PyPI / hypothesis / 6.169.3

hypothesis 6.169.3

Source
https://github.com/HypothesisWorks/hypothesis
Tag scanned
v6.169.3
Directory
hypothesis (only this part of the repository was scanned)
Compared with
v6.169.2 (0 signals introduced since)
Files
536 scanned, 16 skipped (binary, oversized, or unrecognised)
Signals
0 critical · 0 warn · 107 info
Scan time
32.5 s
LLM review
Reviewed by claude-haiku-5-5 (Anthropic): 47 of 47 warn and critical signals; 47 demoted to info.
Disclude version
4.0.0
Scanned (UTC)
2026-10-15 13:41

Signals

Ordered by severity, then signals introduced in this release. Hidden characters are shown as ⟨U+…⟩.

  1. info critical → info by review dynamic-execution hypothesis/docs/conf.py:185:1

    `exec` at module scope (runs on import) on a non-literal expression (ast pass, confidence 0.80)

    _version_file = root.joinpath("src", "hypothesis", "version.py")
    exec(_version_file.read_text(encoding="utf-8"), _d)
    version = _d["__version__"]
    release = _d["__version__"]
    likely benign LLM, confidence 0.85 Docs config execs the project's own version.py to read __version__.
    Reasoning

    exec of file contents read from the repo's own src/hypothesis/version.py in the Sphinx docs config. It is a known idiom for reading __version__ without importing the package. Not malicious, though exec at module scope is a poor practice.

  2. line length 1436 characters (raw pass, confidence 0.50)

    The following notable open-source projects use Hypothesis to test their code: `pytorch <https://github.com/pytorch/pytorch>`_, `jax <https://github.com/jax-ml/jax>`_, `PyPy <https://github.com/pypy/pypy>`_, `numpy <https://github.com/numpy/numpy>`_, `pandas <https://github.com/pandas-dev/pandas>`_, `attrs <https://gith
  3. info dynamic-execution hypothesis/scripts/basic-test.sh:26:1

    command name is a variable (`$PYTEST`) that this file sets only to plain text (ast pass, confidence 0.40)

    # Run all the no-extra-dependency tests for this version (except slow nocover tests)
    $PYTEST tests/cover tests/pytest
    
    # Run tests for each extra module while the requirements are installed
  4. info dynamic-execution hypothesis/scripts/basic-test.sh:30:1

    command name is a variable (`$PYTEST`) that this file sets only to plain text (ast pass, confidence 0.40)

    pip install ".[pytz, dateutil, zoneinfo]"
    $PYTEST tests/datetime/
    pip uninstall -y pytz python-dateutil
  5. info dynamic-execution hypothesis/scripts/basic-test.sh:34:1

    command name is a variable (`$PYTEST`) that this file sets only to plain text (ast pass, confidence 0.40)

    pip install ".[dpcontracts]"
    $PYTEST tests/dpcontracts/
    pip uninstall -y dpcontracts
  6. info dynamic-execution hypothesis/scripts/basic-test.sh:40:1

    command name is a variable (`$PYTEST`) that this file sets only to plain text (ast pass, confidence 0.40)

    pip install "$(grep 'fakeredis==' ../requirements/coverage.txt)"
    $PYTEST tests/redis/
    pip uninstall -y redis fakeredis
  7. info dynamic-execution hypothesis/scripts/basic-test.sh:44:1

    command name is a variable (`$PYTEST`) that this file sets only to plain text (ast pass, confidence 0.40)

    pip install "$(grep 'typing-extensions==' ../requirements/coverage.txt)"
    $PYTEST tests/typing_extensions/
    pip uninstall -y typing_extensions
  8. info dynamic-execution hypothesis/scripts/basic-test.sh:49:1

    command name is a variable (`$PYTEST`) that this file sets only to plain text (ast pass, confidence 0.40)

    pip install "$(grep -m 1 -oE 'lark>=([0-9.]+)' ../hypothesis/pyproject.toml | tr '>' =)"
    $PYTEST -Wignore tests/lark/
    pip install "$(grep 'lark==' ../requirements/coverage.txt)"
    $PYTEST tests/lark/
  9. info dynamic-execution hypothesis/scripts/basic-test.sh:51:1

    command name is a variable (`$PYTEST`) that this file sets only to plain text (ast pass, confidence 0.40)

    pip install "$(grep 'lark==' ../requirements/coverage.txt)"
    $PYTEST tests/lark/
    pip uninstall -y lark
  10. info dynamic-execution hypothesis/scripts/basic-test.sh:56:3

    command name is a variable (`$PYTEST`) that this file sets only to plain text (ast pass, confidence 0.40)

      pip install ".[codemods,cli]"
      $PYTEST tests/codemods/
      pip uninstall -y libcst click
  11. info dynamic-execution hypothesis/scripts/basic-test.sh:62:3

    command name is a variable (`$PYTEST`) that this file sets only to plain text (ast pass, confidence 0.40)

      pip install "$(grep -E 'black(==| @)' ../requirements/coverage.txt)"
      $PYTEST tests/ghostwriter/
      pip uninstall -y black numpy
    fi
  12. info dynamic-execution hypothesis/scripts/basic-test.sh:70:1

    command name is a variable (`$PYTEST`) that this file sets only to plain text (ast pass, confidence 0.40)

    
    $PYTEST tests/nocover/
    
    # Run some tests without docstrings or assertions, to catch bugs
  13. info dynamic-execution hypothesis/scripts/basic-test.sh:74:1

    command name is a variable (`$PYTEST`) that this file sets only to plain text (ast pass, confidence 0.40)

    # like issue #822 in one of the test decorators.  See also #1541.
    PYTHONOPTIMIZE=2 $PYTEST \
        -W'ignore:assertions not in test modules or plugins will be ignored because assert statements are not executed by the underlying Python interpreter:pytest.PytestConfigWarning' \
  14. info dynamic-execution hypothesis/scripts/basic-test.sh:89:5

    command name is a variable (`$PYTEST`) that this file sets only to plain text (ast pass, confidence 0.40)

        pip install "$NUMPY"
        $PYTEST tests/array_api
        $PYTEST tests/numpy
  15. info dynamic-execution hypothesis/scripts/basic-test.sh:90:5

    command name is a variable (`$PYTEST`) that this file sets only to plain text (ast pass, confidence 0.40)

