19332594,1,1,1,1,1,1,1,1,1,1,1,1,1,0,0,1,1,0,0,1,1,1,0,1,0,1,0,1,1,1,1,1,1,1,0,1,0,1,1,1,1,1,1,0,0,1,1,1,1,0,1,0,1,1,1,1,1,0,0,1,45 +-66.408952,0.99150347,0.82296842,3,7,0,66.641679,1.2877046,-0.13665122,0,1,1,0,1,1,1,1,1,1,1,0,1,1,1,1,1,0,1,0,0,1,1,1,1,0,1,1,1,1,1,1,0,1,1,1,1,1,1,1,1,1,1,1,1,0,0,1,0,1,1,1,1,1,1,0,0,1,1,1,47 +-66.501816,0.93947567,0.82296842,2,3,0,67.594612,1.1644733,-0.13740563,0,1,1,1,1,1,1,1,0,1,0,1,1,1,1,1,1,1,1,1,1,1,1,1,0,1,1,1,1,0,1,1,0,1,1,0,1,1,0,1,1,1,1,1,1,1,1,1,1,1,1,0,1,1,1,1,1,1,1,1,51 +-65.382067,0.99862628,0.82296842,2,3,0,66.579448,1.3613928,-0.65715036,0,1,1,1,1,1,0,1,1,0,1,1,1,0,1,1,1,0,1,1,1,1,0,0,1,1,1,0,1,1,0,1,1,1,1,0,0,1,1,1,1,1,0,0,1,1,0,1,1,1,1,0,1,1,0,0,1,1,1,1,43 +-65.904706,0.95877963,0.82296842,2,3,0,66.090823,1.5001491,-0.76562212,1,1,1,1,1,1,1,1,1,1,1,1,1,0,1,1,1,0,1,1,1,0,1,1,0,1,1,1,1,1,1,1,0,1,1,0,0,1,0,1,1,0,1,1,1,1,1,0,1,1,1,0,1,1,1,1,0,1,1,1,48 +-65.801081,0.97572507,0.82296842,2,3,0,66.320202,1.3137924,-0.77123153,0,1,1,0,1,1,1,1,1,0,1,1,0,0,1,1,0,0,1,1,1,1,1,1,0,0,1,1,1,0,1,0,0,0,1,1,0,1,1,1,1,0,1,1,1,1,1,1,0,1,1,0,1,1,1,1,1,0,1,0,41 +-65.940039,0.97356237,0.82296842,2,3,0,66.411128,1.4457689,-0.80144328,1,1,1,1,1,1,1,1,0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0,1,1,1,1,0,1,1,1,1,1,1,1,1,1,1,1,1,0,0,1,1,0,0,1,1,1,1,0,1,1,0,1,1,1,1,50 +-66.849875,0.92128567,0.82296842,2,3,0,66.961234,1.3319413,-0.94896691,1,1,1,1,1,1,1,1,1,0,1,1,1,0,1,1,1,0,1,1,1,1,1,1,1,1,1,1,0,0,1,1,1,1,1,1,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0,0,1,1,1,52 +-67.772149,0.81532634,0.82296842,1,1,0,67.934237,1.2121368,-1.0105152,1,1,1,0,1,1,1,1,1,0,1,1,1,0,0,1,1,0,1,1,1,1,1,1,0,1,1,1,0,0,1,1,0,1,1,1,0,0,0,1,1,0,1,1,1,1,1,0,1,1,1,0,0,1,1,1,1,0,1,1,43 +-66.381892,0.99126472,0.82296842,3,7,0,68.410114,1.4703991,-0.2150525,1,0,0,1,1,1,1,0,1,1,1,1,1,1,0,0,1,1,1,1,1,1,1,1,1,1,1,0,1,1,0,1,0,1,1,1,1,0,1,1,0,1,0,0,0,0,1,0,1,1,1,1,1,0,0,1,1,1,1,0,42 +-66.884894,0.97748272,0.82296842,2,7,0,67.556435,1.4086467,-0.96658577,1,1,1,0,1,1,1,1,1,0,1,1,1,0,1,1,1,1,1,1,1,0,1,1,0,1,1,1,0,1,1,0,1,1,1,1,1,0,1,1,0,0,1,0,0,0,0,0,1,1,1,0,1,1,1,1,1,1,1,1,44 +-67.60276,0.98795679,0.82296842,2,7,0,68.032277,1.1234899,-0.008173852,1,1,0,0,0,0,1,0,0,1,1,1,1,0,1,1,0,1,0,1,1,1,1,0,1,1,0,0,0,0,0,1,1,1,1,1,1,1,1,0,1,1,1,0,1,0,1,1,0,1,1,1,1,1,0,1,1,1,1,0,39 # -# Elapsed Time: 0.105 seconds (Warm-up) -# 0.002 seconds (Sampling) -# 0.107 seconds (Total) +# Elapsed Time: 0.038 seconds (Warm-up) +# 0.001 seconds (Sampling) +# 0.039 seconds (Total) # diff --git a/test/data/multidim_vars_config.json b/test/data/multidim_vars_config.json new file mode 100644 index 00000000..438d5004 --- /dev/null +++ b/test/data/multidim_vars_config.json @@ -0,0 +1,66 @@ + +{ + "stan_major_version" : "2", + "stan_minor_version" : "37", + "stan_patch_version" : "0", + "model_name" : "multidim_vars_model", + "start_datetime" : "2026-07-20 20:23:44 UTC", + "method" : { + "value" : "sample", + "sample" : { + "num_samples" : 20, + "num_warmup" : 1000, + "save_warmup" : false, + "thin" : 1, + "adapt" : { + "engaged" : true, + "gamma" : 0.05, + "delta" : 0.8, + "kappa" : 0.75, + "t0" : 10, + "init_buffer" : 75, + "term_buffer" : 50, + "window" : 25, + "save_metric" : true + }, + "algorithm" : { + "value" : "hmc", + "hmc" : { + "engine" : { + "value" : "nuts", + "nuts" : { + "max_depth" : 10 + } + }, + "metric" : { + "value" : "diag_e" + }, + "metric_file" : "", + "stepsize" : 1, + "stepsize_jitter" : 0 + } + }, + "num_chains" : 1 + } + }, + "id" : 1, + "data" : { + "file" : "test\/data\/logistic.data.R" + }, + "init" : "2", + "random" : { + "seed" : 12345 + }, + "output" : { + "file" : "\/tmp\/tmp0g6lwtky\/multidim_varswjejesho\/multidim_vars-20260720162344.csv", + "diagnostic_file" : "", + "refresh" : 100, + "sig_figs" : 8, + "profile_file" : "profile.csv", + "save_cmdstan_config" : true + }, + "num_threads" : 1, + "mpi_enabled" : false, + "stanc_version" : "stanc3 v2.37.0", + "stancflags" : "--filename-in-msg=multidim_vars.stan" +} diff --git a/test/data/multidim_vars_metric.json b/test/data/multidim_vars_metric.json new file mode 100644 index 00000000..114c2f12 --- /dev/null +++ b/test/data/multidim_vars_metric.json @@ -0,0 +1,6 @@ + +{ + "stepsize" : 0.82296842, + "metric_type" : "diag_e", + "inv_metric" : [ 0.04746309, 0.050351054 ] +} diff --git a/test/data/no_param_hmc_sample.csv b/test/data/no_param_hmc_sample.csv index 91999e46..fcd47d5b 100644 --- a/test/data/no_param_hmc_sample.csv +++ b/test/data/no_param_hmc_sample.csv @@ -1,8 +1,8 @@ # stan_version_major = 2 -# stan_version_minor = 35 +# stan_version_minor = 37 # stan_version_patch = 0 # model = datagen_poisson_glm_model -# start_datetime = 2024-12-02 14:45:12 UTC +# start_datetime = 2026-07-20 20:31:59 UTC # method = sample (Default) # sample # num_samples = 100 @@ -18,7 +18,7 @@ # init_buffer = 75 (Default) # term_buffer = 50 (Default) # window = 25 (Default) -# save_metric = false (Default) +# save_metric = true # algorithm = hmc (Default) # hmc # engine = nuts (Default) @@ -34,124 +34,124 @@ # file = (Default) # init = 2 (Default) # random -# seed = 2399056448 (Default) +# seed = 12345 # output -# file = no_param_hmc_sample.csv +# file = /tmp/tmprpkb7hyk/datagen_poisson_glmos06jl3d/datagen_poisson_glm-20260720163159.csv # diagnostic_file = (Default) # refresh = 100 (Default) -# sig_figs = -1 (Default) +# sig_figs = 8 (Default) # profile_file = profile.csv (Default) -# save_cmdstan_config = false (Default) +# save_cmdstan_config = true # num_threads = 1 (Default) -# stanc_version = %%NAME%%3 %%VERSION%% -# stancflags = +# stanc_version = stanc3 v2.37.0 +# stancflags = --filename-in-msg=datagen_poisson_glm.stan lp__,accept_stat__,stepsize__,treedepth__,n_leapfrog__,divergent__,energy__,N,y_sim.1,y_sim.2,y_sim.3,y_sim.4,y_sim.5,y_sim.6,y_sim.7,y_sim.8,y_sim.9,y_sim.10,y_sim.11,y_sim.12,y_sim.13,y_sim.14,y_sim.15,y_sim.16,y_sim.17,y_sim.18,y_sim.19,y_sim.20,x_sim.1,x_sim.2,x_sim.3,x_sim.4,x_sim.5,x_sim.6,x_sim.7,x_sim.8,x_sim.9,x_sim.10,x_sim.11,x_sim.12,x_sim.13,x_sim.14,x_sim.15,x_sim.16,x_sim.17,x_sim.18,x_sim.19,x_sim.20,pop_sim.1,pop_sim.2,pop_sim.3,pop_sim.4,pop_sim.5,pop_sim.6,pop_sim.7,pop_sim.8,pop_sim.9,pop_sim.10,pop_sim.11,pop_sim.12,pop_sim.13,pop_sim.14,pop_sim.15,pop_sim.16,pop_sim.17,pop_sim.18,pop_sim.19,pop_sim.20,alpha_sim,beta_sim,eta.1,eta.2,eta.3,eta.4,eta.5,eta.6,eta.7,eta.8,eta.9,eta.10,eta.11,eta.12,eta.13,eta.14,eta.15,eta.16,eta.17,eta.18,eta.19,eta.20 # Adaptation terminated # Step size = nan # Diagonal elements of inverse mass matrix: # -0,1,nan,1,1,0,0,20,6750,1423,3205,2667,1966,2508,1669,6584,5527,4653,1713,1633,7137,5913,5501,6521,3586,4828,6227,1643,0.0358751,0.3613,0.0568551,0.328804,0.551602,0.907548,0.986684,0.0930657,0.171859,0.110039,0.73272,0.4307,0.0434005,0.228586,0.520925,0.0700279,0.758075,0.507096,0.237532,0.668033,2247.9,540.034,1081.91,976.307,806.367,1137.97,796.464,2221.16,1913.15,1565.87,774.843,619.084,2367.8,2142.01,2192.39,2205.31,1545.16,1948.16,2211.37,670.302,1.11747,-0.370597,8.82193,7.27521,8.08288,7.87939,7.60559,7.81814,7.43199,8.78877,8.61029,8.43289,7.49859,7.3861,8.8711,8.70226,8.61717,8.79014,8.17941,8.50418,8.73081,7.37763 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100644 index 00000000..77dcee6f --- /dev/null +++ b/test/data/no_param_hmc_sample_config.json @@ -0,0 +1,66 @@ + +{ + "stan_major_version" : "2", + "stan_minor_version" : "37", + "stan_patch_version" : "0", + "model_name" : "datagen_poisson_glm_model", + "start_datetime" : "2026-07-20 20:31:59 UTC", + "method" : { + "value" : "sample", + "sample" : { + "num_samples" : 100, + "num_warmup" : 1000, + "save_warmup" : false, + "thin" : 1, + "adapt" : { + "engaged" : true, + "gamma" : 0.05, + "delta" : 0.8, + "kappa" : 0.75, + "t0" : 10, + "init_buffer" : 75, + "term_buffer" : 50, + "window" : 25, + "save_metric" : true + }, + "algorithm" : { + "value" : "hmc", + "hmc" : { + "engine" : { + "value" : "nuts", + "nuts" : { + "max_depth" : 10 + } + }, + "metric" : { + "value" : "diag_e" + }, + "metric_file" : "", + "stepsize" : 1, + "stepsize_jitter" : 0 + } + }, + "num_chains" : 1 + } + }, + "id" : 1, + "data" : { + "file" : "" + }, + "init" : "2", + "random" : { + "seed" : 12345 + }, + "output" : { + "file" : "\/tmp\/tmprpkb7hyk\/datagen_poisson_glmos06jl3d\/datagen_poisson_glm-20260720163159.csv", + "diagnostic_file" : "", + "refresh" : 100, + "sig_figs" : 8, + "profile_file" : "profile.csv", + "save_cmdstan_config" : true + }, + "num_threads" : 1, + "mpi_enabled" : false, + "stanc_version" : "stanc3 v2.37.0", + "stancflags" : "--filename-in-msg=datagen_poisson_glm.stan" +} diff --git a/test/data/no_param_hmc_sample_metric.json b/test/data/no_param_hmc_sample_metric.json new file mode 100644 index 00000000..6e8f6d58 --- /dev/null +++ b/test/data/no_param_hmc_sample_metric.json @@ -0,0 +1,6 @@ + +{ + "stepsize" : NaN, + "metric_type" : "diag_e", + "inv_metric" : [ ] +} diff --git a/test/data/output_bad_metric_1.csv b/test/data/output_bad_metric_1.csv deleted file mode 100644 index 833101bf..00000000 --- a/test/data/output_bad_metric_1.csv +++ /dev/null @@ -1,53 +0,0 @@ -# stan_version_major = 2 -# stan_version_minor = 19 -# stan_version_patch = 0 -# model = bernoulli_model -# method = sample (Default) -# sample -# num_samples = 10 -# num_warmup = 100 -# save_warmup = 0 (Default) -# thin = 1 (Default) -# adapt -# engaged = 1 (Default) -# gamma = 0.050000000000000003 (Default) -# delta = 0.80000000000000004 (Default) -# kappa = 0.75 (Default) -# t0 = 10 (Default) -# init_buffer = 75 (Default) -# term_buffer = 50 (Default) -# window = 25 (Default) -# algorithm = hmc (Default) -# hmc -# engine = nuts (Default) -# nuts -# max_depth = 10 (Default) -# metric = diag_e -# metric_file = (Default) -# stepsize = 1 (Default) -# stepsize_jitter = 0 (Default) -# id = 1 -# data -# file = examples/bernoulli/bernoulli.data.json -# init = 2 (Default) -# random -# seed = 123456 -# output -# file = output_1.csv -# diagnostic_file = (Default) -# refresh = 100 (Default) -lp__,accept_stat__,stepsize__,treedepth__,n_leapfrog__,divergent__,energy__,theta --6.76206,1,0.787025,1,1,0,6.81411,0.229458 --6.81411,0.983499,0.787025,1,1,0,6.8147,0.20649 --6.85511,0.994945,0.787025,2,3,0,6.85536,0.310589 --6.85511,0.812189,0.787025,1,1,0,7.16517,0.310589 --6.85511,0.310983,0.787025,1,1,0,8.35691,0.310589 --10.0407,0.245981,0.787025,1,1,0,10.0474,0.614551 --6.78719,1,0.787025,1,3,0,8.92907,0.21615 --7.58503,0.845748,0.787025,1,3,0,7.63531,0.115185 --8.08941,0.916692,0.787025,1,1,0,8.16887,0.0892886 -# -# Elapsed Time: 0.001332 seconds (Warm-up) -# 0.000249 seconds (Sampling) -# 0.001581 seconds (Total) -# diff --git a/test/data/output_bad_metric_2.csv b/test/data/output_bad_metric_2.csv deleted file mode 100644 index be05513a..00000000 --- a/test/data/output_bad_metric_2.csv +++ /dev/null @@ -1,57 +0,0 @@ -# stan_version_major = 2 -# stan_version_minor = 19 -# stan_version_patch = 0 -# model = bernoulli_model -# method = sample (Default) -# sample -# num_samples = 10 -# num_warmup = 100 -# save_warmup = 0 (Default) -# thin = 1 (Default) -# adapt -# engaged = 1 (Default) -# gamma = 0.050000000000000003 (Default) -# delta = 0.80000000000000004 (Default) -# kappa = 0.75 (Default) -# t0 = 10 (Default) -# init_buffer = 75 (Default) -# term_buffer = 50 (Default) -# window = 25 (Default) -# algorithm = hmc (Default) -# hmc -# engine = nuts (Default) -# nuts -# max_depth = 10 (Default) -# metric = diag_e -# metric_file = (Default) -# stepsize = 1 (Default) -# stepsize_jitter = 0 (Default) -# id = 1 -# data -# file = examples/bernoulli/bernoulli.data.json -# init = 2 (Default) -# random -# seed = 123456 -# output -# file = output_1.csv -# diagnostic_file = (Default) -# refresh = 100 (Default) -lp__,accept_stat__,stepsize__,treedepth__,n_leapfrog__,divergent__,energy__,theta -# Adaptation terminated -# Step size = not a number -# Diagonal elements of inverse mass matrix: -# 1 --6.76206,1,0.787025,1,1,0,6.81411,0.229458 --6.81411,0.983499,0.787025,1,1,0,6.8147,0.20649 --6.85511,0.994945,0.787025,2,3,0,6.85536,0.310589 --6.85511,0.812189,0.787025,1,1,0,7.16517,0.310589 --6.85511,0.310983,0.787025,1,1,0,8.35691,0.310589 --10.0407,0.245981,0.787025,1,1,0,10.0474,0.614551 --6.78719,1,0.787025,1,3,0,8.92907,0.21615 --7.58503,0.845748,0.787025,1,3,0,7.63531,0.115185 --8.08941,0.916692,0.787025,1,1,0,8.16887,0.0892886 -# -# Elapsed Time: 0.001332 seconds (Warm-up) -# 0.000249 seconds (Sampling) -# 0.001581 seconds (Total) -# diff --git a/test/data/output_bad_metric_3.csv b/test/data/output_bad_metric_3.csv deleted file mode 100644 index de2477da..00000000 --- a/test/data/output_bad_metric_3.csv +++ /dev/null @@ -1,59 +0,0 @@ -# stan_version_major = 2 -# stan_version_minor = 19 -# stan_version_patch = 0 -# model = bernoulli_model -# method = sample (Default) -# sample -# num_samples = 10 -# num_warmup = 100 -# save_warmup = 0 (Default) -# thin = 1 (Default) -# adapt -# engaged = 1 (Default) -# gamma = 0.050000000000000003 (Default) -# delta = 0.80000000000000004 (Default) -# kappa = 0.75 (Default) -# t0 = 10 (Default) -# init_buffer = 75 (Default) -# term_buffer = 50 (Default) -# window = 25 (Default) -# algorithm = hmc (Default) -# hmc -# engine = nuts (Default) -# nuts -# max_depth = 10 (Default) -# metric = diag_e -# metric_file = (Default) -# stepsize = 1 (Default) -# stepsize_jitter = 0 (Default) -# id = 1 -# data -# file = examples/bernoulli/bernoulli.data.json -# init = 2 (Default) -# random -# seed = 123456 -# output -# file = output_1.csv -# diagnostic_file = (Default) -# refresh = 100 (Default) -lp__,accept_stat__,stepsize__,treedepth__,n_leapfrog__,divergent__,energy__,theta -# Adaptation terminated -# Step size = 0.787025 -# Elements of inverse mass matrix: -# 1, 0, 0 -# 0, 2, 0 -# 1, 0, 1 --6.76206,1,0.787025,1,1,0,6.81411,0.229458 --6.81411,0.983499,0.787025,1,1,0,6.8147,0.20649 --6.85511,0.994945,0.787025,2,3,0,6.85536,0.310589 --6.85511,0.812189,0.787025,1,1,0,7.16517,0.310589 --6.85511,0.310983,0.787025,1,1,0,8.35691,0.310589 --10.0407,0.245981,0.787025,1,1,0,10.0474,0.614551 --6.78719,1,0.787025,1,3,0,8.92907,0.21615 --7.58503,0.845748,0.787025,1,3,0,7.63531,0.115185 --8.08941,0.916692,0.787025,1,1,0,8.16887,0.0892886 -# -# Elapsed Time: 0.001332 seconds (Warm-up) -# 0.000249 seconds (Sampling) -# 0.001581 seconds (Total) -# diff --git a/test/data/output_bad_metric_4.csv b/test/data/output_bad_metric_4.csv deleted file mode 100644 index 9f07e4c7..00000000 --- a/test/data/output_bad_metric_4.csv +++ /dev/null @@ -1,59 +0,0 @@ -# stan_version_major = 2 -# stan_version_minor = 19 -# stan_version_patch = 0 -# model = bernoulli_model -# method = sample (Default) -# sample -# num_samples = 10 -# num_warmup = 100 -# save_warmup = 0 (Default) -# thin = 1 (Default) -# adapt -# engaged = 1 (Default) -# gamma = 0.050000000000000003 (Default) -# delta = 0.80000000000000004 (Default) -# kappa = 0.75 (Default) -# t0 = 10 (Default) -# init_buffer = 75 (Default) -# term_buffer = 50 (Default) -# window = 25 (Default) -# algorithm = hmc (Default) -# hmc -# engine = nuts (Default) -# nuts -# max_depth = 10 (Default) -# metric = dense_e -# metric_file = (Default) -# stepsize = 1 (Default) -# stepsize_jitter = 0 (Default) -# id = 1 -# data -# file = examples/bernoulli/bernoulli.data.json -# init = 2 (Default) -# random -# seed = 123456 -# output -# file = output_1.csv -# diagnostic_file = (Default) -# refresh = 100 (Default) -lp__,accept_stat__,stepsize__,treedepth__,n_leapfrog__,divergent__,energy__,theta -# Adaptation terminated -# Step size = 0.787025 -# Elements of inverse mass matrix: -# 1, 0, 0 -# 0, 2, 0, 0 -# 1, 0, 1 --6.76206,1,0.787025,1,1,0,6.81411,0.229458 --6.81411,0.983499,0.787025,1,1,0,6.8147,0.20649 --6.85511,0.994945,0.787025,2,3,0,6.85536,0.310589 --6.85511,0.812189,0.787025,1,1,0,7.16517,0.310589 --6.85511,0.310983,0.787025,1,1,0,8.35691,0.310589 --10.0407,0.245981,0.787025,1,1,0,10.0474,0.614551 --6.78719,1,0.787025,1,3,0,8.92907,0.21615 --7.58503,0.845748,0.787025,1,3,0,7.63531,0.115185 --8.08941,0.916692,0.787025,1,1,0,8.16887,0.0892886 -# -# Elapsed Time: 0.001332 seconds (Warm-up) -# 0.000249 seconds (Sampling) -# 0.001581 seconds (Total) -# diff --git a/test/data/pathfinder/bernoulli-pathfinder.csv b/test/data/pathfinder/bernoulli-pathfinder.csv index ad5ccff2..d034041e 100644 --- a/test/data/pathfinder/bernoulli-pathfinder.csv +++ b/test/data/pathfinder/bernoulli-pathfinder.csv @@ -1,1039 +1,1044 @@ # stan_version_major = 2 -# stan_version_minor = 32 -# stan_version_patch = 2 +# stan_version_minor = 37 +# stan_version_patch = 0 # model = bernoulli_model -# start_datetime = 2023-08-25 18:20:52 UTC +# start_datetime = 2026-04-12 00:35:48 UTC # method = pathfinder # pathfinder # init_alpha = 0.001 (Default) -# tol_obj = 9.9999999999999998e-13 (Default) +# tol_obj = 1e-12 (Default) # tol_rel_obj = 10000 (Default) # tol_grad = 1e-08 (Default) -# tol_rel_grad = 10000000 (Default) +# tol_rel_grad = 1e+07 (Default) # tol_param = 1e-08 (Default) # history_size = 5 (Default) # num_psis_draws = 1000 (Default) # num_paths = 4 (Default) -# save_single_paths = 0 (Default) +# save_single_paths = false (Default) +# psis_resample = true (Default) +# calculate_lp = true (Default) # max_lbfgs_iters = 1000 (Default) # num_draws = 1000 (Default) # num_elbo_draws = 25 (Default) # id = 1 (Default) # data -# file = /home/brian/Dev/py/cmdstanpy/test/data/bernoulli.data.json +# file = test/data/bernoulli.data.json # init = 2 (Default) # random -# seed = 60096 +# seed = 12345 # output -# file = /tmp/tmpu_8pqsqm/bernoullix1z9yxm4/bernoulli-20230825142052.csv +# file = /tmp/tmpj7vksit8/bernoulli9hb1n4hj/bernoulli-20260411203548.csv # diagnostic_file = (Default) # refresh = 100 (Default) -# sig_figs = -1 (Default) +# sig_figs = 8 (Default) # profile_file = profile.csv (Default) +# save_cmdstan_config = true # num_threads = 1 (Default) -lp_approx__,lp__,theta --0.476551, -6.76206, 0.271327 --1.03168, -7.1987, 0.145419 --2.4285, -8.92516, 0.546197 --1.32207, -7.65466, 0.4371 --1.53739, -7.87901, 0.460369 --1.12454, -7.42633, 0.410357 --0.497944, -6.77806, 0.22023 --0.93635, -7.12896, 0.152721 --1.74264, -7.75439, 0.105291 --0.561756, -6.81822, 0.298664 --1.31969, -7.40828, 0.127362 --1.61855, -7.94818, 0.467076 --0.853618, -7.06293, 0.160499 --0.516076, -6.77093, 0.223904 --1.25333, -7.56654, 0.427208 --0.626345, -6.86948, 0.192008 --0.566813, -6.81689, 0.205629 --1.81711, -7.80861, 0.102414 --0.485188, -6.75037, 0.241505 --1.48451, -7.55049, 0.117398 --1.49785, -7.81761, 0.454244 --0.597054, -6.84943, 0.196709 --0.524347, -6.76562, 0.273927 --0.589162, -6.87127, 0.315193 --0.508892, -6.76518, 0.273615 --0.526366, -6.76768, 0.275313 --1.2809, -7.58501, 0.429321 --0.515714, -6.79968, 0.291537 --1.08516, -7.37888, 0.404289 --0.720885, -6.98905, 0.342663 --1.21042, -7.51517, 0.421205 --0.603394, -6.8608, 0.312244 --0.912615, -7.19824, 0.378964 --1.8676, -7.81361, 0.102155 --0.737547, -6.99206, 0.343271 --0.511134, -6.77588, 0.280252 --0.510004, -6.75108, 0.240313 --0.493452, -6.75001, 0.257941 --0.636148, -6.86832, 0.192268 --0.554036, -6.83687, 0.304983 --0.914616, -7.1106, 0.154789 --0.561853, -6.80424, 0.293389 --0.543132, -6.78486, 0.284908 --1.35137, -7.43078, 0.125683 --0.470003, -6.75434, 0.236132 --0.482583, -6.74804, 0.250683 --0.511373, -6.75251, 0.261965 --0.615103, -6.87287, 0.315632 --1.48451, -7.55049, 0.117398 --0.547459, -6.80618, 0.209068 --0.72476, -6.94711, 0.17715 --1.09627, -7.25885, 0.139717 --0.638048, -6.8846, 0.188752 --0.484429, -6.74986, 0.25763 --0.476269, -6.75965, 0.231266 --0.673947, -6.91074, 0.183582 --1.05347, -7.22239, 0.143114 --0.688123, -6.92693, 0.180622 --0.721566, -6.9443, 0.177619 --1.15416, -7.46034, 0.414585 --0.524232, -6.77841, 0.220062 --0.533364, -6.81676, 0.298138 --0.619038, -6.88407, 0.318644 --5.77772, -10.1268, 0.0384689 --0.543383, -6.79582, 0.212741 --0.595615, -6.83146, 0.201396 --1.52209, -7.57032, 0.116119 --1.11984, -7.41443, 0.408855 --0.48601, -6.77112, 0.277488 --0.500169, -6.76399, 0.22812 --0.564116, -6.84671, 0.308068 --0.93441, -7.21309, 0.381206 --0.59264, -6.82873, 0.202156 --4.27749, -9.21226, 0.0549588 --1.06407, -7.35554, 0.401227 --0.577253, -6.834, 0.304055 --0.535559, -6.80001, 0.291671 --0.983256, -7.16663, 0.148675 --0.483092, -6.74847, 0.246288 --0.937678, -7.22416, 0.382855 --0.48508, -6.75027, 0.241684 --1.5953, -7.95495, 0.467722 --0.788202, -7.00747, 0.167888 --0.911056, -7.19663, 0.378719 --2.8102, -9.26521, 0.568921 --0.463059, -6.74899, 0.255523 --1.7566, -8.14059, 0.484777 --0.598541, -6.85072, 0.196393 --0.985094, -7.2675, 0.389149 --0.616662, -6.86631, 0.19272 --0.868349, -7.14437, 0.370533 --2.75506, -8.45281, 0.0756527 --1.69102, -7.7004, 0.108287 --1.06603, -7.23048, 0.142345 --0.816516, -7.03524, 0.164075 --0.992746, -7.17345, 0.147969 --0.466377, -6.75228, 0.261646 --0.635039, -6.88203, 0.189289 --1.19915, -7.33221, 0.133367 --1.11937, -7.27746, 0.138048 --2.15059, -8.53127, 0.517193 --0.926578, -7.20155, 0.379467 --1.12208, -7.27618, 0.138161 --0.654639, -6.92051, 0.32772 --0.600609, -6.86346, 0.19337 --0.675617, -6.91218, 0.183313 --0.749676, -6.96888, 0.173633 --4.27749, -9.21226, 0.0549588 --0.586314, -6.85174, 0.196142 --1.3103, -7.41547, 0.126821 --0.954169, -7.14257, 0.151229 --0.534988, -6.77649, 0.280587 --0.644452, -6.89911, 0.185817 --1.06961, -7.23511, 0.14191 --0.557442, -6.81384, 0.29707 --1.09875, -7.39395, 0.406239 --0.729041, -6.95776, 0.175402 --0.740701, -7.0225, 0.349236 --0.641459, -6.87311, 0.191207 --0.696773, -6.93031, 0.180025 --0.49457, -6.75891, 0.231863 --0.635866, -6.90126, 0.323048 --0.644235, -6.87561, 0.190662 --0.550628, -6.78976, 0.215093 --3.69897, -8.9643, 0.0608185 --1.01412, -7.1856, 0.146729 --1.48817, -7.565, 0.116459 --1.7993, -7.76635, 0.104646 --0.698811, -6.9602, 0.336649 --0.686703, -6.92169, 0.181562 --3.31541, -8.76493, 0.0661085 --0.524232, -6.77841, 0.220062 --0.6204, -6.85407, 0.195579 --0.664773, -6.90727, 0.184239 --0.561638, -6.80006, 0.211191 --1.5482, -7.87199, 0.459677 --0.502082, -6.75798, 0.232638 --0.668035, -6.90565, 0.184548 --0.720358, -6.97333, 0.33943 --2.31182, -8.76251, 0.534606 --0.540925, -6.79716, 0.290478 --1.31708, -7.43372, 0.125468 --0.51659, -6.75776, 0.267709 --1.54662, -7.91801, 0.464175 --0.534151, -6.78745, 0.216041 --0.483741, -6.74905, 0.244357 --0.579635, -6.84625, 0.197503 --0.762851, -6.99336, 0.169923 --0.504648, -6.76037, 0.230708 --0.662141, -6.9104, 0.325298 --0.579328, -6.81647, 0.205757 --0.518412, -6.77307, 0.22274 --4.3007, -9.39725, 0.0510335 --0.48609, -6.75147, 0.260477 --0.482703, -6.74817, 0.252126 --0.655405, -6.9213, 0.327906 --0.484876, -6.75029, 0.25849 --2.50067, -8.2531, 0.0827528 --0.737547, -6.99206, 0.343271 --0.679143, -6.91521, 0.182749 --1.52767, -7.89565, 0.462001 --0.758427, -7.02826, 0.350331 --0.491842, -6.74844, 0.253629 --0.984875, -7.26927, 0.389401 --1.0793, -7.37456, 0.403727 --0.498706, -6.76372, 0.272576 --0.88251, -7.1672, 0.374166 --0.916666, -7.11215, 0.154611 --1.27527, -7.57901, 0.428637 --0.504361, -6.7607, 0.270251 --0.514673, -6.77936, 0.28213 --0.491842, -6.74844, 0.253629 --1.14149, -7.27974, 0.137847 --7.32737, -10.8822, 0.0290424 --0.482574, -6.74802, 0.250171 --2.82118, -9.45552, 0.58085 --0.55033, -6.78949, 0.215206 --0.546924, -6.8057, 0.209228 --1.85995, -8.24408, 0.493782 --1.44717, -7.76302, 0.448651 --2.97469, -8.59483, 0.0710988 --0.49457, -6.75891, 0.231863 --0.464446, -6.75038, 0.258657 --1.35756, -7.45043, 0.124251 --0.580172, -6.83698, 0.305019 --0.483292, -6.74865, 0.245604 --0.515714, -6.79968, 0.291537 --3.56948, -8.91715, 0.0620196 --0.53011, -6.7715, 0.277715 --0.592377, -6.857, 0.311141 --0.541998, -6.82515, 0.301093 --0.998687, -7.17406, 0.147906 --2.68293, -8.37102, 0.0784552 --1.27952, -7.37961, 0.129563 --0.536132, -6.77767, 0.281226 --0.490585, -6.77551, 0.280042 --0.46224, -6.74805, 0.250978 --1.33761, -7.44117, 0.124923 --0.911113, -7.18772, 0.377355 --0.50848, -6.74959, 0.24304 --0.613657, -6.86373, 0.193307 --0.515405, -6.79279, 0.213895 --0.636148, -6.86832, 0.192268 --1.14179, -7.29545, 0.136474 --1.38065, -7.71021, 0.443101 --2.66315, -8.39248, 0.0777063 --0.644452, -6.89911, 0.185817 --0.51127, -6.78931, 0.215276 --0.567676, -6.83209, 0.303428 --0.581574, -6.82484, 0.300987 --2.01155, -8.41724, 0.508156 --0.536151, -6.77768, 0.281237 --0.486847, -6.75188, 0.23913 --0.53082, -6.79531, 0.289686 --0.789836, -7.00367, 0.168428 --0.665532, -6.91404, 0.326179 --0.760107, -7.03002, 0.350663 --0.808746, -7.02456, 0.165513 --1.0461, -7.20943, 0.144365 --2.63301, -8.27172, 0.0820527 --1.05471, -7.34518, 0.399851 --3.9779, -9.12395, 0.0569619 --0.70141, -6.94479, 0.177537 --0.60206, -6.86465, 0.193098 --2.15609, -8.04921, 0.0910074 --0.604035, -6.84991, 0.196591 --0.53925, -6.77906, 0.219753 --0.932342, -7.20803, 0.380446 --1.28145, -7.5856, 0.429388 --1.00417, -7.1824, 0.147054 --1.98629, -7.86254, 0.0996736 --0.527551, -6.79207, 0.288263 --0.909871, -7.10563, 0.15536 --2.48582, -8.24339, 0.0831209 --1.1631, -7.46005, 0.414549 --0.506979, -6.74812, 0.251783 --7.32737, -10.8822, 0.0290424 --0.720159, -6.95969, 0.175091 --1.68952, -7.66497, 0.110331 --1.66739, -7.69907, 0.108363 --2.97469, -8.59483, 0.0710988 --0.654913, -6.90264, 0.323393 --2.40468, -8.21981, 0.0840255 --2.48615, -8.24361, 0.0831128 --0.515211, -6.75612, 0.234317 --1.45402, -7.52106, 0.119342 --0.503876, -6.78827, 0.286532 --1.53718, -7.58117, 0.115429 --1.12622, -7.26856, 0.138842 --1.56032, -7.57672, 0.115711 --1.33831, -7.65658, 0.437311 --0.676618, -6.92597, 0.329001 --0.860883, -7.14496, 0.370628 --0.483174, -6.74864, 0.254396 --0.977282, -7.15799, 0.14958 --1.52053, -7.86008, 0.458498 --0.659324, -6.94078, 0.332385 --0.718275, -6.98073, 0.340965 --1.0205, -7.30777, 0.394783 --1.7566, -8.14059, 0.484777 --0.751488, -6.97671, 0.17242 --0.608379, -6.86981, 0.191934 --0.491929, -6.74849, 0.246191 --3.28997, -8.72374, 0.0672741 --0.488313, -6.75322, 0.237407 --0.987015, -7.26967, 0.389458 --0.948504, -7.23537, 0.384508 --0.508056, -6.74919, 0.256084 --0.698604, -6.95998, 0.336602 --0.93063, -7.20897, 0.380587 --0.487847, -6.75279, 0.237927 --0.793912, -7.06554, 0.357176 --0.553977, -6.81033, 0.295756 --0.532686, -6.79716, 0.290478 --0.509879, -6.79405, 0.289141 --1.40984, -7.7229, 0.444447 --0.539861, -6.82307, 0.300376 --2.83267, -8.39291, 0.0776913 --2.04207, -7.94632, 0.0956361 --4.3182, -9.31427, 0.0527507 --1.63944, -8.00561, 0.4725 --0.491576, -6.74816, 0.247927 --0.507515, -6.74866, 0.254467 --0.839567, -7.05308, 0.161747 --0.919495, -7.11533, 0.154249 --0.946466, -7.13711, 0.151823 --0.598024, -6.85528, 0.310637 --0.658482, -6.90647, 0.324339 --1.54416, -7.88662, 0.461116 --0.95555, -7.23618, 0.384627 --0.495093, -6.77564, 0.221417 --0.513197, -6.79094, 0.214625 --4.37053, -9.34312, 0.0521459 --1.4869, -7.84764, 0.45726 --0.525514, -6.77958, 0.219507 --0.52013, -6.76086, 0.230337 --1.08516, -7.37888, 0.404289 --3.36444, -10.1208, 0.618855 --0.462555, -6.7482, 0.247675 --2.24011, -8.74832, 0.53357 --0.693746, -6.93868, 0.178573 --1.30376, -7.41061, 0.127186 --0.542003, -6.79824, 0.290937 --0.554032, -6.79295, 0.213833 --0.679828, -6.96126, 0.336877 --1.00615, -7.29134, 0.392508 --0.474323, -6.758, 0.232626 --2.60737, -9.03862, 0.553995 --0.646971, -6.90592, 0.324203 --0.995593, -7.28084, 0.391037 --1.59523, -7.64549, 0.111481 --1.12208, -7.27618, 0.138161 --1.67702, -7.70618, 0.10796 --0.670689, -6.8993, 0.18578 --0.618613, -6.8765, 0.316621 --0.504797, -6.76051, 0.230602 --0.994996, -7.17631, 0.147675 --0.906863, -7.17944, 0.376077 --1.89755, -7.80418, 0.102645 --0.499825, -6.75624, 0.266253 --0.463059, -6.74857, 0.245871 --0.497944, -6.77806, 0.22023 --0.6204, -6.85407, 0.195579 --0.512804, -6.75395, 0.263767 --0.613657, -6.86373, 0.193307 --0.495248, -6.75176, 0.260918 --0.65032, -6.89503, 0.186624 --0.615292, -6.87307, 0.315686 --0.994119, -7.27925, 0.390813 --1.03219, -7.19908, 0.145381 --1.16016, -7.46723, 0.41543 --0.654301, -6.89841, 0.185955 --0.644158, -6.89887, 0.185864 --0.839567, -7.05308, 0.161747 --1.08786, -7.38187, 0.404679 --0.585037, -6.84958, 0.308938 --0.530688, -6.81417, 0.297189 --0.921481, -7.11535, 0.154248 --0.545197, -6.82826, 0.302151 --0.516547, -6.77276, 0.278469 --0.525965, -6.80166, 0.210621 --0.595714, -6.83155, 0.201371 --0.759309, -7.01586, 0.347962 --0.718275, -6.98073, 0.340965 --1.1366, -7.43208, 0.41108 --0.761187, -7.03115, 0.350876 --1.01439, -7.19145, 0.146142 --1.25572, -7.57758, 0.428473 --0.679538, -6.91555, 0.182686 --0.535614, -6.80006, 0.291694 --0.491464, -6.74806, 0.248944 --0.79807, -7.08071, 0.359856 --1.21303, -7.33177, 0.133404 --0.497187, -6.75366, 0.263428 --0.611718, -6.85667, 0.194956 --0.491772, -6.75637, 0.234088 --0.497511, -6.75398, 0.263805 --0.604751, -6.85607, 0.195098 --0.665508, -6.92526, 0.328835 --0.569441, -6.82604, 0.301397 --0.968838, -7.15509, 0.149888 --0.61717, -6.85113, 0.196291 --0.485244, -6.76728, 0.226018 --0.750968, -7.02045, 0.348844 --0.729162, -6.95097, 0.17651 --0.513526, -6.79757, 0.290653 --0.611372, -6.89317, 0.321005 --0.49703, -6.76209, 0.271349 --0.495126, -6.77567, 0.221402 --2.25096, -8.71647, 0.53123 --0.764772, -6.98787, 0.170734 --0.594514, -6.84724, 0.197255 --1.83626, -8.18547, 0.488723 --0.532551, -6.78874, 0.28675 --0.507605, -6.77242, 0.278267 --0.518671, -6.75986, 0.269557 --0.46225, -6.74802, 0.250035 --0.868118, -7.0735, 0.159187 --0.501239, -6.7662, 0.274321 --0.66792, -6.89683, 0.186267 --2.32918, -8.14014, 0.0871861 --0.627899, -6.8857, 0.188522 --0.506739, -6.77157, 0.27776 --1.41469, -7.74162, 0.44642 --2.15357, -7.97102, 0.0944935 --7.32737, -10.8822, 0.0290424 --5.55354, -10.0119, 0.0401856 --1.20438, -7.33987, 0.132737 --0.496515, -6.753, 0.262612 --0.51797, -6.75878, 0.231968 --0.573819, -6.83827, 0.30543 --1.24207, -7.55391, 0.425748 --1.17274, -7.31549, 0.134762 --0.640798, -6.88754, 0.319552 --1.45799, -7.77466, 0.449856 --0.522646, -6.79888, 0.211614 --1.27825, -7.59002, 0.429891 --0.949924, -7.23163, 0.383959 --0.635131, -6.90051, 0.322861 --0.657087, -6.92303, 0.328313 --0.903186, -7.10189, 0.155794 --0.948504, -7.23537, 0.384508 --0.809639, -7.02732, 0.165138 --2.20201, -8.70222, 0.530177 --0.792511, -7.01657, 0.166612 --1.85995, -8.24408, 0.493782 --0.621293, -6.88034, 0.189648 --0.564293, -6.80253, 0.210317 --0.587277, -6.83082, 0.303009 --2.25096, -8.71647, 0.53123 --0.553607, -6.80504, 0.209451 --0.641756, -6.87337, 0.191148 --0.952757, -7.23313, 0.384179 --0.591705, -6.85632, 0.310942 --0.494434, -6.75957, 0.269306 --0.555207, -6.81158, 0.296226 --0.767788, -6.99309, 0.169963 --4.43783, -9.47559, 0.0494739 --1.2903, -7.59502, 0.430458 --0.724092, -6.94652, 0.177248 --4.33534, -9.35797, 0.0518379 --0.519944, -6.76115, 0.270612 --0.501946, -6.78642, 0.285656 --1.07473, -7.36934, 0.403045 --1.78274, -7.76569, 0.104681 --1.35572, -7.45477, 0.123939 --0.498183, -6.75464, 0.264556 --1.39091, -7.45872, 0.123656 --2.27444, -8.0482, 0.0910512 --0.999881, -7.1799, 0.147308 --1.89755, -7.80418, 0.102645 --0.518607, -6.7598, 0.269503 --0.954169, -7.14257, 0.151229 --0.677429, -6.9053, 0.184615 --1.28772, -7.38547, 0.129106 --0.538065, -6.79428, 0.28924 --0.514102, -6.75505, 0.235376 --1.07361, -7.22982, 0.142408 --1.98629, -7.86254, 0.0996736 --0.934812, -7.12647, 0.152997 --1.17589, -7.30483, 0.135667 --0.508743, -6.79296, 0.28866 --1.72671, -7.7259, 0.106855 --1.35325, -7.46175, 0.12344 --0.510451, -6.75151, 0.239653 --0.485259, -6.75067, 0.259163 --1.2459, -7.37805, 0.129684 --0.593782, -6.85787, 0.194671 --0.510004, -6.75108, 0.240313 --0.782098, -7.00483, 0.168263 --0.598118, -6.85537, 0.310666 --0.512671, -6.79049, 0.214801 --0.493605, -6.77841, 0.281623 --0.748394, -6.96777, 0.173808 --1.11486, -7.26022, 0.139593 --1.66119, -7.69449, 0.108624 --0.491438, -6.75606, 0.234376 --1.75994, -7.76703, 0.104609 --0.463688, -6.74963, 0.257129 --0.880292, -7.1571, 0.372569 --1.11486, -7.26022, 0.139593 --1.49377, -7.55731, 0.116955 --2.16434, -8.05495, 0.0907591 --0.720892, -6.95085, 0.17653 --0.933134, -7.2117, 0.380997 --0.637934, -6.8845, 0.188772 --0.735049, -6.96284, 0.174587 --0.894794, -7.16593, 0.373967 --1.63228, -7.96309, 0.468497 --1.30505, -7.39785, 0.128154 --0.543556, -6.79981, 0.291589 --0.819196, -7.09223, 0.361852 --1.23735, -7.54485, 0.424695 --4.43783, -9.47559, 0.0494739 --0.764728, -7.0218, 0.349103 --0.521536, -6.78318, 0.217868 --0.521238, -6.77743, 0.281101 --0.60979, -6.87096, 0.191679 --0.517594, -6.78224, 0.283608 --2.67858, -8.29958, 0.0810207 --0.510071, -6.75121, 0.260061 --0.463853, -6.7492, 0.243961 --1.87409, -7.84974, 0.100314 --0.540443, -6.79998, 0.211218 --1.39091, -7.45872, 0.123656 --0.528726, -6.76908, 0.224953 --0.509511, -6.7506, 0.2411 --0.513784, -6.75493, 0.264883 --1.47638, -7.55606, 0.117036 --1.34536, -7.44143, 0.124904 --1.13461, -7.43379, 0.411293 --0.550773, -6.7899, 0.215038 --1.37239, -7.47653, 0.122395 --0.49409, -6.75063, 0.259107 --3.29022, -8.74966, 0.0665374 --0.522464, -6.78704, 0.285952 --0.749323, -6.96858, 0.173681 --0.987197, -7.27085, 0.389625 --0.482985, -6.74837, 0.246709 --0.533255, -6.81666, 0.2981 --2.21661, -8.0493, 0.0910036 --0.955023, -7.2356, 0.384542 --0.577876, -6.86019, 0.312068 --0.515739, -6.778, 0.220256 --0.494037, -6.75918, 0.268976 --1.27218, -7.37435, 0.129974 --0.927268, -7.20531, 0.380035 --4.38523, -9.44563, 0.0500635 --3.35852, -8.83627, 0.0641505 --0.492148, -6.74869, 0.245435 --0.467602, -6.75346, 0.26319 --2.52031, -8.29762, 0.0810925 --0.673701, -6.90198, 0.185256 --0.497406, -6.75387, 0.263683 --0.471462, -6.75718, 0.267169 --0.53579, -6.79199, 0.28823 --0.763713, -6.98698, 0.170867 --0.498626, -6.75507, 0.265032 --0.713737, -6.96614, 0.337915 --1.11662, -7.27193, 0.13854 --2.67865, -8.29962, 0.0810191 --0.51126, -6.7524, 0.261812 --0.68876, -6.9557, 0.335677 --0.497944, -6.77806, 0.22023 --4.3007, -9.39725, 0.0510335 --0.513563, -6.75471, 0.264638 --0.513489, -6.76973, 0.276627 --0.586105, -6.83407, 0.200682 --1.45131, -7.51909, 0.119474 --0.468008, -6.75265, 0.238101 --0.720358, -6.97333, 0.33943 --0.485087, -6.76715, 0.226099 --1.05253, -7.22339, 0.143019 --0.668628, -6.90616, 0.18445 --0.919495, -7.11533, 0.154249 --0.491526, -6.74813, 0.251834 --1.98189, -7.85966, 0.0998172 --0.47524, -6.76081, 0.270335 --3.2524, -8.77034, 0.0659573 --0.491526, -6.74811, 0.248303 --0.679828, -6.96126, 0.336877 --0.932829, -7.20858, 0.380528 --0.907268, -7.105, 0.155433 --0.66485, -6.89409, 0.186814 --2.22929, -8.69105, 0.529347 --0.485188, -6.75037, 0.241505 --1.49004, -7.52809, 0.118872 --3.28997, -8.72374, 0.0672741 --1.62236, -7.65103, 0.111152 --0.535191, -6.80939, 0.208003 --0.78136, -7.00786, 0.167832 --0.696773, -6.93031, 0.180025 --2.48615, -8.24361, 0.0831128 --2.51515, -8.26254, 0.0823966 --1.17767, -7.4818, 0.417203 --1.80656, -8.19836, 0.489845 --0.559243, -6.81011, 0.207768 --1.01656, -7.18743, 0.146545 --1.43296, -7.51239, 0.119925 --0.87653, -7.08038, 0.158348 --0.536105, -6.77764, 0.281211 --1.34243, -7.44479, 0.124659 --0.698604, -6.95998, 0.336602 --0.599731, -6.84612, 0.197536 --2.8102, -9.26521, 0.568921 --1.92702, -7.88769, 0.0984345 --0.888822, -7.15925, 0.372912 --0.462937, -6.74886, 0.255145 --1.0793, -7.37456, 0.403727 --0.561279, -6.81193, 0.20718 --0.739703, -6.99441, 0.343744 --0.518824, -6.79567, 0.212798 --0.638168, -6.91972, 0.327533 --3.54488, -8.90255, 0.0623976 --0.594279, -6.85892, 0.311701 --0.679075, -6.96051, 0.336715 --0.482687, -6.74811, 0.248353 --0.7967, -7.06419, 0.356934 --0.744694, -7.01389, 0.347581 --0.513598, -6.75457, 0.235885 --1.03212, -7.32036, 0.396506 --2.68293, -8.37102, 0.0784552 --1.03708, -7.2108, 0.144232 --1.03212, -7.32036, 0.396506 --0.500479, -6.76545, 0.27381 --1.10826, -7.4045, 0.407592 --0.483261, -6.74872, 0.254692 --0.497787, -6.76283, 0.271911 --0.511649, -6.75279, 0.262332 --0.698715, -6.92418, 0.181114 --0.527339, -6.76867, 0.275957 --1.63428, -7.65051, 0.111183 --0.483741, -6.74905, 0.244357 --4.27749, -9.21226, 0.0549588 --1.52424, -7.89161, 0.461606 --1.31708, -7.43372, 0.125468 --2.18009, -8.04026, 0.0913965 --2.72572, -9.17077, 0.562799 --4.43783, -9.47559, 0.0494739 --0.74295, -7.00687, 0.346214 --1.66119, -7.69449, 0.108624 --0.512657, -6.75365, 0.236892 --0.465922, -6.7509, 0.24059 --0.579829, -6.86211, 0.312618 --0.503725, -6.76863, 0.275927 --0.714436, -6.9669, 0.338076 --0.603956, -6.86873, 0.314488 --0.518824, -6.79567, 0.212798 --1.3567, -7.66594, 0.438332 --0.490577, -6.7755, 0.280037 --0.464172, -6.75011, 0.258141 --1.05433, -7.22486, 0.142879 --0.86442, -7.06736, 0.159946 --4.49779, -9.4483, 0.0500106 --2.82118, -9.45552, 0.58085 --4.40084, -9.35979, 0.0518004 --3.15312, -9.78286, 0.600215 --1.65214, -7.98466, 0.470536 --0.51773, -6.77245, 0.223074 --1.1922, -7.49082, 0.418293 --0.824186, -7.08734, 0.361008 --1.72671, -7.7259, 0.106855 --0.75653, -6.97485, 0.172706 --0.629168, -6.87195, 0.191462 --0.633933, -6.8761, 0.190555 --0.55033, -6.78949, 0.215206 --0.583585, -6.84047, 0.30613 --3.69897, -8.9643, 0.0608185 --0.648358, -6.90736, 0.324558 --0.507378, -6.74852, 0.253959 --0.621651, -6.87059, 0.191762 --0.466184, -6.75112, 0.240243 --3.67087, -10.3984, 0.633254 --0.629682, -6.87569, 0.3164 --0.518321, -6.75912, 0.231692 --0.708983, -6.97667, 0.340125 --0.49144, -6.74804, 0.249339 --0.823052, -7.03642, 0.163919 --1.30148, -7.62073, 0.433348 --0.793912, -7.06554, 0.357176 --0.554418, -6.8188, 0.298871 --3.55808, -8.91039, 0.0621943 --0.926626, -7.21272, 0.38115 --0.467847, -6.7537, 0.263477 --0.546151, -6.78797, 0.286392 --1.8676, -7.81361, 0.102155 --0.668714, -6.91746, 0.326997 --0.482707, -6.74813, 0.248193 --0.562962, -6.84559, 0.307722 --0.512697, -6.75369, 0.236848 --0.819507, -7.02915, 0.164891 --0.980291, -7.16368, 0.148982 --0.491646, -6.74825, 0.252663 --1.72838, -7.69124, 0.10881 --0.507391, -6.76369, 0.272552 --3.70366, -8.99628, 0.0600206 --0.653194, -6.89747, 0.18614 --0.594279, -6.85892, 0.311701 --0.659713, -6.88949, 0.187742 --1.08396, -7.2489, 0.140627 --0.471622, -6.75571, 0.234721 --0.507449, -6.74859, 0.25423 --0.812757, -7.03232, 0.164465 --1.1636, -7.46057, 0.414613 --1.07894, -7.37199, 0.403392 --1.2631, -7.57327, 0.42798 --0.522429, -6.80617, 0.29415 --0.469929, -6.75571, 0.265709 --0.775816, -7.05808, 0.355836 --0.462632, -6.74854, 0.254027 --0.510451, -6.77326, 0.222644 --0.525965, -6.80166, 0.210621 --0.638168, -6.91972, 0.327533 --0.51202, -6.78994, 0.215021 --0.658737, -6.88862, 0.187921 --0.511134, -6.77588, 0.280252 --0.758553, -6.98549, 0.17109 --0.508227, -6.74936, 0.256513 --0.674024, -6.93417, 0.330891 --0.501889, -6.75827, 0.268175 --0.809358, -7.02507, 0.165444 --1.52053, -7.86008, 0.458498 --1.41552, -7.49944, 0.120807 --1.04239, -7.33158, 0.398026 --1.05253, -7.22339, 0.143019 --1.52863, -7.85083, 0.457579 --1.31047, -7.61654, 0.432879 --0.646971, -6.90592, 0.324203 --0.49144, -6.74804, 0.249339 --0.916047, -7.1108, 0.154766 --1.35572, -7.45477, 0.123939 --0.483783, -6.76899, 0.27616 --0.838751, -7.11293, 0.365367 --0.626504, -6.8596, 0.194265 --0.598541, -6.85072, 0.196393 --1.10702, -7.40183, 0.407251 --3.56948, -8.91715, 0.0620196 --0.547475, -6.80376, 0.293197 --0.959965, -7.24243, 0.38554 --0.493179, -6.77402, 0.222245 --0.622435, -6.86798, 0.314278 --0.508877, -6.74998, 0.242232 --0.932829, -7.20858, 0.380528 --0.855113, -7.1303, 0.368244 --4.38523, -9.44563, 0.0500635 --1.23388, -7.36249, 0.130912 --0.512176, -6.75331, 0.263005 --1.34685, -7.44811, 0.124419 --1.31047, -7.61654, 0.432879 --1.68709, -8.02267, 0.474087 --1.3984, -7.46399, 0.12328 --0.589538, -6.84293, 0.198346 --2.23951, -8.08026, 0.0896753 --0.500005, -6.76384, 0.22822 --1.02073, -7.19054, 0.146232 --0.731705, -6.98569, 0.34198 --0.930609, -7.12448, 0.153219 --0.687322, -6.92626, 0.180742 --1.89535, -8.28444, 0.497207 --0.540269, -6.7965, 0.290197 --1.24478, -7.5649, 0.427019 --0.743087, -6.97782, 0.172251 --0.489786, -6.75505, 0.265014 --0.672115, -6.92138, 0.181619 --2.48582, -8.24339, 0.0831209 --0.794195, -7.0615, 0.356454 --0.495791, -6.7805, 0.282724 --0.519128, -6.7599, 0.231074 --0.515357, -6.75652, 0.266523 --0.707396, -6.93184, 0.179757 --3.25349, -8.77102, 0.0659383 --0.525646, -6.76614, 0.226724 --0.491526, -6.74813, 0.251834 --0.526572, -6.76702, 0.226176 --1.35815, -7.45087, 0.124219 --0.86544, -7.07301, 0.159248 --0.48281, -6.74827, 0.252817 --0.6204, -6.85407, 0.195579 --0.554418, -6.8188, 0.298871 --0.46561, -6.75064, 0.241021 --0.517412, -6.77362, 0.27897 --0.612096, -6.86239, 0.193616 --0.497092, -6.75333, 0.237271 --0.5257, -6.7869, 0.216271 --0.840915, -7.05412, 0.161614 --0.594514, -6.84724, 0.197255 --1.84122, -7.82605, 0.101515 --1.21308, -7.35217, 0.131738 --0.768069, -7.03359, 0.351334 --0.499136, -6.78372, 0.284346 --0.513648, -6.77613, 0.221174 --2.14166, -8.58841, 0.521606 --1.53739, -7.87901, 0.460369 --0.518204, -6.77441, 0.279423 --0.729072, -6.98282, 0.341393 --0.543357, -6.78293, 0.21798 --0.596284, -6.85992, 0.19419 --2.32918, -8.14014, 0.0871861 --0.50707, -6.74821, 0.252455 --0.48508, -6.75027, 0.241684 --0.65662, -6.90037, 0.185569 --1.75844, -8.10041, 0.481188 --1.57514, -7.90114, 0.462537 --0.630616, -6.87826, 0.190091 --0.631733, -6.89008, 0.320212 --1.31926, -7.62592, 0.433926 --3.24212, -8.72042, 0.0673692 --3.04647, -9.65622, 0.592886 --0.544474, -6.81713, 0.205554 --0.513995, -6.7787, 0.281777 --0.483783, -6.76899, 0.27616 --0.926433, -7.11948, 0.15378 --1.51558, -7.54581, 0.117703 --0.492148, -6.74869, 0.245435 --0.565758, -6.84832, 0.308557 --0.646971, -6.90592, 0.324203 --1.1636, -7.46057, 0.414613 --0.741429, -6.9963, 0.344121 --0.522287, -6.78687, 0.285869 --0.688708, -6.94958, 0.33434 --2.5322, -8.25487, 0.0826858 --0.807762, -7.01909, 0.166263 --0.987197, -7.27085, 0.389625 --1.14502, -7.29402, 0.136597 --0.624961, -6.89011, 0.32022 --1.69001, -7.6899, 0.108886 --0.491246, -6.75647, 0.266477 --0.512671, -6.79049, 0.214801 --0.543214, -6.79567, 0.212798 --1.43637, -7.51492, 0.119755 --1.27218, -7.37435, 0.129974 --0.476615, -6.76212, 0.271374 --0.601094, -6.84537, 0.307657 --0.538961, -6.79182, 0.214277 --0.486793, -6.77187, 0.27794 --0.6204, -6.85407, 0.195579 --1.05433, -7.22486, 0.142879 --0.562546, -6.81307, 0.206819 --1.16502, -7.46768, 0.415485 --1.09664, -7.3905, 0.405795 --0.618613, -6.8765, 0.316621 --0.707422, -6.9394, 0.178451 --2.33646, -8.12816, 0.0876762 --0.497599, -6.77776, 0.220371 --2.9931, -8.60661, 0.0707378 --0.824186, -7.08734, 0.361008 --0.48888, -6.77037, 0.224214 --1.09354, -7.38676, 0.405313 --0.493989, -6.75838, 0.232301 --1.4966, -7.57138, 0.116051 --2.20834, -8.08546, 0.0894555 --0.682673, -6.96411, 0.337485 --0.689758, -6.95068, 0.334582 --0.46561, -6.75064, 0.241021 --1.42623, -7.51786, 0.119556 --3.77631, -10.6259, 0.644501 --0.94773, -7.13722, 0.151811 --1.02073, -7.19054, 0.146232 --0.917843, -7.20364, 0.379783 --0.561037, -6.83089, 0.201553 --3.15573, -8.70974, 0.0676761 --0.566382, -6.83079, 0.302998 --0.584803, -6.8505, 0.196446 --1.09083, -7.25446, 0.140118 --1.86575, -7.78312, 0.103751 --0.712181, -6.99373, 0.343608 --0.702106, -6.95352, 0.335203 --0.527966, -6.81153, 0.296207 --0.611076, -6.86152, 0.193819 --0.48888, -6.77037, 0.224214 --0.883681, -7.08622, 0.157644 --2.68615, -8.40763, 0.0771835 --0.508929, -6.75003, 0.242133 --0.484429, -6.74986, 0.25763 --0.693108, -6.93112, 0.179884 --2.25431, -8.7204, 0.53152 --0.903186, -7.10189, 0.155794 --0.578196, -6.82704, 0.202632 --0.648358, -6.90736, 0.324558 --0.553977, -6.81033, 0.295756 --0.622435, -6.86798, 0.314278 --0.636422, -6.86857, 0.192213 --1.38986, -7.45798, 0.123709 --0.735528, -7.01727, 0.348234 --0.553217, -6.79219, 0.21413 --0.4848, -6.75001, 0.242167 --0.859566, -7.06325, 0.160459 --2.33646, -8.12816, 0.0876762 --1.68709, -8.02267, 0.474087 --0.731526, -6.95304, 0.17617 --0.566382, -6.83079, 0.302998 --0.515284, -6.75644, 0.26645 --1.11991, -7.42102, 0.409689 --0.904833, -7.17717, 0.375724 --0.768282, -6.99081, 0.170298 --0.601813, -6.86656, 0.31388 --0.674386, -6.91112, 0.183511 --1.86364, -8.29499, 0.498095 --0.746663, -7.00202, 0.345258 --0.52476, -6.78931, 0.287011 --1.35894, -7.67951, 0.439806 --0.642469, -6.89751, 0.186133 --0.588116, -6.87024, 0.314908 --0.493281, -6.7741, 0.2222 --5.77772, -10.1268, 0.0384689 --1.98399, -8.38571, 0.505599 --0.491444, -6.75607, 0.234371 --1.53164, -7.87255, 0.459733 --0.509143, -6.75024, 0.241738 --0.914221, -7.18769, 0.377351 --1.8072, -7.80142, 0.102788 --0.502568, -6.75894, 0.268767 --1.05556, -7.34612, 0.399976 --1.87754, -7.82045, 0.101802 --0.532395, -6.77384, 0.279092 --2.21086, -8.00772, 0.0928327 --1.30318, -7.41519, 0.126842 --0.484876, -6.75029, 0.25849 --0.495272, -6.75163, 0.23949 --0.509143, -6.75024, 0.241738 --0.593315, -6.84045, 0.198986 --1.26699, -7.5702, 0.427628 --0.571943, -6.83991, 0.199129 --0.49457, -6.75891, 0.231863 --2.66193, -8.39168, 0.0777342 --1.37922, -7.70208, 0.442233 --0.787345, -7.04665, 0.353757 --0.472774, -6.75668, 0.233793 --0.785274, -7.00503, 0.168235 --0.55581, -6.82019, 0.299366 --0.903186, -7.10189, 0.155794 --0.601544, -6.8589, 0.311694 --1.70751, -7.72863, 0.106704 --0.937678, -7.22416, 0.382855 --0.562623, -6.8322, 0.201191 --0.462555, -6.7482, 0.247675 --0.895368, -7.09643, 0.156433 --0.893602, -7.16869, 0.3744 --0.731266, -7.01297, 0.347403 --0.955097, -7.2372, 0.384775 --0.483597, -6.74892, 0.244725 --0.841173, -7.05137, 0.161966 --0.491646, -6.74825, 0.252663 --2.34596, -8.15128, 0.086734 --0.664029, -6.91243, 0.325789 --0.491526, -6.74813, 0.251834 --0.998382, -7.28313, 0.391359 --1.19162, -7.4902, 0.418219 --0.466697, -6.75155, 0.239597 --0.668284, -6.90587, 0.184507 --0.509523, -6.75061, 0.24108 --1.72267, -8.06141, 0.477652 --0.564225, -6.80247, 0.210339 --1.09627, -7.25885, 0.139717 --0.975118, -7.15636, 0.149752 --0.996021, -7.17602, 0.147705 --0.490645, -6.77557, 0.280074 --0.507495, -6.74864, 0.254398 --0.542101, -6.7838, 0.284387 --0.494434, -6.75957, 0.269306 --0.500488, -6.76427, 0.227928 --1.07361, -7.22982, 0.142408 --0.469785, -6.75557, 0.265565 --0.492962, -6.75745, 0.233103 --1.09159, -7.2431, 0.141164 --1.09827, -7.24802, 0.140708 --0.736029, -6.99953, 0.344765 --1.13512, -7.28357, 0.13751 --1.09159, -7.2431, 0.141164 --0.886665, -7.08865, 0.157353 --0.627558, -6.87565, 0.190654 --0.65662, -6.90037, 0.185569 --1.36749, -7.44219, 0.124848 --0.492333, -6.74892, 0.255323 --0.507198, -6.76273, 0.228978 --0.569441, -6.82604, 0.301397 --4.3007, -9.39725, 0.0510335 --2.60737, -9.03862, 0.553995 --0.533379, -6.7735, 0.222517 --0.586765, -6.83028, 0.30283 --1.49377, -7.55731, 0.116955 --0.570682, -6.83511, 0.304415 --1.1114, -7.40554, 0.407725 --0.524171, -6.78554, 0.216847 --2.11067, -7.94339, 0.0957734 --0.543132, -6.78486, 0.284908 --1.0793, -7.37456, 0.403727 --0.612504, -6.84689, 0.197342 --0.555207, -6.81158, 0.296226 --1.2903, -7.59502, 0.430458 --2.7505, -8.34331, 0.0794368 --0.688123, -6.92693, 0.180622 --0.617243, -6.8512, 0.196275 --1.86217, -7.80986, 0.102349 --1.52053, -7.86008, 0.458498 --0.490645, -6.77557, 0.280074 --0.587297, -6.82382, 0.203559 --0.643647, -6.88455, 0.188761 --0.647197, -6.91287, 0.325896 --0.524481, -6.80816, 0.294923 --0.612504, -6.84689, 0.197342 --0.859048, -7.14308, 0.370324 --0.599894, -6.84411, 0.307266 --0.649307, -6.91504, 0.326417 --1.64438, -7.68204, 0.109338 --0.516097, -6.75726, 0.267244 --0.49319, -6.75766, 0.232921 --0.523275, -6.78474, 0.21719 --2.5322, -8.25487, 0.0826858 --2.66193, -8.39168, 0.0777342 --0.544488, -6.78626, 0.285581 --0.507606, -6.74875, 0.254778 --3.37296, -10.0441, 0.614736 --0.463059, -6.74857, 0.245871 --0.992746, -7.17345, 0.147969 --0.850759, -7.12567, 0.367484 --1.11991, -7.42102, 0.409689 --0.509146, -6.77208, 0.22327 --0.591705, -6.85632, 0.310942 --0.584254, -6.84878, 0.308699 --0.634331, -6.88143, 0.189417 --1.41469, -7.74162, 0.44642 --2.32003, -8.11741, 0.0881192 --1.04787, -7.33763, 0.39884 --0.59032, -6.8378, 0.199682 --0.490477, -6.75519, 0.235238 --0.59564, -6.87765, 0.316931 --0.534984, -6.79118, 0.287867 --0.518412, -6.77307, 0.22274 --0.569896, -6.82585, 0.202971 --0.528282, -6.7892, 0.215323 --3.15573, -8.70974, 0.0676761 --0.794913, -7.05499, 0.355278 --0.504239, -6.76058, 0.270153 --1.2414, -7.36823, 0.130456 --0.521371, -6.76205, 0.229463 --0.79807, -7.08071, 0.359856 --2.52657, -8.3018, 0.080939 --0.597499, -6.86218, 0.31264 --0.784977, -6.99948, 0.169031 +# stanc_version = stanc3 v2.37.0 +# stancflags = --filename-in-msg=bernoulli.stan +lp_approx__,lp__,path__,theta +-0.53011422, -6.7643572, 1, 0.22787259 +-1.2434904, -7.3786216, 1, 0.12963963 +-0.51344929, -6.7480341, 1, 0.25062316 +-0.51361354, -6.748198, 1, 0.24765788 +-0.72916307, -6.9788483, 1, 0.34057608 +-0.51580698, -6.7504097, 1, 0.25870416 +-0.57690954, -6.8139559, 1, 0.2971113 +-0.57690954, -6.8139559, 1, 0.2971113 +-1.4648903, -7.5519385, 1, 0.11730339 +-0.86935299, -7.1354121, 1, 0.36908011 +-0.75451965, -7.0068884, 1, 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-8.1993616, 4, 0.48993152 +-0.52913733, -6.7710425, 4, 0.27743842 +-0.7588018, -6.977013, 4, 0.17237378 +-1.6352777, -8.0222096, 4, 0.47404444 +-0.50876097, -6.7503828, 4, 0.24147651 +-0.93792307, -7.2144536, 4, 0.38140989 +-1.248441, -7.3797886, 4, 0.12954853 +-0.56289344, -6.8016505, 4, 0.21062554 +-0.66126057, -6.9098898, 4, 0.32517441 +-0.50750275, -6.7491789, 4, 0.2560452 +-0.50750275, -6.7491789, 4, 0.2560452 +-0.72592977, -6.9797708, 4, 0.34076652 +-0.79967606, -7.0605424, 4, 0.35628081 +-1.2606233, -7.3893462, 4, 0.12880699 +-1.2606233, -7.3893462, 4, 0.12880699 +-1.2606233, -7.3893462, 4, 0.12880699 +-0.51497944, -6.7564014, 4, 0.23405527 +-2.1541937, -8.643089, 4, 0.52575864 +-0.73251101, -6.9541174, 4, 0.17599333 +-1.3217776, -7.4370405, 4, 0.12522399 +-1.6348867, -8.0217464, 4, 0.47400148 +-2.6095867, -8.3558438, 4, 0.078990628 +-1.5683655, -7.9430914, 4, 0.46658943 +-1.5683655, -7.9430914, 4, 0.46658943 +-0.50639121, -6.7480731, 4, 0.25126847 +-0.98854185, -7.2714928, 4, 0.38971657 +-0.51392026, -6.7553802, 4, 0.23504416 +-1.2123987, -7.351398, 4, 0.13180077 +-1.2123987, -7.351398, 4, 0.13180077 +-3.2833216, -10.01856, 4, 0.61334908 +-0.50636266, -6.7480432, 4, 0.24918196 +-0.50829354, -6.7499671, 4, 0.25785041 +-1.4220296, -7.7710319, 4, 0.44948126 +-0.55358209, -6.7929693, 4, 0.21382715 +-1.5716111, -7.6273124, 4, 0.11257354 +-0.94552275, -7.2229958, 4, 0.38268261 +-0.54146502, -6.7836766, 4, 0.28432623 +-1.8087802, -8.2284885, 4, 0.49244665 +-3.7091321, -9.0481203, 4, 0.058754592 +-0.61022967, -6.8555125, 4, 0.31070644 +-0.53967114, -6.7818322, 4, 0.28340357 +-0.53789107, -6.7800038, 4, 0.28246498 +-0.53789107, -6.7800038, 4, 0.28246498 +-1.5314268, -7.5971754, 4, 0.11442468 +-1.741776, -7.7531054, 4, 0.10536087 +-0.85812805, -7.1252562, 4, 0.36741504 +-1.2097263, -7.3492862, 4, 0.13197136 +-0.51468289, -6.7561156, 4, 0.23432544 +-1.4400694, -7.7921654, 4, 0.45165497 +-2.5691948, -8.3290379, 4, 0.079948882 +-2.5691948, -8.3290379, 4, 0.079948882 +-1.7009119, -7.7231582, 4, 0.10700776 +-0.50634533, -6.7480265, 4, 0.24961588 +-0.50634533, -6.7480265, 4, 0.24961588 +-0.82186269, -7.0312882, 4, 0.16460327 # -# Elapsed Time: 0.001000 seconds (Pathfinders) -# 0.001000 seconds (PSIS) -# 0.002000 seconds (Total) +# Elapsed Time: 0.000000 seconds (Pathfinders) +# 0.000000 seconds (PSIS) +# 0.000000 seconds (Total) # diff --git a/test/data/pathfinder/bernoulli-pathfinder_config.json b/test/data/pathfinder/bernoulli-pathfinder_config.json new file mode 100644 index 00000000..c8555515 --- /dev/null +++ b/test/data/pathfinder/bernoulli-pathfinder_config.json @@ -0,0 +1,48 @@ + +{ + "stan_major_version" : "2", + "stan_minor_version" : "37", + "stan_patch_version" : "0", + "model_name" : "bernoulli_model", + "start_datetime" : "2026-04-12 00:35:48 UTC", + "method" : { + "value" : "pathfinder", + "pathfinder" : { + "init_alpha" : 0.001, + "tol_obj" : 1e-12, + "tol_rel_obj" : 10000, + "tol_grad" : 1e-08, + "tol_rel_grad" : 10000000, + "tol_param" : 1e-08, + "history_size" : 5, + "num_psis_draws" : 1000, + "num_paths" : 4, + "save_single_paths" : false, + "psis_resample" : true, + "calculate_lp" : true, + "max_lbfgs_iters" : 1000, + "num_draws" : 1000, + "num_elbo_draws" : 25 + } + }, + "id" : 1, + "data" : { + "file" : "test\/data\/bernoulli.data.json" + }, + "init" : "2", + "random" : { + "seed" : 12345 + }, + "output" : { + "file" : "\/tmp\/tmpj7vksit8\/bernoulli9hb1n4hj\/bernoulli-20260411203548.csv", + "diagnostic_file" : "", + "refresh" : 100, + "sig_figs" : 8, + "profile_file" : "profile.csv", + "save_cmdstan_config" : true + }, + "num_threads" : 1, + "mpi_enabled" : false, + "stanc_version" : "stanc3 v2.37.0", + "stancflags" : "--filename-in-msg=bernoulli.stan" +} diff --git a/test/data/runset-bad/bad-cols-bern-1.csv b/test/data/runset-bad/bad-cols-bern-1.csv index f0ca71d3..3d99419e 100644 --- a/test/data/runset-bad/bad-cols-bern-1.csv +++ b/test/data/runset-bad/bad-cols-bern-1.csv @@ -1,22 +1,24 @@ # stan_version_major = 2 -# stan_version_minor = 19 -# stan_version_patch = 1 +# stan_version_minor = 37 +# stan_version_patch = 0 # model = bernoulli_model +# start_datetime = 2026-07-20 16:58:36 UTC # method = sample (Default) # sample -# num_samples = 1000 (Default) +# num_samples = 100 # num_warmup = 1000 (Default) -# save_warmup = 0 (Default) +# save_warmup = false (Default) # thin = 1 (Default) # adapt -# engaged = 1 (Default) -# gamma = 0.050000000000000003 (Default) -# delta = 0.80000000000000004 (Default) +# engaged = true (Default) +# gamma = 0.05 (Default) +# delta = 0.8 (Default) # kappa = 0.75 (Default) # t0 = 10 (Default) # init_buffer = 75 (Default) # term_buffer = 50 (Default) # window = 25 (Default) +# save_metric = true # algorithm = hmc (Default) # hmc # engine = nuts (Default) @@ -26,1023 +28,130 @@ # metric_file = (Default) # stepsize = 1 (Default) # stepsize_jitter = 0 (Default) -# id = 1 +# num_chains = 1 (Default) +# id = 1 (Default) # data -# file = /Users/mitzi/github/stan-dev/cmdstanpy/test/files-data/bernoulli.data.R +# file = test/data/bernoulli.data.json # init = 2 (Default) # random -# seed = 73255 +# seed = 12345 # output -# file = /Users/mitzi/github/stan-dev/cmdstanpy/test/files-tmp/bernoulli.output-1.csv +# file = /tmp/tmpuisjazeu/bernoullik799pfr2/bernoulli-20260720125836_1.csv # diagnostic_file = (Default) # refresh = 100 (Default) +# sig_figs = 8 (Default) +# profile_file = profile.csv (Default) +# save_cmdstan_config = true +# num_threads = 1 (Default) +# stanc_version = stanc3 v2.37.0 +# stancflags = --filename-in-msg=bernoulli.stan lp__,accept_stat__,stepsize__,treedepth__,n_leapfrog__,divergent__,energy__,theta # Adaptation terminated -# Step size = 1.19013 +# Step size = 0.766137 # Diagonal elements of inverse mass matrix: -# 0.462508 --10.0146,0.410437,1.19013,2,3,0,10.0344,0.0401433 --10.6752,0.955973,1.19013,1,1,0,10.9525,0.031339 --8.74568,1,1.19013,1,1,0,10.4915,0.0666498 --7.73421,1,1.19013,1,1,0,8.61734,0.106395 --7.34483,1,1.19013,2,3,0,7.60295,0.399804 --6.99554,1,1.19013,2,3,0,7.51978,0.169604 --6.74872,0.97732,1.19013,2,3,0,7.01801,0.245352 --6.76043,0.996921,1.19013,1,3,0,6.76045,0.230662 --6.83182,0.976224,1.19013,1,1,0,6.83206,0.201297 --6.79336,0.956324,1.19013,2,3,0,7.0435,0.213677 --7.01549,0.931368,1.19013,2,3,0,7.15041,0.347891 --7.01549,0.365436,1.19013,1,1,0,8.21791,0.347891 --7.3596,0.930178,1.19013,2,3,0,7.46202,0.401764 --6.98922,1,1.19013,1,1,0,7.28028,0.342698 --6.75558,1,1.19013,1,3,0,6.92439,0.234847 --7.33725,0.866953,1.19013,1,3,0,7.37901,0.132952 --8.02633,0.976063,1.19013,2,3,0,8.42183,0.474426 --7.31014,0.728145,1.19013,2,3,0,9.23076,0.135215 --7.51101,0.956887,1.19013,1,1,0,7.61792,0.120019 --7.57802,0.995467,1.19013,2,3,0,7.75823,0.115629 --7.45469,1,1.19013,1,1,0,7.70648,0.123945 --7.55502,0.979303,1.19013,1,1,0,7.71498,0.117103 --6.75578,0.931522,1.19013,2,3,0,7.47384,0.265778 --7.05088,0.915238,1.19013,1,3,0,7.0509,0.35453 --7.05088,0.612489,1.19013,1,1,0,7.71201,0.35453 --6.89561,1,1.19013,1,1,0,7.03585,0.321627 --6.78269,1,1.19013,1,1,0,6.85708,0.283834 --6.7514,1,1.19013,2,3,0,6.77076,0.260364 --6.74963,1,1.19013,2,3,0,6.75101,0.242964 --6.80186,0.986489,1.19013,1,3,0,6.80255,0.210551 --6.81925,0.994391,1.19013,1,1,0,6.83484,0.204912 --6.78996,1,1.19013,1,1,0,6.82001,0.215013 --7.11492,0.889059,1.19013,2,3,0,7.42437,0.154296 --7.68905,0.876336,1.19013,1,1,0,7.70718,0.108935 --6.75086,0.929121,1.19013,1,3,0,7.53836,0.259502 --7.72929,0.792105,1.19013,2,3,0,8.00686,0.106667 --9.7905,0.90914,1.19013,1,3,0,9.80736,0.0437486 --11.0065,0.919326,1.19013,1,1,0,11.1297,0.0277538 --9.30788,1,1.19013,1,1,0,10.9032,0.0528858 --9.59785,0.973246,1.19013,1,1,0,9.94716,0.0471517 --9.40546,1,1.19013,1,1,0,9.9732,0.0508674 --8.45267,1,1.19013,1,1,0,9.39091,0.0756576 --9.97938,0.842376,1.19013,1,1,0,10.0002,0.0406869 --10.8173,0.945054,1.19013,1,1,0,11.0408,0.0297418 --9.42889,1,1.19013,1,1,0,10.786,0.0503966 --7.93532,1,1.19013,1,1,0,9.22541,0.096152 --7.00062,1,1.19013,1,3,0,7.71278,0.168867 --7.41238,0.817285,1.19013,2,3,0,8.24637,0.408595 --7.11349,1,1.19013,2,3,0,7.32868,0.154459 --6.7569,0.97402,1.19013,2,3,0,7.0648,0.266896 --7.03589,0.892641,1.19013,1,1,0,7.03589,0.351764 --6.80725,0.983881,1.19013,2,3,0,7.07461,0.208708 --6.7873,1,1.19013,1,1,0,6.81133,0.216103 --6.95321,0.841085,1.19013,2,3,0,7.46531,0.335136 --6.7617,1,1.19013,1,1,0,6.87601,0.271046 --6.99124,0.950864,1.19013,2,3,0,6.99176,0.343106 --6.99124,0.891079,1.19013,1,1,0,7.22303,0.343106 --6.99124,0.113716,1.19013,1,1,0,9.47029,0.343106 --6.99124,0.483539,1.19013,1,1,0,7.88825,0.343106 --6.90889,1,1.19013,2,3,0,7.01693,0.32493 --6.90183,1,1.19013,1,1,0,6.96853,0.323191 --6.98853,0.962906,1.19013,1,1,0,7.04691,0.342557 --6.80665,1,1.19013,1,1,0,6.9268,0.294339 --6.86195,0.993272,1.19013,2,3,0,6.86553,0.193717 --7.67071,0.815523,1.19013,1,3,0,7.81708,0.438852 --9.23833,0.464852,1.19013,1,1,0,9.64564,0.567192 --6.8282,1,1.19013,1,3,0,8.44376,0.202304 --7.7717,0.781927,1.19013,1,3,0,7.88491,0.449551 --6.82866,1,1.19013,1,3,0,7.56511,0.202174 --7.00807,0.947593,1.19013,1,1,0,7.0149,0.167803 --6.85711,1,1.19013,1,1,0,6.97878,0.194851 --6.83818,0.939362,1.19013,2,3,0,7.17446,0.199583 --7.20235,0.524802,1.19013,2,3,0,10.1435,0.145059 --6.74869,0.987868,1.19013,2,3,0,7.23623,0.254593 --8.03185,0.68395,1.19013,1,3,0,8.03801,0.474937 --7.52093,1,1.19013,1,1,0,8.12592,0.421888 --6.9844,0.963867,1.19013,1,3,0,7.67645,0.171254 --6.77415,1,1.19013,2,3,0,6.967,0.279272 --6.9204,0.941697,1.19013,1,1,0,6.9248,0.327694 --6.90386,1,1.19013,2,3,0,6.9762,0.323694 --7.75806,0.817665,1.19013,2,3,0,7.8498,0.105092 --8.59839,0.901344,1.19013,2,3,0,8.6448,0.522369 --6.89818,1,1.19013,2,3,0,7.8504,0.322278 --6.776,1,1.19013,2,3,0,6.85354,0.280315 --6.776,0.272218,1.19013,1,1,0,8.35246,0.280315 --7.43254,0.848551,1.19013,2,3,0,7.6024,0.125554 --6.76253,0.997795,1.19013,2,3,0,7.36723,0.271687 --6.76253,0.422606,1.19013,1,3,0,8.37917,0.271687 --6.77741,0.994174,1.19013,1,1,0,6.78173,0.281091 --6.76602,1,1.19013,1,1,0,6.77882,0.274202 --7.85756,0.793535,1.19013,2,3,0,7.85768,0.458248 --8.59173,0.697645,1.19013,1,1,0,9.09706,0.52186 --8.0629,1,1.19013,1,1,0,8.93958,0.477788 --7.34435,0.997365,1.19013,2,3,0,8.66313,0.132372 --6.93663,1,1.19013,1,1,0,7.24523,0.178926 --6.76843,0.729816,1.19013,2,3,0,8.59354,0.275803 --6.75915,0.728485,1.19013,2,3,0,7.63927,0.268954 --6.75915,0.639255,1.19013,1,3,0,8.09114,0.268954 --6.75047,1,1.19013,1,1,0,6.75623,0.258812 --8.24861,0.647514,1.19013,1,3,0,8.61666,0.0829228 --9.80426,0.880548,1.19013,2,3,0,10.0348,0.601435 --8.092,1,1.19013,1,1,0,9.57834,0.480429 --6.76947,1,1.19013,2,3,0,7.51415,0.276464 --7.99262,0.750854,1.19013,2,3,0,8.22766,0.0935109 --10.7565,0.899809,1.19013,1,3,0,10.8383,0.0304143 --6.74839,0.750423,1.19013,2,3,0,11.7736,0.253393 --7.26417,0.8591,1.19013,1,3,0,7.26939,0.388675 --6.7481,1,1.19013,1,3,0,7.0642,0.251568 --6.75583,0.99721,1.19013,2,3,0,6.75922,0.234605 --7.05477,0.920134,1.19013,1,3,0,7.07754,0.355238 --6.75727,1,1.19013,1,1,0,6.93336,0.267254 --6.77153,0.994468,1.19013,1,1,0,6.77394,0.277737 --8.59478,0.693462,1.19013,2,3,0,8.59527,0.522093 --6.96201,1,1.19013,1,3,0,8.3429,0.174719 --6.96201,0.816064,1.19013,1,3,0,8.02441,0.174719 --7.06975,0.990294,1.19013,2,3,0,7.11625,0.159649 --7.46897,0.972881,1.19013,2,3,0,7.659,0.415642 --12.4917,0.093004,1.19013,1,1,0,12.7314,0.721763 --7.03102,1,1.19013,2,3,0,9.97787,0.350851 --11.144,0.452732,1.19013,2,3,0,11.2262,0.668441 --6.89715,1,1.19013,1,1,0,9.17811,0.322016 --6.76829,1,1.19013,1,1,0,6.84761,0.27571 --6.75049,0.936871,1.19013,2,3,0,6.94075,0.258854 --6.78067,0.989249,1.19013,2,3,0,6.7997,0.219001 --6.74922,0.998731,1.19013,1,3,0,6.77429,0.256146 --6.74844,1,1.19013,2,3,0,6.74902,0.253616 --6.74803,0.725549,1.19013,2,3,0,8.04685,0.250323 --7.50906,0.799747,1.19013,1,3,0,7.51764,0.420479 --6.85397,1,1.19013,1,1,0,7.24412,0.310252 --6.91439,0.974589,1.19013,1,1,0,6.95335,0.326261 --7.24528,0.862257,1.19013,1,1,0,7.3024,0.385953 --9.63142,0.475981,1.19013,2,3,0,9.65527,0.0465369 --6.74811,0.761111,1.19013,2,3,0,10.0257,0.251688 --6.74811,0.733241,1.19013,1,3,0,7.37442,0.251688 --6.74811,0.772964,1.19013,1,3,0,7.49186,0.251688 --6.79515,0.977363,1.19013,2,3,0,6.8419,0.212995 --6.82094,0.94474,1.19013,2,3,0,7.04149,0.204404 --6.99752,0.840819,1.19013,2,3,0,7.66026,0.344366 --6.99752,0.160161,1.19013,1,3,0,10.8087,0.344366 --6.9425,0.655759,1.19013,2,3,0,8.25817,0.177924 --7.07909,0.908026,1.19013,2,3,0,7.66413,0.158504 --7.13938,0.994864,1.19013,2,3,0,7.22451,0.151576 --6.76312,0.738931,1.19013,2,3,0,8.95831,0.272129 --6.76312,0.628992,1.19013,1,3,0,8.14472,0.272129 --8.07428,0.566079,1.19013,1,1,0,8.07428,0.478824 --7.09249,1,1.19013,1,1,0,7.74161,0.361898 --7.37601,0.94414,1.19013,2,3,0,7.51518,0.403916 --7.7041,0.652216,1.19013,2,3,0,8.73735,0.108078 --8.27341,0.907274,1.19013,1,1,0,8.36975,0.0819895 --8.71069,0.941978,1.19013,1,1,0,8.90842,0.0676489 --6.85042,0.909183,1.19013,1,3,0,8.40087,0.196467 --6.81658,1,1.19013,1,1,0,6.85754,0.205723 --6.93955,0.981136,1.19013,2,3,0,7.00691,0.332109 --8.67709,0.497216,1.19013,2,3,0,9.76961,0.0686263 --10.0705,0.865346,1.19013,1,1,0,10.1143,0.0392991 --7.15074,1,1.19013,2,3,0,9.0054,0.371555 --6.84841,0.966206,1.19013,2,3,0,7.28836,0.196963 --7.26649,0.871542,1.19013,2,3,0,7.78026,0.139027 --8.02647,0.668226,1.19013,2,3,0,9.74113,0.474439 --7.01345,1,1.19013,2,3,0,7.64681,0.347496 --6.75158,1,1.19013,1,3,0,6.93038,0.239553 --6.75158,0.615771,1.19013,1,3,0,7.77495,0.239553 --6.84306,0.789742,1.19013,2,3,0,7.49172,0.306941 --7.02109,0.926137,1.19013,1,1,0,7.05105,0.348967 --7.54873,0.783137,1.19013,1,1,0,7.65127,0.425147 --8.81341,0.539335,1.19013,1,1,0,9.16427,0.538288 --6.97022,1,1.19013,1,3,0,8.49628,0.173424 --6.80385,1,1.19013,1,1,0,6.92206,0.209861 --7.15933,0.475294,1.19013,2,3,0,9.75142,0.372923 --8.3506,0.565323,1.19013,1,1,0,8.51405,0.502722 --6.8505,1,1.19013,1,1,0,7.68786,0.309217 --6.8505,0.451775,1.19013,1,1,0,7.80779,0.309217 --6.8505,0.655213,1.19013,1,1,0,7.38941,0.309217 --6.99593,0.973496,1.19013,2,3,0,7.02997,0.344049 --7.02477,0.987243,1.19013,1,1,0,7.12754,0.34967 --7.02477,0.246219,1.19013,1,1,0,8.65387,0.34967 --6.84767,1,1.19013,2,3,0,6.98019,0.308359 --7.69093,0.684382,1.19013,1,1,0,7.71567,0.441037 --6.74802,1,1.19013,1,3,0,7.315,0.249836 --6.77346,0.987551,1.19013,2,3,0,6.79663,0.278876 --6.88834,0.954159,1.19013,1,1,0,6.8931,0.319759 --6.76076,0.66862,1.19013,2,3,0,7.95048,0.230412 --7.40117,0.83622,1.19013,1,3,0,7.43564,0.407166 --6.74847,1,1.19013,1,3,0,7.15325,0.246274 --6.7578,0.995412,1.19013,2,3,0,6.76723,0.232793 --6.8846,0.965886,1.19013,1,3,0,6.90485,0.318783 --7.30123,0.830283,1.19013,1,1,0,7.34417,0.393881 --6.77051,1,1.19013,2,3,0,7.07766,0.277109 --6.86553,0.962177,1.19013,1,1,0,6.86976,0.313591 --6.75055,1,1.19013,1,3,0,6.83274,0.241183 --7.97532,0.721016,1.19013,1,3,0,8.16924,0.0942966 --6.85064,0.980794,1.19013,1,3,0,7.71475,0.196411 --6.98669,0.822231,1.19013,2,3,0,7.80617,0.342184 --6.81998,1,1.19013,2,3,0,6.93657,0.29929 --6.81998,0.694109,1.19013,1,1,0,7.29119,0.29929 --6.75075,0.92253,1.19013,2,3,0,7.07968,0.259307 --6.78091,0.988456,1.19013,1,1,0,6.78098,0.282931 --6.74856,0.996336,1.19013,2,3,0,6.79092,0.245931 --6.74944,0.999866,1.19013,2,3,0,6.74966,0.256685 --6.74944,0.914723,1.19013,1,3,0,6.98861,0.256685 --6.87284,0.964842,1.19013,1,3,0,6.87359,0.315623 --7.00912,0.557372,1.19013,2,3,0,8.71556,0.167654 --7.1387,0.981109,1.19013,2,3,0,7.13951,0.369615 --7.35225,0.905484,1.19013,1,1,0,7.51446,0.400792 --7.12468,1,1.19013,2,3,0,7.25713,0.153197 --6.92359,1,1.19013,1,1,0,7.09362,0.18122 --7.08306,0.956584,1.19013,1,1,0,7.11256,0.158024 --7.19378,0.972305,1.19013,1,1,0,7.26955,0.145909 --7.52131,0.912193,1.19013,2,3,0,8.09296,0.421932 --7.04296,0.59435,1.19013,2,3,0,8.98194,0.163057 --7.03963,1,1.19013,2,3,0,7.12954,0.163495 --8.2984,0.746841,1.19013,1,3,0,8.62057,0.498381 --7.06237,0.98186,1.19013,1,3,0,8.34434,0.160569 --6.74813,0.984489,1.19013,2,3,0,7.13363,0.2482 --6.91531,0.464306,1.19013,2,3,0,9.67489,0.326482 --7.08275,0.928655,1.19013,1,1,0,7.1441,0.360212 --8.04638,0.63374,1.19013,1,1,0,8.17463,0.476275 --7.34704,1,1.19013,2,3,0,8.37598,0.132153 --7.86283,0.90224,1.19013,1,3,0,8.47581,0.458771 --6.79432,1,1.19013,1,3,0,7.55085,0.213307 --6.7809,1,1.19013,2,3,0,6.7993,0.218895 --6.94848,0.725307,1.19013,2,3,0,7.89947,0.3341 --6.78158,0.702244,1.19013,2,3,0,7.87713,0.218587 --6.81825,0.996002,1.19013,2,3,0,6.82528,0.205212 --6.74807,0.993984,1.19013,2,3,0,6.82303,0.25121 --7.94706,0.702772,1.19013,1,3,0,7.95581,0.466969 --7.10315,1,1.19013,2,3,0,7.68608,0.363718 --7.03704,1,1.19013,1,1,0,7.19293,0.351979 --7.38998,0.84989,1.19013,1,1,0,7.50217,0.405727 --7.09678,1,1.19013,1,1,0,7.39493,0.362633 --7.09678,0.54629,1.19013,1,1,0,7.89487,0.362633 --6.84333,1,1.19013,2,3,0,7.015,0.307026 --7.35679,0.893721,1.19013,2,3,0,7.3817,0.401392 --6.9779,0.84556,1.19013,2,3,0,7.98673,0.172239 --7.36427,0.905408,1.19013,1,1,0,7.38017,0.13077 --6.75136,0.941474,1.19013,2,3,0,7.41086,0.239885 --6.8837,0.874761,1.19013,2,3,0,7.30101,0.318544 --6.80684,1,1.19013,2,3,0,6.87995,0.208845 --7.20812,0.924255,1.19013,1,3,0,7.20889,0.144494 --6.76555,0.954553,1.19013,2,3,0,7.32401,0.227098 --6.76555,0.734468,1.19013,1,3,0,7.48838,0.227098 --7.35844,0.848845,1.19013,1,3,0,7.39885,0.401611 --7.94172,0.420004,1.19013,2,3,0,9.75424,0.0958517 --7.71125,1,1.19013,1,1,0,8.07347,0.107674 --9.16275,0.79751,1.19013,1,1,0,9.16494,0.0560709 --6.86644,0.870519,1.19013,1,3,0,8.8598,0.19269 --6.76545,1,1.19013,1,1,0,6.83322,0.227161 --7.07157,0.920019,1.19013,1,3,0,7.10716,0.358247 --7.1414,0.989576,1.19013,2,3,0,7.27661,0.370053 --7.48394,0.851856,1.19013,1,1,0,7.64505,0.417463 --6.80375,1,1.19013,1,3,0,7.33555,0.209896 --7.1002,0.914157,1.19013,1,1,0,7.10023,0.155991 --7.41901,0.926142,1.19013,1,1,0,7.46364,0.126556 --6.75683,0.935032,1.19013,2,3,0,7.50318,0.233658 --6.766,0.996808,1.19013,1,1,0,6.7681,0.226812 --6.81299,0.993286,1.19013,2,3,0,6.81505,0.206845 --6.81299,0.870946,1.19013,1,3,0,7.33669,0.206845 --6.78542,1,1.19013,1,1,0,6.81307,0.216895 --6.80048,0.997973,1.19013,2,3,0,6.80051,0.291868 --6.78003,1,1.19013,1,1,0,6.80302,0.282481 --6.76165,0.951611,1.19013,2,3,0,6.94909,0.271001 --6.78946,0.989092,1.19013,1,1,0,6.79277,0.287082 --7.27712,0.8111,1.19013,1,1,0,7.28301,0.390513 --7.74664,0.799268,1.19013,1,1,0,7.97083,0.446945 --6.936,0.984577,1.19013,1,3,0,7.74722,0.179033 --6.99341,0.994623,1.19013,2,3,0,7.04167,0.169916 --7.11527,0.967917,1.19013,1,1,0,7.16725,0.154256 --7.57359,0.898548,1.19013,1,1,0,7.60318,0.11591 --7.57359,0.773727,1.19013,1,3,0,10.4723,0.11591 --7.15338,1,1.19013,2,3,0,7.51726,0.150069 --6.78652,0.968355,1.19013,2,3,0,7.38636,0.21643 --6.95378,0.957048,1.19013,2,3,0,7.01325,0.33526 --6.95378,0.940156,1.19013,1,1,0,7.10992,0.33526 --7.31845,0.847602,1.19013,1,1,0,7.3925,0.396246 --6.75366,1,1.19013,1,3,0,7.08601,0.263422 --9.38648,0.540923,1.19013,2,3,0,9.63777,0.0512526 --7.67369,1,1.19013,1,3,0,9.12047,0.109822 --6.92408,1,1.19013,1,3,0,7.48145,0.181132 --6.83181,1,1.19013,2,3,0,6.89628,0.303335 --8.01456,0.748652,1.19013,2,3,0,8.17171,0.0925283 --7.14894,1,1.19013,1,1,0,7.8287,0.150543 --6.78036,1,1.19013,1,3,0,7.03797,0.219144 --6.83564,0.94199,1.19013,2,3,0,7.03992,0.20026 --6.7689,1,1.19013,2,3,0,6.82752,0.276106 --6.76286,1,1.19013,2,3,0,6.76656,0.228892 --8.83627,0.563481,1.19013,1,3,0,8.87843,0.539925 --7.01211,1,1.19013,1,3,0,8.59496,0.167233 --7.01211,0.610417,1.19013,1,3,0,9.57804,0.167233 --7.01211,0.860922,1.19013,1,3,0,7.94703,0.167233 --7.01211,0.96221,1.19013,1,1,0,7.17252,0.167233 --6.91175,1,1.19013,1,1,0,7.01831,0.183392 --6.82056,1,1.19013,1,1,0,6.89582,0.204518 --6.77343,1,1.19013,1,1,0,6.80882,0.222551 --6.75559,0.982473,1.19013,2,3,0,6.84029,0.234833 --6.83581,0.924705,1.19013,2,3,0,7.03857,0.304641 --7.17025,0.864339,1.19013,1,1,0,7.19415,0.374645 --7.13076,1,1.19013,1,1,0,7.31564,0.368321 --6.86292,1,1.19013,1,1,0,7.04951,0.312851 --6.86292,0.804658,1.19013,1,1,0,7.16695,0.312851 --6.75012,0.851155,1.19013,2,3,0,7.38293,0.241966 --6.7758,0.991825,1.19013,2,3,0,6.78516,0.280203 --6.79455,0.992527,1.19013,1,1,0,6.80374,0.289358 --6.75932,0.911881,1.19013,2,3,0,7.10024,0.269097 --7.66809,0.757254,1.19013,1,3,0,7.66818,0.438566 --7.34215,1,1.19013,1,1,0,7.76942,0.399446 --6.97178,1,1.19013,1,1,0,7.25555,0.339106 --6.85525,1,1.19013,2,3,0,6.95772,0.195293 --7.1098,0.929162,1.19013,1,1,0,7.11641,0.15488 --6.82818,0.960545,1.19013,2,3,0,7.44141,0.20231 --7.09648,0.931148,1.19013,2,3,0,7.23062,0.362582 --6.89255,1,1.19013,2,3,0,7.13454,0.187123 --6.89255,0.8708,1.19013,1,3,0,7.5535,0.187123 --7.02285,0.984664,1.19013,2,3,0,7.04139,0.349304 --6.74842,1,1.19013,1,3,0,6.9254,0.246479 --6.97306,0.438051,1.19013,2,3,0,10.0665,0.339372 --6.78709,0.608182,1.19013,2,3,0,8.29286,0.216189 --7.00907,0.888806,1.19013,2,3,0,7.35668,0.346644 --7.6528,0.741621,1.19013,1,1,0,7.74875,0.436896 --7.70322,0.975885,1.19013,1,1,0,8.11432,0.442355 --6.75721,1,1.19013,1,3,0,7.36516,0.233319 --7.15719,0.907558,1.19013,1,3,0,7.1751,0.149665 --7.01738,1,1.19013,2,3,0,7.17525,0.166499 --7.08563,0.9172,1.19013,2,3,0,7.75817,0.157715 --8.24468,0.891265,1.19013,1,3,0,8.24841,0.0830718 --8.54396,0.958546,1.19013,1,1,0,8.77664,0.072687 --7.13593,0.951537,1.19013,2,3,0,8.9506,0.369164 --7.13593,0.932467,1.19013,1,1,0,7.37943,0.369164 --6.93533,1,1.19013,1,1,0,7.11571,0.331154 --6.77369,0.986194,1.19013,2,3,0,6.96925,0.222414 --6.79664,0.992346,1.19013,1,1,0,6.80268,0.212437 --6.77888,1,1.19013,1,1,0,6.79897,0.219836 --6.75219,0.999455,1.19013,2,3,0,6.78159,0.26153 --6.75219,0.216,1.19013,1,3,0,9.98458,0.26153 --8.88338,0.533039,1.19013,1,3,0,8.88602,0.543268 --7.15725,1,1.19013,2,3,0,8.21366,0.372594 --7.02034,1,1.19013,1,1,0,7.20476,0.348825 --6.90597,1,1.19013,1,1,0,7.02929,0.324215 --6.74995,1,1.19013,1,3,0,6.8575,0.242292 --7.69356,0.777413,1.19013,1,3,0,7.82105,0.108677 --7.42314,1,1.19013,1,1,0,7.75179,0.126249 --7.42314,0.911069,1.19013,1,1,0,7.8757,0.126249 --8.0848,0.937445,1.19013,2,3,0,8.21227,0.479779 --6.75302,1,1.19013,1,3,0,7.57242,0.237649 --6.85236,0.763219,1.19013,2,3,0,7.60538,0.309773 --6.74802,0.913536,1.19013,2,3,0,7.13999,0.2498 --7.28469,0.862205,1.19013,2,3,0,7.53741,0.137411 --8.43037,0.797346,1.19013,1,1,0,8.43094,0.0764078 --6.75886,0.988358,1.19013,2,3,0,8.29235,0.268698 --6.75886,0.796445,1.19013,1,3,0,7.3768,0.268698 --6.75592,1,1.19013,2,3,0,6.75773,0.23451 --6.83858,0.921052,1.19013,2,3,0,7.05272,0.30553 --6.75913,0.957692,1.19013,2,3,0,6.97229,0.231682 --6.79133,0.989036,1.19013,1,1,0,6.79257,0.214469 --6.97699,0.718288,1.19013,2,3,0,7.97212,0.340191 --6.97699,0.197431,1.19013,1,1,0,8.83995,0.340191 --6.90957,1,1.19013,1,1,0,7.01025,0.325098 --6.9636,0.976764,1.19013,1,1,0,7.02691,0.337376 --7.06509,0.985276,1.19013,2,3,0,7.1502,0.357097 --7.11866,0.975991,1.19013,1,1,0,7.25154,0.366323 --8.64896,0.48067,1.19013,1,1,0,8.79187,0.526201 --6.91483,1,1.19013,2,3,0,7.88895,0.326367 --6.76832,0.650489,1.19013,2,3,0,8.0505,0.225398 --6.95169,0.879213,1.19013,2,3,0,7.35008,0.334803 --6.95169,0.315695,1.19013,1,1,0,8.30121,0.334803 --7.3867,0.910057,1.19013,2,3,0,7.45878,0.405304 --7.02906,1,1.19013,2,3,0,7.48009,0.164904 --7.85982,0.821539,1.19013,1,1,0,7.85995,0.0998093 --8.62166,0.888277,1.19013,1,1,0,8.70146,0.0702798 --6.84445,0.915271,1.19013,1,3,0,8.31456,0.197958 --6.97094,0.987001,1.19013,2,3,0,7.01224,0.33893 --7.50182,0.783744,1.19013,1,1,0,7.58144,0.419614 --7.33241,1,1.19013,2,3,0,7.6762,0.398137 --6.9032,1,1.19013,1,1,0,7.19036,0.323532 --7.60911,0.725218,1.19013,1,1,0,7.65738,0.432047 --7.04441,1,1.19013,1,1,0,7.45905,0.353344 --6.8273,0.852412,1.19013,2,3,0,7.53421,0.202559 --6.8273,0.760127,1.19013,1,3,0,7.62704,0.202559 --7.68351,0.808828,1.19013,2,3,0,8.22292,0.109254 --6.87975,1,1.19013,1,3,0,7.47569,0.189772 --6.8569,1,1.19013,2,3,0,6.90445,0.1949 --7.8801,0.769784,1.19013,1,3,0,8.02304,0.460477 --6.9868,0.978411,1.19013,1,3,0,7.92711,0.170894 --7.12643,0.963325,1.19013,1,1,0,7.17387,0.153002 --7.00639,0.941951,1.19013,2,3,0,7.75835,0.168041 --6.92171,1,1.19013,1,1,0,7.02215,0.181559 --6.93436,0.99633,1.19013,1,1,0,6.98702,0.179319 --7.1597,0.940461,1.19013,1,1,0,7.18364,0.1494 --7.59857,0.960828,1.19013,2,3,0,7.72213,0.430859 --6.75526,1,1.19013,1,3,0,7.24431,0.265242 --6.75287,0.767152,1.19013,2,3,0,7.75354,0.262436 --6.78731,0.613017,1.19013,2,3,0,8.2586,0.286082 --7.00127,0.955661,1.19013,2,3,0,7.0089,0.345111 --6.83331,0.993823,1.19013,2,3,0,7.09214,0.200888 --6.95584,0.96362,1.19013,1,1,0,6.96816,0.175713 --7.22592,0.977734,1.19013,2,3,0,7.3426,0.383116 --7.44602,0.901631,1.19013,1,1,0,7.6492,0.412817 --6.76543,1,1.19013,1,3,0,7.23252,0.227171 --6.82606,0.979919,1.19013,1,1,0,6.82736,0.202912 --6.82431,0.761758,1.19013,2,3,0,8.08168,0.300805 --6.74866,0.730173,1.19013,2,3,0,7.65286,0.245566 --6.76053,0.992451,1.19013,2,3,0,6.77746,0.270107 --9.47599,0.448536,1.19013,1,3,0,9.4763,0.582102 --9.47599,0.0841293,1.19013,1,3,0,13.127,0.582102 --8.02415,1,1.19013,2,3,0,9.34585,0.474224 --7.15839,1,1.19013,1,1,0,7.77622,0.372774 --8.18322,0.770379,1.19013,2,3,0,8.34692,0.488526 --7.12516,1,1.19013,1,1,0,7.827,0.367398 --6.86412,0.845348,1.19013,2,3,0,7.66381,0.19322 --6.86412,0.863451,1.19013,1,3,0,7.51559,0.19322 --6.75045,0.987964,1.19013,2,3,0,6.89606,0.241352 --6.92128,0.95306,1.19013,1,3,0,6.93252,0.327901 --6.92128,0.151292,1.19013,1,1,0,9.07835,0.327901 --9.2525,0.334109,1.19013,1,1,0,9.30351,0.568105 --6.7756,1,1.19013,1,3,0,8.3128,0.221436 --7.54432,0.819922,1.19013,2,3,0,7.96901,0.117801 --6.97552,1,1.19013,1,1,0,7.40525,0.172602 --6.80185,1,1.19013,1,1,0,6.92443,0.210556 --6.96673,0.95021,1.19013,1,1,0,6.96973,0.173971 --6.75014,0.989644,1.19013,1,3,0,6.91887,0.258204 --6.87967,0.962995,1.19013,1,3,0,6.88014,0.317474 --6.74907,1,1.19013,1,3,0,6.82987,0.255764 --6.80953,0.979834,1.19013,2,3,0,6.82986,0.207955 --8.09921,0.654969,1.19013,2,3,0,8.99156,0.0888766 --7.23836,1,1.19013,1,1,0,7.92931,0.141605 --6.99004,1,1.19013,2,3,0,7.15485,0.342864 --6.82163,0.981638,1.19013,2,3,0,7.12496,0.204201 --6.83875,0.994593,1.19013,1,1,0,6.86059,0.199432 --6.8102,0.948894,1.19013,2,3,0,7.0913,0.20774 --7.3709,0.850052,1.19013,2,3,0,7.84266,0.130246 --7.15876,1,1.19013,1,1,0,7.3941,0.149499 --7.01079,1,1.19013,1,1,0,7.17166,0.167419 --6.80754,1,1.19013,2,3,0,6.9509,0.208612 --6.80754,0.932262,1.19013,1,1,0,6.96931,0.208612 --6.75087,1,1.19013,1,3,0,6.78813,0.240654 --6.75992,0.74572,1.19013,2,3,0,7.95901,0.269608 --6.75992,0.809406,1.19013,1,3,0,7.33032,0.269608 --6.75433,0.780175,1.19013,2,3,0,7.6718,0.264207 --6.83713,0.967861,1.19013,1,1,0,6.83732,0.305068 --6.83713,0.0723057,1.19013,1,1,0,9.86764,0.305068 --6.86639,0.624574,1.19013,2,3,0,8.36703,0.192702 --6.77539,1,1.19013,1,1,0,6.83856,0.221544 --6.76941,1,1.19013,1,1,0,6.78,0.224757 --7.07929,0.919671,1.19013,1,3,0,7.11976,0.359607 --7.67652,0.870818,1.19013,2,3,0,7.80543,0.439482 --6.77162,1,1.19013,1,1,0,7.28661,0.27779 --6.8761,0.974745,1.19013,2,3,0,6.90761,0.190556 --6.7826,0.98383,1.19013,2,3,0,7.00706,0.218125 --7.42209,0.841449,1.19013,1,3,0,7.48353,0.409823 --6.75755,1,1.19013,1,3,0,7.14384,0.267513 --9.43847,0.40553,1.19013,2,3,0,10.4435,0.0502056 --7.00715,0.908529,1.19013,1,3,0,9.11629,0.167934 --7.09293,0.992434,1.19013,2,3,0,7.15475,0.156845 --7.55382,0.976181,1.19013,2,3,0,7.90337,0.425738 --7.07179,0.731816,1.19013,2,3,0,8.56417,0.159397 --7.8145,0.947275,1.19013,2,3,0,7.81824,0.102109 --7.37566,1,1.19013,1,1,0,7.79824,0.129871 --7.55324,0.962845,1.19013,1,1,0,7.67842,0.117219 --6.7576,0.964243,1.19013,1,3,0,7.3681,0.232969 --6.80835,0.982826,1.19013,1,1,0,6.80866,0.208345 --6.80835,0.779981,1.19013,1,3,0,7.72422,0.208345 --6.74802,0.701702,1.19013,2,3,0,8.53482,0.249846 --6.74802,0.913359,1.19013,1,3,0,6.94453,0.249846 --7.46667,0.810026,1.19013,1,3,0,7.47551,0.415362 --6.74883,1,1.19013,1,3,0,7.17801,0.255038 --6.79485,0.782623,1.19013,2,3,0,7.45746,0.289488 --6.85577,0.975222,1.19013,1,1,0,6.8702,0.310783 --6.74811,0.895596,1.19013,2,3,0,7.20844,0.24838 --7.11199,0.88437,1.19013,2,3,0,7.26075,0.15463 --6.86439,0.95564,1.19013,2,3,0,7.51427,0.193157 --6.86334,0.931218,1.19013,2,3,0,7.23155,0.193398 --7.20212,0.908603,1.19013,1,1,0,7.20552,0.145082 --7.46669,0.980368,1.19013,2,3,0,7.53959,0.123089 --7.7461,0.945671,1.19013,1,1,0,7.8655,0.105742 --8.5374,0.841712,1.19013,1,3,0,9.55312,0.517671 --6.81253,1,1.19013,1,3,0,7.99524,0.20699 --7.28423,0.864242,1.19013,2,3,0,7.74308,0.137451 --6.7543,0.982091,1.19013,1,3,0,7.14689,0.236169 --6.82676,0.980194,1.19013,1,3,0,6.83992,0.301643 --6.82676,0.289148,1.19013,1,1,0,8.28801,0.301643 --8.60411,0.444164,1.19013,1,1,0,8.6194,0.522805 --6.76514,1,1.19013,1,1,0,7.79303,0.27359 --11.3177,0.298197,1.19013,2,3,0,11.4153,0.0247915 --14.8395,0.66893,1.19013,1,3,0,14.9042,0.00726539 --9.38039,1,1.19013,2,3,0,15.0861,0.0513771 --8.68314,1,1.19013,2,3,0,9.47514,0.0684488 --7.16501,0.906941,1.19013,2,3,0,10.1736,0.148844 --7.247,0.966744,1.19013,2,3,0,8.25868,0.140802 --7.10403,1,1.19013,1,1,0,7.2859,0.155546 --7.80948,0.851392,1.19013,1,1,0,7.81725,0.102369 --6.79438,0.96647,1.19013,1,3,0,7.57336,0.213287 --7.03396,0.902369,1.19013,2,3,0,7.30148,0.351402 --6.87374,1,1.19013,2,3,0,7.00763,0.31587 --6.98422,0.98241,1.19013,2,3,0,7.02942,0.34168 --6.98422,0.206995,1.19013,1,1,0,8.79605,0.34168 --7.08988,0.953797,1.19013,1,1,0,7.18409,0.361448 --6.8439,0.768391,1.19013,2,3,0,7.83078,0.198099 --6.76078,1,1.19013,1,1,0,6.81609,0.230398 --6.93247,0.934297,1.19013,2,3,0,7.07794,0.179647 --6.95312,0.994082,1.19013,1,1,0,7.00728,0.176157 --6.83767,1,1.19013,1,1,0,6.93234,0.199718 --7.25953,0.900734,1.19013,1,3,0,7.37557,0.38801 --8.11303,0.663638,1.19013,1,1,0,8.32599,0.482321 --7.38226,1,1.19013,2,3,0,8.42526,0.129356 --6.88129,1,1.19013,1,1,0,7.24579,0.189446 --8.21786,0.71266,1.19013,1,3,0,8.38674,0.491532 --7.06479,1,1.19013,1,1,0,7.79048,0.357043 --7.24062,0.981254,1.19013,2,3,0,7.24114,0.141394 --7.24062,0.82679,1.19013,1,1,0,7.97838,0.141394 --7.50461,0.902384,1.19013,2,3,0,8.18385,0.419948 --7.24635,1,1.19013,1,1,0,7.59482,0.386109 --9.6347,0.315233,1.19013,1,1,0,9.83198,0.591621 --7.33578,1,1.19013,1,1,0,8.76008,0.398591 --6.79118,1,1.19013,1,1,0,7.10701,0.287865 --6.79118,0.654634,1.19013,1,1,0,7.33624,0.287865 --8.23139,0.526087,1.19013,1,1,0,8.23596,0.492696 --7.42232,1,1.19013,1,1,0,8.13112,0.409853 --8.11465,0.715171,1.19013,1,1,0,8.40739,0.482465 --7.00819,1,1.19013,1,1,0,7.68778,0.346472 --6.78697,0.49828,1.19013,2,3,0,8.96776,0.216242 --6.74842,1,1.19013,1,3,0,6.77428,0.246499 --7.48351,0.807417,1.19013,1,3,0,7.49562,0.417411 --6.82644,1,1.19013,1,3,0,7.37781,0.202804 --7.10033,0.924133,1.19013,2,3,0,7.26335,0.363239 --6.75524,1,1.19013,1,3,0,6.99433,0.235186 --6.872,0.655813,1.19013,2,3,0,8.12025,0.315393 --6.7501,0.871525,1.19013,2,3,0,7.31635,0.241999 --7.13779,0.904405,1.19013,1,3,0,7.16622,0.15175 --7.13779,0.906966,1.19013,1,3,0,8.02858,0.15175 --7.05312,1,1.19013,2,3,0,7.18938,0.161742 --8.26143,0.875193,1.19013,1,3,0,8.26996,0.0824386 --7.86379,1,1.19013,1,1,0,8.35133,0.0996115 --7.38943,1,1.19013,1,1,0,7.83765,0.128801 --7.16299,1,1.19013,1,1,0,7.4078,0.149055 --7.58193,0.908744,1.19013,1,1,0,7.62381,0.115381 --6.77905,0.918555,1.19013,2,3,0,7.77515,0.219755 --8.23541,0.738434,1.19013,2,3,0,8.70044,0.0834257 --7.73115,1,1.19013,1,1,0,8.26222,0.106564 --7.74216,0.997947,1.19013,1,1,0,7.98133,0.105958 --7.18461,1,1.19013,1,1,0,7.64724,0.146829 --7.18461,0.235238,1.19013,1,3,0,13.9073,0.146829 --6.9431,1,1.19013,1,1,0,7.14335,0.177822 --10.6551,0.508078,1.19013,1,3,0,11.4705,0.0315733 --8.70732,1,1.19013,1,1,0,10.4658,0.067746 --7.78885,1,1.19013,1,1,0,8.61182,0.103448 --8.14701,0.980309,1.19013,2,3,0,8.30056,0.0869071 --6.85925,0.969903,1.19013,1,3,0,7.86643,0.194347 --6.85925,0.729349,1.19013,1,3,0,7.82335,0.194347 --6.88647,0.991753,1.19013,1,1,0,6.91811,0.188364 --7.26108,0.960667,1.19013,2,3,0,7.26545,0.139515 --7.57885,0.932429,1.19013,1,1,0,7.65347,0.115576 --6.99749,1,1.19013,2,3,0,7.44029,0.16932 --6.78217,1,1.19013,1,1,0,6.92959,0.218318 --10.3679,0.468882,1.19013,1,3,0,11.4539,0.035131 --10.795,0.991279,1.19013,2,3,0,11.1702,0.0299863 --8.3165,1,1.19013,1,3,0,10.5386,0.0804026 --7.65695,1,1.19013,1,1,0,8.27716,0.110802 --7.18998,1,1.19013,1,1,0,7.5925,0.146289 --7.62933,0.956626,1.19013,2,3,0,7.7232,0.434306 --6.7504,1,1.19013,1,3,0,7.26693,0.25868 --6.76385,0.994878,1.19013,1,1,0,6.76408,0.272664 --6.76385,0.488235,1.19013,1,3,0,9.39191,0.272664 --6.74803,1,1.19013,1,3,0,6.75844,0.250471 --6.77029,0.993736,1.19013,1,3,0,6.77101,0.276979 --8.6863,0.683346,1.19013,2,3,0,8.68663,0.528994 --7.18046,1,1.19013,1,1,0,8.13419,0.376235 --8.4941,0.532136,1.19013,1,1,0,8.66709,0.514282 --6.78031,1,1.19013,1,3,0,7.89128,0.219167 --8.85633,0.56981,1.19013,1,3,0,8.92102,0.541354 --7.04541,1,1.19013,1,1,0,8.10148,0.353529 --6.89299,1,1.19013,2,3,0,7.03066,0.320958 --7.51404,0.871102,1.19013,2,3,0,7.5881,0.119814 --7.15094,0.843233,1.19013,2,3,0,8.71724,0.371588 --7.4977,0.849977,1.19013,1,1,0,7.66324,0.41912 --7.65813,0.969333,1.19013,2,3,0,7.99254,0.43748 --7.07816,1,1.19013,1,1,0,7.51505,0.359409 --6.75093,1,1.19013,1,3,0,6.94777,0.259607 --6.75093,0.515602,1.19013,1,3,0,9.13264,0.259607 --6.81906,0.888386,1.19013,2,3,0,7.18702,0.298965 --6.79859,1,1.19013,1,1,0,6.82893,0.291084 --6.8949,0.982763,1.19013,2,3,0,6.90976,0.18665 --7.07059,0.983808,1.19013,2,3,0,7.09159,0.159545 --7.07059,0.986401,1.19013,1,1,0,7.19427,0.159545 --7.90965,0.831864,1.19013,1,3,0,8.25861,0.463365 --7.83281,0.584172,1.19013,1,3,0,9.44306,0.10117 --6.88585,1,1.19013,1,3,0,7.59839,0.188492 --6.75051,0.999354,1.19013,1,3,0,6.84315,0.241246 --6.95447,0.462482,1.19013,2,3,0,9.71991,0.335409 --6.85086,1,1.19013,2,3,0,6.94577,0.309325 --6.99257,0.940802,1.19013,1,1,0,7.02688,0.343373 --6.83309,1,1.19013,1,1,0,6.95065,0.303756 --6.74807,1,1.19013,1,3,0,6.80264,0.251254 --6.74807,0.592979,1.19013,1,3,0,8.46867,0.251254 --7.09471,0.903965,1.19013,1,3,0,7.10024,0.362278 --8.47383,0.518008,1.19013,1,1,0,8.60608,0.512681 --7.02199,1,1.19013,1,1,0,7.88482,0.34914 --8.89357,0.641056,1.19013,2,3,0,8.99047,0.543985 --6.75716,1,1.19013,1,3,0,8.04788,0.233364 --6.94198,0.956233,1.19013,1,3,0,6.9445,0.178012 --6.94198,0.391958,1.19013,1,3,0,9.74459,0.178012 --6.82383,0.958009,1.19013,2,3,0,7.25427,0.203554 --6.76432,1,1.19013,2,3,0,6.81867,0.273008 --6.76162,0.768833,1.19013,2,3,0,7.47859,0.270986 --6.78235,0.538483,1.19013,2,3,0,8.80908,0.283667 --6.76288,1,1.19013,1,1,0,6.77886,0.271952 --6.75761,1,1.19013,1,1,0,6.76397,0.267568 --7.85022,0.713901,1.19013,1,3,0,8.12368,0.10029 --7.7638,1,1.19013,2,3,0,8.05683,0.104783 --6.84501,0.994711,1.19013,1,3,0,7.53426,0.197817 --7.01582,0.98357,1.19013,2,3,0,7.02649,0.166716 --6.87247,1,1.19013,1,1,0,6.99358,0.191346 --6.87247,0.539118,1.19013,1,3,0,9.75828,0.191346 --6.7971,1,1.19013,2,3,0,6.85621,0.212264 --6.84906,0.993911,1.19013,2,3,0,6.85847,0.308783 --8.83656,0.653419,1.19013,2,3,0,8.85959,0.539946 --8.83656,0.437625,1.19013,2,3,0,11.0909,0.539946 --10.3972,0.53974,1.19013,2,3,0,11.3552,0.63319 --6.77193,1,1.19013,1,1,0,8.75136,0.277975 --6.77193,0.470417,1.19013,1,3,0,9.62037,0.277975 --6.97687,0.918871,1.19013,1,1,0,6.97984,0.340166 --7.16739,0.917775,1.19013,1,1,0,7.25555,0.374196 --6.91243,0.969776,1.19013,2,3,0,7.3057,0.183265 --6.8418,1,1.19013,2,3,0,6.88955,0.306548 --8.71778,0.422187,1.19013,1,1,0,8.73831,0.531327 --7.33829,1,1.19013,1,1,0,8.29704,0.398929 --7.33829,0.320557,1.19013,1,1,0,8.78806,0.398929 --6.92244,0.971567,1.19013,1,3,0,7.44476,0.181427 --10.6393,0.545702,1.19013,2,3,0,11.0642,0.0317578 --7.38272,0.954714,1.19013,1,3,0,10.3892,0.12932 --10.0485,0.771386,1.19013,1,3,0,10.2058,0.0396288 --9.03326,1,1.19013,2,3,0,10.0793,0.0591141 --8.53615,1,1.19013,2,3,0,9.18338,0.0729348 --8.55412,0.997624,1.19013,1,1,0,8.91725,0.072366 --9.56385,0.891982,1.19013,1,1,0,9.6593,0.0477843 --10.5993,0.923649,1.19013,1,1,0,10.7511,0.0322317 --9.5571,1,1.19013,1,1,0,10.6691,0.047911 --7.07725,0.92949,1.19013,1,3,0,9.23232,0.158728 --6.97952,1,1.19013,2,3,0,7.04698,0.340715 --6.80075,1,1.19013,2,3,0,6.91725,0.291977 --6.75717,1,1.19013,2,3,0,6.78493,0.267156 --6.7491,0.998996,1.19013,2,3,0,6.76196,0.244235 --6.75349,0.996995,1.19013,2,3,0,6.76189,0.23708 --6.75349,0.466939,1.19013,1,3,0,8.37639,0.23708 --7.12376,0.911707,1.19013,1,3,0,7.14333,0.153299 --9.82982,0.666917,1.19013,1,3,0,10.085,0.0430898 --11.1124,0.916809,1.19013,1,1,0,11.224,0.0267039 --9.70019,1,1.19013,1,1,0,11.0964,0.0453067 --9.70019,0.916098,1.19013,1,1,0,10.9566,0.0453067 --6.76681,0.755084,1.19013,1,3,0,9.75898,0.274735 --6.83393,0.973402,1.19013,1,1,0,6.83765,0.30403 --7.0441,0.958377,1.19013,2,3,0,7.0749,0.162908 --7.25107,0.948748,1.19013,1,1,0,7.30097,0.140428 --7.64974,0.916622,1.19013,1,1,0,7.70912,0.111229 --6.96474,1,1.19013,2,3,0,7.4338,0.337619 --6.83075,1,1.19013,1,1,0,6.93381,0.302986 --7.92303,0.61139,1.19013,1,1,0,7.94072,0.46466 --7.43505,1,1.19013,2,3,0,7.72426,0.12537 --7.42205,1,1.19013,1,1,0,7.60893,0.12633 --8.06273,0.883491,1.19013,1,1,0,8.11142,0.0904239 --8.55174,0.88768,1.19013,2,3,0,10.0813,0.0724408 --13.5066,0.590005,1.19013,1,3,0,15.6878,0.755153 --9.67322,0.837411,1.19013,2,3,0,15.7971,0.0457845 --8.42091,1,1.19013,2,3,0,9.5763,0.0767294 --6.75087,0.843637,1.19013,2,3,0,8.39718,0.259513 --6.8154,0.979727,1.19013,2,3,0,6.83223,0.206088 --6.87434,0.981689,1.19013,1,1,0,6.88865,0.190936 --7.70352,0.873079,1.19013,1,3,0,7.71251,0.108111 --8.15829,0.923966,1.19013,1,1,0,8.27754,0.0864513 --8.29447,0.918404,1.19013,2,3,0,9.92484,0.0812085 --8.55719,0.964017,1.19013,1,1,0,8.80716,0.0722695 --7.21001,1,1.19013,1,3,0,8.28687,0.144309 --7.66064,0.954621,1.19013,2,3,0,7.74973,0.437754 --6.96325,0.387172,1.19013,2,3,0,10.6763,0.174522 --8.43876,0.795596,1.19013,1,3,0,8.4899,0.0761245 --7.44272,0.93911,1.19013,2,3,0,9.1688,0.412407 --6.90457,0.978995,1.19013,1,3,0,7.48757,0.184756 --6.90457,0.549092,1.19013,1,3,0,8.66835,0.184756 --6.90457,0.933799,1.19013,1,1,0,7.09881,0.184756 --7.35368,0.88608,1.19013,1,1,0,7.35671,0.131617 --6.76888,0.999245,1.19013,2,3,0,7.29132,0.276089 --6.76513,1,1.19013,1,1,0,6.77359,0.273586 --6.77173,0.997416,1.19013,1,1,0,6.77765,0.277852 --6.77173,0.658108,1.19013,1,1,0,7.3206,0.277852 --6.76254,1,1.19013,2,3,0,6.76866,0.229115 --7.40563,0.859937,1.19013,1,3,0,7.44535,0.127562 --7.40563,0.914942,1.19013,1,1,0,7.8373,0.127562 --7.96641,0.895413,1.19013,1,1,0,8.02438,0.0947054 --7.07003,0.95902,1.19013,2,3,0,8.53811,0.159615 --7.0936,0.99795,1.19013,2,3,0,7.18448,0.156766 --8.01777,0.812205,1.19013,1,1,0,8.01799,0.0923859 --7.67844,0.929779,1.19013,2,3,0,8.96205,0.43969 --7.22748,0.896138,1.19013,1,3,0,8.20064,0.14263 --7.52428,0.958376,1.19013,2,3,0,7.53053,0.422283 --6.809,1,1.19013,1,1,0,7.22073,0.295246 --6.75366,0.912661,1.19013,2,3,0,7.10674,0.263428 --6.74894,1,1.19013,1,1,0,6.75197,0.255372 --6.75348,0.99829,1.19013,1,1,0,6.75358,0.263212 --6.74806,0.730044,1.19013,2,3,0,7.95958,0.248847 --7.22874,0.871382,1.19013,2,3,0,7.47255,0.14251 --7.57429,0.92586,1.19013,1,1,0,7.63832,0.115865 --8.30817,0.959268,1.19013,2,3,0,8.36169,0.0807061 --8.16504,1,1.19013,1,1,0,8.55579,0.0861801 --8.50814,0.951428,1.19013,1,1,0,8.71802,0.0738334 --8.10473,1,1.19013,1,1,0,8.63456,0.088646 --8.23763,0.917773,1.19013,2,3,0,9.83958,0.0833408 --6.76267,1,1.19013,2,3,0,7.96027,0.271794 --7.55814,0.775707,1.19013,1,3,0,7.75933,0.116901 --6.81655,0.732004,1.19013,2,3,0,10.1701,0.205734 --7.06361,0.884859,1.19013,2,3,0,7.46816,0.356832 --6.9668,1,1.19013,2,3,0,7.01968,0.17396 --6.82455,1,1.19013,1,1,0,6.93227,0.203346 --6.77933,1,1.19013,1,1,0,6.81528,0.219624 --6.78496,0.961342,1.19013,2,3,0,6.93368,0.217095 --6.91073,0.9426,1.19013,2,3,0,7.07917,0.325379 --6.75272,1,1.19013,1,3,0,6.84799,0.262246 --7.29789,0.848864,1.19013,1,3,0,7.29897,0.393419 --6.95392,0.921898,1.19013,2,3,0,7.72217,0.176025 --6.79964,1,1.19013,2,3,0,6.92348,0.29152 --6.74911,0.975535,1.19013,2,3,0,6.88162,0.255874 --7.90403,0.715623,1.19013,1,3,0,8.1411,0.0976423 --6.76291,0.936944,1.19013,1,3,0,7.67309,0.228856 --6.78449,0.992659,1.19013,1,1,0,6.78741,0.217297 --7.09075,0.937145,1.19013,1,3,0,7.0916,0.157103 --7.09075,0.926377,1.19013,1,1,0,7.37339,0.157103 --6.866,0.968235,1.19013,2,3,0,7.45183,0.192791 --6.77265,1,1.19013,1,1,0,6.83674,0.222967 --7.1173,0.911349,1.19013,1,3,0,7.16242,0.366097 --7.08247,1,1.19013,1,1,0,7.24303,0.360162 --6.85379,0.942144,1.19013,2,3,0,7.35469,0.195646 --7.22881,0.898943,1.19013,1,1,0,7.23014,0.142503 --7.02432,1,1.19013,2,3,0,7.15983,0.349584 --7.02432,0.680352,1.19013,1,1,0,7.5638,0.349584 --6.84696,1,1.19013,1,1,0,6.97935,0.308144 --6.75378,0.85154,1.19013,2,3,0,7.27591,0.236744 --6.75462,0.733597,1.19013,2,3,0,8.06211,0.264536 --7.16355,0.884214,1.19013,1,3,0,7.16385,0.373592 --9.48183,0.32745,1.19013,1,1,0,9.64127,0.582458 --8.80595,1,1.19013,1,1,0,10.121,0.537752 --8.90428,0.953152,1.19013,1,1,0,9.87948,0.544737 --7.51712,0.392653,1.19013,2,3,0,11.9179,0.119606 --7.00875,1,1.19013,1,1,0,7.40185,0.167706 --6.80805,1,1.19013,2,3,0,6.94982,0.208444 --6.98906,0.946017,1.19013,1,1,0,6.99227,0.170558 --7.75152,0.829773,1.19013,1,1,0,7.75162,0.105447 --7.90395,0.904477,1.19013,1,3,0,8.91793,0.46281 --7.64159,1,1.19013,2,3,0,8.17951,0.435663 --6.77276,1,1.19013,1,3,0,7.36858,0.222905 --6.79286,0.993271,1.19013,1,1,0,6.79892,0.213868 --7.83602,0.754715,1.19013,1,3,0,7.91205,0.456098 --6.9309,1,1.19013,1,1,0,7.4778,0.330142 --6.77592,1,1.19013,1,1,0,6.87187,0.280269 --11.7976,0.253809,1.19013,2,3,0,11.8578,0.0208742 --6.83929,1,1.19013,2,3,0,10.2599,0.305755 --6.75179,0.834688,1.19013,2,3,0,7.31617,0.239254 --6.77567,0.989171,1.19013,2,3,0,6.80018,0.280134 --6.77229,0.909705,1.19013,2,3,0,7.10029,0.278189 --6.74806,1,1.19013,1,3,0,6.76447,0.248938 --7.3399,0.841314,1.19013,1,3,0,7.34898,0.399145 --6.81999,1,1.19013,1,1,0,7.12813,0.299296 --8.24907,0.523912,1.19013,1,1,0,8.26245,0.494209 --7.78627,1,1.19013,2,3,0,8.49483,0.451051 --6.79955,1,1.19013,1,1,0,7.35727,0.291483 --6.75177,1,1.19013,2,3,0,6.78107,0.26093 --6.9334,0.940981,1.19013,2,3,0,7.03434,0.179485 --7.27955,0.881851,1.19013,2,3,0,7.95479,0.137863 --7.36256,0.981191,1.19013,1,1,0,7.48979,0.130906 --6.86341,1,1.19013,1,1,0,7.22398,0.193381 --6.74822,0.996622,1.19013,1,3,0,6.83285,0.252467 --6.83034,0.936377,1.19013,2,3,0,6.99619,0.302849 --6.89848,0.971675,1.19013,1,1,0,6.92709,0.322353 --7.65716,0.707829,1.19013,1,1,0,7.7031,0.437374 --7.2994,1,1.19013,2,3,0,7.50556,0.136133 --7.74748,0.914989,1.19013,1,3,0,8.31285,0.447033 --7.24337,1,1.19013,1,1,0,7.71507,0.385676 --6.97302,1,1.19013,1,1,0,7.20546,0.339365 --7.54559,0.890505,1.19013,2,3,0,7.58867,0.117718 --9.80917,0.897148,1.19013,1,3,0,9.86316,0.0434342 --9.80917,0.917851,1.19013,1,1,0,11.0925,0.0434342 --6.74891,0.753514,1.19013,2,3,0,10.2568,0.255285 --8.99865,0.544731,1.19013,1,3,0,9.66536,0.059962 --9.83543,0.92192,1.19013,1,1,0,9.99917,0.0429967 --8.029,1,1.19013,1,1,0,9.59713,0.09189 --6.74906,0.876897,1.19013,2,3,0,8.07239,0.244326 --7.13618,0.877066,1.19013,2,3,0,7.30964,0.151925 --6.8839,1,1.19013,2,3,0,7.07667,0.188898 --7.02751,0.959487,1.19013,1,1,0,7.04961,0.165113 --7.01145,1,1.19013,1,1,0,7.10016,0.167326 --6.74911,0.993236,1.19013,1,3,0,6.93818,0.244208 --6.74919,0.99999,1.19013,2,3,0,6.74958,0.243984 --6.82958,0.749673,1.19013,2,3,0,7.62888,0.302595 --6.76123,1,1.19013,1,1,0,6.80428,0.270677 --6.76123,0.512236,1.19013,1,3,0,9.10401,0.270677 --6.77457,0.834649,1.19013,2,3,0,7.40726,0.279513 --9.20444,0.551276,1.19013,2,3,0,9.41989,0.0551326 --7.16857,1,1.19013,1,3,0,8.87156,0.148473 --6.78721,1,1.19013,1,3,0,7.05417,0.216141 --8.11069,0.739215,1.19013,1,3,0,8.23891,0.0883978 --7.17244,1,1.19013,1,1,0,7.91175,0.148073 --6.86496,1,1.19013,2,3,0,7.08973,0.313428 --6.7501,1,1.19013,1,3,0,6.82042,0.258123 --6.75108,0.989218,1.19013,2,3,0,6.78082,0.25986 --6.75108,0.305632,1.19013,1,3,0,9.14758,0.25986 --6.78407,0.771583,1.19013,2,3,0,7.4872,0.284519 --7.07871,0.883232,1.19013,1,1,0,7.08432,0.359505 --7.11448,0.983883,1.19013,1,1,0,7.25429,0.365626 --6.7603,1,1.19013,1,3,0,7.01473,0.230761 --6.78671,0.99641,1.19013,2,3,0,6.78856,0.216348 --7.0555,0.508738,1.19013,2,3,0,9.33499,0.35537 --6.80372,0.935196,1.19013,2,3,0,7.29531,0.209904 --7.92901,0.77575,1.19013,2,3,0,8.44068,0.0964499 --7.85753,1,1.19013,1,1,0,8.15962,0.0999237 --6.74842,0.917011,1.19013,1,3,0,7.67919,0.253518 --8.53864,0.607241,1.19013,1,3,0,8.98813,0.0728556 --7.5249,1,1.19013,1,1,0,8.37776,0.119085 --6.98161,0.953271,1.19013,2,3,0,8.07169,0.171675 --6.76244,1,1.19013,1,3,0,6.91202,0.229182 --7.26147,0.863869,1.19013,2,3,0,7.59984,0.13948 --6.74994,0.951966,1.19013,2,3,0,7.29513,0.24232 --6.7957,0.955755,1.19013,2,3,0,6.90652,0.289854 --6.74893,0.73628,1.19013,2,3,0,7.61124,0.255367 --7.12652,0.882322,1.19013,2,3,0,7.25505,0.152991 --7.61755,0.981746,1.19013,2,3,0,7.96806,0.432992 --7.13418,1,1.19013,1,1,0,7.5461,0.36888 --7.1427,0.604963,1.19013,2,3,0,8.5863,0.151215 --7.65527,0.981312,1.19013,2,3,0,8.0506,0.437167 --7.6992,0.978956,1.19013,1,1,0,8.1116,0.441925 --7.2449,1,1.19013,1,1,0,7.69203,0.385899 --7.63515,0.916869,1.19013,2,3,0,7.84476,0.43495 --7.31883,1,1.19013,1,1,0,7.73034,0.396297 --6.75682,1,1.19013,1,3,0,7.08528,0.266821 --6.75682,0.583427,1.19013,1,3,0,8.46623,0.266821 --8.31511,0.627512,1.19013,1,3,0,8.75477,0.0804532 --8.61316,0.908672,1.19013,2,3,0,10.2956,0.0705379 --8.12699,1,1.19013,1,1,0,8.71075,0.0877242 --9.76956,0.810794,1.19013,1,1,0,9.77384,0.0441042 --6.75614,1,1.19013,2,3,0,9.02845,0.26615 --6.74815,0.991152,1.19013,2,3,0,6.78145,0.252041 --6.74815,0.93428,1.19013,1,3,0,6.93006,0.252041 --6.74834,0.9993,1.19013,2,3,0,6.75026,0.253157 --7.28626,0.862908,1.19013,2,3,0,7.52588,0.137274 --7.65773,0.92313,1.19013,1,1,0,7.72752,0.110756 --8.00167,0.979909,1.19013,2,3,0,8.13851,0.0931037 --6.8893,0.892313,1.19013,2,3,0,8.59621,0.187782 --7.29806,0.894017,1.19013,1,1,0,7.30126,0.136249 --7.20595,1,1.19013,1,1,0,7.38469,0.144705 --6.75064,0.972722,1.19013,1,3,0,7.11439,0.259116 --6.80306,0.949185,1.19013,2,3,0,6.94182,0.292916 --7.60787,0.82245,1.19013,2,3,0,7.76263,0.113762 --7.47384,1,1.19013,1,1,0,7.7355,0.122584 --8.1932,0.958114,1.19013,2,3,0,8.23753,0.0850627 --9.15424,0.88102,1.19013,1,1,0,9.23103,0.0562649 --6.82246,0.996752,1.19013,2,3,0,8.97628,0.203956 --7.08594,0.929508,1.19013,2,3,0,7.22628,0.360766 --6.7841,1,1.19013,1,1,0,6.96421,0.284534 --6.74827,0.995233,1.19013,2,3,0,6.79974,0.24721 --6.8027,0.984728,1.19013,1,3,0,6.80578,0.292772 --6.74857,1,1.19013,1,3,0,6.78253,0.254167 --6.77237,0.991992,1.19013,2,3,0,6.78062,0.223116 --7.11424,0.912008,1.19013,1,3,0,7.15897,0.365586 --6.76452,1,1.19013,1,1,0,6.96971,0.273153 --12.0269,0.237351,1.19013,1,3,0,12.0297,0.704664 --8.35491,1,1.19013,2,3,0,10.9729,0.503076 --7.02337,0.996139,1.19013,1,3,0,8.3082,0.165675 --7.99032,0.895424,1.19013,1,3,0,7.99148,0.0936148 --7.49109,1,1.19013,1,1,0,7.97519,0.121381 --7.76007,0.982715,1.19013,2,3,0,7.88611,0.104984 --7.13037,1,1.19013,1,1,0,7.63285,0.152564 --7.92236,0.838423,1.19013,1,1,0,7.92764,0.0967653 --6.74958,0.919759,1.19013,1,3,0,7.71556,0.24306 --6.82958,0.96843,1.19013,2,3,0,6.88421,0.201918 --6.74854,0.997483,1.19013,1,3,0,6.80893,0.254037 --6.9096,0.941402,1.19013,2,3,0,7.02185,0.183796 --7.8711,0.799851,1.19013,2,3,0,8.53372,0.0992496 --8.68064,0.960965,1.19013,2,3,0,8.75365,0.0685221 --6.94067,1,1.19013,2,3,0,8.1256,0.332362 --7.03786,0.570057,1.19013,2,3,0,8.64576,0.163728 --6.83603,1,1.19013,2,3,0,6.98469,0.200154 --7.10042,0.64641,1.19013,2,3,0,8.49591,0.363253 --10.2708,0.496704,1.19013,2,3,0,10.3937,0.626731 --8.3887,0.941614,1.19013,2,3,0,11.591,0.0778376 --8.8295,0.944153,1.19013,1,1,0,9.03962,0.0643333 --8.42542,1,1.19013,1,1,0,9.00184,0.0765757 --9.71719,0.860969,1.19013,1,1,0,9.76141,0.0450084 --6.88205,0.962354,1.19013,2,3,0,10.0108,0.318108 --8.53104,0.465858,1.19013,1,1,0,8.56763,0.517176 --6.84132,1,1.19013,1,1,0,7.77735,0.306398 --7.45727,0.760533,1.19013,1,1,0,7.48065,0.414207 --7.02342,0.742741,1.19013,2,3,0,8.40035,0.165668 --8.11493,0.792857,1.19013,2,3,0,8.90112,0.0882219 --8.11493,0.791961,1.19013,1,1,0,9.72121,0.0882219 --7.18199,1,1.19013,1,1,0,7.91868,0.147095 --6.75205,0.973442,1.19013,1,3,0,7.09874,0.261328 --6.98892,0.926918,1.19013,2,3,0,7.11175,0.170579 --7.06959,0.823688,1.19013,2,3,0,8.05873,0.357897 --6.8135,0.973968,1.19013,2,3,0,7.16156,0.206682 --7.02645,0.762783,1.19013,2,3,0,7.86018,0.349988 --6.87794,1,1.19013,2,3,0,7.01635,0.190159 --6.85356,1,1.19013,1,1,0,6.90089,0.195702 --6.75011,0.999908,1.19013,1,3,0,6.82021,0.241986 --6.75011,0.612177,1.19013,1,3,0,8.38742,0.241986 --6.83616,0.757943,1.19013,2,3,0,7.60437,0.304755 --6.83616,0.594527,1.19013,1,1,0,7.48579,0.304755 --7.26694,0.827716,1.19013,1,1,0,7.28981,0.389069 --7.26694,0.410825,1.19013,1,1,0,8.42678,0.389069 --6.75106,1,1.19013,1,3,0,7.05811,0.259827 --6.76085,0.956931,1.19013,2,3,0,6.87503,0.270372 --6.75545,1,1.19013,1,1,0,6.76107,0.265436 --6.81251,0.983219,1.19013,2,3,0,6.83918,0.206998 --7.31535,0.907402,1.19013,1,3,0,7.31842,0.134773 --9.25677,0.670582,1.19013,1,3,0,9.85216,0.568379 --6.93569,1,1.19013,2,3,0,8.21992,0.331236 --6.83221,1,1.19013,2,3,0,6.92988,0.201189 --7.01151,0.947802,1.19013,1,1,0,7.019,0.167318 --7.29914,0.885034,1.19013,2,3,0,7.8737,0.393592 --6.85244,1,1.19013,1,1,0,7.13076,0.309796 --6.85244,0.700058,1.19013,1,1,0,7.31567,0.309796 --6.77992,0.99947,1.19013,2,3,0,6.87511,0.219346 --7.38218,0.849681,1.19013,1,3,0,7.44011,0.404718 --7.58161,0.909161,1.19013,1,1,0,7.85976,0.428934 --6.81112,1,1.19013,2,3,0,7.2531,0.296051 --7.09958,0.883612,1.19013,1,1,0,7.1146,0.363111 --8.66292,0.653142,1.19013,2,3,0,8.71713,0.069044 --8.70252,0.838436,1.19013,1,3,0,10.7082,0.530198 --6.86969,1,1.19013,1,3,0,8.22007,0.191961 --9.66244,0.651885,1.19013,2,3,0,10.1597,0.0459772 --9.67897,0.99858,1.19013,1,1,0,10.163,0.0456822 --8.85108,1,1.19013,1,1,0,9.74875,0.0637535 --9.10615,0.971844,1.19013,1,1,0,9.42363,0.0573765 --10.0274,0.918489,1.19013,1,1,0,10.1787,0.0399486 --7.37823,1,1.19013,1,3,0,9.71162,0.12967 --6.76659,0.984162,1.19013,1,3,0,7.21673,0.226444 --7.15504,0.914693,1.19013,1,3,0,7.16486,0.149893 --7.17936,0.840291,1.19013,2,3,0,8.24989,0.376066 --6.77631,1,1.19013,1,1,0,7.01192,0.280489 --6.79577,0.469145,1.19013,2,3,0,9.5918,0.289884 --6.74861,0.793442,1.19013,2,3,0,7.40334,0.254287 --7.52015,0.822794,1.19013,2,3,0,7.7952,0.119403 --7.03601,1,1.19013,1,1,0,7.41781,0.163973 --7.46326,0.900208,1.19013,1,1,0,7.48419,0.123332 --6.75792,0.980143,1.19013,2,3,0,7.559,0.232695 --6.86759,0.827784,1.19013,2,3,0,7.38985,0.31417 --6.86759,0.954785,1.19013,1,1,0,6.9712,0.31417 --6.75429,1,1.19013,1,1,0,6.82271,0.264163 --6.76362,0.996409,1.19013,1,1,0,6.76523,0.2725 --6.76362,0.519092,1.19013,1,1,0,7.60945,0.2725 --8.20613,0.640456,1.19013,1,3,0,8.63514,0.0845562 --8.83378,0.917813,1.19013,1,1,0,8.97696,0.0642177 --7.08252,1,1.19013,1,3,0,8.51057,0.158089 --7.48253,0.970165,1.19013,2,3,0,7.64928,0.417292 --6.74996,1,1.19013,1,3,0,7.20956,0.242269 --6.83865,0.953674,1.19013,2,3,0,6.94922,0.199458 --7.02286,0.957914,1.19013,2,3,0,7.18232,0.349306 --6.77392,0.996821,1.19013,1,3,0,6.98137,0.222298 --6.75924,1,1.19013,2,3,0,6.77123,0.231596 --7.20344,0.899164,1.19013,1,3,0,7.2236,0.144952 --7.26029,0.986454,1.19013,1,1,0,7.37639,0.139586 --7.97099,0.841059,1.19013,2,3,0,8.9752,0.0944947 --6.9628,0.965296,1.19013,2,3,0,8.38786,0.174594 --7.00853,0.995775,1.19013,2,3,0,7.06626,0.167737 --7.29447,0.972304,1.19013,2,3,0,7.3739,0.392944 --6.95563,0.950308,1.19013,2,3,0,7.64408,0.175746 --7.11516,0.957526,1.19013,1,1,0,7.15217,0.154268 --6.84526,0.958158,1.19013,2,3,0,7.48104,0.197753 --6.84526,0.642804,1.19013,1,3,0,8.65324,0.197753 --6.75915,0.721564,1.19013,2,3,0,8.44644,0.268947 --7.40313,0.813008,1.19013,2,3,0,7.56886,0.127752 --7.31568,1,1.19013,1,1,0,7.51761,0.134746 --8.40574,0.936123,1.19013,2,3,0,8.40834,0.0772485 --7.79667,1,1.19013,1,1,0,8.40676,0.103037 --9.11961,0.818639,1.19013,1,1,0,9.13014,0.0570628 --7.916,1,1.19013,1,1,0,8.97106,0.0970683 --9.47474,0.802845,1.19013,1,1,0,9.47779,0.0494904 --6.75747,0.765644,1.19013,2,3,0,9.66349,0.267444 --6.93082,0.932545,1.19013,1,1,0,6.931,0.330124 --6.93082,0.343652,1.19013,1,1,0,8.18667,0.330124 --6.77759,0.79395,1.19013,2,3,0,7.54976,0.220454 --8.00499,0.669903,1.19013,2,3,0,8.72154,0.0929547 --6.96584,1,1.19013,1,3,0,7.7593,0.174111 --6.84493,1,1.19013,1,1,0,6.94491,0.197836 --7.11209,0.902963,1.19013,2,3,0,7.53261,0.154618 --7.34709,0.944563,1.19013,1,1,0,7.40691,0.132149 --6.76153,0.954634,1.19013,1,3,0,7.26217,0.270914 --6.74828,1,1.19013,1,3,0,6.75664,0.252873 --7.59781,0.785187,1.19013,1,3,0,7.73915,0.114385 --8.62506,0.839591,1.19013,1,1,0,8.647,0.0701769 --7.0755,1,1.19013,1,3,0,8.31774,0.158942 --7.54154,0.894689,1.19013,1,1,0,7.56448,0.117983 --6.76948,0.977771,1.19013,2,3,0,7.66794,0.224719 --7.14319,0.882068,1.19013,2,3,0,7.47189,0.151162 --8.16539,0.801406,1.19013,1,1,0,8.16544,0.0861661 --6.78871,1,1.19013,2,3,0,7.86142,0.286737 --7.54559,0.71934,1.19013,1,1,0,7.55034,0.424781 --7.53233,1,1.19013,1,1,0,7.89281,0.42323 --6.97995,0.96522,1.19013,1,3,0,7.67698,0.171926 --6.74933,0.981808,1.19013,2,3,0,6.96873,0.256433 --6.76388,0.994608,1.19013,2,3,0,6.77374,0.228189 --7.54638,0.830454,1.19013,1,3,0,7.60452,0.117666 --7.53433,1,1.19013,1,1,0,7.74442,0.118458 --7.17228,1,1.19013,1,1,0,7.50276,0.148089 --7.29225,0.971575,1.19013,1,1,0,7.38696,0.136751 --7.01531,1,1.19013,2,3,0,7.19826,0.347857 +# 0.567537 +-6.80017,0.96223506,0.76613686,2,3,0,7.2971456,0.21115047 +-7.037394,0.91182695,0.76613686,2,3,0,7.5712789,0.16378946 +-7.0172443,1,0.76613686,1,1,0,7.069534,0.16651798 +-7.2281083,0.97241511,0.76613686,1,1,0,7.2295626,0.14256998 +-7.1113314,1,0.76613686,1,1,0,7.2344563,0.15470507 +-6.7995191,0.99682591,0.76613686,2,7,0,7.0708974,0.29146943 +-6.7916924,1,0.76613686,2,7,0,6.797846,0.21432552 +-6.9157835,0.98410831,0.76613686,2,3,0,6.966609,0.18264223 +-6.9176538,0.94475061,0.76613686,1,3,0,7.5001509,0.3270426 +-6.7596308,0.98229716,0.76613686,1,3,0,7.0529634,0.23128328 +-7.5870917,0.90268453,0.76613686,2,3,0,7.5962044,0.11505572 +-7.2117035,1,0.76613686,1,1,0,7.5438251,0.14414422 +-7.5238569,0.96430021,0.76613686,1,1,0,7.5265495,0.11915473 +-7.1943495,1,0.76613686,1,1,0,7.4863999,0.14585163 +-8.5994185,0.89322736,0.76613686,2,3,0,8.7404473,0.070957842 +-8.5593766,1,0.76613686,1,1,0,8.7694095,0.072200655 +-8.3182191,1,0.76613686,1,1,0,8.6285956,0.080340182 +-8.9812271,0.95719136,0.76613686,2,3,0,9.5770648,0.06039453 +-9.2515113,0.97547809,0.76613686,2,3,0,10.110521,0.054096033 +-9.7009962,0.9788034,0.76613686,1,1,0,9.7751516,0.045292459 +-9.7684203,0.9971257,0.76613686,1,1,0,9.9898883,0.044123619 +-9.0537058,1,0.76613686,1,1,0,9.7515951,0.058620188 +-7.3022158,0.9701021,0.76613686,2,3,0,10.081354,0.13589083 +-6.8814023,0.92775613,0.76613686,1,3,0,8.2382469,0.3179362 +-6.7485777,0.99412935,0.76613686,1,3,0,6.9317195,0.24584748 +-6.7968866,0.93689253,0.76613686,2,3,0,7.3071796,0.29036343 +-7.091575,0.87942867,0.76613686,1,3,0,7.6340517,0.15700573 +-6.8133744,0.95582443,0.76613686,1,3,0,7.6019179,0.29689605 +-6.7487483,0.99619229,0.76613686,1,3,0,6.8444226,0.24525533 +-6.7581261,0.99604237,0.76613686,2,3,0,6.7813565,0.26804383 +-6.7489904,0.99802077,0.76613686,2,3,0,6.7765387,0.24452524 +-6.7993094,0.94101521,0.76613686,2,3,0,7.273942,0.29138232 +-6.7993094,0.7129261,0.76613686,1,3,0,8.6902128,0.29138232 +-6.7855231,0.98072003,0.76613686,1,3,0,6.9481568,0.21685189 +-7.2028627,0.88376936,0.76613686,2,3,0,7.770525,0.14500848 +-6.8188929,0.94795246,0.76613686,1,3,0,7.8380701,0.2989041 +-7.0896252,0.96564508,0.76613686,2,7,0,7.11808,0.15723741 +-7.1493674,0.99741576,0.76613686,2,3,0,7.1818469,0.15049735 +-6.8038878,0.99332557,0.76613686,3,7,0,7.150201,0.20984704 +-7.0280809,0.93384959,0.76613686,1,3,0,7.4148783,0.35029693 +-6.8589842,1,0.76613686,1,1,0,6.9920233,0.31171956 +-6.8310642,0.98693524,0.76613686,2,3,0,6.9962422,0.3030889 +-6.8310642,0.82180659,0.76613686,1,3,0,7.9396034,0.3030889 +-6.960294,0.91122289,0.76613686,1,3,0,7.4446874,0.17499374 +-6.7531032,0.99350506,0.76613686,1,3,0,7.0045971,0.23754196 +-8.9269927,0.78247636,0.76613686,2,7,0,8.9395186,0.061766438 +-6.9272419,0.92937043,0.76613686,1,3,0,9.6501915,0.18056735 +-6.987234,0.99133208,0.76613686,1,1,0,6.9996605,0.17082938 +-7.6472862,0.94052236,0.76613686,2,3,0,7.7939293,0.11137444 +-7.4299828,1,0.76613686,1,1,0,7.6536138,0.12574232 +-8.097968,0.94536967,0.76613686,2,3,0,8.4338547,0.088928705 +-8.3127483,0.98342931,0.76613686,1,1,0,8.3924594,0.080539066 +-8.1432389,1,0.76613686,1,1,0,8.3963459,0.087060015 +-8.0959112,1,0.76613686,1,1,0,8.2757215,0.089014982 +-7.6897305,1,0.76613686,1,1,0,8.0735491,0.10889615 +-6.9343827,0.89858028,0.76613686,1,3,0,9.2286525,0.33093871 +-6.7481205,1,0.76613686,2,3,0,6.910625,0.24824558 +-6.7481205,0.87286779,0.76613686,1,3,0,7.5880514,0.24824558 +-6.748065,1,0.76613686,2,3,0,6.7481103,0.24883802 +-6.9990876,0.94935836,0.76613686,1,3,0,7.1110036,0.34467734 +-6.9546371,1,0.76613686,2,7,0,6.9876598,0.17590853 +-8.1589845,0.91964619,0.76613686,2,7,0,8.1637098,0.48640158 +-6.7575785,1,0.76613686,2,3,0,8.0069099,0.23298977 +-6.8150053,0.97329441,0.76613686,2,3,0,7.0056199,0.29749751 +-6.856832,0.99120814,0.76613686,1,1,0,6.8618603,0.31109326 +-6.7544061,1,0.76613686,2,3,0,6.8374781,0.2360556 +-7.2758172,0.93812691,0.76613686,2,3,0,7.2864307,0.13819391 +-7.2416159,0.91647995,0.76613686,2,3,0,8.5308544,0.1413014 +-7.1803586,1,0.76613686,1,1,0,7.2769092,0.14726136 +-6.7482844,0.98383337,0.76613686,1,3,0,7.3786206,0.2471423 +-6.8270439,0.98251484,0.76613686,1,3,0,6.8711756,0.30174048 +-7.1860585,0.84667223,0.76613686,2,7,0,7.9540784,0.14668335 +-7.3132846,0.99489117,0.76613686,2,3,0,7.3398014,0.1349483 +-8.0847794,0.93796767,0.76613686,2,7,0,8.2635443,0.47977685 +-9.3897247,0.89420851,0.76613686,3,7,0,9.4932559,0.57678457 +-7.6396733,1,0.76613686,1,1,0,8.9656267,0.43545115 +-7.8940514,0.93908836,0.76613686,1,1,0,8.0445927,0.46184458 +-8.3087507,0.98039871,0.76613686,2,7,0,8.3161759,0.080684822 +-6.8459176,0.94780704,0.76613686,1,3,0,8.7842115,0.19758645 +-6.7874348,0.97997148,0.76613686,1,3,0,7.0459382,0.28613853 +-6.842813,0.98617215,0.76613686,2,3,0,6.9199448,0.3068639 +-6.8497203,0.95411274,0.76613686,1,3,0,7.204179,0.19663821 +-6.7587216,0.99840557,0.76613686,3,7,0,6.8514032,0.23201816 +-6.9564843,0.98226191,0.76613686,2,3,0,6.957065,0.33584721 +-6.799772,0.8079925,0.76613686,2,3,0,8.4944237,0.21129296 +-6.9633956,0.77792775,0.76613686,2,3,0,9.37642,0.33733244 +-6.8016366,0.95802402,0.76613686,1,3,0,7.2845724,0.21063043 +-6.8687945,0.96675983,0.76613686,2,7,0,7.1248833,0.31450554 +-6.9609665,0.90264632,0.76613686,1,3,0,7.5418701,0.17488598 +-7.3171333,0.96125659,0.76613686,2,3,0,7.4791785,0.13462367 +-7.1161578,1,0.76613686,1,1,0,7.2998933,0.15415552 +-6.9498572,1,0.76613686,2,3,0,7.094081,0.1766934 +-7.0693447,0.98330292,0.76613686,1,1,0,7.0745581,0.15969959 +-7.2750001,0.97394893,0.76613686,1,1,0,7.2793815,0.13826648 +-7.6084316,0.96328183,0.76613686,1,1,0,7.6120231,0.11372724 +-7.4830776,1,0.76613686,1,1,0,7.6514977,0.12193749 +-7.1914249,1,0.76613686,2,3,0,7.4519462,0.14614381 +-7.5414911,0.96470422,0.76613686,3,7,0,7.7598332,0.42430353 +-6.7759041,0.94947107,0.76613686,1,3,0,7.9799963,0.22128438 +-8.6188197,0.65496656,0.76613686,1,3,0,10.013181,0.070365832 # -# Elapsed Time: 0.010783 seconds (Warm-up) -# 0.026063 seconds (Sampling) -# 0.036846 seconds (Total) +# Elapsed Time: 0.001 seconds (Warm-up) +# 0 seconds (Sampling) +# 0.001 seconds (Total) # diff --git a/test/data/runset-bad/bad-cols-bern-1_config.json b/test/data/runset-bad/bad-cols-bern-1_config.json new file mode 100644 index 00000000..f832a226 --- /dev/null +++ b/test/data/runset-bad/bad-cols-bern-1_config.json @@ -0,0 +1,66 @@ + +{ + "stan_major_version" : "2", + "stan_minor_version" : "37", + "stan_patch_version" : "0", + "model_name" : "bernoulli_model", + "start_datetime" : "2026-07-20 16:58:36 UTC", + "method" : { + "value" : "sample", + "sample" : { + "num_samples" : 100, + "num_warmup" : 1000, + "save_warmup" : false, + "thin" : 1, + "adapt" : { + "engaged" : true, + "gamma" : 0.05, + "delta" : 0.8, + "kappa" : 0.75, + "t0" : 10, + "init_buffer" : 75, + "term_buffer" : 50, + "window" : 25, + "save_metric" : true + }, + "algorithm" : { + "value" : "hmc", + "hmc" : { + "engine" : { + "value" : "nuts", + "nuts" : { + "max_depth" : 10 + } + }, + "metric" : { + "value" : "diag_e" + }, + "metric_file" : "", + "stepsize" : 1, + "stepsize_jitter" : 0 + } + }, + "num_chains" : 1 + } + }, + "id" : 1, + "data" : { + "file" : "test\/data\/bernoulli.data.json" + }, + "init" : "2", + "random" : { + "seed" : 12345 + }, + "output" : { + "file" : "\/tmp\/tmpuisjazeu\/bernoullik799pfr2\/bernoulli-20260720125836_1.csv", + "diagnostic_file" : "", + "refresh" : 100, + "sig_figs" : 8, + "profile_file" : "profile.csv", + "save_cmdstan_config" : true + }, + "num_threads" : 1, + "mpi_enabled" : false, + "stanc_version" : "stanc3 v2.37.0", + "stancflags" : "--filename-in-msg=bernoulli.stan" +} diff --git a/test/data/runset-bad/bad-cols-bern-2.csv b/test/data/runset-bad/bad-cols-bern-2.csv index 171ea53d..9ff6e971 100644 --- a/test/data/runset-bad/bad-cols-bern-2.csv +++ b/test/data/runset-bad/bad-cols-bern-2.csv @@ -1,22 +1,24 @@ # stan_version_major = 2 -# stan_version_minor = 19 -# stan_version_patch = 1 +# stan_version_minor = 37 +# stan_version_patch = 0 # model = bernoulli_model +# start_datetime = 2026-07-20 16:58:36 UTC # method = sample (Default) # sample -# num_samples = 1000 (Default) +# num_samples = 100 # num_warmup = 1000 (Default) -# save_warmup = 0 (Default) +# save_warmup = false (Default) # thin = 1 (Default) # adapt -# engaged = 1 (Default) -# gamma = 0.050000000000000003 (Default) -# delta = 0.80000000000000004 (Default) +# engaged = true (Default) +# gamma = 0.05 (Default) +# delta = 0.8 (Default) # kappa = 0.75 (Default) # t0 = 10 (Default) # init_buffer = 75 (Default) # term_buffer = 50 (Default) # window = 25 (Default) +# save_metric = true # algorithm = hmc (Default) # hmc # engine = nuts (Default) @@ -26,1023 +28,130 @@ # metric_file = (Default) # stepsize = 1 (Default) # stepsize_jitter = 0 (Default) +# num_chains = 1 (Default) # id = 2 # data -# file = /Users/mitzi/github/stan-dev/cmdstanpy/test/files-data/bernoulli.data.R +# file = test/data/bernoulli.data.json # init = 2 (Default) # random -# seed = 73255 +# seed = 12345 # output -# file = /Users/mitzi/github/stan-dev/cmdstanpy/test/files-tmp/bernoulli.output-2.csv +# file = /tmp/tmpuisjazeu/bernoullik799pfr2/bernoulli-20260720125836_2.csv # diagnostic_file = (Default) # refresh = 100 (Default) +# sig_figs = 8 (Default) +# profile_file = profile.csv (Default) +# save_cmdstan_config = true +# num_threads = 1 (Default) +# stanc_version = stanc3 v2.37.0 +# stancflags = --filename-in-msg=bernoulli.stan lp__,accept_stat__,stepsize__,treedepth__,n_leapfrog__,divergent__,energy__,theta # Adaptation terminated -# Step size = 0.966602 +# Step size = 1.07501 # Diagonal elements of inverse mass matrix: -# 0.471155 --7.16838,0.776862,0.966602,2,3,0,8.283,0.148493 --7.23,0.989929,0.966602,1,1,0,7.29279,0.142391 --6.86843,0.960512,0.966602,1,3,0,7.68108,0.314405 --6.97212,0.970411,0.966602,1,1,0,6.98927,0.339176 --6.88754,0.936641,0.966602,1,3,0,7.34089,0.188142 --6.86762,1,0.966602,1,1,0,6.90436,0.192426 --6.76178,0.990448,0.966602,1,3,0,6.93414,0.271104 --6.82136,0.946111,0.966602,2,3,0,7.06709,0.204281 --6.85634,0.992632,0.966602,1,1,0,6.86499,0.195035 --8.67934,0.80905,0.966602,2,3,0,9.15418,0.528476 --8.67934,0.325399,0.966602,1,1,0,11.3643,0.528476 --7.72867,1,0.966602,2,3,0,8.54908,0.445057 --7.72867,0.781698,0.966602,1,3,0,8.88597,0.445057 --7.16147,1,0.966602,1,1,0,7.60253,0.373264 --6.89922,1,0.966602,2,3,0,7.09529,0.322538 --6.74802,0.999593,0.966602,1,3,0,6.892,0.250168 --6.76452,0.995845,0.966602,1,3,0,6.76925,0.227766 --6.82758,0.986109,0.966602,2,3,0,6.87864,0.20248 --6.75536,0.999534,0.966602,1,3,0,6.81565,0.235067 --8.17751,0.797612,0.966602,2,3,0,8.2364,0.085683 --6.98835,0.971202,0.966602,1,3,0,8.11542,0.170663 --6.92643,1,0.966602,1,1,0,6.99879,0.180712 --7.11427,0.965556,0.966602,1,1,0,7.11884,0.15437 --6.75428,1,0.966602,1,3,0,7.11498,0.23619 --6.76049,0.996595,0.966602,1,3,0,6.77864,0.270073 --6.7534,1,0.966602,1,1,0,6.759,0.263107 --6.87457,0.963489,0.966602,1,3,0,6.95031,0.190888 --6.95617,0.983927,0.966602,1,1,0,6.96632,0.17566 --7.42085,0.961195,0.966602,2,7,0,7.42089,0.409667 --7.3962,1,0.966602,1,1,0,7.60273,0.406528 --7.16354,1,0.966602,1,1,0,7.40907,0.37359 --6.74802,0.984735,0.966602,2,3,0,7.26618,0.249742 --6.8285,0.979901,0.966602,1,3,0,6.85281,0.202219 --6.90618,0.963286,0.966602,1,3,0,7.12818,0.324268 --6.76761,1,0.966602,1,3,0,6.87022,0.275265 --6.79453,0.974479,0.966602,2,3,0,6.91856,0.21323 --6.79453,0.751166,0.966602,1,3,0,8.23647,0.21323 --6.819,0.994661,0.966602,1,1,0,6.82441,0.204987 --6.79307,0.986394,0.966602,1,3,0,6.93342,0.28871 --6.7678,1,0.966602,1,1,0,6.78784,0.275391 --6.773,0.992255,0.966602,2,3,0,6.82541,0.222778 --6.81438,0.897833,0.966602,2,3,0,7.47624,0.206406 --6.7806,0.988186,0.966602,2,3,0,6.92443,0.282774 --7.09864,0.892092,0.966602,1,3,0,7.39224,0.156173 --8.53789,0.83314,0.966602,1,3,0,8.7093,0.0728794 --8.63095,0.991878,0.966602,1,1,0,8.84292,0.069999 --6.92505,0.97739,0.966602,1,3,0,8.72597,0.180958 --6.87592,0.966692,0.966602,1,3,0,7.23755,0.316464 --7.21337,0.96455,0.966602,2,3,0,7.21758,0.381248 --6.88578,0.926439,0.966602,1,3,0,7.63665,0.188507 --6.81612,1,0.966602,1,1,0,6.87428,0.205864 --6.79973,0.899247,0.966602,2,3,0,7.58608,0.211309 --8.90122,0.621446,0.966602,2,3,0,9.81459,0.062432 --9.19153,0.978897,0.966602,1,1,0,9.36196,0.055421 --8.94641,0.97569,0.966602,2,3,0,10.3785,0.0612708 --7.41135,0.939083,0.966602,1,3,0,8.85445,0.12713 --6.88031,0.987735,0.966602,1,3,0,7.33643,0.189654 --6.75719,0.916624,0.966602,2,3,0,7.53202,0.233336 --6.85208,0.972649,0.966602,1,3,0,6.91234,0.309689 --7.06999,0.892351,0.966602,1,3,0,7.50768,0.15962 --6.89058,0.950019,0.966602,1,3,0,7.48441,0.32034 --7.22539,0.90518,0.966602,1,1,0,7.23192,0.383037 --7.97745,0.926642,0.966602,2,3,0,8.03482,0.469857 --7.67296,1,0.966602,1,1,0,8.1146,0.439096 --7.01257,1,0.966602,1,1,0,7.48224,0.347325 --7.54432,0.945881,0.966602,2,3,0,7.56478,0.424633 --6.75104,0.974642,0.966602,2,3,0,7.73227,0.240367 --7.52784,0.831347,0.966602,1,3,0,7.6943,0.422703 --8.67838,0.685995,0.966602,1,1,0,8.78747,0.528404 --8.67838,0.655838,0.966602,1,1,0,9.99001,0.528404 --9.89943,0.673264,0.966602,1,1,0,10.3392,0.60679 --7.01442,1,0.966602,2,7,0,8.99673,0.347684 --6.79009,1,0.966602,1,3,0,6.95209,0.287369 --6.81467,0.993312,0.966602,1,1,0,6.82137,0.297376 --7.2133,0.940193,0.966602,2,7,0,7.21331,0.14399 --6.95265,1,0.966602,2,3,0,7.16787,0.176234 --6.95265,0.699349,0.966602,1,3,0,9.34015,0.176234 --6.873,1,0.966602,1,1,0,6.94701,0.191231 --6.78722,0.977302,0.966602,2,3,0,7.07733,0.286037 --7.17086,0.921726,0.966602,1,3,0,7.17696,0.37474 --6.85033,0.957023,0.966602,2,3,0,7.49797,0.196488 --6.7646,0.996092,0.966602,2,3,0,6.88571,0.22771 --6.75046,0.980594,0.966602,2,3,0,6.8923,0.258801 --7.14953,0.939312,0.966602,2,3,0,7.17339,0.150479 --6.75271,1,0.966602,1,3,0,7.16016,0.238025 --9.93243,0.578756,0.966602,2,3,0,9.9348,0.0414242 --7.10184,0.954381,0.966602,1,3,0,10.3866,0.1558 --7.22676,0.960903,0.966602,2,3,0,7.64747,0.142698 --7.53089,0.984951,0.966602,2,3,0,7.55158,0.118686 --6.74879,1,0.966602,2,3,0,7.40762,0.245137 --8.05351,0.72373,0.966602,2,3,0,8.86184,0.47693 --7.02511,1,0.966602,1,1,0,7.73629,0.349734 --6.76251,1,0.966602,1,3,0,6.96593,0.271666 --7.05936,0.910127,0.966602,2,3,0,7.34447,0.356068 --6.75109,0.979783,0.966602,2,3,0,7.18605,0.259883 --6.74808,0.999916,0.966602,1,3,0,6.75162,0.248619 --6.76959,0.996451,0.966602,2,3,0,6.77484,0.224659 --6.75154,0.99812,0.966602,1,3,0,6.78354,0.260589 --6.76281,0.980011,0.966602,2,3,0,6.86788,0.228921 --6.76281,0.840618,0.966602,1,3,0,7.57028,0.228921 --7.30975,0.872584,0.966602,1,3,0,7.49621,0.395054 --8.05604,0.46848,0.966602,1,3,0,10.471,0.0907117 --7.76719,1,0.966602,1,1,0,8.10072,0.104601 --6.7523,0.98098,0.966602,1,3,0,7.92647,0.238558 --7.60866,0.816353,0.966602,1,3,0,7.79606,0.431996 --9.40309,0.80472,0.966602,2,3,0,9.49126,0.577615 --9.75301,0.894095,0.966602,1,1,0,10.5435,0.598505 --7.32014,1,0.966602,1,1,0,8.97292,0.396475 --7.37771,0.981914,0.966602,1,1,0,7.5376,0.404138 --6.7932,0.888076,0.966602,2,3,0,8.04398,0.288767 --7.32758,0.823807,0.966602,1,3,0,7.82201,0.13375 --7.86402,0.92768,0.966602,1,1,0,7.86864,0.0996 --6.75671,1,0.966602,2,3,0,7.63109,0.266711 --8.20199,0.719741,0.966602,1,3,0,8.33151,0.49016 --9.02927,0.761574,0.966602,1,1,0,9.3699,0.553361 --7.13965,1,0.966602,1,1,0,8.42505,0.36977 --6.85375,1,0.966602,1,1,0,7.05892,0.310187 --11.8086,0.415408,0.966602,2,7,0,12.0386,0.696192 --7.66044,1,0.966602,1,1,0,10.4796,0.437732 --7.002,1,0.966602,2,3,0,7.50323,0.168668 --6.7592,0.998379,0.966602,2,3,0,7.01126,0.23163 --6.76184,0.99938,0.966602,1,1,0,6.76389,0.229612 --6.86303,0.981478,0.966602,1,3,0,6.86825,0.193469 --6.76944,0.967651,0.966602,2,3,0,7.12269,0.276447 --6.76944,0.84304,0.966602,1,3,0,7.35835,0.276447 --6.78165,0.989154,0.966602,2,3,0,6.84236,0.218554 --6.74924,0.965759,0.966602,2,3,0,7.01312,0.256214 --6.7834,0.990041,0.966602,1,3,0,6.80195,0.217774 --7.91809,0.77999,0.966602,1,3,0,8.25979,0.0969685 --7.49076,1,0.966602,1,1,0,7.88859,0.121404 --8.05252,0.930386,0.966602,1,1,0,8.06308,0.0908638 --8.17904,0.986635,0.966602,1,1,0,8.33369,0.0856221 --6.82106,0.993825,0.966602,1,3,0,8.2704,0.204368 --6.76303,0.952764,0.966602,2,3,0,7.21797,0.272059 --6.98035,0.954264,0.966602,1,3,0,6.98852,0.340887 --6.79686,1,0.966602,2,3,0,6.92887,0.290352 --7.42299,0.796379,0.966602,1,3,0,8.00192,0.12626 --6.7501,0.990537,0.966602,1,3,0,7.50236,0.242 --6.97508,0.965398,0.966602,2,3,0,7.01647,0.172671 --6.83294,0.682351,0.966602,2,3,0,10.6384,0.20099 --6.91966,0.960398,0.966602,1,3,0,7.15578,0.327519 --6.85632,1,0.966602,1,1,0,6.92026,0.310945 --7.01276,0.865294,0.966602,2,3,0,7.62267,0.347363 --7.01276,0.759653,0.966602,1,1,0,7.62499,0.347363 --6.9311,0.85064,0.966602,2,3,0,7.83803,0.330187 --6.91004,1,0.966602,2,3,0,6.96563,0.325211 --6.89061,1,0.966602,1,1,0,6.93978,0.320348 --6.76907,0.986586,0.966602,1,3,0,6.96819,0.224956 --7.16888,0.901168,0.966602,1,3,0,7.34619,0.374429 --7.57361,0.879941,0.966602,1,1,0,7.64283,0.428019 --6.7718,1,0.966602,1,3,0,7.39153,0.277896 --6.81791,0.977781,0.966602,1,3,0,6.90725,0.205315 --6.75095,0.99669,0.966602,1,3,0,6.84008,0.259653 --6.87083,0.971957,0.966602,2,3,0,6.94638,0.31507 --6.81933,1,0.966602,1,1,0,6.86699,0.299061 --6.76788,1,0.966602,2,3,0,6.80575,0.275442 --6.76293,1,0.966602,2,3,0,6.7694,0.271988 --6.93663,0.963886,0.966602,1,3,0,6.94185,0.331449 --6.93663,0.820543,0.966602,1,1,0,7.38976,0.331449 --7.74164,0.781098,0.966602,1,1,0,7.74282,0.446421 --7.39097,0.669674,0.966602,1,3,0,9.54492,0.128682 --6.88678,0.987924,0.966602,1,3,0,7.31573,0.188299 --7.31746,0.966906,0.966602,2,3,0,7.32001,0.39611 --6.74803,1,0.966602,1,3,0,7.27083,0.249432 --6.74803,0.760594,0.966602,1,3,0,7.96215,0.249432 --6.83801,0.985963,0.966602,2,3,0,6.85301,0.199627 --7.37248,0.750355,0.966602,2,3,0,8.77271,0.130121 --7.37248,0.925229,0.966602,1,1,0,7.86964,0.130121 --7.50736,0.980639,0.966602,1,1,0,7.57985,0.120267 --6.89031,0.918364,0.966602,1,3,0,8.1468,0.320271 --6.89031,0.592388,0.966602,2,7,0,8.91909,0.320271 --6.82248,1,0.966602,1,1,0,6.88074,0.300171 --6.97533,0.919379,0.966602,1,3,0,7.27805,0.172632 --6.91999,1,0.966602,1,1,0,6.98723,0.181871 --7.488,0.921115,0.966602,1,3,0,7.50856,0.121595 --8.13039,0.973764,0.966602,2,3,0,8.13488,0.0875847 --6.84999,0.98767,0.966602,1,3,0,8.16685,0.196573 --7.649,0.897931,0.966602,2,3,0,7.83874,0.111273 --7.0314,0.91281,0.966602,1,3,0,8.65681,0.350924 --7.87411,0.902985,0.966602,2,3,0,7.88551,0.459886 --7.87411,0.636263,0.966602,1,1,0,8.98359,0.459886 --7.69058,1,0.966602,1,1,0,8.0737,0.440999 --7.78119,0.99029,0.966602,2,3,0,8.0551,0.450529 --7.16162,1,0.966602,2,3,0,7.6345,0.373286 --6.74973,0.997775,0.966602,1,3,0,7.15914,0.242747 --6.85713,0.975762,0.966602,1,3,0,6.87797,0.194847 --8.92135,0.642167,0.966602,1,3,0,9.68774,0.545931 --8.75524,1,0.966602,2,7,0,8.76703,0.0663803 --9.0259,0.97911,0.966602,1,1,0,9.19272,0.059293 --6.77832,1,0.966602,2,3,0,8.64677,0.220101 --6.81568,0.98262,0.966602,1,3,0,6.9053,0.297743 --6.83217,0.958939,0.966602,2,3,0,7.06431,0.303454 --6.81469,1,0.966602,1,1,0,6.84164,0.297381 --7.05876,0.894226,0.966602,2,3,0,7.40966,0.161024 --7.99587,0.891062,0.966602,2,3,0,8.33162,0.0933644 --8.03957,0.995171,0.966602,1,1,0,8.21744,0.0914267 --7.99161,1,0.966602,1,1,0,8.21009,0.0935565 --6.8858,0.911785,0.966602,2,3,0,9.32492,0.188501 --6.88008,1,0.966602,1,1,0,6.91179,0.189702 --7.02155,0.97277,0.966602,1,1,0,7.02553,0.165924 --6.86279,1,0.966602,1,1,0,6.99155,0.193523 --6.83079,1,0.966602,1,1,0,6.86707,0.201581 --6.7665,0.841482,0.966602,2,3,0,8.27634,0.226497 --6.75778,0.941979,0.966602,2,3,0,7.15576,0.232814 --6.83746,0.985037,0.966602,1,3,0,6.84191,0.199772 --6.75146,0.953498,0.966602,2,3,0,7.17961,0.260462 --7.19102,0.881424,0.966602,1,3,0,7.41805,0.146184 --7.43736,0.98741,0.966602,2,3,0,7.46305,0.125201 --7.8797,0.942587,0.966602,1,1,0,7.8998,0.0988256 --7.40153,1,0.966602,2,3,0,7.82836,0.127873 --7.07286,1,0.966602,1,1,0,7.35212,0.159265 --6.84307,0.989273,0.966602,2,3,0,7.20315,0.198311 --6.84004,1,0.966602,1,1,0,6.8621,0.199094 --6.74997,0.913757,0.966602,2,3,0,7.59527,0.25785 --6.97174,0.94983,0.966602,1,3,0,6.99886,0.339097 --6.80397,1,0.966602,1,1,0,6.92505,0.29328 --7.09173,0.861541,0.966602,2,3,0,7.57079,0.156987 --6.93119,1,0.966602,1,1,0,7.0694,0.17987 --7.2357,0.945761,0.966602,1,1,0,7.23571,0.141854 --7.26388,0.998505,0.966602,2,3,0,7.34731,0.139262 --6.95869,1,0.966602,1,1,0,7.2096,0.175251 --7.66157,0.836365,0.966602,1,3,0,8.39362,0.437856 --7.85694,0.979401,0.966602,2,3,0,8.10534,0.458187 --6.80061,0.969336,0.966602,1,3,0,8.04875,0.210993 --7.11391,0.948591,0.966602,1,3,0,7.1328,0.154411 --6.78443,0.995664,0.966602,2,3,0,7.15367,0.217323 --6.78443,0.645492,0.966602,2,3,0,9.07151,0.217323 --6.78933,0.990126,0.966602,2,3,0,6.8744,0.287023 --7.10908,0.93563,0.966602,1,3,0,7.11214,0.364719 --7.05016,0.854303,0.966602,1,3,0,7.88139,0.162123 --6.99436,0.853159,0.966602,2,3,0,8.54572,0.169777 --11.5666,0.548777,0.966602,2,3,0,11.5726,0.022669 --6.80892,0.909698,0.966602,2,7,0,10.6567,0.295218 --12.4395,0.379184,0.966602,2,7,0,12.6714,0.0166361 --8.61268,0.879982,0.966602,1,3,0,13.0437,0.0705526 --6.74811,0.919573,0.966602,1,3,0,9.21929,0.248298 --7.06462,0.952014,0.966602,2,3,0,7.10082,0.160288 --7.15761,0.984013,0.966602,1,1,0,7.19591,0.149621 --7.43041,0.793911,0.966602,2,3,0,9.35976,0.125711 --6.77168,0.998725,0.966602,1,3,0,7.43465,0.223487 --6.85284,0.987174,0.966602,1,3,0,6.85348,0.195876 --6.7763,0.994409,0.966602,2,3,0,6.90797,0.221089 --7.18158,0.898749,0.966602,1,3,0,7.38254,0.376408 --8.28982,0.70074,0.966602,1,1,0,8.31842,0.49766 --7.13456,1,0.966602,2,3,0,8.03363,0.152103 --7.35292,0.965213,0.966602,1,1,0,7.37664,0.131678 --7.2958,1,0.966602,2,3,0,7.42787,0.136443 --6.83715,0.991284,0.966602,1,3,0,7.23306,0.199855 --6.94202,0.992935,0.966602,2,3,0,6.94457,0.178005 --6.79343,0.937041,0.966602,2,3,0,7.57797,0.288869 --7.00294,0.969377,0.966602,2,7,0,7.00296,0.168534 --7.31665,0.946991,0.966602,1,1,0,7.3185,0.134664 --7.32927,0.998066,0.966602,1,1,0,7.43037,0.13361 --7.09577,1,0.966602,1,1,0,7.30766,0.15651 --7.95745,0.938303,0.966602,2,3,0,7.95831,0.46796 --7.14493,1,0.966602,1,1,0,7.73342,0.370622 --6.90003,1,0.966602,1,1,0,7.08522,0.322742 --6.90597,0.998285,0.966602,1,1,0,6.94667,0.324216 --6.76601,1,0.966602,1,3,0,6.87021,0.27419 --6.78224,0.983777,0.966602,2,3,0,6.86614,0.218288 --6.78191,1,0.966602,1,1,0,6.78997,0.218438 --6.92257,0.955975,0.966602,1,3,0,7.06324,0.328205 --7.59962,0.813606,0.966602,1,1,0,7.6014,0.430978 --6.98578,1,0.966602,1,1,0,7.42173,0.341999 --6.76373,1,0.966602,2,3,0,6.95717,0.228291 --6.76373,0.901692,0.966602,1,3,0,7.23718,0.228291 --7.77962,0.787896,0.966602,1,3,0,8.12378,0.103936 --6.87174,0.941173,0.966602,1,3,0,8.52467,0.315322 --7.47676,0.73847,0.966602,1,3,0,8.31225,0.122379 --6.83274,0.989783,0.966602,1,3,0,7.42092,0.201045 --7.91782,0.888504,0.966602,2,3,0,8.11333,0.464156 --6.80066,1,0.966602,2,3,0,7.9555,0.210975 --6.8121,0.997503,0.966602,1,1,0,6.8213,0.207125 --6.79259,0.988455,0.966602,1,3,0,6.92232,0.288494 --6.8315,0.970134,0.966602,2,7,0,6.96791,0.201384 --6.81585,0.990277,0.966602,2,3,0,6.94354,0.205949 --6.81585,0.953771,0.966602,1,3,0,7.06878,0.205949 --6.7813,0.977389,0.966602,2,3,0,7.0192,0.283133 --6.83118,0.995501,0.966602,2,3,0,6.83336,0.303129 --7.06197,0.888348,0.966602,1,3,0,7.45082,0.16062 --7.18286,0.907624,0.966602,1,3,0,7.93777,0.376607 --7.18286,0.692063,0.966602,1,1,0,7.98854,0.376607 --6.99335,0.769603,0.966602,2,3,0,8.47222,0.34353 --6.82613,1,0.966602,1,1,0,6.94888,0.301429 --6.85724,0.945203,0.966602,2,3,0,7.1501,0.311214 --6.89681,0.996256,0.966602,2,3,0,6.91921,0.321931 --7.54145,0.823104,0.966602,1,1,0,7.54193,0.424298 --8.0319,0.852149,0.966602,1,1,0,8.20403,0.474941 --7.51948,1,0.966602,1,1,0,8.02777,0.421716 --6.7945,1,0.966602,2,3,0,7.48299,0.21324 --6.9101,0.988982,0.966602,2,7,0,6.91011,0.325226 --7.69829,0.700278,0.966602,1,3,0,8.84155,0.108408 --7.30686,1,0.966602,1,1,0,7.65839,0.135494 --6.78538,0.957846,0.966602,1,3,0,7.5894,0.285157 --6.83995,0.938766,0.966602,2,3,0,7.16033,0.199116 --7.03205,0.935223,0.966602,1,3,0,7.32805,0.351045 --7.25471,0.934001,0.966602,1,1,0,7.3033,0.387317 --6.86173,1,0.966602,1,1,0,7.13994,0.312511 --7.34698,0.805772,0.966602,1,3,0,8.04219,0.132158 --6.79032,0.994843,0.966602,1,3,0,7.31395,0.21487 --6.88738,0.863466,0.966602,2,3,0,7.76869,0.188176 --6.75022,0.999885,0.966602,1,3,0,6.88201,0.241765 --9.72697,0.401581,0.966602,1,3,0,11.871,0.0448379 --7.29716,0.941118,0.966602,1,3,0,9.89698,0.136326 --6.88983,0.931063,0.966602,2,7,0,7.82581,0.320147 --6.88983,0.877081,0.966602,1,1,0,7.20044,0.320147 --7.02885,0.960054,0.966602,1,1,0,7.04783,0.350442 --7.14568,0.965087,0.966602,1,1,0,7.20621,0.370743 --7.06653,1,0.966602,1,1,0,7.19891,0.357353 --7.04411,1,0.966602,1,1,0,7.14,0.35329 --6.77678,1,0.966602,1,3,0,6.97463,0.280745 --6.80475,0.997495,0.966602,2,3,0,6.80786,0.29359 --6.76175,1,0.966602,1,1,0,6.79335,0.271087 --7.1171,0.92398,0.966602,1,3,0,7.13732,0.366063 --6.75907,0.989229,0.966602,1,3,0,7.16954,0.231734 --6.82132,0.993917,0.966602,2,3,0,6.82278,0.299764 --6.9912,0.952714,0.966602,1,1,0,6.99371,0.343097 --6.85092,1,0.966602,1,1,0,6.96037,0.309344 --6.85092,0.902285,0.966602,1,3,0,7.31725,0.309344 --6.80042,0.978125,0.966602,1,3,0,6.9937,0.21106 --6.74868,0.999941,0.966602,1,3,0,6.79764,0.245478 --6.88136,0.880797,0.966602,2,3,0,7.47742,0.189431 --6.81825,0.748207,0.966602,2,3,0,9.48148,0.205214 --8.32897,0.71078,0.966602,1,3,0,8.87755,0.500932 --10.6743,0.469188,0.966602,1,1,0,10.901,0.646831 --8.87494,1,0.966602,1,1,0,10.5298,0.542672 --7.37913,1,0.966602,1,1,0,8.43946,0.404323 --6.80287,0.961169,0.966602,1,3,0,7.58744,0.2102 --7.05012,0.813974,0.966602,2,3,0,8.16246,0.162128 --6.74852,1,0.966602,2,3,0,7.00443,0.253977 --6.76533,0.995191,0.966602,1,3,0,6.7738,0.227238 --6.98063,0.834446,0.966602,2,3,0,7.87226,0.171823 --8.06705,0.926923,0.966602,2,3,0,8.1162,0.478167 --7.44386,1,0.966602,1,1,0,7.99309,0.412548 --8.25137,0.922884,0.966602,2,3,0,8.36369,0.494404 --11.2946,0.376957,0.966602,1,1,0,11.4495,0.675004 --11.0072,1,0.966602,2,7,0,11.0861,0.0277459 --7.98943,0.900816,0.966602,1,3,0,11.2707,0.0936552 --7.75649,1,0.966602,1,1,0,8.05347,0.105178 --7.18981,0.871084,0.966602,1,3,0,9.12215,0.377677 --8.77573,0.813744,0.966602,2,3,0,8.79007,0.535567 --8.42715,1,0.966602,1,1,0,9.13719,0.508954 --6.7632,1,0.966602,1,3,0,8.38616,0.228656 --6.75271,0.923874,0.966602,2,3,0,7.32627,0.238025 --6.95038,0.971976,0.966602,2,3,0,6.99053,0.334516 --7.72508,0.635255,0.966602,1,3,0,8.99408,0.106901 --7.04491,0.977329,0.966602,1,3,0,7.62652,0.162802 --7.09963,0.990355,0.966602,1,1,0,7.14407,0.156058 --6.82157,0.99484,0.966602,1,3,0,7.05019,0.204219 --6.81758,0.982364,0.966602,1,3,0,6.97938,0.298432 --6.80468,0.970679,0.966602,2,3,0,7.00164,0.293564 --8.39598,0.548499,0.966602,1,3,0,9.87751,0.0775852 --7.39385,0.862636,0.966602,1,3,0,10.6126,0.406226 --6.9576,1,0.966602,1,1,0,7.27493,0.336088 --7.29037,0.903948,0.966602,1,1,0,7.31035,0.392373 --7.53555,0.924861,0.966602,1,1,0,7.65862,0.423609 --8.29216,0.780801,0.966602,1,1,0,8.4355,0.497857 --7.01105,1,0.966602,1,1,0,7.89029,0.347031 --6.81296,1,0.966602,1,1,0,6.95546,0.296741 --6.99657,0.981386,0.966602,2,3,0,6.99763,0.344176 --6.78259,1,0.966602,2,3,0,6.95318,0.218132 --6.7504,0.99987,0.966602,1,3,0,6.77748,0.24145 --6.75161,0.999708,0.966602,1,1,0,6.75194,0.239517 --6.87628,0.878255,0.966602,2,3,0,7.51556,0.190516 --6.84281,1,0.966602,2,3,0,6.88234,0.198376 --7.22507,0.944234,0.966602,1,3,0,7.23939,0.142859 --8.76836,0.826964,0.966602,1,3,0,8.92547,0.0660126 --8.23425,1,0.966602,1,1,0,8.78029,0.08347 --6.76288,1,0.966602,2,3,0,8.00099,0.228873 --6.86146,0.982253,0.966602,1,3,0,6.86586,0.193832 --7.48007,0.850669,0.966602,1,3,0,7.95863,0.416994 --7.12874,1,0.966602,2,3,0,7.43277,0.367989 --6.75019,1,0.966602,1,3,0,7.07642,0.258284 --7.79884,0.735006,0.966602,1,3,0,8.39057,0.102923 --7.74368,1,0.966602,1,1,0,7.9367,0.105875 --6.96911,0.921014,0.966602,1,3,0,8.6873,0.338544 --6.75249,0.994676,0.966602,1,3,0,6.99419,0.23831 --6.88026,0.771993,0.966602,2,3,0,8.41886,0.189665 --6.75065,0.901145,0.966602,2,3,0,7.81887,0.259143 --6.76476,0.995871,0.966602,2,3,0,6.77992,0.273322 --6.96773,0.934477,0.966602,2,3,0,7.18474,0.338252 --6.83427,1,0.966602,1,1,0,6.9362,0.304143 --7.19473,0.900443,0.966602,1,1,0,7.1948,0.378429 --6.86952,1,0.966602,2,3,0,7.11547,0.192 --6.76041,1,0.966602,2,3,0,6.84403,0.270013 --6.83637,0.897814,0.966602,2,3,0,7.3942,0.200063 --6.75294,0.999592,0.966602,1,3,0,6.82574,0.237737 --6.8802,0.966148,0.966602,1,3,0,6.93607,0.317615 --6.8802,0.363223,0.966602,1,3,0,10.8333,0.317615 --6.74934,0.997899,0.966602,1,3,0,6.88954,0.243618 --7.42957,0.87282,0.966602,2,3,0,7.75247,0.410765 --7.42709,1,0.966602,2,3,0,7.63233,0.410453 --7.26731,1,0.966602,1,1,0,7.50387,0.389122 --7.09355,1,0.966602,1,1,0,7.28577,0.362079 --7.57233,0.651494,0.966602,1,3,0,8.97343,0.11599 --7.65306,0.989322,0.966602,1,1,0,7.76775,0.111032 --7.78358,0.983592,0.966602,1,1,0,7.8928,0.103727 --7.44397,1,0.966602,2,3,0,7.77383,0.124719 --7.16424,1,0.966602,1,1,0,7.4177,0.148924 --6.77019,0.972207,0.966602,1,3,0,7.34623,0.276912 --6.81953,0.986809,0.966602,1,1,0,6.82005,0.299133 --7.12236,0.916588,0.966602,1,1,0,7.12237,0.366937 --8.39561,0.84999,0.966602,2,3,0,8.40843,0.506405 --7.54552,1,0.966602,1,1,0,8.2552,0.424774 --7.54552,0.81546,0.966602,1,1,0,8.12493,0.424774 --7.06592,1,0.966602,2,3,0,7.43158,0.357243 --6.75369,1,0.966602,1,3,0,7.01133,0.263458 --6.74816,0.999998,0.966602,1,3,0,6.75294,0.252118 --6.792,0.903305,0.966602,2,3,0,7.38182,0.214205 --6.77354,0.992007,0.966602,1,3,0,6.85853,0.278919 --6.92175,0.945504,0.966602,1,3,0,7.08168,0.181552 --6.76073,0.988315,0.966602,1,3,0,7.00011,0.270273 --7.55179,0.87629,0.966602,2,3,0,7.56802,0.117313 --7.47762,0.869257,0.966602,2,3,0,9.22826,0.416696 --7.04135,1,0.966602,1,1,0,7.37497,0.35278 --6.75371,1,0.966602,1,3,0,6.99062,0.263487 --6.94497,0.776545,0.966602,2,3,0,8.22998,0.177507 --6.81632,1,0.966602,1,1,0,6.91831,0.205802 --6.81933,0.999784,0.966602,2,3,0,6.83398,0.204885 --6.76524,0.991956,0.966602,1,3,0,6.87968,0.273661 --6.76566,0.99989,0.966602,1,1,0,6.77,0.273952 --6.76566,0.893739,0.966602,1,3,0,7.15739,0.273952 --6.74806,0.999847,0.966602,1,3,0,6.76639,0.248858 --6.75016,0.976875,0.966602,2,3,0,6.89469,0.24189 --6.74816,0.985421,0.966602,2,3,0,6.84433,0.252052 --6.75346,0.998812,0.966602,1,3,0,6.75408,0.26318 --7.17851,0.574768,0.966602,2,3,0,9.76611,0.14745 --9.16913,0.628317,0.966602,2,3,0,11.1486,0.0559261 --8.98926,1,0.966602,2,3,0,9.37057,0.0601945 --9.77737,0.948876,0.966602,1,1,0,9.82891,0.0439711 --6.89948,0.961941,0.966602,2,7,0,9.14119,0.322603 --6.91677,0.998335,0.966602,2,3,0,6.95508,0.326832 --6.96932,0.861132,0.966602,2,3,0,7.69352,0.338588 --6.82079,1,0.966602,1,1,0,6.93041,0.299576 --7.61466,0.719485,0.966602,2,7,0,8.42906,0.113344 --6.96798,0.899489,0.966602,1,3,0,8.47779,0.338306 --7.19044,0.978323,0.966602,2,3,0,7.2216,0.377773 --6.74826,0.986246,0.966602,2,3,0,7.28668,0.247298 --7.81219,0.84185,0.966602,2,3,0,7.85829,0.102229 --6.74946,1,0.966602,2,3,0,7.60532,0.25675 --7.20754,0.898437,0.966602,1,3,0,7.26795,0.380372 --6.79338,1,0.966602,2,3,0,7.14622,0.213668 --8.49871,0.674,0.966602,1,3,0,9.15015,0.0741394 --7.98529,1,0.966602,1,1,0,8.4946,0.0938428 --7.31792,0.87829,0.966602,2,3,0,10.0222,0.134558 --7.83312,0.929954,0.966602,1,1,0,7.83867,0.101154 --7.34943,1,0.966602,1,1,0,7.77554,0.131959 --7.22303,0.97392,0.966602,2,3,0,7.83894,0.143054 --6.75277,0.936209,0.966602,2,3,0,7.85855,0.262317 --6.99042,0.94742,0.966602,1,3,0,7.01213,0.34294 --7.53852,0.844428,0.966602,1,1,0,7.55375,0.423956 --10.204,0.418763,0.966602,1,1,0,10.2392,0.623253 --10.8757,0.938364,0.966602,2,3,0,11.8573,0.65632 --7.61156,1,0.966602,1,1,0,9.84058,0.432322 --6.9179,1,0.966602,1,1,0,7.40161,0.327101 --6.9179,0.959344,0.966602,1,1,0,7.04271,0.327101 --7.26087,0.797046,0.966602,1,3,0,7.99888,0.139534 --7.53312,0.960027,0.966602,1,1,0,7.56221,0.118538 --6.79234,0.941367,0.966602,1,3,0,7.93206,0.288383 --6.98913,0.89176,0.966602,2,3,0,7.3933,0.170547 --6.91331,1,0.966602,2,3,0,6.99186,0.1831 --6.98505,0.945507,0.966602,1,3,0,7.39099,0.341851 --7.11435,0.839486,0.966602,1,3,0,7.82886,0.15436 --7.04473,1,0.966602,2,3,0,7.14271,0.162825 --6.8375,0.97357,0.966602,1,3,0,7.34565,0.305185 --7.20334,0.898846,0.966602,1,1,0,7.20347,0.379738 --7.42292,0.933146,0.966602,1,1,0,7.52245,0.409929 --7.64074,0.932253,0.966602,1,1,0,7.80914,0.435569 --8.09585,0.861555,0.966602,1,1,0,8.30325,0.480777 --7.48181,1,0.966602,1,1,0,8.03671,0.417205 --9.36817,0.539451,0.966602,1,1,0,9.42377,0.57544 --6.74853,1,0.966602,1,3,0,9.01803,0.246012 --6.97172,0.94666,0.966602,1,3,0,7.03731,0.173191 --8.94598,0.788081,0.966602,2,3,0,9.12593,0.0612818 --6.75882,1,0.966602,2,3,0,8.54814,0.231933 --6.83617,0.976572,0.966602,1,3,0,6.89524,0.304757 --6.76136,1,0.966602,2,3,0,6.81953,0.229966 --6.74834,0.96585,0.966602,2,3,0,6.9818,0.246846 --6.74834,0.704914,0.966602,1,3,0,8.1095,0.246846 --6.92359,0.957495,0.966602,1,3,0,6.96593,0.328444 --7.53841,0.82943,0.966602,1,1,0,7.54134,0.423943 --6.78466,1,0.966602,1,3,0,7.3509,0.284808 --6.75032,1,0.966602,1,3,0,6.77775,0.258533 --6.82321,0.978795,0.966602,1,3,0,6.86306,0.203735 --7.45564,0.939921,0.966602,2,3,0,7.51707,0.414006 --6.93946,1,0.966602,1,1,0,7.30609,0.332088 --7.18313,0.929407,0.966602,1,1,0,7.20525,0.376649 --6.79824,0.965331,0.966602,1,3,0,7.36961,0.211847 --7.20832,0.929593,0.966602,1,3,0,7.24764,0.144474 --7.42697,0.966564,0.966602,1,1,0,7.45945,0.125965 --6.81324,0.996841,0.966602,2,3,0,7.45323,0.206766 --6.75187,1,0.966602,2,3,0,6.80055,0.261077 --6.80122,0.984385,0.966602,1,3,0,6.83651,0.210777 --6.78157,0.991312,0.966602,1,3,0,6.88659,0.28327 --6.86213,0.943368,0.966602,2,3,0,7.10285,0.193677 --6.74956,0.870794,0.966602,2,3,0,8.0708,0.243105 --7.39065,0.850908,0.966602,1,3,0,7.62718,0.128707 --6.89225,0.987795,0.966602,1,3,0,7.3148,0.187183 --6.83029,0.978066,0.966602,1,3,0,7.10862,0.302831 --7.20845,0.839439,0.966602,2,3,0,7.71767,0.144461 --7.4216,0.967363,0.966602,1,1,0,7.45512,0.126363 --7.87993,0.940232,0.966602,1,1,0,7.89694,0.0988145 --6.83574,1,0.966602,2,3,0,7.83806,0.200231 --6.81996,1,0.966602,1,1,0,6.84461,0.204698 --6.93997,0.991807,0.966602,2,3,0,6.94038,0.178353 --7.53027,0.918629,0.966602,1,3,0,7.54954,0.118727 --7.49393,1,0.966602,1,1,0,7.64403,0.121185 --7.44209,1,0.966602,1,1,0,7.59304,0.124856 --7.74373,0.959818,0.966602,1,1,0,7.7866,0.105872 --7.77828,0.995723,0.966602,1,1,0,7.93022,0.104008 --7.72844,1,0.966602,1,1,0,7.91674,0.106714 --6.80482,0.924477,0.966602,1,3,0,8.25944,0.293618 --7.33128,0.893709,0.966602,1,3,0,7.33736,0.397986 --7.73357,0.878741,0.966602,1,1,0,7.8508,0.445574 --7.35065,1,0.966602,1,1,0,7.73565,0.400579 --6.99373,1,0.966602,1,1,0,7.26805,0.343606 --7.03228,0.988527,0.966602,1,1,0,7.09447,0.351088 --7.07096,0.988377,0.966602,1,1,0,7.14471,0.358141 --7.70018,0.820812,0.966602,1,1,0,7.72806,0.442029 --6.77192,0.879211,0.966602,2,3,0,8.47139,0.277968 --6.79564,0.993665,0.966602,1,1,0,6.79814,0.289831 --6.80458,0.997566,0.966602,1,1,0,6.81528,0.293522 --6.87638,0.980182,0.966602,1,1,0,6.88148,0.316587 --6.74821,0.999856,0.966602,1,3,0,6.86641,0.252436 --6.89222,0.978055,0.966602,2,3,0,6.90939,0.187188 --6.90659,0.961213,0.966602,1,3,0,7.23558,0.324369 --6.91673,0.928405,0.966602,1,3,0,7.30888,0.182467 --7.10788,0.958336,0.966602,2,3,0,7.36475,0.155101 --6.76238,0.998548,0.966602,1,3,0,7.09031,0.229224 --6.77458,0.997186,0.966602,1,1,0,6.77577,0.221957 --7.48317,0.839981,0.966602,1,3,0,7.74339,0.417369 --7.48317,0.764582,0.966602,2,3,0,8.94175,0.417369 --8.57907,0.698813,0.966602,1,1,0,8.68014,0.520889 --7.22628,1,0.966602,1,1,0,8.16987,0.38317 --7.9453,0.794189,0.966602,1,1,0,8.00513,0.466801 --6.96157,1,0.966602,2,3,0,7.6413,0.336943 --7.82691,0.765238,0.966602,1,1,0,7.82918,0.455182 --8.93753,0.897912,0.966602,2,3,0,9.13415,0.547059 --8.77795,1,0.966602,2,7,0,8.78796,0.0657455 --7.98408,1,0.966602,1,1,0,8.70976,0.0938974 --7.15348,0.987542,0.966602,2,3,0,8.24682,0.150058 --6.75088,1,0.966602,2,3,0,7.11524,0.240623 --6.75072,0.999201,0.966602,2,3,0,6.75799,0.259257 --6.84355,0.978336,0.966602,2,3,0,6.90207,0.307094 --6.78152,1,0.966602,1,1,0,6.82809,0.283245 --7.2019,0.630913,0.966602,2,3,0,9.2653,0.145103 --6.98524,0.98182,0.966602,2,3,0,7.47954,0.171128 --6.75748,0.999018,0.966602,1,3,0,6.9688,0.233077 --7.07216,0.952635,0.966602,2,3,0,7.14017,0.159351 --6.96235,0.981191,0.966602,2,3,0,7.3458,0.174666 --7.05356,0.983237,0.966602,1,1,0,7.07596,0.161686 --7.19381,0.960265,0.966602,2,3,0,7.57447,0.145905 --8.77421,0.90238,0.966602,2,3,0,8.80976,0.535456 --7.60311,1,0.966602,1,1,0,8.51776,0.431371 --9.34714,0.564378,0.966602,1,1,0,9.43692,0.574121 --8.47583,1,0.966602,1,1,0,9.48273,0.512839 --8.47583,0.281116,0.966602,1,1,0,11.3955,0.512839 --6.91247,1,0.966602,2,3,0,8.38564,0.183258 --6.90228,0.983418,0.966602,2,3,0,7.1328,0.185198 --6.81086,1,0.966602,1,1,0,6.88402,0.207526 --6.81522,0.990225,0.966602,2,3,0,6.92055,0.206143 --6.75159,0.998658,0.966602,2,3,0,6.82513,0.239537 --6.89943,0.961799,0.966602,1,3,0,6.95521,0.322592 --6.87355,0.946639,0.966602,1,3,0,7.2114,0.19111 --6.98061,0.948105,0.966602,1,3,0,7.31613,0.340939 --6.86205,0.948274,0.966602,1,3,0,7.29633,0.193696 --7.03306,0.966823,0.966602,1,1,0,7.03384,0.164366 --6.85542,1,0.966602,1,1,0,6.99813,0.195253 --6.78852,1,0.966602,1,1,0,6.84131,0.215601 --7.09777,0.946331,0.966602,1,3,0,7.12237,0.156275 --7.22693,0.978472,0.966602,1,1,0,7.2623,0.142682 --7.06646,1,0.966602,2,3,0,7.22444,0.160058 --6.76847,0.894205,0.966602,2,3,0,8.42966,0.27583 --6.77482,0.99832,0.966602,1,1,0,6.77881,0.279656 --6.77482,0.866566,0.966602,1,3,0,7.26561,0.279656 --7.30088,0.89026,0.966602,1,3,0,7.32159,0.393832 --6.76167,0.988421,0.966602,1,3,0,7.35877,0.229736 --6.75492,0.919906,0.966602,2,3,0,7.35535,0.235516 --6.87573,0.984777,0.966602,2,3,0,6.88968,0.316413 --7.00343,0.904175,0.966602,2,3,0,7.48743,0.168464 --6.86096,1,0.966602,1,1,0,6.9773,0.193948 --7.05325,0.962845,0.966602,1,1,0,7.05342,0.161726 --7.02294,1,0.966602,1,1,0,7.09498,0.165734 --8.83383,0.776242,0.966602,1,3,0,9.20578,0.0642165 --8.74996,1,0.966602,2,3,0,9.05999,0.0665289 --6.87215,0.962165,0.966602,2,7,0,8.31127,0.315435 --6.77008,0.986893,0.966602,1,3,0,6.94986,0.224375 --6.77008,0.872898,0.966602,1,3,0,7.40846,0.224375 --7.37106,0.916068,0.966602,2,3,0,7.47181,0.130233 --6.87767,0.988561,0.966602,1,3,0,7.29783,0.190218 --6.75591,0.999288,0.966602,1,3,0,6.86263,0.234519 --7.05383,0.958453,0.966602,2,3,0,7.11844,0.355068 --7.21845,0.983582,0.966602,2,3,0,7.28004,0.382007 --6.97352,0.887068,0.966602,1,3,0,7.85407,0.172911 --6.77663,1,0.966602,2,3,0,6.92569,0.280662 --6.86278,0.976775,0.966602,1,1,0,6.86293,0.312809 --7.16858,0.914035,0.966602,1,1,0,7.17201,0.374383 --7.16858,0.222007,0.966602,1,3,0,12.7257,0.374383 --6.75872,0.989731,0.966602,1,3,0,7.21816,0.232017 --6.77213,0.996883,0.966602,1,1,0,6.77262,0.223244 --6.74891,0.969871,0.966602,2,3,0,6.97183,0.255299 --9.08275,0.593159,0.966602,1,3,0,9.35394,0.556967 --8.84853,1,0.966602,2,7,0,8.88761,0.0638216 --7.9001,1,0.966602,1,1,0,8.75207,0.0978321 --8.49506,0.93892,0.966602,1,1,0,8.52512,0.0742583 --8.94163,0.963091,0.966602,1,1,0,9.03987,0.0613924 --6.79017,0.956601,0.966602,2,7,0,8.45872,0.287404 --6.94492,0.936502,0.966602,1,3,0,7.15866,0.177516 --6.82278,0.989774,0.966602,2,3,0,7.06285,0.203861 --7.32681,0.918978,0.966602,1,3,0,7.37154,0.133814 --6.92859,0.989079,0.966602,1,3,0,7.25679,0.180329 --6.86613,0.986089,0.966602,2,3,0,7.104,0.192762 --6.92825,0.995863,0.966602,2,3,0,6.94014,0.180388 --7.19543,0.951949,0.966602,1,1,0,7.19591,0.145744 --7.49202,0.955149,0.966602,1,1,0,7.5107,0.121318 --6.88744,0.947064,0.966602,1,3,0,8.11695,0.319526 --7.71284,0.86572,0.966602,2,7,0,7.71662,0.107585 --7.77944,0.982773,0.966602,2,7,0,7.78214,0.450348 --7.34985,0.688254,0.966602,1,3,0,9.49075,0.131925 --7.34136,1,0.966602,2,3,0,7.45482,0.132615 --7.60653,0.962579,0.966602,1,1,0,7.64566,0.113844 --6.77687,0.956911,0.966602,2,3,0,8.17804,0.280795 --7.53879,0.773273,0.966602,1,3,0,8.12957,0.118164 --7.15987,1,0.966602,1,1,0,7.48648,0.149383 --7.55555,0.859675,0.966602,1,3,0,8.63819,0.425938 --7.55555,0.417867,0.966602,1,1,0,9.39259,0.425938 --7.15685,1,0.966602,1,1,0,7.49616,0.372531 --6.78651,1,0.966602,2,3,0,7.10238,0.216432 --6.74823,0.958555,0.966602,2,3,0,7.06861,0.25257 --8.15831,0.724215,0.966602,1,3,0,8.34559,0.486342 --8.15831,0.555242,0.966602,1,1,0,9.60076,0.486342 --8.15831,0.696269,0.966602,1,1,0,9.19394,0.486342 --7.42209,1,0.966602,1,1,0,8.03099,0.409823 --7.06555,1,0.966602,1,1,0,7.35639,0.357179 --8.65042,0.603912,0.966602,1,1,0,8.65196,0.526311 --7.20034,1,0.966602,1,1,0,8.20268,0.379283 --7.10492,1,0.966602,1,1,0,7.25751,0.364018 --6.77037,1,0.966602,2,3,0,7.06961,0.224214 --7.17094,0.900764,0.966602,1,3,0,7.35257,0.374753 --7.58456,0.634797,0.966602,1,3,0,9.14113,0.115215 --8.0049,0.948877,0.966602,1,1,0,8.0398,0.092959 --6.89503,0.885157,0.966602,1,3,0,8.94138,0.32148 --6.81368,0.951499,0.966602,2,3,0,7.18675,0.297009 --6.79475,1,0.966602,1,1,0,6.81723,0.289444 --7.49291,0.746855,0.966602,2,3,0,8.25399,0.121256 --6.96683,0.929287,0.966602,1,3,0,8.282,0.338063 --7.31723,0.769158,0.966602,2,3,0,8.47987,0.134615 --7.20318,1,0.966602,2,3,0,7.35334,0.144977 --7.20318,0.937406,0.966602,1,1,0,7.57101,0.144977 --7.59122,0.980885,0.966602,2,3,0,7.60022,0.114797 --6.75327,1,0.966602,2,3,0,7.4229,0.262947 --7.19172,0.933058,0.966602,2,3,0,7.21156,0.146114 --6.81335,0.9563,0.966602,1,3,0,7.50333,0.296887 --7.0224,0.818917,0.966602,2,3,0,7.93729,0.165807 --6.75542,0.912386,0.966602,2,3,0,7.78948,0.235004 --6.76251,0.99833,0.966602,1,1,0,6.76307,0.229135 --7.62281,0.878971,0.966602,2,3,0,7.7098,0.112847 --6.85325,0.951833,0.966602,1,3,0,8.23627,0.310038 --7.27874,0.809927,0.966602,2,7,0,7.89504,0.137935 --7.78455,0.929711,0.966602,1,1,0,7.78892,0.103675 --7.34582,1,0.966602,1,1,0,7.737,0.132252 --6.74935,1,0.966602,2,3,0,7.26409,0.243591 --7.79388,0.846336,0.966602,2,3,0,7.84687,0.103183 --6.89557,0.98198,0.966602,1,3,0,7.7302,0.186516 --6.78972,0.974847,0.966602,2,3,0,7.12528,0.2872 --6.75546,1,0.966602,1,3,0,6.78089,0.265445 --6.94585,0.874944,0.966602,2,3,0,7.47372,0.17736 --7.82784,0.884829,0.966602,1,3,0,7.90154,0.101424 --7.0373,0.97456,0.966602,1,3,0,7.72651,0.163802 --7.30547,0.955254,0.966602,1,1,0,7.31276,0.135612 --6.94716,0.923831,0.966602,1,3,0,7.95045,0.333808 --7.09207,0.790907,0.966602,2,3,0,8.12621,0.361825 --6.97759,1,0.966602,1,1,0,7.10353,0.340315 --7.5499,0.838439,0.966602,1,1,0,7.56176,0.425283 --8.20592,0.935653,0.966602,2,3,0,8.36319,0.4905 --6.77099,0.99673,0.966602,1,3,0,8.23739,0.223868 --7.47495,0.859166,0.966602,1,3,0,7.64674,0.122506 --7.60522,0.982196,0.966602,1,1,0,7.69241,0.113925 --7.3529,1,0.966602,1,1,0,7.61196,0.13168 --7.06351,1,0.966602,1,1,0,7.31198,0.160427 --11.4192,0.601812,0.966602,3,7,0,12.4855,0.680306 --9.36048,1,0.966602,1,1,0,11.3137,0.574958 --8.06748,1,0.966602,2,3,0,9.18541,0.478205 --8.06748,0.789828,0.966602,1,1,0,8.85864,0.478205 --7.04036,0.849393,0.966602,1,3,0,9.01099,0.163398 --7.41098,0.93955,0.966602,1,1,0,7.41209,0.127158 --7.12765,1,0.966602,2,3,0,7.37917,0.152865 --6.8996,0.955725,0.966602,1,3,0,7.58844,0.322632 --6.86216,0.951383,0.966602,1,3,0,7.18831,0.193669 --6.81734,0.981723,0.966602,1,3,0,7.04071,0.298347 --6.81734,0.71857,0.966602,1,3,0,8.24043,0.298347 --6.83263,0.998587,0.966602,2,3,0,6.84807,0.303607 --6.75173,1,0.966602,1,3,0,6.81715,0.260871 --7.13943,0.80667,0.966602,2,3,0,7.90165,0.151571 --6.74817,1,0.966602,2,3,0,7.08816,0.247862 --7.81308,0.763562,0.966602,2,3,0,8.32712,0.102183 --7.46254,0.975439,0.966602,2,3,0,8.39613,0.123384 --10.6193,0.856396,0.966602,2,3,0,10.7825,0.644181 --7.92589,1,0.966602,1,1,0,9.8506,0.464937 --7.30402,1,0.966602,1,1,0,7.81385,0.394266 --7.14204,1,0.966602,1,1,0,7.34192,0.370156 --6.83119,1,0.966602,2,3,0,7.0701,0.20147 --6.79238,0.804489,0.966602,2,3,0,8.66937,0.214057 --7.83257,0.804729,0.966602,1,3,0,8.10578,0.101182 --7.27175,1,0.966602,2,3,0,7.75337,0.138556 --6.8331,0.94612,0.966602,1,3,0,7.66515,0.303761 --7.05382,0.938362,0.966602,1,1,0,7.05611,0.355066 --8.10624,0.875677,0.966602,2,3,0,8.11511,0.481712 --7.0868,1,0.966602,2,3,0,7.87744,0.157575 --7.93409,0.890813,0.966602,1,3,0,7.96225,0.0962102 --7.63694,1,0.966602,1,1,0,7.96086,0.111993 --7.37848,1,0.966602,1,1,0,7.64496,0.12965 --7.79294,0.944347,0.966602,1,1,0,7.8121,0.103233 --7.79294,0.905113,0.966602,1,1,0,8.61742,0.103233 --8.72583,0.904284,0.966602,1,1,0,8.72606,0.0672142 --7.88718,1,0.966602,2,3,0,8.64364,0.0984597 --8.69572,0.919103,0.966602,1,1,0,8.70271,0.068082 --7.97831,1,0.966602,1,1,0,8.64177,0.0941603 --8.12729,0.983845,0.966602,1,1,0,8.26691,0.0877119 --6.9558,0.869029,0.966602,1,3,0,9.28827,0.335698 --6.9558,0.852667,0.966602,1,1,0,7.3277,0.335698 --6.89619,1,0.966602,1,1,0,6.96871,0.321775 --6.94937,0.994884,0.966602,2,3,0,6.98061,0.334294 --6.78147,0.979229,0.966602,1,3,0,7.06767,0.218635 --6.80894,0.984668,0.966602,1,3,0,6.90057,0.295223 --6.86977,0.941798,0.966602,2,3,0,7.17378,0.191944 --7.00055,0.974532,0.966602,1,1,0,7.00438,0.168878 --6.88324,0.956769,0.966602,1,3,0,7.36586,0.318422 --7.15807,0.797792,0.966602,2,3,0,8.16068,0.149573 --9.46804,0.760468,0.966602,1,3,0,10.0013,0.0496216 --8.54738,1,0.966602,1,1,0,9.41364,0.0725787 --8.87275,0.973058,0.966602,1,1,0,9.00766,0.0631781 --6.94011,0.975529,0.966602,1,3,0,9.03515,0.17833 --6.9303,0.859906,0.966602,2,3,0,8.23504,0.180027 --7.51334,0.919391,0.966602,1,3,0,7.53369,0.119862 --7.85932,0.985287,0.966602,2,3,0,7.90089,0.0998341 --8.34146,0.948663,0.966602,1,1,0,8.38701,0.079503 --6.76298,0.966708,0.966602,1,3,0,8.65321,0.228808 --6.88566,0.977277,0.966602,1,3,0,6.89333,0.188532 --6.81315,0.965243,0.966602,2,3,0,7.19181,0.296812 --7.27296,0.827,0.966602,2,3,0,7.78447,0.138448 --7.05885,1,0.966602,1,1,0,7.25218,0.161013 --7.01629,1,0.966602,1,1,0,7.09385,0.16665 --6.80627,0.996475,0.966602,1,3,0,6.97639,0.209036 --6.80627,0.952595,0.966602,1,3,0,7.12247,0.209036 --6.97007,0.986816,0.966602,2,3,0,6.9702,0.338746 --6.83419,1,0.966602,1,1,0,6.93766,0.304115 --6.8104,1,0.966602,1,1,0,6.8397,0.295781 --6.99297,0.896566,0.966602,2,3,0,7.41799,0.343455 --6.99297,0.677873,0.966602,2,7,0,8.48103,0.343455 --7.50925,0.946868,0.966602,2,3,0,7.52646,0.420501 --7.50925,0.520088,0.966602,1,1,0,8.90905,0.420501 --9.11436,0.591139,0.966602,1,1,0,9.19009,0.559076 --7.56733,1,0.966602,1,1,0,8.69994,0.427298 --7.81175,0.923567,0.966602,1,1,0,8.02269,0.453651 --7.04714,1,0.966602,2,3,0,7.58873,0.353847 --7.00695,1,0.966602,1,1,0,7.10093,0.34623 --7.01275,0.998267,0.966602,1,1,0,7.08497,0.347361 --6.75288,0.994326,0.966602,1,3,0,7.03894,0.237816 --8.50942,0.672081,0.966602,1,3,0,8.823,0.515486 --8.50942,0.6363,0.966602,1,1,0,9.81795,0.515486 --7.20639,1,0.966602,1,1,0,8.11531,0.380199 --7.20639,0.917947,0.966602,1,1,0,7.48597,0.380199 --6.84389,1,0.966602,1,1,0,7.10083,0.307198 --7.05568,0.979959,0.966602,2,3,0,7.05984,0.355404 --8.8344,0.56769,0.966602,1,1,0,8.83452,0.539791 --7.25368,1,0.966602,1,1,0,8.34682,0.38717 --6.91425,1,0.966602,1,1,0,7.16239,0.326228 --6.81846,1,0.966602,1,1,0,6.89332,0.298749 --6.81846,0.740139,0.966602,1,3,0,7.80016,0.298749 --6.87272,0.984897,0.966602,1,1,0,6.88278,0.315591 --7.22324,0.962447,0.966602,2,3,0,7.22661,0.382718 --6.79338,1,0.966602,2,3,0,7.16199,0.213668 --6.74996,0.999115,0.966602,2,3,0,6.79967,0.242277 --6.7782,0.991796,0.966602,1,3,0,6.79457,0.281516 --8.39837,0.742483,0.966602,2,3,0,8.40127,0.0775026 --6.75177,1,0.966602,2,3,0,8.05613,0.260929 --6.78575,0.988797,0.966602,1,3,0,6.81329,0.216757 --6.77511,0.990732,0.966602,2,3,0,6.86602,0.279819 --6.81374,0.996542,0.966602,2,3,0,6.81559,0.297031 --6.81374,0.696267,0.966602,2,7,0,8.257,0.297031 --6.74818,0.998574,0.966602,2,3,0,6.82326,0.252216 --6.93876,0.96299,0.966602,2,3,0,7.02278,0.331932 --6.86519,1,0.966602,1,1,0,6.93736,0.313494 --6.76478,0.989293,0.966602,1,3,0,6.92787,0.227595 --8.28004,0.790148,0.966602,2,3,0,8.34995,0.0817424 --8.42881,0.982347,0.966602,2,7,0,8.42948,0.509088 --6.77316,0.959219,0.966602,2,3,0,8.79661,0.222697 --6.90868,0.706889,0.966602,2,3,0,9.13449,0.183971 --6.80418,1,0.966602,1,1,0,6.8867,0.209747 --6.87852,0.98429,0.966602,1,1,0,6.87992,0.190034 --7.25521,0.970749,0.966602,2,3,0,7.25634,0.38739 --6.75173,1,0.966602,1,3,0,7.17696,0.260872 --8.70235,0.525962,0.966602,1,3,0,10.0695,0.0678898 --7.21036,0.951302,0.966602,1,3,0,8.63153,0.144275 --7.50052,0.956413,0.966602,1,1,0,7.52158,0.120733 --6.78762,0.995775,0.966602,1,3,0,7.48947,0.21597 --7.91482,0.767426,0.966602,1,3,0,8.29644,0.463866 --6.98975,1,0.966602,2,3,0,7.63062,0.342805 --7.84572,0.766262,0.966602,1,1,0,7.85101,0.457069 --6.88189,0.920771,0.966602,1,3,0,8.3118,0.18932 --7.27304,0.969707,0.966602,2,3,0,7.2744,0.389936 --11.1748,0.428602,0.966602,2,7,0,11.5011,0.0261064 --7.79788,0.917267,0.966602,1,3,0,11.6552,0.102973 --7.9027,0.987572,0.966602,1,1,0,8.03702,0.0977066 --8.10145,0.977996,0.966602,1,1,0,8.2179,0.0887829 --6.85014,0.985733,0.966602,2,7,0,7.8019,0.309109 --6.75063,1,0.966602,2,3,0,6.8425,0.24104 --6.74889,1,0.966602,1,1,0,6.75022,0.244804 --6.80458,0.987341,0.966602,1,3,0,6.81464,0.209608 --6.77877,1,0.966602,1,1,0,6.80119,0.219887 --6.77877,0.677711,0.966602,1,3,0,8.54903,0.219887 --7.5917,0.889769,0.966602,2,3,0,7.70396,0.114767 --6.76039,1,0.966602,2,3,0,7.41487,0.269995 --6.75832,0.99683,0.966602,1,3,0,6.7852,0.232351 --6.94349,0.848369,0.966602,2,3,0,7.74597,0.177757 --7.50424,0.957832,0.966602,2,3,0,7.50652,0.419903 --9.01175,0.610368,0.966602,1,1,0,9.09181,0.552168 --7.30897,1,0.966602,2,3,0,8.65739,0.135314 --6.95698,0.913758,0.966602,2,7,0,7.97424,0.335955 --7.67044,0.802878,0.966602,1,1,0,7.675,0.438823 --7.67044,0.628986,0.966602,1,3,0,9.39809,0.438823 --6.82304,1,0.966602,1,3,0,7.43271,0.300366 --6.78946,1,0.966602,1,1,0,6.81926,0.287081 --6.77525,1,0.966602,1,1,0,6.7901,0.279899 --7.24798,0.901389,0.966602,1,3,0,7.26492,0.386345 --6.74905,0.998489,0.966602,1,3,0,7.23088,0.244363 --7.06623,0.952,0.966602,2,3,0,7.10964,0.160087 --6.81821,0.995477,0.966602,1,3,0,7.02038,0.205225 --8.91307,0.73631,0.966602,2,3,0,8.99871,0.0621249 --6.75003,0.954274,0.966602,1,3,0,9.79345,0.257985 --6.85864,0.969414,0.966602,1,3,0,6.91263,0.19449 --8.36679,0.849037,0.966602,2,3,0,8.68715,0.504052 --8.36679,0.533722,0.966602,1,1,0,9.94954,0.504052 --7.95359,1,0.966602,2,3,0,8.54361,0.467593 --8.17467,0.929759,0.966602,1,1,0,8.51466,0.487779 --7.13964,1,0.966602,1,1,0,7.86776,0.369768 --7.10127,0.829027,0.966602,1,3,0,8.03662,0.155866 --6.75863,0.981264,0.966602,1,3,0,7.22126,0.268499 --8.28003,0.707776,0.966602,1,3,0,8.40952,0.496836 --7.33923,1,0.966602,2,3,0,8.04889,0.399054 --6.74906,1,0.966602,1,3,0,7.26512,0.255712 --6.74827,0.999888,0.966602,1,3,0,6.74989,0.247214 --6.74827,0.839189,0.966602,1,3,0,7.43349,0.247214 --7.50563,0.836505,0.966602,1,3,0,7.63836,0.42007 --6.88079,1,0.966602,1,1,0,7.31817,0.317772 --6.95489,0.992913,0.966602,2,3,0,6.97884,0.3355 --6.76315,0.976014,0.966602,2,3,0,7.10792,0.272152 --9.38464,0.360255,0.966602,2,3,0,11.6404,0.576468 --6.79747,1,0.966602,2,7,0,8.74063,0.290611 --6.86063,0.959654,0.966602,2,3,0,7.03748,0.194025 --9.08965,0.622271,0.966602,1,3,0,9.92985,0.0577643 --10.1422,0.978777,0.966602,2,3,0,10.1604,0.0382445 --7.7471,0.911557,0.966602,1,3,0,10.2027,0.105688 --8.90755,0.914568,0.966602,2,7,0,8.97552,0.544967 --7.50109,1,0.966602,2,7,0,8.58471,0.120694 --7.98047,0.940048,0.966602,1,1,0,8.00048,0.0940617 --8.35602,0.961253,0.966602,1,1,0,8.43309,0.0789842 --8.48001,0.981274,0.966602,2,7,0,8.49542,0.513171 --7.37346,1,0.966602,2,3,0,8.19198,0.403584 --7.10855,0.814515,0.966602,1,3,0,8.37111,0.155024 --7.23765,0.89832,0.966602,1,3,0,8.0984,0.384842 --6.85428,0.938372,0.966602,1,3,0,7.58404,0.195528 --6.88223,0.994277,0.966602,1,1,0,6.89859,0.189248 --6.79685,0.894096,0.966602,2,3,0,7.74612,0.212359 --6.76029,0.926803,0.966602,2,3,0,7.31809,0.230767 --6.7547,0.989169,0.966602,2,3,0,6.83826,0.264631 --7.32773,0.762287,0.966602,2,3,0,8.18301,0.133738 --7.32254,1,0.966602,1,1,0,7.43145,0.13417 --7.05868,0.980185,0.966602,2,3,0,7.65439,0.161035 --7.21279,0.973891,0.966602,1,1,0,7.23776,0.144039 --8.24118,0.889268,0.966602,2,3,0,8.65413,0.0832051 --8.7865,0.93946,0.966602,2,3,0,9.70967,0.0655084 --6.79639,0.860933,0.966602,1,3,0,9.91544,0.290152 --6.82877,0.974285,0.966602,1,3,0,6.96942,0.202144 --6.75593,0.999511,0.966602,1,3,0,6.81644,0.234502 --6.9702,0.944807,0.966602,1,3,0,7.05913,0.338773 --7.00669,0.989209,0.966602,1,1,0,7.06223,0.346178 --7.59047,0.662933,0.966602,1,3,0,8.84111,0.114844 --7.46055,1,0.966602,1,1,0,7.65785,0.123526 --7.71109,0.988846,0.966602,2,3,0,7.76642,0.107684 --7.77579,0.991939,0.966602,1,1,0,7.91321,0.104141 --7.54378,1,0.966602,1,1,0,7.81431,0.117836 --8.20135,0.9217,0.966602,1,1,0,8.20691,0.084743 --7.17036,0.962387,0.966602,1,3,0,8.09066,0.148288 --6.75285,1,0.966602,2,3,0,7.09079,0.262418 --6.75155,0.998918,0.966602,1,3,0,6.76159,0.239594 --7.73486,0.816863,0.966602,2,3,0,8.22667,0.445709 --6.88609,1,0.966602,2,3,0,7.59803,0.188443 --6.76097,1,0.966602,2,3,0,6.8571,0.270466 --7.32421,0.767507,0.966602,2,3,0,8.13528,0.13403 --7.32421,0.924306,0.966602,1,1,0,7.81144,0.13403 --7.6534,0.953797,0.966602,1,1,0,7.6798,0.111012 --6.84322,0.918336,0.966602,1,3,0,8.25707,0.306991 --6.84322,0.527515,0.966602,2,3,0,9.55306,0.306991 --6.83451,0.965951,0.966602,1,3,0,7.05239,0.200562 --6.75789,0.963132,0.966602,2,3,0,7.1099,0.267824 --7.40886,0.817553,0.966602,2,3,0,7.97497,0.408147 --8.48099,0.705086,0.966602,1,1,0,8.5642,0.513248 --7.45663,1,0.966602,1,1,0,8.24558,0.414128 --7.04905,1,0.966602,1,1,0,7.36682,0.354197 --6.78546,0.974386,0.966602,1,3,0,7.18869,0.216878 --7.13675,0.945406,0.966602,2,3,0,7.2537,0.151863 --7.2283,0.99497,0.966602,2,3,0,7.2782,0.142551 --7.74397,0.926512,0.966602,1,1,0,7.7459,0.105859 --8.598,0.909603,0.966602,1,1,0,8.5994,0.0710015 --8.76546,0.977021,0.966602,2,7,0,8.77754,0.53482 --7.35164,0.712671,0.966602,1,3,0,10.6829,0.131781 --6.97193,0.932891,0.966602,1,3,0,8.06886,0.339138 --7.3787,0.753244,0.966602,2,7,0,8.33828,0.129633 --6.7505,1,0.966602,2,3,0,7.26141,0.258874 --6.75219,0.998862,0.966602,2,3,0,6.7593,0.261529 --6.82206,0.982123,0.966602,2,3,0,6.87519,0.300025 --6.74802,0.999746,0.966602,1,3,0,6.82032,0.249684 --6.76778,0.995097,0.966602,1,3,0,6.77307,0.225717 --6.84957,0.986593,0.966602,1,3,0,6.85086,0.196676 --6.81466,1,0.966602,1,1,0,6.84957,0.206319 --6.75356,0.938172,0.966602,2,3,0,7.32302,0.263312 --6.76361,0.983898,0.966602,2,3,0,6.84824,0.228374 --6.75886,0.992822,0.966602,2,3,0,6.82068,0.268698 --7.11985,0.897662,0.966602,2,3,0,7.43338,0.366521 --6.80828,0.961937,0.966602,1,3,0,7.32988,0.208367 --6.78824,0.989576,0.966602,1,3,0,6.90893,0.286514 --7.53438,0.881095,0.966602,2,3,0,7.53829,0.118455 --7.20451,1,0.966602,1,1,0,7.49909,0.144847 --7.18837,1,0.966602,1,1,0,7.28153,0.14645 --7.62327,0.935768,0.966602,1,1,0,7.62774,0.112819 --6.99369,0.980583,0.966602,1,3,0,7.53035,0.169875 --6.9291,1,0.966602,1,1,0,7.00356,0.180239 --6.908,0.959699,0.966602,1,3,0,7.29697,0.324714 --7.62102,0.805307,0.966602,1,1,0,7.62149,0.43338 --8.76557,0.686718,0.966602,1,1,0,8.90052,0.534829 --7.41134,1,0.966602,1,1,0,8.39035,0.408463 --6.78471,0.895349,0.966602,2,3,0,8.05209,0.284836 --6.74924,1,0.966602,2,3,0,6.78046,0.24386 --6.94964,0.968122,0.966602,2,3,0,7.00759,0.334354 --7.09942,0.850603,0.966602,1,3,0,7.74012,0.156082 --7.10533,0.999658,0.966602,2,3,0,7.17332,0.155395 --6.99135,1,0.966602,2,3,0,7.10733,0.170219 --6.80459,0.971662,0.966602,1,3,0,7.20103,0.293527 --8.68882,0.421158,0.966602,2,3,0,10.8432,0.529182 --6.83957,0.975198,0.966602,1,3,0,8.98364,0.199216 --9.18486,0.728577,0.966602,2,3,0,9.99112,0.563722 --7.41553,0.699882,0.966602,1,3,0,11.3464,0.126816 --8.35012,0.930407,0.966602,2,7,0,8.37405,0.502682 --7.75615,1,0.966602,1,1,0,8.3824,0.447938 --7.54125,1,0.966602,1,1,0,7.89306,0.424275 --6.7575,0.99479,0.966602,1,3,0,7.56111,0.233055 --8.58887,0.606877,0.966602,1,3,0,9.51704,0.0712824 --7.29732,0.94998,0.966602,1,3,0,8.48174,0.136312 --7.02296,1,0.966602,1,1,0,7.25568,0.165731 --6.84619,1,0.966602,1,1,0,6.98767,0.197518 --8.24261,0.767078,0.966602,1,3,0,8.59591,0.0831507 --12.5623,0.729936,0.966602,1,3,0,13.9484,0.0159348 --14.3334,0.970236,0.966602,1,1,0,14.3338,0.00863631 --14.2753,1,0.966602,2,3,0,14.7657,0.00880995 --14.8334,0.78244,0.966602,3,7,0,14.941,0.0072806 --16.5724,0.986417,0.966602,1,1,0,16.5761,0.004038 --16.0437,1,0.966602,1,1,0,16.8205,0.00482768 --17.2761,0.997779,0.966602,2,3,0,17.3386,0.00318551 --16.2618,1,0.966602,1,1,0,17.3791,0.00448449 --16.1927,1,0.966602,1,1,0,16.7051,0.00459053 --11.0701,1,0.966602,2,3,0,16.2374,0.0271178 --10.8418,1,0.966602,2,3,0,11.349,0.0294763 --10.2761,1,0.966602,1,1,0,10.9695,0.0363613 --7.30292,0.940953,0.966602,1,3,0,10.696,0.13583 --7.10205,0.907511,0.966602,2,3,0,8.21623,0.363531 --7.24006,0.958251,0.966602,1,1,0,7.31956,0.385193 --6.77987,1,0.966602,1,3,0,7.12422,0.282394 --7.32486,0.88705,0.966602,1,3,0,7.34306,0.397117 --6.96417,0.891559,0.966602,1,3,0,7.96288,0.174375 --6.74819,0.85225,0.966602,2,3,0,8.59785,0.24768 --7.01409,0.668163,0.966602,2,3,0,9.12891,0.166957 --8.49933,0.908044,0.966602,2,3,0,8.60889,0.514694 --7.0889,1,0.966602,1,1,0,8.05555,0.361279 --6.76176,1,0.966602,1,3,0,7.01802,0.27109 --7.51593,0.77803,0.966602,2,3,0,8.22588,0.421295 --7.6048,0.591678,0.966602,1,3,0,9.74973,0.113951 --8.24214,0.925993,0.966602,1,1,0,8.25167,0.0831685 --6.74825,0.936803,0.966602,1,3,0,8.69345,0.252699 --6.76699,0.961748,0.966602,2,3,0,6.97322,0.226198 --7.12721,0.92873,0.966602,1,3,0,7.18502,0.152914 --7.01488,1,0.966602,1,1,0,7.13368,0.166847 --6.94238,1,0.966602,1,1,0,7.02403,0.177944 --6.93141,1,0.966602,1,1,0,6.97602,0.179832 --6.81341,1,0.966602,1,1,0,6.90694,0.206712 --6.82098,0.998368,0.966602,1,1,0,6.8338,0.204394 --6.74974,0.997303,0.966602,1,3,0,6.83876,0.257384 --6.96379,0.951444,0.966602,1,3,0,6.99069,0.337416 --7.05345,0.991194,0.966602,2,3,0,7.09871,0.354998 --7.06163,0.771902,0.966602,2,3,0,8.35282,0.356476 --6.75058,1,0.966602,1,3,0,7.01688,0.259018 --6.98593,0.935367,0.966602,1,3,0,7.10131,0.171023 --6.75019,0.919599,0.966602,2,3,0,7.66652,0.241828 --7.10112,0.94723,0.966602,2,3,0,7.15146,0.155884 --6.98823,1,0.966602,1,1,0,7.103,0.17068 --6.99489,0.99876,0.966602,1,1,0,7.04269,0.169699 --7.1192,0.963507,0.966602,2,3,0,7.44766,0.153812 --9.18538,0.778222,0.966602,1,3,0,9.61437,0.0555592 --7.56102,0.930116,0.966602,1,3,0,9.09274,0.116715 +# 0.408606 +-6.9790249,1,1.0750124,2,3,0,7.2068685,0.17206648 +-7.1694994,0.91887577,1.0750124,1,3,0,7.6963664,0.37452719 +-7.1010086,1,1.0750124,1,1,0,7.245302,0.36335431 +-8.1532916,0.69834328,1.0750124,1,1,0,8.1817503,0.48589973 +-6.9596473,1,1.0750124,1,1,0,7.7565735,0.33652969 +-6.8077667,0.90268605,1.0750124,2,3,0,7.4372147,0.2947721 +-6.9465646,0.88648322,1.0750124,2,3,0,7.3936658,0.17724061 +-7.4692166,0.92422618,1.0750124,1,3,0,7.4743938,0.12291022 +-7.5328071,0.99047875,1.0750124,1,1,0,7.6491059,0.11855909 +-7.4931582,1,1.0750124,2,3,0,7.6543813,0.1212388 +-7.6145133,0.98233435,1.0750124,1,1,0,7.7169058,0.11335344 +-6.9821424,0.98492043,1.0750124,2,3,0,7.8451966,0.17159353 +-6.8247035,1,1.0750124,1,1,0,6.9477564,0.2033023 +-7.6386188,0.86000608,1.0750124,1,3,0,7.7433404,0.11189212 +-7.7041915,0.99094536,1.0750124,1,1,0,7.8437858,0.10807258 +-7.9099499,0.94591512,1.0750124,2,3,0,8.7751042,0.097357739 +-6.9329079,0.88261279,1.0750124,1,3,0,8.7034502,0.33060188 +-6.8036123,0.91617625,1.0750124,2,3,0,7.3484249,0.2931374 +-6.7554263,0.99647659,1.0750124,1,3,0,6.8256911,0.234998 +-6.7609172,0.99861107,1.0750124,1,1,0,6.7618373,0.23029271 +-7.233174,0.89993386,1.0750124,1,3,0,7.319565,0.14209137 +-6.7996735,0.99264297,1.0750124,2,3,0,7.3015345,0.21132832 +-6.8606185,0.98606204,1.0750124,1,1,0,6.8634236,0.19402716 +-6.8264215,1,1.0750124,1,1,0,6.864215,0.20280876 +-6.9833452,0.96617852,1.0750124,1,1,0,6.9836108,0.1714121 +-6.9225008,1,1.0750124,1,1,0,6.9958435,0.18141603 +-6.8775957,1,1.0750124,1,1,0,6.9324561,0.19023296 +-6.8133764,0.9707008,1.0750124,2,3,0,7.1262571,0.2968968 +-7.0337304,0.97361184,1.0750124,2,3,0,7.0352694,0.35136035 +-7.0173872,1,1.0750124,1,1,0,7.1076886,0.34825676 +-7.0173872,0.68776539,1.0750124,1,3,0,8.2912239,0.34825676 +-6.8835834,0.80873973,1.0750124,2,3,0,7.952896,0.3185142 +-7.2156345,0.85034836,1.0750124,1,3,0,7.7687868,0.14376355 +-6.7795,1,1.0750124,2,3,0,7.1125444,0.28220185 +-11.679138,0.38678961,1.0750124,2,3,0,11.93228,0.69102281 +-12.7398,1,1.0750124,2,7,0,12.740109,0.014975594 +-8.0706528,0.95579247,1.0750124,1,3,0,13.80292,0.090084521 +-6.901155,0.87611399,1.0750124,1,3,0,8.8763532,0.32302249 +-6.750974,0.99834243,1.0750124,1,3,0,6.9064322,0.24047791 +-6.8345891,0.98348646,1.0750124,2,3,0,6.8700868,0.20054124 +-6.8488961,0.99677749,1.0750124,1,1,0,6.8660752,0.19684201 +-7.3426438,0.7195287,1.0750124,2,3,0,8.982269,0.13251076 +-7.4240533,0.98708638,1.0750124,1,1,0,7.5159454,0.12618089 +-7.5544985,0.951272,1.0750124,2,3,0,8.2666907,0.11713713 +-7.3490582,1,1.0750124,1,1,0,7.5836542,0.1319898 +-7.001381,1,1.0750124,2,3,0,7.2868155,0.16875749 +-6.8191233,0.96797533,1.0750124,1,3,0,7.2048232,0.29898633 +-6.7754026,0.97396499,1.0750124,2,3,0,6.9638017,0.2799826 +-6.787578,0.99650752,1.0750124,1,1,0,6.7930542,0.28620591 +-6.9974568,0.92607816,1.0750124,2,3,0,7.2099407,0.16932487 +-8.6658843,0.7820296,1.0750124,1,3,0,8.9300406,0.068956423 +-7.4061729,0.94562023,1.0750124,1,3,0,8.5225169,0.127521 +-6.7965576,1,1.0750124,2,3,0,7.2560354,0.29022322 +-6.7872095,1,1.0750124,2,3,0,6.8031045,0.28603225 +-6.7623338,1,1.0750124,2,3,0,6.7811004,0.27153486 +-6.7623338,0.7146417,1.0750124,1,3,0,8.1345294,0.27153486 +-6.8223562,0.98297173,1.0750124,1,1,0,6.8223598,0.30012699 +-7.0507853,0.8720874,1.0750124,2,3,0,7.5611507,0.16204194 +-6.9239241,1,1.0750124,2,3,0,7.0389854,0.18115983 +-6.7861292,0.94643743,1.0750124,2,3,0,7.3394301,0.28551864 +-6.8669838,0.96327602,1.0750124,1,3,0,6.9992562,0.19256843 +-7.0173256,0.96875662,1.0750124,1,1,0,7.0210582,0.16650672 +-6.8754897,1,1.0750124,2,3,0,6.9929669,0.19068743 +-6.8754897,0.89191922,1.0750124,1,3,0,7.4991606,0.19068743 +-6.8754897,0.95222208,1.0750124,1,3,0,7.1215192,0.19068743 +-7.0097772,0.99072124,1.0750124,2,3,0,7.0159107,0.1675616 +-6.8355935,0.98615688,1.0750124,2,3,0,7.1636593,0.20027079 +-7.7566604,0.89349965,1.0750124,2,3,0,7.9925768,0.44799054 +-7.1691002,1,1.0750124,2,3,0,7.6260937,0.3744646 +-6.7482159,1,1.0750124,1,3,0,7.1189184,0.24754239 +-6.7480247,1,1.0750124,1,3,0,6.7481873,0.24969705 +-7.0144951,0.93540961,1.0750124,1,3,0,7.054451,0.34769865 +-6.7491936,0.9899661,1.0750124,2,3,0,7.0796804,0.24398133 +-7.1233626,0.93950474,1.0750124,2,3,0,7.1895711,0.15334391 +-6.8553301,0.9520569,1.0750124,1,3,0,7.4346889,0.31065279 +-6.8994539,0.98657658,1.0750124,1,1,0,6.9234304,0.32259688 +-6.7538389,0.98032319,1.0750124,2,3,0,7.0161238,0.26364163 +-6.867079,0.90055569,1.0750124,2,3,0,7.3345757,0.19254696 +-6.9534012,0.98169607,1.0750124,1,1,0,6.9639827,0.17611041 +-6.9534012,0.36621091,1.0750124,1,3,0,13.039489,0.17611041 +-6.7600078,0.94076047,1.0750124,2,3,0,7.5122711,0.26967814 +-6.8039798,0.92781936,1.0750124,2,3,0,7.1420677,0.2098154 +-6.7514048,0.93388979,1.0750124,2,3,0,7.3100192,0.2398132 +-6.7719591,0.99346996,1.0750124,1,3,0,6.7871941,0.27799127 +-6.7842435,0.99649031,1.0750124,1,1,0,6.7887625,0.2846052 +-7.3482483,0.71734321,1.0750124,2,3,0,8.3745291,0.40025921 +-6.9145005,1,1.0750124,1,1,0,7.2195902,0.32628869 +-6.8782729,0.94954486,1.0750124,1,3,0,7.2040468,0.19008771 +-6.7505797,0.99484344,1.0750124,1,3,0,6.8977354,0.25901087 +-6.832708,0.98092564,1.0750124,1,3,0,6.837764,0.30363143 +-6.8743489,0.90362213,1.0750124,2,3,0,7.3179559,0.3160364 +-7.5774423,0.71118379,1.0750124,1,3,0,8.4001948,0.11566521 +-6.852463,0.99405799,1.0750124,1,3,0,7.4893089,0.19596669 +-6.9856278,0.97183015,1.0750124,1,1,0,6.9890992,0.17106935 +-6.9854795,0.9746995,1.0750124,2,3,0,7.3313766,0.17109156 +-7.1190875,0.79002367,1.0750124,2,3,0,8.8895101,0.15382424 +-7.0342075,1,1.0750124,1,1,0,7.1431511,0.16421281 +-7.0434625,0.99940251,1.0750124,2,3,0,7.1032339,0.16299133 +-6.9932162,1,1.0750124,1,1,0,7.0744215,0.16994426 +-6.7558708,0.99729141,1.0750124,2,3,0,7.0086359,0.23456079 # -# Elapsed Time: 0.010912 seconds (Warm-up) -# 0.023346 seconds (Sampling) -# 0.034258 seconds (Total) +# Elapsed Time: 0.001 seconds (Warm-up) +# 0 seconds (Sampling) +# 0.001 seconds (Total) # diff --git a/test/data/runset-bad/bad-cols-bern-2_config.json b/test/data/runset-bad/bad-cols-bern-2_config.json new file mode 100644 index 00000000..957b5939 --- /dev/null +++ b/test/data/runset-bad/bad-cols-bern-2_config.json @@ -0,0 +1,66 @@ + +{ + "stan_major_version" : "2", + "stan_minor_version" : "37", + "stan_patch_version" : "0", + "model_name" : "bernoulli_model", + "start_datetime" : "2026-07-20 16:58:36 UTC", + "method" : { + "value" : "sample", + "sample" : { + "num_samples" : 100, + "num_warmup" : 1000, + "save_warmup" : false, + "thin" : 1, + "adapt" : { + "engaged" : true, + "gamma" : 0.05, + "delta" : 0.8, + "kappa" : 0.75, + "t0" : 10, + "init_buffer" : 75, + "term_buffer" : 50, + "window" : 25, + "save_metric" : true + }, + "algorithm" : { + "value" : "hmc", + "hmc" : { + "engine" : { + "value" : "nuts", + "nuts" : { + "max_depth" : 10 + } + }, + "metric" : { + "value" : "diag_e" + }, + "metric_file" : "", + "stepsize" : 1, + "stepsize_jitter" : 0 + } + }, + "num_chains" : 1 + } + }, + "id" : 2, + "data" : { + "file" : "test\/data\/bernoulli.data.json" + }, + "init" : "2", + "random" : { + "seed" : 12345 + }, + "output" : { + "file" : "\/tmp\/tmpuisjazeu\/bernoullik799pfr2\/bernoulli-20260720125836_2.csv", + "diagnostic_file" : "", + "refresh" : 100, + "sig_figs" : 8, + "profile_file" : "profile.csv", + "save_cmdstan_config" : true + }, + "num_threads" : 1, + "mpi_enabled" : false, + "stanc_version" : "stanc3 v2.37.0", + "stancflags" : "--filename-in-msg=bernoulli.stan" +} diff --git a/test/data/runset-bad/bad-cols-bern-3.csv b/test/data/runset-bad/bad-cols-bern-3.csv index 5fe0f279..28880646 100644 --- a/test/data/runset-bad/bad-cols-bern-3.csv +++ b/test/data/runset-bad/bad-cols-bern-3.csv @@ -1,22 +1,24 @@ # stan_version_major = 2 -# stan_version_minor = 19 -# stan_version_patch = 1 +# stan_version_minor = 37 +# stan_version_patch = 0 # model = bernoulli_model +# start_datetime = 2026-07-20 16:58:36 UTC # method = sample (Default) # sample -# num_samples = 1000 (Default) +# num_samples = 100 # num_warmup = 1000 (Default) -# save_warmup = 0 (Default) +# save_warmup = false (Default) # thin = 1 (Default) # adapt -# engaged = 1 (Default) -# gamma = 0.050000000000000003 (Default) -# delta = 0.80000000000000004 (Default) +# engaged = true (Default) +# gamma = 0.05 (Default) +# delta = 0.8 (Default) # kappa = 0.75 (Default) # t0 = 10 (Default) # init_buffer = 75 (Default) # term_buffer = 50 (Default) # window = 25 (Default) +# save_metric = true # algorithm = hmc (Default) # hmc # engine = nuts (Default) @@ -26,1023 +28,130 @@ # metric_file = (Default) # stepsize = 1 (Default) # stepsize_jitter = 0 (Default) +# num_chains = 1 (Default) # id = 3 # data -# file = /Users/mitzi/github/stan-dev/cmdstanpy/test/files-data/bernoulli.data.R +# file = test/data/bernoulli.data.json # init = 2 (Default) # random -# seed = 73255 +# seed = 12345 # output -# file = /Users/mitzi/github/stan-dev/cmdstanpy/test/files-tmp/bernoulli.output-3.csv +# file = /tmp/tmpuisjazeu/bernoullik799pfr2/bernoulli-20260720125836_3.csv # diagnostic_file = (Default) # refresh = 100 (Default) +# sig_figs = 8 (Default) +# profile_file = profile.csv (Default) +# save_cmdstan_config = true +# num_threads = 1 (Default) +# stanc_version = stanc3 v2.37.0 +# stancflags = --filename-in-msg=bernoulli.stan lp__,accept_stat__,stepsize__,treedepth__,n_leapfrog__,divergent__,energy__,theta # Adaptation terminated -# Step size = 1.04222 +# Step size = 1.03379 # Diagonal elements of inverse mass matrix: -# 0.431998 --6.89699,0.962315,1.04222,1,3,0,6.93209,0.321977 --7.38538,0.798537,1.04222,1,3,0,8.10844,0.129114 --7.73276,0.949912,1.04222,1,1,0,7.76949,0.106475 --7.41074,1,1.04222,1,1,0,7.72945,0.127176 --6.7536,0.967861,1.04222,1,3,0,7.5416,0.263357 --6.99984,0.960965,1.04222,2,3,0,7.01982,0.16898 --6.87083,1,1.04222,1,1,0,6.97861,0.191709 --6.80213,0.980568,1.04222,2,3,0,7.00862,0.292541 --7.16018,0.797992,1.04222,2,3,0,7.86732,0.14935 --7.1456,1,1.04222,1,1,0,7.23594,0.150902 --6.81869,0.9957,1.04222,1,3,0,7.0842,0.205081 --6.88444,0.985394,1.04222,1,1,0,6.88955,0.188785 --6.83213,0.986213,1.04222,2,3,0,7.03699,0.20121 --6.90722,0.965911,1.04222,1,3,0,7.10965,0.324523 --6.90722,0.773363,1.04222,1,3,0,7.85622,0.324523 --6.80688,0.925383,1.04222,2,3,0,7.28456,0.294427 --6.91396,0.936928,1.04222,2,3,0,7.17656,0.18298 --6.82734,1,1.04222,2,3,0,6.89906,0.202547 --6.77126,1,1.04222,1,1,0,6.81402,0.223717 --6.85724,0.985405,1.04222,1,3,0,6.85764,0.194821 --6.8784,0.971887,1.04222,1,3,0,7.10681,0.317132 --6.74878,0.99775,1.04222,2,3,0,6.8949,0.245158 --6.75075,0.999488,1.04222,1,1,0,6.75076,0.240842 --6.7809,0.993709,1.04222,1,3,0,6.78232,0.218894 --7.3558,0.888809,1.04222,1,3,0,7.44073,0.131446 --7.38337,0.995611,1.04222,1,1,0,7.49296,0.12927 --6.99076,1,1.04222,1,1,0,7.31115,0.170305 --7.04572,0.98931,1.04222,1,1,0,7.08458,0.162697 --6.92353,1,1.04222,1,1,0,7.03531,0.181231 --6.86776,1,1.04222,1,1,0,6.92695,0.192395 --6.81684,0.97743,1.04222,2,3,0,7.0732,0.298167 --6.75849,1,1.04222,1,3,0,6.80051,0.268371 --6.76645,0.994456,1.04222,2,3,0,6.79563,0.226528 --6.81395,0.983082,1.04222,1,3,0,6.87244,0.29711 --6.89073,0.977276,1.04222,1,1,0,6.89919,0.320379 --6.81452,0.924323,1.04222,2,3,0,7.27272,0.29732 --7.21484,0.745112,1.04222,2,3,0,8.20053,0.381467 --7.21121,1,1.04222,1,1,0,7.35781,0.380924 --7.21121,0.549877,1.04222,1,1,0,8.37587,0.380924 --6.7481,1,1.04222,1,3,0,7.14328,0.251595 --7.10553,0.909769,1.04222,1,3,0,7.2262,0.155372 --7.88424,0.894661,1.04222,1,3,0,7.89356,0.0986033 --7.37637,1,1.04222,1,1,0,7.82466,0.129816 --6.77142,1,1.04222,2,3,0,7.2403,0.277668 --7.15521,0.939238,1.04222,2,3,0,7.16755,0.149875 --8.03563,0.933542,1.04222,2,3,0,8.04061,0.475286 --7.68301,1,1.04222,1,1,0,8.17128,0.440184 --6.91225,1,1.04222,1,1,0,7.43486,0.325746 --7.41201,0.938425,1.04222,2,3,0,7.42043,0.408548 --7.89245,0.847171,1.04222,1,1,0,8.04597,0.461688 --6.82163,0.970532,1.04222,1,3,0,8.05931,0.204201 --7.04287,0.96509,1.04222,1,3,0,7.04386,0.163069 --11.7547,0.507401,1.04222,2,3,0,13.5726,0.694054 --7.75665,1,1.04222,1,1,0,10.4348,0.447989 --6.88647,1,1.04222,2,3,0,7.47526,0.319274 --6.75271,0.996968,1.04222,1,3,0,6.90072,0.238029 --6.89616,0.961893,1.04222,1,3,0,6.94578,0.321766 --6.85661,1,1.04222,1,1,0,6.90888,0.311029 --6.86397,0.997779,1.04222,1,1,0,6.89402,0.313149 --6.78858,0.954271,1.04222,2,3,0,7.10659,0.286672 --6.91001,0.964722,1.04222,1,1,0,6.91097,0.325202 --6.81258,1,1.04222,2,3,0,6.88728,0.296599 --8.33999,0.574325,1.04222,1,3,0,9.64099,0.0795555 --6.75368,1,1.04222,2,3,0,8.06626,0.23686 --6.82267,0.980168,1.04222,1,3,0,6.8581,0.300236 --7.06873,0.927377,1.04222,1,1,0,7.07064,0.357745 --6.91463,0.928471,1.04222,1,3,0,7.47149,0.182855 --7.20644,0.909827,1.04222,1,3,0,7.64543,0.380206 --7.05696,0.855483,1.04222,1,3,0,7.9401,0.161253 --6.96346,1,1.04222,1,1,0,7.06414,0.174488 --6.94104,1,1.04222,1,1,0,6.99623,0.178172 --7.29402,0.934377,1.04222,1,1,0,7.29404,0.136597 --7.05823,1,1.04222,1,1,0,7.26832,0.161091 --6.7555,1,1.04222,1,3,0,7.03468,0.234928 --6.74996,0.94419,1.04222,2,3,0,7.09195,0.242269 --6.75086,0.952784,1.04222,2,3,0,7.02659,0.240661 --6.75086,0.493173,1.04222,1,3,0,9.30682,0.240661 --6.90533,0.973905,1.04222,2,3,0,6.95349,0.324057 --7.11598,0.935529,1.04222,1,1,0,7.13717,0.365876 --8.27579,0.85241,1.04222,2,3,0,8.30242,0.496477 --6.90291,1,1.04222,2,3,0,8.31319,0.185076 --7.52991,0.912411,1.04222,1,3,0,7.55468,0.118751 --6.99841,0.982884,1.04222,1,3,0,7.43545,0.169187 --7.49045,0.870871,1.04222,1,3,0,8.15165,0.418249 --7.02538,1,1.04222,1,1,0,7.37274,0.349784 --7.46912,0.863734,1.04222,1,1,0,7.5064,0.415661 --7.22062,1,1.04222,1,1,0,7.49954,0.382329 --7.22062,0.891493,1.04222,1,1,0,7.55,0.382329 --7.16424,1,1.04222,1,1,0,7.32216,0.3737 --6.85326,1,1.04222,1,1,0,7.07153,0.31004 --8.14587,0.775092,1.04222,2,3,0,8.14664,0.0869533 --6.84529,0.949427,1.04222,1,3,0,8.86846,0.307631 --6.74975,1,1.04222,1,3,0,6.82695,0.257391 --6.99739,0.794912,1.04222,2,3,0,8.03745,0.169335 --8.28061,0.83963,1.04222,1,3,0,8.41494,0.0817212 --8.98583,0.935377,1.04222,1,1,0,9.03138,0.0602798 --6.76494,0.869607,1.04222,2,7,0,9.85659,0.273448 --6.96374,0.956189,1.04222,1,3,0,6.96711,0.337406 --6.75355,0.996714,1.04222,1,3,0,6.97675,0.237014 --6.75181,0.985964,1.04222,2,3,0,6.83766,0.260985 --7.2173,0.874956,1.04222,1,3,0,7.42856,0.143603 --8.03737,0.890091,1.04222,1,3,0,8.04165,0.0915226 --7.77404,1,1.04222,2,3,0,8.10171,0.104234 --6.76995,1,1.04222,2,3,0,7.67427,0.224449 --6.75033,0.99849,1.04222,1,3,0,6.77842,0.258561 --7.04471,0.912494,1.04222,2,3,0,7.29707,0.353399 --8.09275,0.610398,1.04222,1,3,0,9.80348,0.0891478 --6.78826,0.992626,1.04222,1,3,0,8.1483,0.215705 --6.84591,0.986691,1.04222,1,1,0,6.84737,0.197588 --6.82131,0.984247,1.04222,1,3,0,7.00297,0.29976 --7.05138,0.932064,1.04222,1,1,0,7.05353,0.354621 --6.86061,1,1.04222,1,1,0,7.00351,0.31219 --7.87701,0.789392,1.04222,1,3,0,7.8786,0.460173 --7.50755,0.626916,1.04222,1,3,0,9.79473,0.120254 --9.01919,0.82934,1.04222,1,3,0,9.07789,0.0594569 --8.24201,1,1.04222,1,1,0,8.97768,0.0831736 --7.14512,0.965231,1.04222,1,3,0,8.11024,0.150953 --6.85479,0.993899,1.04222,1,3,0,7.08577,0.195405 --7.03481,0.962707,1.04222,1,1,0,7.03572,0.164133 --7.12436,0.923703,1.04222,1,3,0,7.72962,0.367267 --6.75931,0.998963,1.04222,2,3,0,7.15635,0.231539 --6.99552,0.938052,1.04222,1,3,0,7.08477,0.343966 --6.91612,0.929409,1.04222,1,3,0,7.38516,0.182581 --6.87795,1,1.04222,1,1,0,6.9288,0.190158 --6.81958,0.987476,1.04222,2,3,0,7.01257,0.204811 --7.06055,0.780246,1.04222,2,3,0,8.42086,0.160798 --6.75064,1,1.04222,2,3,0,7.01117,0.259125 --6.79636,0.993327,1.04222,2,3,0,6.80011,0.212541 --6.75708,0.979067,1.04222,2,3,0,6.95626,0.267075 --7.11872,0.74176,1.04222,2,3,0,8.37795,0.153865 --7.55366,0.865701,1.04222,1,3,0,8.43707,0.425719 --6.8867,1,1.04222,1,1,0,7.34065,0.319332 --6.94243,0.994308,1.04222,2,3,0,6.97391,0.332755 --6.94243,0.707673,1.04222,1,1,0,7.64663,0.332755 --7.06113,0.873103,1.04222,1,3,0,7.59185,0.160725 --10.2706,0.557091,1.04222,1,3,0,11.3812,0.0364372 --9.09584,1,1.04222,1,1,0,10.2091,0.0576185 --6.75513,0.854359,1.04222,1,3,0,9.95311,0.265096 --6.84112,0.919944,1.04222,2,3,0,7.21974,0.198812 --7.4261,0.90635,1.04222,1,3,0,7.46611,0.126029 --6.95182,0.986301,1.04222,1,3,0,7.33888,0.17637 --7.19739,0.953654,1.04222,1,1,0,7.20193,0.145549 --6.93741,1,1.04222,2,3,0,7.14924,0.178792 --6.82571,1,1.04222,1,1,0,6.91487,0.203014 --6.8035,1,1.04222,1,1,0,6.82917,0.20998 --6.75304,0.996252,1.04222,1,3,0,6.82353,0.262656 --6.74908,1,1.04222,2,3,0,6.75205,0.244267 --6.98078,0.944928,1.04222,1,3,0,7.03393,0.1718 --7.21609,0.956365,1.04222,1,1,0,7.22423,0.14372 --7.51305,0.952786,1.04222,1,1,0,7.53949,0.119881 --9.63179,0.792342,1.04222,1,3,0,9.85102,0.0465301 --6.74966,1,1.04222,2,3,0,9.01199,0.257195 --6.75261,0.998462,1.04222,2,3,0,6.75968,0.262096 --6.85345,0.97705,1.04222,1,3,0,6.85813,0.310098 --6.74881,1,1.04222,1,3,0,6.83633,0.254974 --6.78473,0.990758,1.04222,2,3,0,6.80906,0.284845 --6.87588,0.973596,1.04222,1,1,0,6.87731,0.316453 --6.75341,0.996547,1.04222,1,3,0,6.89303,0.237181 --7.22662,0.886784,1.04222,1,3,0,7.33384,0.383219 --6.8554,0.768538,1.04222,2,3,0,8.37252,0.310675 --6.77329,1,1.04222,1,1,0,6.83193,0.278775 --6.81694,0.939226,1.04222,2,3,0,7.0952,0.205613 --7.08568,0.977424,1.04222,2,3,0,7.09675,0.360721 --7.35267,0.91542,1.04222,1,1,0,7.42164,0.400847 --7.06102,1,1.04222,1,1,0,7.31551,0.356367 --6.87725,1,1.04222,1,1,0,7.0195,0.316823 --7.01194,0.958966,1.04222,1,1,0,7.03183,0.347204 --6.7855,1,1.04222,1,3,0,6.9447,0.285217 --7.07051,0.901351,1.04222,1,3,0,7.32444,0.159555 --7.31348,0.957515,1.04222,1,1,0,7.3308,0.134932 --7.48449,0.869668,1.04222,1,3,0,8.66697,0.417529 --7.91327,0.861969,1.04222,1,1,0,8.09606,0.463716 --6.75322,1,1.04222,1,3,0,7.65885,0.262886 --6.75491,0.985091,1.04222,2,3,0,6.83577,0.235525 --7.74732,0.784914,1.04222,1,3,0,7.92639,0.447016 --6.89693,1,1.04222,2,3,0,7.472,0.321961 --6.88399,1,1.04222,1,1,0,6.93033,0.318622 --7.24695,0.891242,1.04222,1,1,0,7.25495,0.386196 --9.18936,0.510936,1.04222,1,1,0,9.21778,0.564016 --6.78674,1,1.04222,1,3,0,9.02654,0.216338 --6.79803,0.997326,1.04222,1,1,0,6.80502,0.211923 --6.79803,0.890666,1.04222,1,3,0,7.36304,0.211923 --8.26362,0.707792,1.04222,1,3,0,8.6525,0.495447 --8.29657,0.996158,1.04222,2,3,0,8.80057,0.498227 --7.53168,1,1.04222,1,1,0,8.19712,0.423155 --7.08683,1,1.04222,1,1,0,7.43769,0.36092 --8.30966,0.660467,1.04222,1,1,0,8.32859,0.499324 --6.94084,0.917216,1.04222,1,3,0,8.80791,0.178205 --6.82972,1,1.04222,1,1,0,6.91899,0.201878 --6.77403,0.989389,1.04222,1,3,0,6.90008,0.279202 --6.75229,1,1.04222,1,3,0,6.76808,0.261673 --7.10612,0.943219,1.04222,2,3,0,7.13585,0.155303 --7.27357,0.970753,1.04222,1,1,0,7.30776,0.138394 --7.7851,0.738177,1.04222,2,3,0,10.1448,0.103646 --8.69429,0.900626,1.04222,1,1,0,8.69735,0.0681236 --8.04167,1,1.04222,1,1,0,8.6655,0.0913353 --7.95564,1,1.04222,2,3,0,8.20274,0.0952026 --7.57111,1,1.04222,2,3,0,7.9529,0.116068 --7.8045,0.968377,1.04222,1,1,0,7.88612,0.102628 --7.14877,0.973002,1.04222,1,3,0,7.69827,0.150561 --6.99304,1,1.04222,1,1,0,7.13867,0.16997 --7.39918,0.927961,1.04222,1,1,0,7.3993,0.128053 --6.75212,0.970239,1.04222,1,3,0,7.51753,0.261423 --6.86267,0.974636,1.04222,1,3,0,6.86861,0.312778 --7.03855,0.946848,1.04222,1,1,0,7.05141,0.35226 --6.81631,0.966893,1.04222,1,3,0,7.22176,0.205805 --6.97719,0.973968,1.04222,1,3,0,6.97719,0.172346 --7.06483,0.982997,1.04222,1,1,0,7.094,0.160261 --6.8254,0.99586,1.04222,1,3,0,7.01454,0.203101 --6.76696,0.977572,1.04222,2,3,0,7.00724,0.274834 --6.7484,0.998908,1.04222,2,3,0,6.77368,0.253449 --6.835,0.979023,1.04222,1,3,0,6.8458,0.304379 --6.93906,0.968843,1.04222,1,1,0,6.95047,0.331999 --6.7885,1,1.04222,2,3,0,6.89474,0.286636 --8.48574,0.521462,1.04222,1,3,0,9.8055,0.0745627 --7.0232,0.978247,1.04222,1,3,0,8.40689,0.165699 --6.88882,0.968355,1.04222,1,3,0,7.36055,0.319884 --6.88882,0.489886,1.04222,1,3,0,9.78311,0.319884 --7.63788,0.785311,1.04222,1,1,0,7.6387,0.435253 --7.34361,1,1.04222,1,1,0,7.68716,0.399641 --6.77972,1,1.04222,2,3,0,7.37318,0.21944 --6.77972,0.623955,1.04222,1,3,0,8.95142,0.21944 --6.86255,0.97154,1.04222,1,3,0,6.96165,0.312746 --7.62823,0.871051,1.04222,2,3,0,7.62845,0.112518 --6.79146,0.932326,1.04222,1,3,0,7.97327,0.287989 --7.08604,0.814064,1.04222,2,3,0,7.89079,0.157666 --6.85835,1,1.04222,1,1,0,7.03846,0.194558 --6.98149,0.9511,1.04222,1,3,0,7.2541,0.34112 --7.57659,0.741762,1.04222,1,3,0,8.63626,0.115719 --7.37846,1,1.04222,1,1,0,7.61224,0.129652 --6.96211,0.986974,1.04222,1,3,0,7.30031,0.174703 --7.70057,0.828832,1.04222,1,3,0,8.3474,0.442071 --8.08739,0.873545,1.04222,1,1,0,8.34828,0.480013 --7.13942,1,1.04222,1,1,0,7.80523,0.369731 --7.32495,0.940194,1.04222,1,1,0,7.41977,0.397129 --6.7542,1,1.04222,1,3,0,7.30215,0.236281 --6.85089,0.973009,1.04222,1,3,0,6.89475,0.309334 --6.75904,1,1.04222,1,3,0,6.82579,0.268856 --6.75739,0.997552,1.04222,1,3,0,6.7791,0.233153 --6.74844,0.962153,1.04222,2,3,0,6.98316,0.25361 --6.74909,0.999826,1.04222,1,1,0,6.74911,0.255803 --6.80432,0.932794,1.04222,2,3,0,7.14677,0.209699 --6.76179,0.981438,1.04222,2,3,0,6.95403,0.271115 --6.8403,0.905401,1.04222,2,3,0,7.26499,0.199027 --6.78327,0.990017,1.04222,2,3,0,6.93089,0.284124 --6.75396,0.99735,1.04222,1,3,0,6.80083,0.236547 --6.83961,0.982441,1.04222,2,3,0,6.88329,0.199207 --6.90371,0.986042,1.04222,1,1,0,6.91256,0.184921 --7.37138,0.931476,1.04222,1,3,0,7.37795,0.130207 --7.38803,0.99736,1.04222,1,1,0,7.50366,0.128908 --7.60567,0.967699,1.04222,1,1,0,7.66823,0.113897 --7.52359,0.861611,1.04222,1,3,0,9.19641,0.422201 --7.44323,1,1.04222,1,1,0,7.7069,0.41247 --6.82342,0.95953,1.04222,1,3,0,7.64724,0.203676 --6.75374,0.90331,1.04222,2,3,0,7.49537,0.23679 --6.75281,0.98912,1.04222,2,3,0,6.82017,0.262369 --6.79247,0.991539,1.04222,1,3,0,6.79301,0.288442 --6.83202,0.988491,1.04222,1,1,0,6.83859,0.303403 --6.83202,0.236674,1.04222,2,7,0,11.3606,0.303403 --6.83202,0.851386,1.04222,1,3,0,7.52622,0.303403 --7.56836,0.598672,1.04222,2,3,0,9.48551,0.116244 --8.95935,0.838128,1.04222,1,3,0,8.99167,0.0609432 --8.38103,1,1.04222,1,1,0,8.98122,0.0781045 --7.74215,1,1.04222,1,1,0,8.32757,0.105959 --7.80914,0.991235,1.04222,1,1,0,7.96084,0.102387 --6.9708,0.981159,1.04222,1,3,0,7.69542,0.173333 --6.81679,1,1.04222,1,1,0,6.9369,0.205658 --6.83077,0.996814,1.04222,1,1,0,6.84394,0.201587 --6.95041,0.955148,1.04222,1,3,0,7.1668,0.334523 --7.69632,0.676394,1.04222,2,7,0,8.80454,0.108519 --7.25415,1,1.04222,1,1,0,7.63924,0.140145 --6.86169,0.992433,1.04222,1,3,0,7.1802,0.193778 --6.77971,0.872246,1.04222,2,3,0,8.02782,0.219448 --6.83849,0.986271,1.04222,1,1,0,6.83899,0.199501 --6.77261,1,1.04222,1,1,0,6.82284,0.222985 --6.75935,0.974114,1.04222,2,3,0,6.93835,0.269124 --7.03102,0.918733,1.04222,1,3,0,7.18872,0.164639 --6.89659,1,1.04222,1,1,0,7.01212,0.186315 --7.06394,0.988808,1.04222,2,3,0,7.06932,0.160372 --6.99197,1,1.04222,1,1,0,7.08509,0.170127 --7.07717,0.98362,1.04222,1,1,0,7.10944,0.158738 --6.75679,0.913249,1.04222,2,3,0,8.01556,0.266789 --6.79941,0.929305,1.04222,2,3,0,7.13523,0.211425 --7.94111,0.758642,1.04222,1,3,0,8.29034,0.4664 --6.74905,0.826624,1.04222,2,3,0,8.90522,0.255698 --7.31239,0.720293,1.04222,2,3,0,8.41344,0.135024 --6.74807,1,1.04222,2,3,0,7.23004,0.251232 --6.97774,0.941569,1.04222,1,3,0,7.04908,0.172263 --7.32789,0.93656,1.04222,1,1,0,7.32876,0.133725 --7.44976,0.980874,1.04222,1,1,0,7.52743,0.1243 --9.31267,0.806533,1.04222,1,3,0,9.46632,0.0527845 --7.67338,0.923702,1.04222,1,3,0,9.18115,0.10984 --6.77024,0.974495,1.04222,2,3,0,7.96037,0.276943 --7.5398,0.832932,1.04222,1,3,0,7.5683,0.424106 --7.017,0.875157,1.04222,1,3,0,8.23552,0.166553 --6.75067,1,1.04222,1,3,0,7.00478,0.240984 --7.03926,0.928452,1.04222,1,3,0,7.1061,0.352391 --6.79869,1,1.04222,1,1,0,6.96677,0.291125 --7.79586,0.790218,1.04222,1,3,0,7.8135,0.452033 --8.46986,0.789363,1.04222,1,1,0,8.73279,0.512366 --7.81625,1,1.04222,1,1,0,8.51229,0.454107 --7.35637,1,1.04222,1,1,0,7.7954,0.401337 --7.5747,0.928163,1.04222,1,1,0,7.73768,0.428145 --7.5747,0.608821,1.04222,1,1,0,8.63053,0.428145 --8.84905,0.640396,1.04222,1,1,0,8.99155,0.540836 --7.37949,1,1.04222,1,1,0,8.41461,0.404369 --7.14555,1,1.04222,1,1,0,7.39281,0.370723 --6.77347,0.985092,1.04222,1,3,0,7.21612,0.222529 --7.29666,0.872981,1.04222,1,3,0,7.4793,0.393248 --7.20862,1,1.04222,1,1,0,7.39758,0.380534 --6.7492,0.95111,1.04222,2,3,0,7.50124,0.256111 --6.85344,0.975226,1.04222,1,3,0,6.86355,0.310094 --7.36349,0.851282,1.04222,1,1,0,7.36416,0.402277 --7.36349,0.656971,1.04222,1,1,0,8.23969,0.402277 --6.77662,0.837959,1.04222,2,3,0,8.17671,0.280657 --6.87106,0.941427,1.04222,2,3,0,7.09723,0.315135 --6.90867,0.996184,1.04222,2,3,0,6.93804,0.324877 --6.93029,0.928261,1.04222,1,3,0,7.29832,0.180029 --7.10455,0.954583,1.04222,2,3,0,7.40897,0.155486 --7.31261,0.964025,1.04222,1,1,0,7.3394,0.135005 --7.09676,1,1.04222,1,1,0,7.29898,0.156394 --6.93487,0.979678,1.04222,2,3,0,7.36755,0.179229 --6.99688,0.947816,1.04222,1,3,0,7.3957,0.344237 --6.96382,1,1.04222,1,1,0,7.04526,0.337422 --6.94267,1,1.04222,1,1,0,7.01133,0.332808 --6.80535,1,1.04222,2,3,0,6.90431,0.29383 --7.15957,0.946224,1.04222,2,3,0,7.16137,0.149414 --6.80582,0.919227,1.04222,2,3,0,7.86892,0.294012 --7.20432,0.859481,1.04222,1,3,0,7.59236,0.144866 --7.42914,0.963395,1.04222,1,1,0,7.46622,0.125805 --6.94444,0.915337,1.04222,1,3,0,8.03267,0.333204 --7.3152,0.887068,1.04222,1,1,0,7.33601,0.395801 --7.64462,0.89363,1.04222,1,1,0,7.78126,0.435997 --7.64462,0.605925,1.04222,1,1,0,8.72732,0.435997 --7.64462,0.354495,1.04222,1,1,0,9.66636,0.435997 --8.22451,0.816545,1.04222,1,1,0,8.44588,0.492105 --7.25691,1,1.04222,1,1,0,7.96153,0.387634 --6.91871,1,1.04222,1,1,0,7.16503,0.327293 --6.80436,1,1.04222,1,1,0,6.88825,0.293435 --6.81931,0.952337,1.04222,2,3,0,7.05637,0.299053 --6.75266,0.997252,1.04222,1,3,0,6.8349,0.238096 --6.82574,0.979404,1.04222,1,3,0,6.85934,0.301296 --6.95057,0.931888,1.04222,2,3,0,7.23062,0.176576 --6.83815,1,1.04222,2,3,0,6.9295,0.19959 --6.75127,0.904726,1.04222,2,3,0,7.50826,0.240015 --7.38861,0.901573,1.04222,2,3,0,7.47497,0.128864 --6.8056,1,1.04222,2,3,0,7.24233,0.293928 --6.76457,1,1.04222,1,1,0,6.79443,0.273183 --6.88472,0.974369,1.04222,1,3,0,6.88542,0.318814 --7.19632,0.906124,1.04222,1,1,0,7.2066,0.378671 --6.80441,0.969005,1.04222,1,3,0,7.35401,0.209667 --6.75969,0.978938,1.04222,2,3,0,6.97089,0.269408 --6.85117,0.980415,1.04222,1,3,0,6.85198,0.309419 --6.77139,1,1.04222,1,1,0,6.82833,0.277647 --6.77139,0.724327,1.04222,1,3,0,8.09073,0.277647 --8.57024,0.521413,1.04222,1,3,0,9.8613,0.0718607 --7.97367,1,1.04222,2,3,0,8.54967,0.0943719 --6.86679,0.996272,1.04222,1,3,0,7.91078,0.192611 --6.77468,0.9991,1.04222,1,3,0,6.8454,0.221905 --7.06814,0.943654,1.04222,1,3,0,7.09241,0.159849 --7.06814,0.875002,1.04222,1,3,0,7.91675,0.159849 --6.77335,0.999786,1.04222,1,3,0,7.02492,0.222595 --6.77041,0.918649,1.04222,2,3,0,7.37678,0.22419 --6.75906,0.935665,1.04222,2,3,0,7.23076,0.231741 --7.45961,0.849621,1.04222,1,3,0,7.6339,0.123593 --7.0272,1,1.04222,1,1,0,7.38239,0.165154 --7.23397,0.962526,1.04222,1,1,0,7.25081,0.142017 --8.47136,0.851007,1.04222,1,3,0,8.52319,0.0750361 --7.18641,0.960784,1.04222,1,3,0,8.34252,0.146648 --6.76981,1,1.04222,1,3,0,7.145,0.224531 --7.19888,0.913802,1.04222,1,3,0,7.25882,0.145402 --6.78008,0.964925,1.04222,1,3,0,7.37553,0.282506 --7.7233,0.7303,1.04222,1,3,0,8.38341,0.107 --8.12395,0.951139,1.04222,1,1,0,8.18436,0.0878493 --7.30093,0.868856,1.04222,2,3,0,10.3303,0.136001 --7.30591,0.999726,1.04222,2,3,0,7.41402,0.135574 --6.7619,1,1.04222,2,3,0,7.19174,0.271199 --7.08787,0.902294,1.04222,1,3,0,7.28326,0.157447 --6.83834,0.958199,1.04222,2,3,0,7.50085,0.305453 --6.77401,0.989221,1.04222,1,3,0,6.9068,0.222248 --6.80545,0.992508,1.04222,1,1,0,6.807,0.209313 --6.77699,0.990538,1.04222,1,3,0,6.87417,0.280862 --7.03516,0.944011,1.04222,1,3,0,7.03705,0.351628 --7.51706,0.852482,1.04222,1,1,0,7.55459,0.421429 --6.79667,0.975741,1.04222,1,3,0,7.63628,0.212424 --6.74931,0.998148,1.04222,1,3,0,6.80449,0.256386 --8.6631,0.552934,1.04222,1,3,0,9.78745,0.0690388 --6.97395,0.988336,1.04222,1,3,0,8.64734,0.172844 --7.42696,0.93299,1.04222,1,3,0,7.42749,0.125965 --6.75834,0.997004,1.04222,1,3,0,7.42617,0.232334 --6.74932,0.942807,1.04222,2,3,0,7.10572,0.243656 --6.74805,0.999965,1.04222,1,3,0,6.74946,0.250911 --6.99851,0.936589,1.04222,1,3,0,7.0763,0.169171 --8.86238,0.752584,1.04222,1,3,0,9.2149,0.0634526 --8.45445,1,1.04222,1,1,0,8.94602,0.0755979 --8.77146,0.970965,1.04222,1,1,0,8.91808,0.065926 --8.80215,0.997359,1.04222,1,1,0,9.07581,0.0650777 --6.82197,0.975761,1.04222,1,3,0,9.01082,0.204101 --6.76216,0.992629,1.04222,1,3,0,6.86659,0.271398 --7.2859,0.88311,1.04222,1,3,0,7.30939,0.391747 --6.77674,0.984346,1.04222,1,3,0,7.35804,0.220871 --7.03341,0.951762,1.04222,1,3,0,7.04995,0.16432 --7.03341,0.927867,1.04222,1,1,0,7.37794,0.16432 --7.11365,0.925453,1.04222,1,3,0,7.71247,0.365486 --6.93853,1,1.04222,1,1,0,7.09126,0.33188 --7.57707,0.692362,1.04222,2,3,0,8.92681,0.115689 --9.99069,0.778201,1.04222,1,3,0,10.3027,0.0405117 --7.00294,0.944998,1.04222,2,7,0,9.2616,0.345441 --8.4972,0.518329,1.04222,1,3,0,10.5557,0.0741884 --7.04679,0.995683,1.04222,2,3,0,8.57031,0.162558 --7.59191,0.863075,1.04222,1,3,0,8.36324,0.430106 --7.07886,1,1.04222,1,1,0,7.46805,0.359531 --7.25955,0.942286,1.04222,1,1,0,7.33543,0.388014 --6.75605,0.999203,1.04222,1,3,0,7.25468,0.234388 --7.01667,0.958768,1.04222,2,3,0,7.09485,0.348118 --6.81397,1,1.04222,1,1,0,6.95702,0.297116 --7.50102,0.853352,1.04222,1,3,0,7.50474,0.419519 --7.89432,0.872597,1.04222,1,1,0,8.0864,0.461871 --7.89432,0.647828,1.04222,1,1,0,8.94172,0.461871 --7.10311,1,1.04222,1,1,0,7.6657,0.363711 --7.17191,0.9777,1.04222,1,1,0,7.27012,0.374904 --8.24747,0.69236,1.04222,1,1,0,8.28995,0.494072 --7.13398,1,1.04222,1,1,0,7.90033,0.368847 --7.37075,0.924181,1.04222,1,1,0,7.45807,0.403229 --6.94235,1,1.04222,1,1,0,7.24933,0.332738 --6.75288,0.977091,1.04222,2,3,0,7.07789,0.262457 --7.05573,0.915445,1.04222,1,3,0,7.19778,0.161409 --7.58042,0.923858,1.04222,1,3,0,7.58052,0.115477 --6.75956,0.992673,1.04222,1,3,0,7.59933,0.231339 --6.74873,0.999417,1.04222,1,3,0,6.76254,0.254714 --8.38011,0.678593,1.04222,1,3,0,8.53063,0.505142 --7.03152,0.874724,1.04222,1,3,0,9.13389,0.164572 --6.8195,0.996396,1.04222,1,3,0,6.9861,0.204835 --7.02221,0.936976,1.04222,1,3,0,7.24229,0.349182 --6.8202,1,1.04222,2,3,0,6.96346,0.29937 --6.96431,0.95725,1.04222,1,1,0,6.9696,0.337527 --7.32258,0.890205,1.04222,1,1,0,7.34911,0.396808 --7.06469,1,1.04222,2,3,0,7.30091,0.357024 --7.45527,0.87848,1.04222,1,1,0,7.50728,0.413961 --10.796,0.314205,1.04222,1,1,0,10.8217,0.652607 --10.796,0.717784,1.04222,1,1,0,12.7201,0.652607 --7.46628,1,1.04222,1,1,0,9.66964,0.415314 --8.05764,0.814513,1.04222,1,1,0,8.21869,0.477308 --7.07602,1,1.04222,1,1,0,7.75067,0.359034 --6.86169,1,1.04222,2,3,0,7.01952,0.3125 --8.0183,0.393395,1.04222,2,3,0,11.4339,0.0923622 --8.13366,0.986791,1.04222,1,1,0,8.30212,0.0874508 --7.09454,0.96965,1.04222,1,3,0,8.00555,0.156655 --7.21404,0.978687,1.04222,1,1,0,7.25619,0.143918 --6.74862,0.992011,1.04222,1,3,0,7.23201,0.245696 --7.00802,0.799067,1.04222,2,3,0,7.94458,0.16781 --6.74853,0.997664,1.04222,1,3,0,7.00695,0.246013 --6.79294,0.989494,1.04222,1,3,0,6.79978,0.21384 --7.34422,0.898194,1.04222,1,3,0,7.40921,0.132383 --7.11542,1,1.04222,1,1,0,7.32922,0.154239 --7.15676,0.992526,1.04222,1,1,0,7.22189,0.14971 --7.32196,0.971949,1.04222,1,1,0,7.36402,0.134219 --7.66376,0.949077,1.04222,1,1,0,7.69475,0.110402 --8.1652,0.925521,1.04222,2,3,0,8.95374,0.086174 --6.75829,0.961851,1.04222,1,3,0,8.33374,0.232377 --7.19292,0.925689,1.04222,2,3,0,7.36063,0.378153 --7.44617,0.918429,1.04222,1,1,0,7.55077,0.412836 --7.44617,0.247944,1.04222,1,1,0,10.1026,0.412836 --7.01805,1,1.04222,1,1,0,7.34142,0.348384 --8.01728,0.715768,1.04222,1,1,0,8.02996,0.473587 --6.97621,1,1.04222,2,3,0,7.67684,0.340029 --6.85836,1,1.04222,2,3,0,6.9562,0.311537 --7.02247,0.950456,1.04222,1,1,0,7.0351,0.349232 --7.02247,0.760827,1.04222,1,1,0,7.58723,0.349232 --6.81458,1,1.04222,2,3,0,6.96113,0.297342 --6.91959,0.945999,1.04222,1,3,0,7.13694,0.181943 --7.73067,0.888695,1.04222,1,3,0,7.7818,0.106591 --6.86271,0.902373,1.04222,2,7,0,8.30185,0.31279 --6.9669,0.968406,1.04222,1,1,0,6.98567,0.338076 --6.85101,1,1.04222,2,3,0,6.94585,0.309369 --6.82529,1,1.04222,1,1,0,6.86089,0.301144 --6.75181,1,1.04222,1,3,0,6.80814,0.26098 --6.76138,0.96435,1.04222,2,3,0,6.94518,0.229948 --6.76138,0.739488,1.04222,1,3,0,8.10141,0.229948 --6.79969,0.895698,1.04222,2,3,0,7.48985,0.211323 --7.12155,0.966614,1.04222,2,3,0,7.15301,0.366803 --7.43876,0.899569,1.04222,1,1,0,7.51414,0.411915 --6.86632,1,1.04222,1,1,0,7.25757,0.313814 --7.03202,0.794104,1.04222,2,3,0,7.92872,0.351039 --6.85383,0.836188,1.04222,2,3,0,7.83325,0.310211 --7.10463,0.9249,1.04222,1,1,0,7.11144,0.363969 --6.87262,1,1.04222,1,1,0,7.04366,0.315564 --6.7529,1,1.04222,1,3,0,6.84501,0.262485 --6.8161,0.980183,1.04222,1,3,0,6.85566,0.20587 --7.68521,0.846814,1.04222,1,3,0,7.81788,0.109156 --7.68521,0.758683,1.04222,1,3,0,10.7608,0.109156 --7.12187,1,1.04222,2,3,0,7.59129,0.153511 --6.80645,0.99664,1.04222,1,3,0,7.06408,0.208976 --6.75052,1,1.04222,1,3,0,6.79745,0.241242 --6.74982,0.98023,1.04222,2,3,0,6.87318,0.242561 --6.79793,0.992613,1.04222,2,3,0,6.80739,0.290804 --6.75031,1,1.04222,1,3,0,6.78725,0.25851 --6.89504,0.959571,1.04222,1,3,0,6.95638,0.186623 --6.79048,1,1.04222,1,1,0,6.87106,0.214806 --9.24283,0.672444,1.04222,2,3,0,9.32424,0.0542853 --6.74841,0.874709,1.04222,2,7,0,10.0124,0.246515 --8.38916,0.627002,1.04222,1,3,0,9.19617,0.0778217 --9.44634,0.911502,1.04222,1,1,0,9.45534,0.0500494 --9.3324,1,1.04222,1,1,0,9.72137,0.0523696 --8.7438,1,1.04222,1,1,0,9.38087,0.0667032 --8.3108,1,1.04222,1,1,0,8.80538,0.0806102 --7.89091,1,1.04222,1,1,0,8.33385,0.0982776 --7.55045,1,1.04222,1,1,0,7.89976,0.1174 --6.94568,0.9848,1.04222,1,3,0,7.44943,0.177388 --7.34161,0.94045,1.04222,1,3,0,7.34181,0.132595 --6.75286,0.972432,1.04222,1,3,0,7.45166,0.262425 --7.58163,0.818906,1.04222,1,3,0,7.64477,0.428937 --7.27568,0.739369,1.04222,1,3,0,8.88598,0.138206 --6.87717,0.919039,1.04222,2,3,0,7.90466,0.316803 --6.8761,0.951767,1.04222,1,3,0,7.15384,0.190555 --7.06557,0.98719,1.04222,2,3,0,7.06748,0.160169 --7.02895,1,1.04222,2,3,0,7.1092,0.164918 --7.39295,0.936434,1.04222,1,1,0,7.39562,0.12853 --6.88741,0.920572,1.04222,2,7,0,7.87415,0.319517 --6.74813,0.992645,1.04222,2,3,0,6.9317,0.251803 --6.75864,0.997143,1.04222,1,3,0,6.76212,0.232085 --6.97113,0.968931,1.04222,2,3,0,7.01964,0.33897 --6.99849,0.991376,1.04222,1,1,0,7.06057,0.344558 --6.78898,1,1.04222,2,3,0,6.95791,0.215411 --6.83464,0.979749,1.04222,1,3,0,6.93888,0.304264 --7.21164,0.85393,1.04222,1,3,0,7.6704,0.14415 --7.85202,0.904299,1.04222,1,1,0,7.85209,0.100199 --6.74808,0.958184,1.04222,1,3,0,8.0211,0.248666 --6.75161,0.999167,1.04222,1,3,0,6.75204,0.239512 --6.75161,0.308783,1.04222,2,7,0,11.0927,0.239512 --6.82503,0.886356,1.04222,2,3,0,7.49627,0.203208 --6.74803,0.999198,1.04222,1,3,0,6.82494,0.250361 --7.01097,0.933838,1.04222,1,3,0,7.09152,0.167394 --7.76364,0.897797,1.04222,1,3,0,7.78221,0.104791 --6.93355,0.865354,1.04222,2,3,0,9.10774,0.330748 --8.03516,0.5545,1.04222,1,3,0,9.42798,0.0916194 --6.88411,0.994052,1.04222,1,3,0,7.96828,0.188854 --7.41737,0.958273,1.04222,2,3,0,7.44606,0.409228 --6.75243,1,1.04222,1,3,0,7.37062,0.238389 --6.76327,0.997261,1.04222,1,1,0,6.7633,0.228606 --6.74913,0.938461,1.04222,2,3,0,7.14245,0.24415 --8.89435,0.527117,1.04222,1,3,0,10.0658,0.062611 --8.78474,1,1.04222,1,1,0,9.12902,0.0655571 --7.5019,0.939597,1.04222,1,3,0,8.643,0.120638 --7.84384,0.98444,1.04222,2,3,0,7.8938,0.100611 --7.06571,0.97463,1.04222,1,3,0,7.72453,0.160152 --7.69698,0.906263,1.04222,2,3,0,8.11961,0.108482 --7.57664,1,1.04222,2,3,0,7.79316,0.115716 --7.44499,1,1.04222,1,1,0,7.64886,0.124645 --6.83897,1,1.04222,2,3,0,7.28726,0.305655 --6.75861,1,1.04222,1,3,0,6.81689,0.268481 --6.83456,0.974126,1.04222,1,3,0,6.8966,0.20055 --7.2173,0.745473,1.04222,2,3,0,8.73385,0.143603 --6.89182,0.991717,1.04222,1,3,0,7.15232,0.18727 --6.75275,1,1.04222,1,3,0,6.87441,0.237976 --6.75008,0.981106,1.04222,2,3,0,6.86387,0.258086 --7.16561,0.89012,1.04222,1,3,0,7.3389,0.148781 --9.37595,0.769674,1.04222,1,3,0,9.77348,0.0514679 --6.79971,0.977287,1.04222,2,3,0,9.90039,0.211315 --6.75119,1,1.04222,2,3,0,6.79047,0.260033 --7.14627,0.908853,1.04222,1,3,0,7.17964,0.370838 --6.93873,1,1.04222,1,1,0,7.11052,0.331925 --6.83644,0.88788,1.04222,2,3,0,7.4917,0.304846 --6.83644,0.924825,1.04222,1,3,0,7.21665,0.304846 --7.13608,0.876535,1.04222,1,3,0,7.54446,0.151936 --8.96709,0.805984,1.04222,1,3,0,9.21879,0.0607483 --6.84478,0.980084,1.04222,1,3,0,9.19602,0.197874 --6.75296,0.95451,1.04222,2,3,0,7.22401,0.262552 --6.77644,0.99731,1.04222,2,3,0,6.77681,0.221017 --7.16218,0.925332,1.04222,1,3,0,7.2038,0.14914 --7.54003,0.93921,1.04222,1,1,0,7.55113,0.118082 --7.61997,0.996186,1.04222,2,3,0,7.74035,0.11302 --7.67887,0.991832,1.04222,1,1,0,7.81707,0.109522 --7.74186,0.991508,1.04222,1,1,0,7.88663,0.105974 --6.76837,0.993671,1.04222,1,3,0,7.76522,0.225366 --6.75555,0.943224,1.04222,2,3,0,7.16736,0.23487 --6.78133,0.99109,1.04222,1,3,0,6.8082,0.283151 --7.57853,0.765686,1.04222,1,3,0,8.14249,0.115596 --7.81694,0.967845,1.04222,1,1,0,7.8982,0.101983 --7.28284,1,1.04222,1,1,0,7.74183,0.137573 --6.85274,0.957507,1.04222,2,3,0,7.76304,0.309887 --6.85274,0.848532,1.04222,1,3,0,7.34478,0.309887 --6.83694,1,1.04222,1,1,0,6.87062,0.305006 --6.79287,0.983927,1.04222,1,3,0,6.9439,0.213864 --7.18629,0.928922,1.04222,1,3,0,7.21647,0.14666 --6.95635,1,1.04222,1,1,0,7.14808,0.17563 --7.12122,0.989443,1.04222,2,3,0,7.13434,0.153584 --7.31714,0.966342,1.04222,1,1,0,7.34827,0.134623 --7.58614,0.986384,1.04222,2,3,0,7.62916,0.115115 --7.15692,1,1.04222,1,1,0,7.52148,0.149694 --7.27124,0.980298,1.04222,1,1,0,7.32456,0.138601 --7.68646,0.937477,1.04222,1,1,0,7.70273,0.109084 --6.97417,0.981689,1.04222,1,3,0,7.57613,0.172811 --10.6201,0.463949,1.04222,2,3,0,12.383,0.0319846 --7.05605,1,1.04222,2,3,0,10.1882,0.161369 --6.74904,0.909508,1.04222,2,3,0,8.13427,0.255682 --6.7654,0.946588,1.04222,2,3,0,7.04304,0.227192 --6.98206,0.800583,1.04222,2,3,0,8.05273,0.171607 --7.4808,0.917946,1.04222,2,3,0,7.84263,0.122096 --6.86086,0.990749,1.04222,2,3,0,7.58931,0.193972 --8.23223,0.77569,1.04222,1,3,0,8.50081,0.0835473 --7.07192,0.971181,1.04222,1,3,0,8.11077,0.159381 --7.35884,0.950396,1.04222,1,1,0,7.37102,0.131203 --6.7672,0.960837,1.04222,1,3,0,7.5381,0.275 --6.76511,0.990796,1.04222,2,3,0,6.82292,0.27357 --6.77529,0.997138,1.04222,1,1,0,6.77823,0.279919 --6.8525,0.977845,1.04222,1,1,0,6.85314,0.309814 --6.83627,0.968319,1.04222,1,3,0,7.04654,0.20009 --6.75732,0.940878,1.04222,2,3,0,7.24356,0.267301 --7.28603,0.80471,1.04222,2,3,0,7.91889,0.391766 --10.3558,0.646361,1.04222,2,3,0,10.3657,0.631094 --8.44657,1,1.04222,2,3,0,10.0542,0.510511 --6.88436,0.955128,1.04222,1,3,0,8.7623,0.188802 --6.7594,0.889235,1.04222,2,3,0,7.71517,0.231464 --6.95504,0.959446,1.04222,1,3,0,6.97473,0.175842 --7.86566,0.881721,1.04222,1,3,0,7.92407,0.0995188 --7.42529,1,1.04222,1,1,0,7.82891,0.126089 --6.83777,1,1.04222,2,3,0,7.27233,0.305271 --6.83836,0.999824,1.04222,1,1,0,6.86404,0.30546 --6.83936,0.926271,1.04222,2,3,0,7.21469,0.305777 --6.82583,0.934693,1.04222,2,3,0,7.1742,0.301326 --7.03687,0.937441,1.04222,1,1,0,7.04028,0.351948 --9.38716,0.449617,1.04222,1,1,0,9.38716,0.576625 --8.40004,1,1.04222,1,1,0,9.4758,0.506764 --8.21637,1,1.04222,1,1,0,8.80161,0.491404 --7.63724,1,1.04222,1,1,0,8.23297,0.435182 --8.43986,0.755147,1.04222,1,1,0,8.63807,0.509974 --6.75014,1,1.04222,1,3,0,8.08284,0.258191 --6.74809,0.999935,1.04222,1,3,0,6.75043,0.248544 --7.49036,0.680666,1.04222,2,3,0,8.73441,0.121432 --7.2914,1,1.04222,1,1,0,7.51264,0.136824 --7.46174,0.973128,1.04222,1,1,0,7.5221,0.123441 --6.82122,0.949368,1.04222,2,3,0,8.04515,0.299728 --6.82122,0.764012,1.04222,1,3,0,7.93625,0.299728 --7.03213,0.877678,1.04222,2,3,0,7.53094,0.16449 --7.30923,0.950794,1.04222,1,1,0,7.31848,0.135292 --7.68384,0.944219,1.04222,1,1,0,7.70869,0.109234 --7.14103,1,1.04222,1,1,0,7.59471,0.151396 --7.71515,0.96993,1.04222,2,3,0,7.71522,0.107455 --8.1059,0.984026,1.04222,2,3,0,8.16755,0.0885971 --7.36897,1,1.04222,1,1,0,8.00102,0.130398 --7.05672,0.926537,1.04222,1,3,0,8.13424,0.355591 --7.06327,0.860511,1.04222,1,3,0,7.75923,0.160456 --7.06327,0.8979,1.04222,1,3,0,7.69575,0.160456 --6.77924,0.9267,1.04222,2,3,0,7.73805,0.282068 --9.16947,0.397504,1.04222,1,3,0,11.099,0.0559183 --6.84203,0.960149,1.04222,2,7,0,8.59675,0.306618 --6.84489,0.999714,1.04222,2,3,0,6.8714,0.307508 --6.75746,1,1.04222,1,3,0,6.82141,0.267426 --6.76238,0.999545,1.04222,2,3,0,6.76406,0.271573 --6.86593,0.96452,1.04222,1,3,0,6.95199,0.192807 --7.21785,0.971083,1.04222,2,3,0,7.22539,0.381917 --6.78924,0.853137,1.04222,2,3,0,7.94524,0.28698 --7.03022,0.844423,1.04222,2,3,0,7.69742,0.164746 --7.01319,1,1.04222,1,1,0,7.07996,0.167082 --7.05415,0.992109,1.04222,1,1,0,7.1007,0.161611 --6.85726,1,1.04222,2,3,0,7.01327,0.194817 --6.74806,0.998425,1.04222,1,3,0,6.85931,0.251086 --9.38415,0.543131,1.04222,1,3,0,9.63162,0.576437 --9.64896,0.971147,1.04222,2,3,0,10.5086,0.59246 --7.69369,1,1.04222,1,1,0,9.09941,0.441334 --6.78597,0.987925,1.04222,1,3,0,7.75901,0.216663 --6.83212,0.980101,1.04222,1,3,0,6.93046,0.303439 --7.41055,0.644106,1.04222,2,3,0,8.83631,0.408363 --6.99785,1,1.04222,1,1,0,7.30711,0.344431 --7.13081,0.958037,1.04222,1,1,0,7.18665,0.368328 --6.75003,0.983919,1.04222,2,3,0,7.23616,0.242142 --6.74853,1,1.04222,1,1,0,6.74964,0.246009 --7.20215,0.891163,1.04222,1,3,0,7.33897,0.145078 --7.20339,0.999784,1.04222,1,1,0,7.29597,0.144957 --6.76945,0.996908,1.04222,2,3,0,7.21898,0.224735 --6.82403,0.995241,1.04222,2,3,0,6.82425,0.300709 --6.96546,0.920921,1.04222,2,3,0,7.28832,0.174171 --7.46611,0.927053,1.04222,1,3,0,7.46873,0.12313 --6.92107,0.907562,1.04222,2,7,0,8.04276,0.327852 --7.38907,0.757367,1.04222,1,3,0,8.16308,0.128828 --6.81026,0.993951,1.04222,2,3,0,7.4433,0.20772 --6.80926,0.986744,1.04222,1,3,0,6.93353,0.295347 --6.80926,0.722145,1.04222,1,3,0,8.14557,0.295347 --6.91668,0.989436,1.04222,2,3,0,6.9218,0.32681 --6.95441,0.918013,1.04222,1,3,0,7.35469,0.175946 --6.95441,0.729061,1.04222,1,3,0,8.89133,0.175946 --7.70675,0.898132,1.04222,1,3,0,7.73684,0.107928 --7.65067,1,1.04222,2,3,0,7.84235,0.111174 --7.65067,0.892763,1.04222,1,1,0,8.46416,0.111174 --6.74877,0.983138,1.04222,2,3,0,7.79792,0.254863 --6.74848,0.999868,1.04222,1,3,0,6.7498,0.246248 --6.74848,0.93642,1.04222,1,3,0,7.01072,0.246248 --6.86613,0.977253,1.04222,2,3,0,6.9126,0.313759 --6.98429,0.964133,1.04222,1,1,0,7.00267,0.341695 --7.16758,0.942572,1.04222,1,1,0,7.21374,0.374226 --6.84373,1,1.04222,2,3,0,7.09421,0.198142 --7.83605,0.645689,1.04222,2,3,0,9.58994,0.101005 --7.88792,0.993465,1.04222,1,1,0,8.0567,0.0984234 --8.59419,0.923978,1.04222,1,1,0,8.61781,0.0711184 --9.03826,0.987473,1.04222,2,3,0,9.1599,0.0589929 --7.03248,0.984425,1.04222,1,3,0,9.0761,0.164444 --6.78965,0.99795,1.04222,1,3,0,6.98617,0.215139 --6.74814,0.999649,1.04222,2,3,0,6.79125,0.248091 --6.74814,0.980641,1.04222,2,3,0,6.85777,0.248063 --6.79739,0.987888,1.04222,1,3,0,6.8073,0.212159 --7.31062,0.907074,1.04222,1,3,0,7.36253,0.135174 --7.50889,0.969257,1.04222,1,1,0,7.56556,0.120163 --6.84733,1,1.04222,2,3,0,7.33637,0.308256 --6.77377,1,1.04222,1,1,0,6.8266,0.279055 --6.77377,0.968494,1.04222,1,1,0,6.85179,0.279055 --6.99281,0.967741,1.04222,2,3,0,6.99735,0.170004 --6.75528,1,1.04222,1,3,0,6.96907,0.235141 --7.89458,0.751628,1.04222,1,3,0,8.29283,0.0980992 --7.89458,0.928857,1.04222,1,1,0,8.50879,0.0980992 --13.6885,0.615718,1.04222,2,3,0,13.722,0.0107772 --12.0962,1,1.04222,1,1,0,13.6672,0.0187758 --7.6458,0.988514,1.04222,2,3,0,13.1384,0.111463 --7.87813,0.989857,1.04222,2,3,0,7.96887,0.0989031 --7.32937,1,1.04222,1,1,0,7.80442,0.133602 --7.10966,1,1.04222,1,1,0,7.31645,0.154897 --6.75693,0.998494,1.04222,2,3,0,7.11053,0.233564 --6.96796,0.769313,1.04222,2,3,0,8.36177,0.173778 --6.7761,0.99891,1.04222,1,3,0,6.93114,0.221184 --6.75333,0.941645,1.04222,2,3,0,7.19422,0.237265 --6.84206,0.982097,1.04222,2,3,0,6.88481,0.198569 --6.88204,0.991227,1.04222,1,1,0,6.8953,0.189287 --7.75432,0.804716,1.04222,1,3,0,8.25887,0.447747 --6.75124,1,1.04222,1,3,0,7.64251,0.240065 --6.77641,0.993894,1.04222,2,3,0,6.79581,0.221033 --7.14891,0.95114,1.04222,2,3,0,7.22644,0.371262 --7.86205,0.785278,1.04222,1,1,0,7.91665,0.458694 --8.91365,0.691297,1.04222,1,1,0,9.16325,0.545394 --7.34147,1,1.04222,1,1,0,8.43001,0.399354 --6.75505,1,1.04222,1,3,0,7.32109,0.235381 --6.91741,0.969902,1.04222,2,3,0,6.97899,0.182343 --9.04477,0.631485,1.04222,1,3,0,9.83652,0.554411 --7.42515,1,1.04222,2,3,0,8.68699,0.1261 --7.05617,1,1.04222,2,3,0,7.36376,0.161353 --7.30058,0.956905,1.04222,1,1,0,7.31603,0.136031 --6.77038,0.981102,1.04222,2,3,0,7.47523,0.277034 --7.17474,0.910308,1.04222,1,3,0,7.18476,0.375346 --8.32481,0.674645,1.04222,1,1,0,8.36484,0.500586 --7.6021,1,1.04222,1,1,0,8.26608,0.431258 --7.35257,0.702248,1.04222,1,3,0,9.08796,0.131707 --6.76334,0.879896,1.04222,2,3,0,8.8454,0.272295 --6.77762,0.991505,1.04222,1,3,0,6.81892,0.22044 --6.84759,0.993909,1.04222,2,3,0,6.84776,0.308335 --6.74808,0.997119,1.04222,2,3,0,6.86594,0.248599 --6.92946,0.955261,1.04222,1,3,0,6.96112,0.32981 --7.03099,0.886549,1.04222,1,3,0,7.51607,0.164644 --7.03099,0.97152,1.04222,1,1,0,7.18266,0.164644 --7.52059,0.928245,1.04222,1,3,0,7.52064,0.119373 --7.64902,0.951918,1.04222,2,3,0,8.41526,0.111272 --7.7375,0.842547,1.04222,1,3,0,9.56364,0.445987 --6.84652,1,1.04222,1,3,0,7.4553,0.308008 --7.16413,0.905753,1.04222,1,1,0,7.16738,0.373683 --7.91877,0.53246,1.04222,1,3,0,9.67645,0.0969359 --6.77218,1,1.04222,2,3,0,7.79076,0.22322 --7.30683,0.921712,1.04222,2,3,0,7.47743,0.394653 --7.12251,1,1.04222,1,1,0,7.33521,0.366961 --6.75575,0.946119,1.04222,2,3,0,7.44494,0.265754 --6.87662,0.962546,1.04222,1,3,0,6.95042,0.190443 --6.81681,1,1.04222,1,1,0,6.86869,0.205652 --8.72811,0.6467,1.04222,1,3,0,9.22905,0.532088 --6.90768,1,1.04222,2,3,0,8.94788,0.184161 --7.49303,0.917204,1.04222,1,3,0,7.51097,0.121248 --6.92142,0.895348,1.04222,2,3,0,8.3573,0.327935 --6.82595,0.968949,1.04222,1,3,0,7.11184,0.202943 --7.34255,0.917631,1.04222,2,3,0,7.54891,0.132519 --6.9387,0.988239,1.04222,1,3,0,7.26563,0.17857 --6.7487,0.999327,1.04222,1,3,0,6.93286,0.245401 --6.7494,0.987563,1.04222,2,3,0,6.82324,0.243479 --7.09141,0.705348,1.04222,2,3,0,8.74535,0.157025 --6.97634,1,1.04222,1,1,0,7.09282,0.172476 --6.9737,0.827374,1.04222,2,3,0,8.58015,0.172883 --6.79542,1,1.04222,2,3,0,6.92681,0.289735 --6.79542,0.651548,1.04222,1,3,0,8.54365,0.289735 --6.79542,0.73316,1.04222,1,3,0,8.06672,0.289735 --7.59208,0.681758,1.04222,2,3,0,8.57714,0.114743 --7.58483,1,1.04222,1,1,0,7.74195,0.115198 --7.19137,1,1.04222,2,3,0,7.53269,0.146149 --7.02896,1,1.04222,1,1,0,7.18492,0.164916 --7.06835,0.992483,1.04222,1,1,0,7.11827,0.159823 --6.87415,1,1.04222,1,1,0,7.02968,0.190979 --6.77924,0.969245,1.04222,2,3,0,7.11724,0.282063 --6.7582,1,1.04222,1,1,0,6.77379,0.268112 --6.81468,0.980019,1.04222,1,3,0,6.86628,0.206314 --6.75979,0.910412,1.04222,2,3,0,7.53886,0.231159 --6.76598,0.999487,1.04222,2,3,0,6.76774,0.226825 --6.75766,0.996189,1.04222,2,3,0,6.79507,0.267618 --7.30008,0.878373,1.04222,1,3,0,7.33103,0.393722 --6.97928,0.894702,1.04222,1,3,0,7.88137,0.172027 --6.80456,0.972517,1.04222,1,3,0,7.1513,0.293517 --7.07249,0.921926,1.04222,1,1,0,7.07258,0.358412 --7.38611,0.901392,1.04222,1,1,0,7.44672,0.405228 --6.77481,0.99908,1.04222,2,3,0,7.45054,0.221835 --6.77331,1,1.04222,1,1,0,6.78041,0.222615 --7.03112,0.952969,1.04222,2,3,0,7.14446,0.164626 --7.27588,0.901547,1.04222,1,3,0,7.92949,0.390338 --6.81925,1,1.04222,1,3,0,7.13466,0.299032 --6.88852,0.979436,1.04222,1,1,0,6.89902,0.319807 --6.74954,0.988468,1.04222,2,3,0,6.95685,0.256935 --7.17018,0.902552,1.04222,1,3,0,7.21223,0.374634 --6.75121,0.983559,1.04222,2,3,0,7.28094,0.24011 --6.83414,0.983722,1.04222,2,3,0,6.86942,0.200662 --6.80649,0.982784,1.04222,2,3,0,6.99067,0.294276 --6.75191,1,1.04222,1,3,0,6.79315,0.26113 --7.11522,0.916161,1.04222,1,3,0,7.14378,0.365749 --7.19427,0.974345,1.04222,1,1,0,7.29496,0.378359 --8.7022,0.595411,1.04222,1,1,0,8.73352,0.530175 --8.13398,1,1.04222,2,3,0,8.89204,0.48419 --7.04508,1,1.04222,1,1,0,7.78246,0.353468 --6.74806,1,1.04222,1,3,0,7.00609,0.251069 --6.84743,0.974426,1.04222,1,3,0,6.8755,0.197206 --7.01827,0.988094,1.04222,2,3,0,7.01909,0.166376 --7.36444,0.890273,1.04222,1,3,0,8.02438,0.402402 --6.85539,1,1.04222,1,1,0,7.20443,0.310669 --6.79695,0.981627,1.04222,1,3,0,6.97426,0.21232 --9.71514,0.475791,1.04222,2,3,0,11.1638,0.0450442 --8.63124,1,1.04222,1,1,0,9.64208,0.0699903 --6.86324,0.929453,1.04222,1,3,0,9.6708,0.312941 --6.83917,0.915935,1.04222,2,3,0,7.28692,0.305716 --6.75234,1,1.04222,2,3,0,6.83301,0.2385 --6.74828,0.991834,1.04222,2,3,0,6.80269,0.252869 --6.74828,0.67839,1.04222,1,3,0,8.067,0.252869 --6.95773,0.949577,1.04222,1,3,0,6.9851,0.336116 --7.61055,0.8073,1.04222,1,1,0,7.62234,0.432208 --7.30317,1,1.04222,1,1,0,7.6408,0.394149 --7.36285,0.980072,1.04222,1,1,0,7.52904,0.402192 --6.74804,1,1.04222,1,3,0,7.27108,0.250656 --6.74935,0.97539,1.04222,2,3,0,6.88568,0.243601 --7.19515,0.894131,1.04222,1,3,0,7.27592,0.378493 --7.48744,0.906292,1.04222,1,1,0,7.58864,0.417885 --6.95958,1,1.04222,1,1,0,7.33173,0.336515 --6.8186,0.896547,1.04222,2,3,0,7.47112,0.298798 --7.76878,0.838408,1.04222,2,3,0,7.77388,0.104515 --6.83123,0.910435,1.04222,1,3,0,8.27998,0.303142 --6.79658,0.957265,1.04222,2,3,0,7.05772,0.290231 --7.24425,0.903405,1.04222,1,3,0,7.24659,0.385804 --6.87469,1,1.04222,1,1,0,7.13348,0.316129 --7.08292,0.875026,1.04222,2,3,0,7.52736,0.158041 --7.12503,0.992239,1.04222,1,1,0,7.18412,0.153158 --7.42634,0.949671,1.04222,1,1,0,7.44232,0.126011 --7.01591,1,1.04222,2,3,0,7.35251,0.166703 --6.79544,0.945038,1.04222,2,3,0,7.48286,0.289743 --7.57069,0.551763,1.04222,2,3,0,9.82666,0.116095 --6.78191,0.864634,1.04222,2,3,0,9.36597,0.283445 --6.75945,0.995834,1.04222,1,3,0,6.81128,0.231426 --6.74845,0.972157,1.04222,2,3,0,6.94087,0.246351 --6.74872,0.996468,1.04222,2,3,0,6.7689,0.254675 --6.75077,0.999212,1.04222,1,3,0,6.75328,0.240811 --6.75141,0.996891,1.04222,2,3,0,6.77091,0.260375 --7.21887,0.875028,1.04222,1,3,0,7.4279,0.143452 --6.90165,0.991459,1.04222,1,3,0,7.15572,0.185321 --6.8351,1,1.04222,1,1,0,6.89473,0.200402 --6.78708,0.876083,1.04222,2,3,0,7.74993,0.216193 --7.37361,0.922098,1.04222,2,3,0,7.52946,0.403604 --6.96797,1,1.04222,1,1,0,7.26616,0.338303 --6.96797,0.674307,1.04222,1,3,0,8.67351,0.338303 --7.54849,0.826666,1.04222,1,1,0,7.56487,0.42512 --7.04936,0.859834,1.04222,1,3,0,8.32194,0.162226 --7.72812,0.905765,1.04222,1,3,0,7.73485,0.106732 --6.81077,1,1.04222,2,3,0,7.49986,0.295921 --6.77486,1,1.04222,1,1,0,6.80311,0.279675 --7.45005,0.586171,1.04222,2,3,0,9.53012,0.124279 --7.82316,0.931816,1.04222,2,3,0,8.51885,0.101663 --8.22402,0.953197,1.04222,1,1,0,8.29366,0.0838628 --7.77638,1,1.04222,1,1,0,8.22568,0.104109 --7.07229,0.912942,1.04222,1,3,0,8.77694,0.358376 --7.52843,0.859088,1.04222,1,1,0,7.57788,0.422772 --7.15935,0.798755,1.04222,1,3,0,8.55506,0.149437 --6.74803,0.991091,1.04222,1,3,0,7.18291,0.249381 --6.7536,0.998552,1.04222,1,3,0,6.75496,0.263352 --6.78195,0.968835,1.04222,2,3,0,6.93165,0.218416 --6.74818,1,1.04222,1,3,0,6.77924,0.247807 --7.13458,0.908088,1.04222,1,3,0,7.1953,0.368945 --7.17007,0.988401,1.04222,1,1,0,7.28371,0.374617 --6.97952,0.894729,1.04222,1,3,0,7.73045,0.171991 --6.7606,0.98524,1.04222,1,3,0,7.04987,0.270169 --6.75038,0.998165,1.04222,2,3,0,6.77302,0.258652 --6.83466,0.975636,1.04222,2,3,0,6.90356,0.304271 --6.83444,0.969798,1.04222,1,3,0,7.01927,0.200581 --8.00133,0.857983,1.04222,2,3,0,8.37393,0.4721 --8.23375,0.973855,1.04222,2,3,0,8.61807,0.492898 --6.81751,1,1.04222,1,3,0,7.8052,0.298409 --6.93285,0.935254,1.04222,2,3,0,7.20061,0.17958 --6.88847,0.969157,1.04222,1,3,0,7.23222,0.319795 --6.75258,0.997054,1.04222,1,3,0,6.90214,0.238195 --8.17989,0.630858,1.04222,2,3,0,9.34424,0.488236 --8.22046,0.98583,1.04222,1,1,0,8.6939,0.491756 --8.18553,1,1.04222,1,1,0,8.68441,0.488728 --6.97015,1,1.04222,1,1,0,7.7834,0.338764 --6.79521,0.917513,1.04222,2,3,0,7.38701,0.289646 --6.74842,0.999599,1.04222,1,3,0,6.79559,0.246504 --6.96912,0.945504,1.04222,1,3,0,7.01101,0.338547 --6.94544,1,1.04222,2,3,0,7.01627,0.333425 --6.76486,0.99019,1.04222,1,3,0,6.99653,0.227541 --6.77113,0.994815,1.04222,1,3,0,6.80876,0.277494 --7.55889,0.82936,1.04222,1,3,0,7.58742,0.426325 --7.29143,1,1.04222,1,1,0,7.60344,0.39252 --7.45883,0.944895,1.04222,1,1,0,7.60623,0.414399 --6.85249,1,1.04222,1,1,0,7.26684,0.309811 --6.88441,0.990366,1.04222,1,1,0,6.90907,0.318733 --6.88441,0.390987,1.04222,1,3,0,10.0704,0.318733 --7.18698,0.908774,1.04222,1,1,0,7.19761,0.377241 --7.13234,1,1.04222,2,3,0,7.27892,0.368579 --6.75589,0.996933,1.04222,1,3,0,7.14075,0.234546 --6.77666,0.998179,1.04222,2,3,0,6.77673,0.280677 --8.05962,0.736603,1.04222,1,3,0,8.10684,0.477488 --7.43189,1,1.04222,1,1,0,7.98879,0.411056 --8.89616,0.600449,1.04222,1,1,0,8.98669,0.544167 --6.74855,1,1.04222,1,3,0,8.51084,0.245959 --6.77191,0.993618,1.04222,1,3,0,6.77997,0.277963 --8.28578,0.69719,1.04222,1,3,0,8.35107,0.49732 --8.28578,0.393482,1.04222,1,1,0,10.3186,0.49732 --7.34195,1,1.04222,1,1,0,8.05467,0.399419 --6.87936,1,1.04222,1,1,0,7.19892,0.317391 --6.87936,0.723163,1.04222,1,3,0,8.05415,0.317391 --6.98096,0.912105,1.04222,1,3,0,7.34821,0.171773 --7.09862,0.977456,1.04222,1,1,0,7.12269,0.156176 --7.04001,0.973423,1.04222,2,3,0,7.491,0.163445 --6.75055,0.98907,1.04222,1,3,0,7.08018,0.258955 --7.64328,0.654573,1.04222,2,3,0,8.86532,0.111613 --7.64328,0.934393,1.04222,1,1,0,8.13861,0.111613 --7.84625,0.973196,1.04222,1,1,0,7.9444,0.10049 --6.81886,1,1.04222,2,3,0,7.58881,0.298894 --6.75306,0.997071,1.04222,1,3,0,6.83565,0.237596 --6.80361,0.902714,1.04222,2,3,0,7.39496,0.209943 --6.74804,0.999742,1.04222,1,3,0,6.80193,0.249305 --6.81136,0.892469,1.04222,2,3,0,7.36207,0.207365 --6.781,1,1.04222,1,1,0,6.807,0.218851 --6.76429,0.993237,1.04222,2,3,0,6.83189,0.272985 --6.77607,0.998897,1.04222,2,3,0,6.77859,0.280353 --6.89639,0.98469,1.04222,2,3,0,6.89694,0.186354 --6.74811,1,1.04222,2,3,0,6.88935,0.248334 --8.53509,0.596879,1.04222,2,3,0,9.46864,0.0729687 --7.01532,0.907913,1.04222,2,3,0,10.2209,0.166785 --6.86108,1,1.04222,1,1,0,6.98552,0.193919 --8.6214,0.783787,1.04222,2,3,0,8.80577,0.0702876 --8.21533,1,1.04222,1,1,0,8.68296,0.0841985 --8.9582,0.930521,1.04222,1,1,0,8.99443,0.0609723 --8.46631,1,1.04222,1,1,0,9.01437,0.0752034 --6.83143,1,1.04222,2,3,0,8.05818,0.303209 --6.80224,1,1.04222,1,1,0,6.83329,0.292586 --6.85642,0.984101,1.04222,1,1,0,6.86401,0.310973 --7.41356,0.926187,1.04222,2,3,0,7.414,0.408744 --6.80426,1,1.04222,2,3,0,7.39814,0.209718 --6.80208,1,1.04222,1,1,0,6.81638,0.210476 --6.76614,1,1.04222,1,1,0,6.79365,0.226726 --6.88949,0.98592,1.04222,2,3,0,6.89978,0.320059 --6.95292,0.921325,1.04222,1,3,0,7.31269,0.176189 --7.01849,0.943539,1.04222,1,3,0,7.45408,0.34847 --6.86076,1,1.04222,1,1,0,6.98332,0.312233 --6.86076,0.908146,1.04222,1,1,0,7.07769,0.312233 --10.1145,0.487011,1.04222,2,7,0,10.1321,0.0386484 --8.89466,1,1.04222,1,1,0,10.0364,0.062603 --6.78933,1,1.04222,2,3,0,8.39429,0.287022 --6.82522,0.955534,1.04222,2,3,0,7.02843,0.301119 --6.89249,0.993321,1.04222,2,3,0,6.90478,0.320832 --7.84405,0.734165,1.04222,1,1,0,7.84408,0.456902 --7.84405,0.305136,1.04222,1,3,0,13.6434,0.456902 --7.84405,0.364986,1.04222,1,1,0,9.86557,0.456902 --7.13188,1,1.04222,1,1,0,7.65319,0.368503 --7.41825,0.908861,1.04222,1,1,0,7.49981,0.409339 --6.95483,0.646287,1.04222,2,3,0,9.32879,0.335489 --7.92481,0.871983,1.04222,2,3,0,7.92895,0.464832 --8.41678,0.841237,1.04222,1,1,0,8.74304,0.508119 --7.24721,1,1.04222,1,1,0,8.07089,0.386234 --6.74803,1,1.04222,1,3,0,7.17619,0.250616 --7.21107,0.878202,1.04222,2,3,0,7.55282,0.380903 --7.16189,1,1.04222,1,1,0,7.31532,0.373329 --7.8034,0.804591,1.04222,1,1,0,7.866,0.452802 --6.78712,0.991151,1.04222,1,3,0,7.86013,0.216179 --6.80894,0.870724,1.04222,2,3,0,7.67884,0.20815 --7.34861,0.714839,1.04222,2,3,0,8.86583,0.132026 --6.85343,0.957437,1.04222,2,3,0,7.84717,0.310091 --7.21578,0.851243,1.04222,1,3,0,7.71672,0.143749 --6.77393,0.900218,1.04222,2,3,0,8.26728,0.279144 --6.87001,0.988954,1.04222,2,3,0,6.87015,0.314843 --6.76176,1,1.04222,2,3,0,6.85231,0.229675 --6.95536,0.947548,1.04222,1,3,0,7.04263,0.335604 --6.95536,0.61556,1.04222,1,3,0,9.01805,0.335604 --8.3466,0.629397,1.04222,1,1,0,8.34695,0.502391 --9.39739,0.897578,1.04222,2,3,0,9.80622,0.577261 --7.73132,1,1.04222,2,7,0,8.98465,0.106555 --6.77324,1,1.04222,2,3,0,7.51277,0.278746 --6.79597,0.959847,1.04222,2,3,0,6.99036,0.212687 --6.76161,1,1.04222,1,1,0,6.7876,0.229783 --6.93086,0.97746,1.04222,2,3,0,6.95802,0.330133 --7.18695,0.675147,1.04222,2,3,0,8.69157,0.377237 --8.59624,0.359449,1.04222,1,3,0,11.2076,0.0710553 --8.32565,1,1.04222,1,1,0,8.71908,0.080071 --8.54198,0.978694,1.04222,1,1,0,8.70842,0.0727495 --7.18966,0.88513,1.04222,1,3,0,10.2196,0.377653 --7.00529,0.881433,1.04222,1,3,0,7.80925,0.168197 --6.84462,1,1.04222,1,1,0,6.97198,0.197915 --7.04094,0.9591,1.04222,1,1,0,7.04104,0.163321 --7.2163,0.968221,1.04222,1,1,0,7.23968,0.143699 --7.06629,1,1.04222,1,1,0,7.2205,0.160079 --6.8501,1,1.04222,1,1,0,7.02068,0.196544 --7.03942,0.789889,1.04222,2,3,0,8.46072,0.163522 --6.76799,0.926071,1.04222,2,3,0,7.75381,0.275518 --6.74827,0.999008,1.04222,2,3,0,6.77406,0.252784 --6.74965,0.999549,1.04222,2,3,0,6.75127,0.257172 +# 0.444866 +-9.3487087,0.49624245,1.0337943,1,1,0,9.4030212,0.57421926 +-6.7582697,1,1.0337943,1,3,0,8.6886736,0.26817347 +-7.1681487,0.88280285,1.0337943,1,3,0,7.3838385,0.14851706 +-7.0636178,1,1.0337943,1,1,0,7.1900138,0.16041293 +-7.5124379,0.92362496,1.0337943,1,1,0,7.5135873,0.11992241 +-6.8658787,0.9901729,1.0337943,2,3,0,7.6278912,0.19281843 +-6.9455165,0.98294105,1.0337943,1,1,0,6.9570896,0.17741593 +-6.7490886,0.93117787,1.0337943,2,3,0,7.6428896,0.25580356 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+-6.7901962,0.98207494,1.0337943,1,3,0,7.0093318,0.21491956 +-6.7676721,1,1.0337943,1,1,0,6.7860863,0.22578206 +-6.9714512,0.94397461,1.0337943,1,3,0,7.0729734,0.33903623 +-6.9714512,0.9320035,1.0337943,1,1,0,7.1572437,0.33903623 +-7.0218387,0.88709268,1.0337943,1,3,0,7.5483023,0.16588483 +-6.8518773,0.98441906,1.0337943,2,3,0,7.2002965,0.19610924 +-7.0329916,0.961914,1.0337943,1,1,0,7.0338773,0.16437513 +-7.377296,0.97967964,1.0337943,2,3,0,7.381856,0.12974327 +-8.3078655,0.87737456,1.0337943,1,3,0,8.3101402,0.080717149 +-8.5892187,0.97211981,1.0337943,1,1,0,8.7372457,0.071271718 +-6.7760844,0.95151265,1.0337943,1,3,0,8.8102349,0.22119434 +-6.7760844,0.83241972,1.0337943,1,3,0,7.537472,0.22119434 +-6.8412035,0.97694426,1.0337943,1,3,0,6.9240971,0.30636019 +-6.7807321,1,1.0337943,1,1,0,6.8257524,0.28284184 +-6.8957252,0.9663882,1.0337943,1,1,0,6.8961531,0.32165616 +-6.7481598,1,1.0337943,1,3,0,6.8750148,0.25208075 +-7.3566725,0.84890442,1.0337943,1,3,0,7.5820223,0.13137659 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+-6.7499624,0.90095844,1.0337943,2,3,0,8.5274357,0.24226697 +-6.8400161,0.9759825,1.0337943,1,3,0,6.8674896,0.30598599 +-6.771446,1,1.0337943,1,1,0,6.8205124,0.27768304 +-6.7854995,0.99595785,1.0337943,1,1,0,6.7897012,0.28521603 +-6.7854995,0.83030199,1.0337943,1,3,0,7.5430123,0.28521603 +-6.9301834,0.90950234,1.0337943,2,3,0,7.2973492,0.18004752 +-6.9301834,0.91707665,1.0337943,1,3,0,7.4121525,0.18004752 +-7.4201004,0.92812749,1.0337943,1,3,0,7.4244206,0.12647487 +-6.7628952,0.95913505,1.0337943,1,3,0,7.5868551,0.27196056 +-6.9061497,0.9684051,1.0337943,1,3,0,6.9077164,0.32425971 +-7.1308002,0.93042536,1.0337943,1,1,0,7.1522102,0.36832651 +-7.5746611,0.65099229,1.0337943,1,3,0,8.8711064,0.11584191 +-7.5667498,1,1.0337943,1,1,0,7.7235948,0.11634714 +-6.8465561,1,1.0337943,2,3,0,7.3776747,0.30802013 +-7.1301115,0.9145114,1.0337943,1,1,0,7.1349342,0.36821361 +-6.7495787,1,1.0337943,1,3,0,7.0581257,0.2570183 +-6.9344883,0.95586279,1.0337943,1,3,0,6.9513789,0.33096278 +-6.7574005,0.96977661,1.0337943,2,3,0,7.113276,0.2673745 +-7.9557844,0.55054685,1.0337943,2,3,0,9.5521449,0.4678017 +-8.3187808,0.87875614,1.0337943,1,1,0,8.6775687,0.50008454 +-8.1932634,1,1.0337943,1,1,0,8.7470563,0.48940166 +-6.7862002,1,1.0337943,1,3,0,8.1722321,0.2165642 +-6.9629079,0.94757013,1.0337943,1,3,0,7.1001884,0.33722835 +-6.9256527,0.79301276,1.0337943,2,3,0,7.9850941,0.32892657 +-6.9371094,0.92550103,1.0337943,1,3,0,7.3260932,0.17884301 # -# Elapsed Time: 0.011222 seconds (Warm-up) -# 0.025649 seconds (Sampling) -# 0.036871 seconds (Total) +# Elapsed Time: 0.001 seconds (Warm-up) +# 0 seconds (Sampling) +# 0.001 seconds (Total) # diff --git a/test/data/runset-bad/bad-cols-bern-3_config.json b/test/data/runset-bad/bad-cols-bern-3_config.json new file mode 100644 index 00000000..fa5c0007 --- /dev/null +++ b/test/data/runset-bad/bad-cols-bern-3_config.json @@ -0,0 +1,66 @@ + +{ + "stan_major_version" : "2", + "stan_minor_version" : "37", + "stan_patch_version" : "0", + "model_name" : "bernoulli_model", + "start_datetime" : "2026-07-20 16:58:36 UTC", + "method" : { + "value" : "sample", + "sample" : { + "num_samples" : 100, + "num_warmup" : 1000, + "save_warmup" : false, + "thin" : 1, + "adapt" : { + "engaged" : true, + "gamma" : 0.05, + "delta" : 0.8, + "kappa" : 0.75, + "t0" : 10, + "init_buffer" : 75, + "term_buffer" : 50, + "window" : 25, + "save_metric" : true + }, + "algorithm" : { + "value" : "hmc", + "hmc" : { + "engine" : { + "value" : "nuts", + "nuts" : { + "max_depth" : 10 + } + }, + "metric" : { + "value" : "diag_e" + }, + "metric_file" : "", + "stepsize" : 1, + "stepsize_jitter" : 0 + } + }, + "num_chains" : 1 + } + }, + "id" : 3, + "data" : { + "file" : "test\/data\/bernoulli.data.json" + }, + "init" : "2", + "random" : { + "seed" : 12345 + }, + "output" : { + "file" : "\/tmp\/tmpuisjazeu\/bernoullik799pfr2\/bernoulli-20260720125836_3.csv", + "diagnostic_file" : "", + "refresh" : 100, + "sig_figs" : 8, + "profile_file" : "profile.csv", + "save_cmdstan_config" : true + }, + "num_threads" : 1, + "mpi_enabled" : false, + "stanc_version" : "stanc3 v2.37.0", + "stancflags" : "--filename-in-msg=bernoulli.stan" +} diff --git a/test/data/runset-bad/bad-cols-bern-4.csv b/test/data/runset-bad/bad-cols-bern-4.csv index fa5a256f..f379ca98 100644 --- a/test/data/runset-bad/bad-cols-bern-4.csv +++ b/test/data/runset-bad/bad-cols-bern-4.csv @@ -1,22 +1,24 @@ # stan_version_major = 2 -# stan_version_minor = 19 -# stan_version_patch = 1 +# stan_version_minor = 37 +# stan_version_patch = 0 # model = bernoulli_model +# start_datetime = 2026-07-20 16:58:36 UTC # method = sample (Default) # sample -# num_samples = 1000 (Default) +# num_samples = 100 # num_warmup = 1000 (Default) -# save_warmup = 0 (Default) +# save_warmup = false (Default) # thin = 1 (Default) # adapt -# engaged = 1 (Default) -# gamma = 0.050000000000000003 (Default) -# delta = 0.80000000000000004 (Default) +# engaged = true (Default) +# gamma = 0.05 (Default) +# delta = 0.8 (Default) # kappa = 0.75 (Default) # t0 = 10 (Default) # init_buffer = 75 (Default) # term_buffer = 50 (Default) # window = 25 (Default) +# save_metric = true # algorithm = hmc (Default) # hmc # engine = nuts (Default) @@ -26,1023 +28,130 @@ # metric_file = (Default) # stepsize = 1 (Default) # stepsize_jitter = 0 (Default) +# num_chains = 1 (Default) # id = 4 # data -# file = /Users/mitzi/github/stan-dev/cmdstanpy/test/files-data/bernoulli.data.R +# file = test/data/bernoulli.data.json # init = 2 (Default) # random -# seed = 73255 +# seed = 12345 # output -# file = /Users/mitzi/github/stan-dev/cmdstanpy/test/files-tmp/bernoulli.output-4.csv +# file = /tmp/tmpuisjazeu/bernoullik799pfr2/bernoulli-20260720125836_4.csv # diagnostic_file = (Default) # refresh = 100 (Default) +# sig_figs = 8 (Default) +# profile_file = profile.csv (Default) +# save_cmdstan_config = true +# num_threads = 1 (Default) +# stanc_version = stanc3 v2.37.0 +# stancflags = --filename-in-msg=bernoulli.stan lp__,accept_stat__,stepsize__,treedepth__,n_leapfrog__,divergent__,energy__,theta,foo # Adaptation terminated -# Step size = 0.730383 +# Step size = 1.14675 # Diagonal elements of inverse mass matrix: -# 0.508248, 0.508248 --7.00518,1,0.730383,2,3,0,7.26237,0.345882 --6.76715,0.968283,0.730383,1,3,0,7.334,0.226096 --7.44199,0.932693,0.730383,2,3,0,7.44227,0.124863 --7.66206,0.993806,0.730383,2,3,0,7.67649,0.110501 --7.02095,1,0.730383,2,3,0,7.67955,0.166007 --6.83799,0.9991,0.730383,3,7,0,7.03648,0.199633 --6.92712,0.995927,0.730383,3,7,0,6.92835,0.329269 --7.01447,0.868171,0.730383,1,3,0,8.0826,0.166904 --7.08411,0.992302,0.730383,1,1,0,7.097,0.157897 --7.20912,0.984279,0.730383,2,3,0,7.39679,0.144396 --7.18256,0.999767,0.730383,3,7,0,7.25833,0.376561 --6.87017,0.903807,0.730383,1,3,0,8.16906,0.191854 --7.25136,0.922572,0.730383,2,3,0,7.73273,0.140401 --8.3839,0.928195,0.730383,2,3,0,8.47644,0.0780045 --8.23755,0.996888,0.730383,3,7,0,8.46572,0.493224 --8.15306,1,0.730383,1,1,0,8.46779,0.485879 --8.66376,0.96714,0.730383,2,3,0,8.81383,0.527311 --9.32671,0.87504,0.730383,1,1,0,9.54129,0.572834 --8.12332,1,0.730383,3,7,0,9.14795,0.0878751 --7.78358,1,0.730383,1,1,0,8.11094,0.103727 --6.76015,0.987968,0.730383,3,7,0,7.94359,0.230881 --10.0111,0.792715,0.730383,2,3,0,10.0773,0.612943 --8.58179,1,0.730383,3,7,0,9.81054,0.521099 --8.28906,1,0.730383,1,1,0,8.74429,0.497596 --8.04581,1,0.730383,1,1,0,8.42521,0.476223 --7.75267,1,0.730383,3,7,0,8.10437,0.447575 --7.9329,0.964291,0.730383,1,1,0,8.07547,0.465611 --8.66887,0.861192,0.730383,1,1,0,8.74493,0.527694 --6.75192,1,0.730383,2,3,0,8.45384,0.261148 --6.95292,0.945577,0.730383,1,3,0,7.22245,0.176189 --6.90664,0.995574,0.730383,3,7,0,7.03833,0.324381 --7.23521,0.785803,0.730383,1,3,0,8.69605,0.1419 --6.88181,0.951099,0.730383,3,7,0,8.08779,0.318043 --6.78393,0.997714,0.730383,3,7,0,6.9121,0.284453 --6.77787,0.983775,0.730383,1,3,0,6.93623,0.22032 --6.88135,0.965692,0.730383,1,3,0,7.1618,0.317922 --6.786,0.804613,0.730383,3,7,0,8.77746,0.216647 --6.74946,0.996118,0.730383,1,3,0,6.83183,0.256735 --6.83399,0.991634,0.730383,2,3,0,6.83742,0.304053 --7.85599,0.888141,0.730383,2,3,0,8.08549,0.458092 --7.89547,0.998865,0.730383,3,7,0,8.09531,0.461983 --8.57896,0.798699,0.730383,2,5,0,9.80558,0.0715894 --8.55767,1,0.730383,1,1,0,8.72266,0.0722543 --6.78525,0.9882,0.730383,3,7,0,8.69854,0.285096 --6.81916,0.993618,0.730383,2,3,0,6.86074,0.299 --7.05549,0.881614,0.730383,1,3,0,7.83805,0.16144 --6.96485,1,0.730383,1,1,0,7.05015,0.174267 --6.97113,0.928163,0.730383,1,3,0,7.98934,0.338969 --6.79315,0.956791,0.730383,1,3,0,7.40407,0.213759 --6.81335,0.981571,0.730383,2,3,0,6.99787,0.206731 --7.82439,0.871177,0.730383,2,5,0,8.47377,0.1016 --7.02383,0.829058,0.730383,1,3,0,10.62,0.349491 --7.14269,0.978017,0.730383,1,1,0,7.1632,0.370262 --6.91929,0.878673,0.730383,1,3,0,8.28686,0.181998 --6.74814,0.989824,0.730383,1,3,0,7.06035,0.251951 --7.40478,0.942941,0.730383,3,7,0,7.42046,0.407627 --7.28656,0.675472,0.730383,1,3,0,10.3134,0.137247 --7.32594,0.998057,0.730383,3,7,0,7.37111,0.133887 --8.65439,0.917907,0.730383,2,3,0,8.73883,0.0692972 --8.53219,1,0.730383,2,3,0,8.75141,0.0730611 --8.01693,1,0.730383,1,1,0,8.50137,0.0924229 --8.22746,0.995424,0.730383,2,3,0,8.27596,0.0837305 --8.06125,1,0.730383,1,1,0,8.28011,0.0904875 --8.48099,0.974006,0.730383,1,1,0,8.49177,0.0747188 --8.35344,1,0.730383,1,1,0,8.56594,0.0790758 --7.2577,0.968115,0.730383,2,5,0,8.76898,0.387747 --7.19273,1,0.730383,2,3,0,7.30721,0.378124 --7.08157,0.793076,0.730383,1,3,0,9.01833,0.158204 --6.93853,1,0.730383,1,1,0,7.06506,0.1786 --6.7482,0.9903,0.730383,1,3,0,7.07111,0.247637 --7.37307,0.928154,0.730383,3,7,0,7.57809,0.130075 --7.2127,1,0.730383,1,1,0,7.36842,0.144048 --6.96423,0.965997,0.730383,2,3,0,7.77912,0.174366 --6.88429,0.942797,0.730383,1,3,0,7.74579,0.318702 --6.75213,0.951353,0.730383,2,3,0,7.34079,0.261441 --7.11978,0.902777,0.730383,1,3,0,7.60028,0.153746 --7.27024,0.984712,0.730383,1,1,0,7.27697,0.138691 --7.59284,0.987678,0.730383,3,7,0,7.59347,0.114695 --7.74858,0.987611,0.730383,1,1,0,7.78583,0.105607 --6.99241,1,0.730383,2,3,0,7.73131,0.170063 --6.74911,0.983026,0.730383,1,3,0,7.22513,0.255864 --6.74887,0.999563,0.730383,1,3,0,6.75351,0.244886 --6.97472,0.955253,0.730383,1,3,0,7.15729,0.172726 --7.78872,0.948253,0.730383,3,7,0,7.87399,0.103455 --7.46181,1,0.730383,2,3,0,7.76432,0.123436 --7.36668,0.998168,0.730383,3,7,0,7.49011,0.130579 --8.59328,0.86204,0.730383,2,3,0,9.52522,0.0711464 --6.80062,0.922246,0.730383,1,3,0,9.98324,0.210988 --7.00864,0.982324,0.730383,3,7,0,7.05675,0.346559 --6.95651,0.982351,0.730383,3,7,0,7.23522,0.335852 --6.88395,0.914551,0.730383,1,3,0,7.72669,0.188888 --6.9325,0.998021,0.730383,2,3,0,6.93766,0.179642 --6.87668,1,0.730383,1,1,0,6.92901,0.190431 --6.84399,0.95956,0.730383,1,3,0,7.38375,0.307228 --6.77862,0.999029,0.730383,3,7,0,6.85804,0.28174 --7.10663,0.881181,0.730383,1,3,0,7.77951,0.155245 --7.27257,0.983059,0.730383,1,1,0,7.27673,0.138483 --7.16393,1,0.730383,1,1,0,7.27874,0.148957 --7.19262,0.999023,0.730383,2,3,0,7.23183,0.146024 --6.77643,0.998214,0.730383,3,7,0,7.19759,0.280555 --6.76498,1,0.730383,2,7,0,6.77467,0.227463 --6.7654,0.998316,0.730383,3,7,0,6.78902,0.273769 --8.13187,0.875761,0.730383,2,3,0,8.25126,0.484002 --7.41507,1,0.730383,1,1,0,7.99941,0.408936 --7.11551,1,0.730383,1,1,0,7.36838,0.365798 --6.82757,0.928705,0.730383,1,3,0,7.84636,0.202481 --6.79301,0.976376,0.730383,1,3,0,7.09719,0.288682 --6.89682,0.939439,0.730383,1,3,0,7.30239,0.186269 --6.86808,0.950693,0.730383,1,3,0,7.50949,0.314305 --6.89344,0.99554,0.730383,1,1,0,6.90657,0.321074 --6.94753,0.997076,0.730383,3,7,0,6.95883,0.333889 --6.7586,0.980423,0.730383,1,3,0,7.17757,0.232119 --6.75178,0.997352,0.730383,1,3,0,6.78666,0.260946 --7.27301,0.865065,0.730383,1,3,0,7.94966,0.138444 --6.75405,0.997924,0.730383,2,7,0,7.20265,0.236444 --7.17779,0.919924,0.730383,1,3,0,7.49567,0.147523 --7.40472,0.978011,0.730383,1,1,0,7.40651,0.127631 --7.34117,1,0.730383,1,1,0,7.44311,0.132631 --6.82156,0.998955,0.730383,3,7,0,7.30328,0.29985 --6.77862,0.939425,0.730383,3,7,0,7.37671,0.281737 --6.83886,0.963053,0.730383,1,3,0,7.09387,0.199402 --6.74964,0.992052,0.730383,1,3,0,6.93564,0.257155 --6.96049,0.911372,0.730383,2,3,0,7.66201,0.33671 --6.76628,0.86882,0.730383,2,3,0,8.19985,0.274379 --7.29476,0.947178,0.730383,2,3,0,7.35033,0.392984 --7.55239,0.963016,0.730383,3,7,0,7.82696,0.117274 --7.119,0.993573,0.730383,3,7,0,7.68698,0.153835 --6.83325,0.977627,0.730383,2,3,0,7.47204,0.200904 --6.78538,0.999849,0.730383,3,7,0,6.82644,0.285159 --6.814,0.998407,0.730383,2,3,0,6.81464,0.297128 --6.77423,0.950451,0.730383,2,3,0,7.27621,0.279319 --6.91123,0.93096,0.730383,3,7,0,7.45697,0.183491 --7.98428,0.910061,0.730383,2,3,0,8.00192,0.0938884 --7.65256,1,0.730383,1,1,0,7.96732,0.111061 --7.90541,0.989252,0.730383,3,7,0,7.94759,0.0975761 --6.7793,0.985994,0.730383,3,7,0,8.11065,0.219636 --9.96919,0.440056,0.730383,1,3,0,14.3895,0.0408457 --10.3669,0.988145,0.730383,1,1,0,10.4357,0.0351444 --6.9631,0.944402,0.730383,3,7,0,13.1378,0.174545 --8.65552,0.782432,0.730383,1,3,0,9.69364,0.0692635 --8.8744,0.940235,0.730383,2,3,0,10.6264,0.0631346 --8.40475,1,0.730383,1,1,0,8.86282,0.0772827 --7.81446,0.943889,0.730383,2,5,0,9.33022,0.453925 --7.25119,0.941197,0.730383,2,3,0,8.50505,0.38681 --7.52824,0.590604,0.730383,2,5,0,10.7863,0.118862 --7.48393,1,0.730383,2,3,0,7.58743,0.121878 --6.92804,1,0.730383,2,3,0,7.48086,0.180426 --6.86516,0.949881,0.730383,1,3,0,7.58856,0.313487 --6.76968,0.978633,0.730383,1,3,0,7.08555,0.224602 --8.14391,0.874158,0.730383,3,7,0,8.48146,0.0870328 --8.08902,1,0.730383,1,1,0,8.24377,0.0893051 --7.87006,1,0.730383,1,1,0,8.1121,0.0993011 --7.53028,0.992775,0.730383,2,3,0,8.15442,0.118726 --7.81825,0.992322,0.730383,2,3,0,7.82712,0.101916 --6.85324,0.987473,0.730383,1,3,0,8.19012,0.195777 --6.91638,0.997368,0.730383,2,3,0,6.91739,0.182533 --6.8581,0.992582,0.730383,3,7,0,7.0471,0.311464 --6.81361,1,0.730383,1,1,0,6.8523,0.296983 --6.87343,0.989762,0.730383,1,1,0,6.87406,0.315785 --6.92383,0.9911,0.730383,1,1,0,6.93273,0.328502 --6.99521,0.987148,0.730383,1,1,0,7.00814,0.343904 --6.75084,0.95791,0.730383,3,7,0,7.4192,0.240697 --6.94629,0.964972,0.730383,1,3,0,7.07844,0.177286 --6.8053,0.98049,0.730383,2,3,0,7.21276,0.209366 --8.08595,0.7903,0.730383,1,3,0,9.07031,0.0894346 --7.00856,0.996052,0.730383,3,7,0,8.01458,0.167734 --7.15367,0.984177,0.730383,1,1,0,7.15534,0.150038 --7.31843,0.983633,0.730383,1,1,0,7.32519,0.134515 --7.4446,0.988446,0.730383,1,1,0,7.46967,0.124673 --7.46593,0.998118,0.730383,1,1,0,7.5341,0.123143 --6.74849,0.964118,0.730383,1,3,0,8.08112,0.246168 --6.84101,0.981461,0.730383,1,3,0,6.92241,0.306299 --7.42381,0.923117,0.730383,3,7,0,7.64804,0.41004 --6.87095,0.893497,0.730383,1,3,0,8.64369,0.191682 --6.85624,1,0.730383,1,1,0,6.87897,0.195058 --6.84818,0.996524,0.730383,2,3,0,6.92876,0.197021 --7.07555,0.926846,0.730383,1,3,0,7.84958,0.358951 --7.37008,0.982898,0.730383,3,7,0,7.37524,0.403141 --8.28568,0.833044,0.730383,1,1,0,8.28647,0.497312 --7.41146,1,0.730383,1,1,0,8.11422,0.408479 --6.92149,0.960074,0.730383,3,7,0,7.91408,0.181598 --6.97054,0.994179,0.730383,1,1,0,6.97914,0.173374 --6.76307,0.973098,0.730383,1,3,0,7.30464,0.272089 --6.81216,0.976679,0.730383,1,3,0,6.96578,0.207107 --6.79446,0.98457,0.730383,2,3,0,6.99538,0.213255 --6.92098,0.988188,0.730383,2,3,0,6.9503,0.181691 --6.8593,1,0.730383,1,1,0,6.91475,0.194335 --6.74825,0.995492,0.730383,1,3,0,6.92953,0.247332 --7.66444,0.798064,0.730383,1,3,0,8.69349,0.110362 --7.46918,1,0.730383,1,1,0,7.66838,0.122913 --9.66284,0.887276,0.730383,3,7,0,10.1183,0.04597 --10.4877,0.973746,0.730383,1,1,0,10.4889,0.0335949 --6.94218,0.98026,0.730383,3,7,0,10.8266,0.3327 --7.04515,0.98135,0.730383,1,1,0,7.05583,0.353481 --7.27661,0.734786,0.730383,1,3,0,9.29119,0.138124 --6.76639,0.979339,0.730383,1,3,0,7.52478,0.226567 --6.76639,0.819289,0.730383,1,3,0,8.50173,0.226567 --7.36495,0.895032,0.730383,1,3,0,7.77719,0.130716 --7.2193,0.997836,0.730383,3,7,0,7.36324,0.143411 --7.09778,1,0.730383,1,1,0,7.21629,0.156274 --7.06122,1,0.730383,1,1,0,7.12,0.160714 --6.75136,0.98929,0.730383,1,3,0,7.2425,0.239884 --6.75201,0.998325,0.730383,1,3,0,6.76886,0.261267 --6.91966,0.953643,0.730383,1,3,0,7.14971,0.18193 --7.04649,0.985207,0.730383,1,1,0,7.04657,0.162597 --6.99425,0.993947,0.730383,2,3,0,7.19465,0.169792 --6.77162,0.966997,0.730383,1,3,0,7.40584,0.27779 --6.99454,0.91981,0.730383,1,3,0,7.45817,0.16975 --7.40424,0.971811,0.730383,3,7,0,7.51456,0.127667 --7.43316,0.997403,0.730383,1,1,0,7.49491,0.125509 --7.22584,0.993101,0.730383,2,3,0,7.64604,0.142786 --6.88964,0.972901,0.730383,2,3,0,7.68234,0.187712 --7.03264,0.926067,0.730383,1,3,0,7.90156,0.351155 --6.98422,0.862816,0.730383,1,3,0,8.26862,0.171281 --7.00212,0.921828,0.730383,1,3,0,8.12906,0.345279 --7.08757,0.984269,0.730383,1,1,0,7.11054,0.361048 --7.10475,0.999166,0.730383,3,7,0,7.15975,0.363988 --7.41686,0.980636,0.730383,2,3,0,7.42545,0.409162 --7.40718,0.926438,0.730383,3,7,0,8.28853,0.407934 --6.87998,0.986733,0.730383,2,3,0,7.55029,0.317558 --6.82038,0.953525,0.730383,1,3,0,7.31721,0.204571 --6.79197,0.993613,0.730383,3,7,0,6.91096,0.28822 --6.97554,0.914195,0.730383,1,3,0,7.50803,0.1726 --7.04059,0.99261,0.730383,1,1,0,7.05093,0.163368 --6.85386,0.998437,0.730383,2,3,0,7.07707,0.19563 --7.13651,0.980032,0.730383,3,7,0,7.17813,0.151889 --6.75846,0.963999,0.730383,1,3,0,7.62882,0.268347 --6.89747,0.95459,0.730383,1,3,0,7.14772,0.186141 --6.83034,1,0.730383,2,3,0,6.88889,0.201705 --6.75238,0.990454,0.730383,1,3,0,6.94097,0.261786 --6.74963,0.998847,0.730383,1,3,0,6.76405,0.242946 --7.7198,0.795537,0.730383,1,3,0,8.75938,0.107195 --6.81116,0.970865,0.730383,2,5,0,8.13877,0.207428 --6.94423,0.951134,0.730383,1,3,0,7.42631,0.333158 --6.91084,0.98587,0.730383,2,3,0,7.13062,0.325405 --6.76606,0.999954,0.730383,2,3,0,6.91532,0.274226 --6.76197,1,0.730383,1,1,0,6.7665,0.271257 --6.76963,0.996016,0.730383,3,7,0,6.80677,0.224632 --6.75223,0.977521,0.730383,3,7,0,7.01794,0.261577 --6.75657,0.999314,0.730383,1,1,0,6.75658,0.266581 --6.76479,0.993026,0.730383,1,3,0,6.82028,0.227591 --6.81681,0.980653,0.730383,1,3,0,6.96927,0.298155 --6.92432,0.922969,0.730383,1,3,0,7.46363,0.181089 --8.13391,0.833439,0.730383,1,3,0,10.2246,0.484184 --8.48071,0.97731,0.730383,2,3,0,8.66024,0.513226 --8.21184,0.989625,0.730383,3,7,0,9.09316,0.491012 --6.75109,1,0.730383,3,7,0,8.14208,0.240301 --6.94669,0.963416,0.730383,2,3,0,7.08633,0.177219 --6.91328,1,0.730383,2,3,0,6.95405,0.183106 --6.75639,0.981411,0.730383,1,3,0,7.13953,0.266402 --7.12451,0.895262,0.730383,1,3,0,7.66065,0.153216 --7.05939,1,0.730383,2,3,0,7.13558,0.160945 --6.77274,0.961238,0.730383,1,3,0,7.55858,0.278454 --6.7915,0.996915,0.730383,1,1,0,6.7919,0.288007 --6.75373,0.990729,0.730383,3,7,0,6.8864,0.263512 --7.27374,0.930735,0.730383,2,3,0,7.50331,0.390035 --7.38864,0.994265,0.730383,3,7,0,7.454,0.405555 --7.08362,1,0.730383,1,1,0,7.33738,0.360363 --6.86016,1,0.730383,3,7,0,7.06896,0.194135 --7.57968,0.888854,0.730383,2,3,0,8.07781,0.115524 --6.76075,0.961819,0.730383,1,3,0,8.12918,0.230416 --6.81572,0.982089,0.730383,1,3,0,6.95043,0.297759 --6.84447,0.952418,0.730383,1,3,0,7.22872,0.197954 --6.81018,1,0.730383,1,1,0,6.84101,0.207745 --6.7983,1,0.730383,2,3,0,6.81217,0.211825 --7.06129,0.932549,0.730383,1,3,0,7.61891,0.356415 --6.96695,0.979113,0.730383,2,3,0,7.32298,0.338087 --6.85946,1,0.730383,1,1,0,6.94892,0.311856 --6.8879,0.995016,0.730383,1,1,0,6.89891,0.319647 --6.81171,0.956833,0.730383,1,3,0,7.30395,0.20725 --6.85331,0.994541,0.730383,1,1,0,6.85383,0.195761 --6.82471,0.965457,0.730383,1,3,0,7.26265,0.300942 --6.76171,0.985577,0.730383,1,3,0,6.96761,0.229707 --7.25913,0.950033,0.730383,2,3,0,7.26007,0.139692 --7.36307,0.99671,0.730383,2,3,0,7.38889,0.130866 --7.11673,1,0.730383,1,1,0,7.33811,0.154091 --6.98746,1,0.730383,1,1,0,7.10431,0.170796 --6.86681,0.997509,0.730383,3,7,0,7.03174,0.192607 --6.74812,0.994692,0.730383,1,3,0,6.9465,0.248235 --7.33995,0.869699,0.730383,1,3,0,7.9565,0.13273 --7.12087,0.948428,0.730383,3,7,0,8.39384,0.153624 --7.12906,0.998754,0.730383,3,7,0,7.12965,0.368041 --7.03063,1,0.730383,1,1,0,7.13591,0.350778 --6.99319,1,0.730383,2,3,0,7.05578,0.343498 --6.87126,0.69085,0.730383,2,3,0,10.2463,0.31519 --6.80697,1,0.730383,1,1,0,6.86037,0.294462 --7.02512,0.744239,0.730383,2,3,0,9.59382,0.349735 --7.33664,0.935081,0.730383,2,3,0,7.74345,0.398706 --8.12963,0.854146,0.730383,1,1,0,8.1318,0.483803 --8.3104,1,0.730383,3,7,0,8.39189,0.0806245 --7.43298,0.968787,0.730383,2,3,0,9.2438,0.125522 --7.46069,0.959129,0.730383,3,7,0,8.55805,0.123515 --6.83172,0.924239,0.730383,1,3,0,8.83106,0.303305 --6.83172,0.991807,0.730383,1,1,0,6.87444,0.303305 --7.08528,0.964867,0.730383,2,3,0,7.2112,0.360651 --6.77199,0.961576,0.730383,3,7,0,7.50725,0.223321 --6.78746,0.987615,0.730383,2,3,0,6.90307,0.216034 --6.75709,0.9922,0.730383,1,3,0,6.87387,0.267077 --6.81779,0.962652,0.730383,2,3,0,7.11011,0.298509 --7.20012,0.831326,0.730383,1,3,0,8.23014,0.145279 --7.25461,0.998196,0.730383,2,3,0,7.28896,0.140103 --6.8398,0.978825,0.730383,2,3,0,7.62794,0.199156 --6.80948,0.999824,0.730383,3,7,0,6.83727,0.207974 --6.80752,1,0.730383,1,1,0,6.81687,0.20862 --6.97395,0.94622,0.730383,1,3,0,7.47705,0.339559 --6.89151,1,0.730383,1,1,0,6.96577,0.320578 --6.7938,0.86544,0.730383,2,3,0,8.17123,0.289031 --6.77384,0.974153,0.730383,3,7,0,7.04075,0.279093 --6.89745,0.985431,0.730383,2,3,0,6.93381,0.322094 --6.79337,0.963946,0.730383,1,3,0,7.25378,0.213674 --7.13174,0.950296,0.730383,3,7,0,7.45579,0.152413 --7.22919,0.954411,0.730383,3,7,0,8.0236,0.142468 --7.17998,0.99153,0.730383,2,3,0,7.47049,0.1473 --7.79043,0.962605,0.730383,3,7,0,8.02346,0.451477 --6.76513,1,0.730383,3,7,0,7.70751,0.273582 --7.36555,0.940517,0.730383,3,7,0,7.42209,0.402548 --6.83725,0.913357,0.730383,1,3,0,8.36735,0.19983 --6.88439,0.969114,0.730383,2,3,0,7.19829,0.188796 --6.74835,0.947108,0.730383,3,7,0,7.60329,0.253214 --6.95648,0.951423,0.730383,1,3,0,7.17449,0.175609 --6.76,0.998117,0.730383,3,7,0,6.9747,0.269671 --8.31347,0.857836,0.730383,3,7,0,8.43096,0.499642 --7.7581,1,0.730383,2,3,0,8.27433,0.44814 --7.30413,1,0.730383,1,1,0,7.68738,0.394281 --7.32407,0.99613,0.730383,1,1,0,7.41972,0.397009 --7.73575,0.910172,0.730383,2,5,0,8.29708,0.10631 --8.03122,0.975568,0.730383,3,7,0,8.41869,0.0917924 --8.06544,0.997699,0.730383,1,1,0,8.1733,0.0903076 --7.2967,0.998645,0.730383,2,3,0,8.15167,0.136366 --7.61294,0.97167,0.730383,1,1,0,7.6132,0.11345 --7.19627,0.98331,0.730383,3,7,0,7.93831,0.378665 --6.83377,0.99274,0.730383,2,3,0,7.27754,0.303978 --6.76826,0.945936,0.730383,2,3,0,7.33623,0.275692 --6.7494,0.997459,0.730383,3,7,0,6.79648,0.256606 --6.76997,0.997387,0.730383,3,7,0,6.77797,0.224438 --7.07526,0.872893,0.730383,3,7,0,8.38433,0.158972 --6.77435,0.999173,0.730383,3,7,0,7.03946,0.222072 --6.98884,0.983215,0.730383,3,7,0,7.00181,0.17059 --7.0995,0.995895,0.730383,2,3,0,7.10349,0.156072 --6.74803,0.980882,0.730383,1,3,0,7.38368,0.249451 --6.79719,0.987229,0.730383,2,3,0,6.86988,0.290494 --6.74837,0.996676,0.730383,1,3,0,6.83596,0.246702 --6.84351,0.981537,0.730383,1,3,0,6.91511,0.198197 --6.96311,0.943152,0.730383,1,3,0,7.58379,0.33727 --6.8417,0.934699,0.730383,1,3,0,7.58688,0.198664 --6.80472,1,0.730383,1,1,0,6.83728,0.209562 --6.84086,0.995212,0.730383,1,1,0,6.84142,0.198881 --6.89179,0.993534,0.730383,1,1,0,6.89319,0.187276 --8.35965,0.87399,0.730383,2,3,0,8.3612,0.0788559 --7.1828,1,0.730383,2,3,0,8.32175,0.147013 --6.89829,0.998591,0.730383,2,3,0,7.22257,0.185979 --8.46135,0.833259,0.730383,2,5,0,9.48921,0.0753682 --9.06855,0.970907,0.730383,2,3,0,9.53243,0.0582647 --9.26438,0.991587,0.730383,1,1,0,9.36624,0.0538167 --7.00442,0.990765,0.730383,3,7,0,8.94563,0.345733 --7.17222,0.954237,0.730383,3,7,0,7.51771,0.374953 --7.17806,0.999629,0.730383,2,3,0,7.25247,0.375864 --7.02139,1,0.730383,3,7,0,7.16317,0.349024 --6.89439,0.986259,0.730383,2,3,0,7.18853,0.321316 --7.02325,0.992346,0.730383,2,3,0,7.0256,0.349379 --6.91814,1,0.730383,1,1,0,7.01135,0.327159 --6.85841,0.931938,0.730383,1,3,0,7.54343,0.194544 --6.90692,0.966086,0.730383,2,3,0,7.26726,0.184306 --7.14794,0.978604,0.730383,2,3,0,7.23132,0.15065 --7.16698,0.949612,0.730383,2,3,0,7.96872,0.148639 --10.6393,0.788363,0.730383,2,5,0,10.7414,0.645148 --8.02954,1,0.730383,3,7,0,10.9486,0.091866 --7.20334,0.970871,0.730383,2,3,0,8.79746,0.144961 --6.88766,0.912752,0.730383,3,7,0,8.91611,0.188118 --6.77651,0.966732,0.730383,3,7,0,7.3367,0.280596 --6.7952,0.95787,0.730383,2,3,0,7.17396,0.289641 --6.79401,0.975641,0.730383,1,3,0,7.01706,0.213425 --9.97602,0.816459,0.730383,2,3,0,9.99539,0.611025 --8.03019,1,0.730383,1,1,0,9.58513,0.474783 --8.04739,0.996517,0.730383,1,1,0,8.28891,0.476368 --6.83189,0.820307,0.730383,2,3,0,10.3097,0.201276 --6.76189,0.985563,0.730383,1,3,0,6.99467,0.271193 --6.75034,0.997541,0.730383,1,3,0,6.78744,0.241557 --7.04799,0.943249,0.730383,1,3,0,7.27882,0.162403 --6.85533,0.941674,0.730383,1,3,0,7.8781,0.310653 --6.75546,0.987671,0.730383,1,3,0,6.99309,0.234964 --6.81243,0.983516,0.730383,1,3,0,6.91951,0.296545 --6.88517,0.995852,0.730383,2,3,0,6.88526,0.318931 --7.74524,0.767607,0.730383,3,7,0,9.2531,0.446799 --8.77087,0.812381,0.730383,1,1,0,8.79289,0.535214 --8.77087,0.795286,0.730383,1,1,0,9.83992,0.535214 --7.58283,1,0.730383,1,1,0,8.53362,0.429072 --7.20994,0.655351,0.730383,2,5,0,10.4346,0.144316 --7.19385,0.99909,0.730383,3,7,0,7.26833,0.378295 --7.09722,0.965128,0.730383,2,3,0,7.6336,0.362709 --7.06916,1,0.730383,1,1,0,7.14045,0.357821 --6.92125,1,0.730383,1,1,0,7.04553,0.327894 --6.92898,0.999491,0.730383,3,7,0,6.95619,0.329699 --6.75114,0.977957,0.730383,2,3,0,7.17053,0.240217 --6.84587,0.897335,0.730383,3,7,0,7.89341,0.197597 --6.81331,1,0.730383,1,1,0,6.84309,0.206741 --7.05302,0.979197,0.730383,2,3,0,7.08659,0.161755 --6.7511,0.976396,0.730383,1,3,0,7.37709,0.259897 --6.8355,0.9915,0.730383,2,3,0,6.84125,0.304542 --6.8492,0.991313,0.730383,3,7,0,6.94783,0.196766 --6.80497,1,0.730383,1,1,0,6.84346,0.209477 --6.77279,0.985091,0.730383,1,3,0,6.9733,0.278481 --7.01721,0.973721,0.730383,2,3,0,7.06173,0.348223 --7.08305,0.984722,0.730383,3,7,0,7.24755,0.158025 --6.80636,0.946343,0.730383,1,3,0,7.77861,0.294223 --6.77128,0.99842,0.730383,2,3,0,6.82693,0.277581 --7.42604,0.934576,0.730383,2,3,0,7.50088,0.410321 --6.844,0.907458,0.730383,1,3,0,8.51281,0.198072 --6.88908,0.994285,0.730383,1,1,0,6.89138,0.187828 --6.80854,0.966222,0.730383,1,3,0,7.30716,0.29507 --6.79982,1,0.730383,1,1,0,6.81296,0.291592 --7.04089,0.890074,0.730383,1,3,0,7.71592,0.163328 --7.0387,1,0.730383,1,1,0,7.07622,0.163617 --6.80052,0.95221,0.730383,1,3,0,7.64616,0.291883 --6.78867,1,0.730383,2,3,0,6.80195,0.286714 --6.82389,0.994097,0.730383,1,1,0,6.82431,0.30066 --6.76612,0.983592,0.730383,1,3,0,6.98542,0.226734 --7.86433,0.875581,0.730383,3,7,0,8.41506,0.0995847 --7.69925,0.990186,0.730383,2,3,0,8.2623,0.108353 --7.59774,1,0.730383,1,1,0,7.744,0.11439 --6.79133,0.863404,0.730383,3,7,0,10.5281,0.287933 --6.93579,0.930309,0.730383,3,7,0,7.47821,0.17907 --6.9912,0.997836,0.730383,2,3,0,6.99985,0.170241 --6.93713,1,0.730383,1,1,0,6.9939,0.178839 --7.06032,0.985865,0.730383,2,3,0,7.17377,0.160827 --7.46217,0.981019,0.730383,3,7,0,7.48947,0.414809 --7.26501,1,0.730383,3,7,0,7.4708,0.388794 --6.92658,1,0.730383,3,7,0,7.26039,0.180686 --8.47438,0.793736,0.730383,1,3,0,9.4217,0.0749366 --8.28202,0.997743,0.730383,3,7,0,8.56126,0.497003 --8.80232,0.899743,0.730383,1,1,0,8.97438,0.53749 --9.46106,0.958749,0.730383,2,3,0,9.70186,0.581189 --6.7489,1,0.730383,2,3,0,9.10487,0.244775 --7.19708,0.907078,0.730383,1,3,0,7.60994,0.14558 --9.00703,0.815406,0.730383,1,3,0,9.85151,0.0597552 --9.62943,0.974197,0.730383,1,1,0,9.6379,0.0465731 --9.36548,0.991983,0.730383,2,3,0,10.34,0.051683 --7.38372,0.988886,0.730383,1,3,0,10.0319,0.129242 --8.15946,0.970852,0.730383,3,7,0,8.20741,0.486443 --7.29546,1,0.730383,1,1,0,7.9882,0.393082 --6.76199,0.891519,0.730383,2,3,0,8.43314,0.229506 --6.90794,0.963465,0.730383,1,3,0,7.14339,0.324698 --6.74901,0.954848,0.730383,3,7,0,7.34166,0.255594 --7.15884,0.962133,0.730383,2,3,0,7.17081,0.372846 --6.79631,0.953512,0.730383,3,7,0,7.67153,0.212559 --6.77899,0.984456,0.730383,1,3,0,6.97107,0.281935 --6.87188,0.9522,0.730383,1,3,0,7.18242,0.191477 --6.87832,0.953455,0.730383,1,3,0,7.46533,0.317111 --6.98649,0.888456,0.730383,1,3,0,7.84749,0.17094 --6.98992,0.999375,0.730383,3,7,0,6.99097,0.34284 --7.02201,0.998037,0.730383,2,3,0,7.05484,0.349144 --7.03049,0.998433,0.730383,1,1,0,7.07585,0.350752 --6.92895,1,0.730383,1,1,0,7.02105,0.329691 --6.75823,0.979521,0.730383,1,3,0,7.14248,0.232432 --6.75068,0.997803,0.730383,2,3,0,6.78182,0.240964 --8.35237,0.574506,0.730383,2,3,0,13.154,0.502867 --7.6529,1,0.730383,3,7,0,8.40784,0.111041 --7.35735,0.995629,0.730383,3,7,0,7.63277,0.131322 --7.75532,0.913902,0.730383,2,3,0,8.7762,0.105241 --6.81997,0.974417,0.730383,3,7,0,8.31078,0.204695 --6.88149,0.992042,0.730383,1,1,0,6.8815,0.189403 --6.85683,0.95494,0.730383,1,3,0,7.43411,0.311093 --6.83017,1,0.730383,3,7,0,6.85894,0.302792 --6.78748,0.974073,0.730383,1,3,0,7.08204,0.216028 --7.2004,0.917942,0.730383,1,3,0,7.83385,0.379293 --7.09752,1,0.730383,2,3,0,7.21677,0.36276 --7.61294,0.905532,0.730383,1,1,0,7.61299,0.432476 --8.0773,0.910737,0.730383,1,1,0,8.14014,0.479099 --7.56317,1,0.730383,1,1,0,8.02206,0.426819 --7.28838,1,0.730383,2,3,0,7.54748,0.392095 --7.562,0.982577,0.730383,2,3,0,7.6004,0.426684 --8.69343,0.93199,0.730383,2,3,0,8.69655,0.529525 --9.13224,0.915289,0.730383,1,1,0,9.39957,0.560262 --8.56433,1,0.730383,2,3,0,9.23264,0.519756 --6.76245,0.909018,0.730383,2,3,0,9.68166,0.229175 --6.76245,0.743785,0.730383,1,3,0,9.2772,0.229175 --7.619,0.935896,0.730383,3,7,0,7.62111,0.433155 --8.94437,0.76502,0.730383,1,1,0,8.94546,0.547533 --6.78022,1,0.730383,3,7,0,8.79676,0.282579 --7.12762,0.877362,0.730383,1,3,0,7.84237,0.152869 --6.89484,0.97079,0.730383,2,3,0,7.58625,0.186662 --6.77802,0.974332,0.730383,1,3,0,7.20876,0.281417 --7.07297,0.894013,0.730383,1,3,0,7.69061,0.159253 --7.07561,0.991971,0.730383,2,3,0,7.27981,0.158928 --6.81562,0.948858,0.730383,1,3,0,7.79952,0.297724 --6.75528,0.990408,0.730383,1,3,0,6.91811,0.235148 --7.01859,0.939144,0.730383,2,3,0,7.42556,0.348488 --7.33648,0.941796,0.730383,1,1,0,7.33784,0.398686 --7.60472,0.948504,0.730383,1,1,0,7.65188,0.431553 --7.6555,1,0.730383,3,7,0,7.71767,0.110888 --7.43075,1,0.730383,1,1,0,7.64933,0.125686 --7.2498,0.992573,0.730383,2,3,0,7.66159,0.140545 --7.1727,0.864879,0.730383,1,3,0,9.39065,0.375029 --6.80753,0.933877,0.730383,1,3,0,7.85949,0.208614 --6.95378,0.949687,0.730383,1,3,0,7.43366,0.335261 --6.85043,1,0.730383,1,1,0,6.93623,0.309194 --6.75264,0.989033,0.730383,1,3,0,6.96559,0.238116 --6.76504,0.998799,0.730383,3,7,0,6.76898,0.227423 --6.76504,0.882921,0.730383,1,3,0,7.78866,0.227423 --6.76581,0.993158,0.730383,2,3,0,6.83968,0.226931 --6.80198,0.99648,0.730383,3,7,0,6.81574,0.210509 --6.97701,0.94743,0.730383,1,3,0,7.46178,0.340195 --6.7967,0.954616,0.730383,1,3,0,7.43187,0.212412 --7.01451,0.942258,0.730383,1,3,0,7.51769,0.347702 --6.89562,1,0.730383,1,1,0,6.99631,0.32163 --6.94694,0.997753,0.730383,3,7,0,6.95298,0.333757 --7.51035,0.431108,0.730383,3,7,0,13.6696,0.420632 --7.78282,0.94703,0.730383,1,1,0,7.85969,0.450697 --9.52883,0.702178,0.730383,1,1,0,9.52885,0.585309 --9.35565,1,0.730383,3,7,0,9.65558,0.0518859 --6.88639,0.98196,0.730383,3,7,0,9.47893,0.319251 --6.81763,0.954066,0.730383,1,3,0,7.32225,0.205402 --6.86869,0.993362,0.730383,1,1,0,6.86891,0.192186 --6.77097,0.979139,0.730383,1,3,0,7.11812,0.277393 --6.75249,0.999831,0.730383,3,7,0,6.77314,0.26194 --6.76799,0.998757,0.730383,3,7,0,6.76866,0.22559 --7.00642,0.945067,0.730383,1,3,0,7.3649,0.346126 --6.87516,1,0.730383,3,7,0,6.98601,0.190758 --7.96131,0.852332,0.730383,1,3,0,8.5343,0.0949403 --7.06015,0.974851,0.730383,3,7,0,8.48402,0.356211 --6.75348,0.947778,0.730383,2,3,0,7.60309,0.237091 --6.99886,0.975089,0.730383,2,3,0,7.00018,0.169122 --6.99895,0.915668,0.730383,1,3,0,8.16522,0.34465 --6.97692,1,0.730383,1,1,0,7.02808,0.340177 --6.74819,1,0.730383,2,3,0,6.94399,0.252302 --6.86939,0.972416,0.730383,1,3,0,6.99044,0.192028 --6.74802,0.997543,0.730383,3,7,0,6.90226,0.249834 --6.81286,0.982296,0.730383,2,3,0,6.91807,0.296704 --7.0434,0.714658,0.730383,3,7,0,9.99622,0.163 --7.06461,0.997663,0.730383,1,1,0,7.09386,0.160288 --8.17974,0.899209,0.730383,3,7,0,8.89397,0.488222 --7.56732,1,0.730383,1,1,0,8.09356,0.427297 --8.01185,0.971522,0.730383,2,3,0,8.07014,0.473081 --8.00449,1,0.730383,1,1,0,8.24955,0.472395 --6.79939,1,0.730383,2,3,0,7.9786,0.291418 --6.81006,0.999401,0.730383,2,3,0,6.81541,0.295652 --6.81006,0.946041,0.730383,1,3,0,7.25635,0.295652 --6.81025,0.966829,0.730383,1,3,0,7.10805,0.207721 --6.78677,1,0.730383,1,1,0,6.8076,0.216324 --7.13114,0.927875,0.730383,3,7,0,7.7128,0.368383 --6.81948,0.994429,0.730383,2,3,0,7.19474,0.299113 --6.74815,0.991085,0.730383,2,3,0,6.91558,0.24802 --7.03172,0.961993,0.730383,3,7,0,7.16936,0.164545 --7.34671,0.986663,0.730383,3,7,0,7.35446,0.400054 --7.34671,0.848665,0.730383,1,1,0,8.0089,0.400054 --7.46577,0.976898,0.730383,1,1,0,7.54394,0.415251 --6.99521,0.947433,0.730383,3,7,0,8.06043,0.343903 --7.07481,0.97886,0.730383,2,7,0,7.28481,0.159026 --6.74892,0.978638,0.730383,1,3,0,7.3831,0.255325 --6.81082,0.984332,0.730383,1,3,0,6.88485,0.207536 --6.93739,0.987781,0.730383,2,3,0,6.97702,0.178794 --6.82233,0.97795,0.730383,2,3,0,7.23542,0.203995 --6.82094,1,0.730383,1,1,0,6.83179,0.204405 --7.16295,0.970004,0.730383,2,3,0,7.19397,0.149059 --6.80224,0.999055,0.730383,3,7,0,7.13053,0.210419 --7.38531,0.894682,0.730383,1,3,0,8.25288,0.405125 --7.25393,1,0.730383,1,1,0,7.41783,0.387206 --7.14003,1,0.730383,2,3,0,7.27329,0.369831 --7.2945,0.97084,0.730383,1,1,0,7.32788,0.392948 --7.09992,1,0.730383,1,1,0,7.27806,0.36317 --7.06855,1,0.730383,1,1,0,7.1415,0.357712 --6.85684,0.918322,0.730383,1,3,0,7.87618,0.194915 --6.81536,0.985495,0.730383,3,7,0,7.05617,0.297627 --7.0492,0.881017,0.730383,1,3,0,7.80512,0.162246 --6.87025,0.938547,0.730383,1,3,0,7.93193,0.314909 --6.92819,0.996594,0.730383,2,3,0,6.93538,0.329516 --6.80206,0.957057,0.730383,1,3,0,7.35458,0.210481 --7.93944,0.734301,0.730383,3,7,0,11.0322,0.466239 --9.53959,0.723183,0.730383,1,1,0,9.54715,0.585957 --8.47848,1,0.730383,1,1,0,9.44244,0.513049 --7.52179,1,0.730383,1,1,0,8.29283,0.421989 --6.84991,0.948123,0.730383,3,7,0,8.14083,0.19659 --6.76366,0.993255,0.730383,3,7,0,6.95,0.228341 --6.8899,0.969548,0.730383,2,3,0,7.05508,0.187659 --6.8899,0.98983,0.730383,1,1,0,6.96522,0.187659 --7.43011,0.955865,0.730383,2,3,0,7.4771,0.125733 --6.88472,0.893747,0.730383,1,3,0,8.98842,0.318815 --6.85727,0.990928,0.730383,3,7,0,7.0047,0.311221 --6.86271,0.999864,0.730383,3,7,0,6.87399,0.312789 --6.80529,0.962444,0.730383,1,3,0,7.2223,0.209368 --6.75221,0.944959,0.730383,3,7,0,7.49257,0.238676 --6.79486,0.825316,0.730383,3,7,0,8.75591,0.289491 --6.94798,0.814803,0.730383,2,3,0,8.70954,0.333989 --6.94122,0.88979,0.730383,1,3,0,7.90226,0.178141 --6.74822,0.990176,0.730383,1,3,0,7.07543,0.247543 --6.80095,0.987388,0.730383,2,3,0,6.86977,0.29206 --7.37657,0.937075,0.730383,2,3,0,7.49573,0.403989 --7.66201,0.981694,0.730383,2,3,0,7.71312,0.437904 --6.78941,0.839981,0.730383,2,3,0,9.47883,0.215238 --6.99617,0.952071,0.730383,2,3,0,7.27187,0.169511 --7.17467,0.98174,0.730383,2,3,0,7.3111,0.147843 --7.21183,0.987691,0.730383,3,7,0,7.45859,0.144132 --7.40613,0.981425,0.730383,1,1,0,7.41225,0.127524 --7.35264,1,0.730383,2,3,0,7.44974,0.131701 --6.94796,0.887068,0.730383,1,3,0,9.01676,0.333984 --6.95675,0.999447,0.730383,3,7,0,6.98846,0.335905 --6.95692,0.885164,0.730383,1,3,0,7.97814,0.175537 --7.0216,0.992556,0.730383,1,1,0,7.03034,0.165917 --6.75331,0.988819,0.730383,1,3,0,7.15713,0.237297 --6.83139,0.98039,0.730383,1,3,0,6.94563,0.303197 --6.80369,0.966762,0.730383,1,3,0,7.14166,0.209916 --6.8177,0.998125,0.730383,1,1,0,6.82143,0.205382 --6.8425,0.996748,0.730383,1,1,0,6.84558,0.198457 --6.86018,0.959864,0.730383,1,3,0,7.32958,0.312064 --6.75171,0.989943,0.730383,2,7,0,6.97554,0.239362 --7.04496,0.944781,0.730383,1,3,0,7.25756,0.162795 --7.15802,0.987879,0.730383,1,1,0,7.16534,0.149577 --7.0892,1,0.730383,1,1,0,7.17068,0.157287 --6.76008,0.966109,0.730383,1,3,0,7.5404,0.269738 --7.09571,0.900173,0.730383,1,3,0,7.62621,0.156517 --6.77051,1,0.730383,2,3,0,7.05938,0.224137 --7.0374,0.97426,0.730383,2,3,0,7.0465,0.163788 --6.99742,1,0.730383,1,1,0,7.05144,0.16933 --6.74814,0.985176,0.730383,1,3,0,7.20726,0.251947 --6.80067,0.994878,0.730383,2,3,0,6.80132,0.291943 --7.2013,0.824284,0.730383,3,7,0,8.61287,0.145162 --7.0801,1,0.730383,1,1,0,7.19701,0.158381 --7.17123,0.9445,0.730383,2,3,0,7.90088,0.148197 --8.16795,0.934138,0.730383,2,3,0,8.25753,0.0860639 --7.92179,1,0.730383,1,1,0,8.18601,0.0967924 --6.922,0.984275,0.730383,2,3,0,8.3747,0.181506 --6.76526,0.975955,0.730383,1,3,0,7.21096,0.273676 --7.04877,0.908634,0.730383,1,3,0,7.55221,0.162301 --6.91726,1,0.730383,1,1,0,7.03331,0.18237 --8.97979,0.862189,0.730383,2,5,0,8.98318,0.0604305 --8.68331,1,0.730383,1,1,0,9.02182,0.068444 --9.32954,0.969706,0.730383,1,1,0,9.33217,0.0524296 --10.1795,0.969441,0.730383,1,1,0,10.1795,0.0377097 --7.45911,0.986055,0.730383,3,7,0,9.98215,0.123628 --7.28193,0.987014,0.730383,3,7,0,7.73108,0.39119 --7.54071,0.950549,0.730383,1,1,0,7.58034,0.424212 --7.88104,0.934092,0.730383,1,1,0,7.95123,0.460568 --6.78218,1,0.730383,2,5,0,7.70899,0.218316 --6.77586,1,0.730383,1,1,0,6.78344,0.221304 --6.76817,0.991692,0.730383,2,3,0,6.86864,0.225487 --6.78133,0.998146,0.730383,1,1,0,6.78158,0.218697 --7.35888,0.881684,0.730383,2,3,0,8.34072,0.401669 --7.19673,1,0.730383,2,3,0,7.36922,0.378734 --7.10901,0.96405,0.730383,2,3,0,7.65217,0.364707 --7.56009,0.916777,0.730383,1,1,0,7.56157,0.426463 --7.02069,0.994132,0.730383,3,7,0,7.7358,0.166042 --6.85619,0.973786,0.730383,2,3,0,7.4008,0.195069 --6.89931,0.994732,0.730383,3,7,0,6.9605,0.185778 --6.7773,0.987448,0.730383,3,7,0,7.08644,0.220595 --6.7754,0.990111,0.730383,2,3,0,6.88865,0.221538 --7.19039,0.96809,0.730383,3,7,0,7.19726,0.146248 --6.80519,0.937553,0.730383,1,3,0,8.03302,0.293763 --6.83705,0.992156,0.730383,2,3,0,6.90092,0.30504 --6.98006,0.977095,0.730383,3,7,0,7.09764,0.340827 --7.20218,0.959487,0.730383,1,1,0,7.20553,0.379563 --7.39033,0.930835,0.730383,2,3,0,8.02091,0.405773 --7.11583,1,0.730383,2,3,0,7.35094,0.365851 --7.21293,0.952219,0.730383,2,3,0,7.69614,0.381181 --7.4075,0.989664,0.730383,3,7,0,7.44616,0.407974 --7.39048,1,0.730383,1,1,0,7.51753,0.405792 --8.0001,0.963049,0.730383,3,7,0,8.01568,0.471985 --7.78969,1,0.730383,1,1,0,8.1004,0.451402 --7.49446,1,0.730383,1,1,0,7.80063,0.418731 --8.56193,0.80681,0.730383,1,1,0,8.56384,0.51957 --10.011,0.748253,0.730383,1,1,0,10.0916,0.612937 --7.27301,1,0.730383,2,5,0,9.8601,0.138444 --7.25835,0.999091,0.730383,3,7,0,7.31366,0.387841 --7.02006,1,0.730383,1,1,0,7.21934,0.348769 --7.34797,0.979424,0.730383,3,7,0,7.34825,0.400222 --7.39345,0.997046,0.730383,2,3,0,7.49043,0.406175 --6.77741,1,0.730383,2,3,0,7.3721,0.281089 --6.8042,0.995217,0.730383,3,7,0,6.8364,0.293373 --6.74805,0.991663,0.730383,3,7,0,6.89191,0.25095 --6.75274,0.988389,0.730383,3,7,0,6.86071,0.237988 --6.75577,0.997045,0.730383,1,3,0,6.78319,0.265776 --6.77065,0.986871,0.730383,2,3,0,6.8786,0.277196 --7.58131,0.920669,0.730383,2,3,0,7.66774,0.428899 --7.75284,0.988749,0.730383,2,3,0,7.86399,0.447593 --7.89972,0.970815,0.730383,1,1,0,8.05037,0.462398 --9.24281,0.761622,0.730383,1,1,0,9.25917,0.567481 --7.78013,1,0.730383,2,3,0,8.95035,0.450419 --10.2065,0.767055,0.730383,2,5,0,10.2615,0.0373268 --9.52355,1,0.730383,1,1,0,10.1925,0.048547 --9.59347,0.999137,0.730383,2,3,0,9.76058,0.0472327 --6.96193,0.974384,0.730383,2,5,0,9.35575,0.174732 --6.91402,0.995379,0.730383,2,3,0,7.06592,0.182969 --6.86056,1,0.730383,1,1,0,6.90981,0.194041 --6.74831,0.992709,0.730383,1,3,0,6.95706,0.253011 --8.03491,0.855993,0.730383,3,7,0,8.46414,0.0916306 --7.97969,0.9952,0.730383,3,7,0,8.23932,0.470068 --7.27616,1,0.730383,1,1,0,7.8426,0.390377 --7.00967,0.820291,0.730383,1,3,0,8.93994,0.167577 --6.74863,0.983157,0.730383,1,3,0,7.24789,0.254361 --6.75437,0.999413,0.730383,2,3,0,6.75507,0.264261 --7.07387,0.957104,0.730383,2,3,0,7.20432,0.358654 --6.77278,1,0.730383,2,3,0,7.07278,0.278478 --6.77508,0.986524,0.730383,1,3,0,6.89757,0.2217 --7.07033,0.952307,0.730383,3,7,0,7.36254,0.358028 --6.89306,1,0.730383,1,1,0,7.03849,0.320976 --6.77223,0.901347,0.730383,2,3,0,7.81575,0.278153 --6.75082,0.992598,0.730383,2,3,0,6.84358,0.259427 --6.92988,0.920687,0.730383,2,3,0,7.55189,0.329905 --7.0885,0.971406,0.730383,1,1,0,7.09181,0.361209 --6.79582,0.949264,0.730383,1,3,0,7.64292,0.212741 --6.77306,1,0.730383,1,1,0,6.79266,0.222749 --6.77978,0.987721,0.730383,1,3,0,6.90854,0.282346 --6.76853,0.975337,0.730383,2,3,0,7.01229,0.275865 --6.86126,0.959381,0.730383,1,3,0,7.11187,0.193878 --6.81597,1,0.730383,1,1,0,6.85581,0.205912 --6.77448,0.988151,0.730383,2,3,0,6.95653,0.222005 --6.94103,0.95691,0.730383,1,3,0,7.27059,0.332441 --6.82007,0.947913,0.730383,1,3,0,7.45437,0.204665 --6.80185,0.997909,0.730383,2,7,0,6.85986,0.292425 --6.83832,0.993819,0.730383,1,1,0,6.83977,0.305448 --7.07807,0.86294,0.730383,1,3,0,7.97742,0.158628 --6.78189,0.958757,0.730383,1,3,0,7.65122,0.283433 --6.77699,1,0.730383,1,1,0,6.78429,0.28086 --7.27751,0.83852,0.730383,1,3,0,8.20533,0.138044 --6.80569,0.999275,0.730383,3,7,0,7.25473,0.293962 --6.79514,0.973781,0.730383,1,3,0,7.04834,0.212997 --6.97433,0.985912,0.730383,3,7,0,7.00111,0.172786 --6.94082,1,0.730383,1,1,0,6.98471,0.178209 --6.84647,0.952473,0.730383,1,3,0,7.56608,0.307994 --6.87635,0.988731,0.730383,2,3,0,6.98834,0.316581 --6.74817,1,0.730383,2,3,0,6.8578,0.252168 --6.74942,0.999599,0.730383,1,3,0,6.75183,0.243439 --6.77979,0.992305,0.730383,2,3,0,6.81981,0.219407 --6.78633,0.999093,0.730383,1,1,0,6.78892,0.216507 --6.80122,0.98071,0.730383,1,3,0,7.00532,0.292171 --6.84778,0.997369,0.730383,2,3,0,6.84837,0.308395 --6.76376,0.944671,0.730383,2,3,0,7.36159,0.272601 --6.79578,0.981484,0.730383,1,3,0,6.92659,0.212757 --7.23987,0.912103,0.730383,1,3,0,7.95065,0.385167 --6.93195,1,0.730383,3,7,0,7.23529,0.179738 --8.50321,0.791733,0.730383,1,3,0,9.46577,0.0739931 --7.79787,0.992296,0.730383,3,7,0,8.69981,0.452238 --7.79787,0.84176,0.730383,1,1,0,8.51843,0.452238 --6.75871,1,0.730383,2,3,0,7.69772,0.268569 --7.22223,0.954628,0.730383,2,3,0,7.25912,0.382569 --7.05737,1,0.730383,1,1,0,7.20963,0.355708 --6.77579,0.980467,0.730383,3,7,0,7.28669,0.221339 --6.83405,0.975422,0.730383,1,3,0,7.04966,0.304071 --6.96064,0.751289,0.730383,2,3,0,9.46633,0.336742 --6.80985,0.950466,0.730383,1,3,0,7.4551,0.207851 --6.74802,0.996858,0.730383,1,3,0,6.85464,0.250303 --6.89132,0.968797,0.730383,1,3,0,7.02408,0.18737 --8.71876,0.873735,0.730383,2,5,0,8.71978,0.0674168 --8.73453,0.999196,0.730383,1,1,0,8.89022,0.0669662 --8.33351,1,0.730383,3,7,0,8.83841,0.501308 --7.63966,1,0.730383,1,1,0,8.23163,0.43545 --6.75104,1,0.730383,3,7,0,7.53301,0.259799 --6.75238,0.998097,0.730383,1,3,0,6.76917,0.238447 --6.777,0.991947,0.730383,2,3,0,6.82825,0.220743 --7.16771,0.923676,0.730383,1,3,0,7.71582,0.374247 --7.11033,1,0.730383,1,1,0,7.20532,0.36493 --6.78464,0.950542,0.730383,1,3,0,7.62371,0.217233 --7.23055,0.887383,0.730383,2,5,0,7.87414,0.3838 --7.22131,1,0.730383,3,7,0,7.23279,0.143218 --8.27108,0.93283,0.730383,2,3,0,8.36683,0.0820765 --7.96608,1,0.730383,1,1,0,8.27571,0.0947203 --7.13911,0.993537,0.730383,3,7,0,7.84389,0.369681 --6.90135,0.987331,0.730383,3,7,0,7.30741,0.323072 --7.84147,0.883368,0.730383,2,3,0,8.17559,0.456644 --7.99649,0.969131,0.730383,1,1,0,8.16273,0.471647 --8.36373,0.928119,0.730383,1,1,0,8.51262,0.503801 --7.56103,1,0.730383,1,1,0,8.22116,0.426572 --7.62918,0.986504,0.730383,1,1,0,7.76195,0.434289 --7.11374,1,0.730383,3,7,0,7.6513,0.15443 --6.76363,0.998782,0.730383,3,7,0,7.07017,0.228359 --7.00291,0.952565,0.730383,2,3,0,7.21464,0.168537 --6.78362,0.961324,0.730383,1,3,0,7.48566,0.284299 --8.60512,0.800441,0.730383,2,3,0,9.20619,0.522882 --7.50686,1,0.730383,2,3,0,8.38582,0.420217 --8.23238,0.864406,0.730383,1,1,0,8.25154,0.49278 --7.43414,1,0.730383,1,1,0,8.08049,0.411337 --7.43896,1,0.730383,3,7,0,7.46927,0.125084 --6.74904,0.958483,0.730383,1,3,0,8.13624,0.255665 --6.84514,0.966103,0.730383,3,7,0,7.08597,0.307585 --6.74924,0.990366,0.730383,2,3,0,6.95566,0.243853 --7.1475,0.965216,0.730383,2,3,0,7.14916,0.371037 --8.17815,0.839598,0.730383,2,3,0,8.92187,0.488084 --7.7927,1,0.730383,1,1,0,8.20743,0.451709 --7.28208,1,0.730383,1,1,0,7.70374,0.391211 --6.79882,0.999533,0.730383,3,7,0,7.30562,0.291179 --7.2559,0.873279,0.730383,3,7,0,8.11144,0.139985 --7.37693,0.996177,0.730383,2,3,0,7.39845,0.129772 --6.74967,0.960362,0.730383,1,3,0,8.02243,0.257219 --6.74967,0.901074,0.730383,1,3,0,7.54755,0.257219 --7.62574,0.906686,0.730383,3,7,0,7.81798,0.112669 --7.36937,1,0.730383,1,1,0,7.60925,0.130366 --7.13224,0.997365,0.730383,3,7,0,7.34561,0.152358 --7.17601,0.995466,0.730383,1,1,0,7.20714,0.147706 --7.59189,0.973806,0.730383,3,7,0,7.76805,0.114755 --6.91989,0.87095,0.730383,1,3,0,9.56527,0.327575 --10.7323,0.625697,0.730383,3,7,0,11.4438,0.6496 --9.39314,1,0.730383,2,5,0,10.6337,0.051117 --7.3444,0.961388,0.730383,2,5,0,10.145,0.132368 --7.36127,0.997531,0.730383,3,7,0,7.36216,0.401984 --7.00084,1,0.730383,1,1,0,7.29349,0.345026 --7.18459,0.966261,0.730383,1,1,0,7.19318,0.376874 --7.35873,0.966942,0.730383,1,1,0,7.39616,0.40165 --7.76334,0.922972,0.730383,1,1,0,7.7948,0.448685 --9.79138,0.793652,0.730383,3,7,0,10.2754,0.0437337 --9.96697,0.994219,0.730383,1,1,0,10.1012,0.0408803 --10.238,0.991762,0.730383,1,1,0,10.344,0.0368865 --9.13101,0.997004,0.730383,2,3,0,10.6056,0.0567986 --6.74812,0.999738,0.730383,3,7,0,9.0179,0.248234 --6.84965,0.979343,0.730383,1,3,0,6.93292,0.196657 --6.91065,0.99234,0.730383,1,1,0,6.91165,0.183598 --6.87321,1,0.730383,1,1,0,6.91225,0.191185 --6.88275,0.951175,0.730383,1,3,0,7.48109,0.318293 --6.82728,1,0.730383,1,1,0,6.87527,0.301819 --7.07615,0.867556,0.730383,1,3,0,7.92839,0.158863 --7.08135,0.999013,0.730383,3,7,0,7.08363,0.359967 --6.96752,1,0.730383,1,1,0,7.07311,0.338209 --7.13187,0.970055,0.730383,1,1,0,7.13854,0.368501 --7.32998,0.987576,0.730383,2,3,0,7.35497,0.397809 --7.16968,0.892573,0.730383,3,7,0,8.46386,0.374555 --7.08483,1,0.730383,1,1,0,7.19108,0.360573 --7.57825,0.958676,0.730383,2,5,0,7.5783,0.115614 --6.76647,0.963504,0.730383,1,3,0,8.08246,0.226516 --7.23779,0.929378,0.730383,2,5,0,7.5288,0.141659 --6.7481,0.973969,0.730383,1,3,0,7.64409,0.248404 --6.7481,0.924909,0.730383,1,3,0,7.35851,0.248404 --6.82623,0.984228,0.730383,1,3,0,6.88912,0.202863 --6.98349,0.953949,0.730383,2,3,0,7.32568,0.171391 --6.95084,1,0.730383,1,1,0,6.99531,0.176532 --6.74808,0.98937,0.730383,1,3,0,7.09901,0.248604 --6.75563,0.998398,0.730383,1,3,0,6.76312,0.265629 --6.89297,0.924691,0.730383,3,7,0,7.49006,0.320954 --6.78962,0.870971,0.730383,2,3,0,8.11613,0.287153 --7.00464,0.90603,0.730383,1,3,0,7.57396,0.16829 --7.23197,0.991084,0.730383,3,7,0,7.23209,0.384008 --7.86857,0.872862,0.730383,2,3,0,8.65544,0.45934 --7.41424,1,0.730383,1,1,0,7.81159,0.408831 --7.06679,1,0.730383,2,3,0,7.35101,0.3574 --6.86139,0.915901,0.730383,1,3,0,7.89095,0.193848 --6.81315,1,0.730383,1,1,0,6.85527,0.206792 --6.84795,0.966899,0.730383,1,3,0,7.20807,0.308446 --6.83404,1,0.730383,1,1,0,6.85578,0.304067 --6.78966,1,0.730383,1,1,0,6.82665,0.287175 --7.02193,0.903175,0.730383,1,3,0,7.61935,0.165872 --7.83651,0.940124,0.730383,2,3,0,7.90419,0.100982 --7.44214,1,0.730383,2,3,0,7.80353,0.124852 --6.75634,0.946073,0.730383,1,3,0,8.27485,0.266346 --6.76194,0.999107,0.730383,1,1,0,6.76211,0.271228 --6.91348,0.910398,0.730383,3,7,0,7.66238,0.183069 --6.91569,0.999732,0.730383,1,1,0,6.93673,0.18266 --7.17714,0.905758,0.730383,1,3,0,8.31689,0.37572 --6.75161,1,0.730383,3,7,0,7.1272,0.260687 --6.79623,0.995406,0.730383,2,3,0,6.8013,0.290081 --7.57015,0.918798,0.730383,2,3,0,7.70237,0.427622 --7.34184,1,0.730383,2,3,0,7.5801,0.399405 --6.7483,1,0.730383,2,3,0,7.25966,0.252966 --6.75546,0.997647,0.730383,2,3,0,6.76993,0.265449 --6.81311,0.994516,0.730383,3,7,0,6.81961,0.206805 --7.18242,0.917748,0.730383,1,3,0,7.92411,0.376539 --6.8573,0.996958,0.730383,3,7,0,7.25025,0.194805 --7.37789,0.955614,0.730383,2,3,0,7.4132,0.129697 --7.21925,1,0.730383,1,1,0,7.37415,0.143416 --7.87803,0.969707,0.730383,3,7,0,7.94245,0.460272 --8.37824,0.903494,0.730383,1,1,0,8.48061,0.504989 --8.54596,0.966488,0.730383,1,1,0,8.81662,0.518335 --7.55265,1,0.730383,1,1,0,8.35317,0.425602 --8.03343,0.907954,0.730383,1,1,0,8.08431,0.475083 --6.80059,0.942115,0.730383,3,7,0,8.81612,0.291911 --6.83019,0.960819,0.730383,1,3,0,7.14138,0.201748 --6.82835,1,0.730383,1,1,0,6.8404,0.202263 --6.87519,0.993971,0.730383,1,1,0,6.87621,0.190751 --7.46283,0.8853,0.730383,1,3,0,8.7428,0.41489 --6.81812,0.997114,0.730383,2,3,0,7.50663,0.298628 --7.26328,0.811367,0.730383,1,3,0,8.40574,0.139316 --7.05622,0.98196,0.730383,3,7,0,7.61934,0.355501 --6.87941,1,0.730383,1,1,0,7.02444,0.317406 --6.91996,0.992826,0.730383,1,1,0,6.93165,0.327591 --6.94295,0.995874,0.730383,1,1,0,6.96565,0.332872 --6.92004,0.902299,0.730383,1,3,0,7.81776,0.181863 --6.96336,0.994844,0.730383,1,1,0,6.97307,0.174505 --6.74975,0.990282,0.730383,1,3,0,7.08757,0.242707 --6.74843,0.999626,0.730383,3,7,0,6.75407,0.246429 --6.79973,0.995574,0.730383,2,7,0,6.79975,0.291557 --6.9535,0.979343,0.730383,2,3,0,7.02511,0.335199 --6.99539,0.992392,0.730383,1,1,0,7.01929,0.343939 --6.74971,0.953639,0.730383,2,3,0,7.46378,0.242787 --7.04234,0.94179,0.730383,1,3,0,7.27645,0.163138 --6.74805,0.983143,0.730383,1,3,0,7.28606,0.250994 --9.90277,0.775488,0.730383,2,3,0,10.0436,0.606977 --12.5935,0.39868,0.730383,2,5,0,17.787,0.0157619 --12.304,1,0.730383,2,3,0,12.7318,0.0174479 --11.266,1,0.730383,1,1,0,12.2855,0.0252583 --10.4092,1,0.730383,1,1,0,11.2482,0.0345931 --10.9033,0.987584,0.730383,1,1,0,10.9574,0.0288195 --6.74866,0.974442,0.730383,3,7,0,13.8057,0.245562 --6.75382,0.998382,0.730383,1,3,0,6.76365,0.263615 --6.80095,0.983276,0.730383,1,3,0,6.89745,0.210874 --7.27196,0.956406,0.730383,2,3,0,7.28707,0.138537 --7.3195,0.987422,0.730383,2,3,0,7.60703,0.134425 --7.5655,0.977997,0.730383,1,1,0,7.57068,0.116427 --6.81834,0.902542,0.730383,1,3,0,9.02551,0.298707 --6.81458,0.964119,0.730383,1,3,0,7.14395,0.206345 --7.99939,0.889774,0.730383,2,3,0,7.99952,0.0932062 --7.93979,1,0.730383,1,1,0,8.08704,0.0959419 --8.04964,0.992447,0.730383,1,1,0,8.12355,0.0909888 --8.13186,0.994574,0.730383,1,1,0,8.22249,0.0875242 --7.53725,0.995435,0.730383,2,3,0,8.34045,0.118266 --7.77612,0.973162,0.730383,3,7,0,8.23818,0.104123 --7.72208,1,0.730383,2,3,0,7.85032,0.107068 --7.70724,0.997461,0.730383,3,7,0,7.82048,0.442784 --7.68692,1,0.730383,3,7,0,7.69298,0.109058 --7.58751,1,0.730383,1,1,0,7.73168,0.11503 --7.35957,1,0.730383,1,1,0,7.57633,0.131144 --7.1349,1,0.730383,1,1,0,7.3378,0.152065 --6.99578,1,0.730383,1,1,0,7.12107,0.169569 --6.82142,0.953401,0.730383,1,3,0,7.62333,0.299801 --7.10826,0.859222,0.730383,1,3,0,7.99333,0.155058 --6.92995,0.979682,0.730383,3,7,0,7.47217,0.329922 --7.0538,0.992552,0.730383,2,3,0,7.06027,0.355063 --6.7951,0.991,0.730383,3,7,0,7.17352,0.213011 --7.34941,0.899261,0.730383,1,3,0,8.14892,0.400414 --7.73102,0.927275,0.730383,1,1,0,7.76395,0.445305 --8.6063,0.837565,0.730383,1,1,0,8.63866,0.522972 --6.75159,1,0.730383,3,7,0,8.39616,0.260654 --7.08525,0.912436,0.730383,1,3,0,7.51433,0.157761 --7.00858,1,0.730383,1,1,0,7.08762,0.167731 --7.11769,0.987788,0.730383,3,7,0,7.27081,0.153982 --6.88788,0.998742,0.730383,3,7,0,7.08493,0.319641 --7.02583,0.975481,0.730383,1,1,0,7.02714,0.349871 --6.87725,1,0.730383,1,1,0,6.99954,0.316825 --6.92066,0.984172,0.730383,2,3,0,7.07255,0.327754 --7.00745,0.982478,0.730383,2,7,0,7.15377,0.16789 --6.93492,1,0.730383,1,1,0,7.00444,0.179221 --7.0796,0.983375,0.730383,1,1,0,7.07961,0.158442 --7.08432,0.894332,0.730383,1,3,0,8.6346,0.360484 --7.03668,1,0.730383,1,1,0,7.11281,0.351912 --6.79558,0.755773,0.730383,2,3,0,9.47467,0.289802 --6.82596,0.96341,0.730383,1,3,0,7.11387,0.20294 --6.83361,0.996456,0.730383,2,3,0,6.89227,0.200807 --7.37544,0.894358,0.730383,1,3,0,8.38941,0.403841 --6.97177,0.975119,0.730383,2,3,0,7.65262,0.339103 --7.23466,0.781099,0.730383,1,3,0,8.92048,0.141951 --7.24729,0.998198,0.730383,3,7,0,7.2519,0.386246 --7.43908,0.963336,0.730383,1,1,0,7.4841,0.411954 --8.0446,0.886016,0.730383,1,1,0,8.06594,0.476112 --7.67668,1,0.730383,3,7,0,8.16296,0.439499 --6.75494,1,0.730383,2,3,0,7.53234,0.235496 --6.75494,0.900015,0.730383,1,3,0,7.60187,0.235496 --7.10423,0.938975,0.730383,1,3,0,7.34417,0.155522 --7.05853,0.996982,0.730383,3,7,0,7.17576,0.355918 --6.80717,0.945072,0.730383,1,3,0,7.64071,0.208737 --6.83773,0.969959,0.730383,1,3,0,7.16348,0.305259 --6.75317,0.989496,0.730383,1,3,0,6.9466,0.237462 --7.08087,0.941249,0.730383,1,3,0,7.31352,0.158288 --7.26505,0.980964,0.730383,1,1,0,7.2666,0.139157 --6.75721,0.997965,0.730383,3,7,0,7.19679,0.233316 --7.05173,0.932673,0.730383,2,3,0,7.51286,0.354685 --7.09497,0.991947,0.730383,1,1,0,7.13619,0.362322 --6.97592,1,0.730383,1,1,0,7.08616,0.339969 --7.0692,0.838537,0.730383,1,3,0,8.40168,0.159718 --7.47504,0.980949,0.730383,3,7,0,7.50465,0.416382 --6.75435,1,0.730383,2,3,0,7.39732,0.264238 --6.95399,0.98002,0.730383,2,3,0,6.96899,0.335305 --6.74984,1,0.730383,2,3,0,6.92183,0.24251 --6.75017,0.999082,0.730383,1,3,0,6.75934,0.258259 --6.92626,0.925135,0.730383,2,3,0,7.50519,0.329069 --7.03399,0.980585,0.730383,1,1,0,7.04188,0.351409 --7.00156,0.976042,0.730383,3,7,0,7.33014,0.345167 --7.29139,0.947047,0.730383,1,1,0,7.29286,0.392515 --7.38637,0.981653,0.730383,1,1,0,7.45971,0.405262 --6.76146,0.855795,0.730383,2,3,0,8.89637,0.229887 --6.86601,0.9714,0.730383,1,3,0,7.05784,0.313726 --6.85484,1,0.730383,1,1,0,6.87856,0.310508 --6.96508,0.980676,0.730383,1,1,0,6.96571,0.337691 --6.7673,0.863136,0.730383,2,3,0,8.26078,0.275063 --6.81142,0.975262,0.730383,1,3,0,6.98021,0.207344 --7.14783,0.932314,0.730383,2,3,0,7.51178,0.150662 --6.93945,0.966925,0.730383,2,3,0,7.6755,0.178442 --6.95864,0.99773,0.730383,1,1,0,6.97698,0.17526 --6.829,0.951964,0.730383,1,3,0,7.55551,0.302401 --6.78354,0.975921,0.730383,1,3,0,7.06496,0.21771 --7.16453,0.963881,0.730383,2,3,0,7.17592,0.148894 --7.00244,1,0.730383,2,3,0,7.14719,0.168605 --6.93061,1,0.730383,1,1,0,6.99925,0.179972 --6.74812,0.990579,0.730383,1,3,0,7.06024,0.248245 --6.76877,0.995654,0.730383,1,3,0,6.78773,0.276021 --6.75563,0.989592,0.730383,2,3,0,6.8677,0.26563 --6.85139,0.968491,0.730383,1,3,0,7.02368,0.196229 --6.86932,0.97198,0.730383,2,3,0,7.19666,0.192044 --8.60162,0.89433,0.730383,3,7,0,8.63927,0.0708903 --9.23409,0.975903,0.730383,3,7,0,9.82298,0.566919 --6.91201,1,0.730383,3,7,0,9.60739,0.183344 --7.02272,0.986969,0.730383,1,1,0,7.02313,0.165764 --6.74863,0.982123,0.730383,1,3,0,7.27326,0.254362 --7.08329,0.968917,0.730383,2,3,0,7.09146,0.360306 --6.98414,1,0.730383,1,1,0,7.08252,0.341664 --7.30815,0.753877,0.730383,1,3,0,9.19618,0.135384 --7.6257,0.97173,0.730383,1,1,0,7.62606,0.112671 --6.75975,0.968005,0.730383,1,3,0,8.22949,0.231189 --6.8332,0.978917,0.730383,1,3,0,6.98279,0.303794 --7.18274,0.897455,0.730383,3,7,0,7.86911,0.14702 --6.75038,0.981841,0.730383,1,3,0,7.47642,0.241482 --7.1028,0.969369,0.730383,2,3,0,7.10321,0.363659 --7.3966,0.928345,0.730383,2,3,0,7.9111,0.40658 --6.91249,0.824481,0.730383,2,5,0,8.78536,0.183253 --8.01906,0.758416,0.730383,2,5,0,9.95799,0.473752 --7.26687,1,0.730383,1,1,0,7.87108,0.389059 +# 0.446985 +-6.795512,0.99771733,1.1467501,1,1,0,6.806374,0.21285709 +-6.7488134,0.99841751,1.1467501,1,3,0,6.7892485,0.25499575 +-6.7488134,0.87609438,1.1467501,1,3,0,7.172353,0.25499575 +-6.8738615,0.94817027,1.1467501,2,3,0,6.9873229,0.19104178 +-6.8940539,0.99818575,1.1467501,2,3,0,6.9264894,0.18682006 +-7.002526,0.97232343,1.1467501,1,1,0,7.0249275,0.16859297 +-7.3544056,0.92264166,1.1467501,1,1,0,7.3679326,0.13155857 +-6.821478,1,1.1467501,1,3,0,7.2248759,0.20424571 +-6.8868782,0.98190991,1.1467501,1,1,0,6.898406,0.18827905 +-7.1249888,0.98047982,1.1467501,2,3,0,7.1323061,0.15316214 +-7.237772,0.99175768,1.1467501,2,3,0,7.3095744,0.14165993 +-7.2462932,0.99817881,1.1467501,1,1,0,7.3680648,0.14086773 +-7.1601014,1,1.1467501,1,1,0,7.3125929,0.14935814 +-7.6663804,0.90213054,1.1467501,1,1,0,7.6840958,0.11024805 +-6.8004146,0.9953315,1.1467501,1,3,0,7.500188,0.21106319 +-6.9302432,0.96417118,1.1467501,1,1,0,6.9323004,0.18003701 +-8.4024322,0.79187396,1.1467501,1,3,0,8.5088961,0.077362392 +-6.7714985,0.9757801,1.1467501,2,3,0,8.4992033,0.27771472 +-6.8465752,0.98808065,1.1467501,2,3,0,6.849455,0.30802596 +-7.9357311,0.78345365,1.1467501,2,3,0,8.0024648,0.096132728 +-6.754203,0.87785053,1.1467501,2,3,0,8.5791808,0.2362763 +-7.0349119,0.92545927,1.1467501,1,3,0,7.0699138,0.35158151 +-6.8530558,0.97565912,1.1467501,1,3,0,7.1689951,0.19582285 +-6.7625184,1,1.1467501,1,3,0,6.8259061,0.22912905 +-9.0577237,0.58316247,1.1467501,1,3,0,9.7307186,0.05852374 +-7.8646214,1,1.1467501,2,3,0,8.9061666,0.099570364 +-8.4737731,0.91692866,1.1467501,1,1,0,8.5536411,0.074956485 +-8.5703309,0.98848205,1.1467501,1,1,0,8.8591633,0.071857811 +-6.7480409,0.87033122,1.1467501,1,3,0,8.5574718,0.24922743 +-7.5190081,0.74413771,1.1467501,2,3,0,8.1869036,0.11947963 +-6.7590691,0.97850259,1.1467501,1,3,0,7.3929438,0.23173364 +-7.6992707,0.80129354,1.1467501,1,3,0,7.8419646,0.10835167 +-7.5765433,1,1.1467501,1,1,0,7.8316952,0.11572227 +-7.2913015,1,1.1467501,2,3,0,7.5882602,0.13683339 +-7.181925,1,1.1467501,1,1,0,7.3520642,0.147102 +-7.2835577,0.97833726,1.1467501,1,1,0,7.3696411,0.13751033 +-6.74907,0.99794811,1.1467501,2,3,0,7.2527078,0.25575249 +-6.8478443,0.90079892,1.1467501,2,3,0,7.140366,0.3084133 +-8.4186874,0.52561186,1.1467501,1,1,0,8.4228839,0.50827247 +-7.2499844,0.86546204,1.1467501,1,3,0,9.0580169,0.14052749 +-6.9015299,1,1.1467501,2,3,0,7.1667571,0.18534388 +-6.7824597,1,1.1467501,1,1,0,6.8676661,0.21818965 +-8.0744587,0.75614393,1.1467501,1,3,0,8.2653917,0.089922168 +-6.7590005,0.86932698,1.1467501,2,3,0,8.8425631,0.23178945 +-7.6097819,0.81847992,1.1467501,1,3,0,7.7293446,0.11364407 +-6.8651283,0.97667454,1.1467501,2,3,0,7.8466379,0.19298894 +-6.8388324,1,1.1467501,1,1,0,6.8796818,0.19941036 +-7.1525612,0.92110771,1.1467501,1,1,0,7.1526261,0.15015629 +-6.7487792,0.98829002,1.1467501,1,3,0,7.0819523,0.2451559 +-6.7481135,0.8282748,1.1467501,2,3,0,7.5986245,0.25169561 +-6.7953221,0.98561551,1.1467501,2,3,0,6.8238266,0.21292855 +-8.1253893,0.757586,1.1467501,1,3,0,8.3065392,0.087789969 +-7.6548519,1,1.1467501,1,1,0,8.1334475,0.11092584 +-6.7879638,0.98937083,1.1467501,1,3,0,7.4949852,0.21582747 +-7.0459478,0.92917486,1.1467501,2,3,0,7.2479698,0.35362757 +-6.9367873,1,1.1467501,1,1,0,7.0633479,0.33148526 +-6.7876045,1,1.1467501,1,1,0,6.8859846,0.28621837 +-7.3589255,0.80261128,1.1467501,1,1,0,7.3592522,0.40167484 +-6.915745,0.9659046,1.1467501,1,3,0,7.5484956,0.18264935 +-7.1181788,0.86834085,1.1467501,2,3,0,8.0893405,0.15392682 +-8.3738171,0.75344141,1.1467501,2,3,0,9.5781955,0.50462794 +-10.01175,0.70792083,1.1467501,2,3,0,10.610267,0.61297843 +-7.9991289,1,1.1467501,2,3,0,9.5608321,0.47189418 +-9.0026451,0.6431828,1.1467501,1,1,0,9.4735411,0.55154685 +-7.2169881,1,1.1467501,1,1,0,8.3491522,0.38178862 +-6.7498945,1,1.1467501,1,3,0,7.0593416,0.2577016 +-7.555784,0.49175498,1.1467501,2,3,0,9.6641303,0.1170538 +-7.5217638,0.90866138,1.1467501,1,3,0,8.5499791,0.42198597 +-6.7806886,1,1.1467501,1,3,0,7.391749,0.21899226 +-7.7133198,0.68448299,1.1467501,2,3,0,8.8978154,0.10755795 +-7.2748866,1,1.1467501,1,1,0,7.6685412,0.13827657 +-7.0640571,0.95517635,1.1467501,2,3,0,7.855773,0.16035792 +-7.1843741,0.99091059,1.1467501,2,3,0,7.2418103,0.14685363 +-6.9554948,1,1.1467501,1,1,0,7.1482368,0.17576887 +-6.9685916,0.92438555,1.1467501,2,3,0,7.8268145,0.17367831 +-6.7664909,0.98323386,1.1467501,1,3,0,6.9804204,0.27452099 +-6.7651918,0.95425235,1.1467501,2,3,0,6.921647,0.27362626 +-6.8387239,0.80583185,1.1467501,2,3,0,7.4912609,0.3055762 +-7.6271821,0.72952006,1.1467501,1,1,0,7.6346285,0.43406663 +-6.8877652,1,1.1467501,1,1,0,7.3482799,0.31961049 +-6.8877652,0.79680591,1.1467501,1,1,0,7.2484969,0.31961049 +-7.0618681,0.98153739,1.1467501,2,3,0,7.0629386,0.16063251 +-7.0307174,1,1.1467501,1,1,0,7.1237024,0.16467992 +-6.8776614,1,1.1467501,1,1,0,7.0044403,0.19021884 +-7.6891422,0.68226417,1.1467501,2,3,0,8.9524347,0.44084493 +-6.9264855,0.85692303,1.1467501,2,3,0,8.4233574,0.18070186 +-6.7881204,0.82343484,1.1467501,2,3,0,8.0219088,0.28646013 +-6.8406954,0.70156402,1.1467501,2,3,0,7.972085,0.30620036 +-6.8406954,0.5666576,1.1467501,1,1,0,7.6719941,0.30620036 +-6.9279431,0.96726189,1.1467501,1,1,0,6.9533799,0.3294588 +-6.8367407,0.90007012,1.1467501,2,3,0,7.3451176,0.19996403 +-7.2446997,0.9299988,1.1467501,1,3,0,7.2458019,0.14101516 +-6.9679376,1,1.1467501,1,1,0,7.1949751,0.17378088 +-6.8726113,1,1.1467501,1,1,0,6.9622098,0.19131566 +-6.7770764,0.98193137,1.1467501,2,3,0,7.0072784,0.22070454 +-6.7485007,0.99662817,1.1467501,2,3,0,6.7954674,0.24614441 +-6.8747395,0.96570485,1.1467501,1,3,0,6.8858825,0.31614288 +-6.7875032,0.98961817,1.1467501,1,3,0,6.9219895,0.21601816 +-6.9205498,0.97990554,1.1467501,2,3,0,6.9638482,0.32772932 +-6.9205498,0.35755708,1.1467501,1,1,0,8.3478237,0.32772932 # -# Elapsed Time: 0.010804 seconds (Warm-up) -# 0.026082 seconds (Sampling) -# 0.036886 seconds (Total) +# Elapsed Time: 0.001 seconds (Warm-up) +# 0 seconds (Sampling) +# 0.001 seconds (Total) # diff --git a/test/data/runset-bad/bad-cols-bern-4_config.json b/test/data/runset-bad/bad-cols-bern-4_config.json new file mode 100644 index 00000000..49dbabec --- /dev/null +++ b/test/data/runset-bad/bad-cols-bern-4_config.json @@ -0,0 +1,66 @@ + +{ + "stan_major_version" : "2", + "stan_minor_version" : "37", + "stan_patch_version" : "0", + "model_name" : "bernoulli_model", + "start_datetime" : "2026-07-20 16:58:36 UTC", + "method" : { + "value" : "sample", + "sample" : { + "num_samples" : 100, + "num_warmup" : 1000, + "save_warmup" : false, + "thin" : 1, + "adapt" : { + "engaged" : true, + "gamma" : 0.05, + "delta" : 0.8, + "kappa" : 0.75, + "t0" : 10, + "init_buffer" : 75, + "term_buffer" : 50, + "window" : 25, + "save_metric" : true + }, + "algorithm" : { + "value" : "hmc", + "hmc" : { + "engine" : { + "value" : "nuts", + "nuts" : { + "max_depth" : 10 + } + }, + "metric" : { + "value" : "diag_e" + }, + "metric_file" : "", + "stepsize" : 1, + "stepsize_jitter" : 0 + } + }, + "num_chains" : 1 + } + }, + "id" : 4, + "data" : { + "file" : "test\/data\/bernoulli.data.json" + }, + "init" : "2", + "random" : { + "seed" : 12345 + }, + "output" : { + "file" : "\/tmp\/tmpuisjazeu\/bernoullik799pfr2\/bernoulli-20260720125836_4.csv", + "diagnostic_file" : "", + "refresh" : 100, + "sig_figs" : 8, + "profile_file" : "profile.csv", + "save_cmdstan_config" : true + }, + "num_threads" : 1, + "mpi_enabled" : false, + "stanc_version" : "stanc3 v2.37.0", + "stancflags" : "--filename-in-msg=bernoulli.stan" +} diff --git a/test/data/runset-bad/bad-draws-bern-1.csv b/test/data/runset-bad/bad-draws-bern-1.csv index f0ca71d3..3d99419e 100644 --- a/test/data/runset-bad/bad-draws-bern-1.csv +++ b/test/data/runset-bad/bad-draws-bern-1.csv @@ -1,22 +1,24 @@ # stan_version_major = 2 -# stan_version_minor = 19 -# stan_version_patch = 1 +# stan_version_minor = 37 +# stan_version_patch = 0 # model = bernoulli_model +# start_datetime = 2026-07-20 16:58:36 UTC # method = sample (Default) # sample -# num_samples = 1000 (Default) +# num_samples = 100 # num_warmup = 1000 (Default) -# save_warmup = 0 (Default) +# save_warmup = false (Default) # thin = 1 (Default) # adapt -# engaged = 1 (Default) -# gamma = 0.050000000000000003 (Default) -# delta = 0.80000000000000004 (Default) +# engaged = true (Default) +# gamma = 0.05 (Default) +# delta = 0.8 (Default) # kappa = 0.75 (Default) # t0 = 10 (Default) # init_buffer = 75 (Default) # term_buffer = 50 (Default) # window = 25 (Default) +# save_metric = true # algorithm = hmc (Default) # hmc # engine = nuts (Default) @@ -26,1023 +28,130 @@ # metric_file = (Default) # stepsize = 1 (Default) # stepsize_jitter = 0 (Default) -# id = 1 +# num_chains = 1 (Default) +# id = 1 (Default) # data -# file = /Users/mitzi/github/stan-dev/cmdstanpy/test/files-data/bernoulli.data.R +# file = test/data/bernoulli.data.json # init = 2 (Default) # random -# seed = 73255 +# seed = 12345 # output -# file = /Users/mitzi/github/stan-dev/cmdstanpy/test/files-tmp/bernoulli.output-1.csv +# file = /tmp/tmpuisjazeu/bernoullik799pfr2/bernoulli-20260720125836_1.csv # diagnostic_file = (Default) # refresh = 100 (Default) +# sig_figs = 8 (Default) +# profile_file = profile.csv (Default) +# save_cmdstan_config = true +# num_threads = 1 (Default) +# stanc_version = stanc3 v2.37.0 +# stancflags = --filename-in-msg=bernoulli.stan lp__,accept_stat__,stepsize__,treedepth__,n_leapfrog__,divergent__,energy__,theta # Adaptation terminated -# Step size = 1.19013 +# Step size = 0.766137 # Diagonal elements of inverse mass matrix: -# 0.462508 --10.0146,0.410437,1.19013,2,3,0,10.0344,0.0401433 --10.6752,0.955973,1.19013,1,1,0,10.9525,0.031339 --8.74568,1,1.19013,1,1,0,10.4915,0.0666498 --7.73421,1,1.19013,1,1,0,8.61734,0.106395 --7.34483,1,1.19013,2,3,0,7.60295,0.399804 --6.99554,1,1.19013,2,3,0,7.51978,0.169604 --6.74872,0.97732,1.19013,2,3,0,7.01801,0.245352 --6.76043,0.996921,1.19013,1,3,0,6.76045,0.230662 --6.83182,0.976224,1.19013,1,1,0,6.83206,0.201297 --6.79336,0.956324,1.19013,2,3,0,7.0435,0.213677 --7.01549,0.931368,1.19013,2,3,0,7.15041,0.347891 --7.01549,0.365436,1.19013,1,1,0,8.21791,0.347891 --7.3596,0.930178,1.19013,2,3,0,7.46202,0.401764 --6.98922,1,1.19013,1,1,0,7.28028,0.342698 --6.75558,1,1.19013,1,3,0,6.92439,0.234847 --7.33725,0.866953,1.19013,1,3,0,7.37901,0.132952 --8.02633,0.976063,1.19013,2,3,0,8.42183,0.474426 --7.31014,0.728145,1.19013,2,3,0,9.23076,0.135215 --7.51101,0.956887,1.19013,1,1,0,7.61792,0.120019 --7.57802,0.995467,1.19013,2,3,0,7.75823,0.115629 --7.45469,1,1.19013,1,1,0,7.70648,0.123945 --7.55502,0.979303,1.19013,1,1,0,7.71498,0.117103 --6.75578,0.931522,1.19013,2,3,0,7.47384,0.265778 --7.05088,0.915238,1.19013,1,3,0,7.0509,0.35453 --7.05088,0.612489,1.19013,1,1,0,7.71201,0.35453 --6.89561,1,1.19013,1,1,0,7.03585,0.321627 --6.78269,1,1.19013,1,1,0,6.85708,0.283834 --6.7514,1,1.19013,2,3,0,6.77076,0.260364 --6.74963,1,1.19013,2,3,0,6.75101,0.242964 --6.80186,0.986489,1.19013,1,3,0,6.80255,0.210551 --6.81925,0.994391,1.19013,1,1,0,6.83484,0.204912 --6.78996,1,1.19013,1,1,0,6.82001,0.215013 --7.11492,0.889059,1.19013,2,3,0,7.42437,0.154296 --7.68905,0.876336,1.19013,1,1,0,7.70718,0.108935 --6.75086,0.929121,1.19013,1,3,0,7.53836,0.259502 --7.72929,0.792105,1.19013,2,3,0,8.00686,0.106667 --9.7905,0.90914,1.19013,1,3,0,9.80736,0.0437486 --11.0065,0.919326,1.19013,1,1,0,11.1297,0.0277538 --9.30788,1,1.19013,1,1,0,10.9032,0.0528858 --9.59785,0.973246,1.19013,1,1,0,9.94716,0.0471517 --9.40546,1,1.19013,1,1,0,9.9732,0.0508674 --8.45267,1,1.19013,1,1,0,9.39091,0.0756576 --9.97938,0.842376,1.19013,1,1,0,10.0002,0.0406869 --10.8173,0.945054,1.19013,1,1,0,11.0408,0.0297418 --9.42889,1,1.19013,1,1,0,10.786,0.0503966 --7.93532,1,1.19013,1,1,0,9.22541,0.096152 --7.00062,1,1.19013,1,3,0,7.71278,0.168867 --7.41238,0.817285,1.19013,2,3,0,8.24637,0.408595 --7.11349,1,1.19013,2,3,0,7.32868,0.154459 --6.7569,0.97402,1.19013,2,3,0,7.0648,0.266896 --7.03589,0.892641,1.19013,1,1,0,7.03589,0.351764 --6.80725,0.983881,1.19013,2,3,0,7.07461,0.208708 --6.7873,1,1.19013,1,1,0,6.81133,0.216103 --6.95321,0.841085,1.19013,2,3,0,7.46531,0.335136 --6.7617,1,1.19013,1,1,0,6.87601,0.271046 --6.99124,0.950864,1.19013,2,3,0,6.99176,0.343106 --6.99124,0.891079,1.19013,1,1,0,7.22303,0.343106 --6.99124,0.113716,1.19013,1,1,0,9.47029,0.343106 --6.99124,0.483539,1.19013,1,1,0,7.88825,0.343106 --6.90889,1,1.19013,2,3,0,7.01693,0.32493 --6.90183,1,1.19013,1,1,0,6.96853,0.323191 --6.98853,0.962906,1.19013,1,1,0,7.04691,0.342557 --6.80665,1,1.19013,1,1,0,6.9268,0.294339 --6.86195,0.993272,1.19013,2,3,0,6.86553,0.193717 --7.67071,0.815523,1.19013,1,3,0,7.81708,0.438852 --9.23833,0.464852,1.19013,1,1,0,9.64564,0.567192 --6.8282,1,1.19013,1,3,0,8.44376,0.202304 --7.7717,0.781927,1.19013,1,3,0,7.88491,0.449551 --6.82866,1,1.19013,1,3,0,7.56511,0.202174 --7.00807,0.947593,1.19013,1,1,0,7.0149,0.167803 --6.85711,1,1.19013,1,1,0,6.97878,0.194851 --6.83818,0.939362,1.19013,2,3,0,7.17446,0.199583 --7.20235,0.524802,1.19013,2,3,0,10.1435,0.145059 --6.74869,0.987868,1.19013,2,3,0,7.23623,0.254593 --8.03185,0.68395,1.19013,1,3,0,8.03801,0.474937 --7.52093,1,1.19013,1,1,0,8.12592,0.421888 --6.9844,0.963867,1.19013,1,3,0,7.67645,0.171254 --6.77415,1,1.19013,2,3,0,6.967,0.279272 --6.9204,0.941697,1.19013,1,1,0,6.9248,0.327694 --6.90386,1,1.19013,2,3,0,6.9762,0.323694 --7.75806,0.817665,1.19013,2,3,0,7.8498,0.105092 --8.59839,0.901344,1.19013,2,3,0,8.6448,0.522369 --6.89818,1,1.19013,2,3,0,7.8504,0.322278 --6.776,1,1.19013,2,3,0,6.85354,0.280315 --6.776,0.272218,1.19013,1,1,0,8.35246,0.280315 --7.43254,0.848551,1.19013,2,3,0,7.6024,0.125554 --6.76253,0.997795,1.19013,2,3,0,7.36723,0.271687 --6.76253,0.422606,1.19013,1,3,0,8.37917,0.271687 --6.77741,0.994174,1.19013,1,1,0,6.78173,0.281091 --6.76602,1,1.19013,1,1,0,6.77882,0.274202 --7.85756,0.793535,1.19013,2,3,0,7.85768,0.458248 --8.59173,0.697645,1.19013,1,1,0,9.09706,0.52186 --8.0629,1,1.19013,1,1,0,8.93958,0.477788 --7.34435,0.997365,1.19013,2,3,0,8.66313,0.132372 --6.93663,1,1.19013,1,1,0,7.24523,0.178926 --6.76843,0.729816,1.19013,2,3,0,8.59354,0.275803 --6.75915,0.728485,1.19013,2,3,0,7.63927,0.268954 --6.75915,0.639255,1.19013,1,3,0,8.09114,0.268954 --6.75047,1,1.19013,1,1,0,6.75623,0.258812 --8.24861,0.647514,1.19013,1,3,0,8.61666,0.0829228 --9.80426,0.880548,1.19013,2,3,0,10.0348,0.601435 --8.092,1,1.19013,1,1,0,9.57834,0.480429 --6.76947,1,1.19013,2,3,0,7.51415,0.276464 --7.99262,0.750854,1.19013,2,3,0,8.22766,0.0935109 --10.7565,0.899809,1.19013,1,3,0,10.8383,0.0304143 --6.74839,0.750423,1.19013,2,3,0,11.7736,0.253393 --7.26417,0.8591,1.19013,1,3,0,7.26939,0.388675 --6.7481,1,1.19013,1,3,0,7.0642,0.251568 --6.75583,0.99721,1.19013,2,3,0,6.75922,0.234605 --7.05477,0.920134,1.19013,1,3,0,7.07754,0.355238 --6.75727,1,1.19013,1,1,0,6.93336,0.267254 --6.77153,0.994468,1.19013,1,1,0,6.77394,0.277737 --8.59478,0.693462,1.19013,2,3,0,8.59527,0.522093 --6.96201,1,1.19013,1,3,0,8.3429,0.174719 --6.96201,0.816064,1.19013,1,3,0,8.02441,0.174719 --7.06975,0.990294,1.19013,2,3,0,7.11625,0.159649 --7.46897,0.972881,1.19013,2,3,0,7.659,0.415642 --12.4917,0.093004,1.19013,1,1,0,12.7314,0.721763 --7.03102,1,1.19013,2,3,0,9.97787,0.350851 --11.144,0.452732,1.19013,2,3,0,11.2262,0.668441 --6.89715,1,1.19013,1,1,0,9.17811,0.322016 --6.76829,1,1.19013,1,1,0,6.84761,0.27571 --6.75049,0.936871,1.19013,2,3,0,6.94075,0.258854 --6.78067,0.989249,1.19013,2,3,0,6.7997,0.219001 --6.74922,0.998731,1.19013,1,3,0,6.77429,0.256146 --6.74844,1,1.19013,2,3,0,6.74902,0.253616 --6.74803,0.725549,1.19013,2,3,0,8.04685,0.250323 --7.50906,0.799747,1.19013,1,3,0,7.51764,0.420479 --6.85397,1,1.19013,1,1,0,7.24412,0.310252 --6.91439,0.974589,1.19013,1,1,0,6.95335,0.326261 --7.24528,0.862257,1.19013,1,1,0,7.3024,0.385953 --9.63142,0.475981,1.19013,2,3,0,9.65527,0.0465369 --6.74811,0.761111,1.19013,2,3,0,10.0257,0.251688 --6.74811,0.733241,1.19013,1,3,0,7.37442,0.251688 --6.74811,0.772964,1.19013,1,3,0,7.49186,0.251688 --6.79515,0.977363,1.19013,2,3,0,6.8419,0.212995 --6.82094,0.94474,1.19013,2,3,0,7.04149,0.204404 --6.99752,0.840819,1.19013,2,3,0,7.66026,0.344366 --6.99752,0.160161,1.19013,1,3,0,10.8087,0.344366 --6.9425,0.655759,1.19013,2,3,0,8.25817,0.177924 --7.07909,0.908026,1.19013,2,3,0,7.66413,0.158504 --7.13938,0.994864,1.19013,2,3,0,7.22451,0.151576 --6.76312,0.738931,1.19013,2,3,0,8.95831,0.272129 --6.76312,0.628992,1.19013,1,3,0,8.14472,0.272129 --8.07428,0.566079,1.19013,1,1,0,8.07428,0.478824 --7.09249,1,1.19013,1,1,0,7.74161,0.361898 --7.37601,0.94414,1.19013,2,3,0,7.51518,0.403916 --7.7041,0.652216,1.19013,2,3,0,8.73735,0.108078 --8.27341,0.907274,1.19013,1,1,0,8.36975,0.0819895 --8.71069,0.941978,1.19013,1,1,0,8.90842,0.0676489 --6.85042,0.909183,1.19013,1,3,0,8.40087,0.196467 --6.81658,1,1.19013,1,1,0,6.85754,0.205723 --6.93955,0.981136,1.19013,2,3,0,7.00691,0.332109 --8.67709,0.497216,1.19013,2,3,0,9.76961,0.0686263 --10.0705,0.865346,1.19013,1,1,0,10.1143,0.0392991 --7.15074,1,1.19013,2,3,0,9.0054,0.371555 --6.84841,0.966206,1.19013,2,3,0,7.28836,0.196963 --7.26649,0.871542,1.19013,2,3,0,7.78026,0.139027 --8.02647,0.668226,1.19013,2,3,0,9.74113,0.474439 --7.01345,1,1.19013,2,3,0,7.64681,0.347496 --6.75158,1,1.19013,1,3,0,6.93038,0.239553 --6.75158,0.615771,1.19013,1,3,0,7.77495,0.239553 --6.84306,0.789742,1.19013,2,3,0,7.49172,0.306941 --7.02109,0.926137,1.19013,1,1,0,7.05105,0.348967 --7.54873,0.783137,1.19013,1,1,0,7.65127,0.425147 --8.81341,0.539335,1.19013,1,1,0,9.16427,0.538288 --6.97022,1,1.19013,1,3,0,8.49628,0.173424 --6.80385,1,1.19013,1,1,0,6.92206,0.209861 --7.15933,0.475294,1.19013,2,3,0,9.75142,0.372923 --8.3506,0.565323,1.19013,1,1,0,8.51405,0.502722 --6.8505,1,1.19013,1,1,0,7.68786,0.309217 --6.8505,0.451775,1.19013,1,1,0,7.80779,0.309217 --6.8505,0.655213,1.19013,1,1,0,7.38941,0.309217 --6.99593,0.973496,1.19013,2,3,0,7.02997,0.344049 --7.02477,0.987243,1.19013,1,1,0,7.12754,0.34967 --7.02477,0.246219,1.19013,1,1,0,8.65387,0.34967 --6.84767,1,1.19013,2,3,0,6.98019,0.308359 --7.69093,0.684382,1.19013,1,1,0,7.71567,0.441037 --6.74802,1,1.19013,1,3,0,7.315,0.249836 --6.77346,0.987551,1.19013,2,3,0,6.79663,0.278876 --6.88834,0.954159,1.19013,1,1,0,6.8931,0.319759 --6.76076,0.66862,1.19013,2,3,0,7.95048,0.230412 --7.40117,0.83622,1.19013,1,3,0,7.43564,0.407166 --6.74847,1,1.19013,1,3,0,7.15325,0.246274 --6.7578,0.995412,1.19013,2,3,0,6.76723,0.232793 --6.8846,0.965886,1.19013,1,3,0,6.90485,0.318783 --7.30123,0.830283,1.19013,1,1,0,7.34417,0.393881 --6.77051,1,1.19013,2,3,0,7.07766,0.277109 --6.86553,0.962177,1.19013,1,1,0,6.86976,0.313591 --6.75055,1,1.19013,1,3,0,6.83274,0.241183 --7.97532,0.721016,1.19013,1,3,0,8.16924,0.0942966 --6.85064,0.980794,1.19013,1,3,0,7.71475,0.196411 --6.98669,0.822231,1.19013,2,3,0,7.80617,0.342184 --6.81998,1,1.19013,2,3,0,6.93657,0.29929 --6.81998,0.694109,1.19013,1,1,0,7.29119,0.29929 --6.75075,0.92253,1.19013,2,3,0,7.07968,0.259307 --6.78091,0.988456,1.19013,1,1,0,6.78098,0.282931 --6.74856,0.996336,1.19013,2,3,0,6.79092,0.245931 --6.74944,0.999866,1.19013,2,3,0,6.74966,0.256685 --6.74944,0.914723,1.19013,1,3,0,6.98861,0.256685 --6.87284,0.964842,1.19013,1,3,0,6.87359,0.315623 --7.00912,0.557372,1.19013,2,3,0,8.71556,0.167654 --7.1387,0.981109,1.19013,2,3,0,7.13951,0.369615 --7.35225,0.905484,1.19013,1,1,0,7.51446,0.400792 --7.12468,1,1.19013,2,3,0,7.25713,0.153197 --6.92359,1,1.19013,1,1,0,7.09362,0.18122 --7.08306,0.956584,1.19013,1,1,0,7.11256,0.158024 --7.19378,0.972305,1.19013,1,1,0,7.26955,0.145909 --7.52131,0.912193,1.19013,2,3,0,8.09296,0.421932 --7.04296,0.59435,1.19013,2,3,0,8.98194,0.163057 --7.03963,1,1.19013,2,3,0,7.12954,0.163495 --8.2984,0.746841,1.19013,1,3,0,8.62057,0.498381 --7.06237,0.98186,1.19013,1,3,0,8.34434,0.160569 --6.74813,0.984489,1.19013,2,3,0,7.13363,0.2482 --6.91531,0.464306,1.19013,2,3,0,9.67489,0.326482 --7.08275,0.928655,1.19013,1,1,0,7.1441,0.360212 --8.04638,0.63374,1.19013,1,1,0,8.17463,0.476275 --7.34704,1,1.19013,2,3,0,8.37598,0.132153 --7.86283,0.90224,1.19013,1,3,0,8.47581,0.458771 --6.79432,1,1.19013,1,3,0,7.55085,0.213307 --6.7809,1,1.19013,2,3,0,6.7993,0.218895 --6.94848,0.725307,1.19013,2,3,0,7.89947,0.3341 --6.78158,0.702244,1.19013,2,3,0,7.87713,0.218587 --6.81825,0.996002,1.19013,2,3,0,6.82528,0.205212 --6.74807,0.993984,1.19013,2,3,0,6.82303,0.25121 --7.94706,0.702772,1.19013,1,3,0,7.95581,0.466969 --7.10315,1,1.19013,2,3,0,7.68608,0.363718 --7.03704,1,1.19013,1,1,0,7.19293,0.351979 --7.38998,0.84989,1.19013,1,1,0,7.50217,0.405727 --7.09678,1,1.19013,1,1,0,7.39493,0.362633 --7.09678,0.54629,1.19013,1,1,0,7.89487,0.362633 --6.84333,1,1.19013,2,3,0,7.015,0.307026 --7.35679,0.893721,1.19013,2,3,0,7.3817,0.401392 --6.9779,0.84556,1.19013,2,3,0,7.98673,0.172239 --7.36427,0.905408,1.19013,1,1,0,7.38017,0.13077 --6.75136,0.941474,1.19013,2,3,0,7.41086,0.239885 --6.8837,0.874761,1.19013,2,3,0,7.30101,0.318544 --6.80684,1,1.19013,2,3,0,6.87995,0.208845 --7.20812,0.924255,1.19013,1,3,0,7.20889,0.144494 --6.76555,0.954553,1.19013,2,3,0,7.32401,0.227098 --6.76555,0.734468,1.19013,1,3,0,7.48838,0.227098 --7.35844,0.848845,1.19013,1,3,0,7.39885,0.401611 --7.94172,0.420004,1.19013,2,3,0,9.75424,0.0958517 --7.71125,1,1.19013,1,1,0,8.07347,0.107674 --9.16275,0.79751,1.19013,1,1,0,9.16494,0.0560709 --6.86644,0.870519,1.19013,1,3,0,8.8598,0.19269 --6.76545,1,1.19013,1,1,0,6.83322,0.227161 --7.07157,0.920019,1.19013,1,3,0,7.10716,0.358247 --7.1414,0.989576,1.19013,2,3,0,7.27661,0.370053 --7.48394,0.851856,1.19013,1,1,0,7.64505,0.417463 --6.80375,1,1.19013,1,3,0,7.33555,0.209896 --7.1002,0.914157,1.19013,1,1,0,7.10023,0.155991 --7.41901,0.926142,1.19013,1,1,0,7.46364,0.126556 --6.75683,0.935032,1.19013,2,3,0,7.50318,0.233658 --6.766,0.996808,1.19013,1,1,0,6.7681,0.226812 --6.81299,0.993286,1.19013,2,3,0,6.81505,0.206845 --6.81299,0.870946,1.19013,1,3,0,7.33669,0.206845 --6.78542,1,1.19013,1,1,0,6.81307,0.216895 --6.80048,0.997973,1.19013,2,3,0,6.80051,0.291868 --6.78003,1,1.19013,1,1,0,6.80302,0.282481 --6.76165,0.951611,1.19013,2,3,0,6.94909,0.271001 --6.78946,0.989092,1.19013,1,1,0,6.79277,0.287082 --7.27712,0.8111,1.19013,1,1,0,7.28301,0.390513 --7.74664,0.799268,1.19013,1,1,0,7.97083,0.446945 --6.936,0.984577,1.19013,1,3,0,7.74722,0.179033 --6.99341,0.994623,1.19013,2,3,0,7.04167,0.169916 --7.11527,0.967917,1.19013,1,1,0,7.16725,0.154256 --7.57359,0.898548,1.19013,1,1,0,7.60318,0.11591 --7.57359,0.773727,1.19013,1,3,0,10.4723,0.11591 --7.15338,1,1.19013,2,3,0,7.51726,0.150069 --6.78652,0.968355,1.19013,2,3,0,7.38636,0.21643 --6.95378,0.957048,1.19013,2,3,0,7.01325,0.33526 --6.95378,0.940156,1.19013,1,1,0,7.10992,0.33526 --7.31845,0.847602,1.19013,1,1,0,7.3925,0.396246 --6.75366,1,1.19013,1,3,0,7.08601,0.263422 --9.38648,0.540923,1.19013,2,3,0,9.63777,0.0512526 --7.67369,1,1.19013,1,3,0,9.12047,0.109822 --6.92408,1,1.19013,1,3,0,7.48145,0.181132 --6.83181,1,1.19013,2,3,0,6.89628,0.303335 --8.01456,0.748652,1.19013,2,3,0,8.17171,0.0925283 --7.14894,1,1.19013,1,1,0,7.8287,0.150543 --6.78036,1,1.19013,1,3,0,7.03797,0.219144 --6.83564,0.94199,1.19013,2,3,0,7.03992,0.20026 --6.7689,1,1.19013,2,3,0,6.82752,0.276106 --6.76286,1,1.19013,2,3,0,6.76656,0.228892 --8.83627,0.563481,1.19013,1,3,0,8.87843,0.539925 --7.01211,1,1.19013,1,3,0,8.59496,0.167233 --7.01211,0.610417,1.19013,1,3,0,9.57804,0.167233 --7.01211,0.860922,1.19013,1,3,0,7.94703,0.167233 --7.01211,0.96221,1.19013,1,1,0,7.17252,0.167233 --6.91175,1,1.19013,1,1,0,7.01831,0.183392 --6.82056,1,1.19013,1,1,0,6.89582,0.204518 --6.77343,1,1.19013,1,1,0,6.80882,0.222551 --6.75559,0.982473,1.19013,2,3,0,6.84029,0.234833 --6.83581,0.924705,1.19013,2,3,0,7.03857,0.304641 --7.17025,0.864339,1.19013,1,1,0,7.19415,0.374645 --7.13076,1,1.19013,1,1,0,7.31564,0.368321 --6.86292,1,1.19013,1,1,0,7.04951,0.312851 --6.86292,0.804658,1.19013,1,1,0,7.16695,0.312851 --6.75012,0.851155,1.19013,2,3,0,7.38293,0.241966 --6.7758,0.991825,1.19013,2,3,0,6.78516,0.280203 --6.79455,0.992527,1.19013,1,1,0,6.80374,0.289358 --6.75932,0.911881,1.19013,2,3,0,7.10024,0.269097 --7.66809,0.757254,1.19013,1,3,0,7.66818,0.438566 --7.34215,1,1.19013,1,1,0,7.76942,0.399446 --6.97178,1,1.19013,1,1,0,7.25555,0.339106 --6.85525,1,1.19013,2,3,0,6.95772,0.195293 --7.1098,0.929162,1.19013,1,1,0,7.11641,0.15488 --6.82818,0.960545,1.19013,2,3,0,7.44141,0.20231 --7.09648,0.931148,1.19013,2,3,0,7.23062,0.362582 --6.89255,1,1.19013,2,3,0,7.13454,0.187123 --6.89255,0.8708,1.19013,1,3,0,7.5535,0.187123 --7.02285,0.984664,1.19013,2,3,0,7.04139,0.349304 --6.74842,1,1.19013,1,3,0,6.9254,0.246479 --6.97306,0.438051,1.19013,2,3,0,10.0665,0.339372 --6.78709,0.608182,1.19013,2,3,0,8.29286,0.216189 --7.00907,0.888806,1.19013,2,3,0,7.35668,0.346644 --7.6528,0.741621,1.19013,1,1,0,7.74875,0.436896 --7.70322,0.975885,1.19013,1,1,0,8.11432,0.442355 --6.75721,1,1.19013,1,3,0,7.36516,0.233319 --7.15719,0.907558,1.19013,1,3,0,7.1751,0.149665 --7.01738,1,1.19013,2,3,0,7.17525,0.166499 --7.08563,0.9172,1.19013,2,3,0,7.75817,0.157715 --8.24468,0.891265,1.19013,1,3,0,8.24841,0.0830718 --8.54396,0.958546,1.19013,1,1,0,8.77664,0.072687 --7.13593,0.951537,1.19013,2,3,0,8.9506,0.369164 --7.13593,0.932467,1.19013,1,1,0,7.37943,0.369164 --6.93533,1,1.19013,1,1,0,7.11571,0.331154 --6.77369,0.986194,1.19013,2,3,0,6.96925,0.222414 --6.79664,0.992346,1.19013,1,1,0,6.80268,0.212437 --6.77888,1,1.19013,1,1,0,6.79897,0.219836 --6.75219,0.999455,1.19013,2,3,0,6.78159,0.26153 --6.75219,0.216,1.19013,1,3,0,9.98458,0.26153 --8.88338,0.533039,1.19013,1,3,0,8.88602,0.543268 --7.15725,1,1.19013,2,3,0,8.21366,0.372594 --7.02034,1,1.19013,1,1,0,7.20476,0.348825 --6.90597,1,1.19013,1,1,0,7.02929,0.324215 --6.74995,1,1.19013,1,3,0,6.8575,0.242292 --7.69356,0.777413,1.19013,1,3,0,7.82105,0.108677 --7.42314,1,1.19013,1,1,0,7.75179,0.126249 --7.42314,0.911069,1.19013,1,1,0,7.8757,0.126249 --8.0848,0.937445,1.19013,2,3,0,8.21227,0.479779 --6.75302,1,1.19013,1,3,0,7.57242,0.237649 --6.85236,0.763219,1.19013,2,3,0,7.60538,0.309773 --6.74802,0.913536,1.19013,2,3,0,7.13999,0.2498 --7.28469,0.862205,1.19013,2,3,0,7.53741,0.137411 --8.43037,0.797346,1.19013,1,1,0,8.43094,0.0764078 --6.75886,0.988358,1.19013,2,3,0,8.29235,0.268698 --6.75886,0.796445,1.19013,1,3,0,7.3768,0.268698 --6.75592,1,1.19013,2,3,0,6.75773,0.23451 --6.83858,0.921052,1.19013,2,3,0,7.05272,0.30553 --6.75913,0.957692,1.19013,2,3,0,6.97229,0.231682 --6.79133,0.989036,1.19013,1,1,0,6.79257,0.214469 --6.97699,0.718288,1.19013,2,3,0,7.97212,0.340191 --6.97699,0.197431,1.19013,1,1,0,8.83995,0.340191 --6.90957,1,1.19013,1,1,0,7.01025,0.325098 --6.9636,0.976764,1.19013,1,1,0,7.02691,0.337376 --7.06509,0.985276,1.19013,2,3,0,7.1502,0.357097 --7.11866,0.975991,1.19013,1,1,0,7.25154,0.366323 --8.64896,0.48067,1.19013,1,1,0,8.79187,0.526201 --6.91483,1,1.19013,2,3,0,7.88895,0.326367 --6.76832,0.650489,1.19013,2,3,0,8.0505,0.225398 --6.95169,0.879213,1.19013,2,3,0,7.35008,0.334803 --6.95169,0.315695,1.19013,1,1,0,8.30121,0.334803 --7.3867,0.910057,1.19013,2,3,0,7.45878,0.405304 --7.02906,1,1.19013,2,3,0,7.48009,0.164904 --7.85982,0.821539,1.19013,1,1,0,7.85995,0.0998093 --8.62166,0.888277,1.19013,1,1,0,8.70146,0.0702798 --6.84445,0.915271,1.19013,1,3,0,8.31456,0.197958 --6.97094,0.987001,1.19013,2,3,0,7.01224,0.33893 --7.50182,0.783744,1.19013,1,1,0,7.58144,0.419614 --7.33241,1,1.19013,2,3,0,7.6762,0.398137 --6.9032,1,1.19013,1,1,0,7.19036,0.323532 --7.60911,0.725218,1.19013,1,1,0,7.65738,0.432047 --7.04441,1,1.19013,1,1,0,7.45905,0.353344 --6.8273,0.852412,1.19013,2,3,0,7.53421,0.202559 --6.8273,0.760127,1.19013,1,3,0,7.62704,0.202559 --7.68351,0.808828,1.19013,2,3,0,8.22292,0.109254 --6.87975,1,1.19013,1,3,0,7.47569,0.189772 --6.8569,1,1.19013,2,3,0,6.90445,0.1949 --7.8801,0.769784,1.19013,1,3,0,8.02304,0.460477 --6.9868,0.978411,1.19013,1,3,0,7.92711,0.170894 --7.12643,0.963325,1.19013,1,1,0,7.17387,0.153002 --7.00639,0.941951,1.19013,2,3,0,7.75835,0.168041 --6.92171,1,1.19013,1,1,0,7.02215,0.181559 --6.93436,0.99633,1.19013,1,1,0,6.98702,0.179319 --7.1597,0.940461,1.19013,1,1,0,7.18364,0.1494 --7.59857,0.960828,1.19013,2,3,0,7.72213,0.430859 --6.75526,1,1.19013,1,3,0,7.24431,0.265242 --6.75287,0.767152,1.19013,2,3,0,7.75354,0.262436 --6.78731,0.613017,1.19013,2,3,0,8.2586,0.286082 --7.00127,0.955661,1.19013,2,3,0,7.0089,0.345111 --6.83331,0.993823,1.19013,2,3,0,7.09214,0.200888 --6.95584,0.96362,1.19013,1,1,0,6.96816,0.175713 --7.22592,0.977734,1.19013,2,3,0,7.3426,0.383116 --7.44602,0.901631,1.19013,1,1,0,7.6492,0.412817 --6.76543,1,1.19013,1,3,0,7.23252,0.227171 --6.82606,0.979919,1.19013,1,1,0,6.82736,0.202912 --6.82431,0.761758,1.19013,2,3,0,8.08168,0.300805 --6.74866,0.730173,1.19013,2,3,0,7.65286,0.245566 --6.76053,0.992451,1.19013,2,3,0,6.77746,0.270107 --9.47599,0.448536,1.19013,1,3,0,9.4763,0.582102 --9.47599,0.0841293,1.19013,1,3,0,13.127,0.582102 --8.02415,1,1.19013,2,3,0,9.34585,0.474224 --7.15839,1,1.19013,1,1,0,7.77622,0.372774 --8.18322,0.770379,1.19013,2,3,0,8.34692,0.488526 --7.12516,1,1.19013,1,1,0,7.827,0.367398 --6.86412,0.845348,1.19013,2,3,0,7.66381,0.19322 --6.86412,0.863451,1.19013,1,3,0,7.51559,0.19322 --6.75045,0.987964,1.19013,2,3,0,6.89606,0.241352 --6.92128,0.95306,1.19013,1,3,0,6.93252,0.327901 --6.92128,0.151292,1.19013,1,1,0,9.07835,0.327901 --9.2525,0.334109,1.19013,1,1,0,9.30351,0.568105 --6.7756,1,1.19013,1,3,0,8.3128,0.221436 --7.54432,0.819922,1.19013,2,3,0,7.96901,0.117801 --6.97552,1,1.19013,1,1,0,7.40525,0.172602 --6.80185,1,1.19013,1,1,0,6.92443,0.210556 --6.96673,0.95021,1.19013,1,1,0,6.96973,0.173971 --6.75014,0.989644,1.19013,1,3,0,6.91887,0.258204 --6.87967,0.962995,1.19013,1,3,0,6.88014,0.317474 --6.74907,1,1.19013,1,3,0,6.82987,0.255764 --6.80953,0.979834,1.19013,2,3,0,6.82986,0.207955 --8.09921,0.654969,1.19013,2,3,0,8.99156,0.0888766 --7.23836,1,1.19013,1,1,0,7.92931,0.141605 --6.99004,1,1.19013,2,3,0,7.15485,0.342864 --6.82163,0.981638,1.19013,2,3,0,7.12496,0.204201 --6.83875,0.994593,1.19013,1,1,0,6.86059,0.199432 --6.8102,0.948894,1.19013,2,3,0,7.0913,0.20774 --7.3709,0.850052,1.19013,2,3,0,7.84266,0.130246 --7.15876,1,1.19013,1,1,0,7.3941,0.149499 --7.01079,1,1.19013,1,1,0,7.17166,0.167419 --6.80754,1,1.19013,2,3,0,6.9509,0.208612 --6.80754,0.932262,1.19013,1,1,0,6.96931,0.208612 --6.75087,1,1.19013,1,3,0,6.78813,0.240654 --6.75992,0.74572,1.19013,2,3,0,7.95901,0.269608 --6.75992,0.809406,1.19013,1,3,0,7.33032,0.269608 --6.75433,0.780175,1.19013,2,3,0,7.6718,0.264207 --6.83713,0.967861,1.19013,1,1,0,6.83732,0.305068 --6.83713,0.0723057,1.19013,1,1,0,9.86764,0.305068 --6.86639,0.624574,1.19013,2,3,0,8.36703,0.192702 --6.77539,1,1.19013,1,1,0,6.83856,0.221544 --6.76941,1,1.19013,1,1,0,6.78,0.224757 --7.07929,0.919671,1.19013,1,3,0,7.11976,0.359607 --7.67652,0.870818,1.19013,2,3,0,7.80543,0.439482 --6.77162,1,1.19013,1,1,0,7.28661,0.27779 --6.8761,0.974745,1.19013,2,3,0,6.90761,0.190556 --6.7826,0.98383,1.19013,2,3,0,7.00706,0.218125 --7.42209,0.841449,1.19013,1,3,0,7.48353,0.409823 --6.75755,1,1.19013,1,3,0,7.14384,0.267513 --9.43847,0.40553,1.19013,2,3,0,10.4435,0.0502056 --7.00715,0.908529,1.19013,1,3,0,9.11629,0.167934 --7.09293,0.992434,1.19013,2,3,0,7.15475,0.156845 --7.55382,0.976181,1.19013,2,3,0,7.90337,0.425738 --7.07179,0.731816,1.19013,2,3,0,8.56417,0.159397 --7.8145,0.947275,1.19013,2,3,0,7.81824,0.102109 --7.37566,1,1.19013,1,1,0,7.79824,0.129871 --7.55324,0.962845,1.19013,1,1,0,7.67842,0.117219 --6.7576,0.964243,1.19013,1,3,0,7.3681,0.232969 --6.80835,0.982826,1.19013,1,1,0,6.80866,0.208345 --6.80835,0.779981,1.19013,1,3,0,7.72422,0.208345 --6.74802,0.701702,1.19013,2,3,0,8.53482,0.249846 --6.74802,0.913359,1.19013,1,3,0,6.94453,0.249846 --7.46667,0.810026,1.19013,1,3,0,7.47551,0.415362 --6.74883,1,1.19013,1,3,0,7.17801,0.255038 --6.79485,0.782623,1.19013,2,3,0,7.45746,0.289488 --6.85577,0.975222,1.19013,1,1,0,6.8702,0.310783 --6.74811,0.895596,1.19013,2,3,0,7.20844,0.24838 --7.11199,0.88437,1.19013,2,3,0,7.26075,0.15463 --6.86439,0.95564,1.19013,2,3,0,7.51427,0.193157 --6.86334,0.931218,1.19013,2,3,0,7.23155,0.193398 --7.20212,0.908603,1.19013,1,1,0,7.20552,0.145082 --7.46669,0.980368,1.19013,2,3,0,7.53959,0.123089 --7.7461,0.945671,1.19013,1,1,0,7.8655,0.105742 --8.5374,0.841712,1.19013,1,3,0,9.55312,0.517671 --6.81253,1,1.19013,1,3,0,7.99524,0.20699 --7.28423,0.864242,1.19013,2,3,0,7.74308,0.137451 --6.7543,0.982091,1.19013,1,3,0,7.14689,0.236169 --6.82676,0.980194,1.19013,1,3,0,6.83992,0.301643 --6.82676,0.289148,1.19013,1,1,0,8.28801,0.301643 --8.60411,0.444164,1.19013,1,1,0,8.6194,0.522805 --6.76514,1,1.19013,1,1,0,7.79303,0.27359 --11.3177,0.298197,1.19013,2,3,0,11.4153,0.0247915 --14.8395,0.66893,1.19013,1,3,0,14.9042,0.00726539 --9.38039,1,1.19013,2,3,0,15.0861,0.0513771 --8.68314,1,1.19013,2,3,0,9.47514,0.0684488 --7.16501,0.906941,1.19013,2,3,0,10.1736,0.148844 --7.247,0.966744,1.19013,2,3,0,8.25868,0.140802 --7.10403,1,1.19013,1,1,0,7.2859,0.155546 --7.80948,0.851392,1.19013,1,1,0,7.81725,0.102369 --6.79438,0.96647,1.19013,1,3,0,7.57336,0.213287 --7.03396,0.902369,1.19013,2,3,0,7.30148,0.351402 --6.87374,1,1.19013,2,3,0,7.00763,0.31587 --6.98422,0.98241,1.19013,2,3,0,7.02942,0.34168 --6.98422,0.206995,1.19013,1,1,0,8.79605,0.34168 --7.08988,0.953797,1.19013,1,1,0,7.18409,0.361448 --6.8439,0.768391,1.19013,2,3,0,7.83078,0.198099 --6.76078,1,1.19013,1,1,0,6.81609,0.230398 --6.93247,0.934297,1.19013,2,3,0,7.07794,0.179647 --6.95312,0.994082,1.19013,1,1,0,7.00728,0.176157 --6.83767,1,1.19013,1,1,0,6.93234,0.199718 --7.25953,0.900734,1.19013,1,3,0,7.37557,0.38801 --8.11303,0.663638,1.19013,1,1,0,8.32599,0.482321 --7.38226,1,1.19013,2,3,0,8.42526,0.129356 --6.88129,1,1.19013,1,1,0,7.24579,0.189446 --8.21786,0.71266,1.19013,1,3,0,8.38674,0.491532 --7.06479,1,1.19013,1,1,0,7.79048,0.357043 --7.24062,0.981254,1.19013,2,3,0,7.24114,0.141394 --7.24062,0.82679,1.19013,1,1,0,7.97838,0.141394 --7.50461,0.902384,1.19013,2,3,0,8.18385,0.419948 --7.24635,1,1.19013,1,1,0,7.59482,0.386109 --9.6347,0.315233,1.19013,1,1,0,9.83198,0.591621 --7.33578,1,1.19013,1,1,0,8.76008,0.398591 --6.79118,1,1.19013,1,1,0,7.10701,0.287865 --6.79118,0.654634,1.19013,1,1,0,7.33624,0.287865 --8.23139,0.526087,1.19013,1,1,0,8.23596,0.492696 --7.42232,1,1.19013,1,1,0,8.13112,0.409853 --8.11465,0.715171,1.19013,1,1,0,8.40739,0.482465 --7.00819,1,1.19013,1,1,0,7.68778,0.346472 --6.78697,0.49828,1.19013,2,3,0,8.96776,0.216242 --6.74842,1,1.19013,1,3,0,6.77428,0.246499 --7.48351,0.807417,1.19013,1,3,0,7.49562,0.417411 --6.82644,1,1.19013,1,3,0,7.37781,0.202804 --7.10033,0.924133,1.19013,2,3,0,7.26335,0.363239 --6.75524,1,1.19013,1,3,0,6.99433,0.235186 --6.872,0.655813,1.19013,2,3,0,8.12025,0.315393 --6.7501,0.871525,1.19013,2,3,0,7.31635,0.241999 --7.13779,0.904405,1.19013,1,3,0,7.16622,0.15175 --7.13779,0.906966,1.19013,1,3,0,8.02858,0.15175 --7.05312,1,1.19013,2,3,0,7.18938,0.161742 --8.26143,0.875193,1.19013,1,3,0,8.26996,0.0824386 --7.86379,1,1.19013,1,1,0,8.35133,0.0996115 --7.38943,1,1.19013,1,1,0,7.83765,0.128801 --7.16299,1,1.19013,1,1,0,7.4078,0.149055 --7.58193,0.908744,1.19013,1,1,0,7.62381,0.115381 --6.77905,0.918555,1.19013,2,3,0,7.77515,0.219755 --8.23541,0.738434,1.19013,2,3,0,8.70044,0.0834257 --7.73115,1,1.19013,1,1,0,8.26222,0.106564 --7.74216,0.997947,1.19013,1,1,0,7.98133,0.105958 --7.18461,1,1.19013,1,1,0,7.64724,0.146829 --7.18461,0.235238,1.19013,1,3,0,13.9073,0.146829 --6.9431,1,1.19013,1,1,0,7.14335,0.177822 --10.6551,0.508078,1.19013,1,3,0,11.4705,0.0315733 --8.70732,1,1.19013,1,1,0,10.4658,0.067746 --7.78885,1,1.19013,1,1,0,8.61182,0.103448 --8.14701,0.980309,1.19013,2,3,0,8.30056,0.0869071 --6.85925,0.969903,1.19013,1,3,0,7.86643,0.194347 --6.85925,0.729349,1.19013,1,3,0,7.82335,0.194347 --6.88647,0.991753,1.19013,1,1,0,6.91811,0.188364 --7.26108,0.960667,1.19013,2,3,0,7.26545,0.139515 --7.57885,0.932429,1.19013,1,1,0,7.65347,0.115576 --6.99749,1,1.19013,2,3,0,7.44029,0.16932 --6.78217,1,1.19013,1,1,0,6.92959,0.218318 --10.3679,0.468882,1.19013,1,3,0,11.4539,0.035131 --10.795,0.991279,1.19013,2,3,0,11.1702,0.0299863 --8.3165,1,1.19013,1,3,0,10.5386,0.0804026 --7.65695,1,1.19013,1,1,0,8.27716,0.110802 --7.18998,1,1.19013,1,1,0,7.5925,0.146289 --7.62933,0.956626,1.19013,2,3,0,7.7232,0.434306 --6.7504,1,1.19013,1,3,0,7.26693,0.25868 --6.76385,0.994878,1.19013,1,1,0,6.76408,0.272664 --6.76385,0.488235,1.19013,1,3,0,9.39191,0.272664 --6.74803,1,1.19013,1,3,0,6.75844,0.250471 --6.77029,0.993736,1.19013,1,3,0,6.77101,0.276979 --8.6863,0.683346,1.19013,2,3,0,8.68663,0.528994 --7.18046,1,1.19013,1,1,0,8.13419,0.376235 --8.4941,0.532136,1.19013,1,1,0,8.66709,0.514282 --6.78031,1,1.19013,1,3,0,7.89128,0.219167 --8.85633,0.56981,1.19013,1,3,0,8.92102,0.541354 --7.04541,1,1.19013,1,1,0,8.10148,0.353529 --6.89299,1,1.19013,2,3,0,7.03066,0.320958 --7.51404,0.871102,1.19013,2,3,0,7.5881,0.119814 --7.15094,0.843233,1.19013,2,3,0,8.71724,0.371588 --7.4977,0.849977,1.19013,1,1,0,7.66324,0.41912 --7.65813,0.969333,1.19013,2,3,0,7.99254,0.43748 --7.07816,1,1.19013,1,1,0,7.51505,0.359409 --6.75093,1,1.19013,1,3,0,6.94777,0.259607 --6.75093,0.515602,1.19013,1,3,0,9.13264,0.259607 --6.81906,0.888386,1.19013,2,3,0,7.18702,0.298965 --6.79859,1,1.19013,1,1,0,6.82893,0.291084 --6.8949,0.982763,1.19013,2,3,0,6.90976,0.18665 --7.07059,0.983808,1.19013,2,3,0,7.09159,0.159545 --7.07059,0.986401,1.19013,1,1,0,7.19427,0.159545 --7.90965,0.831864,1.19013,1,3,0,8.25861,0.463365 --7.83281,0.584172,1.19013,1,3,0,9.44306,0.10117 --6.88585,1,1.19013,1,3,0,7.59839,0.188492 --6.75051,0.999354,1.19013,1,3,0,6.84315,0.241246 --6.95447,0.462482,1.19013,2,3,0,9.71991,0.335409 --6.85086,1,1.19013,2,3,0,6.94577,0.309325 --6.99257,0.940802,1.19013,1,1,0,7.02688,0.343373 --6.83309,1,1.19013,1,1,0,6.95065,0.303756 --6.74807,1,1.19013,1,3,0,6.80264,0.251254 --6.74807,0.592979,1.19013,1,3,0,8.46867,0.251254 --7.09471,0.903965,1.19013,1,3,0,7.10024,0.362278 --8.47383,0.518008,1.19013,1,1,0,8.60608,0.512681 --7.02199,1,1.19013,1,1,0,7.88482,0.34914 --8.89357,0.641056,1.19013,2,3,0,8.99047,0.543985 --6.75716,1,1.19013,1,3,0,8.04788,0.233364 --6.94198,0.956233,1.19013,1,3,0,6.9445,0.178012 --6.94198,0.391958,1.19013,1,3,0,9.74459,0.178012 --6.82383,0.958009,1.19013,2,3,0,7.25427,0.203554 --6.76432,1,1.19013,2,3,0,6.81867,0.273008 --6.76162,0.768833,1.19013,2,3,0,7.47859,0.270986 --6.78235,0.538483,1.19013,2,3,0,8.80908,0.283667 --6.76288,1,1.19013,1,1,0,6.77886,0.271952 --6.75761,1,1.19013,1,1,0,6.76397,0.267568 --7.85022,0.713901,1.19013,1,3,0,8.12368,0.10029 --7.7638,1,1.19013,2,3,0,8.05683,0.104783 --6.84501,0.994711,1.19013,1,3,0,7.53426,0.197817 --7.01582,0.98357,1.19013,2,3,0,7.02649,0.166716 --6.87247,1,1.19013,1,1,0,6.99358,0.191346 --6.87247,0.539118,1.19013,1,3,0,9.75828,0.191346 --6.7971,1,1.19013,2,3,0,6.85621,0.212264 --6.84906,0.993911,1.19013,2,3,0,6.85847,0.308783 --8.83656,0.653419,1.19013,2,3,0,8.85959,0.539946 --8.83656,0.437625,1.19013,2,3,0,11.0909,0.539946 --10.3972,0.53974,1.19013,2,3,0,11.3552,0.63319 --6.77193,1,1.19013,1,1,0,8.75136,0.277975 --6.77193,0.470417,1.19013,1,3,0,9.62037,0.277975 --6.97687,0.918871,1.19013,1,1,0,6.97984,0.340166 --7.16739,0.917775,1.19013,1,1,0,7.25555,0.374196 --6.91243,0.969776,1.19013,2,3,0,7.3057,0.183265 --6.8418,1,1.19013,2,3,0,6.88955,0.306548 --8.71778,0.422187,1.19013,1,1,0,8.73831,0.531327 --7.33829,1,1.19013,1,1,0,8.29704,0.398929 --7.33829,0.320557,1.19013,1,1,0,8.78806,0.398929 --6.92244,0.971567,1.19013,1,3,0,7.44476,0.181427 --10.6393,0.545702,1.19013,2,3,0,11.0642,0.0317578 --7.38272,0.954714,1.19013,1,3,0,10.3892,0.12932 --10.0485,0.771386,1.19013,1,3,0,10.2058,0.0396288 --9.03326,1,1.19013,2,3,0,10.0793,0.0591141 --8.53615,1,1.19013,2,3,0,9.18338,0.0729348 --8.55412,0.997624,1.19013,1,1,0,8.91725,0.072366 --9.56385,0.891982,1.19013,1,1,0,9.6593,0.0477843 --10.5993,0.923649,1.19013,1,1,0,10.7511,0.0322317 --9.5571,1,1.19013,1,1,0,10.6691,0.047911 --7.07725,0.92949,1.19013,1,3,0,9.23232,0.158728 --6.97952,1,1.19013,2,3,0,7.04698,0.340715 --6.80075,1,1.19013,2,3,0,6.91725,0.291977 --6.75717,1,1.19013,2,3,0,6.78493,0.267156 --6.7491,0.998996,1.19013,2,3,0,6.76196,0.244235 --6.75349,0.996995,1.19013,2,3,0,6.76189,0.23708 --6.75349,0.466939,1.19013,1,3,0,8.37639,0.23708 --7.12376,0.911707,1.19013,1,3,0,7.14333,0.153299 --9.82982,0.666917,1.19013,1,3,0,10.085,0.0430898 --11.1124,0.916809,1.19013,1,1,0,11.224,0.0267039 --9.70019,1,1.19013,1,1,0,11.0964,0.0453067 --9.70019,0.916098,1.19013,1,1,0,10.9566,0.0453067 --6.76681,0.755084,1.19013,1,3,0,9.75898,0.274735 --6.83393,0.973402,1.19013,1,1,0,6.83765,0.30403 --7.0441,0.958377,1.19013,2,3,0,7.0749,0.162908 --7.25107,0.948748,1.19013,1,1,0,7.30097,0.140428 --7.64974,0.916622,1.19013,1,1,0,7.70912,0.111229 --6.96474,1,1.19013,2,3,0,7.4338,0.337619 --6.83075,1,1.19013,1,1,0,6.93381,0.302986 --7.92303,0.61139,1.19013,1,1,0,7.94072,0.46466 --7.43505,1,1.19013,2,3,0,7.72426,0.12537 --7.42205,1,1.19013,1,1,0,7.60893,0.12633 --8.06273,0.883491,1.19013,1,1,0,8.11142,0.0904239 --8.55174,0.88768,1.19013,2,3,0,10.0813,0.0724408 --13.5066,0.590005,1.19013,1,3,0,15.6878,0.755153 --9.67322,0.837411,1.19013,2,3,0,15.7971,0.0457845 --8.42091,1,1.19013,2,3,0,9.5763,0.0767294 --6.75087,0.843637,1.19013,2,3,0,8.39718,0.259513 --6.8154,0.979727,1.19013,2,3,0,6.83223,0.206088 --6.87434,0.981689,1.19013,1,1,0,6.88865,0.190936 --7.70352,0.873079,1.19013,1,3,0,7.71251,0.108111 --8.15829,0.923966,1.19013,1,1,0,8.27754,0.0864513 --8.29447,0.918404,1.19013,2,3,0,9.92484,0.0812085 --8.55719,0.964017,1.19013,1,1,0,8.80716,0.0722695 --7.21001,1,1.19013,1,3,0,8.28687,0.144309 --7.66064,0.954621,1.19013,2,3,0,7.74973,0.437754 --6.96325,0.387172,1.19013,2,3,0,10.6763,0.174522 --8.43876,0.795596,1.19013,1,3,0,8.4899,0.0761245 --7.44272,0.93911,1.19013,2,3,0,9.1688,0.412407 --6.90457,0.978995,1.19013,1,3,0,7.48757,0.184756 --6.90457,0.549092,1.19013,1,3,0,8.66835,0.184756 --6.90457,0.933799,1.19013,1,1,0,7.09881,0.184756 --7.35368,0.88608,1.19013,1,1,0,7.35671,0.131617 --6.76888,0.999245,1.19013,2,3,0,7.29132,0.276089 --6.76513,1,1.19013,1,1,0,6.77359,0.273586 --6.77173,0.997416,1.19013,1,1,0,6.77765,0.277852 --6.77173,0.658108,1.19013,1,1,0,7.3206,0.277852 --6.76254,1,1.19013,2,3,0,6.76866,0.229115 --7.40563,0.859937,1.19013,1,3,0,7.44535,0.127562 --7.40563,0.914942,1.19013,1,1,0,7.8373,0.127562 --7.96641,0.895413,1.19013,1,1,0,8.02438,0.0947054 --7.07003,0.95902,1.19013,2,3,0,8.53811,0.159615 --7.0936,0.99795,1.19013,2,3,0,7.18448,0.156766 --8.01777,0.812205,1.19013,1,1,0,8.01799,0.0923859 --7.67844,0.929779,1.19013,2,3,0,8.96205,0.43969 --7.22748,0.896138,1.19013,1,3,0,8.20064,0.14263 --7.52428,0.958376,1.19013,2,3,0,7.53053,0.422283 --6.809,1,1.19013,1,1,0,7.22073,0.295246 --6.75366,0.912661,1.19013,2,3,0,7.10674,0.263428 --6.74894,1,1.19013,1,1,0,6.75197,0.255372 --6.75348,0.99829,1.19013,1,1,0,6.75358,0.263212 --6.74806,0.730044,1.19013,2,3,0,7.95958,0.248847 --7.22874,0.871382,1.19013,2,3,0,7.47255,0.14251 --7.57429,0.92586,1.19013,1,1,0,7.63832,0.115865 --8.30817,0.959268,1.19013,2,3,0,8.36169,0.0807061 --8.16504,1,1.19013,1,1,0,8.55579,0.0861801 --8.50814,0.951428,1.19013,1,1,0,8.71802,0.0738334 --8.10473,1,1.19013,1,1,0,8.63456,0.088646 --8.23763,0.917773,1.19013,2,3,0,9.83958,0.0833408 --6.76267,1,1.19013,2,3,0,7.96027,0.271794 --7.55814,0.775707,1.19013,1,3,0,7.75933,0.116901 --6.81655,0.732004,1.19013,2,3,0,10.1701,0.205734 --7.06361,0.884859,1.19013,2,3,0,7.46816,0.356832 --6.9668,1,1.19013,2,3,0,7.01968,0.17396 --6.82455,1,1.19013,1,1,0,6.93227,0.203346 --6.77933,1,1.19013,1,1,0,6.81528,0.219624 --6.78496,0.961342,1.19013,2,3,0,6.93368,0.217095 --6.91073,0.9426,1.19013,2,3,0,7.07917,0.325379 --6.75272,1,1.19013,1,3,0,6.84799,0.262246 --7.29789,0.848864,1.19013,1,3,0,7.29897,0.393419 --6.95392,0.921898,1.19013,2,3,0,7.72217,0.176025 --6.79964,1,1.19013,2,3,0,6.92348,0.29152 --6.74911,0.975535,1.19013,2,3,0,6.88162,0.255874 --7.90403,0.715623,1.19013,1,3,0,8.1411,0.0976423 --6.76291,0.936944,1.19013,1,3,0,7.67309,0.228856 --6.78449,0.992659,1.19013,1,1,0,6.78741,0.217297 --7.09075,0.937145,1.19013,1,3,0,7.0916,0.157103 --7.09075,0.926377,1.19013,1,1,0,7.37339,0.157103 --6.866,0.968235,1.19013,2,3,0,7.45183,0.192791 --6.77265,1,1.19013,1,1,0,6.83674,0.222967 --7.1173,0.911349,1.19013,1,3,0,7.16242,0.366097 --7.08247,1,1.19013,1,1,0,7.24303,0.360162 --6.85379,0.942144,1.19013,2,3,0,7.35469,0.195646 --7.22881,0.898943,1.19013,1,1,0,7.23014,0.142503 --7.02432,1,1.19013,2,3,0,7.15983,0.349584 --7.02432,0.680352,1.19013,1,1,0,7.5638,0.349584 --6.84696,1,1.19013,1,1,0,6.97935,0.308144 --6.75378,0.85154,1.19013,2,3,0,7.27591,0.236744 --6.75462,0.733597,1.19013,2,3,0,8.06211,0.264536 --7.16355,0.884214,1.19013,1,3,0,7.16385,0.373592 --9.48183,0.32745,1.19013,1,1,0,9.64127,0.582458 --8.80595,1,1.19013,1,1,0,10.121,0.537752 --8.90428,0.953152,1.19013,1,1,0,9.87948,0.544737 --7.51712,0.392653,1.19013,2,3,0,11.9179,0.119606 --7.00875,1,1.19013,1,1,0,7.40185,0.167706 --6.80805,1,1.19013,2,3,0,6.94982,0.208444 --6.98906,0.946017,1.19013,1,1,0,6.99227,0.170558 --7.75152,0.829773,1.19013,1,1,0,7.75162,0.105447 --7.90395,0.904477,1.19013,1,3,0,8.91793,0.46281 --7.64159,1,1.19013,2,3,0,8.17951,0.435663 --6.77276,1,1.19013,1,3,0,7.36858,0.222905 --6.79286,0.993271,1.19013,1,1,0,6.79892,0.213868 --7.83602,0.754715,1.19013,1,3,0,7.91205,0.456098 --6.9309,1,1.19013,1,1,0,7.4778,0.330142 --6.77592,1,1.19013,1,1,0,6.87187,0.280269 --11.7976,0.253809,1.19013,2,3,0,11.8578,0.0208742 --6.83929,1,1.19013,2,3,0,10.2599,0.305755 --6.75179,0.834688,1.19013,2,3,0,7.31617,0.239254 --6.77567,0.989171,1.19013,2,3,0,6.80018,0.280134 --6.77229,0.909705,1.19013,2,3,0,7.10029,0.278189 --6.74806,1,1.19013,1,3,0,6.76447,0.248938 --7.3399,0.841314,1.19013,1,3,0,7.34898,0.399145 --6.81999,1,1.19013,1,1,0,7.12813,0.299296 --8.24907,0.523912,1.19013,1,1,0,8.26245,0.494209 --7.78627,1,1.19013,2,3,0,8.49483,0.451051 --6.79955,1,1.19013,1,1,0,7.35727,0.291483 --6.75177,1,1.19013,2,3,0,6.78107,0.26093 --6.9334,0.940981,1.19013,2,3,0,7.03434,0.179485 --7.27955,0.881851,1.19013,2,3,0,7.95479,0.137863 --7.36256,0.981191,1.19013,1,1,0,7.48979,0.130906 --6.86341,1,1.19013,1,1,0,7.22398,0.193381 --6.74822,0.996622,1.19013,1,3,0,6.83285,0.252467 --6.83034,0.936377,1.19013,2,3,0,6.99619,0.302849 --6.89848,0.971675,1.19013,1,1,0,6.92709,0.322353 --7.65716,0.707829,1.19013,1,1,0,7.7031,0.437374 --7.2994,1,1.19013,2,3,0,7.50556,0.136133 --7.74748,0.914989,1.19013,1,3,0,8.31285,0.447033 --7.24337,1,1.19013,1,1,0,7.71507,0.385676 --6.97302,1,1.19013,1,1,0,7.20546,0.339365 --7.54559,0.890505,1.19013,2,3,0,7.58867,0.117718 --9.80917,0.897148,1.19013,1,3,0,9.86316,0.0434342 --9.80917,0.917851,1.19013,1,1,0,11.0925,0.0434342 --6.74891,0.753514,1.19013,2,3,0,10.2568,0.255285 --8.99865,0.544731,1.19013,1,3,0,9.66536,0.059962 --9.83543,0.92192,1.19013,1,1,0,9.99917,0.0429967 --8.029,1,1.19013,1,1,0,9.59713,0.09189 --6.74906,0.876897,1.19013,2,3,0,8.07239,0.244326 --7.13618,0.877066,1.19013,2,3,0,7.30964,0.151925 --6.8839,1,1.19013,2,3,0,7.07667,0.188898 --7.02751,0.959487,1.19013,1,1,0,7.04961,0.165113 --7.01145,1,1.19013,1,1,0,7.10016,0.167326 --6.74911,0.993236,1.19013,1,3,0,6.93818,0.244208 --6.74919,0.99999,1.19013,2,3,0,6.74958,0.243984 --6.82958,0.749673,1.19013,2,3,0,7.62888,0.302595 --6.76123,1,1.19013,1,1,0,6.80428,0.270677 --6.76123,0.512236,1.19013,1,3,0,9.10401,0.270677 --6.77457,0.834649,1.19013,2,3,0,7.40726,0.279513 --9.20444,0.551276,1.19013,2,3,0,9.41989,0.0551326 --7.16857,1,1.19013,1,3,0,8.87156,0.148473 --6.78721,1,1.19013,1,3,0,7.05417,0.216141 --8.11069,0.739215,1.19013,1,3,0,8.23891,0.0883978 --7.17244,1,1.19013,1,1,0,7.91175,0.148073 --6.86496,1,1.19013,2,3,0,7.08973,0.313428 --6.7501,1,1.19013,1,3,0,6.82042,0.258123 --6.75108,0.989218,1.19013,2,3,0,6.78082,0.25986 --6.75108,0.305632,1.19013,1,3,0,9.14758,0.25986 --6.78407,0.771583,1.19013,2,3,0,7.4872,0.284519 --7.07871,0.883232,1.19013,1,1,0,7.08432,0.359505 --7.11448,0.983883,1.19013,1,1,0,7.25429,0.365626 --6.7603,1,1.19013,1,3,0,7.01473,0.230761 --6.78671,0.99641,1.19013,2,3,0,6.78856,0.216348 --7.0555,0.508738,1.19013,2,3,0,9.33499,0.35537 --6.80372,0.935196,1.19013,2,3,0,7.29531,0.209904 --7.92901,0.77575,1.19013,2,3,0,8.44068,0.0964499 --7.85753,1,1.19013,1,1,0,8.15962,0.0999237 --6.74842,0.917011,1.19013,1,3,0,7.67919,0.253518 --8.53864,0.607241,1.19013,1,3,0,8.98813,0.0728556 --7.5249,1,1.19013,1,1,0,8.37776,0.119085 --6.98161,0.953271,1.19013,2,3,0,8.07169,0.171675 --6.76244,1,1.19013,1,3,0,6.91202,0.229182 --7.26147,0.863869,1.19013,2,3,0,7.59984,0.13948 --6.74994,0.951966,1.19013,2,3,0,7.29513,0.24232 --6.7957,0.955755,1.19013,2,3,0,6.90652,0.289854 --6.74893,0.73628,1.19013,2,3,0,7.61124,0.255367 --7.12652,0.882322,1.19013,2,3,0,7.25505,0.152991 --7.61755,0.981746,1.19013,2,3,0,7.96806,0.432992 --7.13418,1,1.19013,1,1,0,7.5461,0.36888 --7.1427,0.604963,1.19013,2,3,0,8.5863,0.151215 --7.65527,0.981312,1.19013,2,3,0,8.0506,0.437167 --7.6992,0.978956,1.19013,1,1,0,8.1116,0.441925 --7.2449,1,1.19013,1,1,0,7.69203,0.385899 --7.63515,0.916869,1.19013,2,3,0,7.84476,0.43495 --7.31883,1,1.19013,1,1,0,7.73034,0.396297 --6.75682,1,1.19013,1,3,0,7.08528,0.266821 --6.75682,0.583427,1.19013,1,3,0,8.46623,0.266821 --8.31511,0.627512,1.19013,1,3,0,8.75477,0.0804532 --8.61316,0.908672,1.19013,2,3,0,10.2956,0.0705379 --8.12699,1,1.19013,1,1,0,8.71075,0.0877242 --9.76956,0.810794,1.19013,1,1,0,9.77384,0.0441042 --6.75614,1,1.19013,2,3,0,9.02845,0.26615 --6.74815,0.991152,1.19013,2,3,0,6.78145,0.252041 --6.74815,0.93428,1.19013,1,3,0,6.93006,0.252041 --6.74834,0.9993,1.19013,2,3,0,6.75026,0.253157 --7.28626,0.862908,1.19013,2,3,0,7.52588,0.137274 --7.65773,0.92313,1.19013,1,1,0,7.72752,0.110756 --8.00167,0.979909,1.19013,2,3,0,8.13851,0.0931037 --6.8893,0.892313,1.19013,2,3,0,8.59621,0.187782 --7.29806,0.894017,1.19013,1,1,0,7.30126,0.136249 --7.20595,1,1.19013,1,1,0,7.38469,0.144705 --6.75064,0.972722,1.19013,1,3,0,7.11439,0.259116 --6.80306,0.949185,1.19013,2,3,0,6.94182,0.292916 --7.60787,0.82245,1.19013,2,3,0,7.76263,0.113762 --7.47384,1,1.19013,1,1,0,7.7355,0.122584 --8.1932,0.958114,1.19013,2,3,0,8.23753,0.0850627 --9.15424,0.88102,1.19013,1,1,0,9.23103,0.0562649 --6.82246,0.996752,1.19013,2,3,0,8.97628,0.203956 --7.08594,0.929508,1.19013,2,3,0,7.22628,0.360766 --6.7841,1,1.19013,1,1,0,6.96421,0.284534 --6.74827,0.995233,1.19013,2,3,0,6.79974,0.24721 --6.8027,0.984728,1.19013,1,3,0,6.80578,0.292772 --6.74857,1,1.19013,1,3,0,6.78253,0.254167 --6.77237,0.991992,1.19013,2,3,0,6.78062,0.223116 --7.11424,0.912008,1.19013,1,3,0,7.15897,0.365586 --6.76452,1,1.19013,1,1,0,6.96971,0.273153 --12.0269,0.237351,1.19013,1,3,0,12.0297,0.704664 --8.35491,1,1.19013,2,3,0,10.9729,0.503076 --7.02337,0.996139,1.19013,1,3,0,8.3082,0.165675 --7.99032,0.895424,1.19013,1,3,0,7.99148,0.0936148 --7.49109,1,1.19013,1,1,0,7.97519,0.121381 --7.76007,0.982715,1.19013,2,3,0,7.88611,0.104984 --7.13037,1,1.19013,1,1,0,7.63285,0.152564 --7.92236,0.838423,1.19013,1,1,0,7.92764,0.0967653 --6.74958,0.919759,1.19013,1,3,0,7.71556,0.24306 --6.82958,0.96843,1.19013,2,3,0,6.88421,0.201918 --6.74854,0.997483,1.19013,1,3,0,6.80893,0.254037 --6.9096,0.941402,1.19013,2,3,0,7.02185,0.183796 --7.8711,0.799851,1.19013,2,3,0,8.53372,0.0992496 --8.68064,0.960965,1.19013,2,3,0,8.75365,0.0685221 --6.94067,1,1.19013,2,3,0,8.1256,0.332362 --7.03786,0.570057,1.19013,2,3,0,8.64576,0.163728 --6.83603,1,1.19013,2,3,0,6.98469,0.200154 --7.10042,0.64641,1.19013,2,3,0,8.49591,0.363253 --10.2708,0.496704,1.19013,2,3,0,10.3937,0.626731 --8.3887,0.941614,1.19013,2,3,0,11.591,0.0778376 --8.8295,0.944153,1.19013,1,1,0,9.03962,0.0643333 --8.42542,1,1.19013,1,1,0,9.00184,0.0765757 --9.71719,0.860969,1.19013,1,1,0,9.76141,0.0450084 --6.88205,0.962354,1.19013,2,3,0,10.0108,0.318108 --8.53104,0.465858,1.19013,1,1,0,8.56763,0.517176 --6.84132,1,1.19013,1,1,0,7.77735,0.306398 --7.45727,0.760533,1.19013,1,1,0,7.48065,0.414207 --7.02342,0.742741,1.19013,2,3,0,8.40035,0.165668 --8.11493,0.792857,1.19013,2,3,0,8.90112,0.0882219 --8.11493,0.791961,1.19013,1,1,0,9.72121,0.0882219 --7.18199,1,1.19013,1,1,0,7.91868,0.147095 --6.75205,0.973442,1.19013,1,3,0,7.09874,0.261328 --6.98892,0.926918,1.19013,2,3,0,7.11175,0.170579 --7.06959,0.823688,1.19013,2,3,0,8.05873,0.357897 --6.8135,0.973968,1.19013,2,3,0,7.16156,0.206682 --7.02645,0.762783,1.19013,2,3,0,7.86018,0.349988 --6.87794,1,1.19013,2,3,0,7.01635,0.190159 --6.85356,1,1.19013,1,1,0,6.90089,0.195702 --6.75011,0.999908,1.19013,1,3,0,6.82021,0.241986 --6.75011,0.612177,1.19013,1,3,0,8.38742,0.241986 --6.83616,0.757943,1.19013,2,3,0,7.60437,0.304755 --6.83616,0.594527,1.19013,1,1,0,7.48579,0.304755 --7.26694,0.827716,1.19013,1,1,0,7.28981,0.389069 --7.26694,0.410825,1.19013,1,1,0,8.42678,0.389069 --6.75106,1,1.19013,1,3,0,7.05811,0.259827 --6.76085,0.956931,1.19013,2,3,0,6.87503,0.270372 --6.75545,1,1.19013,1,1,0,6.76107,0.265436 --6.81251,0.983219,1.19013,2,3,0,6.83918,0.206998 --7.31535,0.907402,1.19013,1,3,0,7.31842,0.134773 --9.25677,0.670582,1.19013,1,3,0,9.85216,0.568379 --6.93569,1,1.19013,2,3,0,8.21992,0.331236 --6.83221,1,1.19013,2,3,0,6.92988,0.201189 --7.01151,0.947802,1.19013,1,1,0,7.019,0.167318 --7.29914,0.885034,1.19013,2,3,0,7.8737,0.393592 --6.85244,1,1.19013,1,1,0,7.13076,0.309796 --6.85244,0.700058,1.19013,1,1,0,7.31567,0.309796 --6.77992,0.99947,1.19013,2,3,0,6.87511,0.219346 --7.38218,0.849681,1.19013,1,3,0,7.44011,0.404718 --7.58161,0.909161,1.19013,1,1,0,7.85976,0.428934 --6.81112,1,1.19013,2,3,0,7.2531,0.296051 --7.09958,0.883612,1.19013,1,1,0,7.1146,0.363111 --8.66292,0.653142,1.19013,2,3,0,8.71713,0.069044 --8.70252,0.838436,1.19013,1,3,0,10.7082,0.530198 --6.86969,1,1.19013,1,3,0,8.22007,0.191961 --9.66244,0.651885,1.19013,2,3,0,10.1597,0.0459772 --9.67897,0.99858,1.19013,1,1,0,10.163,0.0456822 --8.85108,1,1.19013,1,1,0,9.74875,0.0637535 --9.10615,0.971844,1.19013,1,1,0,9.42363,0.0573765 --10.0274,0.918489,1.19013,1,1,0,10.1787,0.0399486 --7.37823,1,1.19013,1,3,0,9.71162,0.12967 --6.76659,0.984162,1.19013,1,3,0,7.21673,0.226444 --7.15504,0.914693,1.19013,1,3,0,7.16486,0.149893 --7.17936,0.840291,1.19013,2,3,0,8.24989,0.376066 --6.77631,1,1.19013,1,1,0,7.01192,0.280489 --6.79577,0.469145,1.19013,2,3,0,9.5918,0.289884 --6.74861,0.793442,1.19013,2,3,0,7.40334,0.254287 --7.52015,0.822794,1.19013,2,3,0,7.7952,0.119403 --7.03601,1,1.19013,1,1,0,7.41781,0.163973 --7.46326,0.900208,1.19013,1,1,0,7.48419,0.123332 --6.75792,0.980143,1.19013,2,3,0,7.559,0.232695 --6.86759,0.827784,1.19013,2,3,0,7.38985,0.31417 --6.86759,0.954785,1.19013,1,1,0,6.9712,0.31417 --6.75429,1,1.19013,1,1,0,6.82271,0.264163 --6.76362,0.996409,1.19013,1,1,0,6.76523,0.2725 --6.76362,0.519092,1.19013,1,1,0,7.60945,0.2725 --8.20613,0.640456,1.19013,1,3,0,8.63514,0.0845562 --8.83378,0.917813,1.19013,1,1,0,8.97696,0.0642177 --7.08252,1,1.19013,1,3,0,8.51057,0.158089 --7.48253,0.970165,1.19013,2,3,0,7.64928,0.417292 --6.74996,1,1.19013,1,3,0,7.20956,0.242269 --6.83865,0.953674,1.19013,2,3,0,6.94922,0.199458 --7.02286,0.957914,1.19013,2,3,0,7.18232,0.349306 --6.77392,0.996821,1.19013,1,3,0,6.98137,0.222298 --6.75924,1,1.19013,2,3,0,6.77123,0.231596 --7.20344,0.899164,1.19013,1,3,0,7.2236,0.144952 --7.26029,0.986454,1.19013,1,1,0,7.37639,0.139586 --7.97099,0.841059,1.19013,2,3,0,8.9752,0.0944947 --6.9628,0.965296,1.19013,2,3,0,8.38786,0.174594 --7.00853,0.995775,1.19013,2,3,0,7.06626,0.167737 --7.29447,0.972304,1.19013,2,3,0,7.3739,0.392944 --6.95563,0.950308,1.19013,2,3,0,7.64408,0.175746 --7.11516,0.957526,1.19013,1,1,0,7.15217,0.154268 --6.84526,0.958158,1.19013,2,3,0,7.48104,0.197753 --6.84526,0.642804,1.19013,1,3,0,8.65324,0.197753 --6.75915,0.721564,1.19013,2,3,0,8.44644,0.268947 --7.40313,0.813008,1.19013,2,3,0,7.56886,0.127752 --7.31568,1,1.19013,1,1,0,7.51761,0.134746 --8.40574,0.936123,1.19013,2,3,0,8.40834,0.0772485 --7.79667,1,1.19013,1,1,0,8.40676,0.103037 --9.11961,0.818639,1.19013,1,1,0,9.13014,0.0570628 --7.916,1,1.19013,1,1,0,8.97106,0.0970683 --9.47474,0.802845,1.19013,1,1,0,9.47779,0.0494904 --6.75747,0.765644,1.19013,2,3,0,9.66349,0.267444 --6.93082,0.932545,1.19013,1,1,0,6.931,0.330124 --6.93082,0.343652,1.19013,1,1,0,8.18667,0.330124 --6.77759,0.79395,1.19013,2,3,0,7.54976,0.220454 --8.00499,0.669903,1.19013,2,3,0,8.72154,0.0929547 --6.96584,1,1.19013,1,3,0,7.7593,0.174111 --6.84493,1,1.19013,1,1,0,6.94491,0.197836 --7.11209,0.902963,1.19013,2,3,0,7.53261,0.154618 --7.34709,0.944563,1.19013,1,1,0,7.40691,0.132149 --6.76153,0.954634,1.19013,1,3,0,7.26217,0.270914 --6.74828,1,1.19013,1,3,0,6.75664,0.252873 --7.59781,0.785187,1.19013,1,3,0,7.73915,0.114385 --8.62506,0.839591,1.19013,1,1,0,8.647,0.0701769 --7.0755,1,1.19013,1,3,0,8.31774,0.158942 --7.54154,0.894689,1.19013,1,1,0,7.56448,0.117983 --6.76948,0.977771,1.19013,2,3,0,7.66794,0.224719 --7.14319,0.882068,1.19013,2,3,0,7.47189,0.151162 --8.16539,0.801406,1.19013,1,1,0,8.16544,0.0861661 --6.78871,1,1.19013,2,3,0,7.86142,0.286737 --7.54559,0.71934,1.19013,1,1,0,7.55034,0.424781 --7.53233,1,1.19013,1,1,0,7.89281,0.42323 --6.97995,0.96522,1.19013,1,3,0,7.67698,0.171926 --6.74933,0.981808,1.19013,2,3,0,6.96873,0.256433 --6.76388,0.994608,1.19013,2,3,0,6.77374,0.228189 --7.54638,0.830454,1.19013,1,3,0,7.60452,0.117666 --7.53433,1,1.19013,1,1,0,7.74442,0.118458 --7.17228,1,1.19013,1,1,0,7.50276,0.148089 --7.29225,0.971575,1.19013,1,1,0,7.38696,0.136751 --7.01531,1,1.19013,2,3,0,7.19826,0.347857 +# 0.567537 +-6.80017,0.96223506,0.76613686,2,3,0,7.2971456,0.21115047 +-7.037394,0.91182695,0.76613686,2,3,0,7.5712789,0.16378946 +-7.0172443,1,0.76613686,1,1,0,7.069534,0.16651798 +-7.2281083,0.97241511,0.76613686,1,1,0,7.2295626,0.14256998 +-7.1113314,1,0.76613686,1,1,0,7.2344563,0.15470507 +-6.7995191,0.99682591,0.76613686,2,7,0,7.0708974,0.29146943 +-6.7916924,1,0.76613686,2,7,0,6.797846,0.21432552 +-6.9157835,0.98410831,0.76613686,2,3,0,6.966609,0.18264223 +-6.9176538,0.94475061,0.76613686,1,3,0,7.5001509,0.3270426 +-6.7596308,0.98229716,0.76613686,1,3,0,7.0529634,0.23128328 +-7.5870917,0.90268453,0.76613686,2,3,0,7.5962044,0.11505572 +-7.2117035,1,0.76613686,1,1,0,7.5438251,0.14414422 +-7.5238569,0.96430021,0.76613686,1,1,0,7.5265495,0.11915473 +-7.1943495,1,0.76613686,1,1,0,7.4863999,0.14585163 +-8.5994185,0.89322736,0.76613686,2,3,0,8.7404473,0.070957842 +-8.5593766,1,0.76613686,1,1,0,8.7694095,0.072200655 +-8.3182191,1,0.76613686,1,1,0,8.6285956,0.080340182 +-8.9812271,0.95719136,0.76613686,2,3,0,9.5770648,0.06039453 +-9.2515113,0.97547809,0.76613686,2,3,0,10.110521,0.054096033 +-9.7009962,0.9788034,0.76613686,1,1,0,9.7751516,0.045292459 +-9.7684203,0.9971257,0.76613686,1,1,0,9.9898883,0.044123619 +-9.0537058,1,0.76613686,1,1,0,9.7515951,0.058620188 +-7.3022158,0.9701021,0.76613686,2,3,0,10.081354,0.13589083 +-6.8814023,0.92775613,0.76613686,1,3,0,8.2382469,0.3179362 +-6.7485777,0.99412935,0.76613686,1,3,0,6.9317195,0.24584748 +-6.7968866,0.93689253,0.76613686,2,3,0,7.3071796,0.29036343 +-7.091575,0.87942867,0.76613686,1,3,0,7.6340517,0.15700573 +-6.8133744,0.95582443,0.76613686,1,3,0,7.6019179,0.29689605 +-6.7487483,0.99619229,0.76613686,1,3,0,6.8444226,0.24525533 +-6.7581261,0.99604237,0.76613686,2,3,0,6.7813565,0.26804383 +-6.7489904,0.99802077,0.76613686,2,3,0,6.7765387,0.24452524 +-6.7993094,0.94101521,0.76613686,2,3,0,7.273942,0.29138232 +-6.7993094,0.7129261,0.76613686,1,3,0,8.6902128,0.29138232 +-6.7855231,0.98072003,0.76613686,1,3,0,6.9481568,0.21685189 +-7.2028627,0.88376936,0.76613686,2,3,0,7.770525,0.14500848 +-6.8188929,0.94795246,0.76613686,1,3,0,7.8380701,0.2989041 +-7.0896252,0.96564508,0.76613686,2,7,0,7.11808,0.15723741 +-7.1493674,0.99741576,0.76613686,2,3,0,7.1818469,0.15049735 +-6.8038878,0.99332557,0.76613686,3,7,0,7.150201,0.20984704 +-7.0280809,0.93384959,0.76613686,1,3,0,7.4148783,0.35029693 +-6.8589842,1,0.76613686,1,1,0,6.9920233,0.31171956 +-6.8310642,0.98693524,0.76613686,2,3,0,6.9962422,0.3030889 +-6.8310642,0.82180659,0.76613686,1,3,0,7.9396034,0.3030889 +-6.960294,0.91122289,0.76613686,1,3,0,7.4446874,0.17499374 +-6.7531032,0.99350506,0.76613686,1,3,0,7.0045971,0.23754196 +-8.9269927,0.78247636,0.76613686,2,7,0,8.9395186,0.061766438 +-6.9272419,0.92937043,0.76613686,1,3,0,9.6501915,0.18056735 +-6.987234,0.99133208,0.76613686,1,1,0,6.9996605,0.17082938 +-7.6472862,0.94052236,0.76613686,2,3,0,7.7939293,0.11137444 +-7.4299828,1,0.76613686,1,1,0,7.6536138,0.12574232 +-8.097968,0.94536967,0.76613686,2,3,0,8.4338547,0.088928705 +-8.3127483,0.98342931,0.76613686,1,1,0,8.3924594,0.080539066 +-8.1432389,1,0.76613686,1,1,0,8.3963459,0.087060015 +-8.0959112,1,0.76613686,1,1,0,8.2757215,0.089014982 +-7.6897305,1,0.76613686,1,1,0,8.0735491,0.10889615 +-6.9343827,0.89858028,0.76613686,1,3,0,9.2286525,0.33093871 +-6.7481205,1,0.76613686,2,3,0,6.910625,0.24824558 +-6.7481205,0.87286779,0.76613686,1,3,0,7.5880514,0.24824558 +-6.748065,1,0.76613686,2,3,0,6.7481103,0.24883802 +-6.9990876,0.94935836,0.76613686,1,3,0,7.1110036,0.34467734 +-6.9546371,1,0.76613686,2,7,0,6.9876598,0.17590853 +-8.1589845,0.91964619,0.76613686,2,7,0,8.1637098,0.48640158 +-6.7575785,1,0.76613686,2,3,0,8.0069099,0.23298977 +-6.8150053,0.97329441,0.76613686,2,3,0,7.0056199,0.29749751 +-6.856832,0.99120814,0.76613686,1,1,0,6.8618603,0.31109326 +-6.7544061,1,0.76613686,2,3,0,6.8374781,0.2360556 +-7.2758172,0.93812691,0.76613686,2,3,0,7.2864307,0.13819391 +-7.2416159,0.91647995,0.76613686,2,3,0,8.5308544,0.1413014 +-7.1803586,1,0.76613686,1,1,0,7.2769092,0.14726136 +-6.7482844,0.98383337,0.76613686,1,3,0,7.3786206,0.2471423 +-6.8270439,0.98251484,0.76613686,1,3,0,6.8711756,0.30174048 +-7.1860585,0.84667223,0.76613686,2,7,0,7.9540784,0.14668335 +-7.3132846,0.99489117,0.76613686,2,3,0,7.3398014,0.1349483 +-8.0847794,0.93796767,0.76613686,2,7,0,8.2635443,0.47977685 +-9.3897247,0.89420851,0.76613686,3,7,0,9.4932559,0.57678457 +-7.6396733,1,0.76613686,1,1,0,8.9656267,0.43545115 +-7.8940514,0.93908836,0.76613686,1,1,0,8.0445927,0.46184458 +-8.3087507,0.98039871,0.76613686,2,7,0,8.3161759,0.080684822 +-6.8459176,0.94780704,0.76613686,1,3,0,8.7842115,0.19758645 +-6.7874348,0.97997148,0.76613686,1,3,0,7.0459382,0.28613853 +-6.842813,0.98617215,0.76613686,2,3,0,6.9199448,0.3068639 +-6.8497203,0.95411274,0.76613686,1,3,0,7.204179,0.19663821 +-6.7587216,0.99840557,0.76613686,3,7,0,6.8514032,0.23201816 +-6.9564843,0.98226191,0.76613686,2,3,0,6.957065,0.33584721 +-6.799772,0.8079925,0.76613686,2,3,0,8.4944237,0.21129296 +-6.9633956,0.77792775,0.76613686,2,3,0,9.37642,0.33733244 +-6.8016366,0.95802402,0.76613686,1,3,0,7.2845724,0.21063043 +-6.8687945,0.96675983,0.76613686,2,7,0,7.1248833,0.31450554 +-6.9609665,0.90264632,0.76613686,1,3,0,7.5418701,0.17488598 +-7.3171333,0.96125659,0.76613686,2,3,0,7.4791785,0.13462367 +-7.1161578,1,0.76613686,1,1,0,7.2998933,0.15415552 +-6.9498572,1,0.76613686,2,3,0,7.094081,0.1766934 +-7.0693447,0.98330292,0.76613686,1,1,0,7.0745581,0.15969959 +-7.2750001,0.97394893,0.76613686,1,1,0,7.2793815,0.13826648 +-7.6084316,0.96328183,0.76613686,1,1,0,7.6120231,0.11372724 +-7.4830776,1,0.76613686,1,1,0,7.6514977,0.12193749 +-7.1914249,1,0.76613686,2,3,0,7.4519462,0.14614381 +-7.5414911,0.96470422,0.76613686,3,7,0,7.7598332,0.42430353 +-6.7759041,0.94947107,0.76613686,1,3,0,7.9799963,0.22128438 +-8.6188197,0.65496656,0.76613686,1,3,0,10.013181,0.070365832 # -# Elapsed Time: 0.010783 seconds (Warm-up) -# 0.026063 seconds (Sampling) -# 0.036846 seconds (Total) +# Elapsed Time: 0.001 seconds (Warm-up) +# 0 seconds (Sampling) +# 0.001 seconds (Total) # diff --git a/test/data/runset-bad/bad-draws-bern-1_config.json b/test/data/runset-bad/bad-draws-bern-1_config.json new file mode 100644 index 00000000..f832a226 --- /dev/null +++ b/test/data/runset-bad/bad-draws-bern-1_config.json @@ -0,0 +1,66 @@ + +{ + "stan_major_version" : "2", + "stan_minor_version" : "37", + "stan_patch_version" : "0", + "model_name" : "bernoulli_model", + "start_datetime" : "2026-07-20 16:58:36 UTC", + "method" : { + "value" : "sample", + "sample" : { + "num_samples" : 100, + "num_warmup" : 1000, + "save_warmup" : false, + "thin" : 1, + "adapt" : { + "engaged" : true, + "gamma" : 0.05, + "delta" : 0.8, + "kappa" : 0.75, + "t0" : 10, + "init_buffer" : 75, + "term_buffer" : 50, + "window" : 25, + "save_metric" : true + }, + "algorithm" : { + "value" : "hmc", + "hmc" : { + "engine" : { + "value" : "nuts", + "nuts" : { + "max_depth" : 10 + } + }, + "metric" : { + "value" : "diag_e" + }, + "metric_file" : "", + "stepsize" : 1, + "stepsize_jitter" : 0 + } + }, + "num_chains" : 1 + } + }, + "id" : 1, + "data" : { + "file" : "test\/data\/bernoulli.data.json" + }, + "init" : "2", + "random" : { + "seed" : 12345 + }, + "output" : { + "file" : "\/tmp\/tmpuisjazeu\/bernoullik799pfr2\/bernoulli-20260720125836_1.csv", + "diagnostic_file" : "", + "refresh" : 100, + "sig_figs" : 8, + "profile_file" : "profile.csv", + "save_cmdstan_config" : true + }, + "num_threads" : 1, + "mpi_enabled" : false, + "stanc_version" : "stanc3 v2.37.0", + "stancflags" : "--filename-in-msg=bernoulli.stan" +} diff --git a/test/data/runset-bad/bad-draws-bern-2.csv b/test/data/runset-bad/bad-draws-bern-2.csv index 171ea53d..9ff6e971 100644 --- a/test/data/runset-bad/bad-draws-bern-2.csv +++ b/test/data/runset-bad/bad-draws-bern-2.csv @@ -1,22 +1,24 @@ # stan_version_major = 2 -# stan_version_minor = 19 -# stan_version_patch = 1 +# stan_version_minor = 37 +# stan_version_patch = 0 # model = bernoulli_model +# start_datetime = 2026-07-20 16:58:36 UTC # method = sample (Default) # sample -# num_samples = 1000 (Default) +# num_samples = 100 # num_warmup = 1000 (Default) -# save_warmup = 0 (Default) +# save_warmup = false (Default) # thin = 1 (Default) # adapt -# engaged = 1 (Default) -# gamma = 0.050000000000000003 (Default) -# delta = 0.80000000000000004 (Default) +# engaged = true (Default) +# gamma = 0.05 (Default) +# delta = 0.8 (Default) # kappa = 0.75 (Default) # t0 = 10 (Default) # init_buffer = 75 (Default) # term_buffer = 50 (Default) # window = 25 (Default) +# save_metric = true # algorithm = hmc (Default) # hmc # engine = nuts (Default) @@ -26,1023 +28,130 @@ # metric_file = (Default) # stepsize = 1 (Default) # stepsize_jitter = 0 (Default) +# num_chains = 1 (Default) # id = 2 # data -# file = /Users/mitzi/github/stan-dev/cmdstanpy/test/files-data/bernoulli.data.R +# file = test/data/bernoulli.data.json # init = 2 (Default) # random -# seed = 73255 +# seed = 12345 # output -# file = /Users/mitzi/github/stan-dev/cmdstanpy/test/files-tmp/bernoulli.output-2.csv +# file = /tmp/tmpuisjazeu/bernoullik799pfr2/bernoulli-20260720125836_2.csv # diagnostic_file = (Default) # refresh = 100 (Default) +# sig_figs = 8 (Default) +# profile_file = profile.csv (Default) +# save_cmdstan_config = true +# num_threads = 1 (Default) +# stanc_version = stanc3 v2.37.0 +# stancflags = --filename-in-msg=bernoulli.stan lp__,accept_stat__,stepsize__,treedepth__,n_leapfrog__,divergent__,energy__,theta # Adaptation terminated -# Step size = 0.966602 +# Step size = 1.07501 # Diagonal elements of inverse mass matrix: -# 0.471155 --7.16838,0.776862,0.966602,2,3,0,8.283,0.148493 --7.23,0.989929,0.966602,1,1,0,7.29279,0.142391 --6.86843,0.960512,0.966602,1,3,0,7.68108,0.314405 --6.97212,0.970411,0.966602,1,1,0,6.98927,0.339176 --6.88754,0.936641,0.966602,1,3,0,7.34089,0.188142 --6.86762,1,0.966602,1,1,0,6.90436,0.192426 --6.76178,0.990448,0.966602,1,3,0,6.93414,0.271104 --6.82136,0.946111,0.966602,2,3,0,7.06709,0.204281 --6.85634,0.992632,0.966602,1,1,0,6.86499,0.195035 --8.67934,0.80905,0.966602,2,3,0,9.15418,0.528476 --8.67934,0.325399,0.966602,1,1,0,11.3643,0.528476 --7.72867,1,0.966602,2,3,0,8.54908,0.445057 --7.72867,0.781698,0.966602,1,3,0,8.88597,0.445057 --7.16147,1,0.966602,1,1,0,7.60253,0.373264 --6.89922,1,0.966602,2,3,0,7.09529,0.322538 --6.74802,0.999593,0.966602,1,3,0,6.892,0.250168 --6.76452,0.995845,0.966602,1,3,0,6.76925,0.227766 --6.82758,0.986109,0.966602,2,3,0,6.87864,0.20248 --6.75536,0.999534,0.966602,1,3,0,6.81565,0.235067 --8.17751,0.797612,0.966602,2,3,0,8.2364,0.085683 --6.98835,0.971202,0.966602,1,3,0,8.11542,0.170663 --6.92643,1,0.966602,1,1,0,6.99879,0.180712 --7.11427,0.965556,0.966602,1,1,0,7.11884,0.15437 --6.75428,1,0.966602,1,3,0,7.11498,0.23619 --6.76049,0.996595,0.966602,1,3,0,6.77864,0.270073 --6.7534,1,0.966602,1,1,0,6.759,0.263107 --6.87457,0.963489,0.966602,1,3,0,6.95031,0.190888 --6.95617,0.983927,0.966602,1,1,0,6.96632,0.17566 --7.42085,0.961195,0.966602,2,7,0,7.42089,0.409667 --7.3962,1,0.966602,1,1,0,7.60273,0.406528 --7.16354,1,0.966602,1,1,0,7.40907,0.37359 --6.74802,0.984735,0.966602,2,3,0,7.26618,0.249742 --6.8285,0.979901,0.966602,1,3,0,6.85281,0.202219 --6.90618,0.963286,0.966602,1,3,0,7.12818,0.324268 --6.76761,1,0.966602,1,3,0,6.87022,0.275265 --6.79453,0.974479,0.966602,2,3,0,6.91856,0.21323 --6.79453,0.751166,0.966602,1,3,0,8.23647,0.21323 --6.819,0.994661,0.966602,1,1,0,6.82441,0.204987 --6.79307,0.986394,0.966602,1,3,0,6.93342,0.28871 --6.7678,1,0.966602,1,1,0,6.78784,0.275391 --6.773,0.992255,0.966602,2,3,0,6.82541,0.222778 --6.81438,0.897833,0.966602,2,3,0,7.47624,0.206406 --6.7806,0.988186,0.966602,2,3,0,6.92443,0.282774 --7.09864,0.892092,0.966602,1,3,0,7.39224,0.156173 --8.53789,0.83314,0.966602,1,3,0,8.7093,0.0728794 --8.63095,0.991878,0.966602,1,1,0,8.84292,0.069999 --6.92505,0.97739,0.966602,1,3,0,8.72597,0.180958 --6.87592,0.966692,0.966602,1,3,0,7.23755,0.316464 --7.21337,0.96455,0.966602,2,3,0,7.21758,0.381248 --6.88578,0.926439,0.966602,1,3,0,7.63665,0.188507 --6.81612,1,0.966602,1,1,0,6.87428,0.205864 --6.79973,0.899247,0.966602,2,3,0,7.58608,0.211309 --8.90122,0.621446,0.966602,2,3,0,9.81459,0.062432 --9.19153,0.978897,0.966602,1,1,0,9.36196,0.055421 --8.94641,0.97569,0.966602,2,3,0,10.3785,0.0612708 --7.41135,0.939083,0.966602,1,3,0,8.85445,0.12713 --6.88031,0.987735,0.966602,1,3,0,7.33643,0.189654 --6.75719,0.916624,0.966602,2,3,0,7.53202,0.233336 --6.85208,0.972649,0.966602,1,3,0,6.91234,0.309689 --7.06999,0.892351,0.966602,1,3,0,7.50768,0.15962 --6.89058,0.950019,0.966602,1,3,0,7.48441,0.32034 --7.22539,0.90518,0.966602,1,1,0,7.23192,0.383037 --7.97745,0.926642,0.966602,2,3,0,8.03482,0.469857 --7.67296,1,0.966602,1,1,0,8.1146,0.439096 --7.01257,1,0.966602,1,1,0,7.48224,0.347325 --7.54432,0.945881,0.966602,2,3,0,7.56478,0.424633 --6.75104,0.974642,0.966602,2,3,0,7.73227,0.240367 --7.52784,0.831347,0.966602,1,3,0,7.6943,0.422703 --8.67838,0.685995,0.966602,1,1,0,8.78747,0.528404 --8.67838,0.655838,0.966602,1,1,0,9.99001,0.528404 --9.89943,0.673264,0.966602,1,1,0,10.3392,0.60679 --7.01442,1,0.966602,2,7,0,8.99673,0.347684 --6.79009,1,0.966602,1,3,0,6.95209,0.287369 --6.81467,0.993312,0.966602,1,1,0,6.82137,0.297376 --7.2133,0.940193,0.966602,2,7,0,7.21331,0.14399 --6.95265,1,0.966602,2,3,0,7.16787,0.176234 --6.95265,0.699349,0.966602,1,3,0,9.34015,0.176234 --6.873,1,0.966602,1,1,0,6.94701,0.191231 --6.78722,0.977302,0.966602,2,3,0,7.07733,0.286037 --7.17086,0.921726,0.966602,1,3,0,7.17696,0.37474 --6.85033,0.957023,0.966602,2,3,0,7.49797,0.196488 --6.7646,0.996092,0.966602,2,3,0,6.88571,0.22771 --6.75046,0.980594,0.966602,2,3,0,6.8923,0.258801 --7.14953,0.939312,0.966602,2,3,0,7.17339,0.150479 --6.75271,1,0.966602,1,3,0,7.16016,0.238025 --9.93243,0.578756,0.966602,2,3,0,9.9348,0.0414242 --7.10184,0.954381,0.966602,1,3,0,10.3866,0.1558 --7.22676,0.960903,0.966602,2,3,0,7.64747,0.142698 --7.53089,0.984951,0.966602,2,3,0,7.55158,0.118686 --6.74879,1,0.966602,2,3,0,7.40762,0.245137 --8.05351,0.72373,0.966602,2,3,0,8.86184,0.47693 --7.02511,1,0.966602,1,1,0,7.73629,0.349734 --6.76251,1,0.966602,1,3,0,6.96593,0.271666 --7.05936,0.910127,0.966602,2,3,0,7.34447,0.356068 --6.75109,0.979783,0.966602,2,3,0,7.18605,0.259883 --6.74808,0.999916,0.966602,1,3,0,6.75162,0.248619 --6.76959,0.996451,0.966602,2,3,0,6.77484,0.224659 --6.75154,0.99812,0.966602,1,3,0,6.78354,0.260589 --6.76281,0.980011,0.966602,2,3,0,6.86788,0.228921 --6.76281,0.840618,0.966602,1,3,0,7.57028,0.228921 --7.30975,0.872584,0.966602,1,3,0,7.49621,0.395054 --8.05604,0.46848,0.966602,1,3,0,10.471,0.0907117 --7.76719,1,0.966602,1,1,0,8.10072,0.104601 --6.7523,0.98098,0.966602,1,3,0,7.92647,0.238558 --7.60866,0.816353,0.966602,1,3,0,7.79606,0.431996 --9.40309,0.80472,0.966602,2,3,0,9.49126,0.577615 --9.75301,0.894095,0.966602,1,1,0,10.5435,0.598505 --7.32014,1,0.966602,1,1,0,8.97292,0.396475 --7.37771,0.981914,0.966602,1,1,0,7.5376,0.404138 --6.7932,0.888076,0.966602,2,3,0,8.04398,0.288767 --7.32758,0.823807,0.966602,1,3,0,7.82201,0.13375 --7.86402,0.92768,0.966602,1,1,0,7.86864,0.0996 --6.75671,1,0.966602,2,3,0,7.63109,0.266711 --8.20199,0.719741,0.966602,1,3,0,8.33151,0.49016 --9.02927,0.761574,0.966602,1,1,0,9.3699,0.553361 --7.13965,1,0.966602,1,1,0,8.42505,0.36977 --6.85375,1,0.966602,1,1,0,7.05892,0.310187 --11.8086,0.415408,0.966602,2,7,0,12.0386,0.696192 --7.66044,1,0.966602,1,1,0,10.4796,0.437732 --7.002,1,0.966602,2,3,0,7.50323,0.168668 --6.7592,0.998379,0.966602,2,3,0,7.01126,0.23163 --6.76184,0.99938,0.966602,1,1,0,6.76389,0.229612 --6.86303,0.981478,0.966602,1,3,0,6.86825,0.193469 --6.76944,0.967651,0.966602,2,3,0,7.12269,0.276447 --6.76944,0.84304,0.966602,1,3,0,7.35835,0.276447 --6.78165,0.989154,0.966602,2,3,0,6.84236,0.218554 --6.74924,0.965759,0.966602,2,3,0,7.01312,0.256214 --6.7834,0.990041,0.966602,1,3,0,6.80195,0.217774 --7.91809,0.77999,0.966602,1,3,0,8.25979,0.0969685 --7.49076,1,0.966602,1,1,0,7.88859,0.121404 --8.05252,0.930386,0.966602,1,1,0,8.06308,0.0908638 --8.17904,0.986635,0.966602,1,1,0,8.33369,0.0856221 --6.82106,0.993825,0.966602,1,3,0,8.2704,0.204368 --6.76303,0.952764,0.966602,2,3,0,7.21797,0.272059 --6.98035,0.954264,0.966602,1,3,0,6.98852,0.340887 --6.79686,1,0.966602,2,3,0,6.92887,0.290352 --7.42299,0.796379,0.966602,1,3,0,8.00192,0.12626 --6.7501,0.990537,0.966602,1,3,0,7.50236,0.242 --6.97508,0.965398,0.966602,2,3,0,7.01647,0.172671 --6.83294,0.682351,0.966602,2,3,0,10.6384,0.20099 --6.91966,0.960398,0.966602,1,3,0,7.15578,0.327519 --6.85632,1,0.966602,1,1,0,6.92026,0.310945 --7.01276,0.865294,0.966602,2,3,0,7.62267,0.347363 --7.01276,0.759653,0.966602,1,1,0,7.62499,0.347363 --6.9311,0.85064,0.966602,2,3,0,7.83803,0.330187 --6.91004,1,0.966602,2,3,0,6.96563,0.325211 --6.89061,1,0.966602,1,1,0,6.93978,0.320348 --6.76907,0.986586,0.966602,1,3,0,6.96819,0.224956 --7.16888,0.901168,0.966602,1,3,0,7.34619,0.374429 --7.57361,0.879941,0.966602,1,1,0,7.64283,0.428019 --6.7718,1,0.966602,1,3,0,7.39153,0.277896 --6.81791,0.977781,0.966602,1,3,0,6.90725,0.205315 --6.75095,0.99669,0.966602,1,3,0,6.84008,0.259653 --6.87083,0.971957,0.966602,2,3,0,6.94638,0.31507 --6.81933,1,0.966602,1,1,0,6.86699,0.299061 --6.76788,1,0.966602,2,3,0,6.80575,0.275442 --6.76293,1,0.966602,2,3,0,6.7694,0.271988 --6.93663,0.963886,0.966602,1,3,0,6.94185,0.331449 --6.93663,0.820543,0.966602,1,1,0,7.38976,0.331449 --7.74164,0.781098,0.966602,1,1,0,7.74282,0.446421 --7.39097,0.669674,0.966602,1,3,0,9.54492,0.128682 --6.88678,0.987924,0.966602,1,3,0,7.31573,0.188299 --7.31746,0.966906,0.966602,2,3,0,7.32001,0.39611 --6.74803,1,0.966602,1,3,0,7.27083,0.249432 --6.74803,0.760594,0.966602,1,3,0,7.96215,0.249432 --6.83801,0.985963,0.966602,2,3,0,6.85301,0.199627 --7.37248,0.750355,0.966602,2,3,0,8.77271,0.130121 --7.37248,0.925229,0.966602,1,1,0,7.86964,0.130121 --7.50736,0.980639,0.966602,1,1,0,7.57985,0.120267 --6.89031,0.918364,0.966602,1,3,0,8.1468,0.320271 --6.89031,0.592388,0.966602,2,7,0,8.91909,0.320271 --6.82248,1,0.966602,1,1,0,6.88074,0.300171 --6.97533,0.919379,0.966602,1,3,0,7.27805,0.172632 --6.91999,1,0.966602,1,1,0,6.98723,0.181871 --7.488,0.921115,0.966602,1,3,0,7.50856,0.121595 --8.13039,0.973764,0.966602,2,3,0,8.13488,0.0875847 --6.84999,0.98767,0.966602,1,3,0,8.16685,0.196573 --7.649,0.897931,0.966602,2,3,0,7.83874,0.111273 --7.0314,0.91281,0.966602,1,3,0,8.65681,0.350924 --7.87411,0.902985,0.966602,2,3,0,7.88551,0.459886 --7.87411,0.636263,0.966602,1,1,0,8.98359,0.459886 --7.69058,1,0.966602,1,1,0,8.0737,0.440999 --7.78119,0.99029,0.966602,2,3,0,8.0551,0.450529 --7.16162,1,0.966602,2,3,0,7.6345,0.373286 --6.74973,0.997775,0.966602,1,3,0,7.15914,0.242747 --6.85713,0.975762,0.966602,1,3,0,6.87797,0.194847 --8.92135,0.642167,0.966602,1,3,0,9.68774,0.545931 --8.75524,1,0.966602,2,7,0,8.76703,0.0663803 --9.0259,0.97911,0.966602,1,1,0,9.19272,0.059293 --6.77832,1,0.966602,2,3,0,8.64677,0.220101 --6.81568,0.98262,0.966602,1,3,0,6.9053,0.297743 --6.83217,0.958939,0.966602,2,3,0,7.06431,0.303454 --6.81469,1,0.966602,1,1,0,6.84164,0.297381 --7.05876,0.894226,0.966602,2,3,0,7.40966,0.161024 --7.99587,0.891062,0.966602,2,3,0,8.33162,0.0933644 --8.03957,0.995171,0.966602,1,1,0,8.21744,0.0914267 --7.99161,1,0.966602,1,1,0,8.21009,0.0935565 --6.8858,0.911785,0.966602,2,3,0,9.32492,0.188501 --6.88008,1,0.966602,1,1,0,6.91179,0.189702 --7.02155,0.97277,0.966602,1,1,0,7.02553,0.165924 --6.86279,1,0.966602,1,1,0,6.99155,0.193523 --6.83079,1,0.966602,1,1,0,6.86707,0.201581 --6.7665,0.841482,0.966602,2,3,0,8.27634,0.226497 --6.75778,0.941979,0.966602,2,3,0,7.15576,0.232814 --6.83746,0.985037,0.966602,1,3,0,6.84191,0.199772 --6.75146,0.953498,0.966602,2,3,0,7.17961,0.260462 --7.19102,0.881424,0.966602,1,3,0,7.41805,0.146184 --7.43736,0.98741,0.966602,2,3,0,7.46305,0.125201 --7.8797,0.942587,0.966602,1,1,0,7.8998,0.0988256 --7.40153,1,0.966602,2,3,0,7.82836,0.127873 --7.07286,1,0.966602,1,1,0,7.35212,0.159265 --6.84307,0.989273,0.966602,2,3,0,7.20315,0.198311 --6.84004,1,0.966602,1,1,0,6.8621,0.199094 --6.74997,0.913757,0.966602,2,3,0,7.59527,0.25785 --6.97174,0.94983,0.966602,1,3,0,6.99886,0.339097 --6.80397,1,0.966602,1,1,0,6.92505,0.29328 --7.09173,0.861541,0.966602,2,3,0,7.57079,0.156987 --6.93119,1,0.966602,1,1,0,7.0694,0.17987 --7.2357,0.945761,0.966602,1,1,0,7.23571,0.141854 --7.26388,0.998505,0.966602,2,3,0,7.34731,0.139262 --6.95869,1,0.966602,1,1,0,7.2096,0.175251 --7.66157,0.836365,0.966602,1,3,0,8.39362,0.437856 --7.85694,0.979401,0.966602,2,3,0,8.10534,0.458187 --6.80061,0.969336,0.966602,1,3,0,8.04875,0.210993 --7.11391,0.948591,0.966602,1,3,0,7.1328,0.154411 --6.78443,0.995664,0.966602,2,3,0,7.15367,0.217323 --6.78443,0.645492,0.966602,2,3,0,9.07151,0.217323 --6.78933,0.990126,0.966602,2,3,0,6.8744,0.287023 --7.10908,0.93563,0.966602,1,3,0,7.11214,0.364719 --7.05016,0.854303,0.966602,1,3,0,7.88139,0.162123 --6.99436,0.853159,0.966602,2,3,0,8.54572,0.169777 --11.5666,0.548777,0.966602,2,3,0,11.5726,0.022669 --6.80892,0.909698,0.966602,2,7,0,10.6567,0.295218 --12.4395,0.379184,0.966602,2,7,0,12.6714,0.0166361 --8.61268,0.879982,0.966602,1,3,0,13.0437,0.0705526 --6.74811,0.919573,0.966602,1,3,0,9.21929,0.248298 --7.06462,0.952014,0.966602,2,3,0,7.10082,0.160288 --7.15761,0.984013,0.966602,1,1,0,7.19591,0.149621 --7.43041,0.793911,0.966602,2,3,0,9.35976,0.125711 --6.77168,0.998725,0.966602,1,3,0,7.43465,0.223487 --6.85284,0.987174,0.966602,1,3,0,6.85348,0.195876 --6.7763,0.994409,0.966602,2,3,0,6.90797,0.221089 --7.18158,0.898749,0.966602,1,3,0,7.38254,0.376408 --8.28982,0.70074,0.966602,1,1,0,8.31842,0.49766 --7.13456,1,0.966602,2,3,0,8.03363,0.152103 --7.35292,0.965213,0.966602,1,1,0,7.37664,0.131678 --7.2958,1,0.966602,2,3,0,7.42787,0.136443 --6.83715,0.991284,0.966602,1,3,0,7.23306,0.199855 --6.94202,0.992935,0.966602,2,3,0,6.94457,0.178005 --6.79343,0.937041,0.966602,2,3,0,7.57797,0.288869 --7.00294,0.969377,0.966602,2,7,0,7.00296,0.168534 --7.31665,0.946991,0.966602,1,1,0,7.3185,0.134664 --7.32927,0.998066,0.966602,1,1,0,7.43037,0.13361 --7.09577,1,0.966602,1,1,0,7.30766,0.15651 --7.95745,0.938303,0.966602,2,3,0,7.95831,0.46796 --7.14493,1,0.966602,1,1,0,7.73342,0.370622 --6.90003,1,0.966602,1,1,0,7.08522,0.322742 --6.90597,0.998285,0.966602,1,1,0,6.94667,0.324216 --6.76601,1,0.966602,1,3,0,6.87021,0.27419 --6.78224,0.983777,0.966602,2,3,0,6.86614,0.218288 --6.78191,1,0.966602,1,1,0,6.78997,0.218438 --6.92257,0.955975,0.966602,1,3,0,7.06324,0.328205 --7.59962,0.813606,0.966602,1,1,0,7.6014,0.430978 --6.98578,1,0.966602,1,1,0,7.42173,0.341999 --6.76373,1,0.966602,2,3,0,6.95717,0.228291 --6.76373,0.901692,0.966602,1,3,0,7.23718,0.228291 --7.77962,0.787896,0.966602,1,3,0,8.12378,0.103936 --6.87174,0.941173,0.966602,1,3,0,8.52467,0.315322 --7.47676,0.73847,0.966602,1,3,0,8.31225,0.122379 --6.83274,0.989783,0.966602,1,3,0,7.42092,0.201045 --7.91782,0.888504,0.966602,2,3,0,8.11333,0.464156 --6.80066,1,0.966602,2,3,0,7.9555,0.210975 --6.8121,0.997503,0.966602,1,1,0,6.8213,0.207125 --6.79259,0.988455,0.966602,1,3,0,6.92232,0.288494 --6.8315,0.970134,0.966602,2,7,0,6.96791,0.201384 --6.81585,0.990277,0.966602,2,3,0,6.94354,0.205949 --6.81585,0.953771,0.966602,1,3,0,7.06878,0.205949 --6.7813,0.977389,0.966602,2,3,0,7.0192,0.283133 --6.83118,0.995501,0.966602,2,3,0,6.83336,0.303129 --7.06197,0.888348,0.966602,1,3,0,7.45082,0.16062 --7.18286,0.907624,0.966602,1,3,0,7.93777,0.376607 --7.18286,0.692063,0.966602,1,1,0,7.98854,0.376607 --6.99335,0.769603,0.966602,2,3,0,8.47222,0.34353 --6.82613,1,0.966602,1,1,0,6.94888,0.301429 --6.85724,0.945203,0.966602,2,3,0,7.1501,0.311214 --6.89681,0.996256,0.966602,2,3,0,6.91921,0.321931 --7.54145,0.823104,0.966602,1,1,0,7.54193,0.424298 --8.0319,0.852149,0.966602,1,1,0,8.20403,0.474941 --7.51948,1,0.966602,1,1,0,8.02777,0.421716 --6.7945,1,0.966602,2,3,0,7.48299,0.21324 --6.9101,0.988982,0.966602,2,7,0,6.91011,0.325226 --7.69829,0.700278,0.966602,1,3,0,8.84155,0.108408 --7.30686,1,0.966602,1,1,0,7.65839,0.135494 --6.78538,0.957846,0.966602,1,3,0,7.5894,0.285157 --6.83995,0.938766,0.966602,2,3,0,7.16033,0.199116 --7.03205,0.935223,0.966602,1,3,0,7.32805,0.351045 --7.25471,0.934001,0.966602,1,1,0,7.3033,0.387317 --6.86173,1,0.966602,1,1,0,7.13994,0.312511 --7.34698,0.805772,0.966602,1,3,0,8.04219,0.132158 --6.79032,0.994843,0.966602,1,3,0,7.31395,0.21487 --6.88738,0.863466,0.966602,2,3,0,7.76869,0.188176 --6.75022,0.999885,0.966602,1,3,0,6.88201,0.241765 --9.72697,0.401581,0.966602,1,3,0,11.871,0.0448379 --7.29716,0.941118,0.966602,1,3,0,9.89698,0.136326 --6.88983,0.931063,0.966602,2,7,0,7.82581,0.320147 --6.88983,0.877081,0.966602,1,1,0,7.20044,0.320147 --7.02885,0.960054,0.966602,1,1,0,7.04783,0.350442 --7.14568,0.965087,0.966602,1,1,0,7.20621,0.370743 --7.06653,1,0.966602,1,1,0,7.19891,0.357353 --7.04411,1,0.966602,1,1,0,7.14,0.35329 --6.77678,1,0.966602,1,3,0,6.97463,0.280745 --6.80475,0.997495,0.966602,2,3,0,6.80786,0.29359 --6.76175,1,0.966602,1,1,0,6.79335,0.271087 --7.1171,0.92398,0.966602,1,3,0,7.13732,0.366063 --6.75907,0.989229,0.966602,1,3,0,7.16954,0.231734 --6.82132,0.993917,0.966602,2,3,0,6.82278,0.299764 --6.9912,0.952714,0.966602,1,1,0,6.99371,0.343097 --6.85092,1,0.966602,1,1,0,6.96037,0.309344 --6.85092,0.902285,0.966602,1,3,0,7.31725,0.309344 --6.80042,0.978125,0.966602,1,3,0,6.9937,0.21106 --6.74868,0.999941,0.966602,1,3,0,6.79764,0.245478 --6.88136,0.880797,0.966602,2,3,0,7.47742,0.189431 --6.81825,0.748207,0.966602,2,3,0,9.48148,0.205214 --8.32897,0.71078,0.966602,1,3,0,8.87755,0.500932 --10.6743,0.469188,0.966602,1,1,0,10.901,0.646831 --8.87494,1,0.966602,1,1,0,10.5298,0.542672 --7.37913,1,0.966602,1,1,0,8.43946,0.404323 --6.80287,0.961169,0.966602,1,3,0,7.58744,0.2102 --7.05012,0.813974,0.966602,2,3,0,8.16246,0.162128 --6.74852,1,0.966602,2,3,0,7.00443,0.253977 --6.76533,0.995191,0.966602,1,3,0,6.7738,0.227238 --6.98063,0.834446,0.966602,2,3,0,7.87226,0.171823 --8.06705,0.926923,0.966602,2,3,0,8.1162,0.478167 --7.44386,1,0.966602,1,1,0,7.99309,0.412548 --8.25137,0.922884,0.966602,2,3,0,8.36369,0.494404 --11.2946,0.376957,0.966602,1,1,0,11.4495,0.675004 --11.0072,1,0.966602,2,7,0,11.0861,0.0277459 --7.98943,0.900816,0.966602,1,3,0,11.2707,0.0936552 --7.75649,1,0.966602,1,1,0,8.05347,0.105178 --7.18981,0.871084,0.966602,1,3,0,9.12215,0.377677 --8.77573,0.813744,0.966602,2,3,0,8.79007,0.535567 --8.42715,1,0.966602,1,1,0,9.13719,0.508954 --6.7632,1,0.966602,1,3,0,8.38616,0.228656 --6.75271,0.923874,0.966602,2,3,0,7.32627,0.238025 --6.95038,0.971976,0.966602,2,3,0,6.99053,0.334516 --7.72508,0.635255,0.966602,1,3,0,8.99408,0.106901 --7.04491,0.977329,0.966602,1,3,0,7.62652,0.162802 --7.09963,0.990355,0.966602,1,1,0,7.14407,0.156058 --6.82157,0.99484,0.966602,1,3,0,7.05019,0.204219 --6.81758,0.982364,0.966602,1,3,0,6.97938,0.298432 --6.80468,0.970679,0.966602,2,3,0,7.00164,0.293564 --8.39598,0.548499,0.966602,1,3,0,9.87751,0.0775852 --7.39385,0.862636,0.966602,1,3,0,10.6126,0.406226 --6.9576,1,0.966602,1,1,0,7.27493,0.336088 --7.29037,0.903948,0.966602,1,1,0,7.31035,0.392373 --7.53555,0.924861,0.966602,1,1,0,7.65862,0.423609 --8.29216,0.780801,0.966602,1,1,0,8.4355,0.497857 --7.01105,1,0.966602,1,1,0,7.89029,0.347031 --6.81296,1,0.966602,1,1,0,6.95546,0.296741 --6.99657,0.981386,0.966602,2,3,0,6.99763,0.344176 --6.78259,1,0.966602,2,3,0,6.95318,0.218132 --6.7504,0.99987,0.966602,1,3,0,6.77748,0.24145 --6.75161,0.999708,0.966602,1,1,0,6.75194,0.239517 --6.87628,0.878255,0.966602,2,3,0,7.51556,0.190516 --6.84281,1,0.966602,2,3,0,6.88234,0.198376 --7.22507,0.944234,0.966602,1,3,0,7.23939,0.142859 --8.76836,0.826964,0.966602,1,3,0,8.92547,0.0660126 --8.23425,1,0.966602,1,1,0,8.78029,0.08347 --6.76288,1,0.966602,2,3,0,8.00099,0.228873 --6.86146,0.982253,0.966602,1,3,0,6.86586,0.193832 --7.48007,0.850669,0.966602,1,3,0,7.95863,0.416994 --7.12874,1,0.966602,2,3,0,7.43277,0.367989 --6.75019,1,0.966602,1,3,0,7.07642,0.258284 --7.79884,0.735006,0.966602,1,3,0,8.39057,0.102923 --7.74368,1,0.966602,1,1,0,7.9367,0.105875 --6.96911,0.921014,0.966602,1,3,0,8.6873,0.338544 --6.75249,0.994676,0.966602,1,3,0,6.99419,0.23831 --6.88026,0.771993,0.966602,2,3,0,8.41886,0.189665 --6.75065,0.901145,0.966602,2,3,0,7.81887,0.259143 --6.76476,0.995871,0.966602,2,3,0,6.77992,0.273322 --6.96773,0.934477,0.966602,2,3,0,7.18474,0.338252 --6.83427,1,0.966602,1,1,0,6.9362,0.304143 --7.19473,0.900443,0.966602,1,1,0,7.1948,0.378429 --6.86952,1,0.966602,2,3,0,7.11547,0.192 --6.76041,1,0.966602,2,3,0,6.84403,0.270013 --6.83637,0.897814,0.966602,2,3,0,7.3942,0.200063 --6.75294,0.999592,0.966602,1,3,0,6.82574,0.237737 --6.8802,0.966148,0.966602,1,3,0,6.93607,0.317615 --6.8802,0.363223,0.966602,1,3,0,10.8333,0.317615 --6.74934,0.997899,0.966602,1,3,0,6.88954,0.243618 --7.42957,0.87282,0.966602,2,3,0,7.75247,0.410765 --7.42709,1,0.966602,2,3,0,7.63233,0.410453 --7.26731,1,0.966602,1,1,0,7.50387,0.389122 --7.09355,1,0.966602,1,1,0,7.28577,0.362079 --7.57233,0.651494,0.966602,1,3,0,8.97343,0.11599 --7.65306,0.989322,0.966602,1,1,0,7.76775,0.111032 --7.78358,0.983592,0.966602,1,1,0,7.8928,0.103727 --7.44397,1,0.966602,2,3,0,7.77383,0.124719 --7.16424,1,0.966602,1,1,0,7.4177,0.148924 --6.77019,0.972207,0.966602,1,3,0,7.34623,0.276912 --6.81953,0.986809,0.966602,1,1,0,6.82005,0.299133 --7.12236,0.916588,0.966602,1,1,0,7.12237,0.366937 --8.39561,0.84999,0.966602,2,3,0,8.40843,0.506405 --7.54552,1,0.966602,1,1,0,8.2552,0.424774 --7.54552,0.81546,0.966602,1,1,0,8.12493,0.424774 --7.06592,1,0.966602,2,3,0,7.43158,0.357243 --6.75369,1,0.966602,1,3,0,7.01133,0.263458 --6.74816,0.999998,0.966602,1,3,0,6.75294,0.252118 --6.792,0.903305,0.966602,2,3,0,7.38182,0.214205 --6.77354,0.992007,0.966602,1,3,0,6.85853,0.278919 --6.92175,0.945504,0.966602,1,3,0,7.08168,0.181552 --6.76073,0.988315,0.966602,1,3,0,7.00011,0.270273 --7.55179,0.87629,0.966602,2,3,0,7.56802,0.117313 --7.47762,0.869257,0.966602,2,3,0,9.22826,0.416696 --7.04135,1,0.966602,1,1,0,7.37497,0.35278 --6.75371,1,0.966602,1,3,0,6.99062,0.263487 --6.94497,0.776545,0.966602,2,3,0,8.22998,0.177507 --6.81632,1,0.966602,1,1,0,6.91831,0.205802 --6.81933,0.999784,0.966602,2,3,0,6.83398,0.204885 --6.76524,0.991956,0.966602,1,3,0,6.87968,0.273661 --6.76566,0.99989,0.966602,1,1,0,6.77,0.273952 --6.76566,0.893739,0.966602,1,3,0,7.15739,0.273952 --6.74806,0.999847,0.966602,1,3,0,6.76639,0.248858 --6.75016,0.976875,0.966602,2,3,0,6.89469,0.24189 --6.74816,0.985421,0.966602,2,3,0,6.84433,0.252052 --6.75346,0.998812,0.966602,1,3,0,6.75408,0.26318 --7.17851,0.574768,0.966602,2,3,0,9.76611,0.14745 --9.16913,0.628317,0.966602,2,3,0,11.1486,0.0559261 --8.98926,1,0.966602,2,3,0,9.37057,0.0601945 --9.77737,0.948876,0.966602,1,1,0,9.82891,0.0439711 --6.89948,0.961941,0.966602,2,7,0,9.14119,0.322603 --6.91677,0.998335,0.966602,2,3,0,6.95508,0.326832 --6.96932,0.861132,0.966602,2,3,0,7.69352,0.338588 --6.82079,1,0.966602,1,1,0,6.93041,0.299576 --7.61466,0.719485,0.966602,2,7,0,8.42906,0.113344 --6.96798,0.899489,0.966602,1,3,0,8.47779,0.338306 --7.19044,0.978323,0.966602,2,3,0,7.2216,0.377773 --6.74826,0.986246,0.966602,2,3,0,7.28668,0.247298 --7.81219,0.84185,0.966602,2,3,0,7.85829,0.102229 --6.74946,1,0.966602,2,3,0,7.60532,0.25675 --7.20754,0.898437,0.966602,1,3,0,7.26795,0.380372 --6.79338,1,0.966602,2,3,0,7.14622,0.213668 --8.49871,0.674,0.966602,1,3,0,9.15015,0.0741394 --7.98529,1,0.966602,1,1,0,8.4946,0.0938428 --7.31792,0.87829,0.966602,2,3,0,10.0222,0.134558 --7.83312,0.929954,0.966602,1,1,0,7.83867,0.101154 --7.34943,1,0.966602,1,1,0,7.77554,0.131959 --7.22303,0.97392,0.966602,2,3,0,7.83894,0.143054 --6.75277,0.936209,0.966602,2,3,0,7.85855,0.262317 --6.99042,0.94742,0.966602,1,3,0,7.01213,0.34294 --7.53852,0.844428,0.966602,1,1,0,7.55375,0.423956 --10.204,0.418763,0.966602,1,1,0,10.2392,0.623253 --10.8757,0.938364,0.966602,2,3,0,11.8573,0.65632 --7.61156,1,0.966602,1,1,0,9.84058,0.432322 --6.9179,1,0.966602,1,1,0,7.40161,0.327101 --6.9179,0.959344,0.966602,1,1,0,7.04271,0.327101 --7.26087,0.797046,0.966602,1,3,0,7.99888,0.139534 --7.53312,0.960027,0.966602,1,1,0,7.56221,0.118538 --6.79234,0.941367,0.966602,1,3,0,7.93206,0.288383 --6.98913,0.89176,0.966602,2,3,0,7.3933,0.170547 --6.91331,1,0.966602,2,3,0,6.99186,0.1831 --6.98505,0.945507,0.966602,1,3,0,7.39099,0.341851 --7.11435,0.839486,0.966602,1,3,0,7.82886,0.15436 --7.04473,1,0.966602,2,3,0,7.14271,0.162825 --6.8375,0.97357,0.966602,1,3,0,7.34565,0.305185 --7.20334,0.898846,0.966602,1,1,0,7.20347,0.379738 --7.42292,0.933146,0.966602,1,1,0,7.52245,0.409929 --7.64074,0.932253,0.966602,1,1,0,7.80914,0.435569 --8.09585,0.861555,0.966602,1,1,0,8.30325,0.480777 --7.48181,1,0.966602,1,1,0,8.03671,0.417205 --9.36817,0.539451,0.966602,1,1,0,9.42377,0.57544 --6.74853,1,0.966602,1,3,0,9.01803,0.246012 --6.97172,0.94666,0.966602,1,3,0,7.03731,0.173191 --8.94598,0.788081,0.966602,2,3,0,9.12593,0.0612818 --6.75882,1,0.966602,2,3,0,8.54814,0.231933 --6.83617,0.976572,0.966602,1,3,0,6.89524,0.304757 --6.76136,1,0.966602,2,3,0,6.81953,0.229966 --6.74834,0.96585,0.966602,2,3,0,6.9818,0.246846 --6.74834,0.704914,0.966602,1,3,0,8.1095,0.246846 --6.92359,0.957495,0.966602,1,3,0,6.96593,0.328444 --7.53841,0.82943,0.966602,1,1,0,7.54134,0.423943 --6.78466,1,0.966602,1,3,0,7.3509,0.284808 --6.75032,1,0.966602,1,3,0,6.77775,0.258533 --6.82321,0.978795,0.966602,1,3,0,6.86306,0.203735 --7.45564,0.939921,0.966602,2,3,0,7.51707,0.414006 --6.93946,1,0.966602,1,1,0,7.30609,0.332088 --7.18313,0.929407,0.966602,1,1,0,7.20525,0.376649 --6.79824,0.965331,0.966602,1,3,0,7.36961,0.211847 --7.20832,0.929593,0.966602,1,3,0,7.24764,0.144474 --7.42697,0.966564,0.966602,1,1,0,7.45945,0.125965 --6.81324,0.996841,0.966602,2,3,0,7.45323,0.206766 --6.75187,1,0.966602,2,3,0,6.80055,0.261077 --6.80122,0.984385,0.966602,1,3,0,6.83651,0.210777 --6.78157,0.991312,0.966602,1,3,0,6.88659,0.28327 --6.86213,0.943368,0.966602,2,3,0,7.10285,0.193677 --6.74956,0.870794,0.966602,2,3,0,8.0708,0.243105 --7.39065,0.850908,0.966602,1,3,0,7.62718,0.128707 --6.89225,0.987795,0.966602,1,3,0,7.3148,0.187183 --6.83029,0.978066,0.966602,1,3,0,7.10862,0.302831 --7.20845,0.839439,0.966602,2,3,0,7.71767,0.144461 --7.4216,0.967363,0.966602,1,1,0,7.45512,0.126363 --7.87993,0.940232,0.966602,1,1,0,7.89694,0.0988145 --6.83574,1,0.966602,2,3,0,7.83806,0.200231 --6.81996,1,0.966602,1,1,0,6.84461,0.204698 --6.93997,0.991807,0.966602,2,3,0,6.94038,0.178353 --7.53027,0.918629,0.966602,1,3,0,7.54954,0.118727 --7.49393,1,0.966602,1,1,0,7.64403,0.121185 --7.44209,1,0.966602,1,1,0,7.59304,0.124856 --7.74373,0.959818,0.966602,1,1,0,7.7866,0.105872 --7.77828,0.995723,0.966602,1,1,0,7.93022,0.104008 --7.72844,1,0.966602,1,1,0,7.91674,0.106714 --6.80482,0.924477,0.966602,1,3,0,8.25944,0.293618 --7.33128,0.893709,0.966602,1,3,0,7.33736,0.397986 --7.73357,0.878741,0.966602,1,1,0,7.8508,0.445574 --7.35065,1,0.966602,1,1,0,7.73565,0.400579 --6.99373,1,0.966602,1,1,0,7.26805,0.343606 --7.03228,0.988527,0.966602,1,1,0,7.09447,0.351088 --7.07096,0.988377,0.966602,1,1,0,7.14471,0.358141 --7.70018,0.820812,0.966602,1,1,0,7.72806,0.442029 --6.77192,0.879211,0.966602,2,3,0,8.47139,0.277968 --6.79564,0.993665,0.966602,1,1,0,6.79814,0.289831 --6.80458,0.997566,0.966602,1,1,0,6.81528,0.293522 --6.87638,0.980182,0.966602,1,1,0,6.88148,0.316587 --6.74821,0.999856,0.966602,1,3,0,6.86641,0.252436 --6.89222,0.978055,0.966602,2,3,0,6.90939,0.187188 --6.90659,0.961213,0.966602,1,3,0,7.23558,0.324369 --6.91673,0.928405,0.966602,1,3,0,7.30888,0.182467 --7.10788,0.958336,0.966602,2,3,0,7.36475,0.155101 --6.76238,0.998548,0.966602,1,3,0,7.09031,0.229224 --6.77458,0.997186,0.966602,1,1,0,6.77577,0.221957 --7.48317,0.839981,0.966602,1,3,0,7.74339,0.417369 --7.48317,0.764582,0.966602,2,3,0,8.94175,0.417369 --8.57907,0.698813,0.966602,1,1,0,8.68014,0.520889 --7.22628,1,0.966602,1,1,0,8.16987,0.38317 --7.9453,0.794189,0.966602,1,1,0,8.00513,0.466801 --6.96157,1,0.966602,2,3,0,7.6413,0.336943 --7.82691,0.765238,0.966602,1,1,0,7.82918,0.455182 --8.93753,0.897912,0.966602,2,3,0,9.13415,0.547059 --8.77795,1,0.966602,2,7,0,8.78796,0.0657455 --7.98408,1,0.966602,1,1,0,8.70976,0.0938974 --7.15348,0.987542,0.966602,2,3,0,8.24682,0.150058 --6.75088,1,0.966602,2,3,0,7.11524,0.240623 --6.75072,0.999201,0.966602,2,3,0,6.75799,0.259257 --6.84355,0.978336,0.966602,2,3,0,6.90207,0.307094 --6.78152,1,0.966602,1,1,0,6.82809,0.283245 --7.2019,0.630913,0.966602,2,3,0,9.2653,0.145103 --6.98524,0.98182,0.966602,2,3,0,7.47954,0.171128 --6.75748,0.999018,0.966602,1,3,0,6.9688,0.233077 --7.07216,0.952635,0.966602,2,3,0,7.14017,0.159351 --6.96235,0.981191,0.966602,2,3,0,7.3458,0.174666 --7.05356,0.983237,0.966602,1,1,0,7.07596,0.161686 --7.19381,0.960265,0.966602,2,3,0,7.57447,0.145905 --8.77421,0.90238,0.966602,2,3,0,8.80976,0.535456 --7.60311,1,0.966602,1,1,0,8.51776,0.431371 --9.34714,0.564378,0.966602,1,1,0,9.43692,0.574121 --8.47583,1,0.966602,1,1,0,9.48273,0.512839 --8.47583,0.281116,0.966602,1,1,0,11.3955,0.512839 --6.91247,1,0.966602,2,3,0,8.38564,0.183258 --6.90228,0.983418,0.966602,2,3,0,7.1328,0.185198 --6.81086,1,0.966602,1,1,0,6.88402,0.207526 --6.81522,0.990225,0.966602,2,3,0,6.92055,0.206143 --6.75159,0.998658,0.966602,2,3,0,6.82513,0.239537 --6.89943,0.961799,0.966602,1,3,0,6.95521,0.322592 --6.87355,0.946639,0.966602,1,3,0,7.2114,0.19111 --6.98061,0.948105,0.966602,1,3,0,7.31613,0.340939 --6.86205,0.948274,0.966602,1,3,0,7.29633,0.193696 --7.03306,0.966823,0.966602,1,1,0,7.03384,0.164366 --6.85542,1,0.966602,1,1,0,6.99813,0.195253 --6.78852,1,0.966602,1,1,0,6.84131,0.215601 --7.09777,0.946331,0.966602,1,3,0,7.12237,0.156275 --7.22693,0.978472,0.966602,1,1,0,7.2623,0.142682 --7.06646,1,0.966602,2,3,0,7.22444,0.160058 --6.76847,0.894205,0.966602,2,3,0,8.42966,0.27583 --6.77482,0.99832,0.966602,1,1,0,6.77881,0.279656 --6.77482,0.866566,0.966602,1,3,0,7.26561,0.279656 --7.30088,0.89026,0.966602,1,3,0,7.32159,0.393832 --6.76167,0.988421,0.966602,1,3,0,7.35877,0.229736 --6.75492,0.919906,0.966602,2,3,0,7.35535,0.235516 --6.87573,0.984777,0.966602,2,3,0,6.88968,0.316413 --7.00343,0.904175,0.966602,2,3,0,7.48743,0.168464 --6.86096,1,0.966602,1,1,0,6.9773,0.193948 --7.05325,0.962845,0.966602,1,1,0,7.05342,0.161726 --7.02294,1,0.966602,1,1,0,7.09498,0.165734 --8.83383,0.776242,0.966602,1,3,0,9.20578,0.0642165 --8.74996,1,0.966602,2,3,0,9.05999,0.0665289 --6.87215,0.962165,0.966602,2,7,0,8.31127,0.315435 --6.77008,0.986893,0.966602,1,3,0,6.94986,0.224375 --6.77008,0.872898,0.966602,1,3,0,7.40846,0.224375 --7.37106,0.916068,0.966602,2,3,0,7.47181,0.130233 --6.87767,0.988561,0.966602,1,3,0,7.29783,0.190218 --6.75591,0.999288,0.966602,1,3,0,6.86263,0.234519 --7.05383,0.958453,0.966602,2,3,0,7.11844,0.355068 --7.21845,0.983582,0.966602,2,3,0,7.28004,0.382007 --6.97352,0.887068,0.966602,1,3,0,7.85407,0.172911 --6.77663,1,0.966602,2,3,0,6.92569,0.280662 --6.86278,0.976775,0.966602,1,1,0,6.86293,0.312809 --7.16858,0.914035,0.966602,1,1,0,7.17201,0.374383 --7.16858,0.222007,0.966602,1,3,0,12.7257,0.374383 --6.75872,0.989731,0.966602,1,3,0,7.21816,0.232017 --6.77213,0.996883,0.966602,1,1,0,6.77262,0.223244 --6.74891,0.969871,0.966602,2,3,0,6.97183,0.255299 --9.08275,0.593159,0.966602,1,3,0,9.35394,0.556967 --8.84853,1,0.966602,2,7,0,8.88761,0.0638216 --7.9001,1,0.966602,1,1,0,8.75207,0.0978321 --8.49506,0.93892,0.966602,1,1,0,8.52512,0.0742583 --8.94163,0.963091,0.966602,1,1,0,9.03987,0.0613924 --6.79017,0.956601,0.966602,2,7,0,8.45872,0.287404 --6.94492,0.936502,0.966602,1,3,0,7.15866,0.177516 --6.82278,0.989774,0.966602,2,3,0,7.06285,0.203861 --7.32681,0.918978,0.966602,1,3,0,7.37154,0.133814 --6.92859,0.989079,0.966602,1,3,0,7.25679,0.180329 --6.86613,0.986089,0.966602,2,3,0,7.104,0.192762 --6.92825,0.995863,0.966602,2,3,0,6.94014,0.180388 --7.19543,0.951949,0.966602,1,1,0,7.19591,0.145744 --7.49202,0.955149,0.966602,1,1,0,7.5107,0.121318 --6.88744,0.947064,0.966602,1,3,0,8.11695,0.319526 --7.71284,0.86572,0.966602,2,7,0,7.71662,0.107585 --7.77944,0.982773,0.966602,2,7,0,7.78214,0.450348 --7.34985,0.688254,0.966602,1,3,0,9.49075,0.131925 --7.34136,1,0.966602,2,3,0,7.45482,0.132615 --7.60653,0.962579,0.966602,1,1,0,7.64566,0.113844 --6.77687,0.956911,0.966602,2,3,0,8.17804,0.280795 --7.53879,0.773273,0.966602,1,3,0,8.12957,0.118164 --7.15987,1,0.966602,1,1,0,7.48648,0.149383 --7.55555,0.859675,0.966602,1,3,0,8.63819,0.425938 --7.55555,0.417867,0.966602,1,1,0,9.39259,0.425938 --7.15685,1,0.966602,1,1,0,7.49616,0.372531 --6.78651,1,0.966602,2,3,0,7.10238,0.216432 --6.74823,0.958555,0.966602,2,3,0,7.06861,0.25257 --8.15831,0.724215,0.966602,1,3,0,8.34559,0.486342 --8.15831,0.555242,0.966602,1,1,0,9.60076,0.486342 --8.15831,0.696269,0.966602,1,1,0,9.19394,0.486342 --7.42209,1,0.966602,1,1,0,8.03099,0.409823 --7.06555,1,0.966602,1,1,0,7.35639,0.357179 --8.65042,0.603912,0.966602,1,1,0,8.65196,0.526311 --7.20034,1,0.966602,1,1,0,8.20268,0.379283 --7.10492,1,0.966602,1,1,0,7.25751,0.364018 --6.77037,1,0.966602,2,3,0,7.06961,0.224214 --7.17094,0.900764,0.966602,1,3,0,7.35257,0.374753 --7.58456,0.634797,0.966602,1,3,0,9.14113,0.115215 --8.0049,0.948877,0.966602,1,1,0,8.0398,0.092959 --6.89503,0.885157,0.966602,1,3,0,8.94138,0.32148 --6.81368,0.951499,0.966602,2,3,0,7.18675,0.297009 --6.79475,1,0.966602,1,1,0,6.81723,0.289444 --7.49291,0.746855,0.966602,2,3,0,8.25399,0.121256 --6.96683,0.929287,0.966602,1,3,0,8.282,0.338063 --7.31723,0.769158,0.966602,2,3,0,8.47987,0.134615 --7.20318,1,0.966602,2,3,0,7.35334,0.144977 --7.20318,0.937406,0.966602,1,1,0,7.57101,0.144977 --7.59122,0.980885,0.966602,2,3,0,7.60022,0.114797 --6.75327,1,0.966602,2,3,0,7.4229,0.262947 --7.19172,0.933058,0.966602,2,3,0,7.21156,0.146114 --6.81335,0.9563,0.966602,1,3,0,7.50333,0.296887 --7.0224,0.818917,0.966602,2,3,0,7.93729,0.165807 --6.75542,0.912386,0.966602,2,3,0,7.78948,0.235004 --6.76251,0.99833,0.966602,1,1,0,6.76307,0.229135 --7.62281,0.878971,0.966602,2,3,0,7.7098,0.112847 --6.85325,0.951833,0.966602,1,3,0,8.23627,0.310038 --7.27874,0.809927,0.966602,2,7,0,7.89504,0.137935 --7.78455,0.929711,0.966602,1,1,0,7.78892,0.103675 --7.34582,1,0.966602,1,1,0,7.737,0.132252 --6.74935,1,0.966602,2,3,0,7.26409,0.243591 --7.79388,0.846336,0.966602,2,3,0,7.84687,0.103183 --6.89557,0.98198,0.966602,1,3,0,7.7302,0.186516 --6.78972,0.974847,0.966602,2,3,0,7.12528,0.2872 --6.75546,1,0.966602,1,3,0,6.78089,0.265445 --6.94585,0.874944,0.966602,2,3,0,7.47372,0.17736 --7.82784,0.884829,0.966602,1,3,0,7.90154,0.101424 --7.0373,0.97456,0.966602,1,3,0,7.72651,0.163802 --7.30547,0.955254,0.966602,1,1,0,7.31276,0.135612 --6.94716,0.923831,0.966602,1,3,0,7.95045,0.333808 --7.09207,0.790907,0.966602,2,3,0,8.12621,0.361825 --6.97759,1,0.966602,1,1,0,7.10353,0.340315 --7.5499,0.838439,0.966602,1,1,0,7.56176,0.425283 --8.20592,0.935653,0.966602,2,3,0,8.36319,0.4905 --6.77099,0.99673,0.966602,1,3,0,8.23739,0.223868 --7.47495,0.859166,0.966602,1,3,0,7.64674,0.122506 --7.60522,0.982196,0.966602,1,1,0,7.69241,0.113925 --7.3529,1,0.966602,1,1,0,7.61196,0.13168 --7.06351,1,0.966602,1,1,0,7.31198,0.160427 --11.4192,0.601812,0.966602,3,7,0,12.4855,0.680306 --9.36048,1,0.966602,1,1,0,11.3137,0.574958 --8.06748,1,0.966602,2,3,0,9.18541,0.478205 --8.06748,0.789828,0.966602,1,1,0,8.85864,0.478205 --7.04036,0.849393,0.966602,1,3,0,9.01099,0.163398 --7.41098,0.93955,0.966602,1,1,0,7.41209,0.127158 --7.12765,1,0.966602,2,3,0,7.37917,0.152865 --6.8996,0.955725,0.966602,1,3,0,7.58844,0.322632 --6.86216,0.951383,0.966602,1,3,0,7.18831,0.193669 --6.81734,0.981723,0.966602,1,3,0,7.04071,0.298347 --6.81734,0.71857,0.966602,1,3,0,8.24043,0.298347 --6.83263,0.998587,0.966602,2,3,0,6.84807,0.303607 --6.75173,1,0.966602,1,3,0,6.81715,0.260871 --7.13943,0.80667,0.966602,2,3,0,7.90165,0.151571 --6.74817,1,0.966602,2,3,0,7.08816,0.247862 --7.81308,0.763562,0.966602,2,3,0,8.32712,0.102183 --7.46254,0.975439,0.966602,2,3,0,8.39613,0.123384 --10.6193,0.856396,0.966602,2,3,0,10.7825,0.644181 --7.92589,1,0.966602,1,1,0,9.8506,0.464937 --7.30402,1,0.966602,1,1,0,7.81385,0.394266 --7.14204,1,0.966602,1,1,0,7.34192,0.370156 --6.83119,1,0.966602,2,3,0,7.0701,0.20147 --6.79238,0.804489,0.966602,2,3,0,8.66937,0.214057 --7.83257,0.804729,0.966602,1,3,0,8.10578,0.101182 --7.27175,1,0.966602,2,3,0,7.75337,0.138556 --6.8331,0.94612,0.966602,1,3,0,7.66515,0.303761 --7.05382,0.938362,0.966602,1,1,0,7.05611,0.355066 --8.10624,0.875677,0.966602,2,3,0,8.11511,0.481712 --7.0868,1,0.966602,2,3,0,7.87744,0.157575 --7.93409,0.890813,0.966602,1,3,0,7.96225,0.0962102 --7.63694,1,0.966602,1,1,0,7.96086,0.111993 --7.37848,1,0.966602,1,1,0,7.64496,0.12965 --7.79294,0.944347,0.966602,1,1,0,7.8121,0.103233 --7.79294,0.905113,0.966602,1,1,0,8.61742,0.103233 --8.72583,0.904284,0.966602,1,1,0,8.72606,0.0672142 --7.88718,1,0.966602,2,3,0,8.64364,0.0984597 --8.69572,0.919103,0.966602,1,1,0,8.70271,0.068082 --7.97831,1,0.966602,1,1,0,8.64177,0.0941603 --8.12729,0.983845,0.966602,1,1,0,8.26691,0.0877119 --6.9558,0.869029,0.966602,1,3,0,9.28827,0.335698 --6.9558,0.852667,0.966602,1,1,0,7.3277,0.335698 --6.89619,1,0.966602,1,1,0,6.96871,0.321775 --6.94937,0.994884,0.966602,2,3,0,6.98061,0.334294 --6.78147,0.979229,0.966602,1,3,0,7.06767,0.218635 --6.80894,0.984668,0.966602,1,3,0,6.90057,0.295223 --6.86977,0.941798,0.966602,2,3,0,7.17378,0.191944 --7.00055,0.974532,0.966602,1,1,0,7.00438,0.168878 --6.88324,0.956769,0.966602,1,3,0,7.36586,0.318422 --7.15807,0.797792,0.966602,2,3,0,8.16068,0.149573 --9.46804,0.760468,0.966602,1,3,0,10.0013,0.0496216 --8.54738,1,0.966602,1,1,0,9.41364,0.0725787 --8.87275,0.973058,0.966602,1,1,0,9.00766,0.0631781 --6.94011,0.975529,0.966602,1,3,0,9.03515,0.17833 --6.9303,0.859906,0.966602,2,3,0,8.23504,0.180027 --7.51334,0.919391,0.966602,1,3,0,7.53369,0.119862 --7.85932,0.985287,0.966602,2,3,0,7.90089,0.0998341 --8.34146,0.948663,0.966602,1,1,0,8.38701,0.079503 --6.76298,0.966708,0.966602,1,3,0,8.65321,0.228808 --6.88566,0.977277,0.966602,1,3,0,6.89333,0.188532 --6.81315,0.965243,0.966602,2,3,0,7.19181,0.296812 --7.27296,0.827,0.966602,2,3,0,7.78447,0.138448 --7.05885,1,0.966602,1,1,0,7.25218,0.161013 --7.01629,1,0.966602,1,1,0,7.09385,0.16665 --6.80627,0.996475,0.966602,1,3,0,6.97639,0.209036 --6.80627,0.952595,0.966602,1,3,0,7.12247,0.209036 --6.97007,0.986816,0.966602,2,3,0,6.9702,0.338746 --6.83419,1,0.966602,1,1,0,6.93766,0.304115 --6.8104,1,0.966602,1,1,0,6.8397,0.295781 --6.99297,0.896566,0.966602,2,3,0,7.41799,0.343455 --6.99297,0.677873,0.966602,2,7,0,8.48103,0.343455 --7.50925,0.946868,0.966602,2,3,0,7.52646,0.420501 --7.50925,0.520088,0.966602,1,1,0,8.90905,0.420501 --9.11436,0.591139,0.966602,1,1,0,9.19009,0.559076 --7.56733,1,0.966602,1,1,0,8.69994,0.427298 --7.81175,0.923567,0.966602,1,1,0,8.02269,0.453651 --7.04714,1,0.966602,2,3,0,7.58873,0.353847 --7.00695,1,0.966602,1,1,0,7.10093,0.34623 --7.01275,0.998267,0.966602,1,1,0,7.08497,0.347361 --6.75288,0.994326,0.966602,1,3,0,7.03894,0.237816 --8.50942,0.672081,0.966602,1,3,0,8.823,0.515486 --8.50942,0.6363,0.966602,1,1,0,9.81795,0.515486 --7.20639,1,0.966602,1,1,0,8.11531,0.380199 --7.20639,0.917947,0.966602,1,1,0,7.48597,0.380199 --6.84389,1,0.966602,1,1,0,7.10083,0.307198 --7.05568,0.979959,0.966602,2,3,0,7.05984,0.355404 --8.8344,0.56769,0.966602,1,1,0,8.83452,0.539791 --7.25368,1,0.966602,1,1,0,8.34682,0.38717 --6.91425,1,0.966602,1,1,0,7.16239,0.326228 --6.81846,1,0.966602,1,1,0,6.89332,0.298749 --6.81846,0.740139,0.966602,1,3,0,7.80016,0.298749 --6.87272,0.984897,0.966602,1,1,0,6.88278,0.315591 --7.22324,0.962447,0.966602,2,3,0,7.22661,0.382718 --6.79338,1,0.966602,2,3,0,7.16199,0.213668 --6.74996,0.999115,0.966602,2,3,0,6.79967,0.242277 --6.7782,0.991796,0.966602,1,3,0,6.79457,0.281516 --8.39837,0.742483,0.966602,2,3,0,8.40127,0.0775026 --6.75177,1,0.966602,2,3,0,8.05613,0.260929 --6.78575,0.988797,0.966602,1,3,0,6.81329,0.216757 --6.77511,0.990732,0.966602,2,3,0,6.86602,0.279819 --6.81374,0.996542,0.966602,2,3,0,6.81559,0.297031 --6.81374,0.696267,0.966602,2,7,0,8.257,0.297031 --6.74818,0.998574,0.966602,2,3,0,6.82326,0.252216 --6.93876,0.96299,0.966602,2,3,0,7.02278,0.331932 --6.86519,1,0.966602,1,1,0,6.93736,0.313494 --6.76478,0.989293,0.966602,1,3,0,6.92787,0.227595 --8.28004,0.790148,0.966602,2,3,0,8.34995,0.0817424 --8.42881,0.982347,0.966602,2,7,0,8.42948,0.509088 --6.77316,0.959219,0.966602,2,3,0,8.79661,0.222697 --6.90868,0.706889,0.966602,2,3,0,9.13449,0.183971 --6.80418,1,0.966602,1,1,0,6.8867,0.209747 --6.87852,0.98429,0.966602,1,1,0,6.87992,0.190034 --7.25521,0.970749,0.966602,2,3,0,7.25634,0.38739 --6.75173,1,0.966602,1,3,0,7.17696,0.260872 --8.70235,0.525962,0.966602,1,3,0,10.0695,0.0678898 --7.21036,0.951302,0.966602,1,3,0,8.63153,0.144275 --7.50052,0.956413,0.966602,1,1,0,7.52158,0.120733 --6.78762,0.995775,0.966602,1,3,0,7.48947,0.21597 --7.91482,0.767426,0.966602,1,3,0,8.29644,0.463866 --6.98975,1,0.966602,2,3,0,7.63062,0.342805 --7.84572,0.766262,0.966602,1,1,0,7.85101,0.457069 --6.88189,0.920771,0.966602,1,3,0,8.3118,0.18932 --7.27304,0.969707,0.966602,2,3,0,7.2744,0.389936 --11.1748,0.428602,0.966602,2,7,0,11.5011,0.0261064 --7.79788,0.917267,0.966602,1,3,0,11.6552,0.102973 --7.9027,0.987572,0.966602,1,1,0,8.03702,0.0977066 --8.10145,0.977996,0.966602,1,1,0,8.2179,0.0887829 --6.85014,0.985733,0.966602,2,7,0,7.8019,0.309109 --6.75063,1,0.966602,2,3,0,6.8425,0.24104 --6.74889,1,0.966602,1,1,0,6.75022,0.244804 --6.80458,0.987341,0.966602,1,3,0,6.81464,0.209608 --6.77877,1,0.966602,1,1,0,6.80119,0.219887 --6.77877,0.677711,0.966602,1,3,0,8.54903,0.219887 --7.5917,0.889769,0.966602,2,3,0,7.70396,0.114767 --6.76039,1,0.966602,2,3,0,7.41487,0.269995 --6.75832,0.99683,0.966602,1,3,0,6.7852,0.232351 --6.94349,0.848369,0.966602,2,3,0,7.74597,0.177757 --7.50424,0.957832,0.966602,2,3,0,7.50652,0.419903 --9.01175,0.610368,0.966602,1,1,0,9.09181,0.552168 --7.30897,1,0.966602,2,3,0,8.65739,0.135314 --6.95698,0.913758,0.966602,2,7,0,7.97424,0.335955 --7.67044,0.802878,0.966602,1,1,0,7.675,0.438823 --7.67044,0.628986,0.966602,1,3,0,9.39809,0.438823 --6.82304,1,0.966602,1,3,0,7.43271,0.300366 --6.78946,1,0.966602,1,1,0,6.81926,0.287081 --6.77525,1,0.966602,1,1,0,6.7901,0.279899 --7.24798,0.901389,0.966602,1,3,0,7.26492,0.386345 --6.74905,0.998489,0.966602,1,3,0,7.23088,0.244363 --7.06623,0.952,0.966602,2,3,0,7.10964,0.160087 --6.81821,0.995477,0.966602,1,3,0,7.02038,0.205225 --8.91307,0.73631,0.966602,2,3,0,8.99871,0.0621249 --6.75003,0.954274,0.966602,1,3,0,9.79345,0.257985 --6.85864,0.969414,0.966602,1,3,0,6.91263,0.19449 --8.36679,0.849037,0.966602,2,3,0,8.68715,0.504052 --8.36679,0.533722,0.966602,1,1,0,9.94954,0.504052 --7.95359,1,0.966602,2,3,0,8.54361,0.467593 --8.17467,0.929759,0.966602,1,1,0,8.51466,0.487779 --7.13964,1,0.966602,1,1,0,7.86776,0.369768 --7.10127,0.829027,0.966602,1,3,0,8.03662,0.155866 --6.75863,0.981264,0.966602,1,3,0,7.22126,0.268499 --8.28003,0.707776,0.966602,1,3,0,8.40952,0.496836 --7.33923,1,0.966602,2,3,0,8.04889,0.399054 --6.74906,1,0.966602,1,3,0,7.26512,0.255712 --6.74827,0.999888,0.966602,1,3,0,6.74989,0.247214 --6.74827,0.839189,0.966602,1,3,0,7.43349,0.247214 --7.50563,0.836505,0.966602,1,3,0,7.63836,0.42007 --6.88079,1,0.966602,1,1,0,7.31817,0.317772 --6.95489,0.992913,0.966602,2,3,0,6.97884,0.3355 --6.76315,0.976014,0.966602,2,3,0,7.10792,0.272152 --9.38464,0.360255,0.966602,2,3,0,11.6404,0.576468 --6.79747,1,0.966602,2,7,0,8.74063,0.290611 --6.86063,0.959654,0.966602,2,3,0,7.03748,0.194025 --9.08965,0.622271,0.966602,1,3,0,9.92985,0.0577643 --10.1422,0.978777,0.966602,2,3,0,10.1604,0.0382445 --7.7471,0.911557,0.966602,1,3,0,10.2027,0.105688 --8.90755,0.914568,0.966602,2,7,0,8.97552,0.544967 --7.50109,1,0.966602,2,7,0,8.58471,0.120694 --7.98047,0.940048,0.966602,1,1,0,8.00048,0.0940617 --8.35602,0.961253,0.966602,1,1,0,8.43309,0.0789842 --8.48001,0.981274,0.966602,2,7,0,8.49542,0.513171 --7.37346,1,0.966602,2,3,0,8.19198,0.403584 --7.10855,0.814515,0.966602,1,3,0,8.37111,0.155024 --7.23765,0.89832,0.966602,1,3,0,8.0984,0.384842 --6.85428,0.938372,0.966602,1,3,0,7.58404,0.195528 --6.88223,0.994277,0.966602,1,1,0,6.89859,0.189248 --6.79685,0.894096,0.966602,2,3,0,7.74612,0.212359 --6.76029,0.926803,0.966602,2,3,0,7.31809,0.230767 --6.7547,0.989169,0.966602,2,3,0,6.83826,0.264631 --7.32773,0.762287,0.966602,2,3,0,8.18301,0.133738 --7.32254,1,0.966602,1,1,0,7.43145,0.13417 --7.05868,0.980185,0.966602,2,3,0,7.65439,0.161035 --7.21279,0.973891,0.966602,1,1,0,7.23776,0.144039 --8.24118,0.889268,0.966602,2,3,0,8.65413,0.0832051 --8.7865,0.93946,0.966602,2,3,0,9.70967,0.0655084 --6.79639,0.860933,0.966602,1,3,0,9.91544,0.290152 --6.82877,0.974285,0.966602,1,3,0,6.96942,0.202144 --6.75593,0.999511,0.966602,1,3,0,6.81644,0.234502 --6.9702,0.944807,0.966602,1,3,0,7.05913,0.338773 --7.00669,0.989209,0.966602,1,1,0,7.06223,0.346178 --7.59047,0.662933,0.966602,1,3,0,8.84111,0.114844 --7.46055,1,0.966602,1,1,0,7.65785,0.123526 --7.71109,0.988846,0.966602,2,3,0,7.76642,0.107684 --7.77579,0.991939,0.966602,1,1,0,7.91321,0.104141 --7.54378,1,0.966602,1,1,0,7.81431,0.117836 --8.20135,0.9217,0.966602,1,1,0,8.20691,0.084743 --7.17036,0.962387,0.966602,1,3,0,8.09066,0.148288 --6.75285,1,0.966602,2,3,0,7.09079,0.262418 --6.75155,0.998918,0.966602,1,3,0,6.76159,0.239594 --7.73486,0.816863,0.966602,2,3,0,8.22667,0.445709 --6.88609,1,0.966602,2,3,0,7.59803,0.188443 --6.76097,1,0.966602,2,3,0,6.8571,0.270466 --7.32421,0.767507,0.966602,2,3,0,8.13528,0.13403 --7.32421,0.924306,0.966602,1,1,0,7.81144,0.13403 --7.6534,0.953797,0.966602,1,1,0,7.6798,0.111012 --6.84322,0.918336,0.966602,1,3,0,8.25707,0.306991 --6.84322,0.527515,0.966602,2,3,0,9.55306,0.306991 --6.83451,0.965951,0.966602,1,3,0,7.05239,0.200562 --6.75789,0.963132,0.966602,2,3,0,7.1099,0.267824 --7.40886,0.817553,0.966602,2,3,0,7.97497,0.408147 --8.48099,0.705086,0.966602,1,1,0,8.5642,0.513248 --7.45663,1,0.966602,1,1,0,8.24558,0.414128 --7.04905,1,0.966602,1,1,0,7.36682,0.354197 --6.78546,0.974386,0.966602,1,3,0,7.18869,0.216878 --7.13675,0.945406,0.966602,2,3,0,7.2537,0.151863 --7.2283,0.99497,0.966602,2,3,0,7.2782,0.142551 --7.74397,0.926512,0.966602,1,1,0,7.7459,0.105859 --8.598,0.909603,0.966602,1,1,0,8.5994,0.0710015 --8.76546,0.977021,0.966602,2,7,0,8.77754,0.53482 --7.35164,0.712671,0.966602,1,3,0,10.6829,0.131781 --6.97193,0.932891,0.966602,1,3,0,8.06886,0.339138 --7.3787,0.753244,0.966602,2,7,0,8.33828,0.129633 --6.7505,1,0.966602,2,3,0,7.26141,0.258874 --6.75219,0.998862,0.966602,2,3,0,6.7593,0.261529 --6.82206,0.982123,0.966602,2,3,0,6.87519,0.300025 --6.74802,0.999746,0.966602,1,3,0,6.82032,0.249684 --6.76778,0.995097,0.966602,1,3,0,6.77307,0.225717 --6.84957,0.986593,0.966602,1,3,0,6.85086,0.196676 --6.81466,1,0.966602,1,1,0,6.84957,0.206319 --6.75356,0.938172,0.966602,2,3,0,7.32302,0.263312 --6.76361,0.983898,0.966602,2,3,0,6.84824,0.228374 --6.75886,0.992822,0.966602,2,3,0,6.82068,0.268698 --7.11985,0.897662,0.966602,2,3,0,7.43338,0.366521 --6.80828,0.961937,0.966602,1,3,0,7.32988,0.208367 --6.78824,0.989576,0.966602,1,3,0,6.90893,0.286514 --7.53438,0.881095,0.966602,2,3,0,7.53829,0.118455 --7.20451,1,0.966602,1,1,0,7.49909,0.144847 --7.18837,1,0.966602,1,1,0,7.28153,0.14645 --7.62327,0.935768,0.966602,1,1,0,7.62774,0.112819 --6.99369,0.980583,0.966602,1,3,0,7.53035,0.169875 --6.9291,1,0.966602,1,1,0,7.00356,0.180239 --6.908,0.959699,0.966602,1,3,0,7.29697,0.324714 --7.62102,0.805307,0.966602,1,1,0,7.62149,0.43338 --8.76557,0.686718,0.966602,1,1,0,8.90052,0.534829 --7.41134,1,0.966602,1,1,0,8.39035,0.408463 --6.78471,0.895349,0.966602,2,3,0,8.05209,0.284836 --6.74924,1,0.966602,2,3,0,6.78046,0.24386 --6.94964,0.968122,0.966602,2,3,0,7.00759,0.334354 --7.09942,0.850603,0.966602,1,3,0,7.74012,0.156082 --7.10533,0.999658,0.966602,2,3,0,7.17332,0.155395 --6.99135,1,0.966602,2,3,0,7.10733,0.170219 --6.80459,0.971662,0.966602,1,3,0,7.20103,0.293527 --8.68882,0.421158,0.966602,2,3,0,10.8432,0.529182 --6.83957,0.975198,0.966602,1,3,0,8.98364,0.199216 --9.18486,0.728577,0.966602,2,3,0,9.99112,0.563722 --7.41553,0.699882,0.966602,1,3,0,11.3464,0.126816 --8.35012,0.930407,0.966602,2,7,0,8.37405,0.502682 --7.75615,1,0.966602,1,1,0,8.3824,0.447938 --7.54125,1,0.966602,1,1,0,7.89306,0.424275 --6.7575,0.99479,0.966602,1,3,0,7.56111,0.233055 --8.58887,0.606877,0.966602,1,3,0,9.51704,0.0712824 --7.29732,0.94998,0.966602,1,3,0,8.48174,0.136312 --7.02296,1,0.966602,1,1,0,7.25568,0.165731 --6.84619,1,0.966602,1,1,0,6.98767,0.197518 --8.24261,0.767078,0.966602,1,3,0,8.59591,0.0831507 --12.5623,0.729936,0.966602,1,3,0,13.9484,0.0159348 --14.3334,0.970236,0.966602,1,1,0,14.3338,0.00863631 --14.2753,1,0.966602,2,3,0,14.7657,0.00880995 --14.8334,0.78244,0.966602,3,7,0,14.941,0.0072806 --16.5724,0.986417,0.966602,1,1,0,16.5761,0.004038 --16.0437,1,0.966602,1,1,0,16.8205,0.00482768 --17.2761,0.997779,0.966602,2,3,0,17.3386,0.00318551 --16.2618,1,0.966602,1,1,0,17.3791,0.00448449 --16.1927,1,0.966602,1,1,0,16.7051,0.00459053 --11.0701,1,0.966602,2,3,0,16.2374,0.0271178 --10.8418,1,0.966602,2,3,0,11.349,0.0294763 --10.2761,1,0.966602,1,1,0,10.9695,0.0363613 --7.30292,0.940953,0.966602,1,3,0,10.696,0.13583 --7.10205,0.907511,0.966602,2,3,0,8.21623,0.363531 --7.24006,0.958251,0.966602,1,1,0,7.31956,0.385193 --6.77987,1,0.966602,1,3,0,7.12422,0.282394 --7.32486,0.88705,0.966602,1,3,0,7.34306,0.397117 --6.96417,0.891559,0.966602,1,3,0,7.96288,0.174375 --6.74819,0.85225,0.966602,2,3,0,8.59785,0.24768 --7.01409,0.668163,0.966602,2,3,0,9.12891,0.166957 --8.49933,0.908044,0.966602,2,3,0,8.60889,0.514694 --7.0889,1,0.966602,1,1,0,8.05555,0.361279 --6.76176,1,0.966602,1,3,0,7.01802,0.27109 --7.51593,0.77803,0.966602,2,3,0,8.22588,0.421295 --7.6048,0.591678,0.966602,1,3,0,9.74973,0.113951 --8.24214,0.925993,0.966602,1,1,0,8.25167,0.0831685 --6.74825,0.936803,0.966602,1,3,0,8.69345,0.252699 --6.76699,0.961748,0.966602,2,3,0,6.97322,0.226198 --7.12721,0.92873,0.966602,1,3,0,7.18502,0.152914 --7.01488,1,0.966602,1,1,0,7.13368,0.166847 --6.94238,1,0.966602,1,1,0,7.02403,0.177944 --6.93141,1,0.966602,1,1,0,6.97602,0.179832 --6.81341,1,0.966602,1,1,0,6.90694,0.206712 --6.82098,0.998368,0.966602,1,1,0,6.8338,0.204394 --6.74974,0.997303,0.966602,1,3,0,6.83876,0.257384 --6.96379,0.951444,0.966602,1,3,0,6.99069,0.337416 --7.05345,0.991194,0.966602,2,3,0,7.09871,0.354998 --7.06163,0.771902,0.966602,2,3,0,8.35282,0.356476 --6.75058,1,0.966602,1,3,0,7.01688,0.259018 --6.98593,0.935367,0.966602,1,3,0,7.10131,0.171023 --6.75019,0.919599,0.966602,2,3,0,7.66652,0.241828 --7.10112,0.94723,0.966602,2,3,0,7.15146,0.155884 --6.98823,1,0.966602,1,1,0,7.103,0.17068 --6.99489,0.99876,0.966602,1,1,0,7.04269,0.169699 --7.1192,0.963507,0.966602,2,3,0,7.44766,0.153812 --9.18538,0.778222,0.966602,1,3,0,9.61437,0.0555592 --7.56102,0.930116,0.966602,1,3,0,9.09274,0.116715 +# 0.408606 +-6.9790249,1,1.0750124,2,3,0,7.2068685,0.17206648 +-7.1694994,0.91887577,1.0750124,1,3,0,7.6963664,0.37452719 +-7.1010086,1,1.0750124,1,1,0,7.245302,0.36335431 +-8.1532916,0.69834328,1.0750124,1,1,0,8.1817503,0.48589973 +-6.9596473,1,1.0750124,1,1,0,7.7565735,0.33652969 +-6.8077667,0.90268605,1.0750124,2,3,0,7.4372147,0.2947721 +-6.9465646,0.88648322,1.0750124,2,3,0,7.3936658,0.17724061 +-7.4692166,0.92422618,1.0750124,1,3,0,7.4743938,0.12291022 +-7.5328071,0.99047875,1.0750124,1,1,0,7.6491059,0.11855909 +-7.4931582,1,1.0750124,2,3,0,7.6543813,0.1212388 +-7.6145133,0.98233435,1.0750124,1,1,0,7.7169058,0.11335344 +-6.9821424,0.98492043,1.0750124,2,3,0,7.8451966,0.17159353 +-6.8247035,1,1.0750124,1,1,0,6.9477564,0.2033023 +-7.6386188,0.86000608,1.0750124,1,3,0,7.7433404,0.11189212 +-7.7041915,0.99094536,1.0750124,1,1,0,7.8437858,0.10807258 +-7.9099499,0.94591512,1.0750124,2,3,0,8.7751042,0.097357739 +-6.9329079,0.88261279,1.0750124,1,3,0,8.7034502,0.33060188 +-6.8036123,0.91617625,1.0750124,2,3,0,7.3484249,0.2931374 +-6.7554263,0.99647659,1.0750124,1,3,0,6.8256911,0.234998 +-6.7609172,0.99861107,1.0750124,1,1,0,6.7618373,0.23029271 +-7.233174,0.89993386,1.0750124,1,3,0,7.319565,0.14209137 +-6.7996735,0.99264297,1.0750124,2,3,0,7.3015345,0.21132832 +-6.8606185,0.98606204,1.0750124,1,1,0,6.8634236,0.19402716 +-6.8264215,1,1.0750124,1,1,0,6.864215,0.20280876 +-6.9833452,0.96617852,1.0750124,1,1,0,6.9836108,0.1714121 +-6.9225008,1,1.0750124,1,1,0,6.9958435,0.18141603 +-6.8775957,1,1.0750124,1,1,0,6.9324561,0.19023296 +-6.8133764,0.9707008,1.0750124,2,3,0,7.1262571,0.2968968 +-7.0337304,0.97361184,1.0750124,2,3,0,7.0352694,0.35136035 +-7.0173872,1,1.0750124,1,1,0,7.1076886,0.34825676 +-7.0173872,0.68776539,1.0750124,1,3,0,8.2912239,0.34825676 +-6.8835834,0.80873973,1.0750124,2,3,0,7.952896,0.3185142 +-7.2156345,0.85034836,1.0750124,1,3,0,7.7687868,0.14376355 +-6.7795,1,1.0750124,2,3,0,7.1125444,0.28220185 +-11.679138,0.38678961,1.0750124,2,3,0,11.93228,0.69102281 +-12.7398,1,1.0750124,2,7,0,12.740109,0.014975594 +-8.0706528,0.95579247,1.0750124,1,3,0,13.80292,0.090084521 +-6.901155,0.87611399,1.0750124,1,3,0,8.8763532,0.32302249 +-6.750974,0.99834243,1.0750124,1,3,0,6.9064322,0.24047791 +-6.8345891,0.98348646,1.0750124,2,3,0,6.8700868,0.20054124 +-6.8488961,0.99677749,1.0750124,1,1,0,6.8660752,0.19684201 +-7.3426438,0.7195287,1.0750124,2,3,0,8.982269,0.13251076 +-7.4240533,0.98708638,1.0750124,1,1,0,7.5159454,0.12618089 +-7.5544985,0.951272,1.0750124,2,3,0,8.2666907,0.11713713 +-7.3490582,1,1.0750124,1,1,0,7.5836542,0.1319898 +-7.001381,1,1.0750124,2,3,0,7.2868155,0.16875749 +-6.8191233,0.96797533,1.0750124,1,3,0,7.2048232,0.29898633 +-6.7754026,0.97396499,1.0750124,2,3,0,6.9638017,0.2799826 +-6.787578,0.99650752,1.0750124,1,1,0,6.7930542,0.28620591 +-6.9974568,0.92607816,1.0750124,2,3,0,7.2099407,0.16932487 +-8.6658843,0.7820296,1.0750124,1,3,0,8.9300406,0.068956423 +-7.4061729,0.94562023,1.0750124,1,3,0,8.5225169,0.127521 +-6.7965576,1,1.0750124,2,3,0,7.2560354,0.29022322 +-6.7872095,1,1.0750124,2,3,0,6.8031045,0.28603225 +-6.7623338,1,1.0750124,2,3,0,6.7811004,0.27153486 +-6.7623338,0.7146417,1.0750124,1,3,0,8.1345294,0.27153486 +-6.8223562,0.98297173,1.0750124,1,1,0,6.8223598,0.30012699 +-7.0507853,0.8720874,1.0750124,2,3,0,7.5611507,0.16204194 +-6.9239241,1,1.0750124,2,3,0,7.0389854,0.18115983 +-6.7861292,0.94643743,1.0750124,2,3,0,7.3394301,0.28551864 +-6.8669838,0.96327602,1.0750124,1,3,0,6.9992562,0.19256843 +-7.0173256,0.96875662,1.0750124,1,1,0,7.0210582,0.16650672 +-6.8754897,1,1.0750124,2,3,0,6.9929669,0.19068743 +-6.8754897,0.89191922,1.0750124,1,3,0,7.4991606,0.19068743 +-6.8754897,0.95222208,1.0750124,1,3,0,7.1215192,0.19068743 +-7.0097772,0.99072124,1.0750124,2,3,0,7.0159107,0.1675616 +-6.8355935,0.98615688,1.0750124,2,3,0,7.1636593,0.20027079 +-7.7566604,0.89349965,1.0750124,2,3,0,7.9925768,0.44799054 +-7.1691002,1,1.0750124,2,3,0,7.6260937,0.3744646 +-6.7482159,1,1.0750124,1,3,0,7.1189184,0.24754239 +-6.7480247,1,1.0750124,1,3,0,6.7481873,0.24969705 +-7.0144951,0.93540961,1.0750124,1,3,0,7.054451,0.34769865 +-6.7491936,0.9899661,1.0750124,2,3,0,7.0796804,0.24398133 +-7.1233626,0.93950474,1.0750124,2,3,0,7.1895711,0.15334391 +-6.8553301,0.9520569,1.0750124,1,3,0,7.4346889,0.31065279 +-6.8994539,0.98657658,1.0750124,1,1,0,6.9234304,0.32259688 +-6.7538389,0.98032319,1.0750124,2,3,0,7.0161238,0.26364163 +-6.867079,0.90055569,1.0750124,2,3,0,7.3345757,0.19254696 +-6.9534012,0.98169607,1.0750124,1,1,0,6.9639827,0.17611041 +-6.9534012,0.36621091,1.0750124,1,3,0,13.039489,0.17611041 +-6.7600078,0.94076047,1.0750124,2,3,0,7.5122711,0.26967814 +-6.8039798,0.92781936,1.0750124,2,3,0,7.1420677,0.2098154 +-6.7514048,0.93388979,1.0750124,2,3,0,7.3100192,0.2398132 +-6.7719591,0.99346996,1.0750124,1,3,0,6.7871941,0.27799127 +-6.7842435,0.99649031,1.0750124,1,1,0,6.7887625,0.2846052 +-7.3482483,0.71734321,1.0750124,2,3,0,8.3745291,0.40025921 +-6.9145005,1,1.0750124,1,1,0,7.2195902,0.32628869 +-6.8782729,0.94954486,1.0750124,1,3,0,7.2040468,0.19008771 +-6.7505797,0.99484344,1.0750124,1,3,0,6.8977354,0.25901087 +-6.832708,0.98092564,1.0750124,1,3,0,6.837764,0.30363143 +-6.8743489,0.90362213,1.0750124,2,3,0,7.3179559,0.3160364 +-7.5774423,0.71118379,1.0750124,1,3,0,8.4001948,0.11566521 +-6.852463,0.99405799,1.0750124,1,3,0,7.4893089,0.19596669 +-6.9856278,0.97183015,1.0750124,1,1,0,6.9890992,0.17106935 +-6.9854795,0.9746995,1.0750124,2,3,0,7.3313766,0.17109156 +-7.1190875,0.79002367,1.0750124,2,3,0,8.8895101,0.15382424 +-7.0342075,1,1.0750124,1,1,0,7.1431511,0.16421281 +-7.0434625,0.99940251,1.0750124,2,3,0,7.1032339,0.16299133 +-6.9932162,1,1.0750124,1,1,0,7.0744215,0.16994426 +-6.7558708,0.99729141,1.0750124,2,3,0,7.0086359,0.23456079 # -# Elapsed Time: 0.010912 seconds (Warm-up) -# 0.023346 seconds (Sampling) -# 0.034258 seconds (Total) +# Elapsed Time: 0.001 seconds (Warm-up) +# 0 seconds (Sampling) +# 0.001 seconds (Total) # diff --git a/test/data/runset-bad/bad-draws-bern-2_config.json b/test/data/runset-bad/bad-draws-bern-2_config.json new file mode 100644 index 00000000..957b5939 --- /dev/null +++ b/test/data/runset-bad/bad-draws-bern-2_config.json @@ -0,0 +1,66 @@ + +{ + "stan_major_version" : "2", + "stan_minor_version" : "37", + "stan_patch_version" : "0", + "model_name" : "bernoulli_model", + "start_datetime" : "2026-07-20 16:58:36 UTC", + "method" : { + "value" : "sample", + "sample" : { + "num_samples" : 100, + "num_warmup" : 1000, + "save_warmup" : false, + "thin" : 1, + "adapt" : { + "engaged" : true, + "gamma" : 0.05, + "delta" : 0.8, + "kappa" : 0.75, + "t0" : 10, + "init_buffer" : 75, + "term_buffer" : 50, + "window" : 25, + "save_metric" : true + }, + "algorithm" : { + "value" : "hmc", + "hmc" : { + "engine" : { + "value" : "nuts", + "nuts" : { + "max_depth" : 10 + } + }, + "metric" : { + "value" : "diag_e" + }, + "metric_file" : "", + "stepsize" : 1, + "stepsize_jitter" : 0 + } + }, + "num_chains" : 1 + } + }, + "id" : 2, + "data" : { + "file" : "test\/data\/bernoulli.data.json" + }, + "init" : "2", + "random" : { + "seed" : 12345 + }, + "output" : { + "file" : "\/tmp\/tmpuisjazeu\/bernoullik799pfr2\/bernoulli-20260720125836_2.csv", + "diagnostic_file" : "", + "refresh" : 100, + "sig_figs" : 8, + "profile_file" : "profile.csv", + "save_cmdstan_config" : true + }, + "num_threads" : 1, + "mpi_enabled" : false, + "stanc_version" : "stanc3 v2.37.0", + "stancflags" : "--filename-in-msg=bernoulli.stan" +} diff --git a/test/data/runset-bad/bad-draws-bern-3.csv b/test/data/runset-bad/bad-draws-bern-3.csv index 5fe0f279..28880646 100644 --- a/test/data/runset-bad/bad-draws-bern-3.csv +++ b/test/data/runset-bad/bad-draws-bern-3.csv @@ -1,22 +1,24 @@ # stan_version_major = 2 -# stan_version_minor = 19 -# stan_version_patch = 1 +# stan_version_minor = 37 +# stan_version_patch = 0 # model = bernoulli_model +# start_datetime = 2026-07-20 16:58:36 UTC # method = sample (Default) # sample -# num_samples = 1000 (Default) +# num_samples = 100 # num_warmup = 1000 (Default) -# save_warmup = 0 (Default) +# save_warmup = false (Default) # thin = 1 (Default) # adapt -# engaged = 1 (Default) -# gamma = 0.050000000000000003 (Default) -# delta = 0.80000000000000004 (Default) +# engaged = true (Default) +# gamma = 0.05 (Default) +# delta = 0.8 (Default) # kappa = 0.75 (Default) # t0 = 10 (Default) # init_buffer = 75 (Default) # term_buffer = 50 (Default) # window = 25 (Default) +# save_metric = true # algorithm = hmc (Default) # hmc # engine = nuts (Default) @@ -26,1023 +28,130 @@ # metric_file = (Default) # stepsize = 1 (Default) # stepsize_jitter = 0 (Default) +# num_chains = 1 (Default) # id = 3 # data -# file = /Users/mitzi/github/stan-dev/cmdstanpy/test/files-data/bernoulli.data.R +# file = test/data/bernoulli.data.json # init = 2 (Default) # random -# seed = 73255 +# seed = 12345 # output -# file = /Users/mitzi/github/stan-dev/cmdstanpy/test/files-tmp/bernoulli.output-3.csv +# file = /tmp/tmpuisjazeu/bernoullik799pfr2/bernoulli-20260720125836_3.csv # diagnostic_file = (Default) # refresh = 100 (Default) +# sig_figs = 8 (Default) +# profile_file = profile.csv (Default) +# save_cmdstan_config = true +# num_threads = 1 (Default) +# stanc_version = stanc3 v2.37.0 +# stancflags = --filename-in-msg=bernoulli.stan lp__,accept_stat__,stepsize__,treedepth__,n_leapfrog__,divergent__,energy__,theta # Adaptation terminated -# Step size = 1.04222 +# Step size = 1.03379 # Diagonal elements of inverse mass matrix: -# 0.431998 --6.89699,0.962315,1.04222,1,3,0,6.93209,0.321977 --7.38538,0.798537,1.04222,1,3,0,8.10844,0.129114 --7.73276,0.949912,1.04222,1,1,0,7.76949,0.106475 --7.41074,1,1.04222,1,1,0,7.72945,0.127176 --6.7536,0.967861,1.04222,1,3,0,7.5416,0.263357 --6.99984,0.960965,1.04222,2,3,0,7.01982,0.16898 --6.87083,1,1.04222,1,1,0,6.97861,0.191709 --6.80213,0.980568,1.04222,2,3,0,7.00862,0.292541 --7.16018,0.797992,1.04222,2,3,0,7.86732,0.14935 --7.1456,1,1.04222,1,1,0,7.23594,0.150902 --6.81869,0.9957,1.04222,1,3,0,7.0842,0.205081 --6.88444,0.985394,1.04222,1,1,0,6.88955,0.188785 --6.83213,0.986213,1.04222,2,3,0,7.03699,0.20121 --6.90722,0.965911,1.04222,1,3,0,7.10965,0.324523 --6.90722,0.773363,1.04222,1,3,0,7.85622,0.324523 --6.80688,0.925383,1.04222,2,3,0,7.28456,0.294427 --6.91396,0.936928,1.04222,2,3,0,7.17656,0.18298 --6.82734,1,1.04222,2,3,0,6.89906,0.202547 --6.77126,1,1.04222,1,1,0,6.81402,0.223717 --6.85724,0.985405,1.04222,1,3,0,6.85764,0.194821 --6.8784,0.971887,1.04222,1,3,0,7.10681,0.317132 --6.74878,0.99775,1.04222,2,3,0,6.8949,0.245158 --6.75075,0.999488,1.04222,1,1,0,6.75076,0.240842 --6.7809,0.993709,1.04222,1,3,0,6.78232,0.218894 --7.3558,0.888809,1.04222,1,3,0,7.44073,0.131446 --7.38337,0.995611,1.04222,1,1,0,7.49296,0.12927 --6.99076,1,1.04222,1,1,0,7.31115,0.170305 --7.04572,0.98931,1.04222,1,1,0,7.08458,0.162697 --6.92353,1,1.04222,1,1,0,7.03531,0.181231 --6.86776,1,1.04222,1,1,0,6.92695,0.192395 --6.81684,0.97743,1.04222,2,3,0,7.0732,0.298167 --6.75849,1,1.04222,1,3,0,6.80051,0.268371 --6.76645,0.994456,1.04222,2,3,0,6.79563,0.226528 --6.81395,0.983082,1.04222,1,3,0,6.87244,0.29711 --6.89073,0.977276,1.04222,1,1,0,6.89919,0.320379 --6.81452,0.924323,1.04222,2,3,0,7.27272,0.29732 --7.21484,0.745112,1.04222,2,3,0,8.20053,0.381467 --7.21121,1,1.04222,1,1,0,7.35781,0.380924 --7.21121,0.549877,1.04222,1,1,0,8.37587,0.380924 --6.7481,1,1.04222,1,3,0,7.14328,0.251595 --7.10553,0.909769,1.04222,1,3,0,7.2262,0.155372 --7.88424,0.894661,1.04222,1,3,0,7.89356,0.0986033 --7.37637,1,1.04222,1,1,0,7.82466,0.129816 --6.77142,1,1.04222,2,3,0,7.2403,0.277668 --7.15521,0.939238,1.04222,2,3,0,7.16755,0.149875 --8.03563,0.933542,1.04222,2,3,0,8.04061,0.475286 --7.68301,1,1.04222,1,1,0,8.17128,0.440184 --6.91225,1,1.04222,1,1,0,7.43486,0.325746 --7.41201,0.938425,1.04222,2,3,0,7.42043,0.408548 --7.89245,0.847171,1.04222,1,1,0,8.04597,0.461688 --6.82163,0.970532,1.04222,1,3,0,8.05931,0.204201 --7.04287,0.96509,1.04222,1,3,0,7.04386,0.163069 --11.7547,0.507401,1.04222,2,3,0,13.5726,0.694054 --7.75665,1,1.04222,1,1,0,10.4348,0.447989 --6.88647,1,1.04222,2,3,0,7.47526,0.319274 --6.75271,0.996968,1.04222,1,3,0,6.90072,0.238029 --6.89616,0.961893,1.04222,1,3,0,6.94578,0.321766 --6.85661,1,1.04222,1,1,0,6.90888,0.311029 --6.86397,0.997779,1.04222,1,1,0,6.89402,0.313149 --6.78858,0.954271,1.04222,2,3,0,7.10659,0.286672 --6.91001,0.964722,1.04222,1,1,0,6.91097,0.325202 --6.81258,1,1.04222,2,3,0,6.88728,0.296599 --8.33999,0.574325,1.04222,1,3,0,9.64099,0.0795555 --6.75368,1,1.04222,2,3,0,8.06626,0.23686 --6.82267,0.980168,1.04222,1,3,0,6.8581,0.300236 --7.06873,0.927377,1.04222,1,1,0,7.07064,0.357745 --6.91463,0.928471,1.04222,1,3,0,7.47149,0.182855 --7.20644,0.909827,1.04222,1,3,0,7.64543,0.380206 --7.05696,0.855483,1.04222,1,3,0,7.9401,0.161253 --6.96346,1,1.04222,1,1,0,7.06414,0.174488 --6.94104,1,1.04222,1,1,0,6.99623,0.178172 --7.29402,0.934377,1.04222,1,1,0,7.29404,0.136597 --7.05823,1,1.04222,1,1,0,7.26832,0.161091 --6.7555,1,1.04222,1,3,0,7.03468,0.234928 --6.74996,0.94419,1.04222,2,3,0,7.09195,0.242269 --6.75086,0.952784,1.04222,2,3,0,7.02659,0.240661 --6.75086,0.493173,1.04222,1,3,0,9.30682,0.240661 --6.90533,0.973905,1.04222,2,3,0,6.95349,0.324057 --7.11598,0.935529,1.04222,1,1,0,7.13717,0.365876 --8.27579,0.85241,1.04222,2,3,0,8.30242,0.496477 --6.90291,1,1.04222,2,3,0,8.31319,0.185076 --7.52991,0.912411,1.04222,1,3,0,7.55468,0.118751 --6.99841,0.982884,1.04222,1,3,0,7.43545,0.169187 --7.49045,0.870871,1.04222,1,3,0,8.15165,0.418249 --7.02538,1,1.04222,1,1,0,7.37274,0.349784 --7.46912,0.863734,1.04222,1,1,0,7.5064,0.415661 --7.22062,1,1.04222,1,1,0,7.49954,0.382329 --7.22062,0.891493,1.04222,1,1,0,7.55,0.382329 --7.16424,1,1.04222,1,1,0,7.32216,0.3737 --6.85326,1,1.04222,1,1,0,7.07153,0.31004 --8.14587,0.775092,1.04222,2,3,0,8.14664,0.0869533 --6.84529,0.949427,1.04222,1,3,0,8.86846,0.307631 --6.74975,1,1.04222,1,3,0,6.82695,0.257391 --6.99739,0.794912,1.04222,2,3,0,8.03745,0.169335 --8.28061,0.83963,1.04222,1,3,0,8.41494,0.0817212 --8.98583,0.935377,1.04222,1,1,0,9.03138,0.0602798 --6.76494,0.869607,1.04222,2,7,0,9.85659,0.273448 --6.96374,0.956189,1.04222,1,3,0,6.96711,0.337406 --6.75355,0.996714,1.04222,1,3,0,6.97675,0.237014 --6.75181,0.985964,1.04222,2,3,0,6.83766,0.260985 --7.2173,0.874956,1.04222,1,3,0,7.42856,0.143603 --8.03737,0.890091,1.04222,1,3,0,8.04165,0.0915226 --7.77404,1,1.04222,2,3,0,8.10171,0.104234 --6.76995,1,1.04222,2,3,0,7.67427,0.224449 --6.75033,0.99849,1.04222,1,3,0,6.77842,0.258561 --7.04471,0.912494,1.04222,2,3,0,7.29707,0.353399 --8.09275,0.610398,1.04222,1,3,0,9.80348,0.0891478 --6.78826,0.992626,1.04222,1,3,0,8.1483,0.215705 --6.84591,0.986691,1.04222,1,1,0,6.84737,0.197588 --6.82131,0.984247,1.04222,1,3,0,7.00297,0.29976 --7.05138,0.932064,1.04222,1,1,0,7.05353,0.354621 --6.86061,1,1.04222,1,1,0,7.00351,0.31219 --7.87701,0.789392,1.04222,1,3,0,7.8786,0.460173 --7.50755,0.626916,1.04222,1,3,0,9.79473,0.120254 --9.01919,0.82934,1.04222,1,3,0,9.07789,0.0594569 --8.24201,1,1.04222,1,1,0,8.97768,0.0831736 --7.14512,0.965231,1.04222,1,3,0,8.11024,0.150953 --6.85479,0.993899,1.04222,1,3,0,7.08577,0.195405 --7.03481,0.962707,1.04222,1,1,0,7.03572,0.164133 --7.12436,0.923703,1.04222,1,3,0,7.72962,0.367267 --6.75931,0.998963,1.04222,2,3,0,7.15635,0.231539 --6.99552,0.938052,1.04222,1,3,0,7.08477,0.343966 --6.91612,0.929409,1.04222,1,3,0,7.38516,0.182581 --6.87795,1,1.04222,1,1,0,6.9288,0.190158 --6.81958,0.987476,1.04222,2,3,0,7.01257,0.204811 --7.06055,0.780246,1.04222,2,3,0,8.42086,0.160798 --6.75064,1,1.04222,2,3,0,7.01117,0.259125 --6.79636,0.993327,1.04222,2,3,0,6.80011,0.212541 --6.75708,0.979067,1.04222,2,3,0,6.95626,0.267075 --7.11872,0.74176,1.04222,2,3,0,8.37795,0.153865 --7.55366,0.865701,1.04222,1,3,0,8.43707,0.425719 --6.8867,1,1.04222,1,1,0,7.34065,0.319332 --6.94243,0.994308,1.04222,2,3,0,6.97391,0.332755 --6.94243,0.707673,1.04222,1,1,0,7.64663,0.332755 --7.06113,0.873103,1.04222,1,3,0,7.59185,0.160725 --10.2706,0.557091,1.04222,1,3,0,11.3812,0.0364372 --9.09584,1,1.04222,1,1,0,10.2091,0.0576185 --6.75513,0.854359,1.04222,1,3,0,9.95311,0.265096 --6.84112,0.919944,1.04222,2,3,0,7.21974,0.198812 --7.4261,0.90635,1.04222,1,3,0,7.46611,0.126029 --6.95182,0.986301,1.04222,1,3,0,7.33888,0.17637 --7.19739,0.953654,1.04222,1,1,0,7.20193,0.145549 --6.93741,1,1.04222,2,3,0,7.14924,0.178792 --6.82571,1,1.04222,1,1,0,6.91487,0.203014 --6.8035,1,1.04222,1,1,0,6.82917,0.20998 --6.75304,0.996252,1.04222,1,3,0,6.82353,0.262656 --6.74908,1,1.04222,2,3,0,6.75205,0.244267 --6.98078,0.944928,1.04222,1,3,0,7.03393,0.1718 --7.21609,0.956365,1.04222,1,1,0,7.22423,0.14372 --7.51305,0.952786,1.04222,1,1,0,7.53949,0.119881 --9.63179,0.792342,1.04222,1,3,0,9.85102,0.0465301 --6.74966,1,1.04222,2,3,0,9.01199,0.257195 --6.75261,0.998462,1.04222,2,3,0,6.75968,0.262096 --6.85345,0.97705,1.04222,1,3,0,6.85813,0.310098 --6.74881,1,1.04222,1,3,0,6.83633,0.254974 --6.78473,0.990758,1.04222,2,3,0,6.80906,0.284845 --6.87588,0.973596,1.04222,1,1,0,6.87731,0.316453 --6.75341,0.996547,1.04222,1,3,0,6.89303,0.237181 --7.22662,0.886784,1.04222,1,3,0,7.33384,0.383219 --6.8554,0.768538,1.04222,2,3,0,8.37252,0.310675 --6.77329,1,1.04222,1,1,0,6.83193,0.278775 --6.81694,0.939226,1.04222,2,3,0,7.0952,0.205613 --7.08568,0.977424,1.04222,2,3,0,7.09675,0.360721 --7.35267,0.91542,1.04222,1,1,0,7.42164,0.400847 --7.06102,1,1.04222,1,1,0,7.31551,0.356367 --6.87725,1,1.04222,1,1,0,7.0195,0.316823 --7.01194,0.958966,1.04222,1,1,0,7.03183,0.347204 --6.7855,1,1.04222,1,3,0,6.9447,0.285217 --7.07051,0.901351,1.04222,1,3,0,7.32444,0.159555 --7.31348,0.957515,1.04222,1,1,0,7.3308,0.134932 --7.48449,0.869668,1.04222,1,3,0,8.66697,0.417529 --7.91327,0.861969,1.04222,1,1,0,8.09606,0.463716 --6.75322,1,1.04222,1,3,0,7.65885,0.262886 --6.75491,0.985091,1.04222,2,3,0,6.83577,0.235525 --7.74732,0.784914,1.04222,1,3,0,7.92639,0.447016 --6.89693,1,1.04222,2,3,0,7.472,0.321961 --6.88399,1,1.04222,1,1,0,6.93033,0.318622 --7.24695,0.891242,1.04222,1,1,0,7.25495,0.386196 --9.18936,0.510936,1.04222,1,1,0,9.21778,0.564016 --6.78674,1,1.04222,1,3,0,9.02654,0.216338 --6.79803,0.997326,1.04222,1,1,0,6.80502,0.211923 --6.79803,0.890666,1.04222,1,3,0,7.36304,0.211923 --8.26362,0.707792,1.04222,1,3,0,8.6525,0.495447 --8.29657,0.996158,1.04222,2,3,0,8.80057,0.498227 --7.53168,1,1.04222,1,1,0,8.19712,0.423155 --7.08683,1,1.04222,1,1,0,7.43769,0.36092 --8.30966,0.660467,1.04222,1,1,0,8.32859,0.499324 --6.94084,0.917216,1.04222,1,3,0,8.80791,0.178205 --6.82972,1,1.04222,1,1,0,6.91899,0.201878 --6.77403,0.989389,1.04222,1,3,0,6.90008,0.279202 --6.75229,1,1.04222,1,3,0,6.76808,0.261673 --7.10612,0.943219,1.04222,2,3,0,7.13585,0.155303 --7.27357,0.970753,1.04222,1,1,0,7.30776,0.138394 --7.7851,0.738177,1.04222,2,3,0,10.1448,0.103646 --8.69429,0.900626,1.04222,1,1,0,8.69735,0.0681236 --8.04167,1,1.04222,1,1,0,8.6655,0.0913353 --7.95564,1,1.04222,2,3,0,8.20274,0.0952026 --7.57111,1,1.04222,2,3,0,7.9529,0.116068 --7.8045,0.968377,1.04222,1,1,0,7.88612,0.102628 --7.14877,0.973002,1.04222,1,3,0,7.69827,0.150561 --6.99304,1,1.04222,1,1,0,7.13867,0.16997 --7.39918,0.927961,1.04222,1,1,0,7.3993,0.128053 --6.75212,0.970239,1.04222,1,3,0,7.51753,0.261423 --6.86267,0.974636,1.04222,1,3,0,6.86861,0.312778 --7.03855,0.946848,1.04222,1,1,0,7.05141,0.35226 --6.81631,0.966893,1.04222,1,3,0,7.22176,0.205805 --6.97719,0.973968,1.04222,1,3,0,6.97719,0.172346 --7.06483,0.982997,1.04222,1,1,0,7.094,0.160261 --6.8254,0.99586,1.04222,1,3,0,7.01454,0.203101 --6.76696,0.977572,1.04222,2,3,0,7.00724,0.274834 --6.7484,0.998908,1.04222,2,3,0,6.77368,0.253449 --6.835,0.979023,1.04222,1,3,0,6.8458,0.304379 --6.93906,0.968843,1.04222,1,1,0,6.95047,0.331999 --6.7885,1,1.04222,2,3,0,6.89474,0.286636 --8.48574,0.521462,1.04222,1,3,0,9.8055,0.0745627 --7.0232,0.978247,1.04222,1,3,0,8.40689,0.165699 --6.88882,0.968355,1.04222,1,3,0,7.36055,0.319884 --6.88882,0.489886,1.04222,1,3,0,9.78311,0.319884 --7.63788,0.785311,1.04222,1,1,0,7.6387,0.435253 --7.34361,1,1.04222,1,1,0,7.68716,0.399641 --6.77972,1,1.04222,2,3,0,7.37318,0.21944 --6.77972,0.623955,1.04222,1,3,0,8.95142,0.21944 --6.86255,0.97154,1.04222,1,3,0,6.96165,0.312746 --7.62823,0.871051,1.04222,2,3,0,7.62845,0.112518 --6.79146,0.932326,1.04222,1,3,0,7.97327,0.287989 --7.08604,0.814064,1.04222,2,3,0,7.89079,0.157666 --6.85835,1,1.04222,1,1,0,7.03846,0.194558 --6.98149,0.9511,1.04222,1,3,0,7.2541,0.34112 --7.57659,0.741762,1.04222,1,3,0,8.63626,0.115719 --7.37846,1,1.04222,1,1,0,7.61224,0.129652 --6.96211,0.986974,1.04222,1,3,0,7.30031,0.174703 --7.70057,0.828832,1.04222,1,3,0,8.3474,0.442071 --8.08739,0.873545,1.04222,1,1,0,8.34828,0.480013 --7.13942,1,1.04222,1,1,0,7.80523,0.369731 --7.32495,0.940194,1.04222,1,1,0,7.41977,0.397129 --6.7542,1,1.04222,1,3,0,7.30215,0.236281 --6.85089,0.973009,1.04222,1,3,0,6.89475,0.309334 --6.75904,1,1.04222,1,3,0,6.82579,0.268856 --6.75739,0.997552,1.04222,1,3,0,6.7791,0.233153 --6.74844,0.962153,1.04222,2,3,0,6.98316,0.25361 --6.74909,0.999826,1.04222,1,1,0,6.74911,0.255803 --6.80432,0.932794,1.04222,2,3,0,7.14677,0.209699 --6.76179,0.981438,1.04222,2,3,0,6.95403,0.271115 --6.8403,0.905401,1.04222,2,3,0,7.26499,0.199027 --6.78327,0.990017,1.04222,2,3,0,6.93089,0.284124 --6.75396,0.99735,1.04222,1,3,0,6.80083,0.236547 --6.83961,0.982441,1.04222,2,3,0,6.88329,0.199207 --6.90371,0.986042,1.04222,1,1,0,6.91256,0.184921 --7.37138,0.931476,1.04222,1,3,0,7.37795,0.130207 --7.38803,0.99736,1.04222,1,1,0,7.50366,0.128908 --7.60567,0.967699,1.04222,1,1,0,7.66823,0.113897 --7.52359,0.861611,1.04222,1,3,0,9.19641,0.422201 --7.44323,1,1.04222,1,1,0,7.7069,0.41247 --6.82342,0.95953,1.04222,1,3,0,7.64724,0.203676 --6.75374,0.90331,1.04222,2,3,0,7.49537,0.23679 --6.75281,0.98912,1.04222,2,3,0,6.82017,0.262369 --6.79247,0.991539,1.04222,1,3,0,6.79301,0.288442 --6.83202,0.988491,1.04222,1,1,0,6.83859,0.303403 --6.83202,0.236674,1.04222,2,7,0,11.3606,0.303403 --6.83202,0.851386,1.04222,1,3,0,7.52622,0.303403 --7.56836,0.598672,1.04222,2,3,0,9.48551,0.116244 --8.95935,0.838128,1.04222,1,3,0,8.99167,0.0609432 --8.38103,1,1.04222,1,1,0,8.98122,0.0781045 --7.74215,1,1.04222,1,1,0,8.32757,0.105959 --7.80914,0.991235,1.04222,1,1,0,7.96084,0.102387 --6.9708,0.981159,1.04222,1,3,0,7.69542,0.173333 --6.81679,1,1.04222,1,1,0,6.9369,0.205658 --6.83077,0.996814,1.04222,1,1,0,6.84394,0.201587 --6.95041,0.955148,1.04222,1,3,0,7.1668,0.334523 --7.69632,0.676394,1.04222,2,7,0,8.80454,0.108519 --7.25415,1,1.04222,1,1,0,7.63924,0.140145 --6.86169,0.992433,1.04222,1,3,0,7.1802,0.193778 --6.77971,0.872246,1.04222,2,3,0,8.02782,0.219448 --6.83849,0.986271,1.04222,1,1,0,6.83899,0.199501 --6.77261,1,1.04222,1,1,0,6.82284,0.222985 --6.75935,0.974114,1.04222,2,3,0,6.93835,0.269124 --7.03102,0.918733,1.04222,1,3,0,7.18872,0.164639 --6.89659,1,1.04222,1,1,0,7.01212,0.186315 --7.06394,0.988808,1.04222,2,3,0,7.06932,0.160372 --6.99197,1,1.04222,1,1,0,7.08509,0.170127 --7.07717,0.98362,1.04222,1,1,0,7.10944,0.158738 --6.75679,0.913249,1.04222,2,3,0,8.01556,0.266789 --6.79941,0.929305,1.04222,2,3,0,7.13523,0.211425 --7.94111,0.758642,1.04222,1,3,0,8.29034,0.4664 --6.74905,0.826624,1.04222,2,3,0,8.90522,0.255698 --7.31239,0.720293,1.04222,2,3,0,8.41344,0.135024 --6.74807,1,1.04222,2,3,0,7.23004,0.251232 --6.97774,0.941569,1.04222,1,3,0,7.04908,0.172263 --7.32789,0.93656,1.04222,1,1,0,7.32876,0.133725 --7.44976,0.980874,1.04222,1,1,0,7.52743,0.1243 --9.31267,0.806533,1.04222,1,3,0,9.46632,0.0527845 --7.67338,0.923702,1.04222,1,3,0,9.18115,0.10984 --6.77024,0.974495,1.04222,2,3,0,7.96037,0.276943 --7.5398,0.832932,1.04222,1,3,0,7.5683,0.424106 --7.017,0.875157,1.04222,1,3,0,8.23552,0.166553 --6.75067,1,1.04222,1,3,0,7.00478,0.240984 --7.03926,0.928452,1.04222,1,3,0,7.1061,0.352391 --6.79869,1,1.04222,1,1,0,6.96677,0.291125 --7.79586,0.790218,1.04222,1,3,0,7.8135,0.452033 --8.46986,0.789363,1.04222,1,1,0,8.73279,0.512366 --7.81625,1,1.04222,1,1,0,8.51229,0.454107 --7.35637,1,1.04222,1,1,0,7.7954,0.401337 --7.5747,0.928163,1.04222,1,1,0,7.73768,0.428145 --7.5747,0.608821,1.04222,1,1,0,8.63053,0.428145 --8.84905,0.640396,1.04222,1,1,0,8.99155,0.540836 --7.37949,1,1.04222,1,1,0,8.41461,0.404369 --7.14555,1,1.04222,1,1,0,7.39281,0.370723 --6.77347,0.985092,1.04222,1,3,0,7.21612,0.222529 --7.29666,0.872981,1.04222,1,3,0,7.4793,0.393248 --7.20862,1,1.04222,1,1,0,7.39758,0.380534 --6.7492,0.95111,1.04222,2,3,0,7.50124,0.256111 --6.85344,0.975226,1.04222,1,3,0,6.86355,0.310094 --7.36349,0.851282,1.04222,1,1,0,7.36416,0.402277 --7.36349,0.656971,1.04222,1,1,0,8.23969,0.402277 --6.77662,0.837959,1.04222,2,3,0,8.17671,0.280657 --6.87106,0.941427,1.04222,2,3,0,7.09723,0.315135 --6.90867,0.996184,1.04222,2,3,0,6.93804,0.324877 --6.93029,0.928261,1.04222,1,3,0,7.29832,0.180029 --7.10455,0.954583,1.04222,2,3,0,7.40897,0.155486 --7.31261,0.964025,1.04222,1,1,0,7.3394,0.135005 --7.09676,1,1.04222,1,1,0,7.29898,0.156394 --6.93487,0.979678,1.04222,2,3,0,7.36755,0.179229 --6.99688,0.947816,1.04222,1,3,0,7.3957,0.344237 --6.96382,1,1.04222,1,1,0,7.04526,0.337422 --6.94267,1,1.04222,1,1,0,7.01133,0.332808 --6.80535,1,1.04222,2,3,0,6.90431,0.29383 --7.15957,0.946224,1.04222,2,3,0,7.16137,0.149414 --6.80582,0.919227,1.04222,2,3,0,7.86892,0.294012 --7.20432,0.859481,1.04222,1,3,0,7.59236,0.144866 --7.42914,0.963395,1.04222,1,1,0,7.46622,0.125805 --6.94444,0.915337,1.04222,1,3,0,8.03267,0.333204 --7.3152,0.887068,1.04222,1,1,0,7.33601,0.395801 --7.64462,0.89363,1.04222,1,1,0,7.78126,0.435997 --7.64462,0.605925,1.04222,1,1,0,8.72732,0.435997 --7.64462,0.354495,1.04222,1,1,0,9.66636,0.435997 --8.22451,0.816545,1.04222,1,1,0,8.44588,0.492105 --7.25691,1,1.04222,1,1,0,7.96153,0.387634 --6.91871,1,1.04222,1,1,0,7.16503,0.327293 --6.80436,1,1.04222,1,1,0,6.88825,0.293435 --6.81931,0.952337,1.04222,2,3,0,7.05637,0.299053 --6.75266,0.997252,1.04222,1,3,0,6.8349,0.238096 --6.82574,0.979404,1.04222,1,3,0,6.85934,0.301296 --6.95057,0.931888,1.04222,2,3,0,7.23062,0.176576 --6.83815,1,1.04222,2,3,0,6.9295,0.19959 --6.75127,0.904726,1.04222,2,3,0,7.50826,0.240015 --7.38861,0.901573,1.04222,2,3,0,7.47497,0.128864 --6.8056,1,1.04222,2,3,0,7.24233,0.293928 --6.76457,1,1.04222,1,1,0,6.79443,0.273183 --6.88472,0.974369,1.04222,1,3,0,6.88542,0.318814 --7.19632,0.906124,1.04222,1,1,0,7.2066,0.378671 --6.80441,0.969005,1.04222,1,3,0,7.35401,0.209667 --6.75969,0.978938,1.04222,2,3,0,6.97089,0.269408 --6.85117,0.980415,1.04222,1,3,0,6.85198,0.309419 --6.77139,1,1.04222,1,1,0,6.82833,0.277647 --6.77139,0.724327,1.04222,1,3,0,8.09073,0.277647 --8.57024,0.521413,1.04222,1,3,0,9.8613,0.0718607 --7.97367,1,1.04222,2,3,0,8.54967,0.0943719 --6.86679,0.996272,1.04222,1,3,0,7.91078,0.192611 --6.77468,0.9991,1.04222,1,3,0,6.8454,0.221905 --7.06814,0.943654,1.04222,1,3,0,7.09241,0.159849 --7.06814,0.875002,1.04222,1,3,0,7.91675,0.159849 --6.77335,0.999786,1.04222,1,3,0,7.02492,0.222595 --6.77041,0.918649,1.04222,2,3,0,7.37678,0.22419 --6.75906,0.935665,1.04222,2,3,0,7.23076,0.231741 --7.45961,0.849621,1.04222,1,3,0,7.6339,0.123593 --7.0272,1,1.04222,1,1,0,7.38239,0.165154 --7.23397,0.962526,1.04222,1,1,0,7.25081,0.142017 --8.47136,0.851007,1.04222,1,3,0,8.52319,0.0750361 --7.18641,0.960784,1.04222,1,3,0,8.34252,0.146648 --6.76981,1,1.04222,1,3,0,7.145,0.224531 --7.19888,0.913802,1.04222,1,3,0,7.25882,0.145402 --6.78008,0.964925,1.04222,1,3,0,7.37553,0.282506 --7.7233,0.7303,1.04222,1,3,0,8.38341,0.107 --8.12395,0.951139,1.04222,1,1,0,8.18436,0.0878493 --7.30093,0.868856,1.04222,2,3,0,10.3303,0.136001 --7.30591,0.999726,1.04222,2,3,0,7.41402,0.135574 --6.7619,1,1.04222,2,3,0,7.19174,0.271199 --7.08787,0.902294,1.04222,1,3,0,7.28326,0.157447 --6.83834,0.958199,1.04222,2,3,0,7.50085,0.305453 --6.77401,0.989221,1.04222,1,3,0,6.9068,0.222248 --6.80545,0.992508,1.04222,1,1,0,6.807,0.209313 --6.77699,0.990538,1.04222,1,3,0,6.87417,0.280862 --7.03516,0.944011,1.04222,1,3,0,7.03705,0.351628 --7.51706,0.852482,1.04222,1,1,0,7.55459,0.421429 --6.79667,0.975741,1.04222,1,3,0,7.63628,0.212424 --6.74931,0.998148,1.04222,1,3,0,6.80449,0.256386 --8.6631,0.552934,1.04222,1,3,0,9.78745,0.0690388 --6.97395,0.988336,1.04222,1,3,0,8.64734,0.172844 --7.42696,0.93299,1.04222,1,3,0,7.42749,0.125965 --6.75834,0.997004,1.04222,1,3,0,7.42617,0.232334 --6.74932,0.942807,1.04222,2,3,0,7.10572,0.243656 --6.74805,0.999965,1.04222,1,3,0,6.74946,0.250911 --6.99851,0.936589,1.04222,1,3,0,7.0763,0.169171 --8.86238,0.752584,1.04222,1,3,0,9.2149,0.0634526 --8.45445,1,1.04222,1,1,0,8.94602,0.0755979 --8.77146,0.970965,1.04222,1,1,0,8.91808,0.065926 --8.80215,0.997359,1.04222,1,1,0,9.07581,0.0650777 --6.82197,0.975761,1.04222,1,3,0,9.01082,0.204101 --6.76216,0.992629,1.04222,1,3,0,6.86659,0.271398 --7.2859,0.88311,1.04222,1,3,0,7.30939,0.391747 --6.77674,0.984346,1.04222,1,3,0,7.35804,0.220871 --7.03341,0.951762,1.04222,1,3,0,7.04995,0.16432 --7.03341,0.927867,1.04222,1,1,0,7.37794,0.16432 --7.11365,0.925453,1.04222,1,3,0,7.71247,0.365486 --6.93853,1,1.04222,1,1,0,7.09126,0.33188 --7.57707,0.692362,1.04222,2,3,0,8.92681,0.115689 --9.99069,0.778201,1.04222,1,3,0,10.3027,0.0405117 --7.00294,0.944998,1.04222,2,7,0,9.2616,0.345441 --8.4972,0.518329,1.04222,1,3,0,10.5557,0.0741884 --7.04679,0.995683,1.04222,2,3,0,8.57031,0.162558 --7.59191,0.863075,1.04222,1,3,0,8.36324,0.430106 --7.07886,1,1.04222,1,1,0,7.46805,0.359531 --7.25955,0.942286,1.04222,1,1,0,7.33543,0.388014 --6.75605,0.999203,1.04222,1,3,0,7.25468,0.234388 --7.01667,0.958768,1.04222,2,3,0,7.09485,0.348118 --6.81397,1,1.04222,1,1,0,6.95702,0.297116 --7.50102,0.853352,1.04222,1,3,0,7.50474,0.419519 --7.89432,0.872597,1.04222,1,1,0,8.0864,0.461871 --7.89432,0.647828,1.04222,1,1,0,8.94172,0.461871 --7.10311,1,1.04222,1,1,0,7.6657,0.363711 --7.17191,0.9777,1.04222,1,1,0,7.27012,0.374904 --8.24747,0.69236,1.04222,1,1,0,8.28995,0.494072 --7.13398,1,1.04222,1,1,0,7.90033,0.368847 --7.37075,0.924181,1.04222,1,1,0,7.45807,0.403229 --6.94235,1,1.04222,1,1,0,7.24933,0.332738 --6.75288,0.977091,1.04222,2,3,0,7.07789,0.262457 --7.05573,0.915445,1.04222,1,3,0,7.19778,0.161409 --7.58042,0.923858,1.04222,1,3,0,7.58052,0.115477 --6.75956,0.992673,1.04222,1,3,0,7.59933,0.231339 --6.74873,0.999417,1.04222,1,3,0,6.76254,0.254714 --8.38011,0.678593,1.04222,1,3,0,8.53063,0.505142 --7.03152,0.874724,1.04222,1,3,0,9.13389,0.164572 --6.8195,0.996396,1.04222,1,3,0,6.9861,0.204835 --7.02221,0.936976,1.04222,1,3,0,7.24229,0.349182 --6.8202,1,1.04222,2,3,0,6.96346,0.29937 --6.96431,0.95725,1.04222,1,1,0,6.9696,0.337527 --7.32258,0.890205,1.04222,1,1,0,7.34911,0.396808 --7.06469,1,1.04222,2,3,0,7.30091,0.357024 --7.45527,0.87848,1.04222,1,1,0,7.50728,0.413961 --10.796,0.314205,1.04222,1,1,0,10.8217,0.652607 --10.796,0.717784,1.04222,1,1,0,12.7201,0.652607 --7.46628,1,1.04222,1,1,0,9.66964,0.415314 --8.05764,0.814513,1.04222,1,1,0,8.21869,0.477308 --7.07602,1,1.04222,1,1,0,7.75067,0.359034 --6.86169,1,1.04222,2,3,0,7.01952,0.3125 --8.0183,0.393395,1.04222,2,3,0,11.4339,0.0923622 --8.13366,0.986791,1.04222,1,1,0,8.30212,0.0874508 --7.09454,0.96965,1.04222,1,3,0,8.00555,0.156655 --7.21404,0.978687,1.04222,1,1,0,7.25619,0.143918 --6.74862,0.992011,1.04222,1,3,0,7.23201,0.245696 --7.00802,0.799067,1.04222,2,3,0,7.94458,0.16781 --6.74853,0.997664,1.04222,1,3,0,7.00695,0.246013 --6.79294,0.989494,1.04222,1,3,0,6.79978,0.21384 --7.34422,0.898194,1.04222,1,3,0,7.40921,0.132383 --7.11542,1,1.04222,1,1,0,7.32922,0.154239 --7.15676,0.992526,1.04222,1,1,0,7.22189,0.14971 --7.32196,0.971949,1.04222,1,1,0,7.36402,0.134219 --7.66376,0.949077,1.04222,1,1,0,7.69475,0.110402 --8.1652,0.925521,1.04222,2,3,0,8.95374,0.086174 --6.75829,0.961851,1.04222,1,3,0,8.33374,0.232377 --7.19292,0.925689,1.04222,2,3,0,7.36063,0.378153 --7.44617,0.918429,1.04222,1,1,0,7.55077,0.412836 --7.44617,0.247944,1.04222,1,1,0,10.1026,0.412836 --7.01805,1,1.04222,1,1,0,7.34142,0.348384 --8.01728,0.715768,1.04222,1,1,0,8.02996,0.473587 --6.97621,1,1.04222,2,3,0,7.67684,0.340029 --6.85836,1,1.04222,2,3,0,6.9562,0.311537 --7.02247,0.950456,1.04222,1,1,0,7.0351,0.349232 --7.02247,0.760827,1.04222,1,1,0,7.58723,0.349232 --6.81458,1,1.04222,2,3,0,6.96113,0.297342 --6.91959,0.945999,1.04222,1,3,0,7.13694,0.181943 --7.73067,0.888695,1.04222,1,3,0,7.7818,0.106591 --6.86271,0.902373,1.04222,2,7,0,8.30185,0.31279 --6.9669,0.968406,1.04222,1,1,0,6.98567,0.338076 --6.85101,1,1.04222,2,3,0,6.94585,0.309369 --6.82529,1,1.04222,1,1,0,6.86089,0.301144 --6.75181,1,1.04222,1,3,0,6.80814,0.26098 --6.76138,0.96435,1.04222,2,3,0,6.94518,0.229948 --6.76138,0.739488,1.04222,1,3,0,8.10141,0.229948 --6.79969,0.895698,1.04222,2,3,0,7.48985,0.211323 --7.12155,0.966614,1.04222,2,3,0,7.15301,0.366803 --7.43876,0.899569,1.04222,1,1,0,7.51414,0.411915 --6.86632,1,1.04222,1,1,0,7.25757,0.313814 --7.03202,0.794104,1.04222,2,3,0,7.92872,0.351039 --6.85383,0.836188,1.04222,2,3,0,7.83325,0.310211 --7.10463,0.9249,1.04222,1,1,0,7.11144,0.363969 --6.87262,1,1.04222,1,1,0,7.04366,0.315564 --6.7529,1,1.04222,1,3,0,6.84501,0.262485 --6.8161,0.980183,1.04222,1,3,0,6.85566,0.20587 --7.68521,0.846814,1.04222,1,3,0,7.81788,0.109156 --7.68521,0.758683,1.04222,1,3,0,10.7608,0.109156 --7.12187,1,1.04222,2,3,0,7.59129,0.153511 --6.80645,0.99664,1.04222,1,3,0,7.06408,0.208976 --6.75052,1,1.04222,1,3,0,6.79745,0.241242 --6.74982,0.98023,1.04222,2,3,0,6.87318,0.242561 --6.79793,0.992613,1.04222,2,3,0,6.80739,0.290804 --6.75031,1,1.04222,1,3,0,6.78725,0.25851 --6.89504,0.959571,1.04222,1,3,0,6.95638,0.186623 --6.79048,1,1.04222,1,1,0,6.87106,0.214806 --9.24283,0.672444,1.04222,2,3,0,9.32424,0.0542853 --6.74841,0.874709,1.04222,2,7,0,10.0124,0.246515 --8.38916,0.627002,1.04222,1,3,0,9.19617,0.0778217 --9.44634,0.911502,1.04222,1,1,0,9.45534,0.0500494 --9.3324,1,1.04222,1,1,0,9.72137,0.0523696 --8.7438,1,1.04222,1,1,0,9.38087,0.0667032 --8.3108,1,1.04222,1,1,0,8.80538,0.0806102 --7.89091,1,1.04222,1,1,0,8.33385,0.0982776 --7.55045,1,1.04222,1,1,0,7.89976,0.1174 --6.94568,0.9848,1.04222,1,3,0,7.44943,0.177388 --7.34161,0.94045,1.04222,1,3,0,7.34181,0.132595 --6.75286,0.972432,1.04222,1,3,0,7.45166,0.262425 --7.58163,0.818906,1.04222,1,3,0,7.64477,0.428937 --7.27568,0.739369,1.04222,1,3,0,8.88598,0.138206 --6.87717,0.919039,1.04222,2,3,0,7.90466,0.316803 --6.8761,0.951767,1.04222,1,3,0,7.15384,0.190555 --7.06557,0.98719,1.04222,2,3,0,7.06748,0.160169 --7.02895,1,1.04222,2,3,0,7.1092,0.164918 --7.39295,0.936434,1.04222,1,1,0,7.39562,0.12853 --6.88741,0.920572,1.04222,2,7,0,7.87415,0.319517 --6.74813,0.992645,1.04222,2,3,0,6.9317,0.251803 --6.75864,0.997143,1.04222,1,3,0,6.76212,0.232085 --6.97113,0.968931,1.04222,2,3,0,7.01964,0.33897 --6.99849,0.991376,1.04222,1,1,0,7.06057,0.344558 --6.78898,1,1.04222,2,3,0,6.95791,0.215411 --6.83464,0.979749,1.04222,1,3,0,6.93888,0.304264 --7.21164,0.85393,1.04222,1,3,0,7.6704,0.14415 --7.85202,0.904299,1.04222,1,1,0,7.85209,0.100199 --6.74808,0.958184,1.04222,1,3,0,8.0211,0.248666 --6.75161,0.999167,1.04222,1,3,0,6.75204,0.239512 --6.75161,0.308783,1.04222,2,7,0,11.0927,0.239512 --6.82503,0.886356,1.04222,2,3,0,7.49627,0.203208 --6.74803,0.999198,1.04222,1,3,0,6.82494,0.250361 --7.01097,0.933838,1.04222,1,3,0,7.09152,0.167394 --7.76364,0.897797,1.04222,1,3,0,7.78221,0.104791 --6.93355,0.865354,1.04222,2,3,0,9.10774,0.330748 --8.03516,0.5545,1.04222,1,3,0,9.42798,0.0916194 --6.88411,0.994052,1.04222,1,3,0,7.96828,0.188854 --7.41737,0.958273,1.04222,2,3,0,7.44606,0.409228 --6.75243,1,1.04222,1,3,0,7.37062,0.238389 --6.76327,0.997261,1.04222,1,1,0,6.7633,0.228606 --6.74913,0.938461,1.04222,2,3,0,7.14245,0.24415 --8.89435,0.527117,1.04222,1,3,0,10.0658,0.062611 --8.78474,1,1.04222,1,1,0,9.12902,0.0655571 --7.5019,0.939597,1.04222,1,3,0,8.643,0.120638 --7.84384,0.98444,1.04222,2,3,0,7.8938,0.100611 --7.06571,0.97463,1.04222,1,3,0,7.72453,0.160152 --7.69698,0.906263,1.04222,2,3,0,8.11961,0.108482 --7.57664,1,1.04222,2,3,0,7.79316,0.115716 --7.44499,1,1.04222,1,1,0,7.64886,0.124645 --6.83897,1,1.04222,2,3,0,7.28726,0.305655 --6.75861,1,1.04222,1,3,0,6.81689,0.268481 --6.83456,0.974126,1.04222,1,3,0,6.8966,0.20055 --7.2173,0.745473,1.04222,2,3,0,8.73385,0.143603 --6.89182,0.991717,1.04222,1,3,0,7.15232,0.18727 --6.75275,1,1.04222,1,3,0,6.87441,0.237976 --6.75008,0.981106,1.04222,2,3,0,6.86387,0.258086 --7.16561,0.89012,1.04222,1,3,0,7.3389,0.148781 --9.37595,0.769674,1.04222,1,3,0,9.77348,0.0514679 --6.79971,0.977287,1.04222,2,3,0,9.90039,0.211315 --6.75119,1,1.04222,2,3,0,6.79047,0.260033 --7.14627,0.908853,1.04222,1,3,0,7.17964,0.370838 --6.93873,1,1.04222,1,1,0,7.11052,0.331925 --6.83644,0.88788,1.04222,2,3,0,7.4917,0.304846 --6.83644,0.924825,1.04222,1,3,0,7.21665,0.304846 --7.13608,0.876535,1.04222,1,3,0,7.54446,0.151936 --8.96709,0.805984,1.04222,1,3,0,9.21879,0.0607483 --6.84478,0.980084,1.04222,1,3,0,9.19602,0.197874 --6.75296,0.95451,1.04222,2,3,0,7.22401,0.262552 --6.77644,0.99731,1.04222,2,3,0,6.77681,0.221017 --7.16218,0.925332,1.04222,1,3,0,7.2038,0.14914 --7.54003,0.93921,1.04222,1,1,0,7.55113,0.118082 --7.61997,0.996186,1.04222,2,3,0,7.74035,0.11302 --7.67887,0.991832,1.04222,1,1,0,7.81707,0.109522 --7.74186,0.991508,1.04222,1,1,0,7.88663,0.105974 --6.76837,0.993671,1.04222,1,3,0,7.76522,0.225366 --6.75555,0.943224,1.04222,2,3,0,7.16736,0.23487 --6.78133,0.99109,1.04222,1,3,0,6.8082,0.283151 --7.57853,0.765686,1.04222,1,3,0,8.14249,0.115596 --7.81694,0.967845,1.04222,1,1,0,7.8982,0.101983 --7.28284,1,1.04222,1,1,0,7.74183,0.137573 --6.85274,0.957507,1.04222,2,3,0,7.76304,0.309887 --6.85274,0.848532,1.04222,1,3,0,7.34478,0.309887 --6.83694,1,1.04222,1,1,0,6.87062,0.305006 --6.79287,0.983927,1.04222,1,3,0,6.9439,0.213864 --7.18629,0.928922,1.04222,1,3,0,7.21647,0.14666 --6.95635,1,1.04222,1,1,0,7.14808,0.17563 --7.12122,0.989443,1.04222,2,3,0,7.13434,0.153584 --7.31714,0.966342,1.04222,1,1,0,7.34827,0.134623 --7.58614,0.986384,1.04222,2,3,0,7.62916,0.115115 --7.15692,1,1.04222,1,1,0,7.52148,0.149694 --7.27124,0.980298,1.04222,1,1,0,7.32456,0.138601 --7.68646,0.937477,1.04222,1,1,0,7.70273,0.109084 --6.97417,0.981689,1.04222,1,3,0,7.57613,0.172811 --10.6201,0.463949,1.04222,2,3,0,12.383,0.0319846 --7.05605,1,1.04222,2,3,0,10.1882,0.161369 --6.74904,0.909508,1.04222,2,3,0,8.13427,0.255682 --6.7654,0.946588,1.04222,2,3,0,7.04304,0.227192 --6.98206,0.800583,1.04222,2,3,0,8.05273,0.171607 --7.4808,0.917946,1.04222,2,3,0,7.84263,0.122096 --6.86086,0.990749,1.04222,2,3,0,7.58931,0.193972 --8.23223,0.77569,1.04222,1,3,0,8.50081,0.0835473 --7.07192,0.971181,1.04222,1,3,0,8.11077,0.159381 --7.35884,0.950396,1.04222,1,1,0,7.37102,0.131203 --6.7672,0.960837,1.04222,1,3,0,7.5381,0.275 --6.76511,0.990796,1.04222,2,3,0,6.82292,0.27357 --6.77529,0.997138,1.04222,1,1,0,6.77823,0.279919 --6.8525,0.977845,1.04222,1,1,0,6.85314,0.309814 --6.83627,0.968319,1.04222,1,3,0,7.04654,0.20009 --6.75732,0.940878,1.04222,2,3,0,7.24356,0.267301 --7.28603,0.80471,1.04222,2,3,0,7.91889,0.391766 --10.3558,0.646361,1.04222,2,3,0,10.3657,0.631094 --8.44657,1,1.04222,2,3,0,10.0542,0.510511 --6.88436,0.955128,1.04222,1,3,0,8.7623,0.188802 --6.7594,0.889235,1.04222,2,3,0,7.71517,0.231464 --6.95504,0.959446,1.04222,1,3,0,6.97473,0.175842 --7.86566,0.881721,1.04222,1,3,0,7.92407,0.0995188 --7.42529,1,1.04222,1,1,0,7.82891,0.126089 --6.83777,1,1.04222,2,3,0,7.27233,0.305271 --6.83836,0.999824,1.04222,1,1,0,6.86404,0.30546 --6.83936,0.926271,1.04222,2,3,0,7.21469,0.305777 --6.82583,0.934693,1.04222,2,3,0,7.1742,0.301326 --7.03687,0.937441,1.04222,1,1,0,7.04028,0.351948 --9.38716,0.449617,1.04222,1,1,0,9.38716,0.576625 --8.40004,1,1.04222,1,1,0,9.4758,0.506764 --8.21637,1,1.04222,1,1,0,8.80161,0.491404 --7.63724,1,1.04222,1,1,0,8.23297,0.435182 --8.43986,0.755147,1.04222,1,1,0,8.63807,0.509974 --6.75014,1,1.04222,1,3,0,8.08284,0.258191 --6.74809,0.999935,1.04222,1,3,0,6.75043,0.248544 --7.49036,0.680666,1.04222,2,3,0,8.73441,0.121432 --7.2914,1,1.04222,1,1,0,7.51264,0.136824 --7.46174,0.973128,1.04222,1,1,0,7.5221,0.123441 --6.82122,0.949368,1.04222,2,3,0,8.04515,0.299728 --6.82122,0.764012,1.04222,1,3,0,7.93625,0.299728 --7.03213,0.877678,1.04222,2,3,0,7.53094,0.16449 --7.30923,0.950794,1.04222,1,1,0,7.31848,0.135292 --7.68384,0.944219,1.04222,1,1,0,7.70869,0.109234 --7.14103,1,1.04222,1,1,0,7.59471,0.151396 --7.71515,0.96993,1.04222,2,3,0,7.71522,0.107455 --8.1059,0.984026,1.04222,2,3,0,8.16755,0.0885971 --7.36897,1,1.04222,1,1,0,8.00102,0.130398 --7.05672,0.926537,1.04222,1,3,0,8.13424,0.355591 --7.06327,0.860511,1.04222,1,3,0,7.75923,0.160456 --7.06327,0.8979,1.04222,1,3,0,7.69575,0.160456 --6.77924,0.9267,1.04222,2,3,0,7.73805,0.282068 --9.16947,0.397504,1.04222,1,3,0,11.099,0.0559183 --6.84203,0.960149,1.04222,2,7,0,8.59675,0.306618 --6.84489,0.999714,1.04222,2,3,0,6.8714,0.307508 --6.75746,1,1.04222,1,3,0,6.82141,0.267426 --6.76238,0.999545,1.04222,2,3,0,6.76406,0.271573 --6.86593,0.96452,1.04222,1,3,0,6.95199,0.192807 --7.21785,0.971083,1.04222,2,3,0,7.22539,0.381917 --6.78924,0.853137,1.04222,2,3,0,7.94524,0.28698 --7.03022,0.844423,1.04222,2,3,0,7.69742,0.164746 --7.01319,1,1.04222,1,1,0,7.07996,0.167082 --7.05415,0.992109,1.04222,1,1,0,7.1007,0.161611 --6.85726,1,1.04222,2,3,0,7.01327,0.194817 --6.74806,0.998425,1.04222,1,3,0,6.85931,0.251086 --9.38415,0.543131,1.04222,1,3,0,9.63162,0.576437 --9.64896,0.971147,1.04222,2,3,0,10.5086,0.59246 --7.69369,1,1.04222,1,1,0,9.09941,0.441334 --6.78597,0.987925,1.04222,1,3,0,7.75901,0.216663 --6.83212,0.980101,1.04222,1,3,0,6.93046,0.303439 --7.41055,0.644106,1.04222,2,3,0,8.83631,0.408363 --6.99785,1,1.04222,1,1,0,7.30711,0.344431 --7.13081,0.958037,1.04222,1,1,0,7.18665,0.368328 --6.75003,0.983919,1.04222,2,3,0,7.23616,0.242142 --6.74853,1,1.04222,1,1,0,6.74964,0.246009 --7.20215,0.891163,1.04222,1,3,0,7.33897,0.145078 --7.20339,0.999784,1.04222,1,1,0,7.29597,0.144957 --6.76945,0.996908,1.04222,2,3,0,7.21898,0.224735 --6.82403,0.995241,1.04222,2,3,0,6.82425,0.300709 --6.96546,0.920921,1.04222,2,3,0,7.28832,0.174171 --7.46611,0.927053,1.04222,1,3,0,7.46873,0.12313 --6.92107,0.907562,1.04222,2,7,0,8.04276,0.327852 --7.38907,0.757367,1.04222,1,3,0,8.16308,0.128828 --6.81026,0.993951,1.04222,2,3,0,7.4433,0.20772 --6.80926,0.986744,1.04222,1,3,0,6.93353,0.295347 --6.80926,0.722145,1.04222,1,3,0,8.14557,0.295347 --6.91668,0.989436,1.04222,2,3,0,6.9218,0.32681 --6.95441,0.918013,1.04222,1,3,0,7.35469,0.175946 --6.95441,0.729061,1.04222,1,3,0,8.89133,0.175946 --7.70675,0.898132,1.04222,1,3,0,7.73684,0.107928 --7.65067,1,1.04222,2,3,0,7.84235,0.111174 --7.65067,0.892763,1.04222,1,1,0,8.46416,0.111174 --6.74877,0.983138,1.04222,2,3,0,7.79792,0.254863 --6.74848,0.999868,1.04222,1,3,0,6.7498,0.246248 --6.74848,0.93642,1.04222,1,3,0,7.01072,0.246248 --6.86613,0.977253,1.04222,2,3,0,6.9126,0.313759 --6.98429,0.964133,1.04222,1,1,0,7.00267,0.341695 --7.16758,0.942572,1.04222,1,1,0,7.21374,0.374226 --6.84373,1,1.04222,2,3,0,7.09421,0.198142 --7.83605,0.645689,1.04222,2,3,0,9.58994,0.101005 --7.88792,0.993465,1.04222,1,1,0,8.0567,0.0984234 --8.59419,0.923978,1.04222,1,1,0,8.61781,0.0711184 --9.03826,0.987473,1.04222,2,3,0,9.1599,0.0589929 --7.03248,0.984425,1.04222,1,3,0,9.0761,0.164444 --6.78965,0.99795,1.04222,1,3,0,6.98617,0.215139 --6.74814,0.999649,1.04222,2,3,0,6.79125,0.248091 --6.74814,0.980641,1.04222,2,3,0,6.85777,0.248063 --6.79739,0.987888,1.04222,1,3,0,6.8073,0.212159 --7.31062,0.907074,1.04222,1,3,0,7.36253,0.135174 --7.50889,0.969257,1.04222,1,1,0,7.56556,0.120163 --6.84733,1,1.04222,2,3,0,7.33637,0.308256 --6.77377,1,1.04222,1,1,0,6.8266,0.279055 --6.77377,0.968494,1.04222,1,1,0,6.85179,0.279055 --6.99281,0.967741,1.04222,2,3,0,6.99735,0.170004 --6.75528,1,1.04222,1,3,0,6.96907,0.235141 --7.89458,0.751628,1.04222,1,3,0,8.29283,0.0980992 --7.89458,0.928857,1.04222,1,1,0,8.50879,0.0980992 --13.6885,0.615718,1.04222,2,3,0,13.722,0.0107772 --12.0962,1,1.04222,1,1,0,13.6672,0.0187758 --7.6458,0.988514,1.04222,2,3,0,13.1384,0.111463 --7.87813,0.989857,1.04222,2,3,0,7.96887,0.0989031 --7.32937,1,1.04222,1,1,0,7.80442,0.133602 --7.10966,1,1.04222,1,1,0,7.31645,0.154897 --6.75693,0.998494,1.04222,2,3,0,7.11053,0.233564 --6.96796,0.769313,1.04222,2,3,0,8.36177,0.173778 --6.7761,0.99891,1.04222,1,3,0,6.93114,0.221184 --6.75333,0.941645,1.04222,2,3,0,7.19422,0.237265 --6.84206,0.982097,1.04222,2,3,0,6.88481,0.198569 --6.88204,0.991227,1.04222,1,1,0,6.8953,0.189287 --7.75432,0.804716,1.04222,1,3,0,8.25887,0.447747 --6.75124,1,1.04222,1,3,0,7.64251,0.240065 --6.77641,0.993894,1.04222,2,3,0,6.79581,0.221033 --7.14891,0.95114,1.04222,2,3,0,7.22644,0.371262 --7.86205,0.785278,1.04222,1,1,0,7.91665,0.458694 --8.91365,0.691297,1.04222,1,1,0,9.16325,0.545394 --7.34147,1,1.04222,1,1,0,8.43001,0.399354 --6.75505,1,1.04222,1,3,0,7.32109,0.235381 --6.91741,0.969902,1.04222,2,3,0,6.97899,0.182343 --9.04477,0.631485,1.04222,1,3,0,9.83652,0.554411 --7.42515,1,1.04222,2,3,0,8.68699,0.1261 --7.05617,1,1.04222,2,3,0,7.36376,0.161353 --7.30058,0.956905,1.04222,1,1,0,7.31603,0.136031 --6.77038,0.981102,1.04222,2,3,0,7.47523,0.277034 --7.17474,0.910308,1.04222,1,3,0,7.18476,0.375346 --8.32481,0.674645,1.04222,1,1,0,8.36484,0.500586 --7.6021,1,1.04222,1,1,0,8.26608,0.431258 --7.35257,0.702248,1.04222,1,3,0,9.08796,0.131707 --6.76334,0.879896,1.04222,2,3,0,8.8454,0.272295 --6.77762,0.991505,1.04222,1,3,0,6.81892,0.22044 --6.84759,0.993909,1.04222,2,3,0,6.84776,0.308335 --6.74808,0.997119,1.04222,2,3,0,6.86594,0.248599 --6.92946,0.955261,1.04222,1,3,0,6.96112,0.32981 --7.03099,0.886549,1.04222,1,3,0,7.51607,0.164644 --7.03099,0.97152,1.04222,1,1,0,7.18266,0.164644 --7.52059,0.928245,1.04222,1,3,0,7.52064,0.119373 --7.64902,0.951918,1.04222,2,3,0,8.41526,0.111272 --7.7375,0.842547,1.04222,1,3,0,9.56364,0.445987 --6.84652,1,1.04222,1,3,0,7.4553,0.308008 --7.16413,0.905753,1.04222,1,1,0,7.16738,0.373683 --7.91877,0.53246,1.04222,1,3,0,9.67645,0.0969359 --6.77218,1,1.04222,2,3,0,7.79076,0.22322 --7.30683,0.921712,1.04222,2,3,0,7.47743,0.394653 --7.12251,1,1.04222,1,1,0,7.33521,0.366961 --6.75575,0.946119,1.04222,2,3,0,7.44494,0.265754 --6.87662,0.962546,1.04222,1,3,0,6.95042,0.190443 --6.81681,1,1.04222,1,1,0,6.86869,0.205652 --8.72811,0.6467,1.04222,1,3,0,9.22905,0.532088 --6.90768,1,1.04222,2,3,0,8.94788,0.184161 --7.49303,0.917204,1.04222,1,3,0,7.51097,0.121248 --6.92142,0.895348,1.04222,2,3,0,8.3573,0.327935 --6.82595,0.968949,1.04222,1,3,0,7.11184,0.202943 --7.34255,0.917631,1.04222,2,3,0,7.54891,0.132519 --6.9387,0.988239,1.04222,1,3,0,7.26563,0.17857 --6.7487,0.999327,1.04222,1,3,0,6.93286,0.245401 --6.7494,0.987563,1.04222,2,3,0,6.82324,0.243479 --7.09141,0.705348,1.04222,2,3,0,8.74535,0.157025 --6.97634,1,1.04222,1,1,0,7.09282,0.172476 --6.9737,0.827374,1.04222,2,3,0,8.58015,0.172883 --6.79542,1,1.04222,2,3,0,6.92681,0.289735 --6.79542,0.651548,1.04222,1,3,0,8.54365,0.289735 --6.79542,0.73316,1.04222,1,3,0,8.06672,0.289735 --7.59208,0.681758,1.04222,2,3,0,8.57714,0.114743 --7.58483,1,1.04222,1,1,0,7.74195,0.115198 --7.19137,1,1.04222,2,3,0,7.53269,0.146149 --7.02896,1,1.04222,1,1,0,7.18492,0.164916 --7.06835,0.992483,1.04222,1,1,0,7.11827,0.159823 --6.87415,1,1.04222,1,1,0,7.02968,0.190979 --6.77924,0.969245,1.04222,2,3,0,7.11724,0.282063 --6.7582,1,1.04222,1,1,0,6.77379,0.268112 --6.81468,0.980019,1.04222,1,3,0,6.86628,0.206314 --6.75979,0.910412,1.04222,2,3,0,7.53886,0.231159 --6.76598,0.999487,1.04222,2,3,0,6.76774,0.226825 --6.75766,0.996189,1.04222,2,3,0,6.79507,0.267618 --7.30008,0.878373,1.04222,1,3,0,7.33103,0.393722 --6.97928,0.894702,1.04222,1,3,0,7.88137,0.172027 --6.80456,0.972517,1.04222,1,3,0,7.1513,0.293517 --7.07249,0.921926,1.04222,1,1,0,7.07258,0.358412 --7.38611,0.901392,1.04222,1,1,0,7.44672,0.405228 --6.77481,0.99908,1.04222,2,3,0,7.45054,0.221835 --6.77331,1,1.04222,1,1,0,6.78041,0.222615 --7.03112,0.952969,1.04222,2,3,0,7.14446,0.164626 --7.27588,0.901547,1.04222,1,3,0,7.92949,0.390338 --6.81925,1,1.04222,1,3,0,7.13466,0.299032 --6.88852,0.979436,1.04222,1,1,0,6.89902,0.319807 --6.74954,0.988468,1.04222,2,3,0,6.95685,0.256935 --7.17018,0.902552,1.04222,1,3,0,7.21223,0.374634 --6.75121,0.983559,1.04222,2,3,0,7.28094,0.24011 --6.83414,0.983722,1.04222,2,3,0,6.86942,0.200662 --6.80649,0.982784,1.04222,2,3,0,6.99067,0.294276 --6.75191,1,1.04222,1,3,0,6.79315,0.26113 --7.11522,0.916161,1.04222,1,3,0,7.14378,0.365749 --7.19427,0.974345,1.04222,1,1,0,7.29496,0.378359 --8.7022,0.595411,1.04222,1,1,0,8.73352,0.530175 --8.13398,1,1.04222,2,3,0,8.89204,0.48419 --7.04508,1,1.04222,1,1,0,7.78246,0.353468 --6.74806,1,1.04222,1,3,0,7.00609,0.251069 --6.84743,0.974426,1.04222,1,3,0,6.8755,0.197206 --7.01827,0.988094,1.04222,2,3,0,7.01909,0.166376 --7.36444,0.890273,1.04222,1,3,0,8.02438,0.402402 --6.85539,1,1.04222,1,1,0,7.20443,0.310669 --6.79695,0.981627,1.04222,1,3,0,6.97426,0.21232 --9.71514,0.475791,1.04222,2,3,0,11.1638,0.0450442 --8.63124,1,1.04222,1,1,0,9.64208,0.0699903 --6.86324,0.929453,1.04222,1,3,0,9.6708,0.312941 --6.83917,0.915935,1.04222,2,3,0,7.28692,0.305716 --6.75234,1,1.04222,2,3,0,6.83301,0.2385 --6.74828,0.991834,1.04222,2,3,0,6.80269,0.252869 --6.74828,0.67839,1.04222,1,3,0,8.067,0.252869 --6.95773,0.949577,1.04222,1,3,0,6.9851,0.336116 --7.61055,0.8073,1.04222,1,1,0,7.62234,0.432208 --7.30317,1,1.04222,1,1,0,7.6408,0.394149 --7.36285,0.980072,1.04222,1,1,0,7.52904,0.402192 --6.74804,1,1.04222,1,3,0,7.27108,0.250656 --6.74935,0.97539,1.04222,2,3,0,6.88568,0.243601 --7.19515,0.894131,1.04222,1,3,0,7.27592,0.378493 --7.48744,0.906292,1.04222,1,1,0,7.58864,0.417885 --6.95958,1,1.04222,1,1,0,7.33173,0.336515 --6.8186,0.896547,1.04222,2,3,0,7.47112,0.298798 --7.76878,0.838408,1.04222,2,3,0,7.77388,0.104515 --6.83123,0.910435,1.04222,1,3,0,8.27998,0.303142 --6.79658,0.957265,1.04222,2,3,0,7.05772,0.290231 --7.24425,0.903405,1.04222,1,3,0,7.24659,0.385804 --6.87469,1,1.04222,1,1,0,7.13348,0.316129 --7.08292,0.875026,1.04222,2,3,0,7.52736,0.158041 --7.12503,0.992239,1.04222,1,1,0,7.18412,0.153158 --7.42634,0.949671,1.04222,1,1,0,7.44232,0.126011 --7.01591,1,1.04222,2,3,0,7.35251,0.166703 --6.79544,0.945038,1.04222,2,3,0,7.48286,0.289743 --7.57069,0.551763,1.04222,2,3,0,9.82666,0.116095 --6.78191,0.864634,1.04222,2,3,0,9.36597,0.283445 --6.75945,0.995834,1.04222,1,3,0,6.81128,0.231426 --6.74845,0.972157,1.04222,2,3,0,6.94087,0.246351 --6.74872,0.996468,1.04222,2,3,0,6.7689,0.254675 --6.75077,0.999212,1.04222,1,3,0,6.75328,0.240811 --6.75141,0.996891,1.04222,2,3,0,6.77091,0.260375 --7.21887,0.875028,1.04222,1,3,0,7.4279,0.143452 --6.90165,0.991459,1.04222,1,3,0,7.15572,0.185321 --6.8351,1,1.04222,1,1,0,6.89473,0.200402 --6.78708,0.876083,1.04222,2,3,0,7.74993,0.216193 --7.37361,0.922098,1.04222,2,3,0,7.52946,0.403604 --6.96797,1,1.04222,1,1,0,7.26616,0.338303 --6.96797,0.674307,1.04222,1,3,0,8.67351,0.338303 --7.54849,0.826666,1.04222,1,1,0,7.56487,0.42512 --7.04936,0.859834,1.04222,1,3,0,8.32194,0.162226 --7.72812,0.905765,1.04222,1,3,0,7.73485,0.106732 --6.81077,1,1.04222,2,3,0,7.49986,0.295921 --6.77486,1,1.04222,1,1,0,6.80311,0.279675 --7.45005,0.586171,1.04222,2,3,0,9.53012,0.124279 --7.82316,0.931816,1.04222,2,3,0,8.51885,0.101663 --8.22402,0.953197,1.04222,1,1,0,8.29366,0.0838628 --7.77638,1,1.04222,1,1,0,8.22568,0.104109 --7.07229,0.912942,1.04222,1,3,0,8.77694,0.358376 --7.52843,0.859088,1.04222,1,1,0,7.57788,0.422772 --7.15935,0.798755,1.04222,1,3,0,8.55506,0.149437 --6.74803,0.991091,1.04222,1,3,0,7.18291,0.249381 --6.7536,0.998552,1.04222,1,3,0,6.75496,0.263352 --6.78195,0.968835,1.04222,2,3,0,6.93165,0.218416 --6.74818,1,1.04222,1,3,0,6.77924,0.247807 --7.13458,0.908088,1.04222,1,3,0,7.1953,0.368945 --7.17007,0.988401,1.04222,1,1,0,7.28371,0.374617 --6.97952,0.894729,1.04222,1,3,0,7.73045,0.171991 --6.7606,0.98524,1.04222,1,3,0,7.04987,0.270169 --6.75038,0.998165,1.04222,2,3,0,6.77302,0.258652 --6.83466,0.975636,1.04222,2,3,0,6.90356,0.304271 --6.83444,0.969798,1.04222,1,3,0,7.01927,0.200581 --8.00133,0.857983,1.04222,2,3,0,8.37393,0.4721 --8.23375,0.973855,1.04222,2,3,0,8.61807,0.492898 --6.81751,1,1.04222,1,3,0,7.8052,0.298409 --6.93285,0.935254,1.04222,2,3,0,7.20061,0.17958 --6.88847,0.969157,1.04222,1,3,0,7.23222,0.319795 --6.75258,0.997054,1.04222,1,3,0,6.90214,0.238195 --8.17989,0.630858,1.04222,2,3,0,9.34424,0.488236 --8.22046,0.98583,1.04222,1,1,0,8.6939,0.491756 --8.18553,1,1.04222,1,1,0,8.68441,0.488728 --6.97015,1,1.04222,1,1,0,7.7834,0.338764 --6.79521,0.917513,1.04222,2,3,0,7.38701,0.289646 --6.74842,0.999599,1.04222,1,3,0,6.79559,0.246504 --6.96912,0.945504,1.04222,1,3,0,7.01101,0.338547 --6.94544,1,1.04222,2,3,0,7.01627,0.333425 --6.76486,0.99019,1.04222,1,3,0,6.99653,0.227541 --6.77113,0.994815,1.04222,1,3,0,6.80876,0.277494 --7.55889,0.82936,1.04222,1,3,0,7.58742,0.426325 --7.29143,1,1.04222,1,1,0,7.60344,0.39252 --7.45883,0.944895,1.04222,1,1,0,7.60623,0.414399 --6.85249,1,1.04222,1,1,0,7.26684,0.309811 --6.88441,0.990366,1.04222,1,1,0,6.90907,0.318733 --6.88441,0.390987,1.04222,1,3,0,10.0704,0.318733 --7.18698,0.908774,1.04222,1,1,0,7.19761,0.377241 --7.13234,1,1.04222,2,3,0,7.27892,0.368579 --6.75589,0.996933,1.04222,1,3,0,7.14075,0.234546 --6.77666,0.998179,1.04222,2,3,0,6.77673,0.280677 --8.05962,0.736603,1.04222,1,3,0,8.10684,0.477488 --7.43189,1,1.04222,1,1,0,7.98879,0.411056 --8.89616,0.600449,1.04222,1,1,0,8.98669,0.544167 --6.74855,1,1.04222,1,3,0,8.51084,0.245959 --6.77191,0.993618,1.04222,1,3,0,6.77997,0.277963 --8.28578,0.69719,1.04222,1,3,0,8.35107,0.49732 --8.28578,0.393482,1.04222,1,1,0,10.3186,0.49732 --7.34195,1,1.04222,1,1,0,8.05467,0.399419 --6.87936,1,1.04222,1,1,0,7.19892,0.317391 --6.87936,0.723163,1.04222,1,3,0,8.05415,0.317391 --6.98096,0.912105,1.04222,1,3,0,7.34821,0.171773 --7.09862,0.977456,1.04222,1,1,0,7.12269,0.156176 --7.04001,0.973423,1.04222,2,3,0,7.491,0.163445 --6.75055,0.98907,1.04222,1,3,0,7.08018,0.258955 --7.64328,0.654573,1.04222,2,3,0,8.86532,0.111613 --7.64328,0.934393,1.04222,1,1,0,8.13861,0.111613 --7.84625,0.973196,1.04222,1,1,0,7.9444,0.10049 --6.81886,1,1.04222,2,3,0,7.58881,0.298894 --6.75306,0.997071,1.04222,1,3,0,6.83565,0.237596 --6.80361,0.902714,1.04222,2,3,0,7.39496,0.209943 --6.74804,0.999742,1.04222,1,3,0,6.80193,0.249305 --6.81136,0.892469,1.04222,2,3,0,7.36207,0.207365 --6.781,1,1.04222,1,1,0,6.807,0.218851 --6.76429,0.993237,1.04222,2,3,0,6.83189,0.272985 --6.77607,0.998897,1.04222,2,3,0,6.77859,0.280353 --6.89639,0.98469,1.04222,2,3,0,6.89694,0.186354 --6.74811,1,1.04222,2,3,0,6.88935,0.248334 --8.53509,0.596879,1.04222,2,3,0,9.46864,0.0729687 --7.01532,0.907913,1.04222,2,3,0,10.2209,0.166785 --6.86108,1,1.04222,1,1,0,6.98552,0.193919 --8.6214,0.783787,1.04222,2,3,0,8.80577,0.0702876 --8.21533,1,1.04222,1,1,0,8.68296,0.0841985 --8.9582,0.930521,1.04222,1,1,0,8.99443,0.0609723 --8.46631,1,1.04222,1,1,0,9.01437,0.0752034 --6.83143,1,1.04222,2,3,0,8.05818,0.303209 --6.80224,1,1.04222,1,1,0,6.83329,0.292586 --6.85642,0.984101,1.04222,1,1,0,6.86401,0.310973 --7.41356,0.926187,1.04222,2,3,0,7.414,0.408744 --6.80426,1,1.04222,2,3,0,7.39814,0.209718 --6.80208,1,1.04222,1,1,0,6.81638,0.210476 --6.76614,1,1.04222,1,1,0,6.79365,0.226726 --6.88949,0.98592,1.04222,2,3,0,6.89978,0.320059 --6.95292,0.921325,1.04222,1,3,0,7.31269,0.176189 --7.01849,0.943539,1.04222,1,3,0,7.45408,0.34847 --6.86076,1,1.04222,1,1,0,6.98332,0.312233 --6.86076,0.908146,1.04222,1,1,0,7.07769,0.312233 --10.1145,0.487011,1.04222,2,7,0,10.1321,0.0386484 --8.89466,1,1.04222,1,1,0,10.0364,0.062603 --6.78933,1,1.04222,2,3,0,8.39429,0.287022 --6.82522,0.955534,1.04222,2,3,0,7.02843,0.301119 --6.89249,0.993321,1.04222,2,3,0,6.90478,0.320832 --7.84405,0.734165,1.04222,1,1,0,7.84408,0.456902 --7.84405,0.305136,1.04222,1,3,0,13.6434,0.456902 --7.84405,0.364986,1.04222,1,1,0,9.86557,0.456902 --7.13188,1,1.04222,1,1,0,7.65319,0.368503 --7.41825,0.908861,1.04222,1,1,0,7.49981,0.409339 --6.95483,0.646287,1.04222,2,3,0,9.32879,0.335489 --7.92481,0.871983,1.04222,2,3,0,7.92895,0.464832 --8.41678,0.841237,1.04222,1,1,0,8.74304,0.508119 --7.24721,1,1.04222,1,1,0,8.07089,0.386234 --6.74803,1,1.04222,1,3,0,7.17619,0.250616 --7.21107,0.878202,1.04222,2,3,0,7.55282,0.380903 --7.16189,1,1.04222,1,1,0,7.31532,0.373329 --7.8034,0.804591,1.04222,1,1,0,7.866,0.452802 --6.78712,0.991151,1.04222,1,3,0,7.86013,0.216179 --6.80894,0.870724,1.04222,2,3,0,7.67884,0.20815 --7.34861,0.714839,1.04222,2,3,0,8.86583,0.132026 --6.85343,0.957437,1.04222,2,3,0,7.84717,0.310091 --7.21578,0.851243,1.04222,1,3,0,7.71672,0.143749 --6.77393,0.900218,1.04222,2,3,0,8.26728,0.279144 --6.87001,0.988954,1.04222,2,3,0,6.87015,0.314843 --6.76176,1,1.04222,2,3,0,6.85231,0.229675 --6.95536,0.947548,1.04222,1,3,0,7.04263,0.335604 --6.95536,0.61556,1.04222,1,3,0,9.01805,0.335604 --8.3466,0.629397,1.04222,1,1,0,8.34695,0.502391 --9.39739,0.897578,1.04222,2,3,0,9.80622,0.577261 --7.73132,1,1.04222,2,7,0,8.98465,0.106555 --6.77324,1,1.04222,2,3,0,7.51277,0.278746 --6.79597,0.959847,1.04222,2,3,0,6.99036,0.212687 --6.76161,1,1.04222,1,1,0,6.7876,0.229783 --6.93086,0.97746,1.04222,2,3,0,6.95802,0.330133 --7.18695,0.675147,1.04222,2,3,0,8.69157,0.377237 --8.59624,0.359449,1.04222,1,3,0,11.2076,0.0710553 --8.32565,1,1.04222,1,1,0,8.71908,0.080071 --8.54198,0.978694,1.04222,1,1,0,8.70842,0.0727495 --7.18966,0.88513,1.04222,1,3,0,10.2196,0.377653 --7.00529,0.881433,1.04222,1,3,0,7.80925,0.168197 --6.84462,1,1.04222,1,1,0,6.97198,0.197915 --7.04094,0.9591,1.04222,1,1,0,7.04104,0.163321 --7.2163,0.968221,1.04222,1,1,0,7.23968,0.143699 --7.06629,1,1.04222,1,1,0,7.2205,0.160079 --6.8501,1,1.04222,1,1,0,7.02068,0.196544 --7.03942,0.789889,1.04222,2,3,0,8.46072,0.163522 --6.76799,0.926071,1.04222,2,3,0,7.75381,0.275518 --6.74827,0.999008,1.04222,2,3,0,6.77406,0.252784 --6.74965,0.999549,1.04222,2,3,0,6.75127,0.257172 +# 0.444866 +-9.3487087,0.49624245,1.0337943,1,1,0,9.4030212,0.57421926 +-6.7582697,1,1.0337943,1,3,0,8.6886736,0.26817347 +-7.1681487,0.88280285,1.0337943,1,3,0,7.3838385,0.14851706 +-7.0636178,1,1.0337943,1,1,0,7.1900138,0.16041293 +-7.5124379,0.92362496,1.0337943,1,1,0,7.5135873,0.11992241 +-6.8658787,0.9901729,1.0337943,2,3,0,7.6278912,0.19281843 +-6.9455165,0.98294105,1.0337943,1,1,0,6.9570896,0.17741593 +-6.7490886,0.93117787,1.0337943,2,3,0,7.6428896,0.25580356 +-6.9732381,0.94636091,1.0337943,1,3,0,6.9959373,0.33941033 +-7.6128532,0.80799287,1.0337943,1,1,0,7.6296513,0.43246678 +-6.9686636,0.89579057,1.0337943,1,3,0,8.1734071,0.17366703 +-6.763701,1,1.0337943,1,3,0,6.9352281,0.22831204 +-6.7701084,0.99840017,1.0337943,1,1,0,6.7727986,0.22436156 +-6.7619239,0.9046887,1.0337943,2,3,0,7.3821685,0.22955291 +-6.7505706,0.99999255,1.0337943,1,3,0,6.7590304,0.24114681 +-6.7505706,0.39766584,1.0337943,1,3,0,10.036768,0.24114681 +-8.3354734,0.68432781,1.0337943,1,3,0,8.5344071,0.50147127 +-6.8020393,0.61326263,1.0337943,2,3,0,10.386075,0.2925035 +-6.7905357,0.96674199,1.0337943,2,3,0,6.9772723,0.28757281 +-6.7502854,0.99855885,1.0337943,1,3,0,6.7978305,0.24165284 +-7.1693684,0.89891359,1.0337943,1,3,0,7.249209,0.37450665 +-6.7769445,0.98456724,1.0337943,1,3,0,7.2418351,0.22076914 +-6.8324909,0.98678774,1.0337943,1,1,0,6.8329676,0.20111192 +-6.7565062,0.99378265,1.0337943,1,3,0,6.864107,0.26651374 +-6.9250174,0.96151021,1.0337943,1,3,0,6.930767,0.3287784 +-6.9250174,0.76118063,1.0337943,1,1,0,7.4798673,0.3287784 +-6.8541841,1,1.0337943,1,1,0,6.9236392,0.31031477 +-7.5379999,0.88568871,1.0337943,2,3,0,7.5388759,0.11821593 +-6.8758062,0.91725294,1.0337943,1,3,0,8.0346167,0.31643287 +-6.8758062,0.62982847,1.0337943,1,3,0,8.473358,0.31643287 +-6.9855011,0.91211404,1.0337943,1,3,0,7.3424719,0.17108833 +-7.0331438,0.94160117,1.0337943,1,3,0,7.5130911,0.35125038 +-6.8785976,0.95748117,1.0337943,2,3,0,7.3439973,0.19001824 +-6.9333794,0.9960925,1.0337943,2,3,0,6.9514872,0.17948837 +-7.2034273,0.91386977,1.0337943,1,3,0,7.6602496,0.37975105 +-7.8585238,0.79766702,1.0337943,1,1,0,7.9356093,0.45834405 +-7.1547646,1,1.0337943,1,1,0,7.6765371,0.37219841 +-7.1685928,0.99539644,1.0337943,1,1,0,7.2941146,0.374385 +-6.8959998,1,1.0337943,1,1,0,7.0968424,0.32172581 +-6.9019834,0.99813709,1.0337943,1,1,0,6.9449022,0.32322895 +-6.9019834,0.83469963,1.0337943,1,3,0,7.7087875,0.32322895 +-6.7901962,0.98207494,1.0337943,1,3,0,7.0093318,0.21491956 +-6.7676721,1,1.0337943,1,1,0,6.7860863,0.22578206 +-6.9714512,0.94397461,1.0337943,1,3,0,7.0729734,0.33903623 +-6.9714512,0.9320035,1.0337943,1,1,0,7.1572437,0.33903623 +-7.0218387,0.88709268,1.0337943,1,3,0,7.5483023,0.16588483 +-6.8518773,0.98441906,1.0337943,2,3,0,7.2002965,0.19610924 +-7.0329916,0.961914,1.0337943,1,1,0,7.0338773,0.16437513 +-7.377296,0.97967964,1.0337943,2,3,0,7.381856,0.12974327 +-8.3078655,0.87737456,1.0337943,1,3,0,8.3101402,0.080717149 +-8.5892187,0.97211981,1.0337943,1,1,0,8.7372457,0.071271718 +-6.7760844,0.95151265,1.0337943,1,3,0,8.8102349,0.22119434 +-6.7760844,0.83241972,1.0337943,1,3,0,7.537472,0.22119434 +-6.8412035,0.97694426,1.0337943,1,3,0,6.9240971,0.30636019 +-6.7807321,1,1.0337943,1,1,0,6.8257524,0.28284184 +-6.8957252,0.9663882,1.0337943,1,1,0,6.8961531,0.32165616 +-6.7481598,1,1.0337943,1,3,0,6.8750148,0.25208075 +-7.3566725,0.84890442,1.0337943,1,3,0,7.5820223,0.13137659 +-7.242731,1,1.0337943,1,1,0,7.4058522,0.14119775 +-8.1189338,0.88326697,1.0337943,1,3,0,8.1241249,0.088056141 +-7.4122578,0.9777675,1.0337943,2,3,0,8.6443154,0.12706194 +-6.7484704,0.97600022,1.0337943,1,3,0,7.486633,0.25375704 +-7.2026441,0.88435829,1.0337943,1,3,0,7.367568,0.14503 +-7.6857261,0.97487126,1.0337943,2,3,0,7.6918469,0.10912604 +-7.1480154,1,1.0337943,1,1,0,7.5972192,0.15064227 +-7.4309361,0.95256308,1.0337943,1,1,0,7.4528818,0.12567206 +-7.3820542,1,1.0337943,1,1,0,7.5318153,0.12937201 +-7.0532106,1,1.0337943,1,1,0,7.3298842,0.16173073 +-7.0532106,0.91795311,1.0337943,1,1,0,7.4496628,0.16173073 +-9.4627924,0.61656213,1.0337943,1,3,0,10.575095,0.58129523 +-7.5684859,1,1.0337943,1,1,0,8.9032302,0.42743105 +-6.9407164,1,1.0337943,2,3,0,7.3716293,0.33237148 +-6.7563657,1,1.0337943,1,3,0,6.8944279,0.26637464 +-7.9878346,0.79903558,1.0337943,2,3,0,8.0286324,0.093727207 +-7.4854308,1,1.0337943,1,1,0,7.9421398,0.12177374 +-6.7499624,0.90095844,1.0337943,2,3,0,8.5274357,0.24226697 +-6.8400161,0.9759825,1.0337943,1,3,0,6.8674896,0.30598599 +-6.771446,1,1.0337943,1,1,0,6.8205124,0.27768304 +-6.7854995,0.99595785,1.0337943,1,1,0,6.7897012,0.28521603 +-6.7854995,0.83030199,1.0337943,1,3,0,7.5430123,0.28521603 +-6.9301834,0.90950234,1.0337943,2,3,0,7.2973492,0.18004752 +-6.9301834,0.91707665,1.0337943,1,3,0,7.4121525,0.18004752 +-7.4201004,0.92812749,1.0337943,1,3,0,7.4244206,0.12647487 +-6.7628952,0.95913505,1.0337943,1,3,0,7.5868551,0.27196056 +-6.9061497,0.9684051,1.0337943,1,3,0,6.9077164,0.32425971 +-7.1308002,0.93042536,1.0337943,1,1,0,7.1522102,0.36832651 +-7.5746611,0.65099229,1.0337943,1,3,0,8.8711064,0.11584191 +-7.5667498,1,1.0337943,1,1,0,7.7235948,0.11634714 +-6.8465561,1,1.0337943,2,3,0,7.3776747,0.30802013 +-7.1301115,0.9145114,1.0337943,1,1,0,7.1349342,0.36821361 +-6.7495787,1,1.0337943,1,3,0,7.0581257,0.2570183 +-6.9344883,0.95586279,1.0337943,1,3,0,6.9513789,0.33096278 +-6.7574005,0.96977661,1.0337943,2,3,0,7.113276,0.2673745 +-7.9557844,0.55054685,1.0337943,2,3,0,9.5521449,0.4678017 +-8.3187808,0.87875614,1.0337943,1,1,0,8.6775687,0.50008454 +-8.1932634,1,1.0337943,1,1,0,8.7470563,0.48940166 +-6.7862002,1,1.0337943,1,3,0,8.1722321,0.2165642 +-6.9629079,0.94757013,1.0337943,1,3,0,7.1001884,0.33722835 +-6.9256527,0.79301276,1.0337943,2,3,0,7.9850941,0.32892657 +-6.9371094,0.92550103,1.0337943,1,3,0,7.3260932,0.17884301 # -# Elapsed Time: 0.011222 seconds (Warm-up) -# 0.025649 seconds (Sampling) -# 0.036871 seconds (Total) +# Elapsed Time: 0.001 seconds (Warm-up) +# 0 seconds (Sampling) +# 0.001 seconds (Total) # diff --git a/test/data/runset-bad/bad-draws-bern-3_config.json b/test/data/runset-bad/bad-draws-bern-3_config.json new file mode 100644 index 00000000..fa5c0007 --- /dev/null +++ b/test/data/runset-bad/bad-draws-bern-3_config.json @@ -0,0 +1,66 @@ + +{ + "stan_major_version" : "2", + "stan_minor_version" : "37", + "stan_patch_version" : "0", + "model_name" : "bernoulli_model", + "start_datetime" : "2026-07-20 16:58:36 UTC", + "method" : { + "value" : "sample", + "sample" : { + "num_samples" : 100, + "num_warmup" : 1000, + "save_warmup" : false, + "thin" : 1, + "adapt" : { + "engaged" : true, + "gamma" : 0.05, + "delta" : 0.8, + "kappa" : 0.75, + "t0" : 10, + "init_buffer" : 75, + "term_buffer" : 50, + "window" : 25, + "save_metric" : true + }, + "algorithm" : { + "value" : "hmc", + "hmc" : { + "engine" : { + "value" : "nuts", + "nuts" : { + "max_depth" : 10 + } + }, + "metric" : { + "value" : "diag_e" + }, + "metric_file" : "", + "stepsize" : 1, + "stepsize_jitter" : 0 + } + }, + "num_chains" : 1 + } + }, + "id" : 3, + "data" : { + "file" : "test\/data\/bernoulli.data.json" + }, + "init" : "2", + "random" : { + "seed" : 12345 + }, + "output" : { + "file" : "\/tmp\/tmpuisjazeu\/bernoullik799pfr2\/bernoulli-20260720125836_3.csv", + "diagnostic_file" : "", + "refresh" : 100, + "sig_figs" : 8, + "profile_file" : "profile.csv", + "save_cmdstan_config" : true + }, + "num_threads" : 1, + "mpi_enabled" : false, + "stanc_version" : "stanc3 v2.37.0", + "stancflags" : "--filename-in-msg=bernoulli.stan" +} diff --git a/test/data/runset-bad/bad-draws-bern-4.csv b/test/data/runset-bad/bad-draws-bern-4.csv index d18b6c97..82a6195d 100644 --- a/test/data/runset-bad/bad-draws-bern-4.csv +++ b/test/data/runset-bad/bad-draws-bern-4.csv @@ -1,22 +1,24 @@ # stan_version_major = 2 -# stan_version_minor = 19 -# stan_version_patch = 1 +# stan_version_minor = 37 +# stan_version_patch = 0 # model = bernoulli_model +# start_datetime = 2026-07-20 16:58:36 UTC # method = sample (Default) # sample -# num_samples = 1000 (Default) +# num_samples = 100 # num_warmup = 1000 (Default) -# save_warmup = 0 (Default) +# save_warmup = false (Default) # thin = 1 (Default) # adapt -# engaged = 1 (Default) -# gamma = 0.050000000000000003 (Default) -# delta = 0.80000000000000004 (Default) +# engaged = true (Default) +# gamma = 0.05 (Default) +# delta = 0.8 (Default) # kappa = 0.75 (Default) # t0 = 10 (Default) # init_buffer = 75 (Default) # term_buffer = 50 (Default) # window = 25 (Default) +# save_metric = true # algorithm = hmc (Default) # hmc # engine = nuts (Default) @@ -26,1011 +28,118 @@ # metric_file = (Default) # stepsize = 1 (Default) # stepsize_jitter = 0 (Default) +# num_chains = 1 (Default) # id = 4 # data -# file = /Users/mitzi/github/stan-dev/cmdstanpy/test/files-data/bernoulli.data.R +# file = test/data/bernoulli.data.json # init = 2 (Default) # random -# seed = 73255 +# seed = 12345 # output -# file = /Users/mitzi/github/stan-dev/cmdstanpy/test/files-tmp/bernoulli.output-4.csv +# file = /tmp/tmpuisjazeu/bernoullik799pfr2/bernoulli-20260720125836_4.csv # diagnostic_file = (Default) # refresh = 100 (Default) +# sig_figs = 8 (Default) +# profile_file = profile.csv (Default) +# save_cmdstan_config = true +# num_threads = 1 (Default) +# stanc_version = stanc3 v2.37.0 +# stancflags = --filename-in-msg=bernoulli.stan lp__,accept_stat__,stepsize__,treedepth__,n_leapfrog__,divergent__,energy__,theta # Adaptation terminated -# Step size = 0.730383 +# Step size = 1.14675 # Diagonal elements of inverse mass matrix: -# 0.508248 --7.00518,1,0.730383,2,3,0,7.26237,0.345882 --6.76715,0.968283,0.730383,1,3,0,7.334,0.226096 --7.44199,0.932693,0.730383,2,3,0,7.44227,0.124863 --7.66206,0.993806,0.730383,2,3,0,7.67649,0.110501 --7.02095,1,0.730383,2,3,0,7.67955,0.166007 --6.83799,0.9991,0.730383,3,7,0,7.03648,0.199633 --6.92712,0.995927,0.730383,3,7,0,6.92835,0.329269 --7.01447,0.868171,0.730383,1,3,0,8.0826,0.166904 --7.08411,0.992302,0.730383,1,1,0,7.097,0.157897 --7.20912,0.984279,0.730383,2,3,0,7.39679,0.144396 --7.18256,0.999767,0.730383,3,7,0,7.25833,0.376561 --6.87017,0.903807,0.730383,1,3,0,8.16906,0.191854 --7.25136,0.922572,0.730383,2,3,0,7.73273,0.140401 --8.3839,0.928195,0.730383,2,3,0,8.47644,0.0780045 --8.23755,0.996888,0.730383,3,7,0,8.46572,0.493224 --8.15306,1,0.730383,1,1,0,8.46779,0.485879 --8.66376,0.96714,0.730383,2,3,0,8.81383,0.527311 --9.32671,0.87504,0.730383,1,1,0,9.54129,0.572834 --8.12332,1,0.730383,3,7,0,9.14795,0.0878751 --7.78358,1,0.730383,1,1,0,8.11094,0.103727 --6.76015,0.987968,0.730383,3,7,0,7.94359,0.230881 --10.0111,0.792715,0.730383,2,3,0,10.0773,0.612943 --8.58179,1,0.730383,3,7,0,9.81054,0.521099 --8.28906,1,0.730383,1,1,0,8.74429,0.497596 --8.04581,1,0.730383,1,1,0,8.42521,0.476223 --7.75267,1,0.730383,3,7,0,8.10437,0.447575 --7.9329,0.964291,0.730383,1,1,0,8.07547,0.465611 --8.66887,0.861192,0.730383,1,1,0,8.74493,0.527694 --6.75192,1,0.730383,2,3,0,8.45384,0.261148 --6.95292,0.945577,0.730383,1,3,0,7.22245,0.176189 --6.90664,0.995574,0.730383,3,7,0,7.03833,0.324381 --7.23521,0.785803,0.730383,1,3,0,8.69605,0.1419 --6.88181,0.951099,0.730383,3,7,0,8.08779,0.318043 --6.78393,0.997714,0.730383,3,7,0,6.9121,0.284453 --6.77787,0.983775,0.730383,1,3,0,6.93623,0.22032 --6.88135,0.965692,0.730383,1,3,0,7.1618,0.317922 --6.786,0.804613,0.730383,3,7,0,8.77746,0.216647 --6.74946,0.996118,0.730383,1,3,0,6.83183,0.256735 --6.83399,0.991634,0.730383,2,3,0,6.83742,0.304053 --7.85599,0.888141,0.730383,2,3,0,8.08549,0.458092 --7.89547,0.998865,0.730383,3,7,0,8.09531,0.461983 --8.57896,0.798699,0.730383,2,5,0,9.80558,0.0715894 --8.55767,1,0.730383,1,1,0,8.72266,0.0722543 --6.78525,0.9882,0.730383,3,7,0,8.69854,0.285096 --6.81916,0.993618,0.730383,2,3,0,6.86074,0.299 --7.05549,0.881614,0.730383,1,3,0,7.83805,0.16144 --6.96485,1,0.730383,1,1,0,7.05015,0.174267 --6.97113,0.928163,0.730383,1,3,0,7.98934,0.338969 --6.79315,0.956791,0.730383,1,3,0,7.40407,0.213759 --6.81335,0.981571,0.730383,2,3,0,6.99787,0.206731 --7.82439,0.871177,0.730383,2,5,0,8.47377,0.1016 --7.02383,0.829058,0.730383,1,3,0,10.62,0.349491 --7.14269,0.978017,0.730383,1,1,0,7.1632,0.370262 --6.91929,0.878673,0.730383,1,3,0,8.28686,0.181998 --6.74814,0.989824,0.730383,1,3,0,7.06035,0.251951 --7.40478,0.942941,0.730383,3,7,0,7.42046,0.407627 --7.28656,0.675472,0.730383,1,3,0,10.3134,0.137247 --7.32594,0.998057,0.730383,3,7,0,7.37111,0.133887 --8.65439,0.917907,0.730383,2,3,0,8.73883,0.0692972 --8.53219,1,0.730383,2,3,0,8.75141,0.0730611 --8.01693,1,0.730383,1,1,0,8.50137,0.0924229 --8.22746,0.995424,0.730383,2,3,0,8.27596,0.0837305 --8.06125,1,0.730383,1,1,0,8.28011,0.0904875 --8.48099,0.974006,0.730383,1,1,0,8.49177,0.0747188 --8.35344,1,0.730383,1,1,0,8.56594,0.0790758 --7.2577,0.968115,0.730383,2,5,0,8.76898,0.387747 --7.19273,1,0.730383,2,3,0,7.30721,0.378124 --7.08157,0.793076,0.730383,1,3,0,9.01833,0.158204 --6.93853,1,0.730383,1,1,0,7.06506,0.1786 --6.7482,0.9903,0.730383,1,3,0,7.07111,0.247637 --7.37307,0.928154,0.730383,3,7,0,7.57809,0.130075 --7.2127,1,0.730383,1,1,0,7.36842,0.144048 --6.96423,0.965997,0.730383,2,3,0,7.77912,0.174366 --6.88429,0.942797,0.730383,1,3,0,7.74579,0.318702 --6.75213,0.951353,0.730383,2,3,0,7.34079,0.261441 --7.11978,0.902777,0.730383,1,3,0,7.60028,0.153746 --7.27024,0.984712,0.730383,1,1,0,7.27697,0.138691 --7.59284,0.987678,0.730383,3,7,0,7.59347,0.114695 --7.74858,0.987611,0.730383,1,1,0,7.78583,0.105607 --6.99241,1,0.730383,2,3,0,7.73131,0.170063 --6.74911,0.983026,0.730383,1,3,0,7.22513,0.255864 --6.74887,0.999563,0.730383,1,3,0,6.75351,0.244886 --6.97472,0.955253,0.730383,1,3,0,7.15729,0.172726 --7.78872,0.948253,0.730383,3,7,0,7.87399,0.103455 --7.46181,1,0.730383,2,3,0,7.76432,0.123436 --7.36668,0.998168,0.730383,3,7,0,7.49011,0.130579 --8.59328,0.86204,0.730383,2,3,0,9.52522,0.0711464 --6.80062,0.922246,0.730383,1,3,0,9.98324,0.210988 --7.00864,0.982324,0.730383,3,7,0,7.05675,0.346559 --6.95651,0.982351,0.730383,3,7,0,7.23522,0.335852 --6.88395,0.914551,0.730383,1,3,0,7.72669,0.188888 --6.9325,0.998021,0.730383,2,3,0,6.93766,0.179642 --6.87668,1,0.730383,1,1,0,6.92901,0.190431 --6.84399,0.95956,0.730383,1,3,0,7.38375,0.307228 --6.77862,0.999029,0.730383,3,7,0,6.85804,0.28174 --7.10663,0.881181,0.730383,1,3,0,7.77951,0.155245 --7.27257,0.983059,0.730383,1,1,0,7.27673,0.138483 --7.16393,1,0.730383,1,1,0,7.27874,0.148957 --7.19262,0.999023,0.730383,2,3,0,7.23183,0.146024 --6.77643,0.998214,0.730383,3,7,0,7.19759,0.280555 --6.76498,1,0.730383,2,7,0,6.77467,0.227463 --6.7654,0.998316,0.730383,3,7,0,6.78902,0.273769 --8.13187,0.875761,0.730383,2,3,0,8.25126,0.484002 --7.41507,1,0.730383,1,1,0,7.99941,0.408936 --7.11551,1,0.730383,1,1,0,7.36838,0.365798 --6.82757,0.928705,0.730383,1,3,0,7.84636,0.202481 --6.79301,0.976376,0.730383,1,3,0,7.09719,0.288682 --6.89682,0.939439,0.730383,1,3,0,7.30239,0.186269 --6.86808,0.950693,0.730383,1,3,0,7.50949,0.314305 --6.89344,0.99554,0.730383,1,1,0,6.90657,0.321074 --6.94753,0.997076,0.730383,3,7,0,6.95883,0.333889 --6.7586,0.980423,0.730383,1,3,0,7.17757,0.232119 --6.75178,0.997352,0.730383,1,3,0,6.78666,0.260946 --7.27301,0.865065,0.730383,1,3,0,7.94966,0.138444 --6.75405,0.997924,0.730383,2,7,0,7.20265,0.236444 --7.17779,0.919924,0.730383,1,3,0,7.49567,0.147523 --7.40472,0.978011,0.730383,1,1,0,7.40651,0.127631 --7.34117,1,0.730383,1,1,0,7.44311,0.132631 --6.82156,0.998955,0.730383,3,7,0,7.30328,0.29985 --6.77862,0.939425,0.730383,3,7,0,7.37671,0.281737 --6.83886,0.963053,0.730383,1,3,0,7.09387,0.199402 --6.74964,0.992052,0.730383,1,3,0,6.93564,0.257155 --6.96049,0.911372,0.730383,2,3,0,7.66201,0.33671 --6.76628,0.86882,0.730383,2,3,0,8.19985,0.274379 --7.29476,0.947178,0.730383,2,3,0,7.35033,0.392984 --7.55239,0.963016,0.730383,3,7,0,7.82696,0.117274 --7.119,0.993573,0.730383,3,7,0,7.68698,0.153835 --6.83325,0.977627,0.730383,2,3,0,7.47204,0.200904 --6.78538,0.999849,0.730383,3,7,0,6.82644,0.285159 --6.814,0.998407,0.730383,2,3,0,6.81464,0.297128 --6.77423,0.950451,0.730383,2,3,0,7.27621,0.279319 --6.91123,0.93096,0.730383,3,7,0,7.45697,0.183491 --7.98428,0.910061,0.730383,2,3,0,8.00192,0.0938884 --7.65256,1,0.730383,1,1,0,7.96732,0.111061 --7.90541,0.989252,0.730383,3,7,0,7.94759,0.0975761 --6.7793,0.985994,0.730383,3,7,0,8.11065,0.219636 --9.96919,0.440056,0.730383,1,3,0,14.3895,0.0408457 --10.3669,0.988145,0.730383,1,1,0,10.4357,0.0351444 --6.9631,0.944402,0.730383,3,7,0,13.1378,0.174545 --8.65552,0.782432,0.730383,1,3,0,9.69364,0.0692635 --8.8744,0.940235,0.730383,2,3,0,10.6264,0.0631346 --8.40475,1,0.730383,1,1,0,8.86282,0.0772827 --7.81446,0.943889,0.730383,2,5,0,9.33022,0.453925 --7.25119,0.941197,0.730383,2,3,0,8.50505,0.38681 --7.52824,0.590604,0.730383,2,5,0,10.7863,0.118862 --7.48393,1,0.730383,2,3,0,7.58743,0.121878 --6.92804,1,0.730383,2,3,0,7.48086,0.180426 --6.86516,0.949881,0.730383,1,3,0,7.58856,0.313487 --6.76968,0.978633,0.730383,1,3,0,7.08555,0.224602 --8.14391,0.874158,0.730383,3,7,0,8.48146,0.0870328 --8.08902,1,0.730383,1,1,0,8.24377,0.0893051 --7.87006,1,0.730383,1,1,0,8.1121,0.0993011 --7.53028,0.992775,0.730383,2,3,0,8.15442,0.118726 --7.81825,0.992322,0.730383,2,3,0,7.82712,0.101916 --6.85324,0.987473,0.730383,1,3,0,8.19012,0.195777 --6.91638,0.997368,0.730383,2,3,0,6.91739,0.182533 --6.8581,0.992582,0.730383,3,7,0,7.0471,0.311464 --6.81361,1,0.730383,1,1,0,6.8523,0.296983 --6.87343,0.989762,0.730383,1,1,0,6.87406,0.315785 --6.92383,0.9911,0.730383,1,1,0,6.93273,0.328502 --6.99521,0.987148,0.730383,1,1,0,7.00814,0.343904 --6.75084,0.95791,0.730383,3,7,0,7.4192,0.240697 --6.94629,0.964972,0.730383,1,3,0,7.07844,0.177286 --6.8053,0.98049,0.730383,2,3,0,7.21276,0.209366 --8.08595,0.7903,0.730383,1,3,0,9.07031,0.0894346 --7.00856,0.996052,0.730383,3,7,0,8.01458,0.167734 --7.15367,0.984177,0.730383,1,1,0,7.15534,0.150038 --7.31843,0.983633,0.730383,1,1,0,7.32519,0.134515 --7.4446,0.988446,0.730383,1,1,0,7.46967,0.124673 --7.46593,0.998118,0.730383,1,1,0,7.5341,0.123143 --6.74849,0.964118,0.730383,1,3,0,8.08112,0.246168 --6.84101,0.981461,0.730383,1,3,0,6.92241,0.306299 --7.42381,0.923117,0.730383,3,7,0,7.64804,0.41004 --6.87095,0.893497,0.730383,1,3,0,8.64369,0.191682 --6.85624,1,0.730383,1,1,0,6.87897,0.195058 --6.84818,0.996524,0.730383,2,3,0,6.92876,0.197021 --7.07555,0.926846,0.730383,1,3,0,7.84958,0.358951 --7.37008,0.982898,0.730383,3,7,0,7.37524,0.403141 --8.28568,0.833044,0.730383,1,1,0,8.28647,0.497312 --7.41146,1,0.730383,1,1,0,8.11422,0.408479 --6.92149,0.960074,0.730383,3,7,0,7.91408,0.181598 --6.97054,0.994179,0.730383,1,1,0,6.97914,0.173374 --6.76307,0.973098,0.730383,1,3,0,7.30464,0.272089 --6.81216,0.976679,0.730383,1,3,0,6.96578,0.207107 --6.79446,0.98457,0.730383,2,3,0,6.99538,0.213255 --6.92098,0.988188,0.730383,2,3,0,6.9503,0.181691 --6.8593,1,0.730383,1,1,0,6.91475,0.194335 --6.74825,0.995492,0.730383,1,3,0,6.92953,0.247332 --7.66444,0.798064,0.730383,1,3,0,8.69349,0.110362 --7.46918,1,0.730383,1,1,0,7.66838,0.122913 --9.66284,0.887276,0.730383,3,7,0,10.1183,0.04597 --10.4877,0.973746,0.730383,1,1,0,10.4889,0.0335949 --6.94218,0.98026,0.730383,3,7,0,10.8266,0.3327 --7.04515,0.98135,0.730383,1,1,0,7.05583,0.353481 --7.27661,0.734786,0.730383,1,3,0,9.29119,0.138124 --6.76639,0.979339,0.730383,1,3,0,7.52478,0.226567 --6.76639,0.819289,0.730383,1,3,0,8.50173,0.226567 --7.36495,0.895032,0.730383,1,3,0,7.77719,0.130716 --7.2193,0.997836,0.730383,3,7,0,7.36324,0.143411 --7.09778,1,0.730383,1,1,0,7.21629,0.156274 --7.06122,1,0.730383,1,1,0,7.12,0.160714 --6.75136,0.98929,0.730383,1,3,0,7.2425,0.239884 --6.75201,0.998325,0.730383,1,3,0,6.76886,0.261267 --6.91966,0.953643,0.730383,1,3,0,7.14971,0.18193 --7.04649,0.985207,0.730383,1,1,0,7.04657,0.162597 --6.99425,0.993947,0.730383,2,3,0,7.19465,0.169792 --6.77162,0.966997,0.730383,1,3,0,7.40584,0.27779 --6.99454,0.91981,0.730383,1,3,0,7.45817,0.16975 --7.40424,0.971811,0.730383,3,7,0,7.51456,0.127667 --7.43316,0.997403,0.730383,1,1,0,7.49491,0.125509 --7.22584,0.993101,0.730383,2,3,0,7.64604,0.142786 --6.88964,0.972901,0.730383,2,3,0,7.68234,0.187712 --7.03264,0.926067,0.730383,1,3,0,7.90156,0.351155 --6.98422,0.862816,0.730383,1,3,0,8.26862,0.171281 --7.00212,0.921828,0.730383,1,3,0,8.12906,0.345279 --7.08757,0.984269,0.730383,1,1,0,7.11054,0.361048 --7.10475,0.999166,0.730383,3,7,0,7.15975,0.363988 --7.41686,0.980636,0.730383,2,3,0,7.42545,0.409162 --7.40718,0.926438,0.730383,3,7,0,8.28853,0.407934 --6.87998,0.986733,0.730383,2,3,0,7.55029,0.317558 --6.82038,0.953525,0.730383,1,3,0,7.31721,0.204571 --6.79197,0.993613,0.730383,3,7,0,6.91096,0.28822 --6.97554,0.914195,0.730383,1,3,0,7.50803,0.1726 --7.04059,0.99261,0.730383,1,1,0,7.05093,0.163368 --6.85386,0.998437,0.730383,2,3,0,7.07707,0.19563 --7.13651,0.980032,0.730383,3,7,0,7.17813,0.151889 --6.75846,0.963999,0.730383,1,3,0,7.62882,0.268347 --6.89747,0.95459,0.730383,1,3,0,7.14772,0.186141 --6.83034,1,0.730383,2,3,0,6.88889,0.201705 --6.75238,0.990454,0.730383,1,3,0,6.94097,0.261786 --6.74963,0.998847,0.730383,1,3,0,6.76405,0.242946 --7.7198,0.795537,0.730383,1,3,0,8.75938,0.107195 --6.81116,0.970865,0.730383,2,5,0,8.13877,0.207428 --6.94423,0.951134,0.730383,1,3,0,7.42631,0.333158 --6.91084,0.98587,0.730383,2,3,0,7.13062,0.325405 --6.76606,0.999954,0.730383,2,3,0,6.91532,0.274226 --6.76197,1,0.730383,1,1,0,6.7665,0.271257 --6.76963,0.996016,0.730383,3,7,0,6.80677,0.224632 --6.75223,0.977521,0.730383,3,7,0,7.01794,0.261577 --6.75657,0.999314,0.730383,1,1,0,6.75658,0.266581 --6.76479,0.993026,0.730383,1,3,0,6.82028,0.227591 --6.81681,0.980653,0.730383,1,3,0,6.96927,0.298155 --6.92432,0.922969,0.730383,1,3,0,7.46363,0.181089 --8.13391,0.833439,0.730383,1,3,0,10.2246,0.484184 --8.48071,0.97731,0.730383,2,3,0,8.66024,0.513226 --8.21184,0.989625,0.730383,3,7,0,9.09316,0.491012 --6.75109,1,0.730383,3,7,0,8.14208,0.240301 --6.94669,0.963416,0.730383,2,3,0,7.08633,0.177219 --6.91328,1,0.730383,2,3,0,6.95405,0.183106 --6.75639,0.981411,0.730383,1,3,0,7.13953,0.266402 --7.12451,0.895262,0.730383,1,3,0,7.66065,0.153216 --7.05939,1,0.730383,2,3,0,7.13558,0.160945 --6.77274,0.961238,0.730383,1,3,0,7.55858,0.278454 --6.7915,0.996915,0.730383,1,1,0,6.7919,0.288007 --6.75373,0.990729,0.730383,3,7,0,6.8864,0.263512 --7.27374,0.930735,0.730383,2,3,0,7.50331,0.390035 --7.38864,0.994265,0.730383,3,7,0,7.454,0.405555 --7.08362,1,0.730383,1,1,0,7.33738,0.360363 --6.86016,1,0.730383,3,7,0,7.06896,0.194135 --7.57968,0.888854,0.730383,2,3,0,8.07781,0.115524 --6.76075,0.961819,0.730383,1,3,0,8.12918,0.230416 --6.81572,0.982089,0.730383,1,3,0,6.95043,0.297759 --6.84447,0.952418,0.730383,1,3,0,7.22872,0.197954 --6.81018,1,0.730383,1,1,0,6.84101,0.207745 --6.7983,1,0.730383,2,3,0,6.81217,0.211825 --7.06129,0.932549,0.730383,1,3,0,7.61891,0.356415 --6.96695,0.979113,0.730383,2,3,0,7.32298,0.338087 --6.85946,1,0.730383,1,1,0,6.94892,0.311856 --6.8879,0.995016,0.730383,1,1,0,6.89891,0.319647 --6.81171,0.956833,0.730383,1,3,0,7.30395,0.20725 --6.85331,0.994541,0.730383,1,1,0,6.85383,0.195761 --6.82471,0.965457,0.730383,1,3,0,7.26265,0.300942 --6.76171,0.985577,0.730383,1,3,0,6.96761,0.229707 --7.25913,0.950033,0.730383,2,3,0,7.26007,0.139692 --7.36307,0.99671,0.730383,2,3,0,7.38889,0.130866 --7.11673,1,0.730383,1,1,0,7.33811,0.154091 --6.98746,1,0.730383,1,1,0,7.10431,0.170796 --6.86681,0.997509,0.730383,3,7,0,7.03174,0.192607 --6.74812,0.994692,0.730383,1,3,0,6.9465,0.248235 --7.33995,0.869699,0.730383,1,3,0,7.9565,0.13273 --7.12087,0.948428,0.730383,3,7,0,8.39384,0.153624 --7.12906,0.998754,0.730383,3,7,0,7.12965,0.368041 --7.03063,1,0.730383,1,1,0,7.13591,0.350778 --6.99319,1,0.730383,2,3,0,7.05578,0.343498 --6.87126,0.69085,0.730383,2,3,0,10.2463,0.31519 --6.80697,1,0.730383,1,1,0,6.86037,0.294462 --7.02512,0.744239,0.730383,2,3,0,9.59382,0.349735 --7.33664,0.935081,0.730383,2,3,0,7.74345,0.398706 --8.12963,0.854146,0.730383,1,1,0,8.1318,0.483803 --8.3104,1,0.730383,3,7,0,8.39189,0.0806245 --7.43298,0.968787,0.730383,2,3,0,9.2438,0.125522 --7.46069,0.959129,0.730383,3,7,0,8.55805,0.123515 --6.83172,0.924239,0.730383,1,3,0,8.83106,0.303305 --6.83172,0.991807,0.730383,1,1,0,6.87444,0.303305 --7.08528,0.964867,0.730383,2,3,0,7.2112,0.360651 --6.77199,0.961576,0.730383,3,7,0,7.50725,0.223321 --6.78746,0.987615,0.730383,2,3,0,6.90307,0.216034 --6.75709,0.9922,0.730383,1,3,0,6.87387,0.267077 --6.81779,0.962652,0.730383,2,3,0,7.11011,0.298509 --7.20012,0.831326,0.730383,1,3,0,8.23014,0.145279 --7.25461,0.998196,0.730383,2,3,0,7.28896,0.140103 --6.8398,0.978825,0.730383,2,3,0,7.62794,0.199156 --6.80948,0.999824,0.730383,3,7,0,6.83727,0.207974 --6.80752,1,0.730383,1,1,0,6.81687,0.20862 --6.97395,0.94622,0.730383,1,3,0,7.47705,0.339559 --6.89151,1,0.730383,1,1,0,6.96577,0.320578 --6.7938,0.86544,0.730383,2,3,0,8.17123,0.289031 --6.77384,0.974153,0.730383,3,7,0,7.04075,0.279093 --6.89745,0.985431,0.730383,2,3,0,6.93381,0.322094 --6.79337,0.963946,0.730383,1,3,0,7.25378,0.213674 --7.13174,0.950296,0.730383,3,7,0,7.45579,0.152413 --7.22919,0.954411,0.730383,3,7,0,8.0236,0.142468 --7.17998,0.99153,0.730383,2,3,0,7.47049,0.1473 --7.79043,0.962605,0.730383,3,7,0,8.02346,0.451477 --6.76513,1,0.730383,3,7,0,7.70751,0.273582 --7.36555,0.940517,0.730383,3,7,0,7.42209,0.402548 --6.83725,0.913357,0.730383,1,3,0,8.36735,0.19983 --6.88439,0.969114,0.730383,2,3,0,7.19829,0.188796 --6.74835,0.947108,0.730383,3,7,0,7.60329,0.253214 --6.95648,0.951423,0.730383,1,3,0,7.17449,0.175609 --6.76,0.998117,0.730383,3,7,0,6.9747,0.269671 --8.31347,0.857836,0.730383,3,7,0,8.43096,0.499642 --7.7581,1,0.730383,2,3,0,8.27433,0.44814 --7.30413,1,0.730383,1,1,0,7.68738,0.394281 --7.32407,0.99613,0.730383,1,1,0,7.41972,0.397009 --7.73575,0.910172,0.730383,2,5,0,8.29708,0.10631 --8.03122,0.975568,0.730383,3,7,0,8.41869,0.0917924 --8.06544,0.997699,0.730383,1,1,0,8.1733,0.0903076 --7.2967,0.998645,0.730383,2,3,0,8.15167,0.136366 --7.61294,0.97167,0.730383,1,1,0,7.6132,0.11345 --7.19627,0.98331,0.730383,3,7,0,7.93831,0.378665 --6.83377,0.99274,0.730383,2,3,0,7.27754,0.303978 --6.76826,0.945936,0.730383,2,3,0,7.33623,0.275692 --6.7494,0.997459,0.730383,3,7,0,6.79648,0.256606 --6.76997,0.997387,0.730383,3,7,0,6.77797,0.224438 --7.07526,0.872893,0.730383,3,7,0,8.38433,0.158972 --6.77435,0.999173,0.730383,3,7,0,7.03946,0.222072 --6.98884,0.983215,0.730383,3,7,0,7.00181,0.17059 --7.0995,0.995895,0.730383,2,3,0,7.10349,0.156072 --6.74803,0.980882,0.730383,1,3,0,7.38368,0.249451 --6.79719,0.987229,0.730383,2,3,0,6.86988,0.290494 --6.74837,0.996676,0.730383,1,3,0,6.83596,0.246702 --6.84351,0.981537,0.730383,1,3,0,6.91511,0.198197 --6.96311,0.943152,0.730383,1,3,0,7.58379,0.33727 --6.8417,0.934699,0.730383,1,3,0,7.58688,0.198664 --6.80472,1,0.730383,1,1,0,6.83728,0.209562 --6.84086,0.995212,0.730383,1,1,0,6.84142,0.198881 --6.89179,0.993534,0.730383,1,1,0,6.89319,0.187276 --8.35965,0.87399,0.730383,2,3,0,8.3612,0.0788559 --7.1828,1,0.730383,2,3,0,8.32175,0.147013 --6.89829,0.998591,0.730383,2,3,0,7.22257,0.185979 --8.46135,0.833259,0.730383,2,5,0,9.48921,0.0753682 --9.06855,0.970907,0.730383,2,3,0,9.53243,0.0582647 --9.26438,0.991587,0.730383,1,1,0,9.36624,0.0538167 --7.00442,0.990765,0.730383,3,7,0,8.94563,0.345733 --7.17222,0.954237,0.730383,3,7,0,7.51771,0.374953 --7.17806,0.999629,0.730383,2,3,0,7.25247,0.375864 --7.02139,1,0.730383,3,7,0,7.16317,0.349024 --6.89439,0.986259,0.730383,2,3,0,7.18853,0.321316 --7.02325,0.992346,0.730383,2,3,0,7.0256,0.349379 --6.91814,1,0.730383,1,1,0,7.01135,0.327159 --6.85841,0.931938,0.730383,1,3,0,7.54343,0.194544 --6.90692,0.966086,0.730383,2,3,0,7.26726,0.184306 --7.14794,0.978604,0.730383,2,3,0,7.23132,0.15065 --7.16698,0.949612,0.730383,2,3,0,7.96872,0.148639 --10.6393,0.788363,0.730383,2,5,0,10.7414,0.645148 --8.02954,1,0.730383,3,7,0,10.9486,0.091866 --7.20334,0.970871,0.730383,2,3,0,8.79746,0.144961 --6.88766,0.912752,0.730383,3,7,0,8.91611,0.188118 --6.77651,0.966732,0.730383,3,7,0,7.3367,0.280596 --6.7952,0.95787,0.730383,2,3,0,7.17396,0.289641 --6.79401,0.975641,0.730383,1,3,0,7.01706,0.213425 --9.97602,0.816459,0.730383,2,3,0,9.99539,0.611025 --8.03019,1,0.730383,1,1,0,9.58513,0.474783 --8.04739,0.996517,0.730383,1,1,0,8.28891,0.476368 --6.83189,0.820307,0.730383,2,3,0,10.3097,0.201276 --6.76189,0.985563,0.730383,1,3,0,6.99467,0.271193 --6.75034,0.997541,0.730383,1,3,0,6.78744,0.241557 --7.04799,0.943249,0.730383,1,3,0,7.27882,0.162403 --6.85533,0.941674,0.730383,1,3,0,7.8781,0.310653 --6.75546,0.987671,0.730383,1,3,0,6.99309,0.234964 --6.81243,0.983516,0.730383,1,3,0,6.91951,0.296545 --6.88517,0.995852,0.730383,2,3,0,6.88526,0.318931 --7.74524,0.767607,0.730383,3,7,0,9.2531,0.446799 --8.77087,0.812381,0.730383,1,1,0,8.79289,0.535214 --8.77087,0.795286,0.730383,1,1,0,9.83992,0.535214 --7.58283,1,0.730383,1,1,0,8.53362,0.429072 --7.20994,0.655351,0.730383,2,5,0,10.4346,0.144316 --7.19385,0.99909,0.730383,3,7,0,7.26833,0.378295 --7.09722,0.965128,0.730383,2,3,0,7.6336,0.362709 --7.06916,1,0.730383,1,1,0,7.14045,0.357821 --6.92125,1,0.730383,1,1,0,7.04553,0.327894 --6.92898,0.999491,0.730383,3,7,0,6.95619,0.329699 --6.75114,0.977957,0.730383,2,3,0,7.17053,0.240217 --6.84587,0.897335,0.730383,3,7,0,7.89341,0.197597 --6.81331,1,0.730383,1,1,0,6.84309,0.206741 --7.05302,0.979197,0.730383,2,3,0,7.08659,0.161755 --6.7511,0.976396,0.730383,1,3,0,7.37709,0.259897 --6.8355,0.9915,0.730383,2,3,0,6.84125,0.304542 --6.8492,0.991313,0.730383,3,7,0,6.94783,0.196766 --6.80497,1,0.730383,1,1,0,6.84346,0.209477 --6.77279,0.985091,0.730383,1,3,0,6.9733,0.278481 --7.01721,0.973721,0.730383,2,3,0,7.06173,0.348223 --7.08305,0.984722,0.730383,3,7,0,7.24755,0.158025 --6.80636,0.946343,0.730383,1,3,0,7.77861,0.294223 --6.77128,0.99842,0.730383,2,3,0,6.82693,0.277581 --7.42604,0.934576,0.730383,2,3,0,7.50088,0.410321 --6.844,0.907458,0.730383,1,3,0,8.51281,0.198072 --6.88908,0.994285,0.730383,1,1,0,6.89138,0.187828 --6.80854,0.966222,0.730383,1,3,0,7.30716,0.29507 --6.79982,1,0.730383,1,1,0,6.81296,0.291592 --7.04089,0.890074,0.730383,1,3,0,7.71592,0.163328 --7.0387,1,0.730383,1,1,0,7.07622,0.163617 --6.80052,0.95221,0.730383,1,3,0,7.64616,0.291883 --6.78867,1,0.730383,2,3,0,6.80195,0.286714 --6.82389,0.994097,0.730383,1,1,0,6.82431,0.30066 --6.76612,0.983592,0.730383,1,3,0,6.98542,0.226734 --7.86433,0.875581,0.730383,3,7,0,8.41506,0.0995847 --7.69925,0.990186,0.730383,2,3,0,8.2623,0.108353 --7.59774,1,0.730383,1,1,0,7.744,0.11439 --6.79133,0.863404,0.730383,3,7,0,10.5281,0.287933 --6.93579,0.930309,0.730383,3,7,0,7.47821,0.17907 --6.9912,0.997836,0.730383,2,3,0,6.99985,0.170241 --6.93713,1,0.730383,1,1,0,6.9939,0.178839 --7.06032,0.985865,0.730383,2,3,0,7.17377,0.160827 --7.46217,0.981019,0.730383,3,7,0,7.48947,0.414809 --7.26501,1,0.730383,3,7,0,7.4708,0.388794 --6.92658,1,0.730383,3,7,0,7.26039,0.180686 --8.47438,0.793736,0.730383,1,3,0,9.4217,0.0749366 --8.28202,0.997743,0.730383,3,7,0,8.56126,0.497003 --8.80232,0.899743,0.730383,1,1,0,8.97438,0.53749 --9.46106,0.958749,0.730383,2,3,0,9.70186,0.581189 --6.7489,1,0.730383,2,3,0,9.10487,0.244775 --7.19708,0.907078,0.730383,1,3,0,7.60994,0.14558 --9.00703,0.815406,0.730383,1,3,0,9.85151,0.0597552 --9.62943,0.974197,0.730383,1,1,0,9.6379,0.0465731 --9.36548,0.991983,0.730383,2,3,0,10.34,0.051683 --7.38372,0.988886,0.730383,1,3,0,10.0319,0.129242 --8.15946,0.970852,0.730383,3,7,0,8.20741,0.486443 --7.29546,1,0.730383,1,1,0,7.9882,0.393082 --6.76199,0.891519,0.730383,2,3,0,8.43314,0.229506 --6.90794,0.963465,0.730383,1,3,0,7.14339,0.324698 --6.74901,0.954848,0.730383,3,7,0,7.34166,0.255594 --7.15884,0.962133,0.730383,2,3,0,7.17081,0.372846 --6.79631,0.953512,0.730383,3,7,0,7.67153,0.212559 --6.77899,0.984456,0.730383,1,3,0,6.97107,0.281935 --6.87188,0.9522,0.730383,1,3,0,7.18242,0.191477 --6.87832,0.953455,0.730383,1,3,0,7.46533,0.317111 --6.98649,0.888456,0.730383,1,3,0,7.84749,0.17094 --6.98992,0.999375,0.730383,3,7,0,6.99097,0.34284 --7.02201,0.998037,0.730383,2,3,0,7.05484,0.349144 --7.03049,0.998433,0.730383,1,1,0,7.07585,0.350752 --6.92895,1,0.730383,1,1,0,7.02105,0.329691 --6.75823,0.979521,0.730383,1,3,0,7.14248,0.232432 --6.75068,0.997803,0.730383,2,3,0,6.78182,0.240964 --8.35237,0.574506,0.730383,2,3,0,13.154,0.502867 --7.6529,1,0.730383,3,7,0,8.40784,0.111041 --7.35735,0.995629,0.730383,3,7,0,7.63277,0.131322 --7.75532,0.913902,0.730383,2,3,0,8.7762,0.105241 --6.81997,0.974417,0.730383,3,7,0,8.31078,0.204695 --6.88149,0.992042,0.730383,1,1,0,6.8815,0.189403 --6.85683,0.95494,0.730383,1,3,0,7.43411,0.311093 --6.83017,1,0.730383,3,7,0,6.85894,0.302792 --6.78748,0.974073,0.730383,1,3,0,7.08204,0.216028 --7.2004,0.917942,0.730383,1,3,0,7.83385,0.379293 --7.09752,1,0.730383,2,3,0,7.21677,0.36276 --7.61294,0.905532,0.730383,1,1,0,7.61299,0.432476 --8.0773,0.910737,0.730383,1,1,0,8.14014,0.479099 --7.56317,1,0.730383,1,1,0,8.02206,0.426819 --7.28838,1,0.730383,2,3,0,7.54748,0.392095 --7.562,0.982577,0.730383,2,3,0,7.6004,0.426684 --8.69343,0.93199,0.730383,2,3,0,8.69655,0.529525 --9.13224,0.915289,0.730383,1,1,0,9.39957,0.560262 --8.56433,1,0.730383,2,3,0,9.23264,0.519756 --6.76245,0.909018,0.730383,2,3,0,9.68166,0.229175 --6.76245,0.743785,0.730383,1,3,0,9.2772,0.229175 --7.619,0.935896,0.730383,3,7,0,7.62111,0.433155 --8.94437,0.76502,0.730383,1,1,0,8.94546,0.547533 --6.78022,1,0.730383,3,7,0,8.79676,0.282579 --7.12762,0.877362,0.730383,1,3,0,7.84237,0.152869 --6.89484,0.97079,0.730383,2,3,0,7.58625,0.186662 --6.77802,0.974332,0.730383,1,3,0,7.20876,0.281417 --7.07297,0.894013,0.730383,1,3,0,7.69061,0.159253 --7.07561,0.991971,0.730383,2,3,0,7.27981,0.158928 --6.81562,0.948858,0.730383,1,3,0,7.79952,0.297724 --6.75528,0.990408,0.730383,1,3,0,6.91811,0.235148 --7.01859,0.939144,0.730383,2,3,0,7.42556,0.348488 --7.33648,0.941796,0.730383,1,1,0,7.33784,0.398686 --7.60472,0.948504,0.730383,1,1,0,7.65188,0.431553 --7.6555,1,0.730383,3,7,0,7.71767,0.110888 --7.43075,1,0.730383,1,1,0,7.64933,0.125686 --7.2498,0.992573,0.730383,2,3,0,7.66159,0.140545 --7.1727,0.864879,0.730383,1,3,0,9.39065,0.375029 --6.80753,0.933877,0.730383,1,3,0,7.85949,0.208614 --6.95378,0.949687,0.730383,1,3,0,7.43366,0.335261 --6.85043,1,0.730383,1,1,0,6.93623,0.309194 --6.75264,0.989033,0.730383,1,3,0,6.96559,0.238116 --6.76504,0.998799,0.730383,3,7,0,6.76898,0.227423 --6.76504,0.882921,0.730383,1,3,0,7.78866,0.227423 --6.76581,0.993158,0.730383,2,3,0,6.83968,0.226931 --6.80198,0.99648,0.730383,3,7,0,6.81574,0.210509 --6.97701,0.94743,0.730383,1,3,0,7.46178,0.340195 --6.7967,0.954616,0.730383,1,3,0,7.43187,0.212412 --7.01451,0.942258,0.730383,1,3,0,7.51769,0.347702 --6.89562,1,0.730383,1,1,0,6.99631,0.32163 --6.94694,0.997753,0.730383,3,7,0,6.95298,0.333757 --7.51035,0.431108,0.730383,3,7,0,13.6696,0.420632 --7.78282,0.94703,0.730383,1,1,0,7.85969,0.450697 --9.52883,0.702178,0.730383,1,1,0,9.52885,0.585309 --9.35565,1,0.730383,3,7,0,9.65558,0.0518859 --6.88639,0.98196,0.730383,3,7,0,9.47893,0.319251 --6.81763,0.954066,0.730383,1,3,0,7.32225,0.205402 --6.86869,0.993362,0.730383,1,1,0,6.86891,0.192186 --6.77097,0.979139,0.730383,1,3,0,7.11812,0.277393 --6.75249,0.999831,0.730383,3,7,0,6.77314,0.26194 --6.76799,0.998757,0.730383,3,7,0,6.76866,0.22559 --7.00642,0.945067,0.730383,1,3,0,7.3649,0.346126 --6.87516,1,0.730383,3,7,0,6.98601,0.190758 --7.96131,0.852332,0.730383,1,3,0,8.5343,0.0949403 --7.06015,0.974851,0.730383,3,7,0,8.48402,0.356211 --6.75348,0.947778,0.730383,2,3,0,7.60309,0.237091 --6.99886,0.975089,0.730383,2,3,0,7.00018,0.169122 --6.99895,0.915668,0.730383,1,3,0,8.16522,0.34465 --6.97692,1,0.730383,1,1,0,7.02808,0.340177 --6.74819,1,0.730383,2,3,0,6.94399,0.252302 --6.86939,0.972416,0.730383,1,3,0,6.99044,0.192028 --6.74802,0.997543,0.730383,3,7,0,6.90226,0.249834 --6.81286,0.982296,0.730383,2,3,0,6.91807,0.296704 --7.0434,0.714658,0.730383,3,7,0,9.99622,0.163 --7.06461,0.997663,0.730383,1,1,0,7.09386,0.160288 --8.17974,0.899209,0.730383,3,7,0,8.89397,0.488222 --7.56732,1,0.730383,1,1,0,8.09356,0.427297 --8.01185,0.971522,0.730383,2,3,0,8.07014,0.473081 --8.00449,1,0.730383,1,1,0,8.24955,0.472395 --6.79939,1,0.730383,2,3,0,7.9786,0.291418 --6.81006,0.999401,0.730383,2,3,0,6.81541,0.295652 --6.81006,0.946041,0.730383,1,3,0,7.25635,0.295652 --6.81025,0.966829,0.730383,1,3,0,7.10805,0.207721 --6.78677,1,0.730383,1,1,0,6.8076,0.216324 --7.13114,0.927875,0.730383,3,7,0,7.7128,0.368383 --6.81948,0.994429,0.730383,2,3,0,7.19474,0.299113 --6.74815,0.991085,0.730383,2,3,0,6.91558,0.24802 --7.03172,0.961993,0.730383,3,7,0,7.16936,0.164545 --7.34671,0.986663,0.730383,3,7,0,7.35446,0.400054 --7.34671,0.848665,0.730383,1,1,0,8.0089,0.400054 --7.46577,0.976898,0.730383,1,1,0,7.54394,0.415251 --6.99521,0.947433,0.730383,3,7,0,8.06043,0.343903 --7.07481,0.97886,0.730383,2,7,0,7.28481,0.159026 --6.74892,0.978638,0.730383,1,3,0,7.3831,0.255325 --6.81082,0.984332,0.730383,1,3,0,6.88485,0.207536 --6.93739,0.987781,0.730383,2,3,0,6.97702,0.178794 --6.82233,0.97795,0.730383,2,3,0,7.23542,0.203995 --6.82094,1,0.730383,1,1,0,6.83179,0.204405 --7.16295,0.970004,0.730383,2,3,0,7.19397,0.149059 --6.80224,0.999055,0.730383,3,7,0,7.13053,0.210419 --7.38531,0.894682,0.730383,1,3,0,8.25288,0.405125 --7.25393,1,0.730383,1,1,0,7.41783,0.387206 --7.14003,1,0.730383,2,3,0,7.27329,0.369831 --7.2945,0.97084,0.730383,1,1,0,7.32788,0.392948 --7.09992,1,0.730383,1,1,0,7.27806,0.36317 --7.06855,1,0.730383,1,1,0,7.1415,0.357712 --6.85684,0.918322,0.730383,1,3,0,7.87618,0.194915 --6.81536,0.985495,0.730383,3,7,0,7.05617,0.297627 --7.0492,0.881017,0.730383,1,3,0,7.80512,0.162246 --6.87025,0.938547,0.730383,1,3,0,7.93193,0.314909 --6.92819,0.996594,0.730383,2,3,0,6.93538,0.329516 --6.80206,0.957057,0.730383,1,3,0,7.35458,0.210481 --7.93944,0.734301,0.730383,3,7,0,11.0322,0.466239 --9.53959,0.723183,0.730383,1,1,0,9.54715,0.585957 --8.47848,1,0.730383,1,1,0,9.44244,0.513049 --7.52179,1,0.730383,1,1,0,8.29283,0.421989 --6.84991,0.948123,0.730383,3,7,0,8.14083,0.19659 --6.76366,0.993255,0.730383,3,7,0,6.95,0.228341 --6.8899,0.969548,0.730383,2,3,0,7.05508,0.187659 --6.8899,0.98983,0.730383,1,1,0,6.96522,0.187659 --7.43011,0.955865,0.730383,2,3,0,7.4771,0.125733 --6.88472,0.893747,0.730383,1,3,0,8.98842,0.318815 --6.85727,0.990928,0.730383,3,7,0,7.0047,0.311221 --6.86271,0.999864,0.730383,3,7,0,6.87399,0.312789 --6.80529,0.962444,0.730383,1,3,0,7.2223,0.209368 --6.75221,0.944959,0.730383,3,7,0,7.49257,0.238676 --6.79486,0.825316,0.730383,3,7,0,8.75591,0.289491 --6.94798,0.814803,0.730383,2,3,0,8.70954,0.333989 --6.94122,0.88979,0.730383,1,3,0,7.90226,0.178141 --6.74822,0.990176,0.730383,1,3,0,7.07543,0.247543 --6.80095,0.987388,0.730383,2,3,0,6.86977,0.29206 --7.37657,0.937075,0.730383,2,3,0,7.49573,0.403989 --7.66201,0.981694,0.730383,2,3,0,7.71312,0.437904 --6.78941,0.839981,0.730383,2,3,0,9.47883,0.215238 --6.99617,0.952071,0.730383,2,3,0,7.27187,0.169511 --7.17467,0.98174,0.730383,2,3,0,7.3111,0.147843 --7.21183,0.987691,0.730383,3,7,0,7.45859,0.144132 --7.40613,0.981425,0.730383,1,1,0,7.41225,0.127524 --7.35264,1,0.730383,2,3,0,7.44974,0.131701 --6.94796,0.887068,0.730383,1,3,0,9.01676,0.333984 --6.95675,0.999447,0.730383,3,7,0,6.98846,0.335905 --6.95692,0.885164,0.730383,1,3,0,7.97814,0.175537 --7.0216,0.992556,0.730383,1,1,0,7.03034,0.165917 --6.75331,0.988819,0.730383,1,3,0,7.15713,0.237297 --6.83139,0.98039,0.730383,1,3,0,6.94563,0.303197 --6.80369,0.966762,0.730383,1,3,0,7.14166,0.209916 --6.8177,0.998125,0.730383,1,1,0,6.82143,0.205382 --6.8425,0.996748,0.730383,1,1,0,6.84558,0.198457 --6.86018,0.959864,0.730383,1,3,0,7.32958,0.312064 --6.75171,0.989943,0.730383,2,7,0,6.97554,0.239362 --7.04496,0.944781,0.730383,1,3,0,7.25756,0.162795 --7.15802,0.987879,0.730383,1,1,0,7.16534,0.149577 --7.0892,1,0.730383,1,1,0,7.17068,0.157287 --6.76008,0.966109,0.730383,1,3,0,7.5404,0.269738 --7.09571,0.900173,0.730383,1,3,0,7.62621,0.156517 --6.77051,1,0.730383,2,3,0,7.05938,0.224137 --7.0374,0.97426,0.730383,2,3,0,7.0465,0.163788 --6.99742,1,0.730383,1,1,0,7.05144,0.16933 --6.74814,0.985176,0.730383,1,3,0,7.20726,0.251947 --6.80067,0.994878,0.730383,2,3,0,6.80132,0.291943 --7.2013,0.824284,0.730383,3,7,0,8.61287,0.145162 --7.0801,1,0.730383,1,1,0,7.19701,0.158381 --7.17123,0.9445,0.730383,2,3,0,7.90088,0.148197 --8.16795,0.934138,0.730383,2,3,0,8.25753,0.0860639 --7.92179,1,0.730383,1,1,0,8.18601,0.0967924 --6.922,0.984275,0.730383,2,3,0,8.3747,0.181506 --6.76526,0.975955,0.730383,1,3,0,7.21096,0.273676 --7.04877,0.908634,0.730383,1,3,0,7.55221,0.162301 --6.91726,1,0.730383,1,1,0,7.03331,0.18237 --8.97979,0.862189,0.730383,2,5,0,8.98318,0.0604305 --8.68331,1,0.730383,1,1,0,9.02182,0.068444 --9.32954,0.969706,0.730383,1,1,0,9.33217,0.0524296 --10.1795,0.969441,0.730383,1,1,0,10.1795,0.0377097 --7.45911,0.986055,0.730383,3,7,0,9.98215,0.123628 --7.28193,0.987014,0.730383,3,7,0,7.73108,0.39119 --7.54071,0.950549,0.730383,1,1,0,7.58034,0.424212 --7.88104,0.934092,0.730383,1,1,0,7.95123,0.460568 --6.78218,1,0.730383,2,5,0,7.70899,0.218316 --6.77586,1,0.730383,1,1,0,6.78344,0.221304 --6.76817,0.991692,0.730383,2,3,0,6.86864,0.225487 --6.78133,0.998146,0.730383,1,1,0,6.78158,0.218697 --7.35888,0.881684,0.730383,2,3,0,8.34072,0.401669 --7.19673,1,0.730383,2,3,0,7.36922,0.378734 --7.10901,0.96405,0.730383,2,3,0,7.65217,0.364707 --7.56009,0.916777,0.730383,1,1,0,7.56157,0.426463 --7.02069,0.994132,0.730383,3,7,0,7.7358,0.166042 --6.85619,0.973786,0.730383,2,3,0,7.4008,0.195069 --6.89931,0.994732,0.730383,3,7,0,6.9605,0.185778 --6.7773,0.987448,0.730383,3,7,0,7.08644,0.220595 --6.7754,0.990111,0.730383,2,3,0,6.88865,0.221538 --7.19039,0.96809,0.730383,3,7,0,7.19726,0.146248 --6.80519,0.937553,0.730383,1,3,0,8.03302,0.293763 --6.83705,0.992156,0.730383,2,3,0,6.90092,0.30504 --6.98006,0.977095,0.730383,3,7,0,7.09764,0.340827 --7.20218,0.959487,0.730383,1,1,0,7.20553,0.379563 --7.39033,0.930835,0.730383,2,3,0,8.02091,0.405773 --7.11583,1,0.730383,2,3,0,7.35094,0.365851 --7.21293,0.952219,0.730383,2,3,0,7.69614,0.381181 --7.4075,0.989664,0.730383,3,7,0,7.44616,0.407974 --7.39048,1,0.730383,1,1,0,7.51753,0.405792 --8.0001,0.963049,0.730383,3,7,0,8.01568,0.471985 --7.78969,1,0.730383,1,1,0,8.1004,0.451402 --7.49446,1,0.730383,1,1,0,7.80063,0.418731 --8.56193,0.80681,0.730383,1,1,0,8.56384,0.51957 --10.011,0.748253,0.730383,1,1,0,10.0916,0.612937 --7.27301,1,0.730383,2,5,0,9.8601,0.138444 --7.25835,0.999091,0.730383,3,7,0,7.31366,0.387841 --7.02006,1,0.730383,1,1,0,7.21934,0.348769 --7.34797,0.979424,0.730383,3,7,0,7.34825,0.400222 --7.39345,0.997046,0.730383,2,3,0,7.49043,0.406175 --6.77741,1,0.730383,2,3,0,7.3721,0.281089 --6.8042,0.995217,0.730383,3,7,0,6.8364,0.293373 --6.74805,0.991663,0.730383,3,7,0,6.89191,0.25095 --6.75274,0.988389,0.730383,3,7,0,6.86071,0.237988 --6.75577,0.997045,0.730383,1,3,0,6.78319,0.265776 --6.77065,0.986871,0.730383,2,3,0,6.8786,0.277196 --7.58131,0.920669,0.730383,2,3,0,7.66774,0.428899 --7.75284,0.988749,0.730383,2,3,0,7.86399,0.447593 --7.89972,0.970815,0.730383,1,1,0,8.05037,0.462398 --9.24281,0.761622,0.730383,1,1,0,9.25917,0.567481 --7.78013,1,0.730383,2,3,0,8.95035,0.450419 --10.2065,0.767055,0.730383,2,5,0,10.2615,0.0373268 --9.52355,1,0.730383,1,1,0,10.1925,0.048547 --9.59347,0.999137,0.730383,2,3,0,9.76058,0.0472327 --6.96193,0.974384,0.730383,2,5,0,9.35575,0.174732 --6.91402,0.995379,0.730383,2,3,0,7.06592,0.182969 --6.86056,1,0.730383,1,1,0,6.90981,0.194041 --6.74831,0.992709,0.730383,1,3,0,6.95706,0.253011 --8.03491,0.855993,0.730383,3,7,0,8.46414,0.0916306 --7.97969,0.9952,0.730383,3,7,0,8.23932,0.470068 --7.27616,1,0.730383,1,1,0,7.8426,0.390377 --7.00967,0.820291,0.730383,1,3,0,8.93994,0.167577 --6.74863,0.983157,0.730383,1,3,0,7.24789,0.254361 --6.75437,0.999413,0.730383,2,3,0,6.75507,0.264261 --7.07387,0.957104,0.730383,2,3,0,7.20432,0.358654 --6.77278,1,0.730383,2,3,0,7.07278,0.278478 --6.77508,0.986524,0.730383,1,3,0,6.89757,0.2217 --7.07033,0.952307,0.730383,3,7,0,7.36254,0.358028 --6.89306,1,0.730383,1,1,0,7.03849,0.320976 --6.77223,0.901347,0.730383,2,3,0,7.81575,0.278153 --6.75082,0.992598,0.730383,2,3,0,6.84358,0.259427 --6.92988,0.920687,0.730383,2,3,0,7.55189,0.329905 --7.0885,0.971406,0.730383,1,1,0,7.09181,0.361209 --6.79582,0.949264,0.730383,1,3,0,7.64292,0.212741 --6.77306,1,0.730383,1,1,0,6.79266,0.222749 --6.77978,0.987721,0.730383,1,3,0,6.90854,0.282346 --6.76853,0.975337,0.730383,2,3,0,7.01229,0.275865 --6.86126,0.959381,0.730383,1,3,0,7.11187,0.193878 --6.81597,1,0.730383,1,1,0,6.85581,0.205912 --6.77448,0.988151,0.730383,2,3,0,6.95653,0.222005 --6.94103,0.95691,0.730383,1,3,0,7.27059,0.332441 --6.82007,0.947913,0.730383,1,3,0,7.45437,0.204665 --6.80185,0.997909,0.730383,2,7,0,6.85986,0.292425 --6.83832,0.993819,0.730383,1,1,0,6.83977,0.305448 --7.07807,0.86294,0.730383,1,3,0,7.97742,0.158628 --6.78189,0.958757,0.730383,1,3,0,7.65122,0.283433 --6.77699,1,0.730383,1,1,0,6.78429,0.28086 --7.27751,0.83852,0.730383,1,3,0,8.20533,0.138044 --6.80569,0.999275,0.730383,3,7,0,7.25473,0.293962 --6.79514,0.973781,0.730383,1,3,0,7.04834,0.212997 --6.97433,0.985912,0.730383,3,7,0,7.00111,0.172786 --6.94082,1,0.730383,1,1,0,6.98471,0.178209 --6.84647,0.952473,0.730383,1,3,0,7.56608,0.307994 --6.87635,0.988731,0.730383,2,3,0,6.98834,0.316581 --6.74817,1,0.730383,2,3,0,6.8578,0.252168 --6.74942,0.999599,0.730383,1,3,0,6.75183,0.243439 --6.77979,0.992305,0.730383,2,3,0,6.81981,0.219407 --6.78633,0.999093,0.730383,1,1,0,6.78892,0.216507 --6.80122,0.98071,0.730383,1,3,0,7.00532,0.292171 --6.84778,0.997369,0.730383,2,3,0,6.84837,0.308395 --6.76376,0.944671,0.730383,2,3,0,7.36159,0.272601 --6.79578,0.981484,0.730383,1,3,0,6.92659,0.212757 --7.23987,0.912103,0.730383,1,3,0,7.95065,0.385167 --6.93195,1,0.730383,3,7,0,7.23529,0.179738 --8.50321,0.791733,0.730383,1,3,0,9.46577,0.0739931 --7.79787,0.992296,0.730383,3,7,0,8.69981,0.452238 --7.79787,0.84176,0.730383,1,1,0,8.51843,0.452238 --6.75871,1,0.730383,2,3,0,7.69772,0.268569 --7.22223,0.954628,0.730383,2,3,0,7.25912,0.382569 --7.05737,1,0.730383,1,1,0,7.20963,0.355708 --6.77579,0.980467,0.730383,3,7,0,7.28669,0.221339 --6.83405,0.975422,0.730383,1,3,0,7.04966,0.304071 --6.96064,0.751289,0.730383,2,3,0,9.46633,0.336742 --6.80985,0.950466,0.730383,1,3,0,7.4551,0.207851 --6.74802,0.996858,0.730383,1,3,0,6.85464,0.250303 --6.89132,0.968797,0.730383,1,3,0,7.02408,0.18737 --8.71876,0.873735,0.730383,2,5,0,8.71978,0.0674168 --8.73453,0.999196,0.730383,1,1,0,8.89022,0.0669662 --8.33351,1,0.730383,3,7,0,8.83841,0.501308 --7.63966,1,0.730383,1,1,0,8.23163,0.43545 --6.75104,1,0.730383,3,7,0,7.53301,0.259799 --6.75238,0.998097,0.730383,1,3,0,6.76917,0.238447 --6.777,0.991947,0.730383,2,3,0,6.82825,0.220743 --7.16771,0.923676,0.730383,1,3,0,7.71582,0.374247 --7.11033,1,0.730383,1,1,0,7.20532,0.36493 --6.78464,0.950542,0.730383,1,3,0,7.62371,0.217233 --7.23055,0.887383,0.730383,2,5,0,7.87414,0.3838 --7.22131,1,0.730383,3,7,0,7.23279,0.143218 --8.27108,0.93283,0.730383,2,3,0,8.36683,0.0820765 --7.96608,1,0.730383,1,1,0,8.27571,0.0947203 --7.13911,0.993537,0.730383,3,7,0,7.84389,0.369681 --6.90135,0.987331,0.730383,3,7,0,7.30741,0.323072 --7.84147,0.883368,0.730383,2,3,0,8.17559,0.456644 --7.99649,0.969131,0.730383,1,1,0,8.16273,0.471647 --8.36373,0.928119,0.730383,1,1,0,8.51262,0.503801 --7.56103,1,0.730383,1,1,0,8.22116,0.426572 --7.62918,0.986504,0.730383,1,1,0,7.76195,0.434289 --7.11374,1,0.730383,3,7,0,7.6513,0.15443 --6.76363,0.998782,0.730383,3,7,0,7.07017,0.228359 --7.00291,0.952565,0.730383,2,3,0,7.21464,0.168537 --6.78362,0.961324,0.730383,1,3,0,7.48566,0.284299 --8.60512,0.800441,0.730383,2,3,0,9.20619,0.522882 --7.50686,1,0.730383,2,3,0,8.38582,0.420217 --8.23238,0.864406,0.730383,1,1,0,8.25154,0.49278 --7.43414,1,0.730383,1,1,0,8.08049,0.411337 --7.43896,1,0.730383,3,7,0,7.46927,0.125084 --6.74904,0.958483,0.730383,1,3,0,8.13624,0.255665 --6.84514,0.966103,0.730383,3,7,0,7.08597,0.307585 --6.74924,0.990366,0.730383,2,3,0,6.95566,0.243853 --7.1475,0.965216,0.730383,2,3,0,7.14916,0.371037 --8.17815,0.839598,0.730383,2,3,0,8.92187,0.488084 --7.7927,1,0.730383,1,1,0,8.20743,0.451709 --7.28208,1,0.730383,1,1,0,7.70374,0.391211 --6.79882,0.999533,0.730383,3,7,0,7.30562,0.291179 --7.2559,0.873279,0.730383,3,7,0,8.11144,0.139985 --7.37693,0.996177,0.730383,2,3,0,7.39845,0.129772 --6.74967,0.960362,0.730383,1,3,0,8.02243,0.257219 --6.74967,0.901074,0.730383,1,3,0,7.54755,0.257219 --7.62574,0.906686,0.730383,3,7,0,7.81798,0.112669 --7.36937,1,0.730383,1,1,0,7.60925,0.130366 --7.13224,0.997365,0.730383,3,7,0,7.34561,0.152358 --7.17601,0.995466,0.730383,1,1,0,7.20714,0.147706 --7.59189,0.973806,0.730383,3,7,0,7.76805,0.114755 --6.91989,0.87095,0.730383,1,3,0,9.56527,0.327575 --10.7323,0.625697,0.730383,3,7,0,11.4438,0.6496 --9.39314,1,0.730383,2,5,0,10.6337,0.051117 --7.3444,0.961388,0.730383,2,5,0,10.145,0.132368 --7.36127,0.997531,0.730383,3,7,0,7.36216,0.401984 --7.00084,1,0.730383,1,1,0,7.29349,0.345026 --7.18459,0.966261,0.730383,1,1,0,7.19318,0.376874 --7.35873,0.966942,0.730383,1,1,0,7.39616,0.40165 --7.76334,0.922972,0.730383,1,1,0,7.7948,0.448685 --9.79138,0.793652,0.730383,3,7,0,10.2754,0.0437337 --9.96697,0.994219,0.730383,1,1,0,10.1012,0.0408803 --10.238,0.991762,0.730383,1,1,0,10.344,0.0368865 --9.13101,0.997004,0.730383,2,3,0,10.6056,0.0567986 --6.74812,0.999738,0.730383,3,7,0,9.0179,0.248234 --6.84965,0.979343,0.730383,1,3,0,6.93292,0.196657 --6.91065,0.99234,0.730383,1,1,0,6.91165,0.183598 --6.87321,1,0.730383,1,1,0,6.91225,0.191185 --6.88275,0.951175,0.730383,1,3,0,7.48109,0.318293 --6.82728,1,0.730383,1,1,0,6.87527,0.301819 --7.07615,0.867556,0.730383,1,3,0,7.92839,0.158863 --7.08135,0.999013,0.730383,3,7,0,7.08363,0.359967 --6.96752,1,0.730383,1,1,0,7.07311,0.338209 --7.13187,0.970055,0.730383,1,1,0,7.13854,0.368501 --7.32998,0.987576,0.730383,2,3,0,7.35497,0.397809 --7.16968,0.892573,0.730383,3,7,0,8.46386,0.374555 --7.08483,1,0.730383,1,1,0,7.19108,0.360573 --7.57825,0.958676,0.730383,2,5,0,7.5783,0.115614 --6.76647,0.963504,0.730383,1,3,0,8.08246,0.226516 --7.23779,0.929378,0.730383,2,5,0,7.5288,0.141659 --6.7481,0.973969,0.730383,1,3,0,7.64409,0.248404 --6.7481,0.924909,0.730383,1,3,0,7.35851,0.248404 --6.82623,0.984228,0.730383,1,3,0,6.88912,0.202863 --6.98349,0.953949,0.730383,2,3,0,7.32568,0.171391 --6.95084,1,0.730383,1,1,0,6.99531,0.176532 --6.74808,0.98937,0.730383,1,3,0,7.09901,0.248604 --6.75563,0.998398,0.730383,1,3,0,6.76312,0.265629 --6.89297,0.924691,0.730383,3,7,0,7.49006,0.320954 --6.78962,0.870971,0.730383,2,3,0,8.11613,0.287153 --7.00464,0.90603,0.730383,1,3,0,7.57396,0.16829 --7.23197,0.991084,0.730383,3,7,0,7.23209,0.384008 --7.86857,0.872862,0.730383,2,3,0,8.65544,0.45934 --7.41424,1,0.730383,1,1,0,7.81159,0.408831 --7.06679,1,0.730383,2,3,0,7.35101,0.3574 --6.86139,0.915901,0.730383,1,3,0,7.89095,0.193848 --6.81315,1,0.730383,1,1,0,6.85527,0.206792 --6.84795,0.966899,0.730383,1,3,0,7.20807,0.308446 --6.83404,1,0.730383,1,1,0,6.85578,0.304067 --6.78966,1,0.730383,1,1,0,6.82665,0.287175 --7.02193,0.903175,0.730383,1,3,0,7.61935,0.165872 --7.83651,0.940124,0.730383,2,3,0,7.90419,0.100982 --7.44214,1,0.730383,2,3,0,7.80353,0.124852 --6.75634,0.946073,0.730383,1,3,0,8.27485,0.266346 --6.76194,0.999107,0.730383,1,1,0,6.76211,0.271228 --6.91348,0.910398,0.730383,3,7,0,7.66238,0.183069 --6.91569,0.999732,0.730383,1,1,0,6.93673,0.18266 --7.17714,0.905758,0.730383,1,3,0,8.31689,0.37572 --6.75161,1,0.730383,3,7,0,7.1272,0.260687 --6.79623,0.995406,0.730383,2,3,0,6.8013,0.290081 --7.57015,0.918798,0.730383,2,3,0,7.70237,0.427622 --7.34184,1,0.730383,2,3,0,7.5801,0.399405 --6.7483,1,0.730383,2,3,0,7.25966,0.252966 --6.75546,0.997647,0.730383,2,3,0,6.76993,0.265449 --6.81311,0.994516,0.730383,3,7,0,6.81961,0.206805 --7.18242,0.917748,0.730383,1,3,0,7.92411,0.376539 --6.8573,0.996958,0.730383,3,7,0,7.25025,0.194805 --7.37789,0.955614,0.730383,2,3,0,7.4132,0.129697 --7.21925,1,0.730383,1,1,0,7.37415,0.143416 --7.87803,0.969707,0.730383,3,7,0,7.94245,0.460272 --8.37824,0.903494,0.730383,1,1,0,8.48061,0.504989 --8.54596,0.966488,0.730383,1,1,0,8.81662,0.518335 --7.55265,1,0.730383,1,1,0,8.35317,0.425602 --8.03343,0.907954,0.730383,1,1,0,8.08431,0.475083 --6.80059,0.942115,0.730383,3,7,0,8.81612,0.291911 --6.83019,0.960819,0.730383,1,3,0,7.14138,0.201748 --6.82835,1,0.730383,1,1,0,6.8404,0.202263 --6.87519,0.993971,0.730383,1,1,0,6.87621,0.190751 --7.46283,0.8853,0.730383,1,3,0,8.7428,0.41489 --6.81812,0.997114,0.730383,2,3,0,7.50663,0.298628 --7.26328,0.811367,0.730383,1,3,0,8.40574,0.139316 --7.05622,0.98196,0.730383,3,7,0,7.61934,0.355501 --6.87941,1,0.730383,1,1,0,7.02444,0.317406 --6.91996,0.992826,0.730383,1,1,0,6.93165,0.327591 --6.94295,0.995874,0.730383,1,1,0,6.96565,0.332872 --6.92004,0.902299,0.730383,1,3,0,7.81776,0.181863 --6.96336,0.994844,0.730383,1,1,0,6.97307,0.174505 --6.74975,0.990282,0.730383,1,3,0,7.08757,0.242707 --6.74843,0.999626,0.730383,3,7,0,6.75407,0.246429 --6.79973,0.995574,0.730383,2,7,0,6.79975,0.291557 --6.9535,0.979343,0.730383,2,3,0,7.02511,0.335199 --6.99539,0.992392,0.730383,1,1,0,7.01929,0.343939 --6.74971,0.953639,0.730383,2,3,0,7.46378,0.242787 --7.04234,0.94179,0.730383,1,3,0,7.27645,0.163138 --6.74805,0.983143,0.730383,1,3,0,7.28606,0.250994 --9.90277,0.775488,0.730383,2,3,0,10.0436,0.606977 --12.5935,0.39868,0.730383,2,5,0,17.787,0.0157619 --12.304,1,0.730383,2,3,0,12.7318,0.0174479 --11.266,1,0.730383,1,1,0,12.2855,0.0252583 --10.4092,1,0.730383,1,1,0,11.2482,0.0345931 --10.9033,0.987584,0.730383,1,1,0,10.9574,0.0288195 --6.74866,0.974442,0.730383,3,7,0,13.8057,0.245562 --6.75382,0.998382,0.730383,1,3,0,6.76365,0.263615 --6.80095,0.983276,0.730383,1,3,0,6.89745,0.210874 --7.27196,0.956406,0.730383,2,3,0,7.28707,0.138537 --7.3195,0.987422,0.730383,2,3,0,7.60703,0.134425 --7.5655,0.977997,0.730383,1,1,0,7.57068,0.116427 --6.81834,0.902542,0.730383,1,3,0,9.02551,0.298707 --6.81458,0.964119,0.730383,1,3,0,7.14395,0.206345 --7.99939,0.889774,0.730383,2,3,0,7.99952,0.0932062 --7.93979,1,0.730383,1,1,0,8.08704,0.0959419 --8.04964,0.992447,0.730383,1,1,0,8.12355,0.0909888 --8.13186,0.994574,0.730383,1,1,0,8.22249,0.0875242 --7.53725,0.995435,0.730383,2,3,0,8.34045,0.118266 --7.77612,0.973162,0.730383,3,7,0,8.23818,0.104123 --7.72208,1,0.730383,2,3,0,7.85032,0.107068 --7.70724,0.997461,0.730383,3,7,0,7.82048,0.442784 --7.68692,1,0.730383,3,7,0,7.69298,0.109058 --7.58751,1,0.730383,1,1,0,7.73168,0.11503 --7.35957,1,0.730383,1,1,0,7.57633,0.131144 --7.1349,1,0.730383,1,1,0,7.3378,0.152065 --6.99578,1,0.730383,1,1,0,7.12107,0.169569 --6.82142,0.953401,0.730383,1,3,0,7.62333,0.299801 --7.10826,0.859222,0.730383,1,3,0,7.99333,0.155058 --6.92995,0.979682,0.730383,3,7,0,7.47217,0.329922 --7.0538,0.992552,0.730383,2,3,0,7.06027,0.355063 --6.7951,0.991,0.730383,3,7,0,7.17352,0.213011 --7.34941,0.899261,0.730383,1,3,0,8.14892,0.400414 --7.73102,0.927275,0.730383,1,1,0,7.76395,0.445305 --8.6063,0.837565,0.730383,1,1,0,8.63866,0.522972 --6.75159,1,0.730383,3,7,0,8.39616,0.260654 --7.08525,0.912436,0.730383,1,3,0,7.51433,0.157761 --7.00858,1,0.730383,1,1,0,7.08762,0.167731 --7.11769,0.987788,0.730383,3,7,0,7.27081,0.153982 --6.88788,0.998742,0.730383,3,7,0,7.08493,0.319641 --7.02583,0.975481,0.730383,1,1,0,7.02714,0.349871 --6.87725,1,0.730383,1,1,0,6.99954,0.316825 --6.92066,0.984172,0.730383,2,3,0,7.07255,0.327754 --7.00745,0.982478,0.730383,2,7,0,7.15377,0.16789 --6.93492,1,0.730383,1,1,0,7.00444,0.179221 --7.0796,0.983375,0.730383,1,1,0,7.07961,0.158442 --7.08432,0.894332,0.730383,1,3,0,8.6346,0.360484 --7.03668,1,0.730383,1,1,0,7.11281,0.351912 --6.79558,0.755773,0.730383,2,3,0,9.47467,0.289802 --6.82596,0.96341,0.730383,1,3,0,7.11387,0.20294 --6.83361,0.996456,0.730383,2,3,0,6.89227,0.200807 --7.37544,0.894358,0.730383,1,3,0,8.38941,0.403841 --6.97177,0.975119,0.730383,2,3,0,7.65262,0.339103 --7.23466,0.781099,0.730383,1,3,0,8.92048,0.141951 --7.24729,0.998198,0.730383,3,7,0,7.2519,0.386246 --7.43908,0.963336,0.730383,1,1,0,7.4841,0.411954 --8.0446,0.886016,0.730383,1,1,0,8.06594,0.476112 --7.67668,1,0.730383,3,7,0,8.16296,0.439499 --6.75494,1,0.730383,2,3,0,7.53234,0.235496 --6.75494,0.900015,0.730383,1,3,0,7.60187,0.235496 --7.10423,0.938975,0.730383,1,3,0,7.34417,0.155522 --7.05853,0.996982,0.730383,3,7,0,7.17576,0.355918 --6.80717,0.945072,0.730383,1,3,0,7.64071,0.208737 --6.83773,0.969959,0.730383,1,3,0,7.16348,0.305259 --6.75317,0.989496,0.730383,1,3,0,6.9466,0.237462 --7.08087,0.941249,0.730383,1,3,0,7.31352,0.158288 --7.26505,0.980964,0.730383,1,1,0,7.2666,0.139157 --6.75721,0.997965,0.730383,3,7,0,7.19679,0.233316 --7.05173,0.932673,0.730383,2,3,0,7.51286,0.354685 --7.09497,0.991947,0.730383,1,1,0,7.13619,0.362322 --6.97592,1,0.730383,1,1,0,7.08616,0.339969 --7.0692,0.838537,0.730383,1,3,0,8.40168,0.159718 --7.47504,0.980949,0.730383,3,7,0,7.50465,0.416382 --6.75435,1,0.730383,2,3,0,7.39732,0.264238 --6.95399,0.98002,0.730383,2,3,0,6.96899,0.335305 --6.74984,1,0.730383,2,3,0,6.92183,0.24251 --6.75017,0.999082,0.730383,1,3,0,6.75934,0.258259 --6.92626,0.925135,0.730383,2,3,0,7.50519,0.329069 --7.03399,0.980585,0.730383,1,1,0,7.04188,0.351409 --7.00156,0.976042,0.730383,3,7,0,7.33014,0.345167 --7.29139,0.947047,0.730383,1,1,0,7.29286,0.392515 --7.38637,0.981653,0.730383,1,1,0,7.45971,0.405262 --6.76146,0.855795,0.730383,2,3,0,8.89637,0.229887 --6.86601,0.9714,0.730383,1,3,0,7.05784,0.313726 --6.85484,1,0.730383,1,1,0,6.87856,0.310508 --6.96508,0.980676,0.730383,1,1,0,6.96571,0.337691 --6.7673,0.863136,0.730383,2,3,0,8.26078,0.275063 --6.81142,0.975262,0.730383,1,3,0,6.98021,0.207344 --7.14783,0.932314,0.730383,2,3,0,7.51178,0.150662 --6.93945,0.966925,0.730383,2,3,0,7.6755,0.178442 --6.95864,0.99773,0.730383,1,1,0,6.97698,0.17526 --6.829,0.951964,0.730383,1,3,0,7.55551,0.302401 --6.78354,0.975921,0.730383,1,3,0,7.06496,0.21771 --7.16453,0.963881,0.730383,2,3,0,7.17592,0.148894 --7.00244,1,0.730383,2,3,0,7.14719,0.168605 --6.93061,1,0.730383,1,1,0,6.99925,0.179972 --6.74812,0.990579,0.730383,1,3,0,7.06024,0.248245 --6.76877,0.995654,0.730383,1,3,0,6.78773,0.276021 --6.75563,0.989592,0.730383,2,3,0,6.8677,0.26563 --6.85139,0.968491,0.730383,1,3,0,7.02368,0.196229 --6.86932,0.97198,0.730383,2,3,0,7.19666,0.192044 --8.60162,0.89433,0.730383,3,7,0,8.63927,0.0708903 --9.23409,0.975903,0.730383,3,7,0,9.82298,0.566919 --6.91201,1,0.730383,3,7,0,9.60739,0.183344 --7.02272,0.986969,0.730383,1,1,0,7.02313,0.165764 --6.74863,0.982123,0.730383,1,3,0,7.27326,0.254362 --7.08329,0.968917,0.730383,2,3,0,7.09146,0.360306 +# 0.446985 +-6.795512,0.99771733,1.1467501,1,1,0,6.806374,0.21285709 +-6.7488134,0.99841751,1.1467501,1,3,0,6.7892485,0.25499575 +-6.7488134,0.87609438,1.1467501,1,3,0,7.172353,0.25499575 +-6.8738615,0.94817027,1.1467501,2,3,0,6.9873229,0.19104178 +-6.8940539,0.99818575,1.1467501,2,3,0,6.9264894,0.18682006 +-7.002526,0.97232343,1.1467501,1,1,0,7.0249275,0.16859297 +-7.3544056,0.92264166,1.1467501,1,1,0,7.3679326,0.13155857 +-6.821478,1,1.1467501,1,3,0,7.2248759,0.20424571 +-6.8868782,0.98190991,1.1467501,1,1,0,6.898406,0.18827905 +-7.1249888,0.98047982,1.1467501,2,3,0,7.1323061,0.15316214 +-7.237772,0.99175768,1.1467501,2,3,0,7.3095744,0.14165993 +-7.2462932,0.99817881,1.1467501,1,1,0,7.3680648,0.14086773 +-7.1601014,1,1.1467501,1,1,0,7.3125929,0.14935814 +-7.6663804,0.90213054,1.1467501,1,1,0,7.6840958,0.11024805 +-6.8004146,0.9953315,1.1467501,1,3,0,7.500188,0.21106319 +-6.9302432,0.96417118,1.1467501,1,1,0,6.9323004,0.18003701 +-8.4024322,0.79187396,1.1467501,1,3,0,8.5088961,0.077362392 +-6.7714985,0.9757801,1.1467501,2,3,0,8.4992033,0.27771472 +-6.8465752,0.98808065,1.1467501,2,3,0,6.849455,0.30802596 +-7.9357311,0.78345365,1.1467501,2,3,0,8.0024648,0.096132728 +-6.754203,0.87785053,1.1467501,2,3,0,8.5791808,0.2362763 +-7.0349119,0.92545927,1.1467501,1,3,0,7.0699138,0.35158151 +-6.8530558,0.97565912,1.1467501,1,3,0,7.1689951,0.19582285 +-6.7625184,1,1.1467501,1,3,0,6.8259061,0.22912905 +-9.0577237,0.58316247,1.1467501,1,3,0,9.7307186,0.05852374 +-7.8646214,1,1.1467501,2,3,0,8.9061666,0.099570364 +-8.4737731,0.91692866,1.1467501,1,1,0,8.5536411,0.074956485 +-8.5703309,0.98848205,1.1467501,1,1,0,8.8591633,0.071857811 +-6.7480409,0.87033122,1.1467501,1,3,0,8.5574718,0.24922743 +-7.5190081,0.74413771,1.1467501,2,3,0,8.1869036,0.11947963 +-6.7590691,0.97850259,1.1467501,1,3,0,7.3929438,0.23173364 +-7.6992707,0.80129354,1.1467501,1,3,0,7.8419646,0.10835167 +-7.5765433,1,1.1467501,1,1,0,7.8316952,0.11572227 +-7.2913015,1,1.1467501,2,3,0,7.5882602,0.13683339 +-7.181925,1,1.1467501,1,1,0,7.3520642,0.147102 +-7.2835577,0.97833726,1.1467501,1,1,0,7.3696411,0.13751033 +-6.74907,0.99794811,1.1467501,2,3,0,7.2527078,0.25575249 +-6.8478443,0.90079892,1.1467501,2,3,0,7.140366,0.3084133 +-8.4186874,0.52561186,1.1467501,1,1,0,8.4228839,0.50827247 +-7.2499844,0.86546204,1.1467501,1,3,0,9.0580169,0.14052749 +-6.9015299,1,1.1467501,2,3,0,7.1667571,0.18534388 +-6.7824597,1,1.1467501,1,1,0,6.8676661,0.21818965 +-8.0744587,0.75614393,1.1467501,1,3,0,8.2653917,0.089922168 +-6.7590005,0.86932698,1.1467501,2,3,0,8.8425631,0.23178945 +-7.6097819,0.81847992,1.1467501,1,3,0,7.7293446,0.11364407 +-6.8651283,0.97667454,1.1467501,2,3,0,7.8466379,0.19298894 +-6.8388324,1,1.1467501,1,1,0,6.8796818,0.19941036 +-7.1525612,0.92110771,1.1467501,1,1,0,7.1526261,0.15015629 +-6.7487792,0.98829002,1.1467501,1,3,0,7.0819523,0.2451559 +-6.7481135,0.8282748,1.1467501,2,3,0,7.5986245,0.25169561 +-6.7953221,0.98561551,1.1467501,2,3,0,6.8238266,0.21292855 +-8.1253893,0.757586,1.1467501,1,3,0,8.3065392,0.087789969 +-7.6548519,1,1.1467501,1,1,0,8.1334475,0.11092584 +-6.7879638,0.98937083,1.1467501,1,3,0,7.4949852,0.21582747 +-7.0459478,0.92917486,1.1467501,2,3,0,7.2479698,0.35362757 +-6.9367873,1,1.1467501,1,1,0,7.0633479,0.33148526 +-6.7876045,1,1.1467501,1,1,0,6.8859846,0.28621837 +-7.3589255,0.80261128,1.1467501,1,1,0,7.3592522,0.40167484 +-6.915745,0.9659046,1.1467501,1,3,0,7.5484956,0.18264935 +-7.1181788,0.86834085,1.1467501,2,3,0,8.0893405,0.15392682 +-8.3738171,0.75344141,1.1467501,2,3,0,9.5781955,0.50462794 +-10.01175,0.70792083,1.1467501,2,3,0,10.610267,0.61297843 +-7.9991289,1,1.1467501,2,3,0,9.5608321,0.47189418 +-9.0026451,0.6431828,1.1467501,1,1,0,9.4735411,0.55154685 +-7.2169881,1,1.1467501,1,1,0,8.3491522,0.38178862 +-6.7498945,1,1.1467501,1,3,0,7.0593416,0.2577016 +-7.555784,0.49175498,1.1467501,2,3,0,9.6641303,0.1170538 +-7.5217638,0.90866138,1.1467501,1,3,0,8.5499791,0.42198597 +-6.7806886,1,1.1467501,1,3,0,7.391749,0.21899226 +-7.7133198,0.68448299,1.1467501,2,3,0,8.8978154,0.10755795 +-7.2748866,1,1.1467501,1,1,0,7.6685412,0.13827657 +-7.0640571,0.95517635,1.1467501,2,3,0,7.855773,0.16035792 +-7.1843741,0.99091059,1.1467501,2,3,0,7.2418103,0.14685363 +-6.9554948,1,1.1467501,1,1,0,7.1482368,0.17576887 +-6.9685916,0.92438555,1.1467501,2,3,0,7.8268145,0.17367831 +-6.7664909,0.98323386,1.1467501,1,3,0,6.9804204,0.27452099 +-6.7651918,0.95425235,1.1467501,2,3,0,6.921647,0.27362626 +-6.8387239,0.80583185,1.1467501,2,3,0,7.4912609,0.3055762 +-7.6271821,0.72952006,1.1467501,1,1,0,7.6346285,0.43406663 +-6.8877652,1,1.1467501,1,1,0,7.3482799,0.31961049 +-6.8877652,0.79680591,1.1467501,1,1,0,7.2484969,0.31961049 +-7.0618681,0.98153739,1.1467501,2,3,0,7.0629386,0.16063251 +-7.0307174,1,1.1467501,1,1,0,7.1237024,0.16467992 +-6.8776614,1,1.1467501,1,1,0,7.0044403,0.19021884 +-7.6891422,0.68226417,1.1467501,2,3,0,8.9524347,0.44084493 +-6.9264855,0.85692303,1.1467501,2,3,0,8.4233574,0.18070186 +-6.7881204,0.82343484,1.1467501,2,3,0,8.0219088,0.28646013 +-6.8406954,0.70156402,1.1467501,2,3,0,7.972085,0.30620036 # -# Elapsed Time: 0.010804 seconds (Warm-up) -# 0.026082 seconds (Sampling) -# 0.036886 seconds (Total) +# Elapsed Time: 0.001 seconds (Warm-up) +# 0 seconds (Sampling) +# 0.001 seconds (Total) # diff --git a/test/data/runset-bad/bad-draws-bern-4_config.json b/test/data/runset-bad/bad-draws-bern-4_config.json new file mode 100644 index 00000000..49dbabec --- /dev/null +++ b/test/data/runset-bad/bad-draws-bern-4_config.json @@ -0,0 +1,66 @@ + +{ + "stan_major_version" : "2", + "stan_minor_version" : "37", + "stan_patch_version" : "0", + "model_name" : "bernoulli_model", + "start_datetime" : "2026-07-20 16:58:36 UTC", + "method" : { + "value" : "sample", + "sample" : { + "num_samples" : 100, + "num_warmup" : 1000, + "save_warmup" : false, + "thin" : 1, + "adapt" : { + "engaged" : true, + "gamma" : 0.05, + "delta" : 0.8, + "kappa" : 0.75, + "t0" : 10, + "init_buffer" : 75, + "term_buffer" : 50, + "window" : 25, + "save_metric" : true + }, + "algorithm" : { + "value" : "hmc", + "hmc" : { + "engine" : { + "value" : "nuts", + "nuts" : { + "max_depth" : 10 + } + }, + "metric" : { + "value" : "diag_e" + }, + "metric_file" : "", + "stepsize" : 1, + "stepsize_jitter" : 0 + } + }, + "num_chains" : 1 + } + }, + "id" : 4, + "data" : { + "file" : "test\/data\/bernoulli.data.json" + }, + "init" : "2", + "random" : { + "seed" : 12345 + }, + "output" : { + "file" : "\/tmp\/tmpuisjazeu\/bernoullik799pfr2\/bernoulli-20260720125836_4.csv", + "diagnostic_file" : "", + "refresh" : 100, + "sig_figs" : 8, + "profile_file" : "profile.csv", + "save_cmdstan_config" : true + }, + "num_threads" : 1, + "mpi_enabled" : false, + "stanc_version" : "stanc3 v2.37.0", + "stancflags" : "--filename-in-msg=bernoulli.stan" +} diff --git a/test/data/runset-bad/bad-hdr-bern-1.csv b/test/data/runset-bad/bad-hdr-bern-1.csv index f0ca71d3..3d99419e 100644 --- a/test/data/runset-bad/bad-hdr-bern-1.csv +++ b/test/data/runset-bad/bad-hdr-bern-1.csv @@ -1,22 +1,24 @@ # stan_version_major = 2 -# stan_version_minor = 19 -# stan_version_patch = 1 +# stan_version_minor = 37 +# stan_version_patch = 0 # model = bernoulli_model +# start_datetime = 2026-07-20 16:58:36 UTC # method = sample (Default) # sample -# num_samples = 1000 (Default) +# num_samples = 100 # num_warmup = 1000 (Default) -# save_warmup = 0 (Default) +# save_warmup = false (Default) # thin = 1 (Default) # adapt -# engaged = 1 (Default) -# gamma = 0.050000000000000003 (Default) -# delta = 0.80000000000000004 (Default) +# engaged = true (Default) +# gamma = 0.05 (Default) +# delta = 0.8 (Default) # kappa = 0.75 (Default) # t0 = 10 (Default) # init_buffer = 75 (Default) # term_buffer = 50 (Default) # window = 25 (Default) +# save_metric = true # algorithm = hmc (Default) # hmc # engine = nuts (Default) @@ -26,1023 +28,130 @@ # metric_file = (Default) # stepsize = 1 (Default) # stepsize_jitter = 0 (Default) -# id = 1 +# num_chains = 1 (Default) +# id = 1 (Default) # data -# file = /Users/mitzi/github/stan-dev/cmdstanpy/test/files-data/bernoulli.data.R +# file = test/data/bernoulli.data.json # init = 2 (Default) # random -# seed = 73255 +# seed = 12345 # output -# file = /Users/mitzi/github/stan-dev/cmdstanpy/test/files-tmp/bernoulli.output-1.csv +# file = /tmp/tmpuisjazeu/bernoullik799pfr2/bernoulli-20260720125836_1.csv # diagnostic_file = (Default) # refresh = 100 (Default) +# sig_figs = 8 (Default) +# profile_file = profile.csv (Default) +# save_cmdstan_config = true +# num_threads = 1 (Default) +# stanc_version = stanc3 v2.37.0 +# stancflags = --filename-in-msg=bernoulli.stan lp__,accept_stat__,stepsize__,treedepth__,n_leapfrog__,divergent__,energy__,theta # Adaptation terminated -# Step size = 1.19013 +# Step size = 0.766137 # Diagonal elements of inverse mass matrix: -# 0.462508 --10.0146,0.410437,1.19013,2,3,0,10.0344,0.0401433 --10.6752,0.955973,1.19013,1,1,0,10.9525,0.031339 --8.74568,1,1.19013,1,1,0,10.4915,0.0666498 --7.73421,1,1.19013,1,1,0,8.61734,0.106395 --7.34483,1,1.19013,2,3,0,7.60295,0.399804 --6.99554,1,1.19013,2,3,0,7.51978,0.169604 --6.74872,0.97732,1.19013,2,3,0,7.01801,0.245352 --6.76043,0.996921,1.19013,1,3,0,6.76045,0.230662 --6.83182,0.976224,1.19013,1,1,0,6.83206,0.201297 --6.79336,0.956324,1.19013,2,3,0,7.0435,0.213677 --7.01549,0.931368,1.19013,2,3,0,7.15041,0.347891 --7.01549,0.365436,1.19013,1,1,0,8.21791,0.347891 --7.3596,0.930178,1.19013,2,3,0,7.46202,0.401764 --6.98922,1,1.19013,1,1,0,7.28028,0.342698 --6.75558,1,1.19013,1,3,0,6.92439,0.234847 --7.33725,0.866953,1.19013,1,3,0,7.37901,0.132952 --8.02633,0.976063,1.19013,2,3,0,8.42183,0.474426 --7.31014,0.728145,1.19013,2,3,0,9.23076,0.135215 --7.51101,0.956887,1.19013,1,1,0,7.61792,0.120019 --7.57802,0.995467,1.19013,2,3,0,7.75823,0.115629 --7.45469,1,1.19013,1,1,0,7.70648,0.123945 --7.55502,0.979303,1.19013,1,1,0,7.71498,0.117103 --6.75578,0.931522,1.19013,2,3,0,7.47384,0.265778 --7.05088,0.915238,1.19013,1,3,0,7.0509,0.35453 --7.05088,0.612489,1.19013,1,1,0,7.71201,0.35453 --6.89561,1,1.19013,1,1,0,7.03585,0.321627 --6.78269,1,1.19013,1,1,0,6.85708,0.283834 --6.7514,1,1.19013,2,3,0,6.77076,0.260364 --6.74963,1,1.19013,2,3,0,6.75101,0.242964 --6.80186,0.986489,1.19013,1,3,0,6.80255,0.210551 --6.81925,0.994391,1.19013,1,1,0,6.83484,0.204912 --6.78996,1,1.19013,1,1,0,6.82001,0.215013 --7.11492,0.889059,1.19013,2,3,0,7.42437,0.154296 --7.68905,0.876336,1.19013,1,1,0,7.70718,0.108935 --6.75086,0.929121,1.19013,1,3,0,7.53836,0.259502 --7.72929,0.792105,1.19013,2,3,0,8.00686,0.106667 --9.7905,0.90914,1.19013,1,3,0,9.80736,0.0437486 --11.0065,0.919326,1.19013,1,1,0,11.1297,0.0277538 --9.30788,1,1.19013,1,1,0,10.9032,0.0528858 --9.59785,0.973246,1.19013,1,1,0,9.94716,0.0471517 --9.40546,1,1.19013,1,1,0,9.9732,0.0508674 --8.45267,1,1.19013,1,1,0,9.39091,0.0756576 --9.97938,0.842376,1.19013,1,1,0,10.0002,0.0406869 --10.8173,0.945054,1.19013,1,1,0,11.0408,0.0297418 --9.42889,1,1.19013,1,1,0,10.786,0.0503966 --7.93532,1,1.19013,1,1,0,9.22541,0.096152 --7.00062,1,1.19013,1,3,0,7.71278,0.168867 --7.41238,0.817285,1.19013,2,3,0,8.24637,0.408595 --7.11349,1,1.19013,2,3,0,7.32868,0.154459 --6.7569,0.97402,1.19013,2,3,0,7.0648,0.266896 --7.03589,0.892641,1.19013,1,1,0,7.03589,0.351764 --6.80725,0.983881,1.19013,2,3,0,7.07461,0.208708 --6.7873,1,1.19013,1,1,0,6.81133,0.216103 --6.95321,0.841085,1.19013,2,3,0,7.46531,0.335136 --6.7617,1,1.19013,1,1,0,6.87601,0.271046 --6.99124,0.950864,1.19013,2,3,0,6.99176,0.343106 --6.99124,0.891079,1.19013,1,1,0,7.22303,0.343106 --6.99124,0.113716,1.19013,1,1,0,9.47029,0.343106 --6.99124,0.483539,1.19013,1,1,0,7.88825,0.343106 --6.90889,1,1.19013,2,3,0,7.01693,0.32493 --6.90183,1,1.19013,1,1,0,6.96853,0.323191 --6.98853,0.962906,1.19013,1,1,0,7.04691,0.342557 --6.80665,1,1.19013,1,1,0,6.9268,0.294339 --6.86195,0.993272,1.19013,2,3,0,6.86553,0.193717 --7.67071,0.815523,1.19013,1,3,0,7.81708,0.438852 --9.23833,0.464852,1.19013,1,1,0,9.64564,0.567192 --6.8282,1,1.19013,1,3,0,8.44376,0.202304 --7.7717,0.781927,1.19013,1,3,0,7.88491,0.449551 --6.82866,1,1.19013,1,3,0,7.56511,0.202174 --7.00807,0.947593,1.19013,1,1,0,7.0149,0.167803 --6.85711,1,1.19013,1,1,0,6.97878,0.194851 --6.83818,0.939362,1.19013,2,3,0,7.17446,0.199583 --7.20235,0.524802,1.19013,2,3,0,10.1435,0.145059 --6.74869,0.987868,1.19013,2,3,0,7.23623,0.254593 --8.03185,0.68395,1.19013,1,3,0,8.03801,0.474937 --7.52093,1,1.19013,1,1,0,8.12592,0.421888 --6.9844,0.963867,1.19013,1,3,0,7.67645,0.171254 --6.77415,1,1.19013,2,3,0,6.967,0.279272 --6.9204,0.941697,1.19013,1,1,0,6.9248,0.327694 --6.90386,1,1.19013,2,3,0,6.9762,0.323694 --7.75806,0.817665,1.19013,2,3,0,7.8498,0.105092 --8.59839,0.901344,1.19013,2,3,0,8.6448,0.522369 --6.89818,1,1.19013,2,3,0,7.8504,0.322278 --6.776,1,1.19013,2,3,0,6.85354,0.280315 --6.776,0.272218,1.19013,1,1,0,8.35246,0.280315 --7.43254,0.848551,1.19013,2,3,0,7.6024,0.125554 --6.76253,0.997795,1.19013,2,3,0,7.36723,0.271687 --6.76253,0.422606,1.19013,1,3,0,8.37917,0.271687 --6.77741,0.994174,1.19013,1,1,0,6.78173,0.281091 --6.76602,1,1.19013,1,1,0,6.77882,0.274202 --7.85756,0.793535,1.19013,2,3,0,7.85768,0.458248 --8.59173,0.697645,1.19013,1,1,0,9.09706,0.52186 --8.0629,1,1.19013,1,1,0,8.93958,0.477788 --7.34435,0.997365,1.19013,2,3,0,8.66313,0.132372 --6.93663,1,1.19013,1,1,0,7.24523,0.178926 --6.76843,0.729816,1.19013,2,3,0,8.59354,0.275803 --6.75915,0.728485,1.19013,2,3,0,7.63927,0.268954 --6.75915,0.639255,1.19013,1,3,0,8.09114,0.268954 --6.75047,1,1.19013,1,1,0,6.75623,0.258812 --8.24861,0.647514,1.19013,1,3,0,8.61666,0.0829228 --9.80426,0.880548,1.19013,2,3,0,10.0348,0.601435 --8.092,1,1.19013,1,1,0,9.57834,0.480429 --6.76947,1,1.19013,2,3,0,7.51415,0.276464 --7.99262,0.750854,1.19013,2,3,0,8.22766,0.0935109 --10.7565,0.899809,1.19013,1,3,0,10.8383,0.0304143 --6.74839,0.750423,1.19013,2,3,0,11.7736,0.253393 --7.26417,0.8591,1.19013,1,3,0,7.26939,0.388675 --6.7481,1,1.19013,1,3,0,7.0642,0.251568 --6.75583,0.99721,1.19013,2,3,0,6.75922,0.234605 --7.05477,0.920134,1.19013,1,3,0,7.07754,0.355238 --6.75727,1,1.19013,1,1,0,6.93336,0.267254 --6.77153,0.994468,1.19013,1,1,0,6.77394,0.277737 --8.59478,0.693462,1.19013,2,3,0,8.59527,0.522093 --6.96201,1,1.19013,1,3,0,8.3429,0.174719 --6.96201,0.816064,1.19013,1,3,0,8.02441,0.174719 --7.06975,0.990294,1.19013,2,3,0,7.11625,0.159649 --7.46897,0.972881,1.19013,2,3,0,7.659,0.415642 --12.4917,0.093004,1.19013,1,1,0,12.7314,0.721763 --7.03102,1,1.19013,2,3,0,9.97787,0.350851 --11.144,0.452732,1.19013,2,3,0,11.2262,0.668441 --6.89715,1,1.19013,1,1,0,9.17811,0.322016 --6.76829,1,1.19013,1,1,0,6.84761,0.27571 --6.75049,0.936871,1.19013,2,3,0,6.94075,0.258854 --6.78067,0.989249,1.19013,2,3,0,6.7997,0.219001 --6.74922,0.998731,1.19013,1,3,0,6.77429,0.256146 --6.74844,1,1.19013,2,3,0,6.74902,0.253616 --6.74803,0.725549,1.19013,2,3,0,8.04685,0.250323 --7.50906,0.799747,1.19013,1,3,0,7.51764,0.420479 --6.85397,1,1.19013,1,1,0,7.24412,0.310252 --6.91439,0.974589,1.19013,1,1,0,6.95335,0.326261 --7.24528,0.862257,1.19013,1,1,0,7.3024,0.385953 --9.63142,0.475981,1.19013,2,3,0,9.65527,0.0465369 --6.74811,0.761111,1.19013,2,3,0,10.0257,0.251688 --6.74811,0.733241,1.19013,1,3,0,7.37442,0.251688 --6.74811,0.772964,1.19013,1,3,0,7.49186,0.251688 --6.79515,0.977363,1.19013,2,3,0,6.8419,0.212995 --6.82094,0.94474,1.19013,2,3,0,7.04149,0.204404 --6.99752,0.840819,1.19013,2,3,0,7.66026,0.344366 --6.99752,0.160161,1.19013,1,3,0,10.8087,0.344366 --6.9425,0.655759,1.19013,2,3,0,8.25817,0.177924 --7.07909,0.908026,1.19013,2,3,0,7.66413,0.158504 --7.13938,0.994864,1.19013,2,3,0,7.22451,0.151576 --6.76312,0.738931,1.19013,2,3,0,8.95831,0.272129 --6.76312,0.628992,1.19013,1,3,0,8.14472,0.272129 --8.07428,0.566079,1.19013,1,1,0,8.07428,0.478824 --7.09249,1,1.19013,1,1,0,7.74161,0.361898 --7.37601,0.94414,1.19013,2,3,0,7.51518,0.403916 --7.7041,0.652216,1.19013,2,3,0,8.73735,0.108078 --8.27341,0.907274,1.19013,1,1,0,8.36975,0.0819895 --8.71069,0.941978,1.19013,1,1,0,8.90842,0.0676489 --6.85042,0.909183,1.19013,1,3,0,8.40087,0.196467 --6.81658,1,1.19013,1,1,0,6.85754,0.205723 --6.93955,0.981136,1.19013,2,3,0,7.00691,0.332109 --8.67709,0.497216,1.19013,2,3,0,9.76961,0.0686263 --10.0705,0.865346,1.19013,1,1,0,10.1143,0.0392991 --7.15074,1,1.19013,2,3,0,9.0054,0.371555 --6.84841,0.966206,1.19013,2,3,0,7.28836,0.196963 --7.26649,0.871542,1.19013,2,3,0,7.78026,0.139027 --8.02647,0.668226,1.19013,2,3,0,9.74113,0.474439 --7.01345,1,1.19013,2,3,0,7.64681,0.347496 --6.75158,1,1.19013,1,3,0,6.93038,0.239553 --6.75158,0.615771,1.19013,1,3,0,7.77495,0.239553 --6.84306,0.789742,1.19013,2,3,0,7.49172,0.306941 --7.02109,0.926137,1.19013,1,1,0,7.05105,0.348967 --7.54873,0.783137,1.19013,1,1,0,7.65127,0.425147 --8.81341,0.539335,1.19013,1,1,0,9.16427,0.538288 --6.97022,1,1.19013,1,3,0,8.49628,0.173424 --6.80385,1,1.19013,1,1,0,6.92206,0.209861 --7.15933,0.475294,1.19013,2,3,0,9.75142,0.372923 --8.3506,0.565323,1.19013,1,1,0,8.51405,0.502722 --6.8505,1,1.19013,1,1,0,7.68786,0.309217 --6.8505,0.451775,1.19013,1,1,0,7.80779,0.309217 --6.8505,0.655213,1.19013,1,1,0,7.38941,0.309217 --6.99593,0.973496,1.19013,2,3,0,7.02997,0.344049 --7.02477,0.987243,1.19013,1,1,0,7.12754,0.34967 --7.02477,0.246219,1.19013,1,1,0,8.65387,0.34967 --6.84767,1,1.19013,2,3,0,6.98019,0.308359 --7.69093,0.684382,1.19013,1,1,0,7.71567,0.441037 --6.74802,1,1.19013,1,3,0,7.315,0.249836 --6.77346,0.987551,1.19013,2,3,0,6.79663,0.278876 --6.88834,0.954159,1.19013,1,1,0,6.8931,0.319759 --6.76076,0.66862,1.19013,2,3,0,7.95048,0.230412 --7.40117,0.83622,1.19013,1,3,0,7.43564,0.407166 --6.74847,1,1.19013,1,3,0,7.15325,0.246274 --6.7578,0.995412,1.19013,2,3,0,6.76723,0.232793 --6.8846,0.965886,1.19013,1,3,0,6.90485,0.318783 --7.30123,0.830283,1.19013,1,1,0,7.34417,0.393881 --6.77051,1,1.19013,2,3,0,7.07766,0.277109 --6.86553,0.962177,1.19013,1,1,0,6.86976,0.313591 --6.75055,1,1.19013,1,3,0,6.83274,0.241183 --7.97532,0.721016,1.19013,1,3,0,8.16924,0.0942966 --6.85064,0.980794,1.19013,1,3,0,7.71475,0.196411 --6.98669,0.822231,1.19013,2,3,0,7.80617,0.342184 --6.81998,1,1.19013,2,3,0,6.93657,0.29929 --6.81998,0.694109,1.19013,1,1,0,7.29119,0.29929 --6.75075,0.92253,1.19013,2,3,0,7.07968,0.259307 --6.78091,0.988456,1.19013,1,1,0,6.78098,0.282931 --6.74856,0.996336,1.19013,2,3,0,6.79092,0.245931 --6.74944,0.999866,1.19013,2,3,0,6.74966,0.256685 --6.74944,0.914723,1.19013,1,3,0,6.98861,0.256685 --6.87284,0.964842,1.19013,1,3,0,6.87359,0.315623 --7.00912,0.557372,1.19013,2,3,0,8.71556,0.167654 --7.1387,0.981109,1.19013,2,3,0,7.13951,0.369615 --7.35225,0.905484,1.19013,1,1,0,7.51446,0.400792 --7.12468,1,1.19013,2,3,0,7.25713,0.153197 --6.92359,1,1.19013,1,1,0,7.09362,0.18122 --7.08306,0.956584,1.19013,1,1,0,7.11256,0.158024 --7.19378,0.972305,1.19013,1,1,0,7.26955,0.145909 --7.52131,0.912193,1.19013,2,3,0,8.09296,0.421932 --7.04296,0.59435,1.19013,2,3,0,8.98194,0.163057 --7.03963,1,1.19013,2,3,0,7.12954,0.163495 --8.2984,0.746841,1.19013,1,3,0,8.62057,0.498381 --7.06237,0.98186,1.19013,1,3,0,8.34434,0.160569 --6.74813,0.984489,1.19013,2,3,0,7.13363,0.2482 --6.91531,0.464306,1.19013,2,3,0,9.67489,0.326482 --7.08275,0.928655,1.19013,1,1,0,7.1441,0.360212 --8.04638,0.63374,1.19013,1,1,0,8.17463,0.476275 --7.34704,1,1.19013,2,3,0,8.37598,0.132153 --7.86283,0.90224,1.19013,1,3,0,8.47581,0.458771 --6.79432,1,1.19013,1,3,0,7.55085,0.213307 --6.7809,1,1.19013,2,3,0,6.7993,0.218895 --6.94848,0.725307,1.19013,2,3,0,7.89947,0.3341 --6.78158,0.702244,1.19013,2,3,0,7.87713,0.218587 --6.81825,0.996002,1.19013,2,3,0,6.82528,0.205212 --6.74807,0.993984,1.19013,2,3,0,6.82303,0.25121 --7.94706,0.702772,1.19013,1,3,0,7.95581,0.466969 --7.10315,1,1.19013,2,3,0,7.68608,0.363718 --7.03704,1,1.19013,1,1,0,7.19293,0.351979 --7.38998,0.84989,1.19013,1,1,0,7.50217,0.405727 --7.09678,1,1.19013,1,1,0,7.39493,0.362633 --7.09678,0.54629,1.19013,1,1,0,7.89487,0.362633 --6.84333,1,1.19013,2,3,0,7.015,0.307026 --7.35679,0.893721,1.19013,2,3,0,7.3817,0.401392 --6.9779,0.84556,1.19013,2,3,0,7.98673,0.172239 --7.36427,0.905408,1.19013,1,1,0,7.38017,0.13077 --6.75136,0.941474,1.19013,2,3,0,7.41086,0.239885 --6.8837,0.874761,1.19013,2,3,0,7.30101,0.318544 --6.80684,1,1.19013,2,3,0,6.87995,0.208845 --7.20812,0.924255,1.19013,1,3,0,7.20889,0.144494 --6.76555,0.954553,1.19013,2,3,0,7.32401,0.227098 --6.76555,0.734468,1.19013,1,3,0,7.48838,0.227098 --7.35844,0.848845,1.19013,1,3,0,7.39885,0.401611 --7.94172,0.420004,1.19013,2,3,0,9.75424,0.0958517 --7.71125,1,1.19013,1,1,0,8.07347,0.107674 --9.16275,0.79751,1.19013,1,1,0,9.16494,0.0560709 --6.86644,0.870519,1.19013,1,3,0,8.8598,0.19269 --6.76545,1,1.19013,1,1,0,6.83322,0.227161 --7.07157,0.920019,1.19013,1,3,0,7.10716,0.358247 --7.1414,0.989576,1.19013,2,3,0,7.27661,0.370053 --7.48394,0.851856,1.19013,1,1,0,7.64505,0.417463 --6.80375,1,1.19013,1,3,0,7.33555,0.209896 --7.1002,0.914157,1.19013,1,1,0,7.10023,0.155991 --7.41901,0.926142,1.19013,1,1,0,7.46364,0.126556 --6.75683,0.935032,1.19013,2,3,0,7.50318,0.233658 --6.766,0.996808,1.19013,1,1,0,6.7681,0.226812 --6.81299,0.993286,1.19013,2,3,0,6.81505,0.206845 --6.81299,0.870946,1.19013,1,3,0,7.33669,0.206845 --6.78542,1,1.19013,1,1,0,6.81307,0.216895 --6.80048,0.997973,1.19013,2,3,0,6.80051,0.291868 --6.78003,1,1.19013,1,1,0,6.80302,0.282481 --6.76165,0.951611,1.19013,2,3,0,6.94909,0.271001 --6.78946,0.989092,1.19013,1,1,0,6.79277,0.287082 --7.27712,0.8111,1.19013,1,1,0,7.28301,0.390513 --7.74664,0.799268,1.19013,1,1,0,7.97083,0.446945 --6.936,0.984577,1.19013,1,3,0,7.74722,0.179033 --6.99341,0.994623,1.19013,2,3,0,7.04167,0.169916 --7.11527,0.967917,1.19013,1,1,0,7.16725,0.154256 --7.57359,0.898548,1.19013,1,1,0,7.60318,0.11591 --7.57359,0.773727,1.19013,1,3,0,10.4723,0.11591 --7.15338,1,1.19013,2,3,0,7.51726,0.150069 --6.78652,0.968355,1.19013,2,3,0,7.38636,0.21643 --6.95378,0.957048,1.19013,2,3,0,7.01325,0.33526 --6.95378,0.940156,1.19013,1,1,0,7.10992,0.33526 --7.31845,0.847602,1.19013,1,1,0,7.3925,0.396246 --6.75366,1,1.19013,1,3,0,7.08601,0.263422 --9.38648,0.540923,1.19013,2,3,0,9.63777,0.0512526 --7.67369,1,1.19013,1,3,0,9.12047,0.109822 --6.92408,1,1.19013,1,3,0,7.48145,0.181132 --6.83181,1,1.19013,2,3,0,6.89628,0.303335 --8.01456,0.748652,1.19013,2,3,0,8.17171,0.0925283 --7.14894,1,1.19013,1,1,0,7.8287,0.150543 --6.78036,1,1.19013,1,3,0,7.03797,0.219144 --6.83564,0.94199,1.19013,2,3,0,7.03992,0.20026 --6.7689,1,1.19013,2,3,0,6.82752,0.276106 --6.76286,1,1.19013,2,3,0,6.76656,0.228892 --8.83627,0.563481,1.19013,1,3,0,8.87843,0.539925 --7.01211,1,1.19013,1,3,0,8.59496,0.167233 --7.01211,0.610417,1.19013,1,3,0,9.57804,0.167233 --7.01211,0.860922,1.19013,1,3,0,7.94703,0.167233 --7.01211,0.96221,1.19013,1,1,0,7.17252,0.167233 --6.91175,1,1.19013,1,1,0,7.01831,0.183392 --6.82056,1,1.19013,1,1,0,6.89582,0.204518 --6.77343,1,1.19013,1,1,0,6.80882,0.222551 --6.75559,0.982473,1.19013,2,3,0,6.84029,0.234833 --6.83581,0.924705,1.19013,2,3,0,7.03857,0.304641 --7.17025,0.864339,1.19013,1,1,0,7.19415,0.374645 --7.13076,1,1.19013,1,1,0,7.31564,0.368321 --6.86292,1,1.19013,1,1,0,7.04951,0.312851 --6.86292,0.804658,1.19013,1,1,0,7.16695,0.312851 --6.75012,0.851155,1.19013,2,3,0,7.38293,0.241966 --6.7758,0.991825,1.19013,2,3,0,6.78516,0.280203 --6.79455,0.992527,1.19013,1,1,0,6.80374,0.289358 --6.75932,0.911881,1.19013,2,3,0,7.10024,0.269097 --7.66809,0.757254,1.19013,1,3,0,7.66818,0.438566 --7.34215,1,1.19013,1,1,0,7.76942,0.399446 --6.97178,1,1.19013,1,1,0,7.25555,0.339106 --6.85525,1,1.19013,2,3,0,6.95772,0.195293 --7.1098,0.929162,1.19013,1,1,0,7.11641,0.15488 --6.82818,0.960545,1.19013,2,3,0,7.44141,0.20231 --7.09648,0.931148,1.19013,2,3,0,7.23062,0.362582 --6.89255,1,1.19013,2,3,0,7.13454,0.187123 --6.89255,0.8708,1.19013,1,3,0,7.5535,0.187123 --7.02285,0.984664,1.19013,2,3,0,7.04139,0.349304 --6.74842,1,1.19013,1,3,0,6.9254,0.246479 --6.97306,0.438051,1.19013,2,3,0,10.0665,0.339372 --6.78709,0.608182,1.19013,2,3,0,8.29286,0.216189 --7.00907,0.888806,1.19013,2,3,0,7.35668,0.346644 --7.6528,0.741621,1.19013,1,1,0,7.74875,0.436896 --7.70322,0.975885,1.19013,1,1,0,8.11432,0.442355 --6.75721,1,1.19013,1,3,0,7.36516,0.233319 --7.15719,0.907558,1.19013,1,3,0,7.1751,0.149665 --7.01738,1,1.19013,2,3,0,7.17525,0.166499 --7.08563,0.9172,1.19013,2,3,0,7.75817,0.157715 --8.24468,0.891265,1.19013,1,3,0,8.24841,0.0830718 --8.54396,0.958546,1.19013,1,1,0,8.77664,0.072687 --7.13593,0.951537,1.19013,2,3,0,8.9506,0.369164 --7.13593,0.932467,1.19013,1,1,0,7.37943,0.369164 --6.93533,1,1.19013,1,1,0,7.11571,0.331154 --6.77369,0.986194,1.19013,2,3,0,6.96925,0.222414 --6.79664,0.992346,1.19013,1,1,0,6.80268,0.212437 --6.77888,1,1.19013,1,1,0,6.79897,0.219836 --6.75219,0.999455,1.19013,2,3,0,6.78159,0.26153 --6.75219,0.216,1.19013,1,3,0,9.98458,0.26153 --8.88338,0.533039,1.19013,1,3,0,8.88602,0.543268 --7.15725,1,1.19013,2,3,0,8.21366,0.372594 --7.02034,1,1.19013,1,1,0,7.20476,0.348825 --6.90597,1,1.19013,1,1,0,7.02929,0.324215 --6.74995,1,1.19013,1,3,0,6.8575,0.242292 --7.69356,0.777413,1.19013,1,3,0,7.82105,0.108677 --7.42314,1,1.19013,1,1,0,7.75179,0.126249 --7.42314,0.911069,1.19013,1,1,0,7.8757,0.126249 --8.0848,0.937445,1.19013,2,3,0,8.21227,0.479779 --6.75302,1,1.19013,1,3,0,7.57242,0.237649 --6.85236,0.763219,1.19013,2,3,0,7.60538,0.309773 --6.74802,0.913536,1.19013,2,3,0,7.13999,0.2498 --7.28469,0.862205,1.19013,2,3,0,7.53741,0.137411 --8.43037,0.797346,1.19013,1,1,0,8.43094,0.0764078 --6.75886,0.988358,1.19013,2,3,0,8.29235,0.268698 --6.75886,0.796445,1.19013,1,3,0,7.3768,0.268698 --6.75592,1,1.19013,2,3,0,6.75773,0.23451 --6.83858,0.921052,1.19013,2,3,0,7.05272,0.30553 --6.75913,0.957692,1.19013,2,3,0,6.97229,0.231682 --6.79133,0.989036,1.19013,1,1,0,6.79257,0.214469 --6.97699,0.718288,1.19013,2,3,0,7.97212,0.340191 --6.97699,0.197431,1.19013,1,1,0,8.83995,0.340191 --6.90957,1,1.19013,1,1,0,7.01025,0.325098 --6.9636,0.976764,1.19013,1,1,0,7.02691,0.337376 --7.06509,0.985276,1.19013,2,3,0,7.1502,0.357097 --7.11866,0.975991,1.19013,1,1,0,7.25154,0.366323 --8.64896,0.48067,1.19013,1,1,0,8.79187,0.526201 --6.91483,1,1.19013,2,3,0,7.88895,0.326367 --6.76832,0.650489,1.19013,2,3,0,8.0505,0.225398 --6.95169,0.879213,1.19013,2,3,0,7.35008,0.334803 --6.95169,0.315695,1.19013,1,1,0,8.30121,0.334803 --7.3867,0.910057,1.19013,2,3,0,7.45878,0.405304 --7.02906,1,1.19013,2,3,0,7.48009,0.164904 --7.85982,0.821539,1.19013,1,1,0,7.85995,0.0998093 --8.62166,0.888277,1.19013,1,1,0,8.70146,0.0702798 --6.84445,0.915271,1.19013,1,3,0,8.31456,0.197958 --6.97094,0.987001,1.19013,2,3,0,7.01224,0.33893 --7.50182,0.783744,1.19013,1,1,0,7.58144,0.419614 --7.33241,1,1.19013,2,3,0,7.6762,0.398137 --6.9032,1,1.19013,1,1,0,7.19036,0.323532 --7.60911,0.725218,1.19013,1,1,0,7.65738,0.432047 --7.04441,1,1.19013,1,1,0,7.45905,0.353344 --6.8273,0.852412,1.19013,2,3,0,7.53421,0.202559 --6.8273,0.760127,1.19013,1,3,0,7.62704,0.202559 --7.68351,0.808828,1.19013,2,3,0,8.22292,0.109254 --6.87975,1,1.19013,1,3,0,7.47569,0.189772 --6.8569,1,1.19013,2,3,0,6.90445,0.1949 --7.8801,0.769784,1.19013,1,3,0,8.02304,0.460477 --6.9868,0.978411,1.19013,1,3,0,7.92711,0.170894 --7.12643,0.963325,1.19013,1,1,0,7.17387,0.153002 --7.00639,0.941951,1.19013,2,3,0,7.75835,0.168041 --6.92171,1,1.19013,1,1,0,7.02215,0.181559 --6.93436,0.99633,1.19013,1,1,0,6.98702,0.179319 --7.1597,0.940461,1.19013,1,1,0,7.18364,0.1494 --7.59857,0.960828,1.19013,2,3,0,7.72213,0.430859 --6.75526,1,1.19013,1,3,0,7.24431,0.265242 --6.75287,0.767152,1.19013,2,3,0,7.75354,0.262436 --6.78731,0.613017,1.19013,2,3,0,8.2586,0.286082 --7.00127,0.955661,1.19013,2,3,0,7.0089,0.345111 --6.83331,0.993823,1.19013,2,3,0,7.09214,0.200888 --6.95584,0.96362,1.19013,1,1,0,6.96816,0.175713 --7.22592,0.977734,1.19013,2,3,0,7.3426,0.383116 --7.44602,0.901631,1.19013,1,1,0,7.6492,0.412817 --6.76543,1,1.19013,1,3,0,7.23252,0.227171 --6.82606,0.979919,1.19013,1,1,0,6.82736,0.202912 --6.82431,0.761758,1.19013,2,3,0,8.08168,0.300805 --6.74866,0.730173,1.19013,2,3,0,7.65286,0.245566 --6.76053,0.992451,1.19013,2,3,0,6.77746,0.270107 --9.47599,0.448536,1.19013,1,3,0,9.4763,0.582102 --9.47599,0.0841293,1.19013,1,3,0,13.127,0.582102 --8.02415,1,1.19013,2,3,0,9.34585,0.474224 --7.15839,1,1.19013,1,1,0,7.77622,0.372774 --8.18322,0.770379,1.19013,2,3,0,8.34692,0.488526 --7.12516,1,1.19013,1,1,0,7.827,0.367398 --6.86412,0.845348,1.19013,2,3,0,7.66381,0.19322 --6.86412,0.863451,1.19013,1,3,0,7.51559,0.19322 --6.75045,0.987964,1.19013,2,3,0,6.89606,0.241352 --6.92128,0.95306,1.19013,1,3,0,6.93252,0.327901 --6.92128,0.151292,1.19013,1,1,0,9.07835,0.327901 --9.2525,0.334109,1.19013,1,1,0,9.30351,0.568105 --6.7756,1,1.19013,1,3,0,8.3128,0.221436 --7.54432,0.819922,1.19013,2,3,0,7.96901,0.117801 --6.97552,1,1.19013,1,1,0,7.40525,0.172602 --6.80185,1,1.19013,1,1,0,6.92443,0.210556 --6.96673,0.95021,1.19013,1,1,0,6.96973,0.173971 --6.75014,0.989644,1.19013,1,3,0,6.91887,0.258204 --6.87967,0.962995,1.19013,1,3,0,6.88014,0.317474 --6.74907,1,1.19013,1,3,0,6.82987,0.255764 --6.80953,0.979834,1.19013,2,3,0,6.82986,0.207955 --8.09921,0.654969,1.19013,2,3,0,8.99156,0.0888766 --7.23836,1,1.19013,1,1,0,7.92931,0.141605 --6.99004,1,1.19013,2,3,0,7.15485,0.342864 --6.82163,0.981638,1.19013,2,3,0,7.12496,0.204201 --6.83875,0.994593,1.19013,1,1,0,6.86059,0.199432 --6.8102,0.948894,1.19013,2,3,0,7.0913,0.20774 --7.3709,0.850052,1.19013,2,3,0,7.84266,0.130246 --7.15876,1,1.19013,1,1,0,7.3941,0.149499 --7.01079,1,1.19013,1,1,0,7.17166,0.167419 --6.80754,1,1.19013,2,3,0,6.9509,0.208612 --6.80754,0.932262,1.19013,1,1,0,6.96931,0.208612 --6.75087,1,1.19013,1,3,0,6.78813,0.240654 --6.75992,0.74572,1.19013,2,3,0,7.95901,0.269608 --6.75992,0.809406,1.19013,1,3,0,7.33032,0.269608 --6.75433,0.780175,1.19013,2,3,0,7.6718,0.264207 --6.83713,0.967861,1.19013,1,1,0,6.83732,0.305068 --6.83713,0.0723057,1.19013,1,1,0,9.86764,0.305068 --6.86639,0.624574,1.19013,2,3,0,8.36703,0.192702 --6.77539,1,1.19013,1,1,0,6.83856,0.221544 --6.76941,1,1.19013,1,1,0,6.78,0.224757 --7.07929,0.919671,1.19013,1,3,0,7.11976,0.359607 --7.67652,0.870818,1.19013,2,3,0,7.80543,0.439482 --6.77162,1,1.19013,1,1,0,7.28661,0.27779 --6.8761,0.974745,1.19013,2,3,0,6.90761,0.190556 --6.7826,0.98383,1.19013,2,3,0,7.00706,0.218125 --7.42209,0.841449,1.19013,1,3,0,7.48353,0.409823 --6.75755,1,1.19013,1,3,0,7.14384,0.267513 --9.43847,0.40553,1.19013,2,3,0,10.4435,0.0502056 --7.00715,0.908529,1.19013,1,3,0,9.11629,0.167934 --7.09293,0.992434,1.19013,2,3,0,7.15475,0.156845 --7.55382,0.976181,1.19013,2,3,0,7.90337,0.425738 --7.07179,0.731816,1.19013,2,3,0,8.56417,0.159397 --7.8145,0.947275,1.19013,2,3,0,7.81824,0.102109 --7.37566,1,1.19013,1,1,0,7.79824,0.129871 --7.55324,0.962845,1.19013,1,1,0,7.67842,0.117219 --6.7576,0.964243,1.19013,1,3,0,7.3681,0.232969 --6.80835,0.982826,1.19013,1,1,0,6.80866,0.208345 --6.80835,0.779981,1.19013,1,3,0,7.72422,0.208345 --6.74802,0.701702,1.19013,2,3,0,8.53482,0.249846 --6.74802,0.913359,1.19013,1,3,0,6.94453,0.249846 --7.46667,0.810026,1.19013,1,3,0,7.47551,0.415362 --6.74883,1,1.19013,1,3,0,7.17801,0.255038 --6.79485,0.782623,1.19013,2,3,0,7.45746,0.289488 --6.85577,0.975222,1.19013,1,1,0,6.8702,0.310783 --6.74811,0.895596,1.19013,2,3,0,7.20844,0.24838 --7.11199,0.88437,1.19013,2,3,0,7.26075,0.15463 --6.86439,0.95564,1.19013,2,3,0,7.51427,0.193157 --6.86334,0.931218,1.19013,2,3,0,7.23155,0.193398 --7.20212,0.908603,1.19013,1,1,0,7.20552,0.145082 --7.46669,0.980368,1.19013,2,3,0,7.53959,0.123089 --7.7461,0.945671,1.19013,1,1,0,7.8655,0.105742 --8.5374,0.841712,1.19013,1,3,0,9.55312,0.517671 --6.81253,1,1.19013,1,3,0,7.99524,0.20699 --7.28423,0.864242,1.19013,2,3,0,7.74308,0.137451 --6.7543,0.982091,1.19013,1,3,0,7.14689,0.236169 --6.82676,0.980194,1.19013,1,3,0,6.83992,0.301643 --6.82676,0.289148,1.19013,1,1,0,8.28801,0.301643 --8.60411,0.444164,1.19013,1,1,0,8.6194,0.522805 --6.76514,1,1.19013,1,1,0,7.79303,0.27359 --11.3177,0.298197,1.19013,2,3,0,11.4153,0.0247915 --14.8395,0.66893,1.19013,1,3,0,14.9042,0.00726539 --9.38039,1,1.19013,2,3,0,15.0861,0.0513771 --8.68314,1,1.19013,2,3,0,9.47514,0.0684488 --7.16501,0.906941,1.19013,2,3,0,10.1736,0.148844 --7.247,0.966744,1.19013,2,3,0,8.25868,0.140802 --7.10403,1,1.19013,1,1,0,7.2859,0.155546 --7.80948,0.851392,1.19013,1,1,0,7.81725,0.102369 --6.79438,0.96647,1.19013,1,3,0,7.57336,0.213287 --7.03396,0.902369,1.19013,2,3,0,7.30148,0.351402 --6.87374,1,1.19013,2,3,0,7.00763,0.31587 --6.98422,0.98241,1.19013,2,3,0,7.02942,0.34168 --6.98422,0.206995,1.19013,1,1,0,8.79605,0.34168 --7.08988,0.953797,1.19013,1,1,0,7.18409,0.361448 --6.8439,0.768391,1.19013,2,3,0,7.83078,0.198099 --6.76078,1,1.19013,1,1,0,6.81609,0.230398 --6.93247,0.934297,1.19013,2,3,0,7.07794,0.179647 --6.95312,0.994082,1.19013,1,1,0,7.00728,0.176157 --6.83767,1,1.19013,1,1,0,6.93234,0.199718 --7.25953,0.900734,1.19013,1,3,0,7.37557,0.38801 --8.11303,0.663638,1.19013,1,1,0,8.32599,0.482321 --7.38226,1,1.19013,2,3,0,8.42526,0.129356 --6.88129,1,1.19013,1,1,0,7.24579,0.189446 --8.21786,0.71266,1.19013,1,3,0,8.38674,0.491532 --7.06479,1,1.19013,1,1,0,7.79048,0.357043 --7.24062,0.981254,1.19013,2,3,0,7.24114,0.141394 --7.24062,0.82679,1.19013,1,1,0,7.97838,0.141394 --7.50461,0.902384,1.19013,2,3,0,8.18385,0.419948 --7.24635,1,1.19013,1,1,0,7.59482,0.386109 --9.6347,0.315233,1.19013,1,1,0,9.83198,0.591621 --7.33578,1,1.19013,1,1,0,8.76008,0.398591 --6.79118,1,1.19013,1,1,0,7.10701,0.287865 --6.79118,0.654634,1.19013,1,1,0,7.33624,0.287865 --8.23139,0.526087,1.19013,1,1,0,8.23596,0.492696 --7.42232,1,1.19013,1,1,0,8.13112,0.409853 --8.11465,0.715171,1.19013,1,1,0,8.40739,0.482465 --7.00819,1,1.19013,1,1,0,7.68778,0.346472 --6.78697,0.49828,1.19013,2,3,0,8.96776,0.216242 --6.74842,1,1.19013,1,3,0,6.77428,0.246499 --7.48351,0.807417,1.19013,1,3,0,7.49562,0.417411 --6.82644,1,1.19013,1,3,0,7.37781,0.202804 --7.10033,0.924133,1.19013,2,3,0,7.26335,0.363239 --6.75524,1,1.19013,1,3,0,6.99433,0.235186 --6.872,0.655813,1.19013,2,3,0,8.12025,0.315393 --6.7501,0.871525,1.19013,2,3,0,7.31635,0.241999 --7.13779,0.904405,1.19013,1,3,0,7.16622,0.15175 --7.13779,0.906966,1.19013,1,3,0,8.02858,0.15175 --7.05312,1,1.19013,2,3,0,7.18938,0.161742 --8.26143,0.875193,1.19013,1,3,0,8.26996,0.0824386 --7.86379,1,1.19013,1,1,0,8.35133,0.0996115 --7.38943,1,1.19013,1,1,0,7.83765,0.128801 --7.16299,1,1.19013,1,1,0,7.4078,0.149055 --7.58193,0.908744,1.19013,1,1,0,7.62381,0.115381 --6.77905,0.918555,1.19013,2,3,0,7.77515,0.219755 --8.23541,0.738434,1.19013,2,3,0,8.70044,0.0834257 --7.73115,1,1.19013,1,1,0,8.26222,0.106564 --7.74216,0.997947,1.19013,1,1,0,7.98133,0.105958 --7.18461,1,1.19013,1,1,0,7.64724,0.146829 --7.18461,0.235238,1.19013,1,3,0,13.9073,0.146829 --6.9431,1,1.19013,1,1,0,7.14335,0.177822 --10.6551,0.508078,1.19013,1,3,0,11.4705,0.0315733 --8.70732,1,1.19013,1,1,0,10.4658,0.067746 --7.78885,1,1.19013,1,1,0,8.61182,0.103448 --8.14701,0.980309,1.19013,2,3,0,8.30056,0.0869071 --6.85925,0.969903,1.19013,1,3,0,7.86643,0.194347 --6.85925,0.729349,1.19013,1,3,0,7.82335,0.194347 --6.88647,0.991753,1.19013,1,1,0,6.91811,0.188364 --7.26108,0.960667,1.19013,2,3,0,7.26545,0.139515 --7.57885,0.932429,1.19013,1,1,0,7.65347,0.115576 --6.99749,1,1.19013,2,3,0,7.44029,0.16932 --6.78217,1,1.19013,1,1,0,6.92959,0.218318 --10.3679,0.468882,1.19013,1,3,0,11.4539,0.035131 --10.795,0.991279,1.19013,2,3,0,11.1702,0.0299863 --8.3165,1,1.19013,1,3,0,10.5386,0.0804026 --7.65695,1,1.19013,1,1,0,8.27716,0.110802 --7.18998,1,1.19013,1,1,0,7.5925,0.146289 --7.62933,0.956626,1.19013,2,3,0,7.7232,0.434306 --6.7504,1,1.19013,1,3,0,7.26693,0.25868 --6.76385,0.994878,1.19013,1,1,0,6.76408,0.272664 --6.76385,0.488235,1.19013,1,3,0,9.39191,0.272664 --6.74803,1,1.19013,1,3,0,6.75844,0.250471 --6.77029,0.993736,1.19013,1,3,0,6.77101,0.276979 --8.6863,0.683346,1.19013,2,3,0,8.68663,0.528994 --7.18046,1,1.19013,1,1,0,8.13419,0.376235 --8.4941,0.532136,1.19013,1,1,0,8.66709,0.514282 --6.78031,1,1.19013,1,3,0,7.89128,0.219167 --8.85633,0.56981,1.19013,1,3,0,8.92102,0.541354 --7.04541,1,1.19013,1,1,0,8.10148,0.353529 --6.89299,1,1.19013,2,3,0,7.03066,0.320958 --7.51404,0.871102,1.19013,2,3,0,7.5881,0.119814 --7.15094,0.843233,1.19013,2,3,0,8.71724,0.371588 --7.4977,0.849977,1.19013,1,1,0,7.66324,0.41912 --7.65813,0.969333,1.19013,2,3,0,7.99254,0.43748 --7.07816,1,1.19013,1,1,0,7.51505,0.359409 --6.75093,1,1.19013,1,3,0,6.94777,0.259607 --6.75093,0.515602,1.19013,1,3,0,9.13264,0.259607 --6.81906,0.888386,1.19013,2,3,0,7.18702,0.298965 --6.79859,1,1.19013,1,1,0,6.82893,0.291084 --6.8949,0.982763,1.19013,2,3,0,6.90976,0.18665 --7.07059,0.983808,1.19013,2,3,0,7.09159,0.159545 --7.07059,0.986401,1.19013,1,1,0,7.19427,0.159545 --7.90965,0.831864,1.19013,1,3,0,8.25861,0.463365 --7.83281,0.584172,1.19013,1,3,0,9.44306,0.10117 --6.88585,1,1.19013,1,3,0,7.59839,0.188492 --6.75051,0.999354,1.19013,1,3,0,6.84315,0.241246 --6.95447,0.462482,1.19013,2,3,0,9.71991,0.335409 --6.85086,1,1.19013,2,3,0,6.94577,0.309325 --6.99257,0.940802,1.19013,1,1,0,7.02688,0.343373 --6.83309,1,1.19013,1,1,0,6.95065,0.303756 --6.74807,1,1.19013,1,3,0,6.80264,0.251254 --6.74807,0.592979,1.19013,1,3,0,8.46867,0.251254 --7.09471,0.903965,1.19013,1,3,0,7.10024,0.362278 --8.47383,0.518008,1.19013,1,1,0,8.60608,0.512681 --7.02199,1,1.19013,1,1,0,7.88482,0.34914 --8.89357,0.641056,1.19013,2,3,0,8.99047,0.543985 --6.75716,1,1.19013,1,3,0,8.04788,0.233364 --6.94198,0.956233,1.19013,1,3,0,6.9445,0.178012 --6.94198,0.391958,1.19013,1,3,0,9.74459,0.178012 --6.82383,0.958009,1.19013,2,3,0,7.25427,0.203554 --6.76432,1,1.19013,2,3,0,6.81867,0.273008 --6.76162,0.768833,1.19013,2,3,0,7.47859,0.270986 --6.78235,0.538483,1.19013,2,3,0,8.80908,0.283667 --6.76288,1,1.19013,1,1,0,6.77886,0.271952 --6.75761,1,1.19013,1,1,0,6.76397,0.267568 --7.85022,0.713901,1.19013,1,3,0,8.12368,0.10029 --7.7638,1,1.19013,2,3,0,8.05683,0.104783 --6.84501,0.994711,1.19013,1,3,0,7.53426,0.197817 --7.01582,0.98357,1.19013,2,3,0,7.02649,0.166716 --6.87247,1,1.19013,1,1,0,6.99358,0.191346 --6.87247,0.539118,1.19013,1,3,0,9.75828,0.191346 --6.7971,1,1.19013,2,3,0,6.85621,0.212264 --6.84906,0.993911,1.19013,2,3,0,6.85847,0.308783 --8.83656,0.653419,1.19013,2,3,0,8.85959,0.539946 --8.83656,0.437625,1.19013,2,3,0,11.0909,0.539946 --10.3972,0.53974,1.19013,2,3,0,11.3552,0.63319 --6.77193,1,1.19013,1,1,0,8.75136,0.277975 --6.77193,0.470417,1.19013,1,3,0,9.62037,0.277975 --6.97687,0.918871,1.19013,1,1,0,6.97984,0.340166 --7.16739,0.917775,1.19013,1,1,0,7.25555,0.374196 --6.91243,0.969776,1.19013,2,3,0,7.3057,0.183265 --6.8418,1,1.19013,2,3,0,6.88955,0.306548 --8.71778,0.422187,1.19013,1,1,0,8.73831,0.531327 --7.33829,1,1.19013,1,1,0,8.29704,0.398929 --7.33829,0.320557,1.19013,1,1,0,8.78806,0.398929 --6.92244,0.971567,1.19013,1,3,0,7.44476,0.181427 --10.6393,0.545702,1.19013,2,3,0,11.0642,0.0317578 --7.38272,0.954714,1.19013,1,3,0,10.3892,0.12932 --10.0485,0.771386,1.19013,1,3,0,10.2058,0.0396288 --9.03326,1,1.19013,2,3,0,10.0793,0.0591141 --8.53615,1,1.19013,2,3,0,9.18338,0.0729348 --8.55412,0.997624,1.19013,1,1,0,8.91725,0.072366 --9.56385,0.891982,1.19013,1,1,0,9.6593,0.0477843 --10.5993,0.923649,1.19013,1,1,0,10.7511,0.0322317 --9.5571,1,1.19013,1,1,0,10.6691,0.047911 --7.07725,0.92949,1.19013,1,3,0,9.23232,0.158728 --6.97952,1,1.19013,2,3,0,7.04698,0.340715 --6.80075,1,1.19013,2,3,0,6.91725,0.291977 --6.75717,1,1.19013,2,3,0,6.78493,0.267156 --6.7491,0.998996,1.19013,2,3,0,6.76196,0.244235 --6.75349,0.996995,1.19013,2,3,0,6.76189,0.23708 --6.75349,0.466939,1.19013,1,3,0,8.37639,0.23708 --7.12376,0.911707,1.19013,1,3,0,7.14333,0.153299 --9.82982,0.666917,1.19013,1,3,0,10.085,0.0430898 --11.1124,0.916809,1.19013,1,1,0,11.224,0.0267039 --9.70019,1,1.19013,1,1,0,11.0964,0.0453067 --9.70019,0.916098,1.19013,1,1,0,10.9566,0.0453067 --6.76681,0.755084,1.19013,1,3,0,9.75898,0.274735 --6.83393,0.973402,1.19013,1,1,0,6.83765,0.30403 --7.0441,0.958377,1.19013,2,3,0,7.0749,0.162908 --7.25107,0.948748,1.19013,1,1,0,7.30097,0.140428 --7.64974,0.916622,1.19013,1,1,0,7.70912,0.111229 --6.96474,1,1.19013,2,3,0,7.4338,0.337619 --6.83075,1,1.19013,1,1,0,6.93381,0.302986 --7.92303,0.61139,1.19013,1,1,0,7.94072,0.46466 --7.43505,1,1.19013,2,3,0,7.72426,0.12537 --7.42205,1,1.19013,1,1,0,7.60893,0.12633 --8.06273,0.883491,1.19013,1,1,0,8.11142,0.0904239 --8.55174,0.88768,1.19013,2,3,0,10.0813,0.0724408 --13.5066,0.590005,1.19013,1,3,0,15.6878,0.755153 --9.67322,0.837411,1.19013,2,3,0,15.7971,0.0457845 --8.42091,1,1.19013,2,3,0,9.5763,0.0767294 --6.75087,0.843637,1.19013,2,3,0,8.39718,0.259513 --6.8154,0.979727,1.19013,2,3,0,6.83223,0.206088 --6.87434,0.981689,1.19013,1,1,0,6.88865,0.190936 --7.70352,0.873079,1.19013,1,3,0,7.71251,0.108111 --8.15829,0.923966,1.19013,1,1,0,8.27754,0.0864513 --8.29447,0.918404,1.19013,2,3,0,9.92484,0.0812085 --8.55719,0.964017,1.19013,1,1,0,8.80716,0.0722695 --7.21001,1,1.19013,1,3,0,8.28687,0.144309 --7.66064,0.954621,1.19013,2,3,0,7.74973,0.437754 --6.96325,0.387172,1.19013,2,3,0,10.6763,0.174522 --8.43876,0.795596,1.19013,1,3,0,8.4899,0.0761245 --7.44272,0.93911,1.19013,2,3,0,9.1688,0.412407 --6.90457,0.978995,1.19013,1,3,0,7.48757,0.184756 --6.90457,0.549092,1.19013,1,3,0,8.66835,0.184756 --6.90457,0.933799,1.19013,1,1,0,7.09881,0.184756 --7.35368,0.88608,1.19013,1,1,0,7.35671,0.131617 --6.76888,0.999245,1.19013,2,3,0,7.29132,0.276089 --6.76513,1,1.19013,1,1,0,6.77359,0.273586 --6.77173,0.997416,1.19013,1,1,0,6.77765,0.277852 --6.77173,0.658108,1.19013,1,1,0,7.3206,0.277852 --6.76254,1,1.19013,2,3,0,6.76866,0.229115 --7.40563,0.859937,1.19013,1,3,0,7.44535,0.127562 --7.40563,0.914942,1.19013,1,1,0,7.8373,0.127562 --7.96641,0.895413,1.19013,1,1,0,8.02438,0.0947054 --7.07003,0.95902,1.19013,2,3,0,8.53811,0.159615 --7.0936,0.99795,1.19013,2,3,0,7.18448,0.156766 --8.01777,0.812205,1.19013,1,1,0,8.01799,0.0923859 --7.67844,0.929779,1.19013,2,3,0,8.96205,0.43969 --7.22748,0.896138,1.19013,1,3,0,8.20064,0.14263 --7.52428,0.958376,1.19013,2,3,0,7.53053,0.422283 --6.809,1,1.19013,1,1,0,7.22073,0.295246 --6.75366,0.912661,1.19013,2,3,0,7.10674,0.263428 --6.74894,1,1.19013,1,1,0,6.75197,0.255372 --6.75348,0.99829,1.19013,1,1,0,6.75358,0.263212 --6.74806,0.730044,1.19013,2,3,0,7.95958,0.248847 --7.22874,0.871382,1.19013,2,3,0,7.47255,0.14251 --7.57429,0.92586,1.19013,1,1,0,7.63832,0.115865 --8.30817,0.959268,1.19013,2,3,0,8.36169,0.0807061 --8.16504,1,1.19013,1,1,0,8.55579,0.0861801 --8.50814,0.951428,1.19013,1,1,0,8.71802,0.0738334 --8.10473,1,1.19013,1,1,0,8.63456,0.088646 --8.23763,0.917773,1.19013,2,3,0,9.83958,0.0833408 --6.76267,1,1.19013,2,3,0,7.96027,0.271794 --7.55814,0.775707,1.19013,1,3,0,7.75933,0.116901 --6.81655,0.732004,1.19013,2,3,0,10.1701,0.205734 --7.06361,0.884859,1.19013,2,3,0,7.46816,0.356832 --6.9668,1,1.19013,2,3,0,7.01968,0.17396 --6.82455,1,1.19013,1,1,0,6.93227,0.203346 --6.77933,1,1.19013,1,1,0,6.81528,0.219624 --6.78496,0.961342,1.19013,2,3,0,6.93368,0.217095 --6.91073,0.9426,1.19013,2,3,0,7.07917,0.325379 --6.75272,1,1.19013,1,3,0,6.84799,0.262246 --7.29789,0.848864,1.19013,1,3,0,7.29897,0.393419 --6.95392,0.921898,1.19013,2,3,0,7.72217,0.176025 --6.79964,1,1.19013,2,3,0,6.92348,0.29152 --6.74911,0.975535,1.19013,2,3,0,6.88162,0.255874 --7.90403,0.715623,1.19013,1,3,0,8.1411,0.0976423 --6.76291,0.936944,1.19013,1,3,0,7.67309,0.228856 --6.78449,0.992659,1.19013,1,1,0,6.78741,0.217297 --7.09075,0.937145,1.19013,1,3,0,7.0916,0.157103 --7.09075,0.926377,1.19013,1,1,0,7.37339,0.157103 --6.866,0.968235,1.19013,2,3,0,7.45183,0.192791 --6.77265,1,1.19013,1,1,0,6.83674,0.222967 --7.1173,0.911349,1.19013,1,3,0,7.16242,0.366097 --7.08247,1,1.19013,1,1,0,7.24303,0.360162 --6.85379,0.942144,1.19013,2,3,0,7.35469,0.195646 --7.22881,0.898943,1.19013,1,1,0,7.23014,0.142503 --7.02432,1,1.19013,2,3,0,7.15983,0.349584 --7.02432,0.680352,1.19013,1,1,0,7.5638,0.349584 --6.84696,1,1.19013,1,1,0,6.97935,0.308144 --6.75378,0.85154,1.19013,2,3,0,7.27591,0.236744 --6.75462,0.733597,1.19013,2,3,0,8.06211,0.264536 --7.16355,0.884214,1.19013,1,3,0,7.16385,0.373592 --9.48183,0.32745,1.19013,1,1,0,9.64127,0.582458 --8.80595,1,1.19013,1,1,0,10.121,0.537752 --8.90428,0.953152,1.19013,1,1,0,9.87948,0.544737 --7.51712,0.392653,1.19013,2,3,0,11.9179,0.119606 --7.00875,1,1.19013,1,1,0,7.40185,0.167706 --6.80805,1,1.19013,2,3,0,6.94982,0.208444 --6.98906,0.946017,1.19013,1,1,0,6.99227,0.170558 --7.75152,0.829773,1.19013,1,1,0,7.75162,0.105447 --7.90395,0.904477,1.19013,1,3,0,8.91793,0.46281 --7.64159,1,1.19013,2,3,0,8.17951,0.435663 --6.77276,1,1.19013,1,3,0,7.36858,0.222905 --6.79286,0.993271,1.19013,1,1,0,6.79892,0.213868 --7.83602,0.754715,1.19013,1,3,0,7.91205,0.456098 --6.9309,1,1.19013,1,1,0,7.4778,0.330142 --6.77592,1,1.19013,1,1,0,6.87187,0.280269 --11.7976,0.253809,1.19013,2,3,0,11.8578,0.0208742 --6.83929,1,1.19013,2,3,0,10.2599,0.305755 --6.75179,0.834688,1.19013,2,3,0,7.31617,0.239254 --6.77567,0.989171,1.19013,2,3,0,6.80018,0.280134 --6.77229,0.909705,1.19013,2,3,0,7.10029,0.278189 --6.74806,1,1.19013,1,3,0,6.76447,0.248938 --7.3399,0.841314,1.19013,1,3,0,7.34898,0.399145 --6.81999,1,1.19013,1,1,0,7.12813,0.299296 --8.24907,0.523912,1.19013,1,1,0,8.26245,0.494209 --7.78627,1,1.19013,2,3,0,8.49483,0.451051 --6.79955,1,1.19013,1,1,0,7.35727,0.291483 --6.75177,1,1.19013,2,3,0,6.78107,0.26093 --6.9334,0.940981,1.19013,2,3,0,7.03434,0.179485 --7.27955,0.881851,1.19013,2,3,0,7.95479,0.137863 --7.36256,0.981191,1.19013,1,1,0,7.48979,0.130906 --6.86341,1,1.19013,1,1,0,7.22398,0.193381 --6.74822,0.996622,1.19013,1,3,0,6.83285,0.252467 --6.83034,0.936377,1.19013,2,3,0,6.99619,0.302849 --6.89848,0.971675,1.19013,1,1,0,6.92709,0.322353 --7.65716,0.707829,1.19013,1,1,0,7.7031,0.437374 --7.2994,1,1.19013,2,3,0,7.50556,0.136133 --7.74748,0.914989,1.19013,1,3,0,8.31285,0.447033 --7.24337,1,1.19013,1,1,0,7.71507,0.385676 --6.97302,1,1.19013,1,1,0,7.20546,0.339365 --7.54559,0.890505,1.19013,2,3,0,7.58867,0.117718 --9.80917,0.897148,1.19013,1,3,0,9.86316,0.0434342 --9.80917,0.917851,1.19013,1,1,0,11.0925,0.0434342 --6.74891,0.753514,1.19013,2,3,0,10.2568,0.255285 --8.99865,0.544731,1.19013,1,3,0,9.66536,0.059962 --9.83543,0.92192,1.19013,1,1,0,9.99917,0.0429967 --8.029,1,1.19013,1,1,0,9.59713,0.09189 --6.74906,0.876897,1.19013,2,3,0,8.07239,0.244326 --7.13618,0.877066,1.19013,2,3,0,7.30964,0.151925 --6.8839,1,1.19013,2,3,0,7.07667,0.188898 --7.02751,0.959487,1.19013,1,1,0,7.04961,0.165113 --7.01145,1,1.19013,1,1,0,7.10016,0.167326 --6.74911,0.993236,1.19013,1,3,0,6.93818,0.244208 --6.74919,0.99999,1.19013,2,3,0,6.74958,0.243984 --6.82958,0.749673,1.19013,2,3,0,7.62888,0.302595 --6.76123,1,1.19013,1,1,0,6.80428,0.270677 --6.76123,0.512236,1.19013,1,3,0,9.10401,0.270677 --6.77457,0.834649,1.19013,2,3,0,7.40726,0.279513 --9.20444,0.551276,1.19013,2,3,0,9.41989,0.0551326 --7.16857,1,1.19013,1,3,0,8.87156,0.148473 --6.78721,1,1.19013,1,3,0,7.05417,0.216141 --8.11069,0.739215,1.19013,1,3,0,8.23891,0.0883978 --7.17244,1,1.19013,1,1,0,7.91175,0.148073 --6.86496,1,1.19013,2,3,0,7.08973,0.313428 --6.7501,1,1.19013,1,3,0,6.82042,0.258123 --6.75108,0.989218,1.19013,2,3,0,6.78082,0.25986 --6.75108,0.305632,1.19013,1,3,0,9.14758,0.25986 --6.78407,0.771583,1.19013,2,3,0,7.4872,0.284519 --7.07871,0.883232,1.19013,1,1,0,7.08432,0.359505 --7.11448,0.983883,1.19013,1,1,0,7.25429,0.365626 --6.7603,1,1.19013,1,3,0,7.01473,0.230761 --6.78671,0.99641,1.19013,2,3,0,6.78856,0.216348 --7.0555,0.508738,1.19013,2,3,0,9.33499,0.35537 --6.80372,0.935196,1.19013,2,3,0,7.29531,0.209904 --7.92901,0.77575,1.19013,2,3,0,8.44068,0.0964499 --7.85753,1,1.19013,1,1,0,8.15962,0.0999237 --6.74842,0.917011,1.19013,1,3,0,7.67919,0.253518 --8.53864,0.607241,1.19013,1,3,0,8.98813,0.0728556 --7.5249,1,1.19013,1,1,0,8.37776,0.119085 --6.98161,0.953271,1.19013,2,3,0,8.07169,0.171675 --6.76244,1,1.19013,1,3,0,6.91202,0.229182 --7.26147,0.863869,1.19013,2,3,0,7.59984,0.13948 --6.74994,0.951966,1.19013,2,3,0,7.29513,0.24232 --6.7957,0.955755,1.19013,2,3,0,6.90652,0.289854 --6.74893,0.73628,1.19013,2,3,0,7.61124,0.255367 --7.12652,0.882322,1.19013,2,3,0,7.25505,0.152991 --7.61755,0.981746,1.19013,2,3,0,7.96806,0.432992 --7.13418,1,1.19013,1,1,0,7.5461,0.36888 --7.1427,0.604963,1.19013,2,3,0,8.5863,0.151215 --7.65527,0.981312,1.19013,2,3,0,8.0506,0.437167 --7.6992,0.978956,1.19013,1,1,0,8.1116,0.441925 --7.2449,1,1.19013,1,1,0,7.69203,0.385899 --7.63515,0.916869,1.19013,2,3,0,7.84476,0.43495 --7.31883,1,1.19013,1,1,0,7.73034,0.396297 --6.75682,1,1.19013,1,3,0,7.08528,0.266821 --6.75682,0.583427,1.19013,1,3,0,8.46623,0.266821 --8.31511,0.627512,1.19013,1,3,0,8.75477,0.0804532 --8.61316,0.908672,1.19013,2,3,0,10.2956,0.0705379 --8.12699,1,1.19013,1,1,0,8.71075,0.0877242 --9.76956,0.810794,1.19013,1,1,0,9.77384,0.0441042 --6.75614,1,1.19013,2,3,0,9.02845,0.26615 --6.74815,0.991152,1.19013,2,3,0,6.78145,0.252041 --6.74815,0.93428,1.19013,1,3,0,6.93006,0.252041 --6.74834,0.9993,1.19013,2,3,0,6.75026,0.253157 --7.28626,0.862908,1.19013,2,3,0,7.52588,0.137274 --7.65773,0.92313,1.19013,1,1,0,7.72752,0.110756 --8.00167,0.979909,1.19013,2,3,0,8.13851,0.0931037 --6.8893,0.892313,1.19013,2,3,0,8.59621,0.187782 --7.29806,0.894017,1.19013,1,1,0,7.30126,0.136249 --7.20595,1,1.19013,1,1,0,7.38469,0.144705 --6.75064,0.972722,1.19013,1,3,0,7.11439,0.259116 --6.80306,0.949185,1.19013,2,3,0,6.94182,0.292916 --7.60787,0.82245,1.19013,2,3,0,7.76263,0.113762 --7.47384,1,1.19013,1,1,0,7.7355,0.122584 --8.1932,0.958114,1.19013,2,3,0,8.23753,0.0850627 --9.15424,0.88102,1.19013,1,1,0,9.23103,0.0562649 --6.82246,0.996752,1.19013,2,3,0,8.97628,0.203956 --7.08594,0.929508,1.19013,2,3,0,7.22628,0.360766 --6.7841,1,1.19013,1,1,0,6.96421,0.284534 --6.74827,0.995233,1.19013,2,3,0,6.79974,0.24721 --6.8027,0.984728,1.19013,1,3,0,6.80578,0.292772 --6.74857,1,1.19013,1,3,0,6.78253,0.254167 --6.77237,0.991992,1.19013,2,3,0,6.78062,0.223116 --7.11424,0.912008,1.19013,1,3,0,7.15897,0.365586 --6.76452,1,1.19013,1,1,0,6.96971,0.273153 --12.0269,0.237351,1.19013,1,3,0,12.0297,0.704664 --8.35491,1,1.19013,2,3,0,10.9729,0.503076 --7.02337,0.996139,1.19013,1,3,0,8.3082,0.165675 --7.99032,0.895424,1.19013,1,3,0,7.99148,0.0936148 --7.49109,1,1.19013,1,1,0,7.97519,0.121381 --7.76007,0.982715,1.19013,2,3,0,7.88611,0.104984 --7.13037,1,1.19013,1,1,0,7.63285,0.152564 --7.92236,0.838423,1.19013,1,1,0,7.92764,0.0967653 --6.74958,0.919759,1.19013,1,3,0,7.71556,0.24306 --6.82958,0.96843,1.19013,2,3,0,6.88421,0.201918 --6.74854,0.997483,1.19013,1,3,0,6.80893,0.254037 --6.9096,0.941402,1.19013,2,3,0,7.02185,0.183796 --7.8711,0.799851,1.19013,2,3,0,8.53372,0.0992496 --8.68064,0.960965,1.19013,2,3,0,8.75365,0.0685221 --6.94067,1,1.19013,2,3,0,8.1256,0.332362 --7.03786,0.570057,1.19013,2,3,0,8.64576,0.163728 --6.83603,1,1.19013,2,3,0,6.98469,0.200154 --7.10042,0.64641,1.19013,2,3,0,8.49591,0.363253 --10.2708,0.496704,1.19013,2,3,0,10.3937,0.626731 --8.3887,0.941614,1.19013,2,3,0,11.591,0.0778376 --8.8295,0.944153,1.19013,1,1,0,9.03962,0.0643333 --8.42542,1,1.19013,1,1,0,9.00184,0.0765757 --9.71719,0.860969,1.19013,1,1,0,9.76141,0.0450084 --6.88205,0.962354,1.19013,2,3,0,10.0108,0.318108 --8.53104,0.465858,1.19013,1,1,0,8.56763,0.517176 --6.84132,1,1.19013,1,1,0,7.77735,0.306398 --7.45727,0.760533,1.19013,1,1,0,7.48065,0.414207 --7.02342,0.742741,1.19013,2,3,0,8.40035,0.165668 --8.11493,0.792857,1.19013,2,3,0,8.90112,0.0882219 --8.11493,0.791961,1.19013,1,1,0,9.72121,0.0882219 --7.18199,1,1.19013,1,1,0,7.91868,0.147095 --6.75205,0.973442,1.19013,1,3,0,7.09874,0.261328 --6.98892,0.926918,1.19013,2,3,0,7.11175,0.170579 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+-6.7531032,0.99350506,0.76613686,1,3,0,7.0045971,0.23754196 +-8.9269927,0.78247636,0.76613686,2,7,0,8.9395186,0.061766438 +-6.9272419,0.92937043,0.76613686,1,3,0,9.6501915,0.18056735 +-6.987234,0.99133208,0.76613686,1,1,0,6.9996605,0.17082938 +-7.6472862,0.94052236,0.76613686,2,3,0,7.7939293,0.11137444 +-7.4299828,1,0.76613686,1,1,0,7.6536138,0.12574232 +-8.097968,0.94536967,0.76613686,2,3,0,8.4338547,0.088928705 +-8.3127483,0.98342931,0.76613686,1,1,0,8.3924594,0.080539066 +-8.1432389,1,0.76613686,1,1,0,8.3963459,0.087060015 +-8.0959112,1,0.76613686,1,1,0,8.2757215,0.089014982 +-7.6897305,1,0.76613686,1,1,0,8.0735491,0.10889615 +-6.9343827,0.89858028,0.76613686,1,3,0,9.2286525,0.33093871 +-6.7481205,1,0.76613686,2,3,0,6.910625,0.24824558 +-6.7481205,0.87286779,0.76613686,1,3,0,7.5880514,0.24824558 +-6.748065,1,0.76613686,2,3,0,6.7481103,0.24883802 +-6.9990876,0.94935836,0.76613686,1,3,0,7.1110036,0.34467734 +-6.9546371,1,0.76613686,2,7,0,6.9876598,0.17590853 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+-6.8459176,0.94780704,0.76613686,1,3,0,8.7842115,0.19758645 +-6.7874348,0.97997148,0.76613686,1,3,0,7.0459382,0.28613853 +-6.842813,0.98617215,0.76613686,2,3,0,6.9199448,0.3068639 +-6.8497203,0.95411274,0.76613686,1,3,0,7.204179,0.19663821 +-6.7587216,0.99840557,0.76613686,3,7,0,6.8514032,0.23201816 +-6.9564843,0.98226191,0.76613686,2,3,0,6.957065,0.33584721 +-6.799772,0.8079925,0.76613686,2,3,0,8.4944237,0.21129296 +-6.9633956,0.77792775,0.76613686,2,3,0,9.37642,0.33733244 +-6.8016366,0.95802402,0.76613686,1,3,0,7.2845724,0.21063043 +-6.8687945,0.96675983,0.76613686,2,7,0,7.1248833,0.31450554 +-6.9609665,0.90264632,0.76613686,1,3,0,7.5418701,0.17488598 +-7.3171333,0.96125659,0.76613686,2,3,0,7.4791785,0.13462367 +-7.1161578,1,0.76613686,1,1,0,7.2998933,0.15415552 +-6.9498572,1,0.76613686,2,3,0,7.094081,0.1766934 +-7.0693447,0.98330292,0.76613686,1,1,0,7.0745581,0.15969959 +-7.2750001,0.97394893,0.76613686,1,1,0,7.2793815,0.13826648 +-7.6084316,0.96328183,0.76613686,1,1,0,7.6120231,0.11372724 +-7.4830776,1,0.76613686,1,1,0,7.6514977,0.12193749 +-7.1914249,1,0.76613686,2,3,0,7.4519462,0.14614381 +-7.5414911,0.96470422,0.76613686,3,7,0,7.7598332,0.42430353 +-6.7759041,0.94947107,0.76613686,1,3,0,7.9799963,0.22128438 +-8.6188197,0.65496656,0.76613686,1,3,0,10.013181,0.070365832 # -# Elapsed Time: 0.010783 seconds (Warm-up) -# 0.026063 seconds (Sampling) -# 0.036846 seconds (Total) +# Elapsed Time: 0.001 seconds (Warm-up) +# 0 seconds (Sampling) +# 0.001 seconds (Total) # diff --git a/test/data/runset-bad/bad-hdr-bern-1_config.json b/test/data/runset-bad/bad-hdr-bern-1_config.json new file mode 100644 index 00000000..f832a226 --- /dev/null +++ b/test/data/runset-bad/bad-hdr-bern-1_config.json @@ -0,0 +1,66 @@ + +{ + "stan_major_version" : "2", + "stan_minor_version" : "37", + "stan_patch_version" : "0", + "model_name" : "bernoulli_model", + "start_datetime" : "2026-07-20 16:58:36 UTC", + "method" : { + "value" : "sample", + "sample" : { + "num_samples" : 100, + "num_warmup" : 1000, + "save_warmup" : false, + "thin" : 1, + "adapt" : { + "engaged" : true, + "gamma" : 0.05, + "delta" : 0.8, + "kappa" : 0.75, + "t0" : 10, + "init_buffer" : 75, + "term_buffer" : 50, + "window" : 25, + "save_metric" : true + }, + "algorithm" : { + "value" : "hmc", + "hmc" : { + "engine" : { + "value" : "nuts", + "nuts" : { + "max_depth" : 10 + } + }, + "metric" : { + "value" : "diag_e" + }, + "metric_file" : "", + "stepsize" : 1, + "stepsize_jitter" : 0 + } + }, + "num_chains" : 1 + } + }, + "id" : 1, + "data" : { + "file" : "test\/data\/bernoulli.data.json" + }, + "init" : "2", + "random" : { + "seed" : 12345 + }, + "output" : { + "file" : "\/tmp\/tmpuisjazeu\/bernoullik799pfr2\/bernoulli-20260720125836_1.csv", + "diagnostic_file" : "", + "refresh" : 100, + "sig_figs" : 8, + "profile_file" : "profile.csv", + "save_cmdstan_config" : true + }, + "num_threads" : 1, + "mpi_enabled" : false, + "stanc_version" : "stanc3 v2.37.0", + "stancflags" : "--filename-in-msg=bernoulli.stan" +} diff --git a/test/data/runset-bad/bad-hdr-bern-2.csv b/test/data/runset-bad/bad-hdr-bern-2.csv index 171ea53d..9ff6e971 100644 --- a/test/data/runset-bad/bad-hdr-bern-2.csv +++ b/test/data/runset-bad/bad-hdr-bern-2.csv @@ -1,22 +1,24 @@ # stan_version_major = 2 -# stan_version_minor = 19 -# stan_version_patch = 1 +# stan_version_minor = 37 +# stan_version_patch = 0 # model = bernoulli_model +# start_datetime = 2026-07-20 16:58:36 UTC # method = sample (Default) # sample -# num_samples = 1000 (Default) +# num_samples = 100 # num_warmup = 1000 (Default) -# save_warmup = 0 (Default) +# save_warmup = false (Default) # thin = 1 (Default) # adapt -# engaged = 1 (Default) -# gamma = 0.050000000000000003 (Default) -# delta = 0.80000000000000004 (Default) +# engaged = true (Default) +# gamma = 0.05 (Default) +# delta = 0.8 (Default) # kappa = 0.75 (Default) # t0 = 10 (Default) # init_buffer = 75 (Default) # term_buffer = 50 (Default) # window = 25 (Default) +# save_metric = true # algorithm = hmc (Default) # hmc # engine = nuts (Default) @@ -26,1023 +28,130 @@ # metric_file = (Default) # stepsize = 1 (Default) # stepsize_jitter = 0 (Default) +# num_chains = 1 (Default) # id = 2 # data -# file = /Users/mitzi/github/stan-dev/cmdstanpy/test/files-data/bernoulli.data.R +# file = test/data/bernoulli.data.json # init = 2 (Default) # random -# seed = 73255 +# seed = 12345 # output -# file = /Users/mitzi/github/stan-dev/cmdstanpy/test/files-tmp/bernoulli.output-2.csv +# file = /tmp/tmpuisjazeu/bernoullik799pfr2/bernoulli-20260720125836_2.csv # diagnostic_file = (Default) # refresh = 100 (Default) +# sig_figs = 8 (Default) +# profile_file = profile.csv (Default) +# save_cmdstan_config = true +# num_threads = 1 (Default) +# stanc_version = stanc3 v2.37.0 +# stancflags = --filename-in-msg=bernoulli.stan lp__,accept_stat__,stepsize__,treedepth__,n_leapfrog__,divergent__,energy__,theta # Adaptation terminated -# Step size = 0.966602 +# Step size = 1.07501 # Diagonal elements of inverse mass matrix: -# 0.471155 --7.16838,0.776862,0.966602,2,3,0,8.283,0.148493 --7.23,0.989929,0.966602,1,1,0,7.29279,0.142391 --6.86843,0.960512,0.966602,1,3,0,7.68108,0.314405 --6.97212,0.970411,0.966602,1,1,0,6.98927,0.339176 --6.88754,0.936641,0.966602,1,3,0,7.34089,0.188142 --6.86762,1,0.966602,1,1,0,6.90436,0.192426 --6.76178,0.990448,0.966602,1,3,0,6.93414,0.271104 --6.82136,0.946111,0.966602,2,3,0,7.06709,0.204281 --6.85634,0.992632,0.966602,1,1,0,6.86499,0.195035 --8.67934,0.80905,0.966602,2,3,0,9.15418,0.528476 --8.67934,0.325399,0.966602,1,1,0,11.3643,0.528476 --7.72867,1,0.966602,2,3,0,8.54908,0.445057 --7.72867,0.781698,0.966602,1,3,0,8.88597,0.445057 --7.16147,1,0.966602,1,1,0,7.60253,0.373264 --6.89922,1,0.966602,2,3,0,7.09529,0.322538 --6.74802,0.999593,0.966602,1,3,0,6.892,0.250168 --6.76452,0.995845,0.966602,1,3,0,6.76925,0.227766 --6.82758,0.986109,0.966602,2,3,0,6.87864,0.20248 --6.75536,0.999534,0.966602,1,3,0,6.81565,0.235067 --8.17751,0.797612,0.966602,2,3,0,8.2364,0.085683 --6.98835,0.971202,0.966602,1,3,0,8.11542,0.170663 --6.92643,1,0.966602,1,1,0,6.99879,0.180712 --7.11427,0.965556,0.966602,1,1,0,7.11884,0.15437 --6.75428,1,0.966602,1,3,0,7.11498,0.23619 --6.76049,0.996595,0.966602,1,3,0,6.77864,0.270073 --6.7534,1,0.966602,1,1,0,6.759,0.263107 --6.87457,0.963489,0.966602,1,3,0,6.95031,0.190888 --6.95617,0.983927,0.966602,1,1,0,6.96632,0.17566 --7.42085,0.961195,0.966602,2,7,0,7.42089,0.409667 --7.3962,1,0.966602,1,1,0,7.60273,0.406528 --7.16354,1,0.966602,1,1,0,7.40907,0.37359 --6.74802,0.984735,0.966602,2,3,0,7.26618,0.249742 --6.8285,0.979901,0.966602,1,3,0,6.85281,0.202219 --6.90618,0.963286,0.966602,1,3,0,7.12818,0.324268 --6.76761,1,0.966602,1,3,0,6.87022,0.275265 --6.79453,0.974479,0.966602,2,3,0,6.91856,0.21323 --6.79453,0.751166,0.966602,1,3,0,8.23647,0.21323 --6.819,0.994661,0.966602,1,1,0,6.82441,0.204987 --6.79307,0.986394,0.966602,1,3,0,6.93342,0.28871 --6.7678,1,0.966602,1,1,0,6.78784,0.275391 --6.773,0.992255,0.966602,2,3,0,6.82541,0.222778 --6.81438,0.897833,0.966602,2,3,0,7.47624,0.206406 --6.7806,0.988186,0.966602,2,3,0,6.92443,0.282774 --7.09864,0.892092,0.966602,1,3,0,7.39224,0.156173 --8.53789,0.83314,0.966602,1,3,0,8.7093,0.0728794 --8.63095,0.991878,0.966602,1,1,0,8.84292,0.069999 --6.92505,0.97739,0.966602,1,3,0,8.72597,0.180958 --6.87592,0.966692,0.966602,1,3,0,7.23755,0.316464 --7.21337,0.96455,0.966602,2,3,0,7.21758,0.381248 --6.88578,0.926439,0.966602,1,3,0,7.63665,0.188507 --6.81612,1,0.966602,1,1,0,6.87428,0.205864 --6.79973,0.899247,0.966602,2,3,0,7.58608,0.211309 --8.90122,0.621446,0.966602,2,3,0,9.81459,0.062432 --9.19153,0.978897,0.966602,1,1,0,9.36196,0.055421 --8.94641,0.97569,0.966602,2,3,0,10.3785,0.0612708 --7.41135,0.939083,0.966602,1,3,0,8.85445,0.12713 --6.88031,0.987735,0.966602,1,3,0,7.33643,0.189654 --6.75719,0.916624,0.966602,2,3,0,7.53202,0.233336 --6.85208,0.972649,0.966602,1,3,0,6.91234,0.309689 --7.06999,0.892351,0.966602,1,3,0,7.50768,0.15962 --6.89058,0.950019,0.966602,1,3,0,7.48441,0.32034 --7.22539,0.90518,0.966602,1,1,0,7.23192,0.383037 --7.97745,0.926642,0.966602,2,3,0,8.03482,0.469857 --7.67296,1,0.966602,1,1,0,8.1146,0.439096 --7.01257,1,0.966602,1,1,0,7.48224,0.347325 --7.54432,0.945881,0.966602,2,3,0,7.56478,0.424633 --6.75104,0.974642,0.966602,2,3,0,7.73227,0.240367 --7.52784,0.831347,0.966602,1,3,0,7.6943,0.422703 --8.67838,0.685995,0.966602,1,1,0,8.78747,0.528404 --8.67838,0.655838,0.966602,1,1,0,9.99001,0.528404 --9.89943,0.673264,0.966602,1,1,0,10.3392,0.60679 --7.01442,1,0.966602,2,7,0,8.99673,0.347684 --6.79009,1,0.966602,1,3,0,6.95209,0.287369 --6.81467,0.993312,0.966602,1,1,0,6.82137,0.297376 --7.2133,0.940193,0.966602,2,7,0,7.21331,0.14399 --6.95265,1,0.966602,2,3,0,7.16787,0.176234 --6.95265,0.699349,0.966602,1,3,0,9.34015,0.176234 --6.873,1,0.966602,1,1,0,6.94701,0.191231 --6.78722,0.977302,0.966602,2,3,0,7.07733,0.286037 --7.17086,0.921726,0.966602,1,3,0,7.17696,0.37474 --6.85033,0.957023,0.966602,2,3,0,7.49797,0.196488 --6.7646,0.996092,0.966602,2,3,0,6.88571,0.22771 --6.75046,0.980594,0.966602,2,3,0,6.8923,0.258801 --7.14953,0.939312,0.966602,2,3,0,7.17339,0.150479 --6.75271,1,0.966602,1,3,0,7.16016,0.238025 --9.93243,0.578756,0.966602,2,3,0,9.9348,0.0414242 --7.10184,0.954381,0.966602,1,3,0,10.3866,0.1558 --7.22676,0.960903,0.966602,2,3,0,7.64747,0.142698 --7.53089,0.984951,0.966602,2,3,0,7.55158,0.118686 --6.74879,1,0.966602,2,3,0,7.40762,0.245137 --8.05351,0.72373,0.966602,2,3,0,8.86184,0.47693 --7.02511,1,0.966602,1,1,0,7.73629,0.349734 --6.76251,1,0.966602,1,3,0,6.96593,0.271666 --7.05936,0.910127,0.966602,2,3,0,7.34447,0.356068 --6.75109,0.979783,0.966602,2,3,0,7.18605,0.259883 --6.74808,0.999916,0.966602,1,3,0,6.75162,0.248619 --6.76959,0.996451,0.966602,2,3,0,6.77484,0.224659 --6.75154,0.99812,0.966602,1,3,0,6.78354,0.260589 --6.76281,0.980011,0.966602,2,3,0,6.86788,0.228921 --6.76281,0.840618,0.966602,1,3,0,7.57028,0.228921 --7.30975,0.872584,0.966602,1,3,0,7.49621,0.395054 --8.05604,0.46848,0.966602,1,3,0,10.471,0.0907117 --7.76719,1,0.966602,1,1,0,8.10072,0.104601 --6.7523,0.98098,0.966602,1,3,0,7.92647,0.238558 --7.60866,0.816353,0.966602,1,3,0,7.79606,0.431996 --9.40309,0.80472,0.966602,2,3,0,9.49126,0.577615 --9.75301,0.894095,0.966602,1,1,0,10.5435,0.598505 --7.32014,1,0.966602,1,1,0,8.97292,0.396475 --7.37771,0.981914,0.966602,1,1,0,7.5376,0.404138 --6.7932,0.888076,0.966602,2,3,0,8.04398,0.288767 --7.32758,0.823807,0.966602,1,3,0,7.82201,0.13375 --7.86402,0.92768,0.966602,1,1,0,7.86864,0.0996 --6.75671,1,0.966602,2,3,0,7.63109,0.266711 --8.20199,0.719741,0.966602,1,3,0,8.33151,0.49016 --9.02927,0.761574,0.966602,1,1,0,9.3699,0.553361 --7.13965,1,0.966602,1,1,0,8.42505,0.36977 --6.85375,1,0.966602,1,1,0,7.05892,0.310187 --11.8086,0.415408,0.966602,2,7,0,12.0386,0.696192 --7.66044,1,0.966602,1,1,0,10.4796,0.437732 --7.002,1,0.966602,2,3,0,7.50323,0.168668 --6.7592,0.998379,0.966602,2,3,0,7.01126,0.23163 --6.76184,0.99938,0.966602,1,1,0,6.76389,0.229612 --6.86303,0.981478,0.966602,1,3,0,6.86825,0.193469 --6.76944,0.967651,0.966602,2,3,0,7.12269,0.276447 --6.76944,0.84304,0.966602,1,3,0,7.35835,0.276447 --6.78165,0.989154,0.966602,2,3,0,6.84236,0.218554 --6.74924,0.965759,0.966602,2,3,0,7.01312,0.256214 --6.7834,0.990041,0.966602,1,3,0,6.80195,0.217774 --7.91809,0.77999,0.966602,1,3,0,8.25979,0.0969685 --7.49076,1,0.966602,1,1,0,7.88859,0.121404 --8.05252,0.930386,0.966602,1,1,0,8.06308,0.0908638 --8.17904,0.986635,0.966602,1,1,0,8.33369,0.0856221 --6.82106,0.993825,0.966602,1,3,0,8.2704,0.204368 --6.76303,0.952764,0.966602,2,3,0,7.21797,0.272059 --6.98035,0.954264,0.966602,1,3,0,6.98852,0.340887 --6.79686,1,0.966602,2,3,0,6.92887,0.290352 --7.42299,0.796379,0.966602,1,3,0,8.00192,0.12626 --6.7501,0.990537,0.966602,1,3,0,7.50236,0.242 --6.97508,0.965398,0.966602,2,3,0,7.01647,0.172671 --6.83294,0.682351,0.966602,2,3,0,10.6384,0.20099 --6.91966,0.960398,0.966602,1,3,0,7.15578,0.327519 --6.85632,1,0.966602,1,1,0,6.92026,0.310945 --7.01276,0.865294,0.966602,2,3,0,7.62267,0.347363 --7.01276,0.759653,0.966602,1,1,0,7.62499,0.347363 --6.9311,0.85064,0.966602,2,3,0,7.83803,0.330187 --6.91004,1,0.966602,2,3,0,6.96563,0.325211 --6.89061,1,0.966602,1,1,0,6.93978,0.320348 --6.76907,0.986586,0.966602,1,3,0,6.96819,0.224956 --7.16888,0.901168,0.966602,1,3,0,7.34619,0.374429 --7.57361,0.879941,0.966602,1,1,0,7.64283,0.428019 --6.7718,1,0.966602,1,3,0,7.39153,0.277896 --6.81791,0.977781,0.966602,1,3,0,6.90725,0.205315 --6.75095,0.99669,0.966602,1,3,0,6.84008,0.259653 --6.87083,0.971957,0.966602,2,3,0,6.94638,0.31507 --6.81933,1,0.966602,1,1,0,6.86699,0.299061 --6.76788,1,0.966602,2,3,0,6.80575,0.275442 --6.76293,1,0.966602,2,3,0,6.7694,0.271988 --6.93663,0.963886,0.966602,1,3,0,6.94185,0.331449 --6.93663,0.820543,0.966602,1,1,0,7.38976,0.331449 --7.74164,0.781098,0.966602,1,1,0,7.74282,0.446421 --7.39097,0.669674,0.966602,1,3,0,9.54492,0.128682 --6.88678,0.987924,0.966602,1,3,0,7.31573,0.188299 --7.31746,0.966906,0.966602,2,3,0,7.32001,0.39611 --6.74803,1,0.966602,1,3,0,7.27083,0.249432 --6.74803,0.760594,0.966602,1,3,0,7.96215,0.249432 --6.83801,0.985963,0.966602,2,3,0,6.85301,0.199627 --7.37248,0.750355,0.966602,2,3,0,8.77271,0.130121 --7.37248,0.925229,0.966602,1,1,0,7.86964,0.130121 --7.50736,0.980639,0.966602,1,1,0,7.57985,0.120267 --6.89031,0.918364,0.966602,1,3,0,8.1468,0.320271 --6.89031,0.592388,0.966602,2,7,0,8.91909,0.320271 --6.82248,1,0.966602,1,1,0,6.88074,0.300171 --6.97533,0.919379,0.966602,1,3,0,7.27805,0.172632 --6.91999,1,0.966602,1,1,0,6.98723,0.181871 --7.488,0.921115,0.966602,1,3,0,7.50856,0.121595 --8.13039,0.973764,0.966602,2,3,0,8.13488,0.0875847 --6.84999,0.98767,0.966602,1,3,0,8.16685,0.196573 --7.649,0.897931,0.966602,2,3,0,7.83874,0.111273 --7.0314,0.91281,0.966602,1,3,0,8.65681,0.350924 --7.87411,0.902985,0.966602,2,3,0,7.88551,0.459886 --7.87411,0.636263,0.966602,1,1,0,8.98359,0.459886 --7.69058,1,0.966602,1,1,0,8.0737,0.440999 --7.78119,0.99029,0.966602,2,3,0,8.0551,0.450529 --7.16162,1,0.966602,2,3,0,7.6345,0.373286 --6.74973,0.997775,0.966602,1,3,0,7.15914,0.242747 --6.85713,0.975762,0.966602,1,3,0,6.87797,0.194847 --8.92135,0.642167,0.966602,1,3,0,9.68774,0.545931 --8.75524,1,0.966602,2,7,0,8.76703,0.0663803 --9.0259,0.97911,0.966602,1,1,0,9.19272,0.059293 --6.77832,1,0.966602,2,3,0,8.64677,0.220101 --6.81568,0.98262,0.966602,1,3,0,6.9053,0.297743 --6.83217,0.958939,0.966602,2,3,0,7.06431,0.303454 --6.81469,1,0.966602,1,1,0,6.84164,0.297381 --7.05876,0.894226,0.966602,2,3,0,7.40966,0.161024 --7.99587,0.891062,0.966602,2,3,0,8.33162,0.0933644 --8.03957,0.995171,0.966602,1,1,0,8.21744,0.0914267 --7.99161,1,0.966602,1,1,0,8.21009,0.0935565 --6.8858,0.911785,0.966602,2,3,0,9.32492,0.188501 --6.88008,1,0.966602,1,1,0,6.91179,0.189702 --7.02155,0.97277,0.966602,1,1,0,7.02553,0.165924 --6.86279,1,0.966602,1,1,0,6.99155,0.193523 --6.83079,1,0.966602,1,1,0,6.86707,0.201581 --6.7665,0.841482,0.966602,2,3,0,8.27634,0.226497 --6.75778,0.941979,0.966602,2,3,0,7.15576,0.232814 --6.83746,0.985037,0.966602,1,3,0,6.84191,0.199772 --6.75146,0.953498,0.966602,2,3,0,7.17961,0.260462 --7.19102,0.881424,0.966602,1,3,0,7.41805,0.146184 --7.43736,0.98741,0.966602,2,3,0,7.46305,0.125201 --7.8797,0.942587,0.966602,1,1,0,7.8998,0.0988256 --7.40153,1,0.966602,2,3,0,7.82836,0.127873 --7.07286,1,0.966602,1,1,0,7.35212,0.159265 --6.84307,0.989273,0.966602,2,3,0,7.20315,0.198311 --6.84004,1,0.966602,1,1,0,6.8621,0.199094 --6.74997,0.913757,0.966602,2,3,0,7.59527,0.25785 --6.97174,0.94983,0.966602,1,3,0,6.99886,0.339097 --6.80397,1,0.966602,1,1,0,6.92505,0.29328 --7.09173,0.861541,0.966602,2,3,0,7.57079,0.156987 --6.93119,1,0.966602,1,1,0,7.0694,0.17987 --7.2357,0.945761,0.966602,1,1,0,7.23571,0.141854 --7.26388,0.998505,0.966602,2,3,0,7.34731,0.139262 --6.95869,1,0.966602,1,1,0,7.2096,0.175251 --7.66157,0.836365,0.966602,1,3,0,8.39362,0.437856 --7.85694,0.979401,0.966602,2,3,0,8.10534,0.458187 --6.80061,0.969336,0.966602,1,3,0,8.04875,0.210993 --7.11391,0.948591,0.966602,1,3,0,7.1328,0.154411 --6.78443,0.995664,0.966602,2,3,0,7.15367,0.217323 --6.78443,0.645492,0.966602,2,3,0,9.07151,0.217323 --6.78933,0.990126,0.966602,2,3,0,6.8744,0.287023 --7.10908,0.93563,0.966602,1,3,0,7.11214,0.364719 --7.05016,0.854303,0.966602,1,3,0,7.88139,0.162123 --6.99436,0.853159,0.966602,2,3,0,8.54572,0.169777 --11.5666,0.548777,0.966602,2,3,0,11.5726,0.022669 --6.80892,0.909698,0.966602,2,7,0,10.6567,0.295218 --12.4395,0.379184,0.966602,2,7,0,12.6714,0.0166361 --8.61268,0.879982,0.966602,1,3,0,13.0437,0.0705526 --6.74811,0.919573,0.966602,1,3,0,9.21929,0.248298 --7.06462,0.952014,0.966602,2,3,0,7.10082,0.160288 --7.15761,0.984013,0.966602,1,1,0,7.19591,0.149621 --7.43041,0.793911,0.966602,2,3,0,9.35976,0.125711 --6.77168,0.998725,0.966602,1,3,0,7.43465,0.223487 --6.85284,0.987174,0.966602,1,3,0,6.85348,0.195876 --6.7763,0.994409,0.966602,2,3,0,6.90797,0.221089 --7.18158,0.898749,0.966602,1,3,0,7.38254,0.376408 --8.28982,0.70074,0.966602,1,1,0,8.31842,0.49766 --7.13456,1,0.966602,2,3,0,8.03363,0.152103 --7.35292,0.965213,0.966602,1,1,0,7.37664,0.131678 --7.2958,1,0.966602,2,3,0,7.42787,0.136443 --6.83715,0.991284,0.966602,1,3,0,7.23306,0.199855 --6.94202,0.992935,0.966602,2,3,0,6.94457,0.178005 --6.79343,0.937041,0.966602,2,3,0,7.57797,0.288869 --7.00294,0.969377,0.966602,2,7,0,7.00296,0.168534 --7.31665,0.946991,0.966602,1,1,0,7.3185,0.134664 --7.32927,0.998066,0.966602,1,1,0,7.43037,0.13361 --7.09577,1,0.966602,1,1,0,7.30766,0.15651 --7.95745,0.938303,0.966602,2,3,0,7.95831,0.46796 --7.14493,1,0.966602,1,1,0,7.73342,0.370622 --6.90003,1,0.966602,1,1,0,7.08522,0.322742 --6.90597,0.998285,0.966602,1,1,0,6.94667,0.324216 --6.76601,1,0.966602,1,3,0,6.87021,0.27419 --6.78224,0.983777,0.966602,2,3,0,6.86614,0.218288 --6.78191,1,0.966602,1,1,0,6.78997,0.218438 --6.92257,0.955975,0.966602,1,3,0,7.06324,0.328205 --7.59962,0.813606,0.966602,1,1,0,7.6014,0.430978 --6.98578,1,0.966602,1,1,0,7.42173,0.341999 --6.76373,1,0.966602,2,3,0,6.95717,0.228291 --6.76373,0.901692,0.966602,1,3,0,7.23718,0.228291 --7.77962,0.787896,0.966602,1,3,0,8.12378,0.103936 --6.87174,0.941173,0.966602,1,3,0,8.52467,0.315322 --7.47676,0.73847,0.966602,1,3,0,8.31225,0.122379 --6.83274,0.989783,0.966602,1,3,0,7.42092,0.201045 --7.91782,0.888504,0.966602,2,3,0,8.11333,0.464156 --6.80066,1,0.966602,2,3,0,7.9555,0.210975 --6.8121,0.997503,0.966602,1,1,0,6.8213,0.207125 --6.79259,0.988455,0.966602,1,3,0,6.92232,0.288494 --6.8315,0.970134,0.966602,2,7,0,6.96791,0.201384 --6.81585,0.990277,0.966602,2,3,0,6.94354,0.205949 --6.81585,0.953771,0.966602,1,3,0,7.06878,0.205949 --6.7813,0.977389,0.966602,2,3,0,7.0192,0.283133 --6.83118,0.995501,0.966602,2,3,0,6.83336,0.303129 --7.06197,0.888348,0.966602,1,3,0,7.45082,0.16062 --7.18286,0.907624,0.966602,1,3,0,7.93777,0.376607 --7.18286,0.692063,0.966602,1,1,0,7.98854,0.376607 --6.99335,0.769603,0.966602,2,3,0,8.47222,0.34353 --6.82613,1,0.966602,1,1,0,6.94888,0.301429 --6.85724,0.945203,0.966602,2,3,0,7.1501,0.311214 --6.89681,0.996256,0.966602,2,3,0,6.91921,0.321931 --7.54145,0.823104,0.966602,1,1,0,7.54193,0.424298 --8.0319,0.852149,0.966602,1,1,0,8.20403,0.474941 --7.51948,1,0.966602,1,1,0,8.02777,0.421716 --6.7945,1,0.966602,2,3,0,7.48299,0.21324 --6.9101,0.988982,0.966602,2,7,0,6.91011,0.325226 --7.69829,0.700278,0.966602,1,3,0,8.84155,0.108408 --7.30686,1,0.966602,1,1,0,7.65839,0.135494 --6.78538,0.957846,0.966602,1,3,0,7.5894,0.285157 --6.83995,0.938766,0.966602,2,3,0,7.16033,0.199116 --7.03205,0.935223,0.966602,1,3,0,7.32805,0.351045 --7.25471,0.934001,0.966602,1,1,0,7.3033,0.387317 --6.86173,1,0.966602,1,1,0,7.13994,0.312511 --7.34698,0.805772,0.966602,1,3,0,8.04219,0.132158 --6.79032,0.994843,0.966602,1,3,0,7.31395,0.21487 --6.88738,0.863466,0.966602,2,3,0,7.76869,0.188176 --6.75022,0.999885,0.966602,1,3,0,6.88201,0.241765 --9.72697,0.401581,0.966602,1,3,0,11.871,0.0448379 --7.29716,0.941118,0.966602,1,3,0,9.89698,0.136326 --6.88983,0.931063,0.966602,2,7,0,7.82581,0.320147 --6.88983,0.877081,0.966602,1,1,0,7.20044,0.320147 --7.02885,0.960054,0.966602,1,1,0,7.04783,0.350442 --7.14568,0.965087,0.966602,1,1,0,7.20621,0.370743 --7.06653,1,0.966602,1,1,0,7.19891,0.357353 --7.04411,1,0.966602,1,1,0,7.14,0.35329 --6.77678,1,0.966602,1,3,0,6.97463,0.280745 --6.80475,0.997495,0.966602,2,3,0,6.80786,0.29359 --6.76175,1,0.966602,1,1,0,6.79335,0.271087 --7.1171,0.92398,0.966602,1,3,0,7.13732,0.366063 --6.75907,0.989229,0.966602,1,3,0,7.16954,0.231734 --6.82132,0.993917,0.966602,2,3,0,6.82278,0.299764 --6.9912,0.952714,0.966602,1,1,0,6.99371,0.343097 --6.85092,1,0.966602,1,1,0,6.96037,0.309344 --6.85092,0.902285,0.966602,1,3,0,7.31725,0.309344 --6.80042,0.978125,0.966602,1,3,0,6.9937,0.21106 --6.74868,0.999941,0.966602,1,3,0,6.79764,0.245478 --6.88136,0.880797,0.966602,2,3,0,7.47742,0.189431 --6.81825,0.748207,0.966602,2,3,0,9.48148,0.205214 --8.32897,0.71078,0.966602,1,3,0,8.87755,0.500932 --10.6743,0.469188,0.966602,1,1,0,10.901,0.646831 --8.87494,1,0.966602,1,1,0,10.5298,0.542672 --7.37913,1,0.966602,1,1,0,8.43946,0.404323 --6.80287,0.961169,0.966602,1,3,0,7.58744,0.2102 --7.05012,0.813974,0.966602,2,3,0,8.16246,0.162128 --6.74852,1,0.966602,2,3,0,7.00443,0.253977 --6.76533,0.995191,0.966602,1,3,0,6.7738,0.227238 --6.98063,0.834446,0.966602,2,3,0,7.87226,0.171823 --8.06705,0.926923,0.966602,2,3,0,8.1162,0.478167 --7.44386,1,0.966602,1,1,0,7.99309,0.412548 --8.25137,0.922884,0.966602,2,3,0,8.36369,0.494404 --11.2946,0.376957,0.966602,1,1,0,11.4495,0.675004 --11.0072,1,0.966602,2,7,0,11.0861,0.0277459 --7.98943,0.900816,0.966602,1,3,0,11.2707,0.0936552 --7.75649,1,0.966602,1,1,0,8.05347,0.105178 --7.18981,0.871084,0.966602,1,3,0,9.12215,0.377677 --8.77573,0.813744,0.966602,2,3,0,8.79007,0.535567 --8.42715,1,0.966602,1,1,0,9.13719,0.508954 --6.7632,1,0.966602,1,3,0,8.38616,0.228656 --6.75271,0.923874,0.966602,2,3,0,7.32627,0.238025 --6.95038,0.971976,0.966602,2,3,0,6.99053,0.334516 --7.72508,0.635255,0.966602,1,3,0,8.99408,0.106901 --7.04491,0.977329,0.966602,1,3,0,7.62652,0.162802 --7.09963,0.990355,0.966602,1,1,0,7.14407,0.156058 --6.82157,0.99484,0.966602,1,3,0,7.05019,0.204219 --6.81758,0.982364,0.966602,1,3,0,6.97938,0.298432 --6.80468,0.970679,0.966602,2,3,0,7.00164,0.293564 --8.39598,0.548499,0.966602,1,3,0,9.87751,0.0775852 --7.39385,0.862636,0.966602,1,3,0,10.6126,0.406226 --6.9576,1,0.966602,1,1,0,7.27493,0.336088 --7.29037,0.903948,0.966602,1,1,0,7.31035,0.392373 --7.53555,0.924861,0.966602,1,1,0,7.65862,0.423609 --8.29216,0.780801,0.966602,1,1,0,8.4355,0.497857 --7.01105,1,0.966602,1,1,0,7.89029,0.347031 --6.81296,1,0.966602,1,1,0,6.95546,0.296741 --6.99657,0.981386,0.966602,2,3,0,6.99763,0.344176 --6.78259,1,0.966602,2,3,0,6.95318,0.218132 --6.7504,0.99987,0.966602,1,3,0,6.77748,0.24145 --6.75161,0.999708,0.966602,1,1,0,6.75194,0.239517 --6.87628,0.878255,0.966602,2,3,0,7.51556,0.190516 --6.84281,1,0.966602,2,3,0,6.88234,0.198376 --7.22507,0.944234,0.966602,1,3,0,7.23939,0.142859 --8.76836,0.826964,0.966602,1,3,0,8.92547,0.0660126 --8.23425,1,0.966602,1,1,0,8.78029,0.08347 --6.76288,1,0.966602,2,3,0,8.00099,0.228873 --6.86146,0.982253,0.966602,1,3,0,6.86586,0.193832 --7.48007,0.850669,0.966602,1,3,0,7.95863,0.416994 --7.12874,1,0.966602,2,3,0,7.43277,0.367989 --6.75019,1,0.966602,1,3,0,7.07642,0.258284 --7.79884,0.735006,0.966602,1,3,0,8.39057,0.102923 --7.74368,1,0.966602,1,1,0,7.9367,0.105875 --6.96911,0.921014,0.966602,1,3,0,8.6873,0.338544 --6.75249,0.994676,0.966602,1,3,0,6.99419,0.23831 --6.88026,0.771993,0.966602,2,3,0,8.41886,0.189665 --6.75065,0.901145,0.966602,2,3,0,7.81887,0.259143 --6.76476,0.995871,0.966602,2,3,0,6.77992,0.273322 --6.96773,0.934477,0.966602,2,3,0,7.18474,0.338252 --6.83427,1,0.966602,1,1,0,6.9362,0.304143 --7.19473,0.900443,0.966602,1,1,0,7.1948,0.378429 --6.86952,1,0.966602,2,3,0,7.11547,0.192 --6.76041,1,0.966602,2,3,0,6.84403,0.270013 --6.83637,0.897814,0.966602,2,3,0,7.3942,0.200063 --6.75294,0.999592,0.966602,1,3,0,6.82574,0.237737 --6.8802,0.966148,0.966602,1,3,0,6.93607,0.317615 --6.8802,0.363223,0.966602,1,3,0,10.8333,0.317615 --6.74934,0.997899,0.966602,1,3,0,6.88954,0.243618 --7.42957,0.87282,0.966602,2,3,0,7.75247,0.410765 --7.42709,1,0.966602,2,3,0,7.63233,0.410453 --7.26731,1,0.966602,1,1,0,7.50387,0.389122 --7.09355,1,0.966602,1,1,0,7.28577,0.362079 --7.57233,0.651494,0.966602,1,3,0,8.97343,0.11599 --7.65306,0.989322,0.966602,1,1,0,7.76775,0.111032 --7.78358,0.983592,0.966602,1,1,0,7.8928,0.103727 --7.44397,1,0.966602,2,3,0,7.77383,0.124719 --7.16424,1,0.966602,1,1,0,7.4177,0.148924 --6.77019,0.972207,0.966602,1,3,0,7.34623,0.276912 --6.81953,0.986809,0.966602,1,1,0,6.82005,0.299133 --7.12236,0.916588,0.966602,1,1,0,7.12237,0.366937 --8.39561,0.84999,0.966602,2,3,0,8.40843,0.506405 --7.54552,1,0.966602,1,1,0,8.2552,0.424774 --7.54552,0.81546,0.966602,1,1,0,8.12493,0.424774 --7.06592,1,0.966602,2,3,0,7.43158,0.357243 --6.75369,1,0.966602,1,3,0,7.01133,0.263458 --6.74816,0.999998,0.966602,1,3,0,6.75294,0.252118 --6.792,0.903305,0.966602,2,3,0,7.38182,0.214205 --6.77354,0.992007,0.966602,1,3,0,6.85853,0.278919 --6.92175,0.945504,0.966602,1,3,0,7.08168,0.181552 --6.76073,0.988315,0.966602,1,3,0,7.00011,0.270273 --7.55179,0.87629,0.966602,2,3,0,7.56802,0.117313 --7.47762,0.869257,0.966602,2,3,0,9.22826,0.416696 --7.04135,1,0.966602,1,1,0,7.37497,0.35278 --6.75371,1,0.966602,1,3,0,6.99062,0.263487 --6.94497,0.776545,0.966602,2,3,0,8.22998,0.177507 --6.81632,1,0.966602,1,1,0,6.91831,0.205802 --6.81933,0.999784,0.966602,2,3,0,6.83398,0.204885 --6.76524,0.991956,0.966602,1,3,0,6.87968,0.273661 --6.76566,0.99989,0.966602,1,1,0,6.77,0.273952 --6.76566,0.893739,0.966602,1,3,0,7.15739,0.273952 --6.74806,0.999847,0.966602,1,3,0,6.76639,0.248858 --6.75016,0.976875,0.966602,2,3,0,6.89469,0.24189 --6.74816,0.985421,0.966602,2,3,0,6.84433,0.252052 --6.75346,0.998812,0.966602,1,3,0,6.75408,0.26318 --7.17851,0.574768,0.966602,2,3,0,9.76611,0.14745 --9.16913,0.628317,0.966602,2,3,0,11.1486,0.0559261 --8.98926,1,0.966602,2,3,0,9.37057,0.0601945 --9.77737,0.948876,0.966602,1,1,0,9.82891,0.0439711 --6.89948,0.961941,0.966602,2,7,0,9.14119,0.322603 --6.91677,0.998335,0.966602,2,3,0,6.95508,0.326832 --6.96932,0.861132,0.966602,2,3,0,7.69352,0.338588 --6.82079,1,0.966602,1,1,0,6.93041,0.299576 --7.61466,0.719485,0.966602,2,7,0,8.42906,0.113344 --6.96798,0.899489,0.966602,1,3,0,8.47779,0.338306 --7.19044,0.978323,0.966602,2,3,0,7.2216,0.377773 --6.74826,0.986246,0.966602,2,3,0,7.28668,0.247298 --7.81219,0.84185,0.966602,2,3,0,7.85829,0.102229 --6.74946,1,0.966602,2,3,0,7.60532,0.25675 --7.20754,0.898437,0.966602,1,3,0,7.26795,0.380372 --6.79338,1,0.966602,2,3,0,7.14622,0.213668 --8.49871,0.674,0.966602,1,3,0,9.15015,0.0741394 --7.98529,1,0.966602,1,1,0,8.4946,0.0938428 --7.31792,0.87829,0.966602,2,3,0,10.0222,0.134558 --7.83312,0.929954,0.966602,1,1,0,7.83867,0.101154 --7.34943,1,0.966602,1,1,0,7.77554,0.131959 --7.22303,0.97392,0.966602,2,3,0,7.83894,0.143054 --6.75277,0.936209,0.966602,2,3,0,7.85855,0.262317 --6.99042,0.94742,0.966602,1,3,0,7.01213,0.34294 --7.53852,0.844428,0.966602,1,1,0,7.55375,0.423956 --10.204,0.418763,0.966602,1,1,0,10.2392,0.623253 --10.8757,0.938364,0.966602,2,3,0,11.8573,0.65632 --7.61156,1,0.966602,1,1,0,9.84058,0.432322 --6.9179,1,0.966602,1,1,0,7.40161,0.327101 --6.9179,0.959344,0.966602,1,1,0,7.04271,0.327101 --7.26087,0.797046,0.966602,1,3,0,7.99888,0.139534 --7.53312,0.960027,0.966602,1,1,0,7.56221,0.118538 --6.79234,0.941367,0.966602,1,3,0,7.93206,0.288383 --6.98913,0.89176,0.966602,2,3,0,7.3933,0.170547 --6.91331,1,0.966602,2,3,0,6.99186,0.1831 --6.98505,0.945507,0.966602,1,3,0,7.39099,0.341851 --7.11435,0.839486,0.966602,1,3,0,7.82886,0.15436 --7.04473,1,0.966602,2,3,0,7.14271,0.162825 --6.8375,0.97357,0.966602,1,3,0,7.34565,0.305185 --7.20334,0.898846,0.966602,1,1,0,7.20347,0.379738 --7.42292,0.933146,0.966602,1,1,0,7.52245,0.409929 --7.64074,0.932253,0.966602,1,1,0,7.80914,0.435569 --8.09585,0.861555,0.966602,1,1,0,8.30325,0.480777 --7.48181,1,0.966602,1,1,0,8.03671,0.417205 --9.36817,0.539451,0.966602,1,1,0,9.42377,0.57544 --6.74853,1,0.966602,1,3,0,9.01803,0.246012 --6.97172,0.94666,0.966602,1,3,0,7.03731,0.173191 --8.94598,0.788081,0.966602,2,3,0,9.12593,0.0612818 --6.75882,1,0.966602,2,3,0,8.54814,0.231933 --6.83617,0.976572,0.966602,1,3,0,6.89524,0.304757 --6.76136,1,0.966602,2,3,0,6.81953,0.229966 --6.74834,0.96585,0.966602,2,3,0,6.9818,0.246846 --6.74834,0.704914,0.966602,1,3,0,8.1095,0.246846 --6.92359,0.957495,0.966602,1,3,0,6.96593,0.328444 --7.53841,0.82943,0.966602,1,1,0,7.54134,0.423943 --6.78466,1,0.966602,1,3,0,7.3509,0.284808 --6.75032,1,0.966602,1,3,0,6.77775,0.258533 --6.82321,0.978795,0.966602,1,3,0,6.86306,0.203735 --7.45564,0.939921,0.966602,2,3,0,7.51707,0.414006 --6.93946,1,0.966602,1,1,0,7.30609,0.332088 --7.18313,0.929407,0.966602,1,1,0,7.20525,0.376649 --6.79824,0.965331,0.966602,1,3,0,7.36961,0.211847 --7.20832,0.929593,0.966602,1,3,0,7.24764,0.144474 --7.42697,0.966564,0.966602,1,1,0,7.45945,0.125965 --6.81324,0.996841,0.966602,2,3,0,7.45323,0.206766 --6.75187,1,0.966602,2,3,0,6.80055,0.261077 --6.80122,0.984385,0.966602,1,3,0,6.83651,0.210777 --6.78157,0.991312,0.966602,1,3,0,6.88659,0.28327 --6.86213,0.943368,0.966602,2,3,0,7.10285,0.193677 --6.74956,0.870794,0.966602,2,3,0,8.0708,0.243105 --7.39065,0.850908,0.966602,1,3,0,7.62718,0.128707 --6.89225,0.987795,0.966602,1,3,0,7.3148,0.187183 --6.83029,0.978066,0.966602,1,3,0,7.10862,0.302831 --7.20845,0.839439,0.966602,2,3,0,7.71767,0.144461 --7.4216,0.967363,0.966602,1,1,0,7.45512,0.126363 --7.87993,0.940232,0.966602,1,1,0,7.89694,0.0988145 --6.83574,1,0.966602,2,3,0,7.83806,0.200231 --6.81996,1,0.966602,1,1,0,6.84461,0.204698 --6.93997,0.991807,0.966602,2,3,0,6.94038,0.178353 --7.53027,0.918629,0.966602,1,3,0,7.54954,0.118727 --7.49393,1,0.966602,1,1,0,7.64403,0.121185 --7.44209,1,0.966602,1,1,0,7.59304,0.124856 --7.74373,0.959818,0.966602,1,1,0,7.7866,0.105872 --7.77828,0.995723,0.966602,1,1,0,7.93022,0.104008 --7.72844,1,0.966602,1,1,0,7.91674,0.106714 --6.80482,0.924477,0.966602,1,3,0,8.25944,0.293618 --7.33128,0.893709,0.966602,1,3,0,7.33736,0.397986 --7.73357,0.878741,0.966602,1,1,0,7.8508,0.445574 --7.35065,1,0.966602,1,1,0,7.73565,0.400579 --6.99373,1,0.966602,1,1,0,7.26805,0.343606 --7.03228,0.988527,0.966602,1,1,0,7.09447,0.351088 --7.07096,0.988377,0.966602,1,1,0,7.14471,0.358141 --7.70018,0.820812,0.966602,1,1,0,7.72806,0.442029 --6.77192,0.879211,0.966602,2,3,0,8.47139,0.277968 --6.79564,0.993665,0.966602,1,1,0,6.79814,0.289831 --6.80458,0.997566,0.966602,1,1,0,6.81528,0.293522 --6.87638,0.980182,0.966602,1,1,0,6.88148,0.316587 --6.74821,0.999856,0.966602,1,3,0,6.86641,0.252436 --6.89222,0.978055,0.966602,2,3,0,6.90939,0.187188 --6.90659,0.961213,0.966602,1,3,0,7.23558,0.324369 --6.91673,0.928405,0.966602,1,3,0,7.30888,0.182467 --7.10788,0.958336,0.966602,2,3,0,7.36475,0.155101 --6.76238,0.998548,0.966602,1,3,0,7.09031,0.229224 --6.77458,0.997186,0.966602,1,1,0,6.77577,0.221957 --7.48317,0.839981,0.966602,1,3,0,7.74339,0.417369 --7.48317,0.764582,0.966602,2,3,0,8.94175,0.417369 --8.57907,0.698813,0.966602,1,1,0,8.68014,0.520889 --7.22628,1,0.966602,1,1,0,8.16987,0.38317 --7.9453,0.794189,0.966602,1,1,0,8.00513,0.466801 --6.96157,1,0.966602,2,3,0,7.6413,0.336943 --7.82691,0.765238,0.966602,1,1,0,7.82918,0.455182 --8.93753,0.897912,0.966602,2,3,0,9.13415,0.547059 --8.77795,1,0.966602,2,7,0,8.78796,0.0657455 --7.98408,1,0.966602,1,1,0,8.70976,0.0938974 --7.15348,0.987542,0.966602,2,3,0,8.24682,0.150058 --6.75088,1,0.966602,2,3,0,7.11524,0.240623 --6.75072,0.999201,0.966602,2,3,0,6.75799,0.259257 --6.84355,0.978336,0.966602,2,3,0,6.90207,0.307094 --6.78152,1,0.966602,1,1,0,6.82809,0.283245 --7.2019,0.630913,0.966602,2,3,0,9.2653,0.145103 --6.98524,0.98182,0.966602,2,3,0,7.47954,0.171128 --6.75748,0.999018,0.966602,1,3,0,6.9688,0.233077 --7.07216,0.952635,0.966602,2,3,0,7.14017,0.159351 --6.96235,0.981191,0.966602,2,3,0,7.3458,0.174666 --7.05356,0.983237,0.966602,1,1,0,7.07596,0.161686 --7.19381,0.960265,0.966602,2,3,0,7.57447,0.145905 --8.77421,0.90238,0.966602,2,3,0,8.80976,0.535456 --7.60311,1,0.966602,1,1,0,8.51776,0.431371 --9.34714,0.564378,0.966602,1,1,0,9.43692,0.574121 --8.47583,1,0.966602,1,1,0,9.48273,0.512839 --8.47583,0.281116,0.966602,1,1,0,11.3955,0.512839 --6.91247,1,0.966602,2,3,0,8.38564,0.183258 --6.90228,0.983418,0.966602,2,3,0,7.1328,0.185198 --6.81086,1,0.966602,1,1,0,6.88402,0.207526 --6.81522,0.990225,0.966602,2,3,0,6.92055,0.206143 --6.75159,0.998658,0.966602,2,3,0,6.82513,0.239537 --6.89943,0.961799,0.966602,1,3,0,6.95521,0.322592 --6.87355,0.946639,0.966602,1,3,0,7.2114,0.19111 --6.98061,0.948105,0.966602,1,3,0,7.31613,0.340939 --6.86205,0.948274,0.966602,1,3,0,7.29633,0.193696 --7.03306,0.966823,0.966602,1,1,0,7.03384,0.164366 --6.85542,1,0.966602,1,1,0,6.99813,0.195253 --6.78852,1,0.966602,1,1,0,6.84131,0.215601 --7.09777,0.946331,0.966602,1,3,0,7.12237,0.156275 --7.22693,0.978472,0.966602,1,1,0,7.2623,0.142682 --7.06646,1,0.966602,2,3,0,7.22444,0.160058 --6.76847,0.894205,0.966602,2,3,0,8.42966,0.27583 --6.77482,0.99832,0.966602,1,1,0,6.77881,0.279656 --6.77482,0.866566,0.966602,1,3,0,7.26561,0.279656 --7.30088,0.89026,0.966602,1,3,0,7.32159,0.393832 --6.76167,0.988421,0.966602,1,3,0,7.35877,0.229736 --6.75492,0.919906,0.966602,2,3,0,7.35535,0.235516 --6.87573,0.984777,0.966602,2,3,0,6.88968,0.316413 --7.00343,0.904175,0.966602,2,3,0,7.48743,0.168464 --6.86096,1,0.966602,1,1,0,6.9773,0.193948 --7.05325,0.962845,0.966602,1,1,0,7.05342,0.161726 --7.02294,1,0.966602,1,1,0,7.09498,0.165734 --8.83383,0.776242,0.966602,1,3,0,9.20578,0.0642165 --8.74996,1,0.966602,2,3,0,9.05999,0.0665289 --6.87215,0.962165,0.966602,2,7,0,8.31127,0.315435 --6.77008,0.986893,0.966602,1,3,0,6.94986,0.224375 --6.77008,0.872898,0.966602,1,3,0,7.40846,0.224375 --7.37106,0.916068,0.966602,2,3,0,7.47181,0.130233 --6.87767,0.988561,0.966602,1,3,0,7.29783,0.190218 --6.75591,0.999288,0.966602,1,3,0,6.86263,0.234519 --7.05383,0.958453,0.966602,2,3,0,7.11844,0.355068 --7.21845,0.983582,0.966602,2,3,0,7.28004,0.382007 --6.97352,0.887068,0.966602,1,3,0,7.85407,0.172911 --6.77663,1,0.966602,2,3,0,6.92569,0.280662 --6.86278,0.976775,0.966602,1,1,0,6.86293,0.312809 --7.16858,0.914035,0.966602,1,1,0,7.17201,0.374383 --7.16858,0.222007,0.966602,1,3,0,12.7257,0.374383 --6.75872,0.989731,0.966602,1,3,0,7.21816,0.232017 --6.77213,0.996883,0.966602,1,1,0,6.77262,0.223244 --6.74891,0.969871,0.966602,2,3,0,6.97183,0.255299 --9.08275,0.593159,0.966602,1,3,0,9.35394,0.556967 --8.84853,1,0.966602,2,7,0,8.88761,0.0638216 --7.9001,1,0.966602,1,1,0,8.75207,0.0978321 --8.49506,0.93892,0.966602,1,1,0,8.52512,0.0742583 --8.94163,0.963091,0.966602,1,1,0,9.03987,0.0613924 --6.79017,0.956601,0.966602,2,7,0,8.45872,0.287404 --6.94492,0.936502,0.966602,1,3,0,7.15866,0.177516 --6.82278,0.989774,0.966602,2,3,0,7.06285,0.203861 --7.32681,0.918978,0.966602,1,3,0,7.37154,0.133814 --6.92859,0.989079,0.966602,1,3,0,7.25679,0.180329 --6.86613,0.986089,0.966602,2,3,0,7.104,0.192762 --6.92825,0.995863,0.966602,2,3,0,6.94014,0.180388 --7.19543,0.951949,0.966602,1,1,0,7.19591,0.145744 --7.49202,0.955149,0.966602,1,1,0,7.5107,0.121318 --6.88744,0.947064,0.966602,1,3,0,8.11695,0.319526 --7.71284,0.86572,0.966602,2,7,0,7.71662,0.107585 --7.77944,0.982773,0.966602,2,7,0,7.78214,0.450348 --7.34985,0.688254,0.966602,1,3,0,9.49075,0.131925 --7.34136,1,0.966602,2,3,0,7.45482,0.132615 --7.60653,0.962579,0.966602,1,1,0,7.64566,0.113844 --6.77687,0.956911,0.966602,2,3,0,8.17804,0.280795 --7.53879,0.773273,0.966602,1,3,0,8.12957,0.118164 --7.15987,1,0.966602,1,1,0,7.48648,0.149383 --7.55555,0.859675,0.966602,1,3,0,8.63819,0.425938 --7.55555,0.417867,0.966602,1,1,0,9.39259,0.425938 --7.15685,1,0.966602,1,1,0,7.49616,0.372531 --6.78651,1,0.966602,2,3,0,7.10238,0.216432 --6.74823,0.958555,0.966602,2,3,0,7.06861,0.25257 --8.15831,0.724215,0.966602,1,3,0,8.34559,0.486342 --8.15831,0.555242,0.966602,1,1,0,9.60076,0.486342 --8.15831,0.696269,0.966602,1,1,0,9.19394,0.486342 --7.42209,1,0.966602,1,1,0,8.03099,0.409823 --7.06555,1,0.966602,1,1,0,7.35639,0.357179 --8.65042,0.603912,0.966602,1,1,0,8.65196,0.526311 --7.20034,1,0.966602,1,1,0,8.20268,0.379283 --7.10492,1,0.966602,1,1,0,7.25751,0.364018 --6.77037,1,0.966602,2,3,0,7.06961,0.224214 --7.17094,0.900764,0.966602,1,3,0,7.35257,0.374753 --7.58456,0.634797,0.966602,1,3,0,9.14113,0.115215 --8.0049,0.948877,0.966602,1,1,0,8.0398,0.092959 --6.89503,0.885157,0.966602,1,3,0,8.94138,0.32148 --6.81368,0.951499,0.966602,2,3,0,7.18675,0.297009 --6.79475,1,0.966602,1,1,0,6.81723,0.289444 --7.49291,0.746855,0.966602,2,3,0,8.25399,0.121256 --6.96683,0.929287,0.966602,1,3,0,8.282,0.338063 --7.31723,0.769158,0.966602,2,3,0,8.47987,0.134615 --7.20318,1,0.966602,2,3,0,7.35334,0.144977 --7.20318,0.937406,0.966602,1,1,0,7.57101,0.144977 --7.59122,0.980885,0.966602,2,3,0,7.60022,0.114797 --6.75327,1,0.966602,2,3,0,7.4229,0.262947 --7.19172,0.933058,0.966602,2,3,0,7.21156,0.146114 --6.81335,0.9563,0.966602,1,3,0,7.50333,0.296887 --7.0224,0.818917,0.966602,2,3,0,7.93729,0.165807 --6.75542,0.912386,0.966602,2,3,0,7.78948,0.235004 --6.76251,0.99833,0.966602,1,1,0,6.76307,0.229135 --7.62281,0.878971,0.966602,2,3,0,7.7098,0.112847 --6.85325,0.951833,0.966602,1,3,0,8.23627,0.310038 --7.27874,0.809927,0.966602,2,7,0,7.89504,0.137935 --7.78455,0.929711,0.966602,1,1,0,7.78892,0.103675 --7.34582,1,0.966602,1,1,0,7.737,0.132252 --6.74935,1,0.966602,2,3,0,7.26409,0.243591 --7.79388,0.846336,0.966602,2,3,0,7.84687,0.103183 --6.89557,0.98198,0.966602,1,3,0,7.7302,0.186516 --6.78972,0.974847,0.966602,2,3,0,7.12528,0.2872 --6.75546,1,0.966602,1,3,0,6.78089,0.265445 --6.94585,0.874944,0.966602,2,3,0,7.47372,0.17736 --7.82784,0.884829,0.966602,1,3,0,7.90154,0.101424 --7.0373,0.97456,0.966602,1,3,0,7.72651,0.163802 --7.30547,0.955254,0.966602,1,1,0,7.31276,0.135612 --6.94716,0.923831,0.966602,1,3,0,7.95045,0.333808 --7.09207,0.790907,0.966602,2,3,0,8.12621,0.361825 --6.97759,1,0.966602,1,1,0,7.10353,0.340315 --7.5499,0.838439,0.966602,1,1,0,7.56176,0.425283 --8.20592,0.935653,0.966602,2,3,0,8.36319,0.4905 --6.77099,0.99673,0.966602,1,3,0,8.23739,0.223868 --7.47495,0.859166,0.966602,1,3,0,7.64674,0.122506 --7.60522,0.982196,0.966602,1,1,0,7.69241,0.113925 --7.3529,1,0.966602,1,1,0,7.61196,0.13168 --7.06351,1,0.966602,1,1,0,7.31198,0.160427 --11.4192,0.601812,0.966602,3,7,0,12.4855,0.680306 --9.36048,1,0.966602,1,1,0,11.3137,0.574958 --8.06748,1,0.966602,2,3,0,9.18541,0.478205 --8.06748,0.789828,0.966602,1,1,0,8.85864,0.478205 --7.04036,0.849393,0.966602,1,3,0,9.01099,0.163398 --7.41098,0.93955,0.966602,1,1,0,7.41209,0.127158 --7.12765,1,0.966602,2,3,0,7.37917,0.152865 --6.8996,0.955725,0.966602,1,3,0,7.58844,0.322632 --6.86216,0.951383,0.966602,1,3,0,7.18831,0.193669 --6.81734,0.981723,0.966602,1,3,0,7.04071,0.298347 --6.81734,0.71857,0.966602,1,3,0,8.24043,0.298347 --6.83263,0.998587,0.966602,2,3,0,6.84807,0.303607 --6.75173,1,0.966602,1,3,0,6.81715,0.260871 --7.13943,0.80667,0.966602,2,3,0,7.90165,0.151571 --6.74817,1,0.966602,2,3,0,7.08816,0.247862 --7.81308,0.763562,0.966602,2,3,0,8.32712,0.102183 --7.46254,0.975439,0.966602,2,3,0,8.39613,0.123384 --10.6193,0.856396,0.966602,2,3,0,10.7825,0.644181 --7.92589,1,0.966602,1,1,0,9.8506,0.464937 --7.30402,1,0.966602,1,1,0,7.81385,0.394266 --7.14204,1,0.966602,1,1,0,7.34192,0.370156 --6.83119,1,0.966602,2,3,0,7.0701,0.20147 --6.79238,0.804489,0.966602,2,3,0,8.66937,0.214057 --7.83257,0.804729,0.966602,1,3,0,8.10578,0.101182 --7.27175,1,0.966602,2,3,0,7.75337,0.138556 --6.8331,0.94612,0.966602,1,3,0,7.66515,0.303761 --7.05382,0.938362,0.966602,1,1,0,7.05611,0.355066 --8.10624,0.875677,0.966602,2,3,0,8.11511,0.481712 --7.0868,1,0.966602,2,3,0,7.87744,0.157575 --7.93409,0.890813,0.966602,1,3,0,7.96225,0.0962102 --7.63694,1,0.966602,1,1,0,7.96086,0.111993 --7.37848,1,0.966602,1,1,0,7.64496,0.12965 --7.79294,0.944347,0.966602,1,1,0,7.8121,0.103233 --7.79294,0.905113,0.966602,1,1,0,8.61742,0.103233 --8.72583,0.904284,0.966602,1,1,0,8.72606,0.0672142 --7.88718,1,0.966602,2,3,0,8.64364,0.0984597 --8.69572,0.919103,0.966602,1,1,0,8.70271,0.068082 --7.97831,1,0.966602,1,1,0,8.64177,0.0941603 --8.12729,0.983845,0.966602,1,1,0,8.26691,0.0877119 --6.9558,0.869029,0.966602,1,3,0,9.28827,0.335698 --6.9558,0.852667,0.966602,1,1,0,7.3277,0.335698 --6.89619,1,0.966602,1,1,0,6.96871,0.321775 --6.94937,0.994884,0.966602,2,3,0,6.98061,0.334294 --6.78147,0.979229,0.966602,1,3,0,7.06767,0.218635 --6.80894,0.984668,0.966602,1,3,0,6.90057,0.295223 --6.86977,0.941798,0.966602,2,3,0,7.17378,0.191944 --7.00055,0.974532,0.966602,1,1,0,7.00438,0.168878 --6.88324,0.956769,0.966602,1,3,0,7.36586,0.318422 --7.15807,0.797792,0.966602,2,3,0,8.16068,0.149573 --9.46804,0.760468,0.966602,1,3,0,10.0013,0.0496216 --8.54738,1,0.966602,1,1,0,9.41364,0.0725787 --8.87275,0.973058,0.966602,1,1,0,9.00766,0.0631781 --6.94011,0.975529,0.966602,1,3,0,9.03515,0.17833 --6.9303,0.859906,0.966602,2,3,0,8.23504,0.180027 --7.51334,0.919391,0.966602,1,3,0,7.53369,0.119862 --7.85932,0.985287,0.966602,2,3,0,7.90089,0.0998341 --8.34146,0.948663,0.966602,1,1,0,8.38701,0.079503 --6.76298,0.966708,0.966602,1,3,0,8.65321,0.228808 --6.88566,0.977277,0.966602,1,3,0,6.89333,0.188532 --6.81315,0.965243,0.966602,2,3,0,7.19181,0.296812 --7.27296,0.827,0.966602,2,3,0,7.78447,0.138448 --7.05885,1,0.966602,1,1,0,7.25218,0.161013 --7.01629,1,0.966602,1,1,0,7.09385,0.16665 --6.80627,0.996475,0.966602,1,3,0,6.97639,0.209036 --6.80627,0.952595,0.966602,1,3,0,7.12247,0.209036 --6.97007,0.986816,0.966602,2,3,0,6.9702,0.338746 --6.83419,1,0.966602,1,1,0,6.93766,0.304115 --6.8104,1,0.966602,1,1,0,6.8397,0.295781 --6.99297,0.896566,0.966602,2,3,0,7.41799,0.343455 --6.99297,0.677873,0.966602,2,7,0,8.48103,0.343455 --7.50925,0.946868,0.966602,2,3,0,7.52646,0.420501 --7.50925,0.520088,0.966602,1,1,0,8.90905,0.420501 --9.11436,0.591139,0.966602,1,1,0,9.19009,0.559076 --7.56733,1,0.966602,1,1,0,8.69994,0.427298 --7.81175,0.923567,0.966602,1,1,0,8.02269,0.453651 --7.04714,1,0.966602,2,3,0,7.58873,0.353847 --7.00695,1,0.966602,1,1,0,7.10093,0.34623 --7.01275,0.998267,0.966602,1,1,0,7.08497,0.347361 --6.75288,0.994326,0.966602,1,3,0,7.03894,0.237816 --8.50942,0.672081,0.966602,1,3,0,8.823,0.515486 --8.50942,0.6363,0.966602,1,1,0,9.81795,0.515486 --7.20639,1,0.966602,1,1,0,8.11531,0.380199 --7.20639,0.917947,0.966602,1,1,0,7.48597,0.380199 --6.84389,1,0.966602,1,1,0,7.10083,0.307198 --7.05568,0.979959,0.966602,2,3,0,7.05984,0.355404 --8.8344,0.56769,0.966602,1,1,0,8.83452,0.539791 --7.25368,1,0.966602,1,1,0,8.34682,0.38717 --6.91425,1,0.966602,1,1,0,7.16239,0.326228 --6.81846,1,0.966602,1,1,0,6.89332,0.298749 --6.81846,0.740139,0.966602,1,3,0,7.80016,0.298749 --6.87272,0.984897,0.966602,1,1,0,6.88278,0.315591 --7.22324,0.962447,0.966602,2,3,0,7.22661,0.382718 --6.79338,1,0.966602,2,3,0,7.16199,0.213668 --6.74996,0.999115,0.966602,2,3,0,6.79967,0.242277 --6.7782,0.991796,0.966602,1,3,0,6.79457,0.281516 --8.39837,0.742483,0.966602,2,3,0,8.40127,0.0775026 --6.75177,1,0.966602,2,3,0,8.05613,0.260929 --6.78575,0.988797,0.966602,1,3,0,6.81329,0.216757 --6.77511,0.990732,0.966602,2,3,0,6.86602,0.279819 --6.81374,0.996542,0.966602,2,3,0,6.81559,0.297031 --6.81374,0.696267,0.966602,2,7,0,8.257,0.297031 --6.74818,0.998574,0.966602,2,3,0,6.82326,0.252216 --6.93876,0.96299,0.966602,2,3,0,7.02278,0.331932 --6.86519,1,0.966602,1,1,0,6.93736,0.313494 --6.76478,0.989293,0.966602,1,3,0,6.92787,0.227595 --8.28004,0.790148,0.966602,2,3,0,8.34995,0.0817424 --8.42881,0.982347,0.966602,2,7,0,8.42948,0.509088 --6.77316,0.959219,0.966602,2,3,0,8.79661,0.222697 --6.90868,0.706889,0.966602,2,3,0,9.13449,0.183971 --6.80418,1,0.966602,1,1,0,6.8867,0.209747 --6.87852,0.98429,0.966602,1,1,0,6.87992,0.190034 --7.25521,0.970749,0.966602,2,3,0,7.25634,0.38739 --6.75173,1,0.966602,1,3,0,7.17696,0.260872 --8.70235,0.525962,0.966602,1,3,0,10.0695,0.0678898 --7.21036,0.951302,0.966602,1,3,0,8.63153,0.144275 --7.50052,0.956413,0.966602,1,1,0,7.52158,0.120733 --6.78762,0.995775,0.966602,1,3,0,7.48947,0.21597 --7.91482,0.767426,0.966602,1,3,0,8.29644,0.463866 --6.98975,1,0.966602,2,3,0,7.63062,0.342805 --7.84572,0.766262,0.966602,1,1,0,7.85101,0.457069 --6.88189,0.920771,0.966602,1,3,0,8.3118,0.18932 --7.27304,0.969707,0.966602,2,3,0,7.2744,0.389936 --11.1748,0.428602,0.966602,2,7,0,11.5011,0.0261064 --7.79788,0.917267,0.966602,1,3,0,11.6552,0.102973 --7.9027,0.987572,0.966602,1,1,0,8.03702,0.0977066 --8.10145,0.977996,0.966602,1,1,0,8.2179,0.0887829 --6.85014,0.985733,0.966602,2,7,0,7.8019,0.309109 --6.75063,1,0.966602,2,3,0,6.8425,0.24104 --6.74889,1,0.966602,1,1,0,6.75022,0.244804 --6.80458,0.987341,0.966602,1,3,0,6.81464,0.209608 --6.77877,1,0.966602,1,1,0,6.80119,0.219887 --6.77877,0.677711,0.966602,1,3,0,8.54903,0.219887 --7.5917,0.889769,0.966602,2,3,0,7.70396,0.114767 --6.76039,1,0.966602,2,3,0,7.41487,0.269995 --6.75832,0.99683,0.966602,1,3,0,6.7852,0.232351 --6.94349,0.848369,0.966602,2,3,0,7.74597,0.177757 --7.50424,0.957832,0.966602,2,3,0,7.50652,0.419903 --9.01175,0.610368,0.966602,1,1,0,9.09181,0.552168 --7.30897,1,0.966602,2,3,0,8.65739,0.135314 --6.95698,0.913758,0.966602,2,7,0,7.97424,0.335955 --7.67044,0.802878,0.966602,1,1,0,7.675,0.438823 --7.67044,0.628986,0.966602,1,3,0,9.39809,0.438823 --6.82304,1,0.966602,1,3,0,7.43271,0.300366 --6.78946,1,0.966602,1,1,0,6.81926,0.287081 --6.77525,1,0.966602,1,1,0,6.7901,0.279899 --7.24798,0.901389,0.966602,1,3,0,7.26492,0.386345 --6.74905,0.998489,0.966602,1,3,0,7.23088,0.244363 --7.06623,0.952,0.966602,2,3,0,7.10964,0.160087 --6.81821,0.995477,0.966602,1,3,0,7.02038,0.205225 --8.91307,0.73631,0.966602,2,3,0,8.99871,0.0621249 --6.75003,0.954274,0.966602,1,3,0,9.79345,0.257985 --6.85864,0.969414,0.966602,1,3,0,6.91263,0.19449 --8.36679,0.849037,0.966602,2,3,0,8.68715,0.504052 --8.36679,0.533722,0.966602,1,1,0,9.94954,0.504052 --7.95359,1,0.966602,2,3,0,8.54361,0.467593 --8.17467,0.929759,0.966602,1,1,0,8.51466,0.487779 --7.13964,1,0.966602,1,1,0,7.86776,0.369768 --7.10127,0.829027,0.966602,1,3,0,8.03662,0.155866 --6.75863,0.981264,0.966602,1,3,0,7.22126,0.268499 --8.28003,0.707776,0.966602,1,3,0,8.40952,0.496836 --7.33923,1,0.966602,2,3,0,8.04889,0.399054 --6.74906,1,0.966602,1,3,0,7.26512,0.255712 --6.74827,0.999888,0.966602,1,3,0,6.74989,0.247214 --6.74827,0.839189,0.966602,1,3,0,7.43349,0.247214 --7.50563,0.836505,0.966602,1,3,0,7.63836,0.42007 --6.88079,1,0.966602,1,1,0,7.31817,0.317772 --6.95489,0.992913,0.966602,2,3,0,6.97884,0.3355 --6.76315,0.976014,0.966602,2,3,0,7.10792,0.272152 --9.38464,0.360255,0.966602,2,3,0,11.6404,0.576468 --6.79747,1,0.966602,2,7,0,8.74063,0.290611 --6.86063,0.959654,0.966602,2,3,0,7.03748,0.194025 --9.08965,0.622271,0.966602,1,3,0,9.92985,0.0577643 --10.1422,0.978777,0.966602,2,3,0,10.1604,0.0382445 --7.7471,0.911557,0.966602,1,3,0,10.2027,0.105688 --8.90755,0.914568,0.966602,2,7,0,8.97552,0.544967 --7.50109,1,0.966602,2,7,0,8.58471,0.120694 --7.98047,0.940048,0.966602,1,1,0,8.00048,0.0940617 --8.35602,0.961253,0.966602,1,1,0,8.43309,0.0789842 --8.48001,0.981274,0.966602,2,7,0,8.49542,0.513171 --7.37346,1,0.966602,2,3,0,8.19198,0.403584 --7.10855,0.814515,0.966602,1,3,0,8.37111,0.155024 --7.23765,0.89832,0.966602,1,3,0,8.0984,0.384842 --6.85428,0.938372,0.966602,1,3,0,7.58404,0.195528 --6.88223,0.994277,0.966602,1,1,0,6.89859,0.189248 --6.79685,0.894096,0.966602,2,3,0,7.74612,0.212359 --6.76029,0.926803,0.966602,2,3,0,7.31809,0.230767 --6.7547,0.989169,0.966602,2,3,0,6.83826,0.264631 --7.32773,0.762287,0.966602,2,3,0,8.18301,0.133738 --7.32254,1,0.966602,1,1,0,7.43145,0.13417 --7.05868,0.980185,0.966602,2,3,0,7.65439,0.161035 --7.21279,0.973891,0.966602,1,1,0,7.23776,0.144039 --8.24118,0.889268,0.966602,2,3,0,8.65413,0.0832051 --8.7865,0.93946,0.966602,2,3,0,9.70967,0.0655084 --6.79639,0.860933,0.966602,1,3,0,9.91544,0.290152 --6.82877,0.974285,0.966602,1,3,0,6.96942,0.202144 --6.75593,0.999511,0.966602,1,3,0,6.81644,0.234502 --6.9702,0.944807,0.966602,1,3,0,7.05913,0.338773 --7.00669,0.989209,0.966602,1,1,0,7.06223,0.346178 --7.59047,0.662933,0.966602,1,3,0,8.84111,0.114844 --7.46055,1,0.966602,1,1,0,7.65785,0.123526 --7.71109,0.988846,0.966602,2,3,0,7.76642,0.107684 --7.77579,0.991939,0.966602,1,1,0,7.91321,0.104141 --7.54378,1,0.966602,1,1,0,7.81431,0.117836 --8.20135,0.9217,0.966602,1,1,0,8.20691,0.084743 --7.17036,0.962387,0.966602,1,3,0,8.09066,0.148288 --6.75285,1,0.966602,2,3,0,7.09079,0.262418 --6.75155,0.998918,0.966602,1,3,0,6.76159,0.239594 --7.73486,0.816863,0.966602,2,3,0,8.22667,0.445709 --6.88609,1,0.966602,2,3,0,7.59803,0.188443 --6.76097,1,0.966602,2,3,0,6.8571,0.270466 --7.32421,0.767507,0.966602,2,3,0,8.13528,0.13403 --7.32421,0.924306,0.966602,1,1,0,7.81144,0.13403 --7.6534,0.953797,0.966602,1,1,0,7.6798,0.111012 --6.84322,0.918336,0.966602,1,3,0,8.25707,0.306991 --6.84322,0.527515,0.966602,2,3,0,9.55306,0.306991 --6.83451,0.965951,0.966602,1,3,0,7.05239,0.200562 --6.75789,0.963132,0.966602,2,3,0,7.1099,0.267824 --7.40886,0.817553,0.966602,2,3,0,7.97497,0.408147 --8.48099,0.705086,0.966602,1,1,0,8.5642,0.513248 --7.45663,1,0.966602,1,1,0,8.24558,0.414128 --7.04905,1,0.966602,1,1,0,7.36682,0.354197 --6.78546,0.974386,0.966602,1,3,0,7.18869,0.216878 --7.13675,0.945406,0.966602,2,3,0,7.2537,0.151863 --7.2283,0.99497,0.966602,2,3,0,7.2782,0.142551 --7.74397,0.926512,0.966602,1,1,0,7.7459,0.105859 --8.598,0.909603,0.966602,1,1,0,8.5994,0.0710015 --8.76546,0.977021,0.966602,2,7,0,8.77754,0.53482 --7.35164,0.712671,0.966602,1,3,0,10.6829,0.131781 --6.97193,0.932891,0.966602,1,3,0,8.06886,0.339138 --7.3787,0.753244,0.966602,2,7,0,8.33828,0.129633 --6.7505,1,0.966602,2,3,0,7.26141,0.258874 --6.75219,0.998862,0.966602,2,3,0,6.7593,0.261529 --6.82206,0.982123,0.966602,2,3,0,6.87519,0.300025 --6.74802,0.999746,0.966602,1,3,0,6.82032,0.249684 --6.76778,0.995097,0.966602,1,3,0,6.77307,0.225717 --6.84957,0.986593,0.966602,1,3,0,6.85086,0.196676 --6.81466,1,0.966602,1,1,0,6.84957,0.206319 --6.75356,0.938172,0.966602,2,3,0,7.32302,0.263312 --6.76361,0.983898,0.966602,2,3,0,6.84824,0.228374 --6.75886,0.992822,0.966602,2,3,0,6.82068,0.268698 --7.11985,0.897662,0.966602,2,3,0,7.43338,0.366521 --6.80828,0.961937,0.966602,1,3,0,7.32988,0.208367 --6.78824,0.989576,0.966602,1,3,0,6.90893,0.286514 --7.53438,0.881095,0.966602,2,3,0,7.53829,0.118455 --7.20451,1,0.966602,1,1,0,7.49909,0.144847 --7.18837,1,0.966602,1,1,0,7.28153,0.14645 --7.62327,0.935768,0.966602,1,1,0,7.62774,0.112819 --6.99369,0.980583,0.966602,1,3,0,7.53035,0.169875 --6.9291,1,0.966602,1,1,0,7.00356,0.180239 --6.908,0.959699,0.966602,1,3,0,7.29697,0.324714 --7.62102,0.805307,0.966602,1,1,0,7.62149,0.43338 --8.76557,0.686718,0.966602,1,1,0,8.90052,0.534829 --7.41134,1,0.966602,1,1,0,8.39035,0.408463 --6.78471,0.895349,0.966602,2,3,0,8.05209,0.284836 --6.74924,1,0.966602,2,3,0,6.78046,0.24386 --6.94964,0.968122,0.966602,2,3,0,7.00759,0.334354 --7.09942,0.850603,0.966602,1,3,0,7.74012,0.156082 --7.10533,0.999658,0.966602,2,3,0,7.17332,0.155395 --6.99135,1,0.966602,2,3,0,7.10733,0.170219 --6.80459,0.971662,0.966602,1,3,0,7.20103,0.293527 --8.68882,0.421158,0.966602,2,3,0,10.8432,0.529182 --6.83957,0.975198,0.966602,1,3,0,8.98364,0.199216 --9.18486,0.728577,0.966602,2,3,0,9.99112,0.563722 --7.41553,0.699882,0.966602,1,3,0,11.3464,0.126816 --8.35012,0.930407,0.966602,2,7,0,8.37405,0.502682 --7.75615,1,0.966602,1,1,0,8.3824,0.447938 --7.54125,1,0.966602,1,1,0,7.89306,0.424275 --6.7575,0.99479,0.966602,1,3,0,7.56111,0.233055 --8.58887,0.606877,0.966602,1,3,0,9.51704,0.0712824 --7.29732,0.94998,0.966602,1,3,0,8.48174,0.136312 --7.02296,1,0.966602,1,1,0,7.25568,0.165731 --6.84619,1,0.966602,1,1,0,6.98767,0.197518 --8.24261,0.767078,0.966602,1,3,0,8.59591,0.0831507 --12.5623,0.729936,0.966602,1,3,0,13.9484,0.0159348 --14.3334,0.970236,0.966602,1,1,0,14.3338,0.00863631 --14.2753,1,0.966602,2,3,0,14.7657,0.00880995 --14.8334,0.78244,0.966602,3,7,0,14.941,0.0072806 --16.5724,0.986417,0.966602,1,1,0,16.5761,0.004038 --16.0437,1,0.966602,1,1,0,16.8205,0.00482768 --17.2761,0.997779,0.966602,2,3,0,17.3386,0.00318551 --16.2618,1,0.966602,1,1,0,17.3791,0.00448449 --16.1927,1,0.966602,1,1,0,16.7051,0.00459053 --11.0701,1,0.966602,2,3,0,16.2374,0.0271178 --10.8418,1,0.966602,2,3,0,11.349,0.0294763 --10.2761,1,0.966602,1,1,0,10.9695,0.0363613 --7.30292,0.940953,0.966602,1,3,0,10.696,0.13583 --7.10205,0.907511,0.966602,2,3,0,8.21623,0.363531 --7.24006,0.958251,0.966602,1,1,0,7.31956,0.385193 --6.77987,1,0.966602,1,3,0,7.12422,0.282394 --7.32486,0.88705,0.966602,1,3,0,7.34306,0.397117 --6.96417,0.891559,0.966602,1,3,0,7.96288,0.174375 --6.74819,0.85225,0.966602,2,3,0,8.59785,0.24768 --7.01409,0.668163,0.966602,2,3,0,9.12891,0.166957 --8.49933,0.908044,0.966602,2,3,0,8.60889,0.514694 --7.0889,1,0.966602,1,1,0,8.05555,0.361279 --6.76176,1,0.966602,1,3,0,7.01802,0.27109 --7.51593,0.77803,0.966602,2,3,0,8.22588,0.421295 --7.6048,0.591678,0.966602,1,3,0,9.74973,0.113951 --8.24214,0.925993,0.966602,1,1,0,8.25167,0.0831685 --6.74825,0.936803,0.966602,1,3,0,8.69345,0.252699 --6.76699,0.961748,0.966602,2,3,0,6.97322,0.226198 --7.12721,0.92873,0.966602,1,3,0,7.18502,0.152914 --7.01488,1,0.966602,1,1,0,7.13368,0.166847 --6.94238,1,0.966602,1,1,0,7.02403,0.177944 --6.93141,1,0.966602,1,1,0,6.97602,0.179832 --6.81341,1,0.966602,1,1,0,6.90694,0.206712 --6.82098,0.998368,0.966602,1,1,0,6.8338,0.204394 --6.74974,0.997303,0.966602,1,3,0,6.83876,0.257384 --6.96379,0.951444,0.966602,1,3,0,6.99069,0.337416 --7.05345,0.991194,0.966602,2,3,0,7.09871,0.354998 --7.06163,0.771902,0.966602,2,3,0,8.35282,0.356476 --6.75058,1,0.966602,1,3,0,7.01688,0.259018 --6.98593,0.935367,0.966602,1,3,0,7.10131,0.171023 --6.75019,0.919599,0.966602,2,3,0,7.66652,0.241828 --7.10112,0.94723,0.966602,2,3,0,7.15146,0.155884 --6.98823,1,0.966602,1,1,0,7.103,0.17068 --6.99489,0.99876,0.966602,1,1,0,7.04269,0.169699 --7.1192,0.963507,0.966602,2,3,0,7.44766,0.153812 --9.18538,0.778222,0.966602,1,3,0,9.61437,0.0555592 --7.56102,0.930116,0.966602,1,3,0,9.09274,0.116715 +# 0.408606 +-6.9790249,1,1.0750124,2,3,0,7.2068685,0.17206648 +-7.1694994,0.91887577,1.0750124,1,3,0,7.6963664,0.37452719 +-7.1010086,1,1.0750124,1,1,0,7.245302,0.36335431 +-8.1532916,0.69834328,1.0750124,1,1,0,8.1817503,0.48589973 +-6.9596473,1,1.0750124,1,1,0,7.7565735,0.33652969 +-6.8077667,0.90268605,1.0750124,2,3,0,7.4372147,0.2947721 +-6.9465646,0.88648322,1.0750124,2,3,0,7.3936658,0.17724061 +-7.4692166,0.92422618,1.0750124,1,3,0,7.4743938,0.12291022 +-7.5328071,0.99047875,1.0750124,1,1,0,7.6491059,0.11855909 +-7.4931582,1,1.0750124,2,3,0,7.6543813,0.1212388 +-7.6145133,0.98233435,1.0750124,1,1,0,7.7169058,0.11335344 +-6.9821424,0.98492043,1.0750124,2,3,0,7.8451966,0.17159353 +-6.8247035,1,1.0750124,1,1,0,6.9477564,0.2033023 +-7.6386188,0.86000608,1.0750124,1,3,0,7.7433404,0.11189212 +-7.7041915,0.99094536,1.0750124,1,1,0,7.8437858,0.10807258 +-7.9099499,0.94591512,1.0750124,2,3,0,8.7751042,0.097357739 +-6.9329079,0.88261279,1.0750124,1,3,0,8.7034502,0.33060188 +-6.8036123,0.91617625,1.0750124,2,3,0,7.3484249,0.2931374 +-6.7554263,0.99647659,1.0750124,1,3,0,6.8256911,0.234998 +-6.7609172,0.99861107,1.0750124,1,1,0,6.7618373,0.23029271 +-7.233174,0.89993386,1.0750124,1,3,0,7.319565,0.14209137 +-6.7996735,0.99264297,1.0750124,2,3,0,7.3015345,0.21132832 +-6.8606185,0.98606204,1.0750124,1,1,0,6.8634236,0.19402716 +-6.8264215,1,1.0750124,1,1,0,6.864215,0.20280876 +-6.9833452,0.96617852,1.0750124,1,1,0,6.9836108,0.1714121 +-6.9225008,1,1.0750124,1,1,0,6.9958435,0.18141603 +-6.8775957,1,1.0750124,1,1,0,6.9324561,0.19023296 +-6.8133764,0.9707008,1.0750124,2,3,0,7.1262571,0.2968968 +-7.0337304,0.97361184,1.0750124,2,3,0,7.0352694,0.35136035 +-7.0173872,1,1.0750124,1,1,0,7.1076886,0.34825676 +-7.0173872,0.68776539,1.0750124,1,3,0,8.2912239,0.34825676 +-6.8835834,0.80873973,1.0750124,2,3,0,7.952896,0.3185142 +-7.2156345,0.85034836,1.0750124,1,3,0,7.7687868,0.14376355 +-6.7795,1,1.0750124,2,3,0,7.1125444,0.28220185 +-11.679138,0.38678961,1.0750124,2,3,0,11.93228,0.69102281 +-12.7398,1,1.0750124,2,7,0,12.740109,0.014975594 +-8.0706528,0.95579247,1.0750124,1,3,0,13.80292,0.090084521 +-6.901155,0.87611399,1.0750124,1,3,0,8.8763532,0.32302249 +-6.750974,0.99834243,1.0750124,1,3,0,6.9064322,0.24047791 +-6.8345891,0.98348646,1.0750124,2,3,0,6.8700868,0.20054124 +-6.8488961,0.99677749,1.0750124,1,1,0,6.8660752,0.19684201 +-7.3426438,0.7195287,1.0750124,2,3,0,8.982269,0.13251076 +-7.4240533,0.98708638,1.0750124,1,1,0,7.5159454,0.12618089 +-7.5544985,0.951272,1.0750124,2,3,0,8.2666907,0.11713713 +-7.3490582,1,1.0750124,1,1,0,7.5836542,0.1319898 +-7.001381,1,1.0750124,2,3,0,7.2868155,0.16875749 +-6.8191233,0.96797533,1.0750124,1,3,0,7.2048232,0.29898633 +-6.7754026,0.97396499,1.0750124,2,3,0,6.9638017,0.2799826 +-6.787578,0.99650752,1.0750124,1,1,0,6.7930542,0.28620591 +-6.9974568,0.92607816,1.0750124,2,3,0,7.2099407,0.16932487 +-8.6658843,0.7820296,1.0750124,1,3,0,8.9300406,0.068956423 +-7.4061729,0.94562023,1.0750124,1,3,0,8.5225169,0.127521 +-6.7965576,1,1.0750124,2,3,0,7.2560354,0.29022322 +-6.7872095,1,1.0750124,2,3,0,6.8031045,0.28603225 +-6.7623338,1,1.0750124,2,3,0,6.7811004,0.27153486 +-6.7623338,0.7146417,1.0750124,1,3,0,8.1345294,0.27153486 +-6.8223562,0.98297173,1.0750124,1,1,0,6.8223598,0.30012699 +-7.0507853,0.8720874,1.0750124,2,3,0,7.5611507,0.16204194 +-6.9239241,1,1.0750124,2,3,0,7.0389854,0.18115983 +-6.7861292,0.94643743,1.0750124,2,3,0,7.3394301,0.28551864 +-6.8669838,0.96327602,1.0750124,1,3,0,6.9992562,0.19256843 +-7.0173256,0.96875662,1.0750124,1,1,0,7.0210582,0.16650672 +-6.8754897,1,1.0750124,2,3,0,6.9929669,0.19068743 +-6.8754897,0.89191922,1.0750124,1,3,0,7.4991606,0.19068743 +-6.8754897,0.95222208,1.0750124,1,3,0,7.1215192,0.19068743 +-7.0097772,0.99072124,1.0750124,2,3,0,7.0159107,0.1675616 +-6.8355935,0.98615688,1.0750124,2,3,0,7.1636593,0.20027079 +-7.7566604,0.89349965,1.0750124,2,3,0,7.9925768,0.44799054 +-7.1691002,1,1.0750124,2,3,0,7.6260937,0.3744646 +-6.7482159,1,1.0750124,1,3,0,7.1189184,0.24754239 +-6.7480247,1,1.0750124,1,3,0,6.7481873,0.24969705 +-7.0144951,0.93540961,1.0750124,1,3,0,7.054451,0.34769865 +-6.7491936,0.9899661,1.0750124,2,3,0,7.0796804,0.24398133 +-7.1233626,0.93950474,1.0750124,2,3,0,7.1895711,0.15334391 +-6.8553301,0.9520569,1.0750124,1,3,0,7.4346889,0.31065279 +-6.8994539,0.98657658,1.0750124,1,1,0,6.9234304,0.32259688 +-6.7538389,0.98032319,1.0750124,2,3,0,7.0161238,0.26364163 +-6.867079,0.90055569,1.0750124,2,3,0,7.3345757,0.19254696 +-6.9534012,0.98169607,1.0750124,1,1,0,6.9639827,0.17611041 +-6.9534012,0.36621091,1.0750124,1,3,0,13.039489,0.17611041 +-6.7600078,0.94076047,1.0750124,2,3,0,7.5122711,0.26967814 +-6.8039798,0.92781936,1.0750124,2,3,0,7.1420677,0.2098154 +-6.7514048,0.93388979,1.0750124,2,3,0,7.3100192,0.2398132 +-6.7719591,0.99346996,1.0750124,1,3,0,6.7871941,0.27799127 +-6.7842435,0.99649031,1.0750124,1,1,0,6.7887625,0.2846052 +-7.3482483,0.71734321,1.0750124,2,3,0,8.3745291,0.40025921 +-6.9145005,1,1.0750124,1,1,0,7.2195902,0.32628869 +-6.8782729,0.94954486,1.0750124,1,3,0,7.2040468,0.19008771 +-6.7505797,0.99484344,1.0750124,1,3,0,6.8977354,0.25901087 +-6.832708,0.98092564,1.0750124,1,3,0,6.837764,0.30363143 +-6.8743489,0.90362213,1.0750124,2,3,0,7.3179559,0.3160364 +-7.5774423,0.71118379,1.0750124,1,3,0,8.4001948,0.11566521 +-6.852463,0.99405799,1.0750124,1,3,0,7.4893089,0.19596669 +-6.9856278,0.97183015,1.0750124,1,1,0,6.9890992,0.17106935 +-6.9854795,0.9746995,1.0750124,2,3,0,7.3313766,0.17109156 +-7.1190875,0.79002367,1.0750124,2,3,0,8.8895101,0.15382424 +-7.0342075,1,1.0750124,1,1,0,7.1431511,0.16421281 +-7.0434625,0.99940251,1.0750124,2,3,0,7.1032339,0.16299133 +-6.9932162,1,1.0750124,1,1,0,7.0744215,0.16994426 +-6.7558708,0.99729141,1.0750124,2,3,0,7.0086359,0.23456079 # -# Elapsed Time: 0.010912 seconds (Warm-up) -# 0.023346 seconds (Sampling) -# 0.034258 seconds (Total) +# Elapsed Time: 0.001 seconds (Warm-up) +# 0 seconds (Sampling) +# 0.001 seconds (Total) # diff --git a/test/data/runset-bad/bad-hdr-bern-2_config.json b/test/data/runset-bad/bad-hdr-bern-2_config.json new file mode 100644 index 00000000..957b5939 --- /dev/null +++ b/test/data/runset-bad/bad-hdr-bern-2_config.json @@ -0,0 +1,66 @@ + +{ + "stan_major_version" : "2", + "stan_minor_version" : "37", + "stan_patch_version" : "0", + "model_name" : "bernoulli_model", + "start_datetime" : "2026-07-20 16:58:36 UTC", + "method" : { + "value" : "sample", + "sample" : { + "num_samples" : 100, + "num_warmup" : 1000, + "save_warmup" : false, + "thin" : 1, + "adapt" : { + "engaged" : true, + "gamma" : 0.05, + "delta" : 0.8, + "kappa" : 0.75, + "t0" : 10, + "init_buffer" : 75, + "term_buffer" : 50, + "window" : 25, + "save_metric" : true + }, + "algorithm" : { + "value" : "hmc", + "hmc" : { + "engine" : { + "value" : "nuts", + "nuts" : { + "max_depth" : 10 + } + }, + "metric" : { + "value" : "diag_e" + }, + "metric_file" : "", + "stepsize" : 1, + "stepsize_jitter" : 0 + } + }, + "num_chains" : 