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<title>selfisys.utils.workers &mdash; SelfiSys /Users/hoellinger/Library/CloudStorage/Dropbox/travail/these/science/code/SELFI/selfisys/src/ documentation</title>
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<p class="caption" role="heading"><span class="caption-text">API Documentation</span></p>
<ul>
<li class="toctree-l1"><a class="reference internal" href="../../../selfisys.hiddenbox.html">hiddenbox</a><ul>
<li class="toctree-l2"><a class="reference internal" href="../../../selfisys.hiddenbox.html#selfisys.hiddenbox.HiddenBox"><code class="docutils literal notranslate"><span class="pre">HiddenBox</span></code></a><ul>
<li class="toctree-l3"><a class="reference internal" href="../../../selfisys.hiddenbox.html#selfisys.hiddenbox.HiddenBox.Npop"><code class="docutils literal notranslate"><span class="pre">HiddenBox.Npop</span></code></a></li>
<li class="toctree-l3"><a class="reference internal" href="../../../selfisys.hiddenbox.html#selfisys.hiddenbox.HiddenBox.Ntimesteps"><code class="docutils literal notranslate"><span class="pre">HiddenBox.Ntimesteps</span></code></a></li>
<li class="toctree-l3"><a class="reference internal" href="../../../selfisys.hiddenbox.html#selfisys.hiddenbox.HiddenBox.Psingle"><code class="docutils literal notranslate"><span class="pre">HiddenBox.Psingle</span></code></a></li>
<li class="toctree-l3"><a class="reference internal" href="../../../selfisys.hiddenbox.html#selfisys.hiddenbox.HiddenBox.compute_pool"><code class="docutils literal notranslate"><span class="pre">HiddenBox.compute_pool()</span></code></a></li>
<li class="toctree-l3"><a class="reference internal" href="../../../selfisys.hiddenbox.html#selfisys.hiddenbox.HiddenBox.evaluate"><code class="docutils literal notranslate"><span class="pre">HiddenBox.evaluate()</span></code></a></li>
<li class="toctree-l3"><a class="reference internal" href="../../../selfisys.hiddenbox.html#selfisys.hiddenbox.HiddenBox.force_neglect_lightcone"><code class="docutils literal notranslate"><span class="pre">HiddenBox.force_neglect_lightcone</span></code></a></li>
<li class="toctree-l3"><a class="reference internal" href="../../../selfisys.hiddenbox.html#selfisys.hiddenbox.HiddenBox.force_recompute_mocks"><code class="docutils literal notranslate"><span class="pre">HiddenBox.force_recompute_mocks</span></code></a></li>
<li class="toctree-l3"><a class="reference internal" href="../../../selfisys.hiddenbox.html#selfisys.hiddenbox.HiddenBox.gravity_on"><code class="docutils literal notranslate"><span class="pre">HiddenBox.gravity_on</span></code></a></li>
<li class="toctree-l3"><a class="reference internal" href="../../../selfisys.hiddenbox.html#selfisys.hiddenbox.HiddenBox.load_pool"><code class="docutils literal notranslate"><span class="pre">HiddenBox.load_pool()</span></code></a></li>
<li class="toctree-l3"><a class="reference internal" href="../../../selfisys.hiddenbox.html#selfisys.hiddenbox.HiddenBox.make_data"><code class="docutils literal notranslate"><span class="pre">HiddenBox.make_data()</span></code></a></li>
<li class="toctree-l3"><a class="reference internal" href="../../../selfisys.hiddenbox.html#selfisys.hiddenbox.HiddenBox.modified_selfi"><code class="docutils literal notranslate"><span class="pre">HiddenBox.modified_selfi</span></code></a></li>
<li class="toctree-l3"><a class="reference internal" href="../../../selfisys.hiddenbox.html#selfisys.hiddenbox.HiddenBox.prefix_mocks"><code class="docutils literal notranslate"><span class="pre">HiddenBox.prefix_mocks</span></code></a></li>
<li class="toctree-l3"><a class="reference internal" href="../../../selfisys.hiddenbox.html#selfisys.hiddenbox.HiddenBox.reset_survey"><code class="docutils literal notranslate"><span class="pre">HiddenBox.reset_survey()</span></code></a></li>
<li class="toctree-l3"><a class="reference internal" href="../../../selfisys.hiddenbox.html#selfisys.hiddenbox.HiddenBox.setup_only"><code class="docutils literal notranslate"><span class="pre">HiddenBox.setup_only</span></code></a></li>
<li class="toctree-l3"><a class="reference internal" href="../../../selfisys.hiddenbox.html#selfisys.hiddenbox.HiddenBox.switch_recompute_pool"><code class="docutils literal notranslate"><span class="pre">HiddenBox.switch_recompute_pool()</span></code></a></li>
<li class="toctree-l3"><a class="reference internal" href="../../../selfisys.hiddenbox.html#selfisys.hiddenbox.HiddenBox.switch_setup"><code class="docutils literal notranslate"><span class="pre">HiddenBox.switch_setup()</span></code></a></li>
<li class="toctree-l3"><a class="reference internal" href="../../../selfisys.hiddenbox.html#selfisys.hiddenbox.HiddenBox.update"><code class="docutils literal notranslate"><span class="pre">HiddenBox.update()</span></code></a></li>
</ul>
</li>
</ul>
</li>
<li class="toctree-l1"><a class="reference internal" href="../../../selfisys.normalise_hb.html">normalise_hb</a><ul>
<li class="toctree-l2"><a class="reference internal" href="../../../selfisys.normalise_hb.html#selfisys.normalise_hb.define_normalisation"><code class="docutils literal notranslate"><span class="pre">define_normalisation()</span></code></a></li>
<li class="toctree-l2"><a class="reference internal" href="../../../selfisys.normalise_hb.html#selfisys.normalise_hb.worker_normalisation"><code class="docutils literal notranslate"><span class="pre">worker_normalisation()</span></code></a></li>
<li class="toctree-l2"><a class="reference internal" href="../../../selfisys.normalise_hb.html#selfisys.normalise_hb.worker_normalisation_public"><code class="docutils literal notranslate"><span class="pre">worker_normalisation_public()</span></code></a></li>
<li class="toctree-l2"><a class="reference internal" href="../../../selfisys.normalise_hb.html#selfisys.normalise_hb.worker_normalisation_wrapper"><code class="docutils literal notranslate"><span class="pre">worker_normalisation_wrapper()</span></code></a></li>
</ul>
</li>
<li class="toctree-l1"><a class="reference internal" href="../../../selfisys.prior.html">prior</a><ul>
<li class="toctree-l2"><a class="reference internal" href="../../../selfisys.prior.html#selfisys.prior.get_summary"><code class="docutils literal notranslate"><span class="pre">get_summary()</span></code></a></li>
<li class="toctree-l2"><a class="reference internal" href="../../../selfisys.prior.html#selfisys.prior.logposterior_hyperparameters_parallel"><code class="docutils literal notranslate"><span class="pre">logposterior_hyperparameters_parallel()</span></code></a></li>
<li class="toctree-l2"><a class="reference internal" href="../../../selfisys.prior.html#selfisys.prior.perform_prior_optimisation_and_plot"><code class="docutils literal notranslate"><span class="pre">perform_prior_optimisation_and_plot()</span></code></a></li>
<li class="toctree-l2"><a class="reference internal" href="../../../selfisys.prior.html#selfisys.prior.planck_prior"><code class="docutils literal notranslate"><span class="pre">planck_prior</span></code></a><ul>
<li class="toctree-l3"><a class="reference internal" href="../../../selfisys.prior.html#selfisys.prior.planck_prior.mean"><code class="docutils literal notranslate"><span class="pre">planck_prior.mean</span></code></a></li>
<li class="toctree-l3"><a class="reference internal" href="../../../selfisys.prior.html#selfisys.prior.planck_prior.covariance"><code class="docutils literal notranslate"><span class="pre">planck_prior.covariance</span></code></a></li>
<li class="toctree-l3"><a class="reference internal" href="../../../selfisys.prior.html#selfisys.prior.planck_prior.inv_covariance"><code class="docutils literal notranslate"><span class="pre">planck_prior.inv_covariance</span></code></a></li>
<li class="toctree-l3"><a class="reference internal" href="../../../selfisys.prior.html#selfisys.prior.planck_prior.Nbin_max"><code class="docutils literal notranslate"><span class="pre">planck_prior.Nbin_max</span></code></a></li>