        $PYTEST tests/array_api
        $PYTEST tests/numpy
    
        pip install "$(grep 'pandas==' ../requirements/coverage.txt)"
  16. info dynamic-execution hypothesis/scripts/basic-test.sh:93:5

    command name is a variable (`$PYTEST`) that this file sets only to plain text (ast pass, confidence 0.40)

        pip install "$(grep 'pandas==' ../requirements/coverage.txt)"
        $PYTEST tests/pandas
    esac
  17. command name is a variable (`$PYTEST`) that this file sets only to plain text (ast pass, confidence 0.40)

    # like issue #822 in one of the test decorators.  See also #1541.
    PYTHONOPTIMIZE=2 $PYTEST \
        -W'ignore:assertions not in test modules or plugins will be ignored because assert statements are not executed by the underlying Python interpreter:pytest.PytestConfigWarning' \
  18. command name is a variable (`$PYTEST`) that this file sets only to plain text (ast pass, confidence 0.40)

    pip install ".[pytz, dateutil, zoneinfo]"
    $PYTEST tests/datetime/
    pip uninstall -y pytz python-dateutil
  19. command name is a variable (`$PYTEST`) that this file sets only to plain text (ast pass, confidence 0.40)

    pip install ".[dpcontracts]"
    $PYTEST tests/dpcontracts/
    pip uninstall -y dpcontracts
  20. command name is a variable (`$PYTEST`) that this file sets only to plain text (ast pass, confidence 0.40)

    pip install attrs
    $PYTEST tests/attrs/
    pip uninstall -y attrs
  21. command name is a variable (`$PYTEST`) that this file sets only to plain text (ast pass, confidence 0.40)

    pip install scipy
    $PYTEST tests/scipy/
    pip uninstall -y scipy
  22. command name is a variable (`$PYTEST`) that this file sets only to plain text (ast pass, confidence 0.40)

    pip install "$(grep 'typing-extensions==' ../requirements/coverage.txt)"
    $PYTEST tests/redis/
    pip uninstall -y redis fakeredis
  23. command name is a variable (`$PYTEST`) that this file sets only to plain text (ast pass, confidence 0.40)

    
    $PYTEST tests/typing_extensions/
    if [ "$HYPOTHESIS_PROFILE" != "crosshair" ]; then
      pip uninstall -y typing-extensions
  24. command name is a variable (`$PYTEST`) that this file sets only to plain text (ast pass, confidence 0.40)

    pip install "$(grep 'annotated-types==' ../requirements/coverage.txt)"
    $PYTEST tests/test_annotated_types.py
    pip uninstall -y annotated-types
  25. command name is a variable (`$PYTEST`) that this file sets only to plain text (ast pass, confidence 0.40)

    pip install "$(grep -m 1 -oE 'lark>=([0-9.]+)' ../hypothesis/pyproject.toml | tr '>' =)"
    $PYTEST -Wignore tests/lark/
    pip install "$(grep 'lark==' ../requirements/coverage.txt)"
    $PYTEST tests/lark/
  26. command name is a variable (`$PYTEST`) that this file sets only to plain text (ast pass, confidence 0.40)

    pip install "$(grep 'lark==' ../requirements/coverage.txt)"
    $PYTEST tests/lark/
    pip uninstall -y lark
  27. command name is a variable (`$PYTEST`) that this file sets only to plain text (ast pass, confidence 0.40)

      pip install ".[codemods,cli]"
      $PYTEST tests/codemods/
    
      if [ "$(python -c 'import sys; print(sys.version_info[:2] == (3, 11))')" = "True" ] ; then
  28. command name is a variable (`$PYTEST`) that this file sets only to plain text (ast pass, confidence 0.40)

      pip install "$(grep -E 'black(==| @)' ../requirements/coverage.txt)"
      $PYTEST tests/patching/
      pip uninstall -y libcst
  29. command name is a variable (`$PYTEST`) that this file sets only to plain text (ast pass, confidence 0.40)

      pip install attrs
      $PYTEST tests/ghostwriter/
      pip uninstall -y attrs
      pip uninstall -y black
  30. command name is a variable (`$PYTEST`) that this file sets only to plain text (ast pass, confidence 0.40)

          pip install .
          $PYTEST --count=2 --repeat-scope=session tests/numpy tests/crosshair
          # ...but running twice takes time, don't overdo it
          $PYTEST tests/array_api
  31. command name is a variable (`$PYTEST`) that this file sets only to plain text (ast pass, confidence 0.40)

          # ...but running twice takes time, don't overdo it
          $PYTEST tests/array_api
        else
          $PYTEST tests/array_api tests/numpy
  32. command name is a variable (`$PYTEST`) that this file sets only to plain text (ast pass, confidence 0.40)

        else
          $PYTEST tests/array_api tests/numpy
        fi
      fi
  33. info warn → info by review frame-introspection hypothesis/src/hypothesis/control.py:50:13

    `inspect.currentframe` — call-stack frame introspection (ast pass, confidence 0.70)

            )
        frame = inspect.currentframe()
        where = _calling_function_location("reject", frame)
        if currently_in_test_context():
    likely benign LLM, confidence 0.90 Uses frame introspection to report where reject() was called.
    Reasoning

    inspect.currentframe used to locate the caller of reject() for error/observability reporting. Standard testing library behaviour.

  34. info warn → info by review frame-introspection hypothesis/src/hypothesis/control.py:78:17

    `inspect.currentframe` — call-stack frame introspection (ast pass, confidence 0.70)

        if observability_enabled() or not condition:
            frame = inspect.currentframe()
            where = _calling_function_location("assume", frame)
            if observability_enabled() and currently_in_test_context():
    likely benign LLM, confidence 0.90 Uses frame introspection to record the caller location in assume().
    Reasoning

    Same pattern as assume(): frame lookup to record the calling location for observability. Legitimate.

