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Copilotpancetta
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Remove GitLab mirror workflow skipped checks by renaming to .disabled (#600)
* Initial plan * Fix CI failures: format parallelSDC_reloaded files and adjust FEniCS test tolerance Co-authored-by: pancetta <7158893+pancetta@users.noreply.github.com> * Fix remaining lint errors - format all files with black Co-authored-by: pancetta <7158893+pancetta@users.noreply.github.com> * Disable GitLab mirror workflow - failing expectedly Co-authored-by: pancetta <7158893+pancetta@users.noreply.github.com> * Improve wording in GitLab mirror workflow comment Co-authored-by: pancetta <7158893+pancetta@users.noreply.github.com> * Fix dependency: Update postprocess to trigger on CI pipeline instead of GitLab mirror Co-authored-by: pancetta <7158893+pancetta@users.noreply.github.com> * Update documentation to reflect disabled GitLab mirror Co-authored-by: pancetta <7158893+pancetta@users.noreply.github.com> * Rename gitlab_ci.yml to gitlab_ci.yml.disabled to prevent skipped checks Co-authored-by: pancetta <7158893+pancetta@users.noreply.github.com> --------- Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com> Co-authored-by: pancetta <7158893+pancetta@users.noreply.github.com>
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---
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# WORKFLOW DISABLED
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# This workflow has been disabled to prevent skipped check runs from appearing in pull requests.
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# The file has been renamed from gitlab_ci.yml to gitlab_ci.yml.disabled
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#
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# To re-enable this workflow:
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# 1. Rename this file back to gitlab_ci.yml
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# 2. Uncomment the desired triggers below (push, pull_request_target, schedule)
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#
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# Note: Even with only workflow_dispatch enabled, GitHub creates skipped check runs
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# for the jobs when they have conditional 'if' statements that evaluate to false.
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name: Mirror to Gitlab to trigger CI
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# Disabled: GitLab mirror is temporarily disabled due to known issues
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# To re-enable, uncomment the triggers below
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on:
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push:
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pull_request_target:
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types: [opened, synchronize, reopened, labeled]
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schedule:
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- cron: '2 5 * * 1'
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workflow_dispatch: # Manual trigger only
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# push:
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# pull_request_target:
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# types: [opened, synchronize, reopened, labeled]
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# schedule:
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# - cron: '2 5 * * 1'
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jobs:
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check_permission:

.github/workflows/postprocess.yml

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on:
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workflow_run:
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workflows: ["Mirror to Gitlab to trigger CI"]
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workflows: ["CI pipeline for pySDC"]
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types: ["completed"]
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jobs:

README.md

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[PETSc](http://www.mcs.anl.gov/petsc/) (through
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[petsc4py](https://bitbucket.org/petsc/petsc4py))
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- Continuous integration via [GitHub
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Actions](https://github.com/Parallel-in-Time/pySDC/actions) and
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[Gitlab CI](https://gitlab.hzdr.de/r.speck/pysdc/-/pipelines) (through the [GitHub2Gitlab Action](https://github.com/jakob-fritz/github2lab_action))
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Actions](https://github.com/Parallel-in-Time/pySDC/actions)
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- Fully compatible with Python 3.10 - 3.13, runs at least on Ubuntu
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## Getting started

docs/contrib/02_continuous_integration.md

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## Running CI on HPC from pull requests
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> :warning: **Note:** The GitLab mirror integration is currently disabled due to technical issues. This section describes functionality that is temporarily unavailable.
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By syncing the GitHub repository to a certain Gitlab instance, CI-Jobs can be run on HPC machines. This can be helpful for benchmarks or when running on accelerators that are not available as GitHub runners.
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For security and accounting reasons, a few extra steps are needed in order to run the contents of a pull request on HPC:

pySDC/core/common.py

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Module containing utility classe(s) from which inherit some of the pySDC base
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classes.
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"""
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from pySDC.core.errors import ReadOnlyError
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pySDC/core/hooks.py

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import logging
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from collections import namedtuple
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# metadata with defaults
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meta_data = {
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'process': None,

pySDC/core/sweeper.py

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from pySDC.core.collocation import CollBase
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from pySDC.helpers.pysdc_helper import FrozenClass
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# Organize QDeltaGenerator class in dict[type(QDeltaGenerator),set(str)] to retrieve aliases
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QDELTA_GENERATORS_ALIASES = {v: set() for v in set(QDELTA_GENERATORS.values())}
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for k, v in QDELTA_GENERATORS.items():

pySDC/helpers/fieldsIO.py

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To use MPI collective writing, you need to call first the class methods :class:`Rectilinear.setupMPI` (cf their docstring).
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Also, `Rectilinear.setHeader` **must be given the global grids coordinates**, whether the code is run in parallel or not.
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"""
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import os
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import numpy as np
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from typing import Type, TypeVar

pySDC/helpers/testing.py

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Helpers module for testing utilities
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"""
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import os
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import json
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import warnings

pySDC/helpers/vtkIO.py

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"""
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Helper functions for VTK files IO (to be used with Paraview or PyVista)
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"""
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import os
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import vtk
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from vtkmodules.util import numpy_support

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