{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Visualizing File Changes Across Commits\n", "\n", "This notebook analyzes differences in files across multiple tardis-regression-data commits. There are two main approaches to get tardis-regression-data commits:\n", "\n", "### Method 1: Run pytest on tardis commits and generate regression commits (False commits)\n", "\n", "To fetch tardis commits, you have three options:\n", "\n", "- Run pytest on latest n tardis commits\n", "- Run pytest on str or list of multiple tardis commits\n", "\n", "### Method 2: Directly use tardis-regression-data repo commits\n", "\n", "To get those commits, you have two options:\n", "\n", "- Manually provide a list of multiple tardis-regression-data commits\n", "- Get last n tardis-regression-data commits\n", "\n", "### Note:\n", "By default this notebook runs pytest on latest n tardis commits and generates false regression commits to analyze difference." ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "INFO:numexpr.utils:Note: detected 192 virtual cores but NumExpr set to maximum of 64, check \"NUMEXPR_MAX_THREADS\" environment variable.\n", "INFO:numexpr.utils:Note: NumExpr detected 192 cores but \"NUMEXPR_MAX_THREADS\" not set, so enforcing safe limit of 16.\n", "INFO:numexpr.utils:NumExpr defaulting to 16 threads.\n" ] } ], "source": [ "from tardisbase.testing.regression_comparison.run_tests import run_tests\n", "from tardisbase.testing.regression_comparison.visualize_files import MultiCommitCompare\n", "from tardisbase.testing.regression_comparison.util import get_last_n_commits\n", "import pandas as pd" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Display Configuration" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "# Configure pandas display options for better visualization\n", "pd.set_option('display.max_colwidth', None)\n", "pd.set_option('display.width', None)\n", "pd.set_option('display.max_columns', None)\n", "pd.set_option('display.max_rows', None)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Setup Configuration" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "# Configuration for the analysis\n", "config = {\n", " \"tardis_repo_path\": \"/path/to/tardis/repo\",\n", " \"regression_data_repo_path\": \"/path/to/tardis/regression/data/repo\",\n", " \"branch\": \"master\",\n", " \"n\": 3, # Last n commits \n", " # \"commits\": [\"300e565e83112528faaa76e970057ffb1b13f743\", \"2a06fdfb60190bbd9b49ff572d78772607138660\", \"2d775dcd1c486227532f537fc41066e942000e56\"], # Uncomment for specific commits\n", " \"conda_manager\": \"conda\"\n", "}" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Method 1: Run pytest on tardis commits to generate false regression data commits\n", "\n", "### Case 1: Test latest N TARDIS commits\n", "Important Note: \n", "1. Comment out `commits` from config\n", "2. Provide the value of `n` in config\n", "3. To forcely recreate new enviornment each time even when enviornment already exist, do `force_recreate` as `True`\n", "4. Either provide entire \"tardis\" module or selective path like \"tardis/spectrum/tests/test_spectrum_solver.py\" in `test_path`\n", "5. Provide path to default current enviornment in `default_curr_env`\n", "6. If you want to use default current enviornment only without creating new enviornment each time, do `use_new_envs` as `False`." ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "INFO:tardisbase.testing.regression_comparison.run_tests:Original HEAD of regression data repo: 08b5aa8c3233eef19eb08440b85eab2659e6759e\n", "INFO:tardisbase.testing.regression_comparison.run_tests:Processing commit 1/3: 701bb18916886ecf2797b0dda4843750f69592da\n", "INFO:tardisbase.testing.regression_comparison.run_tests:Creating conda environment: tardis-test-701bb189\n", "INFO:tardisbase.testing.regression_comparison.run_tests:Checking if environment tardis-test-701bb189 exists...\n", "INFO:tardisbase.testing.regression_comparison.run_tests:Environment tardis-test-701bb189 exists, removing it for recreation...\n", "INFO:tardisbase.testing.regression_comparison.run_tests:Creating conda environment: conda create --name tardis-test-701bb189 --file /tmp/tmpps36t3m4.lock -y\n", "INFO:tardisbase.testing.regression_comparison.run_tests:Installing TARDIS with all extras ['viz', 'tardisbase']: conda run -n tardis-test-701bb189 pip install -e /home/riddhigangbhoj/tardis-work/tardis[viz,tardisbase]\n", "INFO:tardisbase.testing.regression_comparison.run_tests:\n", "=== Phase 1: Running 'not continuum' tests for commit 701bb18916886ecf2797b0dda4843750f69592da ===\n", "INFO:tardisbase.testing.regression_comparison.run_tests:Running not continuum tests: conda run -n tardis-test-701bb189 python -m pytest tardis --tardis-regression-data=/home/riddhigangbhoj/tardis-work/tardis-regression-data --generate-reference --disable-warnings -m not continuum\n", "WARNING:tardisbase.testing.regression_comparison.run_tests:'not continuum' tests had failures for commit 701bb18916886ecf2797b0dda4843750f69592da\n", "INFO:tardisbase.testing.regression_comparison.run_tests:Stdout: \u001b[1m============================= test session 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"\u001b[0mWWWWWWWWWWWWWW\u001b[33ms\u001b[0m\u001b[33ms\u001b[0m\u001b[33ms\u001b[0m\u001b[33ms\u001b[0m\u001b[33ms\u001b[0m\u001b[33ms\u001b[0m\u001b[33ms\u001b[0m\u001b[33ms\u001b[0m\u001b[33ms\u001b[0m\u001b[33ms\u001b[0m\u001b[33ms\u001b[0m\u001b[33ms\u001b[0m\u001b[33ms\u001b[0m\u001b[33ms\u001b[0m\u001b[33ms\u001b[0m\u001b[33ms\u001b[0m\u001b[32m.\u001b[0m\u001b[31m [ 95%]\u001b[0m\n", "tardis/visualization/widgets/tests/test_custom_abundance.py \u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[33ms\u001b[0m\u001b[33ms\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[31m [ 96%]\n", "\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[31m [ 96%]\u001b[0m\n", "tardis/visualization/widgets/tests/test_line_info.py 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\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[31m [ 99%]\n", "\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[31m [100%]\u001b[0m\n", "\n", "=================================== FAILURES ===================================\n", "\u001b[31m\u001b[1m__________ test_intensity_black_body_cuda[100000000000000.0-10000.0] ___________\u001b[0m\n", "\n", "nu = 100000000000000.0, temperature = 10000.0\n", "\n", " \u001b[0m\u001b[37m@pytest\u001b[39;49;00m.mark.skipif(\u001b[90m\u001b[39;49;00m\n", " \u001b[95mnot\u001b[39;49;00m GPUs_available, reason=\u001b[33m\"\u001b[39;49;00m\u001b[33mNo GPU is available to test CUDA function\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n", " )\u001b[90m\u001b[39;49;00m\n", " \u001b[37m@pytest\u001b[39;49;00m.mark.parametrize(\u001b[90m\u001b[39;49;00m\n", " [\u001b[33m\"\u001b[39;49;00m\u001b[33mnu\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m, \u001b[33m\"\u001b[39;49;00m\u001b[33mtemperature\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m],\u001b[90m\u001b[39;49;00m\n", " [\u001b[90m\u001b[39;49;00m\n", " (\u001b[94m1e14\u001b[39;49;00m, \u001b[94m1e4\u001b[39;49;00m),\u001b[90m\u001b[39;49;00m\n", " (\u001b[94m0\u001b[39;49;00m, \u001b[94m1\u001b[39;49;00m),\u001b[90m\u001b[39;49;00m\n", " (\u001b[94m1\u001b[39;49;00m, \u001b[94m1\u001b[39;49;00m),\u001b[90m\u001b[39;49;00m\n", " ],\u001b[90m\u001b[39;49;00m\n", " )\u001b[90m\u001b[39;49;00m\n", " \u001b[94mdef\u001b[39;49;00m\u001b[90m \u001b[39;49;00m\u001b[92mtest_intensity_black_body_cuda\u001b[39;49;00m(nu, temperature):\u001b[90m\u001b[39;49;00m\n", " \u001b[90m \u001b[39;49;00m\u001b[33m\"\"\"\u001b[39;49;00m\n", " \u001b[33m Initializes the test of the cuda version\u001b[39;49;00m\n", " \u001b[33m against the numba implementation of the\u001b[39;49;00m\n", " \u001b[33m intensity_black_body to 15 decimals. This\u001b[39;49;00m\n", " \u001b[33m is done as both results have 15 digits of precision.\u001b[39;49;00m\n", " \u001b[33m \"\"\"\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n", " actual = np.zeros(\u001b[94m3\u001b[39;49;00m)\u001b[90m\u001b[39;49;00m\n", "> black_body_caller[\u001b[94m1\u001b[39;49;00m, \u001b[94m3\u001b[39;49;00m](nu, temperature, actual)\u001b[90m\u001b[39;49;00m\n", "\n", "\u001b[1m\u001b[31mtardis/spectrum/formal_integral/tests/test_cuda_formal_integral.py\u001b[0m:48: \n", "_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-701bb189/lib/python3.13/site-packages/numba/cuda/dispatcher.py\u001b[0m:539: in __call__\n", " \u001b[0m\u001b[94mreturn\u001b[39;49;00m \u001b[96mself\u001b[39;49;00m.dispatcher.call(args, \u001b[96mself\u001b[39;49;00m.griddim, \u001b[96mself\u001b[39;49;00m.blockdim,\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-701bb189/lib/python3.13/site-packages/numba/cuda/dispatcher.py\u001b[0m:681: in call\n", " \u001b[0mkernel = _dispatcher.Dispatcher._cuda_call(\u001b[96mself\u001b[39;49;00m, *args)\u001b[90m\u001b[39;49;00m\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-701bb189/lib/python3.13/site-packages/numba/cuda/dispatcher.py\u001b[0m:689: in _compile_for_args\n", " \u001b[0m\u001b[94mreturn\u001b[39;49;00m \u001b[96mself\u001b[39;49;00m.compile(\u001b[96mtuple\u001b[39;49;00m(argtypes))\u001b[90m\u001b[39;49;00m\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-701bb189/lib/python3.13/site-packages/numba/cuda/dispatcher.py\u001b[0m:932: in compile\n", " \u001b[0mkernel = _Kernel(\u001b[96mself\u001b[39;49;00m.py_func, argtypes, **\u001b[96mself\u001b[39;49;00m.targetoptions)\u001b[90m\u001b[39;49;00m\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-701bb189/lib/python3.13/site-packages/numba/core/compiler_lock.py\u001b[0m:35: in _acquire_compile_lock\n", " \u001b[0m\u001b[94mreturn\u001b[39;49;00m func(*args, **kwargs)\u001b[90m\u001b[39;49;00m\n", " ^^^^^^^^^^^^^^^^^^^^^\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-701bb189/lib/python3.13/site-packages/numba/cuda/dispatcher.py\u001b[0m:83: in __init__\n", " \u001b[0mcres = compile_cuda(\u001b[96mself\u001b[39;49;00m.py_func, types.void, \u001b[96mself\u001b[39;49;00m.argtypes,\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-701bb189/lib/python3.13/site-packages/numba/core/compiler_lock.py\u001b[0m:35: in _acquire_compile_lock\n", " \u001b[0m\u001b[94mreturn\u001b[39;49;00m func(*args, **kwargs)\u001b[90m\u001b[39;49;00m\n", " ^^^^^^^^^^^^^^^^^^^^^\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-701bb189/lib/python3.13/site-packages/numba/cuda/compiler.py\u001b[0m:196: in compile_cuda\n", " \u001b[0mcres = compiler.compile_extra(typingctx=typingctx,\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-701bb189/lib/python3.13/site-packages/numba/core/compiler.py\u001b[0m:739: in compile_extra\n", " \u001b[0m\u001b[94mreturn\u001b[39;49;00m pipeline.compile_extra(func)\u001b[90m\u001b[39;49;00m\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-701bb189/lib/python3.13/site-packages/numba/core/compiler.py\u001b[0m:439: in compile_extra\n", " \u001b[0m\u001b[94mreturn\u001b[39;49;00m \u001b[96mself\u001b[39;49;00m._compile_bytecode()\u001b[90m\u001b[39;49;00m\n", " ^^^^^^^^^^^^^^^^^^^^^^^^\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-701bb189/lib/python3.13/site-packages/numba/core/compiler.py\u001b[0m:505: in _compile_bytecode\n", " \u001b[0m\u001b[94mreturn\u001b[39;49;00m \u001b[96mself\u001b[39;49;00m._compile_core()\u001b[90m\u001b[39;49;00m\n", " ^^^^^^^^^^^^^^^^^^^^\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-701bb189/lib/python3.13/site-packages/numba/core/compiler.py\u001b[0m:484: in _compile_core\n", " \u001b[0m\u001b[94mraise\u001b[39;49;00m e\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-701bb189/lib/python3.13/site-packages/numba/core/compiler.py\u001b[0m:473: in _compile_core\n", " \u001b[0mpm.run(\u001b[96mself\u001b[39;49;00m.state)\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-701bb189/lib/python3.13/site-packages/numba/core/compiler_machinery.py\u001b[0m:367: in run\n", " \u001b[0m\u001b[94mraise\u001b[39;49;00m patched_exception\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-701bb189/lib/python3.13/site-packages/numba/core/compiler_machinery.py\u001b[0m:356: in run\n", " \u001b[0m\u001b[96mself\u001b[39;49;00m._runPass(idx, pass_inst, state)\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-701bb189/lib/python3.13/site-packages/numba/core/compiler_lock.py\u001b[0m:35: in _acquire_compile_lock\n", " \u001b[0m\u001b[94mreturn\u001b[39;49;00m func(*args, **kwargs)\u001b[90m\u001b[39;49;00m\n", " ^^^^^^^^^^^^^^^^^^^^^\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-701bb189/lib/python3.13/site-packages/numba/core/compiler_machinery.py\u001b[0m:311: in _runPass\n", " \u001b[0mmutated |= check(pss.run_pass, internal_state)\u001b[90m\u001b[39;49;00m\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-701bb189/lib/python3.13/site-packages/numba/core/compiler_machinery.py\u001b[0m:272: in check\n", " \u001b[0mmangled = func(compiler_state)\u001b[90m\u001b[39;49;00m\n", " ^^^^^^^^^^^^^^^^^^^^\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-701bb189/lib/python3.13/site-packages/numba/core/typed_passes.py\u001b[0m:112: in run_pass\n", " \u001b[0mtypemap, return_type, calltypes, errs = type_inference_stage(\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-701bb189/lib/python3.13/site-packages/numba/core/typed_passes.py\u001b[0m:93: in type_inference_stage\n", " \u001b[0merrs = infer.propagate(raise_errors=raise_errors)\u001b[90m\u001b[39;49;00m\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u001b[90m\u001b[39;49;00m\n", "_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n", "\n", "self = \n", "raise_errors = True\n", "\n", " \u001b[0m\u001b[94mdef\u001b[39;49;00m\u001b[90m \u001b[39;49;00m\u001b[92mpropagate\u001b[39;49;00m(\u001b[96mself\u001b[39;49;00m, raise_errors=\u001b[94mTrue\u001b[39;49;00m):\u001b[90m\u001b[39;49;00m\n", " newtoken = \u001b[96mself\u001b[39;49;00m.get_state_token()\u001b[90m\u001b[39;49;00m\n", " oldtoken = \u001b[94mNone\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n", " \u001b[90m# Since the number of types are finite, the typesets will eventually\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n", " \u001b[90m# stop growing.\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n", " \u001b[90m\u001b[39;49;00m\n", " \u001b[94mwhile\u001b[39;49;00m newtoken != oldtoken:\u001b[90m\u001b[39;49;00m\n", " \u001b[96mself\u001b[39;49;00m.debug.propagate_started()\u001b[90m\u001b[39;49;00m\n", " oldtoken = newtoken\u001b[90m\u001b[39;49;00m\n", " \u001b[90m# Errors can appear when the type set is incomplete; only\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n", " \u001b[90m# raise them when there is no progress anymore.\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n", " errors = \u001b[96mself\u001b[39;49;00m.constraints.propagate(\u001b[96mself\u001b[39;49;00m)\u001b[90m\u001b[39;49;00m\n", " newtoken = \u001b[96mself\u001b[39;49;00m.get_state_token()\u001b[90m\u001b[39;49;00m\n", " \u001b[96mself\u001b[39;49;00m.debug.propagate_finished()\u001b[90m\u001b[39;49;00m\n", " \u001b[94mif\u001b[39;49;00m errors:\u001b[90m\u001b[39;49;00m\n", " \u001b[94mif\u001b[39;49;00m raise_errors:\u001b[90m\u001b[39;49;00m\n", " force_lit_args = [e \u001b[94mfor\u001b[39;49;00m e \u001b[95min\u001b[39;49;00m errors\u001b[90m\u001b[39;49;00m\n", " \u001b[94mif\u001b[39;49;00m \u001b[96misinstance\u001b[39;49;00m(e, ForceLiteralArg)]\u001b[90m\u001b[39;49;00m\n", " \u001b[94mif\u001b[39;49;00m \u001b[95mnot\u001b[39;49;00m force_lit_args:\u001b[90m\u001b[39;49;00m\n", "> \u001b[94mraise\u001b[39;49;00m errors[\u001b[94m0\u001b[39;49;00m]\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31mE numba.core.errors.TypingError: Failed in cuda mode pipeline (step: nopython frontend)\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[1m\u001b[1m\u001b[1mFailed in cuda mode pipeline (step: nopython frontend)\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[1m\u001b[1m\u001b[1mUse of unsupported NumPy function 'numpy.exp' or unsupported use of the function.\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[1m\u001b[0m\n", "\u001b[1m\u001b[31mE File \"tardis/spectrum/formal_integral/base.py\", line 104:\u001b[0m\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[1mdef intensity_black_body(nu, temperature):\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m\n", "\u001b[1m\u001b[31mE coefficient = 2 * H_CGS * C_INV * C_INV\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[1m return coefficient * nu * nu * nu / (np.exp(H_CGS * nu * beta_rad) - 1)\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m \u001b[1m^\u001b[0m\u001b[0m\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m\u001b[1mDuring: typing of get attribute at /home/riddhigangbhoj/tardis-work/tardis/tardis/spectrum/formal_integral/base.py (104)\u001b[0m\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[1m\u001b[0m\n", "\u001b[1m\u001b[31mE File \"tardis/spectrum/formal_integral/base.py\", line 104:\u001b[0m\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[1mdef intensity_black_body(nu, temperature):\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m\n", "\u001b[1m\u001b[31mE coefficient = 2 * H_CGS * C_INV * C_INV\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[1m return coefficient * nu * nu * nu / (np.exp(H_CGS * nu * beta_rad) - 1)\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m \u001b[1m^\u001b[0m\u001b[0m\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m\u001b[1mDuring: Pass nopython_type_inference\u001b[0m\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m\u001b[1mDuring: resolving callee type: type(CUDADispatcher())\u001b[0m\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m\u001b[1mDuring: typing of call at /home/riddhigangbhoj/tardis-work/tardis/tardis/spectrum/formal_integral/tests/test_cuda_formal_integral.py (22)\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[1m\u001b[0m\n", "\u001b[1m\u001b[31mE File \"tardis/spectrum/formal_integral/tests/test_cuda_formal_integral.py\", line 22:\u001b[0m\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[1mdef black_body_caller(nu, temperature, actual):\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m\n", "\u001b[1m\u001b[31mE x = cuda.grid(1)\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[1m actual[x] = formal_integral_cuda.intensity_black_body_cuda(nu, temperature)\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m \u001b[1m^\u001b[0m\u001b[0m\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m\u001b[1mDuring: Pass nopython_type_inference\u001b[0m\u001b[0m\n", "\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-701bb189/lib/python3.13/site-packages/numba/core/typeinfer.py\u001b[0m:1074: TypingError\n", "\u001b[31m\u001b[1m_____________________ test_intensity_black_body_cuda[0-1] ______________________\u001b[0m\n", "\n", "nu = 0, temperature = 1\n", "\n", " \u001b[0m\u001b[37m@pytest\u001b[39;49;00m.mark.skipif(\u001b[90m\u001b[39;49;00m\n", " \u001b[95mnot\u001b[39;49;00m GPUs_available, reason=\u001b[33m\"\u001b[39;49;00m\u001b[33mNo GPU is available to test CUDA function\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n", " )\u001b[90m\u001b[39;49;00m\n", " \u001b[37m@pytest\u001b[39;49;00m.mark.parametrize(\u001b[90m\u001b[39;49;00m\n", " [\u001b[33m\"\u001b[39;49;00m\u001b[33mnu\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m, \u001b[33m\"\u001b[39;49;00m\u001b[33mtemperature\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m],\u001b[90m\u001b[39;49;00m\n", " [\u001b[90m\u001b[39;49;00m\n", " (\u001b[94m1e14\u001b[39;49;00m, \u001b[94m1e4\u001b[39;49;00m),\u001b[90m\u001b[39;49;00m\n", " (\u001b[94m0\u001b[39;49;00m, \u001b[94m1\u001b[39;49;00m),\u001b[90m\u001b[39;49;00m\n", " (\u001b[94m1\u001b[39;49;00m, \u001b[94m1\u001b[39;49;00m),\u001b[90m\u001b[39;49;00m\n", " ],\u001b[90m\u001b[39;49;00m\n", " )\u001b[90m\u001b[39;49;00m\n", " \u001b[94mdef\u001b[39;49;00m\u001b[90m \u001b[39;49;00m\u001b[92mtest_intensity_black_body_cuda\u001b[39;49;00m(nu, temperature):\u001b[90m\u001b[39;49;00m\n", " \u001b[90m \u001b[39;49;00m\u001b[33m\"\"\"\u001b[39;49;00m\n", " \u001b[33m Initializes the test of the cuda version\u001b[39;49;00m\n", " \u001b[33m against the numba implementation of the\u001b[39;49;00m\n", " \u001b[33m intensity_black_body to 15 decimals. This\u001b[39;49;00m\n", " \u001b[33m is done as both results have 15 digits of precision.