<li class="toctree-l3"><a class="reference internal" href="../../../selfisys.prior.html#selfisys.prior.planck_prior.Nbin_min"><code class="docutils literal notranslate"><span class="pre">planck_prior.Nbin_min</span></code></a></li>
<li class="toctree-l3"><a class="reference internal" href="../../../selfisys.prior.html#selfisys.prior.planck_prior.compute"><code class="docutils literal notranslate"><span class="pre">planck_prior.compute()</span></code></a></li>
<li class="toctree-l3"><a class="reference internal" href="../../../selfisys.prior.html#selfisys.prior.planck_prior.load"><code class="docutils literal notranslate"><span class="pre">planck_prior.load()</span></code></a></li>
<li class="toctree-l3"><a class="reference internal" href="../../../selfisys.prior.html#selfisys.prior.planck_prior.logpdf"><code class="docutils literal notranslate"><span class="pre">planck_prior.logpdf()</span></code></a></li>
<li class="toctree-l3"><a class="reference internal" href="../../../selfisys.prior.html#selfisys.prior.planck_prior.sample"><code class="docutils literal notranslate"><span class="pre">planck_prior.sample()</span></code></a></li>
<li class="toctree-l3"><a class="reference internal" href="../../../selfisys.prior.html#selfisys.prior.planck_prior.save"><code class="docutils literal notranslate"><span class="pre">planck_prior.save()</span></code></a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="../../../selfisys.prior.html#selfisys.prior.worker_class"><code class="docutils literal notranslate"><span class="pre">worker_class()</span></code></a></li>
</ul>
</li>
<li class="toctree-l1"><a class="reference internal" href="../../../selfisys.selection_functions.html">selection_functions</a><ul>
<li class="toctree-l2"><a class="reference internal" href="../../../selfisys.selection_functions.html#selfisys.selection_functions.LognormalSelection"><code class="docutils literal notranslate"><span class="pre">LognormalSelection</span></code></a><ul>
<li class="toctree-l3"><a class="reference internal" href="../../../selfisys.selection_functions.html#selfisys.selection_functions.LognormalSelection.init_selection"><code class="docutils literal notranslate"><span class="pre">LognormalSelection.init_selection()</span></code></a></li>
<li class="toctree-l3"><a class="reference internal" href="../../../selfisys.selection_functions.html#selfisys.selection_functions.LognormalSelection.lognormals_z_to_x"><code class="docutils literal notranslate"><span class="pre">LognormalSelection.lognormals_z_to_x()</span></code></a></li>
<li class="toctree-l3"><a class="reference internal" href="../../../selfisys.selection_functions.html#selfisys.selection_functions.LognormalSelection.multiple_lognormal"><code class="docutils literal notranslate"><span class="pre">LognormalSelection.multiple_lognormal()</span></code></a></li>
<li class="toctree-l3"><a class="reference internal" href="../../../selfisys.selection_functions.html#selfisys.selection_functions.LognormalSelection.multiple_lognormal_z"><code class="docutils literal notranslate"><span class="pre">LognormalSelection.multiple_lognormal_z()</span></code></a></li>
<li class="toctree-l3"><a class="reference internal" href="../../../selfisys.selection_functions.html#selfisys.selection_functions.LognormalSelection.one_lognormal"><code class="docutils literal notranslate"><span class="pre">LognormalSelection.one_lognormal()</span></code></a></li>
<li class="toctree-l3"><a class="reference internal" href="../../../selfisys.selection_functions.html#selfisys.selection_functions.LognormalSelection.one_lognormal_z"><code class="docutils literal notranslate"><span class="pre">LognormalSelection.one_lognormal_z()</span></code></a></li>
<li class="toctree-l3"><a class="reference internal" href="../../../selfisys.selection_functions.html#selfisys.selection_functions.LognormalSelection.r_grid"><code class="docutils literal notranslate"><span class="pre">LognormalSelection.r_grid()</span></code></a></li>
</ul>
</li>
</ul>
</li>
<li class="toctree-l1"><a class="reference internal" href="../../../selfisys.selfi_interface.html">selfi_interface</a><ul>
<li class="toctree-l2"><a class="reference internal" href="../../../selfisys.selfi_interface.html#selfisys.selfi_interface.PrintMessage"><code class="docutils literal notranslate"><span class="pre">PrintMessage()</span></code></a></li>
<li class="toctree-l2"><a class="reference internal" href="../../../selfisys.selfi_interface.html#selfisys.selfi_interface.indent"><code class="docutils literal notranslate"><span class="pre">indent()</span></code></a></li>
<li class="toctree-l2"><a class="reference internal" href="../../../selfisys.selfi_interface.html#selfisys.selfi_interface.unindent"><code class="docutils literal notranslate"><span class="pre">unindent()</span></code></a></li>
</ul>
</li>
<li class="toctree-l1"><a class="reference internal" href="../../../selfisys.sbmy_interface.html">sbmy_interface</a><ul>
<li class="toctree-l2"><a class="reference internal" href="../../../selfisys.sbmy_interface.html#selfisys.sbmy_interface.compute_Phi"><code class="docutils literal notranslate"><span class="pre">compute_Phi()</span></code></a></li>
<li class="toctree-l2"><a class="reference internal" href="../../../selfisys.sbmy_interface.html#selfisys.sbmy_interface.generate_white_noise_Field"><code class="docutils literal notranslate"><span class="pre">generate_white_noise_Field()</span></code></a></li>
<li class="toctree-l2"><a class="reference internal" href="../../../selfisys.sbmy_interface.html#selfisys.sbmy_interface.get_power_spectrum_from_cosmo"><code class="docutils literal notranslate"><span class="pre">get_power_spectrum_from_cosmo()</span></code></a></li>
<li class="toctree-l2"><a class="reference internal" href="../../../selfisys.sbmy_interface.html#selfisys.sbmy_interface.handle_time_stepping"><code class="docutils literal notranslate"><span class="pre">handle_time_stepping()</span></code></a></li>
<li class="toctree-l2"><a class="reference internal" href="../../../selfisys.sbmy_interface.html#selfisys.sbmy_interface.setup_sbmy_parfiles"><code class="docutils literal notranslate"><span class="pre">setup_sbmy_parfiles()</span></code></a></li>
</ul>
</li>
<li class="toctree-l1"><a class="reference internal" href="../../../selfisys.grf.html">grf</a><ul>
<li class="toctree-l2"><a class="reference internal" href="../../../selfisys.grf.html#selfisys.grf.primordial_grf"><code class="docutils literal notranslate"><span class="pre">primordial_grf()</span></code></a></li>
</ul>
</li>
<li class="toctree-l1"><a class="reference internal" href="../../../selfisys.utils.html">selfisys.utils package</a><ul>
<li class="toctree-l2"><a class="reference internal" href="../../../selfisys.utils.html#submodules">Submodules</a></li>
<li class="toctree-l2"><a class="reference internal" href="../../../selfisys.utils.html#module-selfisys.utils.examples_utils">selfisys.utils.examples_utils module</a><ul>
<li class="toctree-l3"><a class="reference internal" href="../../../selfisys.utils.html#selfisys.utils.examples_utils.clear_large_plot"><code class="docutils literal notranslate"><span class="pre">clear_large_plot()</span></code></a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="../../../selfisys.utils.html#module-selfisys.utils.logger">selfisys.utils.logger module</a><ul>
<li class="toctree-l3"><a class="reference internal" href="../../../selfisys.utils.html#selfisys.utils.logger.CustomLogger"><code class="docutils literal notranslate"><span class="pre">CustomLogger</span></code></a><ul>
<li class="toctree-l4"><a class="reference internal" href="../../../selfisys.utils.html#selfisys.utils.logger.CustomLogger.diagnostic"><code class="docutils literal notranslate"><span class="pre">CustomLogger.diagnostic()</span></code></a></li>
</ul>
</li>
