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# Conflicts: # .claude/rules/architecture.md # .claude/rules/code-style.md # .github/workflows/claude.yml # .github/workflows/duplicate-code-detector.yml # codeflash/api/aiservice.py # codeflash/cli_cmds/console.py # codeflash/cli_cmds/logging_config.py # codeflash/code_utils/deduplicate_code.py # codeflash/discovery/discover_unit_tests.py # codeflash/languages/base.py # codeflash/languages/code_replacer.py # codeflash/languages/javascript/mocha_runner.py # codeflash/languages/javascript/support.py # codeflash/languages/python/support.py # codeflash/optimization/function_optimizer.py # codeflash/verification/parse_test_output.py # codeflash/verification/verification_utils.py # codeflash/verification/verifier.py # packages/codeflash/package-lock.json # packages/codeflash/package.json # tests/languages/javascript/test_support_dispatch.py # tests/test_codeflash_capture.py # tests/test_languages/test_javascript_test_runner.py # tests/test_multi_file_code_replacement.py
281 lines
8.1 KiB
Python
281 lines
8.1 KiB
Python
import tempfile
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from pathlib import Path
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import pytest
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from codeflash.discovery.functions_to_optimize import FunctionToOptimize
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from codeflash.languages.python.static_analysis.code_extractor import get_code
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from codeflash.models.models import FunctionParent
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@pytest.fixture
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def temp_dir():
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with tempfile.TemporaryDirectory() as tmpdirname:
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yield Path(tmpdirname)
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def test_get_code_function(temp_dir: Path) -> None:
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code = """def test(self):
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return self._test"""
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with (temp_dir / "temp_file.py").open(mode="w") as f:
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f.write(code)
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f.flush()
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new_code, contextual_dunder_methods = get_code([FunctionToOptimize("test", f.name, [])])
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assert new_code == code
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assert contextual_dunder_methods == set()
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def test_get_code_property(temp_dir: Path) -> None:
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code = """class TestClass:
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def __init__(self):
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self._test = 5
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@property
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def test(self):
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return self._test"""
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with (temp_dir / "temp_file.py").open(mode="w") as f:
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f.write(code)
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f.flush()
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new_code, contextual_dunder_methods = get_code(
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[FunctionToOptimize("test", f.name, [FunctionParent("TestClass", "ClassDef")])]
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)
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assert new_code == code
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assert contextual_dunder_methods == {("TestClass", "__init__")}
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def test_get_code_class(temp_dir: Path) -> None:
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code = """
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class TestClass:
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def __init__(self):
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self._test = 5
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def test_method(self):
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return self._test + 1
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@property
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def test(self):
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return self._test"""
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expected = """class TestClass:
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def __init__(self):
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self._test = 5
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@property
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def test(self):
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return self._test"""
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with (temp_dir / "temp_file.py").open(mode="w") as f:
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f.write(code)
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f.flush()
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new_code, contextual_dunder_methods = get_code(
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[FunctionToOptimize("test", f.name, [FunctionParent("TestClass", "ClassDef")])]
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)
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assert new_code == expected
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assert contextual_dunder_methods == {("TestClass", "__init__")}
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def test_get_code_bubble_sort_class(temp_dir: Path) -> None:
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code = """
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def hi():
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pass
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class BubbleSortClass:
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def __init__(self):
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pass
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def __call__(self):
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pass
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def sorter(self, arr):
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for i in range(len(arr)):
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for j in range(len(arr) - 1):
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if arr[j] > arr[j + 1]:
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temp = arr[j]
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arr[j] = arr[j + 1]
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arr[j + 1] = temp
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return arr
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def helper(self, arr, j):
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return arr[j] > arr[j + 1]
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"""
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expected = """class BubbleSortClass:
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def __init__(self):
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pass
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def __call__(self):
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pass
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def sorter(self, arr):
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for i in range(len(arr)):
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for j in range(len(arr) - 1):
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if arr[j] > arr[j + 1]:
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temp = arr[j]
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arr[j] = arr[j + 1]
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arr[j + 1] = temp
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return arr
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"""
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with (temp_dir / "temp_file.py").open(mode="w") as f:
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f.write(code)
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f.flush()
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new_code, contextual_dunder_methods = get_code(
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[FunctionToOptimize("sorter", f.name, [FunctionParent("BubbleSortClass", "ClassDef")])]
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)
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assert new_code == expected
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assert contextual_dunder_methods == {("BubbleSortClass", "__init__"), ("BubbleSortClass", "__call__")}
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def test_get_code_indent(temp_dir: Path) -> None:
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code = """def hi():
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pass
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def hello():
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pass
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class BubbleSortClass:
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def __init__(self):
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pass
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def unsorter(self, arr):
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return shuffle(arr)
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def __call__(self):
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pass
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def sorter(self, arr):
