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"clubb_jax.pytests.auto_llm_generated_pytests.test_bugsrad", "duration" : 1.325, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_two_rt_sw_vs_fortran_replica", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 1, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_bugsrad", "duration" : 0.004, "errorDetails" : "FileNotFoundError: [Errno 2] No such file or directory: '/home/jenkins/workspace/clubb_jax/clubb_release/src/Radiation/BUGSrad/gases_ckd_data.h'", "errorStackTrace" : "def test_gases_ckd_data_parser():\u000a \"\"\"The gases_ckd_data.h parser builds the correlated-k tables with correct shapes, fully filled\u000a (no missing T-coefficient slices), and the right spot-checked values.\"\"\"\u000a from clubb_jax.src.Radiation.BUGSrad.gases_ckd_data import tables, KG, NUMPS, NUMPIR, NUMTS, NUMTIR\u000a> t = tables()\u000a ^^^^^^^^\u000a\u000aclubb_jax/pytests/auto_llm_generated_pytests/test_bugsrad.py:367: \u000a_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \u000aclubb_jax/src/Radiation/BUGSrad/gases_ckd_data.py:102: in tables\u000a _TABLES = load_tables()\u000a ^^^^^^^^^^^^^\u000aclubb_jax/src/Radiation/BUGSrad/gases_ckd_data.py:64: in load_tables\u000a for stmt in _logical_lines(os.path.normpath(_DATA_H)):\u000a ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u000a_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \u000a\u000apath = '/home/jenkins/workspace/clubb_jax/clubb_release/src/Radiation/BUGSrad/gases_ckd_data.h'\u000a\u000a def _logical_lines(path):\u000a \"\"\"Strip comments + #directives, join `&`-continued lines into logical statements.\"\"\"\u000a out, buf = [], ''\u000a> for raw in open(path):\u000a ^^^^^^^^^^\u000aE FileNotFoundError: [Errno 2] No such file or directory: '/home/jenkins/workspace/clubb_jax/clubb_release/src/Radiation/BUGSrad/gases_ckd_data.h'\u000a\u000aclubb_jax/src/Radiation/BUGSrad/gases_ckd_data.py:39: FileNotFoundError", "failedSince" : 4, "flakyFailures" : [ ], "name" : "test_gases_ckd_data_parser", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "FAILED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 1, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_bugsrad", "duration" : 0.0, "errorDetails" : "FileNotFoundError: [Errno 2] No such file or directory: '/home/jenkins/workspace/clubb_jax/clubb_release/src/Radiation/BUGSrad/gases_ckd_data.h'", "errorStackTrace" : "def test_gases_dispatch_vs_fortran_replica():\u000a \"\"\"The `gases` 18-band dispatch (table indexing + overlap formulas + hk weights) vs a NumPy replica.\"\"\"\u000a from clubb_jax.src.Radiation.BUGSrad.gases_ckd import gases, pscale\u000a from clubb_jax.src.Radiation.BUGSrad.gases_ckd_data import tables, KG, STANPS, STANPIR\u000a from clubb_jax.src.Radiation.BUGSrad.bugsrad_physconst import MOLAR_VOLUME as MV, GRAVITY as G, \\\u000a MW_H2O as MWh, MW_O3 as MWo, MW_DRY_AIR as MWd\u000a> T = tables()\u000a ^^^^^^^^\u000a\u000aclubb_jax/pytests/auto_llm_generated_pytests/test_bugsrad.py:396: \u000a_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \u000aclubb_jax/src/Radiation/BUGSrad/gases_ckd_data.py:102: in tables\u000a _TABLES = load_tables()\u000a ^^^^^^^^^^^^^\u000aclubb_jax/src/Radiation/BUGSrad/gases_ckd_data.py:64: in load_tables\u000a for stmt in _logical_lines(os.path.normpath(_DATA_H)):\u000a ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u000a_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \u000a\u000apath = '/home/jenkins/workspace/clubb_jax/clubb_release/src/Radiation/BUGSrad/gases_ckd_data.h'\u000a\u000a def _logical_lines(path):\u000a \"\"\"Strip comments + #directives, join `&`-continued lines into logical statements.\"\"\"\u000a out, buf = [], ''\u000a> for raw in open(path):\u000a ^^^^^^^^^^\u000aE FileNotFoundError: [Errno 2] No such file or directory: '/home/jenkins/workspace/clubb_jax/clubb_release/src/Radiation/BUGSrad/gases_ckd_data.h'\u000a\u000aclubb_jax/src/Radiation/BUGSrad/gases_ckd_data.py:39: FileNotFoundError", "failedSince" : 4, "flakyFailures" : [ ], "name" : "test_gases_dispatch_vs_fortran_replica", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "FAILED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_bugsrad", "duration" : 1.636, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_gases_ckd_helpers_vs_fortran_replica", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 1, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_bugsrad", "duration" : 4.515, "errorDetails" : "FileNotFoundError: [Errno 2] No such file or directory: '/home/jenkins/workspace/clubb_jax/clubb_release/src/Radiation/BUGSrad/gases_ckd_data.h'", "errorStackTrace" : "def test_bugs_lwr():\u000a \"\"\"LW band driver: the no-cloud invariant (all-sky == clear-sky, bit-exact), finiteness, physical\u000a flux ranges, and clouds adding downward LW.\"\"\"\u000a from clubb_jax.src.Radiation.BUGSrad.bugs_lwr import bugs_lwr\u000a rng = np.random.default_rng(11)\u000a ncol, nlm = 2, 25\u000a pp = np.cumsum(15.0 + 10.0 * rng.random((ncol, nlm + 1)), axis=1) + 1.0\u000a dp = pp[:, 1:] - pp[:, :-1]; ppl = 0.5 * (pp[:, :-1] + pp[:, 1:])\u000a tt = 220.0 + 70.0 * rng.random((ncol, nlm)); ts = 290.0 + 10.0 * rng.random(ncol)\u000a rmix = 1e-3 * rng.random((ncol, nlm)); o3mix = 1e-6 * rng.random((ncol, nlm))\u000a cw0 = np.zeros((ncol, nlm)); ci0 = np.zeros((ncol, nlm))\u000a fd, fu, fdcl, fucl = (np.asarray(x) for x in\u000a> bugs_lwr(ts, ppl, dp, tt, rmix, cw0, ci0, o3mix, pp, 330.0, 1.6, 0.28))\u000a ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u000a\u000aclubb_jax/pytests/auto_llm_generated_pytests/test_bugsrad.py:533: \u000a_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \u000aclubb_jax/src/Radiation/BUGSrad/bugs_lwr.py:77: in bugs_lwr\u000a tg, hk = gases(ib, ig, dp, tt, rmix, o3mix, umco2, umch4, umn2o, pkd, ip1, ip2, pp)\u000a ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u000aclubb_jax/src/Radiation/BUGSrad/gases_ckd.py:108: in gases\u000a T = tables()\u000a ^^^^^^^^\u000aclubb_jax/src/Radiation/BUGSrad/gases_ckd_data.py:102: in tables\u000a _TABLES = load_tables()\u000a ^^^^^^^^^^^^^\u000aclubb_jax/src/Radiation/BUGSrad/gases_ckd_data.py:64: in load_tables\u000a for stmt in _logical_lines(os.path.normpath(_DATA_H)):\u000a ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u000a_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \u000a\u000apath = '/home/jenkins/workspace/clubb_jax/clubb_release/src/Radiation/BUGSrad/gases_ckd_data.h'\u000a\u000a def _logical_lines(path):\u000a \"\"\"Strip comments + #directives, join `&`-continued lines into logical statements.\"\"\"\u000a out, buf = [], ''\u000a> for raw in open(path):\u000a ^^^^^^^^^^\u000aE FileNotFoundError: [Errno 2] No such file or directory: '/home/jenkins/workspace/clubb_jax/clubb_release/src/Radiation/BUGSrad/gases_ckd_data.h'\u000a\u000aclubb_jax/src/Radiation/BUGSrad/gases_ckd_data.py:39: FileNotFoundError", "failedSince" : 4, "flakyFailures" : [ ], "name" : "test_bugs_lwr", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "FAILED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 1, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_bugsrad", "duration" : 0.905, "errorDetails" : "FileNotFoundError: [Errno 2] No such file or directory: '/home/jenkins/workspace/clubb_jax/clubb_release/src/Radiation/BUGSrad/gases_ckd_data.h'", "errorStackTrace" : "def test_bugs_swr():\u000a \"\"\"SW band driver: no-cloud invariant (all-sky==clear-sky bit-exact), the TOA incident solar\u000a (fdsw[TOA] = amu0·slr·Σband_solar = amu0·slr·1339.946) validating the accumulation, and finiteness.\"\"\"\u000a from clubb_jax.src.Radiation.BUGSrad.bugs_swr import bugs_swr\u000a rng = np.random.default_rng(12)\u000a ncol, nlm = 2, 25\u000a pp = np.cumsum(15.0 + 10.0 * rng.random((ncol, nlm + 1)), axis=1) + 1.0\u000a dp = pp[:, 1:] - pp[:, :-1]; ppl = 0.5 * (pp[:, :-1] + pp[:, 1:])\u000a tt = 230.0 + 60.0 * rng.random((ncol, nlm)); ts = 290.0 * np.ones(ncol)\u000a rmix = 1e-3 * rng.random((ncol, nlm)); o3mix = 1e-6 * rng.random((ncol, nlm))\u000a amu0 = np.array([0.5, 0.8]); slr = np.ones(ncol); alb = 0.2 * np.ones(ncol)\u000a cw0 = np.zeros((ncol, nlm)); ci0 = np.zeros((ncol, nlm))\u000a out = [np.asarray(x) for x in\u000a> bugs_swr(ts, amu0, slr, alb, alb, alb, alb, ppl, dp, tt, rmix, cw0, ci0, o3mix, pp, 330.0, 1.6, 0.28)]\u000a ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u000a\u000aclubb_jax/pytests/auto_llm_generated_pytests/test_bugsrad.py:558: \u000a_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \u000aclubb_jax/src/Radiation/BUGSrad/bugs_swr.py:65: in bugs_swr\u000a tg, hk = gases(ib, ig, dp, ttem, rmix, o3mix, umco2, umch4, umn2o, pkd, ip1, ip2, pp)\u000a ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u000aclubb_jax/src/Radiation/BUGSrad/gases_ckd.py:108: in gases\u000a T = tables()\u000a ^^^^^^^^\u000aclubb_jax/src/Radiation/BUGSrad/gases_ckd_data.py:102: in tables\u000a _TABLES = load_tables()\u000a ^^^^^^^^^^^^^\u000aclubb_jax/src/Radiation/BUGSrad/gases_ckd_data.py:64: in load_tables\u000a for stmt in _logical_lines(os.path.normpath(_DATA_H)):\u000a ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u000a_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \u000a\u000apath = '/home/jenkins/workspace/clubb_jax/clubb_release/src/Radiation/BUGSrad/gases_ckd_data.h'\u000a\u000a def _logical_lines(path):\u000a \"\"\"Strip comments + #directives, join `&`-continued lines into logical statements.\"\"\"\u000a out, buf = [], ''\u000a> for raw in open(path):\u000a ^^^^^^^^^^\u000aE FileNotFoundError: [Errno 2] No such file or directory: '/home/jenkins/workspace/clubb_jax/clubb_release/src/Radiation/BUGSrad/gases_ckd_data.h'\u000a\u000aclubb_jax/src/Radiation/BUGSrad/gases_ckd_data.py:39: FileNotFoundError", "failedSince" : 4, "flakyFailures" : [ ], "name" : "test_bugs_swr", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "FAILED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 1, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_bugsrad", "duration" : 4.584, "errorDetails" : "FileNotFoundError: [Errno 2] No such file or directory: '/home/jenkins/workspace/clubb_jax/clubb_release/src/Radiation/BUGSrad/gases_ckd_data.h'", "errorStackTrace" : "def test_bugs_rad():\u000a \"\"\"Main orchestration: LW heating conserves (telescoping flux divergence), night columns get zero\u000a SW heating, the no-cloud invariant (all-sky heating == clear-sky), and physical heating rates.\"\"\"\u000a from clubb_jax.src.Radiation.BUGSrad.bugs_rad import bugs_rad\u000a from clubb_jax.src.Radiation.BUGSrad.bugsrad_physconst import GRAVITY, CP_DRY_AIR\u000a rng = np.random.default_rng(13)\u000a ncol, nlm = 2, 30\u000a pl2 = np.cumsum(15.0 + 10.0 * rng.random((ncol, nlm + 1)), axis=1) + 1.0\u000a dpl = pl2[:, 1:] - pl2[:, :-1]; ppl = 0.5 * (pl2[:, :-1] + pl2[:, 1:])\u000a tl = 220.0 + 70.0 * rng.random((ncol, nlm)); ts = 290.0 * np.ones(ncol)\u000a ql = 1e-3 * rng.random((ncol, nlm)); o3 = 1e-6 * rng.random((ncol, nlm)) # specific humidity, ozone\u000a amu0 = np.array([0.5, 0.005]); slr = np.ones(ncol); alb = 0.2 * np.ones(ncol) # col 0 day, col 1 night\u000a qcwl = np.where(rng.random((ncol, nlm)) > 0.6, 1e-4, 0.0) # cloud-water mixing ratio [kg/kg]\u000a qcil = np.zeros((ncol, nlm)); acld = np.where(qcwl > 0, 1.0, 0.0) # cloud ice, cloud fraction\u000a> r = bugs_rad(pl2, ppl, dpl, tl, ql, qcwl, qcil, o3, ts, amu0, slr, alb, alb, alb, alb, acld, s0=1367.0)\u000a ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u000a\u000aclubb_jax/pytests/auto_llm_generated_pytests/test_bugsrad.py:582: \u000a_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \u000aclubb_jax/src/Radiation/BUGSrad/bugs_rad.py:62: in bugs_rad\u000a fdlw, fulw, fdlwcl, fulwcl = bugs_lwr(ts, ppl, dpl, tl, rmix, cwrho, cirho, o3mix, pl2,\u000aclubb_jax/src/Radiation/BUGSrad/bugs_lwr.py:77: in bugs_lwr\u000a tg, hk = gases(ib, ig, dp, tt, rmix, o3mix, umco2, umch4, umn2o, pkd, ip1, ip2, pp)\u000a ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u000aclubb_jax/src/Radiation/BUGSrad/gases_ckd.py:108: in gases\u000a T = tables()\u000a ^^^^^^^^\u000aclubb_jax/src/Radiation/BUGSrad/gases_ckd_data.py:102: in tables\u000a _TABLES = load_tables()\u000a ^^^^^^^^^^^^^\u000aclubb_jax/src/Radiation/BUGSrad/gases_ckd_data.py:64: in load_tables\u000a for stmt in _logical_lines(os.path.normpath(_DATA_H)):\u000a ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u000a_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \u000a\u000apath = '/home/jenkins/workspace/clubb_jax/clubb_release/src/Radiation/BUGSrad/gases_ckd_data.h'\u000a\u000a def _logical_lines(path):\u000a \"\"\"Strip comments + #directives, join `&`-continued lines into logical statements.\"\"\"\u000a out, buf = [], ''\u000a> for raw in open(path):\u000a ^^^^^^^^^^\u000aE FileNotFoundError: [Errno 2] No such file or directory: '/home/jenkins/workspace/clubb_jax/clubb_release/src/Radiation/BUGSrad/gases_ckd_data.h'\u000a\u000aclubb_jax/src/Radiation/BUGSrad/gases_ckd_data.py:39: FileNotFoundError", "failedSince" : 4, "flakyFailures" : [ ], "name" : "test_bugs_rad", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "FAILED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 1, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_bugsrad", "duration" : 1.755, "errorDetails" : "FileNotFoundError: [Errno 2] No such file or directory: '/home/jenkins/workspace/clubb_jax/clubb_release/src/Radiation/BUGSrad/gases_ckd_data.h'\u000a--------------------\u000aFor simplicity, JAX has removed its internal frames from the traceback of the following exception. Set JAX_TRACEBACK_FILTERING=off to include these.", "errorStackTrace" : "def test_bugsrad_driver():\u000a \"\"\"CLUBB↔BUGSrad interface: std-atmosphere loads (50 levels), determine_extended_atmos_bounds gives\u000a sane bounds for a gabls3-like grid (model top 5 km, radiation_top 30 km), and compute_bugsrad_radiation\u000a produces a strictly-increasing radiation-grid pressure, finite CLUBB-grid heating, and zero SW at night.\"\"\"\u000a import numpy as np\u000a from clubb_jax.src.Input_fields.sounding import load_extended_std_atm\u000a from clubb_jax.src.Radiation.bugsrad_driver import (\u000a determine_extended_atmos_bounds, build_rad_grid_setup,\u000a compute_bugsrad_radiation)\u000a ext = load_extended_std_atm()\u000a assert ext['alt'].shape == (50,) and ext['alt'][0] == 1000.0 and ext['alt'][-1] == 50000.0\u000a nzm, dz, ncol = 51, 100.0, 2\u000a zm = np.arange(nzm) * dz # 0..5000 m\u000a zm_spacing = np.full(nzm - 1, dz)\u000a p_zm = 1013e2 * np.exp(-zm / 8000.0) # Pa, hydrostatic (top ≈ 542 mb)\u000a rad_top = 30000.0\u000a bottom, top, rsize, linbuf = determine_extended_atmos_bounds(zm, zm_spacing, p_zm, rad_top, ext)\u000a assert rsize >= 1 and linbuf >= 0 and top >= bottom, \"degenerate extension bounds\"\u000a assert ext['alt'][bottom - 1] >= 5000.0 and ext['alt'][top - 1] <= 30000.0, \"bounds outside [5,30] km\"\u000a setup = build_rad_grid_setup(zm, zm_spacing, p_zm, rad_top, ext)\u000a assert setup['buffer'] == linbuf + rsize\u000a # synthetic state on the nzt grid\u000a nzt = nzm - 1; rng = np.random.default_rng(7)\u000a zt = 0.5 * (zm[1:] + zm[:-1])\u000a T = np.tile(288.0 - 6.5e-3 * zt, (ncol, 1))\u000a p_zt = np.tile(1013e2 * np.exp(-zt / 8000.0), (ncol, 1))\u000a exner = (p_zt / 1.0e5) ** (287.0 / 1004.0)\u000a rho = np.tile(p_zm / (287.0 * (288.0 - 6.5e-3 * zm)), (ncol, 1))\u000a rtm = 5e-3 * np.ones((ncol, nzt)); rcm = np.zeros((ncol, nzt)); rcm[:, 5:8] = 1e-4\u000a cf = np.where(rcm > 0, 1.0, 0.0); rim = np.zeros_like(rcm); rsm = np.zeros_like(rcm); isf = np.zeros_like(rcm)\u000a amu0 = np.array([0.5, 0.0]); slr = np.ones(ncol); alb = 0.23 * np.ones(ncol)\u000a p_zm2 = np.tile(p_zm, (ncol, 1))\u000a> res = compute_bugsrad_radiation(setup, T, rcm, rtm, rsm, rim, cf, isf, p_zt, p_zm2, rho, exner,\u000a amu0, slr, alb, alb, alb, alb, sol_const=1321.0)\u000a\u000aclubb_jax/pytests/auto_llm_generated_pytests/test_bugsrad.py:628: \u000a_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \u000aclubb_jax/src/Radiation/bugsrad_driver.py:143: in compute_bugsrad_radiation\u000a out = fn(playerinmb, p_rad, diff_pres, T_rad, q_rad, rcmic_rad, rcil_rad, o3_rad,\u000aclubb_jax/src/Radiation/BUGSrad/bugs_rad.py:62: in bugs_rad\u000a fdlw, fulw, fdlwcl, fulwcl = bugs_lwr(ts, ppl, dpl, tl, rmix, cwrho, cirho, o3mix, pl2,\u000aclubb_jax/src/Radiation/BUGSrad/bugs_lwr.py:77: in bugs_lwr\u000a tg, hk = gases(ib, ig, dp, tt, rmix, o3mix, umco2, umch4, umn2o, pkd, ip1, ip2, pp)\u000a ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u000aclubb_jax/src/Radiation/BUGSrad/gases_ckd.py:108: in gases\u000a T = tables()\u000a ^^^^^^^^\u000aclubb_jax/src/Radiation/BUGSrad/gases_ckd_data.py:102: in tables\u000a _TABLES = load_tables()\u000a ^^^^^^^^^^^^^\u000aclubb_jax/src/Radiation/BUGSrad/gases_ckd_data.py:64: in load_tables\u000a for stmt in _logical_lines(os.path.normpath(_DATA_H)):\u000a ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u000a_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \u000a\u000apath = '/home/jenkins/workspace/clubb_jax/clubb_release/src/Radiation/BUGSrad/gases_ckd_data.h'\u000a\u000a def _logical_lines(path):\u000a \"\"\"Strip comments + #directives, join `&`-continued lines into logical statements.\"\"\"\u000a out, buf = [], ''\u000a> for raw in open(path):\u000a ^^^^^^^^^^\u000aE FileNotFoundError: [Errno 2] No such file or directory: '/home/jenkins/workspace/clubb_jax/clubb_release/src/Radiation/BUGSrad/gases_ckd_data.h'\u000aE --------------------\u000aE For simplicity, JAX has removed its internal frames from the traceback of the following exception. Set JAX_TRACEBACK_FILTERING=off to include these.\u000a\u000aclubb_jax/src/Radiation/BUGSrad/gases_ckd_data.py:39: FileNotFoundError", "failedSince" : 4, "flakyFailures" : [ ], "name" : "test_bugsrad_driver", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "FAILED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 1, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_bugsrad", "duration" : 0.119, "errorDetails" : "TypeError: Error interpreting argument to as an abstract array. The problematic value is of type and was passed to the function at path args[0]['cfg']['rad_scheme'].\u000aThis typically means that a jit-wrapped function was called with a non-array argument, and this argument was not marked as static using the static_argnums or static_argnames parameters of jax.jit.\u000a--------------------\u000aFor simplicity, JAX has removed its internal frames from the traceback of the following exception. Set JAX_TRACEBACK_FILTERING=off to include these.", "errorStackTrace" : "def test_bugsrad_radiation_dispatch():\u000a \"\"\"End-to-end wiring: advance_clubb_radiation(rad_scheme='bugsrad') builds the grid setup, maps a gabls3-like\u000a CLUBB state through bugs_rad, and writes a finite K/s heating rate into state['radht'] (shape (1,nzt)).\"\"\"\u000a import numpy as np\u000a from clubb_jax.src.CLUBB_core.grid_class import setup_grid\u000a from clubb_jax.src.Radiation.radiation_module import advance_clubb_radiation\u000a gr = setup_grid(ngrdcol=1, deltaz=100.0, zm_init=0.0, zm_top=5000.0)\u000a nzt, nzm = gr.nzt, gr.nzm\u000a zt = np.asarray(gr.zt)[0]\u000a p_zt = (1013e2 * np.exp(-zt / 8000.0))[None, :]\u000a exner = (p_zt / 1.0e5) ** (287.0 / 1004.67)\u000a thlm = np.full((1, nzt), 295.0); rtm = np.full((1, nzt), 5e-3)\u000a rcm = np.zeros((1, nzt)); rcm[:, 5:9] = 2e-4\u000a cloud_frac = np.where(rcm > 0, 1.0, 0.0)\u000a rho_zm = (np.asarray(p_zt) / (287.0 * 290.0))\u000a rho_zm = np.concatenate([rho_zm, rho_zm[:, -1:]], axis=1) # pad to nzm\u000a cfg = dict(rad_scheme=\"bugsrad\", radiation_top=30000.0, sol_const=1321.0, slr=1.0,\u000a alvdr=0.23, alvdf=0.23, alndr=0.23, alndf=0.23,\u000a l_fix_cos_solar_zen=True, cos_solar_zen_values=[0.5])\u000a state = dict(cfg=cfg, gr=gr, ngrdcol=1, nzt=nzt, nzm=nzm, stats_writer=None,\u000a rad_scheme=\"bugsrad\", p_in_Pa=p_zt, exner=exner, thlm=thlm, rtm=rtm, rcm=rcm,\u000a cloud_frac=cloud_frac, ice_supersat_frac=np.zeros((1, nzt)), rho_zm=rho_zm,\u000a radht=np.zeros((1, nzt)))\u000a> advance_clubb_radiation(state, time_current=43200.0) # local noon-ish\u000a ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u000aE TypeError: Error interpreting argument to as an abstract array. The problematic value is of type and was passed to the function at path args[0]['cfg']['rad_scheme'].\u000aE This typically means that a jit-wrapped function was called with a non-array argument, and this argument was not marked as static using the static_argnums or static_argnames parameters of jax.jit.\u000aE --------------------\u000aE For simplicity, JAX has removed its internal frames from the traceback of the following exception. Set JAX_TRACEBACK_FILTERING=off to include these.\u000a\u000aclubb_jax/pytests/auto_llm_generated_pytests/test_bugsrad.py:661: TypeError", "failedSince" : 4, "flakyFailures" : [ ], "name" : "test_bugsrad_radiation_dispatch", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "FAILED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 1, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_bugsrad", "duration" : 5.849, "errorDetails" : "FileNotFoundError: [Errno 2] No such file or directory: '/home/jenkins/workspace/clubb_jax/clubb_release/src/Radiation/BUGSrad/gases_ckd_data.h'\u000a--------------------\u000aFor simplicity, JAX has removed its internal frames from the traceback of the following exception. Set JAX_TRACEBACK_FILTERING=off to include these.", "errorStackTrace" : "def test_bugs_rad_differentiable():\u000a \"\"\"The BUGSrad radiative transfer is DIFFERENTIABLE (a stated project goal): jax.grad of a radiative\u000a loss (TOA outgoing LW + total SW heating) w.r.t. temperature and cloud water is finite AND nonzero\u000a (the radiation responds to its physical inputs). cloudg is now fully float64 (REFACTOR A3).\"\"\"\u000a import jax, jax.numpy as jnp\u000a from clubb_jax.src.Radiation.BUGSrad.bugs_rad import bugs_rad\u000a rng = np.random.default_rng(1); ncol, nlm = 1, 40\u000a pl2 = jnp.asarray(np.cumsum(15.0 + 10.0 * rng.random((ncol, nlm + 1)), axis=1) + 1.0)\u000a dpl = pl2[:, 1:] - pl2[:, :-1]; ppl = 0.5 * (pl2[:, :-1] + pl2[:, 1:])\u000a tl0 = jnp.asarray(220.0 + 70.0 * rng.random((ncol, nlm))); ts = jnp.asarray(290.0 * np.ones(ncol))\u000a ql = jnp.asarray(1e-3 * rng.random((ncol, nlm))); o3 = jnp.asarray(1e-6 * rng.random((ncol, nlm)))\u000a qcwl0 = jnp.asarray(np.where(rng.random((ncol, nlm)) > 0.5, 1e-4, 0.0)); qcil = jnp.zeros((ncol, nlm))\u000a acld = jnp.asarray(np.where(np.asarray(qcwl0) > 0, 1.0, 0.0))\u000a amu0 = jnp.asarray([0.5]); slr = jnp.ones(ncol); alb = jnp.asarray(0.2 * np.ones(ncol))\u000a \u000a def loss(tl, qcwl):\u000a r = bugs_rad(pl2, ppl, dpl, tl, ql, qcwl, qcil, o3, ts, amu0, slr, alb, alb, alb, alb, acld, s0=1367.0)\u000a return jnp.sum(r['fulw'][:, 0]) + jnp.sum(r['asl'])\u000a \u000a> g_t, g_q = jax.grad(loss, argnums=(0, 1))(tl0, qcwl0)\u000a ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u000a\u000aclubb_jax/pytests/auto_llm_generated_pytests/test_bugsrad.py:691: \u000a_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \u000aclubb_jax/pytests/auto_llm_generated_pytests/test_bugsrad.py:688: in loss\u000a r = bugs_rad(pl2, ppl, dpl, tl, ql, qcwl, qcil, o3, ts, amu0, slr, alb, alb, alb, alb, acld, s0=1367.0)\u000a ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u000aclubb_jax/src/Radiation/BUGSrad/bugs_rad.py:62: in bugs_rad\u000a fdlw, fulw, fdlwcl, fulwcl = bugs_lwr(ts, ppl, dpl, tl, rmix, cwrho, cirho, o3mix, pl2,\u000aclubb_jax/src/Radiation/BUGSrad/bugs_lwr.py:77: in bugs_lwr\u000a tg, hk = gases(ib, ig, dp, tt, rmix, o3mix, umco2, umch4, umn2o, pkd, ip1, ip2, pp)\u000a ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u000aclubb_jax/src/Radiation/BUGSrad/gases_ckd.py:108: in gases\u000a T = tables()\u000a ^^^^^^^^\u000aclubb_jax/src/Radiation/BUGSrad/gases_ckd_data.py:102: in tables\u000a _TABLES = load_tables()\u000a ^^^^^^^^^^^^^\u000aclubb_jax/src/Radiation/BUGSrad/gases_ckd_data.py:64: in load_tables\u000a for stmt in _logical_lines(os.path.normpath(_DATA_H)):\u000a ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u000a_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \u000a\u000apath = '/home/jenkins/workspace/clubb_jax/clubb_release/src/Radiation/BUGSrad/gases_ckd_data.h'\u000a\u000a def _logical_lines(path):\u000a \"\"\"Strip comments + #directives, join `&`-continued lines into logical statements.\"\"\"\u000a out, buf = [], ''\u000a> for raw in open(path):\u000a ^^^^^^^^^^\u000aE FileNotFoundError: [Errno 2] No such file or directory: '/home/jenkins/workspace/clubb_jax/clubb_release/src/Radiation/BUGSrad/gases_ckd_data.h'\u000aE --------------------\u000aE For simplicity, JAX has removed its internal frames from the traceback of the following exception. Set JAX_TRACEBACK_FILTERING=off to include these.\u000a\u000aclubb_jax/src/Radiation/BUGSrad/gases_ckd_data.py:39: FileNotFoundError", "failedSince" : 4, "flakyFailures" : [ ], "name" : "test_bugs_rad_differentiable", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "FAILED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_calc_comp_corrs_binormal", "duration" : 0.921, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_f2py_oracle", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_calc_comp_corrs_binormal", "duration" : 1.108, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_round_trip", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_calc_comp_corrs_binormal", "duration" : 0.005, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_bound", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_calc_comp_corrs_binormal", "duration" : 0.665, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_smooth_corr_quotient_f2py", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_calc_comp_corrs_binormal", "duration" : 1.468, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_differentiable", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_calc_comp_mu_sigma_hm", "duration" : 2.15, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_both_precip_preserves_mean_and_variance", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_calc_comp_mu_sigma_hm", "duration" : 0.013, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_rico_params_non_emergency", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_calc_comp_mu_sigma_hm", "duration" : 0.028, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_root_sign_selection", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_calc_comp_mu_sigma_hm", "duration" : 0.014, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_emergency_preserves_mean", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_calc_comp_mu_sigma_hm", "duration" : 0.027, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_single_component_branches", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_calc_comp_mu_sigma_hm", "duration" : 2.053, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_no_precip_and_differentiable", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { 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: null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_orchestration_differentiable", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_calc_corr_norm_cholesky", "duration" : 2.521, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_reconstruction_and_structure", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_calc_corr_norm_cholesky", "duration" : 0.052, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_adjustments_and_selection", "properties" : { }, 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sorted-real mismatch 6.73e-01\u000aassert np.float64(0.6732766293498132) < 1e-08", "errorStackTrace" : "def test_f2py_oracle():\u000a try:\u000a import clubb_f2py\u000a fn = clubb_f2py.f2py_cubic_solve\u000a except ModuleNotFoundError as e:\u000a if (e.name or \"\").split(\".\")[0] not in {\"clubb_f2py\", \"clubb_python\", \"netCDF4\"}:\u000a raise\u000a pytest.skip(f\" f2py cubic_solve oracle: SKIP ({type(e).__name__})\")\u000a # Cases incl. a NEGATIVE-R cubic ([-1.5,0,1.5,-0.75]) where the Cardano args R±sqrt(D) are negative real —\u000a # this is the case that exposed the principal-vs-real cube-root branch bug (iter 71).\u000a cases = [(1.0, -6.0, 11.0, -6.0), (1.0, -4.0, 5.0, -2.0), (1.0, 0.0, 0.0, -1.0),\u000a (-2.0, 0.0, 3.0, 1.5), (-1.5, 0.0, 1.5, -0.75), (1.0, 0.0, -7.0, 6.0)]\u000a a = np.array([x[0] for x in cases]); b = np.array([x[1] for x in cases])\u000a c = np.array([x[2] for x in cases]); d = np.array([x[3] for x in cases])\u000a f = np.asarray(fn(a, b, c, d)) # (2, n, 3): [real, imag]\u000a ref = f[0] + 1j * f[1]\u000a got = np.asarray(cubic_solve(*[jnp.asarray(v) for v in (a, b, c, d)]))\u000a # gfortran's complex **(1/3) branch cut orders the conjugate pair / real root differently than this port\u000a # for D>0; both return the same correct root SET, so compare the sorted real parts (what the consumers use).\u000a err = np.max(np.abs(np.sort(np.real(got), axis=-1) - np.sort(np.real(ref), axis=-1)))\u000a # ~1e-9 near the [1,-4,5,-2] double root (1,1,2) is Cardano's intrinsic ill-conditioning, shared by both\u000a # implementations; the residual check below is the strict correctness guard.