From 9f61b1aedea9b0846adb4e134859e880fedb8341 Mon Sep 17 00:00:00 2001
From: Michael Zikeli <michael.zikeli@fau.de>
Date: Mon, 10 Feb 2025 09:10:36 +0100
Subject: [PATCH] [no main fork] stop tracking the files that are outsourced to
git walberla-config repository.
---
.vscode/tasks.json | 71 -----
CMakeUserPresets.json | 142 ---------
.../investigateBenchmarkingTimerOutput.ipynb | 277 ------------------
.../investigateBenchmarkingTimerOutput.py | 82 ------
requirements.txt | 50 ----
5 files changed, 622 deletions(-)
delete mode 100644 .vscode/tasks.json
delete mode 100644 CMakeUserPresets.json
delete mode 100644 post_processing/investigateBenchmarkingTimerOutput.ipynb
delete mode 100644 post_processing/investigateBenchmarkingTimerOutput.py
delete mode 100644 requirements.txt
diff --git a/.vscode/tasks.json b/.vscode/tasks.json
deleted file mode 100644
index 54098e63f..000000000
--- a/.vscode/tasks.json
+++ /dev/null
@@ -1,71 +0,0 @@
-{
- "version": "2.0.0",
- "tasks": [
- {
- "type": "cmake",
- "label": "CMake: build debug UniformGridCPU_d3q19_aa_srt",
- "command": "build",
- "targets": [
- "UniformGridCPU_d3q19_aa_srt"
- ],
- "preset": "build-debug-UniformGridCPU_d3q19_aa_srt",
- "group": "build",
- "problemMatcher": [],
- "detail": "Build the UniformGridCPU_d3q19_aa_srt target in debug mode"
- },
- {
- "label": "Run debug UniformGridCPU_d3q19_aa_srt",
- "type": "shell",
- "command": "mpirun",
- "args": [
- "-np",
- "1",
- "./UniformGridCPU_d3q19_aa_srt",
- "simulation_setup/benchmark_configs_RDM.py"
- ],
- "options": {
- "cwd": "${workspaceFolder}/build/benchmark-cpu-debug/apps/benchmarks/UniformGridCPU",
- "env": {
- "BENCHMARK": "17"
- }
- },
- "dependsOn": "CMake: build UniformGridCPU_d3q19_aa_srt",
- "group": "test",
- "problemMatcher": [],
- "detail": "Run the UniformGridCPU_d3q19_aa_srt target in debug mode"
- },
- {
- "type": "cmake",
- "label": "CMake: build debug UniformGridGPU_d3q19_aa_srt",
- "command": "build",
- "targets": [
- "UniformGridGPU_d3q19_aa_srt"
- ],
- "preset": "build-debug-UniformGridGPU_d3q19_aa_srt",
- "group": "build",
- "problemMatcher": [],
- "detail": "Build the UniformGridGPU_d3q19_aa_srt target in debug mode"
- },
- {
- "label": "Run debug UniformGridGPU_d3q19_aa_srt",
- "type": "shell",
- "command": "mpirun",
- "args": [
- "-np",
- "1",
- "./UniformGridGPU_d3q19_aa_srt",
- "simulation_setup/benchmark_configs_RDM.py"
- ],
- "options": {
- "cwd": "${workspaceFolder}/build/benchmark-cuda-debug/apps/benchmarks/UniformGridGPU",
- "env": {
- "BENCHMARK": "17"
- }
- },
- "dependsOn": "CMake: build debug UniformGridGPU_d3q19_aa_srt",
- "group": "test",
- "problemMatcher": [],
- "detail": "Run the UniformGridGPU_d3q19_aa_srt target in debug mode"
- }
- ]
-}
\ No newline at end of file
diff --git a/CMakeUserPresets.json b/CMakeUserPresets.json
deleted file mode 100644
index 96593b615..000000000
--- a/CMakeUserPresets.json
+++ /dev/null
@@ -1,142 +0,0 @@
-{
- "version": 6,
- "cmakeMinimumRequired": {
- "major": 3,
- "minor": 23,
- "patch": 0