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for i in range(len(arr)):
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for j in range(len(arr) - 1):
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if arr[j] > arr[j + 1]:
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temp = arr[j]
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arr[j] = arr[j + 1]
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arr[j + 1] = temp
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return arr
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def helper(self, arr, j):
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return arr[j] > arr[j + 1]
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def oui():
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pass
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def non():
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pass
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"""
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expected = """class BubbleSortClass:
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def __init__(self):
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pass
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def __call__(self):
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pass
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def sorter(self, arr):
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for i in range(len(arr)):
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for j in range(len(arr) - 1):
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if arr[j] > arr[j + 1]:
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temp = arr[j]
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arr[j] = arr[j + 1]
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arr[j + 1] = temp
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return arr
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def helper(self, arr, j):
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return arr[j] > arr[j + 1]
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"""
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with (temp_dir / "temp_file.py").open(mode="w") as f:
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f.write(code)
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f.flush()
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new_code, contextual_dunder_methods = get_code(
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[
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FunctionToOptimize("sorter", f.name, [FunctionParent("BubbleSortClass", "ClassDef")]),
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FunctionToOptimize("helper", f.name, [FunctionParent("BubbleSortClass", "ClassDef")]),
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]
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)
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assert new_code == expected
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assert contextual_dunder_methods == {("BubbleSortClass", "__init__"), ("BubbleSortClass", "__call__")}
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expected2 = """class BubbleSortClass:
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def __init__(self):
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pass
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def __call__(self):
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pass
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def sorter(self, arr):
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for i in range(len(arr)):
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for j in range(len(arr) - 1):
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if arr[j] > arr[j + 1]:
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temp = arr[j]
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arr[j] = arr[j + 1]
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arr[j + 1] = temp
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return arr
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def helper(self, arr, j):
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return arr[j] > arr[j + 1]
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def unsorter(self, arr):
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return shuffle(arr)
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"""
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with (temp_dir / "temp_file.py").open(mode="w") as f:
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f.write(code)
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f.flush()
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new_code, contextual_dunder_methods = get_code(
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[
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FunctionToOptimize("sorter", f.name, [FunctionParent("BubbleSortClass", "ClassDef")]),
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FunctionToOptimize("helper", f.name, [FunctionParent("BubbleSortClass", "ClassDef")]),
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FunctionToOptimize("unsorter", f.name, [FunctionParent("BubbleSortClass", "ClassDef")]),
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]
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)
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assert new_code == expected2
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assert contextual_dunder_methods == {("BubbleSortClass", "__init__"), ("BubbleSortClass", "__call__")}
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def test_get_code_multiline_class_def(temp_dir: Path) -> None:
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code = """class StatementAssignmentVariableConstantMutable(
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StatementAssignmentVariableMixin, StatementAssignmentVariableConstantMutableBase
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):
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kind = "STATEMENT_ASSIGNMENT_VARIABLE_CONSTANT_MUTABLE"
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def postInitNode(self):
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self.variable_trace = None
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self.inplace_suspect = None
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def computeStatement(self, trace_collection):
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return self, None, None
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@staticmethod
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def hasVeryTrustedValue():
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return False
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"""
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expected = """class StatementAssignmentVariableConstantMutable(
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StatementAssignmentVariableMixin, StatementAssignmentVariableConstantMutableBase
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):
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def computeStatement(self, trace_collection):
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return self, None, None
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"""
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with (temp_dir / "temp_file.py").open(mode="w") as f:
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f.write(code)
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f.flush()
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new_code, contextual_dunder_methods = get_code(
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[
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FunctionToOptimize(
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"computeStatement",
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f.name,
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[FunctionParent("StatementAssignmentVariableConstantMutable", "ClassDef")],
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)
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]
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)
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assert new_code == expected
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assert contextual_dunder_methods == set()
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def test_get_code_dataclass_attribute(temp_dir: Path) -> None:
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code = """@dataclass
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class CustomDataClass:
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name: str = ""
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data: List[int] = field(default_factory=list)"""
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with (temp_dir / "temp_file.py").open(mode="w") as f:
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f.write(code)
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f.flush()
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# This is not something that should ever happen with the current implementation, as get_code only runs with a
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# single FunctionToOptimize instance, in the case where that instance has been filtered to represent a function
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# (with a definition).
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new_code, contextual_dunder_methods = get_code(
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[FunctionToOptimize("name", f.name, [FunctionParent("CustomDataClass", "ClassDef")])]
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)
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assert new_code is None
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assert contextual_dunder_methods == set()
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