\u000a> assert err < 1e-8, f\"f2py cubic sorted-real mismatch {err:.2e}\"\u000aE AssertionError: f2py cubic sorted-real mismatch 6.73e-01\u000aE assert np.float64(0.6732766293498132) < 1e-08\u000a\u000aclubb_jax/pytests/auto_llm_generated_pytests/test_calc_roots.py:117: AssertionError", "failedSince" : 4, "flakyFailures" : [ ], "name" : "test_f2py_oracle", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "FAILED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 1, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_calc_wp3_on_wp2", "duration" : 0.203, "errorDetails" : "ValueError: Non-hashable static arguments are not supported. An error occurred while trying to hash an object of type , [[1.00000000e-07 1.02987828e+00 1.10726481e+00 1.12355285e+00\u000a 1.00000000e-07 1.89830554e+00 2.02300436e+00 9.89957370e-01\u000a 1.00000000e-07 3.69004827e-01 1.55282523e-01 2.55058902e+00\u000a 1.00000000e-07 2.93630481e+00 2.48102638e+00 2.35565436e+00\u000a 1.00000000e-07 6.22397055e-01 2.54961191e+00 1.29754119e+00\u000a 1.00000000e-07 3.66934968e-01 5.59090322e-01 1.49185401e+00\u000a 1.00000000e-07 1.61961763e+00 3.20729548e-01 2.59857162e+00\u000a 1.00000000e-07 1.31902931e+00 1.76058974e+00]\u000a [1.00000000e-07 1.25422069e+00 2.66090478e+00 1.36246169e+00\u000a 1.00000000e-07 2.91147041e+00 8.28021811e-01 2.68438108e+00\u000a 1.00000000e-07 9.36191848e-01 2.64387945e+00 1.96583695e-01\u000a 1.00000000e-07 2.48332008e+00 2.68415505e+00 1.79365827e-01\u000a 1.00000000e-07 2.32548333e+00 1.31060658e+00 1.60389446e-02\u000a 1.00000000e-07 2.39932904e+00 2.92087746e+00 4.52077322e-01\u000a 1.00000000e-07 2.52409764e+00 2.75518190e-01 8.22884278e-01\u000a 1.00000000e-07 1.25508666e+00 1.62824751e+00]]. The error was:\u000aTypeError: unhashable type: 'jaxlib._jax.ArrayImpl'", "errorStackTrace" : "def test_f2py_oracle():\u000a try:\u000a clubb_f2py, jgr, ng, nzm = _setup_f2py_grid()\u000a except ModuleNotFoundError as e:\u000a if (e.name or \"\").split(\".\")[0] not in {\"clubb_f2py\", \"clubb_python\", \"netCDF4\"}:\u000a raise\u000a pytest.skip(f\" f2py calc_wp3_on_wp2 oracle: SKIP ({type(e).__name__})\")\u000a nzt = nzm - 1\u000a zm2zt = lambda a: np.asarray(clubb_f2py.f2py_zm2zt_2d(nzt, a))\u000a zt2zm = lambda a: np.asarray(clubb_f2py.f2py_zt2zm_2d(nzm, a))\u000a rng = np.random.default_rng(6)\u000a wm = wz = 0.0\u000a for _ in range(15):\u000a wp2 = rng.uniform(1e-4, 3.0, (ng, nzm))\u000a wp3 = rng.uniform(-5.0, 5.0, (ng, nzt))\u000a # occasionally force the clip to fire (tiny wp2 → |ratio| > 1000)\u000a if _ % 3 == 0:\u000a wp2[:, ::4] = 1e-7\u000a> jm, jz = calc_wp3_on_wp2(jnp.asarray(wp2), jnp.asarray(wp3), jgr)\u000a ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u000aE ValueError: Non-hashable static arguments are not supported. An error occurred while trying to hash an object of type , [[1.00000000e-07 1.02987828e+00 1.10726481e+00 1.12355285e+00\u000aE 1.00000000e-07 1.89830554e+00 2.02300436e+00 9.89957370e-01\u000aE 1.00000000e-07 3.69004827e-01 1.55282523e-01 2.55058902e+00\u000aE 1.00000000e-07 2.93630481e+00 2.48102638e+00 2.35565436e+00\u000aE 1.00000000e-07 6.22397055e-01 2.54961191e+00 1.29754119e+00\u000aE 1.00000000e-07 3.66934968e-01 5.59090322e-01 1.49185401e+00\u000aE 1.00000000e-07 1.61961763e+00 3.20729548e-01 2.59857162e+00\u000aE 1.00000000e-07 1.31902931e+00 1.76058974e+00]\u000aE [1.00000000e-07 1.25422069e+00 2.66090478e+00 1.36246169e+00\u000aE 1.00000000e-07 2.91147041e+00 8.28021811e-01 2.68438108e+00\u000aE 1.00000000e-07 9.36191848e-01 2.64387945e+00 1.96583695e-01\u000aE 1.00000000e-07 2.48332008e+00 2.68415505e+00 1.79365827e-01\u000aE 1.00000000e-07 2.32548333e+00 1.31060658e+00 1.60389446e-02\u000aE 1.00000000e-07 2.39932904e+00 2.92087746e+00 4.52077322e-01\u000aE 1.00000000e-07 2.52409764e+00 2.75518190e-01 8.22884278e-01\u000aE 1.00000000e-07 1.25508666e+00 1.62824751e+00]]. The error was:\u000aE TypeError: unhashable type: 'jaxlib._jax.ArrayImpl'\u000a\u000aclubb_jax/pytests/auto_llm_generated_pytests/test_calc_wp3_on_wp2.py:72: ValueError", "failedSince" : 4, "flakyFailures" : [ ], "name" : "test_f2py_oracle", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "FAILED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_calc_wp4_pdf", "duration" : 0.304, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_closed_form", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_calc_wp4_pdf", "duration" : 3.923, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_monte_carlo_central_moment", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_calc_wp4_pdf", "duration" : 0.268, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_grad_finite", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_calc_wpxpyp_pdf", "duration" : 0.336, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_closed_form", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_calc_wpxpyp_pdf", "duration" : 2.446, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_monte_carlo", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_calc_wpxpyp_pdf", "duration" : 0.303, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_grad_finite", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 1, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_calc_xprcp_component", "duration" : 0.001, "errorDetails" : "TypeError: calc_xprcp_component() missing 1 required positional argument: 'iiPDF_type'", "errorStackTrace" : "def test_six_covariance_formulas():\u000a k = _KW\u000a> wprcp, wp2rcp, rtprcp, thlprcp, uprcp, vprcp = (float(x) for x in calc_xprcp_component(**k))\u000a ^^^^^^^^^^^^^^^^^^^^^^^^^\u000aE TypeError: calc_xprcp_component() missing 1 required positional argument: 'iiPDF_type'\u000a\u000aclubb_jax/pytests/auto_llm_generated_pytests/test_calc_xprcp_component.py:42: TypeError", "failedSince" : 4, "flakyFailures" : [ ], "name" : "test_six_covariance_formulas", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "FAILED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 1, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_calc_xprcp_component", "duration" : 0.0, "errorDetails" : "TypeError: calc_xprcp_component() missing 1 required positional argument: 'iiPDF_type'", "errorStackTrace" : "def test_cthl_zero_safe():\u000a k = dict(_KW); k['cthl_i'] = 0.0; k['cloud_frac_i'] = 0.0 # rsatl=0 limit, masked by cloud_frac=0\u000a> out = [float(x) for x in calc_xprcp_component(**k)]\u000a ^^^^^^^^^^^^^^^^^^^^^^^^^\u000aE TypeError: calc_xprcp_component() missing 1 required positional argument: 'iiPDF_type'\u000a\u000aclubb_jax/pytests/auto_llm_generated_pytests/test_calc_xprcp_component.py:66: TypeError", "failedSince" : 4, "flakyFailures" : [ ], "name" : "test_cthl_zero_safe", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "FAILED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 1, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_calc_xprcp_component", "duration" : 0.004, "errorDetails" : "TypeError: calc_xprcp_component() missing 1 required positional argument: 'iiPDF_type'\u000a--------------------\u000aFor simplicity, JAX has removed its internal frames from the traceback of the following exception. Set JAX_TRACEBACK_FILTERING=off to include these.", "errorStackTrace" : "def test_grad_finite():\u000a k = dict(_KW)\u000a> g = jax.grad(lambda rc: calc_xprcp_component(**{**k, 'rc_i': rc})[2])(k['rc_i']) # d(rtprcp)/d(rc_i)\u000a ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u000a\u000aclubb_jax/pytests/auto_llm_generated_pytests/test_calc_xprcp_component.py:73: \u000a_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \u000a\u000arc = GradTracer(primal=5e-05, typeof(tangent)=f64[])\u000a\u000a> g = jax.grad(lambda rc: calc_xprcp_component(**{**k, 'rc_i': rc})[2])(k['rc_i']) # d(rtprcp)/d(rc_i)\u000a ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u000aE TypeError: calc_xprcp_component() missing 1 required positional argument: 'iiPDF_type'\u000aE --------------------\u000aE For simplicity, JAX has removed its internal frames from the traceback of the following exception. Set JAX_TRACEBACK_FILTERING=off to include these.\u000a\u000aclubb_jax/pytests/auto_llm_generated_pytests/test_calc_xprcp_component.py:73: TypeError", "failedSince" : 4, "flakyFailures" : [ ], "name" : "test_grad_finite", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "FAILED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_calc_xpthvp_terms", "duration" : 0.783, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_assembly_and_regrid", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_calc_xpthvp_terms", "duration" : 1.382, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_grad_finite", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 1, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_calculate_thvm", "duration" : 0.002, "errorDetails" : "ValueError: Non-hashable static arguments are not supported. An error occurred while trying to hash an object of type , [[283.85710608 294.97833587 298.04495073 280.86067025 284.43778254\u000a 307.84633069 282.11261728 283.89321848]\u000a [308.4498536 298.65650778 291.06979371 295.34170065 299.88528858\u000a 288.25926447 284.13904219 303.64118784]]. The error was:\u000aTypeError: unhashable type: 'numpy.ndarray'", "errorStackTrace" : "def test_f2py_oracle():\u000a try:\u000a import clubb_f2py\u000a except ModuleNotFoundError as e:\u000a if (e.name or \"\").split(\".\")[0] not in {\"clubb_f2py\", \"clubb_python\", \"netCDF4\"}:\u000a raise\u000a pytest.skip(f\" f2py calculate_thvm oracle: SKIP ({type(e).__name__})\")\u000a worst = 0.0\u000a for seed in (11, 22, 33):\u000a thlm, rtm, rcm, exner, thv_ds_zt = _inputs(seed)\u000a ref = np.asarray(clubb_f2py.f2py_calculate_thvm(thlm, rtm, rcm, exner, thv_ds_zt))\u000a> got = np.asarray(calculate_thvm(thlm, rtm, rcm, exner, thv_ds_zt))\u000a ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u000aE ValueError: Non-hashable static arguments are not supported. An error occurred while trying to hash an object of type , [[283.85710608 294.97833587 298.04495073 280.86067025 284.43778254\u000aE 307.84633069 282.11261728 283.89321848]\u000aE [308.4498536 298.65650778 291.06979371 295.34170065 299.88528858\u000aE 288.25926447 284.13904219 303.64118784]]. The error was:\u000aE TypeError: unhashable type: 'numpy.ndarray'\u000a\u000aclubb_jax/pytests/auto_llm_generated_pytests/test_calculate_thvm.py:55: ValueError", "failedSince" : 4, "flakyFailures" : [ ], "name" : "test_f2py_oracle", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "FAILED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 1, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_calculate_thvm", "duration" : 0.001, "errorDetails" : "ValueError: Non-hashable static arguments are not supported. An error occurred while trying to hash an object of type , [[304.15008771 304.23822369 295.45976683 288.5740414 281.61792107\u000a 291.50106642 292.25419616 281.35825582]\u000a [281.46273132 309.97528345 299.57107335 287.03530605 293.04842657\u000a 309.2255858 306.93032824 305.32693113]]. The error was:\u000aTypeError: unhashable type: 'numpy.ndarray'", "errorStackTrace" : "def test_closed_form():\u000a thlm, rtm, rcm, exner, thv_ds_zt = _inputs(5)\u000a> got = np.asarray(calculate_thvm(thlm, rtm, rcm, exner, thv_ds_zt))\u000a ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u000aE ValueError: Non-hashable static arguments are not supported. An error occurred while trying to hash an object of type , [[304.15008771 304.23822369 295.45976683 288.5740414 281.61792107\u000aE 291.50106642 292.25419616 281.35825582]\u000aE [281.46273132 309.97528345 299.57107335 287.03530605 293.04842657\u000aE 309.2255858 306.93032824 305.32693113]]. The error was:\u000aE TypeError: unhashable type: 'numpy.ndarray'\u000a\u000aclubb_jax/pytests/auto_llm_generated_pytests/test_calculate_thvm.py:63: ValueError", "failedSince" : 4, "flakyFailures" : [ ], "name" : "test_closed_form", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "FAILED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 1, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_calculate_thvm", "duration" : 0.071, "errorDetails" : "ValueError: Non-hashable static arguments are not supported. An error occurred while trying to hash an object of type , [[298.752864 306.91641403 303.27057071 286.7562157 289.00498855\u000a 306.20660336 280.15795914 304.63685255]\u000a [303.91208286 294.03804859 289.0909728 288.35276836 287.64608763\u000a 293.35228918 295.13644777 296.60492056]]. The error was:\u000aTypeError: unhashable type: 'numpy.ndarray'\u000a\u000a--------------------\u000aFor simplicity, JAX has removed its internal frames from the traceback of the following exception. Set JAX_TRACEBACK_FILTERING=off to include these.", "errorStackTrace" : "def test_differentiable():\u000a thlm, rtm, rcm, exner, thv_ds_zt = _inputs(7)\u000a def loss(rcm_v):\u000a return jnp.sum(calculate_thvm(thlm, rtm, rcm_v, exner, thv_ds_zt) ** 2)\u000a> g = np.asarray(jax.grad(loss)(jnp.asarray(rcm)))\u000a ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u000a\u000aclubb_jax/pytests/auto_llm_generated_pytests/test_calculate_thvm.py:76: \u000a_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \u000a\u000arcm_v = GradTracer(primal=[[1.17940255e-05 1.92402144e-04 6.92032121e-04 2.00606724e-04\u000a 3.69536311e-04 3.73424205e-06 8.3004....09790810e-04 8.47150246e-04\u000a 6.39717167e-04 7.41770947e-04 9.14956051e-05 5.41143821e-04]], typeof(tangent)=f64[2,8])\u000a\u000a def loss(rcm_v):\u000a> return jnp.sum(calculate_thvm(thlm, rtm, rcm_v, exner, thv_ds_zt) ** 2)\u000a ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u000aE ValueError: Non-hashable static arguments are not supported. An error occurred while trying to hash an object of type , [[298.752864 306.91641403 303.27057071 286.7562157 289.00498855\u000aE 306.20660336 280.15795914 304.63685255]\u000aE [303.91208286 294.03804859 289.0909728 288.35276836 287.64608763\u000aE 293.35228918 295.13644777 296.60492056]]. The error was:\u000aE TypeError: unhashable type: 'numpy.ndarray'\u000aE \u000aE --------------------\u000aE For simplicity, JAX has removed its internal frames from the traceback of the following exception. Set JAX_TRACEBACK_FILTERING=off to include these.\u000a\u000aclubb_jax/pytests/auto_llm_generated_pytests/test_calculate_thvm.py:75: ValueError", "failedSince" : 4, "flakyFailures" : [ ], "name" : "test_differentiable", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "FAILED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 1, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_calculate_w_responder_params", "duration" : 1.515, "errorDetails" : "AssertionError: calculate_w_params f2py mismatch 7.31e+00\u000aassert np.float64(7.308563841211619) < 1e-12", "errorStackTrace" : "def test_f2py_oracle():\u000a try:\u000a import clubb_f2py\u000a except ModuleNotFoundError as e:\u000a if (e.name or \"\").split(\".\")[0] not in {\"clubb_f2py\", \"clubb_python\", \"netCDF4\"}:\u000a raise\u000a pytest.skip(f\" f2py calculate_w/responder_params oracle: SKIP ({type(e).__name__})\")\u000a rng = np.random.default_rng(13)\u000a worst_w = worst_r = 0.0\u000a for _ in range(4):\u000a sh = (NG, NZ)\u000a wm = rng.uniform(-1, 1, sh); wp2 = rng.uniform(0.05, 2, sh)\u000a Skw = rng.uniform(-2, 2, sh)\u000a F_w = rng.uniform(0.05, 0.95, sh); zeta_w = rng.uniform(0.0, 3.0, sh)\u000a \u000a fw = clubb_f2py.f2py_calculate_w_params(wm, wp2, Skw, F_w, zeta_w)\u000a gw = calculate_w_params(wm, wp2, Skw, F_w, zeta_w)\u000a for fi, gi in zip(fw, gw):\u000a worst_w = max(worst_w, np.max(np.abs(np.asarray(gi) - np.asarray(fi))))\u000a \u000a # Responder: use the setter's mixt_frac, a nonzero covariance, and a responder variable.\u000a mixt_frac = np.asarray(fw[4])\u000a xm = rng.uniform(285, 305, sh); xp2 = rng.uniform(0.05, 1, sh)\u000a Skx = rng.uniform(-2, 2, sh); wpxp = rng.uniform(-0.5, 0.5, sh)\u000a fr = clubb_f2py.f2py_calculate_responder_params(xm, xp2, Skx, wpxp, wp2, F_w, mixt_frac)\u000a gr = calculate_responder_params(xm, xp2, Skx, wpxp, wp2, F_w, mixt_frac)\u000a for fi, gi in zip(fr, gr):\u000a worst_r = max(worst_r, np.max(np.abs(np.asarray(gi) - np.asarray(fi))))\u000a> assert worst_w < 1e-12, f\"calculate_w_params f2py mismatch {worst_w:.2e}\"\u000aE AssertionError: calculate_w_params f2py mismatch 7.31e+00\u000aE assert np.float64(7.308563841211619) < 1e-12\u000a\u000aclubb_jax/pytests/auto_llm_generated_pytests/test_calculate_w_responder_params.py:60: AssertionError", "failedSince" : 4, "flakyFailures" : [ ], "name" : "test_f2py_oracle", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "FAILED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_calculate_w_responder_params", "duration" : 0.004, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_responder_zero_cov_gaussian", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_calculate_w_responder_params", "duration" : 2.003, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_differentiable", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_calendar", "duration" : 0.573, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_jdn_anchors_and_roundtrip", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_calendar", "duration" : 0.761, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_compute_current_date_api_matches_reference", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_calendar", "duration" : 0.526, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_gregorian2julian_day", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_calendar", "duration" : 0.297, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_f2py_oracle", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_cholesky_corr_mtx_approx", "duration" : 5.603, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_f2py_oracle", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_cholesky_corr_mtx_approx", "duration" : 0.042, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_reconstruction", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_cholesky_corr_mtx_approx", "duration" : 3.143, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_differentiable", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_cholesky_factor", "duration" : 3.385, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_reconstruction", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_cholesky_factor", "duration" : 0.859, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_f2py_oracle", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_cholesky_factor", "duration" : 1.519, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_non_pd_fallback", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_cholesky_factor", "duration" : 2.134, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_differentiable", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_clip_covar", "duration" : 0.19, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_f2py_oracle", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_clip_covar", "duration" : 0.39, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_clip_covars_denom_f2py", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_clip_covar", "duration" : 0.002, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_realizability", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_clip_covar", "duration" : 0.474, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_differentiable", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 1, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_clip_skewness", "duration" : 0.206, "errorDetails" : "ValueError: Non-hashable static arguments are not supported. An error occurred while trying to hash an object of type , [[-1.09037342e+01 1.01028979e-01 -1.87254490e+01 3.02883406e-01\u000a 5.86407281e-01 2.27365704e+00 -1.35075253e+01 5.65041352e-01\u000a -4.80154497e+00 -1.29496344e-02 -6.40626569e+00 2.08277752e+00\u000a 9.16194160e-01 3.75137369e+00 -1.93030128e+01 -2.97701648e+00\u000a -1.84998448e+01 -4.74273551e+00 -7.58656305e-02 -8.53612174e+00\u000a 4.55882694e+00 -5.24979872e-01 8.25667341e-03 2.69321299e-01\u000a 7.17671160e+00 1.44870802e+00 -6.75406478e+00 -1.50397145e+01\u000a 1.94439847e+00 -9.62630972e-01 4.50866980e+00 2.52388646e-01\u000a -4.96706389e+00 4.94164953e+00 -2.19590136e+00 -8.75542652e+00\u000a -3.37330799e+00]\u000a [-2.16745622e+00 6.30271798e+00 1.62730784e+00 8.52814015e+00\u000a 4.06005116e+00 -2.15736186e+00 -3.15265138e+00 1.89074950e-02\u000a 1.51065893e+00 -7.28524120e-01 2.16375278e+00 1.31793907e+01\u000a -1.80028112e+00 7.23342637e+00 7.27825508e-02 1.00696651e+00\u000a 2.38759728e+00 -5.13366391e-01 -2.79264621e+00 4.40369482e+00\u000a 4.67499096e+00 1.44736479e+01 -1.95571243e+00 2.22153529e+00\u000a 1.14729853e+01 -1.70729923e+01 3.44050497e+00 -3.47531936e+00\u000a 1.45604642e+01 -5.47048677e-01 5.44986212e+00 -1.00011428e+01\u000a 1.41238389e+00 1.90486796e+00 7.16131038e-01 6.57402152e+00\u000a 7.59694400e+00]]. The error was:\u000aTypeError: unhashable type: 'numpy.ndarray'", "errorStackTrace" : "def test_f2py_oracle():\u000a try:\u000a import clubb_f2py\u000a from clubb_python import clubb_api\u000a from clubb_python.derived_types.err_info import ErrInfo\u000a except ModuleNotFoundError as e:\u000a if (e.name or \"\").split(\".\")[0] not in {\"clubb_f2py\", \"clubb_python\", \"netCDF4\"}:\u000a raise\u000a pytest.skip(f\" f2py clip_skewness oracle: SKIP ({type(e).__name__})\")\u000a jgr = setup_grid(ngrdcol=_NG, deltaz=_DZ, zm_init=0.0, zm_top=_ZTOP, grid_type=1)\u000a ng, nzm = jgr.zm.shape\u000a nzt = nzm - 1\u000a clubb_api.init_err_info(ng)\u000a cf = clubb_api.get_default_config_flags(); clubb_api.init_config_flags(cf)\u000a clubb_api.setup_grid(nzmax=nzm, ngrdcol=ng, sfc_elevation=np.zeros(ng),\u000a l_implemented=False, l_ascending_grid=True, grid_type=2,\u000a deltaz=np.full(ng, _DZ), zm_init=np.zeros(ng), zm_top=np.full(ng, float(jgr.zm[0, -1])),\u000a momentum_heights=np.asfortranarray(np.asarray(jgr.zm)),\u000a thermodynamic_heights=np.asfortranarray(np.asarray(jgr.zt)),\u000a err_info=ErrInfo(ngrdcol=ng))\u000a rng = np.random.default_rng(4)\u000a zt = np.asarray(jgr.zt)\u000a sfc_elevation = np.zeros(ng)\u000a skw_max = np.full(ng, _SKW_MAX)\u000a wp2_zt = rng.uniform(0.05, 2.0, (ng, nzt))\u000a # wp3 large enough at many levels to trigger the skewness clip.\u000a wp3 = rng.uniform(-8.0, 8.0, (ng, nzt)) * wp2_zt ** 1.5\u000a worst = 0.0\u000a for l_smth in (True, False):\u000a ref = np.asarray(clubb_f2py.f2py_clip_skewness(\u000a 60.0, sfc_elevation, skw_max, np.asfortranarray(wp2_zt), l_smth, np.asfortranarray(wp3.copy())))\u000a> got = np.asarray(clip_skewness_core(wp3, wp2_zt, zt, sfc_elevation, skw_max, l_smth))\u000a ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u000aE ValueError: Non-hashable static arguments are not supported. An error occurred while trying to hash an object of type , [[-1.09037342e+01 1.01028979e-01 -1.87254490e+01 3.02883406e-01\u000aE 5.86407281e-01 2.27365704e+00 -1.35075253e+01 5.65041352e-01\u000aE -4.80154497e+00 -1.29496344e-02 -6.40626569e+00 2.08277752e+00\u000aE 9.16194160e-01 3.75137369e+00 -1.93030128e+01 -2.97701648e+00\u000aE -1.84998448e+01 -4.74273551e+00 -7.58656305e-02 -8.53612174e+00\u000aE 4.55882694e+00 -5.24979872e-01 8.25667341e-03 2.69321299e-01\u000aE 7.17671160e+00 1.44870802e+00 -6.75406478e+00 -1.50397145e+01\u000aE 1.94439847e+00 -9.62630972e-01 4.50866980e+00 2.52388646e-01\u000aE -4.96706389e+00 4.94164953e+00 -2.19590136e+00 -8.75542652e+00\u000aE -3.37330799e+00]\u000aE [-2.16745622e+00 6.30271798e+00 1.62730784e+00 8.52814015e+00\u000aE 4.06005116e+00 -2.15736186e+00 -3.15265138e+00 1.89074950e-02\u000aE 1.51065893e+00 -7.28524120e-01 2.16375278e+00 1.31793907e+01\u000aE -1.80028112e+00 7.23342637e+00 7.27825508e-02 1.00696651e+00\u000aE 2.38759728e+00 -5.13366391e-01 -2.79264621e+00 4.40369482e+00\u000aE 4.67499096e+00 1.44736479e+01 -1.95571243e+00 2.22153529e+00\u000aE 1.14729853e+01 -1.70729923e+01 3.44050497e+00 -3.47531936e+00\u000aE 1.45604642e+01 -5.47048677e-01 5.44986212e+00 -1.00011428e+01\u000aE 1.41238389e+00 1.90486796e+00 7.16131038e-01 6.57402152e+00\u000aE 7.59694400e+00]]. The error was:\u000aE TypeError: unhashable type: 'numpy.ndarray'\u000a\u000aclubb_jax/pytests/auto_llm_generated_pytests/test_clip_skewness.py:68: ValueError", "failedSince" : 4, "flakyFailures" : [ ], "name" : "test_f2py_oracle", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "FAILED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 1, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_clip_skewness", "duration" : 0.003, "errorDetails" : "ValueError: Non-hashable static arguments are not supported. An error occurred while trying to hash an object of type , [[ -1.94911252 0.27473437 -3.45876419 0.85180364 -8.28394316\u000a 6.69079985 8.5064924 4.89674194 8.80066671 -1.35903604\u000a 0.31690971 11.07791434 0.23805576 -0.36552982 -0.83274419\u000a 0.99023125 -0.46216295 2.53957869 17.49653128 -3.3559234\u000a 10.74841935 -0.89442824 -2.03271238 3.96819695 9.7030458\u000a -5.73831843 1.21133062 -3.70044391 -1.10993906 -2.88643504\u000a -8.29687983 2.58204724 -2.90504615 7.37709286 -0.5910096\u000a -7.15586172 3.78341072]\u000a [ 3.68774519 -12.17739732 5.17247798 -3.524426 2.89044913\u000a -0.55534366 18.31825707 1.72347778 14.36255816 0.32761269\u000a -0.33911837 -7.58645624 5.33973779 0.22518609 7.65726885\u000a 10.1196649 -19.96406763 -1.07922932 0.38416512 -14.92742176\u000a 0.20759829 3.50293677 -2.19470786 2.57844755 -5.73842907\u000a 10.98618018 9.39537493 7.84646377 -1.28579295 -0.85993353\u000a -6.2092601 15.46902334 15.96274788 1.81991143 4.96885912\u000a -10.08636937 6.06079618]]. The error was:\u000aTypeError: unhashable type: 'numpy.ndarray'", "errorStackTrace" : "def test_skewness_limit():\u000a jgr = setup_grid(ngrdcol=_NG, deltaz=_DZ, zm_init=0.0, zm_top=_ZTOP, grid_type=1)\u000a nzt = jgr.zm.shape[1] - 1\u000a zt = np.asarray(jgr.zt)\u000a rng = np.random.default_rng(6)\u000a wp2_zt = rng.uniform(0.1, 2.0, (_NG, nzt))\u000a wp3 = rng.uniform(-8.0, 8.0, (_NG, nzt)) * wp2_zt ** 1.5\u000a> got = np.asarray(clip_skewness_core(wp3, wp2_zt, zt, np.zeros(_NG), np.full(_NG, _SKW_MAX), True))\u000a ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u000aE ValueError: Non-hashable static arguments are not supported. An error occurred while trying to hash an object of type , [[ -1.94911252 0.27473437 -3.45876419 0.85180364 -8.28394316\u000aE 6.69079985 8.5064924 4.89674194 8.80066671 -1.35903604\u000aE 0.31690971 11.07791434 0.23805576 -0.36552982 -0.83274419\u000aE 0.99023125 -0.46216295 2.53957869 17.49653128 -3.3559234\u000aE 10.74841935 -0.89442824 -2.03271238 3.96819695 9.7030458\u000aE -5.73831843 1.21133062 -3.70044391 -1.10993906 -2.88643504\u000aE -8.29687983 2.58204724 -2.90504615 7.37709286 -0.5910096\u000aE -7.15586172 3.78341072]\u000aE [ 3.68774519 -12.17739732 5.17247798 -3.524426 2.89044913\u000aE -0.55534366 18.31825707 1.72347778 14.36255816 0.32761269\u000aE -0.33911837 -7.58645624 5.33973779 0.22518609 7.65726885\u000aE 10.1196649 -19.96406763 -1.07922932 0.38416512 -14.92742176\u000aE 0.20759829 3.50293677 -2.19470786 2.57844755 -5.73842907\u000aE 10.98618018 9.39537493 7.84646377 -1.28579295 -0.85993353\u000aE -6.2092601 15.46902334 15.96274788 1.81991143 4.96885912\u000aE -10.08636937 6.06079618]]. The error was:\u000aE TypeError: unhashable type: 'numpy.ndarray'\u000a\u000aclubb_jax/pytests/auto_llm_generated_pytests/test_clip_skewness.py:83: ValueError", "failedSince" : 4, "flakyFailures" : [ ], "name" : "test_skewness_limit", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "FAILED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 1, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_clip_skewness", "duration" : 0.073, "errorDetails" : "ValueError: Non-hashable static arguments are not supported. An error occurred while trying to hash an object of type , GradTracer(primal=[[-2.38387866 -2.01508857 3.14225741 -4.08084058 1.00100526 2.28560527\u000a -3.12098927 -4.44853373 -2.25030632 1.57433015 0.62265663 -3.49937737\u000a -0.67369209 1.69297299 -0.77215327 1.33184399 4.67435952 1.83064822\u000a -1.08375167 -3.1274743 -1.54039334 0.11065974 3.9120941 2.75563942\u000a -1.81853399 4.24216897 -0.29090115 1.93758842 -3.92792692 -3.95456442\u000a -2.98092552 3.84449674 1.79811461 3.49236324 1.44436269 -0.93457602\u000a 0.16578194]], typeof(tangent)=f64[1,37]). The error was:\u000aTypeError: unhashable type: 'LinearizeTracer'\u000a\u000a--------------------\u000aFor simplicity, JAX has removed its internal frames from the traceback of the following exception. Set JAX_TRACEBACK_FILTERING=off to include these.", "errorStackTrace" : "def test_differentiable():\u000a jgr = setup_grid(ngrdcol=1, deltaz=_DZ, zm_init=0.0, zm_top=_ZTOP, grid_type=1)\u000a nzt = jgr.zm.shape[1] - 1\u000a zt = np.asarray(jgr.zt)[:1]\u000a wp2_zt = np.random.default_rng(1).uniform(0.1, 2.0, (1, nzt))\u000a def loss(wp3):\u000a return jnp.sum(clip_skewness_core(wp3, wp2_zt, zt, np.zeros(1), np.full(1, _SKW_MAX), True) ** 2)\u000a> g = np.asarray(jax.grad(loss)(jnp.asarray(np.random.default_rng(2).uniform(-5, 5, (1, nzt)))))\u000a ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u000a\u000aclubb_jax/pytests/auto_llm_generated_pytests/test_clip_skewness.py:98: \u000a_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \u000a\u000awp3 = GradTracer(primal=[[-2.38387866 -2.01508857 3.14225741 -4.08084058 1.00100526 2.28560527\u000a -3.12098927 -4.44853373 ...2\u000a -2.98092552 3.84449674 1.79811461 3.49236324 1.44436269 -0.93457602\u000a 0.16578194]], typeof(tangent)=f64[1,37])\u000a\u000a def loss(wp3):\u000a> return jnp.sum(clip_skewness_core(wp3, wp2_zt, zt, np.zeros(1), np.full(1, _SKW_MAX), True) ** 2)\u000a ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u000aE ValueError: Non-hashable static arguments are not supported. An error occurred while trying to hash an object of type , GradTracer(primal=[[-2.38387866 -2.01508857 3.14225741 -4.08084058 1.00100526 2.28560527\u000aE -3.12098927 -4.44853373 -2.25030632 1.57433015 0.62265663 -3.49937737\u000aE -0.67369209 1.69297299 -0.77215327 1.33184399 4.67435952 1.83064822\u000aE -1.08375167 -3.1274743 -1.54039334 0.11065974 3.9120941 2.75563942\u000aE -1.81853399 4.24216897 -0.29090115 1.93758842 -3.92792692 -3.95456442\u000aE -2.98092552 3.84449674 1.79811461 3.49236324 1.44436269 -0.93457602\u000aE 0.16578194]], typeof(tangent)=f64[1,37]). The error was:\u000aE TypeError: unhashable type: 'LinearizeTracer'\u000aE \u000aE --------------------\u000aE For simplicity, JAX has removed its internal frames from the traceback of the following exception. Set JAX_TRACEBACK_FILTERING=off to include these.