\u001b[39;49;00m\n", " \u001b[33m \"\"\"\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n", " actual = np.zeros(\u001b[94m3\u001b[39;49;00m)\u001b[90m\u001b[39;49;00m\n", "> black_body_caller[\u001b[94m1\u001b[39;49;00m, \u001b[94m3\u001b[39;49;00m](nu, temperature, actual)\u001b[90m\u001b[39;49;00m\n", "\n", "\u001b[1m\u001b[31mtardis/spectrum/formal_integral/tests/test_cuda_formal_integral.py\u001b[0m:48: \n", "_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-701bb189/lib/python3.13/site-packages/numba/cuda/dispatcher.py\u001b[0m:539: in __call__\n", " \u001b[0m\u001b[94mreturn\u001b[39;49;00m \u001b[96mself\u001b[39;49;00m.dispatcher.call(args, \u001b[96mself\u001b[39;49;00m.griddim, \u001b[96mself\u001b[39;49;00m.blockdim,\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-701bb189/lib/python3.13/site-packages/numba/cuda/dispatcher.py\u001b[0m:681: in call\n", " \u001b[0mkernel = _dispatcher.Dispatcher._cuda_call(\u001b[96mself\u001b[39;49;00m, *args)\u001b[90m\u001b[39;49;00m\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-701bb189/lib/python3.13/site-packages/numba/cuda/dispatcher.py\u001b[0m:689: in _compile_for_args\n", " \u001b[0m\u001b[94mreturn\u001b[39;49;00m \u001b[96mself\u001b[39;49;00m.compile(\u001b[96mtuple\u001b[39;49;00m(argtypes))\u001b[90m\u001b[39;49;00m\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-701bb189/lib/python3.13/site-packages/numba/cuda/dispatcher.py\u001b[0m:932: in compile\n", " \u001b[0mkernel = _Kernel(\u001b[96mself\u001b[39;49;00m.py_func, argtypes, **\u001b[96mself\u001b[39;49;00m.targetoptions)\u001b[90m\u001b[39;49;00m\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-701bb189/lib/python3.13/site-packages/numba/core/compiler_lock.py\u001b[0m:35: in _acquire_compile_lock\n", " \u001b[0m\u001b[94mreturn\u001b[39;49;00m func(*args, **kwargs)\u001b[90m\u001b[39;49;00m\n", " ^^^^^^^^^^^^^^^^^^^^^\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-701bb189/lib/python3.13/site-packages/numba/cuda/dispatcher.py\u001b[0m:83: in __init__\n", " \u001b[0mcres = compile_cuda(\u001b[96mself\u001b[39;49;00m.py_func, types.void, \u001b[96mself\u001b[39;49;00m.argtypes,\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-701bb189/lib/python3.13/site-packages/numba/core/compiler_lock.py\u001b[0m:35: in _acquire_compile_lock\n", " \u001b[0m\u001b[94mreturn\u001b[39;49;00m func(*args, **kwargs)\u001b[90m\u001b[39;49;00m\n", " ^^^^^^^^^^^^^^^^^^^^^\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-701bb189/lib/python3.13/site-packages/numba/cuda/compiler.py\u001b[0m:196: in compile_cuda\n", " \u001b[0mcres = compiler.compile_extra(typingctx=typingctx,\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-701bb189/lib/python3.13/site-packages/numba/core/compiler.py\u001b[0m:739: in compile_extra\n", " \u001b[0m\u001b[94mreturn\u001b[39;49;00m pipeline.compile_extra(func)\u001b[90m\u001b[39;49;00m\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-701bb189/lib/python3.13/site-packages/numba/core/compiler.py\u001b[0m:439: in compile_extra\n", " \u001b[0m\u001b[94mreturn\u001b[39;49;00m \u001b[96mself\u001b[39;49;00m._compile_bytecode()\u001b[90m\u001b[39;49;00m\n", " ^^^^^^^^^^^^^^^^^^^^^^^^\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-701bb189/lib/python3.13/site-packages/numba/core/compiler.py\u001b[0m:505: in _compile_bytecode\n", " \u001b[0m\u001b[94mreturn\u001b[39;49;00m \u001b[96mself\u001b[39;49;00m._compile_core()\u001b[90m\u001b[39;49;00m\n", " ^^^^^^^^^^^^^^^^^^^^\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-701bb189/lib/python3.13/site-packages/numba/core/compiler.py\u001b[0m:484: in _compile_core\n", " \u001b[0m\u001b[94mraise\u001b[39;49;00m e\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-701bb189/lib/python3.13/site-packages/numba/core/compiler.py\u001b[0m:473: in _compile_core\n", " \u001b[0mpm.run(\u001b[96mself\u001b[39;49;00m.state)\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-701bb189/lib/python3.13/site-packages/numba/core/compiler_machinery.py\u001b[0m:367: in run\n", " \u001b[0m\u001b[94mraise\u001b[39;49;00m patched_exception\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-701bb189/lib/python3.13/site-packages/numba/core/compiler_machinery.py\u001b[0m:356: in run\n", " \u001b[0m\u001b[96mself\u001b[39;49;00m._runPass(idx, pass_inst, state)\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-701bb189/lib/python3.13/site-packages/numba/core/compiler_lock.py\u001b[0m:35: in _acquire_compile_lock\n", " \u001b[0m\u001b[94mreturn\u001b[39;49;00m func(*args, **kwargs)\u001b[90m\u001b[39;49;00m\n", " ^^^^^^^^^^^^^^^^^^^^^\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-701bb189/lib/python3.13/site-packages/numba/core/compiler_machinery.py\u001b[0m:311: in _runPass\n", " \u001b[0mmutated |= check(pss.run_pass, internal_state)\u001b[90m\u001b[39;49;00m\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-701bb189/lib/python3.13/site-packages/numba/core/compiler_machinery.py\u001b[0m:272: in check\n", " \u001b[0mmangled = func(compiler_state)\u001b[90m\u001b[39;49;00m\n", " ^^^^^^^^^^^^^^^^^^^^\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-701bb189/lib/python3.13/site-packages/numba/core/typed_passes.py\u001b[0m:112: in run_pass\n", " \u001b[0mtypemap, return_type, calltypes, errs = type_inference_stage(\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-701bb189/lib/python3.13/site-packages/numba/core/typed_passes.py\u001b[0m:93: in type_inference_stage\n", " \u001b[0merrs = infer.propagate(raise_errors=raise_errors)\u001b[90m\u001b[39;49;00m\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u001b[90m\u001b[39;49;00m\n", "_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n", "\n", "self = \n", "raise_errors = True\n", "\n", " \u001b[0m\u001b[94mdef\u001b[39;49;00m\u001b[90m \u001b[39;49;00m\u001b[92mpropagate\u001b[39;49;00m(\u001b[96mself\u001b[39;49;00m, raise_errors=\u001b[94mTrue\u001b[39;49;00m):\u001b[90m\u001b[39;49;00m\n", " newtoken = \u001b[96mself\u001b[39;49;00m.get_state_token()\u001b[90m\u001b[39;49;00m\n", " oldtoken = \u001b[94mNone\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n", " \u001b[90m# Since the number of types are finite, the typesets will eventually\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n", " \u001b[90m# stop growing.\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n", " \u001b[90m\u001b[39;49;00m\n", " \u001b[94mwhile\u001b[39;49;00m newtoken != oldtoken:\u001b[90m\u001b[39;49;00m\n", " \u001b[96mself\u001b[39;49;00m.debug.propagate_started()\u001b[90m\u001b[39;49;00m\n", " oldtoken = newtoken\u001b[90m\u001b[39;49;00m\n", " \u001b[90m# Errors can appear when the type set is incomplete; only\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n", " \u001b[90m# raise them when there is no progress anymore.\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n", " errors = \u001b[96mself\u001b[39;49;00m.constraints.propagate(\u001b[96mself\u001b[39;49;00m)\u001b[90m\u001b[39;49;00m\n", " newtoken = \u001b[96mself\u001b[39;49;00m.get_state_token()\u001b[90m\u001b[39;49;00m\n", " \u001b[96mself\u001b[39;49;00m.debug.propagate_finished()\u001b[90m\u001b[39;49;00m\n", " \u001b[94mif\u001b[39;49;00m errors:\u001b[90m\u001b[39;49;00m\n", " \u001b[94mif\u001b[39;49;00m raise_errors:\u001b[90m\u001b[39;49;00m\n", " force_lit_args = [e \u001b[94mfor\u001b[39;49;00m e \u001b[95min\u001b[39;49;00m errors\u001b[90m\u001b[39;49;00m\n", " \u001b[94mif\u001b[39;49;00m \u001b[96misinstance\u001b[39;49;00m(e, ForceLiteralArg)]\u001b[90m\u001b[39;49;00m\n", " \u001b[94mif\u001b[39;49;00m \u001b[95mnot\u001b[39;49;00m force_lit_args:\u001b[90m\u001b[39;49;00m\n", "> \u001b[94mraise\u001b[39;49;00m errors[\u001b[94m0\u001b[39;49;00m]\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31mE numba.core.errors.TypingError: Failed in cuda mode pipeline (step: nopython frontend)\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[1m\u001b[1m\u001b[1mFailed in cuda mode pipeline (step: nopython frontend)\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[1m\u001b[1m\u001b[1mUse of unsupported NumPy function 'numpy.exp' or unsupported use of the function.\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[1m\u001b[0m\n", "\u001b[1m\u001b[31mE File \"tardis/spectrum/formal_integral/base.py\", line 104:\u001b[0m\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[1mdef intensity_black_body(nu, temperature):\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m\n", "\u001b[1m\u001b[31mE coefficient = 2 * H_CGS * C_INV * C_INV\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[1m return coefficient * nu * nu * nu / (np.exp(H_CGS * nu * beta_rad) - 1)\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m \u001b[1m^\u001b[0m\u001b[0m\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m\u001b[1mDuring: typing of get attribute at /home/riddhigangbhoj/tardis-work/tardis/tardis/spectrum/formal_integral/base.py (104)\u001b[0m\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[1m\u001b[0m\n", "\u001b[1m\u001b[31mE File \"tardis/spectrum/formal_integral/base.py\", line 104:\u001b[0m\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[1mdef intensity_black_body(nu, temperature):\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m\n", "\u001b[1m\u001b[31mE coefficient = 2 * H_CGS * C_INV * C_INV\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[1m return coefficient * nu * nu * nu / (np.exp(H_CGS * nu * beta_rad) - 1)\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m \u001b[1m^\u001b[0m\u001b[0m\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m\u001b[1mDuring: Pass nopython_type_inference\u001b[0m\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m\u001b[1mDuring: resolving callee type: type(CUDADispatcher())\u001b[0m\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m\u001b[1mDuring: typing of call at /home/riddhigangbhoj/tardis-work/tardis/tardis/spectrum/formal_integral/tests/test_cuda_formal_integral.py (22)\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[1m\u001b[0m\n", "\u001b[1m\u001b[31mE File \"tardis/spectrum/formal_integral/tests/test_cuda_formal_integral.py\", line 22:\u001b[0m\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[1mdef black_body_caller(nu, temperature, actual):\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m\n", "\u001b[1m\u001b[31mE x = cuda.grid(1)\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[1m actual[x] = formal_integral_cuda.intensity_black_body_cuda(nu, temperature)\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m \u001b[1m^\u001b[0m\u001b[0m\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m\u001b[1mDuring: Pass nopython_type_inference\u001b[0m\u001b[0m\n", "\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-701bb189/lib/python3.13/site-packages/numba/core/typeinfer.py\u001b[0m:1074: TypingError\n", "\u001b[31m\u001b[1m_____________________ test_intensity_black_body_cuda[1-1] ______________________\u001b[0m\n", "\n", "nu = 1, temperature = 1\n", "\n", " \u001b[0m\u001b[37m@pytest\u001b[39;49;00m.mark.skipif(\u001b[90m\u001b[39;49;00m\n", " \u001b[95mnot\u001b[39;49;00m GPUs_available, reason=\u001b[33m\"\u001b[39;49;00m\u001b[33mNo GPU is available to test CUDA function\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n", " )\u001b[90m\u001b[39;49;00m\n", " \u001b[37m@pytest\u001b[39;49;00m.mark.parametrize(\u001b[90m\u001b[39;49;00m\n", " [\u001b[33m\"\u001b[39;49;00m\u001b[33mnu\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m, \u001b[33m\"\u001b[39;49;00m\u001b[33mtemperature\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m],\u001b[90m\u001b[39;49;00m\n", " [\u001b[90m\u001b[39;49;00m\n", " (\u001b[94m1e14\u001b[39;49;00m, \u001b[94m1e4\u001b[39;49;00m),\u001b[90m\u001b[39;49;00m\n", " (\u001b[94m0\u001b[39;49;00m, \u001b[94m1\u001b[39;49;00m),\u001b[90m\u001b[39;49;00m\n", " (\u001b[94m1\u001b[39;49;00m, \u001b[94m1\u001b[39;49;00m),\u001b[90m\u001b[39;49;00m\n", " ],\u001b[90m\u001b[39;49;00m\n", " )\u001b[90m\u001b[39;49;00m\n", " \u001b[94mdef\u001b[39;49;00m\u001b[90m \u001b[39;49;00m\u001b[92mtest_intensity_black_body_cuda\u001b[39;49;00m(nu, temperature):\u001b[90m\u001b[39;49;00m\n", " \u001b[90m \u001b[39;49;00m\u001b[33m\"\"\"\u001b[39;49;00m\n", " \u001b[33m Initializes the test of the cuda version\u001b[39;49;00m\n", " \u001b[33m against the numba implementation of the\u001b[39;49;00m\n", " \u001b[33m intensity_black_body to 15 decimals. This\u001b[39;49;00m\n", " \u001b[33m is done as both results have 15 digits of precision.\u001b[39;49;00m\n", " \u001b[33m \"\"\"\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n", " actual = np.zeros(\u001b[94m3\u001b[39;49;00m)\u001b[90m\u001b[39;49;00m\n", "> black_body_caller[\u001b[94m1\u001b[39;49;00m, \u001b[94m3\u001b[39;49;00m](nu, temperature, actual)\u001b[90m\u001b[39;49;00m\n", "\n", "\u001b[1m\u001b[31mtardis/spectrum/formal_integral/tests/test_cuda_formal_integral.py\u001b[0m:48: \n", "_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-701bb189/lib/python3.13/site-packages/numba/cuda/dispatcher.py\u001b[0m:539: in __call__\n", " \u001b[0m\u001b[94mreturn\u001b[39;49;00m \u001b[96mself\u001b[39;49;00m.dispatcher.call(args, \u001b[96mself\u001b[39;49;00m.griddim, \u001b[96mself\u001b[39;49;00m.blockdim,\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-701bb189/lib/python3.13/site-packages/numba/cuda/dispatcher.py\u001b[0m:681: in call\n", " \u001b[0mkernel = _dispatcher.Dispatcher._cuda_call(\u001b[96mself\u001b[39;49;00m, *args)\u001b[90m\u001b[39;49;00m\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-701bb189/lib/python3.13/site-packages/numba/cuda/dispatcher.py\u001b[0m:689: in _compile_for_args\n", " \u001b[0m\u001b[94mreturn\u001b[39;49;00m \u001b[96mself\u001b[39;49;00m.compile(\u001b[96mtuple\u001b[39;49;00m(argtypes))\u001b[90m\u001b[39;49;00m\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-701bb189/lib/python3.13/site-packages/numba/cuda/dispatcher.py\u001b[0m:932: in compile\n", " \u001b[0mkernel = _Kernel(\u001b[96mself\u001b[39;49;00m.py_func, argtypes, **\u001b[96mself\u001b[39;49;00m.targetoptions)\u001b[90m\u001b[39;49;00m\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-701bb189/lib/python3.13/site-packages/numba/core/compiler_lock.py\u001b[0m:35: in _acquire_compile_lock\n", " \u001b[0m\u001b[94mreturn\u001b[39;49;00m func(*args, **kwargs)\u001b[90m\u001b[39;49;00m\n", " ^^^^^^^^^^^^^^^^^^^^^\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-701bb189/lib/python3.13/site-packages/numba/cuda/dispatcher.py\u001b[0m:83: in __init__\n", " \u001b[0mcres = compile_cuda(\u001b[96mself\u001b[39;49;00m.py_func, types.void, \u001b[96mself\u001b[39;49;00m.argtypes,\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-701bb189/lib/python3.13/site-packages/numba/core/compiler_lock.py\u001b[0m:35: in _acquire_compile_lock\n", " \u001b[0m\u001b[94mreturn\u001b[39;49;00m func(*args, **kwargs)\u001b[90m\u001b[39;49;00m\n", " ^^^^^^^^^^^^^^^^^^^^^\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-701bb189/lib/python3.13/site-packages/numba/cuda/compiler.py\u001b[0m:196: in compile_cuda\n", " \u001b[0mcres = compiler.compile_extra(typingctx=typingctx,\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-701bb189/lib/python3.13/site-packages/numba/core/compiler.py\u001b[0m:739: in compile_extra\n", " \u001b[0m\u001b[94mreturn\u001b[39;49;00m pipeline.compile_extra(func)\u001b[90m\u001b[39;49;00m\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-701bb189/lib/python3.13/site-packages/numba/core/compiler.py\u001b[0m:439: in compile_extra\n", " \u001b[0m\u001b[94mreturn\u001b[39;49;00m \u001b[96mself\u001b[39;49;00m._compile_bytecode()\u001b[90m\u001b[39;49;00m\n", " ^^^^^^^^^^^^^^^^^^^^^^^^\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-701bb189/lib/python3.13/site-packages/numba/core/compiler.py\u001b[0m:505: in _compile_bytecode\n", " \u001b[0m\u001b[94mreturn\u001b[39;49;00m \u001b[96mself\u001b[39;49;00m._compile_core()\u001b[90m\u001b[39;49;00m\n", " ^^^^^^^^^^^^^^^^^^^^\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-701bb189/lib/python3.13/site-packages/numba/core/compiler.py\u001b[0m:484: in _compile_core\n", " \u001b[0m\u001b[94mraise\u001b[39;49;00m e\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-701bb189/lib/python3.13/site-packages/numba/core/compiler.py\u001b[0m:473: in _compile_core\n", " \u001b[0mpm.run(\u001b[96mself\u001b[39;49;00m.state)\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-701bb189/lib/python3.13/site-packages/numba/core/compiler_machinery.py\u001b[0m:367: in run\n", " \u001b[0m\u001b[94mraise\u001b[39;49;00m patched_exception\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-701bb189/lib/python3.13/site-packages/numba/core/compiler_machinery.py\u001b[0m:356: in run\n", " \u001b[0m\u001b[96mself\u001b[39;49;00m._runPass(idx, pass_inst, state)\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-701bb189/lib/python3.13/site-packages/numba/core/compiler_lock.py\u001b[0m:35: in _acquire_compile_lock\n", " \u001b[0m\u001b[94mreturn\u001b[39;49;00m func(*args, **kwargs)\u001b[90m\u001b[39;49;00m\n", " ^^^^^^^^^^^^^^^^^^^^^\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-701bb189/lib/python3.13/site-packages/numba/core/compiler_machinery.py\u001b[0m:311: in _runPass\n", " \u001b[0mmutated |= check(pss.run_pass, internal_state)\u001b[90m\u001b[39;49;00m\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-701bb189/lib/python3.13/site-packages/numba/core/compiler_machinery.py\u001b[0m:272: in check\n", " \u001b[0mmangled = func(compiler_state)\u001b[90m\u001b[39;49;00m\n", " ^^^^^^^^^^^^^^^^^^^^\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-701bb189/lib/python3.13/site-packages/numba/core/typed_passes.py\u001b[0m:112: in run_pass\n", " \u001b[0mtypemap, return_type, calltypes, errs = type_inference_stage(\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-701bb189/lib/python3.13/site-packages/numba/core/typed_passes.py\u001b[0m:93: in type_inference_stage\n", " \u001b[0merrs = infer.propagate(raise_errors=raise_errors)\u001b[90m\u001b[39;49;00m\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u001b[90m\u001b[39;49;00m\n", "_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n", "\n", "self = \n", "raise_errors = True\n", "\n", " \u001b[0m\u001b[94mdef\u001b[39;49;00m\u001b[90m \u001b[39;49;00m\u001b[92mpropagate\u001b[39;49;00m(\u001b[96mself\u001b[39;49;00m, raise_errors=\u001b[94mTrue\u001b[39;49;00m):\u001b[90m\u001b[39;49;00m\n", " newtoken = \u001b[96mself\u001b[39;49;00m.get_state_token()\u001b[90m\u001b[39;49;00m\n", " oldtoken = \u001b[94mNone\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n", " \u001b[90m# Since the number of types are finite, the typesets will eventually\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n", " \u001b[90m# stop growing.\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n", " \u001b[90m\u001b[39;49;00m\n", " \u001b[94mwhile\u001b[39;49;00m newtoken != oldtoken:\u001b[90m\u001b[39;49;00m\n", " \u001b[96mself\u001b[39;49;00m.debug.propagate_started()\u001b[90m\u001b[39;49;00m\n", " oldtoken = newtoken\u001b[90m\u001b[39;49;00m\n", " \u001b[90m# Errors can appear when the type set is incomplete; only\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n", " \u001b[90m# raise them when there is no progress anymore.\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n", " errors = \u001b[96mself\u001b[39;49;00m.constraints.propagate(\u001b[96mself\u001b[39;49;00m)\u001b[90m\u001b[39;49;00m\n", " newtoken = \u001b[96mself\u001b[39;49;00m.get_state_token()\u001b[90m\u001b[39;49;00m\n", " \u001b[96mself\u001b[39;49;00m.debug.propagate_finished()\u001b[90m\u001b[39;49;00m\n", " \u001b[94mif\u001b[39;49;00m errors:\u001b[90m\u001b[39;49;00m\n", " \u001b[94mif\u001b[39;49;00m raise_errors:\u001b[90m\u001b[39;49;00m\n", " force_lit_args = [e \u001b[94mfor\u001b[39;49;00m e \u001b[95min\u001b[39;49;00m errors\u001b[90m\u001b[39;49;00m\n", " \u001b[94mif\u001b[39;49;00m \u001b[96misinstance\u001b[39;49;00m(e, ForceLiteralArg)]\u001b[90m\u001b[39;49;00m\n", " \u001b[94mif\u001b[39;49;00m \u001b[95mnot\u001b[39;49;00m force_lit_args:\u001b[90m\u001b[39;49;00m\n", "> \u001b[94mraise\u001b[39;49;00m errors[\u001b[94m0\u001b[39;49;00m]\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31mE numba.core.errors.TypingError: Failed in cuda mode pipeline (step: nopython frontend)\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[1m\u001b[1m\u001b[1mFailed in cuda mode pipeline (step: nopython frontend)\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[1m\u001b[1m\u001b[1mUse of unsupported NumPy function 'numpy.exp' or unsupported use of the function.