  35. info warn → info by review decoder-decompress-payload hypothesis/src/hypothesis/core.py:442:23

    file imports decoder module(s) base64, zlib and calls `.decompress()` — embedded payload decompressed at runtime (ast pass, confidence 0.75)

            try:
                decoded = zlib.decompress(decoded[1:])
            except zlib.error as err:
                raise InvalidArgument(
    likely benign LLM, confidence 0.85 Decompresses a base64/zlib-encoded value, likely a stored example or seed.
    Reasoning

    zlib decompression of a versioned, base64-encoded blob that is the Hypothesis database/seed encoding, with error handling. The payload is data the library itself produces, not a hidden dropper.

  36. info warn → info by review dynamic-execution hypothesis/src/hypothesis/extra/ghostwriter.py:293:17

    `compile` called on a non-literal expression (ast pass, confidence 0.70)

                with contextlib.suppress(SyntaxError):
                    compile(repr(st.just(param.default)), "<string>", "eval")
                    elements.insert(0, param.default)
            if elements or types:
    likely benign LLM, confidence 0.85 Uses compile() to check that a repr string is valid Python syntax.
    Reasoning

    compile is used as a syntax validity check on repr() output of a strategy, inside a suppress(SyntaxError) block. It is not executing untrusted input in a meaningful way.

  37. info warn → info by review dynamic-execution hypothesis/src/hypothesis/extra/ghostwriter.py:719:9

    `compile` called on a non-literal expression (ast pass, confidence 0.70)

            r = re.sub(r"(lambda.*?: )(<unknown>)([,)])", r"\1...\3", r)
            compile(r, "<string>", "eval")
            # Finally, try to work out the imports we need for builds(), .map(),
            # .filter(), and .flatmap() to work without NameError
    likely benign LLM, confidence 0.85 Compiles generated source text to validate its syntax.
    Reasoning

    compile of generated source text for syntax validation only, not executed. Benign code-generation check.

  38. info warn → info by review dynamic-execution hypothesis/src/hypothesis/extra/ghostwriter.py:1837:13

    `compile` called on a non-literal expression (ast pass, confidence 0.70)

                # executed; so you still shouldn't ghostwrite for hostile code.
                compile(repr(identity), "<string>", "exec")
            except SyntaxError:
                identity = repr(identity)
    likely benign LLM, confidence 0.85 Checks whether a repr is valid Python with compile() and falls back on SyntaxError.
    Reasoning

    compile(repr(identity)) with SyntaxError fallback, used to check whether a repr is valid code. The comment itself notes that ghostwriting for hostile code is unsafe, meaning it is not designed to run untrusted input. Benign.

  39. identifier `aᵏ` mixes scripts: Latin + Other (in string/comment) (raw pass, confidence 0.40)

        # The sum of a geometric series is given by (ref: wikipedia):
        #     ᵐ∑ₖ₌₀ aᵏ = (aᵐ⁺¹ - 1) / (a - 1)
        #               = S(m) / S(0)
        # assuming a != 1 and using the definition
  40. identifier `aᵐ` mixes scripts: Latin + Other (in string/comment) (raw pass, confidence 0.40)

        # The sum of a geometric series is given by (ref: wikipedia):
        #     ᵐ∑ₖ₌₀ aᵏ = (aᵐ⁺¹ - 1) / (a - 1)
        #               = S(m) / S(0)
        # assuming a != 1 and using the definition
  41. identifier `aᵐ` mixes scripts: Latin + Other (in string/comment) (raw pass, confidence 0.40)

        # assuming a != 1 and using the definition
        #         S(m) := aᵐ⁺¹ - 1.
        # The sum we want, starting from a number n [0 <= n <= m] rather than zero, is
        #     ᵐ∑ₖ₌ₙ aᵏ = ᵐ∑ₖ₌₀ aᵏ - ⁿ⁻¹∑ₖ₌₀ aᵏ = S(m) / S(0) - S(n - 1) / S(0)
  42. identifier `aᵏ` mixes scripts: Latin + Other (in string/comment) (raw pass, confidence 0.40)

        # The sum we want, starting from a number n [0 <= n <= m] rather than zero, is
        #     ᵐ∑ₖ₌ₙ aᵏ = ᵐ∑ₖ₌₀ aᵏ - ⁿ⁻¹∑ₖ₌₀ aᵏ = S(m) / S(0) - S(n - 1) / S(0)
        def S(n):
            return alphabet_size ** (n + 1) - 1
  43. identifier `aᵏ` mixes scripts: Latin + Other (in string/comment) (raw pass, confidence 0.40)

        # The sum we want, starting from a number n [0 <= n <= m] rather than zero, is
        #     ᵐ∑ₖ₌ₙ aᵏ = ᵐ∑ₖ₌₀ aᵏ - ⁿ⁻¹∑ₖ₌₀ aᵏ = S(m) / S(0) - S(n - 1) / S(0)
        def S(n):
            return alphabet_size ** (n + 1) - 1
  44. identifier `aᵏ` mixes scripts: Latin + Other (in string/comment) (raw pass, confidence 0.40)

        # The sum we want, starting from a number n [0 <= n <= m] rather than zero, is
        #     ᵐ∑ₖ₌ₙ aᵏ = ᵐ∑ₖ₌₀ aᵏ - ⁿ⁻¹∑ₖ₌₀ aᵏ = S(m) / S(0) - S(n - 1) / S(0)
        def S(n):
            return alphabet_size ** (n + 1) - 1
  45. info warn → info by review frame-introspection hypothesis/src/hypothesis/internal/conjecture/junkdrawer.py:316:13

    `sys._getframe` — call-stack frame introspection (ast pass, confidence 0.70)

        """
        frame = sys._getframe(2)
        size = 1
        while frame:
    likely benign LLM, confidence 0.90 Walks call frames via sys._getframe for a size estimate.
    Reasoning

    sys._getframe used to walk the call stack for a size heuristic in a testing utility. Standard and benign.

