Bump executorlib from 0.0.10 to 0.1.0 (#292)

* Bump executorlib from 0.0.10 to 0.1.0

Bumps [executorlib](https://github.com/pyiron/executorlib) from 0.0.10 to 0.1.0.
- [Release notes](https://github.com/pyiron/executorlib/releases)
- [Commits](pyiron/executorlib@executorlib-0.0.10...executorlib-0.1.0)

---
updated-dependencies:
- dependency-name: executorlib
  dependency-type: direct:production
  update-type: version-update:semver-minor
...

Signed-off-by: dependabot[bot] <support@github.com>

* [dependabot skip] Update environment

* Update test_executor.py

* [pre-commit.ci] auto fixes from pre-commit.com hooks

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* Update test_executor.py

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

* Update environment-old.yml

---------

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Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
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Author: 4 people

.ci_support/environment-mpich.yml

@@ -6,6 +6,6 @@ dependencies:
 - mpich =4.2.3
 - numpy =1.26.4
 - mpi4py =4.0.1
-- executorlib =0.0.10
+- executorlib =0.1.0
 - ase =3.24.0
 - scipy =1.15.1

.ci_support/environment-old.yml

@@ -5,6 +5,6 @@ dependencies:
 - openmpi
 - numpy =1.23.5
 - mpi4py =3.1.4
-- executorlib =0.0.5
+- executorlib =0.1.0
 - ase =3.23.0
 - scipy =1.9.3

.ci_support/environment-openmpi.yml

@@ -6,6 +6,6 @@ dependencies:
 - openmpi =5.0.5
 - numpy =1.26.4
 - mpi4py =4.0.1
-- executorlib =0.0.10
+- executorlib =0.1.0
 - ase =3.24.0
 - scipy =1.15.1

pyproject.toml

@@ -25,7 +25,7 @@ classifiers = [
 ]
 dependencies = [
     "mpi4py==4.0.1",
-    "executorlib==0.0.10",
+    "executorlib==0.1.0",
     "numpy==1.26.4",
 ]
 dynamic = ["version"]

tests/test_executor.py

@@ -1,6 +1,6 @@
 import unittest
 from ase.build import bulk
-from executorlib import Executor
+from executorlib import SingleNodeExecutor
 from executorlib.standalone.serialize import cloudpickle_register
 from pylammpsmpi import LammpsASELibrary
 
@@ -38,7 +38,7 @@ def calc_lmp(structure):
 
 class TestWithExecutor(unittest.TestCase):
     def test_executor(self):
-        with Executor(max_cores=2, backend="local", hostname_localhost=True) as exe:
+        with SingleNodeExecutor(max_workers=2, hostname_localhost=True) as exe:
             cloudpickle_register(ind=1)
             future = exe.submit(calc_lmp, bulk("Al", cubic=True).repeat([2, 2, 2]))
             energy = future.result()