\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[1m\u001b[0m\n", "\u001b[1m\u001b[31mE File \"tardis/spectrum/formal_integral/base.py\", line 104:\u001b[0m\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[1mdef intensity_black_body(nu, temperature):\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m\n", "\u001b[1m\u001b[31mE coefficient = 2 * H_CGS * C_INV * C_INV\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[1m return coefficient * nu * nu * nu / (np.exp(H_CGS * nu * beta_rad) - 1)\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m \u001b[1m^\u001b[0m\u001b[0m\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m\u001b[1mDuring: typing of get attribute at /home/riddhigangbhoj/tardis-work/tardis/tardis/spectrum/formal_integral/base.py (104)\u001b[0m\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[1m\u001b[0m\n", "\u001b[1m\u001b[31mE File \"tardis/spectrum/formal_integral/base.py\", line 104:\u001b[0m\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[1mdef intensity_black_body(nu, temperature):\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m\n", "\u001b[1m\u001b[31mE coefficient = 2 * H_CGS * C_INV * C_INV\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[1m return coefficient * nu * nu * nu / (np.exp(H_CGS * nu * beta_rad) - 1)\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m \u001b[1m^\u001b[0m\u001b[0m\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m\u001b[1mDuring: Pass nopython_type_inference\u001b[0m\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m\u001b[1mDuring: resolving callee type: type(CUDADispatcher())\u001b[0m\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m\u001b[1mDuring: typing of call at /home/riddhigangbhoj/tardis-work/tardis/tardis/spectrum/formal_integral/tests/test_cuda_formal_integral.py (22)\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[1m\u001b[0m\n", "\u001b[1m\u001b[31mE File \"tardis/spectrum/formal_integral/tests/test_cuda_formal_integral.py\", line 22:\u001b[0m\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[1mdef black_body_caller(nu, temperature, actual):\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m\n", "\u001b[1m\u001b[31mE x = cuda.grid(1)\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[1m actual[x] = formal_integral_cuda.intensity_black_body_cuda(nu, temperature)\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m \u001b[1m^\u001b[0m\u001b[0m\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m\u001b[1mDuring: Pass nopython_type_inference\u001b[0m\u001b[0m\n", "\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-701bb189/lib/python3.13/site-packages/numba/core/typeinfer.py\u001b[0m:1074: TypingError\n", "\u001b[31m\u001b[1m_____________________ test_full_formal_integral[200000-5] ______________________\u001b[0m\n", "\n", "no_of_packets = 200000, iterations = 5\n", "config_verysimple = {'tardis_config_version': 'v1.0', 'supernova': {'luminosity_requested': , 'time_explosion': \n", "\n", " \u001b[0m\u001b[37m@pytest\u001b[39;49;00m.mark.skipif(\u001b[90m\u001b[39;49;00m\n", " \u001b[95mnot\u001b[39;49;00m GPUs_available, reason=\u001b[33m\"\u001b[39;49;00m\u001b[33mNo GPU is available to test CUDA function\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n", " )\u001b[90m\u001b[39;49;00m\n", " \u001b[37m@pytest\u001b[39;49;00m.mark.parametrize([\u001b[33m\"\u001b[39;49;00m\u001b[33mno_of_packets\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m, \u001b[33m\"\u001b[39;49;00m\u001b[33miterations\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m], [(\u001b[94m200000\u001b[39;49;00m, \u001b[94m5\u001b[39;49;00m)])\u001b[90m\u001b[39;49;00m\n", " \u001b[94mdef\u001b[39;49;00m\u001b[90m \u001b[39;49;00m\u001b[92mtest_full_formal_integral\u001b[39;49;00m(\u001b[90m\u001b[39;49;00m\n", " no_of_packets, iterations, config_verysimple, simulation_verysimple\u001b[90m\u001b[39;49;00m\n", " ):\u001b[90m\u001b[39;49;00m\n", " \u001b[90m \u001b[39;49;00m\u001b[33m\"\"\"\u001b[39;49;00m\n", " \u001b[33m This function initializes both the cuda and numba formal_integrator,\u001b[39;49;00m\n", " \u001b[33m and the runs them and compares results to the 15th decimal place.\u001b[39;49;00m\n", " \u001b[33m This is done as both results have 15 digits of precision.\u001b[39;49;00m\n", " \u001b[33m \"\"\"\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n", " sim = simulation_verysimple\u001b[90m\u001b[39;49;00m\n", " \u001b[90m\u001b[39;49;00m\n", " formal_integrator_numba = FormalIntegrator(\u001b[90m\u001b[39;49;00m\n", " sim.simulation_state, sim.plasma, sim.transport\u001b[90m\u001b[39;49;00m\n", " )\u001b[90m\u001b[39;49;00m\n", " \u001b[90m\u001b[39;49;00m\n", " formal_integrator_cuda = FormalIntegrator(\u001b[90m\u001b[39;49;00m\n", " sim.simulation_state, sim.plasma, sim.transport\u001b[90m\u001b[39;49;00m\n", " )\u001b[90m\u001b[39;49;00m\n", " \u001b[90m\u001b[39;49;00m\n", " \u001b[90m# The function calculate_spectrum sets this property, but in order to test the CUDA.\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n", " \u001b[90m# version it is done manually, as well as to speed up the test.\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n", " formal_integrator_numba.interpolate_shells = \u001b[96mmax\u001b[39;49;00m(\u001b[90m\u001b[39;49;00m\n", " \u001b[94m2\u001b[39;49;00m * formal_integrator_numba.simulation_state.no_of_shells, \u001b[94m80\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n", " )\u001b[90m\u001b[39;49;00m\n", " \u001b[90m\u001b[39;49;00m\n", " formal_integrator_cuda.interpolate_shells = \u001b[96mmax\u001b[39;49;00m(\u001b[90m\u001b[39;49;00m\n", " \u001b[94m2\u001b[39;49;00m * formal_integrator_cuda.simulation_state.no_of_shells, \u001b[94m80\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n", " )\u001b[90m\u001b[39;49;00m\n", " \u001b[90m\u001b[39;49;00m\n", "> res_numba = make_source_function(\u001b[90m\u001b[39;49;00m\n", " formal_integrator_numba.simulation_state,\u001b[90m\u001b[39;49;00m\n", " formal_integrator_numba.plasma,\u001b[90m\u001b[39;49;00m\n", " formal_integrator_numba.transport,\u001b[90m\u001b[39;49;00m\n", " formal_integrator_numba.interpolate_shells\u001b[90m\u001b[39;49;00m\n", " )\u001b[90m\u001b[39;49;00m\n", "\n", "\u001b[1m\u001b[31mtardis/spectrum/formal_integral/tests/test_cuda_formal_integral.py\u001b[0m:329: \n", "_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n", "\n", "simulation_state = \n", "opacity_state = \n", "transport = \n", "plasma = 80, interpolate_shells = 0\n", "\n", " \u001b[0m\u001b[94mdef\u001b[39;49;00m\u001b[90m \u001b[39;49;00m\u001b[92mmake_source_function\u001b[39;49;00m(simulation_state, opacity_state, transport, plasma, interpolate_shells=\u001b[94m0\u001b[39;49;00m):\u001b[90m\u001b[39;49;00m\n", " \u001b[90m \u001b[39;49;00m\u001b[33m\"\"\"\u001b[39;49;00m\n", " \u001b[33m Calculates the source function using the line absorption rate estimator `Edotlu_estimator`\u001b[39;49;00m\n", " \u001b[33m\u001b[39;49;00m\n", " \u001b[33m Formally it calculates the expression ( 1 - exp(-tau_ul) ) S_ul but this product is what we need later,\u001b[39;49;00m\n", " \u001b[33m so there is no need to factor out the source function explicitly.\u001b[39;49;00m\n", " \u001b[33m Parameters\u001b[39;49;00m\n", " \u001b[33m ----------\u001b[39;49;00m\n", " \u001b[33m simulation_state : tardis.model.SimulationState\u001b[39;49;00m\n", " \u001b[33m opacity_state : tardis.opacity.OpacityStateNumba\u001b[39;49;00m\n", " \u001b[33m transport : tardis.transport.montecarlo.MonteCarloTransportSolver\u001b[39;49;00m\n", " \u001b[33m plasma : tardis.plasma.BasePlasma\u001b[39;49;00m\n", " \u001b[33m interpolate_shells : int\u001b[39;49;00m\n", " \u001b[33m Number of shells to interpolate to. If set to 0, no interpolation is performed.\u001b[39;49;00m\n", " \u001b[33m\u001b[39;49;00m\n", " \u001b[33m Returns\u001b[39;49;00m\n", " \u001b[33m -------\u001b[39;49;00m\n", " \u001b[33m Numpy array containing ( 1 - exp(-tau_ul) ) S_ul ordered by wavelength of the transition u -> l\u001b[39;49;00m\n", " \u001b[33m \"\"\"\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n", " \u001b[90m\u001b[39;49;00m\n", " montecarlo_transport_state = transport.transport_state\u001b[90m\u001b[39;49;00m\n", "> atomic_data = plasma.atomic_data\u001b[90m\u001b[39;49;00m\n", " ^^^^^^^^^^^^^^^^^^\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31mE AttributeError: 'int' object has no attribute 'atomic_data'\u001b[0m\n", "\n", "\u001b[1m\u001b[31mtardis/spectrum/formal_integral/base.py\u001b[0m:128: AttributeError\n", "\u001b[36m\u001b[1m=========================== short test summary info ============================\u001b[0m\n", "\u001b[31mFAILED\u001b[0m tardis/spectrum/formal_integral/tests/test_cuda_formal_integral.py::\u001b[1mtest_intensity_black_body_cuda[100000000000000.0-10000.0]\u001b[0m - numba.core.errors.TypingError: Failed in cuda mode pipeline (step: nopython...\n", "\u001b[31mFAILED\u001b[0m tardis/spectrum/formal_integral/tests/test_cuda_formal_integral.py::\u001b[1mtest_intensity_black_body_cuda[0-1]\u001b[0m - numba.core.errors.TypingError: Failed in cuda mode pipeline (step: nopython...\n", "\u001b[31mFAILED\u001b[0m tardis/spectrum/formal_integral/tests/test_cuda_formal_integral.py::\u001b[1mtest_intensity_black_body_cuda[1-1]\u001b[0m - numba.core.errors.TypingError: Failed in cuda mode pipeline (step: nopython...\n", "\u001b[31mFAILED\u001b[0m tardis/spectrum/formal_integral/tests/test_cuda_formal_integral.py::\u001b[1mtest_full_formal_integral[200000-5]\u001b[0m - AttributeError: 'int' object has no attribute 'atomic_data'\n", "\u001b[31m= \u001b[31m\u001b[1m4 failed\u001b[0m, \u001b[32m648 passed\u001b[0m, \u001b[33m125 skipped\u001b[0m, \u001b[33m2 deselected\u001b[0m, \u001b[33m22 xfailed\u001b[0m, \u001b[33m8 xpassed\u001b[0m, \u001b[33m344 warnings\u001b[0m, \u001b[33m1041 regression data written\u001b[0m\u001b[31m in 794.77s (0:13:14)\u001b[0m\u001b[31m =\u001b[0m\n", "\n", "\n", "ERROR:tardisbase.testing.regression_comparison.run_tests:Stderr: \n", "Packets: ████████████████████████████████████████████████████████████████████\n", "\n", "Iterations: \n", "\n", "ERROR conda.cli.main_run:execute(127): `conda run python -m pytest tardis --tardis-regression-data=/home/riddhigangbhoj/tardis-work/tardis-regression-data --generate-reference --disable-warnings -m not continuum` failed. (See above for error)\n", "\n", "INFO:tardisbase.testing.regression_comparison.run_tests:\n", "=== Phase 2: Running 'continuum' tests for commit 701bb18916886ecf2797b0dda4843750f69592da ===\n", "INFO:tardisbase.testing.regression_comparison.run_tests:Running continuum tests: conda run -n tardis-test-701bb189 python -m pytest tardis --tardis-regression-data=/home/riddhigangbhoj/tardis-work/tardis-regression-data --generate-reference --disable-warnings -m continuum\n", "WARNING:tardisbase.testing.regression_comparison.run_tests:Tests completed with some failures for commit 701bb18916886ecf2797b0dda4843750f69592da, but regression data was generated\n", "INFO:tardisbase.testing.regression_comparison.run_tests:Processing commit 2/3: ce43cec0fa5d9255108c90c84659c71d34fb1c26\n", "INFO:tardisbase.testing.regression_comparison.run_tests:Creating conda environment: tardis-test-ce43cec0\n", "INFO:tardisbase.testing.regression_comparison.run_tests:Checking if environment tardis-test-ce43cec0 exists...\n", "INFO:tardisbase.testing.regression_comparison.run_tests:Environment tardis-test-ce43cec0 exists, removing it for recreation...\n", "INFO:tardisbase.testing.regression_comparison.run_tests:Creating conda environment: conda create --name tardis-test-ce43cec0 --file /tmp/tmphpi2ltb8.lock -y\n", "INFO:tardisbase.testing.regression_comparison.run_tests:Installing TARDIS with all extras ['viz', 'tardisbase']: conda run -n tardis-test-ce43cec0 pip install -e /home/riddhigangbhoj/tardis-work/tardis[viz,tardisbase]\n", "INFO:tardisbase.testing.regression_comparison.run_tests:\n", "=== Phase 1: Running 'not continuum' tests for commit ce43cec0fa5d9255108c90c84659c71d34fb1c26 ===\n", "INFO:tardisbase.testing.regression_comparison.run_tests:Running not continuum tests: conda run -n tardis-test-ce43cec0 python -m pytest tardis --tardis-regression-data=/home/riddhigangbhoj/tardis-work/tardis-regression-data --generate-reference --disable-warnings -m not continuum\n", "WARNING:tardisbase.testing.regression_comparison.run_tests:'not continuum' tests had failures for commit ce43cec0fa5d9255108c90c84659c71d34fb1c26\n", "INFO:tardisbase.testing.regression_comparison.run_tests:Stdout: \u001b[1m============================= test session starts ==============================\u001b[0m\n", "platform linux -- Python 3.13.3, pytest-8.4.0, pluggy-1.6.0\n", "rootdir: /home/riddhigangbhoj/tardis-work/tardis\n", "configfile: pyproject.toml\n", "plugins: cov-6.1.1, html-4.1.1, metadata-3.1.1, anyio-4.9.0, doctestplus-1.4.0\n", "collected 1850 items / 2 deselected / 1848 selected\n", "\n", "tardis/energy_input/tests/test_energy_source.py \u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[33mx\u001b[0m\u001b[33mx\u001b[0m\u001b[33mx\u001b[0m\u001b[33m [ 0%]\u001b[0m\n", "tardis/energy_input/tests/test_gamma_ray_channel.py 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\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[31m [ 99%]\n", "\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[31m [100%]\u001b[0m\n", "\n", "=================================== FAILURES ===================================\n", "\u001b[31m\u001b[1m__________ test_intensity_black_body_cuda[100000000000000.0-10000.0] ___________\u001b[0m\n", "\n", "nu = 100000000000000.0, temperature = 10000.0\n", "\n", " \u001b[0m\u001b[37m@pytest\u001b[39;49;00m.mark.skipif(\u001b[90m\u001b[39;49;00m\n", " \u001b[95mnot\u001b[39;49;00m GPUs_available, reason=\u001b[33m\"\u001b[39;49;00m\u001b[33mNo GPU is available to test CUDA function\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n", " )\u001b[90m\u001b[39;49;00m\n", " \u001b[37m@pytest\u001b[39;49;00m.mark.parametrize(\u001b[90m\u001b[39;49;00m\n", " [\u001b[33m\"\u001b[39;49;00m\u001b[33mnu\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m, \u001b[33m\"\u001b[39;49;00m\u001b[33mtemperature\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m],\u001b[90m\u001b[39;49;00m\n", " [\u001b[90m\u001b[39;49;00m\n", " (\u001b[94m1e14\u001b[39;49;00m, \u001b[94m1e4\u001b[39;49;00m),\u001b[90m\u001b[39;49;00m\n", " (\u001b[94m0\u001b[39;49;00m, \u001b[94m1\u001b[39;49;00m),\u001b[90m\u001b[39;49;00m\n", " (\u001b[94m1\u001b[39;49;00m, \u001b[94m1\u001b[39;49;00m),\u001b[90m\u001b[39;49;00m\n", " ],\u001b[90m\u001b[39;49;00m\n", " )\u001b[90m\u001b[39;49;00m\n", " \u001b[94mdef\u001b[39;49;00m\u001b[90m \u001b[39;49;00m\u001b[92mtest_intensity_black_body_cuda\u001b[39;49;00m(nu, temperature):\u001b[90m\u001b[39;49;00m\n", " \u001b[90m \u001b[39;49;00m\u001b[33m\"\"\"\u001b[39;49;00m\n", " \u001b[33m Initializes the test of the cuda version\u001b[39;49;00m\n", " \u001b[33m against the numba implementation of the\u001b[39;49;00m\n", " \u001b[33m intensity_black_body to 15 decimals. This\u001b[39;49;00m\n", " \u001b[33m is done as both results have 15 digits of precision.\u001b[39;49;00m\n", " \u001b[33m \"\"\"\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n", " actual = np.zeros(\u001b[94m3\u001b[39;49;00m)\u001b[90m\u001b[39;49;00m\n", "> black_body_caller[\u001b[94m1\u001b[39;49;00m, \u001b[94m3\u001b[39;49;00m](nu, temperature, actual)\u001b[90m\u001b[39;49;00m\n", "\n", "\u001b[1m\u001b[31mtardis/spectrum/formal_integral/tests/test_cuda_formal_integral.py\u001b[0m:48: \n", "_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-ce43cec0/lib/python3.13/site-packages/numba/cuda/dispatcher.py\u001b[0m:539: in __call__\n", " \u001b[0m\u001b[94mreturn\u001b[39;49;00m \u001b[96mself\u001b[39;49;00m.dispatcher.call(args, \u001b[96mself\u001b[39;49;00m.griddim, \u001b[96mself\u001b[39;49;00m.blockdim,\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-ce43cec0/lib/python3.13/site-packages/numba/cuda/dispatcher.py\u001b[0m:681: in call\n", " \u001b[0mkernel = _dispatcher.Dispatcher._cuda_call(\u001b[96mself\u001b[39;49;00m, *args)\u001b[90m\u001b[39;49;00m\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-ce43cec0/lib/python3.13/site-packages/numba/cuda/dispatcher.py\u001b[0m:689: in _compile_for_args\n", " \u001b[0m\u001b[94mreturn\u001b[39;49;00m \u001b[96mself\u001b[39;49;00m.compile(\u001b[96mtuple\u001b[39;49;00m(argtypes))\u001b[90m\u001b[39;49;00m\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-ce43cec0/lib/python3.13/site-packages/numba/cuda/dispatcher.py\u001b[0m:932: in compile\n", " \u001b[0mkernel = _Kernel(\u001b[96mself\u001b[39;49;00m.py_func, argtypes, **\u001b[96mself\u001b[39;49;00m.targetoptions)\u001b[90m\u001b[39;49;00m\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-ce43cec0/lib/python3.13/site-packages/numba/core/compiler_lock.py\u001b[0m:35: in _acquire_compile_lock\n", " \u001b[0m\u001b[94mreturn\u001b[39;49;00m func(*args, **kwargs)\u001b[90m\u001b[39;49;00m\n", " ^^^^^^^^^^^^^^^^^^^^^\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-ce43cec0/lib/python3.13/site-packages/numba/cuda/dispatcher.py\u001b[0m:83: in __init__\n", " \u001b[0mcres = compile_cuda(\u001b[96mself\u001b[39;49;00m.py_func, types.void, \u001b[96mself\u001b[39;49;00m.argtypes,\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-ce43cec0/lib/python3.13/site-packages/numba/core/compiler_lock.py\u001b[0m:35: in _acquire_compile_lock\n", " \u001b[0m\u001b[94mreturn\u001b[39;49;00m func(*args, **kwargs)\u001b[90m\u001b[39;49;00m\n", " ^^^^^^^^^^^^^^^^^^^^^\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-ce43cec0/lib/python3.13/site-packages/numba/cuda/compiler.py\u001b[0m:196: in compile_cuda\n", " \u001b[0mcres = compiler.compile_extra(typingctx=typingctx,\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-ce43cec0/lib/python3.13/site-packages/numba/core/compiler.py\u001b[0m:739: in compile_extra\n", " \u001b[0m\u001b[94mreturn\u001b[39;49;00m pipeline.compile_extra(func)\u001b[90m\u001b[39;49;00m\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-ce43cec0/lib/python3.13/site-packages/numba/core/compiler.py\u001b[0m:439: in compile_extra\n", " \u001b[0m\u001b[94mreturn\u001b[39;49;00m \u001b[96mself\u001b[39;49;00m._compile_bytecode()\u001b[90m\u001b[39;49;00m\n", " ^^^^^^^^^^^^^^^^^^^^^^^^\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-ce43cec0/lib/python3.13/site-packages/numba/core/compiler.py\u001b[0m:505: in _compile_bytecode\n", " \u001b[0m\u001b[94mreturn\u001b[39;49;00m \u001b[96mself\u001b[39;49;00m._compile_core()\u001b[90m\u001b[39;49;00m\n", " ^^^^^^^^^^^^^^^^^^^^\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-ce43cec0/lib/python3.13/site-packages/numba/core/compiler.py\u001b[0m:484: in _compile_core\n", " \u001b[0m\u001b[94mraise\u001b[39;49;00m e\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-ce43cec0/lib/python3.13/site-packages/numba/core/compiler.py\u001b[0m:473: in _compile_core\n", " \u001b[0mpm.run(\u001b[96mself\u001b[39;49;00m.state)\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-ce43cec0/lib/python3.13/site-packages/numba/core/compiler_machinery.py\u001b[0m:367: in run\n", " \u001b[0m\u001b[94mraise\u001b[39;49;00m patched_exception\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-ce43cec0/lib/python3.13/site-packages/numba/core/compiler_machinery.py\u001b[0m:356: in run\n", " \u001b[0m\u001b[96mself\u001b[39;49;00m._runPass(idx, pass_inst, state)\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-ce43cec0/lib/python3.13/site-packages/numba/core/compiler_lock.py\u001b[0m:35: in _acquire_compile_lock\n", " \u001b[0m\u001b[94mreturn\u001b[39;49;00m func(*args, **kwargs)\u001b[90m\u001b[39;49;00m\n", " ^^^^^^^^^^^^^^^^^^^^^\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-ce43cec0/lib/python3.13/site-packages/numba/core/compiler_machinery.py\u001b[0m:311: in _runPass\n", " \u001b[0mmutated |= check(pss.run_pass, internal_state)\u001b[90m\u001b[39;49;00m\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-ce43cec0/lib/python3.13/site-packages/numba/core/compiler_machinery.py\u001b[0m:272: in check\n", " \u001b[0mmangled = func(compiler_state)\u001b[90m\u001b[39;49;00m\n", " ^^^^^^^^^^^^^^^^^^^^\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-ce43cec0/lib/python3.13/site-packages/numba/core/typed_passes.py\u001b[0m:112: in run_pass\n", " \u001b[0mtypemap, return_type, calltypes, errs = type_inference_stage(\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-ce43cec0/lib/python3.13/site-packages/numba/core/typed_passes.py\u001b[0m:93: in type_inference_stage\n", " \u001b[0merrs = infer.propagate(raise_errors=raise_errors)\u001b[90m\u001b[39;49;00m\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u001b[90m\u001b[39;49;00m\n", "_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n", "\n", "self = \n", "raise_errors = True\n", "\n", " \u001b[0m\u001b[94mdef\u001b[39;49;00m\u001b[90m \u001b[39;49;00m\u001b[92mpropagate\u001b[39;49;00m(\u001b[96mself\u001b[39;49;00m, raise_errors=\u001b[94mTrue\u001b[39;49;00m):\u001b[90m\u001b[39;49;00m\n", " newtoken = \u001b[96mself\u001b[39;49;00m.get_state_token()\u001b[90m\u001b[39;49;00m\n", " oldtoken = \u001b[94mNone\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n", " \u001b[90m# Since the number of types are finite, the typesets will eventually\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n", " \u001b[90m# stop growing.