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Viewing changes to bzrlib/tests/test_versionedfile.py

  • Committer: Canonical.com Patch Queue Manager
  • Date: 2009-03-09 08:45:56 UTC
  • mfrom: (4084.5.2 integration)
  • Revision ID: pqm@pqm.ubuntu.com-20090309084556-9i2m12qlud2qcrtw
(robertc) Bulk update all test adaptation into a single approach
        using multiply_tests rather than many varied test adapters.
        (Robert Collins

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bzrlib/tests/test_versionedfile.py
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    TestCase,
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    TestCaseWithMemoryTransport,
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    TestNotApplicable,
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    TestScenarioApplier,
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    TestSkipped,
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    condition_isinstance,
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    split_suite_by_condition,
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    iter_suite_tests,
 
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    multiply_tests,
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    )
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from bzrlib.tests.http_utils import TestCaseWithWebserver
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from bzrlib.trace import mutter
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    """Parameterize VersionedFiles tests for different implementations."""
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    to_adapt, result = split_suite_by_condition(
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        standard_tests, condition_isinstance(TestVersionedFiles))
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    len_one_adapter = TestScenarioApplier()
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    len_two_adapter = TestScenarioApplier()
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    # We want to be sure of behaviour for:
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    # weaves prefix layout (weave texts)
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    # individually named weaves (weave inventories)
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    # individual graph knits in packs (inventories)
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    # individual graph nocompression knits in packs (revisions)
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    # plain text knits in packs (texts)
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    len_one_adapter.scenarios = [
 
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    len_one_scenarios = [
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        ('weave-named', {
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            'cleanup':None,
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            'factory':make_versioned_files_factory(WeaveFile,
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            'support_partial_insertion': False,
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            }),
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        ]
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    len_two_adapter.scenarios = [
 
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    len_two_scenarios = [
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        ('weave-prefix', {
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            'cleanup':None,
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            'factory':make_versioned_files_factory(WeaveFile,
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            'support_partial_insertion': True,
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            }),
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        ]
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    for test in iter_suite_tests(to_adapt):
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        result.addTests(len_one_adapter.adapt(test))
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        result.addTests(len_two_adapter.adapt(test))
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    return result
 
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    scenarios = len_one_scenarios + len_two_scenarios
 
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    return multiply_tests(to_adapt, scenarios, result)
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def get_diamond_vf(f, trailing_eol=True, left_only=False):