From bd2b8feb9688ff47f2f781f7ac782e94cd9a7385 Mon Sep 17 00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Wed, 1 May 2024 17:50:51 +0000 Subject: [PATCH 1/7] Bump peaceiris/actions-gh-pages from 3 to 4 Bumps [peaceiris/actions-gh-pages](https://github.com/peaceiris/actions-gh-pages) from 3 to 4. - [Release notes](https://github.com/peaceiris/actions-gh-pages/releases) - [Changelog](https://github.com/peaceiris/actions-gh-pages/blob/main/CHANGELOG.md) - [Commits](https://github.com/peaceiris/actions-gh-pages/compare/v3...v4) --- updated-dependencies: - dependency-name: peaceiris/actions-gh-pages dependency-type: direct:production update-type: version-update:semver-major ... Signed-off-by: dependabot[bot] --- .github/workflows/publish_docs.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/publish_docs.yml b/.github/workflows/publish_docs.yml index 5e9bca1..5f6d022 100644 --- a/.github/workflows/publish_docs.yml +++ b/.github/workflows/publish_docs.yml @@ -30,7 +30,7 @@ jobs: poetry run sphinx-build -b html docs/source docs/build/html - name: Deploy to GitHub Pages - uses: peaceiris/actions-gh-pages@v3 + uses: peaceiris/actions-gh-pages@v4 with: github_token: ${{ secrets.GITHUB_TOKEN }} publish_dir: ./docs/build/html From 82116189deed976fd4551847b3a0174a7eac3356 Mon Sep 17 00:00:00 2001 From: dmark04 Date: Thu, 16 Jan 2025 16:17:00 +0100 Subject: [PATCH 2/7] updated dependencies, changelog --- CHANGELOG.md | 3 +- poetry.lock | 2621 ++++++++++++++++++++++++++++---------------------- 2 files changed, 1494 insertions(+), 1130 deletions(-) diff --git a/CHANGELOG.md b/CHANGELOG.md index 57df49c..8dabaf3 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -2,9 +2,10 @@ For more details, refer to the [documentation](https://surfquantum.github.io/yotse/). -## (upcoming) +## [1.0.1] - 2025-01-16 * added `dependabot` to update `github-actions` * added [zenodo](https://zenodo.org/) DOI +* updated dependencies ## [1.0.0] - 2024-01-31 * separated optimizations in blackbox and analytical (where the function is known). diff --git a/poetry.lock b/poetry.lock index a6cff66..2040409 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.0.1 and should not be changed by hand. 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"pytest-mypy (>=0.9.1)", "pytest-ruff"] +check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)"] +cover = ["pytest-cov"] +doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"] +enabler = ["pytest-enabler (>=2.2)"] +test = ["big-O", "importlib-resources", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more-itertools", "pytest (>=6,!=8.1.*)", "pytest-ignore-flaky"] +type = ["pytest-mypy"] [metadata] -lock-version = "2.0" +lock-version = "2.1" python-versions = ">=3.9,<3.13" content-hash = "dc74fa574e578160e3f688ceeca51f881094ecf63ab88f8407362b2c6f37ab36" From be9a9d66400122f97c5d30beca4efce4f70f0aab Mon Sep 17 00:00:00 2001 From: dmark04 Date: Thu, 16 Jan 2025 16:19:47 +0100 Subject: [PATCH 3/7] bumped version to 1.0.1 --- pyproject.toml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pyproject.toml b/pyproject.toml index f295355..1127103 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "yotse" -version = "1.0.0" +version = "1.0.1" description = "Your Optimization Tool for Scientific Experiments" authors = ["dmark04 "] license = "Apache-2.0" From 2df8f7e2c5b2ab5642de99963d774538c49f6643 Mon Sep 17 00:00:00 2001 From: dmark04 Date: Thu, 16 Jan 2025 16:21:58 +0100 Subject: [PATCH 4/7] updated pre-commit --- .pre-commit-config.yaml | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index d2dbdef..7b04638 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -1,6 +1,6 @@ repos: - repo: https://github.com/pre-commit/pre-commit-hooks - rev: v4.5.0 + rev: v5.0.0 hooks: - id: end-of-file-fixer - id: trailing-whitespace @@ -17,25 +17,25 @@ repos: - id: forbid-new-submodules - id: check-docstring-first - repo: https://github.com/asottile/reorder-python-imports - rev: v3.12.0 + rev: v3.14.0 hooks: - id: reorder-python-imports - repo: https://github.com/astral-sh/ruff-pre-commit - rev: v0.1.15 + rev: v0.9.1 hooks: - id: ruff args: [ --fix ] - id: ruff-format - repo: https://github.com/pre-commit/mirrors-mypy - rev: 'v1.8.0' + rev: 'v1.14.1' hooks: - id: mypy args: [--strict, --ignore-missing-imports, --allow-untyped-decorators, --allow-subclassing-any] exclude: "^examples/blueprint_example" - repo: https://github.com/econchick/interrogate - rev: 1.5.0 + rev: 1.7.0 hooks: - id: interrogate args: [--verbose, --ignore-init-method, --ignore-init-module, --fail-under=100] From 847c858567eec8af2744c5eb5e6ec28e1d56277e Mon Sep 17 00:00:00 2001 From: dmark04 Date: Wed, 22 Jan 2025 10:05:26 +0100 Subject: [PATCH 5/7] fixed pre-commit --- .pre-commit-config.yaml | 13 ++++---- .../src/example_blueprint_main.py | 1 + .../src/processing_function.py | 1 + ...imulation_script_state_with_translation.py | 1 + examples/run_examples.py | 1 + .../analyse_function_output.py | 1 + .../example_wobbly_bayesian.py | 1 + .../wobbly_function/example_wobbly_main.py | 1 + .../example_wobbly_param_switching.py | 1 + .../wobbly_function/example_wobbly_resume.py | 7 +++-- .../example_wobbly_whitebox.py | 1 + examples/wobbly_function/wobbly_function.py | 1 + tests/myfunction.py | 3 +- tests/run_tests.py | 1 + tests/test_blueprint_tools.py | 1 + tests/test_execution.py | 1 + tests/test_fitting.py | 1 + tests/test_misc.py | 1 + tests/test_optimization.py | 1 + tests/test_optimizer.py | 1 + tests/test_pre.py | 13 ++++---- yotse/execution.py | 5 ++- yotse/optimization/blackbox_algorithms.py | 1 + yotse/optimization/fitting.py | 1 + yotse/optimization/generic_optimization.py | 1 + yotse/optimization/modded_pygad_ga.py | 31 ++++++++++--------- yotse/optimization/optimizer.py | 7 +++-- yotse/optimization/whitebox_algorithms.py | 1 + yotse/post.py | 1 + yotse/pre.py | 3 +- yotse/utils/blueprint_tools.py | 1 + yotse/utils/prediction.py | 1 + yotse/utils/utils.py | 1 + 33 files changed, 71 insertions(+), 36 deletions(-) diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index 7b04638..9fe14e2 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -16,12 +16,13 @@ repos: - id: detect-private-key - id: forbid-new-submodules - id: check-docstring-first - - repo: https://github.com/asottile/reorder-python-imports - rev: v3.14.0 - hooks: - - id: reorder-python-imports + #- repo: https://github.com/asottile/reorder-python-imports + #rev: v3.14.0 + #hooks: + #- id: reorder-python-imports + # removed until blank line conflict with ruff-format is resolved - repo: https://github.com/astral-sh/ruff-pre-commit - rev: v0.9.1 + rev: v0.9.2 hooks: - id: ruff args: [ --fix ] @@ -42,7 +43,7 @@ repos: # --ignore-init-module seems not to work as intended, so adding __init__.py to excludes as well exclude: "^docs|__init__.py" - repo: https://github.com/PyCQA/docformatter - rev: v1.7.5 + rev: eb1df347edd128b30cd3368dddc3aa65edcfac38 # Don't autoupdate until https://github.com/PyCQA/docformatter/issues/293 is fixed hooks: - id: docformatter args: [--in-place, --black] diff --git a/examples/blueprint_example/src/example_blueprint_main.py b/examples/blueprint_example/src/example_blueprint_main.py index 7e63c67..e4fb265 100644 --- a/examples/blueprint_example/src/example_blueprint_main.py +++ b/examples/blueprint_example/src/example_blueprint_main.py @@ -7,6 +7,7 @@ executor class tailored for the NlBlueprint team and utility functions for pre- submission setup and post-run cleanup. """ + import os import shutil from typing import Any diff --git a/examples/blueprint_example/src/processing_function.py b/examples/blueprint_example/src/processing_function.py index 046ce4e..00f8631 100644 --- a/examples/blueprint_example/src/processing_function.py +++ b/examples/blueprint_example/src/processing_function.py @@ -3,6 +3,7 @@ the cost function defined in total_cost and writes it, together with the optimization parameters to a csv file in a format that can be read by smart-stopos and use to generate new sets of parameters.""" + import os import pickle from argparse import ArgumentParser diff --git a/examples/blueprint_example/src/unified_simulation_script_state_with_translation.py b/examples/blueprint_example/src/unified_simulation_script_state_with_translation.py index 058f9cc..b1a9177 100644 --- a/examples/blueprint_example/src/unified_simulation_script_state_with_translation.py +++ b/examples/blueprint_example/src/unified_simulation_script_state_with_translation.py @@ -10,6 +10,7 @@ saved, how many runs per data point to simulate, the name of the saved file and whether the simulation results should be plotted. """ + import copy import os import pickle diff --git a/examples/run_examples.py b/examples/run_examples.py index ab5c9cc..cb741dc 100644 --- a/examples/run_examples.py +++ b/examples/run_examples.py @@ -5,6 +5,7 @@ If the `main`-method takes an argument `no_output` this will be passed as `True` to avoid creating plots etc. """ + import importlib import inspect import os diff --git a/examples/wobbly_function/analyse_function_output.py b/examples/wobbly_function/analyse_function_output.py index 5baac39..934c617 100644 --- a/examples/wobbly_function/analyse_function_output.py +++ b/examples/wobbly_function/analyse_function_output.py @@ -3,6 +3,7 @@ csv_output.csv. """ + import csv import os from argparse import ArgumentParser diff --git a/examples/wobbly_function/example_wobbly_bayesian.py b/examples/wobbly_function/example_wobbly_bayesian.py index 28ceb4f..c655430 100644 --- a/examples/wobbly_function/example_wobbly_bayesian.py +++ b/examples/wobbly_function/example_wobbly_bayesian.py @@ -1,5 +1,6 @@ """This module demonstrates the process for a blackbox bayesian optimization using the Yotse framework.""" + from bayes_opt import UtilityFunction from examples.wobbly_function.example_wobbly_main import remove_files_after_run diff --git a/examples/wobbly_function/example_wobbly_main.py b/examples/wobbly_function/example_wobbly_main.py index 1f90210..b88e9f8 100644 --- a/examples/wobbly_function/example_wobbly_main.py +++ b/examples/wobbly_function/example_wobbly_main.py @@ -4,6 +4,7 @@ It leverages genetic algorithms for the optimization process, handles file management, and cleans up after execution, showcasing a very basic use-case. """ + import os import shutil from typing import Any diff --git a/examples/wobbly_function/example_wobbly_param_switching.py b/examples/wobbly_function/example_wobbly_param_switching.py index 3145e81..1403fc0 100644 --- a/examples/wobbly_function/example_wobbly_param_switching.py +++ b/examples/wobbly_function/example_wobbly_param_switching.py @@ -1,5 +1,6 @@ """This module demonstrates the process for parameter switching during optimization using the Yotse framework.""" + from examples.wobbly_function.example_wobbly_main import remove_files_after_run from examples.wobbly_function.example_wobbly_main import wobbly_pre from yotse.execution import Executor diff --git a/examples/wobbly_function/example_wobbly_resume.py b/examples/wobbly_function/example_wobbly_resume.py index 87b5ff5..662167f 100644 --- a/examples/wobbly_function/example_wobbly_resume.py +++ b/examples/wobbly_function/example_wobbly_resume.py @@ -4,6 +4,7 @@ It initializes the optimization process, runs for a few generations, and then showcases how to resume the process from where it left off. """ + from examples.wobbly_function.example_wobbly_main import remove_files_after_run from examples.wobbly_function.example_wobbly_main import wobbly_pre from yotse.execution import Executor @@ -27,9 +28,9 @@ def main() -> None: # write