  46. identifier `ˆøπ` mixes scripts: Other + Latin + Greek (in string/comment) (raw pass, confidence 0.40)

        # common unicode characters
        "Ω≈ç√∫˜µ≤≥÷åß∂ƒ©˙∆˚¬…æœ∑´®†¥¨ˆøπ“‘¡™£¢∞§¶•ªº–≠¸˛Ç◊ı˜Â¯˘¿ÅÍÎÏ˝ÓÔ⟨U+F8FF⟩ÒÚÆ☃Œ„´‰ˇÁ¨ˆØ∏”’`⁄€‹›fifl‡°·‚—±",
        # characters which increase in length when lowercased
  47. identifier `ˇÁ` mixes scripts: Other + Latin (in string/comment) (raw pass, confidence 0.40)

        # common unicode characters
        "Ω≈ç√∫˜µ≤≥÷åß∂ƒ©˙∆˚¬…æœ∑´®†¥¨ˆøπ“‘¡™£¢∞§¶•ªº–≠¸˛Ç◊ı˜Â¯˘¿ÅÍÎÏ˝ÓÔ⟨U+F8FF⟩ÒÚÆ☃Œ„´‰ˇÁ¨ˆØ∏”’`⁄€‹›fifl‡°·‚—±",
        # characters which increase in length when lowercased
  48. identifier `ˆØ` mixes scripts: Other + Latin (in string/comment) (raw pass, confidence 0.40)

        # common unicode characters
        "Ω≈ç√∫˜µ≤≥÷åß∂ƒ©˙∆˚¬…æœ∑´®†¥¨ˆøπ“‘¡™£¢∞§¶•ªº–≠¸˛Ç◊ı˜Â¯˘¿ÅÍÎÏ˝ÓÔ⟨U+F8FF⟩ÒÚÆ☃Œ„´‰ˇÁ¨ˆØ∏”’`⁄€‹›fifl‡°·‚—±",
        # characters which increase in length when lowercased
  49. identifier `æœÆŒffʤʨß` mixes scripts: Latin + Other (in string/comment) (raw pass, confidence 0.40)

        # ligatures
        "æœÆŒffʤʨß",
        # emoticons
        "(╯°□°)╯︵ ┻━┻)",
  50. identifier `ʇǝɯɐ` mixes scripts: Other + Latin (in string/comment) (raw pass, confidence 0.40)

        # upsidown text
        "ʇǝɯɐ ʇᴉs ɹolop ɯnsdᴉ ɯǝɹo˥",
        # reserved strings in windows
        "NUL",
  51. identifier `ʇᴉs` mixes scripts: Other + Latin (in string/comment) (raw pass, confidence 0.40)

        # upsidown text
        "ʇǝɯɐ ʇᴉs ɹolop ɯnsdᴉ ɯǝɹo˥",
        # reserved strings in windows
        "NUL",
  52. identifier `ɹolop` mixes scripts: Other + Latin (in string/comment) (raw pass, confidence 0.40)

        # upsidown text
        "ʇǝɯɐ ʇᴉs ɹolop ɯnsdᴉ ɯǝɹo˥",
        # reserved strings in windows
        "NUL",
  53. identifier `ɯnsdᴉ` mixes scripts: Other + Latin (in string/comment) (raw pass, confidence 0.40)

        # upsidown text
        "ʇǝɯɐ ʇᴉs ɹolop ɯnsdᴉ ɯǝɹo˥",
        # reserved strings in windows
        "NUL",
  54. identifier `ɯǝɹo` mixes scripts: Other + Latin (in string/comment) (raw pass, confidence 0.40)

        # upsidown text
        "ʇǝɯɐ ʇᴉs ɹolop ɯnsdᴉ ɯǝɹo˥",
        # reserved strings in windows
        "NUL",
  55. identifier `ͅi` mixes scripts: Other + Latin (in string/comment) (raw pass, confidence 0.40)

    �̲e͇̣̰̦̬͎ ̢̼̻̱̘h͚͎͙̜̣̲ͅi̦̲̣̰̤v̻͍e̺̭̳̪̰-m̢iͅn̖̺̞̲̯̰d̵̼̟͙̩̼̘̳ ̞̥̱̳̭r̛̗̘e͙p͠r̼̞̻̭̗e̺̠̣͟s̘͇̳͍̝͉e͉̥̯̞̲͚̬͜ǹ̬͎͎̟̖͇̤t͍̬̤͓̼̭͘ͅi̪̱n͠g̴͉ ⟨U+034F⟩͉ͅc̬̟h͡a̫̻̯͘o̫̟̖͍̙̝͉s̗̦̲.̨̹͈̣",
  56. identifier `iͅn` mixes scripts: Latin + Other (in string/comment) (raw pass, confidence 0.40)

    �̜̣̲ͅi̦̲̣̰̤v̻͍e̺̭̳̪̰-m̢iͅn̖̺̞̲̯̰d̵̼̟͙̩̼̘̳ ̞̥̱̳̭r̛̗̘e͙p͠r̼̞̻̭̗e̺̠̣͟s̘͇̳͍̝͉e͉̥̯̞̲͚̬͜ǹ̬͎͎̟̖͇̤t͍̬̤͓̼̭͘ͅi̪̱n͠g̴͉ ⟨U+034F⟩͉ͅc̬̟h͡a̫̻̯͘o̫̟̖͍̙̝͉s̗̦̲.̨̹͈̣",
  57. identifier `ͅi` mixes scripts: Other + Latin (in string/comment) (raw pass, confidence 0.40)