<li class="toctree-l3"><a class="reference internal" href="../../../selfisys.utils.html#selfisys.utils.logger.CustomLoggerHandler"><code class="docutils literal notranslate"><span class="pre">CustomLoggerHandler</span></code></a><ul>
<li class="toctree-l4"><a class="reference internal" href="../../../selfisys.utils.html#selfisys.utils.logger.CustomLoggerHandler.emit"><code class="docutils literal notranslate"><span class="pre">CustomLoggerHandler.emit()</span></code></a></li>
</ul>
</li>
<li class="toctree-l3"><a class="reference internal" href="../../../selfisys.utils.html#selfisys.utils.logger.INDENT"><code class="docutils literal notranslate"><span class="pre">INDENT()</span></code></a></li>
<li class="toctree-l3"><a class="reference internal" href="../../../selfisys.utils.html#selfisys.utils.logger.PrintDiagnostic"><code class="docutils literal notranslate"><span class="pre">PrintDiagnostic()</span></code></a></li>
<li class="toctree-l3"><a class="reference internal" href="../../../selfisys.utils.html#selfisys.utils.logger.PrintError"><code class="docutils literal notranslate"><span class="pre">PrintError()</span></code></a></li>
<li class="toctree-l3"><a class="reference internal" href="../../../selfisys.utils.html#selfisys.utils.logger.PrintInfo"><code class="docutils literal notranslate"><span class="pre">PrintInfo()</span></code></a></li>
<li class="toctree-l3"><a class="reference internal" href="../../../selfisys.utils.html#selfisys.utils.logger.PrintLeftType"><code class="docutils literal notranslate"><span class="pre">PrintLeftType()</span></code></a></li>
<li class="toctree-l3"><a class="reference internal" href="../../../selfisys.utils.html#selfisys.utils.logger.PrintWarning"><code class="docutils literal notranslate"><span class="pre">PrintWarning()</span></code></a></li>
<li class="toctree-l3"><a class="reference internal" href="../../../selfisys.utils.html#selfisys.utils.logger.UNINDENT"><code class="docutils literal notranslate"><span class="pre">UNINDENT()</span></code></a></li>
<li class="toctree-l3"><a class="reference internal" href="../../../selfisys.utils.html#selfisys.utils.logger.getCustomLogger"><code class="docutils literal notranslate"><span class="pre">getCustomLogger()</span></code></a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="../../../selfisys.utils.html#module-selfisys.utils.low_level">selfisys.utils.low_level module</a><ul>
<li class="toctree-l3"><a class="reference internal" href="../../../selfisys.utils.html#selfisys.utils.low_level.stderr_redirector"><code class="docutils literal notranslate"><span class="pre">stderr_redirector()</span></code></a></li>
<li class="toctree-l3"><a class="reference internal" href="../../../selfisys.utils.html#selfisys.utils.low_level.stdout_redirector"><code class="docutils literal notranslate"><span class="pre">stdout_redirector()</span></code></a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="../../../selfisys.utils.html#module-selfisys.utils.parser">selfisys.utils.parser module</a><ul>
<li class="toctree-l3"><a class="reference internal" href="../../../selfisys.utils.html#selfisys.utils.parser.bool_sh"><code class="docutils literal notranslate"><span class="pre">bool_sh()</span></code></a></li>
<li class="toctree-l3"><a class="reference internal" href="../../../selfisys.utils.html#selfisys.utils.parser.check_files_exist"><code class="docutils literal notranslate"><span class="pre">check_files_exist()</span></code></a></li>
<li class="toctree-l3"><a class="reference internal" href="../../../selfisys.utils.html#selfisys.utils.parser.intNone"><code class="docutils literal notranslate"><span class="pre">intNone()</span></code></a></li>
<li class="toctree-l3"><a class="reference internal" href="../../../selfisys.utils.html#selfisys.utils.parser.joinstrs"><code class="docutils literal notranslate"><span class="pre">joinstrs()</span></code></a></li>
<li class="toctree-l3"><a class="reference internal" href="../../../selfisys.utils.html#selfisys.utils.parser.joinstrs_only"><code class="docutils literal notranslate"><span class="pre">joinstrs_only()</span></code></a></li>
<li class="toctree-l3"><a class="reference internal" href="../../../selfisys.utils.html#selfisys.utils.parser.none_or_bool_or_str"><code class="docutils literal notranslate"><span class="pre">none_or_bool_or_str()</span></code></a></li>
<li class="toctree-l3"><a class="reference internal" href="../../../selfisys.utils.html#selfisys.utils.parser.safe_npload"><code class="docutils literal notranslate"><span class="pre">safe_npload()</span></code></a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="../../../selfisys.utils.html#module-selfisys.utils.path_utils">selfisys.utils.path_utils module</a><ul>
<li class="toctree-l3"><a class="reference internal" href="../../../selfisys.utils.html#selfisys.utils.path_utils.file_names_evaluate"><code class="docutils literal notranslate"><span class="pre">file_names_evaluate()</span></code></a></li>
<li class="toctree-l3"><a class="reference internal" href="../../../selfisys.utils.html#selfisys.utils.path_utils.get_file_names"><code class="docutils literal notranslate"><span class="pre">get_file_names()</span></code></a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="../../../selfisys.utils.html#module-selfisys.utils.plot_examples">selfisys.utils.plot_examples module</a><ul>
<li class="toctree-l3"><a class="reference internal" href="../../../selfisys.utils.html#selfisys.utils.plot_examples.plot_comoving_distance_redshift"><code class="docutils literal notranslate"><span class="pre">plot_comoving_distance_redshift()</span></code></a></li>
<li class="toctree-l3"><a class="reference internal" href="../../../selfisys.utils.html#selfisys.utils.plot_examples.plot_galaxy_field_slice"><code class="docutils literal notranslate"><span class="pre">plot_galaxy_field_slice()</span></code></a></li>
<li class="toctree-l3"><a class="reference internal" href="../../../selfisys.utils.html#selfisys.utils.plot_examples.plot_power_spectrum"><code class="docutils literal notranslate"><span class="pre">plot_power_spectrum()</span></code></a></li>
<li class="toctree-l3"><a class="reference internal" href="../../../selfisys.utils.html#selfisys.utils.plot_examples.plot_selection_functions_def_in_z"><code class="docutils literal notranslate"><span class="pre">plot_selection_functions_def_in_z()</span></code></a></li>
<li class="toctree-l3"><a class="reference internal" href="../../../selfisys.utils.html#selfisys.utils.plot_examples.redshift_distance_conversion"><code class="docutils literal notranslate"><span class="pre">redshift_distance_conversion()</span></code></a></li>
<li class="toctree-l3"><a class="reference internal" href="../../../selfisys.utils.html#selfisys.utils.plot_examples.relative_error_analysis"><code class="docutils literal notranslate"><span class="pre">relative_error_analysis()</span></code></a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="../../../selfisys.utils.html#module-selfisys.utils.plot_params">selfisys.utils.plot_params module</a><ul>
<li class="toctree-l3"><a class="reference internal" href="../../../selfisys.utils.html#selfisys.utils.plot_params.ScalarFormatterForceFormat_11"><code class="docutils literal notranslate"><span class="pre">ScalarFormatterForceFormat_11</span></code></a><ul>
<li class="toctree-l4"><a class="reference internal" href="../../../selfisys.utils.html#selfisys.utils.plot_params.ScalarFormatterForceFormat_11.get_offset"><code class="docutils literal notranslate"><span class="pre">ScalarFormatterForceFormat_11.get_offset()</span></code></a></li>
<li class="toctree-l4"><a class="reference internal" href="../../../selfisys.utils.html#selfisys.utils.plot_params.ScalarFormatterForceFormat_11.set_scientific"><code class="docutils literal notranslate"><span class="pre">ScalarFormatterForceFormat_11.set_scientific()</span></code></a></li>
