def _doTest(self, maybe_not: ExpectationTypeConfigForNoneIsSuccess):
# ARRANGE #
named_transformer = StringTransformerSymbolContext.of_primitive(
'the_transformer', every_line_empty())
original_file_contents = 'some\ntext'
symbols = SymbolTable(
{named_transformer.name: named_transformer.symbol_table_container})
expected_symbol_reference_to_transformer = is_reference_to_string_transformer(
named_transformer.name)
expected_symbol_usages = asrt.matches_sequence(
[expected_symbol_reference_to_transformer])
self._check_with_source_variants(
test_configuration.arguments_for(
args(
'{transform_option} {the_transformer} {maybe_not} {empty}',
the_transformer=named_transformer.name,
maybe_not=maybe_not.
nothing__if_positive__not_option__if_negative)),
model_constructor.of_str(self, original_file_contents),
arrangement_w_tcds(post_population_action=
MK_SUB_DIR_OF_ACT_AND_MAKE_IT_CURRENT_DIRECTORY,
symbols=symbols),
Expectation(
ParseExpectation(symbol_references=expected_symbol_usages),
ExecutionExpectation(
main_result=maybe_not.pass__if_positive__fail__if_negative,
),
))
def test_transformation_SHOULD_apply_only_to_matcher_argument(self):
to_upper_transformer = StringTransformerSymbolContext.of_primitive(
'the_to_upper_transformer', string_transformers.to_uppercase())
model = contents_transformation.TransformedContentsSetup(
original='text',
transformed='TEXT',
)
integration_check.CHECKER__PARSE_FULL.check__w_source_variants(
self,
args2.conjunction([
args2.Parentheses(
args2.Transformed(
to_upper_transformer.name,
args2.Equals.eq_string(model.transformed)), ),
args2.Equals.eq_string(model.original),
]).as_arguments, model_constructor.of_str(self, model.original),
arrangement_w_tcds(symbols=to_upper_transformer.symbol_table),
Expectation(
ParseExpectation(
symbol_references=asrt.matches_singleton_sequence(
is_reference_to_string_transformer(
to_upper_transformer.name))),
ExecutionExpectation(
main_result=asrt_matching_result.matches_value(True))))
def runTest(self):
# ARRANGE #
named_transformer = StringTransformerSymbolContext.of_primitive(
_TRANSFORMER_SYMBOL_NAME,
string_transformers.to_uppercase()
)
contents_generator = contents_transformation.TransformedContentsSetup(
original='some\ntext',
transformed='SOME\nTEXT',
)
symbols = self.rel_opt.symbols.in_arrangement()
symbols.put(named_transformer.name,
named_transformer.symbol_table_container)
expected_symbol_reference_to_transformer = is_reference_to_string_transformer(named_transformer.name)
expected_symbol_references = asrt.matches_sequence(
[expected_symbol_reference_to_transformer] +
self.rel_opt.symbols.usage_expectation_assertions()
)
self._check_with_source_variants(
test_configuration.arguments_for(
args(
'{transform_option} {transformer} {maybe_not} {equals} '
'{file_option} {relativity_option} expected.txt',
transformer=named_transformer.name,
maybe_not=self.not_opt.nothing__if_positive__not_option__if_negative,
relativity_option=self.rel_opt.option_argument)),
model_constructor.of_str(self, contents_generator.original),
arrangement_w_tcds(
tcds_contents=self.rel_opt.populator_for_relativity_option_root(DirContents([
File('expected.txt', contents_generator.transformed)
])),
post_population_action=MK_SUB_DIR_OF_ACT_AND_MAKE_IT_CURRENT_DIRECTORY,
symbols=symbols,
),
Expectation(
ParseExpectation(
symbol_references=expected_symbol_references,
),
ExecutionExpectation(
main_result=self.not_opt.pass__if_positive__fail__if_negative,
),
),
)
def test_it_SHOULD_be_possible_to_create_multiple_intermediate_files(self):
# ARRANGE #
original_file_contents = 'original_file_contents'
expected_transformer_contents = original_file_contents.upper()
transform_to_uppercase = test_transformers_setup.TO_UPPER_CASE_TRANSFORMER
symbol_table_with_lines_transformer = transform_to_uppercase.symbol_table
expected_symbol_references = asrt.matches_sequence([
is_reference_to_string_transformer(transform_to_uppercase.name)