\u000a\u000aclubb_jax/pytests/auto_llm_generated_pytests/test_clip_skewness.py:97: ValueError", "failedSince" : 4, "flakyFailures" : [ ], "name" : "test_differentiable", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "FAILED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 1, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_clip_variance", "duration" : 0.185, "errorDetails" : "TypeError: clip_variance() missing 6 required positional arguments: 'gr', 'solve_type', 'dt', 'threshold_lo', 'stats', and 'xp2'", "errorStackTrace" : "def test_f2py_oracle():\u000a try:\u000a import clubb_f2py\u000a from clubb_python import clubb_api\u000a from clubb_python.derived_types.err_info import ErrInfo\u000a except ModuleNotFoundError as e:\u000a if (e.name or \"\").split(\".\")[0] not in {\"clubb_f2py\", \"clubb_python\", \"netCDF4\"}:\u000a raise\u000a pytest.skip(f\" f2py clip_variance oracle: SKIP ({type(e).__name__})\")\u000a jgr = setup_grid(ngrdcol=_NG, deltaz=_DZ, zm_init=0.0, zm_top=_ZTOP, grid_type=1)\u000a ng, nzm = jgr.zm.shape\u000a clubb_api.init_err_info(ng)\u000a cf = clubb_api.get_default_config_flags(); clubb_api.init_config_flags(cf)\u000a clubb_api.setup_grid(nzmax=nzm, ngrdcol=ng, sfc_elevation=np.zeros(ng),\u000a l_implemented=False, l_ascending_grid=True, grid_type=2,\u000a deltaz=np.full(ng, _DZ), zm_init=np.zeros(ng), zm_top=np.full(ng, float(jgr.zm[0, -1])),\u000a momentum_heights=np.asfortranarray(np.asarray(jgr.zm)),\u000a thermodynamic_heights=np.asfortranarray(np.asarray(jgr.zt)),\u000a err_info=ErrInfo(ngrdcol=ng))\u000a rng = np.random.default_rng(4)\u000a # xp2 with many sub-threshold (incl. negative) values to exercise the floor.\u000a xp2 = rng.uniform(-0.5, 2.0, (ng, nzm))\u000a threshold_lo = np.full((ng, nzm), 1e-3)\u000a ref = np.asarray(clubb_f2py.f2py_clip_variance(CLIP_RTP2, 60.0, threshold_lo, np.asfortranarray(xp2.copy())))\u000a> got = np.asarray(clip_variance(xp2, threshold_lo))\u000a ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u000aE TypeError: clip_variance() missing 6 required positional arguments: 'gr', 'solve_type', 'dt', 'threshold_lo', 'stats', and 'xp2'\u000a\u000aclubb_jax/pytests/auto_llm_generated_pytests/test_clip_variance.py:60: TypeError", "failedSince" : 4, "flakyFailures" : [ ], "name" : "test_f2py_oracle", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "FAILED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 1, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_clip_variance", "duration" : 0.0, "errorDetails" : "TypeError: clip_variance() missing 6 required positional arguments: 'gr', 'solve_type', 'dt', 'threshold_lo', 'stats', and 'xp2'", "errorStackTrace" : "def test_floor_and_boundary():\u000a nzm = 9\u000a xp2 = np.array([[-0.1, 0.5, 1e-4, 2.0, 0.0, 1.0, -0.2, 0.3, 5.0]])\u000a thr = np.full((1, nzm), 1e-3)\u000a> got = np.asarray(clip_variance(xp2, thr))\u000a ^^^^^^^^^^^^^^^^^^^^^^^\u000aE TypeError: clip_variance() missing 6 required positional arguments: 'gr', 'solve_type', 'dt', 'threshold_lo', 'stats', and 'xp2'\u000a\u000aclubb_jax/pytests/auto_llm_generated_pytests/test_clip_variance.py:70: TypeError", "failedSince" : 4, "flakyFailures" : [ ], "name" : "test_floor_and_boundary", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "FAILED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 1, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_clip_variance", "duration" : 0.069, "errorDetails" : "TypeError: clip_variance() missing 6 required positional arguments: 'gr', 'solve_type', 'dt', 'threshold_lo', 'stats', and 'xp2'\u000a--------------------\u000aFor simplicity, JAX has removed its internal frames from the traceback of the following exception. Set JAX_TRACEBACK_FILTERING=off to include these.", "errorStackTrace" : "def test_differentiable():\u000a xp2 = jnp.asarray(np.random.default_rng(1).uniform(-0.5, 2.0, (2, 8)))\u000a thr = jnp.full((2, 8), 1e-3)\u000a> g = np.asarray(jax.grad(lambda x: jnp.sum(clip_variance(x, thr) ** 2))(xp2))\u000a ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u000a\u000aclubb_jax/pytests/auto_llm_generated_pytests/test_clip_variance.py:81: \u000a_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \u000a\u000ax = GradTracer(primal=[[ 0.77955406 1.87615924 -0.13960097 1.87162362 0.27957863 0.55831612\u000a 1.56925648 0.52299784]...8422 -0.43110222 1.38378277 0.84535828 0.32432929 1.47107176\u000a 0.25798707 0.63374472]], typeof(tangent)=f64[2,8])\u000a\u000a> g = np.asarray(jax.grad(lambda x: jnp.sum(clip_variance(x, thr) ** 2))(xp2))\u000a ^^^^^^^^^^^^^^^^^^^^^\u000aE TypeError: clip_variance() missing 6 required positional arguments: 'gr', 'solve_type', 'dt', 'threshold_lo', 'stats', and 'xp2'\u000aE --------------------\u000aE For simplicity, JAX has removed its internal frames from the traceback of the following exception. Set JAX_TRACEBACK_FILTERING=off to include these.\u000a\u000aclubb_jax/pytests/auto_llm_generated_pytests/test_clip_variance.py:81: TypeError", "failedSince" : 4, "flakyFailures" : [ ], "name" : "test_differentiable", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "FAILED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 1, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_clip_variance", "duration" : 0.017, "errorDetails" : "ValueError: Non-hashable static arguments are not supported. An error occurred while trying to hash an object of type , [[-0.06664883 0.00070224 -0.06749149 -0.01956801 -0.01127056 -0.06010935\u000a -0.05533605 -0.06197961 -0.08909073 -0.05114552]\u000a [-0.07538208 -0.07377118 -0.08115738 -0.08022582 -0.01698958 -0.05685561\u000a -0.07389611 -0.03972791 -0.03836423 -0.03402048]]. The error was:\u000aTypeError: unhashable type: 'jaxlib._jax.ArrayImpl'", "errorStackTrace" : "def test_clip_rcm_f2py():\u000a \"\"\"clip_rcm (clip_explicit.F90:clip_rcm — ensure rcm <= rtm, clipping to max(zero_threshold, rtm-eps)) vs the\u000a Fortran oracle. Previously untested. SKIPs if clubb_f2py is unbuilt. (iter 415)\"\"\"\u000a try:\u000a import clubb_f2py\u000a except ModuleNotFoundError as e:\u000a if (e.name or \"\").split(\".\")[0] not in {\"clubb_f2py\", \"clubb_python\", \"netCDF4\"}:\u000a raise\u000a pytest.skip(f\" f2py clip_rcm oracle: SKIP ({type(e).__name__})\")\u000a rng = np.random.default_rng(8)\u000a worst = 0.0\u000a for _ in range(20):\u000a ng, nzt = 2, 10\u000a rcm = rng.uniform(-0.1, 2e-3, (ng, nzt)); rtm = rng.uniform(0.0, 2e-3, (ng, nzt))\u000a> cj = np.asarray(clip_rcm(jnp.asarray(rcm), jnp.asarray(rtm)))\u000a ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u000aE ValueError: Non-hashable static arguments are not supported. An error occurred while trying to hash an object of type , [[-0.06664883 0.00070224 -0.06749149 -0.01956801 -0.01127056 -0.06010935\u000aE -0.05533605 -0.06197961 -0.08909073 -0.05114552]\u000aE [-0.07538208 -0.07377118 -0.08115738 -0.08022582 -0.01698958 -0.05685561\u000aE -0.07389611 -0.03972791 -0.03836423 -0.03402048]]. The error was:\u000aE TypeError: unhashable type: 'jaxlib._jax.ArrayImpl'\u000a\u000aclubb_jax/pytests/auto_llm_generated_pytests/test_clip_variance.py:100: ValueError", "failedSince" : 4, "flakyFailures" : [ ], "name" : "test_clip_rcm_f2py", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "FAILED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_cloud_correlate", "duration" : 17.309, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_vs_literal_loop", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_cloud_correlate", "duration" : 0.027, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_random_limit_bounds_monotonic", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_cloud_correlate", "duration" : 0.015, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_edge_branches", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_cloud_correlate", "duration" : 0.29, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_cloudfit_vs_literal_loop", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_cloud_correlate", "duration" : 1.179, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_cloudfit_reconstruction_invariant", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_cloud_correlate", "duration" : 1.411, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_differentiable_core", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_cloud_drop_sed", "duration" : 2.401, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_f2py_oracle", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_cloud_feedback_sfclyr", "duration" : 2.302, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_vs_literal", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_cloud_feedback_sfclyr", "duration" : 0.935, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_physical_invariants", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_cloud_feedback_sfclyr", "duration" : 1.213, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_differentiable", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_cobra_sfclyr", "duration" : 1.328, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_cobra_assigns_co2_heat_and_moisture_scalar_fluxes", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 1, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_coefs_semiimpl", "duration" : 0.001, "errorDetails" : "ValueError: too many axes: 2 (effrank=2), expected rank=1", "errorStackTrace" : "def test_f2py_oracle():\u000a try:\u000a import clubb_f2py\u000a except ModuleNotFoundError as e:\u000a if (e.name or \"\").split(\".\")[0] not in {\"clubb_f2py\", \"clubb_python\", \"netCDF4\"}:\u000a raise\u000a pytest.skip(f\" f2py calc_coefs_wp2xp_semiimpl oracle: SKIP ({type(e).__name__})\")\u000a rng = np.random.default_rng(4)\u000a worst = 0.0\u000a n_red = 0\u000a for trial in range(20):\u000a wp2 = rng.uniform(0.05, 2.0, (NG, NZ)); xp2 = rng.uniform(0.05, 2.0, (NG, NZ))\u000a sgn = np.sign(rng.uniform(-1, 1, (NG, NZ))); sgn[sgn == 0] = 1.0\u000a mf = rng.uniform(0.1, 0.9, (NG, NZ)); F_w = rng.uniform(0.05, 1.0, (NG, NZ)); F_x = rng.uniform(0.05, 1.0, (NG, NZ))\u000a cw1 = rng.uniform(0.1, 2.0, (NG, NZ)); cw2 = rng.uniform(0.1, 2.0, (NG, NZ))\u000a cx1 = rng.uniform(0.1, 2.0, (NG, NZ)); cx2 = rng.uniform(0.1, 2.0, (NG, NZ))\u000a if trial % 4 == 0: # reduced branch (zero sigma products)\u000a cw1 = np.zeros((NG, NZ)); cw2 = np.zeros((NG, NZ)); n_red += 1\u000a> fc, ft = clubb_f2py.f2py_calc_coefs_wp2xp_semiimpl(wp2, xp2, sgn, mf, F_w, F_x, cw1, cw2, cx1, cx2)\u000a ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u000aE ValueError: too many axes: 2 (effrank=2), expected rank=1\u000a\u000aclubb_jax/pytests/auto_llm_generated_pytests/test_coefs_semiimpl.py:51: ValueError", "failedSince" : 4, "flakyFailures" : [ ], "name" : "test_f2py_oracle", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "FAILED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 1, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_coefs_semiimpl", "duration" : 0.706, "errorDetails" : "AssertionError: calc_coefs_wpxp2_semiimpl f2py mismatch 2.32e+01\u000aassert np.float64(23.21359948303605) < 1e-11", "errorStackTrace" : "def test_wpxp2_f2py():\u000a try:\u000a import clubb_f2py\u000a except ModuleNotFoundError as e:\u000a if (e.name or \"\").split(\".\")[0] not in {\"clubb_f2py\", \"clubb_python\", \"netCDF4\"}:\u000a raise\u000a pytest.skip(f\" f2py calc_coefs_wpxp2_semiimpl oracle: SKIP ({type(e).__name__})\")\u000a rng = np.random.default_rng(5)\u000a worst = 0.0; n_zero = 0\u000a for trial in range(20):\u000a wp2 = rng.uniform(0.05, 2.0, (NG, NZ)); wpxp = rng.uniform(-1, 1, (NG, NZ))\u000a mf = rng.uniform(0.1, 0.9, (NG, NZ)); F_w = rng.uniform(0.05, 1.0, (NG, NZ))\u000a cx1 = rng.uniform(0.1, 2.0, (NG, NZ)); cx2 = rng.uniform(0.1, 2.0, (NG, NZ))\u000a if trial % 4 == 0:\u000a F_w = np.zeros((NG, NZ)); n_zero += 1 # F_w=0 -> 0,0 branch\u000a fc, ft = clubb_f2py.f2py_calc_coefs_wpxp2_semiimpl(wp2, wpxp, mf, F_w, cx1, cx2)\u000a gc, gt = calc_coefs_wpxp2_semiimpl(wp2, wpxp, mf, F_w, cx1, cx2)\u000a worst = max(worst, np.max(np.abs(np.asarray(gc) - np.asarray(fc))),\u000a np.max(np.abs(np.asarray(gt) - np.asarray(ft))))\u000a> assert worst < 1e-11, f\"calc_coefs_wpxp2_semiimpl f2py mismatch {worst:.2e}\"\u000aE AssertionError: calc_coefs_wpxp2_semiimpl f2py mismatch 2.32e+01\u000aE assert np.float64(23.21359948303605) < 1e-11\u000a\u000aclubb_jax/pytests/auto_llm_generated_pytests/test_coefs_semiimpl.py:79: AssertionError", "failedSince" : 4, "flakyFailures" : [ ], "name" : "test_wpxp2_f2py", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "FAILED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 1, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_coefs_semiimpl", "duration" : 0.001, "errorDetails" : "ValueError: too many axes: 2 (effrank=2), expected rank=1", "errorStackTrace" : "def test_wpxpyp_f2py():\u000a try:\u000a import clubb_f2py\u000a except ModuleNotFoundError as e:\u000a if (e.name or \"\").split(\".\")[0] not in {\"clubb_f2py\", \"clubb_python\", \"netCDF4\"}:\u000a raise\u000a pytest.skip(f\" f2py calc_coefs_wpxpyp_semiimpl oracle: SKIP ({type(e).__name__})\")\u000a rng = np.random.default_rng(6)\u000a worst = 0.0; n_red = 0\u000a for trial in range(20):\u000a sh = (NG, NZ)\u000a wp2 = rng.uniform(0.05, 2.0, sh); xp2 = rng.uniform(0.05, 2.0, sh); yp2 = rng.uniform(0.05, 2.0, sh)\u000a wpxp = rng.uniform(-1, 1, sh); wpyp = rng.uniform(-1, 1, sh)\u000a sx = np.sign(wpxp); sx[sx == 0] = 1.0; sy = np.sign(wpyp); sy[sy == 0] = 1.0\u000a mf = rng.uniform(0.1, 0.9, sh); F_w = rng.uniform(0.05, 1.0, sh); F_x = rng.uniform(0.05, 1.0, sh); F_y = rng.uniform(0.05, 1.0, sh)\u000a cw1 = rng.uniform(0.1, 2, sh); cw2 = rng.uniform(0.1, 2, sh)\u000a cx1 = rng.uniform(0.1, 2, sh); cx2 = rng.uniform(0.1, 2, sh)\u000a cy1 = rng.uniform(0.1, 2, sh); cy2 = rng.uniform(0.1, 2, sh)\u000a if trial % 4 == 0:\u000a cx1 = np.zeros(sh); cx2 = np.zeros(sh); n_red += 1 # reduced branch\u000a args = (wp2, xp2, yp2, wpxp, wpyp, sx, sy, mf, F_w, F_x, F_y, cw1, cw2, cx1, cx2, cy1, cy2)\u000a> fc, ft = clubb_f2py.f2py_calc_coefs_wpxpyp_semiimpl(*args)\u000a ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u000aE ValueError: too many axes: 2 (effrank=2), expected rank=1\u000a\u000aclubb_jax/pytests/auto_llm_generated_pytests/test_coefs_semiimpl.py:105: ValueError", "failedSince" : 4, "flakyFailures" : [ ], "name" : "test_wpxpyp_f2py", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "FAILED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_coefs_semiimpl", "duration" : 2.197, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_differentiable", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_comp_corr_norm", "duration" : 1.887, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_structure", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_comp_corr_norm", "duration" : 0.04, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_assembly_rules", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_comp_corr_norm", "duration" : 0.036, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_adg_zeros_w_corr", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_comp_corr_norm", "duration" : 0.03, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_no_w_corr_uses_prescribed", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_comp_corr_norm", "duration" : 2.222, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_differentiable", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_component_corr_ip", "duration" : 0.139, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_x_hm", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_component_corr_ip", "duration" : 0.001, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_hmx_hmy", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_component_corr_ip", "duration" : 0.001, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_w_hm_both_branches", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_component_corr_ip", "duration" : 0.273, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_eta_product_and_grad", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_component_corr_ip", "duration" : 0.045, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_w_x", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_component_corr_ip", "duration" : 0.062, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_chi_eta", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_component_precip_frac_specify", "duration" : 1.261, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_conservation_general_branch_no_clip", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_component_precip_frac_specify", "duration" : 0.007, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_conservation_upsilon_one_branch", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_component_precip_frac_specify", "duration" : 0.015, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_validity_bounds_broad_sweep", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_component_precip_frac_specify", "duration" : 1.935, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_grad_finite", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_component_precip_frac_specify", "duration" : 1.754, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_minimum_precipitation_fraction_does_not_lose_pdf_component", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 1, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_compute_gamma_skw", "duration" : 0.002, "errorDetails" : "ValueError: Non-hashable static arguments are not supported. An error occurred while trying to hash an object of type , [[ 2.65833663 0.06796532 2.85746223 -2.51498386 0.64413499 -0.74108049\u000a 1.81140724 -1.9528331 2.22981165]\u000a [ 0.2636484 2.41329048 -0.13707886 -0.41702233 1.73368031 2.904918\u000a -0.78164524 2.81359722 2.57415833]]. The error was:\u000aTypeError: unhashable type: 'numpy.ndarray'", "errorStackTrace" : "def test_f2py_oracle():\u000a try:\u000a import clubb_f2py\u000a except ModuleNotFoundError as e:\u000a if (e.name or \"\").split(\".\")[0] not in {\"clubb_f2py\", \"clubb_python\", \"netCDF4\"}:\u000a raise\u000a pytest.skip(f\" f2py compute_gamma_skw oracle: SKIP ({type(e).__name__})\")\u000a rng = np.random.default_rng(4)\u000a skw_zm = rng.uniform(-3, 3, (NG, NZM))\u000a skw_zt = rng.uniform(-3, 3, (NG, NZT))\u000a worst = 0.0\u000a configs = [(True, _params(0.32, 0.08, 1.2)), # varying\u000a (False, _params(0.32, 0.08, 1.2)), # constant\u000a (True, _params(0.25, 0.25, 1.0))] # degenerate coefs -> constant gamma_coef\u000a for l_gamma, params in configs:\u000a f_zm, f_zt = clubb_f2py.f2py_compute_gamma_skw(l_gamma, skw_zm, params, skw_zt)\u000a> g_zm = np.asarray(compute_gamma_Skw(skw_zm, params, l_gamma))\u000a ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u000aE ValueError: Non-hashable static arguments are not supported. An error occurred while trying to hash an object of type , [[ 2.65833663 0.06796532 2.85746223 -2.51498386 0.64413499 -0.74108049\u000aE 1.81140724 -1.9528331 2.22981165]\u000aE [ 0.2636484 2.41329048 -0.13707886 -0.41702233 1.73368031 2.904918\u000aE -0.78164524 2.81359722 2.57415833]]. The error was:\u000aE TypeError: unhashable type: 'numpy.ndarray'\u000a\u000aclubb_jax/pytests/auto_llm_generated_pytests/test_compute_gamma_skw.py:62: ValueError", "failedSince" : 4, "flakyFailures" : [ ], "name" : "test_f2py_oracle", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "FAILED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 1, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_compute_gamma_skw", "duration" : 0.001, "errorDetails" : "ValueError: Non-hashable static arguments are not supported. An error occurred while trying to hash an object of type , [[ 0. 1. -2.]]. The error was:\u000aTypeError: unhashable type: 'numpy.ndarray'", "errorStackTrace" : "def test_closed_form():\u000a gc, gb, gcf = 0.32, 0.08, 1.2\u000a params = _params(gc, gb, gcf)[:1] # single column to match skw's ngrdcol=1\u000a skw = np.array([[0.0, 1.0, -2.0]])\u000a> got = np.asarray(compute_gamma_Skw(skw, params, True))\u000a ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u000aE ValueError: Non-hashable static arguments are not supported. An error occurred while trying to hash an object of type , [[ 0. 1. -2.]]. The error was:\u000aE TypeError: unhashable type: 'numpy.ndarray'\u000a\u000aclubb_jax/pytests/auto_llm_generated_pytests/test_compute_gamma_skw.py:73: ValueError", "failedSince" : 4, "flakyFailures" : [ ], "name" : "test_closed_form", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "FAILED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 1, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_compute_gamma_skw", "duration" : 0.061, "errorDetails" : "ValueError: Non-hashable static arguments are not supported. An error occurred while trying to hash an object of type , GradTracer(primal=[[ 0.07092975 2.70278218 -2.13504232 2.69189668 -1.12901129 -0.46004131\u000a 1.96621556 -0.54480518 0.29756213]\u000a [-2.83464532 1.52107865 0.22885988 -1.0216097 1.73057222 -1.18083102\u000a -0.27901266 -2.19574982 -0.58132208]], typeof(tangent)=f64[2,9]). The error was:\u000aTypeError: unhashable type: 'LinearizeTracer'\u000a\u000a--------------------\u000aFor simplicity, JAX has removed its internal frames from the traceback of the following exception. Set JAX_TRACEBACK_FILTERING=off to include these.", "errorStackTrace" : "def test_differentiable():\u000a params = _params(0.32, 0.08, 1.2)\u000a def loss(skw):\u000a return jnp.sum(compute_gamma_Skw(skw, params, True) ** 2)\u000a> g = np.asarray(jax.grad(loss)(jnp.asarray(np.random.default_rng(1).uniform(-3, 3, (NG, NZM)))))\u000a ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u000a\u000aclubb_jax/pytests/auto_llm_generated_pytests/test_compute_gamma_skw.py:85: \u000a_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \u000a\u000askw = GradTracer(primal=[[ 0.07092975 2.70278218 -2.13504232 2.69189668 -1.12901129 -0.46004131\u000a 1.96621556 -0.54480518 ...7865 0.22885988 -1.0216097 1.73057222 -1.18083102\u000a -0.27901266 -2.19574982 -0.58132208]], typeof(tangent)=f64[2,9])\u000a\u000a def loss(skw):\u000a> return jnp.sum(compute_gamma_Skw(skw, params, True) ** 2)\u000a ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u000aE ValueError: Non-hashable static arguments are not supported. An error occurred while trying to hash an object of type , GradTracer(primal=[[ 0.07092975 2.70278218 -2.13504232 2.69189668 -1.12901129 -0.46004131\u000aE 1.96621556 -0.54480518 0.29756213]\u000aE [-2.83464532 1.52107865 0.22885988 -1.0216097 1.73057222 -1.18083102\u000aE -0.27901266 -2.19574982 -0.58132208]], typeof(tangent)=f64[2,9]). The error was:\u000aE TypeError: unhashable type: 'LinearizeTracer'\u000aE \u000aE --------------------\u000aE For simplicity, JAX has removed its internal frames from the traceback of the following exception. Set JAX_TRACEBACK_FILTERING=off to include these.\u000a\u000aclubb_jax/pytests/auto_llm_generated_pytests/test_compute_gamma_skw.py:84: ValueError", "failedSince" : 4, "flakyFailures" : [ ], "name" : "test_differentiable", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "FAILED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_compute_rtp2_from_chi", "duration" : 0.627, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_compute_rtp2_from_chi_vs_reference", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_compute_rtp2_from_chi", "duration" : 1.964, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_compute_rtp2_from_chi_grad", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 1, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_compute_sigma_sqd_w", "duration" : 0.19, "errorDetails" : "ValueError: clubb_f2py.clubb_f2py.f2py_compute_sigma_sqd_w: failed to create array from the 2nd argument `wp2` -- 0-th dimension must be fixed to 1 but got 2", "errorStackTrace" : "def test_f2py_oracle():\u000a try:\u000a import clubb_f2py\u000a from clubb_python import clubb_api\u000a from clubb_python.derived_types.err_info import ErrInfo\u000a except ModuleNotFoundError as e:\u000a if (e.name or \"\").split(\".\")[0] not in {\"clubb_f2py\", \"clubb_python\", \"netCDF4\"}:\u000a raise\u000a pytest.skip(f\" f2py compute_sigma_sqd_w oracle: SKIP ({type(e).