    �̲͚̬͜ǹ̬͎͎̟̖͇̤t͍̬̤͓̼̭͘ͅi̪̱n͠g̴͉ ⟨U+034F⟩͉ͅc̬̟h͡a̫̻̯͘o̫̟̖͍̙̝͉s̗̦̲.̨̹͈̣",
  58. identifier `ͅc` mixes scripts: Other + Latin (in string/comment) (raw pass, confidence 0.40)

    �͇̤t͍̬̤͓̼̭͘ͅi̪̱n͠g̴͉ ⟨U+034F⟩͉ͅc̬̟h͡a̫̻̯͘o̫̟̖͍̙̝͉s̗̦̲.̨̹͈̣",
  59. info warn → info by review frame-introspection hypothesis/src/hypothesis/internal/coverage.py:74:18

    `sys._getframe` — call-stack frame introspection (ast pass, confidence 0.70)

            # stack frames up.
            caller = sys._getframe(depth + 2)
            fname = pretty_file_name(caller.f_code.co_filename)
            local_description = f"{name} at {fname}:{caller.f_lineno}"
    likely benign LLM, confidence 0.90 Uses sys._getframe to describe the caller location for coverage.
    Reasoning

    sys._getframe used to find the caller's filename and line for coverage description. Standard library-internal introspection.

  60. info warn → info by review dynamic-execution hypothesis/src/hypothesis/internal/lambda_sources.py:265:20

    `eval` called on a non-literal expression (ast pass, confidence 0.70)

        if not f_code.co_freevars and not referenced_modules:
            compiled = eval(source, f_globals)
        else:
            if f_code.co_freevars:
    likely benign LLM, confidence 0.85 Evals reconstructed lambda source to rebuild a function object.
    Reasoning

    eval of source text recovered from a lambda's code object, used to reconstruct lambda objects for repr and reflection. Inputs are the library's own lambda source, not external untrusted data. A reasonable pattern for this purpose.

  61. info warn → info by review dynamic-execution hypothesis/src/hypothesis/internal/lambda_sources.py:298:9

    `exec` called on a non-literal expression (ast pass, confidence 0.70)

            )
            exec(exec_str, f_globals)
            compiled = f_globals["__construct_lambda"]()
    likely benign LLM, confidence 0.85 Execs generated code to construct a lambda from recovered source.
    Reasoning

    exec builds a generated __construct_lambda helper from reconstructed source. It is internal reflection machinery, not attacker-controlled input. Benign in context, though dynamic.

  62. info warn → info by review dynamic-execution hypothesis/src/hypothesis/internal/reflection.py:358:5

    `exec` called on a non-literal expression (ast pass, confidence 0.70)

        assert isinstance(source, str)
        exec(source, result.__dict__)
        eval_cache[source] = result
        return result
    likely benign LLM, confidence 0.85 Execs source text into a module namespace to build a function, with caching.
    Reasoning

    exec of source into a fresh module dict for dynamic function construction in a reflection helper, with a cache. Dynamic code generation, but the source originates from the library's own code paths.

  63. info warn → info by review frame-introspection hypothesis/src/hypothesis/internal/scrutineer.py:114:13

    `sys.settrace` — call-stack frame introspection (ast pass, confidence 0.70)

            if not hasattr(sys, "monitoring"):  # pragma: no cover  # only on Python < 3.12
                sys.settrace(self.trace)
                return self
    likely benign LLM, confidence 0.90 Installs a trace function for Python <3.12 to record behaviour.
    Reasoning

    sys.settrace used by the coverage/scrutineer tracer on Python versions without sys.monitoring, with pragma comments. Legitimate tooling.

  64. info warn → info by review frame-introspection hypothesis/src/hypothesis/internal/scrutineer.py:137:13

    `sys.settrace` — call-stack frame introspection (ast pass, confidence 0.70)

            if not hasattr(sys, "monitoring"):  # pragma: no cover  # only on Python < 3.12
                sys.settrace(None)
                return
    likely benign LLM, confidence 0.90 Removes the trace function after tracing completes.
    Reasoning

    Clears the trace function set above, the matching teardown. Legitimate.

  65. info warn → info by review frame-introspection hypothesis/src/hypothesis/strategies/_internal/strategies.py:102:31

    `sys._getframe` — call-stack frame introspection (ast pass, confidence 0.70)

            return location
        frame: FrameType | None = sys._getframe(1)
        while frame is not None and is_hypothesis_file(frame.f_code.co_filename):
            frame = frame.f_back
    likely benign LLM, confidence 0.90 Hypothesis walks the call stack to locate the user's code that created a strategy.
    Reasoning

    sys._getframe(1) walks up the stack to find the first frame outside Hypothesis's own files, which is a standard way to report where a strategy was defined. Read-only introspection with no network, file, or execution side effects.

  66. info warn → info by review frame-introspection hypothesis/src/hypothesis/strategies/_internal/types.py:227:37

    `sys._getframe` — call-stack frame introspection (ast pass, confidence 0.70)

        found_loc: str | None = None
        frame: types.FrameType | None = sys._getframe()
        while frame is not None:
            loc = f"{frame.f_code.co_filename}:{frame.f_lineno}"
    likely benign LLM, confidence 0.90 Hypothesis inspects the call stack to find a source location for type-resolution reporting.
    Reasoning

    sys._getframe() is used to search the stack for a source location, matching the library's own diagnostic and reporting purpose. It only reads frame metadata.

  67. info critical → info by review dynamic-execution hypothesis/tests/codemods/test_codemod_cli.py:40:12

    `subprocess.run` with `shell=True` and a non-literal command — runtime-determined shell invocation (ast pass, confidence 0.85)

    def run(command, *, cwd=None, input=None):
        return subprocess.run(
            command,
            input=input,
    likely benign LLM, confidence 0.75 A test helper runs a caller-provided command through the shell to exercise the codemod CLI.
    Reasoning

    This is a test helper that forwards a caller-supplied command string to subprocess.run with shell=True. The command comes from test code, not untrusted input, so the risk is limited to the test harness. Still, shell=True with a non-literal command is a pattern worth a glance.