\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n", " \u001b[90m\u001b[39;49;00m\n", " \u001b[94mwhile\u001b[39;49;00m newtoken != oldtoken:\u001b[90m\u001b[39;49;00m\n", " \u001b[96mself\u001b[39;49;00m.debug.propagate_started()\u001b[90m\u001b[39;49;00m\n", " oldtoken = newtoken\u001b[90m\u001b[39;49;00m\n", " \u001b[90m# Errors can appear when the type set is incomplete; only\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n", " \u001b[90m# raise them when there is no progress anymore.\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n", " errors = \u001b[96mself\u001b[39;49;00m.constraints.propagate(\u001b[96mself\u001b[39;49;00m)\u001b[90m\u001b[39;49;00m\n", " newtoken = \u001b[96mself\u001b[39;49;00m.get_state_token()\u001b[90m\u001b[39;49;00m\n", " \u001b[96mself\u001b[39;49;00m.debug.propagate_finished()\u001b[90m\u001b[39;49;00m\n", " \u001b[94mif\u001b[39;49;00m errors:\u001b[90m\u001b[39;49;00m\n", " \u001b[94mif\u001b[39;49;00m raise_errors:\u001b[90m\u001b[39;49;00m\n", " force_lit_args = [e \u001b[94mfor\u001b[39;49;00m e \u001b[95min\u001b[39;49;00m errors\u001b[90m\u001b[39;49;00m\n", " \u001b[94mif\u001b[39;49;00m \u001b[96misinstance\u001b[39;49;00m(e, ForceLiteralArg)]\u001b[90m\u001b[39;49;00m\n", " \u001b[94mif\u001b[39;49;00m \u001b[95mnot\u001b[39;49;00m force_lit_args:\u001b[90m\u001b[39;49;00m\n", "> \u001b[94mraise\u001b[39;49;00m errors[\u001b[94m0\u001b[39;49;00m]\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31mE numba.core.errors.TypingError: Failed in cuda mode pipeline (step: nopython frontend)\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[1m\u001b[1m\u001b[1mFailed in cuda mode pipeline (step: nopython frontend)\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[1m\u001b[1m\u001b[1mUse of unsupported NumPy function 'numpy.exp' or unsupported use of the function.\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[1m\u001b[0m\n", "\u001b[1m\u001b[31mE File \"tardis/spectrum/formal_integral/base.py\", line 104:\u001b[0m\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[1mdef intensity_black_body(nu, temperature):\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m\n", "\u001b[1m\u001b[31mE coefficient = 2 * H_CGS * C_INV * C_INV\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[1m return coefficient * nu * nu * nu / (np.exp(H_CGS * nu * beta_rad) - 1)\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m \u001b[1m^\u001b[0m\u001b[0m\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m\u001b[1mDuring: typing of get attribute at /home/riddhigangbhoj/tardis-work/tardis/tardis/spectrum/formal_integral/base.py (104)\u001b[0m\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[1m\u001b[0m\n", "\u001b[1m\u001b[31mE File \"tardis/spectrum/formal_integral/base.py\", line 104:\u001b[0m\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[1mdef intensity_black_body(nu, temperature):\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m\n", "\u001b[1m\u001b[31mE coefficient = 2 * H_CGS * C_INV * C_INV\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[1m return coefficient * nu * nu * nu / (np.exp(H_CGS * nu * beta_rad) - 1)\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m \u001b[1m^\u001b[0m\u001b[0m\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m\u001b[1mDuring: Pass nopython_type_inference\u001b[0m\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m\u001b[1mDuring: resolving callee type: type(CUDADispatcher())\u001b[0m\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m\u001b[1mDuring: typing of call at /home/riddhigangbhoj/tardis-work/tardis/tardis/spectrum/formal_integral/tests/test_cuda_formal_integral.py (22)\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[1m\u001b[0m\n", "\u001b[1m\u001b[31mE File \"tardis/spectrum/formal_integral/tests/test_cuda_formal_integral.py\", line 22:\u001b[0m\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[1mdef black_body_caller(nu, temperature, actual):\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m\n", "\u001b[1m\u001b[31mE x = cuda.grid(1)\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[1m actual[x] = formal_integral_cuda.intensity_black_body_cuda(nu, temperature)\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m \u001b[1m^\u001b[0m\u001b[0m\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m\u001b[1mDuring: Pass nopython_type_inference\u001b[0m\u001b[0m\n", "\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-ce43cec0/lib/python3.13/site-packages/numba/core/typeinfer.py\u001b[0m:1074: TypingError\n", "\u001b[31m\u001b[1m_____________________ test_intensity_black_body_cuda[0-1] ______________________\u001b[0m\n", "\n", "nu = 0, temperature = 1\n", "\n", " \u001b[0m\u001b[37m@pytest\u001b[39;49;00m.mark.skipif(\u001b[90m\u001b[39;49;00m\n", " \u001b[95mnot\u001b[39;49;00m GPUs_available, reason=\u001b[33m\"\u001b[39;49;00m\u001b[33mNo GPU is available to test CUDA function\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n", " )\u001b[90m\u001b[39;49;00m\n", " \u001b[37m@pytest\u001b[39;49;00m.mark.parametrize(\u001b[90m\u001b[39;49;00m\n", " [\u001b[33m\"\u001b[39;49;00m\u001b[33mnu\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m, \u001b[33m\"\u001b[39;49;00m\u001b[33mtemperature\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m],\u001b[90m\u001b[39;49;00m\n", " [\u001b[90m\u001b[39;49;00m\n", " (\u001b[94m1e14\u001b[39;49;00m, \u001b[94m1e4\u001b[39;49;00m),\u001b[90m\u001b[39;49;00m\n", " (\u001b[94m0\u001b[39;49;00m, \u001b[94m1\u001b[39;49;00m),\u001b[90m\u001b[39;49;00m\n", " (\u001b[94m1\u001b[39;49;00m, \u001b[94m1\u001b[39;49;00m),\u001b[90m\u001b[39;49;00m\n", " ],\u001b[90m\u001b[39;49;00m\n", " )\u001b[90m\u001b[39;49;00m\n", " \u001b[94mdef\u001b[39;49;00m\u001b[90m \u001b[39;49;00m\u001b[92mtest_intensity_black_body_cuda\u001b[39;49;00m(nu, temperature):\u001b[90m\u001b[39;49;00m\n", " \u001b[90m \u001b[39;49;00m\u001b[33m\"\"\"\u001b[39;49;00m\n", " \u001b[33m Initializes the test of the cuda version\u001b[39;49;00m\n", " \u001b[33m against the numba implementation of the\u001b[39;49;00m\n", " \u001b[33m intensity_black_body to 15 decimals. This\u001b[39;49;00m\n", " \u001b[33m is done as both results have 15 digits of precision.\u001b[39;49;00m\n", " \u001b[33m \"\"\"\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n", " actual = np.zeros(\u001b[94m3\u001b[39;49;00m)\u001b[90m\u001b[39;49;00m\n", "> black_body_caller[\u001b[94m1\u001b[39;49;00m, \u001b[94m3\u001b[39;49;00m](nu, temperature, actual)\u001b[90m\u001b[39;49;00m\n", "\n", "\u001b[1m\u001b[31mtardis/spectrum/formal_integral/tests/test_cuda_formal_integral.py\u001b[0m:48: \n", "_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-ce43cec0/lib/python3.13/site-packages/numba/cuda/dispatcher.py\u001b[0m:539: in __call__\n", " \u001b[0m\u001b[94mreturn\u001b[39;49;00m \u001b[96mself\u001b[39;49;00m.dispatcher.call(args, \u001b[96mself\u001b[39;49;00m.griddim, \u001b[96mself\u001b[39;49;00m.blockdim,\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-ce43cec0/lib/python3.13/site-packages/numba/cuda/dispatcher.py\u001b[0m:681: in call\n", " \u001b[0mkernel = _dispatcher.Dispatcher._cuda_call(\u001b[96mself\u001b[39;49;00m, *args)\u001b[90m\u001b[39;49;00m\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-ce43cec0/lib/python3.13/site-packages/numba/cuda/dispatcher.py\u001b[0m:689: in _compile_for_args\n", " \u001b[0m\u001b[94mreturn\u001b[39;49;00m \u001b[96mself\u001b[39;49;00m.compile(\u001b[96mtuple\u001b[39;49;00m(argtypes))\u001b[90m\u001b[39;49;00m\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-ce43cec0/lib/python3.13/site-packages/numba/cuda/dispatcher.py\u001b[0m:932: in compile\n", " \u001b[0mkernel = _Kernel(\u001b[96mself\u001b[39;49;00m.py_func, argtypes, **\u001b[96mself\u001b[39;49;00m.targetoptions)\u001b[90m\u001b[39;49;00m\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-ce43cec0/lib/python3.13/site-packages/numba/core/compiler_lock.py\u001b[0m:35: in _acquire_compile_lock\n", " \u001b[0m\u001b[94mreturn\u001b[39;49;00m func(*args, **kwargs)\u001b[90m\u001b[39;49;00m\n", " ^^^^^^^^^^^^^^^^^^^^^\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-ce43cec0/lib/python3.13/site-packages/numba/cuda/dispatcher.py\u001b[0m:83: in __init__\n", " \u001b[0mcres = compile_cuda(\u001b[96mself\u001b[39;49;00m.py_func, types.void, \u001b[96mself\u001b[39;49;00m.argtypes,\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-ce43cec0/lib/python3.13/site-packages/numba/core/compiler_lock.py\u001b[0m:35: in _acquire_compile_lock\n", " \u001b[0m\u001b[94mreturn\u001b[39;49;00m func(*args, **kwargs)\u001b[90m\u001b[39;49;00m\n", " ^^^^^^^^^^^^^^^^^^^^^\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-ce43cec0/lib/python3.13/site-packages/numba/cuda/compiler.py\u001b[0m:196: in compile_cuda\n", " \u001b[0mcres = compiler.compile_extra(typingctx=typingctx,\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-ce43cec0/lib/python3.13/site-packages/numba/core/compiler.py\u001b[0m:739: in compile_extra\n", " \u001b[0m\u001b[94mreturn\u001b[39;49;00m pipeline.compile_extra(func)\u001b[90m\u001b[39;49;00m\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-ce43cec0/lib/python3.13/site-packages/numba/core/compiler.py\u001b[0m:439: in compile_extra\n", " \u001b[0m\u001b[94mreturn\u001b[39;49;00m \u001b[96mself\u001b[39;49;00m._compile_bytecode()\u001b[90m\u001b[39;49;00m\n", " ^^^^^^^^^^^^^^^^^^^^^^^^\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-ce43cec0/lib/python3.13/site-packages/numba/core/compiler.py\u001b[0m:505: in _compile_bytecode\n", " \u001b[0m\u001b[94mreturn\u001b[39;49;00m \u001b[96mself\u001b[39;49;00m._compile_core()\u001b[90m\u001b[39;49;00m\n", " ^^^^^^^^^^^^^^^^^^^^\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-ce43cec0/lib/python3.13/site-packages/numba/core/compiler.py\u001b[0m:484: in _compile_core\n", " \u001b[0m\u001b[94mraise\u001b[39;49;00m e\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-ce43cec0/lib/python3.13/site-packages/numba/core/compiler.py\u001b[0m:473: in _compile_core\n", " \u001b[0mpm.run(\u001b[96mself\u001b[39;49;00m.state)\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-ce43cec0/lib/python3.13/site-packages/numba/core/compiler_machinery.py\u001b[0m:367: in run\n", " \u001b[0m\u001b[94mraise\u001b[39;49;00m patched_exception\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-ce43cec0/lib/python3.13/site-packages/numba/core/compiler_machinery.py\u001b[0m:356: in run\n", " \u001b[0m\u001b[96mself\u001b[39;49;00m._runPass(idx, pass_inst, state)\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-ce43cec0/lib/python3.13/site-packages/numba/core/compiler_lock.py\u001b[0m:35: in _acquire_compile_lock\n", " \u001b[0m\u001b[94mreturn\u001b[39;49;00m func(*args, **kwargs)\u001b[90m\u001b[39;49;00m\n", " ^^^^^^^^^^^^^^^^^^^^^\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-ce43cec0/lib/python3.13/site-packages/numba/core/compiler_machinery.py\u001b[0m:311: in _runPass\n", " \u001b[0mmutated |= check(pss.run_pass, internal_state)\u001b[90m\u001b[39;49;00m\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-ce43cec0/lib/python3.13/site-packages/numba/core/compiler_machinery.py\u001b[0m:272: in check\n", " \u001b[0mmangled = func(compiler_state)\u001b[90m\u001b[39;49;00m\n", " ^^^^^^^^^^^^^^^^^^^^\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-ce43cec0/lib/python3.13/site-packages/numba/core/typed_passes.py\u001b[0m:112: in run_pass\n", " \u001b[0mtypemap, return_type, calltypes, errs = type_inference_stage(\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-ce43cec0/lib/python3.13/site-packages/numba/core/typed_passes.py\u001b[0m:93: in type_inference_stage\n", " \u001b[0merrs = infer.propagate(raise_errors=raise_errors)\u001b[90m\u001b[39;49;00m\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u001b[90m\u001b[39;49;00m\n", "_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n", "\n", "self = \n", "raise_errors = True\n", "\n", " \u001b[0m\u001b[94mdef\u001b[39;49;00m\u001b[90m \u001b[39;49;00m\u001b[92mpropagate\u001b[39;49;00m(\u001b[96mself\u001b[39;49;00m, raise_errors=\u001b[94mTrue\u001b[39;49;00m):\u001b[90m\u001b[39;49;00m\n", " newtoken = \u001b[96mself\u001b[39;49;00m.get_state_token()\u001b[90m\u001b[39;49;00m\n", " oldtoken = \u001b[94mNone\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n", " \u001b[90m# Since the number of types are finite, the typesets will eventually\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n", " \u001b[90m# stop growing.\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n", " \u001b[90m\u001b[39;49;00m\n", " \u001b[94mwhile\u001b[39;49;00m newtoken != oldtoken:\u001b[90m\u001b[39;49;00m\n", " \u001b[96mself\u001b[39;49;00m.debug.propagate_started()\u001b[90m\u001b[39;49;00m\n", " oldtoken = newtoken\u001b[90m\u001b[39;49;00m\n", " \u001b[90m# Errors can appear when the type set is incomplete; only\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n", " \u001b[90m# raise them when there is no progress anymore.\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n", " errors = \u001b[96mself\u001b[39;49;00m.constraints.propagate(\u001b[96mself\u001b[39;49;00m)\u001b[90m\u001b[39;49;00m\n", " newtoken = \u001b[96mself\u001b[39;49;00m.get_state_token()\u001b[90m\u001b[39;49;00m\n", " \u001b[96mself\u001b[39;49;00m.debug.propagate_finished()\u001b[90m\u001b[39;49;00m\n", " \u001b[94mif\u001b[39;49;00m errors:\u001b[90m\u001b[39;49;00m\n", " \u001b[94mif\u001b[39;49;00m raise_errors:\u001b[90m\u001b[39;49;00m\n", " force_lit_args = [e \u001b[94mfor\u001b[39;49;00m e \u001b[95min\u001b[39;49;00m errors\u001b[90m\u001b[39;49;00m\n", " \u001b[94mif\u001b[39;49;00m \u001b[96misinstance\u001b[39;49;00m(e, ForceLiteralArg)]\u001b[90m\u001b[39;49;00m\n", " \u001b[94mif\u001b[39;49;00m \u001b[95mnot\u001b[39;49;00m force_lit_args:\u001b[90m\u001b[39;49;00m\n", "> \u001b[94mraise\u001b[39;49;00m errors[\u001b[94m0\u001b[39;49;00m]\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31mE numba.core.errors.TypingError: Failed in cuda mode pipeline (step: nopython frontend)\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[1m\u001b[1m\u001b[1mFailed in cuda mode pipeline (step: nopython frontend)\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[1m\u001b[1m\u001b[1mUse of unsupported NumPy function 'numpy.exp' or unsupported use of the function.\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[1m\u001b[0m\n", "\u001b[1m\u001b[31mE File \"tardis/spectrum/formal_integral/base.py\", line 104:\u001b[0m\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[1mdef intensity_black_body(nu, temperature):\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m\n", "\u001b[1m\u001b[31mE coefficient = 2 * H_CGS * C_INV * C_INV\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[1m return coefficient * nu * nu * nu / (np.exp(H_CGS * nu * beta_rad) - 1)\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m \u001b[1m^\u001b[0m\u001b[0m\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m\u001b[1mDuring: typing of get attribute at /home/riddhigangbhoj/tardis-work/tardis/tardis/spectrum/formal_integral/base.py (104)\u001b[0m\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[1m\u001b[0m\n", "\u001b[1m\u001b[31mE File \"tardis/spectrum/formal_integral/base.py\", line 104:\u001b[0m\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[1mdef intensity_black_body(nu, temperature):\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m\n", "\u001b[1m\u001b[31mE coefficient = 2 * H_CGS * C_INV * C_INV\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[1m return coefficient * nu * nu * nu / (np.exp(H_CGS * nu * beta_rad) - 1)\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m \u001b[1m^\u001b[0m\u001b[0m\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m\u001b[1mDuring: Pass nopython_type_inference\u001b[0m\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m\u001b[1mDuring: resolving callee type: type(CUDADispatcher())\u001b[0m\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m\u001b[1mDuring: typing of call at /home/riddhigangbhoj/tardis-work/tardis/tardis/spectrum/formal_integral/tests/test_cuda_formal_integral.py (22)\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[1m\u001b[0m\n", "\u001b[1m\u001b[31mE File \"tardis/spectrum/formal_integral/tests/test_cuda_formal_integral.py\", line 22:\u001b[0m\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[1mdef black_body_caller(nu, temperature, actual):\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m\n", "\u001b[1m\u001b[31mE x = cuda.grid(1)\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[1m actual[x] = formal_integral_cuda.intensity_black_body_cuda(nu, temperature)\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m \u001b[1m^\u001b[0m\u001b[0m\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m\u001b[1mDuring: Pass nopython_type_inference\u001b[0m\u001b[0m\n", "\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-ce43cec0/lib/python3.13/site-packages/numba/core/typeinfer.py\u001b[0m:1074: TypingError\n", "\u001b[31m\u001b[1m_____________________ test_intensity_black_body_cuda[1-1] ______________________\u001b[0m\n", "\n", "nu = 1, temperature = 1\n", "\n", " \u001b[0m\u001b[37m@pytest\u001b[39;49;00m.mark.skipif(\u001b[90m\u001b[39;49;00m\n", " \u001b[95mnot\u001b[39;49;00m GPUs_available, reason=\u001b[33m\"\u001b[39;49;00m\u001b[33mNo GPU is available to test CUDA function\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n", " )\u001b[90m\u001b[39;49;00m\n", " \u001b[37m@pytest\u001b[39;49;00m.mark.parametrize(\u001b[90m\u001b[39;49;00m\n", " [\u001b[33m\"\u001b[39;49;00m\u001b[33mnu\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m, \u001b[33m\"\u001b[39;49;00m\u001b[33mtemperature\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m],\u001b[90m\u001b[39;49;00m\n", " [\u001b[90m\u001b[39;49;00m\n", " (\u001b[94m1e14\u001b[39;49;00m, \u001b[94m1e4\u001b[39;49;00m),\u001b[90m\u001b[39;49;00m\n", " (\u001b[94m0\u001b[39;49;00m, \u001b[94m1\u001b[39;49;00m),\u001b[90m\u001b[39;49;00m\n", " (\u001b[94m1\u001b[39;49;00m, \u001b[94m1\u001b[39;49;00m),\u001b[90m\u001b[39;49;00m\n", " ],\u001b[90m\u001b[39;49;00m\n", " )\u001b[90m\u001b[39;49;00m\n", " \u001b[94mdef\u001b[39;49;00m\u001b[90m \u001b[39;49;00m\u001b[92mtest_intensity_black_body_cuda\u001b[39;49;00m(nu, temperature):\u001b[90m\u001b[39;49;00m\n", " \u001b[90m \u001b[39;49;00m\u001b[33m\"\"\"\u001b[39;49;00m\n", " \u001b[33m Initializes the test of the cuda version\u001b[39;49;00m\n", " \u001b[33m against the numba implementation of the\u001b[39;49;00m\n", " \u001b[33m intensity_black_body to 15 decimals. This\u001b[39;49;00m\n", " \u001b[33m is done as both results have 15 digits of precision.