__name__})\")\u000a jgr = setup_grid(ngrdcol=_NG, deltaz=_DZ, zm_init=0.0, zm_top=_ZTOP, grid_type=1)\u000a ng, nzm = jgr.zm.shape\u000a nzt = nzm - 1\u000a clubb_api.init_err_info(ng)\u000a cf = clubb_api.get_default_config_flags(); clubb_api.init_config_flags(cf)\u000a clubb_api.setup_grid(nzmax=nzm, ngrdcol=ng, sfc_elevation=np.zeros(ng),\u000a l_implemented=False, l_ascending_grid=True, grid_type=2,\u000a deltaz=np.full(ng, _DZ), zm_init=np.zeros(ng), zm_top=np.full(ng, float(jgr.zm[0, -1])),\u000a momentum_heights=np.asfortranarray(np.asarray(jgr.zm)),\u000a thermodynamic_heights=np.asfortranarray(np.asarray(jgr.zt)),\u000a err_info=ErrInfo(ngrdcol=ng))\u000a f = _fields(nzm, 5)\u000a order = ('gamma_Skw_fnc', 'wp2', 'thlp2', 'rtp2', 'up2', 'vp2', 'wpthlp', 'wprtp', 'upwp', 'vpwp')\u000a worst = 0.0\u000a for l_pred in (False, True):\u000a> ref = np.asarray(clubb_f2py.f2py_compute_sigma_sqd_w(\u000a nzt, *[np.asfortranarray(f[k]) for k in order], l_pred))\u000aE ValueError: clubb_f2py.clubb_f2py.f2py_compute_sigma_sqd_w: failed to create array from the 2nd argument `wp2` -- 0-th dimension must be fixed to 1 but got 2\u000a\u000aclubb_jax/pytests/auto_llm_generated_pytests/test_compute_sigma_sqd_w.py:70: ValueError", "failedSince" : 4, "flakyFailures" : [ ], "name" : "test_f2py_oracle", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "FAILED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 1, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_compute_sigma_sqd_w", "duration" : 0.003, "errorDetails" : "ValueError: Non-hashable static arguments are not supported. An error occurred while trying to hash an object of type , [[0.28752864 0.36916414 0.33270571 0.16756216 0.19004989 0.36206603\u000a 0.10157959 0.34636853 0.33912083 0.24038049 0.19090973 0.18352768\u000a 0.17646088 0.23352289 0.25136448 0.26604921 0.39865009 0.33779858\u000a 0.28665377 0.39668804 0.16459261 0.14806361 0.28376188 0.1131826\u000a 0.11070408 0.25446665 0.23986181 0.37515033 0.28876788 0.25423529\u000a 0.24906203]\u000a [0.17425448 0.10353821 0.15772064 0.30760964 0.16018202 0.21086089\u000a 0.10112027 0.34901432 0.14633832 0.18027979 0.36409965 0.25293724\u000a 0.35414507 0.29191515 0.32253128 0.12744868 0.26234315 0.25233167\u000a 0.36140181 0.20837922 0.27945522 0.11777549 0.21628954 0.1969109\u000a 0.14505992 0.34490143 0.21383385 0.39362437 0.27699751 0.28151688\u000a 0.29139897]]. The error was:\u000aTypeError: unhashable type: 'numpy.ndarray'", "errorStackTrace" : "def test_bounds():\u000a jgr = setup_grid(ngrdcol=_NG, deltaz=_DZ, zm_init=0.0, zm_top=_ZTOP, grid_type=1)\u000a nzm = jgr.zm.shape[1]\u000a f = _fields(nzm, 7)\u000a order = ('gamma_Skw_fnc', 'wp2', 'thlp2', 'rtp2', 'up2', 'vp2', 'wpthlp', 'wprtp', 'upwp', 'vpwp')\u000a> s = np.asarray(compute_sigma_sqd_w(*[f[k] for k in order], True, jgr))\u000a ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u000aE ValueError: Non-hashable static arguments are not supported. An error occurred while trying to hash an object of type , [[0.28752864 0.36916414 0.33270571 0.16756216 0.19004989 0.36206603\u000aE 0.10157959 0.34636853 0.33912083 0.24038049 0.19090973 0.18352768\u000aE 0.17646088 0.23352289 0.25136448 0.26604921 0.39865009 0.33779858\u000aE 0.28665377 0.39668804 0.16459261 0.14806361 0.28376188 0.1131826\u000aE 0.11070408 0.25446665 0.23986181 0.37515033 0.28876788 0.25423529\u000aE 0.24906203]\u000aE [0.17425448 0.10353821 0.15772064 0.30760964 0.16018202 0.21086089\u000aE 0.10112027 0.34901432 0.14633832 0.18027979 0.36409965 0.25293724\u000aE 0.35414507 0.29191515 0.32253128 0.12744868 0.26234315 0.25233167\u000aE 0.36140181 0.20837922 0.27945522 0.11777549 0.21628954 0.1969109\u000aE 0.14505992 0.34490143 0.21383385 0.39362437 0.27699751 0.28151688\u000aE 0.29139897]]. The error was:\u000aE TypeError: unhashable type: 'numpy.ndarray'\u000a\u000aclubb_jax/pytests/auto_llm_generated_pytests/test_compute_sigma_sqd_w.py:83: ValueError", "failedSince" : 4, "flakyFailures" : [ ], "name" : "test_bounds", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "FAILED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 1, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_compute_sigma_sqd_w", "duration" : 0.054, "errorDetails" : "ValueError: Non-hashable static arguments are not supported. An error occurred while trying to hash an object of type , [[0.36107476 0.18604516 0.28094445 0.33326022 0.31482239 0.37461404\u000a 0.35811809 0.37547129 0.10797632 0.2311744 0.2454833 0.11954626\u000a 0.10168782 0.34918643 0.39499067 0.33538296 0.19468105 0.31160011\u000a 0.18975432 0.32222454 0.18392417 0.33477727 0.39632222 0.39587156\u000a 0.36485877 0.37384302 0.31246207 0.26634906 0.37697146 0.12691923\u000a 0.21103946]]. The error was:\u000aTypeError: unhashable type: 'numpy.ndarray'\u000a\u000a--------------------\u000aFor simplicity, JAX has removed its internal frames from the traceback of the following exception. Set JAX_TRACEBACK_FILTERING=off to include these.", "errorStackTrace" : "def test_differentiable():\u000a jgr = setup_grid(ngrdcol=1, deltaz=_DZ, zm_init=0.0, zm_top=_ZTOP, grid_type=1)\u000a nzm = jgr.zm.shape[1]\u000a global _NG\u000a saved = _NG; _NG = 1\u000a try:\u000a f = _fields(nzm, 9)\u000a order = ('gamma_Skw_fnc', 'wp2', 'thlp2', 'rtp2', 'up2', 'vp2', 'wpthlp', 'wprtp', 'upwp', 'vpwp')\u000a def loss(wpthlp):\u000a ff = dict(f); ff['wpthlp'] = wpthlp\u000a return jnp.sum(compute_sigma_sqd_w(*[ff[k] for k in order], True, jgr) ** 2)\u000a> g = np.asarray(jax.grad(loss)(jnp.asarray(f['wpthlp'])))\u000a ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u000a\u000aclubb_jax/pytests/auto_llm_generated_pytests/test_compute_sigma_sqd_w.py:101: \u000a_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \u000a\u000awpthlp = GradTracer(primal=[[-0.0823953 0.06430779 0.26990302 0.20396877 -0.08204958 0.4383344\u000a 0.48180162 0.35123097 -...6\u000a 0.18814697 -0.09385239 -0.33021589 0.30629132 -0.41984701 0.24821026\u000a -0.19028652]], typeof(tangent)=f64[1,31])\u000a\u000a def loss(wpthlp):\u000a ff = dict(f); ff['wpthlp'] = wpthlp\u000a> return jnp.sum(compute_sigma_sqd_w(*[ff[k] for k in order], True, jgr) ** 2)\u000a ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u000aE ValueError: Non-hashable static arguments are not supported. An error occurred while trying to hash an object of type , [[0.36107476 0.18604516 0.28094445 0.33326022 0.31482239 0.37461404\u000aE 0.35811809 0.37547129 0.10797632 0.2311744 0.2454833 0.11954626\u000aE 0.10168782 0.34918643 0.39499067 0.33538296 0.19468105 0.31160011\u000aE 0.18975432 0.32222454 0.18392417 0.33477727 0.39632222 0.39587156\u000aE 0.36485877 0.37384302 0.31246207 0.26634906 0.37697146 0.12691923\u000aE 0.21103946]]. The error was:\u000aE TypeError: unhashable type: 'numpy.ndarray'\u000aE \u000aE --------------------\u000aE For simplicity, JAX has removed its internal frames from the traceback of the following exception. Set JAX_TRACEBACK_FILTERING=off to include these.\u000a\u000aclubb_jax/pytests/auto_llm_generated_pytests/test_compute_sigma_sqd_w.py:100: ValueError", "failedSince" : 4, "flakyFailures" : [ ], "name" : "test_differentiable", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "FAILED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 1, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_compute_uv_tndcy", "duration" : 0.058, "errorDetails" : "ValueError: Non-hashable static arguments are not supported. An error occurred while trying to hash an object of type , [9.64799869e-05 1.16111763e-04]. The error was:\u000aTypeError: unhashable type: 'jaxlib._jax.ArrayImpl'", "errorStackTrace" : "def test_matches_f90_sign_convention():\u000a rng = np.random.default_rng(543)\u000a fcor, ug, vg, um, vm, um_f, vm_f = _inputs(rng)\u000a> um_t, vm_t = compute_uv_tndcy(jnp.asarray(fcor), jnp.asarray(ug), jnp.asarray(vg),\u000a jnp.asarray(um), jnp.asarray(vm), jnp.asarray(um_f), jnp.asarray(vm_f))\u000aE ValueError: Non-hashable static arguments are not supported. An error occurred while trying to hash an object of type , [9.64799869e-05 1.16111763e-04]. The error was:\u000aE TypeError: unhashable type: 'jaxlib._jax.ArrayImpl'\u000a\u000aclubb_jax/pytests/auto_llm_generated_pytests/test_compute_uv_tndcy.py:50: ValueError", "failedSince" : 4, "flakyFailures" : [ ], "name" : "test_matches_f90_sign_convention", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "FAILED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 1, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_compute_uv_tndcy", "duration" : 0.001, "errorDetails" : "ValueError: Non-hashable static arguments are not supported. An error occurred while trying to hash an object of type , [0.00011251 0.00013972]. The error was:\u000aTypeError: unhashable type: 'jaxlib._jax.ArrayImpl'", "errorStackTrace" : "def test_geostrophic_balance():\u000a \"\"\"With wind == geostrophic wind and zero forcing, the Coriolis+geostrophic tendency must vanish exactly.\"\"\"\u000a rng = np.random.default_rng(7)\u000a fcor = rng.uniform(0.5e-4, 1.5e-4, (_NG,))\u000a ug = rng.uniform(-10.0, 10.0, (_NG, _NZT)); vg = rng.uniform(-10.0, 10.0, (_NG, _NZT))\u000a zero = np.zeros((_NG, _NZT))\u000a> um_t, vm_t = compute_uv_tndcy(jnp.asarray(fcor), jnp.asarray(ug), jnp.asarray(vg),\u000a jnp.asarray(ug), jnp.asarray(vg), jnp.asarray(zero), jnp.asarray(zero))\u000aE ValueError: Non-hashable static arguments are not supported. An error occurred while trying to hash an object of type , [0.00011251 0.00013972]. The error was:\u000aE TypeError: unhashable type: 'jaxlib._jax.ArrayImpl'\u000a\u000aclubb_jax/pytests/auto_llm_generated_pytests/test_compute_uv_tndcy.py:68: ValueError", "failedSince" : 4, "flakyFailures" : [ ], "name" : "test_geostrophic_balance", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "FAILED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 1, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_compute_uv_tndcy", "duration" : 0.001, "errorDetails" : "ValueError: Non-hashable static arguments are not supported. An error occurred while trying to hash an object of type , [0.0001006 0.00010651]. The error was:\u000aTypeError: unhashable type: 'jaxlib._jax.ArrayImpl'", "errorStackTrace" : "def test_forcing_additive_and_grad():\u000a rng = np.random.default_rng(99)\u000a fcor, ug, vg, um, vm, um_f, vm_f = _inputs(rng)\u000a # Forcing enters additively: tndcy(forcing) − tndcy(0) == forcing.\u000a> a_um, a_vm = compute_uv_tndcy(jnp.asarray(fcor), jnp.asarray(ug), jnp.asarray(vg),\u000a jnp.asarray(um), jnp.asarray(vm), jnp.asarray(um_f), jnp.asarray(vm_f))\u000aE ValueError: Non-hashable static arguments are not supported. An error occurred while trying to hash an object of type , [0.0001006 0.00010651]. The error was:\u000aE TypeError: unhashable type: 'jaxlib._jax.ArrayImpl'\u000a\u000aclubb_jax/pytests/auto_llm_generated_pytests/test_compute_uv_tndcy.py:79: ValueError", "failedSince" : 4, "flakyFailures" : [ ], "name" : "test_forcing_additive_and_grad", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "FAILED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_compute_xp3", "duration" : 0.784, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_f2py_oracle_adg1", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_config_flags_complete", "duration" : 0.39, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_config_flags_cover_all_fortran_configurable_flags", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_config_flags_complete", "duration" : 0.022, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_default_values_match_fortran", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_constants", "duration" : 0.011, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_public_constant_inventory_matches_fortran_source", "properties" : { }, "rerunFailures" 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"skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 1, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_limits_f_x_responder", "duration" : 0.001, "errorDetails" : "ValueError: too many axes: 2 (effrank=2), expected rank=1", "errorStackTrace" : "def test_f2py_oracle():\u000a try:\u000a import clubb_f2py\u000a except ModuleNotFoundError as e:\u000a if (e.name or \"\").split(\".\")[0] not in {\"clubb_f2py\", \"clubb_python\", \"netCDF4\"}:\u000a raise\u000a pytest.skip(f\" f2py calc_limits_f_x_responder oracle: SKIP ({type(e).__name__})\")\u000a worst = 0.0\u000a for seed in (11, 22, 33):\u000a mf, Skx, sgn = _inputs(seed)\u000a mp = np.full((NG, NZ), MAX_POS); mn = np.full((NG, NZ), MAX_NEG)\u000a> f_min, f_max = clubb_f2py.f2py_calc_limits_f_x_responder(mf, Skx, sgn, mp, mn)\u000a ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u000aE ValueError: too many axes: 2 (effrank=2), expected rank=1\u000a\u000aclubb_jax/pytests/auto_llm_generated_pytests/test_limits_f_x_responder.py:61: ValueError", "failedSince" : 4, "flakyFailures" : [ ], "name" : "test_f2py_oracle", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "FAILED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_limits_f_x_responder", "duration" : 2.259, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_bounds", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_limits_f_x_responder", "duration" : 3.94, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_differentiable", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_liq_water_path", "duration" : 0.141, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_liq_water_path", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 1, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_luhar_3d_driver", "duration" : 0.001, "errorDetails" : "ValueError: too many axes: 2 (effrank=2), expected rank=1", "errorStackTrace" : "def test_f2py_oracle():\u000a try:\u000a import clubb_f2py\u000a except ModuleNotFoundError as e:\u000a if (e.name or \"\").split(\".\")[0] not in {\"clubb_f2py\", \"clubb_python\", \"netCDF4\"}:\u000a raise\u000a pytest.skip(f\" f2py luhar_3d_pdf_driver oracle: SKIP ({type(e).__name__})\")\u000a rng = np.random.default_rng(11)\u000a order = ('wm', 'rtm', 'thlm', 'wp2', 'rtp2', 'thlp2', 'Skw', 'Skrt', 'Skthl', 'wprtp', 'wpthlp')\u000a worst = 0.0\u000a for _ in range(4):\u000a a = _inputs(rng)\u000a> f = clubb_f2py.f2py_luhar_3d_pdf_driver(*[a[k] for k in order])\u000a ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u000aE ValueError: too many axes: 2 (effrank=2), expected rank=1\u000a\u000aclubb_jax/pytests/auto_llm_generated_pytests/test_luhar_3d_driver.py:52: ValueError", "failedSince" : 4, "flakyFailures" : [ ], "name" : "test_f2py_oracle", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "FAILED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_luhar_3d_driver", "duration" : 7.256, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_differentiable", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 1, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_luhar_params", "duration" : 0.001, "errorDetails" : "ValueError: too many axes: 2 (effrank=2), expected rank=1", "errorStackTrace" : "def test_f2py_oracle():\u000a try:\u000a import clubb_f2py\u000a except ModuleNotFoundError as e:\u000a if (e.name or \"\").split(\".\")[0] not in {\"clubb_f2py\", \"clubb_python\", \"netCDF4\"}:\u000a raise\u000a pytest.skip(f\" f2py calc_luhar_params oracle: SKIP ({type(e).__name__})\")\u000a worst = 0.0\u000a n_const = 0\u000a for seed in (11, 22, 33):\u000a Skx, wpxp, xp2 = _inputs(seed)\u000a if seed == 33: # force some constant-x points\u000a xp2[:, :2] = 1e-8; n_const += 1\u000a> f = clubb_f2py.f2py_calc_luhar_params(Skx, wpxp, xp2, _X_TOL_SQD)\u000a ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u000aE ValueError: too many axes: 2 (effrank=2), expected rank=1\u000a\u000aclubb_jax/pytests/auto_llm_generated_pytests/test_luhar_params.py:56: ValueError", "failedSince" : 4, "flakyFailures" : [ ], "name" : "test_f2py_oracle", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "FAILED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_luhar_params", "duration" : 2.019, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_invariants", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_luhar_params", "duration" : 1.623, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_differentiable", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 1, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_ly93_pdf", "duration" : 0.001, "errorDetails" : "ValueError: too many axes: 2 (effrank=2), expected rank=1", "errorStackTrace" : "def test_f2py_oracle():\u000a try:\u000a import clubb_f2py\u000a except ModuleNotFoundError as e:\u000a if (e.name or \"\").split(\".\")[0] not in {\"clubb_f2py\", \"clubb_python\", \"netCDF4\"}:\u000a raise\u000a pytest.skip(f\" f2py calc_params_ly93 oracle: SKIP ({type(e).__name__})\")\u000a worst = 0.0\u000a for seed in (11, 22, 33):\u000a xm, xp2, Skx, mf = _inputs(seed)\u000a> f = clubb_f2py.f2py_calc_params_ly93(xm, xp2, Skx, mf)\u000a ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u000aE ValueError: too many axes: 2 (effrank=2), expected rank=1\u000a\u000aclubb_jax/pytests/auto_llm_generated_pytests/test_ly93_pdf.py:53: ValueError", "failedSince" : 4, "flakyFailures" : [ ], "name" : "test_f2py_oracle", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "FAILED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_ly93_pdf", "duration" : 1.017, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_moment_reconstruction", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_ly93_pdf", "duration" : 0.359, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_mixt_frac_root", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 1, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_ly93_pdf", "duration" : 0.001, "errorDetails" : "ValueError: too many axes: 2 (effrank=2), expected rank=1", "errorStackTrace" : "def test_driver_f2py():\u000a try:\u000a import clubb_f2py\u000a except ModuleNotFoundError as e:\u000a if (e.name or \"\").split(\".\")[0] not in {\"clubb_f2py\", \"clubb_python\", \"netCDF4\"}:\u000a raise\u000a pytest.skip(f\" f2py ly93_driver oracle: SKIP ({type(e).__name__})\")\u000a rng = np.random.default_rng(8)\u000a worst = 0.0\u000a for _ in range(5):\u000a wm = rng.uniform(-1, 1, (NG, NZ)); rtm = rng.uniform(0, 0.02, (NG, NZ)); thlm = rng.uniform(285, 305, (NG, NZ))\u000a wp2 = rng.uniform(0.05, 2.0, (NG, NZ)); rtp2 = rng.uniform(1e-8, 1e-6, (NG, NZ)); thlp2 = rng.uniform(0.01, 1.0, (NG, NZ))\u000a # Skewness spanning both the 0.75 branch (|Sk|<=0.84) and the iterative branch.\u000a Skw = rng.uniform(-3, 3, (NG, NZ)); Skrt = rng.uniform(-1, 1, (NG, NZ)); Skthl = rng.uniform(-2, 2, (NG, NZ))\u000a> f = clubb_f2py.f2py_ly93_driver(wm, rtm, thlm, wp2, rtp2, thlp2, Skw, Skrt, Skthl)\u000a ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u000aE ValueError: too many axes: 2 (effrank=2), expected rank=1\u000a\u000aclubb_jax/pytests/auto_llm_generated_pytests/test_ly93_pdf.py:109: ValueError", "failedSince" : 4, "flakyFailures" : [ ], "name" : "test_driver_f2py", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "FAILED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_ly93_pdf", "duration" : 1.388, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_differentiable", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_max_cubic_root", "duration" : 2.843, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_root_property_and_max", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_max_cubic_root", "duration" : 0.01, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_fallbacks", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_max_cubic_root", "duration" : 4.121, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_differentiable", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_mean_adv", "duration" : 0.379, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_f2py_oracle", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 1, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_mean_vert_vel_up_down", "duration" : 0.001, "errorDetails" : "ValueError: Non-hashable static arguments are not supported. An error occurred while trying to hash an object of type , [[0.2 0.2 0.2 0.2 0.2 0.2]]. The error was:\u000aTypeError: unhashable type: 'numpy.ndarray'", "errorStackTrace" : "def test_interior_truncated_means_vs_mc():\u000a wi, sig = 0.2, 0.5 # |wi| < 3σ (else branch), wm=0 so not too_weak\u000a var = sig ** 2\u000a> mwd, mwu = calc_mean_w_up_down_component(_col(wi), _col(var), _col(0.0))\u000a ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u000aE ValueError: Non-hashable static arguments are not supported. An error occurred while trying to hash an object of type , [[0.2 0.2 0.2 0.2 0.2 0.2]]. The error was:\u000aE TypeError: unhashable type: 'numpy.ndarray'\u000a\u000aclubb_jax/pytests/auto_llm_generated_pytests/test_mean_vert_vel_up_down.py:43: ValueError", "failedSince" : 4, "flakyFailures" : [ ], "name" : "test_interior_truncated_means_vs_mc", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "FAILED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 1, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_mean_vert_vel_up_down", "duration" : 0.001, "errorDetails" : "ValueError: Non-hashable static arguments are not supported. An error occurred while trying to hash an object of type , [[0.1 0.1 0.1 0.1 0.1 0.1]]. 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"test_updated_shared_hydrometeor_interfaces[stats_clubb_utilities-stats_accumulate_hydromet_api]", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_microphysics_port_structure", "duration" : 0.012, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_fatal_dump_uses_actual_model_time", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_mirror_lower_triangular", "duration" : 0.769, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_f2py_oracle", "properties" : { }, "rerunFailures" : [ ], "skipped" : 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null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_bivar_NL_closed_form_and_mc", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_mixed_moment_pdf_integrals", "duration" : 0.055, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_comp_eq_branch_selection", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_mixed_moment_pdf_integrals", "duration" : 9.046, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_xp_a_hmpb_monte_carlo", "properties" : { }, "rerunFailures" : [ ], "skipped" : 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"clubb_jax.pytests.auto_llm_generated_pytests.test_mixed_moment_pdf_integrals", "duration" : 1.06, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_differentiable", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 1, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_mixing_length", "duration" : 0.001, "errorDetails" : "ValueError: The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()", "errorStackTrace" : "def test_set_Lscale_max_f2py():\u000a try:\u000a import clubb_f2py\u000a except ModuleNotFoundError as e:\u000a if (e.name or \"\").split(\".\")[0] not in {\"clubb_f2py\", \"clubb_python\", \"netCDF4\"}:\u000a raise\u000a pytest.skip(f\" f2py set_Lscale_max oracle: SKIP ({type(e).__name__})\")\u000a rng = np.random.default_rng(1)\u000a worst = 0.0\u000a for l_impl in (0, 1):\u000a for _ in range(10):\u000a dx = rng.uniform(100.0, 5e5, 3); dy = rng.uniform(100.0, 5e5, 3)\u000a> j = np.asarray(set_Lscale_max(l_impl, dx, dy, 3))\u000a ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u000a\u000aclubb_jax/pytests/auto_llm_generated_pytests/test_mixing_length.py:59: \u000a_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \u000a\u000angrdcol = 0\u000al_implemented = array([255959.63018766, 475236.80179334, 72165.39039854])\u000ahost_dx = array([474329.85862391, 155984.54286004, 211720.89184139])\u000ahost_dy = 3\u000a\u000a def set_Lscale_max(\u000a ngrdcol: int,\u000a l_implemented: bool,\u000a host_dx,\u000a host_dy,\u000a ):\u000a \"\"\"Set the maximum allowable value of Lscale.\u000a \u000a Description:\u000a This subroutine sets the value of Lscale_max, which is the maximum\u000a allowable value of Lscale. For standard CLUBB, it is set to a very large\u000a value so that Lscale will not be limited. However, when CLUBB is running\u000a as part of a host model, the value of Lscale_max is dependent on the size\u000a of the host model's horizontal grid spacing. The smaller the host model's\u000a horizontal grid spacing, the smaller the value of Lscale_max. When Lscale\u000a is limited to a small value, the value of time-scale Tau is reduced, which\u000a in turn produces greater damping on CLUBB's turbulent parameters. This\u000a is the desired effect on turbulent parameters for a host model with small\u000a horizontal grid spacing, for small areas usually contain much less\u000a variation in meteorological quantities than large areas.\u000a \u000a References:\u000a None\u000a \"\"\"\u000a # Determine the maximum allowable value for Lscale (in meters).\u000a> if l_implemented:\u000a ^^^^^^^^^^^^^\u000aE ValueError: The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()\u000a\u000aclubb_jax/src/CLUBB_core/mixing_length.py:370: ValueError", "failedSince" : 4, "flakyFailures" : [ ], "name" : "test_set_Lscale_max_f2py", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "FAILED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 1, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_mixing_length", "duration" : 0.223, "errorDetails" : "TypeError: calc_Lscale_directly() missing 11 required positional arguments: 'rtpthlp_zt', 'pdf_params', 'em', 'thv_ds_zt', 'Lscale_max', 'lmin', 'clubb_params', 'saturation_formula', 'l_Lscale_plume_centered', 'stats', and 'err_info'", "errorStackTrace" : "def test_calc_Lscale_directly_f2py():\u000a try:\u000a clubb_f2py, jgr, ng, nzm = _setup_f2py_grid()\u000a except ModuleNotFoundError as e:\u000a if (e.name or \"\").split(\".\")[0] not in {\"clubb_f2py\", \"clubb_python\", \"netCDF4\"}:\u000a raise\u000a pytest.skip(f\" f2py calc_Lscale_directly oracle: SKIP ({type(e).__name__})\")\u000a nzt = nzm - 1\u000a worst_rel = 0.0\u000a for s in range(6):\u000a rng = np.random.default_rng(s)\u000a thlm = np.sort(rng.uniform(290.0, 330.0, (ng, nzt)), axis=1); exner = rng.uniform(0.8, 1.0, (ng, nzt))\u000a rtm = rng.uniform(2e-3, 1.4e-2, (ng, nzt)); thvm = thlm * (1.0 + 0.6 * rtm)\u000a em = rng.uniform(1e-2, 1.0, (ng, nzm)); p = np.sort(rng.uniform(6e4, 1e5, (ng, nzt)), axis=1)[:, ::-1].copy()\u000a thv_ds = thvm.copy(); Lmax = np.full(ng, 1e5); lmin = 20.0\u000a npar = max(imu, 100); cp = np.zeros((ng, npar)); cp[:, imu] = rng.uniform(0.4, 1.0, ng); mu = cp[:, imu]\u000a> jr = calc_Lscale_directly(jnp.asarray(thvm), jnp.asarray(thlm), jnp.asarray(rtm), jnp.asarray(em),\u000a jnp.asarray(Lmax), jnp.asarray(p), jnp.asarray(exner), jnp.asarray(thv_ds), jnp.asarray(cp),\u000a lmin, SATURATION_FLATAU, False, jgr)\u000aE TypeError: calc_Lscale_directly() missing 11 required positional arguments: 'rtpthlp_zt', 'pdf_params', 'em', 'thv_ds_zt', 'Lscale_max', 'lmin', 'clubb_params', 'saturation_formula', 'l_Lscale_plume_centered', 'stats', and 'err_info'\u000a\u000aclubb_jax/pytests/auto_llm_generated_pytests/test_mixing_length.py:97: TypeError", "failedSince" : 4, "flakyFailures" : [ ], "name" : "test_calc_Lscale_directly_f2py", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "FAILED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 1, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_mixing_length", "duration" : 0.019, "errorDetails" : "TypeError: diagnose_Lscale_from_tau() missing 4 required positional arguments: 'l_smooth_Heaviside_tau_wpxp', 'brunt_vaisala_freq_sqd_smth', 'Ri_zm', and 'err_info'", "errorStackTrace" : "def test_diagnose_Lscale_from_tau_f2py():\u000a \"\"\"diagnose_Lscale_from_tau (the l_diag_Lscale_from_tau path — the tau-based mixing-length / dissipation-time\u000a diagnostics) vs the Fortran oracle. This routine is GATED OFF in every validated case (no case_setup sets\u000a l_diag_Lscale_from_tau), so it is otherwise UN-exercised — this is its only validation. The JAX returns the\u000a Fortran's 19 outputs (invrs_tau_* / tau_* / Lscale[/up/down]) plus 2 extra diagnostics appended; the first 19\u000a are compared by name-order. SKIPs if clubb_f2py / clubb_python are unbuilt. (iter 418)\"\"\"\u000a try:\u000a clubb_f2py, jgr, ng, nzm = _setup_f2py_grid()\u000a except ModuleNotFoundError as e:\u000a if (e.name or \"\").split(\".\")[0] not in {\"clubb_f2py\", \"clubb_python\", \"netCDF4\"}:\u000a raise\u000a pytest.skip(f\" f2py diagnose_Lscale_from_tau oracle: SKIP ({type(e).__name__})\")\u000a nzt = nzm - 1\u000a cp = np.asarray(init_clubb_params(ng, filename=_TUNABLE_PARAMS)) # realistic defaults (well-conditioned tau)\u000a worst = 0.0\u000a for s in range(4):\u000a rng = np.random.default_rng(s)\u000a upwp = rng.uniform(-0.1, 0.1, ng); vpwp = rng.uniform(-0.1, 0.1, ng)\u000a ddzt = rng.uniform(0.0, 1e-3, (ng, nzm)); isf = rng.uniform(0.0, 0.3, (ng, nzt))\u000a em = rng.uniform(1e-2, 1.0, (ng, nzm)); sqem = np.sqrt(rng.uniform(1e-2, 1.0, (ng, nzt)))\u000a sfce = np.zeros(ng); Lmax = np.full(ng, 1e5)\u000a Ri = rng.uniform(-1.0, 5.0, (ng, nzm)); bvs = rng.uniform(-1e-3, 1e-2, (ng, nzm))\u000a> jr = diagnose_Lscale_from_tau(jnp.asarray(upwp), jnp.asarray(vpwp), jnp.asarray(ddzt), jnp.asarray(isf),\u000a jnp.asarray(em), jnp.asarray(sqem), 0.01, 900.0, jnp.asarray(sfce), jnp.asarray(Lmax),\u000a jnp.asarray(cp), jnp.asarray(Ri), jnp.asarray(bvs), False, False, jgr)\u000aE TypeError: diagnose_Lscale_from_tau() missing 4 required positional arguments: 'l_smooth_Heaviside_tau_wpxp', 'brunt_vaisala_freq_sqd_smth', 'Ri_zm', and 'err_info'\u000a\u000aclubb_jax/pytests/auto_llm_generated_pytests/test_mixing_length.py:133: TypeError", "failedSince" : 4, "flakyFailures" : [ ], "name" : "test_diagnose_Lscale_from_tau_f2py", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "FAILED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_mono_flux_limiter", "duration" : 2.327, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_bit_exact", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_mono_flux_limiter", "duration" : 2.227, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_differentiable", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_mono_flux_limiter", "duration" : 0.15, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_full_limiter_f2py", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_mono_flux_limiter", "duration" : 0.563, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_calc_turb_adv_range_f2py", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_morrison_special", "duration" : 1.514, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_derf1_vs_scipy", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_morrison_special", "duration" : 3.058, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_derf1_identities", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_mpace_b_lba_tndcy", "duration" : 1.457, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_mpace_b_vs_literal", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_mpace_b_lba_tndcy", "duration" : 0.138, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_mpace_b_physical", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_mpace_b_lba_tndcy", "duration" : 0.125, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_lba_tndcy_zero", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_mpace_b_lba_tndcy", "duration" : 1.244, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_differentiable", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 1, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_new_pdf", "duration" : 0.001, "errorDetails" : "ValueError: too many axes: 2 (effrank=2), expected rank=1", "errorStackTrace" : "def test_coef_wp4_f2py():\u000a try:\u000a import clubb_f2py\u000a except ModuleNotFoundError as e:\u000a if (e.name or \"\").split(\".\")[0] not in {\"clubb_f2py\", \"clubb_python\", \"netCDF4\"}:\u000a raise\u000a pytest.skip(f\" f2py calc_coef_wp4_implicit oracle: SKIP ({type(e).