- },
- "configurePresets": [
- {
- "name": "benchmark-cuda",
- "hidden": false,
- "generator": "Unix Makefiles",
- "binaryDir": "${sourceDir}/build/benchmark-cuda",
- "cacheVariables": {
- "CMAKE_BUILD_TYPE": "DebugOptimized",
- "Python_ROOT_DIR": "${sourceDir}/.venv",
- "WALBERLA_BUILD_WITH_PYTHON": true,
- "WALBERLA_BUILD_WITH_CODEGEN": true,
- "WALBERLA_BUILD_WITH_CUDA": true,
- "CMAKE_CUDA_ARCHITECTURES": "75",
- "WALBERLA_OPTIMIZE_FOR_LOCALHOST": false,
- "WALBERLA_BUILD_BENCHMARKS": true,
- "WALBERLA_BUILD_TOOLS": true,
- "WALBERLA_BUILD_SHOWCASES": false,
- "WALBERLA_BUILD_TESTS": false,
- "WALBERLA_BUILD_TUTORIALS": false,
- "WALBERLA_BUILD_DOC": false
- },
- "environment": {
- "CC": "gcc",
- "CXX": "g++"
- }
- },
- {
- "name": "benchmark-cuda-debug",
- "hidden": false,
- "generator": "Ninja",
- "binaryDir": "${sourceDir}/build/benchmark-cuda-debug",
- "cacheVariables": {
- "CMAKE_BUILD_TYPE": "Debug",
- "Python_ROOT_DIR": "${sourceDir}/.venv",
- "WALBERLA_BUILD_WITH_PYTHON": true,
- "WALBERLA_BUILD_WITH_CODEGEN": true,
- "WALBERLA_BUILD_WITH_CUDA": true,
- "CMAKE_CUDA_ARCHITECTURES": "75",
- "WALBERLA_OPTIMIZE_FOR_LOCALHOST": false,
- "WALBERLA_BUILD_BENCHMARKS": true,
- "WALBERLA_BUILD_TOOLS": true,
- "WALBERLA_BUILD_SHOWCASES": false,
- "WALBERLA_BUILD_TESTS": false,
- "WALBERLA_BUILD_TUTORIALS": false,
- "WALBERLA_BUILD_DOC": false
- },
- "environment": {
- "CC": "clang",
- "CXX": "clang++"
- }
- },
- {
- "name": "benchmark-cpu",
- "hidden": false,
- "generator": "Unix Makefiles",
- "binaryDir": "${sourceDir}/build/benchmark-cpu",
- "cacheVariables": {
- "CMAKE_BUILD_TYPE": "DebugOptimized",
- "Python_ROOT_DIR": "${sourceDir}/.venv",
- "WALBERLA_BUILD_WITH_PYTHON": true,
- "WALBERLA_BUILD_WITH_CODEGEN": true,
- "WALBERLA_BUILD_WITH_CUDA": false,
- "WALBERLA_OPTIMIZE_FOR_LOCALHOST": false,
- "WALBERLA_BUILD_BENCHMARKS": true,
- "WALBERLA_BUILD_TOOLS": true,
- "WALBERLA_BUILD_SHOWCASES": false,
- "WALBERLA_BUILD_TESTS": false,
- "WALBERLA_BUILD_TUTORIALS": false,
- "WALBERLA_BUILD_DOC": false
- },
- "environment": {
- "CC": "gcc",
- "CXX": "g++"
- }
- },
- {
- "name": "benchmark-cpu-debug",
- "hidden": false,
- "generator": "Ninja",
- "binaryDir": "${sourceDir}/build/benchmark-cpu-debug",
- "cacheVariables": {
- "CMAKE_BUILD_TYPE": "Debug",
- "Python_ROOT_DIR": "${sourceDir}/.venv",
- "WALBERLA_BUILD_WITH_PYTHON": true,
- "WALBERLA_BUILD_WITH_CODEGEN": true,
- "WALBERLA_BUILD_WITH_CUDA": false,
- "WALBERLA_OPTIMIZE_FOR_LOCALHOST": false,
- "WALBERLA_BUILD_BENCHMARKS": true,
- "WALBERLA_BUILD_TOOLS": true,
- "WALBERLA_BUILD_SHOWCASES": false,
- "WALBERLA_BUILD_TESTS": false,
- "WALBERLA_BUILD_TUTORIALS": false,
- "WALBERLA_BUILD_DOC": false
- },
- "environment": {
- "CC": "clang",
- "CXX": "clang++"
- }
- },
- {
- "name": "doxygen",
- "generator": "Unix Makefiles",
- "binaryDir": "${sourceDir}/build/doxygen",
- "cacheVariables": {
- "WALBERLA_BUILD_WITH_MPI": true,
- "WALBERLA_BUILD_WITH_OPENMP": true,
- "CMAKE_BUILD_TYPE": "Debug",
- "WALBERLA_BUILD_DOC": true,
