{
 "cells": [
  {
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   "source": [
    "$$\n",
    "\\newcommand{\\argmax}{arg\\,max}\n",
    "\\newcommand{\\argmin}{arg\\,min}\n",
    "\\newcommand{\\col}{col}\n",
    "\\newcommand{\\Span}{span}\n",
    "\\newcommand{\\epsilon}{\\varepsilon}\n",
    "\\newcommand{\\EE}{\\mathbb{E}}\n",
    "\\newcommand{\\PP}{\\mathbb{P}}\n",
    "\\newcommand{\\RR}{\\mathbb{R}}\n",
    "\\newcommand{\\NN}{\\mathbb{N}}\n",
    "\\newcommand{\\ZZ}{\\mathbb{Z}}\n",
    "\\newcommand{\\aA}{\\mathcal{A}}\n",
    "\\newcommand{\\bB}{\\mathcal{B}}\n",
    "\\newcommand{\\cC}{\\mathcal{C}}\n",
    "\\newcommand{\\dD}{\\mathcal{D}}\n",
    "\\newcommand{\\eE}{\\mathcal{E}}\n",
    "\\newcommand{\\fF}{\\mathcal{F}}\n",
    "\\newcommand{\\gG}{\\mathcal{G}}\n",
    "\\newcommand{\\hH}{\\mathcal{H}}\n",
    "$$"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dd7a10e2",
   "metadata": {},
   "source": [
    "# Execution Statistics\n",
    "\n",
    "This table contains the latest execution statistics.\n",
    "\n",
    "[](https://python-advanced.quantecon.org/BCG_complete_mkts.html)[](https://python-advanced.quantecon.org/BCG_incomplete_mkts.html)[](https://python-advanced.quantecon.org/additive_functionals.html)[](https://python-advanced.quantecon.org/amss.html)[](https://python-advanced.quantecon.org/amss2.html)[](https://python-advanced.quantecon.org/amss3.html)[](https://python-advanced.quantecon.org/arellano.html)[](https://python-advanced.quantecon.org/arma.html)[](https://python-advanced.quantecon.org/asset_pricing_lph.html)[](https://python-advanced.quantecon.org/black_litterman.html)[](https://python-advanced.quantecon.org/calvo.html)[](https://python-advanced.quantecon.org/calvo_abreu.html)[](https://python-advanced.quantecon.org/calvo_machine_learn.html)[](https://python-advanced.quantecon.org/cattle_cycles.html)[](https://python-advanced.quantecon.org/chang_credible.html)[](https://python-advanced.quantecon.org/chang_ramsey.html)[](https://python-advanced.quantecon.org/classical_filtering.html)[](https://python-advanced.quantecon.org/coase.html)[](https://python-advanced.quantecon.org/cons_news.html)[](https://python-advanced.quantecon.org/discrete_dp.html)[](https://python-advanced.quantecon.org/dyn_stack.html)[](https://python-advanced.quantecon.org/entropy.html)[](https://python-advanced.quantecon.org/estspec.html)[](https://python-advanced.quantecon.org/five_preferences.html)[](https://python-advanced.quantecon.org/gorman_heterogeneous_households.html)[](https://python-advanced.quantecon.org/growth_in_dles.html)[](https://python-advanced.quantecon.org/hs_invertibility_example.html)[](https://python-advanced.quantecon.org/hs_recursive_models.html)[](https://python-advanced.quantecon.org/intro.html)[](https://python-advanced.quantecon.org/irfs_in_hall_model.html)[](https://python-advanced.quantecon.org/knowing_forecasts_of_others.html)[](https://python-advanced.quantecon.org/lqramsey.html)[](https://python-advanced.quantecon.org/lu_tricks.html)[](https://python-advanced.quantecon.org/lucas_asset_pricing_dles.html)[](https://python-advanced.quantecon.org/lucas_model.html)[](https://python-advanced.quantecon.org/markov_jump_lq.html)[](https://python-advanced.quantecon.org/match_transport.html)[](https://python-advanced.quantecon.org/matsuyama.html)[](https://python-advanced.quantecon.org/muth_kalman.html)[](https://python-advanced.quantecon.org/opt_tax_recur.html)[](https://python-advanced.quantecon.org/orth_proj.html)[](https://python-advanced.quantecon.org/permanent_income_dles.html)[](https://python-advanced.quantecon.org/rob_markov_perf.html)[](https://python-advanced.quantecon.org/robustness.html)[](https://python-advanced.quantecon.org/rosen_schooling_model.html)[](https://python-advanced.quantecon.org/smoothing.html)[](https://python-advanced.quantecon.org/smoothing_tax.html)[](https://python-advanced.quantecon.org/stationary_densities.html)[](https://python-advanced.quantecon.org/.html)[](https://python-advanced.quantecon.org/tax_smoothing_1.html)[](https://python-advanced.quantecon.org/tax_smoothing_2.html)[](https://python-advanced.quantecon.org/tax_smoothing_3.html)[](https://python-advanced.quantecon.org/troubleshooting.html)[](https://python-advanced.quantecon.org/un_insure.html)[](https://python-advanced.quantecon.org/zreferences.html)|Document|Modified|Method|Run Time (s)|Status|\n",