])
for_all__equals__arguments = args.complete_arguments_constructor(
FileQuantificationAssertionVariant(
Quantifier.ALL,
file_contents_arg2(sm_arg.Transformed(transform_to_uppercase.name,
sm_arg.Equals.eq_string(expected_transformer_contents)))
,
))
relativity_root_conf = AN_ACCEPTED_SDS_REL_OPT_CONFIG
etc = expectation_type_config__non_is_success(ExpectationType.POSITIVE)
arguments = for_all__equals__arguments.apply(etc)
# ACT & ASSERT #
integration_check.CHECKER__PARSE_FULL.check(
self,
remaining_source(arguments),
model.model_with_rel_root_as_source_path(relativity_root_conf),
arrangement=
arrangement_w_tcds(
tcds_contents=relativity_root_conf.populator_for_relativity_option_root(
DirContents([
File('1.txt', original_file_contents),
File('2.txt', original_file_contents),
])
),
symbols=symbol_table_with_lines_transformer
),
expectation=
Expectation(
ParseExpectation(
symbol_references=expected_symbol_references
),
ExecutionExpectation(
main_result=etc.pass__if_positive__fail__if_negative,
),
)
)
def runTest(self):
successful_transformer = StringTransformerSymbolContext.of_identity(
'successful_transformer')
for case in validation_cases.failing_validation_cases(
'failing_transformer'):
failing_symbol_context = case.value.symbol_context
symbols = SymbolContext.symbol_table_of_contexts([
failing_symbol_context,
successful_transformer,
])
order_cases = [
NameAndValue(
'1st transformer fails',
[failing_symbol_context.name, successful_transformer.name
]),
NameAndValue(
'2nd transformer fails',
[successful_transformer.name, failing_symbol_context.name
]),
]
for order_case in order_cases:
arguments = st_args.syntax_for_sequence_of_transformers(
order_case.value)
expected_symbol_references = asrt.matches_sequence([
is_reference_to_string_transformer(symbol_name)
for symbol_name in order_case.value
])
with self.subTest(validation_case=case.name,
order_case=order_case.name):
integration_check.CHECKER__PARSE_FULL.check__w_source_variants(
self, Arguments(arguments),
model_constructor.of_lines(self, []),
arrangement_w_tcds(symbols=symbols),
Expectation(
ParseExpectation(
symbol_references=expected_symbol_references),
ExecutionExpectation(
validation=case.value.expectation, ),
prim_asrt__constant(
is_identity_transformer(False)),
))
def runTest(self):
# ARRANGE #
original_model_contents = 'some text'
expected_model_contents = original_model_contents.upper()
cases = [
NEA(
'transformation that makes matcher match',
True,
string_transformers.to_uppercase(),
),
NEA(
'transformation that makes matcher NOT match',
False,
delete_everything(),
),
]
# ACT & ASSERT #
integration_check.CHECKER__PARSE_FULL.check_multi__w_source_variants(
self,
args2.Transformed(
_TRANSFORMER_SYMBOL_NAME,
args2.Equals.eq_string(
surrounded_by_hard_quotes_str(
expected_model_contents))).as_arguments,
asrt.matches_singleton_sequence(
is_reference_to_string_transformer(_TRANSFORMER_SYMBOL_NAME)),
model_constructor.of_str(self, original_model_contents),
[
NExArr(
case.name,
PrimAndExeExpectation.of_exe(
main_result=asrt_matching_result.matches_value(
case.expected), ),
arrangement_w_tcds(
symbols=StringTransformerSymbolContext.of_primitive(
_TRANSFORMER_SYMBOL_NAME,
case.actual).symbol_table, )) for case in cases
],
)
def _doTest(self, maybe_not: ExpectationTypeConfigForNoneIsSuccess):
# ARRANGE #
named_transformer = StringTransformerSymbolContext.of_primitive(
'the_transformer', every_line_empty())
checked_file = File('actual.txt', 'some\ntext')
symbols = named_transformer.symbol_table
expected_symbol_reference_to_transformer = is_reference_to_string_transformer(
named_transformer.name)
expected_symbol_usages = asrt.matches_sequence(
[expected_symbol_reference_to_transformer])
# ACT & ASSERT #
self._check_with_source_variants(
arguments=arguments_for(
sm_args.args(
'{transform_option} {the_transformer} {maybe_not} {empty}',
the_transformer=named_transformer.name,
maybe_not=maybe_not.