- "WALBERLA_BUILD_TOOLS": true,
- "WALBERLA_BUILD_BENCHMARKS": false,
- "WALBERLA_BUILD_SHOWCASES": false,
- "WALBERLA_BUILD_TESTS": false,
- "WALBERLA_BUILD_TUTORIALS": false
- }
- }
- ],
- "buildPresets": [
- {
- "name": "build-debug-UniformGridCPU_d3q19_aa_srt",
- "hidden": false,
- "configurePreset": "benchmark-cpu-debug",
- "targets": [
- "UniformGridCPU_d3q19_aa_srt"
- ]
- },
- {
- "name": "build-debug-UniformGridGPU_d3q19_aa_srt",
- "hidden": false,
- "configurePreset": "benchmark-cuda-debug",
- "targets": [
- "UniformGridGPU_d3q19_aa_srt"
- ]
- }
- ]
-}
diff --git a/post_processing/investigateBenchmarkingTimerOutput.ipynb b/post_processing/investigateBenchmarkingTimerOutput.ipynb
deleted file mode 100644
index 90e587ff1..000000000
--- a/post_processing/investigateBenchmarkingTimerOutput.ipynb
+++ /dev/null
@@ -1,277 +0,0 @@
-{
- "cells": [
- {
- "cell_type": "code",
- "execution_count": 1,
- "id": "3a718024",
- "metadata": {},
- "outputs": [],
- "source": [
- "import sqlite3\n",
- "import pandas as pd\n",
- "import os\n",
- "import matplotlib.pyplot as plt\n",
- "import warnings"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 2,
- "id": "4c4cbb74",
- "metadata": {},
- "outputs": [],
- "source": [
- "# Define colors\n",
- "color1 = \"#1F3B66\"\n",
- "color2 = \"#C14C30\"\n",
- "color3 = \"#4AA7A9\"\n",
- "color4 = \"#EBAE65\"\n",
- "color5 = \"#EBAE65\"\n",
- "color6 = \"#36b700\"\n",
- "color7 = \"#9d2c00\"\n",
- "color8 = \"#c8c8c8\""
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 3,
- "id": "22b800b2",
- "metadata": {},
- "outputs": [],
- "source": [
- "# Database configuration\n",
- "GPUs_per_node = 4 # MareNostrum5 ACC has four GPUs per node\n",
- "databasename = \"/local/ab04unyc/mywalberla/build/benchmark-debug/apps/benchmarks/UniformGridCPU/cpu_benchmark.sqlite3\"\n",
- "\n",
- "# Connect to the database\n",
- "conn = sqlite3.connect(databasename)\n",
- "cursor = conn.cursor()\n",
- "cursor.execute(\"SELECT name FROM sqlite_master WHERE type='table';\")\n",
- "all_tables = cursor.fetchall()\n",
- "\n",
- "# Extract table names\n",
- "all_table_names = [str(t[0]) for t in all_tables]"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 4,
- "id": "67b37628-be47-419c-a053-ea0159d8f813",
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/plain": [
- "['runs']"
- ]
- },
- "execution_count": 4,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "# Debug output\n",
- "all_table_names"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 14,
- "id": "db839b84-0fa6-44f4-9d4a-046dd65b80d7",
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/plain": [
- "Index(['id', 'timestamp', 'omega', 'warmupSteps', 'outerIterations',\n",
- " 'timeStepStrategy', 'timesteps', 'initShearFlow', 'vtkWriteFrequency',\n",
- " 'remainingTimeLoggerFrequency', 'cartesianSetup', 'numProcesses',\n",
- " 'numThreads', 'numCores', 'numberOfCells', 'numberOfFluidCells',\n",
- " 'mlups', 'mlupsPerCore', 'mlupsPerProcess', 'stencil',\n",
