def test_default_configuration(self) -> None:
"""Test obtaining default configuration."""
unit = VersionConstraintSieve()
assert unit.configuration == {
"package_name": None,
"version_specifier": None
}
def test_super_pre_run(self, context: Context) -> None:
"""Make sure the pre-run method of the base is called."""
unit = VersionConstraintSieve()
unit.update_configuration({
"package_name": "tensorflow",
"version_specifier": "==2.3",
})
assert unit.unit_run is False
unit.unit_run = True
with unit.assigned_context(context):
unit.pre_run()
assert (
unit.unit_run is False
), "Unit flag unit_run not reset, is super().pre_run() called in sources when providing pre_run method!?"
def test_run_no_filter(self) -> None:
""""Test not filtering a package based on version specifier."""
package_version = PackageVersion(
name="tensorboard",
version="==2.1.0",
index=Source("https://pypi.org/simple"),
develop=False,
)
unit = VersionConstraintSieve()
unit.update_configuration({
"package_name": "tensorboard",
"version_specifier": ">2.0",
})
unit.pre_run()
assert list(unit.run([package_version])) == [package_version]
def test_configuration_error(self) -> None:
"""Test removing a locked package based on direct dependencies."""
# Default values should error, no adjustment to values.
with pytest.raises(SieveError):
VersionConstraintSieve().pre_run()
unit = VersionConstraintSieve()
unit.update_configuration({
"package_name": None,
"version_specifier": None
})
with pytest.raises(SieveError):
unit.pre_run()
unit = VersionConstraintSieve()
unit.update_configuration({
"package_name": "tensorflow",
"version_specifier": None,
})
with pytest.raises(SieveError):
unit.pre_run()
unit = VersionConstraintSieve()
unit.update_configuration({
"package_name": None,
"version_specifier": ">2.0",
})
with pytest.raises(SieveError):
unit.pre_run()