{
 "cells": [
  {
   "cell_type": "markdown",
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   "metadata": {},
   "source": [
    "$$\n",
    "\\newcommand{\\argmax}{arg\\,max}\n",
    "\\newcommand{\\argmin}{arg\\,min}\n",
    "$$"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3f957c89",
   "metadata": {},
   "source": [
    "# Execution Statistics\n",
    "\n",
    "This table contains the latest execution statistics.\n",
    "\n",
    "[](https://python.quantecon.org/aiyagari.html)[](https://python.quantecon.org/ak2.html)[](https://python.quantecon.org/ak_aiyagari.html)[](https://python.quantecon.org/ar1_bayes.html)[](https://python.quantecon.org/ar1_turningpts.html)[](https://python.quantecon.org/back_prop.html)[](https://python.quantecon.org/bayes_nonconj.html)[](https://python.quantecon.org/career.html)[](https://python.quantecon.org/cass_fiscal.html)[](https://python.quantecon.org/cass_fiscal_2.html)[](https://python.quantecon.org/cass_koopmans_1.html)[](https://python.quantecon.org/cass_koopmans_2.html)[](https://python.quantecon.org/cross_product_trick.html)[](https://python.quantecon.org/divergence_measures.html)[](https://python.quantecon.org/eig_circulant.html)[](https://python.quantecon.org/endogenous_lake.html)[](https://python.quantecon.org/exchangeable.html)[](https://python.quantecon.org/finite_markov.html)[](https://python.quantecon.org/ge_arrow.html)[](https://python.quantecon.org/harrison_kreps.html)[](https://python.quantecon.org/hoist_failure.html)[](https://python.quantecon.org/house_auction.html)[](https://python.quantecon.org/ifp_advanced.html)[](https://python.quantecon.org/ifp_discrete.html)[](https://python.quantecon.org/ifp_egm.html)[](https://python.quantecon.org/ifp_egm_transient_shocks.html)[](https://python.quantecon.org/ifp_opi.html)[](https://python.quantecon.org/imp_sample.html)[](https://python.quantecon.org/intro.html)[](https://python.quantecon.org/inventory_dynamics.html)[](https://python.quantecon.org/jv.html)[](https://python.quantecon.org/kalman.html)[](https://python.quantecon.org/kalman_2.html)[](https://python.quantecon.org/kesten_processes.html)[](https://python.quantecon.org/lagrangian_lqdp.html)[](https://python.quantecon.org/lake_model.html)[](https://python.quantecon.org/likelihood_bayes.html)[](https://python.quantecon.org/likelihood_ratio_process.html)[](https://python.quantecon.org/likelihood_ratio_process_2.html)[](https://python.quantecon.org/likelihood_var.html)[](https://python.quantecon.org/linear_algebra.html)[](https://python.quantecon.org/linear_models.html)[](https://python.quantecon.org/lln_clt.html)[](https://python.quantecon.org/lq_inventories.html)[](https://python.quantecon.org/lqcontrol.html)[](https://python.quantecon.org/markov_asset.html)[](https://python.quantecon.org/markov_perf.html)[](https://python.quantecon.org/mccall_fitted_vfi.html)[](https://python.quantecon.org/mccall_model.html)[](https://python.quantecon.org/mccall_model_with_sep_markov.html)[](https://python.quantecon.org/mccall_model_with_separation.html)[](https://python.quantecon.org/mccall_persist_trans.html)[](https://python.quantecon.org/mccall_q.html)[](https://python.quantecon.org/mix_model.html)[](https://python.quantecon.org/mle.html)[](https://python.quantecon.org/morris_learn.html)[](https://python.quantecon.org/multi_hyper.html)[](https://python.quantecon.org/multivariate_normal.html)[](https://python.quantecon.org/navy_captain.html)[](https://python.quantecon.org/newton_method.html)[](https://python.quantecon.org/odu.html)[](https://python.quantecon.org/ols.html)[](https://python.quantecon.org/opt_transport.html)[](https://python.quantecon.org/os.html)[](https://python.quantecon.org/os_egm.html)[](https://python.quantecon.org/os_egm_jax.html)[](https://python.quantecon.org/os_numerical.html)[](https://python.quantecon.org/os_stochastic.html)[](https://python.quantecon.org/os_time_iter.html)[](https://python.quantecon.org/pandas_panel.html)[](https://python.quantecon.org/perm_income