- " 'streamingPattern', 'collisionSetup', 'vectorised', 'nontemporal',\n",
- " 'cse_global', 'cse_pdfs', 'Timer_BoundaryConditions_Total',\n",
- " 'Timer_BoundaryConditions_Average', 'Timer_BoundaryConditions_Count',\n",
- " 'Timer_BoundaryConditions_Min', 'Timer_BoundaryConditions_Max',\n",
- " 'Timer_BoundaryConditions_Variance', 'Timer_LBMStreamCollide_Total',\n",
- " 'Timer_LBMStreamCollide_Average', 'Timer_LBMStreamCollide_Count',\n",
- " 'Timer_LBMStreamCollide_Min', 'Timer_LBMStreamCollide_Max',\n",
- " 'Timer_LBMStreamCollide_Variance', 'Timer_VTKOutput_Total',\n",
- " 'Timer_VTKOutput_Average', 'Timer_VTKOutput_Count',\n",
- " 'Timer_VTKOutput_Min', 'Timer_VTKOutput_Max',\n",
- " 'Timer_VTKOutput_Variance', 'Timer_communication_Total',\n",
- " 'Timer_communication_Average', 'Timer_communication_Count',\n",
- " 'Timer_communication_Min', 'Timer_communication_Max',\n",
- " 'Timer_communication_Variance', 'Timer_remainingtimelogger_Total',\n",
- " 'Timer_remainingtimelogger_Average', 'Timer_remainingtimelogger_Count',\n",
- " 'Timer_remainingtimelogger_Min', 'Timer_remainingtimelogger_Max',\n",
- " 'Timer_remainingtimelogger_Variance', 'executable', 'compile_flags',\n",
- " 'walberla_version', 'build_machine', 'innerOuterSplit_0',\n",
- " 'innerOuterSplit_1', 'innerOuterSplit_2', 'blocks_0', 'blocks_1',\n",
- " 'blocks_2', 'cellsPerBlock_0', 'cellsPerBlock_1', 'cellsPerBlock_2',\n",
- " 'periodic_0', 'periodic_1', 'periodic_2'],\n",
- " dtype='object')"
- ]
- },
- "execution_count": 14,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "# Load data from all tables\n",
- "for table_name in all_table_names:\n",
- " df = pd.read_sql(f\"SELECT * FROM {table_name}\", conn)\n",
- " if 'full_df' in globals():\n",
- " full_df = pd.concat([full_df, df], ignore_index=True)\n",
- " else:\n",
- " full_df = df.copy()\n",
- "\n",
- "# Debug output\n",
- "df.columns"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 6,
- "id": "466adb87",
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
- "<div>\n",
- "<style scoped>\n",
- " .dataframe tbody tr th:only-of-type {\n",
- " vertical-align: middle;\n",
- " }\n",
- "\n",
- " .dataframe tbody tr th {\n",
- " vertical-align: top;\n",
- " }\n",
- "\n",
- " .dataframe thead th {\n",
- " text-align: right;\n",
- " }\n",
- "</style>\n",
- "<table border=\"1\" class=\"dataframe\">\n",
- " <thead>\n",
- " <tr style=\"text-align: right;\">\n",
- " <th></th>\n",
- " <th>Min</th>\n",
- " <th>Average</th>\n",
- " <th>Total</th>\n",
- " <th>Count</th>\n",
- " <th>Variance</th>\n",
- " <th>Max</th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <th>VTKOutput</th>\n",
- " <td>0.0</td>\n",
- " <td>0.010657</td>\n",
- " <td>2.142152</td>\n",
- " <td>201</td>\n",
- " <td>0.004458</td>\n",
- " <td>0.458243</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>remainingtimelogger</th>\n",
- " <td>0.000001</td>\n",
- " <td>0.000001</td>\n",
- " <td>0.00027</td>\n",
- " <td>201</td>\n",
- " <td>0.0</td>\n",
- " <td>0.000015</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>communication</th>\n",