\u001b[39;49;00m\n", " \u001b[33m \"\"\"\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n", " actual = np.zeros(\u001b[94m3\u001b[39;49;00m)\u001b[90m\u001b[39;49;00m\n", "> black_body_caller[\u001b[94m1\u001b[39;49;00m, \u001b[94m3\u001b[39;49;00m](nu, temperature, actual)\u001b[90m\u001b[39;49;00m\n", "\n", "\u001b[1m\u001b[31mtardis/spectrum/formal_integral/tests/test_cuda_formal_integral.py\u001b[0m:48: \n", "_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-ce43cec0/lib/python3.13/site-packages/numba/cuda/dispatcher.py\u001b[0m:539: in __call__\n", " \u001b[0m\u001b[94mreturn\u001b[39;49;00m \u001b[96mself\u001b[39;49;00m.dispatcher.call(args, \u001b[96mself\u001b[39;49;00m.griddim, \u001b[96mself\u001b[39;49;00m.blockdim,\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-ce43cec0/lib/python3.13/site-packages/numba/cuda/dispatcher.py\u001b[0m:681: in call\n", " \u001b[0mkernel = _dispatcher.Dispatcher._cuda_call(\u001b[96mself\u001b[39;49;00m, *args)\u001b[90m\u001b[39;49;00m\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-ce43cec0/lib/python3.13/site-packages/numba/cuda/dispatcher.py\u001b[0m:689: in _compile_for_args\n", " \u001b[0m\u001b[94mreturn\u001b[39;49;00m \u001b[96mself\u001b[39;49;00m.compile(\u001b[96mtuple\u001b[39;49;00m(argtypes))\u001b[90m\u001b[39;49;00m\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-ce43cec0/lib/python3.13/site-packages/numba/cuda/dispatcher.py\u001b[0m:932: in compile\n", " \u001b[0mkernel = _Kernel(\u001b[96mself\u001b[39;49;00m.py_func, argtypes, **\u001b[96mself\u001b[39;49;00m.targetoptions)\u001b[90m\u001b[39;49;00m\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-ce43cec0/lib/python3.13/site-packages/numba/core/compiler_lock.py\u001b[0m:35: in _acquire_compile_lock\n", " \u001b[0m\u001b[94mreturn\u001b[39;49;00m func(*args, **kwargs)\u001b[90m\u001b[39;49;00m\n", " ^^^^^^^^^^^^^^^^^^^^^\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-ce43cec0/lib/python3.13/site-packages/numba/cuda/dispatcher.py\u001b[0m:83: in __init__\n", " \u001b[0mcres = compile_cuda(\u001b[96mself\u001b[39;49;00m.py_func, types.void, \u001b[96mself\u001b[39;49;00m.argtypes,\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-ce43cec0/lib/python3.13/site-packages/numba/core/compiler_lock.py\u001b[0m:35: in _acquire_compile_lock\n", " \u001b[0m\u001b[94mreturn\u001b[39;49;00m func(*args, **kwargs)\u001b[90m\u001b[39;49;00m\n", " ^^^^^^^^^^^^^^^^^^^^^\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-ce43cec0/lib/python3.13/site-packages/numba/cuda/compiler.py\u001b[0m:196: in compile_cuda\n", " \u001b[0mcres = compiler.compile_extra(typingctx=typingctx,\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-ce43cec0/lib/python3.13/site-packages/numba/core/compiler.py\u001b[0m:739: in compile_extra\n", " \u001b[0m\u001b[94mreturn\u001b[39;49;00m pipeline.compile_extra(func)\u001b[90m\u001b[39;49;00m\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-ce43cec0/lib/python3.13/site-packages/numba/core/compiler.py\u001b[0m:439: in compile_extra\n", " \u001b[0m\u001b[94mreturn\u001b[39;49;00m \u001b[96mself\u001b[39;49;00m._compile_bytecode()\u001b[90m\u001b[39;49;00m\n", " ^^^^^^^^^^^^^^^^^^^^^^^^\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-ce43cec0/lib/python3.13/site-packages/numba/core/compiler.py\u001b[0m:505: in _compile_bytecode\n", " \u001b[0m\u001b[94mreturn\u001b[39;49;00m \u001b[96mself\u001b[39;49;00m._compile_core()\u001b[90m\u001b[39;49;00m\n", " ^^^^^^^^^^^^^^^^^^^^\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-ce43cec0/lib/python3.13/site-packages/numba/core/compiler.py\u001b[0m:484: in _compile_core\n", " \u001b[0m\u001b[94mraise\u001b[39;49;00m e\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-ce43cec0/lib/python3.13/site-packages/numba/core/compiler.py\u001b[0m:473: in _compile_core\n", " \u001b[0mpm.run(\u001b[96mself\u001b[39;49;00m.state)\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-ce43cec0/lib/python3.13/site-packages/numba/core/compiler_machinery.py\u001b[0m:367: in run\n", " \u001b[0m\u001b[94mraise\u001b[39;49;00m patched_exception\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-ce43cec0/lib/python3.13/site-packages/numba/core/compiler_machinery.py\u001b[0m:356: in run\n", " \u001b[0m\u001b[96mself\u001b[39;49;00m._runPass(idx, pass_inst, state)\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-ce43cec0/lib/python3.13/site-packages/numba/core/compiler_lock.py\u001b[0m:35: in _acquire_compile_lock\n", " \u001b[0m\u001b[94mreturn\u001b[39;49;00m func(*args, **kwargs)\u001b[90m\u001b[39;49;00m\n", " ^^^^^^^^^^^^^^^^^^^^^\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-ce43cec0/lib/python3.13/site-packages/numba/core/compiler_machinery.py\u001b[0m:311: in _runPass\n", " \u001b[0mmutated |= check(pss.run_pass, internal_state)\u001b[90m\u001b[39;49;00m\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-ce43cec0/lib/python3.13/site-packages/numba/core/compiler_machinery.py\u001b[0m:272: in check\n", " \u001b[0mmangled = func(compiler_state)\u001b[90m\u001b[39;49;00m\n", " ^^^^^^^^^^^^^^^^^^^^\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-ce43cec0/lib/python3.13/site-packages/numba/core/typed_passes.py\u001b[0m:112: in run_pass\n", " \u001b[0mtypemap, return_type, calltypes, errs = type_inference_stage(\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-ce43cec0/lib/python3.13/site-packages/numba/core/typed_passes.py\u001b[0m:93: in type_inference_stage\n", " \u001b[0merrs = infer.propagate(raise_errors=raise_errors)\u001b[90m\u001b[39;49;00m\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u001b[90m\u001b[39;49;00m\n", "_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n", "\n", "self = \n", "raise_errors = True\n", "\n", " \u001b[0m\u001b[94mdef\u001b[39;49;00m\u001b[90m \u001b[39;49;00m\u001b[92mpropagate\u001b[39;49;00m(\u001b[96mself\u001b[39;49;00m, raise_errors=\u001b[94mTrue\u001b[39;49;00m):\u001b[90m\u001b[39;49;00m\n", " newtoken = \u001b[96mself\u001b[39;49;00m.get_state_token()\u001b[90m\u001b[39;49;00m\n", " oldtoken = \u001b[94mNone\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n", " \u001b[90m# Since the number of types are finite, the typesets will eventually\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n", " \u001b[90m# stop growing.\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n", " \u001b[90m\u001b[39;49;00m\n", " \u001b[94mwhile\u001b[39;49;00m newtoken != oldtoken:\u001b[90m\u001b[39;49;00m\n", " \u001b[96mself\u001b[39;49;00m.debug.propagate_started()\u001b[90m\u001b[39;49;00m\n", " oldtoken = newtoken\u001b[90m\u001b[39;49;00m\n", " \u001b[90m# Errors can appear when the type set is incomplete; only\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n", " \u001b[90m# raise them when there is no progress anymore.\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n", " errors = \u001b[96mself\u001b[39;49;00m.constraints.propagate(\u001b[96mself\u001b[39;49;00m)\u001b[90m\u001b[39;49;00m\n", " newtoken = \u001b[96mself\u001b[39;49;00m.get_state_token()\u001b[90m\u001b[39;49;00m\n", " \u001b[96mself\u001b[39;49;00m.debug.propagate_finished()\u001b[90m\u001b[39;49;00m\n", " \u001b[94mif\u001b[39;49;00m errors:\u001b[90m\u001b[39;49;00m\n", " \u001b[94mif\u001b[39;49;00m raise_errors:\u001b[90m\u001b[39;49;00m\n", " force_lit_args = [e \u001b[94mfor\u001b[39;49;00m e \u001b[95min\u001b[39;49;00m errors\u001b[90m\u001b[39;49;00m\n", " \u001b[94mif\u001b[39;49;00m \u001b[96misinstance\u001b[39;49;00m(e, ForceLiteralArg)]\u001b[90m\u001b[39;49;00m\n", " \u001b[94mif\u001b[39;49;00m \u001b[95mnot\u001b[39;49;00m force_lit_args:\u001b[90m\u001b[39;49;00m\n", "> \u001b[94mraise\u001b[39;49;00m errors[\u001b[94m0\u001b[39;49;00m]\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31mE numba.core.errors.TypingError: Failed in cuda mode pipeline (step: nopython frontend)\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[1m\u001b[1m\u001b[1mFailed in cuda mode pipeline (step: nopython frontend)\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[1m\u001b[1m\u001b[1mUse of unsupported NumPy function 'numpy.exp' or unsupported use of the function.\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[1m\u001b[0m\n", "\u001b[1m\u001b[31mE File \"tardis/spectrum/formal_integral/base.py\", line 104:\u001b[0m\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[1mdef intensity_black_body(nu, temperature):\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m\n", "\u001b[1m\u001b[31mE coefficient = 2 * H_CGS * C_INV * C_INV\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[1m return coefficient * nu * nu * nu / (np.exp(H_CGS * nu * beta_rad) - 1)\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m \u001b[1m^\u001b[0m\u001b[0m\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m\u001b[1mDuring: typing of get attribute at /home/riddhigangbhoj/tardis-work/tardis/tardis/spectrum/formal_integral/base.py (104)\u001b[0m\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[1m\u001b[0m\n", "\u001b[1m\u001b[31mE File \"tardis/spectrum/formal_integral/base.py\", line 104:\u001b[0m\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[1mdef intensity_black_body(nu, temperature):\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m\n", "\u001b[1m\u001b[31mE coefficient = 2 * H_CGS * C_INV * C_INV\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[1m return coefficient * nu * nu * nu / (np.exp(H_CGS * nu * beta_rad) - 1)\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m \u001b[1m^\u001b[0m\u001b[0m\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m\u001b[1mDuring: Pass nopython_type_inference\u001b[0m\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m\u001b[1mDuring: resolving callee type: type(CUDADispatcher())\u001b[0m\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m\u001b[1mDuring: typing of call at /home/riddhigangbhoj/tardis-work/tardis/tardis/spectrum/formal_integral/tests/test_cuda_formal_integral.py (22)\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[1m\u001b[0m\n", "\u001b[1m\u001b[31mE File \"tardis/spectrum/formal_integral/tests/test_cuda_formal_integral.py\", line 22:\u001b[0m\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[1mdef black_body_caller(nu, temperature, actual):\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m\n", "\u001b[1m\u001b[31mE x = cuda.grid(1)\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[1m actual[x] = formal_integral_cuda.intensity_black_body_cuda(nu, temperature)\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m \u001b[1m^\u001b[0m\u001b[0m\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m\u001b[1mDuring: Pass nopython_type_inference\u001b[0m\u001b[0m\n", "\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-ce43cec0/lib/python3.13/site-packages/numba/core/typeinfer.py\u001b[0m:1074: TypingError\n", "\u001b[31m\u001b[1m_____________________ test_full_formal_integral[200000-5] ______________________\u001b[0m\n", "\n", "no_of_packets = 200000, iterations = 5\n", "config_verysimple = {'tardis_config_version': 'v1.0', 'supernova': {'luminosity_requested': , 'time_explosion': \n", "\n", " \u001b[0m\u001b[37m@pytest\u001b[39;49;00m.mark.skipif(\u001b[90m\u001b[39;49;00m\n", " \u001b[95mnot\u001b[39;49;00m GPUs_available, reason=\u001b[33m\"\u001b[39;49;00m\u001b[33mNo GPU is available to test CUDA function\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n", " )\u001b[90m\u001b[39;49;00m\n", " \u001b[37m@pytest\u001b[39;49;00m.mark.parametrize([\u001b[33m\"\u001b[39;49;00m\u001b[33mno_of_packets\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m, \u001b[33m\"\u001b[39;49;00m\u001b[33miterations\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m], [(\u001b[94m200000\u001b[39;49;00m, \u001b[94m5\u001b[39;49;00m)])\u001b[90m\u001b[39;49;00m\n", " \u001b[94mdef\u001b[39;49;00m\u001b[90m \u001b[39;49;00m\u001b[92mtest_full_formal_integral\u001b[39;49;00m(\u001b[90m\u001b[39;49;00m\n", " no_of_packets, iterations, config_verysimple, simulation_verysimple\u001b[90m\u001b[39;49;00m\n", " ):\u001b[90m\u001b[39;49;00m\n", " \u001b[90m \u001b[39;49;00m\u001b[33m\"\"\"\u001b[39;49;00m\n", " \u001b[33m This function initializes both the cuda and numba formal_integrator,\u001b[39;49;00m\n", " \u001b[33m and the runs them and compares results to the 15th decimal place.\u001b[39;49;00m\n", " \u001b[33m This is done as both results have 15 digits of precision.\u001b[39;49;00m\n", " \u001b[33m \"\"\"\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n", " sim = simulation_verysimple\u001b[90m\u001b[39;49;00m\n", " \u001b[90m\u001b[39;49;00m\n", " formal_integrator_numba = FormalIntegrator(\u001b[90m\u001b[39;49;00m\n", " sim.simulation_state, sim.plasma, sim.transport\u001b[90m\u001b[39;49;00m\n", " )\u001b[90m\u001b[39;49;00m\n", " \u001b[90m\u001b[39;49;00m\n", " formal_integrator_cuda = FormalIntegrator(\u001b[90m\u001b[39;49;00m\n", " sim.simulation_state, sim.plasma, sim.transport\u001b[90m\u001b[39;49;00m\n", " )\u001b[90m\u001b[39;49;00m\n", " \u001b[90m\u001b[39;49;00m\n", " \u001b[90m# The function calculate_spectrum sets this property, but in order to test the CUDA.\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n", " \u001b[90m# version it is done manually, as well as to speed up the test.\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n", " formal_integrator_numba.interpolate_shells = \u001b[96mmax\u001b[39;49;00m(\u001b[90m\u001b[39;49;00m\n", " \u001b[94m2\u001b[39;49;00m * formal_integrator_numba.simulation_state.no_of_shells, \u001b[94m80\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n", " )\u001b[90m\u001b[39;49;00m\n", " \u001b[90m\u001b[39;49;00m\n", " formal_integrator_cuda.interpolate_shells = \u001b[96mmax\u001b[39;49;00m(\u001b[90m\u001b[39;49;00m\n", " \u001b[94m2\u001b[39;49;00m * formal_integrator_cuda.simulation_state.no_of_shells, \u001b[94m80\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n", " )\u001b[90m\u001b[39;49;00m\n", " \u001b[90m\u001b[39;49;00m\n", "> res_numba = make_source_function(\u001b[90m\u001b[39;49;00m\n", " formal_integrator_numba.simulation_state,\u001b[90m\u001b[39;49;00m\n", " formal_integrator_numba.plasma,\u001b[90m\u001b[39;49;00m\n", " formal_integrator_numba.transport,\u001b[90m\u001b[39;49;00m\n", " formal_integrator_numba.interpolate_shells\u001b[90m\u001b[39;49;00m\n", " )\u001b[90m\u001b[39;49;00m\n", "\n", "\u001b[1m\u001b[31mtardis/spectrum/formal_integral/tests/test_cuda_formal_integral.py\u001b[0m:329: \n", "_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n", "\n", "simulation_state = \n", "opacity_state = \n", "transport = \n", "plasma = 80, interpolate_shells = 0\n", "\n", " \u001b[0m\u001b[94mdef\u001b[39;49;00m\u001b[90m \u001b[39;49;00m\u001b[92mmake_source_function\u001b[39;49;00m(simulation_state, opacity_state, transport, plasma, interpolate_shells=\u001b[94m0\u001b[39;49;00m):\u001b[90m\u001b[39;49;00m\n", " \u001b[90m \u001b[39;49;00m\u001b[33m\"\"\"\u001b[39;49;00m\n", " \u001b[33m Calculates the source function using the line absorption rate estimator `Edotlu_estimator`\u001b[39;49;00m\n", " \u001b[33m\u001b[39;49;00m\n", " \u001b[33m Formally it calculates the expression ( 1 - exp(-tau_ul) ) S_ul but this product is what we need later,\u001b[39;49;00m\n", " \u001b[33m so there is no need to factor out the source function explicitly.\u001b[39;49;00m\n", " \u001b[33m Parameters\u001b[39;49;00m\n", " \u001b[33m ----------\u001b[39;49;00m\n", " \u001b[33m simulation_state : tardis.model.SimulationState\u001b[39;49;00m\n", " \u001b[33m opacity_state : tardis.opacity.OpacityStateNumba\u001b[39;49;00m\n", " \u001b[33m transport : tardis.transport.montecarlo.MonteCarloTransportSolver\u001b[39;49;00m\n", " \u001b[33m plasma : tardis.plasma.BasePlasma\u001b[39;49;00m\n", " \u001b[33m interpolate_shells : int\u001b[39;49;00m\n", " \u001b[33m Number of shells to interpolate to. If set to 0, no interpolation is performed.\u001b[39;49;00m\n", " \u001b[33m\u001b[39;49;00m\n", " \u001b[33m Returns\u001b[39;49;00m\n", " \u001b[33m -------\u001b[39;49;00m\n", " \u001b[33m Numpy array containing ( 1 - exp(-tau_ul) ) S_ul ordered by wavelength of the transition u -> l\u001b[39;49;00m\n", " \u001b[33m \"\"\"\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n", " \u001b[90m\u001b[39;49;00m\n", " montecarlo_transport_state = transport.transport_state\u001b[90m\u001b[39;49;00m\n", "> atomic_data = plasma.atomic_data\u001b[90m\u001b[39;49;00m\n", " ^^^^^^^^^^^^^^^^^^\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31mE AttributeError: 'int' object has no attribute 'atomic_data'\u001b[0m\n", "\n", "\u001b[1m\u001b[31mtardis/spectrum/formal_integral/base.py\u001b[0m:128: AttributeError\n", "\u001b[36m\u001b[1m=========================== short test summary info ============================\u001b[0m\n", "\u001b[31mFAILED\u001b[0m tardis/spectrum/formal_integral/tests/test_cuda_formal_integral.py::\u001b[1mtest_intensity_black_body_cuda[100000000000000.0-10000.0]\u001b[0m - numba.core.errors.TypingError: Failed in cuda mode pipeline (step: nopython...\n", "\u001b[31mFAILED\u001b[0m tardis/spectrum/formal_integral/tests/test_cuda_formal_integral.py::\u001b[1mtest_intensity_black_body_cuda[0-1]\u001b[0m - numba.core.errors.TypingError: Failed in cuda mode pipeline (step: nopython...\n", "\u001b[31mFAILED\u001b[0m tardis/spectrum/formal_integral/tests/test_cuda_formal_integral.py::\u001b[1mtest_intensity_black_body_cuda[1-1]\u001b[0m - numba.core.errors.TypingError: Failed in cuda mode pipeline (step: nopython...\n", "\u001b[31mFAILED\u001b[0m tardis/spectrum/formal_integral/tests/test_cuda_formal_integral.py::\u001b[1mtest_full_formal_integral[200000-5]\u001b[0m - AttributeError: 'int' object has no attribute 'atomic_data'\n", "\u001b[31m= \u001b[31m\u001b[1m4 failed\u001b[0m, \u001b[32m648 passed\u001b[0m, \u001b[33m125 skipped\u001b[0m, \u001b[33m2 deselected\u001b[0m, \u001b[33m22 xfailed\u001b[0m, \u001b[33m8 xpassed\u001b[0m, \u001b[33m344 warnings\u001b[0m, \u001b[33m1041 regression data written\u001b[0m\u001b[31m in 791.08s (0:13:11)\u001b[0m\u001b[31m =\u001b[0m\n", "\n", "\n", "ERROR:tardisbase.testing.regression_comparison.run_tests:Stderr: \n", "Packets: ████████████████████████████████████████████████████████████████████\n", "\n", "Iterations: \n", "\n", "ERROR conda.cli.main_run:execute(127): `conda run python -m pytest tardis --tardis-regression-data=/home/riddhigangbhoj/tardis-work/tardis-regression-data --generate-reference --disable-warnings -m not continuum` failed. (See above for error)\n", "\n", "INFO:tardisbase.testing.regression_comparison.run_tests:\n", "=== Phase 2: Running 'continuum' tests for commit ce43cec0fa5d9255108c90c84659c71d34fb1c26 ===\n", "INFO:tardisbase.testing.regression_comparison.run_tests:Running continuum tests: conda run -n tardis-test-ce43cec0 python -m pytest tardis --tardis-regression-data=/home/riddhigangbhoj/tardis-work/tardis-regression-data --generate-reference --disable-warnings -m continuum\n", "WARNING:tardisbase.testing.regression_comparison.run_tests:Tests completed with some failures for commit ce43cec0fa5d9255108c90c84659c71d34fb1c26, but regression data was generated\n", "INFO:tardisbase.testing.regression_comparison.run_tests:Processing commit 3/3: fa4c4ea98055ea3bef24d69feba26fb5f74c2ddf\n", "INFO:tardisbase.testing.regression_comparison.run_tests:Creating conda environment: tardis-test-fa4c4ea9\n", "INFO:tardisbase.testing.regression_comparison.run_tests:Checking if environment tardis-test-fa4c4ea9 exists...\n", "INFO:tardisbase.testing.regression_comparison.run_tests:Environment tardis-test-fa4c4ea9 exists, removing it for recreation...\n", "INFO:tardisbase.testing.regression_comparison.run_tests:Creating conda environment: conda create --name tardis-test-fa4c4ea9 --file /tmp/tmpvmuy4cbz.lock -y\n", "INFO:tardisbase.testing.regression_comparison.run_tests:Installing TARDIS with all extras ['viz', 'tardisbase']: conda run -n tardis-test-fa4c4ea9 pip install -e /home/riddhigangbhoj/tardis-work/tardis[viz,tardisbase]\n", "INFO:tardisbase.testing.regression_comparison.run_tests:\n", "=== Phase 1: Running 'not continuum' tests for commit fa4c4ea98055ea3bef24d69feba26fb5f74c2ddf ===\n", "INFO:tardisbase.testing.regression_comparison.run_tests:Running not continuum tests: conda run -n tardis-test-fa4c4ea9 python -m pytest tardis --tardis-regression-data=/home/riddhigangbhoj/tardis-work/tardis-regression-data --generate-reference --disable-warnings -m not continuum\n", "WARNING:tardisbase.testing.regression_comparison.run_tests:'not continuum' tests had failures for commit fa4c4ea98055ea3bef24d69feba26fb5f74c2ddf\n", "INFO:tardisbase.testing.regression_comparison.run_tests:Stdout: \u001b[1m============================= test session starts ==============================\u001b[0m\n", "platform linux -- Python 3.13.3, pytest-8.4.0, pluggy-1.6.0\n", "rootdir: /home/riddhigangbhoj/tardis-work/tardis\n", "configfile: pyproject.toml\n", "plugins: anyio-4.9.0, cov-6.1.1, doctestplus-1.4.0, metadata-3.1.1, html-4.1.1\n", "collected 1850 items / 2 deselected / 1848 selected\n", "\n", "tardis/energy_input/tests/test_energy_source.py \u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[33mx\u001b[0m\u001b[33mx\u001b[0m\u001b[33mx\u001b[0m\u001b[33m [ 0%]\u001b[0m\n", "tardis/energy_input/tests/test_gamma_ray_channel.py 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\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[31m [ 99%]\n", "\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[32m.