def test_create_schema_view_using_invalid_type():
    """ Exercises code paths unischema.create_schema_view ValueError, and unischema.__str__."""
    TestSchema = Unischema('TestSchema', [
        UnischemaField('int_field', np.int8, (), ScalarCodec(IntegerType()), False),
        UnischemaField('string_field', np.string_, (), ScalarCodec(StringType()), False),
    ])
    with pytest.raises(ValueError, match='must be either a string'):
        TestSchema.create_schema_view([42])
def test_create_schema_view_fails_validate():
    """ Exercises code paths unischema.create_schema_view ValueError, and unischema.__str__."""
    TestSchema = Unischema('TestSchema', [
        UnischemaField('int_field', np.int8, (), ScalarCodec(IntegerType()), False),
        UnischemaField('string_field', np.string_, (), ScalarCodec(StringType()), False),
    ])
    with pytest.raises(ValueError, match='does not belong to the schema'):
        TestSchema.create_schema_view([UnischemaField('id', np.int64, (), ScalarCodec(LongType()), False)])
Exemple #3
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 def test_create_schema_view_fails_validate(self):
     """ Exercises code paths unischema.create_schema_view ValueError, and unischema.__str__."""
     TestSchema = Unischema('TestSchema', [
         UnischemaField('int_field', np.int8, (), ScalarCodec(IntegerType()), False),
         UnischemaField('string_field', np.string_, (), ScalarCodec(StringType()), False),
     ])
     with self.assertRaises(ValueError) as ex:
         TestSchema.create_schema_view([UnischemaField('id', np.int64, (), ScalarCodec(LongType()), False)])
     self.assertTrue('does not belong to the schema' in str(ex.exception))
 def test_create_schema_view_using_invalid_type(self):
     """ Exercises code paths unischema.create_schema_view ValueError, and unischema.__str__."""
     TestSchema = Unischema('TestSchema', [
         UnischemaField('int_field', np.int8, (), ScalarCodec(IntegerType()), False),
         UnischemaField('string_field', np.string_, (), ScalarCodec(StringType()), False),
     ])
     with self.assertRaises(ValueError) as ex:
         TestSchema.create_schema_view([42])
     self.assertTrue('must be either a string' in str(ex.exception))
def test_create_schema_view_using_regex():
    TestSchema = Unischema('TestSchema', [
        UnischemaField('int_field', np.int8, (), ScalarCodec(IntegerType()), False),
        UnischemaField('string_field', np.string_, (), ScalarCodec(StringType()), False),
    ])
    view = TestSchema.create_schema_view(['int.*$'])
    assert set(view.fields.keys()) == {'int_field'}

    view = TestSchema.create_schema_view([u'int.*$'])
    assert set(view.fields.keys()) == {'int_field'}
def test_create_schema_view_no_field_matches_regex():
    TestSchema = Unischema('TestSchema', [
        UnischemaField('int_field', np.int8, (), ScalarCodec(IntegerType()), False),
        UnischemaField('string_field', np.string_, (), ScalarCodec(StringType()), False),
    ])
    view = TestSchema.create_schema_view(['bogus'])
    assert not view.fields
 def test_create_schema_view_using_unischema_fields(self):
     TestSchema = Unischema('TestSchema', [
         UnischemaField('int_field', np.int8, (), ScalarCodec(IntegerType()), False),
         UnischemaField('string_field', np.string_, (), ScalarCodec(StringType()), False),
     ])
     view = TestSchema.create_schema_view([TestSchema.int_field])
     self.assertEqual(set(view.fields.keys()), {'int_field'})
def test_create_schema_view_using_regex_and_unischema_fields_with_duplicates():
    TestSchema = Unischema('TestSchema', [
        UnischemaField('int_field', np.int8, (), ScalarCodec(IntegerType()), False),
        UnischemaField('string_field', np.string_, (), ScalarCodec(StringType()), False),
        UnischemaField('other_string_field', np.string_, (), ScalarCodec(StringType()), False),
    ])
    view = TestSchema.create_schema_view(['int.*$', TestSchema.int_field])
    assert set(view.fields.keys()) == {'int_field'}