- " <td>0.000006</td>\n",
- " <td>0.000008</td>\n",
- " <td>0.001645</td>\n",
- " <td>201</td>\n",
- " <td>0.0</td>\n",
- " <td>0.000031</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>LBMStreamCollide</th>\n",
- " <td>0.027194</td>\n",
- " <td>0.030216</td>\n",
- " <td>6.073384</td>\n",
- " <td>201</td>\n",
- " <td>0.000005</td>\n",
- " <td>0.044656</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>BoundaryConditions</th>\n",
- " <td>0.001965</td>\n",
- " <td>0.002244</td>\n",
- " <td>0.451072</td>\n",
- " <td>201</td>\n",
- " <td>0.0</td>\n",
- " <td>0.003642</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- " Min Average Total Count Variance Max\n",
- "VTKOutput 0.0 0.010657 2.142152 201 0.004458 0.458243\n",
- "remainingtimelogger 0.000001 0.000001 0.00027 201 0.0 0.000015\n",
- "communication 0.000006 0.000008 0.001645 201 0.0 0.000031\n",
- "LBMStreamCollide 0.027194 0.030216 6.073384 201 0.000005 0.044656\n",
- "BoundaryConditions 0.001965 0.002244 0.451072 201 0.0 0.003642"
- ]
- },
- "execution_count": 6,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "# Extract unique timer names and properties\n",
- "timer_columns = df.filter(like='Timer')\n",
- "timer_names = list(set(col.split('_')[1] for col in timer_columns.columns))\n",
- "properties = list(set(col.split('_')[2] for col in timer_columns.columns))\n",
- "\n",
- "# Create a new dataframe with properties as rows and timer names as columns\n",
- "grouped_timers = pd.DataFrame(columns=properties, index=timer_names)\n",
- "\n",
- "# Fill the new dataframe with the corresponding values\n",
- "for timer in timer_names:\n",
- " for prop in properties:\n",
- " timer_name = f'Timer_{timer}_{prop}'\n",
- " try:\n",
- " grouped_timers.at[timer, prop] = timer_columns[timer_name].iloc[0]\n",
- " except KeyError:\n",
- " warnings.warn(f\"{timer_name} not found in timer_columns\")\n",
- "\n",
- "# Display the grouped timers\n",
- "grouped_timers"
- ]
- }
- ],
- "metadata": {
- "kernelspec": {
- "display_name": ".venv",
- "language": "python",
- "name": "python3"
- },
- "language_info": {
- "codemirror_mode": {
- "name": "ipython",
- "version": 3
- },
- "file_extension": ".py",
- "mimetype": "text/x-python",
- "name": "python",
- "nbconvert_exporter": "python",
- "pygments_lexer": "ipython3",
- "version": "3.11.6"
- }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}
diff --git a/post_processing/investigateBenchmarkingTimerOutput.py b/post_processing/investigateBenchmarkingTimerOutput.py
deleted file mode 100644
index ae562f886..000000000
--- a/post_processing/investigateBenchmarkingTimerOutput.py
+++ /dev/null
@@ -1,82 +0,0 @@
-# %%
-import sqlite3
-import pandas as pd
-import warnings
-import argparse
-
-def main(databasename: str, verbose: bool) -> None:
- """
- Main function to process the benchmarking timer output from the SQLite database.
-
- Args:
- databasename (str): Path to the SQLite database file.
- verbose (bool): Flag to enable verbose output.