\u001b[0m\u001b[31m [100%]\u001b[0m\n", "\n", "=================================== FAILURES ===================================\n", "\u001b[31m\u001b[1m__________ test_intensity_black_body_cuda[100000000000000.0-10000.0] ___________\u001b[0m\n", "\n", "nu = 100000000000000.0, temperature = 10000.0\n", "\n", " \u001b[0m\u001b[37m@pytest\u001b[39;49;00m.mark.skipif(\u001b[90m\u001b[39;49;00m\n", " \u001b[95mnot\u001b[39;49;00m GPUs_available, reason=\u001b[33m\"\u001b[39;49;00m\u001b[33mNo GPU is available to test CUDA function\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n", " )\u001b[90m\u001b[39;49;00m\n", " \u001b[37m@pytest\u001b[39;49;00m.mark.parametrize(\u001b[90m\u001b[39;49;00m\n", " [\u001b[33m\"\u001b[39;49;00m\u001b[33mnu\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m, \u001b[33m\"\u001b[39;49;00m\u001b[33mtemperature\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m],\u001b[90m\u001b[39;49;00m\n", " [\u001b[90m\u001b[39;49;00m\n", " (\u001b[94m1e14\u001b[39;49;00m, \u001b[94m1e4\u001b[39;49;00m),\u001b[90m\u001b[39;49;00m\n", " (\u001b[94m0\u001b[39;49;00m, \u001b[94m1\u001b[39;49;00m),\u001b[90m\u001b[39;49;00m\n", " (\u001b[94m1\u001b[39;49;00m, \u001b[94m1\u001b[39;49;00m),\u001b[90m\u001b[39;49;00m\n", " ],\u001b[90m\u001b[39;49;00m\n", " )\u001b[90m\u001b[39;49;00m\n", " \u001b[94mdef\u001b[39;49;00m\u001b[90m \u001b[39;49;00m\u001b[92mtest_intensity_black_body_cuda\u001b[39;49;00m(nu, temperature):\u001b[90m\u001b[39;49;00m\n", " \u001b[90m \u001b[39;49;00m\u001b[33m\"\"\"\u001b[39;49;00m\n", " \u001b[33m Initializes the test of the cuda version\u001b[39;49;00m\n", " \u001b[33m against the numba implementation of the\u001b[39;49;00m\n", " \u001b[33m intensity_black_body to 15 decimals. This\u001b[39;49;00m\n", " \u001b[33m is done as both results have 15 digits of precision.\u001b[39;49;00m\n", " \u001b[33m \"\"\"\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n", " actual = np.zeros(\u001b[94m3\u001b[39;49;00m)\u001b[90m\u001b[39;49;00m\n", "> black_body_caller[\u001b[94m1\u001b[39;49;00m, \u001b[94m3\u001b[39;49;00m](nu, temperature, actual)\u001b[90m\u001b[39;49;00m\n", "\n", "\u001b[1m\u001b[31mtardis/spectrum/formal_integral/tests/test_cuda_formal_integral.py\u001b[0m:48: \n", "_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-fa4c4ea9/lib/python3.13/site-packages/numba/cuda/dispatcher.py\u001b[0m:539: in __call__\n", " \u001b[0m\u001b[94mreturn\u001b[39;49;00m \u001b[96mself\u001b[39;49;00m.dispatcher.call(args, \u001b[96mself\u001b[39;49;00m.griddim, \u001b[96mself\u001b[39;49;00m.blockdim,\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-fa4c4ea9/lib/python3.13/site-packages/numba/cuda/dispatcher.py\u001b[0m:681: in call\n", " \u001b[0mkernel = _dispatcher.Dispatcher._cuda_call(\u001b[96mself\u001b[39;49;00m, *args)\u001b[90m\u001b[39;49;00m\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-fa4c4ea9/lib/python3.13/site-packages/numba/cuda/dispatcher.py\u001b[0m:689: in _compile_for_args\n", " \u001b[0m\u001b[94mreturn\u001b[39;49;00m \u001b[96mself\u001b[39;49;00m.compile(\u001b[96mtuple\u001b[39;49;00m(argtypes))\u001b[90m\u001b[39;49;00m\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-fa4c4ea9/lib/python3.13/site-packages/numba/cuda/dispatcher.py\u001b[0m:932: in compile\n", " \u001b[0mkernel = _Kernel(\u001b[96mself\u001b[39;49;00m.py_func, argtypes, **\u001b[96mself\u001b[39;49;00m.targetoptions)\u001b[90m\u001b[39;49;00m\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-fa4c4ea9/lib/python3.13/site-packages/numba/core/compiler_lock.py\u001b[0m:35: in _acquire_compile_lock\n", " \u001b[0m\u001b[94mreturn\u001b[39;49;00m func(*args, **kwargs)\u001b[90m\u001b[39;49;00m\n", " ^^^^^^^^^^^^^^^^^^^^^\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-fa4c4ea9/lib/python3.13/site-packages/numba/cuda/dispatcher.py\u001b[0m:83: in __init__\n", " \u001b[0mcres = compile_cuda(\u001b[96mself\u001b[39;49;00m.py_func, types.void, \u001b[96mself\u001b[39;49;00m.argtypes,\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-fa4c4ea9/lib/python3.13/site-packages/numba/core/compiler_lock.py\u001b[0m:35: in _acquire_compile_lock\n", " \u001b[0m\u001b[94mreturn\u001b[39;49;00m func(*args, **kwargs)\u001b[90m\u001b[39;49;00m\n", " ^^^^^^^^^^^^^^^^^^^^^\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-fa4c4ea9/lib/python3.13/site-packages/numba/cuda/compiler.py\u001b[0m:196: in compile_cuda\n", " \u001b[0mcres = compiler.compile_extra(typingctx=typingctx,\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-fa4c4ea9/lib/python3.13/site-packages/numba/core/compiler.py\u001b[0m:739: in compile_extra\n", " \u001b[0m\u001b[94mreturn\u001b[39;49;00m pipeline.compile_extra(func)\u001b[90m\u001b[39;49;00m\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-fa4c4ea9/lib/python3.13/site-packages/numba/core/compiler.py\u001b[0m:439: in compile_extra\n", " \u001b[0m\u001b[94mreturn\u001b[39;49;00m \u001b[96mself\u001b[39;49;00m._compile_bytecode()\u001b[90m\u001b[39;49;00m\n", " ^^^^^^^^^^^^^^^^^^^^^^^^\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-fa4c4ea9/lib/python3.13/site-packages/numba/core/compiler.py\u001b[0m:505: in _compile_bytecode\n", " \u001b[0m\u001b[94mreturn\u001b[39;49;00m \u001b[96mself\u001b[39;49;00m._compile_core()\u001b[90m\u001b[39;49;00m\n", " ^^^^^^^^^^^^^^^^^^^^\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-fa4c4ea9/lib/python3.13/site-packages/numba/core/compiler.py\u001b[0m:484: in _compile_core\n", " \u001b[0m\u001b[94mraise\u001b[39;49;00m e\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-fa4c4ea9/lib/python3.13/site-packages/numba/core/compiler.py\u001b[0m:473: in _compile_core\n", " \u001b[0mpm.run(\u001b[96mself\u001b[39;49;00m.state)\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-fa4c4ea9/lib/python3.13/site-packages/numba/core/compiler_machinery.py\u001b[0m:367: in run\n", " \u001b[0m\u001b[94mraise\u001b[39;49;00m patched_exception\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-fa4c4ea9/lib/python3.13/site-packages/numba/core/compiler_machinery.py\u001b[0m:356: in run\n", " \u001b[0m\u001b[96mself\u001b[39;49;00m._runPass(idx, pass_inst, state)\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-fa4c4ea9/lib/python3.13/site-packages/numba/core/compiler_lock.py\u001b[0m:35: in _acquire_compile_lock\n", " \u001b[0m\u001b[94mreturn\u001b[39;49;00m func(*args, **kwargs)\u001b[90m\u001b[39;49;00m\n", " ^^^^^^^^^^^^^^^^^^^^^\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-fa4c4ea9/lib/python3.13/site-packages/numba/core/compiler_machinery.py\u001b[0m:311: in _runPass\n", " \u001b[0mmutated |= check(pss.run_pass, internal_state)\u001b[90m\u001b[39;49;00m\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-fa4c4ea9/lib/python3.13/site-packages/numba/core/compiler_machinery.py\u001b[0m:272: in check\n", " \u001b[0mmangled = func(compiler_state)\u001b[90m\u001b[39;49;00m\n", " ^^^^^^^^^^^^^^^^^^^^\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-fa4c4ea9/lib/python3.13/site-packages/numba/core/typed_passes.py\u001b[0m:112: in run_pass\n", " \u001b[0mtypemap, return_type, calltypes, errs = type_inference_stage(\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-fa4c4ea9/lib/python3.13/site-packages/numba/core/typed_passes.py\u001b[0m:93: in type_inference_stage\n", " \u001b[0merrs = infer.propagate(raise_errors=raise_errors)\u001b[90m\u001b[39;49;00m\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u001b[90m\u001b[39;49;00m\n", "_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n", "\n", "self = \n", "raise_errors = True\n", "\n", " \u001b[0m\u001b[94mdef\u001b[39;49;00m\u001b[90m \u001b[39;49;00m\u001b[92mpropagate\u001b[39;49;00m(\u001b[96mself\u001b[39;49;00m, raise_errors=\u001b[94mTrue\u001b[39;49;00m):\u001b[90m\u001b[39;49;00m\n", " newtoken = \u001b[96mself\u001b[39;49;00m.get_state_token()\u001b[90m\u001b[39;49;00m\n", " oldtoken = \u001b[94mNone\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n", " \u001b[90m# Since the number of types are finite, the typesets will eventually\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n", " \u001b[90m# stop growing.\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n", " \u001b[90m\u001b[39;49;00m\n", " \u001b[94mwhile\u001b[39;49;00m newtoken != oldtoken:\u001b[90m\u001b[39;49;00m\n", " \u001b[96mself\u001b[39;49;00m.debug.propagate_started()\u001b[90m\u001b[39;49;00m\n", " oldtoken = newtoken\u001b[90m\u001b[39;49;00m\n", " \u001b[90m# Errors can appear when the type set is incomplete; only\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n", " \u001b[90m# raise them when there is no progress anymore.\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n", " errors = \u001b[96mself\u001b[39;49;00m.constraints.propagate(\u001b[96mself\u001b[39;49;00m)\u001b[90m\u001b[39;49;00m\n", " newtoken = \u001b[96mself\u001b[39;49;00m.get_state_token()\u001b[90m\u001b[39;49;00m\n", " \u001b[96mself\u001b[39;49;00m.debug.propagate_finished()\u001b[90m\u001b[39;49;00m\n", " \u001b[94mif\u001b[39;49;00m errors:\u001b[90m\u001b[39;49;00m\n", " \u001b[94mif\u001b[39;49;00m raise_errors:\u001b[90m\u001b[39;49;00m\n", " force_lit_args = [e \u001b[94mfor\u001b[39;49;00m e \u001b[95min\u001b[39;49;00m errors\u001b[90m\u001b[39;49;00m\n", " \u001b[94mif\u001b[39;49;00m \u001b[96misinstance\u001b[39;49;00m(e, ForceLiteralArg)]\u001b[90m\u001b[39;49;00m\n", " \u001b[94mif\u001b[39;49;00m \u001b[95mnot\u001b[39;49;00m force_lit_args:\u001b[90m\u001b[39;49;00m\n", "> \u001b[94mraise\u001b[39;49;00m errors[\u001b[94m0\u001b[39;49;00m]\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31mE numba.core.errors.TypingError: Failed in cuda mode pipeline (step: nopython frontend)\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[1m\u001b[1m\u001b[1mFailed in cuda mode pipeline (step: nopython frontend)\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[1m\u001b[1m\u001b[1mUse of unsupported NumPy function 'numpy.exp' or unsupported use of the function.\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[1m\u001b[0m\n", "\u001b[1m\u001b[31mE File \"tardis/spectrum/formal_integral/base.py\", line 104:\u001b[0m\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[1mdef intensity_black_body(nu, temperature):\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m\n", "\u001b[1m\u001b[31mE coefficient = 2 * H_CGS * C_INV * C_INV\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[1m return coefficient * nu * nu * nu / (np.exp(H_CGS * nu * beta_rad) - 1)\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m \u001b[1m^\u001b[0m\u001b[0m\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m\u001b[1mDuring: typing of get attribute at /home/riddhigangbhoj/tardis-work/tardis/tardis/spectrum/formal_integral/base.py (104)\u001b[0m\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[1m\u001b[0m\n", "\u001b[1m\u001b[31mE File \"tardis/spectrum/formal_integral/base.py\", line 104:\u001b[0m\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[1mdef intensity_black_body(nu, temperature):\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m\n", "\u001b[1m\u001b[31mE coefficient = 2 * H_CGS * C_INV * C_INV\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[1m return coefficient * nu * nu * nu / (np.exp(H_CGS * nu * beta_rad) - 1)\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m \u001b[1m^\u001b[0m\u001b[0m\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m\u001b[1mDuring: Pass nopython_type_inference\u001b[0m\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m\u001b[1mDuring: resolving callee type: type(CUDADispatcher())\u001b[0m\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m\u001b[1mDuring: typing of call at /home/riddhigangbhoj/tardis-work/tardis/tardis/spectrum/formal_integral/tests/test_cuda_formal_integral.py (22)\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[1m\u001b[0m\n", "\u001b[1m\u001b[31mE File \"tardis/spectrum/formal_integral/tests/test_cuda_formal_integral.py\", line 22:\u001b[0m\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[1mdef black_body_caller(nu, temperature, actual):\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m\n", "\u001b[1m\u001b[31mE x = cuda.grid(1)\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[1m actual[x] = formal_integral_cuda.intensity_black_body_cuda(nu, temperature)\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m \u001b[1m^\u001b[0m\u001b[0m\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m\u001b[1mDuring: Pass nopython_type_inference\u001b[0m\u001b[0m\n", "\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-fa4c4ea9/lib/python3.13/site-packages/numba/core/typeinfer.py\u001b[0m:1074: TypingError\n", "\u001b[31m\u001b[1m_____________________ test_intensity_black_body_cuda[0-1] ______________________\u001b[0m\n", "\n", "nu = 0, temperature = 1\n", "\n", " \u001b[0m\u001b[37m@pytest\u001b[39;49;00m.mark.skipif(\u001b[90m\u001b[39;49;00m\n", " \u001b[95mnot\u001b[39;49;00m GPUs_available, reason=\u001b[33m\"\u001b[39;49;00m\u001b[33mNo GPU is available to test CUDA function\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n", " )\u001b[90m\u001b[39;49;00m\n", " \u001b[37m@pytest\u001b[39;49;00m.mark.parametrize(\u001b[90m\u001b[39;49;00m\n", " [\u001b[33m\"\u001b[39;49;00m\u001b[33mnu\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m, \u001b[33m\"\u001b[39;49;00m\u001b[33mtemperature\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m],\u001b[90m\u001b[39;49;00m\n", " [\u001b[90m\u001b[39;49;00m\n", " (\u001b[94m1e14\u001b[39;49;00m, \u001b[94m1e4\u001b[39;49;00m),\u001b[90m\u001b[39;49;00m\n", " (\u001b[94m0\u001b[39;49;00m, \u001b[94m1\u001b[39;49;00m),\u001b[90m\u001b[39;49;00m\n", " (\u001b[94m1\u001b[39;49;00m, \u001b[94m1\u001b[39;49;00m),\u001b[90m\u001b[39;49;00m\n", " ],\u001b[90m\u001b[39;49;00m\n", " )\u001b[90m\u001b[39;49;00m\n", " \u001b[94mdef\u001b[39;49;00m\u001b[90m \u001b[39;49;00m\u001b[92mtest_intensity_black_body_cuda\u001b[39;49;00m(nu, temperature):\u001b[90m\u001b[39;49;00m\n", " \u001b[90m \u001b[39;49;00m\u001b[33m\"\"\"\u001b[39;49;00m\n", " \u001b[33m Initializes the test of the cuda version\u001b[39;49;00m\n", " \u001b[33m against the numba implementation of the\u001b[39;49;00m\n", " \u001b[33m intensity_black_body to 15 decimals. This\u001b[39;49;00m\n", " \u001b[33m is done as both results have 15 digits of precision.\u001b[39;49;00m\n", " \u001b[33m \"\"\"\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n", " actual = np.zeros(\u001b[94m3\u001b[39;49;00m)\u001b[90m\u001b[39;49;00m\n", "> black_body_caller[\u001b[94m1\u001b[39;49;00m, \u001b[94m3\u001b[39;49;00m](nu, temperature, actual)\u001b[90m\u001b[39;49;00m\n", "\n", "\u001b[1m\u001b[31mtardis/spectrum/formal_integral/tests/test_cuda_formal_integral.py\u001b[0m:48: \n", "_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-fa4c4ea9/lib/python3.13/site-packages/numba/cuda/dispatcher.py\u001b[0m:539: in __call__\n", " \u001b[0m\u001b[94mreturn\u001b[39;49;00m \u001b[96mself\u001b[39;49;00m.dispatcher.call(args, \u001b[96mself\u001b[39;49;00m.griddim, \u001b[96mself\u001b[39;49;00m.blockdim,\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-fa4c4ea9/lib/python3.13/site-packages/numba/cuda/dispatcher.py\u001b[0m:681: in call\n", " \u001b[0mkernel = _dispatcher.Dispatcher._cuda_call(\u001b[96mself\u001b[39;49;00m, *args)\u001b[90m\u001b[39;49;00m\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-fa4c4ea9/lib/python3.13/site-packages/numba/cuda/dispatcher.py\u001b[0m:689: in _compile_for_args\n", " \u001b[0m\u001b[94mreturn\u001b[39;49;00m \u001b[96mself\u001b[39;49;00m.compile(\u001b[96mtuple\u001b[39;49;00m(argtypes))\u001b[90m\u001b[39;49;00m\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-fa4c4ea9/lib/python3.13/site-packages/numba/cuda/dispatcher.py\u001b[0m:932: in compile\n", " \u001b[0mkernel = _Kernel(\u001b[96mself\u001b[39;49;00m.py_func, argtypes, **\u001b[96mself\u001b[39;49;00m.targetoptions)\u001b[90m\u001b[39;49;00m\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-fa4c4ea9/lib/python3.13/site-packages/numba/core/compiler_lock.py\u001b[0m:35: in _acquire_compile_lock\n", " \u001b[0m\u001b[94mreturn\u001b[39;49;00m func(*args, **kwargs)\u001b[90m\u001b[39;49;00m\n", " ^^^^^^^^^^^^^^^^^^^^^\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-fa4c4ea9/lib/python3.13/site-packages/numba/cuda/dispatcher.py\u001b[0m:83: in __init__\n", " \u001b[0mcres = compile_cuda(\u001b[96mself\u001b[39;49;00m.py_func, types.void, \u001b[96mself\u001b[39;49;00m.argtypes,\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-fa4c4ea9/lib/python3.13/site-packages/numba/core/compiler_lock.py\u001b[0m:35: in _acquire_compile_lock\n", " \u001b[0m\u001b[94mreturn\u001b[39;49;00m func(*args, **kwargs)\u001b[90m\u001b[39;49;00m\n", " ^^^^^^^^^^^^^^^^^^^^^\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-fa4c4ea9/lib/python3.13/site-packages/numba/cuda/compiler.py\u001b[0m:196: in compile_cuda\n", " \u001b[0mcres = compiler.compile_extra(typingctx=typingctx,\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-fa4c4ea9/lib/python3.13/site-packages/numba/core/compiler.py\u001b[0m:739: in compile_extra\n", " \u001b[0m\u001b[94mreturn\u001b[39;49;00m pipeline.compile_extra(func)\u001b[90m\u001b[39;49;00m\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-fa4c4ea9/lib/python3.13/site-packages/numba/core/compiler.py\u001b[0m:439: in compile_extra\n", " \u001b[0m\u001b[94mreturn\u001b[39;49;00m \u001b[96mself\u001b[39;49;00m._compile_bytecode()\u001b[90m\u001b[39;49;00m\n", " ^^^^^^^^^^^^^^^^^^^^^^^^\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-fa4c4ea9/lib/python3.13/site-packages/numba/core/compiler.py\u001b[0m:505: in _compile_bytecode\n", " \u001b[0m\u001b[94mreturn\u001b[39;49;00m \u001b[96mself\u001b[39;49;00m._compile_core()\u001b[90m\u001b[39;49;00m\n", " ^^^^^^^^^^^^^^^^^^^^\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-fa4c4ea9/lib/python3.13/site-packages/numba/core/compiler.py\u001b[0m:484: in _compile_core\n", " \u001b[0m\u001b[94mraise\u001b[39;49;00m e\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-fa4c4ea9/lib/python3.13/site-packages/numba/core/compiler.py\u001b[0m:473: in _compile_core\n", " \u001b[0mpm.run(\u001b[96mself\u001b[39;49;00m.state)\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-fa4c4ea9/lib/python3.13/site-packages/numba/core/compiler_machinery.py\u001b[0m:367: in run\n", " \u001b[0m\u001b[94mraise\u001b[39;49;00m patched_exception\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-fa4c4ea9/lib/python3.13/site-packages/numba/core/compiler_machinery.py\u001b[0m:356: in run\n", " \u001b[0m\u001b[96mself\u001b[39;49;00m._runPass(idx, pass_inst, state)\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-fa4c4ea9/lib/python3.13/site-packages/numba/core/compiler_lock.py\u001b[0m:35: in _acquire_compile_lock\n", " \u001b[0m\u001b[94mreturn\u001b[39;49;00m func(*args, **kwargs)\u001b[90m\u001b[39;49;00m\n", " ^^^^^^^^^^^^^^^^^^^^^\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-fa4c4ea9/lib/python3.13/site-packages/numba/core/compiler_machinery.py\u001b[0m:311: in _runPass\n", " \u001b[0mmutated |= check(pss.run_pass, internal_state)\u001b[90m\u001b[39;49;00m\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-fa4c4ea9/lib/python3.13/site-packages/numba/core/compiler_machinery.py\u001b[0m:272: in check\n", " \u001b[0mmangled = func(compiler_state)\u001b[90m\u001b[39;49;00m\n", " ^^^^^^^^^^^^^^^^^^^^\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-fa4c4ea9/lib/python3.13/site-packages/numba/core/typed_passes.py\u001b[0m:112: in run_pass\n", " \u001b[0mtypemap, return_type, calltypes, errs = type_inference_stage(\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-fa4c4ea9/lib/python3.13/site-packages/numba/core/typed_passes.py\u001b[0m:93: in type_inference_stage\n", " \u001b[0merrs = infer.propagate(raise_errors=raise_errors)\u001b[90m\u001b[39;49;00m\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u001b[90m\u001b[39;49;00m\n", "_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n", "\n", "self = \n", "raise_errors = True\n", "\n", " \u001b[0m\u001b[94mdef\u001b[39;49;00m\u001b[90m \u001b[39;49;00m\u001b[92mpropagate\u001b[39;49;00m(\u001b[96mself\u001b[39;49;00m, raise_errors=\u001b[94mTrue\u001b[39;49;00m):\u001b[90m\u001b[39;49;00m\n", " newtoken = \u001b[96mself\u001b[39;49;00m.get_state_token()\u001b[90m\u001b[39;49;00m\n", " oldtoken = \u001b[94mNone\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n", " \u001b[90m# Since the number of types are finite, the typesets will eventually\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n", " \u001b[90m# stop growing.\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n", " \u001b[90m\u001b[39;49;00m\n", " \u001b[94mwhile\u001b[39;49;00m newtoken != oldtoken:\u001b[90m\u001b[39;49;00m\n", " \u001b[96mself\u001b[39;49;00m.debug.propagate_started()\u001b[90m\u001b[39;49;00m\n", " oldtoken = newtoken\u001b[90m\u001b[39;49;00m\n", " \u001b[90m# Errors can appear when the type set is incomplete; only\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n", " \u001b[90m# raise them when there is no progress anymore.