__name__})\")\u000a rng = np.random.default_rng(3)\u000a worst = 0.0\u000a for _ in range(20):\u000a mf = rng.uniform(0.1, 0.9, (NG, NZ))\u000a F = rng.uniform(0.0, 1.0, (NG, NZ))\u000a c1 = rng.uniform(0.0, 2.0, (NG, NZ))\u000a c2 = rng.uniform(0.0, 2.0, (NG, NZ))\u000a> ref = np.asarray(clubb_f2py.f2py_calc_coef_wp4_implicit(mf, F, c1, c2))\u000a ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u000aE ValueError: too many axes: 2 (effrank=2), expected rank=1\u000a\u000aclubb_jax/pytests/auto_llm_generated_pytests/test_new_pdf.py:51: ValueError", "failedSince" : 4, "flakyFailures" : [ ], "name" : "test_coef_wp4_f2py", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "FAILED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_new_pdf", "duration" : 1.396, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_mixture_fraction", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 1, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_new_pdf", "duration" : 0.001, "errorDetails" : "ValueError: too many axes: 2 (effrank=2), expected rank=1", "errorStackTrace" : "def test_coef_wpxp2_f2py():\u000a try:\u000a import clubb_f2py\u000a except ModuleNotFoundError as e:\u000a if (e.name or \"\").split(\".\")[0] not in {\"clubb_f2py\", \"clubb_python\", \"netCDF4\"}:\u000a raise\u000a pytest.skip(f\" f2py calc_coef_wpxp2_implicit oracle: SKIP ({type(e).__name__})\")\u000a rng = np.random.default_rng(8)\u000a worst = 0.0\u000a n_branchB = 0\u000a for trial in range(30):\u000a mf = rng.uniform(0.1, 0.9, (NG, NZ))\u000a F_w = rng.uniform(0.05, 1.0, (NG, NZ)); F_x = rng.uniform(0.05, 1.0, (NG, NZ))\u000a wp2 = rng.uniform(0.1, 2.0, (NG, NZ)); xp2 = rng.uniform(0.1, 2.0, (NG, NZ))\u000a wpxp = rng.uniform(-1.0, 1.0, (NG, NZ)); sgn = np.sign(wpxp); sgn[sgn == 0] = 1.0\u000a cw1 = rng.uniform(0.1, 2.0, (NG, NZ)); cw2 = rng.uniform(0.1, 2.0, (NG, NZ))\u000a cx1 = rng.uniform(0.1, 2.0, (NG, NZ)); cx2 = rng.uniform(0.1, 2.0, (NG, NZ))\u000a if trial % 3 == 0: # trigger the reduced branch (zero sigma products)\u000a cw1 = np.zeros((NG, NZ)); cw2 = np.zeros((NG, NZ)); n_branchB += 1\u000a> ref = np.asarray(clubb_f2py.f2py_calc_coef_wpxp2_implicit(\u000a wp2, xp2, wpxp, sgn, mf, F_w, F_x, cw1, cw2, cx1, cx2))\u000aE ValueError: too many axes: 2 (effrank=2), expected rank=1\u000a\u000aclubb_jax/pytests/auto_llm_generated_pytests/test_new_pdf.py:107: ValueError", "failedSince" : 4, "flakyFailures" : [ ], "name" : "test_coef_wpxp2_f2py", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "FAILED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 1, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_new_pdf", "duration" : 0.604, "errorDetails" : "AssertionError: calc_coef_wp2xp_implicit f2py mismatch 4.09e+00\u000aassert np.float64(4.086323442882921) < 1e-11", "errorStackTrace" : "def test_coef_wp2xp_f2py():\u000a try:\u000a import clubb_f2py\u000a except ModuleNotFoundError as e:\u000a if (e.name or \"\").split(\".\")[0] not in {\"clubb_f2py\", \"clubb_python\", \"netCDF4\"}:\u000a raise\u000a pytest.skip(f\" f2py calc_coef_wp2xp_implicit oracle: SKIP ({type(e).__name__})\")\u000a rng = np.random.default_rng(9)\u000a worst = 0.0\u000a n_zero = 0\u000a for trial in range(20):\u000a mf = rng.uniform(0.1, 0.9, (NG, NZ))\u000a F = rng.uniform(0.05, 1.0, (NG, NZ))\u000a wp2 = rng.uniform(0.05, 2.0, (NG, NZ))\u000a c1 = rng.uniform(0.0, 2.0, (NG, NZ)); c2 = rng.uniform(0.0, 2.0, (NG, NZ))\u000a if trial % 4 == 0: # exercise the F_w = 0 -> 0 branch\u000a F = np.zeros((NG, NZ)); n_zero += 1\u000a ref = np.asarray(clubb_f2py.f2py_calc_coef_wp2xp_implicit(wp2, mf, F, c1, c2))\u000a got = np.asarray(calc_coef_wp2xp_implicit(wp2, mf, F, c1, c2))\u000a worst = max(worst, np.max(np.abs(got - ref)))\u000a> assert worst < 1e-11, f\"calc_coef_wp2xp_implicit f2py mismatch {worst:.2e}\"\u000aE AssertionError: calc_coef_wp2xp_implicit f2py mismatch 4.09e+00\u000aE assert np.float64(4.086323442882921) < 1e-11\u000a\u000aclubb_jax/pytests/auto_llm_generated_pytests/test_new_pdf.py:136: AssertionError", "failedSince" : 4, "flakyFailures" : [ ], "name" : "test_coef_wp2xp_f2py", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "FAILED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_new_pdf", "duration" : 0.636, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_new_hybrid_aliases", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_new_pdf", "duration" : 2.317, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_differentiable", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_new_tsdadg_pdf", "duration" : 0.531, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_f2py_oracle", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_new_tsdadg_pdf", "duration" : 0.851, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_closed_form_and_swap", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_new_tsdadg_pdf", "duration" : 1.301, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_differentiable", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_new_tsdadg_pdf", "duration" : 0.872, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_setter_f2py", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_new_tsdadg_pdf", "duration" : 0.442, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_setter_mean_reconstruction", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_new_tsdadg_pdf", "duration" : 1.512, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_setter_differentiable", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_new_tsdadg_pdf", "duration" : 0.563, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_responder", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 1, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_new_tsdadg_pdf", "duration" : 0.001, "errorDetails" : "ValueError: too many axes: 2 (effrank=2), expected rank=1", "errorStackTrace" : "def test_driver_f2py():\u000a try:\u000a import clubb_f2py\u000a except ModuleNotFoundError as e:\u000a if (e.name or \"\").split(\".\")[0] not in {\"clubb_f2py\", \"clubb_python\", \"netCDF4\"}:\u000a raise\u000a pytest.skip(f\" f2py tsdadg_pdf_driver oracle: SKIP ({type(e).__name__})\")\u000a rng = np.random.default_rng(13)\u000a worst = 0.0\u000a ng, nz = 2, 8\u000a for _ in range(4):\u000a wm = rng.uniform(-1, 1, (ng, nz)); rtm = rng.uniform(0, 0.02, (ng, nz)); thlm = rng.uniform(285, 305, (ng, nz))\u000a wp2 = rng.uniform(0.05, 2, (ng, nz)); rtp2 = rng.uniform(1e-8, 1e-6, (ng, nz)); thlp2 = rng.uniform(0.01, 1, (ng, nz))\u000a # Skewness with varying magnitudes so each of w/rt/thl is the setter at some points.\u000a Skw = rng.uniform(-3, 3, (ng, nz)); Skrt = rng.uniform(-3, 3, (ng, nz)); Skthl = rng.uniform(-3, 3, (ng, nz))\u000a wprtp = rng.uniform(-1, 1, (ng, nz)); wpthlp = rng.uniform(-1, 1, (ng, nz))\u000a> f = clubb_f2py.f2py_tsdadg_pdf_driver(wm, rtm, thlm, wp2, rtp2, thlp2, Skw, Skrt, Skthl, wprtp, wpthlp)\u000a ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u000aE ValueError: too many axes: 2 (effrank=2), expected rank=1\u000a\u000aclubb_jax/pytests/auto_llm_generated_pytests/test_new_tsdadg_pdf.py:173: ValueError", "failedSince" : 4, "flakyFailures" : [ ], "name" : "test_driver_f2py", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "FAILED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_new_tsdadg_pdf", "duration" : 3.972, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_driver_differentiable", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_no_dead_functions", "duration" : 6.492, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_no_dead_functions", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 1, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_no_dead_functions", "duration" : 8.432, "errorDetails" : "AssertionError: Dead (never-referenced) module-level private helpers found — remove them, or if intentional add to _ALLOW in this test:\u000a clubb_jax/src/CLUBB_core/tracer_numpy.py: _asarray\u000a clubb_jax/src/CLUBB_core/tracer_numpy.py: _safe_sqrt\u000aassert not ['clubb_jax/src/CLUBB_core/tracer_numpy.py: _asarray', 'clubb_jax/src/CLUBB_core/tracer_numpy.py: _safe_sqrt']", "errorStackTrace" : "def test_no_dead_private_helpers():\u000a dead = _dead_private_helpers()\u000a> assert not dead, (\u000a \"Dead (never-referenced) module-level private helpers found — remove them, or if intentional add to \"\u000a \"_ALLOW in this test:\\n \" + \"\\n \".join(sorted(dead)))\u000aE AssertionError: Dead (never-referenced) module-level private helpers found — remove them, or if intentional add to _ALLOW in this test:\u000aE clubb_jax/src/CLUBB_core/tracer_numpy.py: _asarray\u000aE clubb_jax/src/CLUBB_core/tracer_numpy.py: _safe_sqrt\u000aE assert not ['clubb_jax/src/CLUBB_core/tracer_numpy.py: _asarray', 'clubb_jax/src/CLUBB_core/tracer_numpy.py: _safe_sqrt']\u000a\u000aclubb_jax/pytests/auto_llm_generated_pytests/test_no_dead_functions.py:117: AssertionError", "failedSince" : 4, "flakyFailures" : [ ], "name" : "test_no_dead_private_helpers", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "FAILED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 1, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_no_dead_imports", "duration" : 2.29, "errorDetails" : "AssertionError: Dead (never-loaded) imports found — remove them, or if intentional (re-export / API-mirror / noqa) add to _ALLOW in this test:\u000a Microphys/advance_microphys_module.py: Cp\u000a SILHS/latin_hypercube_driver_module.py: define_importance_categories\u000a SILHS/silhs_api_module.py: silhs_config_flags_type\u000a SILHS/silhs_api_module.py: set_default_silhs_config_flags_api\u000a SILHS/silhs_api_module.py: initialize_silhs_config_flags_type_api\u000a SILHS/silhs_api_module.py: print_silhs_config_flags_api\u000a SILHS/silhs_api_module.py: latin_hypercube_2D_output_api\u000a SILHS/silhs_api_module.py: stats_accumulate_lh_api\u000a SILHS/silhs_api_module.py: est_kessler_microphys_api\u000a SILHS/silhs_api_module.py: lh_microphys_var_covar_driver_api\u000aassert not ['Microphys/advance_microphys_module.py: Cp', 'SILHS/latin_hypercube_driver_module.py: define_importance_categories', 'SILHS/silhs_api_module.py: silhs_config_flags_type', 'SILHS/silhs_api_module.py: set_default_silhs_config_flags_api', 'SILHS/silhs_api_module.py: initialize_silhs_config_flags_type_api', 'SILHS/silhs_api_module.py: print_silhs_config_flags_api', ...]", "errorStackTrace" : "def test_no_dead_imports():\u000a assert os.path.isdir(_SRC), f\"Required JAX source directory is missing: {_SRC}\"\u000a offenders = []\u000a for f in sorted(glob.glob(os.path.join(_SRC, \"**\", \"*.py\"), recursive=True)):\u000a base = os.path.basename(f)\u000a if base.startswith(\"__\"):\u000a continue\u000a for name in _dead_imports(f):\u000a if (base, name) in _ALLOW:\u000a continue\u000a offenders.append(f\"{f.split('/src/')[-1]}: {name}\")\u000a> assert not offenders, (\u000a \"Dead (never-loaded) imports found — remove them, or if intentional (re-export / API-mirror / noqa) \"\u000a \"add to _ALLOW in this test:\\n \" + \"\\n \".join(offenders))\u000aE AssertionError: Dead (never-loaded) imports found — remove them, or if intentional (re-export / API-mirror / noqa) add to _ALLOW in this test:\u000aE Microphys/advance_microphys_module.py: Cp\u000aE SILHS/latin_hypercube_driver_module.py: define_importance_categories\u000aE SILHS/silhs_api_module.py: silhs_config_flags_type\u000aE SILHS/silhs_api_module.py: set_default_silhs_config_flags_api\u000aE SILHS/silhs_api_module.py: initialize_silhs_config_flags_type_api\u000aE SILHS/silhs_api_module.py: print_silhs_config_flags_api\u000aE SILHS/silhs_api_module.py: latin_hypercube_2D_output_api\u000aE SILHS/silhs_api_module.py: stats_accumulate_lh_api\u000aE SILHS/silhs_api_module.py: est_kessler_microphys_api\u000aE SILHS/silhs_api_module.py: lh_microphys_var_covar_driver_api\u000aE assert not ['Microphys/advance_microphys_module.py: Cp', 'SILHS/latin_hypercube_driver_module.py: define_importance_categories', 'SILHS/silhs_api_module.py: silhs_config_flags_type', 'SILHS/silhs_api_module.py: set_default_silhs_config_flags_api', 'SILHS/silhs_api_module.py: initialize_silhs_config_flags_type_api', 'SILHS/silhs_api_module.py: print_silhs_config_flags_api', ...]\u000a\u000aclubb_jax/pytests/auto_llm_generated_pytests/test_no_dead_imports.py:57: AssertionError", "failedSince" : 4, "flakyFailures" : [ ], "name" : "test_no_dead_imports", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "FAILED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_no_dead_imports", "duration" : 1.284, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_src_has_no_fortran_runtime_import", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_nov11", "duration" : 0.215, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_nov11_adjustment_is_jittable_and_preserves_dtype", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_numerical_check_setters", "duration" : 0.001, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_check_negative", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_numerical_check_setters", "duration" : 0.0, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 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The error was:\u000aE TypeError: unhashable type: 'jaxlib._jax.ArrayImpl'\u000a\u000aclubb_jax/pytests/auto_llm_generated_pytests/test_pos_definite.py:55: ValueError", "failedSince" : 4, "flakyFailures" : [ ], "name" : "test_conservation", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "FAILED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 1, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_pos_definite", "duration" : 0.084, "errorDetails" : "ValueError: Non-hashable static arguments are not supported. 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The error was:\u000aTypeError: unhashable type: 'jaxlib._jax.ArrayImpl'", "errorStackTrace" : "def test_f2py_oracle():\u000a try:\u000a import clubb_f2py\u000a from clubb_python import clubb_api\u000a from clubb_python.derived_types.err_info import ErrInfo\u000a except ModuleNotFoundError as e:\u000a if (e.name or \"\").split(\".\")[0] not in {\"clubb_f2py\", \"clubb_python\", \"netCDF4\"}:\u000a raise\u000a pytest.skip(f\" f2py pos_definite oracle: SKIP ({type(e).__name__})\")\u000a jgr = setup_grid(ngrdcol=_NG, deltaz=_DZ, zm_init=0.0, zm_top=_ZTOP, grid_type=1)\u000a ng, nzm = jgr.zm.shape\u000a nzt = nzm - 1\u000a clubb_api.init_err_info(ng)\u000a cf = clubb_api.get_default_config_flags(); clubb_api.init_config_flags(cf)\u000a # Set the f2py stored_grid to EXACTLY the JAX grid's heights (grid_type=2 = explicit heights).\u000a clubb_api.setup_grid(nzmax=nzm, ngrdcol=ng, sfc_elevation=np.zeros(ng),\u000a l_implemented=False, l_ascending_grid=True, grid_type=2,\u000a deltaz=np.full(ng, _DZ), zm_init=np.zeros(ng), zm_top=np.full(ng, float(jgr.zm[0, -1])),\u000a momentum_heights=np.asfortranarray(np.asarray(jgr.zm)),\u000a thermodynamic_heights=np.asfortranarray(np.asarray(jgr.zt)),\u000a err_info=ErrInfo(ngrdcol=ng))\u000a field_np1, flux_np1, field_n = _make_inputs(jgr)\u000a f_field, f_flux, f_field_pd, f_flux_pd = clubb_f2py.f2py_pos_definite_adj(\u000a _DT, field_np1.copy(), flux_np1.copy(), field_n.copy())\u000a> j_field, j_flux, j_field_pd, j_flux_pd = pos_definite_adj(jgr, _DT, field_np1, flux_np1, field_n)\u000a ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u000aE ValueError: Non-hashable static arguments are not supported. 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dzm=Array([[40., 40., 40., 40., 40., 40., 40., 40., 40., 40., 40., 40., 40.,\u000aE 40., 40., 40., 40., 40., 40., 40., 40., 40., 40., 40., 40., 40.,\u000aE 40., 40., 40., 40., 40.],\u000aE [40., 40., 40., 40., 40., 40., 40., 40., 40., 40., 40., 40., 40.,\u000aE 40., 40., 40., 40., 40., 40., 40., 40., 40., 40., 40., 40., 40.,\u000aE 40., 40., 40., 40., 40.]], dtype=float64), dzt=Array([[40., 40., 40., 40., 40., 40., 40., 40., 40., 40., 40., 40., 40.,\u000aE 40., 40., 40., 40., 40., 40., 40., 40., 40., 40., 40., 40., 40.,\u000aE 40., 40., 40., 40.],\u000aE [40., 40., 40., 40., 40., 40., 40., 40., 40., 40., 40., 40., 40.,\u000aE 40., 40., 40., 40., 40., 40., 40., 40., 40., 40., 40., 40., 40.,\u000aE 40., 40., 40., 40.]], dtype=float64), invrs_dzm=Array([[0.025, 0.025, 0.025, 0.025, 0.025, 0.025, 0.025, 0.025, 0.025,\u000aE 0.025, 0.025, 0.025, 0.025, 0.025, 0.025, 0.025, 0.025, 0.025,\u000aE 0.025, 0.025, 0.025, 0.025, 0.025, 0.025, 0.025, 0.025, 0.025,\u000aE 0.025, 0.025, 0.025, 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The error was:\u000aE TypeError: unhashable type: 'jaxlib._jax.ArrayImpl'\u000a\u000aclubb_jax/pytests/auto_llm_generated_pytests/test_pos_definite.py:91: ValueError", "failedSince" : 4, "flakyFailures" : [ ], "name" : "test_f2py_oracle", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "FAILED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 1, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_pos_definite", "duration" : 0.077, "errorDetails" : "ValueError: Non-hashable static arguments are not supported. An error occurred while trying to hash an object of type , Grid(nzm=31, nzt=30, ngrdcol=1, zm=Array([[ 0., 40., 80., 120., 160., 200., 240., 280., 320.,\u000a 360., 400., 440., 480., 520., 560., 600., 640., 680.,\u000a 720., 760., 800., 840., 880., 920., 960., 1000., 1040.,\u000a 1080., 1120., 1160., 1200.]], dtype=float64), zt=Array([[ 20., 60., 100., 140., 180., 220., 260., 300., 340.,\u000a 380., 420., 460., 500., 540., 580., 620., 660., 700.,\u000a 740., 780., 820., 860., 900., 940., 980., 1020., 1060.,\u000a 1100., 1140., 1180.]], dtype=float64), dzm=Array([[40., 40., 40., 40., 40., 40., 40., 40., 40., 40., 40., 40., 40.,\u000a 40., 40., 40., 40., 40., 40., 40., 40., 40., 40., 40., 40., 40.,\u000a 40., 40., 40., 40., 40.]], dtype=float64), dzt=Array([[40., 40., 40., 40., 40., 40., 40., 40., 40., 40., 40., 40., 40.,\u000a 40., 40., 40., 40., 40., 40., 40., 40., 40., 40., 40., 40., 40.,\u000a 40., 40., 40., 40.]], dtype=float64), invrs_dzm=Array([[0.025, 0.025, 0.025, 0.025, 0.025, 0.025, 0.025, 0.025, 0.025,\u000a 0.025, 0.025, 0.025, 0.025, 0.025, 0.025, 0.025, 0.025, 0.025,\u000a 0.025, 0.025, 0.025, 0.025, 0.025, 0.025, 0.025, 0.025, 0.025,\u000a 0.025, 0.025, 0.025, 0.025]], dtype=float64), invrs_dzt=Array([[0.025, 0.025, 0.025, 0.025, 0.025, 0.025, 0.025, 0.025, 0.025,\u000a 0.025, 0.025, 0.025, 0.025, 0.025, 0.025, 0.025, 0.025, 0.025,\u000a 0.025, 0.025, 0.025, 0.025, 0.025, 0.025, 0.025, 0.025, 0.025,\u000a 0.025, 0.025, 0.025]], dtype=float64), weights_zt2zm=Array([[[-0.5, 1.5],\u000a [ 0.5, 0.5],\u000a [ 0.5, 0.5],\u000a [ 0.5, 0.5],\u000a [ 0.5, 0.5],\u000a [ 0.5, 0.5],\u000a [ 0.5, 0.5],\u000a [ 0.5, 0.5],\u000a [ 0.5, 0.5],\u000a [ 0.5, 0.5],\u000a [ 0.5, 0.5],\u000a [ 0.5, 0.5],\u000a [ 0.5, 0.5],\u000a [ 0.5, 0.5],\u000a [ 0.5, 0.5],\u000a [ 0.5, 0.5],\u000a [ 0.5, 0.5],\u000a [ 0.5, 0.5],\u000a [ 0.5, 0.5],\u000a [ 0.5, 0.5],\u000a [ 0.5, 0.5],\u000a [ 0.5, 0.5],\u000a [ 0.5, 0.5],\u000a [ 0.5, 0.5],\u000a [ 0.5, 0.5],\u000a [ 0.5, 0.5],\u000a [ 0.5, 0.5],\u000a [ 0.5, 0.5],\u000a [ 0.5, 0.5],\u000a [ 0.5, 0.5],\u000a [ 1.5, -0.5]]], dtype=float64), weights_zm2zt=Array([[[0.5, 0.5],\u000a [0.5, 0.5],\u000a [0.5, 0.5],\u000a [0.5, 0.5],\u000a [0.5, 0.5],\u000a [0.5, 0.5],\u000a [0.5, 0.5],\u000a [0.5, 0.5],\u000a [0.5, 0.5],\u000a [0.5, 0.5],\u000a [0.5, 0.5],\u000a [0.5, 0.5],\u000a [0.5, 0.5],\u000a [0.5, 0.5],\u000a [0.5, 0.5],\u000a [0.5, 0.5],\u000a [0.5, 0.5],\u000a [0.5, 0.5],\u000a [0.5, 0.5],\u000a [0.5, 0.5],\u000a [0.5, 0.5],\u000a [0.5, 0.5],\u000a [0.5, 0.5],\u000a [0.5, 0.5],\u000a [0.5, 0.5],\u000a [0.5, 0.5],\u000a [0.5, 0.5],\u000a [0.5, 0.5],\u000a [0.5, 0.5],\u000a [0.5, 0.5]]], dtype=float64), k_lb_zm=0, k_ub_zm=30, k_lb_zt=0, k_ub_zt=29, grid_dir_indx=1, grid_dir=1.0). The error was:\u000aTypeError: unhashable type: 'jaxlib._jax.ArrayImpl'\u000a\u000a--------------------\u000aFor simplicity, JAX has removed its internal frames from the traceback of the following exception. Set JAX_TRACEBACK_FILTERING=off to include these.", "errorStackTrace" : "def test_differentiable():\u000a jgr = setup_grid(ngrdcol=1, deltaz=_DZ, zm_init=0.0, zm_top=_ZTOP, grid_type=1)\u000a nzm = jgr.zm.shape[1]; nzt = nzm - 1\u000a flux = jnp.asarray(np.random.default_rng(1).standard_normal((1, nzm)) * 1e-3)\u000a field_n = jnp.asarray(np.abs(np.random.default_rng(2).standard_normal((1, nzt))) * 1e-2)\u000a def loss(field_np1):\u000a out, _, _, _ = pos_definite_adj(jgr, _DT, field_np1, flux, field_n)\u000a return jnp.sum(out ** 2)\u000a> g = np.asarray(jax.grad(loss)(field_n)) # field_np1 = field_n (no negatives) baseline\u000a ^^^^^^^^^^^^^^^^^^^^^^^\u000a\u000aclubb_jax/pytests/auto_llm_generated_pytests/test_pos_definite.py:110: \u000a_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \u000a\u000afield_np1 = GradTracer(primal=[[0.00189053 0.00522748 0.00413064 0.02441467 0.01799707 0.01144166\u000a 0.00325423 0.00773807 0.002812...0.00330571 0.00410504\u000a 0.01010758 0.00783181 0.02056703 0.01638443 0.01729411 0.01504831]], typeof(tangent)=f64[1,30])\u000a\u000a def loss(field_np1):\u000a> out, _, _, _ = pos_definite_adj(jgr, _DT, field_np1, flux, field_n)\u000a ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u000aE ValueError: Non-hashable static arguments are not supported. An error occurred while trying to hash an object of type , Grid(nzm=31, nzt=30, ngrdcol=1, zm=Array([[ 0., 40., 80., 120., 160., 200., 240., 280., 320.,\u000aE 360., 400., 440., 480., 520., 560., 600., 640., 680.,\u000aE 720., 760., 800., 840., 880., 920., 960., 1000., 1040.,\u000aE 1080., 1120., 1160., 1200.]], dtype=float64), zt=Array([[ 20., 60., 100., 140., 180., 220., 260., 300., 340.,\u000aE 380., 420., 460., 500., 540., 580., 620., 660., 700.,\u000aE 740., 780., 820., 860., 900., 940., 980., 1020., 1060.,\u000aE 1100., 1140., 1180.]], dtype=float64), dzm=Array([[40., 40., 40., 40., 40., 40., 40., 40., 40., 40., 40., 40., 40.,\u000aE 40., 40., 40., 40., 40., 40., 40., 40., 40., 40., 40., 40., 40.,\u000aE 40., 40., 40., 40., 40.]], dtype=float64), dzt=Array([[40., 40., 40., 40., 40., 40., 40., 40., 40., 40., 40., 40., 40.,\u000aE 40., 40., 40., 40., 40., 40., 40., 40., 40., 40., 40., 40., 40.,\u000aE 40., 40., 40., 40.]], dtype=float64), invrs_dzm=Array([[0.025, 0.025, 0.025, 0.025, 0.025, 0.025, 0.025, 0.025, 0.025,\u000aE 0.025, 0.025, 0.025, 0.025, 0.025, 0.025, 0.025, 0.025, 0.025,\u000aE 0.025, 0.025, 0.025, 0.025, 0.025, 0.025, 0.025, 0.025, 0.025,\u000aE 0.025, 0.025, 0.025, 0.025]], dtype=float64), invrs_dzt=Array([[0.025, 0.025, 0.025, 0.025, 0.025, 0.025, 0.025, 0.025, 0.025,\u000aE 0.025, 0.025, 0.025, 0.025, 0.025, 0.025, 0.025, 0.025, 0.025,\u000aE 0.025, 0.025, 0.025, 0.025, 0.025, 0.025, 0.025, 0.025, 0.025,\u000aE 0.025, 0.025, 0.025]], dtype=float64), weights_zt2zm=Array([[[-0.5, 1.5],\u000aE [ 0.5, 0.5],\u000aE [ 0.5, 0.5],\u000aE [ 0.5, 0.5],\u000aE [ 0.5, 0.5],\u000aE [ 0.5, 0.5],\u000aE [ 0.5, 0.5],\u000aE [ 0.5, 0.5],\u000aE [ 0.5, 0.5],\u000aE [ 0.5, 0.5],\u000aE [ 0.5, 0.5],\u000aE [ 0.5, 0.5],\u000aE [ 0.5, 0.5],\u000aE [ 0.5, 0.5],\u000aE [ 0.5, 0.5],\u000aE [ 0.5, 0.5],\u000aE [ 0.5, 0.5],\u000aE [ 0.5, 0.5],\u000aE [ 0.5, 0.5],\u000aE [ 0.5, 0.5],\u000aE [ 0.5, 0.5],\u000aE [ 0.5, 0.5],\u000aE [ 0.5, 0.5],\u000aE [ 0.5, 0.5],\u000aE [ 0.5, 0.5],\u000aE [ 0.5, 0.5],\u000aE [ 0.5, 0.5],\u000aE [ 0.5, 0.5],\u000aE [ 0.5, 0.5],\u000aE [ 0.5, 0.5],\u000aE [ 1.5, -0.5]]], dtype=float64), weights_zm2zt=Array([[[0.5, 0.5],\u000aE [0.5, 0.5],\u000aE [0.5, 0.5],\u000aE [0.5, 0.5],\u000aE [0.5, 0.5],\u000aE [0.5, 0.5],\u000aE [0.5, 0.5],\u000aE [0.5, 0.5],\u000aE [0.5, 0.5],\u000aE [0.5, 0.5],\u000aE [0.5, 0.5],\u000aE [0.5, 0.5],\u000aE [0.5, 0.5],\u000aE [0.5, 0.5],\u000aE [0.5, 0.5],\u000aE [0.5, 0.5],\u000aE [0.5, 0.5],\u000aE [0.5, 0.5],\u000aE [0.5, 0.5],\u000aE [0.5, 0.5],\u000aE [0.5, 0.5],\u000aE [0.5, 0.5],\u000aE [0.5, 0.5],\u000aE [0.5, 0.5],\u000aE [0.5, 0.5],\u000aE [0.5, 0.5],\u000aE [0.5, 0.5],\u000aE [0.5, 0.5],\u000aE [0.5, 0.5],\u000aE [0.5, 0.5]]], dtype=float64), k_lb_zm=0, k_ub_zm=30, k_lb_zt=0, k_ub_zt=29, grid_dir_indx=1, grid_dir=1.0). The error was:\u000aE TypeError: unhashable type: 'jaxlib._jax.ArrayImpl'\u000aE \u000aE --------------------\u000aE For simplicity, JAX has removed its internal frames from the traceback of the following exception. Set JAX_TRACEBACK_FILTERING=off to include these.\u000a\u000aclubb_jax/pytests/auto_llm_generated_pytests/test_pos_definite.py:108: ValueError", "failedSince" : 4, "flakyFailures" : [ ], "name" : "test_differentiable", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "FAILED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_precip_fraction", "duration" : 2.504, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_precip_frac_assert_check", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_pressure_coord_forcing", "duration" : 0.368, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_pressure_coordinate_interp", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_pressure_coord_forcing", "duration" : 0.184, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_height_coordinate_interp_is_independent_of_pressure", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_pressure_coord_forcing", "duration" : 0.99, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_apply_temperature_forcing_converts_to_thlm", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_pressure_coord_forcing", "duration" : 0.531, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_unknown_forcing_name_is_rejected", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_pressure_sounding_z", "duration" : 2.108, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_real_cgils_sounding", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_pressure_sounding_z", "duration" : 1.576, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_temperature_branch_independent", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_pressure_sounding_z", "duration" : 1.431, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_hydrostatic_roundtrip", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 1, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_pvertinterp", "duration" : 0.178, "errorDetails" : "TypeError: pvertinterp() missing 3 required positional arguments: 'p_mid', 'p_out', and 'input_var'", "errorStackTrace" : "def test_f2py_oracle():\u000a try:\u000a import clubb_f2py\u000a from clubb_python import clubb_api\u000a from clubb_python.derived_types.err_info import ErrInfo\u000a except ModuleNotFoundError as e:\u000a if (e.name or \"\").split(\".\")[0] not in {\"clubb_f2py\", \"clubb_python\", \"netCDF4\"}:\u000a raise\u000a pytest.skip(f\" f2py pvertinterp oracle: SKIP ({type(e).__name__})\")\u000a jgr = setup_grid(ngrdcol=_NG, deltaz=_DZ, zm_init=0.0, zm_top=_ZTOP, grid_type=1)\u000a ng, nzm = jgr.zm.shape\u000a nzt = nzm - 1\u000a clubb_api.init_err_info(ng)\u000a cf = clubb_api.get_default_config_flags(); clubb_api.init_config_flags(cf)\u000a clubb_api.setup_grid(nzmax=nzm, ngrdcol=ng, sfc_elevation=np.zeros(ng),\u000a l_implemented=False, l_ascending_grid=True, grid_type=2,\u000a deltaz=np.full(ng, _DZ), zm_init=np.zeros(ng), zm_top=np.full(ng, float(jgr.zm[0, -1])),\u000a momentum_heights=np.asfortranarray(np.asarray(jgr.zm)),\u000a thermodynamic_heights=np.asfortranarray(np.asarray(jgr.zt)),\u000a err_info=ErrInfo(ngrdcol=ng))\u000a rng = np.random.default_rng(4)\u000a p_mid = np.asfortranarray(_p_profile(nzt))\u000a input_var = np.asfortranarray(rng.standard_normal((ng, nzt)))\u000a worst = 0.0\u000a # An interior pressure, plus targets outside both ends (exercise the clamp branches).\u000a for p_out in (95000.0, 88000.0, 101000.0, 80000.0):\u000a ref = np.asarray(clubb_f2py.f2py_pvertinterp(p_mid.copy(), float(p_out), input_var.copy()))\u000a> got = np.asarray(pvertinterp(p_mid, p_out, input_var))\u000a ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u000aE TypeError: pvertinterp() missing 3 required positional arguments: 'p_mid', 'p_out', and 'input_var'\u000a\u000aclubb_jax/pytests/auto_llm_generated_pytests/test_pvertinterp.py:67: TypeError", "failedSince" : 4, "flakyFailures" : [ ], "name" : "test_f2py_oracle", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "FAILED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 1, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_pvertinterp", "duration" : 0.001, "errorDetails" : "TypeError: pvertinterp() missing 3 required positional arguments: 'p_mid', 'p_out', and 'input_var'", "errorStackTrace" : "def test_pressure_weighted_identity():\u000a nzt = 10\u000a p_mid = np.tile(np.linspace(100000.0, 80000.0, nzt)[::-1][None, :], (1, 1)).copy()\u000a # p_mid descending in k: index 0 = 100000, index nzt-1 = 80000.