- """
- # Database configuration
- GPUs_per_node = 4 # MareNostrum5 ACC has four GPUs per node
-
- # Connect to the database
- conn = sqlite3.connect(databasename)
- cursor = conn.cursor()
- cursor.execute("SELECT name FROM sqlite_master WHERE type='table';")
- all_tables = cursor.fetchall()
- if verbose:
- print(f"Number of tables in {all_tables}: {len(all_tables)}")
-
- # Extract table names
- all_table_names = [str(t[0]) for t in all_tables]
-
- # Debug output
- print("Avalable table names in the database:", all_table_names)
-
- # Load data from all tables
- for table_name in all_table_names:
- df = pd.read_sql(f"SELECT * FROM {table_name}", conn)
- if 'full_df' in globals():
- full_df = pd.concat([full_df, df], ignore_index=True)
- else:
- full_df = df.copy()
-
- # Debug output
- print(f"Number of columns in the database: {len(full_df.columns)}")
- if verbose:
- print("Available columns in the database:", sorted(full_df.columns))
-
- # Extract unique timer names and properties
- timer_columns = full_df.filter(like='Timer')
- timer_names = sorted(list(set(col.split('_')[1] for col in timer_columns.columns)))
- properties = sorted(list(set(col.split('_')[2] for col in timer_columns.columns)))
-
- if verbose:
- print("List of timer names:", timer_names)
- print("List of properties:", properties)
-
- print(f"{len(full_df)} available measurements in the database:")
- for _, row in full_df.iterrows():
- print(f'\nResults from {row["Identifier"]} at {row["timestamp"]} with {row["timeStepStrategy"]} on {row["blocks_0"]*row["blocks_1"]*row["blocks_2"]} nodes and a domain size of {row["cellsPerBlock_0"]}x{row["cellsPerBlock_1"]}x{row["cellsPerBlock_2"]}')
-
- # Create a new dataframe with properties as rows and timer names as columns
- grouped_timers = pd.DataFrame(columns=properties, index=timer_names)
-
- # Fill the new dataframe with the corresponding values
- for timer in timer_names:
- for prop in properties:
- timer_name = f'Timer_{timer}_{prop}'
- try:
- grouped_timers.at[timer, prop] = row[timer_name]
- except KeyError:
- warnings.warn(f"{timer_name} not found in timer_columns")
-
- # Display the grouped timers
- if verbose:
- print(f"in: {databasename.split('/')[-1]}")
- print(grouped_timers)
-
-if __name__ == "__main__":
- parser = argparse.ArgumentParser(description="Process benchmarking timer output from an SQLite database.")
- parser.add_argument("databasename", type=str, help="Path to the SQLite database file")
- parser.add_argument("-v", "--verbose", action="store_true", help="Enable verbose output")
-
- args = parser.parse_args()
-
- main(args.databasename, args.verbose)
\ No newline at end of file
diff --git a/requirements.txt b/requirements.txt
deleted file mode 100644
index 1a9493d7d..000000000
--- a/requirements.txt
+++ /dev/null
@@ -1,50 +0,0 @@
-appdirs==1.4.4
-appnope==0.1.4
-asttokens==3.0.0
-comm==0.2.2
-contourpy==1.3.1
-cycler==0.12.1
-debugpy==1.8.12
-decorator==5.1.1
-executing==2.2.0
-fonttools==4.55.8
-ipykernel==6.29.5
-ipython==8.32.0
-jedi==0.19.2
-Jinja2==3.1.5
-joblib==1.4.2
-jupyter_client==8.6.3
-jupyter_core==5.7.2
-kiwisolver==1.4.8
-lbmpy==1.3.7
-MarkupSafe==3.0.2
-matplotlib==3.10.0
-matplotlib-inline==0.1.7
-mpmath==1.3.0
-nest-asyncio==1.6.0
-numpy==2.2.2
-packaging==24.2
-pandas==2.2.3
-parso==0.8.4
-pexpect==4.9.0
-pillow==11.1.0
-platformdirs==4.3.6
-prompt_toolkit==3.0.50
-psutil==6.1.1
-ptyprocess==0.7.0
-pure_eval==0.2.3
-Pygments==2.19.1
-pyparsing==3.2.1
-pystencils==1.3.7
-python-dateutil==2.9.0.post0
-pytz==2025.1
-PyYAML==6.0.2
-pyzmq==26.2.1
-six==1.17.0
-stack-data==0.6.3
-sympy==1.12.1
-tornado==6.4.2
-traitlets==5.14.3
-typing_extensions==4.12.2
-tzdata==2025.1
-wcwidth==0.2.13
--
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