nothing__if_positive__not_option__if_negative)),
model_constructor=integration_check.constant_relative_file_name(
checked_file.name),
arrangement=arrangement_w_tcds(
non_hds_contents=single_file_in_current_dir(checked_file),
symbols=symbols,
),
expectation=Expectation(
ParseExpectation(symbol_references=expected_symbol_usages),
ExecutionExpectation(
main_result=maybe_not.pass__if_positive__fail__if_negative,
),
))
def _doTest(self, maybe_not: ExpectationTypeConfigForNoneIsSuccess):
# ARRANGE #
string_to_prepend = '.'
initial_model_contents = '\n'
model_after_2_transformations = ''.join(
[string_to_prepend, string_to_prepend, initial_model_contents])
initial_model = model_constructor.of_str(self, initial_model_contents)
equals_expected_matcher = StringMatcherSymbolContext.of_primitive(
'EQUALS_EXPECTED',
EqualsMatcherTestImpl(model_after_2_transformations))
prepend_transformer_symbol = StringTransformerSymbolContext.of_primitive(
'PREPEND_TRANSFORMER',
string_transformers.of_line_transformer__w_preserved_line_ending(
'prepend to each line', lambda line:
(line + string_to_prepend)))
prepend_trans_arg = str_trans_syntax.syntax_for_transformer_option(
prepend_transformer_symbol.name)
trans_and_eq_expected_matcher_source = remaining_source(
'{prepend_trans_arg} {equals_expected_matcher}'.format(
prepend_trans_arg=prepend_trans_arg,
equals_expected_matcher=equals_expected_matcher.name,
))
# ACT & ASSERT #
parser = sut.parsers().full
prepend_and_equals_expected_matcher_sdv = parser.parse(
trans_and_eq_expected_matcher_source)
prepend_and_equals_expected_matcher = StringMatcherSymbolContext.of_sdv(
'PREPEND_AND_EQUALS_EXPECTED',
prepend_and_equals_expected_matcher_sdv)
symbols = SymbolContext.symbol_table_of_contexts([
equals_expected_matcher,
prepend_transformer_symbol,
prepend_and_equals_expected_matcher,
])
expected_symbol_references = asrt.matches_sequence([
is_reference_to_string_transformer(
prepend_transformer_symbol.name),
is_reference_to_string_matcher(
prepend_and_equals_expected_matcher.name),
])
self._check_with_source_variants(
test_configuration.arguments_for(
args(
'{prepend_trans_arg} {maybe_not} {prepend_and_equals_expected_matcher}',
prepend_trans_arg=prepend_trans_arg,
maybe_not=maybe_not.
nothing__if_positive__not_option__if_negative,
prepend_and_equals_expected_matcher=
prepend_and_equals_expected_matcher.name)), initial_model,
arrangement_w_tcds(symbols=symbols),
Expectation(
ParseExpectation(
symbol_references=expected_symbol_references, ),
ExecutionExpectation(
main_result=maybe_not.pass__if_positive__fail__if_negative,
),
))
def reference_assertion(self, symbol_name: str) -> Assertion[SymbolReference]:
return is_reference_to_string_transformer(symbol_name)
def test_with_transformation(self):
# ARRANGE #
stdout_contents = 'output on stdout'
stderr_contents = 'output on stderr'
exit_code_cases = [0, 72]
to_upper_transformer = test_transformers_setup.TO_UPPER_CASE_TRANSFORMER
transformation_cases = [
NIE(
'stdout',
stdout_contents.upper(),
ProcOutputFile.STDOUT,
),
NIE(
'stderr',
stderr_contents.upper(),
ProcOutputFile.STDERR,
),
]
for exit_code_case in exit_code_cases:
for transformation_case in transformation_cases:
with self.subTest(exit_code=exit_code_case,
transformation=transformation_case.name):
python_source = py_pgm_with_stdout_stderr_exit_code(
stdout_contents, stderr_contents, exit_code_case)
program_that_executes_py_source = ProgramSymbolContext.of_sdv(
'PROGRAM_THAT_EXECUTES_PY_SOURCE',
program_sdvs.for_py_source_on_command_line(
python_source))
source = pgm_args.symbol_ref_command_elements(
program_that_executes_py_source.name,
transformation=to_upper_transformer.name
).as_remaining_source
symbols = SymbolContext.symbol_table_of_contexts([
program_that_executes_py_source, to_upper_transformer
])
# ACT & ASSERT #
CHECKER_W_TRANSFORMATION.check(
self, source, transformation_case.input_value,
arrangement_w_tcds(symbols=symbols, ),
Expectation(
ParseExpectation(
symbol_references=asrt.matches_sequence([
program_that_executes_py_source.