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<h1>Source code for selfisys.utils.workers</h1><div class="highlight"><pre>
<span></span><span class="ch">#!/usr/bin/env python3</span>
<span class="c1"># ----------------------------------------------------------------------</span>
<span class="c1"># Copyright (C) 2024 Tristan Hoellinger</span>
<span class="c1"># Distributed under the GNU General Public License v3.0 (GPLv3).</span>
<span class="c1"># See the LICENSE file in the root directory for details.</span>
<span class="c1"># SPDX-License-Identifier: GPL-3.0-or-later</span>
<span class="c1"># ----------------------------------------------------------------------</span>
<span class="n">__author__</span> <span class="o">=</span> <span class="s2">&quot;Tristan Hoellinger&quot;</span>
<span class="n">__version__</span> <span class="o">=</span> <span class="s2">&quot;0.1.0&quot;</span>
<span class="n">__date__</span> <span class="o">=</span> <span class="s2">&quot;2024&quot;</span>
<span class="n">__license__</span> <span class="o">=</span> <span class="s2">&quot;GPLv3&quot;</span>
<span class="sd">&quot;&quot;&quot;</span>
<span class="sd">Routines for parameter inference and gradient evaluation in the SelfiSys</span>
<span class="sd">pipeline.</span>
<span class="sd">&quot;&quot;&quot;</span>
<span class="kn">import</span> <span class="nn">gc</span>
<span class="kn">from</span> <span class="nn">typing</span> <span class="kn">import</span> <span class="n">Any</span><span class="p">,</span> <span class="n">Tuple</span><span class="p">,</span> <span class="n">List</span>
<span class="kn">from</span> <span class="nn">selfisys.utils.logger</span> <span class="kn">import</span> <span class="n">getCustomLogger</span>
<span class="n">logger</span> <span class="o">=</span> <span class="n">getCustomLogger</span><span class="p">(</span><span class="vm">__name__</span><span class="p">)</span>
<div class="viewcode-block" id="Simbelmyne_worker">
<a class="viewcode-back" href="../../../selfisys.utils.html#selfisys.utils.workers.Simbelmyne_worker">[docs]</a>
<span class="k">def</span> <span class="nf">Simbelmyne_worker</span><span class="p">(</span><span class="n">args</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">[</span><span class="nb">float</span><span class="p">,</span> <span class="n">Any</span><span class="p">]:</span>
<span class="w"> </span><span class="sd">&quot;&quot;&quot;</span>
<span class="sd"> Worker function used for implicit likelihood inference of</span>
<span class="sd"> cosmological parameters.</span>
<span class="sd"> Parameters</span>
<span class="sd"> ----------</span>
<span class="sd"> args : tuple</span>
<span class="sd"> A tuple of arguments to be unpacked for the worker routine:</span>
<span class="sd"> (index, param_val, param_id, fsimdir, k_s, Pbins_bnd,</span>
<span class="sd"> selection_params, norm_csts, P_ss_obj_path, obs_density,</span>
<span class="sd"> lin_bias, noise, survey_mask_path, G_sim_path, G_ss_path, Np0,</span>
<span class="sd"> Npm0, seedphase_init, seednoise_init, size, L,</span>
<span class="sd"> radial_selection, sim_params, wd, batch_idx, dbg, modeldir,</span>
<span class="sd"> local_mask_prefix, TimeStepDistribution, indices_steps_cumul,</span>
<span class="sd"> eff_redshifts, poolname_abc, setup_only, prefix_mocks).</span>
<span class="sd"> Returns</span>
<span class="sd"> -------</span>
<span class="sd"> tuple</span>
<span class="sd"> (param_val, Phi) where param_val is the parameter value used,</span>
<span class="sd"> and Phi is the resulting summary from evaluating the model.</span>
<span class="sd"> Raises</span>
<span class="sd"> ------</span>
<span class="sd"> OSError</span>
<span class="sd"> If file I/O (reading or writing mock data) fails.</span>
<span class="sd"> RuntimeError</span>
<span class="sd"> For unexpected errors in the worker routine.</span>
<span class="sd"> &quot;&quot;&quot;</span>
<span class="kn">import</span> <span class="nn">os</span>
<span class="kn">from</span> <span class="nn">pathlib</span> <span class="kn">import</span> <span class="n">Path</span>
<span class="k">try</span><span class="p">:</span>
<span class="p">(</span>
<span class="n">index</span><span class="p">,</span>
<span class="n">param_val</span><span class="p">,</span>
<span class="n">param_id</span><span class="p">,</span>
<span class="n">fsimdir</span><span class="p">,</span>
<span class="n">k_s</span><span class="p">,</span>
<span class="n">Pbins_bnd</span><span class="p">,</span>
<span class="n">selection_params</span><span class="p">,</span>
<span class="n">norm_csts</span><span class="p">,</span>
<span class="n">P_ss_obj_path</span><span class="p">,</span>
<span class="n">obs_density</span><span class="p">,</span>
<span class="n">lin_bias</span><span class="p">,</span>
<span class="n">noise</span><span class="p">,</span>
<span class="n">survey_mask_path</span><span class="p">,</span>
<span class="n">G_sim_path</span><span class="p">,</span>
<span class="n">G_ss_path</span><span class="p">,</span>
<span class="n">Np0</span><span class="p">,</span>
<span class="n">Npm0</span><span class="p">,</span>
<span class="n">seedphase_init</span><span class="p">,</span>
<span class="n">seednoise_init</span><span class="p">,</span>
<span class="n">size</span><span class="p">,</span>
<span class="n">L</span><span class="p">,</span>
<span class="n">radial_selection</span><span class="p">,</span>
<span class="n">sim_params</span><span class="p">,</span>
<span class="n">wd</span><span class="p">,</span>
<span class="n">batch_idx</span><span class="p">,</span>
<span class="n">dbg</span><span class="p">,</span>
<span class="n">modeldir</span><span class="p">,</span>
<span class="n">local_mask_prefix</span><span class="p">,</span>
<span class="n">TimeStepDistribution</span><span class="p">,</span>
<span class="n">indices_steps_cumul</span><span class="p">,</span>
<span class="n">eff_redshifts</span><span class="p">,</span>
<span class="n">poolname_abc</span><span class="p">,</span>
<span class="n">setup_only</span><span class="p">,</span>
<span class="n">prefix_mocks</span><span class="p">,</span>
<span class="p">)</span> <span class="o">=</span> <span class="n">args</span>
<span class="n">spectrum_name</span> <span class="o">=</span> <span class="nb">int</span><span class="p">(</span><span class="nb">str</span><span class="p">(</span><span class="n">seedphase_init</span> <span class="o">+</span> <span class="n">index</span><span class="p">)</span> <span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="n">seednoise_init</span> <span class="o">+</span> <span class="n">index</span><span class="p">))</span>
<span class="n">pooldir</span> <span class="o">=</span> <span class="p">(</span>
<span class="n">fsimdir</span> <span class="o">+</span> <span class="s2">&quot;/pool/d&quot;</span> <span class="k">if</span> <span class="ow">not</span> <span class="n">poolname_abc</span> <span class="k">else</span> <span class="n">fsimdir</span> <span class="o">+</span> <span class="s2">&quot;/pool/&quot;</span> <span class="o">+</span> <span class="n">poolname_abc</span> <span class="o">+</span> <span class="s2">&quot;/d&quot;</span>
<span class="p">)</span>
<span class="n">simdir_d</span> <span class="o">=</span> <span class="n">pooldir</span> <span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="n">spectrum_name</span><span class="p">)</span> <span class="o">+</span> <span class="s2">&quot;/&quot;</span>
<span class="n">Path</span><span class="p">(</span><span class="n">simdir_d</span><span class="p">)</span><span class="o">.</span><span class="n">mkdir</span><span class="p">(</span><span class="n">parents</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">exist_ok</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
<span class="k">if</span> <span class="n">prefix_mocks</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