1 + } + }, + "id" : 2, + "data" : { + "file" : "test\/data\/bernoulli.data.json" + }, + "init" : "2", + "random" : { + "seed" : 12345 + }, + "output" : { + "file" : "\/tmp\/tmpuisjazeu\/bernoullik799pfr2\/bernoulli-20260720125836_2.csv", + "diagnostic_file" : "", + "refresh" : 100, + "sig_figs" : 8, + "profile_file" : "profile.csv", + "save_cmdstan_config" : true + }, + "num_threads" : 1, + "mpi_enabled" : false, + "stanc_version" : "stanc3 v2.37.0", + "stancflags" : "--filename-in-msg=bernoulli.stan" +} diff --git a/test/data/runset-bad/bad-hdr-bern-3.csv b/test/data/runset-bad/bad-hdr-bern-3.csv index 5fe0f279..28880646 100644 --- a/test/data/runset-bad/bad-hdr-bern-3.csv +++ b/test/data/runset-bad/bad-hdr-bern-3.csv @@ -1,22 +1,24 @@ # stan_version_major = 2 -# stan_version_minor = 19 -# stan_version_patch = 1 +# stan_version_minor = 37 +# stan_version_patch = 0 # model = bernoulli_model +# start_datetime = 2026-07-20 16:58:36 UTC # method = sample (Default) # sample -# num_samples = 1000 (Default) +# num_samples = 100 # num_warmup = 1000 (Default) -# save_warmup = 0 (Default) +# save_warmup = false (Default) # thin = 1 (Default) # adapt -# engaged = 1 (Default) -# gamma = 0.050000000000000003 (Default) -# delta = 0.80000000000000004 (Default) +# engaged = true (Default) +# gamma = 0.05 (Default) +# delta = 0.8 (Default) # kappa = 0.75 (Default) # t0 = 10 (Default) # init_buffer = 75 (Default) # term_buffer = 50 (Default) # window = 25 (Default) +# save_metric = true # algorithm = hmc (Default) # hmc # engine = nuts (Default) @@ -26,1023 +28,130 @@ # metric_file = (Default) # stepsize = 1 (Default) # stepsize_jitter = 0 (Default) +# num_chains = 1 (Default) # id = 3 # data -# file = /Users/mitzi/github/stan-dev/cmdstanpy/test/files-data/bernoulli.data.R +# file = test/data/bernoulli.data.json # init = 2 (Default) # random -# seed = 73255 +# seed = 12345 # output -# file = /Users/mitzi/github/stan-dev/cmdstanpy/test/files-tmp/bernoulli.output-3.csv +# file = /tmp/tmpuisjazeu/bernoullik799pfr2/bernoulli-20260720125836_3.csv # diagnostic_file = (Default) # refresh = 100 (Default) +# sig_figs = 8 (Default) +# profile_file = profile.csv (Default) +# save_cmdstan_config = true +# num_threads = 1 (Default) +# stanc_version = stanc3 v2.37.0 +# stancflags = --filename-in-msg=bernoulli.stan lp__,accept_stat__,stepsize__,treedepth__,n_leapfrog__,divergent__,energy__,theta # Adaptation terminated -# Step size = 1.04222 +# Step size = 1.03379 # Diagonal elements of inverse mass matrix: -# 0.431998 --6.89699,0.962315,1.04222,1,3,0,6.93209,0.321977 --7.38538,0.798537,1.04222,1,3,0,8.10844,0.129114 --7.73276,0.949912,1.04222,1,1,0,7.76949,0.106475 --7.41074,1,1.04222,1,1,0,7.72945,0.127176 --6.7536,0.967861,1.04222,1,3,0,7.5416,0.263357 --6.99984,0.960965,1.04222,2,3,0,7.01982,0.16898 --6.87083,1,1.04222,1,1,0,6.97861,0.191709 --6.80213,0.980568,1.04222,2,3,0,7.00862,0.292541 --7.16018,0.797992,1.04222,2,3,0,7.86732,0.14935 --7.1456,1,1.04222,1,1,0,7.23594,0.150902 --6.81869,0.9957,1.04222,1,3,0,7.0842,0.205081 --6.88444,0.985394,1.04222,1,1,0,6.88955,0.188785 --6.83213,0.986213,1.04222,2,3,0,7.03699,0.20121 --6.90722,0.965911,1.04222,1,3,0,7.10965,0.324523 --6.90722,0.773363,1.04222,1,3,0,7.85622,0.324523 --6.80688,0.925383,1.04222,2,3,0,7.28456,0.294427 --6.91396,0.936928,1.04222,2,3,0,7.17656,0.18298 --6.82734,1,1.04222,2,3,0,6.89906,0.202547 --6.77126,1,1.04222,1,1,0,6.81402,0.223717 --6.85724,0.985405,1.04222,1,3,0,6.85764,0.194821 --6.8784,0.971887,1.04222,1,3,0,7.10681,0.317132 --6.74878,0.99775,1.04222,2,3,0,6.8949,0.245158 --6.75075,0.999488,1.04222,1,1,0,6.75076,0.240842 --6.7809,0.993709,1.04222,1,3,0,6.78232,0.218894 --7.3558,0.888809,1.04222,1,3,0,7.44073,0.131446 --7.38337,0.995611,1.04222,1,1,0,7.49296,0.12927 --6.99076,1,1.04222,1,1,0,7.31115,0.170305 --7.04572,0.98931,1.04222,1,1,0,7.08458,0.162697 --6.92353,1,1.04222,1,1,0,7.03531,0.181231 --6.86776,1,1.04222,1,1,0,6.92695,0.192395 --6.81684,0.97743,1.04222,2,3,0,7.0732,0.298167 --6.75849,1,1.04222,1,3,0,6.80051,0.268371 --6.76645,0.994456,1.04222,2,3,0,6.79563,0.226528 --6.81395,0.983082,1.04222,1,3,0,6.87244,0.29711 --6.89073,0.977276,1.04222,1,1,0,6.89919,0.320379 --6.81452,0.924323,1.04222,2,3,0,7.27272,0.29732 --7.21484,0.745112,1.04222,2,3,0,8.20053,0.381467 --7.21121,1,1.04222,1,1,0,7.35781,0.380924 --7.21121,0.549877,1.04222,1,1,0,8.37587,0.380924 --6.7481,1,1.04222,1,3,0,7.14328,0.251595 --7.10553,0.909769,1.04222,1,3,0,7.2262,0.155372 --7.88424,0.894661,1.04222,1,3,0,7.89356,0.0986033 --7.37637,1,1.04222,1,1,0,7.82466,0.129816 --6.77142,1,1.04222,2,3,0,7.2403,0.277668 --7.15521,0.939238,1.04222,2,3,0,7.16755,0.149875 --8.03563,0.933542,1.04222,2,3,0,8.04061,0.475286 --7.68301,1,1.04222,1,1,0,8.17128,0.440184 --6.91225,1,1.04222,1,1,0,7.43486,0.325746 --7.41201,0.938425,1.04222,2,3,0,7.42043,0.408548 --7.89245,0.847171,1.04222,1,1,0,8.04597,0.461688 --6.82163,0.970532,1.04222,1,3,0,8.05931,0.204201 --7.04287,0.96509,1.04222,1,3,0,7.04386,0.163069 --11.7547,0.507401,1.04222,2,3,0,13.5726,0.694054 --7.75665,1,1.04222,1,1,0,10.4348,0.447989 --6.88647,1,1.04222,2,3,0,7.47526,0.319274 --6.75271,0.996968,1.04222,1,3,0,6.90072,0.238029 --6.89616,0.961893,1.04222,1,3,0,6.94578,0.321766 --6.85661,1,1.04222,1,1,0,6.90888,0.311029 --6.86397,0.997779,1.04222,1,1,0,6.89402,0.313149 --6.78858,0.954271,1.04222,2,3,0,7.10659,0.286672 --6.91001,0.964722,1.04222,1,1,0,6.91097,0.325202 --6.81258,1,1.04222,2,3,0,6.88728,0.296599 --8.33999,0.574325,1.04222,1,3,0,9.64099,0.0795555 --6.75368,1,1.04222,2,3,0,8.06626,0.23686 --6.82267,0.980168,1.04222,1,3,0,6.8581,0.300236 --7.06873,0.927377,1.04222,1,1,0,7.07064,0.357745 --6.91463,0.928471,1.04222,1,3,0,7.47149,0.182855 --7.20644,0.909827,1.04222,1,3,0,7.64543,0.380206 --7.05696,0.855483,1.04222,1,3,0,7.9401,0.161253 --6.96346,1,1.04222,1,1,0,7.06414,0.174488 --6.94104,1,1.04222,1,1,0,6.99623,0.178172 --7.29402,0.934377,1.04222,1,1,0,7.29404,0.136597 --7.05823,1,1.04222,1,1,0,7.26832,0.161091 --6.7555,1,1.04222,1,3,0,7.03468,0.234928 --6.74996,0.94419,1.04222,2,3,0,7.09195,0.242269 --6.75086,0.952784,1.04222,2,3,0,7.02659,0.240661 --6.75086,0.493173,1.04222,1,3,0,9.30682,0.240661 --6.90533,0.973905,1.04222,2,3,0,6.95349,0.324057 --7.11598,0.935529,1.04222,1,1,0,7.13717,0.365876 --8.27579,0.85241,1.04222,2,3,0,8.30242,0.496477 --6.90291,1,1.04222,2,3,0,8.31319,0.185076 --7.52991,0.912411,1.04222,1,3,0,7.55468,0.118751 --6.99841,0.982884,1.04222,1,3,0,7.43545,0.169187 --7.49045,0.870871,1.04222,1,3,0,8.15165,0.418249 --7.02538,1,1.04222,1,1,0,7.37274,0.349784 --7.46912,0.863734,1.04222,1,1,0,7.5064,0.415661 --7.22062,1,1.04222,1,1,0,7.49954,0.382329 --7.22062,0.891493,1.04222,1,1,0,7.55,0.382329 --7.16424,1,1.04222,1,1,0,7.32216,0.3737 --6.85326,1,1.04222,1,1,0,7.07153,0.31004 --8.14587,0.775092,1.04222,2,3,0,8.14664,0.0869533 --6.84529,0.949427,1.04222,1,3,0,8.86846,0.307631 --6.74975,1,1.04222,1,3,0,6.82695,0.257391 --6.99739,0.794912,1.04222,2,3,0,8.03745,0.169335 --8.28061,0.83963,1.04222,1,3,0,8.41494,0.0817212 --8.98583,0.935377,1.04222,1,1,0,9.03138,0.0602798 --6.76494,0.869607,1.04222,2,7,0,9.85659,0.273448 --6.96374,0.956189,1.04222,1,3,0,6.96711,0.337406 --6.75355,0.996714,1.04222,1,3,0,6.97675,0.237014 --6.75181,0.985964,1.04222,2,3,0,6.83766,0.260985 --7.2173,0.874956,1.04222,1,3,0,7.42856,0.143603 --8.03737,0.890091,1.04222,1,3,0,8.04165,0.0915226 --7.77404,1,1.04222,2,3,0,8.10171,0.104234 --6.76995,1,1.04222,2,3,0,7.67427,0.224449 --6.75033,0.99849,1.04222,1,3,0,6.77842,0.258561 --7.04471,0.912494,1.04222,2,3,0,7.29707,0.353399 --8.09275,0.610398,1.04222,1,3,0,9.80348,0.0891478 --6.78826,0.992626,1.04222,1,3,0,8.1483,0.215705 --6.84591,0.986691,1.04222,1,1,0,6.84737,0.197588 --6.82131,0.984247,1.04222,1,3,0,7.00297,0.29976 --7.05138,0.932064,1.04222,1,1,0,7.05353,0.354621 --6.86061,1,1.04222,1,1,0,7.00351,0.31219 --7.87701,0.789392,1.04222,1,3,0,7.8786,0.460173 --7.50755,0.626916,1.04222,1,3,0,9.79473,0.120254 --9.01919,0.82934,1.04222,1,3,0,9.07789,0.0594569 --8.24201,1,1.04222,1,1,0,8.97768,0.0831736 --7.14512,0.965231,1.04222,1,3,0,8.11024,0.150953 --6.85479,0.993899,1.04222,1,3,0,7.08577,0.195405 --7.03481,0.962707,1.04222,1,1,0,7.03572,0.164133 --7.12436,0.923703,1.04222,1,3,0,7.72962,0.367267 --6.75931,0.998963,1.04222,2,3,0,7.15635,0.231539 --6.99552,0.938052,1.04222,1,3,0,7.08477,0.343966 --6.91612,0.929409,1.04222,1,3,0,7.38516,0.182581 --6.87795,1,1.04222,1,1,0,6.9288,0.190158 --6.81958,0.987476,1.04222,2,3,0,7.01257,0.204811 --7.06055,0.780246,1.04222,2,3,0,8.42086,0.160798 --6.75064,1,1.04222,2,3,0,7.01117,0.259125 --6.79636,0.993327,1.04222,2,3,0,6.80011,0.212541 --6.75708,0.979067,1.04222,2,3,0,6.95626,0.267075 --7.11872,0.74176,1.04222,2,3,0,8.37795,0.153865 --7.55366,0.865701,1.04222,1,3,0,8.43707,0.425719 --6.8867,1,1.04222,1,1,0,7.34065,0.319332 --6.94243,0.994308,1.04222,2,3,0,6.97391,0.332755 --6.94243,0.707673,1.04222,1,1,0,7.64663,0.332755 --7.06113,0.873103,1.04222,1,3,0,7.59185,0.160725 --10.2706,0.557091,1.04222,1,3,0,11.3812,0.0364372 --9.09584,1,1.04222,1,1,0,10.2091,0.0576185 --6.75513,0.854359,1.04222,1,3,0,9.95311,0.265096 --6.84112,0.919944,1.04222,2,3,0,7.21974,0.198812 --7.4261,0.90635,1.04222,1,3,0,7.46611,0.126029 --6.95182,0.986301,1.04222,1,3,0,7.33888,0.17637 --7.19739,0.953654,1.04222,1,1,0,7.20193,0.145549 --6.93741,1,1.04222,2,3,0,7.14924,0.178792 --6.82571,1,1.04222,1,1,0,6.91487,0.203014 --6.8035,1,1.04222,1,1,0,6.82917,0.20998 --6.75304,0.996252,1.04222,1,3,0,6.82353,0.262656 --6.74908,1,1.04222,2,3,0,6.75205,0.244267 --6.98078,0.944928,1.04222,1,3,0,7.03393,0.1718 --7.21609,0.956365,1.04222,1,1,0,7.22423,0.14372 --7.51305,0.952786,1.04222,1,1,0,7.53949,0.119881 --9.63179,0.792342,1.04222,1,3,0,9.85102,0.0465301 --6.74966,1,1.04222,2,3,0,9.01199,0.257195 --6.75261,0.998462,1.04222,2,3,0,6.75968,0.262096 --6.85345,0.97705,1.04222,1,3,0,6.85813,0.310098 --6.74881,1,1.04222,1,3,0,6.83633,0.254974 --6.78473,0.990758,1.04222,2,3,0,6.80906,0.284845 --6.87588,0.973596,1.04222,1,1,0,6.87731,0.316453 --6.75341,0.996547,1.04222,1,3,0,6.89303,0.237181 --7.22662,0.886784,1.04222,1,3,0,7.33384,0.383219 --6.8554,0.768538,1.04222,2,3,0,8.37252,0.310675 --6.77329,1,1.04222,1,1,0,6.83193,0.278775 --6.81694,0.939226,1.04222,2,3,0,7.0952,0.205613 --7.08568,0.977424,1.04222,2,3,0,7.09675,0.360721 --7.35267,0.91542,1.04222,1,1,0,7.42164,0.400847 --7.06102,1,1.04222,1,1,0,7.31551,0.356367 --6.87725,1,1.04222,1,1,0,7.0195,0.316823 --7.01194,0.958966,1.04222,1,1,0,7.03183,0.347204 --6.7855,1,1.04222,1,3,0,6.9447,0.285217 --7.07051,0.901351,1.04222,1,3,0,7.32444,0.159555 --7.31348,0.957515,1.04222,1,1,0,7.3308,0.134932 --7.48449,0.869668,1.04222,1,3,0,8.66697,0.417529 --7.91327,0.861969,1.04222,1,1,0,8.09606,0.463716 --6.75322,1,1.04222,1,3,0,7.65885,0.262886 --6.75491,0.985091,1.04222,2,3,0,6.83577,0.235525 --7.74732,0.784914,1.04222,1,3,0,7.92639,0.447016 --6.89693,1,1.04222,2,3,0,7.472,0.321961 --6.88399,1,1.04222,1,1,0,6.93033,0.318622 --7.24695,0.891242,1.04222,1,1,0,7.25495,0.386196 --9.18936,0.510936,1.04222,1,1,0,9.21778,0.564016 --6.78674,1,1.04222,1,3,0,9.02654,0.216338 --6.79803,0.997326,1.04222,1,1,0,6.80502,0.211923 --6.79803,0.890666,1.04222,1,3,0,7.36304,0.211923 --8.26362,0.707792,1.04222,1,3,0,8.6525,0.495447 --8.29657,0.996158,1.04222,2,3,0,8.80057,0.498227 --7.53168,1,1.04222,1,1,0,8.19712,0.423155 --7.08683,1,1.04222,1,1,0,7.43769,0.36092 --8.30966,0.660467,1.04222,1,1,0,8.32859,0.499324 --6.94084,0.917216,1.04222,1,3,0,8.80791,0.178205 --6.82972,1,1.04222,1,1,0,6.91899,0.201878 --6.77403,0.989389,1.04222,1,3,0,6.90008,0.279202 --6.75229,1,1.04222,1,3,0,6.76808,0.261673 --7.10612,0.943219,1.04222,2,3,0,7.13585,0.155303 --7.27357,0.970753,1.04222,1,1,0,7.30776,0.138394 --7.7851,0.738177,1.04222,2,3,0,10.1448,0.103646 --8.69429,0.900626,1.04222,1,1,0,8.69735,0.0681236 --8.04167,1,1.04222,1,1,0,8.6655,0.0913353 --7.95564,1,1.04222,2,3,0,8.20274,0.0952026 --7.57111,1,1.04222,2,3,0,7.9529,0.116068 --7.8045,0.968377,1.04222,1,1,0,7.88612,0.102628 --7.14877,0.973002,1.04222,1,3,0,7.69827,0.150561 --6.99304,1,1.04222,1,1,0,7.13867,0.16997 --7.39918,0.927961,1.04222,1,1,0,7.3993,0.128053 --6.75212,0.970239,1.04222,1,3,0,7.51753,0.261423 --6.86267,0.974636,1.04222,1,3,0,6.86861,0.312778 --7.03855,0.946848,1.04222,1,1,0,7.05141,0.35226 --6.81631,0.966893,1.04222,1,3,0,7.22176,0.205805 --6.97719,0.973968,1.04222,1,3,0,6.97719,0.172346 --7.06483,0.982997,1.04222,1,1,0,7.094,0.160261 --6.8254,0.99586,1.04222,1,3,0,7.01454,0.203101 --6.76696,0.977572,1.04222,2,3,0,7.00724,0.274834 --6.7484,0.998908,1.04222,2,3,0,6.77368,0.253449 --6.835,0.979023,1.04222,1,3,0,6.8458,0.304379 --6.93906,0.968843,1.04222,1,1,0,6.95047,0.331999 --6.7885,1,1.04222,2,3,0,6.89474,0.286636 --8.48574,0.521462,1.04222,1,3,0,9.8055,0.0745627 --7.0232,0.978247,1.04222,1,3,0,8.40689,0.165699 --6.88882,0.968355,1.04222,1,3,0,7.36055,0.319884 --6.88882,0.489886,1.04222,1,3,0,9.78311,0.319884 --7.63788,0.785311,1.04222,1,1,0,7.6387,0.435253 --7.34361,1,1.04222,1,1,0,7.68716,0.399641 --6.77972,1,1.04222,2,3,0,7.37318,0.21944 --6.77972,0.623955,1.04222,1,3,0,8.95142,0.21944 --6.86255,0.97154,1.04222,1,3,0,6.96165,0.312746 --7.62823,0.871051,1.04222,2,3,0,7.62845,0.112518 --6.79146,0.932326,1.04222,1,3,0,7.97327,0.287989 --7.08604,0.814064,1.04222,2,3,0,7.89079,0.157666 --6.85835,1,1.04222,1,1,0,7.03846,0.194558 --6.98149,0.9511,1.04222,1,3,0,7.2541,0.34112 --7.57659,0.741762,1.04222,1,3,0,8.63626,0.115719 --7.37846,1,1.04222,1,1,0,7.61224,0.129652 --6.96211,0.986974,1.04222,1,3,0,7.30031,0.174703 --7.70057,0.828832,1.04222,1,3,0,8.3474,0.442071 --8.08739,0.873545,1.04222,1,1,0,8.34828,0.480013 --7.13942,1,1.04222,1,1,0,7.80523,0.369731 --7.32495,0.940194,1.04222,1,1,0,7.41977,0.397129 --6.7542,1,1.04222,1,3,0,7.30215,0.236281 --6.85089,0.973009,1.04222,1,3,0,6.89475,0.309334 --6.75904,1,1.04222,1,3,0,6.82579,0.268856 --6.75739,0.997552,1.04222,1,3,0,6.7791,0.233153 --6.74844,0.962153,1.04222,2,3,0,6.98316,0.25361 --6.74909,0.999826,1.04222,1,1,0,6.74911,0.255803 --6.80432,0.932794,1.04222,2,3,0,7.14677,0.209699 --6.76179,0.981438,1.04222,2,3,0,6.95403,0.271115 --6.8403,0.905401,1.04222,2,3,0,7.26499,0.199027 --6.78327,0.990017,1.04222,2,3,0,6.93089,0.284124 --6.75396,0.99735,1.04222,1,3,0,6.80083,0.236547 --6.83961,0.982441,1.04222,2,3,0,6.88329,0.199207 --6.90371,0.986042,1.04222,1,1,0,6.91256,0.184921 --7.37138,0.931476,1.04222,1,3,0,7.37795,0.130207 --7.38803,0.99736,1.04222,1,1,0,7.50366,0.128908 --7.60567,0.967699,1.04222,1,1,0,7.66823,0.113897 --7.52359,0.861611,1.04222,1,3,0,9.19641,0.422201 --7.44323,1,1.04222,1,1,0,7.7069,0.41247 --6.82342,0.95953,1.04222,1,3,0,7.64724,0.203676 --6.75374,0.90331,1.04222,2,3,0,7.49537,0.23679 --6.75281,0.98912,1.04222,2,3,0,6.82017,0.262369 --6.79247,0.991539,1.04222,1,3,0,6.79301,0.288442 --6.83202,0.988491,1.04222,1,1,0,6.83859,0.303403 --6.83202,0.236674,1.04222,2,7,0,11.3606,0.303403 --6.83202,0.851386,1.04222,1,3,0,7.52622,0.303403 --7.56836,0.598672,1.04222,2,3,0,9.48551,0.116244 --8.95935,0.838128,1.04222,1,3,0,8.99167,0.0609432 --8.38103,1,1.04222,1,1,0,8.98122,0.0781045 --7.74215,1,1.04222,1,1,0,8.32757,0.105959 --7.80914,0.991235,1.04222,1,1,0,7.96084,0.102387 --6.9708,0.981159,1.04222,1,3,0,7.69542,0.173333 --6.81679,1,1.04222,1,1,0,6.9369,0.205658 --6.83077,0.996814,1.04222,1,1,0,6.84394,0.201587 --6.95041,0.955148,1.04222,1,3,0,7.1668,0.334523 --7.69632,0.676394,1.04222,2,7,0,8.80454,0.108519 --7.25415,1,1.04222,1,1,0,7.63924,0.140145 --6.86169,0.992433,1.04222,1,3,0,7.1802,0.193778 --6.77971,0.872246,1.04222,2,3,0,8.02782,0.219448 --6.83849,0.986271,1.04222,1,1,0,6.83899,0.199501 --6.77261,1,1.04222,1,1,0,6.82284,0.222985 --6.75935,0.974114,1.04222,2,3,0,6.93835,0.269124 --7.03102,0.918733,1.04222,1,3,0,7.18872,0.164639 --6.89659,1,1.04222,1,1,0,7.01212,0.186315 --7.06394,0.988808,1.04222,2,3,0,7.06932,0.160372 --6.99197,1,1.04222,1,1,0,7.08509,0.170127 --7.07717,0.98362,1.04222,1,1,0,7.10944,0.158738 --6.75679,0.913249,1.04222,2,3,0,8.01556,0.266789 --6.79941,0.929305,1.04222,2,3,0,7.13523,0.211425 --7.94111,0.758642,1.04222,1,3,0,8.29034,0.4664 --6.74905,0.826624,1.04222,2,3,0,8.90522,0.255698 --7.31239,0.720293,1.04222,2,3,0,8.41344,0.135024 --6.74807,1,1.04222,2,3,0,7.23004,0.251232 --6.97774,0.941569,1.04222,1,3,0,7.04908,0.172263 --7.32789,0.93656,1.04222,1,1,0,7.32876,0.133725 --7.44976,0.980874,1.04222,1,1,0,7.52743,0.1243 --9.31267,0.806533,1.04222,1,3,0,9.46632,0.0527845 --7.67338,0.923702,1.04222,1,3,0,9.18115,0.10984 --6.77024,0.974495,1.04222,2,3,0,7.96037,0.276943 --7.5398,0.832932,1.04222,1,3,0,7.5683,0.424106 --7.017,0.875157,1.04222,1,3,0,8.23552,0.166553 --6.75067,1,1.04222,1,3,0,7.00478,0.240984 --7.03926,0.928452,1.04222,1,3,0,7.1061,0.352391 --6.79869,1,1.04222,1,1,0,6.96677,0.291125 --7.79586,0.790218,1.04222,1,3,0,7.8135,0.452033 --8.46986,0.789363,1.04222,1,1,0,8.73279,0.512366 --7.81625,1,1.04222,1,1,0,8.51229,0.454107 --7.35637,1,1.04222,1,1,0,7.7954,0.401337 --7.5747,0.928163,1.04222,1,1,0,7.73768,0.428145 --7.5747,0.608821,1.04222,1,1,0,8.63053,0.428145 --8.84905,0.640396,1.04222,1,1,0,8.99155,0.540836 --7.37949,1,1.04222,1,1,0,8.41461,0.404369 --7.14555,1,1.04222,1,1,0,7.39281,0.370723 --6.77347,0.985092,1.04222,1,3,0,7.21612,0.222529 --7.29666,0.872981,1.04222,1,3,0,7.4793,0.393248 --7.20862,1,1.04222,1,1,0,7.39758,0.380534 --6.7492,0.95111,1.04222,2,3,0,7.50124,0.256111 --6.85344,0.975226,1.04222,1,3,0,6.86355,0.310094 --7.36349,0.851282,1.04222,1,1,0,7.36416,0.402277 --7.36349,0.656971,1.04222,1,1,0,8.23969,0.402277 --6.77662,0.837959,1.04222,2,3,0,8.17671,0.280657 --6.87106,0.941427,1.04222,2,3,0,7.09723,0.315135 --6.90867,0.996184,1.04222,2,3,0,6.93804,0.324877 --6.93029,0.928261,1.04222,1,3,0,7.29832,0.180029 --7.10455,0.954583,1.04222,2,3,0,7.40897,0.155486 --7.31261,0.964025,1.04222,1,1,0,7.3394,0.135005 --7.09676,1,1.04222,1,1,0,7.29898,0.156394 --6.93487,0.979678,1.04222,2,3,0,7.36755,0.179229 --6.99688,0.947816,1.04222,1,3,0,7.3957,0.344237 --6.96382,1,1.04222,1,1,0,7.04526,0.337422 --6.94267,1,1.04222,1,1,0,7.01133,0.332808 --6.80535,1,1.04222,2,3,0,6.90431,0.29383 --7.15957,0.946224,1.04222,2,3,0,7.16137,0.149414 --6.80582,0.919227,1.04222,2,3,0,7.86892,0.294012 --7.20432,0.859481,1.04222,1,3,0,7.59236,0.144866 --7.42914,0.963395,1.04222,1,1,0,7.46622,0.125805 --6.94444,0.915337,1.04222,1,3,0,8.03267,0.333204 --7.3152,0.887068,1.04222,1,1,0,7.33601,0.395801 --7.64462,0.89363,1.04222,1,1,0,7.78126,0.435997 --7.64462,0.605925,1.04222,1,1,0,8.72732,0.435997 --7.64462,0.354495,1.04222,1,1,0,9.66636,0.435997 --8.22451,0.816545,1.04222,1,1,0,8.44588,0.492105 --7.25691,1,1.04222,1,1,0,7.96153,0.387634 --6.91871,1,1.04222,1,1,0,7.16503,0.327293 --6.80436,1,1.04222,1,1,0,6.88825,0.293435 --6.81931,0.952337,1.04222,2,3,0,7.05637,0.299053 --6.75266,0.997252,1.04222,1,3,0,6.8349,0.238096 --6.82574,0.979404,1.04222,1,3,0,6.85934,0.301296 --6.95057,0.931888,1.04222,2,3,0,7.23062,0.176576 --6.83815,1,1.04222,2,3,0,6.9295,0.19959 --6.75127,0.904726,1.04222,2,3,0,7.50826,0.240015 --7.38861,0.901573,1.04222,2,3,0,7.47497,0.128864 --6.8056,1,1.04222,2,3,0,7.24233,0.293928 --6.76457,1,1.04222,1,1,0,6.79443,0.273183 --6.88472,0.974369,1.04222,1,3,0,6.88542,0.318814 --7.19632,0.906124,1.04222,1,1,0,7.2066,0.378671 --6.80441,0.969005,1.04222,1,3,0,7.35401,0.209667 --6.75969,0.978938,1.04222,2,3,0,6.97089,0.269408 --6.85117,0.980415,1.04222,1,3,0,6.85198,0.309419 --6.77139,1,1.04222,1,1,0,6.82833,0.277647 --6.77139,0.724327,1.04222,1,3,0,8.09073,0.277647 --8.57024,0.521413,1.04222,1,3,0,9.8613,0.0718607 --7.97367,1,1.04222,2,3,0,8.54967,0.0943719 --6.86679,0.996272,1.04222,1,3,0,7.91078,0.192611 --6.77468,0.9991,1.04222,1,3,0,6.8454,0.221905 --7.06814,0.943654,1.04222,1,3,0,7.09241,0.159849 --7.06814,0.875002,1.04222,1,3,0,7.91675,0.159849 --6.77335,0.999786,1.04222,1,3,0,7.02492,0.222595 --6.77041,0.918649,1.04222,2,3,0,7.37678,0.22419 --6.75906,0.935665,1.04222,2,3,0,7.23076,0.231741 --7.45961,0.849621,1.04222,1,3,0,7.6339,0.123593 --7.0272,1,1.04222,1,1,0,7.38239,0.165154 --7.23397,0.962526,1.04222,1,1,0,7.25081,0.142017 --8.47136,0.851007,1.04222,1,3,0,8.52319,0.0750361 --7.18641,0.960784,1.04222,1,3,0,8.34252,0.146648 --6.76981,1,1.04222,1,3,0,7.145,0.224531 --7.19888,0.913802,1.04222,1,3,0,7.25882,0.145402 --6.78008,0.964925,1.04222,1,3,0,7.37553,0.282506 --7.7233,0.7303,1.04222,1,3,0,8.38341,0.107 --8.12395,0.951139,1.04222,1,1,0,8.18436,0.0878493 --7.30093,0.868856,1.04222,2,3,0,10.3303,0.136001 --7.30591,0.999726,1.04222,2,3,0,7.41402,0.135574 --6.7619,1,1.04222,2,3,0,7.19174,0.271199 --7.08787,0.902294,1.04222,1,3,0,7.28326,0.157447 --6.83834,0.958199,1.04222,2,3,0,7.50085,0.305453 --6.77401,0.989221,1.04222,1,3,0,6.9068,0.222248 --6.80545,0.992508,1.04222,1,1,0,6.807,0.209313 --6.77699,0.990538,1.04222,1,3,0,6.87417,0.280862 --7.03516,0.944011,1.04222,1,3,0,7.03705,0.351628 --7.51706,0.852482,1.04222,1,1,0,7.55459,0.421429 --6.79667,0.975741,1.04222,1,3,0,7.63628,0.212424 --6.74931,0.998148,1.04222,1,3,0,6.80449,0.256386 --8.6631,0.552934,1.04222,1,3,0,9.78745,0.0690388 --6.97395,0.988336,1.04222,1,3,0,8.64734,0.172844 --7.42696,0.93299,1.04222,1,3,0,7.42749,0.125965 --6.75834,0.997004,1.04222,1,3,0,7.42617,0.232334 --6.74932,0.942807,1.04222,2,3,0,7.10572,0.243656 --6.74805,0.999965,1.04222,1,3,0,6.74946,0.250911 --6.99851,0.936589,1.04222,1,3,0,7.0763,0.169171 --8.86238,0.752584,1.04222,1,3,0,9.2149,0.0634526 --8.45445,1,1.04222,1,1,0,8.94602,0.0755979 --8.77146,0.970965,1.04222,1,1,0,8.91808,0.065926 --8.80215,0.997359,1.04222,1,1,0,9.07581,0.0650777 --6.82197,0.975761,1.04222,1,3,0,9.01082,0.204101 --6.76216,0.992629,1.04222,1,3,0,6.86659,0.271398 --7.2859,0.88311,1.04222,1,3,0,7.30939,0.391747 --6.77674,0.984346,1.04222,1,3,0,7.35804,0.220871 --7.03341,0.951762,1.04222,1,3,0,7.04995,0.16432 --7.03341,0.927867,1.04222,1,1,0,7.37794,0.16432 --7.11365,0.925453,1.04222,1,3,0,7.71247,0.365486 --6.93853,1,1.04222,1,1,0,7.09126,0.33188 --7.57707,0.692362,1.04222,2,3,0,8.92681,0.115689 --9.99069,0.778201,1.04222,1,3,0,10.3027,0.0405117 --7.00294,0.944998,1.04222,2,7,0,9.2616,0.345441 --8.4972,0.518329,1.04222,1,3,0,10.5557,0.0741884 --7.04679,0.995683,1.04222,2,3,0,8.57031,0.162558 --7.59191,0.863075,1.04222,1,3,0,8.36324,0.430106 --7.07886,1,1.04222,1,1,0,7.46805,0.359531 --7.25955,0.942286,1.04222,1,1,0,7.33543,0.388014 --6.75605,0.999203,1.04222,1,3,0,7.25468,0.234388 --7.01667,0.958768,1.04222,2,3,0,7.09485,0.348118 --6.81397,1,1.04222,1,1,0,6.95702,0.297116 --7.50102,0.853352,1.04222,1,3,0,7.50474,0.419519 --7.89432,0.872597,1.04222,1,1,0,8.0864,0.461871 --7.89432,0.647828,1.04222,1,1,0,8.94172,0.461871 --7.10311,1,1.04222,1,1,0,7.6657,0.363711 --7.17191,0.9777,1.04222,1,1,0,7.27012,0.374904 --8.24747,0.69236,1.04222,1,1,0,8.28995,0.494072 --7.13398,1,1.04222,1,1,0,7.90033,0.368847 --7.37075,0.924181,1.04222,1,1,0,7.45807,0.403229 --6.94235,1,1.04222,1,1,0,7.24933,0.332738 --6.75288,0.977091,1.04222,2,3,0,7.07789,0.262457 --7.05573,0.915445,1.04222,1,3,0,7.19778,0.161409 --7.58042,0.923858,1.04222,1,3,0,7.58052,0.115477 --6.75956,0.992673,1.04222,1,3,0,7.59933,0.231339 --6.74873,0.999417,1.04222,1,3,0,6.76254,0.254714 --8.38011,0.678593,1.04222,1,3,0,8.53063,0.505142 --7.03152,0.874724,1.04222,1,3,0,9.13389,0.164572 --6.8195,0.996396,1.04222,1,3,0,6.9861,0.204835 --7.02221,0.936976,1.04222,1,3,0,7.24229,0.349182 --6.8202,1,1.04222,2,3,0,6.96346,0.29937 --6.96431,0.95725,1.04222,1,1,0,6.9696,0.337527 --7.32258,0.890205,1.04222,1,1,0,7.34911,0.396808 --7.06469,1,1.04222,2,3,0,7.30091,0.357024 --7.45527,0.87848,1.04222,1,1,0,7.50728,0.413961 --10.796,0.314205,1.04222,1,1,0,10.8217,0.652607 --10.796,0.717784,1.04222,1,1,0,12.7201,0.652607 --7.46628,1,1.04222,1,1,0,9.66964,0.415314 --8.05764,0.814513,1.04222,1,1,0,8.21869,0.477308 --7.07602,1,1.04222,1,1,0,7.75067,0.359034 --6.86169,1,1.04222,2,3,0,7.01952,0.3125 --8.0183,0.393395,1.04222,2,3,0,11.4339,0.0923622 --8.13366,0.986791,1.04222,1,1,0,8.30212,0.0874508 --7.09454,0.96965,1.04222,1,3,0,8.00555,0.156655 --7.21404,0.978687,1.04222,1,1,0,7.25619,0.143918 --6.74862,0.992011,1.04222,1,3,0,7.23201,0.245696 --7.00802,0.799067,1.04222,2,3,0,7.94458,0.16781 --6.74853,0.997664,1.04222,1,3,0,7.00695,0.246013 --6.79294,0.989494,1.04222,1,3,0,6.79978,0.21384 --7.34422,0.898194,1.04222,1,3,0,7.40921,0.132383 --7.11542,1,1.04222,1,1,0,7.32922,0.154239 --7.15676,0.992526,1.04222,1,1,0,7.22189,0.14971 --7.32196,0.971949,1.04222,1,1,0,7.36402,0.134219 --7.66376,0.949077,1.04222,1,1,0,7.69475,0.110402 --8.1652,0.925521,1.04222,2,3,0,8.95374,0.086174 --6.75829,0.961851,1.04222,1,3,0,8.33374,0.232377 --7.19292,0.925689,1.04222,2,3,0,7.36063,0.378153 --7.44617,0.918429,1.04222,1,1,0,7.55077,0.412836 --7.44617,0.247944,1.04222,1,1,0,10.1026,0.412836 --7.01805,1,1.04222,1,1,0,7.34142,0.348384 --8.01728,0.715768,1.04222,1,1,0,8.02996,0.473587 --6.97621,1,1.04222,2,3,0,7.67684,0.340029 --6.85836,1,1.04222,2,3,0,6.9562,0.311537 --7.02247,0.950456,1.04222,1,1,0,7.0351,0.349232 --7.02247,0.760827,1.04222,1,1,0,7.58723,0.349232 --6.81458,1,1.04222,2,3,0,6.96113,0.297342 --6.91959,0.945999,1.04222,1,3,0,7.13694,0.181943 --7.73067,0.888695,1.04222,1,3,0,7.7818,0.106591 --6.86271,0.902373,1.04222,2,7,0,8.30185,0.31279 --6.9669,0.968406,1.04222,1,1,0,6.98567,0.338076 --6.85101,1,1.04222,2,3,0,6.94585,0.309369 --6.82529,1,1.04222,1,1,0,6.86089,0.301144 --6.75181,1,1.04222,1,3,0,6.80814,0.26098 --6.76138,0.96435,1.04222,2,3,0,6.94518,0.229948 --6.76138,0.739488,1.04222,1,3,0,8.10141,0.229948 --6.79969,0.895698,1.04222,2,3,0,7.48985,0.211323 --7.12155,0.966614,1.04222,2,3,0,7.15301,0.366803 --7.43876,0.899569,1.04222,1,1,0,7.51414,0.411915 --6.86632,1,1.04222,1,1,0,7.25757,0.313814 --7.03202,0.794104,1.04222,2,3,0,7.92872,0.351039 --6.85383,0.836188,1.04222,2,3,0,7.83325,0.310211 --7.10463,0.9249,1.04222,1,1,0,7.11144,0.363969 --6.87262,1,1.04222,1,1,0,7.04366,0.315564 --6.7529,1,1.04222,1,3,0,6.84501,0.262485 --6.8161,0.980183,1.04222,1,3,0,6.85566,0.20587 --7.68521,0.846814,1.04222,1,3,0,7.81788,0.109156 --7.68521,0.758683,1.04222,1,3,0,10.7608,0.109156 --7.12187,1,1.04222,2,3,0,7.59129,0.153511 --6.80645,0.99664,1.04222,1,3,0,7.06408,0.208976 --6.75052,1,1.04222,1,3,0,6.79745,0.241242 --6.74982,0.98023,1.04222,2,3,0,6.87318,0.242561 --6.79793,0.992613,1.04222,2,3,0,6.80739,0.290804 --6.75031,1,1.04222,1,3,0,6.78725,0.25851 --6.89504,0.959571,1.04222,1,3,0,6.95638,0.186623 --6.79048,1,1.04222,1,1,0,6.87106,0.214806 --9.24283,0.672444,1.04222,2,3,0,9.32424,0.0542853 --6.74841,0.874709,1.04222,2,7,0,10.0124,0.246515 --8.38916,0.627002,1.04222,1,3,0,9.19617,0.0778217 --9.44634,0.911502,1.04222,1,1,0,9.45534,0.0500494 --9.3324,1,1.04222,1,1,0,9.72137,0.0523696 --8.7438,1,1.04222,1,1,0,9.38087,0.0667032 --8.3108,1,1.04222,1,1,0,8.80538,0.0806102 --7.89091,1,1.04222,1,1,0,8.33385,0.0982776 --7.55045,1,1.04222,1,1,0,7.89976,0.1174 --6.94568,0.9848,1.04222,1,3,0,7.44943,0.177388 --7.34161,0.94045,1.04222,1,3,0,7.34181,0.132595 --6.75286,0.972432,1.04222,1,3,0,7.45166,0.262425 --7.58163,0.818906,1.04222,1,3,0,7.64477,0.428937 --7.27568,0.739369,1.04222,1,3,0,8.88598,0.138206 --6.87717,0.919039,1.04222,2,3,0,7.90466,0.316803 --6.8761,0.951767,1.04222,1,3,0,7.15384,0.190555 --7.06557,0.98719,1.04222,2,3,0,7.06748,0.160169 --7.02895,1,1.04222,2,3,0,7.1092,0.164918 --7.39295,0.936434,1.04222,1,1,0,7.39562,0.12853 --6.88741,0.920572,1.04222,2,7,0,7.87415,0.319517 --6.74813,0.992645,1.04222,2,3,0,6.9317,0.251803 --6.75864,0.997143,1.04222,1,3,0,6.76212,0.232085 --6.97113,0.968931,1.04222,2,3,0,7.01964,0.33897 --6.99849,0.991376,1.04222,1,1,0,7.06057,0.344558 --6.78898,1,1.04222,2,3,0,6.95791,0.215411 --6.83464,0.979749,1.04222,1,3,0,6.93888,0.304264 --7.21164,0.85393,1.04222,1,3,0,7.6704,0.14415 --7.85202,0.904299,1.04222,1,1,0,7.85209,0.100199 --6.74808,0.958184,1.04222,1,3,0,8.0211,0.248666 --6.75161,0.999167,1.04222,1,3,0,6.75204,0.239512 --6.75161,0.308783,1.04222,2,7,0,11.0927,0.239512 --6.82503,0.886356,1.04222,2,3,0,7.49627,0.203208 --6.74803,0.999198,1.04222,1,3,0,6.82494,0.250361 --7.01097,0.933838,1.04222,1,3,0,7.09152,0.167394 --7.76364,0.897797,1.04222,1,3,0,7.78221,0.104791 --6.93355,0.865354,1.04222,2,3,0,9.10774,0.330748 --8.03516,0.5545,1.04222,1,3,0,9.42798,0.0916194 --6.88411,0.994052,1.04222,1,3,0,7.96828,0.188854 --7.41737,0.958273,1.04222,2,3,0,7.44606,0.409228 --6.75243,1,1.04222,1,3,0,7.37062,0.238389 --6.76327,0.997261,1.04222,1,1,0,6.7633,0.228606 --6.74913,0.938461,1.04222,2,3,0,7.14245,0.24415 --8.89435,0.527117,1.04222,1,3,0,10.0658,0.062611 --8.78474,1,1.04222,1,1,0,9.12902,0.0655571 --7.5019,0.939597,1.04222,1,3,0,8.643,0.120638 --7.84384,0.98444,1.04222,2,3,0,7.8938,0.100611 --7.06571,0.97463,1.04222,1,3,0,7.72453,0.160152 --7.69698,0.906263,1.04222,2,3,0,8.11961,0.108482 --7.57664,1,1.04222,2,3,0,7.79316,0.115716 --7.44499,1,1.04222,1,1,0,7.64886,0.124645 --6.83897,1,1.04222,2,3,0,7.28726,0.305655 --6.75861,1,1.04222,1,3,0,6.81689,0.268481 --6.83456,0.974126,1.04222,1,3,0,6.8966,0.20055 --7.2173,0.745473,1.04222,2,3,0,8.73385,0.143603 --6.89182,0.991717,1.04222,1,3,0,7.15232,0.18727 --6.75275,1,1.04222,1,3,0,6.87441,0.237976 --6.75008,0.981106,1.04222,2,3,0,6.86387,0.258086 --7.16561,0.89012,1.04222,1,3,0,7.3389,0.148781 --9.37595,0.769674,1.04222,1,3,0,9.77348,0.0514679 --6.79971,0.977287,1.04222,2,3,0,9.90039,0.211315 --6.75119,1,1.04222,2,3,0,6.79047,0.260033 --7.14627,0.908853,1.04222,1,3,0,7.17964,0.370838 --6.93873,1,1.04222,1,1,0,7.11052,0.331925 --6.83644,0.88788,1.04222,2,3,0,7.4917,0.304846 --6.83644,0.924825,1.04222,1,3,0,7.21665,0.304846 --7.13608,0.876535,1.04222,1,3,0,7.54446,0.151936 --8.96709,0.805984,1.04222,1,3,0,9.21879,0.0607483 --6.84478,0.980084,1.04222,1,3,0,9.19602,0.197874 --6.75296,0.95451,1.04222,2,3,0,7.22401,0.262552 --6.77644,0.99731,1.04222,2,3,0,6.77681,0.221017 --7.16218,0.925332,1.04222,1,3,0,7.2038,0.14914 --7.54003,0.93921,1.04222,1,1,0,7.55113,0.118082 --7.61997,0.996186,1.04222,2,3,0,7.74035,0.11302 --7.67887,0.991832,1.04222,1,1,0,7.81707,0.109522 --7.74186,0.991508,1.04222,1,1,0,7.88663,0.105974 --6.76837,0.993671,1.04222,1,3,0,7.76522,0.225366 --6.75555,0.943224,1.04222,2,3,0,7.16736,0.23487 --6.78133,0.99109,1.04222,1,3,0,6.8082,0.283151 --7.57853,0.765686,1.04222,1,3,0,8.14249,0.115596 --7.81694,0.967845,1.04222,1,1,0,7.8982,0.101983 --7.28284,1,1.04222,1,1,0,7.74183,0.137573 --6.85274,0.957507,1.04222,2,3,0,7.76304,0.309887 --6.85274,0.848532,1.04222,1,3,0,7.34478,0.309887 --6.83694,1,1.04222,1,1,0,6.87062,0.305006 --6.79287,0.983927,1.04222,1,3,0,6.9439,0.213864 --7.18629,0.928922,1.04222,1,3,0,7.21647,0.14666 --6.95635,1,1.04222,1,1,0,7.14808,0.17563 --7.12122,0.989443,1.04222,2,3,0,7.13434,0.153584 --7.31714,0.966342,1.04222,1,1,0,7.34827,0.134623 --7.58614,0.986384,1.04222,2,3,0,7.62916,0.115115 --7.15692,1,1.04222,1,1,0,7.52148,0.149694 --7.27124,0.980298,1.04222,1,1,0,7.32456,0.138601 --7.68646,0.937477,1.04222,1,1,0,7.70273,0.109084 --6.97417,0.981689,1.04222,1,3,0,7.57613,0.172811 --10.6201,0.463949,1.04222,2,3,0,12.383,0.0319846 --7.05605,1,1.04222,2,3,0,10.1882,0.161369 --6.74904,0.909508,1.04222,2,3,0,8.13427,0.255682 --6.7654,0.946588,1.04222,2,3,0,7.04304,0.227192 --6.98206,0.800583,1.04222,2,3,0,8.05273,0.171607 --7.4808,0.917946,1.04222,2,3,0,7.84263,0.122096 --6.86086,0.990749,1.04222,2,3,0,7.58931,0.193972 --8.23223,0.77569,1.04222,1,3,0,8.50081,0.0835473 --7.07192,0.971181,1.04222,1,3,0,8.11077,0.159381 --7.35884,0.950396,1.04222,1,1,0,7.37102,0.131203 --6.7672,0.960837,1.04222,1,3,0,7.5381,0.275 --6.76511,0.990796,1.04222,2,3,0,6.82292,0.27357 --6.77529,0.997138,1.04222,1,1,0,6.77823,0.279919 --6.8525,0.977845,1.04222,1,1,0,6.85314,0.309814 --6.83627,0.968319,1.04222,1,3,0,7.04654,0.20009 --6.75732,0.940878,1.04222,2,3,0,7.24356,0.267301 --7.28603,0.80471,1.04222,2,3,0,7.91889,0.391766 --10.3558,0.646361,1.04222,2,3,0,10.3657,0.631094 --8.44657,1,1.04222,2,3,0,10.0542,0.510511 --6.88436,0.955128,1.04222,1,3,0,8.7623,0.188802 --6.7594,0.889235,1.04222,2,3,0,7.71517,0.231464 --6.95504,0.959446,1.04222,1,3,0,6.97473,0.175842 --7.86566,0.881721,1.04222,1,3,0,7.92407,0.0995188 --7.42529,1,1.04222,1,1,0,7.82891,0.126089 --6.83777,1,1.04222,2,3,0,7.27233,0.305271 --6.83836,0.999824,1.04222,1,1,0,6.86404,0.30546 --6.83936,0.926271,1.04222,2,3,0,7.21469,0.305777 --6.82583,0.934693,1.04222,2,3,0,7.1742,0.301326 --7.03687,0.937441,1.04222,1,1,0,7.04028,0.351948 --9.38716,0.449617,1.04222,1,1,0,9.38716,0.576625 --8.40004,1,1.04222,1,1,0,9.4758,0.506764 --8.21637,1,1.04222,1,1,0,8.80161,0.491404 --7.63724,1,1.04222,1,1,0,8.23297,0.435182 --8.43986,0.755147,1.04222,1,1,0,8.63807,0.509974 --6.75014,1,1.04222,1,3,0,8.08284,0.258191 --6.74809,0.999935,1.04222,1,3,0,6.75043,0.248544 --7.49036,0.680666,1.04222,2,3,0,8.73441,0.121432 --7.2914,1,1.04222,1,1,0,7.51264,0.136824 --7.46174,0.973128,1.04222,1,1,0,7.5221,0.123441 --6.82122,0.949368,1.04222,2,3,0,8.04515,0.299728 --6.82122,0.764012,1.04222,1,3,0,7.93625,0.299728 --7.03213,0.877678,1.04222,2,3,0,7.53094,0.16449 --7.30923,0.950794,1.04222,1,1,0,7.31848,0.135292 --7.68384,0.944219,1.04222,1,1,0,7.70869,0.109234 --7.14103,1,1.04222,1,1,0,7.59471,0.151396 --7.71515,0.96993,1.04222,2,3,0,7.71522,0.107455 --8.1059,0.984026,1.04222,2,3,0,8.16755,0.0885971 --7.36897,1,1.04222,1,1,0,8.00102,0.130398 --7.05672,0.926537,1.04222,1,3,0,8.13424,0.355591 --7.06327,0.860511,1.04222,1,3,0,7.75923,0.160456 --7.06327,0.8979,1.04222,1,3,0,7.69575,0.160456 --6.77924,0.9267,1.04222,2,3,0,7.73805,0.282068 --9.16947,0.397504,1.04222,1,3,0,11.099,0.0559183 --6.84203,0.960149,1.04222,2,7,0,8.59675,0.306618 --6.84489,0.999714,1.04222,2,3,0,6.8714,0.307508 --6.75746,1,1.04222,1,3,0,6.82141,0.267426 --6.76238,0.999545,1.04222,2,3,0,6.76406,0.271573 --6.86593,0.96452,1.04222,1,3,0,6.95199,0.192807 --7.21785,0.971083,1.04222,2,3,0,7.22539,0.381917 --6.78924,0.853137,1.04222,2,3,0,7.94524,0.28698 --7.03022,0.844423,1.04222,2,3,0,7.69742,0.164746 --7.01319,1,1.04222,1,1,0,7.07996,0.167082 --7.05415,0.992109,1.04222,1,1,0,7.1007,0.161611 --6.85726,1,1.04222,2,3,0,7.01327,0.194817 --6.74806,0.998425,1.04222,1,3,0,6.85931,0.251086 --9.38415,0.543131,1.04222,1,3,0,9.63162,0.576437 --9.64896,0.971147,1.04222,2,3,0,10.5086,0.59246 --7.69369,1,1.04222,1,1,0,9.09941,0.441334 --6.78597,0.987925,1.04222,1,3,0,7.75901,0.216663 --6.83212,0.980101,1.04222,1,3,0,6.93046,0.303439 --7.41055,0.644106,1.04222,2,3,0,8.83631,0.408363 --6.99785,1,1.04222,1,1,0,7.30711,0.344431 --7.13081,0.958037,1.04222,1,1,0,7.18665,0.368328 --6.75003,0.983919,1.04222,2,3,0,7.23616,0.242142 --6.74853,1,1.04222,1,1,0,6.74964,0.246009 --7.20215,0.891163,1.04222,1,3,0,7.33897,0.145078 --7.20339,0.999784,1.04222,1,1,0,7.29597,0.144957 --6.76945,0.996908,1.04222,2,3,0,7.21898,0.224735 --6.82403,0.995241,1.04222,2,3,0,6.82425,0.300709 --6.96546,0.920921,1.04222,2,3,0,7.28832,0.174171 --7.46611,0.927053,1.04222,1,3,0,7.46873,0.12313 --6.92107,0.907562,1.04222,2,7,0,8.04276,0.327852 --7.38907,0.757367,1.04222,1,3,0,8.16308,0.128828 --6.81026,0.993951,1.04222,2,3,0,7.4433,0.20772 --6.80926,0.986744,1.04222,1,3,0,6.93353,0.295347 --6.80926,0.722145,1.04222,1,3,0,8.14557,0.295347 --6.91668,0.989436,1.04222,2,3,0,6.9218,0.32681 --6.95441,0.918013,1.04222,1,3,0,7.35469,0.175946 --6.95441,0.729061,1.04222,1,3,0,8.89133,0.175946 --7.70675,0.898132,1.04222,1,3,0,7.73684,0.107928 --7.65067,1,1.04222,2,3,0,7.84235,0.111174 --7.65067,0.892763,1.04222,1,1,0,8.46416,0.111174 --6.74877,0.983138,1.04222,2,3,0,7.79792,0.254863 --6.74848,0.999868,1.04222,1,3,0,6.7498,0.246248 --6.74848,0.93642,1.04222,1,3,0,7.01072,0.246248 --6.86613,0.977253,1.04222,2,3,0,6.9126,0.313759 --6.98429,0.964133,1.04222,1,1,0,7.00267,0.341695 --7.16758,0.942572,1.04222,1,1,0,7.21374,0.374226 --6.84373,1,1.04222,2,3,0,7.09421,0.198142 --7.83605,0.645689,1.04222,2,3,0,9.58994,0.101005 --7.88792,0.993465,1.04222,1,1,0,8.0567,0.0984234 --8.59419,0.923978,1.04222,1,1,0,8.61781,0.0711184 --9.03826,0.987473,1.04222,2,3,0,9.1599,0.0589929 --7.03248,0.984425,1.04222,1,3,0,9.0761,0.164444 --6.78965,0.99795,1.04222,1,3,0,6.98617,0.215139 --6.74814,0.999649,1.04222,2,3,0,6.79125,0.248091 --6.74814,0.980641,1.04222,2,3,0,6.85777,0.248063 --6.79739,0.987888,1.04222,1,3,0,6.8073,0.212159 --7.31062,0.907074,1.04222,1,3,0,7.36253,0.135174 --7.50889,0.969257,1.04222,1,1,0,7.56556,0.120163 --6.84733,1,1.04222,2,3,0,7.33637,0.308256 --6.77377,1,1.04222,1,1,0,6.8266,0.279055 --6.77377,0.968494,1.04222,1,1,0,6.85179,0.279055 --6.99281,0.967741,1.04222,2,3,0,6.99735,0.170004 --6.75528,1,1.04222,1,3,0,6.96907,0.235141 --7.89458,0.751628,1.04222,1,3,0,8.29283,0.0980992 --7.89458,0.928857,1.04222,1,1,0,8.50879,0.0980992 --13.6885,0.615718,1.04222,2,3,0,13.722,0.0107772 --12.0962,1,1.04222,1,1,0,13.6672,0.0187758 --7.6458,0.988514,1.04222,2,3,0,13.1384,0.111463 --7.87813,0.989857,1.04222,2,3,0,7.96887,0.0989031 --7.32937,1,1.04222,1,1,0,7.80442,0.133602 --7.10966,1,1.04222,1,1,0,7.31645,0.154897 --6.75693,0.998494,1.04222,2,3,0,7.11053,0.233564 --6.96796,0.769313,1.04222,2,3,0,8.36177,0.173778 --6.7761,0.99891,1.04222,1,3,0,6.93114,0.221184 --6.75333,0.941645,1.04222,2,3,0,7.19422,0.237265 --6.84206,0.982097,1.04222,2,3,0,6.88481,0.198569 --6.88204,0.991227,1.04222,1,1,0,6.8953,0.189287 --7.75432,0.804716,1.04222,1,3,0,8.25887,0.447747 --6.75124,1,1.04222,1,3,0,7.64251,0.240065 --6.77641,0.993894,1.04222,2,3,0,6.79581,0.221033 --7.14891,0.95114,1.04222,2,3,0,7.22644,0.371262 --7.86205,0.785278,1.04222,1,1,0,7.91665,0.458694 --8.91365,0.691297,1.04222,1,1,0,9.16325,0.545394 --7.34147,1,1.04222,1,1,0,8.43001,0.399354 --6.75505,1,1.04222,1,3,0,7.32109,0.235381 --6.91741,0.969902,1.04222,2,3,0,6.97899,0.182343 --9.04477,0.631485,1.04222,1,3,0,9.83652,0.554411 --7.42515,1,1.04222,2,3,0,8.68699,0.1261 --7.05617,1,1.04222,2,3,0,7.36376,0.161353 --7.30058,0.956905,1.04222,1,1,0,7.31603,0.136031 --6.77038,0.981102,1.04222,2,3,0,7.47523,0.277034 --7.17474,0.910308,1.04222,1,3,0,7.18476,0.375346 --8.32481,0.674645,1.04222,1,1,0,8.36484,0.500586 --7.6021,1,1.04222,1,1,0,8.26608,0.431258 --7.35257,0.702248,1.04222,1,3,0,9.08796,0.131707 --6.76334,0.879896,1.04222,2,3,0,8.8454,0.272295 --6.77762,0.991505,1.04222,1,3,0,6.81892,0.22044 --6.84759,0.993909,1.04222,2,3,0,6.84776,0.308335 --6.74808,0.997119,1.04222,2,3,0,6.86594,0.248599 --6.92946,0.955261,1.04222,1,3,0,6.96112,0.32981 --7.03099,0.886549,1.04222,1,3,0,7.51607,0.164644 --7.03099,0.97152,1.04222,1,1,0,7.18266,0.164644 --7.52059,0.928245,1.04222,1,3,0,7.52064,0.119373 --7.64902,0.951918,1.04222,2,3,0,8.41526,0.111272 --7.7375,0.842547,1.04222,1,3,0,9.56364,0.445987 --6.84652,1,1.04222,1,3,0,7.4553,0.308008 --7.16413,0.905753,1.04222,1,1,0,7.16738,0.373683 --7.91877,0.53246,1.04222,1,3,0,9.67645,0.0969359 --6.77218,1,1.04222,2,3,0,7.79076,0.22322 --7.30683,0.921712,1.04222,2,3,0,7.47743,0.394653 --7.12251,1,1.04222,1,1,0,7.33521,0.366961 --6.75575,0.946119,1.04222,2,3,0,7.44494,0.265754 --6.87662,0.962546,1.04222,1,3,0,6.95042,0.190443 --6.81681,1,1.04222,1,1,0,6.86869,0.205652 --8.72811,0.6467,1.04222,1,3,0,9.22905,0.532088 --6.90768,1,1.04222,2,3,0,8.94788,0.184161 --7.49303,0.917204,1.04222,1,3,0,7.51097,0.121248 --6.92142,0.895348,1.04222,2,3,0,8.3573,0.327935 --6.82595,0.968949,1.04222,1,3,0,7.11184,0.202943 --7.34255,0.917631,1.04222,2,3,0,7.54891,0.132519 --6.9387,0.988239,1.04222,1,3,0,7.26563,0.17857 --6.7487,0.999327,1.04222,1,3,0,6.93286,0.245401 --6.7494,0.987563,1.04222,2,3,0,6.82324,0.243479 --7.09141,0.705348,1.04222,2,3,0,8.74535,0.157025 --6.97634,1,1.04222,1,1,0,7.09282,0.172476 --6.9737,0.827374,1.04222,2,3,0,8.58015,0.172883 --6.79542,1,1.04222,2,3,0,6.92681,0.289735 --6.79542,0.651548,1.04222,1,3,0,8.54365,0.289735 --6.79542,0.73316,1.04222,1,3,0,8.06672,0.289735 --7.59208,0.681758,1.04222,2,3,0,8.57714,0.114743 --7.58483,1,1.04222,1,1,0,7.74195,0.115198 --7.19137,1,1.04222,2,3,0,7.53269,0.146149 --7.02896,1,1.04222,1,1,0,7.18492,0.164916 --7.06835,0.992483,1.04222,1,1,0,7.11827,0.159823 --6.87415,1,1.04222,1,1,0,7.02968,0.190979 --6.77924,0.969245,1.04222,2,3,0,7.11724,0.282063 --6.7582,1,1.04222,1,1,0,6.77379,0.268112 --6.81468,0.980019,1.04222,1,3,0,6.86628,0.206314 --6.75979,0.910412,1.04222,2,3,0,7.53886,0.231159 --6.76598,0.999487,1.04222,2,3,0,6.76774,0.226825 --6.75766,0.996189,1.04222,2,3,0,6.79507,0.267618 --7.30008,0.878373,1.04222,1,3,0,7.33103,0.393722 --6.97928,0.894702,1.04222,1,3,0,7.88137,0.172027 --6.80456,0.972517,1.04222,1,3,0,7.1513,0.293517 --7.07249,0.921926,1.04222,1,1,0,7.07258,0.358412 --7.38611,0.901392,1.04222,1,1,0,7.44672,0.405228 --6.77481,0.99908,1.04222,2,3,0,7.45054,0.221835 --6.77331,1,1.04222,1,1,0,6.78041,0.222615 --7.03112,0.952969,1.04222,2,3,0,7.14446,0.164626 --7.27588,0.901547,1.04222,1,3,0,7.92949,0.390338 --6.81925,1,1.04222,1,3,0,7.13466,0.299032 --6.88852,0.979436,1.04222,1,1,0,6.89902,0.319807 --6.74954,0.988468,1.04222,2,3,0,6.95685,0.256935 --7.17018,0.902552,1.04222,1,3,0,7.21223,0.374634 --6.75121,0.983559,1.04222,2,3,0,7.28094,0.24011 --6.83414,0.983722,1.04222,2,3,0,6.86942,0.200662 --6.80649,0.982784,1.04222,2,3,0,6.99067,0.294276 --6.75191,1,1.04222,1,3,0,6.79315,0.26113 --7.11522,0.916161,1.04222,1,3,0,7.14378,0.365749 --7.19427,0.974345,1.04222,1,1,0,7.29496,0.378359 --8.7022,0.595411,1.04222,1,1,0,8.73352,0.530175 --8.13398,1,1.04222,2,3,0,8.89204,0.48419 --7.04508,1,1.04222,1,1,0,7.78246,0.353468 --6.74806,1,1.04222,1,3,0,7.00609,0.251069 --6.84743,0.974426,1.04222,1,3,0,6.8755,0.197206 --7.01827,0.988094,1.04222,2,3,0,7.01909,0.166376 --7.36444,0.890273,1.04222,1,3,0,8.02438,0.402402 --6.85539,1,1.04222,1,1,0,7.20443,0.310669 --6.79695,0.981627,1.04222,1,3,0,6.97426,0.21232 --9.71514,0.475791,1.04222,2,3,0,11.1638,0.0450442 --8.63124,1,1.04222,1,1,0,9.64208,0.0699903 --6.86324,0.929453,1.04222,1,3,0,9.6708,0.312941 --6.83917,0.915935,1.04222,2,3,0,7.28692,0.305716 --6.75234,1,1.04222,2,3,0,6.83301,0.2385 --6.74828,0.991834,1.04222,2,3,0,6.80269,0.252869 --6.74828,0.67839,1.04222,1,3,0,8.067,0.252869 --6.95773,0.949577,1.04222,1,3,0,6.9851,0.336116 --7.61055,0.8073,1.04222,1,1,0,7.62234,0.432208 --7.30317,1,1.04222,1,1,0,7.6408,0.394149 --7.36285,0.980072,1.04222,1,1,0,7.52904,0.402192 --6.74804,1,1.04222,1,3,0,7.27108,0.250656 --6.74935,0.97539,1.04222,2,3,0,6.88568,0.243601 --7.19515,0.894131,1.04222,1,3,0,7.27592,0.378493 --7.48744,0.906292,1.04222,1,1,0,7.58864,0.417885 --6.95958,1,1.04222,1,1,0,7.33173,0.336515 --6.8186,0.896547,1.04222,2,3,0,7.47112,0.298798 --7.76878,0.838408,1.04222,2,3,0,7.77388,0.104515 --6.83123,0.910435,1.04222,1,3,0,8.27998,0.303142 --6.79658,0.957265,1.04222,2,3,0,7.05772,0.290231 --7.24425,0.903405,1.04222,1,3,0,7.24659,0.385804 --6.87469,1,1.04222,1,1,0,7.13348,0.316129 --7.08292,0.875026,1.04222,2,3,0,7.52736,0.158041 --7.12503,0.992239,1.04222,1,1,0,7.18412,0.153158 --7.42634,0.949671,1.04222,1,1,0,7.44232,0.126011 --7.01591,1,1.04222,2,3,0,7.35251,0.166703 --6.79544,0.945038,1.04222,2,3,0,7.48286,0.289743 --7.57069,0.551763,1.04222,2,3,0,9.82666,0.116095 --6.78191,0.864634,1.04222,2,3,0,9.36597,0.283445 --6.75945,0.995834,1.04222,1,3,0,6.81128,0.231426 --6.74845,0.972157,1.04222,2,3,0,6.94087,0.246351 --6.74872,0.996468,1.04222,2,3,0,6.7689,0.254675 --6.75077,0.999212,1.04222,1,3,0,6.75328,0.240811 --6.75141,0.996891,1.04222,2,3,0,6.77091,0.260375 --7.21887,0.875028,1.04222,1,3,0,7.4279,0.143452 --6.90165,0.991459,1.04222,1,3,0,7.15572,0.185321 --6.8351,1,1.04222,1,1,0,6.89473,0.200402 --6.78708,0.876083,1.04222,2,3,0,7.74993,0.216193 --7.37361,0.922098,1.04222,2,3,0,7.52946,0.403604 --6.96797,1,1.04222,1,1,0,7.26616,0.338303 --6.96797,0.674307,1.04222,1,3,0,8.67351,0.338303 --7.54849,0.826666,1.04222,1,1,0,7.56487,0.42512 --7.04936,0.859834,1.04222,1,3,0,8.32194,0.162226 --7.72812,0.905765,1.04222,1,3,0,7.73485,0.106732 --6.81077,1,1.04222,2,3,0,7.49986,0.295921 --6.77486,1,1.04222,1,1,0,6.80311,0.279675 --7.45005,0.586171,1.04222,2,3,0,9.53012,0.124279 --7.82316,0.931816,1.04222,2,3,0,8.51885,0.101663 --8.22402,0.953197,1.04222,1,1,0,8.29366,0.0838628 --7.77638,1,1.04222,1,1,0,8.22568,0.104109 --7.07229,0.912942,1.04222,1,3,0,8.77694,0.358376 --7.52843,0.859088,1.04222,1,1,0,7.57788,0.422772 --7.15935,0.798755,1.04222,1,3,0,8.55506,0.149437 --6.74803,0.991091,1.04222,1,3,0,7.18291,0.249381 --6.7536,0.998552,1.04222,1,3,0,6.75496,0.263352 --6.78195,0.968835,1.04222,2,3,0,6.93165,0.218416 --6.74818,1,1.04222,1,3,0,6.77924,0.247807 --7.13458,0.908088,1.04222,1,3,0,7.1953,0.368945 --7.17007,0.988401,1.04222,1,1,0,7.28371,0.374617 --6.97952,0.894729,1.04222,1,3,0,7.73045,0.171991 --6.7606,0.98524,1.04222,1,3,0,7.04987,0.270169 --6.75038,0.998165,1.04222,2,3,0,6.77302,0.258652 --6.83466,0.975636,1.04222,2,3,0,6.90356,0.304271 --6.83444,0.969798,1.04222,1,3,0,7.01927,0.200581 --8.00133,0.857983,1.04222,2,3,0,8.37393,0.4721 --8.23375,0.973855,1.04222,2,3,0,8.61807,0.492898 --6.81751,1,1.04222,1,3,0,7.8052,0.298409 --6.93285,0.935254,1.04222,2,3,0,7.20061,0.17958 --6.88847,0.969157,1.04222,1,3,0,7.23222,0.319795 --6.75258,0.997054,1.04222,1,3,0,6.90214,0.238195 --8.17989,0.630858,1.04222,2,3,0,9.34424,0.488236 --8.22046,0.98583,1.04222,1,1,0,8.6939,0.491756 --8.18553,1,1.04222,1,1,0,8.68441,0.488728 --6.97015,1,1.04222,1,1,0,7.7834,0.338764 --6.79521,0.917513,1.04222,2,3,0,7.38701,0.289646 --6.74842,0.999599,1.04222,1,3,0,6.79559,0.246504 --6.96912,0.945504,1.04222,1,3,0,7.01101,0.338547 --6.94544,1,1.04222,2,3,0,7.01627,0.333425 --6.76486,0.99019,1.04222,1,3,0,6.99653,0.227541 --6.77113,0.994815,1.04222,1,3,0,6.80876,0.277494 --7.55889,0.82936,1.04222,1,3,0,7.58742,0.426325 --7.29143,1,1.04222,1,1,0,7.60344,0.39252 --7.45883,0.944895,1.04222,1,1,0,7.60623,0.414399 --6.85249,1,1.04222,1,1,0,7.26684,0.309811 --6.88441,0.990366,1.04222,1,1,0,6.90907,0.318733 --6.88441,0.390987,1.04222,1,3,0,10.0704,0.318733 --7.18698,0.908774,1.04222,1,1,0,7.19761,0.377241 --7.13234,1,1.04222,2,3,0,7.27892,0.368579 --6.75589,0.996933,1.04222,1,3,0,7.14075,0.234546 --6.77666,0.998179,1.04222,2,3,0,6.77673,0.280677 --8.05962,0.736603,1.04222,1,3,0,8.10684,0.477488 --7.43189,1,1.04222,1,1,0,7.98879,0.411056 --8.89616,0.600449,1.04222,1,1,0,8.98669,0.544167 --6.74855,1,1.04222,1,3,0,8.51084,0.245959 --6.77191,0.993618,1.04222,1,3,0,6.77997,0.277963 --8.28578,0.69719,1.04222,1,3,0,8.35107,0.49732 --8.28578,0.393482,1.04222,1,1,0,10.3186,0.49732 --7.34195,1,1.04222,1,1,0,8.05467,0.399419 --6.87936,1,1.04222,1,1,0,7.19892,0.317391 --6.87936,0.723163,1.04222,1,3,0,8.05415,0.317391 --6.98096,0.912105,1.04222,1,3,0,7.34821,0.171773 --7.09862,0.977456,1.04222,1,1,0,7.12269,0.156176 --7.04001,0.973423,1.04222,2,3,0,7.491,0.163445 --6.75055,0.98907,1.04222,1,3,0,7.08018,0.258955 --7.64328,0.654573,1.04222,2,3,0,8.86532,0.111613 --7.64328,0.934393,1.04222,1,1,0,8.13861,0.111613 --7.84625,0.973196,1.04222,1,1,0,7.9444,0.10049 --6.81886,1,1.04222,2,3,0,7.58881,0.298894 --6.75306,0.997071,1.04222,1,3,0,6.83565,0.237596 --6.80361,0.902714,1.04222,2,3,0,7.39496,0.209943 --6.74804,0.999742,1.04222,1,3,0,6.80193,0.249305 --6.81136,0.892469,1.04222,2,3,0,7.36207,0.207365 --6.781,1,1.04222,1,1,0,6.807,0.218851 --6.76429,0.993237,1.04222,2,3,0,6.83189,0.272985 --6.77607,0.998897,1.04222,2,3,0,6.77859,0.280353 --6.89639,0.98469,1.04222,2,3,0,6.89694,0.186354 --6.74811,1,1.04222,2,3,0,6.88935,0.248334 --8.53509,0.596879,1.04222,2,3,0,9.46864,0.0729687 --7.01532,0.907913,1.04222,2,3,0,10.2209,0.166785 --6.86108,1,1.04222,1,1,0,6.98552,0.193919 --8.6214,0.783787,1.04222,2,3,0,8.80577,0.0702876 --8.21533,1,1.04222,1,1,0,8.68296,0.0841985 --8.9582,0.930521,1.04222,1,1,0,8.99443,0.0609723 --8.46631,1,1.04222,1,1,0,9.01437,0.0752034 --6.83143,1,1.04222,2,3,0,8.05818,0.303209 --6.80224,1,1.04222,1,1,0,6.83329,0.292586 --6.85642,0.984101,1.04222,1,1,0,6.86401,0.310973 --7.41356,0.926187,1.04222,2,3,0,7.414,0.408744 --6.80426,1,1.04222,2,3,0,7.39814,0.209718 --6.80208,1,1.04222,1,1,0,6.81638,0.210476 --6.76614,1,1.04222,1,1,0,6.79365,0.226726 --6.88949,0.98592,1.04222,2,3,0,6.89978,0.320059 --6.95292,0.921325,1.04222,1,3,0,7.31269,0.176189 --7.01849,0.943539,1.04222,1,3,0,7.45408,0.34847 --6.86076,1,1.04222,1,1,0,6.98332,0.312233 --6.86076,0.908146,1.04222,1,1,0,7.07769,0.312233 --10.1145,0.487011,1.04222,2,7,0,10.1321,0.0386484 --8.89466,1,1.04222,1,1,0,10.0364,0.062603 --6.78933,1,1.04222,2,3,0,8.39429,0.287022 --6.82522,0.955534,1.04222,2,3,0,7.02843,0.301119 --6.89249,0.993321,1.04222,2,3,0,6.90478,0.320832 --7.84405,0.734165,1.04222,1,1,0,7.84408,0.456902 --7.84405,0.305136,1.04222,1,3,0,13.6434,0.456902 --7.84405,0.364986,1.04222,1,1,0,9.86557,0.456902 --7.13188,1,1.04222,1,1,0,7.65319,0.368503 --7.41825,0.908861,1.04222,1,1,0,7.49981,0.409339 --6.95483,0.646287,1.04222,2,3,0,9.32879,0.335489 --7.92481,0.871983,1.04222,2,3,0,7.92895,0.464832 --8.41678,0.841237,1.04222,1,1,0,8.74304,0.508119 --7.24721,1,1.04222,1,1,0,8.07089,0.386234 --6.74803,1,1.04222,1,3,0,7.17619,0.250616 --7.21107,0.878202,1.04222,2,3,0,7.55282,0.380903 --7.16189,1,1.04222,1,1,0,7.31532,0.373329 --7.8034,0.804591,1.04222,1,1,0,7.866,0.452802 --6.78712,0.991151,1.04222,1,3,0,7.86013,0.216179 --6.80894,0.870724,1.04222,2,3,0,7.67884,0.20815 --7.34861,0.714839,1.04222,2,3,0,8.86583,0.132026 --6.85343,0.957437,1.04222,2,3,0,7.84717,0.310091 --7.21578,0.851243,1.04222,1,3,0,7.71672,0.143749 --6.77393,0.900218,1.04222,2,3,0,8.26728,0.279144 --6.87001,0.988954,1.04222,2,3,0,6.87015,0.314843 --6.76176,1,1.04222,2,3,0,6.85231,0.229675 --6.95536,0.947548,1.04222,1,3,0,7.04263,0.335604 --6.95536,0.61556,1.04222,1,3,0,9.01805,0.335604 --8.3466,0.629397,1.04222,1,1,0,8.34695,0.502391 --9.39739,0.897578,1.04222,2,3,0,9.80622,0.577261 --7.73132,1,1.04222,2,7,0,8.98465,0.106555 --6.77324,1,1.04222,2,3,0,7.51277,0.278746 --6.79597,0.959847,1.04222,2,3,0,6.99036,0.212687 --6.76161,1,1.04222,1,1,0,6.7876,0.229783 --6.93086,0.97746,1.04222,2,3,0,6.95802,0.330133 --7.18695,0.675147,1.04222,2,3,0,8.69157,0.377237 --8.59624,0.359449,1.04222,1,3,0,11.2076,0.0710553 --8.32565,1,1.04222,1,1,0,8.71908,0.080071 --8.54198,0.978694,1.04222,1,1,0,8.70842,0.0727495 --7.18966,0.88513,1.04222,1,3,0,10.2196,0.377653 --7.00529,0.881433,1.04222,1,3,0,7.80925,0.168197 --6.84462,1,1.04222,1,1,0,6.97198,0.197915 --7.04094,0.9591,1.04222,1,1,0,7.04104,0.163321 --7.2163,0.968221,1.04222,1,1,0,7.23968,0.143699 --7.06629,1,1.04222,1,1,0,7.2205,0.160079 --6.8501,1,1.04222,1,1,0,7.02068,0.196544 --7.03942,0.789889,1.04222,2,3,0,8.46072,0.163522 --6.76799,0.926071,1.04222,2,3,0,7.75381,0.275518 --6.74827,0.999008,1.04222,2,3,0,6.77406,0.252784 --6.74965,0.999549,1.04222,2,3,0,6.75127,0.257172 +# 0.444866 +-9.3487087,0.49624245,1.0337943,1,1,0,9.4030212,0.57421926 +-6.7582697,1,1.0337943,1,3,0,8.6886736,0.26817347 +-7.1681487,0.88280285,1.0337943,1,3,0,7.3838385,0.14851706 +-7.0636178,1,1.0337943,1,1,0,7.1900138,0.16041293 +-7.5124379,0.92362496,1.0337943,1,1,0,7.5135873,0.11992241 +-6.8658787,0.9901729,1.0337943,2,3,0,7.6278912,0.19281843 +-6.9455165,0.98294105,1.0337943,1,1,0,6.9570896,0.17741593 +-6.7490886,0.93117787,1.0337943,2,3,0,7.6428896,0.25580356 +-6.9732381,0.94636091,1.0337943,1,3,0,6.9959373,0.33941033 +-7.6128532,0.80799287,1.0337943,1,1,0,7.6296513,0.43246678 +-6.9686636,0.89579057,1.0337943,1,3,0,8.1734071,0.17366703 +-6.763701,1,1.0337943,1,3,0,6.9352281,0.22831204 +-6.7701084,0.99840017,1.0337943,1,1,0,6.7727986,0.22436156 +-6.7619239,0.9046887,1.0337943,2,3,0,7.3821685,0.22955291 +-6.7505706,0.99999255,1.0337943,1,3,0,6.7590304,0.24114681 +-6.7505706,0.39766584,1.0337943,1,3,0,10.036768,0.24114681 +-8.3354734,0.68432781,1.0337943,1,3,0,8.5344071,0.50147127 +-6.8020393,0.61326263,1.0337943,2,3,0,10.386075,0.2925035 +-6.7905357,0.96674199,1.0337943,2,3,0,6.9772723,0.28757281 +-6.7502854,0.99855885,1.0337943,1,3,0,6.7978305,0.24165284 +-7.1693684,0.89891359,1.0337943,1,3,0,7.249209,0.37450665 +-6.7769445,0.98456724,1.0337943,1,3,0,7.2418351,0.22076914 +-6.8324909,0.98678774,1.0337943,1,1,0,6.8329676,0.20111192 +-6.7565062,0.99378265,1.0337943,1,3,0,6.864107,0.26651374 +-6.9250174,0.96151021,1.0337943,1,3,0,6.930767,0.3287784 +-6.9250174,0.76118063,1.0337943,1,1,0,7.4798673,0.3287784 +-6.8541841,1,1.0337943,1,1,0,6.9236392,0.31031477 +-7.5379999,0.88568871,1.0337943,2,3,0,7.5388759,0.11821593 +-6.8758062,0.91725294,1.0337943,1,3,0,8.0346167,0.31643287 +-6.8758062,0.62982847,1.0337943,1,3,0,8.473358,0.31643287 +-6.9855011,0.91211404,1.0337943,1,3,0,7.3424719,0.17108833 +-7.0331438,0.94160117,1.0337943,1,3,0,7.5130911,0.35125038 +-6.8785976,0.95748117,1.0337943,2,3,0,7.3439973,0.19001824 +-6.9333794,0.9960925,1.0337943,2,3,0,6.9514872,0.17948837 +-7.2034273,0.91386977,1.0337943,1,3,0,7.6602496,0.37975105 +-7.8585238,0.79766702,1.0337943,1,1,0,7.9356093,0.45834405 +-7.1547646,1,1.0337943,1,1,0,7.6765371,0.37219841 +-7.1685928,0.99539644,1.0337943,1,1,0,7.2941146,0.374385 +-6.8959998,1,1.0337943,1,1,0,7.0968424,0.32172581 +-6.9019834,0.99813709,1.0337943,1,1,0,6.9449022,0.32322895 +-6.9019834,0.83469963,1.0337943,1,3,0,7.7087875,0.32322895 +-6.7901962,0.98207494,1.0337943,1,3,0,7.0093318,0.21491956 +-6.7676721,1,1.0337943,1,1,0,6.7860863,0.22578206 +-6.9714512,0.94397461,1.0337943,1,3,0,7.0729734,0.33903623 +-6.9714512,0.9320035,1.0337943,1,1,0,7.1572437,0.33903623 +-7.0218387,0.88709268,1.0337943,1,3,0,7.5483023,0.16588483 +-6.8518773,0.98441906,1.0337943,2,3,0,7.2002965,0.19610924 +-7.0329916,0.961914,1.0337943,1,1,0,7.0338773,0.16437513 +-7.377296,0.97967964,1.0337943,2,3,0,7.381856,0.12974327 +-8.3078655,0.87737456,1.0337943,1,3,0,8.3101402,0.080717149 +-8.5892187,0.97211981,1.0337943,1,1,0,8.7372457,0.071271718 +-6.7760844,0.95151265,1.0337943,1,3,0,8.8102349,0.22119434 +-6.7760844,0.83241972,1.0337943,1,3,0,7.537472,0.22119434 +-6.8412035,0.97694426,1.0337943,1,3,0,6.9240971,0.30636019 +-6.7807321,1,1.0337943,1,1,0,6.8257524,0.28284184 +-6.8957252,0.9663882,1.0337943,1,1,0,6.8961531,0.32165616 +-6.7481598,1,1.0337943,1,3,0,6.8750148,0.25208075 +-7.3566725,0.84890442,1.0337943,1,3,0,7.5820223,0.13137659 +-7.242731,1,1.0337943,1,1,0,7.4058522,0.14119775 +-8.1189338,0.88326697,1.0337943,1,3,0,8.1241249,0.088056141 +-7.4122578,0.9777675,1.0337943,2,3,0,8.6443154,0.12706194 +-6.7484704,0.97600022,1.0337943,1,3,0,7.486633,0.25375704 +-7.2026441,0.88435829,1.0337943,1,3,0,7.367568,0.14503 +-7.6857261,0.97487126,1.0337943,2,3,0,7.6918469,0.10912604 +-7.1480154,1,1.0337943,1,1,0,7.5972192,0.15064227 +-7.4309361,0.95256308,1.0337943,1,1,0,7.4528818,0.12567206 +-7.3820542,1,1.0337943,1,1,0,7.5318153,0.12937201 +-7.0532106,1,1.0337943,1,1,0,7.3298842,0.16173073 +-7.0532106,0.91795311,1.0337943,1,1,0,7.4496628,0.16173073 +-9.4627924,0.61656213,1.0337943,1,3,0,10.575095,0.58129523 +-7.5684859,1,1.0337943,1,1,0,8.9032302,0.42743105 +-6.9407164,1,1.0337943,2,3,0,7.3716293,0.33237148 +-6.7563657,1,1.0337943,1,3,0,6.8944279,0.26637464 +-7.9878346,0.79903558,1.0337943,2,3,0,8.0286324,0.093727207 +-7.4854308,1,1.0337943,1,1,0,7.9421398,0.12177374 +-6.7499624,0.90095844,1.0337943,2,3,0,8.5274357,0.24226697 +-6.8400161,0.9759825,1.0337943,1,3,0,6.8674896,0.30598599 +-6.771446,1,1.0337943,1,1,0,6.8205124,0.27768304 +-6.7854995,0.99595785,1.0337943,1,1,0,6.7897012,0.28521603 +-6.7854995,0.83030199,1.0337943,1,3,0,7.5430123,0.28521603 +-6.9301834,0.90950234,1.0337943,2,3,0,7.2973492,0.18004752 +-6.9301834,0.91707665,1.0337943,1,3,0,7.4121525,0.18004752 +-7.4201004,0.92812749,1.0337943,1,3,0,7.4244206,0.12647487 +-6.7628952,0.95913505,1.0337943,1,3,0,7.5868551,0.27196056 +-6.9061497,0.9684051,1.0337943,1,3,0,6.9077164,0.32425971 +-7.1308002,0.93042536,1.0337943,1,1,0,7.1522102,0.36832651 +-7.5746611,0.65099229,1.0337943,1,3,0,8.8711064,0.11584191 +-7.5667498,1,1.0337943,1,1,0,7.7235948,0.11634714 +-6.8465561,1,1.0337943,2,3,0,7.3776747,0.30802013 +-7.1301115,0.9145114,1.0337943,1,1,0,7.1349342,0.36821361 +-6.7495787,1,1.0337943,1,3,0,7.0581257,0.2570183 +-6.9344883,0.95586279,1.0337943,1,3,0,6.9513789,0.33096278 +-6.7574005,0.96977661,1.0337943,2,3,0,7.113276,0.2673745 +-7.9557844,0.55054685,1.0337943,2,3,0,9.5521449,0.4678017 +-8.3187808,0.87875614,1.0337943,1,1,0,8.6775687,0.50008454 +-8.1932634,1,1.0337943,1,1,0,8.7470563,0.48940166 +-6.7862002,1,1.0337943,1,3,0,8.1722321,0.2165642 +-6.9629079,0.94757013,1.0337943,1,3,0,7.1001884,0.33722835 +-6.9256527,0.79301276,1.0337943,2,3,0,7.9850941,0.32892657 +-6.9371094,0.92550103,1.0337943,1,3,0,7.3260932,0.17884301 # -# Elapsed Time: 0.011222 seconds (Warm-up) -# 0.025649 seconds (Sampling) -# 0.036871 seconds (Total) +# Elapsed Time: 0.001 seconds (Warm-up) +# 0 seconds (Sampling) +# 0.001 seconds (Total) # diff --git a/test/data/runset-bad/bad-hdr-bern-3_config.json b/test/data/runset-bad/bad-hdr-bern-3_config.json new file mode 100644 index 00000000..fa5c0007 --- /dev/null +++ b/test/data/runset-bad/bad-hdr-bern-3_config.json @@ -0,0 +1,66 @@ + +{ + "stan_major_version" : "2", + "stan_minor_version" : "37", + "stan_patch_version" : "0", + "model_name" : "bernoulli_model", + "start_datetime" : "2026-07-20 16:58:36 UTC", + "method" : { + "value" : "sample", + "sample" : { + "num_samples" : 100, + "num_warmup" : 1000, + "save_warmup" : false, + "thin" : 1, + "adapt" : { + "engaged" : true, + "gamma" : 0.05, + "delta" : 0.8, + "kappa" : 0.75, + "t0" : 10, + "init_buffer" : 75, + "term_buffer" : 50, + "window" : 25, + "save_metric" : true + }, + "algorithm" : { + "value" : "hmc", + "hmc" : { + "engine" : { + "value" : "nuts", + "nuts" : { + "max_depth" : 10 + } + }, + "metric" : { + "value" : "diag_e" + }, + "metric_file" : "", + "stepsize" : 1, + "stepsize_jitter" : 0 + } + }, + "num_chains" : 1 + } + }, + "id" : 3, + "data" : { + "file" : "test\/data\/bernoulli.data.json" + }, + "init" : "2", + "random" : { + "seed" : 12345 + }, + "output" : { + "file" : "\/tmp\/tmpuisjazeu\/bernoullik799pfr2\/bernoulli-20260720125836_3.csv", + "diagnostic_file" : "", + "refresh" : 100, + "sig_figs" : 8, + "profile_file" : "profile.csv", + "save_cmdstan_config" : true + }, + "num_threads" : 1, + "mpi_enabled" : false, + "stanc_version" : "stanc3 v2.37.0", + "stancflags" : "--filename-in-msg=bernoulli.stan" +} diff --git a/test/data/runset-bad/bad-hdr-bern-4.csv b/test/data/runset-bad/bad-hdr-bern-4.csv index 86d3588d..e18984c1 100644 --- a/test/data/runset-bad/bad-hdr-bern-4.csv +++ b/test/data/runset-bad/bad-hdr-bern-4.csv @@ -1,22 +1,24 @@ # stan_version_major = 2 -# stan_version_minor = 19 -# stan_version_patch = 1 -# model = foo +# stan_version_minor = 37 +# stan_version_patch = 0 +# model = bernoulli_model +# start_datetime = 2026-07-20 16:58:36 UTC # method = sample (Default) # sample -# num_samples = 1000 (Default) +# num_samples = 100 # num_warmup = 1000 (Default) -# save_warmup = 0 (Default) +# save_warmup = false (Default) # thin = 1 (Default) # adapt -# engaged = 1 (Default) -# gamma = 0.050000000000000003 (Default) -# delta = 0.80000000000000004 (Default) +# engaged = true (Default) +# gamma = 0.05 (Default) +# delta = 0.8 (Default) # kappa = 0.75 (Default) # t0 = 10 (Default) # init_buffer = 75 (Default) # term_buffer = 50 (Default) # window = 25 (Default) +# save_metric = true # algorithm = hmc (Default) # hmc # engine = nuts (Default) @@ -26,1023 +28,130 @@ # metric_file = (Default) # stepsize = 1 (Default) # stepsize_jitter = 0 (Default) +# num_chains = 1 (Default) # id = 4 # data -# file = /Users/mitzi/github/stan-dev/cmdstanpy/test/files-data/bernoulli.data.R +# file = test/data/bernoulli.data.json # init = 2 (Default) # random -# seed = 73255 +# seed = 12345 # output -# file = /Users/mitzi/github/stan-dev/cmdstanpy/test/files-tmp/bernoulli.output-4.csv +# file = /tmp/tmpuisjazeu/bernoullik799pfr2/bernoulli-20260720125836_4.csv # diagnostic_file = (Default) # refresh = 100 (Default) +# sig_figs = 8 (Default) +# profile_file = profile.csv (Default) +# save_cmdstan_config = true +# num_threads = 1 (Default) +# stanc_version = stanc3 v2.37.0 +# stancflags = --filename-in-msg=bernoulli.stan lp__,accept_stat__,stepsize__,treedepth__,n_leapfrog__,divergent__,energy__,theta # Adaptation terminated -# Step size = 0.730383 +# Step size = 1.14675 # Diagonal elements of inverse mass matrix: -# 0.508248 --7.00518,1,0.730383,2,3,0,7.26237,0.345882 --6.76715,0.968283,0.730383,1,3,0,7.334,0.226096 --7.44199,0.932693,0.730383,2,3,0,7.44227,0.124863 --7.66206,0.993806,0.730383,2,3,0,7.67649,0.110501 --7.02095,1,0.730383,2,3,0,7.67955,0.166007 --6.83799,0.9991,0.730383,3,7,0,7.03648,0.199633 --6.92712,0.995927,0.730383,3,7,0,6.92835,0.329269 --7.01447,0.868171,0.730383,1,3,0,8.0826,0.166904 --7.08411,0.992302,0.730383,1,1,0,7.097,0.157897 --7.20912,0.984279,0.730383,2,3,0,7.39679,0.144396 --7.18256,0.999767,0.730383,3,7,0,7.25833,0.376561 --6.87017,0.903807,0.730383,1,3,0,8.16906,0.191854 --7.25136,0.922572,0.730383,2,3,0,7.73273,0.140401 --8.3839,0.928195,0.730383,2,3,0,8.47644,0.0780045 --8.23755,0.996888,0.730383,3,7,0,8.46572,0.493224 --8.15306,1,0.730383,1,1,0,8.46779,0.485879 --8.66376,0.96714,0.730383,2,3,0,8.81383,0.527311 --9.32671,0.87504,0.730383,1,1,0,9.54129,0.572834 --8.12332,1,0.730383,3,7,0,9.14795,0.0878751 --7.78358,1,0.730383,1,1,0,8.11094,0.103727 --6.76015,0.987968,0.730383,3,7,0,7.94359,0.230881 --10.0111,0.792715,0.730383,2,3,0,10.0773,0.612943 --8.58179,1,0.730383,3,7,0,9.81054,0.521099 --8.28906,1,0.730383,1,1,0,8.74429,0.497596 --8.04581,1,0.730383,1,1,0,8.42521,0.476223 --7.75267,1,0.730383,3,7,0,8.10437,0.447575 --7.9329,0.964291,0.730383,1,1,0,8.07547,0.465611 --8.66887,0.861192,0.730383,1,1,0,8.74493,0.527694 --6.75192,1,0.730383,2,3,0,8.45384,0.261148 --6.95292,0.945577,0.730383,1,3,0,7.22245,0.176189 --6.90664,0.995574,0.730383,3,7,0,7.03833,0.324381 --7.23521,0.785803,0.730383,1,3,0,8.69605,0.1419 --6.88181,0.951099,0.730383,3,7,0,8.08779,0.318043 --6.78393,0.997714,0.730383,3,7,0,6.9121,0.284453 --6.77787,0.983775,0.730383,1,3,0,6.93623,0.22032 --6.88135,0.965692,0.730383,1,3,0,7.1618,0.317922 --6.786,0.804613,0.730383,3,7,0,8.77746,0.216647 --6.74946,0.996118,0.730383,1,3,0,6.83183,0.256735 --6.83399,0.991634,0.730383,2,3,0,6.83742,0.304053 --7.85599,0.888141,0.730383,2,3,0,8.08549,0.458092 --7.89547,0.998865,0.730383,3,7,0,8.09531,0.461983 --8.57896,0.798699,0.730383,2,5,0,9.80558,0.0715894 --8.55767,1,0.730383,1,1,0,8.72266,0.0722543 --6.78525,0.9882,0.730383,3,7,0,8.69854,0.285096 --6.81916,0.993618,0.730383,2,3,0,6.86074,0.299 --7.05549,0.881614,0.730383,1,3,0,7.83805,0.16144 --6.96485,1,0.730383,1,1,0,7.05015,0.174267 --6.97113,0.928163,0.730383,1,3,0,7.98934,0.338969 --6.79315,0.956791,0.730383,1,3,0,7.40407,0.213759 --6.81335,0.981571,0.730383,2,3,0,6.99787,0.206731 --7.82439,0.871177,0.730383,2,5,0,8.47377,0.1016 --7.02383,0.829058,0.730383,1,3,0,10.62,0.349491 --7.14269,0.978017,0.730383,1,1,0,7.1632,0.370262 --6.91929,0.878673,0.730383,1,3,0,8.28686,0.181998 --6.74814,0.989824,0.730383,1,3,0,7.06035,0.251951 --7.40478,0.942941,0.730383,3,7,0,7.42046,0.407627 --7.28656,0.675472,0.730383,1,3,0,10.3134,0.137247 --7.32594,0.998057,0.730383,3,7,0,7.37111,0.133887 --8.65439,0.917907,0.730383,2,3,0,8.73883,0.0692972 --8.53219,1,0.730383,2,3,0,8.75141,0.0730611 --8.01693,1,0.730383,1,1,0,8.50137,0.0924229 --8.22746,0.995424,0.730383,2,3,0,8.27596,0.0837305 --8.06125,1,0.730383,1,1,0,8.28011,0.0904875 --8.48099,0.974006,0.730383,1,1,0,8.49177,0.0747188 --8.35344,1,0.730383,1,1,0,8.56594,0.0790758 --7.2577,0.968115,0.730383,2,5,0,8.76898,0.387747 --7.19273,1,0.730383,2,3,0,7.30721,0.378124 --7.08157,0.793076,0.730383,1,3,0,9.01833,0.158204 --6.93853,1,0.730383,1,1,0,7.06506,0.1786 --6.7482,0.9903,0.730383,1,3,0,7.07111,0.247637 --7.37307,0.928154,0.730383,3,7,0,7.57809,0.130075 --7.2127,1,0.730383,1,1,0,7.36842,0.144048 --6.96423,0.965997,0.730383,2,3,0,7.77912,0.174366 --6.88429,0.942797,0.730383,1,3,0,7.74579,0.318702 --6.75213,0.951353,0.730383,2,3,0,7.34079,0.261441 --7.11978,0.902777,0.730383,1,3,0,7.60028,0.153746 --7.27024,0.984712,0.730383,1,1,0,7.27697,0.138691 --7.59284,0.987678,0.730383,3,7,0,7.59347,0.114695 --7.74858,0.987611,0.730383,1,1,0,7.78583,0.105607 --6.99241,1,0.730383,2,3,0,7.73131,0.170063 --6.74911,0.983026,0.730383,1,3,0,7.22513,0.255864 --6.74887,0.999563,0.730383,1,3,0,6.75351,0.244886 --6.97472,0.955253,0.730383,1,3,0,7.15729,0.172726 --7.78872,0.948253,0.730383,3,7,0,7.87399,0.103455 --7.46181,1,0.730383,2,3,0,7.76432,0.123436 --7.36668,0.998168,0.730383,3,7,0,7.49011,0.130579 --8.59328,0.86204,0.730383,2,3,0,9.52522,0.0711464 --6.80062,0.922246,0.730383,1,3,0,9.98324,0.210988 --7.00864,0.982324,0.730383,3,7,0,7.05675,0.346559 --6.95651,0.982351,0.730383,3,7,0,7.23522,0.335852 --6.88395,0.914551,0.730383,1,3,0,7.72669,0.188888 --6.9325,0.998021,0.730383,2,3,0,6.93766,0.179642 --6.87668,1,0.730383,1,1,0,6.92901,0.190431 --6.84399,0.95956,0.730383,1,3,0,7.38375,0.307228 --6.77862,0.999029,0.730383,3,7,0,6.85804,0.28174 --7.10663,0.881181,0.730383,1,3,0,7.77951,0.155245 --7.27257,0.983059,0.730383,1,1,0,7.27673,0.138483 --7.16393,1,0.730383,1,1,0,7.27874,0.148957 --7.19262,0.999023,0.730383,2,3,0,7.23183,0.146024 --6.77643,0.998214,0.730383,3,7,0,7.19759,0.280555 --6.76498,1,0.730383,2,7,0,6.77467,0.227463 --6.7654,0.998316,0.730383,3,7,0,6.78902,0.273769 --8.13187,0.875761,0.730383,2,3,0,8.25126,0.484002 --7.41507,1,0.730383,1,1,0,7.99941,0.408936 --7.11551,1,0.730383,1,1,0,7.36838,0.365798 --6.82757,0.928705,0.730383,1,3,0,7.84636,0.202481 --6.79301,0.976376,0.730383,1,3,0,7.09719,0.288682 --6.89682,0.939439,0.730383,1,3,0,7.30239,0.186269 --6.86808,0.950693,0.730383,1,3,0,7.50949,0.314305 --6.89344,0.99554,0.730383,1,1,0,6.90657,0.321074 --6.94753,0.997076,0.730383,3,7,0,6.95883,0.333889 --6.7586,0.980423,0.730383,1,3,0,7.17757,0.232119 --6.75178,0.997352,0.730383,1,3,0,6.78666,0.260946 --7.27301,0.865065,0.730383,1,3,0,7.94966,0.138444 --6.75405,0.997924,0.730383,2,7,0,7.20265,0.236444 --7.17779,0.919924,0.730383,1,3,0,7.49567,0.147523 --7.40472,0.978011,0.730383,1,1,0,7.40651,0.127631 --7.34117,1,0.730383,1,1,0,7.44311,0.132631 --6.82156,0.998955,0.730383,3,7,0,7.30328,0.29985 --6.77862,0.939425,0.730383,3,7,0,7.37671,0.281737 --6.83886,0.963053,0.730383,1,3,0,7.09387,0.199402 --6.74964,0.992052,0.730383,1,3,0,6.93564,0.257155 --6.96049,0.911372,0.730383,2,3,0,7.66201,0.33671 --6.76628,0.86882,0.730383,2,3,0,8.19985,0.274379 --7.29476,0.947178,0.730383,2,3,0,7.35033,0.392984 --7.55239,0.963016,0.730383,3,7,0,7.82696,0.117274 --7.119,0.993573,0.730383,3,7,0,7.68698,0.153835 --6.83325,0.977627,0.730383,2,3,0,7.47204,0.200904 --6.78538,0.999849,0.730383,3,7,0,6.82644,0.285159 --6.814,0.998407,0.730383,2,3,0,6.81464,0.297128 --6.77423,0.950451,0.730383,2,3,0,7.27621,0.279319 --6.91123,0.93096,0.730383,3,7,0,7.45697,0.183491 --7.98428,0.910061,0.730383,2,3,0,8.00192,0.0938884 --7.65256,1,0.730383,1,1,0,7.96732,0.111061 --7.90541,0.989252,0.730383,3,7,0,7.94759,0.0975761 --6.7793,0.985994,0.730383,3,7,0,8.11065,0.219636 --9.96919,0.440056,0.730383,1,3,0,14.3895,0.0408457 --10.3669,0.988145,0.730383,1,1,0,10.4357,0.0351444 --6.9631,0.944402,0.730383,3,7,0,13.1378,0.174545 --8.65552,0.782432,0.730383,1,3,0,9.69364,0.0692635 --8.8744,0.940235,0.730383,2,3,0,10.6264,0.0631346 --8.40475,1,0.730383,1,1,0,8.86282,0.0772827 --7.81446,0.943889,0.730383,2,5,0,9.33022,0.453925 --7.25119,0.941197,0.730383,2,3,0,8.50505,0.38681 --7.52824,0.590604,0.730383,2,5,0,10.7863,0.118862 --7.48393,1,0.730383,2,3,0,7.58743,0.121878 --6.92804,1,0.730383,2,3,0,7.48086,0.180426 --6.86516,0.949881,0.730383,1,3,0,7.58856,0.313487 --6.76968,0.978633,0.730383,1,3,0,7.08555,0.224602 --8.14391,0.874158,0.730383,3,7,0,8.48146,0.0870328 --8.08902,1,0.730383,1,1,0,8.24377,0.0893051 --7.87006,1,0.730383,1,1,0,8.1121,0.0993011 --7.53028,0.992775,0.730383,2,3,0,8.15442,0.118726 --7.81825,0.992322,0.730383,2,3,0,7.82712,0.101916 --6.85324,0.987473,0.730383,1,3,0,8.19012,0.195777 --6.91638,0.997368,0.730383,2,3,0,6.91739,0.182533 --6.8581,0.992582,0.730383,3,7,0,7.0471,0.311464 --6.81361,1,0.730383,1,1,0,6.8523,0.296983 --6.87343,0.989762,0.730383,1,1,0,6.87406,0.315785 --6.92383,0.9911,0.730383,1,1,0,6.93273,0.328502 --6.99521,0.987148,0.730383,1,1,0,7.00814,0.343904 --6.75084,0.95791,0.730383,3,7,0,7.4192,0.240697 --6.94629,0.964972,0.730383,1,3,0,7.07844,0.177286 --6.8053,0.98049,0.730383,2,3,0,7.21276,0.209366 --8.08595,0.7903,0.730383,1,3,0,9.07031,0.0894346 --7.00856,0.996052,0.730383,3,7,0,8.01458,0.167734 --7.15367,0.984177,0.730383,1,1,0,7.15534,0.150038 --7.31843,0.983633,0.730383,1,1,0,7.32519,0.134515 --7.4446,0.988446,0.730383,1,1,0,7.46967,0.124673 --7.46593,0.998118,0.730383,1,1,0,7.5341,0.123143 --6.74849,0.964118,0.730383,1,3,0,8.08112,0.246168 --6.84101,0.981461,0.730383,1,3,0,6.92241,0.306299 --7.42381,0.923117,0.730383,3,7,0,7.64804,0.41004 --6.87095,0.893497,0.730383,1,3,0,8.64369,0.191682 --6.85624,1,0.730383,1,1,0,6.87897,0.195058 --6.84818,0.996524,0.730383,2,3,0,6.92876,0.197021 --7.07555,0.926846,0.730383,1,3,0,7.84958,0.358951 --7.37008,0.982898,0.730383,3,7,0,7.37524,0.403141 --8.28568,0.833044,0.730383,1,1,0,8.28647,0.497312 --7.41146,1,0.730383,1,1,0,8.11422,0.408479 --6.92149,0.960074,0.730383,3,7,0,7.91408,0.181598 --6.97054,0.994179,0.730383,1,1,0,6.97914,0.173374 --6.76307,0.973098,0.730383,1,3,0,7.30464,0.272089 --6.81216,0.976679,0.730383,1,3,0,6.96578,0.207107 --6.79446,0.98457,0.730383,2,3,0,6.99538,0.213255 --6.92098,0.988188,0.730383,2,3,0,6.9503,0.181691 --6.8593,1,0.730383,1,1,0,6.91475,0.194335 --6.74825,0.995492,0.730383,1,3,0,6.92953,0.247332 --7.66444,0.798064,0.730383,1,3,0,8.69349,0.110362 --7.46918,1,0.730383,1,1,0,7.66838,0.122913 --9.66284,0.887276,0.730383,3,7,0,10.1183,0.04597 --10.4877,0.973746,0.730383,1,1,0,10.4889,0.0335949 --6.94218,0.98026,0.730383,3,7,0,10.8266,0.3327 --7.04515,0.98135,0.730383,1,1,0,7.05583,0.353481 --7.27661,0.734786,0.730383,1,3,0,9.29119,0.138124 --6.76639,0.979339,0.730383,1,3,0,7.52478,0.226567 --6.76639,0.819289,0.730383,1,3,0,8.50173,0.226567 --7.36495,0.895032,0.730383,1,3,0,7.77719,0.130716 --7.2193,0.997836,0.730383,3,7,0,7.36324,0.143411 --7.09778,1,0.730383,1,1,0,7.21629,0.156274 --7.06122,1,0.730383,1,1,0,7.12,0.160714 --6.75136,0.98929,0.730383,1,3,0,7.2425,0.239884 --6.75201,0.998325,0.730383,1,3,0,6.76886,0.261267 --6.91966,0.953643,0.730383,1,3,0,7.14971,0.18193 --7.04649,0.985207,0.730383,1,1,0,7.04657,0.162597 --6.99425,0.993947,0.730383,2,3,0,7.19465,0.169792 --6.77162,0.966997,0.730383,1,3,0,7.40584,0.27779 --6.99454,0.91981,0.730383,1,3,0,7.45817,0.16975 --7.40424,0.971811,0.730383,3,7,0,7.51456,0.127667 --7.43316,0.997403,0.730383,1,1,0,7.49491,0.125509 --7.22584,0.993101,0.730383,2,3,0,7.64604,0.142786 --6.88964,0.972901,0.730383,2,3,0,7.68234,0.187712 --7.03264,0.926067,0.730383,1,3,0,7.90156,0.351155 --6.98422,0.862816,0.730383,1,3,0,8.26862,0.171281 --7.00212,0.921828,0.730383,1,3,0,8.12906,0.345279 --7.08757,0.984269,0.730383,1,1,0,7.11054,0.361048 --7.10475,0.999166,0.730383,3,7,0,7.15975,0.363988 --7.41686,0.980636,0.730383,2,3,0,7.42545,0.409162 --7.40718,0.926438,0.730383,3,7,0,8.28853,0.407934 --6.87998,0.986733,0.730383,2,3,0,7.55029,0.317558 --6.82038,0.953525,0.730383,1,3,0,7.31721,0.204571 --6.79197,0.993613,0.730383,3,7,0,6.91096,0.28822 --6.97554,0.914195,0.730383,1,3,0,7.50803,0.1726 --7.04059,0.99261,0.730383,1,1,0,7.05093,0.163368 --6.85386,0.998437,0.730383,2,3,0,7.07707,0.19563 --7.13651,0.980032,0.730383,3,7,0,7.17813,0.151889 --6.75846,0.963999,0.730383,1,3,0,7.62882,0.268347 --6.89747,0.95459,0.730383,1,3,0,7.14772,0.186141 --6.83034,1,0.730383,2,3,0,6.88889,0.201705 --6.75238,0.990454,0.730383,1,3,0,6.94097,0.261786 --6.74963,0.998847,0.730383,1,3,0,6.76405,0.242946 --7.7198,0.795537,0.730383,1,3,0,8.75938,0.107195 --6.81116,0.970865,0.730383,2,5,0,8.13877,0.207428 --6.94423,0.951134,0.730383,1,3,0,7.42631,0.333158 --6.91084,0.98587,0.730383,2,3,0,7.13062,0.325405 --6.76606,0.999954,0.730383,2,3,0,6.91532,0.274226 --6.76197,1,0.730383,1,1,0,6.7665,0.271257 --6.76963,0.996016,0.730383,3,7,0,6.80677,0.224632 --6.75223,0.977521,0.730383,3,7,0,7.01794,0.261577 --6.75657,0.999314,0.730383,1,1,0,6.75658,0.266581 --6.76479,0.993026,0.730383,1,3,0,6.82028,0.227591 --6.81681,0.980653,0.730383,1,3,0,6.96927,0.298155 --6.92432,0.922969,0.730383,1,3,0,7.46363,0.181089 --8.13391,0.833439,0.730383,1,3,0,10.2246,0.484184 --8.48071,0.97731,0.730383,2,3,0,8.66024,0.513226 --8.21184,0.989625,0.730383,3,7,0,9.09316,0.491012 --6.75109,1,0.730383,3,7,0,8.14208,0.240301 --6.94669,0.963416,0.730383,2,3,0,7.08633,0.177219 --6.91328,1,0.730383,2,3,0,6.95405,0.183106 --6.75639,0.981411,0.730383,1,3,0,7.13953,0.266402 --7.12451,0.895262,0.730383,1,3,0,7.66065,0.153216 --7.05939,1,0.730383,2,3,0,7.13558,0.160945 --6.77274,0.961238,0.730383,1,3,0,7.55858,0.278454 --6.7915,0.996915,0.730383,1,1,0,6.7919,0.288007 --6.75373,0.990729,0.730383,3,7,0,6.8864,0.263512 --7.27374,0.930735,0.730383,2,3,0,7.50331,0.390035 --7.38864,0.994265,0.730383,3,7,0,7.454,0.405555 --7.08362,1,0.730383,1,1,0,7.33738,0.360363 --6.86016,1,0.730383,3,7,0,7.06896,0.194135 --7.57968,0.888854,0.730383,2,3,0,8.07781,0.115524 --6.76075,0.961819,0.730383,1,3,0,8.12918,0.230416 --6.81572,0.982089,0.730383,1,3,0,6.95043,0.297759 --6.84447,0.952418,0.730383,1,3,0,7.22872,0.197954 --6.81018,1,0.730383,1,1,0,6.84101,0.207745 --6.7983,1,0.730383,2,3,0,6.81217,0.211825 --7.06129,0.932549,0.730383,1,3,0,7.61891,0.356415 --6.96695,0.979113,0.730383,2,3,0,7.32298,0.338087 --6.85946,1,0.730383,1,1,0,6.94892,0.311856 --6.8879,0.995016,0.730383,1,1,0,6.89891,0.319647 --6.81171,0.956833,0.730383,1,3,0,7.30395,0.20725 --6.85331,0.994541,0.730383,1,1,0,6.85383,0.195761 --6.82471,0.965457,0.730383,1,3,0,7.26265,0.300942 --6.76171,0.985577,0.730383,1,3,0,6.96761,0.229707 --7.25913,0.950033,0.730383,2,3,0,7.26007,0.139692 --7.36307,0.99671,0.730383,2,3,0,7.38889,0.130866 --7.11673,1,0.730383,1,1,0,7.33811,0.154091 --6.98746,1,0.730383,1,1,0,7.10431,0.170796 --6.86681,0.997509,0.730383,3,7,0,7.03174,0.192607 --6.74812,0.994692,0.730383,1,3,0,6.9465,0.248235 --7.33995,0.869699,0.730383,1,3,0,7.9565,0.13273 --7.12087,0.948428,0.730383,3,7,0,8.39384,0.153624 --7.12906,0.998754,0.730383,3,7,0,7.12965,0.368041 --7.03063,1,0.730383,1,1,0,7.13591,0.350778 --6.99319,1,0.730383,2,3,0,7.05578,0.343498 --6.87126,0.69085,0.730383,2,3,0,10.2463,0.31519 --6.80697,1,0.730383,1,1,0,6.86037,0.294462 --7.02512,0.744239,0.730383,2,3,0,9.59382,0.349735 --7.33664,0.935081,0.730383,2,3,0,7.74345,0.398706 --8.12963,0.854146,0.730383,1,1,0,8.1318,0.483803 --8.3104,1,0.730383,3,7,0,8.39189,0.0806245 --7.43298,0.968787,0.730383,2,3,0,9.2438,0.125522 --7.46069,0.959129,0.730383,3,7,0,8.55805,0.123515 --6.83172,0.924239,0.730383,1,3,0,8.83106,0.303305 --6.83172,0.991807,0.730383,1,1,0,6.87444,0.303305 --7.08528,0.964867,0.730383,2,3,0,7.2112,0.360651 --6.77199,0.961576,0.730383,3,7,0,7.50725,0.223321 --6.78746,0.987615,0.730383,2,3,0,6.90307,0.216034 --6.75709,0.9922,0.730383,1,3,0,6.87387,0.267077 --6.81779,0.962652,0.730383,2,3,0,7.11011,0.298509 --7.20012,0.831326,0.730383,1,3,0,8.23014,0.145279 --7.25461,0.998196,0.730383,2,3,0,7.28896,0.140103 --6.8398,0.978825,0.730383,2,3,0,7.62794,0.199156 --6.80948,0.999824,0.730383,3,7,0,6.83727,0.207974 --6.80752,1,0.730383,1,1,0,6.81687,0.20862 --6.97395,0.94622,0.730383,1,3,0,7.47705,0.339559 --6.89151,1,0.730383,1,1,0,6.96577,0.320578 --6.7938,0.86544,0.730383,2,3,0,8.17123,0.289031 --6.77384,0.974153,0.730383,3,7,0,7.04075,0.279093 --6.89745,0.985431,0.730383,2,3,0,6.93381,0.322094 --6.79337,0.963946,0.730383,1,3,0,7.25378,0.213674 --7.13174,0.950296,0.730383,3,7,0,7.45579,0.152413 --7.22919,0.954411,0.730383,3,7,0,8.0236,0.142468 --7.17998,0.99153,0.730383,2,3,0,7.47049,0.1473 --7.79043,0.962605,0.730383,3,7,0,8.02346,0.451477 --6.76513,1,0.730383,3,7,0,7.70751,0.273582 --7.36555,0.940517,0.730383,3,7,0,7.42209,0.402548 --6.83725,0.913357,0.730383,1,3,0,8.36735,0.19983 --6.88439,0.969114,0.730383,2,3,0,7.19829,0.188796 --6.74835,0.947108,0.730383,3,7,0,7.60329,0.253214 --6.95648,0.951423,0.730383,1,3,0,7.17449,0.175609 --6.76,0.998117,0.730383,3,7,0,6.9747,0.269671 --8.31347,0.857836,0.730383,3,7,0,8.43096,0.499642 --7.7581,1,0.730383,2,3,0,8.27433,0.44814 --7.30413,1,0.730383,1,1,0,7.68738,0.394281 --7.32407,0.99613,0.730383,1,1,0,7.41972,0.397009 --7.73575,0.910172,0.730383,2,5,0,8.29708,0.10631 --8.03122,0.975568,0.730383,3,7,0,8.41869,0.0917924 --8.06544,0.997699,0.730383,1,1,0,8.1733,0.0903076 --7.2967,0.998645,0.730383,2,3,0,8.15167,0.136366 --7.61294,0.97167,0.730383,1,1,0,7.6132,0.11345 --7.19627,0.98331,0.730383,3,7,0,7.93831,0.378665 --6.83377,0.99274,0.730383,2,3,0,7.27754,0.303978 --6.76826,0.945936,0.730383,2,3,0,7.33623,0.275692 --6.7494,0.997459,0.730383,3,7,0,6.79648,0.256606 --6.76997,0.997387,0.730383,3,7,0,6.77797,0.224438 --7.07526,0.872893,0.730383,3,7,0,8.38433,0.158972 --6.77435,0.999173,0.730383,3,7,0,7.03946,0.222072 --6.98884,0.983215,0.730383,3,7,0,7.00181,0.17059 --7.0995,0.995895,0.730383,2,3,0,7.10349,0.156072 --6.74803,0.980882,0.730383,1,3,0,7.38368,0.249451 --6.79719,0.987229,0.730383,2,3,0,6.86988,0.290494 --6.74837,0.996676,0.730383,1,3,0,6.83596,0.246702 --6.84351,0.981537,0.730383,1,3,0,6.91511,0.198197 --6.96311,0.943152,0.730383,1,3,0,7.58379,0.33727 --6.8417,0.934699,0.730383,1,3,0,7.58688,0.198664 --6.80472,1,0.730383,1,1,0,6.83728,0.209562 --6.84086,0.995212,0.730383,1,1,0,6.84142,0.198881 --6.89179,0.993534,0.730383,1,1,0,6.89319,0.187276 --8.35965,0.87399,0.730383,2,3,0,8.3612,0.0788559 --7.1828,1,0.730383,2,3,0,8.32175,0.147013 --6.89829,0.998591,0.730383,2,3,0,7.22257,0.185979 --8.46135,0.833259,0.730383,2,5,0,9.48921,0.0753682 --9.06855,0.970907,0.730383,2,3,0,9.53243,0.0582647 --9.26438,0.991587,0.730383,1,1,0,9.36624,0.0538167 --7.00442,0.990765,0.730383,3,7,0,8.94563,0.345733 --7.17222,0.954237,0.730383,3,7,0,7.51771,0.374953 --7.17806,0.999629,0.730383,2,3,0,7.25247,0.375864 --7.02139,1,0.730383,3,7,0,7.16317,0.349024 --6.89439,0.986259,0.730383,2,3,0,7.18853,0.321316 --7.02325,0.992346,0.730383,2,3,0,7.0256,0.349379 --6.91814,1,0.730383,1,1,0,7.01135,0.327159 --6.85841,0.931938,0.730383,1,3,0,7.54343,0.194544 --6.90692,0.966086,0.730383,2,3,0,7.26726,0.184306 --7.14794,0.978604,0.730383,2,3,0,7.23132,0.15065 --7.16698,0.949612,0.730383,2,3,0,7.96872,0.148639 --10.6393,0.788363,0.730383,2,5,0,10.7414,0.645148 --8.02954,1,0.730383,3,7,0,10.9486,0.091866 --7.20334,0.970871,0.730383,2,3,0,8.79746,0.144961 --6.88766,0.912752,0.730383,3,7,0,8.91611,0.188118 --6.77651,0.966732,0.730383,3,7,0,7.3367,0.280596 --6.7952,0.95787,0.730383,2,3,0,7.17396,0.289641 --6.79401,0.975641,0.730383,1,3,0,7.01706,0.213425 --9.97602,0.816459,0.730383,2,3,0,9.99539,0.611025 --8.03019,1,0.730383,1,1,0,9.58513,0.474783 --8.04739,0.996517,0.730383,1,1,0,8.28891,0.476368 --6.83189,0.820307,0.730383,2,3,0,10.3097,0.201276 --6.76189,0.985563,0.730383,1,3,0,6.99467,0.271193 --6.75034,0.997541,0.730383,1,3,0,6.78744,0.241557 --7.04799,0.943249,0.730383,1,3,0,7.27882,0.162403 --6.85533,0.941674,0.730383,1,3,0,7.8781,0.310653 --6.75546,0.987671,0.730383,1,3,0,6.99309,0.234964 --6.81243,0.983516,0.730383,1,3,0,6.91951,0.296545 --6.88517,0.995852,0.730383,2,3,0,6.88526,0.318931 --7.74524,0.767607,0.730383,3,7,0,9.2531,0.446799 --8.77087,0.812381,0.730383,1,1,0,8.79289,0.535214 --8.77087,0.795286,0.730383,1,1,0,9.83992,0.535214 --7.58283,1,0.730383,1,1,0,8.53362,0.429072 --7.20994,0.655351,0.730383,2,5,0,10.4346,0.144316 --7.19385,0.99909,0.730383,3,7,0,7.26833,0.378295 --7.09722,0.965128,0.730383,2,3,0,7.6336,0.362709 --7.06916,1,0.730383,1,1,0,7.14045,0.357821 --6.92125,1,0.730383,1,1,0,7.04553,0.327894 --6.92898,0.999491,0.730383,3,7,0,6.95619,0.329699 --6.75114,0.977957,0.730383,2,3,0,7.17053,0.240217 --6.84587,0.897335,0.730383,3,7,0,7.89341,0.197597 --6.81331,1,0.730383,1,1,0,6.84309,0.206741 --7.05302,0.979197,0.730383,2,3,0,7.08659,0.161755 --6.7511,0.976396,0.730383,1,3,0,7.37709,0.259897 --6.8355,0.9915,0.730383,2,3,0,6.84125,0.304542 --6.8492,0.991313,0.730383,3,7,0,6.94783,0.196766 --6.80497,1,0.730383,1,1,0,6.84346,0.209477 --6.77279,0.985091,0.730383,1,3,0,6.9733,0.278481 --7.01721,0.973721,0.730383,2,3,0,7.06173,0.348223 --7.08305,0.984722,0.730383,3,7,0,7.24755,0.158025 --6.80636,0.946343,0.730383,1,3,0,7.77861,0.294223 --6.77128,0.99842,0.730383,2,3,0,6.82693,0.277581 --7.42604,0.934576,0.730383,2,3,0,7.50088,0.410321 --6.844,0.907458,0.730383,1,3,0,8.51281,0.198072 --6.88908,0.994285,0.730383,1,1,0,6.89138,0.187828 --6.80854,0.966222,0.730383,1,3,0,7.30716,0.29507 --6.79982,1,0.730383,1,1,0,6.81296,0.291592 --7.04089,0.890074,0.730383,1,3,0,7.71592,0.163328 --7.0387,1,0.730383,1,1,0,7.07622,0.163617 --6.80052,0.95221,0.730383,1,3,0,7.64616,0.291883 --6.78867,1,0.730383,2,3,0,6.80195,0.286714 --6.82389,0.994097,0.730383,1,1,0,6.82431,0.30066 --6.76612,0.983592,0.730383,1,3,0,6.98542,0.226734 --7.86433,0.875581,0.730383,3,7,0,8.41506,0.0995847 --7.69925,0.990186,0.730383,2,3,0,8.2623,0.108353 --7.59774,1,0.730383,1,1,0,7.744,0.11439 --6.79133,0.863404,0.730383,3,7,0,10.5281,0.287933 --6.93579,0.930309,0.730383,3,7,0,7.47821,0.17907 --6.9912,0.997836,0.730383,2,3,0,6.99985,0.170241 --6.93713,1,0.730383,1,1,0,6.9939,0.178839 --7.06032,0.985865,0.730383,2,3,0,7.17377,0.160827 --7.46217,0.981019,0.730383,3,7,0,7.48947,0.414809 --7.26501,1,0.730383,3,7,0,7.4708,0.388794 --6.92658,1,0.730383,3,7,0,7.26039,0.180686 --8.47438,0.793736,0.730383,1,3,0,9.4217,0.0749366 --8.28202,0.997743,0.730383,3,7,0,8.56126,0.497003 --8.80232,0.899743,0.730383,1,1,0,8.97438,0.53749 --9.46106,0.958749,0.730383,2,3,0,9.70186,0.581189 --6.7489,1,0.730383,2,3,0,9.10487,0.244775 --7.19708,0.907078,0.730383,1,3,0,7.60994,0.14558 --9.00703,0.815406,0.730383,1,3,0,9.85151,0.0597552 --9.62943,0.974197,0.730383,1,1,0,9.6379,0.0465731 --9.36548,0.991983,0.730383,2,3,0,10.34,0.051683 --7.38372,0.988886,0.730383,1,3,0,10.0319,0.129242 --8.15946,0.970852,0.730383,3,7,0,8.20741,0.486443 --7.29546,1,0.730383,1,1,0,7.9882,0.393082 --6.76199,0.891519,0.730383,2,3,0,8.43314,0.229506 --6.90794,0.963465,0.730383,1,3,0,7.14339,0.324698 --6.74901,0.954848,0.730383,3,7,0,7.34166,0.255594 --7.15884,0.962133,0.730383,2,3,0,7.17081,0.372846 --6.79631,0.953512,0.730383,3,7,0,7.67153,0.212559 --6.77899,0.984456,0.730383,1,3,0,6.97107,0.281935 --6.87188,0.9522,0.730383,1,3,0,7.18242,0.191477 --6.87832,0.953455,0.730383,1,3,0,7.46533,0.317111 --6.98649,0.888456,0.730383,1,3,0,7.84749,0.17094 --6.98992,0.999375,0.730383,3,7,0,6.99097,0.34284 --7.02201,0.998037,0.730383,2,3,0,7.05484,0.349144 --7.03049,0.998433,0.730383,1,1,0,7.07585,0.350752 --6.92895,1,0.730383,1,1,0,7.02105,0.329691 --6.75823,0.979521,0.730383,1,3,0,7.14248,0.232432 --6.75068,0.997803,0.730383,2,3,0,6.78182,0.240964 --8.35237,0.574506,0.730383,2,3,0,13.154,0.502867 --7.6529,1,0.730383,3,7,0,8.40784,0.111041 --7.35735,0.995629,0.730383,3,7,0,7.63277,0.131322 --7.75532,0.913902,0.730383,2,3,0,8.7762,0.105241 --6.81997,0.974417,0.730383,3,7,0,8.31078,0.204695 --6.88149,0.992042,0.730383,1,1,0,6.8815,0.189403 --6.85683,0.95494,0.730383,1,3,0,7.43411,0.311093 --6.83017,1,0.730383,3,7,0,6.85894,0.302792 --6.78748,0.974073,0.730383,1,3,0,7.08204,0.216028 --7.2004,0.917942,0.730383,1,3,0,7.83385,0.379293 --7.09752,1,0.730383,2,3,0,7.21677,0.36276 --7.61294,0.905532,0.730383,1,1,0,7.61299,0.432476 --8.0773,0.910737,0.730383,1,1,0,8.14014,0.479099 --7.56317,1,0.730383,1,1,0,8.02206,0.426819 --7.28838,1,0.730383,2,3,0,7.54748,0.392095 --7.562,0.982577,0.730383,2,3,0,7.6004,0.426684 --8.69343,0.93199,0.730383,2,3,0,8.69655,0.529525 --9.13224,0.915289,0.730383,1,1,0,9.39957,0.560262 --8.56433,1,0.730383,2,3,0,9.23264,0.519756 --6.76245,0.909018,0.730383,2,3,0,9.68166,0.229175 --6.76245,0.743785,0.730383,1,3,0,9.2772,0.229175 --7.619,0.935896,0.730383,3,7,0,7.62111,0.433155 --8.94437,0.76502,0.730383,1,1,0,8.94546,0.547533 --6.78022,1,0.730383,3,7,0,8.79676,0.282579 --7.12762,0.877362,0.730383,1,3,0,7.84237,0.152869 --6.89484,0.97079,0.730383,2,3,0,7.58625,0.186662 --6.77802,0.974332,0.730383,1,3,0,7.20876,0.281417 --7.07297,0.894013,0.730383,1,3,0,7.69061,0.159253 --7.07561,0.991971,0.730383,2,3,0,7.27981,0.158928 --6.81562,0.948858,0.730383,1,3,0,7.79952,0.297724 --6.75528,0.990408,0.730383,1,3,0,6.91811,0.235148 --7.01859,0.939144,0.730383,2,3,0,7.42556,0.348488 --7.33648,0.941796,0.730383,1,1,0,7.33784,0.398686 --7.60472,0.948504,0.730383,1,1,0,7.65188,0.431553 --7.6555,1,0.730383,3,7,0,7.71767,0.110888 --7.43075,1,0.730383,1,1,0,7.64933,0.125686 --7.2498,0.992573,0.730383,2,3,0,7.66159,0.140545 --7.1727,0.864879,0.730383,1,3,0,9.39065,0.375029 --6.80753,0.933877,0.730383,1,3,0,7.85949,0.208614 --6.95378,0.949687,0.730383,1,3,0,7.43366,0.335261 --6.85043,1,0.730383,1,1,0,6.93623,0.309194 --6.75264,0.989033,0.730383,1,3,0,6.96559,0.238116 --6.76504,0.998799,0.730383,3,7,0,6.76898,0.227423 --6.76504,0.882921,0.730383,1,3,0,7.78866,0.227423 --6.76581,0.993158,0.730383,2,3,0,6.83968,0.226931 --6.80198,0.99648,0.730383,3,7,0,6.81574,0.210509 --6.97701,0.94743,0.730383,1,3,0,7.46178,0.340195 --6.7967,0.954616,0.730383,1,3,0,7.43187,0.212412 --7.01451,0.942258,0.730383,1,3,0,7.51769,0.347702 --6.89562,1,0.730383,1,1,0,6.99631,0.32163 --6.94694,0.997753,0.730383,3,7,0,6.95298,0.333757 --7.51035,0.431108,0.730383,3,7,0,13.6696,0.420632 --7.78282,0.94703,0.730383,1,1,0,7.85969,0.450697 --9.52883,0.702178,0.730383,1,1,0,9.52885,0.585309 --9.35565,1,0.730383,3,7,0,9.65558,0.0518859 --6.88639,0.98196,0.730383,3,7,0,9.47893,0.319251 --6.81763,0.954066,0.730383,1,3,0,7.32225,0.205402 --6.86869,0.993362,0.730383,1,1,0,6.86891,0.192186 --6.77097,0.979139,0.730383,1,3,0,7.11812,0.277393 --6.75249,0.999831,0.730383,3,7,0,6.77314,0.26194 --6.76799,0.998757,0.730383,3,7,0,6.76866,0.22559 --7.00642,0.945067,0.730383,1,3,0,7.3649,0.346126 --6.87516,1,0.730383,3,7,0,6.98601,0.190758 --7.96131,0.852332,0.730383,1,3,0,8.5343,0.0949403 --7.06015,0.974851,0.730383,3,7,0,8.48402,0.356211 --6.75348,0.947778,0.730383,2,3,0,7.60309,0.237091 --6.99886,0.975089,0.730383,2,3,0,7.00018,0.169122 --6.99895,0.915668,0.730383,1,3,0,8.16522,0.34465 --6.97692,1,0.730383,1,1,0,7.02808,0.340177 --6.74819,1,0.730383,2,3,0,6.94399,0.252302 --6.86939,0.972416,0.730383,1,3,0,6.99044,0.192028 --6.74802,0.997543,0.730383,3,7,0,6.90226,0.249834 --6.81286,0.982296,0.730383,2,3,0,6.91807,0.296704 --7.0434,0.714658,0.730383,3,7,0,9.99622,0.163 --7.06461,0.997663,0.730383,1,1,0,7.09386,0.160288 --8.17974,0.899209,0.730383,3,7,0,8.89397,0.488222 --7.56732,1,0.730383,1,1,0,8.09356,0.427297 --8.01185,0.971522,0.730383,2,3,0,8.07014,0.473081 --8.00449,1,0.730383,1,1,0,8.24955,0.472395 --6.79939,1,0.730383,2,3,0,7.9786,0.291418 --6.81006,0.999401,0.730383,2,3,0,6.81541,0.295652 --6.81006,0.946041,0.730383,1,3,0,7.25635,0.295652 --6.81025,0.966829,0.730383,1,3,0,7.10805,0.207721 --6.78677,1,0.730383,1,1,0,6.8076,0.216324 --7.13114,0.927875,0.730383,3,7,0,7.7128,0.368383 --6.81948,0.994429,0.730383,2,3,0,7.19474,0.299113 --6.74815,0.991085,0.730383,2,3,0,6.91558,0.24802 --7.03172,0.961993,0.730383,3,7,0,7.16936,0.164545 --7.34671,0.986663,0.730383,3,7,0,7.35446,0.400054 --7.34671,0.848665,0.730383,1,1,0,8.0089,0.400054 --7.46577,0.976898,0.730383,1,1,0,7.54394,0.415251 --6.99521,0.947433,0.730383,3,7,0,8.06043,0.343903 --7.07481,0.97886,0.730383,2,7,0,7.28481,0.159026 --6.74892,0.978638,0.730383,1,3,0,7.3831,0.255325 --6.81082,0.984332,0.730383,1,3,0,6.88485,0.207536 --6.93739,0.987781,0.730383,2,3,0,6.97702,0.178794 --6.82233,0.97795,0.730383,2,3,0,7.23542,0.203995 --6.82094,1,0.730383,1,1,0,6.83179,0.204405 --7.16295,0.970004,0.730383,2,3,0,7.19397,0.149059 --6.80224,0.999055,0.730383,3,7,0,7.13053,0.210419 --7.38531,0.894682,0.730383,1,3,0,8.25288,0.405125 --7.25393,1,0.730383,1,1,0,7.41783,0.387206 --7.14003,1,0.730383,2,3,0,7.27329,0.369831 --7.2945,0.97084,0.730383,1,1,0,7.32788,0.392948 --7.09992,1,0.730383,1,1,0,7.27806,0.36317 --7.06855,1,0.730383,1,1,0,7.1415,0.357712 --6.85684,0.918322,0.730383,1,3,0,7.87618,0.194915 --6.81536,0.985495,0.730383,3,7,0,7.05617,0.297627 --7.0492,0.881017,0.730383,1,3,0,7.80512,0.162246 --6.87025,0.938547,0.730383,1,3,0,7.93193,0.314909 --6.92819,0.996594,0.730383,2,3,0,6.93538,0.329516 --6.80206,0.957057,0.730383,1,3,0,7.35458,0.210481 --7.93944,0.734301,0.730383,3,7,0,11.0322,0.466239 --9.53959,0.723183,0.730383,1,1,0,9.54715,0.585957 --8.47848,1,0.730383,1,1,0,9.44244,0.513049 --7.52179,1,0.730383,1,1,0,8.29283,0.421989 --6.84991,0.948123,0.730383,3,7,0,8.14083,0.19659 --6.76366,0.993255,0.730383,3,7,0,6.95,0.228341 --6.8899,0.969548,0.730383,2,3,0,7.05508,0.187659 --6.8899,0.98983,0.730383,1,1,0,6.96522,0.187659 --7.43011,0.955865,0.730383,2,3,0,7.4771,0.125733 --6.88472,0.893747,0.730383,1,3,0,8.98842,0.318815 --6.85727,0.990928,0.730383,3,7,0,7.0047,0.311221 --6.86271,0.999864,0.730383,3,7,0,6.87399,0.312789 --6.80529,0.962444,0.730383,1,3,0,7.2223,0.209368 --6.75221,0.944959,0.730383,3,7,0,7.49257,0.238676 --6.79486,0.825316,0.730383,3,7,0,8.75591,0.289491 --6.94798,0.814803,0.730383,2,3,0,8.70954,0.333989 --6.94122,0.88979,0.730383,1,3,0,7.90226,0.178141 --6.74822,0.990176,0.730383,1,3,0,7.07543,0.247543 --6.80095,0.987388,0.730383,2,3,0,6.86977,0.29206 --7.37657,0.937075,0.730383,2,3,0,7.49573,0.403989 --7.66201,0.981694,0.730383,2,3,0,7.71312,0.437904 --6.78941,0.839981,0.730383,2,3,0,9.47883,0.215238 --6.99617,0.952071,0.730383,2,3,0,7.27187,0.169511 --7.17467,0.98174,0.730383,2,3,0,7.3111,0.147843 --7.21183,0.987691,0.730383,3,7,0,7.45859,0.144132 --7.40613,0.981425,0.730383,1,1,0,7.41225,0.127524 --7.35264,1,0.730383,2,3,0,7.44974,0.131701 --6.94796,0.887068,0.730383,1,3,0,9.01676,0.333984 --6.95675,0.999447,0.730383,3,7,0,6.98846,0.335905 --6.95692,0.885164,0.730383,1,3,0,7.97814,0.175537 --7.0216,0.992556,0.730383,1,1,0,7.03034,0.165917 --6.75331,0.988819,0.730383,1,3,0,7.15713,0.237297 --6.83139,0.98039,0.730383,1,3,0,6.94563,0.303197 --6.80369,0.966762,0.730383,1,3,0,7.14166,0.209916 --6.8177,0.998125,0.730383,1,1,0,6.82143,0.205382 --6.8425,0.996748,0.730383,1,1,0,6.84558,0.198457 --6.86018,0.959864,0.730383,1,3,0,7.32958,0.312064 --6.75171,0.989943,0.730383,2,7,0,6.97554,0.239362 --7.04496,0.944781,0.730383,1,3,0,7.25756,0.162795 --7.15802,0.987879,0.730383,1,1,0,7.16534,0.149577 --7.0892,1,0.730383,1,1,0,7.17068,0.157287 --6.76008,0.966109,0.730383,1,3,0,7.5404,0.269738 --7.09571,0.900173,0.730383,1,3,0,7.62621,0.156517 --6.77051,1,0.730383,2,3,0,7.05938,0.224137 --7.0374,0.97426,0.730383,2,3,0,7.0465,0.163788 --6.99742,1,0.730383,1,1,0,7.05144,0.16933 --6.74814,0.985176,0.730383,1,3,0,7.20726,0.251947 --6.80067,0.994878,0.730383,2,3,0,6.80132,0.291943 --7.2013,0.824284,0.730383,3,7,0,8.61287,0.145162 --7.0801,1,0.730383,1,1,0,7.19701,0.158381 --7.17123,0.9445,0.730383,2,3,0,7.90088,0.148197 --8.16795,0.934138,0.730383,2,3,0,8.25753,0.0860639 --7.92179,1,0.730383,1,1,0,8.18601,0.0967924 --6.922,0.984275,0.730383,2,3,0,8.3747,0.181506 --6.76526,0.975955,0.730383,1,3,0,7.21096,0.273676 --7.04877,0.908634,0.730383,1,3,0,7.55221,0.162301 --6.91726,1,0.730383,1,1,0,7.03331,0.18237 --8.97979,0.862189,0.730383,2,5,0,8.98318,0.0604305 --8.68331,1,0.730383,1,1,0,9.02182,0.068444 --9.32954,0.969706,0.730383,1,1,0,9.33217,0.0524296 --10.1795,0.969441,0.730383,1,1,0,10.1795,0.0377097 --7.45911,0.986055,0.730383,3,7,0,9.98215,0.123628 --7.28193,0.987014,0.730383,3,7,0,7.73108,0.39119 --7.54071,0.950549,0.730383,1,1,0,7.58034,0.424212 --7.88104,0.934092,0.730383,1,1,0,7.95123,0.460568 --6.78218,1,0.730383,2,5,0,7.70899,0.218316 --6.77586,1,0.730383,1,1,0,6.78344,0.221304 --6.76817,0.991692,0.730383,2,3,0,6.86864,0.225487 --6.78133,0.998146,0.730383,1,1,0,6.78158,0.218697 --7.35888,0.881684,0.730383,2,3,0,8.34072,0.401669 --7.19673,1,0.730383,2,3,0,7.36922,0.378734 --7.10901,0.96405,0.730383,2,3,0,7.65217,0.364707 --7.56009,0.916777,0.730383,1,1,0,7.56157,0.426463 --7.02069,0.994132,0.730383,3,7,0,7.7358,0.166042 --6.85619,0.973786,0.730383,2,3,0,7.4008,0.195069 --6.89931,0.994732,0.730383,3,7,0,6.9605,0.185778 --6.7773,0.987448,0.730383,3,7,0,7.08644,0.220595 --6.7754,0.990111,0.730383,2,3,0,6.88865,0.221538 --7.19039,0.96809,0.730383,3,7,0,7.19726,0.146248 --6.80519,0.937553,0.730383,1,3,0,8.03302,0.293763 --6.83705,0.992156,0.730383,2,3,0,6.90092,0.30504 --6.98006,0.977095,0.730383,3,7,0,7.09764,0.340827 --7.20218,0.959487,0.730383,1,1,0,7.20553,0.379563 --7.39033,0.930835,0.730383,2,3,0,8.02091,0.405773 --7.11583,1,0.730383,2,3,0,7.35094,0.365851 --7.21293,0.952219,0.730383,2,3,0,7.69614,0.381181 --7.4075,0.989664,0.730383,3,7,0,7.44616,0.407974 --7.39048,1,0.730383,1,1,0,7.51753,0.405792 --8.0001,0.963049,0.730383,3,7,0,8.01568,0.471985 --7.78969,1,0.730383,1,1,0,8.1004,0.451402 --7.49446,1,0.730383,1,1,0,7.80063,0.418731 --8.56193,0.80681,0.730383,1,1,0,8.56384,0.51957 --10.011,0.748253,0.730383,1,1,0,10.0916,0.612937 --7.27301,1,0.730383,2,5,0,9.8601,0.138444 --7.25835,0.999091,0.730383,3,7,0,7.31366,0.387841 --7.02006,1,0.730383,1,1,0,7.21934,0.348769 --7.34797,0.979424,0.730383,3,7,0,7.34825,0.400222 --7.39345,0.997046,0.730383,2,3,0,7.49043,0.406175 --6.77741,1,0.730383,2,3,0,7.3721,0.281089 --6.8042,0.995217,0.730383,3,7,0,6.8364,0.293373 --6.74805,0.991663,0.730383,3,7,0,6.89191,0.25095 --6.75274,0.988389,0.730383,3,7,0,6.86071,0.237988 --6.75577,0.997045,0.730383,1,3,0,6.78319,0.265776 --6.77065,0.986871,0.730383,2,3,0,6.8786,0.277196 --7.58131,0.920669,0.730383,2,3,0,7.66774,0.428899 --7.75284,0.988749,0.730383,2,3,0,7.86399,0.447593 --7.89972,0.970815,0.730383,1,1,0,8.05037,0.462398 --9.24281,0.761622,0.730383,1,1,0,9.25917,0.567481 --7.78013,1,0.730383,2,3,0,8.95035,0.450419 --10.2065,0.767055,0.730383,2,5,0,10.2615,0.0373268 --9.52355,1,0.730383,1,1,0,10.1925,0.048547 --9.59347,0.999137,0.730383,2,3,0,9.76058,0.0472327 --6.96193,0.974384,0.730383,2,5,0,9.35575,0.174732 --6.91402,0.995379,0.730383,2,3,0,7.06592,0.182969 --6.86056,1,0.730383,1,1,0,6.90981,0.194041 --6.74831,0.992709,0.730383,1,3,0,6.95706,0.253011 --8.03491,0.855993,0.730383,3,7,0,8.46414,0.0916306 --7.97969,0.9952,0.730383,3,7,0,8.23932,0.470068 --7.27616,1,0.730383,1,1,0,7.8426,0.390377 --7.00967,0.820291,0.730383,1,3,0,8.93994,0.167577 --6.74863,0.983157,0.730383,1,3,0,7.24789,0.254361 --6.75437,0.999413,0.730383,2,3,0,6.75507,0.264261 --7.07387,0.957104,0.730383,2,3,0,7.20432,0.358654 --6.77278,1,0.730383,2,3,0,7.07278,0.278478 --6.77508,0.986524,0.730383,1,3,0,6.89757,0.2217 --7.07033,0.952307,0.730383,3,7,0,7.36254,0.358028 --6.89306,1,0.730383,1,1,0,7.03849,0.320976 --6.77223,0.901347,0.730383,2,3,0,7.81575,0.278153 --6.75082,0.992598,0.730383,2,3,0,6.84358,0.259427 --6.92988,0.920687,0.730383,2,3,0,7.55189,0.329905 --7.0885,0.971406,0.730383,1,1,0,7.09181,0.361209 --6.79582,0.949264,0.730383,1,3,0,7.64292,0.212741 --6.77306,1,0.730383,1,1,0,6.79266,0.222749 --6.77978,0.987721,0.730383,1,3,0,6.90854,0.282346 --6.76853,0.975337,0.730383,2,3,0,7.01229,0.275865 --6.86126,0.959381,0.730383,1,3,0,7.11187,0.193878 --6.81597,1,0.730383,1,1,0,6.85581,0.205912 --6.77448,0.988151,0.730383,2,3,0,6.95653,0.222005 --6.94103,0.95691,0.730383,1,3,0,7.27059,0.332441 --6.82007,0.947913,0.730383,1,3,0,7.45437,0.204665 --6.80185,0.997909,0.730383,2,7,0,6.85986,0.292425 --6.83832,0.993819,0.730383,1,1,0,6.83977,0.305448 --7.07807,0.86294,0.730383,1,3,0,7.97742,0.158628 --6.78189,0.958757,0.730383,1,3,0,7.65122,0.283433 --6.77699,1,0.730383,1,1,0,6.78429,0.28086 --7.27751,0.83852,0.730383,1,3,0,8.20533,0.138044 --6.80569,0.999275,0.730383,3,7,0,7.25473,0.293962 --6.79514,0.973781,0.730383,1,3,0,7.04834,0.212997 --6.97433,0.985912,0.730383,3,7,0,7.00111,0.172786 --6.94082,1,0.730383,1,1,0,6.98471,0.178209 --6.84647,0.952473,0.730383,1,3,0,7.56608,0.307994 --6.87635,0.988731,0.730383,2,3,0,6.98834,0.316581 --6.74817,1,0.730383,2,3,0,6.8578,0.252168 --6.74942,0.999599,0.730383,1,3,0,6.75183,0.243439 --6.77979,0.992305,0.730383,2,3,0,6.81981,0.219407 --6.78633,0.999093,0.730383,1,1,0,6.78892,0.216507 --6.80122,0.98071,0.730383,1,3,0,7.00532,0.292171 --6.84778,0.997369,0.730383,2,3,0,6.84837,0.308395 --6.76376,0.944671,0.730383,2,3,0,7.36159,0.272601 --6.79578,0.981484,0.730383,1,3,0,6.92659,0.212757 --7.23987,0.912103,0.730383,1,3,0,7.95065,0.385167 --6.93195,1,0.730383,3,7,0,7.23529,0.179738 --8.50321,0.791733,0.730383,1,3,0,9.46577,0.0739931 --7.79787,0.992296,0.730383,3,7,0,8.69981,0.452238 --7.79787,0.84176,0.730383,1,1,0,8.51843,0.452238 --6.75871,1,0.730383,2,3,0,7.69772,0.268569 --7.22223,0.954628,0.730383,2,3,0,7.25912,0.382569 --7.05737,1,0.730383,1,1,0,7.20963,0.355708 --6.77579,0.980467,0.730383,3,7,0,7.28669,0.221339 --6.83405,0.975422,0.730383,1,3,0,7.04966,0.304071 --6.96064,0.751289,0.730383,2,3,0,9.46633,0.336742 --6.80985,0.950466,0.730383,1,3,0,7.4551,0.207851 --6.74802,0.996858,0.730383,1,3,0,6.85464,0.250303 --6.89132,0.968797,0.730383,1,3,0,7.02408,0.18737 --8.71876,0.873735,0.730383,2,5,0,8.71978,0.0674168 --8.73453,0.999196,0.730383,1,1,0,8.89022,0.0669662 --8.33351,1,0.730383,3,7,0,8.83841,0.501308 --7.63966,1,0.730383,1,1,0,8.23163,0.43545 --6.75104,1,0.730383,3,7,0,7.53301,0.259799 --6.75238,0.998097,0.730383,1,3,0,6.76917,0.238447 --6.777,0.991947,0.730383,2,3,0,6.82825,0.220743 --7.16771,0.923676,0.730383,1,3,0,7.71582,0.374247 --7.11033,1,0.730383,1,1,0,7.20532,0.36493 --6.78464,0.950542,0.730383,1,3,0,7.62371,0.217233 --7.23055,0.887383,0.730383,2,5,0,7.87414,0.3838 --7.22131,1,0.730383,3,7,0,7.23279,0.143218 --8.27108,0.93283,0.730383,2,3,0,8.36683,0.0820765 --7.96608,1,0.730383,1,1,0,8.27571,0.0947203 --7.13911,0.993537,0.730383,3,7,0,7.84389,0.369681 --6.90135,0.987331,0.730383,3,7,0,7.30741,0.323072 --7.84147,0.883368,0.730383,2,3,0,8.17559,0.456644 --7.99649,0.969131,0.730383,1,1,0,8.16273,0.471647 --8.36373,0.928119,0.730383,1,1,0,8.51262,0.503801 --7.56103,1,0.730383,1,1,0,8.22116,0.426572 --7.62918,0.986504,0.730383,1,1,0,7.76195,0.434289 --7.11374,1,0.730383,3,7,0,7.6513,0.15443 --6.76363,0.998782,0.730383,3,7,0,7.07017,0.228359 --7.00291,0.952565,0.730383,2,3,0,7.21464,0.168537 --6.78362,0.961324,0.730383,1,3,0,7.48566,0.284299 --8.60512,0.800441,0.730383,2,3,0,9.20619,0.522882 --7.50686,1,0.730383,2,3,0,8.38582,0.420217 --8.23238,0.864406,0.730383,1,1,0,8.25154,0.49278 --7.43414,1,0.730383,1,1,0,8.08049,0.411337 --7.43896,1,0.730383,3,7,0,7.46927,0.125084 --6.74904,0.958483,0.730383,1,3,0,8.13624,0.255665 --6.84514,0.966103,0.730383,3,7,0,7.08597,0.307585 --6.74924,0.990366,0.730383,2,3,0,6.95566,0.243853 --7.1475,0.965216,0.730383,2,3,0,7.14916,0.371037 --8.17815,0.839598,0.730383,2,3,0,8.92187,0.488084 --7.7927,1,0.730383,1,1,0,8.20743,0.451709 --7.28208,1,0.730383,1,1,0,7.70374,0.391211 --6.79882,0.999533,0.730383,3,7,0,7.30562,0.291179 --7.2559,0.873279,0.730383,3,7,0,8.11144,0.139985 --7.37693,0.996177,0.730383,2,3,0,7.39845,0.129772 --6.74967,0.960362,0.730383,1,3,0,8.02243,0.257219 --6.74967,0.901074,0.730383,1,3,0,7.54755,0.257219 --7.62574,0.906686,0.730383,3,7,0,7.81798,0.112669 --7.36937,1,0.730383,1,1,0,7.60925,0.130366 --7.13224,0.997365,0.730383,3,7,0,7.34561,0.152358 --7.17601,0.995466,0.730383,1,1,0,7.20714,0.147706 --7.59189,0.973806,0.730383,3,7,0,7.76805,0.114755 --6.91989,0.87095,0.730383,1,3,0,9.56527,0.327575 --10.7323,0.625697,0.730383,3,7,0,11.4438,0.6496 --9.39314,1,0.730383,2,5,0,10.6337,0.051117 --7.3444,0.961388,0.730383,2,5,0,10.145,0.132368 --7.36127,0.997531,0.730383,3,7,0,7.36216,0.401984 --7.00084,1,0.730383,1,1,0,7.29349,0.345026 --7.18459,0.966261,0.730383,1,1,0,7.19318,0.376874 --7.35873,0.966942,0.730383,1,1,0,7.39616,0.40165 --7.76334,0.922972,0.730383,1,1,0,7.7948,0.448685 --9.79138,0.793652,0.730383,3,7,0,10.2754,0.0437337 --9.96697,0.994219,0.730383,1,1,0,10.1012,0.0408803 --10.238,0.991762,0.730383,1,1,0,10.344,0.0368865 --9.13101,0.997004,0.730383,2,3,0,10.6056,0.0567986 --6.74812,0.999738,0.730383,3,7,0,9.0179,0.248234 --6.84965,0.979343,0.730383,1,3,0,6.93292,0.196657 --6.91065,0.99234,0.730383,1,1,0,6.91165,0.183598 --6.87321,1,0.730383,1,1,0,6.91225,0.191185 --6.88275,0.951175,0.730383,1,3,0,7.48109,0.318293 --6.82728,1,0.730383,1,1,0,6.87527,0.301819 --7.07615,0.867556,0.730383,1,3,0,7.92839,0.158863 --7.08135,0.999013,0.730383,3,7,0,7.08363,0.359967 --6.96752,1,0.730383,1,1,0,7.07311,0.338209 --7.13187,0.970055,0.730383,1,1,0,7.13854,0.368501 --7.32998,0.987576,0.730383,2,3,0,7.35497,0.397809 --7.16968,0.892573,0.730383,3,7,0,8.46386,0.374555 --7.08483,1,0.730383,1,1,0,7.19108,0.360573 --7.57825,0.958676,0.730383,2,5,0,7.5783,0.115614 --6.76647,0.963504,0.730383,1,3,0,8.08246,0.226516 --7.23779,0.929378,0.730383,2,5,0,7.5288,0.141659 --6.7481,0.973969,0.730383,1,3,0,7.64409,0.248404 --6.7481,0.924909,0.730383,1,3,0,7.35851,0.248404 --6.82623,0.984228,0.730383,1,3,0,6.88912,0.202863 --6.98349,0.953949,0.730383,2,3,0,7.32568,0.171391 --6.95084,1,0.730383,1,1,0,6.99531,0.176532 --6.74808,0.98937,0.730383,1,3,0,7.09901,0.248604 --6.75563,0.998398,0.730383,1,3,0,6.76312,0.265629 --6.89297,0.924691,0.730383,3,7,0,7.49006,0.320954 --6.78962,0.870971,0.730383,2,3,0,8.11613,0.287153 --7.00464,0.90603,0.730383,1,3,0,7.57396,0.16829 --7.23197,0.991084,0.730383,3,7,0,7.23209,0.384008 --7.86857,0.872862,0.730383,2,3,0,8.65544,0.45934 --7.41424,1,0.730383,1,1,0,7.81159,0.408831 --7.06679,1,0.730383,2,3,0,7.35101,0.3574 --6.86139,0.915901,0.730383,1,3,0,7.89095,0.193848 --6.81315,1,0.730383,1,1,0,6.85527,0.206792 --6.84795,0.966899,0.730383,1,3,0,7.20807,0.308446 --6.83404,1,0.730383,1,1,0,6.85578,0.304067 --6.78966,1,0.730383,1,1,0,6.82665,0.287175 --7.02193,0.903175,0.730383,1,3,0,7.61935,0.165872 --7.83651,0.940124,0.730383,2,3,0,7.90419,0.100982 --7.44214,1,0.730383,2,3,0,7.80353,0.124852 --6.75634,0.946073,0.730383,1,3,0,8.27485,0.266346 --6.76194,0.999107,0.730383,1,1,0,6.76211,0.271228 --6.91348,0.910398,0.730383,3,7,0,7.66238,0.183069 --6.91569,0.999732,0.730383,1,1,0,6.93673,0.18266 --7.17714,0.905758,0.730383,1,3,0,8.31689,0.37572 --6.75161,1,0.730383,3,7,0,7.1272,0.260687 --6.79623,0.995406,0.730383,2,3,0,6.8013,0.290081 --7.57015,0.918798,0.730383,2,3,0,7.70237,0.427622 --7.34184,1,0.730383,2,3,0,7.5801,0.399405 --6.7483,1,0.730383,2,3,0,7.25966,0.252966 --6.75546,0.997647,0.730383,2,3,0,6.76993,0.265449 --6.81311,0.994516,0.730383,3,7,0,6.81961,0.206805 --7.18242,0.917748,0.730383,1,3,0,7.92411,0.376539 --6.8573,0.996958,0.730383,3,7,0,7.25025,0.194805 --7.37789,0.955614,0.730383,2,3,0,7.4132,0.129697 --7.21925,1,0.730383,1,1,0,7.37415,0.143416 --7.87803,0.969707,0.730383,3,7,0,7.94245,0.460272 --8.37824,0.903494,0.730383,1,1,0,8.48061,0.504989 --8.54596,0.966488,0.730383,1,1,0,8.81662,0.518335 --7.55265,1,0.730383,1,1,0,8.35317,0.425602 --8.03343,0.907954,0.730383,1,1,0,8.08431,0.475083 --6.80059,0.942115,0.730383,3,7,0,8.81612,0.291911 --6.83019,0.960819,0.730383,1,3,0,7.14138,0.201748 --6.82835,1,0.730383,1,1,0,6.8404,0.202263 --6.87519,0.993971,0.730383,1,1,0,6.87621,0.190751 --7.46283,0.8853,0.730383,1,3,0,8.7428,0.41489 --6.81812,0.997114,0.730383,2,3,0,7.50663,0.298628 --7.26328,0.811367,0.730383,1,3,0,8.40574,0.139316 --7.05622,0.98196,0.730383,3,7,0,7.61934,0.355501 --6.87941,1,0.730383,1,1,0,7.02444,0.317406 --6.91996,0.992826,0.730383,1,1,0,6.93165,0.327591 --6.94295,0.995874,0.730383,1,1,0,6.96565,0.332872 --6.92004,0.902299,0.730383,1,3,0,7.81776,0.181863 --6.96336,0.994844,0.730383,1,1,0,6.97307,0.174505 --6.74975,0.990282,0.730383,1,3,0,7.08757,0.242707 --6.74843,0.999626,0.730383,3,7,0,6.75407,0.246429 --6.79973,0.995574,0.730383,2,7,0,6.79975,0.291557 --6.9535,0.979343,0.730383,2,3,0,7.02511,0.335199 --6.99539,0.992392,0.730383,1,1,0,7.01929,0.343939 --6.74971,0.953639,0.730383,2,3,0,7.46378,0.242787 --7.04234,0.94179,0.730383,1,3,0,7.27645,0.163138 --6.74805,0.983143,0.730383,1,3,0,7.28606,0.250994 --9.90277,0.775488,0.730383,2,3,0,10.0436,0.606977 --12.5935,0.39868,0.730383,2,5,0,17.787,0.0157619 --12.304,1,0.730383,2,3,0,12.7318,0.0174479 --11.266,1,0.730383,1,1,0,12.2855,0.0252583 --10.4092,1,0.730383,1,1,0,11.2482,0.0345931 --10.9033,0.987584,0.730383,1,1,0,10.9574,0.0288195 --6.74866,0.974442,0.730383,3,7,0,13.8057,0.245562 --6.75382,0.998382,0.730383,1,3,0,6.76365,0.263615 --6.80095,0.983276,0.730383,1,3,0,6.89745,0.210874 --7.27196,0.956406,0.730383,2,3,0,7.28707,0.138537 --7.3195,0.987422,0.730383,2,3,0,7.60703,0.134425 --7.5655,0.977997,0.730383,1,1,0,7.57068,0.116427 --6.81834,0.902542,0.730383,1,3,0,9.02551,0.298707 --6.81458,0.964119,0.730383,1,3,0,7.14395,0.206345 --7.99939,0.889774,0.730383,2,3,0,7.99952,0.0932062 --7.93979,1,0.730383,1,1,0,8.08704,0.0959419 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--8.0446,0.886016,0.730383,1,1,0,8.06594,0.476112 --7.67668,1,0.730383,3,7,0,8.16296,0.439499 --6.75494,1,0.730383,2,3,0,7.53234,0.235496 --6.75494,0.900015,0.730383,1,3,0,7.60187,0.235496 --7.10423,0.938975,0.730383,1,3,0,7.34417,0.155522 --7.05853,0.996982,0.730383,3,7,0,7.17576,0.355918 --6.80717,0.945072,0.730383,1,3,0,7.64071,0.208737 --6.83773,0.969959,0.730383,1,3,0,7.16348,0.305259 --6.75317,0.989496,0.730383,1,3,0,6.9466,0.237462 --7.08087,0.941249,0.730383,1,3,0,7.31352,0.158288 --7.26505,0.980964,0.730383,1,1,0,7.2666,0.139157 --6.75721,0.997965,0.730383,3,7,0,7.19679,0.233316 --7.05173,0.932673,0.730383,2,3,0,7.51286,0.354685 --7.09497,0.991947,0.730383,1,1,0,7.13619,0.362322 --6.97592,1,0.730383,1,1,0,7.08616,0.339969 --7.0692,0.838537,0.730383,1,3,0,8.40168,0.159718 --7.47504,0.980949,0.730383,3,7,0,7.50465,0.416382 --6.75435,1,0.730383,2,3,0,7.39732,0.264238 --6.95399,0.98002,0.730383,2,3,0,6.96899,0.335305 --6.74984,1,0.730383,2,3,0,6.92183,0.24251 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+-6.7487792,0.98829002,1.1467501,1,3,0,7.0819523,0.2451559 +-6.7481135,0.8282748,1.1467501,2,3,0,7.5986245,0.25169561 +-6.7953221,0.98561551,1.1467501,2,3,0,6.8238266,0.21292855 +-8.1253893,0.757586,1.1467501,1,3,0,8.3065392,0.087789969 +-7.6548519,1,1.1467501,1,1,0,8.1334475,0.11092584 +-6.7879638,0.98937083,1.1467501,1,3,0,7.4949852,0.21582747 +-7.0459478,0.92917486,1.1467501,2,3,0,7.2479698,0.35362757 +-6.9367873,1,1.1467501,1,1,0,7.0633479,0.33148526 +-6.7876045,1,1.1467501,1,1,0,6.8859846,0.28621837 +-7.3589255,0.80261128,1.1467501,1,1,0,7.3592522,0.40167484 +-6.915745,0.9659046,1.1467501,1,3,0,7.5484956,0.18264935 +-7.1181788,0.86834085,1.1467501,2,3,0,8.0893405,0.15392682 +-8.3738171,0.75344141,1.1467501,2,3,0,9.5781955,0.50462794 +-10.01175,0.70792083,1.1467501,2,3,0,10.610267,0.61297843 +-7.9991289,1,1.1467501,2,3,0,9.5608321,0.47189418 +-9.0026451,0.6431828,1.1467501,1,1,0,9.4735411,0.55154685 +-7.2169881,1,1.1467501,1,1,0,8.3491522,0.38178862 +-6.7498945,1,1.1467501,1,3,0,7.0593416,0.2577016 +-7.555784,0.49175498,1.1467501,2,3,0,9.6641303,0.1170538 +-7.5217638,0.90866138,1.1467501,1,3,0,8.5499791,0.42198597 +-6.7806886,1,1.1467501,1,3,0,7.391749,0.21899226 +-7.7133198,0.68448299,1.1467501,2,3,0,8.8978154,0.10755795 +-7.2748866,1,1.1467501,1,1,0,7.6685412,0.13827657 +-7.0640571,0.95517635,1.1467501,2,3,0,7.855773,0.16035792 +-7.1843741,0.99091059,1.1467501,2,3,0,7.2418103,0.14685363 +-6.9554948,1,1.1467501,1,1,0,7.1482368,0.17576887 +-6.9685916,0.92438555,1.1467501,2,3,0,7.8268145,0.17367831 +-6.7664909,0.98323386,1.1467501,1,3,0,6.9804204,0.27452099 +-6.7651918,0.95425235,1.1467501,2,3,0,6.921647,0.27362626 +-6.8387239,0.80583185,1.1467501,2,3,0,7.4912609,0.3055762 +-7.6271821,0.72952006,1.1467501,1,1,0,7.6346285,0.43406663 +-6.8877652,1,1.1467501,1,1,0,7.3482799,0.31961049 +-6.8877652,0.79680591,1.1467501,1,1,0,7.2484969,0.31961049 +-7.0618681,0.98153739,1.1467501,2,3,0,7.0629386,0.16063251 +-7.0307174,1,1.1467501,1,1,0,7.1237024,0.16467992 +-6.8776614,1,1.1467501,1,1,0,7.0044403,0.19021884 +-7.6891422,0.68226417,1.1467501,2,3,0,8.9524347,0.44084493 +-6.9264855,0.85692303,1.1467501,2,3,0,8.4233574,0.18070186 +-6.7881204,0.82343484,1.1467501,2,3,0,8.0219088,0.28646013 +-6.8406954,0.70156402,1.1467501,2,3,0,7.972085,0.30620036 +-6.8406954,0.5666576,1.1467501,1,1,0,7.6719941,0.30620036 +-6.9279431,0.96726189,1.1467501,1,1,0,6.9533799,0.3294588 +-6.8367407,0.90007012,1.1467501,2,3,0,7.3451176,0.19996403 +-7.2446997,0.9299988,1.1467501,1,3,0,7.2458019,0.14101516 +-6.9679376,1,1.1467501,1,1,0,7.1949751,0.17378088 +-6.8726113,1,1.1467501,1,1,0,6.9622098,0.19131566 +-6.7770764,0.98193137,1.1467501,2,3,0,7.0072784,0.22070454 +-6.7485007,0.99662817,1.1467501,2,3,0,6.7954674,0.24614441 +-6.8747395,0.96570485,1.1467501,1,3,0,6.8858825,0.31614288 +-6.7875032,0.98961817,1.1467501,1,3,0,6.9219895,0.21601816 +-6.9205498,0.97990554,1.1467501,2,3,0,6.9638482,0.32772932 +-6.9205498,0.35755708,1.1467501,1,1,0,8.3478237,0.32772932 # -# Elapsed Time: 0.010804 seconds (Warm-up) -# 0.026082 seconds (Sampling) -# 0.036886 seconds (Total) +# Elapsed Time: 0.001 seconds (Warm-up) +# 0 seconds (Sampling) +# 0.001 seconds (Total) # diff --git a/test/data/runset-bad/bad-hdr-bern-4_config.json b/test/data/runset-bad/bad-hdr-bern-4_config.json new file mode 100644 index 00000000..627db4cf --- /dev/null +++ b/test/data/runset-bad/bad-hdr-bern-4_config.json @@ -0,0 +1,65 @@ +{ + "stan_major_version": "2", + "stan_minor_version": "37", + "stan_patch_version": "0", + "model_name": "foo", + "start_datetime": "2026-07-20 16:58:36 UTC", + "method": { + "value": "sample", + "sample": { + "num_samples": 100, + "num_warmup": 1000, + "save_warmup": false, + "thin": 1, + "adapt": { + "engaged": true, + "gamma": 0.05, + "delta": 0.8, + "kappa": 0.75, + "t0": 10, + "init_buffer": 75, + "term_buffer": 50, + "window": 25, + "save_metric": true + }, + "algorithm": { + "value": "hmc", + "hmc": { + "engine": { + "value": "nuts", + "nuts": { + "max_depth": 10 + } + }, + "metric": { + "value": "diag_e" + }, + "metric_file": "", + "stepsize": 1, + "stepsize_jitter": 0 + } + }, + "num_chains": 1 + } + }, + "id": 4, + "data": { + "file": "test/data/bernoulli.data.json" + }, + "init": "2", + "random": { + "seed": 12345 + }, + "output": { + "file": "/tmp/tmpuisjazeu/bernoullik799pfr2/bernoulli-20260720125836_4.csv", + "diagnostic_file": "", + "refresh": 100, + "sig_figs": 8, + "profile_file": "profile.csv", + "save_cmdstan_config": true + }, + "num_threads": 1, + "mpi_enabled": false, + "stanc_version": "stanc3 v2.37.0", + "stancflags": "--filename-in-msg=bernoulli.stan" +} diff --git a/test/data/runset-big/output_icar_nyc-1_config.json b/test/data/runset-big/output_icar_nyc-1_config.json new file mode 100644 index 00000000..a96e0533 --- /dev/null +++ b/test/data/runset-big/output_icar_nyc-1_config.json @@ -0,0 +1,60 @@ +{ + "stan_major_version": "2", + "stan_minor_version": "18", + "stan_patch_version": "0", + "model_name": "icar_model", + "method": { + "value": "sample", + "sample": { + "num_samples": 1000, + "num_warmup": 1500, + "save_warmup": false, + "thin": 1, + "adapt": { + "engaged": true, + "gamma": 0.05, + "delta": 0.8, + "kappa": 0.75, + "t0": 10, + "init_buffer": 75, + "term_buffer": 50, + "window": 25 + }, + "algorithm": { + "value": "hmc", + "hmc": { + "engine": { + "value": "nuts", + "nuts": { + "max_depth": 12 + } + }, + "metric": { + "value": "diag_e" + }, + "metric_file": "", + "stepsize": 1, + "stepsize_jitter": 0 + } + }, + "num_chains": 1 + } + }, + "id": 1, + "data": { + "file": "icar_nyc.data.R" + }, + "init": "2", + "random": { + "seed": 12345 + }, + "output": { + "file": "", + "diagnostic_file": "", + "refresh": 10000, + "sig_figs": -1, + "profile_file": "profile.csv", + "save_cmdstan_config": true + }, + "num_threads": 1 +} diff --git a/test/data/runset-big/output_icar_nyc-2_config.json b/test/data/runset-big/output_icar_nyc-2_config.json new file mode 100644 index 00000000..81abed35 --- /dev/null +++ b/test/data/runset-big/output_icar_nyc-2_config.json @@ -0,0 +1,60 @@ +{ + "stan_major_version": "2", + "stan_minor_version": "18", + "stan_patch_version": "0", + "model_name": "icar_model", + "method": { + "value": "sample", + "sample": { + "num_samples": 1000, + "num_warmup": 1500, + "save_warmup": false, + "thin": 1, + "adapt": { + "engaged": true, + "gamma": 0.05, + "delta": 0.8, + "kappa": 0.75, + "t0": 10, + "init_buffer": 75, + "term_buffer": 50, + "window": 25 + }, + "algorithm": { + "value": "hmc", + "hmc": { + "engine": { + "value": "nuts", + "nuts": { + "max_depth": 12 + } + }, + "metric": { + "value": "diag_e" + }, + "metric_file": "", + "stepsize": 1, + "stepsize_jitter": 0 + } + }, + "num_chains": 1 + } + }, + "id": 2, + "data": { + "file": "icar_nyc.data.R" + }, + "init": "2", + "random": { + "seed": 12345 + }, + "output": { + "file": "", + "diagnostic_file": "", + "refresh": 10000, + "sig_figs": -1, + "profile_file": "profile.csv", + "save_cmdstan_config": true + }, + "num_threads": 1 +} diff --git a/test/data/runset-good/bern-1.csv b/test/data/runset-good/bern-1.csv index 333d4f20..3d99419e 100644 --- a/test/data/runset-good/bern-1.csv +++ b/test/data/runset-good/bern-1.csv @@ -1,148 +1,157 @@ # stan_version_major = 2 -# stan_version_minor = 19 -# stan_version_patch = 1 +# stan_version_minor = 37 +# stan_version_patch = 0 # model = bernoulli_model +# start_datetime = 2026-07-20 16:58:36 UTC # method = sample (Default) # sample # num_samples = 100 # num_warmup = 1000 (Default) -# save_warmup = 0 (Default) +# save_warmup = false (Default) # thin = 1 (Default) # adapt -# engaged = 1 (Default) -# gamma = 0.050000000000000003 (Default) -# delta = 0.94999999999999996 +# engaged = true (Default) +# gamma = 0.05 (Default) +# delta = 0.8 (Default) # kappa = 0.75 (Default) # t0 = 10 (Default) # init_buffer = 75 (Default) # term_buffer = 50 (Default) # window = 25 (Default) +# save_metric = true # algorithm = hmc (Default) # hmc # engine = nuts (Default) # nuts -# max_depth = 11 +# max_depth = 10 (Default) # metric = diag_e (Default) # metric_file = (Default) # stepsize = 1 (Default) # stepsize_jitter = 0 (Default) -# id = 1 +# num_chains = 1 (Default) +# id = 1 (Default) # data -# file = /Users/mitzi/github/stan-dev/cmdstanpy/test/files-data/bernoulli.data.json +# file = test/data/bernoulli.data.json # init = 2 (Default) # random # seed = 12345 # output -# file = /Users/mitzi/github/stan-dev/cmdstanpy/test/files-tmp/test1-bernoulli.output-1.csv +# file = /tmp/tmpuisjazeu/bernoullik799pfr2/bernoulli-20260720125836_1.csv # diagnostic_file = (Default) # refresh = 100 (Default) +# sig_figs = 8 (Default) +# profile_file = profile.csv (Default) +# save_cmdstan_config = true +# num_threads = 1 (Default) +# stanc_version = stanc3 v2.37.0 +# stancflags = --filename-in-msg=bernoulli.stan lp__,accept_stat__,stepsize__,treedepth__,n_leapfrog__,divergent__,energy__,theta # Adaptation terminated -# Step size = 0.738376 +# Step size = 0.766137 # Diagonal elements of inverse mass matrix: -# 0.524282 --7.49727,1,0.738376,2,3,0,8.37774,0.419069 --7.2771,1,0.738376,2,7,0,7.45881,0.138081 --7.11108,1,0.738376,1,1,0,7.26513,0.154734 --7.0229,1,0.738376,2,3,0,7.1125,0.16574 --6.99604,0.954099,0.738376,2,3,0,7.67415,0.169531 --7.37893,0.96742,0.738376,2,3,0,7.50326,0.129615 --6.77726,0.945123,0.738376,1,3,0,8.23127,0.281006 --7.32616,0.939502,0.738376,2,3,0,7.42506,0.397293 --6.90085,0.891089,0.738376,1,3,0,8.48704,0.185477 --7.05042,0.927146,0.738376,1,3,0,7.90998,0.354446 --7.52434,0.90905,0.738376,1,1,0,7.52449,0.42229 --6.92975,0.973464,0.738376,2,3,0,7.79138,0.329875 --6.91428,1,0.738376,2,3,0,6.95221,0.326236 --7.08404,0.96063,0.738376,2,3,0,7.33681,0.360435 --6.88211,1,0.738376,1,1,0,7.04565,0.318124 --6.86947,0.998651,0.738376,3,7,0,6.90941,0.192011 --6.78219,0.999195,0.738376,2,3,0,6.884,0.218309 --6.74962,0.995786,0.738376,2,3,0,6.82938,0.242971 --6.79416,0.951695,0.738376,3,7,0,7.21657,0.213369 --7.13729,0.919335,0.738376,1,3,0,7.69596,0.369386 --6.74951,0.717853,0.738376,2,3,0,9.84969,0.256851 --6.76251,0.995773,0.738376,1,3,0,6.78566,0.229133 --6.76251,0.794235,0.738376,1,3,0,8.58835,0.229133 --6.76251,0.698544,0.738376,1,3,0,9.57411,0.229133 --6.78592,0.987936,0.738376,1,3,0,6.8823,0.285418 --6.75711,0.972024,0.738376,3,7,0,7.02645,0.267102 --6.7491,0.998747,0.738376,1,3,0,6.77039,0.244237 --6.76346,0.996236,0.738376,1,3,0,6.7841,0.272379 --6.80914,0.995721,0.738376,3,7,0,6.81466,0.2953 --6.7974,0.882567,0.738376,2,3,0,7.89753,0.290583 --6.82305,0.99544,0.738376,1,1,0,6.82576,0.300369 --6.75524,1,0.738376,2,3,0,6.82452,0.26521 --6.90471,0.875791,0.738376,2,3,0,7.99839,0.323905 --9.33598,0.735214,0.738376,3,7,0,9.62519,0.0522949 --8.18796,0.930562,0.738376,2,5,0,10.5453,0.48894 --7.41691,1,0.738376,3,7,0,8.13894,0.126713 --6.98067,0.994641,0.738376,3,7,0,7.47539,0.171816 --6.77193,0.940108,0.738376,3,7,0,7.76242,0.277975 --7.31505,0.826432,0.738376,1,3,0,8.18959,0.134799 --7.59479,0.989225,0.738376,2,7,0,7.59627,0.430431 --6.93056,0.870413,0.738376,1,3,0,9.11033,0.179982 --6.76849,0.974838,0.738376,1,3,0,7.21807,0.27584 --7.22681,0.854114,0.738376,1,3,0,7.95201,0.142693 --7.07272,0.896881,0.738376,1,3,0,8.91057,0.358452 --7.04364,1,0.738376,2,3,0,7.11354,0.353203 --7.44229,0.923167,0.738376,1,1,0,7.44363,0.412354 --6.75605,1,0.738376,2,3,0,7.38558,0.266059 --6.83413,0.991297,0.738376,2,3,0,6.84886,0.304098 --6.7484,0.995018,0.738376,1,3,0,6.88881,0.246552 --6.7484,0.966109,0.738376,1,3,0,7.0061,0.246552 --6.82922,0.981518,0.738376,2,3,0,6.9079,0.202018 --7.31426,0.948848,0.738376,3,7,0,7.50476,0.395672 --7.52607,0.9571,0.738376,1,1,0,7.58584,0.422494 --8.08455,0.888511,0.738376,1,1,0,8.13075,0.479756 --9.31327,0.76915,0.738376,1,1,0,9.37073,0.571983 --6.8168,1,0.738376,2,3,0,9.30512,0.298153 --6.76561,0.933277,0.738376,2,3,0,7.41479,0.27392 --6.75769,0.994213,0.738376,1,3,0,6.81945,0.232889 --7.29871,0.899067,0.738376,1,3,0,7.6689,0.136192 --7.43953,0.986317,0.738376,1,1,0,7.4631,0.125042 --7.22419,0.988197,0.738376,3,7,0,7.66936,0.142943 --6.75098,0.967176,0.738376,1,3,0,7.67524,0.259699 --7.04375,0.922874,0.738376,1,3,0,7.38178,0.162954 --6.84499,0.970383,0.738376,2,3,0,7.4572,0.197822 --6.88513,0.994632,0.738376,1,1,0,6.88888,0.188642 --6.9163,0.997915,0.738376,3,7,0,6.92624,0.182547 --6.86509,0.995962,0.738376,2,3,0,6.99685,0.192997 --6.90208,0.951771,0.738376,1,3,0,7.46278,0.323254 --7.06263,0.963389,0.738376,2,3,0,7.29507,0.356655 --7.27388,0.958656,0.738376,1,1,0,7.29046,0.390055 --7.25347,1,0.738376,2,3,0,7.3606,0.38714 --6.75108,0.63812,0.738376,2,3,0,10.9039,0.259859 --7.13988,0.899789,0.738376,1,3,0,7.58974,0.151521 --6.74813,0.980288,0.738376,1,3,0,7.415,0.248165 --6.77484,0.994795,0.738376,1,3,0,6.79176,0.22182 --6.80641,0.981598,0.738376,1,3,0,6.96845,0.294246 --7.11927,0.866632,0.738376,1,3,0,7.8934,0.153803 --6.97372,1,0.738376,1,1,0,7.10313,0.17288 --8.01616,0.884541,0.738376,3,7,0,8.92884,0.0924573 --7.91376,1,0.738376,1,1,0,8.08963,0.097175 --8.42375,0.965004,0.738376,1,1,0,8.42619,0.0766325 --8.01741,1,0.738376,2,3,0,8.41148,0.0924017 --6.81678,0.951832,0.738376,1,3,0,8.59914,0.205662 --6.78643,0.970909,0.738376,3,7,0,7.1439,0.285664 --6.75474,0.999659,0.738376,2,3,0,6.79081,0.264677 --6.92979,0.974763,0.738376,3,7,0,7.00061,0.180116 --6.75209,0.984049,0.738376,1,3,0,7.1178,0.261382 --6.74881,0.999967,0.738376,2,3,0,6.75254,0.254998 --6.90817,0.984499,0.738376,2,7,0,6.90869,0.184069 --6.96489,0.992849,0.738376,1,1,0,6.97187,0.174261 --7.55217,0.888565,0.738376,2,3,0,8.26277,0.117289 --7.35658,1,0.738376,1,1,0,7.55057,0.131384 --7.69578,0.969118,0.738376,1,1,0,7.69694,0.10855 --7.40391,1,0.738376,2,3,0,7.67529,0.127692 --7.12939,0.883066,0.738376,1,3,0,9.55919,0.368095 --6.77756,0.999464,0.738376,2,3,0,7.14351,0.28117 --6.99287,0.915603,0.738376,1,3,0,7.44746,0.169995 --6.95753,1,0.738376,2,3,0,7.00572,0.175439 --6.81641,0.998527,0.738376,2,3,0,6.98641,0.205776 --7.1525,0.96919,0.738376,2,3,0,7.18946,0.150163 +# 0.567537 +-6.80017,0.96223506,0.76613686,2,3,0,7.2971456,0.21115047 +-7.037394,0.91182695,0.76613686,2,3,0,7.5712789,0.16378946 +-7.0172443,1,0.76613686,1,1,0,7.069534,0.16651798 +-7.2281083,0.97241511,0.76613686,1,1,0,7.2295626,0.14256998 +-7.1113314,1,0.76613686,1,1,0,7.2344563,0.15470507 +-6.7995191,0.99682591,0.76613686,2,7,0,7.0708974,0.29146943 +-6.7916924,1,0.76613686,2,7,0,6.797846,0.21432552 +-6.9157835,0.98410831,0.76613686,2,3,0,6.966609,0.18264223 +-6.9176538,0.94475061,0.76613686,1,3,0,7.5001509,0.3270426 +-6.7596308,0.98229716,0.76613686,1,3,0,7.0529634,0.23128328 +-7.5870917,0.90268453,0.76613686,2,3,0,7.5962044,0.11505572 +-7.2117035,1,0.76613686,1,1,0,7.5438251,0.14414422 +-7.5238569,0.96430021,0.76613686,1,1,0,7.5265495,0.11915473 +-7.1943495,1,0.76613686,1,1,0,7.4863999,0.14585163 +-8.5994185,0.89322736,0.76613686,2,3,0,8.7404473,0.070957842 +-8.5593766,1,0.76613686,1,1,0,8.7694095,0.072200655 +-8.3182191,1,0.76613686,1,1,0,8.6285956,0.080340182 +-8.9812271,0.95719136,0.76613686,2,3,0,9.5770648,0.06039453 +-9.2515113,0.97547809,0.76613686,2,3,0,10.110521,0.054096033 +-9.7009962,0.9788034,0.76613686,1,1,0,9.7751516,0.045292459 +-9.7684203,0.9971257,0.76613686,1,1,0,9.9898883,0.044123619 +-9.0537058,1,0.76613686,1,1,0,9.7515951,0.058620188 +-7.3022158,0.9701021,0.76613686,2,3,0,10.081354,0.13589083 +-6.8814023,0.92775613,0.76613686,1,3,0,8.2382469,0.3179362 +-6.7485777,0.99412935,0.76613686,1,3,0,6.9317195,0.24584748 +-6.7968866,0.93689253,0.76613686,2,3,0,7.3071796,0.29036343 +-7.091575,0.87942867,0.76613686,1,3,0,7.6340517,0.15700573 +-6.8133744,0.95582443,0.76613686,1,3,0,7.6019179,0.29689605 +-6.7487483,0.99619229,0.76613686,1,3,0,6.8444226,0.24525533 +-6.7581261,0.99604237,0.76613686,2,3,0,6.7813565,0.26804383 +-6.7489904,0.99802077,0.76613686,2,3,0,6.7765387,0.24452524 +-6.7993094,0.94101521,0.76613686,2,3,0,7.273942,0.29138232 +-6.7993094,0.7129261,0.76613686,1,3,0,8.6902128,0.29138232 +-6.7855231,0.98072003,0.76613686,1,3,0,6.9481568,0.21685189 +-7.2028627,0.88376936,0.76613686,2,3,0,7.770525,0.14500848 +-6.8188929,0.94795246,0.76613686,1,3,0,7.8380701,0.2989041 +-7.0896252,0.96564508,0.76613686,2,7,0,7.11808,0.15723741 +-7.1493674,0.99741576,0.76613686,2,3,0,7.1818469,0.15049735 +-6.8038878,0.99332557,0.76613686,3,7,0,7.150201,0.20984704 +-7.0280809,0.93384959,0.76613686,1,3,0,7.4148783,0.35029693 +-6.8589842,1,0.76613686,1,1,0,6.9920233,0.31171956 +-6.8310642,0.98693524,0.76613686,2,3,0,6.9962422,0.3030889 +-6.8310642,0.82180659,0.76613686,1,3,0,7.9396034,0.3030889 +-6.960294,0.91122289,0.76613686,1,3,0,7.4446874,0.17499374 +-6.7531032,0.99350506,0.76613686,1,3,0,7.0045971,0.23754196 +-8.9269927,0.78247636,0.76613686,2,7,0,8.9395186,0.061766438 +-6.9272419,0.92937043,0.76613686,1,3,0,9.6501915,0.18056735 +-6.987234,0.99133208,0.76613686,1,1,0,6.9996605,0.17082938 +-7.6472862,0.94052236,0.76613686,2,3,0,7.7939293,0.11137444 +-7.4299828,1,0.76613686,1,1,0,7.6536138,0.12574232 +-8.097968,0.94536967,0.76613686,2,3,0,8.4338547,0.088928705 +-8.3127483,0.98342931,0.76613686,1,1,0,8.3924594,0.080539066 +-8.1432389,1,0.76613686,1,1,0,8.3963459,0.087060015 +-8.0959112,1,0.76613686,1,1,0,8.2757215,0.089014982 +-7.6897305,1,0.76613686,1,1,0,8.0735491,0.10889615 +-6.9343827,0.89858028,0.76613686,1,3,0,9.2286525,0.33093871 +-6.7481205,1,0.76613686,2,3,0,6.910625,0.24824558 +-6.7481205,0.87286779,0.76613686,1,3,0,7.5880514,0.24824558 +-6.748065,1,0.76613686,2,3,0,6.7481103,0.24883802 +-6.9990876,0.94935836,0.76613686,1,3,0,7.1110036,0.34467734 +-6.9546371,1,0.76613686,2,7,0,6.9876598,0.17590853 +-8.1589845,0.91964619,0.76613686,2,7,0,8.1637098,0.48640158 +-6.7575785,1,0.76613686,2,3,0,8.0069099,0.23298977 +-6.8150053,0.97329441,0.76613686,2,3,0,7.0056199,0.29749751 +-6.856832,0.99120814,0.76613686,1,1,0,6.8618603,0.31109326 +-6.7544061,1,0.76613686,2,3,0,6.8374781,0.2360556 +-7.2758172,0.93812691,0.76613686,2,3,0,7.2864307,0.13819391 +-7.2416159,0.91647995,0.76613686,2,3,0,8.5308544,0.1413014 +-7.1803586,1,0.76613686,1,1,0,7.2769092,0.14726136 +-6.7482844,0.98383337,0.76613686,1,3,0,7.3786206,0.2471423 +-6.8270439,0.98251484,0.76613686,1,3,0,6.8711756,0.30174048 +-7.1860585,0.84667223,0.76613686,2,7,0,7.9540784,0.14668335 +-7.3132846,0.99489117,0.76613686,2,3,0,7.3398014,0.1349483 +-8.0847794,0.93796767,0.76613686,2,7,0,8.2635443,0.47977685 +-9.3897247,0.89420851,0.76613686,3,7,0,9.4932559,0.57678457 +-7.6396733,1,0.76613686,1,1,0,8.9656267,0.43545115 +-7.8940514,0.93908836,0.76613686,1,1,0,8.0445927,0.46184458 +-8.3087507,0.98039871,0.76613686,2,7,0,8.3161759,0.080684822 +-6.8459176,0.94780704,0.76613686,1,3,0,8.7842115,0.19758645 +-6.7874348,0.97997148,0.76613686,1,3,0,7.0459382,0.28613853 +-6.842813,0.98617215,0.76613686,2,3,0,6.9199448,0.3068639 +-6.8497203,0.95411274,0.76613686,1,3,0,7.204179,0.19663821 +-6.7587216,0.99840557,0.76613686,3,7,0,6.8514032,0.23201816 +-6.9564843,0.98226191,0.76613686,2,3,0,6.957065,0.33584721 +-6.799772,0.8079925,0.76613686,2,3,0,8.4944237,0.21129296 +-6.9633956,0.77792775,0.76613686,2,3,0,9.37642,0.33733244 +-6.8016366,0.95802402,0.76613686,1,3,0,7.2845724,0.21063043 +-6.8687945,0.96675983,0.76613686,2,7,0,7.1248833,0.31450554 +-6.9609665,0.90264632,0.76613686,1,3,0,7.5418701,0.17488598 +-7.3171333,0.96125659,0.76613686,2,3,0,7.4791785,0.13462367 +-7.1161578,1,0.76613686,1,1,0,7.2998933,0.15415552 +-6.9498572,1,0.76613686,2,3,0,7.094081,0.1766934 +-7.0693447,0.98330292,0.76613686,1,1,0,7.0745581,0.15969959 +-7.2750001,0.97394893,0.76613686,1,1,0,7.2793815,0.13826648 +-7.6084316,0.96328183,0.76613686,1,1,0,7.6120231,0.11372724 +-7.4830776,1,0.76613686,1,1,0,7.6514977,0.12193749 +-7.1914249,1,0.76613686,2,3,0,7.4519462,0.14614381 +-7.5414911,0.96470422,0.76613686,3,7,0,7.7598332,0.42430353 +-6.7759041,0.94947107,0.76613686,1,3,0,7.9799963,0.22128438 +-8.6188197,0.65496656,0.76613686,1,3,0,10.013181,0.070365832 # -# Elapsed Time: 0.014107 seconds (Warm-up) -# 0.002773 seconds (Sampling) -# 0.01688 seconds (Total) +# Elapsed Time: 0.001 seconds (Warm-up) +# 0 seconds (Sampling) +# 0.001 seconds (Total) # diff --git a/test/data/runset-good/bern-1_config.json b/test/data/runset-good/bern-1_config.json new file mode 100644 index 00000000..f832a226 --- /dev/null +++ b/test/data/runset-good/bern-1_config.json @@ -0,0 +1,66 @@ + +{ + "stan_major_version" : "2", + "stan_minor_version" : "37", + "stan_patch_version" : "0", + "model_name" : "bernoulli_model", + "start_datetime" : "2026-07-20 16:58:36 UTC", + "method" : { + "value" : "sample", + "sample" : { + "num_samples" : 100, + "num_warmup" : 1000, + "save_warmup" : false, + "thin" : 1, + "adapt" : { + "engaged" : true, + "gamma" : 0.05, + "delta" : 0.8, + "kappa" : 0.75, + "t0" : 10, + "init_buffer" : 75, + "term_buffer" : 50, + "window" : 25, + "save_metric" : true + }, + "algorithm" : { + "value" : "hmc", + "hmc" : { + "engine" : { + "value" : "nuts", + "nuts" : { + "max_depth" : 10 + } + }, + "metric" : { + "value" : "diag_e" + }, + "metric_file" : "", + "stepsize" : 1, + "stepsize_jitter" : 0 + } + }, + "num_chains" : 1 + } + }, + "id" : 1, + "data" : { + "file" : "test\/data\/bernoulli.data.json" + }, + "init" : "2", + "random" : { + "seed" : 12345 + }, + "output" : { + "file" : "\/tmp\/tmpuisjazeu\/bernoullik799pfr2\/bernoulli-20260720125836_1.csv", + "diagnostic_file" : "", + "refresh" : 100, + "sig_figs" : 8, + "profile_file" : "profile.csv", + "save_cmdstan_config" : true + }, + "num_threads" : 1, + "mpi_enabled" : false, + "stanc_version" : "stanc3 v2.37.0", + "stancflags" : "--filename-in-msg=bernoulli.stan" +} diff --git a/test/data/runset-good/bern-1_metric.json b/test/data/runset-good/bern-1_metric.json new file mode 100644 index 00000000..f17d4625 --- /dev/null +++ b/test/data/runset-good/bern-1_metric.json @@ -0,0 +1,6 @@ + +{ + "stepsize" : 0.76613686, + "metric_type" : "diag_e", + "inv_metric" : [ 0.56753687 ] +} diff --git a/test/data/runset-good/bern-2.csv b/test/data/runset-good/bern-2.csv index 6772152b..9ff6e971 100644 --- a/test/data/runset-good/bern-2.csv +++ b/test/data/runset-good/bern-2.csv @@ -1,148 +1,157 @@ # stan_version_major = 2 -# stan_version_minor = 19 -# stan_version_patch = 1 +# stan_version_minor = 37 +# stan_version_patch = 0 # model = bernoulli_model +# start_datetime = 2026-07-20 16:58:36 UTC # method = sample (Default) # sample # num_samples = 100 # num_warmup = 1000 (Default) -# save_warmup = 0 (Default) +# save_warmup = false (Default) # thin = 1 (Default) # adapt -# engaged = 1 (Default) -# gamma = 0.050000000000000003 (Default) -# delta = 0.94999999999999996 +# engaged = true (Default) +# gamma = 0.05 (Default) +# delta = 0.8 (Default) # kappa = 0.75 (Default) # t0 = 10 (Default) # init_buffer = 75 (Default) # term_buffer = 50 (Default) # window = 25 (Default) +# save_metric = true # algorithm = hmc (Default) # hmc # engine = nuts (Default) # nuts -# max_depth = 11 +# max_depth = 10 (Default) # metric = diag_e (Default) # metric_file = (Default) # stepsize = 1 (Default) # stepsize_jitter = 0 (Default) +# num_chains = 1 (Default) # id = 2 # data -# file = /Users/mitzi/github/stan-dev/cmdstanpy/test/files-data/bernoulli.data.json +# file = test/data/bernoulli.data.json # init = 2 (Default) # random # seed = 12345 # output -# file = /Users/mitzi/github/stan-dev/cmdstanpy/test/files-tmp/test1-bernoulli.output-2.csv +# file = /tmp/tmpuisjazeu/bernoullik799pfr2/bernoulli-20260720125836_2.csv # diagnostic_file = (Default) # refresh = 100 (Default) +# sig_figs = 8 (Default) +# profile_file = profile.csv (Default) +# save_cmdstan_config = true +# num_threads = 1 (Default) +# stanc_version = stanc3 v2.37.0 +# stancflags = --filename-in-msg=bernoulli.stan lp__,accept_stat__,stepsize__,treedepth__,n_leapfrog__,divergent__,energy__,theta # Adaptation terminated -# Step size = 0.667781 +# Step size = 1.07501 # Diagonal elements of inverse mass matrix: -# 0.615988 --6.88297,0.945428,0.667781,1,3,0,7.24357,0.189092 --6.97565,0.996214,0.667781,2,3,0,6.97612,0.172583 --6.79157,0.96117,0.667781,3,7,0,7.53504,0.288042 --6.7485,0.990979,0.667781,2,3,0,6.88023,0.253862 --6.79526,0.988549,0.667781,1,3,0,6.84665,0.212953 --6.75066,1,0.667781,2,3,0,6.79085,0.240986 --6.78744,0.990649,0.667781,1,3,0,6.84224,0.286141 --7.38476,0.936128,0.667781,3,7,0,7.46825,0.405054 --7.25354,0.945462,0.667781,2,3,0,8.06724,0.387149 --7.63701,0.92666,0.667781,1,1,0,7.65773,0.435157 --7.79754,0.888012,0.667781,2,3,0,9.0792,0.452204 --7.79754,0.879655,0.667781,1,1,0,8.36672,0.452204 --7.19773,1,0.667781,3,7,0,7.77293,0.145516 --6.75111,0.998333,0.667781,2,7,0,7.13541,0.240268 --7.96512,0.904611,0.667781,2,3,0,7.98487,0.468689 --7.64858,1,0.667781,3,7,0,8.04763,0.436432 --8.11048,0.849524,0.667781,2,3,0,9.49586,0.482092 --8.26766,0.968154,0.667781,1,1,0,8.49099,0.495789 --7.37127,1,0.667781,2,3,0,8.08813,0.403298 --7.80894,0.878477,0.667781,2,3,0,8.77969,0.453365 --9.63209,0.895999,0.667781,2,3,0,9.63215,0.591467 --7.52826,0.90926,0.667781,2,3,0,10.7253,0.422753 --6.96784,0.964158,0.667781,3,7,0,8.00959,0.173796 --7.19499,0.897751,0.667781,1,3,0,8.51376,0.378469 --6.85101,0.916811,0.667781,1,3,0,8.08971,0.196321 --7.11046,0.921861,0.667781,1,3,0,7.91799,0.364952 --6.82403,0.930997,0.667781,1,3,0,7.8047,0.203497 --6.86982,0.961593,0.667781,1,3,0,7.28917,0.314791 --7.2305,0.809914,0.667781,1,3,0,8.51706,0.142343 --7.48853,0.842633,0.667781,1,3,0,10.0581,0.418017 --8.49987,0.813869,0.667781,1,1,0,8.50379,0.514736 --6.79063,1,0.667781,2,3,0,8.23002,0.214747 --6.80786,0.981973,0.667781,2,3,0,6.98838,0.208504 --7.29817,0.954657,0.667781,2,3,0,7.31684,0.136238 --6.75479,0.98933,0.667781,3,7,0,7.45719,0.235647 --6.85476,0.976019,0.667781,2,3,0,6.97573,0.195412 --6.78626,0.97516,0.667781,1,3,0,7.13806,0.285579 --6.92219,0.982346,0.667781,2,3,0,6.97724,0.328115 --6.75157,0.977287,0.667781,2,3,0,7.16644,0.23957 --6.89115,0.969808,0.667781,1,3,0,7.04143,0.320486 --7.77068,0.888725,0.667781,2,3,0,8.09303,0.449445 --8.88135,0.796082,0.667781,1,1,0,8.90229,0.543124 --8.05473,1,0.667781,2,3,0,8.79802,0.477041 --8.0113,1,0.667781,3,7,0,8.034,0.0926732 --8.01284,0.994518,0.667781,3,7,0,8.07189,0.473174 --7.75541,1,0.667781,1,1,0,8.08887,0.44786 --7.77856,0.99529,0.667781,1,1,0,7.96537,0.450258 --7.82828,0.996634,0.667781,2,3,0,8.01231,0.45532 --7.37064,1,0.667781,1,1,0,7.76491,0.403215 --7.55288,0.964244,0.667781,1,1,0,7.62358,0.425629 --7.95769,0.921,0.667781,1,1,0,8.02189,0.467983 --7.35216,1,0.667781,3,7,0,7.8844,0.13174 --7.2158,1,0.667781,1,1,0,7.35474,0.143747 --6.82358,0.961441,0.667781,3,7,0,7.89537,0.300553 --6.81844,1,0.667781,1,1,0,6.83284,0.29874 --6.781,0.892365,0.667781,3,7,0,7.78959,0.282981 --6.79806,0.976835,0.667781,1,3,0,6.98554,0.211914 --6.77408,0.988465,0.667781,2,3,0,6.92968,0.222212 --6.81298,0.981509,0.667781,2,3,0,6.96208,0.206848 --6.89956,0.965117,0.667781,2,3,0,7.18889,0.185729 --6.98631,0.9895,0.667781,1,1,0,6.98789,0.170968 --6.75763,1,0.667781,2,3,0,6.95814,0.232942 --7.19936,0.91989,0.667781,1,3,0,7.50129,0.145354 --7.27723,0.99221,0.667781,1,1,0,7.30548,0.138068 --7.59427,0.917842,0.667781,2,3,0,8.57077,0.114606 --7.33191,1,0.667781,1,1,0,7.57497,0.133392 --7.09434,1,0.667781,1,1,0,7.30718,0.156678 --6.75342,0.989262,0.667781,2,7,0,7.27637,0.237159 --6.75511,0.997176,0.667781,1,3,0,6.78296,0.265071 --6.76167,0.998892,0.667781,3,7,0,6.76904,0.271024 --6.87016,0.919199,0.667781,2,3,0,7.54567,0.314884 --6.92692,0.989859,0.667781,1,1,0,6.93458,0.32922 --6.87333,0.924502,0.667781,1,3,0,7.60455,0.191158 --7.64634,0.870511,0.667781,1,3,0,9.05271,0.436187 --7.03262,0.999146,0.667781,3,7,0,7.75472,0.164425 --6.93143,0.991057,0.667781,3,7,0,7.19565,0.330263 --6.75355,0.991888,0.667781,3,7,0,7.03307,0.237008 --6.75355,0.682991,0.667781,1,3,0,9.77959,0.237008 --6.75021,0.998352,0.667781,2,3,0,6.77064,0.241783 --7.1574,0.934226,0.667781,2,3,0,7.47825,0.372618 --6.75071,1,0.667781,2,3,0,7.09275,0.240912 --6.83235,0.991699,0.667781,2,3,0,6.83426,0.20115 --6.79062,0.985172,0.667781,3,7,0,7.02699,0.214752 --7.83582,0.735769,0.667781,3,7,0,10.4784,0.456079 --7.27903,0.932695,0.667781,3,7,0,8.77904,0.137909 --7.15727,1,0.667781,1,1,0,7.28112,0.149657 --8.47064,0.907989,0.667781,2,3,0,8.52709,0.07506 --8.91711,0.976413,0.667781,1,1,0,8.93717,0.0620207 --9.02563,0.994913,0.667781,1,1,0,9.15494,0.0592997 --8.84392,0.990225,0.667781,2,3,0,9.69852,0.0639452 --8.20269,1,0.667781,1,1,0,8.80627,0.0846904 --7.76438,1,0.667781,2,3,0,8.17358,0.104752 --7.52077,1,0.667781,1,1,0,7.75973,0.119362 --7.53986,0.998355,0.667781,1,1,0,7.61656,0.118094 --9.96208,0.858902,0.667781,2,3,0,9.98026,0.0409568 --9.27697,1,0.667781,1,1,0,9.94324,0.0535453 --6.8647,0.950221,0.667781,1,3,0,11.1588,0.193088 --6.97689,0.785496,0.667781,3,7,0,10.3595,0.172393 --7.5265,0.959737,0.667781,2,3,0,7.61067,0.118979 --7.15752,0.992443,0.667781,3,7,0,7.67596,0.149631 +# 0.408606 +-6.9790249,1,1.0750124,2,3,0,7.2068685,0.17206648 +-7.1694994,0.91887577,1.0750124,1,3,0,7.6963664,0.37452719 +-7.1010086,1,1.0750124,1,1,0,7.245302,0.36335431 +-8.1532916,0.69834328,1.0750124,1,1,0,8.1817503,0.48589973 +-6.9596473,1,1.0750124,1,1,0,7.7565735,0.33652969 +-6.8077667,0.90268605,1.0750124,2,3,0,7.4372147,0.2947721 +-6.9465646,0.88648322,1.0750124,2,3,0,7.3936658,0.17724061 +-7.4692166,0.92422618,1.0750124,1,3,0,7.4743938,0.12291022 +-7.5328071,0.99047875,1.0750124,1,1,0,7.6491059,0.11855909 +-7.4931582,1,1.0750124,2,3,0,7.6543813,0.1212388 +-7.6145133,0.98233435,1.0750124,1,1,0,7.7169058,0.11335344 +-6.9821424,0.98492043,1.0750124,2,3,0,7.8451966,0.17159353 +-6.8247035,1,1.0750124,1,1,0,6.9477564,0.2033023 +-7.6386188,0.86000608,1.0750124,1,3,0,7.7433404,0.11189212 +-7.7041915,0.99094536,1.0750124,1,1,0,7.8437858,0.10807258 +-7.9099499,0.94591512,1.0750124,2,3,0,8.7751042,0.097357739 +-6.9329079,0.88261279,1.0750124,1,3,0,8.7034502,0.33060188 +-6.8036123,0.91617625,1.0750124,2,3,0,7.3484249,0.2931374 +-6.7554263,0.99647659,1.0750124,1,3,0,6.8256911,0.234998 +-6.7609172,0.99861107,1.0750124,1,1,0,6.7618373,0.23029271 +-7.233174,0.89993386,1.0750124,1,3,0,7.319565,0.14209137 +-6.7996735,0.99264297,1.0750124,2,3,0,7.3015345,0.21132832 +-6.8606185,0.98606204,1.0750124,1,1,0,6.8634236,0.19402716 +-6.8264215,1,1.0750124,1,1,0,6.864215,0.20280876 +-6.9833452,0.96617852,1.0750124,1,1,0,6.9836108,0.1714121 +-6.9225008,1,1.0750124,1,1,0,6.9958435,0.18141603 +-6.8775957,1,1.0750124,1,1,0,6.9324561,0.19023296 +-6.8133764,0.9707008,1.0750124,2,3,0,7.1262571,0.2968968 +-7.0337304,0.97361184,1.0750124,2,3,0,7.0352694,0.35136035 +-7.0173872,1,1.0750124,1,1,0,7.1076886,0.34825676 +-7.0173872,0.68776539,1.0750124,1,3,0,8.2912239,0.34825676 +-6.8835834,0.80873973,1.0750124,2,3,0,7.952896,0.3185142 +-7.2156345,0.85034836,1.0750124,1,3,0,7.7687868,0.14376355 +-6.7795,1,1.0750124,2,3,0,7.1125444,0.28220185 +-11.679138,0.38678961,1.0750124,2,3,0,11.93228,0.69102281 +-12.7398,1,1.0750124,2,7,0,12.740109,0.014975594 +-8.0706528,0.95579247,1.0750124,1,3,0,13.80292,0.090084521 +-6.901155,0.87611399,1.0750124,1,3,0,8.8763532,0.32302249 +-6.750974,0.99834243,1.0750124,1,3,0,6.9064322,0.24047791 +-6.8345891,0.98348646,1.0750124,2,3,0,6.8700868,0.20054124 +-6.8488961,0.99677749,1.0750124,1,1,0,6.8660752,0.19684201 +-7.3426438,0.7195287,1.0750124,2,3,0,8.982269,0.13251076 +-7.4240533,0.98708638,1.0750124,1,1,0,7.5159454,0.12618089 +-7.5544985,0.951272,1.0750124,2,3,0,8.2666907,0.11713713 +-7.3490582,1,1.0750124,1,1,0,7.5836542,0.1319898 +-7.001381,1,1.0750124,2,3,0,7.2868155,0.16875749 +-6.8191233,0.96797533,1.0750124,1,3,0,7.2048232,0.29898633 +-6.7754026,0.97396499,1.0750124,2,3,0,6.9638017,0.2799826 +-6.787578,0.99650752,1.0750124,1,1,0,6.7930542,0.28620591 +-6.9974568,0.92607816,1.0750124,2,3,0,7.2099407,0.16932487 +-8.6658843,0.7820296,1.0750124,1,3,0,8.9300406,0.068956423 +-7.4061729,0.94562023,1.0750124,1,3,0,8.5225169,0.127521 +-6.7965576,1,1.0750124,2,3,0,7.2560354,0.29022322 +-6.7872095,1,1.0750124,2,3,0,6.8031045,0.28603225 +-6.7623338,1,1.0750124,2,3,0,6.7811004,0.27153486 +-6.7623338,0.7146417,1.0750124,1,3,0,8.1345294,0.27153486 +-6.8223562,0.98297173,1.0750124,1,1,0,6.8223598,0.30012699 +-7.0507853,0.8720874,1.0750124,2,3,0,7.5611507,0.16204194 +-6.9239241,1,1.0750124,2,3,0,7.0389854,0.18115983 +-6.7861292,0.94643743,1.0750124,2,3,0,7.3394301,0.28551864 +-6.8669838,0.96327602,1.0750124,1,3,0,6.9992562,0.19256843 +-7.0173256,0.96875662,1.0750124,1,1,0,7.0210582,0.16650672 +-6.8754897,1,1.0750124,2,3,0,6.9929669,0.19068743 +-6.8754897,0.89191922,1.0750124,1,3,0,7.4991606,0.19068743 +-6.8754897,0.95222208,1.0750124,1,3,0,7.1215192,0.19068743 +-7.0097772,0.99072124,1.0750124,2,3,0,7.0159107,0.1675616 +-6.8355935,0.98615688,1.0750124,2,3,0,7.1636593,0.20027079 +-7.7566604,0.89349965,1.0750124,2,3,0,7.9925768,0.44799054 +-7.1691002,1,1.0750124,2,3,0,7.6260937,0.3744646 +-6.7482159,1,1.0750124,1,3,0,7.1189184,0.24754239 +-6.7480247,1,1.0750124,1,3,0,6.7481873,0.24969705 +-7.0144951,0.93540961,1.0750124,1,3,0,7.054451,0.34769865 +-6.7491936,0.9899661,1.0750124,2,3,0,7.0796804,0.24398133 +-7.1233626,0.93950474,1.0750124,2,3,0,7.1895711,0.15334391 +-6.8553301,0.9520569,1.0750124,1,3,0,7.4346889,0.31065279 +-6.8994539,0.98657658,1.0750124,1,1,0,6.9234304,0.32259688 +-6.7538389,0.98032319,1.0750124,2,3,0,7.0161238,0.26364163 +-6.867079,0.90055569,1.0750124,2,3,0,7.3345757,0.19254696 +-6.9534012,0.98169607,1.0750124,1,1,0,6.9639827,0.17611041 +-6.9534012,0.36621091,1.0750124,1,3,0,13.039489,0.17611041 +-6.7600078,0.94076047,1.0750124,2,3,0,7.5122711,0.26967814 +-6.8039798,0.92781936,1.0750124,2,3,0,7.1420677,0.2098154 +-6.7514048,0.93388979,1.0750124,2,3,0,7.3100192,0.2398132 +-6.7719591,0.99346996,1.0750124,1,3,0,6.7871941,0.27799127 +-6.7842435,0.99649031,1.0750124,1,1,0,6.7887625,0.2846052 +-7.3482483,0.71734321,1.0750124,2,3,0,8.3745291,0.40025921 +-6.9145005,1,1.0750124,1,1,0,7.2195902,0.32628869 +-6.8782729,0.94954486,1.0750124,1,3,0,7.2040468,0.19008771 +-6.7505797,0.99484344,1.0750124,1,3,0,6.8977354,0.25901087 +-6.832708,0.98092564,1.0750124,1,3,0,6.837764,0.30363143 +-6.8743489,0.90362213,1.0750124,2,3,0,7.3179559,0.3160364 +-7.5774423,0.71118379,1.0750124,1,3,0,8.4001948,0.11566521 +-6.852463,0.99405799,1.0750124,1,3,0,7.4893089,0.19596669 +-6.9856278,0.97183015,1.0750124,1,1,0,6.9890992,0.17106935 +-6.9854795,0.9746995,1.0750124,2,3,0,7.3313766,0.17109156 +-7.1190875,0.79002367,1.0750124,2,3,0,8.8895101,0.15382424 +-7.0342075,1,1.0750124,1,1,0,7.1431511,0.16421281 +-7.0434625,0.99940251,1.0750124,2,3,0,7.1032339,0.16299133 +-6.9932162,1,1.0750124,1,1,0,7.0744215,0.16994426 +-6.7558708,0.99729141,1.0750124,2,3,0,7.0086359,0.23456079 # -# Elapsed Time: 0.013443 seconds (Warm-up) -# 0.002787 seconds (Sampling) -# 0.01623 seconds (Total) +# Elapsed Time: 0.001 seconds (Warm-up) +# 0 seconds (Sampling) +# 0.001 seconds (Total) # diff --git a/test/data/runset-good/bern-2_config.json b/test/data/runset-good/bern-2_config.json new file mode 100644 index 00000000..957b5939 --- /dev/null +++ b/test/data/runset-good/bern-2_config.json @@ -0,0 +1,66 @@ + +{ + "stan_major_version" : "2", + "stan_minor_version" : "37", + "stan_patch_version" : "0", + "model_name" : "bernoulli_model", + "start_datetime" : "2026-07-20 16:58:36 UTC", + "method" : { + "value" : "sample", + "sample" : { + "num_samples" : 100, + "num_warmup" : 1000, + "save_warmup" : false, + "thin" : 1, + "adapt" : { + "engaged" : true, + "gamma" : 0.05, + "delta" : 0.8, + "kappa" : 0.75, + "t0" : 10, + "init_buffer" : 75, + "term_buffer" : 50, + "window" : 25, + "save_metric" : true + }, + "algorithm" : { + "value" : "hmc", + "hmc" : { + "engine" : { + "value" : "nuts", + "nuts" : { + "max_depth" : 10 + } + }, + "metric" : { + "value" : "diag_e" + }, + "metric_file" : "", + "stepsize" : 1, + "stepsize_jitter" : 0 + } + }, + "num_chains" : 1 + } + }, + "id" : 2, + "data" : { + "file" : "test\/data\/bernoulli.data.json" + }, + "init" : "2", + "random" : { + "seed" : 12345 + }, + "output" : { + "file" : "\/tmp\/tmpuisjazeu\/bernoullik799pfr2\/bernoulli-20260720125836_2.csv", + "diagnostic_file" : "", + "refresh" : 100, + "sig_figs" : 8, + "profile_file" : "profile.csv", + "save_cmdstan_config" : true + }, + "num_threads" : 1, + "mpi_enabled" : false, + "stanc_version" : "stanc3 v2.37.0", + "stancflags" : "--filename-in-msg=bernoulli.stan" +} diff --git a/test/data/runset-good/bern-2_metric.json b/test/data/runset-good/bern-2_metric.json new file mode 100644 index 00000000..cfe069e0 --- /dev/null +++ b/test/data/runset-good/bern-2_metric.json @@ -0,0 +1,6 @@ + +{ + "stepsize" : 1.0750124, + "metric_type" : "diag_e", + "inv_metric" : [ 0.40860607 ] +} diff --git a/test/data/runset-good/bern-3.csv b/test/data/runset-good/bern-3.csv index 6a5aa0a4..28880646 100644 --- a/test/data/runset-good/bern-3.csv +++ b/test/data/runset-good/bern-3.csv @@ -1,148 +1,157 @@ # stan_version_major = 2 -# stan_version_minor = 19 -# stan_version_patch = 1 +# stan_version_minor = 37 +# stan_version_patch = 0 # model = bernoulli_model +# start_datetime = 2026-07-20 16:58:36 UTC # method = sample (Default) # sample # num_samples = 100 # num_warmup = 1000 (Default) -# save_warmup = 0 (Default) +# save_warmup = false (Default) # thin = 1 (Default) # adapt -# engaged = 1 (Default) -# gamma = 0.050000000000000003 (Default) -# delta = 0.94999999999999996 +# engaged = true (Default) +# gamma = 0.05 (Default) +# delta = 0.8 (Default) # kappa = 0.75 (Default) # t0 = 10 (Default) # init_buffer = 75 (Default) # term_buffer = 50 (Default) # window = 25 (Default) +# save_metric = true # algorithm = hmc (Default) # hmc # engine = nuts (Default) # nuts -# max_depth = 11 +# max_depth = 10 (Default) # metric = diag_e (Default) # metric_file = (Default) # stepsize = 1 (Default) # stepsize_jitter = 0 (Default) +# num_chains = 1 (Default) # id = 3 # data -# file = /Users/mitzi/github/stan-dev/cmdstanpy/test/files-data/bernoulli.data.json +# file = test/data/bernoulli.data.json # init = 2 (Default) # random # seed = 12345 # output -# file = /Users/mitzi/github/stan-dev/cmdstanpy/test/files-tmp/test1-bernoulli.output-3.csv +# file = /tmp/tmpuisjazeu/bernoullik799pfr2/bernoulli-20260720125836_3.csv # diagnostic_file = (Default) # refresh = 100 (Default) +# sig_figs = 8 (Default) +# profile_file = profile.csv (Default) +# save_cmdstan_config = true +# num_threads = 1 (Default) +# stanc_version = stanc3 v2.37.0 +# stancflags = --filename-in-msg=bernoulli.stan lp__,accept_stat__,stepsize__,treedepth__,n_leapfrog__,divergent__,energy__,theta # Adaptation terminated -# Step size = 0.662994 +# Step size = 1.03379 # Diagonal elements of inverse mass matrix: -# 0.526522 --7.18698,0.933916,0.662994,3,7,0,7.66467,0.14659 --6.79369,0.993498,0.662994,2,3,0,7.3543,0.213549 --6.80851,0.975713,0.662994,1,3,0,7.10452,0.295059 --6.80575,0.965916,0.662994,3,7,0,7.23857,0.209212 --6.85905,0.962382,0.662994,1,3,0,7.30032,0.311738 --7.29877,0.954705,0.662994,2,3,0,7.41168,0.393541 --6.94077,0.994224,0.662994,3,7,0,7.4382,0.332384 --6.7517,1,0.662994,3,7,0,6.92832,0.239389 --6.85734,0.960132,0.662994,3,7,0,7.32391,0.194798 --6.80384,0.989343,0.662994,2,3,0,7.0147,0.209863 --6.79016,1,0.662994,2,3,0,6.80365,0.214935 --6.83887,0.97276,0.662994,1,3,0,7.18029,0.305624 --6.74853,0.999811,0.662994,3,7,0,6.8443,0.254013 --6.79704,0.988897,0.662994,1,3,0,6.8682,0.212289 --6.87446,0.961291,0.662994,1,3,0,7.30716,0.316067 --6.75282,0.998595,0.662994,3,7,0,6.90383,0.237896 --6.87639,0.980864,0.662994,2,5,0,6.96275,0.190492 --6.77132,1,0.662994,2,3,0,6.87147,0.223685 --6.84167,0.972964,0.662994,1,3,0,7.10533,0.306506 --6.88514,0.993548,0.662994,1,1,0,6.88825,0.318924 --6.86998,0.995393,0.662994,3,7,0,6.98789,0.314835 --6.87698,0.99965,0.662994,2,3,0,6.89216,0.316752 --6.7941,0.99832,0.662994,2,3,0,6.90279,0.289163 --6.75356,0.99235,0.662994,1,3,0,6.89042,0.237 --7.69525,0.883398,0.662994,3,7,0,8.70075,0.108581 --7.54987,1,0.662994,1,1,0,7.71028,0.117438 --7.5653,0.959526,0.662994,2,3,0,8.52728,0.11644 --7.04429,0.981063,0.662994,2,3,0,8.03647,0.162884 --7.07387,0.997228,0.662994,1,1,0,7.09481,0.159142 --7.04599,0.984257,0.662994,2,5,0,7.39003,0.353635 --6.85224,0.906745,0.662994,1,3,0,8.01391,0.196022 --6.77523,0.999997,0.662994,3,7,0,6.84252,0.279887 --6.93495,0.935842,0.662994,1,3,0,7.42931,0.179215 --6.9484,0.978813,0.662994,3,7,0,7.37001,0.334081 --6.96752,0.981701,0.662994,2,5,0,7.18842,0.173846 --6.75117,0.989715,0.662994,1,3,0,7.13321,0.240171 --6.90085,0.986771,0.662994,2,5,0,6.90091,0.185477 --6.97657,0.992248,0.662994,1,1,0,6.97735,0.172441 --6.90085,1,0.662994,2,3,0,6.96957,0.185477 --6.74857,0.991003,0.662994,1,3,0,7.03587,0.245877 --6.90407,0.97058,0.662994,1,3,0,7.07552,0.323747 --6.76116,0.997032,0.662994,3,7,0,6.96942,0.270619 --6.75047,0.997343,0.662994,1,3,0,6.794,0.241314 --7.65996,0.81602,0.662994,1,3,0,8.86015,0.110625 --7.74427,0.994358,0.662994,1,1,0,7.79329,0.105842 --7.402,0.970136,0.662994,2,3,0,8.53599,0.127838 --8.86337,0.920995,0.662994,2,3,0,8.89443,0.0634263 --8.5458,1,0.662994,1,1,0,8.8772,0.0726286 --8.65632,0.994949,0.662994,1,1,0,8.74237,0.06924 --6.9899,0.993817,0.662994,2,5,0,8.44687,0.342835 --6.75173,1,0.662994,2,3,0,6.95909,0.260872 --6.79354,0.989745,0.662994,2,3,0,6.85856,0.288914 --6.78185,0.980225,0.662994,1,3,0,7.0174,0.218461 --6.7523,1,0.662994,3,7,0,6.77999,0.261683 --6.83433,0.98094,0.662994,2,3,0,6.9524,0.304163 --6.82525,1,0.662994,1,1,0,6.841,0.30113 --6.91609,0.933252,0.662994,3,7,0,7.62028,0.32667 --7.3713,0.946918,0.662994,3,7,0,7.66769,0.130214 --7.34929,1,0.662994,1,1,0,7.41876,0.131971 --7.62564,0.979219,0.662994,1,1,0,7.62589,0.112675 --7.46002,1,0.662994,1,1,0,7.6296,0.123563 --7.09516,0.998305,0.662994,2,3,0,7.53167,0.156581 --6.8355,0.995938,0.662994,3,7,0,7.20814,0.200295 --6.80391,0.999116,0.662994,3,7,0,6.86092,0.293255 --7.58334,0.942716,0.662994,3,7,0,7.60347,0.115292 --7.72566,0.992295,0.662994,3,7,0,7.91189,0.44474 --8.35544,0.896951,0.662994,1,1,0,8.38504,0.50312 --8.11719,1,0.662994,3,7,0,8.36207,0.0881283 --7.94934,1,0.662994,1,1,0,8.14761,0.0954956 --6.7826,0.958555,0.662994,1,3,0,9.01245,0.218126 --6.88873,0.957597,0.662994,2,5,0,7.27932,0.319861 --6.75141,0.98436,0.662994,1,3,0,7.07192,0.239807 --7.10451,0.935598,0.662994,1,3,0,7.51752,0.363948 --6.88664,1,0.662994,3,7,0,7.11,0.319318 --7.66666,0.65436,0.662994,1,3,0,10.4614,0.110232 --7.90219,0.984731,0.662994,1,1,0,7.91504,0.0977311 --7.60389,1,0.662994,1,1,0,7.88558,0.114008 --6.84056,0.995747,0.662994,3,7,0,7.71593,0.198958 --7.1999,0.972587,0.662994,2,3,0,7.21811,0.1453 --7.99113,0.976617,0.662994,3,7,0,7.99846,0.471144 --7.14207,1,0.662994,3,7,0,7.91296,0.151283 --6.74858,0.975756,0.662994,1,3,0,7.55097,0.245842 --6.74833,0.999808,0.662994,1,3,0,6.7509,0.253104 --7.79949,0.918078,0.662994,2,3,0,7.80176,0.452403 --7.69192,1,0.662994,1,1,0,7.90086,0.441144 --6.79912,1,0.662994,2,3,0,7.62336,0.291302 --7.22807,0.960213,0.662994,2,3,0,7.27863,0.383434 --7.06293,0.969138,0.662994,3,7,0,7.78927,0.160499 --6.76793,0.962086,0.662994,1,3,0,7.6867,0.275479 --7.08386,0.908093,0.662994,2,3,0,7.77839,0.360404 --6.94504,1,0.662994,1,1,0,7.0646,0.333337 --6.88226,1,0.662994,2,3,0,6.94018,0.318163 --6.91317,0.999304,0.662994,3,7,0,6.92465,0.183127 --6.91317,0.898998,0.662994,1,3,0,8.13789,0.183127 --6.9431,0.996928,0.662994,1,1,0,6.95205,0.177823 --7.83205,0.910477,0.662994,2,5,0,8.26195,0.101209 --7.50373,1,0.662994,1,1,0,7.80932,0.120514 --7.32974,1,0.662994,1,1,0,7.49852,0.133571 --7.13726,1,0.662994,1,1,0,7.31348,0.151807 --7.01935,0.999852,0.662994,3,7,0,7.16867,0.348634 +# 0.444866 +-9.3487087,0.49624245,1.0337943,1,1,0,9.4030212,0.57421926 +-6.7582697,1,1.0337943,1,3,0,8.6886736,0.26817347 +-7.1681487,0.88280285,1.0337943,1,3,0,7.3838385,0.14851706 +-7.0636178,1,1.0337943,1,1,0,7.1900138,0.16041293 +-7.5124379,0.92362496,1.0337943,1,1,0,7.5135873,0.11992241 +-6.8658787,0.9901729,1.0337943,2,3,0,7.6278912,0.19281843 +-6.9455165,0.98294105,1.0337943,1,1,0,6.9570896,0.17741593 +-6.7490886,0.93117787,1.0337943,2,3,0,7.6428896,0.25580356 +-6.9732381,0.94636091,1.0337943,1,3,0,6.9959373,0.33941033 +-7.6128532,0.80799287,1.0337943,1,1,0,7.6296513,0.43246678 +-6.9686636,0.89579057,1.0337943,1,3,0,8.1734071,0.17366703 +-6.763701,1,1.0337943,1,3,0,6.9352281,0.22831204 +-6.7701084,0.99840017,1.0337943,1,1,0,6.7727986,0.22436156 +-6.7619239,0.9046887,1.0337943,2,3,0,7.3821685,0.22955291 +-6.7505706,0.99999255,1.0337943,1,3,0,6.7590304,0.24114681 +-6.7505706,0.39766584,1.0337943,1,3,0,10.036768,0.24114681 +-8.3354734,0.68432781,1.0337943,1,3,0,8.5344071,0.50147127 +-6.8020393,0.61326263,1.0337943,2,3,0,10.386075,0.2925035 +-6.7905357,0.96674199,1.0337943,2,3,0,6.9772723,0.28757281 +-6.7502854,0.99855885,1.0337943,1,3,0,6.7978305,0.24165284 +-7.1693684,0.89891359,1.0337943,1,3,0,7.249209,0.37450665 +-6.7769445,0.98456724,1.0337943,1,3,0,7.2418351,0.22076914 +-6.8324909,0.98678774,1.0337943,1,1,0,6.8329676,0.20111192 +-6.7565062,0.99378265,1.0337943,1,3,0,6.864107,0.26651374 +-6.9250174,0.96151021,1.0337943,1,3,0,6.930767,0.3287784 +-6.9250174,0.76118063,1.0337943,1,1,0,7.4798673,0.3287784 +-6.8541841,1,1.0337943,1,1,0,6.9236392,0.31031477 +-7.5379999,0.88568871,1.0337943,2,3,0,7.5388759,0.11821593 +-6.8758062,0.91725294,1.0337943,1,3,0,8.0346167,0.31643287 +-6.8758062,0.62982847,1.0337943,1,3,0,8.473358,0.31643287 +-6.9855011,0.91211404,1.0337943,1,3,0,7.3424719,0.17108833 +-7.0331438,0.94160117,1.0337943,1,3,0,7.5130911,0.35125038 +-6.8785976,0.95748117,1.0337943,2,3,0,7.3439973,0.19001824 +-6.9333794,0.9960925,1.0337943,2,3,0,6.9514872,0.17948837 +-7.2034273,0.91386977,1.0337943,1,3,0,7.6602496,0.37975105 +-7.8585238,0.79766702,1.0337943,1,1,0,7.9356093,0.45834405 +-7.1547646,1,1.0337943,1,1,0,7.6765371,0.37219841 +-7.1685928,0.99539644,1.0337943,1,1,0,7.2941146,0.374385 +-6.8959998,1,1.0337943,1,1,0,7.0968424,0.32172581 +-6.9019834,0.99813709,1.0337943,1,1,0,6.9449022,0.32322895 +-6.9019834,0.83469963,1.0337943,1,3,0,7.7087875,0.32322895 +-6.7901962,0.98207494,1.0337943,1,3,0,7.0093318,0.21491956 +-6.7676721,1,1.0337943,1,1,0,6.7860863,0.22578206 +-6.9714512,0.94397461,1.0337943,1,3,0,7.0729734,0.33903623 +-6.9714512,0.9320035,1.0337943,1,1,0,7.1572437,0.33903623 +-7.0218387,0.88709268,1.0337943,1,3,0,7.5483023,0.16588483 +-6.8518773,0.98441906,1.0337943,2,3,0,7.2002965,0.19610924 +-7.0329916,0.961914,1.0337943,1,1,0,7.0338773,0.16437513 +-7.377296,0.97967964,1.0337943,2,3,0,7.381856,0.12974327 +-8.3078655,0.87737456,1.0337943,1,3,0,8.3101402,0.080717149 +-8.5892187,0.97211981,1.0337943,1,1,0,8.7372457,0.071271718 +-6.7760844,0.95151265,1.0337943,1,3,0,8.8102349,0.22119434 +-6.7760844,0.83241972,1.0337943,1,3,0,7.537472,0.22119434 +-6.8412035,0.97694426,1.0337943,1,3,0,6.9240971,0.30636019 +-6.7807321,1,1.0337943,1,1,0,6.8257524,0.28284184 +-6.8957252,0.9663882,1.0337943,1,1,0,6.8961531,0.32165616 +-6.7481598,1,1.0337943,1,3,0,6.8750148,0.25208075 +-7.3566725,0.84890442,1.0337943,1,3,0,7.5820223,0.13137659 +-7.242731,1,1.0337943,1,1,0,7.4058522,0.14119775 +-8.1189338,0.88326697,1.0337943,1,3,0,8.1241249,0.088056141 +-7.4122578,0.9777675,1.0337943,2,3,0,8.6443154,0.12706194 +-6.7484704,0.97600022,1.0337943,1,3,0,7.486633,0.25375704 +-7.2026441,0.88435829,1.0337943,1,3,0,7.367568,0.14503 +-7.6857261,0.97487126,1.0337943,2,3,0,7.6918469,0.10912604 +-7.1480154,1,1.0337943,1,1,0,7.5972192,0.15064227 +-7.4309361,0.95256308,1.0337943,1,1,0,7.4528818,0.12567206 +-7.3820542,1,1.0337943,1,1,0,7.5318153,0.12937201 +-7.0532106,1,1.0337943,1,1,0,7.3298842,0.16173073 +-7.0532106,0.91795311,1.0337943,1,1,0,7.4496628,0.16173073 +-9.4627924,0.61656213,1.0337943,1,3,0,10.575095,0.58129523 +-7.5684859,1,1.0337943,1,1,0,8.9032302,0.42743105 +-6.9407164,1,1.0337943,2,3,0,7.3716293,0.33237148 +-6.7563657,1,1.0337943,1,3,0,6.8944279,0.26637464 +-7.9878346,0.79903558,1.0337943,2,3,0,8.0286324,0.093727207 +-7.4854308,1,1.0337943,1,1,0,7.9421398,0.12177374 +-6.7499624,0.90095844,1.0337943,2,3,0,8.5274357,0.24226697 +-6.8400161,0.9759825,1.0337943,1,3,0,6.8674896,0.30598599 +-6.771446,1,1.0337943,1,1,0,6.8205124,0.27768304 +-6.7854995,0.99595785,1.0337943,1,1,0,6.7897012,0.28521603 +-6.7854995,0.83030199,1.0337943,1,3,0,7.5430123,0.28521603 +-6.9301834,0.90950234,1.0337943,2,3,0,7.2973492,0.18004752 +-6.9301834,0.91707665,1.0337943,1,3,0,7.4121525,0.18004752 +-7.4201004,0.92812749,1.0337943,1,3,0,7.4244206,0.12647487 +-6.7628952,0.95913505,1.0337943,1,3,0,7.5868551,0.27196056 +-6.9061497,0.9684051,1.0337943,1,3,0,6.9077164,0.32425971 +-7.1308002,0.93042536,1.0337943,1,1,0,7.1522102,0.36832651 +-7.5746611,0.65099229,1.0337943,1,3,0,8.8711064,0.11584191 +-7.5667498,1,1.0337943,1,1,0,7.7235948,0.11634714 +-6.8465561,1,1.0337943,2,3,0,7.3776747,0.30802013 +-7.1301115,0.9145114,1.0337943,1,1,0,7.1349342,0.36821361 +-6.7495787,1,1.0337943,1,3,0,7.0581257,0.2570183 +-6.9344883,0.95586279,1.0337943,1,3,0,6.9513789,0.33096278 +-6.7574005,0.96977661,1.0337943,2,3,0,7.113276,0.2673745 +-7.9557844,0.55054685,1.0337943,2,3,0,9.5521449,0.4678017 +-8.3187808,0.87875614,1.0337943,1,1,0,8.6775687,0.50008454 +-8.1932634,1,1.0337943,1,1,0,8.7470563,0.48940166 +-6.7862002,1,1.0337943,1,3,0,8.1722321,0.2165642 +-6.9629079,0.94757013,1.0337943,1,3,0,7.1001884,0.33722835 +-6.9256527,0.79301276,1.0337943,2,3,0,7.9850941,0.32892657 +-6.9371094,0.92550103,1.0337943,1,3,0,7.3260932,0.17884301 # -# Elapsed Time: 0.016634 seconds (Warm-up) -# 0.005116 seconds (Sampling) -# 0.02175 seconds (Total) +# Elapsed Time: 0.001 seconds (Warm-up) +# 0 seconds (Sampling) +# 0.001 seconds (Total) # diff --git a/test/data/runset-good/bern-3_config.json b/test/data/runset-good/bern-3_config.json new file mode 100644 index 00000000..fa5c0007 --- /dev/null +++ b/test/data/runset-good/bern-3_config.json @@ -0,0 +1,66 @@ + +{ + "stan_major_version" : "2", + "stan_minor_version" : "37", + "stan_patch_version" : "0", + "model_name" : "bernoulli_model", + "start_datetime" : "2026-07-20 16:58:36 UTC", + "method" : { + "value" : "sample", + "sample" : { + "num_samples" : 100, + "num_warmup" : 1000, + "save_warmup" : false, + "thin" : 1, + "adapt" : { + "engaged" : true, + "gamma" : 0.05, + "delta" : 0.8, + "kappa" : 0.75, + "t0" : 10, + "init_buffer" : 75, + "term_buffer" : 50, + "window" : 25, + "save_metric" : true + }, + "algorithm" : { + "value" : "hmc", + "hmc" : { + "engine" : { + "value" : "nuts", + "nuts" : { + "max_depth" : 10 + } + }, + "metric" : { + "value" : "diag_e" + }, + "metric_file" : "", + "stepsize" : 1, + "stepsize_jitter" : 0 + } + }, + "num_chains" : 1 + } + }, + "id" : 3, + "data" : { + "file" : "test\/data\/bernoulli.data.json" + }, + "init" : "2", + "random" : { + "seed" : 12345 + }, + "output" : { + "file" : "\/tmp\/tmpuisjazeu\/bernoullik799pfr2\/bernoulli-20260720125836_3.csv", + "diagnostic_file" : "", + "refresh" : 100, + "sig_figs" : 8, + "profile_file" : "profile.csv", + "save_cmdstan_config" : true + }, + "num_threads" : 1, + "mpi_enabled" : false, + "stanc_version" : "stanc3 v2.37.0", + "stancflags" : "--filename-in-msg=bernoulli.stan" +} diff --git a/test/data/runset-good/bern-3_metric.json b/test/data/runset-good/bern-3_metric.json new file mode 100644 index 00000000..1f766dd1 --- /dev/null +++ b/test/data/runset-good/bern-3_metric.json @@ -0,0 +1,6 @@ + +{ + "stepsize" : 1.0337943, + "metric_type" : "diag_e", + "inv_metric" : [ 0.44486559 ] +} diff --git a/test/data/runset-good/bern-4.csv b/test/data/runset-good/bern-4.csv index 276b128d..e18984c1 100644 --- a/test/data/runset-good/bern-4.csv +++ b/test/data/runset-good/bern-4.csv @@ -1,148 +1,157 @@ # stan_version_major = 2 -# stan_version_minor = 19 -# stan_version_patch = 1 +# stan_version_minor = 37 +# stan_version_patch = 0 # model = bernoulli_model +# start_datetime = 2026-07-20 16:58:36 UTC # method = sample (Default) # sample # num_samples = 100 # num_warmup = 1000 (Default) -# save_warmup = 0 (Default) +# save_warmup = false (Default) # thin = 1 (Default) # adapt -# engaged = 1 (Default) -# gamma = 0.050000000000000003 (Default) -# delta = 0.94999999999999996 +# engaged = true (Default) +# gamma = 0.05 (Default) +# delta = 0.8 (Default) # kappa = 0.75 (Default) # t0 = 10 (Default) # init_buffer = 75 (Default) # term_buffer = 50 (Default) # window = 25 (Default) +# save_metric = true # algorithm = hmc (Default) # hmc # engine = nuts (Default) # nuts -# max_depth = 11 +# max_depth = 10 (Default) # metric = diag_e (Default) # metric_file = (Default) # stepsize = 1 (Default) # stepsize_jitter = 0 (Default) +# num_chains = 1 (Default) # id = 4 # data -# file = /Users/mitzi/github/stan-dev/cmdstanpy/test/files-data/bernoulli.data.json +# file = test/data/bernoulli.data.json # init = 2 (Default) # random # seed = 12345 # output -# file = /Users/mitzi/github/stan-dev/cmdstanpy/test/files-tmp/test1-bernoulli.output-4.csv +# file = /tmp/tmpuisjazeu/bernoullik799pfr2/bernoulli-20260720125836_4.csv # diagnostic_file = (Default) # refresh = 100 (Default) +# sig_figs = 8 (Default) +# profile_file = profile.csv (Default) +# save_cmdstan_config = true +# num_threads = 1 (Default) +# stanc_version = stanc3 v2.37.0 +# stancflags = --filename-in-msg=bernoulli.stan lp__,accept_stat__,stepsize__,treedepth__,n_leapfrog__,divergent__,energy__,theta # Adaptation terminated -# Step size = 0.678676 +# Step size = 1.14675 # Diagonal elements of inverse mass matrix: -# 0.398391 --7.11613,0.901028,0.678676,2,3,0,8.41269,0.365901 --6.75486,0.980597,0.678676,1,3,0,7.40272,0.264802 --6.74828,0.99892,0.678676,1,3,0,6.77005,0.247191 --6.74811,0.878636,0.678676,3,7,0,8.98401,0.251666 --6.77935,0.997533,0.678676,2,5,0,6.78277,0.219614 --6.76083,0.999963,0.678676,2,3,0,6.78122,0.230362 --6.92238,0.977107,0.678676,1,3,0,7.06017,0.181439 --6.9744,0.995818,0.678676,1,1,0,6.97618,0.172776 --6.74829,0.979611,0.678676,1,3,0,7.37519,0.252895 --6.86442,0.974063,0.678676,1,3,0,7.08397,0.193149 --7.50708,0.953915,0.678676,2,5,0,7.75788,0.420243 --6.74802,0.934364,0.678676,1,3,0,8.38783,0.250253 --6.75635,0.999368,0.678676,2,5,0,6.75678,0.266362 --6.77886,0.991251,0.678676,3,7,0,6.91765,0.281865 --6.91183,0.989873,0.678676,2,3,0,6.92052,0.325645 --6.87778,0.999278,0.678676,2,5,0,6.95261,0.190194 --6.87175,1,0.678676,2,3,0,6.88623,0.191505 --6.87711,0.999544,0.678676,1,1,0,6.88632,0.190337 --7.00194,0.992553,0.678676,2,3,0,7.03393,0.168677 --6.84717,0.990045,0.678676,2,5,0,7.1904,0.308207 --7.13903,0.930393,0.678676,2,3,0,7.70359,0.369668 --6.83366,1,0.678676,2,5,0,7.10819,0.200793 --6.85216,0.99838,0.678676,1,1,0,6.85453,0.196041 --8.59214,0.896507,0.678676,2,5,0,8.72574,0.0711816 --7.02404,0.968797,0.678676,1,3,0,9.99597,0.165583 --6.97334,1,0.678676,1,1,0,7.0246,0.172939 --6.74802,0.981142,0.678676,1,3,0,7.34091,0.250033 --7.21474,0.902562,0.678676,1,3,0,8.09497,0.14385 --7.08172,1,0.678676,1,1,0,7.20531,0.158186 --7.82895,0.971997,0.678676,3,7,0,8.14955,0.101367 --6.77001,0.995338,0.678676,2,5,0,7.82709,0.224416 --6.79494,0.982923,0.678676,1,3,0,7.03842,0.289529 --8.56361,0.886943,0.678676,3,7,0,8.8647,0.072068 --8.86349,0.989507,0.678676,1,1,0,8.87623,0.0634231 --8.70685,0.99574,0.678676,2,3,0,9.26451,0.0677597 --8.97111,0.991222,0.678676,1,1,0,8.99318,0.0606475 --9.36451,0.988743,0.678676,2,3,0,9.71622,0.0517029 --8.98091,1,0.678676,1,1,0,9.36098,0.0604025 --7.23478,0.982038,0.678676,3,7,0,10.5086,0.384421 --7.42379,0.975452,0.678676,1,1,0,7.43683,0.410038 --7.30409,1,0.678676,1,1,0,7.44131,0.394276 --7.97059,0.939875,0.678676,3,7,0,8.58345,0.094513 --7.98877,0.999147,0.678676,1,1,0,8.06062,0.0936849 --6.8541,0.994623,0.678676,2,5,0,7.89063,0.31029 --6.85499,0.933533,0.678676,1,3,0,7.69926,0.195358 --6.84318,1,0.678676,1,1,0,6.85869,0.198282 --6.83284,0.995716,0.678676,3,7,0,7.00817,0.303674 --7.09143,0.940294,0.678676,2,3,0,7.56688,0.361714 --7.12863,0.998422,0.678676,2,3,0,7.15747,0.36797 --9.04175,0.720352,0.678676,2,5,0,10.7402,0.0589084 --6.78383,0.986207,0.678676,2,5,0,8.84509,0.284402 --6.78663,0.99835,0.678676,3,7,0,6.83715,0.285759 --6.85615,0.98887,0.678676,3,7,0,7.00611,0.310895 --6.74837,0.987779,0.678676,2,5,0,7.02152,0.246723 --6.76666,0.995778,0.678676,2,5,0,6.80449,0.274638 --7.09012,0.97537,0.678676,2,3,0,7.09102,0.361489 --7.09012,0.972376,0.678676,1,1,0,7.28057,0.361489 --7.25211,0.996749,0.678676,3,7,0,7.25693,0.386943 --8.53948,0.776726,0.678676,2,5,0,10.1048,0.0728289 --7.37574,0.988669,0.678676,2,5,0,8.66249,0.403881 --7.14277,0.987956,0.678676,2,3,0,7.59818,0.370275 --6.788,0.917191,0.678676,1,3,0,8.20668,0.215812 --6.7618,0.989416,0.678676,1,3,0,6.97244,0.27112 --6.86512,0.963133,0.678676,1,3,0,7.25645,0.192992 --6.74822,0.990601,0.678676,1,3,0,7.0298,0.247503 --6.9135,0.968479,0.678676,1,3,0,7.16222,0.326048 --6.90588,1,0.678676,1,1,0,6.92802,0.324194 --6.87235,0.996704,0.678676,2,3,0,6.97466,0.315488 --7.08321,0.956004,0.678676,3,7,0,7.69817,0.158005 --6.79918,0.977846,0.678676,3,7,0,7.88654,0.291329 --6.7974,1,0.678676,1,1,0,6.80376,0.29058 --8.86874,0.759672,0.678676,2,5,0,10.3615,0.542233 --7.08654,1,0.678676,2,3,0,8.81257,0.360871 --6.79828,0.976264,0.678676,2,3,0,7.41565,0.290954 --7.62892,0.916527,0.678676,2,5,0,7.9657,0.112476 --6.77707,0.963951,0.678676,1,3,0,8.6832,0.220706 --7.05671,0.962526,0.678676,1,3,0,7.28502,0.161285 --6.7931,0.996731,0.678676,2,5,0,7.17356,0.28872 --6.82009,0.99693,0.678676,1,1,0,6.82012,0.299331 --6.79314,1,0.678676,2,3,0,6.81705,0.28874 --6.78679,1,0.678676,1,1,0,6.79463,0.285834 --6.80203,0.99828,0.678676,1,1,0,6.80259,0.2925 --7.2992,0.917002,0.678676,2,3,0,7.83986,0.3936 --7.07363,1,0.678676,2,5,0,7.35783,0.159172 --6.79133,0.992723,0.678676,1,3,0,7.23899,0.214469 --6.89257,0.986675,0.678676,2,3,0,6.98068,0.187117 --7.38662,0.969475,0.678676,2,3,0,7.38961,0.129018 --6.78383,0.975681,0.678676,1,3,0,7.99084,0.217584 --6.80017,0.978601,0.678676,1,3,0,7.12807,0.29174 --6.93703,0.990344,0.678676,2,5,0,6.94431,0.178856 --6.75404,0.990161,0.678676,1,3,0,7.12073,0.236461 --6.78244,0.989711,0.678676,1,3,0,6.90138,0.28371 --6.85095,0.989617,0.678676,3,7,0,6.98714,0.309351 --6.86851,0.997928,0.678676,1,1,0,6.8746,0.314427 --6.8258,1,0.678676,1,1,0,6.86376,0.301317 --6.80673,0.994501,0.678676,2,5,0,6.91929,0.208884 --7.43042,0.863552,0.678676,1,3,0,9.14903,0.410871 --7.79216,0.992019,0.678676,3,7,0,7.8006,0.451654 --8.22294,0.962868,0.678676,2,5,0,8.6795,0.0839045 --7.33661,0.996937,0.678676,3,7,0,8.60353,0.133004 +# 0.446985 +-6.795512,0.99771733,1.1467501,1,1,0,6.806374,0.21285709 +-6.7488134,0.99841751,1.1467501,1,3,0,6.7892485,0.25499575 +-6.7488134,0.87609438,1.1467501,1,3,0,7.172353,0.25499575 +-6.8738615,0.94817027,1.1467501,2,3,0,6.9873229,0.19104178 +-6.8940539,0.99818575,1.1467501,2,3,0,6.9264894,0.18682006 +-7.002526,0.97232343,1.1467501,1,1,0,7.0249275,0.16859297 +-7.3544056,0.92264166,1.1467501,1,1,0,7.3679326,0.13155857 +-6.821478,1,1.1467501,1,3,0,7.2248759,0.20424571 +-6.8868782,0.98190991,1.1467501,1,1,0,6.898406,0.18827905 +-7.1249888,0.98047982,1.1467501,2,3,0,7.1323061,0.15316214 +-7.237772,0.99175768,1.1467501,2,3,0,7.3095744,0.14165993 +-7.2462932,0.99817881,1.1467501,1,1,0,7.3680648,0.14086773 +-7.1601014,1,1.1467501,1,1,0,7.3125929,0.14935814 +-7.6663804,0.90213054,1.1467501,1,1,0,7.6840958,0.11024805 +-6.8004146,0.9953315,1.1467501,1,3,0,7.500188,0.21106319 +-6.9302432,0.96417118,1.1467501,1,1,0,6.9323004,0.18003701 +-8.4024322,0.79187396,1.1467501,1,3,0,8.5088961,0.077362392 +-6.7714985,0.9757801,1.1467501,2,3,0,8.4992033,0.27771472 +-6.8465752,0.98808065,1.1467501,2,3,0,6.849455,0.30802596 +-7.9357311,0.78345365,1.1467501,2,3,0,8.0024648,0.096132728 +-6.754203,0.87785053,1.1467501,2,3,0,8.5791808,0.2362763 +-7.0349119,0.92545927,1.1467501,1,3,0,7.0699138,0.35158151 +-6.8530558,0.97565912,1.1467501,1,3,0,7.1689951,0.19582285 +-6.7625184,1,1.1467501,1,3,0,6.8259061,0.22912905 +-9.0577237,0.58316247,1.1467501,1,3,0,9.7307186,0.05852374 +-7.8646214,1,1.1467501,2,3,0,8.9061666,0.099570364 +-8.4737731,0.91692866,1.1467501,1,1,0,8.5536411,0.074956485 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+-6.7485007,0.99662817,1.1467501,2,3,0,6.7954674,0.24614441 +-6.8747395,0.96570485,1.1467501,1,3,0,6.8858825,0.31614288 +-6.7875032,0.98961817,1.1467501,1,3,0,6.9219895,0.21601816 +-6.9205498,0.97990554,1.1467501,2,3,0,6.9638482,0.32772932 +-6.9205498,0.35755708,1.1467501,1,1,0,8.3478237,0.32772932 # -# Elapsed Time: 0.016428 seconds (Warm-up) -# 0.004277 seconds (Sampling) -# 0.020705 seconds (Total) +# Elapsed Time: 0.001 seconds (Warm-up) +# 0 seconds (Sampling) +# 0.001 seconds (Total) # diff --git a/test/data/runset-good/bern-4_config.json b/test/data/runset-good/bern-4_config.json new file mode 100644 index 00000000..49dbabec --- /dev/null +++ b/test/data/runset-good/bern-4_config.json @@ -0,0 +1,66 @@ + +{ + "stan_major_version" : "2", + "stan_minor_version" : "37", + "stan_patch_version" : "0", + "model_name" : "bernoulli_model", + "start_datetime" : "2026-07-20 16:58:36 UTC", + "method" : { + "value" : "sample", + "sample" : { + "num_samples" : 100, + "num_warmup" : 1000, + "save_warmup" : false, + "thin" : 1, + "adapt" : { + "engaged" : true, + "gamma" : 0.05, + "delta" : 0.8, + "kappa" : 0.75, + "t0" : 10, + "init_buffer" : 75, + "term_buffer" : 50, + "window" : 25, + "save_metric" : true + }, + "algorithm" : { + "value" : "hmc", + "hmc" : { + "engine" : { + "value" : "nuts", + "nuts" : { + "max_depth" : 10 + } + }, + "metric" : { + "value" : "diag_e" + }, + "metric_file" : "", + "stepsize" : 1, + "stepsize_jitter" : 0 + } + }, + "num_chains" : 1 + } + }, + "id" : 4, + "data" : { + "file" : "test\/data\/bernoulli.data.json" + }, + "init" : "2", + "random" : { + "seed" : 12345 + }, + "output" : { + "file" : "\/tmp\/tmpuisjazeu\/bernoullik799pfr2\/bernoulli-20260720125836_4.csv", + "diagnostic_file" : "", + "refresh" : 100, + "sig_figs" : 8, + "profile_file" : "profile.csv", + "save_cmdstan_config" : true + }, + "num_threads" : 1, + "mpi_enabled" : false, + "stanc_version" : "stanc3 v2.37.0", + "stancflags" : "--filename-in-msg=bernoulli.stan" +} diff --git a/test/data/runset-good/bern-4_metric.json b/test/data/runset-good/bern-4_metric.json new file mode 100644 index 00000000..93dfeaa2 --- /dev/null +++ b/test/data/runset-good/bern-4_metric.json @@ -0,0 +1,6 @@ + +{ + "stepsize" : 1.1467501, + "metric_type" : "diag_e", + "inv_metric" : [ 0.44698547 ] +} diff --git a/test/data/variational/eta_should_be_big_vb.csv b/test/data/variational/eta_should_be_big_vb.csv new file mode 100644 index 00000000..8034922d --- /dev/null +++ b/test/data/variational/eta_should_be_big_vb.csv @@ -0,0 +1,1039 @@ +# stan_version_major = 2 +# stan_version_minor = 37 +# stan_version_patch = 0 +# model = eta_should_be_big_model +# start_datetime = 2026-05-03 16:33:45 UTC +# method = variational +# variational +# algorithm = meanfield (Default) +# meanfield +# iter = 10000 (Default) +# grad_samples = 1 (Default) +# elbo_samples = 100 (Default) +# eta = 1 (Default) +# adapt +# engaged = true (Default) +# iter = 50 (Default) +# tol_rel_obj = 0.01 (Default) +# eval_elbo = 100 (Default) +# output_samples = 1000 (Default) +# id = 1 (Default) +# data +# file = (Default) +# init = 2 (Default) +# random +# seed = 999999 +# output +# file = /tmp/tmpmw9luosp/eta_should_be_big0j7mxqbi/eta_should_be_big-20260503123345.csv +# diagnostic_file = (Default) +# refresh = 100 (Default) +# sig_figs = 8 (Default) +# profile_file = profile.csv (Default) +# save_cmdstan_config = true +# num_threads = 1 (Default) +# stanc_version = stanc3 v2.37.0 +# stancflags = --filename-in-msg=eta_should_be_big.stan +lp__,log_p__,log_g__,mu.1,mu.2 +# Stepsize adaptation complete. +# eta = 10 +0,0,0,302.14243,361.00516 +0,-180254.01,-0.34841061,1171.45,360.87331 +0,-193632.42,-2.1336959,-754.93113,357.99026 +0,-190332.32,-0.16356062,-295.91242,360.97842 +0,-189196.65,-0.20674205,-134.60856,360.18683 +0,-180094.25,-0.73392397,1194.3343,362.445 +0,-181949.94,-0.31936691,917.06328,361.91119 +0,-178889.76,-1.0641511,1378.7898,359.27508 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+ "model_name" : "eta_should_be_big_model", + "start_datetime" : "2026-05-03 16:33:45 UTC", + "method" : { + "value" : "variational", + "variational" : { + "algorithm" : { + "value" : "meanfield", + "meanfield" : { + } + }, + "iter" : 10000, + "grad_samples" : 1, + "elbo_samples" : 100, + "eta" : 1, + "adapt" : { + "engaged" : true, + "iter" : 50 + }, + "tol_rel_obj" : 0.01, + "eval_elbo" : 100, + "output_samples" : 1000 + } + }, + "id" : 1, + "data" : { + "file" : "" + }, + "init" : "2", + "random" : { + "seed" : 999999 + }, + "output" : { + "file" : "\/tmp\/tmpmw9luosp\/eta_should_be_big0j7mxqbi\/eta_should_be_big-20260503123345.csv", + "diagnostic_file" : "", + "refresh" : 100, + "sig_figs" : 8, + "profile_file" : "profile.csv", + "save_cmdstan_config" : true + }, + "num_threads" : 1, + "mpi_enabled" : false, + "stanc_version" : "stanc3 v2.37.0", + "stancflags" : "--filename-in-msg=eta_should_be_big.stan" +} diff --git a/test/test_compliance.py b/test/test_compliance.py index 1b30c568..5e9ef431 100644 --- a/test/test_compliance.py +++ b/test/test_compliance.py @@ -48,8 +48,8 @@ def test_optimize_copy_ability() -> None: def test_variational_pickle_ability() -> None: - csvfiles_path = DATAFILES_PATH / 'variational' - fit = cmdstanpy.from_csv(path=csvfiles_path) + csv_path = DATAFILES_PATH / 'variational' / 'eta_should_be_big_vb.csv' + fit = cmdstanpy.from_csv(path=csv_path) assert fit is not None keys = fit.stan_variables().keys() pickled = pickle.dumps(fit) @@ -59,8 +59,8 @@ def test_variational_pickle_ability() -> None: def test_variational_copy_ability() -> None: - csvfiles_path = DATAFILES_PATH / 'variational' - fit = cmdstanpy.from_csv(path=csvfiles_path) + csv_path = DATAFILES_PATH / 'variational' / 'eta_should_be_big_vb.csv' + fit = cmdstanpy.from_csv(path=csv_path) assert fit is not None fit2 = copy.deepcopy(fit) assert fit.stan_variables().keys() == fit2.stan_variables().keys() diff --git a/test/test_laplace.py b/test/test_laplace.py index 82ce9364..8fc50b56 100644 --- a/test/test_laplace.py +++ b/test/test_laplace.py @@ -33,7 +33,7 @@ def test_laplace_from_csv() -> None: data={}, seed=1234, ) - fit2 = from_csv(fit.runset.csv_files) + fit2 = from_csv([fit.csv_file]) assert isinstance(fit2, cmdstanpy.CmdStanLaplace) assert 'x' in fit2.stan_variables() assert 'y' in fit2.stan_variables() diff --git a/test/test_metadata.py b/test/test_metadata.py index e451c762..bf45849f 100644 --- a/test/test_metadata.py +++ b/test/test_metadata.py @@ -5,13 +5,24 @@ import os import tempfile from pathlib import Path +from typing import Any import pytest from pydantic import ValidationError from cmdstanpy.cmdstan_args import CmdStanArgs, SamplerArgs from cmdstanpy.stanfit import InferenceMetadata, RunSet -from cmdstanpy.stanfit.metadata import MetricInfo +from cmdstanpy.stanfit.metadata import ( + GeneratedQuantitiesConfig, + LaplaceConfig, + MetricInfo, + OptimizeConfig, + PathfinderConfig, + SampleConfig, + StanConfig, + VariationalConfig, + parse_config, +) from cmdstanpy.utils import EXTENSION, check_sampler_csv HERE = os.path.dirname(os.path.abspath(__file__)) @@ -22,6 +33,213 @@ BADFILES_PATH = os.path.join(DATAFILES_PATH, 'runset-bad') +def make_config_output( + method_name: str, method_body: dict[str, Any] +) -> dict[str, Any]: + return { + 'stan_major_version': '2', + 'stan_minor_version': '37', + 'stan_patch_version': '0', + 'model_name': 'mu_model', + 'start_datetime': '2026-01-23 22:20:01 UTC', + 'method': { + 'value': method_name, + method_name: method_body, + }, + 'id': 1, + 'data': {'file': ''}, + 'init': '2', + 'random': {'seed': 12345}, + 'output': { + 'file': '/tmp/mu.csv', + 'diagnostic_file': '', + 'refresh': 100, + 'sig_figs': 8, + 'profile_file': 'profile.csv', + 'save_cmdstan_config': True, + }, + 'num_threads': 4, + 'mpi_enabled': False, + 'stanc_version': 'stanc3 v2.37.0', + 'stancflags': '--filename-in-msg=mu.stan', + } + + +CONFIG_OUTPUT_CASES: list[ + tuple[str, dict[str, Any], type[Any], dict[str, Any]] +] = [ + ( + 'sample', + make_config_output( + 'sample', + { + 'num_samples': 1000, + 'num_warmup': 1000, + 'save_warmup': False, + 'thin': 1, + 'adapt': { + 'engaged': True, + 'gamma': 0.05, + 'delta': 0.8, + 'kappa': 0.75, + 't0': 10, + 'init_buffer': 75, + 'term_buffer': 50, + 'window': 25, + 'save_metric': True, + }, + 'algorithm': { + 'value': 'hmc', + 'hmc': { + 'engine': { + 'value': 'nuts', + 'nuts': {'max_depth': 10}, + }, + 'metric': {'value': 'diag_e'}, + 'metric_file': '', + 'stepsize': 1, + 'stepsize_jitter': 0, + }, + }, + 'num_chains': 4, + }, + ), + SampleConfig, + { + 'algorithm': 'hmc', + 'num_samples': 1000, + 'num_warmup': 1000, + 'save_warmup': False, + 'thin': 1, + 'max_depth': 10, + }, + ), + ( + 'optimize', + make_config_output( + 'optimize', + { + 'algorithm': { + 'value': 'lbfgs', + 'lbfgs': { + 'init_alpha': 0.001, + 'tol_obj': 1e-12, + 'tol_rel_obj': 10000, + 'tol_grad': 1e-08, + 'tol_rel_grad': 10000000, + 'tol_param': 1e-08, + 'history_size': 5, + }, + }, + 'jacobian': False, + 'iter': 2000, + 'save_iterations': False, + }, + ), + OptimizeConfig, + { + 'algorithm': 'lbfgs', + 'jacobian': False, + 'save_iterations': False, + }, + ), + ( + 'variational', + make_config_output( + 'variational', + { + 'algorithm': { + 'value': 'meanfield', + 'meanfield': {}, + }, + 'iter': 10000, + 'grad_samples': 1, + 'elbo_samples': 100, + 'eta': 1, + 'adapt': { + 'engaged': True, + 'iter': 50, + }, + 'tol_rel_obj': 0.01, + 'eval_elbo': 100, + 'output_samples': 1000, + }, + ), + VariationalConfig, + { + 'algorithm': 'meanfield', + 'iter': 10000, + 'grad_samples': 1, + 'elbo_samples': 100, + 'eta': 1.0, + }, + ), + ( + 'pathfinder', + make_config_output( + 'pathfinder', + { + 'init_alpha': 0.001, + 'tol_obj': 1e-12, + 'tol_rel_obj': 10000, + 'tol_grad': 1e-08, + 'tol_rel_grad': 10000000, + 'tol_param': 1e-08, + 'history_size': 5, + 'num_psis_draws': 1000, + 'num_paths': 4, + 'save_single_paths': False, + 'psis_resample': True, + 'calculate_lp': True, + 'max_lbfgs_iters': 1000, + 'num_draws': 1000, + 'num_elbo_draws': 25, + }, + ), + PathfinderConfig, + { + 'num_draws': 1000, + 'num_paths': 4, + 'psis_resample': True, + 'calculate_lp': True, + }, + ), + ( + 'laplace', + make_config_output( + 'laplace', + { + 'mode': '/tmp/mu-opt.csv', + 'jacobian': True, + 'draws': 1000, + 'calculate_lp': True, + }, + ), + LaplaceConfig, + { + 'mode': '/tmp/mu-opt.csv', + 'draws': 1000, + 'jacobian': True, + }, + ), + ( + 'generate_quantities', + make_config_output( + 'generate_quantities', + { + 'fitted_params': '/tmp/mu-fit.csv', + 'num_chains': 1, + }, + ), + GeneratedQuantitiesConfig, + { + 'fitted_params': '/tmp/mu-fit.csv', + 'num_chains': 1, + }, + ), +] + + def test_good() -> None: # construct fit using existing sampler output exe = os.path.join(DATAFILES_PATH, 'bernoulli' + EXTENSION) @@ -77,6 +295,46 @@ def test_good() -> None: assert bern_model_vars == metadata.stan_vars.keys() +@pytest.mark.parametrize( + 'method_name, config_json, expected_type, expected_fields', + CONFIG_OUTPUT_CASES, +) +def test_parse_config_outputs( + method_name: str, + config_json: dict[str, Any], + expected_type: type[Any], + expected_fields: dict[str, Any], +) -> None: + parsed = parse_config(json.dumps(config_json)) + + assert isinstance(parsed, StanConfig) + assert parsed.model_name == 'mu_model' + assert parsed.stan_major_version == '2' + assert parsed.stan_minor_version == '37' + assert parsed.stan_patch_version == '0' + assert isinstance(parsed.method_config, expected_type) + assert parsed.method_config.method == method_name + + dumped = parsed.method_config.model_dump() + for key, expected in expected_fields.items(): + assert dumped[key] == expected + + +def test_parse_config_accepts_bytes() -> None: + config_json = make_config_output( + 'generate_quantities', + { + 'fitted_params': '/tmp/mu-fit.csv', + 'num_chains': 1, + }, + ) + + parsed = parse_config(json.dumps(config_json).encode()) + + assert isinstance(parsed.method_config, GeneratedQuantitiesConfig) + assert parsed.method_config.fitted_params == '/tmp/mu-fit.csv' + + class TestMetricInfoValidators: """Test custom validators for MetricInfo model""" diff --git a/test/test_optimize.py b/test/test_optimize.py index 111ea038..23c81b17 100644 --- a/test/test_optimize.py +++ b/test/test_optimize.py @@ -13,30 +13,19 @@ import numpy as np import pytest -from cmdstanpy.cmdstan_args import CmdStanArgs, OptimizeArgs from cmdstanpy.model import CmdStanModel -from cmdstanpy.stanfit import CmdStanMLE, RunSet, from_csv +from cmdstanpy.stanfit import CmdStanMLE, from_csv HERE = os.path.dirname(os.path.abspath(__file__)) DATAFILES_PATH = os.path.join(HERE, 'data') def test_instantiate() -> None: - stan = os.path.join(DATAFILES_PATH, 'optimize', 'rosenbrock.stan') - model = CmdStanModel(stan_file=stan) - args = OptimizeArgs(algorithm='Newton') - cmdstan_args = CmdStanArgs( - model_name=model.name, - model_exe=model.exe_file, - chain_ids=None, - data={}, - method_args=args, + csvfiles_path = os.path.join( + DATAFILES_PATH, 'optimize', 'rosenbrock_mle.csv' ) - runset = RunSet(args=cmdstan_args, chains=1) - runset._csv_files = [ - os.path.join(DATAFILES_PATH, 'optimize', 'rosenbrock_mle.csv') - ] - mle = CmdStanMLE(runset) + mle = from_csv(path=csvfiles_path) + assert isinstance(mle, CmdStanMLE) assert 'CmdStanMLE: model=rosenbrock' in repr(mle) assert 'method=optimize' in repr(mle) assert mle.column_names == ('lp__', 'x', 'y') @@ -664,7 +653,7 @@ def test_serialization() -> None: history_size=5, ) dumped = pickle.dumps(mle1) - shutil.rmtree(mle1.runset._outdir) + shutil.rmtree(os.path.dirname(mle1.csv_file)) mle2: CmdStanMLE = pickle.loads(dumped) np.testing.assert_array_equal( mle1.optimized_params_np, mle2.optimized_params_np diff --git a/test/test_sample.py b/test/test_sample.py index b8560914..b91eaf0a 100644 --- a/test/test_sample.py +++ b/test/test_sample.py @@ -20,10 +20,9 @@ import cmdstanpy.stanfit from cmdstanpy import _TMPDIR -from cmdstanpy.cmdstan_args import CmdStanArgs, Method, SamplerArgs from cmdstanpy.model import CmdStanModel -from cmdstanpy.stanfit import CmdStanMCMC, RunSet, from_csv -from cmdstanpy.utils import EXTENSION, cmdstan_version_before +from cmdstanpy.stanfit import CmdStanMCMC, from_csv +from cmdstanpy.utils import cmdstan_version_before HERE = os.path.dirname(os.path.abspath(__file__)) DATAFILES_PATH = os.path.join(HERE, 'data') @@ -67,16 +66,16 @@ def test_bernoulli_good(stanfile: str) -> None: iter_sampling=100, show_progress=False, ) - assert 'CmdStanMCMC: model=bernoulli' in repr(bern_fit) + assert 'CmdStanMCMC: model=' in repr(bern_fit) assert 'method=sample' in repr(bern_fit) - assert bern_fit.runset._args.method == Method.SAMPLE + assert bern_fit.config.method_config.method == 'sample' - for i in range(bern_fit.runset.chains): - csv_file = bern_fit.runset.csv_files[i] + for i in range(bern_fit.chains): + csv_file = bern_fit.csv_files[i] # NB: This will fail if STAN_THREADS is enabled # due to sampling only producing 1 stdout file in that case - stdout_file = bern_fit.runset.stdout_files[i] + stdout_file = bern_fit.stdout_files[i] # type: ignore assert os.path.exists(csv_file) assert os.path.exists(stdout_file) @@ -108,18 +107,18 @@ def test_bernoulli_good(stanfile: str) -> None: metric='dense_e', show_progress=False, ) - assert 'CmdStanMCMC: model=bernoulli' in repr(bern_fit) + assert 'CmdStanMCMC: model=' in repr(bern_fit) assert 'method=sample' in repr(bern_fit) - assert bern_fit.runset._args.method == Method.SAMPLE + assert bern_fit.config.method_config.method == 'sample' - for i in range(bern_fit.runset.chains): - csv_file = bern_fit.runset.csv_files[i] - stdout_file = bern_fit.runset.stdout_files[i] + for i in range(bern_fit.chains): + csv_file = bern_fit.csv_files[i] + stdout_file = bern_fit.stdout_files[i] # type: ignore assert os.path.exists(csv_file) assert os.path.exists(stdout_file) - assert bern_fit.runset.chains == 2 + assert bern_fit.chains == 2 assert bern_fit.num_draws_sampling == 100 assert bern_fit.column_names == tuple(BERNOULLI_COLS) @@ -141,16 +140,24 @@ def test_bernoulli_good(stanfile: str) -> None: output_dir=DATAFILES_PATH, show_progress=False, ) - for i in range(bern_fit.runset.chains): - csv_file = bern_fit.runset.csv_files[i] - stdout_file = bern_fit.runset.stdout_files[i] + for i in range(bern_fit.chains): + csv_file = bern_fit.csv_files[i] + stdout_file = bern_fit.stdout_files[i] # type: ignore assert os.path.exists(csv_file) assert os.path.exists(stdout_file) assert bern_fit.draws().shape == (100, 2, len(BERNOULLI_COLS)) - for i in range(bern_fit.runset.chains): # cleanup datafile_path dir - os.remove(bern_fit.runset.csv_files[i]) - if os.path.exists(bern_fit.runset.stdout_files[i]): - os.remove(bern_fit.runset.stdout_files[i]) + for attr in ( # cleanup datafile_path dir + 'csv_files', + 'stdout_files', + 'config_files', + 'metric_files', + ): + files = getattr(bern_fit, attr) + if files is None: + continue + for f in files: + if os.path.exists(f): + os.remove(f) rdata = os.path.join(DATAFILES_PATH, 'bernoulli.data.R') bern_fit = bern_model.sample( data=rdata, @@ -218,7 +225,7 @@ def test_init_types() -> None: bern_model = CmdStanModel(stan_file=stan) jdata = os.path.join(DATAFILES_PATH, 'bernoulli.data.json') - bern_fit = bern_model.sample( + bern_model.sample( data=jdata, chains=2, parallel_chains=2, @@ -228,9 +235,8 @@ def test_init_types() -> None: inits=1.1, show_progress=False, ) - assert 'init=1.1' in repr(bern_fit.runset) - bern_fit = bern_model.sample( + bern_model.sample( data=jdata, chains=2, parallel_chains=2, @@ -240,7 +246,6 @@ def test_init_types() -> None: inits=1, show_progress=False, ) - assert 'init=1' in repr(bern_fit.runset) # Save init to json inits_path1 = os.path.join(_TMPDIR, 'inits_test_1.json') @@ -250,7 +255,7 @@ def test_init_types() -> None: with open(inits_path2, 'w') as fd: json.dump({'theta': 0.9}, fd) - bern_fit = bern_model.sample( + bern_model.sample( data=jdata, chains=2, parallel_chains=2, @@ -260,11 +265,8 @@ def test_init_types() -> None: inits=inits_path1, show_progress=False, ) - assert 'init={}'.format(inits_path1.replace('\\', '\\\\')) in repr( - bern_fit.runset - ) - bern_fit = bern_model.sample( + bern_model.sample( data=jdata, chains=2, parallel_chains=2, @@ -276,10 +278,7 @@ def test_init_types() -> None: force_one_process_per_chain=False, ) - # will be copied, given basename - assert isinstance(bern_fit.runset._args.inits, str) - - bern_fit = bern_model.sample( + bern_model.sample( data=jdata, chains=2, seed=12345, @@ -289,8 +288,6 @@ def test_init_types() -> None: show_progress=False, force_one_process_per_chain=True, ) - # one per process - assert isinstance(bern_fit.runset._args.inits, list) with pytest.raises(ValueError): bern_model.sample( @@ -307,7 +304,7 @@ def test_init_types() -> None: init_1 = {"theta": 0.2} init_2 = {"theta": 4.0} with pytest.raises(RuntimeError): - bern_fit = bern_model.sample( + bern_model.sample( data=jdata, chains=2, seed=12345, @@ -319,7 +316,7 @@ def test_init_types() -> None: ) # https://github.com/stan-dev/cmdstan/pull/1191 with pytest.raises(RuntimeError): - bern_fit = bern_model.sample( + bern_model.sample( data=jdata, chains=2, seed=12345, @@ -522,20 +519,20 @@ def test_fixed_param_good() -> None: datagen_fit = datagen_model.sample( seed=12345, chains=1, iter_sampling=100, fixed_param=True ) - assert datagen_fit.runset._args.method == Method.SAMPLE + assert datagen_fit.config.method_config.method == 'sample' assert datagen_fit.metric_type is None assert datagen_fit.inv_metric is None assert datagen_fit.step_size is None assert datagen_fit.divergences is None assert datagen_fit.max_treedepths is None - for i in range(datagen_fit.runset.chains): - csv_file = datagen_fit.runset.csv_files[i] - stdout_file = datagen_fit.runset.stdout_files[i] + for i in range(datagen_fit.chains): + csv_file = datagen_fit.csv_files[i] + stdout_file = datagen_fit.stdout_files[i] # type: ignore assert os.path.exists(csv_file) assert os.path.exists(stdout_file) - assert datagen_fit.runset.chains == 1 + assert datagen_fit.chains == 1 column_names = [ 'lp__', @@ -743,34 +740,18 @@ def test_show_progress(stanfile: str = 'bernoulli.stan') -> None: def test_validate_good_run() -> None: # construct fit using existing sampler output - exe = os.path.join(DATAFILES_PATH, 'bernoulli' + EXTENSION) - jdata = os.path.join(DATAFILES_PATH, 'bernoulli.data.json') - sampler_args = SamplerArgs( - iter_sampling=100, max_treedepth=11, adapt_delta=0.95 - ) - cmdstan_args = CmdStanArgs( - model_name='bernoulli', - model_exe=exe, - chain_ids=[1, 2, 3, 4], - seed=12345, - data=jdata, - output_dir=DATAFILES_PATH, - method_args=sampler_args, - ) - runset = RunSet(args=cmdstan_args, chains=4) - runset._csv_files = [ - os.path.join(DATAFILES_PATH, 'runset-good', 'bern-1.csv'), - os.path.join(DATAFILES_PATH, 'runset-good', 'bern-2.csv'), - os.path.join(DATAFILES_PATH, 'runset-good', 'bern-3.csv'), - os.path.join(DATAFILES_PATH, 'runset-good', 'bern-4.csv'), + csv_files = [ + os.path.join(DATAFILES_PATH, 'runset-good', f'bern-{i}.csv') + for i in range(1, 5) ] - assert 4 == runset.chains - retcodes = runset._retcodes - for i in range(len(retcodes)): - runset._set_retcode(i, 0) - assert runset._check_retcodes() - - fit = CmdStanMCMC(runset) + config_files = [ + os.path.join(DATAFILES_PATH, 'runset-good', f'bern-{i}_config.json') + for i in range(1, 5) + ] + fit = CmdStanMCMC.from_files( + csv_files=csv_files, + config_files=config_files, + ) assert 1000 == fit.num_draws_warmup assert 100 == fit.num_draws_sampling assert len(BERNOULLI_COLS) == len(fit.column_names) @@ -778,7 +759,7 @@ def test_validate_good_run() -> None: draws_pd = fit.draws_pd() assert draws_pd.shape == ( - fit.runset.chains * fit.num_draws_sampling, + fit.chains * fit.num_draws_sampling, len(fit.column_names) + 3, ) assert fit.draws_pd(vars=['theta']).shape == (400, 1) @@ -829,30 +810,27 @@ def test_validate_good_run() -> None: def test_validate_big_run() -> None: - exe = os.path.join(DATAFILES_PATH, 'bernoulli' + EXTENSION) - sampler_args = SamplerArgs(iter_warmup=1500, iter_sampling=1000) - cmdstan_args = CmdStanArgs( - model_name='bernoulli', - model_exe=exe, - chain_ids=[1, 2], - seed=12345, - output_dir=DATAFILES_PATH, - method_args=sampler_args, - ) - runset = RunSet(args=cmdstan_args, chains=2) - runset._csv_files = [ - os.path.join(DATAFILES_PATH, 'runset-big', 'output_icar_nyc-1.csv'), - os.path.join(DATAFILES_PATH, 'runset-big', 'output_icar_nyc-2.csv'), + csv_files = [ + os.path.join(DATAFILES_PATH, 'runset-big', f'output_icar_nyc-{i}.csv') + for i in (1, 2) ] - runset._metric_files = [ + config_files = [ os.path.join( - DATAFILES_PATH, 'runset-big', 'output_icar_nyc-1_metric.json' - ), + DATAFILES_PATH, 'runset-big', f'output_icar_nyc-{i}_config.json' + ) + for i in (1, 2) + ] + metric_files = [ os.path.join( - DATAFILES_PATH, 'runset-big', 'output_icar_nyc-2_metric.json' - ), + DATAFILES_PATH, 'runset-big', f'output_icar_nyc-{i}_metric.json' + ) + for i in (1, 2) ] - fit = CmdStanMCMC(runset) + fit = CmdStanMCMC.from_files( + csv_files=csv_files, + config_files=config_files, + metric_files=metric_files, + ) phis = ['phi[{}]'.format(str(x + 1)) for x in range(2095)] column_names = list(fit.metadata.method_vars.keys()) + phis assert fit.num_draws_sampling == 1000 @@ -874,7 +852,7 @@ def test_instantiate_from_csvfiles() -> None: assert isinstance(bern_fit, CmdStanMCMC) draws_pd = bern_fit.draws_pd() assert draws_pd.shape == ( - bern_fit.runset.chains * bern_fit.num_draws_sampling, + bern_fit.chains * bern_fit.num_draws_sampling, len(bern_fit.column_names) + 3, ) csvfiles_path = os.path.join(DATAFILES_PATH, 'runset-big') @@ -882,7 +860,7 @@ def test_instantiate_from_csvfiles() -> None: assert isinstance(big_fit, CmdStanMCMC) draws_pd = big_fit.draws_pd() assert draws_pd.shape == ( - big_fit.runset.chains * big_fit.num_draws_sampling, + big_fit.chains * big_fit.num_draws_sampling, len(big_fit.column_names) + 3, ) # list @@ -895,7 +873,7 @@ def test_instantiate_from_csvfiles() -> None: assert isinstance(bern_fit, CmdStanMCMC) draws_pd = bern_fit.draws_pd() assert draws_pd.shape == ( - bern_fit.runset.chains * bern_fit.num_draws_sampling, + bern_fit.chains * bern_fit.num_draws_sampling, len(bern_fit.column_names) + 3, ) # single csvfile @@ -912,7 +890,7 @@ def test_instantiate_from_csvfiles() -> None: assert isinstance(big_fit, CmdStanMCMC) draws_pd = big_fit.draws_pd() assert draws_pd.shape == ( - big_fit.runset.chains * big_fit.num_draws_sampling, + big_fit.chains * big_fit.num_draws_sampling, len(big_fit.column_names) + 3, ) @@ -1208,7 +1186,7 @@ def test_adapt_schedule() -> None: adapt_metric_window=12, adapt_step_size=13, ) - txt_file = bern_fit.runset.stdout_files[0] + txt_file = bern_fit.stdout_files[0] # type: ignore with open(txt_file, 'r') as fd: lines = fd.readlines() stripped = [line.strip() for line in lines] @@ -1229,16 +1207,16 @@ def test_save_csv() -> None: iter_warmup=100, iter_sampling=200, ) - for i in range(bern_fit.runset.chains): - csv_file = bern_fit.runset.csv_files[i] - stdout_file = bern_fit.runset.stdout_files[i] + for i in range(bern_fit.chains): + csv_file = bern_fit.csv_files[i] + stdout_file = bern_fit.stdout_files[i] # type: ignore assert os.path.exists(csv_file) assert os.path.exists(stdout_file) # save files to good dir bern_fit.save_csvfiles(dir=DATAFILES_PATH) - for i in range(bern_fit.runset.chains): - csv_file = bern_fit.runset.csv_files[i] + for i in range(bern_fit.chains): + csv_file = bern_fit.csv_files[i] assert os.path.exists(csv_file) with pytest.raises(ValueError, match='File exists, not overwriting: '): bern_fit.save_csvfiles(dir=DATAFILES_PATH) @@ -1246,13 +1224,21 @@ def test_save_csv() -> None: tmp2_dir = os.path.join(HERE, 'tmp2') os.mkdir(tmp2_dir) bern_fit.save_csvfiles(dir=tmp2_dir) - for i in range(bern_fit.runset.chains): - csv_file = bern_fit.runset.csv_files[i] + for i in range(bern_fit.chains): + csv_file = bern_fit.csv_files[i] assert os.path.exists(csv_file) - for i in range(bern_fit.runset.chains): # cleanup datafile_path dir - os.remove(bern_fit.runset.csv_files[i]) - if os.path.exists(bern_fit.runset.stdout_files[i]): - os.remove(bern_fit.runset.stdout_files[i]) + for attr in ( # cleanup datafile_path dir + 'csv_files', + 'stdout_files', + 'config_files', + 'metric_files', + ): + files = getattr(bern_fit, attr) + if files is None: + continue + for f in files: + if os.path.exists(f): + os.remove(f) shutil.rmtree(tmp2_dir, ignore_errors=True) # regenerate to tmpdir, save to good dir @@ -1264,13 +1250,21 @@ def test_save_csv() -> None: iter_sampling=200, ) bern_fit.save_csvfiles() # default dir - for i in range(bern_fit.runset.chains): - csv_file = bern_fit.runset.csv_files[i] + for i in range(bern_fit.chains): + csv_file = bern_fit.csv_files[i] assert os.path.exists(csv_file) - for i in range(bern_fit.runset.chains): # cleanup default dir - os.remove(bern_fit.runset.csv_files[i]) - if os.path.exists(bern_fit.runset.stdout_files[i]): - os.remove(bern_fit.runset.stdout_files[i]) + for attr in ( + 'csv_files', + 'stdout_files', + 'config_files', + 'metric_files', + ): + files = getattr(bern_fit, attr) + if files is None: + continue + for f in files: + if os.path.exists(f): + os.remove(f) with pytest.raises(ValueError, match='Cannot access CSV file'): bern_fit.save_csvfiles(dir=DATAFILES_PATH) @@ -1283,20 +1277,16 @@ def test_save_csv() -> None: def test_diagnose_divergences() -> None: - exe = os.path.join(DATAFILES_PATH, 'bernoulli' + EXTENSION) - sampler_args = SamplerArgs() - cmdstan_args = CmdStanArgs( - model_name='bernoulli', - model_exe=exe, - chain_ids=[1], - output_dir=DATAFILES_PATH, - method_args=sampler_args, + csv_file = os.path.join( + DATAFILES_PATH, 'diagnose-good', 'corr_gauss_depth8-1.csv' + ) + config_file = os.path.join( + DATAFILES_PATH, 'diagnose-good', 'corr_gauss_depth8-1_config.json' + ) + fit = CmdStanMCMC.from_files( + csv_files=[csv_file], + config_files=[config_file], ) - runset = RunSet(args=cmdstan_args, chains=1) - runset._csv_files = [ - os.path.join(DATAFILES_PATH, 'diagnose-good', 'corr_gauss_depth8-1.csv') - ] - fit = CmdStanMCMC(runset) # TODO - use cmdstan test files instead expected = [ 'Checking sampler transitions treedepth.', @@ -1314,63 +1304,81 @@ def test_diagnose_divergences() -> None: def test_validate_bad_run() -> None: - exe = os.path.join(DATAFILES_PATH, 'bernoulli' + EXTENSION) - jdata = os.path.join(DATAFILES_PATH, 'bernoulli.data.json') - sampler_args = SamplerArgs(max_treedepth=11, adapt_delta=0.95) - - # some chains had errors - cmdstan_args = CmdStanArgs( - model_name='bernoulli', - model_exe=exe, - chain_ids=[1, 2, 3, 4], - seed=12345, - data=jdata, - output_dir=DATAFILES_PATH, - method_args=sampler_args, - ) - runset = RunSet(args=cmdstan_args, chains=4) - for i in range(4): - runset._set_retcode(i, 0) - assert runset._check_retcodes() - - # errors reported - runset._stdout_files = [ - os.path.join(DATAFILES_PATH, 'runset-bad', 'bad-transcript-bern-1.txt'), - os.path.join(DATAFILES_PATH, 'runset-bad', 'bad-transcript-bern-2.txt'), - os.path.join(DATAFILES_PATH, 'runset-bad', 'bad-transcript-bern-3.txt'), - os.path.join(DATAFILES_PATH, 'runset-bad', 'bad-transcript-bern-4.txt'), - ] - assert 'Exception' in runset.get_err_msgs() + def fixtures(prefix: str) -> tuple[list[str], list[str]]: + csvs = [ + os.path.join(DATAFILES_PATH, 'runset-bad', f'{prefix}-bern-{i}.csv') + for i in range(1, 5) + ] + configs = [ + os.path.join( + DATAFILES_PATH, 'runset-bad', f'{prefix}-bern-{i}_config.json' + ) + for i in range(1, 5) + ] + return csvs, configs # csv file headers inconsistent - runset._csv_files = [ - os.path.join(DATAFILES_PATH, 'runset-bad', 'bad-hdr-bern-1.csv'), - os.path.join(DATAFILES_PATH, 'runset-bad', 'bad-hdr-bern-2.csv'), - os.path.join(DATAFILES_PATH, 'runset-bad', 'bad-hdr-bern-3.csv'), - os.path.join(DATAFILES_PATH, 'runset-bad', 'bad-hdr-bern-4.csv'), - ] + csvs, configs = fixtures('bad-hdr') with raises_nested(ValueError, 'CmdStan config mismatch'): - CmdStanMCMC(runset) + CmdStanMCMC.from_files(csv_files=csvs, config_files=configs) # bad draws - runset._csv_files = [ - os.path.join(DATAFILES_PATH, 'runset-bad', 'bad-draws-bern-1.csv'), - os.path.join(DATAFILES_PATH, 'runset-bad', 'bad-draws-bern-2.csv'), - os.path.join(DATAFILES_PATH, 'runset-bad', 'bad-draws-bern-3.csv'), - os.path.join(DATAFILES_PATH, 'runset-bad', 'bad-draws-bern-4.csv'), - ] + csvs, configs = fixtures('bad-draws') with raises_nested(ValueError, 'draws'): - CmdStanMCMC(runset) + CmdStanMCMC.from_files(csv_files=csvs, config_files=configs) # mismatch - column headers, draws - runset._csv_files = [ - os.path.join(DATAFILES_PATH, 'runset-bad', 'bad-cols-bern-1.csv'), - os.path.join(DATAFILES_PATH, 'runset-bad', 'bad-cols-bern-2.csv'), - os.path.join(DATAFILES_PATH, 'runset-bad', 'bad-cols-bern-3.csv'), - os.path.join(DATAFILES_PATH, 'runset-bad', 'bad-cols-bern-4.csv'), - ] + csvs, configs = fixtures('bad-cols') with raises_nested(ValueError, 'bad draw, expecting 9 items, found 8'): - CmdStanMCMC(runset) + CmdStanMCMC.from_files(csv_files=csvs, config_files=configs) + + +def _good_runset_files() -> tuple[list[str], list[str], list[str]]: + csvs = [ + os.path.join(DATAFILES_PATH, 'runset-good', f'bern-{i}.csv') + for i in range(1, 5) + ] + configs = [ + os.path.join(DATAFILES_PATH, 'runset-good', f'bern-{i}_config.json') + for i in range(1, 5) + ] + metrics = [ + os.path.join(DATAFILES_PATH, 'runset-good', f'bern-{i}_metric.json') + for i in range(1, 5) + ] + return csvs, configs, metrics + + +def test_metric_info_unavailable_returns_none() -> None: + # No metric files (e.g. adaptation disabled, so CmdStan wrote none) means + # the metric properties report None rather than raising. Covers both an + # explicit absence and metric paths that were listed but never written. + csvs, configs, _ = _good_runset_files() + absent = [f'/no/such/bern-{i}_metric.json' for i in range(1, 5)] + for metric_files in (None, absent): + fit = CmdStanMCMC.from_files( + csv_files=csvs, config_files=configs, metric_files=metric_files + ) + assert fit.metric_type is None + assert fit.step_size is None + assert fit.inv_metric is None + + +def test_metric_files_misaligned() -> None: + csvs, configs, metrics = _good_runset_files() + # too few metric files -> rejected at construction, not silently accepted + with pytest.raises(ValueError, match='one metric file per chain'): + CmdStanMCMC.from_files( + csv_files=csvs, config_files=configs, metric_files=metrics[:3] + ) + # right count but one absent -> partial set rejected on access + fit = CmdStanMCMC.from_files( + csv_files=csvs, + config_files=configs, + metric_files=metrics[:3] + ['/no/such/bern-4_metric.json'], + ) + with pytest.raises(ValueError, match='missing for some chains'): + _ = fit.metric_type def test_sample_sporadic_exception(caplog: pytest.LogCaptureFixture) -> None: @@ -1717,11 +1725,11 @@ def test_validate_summary_sig_figs() -> None: sum_17 = fit.summary(sig_figs=17) beta1_17 = format(sum_17.iloc[1, 0], '.18g') - assert beta1_17.startswith('1.345767078273') + assert beta1_17.startswith('1.343377085648') sum_10 = fit.summary(sig_figs=10) beta1_10 = format(sum_10.iloc[1, 0], '.18g') - assert beta1_10.startswith('1.34576707') + assert beta1_10.startswith('1.34337708') with pytest.raises(ValueError): fit.summary(sig_figs=20) @@ -1731,36 +1739,24 @@ def test_validate_summary_sig_figs() -> None: def test_metadata() -> None: # construct CmdStanMCMC from logistic model output, config - exe = os.path.join(DATAFILES_PATH, 'logistic' + EXTENSION) - rdata = os.path.join(DATAFILES_PATH, 'logistic.data.R') - sampler_args = SamplerArgs(iter_sampling=100) - cmdstan_args = CmdStanArgs( - model_name='logistic', - model_exe=exe, - chain_ids=[1, 2, 3, 4], - seed=12345, - data=rdata, - output_dir=DATAFILES_PATH, - sig_figs=17, - method_args=sampler_args, - ) - runset = RunSet(args=cmdstan_args, chains=4) - runset._csv_files = [ - os.path.join(DATAFILES_PATH, 'logistic_output_1.csv'), - os.path.join(DATAFILES_PATH, 'logistic_output_2.csv'), - os.path.join(DATAFILES_PATH, 'logistic_output_3.csv'), - os.path.join(DATAFILES_PATH, 'logistic_output_4.csv'), + csv_files = [ + os.path.join(DATAFILES_PATH, f'logistic_output_{i}.csv') + for i in range(1, 5) + ] + config_files = [ + os.path.join(DATAFILES_PATH, f'logistic_output_{i}_config.json') + for i in range(1, 5) ] - runset._metric_files = [ - os.path.join(DATAFILES_PATH, 'logistic_output_1_metric.json'), - os.path.join(DATAFILES_PATH, 'logistic_output_2_metric.json'), - os.path.join(DATAFILES_PATH, 'logistic_output_3_metric.json'), - os.path.join(DATAFILES_PATH, 'logistic_output_4_metric.json'), + metric_files = [ + os.path.join(DATAFILES_PATH, f'logistic_output_{i}_metric.json') + for i in range(1, 5) ] - retcodes = runset._retcodes - for i in range(len(retcodes)): - runset._set_retcode(i, 0) - fit = CmdStanMCMC(runset) + fit = CmdStanMCMC.from_files( + csv_files=csv_files, + config_files=config_files, + metric_files=metric_files, + sig_figs=17, + ) meta = fit.metadata assert meta.cmdstan_config['model'] == 'logistic_model' col_names = ( @@ -1816,8 +1812,8 @@ def test_save_latent_dynamics() -> None: iter_sampling=200, save_latent_dynamics=True, ) - for i in range(bern_fit.runset.chains): - diagnostics_file = bern_fit.runset.diagnostic_files[i] + for i in range(bern_fit.chains): + diagnostics_file = bern_fit.diagnostic_files[i] # type: ignore assert os.path.exists(diagnostics_file) @@ -1836,8 +1832,8 @@ def test_save_profile() -> None: iter_sampling=200, save_profile=True, ) - assert len(profile_fit.runset.profile_files) == 2 - for profile_file in profile_fit.runset.profile_files: + assert len(profile_fit.profile_files) == 2 # type: ignore + for profile_file in profile_fit.profile_files: # type: ignore assert os.path.exists(profile_file) profile_fit = profile_model.sample( @@ -1850,8 +1846,8 @@ def test_save_profile() -> None: save_profile=True, ) - assert len(profile_fit.runset.profile_files) == 1 - for profile_file in profile_fit.runset.profile_files: + assert len(profile_fit.profile_files) == 1 # type: ignore + for profile_file in profile_fit.profile_files: # type: ignore assert os.path.exists(profile_file) @@ -2118,7 +2114,7 @@ def test_csv_roundtrip() -> None: # mostly just asserting that from_csv always succeeds # in parsing latest cmdstan headers - fit_from_csv = from_csv(fit.runset.csv_files) + fit_from_csv = from_csv(fit.csv_files) assert isinstance(fit_from_csv, CmdStanMCMC) z_from_csv = fit_from_csv.stan_variable(var="z") assert z_from_csv.shape == (20, 4, 3) @@ -2144,7 +2140,7 @@ def test_serialization(stanfile: str = 'bernoulli.stan') -> None: ) # Dump the result (which assembles draws) and delete the source files. dumped = pickle.dumps(bern_fit1) - shutil.rmtree(bern_fit1.runset._outdir) + shutil.rmtree(os.path.dirname(bern_fit1.csv_files[0])) # Load the serialized result and compare results. bern_fit2: CmdStanMCMC = pickle.loads(dumped) variables1 = bern_fit1.stan_variables() @@ -2231,7 +2227,7 @@ def test_config_output() -> None: iter_warmup=100, iter_sampling=200, ) - assert all(os.path.exists(cf) for cf in fit.runset.config_files) + assert all(os.path.exists(cf) for cf in fit.config_files) # type: ignore # Config file naming differs when only a single chain is output fit_one_chain = model.sample( @@ -2241,4 +2237,6 @@ def test_config_output() -> None: iter_warmup=100, iter_sampling=200, ) - assert all(os.path.exists(cf) for cf in fit_one_chain.runset.config_files) + assert all( + os.path.exists(cf) for cf in fit_one_chain.config_files # type: ignore + ) diff --git a/test/test_utils.py b/test/test_utils.py index d5c15d23..deaa23aa 100644 --- a/test/test_utils.py +++ b/test/test_utils.py @@ -352,7 +352,7 @@ def test_check_sampler_csv_thin() -> None: max_treedepth=11, adapt_delta=0.98, ) - csv_file = bern_fit.runset.csv_files[0] + csv_file = bern_fit.csv_files[0] dict = check_sampler_csv( path=csv_file, iter_sampling=490, diff --git a/test/test_variational.py b/test/test_variational.py index edc6db4d..2471092e 100644 --- a/test/test_variational.py +++ b/test/test_variational.py @@ -8,60 +8,23 @@ import shutil from math import fabs from test import check_present -from typing import Any import numpy as np import pytest -from cmdstanpy.cmdstan_args import CmdStanArgs, VariationalArgs from cmdstanpy.model import CmdStanModel -from cmdstanpy.stanfit import CmdStanVB, RunSet, from_csv +from cmdstanpy.stanfit import CmdStanVB, from_csv from cmdstanpy.utils.cmdstan import cmdstan_version_before HERE = os.path.dirname(os.path.abspath(__file__)) DATAFILES_PATH = os.path.join(HERE, 'data') -def test_instantiate() -> None: - stan = os.path.join(DATAFILES_PATH, 'variational', 'eta_should_be_big.stan') - model = CmdStanModel(stan_file=stan) - no_data: dict[str, Any] = {} - args = VariationalArgs(algorithm='meanfield') - cmdstan_args = CmdStanArgs( - model_name=model.name, - model_exe=model.exe_file, - chain_ids=None, - data=no_data, - method_args=args, - ) - runset = RunSet(args=cmdstan_args, chains=1) - runset._csv_files = [ - os.path.join(DATAFILES_PATH, 'variational', 'eta_big_output.csv') - ] - variational = CmdStanVB(runset) - assert 'CmdStanVB: model=eta_should_be_big' in repr(variational) - assert 'method=variational' in repr(variational) - assert variational.column_names == ( - 'lp__', - 'log_p__', - 'log_g__', - 'mu[1]', - 'mu[2]', - ) - assert variational.eta == 100 - - np.testing.assert_almost_equal( - variational.variational_params_dict['mu[1]'], 311.545, decimal=2 - ) - np.testing.assert_almost_equal( - variational.variational_params_dict['mu[2]'], 532.801, decimal=2 +def test_instantiate_from_csv() -> None: + csv_path = os.path.join( + DATAFILES_PATH, 'variational', 'eta_should_be_big_vb.csv' ) - assert variational.variational_sample.shape == (1000, 5) - - -def test_instantiate_from_csvfiles() -> None: - csvfiles_path = os.path.join(DATAFILES_PATH, 'variational') - variational = from_csv(path=csvfiles_path) + variational = from_csv(csv_path) assert isinstance(variational, CmdStanVB) assert 'CmdStanVB: model=eta_should_be_big' in repr(variational) assert 'method=variational' in repr(variational) @@ -72,14 +35,6 @@ def test_instantiate_from_csvfiles() -> None: 'mu[1]', 'mu[2]', ) - assert variational.eta == 100 - - np.testing.assert_almost_equal( - variational.variational_params_dict['mu[1]'], 311.545, decimal=2 - ) - np.testing.assert_almost_equal( - variational.variational_params_dict['mu[2]'], 532.801, decimal=2 - ) assert variational.variational_sample.shape == (1000, 5) @@ -335,7 +290,7 @@ def test_serialization() -> None: model = CmdStanModel(stan_file=stan) variational1 = model.variational(algorithm='meanfield', seed=999999) dumped = pickle.dumps(variational1) - shutil.rmtree(variational1.runset._outdir) + shutil.rmtree(os.path.dirname(variational1.csv_file)) variational2: CmdStanVB = pickle.loads(dumped) np.testing.assert_array_equal( variational1.variational_sample, variational2.variational_sample