\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n", " errors = \u001b[96mself\u001b[39;49;00m.constraints.propagate(\u001b[96mself\u001b[39;49;00m)\u001b[90m\u001b[39;49;00m\n", " newtoken = \u001b[96mself\u001b[39;49;00m.get_state_token()\u001b[90m\u001b[39;49;00m\n", " \u001b[96mself\u001b[39;49;00m.debug.propagate_finished()\u001b[90m\u001b[39;49;00m\n", " \u001b[94mif\u001b[39;49;00m errors:\u001b[90m\u001b[39;49;00m\n", " \u001b[94mif\u001b[39;49;00m raise_errors:\u001b[90m\u001b[39;49;00m\n", " force_lit_args = [e \u001b[94mfor\u001b[39;49;00m e \u001b[95min\u001b[39;49;00m errors\u001b[90m\u001b[39;49;00m\n", " \u001b[94mif\u001b[39;49;00m \u001b[96misinstance\u001b[39;49;00m(e, ForceLiteralArg)]\u001b[90m\u001b[39;49;00m\n", " \u001b[94mif\u001b[39;49;00m \u001b[95mnot\u001b[39;49;00m force_lit_args:\u001b[90m\u001b[39;49;00m\n", "> \u001b[94mraise\u001b[39;49;00m errors[\u001b[94m0\u001b[39;49;00m]\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31mE numba.core.errors.TypingError: Failed in cuda mode pipeline (step: nopython frontend)\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[1m\u001b[1m\u001b[1mFailed in cuda mode pipeline (step: nopython frontend)\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[1m\u001b[1m\u001b[1mUse of unsupported NumPy function 'numpy.exp' or unsupported use of the function.\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[1m\u001b[0m\n", "\u001b[1m\u001b[31mE File \"tardis/spectrum/formal_integral/base.py\", line 104:\u001b[0m\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[1mdef intensity_black_body(nu, temperature):\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m\n", "\u001b[1m\u001b[31mE coefficient = 2 * H_CGS * C_INV * C_INV\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[1m return coefficient * nu * nu * nu / (np.exp(H_CGS * nu * beta_rad) - 1)\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m \u001b[1m^\u001b[0m\u001b[0m\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m\u001b[1mDuring: typing of get attribute at /home/riddhigangbhoj/tardis-work/tardis/tardis/spectrum/formal_integral/base.py (104)\u001b[0m\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[1m\u001b[0m\n", "\u001b[1m\u001b[31mE File \"tardis/spectrum/formal_integral/base.py\", line 104:\u001b[0m\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[1mdef intensity_black_body(nu, temperature):\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m\n", "\u001b[1m\u001b[31mE coefficient = 2 * H_CGS * C_INV * C_INV\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[1m return coefficient * nu * nu * nu / (np.exp(H_CGS * nu * beta_rad) - 1)\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m \u001b[1m^\u001b[0m\u001b[0m\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m\u001b[1mDuring: Pass nopython_type_inference\u001b[0m\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m\u001b[1mDuring: resolving callee type: type(CUDADispatcher())\u001b[0m\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m\u001b[1mDuring: typing of call at /home/riddhigangbhoj/tardis-work/tardis/tardis/spectrum/formal_integral/tests/test_cuda_formal_integral.py (22)\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[1m\u001b[0m\n", "\u001b[1m\u001b[31mE File \"tardis/spectrum/formal_integral/tests/test_cuda_formal_integral.py\", line 22:\u001b[0m\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[1mdef black_body_caller(nu, temperature, actual):\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m\n", "\u001b[1m\u001b[31mE x = cuda.grid(1)\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[1m actual[x] = formal_integral_cuda.intensity_black_body_cuda(nu, temperature)\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m \u001b[1m^\u001b[0m\u001b[0m\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m\u001b[1mDuring: Pass nopython_type_inference\u001b[0m\u001b[0m\n", "\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-fa4c4ea9/lib/python3.13/site-packages/numba/core/typeinfer.py\u001b[0m:1074: TypingError\n", "\u001b[31m\u001b[1m_____________________ test_intensity_black_body_cuda[1-1] ______________________\u001b[0m\n", "\n", "nu = 1, temperature = 1\n", "\n", " \u001b[0m\u001b[37m@pytest\u001b[39;49;00m.mark.skipif(\u001b[90m\u001b[39;49;00m\n", " \u001b[95mnot\u001b[39;49;00m GPUs_available, reason=\u001b[33m\"\u001b[39;49;00m\u001b[33mNo GPU is available to test CUDA function\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n", " )\u001b[90m\u001b[39;49;00m\n", " \u001b[37m@pytest\u001b[39;49;00m.mark.parametrize(\u001b[90m\u001b[39;49;00m\n", " [\u001b[33m\"\u001b[39;49;00m\u001b[33mnu\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m, \u001b[33m\"\u001b[39;49;00m\u001b[33mtemperature\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m],\u001b[90m\u001b[39;49;00m\n", " [\u001b[90m\u001b[39;49;00m\n", " (\u001b[94m1e14\u001b[39;49;00m, \u001b[94m1e4\u001b[39;49;00m),\u001b[90m\u001b[39;49;00m\n", " (\u001b[94m0\u001b[39;49;00m, \u001b[94m1\u001b[39;49;00m),\u001b[90m\u001b[39;49;00m\n", " (\u001b[94m1\u001b[39;49;00m, \u001b[94m1\u001b[39;49;00m),\u001b[90m\u001b[39;49;00m\n", " ],\u001b[90m\u001b[39;49;00m\n", " )\u001b[90m\u001b[39;49;00m\n", " \u001b[94mdef\u001b[39;49;00m\u001b[90m \u001b[39;49;00m\u001b[92mtest_intensity_black_body_cuda\u001b[39;49;00m(nu, temperature):\u001b[90m\u001b[39;49;00m\n", " \u001b[90m \u001b[39;49;00m\u001b[33m\"\"\"\u001b[39;49;00m\n", " \u001b[33m Initializes the test of the cuda version\u001b[39;49;00m\n", " \u001b[33m against the numba implementation of the\u001b[39;49;00m\n", " \u001b[33m intensity_black_body to 15 decimals. This\u001b[39;49;00m\n", " \u001b[33m is done as both results have 15 digits of precision.\u001b[39;49;00m\n", " \u001b[33m \"\"\"\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n", " actual = np.zeros(\u001b[94m3\u001b[39;49;00m)\u001b[90m\u001b[39;49;00m\n", "> black_body_caller[\u001b[94m1\u001b[39;49;00m, \u001b[94m3\u001b[39;49;00m](nu, temperature, actual)\u001b[90m\u001b[39;49;00m\n", "\n", "\u001b[1m\u001b[31mtardis/spectrum/formal_integral/tests/test_cuda_formal_integral.py\u001b[0m:48: \n", "_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-fa4c4ea9/lib/python3.13/site-packages/numba/cuda/dispatcher.py\u001b[0m:539: in __call__\n", " \u001b[0m\u001b[94mreturn\u001b[39;49;00m \u001b[96mself\u001b[39;49;00m.dispatcher.call(args, \u001b[96mself\u001b[39;49;00m.griddim, \u001b[96mself\u001b[39;49;00m.blockdim,\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-fa4c4ea9/lib/python3.13/site-packages/numba/cuda/dispatcher.py\u001b[0m:681: in call\n", " \u001b[0mkernel = _dispatcher.Dispatcher._cuda_call(\u001b[96mself\u001b[39;49;00m, *args)\u001b[90m\u001b[39;49;00m\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-fa4c4ea9/lib/python3.13/site-packages/numba/cuda/dispatcher.py\u001b[0m:689: in _compile_for_args\n", " \u001b[0m\u001b[94mreturn\u001b[39;49;00m \u001b[96mself\u001b[39;49;00m.compile(\u001b[96mtuple\u001b[39;49;00m(argtypes))\u001b[90m\u001b[39;49;00m\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-fa4c4ea9/lib/python3.13/site-packages/numba/cuda/dispatcher.py\u001b[0m:932: in compile\n", " \u001b[0mkernel = _Kernel(\u001b[96mself\u001b[39;49;00m.py_func, argtypes, **\u001b[96mself\u001b[39;49;00m.targetoptions)\u001b[90m\u001b[39;49;00m\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-fa4c4ea9/lib/python3.13/site-packages/numba/core/compiler_lock.py\u001b[0m:35: in _acquire_compile_lock\n", " \u001b[0m\u001b[94mreturn\u001b[39;49;00m func(*args, **kwargs)\u001b[90m\u001b[39;49;00m\n", " ^^^^^^^^^^^^^^^^^^^^^\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-fa4c4ea9/lib/python3.13/site-packages/numba/cuda/dispatcher.py\u001b[0m:83: in __init__\n", " \u001b[0mcres = compile_cuda(\u001b[96mself\u001b[39;49;00m.py_func, types.void, \u001b[96mself\u001b[39;49;00m.argtypes,\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-fa4c4ea9/lib/python3.13/site-packages/numba/core/compiler_lock.py\u001b[0m:35: in _acquire_compile_lock\n", " \u001b[0m\u001b[94mreturn\u001b[39;49;00m func(*args, **kwargs)\u001b[90m\u001b[39;49;00m\n", " ^^^^^^^^^^^^^^^^^^^^^\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-fa4c4ea9/lib/python3.13/site-packages/numba/cuda/compiler.py\u001b[0m:196: in compile_cuda\n", " \u001b[0mcres = compiler.compile_extra(typingctx=typingctx,\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-fa4c4ea9/lib/python3.13/site-packages/numba/core/compiler.py\u001b[0m:739: in compile_extra\n", " \u001b[0m\u001b[94mreturn\u001b[39;49;00m pipeline.compile_extra(func)\u001b[90m\u001b[39;49;00m\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-fa4c4ea9/lib/python3.13/site-packages/numba/core/compiler.py\u001b[0m:439: in compile_extra\n", " \u001b[0m\u001b[94mreturn\u001b[39;49;00m \u001b[96mself\u001b[39;49;00m._compile_bytecode()\u001b[90m\u001b[39;49;00m\n", " ^^^^^^^^^^^^^^^^^^^^^^^^\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-fa4c4ea9/lib/python3.13/site-packages/numba/core/compiler.py\u001b[0m:505: in _compile_bytecode\n", " \u001b[0m\u001b[94mreturn\u001b[39;49;00m \u001b[96mself\u001b[39;49;00m._compile_core()\u001b[90m\u001b[39;49;00m\n", " ^^^^^^^^^^^^^^^^^^^^\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-fa4c4ea9/lib/python3.13/site-packages/numba/core/compiler.py\u001b[0m:484: in _compile_core\n", " \u001b[0m\u001b[94mraise\u001b[39;49;00m e\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-fa4c4ea9/lib/python3.13/site-packages/numba/core/compiler.py\u001b[0m:473: in _compile_core\n", " \u001b[0mpm.run(\u001b[96mself\u001b[39;49;00m.state)\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-fa4c4ea9/lib/python3.13/site-packages/numba/core/compiler_machinery.py\u001b[0m:367: in run\n", " \u001b[0m\u001b[94mraise\u001b[39;49;00m patched_exception\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-fa4c4ea9/lib/python3.13/site-packages/numba/core/compiler_machinery.py\u001b[0m:356: in run\n", " \u001b[0m\u001b[96mself\u001b[39;49;00m._runPass(idx, pass_inst, state)\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-fa4c4ea9/lib/python3.13/site-packages/numba/core/compiler_lock.py\u001b[0m:35: in _acquire_compile_lock\n", " \u001b[0m\u001b[94mreturn\u001b[39;49;00m func(*args, **kwargs)\u001b[90m\u001b[39;49;00m\n", " ^^^^^^^^^^^^^^^^^^^^^\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-fa4c4ea9/lib/python3.13/site-packages/numba/core/compiler_machinery.py\u001b[0m:311: in _runPass\n", " \u001b[0mmutated |= check(pss.run_pass, internal_state)\u001b[90m\u001b[39;49;00m\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-fa4c4ea9/lib/python3.13/site-packages/numba/core/compiler_machinery.py\u001b[0m:272: in check\n", " \u001b[0mmangled = func(compiler_state)\u001b[90m\u001b[39;49;00m\n", " ^^^^^^^^^^^^^^^^^^^^\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-fa4c4ea9/lib/python3.13/site-packages/numba/core/typed_passes.py\u001b[0m:112: in run_pass\n", " \u001b[0mtypemap, return_type, calltypes, errs = type_inference_stage(\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-fa4c4ea9/lib/python3.13/site-packages/numba/core/typed_passes.py\u001b[0m:93: in type_inference_stage\n", " \u001b[0merrs = infer.propagate(raise_errors=raise_errors)\u001b[90m\u001b[39;49;00m\n", " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u001b[90m\u001b[39;49;00m\n", "_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n", "\n", "self = \n", "raise_errors = True\n", "\n", " \u001b[0m\u001b[94mdef\u001b[39;49;00m\u001b[90m \u001b[39;49;00m\u001b[92mpropagate\u001b[39;49;00m(\u001b[96mself\u001b[39;49;00m, raise_errors=\u001b[94mTrue\u001b[39;49;00m):\u001b[90m\u001b[39;49;00m\n", " newtoken = \u001b[96mself\u001b[39;49;00m.get_state_token()\u001b[90m\u001b[39;49;00m\n", " oldtoken = \u001b[94mNone\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n", " \u001b[90m# Since the number of types are finite, the typesets will eventually\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n", " \u001b[90m# stop growing.\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n", " \u001b[90m\u001b[39;49;00m\n", " \u001b[94mwhile\u001b[39;49;00m newtoken != oldtoken:\u001b[90m\u001b[39;49;00m\n", " \u001b[96mself\u001b[39;49;00m.debug.propagate_started()\u001b[90m\u001b[39;49;00m\n", " oldtoken = newtoken\u001b[90m\u001b[39;49;00m\n", " \u001b[90m# Errors can appear when the type set is incomplete; only\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n", " \u001b[90m# raise them when there is no progress anymore.\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n", " errors = \u001b[96mself\u001b[39;49;00m.constraints.propagate(\u001b[96mself\u001b[39;49;00m)\u001b[90m\u001b[39;49;00m\n", " newtoken = \u001b[96mself\u001b[39;49;00m.get_state_token()\u001b[90m\u001b[39;49;00m\n", " \u001b[96mself\u001b[39;49;00m.debug.propagate_finished()\u001b[90m\u001b[39;49;00m\n", " \u001b[94mif\u001b[39;49;00m errors:\u001b[90m\u001b[39;49;00m\n", " \u001b[94mif\u001b[39;49;00m raise_errors:\u001b[90m\u001b[39;49;00m\n", " force_lit_args = [e \u001b[94mfor\u001b[39;49;00m e \u001b[95min\u001b[39;49;00m errors\u001b[90m\u001b[39;49;00m\n", " \u001b[94mif\u001b[39;49;00m \u001b[96misinstance\u001b[39;49;00m(e, ForceLiteralArg)]\u001b[90m\u001b[39;49;00m\n", " \u001b[94mif\u001b[39;49;00m \u001b[95mnot\u001b[39;49;00m force_lit_args:\u001b[90m\u001b[39;49;00m\n", "> \u001b[94mraise\u001b[39;49;00m errors[\u001b[94m0\u001b[39;49;00m]\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31mE numba.core.errors.TypingError: Failed in cuda mode pipeline (step: nopython frontend)\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[1m\u001b[1m\u001b[1mFailed in cuda mode pipeline (step: nopython frontend)\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[1m\u001b[1m\u001b[1mUse of unsupported NumPy function 'numpy.exp' or unsupported use of the function.\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[1m\u001b[0m\n", "\u001b[1m\u001b[31mE File \"tardis/spectrum/formal_integral/base.py\", line 104:\u001b[0m\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[1mdef intensity_black_body(nu, temperature):\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m\n", "\u001b[1m\u001b[31mE coefficient = 2 * H_CGS * C_INV * C_INV\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[1m return coefficient * nu * nu * nu / (np.exp(H_CGS * nu * beta_rad) - 1)\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m \u001b[1m^\u001b[0m\u001b[0m\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m\u001b[1mDuring: typing of get attribute at /home/riddhigangbhoj/tardis-work/tardis/tardis/spectrum/formal_integral/base.py (104)\u001b[0m\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[1m\u001b[0m\n", "\u001b[1m\u001b[31mE File \"tardis/spectrum/formal_integral/base.py\", line 104:\u001b[0m\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[1mdef intensity_black_body(nu, temperature):\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m\n", "\u001b[1m\u001b[31mE coefficient = 2 * H_CGS * C_INV * C_INV\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[1m return coefficient * nu * nu * nu / (np.exp(H_CGS * nu * beta_rad) - 1)\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m \u001b[1m^\u001b[0m\u001b[0m\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m\u001b[1mDuring: Pass nopython_type_inference\u001b[0m\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m\u001b[1mDuring: resolving callee type: type(CUDADispatcher())\u001b[0m\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m\u001b[1mDuring: typing of call at /home/riddhigangbhoj/tardis-work/tardis/tardis/spectrum/formal_integral/tests/test_cuda_formal_integral.py (22)\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[1m\u001b[0m\n", "\u001b[1m\u001b[31mE File \"tardis/spectrum/formal_integral/tests/test_cuda_formal_integral.py\", line 22:\u001b[0m\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[1mdef black_body_caller(nu, temperature, actual):\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m\n", "\u001b[1m\u001b[31mE x = cuda.grid(1)\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[1m actual[x] = formal_integral_cuda.intensity_black_body_cuda(nu, temperature)\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m \u001b[1m^\u001b[0m\u001b[0m\u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m\n", "\u001b[1m\u001b[31mE \u001b[0m\u001b[1mDuring: Pass nopython_type_inference\u001b[0m\u001b[0m\n", "\n", "\u001b[1m\u001b[31m../../.conda/envs/tardis-test-fa4c4ea9/lib/python3.13/site-packages/numba/core/typeinfer.py\u001b[0m:1074: TypingError\n", "\u001b[31m\u001b[1m_____________________ test_full_formal_integral[200000-5] ______________________\u001b[0m\n", "\n", "no_of_packets = 200000, iterations = 5\n", "config_verysimple = {'tardis_config_version': 'v1.0', 'supernova': {'luminosity_requested': , 'time_explosion': \n", "\n", " \u001b[0m\u001b[37m@pytest\u001b[39;49;00m.mark.skipif(\u001b[90m\u001b[39;49;00m\n", " \u001b[95mnot\u001b[39;49;00m GPUs_available, reason=\u001b[33m\"\u001b[39;49;00m\u001b[33mNo GPU is available to test CUDA function\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n", " )\u001b[90m\u001b[39;49;00m\n", " \u001b[37m@pytest\u001b[39;49;00m.mark.parametrize([\u001b[33m\"\u001b[39;49;00m\u001b[33mno_of_packets\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m, \u001b[33m\"\u001b[39;49;00m\u001b[33miterations\u001b[39;49;00m\u001b[33m\"\u001b[39;49;00m], [(\u001b[94m200000\u001b[39;49;00m, \u001b[94m5\u001b[39;49;00m)])\u001b[90m\u001b[39;49;00m\n", " \u001b[94mdef\u001b[39;49;00m\u001b[90m \u001b[39;49;00m\u001b[92mtest_full_formal_integral\u001b[39;49;00m(\u001b[90m\u001b[39;49;00m\n", " no_of_packets, iterations, config_verysimple, simulation_verysimple\u001b[90m\u001b[39;49;00m\n", " ):\u001b[90m\u001b[39;49;00m\n", " \u001b[90m \u001b[39;49;00m\u001b[33m\"\"\"\u001b[39;49;00m\n", " \u001b[33m This function initializes both the cuda and numba formal_integrator,\u001b[39;49;00m\n", " \u001b[33m and the runs them and compares results to the 15th decimal place.\u001b[39;49;00m\n", " \u001b[33m This is done as both results have 15 digits of precision.\u001b[39;49;00m\n", " \u001b[33m \"\"\"\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n", " sim = simulation_verysimple\u001b[90m\u001b[39;49;00m\n", " \u001b[90m\u001b[39;49;00m\n", " formal_integrator_numba = FormalIntegrator(\u001b[90m\u001b[39;49;00m\n", " sim.simulation_state, sim.plasma, sim.transport\u001b[90m\u001b[39;49;00m\n", " )\u001b[90m\u001b[39;49;00m\n", " \u001b[90m\u001b[39;49;00m\n", " formal_integrator_cuda = FormalIntegrator(\u001b[90m\u001b[39;49;00m\n", " sim.simulation_state, sim.plasma, sim.transport\u001b[90m\u001b[39;49;00m\n", " )\u001b[90m\u001b[39;49;00m\n", " \u001b[90m\u001b[39;49;00m\n", " \u001b[90m# The function calculate_spectrum sets this property, but in order to test the CUDA.\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n", " \u001b[90m# version it is done manually, as well as to speed up the test.\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n", " formal_integrator_numba.interpolate_shells = \u001b[96mmax\u001b[39;49;00m(\u001b[90m\u001b[39;49;00m\n", " \u001b[94m2\u001b[39;49;00m * formal_integrator_numba.simulation_state.no_of_shells, \u001b[94m80\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n", " )\u001b[90m\u001b[39;49;00m\n", " \u001b[90m\u001b[39;49;00m\n", " formal_integrator_cuda.interpolate_shells = \u001b[96mmax\u001b[39;49;00m(\u001b[90m\u001b[39;49;00m\n", " \u001b[94m2\u001b[39;49;00m * formal_integrator_cuda.simulation_state.no_of_shells, \u001b[94m80\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n", " )\u001b[90m\u001b[39;49;00m\n", " \u001b[90m\u001b[39;49;00m\n", "> res_numba = make_source_function(\u001b[90m\u001b[39;49;00m\n", " formal_integrator_numba.simulation_state,\u001b[90m\u001b[39;49;00m\n", " formal_integrator_numba.plasma,\u001b[90m\u001b[39;49;00m\n", " formal_integrator_numba.transport,\u001b[90m\u001b[39;49;00m\n", " formal_integrator_numba.interpolate_shells\u001b[90m\u001b[39;49;00m\n", " )\u001b[90m\u001b[39;49;00m\n", "\n", "\u001b[1m\u001b[31mtardis/spectrum/formal_integral/tests/test_cuda_formal_integral.py\u001b[0m:329: \n", "_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n", "\n", "simulation_state = \n", "opacity_state = \n", "transport = \n", "plasma = 80, interpolate_shells = 0\n", "\n", " \u001b[0m\u001b[94mdef\u001b[39;49;00m\u001b[90m \u001b[39;49;00m\u001b[92mmake_source_function\u001b[39;49;00m(simulation_state, opacity_state, transport, plasma, interpolate_shells=\u001b[94m0\u001b[39;49;00m):\u001b[90m\u001b[39;49;00m\n", " \u001b[90m \u001b[39;49;00m\u001b[33m\"\"\"\u001b[39;49;00m\n", " \u001b[33m Calculates the source function using the line absorption rate estimator `Edotlu_estimator`\u001b[39;49;00m\n", " \u001b[33m\u001b[39;49;00m\n", " \u001b[33m Formally it calculates the expression ( 1 - exp(-tau_ul) ) S_ul but this product is what we need later,\u001b[39;49;00m\n", " \u001b[33m so there is no need to factor out the source function explicitly.