<span class="n">fname_mocks</span> <span class="o">=</span> <span class="p">(</span>
<span class="n">simdir_d</span> <span class="o">+</span> <span class="s2">&quot;mocks_d&quot;</span> <span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="n">spectrum_name</span><span class="p">)</span> <span class="o">+</span> <span class="s2">&quot;_p&quot;</span> <span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="n">batch_idx</span> <span class="o">+</span> <span class="n">index</span><span class="p">)</span> <span class="o">+</span> <span class="s2">&quot;.h5&quot;</span>
<span class="p">)</span>
<span class="k">else</span><span class="p">:</span>
<span class="n">fname_mocks</span> <span class="o">=</span> <span class="p">(</span>
<span class="n">simdir_d</span>
<span class="o">+</span> <span class="n">prefix_mocks</span>
<span class="o">+</span> <span class="s2">&quot;_mocks_d&quot;</span>
<span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="n">spectrum_name</span><span class="p">)</span>
<span class="o">+</span> <span class="s2">&quot;_p&quot;</span>
<span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="n">batch_idx</span> <span class="o">+</span> <span class="n">index</span><span class="p">)</span>
<span class="o">+</span> <span class="s2">&quot;.h5&quot;</span>
<span class="p">)</span>
<span class="k">if</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">exists</span><span class="p">(</span><span class="n">fname_mocks</span><span class="p">):</span>
<span class="kn">from</span> <span class="nn">h5py</span> <span class="kn">import</span> <span class="n">File</span>
<span class="n">logger</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span><span class="s2">&quot;Mock file </span><span class="si">%s</span><span class="s2"> found, loading existing data...&quot;</span><span class="p">,</span> <span class="n">fname_mocks</span><span class="p">)</span>
<span class="k">with</span> <span class="n">File</span><span class="p">(</span><span class="n">fname_mocks</span><span class="p">,</span> <span class="s2">&quot;r&quot;</span><span class="p">)</span> <span class="k">as</span> <span class="n">f</span><span class="p">:</span>
<span class="n">Phi</span> <span class="o">=</span> <span class="n">f</span><span class="p">[</span><span class="s2">&quot;Phi&quot;</span><span class="p">][:]</span>
<span class="k">else</span><span class="p">:</span>
<span class="n">logger</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span><span class="s2">&quot;No existing mock file at </span><span class="si">%s</span><span class="s2">, generating new data...&quot;</span><span class="p">,</span> <span class="n">fname_mocks</span><span class="p">)</span>
<span class="kn">from</span> <span class="nn">numpy.random</span> <span class="kn">import</span> <span class="n">normal</span>
<span class="kn">from</span> <span class="nn">numpy</span> <span class="kn">import</span> <span class="n">shape</span><span class="p">,</span> <span class="nb">max</span>
<span class="kn">from</span> <span class="nn">selfisys.global_parameters</span> <span class="kn">import</span> <span class="n">BASELINE_SEEDNORM</span><span class="p">,</span> <span class="n">omegas_gt</span>
<span class="kn">from</span> <span class="nn">selfisys.utils.tools</span> <span class="kn">import</span> <span class="n">get_k_max</span>
<span class="kn">from</span> <span class="nn">selfisys.hiddenbox</span> <span class="kn">import</span> <span class="n">HiddenBox</span>
<span class="kn">from</span> <span class="nn">selfisys.utils.tools</span> <span class="kn">import</span> <span class="n">get_summary</span>
<span class="n">P</span> <span class="o">=</span> <span class="nb">len</span><span class="p">(</span><span class="n">Pbins_bnd</span><span class="p">)</span> <span class="o">-</span> <span class="mi">1</span>
<span class="k">try</span><span class="p">:</span>
<span class="n">BB_selfi</span> <span class="o">=</span> <span class="n">HiddenBox</span><span class="p">(</span>
<span class="n">k_s</span><span class="o">=</span><span class="n">k_s</span><span class="p">,</span>
<span class="n">P_ss_path</span><span class="o">=</span><span class="n">P_ss_obj_path</span><span class="p">,</span>
<span class="n">Pbins_bnd</span><span class="o">=</span><span class="n">Pbins_bnd</span><span class="p">,</span>
<span class="n">theta2P</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
<span class="n">P</span><span class="o">=</span><span class="n">P</span> <span class="o">*</span> <span class="n">shape</span><span class="p">(</span><span class="n">selection_params</span><span class="p">)[</span><span class="mi">1</span><span class="p">],</span> <span class="c1"># P * Npop</span>
<span class="n">size</span><span class="o">=</span><span class="n">size</span><span class="p">,</span>
<span class="n">L</span><span class="o">=</span><span class="n">L</span><span class="p">,</span>
<span class="n">G_sim_path</span><span class="o">=</span><span class="n">G_sim_path</span><span class="p">,</span>
<span class="n">G_ss_path</span><span class="o">=</span><span class="n">G_ss_path</span><span class="p">,</span>
<span class="n">Np0</span><span class="o">=</span><span class="n">Np0</span><span class="p">,</span>
<span class="n">Npm0</span><span class="o">=</span><span class="n">Npm0</span><span class="p">,</span>
<span class="n">fsimdir</span><span class="o">=</span><span class="n">wd</span><span class="p">[:</span><span class="o">-</span><span class="mi">1</span><span class="p">],</span>
<span class="n">modeldir</span><span class="o">=</span><span class="n">modeldir</span><span class="p">,</span>
<span class="n">noise_std</span><span class="o">=</span><span class="n">noise</span><span class="p">,</span>
<span class="n">radial_selection</span><span class="o">=</span><span class="n">radial_selection</span><span class="p">,</span>
<span class="n">selection_params</span><span class="o">=</span><span class="n">selection_params</span><span class="p">,</span>
<span class="n">observed_density</span><span class="o">=</span><span class="n">obs_density</span><span class="p">,</span>
<span class="n">linear_bias</span><span class="o">=</span><span class="n">lin_bias</span><span class="p">,</span>
<span class="n">norm_csts</span><span class="o">=</span><span class="n">norm_csts</span><span class="p">,</span>
<span class="n">survey_mask_path</span><span class="o">=</span><span class="n">survey_mask_path</span><span class="p">,</span>
<span class="n">local_mask_prefix</span><span class="o">=</span><span class="n">local_mask_prefix</span><span class="p">,</span>
<span class="n">sim_params</span><span class="o">=</span><span class="n">sim_params</span><span class="p">,</span>
<span class="n">TimeStepDistribution</span><span class="o">=</span><span class="n">TimeStepDistribution</span><span class="p">,</span>
<span class="n">TimeSteps</span><span class="o">=</span><span class="n">indices_steps_cumul</span><span class="p">,</span>
<span class="n">eff_redshifts</span><span class="o">=</span><span class="n">eff_redshifts</span><span class="p">,</span>
<span class="n">seedphase</span><span class="o">=</span><span class="n">seedphase_init</span><span class="p">,</span>
<span class="n">seednoise</span><span class="o">=</span><span class="n">seednoise_init</span><span class="p">,</span>
<span class="n">fixnoise</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
<span class="n">seednorm</span><span class="o">=</span><span class="n">BASELINE_SEEDNORM</span><span class="p">,</span>
<span class="n">reset</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
<span class="n">save_frequency</span><span class="o">=</span><span class="mi">5</span><span class="p">,</span>
<span class="n">verbosity</span><span class="o">=</span><span class="mi">2</span><span class="p">,</span>
<span class="p">)</span>