    "|:------------------:|:------------------:|:------------------:|:------------------:|:------------------:|\n",
    "|BCG_complete_mkts|2026-01-26 03:45|cache|47.34|✅|\n",
    "|BCG_incomplete_mkts|2026-01-26 03:47|cache|92.52|✅|\n",
    "|additive_functionals|2026-01-28 10:46|cache|18.08|✅|\n",
    "|amss|2026-01-26 03:49|cache|149.59|✅|\n",
    "|amss2|2026-01-26 03:50|cache|55.78|✅|\n",
    "|amss3|2026-01-26 03:54|cache|231.64|✅|\n",
    "|arellano|2026-01-26 03:55|cache|58.68|✅|\n",
    "|arma|2026-01-26 03:55|cache|6.3|✅|\n",
    "|asset_pricing_lph|2026-01-26 03:55|cache|2.61|✅|\n",
    "|black_litterman|2026-01-26 03:56|cache|49.12|✅|\n",
    "|calvo|2026-01-26 03:56|cache|8.49|✅|\n",
    "|calvo_abreu|2026-01-26 03:56|cache|3.67|✅|\n",
    "|calvo_machine_learn|2026-01-26 03:57|cache|17.73|✅|\n",
    "|cattle_cycles|2026-01-26 03:57|cache|3.83|✅|\n",
    "|chang_credible|2026-01-26 04:02|cache|345.5|✅|\n",
    "|chang_ramsey|2026-01-26 04:10|cache|476.72|✅|\n",
    "|classical_filtering|2026-01-26 04:10|cache|1.54|✅|\n",
    "|coase|2026-01-26 04:11|cache|3.73|✅|\n",
    "|cons_news|2026-01-26 04:11|cache|5.28|✅|\n",
    "|discrete_dp|2026-01-26 04:11|cache|28.67|✅|\n",
    "|dyn_stack|2026-01-26 04:11|cache|5.5|✅|\n",
    "|entropy|2026-01-26 04:11|cache|0.79|✅|\n",
    "|estspec|2026-01-26 04:11|cache|4.53|✅|\n",
    "|five_preferences|2026-01-26 04:12|cache|48.46|✅|\n",
    "|gorman_heterogeneous_households|2026-01-28 10:46|cache|14.75|✅|\n",
    "|growth_in_dles|2026-01-26 04:12|cache|3.81|✅|\n",
    "|hs_invertibility_example|2026-01-26 04:12|cache|3.88|✅|\n",
    "|hs_recursive_models|2026-01-26 04:13|cache|4.02|✅|\n",
    "|intro|2026-01-26 04:13|cache|4.02|✅|\n",
    "|irfs_in_hall_model|2026-01-26 04:13|cache|3.57|✅|\n",
    "|knowing_forecasts_of_others|2026-01-26 04:13|cache|30.5|✅|\n",
    "|lqramsey|2026-01-26 04:13|cache|4.89|✅|\n",
    "|lu_tricks|2026-01-26 04:13|cache|2.3|✅|\n",
    "|lucas_asset_pricing_dles|2026-01-26 04:13|cache|3.52|✅|\n",
    "|lucas_model|2026-01-26 04:13|cache|6.91|✅|\n",
    "|markov_jump_lq|2026-01-26 04:15|cache|76.72|✅|\n",
    "|match_transport|2026-01-26 04:15|cache|21.62|✅|\n",
    "|matsuyama|2026-01-26 04:15|cache|6.04|✅|\n",
    "|muth_kalman|2026-01-26 04:15|cache|5.42|✅|\n",
    "|opt_tax_recur|2026-01-26 04:16|cache|31.18|✅|\n",
    "|orth_proj|2026-01-26 04:16|cache|1.2|✅|\n",
    "|permanent_income_dles|2026-01-26 04:16|cache|3.9|✅|\n",
    "|rob_markov_perf|2026-01-26 04:16|cache|3.57|✅|\n",
    "|robustness|2026-01-26 04:16|cache|4.39|✅|\n",
    "|rosen_schooling_model|2026-01-26 04:16|cache|3.71|✅|\n",
    "|smoothing|2026-01-26 04:16|cache|5.42|✅|\n",
    "|smoothing_tax|2026-01-26 04:16|cache|5.91|✅|\n",
    "|stationary_densities|2026-01-26 04:16|cache|7.68|✅|\n",
    "|status|2026-01-26 04:16|cache|4.2|✅|\n",
    "|tax_smoothing_1|2026-01-26 04:17|cache|10.27|✅|\n",
    "|tax_smoothing_2|2026-01-26 04:17|cache|4.33|✅|\n",
    "|tax_smoothing_3|2026-01-26 04:17|cache|4.3|✅|\n",
    "|troubleshooting|2026-01-26 04:13|cache|4.02|✅|\n",
    "|un_insure|2026-01-26 04:17|cache|11.74|✅|\n",
    "|zreferences|2026-01-26 04:13|cache|4.02|✅|\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": "ac2e74b9",
   "metadata": {
    "hide-output": false
   },
   "outputs": [],
   "source": [
    "!python --version"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1d982b6d",
   "metadata": {},
   "source": [
    "and the following package versions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9b29917d",
   "metadata": {
    "hide-output": false
   },
   "outputs": [],
   "source": [
    "!conda list"
   ]
  }
 ],
 "metadata": {
  "date": 1769597375.8586297,
  "filename": "status.md",
  "kernelspec": {
   "display_name": "Python",
   "language": "python3",
   "name": "python3"
  },
  "title": "Execution Statistics"
 },
 "nbformat": 4,
 "nbformat_minor": 5
}