.html)[](https://python.quantecon.org/perm_income_cons.html)[](https://python.quantecon.org/prob_matrix.html)[](https://python.quantecon.org/prob_meaning.html)[](https://python.quantecon.org/qr_decomp.html)[](https://python.quantecon.org/rand_resp.html)[](https://python.quantecon.org/rational_expectations.html)[](https://python.quantecon.org/re_with_feedback.html)[](https://python.quantecon.org/samuelson.html)[](https://python.quantecon.org/sir_model.html)[](https://python.quantecon.org/stats_examples.html)[](https://python.quantecon.org/.html)[](https://python.quantecon.org/svd_intro.html)[](https://python.quantecon.org/troubleshooting.html)[](https://python.quantecon.org/two_auctions.html)[](https://python.quantecon.org/uncertainty_traps.html)[](https://python.quantecon.org/util_rand_resp.html)[](https://python.quantecon.org/var_dmd.html)[](https://python.quantecon.org/von_neumann_model.html)[](https://python.quantecon.org/wald_friedman.html)[](https://python.quantecon.org/wald_friedman_2.html)[](https://python.quantecon.org/wealth_dynamics.html)[](https://python.quantecon.org/zreferences.html)|Document|Modified|Method|Run Time (s)|Status|\n",
    "|:------------------:|:------------------:|:------------------:|:------------------:|:------------------:|\n",
    "|aiyagari|2026-02-02 03:59|cache|27.02|✅|\n",
    "|ak2|2026-02-02 03:59|cache|12.23|✅|\n",
    "|ak_aiyagari|2026-02-02 04:00|cache|30.54|✅|\n",
    "|ar1_bayes|2026-02-02 04:04|cache|260.54|✅|\n",
    "|ar1_turningpts|2026-02-02 04:05|cache|23.45|✅|\n",
    "|back_prop|2026-02-02 04:06|cache|92.54|✅|\n",
    "|bayes_nonconj|2026-02-02 04:25|cache|1106.85|✅|\n",
    "|career|2026-02-02 04:25|cache|11.02|✅|\n",
    "|cass_fiscal|2026-02-02 04:25|cache|17.64|✅|\n",
    "|cass_fiscal_2|2026-02-02 04:25|cache|5.33|✅|\n",
    "|cass_koopmans_1|2026-02-02 04:26|cache|13.32|✅|\n",
    "|cass_koopmans_2|2026-02-02 04:26|cache|6.26|✅|\n",
    "|cross_product_trick|2026-02-02 04:26|cache|0.95|✅|\n",
    "|divergence_measures|2026-02-02 04:26|cache|12.16|✅|\n",
    "|eig_circulant|2026-02-02 04:26|cache|5.27|✅|\n",
    "|endogenous_lake|2026-02-02 04:34|cache|483.92|✅|\n",
    "|exchangeable|2026-02-02 04:34|cache|7.79|✅|\n",
    "|finite_markov|2026-02-02 04:34|cache|5.96|✅|\n",
    "|ge_arrow|2026-02-02 04:34|cache|1.8|✅|\n",
    "|harrison_kreps|2026-02-02 04:34|cache|3.6|✅|\n",
    "|hoist_failure|2026-02-02 04:35|cache|48.62|✅|\n",
    "|house_auction|2026-02-02 04:35|cache|2.9|✅|\n",
    "|ifp_advanced|2026-02-02 04:36|cache|26.49|✅|\n",
    "|ifp_discrete|2026-02-02 04:36|cache|13.2|✅|\n",
    "|ifp_egm|2026-02-02 04:36|cache|10.17|✅|\n",
    "|ifp_egm_transient_shocks|2026-02-02 04:36|cache|18.0|✅|\n",
    "|ifp_opi|2026-02-02 04:36|cache|9.05|✅|\n",
    "|imp_sample|2026-02-02 04:41|cache|250.45|✅|\n",
    "|intro|2026-02-02 04:41|cache|1.1|✅|\n",
    "|inventory_dynamics|2026-02-02 04:41|cache|9.73|✅|\n",
    "|jv|2026-02-02 04:41|cache|15.17|✅|\n",
    "|kalman|2026-02-02 04:41|cache|7.89|✅|\n",
    "|kalman_2|2026-02-02 04:42|cache|42.29|✅|\n",
    "|kesten_processes|2026-02-02 04:42|cache|16.93|✅|\n",
    "|lagrangian_lqdp|2026-02-02 04:43|cache|25.64|✅|\n",
    "|lake_model|2026-02-02 04:43|cache|10.64|✅|\n",
    "|likelihood_bayes|2026-02-02 04:44|cache|44.23|✅|\n",
    "|likelihood_ratio_process|2026-02-02 04:44|cache|22.11|✅|\n",
    "|likelihood_ratio_process_2|2026-02-02 04:44|cache|29.4|✅|\n",
    "|likelihood_var|2026-02-02 04:45|cache|18.88|✅|\n",
    "|linear_algebra|2026-02-02 04:45|cache|2.38|✅|\n",
    "|linear_models|2026-02-02 04:45|cache|7.52|✅|\n",
    "|lln_clt|2026-02-02 04:45|cache|9.88|✅|\n",
    "|lq_inventories|2026-02-02 04:45|cache|11.94|✅|\n",
    "|lqcontrol|2026-02-02 04:45|cache|4.79|✅|\n",
    "|markov_asset|2026-02-02 04:45|cache|5.17|✅|\n",
    "|markov_perf|2026-02-02 04:46|cache|4.19|✅|\n",
    "|mccall_fitted_vfi|2026-02-02 04:46|cache|43.41|✅|\n",
    "|mccall_model|2026-02-02 04:47|cache|14.69|✅|\n",
    "|mccall_model_with_sep_markov|2026-02-02 04:47|cache|24.18|✅|\n",