<span class="n">k_max</span> <span class="o">=</span> <span class="n">get_k_max</span><span class="p">(</span><span class="n">L</span><span class="p">,</span> <span class="n">size</span><span class="p">)</span>
<span class="k">except</span> <span class="ne">Exception</span> <span class="k">as</span> <span class="n">e</span><span class="p">:</span>
<span class="n">logger</span><span class="o">.</span><span class="n">critical</span><span class="p">(</span><span class="s2">&quot;Error instantiating HiddenBox: </span><span class="si">%s</span><span class="s2">&quot;</span><span class="p">,</span> <span class="nb">str</span><span class="p">(</span><span class="n">e</span><span class="p">))</span>
<span class="k">raise</span> <span class="ne">RuntimeError</span><span class="p">(</span><span class="s2">&quot;Failed to set up HiddenBox.&quot;</span><span class="p">)</span> <span class="kn">from</span> <span class="nn">e</span>
<span class="c1"># Evaluate the param -&gt; &#39;theta&#39; using some get_summary logic</span>
<span class="k">try</span><span class="p">:</span>
<span class="n">theta</span> <span class="o">=</span> <span class="n">get_summary</span><span class="p">(</span><span class="n">param_val</span><span class="p">,</span> <span class="n">param_id</span><span class="p">,</span> <span class="n">omegas_gt</span><span class="p">,</span> <span class="n">k_s</span><span class="p">,</span> <span class="n">kmax</span><span class="o">=</span><span class="n">k_max</span><span class="p">)</span>
<span class="k">except</span> <span class="ne">Exception</span><span class="p">:</span>
<span class="n">max_tries</span> <span class="o">=</span> <span class="mi">10</span>
<span class="n">perturb_std</span> <span class="o">=</span> <span class="mf">1e-8</span>
<span class="n">param_val_init</span> <span class="o">=</span> <span class="n">param_val</span>
<span class="n">logger</span><span class="o">.</span><span class="n">warning</span><span class="p">(</span>
<span class="s2">&quot;get_summary failed for param_val=</span><span class="si">%s</span><span class="s2">. Trying small perturbations...&quot;</span><span class="p">,</span> <span class="n">param_val</span>
<span class="p">)</span>
<span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">max_tries</span><span class="p">):</span>
<span class="n">param_val</span> <span class="o">=</span> <span class="n">normal</span><span class="p">(</span><span class="n">param_val_init</span><span class="p">,</span> <span class="n">perturb_std</span><span class="p">)</span>
<span class="n">logger</span><span class="o">.</span><span class="n">diagnostic</span><span class="p">(</span><span class="s2">&quot;Attempt #</span><span class="si">%d</span><span class="s2">: param_val=</span><span class="si">%s</span><span class="s2">&quot;</span><span class="p">,</span> <span class="n">i</span> <span class="o">+</span> <span class="mi">1</span><span class="p">,</span> <span class="n">param_val</span><span class="p">)</span>
<span class="k">try</span><span class="p">:</span>
<span class="n">theta</span> <span class="o">=</span> <span class="n">get_summary</span><span class="p">(</span><span class="n">param_val</span><span class="p">,</span> <span class="n">param_id</span><span class="p">,</span> <span class="n">omegas_gt</span><span class="p">,</span> <span class="n">k_s</span><span class="p">,</span> <span class="n">kmax</span><span class="o">=</span><span class="n">k_max</span><span class="p">)</span>
<span class="n">logger</span><span class="o">.</span><span class="n">diagnostic</span><span class="p">(</span>
<span class="s2">&quot;Success with param_val=</span><span class="si">%s</span><span class="s2"> on attempt #</span><span class="si">%d</span><span class="s2">&quot;</span><span class="p">,</span> <span class="n">param_val</span><span class="p">,</span> <span class="n">i</span> <span class="o">+</span> <span class="mi">1</span>
<span class="p">)</span>
<span class="k">break</span>
<span class="k">except</span> <span class="ne">Exception</span><span class="p">:</span>
<span class="k">if</span> <span class="n">i</span> <span class="o">==</span> <span class="n">max_tries</span> <span class="o">-</span> <span class="mi">1</span><span class="p">:</span>
<span class="n">logger</span><span class="o">.</span><span class="n">critical</span><span class="p">(</span>
<span class="s2">&quot;All attempts to get_summary failed for param_val=</span><span class="si">%s</span><span class="s2">&quot;</span><span class="p">,</span>
<span class="n">param_val_init</span><span class="p">,</span>
<span class="p">)</span>
<span class="k">raise</span> <span class="ne">RuntimeError</span><span class="p">(</span><span class="s2">&quot;get_summary repeatedly failed.&quot;</span><span class="p">)</span>
<span class="k">continue</span>
<span class="kn">from</span> <span class="nn">io</span> <span class="kn">import</span> <span class="n">BytesIO</span>
<span class="kn">from</span> <span class="nn">selfisys.utils.low_level</span> <span class="kn">import</span> <span class="n">stderr_redirector</span><span class="p">,</span> <span class="n">stdout_redirector</span>
<span class="n">cosmo_vect</span> <span class="o">=</span> <span class="n">omegas_gt</span>
<span class="n">cosmo_vect</span><span class="p">[</span><span class="n">param_id</span><span class="p">]</span> <span class="o">=</span> <span class="n">param_val</span>
<span class="n">logger</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span><span class="s2">&quot;Evaluating model with HPC redirection, setup_only=</span><span class="si">%s</span><span class="s2">&quot;</span><span class="p">,</span> <span class="n">setup_only</span><span class="p">)</span>
<span class="n">f</span> <span class="o">=</span> <span class="n">BytesIO</span><span class="p">()</span>
<span class="n">g</span> <span class="o">=</span> <span class="n">BytesIO</span><span class="p">()</span>
<span class="k">try</span><span class="p">:</span>
<span class="k">with</span> <span class="n">stderr_redirector</span><span class="p">(</span><span class="n">f</span><span class="p">):</span>
<span class="k">with</span> <span class="n">stdout_redirector</span><span class="p">(</span><span class="n">g</span><span class="p">):</span>
<span class="k">if</span> <span class="n">setup_only</span><span class="p">:</span>
<span class="n">BB_selfi</span><span class="o">.</span><span class="n">switch_setup</span><span class="p">()</span>
<span class="k">else</span><span class="p">:</span>
<span class="n">BB_selfi</span><span class="o">.</span><span class="n">switch_recompute_pool</span><span class="p">(</span><span class="n">prefix_mocks</span><span class="o">=</span><span class="n">prefix_mocks</span><span class="p">)</span>
<span class="n">Phi</span> <span class="o">=</span> <span class="n">BB_selfi</span><span class="o">.</span><span class="n">evaluate</span><span class="p">(</span>
<span class="n">theta</span><span class="p">,</span>
<span class="n">spectrum_name</span><span class="p">,</span>
<span class="n">seedphase_init</span> <span class="o">+</span> <span class="n">index</span><span class="p">,</span>
<span class="n">seednoise_init</span> <span class="o">+</span> <span class="n">index</span><span class="p">,</span>
<span class="n">i</span><span class="o">=</span><span class="n">batch_idx</span> <span class="o">+</span> <span class="n">index</span><span class="p">,</span>
<span class="n">thetaIsP</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
<span class="n">remove_sbmy</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
<span class="n">force_powerspectrum</span><span class="o">=</span><span class="n">dbg</span><span class="p">,</span>
<span class="n">force_parfiles</span><span class="o">=</span><span class="n">dbg</span><span class="p">,</span>
<span class="n">check_output</span><span class="o">=</span><span class="n">dbg</span><span class="p">,</span>
<span class="n">abc</span><span class="o">=</span><span class="n">poolname_abc</span><span class="p">,</span>