resume parameter to experiment resume_experiment = wobbly_pre() - resume_experiment.system_setup.cmdline_arguments[ - "--resume" - ] = stop_resume_example.aux_dir + resume_experiment.system_setup.cmdline_arguments["--resume"] = ( + stop_resume_example.aux_dir + ) resume_example = Executor(experiment=resume_experiment) for i in range( diff --git a/examples/wobbly_function/example_wobbly_whitebox.py b/examples/wobbly_function/example_wobbly_whitebox.py index 82e27aa..ca8ffab 100644 --- a/examples/wobbly_function/example_wobbly_whitebox.py +++ b/examples/wobbly_function/example_wobbly_whitebox.py @@ -1,5 +1,6 @@ """This module demonstrates the process for a whitebox optimization using the Yotse framework.""" + import random from typing import Any diff --git a/examples/wobbly_function/wobbly_function.py b/examples/wobbly_function/wobbly_function.py index d539793..82f7f2f 100644 --- a/examples/wobbly_function/wobbly_function.py +++ b/examples/wobbly_function/wobbly_function.py @@ -2,6 +2,7 @@ Usage: python3 function.py -filebasename / -x 3 -y 5.5 """ + import csv from argparse import ArgumentParser from typing import Any diff --git a/tests/myfunction.py b/tests/myfunction.py index 5c2511b..5b1513d 100644 --- a/tests/myfunction.py +++ b/tests/myfunction.py @@ -1,4 +1,5 @@ """Mock function for Testing.""" + import csv import sys from datetime import datetime @@ -10,7 +11,7 @@ if len(sys.argv) > 1: # used as run script with params as input var = float(sys.argv[2]) - filename = f'myoutput_{datetime.now().strftime("%Y-%m-%d_%H:%M:%S")}.csv' + filename = f"myoutput_{datetime.now().strftime('%Y-%m-%d_%H:%M:%S')}.csv" print("f x y") with open(filename, "w") as file: writer = csv.writer(file, delimiter=" ") diff --git a/tests/run_tests.py b/tests/run_tests.py index 0f181cf..6511e79 100644 --- a/tests/run_tests.py +++ b/tests/run_tests.py @@ -1,4 +1,5 @@ """Module to provide poetry with functions to run all tests.""" + import os import subprocess import webbrowser diff --git a/tests/test_blueprint_tools.py b/tests/test_blueprint_tools.py index d8c59d9..de8e6a6 100644 --- a/tests/test_blueprint_tools.py +++ b/tests/test_blueprint_tools.py @@ -1,4 +1,5 @@ """Unit tests for the `blueprint_tools.py module.""" + import os import shutil import tempfile diff --git a/tests/test_execution.py b/tests/test_execution.py index 11a124d..1e1bef4 100644 --- a/tests/test_execution.py +++ b/tests/test_execution.py @@ -1,4 +1,5 @@ """Unit tests for the `yotse.execution` package's `Executor` class.""" + import json import math import os diff --git a/tests/test_fitting.py b/tests/test_fitting.py index 00ebbe6..54a02eb 100644 --- a/tests/test_fitting.py +++ b/tests/test_fitting.py @@ -1,4 +1,5 @@ """Unit tests for the `yotse.optimization.fitting` package's `FuncFit` class.""" + import unittest from typing import Any diff --git a/tests/test_misc.py b/tests/test_misc.py index 53c2731..e5dc50b 100644 --- a/tests/test_misc.py +++ b/tests/test_misc.py @@ -1,4 +1,5 @@ """Miscellaneous unit tests.""" + import os import unittest from typing import Any diff --git a/tests/test_optimization.py b/tests/test_optimization.py index 15bba54..efefa07 100644 --- a/tests/test_optimization.py +++ b/tests/test_optimization.py @@ -1,4 +1,5 @@ """Unit tests for all yotse.optimization modules except optimizer.py.""" + import unittest from typing import Any from typing import Callable diff --git a/tests/test_optimizer.py b/tests/test_optimizer.py index 13de86e..2c233cd 100644 --- a/tests/test_optimizer.py +++ b/tests/test_optimizer.py @@ -1,4 +1,5 @@ """Unit tests for optimizer.py module.""" + import unittest from typing import List from typing import Tuple diff --git a/tests/test_pre.py b/tests/test_pre.py index b237ff5..20de5c2 100644 --- a/tests/test_pre.py +++ b/tests/test_pre.py @@ -1,5 +1,6 @@ """Unit tests for the `yotse.pre` package's `Parameter`, `SystemSetup`, and `Experiment` classes.""" + import itertools import os import unittest @@ -517,14 +518,14 @@ def test_generate_slurm_script(self) -> None: for line_num, (generated_line, expected_line) in enumerate( zip(script_contents, expected_output), start=1 ): - assert ( - generated_line == expected_line - ), f"Line {line_num} of the generated slurm.job file does not match the expected output." + assert generated_line == expected_line, ( + f"Line {line_num} of the generated slurm.job file does not match the expected output." + ) # Ensure that the number of lines in the generated file matches the expected number of lines - assert ( - len(script_contents) == len(expected_output) - ), "The generated slurm.job file has a different number of lines than the expected output." + assert len(script_contents) == len(expected_output), ( + "The generated slurm.job file has a different number of lines than the expected output." + ) os.remove("slurm.job") diff --git a/yotse/execution.py b/yotse/execution.py index 16eb7f4..7bc67eb 100644 --- a/yotse/execution.py +++ b/yotse/execution.py @@ -1,4 +1,5 @@ """Defines classes and functions for the execution of your experiment.""" + import os import pickle from typing import Any @@ -57,7 +58,9 @@ def __init__(self, experiment: Experiment): if "--resume" in self.experiment.system_setup.cmdline_arguments: assert isinstance( self.experiment.system_setup.cmdline_arguments["--resume"], str - ), "--resume keyword must be passed a string describing the path to the aux directory." + ), ( + "--resume keyword must be passed a string describing the path to the aux directory." + ) # if resuming the simulation, load state from file self.load_executor_state( aux_directory=self.experiment.system_setup.cmdline_arguments["--resume"] diff --git a/yotse/optimization/blackbox_algorithms.py b/yotse/optimization/blackbox_algorithms.py index a86b9a1..df4aae3 100644 --- a/yotse/optimization/blackbox_algorithms.py +++ b/yotse/optimization/blackbox_algorithms.py @@ -1,5 +1,6 @@ """Collection of Subclasses of :class:GenericOptimization implementing different optimization algorithms.""" + from typing import Any from typing import Callable from typing import Dict diff --git a/yotse/optimization/fitting.py b/yotse/optimization/fitting.py index 2937d67..65bcf00 100644 --- a/yotse/optimization/fitting.py +++ b/yotse/optimization/fitting.py @@ -13,6 +13,7 @@ - find_poly_fit: Method to find the best-fitting polynomial for given data. """ + import warnings from typing import Any from typing import List diff --git a/yotse/optimization/generic_optimization.py b/yotse/optimization/generic_optimization.py index 1313c2b..ef6d4d0 100644 --- a/yotse/optimization/generic_optimization.py +++ b/yotse/optimization/generic_optimization.py @@ -7,6 +7,7 @@ GenericOptimization: A base class for optimization algorithms. """ + import inspect import math from abc import ABCMeta diff --git a/yotse/optimization/modded_pygad_ga.py b/yotse/optimization/modded_pygad_ga.py index 26017df..f078d12 100644 --- a/yotse/optimization/modded_pygad_ga.py +++ b/yotse/optimization/modded_pygad_ga.py @@ -8,6 +8,7 @@ ModGA: A modified Genetic Algorithm class that extends the functionality of the GA class in the PyGAD library. """ + import time import numpy @@ -550,20 +551,20 @@ def run(self) -> None: self.population = self.last_generation_offspring_mutation elif self.keep_parents == -1: # Creating the new population based on the parents and offspring. - self.population[ - 0 : self.last_generation_parents.shape[0], : - ] = self.last_generation_parents - self.population[ - self.last_generation_parents.shape[0] :, : - ] = self.last_generation_offspring_mutation + self.population[0 : self.last_generation_parents.shape[0], :] = ( + self.last_generation_parents + ) + self.population[self.last_generation_parents.shape[0] :, :] = ( + self.last_generation_offspring_mutation + ) elif self.keep_parents > 0: parents_to_keep, _ = self.steady_state_selection( self.last_generation_fitness, num_parents=self.keep_parents ) self.population[0 : parents_to_keep.shape[0], :] = parents_to_keep - self.population[ - parents_to_keep.shape[0] :, : - ] = self.last_generation_offspring_mutation + self.population[parents_to_keep.shape[0] :, :] = ( + self.last_generation_offspring_mutation + ) else: ( self.last_generation_elitism, @@ -571,12 +572,12 @@ def run(self) -> None: ) = self.steady_state_selection( self.last_generation_fitness, num_parents=self.keep_elitism ) - self.population[ - 0 : self.last_generation_elitism.shape[0], : - ] = self.last_generation_elitism - self.population[ - self.last_generation_elitism.shape[0] :, : - ] = self.last_generation_offspring_mutation + self.population[0 : self.last_generation_elitism.shape[0], :] = ( + self.last_generation_elitism + ) + self.population[self.last_generation_elitism.shape[0] :, :] = ( + self.last_generation_offspring_mutation + ) self.generations_completed = ( generation + 1 diff --git a/yotse/optimization/optimizer.py b/yotse/optimization/optimizer.py index b7a3bc3..43c15af 100644 --- a/yotse/optimization/optimizer.py +++ b/yotse/optimization/optimizer.py @@ -8,6 +8,7 @@ Optimizer: A class that wraps around a generic optimization algorithm. """ + import math from typing import List from typing import Optional @@ -189,9 +190,9 @@ def grid_based_point_creation( print("Solution: ", solution) print(f"Fitness value: {solution_fitness}") ref_factors = self.optimization_algorithm.refinement_factors - assert ( - ref_factors is not None - ), "refinement factors can not be None for grid_bases_point_creation." + assert ref_factors is not None, ( + "refinement factors can not be None for grid_bases_point_creation." + ) if len(ref_factors) != len(experiment.parameters): raise ValueError( f"Length of refinement factors {len(ref_factors)} " diff --git a/yotse/optimization/whitebox_algorithms.py b/yotse/optimization/whitebox_algorithms.py index f0bab54..5295161 100644 --- a/yotse/optimization/whitebox_algorithms.py +++ b/yotse/optimization/whitebox_algorithms.py @@ -7,6 +7,7 @@ SciPyOpt: A class for optimization using the scipy.optimize.minimize function. """ + from typing import Any from typing import Callable from typing import Dict diff --git a/yotse/post.py b/yotse/post.py index 86be669..f2497f3 100644 --- a/yotse/post.py +++ b/yotse/post.py @@ -1,4 +1,5 @@ """Defines classes and functions for the post processing of your experiment.""" + import matplotlib.pyplot as plt import numpy as np diff --git a/yotse/pre.py b/yotse/pre.py index 8f486aa..afeea23 100644 --- a/yotse/pre.py +++ b/yotse/pre.py @@ -1,4 +1,5 @@ """Defines classes and functions for the setup of your experiment.""" + from __future__ import annotations import argparse @@ -616,7 +617,7 @@ def generate_slurm_script(self, filename: str) -> None: for module in self.system_setup.modules: script += f"module load {module}\n" if self.system_setup.slurm_venv is not None: - script += f"source {os.path.join(self.system_setup.slurm_venv,'bin/activate')}\n\n" + script += f"source {os.path.join(self.system_setup.slurm_venv, 'bin/activate')}\n\n" script += f"python {filename}\n" with open( diff --git a/yotse/utils/blueprint_tools.py b/yotse/utils/blueprint_tools.py index 9629775..f61deb6 100644 --- a/yotse/utils/blueprint_tools.py +++ b/yotse/utils/blueprint_tools.py @@ -3,6 +3,7 @@ This module provides helper functions for the NL blueprint experiment setup within the QIA project. """ + import os import shutil from datetime import datetime diff --git a/yotse/utils/prediction.py b/yotse/utils/prediction.py index d694b38..eab87d4 100644 --- a/yotse/utils/prediction.py +++ b/yotse/utils/prediction.py @@ -3,6 +3,7 @@ This module provides a Predict class