\u000a p_mid = np.linspace(100000.0, 80000.0, nzt)[None, :]\u000a input_var = np.random.default_rng(2).standard_normal((1, nzt))\u000a p_out = 91234.0\u000a> got = float(np.asarray(pvertinterp(p_mid, p_out, input_var))[0])\u000a ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u000aE TypeError: pvertinterp() missing 3 required positional arguments: 'p_mid', 'p_out', and 'input_var'\u000a\u000aclubb_jax/pytests/auto_llm_generated_pytests/test_pvertinterp.py:80: TypeError", "failedSince" : 4, "flakyFailures" : [ ], "name" : "test_pressure_weighted_identity", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "FAILED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 1, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_pvertinterp", "duration" : 0.02, "errorDetails" : "TypeError: pvertinterp() missing 3 required positional arguments: 'p_mid', 'p_out', and 'input_var'\u000a--------------------\u000aFor simplicity, JAX has removed its internal frames from the traceback of the following exception. Set JAX_TRACEBACK_FILTERING=off to include these.", "errorStackTrace" : "def test_differentiable():\u000a nzt = 12\u000a p_mid = jnp.asarray(np.linspace(100000.0, 80000.0, nzt)[None, :])\u000a def loss(v):\u000a return jnp.sum(pvertinterp(p_mid, 90000.0, v) ** 2)\u000a> g = np.asarray(jax.grad(loss)(jnp.asarray(np.random.default_rng(1).standard_normal((1, nzt)))))\u000a ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u000a\u000aclubb_jax/pytests/auto_llm_generated_pytests/test_pvertinterp.py:95: \u000a_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \u000a\u000av = GradTracer(primal=[[ 0.34558419 0.82161814 0.33043708 -1.30315723 0.90535587 0.44637457\u000a -0.53695324 0.5811181 0.3645724 0.2941325 0.02842224 0.54671299]], typeof(tangent)=f64[1,12])\u000a\u000a def loss(v):\u000a> return jnp.sum(pvertinterp(p_mid, 90000.0, v) ** 2)\u000a ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u000aE TypeError: pvertinterp() missing 3 required positional arguments: 'p_mid', 'p_out', and 'input_var'\u000aE --------------------\u000aE For simplicity, JAX has removed its internal frames from the traceback of the following exception. Set JAX_TRACEBACK_FILTERING=off to include these.\u000a\u000aclubb_jax/pytests/auto_llm_generated_pytests/test_pvertinterp.py:94: TypeError", "failedSince" : 4, "flakyFailures" : [ ], "name" : "test_differentiable", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "FAILED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_quadrivar_NNLL_covar_eq_swap", "duration" : 2.472, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_base_all_vary", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_quadrivar_NNLL_covar_eq_swap", "duration" : 0.031, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, 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saturation_formula.\"\"\"\u000a T = jnp.linspace(220.0, 310.0, 64)\u000a for formula, leaf in ((SATURATION_FLATAU, sat_vapor_press_liq_flatau),\u000a (SATURATION_BOLTON, sat_vapor_press_liq_bolton)):\u000a d = float(jnp.max(jnp.abs(sat_vapor_press_liq(T, formula) - leaf(T))))\u000a assert d == 0.0, f\"formula {formula}: dispatcher != leaf ({d})\"\u000a # The documented not-target formulas (saturation.py: gfdl/lookup) must raise — pin the SPECIFIC\u000a # constants_clubb codes (gfdl=2, lookup=4), not just a generic out-of-range value, so a future change\u000a # that silently routes them somewhere is caught (mirrors saturation.F90's gfdl/lookup leaves being unported).\u000a from clubb_jax.src.CLUBB_core.model_flags import saturation_gfdl, saturation_lookup\u000a for bad in (saturation_gfdl, saturation_lookup, 999):\u000a try:\u000a sat_vapor_press_liq(T, bad)\u000a except ValueError:\u000a pass\u000a else:\u000a> raise AssertionError(f\"unsupported saturation_formula={bad} should raise ValueError\")\u000aE AssertionError: unsupported saturation_formula=2 should raise ValueError\u000a\u000aclubb_jax/pytests/auto_llm_generated_pytests/test_saturation.py:54: AssertionError", "failedSince" : 4, "flakyFailures" : [ ], "name" : "test_dispatcher_matches_leaves", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "FAILED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_saturation", "duration" : 1.164, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_svp_reference_values", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_saturation", "duration" : 2.988, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_sat_mixrat_liq_consistency_and_grad", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_saturation", "duration" : 0.803, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_sat_mixrat_f2py", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_saturation", "duration" : 0.002, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_saturation_formula_enum_values", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 1, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_set_sfc_value_of_flux_profiles", "duration" : 0.09, "errorDetails" : "AttributeError: 'bool' object has no attribute 'k_lb_zm'", "errorStackTrace" : "def test_against_transcription():\u000a gr = setup_grid(ngrdcol=2, deltaz=40.0, zm_init=0.0, zm_top=400.0, grid_type=1)\u000a ng, nzm = gr.zm.shape\u000a k_lb = int(gr.k_lb_zm)\u000a rng = np.random.default_rng(7)\u000a combos = [\u000a dict(l_host=False, l_lin=False, sclr_dim=0, edsclr_dim=0),\u000a dict(l_host=False, l_lin=True, sclr_dim=2, edsclr_dim=3),\u000a dict(l_host=True, l_lin=False, sclr_dim=2, edsclr_dim=3),\u000a dict(l_host=True, l_lin=True, sclr_dim=0, edsclr_dim=0),\u000a dict(l_host=False, l_lin=False, sclr_dim=1, edsclr_dim=0),\u000a ]\u000a worst = 0.0\u000a for c in combos:\u000a sclr_dim, edsclr_dim = c[\"sclr_dim\"], c[\"edsclr_dim\"]\u000a # random nonzero interior profiles (so interior preservation is actually exercised)\u000a prof = dict(\u000a wpthlp=rng.standard_normal((ng, nzm)), wprtp=rng.standard_normal((ng, nzm)),\u000a upwp=rng.standard_normal((ng, nzm)), vpwp=rng.standard_normal((ng, nzm)),\u000a upwp_pert=rng.standard_normal((ng, nzm)), vpwp_pert=rng.standard_normal((ng, nzm)),\u000a wpsclrp=rng.standard_normal((ng, nzm, sclr_dim)),\u000a wpedsclrp=rng.standard_normal((ng, nzm, max(edsclr_dim, 1))),\u000a )\u000a sfc = dict(\u000a wpthlp=rng.standard_normal(ng), wprtp=rng.standard_normal(ng),\u000a upwp=rng.standard_normal(ng), vpwp=rng.standard_normal(ng),\u000a upwp_pert=rng.standard_normal(ng), vpwp_pert=rng.standard_normal(ng),\u000a wpsclrp=rng.standard_normal((ng, sclr_dim)),\u000a wpedsclrp=rng.standard_normal((ng, edsclr_dim)),\u000a )\u000a ref = _ref(k_lb, ng, nzm, sclr_dim, edsclr_dim, c[\"l_host\"], c[\"l_lin\"], sfc, prof)\u000a> jout = set_sfc_value_of_flux_profiles(\u000a sclr_dim, edsclr_dim, gr, c[\"l_host\"], c[\"l_lin\"],\u000a sfc[\"wpthlp\"], sfc[\"wprtp\"], sfc[\"upwp\"], sfc[\"vpwp\"], sfc[\"upwp_pert\"], sfc[\"vpwp_pert\"],\u000a sfc[\"wpsclrp\"], sfc[\"wpedsclrp\"],\u000a prof[\"wpthlp\"], prof[\"wprtp\"], prof[\"upwp\"], prof[\"vpwp\"],\u000a prof[\"upwp_pert\"], prof[\"vpwp_pert\"], prof[\"wpsclrp\"], prof[\"wpedsclrp\"],\u000a ng, nzm)\u000a\u000aclubb_jax/pytests/auto_llm_generated_pytests/test_set_sfc_value_of_flux_profiles.py:84: \u000a_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \u000a\u000anzm = 0, ngrdcol = 0\u000asclr_dim = Grid(nzm=11, nzt=10, ngrdcol=2, zm=Array([[ 0., 40., 80., 120., 160., 200., 240., 280., 320., 360., 400.],\u000a [...0.5],\u000a [0.5, 0.5]]], dtype=float64), k_lb_zm=0, k_ub_zm=10, k_lb_zt=0, k_ub_zt=9, grid_dir_indx=1, grid_dir=1.0)\u000aedsclr_dim = False, gr = False\u000al_host_applies_sfc_fluxes = array([-0.37526684, -0.29992172])\u000al_linearize_pbl_winds = array([-1.37857468, -0.80684593])\u000awpthlp_sfc = array([ 1.65405755, -0.67123322])\u000awprtp_sfc = array([-1.05409379, 0.33732633])\u000aupwp_sfc = array([ 1.4072722, -1.4540243])\u000avpwp_sfc = array([-0.20852185, -0.63205255])\u000aupwp_sfc_pert = array([], shape=(2, 0), dtype=float64)\u000avpwp_sfc_pert = array([], shape=(2, 0), dtype=float64)\u000awpsclrp_sfc = array([[ 1.23015336e-03, 2.98745538e-01, -2.74137855e-01,\u000a -8.90591839e-01, -4.54670785e-01, -9.91646555e-01,\u000a...-1.34421455e+00,\u000a -4.57615761e-01, -1.90122274e+00, -1.28953774e+00,\u000a -1.84173504e+00, -2.35091131e-01]])\u000awpedsclrp_sfc = array([[-1.26744648, 0.27126436, 0.15675109, -0.18693094, -2.51675971,\u000a -0.5386929 , -0.04850095, 0.11330899....0325217 , 0.88438987,\u000a -0.58360043, -0.11170195, 0.11046414, 0.06378177, -1.22505583,\u000a 0.07614023]])\u000awpthlp = array([[ 1.35882342, -1.54714468, 0.85938269, 0.11935403, -0.64147039,\u000a 2.00041655, 0.76225971, -1.1992889 ....43852259, -0.67566225,\u000a 0.20313861, -0.46330758, 0.12726841, -1.18719453, -0.5793016 ,\u000a -0.19619597]])\u000awprtp = array([[ 0.89876387, 1.14522201, -1.32352779, -0.79464237, 0.64690342,\u000a -1.99241978, -0.46316986, -0.09728693....42802494, -0.30368039,\u000a 0.35258907, -0.12077045, -0.19728423, -1.11406714, -0.01152147,\u000a -0.44358122]])\u000aupwp = array([[ 1.16612778, 0.6530885 , -0.02414361, 0.66838102, -0.33986955,\u000a 1.05212636, -0.00539956, 0.58338235....1640528 , 2.24475663,\u000a -0.83172318, -0.62394359, 0.20540395, 0.49301329, -0.17640607,\u000a -0.20593033]])\u000avpwp = array([[ 0.70246296, 0.51990764, -1.03367583, -0.07918132, 0.03528685,\u000a -1.05448462, 0.2598391 , -0.85795648....13140747, 0.3628398 ,\u000a -2.12856704, 0.84660852, -1.74609648, 0.7567385 , -0.84549703,\u000a 0.77899108]])\u000aupwp_pert = array([], shape=(2, 11, 0), dtype=float64)\u000avpwp_pert = array([[[ 0.13095121],\u000a [-1.53683494],\u000a [ 1.24914875],\u000a [ 1.44170716],\u000a [-0.06580491],\u000a ...],\u000a [ 0.0133246 ],\u000a [-0.69440353],\u000a [-0.32668526],\u000a [-0.56023105],\u000a [ 0.0079591 ]]])\u000awpsclrp = 2, wpedsclrp = 11\u000a\u000a def set_sfc_value_of_flux_profiles(\u000a nzm,\u000a ngrdcol,\u000a sclr_dim,\u000a edsclr_dim,\u000a gr,\u000a l_host_applies_sfc_fluxes,\u000a l_linearize_pbl_winds,\u000a wpthlp_sfc,\u000a wprtp_sfc,\u000a upwp_sfc,\u000a vpwp_sfc,\u000a upwp_sfc_pert,\u000a vpwp_sfc_pert,\u000a wpsclrp_sfc,\u000a wpedsclrp_sfc,\u000a wpthlp,\u000a wprtp,\u000a upwp,\u000a vpwp,\u000a upwp_pert,\u000a vpwp_pert,\u000a wpsclrp,\u000a wpedsclrp,\u000a ):\u000a \"\"\"Set or clear the surface values of turbulent flux profiles depending on\u000a whether the host model applies surface fluxes outside CLUBB.\u000a \u000a References:\u000a None\u000a \"\"\"\u000a> k_lb = gr.k_lb_zm\u000a ^^^^^^^^^^\u000aE AttributeError: 'bool' object has no attribute 'k_lb_zm'\u000a\u000aclubb_jax/src/CLUBB_core/advance_clubb_core_module.py:1005: AttributeError", "failedSince" : 4, "flakyFailures" : [ ], "name" : "test_against_transcription", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "FAILED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 1, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_setter_var_params", "duration" : 0.001, "errorDetails" : "ValueError: too many axes: 2 (effrank=2), expected rank=1", "errorStackTrace" : "def test_f2py_oracle():\u000a try:\u000a import clubb_f2py\u000a except ModuleNotFoundError as e:\u000a if (e.name or \"\").split(\".\")[0] not in {\"clubb_f2py\", \"clubb_python\", \"netCDF4\"}:\u000a raise\u000a pytest.skip(f\" f2py calc_setter_var_params oracle: SKIP ({type(e).__name__})\")\u000a worst = 0.0\u000a for seed in (11, 22, 33):\u000a xm, xp2, Skx, sgn, F_x, zeta = _inputs(seed)\u000a> f = clubb_f2py.f2py_calc_setter_var_params(xm, xp2, Skx, sgn, F_x, zeta)\u000a ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u000aE ValueError: too many axes: 2 (effrank=2), expected rank=1\u000a\u000aclubb_jax/pytests/auto_llm_generated_pytests/test_setter_var_params.py:53: ValueError", "failedSince" : 4, "flakyFailures" : [ ], "name" : "test_f2py_oracle", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "FAILED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_setter_var_params", "duration" : 0.967, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_moment_reconstruction", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_setter_var_params", "duration" : 2.255, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_differentiable", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_sfc_flux", "duration" : 0.257, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_conversions_and_bulk_fluxes", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_sfc_flux", "duration" : 0.11, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_ubar_and_momentum", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_sfc_flux", "duration" : 0.278, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_ht_mostr_flux_interp", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_sfc_flux", "duration" : 0.304, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_set_scalar_surface_fluxes_updates_surface_arrays_only", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_sfc_flux", "duration" : 0.206, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_shared_surface_flux_path_jits_and_stays_on_device", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 1, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_sfc_varnce", "duration" : 0.219, "errorDetails" : "ValueError: Non-hashable static arguments are not supported. An error occurred while trying to hash an object of type , [-0.04767757 -0.04030177]. The error was:\u000aTypeError: unhashable type: 'jaxlib._jax.ArrayImpl'", "errorStackTrace" : "def test_f2py_oracle():\u000a try:\u000a clubb_f2py, jgr, ng, nzm = _setup_f2py_grid()\u000a except ModuleNotFoundError as e:\u000a if (e.name or \"\").split(\".\")[0] not in {\"clubb_f2py\", \"clubb_python\", \"netCDF4\"}:\u000a raise\u000a pytest.skip(f\" f2py calc_sfc_varnce oracle: SKIP ({type(e).__name__})\")\u000a nzt = nzm - 1\u000a zm_sfc = np.asarray(jgr.zm)[:, 0]; sfce = np.zeros(ng)\u000a rng = np.random.default_rng(2)\u000a worst = 0.0\u000a for _ in range(20):\u000a upwp = rng.uniform(-0.1, 0.1, ng); vpwp = rng.uniform(-0.1, 0.1, ng)\u000a wpthlp = rng.uniform(-0.1, 0.1, (ng, nzm)); wprtp = rng.uniform(-1e-4, 1e-4, ng)\u000a splat = rng.uniform(0.0, 1e-3, (ng, nzm)); tau = rng.uniform(100.0, 1000.0, (ng, nzm))\u000a T0 = 300.0; up2c = np.full(ng, 2.0); ac = np.full(ng, 1.8)\u000a wp2 = rng.uniform(1e-2, 1, (ng, nzm)); up2 = rng.uniform(1e-2, 1, (ng, nzm)); vp2 = rng.uniform(1e-2, 1, (ng, nzm))\u000a thlp2 = rng.uniform(1e-3, 1, (ng, nzm)); rtp2 = rng.uniform(1e-7, 1e-5, (ng, nzm))\u000a rtpthlp = rng.uniform(-1e-3, 1e-3, (ng, nzm))\u000a> jr = calc_sfc_varnce(jnp.asarray(upwp), jnp.asarray(vpwp), jnp.asarray(wpthlp), jnp.asarray(wprtp),\u000a jnp.asarray(splat), jnp.asarray(tau), T0, jnp.asarray(up2c), jnp.asarray(ac), jnp.asarray(wp2),\u000a jnp.asarray(up2), jnp.asarray(vp2), jnp.asarray(thlp2), jnp.asarray(rtp2), jnp.asarray(rtpthlp),\u000a jnp.asarray(zm_sfc), jnp.asarray(sfce))\u000aE ValueError: Non-hashable static arguments are not supported. An error occurred while trying to hash an object of type , [-0.04767757 -0.04030177]. The error was:\u000aE TypeError: unhashable type: 'jaxlib._jax.ArrayImpl'\u000a\u000aclubb_jax/pytests/auto_llm_generated_pytests/test_sfc_varnce.py:67: ValueError", "failedSince" : 4, "flakyFailures" : [ ], "name" : "test_f2py_oracle", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "FAILED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_silhs_diagnostics", "duration" : 0.251, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_impossible_weight_transfer_reports_fatal_status[-1]", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_silhs_diagnostics", "duration" : 0.001, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_impossible_weight_transfer_reports_fatal_status[0]", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_silhs_diagnostics", "duration" : 0.001, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_impossible_weight_transfer_reports_fatal_status[2]", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_silhs_diagnostics", "duration" : 0.551, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : 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"age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_simple_rad_lba", "duration" : 0.38, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_time_interp_vs_literal", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_simple_rad_lba", "duration" : 0.555, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_full_radht_vs_literal", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_simple_rad_lba", "duration" : 0.568, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_differentiable", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 1, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_skx_func", "duration" : 0.001, "errorDetails" : "ValueError: Non-hashable static arguments are not supported. An error occurred while trying to hash an object of type , [[1.88611221 1.02265511 1.95248741 0.16167205 1.21471166 0.75297317]\u000a [1.60380241 0.34905563 1.74327055 1.0878828 1.80443016 0.95430705]]. The error was:\u000aTypeError: unhashable type: 'numpy.ndarray'", "errorStackTrace" : "def test_f2py_oracle():\u000a try:\u000a import clubb_f2py\u000a except ModuleNotFoundError as e:\u000a if (e.name or \"\").split(\".\")[0] not in {\"clubb_f2py\", \"clubb_python\", \"netCDF4\"}:\u000a raise\u000a pytest.skip(f\" f2py Skx_func oracle: SKIP ({type(e).__name__})\")\u000a rng = np.random.default_rng(4)\u000a params = _params()\u000a worst = 0.0\u000a for _ in range(10):\u000a xp2 = rng.uniform(0.0, 2.0, (NG, NZ))\u000a xp3 = rng.uniform(-1.0, 1.0, (NG, NZ))\u000a ref = np.asarray(clubb_f2py.f2py_skx_func(xp2, xp3, _X_TOL, params))\u000a> got = np.asarray(Skx_func(xp2, xp3, _X_TOL, params))\u000a ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u000aE ValueError: Non-hashable static arguments are not supported. An error occurred while trying to hash an object of type , [[1.88611221 1.02265511 1.95248741 0.16167205 1.21471166 0.75297317]\u000aE [1.60380241 0.34905563 1.74327055 1.0878828 1.80443016 0.95430705]]. The error was:\u000aE TypeError: unhashable type: 'numpy.ndarray'\u000a\u000aclubb_jax/pytests/auto_llm_generated_pytests/test_skx_func.py:59: ValueError", "failedSince" : 4, "flakyFailures" : [ ], "name" : "test_f2py_oracle", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "FAILED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 1, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_skx_func", "duration" : 0.001, "errorDetails" : "ValueError: Non-hashable static arguments are not supported. An error occurred while trying to hash an object of type , [[0.5 1. ]]. The error was:\u000aTypeError: unhashable type: 'numpy.ndarray'", "errorStackTrace" : "def test_closed_form():\u000a params = _params()\u000a xp2 = np.array([[0.5, 1.0]]); xp3 = np.array([[0.2, -0.3]])\u000a> got = np.asarray(Skx_func(xp2, xp3, _X_TOL, params))\u000a ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u000aE ValueError: Non-hashable static arguments are not supported. An error occurred while trying to hash an object of type , [[0.5 1. ]]. The error was:\u000aE TypeError: unhashable type: 'numpy.ndarray'\u000a\u000aclubb_jax/pytests/auto_llm_generated_pytests/test_skx_func.py:68: ValueError", "failedSince" : 4, "flakyFailures" : [ ], "name" : "test_closed_form", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "FAILED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 1, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_skx_func", "duration" : 0.054, "errorDetails" : "ValueError: Non-hashable static arguments are not supported. An error occurred while trying to hash an object of type , [[1.07246109 1.90588102 0.37390326 1.90243395 0.69247976 0.90432025]\u000a [1.67263493 0.87747836 1.14422801 0.15236232 1.53167491 1.1224723 ]]. The error was:\u000aTypeError: unhashable type: 'jaxlib._jax.ArrayImpl'\u000a\u000a--------------------\u000aFor simplicity, JAX has removed its internal frames from the traceback of the following exception. Set JAX_TRACEBACK_FILTERING=off to include these.", "errorStackTrace" : "def test_differentiable():\u000a params = _params()\u000a xp2 = jnp.asarray(np.random.default_rng(1).uniform(0.1, 2.0, (NG, NZ)))\u000a def loss(xp3):\u000a return jnp.sum(Skx_func(xp2, xp3, _X_TOL, params) ** 2)\u000a> g = np.asarray(jax.grad(loss)(jnp.asarray(np.random.default_rng(2).uniform(-1, 1, (NG, NZ)))))\u000a ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u000a\u000aclubb_jax/pytests/auto_llm_generated_pytests/test_skx_func.py:83: \u000a_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \u000a\u000axp3 = GradTracer(primal=[[-0.47677573 -0.40301771 0.62845148 -0.81616812 0.20020105 0.45712105]\u000a [-0.62419785 -0.88970675 -0.45006126 0.31486603 0.12453133 -0.69987547]], typeof(tangent)=f64[2,6])\u000a\u000a def loss(xp3):\u000a> return jnp.sum(Skx_func(xp2, xp3, _X_TOL, params) ** 2)\u000a ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u000aE ValueError: Non-hashable static arguments are not supported. An error occurred while trying to hash an object of type , [[1.07246109 1.90588102 0.37390326 1.90243395 0.69247976 0.90432025]\u000aE [1.67263493 0.87747836 1.14422801 0.15236232 1.53167491 1.1224723 ]]. The error was:\u000aE TypeError: unhashable type: 'jaxlib._jax.ArrayImpl'\u000aE \u000aE --------------------\u000aE For simplicity, JAX has removed its internal frames from the traceback of the following exception. Set JAX_TRACEBACK_FILTERING=off to include these.\u000a\u000aclubb_jax/pytests/auto_llm_generated_pytests/test_skx_func.py:82: ValueError", "failedSince" : 4, "flakyFailures" : [ ], "name" : "test_differentiable", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "FAILED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 1, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_skx_func", "duration" : 0.028, "errorDetails" : "ValueError: Non-hashable static arguments are not supported. An error occurred while trying to hash an object of type , [[-1.43032719 -1.20905314 1.88535444 -2.44850435 0.60060316 1.37136316]\u000a [-1.87259356 -2.66912024 -1.35018379 0.94459809 0.37359398 -2.09962642]]. The error was:\u000aTypeError: unhashable type: 'jaxlib._jax.ArrayImpl'", "errorStackTrace" : "def test_LG_2005_ansatz_f2py():\u000a \"\"\"LG_2005_ansatz (Skx_module.F90 — the Larson-Golaz 2005 skewness ansatz: Skx from Skw/wpxp/wp2/xp2/sigma_sqd_w/\u000a beta) and its wrapper xp3_LG_2005_ansatz vs the f2py oracle. Both previously untested. The ansatz's clip\u000a carries a ~1e-11 relative FP difference; checked with a relative tolerance. (iter 422)\"\"\"\u000a try:\u000a import clubb_f2py\u000a except ModuleNotFoundError as e:\u000a if (e.name or \"\").split(\".\")[0] not in {\"clubb_f2py\", \"clubb_python\", \"netCDF4\"}:\u000a raise\u000a pytest.skip(f\" f2py LG_2005_ansatz oracle: SKIP ({type(e).__name__})\")\u000a from clubb_jax.src.CLUBB_core.Skx_module import LG_2005_ansatz, xp3_LG_2005_ansatz\u000a from clubb_jax.src.CLUBB_core.parameter_indices import ibeta\u000a params = _params(); params[:, ibeta - 1] = 2.0 # f2py xp3 extracts beta from clubb_params; JAX takes it explicitly\u000a beta = np.ascontiguousarray(params[:, ibeta - 1])\u000a rng = np.random.default_rng(2)\u000a w_lg = w_xp3 = 0.0\u000a for _ in range(30):\u000a Skw = rng.uniform(-3, 3, (NG, NZ)); wpxp = rng.uniform(-1, 1, (NG, NZ))\u000a wp2 = rng.uniform(1e-2, 2, (NG, NZ)); xp2 = rng.uniform(1e-4, 1, (NG, NZ)); ssw = rng.uniform(0, 0.6, (NG, NZ))\u000a> jl = np.asarray(LG_2005_ansatz(jnp.asarray(Skw), jnp.asarray(wpxp), jnp.asarray(wp2), jnp.asarray(xp2),\u000a jnp.asarray(ssw), jnp.asarray(beta)[:, None], _X_TOL))\u000aE ValueError: Non-hashable static arguments are not supported. An error occurred while trying to hash an object of type , [[-1.43032719 -1.20905314 1.88535444 -2.44850435 0.60060316 1.37136316]\u000aE [-1.87259356 -2.66912024 -1.35018379 0.94459809 0.37359398 -2.09962642]]. The error was:\u000aE TypeError: unhashable type: 'jaxlib._jax.ArrayImpl'\u000a\u000aclubb_jax/pytests/auto_llm_generated_pytests/test_skx_func.py:107: ValueError", "failedSince" : 4, "flakyFailures" : [ ], "name" : "test_LG_2005_ansatz_f2py", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "FAILED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 1, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_smooth_heaviside", "duration" : 0.01, "errorDetails" : "ValueError: Non-hashable static arguments are not supported. An error occurred while trying to hash an object of type , [[ 1.59500198e+00 4.07791901e-02 1.71447734e+00 -1.50899031e+00\u000a 3.86480995e-01 -4.44648296e-01 1.08684435e+00 -1.17169986e+00\u000a 1.33788699e+00 1.58189043e-01 1.44797429e+00 -8.22473142e-02\u000a -2.50213400e-01 1.04020818e+00 1.74295080e+00 -4.68987146e-01\u000a 1.68815833e+00 1.54449500e+00 -1.16030669e+00 3.91865821e-01]\u000a [ 7.37513084e-01 1.59409324e+00 5.96366701e-01 -1.31977528e+00\u000a -7.67664437e-03 -2.29685978e-02 8.14281655e-04 1.65089623e+00\u000a -5.40225361e-01 -9.94423872e-01 7.95132080e-02 5.08215326e-01\u000a 1.58078539e+00 2.95256882e-01 -8.35799795e-01 1.54718890e+00\u000a -2.97889754e-02 6.32883114e-01 -8.62599223e-02 -1.01887190e+00]]. The error was:\u000aTypeError: unhashable type: 'numpy.ndarray'", "errorStackTrace" : "def test_f2py_is_truncated_constants():\u000a \"\"\"The f2py oracle == the truncated-constant closed form (1e-16); the full-pi JAX differs only by the\u000a documented constant-precision improvement (~1e-10).\"\"\"\u000a try:\u000a import clubb_f2py\u000a except ModuleNotFoundError as e:\u000a if (e.name or \"\").split(\".\")[0] not in {\"clubb_f2py\", \"clubb_python\", \"netCDF4\"}:\u000a raise\u000a pytest.skip(f\" f2py smooth_heaviside oracle: SKIP ({type(e).__name__})\")\u000a rng = np.random.default_rng(4)\u000a worst_trunc = 0.0\u000a worst_jax = 0.0\u000a for smth_range in (0.6, 1.0, 0.25):\u000a x = rng.uniform(-3 * smth_range, 3 * smth_range, (2, 20))\u000a ref = np.asarray(clubb_f2py.f2py_smooth_heaviside_peskin(np.asfortranarray(x), smth_range))\u000a worst_trunc = max(worst_trunc, np.max(np.abs(_trunc_ref(x, smth_range) - ref)))\u000a> worst_jax = max(worst_jax, np.max(np.abs(np.asarray(smooth_heaviside_peskin(x, smth_range)) - ref)))\u000a ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u000aE ValueError: Non-hashable static arguments are not supported. An error occurred while trying to hash an object of type , [[ 1.59500198e+00 4.07791901e-02 1.71447734e+00 -1.50899031e+00\u000aE 3.86480995e-01 -4.44648296e-01 1.08684435e+00 -1.17169986e+00\u000aE 1.33788699e+00 1.58189043e-01 1.44797429e+00 -8.22473142e-02\u000aE -2.50213400e-01 1.04020818e+00 1.74295080e+00 -4.68987146e-01\u000aE 1.68815833e+00 1.54449500e+00 -1.16030669e+00 3.91865821e-01]\u000aE [ 7.37513084e-01 1.59409324e+00 5.96366701e-01 -1.31977528e+00\u000aE -7.67664437e-03 -2.29685978e-02 8.14281655e-04 1.65089623e+00\u000aE -5.40225361e-01 -9.94423872e-01 7.95132080e-02 5.08215326e-01\u000aE 1.58078539e+00 2.95256882e-01 -8.35799795e-01 1.54718890e+00\u000aE -2.97889754e-02 6.32883114e-01 -8.62599223e-02 -1.01887190e+00]]. The error was:\u000aE TypeError: unhashable type: 'numpy.ndarray'\u000a\u000aclubb_jax/pytests/auto_llm_generated_pytests/test_smooth_heaviside.py:61: ValueError", "failedSince" : 4, "flakyFailures" : [ ], "name" : "test_f2py_is_truncated_constants", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "FAILED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 1, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_smooth_heaviside", "duration" : 0.001, "errorDetails" : "ValueError: Non-hashable static arguments are not supported. An error occurred while trying to hash an object of type , [-0.9 -0.855 -0.81 -0.765 -0.72 -0.675 -0.63 -0.585 -0.54 -0.495\u000a -0.45 -0.405 -0.36 -0.315 -0.27 -0.225 -0.18 -0.135 -0.09 -0.045\u000a 0. 0.045 0.09 0.135 0.18 0.225 0.27 0.315 0.36 0.405\u000a 0.45 0.495 0.54 0.585 0.63 0.675 0.72 0.765 0.81 0.855\u000a 0.9 ]. The error was:\u000aTypeError: unhashable type: 'numpy.ndarray'", "errorStackTrace" : "def test_full_pi_closed_form_and_endpoints():\u000a r = 0.6\u000a x = np.linspace(-1.5 * r, 1.5 * r, 41)\u000a> got = np.asarray(smooth_heaviside_peskin(x, r))\u000a ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u000aE ValueError: Non-hashable static arguments are not supported. An error occurred while trying to hash an object of type , [-0.9 -0.855 -0.81 -0.765 -0.72 -0.675 -0.63 -0.585 -0.54 -0.495\u000aE -0.45 -0.405 -0.36 -0.315 -0.27 -0.225 -0.18 -0.135 -0.09 -0.045\u000aE 0. 0.045 0.09 0.135 0.18 0.225 0.27 0.315 0.36 0.405\u000aE 0.45 0.495 0.54 0.585 0.63 0.675 0.72 0.765 0.81 0.855\u000aE 0.9 ]. The error was:\u000aE TypeError: unhashable type: 'numpy.ndarray'\u000a\u000aclubb_jax/pytests/auto_llm_generated_pytests/test_smooth_heaviside.py:72: ValueError", "failedSince" : 4, "flakyFailures" : [ ], "name" : "test_full_pi_closed_form_and_endpoints", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "FAILED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 1, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_smooth_heaviside", "duration" : 0.065, "errorDetails" : "ValueError: Non-hashable static arguments are not supported. An error occurred while trying to hash an object of type , GradTracer(primal=[-0.5 -0.4 -0.3 -0.2 -0.1 0. 0.1 0.2 0.3 0.4 0.5], typeof(tangent)=f64[11]). The error was:\u000aTypeError: unhashable type: 'LinearizeTracer'\u000a\u000a--------------------\u000aFor simplicity, JAX has removed its internal frames from the traceback of the following exception. Set JAX_TRACEBACK_FILTERING=off to include these.", "errorStackTrace" : "def test_differentiable():\u000a r = 0.6\u000a> g = np.asarray(jax.grad(lambda x: jnp.sum(smooth_heaviside_peskin(x, r) ** 2))(\u000a jnp.asarray(np.linspace(-0.5, 0.5, 11))))\u000a\u000aclubb_jax/pytests/auto_llm_generated_pytests/test_smooth_heaviside.py:84: \u000a_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \u000a\u000ax = GradTracer(primal=[-0.5 -0.4 -0.3 -0.2 -0.1 0. 