<span class="n">cosmo_vect</span><span class="o">=</span><span class="n">cosmo_vect</span><span class="p">,</span>
<span class="p">)</span>
<span class="k">if</span> <span class="n">setup_only</span><span class="p">:</span>
<span class="n">BB_selfi</span><span class="o">.</span><span class="n">switch_setup</span><span class="p">()</span>
<span class="k">else</span><span class="p">:</span>
<span class="n">BB_selfi</span><span class="o">.</span><span class="n">switch_recompute_pool</span><span class="p">(</span><span class="n">prefix_mocks</span><span class="o">=</span><span class="n">prefix_mocks</span><span class="p">)</span>
<span class="k">except</span> <span class="ne">Exception</span> <span class="k">as</span> <span class="n">e</span><span class="p">:</span>
<span class="n">logger</span><span class="o">.</span><span class="n">critical</span><span class="p">(</span><span class="s2">&quot;Error while evaluating model: </span><span class="si">%s</span><span class="s2">&quot;</span><span class="p">,</span> <span class="nb">str</span><span class="p">(</span><span class="n">e</span><span class="p">))</span>
<span class="k">raise</span> <span class="ne">RuntimeError</span><span class="p">(</span><span class="s2">&quot;Simbelmyne_worker model evaluation failed.&quot;</span><span class="p">)</span> <span class="kn">from</span> <span class="nn">e</span>
<span class="k">finally</span><span class="p">:</span>
<span class="n">g</span><span class="o">.</span><span class="n">close</span><span class="p">()</span>
<span class="n">f</span><span class="o">.</span><span class="n">close</span><span class="p">()</span>
<span class="n">logger</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span><span class="s2">&quot;Returning param_val=</span><span class="si">%s</span><span class="s2"> with resulting Phi of shape </span><span class="si">%s</span><span class="s2">&quot;</span><span class="p">,</span> <span class="n">param_val</span><span class="p">,</span> <span class="n">Phi</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span>
<span class="k">return</span> <span class="n">param_val</span><span class="p">,</span> <span class="n">Phi</span>
<span class="k">except</span> <span class="ne">OSError</span> <span class="k">as</span> <span class="n">e</span><span class="p">:</span>
<span class="n">logger</span><span class="o">.</span><span class="n">error</span><span class="p">(</span><span class="s2">&quot;File I/O error in Simbelmyne_worker: </span><span class="si">%s</span><span class="s2">&quot;</span><span class="p">,</span> <span class="nb">str</span><span class="p">(</span><span class="n">e</span><span class="p">))</span>
<span class="k">raise</span>
<span class="k">except</span> <span class="ne">Exception</span> <span class="k">as</span> <span class="n">e</span><span class="p">:</span>
<span class="n">logger</span><span class="o">.</span><span class="n">critical</span><span class="p">(</span><span class="s2">&quot;Unexpected error in Simbelmyne_worker: </span><span class="si">%s</span><span class="s2">&quot;</span><span class="p">,</span> <span class="nb">str</span><span class="p">(</span><span class="n">e</span><span class="p">))</span>
<span class="k">raise</span> <span class="ne">RuntimeError</span><span class="p">(</span><span class="s2">&quot;Simbelmyne_worker HPC run failed.&quot;</span><span class="p">)</span> <span class="kn">from</span> <span class="nn">e</span>
<span class="k">finally</span><span class="p">:</span>
<span class="n">gc</span><span class="o">.</span><span class="n">collect</span><span class="p">()</span></div>
<div class="viewcode-block" id="worker_gradient_Symbelmyne">
<a class="viewcode-back" href="../../../selfisys.utils.html#selfisys.utils.workers.worker_gradient_Symbelmyne">[docs]</a>
<span class="k">def</span> <span class="nf">worker_gradient_Symbelmyne</span><span class="p">(</span>
<span class="n">coeff</span><span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
<span class="n">delta_x</span><span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
<span class="n">omega</span><span class="p">,</span>
<span class="n">param_index</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
<span class="n">k_s</span><span class="p">,</span>
<span class="n">delta</span><span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
<span class="n">kmax</span><span class="p">:</span> <span class="nb">float</span><span class="p">,</span>
<span class="p">):</span>
<span class="w"> </span><span class="sd">&quot;&quot;&quot;</span>
<span class="sd"> Worker function for evaluating the gradient of the power spectrum</span>
<span class="sd"> using finite differences.</span>
<span class="sd"> Parameters</span>
<span class="sd"> ----------</span>
<span class="sd"> coeff : float</span>
<span class="sd"> Coefficient for the finite difference.</span>
<span class="sd"> delta_x : float</span>
<span class="sd"> Step size in the parameter space.</span>
<span class="sd"> omega : ndarray</span>
<span class="sd"> Base cosmological parameter vector.</span>
<span class="sd"> param_index : int</span>
<span class="sd"> Index of the parameter being varied.</span>
<span class="sd"> k_s : ndarray</span>
<span class="sd"> Array of wavenumbers.</span>
<span class="sd"> delta : float</span>
<span class="sd"> Denominator for finite differences (scaled).</span>
<span class="sd"> kmax : float</span>
<span class="sd"> Maximum wavenumber for power spectrum.</span>
<span class="sd"> Returns</span>
<span class="sd"> -------</span>
<span class="sd"> ndarray</span>
<span class="sd"> The gradient of the power spectrum wrt the specified parameter.</span>
<span class="sd"> Raises</span>
<span class="sd"> ------</span>
<span class="sd"> RuntimeError</span>
<span class="sd"> If the gradient evaluation fails.</span>
<span class="sd"> &quot;&quot;&quot;</span>
<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
<span class="kn">from</span> <span class="nn">pysbmy.power</span> <span class="kn">import</span> <span class="n">get_Pk</span>
<span class="kn">from</span> <span class="nn">selfisys.utils.tools</span> <span class="kn">import</span> <span class="n">cosmo_vector_to_Simbelmyne_dict</span>
<span class="n">omega_new</span> <span class="o">=</span> <span class="n">omega</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span>
<span class="k">try</span><span class="p">:</span>
<span class="n">omega_new</span><span class="p">[</span><span class="n">param_index</span><span class="p">]</span> <span class="o">+=</span> <span class="n">delta_x</span>
<span class="n">ps</span> <span class="o">=</span> <span class="n">get_Pk</span><span class="p">(</span><span class="n">k_s</span><span class="p">,</span> <span class="n">cosmo_vector_to_Simbelmyne_dict</span><span class="p">(</span><span class="n">omega_new</span><span class="p">,</span> <span class="n">kmax</span><span class="o">=</span><span class="n">kmax</span><span class="p">))</span>
<span class="n">contrib_to_grad</span> <span class="o">=</span> <span class="p">(</span><span class="n">coeff</span> <span class="o">*</span> <span class="n">ps</span><span class="p">)</span> <span class="o">/</span> <span class="n">delta</span>
<span class="k">return</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">contrib_to_grad</span><span class="p">)</span>
<span class="k">except</span> <span class="ne">Exception</span> <span class="k">as</span> <span class="n">e</span><span class="p">:</span>
<span class="n">logger</span><span class="o">.</span><span class="n">critical</span><span class="p">(</span><span class="s2">&quot;Error in worker_gradient_Symbelmyne: </span><span class="si">%s</span><span class="s2">&quot;</span><span class="p">,</span> <span class="nb">str</span><span class="p">(</span><span class="n">e</span><span class="p">))</span>