reference_assertion,
is_reference_to_string_transformer(
to_upper_transformer.name),
]), ),
ExecutionExpectation(
main_result=assert_process_result_data(
exitcode=asrt.equals(exit_code_case),
stdout_contents=asrt.equals(
stdout_contents),
stderr_contents=asrt.equals(
stderr_contents),
contents_after_transformation=asrt.equals(
transformation_case.expected_value),
))))
def test_successful_parse_of_sequence(self):
# ARRANGE #
regex_str = 'the_regex'
replacement_str = 'the_replacement'
symbol = StringTransformerSymbolContext.of_primitive(
'the_symbol_name',
string_transformers.must_not_be_used()
)
replace_transformer_syntax = argument_syntax.syntax_for_replace_transformer(regex_str,
replacement_str)
defined_name = 'defined_name'
cases = [
SourceCase('Expression on single line',
source=
remaining_source(
src2(ValueType.STRING_TRANSFORMER,
defined_name,
argument_syntax.syntax_for_sequence_of_transformers([
symbol.name,
replace_transformer_syntax,
])),
following_lines=['following line'],
),
source_assertion=asrt_source.is_at_beginning_of_line(2)
),
SourceCase('Expression on following line',
source=
remaining_source(
src2(ValueType.STRING_TRANSFORMER, defined_name, '{new_line} {transformer_argument}',
transformer_argument=argument_syntax.syntax_for_sequence_of_transformers([
symbol.name,
replace_transformer_syntax,
])),
following_lines=['following line'],
),
source_assertion=asrt_source.is_at_beginning_of_line(3)
),
SourceCase('1st expr on first line followed by operator, 2nd expr on next line',
source=
remaining_source(
src2(ValueType.STRING_TRANSFORMER, defined_name, '{the_symbol_name} {sequence_operator}',
the_symbol_name=symbol.name,
sequence_operator=SEQUENCE_OPERATOR_NAME),
following_lines=[replace_transformer_syntax],
),
source_assertion=asrt_source.source_is_at_end
),
SourceCase('1st expr on first line followed by operator, 2nd expr on next line, non-exr on 3rd line',
source=
remaining_source(
src2(ValueType.STRING_TRANSFORMER, defined_name, '{the_symbol_name} {sequence_operator}',
the_symbol_name=symbol.name,
sequence_operator=SEQUENCE_OPERATOR_NAME),
following_lines=[replace_transformer_syntax,
'following line'],
),
source_assertion=asrt_source.is_at_beginning_of_line(3)
),
]
# EXPECTATION #
expected_container = matches_container(
asrt.equals(ValueType.STRING_TRANSFORMER),
sdv=matches_sdv_of_string_transformer_constant(
references=asrt.matches_sequence([
is_reference_to_string_transformer(symbol.name),
]),
primitive_value=asrt_string_transformer.is_identity_transformer(False),
symbols=symbol.symbol_table,
)
)
for source_case in cases:
with self.subTest(source_case.name):
expectation = Expectation.phase_agnostic(
symbol_usages=asrt.matches_sequence([
asrt_sym_usage.matches_definition(asrt.equals(defined_name),
expected_container)
]),
symbols_after_main=assert_symbol_table_is_singleton(
defined_name,
expected_container,
),
source=source_case.source_assertion
)
# ACT & ASSERT #
INSTRUCTION_CHECKER.check(self, source_case.source, Arrangement.phase_agnostic(), expectation)