  68. info warn → info by review frame-introspection hypothesis/tests/conjecture/test_junkdrawer.py:201:16

    `inspect.stack` — call-stack frame introspection (ast pass, confidence 0.70)

    def recur(i):
        assert len(inspect.stack(0)) == stack_depth_of_caller()
        if i >= 1:
            recur(i - 1)
    likely benign LLM, confidence 0.90 A test uses inspect.stack to verify stack depth during recursion.
    Reasoning

    inspect.stack(0) is used in a test to check stack depth in a recursive function. It is a purely introspective test of the library's own utilities.

  69. info warn → info by review dynamic-execution hypothesis/tests/cover/test_feature_flags.py:58:14

    `eval` called on a non-literal expression (ast pass, confidence 0.70)

        assert not flags.is_enabled("off")
        flags2 = eval(repr(flags))
        assert flags2.is_enabled("on")
        assert not flags2.is_enabled("off")
    likely benign LLM, confidence 0.90 A test evals a repr of a feature-flags object to check round-tripping.
    Reasoning

    eval(repr(flags)) is a round-trip test confirming that the feature-flags object's repr can be reconstructed. The eval input is the library's own repr output, not external data.

  70. info warn → info by review dynamic-execution hypothesis/tests/cover/test_feature_flags.py:72:14

    `eval` called on a non-literal expression (ast pass, confidence 0.70)

    
        flags2 = eval(repr(flags))
    
        for f in features:
    likely benign LLM, confidence 0.90 A test evals the repr of feature flags to verify reconstruction.
    Reasoning

    Same repr round-trip pattern as the earlier eval in this file, operating on the library's own serialized output in a test.

  71. info warn → info by review frame-introspection hypothesis/tests/cover/test_observability.py:337:13

    `inspect.currentframe` — call-stack frame introspection (ast pass, confidence 0.70)

        # the line `offset` lines below the `def` statement of the calling function
        frame = inspect.currentframe().f_back
        return f"{__file__}:{frame.f_code.co_firstlineno + offset}"
    likely benign LLM, confidence 0.90 A test uses the current frame to compute an expected file and line location.
    Reasoning

    inspect.currentframe().f_back is used to compute the expected source line of a calling function for an observability test. It is read-only test scaffolding.

  72. info warn → info by review dynamic-execution hypothesis/tests/cover/test_pretty.py:596:14

    `eval` called on a non-literal expression (ast pass, confidence 0.70)

        ]:
            r2 = eval(pretty.pretty(r), globals())
            assert r.pattern == r2.pattern
            assert r.flags == r2.flags
    likely benign LLM, confidence 0.90 A test evals pretty-printed regex output to verify round-tripping.
    Reasoning

    eval of pretty-printed output in a test checks that the pretty printer produces code that reconstructs the same regex object. The input is generated by the library under test.

  73. info warn → info by review dynamic-execution hypothesis/tests/cover/test_pretty.py:625:9

    `eval` called on a non-literal expression (ast pass, confidence 0.70)

        assert float_to_lex(obj) == float_to_lex(
            eval(rep, {"struct": struct, "nan": float("nan")})
        )
    likely benign LLM, confidence 0.90 A test evals a float representation in a restricted namespace to check reconstruction.
    Reasoning

    eval of a repr string in a test, with a restricted namespace, checks that a float representation reconstructs correctly. This is standard round-trip testing.

  74. info warn → info by review dynamic-execution hypothesis/tests/cover/test_pretty.py:686:26

    `eval` called on a non-literal expression (ast pass, confidence 0.70)

    def test_pretty_prints_enums_as_code(rep):
        assert pretty.pretty(eval(rep)) == rep
    likely benign LLM, confidence 0.90 A test evals a parametrized representation to verify pretty-printed enum code.
    Reasoning

    eval(rep) on a parametrized representation of enum-like output checks that the pretty printer emits valid code. The input is from the test's own parameters.

  75. info warn → info by review dynamic-execution hypothesis/tests/cover/test_pretty.py:770:12

    `eval` called on a non-literal expression (ast pass, confidence 0.70)

        assert got == f"{x:#_x}"  # hexadecimal with underscores
        assert eval(got) == x
    likely benign LLM, confidence 0.90 A test evals formatted hex output to verify it reconstructs the original integer.
    Reasoning

    eval of formatted hexadecimal output with underscores checks that the pretty printer's output reconstructs the original value. This is a round-trip assertion in a test.

  76. info warn → info by review decoder-import-with-exec hypothesis/tests/cover/test_reproduce_failure.py:146:20

    file imports decoder module(s) base64, zlib and calls `exec`/`eval`/`compile` — multi-stage payload shape (ast pass, confidence 0.80)

        extract = exp.search(notes)
        reproduction = eval(extract.group(0))
        test = reproduction(test)
    likely benign LLM, confidence 0.80 A test decodes a reproduce_failure blob from notes and evals it to replay a failure.
    Reasoning

    The file imports base64 and zlib, and eval is applied to a regex match extracted from the notes. This is the reproduce_failure decorator's documented decode-and-reconstruct path, which Hypothesis uses to replay failures. The shape resembles a multi-stage payload, but the code is test scaffolding over the library's own blob format.

  77. info warn → info by review dynamic-execution hypothesis/tests/cover/test_reproduce_failure.py:146:20

    `eval` called on a non-literal expression (ast pass, confidence 0.70)

        extract = exp.search(notes)
        reproduction = eval(extract.group(0))
        test = reproduction(test)
    likely benign LLM, confidence 0.80 A test evals an extracted reproduction string to replay a recorded failure.
    Reasoning

    The same eval of the extracted reproduction expression as the paired decoder finding. It is the library's own failure-replay mechanism exercised in tests.