0.1 0.2 0.3 0.4 0.5], typeof(tangent)=f64[11])\u000a\u000a> g = np.asarray(jax.grad(lambda x: jnp.sum(smooth_heaviside_peskin(x, r) ** 2))(\u000a ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u000a jnp.asarray(np.linspace(-0.5, 0.5, 11))))\u000aE ValueError: Non-hashable static arguments are not supported. An error occurred while trying to hash an object of type , GradTracer(primal=[-0.5 -0.4 -0.3 -0.2 -0.1 0. 0.1 0.2 0.3 0.4 0.5], typeof(tangent)=f64[11]). The error was:\u000aE TypeError: unhashable type: 'LinearizeTracer'\u000aE \u000aE --------------------\u000aE For simplicity, JAX has removed its internal frames from the traceback of the following exception. Set JAX_TRACEBACK_FILTERING=off to include these.\u000a\u000aclubb_jax/pytests/auto_llm_generated_pytests/test_smooth_heaviside.py:84: ValueError", "failedSince" : 4, "flakyFailures" : [ ], "name" : "test_differentiable", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "FAILED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_soil_vegetation", "duration" : 0.239, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_soil_veg_vs_fortran_replica", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_soil_vegetation", "duration" : 0.422, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_soil_veg_init_and_integration", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_soil_vegetation", "duration" : 0.769, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_soil_veg_differentiable", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_solver", "duration" : 0.375, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_solver_shape", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_solver", "duration" : 0.208, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_solver_diagonal", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_solver", "duration" : 0.173, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_solver_known_3x3", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_solver", "duration" : 0.202, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_solver_vs_numpy_single_col", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_solver", "duration" : 0.284, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_solver_vs_numpy_multi_col", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_solver", "duration" : 0.262, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_solver_residual", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_solver", "duration" : 0.207, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_solver_f2py_oracle", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_spec_hum_to_mixing_ratio", "duration" : 0.001, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_conversions", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_splatting_autodiff", "duration" : 0.811, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_clipped_frequency_has_zero_forward_and_reverse_derivatives[-0.0004-0.0]", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_splatting_autodiff", "duration" : 0.357, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_clipped_frequency_has_zero_forward_and_reverse_derivatives[-0.0004-0.25]", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_splatting_autodiff", "duration" : 0.381, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_clipped_frequency_has_zero_forward_and_reverse_derivatives[0.0-0.0]", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_splatting_autodiff", "duration" : 0.42, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_clipped_frequency_has_zero_forward_and_reverse_derivatives[0.0-0.25]", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_splatting_autodiff", "duration" : 5.487, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_mixed_columns_preserve_values_and_coefficient_sensitivity[0.0]", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_splatting_autodiff", "duration" : 0.505, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_mixed_columns_preserve_values_and_coefficient_sensitivity[0.25]", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 1, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_sponge_damp_xp23", "duration" : 0.182, "errorDetails" : "ValueError: too many axes: 2 (effrank=2), expected rank=1", "errorStackTrace" : "def test_f2py_oracle():\u000a try:\u000a import clubb_f2py\u000a from clubb_python import clubb_api\u000a from clubb_python.derived_types.err_info import ErrInfo\u000a except ModuleNotFoundError as e:\u000a if (e.name or \"\").split(\".\")[0] not in {\"clubb_f2py\", \"clubb_python\", \"netCDF4\"}:\u000a raise\u000a pytest.skip(f\" f2py sponge_damp_xp2/xp3 oracle: SKIP ({type(e).__name__})\")\u000a jgr = setup_grid(ngrdcol=_NG, deltaz=_DZ, zm_init=0.0, zm_top=_ZTOP, grid_type=1)\u000a ng, nzm = jgr.zm.shape\u000a nzt = nzm - 1\u000a clubb_api.init_err_info(ng)\u000a cf = clubb_api.get_default_config_flags(); clubb_api.init_config_flags(cf)\u000a clubb_api.setup_grid(nzmax=nzm, ngrdcol=ng, sfc_elevation=np.zeros(ng),\u000a l_implemented=False, l_ascending_grid=True, grid_type=2,\u000a deltaz=np.full(ng, _DZ), zm_init=np.zeros(ng), zm_top=np.full(ng, float(jgr.zm[0, -1])),\u000a momentum_heights=np.asfortranarray(np.asarray(jgr.zm)),\u000a thermodynamic_heights=np.asfortranarray(np.asarray(jgr.zt)),\u000a err_info=ErrInfo(ngrdcol=ng))\u000a zm = np.asarray(jgr.zm); zt = np.asarray(jgr.zt)\u000a rng = np.random.default_rng(4)\u000a xp2 = rng.uniform(0.01, 2.0, (ng, nzm)); xp3 = rng.uniform(-1, 1, (ng, nzt))\u000a tau_zm = np.full((ng, nzm), _TAU); tau_zt = np.full((ng, nzt), _TAU)\u000a xtol_col = np.full(ng, _XTOLSQ); depth_col = np.full(ng, _DEPTH) # f2py wants rank-1 (ngrdcol)\u000a xtol_j = xtol_col[:, None]; depth_j = depth_col[:, None] # JAX broadcasts (ng,1)\u000a> f2 = np.asarray(clubb_f2py.f2py_sponge_damp_xp2(_DT, zm, xp2, xtol_col, tau_zm, depth_col))\u000a ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u000aE ValueError: too many axes: 2 (effrank=2), expected rank=1\u000a\u000aclubb_jax/pytests/auto_llm_generated_pytests/test_sponge_damp_xp23.py:67: ValueError", "failedSince" : 4, "flakyFailures" : [ ], "name" : "test_f2py_oracle", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "FAILED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 1, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_sponge_damp_xp23", "duration" : 0.324, "errorDetails" : "ValueError: too many axes: 2 (effrank=2), expected rank=1", "errorStackTrace" : "def test_sponge_damp_xm_f2py():\u000a \"\"\"sponge_damp_xm (sponge_layer_damping.F90) — implicit nudge of the mean xm toward xm_ref in the top sponge.\u000a The JAX relies on tau=inf below the sponge (from initialize_tau_sponge_damp) for the no-op rather than a geometric\u000a gate, so build that tau profile and pass it to both sides; this also exercises initialize_tau_sponge_damp (no own\u000a f2py wrapper). SKIPs if clubb_f2py/clubb_python are unbuilt. (iter 439)\"\"\"\u000a try:\u000a import clubb_f2py\u000a from clubb_python import clubb_api\u000a from clubb_python.derived_types.err_info import ErrInfo\u000a except ModuleNotFoundError as e:\u000a if (e.name or \"\").split(\".\")[0] not in {\"clubb_f2py\", \"clubb_python\", \"netCDF4\"}:\u000a raise\u000a pytest.skip(f\" f2py sponge_damp_xm oracle: SKIP ({type(e).__name__})\")\u000a jgr = setup_grid(ngrdcol=_NG, deltaz=_DZ, zm_init=0.0, zm_top=_ZTOP, grid_type=1)\u000a ng, nzm = jgr.zm.shape; nzt = nzm - 1\u000a clubb_api.init_err_info(ng); cf = clubb_api.get_default_config_flags(); clubb_api.init_config_flags(cf)\u000a clubb_api.setup_grid(nzmax=nzm, ngrdcol=ng, sfc_elevation=np.zeros(ng), l_implemented=False,\u000a l_ascending_grid=True, grid_type=2, deltaz=np.full(ng, _DZ), zm_init=np.zeros(ng),\u000a zm_top=np.full(ng, float(jgr.zm[0, -1])),\u000a momentum_heights=np.asfortranarray(np.asarray(jgr.zm)),\u000a thermodynamic_heights=np.asfortranarray(np.asarray(jgr.zt)), err_info=ErrInfo(ngrdcol=ng))\u000a zt = np.asarray(jgr.zt); zm = np.asarray(jgr.zm); zm_top = float(jgr.zm[0, -1])\u000a tau_min, tau_max, depth_frac = 120.0, 1800.0, 0.25\u000a tau = np.zeros((ng, nzt))\u000a for i in range(ng):\u000a tau[i], sld = initialize_tau_sponge_damp(zt[i], _DT, zm_top, tau_min, tau_max, depth_frac)\u000a sld = depth_frac * zm_top\u000a rng = np.random.default_rng(2)\u000a worst = 0.0; damped = False\u000a for _ in range(10):\u000a xm = rng.uniform(280.0, 320.0, (ng, nzt)); xm_ref = rng.uniform(280.0, 320.0, (ng, nzt))\u000a j = np.asarray(sponge_damp_xm(jnp.asarray(xm), jnp.asarray(xm_ref), zt, zm_top, jnp.asarray(tau), sld, _DT))\u000a> f = np.asarray(clubb_f2py.f2py_sponge_damp_xm(_DT, zt, zm, xm_ref, xm, tau, np.full(ng, sld)))\u000a ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u000aE ValueError: too many axes: 2 (effrank=2), expected rank=1\u000a\u000aclubb_jax/pytests/auto_llm_generated_pytests/test_sponge_damp_xp23.py:110: ValueError", "failedSince" : 4, "flakyFailures" : [ ], "name" : "test_sponge_damp_xm_f2py", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "FAILED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_sponge_damp_xp23", "duration" : 0.693, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_below_sponge_noop", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_sponge_damp_xp23", "duration" : 1.194, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_differentiable", 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null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_netcdf_metadata_matches_fortran_schema", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_stats_writer", "duration" : 0.002, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_radiation_registry_entries_require_radiation_grids", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_stats_writer", "duration" : 0.032, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_multiple_runtime_batches_fill_one_output_file", "properties" : { }, 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"testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_sunray_sw", "duration" : 0.495, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_jit_multicol", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 1, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_sunray_sw", "duration" : 0.316, "errorDetails" : "TypeError: clubb_f2py.f2py_sunray_sw() missing required argument 'zm' (pos 5)", "errorStackTrace" : "def test_f2py_oracle():\u000a try:\u000a import clubb_f2py\u000a from clubb_python import clubb_api\u000a from clubb_python.derived_types.err_info import ErrInfo\u000a except ModuleNotFoundError as e:\u000a if (e.name or \"\").split(\".\")[0] not in {\"clubb_f2py\", \"clubb_python\", \"netCDF4\"}:\u000a raise\u000a pytest.skip(f\" f2py sunray_sw oracle: SKIP ({type(e).__name__})\")\u000a jgr = setup_grid(ngrdcol=_NG, deltaz=_DZ, zm_init=0.0, zm_top=_ZTOP, grid_type=1)\u000a ng, nzm = jgr.zm.shape; nzt = nzm - 1\u000a clubb_api.init_err_info(ng); cf = clubb_api.get_default_config_flags(); clubb_api.init_config_flags(cf)\u000a clubb_api.setup_grid(nzmax=nzm, ngrdcol=ng, sfc_elevation=np.zeros(ng), l_implemented=False,\u000a l_ascending_grid=True, grid_type=2, deltaz=np.full(ng, _DZ), zm_init=np.zeros(ng),\u000a zm_top=np.full(ng, float(jgr.zm[0, -1])),\u000a momentum_heights=np.asfortranarray(np.asarray(jgr.zm)),\u000a thermodynamic_heights=np.asfortranarray(np.asarray(jgr.zt)), err_info=ErrInfo(ngrdcol=ng))\u000a # Pin the parameters_radiation constants the f2py wrapper reads (fs_values/cos_solar_zen are fixed dim(20)).\u000a z20 = np.zeros(20)\u000a clubb_f2py.f2py_set_simplified_radiation_params(0.0, 0.0, 0.0, _RADIUS, _ALVDR, _GC, _OMEGA,\u000a False, True, True, 1, z20.copy(), z20.copy(), z20.copy())\u000a dzt = np.asarray(jgr.dzt); zm = np.asarray(jgr.zm); zt = np.asarray(jgr.zt)\u000a rng = np.random.default_rng(0)\u000a worst = 0.0\u000a for _ in range(15):\u000a rcm = rng.uniform(0.0, 1e-3, (ng, nzt)); rho = rng.uniform(0.5, 1.2, (ng, nzt))\u000a fs0 = float(rng.uniform(100.0, 400.0)); amu0 = float(rng.uniform(0.3, 0.9))\u000a j = np.asarray(sunray_sw(ng, nzt, rcm, rho, amu0, dzt, zm, zt, _RADIUS, _ALVDR, _GC, fs0, _OMEGA, True))\u000a> f = np.asarray(clubb_f2py.f2py_sunray_sw(fs0, amu0, rho, rcm))\u000a ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u000aE TypeError: clubb_f2py.f2py_sunray_sw() missing required argument 'zm' (pos 5)\u000a\u000aclubb_jax/pytests/auto_llm_generated_pytests/test_sunray_sw.py:81: TypeError", "failedSince" : 4, "flakyFailures" : [ ], "name" : "test_f2py_oracle", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "FAILED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : 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An error occurred while trying to hash an object of type , [[[-0.68638201 1.52409004 -0.46602778 -0.33872706 -0.39151396\u000a -0.01255222 1.15885653 -1.76984869]\u000a [ 1.21548704 -1.55817849 1.00056251 1.14582832 1.29674442\u000a 0.99859823 0.33629566 0.54250523]]\u000a\u000a [[-0.79632431 0.18724632 1.6983095 -0.9961909 -0.79230888\u000a 0.06051654 -0.09212711 -0.80942598]\u000a [-0.64738986 -1.10715655 0.88700408 -0.95046203 1.54918098\u000a 0.34532349 1.14856963 0.50961795]]\u000a\u000a [[-1.62273185 1.52964745 0.3761664 -0.50771604 1.57947835\u000a 0.55469002 -1.1577175 1.79986478]\u000a [-0.58395162 1.71350815 0.29173991 0.22391714 0.24590882\u000a 1.01796553 -1.33532669 0.60011474]]]. The error was:\u000aTypeError: unhashable type: 'jaxlib._jax.ArrayImpl'", "errorStackTrace" : "def test_lhs_matches_f90_assembly():\u000a gr = setup_grid(_NG, _DZ, _DZ, _DZ * (_NZT + 1))\u000a rng = np.random.default_rng(544)\u000a dt = 60.0\u000a lhs_diff, lhs_ma_zt, invrs_rho_ds_zt, rho_ds_zm, u_star_sqd, wind_speed, invrs_dzt = _inputs(rng, gr)\u000a> got = np.asarray(windm_edsclrm_lhs(jnp.asarray(lhs_diff), jnp.asarray(lhs_ma_zt), dt,\u000a jnp.asarray(invrs_rho_ds_zt), jnp.asarray(rho_ds_zm),\u000a jnp.asarray(u_star_sqd), jnp.asarray(wind_speed), gr, 0, 0))\u000aE ValueError: Non-hashable static arguments are not supported. An error occurred while trying to hash an object of type , [[[-0.68638201 1.52409004 -0.46602778 -0.33872706 -0.39151396\u000aE -0.01255222 1.15885653 -1.76984869]\u000aE [ 1.21548704 -1.55817849 1.00056251 1.14582832 1.29674442\u000aE 0.99859823 0.33629566 0.54250523]]\u000aE \u000aE [[-0.79632431 0.18724632 1.6983095 -0.9961909 -0.79230888\u000aE 0.06051654 -0.09212711 -0.80942598]\u000aE [-0.64738986 -1.10715655 0.88700408 -0.95046203 1.54918098\u000aE 0.34532349 1.14856963 0.50961795]]\u000aE \u000aE [[-1.62273185 1.52964745 0.3761664 -0.50771604 1.57947835\u000aE 0.55469002 -1.1577175 1.79986478]\u000aE [-0.58395162 1.71350815 0.29173991 0.22391714 0.24590882\u000aE 1.01796553 -1.33532669 0.60011474]]]. The error was:\u000aE TypeError: unhashable type: 'jaxlib._jax.ArrayImpl'\u000a\u000aclubb_jax/pytests/auto_llm_generated_pytests/test_windm_edsclrm_lhs.py:62: ValueError", "failedSince" : 4, "flakyFailures" : [ ], "name" : "test_lhs_matches_f90_assembly", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "FAILED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 1, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_windm_edsclrm_lhs", "duration" : 0.002, "errorDetails" : "ValueError: Non-hashable static arguments are not supported. An error occurred while trying to hash an object of type , [[[-1.48571919 -0.00288855 0.40599343 -1.88524397 -1.40829566\u000a 1.71284409 -1.7183177 -1.4809042 ]\u000a [ 1.79331381 0.48753437 -0.52402751 0.04556009 0.65137181\u000a -0.89876474 -1.44812771 1.15215838]]\u000a\u000a [[ 0.68144234 0.04952925 1.26694574 0.19630108 1.92365456\u000a -1.18196215 0.21492145 -0.06550121]\u000a [-0.58690058 0.36638122 -1.05879507 1.20881074 1.46933421\u000a -1.48496132 -0.13170717 -0.89142043]]\u000a\u000a [[-1.66753201 1.58377723 -0.28020523 -1.4092348 0.69344943\u000a -1.19113589 1.60572431 -1.13140697]\u000a [-1.86770125 -1.19692418 -0.6170085 -0.12436735 1.62453736\u000a 0.78944435 -0.64271736 -1.93249114]]]. The error was:\u000aTypeError: unhashable type: 'jaxlib._jax.ArrayImpl'", "errorStackTrace" : "def test_surface_term_localized_and_cn_scaling():\u000a gr = setup_grid(_NG, _DZ, _DZ, _DZ * (_NZT + 1))\u000a rng = np.random.default_rng(11)\u000a dt = 60.0\u000a lhs_diff, lhs_ma_zt, invrs_rho_ds_zt, rho_ds_zm, u_star_sqd, wind_speed, invrs_dzt = _inputs(rng, gr)\u000a args = (jnp.asarray(lhs_diff), jnp.asarray(lhs_ma_zt), dt, jnp.asarray(invrs_rho_ds_zt),\u000a jnp.asarray(rho_ds_zm), jnp.asarray(u_star_sqd), jnp.asarray(wind_speed), gr, 0, 0)\u000a> base = np.asarray(windm_edsclrm_lhs(*args))\u000a ^^^^^^^^^^^^^^^^^^^^^^^^\u000aE ValueError: Non-hashable static arguments are not supported. An error occurred while trying to hash an object of type , [[[-1.48571919 -0.00288855 0.40599343 -1.88524397 -1.40829566\u000aE 1.71284409 -1.7183177 -1.4809042 ]\u000aE [ 1.79331381 0.48753437 -0.52402751 0.04556009 0.65137181\u000aE -0.89876474 -1.44812771 1.15215838]]\u000aE \u000aE [[ 0.68144234 0.04952925 1.26694574 0.19630108 1.92365456\u000aE -1.18196215 0.21492145 -0.06550121]\u000aE [-0.58690058 0.36638122 -1.05879507 1.20881074 1.46933421\u000aE -1.48496132 -0.13170717 -0.89142043]]\u000aE \u000aE [[-1.66753201 1.58377723 -0.28020523 -1.4092348 0.69344943\u000aE -1.19113589 1.60572431 -1.13140697]\u000aE [-1.86770125 -1.19692418 -0.6170085 -0.12436735 1.62453736\u000aE 0.78944435 -0.64271736 -1.93249114]]]. The error was:\u000aE TypeError: unhashable type: 'jaxlib._jax.ArrayImpl'\u000a\u000aclubb_jax/pytests/auto_llm_generated_pytests/test_windm_edsclrm_lhs.py:78: ValueError", "failedSince" : 4, "flakyFailures" : [ ], "name" : "test_surface_term_localized_and_cn_scaling", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "FAILED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 1, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_windm_edsclrm_rhs", "duration" : 0.068, "errorDetails" : "ValueError: Non-hashable static arguments are not supported. An error occurred while trying to hash an object of type , [[[-1.19147169 1.26627236 0.60924776 1.90165371 1.76880206\u000a -1.69827121 -0.92372881 -1.84510251]\u000a [-1.14636946 -1.9315875 1.87317936 0.73583607 -1.52520287\u000a -1.8679437 1.12926853 -1.06671348]]\u000a\u000a [[-0.09825562 -0.5705109 1.92056741 1.32182048 -1.32470799\u000a 0.08165562 -0.31340509 -0.70146373]\u000a [-1.7908162 -1.28913637 -1.6800432 -1.77181536 -0.53644832\u000a 1.14905894 -1.8667776 -0.13233778]]\u000a\u000a [[ 0.14219461 -1.08009536 1.72982352 -0.97913112 0.7923364\u000a -1.25352379 0.53728725 1.57109789]\u000a [-0.81325559 -0.03744118 0.21188722 -1.27103021 1.8465853\u000a 0.3065091 1.68759379 -0.69125656]]]. The error was:\u000aTypeError: unhashable type: 'jaxlib._jax.ArrayImpl'", "errorStackTrace" : "def test_rhs_is_cn_explicit_half():\u000a rng = np.random.default_rng(545)\u000a dt = 60.0\u000a lhs_diff, xm, xm_tndcy = _inputs(rng)\u000a> got = np.asarray(windm_edsclrm_rhs(jnp.asarray(lhs_diff), jnp.asarray(xm), jnp.asarray(xm_tndcy), dt))\u000a ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u000aE ValueError: Non-hashable static arguments are not supported. An error occurred while trying to hash an object of type , [[[-1.19147169 1.26627236 0.60924776 1.90165371 1.76880206\u000aE -1.69827121 -0.92372881 -1.84510251]\u000aE [-1.14636946 -1.9315875 1.87317936 0.73583607 -1.52520287\u000aE -1.8679437 1.12926853 -1.06671348]]\u000aE \u000aE [[-0.09825562 -0.5705109 1.92056741 1.32182048 -1.32470799\u000aE 0.08165562 -0.31340509 -0.70146373]\u000aE [-1.7908162 -1.28913637 -1.6800432 -1.77181536 -0.53644832\u000aE 1.14905894 -1.8667776 -0.13233778]]\u000aE \u000aE [[ 0.14219461 -1.08009536 1.72982352 -0.97913112 0.7923364\u000aE -1.25352379 0.53728725 1.57109789]\u000aE [-0.81325559 -0.03744118 0.21188722 -1.27103021 1.8465853\u000aE 0.3065091 1.68759379 -0.69125656]]]. The error was:\u000aE TypeError: unhashable type: 'jaxlib._jax.ArrayImpl'\u000a\u000aclubb_jax/pytests/auto_llm_generated_pytests/test_windm_edsclrm_rhs.py:63: ValueError", "failedSince" : 4, "flakyFailures" : [ ], "name" : "test_rhs_is_cn_explicit_half", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "FAILED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 1, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_windm_edsclrm_rhs", "duration" : 0.002, "errorDetails" : "ValueError: Non-hashable static arguments are not supported. An error occurred while trying to hash an object of type , [[[0. 0. 0. 0. 0. 0. 0. 0.]\u000a [0. 0. 0. 0. 0. 0. 0. 0.]]\u000a\u000a [[0. 0. 0. 0. 0. 0. 0. 0.]\u000a [0. 0. 0. 0. 0. 0. 0. 0.]]\u000a\u000a [[0. 0. 0. 0. 0. 0. 0. 0.]\u000a [0. 0. 0. 0. 0. 0. 0. 0.]]]. The error was:\u000aTypeError: unhashable type: 'jaxlib._jax.ArrayImpl'", "errorStackTrace" : "def test_no_diffusion_is_pure_time_plus_tendency():\u000a rng = np.random.default_rng(3)\u000a dt = 30.0\u000a _, xm, xm_tndcy = _inputs(rng)\u000a zero = np.zeros((3, _NG, _NZT))\u000a> got = np.asarray(windm_edsclrm_rhs(jnp.asarray(zero), jnp.asarray(xm), jnp.asarray(xm_tndcy), dt))\u000a ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u000aE ValueError: Non-hashable static arguments are not supported. An error occurred while trying to hash an object of type , [[[0. 0. 0. 0. 0. 0. 0. 0.]\u000aE [0. 0. 0. 0. 0. 0. 0. 0.]]\u000aE \u000aE [[0. 0. 0. 0. 0. 0. 0. 0.]\u000aE [0. 0. 0. 0. 0. 0. 0. 0.]]\u000aE \u000aE [[0. 0. 0. 0. 0. 0. 0. 0.]\u000aE [0. 0. 0. 0. 0. 0. 0. 0.]]]. The error was:\u000aE TypeError: unhashable type: 'jaxlib._jax.ArrayImpl'\u000a\u000aclubb_jax/pytests/auto_llm_generated_pytests/test_windm_edsclrm_rhs.py:75: ValueError", "failedSince" : 4, "flakyFailures" : [ ], "name" : "test_no_diffusion_is_pure_time_plus_tendency", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "FAILED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 1, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_windm_edsclrm_rhs", "duration" : 0.008, "errorDetails" : "ValueError: Non-hashable static arguments are not supported. An error occurred while trying to hash an object of type , [[[ 0.0241227 0.26036653 0.04766384 1.88874549 0.45961257\u000a 0.27313399 -0.85285311 0.21804581]\u000a [-0.1299059 0.44023203 1.72176999 -1.01645847 -0.76224665\u000a -0.4356814 -0.91891307 -0.5999402 ]]\u000a\u000a [[ 1.74491876 -0.48846314 1.09859684 -1.83773104 -0.80537762\u000a 0.81036459 -0.19098952 1.55943156]\u000a [-0.25959987 0.49423918 0.34151886 0.39652698 0.62274262\u000a 0.04512793 -1.22528099 -1.72413047]]\u000a\u000a [[-0.99181723 -1.61922865 -1.54748253 -0.87765667 0.37006541\u000a -0.62710989 1.11139693 1.86154185]\u000a [-0.67263996 -1.05486348 0.75132523 0.2906633 1.07822862\u000a 0.46766295 -0.88192609 1.64442527]]]. The error was:\u000aTypeError: unhashable type: 'jaxlib._jax.ArrayImpl'\u000a\u000a--------------------\u000aFor simplicity, JAX has removed its internal frames from the traceback of the following exception. Set JAX_TRACEBACK_FILTERING=off to include these.", "errorStackTrace" : "def test_grad_finite():\u000a rng = np.random.default_rng(99)\u000a lhs_diff, xm, xm_tndcy = _inputs(rng)\u000a> g = jax.grad(lambda x: jnp.sum(\u000a windm_edsclrm_rhs(jnp.asarray(lhs_diff), x, jnp.asarray(xm_tndcy), 60.0) ** 2))(jnp.asarray(xm))\u000a\u000aclubb_jax/pytests/auto_llm_generated_pytests/test_windm_edsclrm_rhs.py:84: \u000a_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \u000a\u000ax = GradTracer(primal=[[ 1.75047507 5.23945262 4.13699238 6.47505955 6.05774148\u000a -2.15270662 -11.08977628 -0.3...8.53077714 6.76829763 3.72878118 4.93639771\u000a -6.76548646 -10.19207165 -5.57322864]], typeof(tangent)=f64[2,8])\u000a\u000a g = jax.grad(lambda x: jnp.sum(\u000a> windm_edsclrm_rhs(jnp.asarray(lhs_diff), x, jnp.asarray(xm_tndcy), 60.0) ** 2))(jnp.asarray(xm))\u000a ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u000aE ValueError: Non-hashable static arguments are not supported. An error occurred while trying to hash an object of type , [[[ 0.0241227 0.26036653 0.04766384 1.88874549 0.45961257\u000aE 0.27313399 -0.85285311 0.21804581]\u000aE [-0.1299059 0.44023203 1.72176999 -1.01645847 -0.76224665\u000aE -0.4356814 -0.91891307 -0.5999402 ]]\u000aE \u000aE [[ 1.74491876 -0.48846314 1.09859684 -1.83773104 -0.80537762\u000aE 0.81036459 -0.19098952 1.55943156]\u000aE [-0.25959987 0.49423918 0.34151886 0.39652698 0.62274262\u000aE 0.04512793 -1.22528099 -1.72413047]]\u000aE \u000aE [[-0.99181723 -1.61922865 -1.54748253 -0.87765667 0.37006541\u000aE -0.62710989 1.11139693 1.86154185]\u000aE [-0.67263996 -1.05486348 0.75132523 0.2906633 1.07822862\u000aE 0.46766295 -0.88192609 1.64442527]]]. The error was:\u000aE TypeError: unhashable type: 'jaxlib._jax.ArrayImpl'\u000aE \u000aE --------------------\u000aE For simplicity, JAX has removed its internal frames from the traceback of the following exception. Set JAX_TRACEBACK_FILTERING=off to include these.\u000a\u000aclubb_jax/pytests/auto_llm_generated_pytests/test_windm_edsclrm_rhs.py:85: ValueError", "failedSince" : 4, "flakyFailures" : [ ], "name" : "test_grad_finite", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "FAILED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 1, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_wp2_wp3_lhs_terms", "duration" : 0.111, "errorDetails" : "TypeError: wp2_term_dp1_lhs() missing 3 required positional arguments: 'gr', 'C1_Skw_fnc', and 'invrs_tau1m'", "errorStackTrace" : "def test_scalar_lhs_terms():\u000a gr = setup_grid(ngrdcol=_NG, deltaz=_DZ, zm_init=0.0, zm_top=_ZTOP, grid_type=1)\u000a nzm = gr.zm.shape[1]; nzt = nzm - 1\u000a rng = np.random.default_rng(41)\u000a C1 = rng.uniform(0.5, 2.0, (_NG, nzm)); itau1 = rng.uniform(1e-3, 1e-2, (_NG, nzm))\u000a C4 = rng.uniform(3.0, 6.0, _NG); itau4 = rng.uniform(1e-3, 1e-2, (_NG, nzm))\u000a C8 = rng.uniform(3.0, 6.0, _NG); C8b = rng.uniform(0.1, 0.5, _NG)\u000a itau3 = rng.uniform(1e-3, 1e-2, (_NG, nzt)); Skw = rng.uniform(-3.0, 3.0, (_NG, nzt))\u000a \u000a> jd = np.asarray(wp2_term_dp1_lhs(jnp.asarray(C1), jnp.asarray(itau1)))\u000a ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u000aE TypeError: wp2_term_dp1_lhs() missing 3 required positional arguments: 'gr', 'C1_Skw_fnc', and 'invrs_tau1m'\u000a\u000aclubb_jax/pytests/auto_llm_generated_pytests/test_wp2_wp3_lhs_terms.py:47: TypeError", "failedSince" : 4, "flakyFailures" : [ ], "name" : "test_scalar_lhs_terms", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "FAILED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 1, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_wp2_wp3_lhs_terms", "duration" : 0.002, "errorDetails" : "TypeError: wp2_term_ta_lhs() missing 3 required positional arguments: 'gr', 'rho_ds_zt', and 'invrs_rho_ds_zm'", "errorStackTrace" : "def test_wp2_term_ta_lhs():\u000a gr = setup_grid(ngrdcol=_NG, deltaz=_DZ, zm_init=0.0, zm_top=_ZTOP, grid_type=1)\u000a nzm = gr.zm.shape[1]; nzt = nzm - 1\u000a invrs_dzm = np.asarray(gr.invrs_dzm)\u000a rng = np.random.default_rng(42)\u000a invrs_rho_ds_zm = rng.uniform(0.8, 2.0, (_NG, nzm))\u000a rho_ds_zt = rng.uniform(0.5, 1.2, (_NG, nzt))\u000a> j = np.asarray(wp2_term_ta_lhs(jnp.asarray(invrs_rho_ds_zm), jnp.asarray(rho_ds_zt), gr))\u000a ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u000aE TypeError: wp2_term_ta_lhs() missing 3 required positional arguments: 'gr', 'rho_ds_zt', and 'invrs_rho_ds_zm'\u000a\u000aclubb_jax/pytests/auto_llm_generated_pytests/test_wp2_wp3_lhs_terms.py:68: TypeError", "failedSince" : 4, "flakyFailures" : [ ], "name" : "test_wp2_term_ta_lhs", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "FAILED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 1, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_wp2_wp3_lhs_terms", "duration" : 0.02, "errorDetails" : "TypeError: wp3_term_tp_lhs() missing 3 required positional arguments: 'wp2', 'rho_ds_zm', and 'invrs_rho_ds_zt'", "errorStackTrace" : "def test_wp3_term_tp_lhs():\u000a \"\"\"wp3_term_tp_lhs — 2-band turbulent-production LHS (F90:4885). Band 0 = coeff of wp2[k+1], band 1 = wp2[k].\"\"\"\u000a gr = setup_grid(ngrdcol=_NG, deltaz=_DZ, zm_init=0.0, zm_top=_ZTOP, grid_type=1)\u000a nzm = gr.zm.shape[1]; nzt = nzm - 1\u000a invrs_dzt = np.asarray(gr.invrs_dzt)\u000a rng = np.random.default_rng(43)\u000a coef = rng.uniform(0.5, 2.0, _NG)\u000a wp2 = rng.uniform(1e-3, 2.0, (_NG, nzm)); rho_zm = rng.uniform(0.5, 1.2, (_NG, nzm))\u000a inv_rho_zt = rng.uniform(0.8, 2.0, (_NG, nzt))\u000a> j = np.asarray(wp3_term_tp_lhs(jnp.asarray(coef), jnp.asarray(wp2), jnp.asarray(rho_zm),\u000a jnp.asarray(inv_rho_zt), gr))\u000aE TypeError: wp3_term_tp_lhs() missing 3 required positional arguments: 'wp2', 'rho_ds_zm', and 'invrs_rho_ds_zt'\u000a\u000aclubb_jax/pytests/auto_llm_generated_pytests/test_wp2_wp3_lhs_terms.py:88: TypeError", "failedSince" : 4, "flakyFailures" : [ ], "name" : "test_wp3_term_tp_lhs", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "FAILED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 1, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_wp2_wp3_lhs_terms", "duration" : 0.002, "errorDetails" : "TypeError: wp3_terms_ac_pr2_lhs() missing 3 required positional arguments: 'gr', 'C11_Skw_fnc', and 'wm_zm'", "errorStackTrace" : "def test_ac_pr2_lhs():\u000a \"\"\"wp3_terms_ac_pr2_lhs (F90:5011) and wp2_terms_ac_pr2_lhs (F90:3511) — accumulation+pr2 LHS via d(wm)/dz.