    "|mccall_model_with_separation|2026-02-02 04:47|cache|14.43|✅|\n",
    "|mccall_persist_trans|2026-02-02 04:47|cache|11.1|✅|\n",
    "|mccall_q|2026-02-02 04:48|cache|15.87|✅|\n",
    "|mix_model|2026-02-02 04:49|cache|82.42|✅|\n",
    "|mle|2026-02-02 04:49|cache|11.12|✅|\n",
    "|morris_learn|2026-02-02 04:49|cache|15.61|✅|\n",
    "|multi_hyper|2026-02-02 04:50|cache|17.94|✅|\n",
    "|multivariate_normal|2026-02-02 04:50|cache|4.27|✅|\n",
    "|navy_captain|2026-02-02 04:50|cache|28.15|✅|\n",
    "|newton_method|2026-02-02 04:51|cache|56.22|✅|\n",
    "|odu|2026-02-02 04:52|cache|49.43|✅|\n",
    "|ols|2026-02-02 04:52|cache|9.53|✅|\n",
    "|opt_transport|2026-02-02 04:52|cache|12.27|✅|\n",
    "|os|2026-02-02 04:52|cache|1.85|✅|\n",
    "|os_egm|2026-02-02 04:53|cache|2.46|✅|\n",
    "|os_egm_jax|2026-02-02 04:53|cache|5.51|✅|\n",
    "|os_numerical|2026-02-02 04:53|cache|18.87|✅|\n",
    "|os_stochastic|2026-02-02 04:54|cache|56.75|✅|\n",
    "|os_time_iter|2026-02-02 04:54|cache|4.91|✅|\n",
    "|pandas_panel|2026-02-02 04:54|cache|4.79|✅|\n",
    "|perm_income|2026-02-02 04:54|cache|3.67|✅|\n",
    "|perm_income_cons|2026-02-02 04:54|cache|7.2|✅|\n",
    "|prob_matrix|2026-02-02 04:54|cache|9.21|✅|\n",
    "|prob_meaning|2026-02-02 04:55|cache|57.78|✅|\n",
    "|qr_decomp|2026-02-02 04:55|cache|1.46|✅|\n",
    "|rand_resp|2026-02-02 04:55|cache|2.61|✅|\n",
    "|rational_expectations|2026-02-02 04:55|cache|3.73|✅|\n",
    "|re_with_feedback|2026-02-02 04:56|cache|10.11|✅|\n",
    "|samuelson|2026-02-02 04:56|cache|10.6|✅|\n",
    "|sir_model|2026-02-02 04:56|cache|2.84|✅|\n",
    "|stats_examples|2026-02-02 04:56|cache|4.21|✅|\n",
    "|status|2026-02-02 04:56|cache|7.1|✅|\n",
    "|svd_intro|2026-02-02 04:56|cache|1.46|✅|\n",
    "|troubleshooting|2026-02-02 04:41|cache|1.1|✅|\n",
    "|two_auctions|2026-02-02 04:56|cache|23.74|✅|\n",
    "|uncertainty_traps|2026-02-02 04:57|cache|2.54|✅|\n",
    "|util_rand_resp|2026-02-02 04:57|cache|2.61|✅|\n",
    "|var_dmd|2026-02-02 04:41|cache|1.1|✅|\n",
    "|von_neumann_model|2026-02-02 04:57|cache|2.6|✅|\n",
    "|wald_friedman|2026-02-02 04:57|cache|19.34|✅|\n",
    "|wald_friedman_2|2026-02-02 04:57|cache|13.35|✅|\n",
    "|wealth_dynamics|2026-02-02 04:58|cache|33.39|✅|\n",
    "|zreferences|2026-02-02 04:41|cache|1.1|✅|\n",
    "\n",
    "<a id='status-machine-details'></a>\n",
    "These lectures are built on `linux` instances through `github actions`.\n",
    "\n",
    "These lectures are using the following python version"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "bcca464e",
   "metadata": {
    "hide-output": false
   },
   "outputs": [],
   "source": [
    "!python --version"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9f88c13c",
   "metadata": {},
   "source": [
    "and the following package versions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e44c9991",
   "metadata": {
    "hide-output": false
   },
   "outputs": [],
   "source": [
    "!conda list"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cbabb0f6",
   "metadata": {},
   "source": [
    "This lecture series has access to the following GPU"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c3074d11",
   "metadata": {
    "hide-output": false
   },
   "outputs": [],
   "source": [
    "!nvidia-smi"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ae4fc37d",
   "metadata": {},
   "source": [
    "You can check the backend used by JAX using:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "bfa0b43b",
   "metadata": {
    "hide-output": false
   },
   "outputs": [],
   "source": [
    "import jax\n",
    "# Check if JAX is using GPU\n",
    "print(f\"JAX backend: {jax.devices()[0].platform}\")"
   ]
  }
 ],
 "metadata": {
  "date": 1770028424.7385664,
  "filename": "status.md",
  "kernelspec": {
   "display_name": "Python",
   "language": "python3",
   "name": "python3"
  },
  "title": "Execution Statistics"
 },
 "nbformat": 4,
 "nbformat_minor": 5
}