<span class="k">raise</span> <span class="ne">RuntimeError</span><span class="p">(</span><span class="s2">&quot;worker_gradient_Symbelmyne failed.&quot;</span><span class="p">)</span> <span class="kn">from</span> <span class="nn">e</span>
<span class="k">finally</span><span class="p">:</span>
<span class="n">gc</span><span class="o">.</span><span class="n">collect</span><span class="p">()</span></div>
<div class="viewcode-block" id="evaluate_gradient_of_Symbelmyne">
<a class="viewcode-back" href="../../../selfisys.utils.html#selfisys.utils.workers.evaluate_gradient_of_Symbelmyne">[docs]</a>
<span class="k">def</span> <span class="nf">evaluate_gradient_of_Symbelmyne</span><span class="p">(</span>
<span class="n">omega</span><span class="p">,</span>
<span class="n">param_index</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
<span class="n">k_s</span><span class="p">,</span>
<span class="n">coeffs</span><span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">float</span><span class="p">]</span> <span class="o">=</span> <span class="p">[</span><span class="mi">2</span> <span class="o">/</span> <span class="mf">3.0</span><span class="p">,</span> <span class="o">-</span><span class="mi">1</span> <span class="o">/</span> <span class="mf">12.0</span><span class="p">],</span>
<span class="n">deltas_x</span><span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">float</span><span class="p">]</span> <span class="o">=</span> <span class="p">[</span><span class="mf">0.01</span><span class="p">,</span> <span class="mf">0.02</span><span class="p">],</span>
<span class="n">delta</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mf">1e-2</span><span class="p">,</span>
<span class="n">kmax</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mf">1.4</span><span class="p">,</span>
<span class="p">):</span>
<span class="w"> </span><span class="sd">&quot;&quot;&quot;</span>
<span class="sd"> Estimate the gradient of CLASS with respect to the cosmological</span>
<span class="sd"> parameters using central finite differences of arbitrary order.</span>
<span class="sd"> Parameters</span>
<span class="sd"> ----------</span>
<span class="sd"> omega : ndarray</span>
<span class="sd"> Base cosmological parameter vector.</span>
<span class="sd"> param_index : int</span>
<span class="sd"> Index of the parameter to differentiate against.</span>
<span class="sd"> k_s : ndarray</span>
<span class="sd"> Wavenumbers for the power spectrum.</span>
<span class="sd"> coeffs : list of float, optional</span>
<span class="sd"> Coefficients for the finite-difference scheme, typically</span>
<span class="sd"> [2/3, -1/12] etc. Default is [2/3.0, -1/12.0].</span>
<span class="sd"> deltas_x : list of float, optional</span>
<span class="sd"> Step sizes. The corresponding negative steps are generated</span>
<span class="sd"> automatically. Default is [0.01, 0.02].</span>
<span class="sd"> delta : float, optional</span>
<span class="sd"> Scale for the finite difference in the denominator. Default is</span>
<span class="sd"> 1e-2.</span>
<span class="sd"> kmax : float, optional</span>
<span class="sd"> Maximum wavenumber for the power spectrum. Default is 1.4.</span>
<span class="sd"> Returns</span>
<span class="sd"> -------</span>
<span class="sd"> ndarray</span>
<span class="sd"> The gradient of the power spectrum wrt the specified parameter.</span>
<span class="sd"> Raises</span>
<span class="sd"> ------</span>
<span class="sd"> RuntimeError</span>
<span class="sd"> If the gradient evaluation fails.</span>
<span class="sd"> &quot;&quot;&quot;</span>
<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
<span class="kn">from</span> <span class="nn">multiprocessing</span> <span class="kn">import</span> <span class="n">Pool</span>
<span class="k">try</span><span class="p">:</span>
<span class="n">grad</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">zeros</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">k_s</span><span class="p">))</span>
<span class="n">full_coeffs</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">concatenate</span><span class="p">((</span><span class="o">-</span><span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">coeffs</span><span class="p">)[::</span><span class="o">-</span><span class="mi">1</span><span class="p">],</span> <span class="n">coeffs</span><span class="p">))</span>
<span class="n">deltas_x_full</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">concatenate</span><span class="p">((</span><span class="o">-</span><span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">deltas_x</span><span class="p">)[::</span><span class="o">-</span><span class="mi">1</span><span class="p">],</span> <span class="n">deltas_x</span><span class="p">))</span>
<span class="n">tasks</span> <span class="o">=</span> <span class="p">[</span>
<span class="p">(</span><span class="n">c</span><span class="p">,</span> <span class="n">dx</span><span class="p">,</span> <span class="n">omega</span><span class="p">,</span> <span class="n">param_index</span><span class="p">,</span> <span class="n">k_s</span><span class="p">,</span> <span class="n">delta</span><span class="p">,</span> <span class="n">kmax</span><span class="p">)</span>
<span class="k">for</span> <span class="n">c</span><span class="p">,</span> <span class="n">dx</span> <span class="ow">in</span> <span class="nb">zip</span><span class="p">(</span><span class="n">full_coeffs</span><span class="p">,</span> <span class="n">deltas_x_full</span><span class="p">)</span>
<span class="p">]</span>
<span class="n">logger</span><span class="o">.</span><span class="n">diagnostic</span><span class="p">(</span><span class="s2">&quot;Starting parallel HPC for gradient, tasks=</span><span class="si">%d</span><span class="s2">&quot;</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="n">tasks</span><span class="p">))</span>
<span class="k">with</span> <span class="n">Pool</span><span class="p">()</span> <span class="k">as</span> <span class="n">mp_pool</span><span class="p">:</span>
<span class="n">results</span> <span class="o">=</span> <span class="n">mp_pool</span><span class="o">.</span><span class="n">starmap</span><span class="p">(</span><span class="n">worker_gradient_Symbelmyne</span><span class="p">,</span> <span class="n">tasks</span><span class="p">)</span>
<span class="k">for</span> <span class="n">contrib</span> <span class="ow">in</span> <span class="n">results</span><span class="p">:</span>
<span class="n">grad</span> <span class="o">+=</span> <span class="n">contrib</span>
<span class="n">logger</span><span class="o">.</span><span class="n">diagnostic</span><span class="p">(</span><span class="s2">&quot;Gradient evaluation completed. Shape=</span><span class="si">%s</span><span class="s2">&quot;</span><span class="p">,</span> <span class="n">grad</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span>
<span class="k">return</span> <span class="n">grad</span>
<span class="k">except</span> <span class="ne">Exception</span> <span class="k">as</span> <span class="n">e</span><span class="p">:</span>
<span class="n">logger</span><span class="o">.</span><span class="n">critical</span><span class="p">(</span><span class="s2">&quot;Unexpected error in evaluate_gradient_of_Symbelmyne: </span><span class="si">%s</span><span class="s2">&quot;</span><span class="p">,</span> <span class="nb">str</span><span class="p">(</span><span class="n">e</span><span class="p">))</span>
<span class="k">raise</span> <span class="ne">RuntimeError</span><span class="p">(</span><span class="s2">&quot;evaluate_gradient_of_Symbelmyne failed.&quot;</span><span class="p">)</span> <span class="kn">from</span> <span class="nn">e</span>
<span class="k">finally</span><span class="p">:</span>
<span class="n">gc</span><span class="o">.</span><span class="n">collect</span><span class="p">()</span></div>
</pre></div>
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