\"\"\"\u000a gr = setup_grid(ngrdcol=_NG, deltaz=_DZ, zm_init=0.0, zm_top=_ZTOP, grid_type=1)\u000a nzm = gr.zm.shape[1]; nzt = nzm - 1\u000a idzt = np.asarray(gr.invrs_dzt); idzm = np.asarray(gr.invrs_dzm)\u000a rng = np.random.default_rng(44)\u000a C11 = rng.uniform(0.3, 0.8, (_NG, nzt)); wm_zm = rng.uniform(-0.1, 0.1, (_NG, nzm))\u000a C_uu_shr = rng.uniform(0.1, 0.5, _NG); wm_zt = rng.uniform(-0.1, 0.1, (_NG, nzt))\u000a> j3 = np.asarray(wp3_terms_ac_pr2_lhs(jnp.asarray(C11), jnp.asarray(wm_zm), gr))\u000a ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u000aE TypeError: wp3_terms_ac_pr2_lhs() missing 3 required positional arguments: 'gr', 'C11_Skw_fnc', and 'wm_zm'\u000a\u000aclubb_jax/pytests/auto_llm_generated_pytests/test_wp2_wp3_lhs_terms.py:108: TypeError", "failedSince" : 4, "flakyFailures" : [ ], "name" : "test_ac_pr2_lhs", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "FAILED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 1, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_wp2_wp3_terms", "duration" : 0.1, "errorDetails" : "TypeError: wp2_terms_bp_pr2_rhs() missing 3 required positional arguments: 'C_uu_buoy', 'thv_ds_zm', and 'wpthvp'", "errorStackTrace" : "def test_wp2_bp_pr2_dp1_pr1():\u000a gr, nzm = _grid()\u000a rng = np.random.default_rng(31)\u000a C_uu_buoy = rng.uniform(0.1, 0.6, _NG)\u000a thv = rng.uniform(290.0, 320.0, (_NG, nzm)); wpthvp = rng.uniform(-0.05, 0.2, (_NG, nzm))\u000a C1 = rng.uniform(0.5, 2.0, (_NG, nzm)); itau1 = rng.uniform(1e-3, 1e-2, (_NG, nzm))\u000a up2 = rng.uniform(1e-3, 2.0, (_NG, nzm)); vp2 = rng.uniform(1e-3, 2.0, (_NG, nzm))\u000a C4 = rng.uniform(3.0, 6.0, _NG); itau4 = rng.uniform(1e-3, 1e-2, (_NG, nzm))\u000a \u000a> jb = np.asarray(wp2_terms_bp_pr2_rhs(jnp.asarray(C_uu_buoy), jnp.asarray(thv), jnp.asarray(wpthvp)))\u000a ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u000aE TypeError: wp2_terms_bp_pr2_rhs() missing 3 required positional arguments: 'C_uu_buoy', 'thv_ds_zm', and 'wpthvp'\u000a\u000aclubb_jax/pytests/auto_llm_generated_pytests/test_wp2_wp3_terms.py:57: TypeError", "failedSince" : 4, "flakyFailures" : [ ], "name" : "test_wp2_bp_pr2_dp1_pr1", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "FAILED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 1, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_wp2_wp3_terms", "duration" : 0.002, "errorDetails" : "TypeError: wp2_term_pr3_rhs() missing 3 required positional arguments: 'um', 'vpwp', and 'vm'", "errorStackTrace" : "def test_wp2_pr3():\u000a gr, nzm = _grid()\u000a nzt = nzm - 1\u000a invrs_dzm = np.asarray(gr.invrs_dzm)\u000a rng = np.random.default_rng(32)\u000a C_uu_shr = rng.uniform(0.1, 0.5, _NG); C_uu_buoy = rng.uniform(0.1, 0.5, _NG)\u000a thv = rng.uniform(290.0, 320.0, (_NG, nzm)); wpthvp = rng.uniform(-0.05, 0.2, (_NG, nzm))\u000a upwp = rng.uniform(-0.5, 0.5, (_NG, nzm)); vpwp = rng.uniform(-0.5, 0.5, (_NG, nzm))\u000a um = rng.uniform(-15.0, 15.0, (_NG, nzt)); vm = rng.uniform(-15.0, 15.0, (_NG, nzt))\u000a> j = np.asarray(wp2_term_pr3_rhs(jnp.asarray(C_uu_shr), jnp.asarray(C_uu_buoy), jnp.asarray(thv),\u000a jnp.asarray(wpthvp), jnp.asarray(upwp), jnp.asarray(um),\u000a jnp.asarray(vpwp), jnp.asarray(vm), gr))\u000aE TypeError: wp2_term_pr3_rhs() missing 3 required positional arguments: 'um', 'vpwp', and 'vm'\u000a\u000aclubb_jax/pytests/auto_llm_generated_pytests/test_wp2_wp3_terms.py:79: TypeError", "failedSince" : 4, "flakyFailures" : [ ], "name" : "test_wp2_pr3", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "FAILED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 1, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_wp2_wp3_terms", "duration" : 0.002, "errorDetails" : "TypeError: wp3_terms_bp1_pr2_rhs() missing 3 required positional arguments: 'C11_Skw_fnc', 'thv_ds_zt', and 'wp2thvp'", "errorStackTrace" : "def test_wp3_bp1_pr2_pr1():\u000a gr, nzm = _grid()\u000a nzt = nzm - 1\u000a rng = np.random.default_rng(33)\u000a C11 = rng.uniform(0.3, 0.8, (_NG, nzt)); thv_zt = rng.uniform(290.0, 320.0, (_NG, nzt))\u000a wp2thvp = rng.uniform(-0.1, 0.3, (_NG, nzt))\u000a C8 = rng.uniform(3.0, 6.0, _NG); C8b = rng.uniform(0.1, 0.5, _NG)\u000a itau3 = rng.uniform(1e-3, 1e-2, (_NG, nzt)); Skw = rng.uniform(-3.0, 3.0, (_NG, nzt))\u000a wp3 = rng.standard_normal((_NG, nzt))\u000a> jb = np.asarray(wp3_terms_bp1_pr2_rhs(jnp.asarray(C11), jnp.asarray(thv_zt), jnp.asarray(wp2thvp)))\u000a ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u000aE TypeError: wp3_terms_bp1_pr2_rhs() missing 3 required positional arguments: 'C11_Skw_fnc', 'thv_ds_zt', and 'wp2thvp'\u000a\u000aclubb_jax/pytests/auto_llm_generated_pytests/test_wp2_wp3_terms.py:104: TypeError", "failedSince" : 4, "flakyFailures" : [ ], "name" : "test_wp3_bp1_pr2_pr1", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "FAILED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 1, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_wp2_wp3_terms", "duration" : 0.003, "errorDetails" : "TypeError: wp2_term_pr_dfsn_rhs() missing 3 required positional arguments: 'wpup2', 'wpvp2', and 'wp3'", "errorStackTrace" : "def test_pr_dfsn_turb():\u000a \"\"\"The pressure-diffusion / pressure-turbulence RHS builders (deferred from iter 494, F90-verified iter 503):\u000a wp2_term_pr_dfsn_rhs (F90:4229) C·invrs_rho_ds_zm·invrs_dzm·Δ(rho_ds_zt·(wpup2+wpvp2+wp3)); lower BC = first interior\u000a wp3_term_pr_turb_rhs (F90:5452) −C·invrs_rho_ds_zt·invrs_dzt·Δ(rho_ds_zm·wp2·em) [TKE branch]\u000a wp3_term_pr_dfsn_rhs (F90:5564) C·invrs_rho_ds_zt·invrs_dzt·Δ(rho_ds_zm·net), net=(wp2up2+wp2vp2+wp4)−wp2·(up2+vp2+wp2)\u000a \"\"\"\u000a gr = _grid()[0]; nzm = gr.zm.shape[1]; nzt = nzm - 1\u000a idzm = np.asarray(gr.invrs_dzm); idzt = np.asarray(gr.invrs_dzt)\u000a rng = np.random.default_rng(34)\u000a # wp2_term_pr_dfsn_rhs\u000a Cw2 = rng.uniform(0.1, 0.5, _NG); rho_zt = rng.uniform(0.5, 1.2, (_NG, nzt)); irho_zm = rng.uniform(0.8, 2.0, (_NG, nzm))\u000a wpup2 = rng.standard_normal((_NG, nzt)); wpvp2 = rng.standard_normal((_NG, nzt)); wp3 = rng.standard_normal((_NG, nzt))\u000a> j2 = np.asarray(wp2_term_pr_dfsn_rhs(jnp.asarray(Cw2), jnp.asarray(rho_zt), jnp.asarray(irho_zm),\u000a jnp.asarray(wpup2), jnp.asarray(wpvp2), jnp.asarray(wp3), gr))\u000aE TypeError: wp2_term_pr_dfsn_rhs() missing 3 required positional arguments: 'wpup2', 'wpvp2', and 'wp3'\u000a\u000aclubb_jax/pytests/auto_llm_generated_pytests/test_wp2_wp3_terms.py:128: TypeError", "failedSince" : 4, "flakyFailures" : [ ], "name" : "test_pr_dfsn_turb", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "FAILED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 1, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_xm_correction_wpxp_cl", "duration" : 0.06, "errorDetails" : "TypeError: xm_correction_wpxp_cl() missing 5 required positional arguments: 'dt', 'wpxp_chnge', 'invrs_dzt', 'stats', and 'xm'", "errorStackTrace" : "def test_xm_correction_wpxp_cl_matches_reference():\u000a rng = np.random.default_rng(0)\u000a ng, nzt = 3, 12\u000a nzm = nzt + 1\u000a xm = rng.normal(size=(ng, nzt))\u000a invrs_dzt = rng.uniform(0.5, 2.0, size=(ng, nzt))\u000a dt = 60.0\u000a \u000a wpxp_chnge = rng.normal(size=(ng, nzm)) * 1e-3 # col 0: clipping fired\u000a wpxp_chnge[1] = 0.0 # col 1: no clipping → no-op\u000a wpxp_chnge[2] = 0.5 * eps # col 2: sub-eps → gated off (no-op)\u000a \u000a> got = np.asarray(xm_correction_wpxp_cl(\u000a jnp.asarray(xm), jnp.asarray(wpxp_chnge), jnp.asarray(invrs_dzt), dt))\u000aE TypeError: xm_correction_wpxp_cl() missing 5 required positional arguments: 'dt', 'wpxp_chnge', 'invrs_dzt', 'stats', and 'xm'\u000a\u000aclubb_jax/pytests/auto_llm_generated_pytests/test_xm_correction_wpxp_cl.py:54: TypeError", "failedSince" : 4, "flakyFailures" : [ ], "name" : "test_xm_correction_wpxp_cl_matches_reference", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "FAILED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 1, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_xm_correction_wpxp_cl", "duration" : 0.079, "errorDetails" : "TypeError: xm_correction_wpxp_cl() missing 5 required positional arguments: 'dt', 'wpxp_chnge', 'invrs_dzt', 'stats', and 'xm'", "errorStackTrace" : "def test_xm_correction_wpxp_cl_all_zero_is_noop():\u000a rng = np.random.default_rng(1)\u000a ng, nzt = 2, 8\u000a xm = rng.normal(size=(ng, nzt))\u000a invrs_dzt = rng.uniform(0.5, 2.0, size=(ng, nzt))\u000a> got = np.asarray(xm_correction_wpxp_cl(\u000a jnp.asarray(xm), jnp.zeros((ng, nzt + 1)), jnp.asarray(invrs_dzt), 60.0))\u000aE TypeError: xm_correction_wpxp_cl() missing 5 required positional arguments: 'dt', 'wpxp_chnge', 'invrs_dzt', 'stats', and 'xm'\u000a\u000aclubb_jax/pytests/auto_llm_generated_pytests/test_xm_correction_wpxp_cl.py:71: TypeError", "failedSince" : 4, "flakyFailures" : [ ], "name" : "test_xm_correction_wpxp_cl_all_zero_is_noop", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "FAILED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 1, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_xm_wpxp_terms", "duration" : 0.1, "errorDetails" : "TypeError: xm_term_ta_lhs() missing 3 required positional arguments: 'gr', 'rho_ds_zm', and 'invrs_rho_ds_zt'", "errorStackTrace" : "def test_xm_term_ta_lhs():\u000a gr, nzm, nzt = _grid()\u000a idzt = np.asarray(gr.invrs_dzt)\u000a rng = np.random.default_rng(51)\u000a inv_rho_zt = rng.uniform(0.8, 2.0, (_NG, nzt)); rho_zm = rng.uniform(0.5, 1.2, (_NG, nzm))\u000a> j = np.asarray(xm_term_ta_lhs(jnp.asarray(inv_rho_zt), jnp.asarray(rho_zm), gr))\u000a ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u000aE TypeError: xm_term_ta_lhs() missing 3 required positional arguments: 'gr', 'rho_ds_zm', and 'invrs_rho_ds_zt'\u000a\u000aclubb_jax/pytests/auto_llm_generated_pytests/test_xm_wpxp_terms.py:50: TypeError", "failedSince" : 4, "flakyFailures" : [ ], "name" : "test_xm_term_ta_lhs", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "FAILED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 1, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_xm_wpxp_terms", "duration" : 0.002, "errorDetails" : "TypeError: wpxp_term_tp_lhs() missing 2 required positional arguments: 'gr' and 'wp2'", "errorStackTrace" : "def test_wpxp_term_tp_lhs():\u000a gr, nzm, nzt = _grid()\u000a idzm = np.asarray(gr.invrs_dzm)\u000a rng = np.random.default_rng(52)\u000a wp2 = rng.uniform(1e-3, 2.0, (_NG, nzm))\u000a> j = np.asarray(wpxp_term_tp_lhs(jnp.asarray(wp2), gr))\u000a ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u000aE TypeError: wpxp_term_tp_lhs() missing 2 required positional arguments: 'gr' and 'wp2'\u000a\u000aclubb_jax/pytests/auto_llm_generated_pytests/test_xm_wpxp_terms.py:64: TypeError", "failedSince" : 4, "flakyFailures" : [ ], "name" : "test_wpxp_term_tp_lhs", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "FAILED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 1, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_xm_wpxp_terms", "duration" : 0.002, "errorDetails" : "TypeError: wpxp_terms_ac_pr2_lhs() missing 4 required positional arguments: 'gr', 'C7_Skw_fnc', 'wm_zt', and 'invrs_dzm'", "errorStackTrace" : "def test_wpxp_ac_pr1_bp():\u000a gr, nzm, nzt = _grid()\u000a idzm = np.asarray(gr.invrs_dzm)\u000a rng = np.random.default_rng(53)\u000a C7 = rng.uniform(0.3, 0.8, (_NG, nzm)); wm_zt = rng.uniform(-0.1, 0.1, (_NG, nzt))\u000a C6 = rng.uniform(2.0, 5.0, (_NG, nzm)); itau6 = rng.uniform(1e-3, 1e-2, (_NG, nzm))\u000a thv = rng.uniform(290.0, 320.0, (_NG, nzm)); xpthvp = rng.uniform(-0.1, 0.3, (_NG, nzm))\u000a \u000a> jac = np.asarray(wpxp_terms_ac_pr2_lhs(jnp.asarray(C7), jnp.asarray(wm_zt), gr))\u000a ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u000aE TypeError: wpxp_terms_ac_pr2_lhs() missing 4 required positional arguments: 'gr', 'C7_Skw_fnc', 'wm_zt', and 'invrs_dzm'\u000a\u000aclubb_jax/pytests/auto_llm_generated_pytests/test_xm_wpxp_terms.py:81: TypeError", "failedSince" : 4, "flakyFailures" : [ ], "name" : "test_wpxp_ac_pr1_bp", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "FAILED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 1, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_xp2_xpyp_terms", "duration" : 0.087, "errorDetails" : "ValueError: Non-hashable static arguments are not supported. An error occurred while trying to hash an object of type , [[ 0.35877341 1.51067731 -1.78633124 1.68661351 -0.04731721 -0.79997858\u000a -0.80295672 -1.08281652 -0.22364536 0.83388418 0.58406373 0.63828602\u000a -1.69480839 -1.57096212 1.55380317 0.96888537 2.183214 1.20981583\u000a -1.02439134 1.28527245 0.62839426 0.21482493 -0.81987332 0.00278022\u000a -0.1469987 0.89253511 0.12449694 1.58474591 -0.77448575 0.47110256]\u000a [ 0.49884238 -0.86433854 -1.18126605 1.0135795 0.51744047 -0.16250519\u000a 0.3943674 -0.67534403 0.2383482 -0.60512669 0.18878847 0.98608946\u000a -0.33963025 0.84977381 -1.03419934 -0.28849077 -1.3647426 -0.10058609\u000a 0.07865408 -0.19726266 -0.26767572 1.34019469 1.42379284 -1.215631\u000a 1.17411449 -1.72306961 -0.73447925 -0.1734456 0.1110606 -1.04741668]]. The error was:\u000aTypeError: unhashable type: 'jaxlib._jax.ArrayImpl'", "errorStackTrace" : "def test_term_tp_rhs():\u000a gr = setup_grid(ngrdcol=_NG, deltaz=_DZ, zm_init=0.0, zm_top=_ZTOP, grid_type=1)\u000a nzm = gr.zm.shape[1]; nzt = nzm - 1\u000a invrs_dzm = np.asarray(gr.invrs_dzm)\u000a rng = np.random.default_rng(21)\u000a xam = rng.standard_normal((_NG, nzt)); xbm = rng.standard_normal((_NG, nzt))\u000a wpxap = rng.standard_normal((_NG, nzm)); wpxbp = rng.standard_normal((_NG, nzm))\u000a> j = np.asarray(term_tp_rhs(jnp.asarray(xam), jnp.asarray(xbm),\u000a jnp.asarray(wpxap), jnp.asarray(wpxbp), jnp.asarray(invrs_dzm)))\u000aE ValueError: Non-hashable static arguments are not supported. An error occurred while trying to hash an object of type , [[ 0.35877341 1.51067731 -1.78633124 1.68661351 -0.04731721 -0.79997858\u000aE -0.80295672 -1.08281652 -0.22364536 0.83388418 0.58406373 0.63828602\u000aE -1.69480839 -1.57096212 1.55380317 0.96888537 2.183214 1.20981583\u000aE -1.02439134 1.28527245 0.62839426 0.21482493 -0.81987332 0.00278022\u000aE -0.1469987 0.89253511 0.12449694 1.58474591 -0.77448575 0.47110256]\u000aE [ 0.49884238 -0.86433854 -1.18126605 1.0135795 0.51744047 -0.16250519\u000aE 0.3943674 -0.67534403 0.2383482 -0.60512669 0.18878847 0.98608946\u000aE -0.33963025 0.84977381 -1.03419934 -0.28849077 -1.3647426 -0.10058609\u000aE 0.07865408 -0.19726266 -0.26767572 1.34019469 1.42379284 -1.215631\u000aE 1.17411449 -1.72306961 -0.73447925 -0.1734456 0.1110606 -1.04741668]]. The error was:\u000aE TypeError: unhashable type: 'jaxlib._jax.ArrayImpl'\u000a\u000aclubb_jax/pytests/auto_llm_generated_pytests/test_xp2_xpyp_terms.py:44: ValueError", "failedSince" : 4, "flakyFailures" : [ ], "name" : "test_term_tp_rhs", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "FAILED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 1, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_xp2_xpyp_terms", "duration" : 0.029, "errorDetails" : "ValueError: Non-hashable static arguments are not supported. An error occurred while trying to hash an object of type , [[4.09904075]\u000a [3.59788614]]. The error was:\u000aTypeError: unhashable type: 'jaxlib._jax.ArrayImpl'", "errorStackTrace" : "def test_term_pr1():\u000a nzm = 11\u000a rng = np.random.default_rng(22)\u000a C4 = rng.uniform(3.0, 6.0, (_NG, 1)); C14 = rng.uniform(0.5, 2.0, (_NG, 1))\u000a xbp2 = rng.uniform(1e-3, 2.0, (_NG, nzm)); wp2 = rng.uniform(1e-3, 2.0, (_NG, nzm))\u000a itau4 = rng.uniform(1e-3, 1e-2, (_NG, nzm)); itau14 = rng.uniform(1e-3, 1e-2, (_NG, nzm))\u000a> j = np.asarray(term_pr1(jnp.asarray(C4), jnp.asarray(C14), jnp.asarray(xbp2), jnp.asarray(wp2),\u000a jnp.asarray(itau4), jnp.asarray(itau14), w_tol_sqd))\u000aE ValueError: Non-hashable static arguments are not supported. An error occurred while trying to hash an object of type , [[4.09904075]\u000aE [3.59788614]]. The error was:\u000aE TypeError: unhashable type: 'jaxlib._jax.ArrayImpl'\u000a\u000aclubb_jax/pytests/auto_llm_generated_pytests/test_xp2_xpyp_terms.py:60: ValueError", "failedSince" : 4, "flakyFailures" : [ ], "name" : "test_term_pr1", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "FAILED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 1, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_xp2_xpyp_terms", "duration" : 0.003, "errorDetails" : "ValueError: Non-hashable static arguments are not supported. An error occurred while trying to hash an object of type , [[0.37757323]\u000a [0.35658329]]. The error was:\u000aTypeError: unhashable type: 'jaxlib._jax.ArrayImpl'", "errorStackTrace" : "def test_term_pr2():\u000a gr = setup_grid(ngrdcol=_NG, deltaz=_DZ, zm_init=0.0, zm_top=_ZTOP, grid_type=1)\u000a nzm = gr.zm.shape[1]; nzt = nzm - 1\u000a invrs_dzm = np.asarray(gr.invrs_dzm)\u000a rng = np.random.default_rng(23)\u000a C_uu_shr = rng.uniform(0.1, 0.5, (_NG, 1)); C_uu_buoy = rng.uniform(0.1, 0.5, (_NG, 1))\u000a thv = rng.uniform(290.0, 320.0, (_NG, nzm)); wpthvp = rng.uniform(-0.05, 0.2, (_NG, nzm))\u000a upwp = rng.uniform(-0.5, 0.5, (_NG, nzm)); vpwp = rng.uniform(-0.5, 0.5, (_NG, nzm))\u000a um = rng.uniform(-15.0, 15.0, (_NG, nzt)); vm = rng.uniform(-15.0, 15.0, (_NG, nzt))\u000a> j = np.asarray(term_pr2(jnp.asarray(C_uu_shr), jnp.asarray(C_uu_buoy), jnp.asarray(thv),\u000a jnp.asarray(wpthvp), jnp.asarray(upwp), jnp.asarray(vpwp),\u000a jnp.asarray(um), jnp.asarray(vm), gr))\u000aE ValueError: Non-hashable static arguments are not supported. An error occurred while trying to hash an object of type , [[0.37757323]\u000aE [0.35658329]]. The error was:\u000aE TypeError: unhashable type: 'jaxlib._jax.ArrayImpl'\u000a\u000aclubb_jax/pytests/auto_llm_generated_pytests/test_xp2_xpyp_terms.py:80: ValueError", "failedSince" : 4, "flakyFailures" : [ ], "name" : "test_term_pr2", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "FAILED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 1, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_xp2_xpyp_terms", "duration" : 0.001, "errorDetails" : "ValueError: Non-hashable static arguments are not supported. An error occurred while trying to hash an object of type , [[0.72751079 0.8698369 1.19200186 1.06215956 1.17200376 1.18240589\u000a 1.76082141 0.26421788 1.51070301 1.6586978 1.45310413]\u000a [0.87885865 1.89161217 0.15880336 1.62558594 1.24389239 0.17813984\u000a 0.73155888 0.81871803 0.43448612 1.32094161 0.9345577 ]]. The error was:\u000aTypeError: unhashable type: 'jaxlib._jax.ArrayImpl'", "errorStackTrace" : "def test_term_dp1():\u000a \"\"\"term_dp1_lhs (F90:5729) main-diagonal +(Cn/tau) [interior, BC 0]; term_dp1_rhs (F90:5809) explicit\u000a +(Cn/tau)·threshold [ALL levels incl. boundaries]. The DP1 dissipation terms missed by iter 492.\"\"\"\u000a nzm = 11\u000a rng = np.random.default_rng(24)\u000a Cn = rng.uniform(0.1, 2.0, (_NG, nzm)); itau = rng.uniform(1e-3, 1e-2, (_NG, nzm)); thr = 1e-8\u000a> jl = np.asarray(term_dp1_lhs(jnp.asarray(Cn), jnp.asarray(itau)))\u000a ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u000aE ValueError: Non-hashable static arguments are not supported. An error occurred while trying to hash an object of type , [[0.72751079 0.8698369 1.19200186 1.06215956 1.17200376 1.18240589\u000aE 1.76082141 0.26421788 1.51070301 1.6586978 1.45310413]\u000aE [0.87885865 1.89161217 0.15880336 1.62558594 1.24389239 0.17813984\u000aE 0.73155888 0.81871803 0.43448612 1.32094161 0.9345577 ]]. The error was:\u000aE TypeError: unhashable type: 'jaxlib._jax.ArrayImpl'\u000a\u000aclubb_jax/pytests/auto_llm_generated_pytests/test_xp2_xpyp_terms.py:104: ValueError", "failedSince" : 4, "flakyFailures" : [ ], "name" : "test_term_dp1", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "FAILED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 1, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_xpyp_term_ta_godunov", "duration" : 0.192, "errorDetails" : "ValueError: Non-hashable static arguments are not supported. An error occurred while trying to hash an object of type , [[ 0.50038187 1.5888552 1.10274276 -1.09917124 -0.79933486 1.49421378\u000a -1.97893878 1.28491367 1.18827772 -0.12826019 -0.78787029 -0.88629755\u000a -0.98052165 -0.21969478 0.01819304 0.21398941 1.98200113 1.17064768\u000a 0.48871692 1.95584059 -1.13876521 -1.35915186 0.45015842 -1.82423197\u000a -1.85727888 0.05955528 -0.1351759 1.66867109 0.51690502 0.05647059]\u000a [-0.01250626 -1.00994031 -1.9528239 -1.23039142 0.76812848 -1.1975731\u000a -0.52185476 -1.98506303 1.32019092 -1.38215568 -0.92960278 1.52132862\u000a 0.03916324 1.38860099 0.55886867 0.96708379 -1.63401758 0.16457529\u000a 0.03108895 1.48535751 -0.55494376 0.39273627 -1.76299343 -0.4494728\u000a -0.70785461 -1.39920108 1.26535242 -0.48221531 1.91499154 0.35996677]]. The error was:\u000aTypeError: unhashable type: 'numpy.ndarray'", "errorStackTrace" : "def test_f2py_oracle():\u000a try:\u000a import clubb_f2py\u000a from clubb_python import clubb_api\u000a from clubb_python.derived_types.err_info import ErrInfo\u000a except ModuleNotFoundError as e:\u000a if (e.name or \"\").split(\".\")[0] not in {\"clubb_f2py\", \"clubb_python\", \"netCDF4\"}:\u000a raise\u000a pytest.skip(f\" f2py xpyp_term_ta_*_godunov oracle: SKIP ({type(e).__name__})\")\u000a jgr = setup_grid(ngrdcol=_NG, deltaz=_DZ, zm_init=0.0, zm_top=_ZTOP, grid_type=1)\u000a ng, nzm = jgr.zm.shape\u000a nzt = nzm - 1\u000a clubb_api.init_err_info(ng)\u000a cf = clubb_api.get_default_config_flags(); clubb_api.init_config_flags(cf)\u000a clubb_api.setup_grid(nzmax=nzm, ngrdcol=ng, sfc_elevation=np.zeros(ng),\u000a l_implemented=False, l_ascending_grid=True, grid_type=2,\u000a deltaz=np.full(ng, _DZ), zm_init=np.zeros(ng), zm_top=np.full(ng, float(jgr.zm[0, -1])),\u000a momentum_heights=np.asfortranarray(np.asarray(jgr.zm)),\u000a thermodynamic_heights=np.asfortranarray(np.asarray(jgr.zt)),\u000a err_info=ErrInfo(ngrdcol=ng))\u000a # Pull the EXACT stored grid so the JAX side uses identical invrs_dzm / grid_dir.\u000a g = clubb_f2py.get_grid(ng, nzm, nzt)\u000a invrs_dzm = np.asarray(g[4]); grid_dir = float(g[13])\u000a shim = _GridShim(invrs_dzm=jnp.asarray(invrs_dzm))\u000a \u000a rng = np.random.default_rng(7)\u000a worst = 0.0\u000a for _ in range(3):\u000a coef = rng.uniform(-2, 2, (ng, nzt)) # zt-level implicit coef (sign drives upwind split)\u000a irho = rng.uniform(0.5, 1.5, (ng, nzm))\u000a rho_zm = rng.uniform(0.5, 1.2, (ng, nzm))\u000a term_zm = rng.uniform(-1, 1, (ng, nzm))\u000a sgn = np.sign(rng.uniform(-1, 1, (ng, nzt))) # ±1 turbulent-velocity sign\u000a \u000a f_lhs = np.asarray(clubb_f2py.f2py_xpyp_term_ta_pdf_lhs_godunov(coef, irho, rho_zm))\u000a> j_lhs = np.asarray(xpyp_term_ta_pdf_lhs_godunov(coef, irho, rho_zm, shim, grid_dir))\u000a ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u000aE ValueError: Non-hashable static arguments are not supported. An error occurred while trying to hash an object of type , [[ 0.50038187 1.5888552 1.10274276 -1.09917124 -0.79933486 1.49421378\u000aE -1.97893878 1.28491367 1.18827772 -0.12826019 -0.78787029 -0.88629755\u000aE -0.98052165 -0.21969478 0.01819304 0.21398941 1.98200113 1.17064768\u000aE 0.48871692 1.95584059 -1.13876521 -1.35915186 0.45015842 -1.82423197\u000aE -1.85727888 0.05955528 -0.1351759 1.66867109 0.51690502 0.05647059]\u000aE [-0.01250626 -1.00994031 -1.9528239 -1.23039142 0.76812848 -1.1975731\u000aE -0.52185476 -1.98506303 1.32019092 -1.38215568 -0.92960278 1.52132862\u000aE 0.03916324 1.38860099 0.55886867 0.96708379 -1.63401758 0.16457529\u000aE 0.03108895 1.48535751 -0.55494376 0.39273627 -1.76299343 -0.4494728\u000aE -0.70785461 -1.39920108 1.26535242 -0.48221531 1.91499154 0.35996677]]. The error was:\u000aE TypeError: unhashable type: 'numpy.ndarray'\u000a\u000aclubb_jax/pytests/auto_llm_generated_pytests/test_xpyp_term_ta_godunov.py:73: ValueError", "failedSince" : 4, "flakyFailures" : [ ], "name" : "test_f2py_oracle", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "FAILED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 1, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_xpyp_term_ta_godunov", "duration" : 0.052, "errorDetails" : "ValueError: Non-hashable static arguments are not supported. An error occurred while trying to hash an object of type , [[-0.95355146 -0.80603543 1.25690296 -1.63233623 0.4004021 0.91424211\u000a -1.24839571 -1.77941349 -0.90012253]\u000a [ 0.62973206 0.24906265 -1.39975095 -0.26947684 0.67718919 -0.30886131\u000a 0.5327376 1.86974381 0.73225929]]. The error was:\u000aTypeError: unhashable type: 'numpy.ndarray'", "errorStackTrace" : "def test_boundaries_and_grad():\u000a ng, nzm, nzt = 2, 10, 9\u000a jgr = setup_grid(ngrdcol=ng, deltaz=_DZ, zm_init=0.0, zm_top=(nzm - 1) * _DZ, grid_type=1)\u000a rng = np.random.default_rng(2)\u000a coef = rng.uniform(-2, 2, (ng, nzt)); irho = rng.uniform(0.5, 1.5, (ng, nzm))\u000a rho_zm = rng.uniform(0.5, 1.2, (ng, nzm)); term_zm = rng.uniform(-1, 1, (ng, nzm))\u000a sgn = np.sign(rng.uniform(-1, 1, (ng, nzt)))\u000a> lhs = np.asarray(xpyp_term_ta_pdf_lhs_godunov(coef, irho, rho_zm, jgr, jgr.grid_dir))\u000a ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u000aE ValueError: Non-hashable static arguments are not supported. An error occurred while trying to hash an object of type , [[-0.95355146 -0.80603543 1.25690296 -1.63233623 0.4004021 0.91424211\u000aE -1.24839571 -1.77941349 -0.90012253]\u000aE [ 0.62973206 0.24906265 -1.39975095 -0.26947684 0.67718919 -0.30886131\u000aE 0.5327376 1.86974381 0.73225929]]. The error was:\u000aE TypeError: unhashable type: 'numpy.ndarray'\u000a\u000aclubb_jax/pytests/auto_llm_generated_pytests/test_xpyp_term_ta_godunov.py:88: ValueError", "failedSince" : 4, "flakyFailures" : [ ], "name" : "test_boundaries_and_grad", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "FAILED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_xpyp_term_ta_pdf", "duration" : 0.544, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_f2py_oracle", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null }, { "testActions" : [ ], "age" : 0, "className" : "clubb_jax.pytests.auto_llm_generated_pytests.test_xpyp_term_ta_pdf", "duration" : 0.668, "errorDetails" : null, "errorStackTrace" : null, "failedSince" : 0, "flakyFailures" : [ ], "name" : "test_differentiable", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "PASSED", "stderr" : null, "stdout" : null } ], "duration" : 1567.8429, "enclosingBlockNames" : [ "Declarative: Post Actions" ], "enclosingBlocks" : [ "56" ], "id" : null, "name" : "pytest", "nodeId" : "57", "properties" : { }, "stderr" : null, "stdout" : null, "timestamp" : "2026-10-05T04:22:54.196230-05:00" }, { "cases" : [ { "testActions" : [ ], "age" : 1, "className" : "auto_llm_generated_pytests/test_close_luhar_pdf.py", "duration" : 0.0, "errorDetails" : "Module process exited 139 before writing its pytest report; see the console.", "errorStackTrace" : "Module process exited 139 before writing its pytest report; see the console.", "failedSince" : 4, "flakyFailures" : [ ], "name" : "pytest_module_process", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "FAILED", "stderr" : null, "stdout" : null } ], "duration" : 0.0, "enclosingBlockNames" : [ "Declarative: Post Actions" ], "enclosingBlocks" : [ "56" ], "id" : null, "name" : "auto_llm_generated_pytests_test_close_luhar_pdf.py", "nodeId" : "57", "properties" : { }, "stderr" : null, "stdout" : null, "timestamp" : null }, { "cases" : [ { "testActions" : [ ], "age" : 1, "className" : "auto_llm_generated_pytests/test_new_hybrid_pdf_main.py", "duration" : 0.0, "errorDetails" : "Module process exited 2 before writing its pytest report; see the console.", "errorStackTrace" : "Module process exited 2 before writing its pytest report; see the console.", "failedSince" : 4, "flakyFailures" : [ ], "name" : "pytest_module_process", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "FAILED", "stderr" : null, "stdout" : null } ], "duration" : 0.0, "enclosingBlockNames" : [ "Declarative: Post Actions" ], "enclosingBlocks" : [ "56" ], "id" : null, "name" : "auto_llm_generated_pytests_test_new_hybrid_pdf_main.py", "nodeId" : "57", "properties" : { }, "stderr" : null, "stdout" : null, "timestamp" : null }, { "cases" : [ { "testActions" : [ ], "age" : 1, "className" : "auto_llm_generated_pytests/test_new_pdf_main.py", "duration" : 0.0, "errorDetails" : "Module process exited 2 before writing its pytest report; see the console.", "errorStackTrace" : "Module process exited 2 before writing its pytest report; see the console.", "failedSince" : 4, "flakyFailures" : [ ], "name" : "pytest_module_process", "properties" : { }, "rerunFailures" : [ ], "skipped" : false, "skippedMessage" : null, "status" : "FAILED", "stderr" : null, "stdout" : null } ], "duration" : 0.0, "enclosingBlockNames" : [ "Declarative: Post Actions" ], "enclosingBlocks" : [ "56" ], "id" : null, "name" : "auto_llm_generated_pytests_test_new_pdf_main.py", "nodeId" : "57", "properties" : { }, "stderr" : null, "stdout" : null, "timestamp" : null } ] }