  78. identifier `te02тест49st` contains homoglyph candidates: е (0435)→e, с (0441)→c (in string/comment) (raw pass, confidence 0.35)

        with pytest.raises(InvalidArgument):
            check_can_generate_examples(characters(include_characters="te02тест49st"))
  79. identifier `te02тест49st` mixes scripts: Latin + Cyrillic (in string/comment) (raw pass, confidence 0.40)

        with pytest.raises(InvalidArgument):
            check_can_generate_examples(characters(include_characters="te02тест49st"))
  80. identifier `te02тест49st` contains homoglyph candidates: е (0435)→e, с (0441)→c (in string/comment) (raw pass, confidence 0.35)

    def test_whitelisted_characters_overlap_blacklisted_characters():
        good_chars = "te02тест49st"
        bad_chars = "ts94тсет"
        with pytest.raises(InvalidArgument) as exc:
  81. identifier `te02тест49st` mixes scripts: Latin + Cyrillic (in string/comment) (raw pass, confidence 0.40)

    def test_whitelisted_characters_overlap_blacklisted_characters():
        good_chars = "te02тест49st"
        bad_chars = "ts94тсет"
        with pytest.raises(InvalidArgument) as exc:
  82. identifier `ts94тсет` contains homoglyph candidates: с (0441)→c, е (0435)→e (in string/comment) (raw pass, confidence 0.35)

        good_chars = "te02тест49st"
        bad_chars = "ts94тсет"
        with pytest.raises(InvalidArgument) as exc:
            check_can_generate_examples(
  83. identifier `ts94тсет` mixes scripts: Latin + Cyrillic (in string/comment) (raw pass, confidence 0.40)

        good_chars = "te02тест49st"
        bad_chars = "ts94тсет"
        with pytest.raises(InvalidArgument) as exc:
            check_can_generate_examples(
  84. identifier `teтестst` contains homoglyph candidates: е (0435)→e, с (0441)→c (in string/comment) (raw pass, confidence 0.35)

    def test_whitelisted_characters_override():
        good_characters = "teтестst"
        st = characters(
            min_codepoint=ord("0"),
  85. identifier `teтестst` mixes scripts: Latin + Cyrillic (in string/comment) (raw pass, confidence 0.40)

    def test_whitelisted_characters_override():
        good_characters = "teтестst"
        st = characters(
            min_codepoint=ord("0"),
  86. identifier `te02тест49st` contains homoglyph candidates: е (0435)→e, с (0441)→c (in string/comment) (raw pass, confidence 0.35)

    def test_blacklisted_characters():
        bad_chars = "te02тест49st"
        st = characters(
            min_codepoint=ord("0"), max_codepoint=ord("9"), exclude_characters=bad_chars
  87. identifier `te02тест49st` mixes scripts: Latin + Cyrillic (in string/comment) (raw pass, confidence 0.40)

    def test_blacklisted_characters():
        bad_chars = "te02тест49st"
        st = characters(
            min_codepoint=ord("0"), max_codepoint=ord("9"), exclude_characters=bad_chars
  88. info warn → info by review unicode-mixed-script hypothesis/tests/cover/test_unicode_identifiers.py:37:1

    identifier `is_approx_π` mixes scripts: Latin + Greek (raw pass, confidence 0.80)

    
    is_approx_π = lambda x: x == 3.1415
    likely benign LLM, confidence 0.95 A lambda named with a Greek letter tests unicode identifier handling.
    Reasoning

    The file is named test_unicode_identifiers and the identifier is deliberately mixed Latin and Greek, to test that Hypothesis handles unicode identifiers. This is an intentional test case, not obfuscation.

  89. info warn → info by review unicode-mixed-script hypothesis/tests/cover/test_unicode_identifiers.py:41:44

    identifier `is_approx_π` mixes scripts: Latin + Greek (raw pass, confidence 0.80)

    def test_can_handle_unicode_identifier_in_same_line_as_lambda_def():
        assert get_pretty_function_description(is_approx_π) == "lambda x: x == 3.1415"
    likely benign LLM, confidence 0.95 A test uses the Greek-named lambda to check unicode identifier descriptions.
    Reasoning

    Same deliberate mixed-script identifier as the definition, used in a test asserting the pretty-printed description. The unicode case is the point of the test.

  90. info warn → info by review dynamic-execution hypothesis/tests/ghostwriter/recorded/magic_builtins.txt:112:5

    [markup prose] `eval` called on a string literal (ast pass, confidence 0.85)

        eval(source, globals, locals)
    dismissed LLM, confidence 0.90 A recorded documentation snippet shows eval being called on a string literal.
    Reasoning

    This is an eval call inside recorded prose or documentation output in a text file, not executable code. It is not a live execution path.

  91. info warn → info by review decoder-import-with-exec hypothesis/tests/ghostwriter/test_expected_output.py:302:5

    file imports decoder module(s) base64 and calls `exec`/`eval`/`compile` — multi-stage payload shape (ast pass, confidence 0.80)

        assert actual == expected  # We got the expected source code
        exec(expected, {})  # and there are no SyntaxError or NameErrors
    likely benign LLM, confidence 0.93 Test asserts generated source code executes without errors via exec.
    Reasoning

    This is a Hypothesis test suite for the ghostwriter feature. exec is used to verify that generated source code is valid Python, which is a standard testing pattern. The base64 import co-occurrence is incidental and not a decoder chain.

  92. info warn → info by review dynamic-execution hypothesis/tests/ghostwriter/test_expected_output.py:302:5

    `exec` called on a non-literal expression (ast pass, confidence 0.70)

        assert actual == expected  # We got the expected source code
        exec(expected, {})  # and there are no SyntaxError or NameErrors
    likely benign LLM, confidence 0.92 exec runs test-expected generated source to check it is valid.
    Reasoning

    exec on expected generated code in a test file checks syntax and name validity; the input is a test fixture, not attacker-controlled data.

  93. info warn → info by review dynamic-execution hypothesis/tests/ghostwriter/test_expected_output.py:317:5

    `exec` called on a non-literal expression (ast pass, confidence 0.70)

            assert actual == expected
        exec(expected, {"not_set": not_set})
    likely benign LLM, confidence 0.92 Test exec of expected generated source code.
    Reasoning

    Same testing pattern: exec of generated expected source in a namespace to verify it runs. No external input involved.