\u001b[39;49;00m\n", " \u001b[33m Parameters\u001b[39;49;00m\n", " \u001b[33m ----------\u001b[39;49;00m\n", " \u001b[33m simulation_state : tardis.model.SimulationState\u001b[39;49;00m\n", " \u001b[33m opacity_state : tardis.opacity.OpacityStateNumba\u001b[39;49;00m\n", " \u001b[33m transport : tardis.transport.montecarlo.MonteCarloTransportSolver\u001b[39;49;00m\n", " \u001b[33m plasma : tardis.plasma.BasePlasma\u001b[39;49;00m\n", " \u001b[33m interpolate_shells : int\u001b[39;49;00m\n", " \u001b[33m Number of shells to interpolate to. If set to 0, no interpolation is performed.\u001b[39;49;00m\n", " \u001b[33m\u001b[39;49;00m\n", " \u001b[33m Returns\u001b[39;49;00m\n", " \u001b[33m -------\u001b[39;49;00m\n", " \u001b[33m Numpy array containing ( 1 - exp(-tau_ul) ) S_ul ordered by wavelength of the transition u -> l\u001b[39;49;00m\n", " \u001b[33m \"\"\"\u001b[39;49;00m\u001b[90m\u001b[39;49;00m\n", " \u001b[90m\u001b[39;49;00m\n", " montecarlo_transport_state = transport.transport_state\u001b[90m\u001b[39;49;00m\n", "> atomic_data = plasma.atomic_data\u001b[90m\u001b[39;49;00m\n", " ^^^^^^^^^^^^^^^^^^\u001b[90m\u001b[39;49;00m\n", "\u001b[1m\u001b[31mE AttributeError: 'int' object has no attribute 'atomic_data'\u001b[0m\n", "\n", "\u001b[1m\u001b[31mtardis/spectrum/formal_integral/base.py\u001b[0m:128: AttributeError\n", "\u001b[36m\u001b[1m=========================== short test summary info ============================\u001b[0m\n", "\u001b[31mFAILED\u001b[0m tardis/spectrum/formal_integral/tests/test_cuda_formal_integral.py::\u001b[1mtest_intensity_black_body_cuda[100000000000000.0-10000.0]\u001b[0m - numba.core.errors.TypingError: Failed in cuda mode pipeline (step: nopython...\n", "\u001b[31mFAILED\u001b[0m tardis/spectrum/formal_integral/tests/test_cuda_formal_integral.py::\u001b[1mtest_intensity_black_body_cuda[0-1]\u001b[0m - numba.core.errors.TypingError: Failed in cuda mode pipeline (step: nopython...\n", "\u001b[31mFAILED\u001b[0m tardis/spectrum/formal_integral/tests/test_cuda_formal_integral.py::\u001b[1mtest_intensity_black_body_cuda[1-1]\u001b[0m - numba.core.errors.TypingError: Failed in cuda mode pipeline (step: nopython...\n", "\u001b[31mFAILED\u001b[0m tardis/spectrum/formal_integral/tests/test_cuda_formal_integral.py::\u001b[1mtest_full_formal_integral[200000-5]\u001b[0m - AttributeError: 'int' object has no attribute 'atomic_data'\n", "\u001b[31m= \u001b[31m\u001b[1m4 failed\u001b[0m, \u001b[32m648 passed\u001b[0m, \u001b[33m125 skipped\u001b[0m, \u001b[33m2 deselected\u001b[0m, \u001b[33m22 xfailed\u001b[0m, \u001b[33m8 xpassed\u001b[0m, \u001b[33m344 warnings\u001b[0m, \u001b[33m1041 regression data written\u001b[0m\u001b[31m in 795.53s (0:13:15)\u001b[0m\u001b[31m =\u001b[0m\n", "\n", "\n", "ERROR:tardisbase.testing.regression_comparison.run_tests:Stderr: \n", "Packets: ████████████████████████████████████████████████████████████████████\n", "\n", "Iterations: \n", "\n", "ERROR conda.cli.main_run:execute(127): `conda run python -m pytest tardis --tardis-regression-data=/home/riddhigangbhoj/tardis-work/tardis-regression-data --generate-reference --disable-warnings -m not continuum` failed. (See above for error)\n", "\n", "INFO:tardisbase.testing.regression_comparison.run_tests:\n", "=== Phase 2: Running 'continuum' tests for commit fa4c4ea98055ea3bef24d69feba26fb5f74c2ddf ===\n", "INFO:tardisbase.testing.regression_comparison.run_tests:Running continuum tests: conda run -n tardis-test-fa4c4ea9 python -m pytest tardis --tardis-regression-data=/home/riddhigangbhoj/tardis-work/tardis-regression-data --generate-reference --disable-warnings -m continuum\n", "WARNING:tardisbase.testing.regression_comparison.run_tests:Tests completed with some failures for commit fa4c4ea98055ea3bef24d69feba26fb5f74c2ddf, but regression data was generated\n", "INFO:tardisbase.testing.regression_comparison.run_tests:\n", "Processed Tardis Commits:\n", "INFO:tardisbase.testing.regression_comparison.run_tests:701bb18916886ecf2797b0dda4843750f69592da\n", "INFO:tardisbase.testing.regression_comparison.run_tests:ce43cec0fa5d9255108c90c84659c71d34fb1c26\n", "INFO:tardisbase.testing.regression_comparison.run_tests:fa4c4ea98055ea3bef24d69feba26fb5f74c2ddf\n", "INFO:tardisbase.testing.regression_comparison.run_tests:\n", "Regression Data Commits:\n", "INFO:tardisbase.testing.regression_comparison.run_tests:6483eafe2755ef870ef8c5a2b01d58b306818908\n", "INFO:tardisbase.testing.regression_comparison.run_tests:2cbdeaf2c183d49707ac09428e70a5c761171bed\n", "INFO:tardisbase.testing.regression_comparison.run_tests:77c99381b26b0a1cd453f81fedf92febefa4bc2f\n" ] } ], "source": [ "processed_commits, regression_commits, original_head = run_tests(\n", " **config,\n", " force_recreate=True,\n", " test_path=\"tardis\",\n", " default_curr_env=\"/provide/path/to/default/current/env\",\n", " use_new_envs=True\n", " )" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Case 2: Test specific TARDIS commits\n", "\n", "Important Note:\n", "1. Comment out `n` from config\n", "2. `commits_input` is list of `commits` hashes from config \n", "3. If tardis commits provided are [1,2,3,4] then the comparison would be [\"2-1\",\"3-2\",\"4-3\"] of the respective regression commits. So, make the list accordingly.\n", "4. To forcely recreate new enviornment each time even when enviornment already exist, do `force_recreate` as `True`\n", "5. Either provide entire \"tardis\" module or selective path like \"tardis/spectrum/tests/test_spectrum_solver.py\" in `test_path`\n", "6. Provide path to default current enviornment in `default_curr_env`\n", "7. If you want to use default current enviornment only without creating new enviornment each time, do `use_new_envs` as `False`." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "# processed_commits, regression_commits, original_head = run_tests(\n", "# **config, \n", "# commits_input=config[\"commits\"],\n", "# conda_manager=config[\"conda_manager\"],\n", "# force_recreate=True,\n", "# test_path=\"tardis/spectrum/tests/test_spectrum_solver.py\",\n", "# default_curr_env=\"/home/riddhigangbhoj/miniforge3/envs/tardis-master\",\n", "# use_new_envs=True\n", "# )" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Method 2: Use existing regression data commits\n", "\n", "### A. Manual Commit Selection\n", "Note:\n", "1. No need to run pytest for this.\n", "2. If commits provided are [1,2,3,4] then the comparison would be [\"2-1\",\"3-2\",\"4-3\"]. So, make the list accordingly." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "# regression_commits = [\"66a96a847c873544babb7bf934040c86433a5962\",\n", "# \"d12d869bd2bb2038c9090852ee9ef998959f412d\",\n", "# \"b008a7180440a697ad5b54a9f77b692d4f71b120\",\n", "# \"a2a946a43d710c44bb3b08bcae69359fe13ed032\",\n", "# \"9404dc594563d9457e3ba91fcaa8400cae231801\"]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### B. Automatically fetch the most recent N commits from regression data repository\n", "Note:\n", "1. No need to run pytest for this.\n", "2. Set `n` to the number of recent regression commits you want to fetch." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "# regression_commits = get_last_n_commits(n=2, repo_path=config[\"regression_data_repo_path\"])\n", "# regression_commits" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Visualize File Changes\n", "Create a visualizer object to analyze file changes across commits.\n", "Note:\n", "1. Uncomment and set `file_extensions` to any type of file type to filter specific files.\n", "2. Choose `compare_function` of your choice either \"git_diff\" or \"cmd_diff\"\n", " - 'git_diff': Uses git's built-in diff functionality to compare files\n", " directly within the repository.\n", " - 'cmd_diff': Extracts files to temporary locations and uses the\n", " system's diff command.\n", "\n", "#### Case 1: Direct regression data commits (no TARDIS commits)\n", "Use when you are directly providing regression commits.\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "# visualizer = MultiCommitCompare(\n", "# regression_repo_path=config[\"regression_data_repo_path\"],\n", "# commits=regression_commits,\n", "# # file_extensions=('.h5', '.hdf5') # Uncomment to filter specific files\n", "# compare_function=\"git_diff\"\n", "# )\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Case 2: Regression data commits generated from TARDIS commits\n", "Use when you are providing tardis comits.\n", "Note:\n", "1. These regression commits are false commits(created just for testing)." ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [], "source": [ "visualizer = MultiCommitCompare(\n", " regression_repo_path=config[\"regression_data_repo_path\"],\n", " commits=regression_commits,\n", " tardis_commits=processed_commits,\n", " tardis_repo_path=config[\"tardis_repo_path\"],\n", " # file_extensions=('.h5', '.hdf5') # Uncomment to filter specific files\n", " compare_function=\"git_diff\"\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Analyze the commits" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Analyzing 3 commits (2 transitions)...\n", "Processing transition 1/2: 2cbdea-6483ea\n", "Processing transition 2/2: 77c993-2cbdea\n", "Found 339 total files across all transitions.\n" ] } ], "source": [ "visualizer.analyze_commits()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Display the file change matrix " ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [], "source": [ "commit_info, legend, matrix = visualizer.get_analysis_results()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### This displays the description of commits which are used to analyze differences.\n", "Note:\n", "1. The false commits generated from tardis commits uses description of tardis commits with prefix \"Regression data for --\"\n", "2. Directly provided regression commit uses its description as it is.\n", "3. Description contains first 60 characters of the actual message.\n", "4. Commit hashes printed are shortened to 6 characters." ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
Commit #Regression Hash (first 6 chars)Description (first 60 chars)Date
016483eaRegression data for --Relativity BugFix [2] (#3176)2025-08-06 06:18
122cbdeaRegression data for --add from workflow method to sdec and liv plot (#3198)2025-08-06 06:42
2377c993Regression data for --Post-release 2025.07.20 (#3201)2025-08-06 07:05
\n", "
" ], "text/plain": [ " Commit # Regression Hash (first 6 chars) \\\n", "0 1 6483ea \n", "1 2 2cbdea \n", "2 3 77c993 \n", "\n", " Description (first 60 chars) \\\n", "0 Regression data for --Relativity BugFix [2] (#3176) \n", "1 Regression data for --add from workflow method to sdec and liv plot (#3198) \n", "2 Regression data for --Post-release 2025.07.20 (#3201) \n", "\n", " Date \n", "0 2025-08-06 06:18 \n", "1 2025-08-06 06:42 \n", "2 2025-08-06 07:05 " ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" } ], "source": [ "commit_info" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Display legend" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "A Added\n", "D Deleted\n", "M Modified\n", "• Unchanged\n", "− Not-Present\n", "Name: Legend, dtype: object" ] }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" } ], "source": [ "legend" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### The matrix below shows file changes across commit transitions. \n", "Each row represents a file, and each column represents a commit transition (e.g., \"2cbdea-6483ea\" means changes from commit 2cbdea to 6483ea).\n", "\n", "Note:\n", "This transition prints only first 6 characters of each commits (e.g., \"0d62366668e7c74d01fc56e8120ae228564eb256\" is shortened to \"0d6236\").\n" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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Files2cbdea-6483ea77c993-2cbdea
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1.github/actions/setup_env/action.yml••
2.github/workflows/run-notebook.yml••
3.github/workflows/trigger-lfs-cache.yml••
4.gitignore••
5LICENSE••
6__init__.py••
7arepo_data/arepo_snapshot.hdf5••
8arepo_data/arepo_snapshot.json••
9atom_data/chianti_He.h5••
10atom_data/kurucz_atom_chianti_many.h5••
11atom_data/kurucz_cd23_chianti_H_He.h5••
12atom_data/kurucz_cd23_chianti_H_He_latest.h5••
13atom_data/kurucz_cd23_chianti_Si.h5••
14atom_data/new_kurucz_cd23_chianti_H_He.h5••
15atom_data/nlte_atom_data/TestNLTE_He_Ti.h5••
16atom_data/stardis_atom_data/tardis_adata_vald_longlist.hdf••
17atom_data/stardis_atom_data/tardis_adata_vald_shortlist.hdf••
18compare.py••
19compare_regression_data.ipynb••
20tardis/energy_input/tests/test_gamma_ray_packet_source_minimal/test_gamma_ray_packet_properties__direction__.npy••
21tardis/energy_input/tests/test_gamma_ray_packet_source_minimal/test_gamma_ray_packet_properties__energy_cmf__.npy••
22tardis/energy_input/tests/test_gamma_ray_packet_source_minimal/test_gamma_ray_packet_properties__energy_rf__.npy••
23tardis/energy_input/tests/test_gamma_ray_packet_source_minimal/test_gamma_ray_packet_properties__location__.npy••
24tardis/energy_input/tests/test_gamma_ray_packet_source_minimal/test_gamma_ray_packet_properties__nu_cmf__.npy••
25tardis/energy_input/tests/test_gamma_ray_packet_source_minimal/test_gamma_ray_packet_properties__nu_rf__.npy••
26tardis/energy_input/tests/test_gamma_ray_packet_source_minimal/test_gamma_ray_packet_properties__shell__.npy••
27tardis/energy_input/tests/test_gamma_ray_packet_source_minimal/test_gamma_ray_packet_properties__status__.npy••
28tardis/energy_input/tests/test_gamma_ray_packet_source_minimal/test_gamma_ray_packet_properties__time_index__.npy••
29tardis/energy_input/tests/test_gamma_ray_packet_source_minimal/test_gamma_ray_packet_properties__time_start__.npy••
30tardis/opacities/tests/test_opacity_solver/test_new_macro_atom_solver__downbranch-False__.h5MM
31tardis/opacities/tests/test_opacity_solver/test_new_macro_atom_solver__downbranch-True__.h5MM
32tardis/opacities/tests/test_opacity_solver/test_new_macro_atom_solver__macroatom-False__.h5MM
33tardis/opacities/tests/test_opacity_solver/test_new_macro_atom_solver__macroatom-True__.h5MM
34tardis/opacities/tests/test_tau_sobolev/test_calculate_beta_sobolevs.npy••
35tardis/opacities/tests/test_tau_sobolev/test_calculate_sobolev_line_opacity.h5MM
36tardis/plasma/equilibrium/tests/test_level_populations/test_level_population_solver/test_solve__collisional_rate_solver0-radiative_transitions0__.h5MM
37tardis/plasma/equilibrium/tests/test_rate_matrix/test_rate_matrix_solver__collisional_rate_solver0-radiative_transitions0__.h5MM
38tardis/plasma/tests/test_complete_plasmas/test_plasma/TestPlasma.h5••
39tardis/plasma/tests/test_complete_plasmas/test_plasma/plasma_unittest_disable_electron_scattering_False.h5MM
40tardis/plasma/tests/test_complete_plasmas/test_plasma/plasma_unittest_disable_electron_scattering_True.h5MM
41tardis/plasma/tests/test_complete_plasmas/test_plasma/plasma_unittest_excitation_dilute-lte.h5MM
42tardis/plasma/tests/test_complete_plasmas/test_plasma/plasma_unittest_excitation_lte.h5MM
43tardis/plasma/tests/test_complete_plasmas/test_plasma/plasma_unittest_helium_treatment_recomb-nlte.h5MM
44tardis/plasma/tests/test_complete_plasmas/test_plasma/plasma_unittest_helium_treatment_recomb-nlte_delta_treatment_0.5.h5MM
45tardis/plasma/tests/test_complete_plasmas/test_plasma/plasma_unittest_initial_t_inner_10000 K.h5MM
46tardis/plasma/tests/test_complete_plasmas/test_plasma/plasma_unittest_initial_t_rad_10000 K.h5MM
47tardis/plasma/tests/test_complete_plasmas/test_plasma/plasma_unittest_ionization_lte.h5MM
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"277 test_composition/test_calculate_mass_fraction_at_time__time_explosion1__.h5 \n", "278 test_composition/test_elemental_mass_fraction.h5 \n", "279 test_composition/test_elemental_number_density.h5 \n", "280 test_composition/test_elemental_number_density.npy \n", "281 testdata/MESA_STIR_MESA_SNEC/input/profile8.data.iso.dat \n", "282 testdata/MESA_STIR_MESA_SNEC/output/C_init_frac.dat \n", "283 testdata/MESA_STIR_MESA_SNEC/output/E_shell.xg \n", "284 testdata/MESA_STIR_MESA_SNEC/output/H_1.xg \n", "285 testdata/MESA_STIR_MESA_SNEC/output/H_2.xg \n", "286 testdata/MESA_STIR_MESA_SNEC/output/H_init_frac.dat \n", "287 testdata/MESA_STIR_MESA_SNEC/output/He_1.xg \n", "288 testdata/MESA_STIR_MESA_SNEC/output/He_2.xg \n", "289 testdata/MESA_STIR_MESA_SNEC/output/He_3.xg \n", "290 testdata/MESA_STIR_MESA_SNEC/output/He_init_frac.dat \n", "291 testdata/MESA_STIR_MESA_SNEC/output/Ni_deposit_function.xg \n", "292 testdata/MESA_STIR_MESA_SNEC/output/Ni_init_frac.dat \n", "293 testdata/MESA_STIR_MESA_SNEC/output/Ni_total_luminosity.dat \n", "294 testdata/MESA_STIR_MESA_SNEC/output/O_init_frac.dat \n", "295 testdata/MESA_STIR_MESA_SNEC/output/Q.xg \n", "296 testdata/MESA_STIR_MESA_SNEC/output/T_eff.dat \n", "297 testdata/MESA_STIR_MESA_SNEC/output/conservation.dat \n", "298 testdata/MESA_STIR_MESA_SNEC/output/cs2.xg \n", "299 testdata/MESA_STIR_MESA_SNEC/output/delta_mass_initial.dat \n", "300 testdata/MESA_STIR_MESA_SNEC/output/delta_time.xg \n", "301 testdata/MESA_STIR_MESA_SNEC/output/density_profile.dat \n", "302 testdata/MESA_STIR_MESA_SNEC/output/eps.xg \n", "303 testdata/MESA_STIR_MESA_SNEC/output/free_electron_frac.xg \n", "304 testdata/MESA_STIR_MESA_SNEC/output/index_lumshell.dat \n", "305 testdata/MESA_STIR_MESA_SNEC/output/index_photo.dat \n", "306 testdata/MESA_STIR_MESA_SNEC/output/info.dat \n", "307 testdata/MESA_STIR_MESA_SNEC/output/kappa.xg \n", "308 testdata/MESA_STIR_MESA_SNEC/output/kappa_table.xg \n", "309 testdata/MESA_STIR_MESA_SNEC/output/logR_op.xg \n", "310 testdata/MESA_STIR_MESA_SNEC/output/logT.xg \n", "311 testdata/MESA_STIR_MESA_SNEC/output/lum.xg \n", "312 testdata/MESA_STIR_MESA_SNEC/output/lum_observed.dat \n", "313 testdata/MESA_STIR_MESA_SNEC/output/lum_photo.dat \n", "314 testdata/MESA_STIR_MESA_SNEC/output/magnitudes.dat \n", "315 testdata/MESA_STIR_MESA_SNEC/output/mass.xg \n", "316 testdata/MESA_STIR_MESA_SNEC/output/mass_initial.dat \n", "317 testdata/MESA_STIR_MESA_SNEC/output/mass_lumshell.dat \n", "318 testdata/MESA_STIR_MESA_SNEC/output/mass_photo.dat \n", "319 testdata/MESA_STIR_MESA_SNEC/output/metallicity_init.dat \n", "320 testdata/MESA_STIR_MESA_SNEC/output/opacity_corrupted.dat \n", "321 testdata/MESA_STIR_MESA_SNEC/output/opacity_floor.dat \n", "322 testdata/MESA_STIR_MESA_SNEC/output/p_rad.xg \n", "323 testdata/MESA_STIR_MESA_SNEC/output/photosphere_tracer.xg \n", "324 testdata/MESA_STIR_MESA_SNEC/output/press.xg \n", "325 testdata/MESA_STIR_MESA_SNEC/output/press_initial.dat \n", "326 testdata/MESA_STIR_MESA_SNEC/output/rad_initial.dat \n", "327 testdata/MESA_STIR_MESA_SNEC/output/rad_photo.dat \n", "328 testdata/MESA_STIR_MESA_SNEC/output/radius.xg \n", "329 testdata/MESA_STIR_MESA_SNEC/output/rho.xg \n", "330 testdata/MESA_STIR_MESA_SNEC/output/rho_initial.dat \n", "331 testdata/MESA_STIR_MESA_SNEC/output/tau.xg \n", "332 testdata/MESA_STIR_MESA_SNEC/output/temp.xg \n", "333 testdata/MESA_STIR_MESA_SNEC/output/time_diff.xg \n", "334 testdata/MESA_STIR_MESA_SNEC/output/time_exp.xg \n", "335 testdata/MESA_STIR_MESA_SNEC/output/vel.xg \n", "336 testdata/MESA_STIR_MESA_SNEC/output/vel_photo.dat \n", "337 testdata/MESA_STIR_MESA_SNEC/output/velshock_index.dat \n", "338 testdata/MESA_STIR_MESA_SNEC/output/ye.xg \n", "\n", " 2cbdea-6483ea 77c993-2cbdea \n", "0 • • \n", "1 • • \n", "2 • • \n", "3 • • \n", "4 • • \n", "5 • • \n", "6 • • \n", "7 • • \n", "8 • • \n", "9 • • \n", "10 • • \n", "11 • • \n", "12 • • 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"233 M M \n", "234 M M \n", "235 M M \n", "236 M M \n", "237 M M \n", "238 M M \n", "239 M M \n", "240 M M \n", "241 M M \n", "242 M M \n", "243 M M \n", "244 • • \n", "245 • • \n", "246 • • \n", "247 • • \n", "248 • • \n", "249 • • \n", "250 • • \n", "251 • • \n", "252 • • \n", "253 • • \n", "254 • • \n", "255 • • \n", "256 • • \n", "257 • • \n", "258 • • \n", "259 • • \n", "260 • • \n", "261 • • \n", "262 • • \n", "263 • • \n", "264 • • \n", "265 • • \n", "266 • • \n", "267 • • \n", "268 • • \n", "269 • • \n", "270 • • \n", "271 • • \n", "272 • • \n", "273 • • \n", "274 • • \n", "275 • • \n", "276 • • \n", "277 • • \n", "278 • • \n", "279 • • \n", "280 • • \n", "281 • • \n", "282 • • \n", "283 • • \n", "284 • • \n", "285 • • \n", "286 • • \n", "287 • • \n", "288 • • \n", "289 • • \n", "290 • • \n", "291 • • \n", "292 • • \n", "293 • • \n", "294 • • \n", "295 • • \n", "296 • • \n", "297 • • \n", "298 • • \n", "299 • • \n", "300 • • \n", "301 • • \n", "302 • • \n", "303 • • \n", "304 • 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"conda-env-miniforge3-tardis-master-py" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.13.3" } }, "nbformat": 4, "nbformat_minor": 4 }