[BUGFIX] Fix custom function lambda cycle detection (#1404)
Cycles detection did not take into account custom functions' variable usage. This is now fixed.
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7ac525f875
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4 changed files with 46 additions and 3 deletions
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@ -66,6 +66,22 @@ class Script:
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deps=deps + [dep.name],
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)
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for custom_func in variable_dependency.custom_function_dependencies(
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custom_function_definitions=self._functions
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):
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for dep in self._functions[custom_func.name].variables:
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self._ensure_no_cycle(
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name=variable_name,
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dep=dep.name,
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deps=deps + [custom_func.definition_name()],
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definitions=self._variables,
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)
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self._traverse_variable_dependencies(
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variable_name=variable_name,
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variable_dependency=self._variables[dep.name],
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deps=deps + [custom_func.definition_name(), dep.name],
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)
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def _ensure_no_variable_cycles(self, variables: Dict[str, SyntaxTree]):
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for variable_name, variable_definition in variables.items():
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self._traverse_variable_dependencies(
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@ -193,6 +193,14 @@ class NamedCustomFunction(NamedArgument, ABC):
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class ParsedCustomFunction(NamedCustomFunction):
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num_input_args: int
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def definition_name(self) -> str:
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"""
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Returns
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-------
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The function definition name, including the %
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"""
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return f"%{self.name}"
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@dataclass(frozen=True)
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class FunctionType(NamedArgument, ABC):
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@ -160,9 +160,20 @@ class VariableDependency(ABC):
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raise UNREACHABLE
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@final
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def _custom_function_dependencies(
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def custom_function_dependencies(
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self, custom_function_definitions: Dict[str, "VariableDependency"]
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) -> Set[ParsedCustomFunction]:
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"""
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Parameters
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----------
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custom_function_definitions
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Definition of all currently existing custom functions. Needed to check whether
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a lambda function's input function is custom or not.
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Returns
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-------
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All custom function dependencies
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"""
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custom_functions = self.custom_functions
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for lambda_func in self.lambdas:
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if lambda_func.value in custom_function_definitions:
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@ -185,7 +196,7 @@ class VariableDependency(ABC):
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True if it contains all input variables as a dependency. False otherwise.
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"""
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# If there are lambdas, see if they are custom functions. If so, check them
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for custom_function in self._custom_function_dependencies(custom_function_definitions):
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for custom_function in self.custom_function_dependencies(custom_function_definitions):
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if not custom_function_definitions[custom_function.name].is_subset_of(
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variables=variables, custom_function_definitions=custom_function_definitions
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):
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@ -205,7 +216,7 @@ class VariableDependency(ABC):
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True if it contains any of the input variables. False otherwise.
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"""
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# If there are lambdas, see if they are custom functions. If so, check them
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for custom_function in self._custom_function_dependencies(custom_function_definitions):
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for custom_function in self.custom_function_dependencies(custom_function_definitions):
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if custom_function_definitions[custom_function.name].contains(
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variables=variables, custom_function_definitions=custom_function_definitions
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):
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@ -6,6 +6,7 @@ from ytdl_sub.script.script import Script
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from ytdl_sub.script.script_output import ScriptOutput
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from ytdl_sub.script.types.array import Array
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from ytdl_sub.script.types.resolvable import Integer
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from ytdl_sub.script.utils.exceptions import CycleDetected
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from ytdl_sub.script.utils.exceptions import IncompatibleFunctionArguments
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@ -169,3 +170,10 @@ class TestLambdaFunctionIncompatibleNumArguments:
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"%output": f"{{%array_enumerate(array1, {lambda_value})}}",
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}
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)
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def test_lambda_with_custom_function_cycle(self):
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with pytest.raises(
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CycleDetected,
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match=re.escape("Cycle detected within these variables: two -> %times_two -> two"),
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):
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Script({"%times_two": "{%mul($0, two)}", "two": "{%times_two(2)}"})
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