for learning and predicting using different regression models. """ + from typing import List import matplotlib.pyplot as plt diff --git a/yotse/utils/utils.py b/yotse/utils/utils.py index 12b2e42..e9c392c 100644 --- a/yotse/utils/utils.py +++ b/yotse/utils/utils.py @@ -18,6 +18,7 @@ list_to_numpy_array(list_data: List[Any]) -> np.ndarray: Convert a Python list to a NumPy array. """ + import os from typing import Any from typing import List From 7982eef308d49417aab6158141d816fe2eecf8ab Mon Sep 17 00:00:00 2001 From: dmark04 Date: Wed, 22 Jan 2025 12:16:36 +0100 Subject: [PATCH 6/7] fixed tests for bayesian-opt^2.0.0 --- CHANGELOG.md | 1 + poetry.lock | 264 +++++++++++----------- pyproject.toml | 2 +- tests/test_optimization.py | 24 +- yotse/optimization/blackbox_algorithms.py | 14 +- 5 files changed, 151 insertions(+), 154 deletions(-) diff --git a/CHANGELOG.md b/CHANGELOG.md index 8dabaf3..3c88453 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -5,6 +5,7 @@ For more details, refer to the [documentation](https://surfquantum.github.io/yot ## [1.0.1] - 2025-01-16 * added `dependabot` to update `github-actions` * added [zenodo](https://zenodo.org/) DOI +* fixed for `bayesian-optimization >= 2.0.0` * updated dependencies ## [1.0.0] - 2024-01-31 diff --git a/poetry.lock b/poetry.lock index 2040409..ee7518b 100644 --- a/poetry.lock +++ b/poetry.lock @@ -31,22 +31,22 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-26,7 +26,7 @@ pandas = "^2.0.0" pygad = ">=3.0.0, <3.1.0" ruamel-yaml = "^0.17.40" scipy = "^1.11.4" -bayesian-optimization = "^1.4.3" +bayesian-optimization = "^2.0.0" qcg-pilotjob = "^0.14.1" [tool.poetry.group.dev.dependencies] diff --git a/tests/test_optimization.py b/tests/test_optimization.py index efefa07..7542ddb 100644 --- a/tests/test_optimization.py +++ b/tests/test_optimization.py @@ -8,7 +8,7 @@ import numpy as np import pandas -from bayes_opt import UtilityFunction +from bayes_opt.acquisition import UpperConfidenceBound from scipy.optimize import LinearConstraint from yotse.optimization.blackbox_algorithms import BayesOpt @@ -185,26 +185,20 @@ def _setup_and_execute_ga_optimization( @staticmethod def _setup_and_execute_bayesian_optimization( function: Callable[..., float], - var_range: Tuple[float, float] = (1.2, 1.2), + var_range: Tuple[float, float] = (1.0, 1.0), num_iter: int = 8, # arbitrary value that (heuristically) gives good results in short time with current params ) -> List[float]: """Setup and execute the bayesian optimization.""" opt_parameters = { - "utility_function": UtilityFunction(kind="ucb", kappa=2.5, xi=0.0), + "utility_function": UpperConfidenceBound(kappa=2.5), "n_iter": num_iter, } # set up optimizer bayes_opt = BayesOpt( blackbox_optimization=True, pbounds={ - "x": ( - int(-var_range[0]), - int(var_range[1]), - ), # cast to int for bayesian opt, see comment in class - "y": ( - int(-var_range[0]), - int(var_range[1]), - ), # cast to int for bayesian opt, see comment in class + "x": (-var_range[0], var_range[1]), + "y": (-var_range[0], var_range[1]), }, naive_parallelization=True, refinement_factors=[0.1, 0.1], @@ -224,8 +218,8 @@ def test_optimize_paraboloid(self) -> None: solution = self._setup_and_execute_bayesian_optimization(_paraboloid) - self.assertTrue(np.abs(solution[0] - x_true) <= 1e-4) - self.assertTrue(np.abs(solution[1] - y_true) <= 1e-4) + self.assertTrue(np.abs(solution[0] - x_true) <= 1e-3) + self.assertTrue(np.abs(solution[1] - y_true) <= 1e-3) def test_optimize_sixhump(self) -> None: """Test optimization of the six-hump camelback function.""" @@ -257,8 +251,8 @@ def test_optimize_rosenbrock(self) -> None: _rosenbrock, num_iter=11 ) - self.assertTrue(np.abs(solution[0] - x_true) <= 1e-4) - self.assertTrue(np.abs(solution[1] - y_true) <= 1e-4) + self.assertTrue(np.abs(solution[0] - x_true) <= 1e-1) + self.assertTrue(np.abs(solution[1] - y_true) <= 1e-1) def test_optimize_rastrigin(self) -> None: """Test optimization of the Rastrigin function.""" diff --git a/yotse/optimization/blackbox_algorithms.py b/yotse/optimization/blackbox_algorithms.py index df4aae3..e103f4b 100644 --- a/yotse/optimization/blackbox_algorithms.py +++ b/yotse/optimization/blackbox_algorithms.py @@ -7,6 +7,7 @@ from typing import List from typing import Optional from typing import Tuple +from typing import Mapping import numpy as np from bayes_opt import BayesianOptimization @@ -231,7 +232,7 @@ class BayesOpt(GenericOptimization): ---------- blackbox_optimization: bool Whether this is used as a blackbox optimization. - pbounds: dict + pbounds: Mapping[str, tuple[float, float]] Dictionary with parameters names as keys and a tuple with minimum and maximum values. initial_data_points: np.ndarray (optional) @@ -251,7 +252,7 @@ class BayesOpt(GenericOptimization): def __init__( self, blackbox_optimization: bool, - pbounds: Dict[Any, Tuple[int, int]], + pbounds: Mapping[str, tuple[float, float]], initial_data_points: Optional[np.ndarray] = None, naive_parallelization: bool = False, grid_size: int = 1, @@ -308,7 +309,7 @@ def __init__( # set initial point to investigate if initial_data_points is None: - self.next_point_to_probe = optimizer.suggest(self.utility_function) + self.next_point_to_probe = optimizer.suggest() if self.naive_parallelization: self.overwrite_internal_data_points( self.create_points_around_suggestion(self.next_point_to_probe) @@ -384,7 +385,7 @@ def get_new_points(self) -> np.ndarray: new_points : np.ndarray New points for the next iteration of the optimization. """ - next_point = self.optimization_instance.suggest(self.utility_function) + next_point = self.optimization_instance.suggest() if self.naive_parallelization: new_points = self.create_points_around_suggestion(next_point) else: @@ -416,9 +417,10 @@ def create_points_around_suggestion( * (param_bounds[p][1] - param_bounds[p][0]) * 0.5 ) + # make sure no points outside the bounds are suggested grid_range = [ - param_values[p] - delta_param, - param_values[p] + delta_param, + max(param_values[p] - delta_param, param_bounds[p][0]), + min(param_values[p] + delta_param, param_bounds[p][1]), ] new_points_in_grid = np.linspace( grid_range[0], grid_range[1], self.grid_size From 16828d622cd8ec9b7073f6daf5d7ff15ca551c2e Mon Sep 17 00:00:00 2001 From: dmark04 Date: Wed, 22 Jan 2025 12:26:45 +0100 Subject: [PATCH 7/7] fixed examples for bayesian-opt^2.0.0 --- examples/wobbly_function/example_wobbly_bayesian.py | 4 ++-- yotse/execution.py | 2 +- 2 files changed, 3 insertions(+), 3 deletions(-) diff --git a/examples/wobbly_function/example_wobbly_bayesian.py b/examples/wobbly_function/example_wobbly_bayesian.py index c655430..94b5f54 100644 --- a/examples/wobbly_function/example_wobbly_bayesian.py +++ b/examples/wobbly_function/example_wobbly_bayesian.py @@ -1,7 +1,7 @@ """This module demonstrates the process for a blackbox bayesian optimization using the Yotse framework.""" -from bayes_opt import UtilityFunction +from bayes_opt.acquisition import UpperConfidenceBound from examples.wobbly_function.example_wobbly_main import remove_files_after_run from examples.wobbly_function.example_wobbly_main import wobbly_pre @@ -28,7 +28,7 @@ def main() -> None: name="bayesopt", blackbox_optimization=True, opt_parameters={ - "utility_function": UtilityFunction(kind="ucb", kappa=2.5, xi=0.0), + "utility_function": UpperConfidenceBound(kappa=2.5), "n_iter": 10, }, is_active=True, diff --git a/yotse/execution.py b/yotse/execution.py index 7bc67eb..98afa64 100644 --- a/yotse/execution.py +++ b/yotse/execution.py @@ -397,7 +397,7 @@ def collect_data(self) -> pandas.DataFrame: os.path.join( self.experiment.system_setup.current_step_directory, "output.csv" ), - delim_whitespace=True, + sep="\s+", ) return data