  94. info warn → info by review dynamic-execution hypothesis/tests/ghostwriter/test_expected_output.py:339:5

    `exec` called on a non-literal expression (ast pass, confidence 0.70)

        assert actual == expected  # We got the expected source code
        exec(expected, {})  # and there are no SyntaxError or NameErrors
    likely benign LLM, confidence 0.92 Test exec of expected generated source code.
    Reasoning

    Repeated test-verification exec of expected generated source; benign test harness code.

  95. info warn → info by review dynamic-execution hypothesis/tests/ghostwriter/test_ghostwriter.py:56:9

    `exec` called on a non-literal expression (ast pass, confidence 0.70)

        try:
            exec(source_code, namespace)
        except Exception:
            print(f"************\n{source_code}\n************")
    likely benign LLM, confidence 0.92 Test helper executes generated source code and logs on exception.
    Reasoning

    Within a helper that execs generated source for validation and prints it on failure; a test utility rather than malicious execution.

  96. info warn → info by review dynamic-execution hypothesis/tests/ghostwriter/test_ghostwriter.py:206:5

    `exec` called on a non-literal expression (ast pass, confidence 0.70)

        source_code = ghostwriter.magic(socket)
        exec(source_code, {})
    likely benign LLM, confidence 0.92 Test execs ghostwriter-generated magic source.
    Reasoning

    Test verifies ghostwriter-generated source runs; the source is produced by the library under test.

  97. info warn → info by review dynamic-execution hypothesis/tests/ghostwriter/test_ghostwriter.py:213:5

    `exec` called on a non-literal expression (ast pass, confidence 0.70)

        source_code = ghostwriter.binary_operation(takes_frozensets)
        exec(source_code, {})
    likely benign LLM, confidence 0.92 Test execs generated binary operation source.
    Reasoning

    Test execs library-generated binary_operation source to confirm validity.

  98. info warn → info by review dynamic-execution hypothesis/tests/ghostwriter/test_ghostwriter.py:234:5

    `exec` called on a non-literal expression (ast pass, confidence 0.70)

        # Most importantly: the code should execute without NameError
        exec(source_code, {})
    likely benign LLM, confidence 0.92 Test execs generated source to check for NameError.
    Reasoning

    Test confirms generated code executes without NameError; standard test pattern.

  99. info warn → info by review dynamic-execution hypothesis/tests/ghostwriter/test_ghostwriter.py:436:5

    `exec` called on a non-literal expression (ast pass, confidence 0.70)

        source_code = ghostwriter.binary_operation(compose_types)
        exec(source_code, {})
        # and also works with explicit identity element
        source_code = ghostwriter.binary_operation(compose_types, identity=type)
    likely benign LLM, confidence 0.92 Test execs generated binary operation source.
    Reasoning

    Test execs library-generated source for binary_operation; benign verification.

  100. info warn → info by review dynamic-execution hypothesis/tests/ghostwriter/test_ghostwriter.py:439:5

    `exec` called on a non-literal expression (ast pass, confidence 0.70)

        source_code = ghostwriter.binary_operation(compose_types, identity=type)
        exec(source_code, {})
    likely benign LLM, confidence 0.92 Test execs generated binary operation source with identity.
    Reasoning

    Same benign test verification of generated source with identity argument.

  101. info warn → info by review dynamic-execution hypothesis/tests/ghostwriter/test_ghostwriter.py:846:5

    `exec` called on a non-literal expression (ast pass, confidence 0.70)

        assert "one_of(" in source_code
        exec(source_code, {})
    likely benign LLM, confidence 0.92 Test execs generated source code.
    Reasoning

    Test execs ghostwriter-generated source containing one_of; benign.

  102. info warn → info by review dynamic-execution hypothesis/tests/ghostwriter/test_ghostwriter.py:854:5

    `exec` called on a non-literal expression (ast pass, confidence 0.70)

        source_code = ghostwriter.ufunc(numpy.isnan)
        exec(source_code, {})
        # Also cover passing an explicit `annotate`, rather than the default None.
        source_code = ghostwriter.ufunc(numpy.isnan, annotate=True)
    likely benign LLM, confidence 0.92 Test execs generated ufunc source.
    Reasoning

    Test execs ghostwriter.ufunc output for numpy.isnan; benign verification.

  103. info warn → info by review dynamic-execution hypothesis/tests/ghostwriter/test_ghostwriter.py:857:5

    `exec` called on a non-literal expression (ast pass, confidence 0.70)

        source_code = ghostwriter.ufunc(numpy.isnan, annotate=True)
        exec(source_code, {})
    likely benign LLM, confidence 0.92 Test execs generated ufunc source with annotate.
    Reasoning

    Test execs generated ufunc source with annotate; benign verification.

  104. info critical → info by review dynamic-execution hypothesis/tests/ghostwriter/test_ghostwriter_cli.py:43:12

    `subprocess.run` with `shell=True` and a non-literal command — runtime-determined shell invocation (ast pass, confidence 0.85)

    def run(cmd, *, cwd=None):
        return subprocess.run(
            cmd, capture_output=True, shell=True, text=True, cwd=cwd, encoding="utf-8"
        )
    likely benign LLM, confidence 0.85 Test helper running CLI commands through a shell.
    Reasoning

    A small test-harness wrapper around subprocess.run with shell=True for CLI tests. Critical severity is overstated because cmd is a caller-supplied test string, not untrusted input, though shell=True is a poor practice worth noting.

  105. info warn → info by review dynamic-execution hypothesis/tests/nocover/test_pretty_repr.py:102:16

    `eval` called on a non-literal expression (ast pass, confidence 0.70)

        r = repr(strategy)
        via_eval = eval(r, strategy_globals)
        r2 = repr(via_eval)
        assert r == r2
    likely benign LLM, confidence 0.90 Test evals strategy repr to check round-trip stability.
    Reasoning

    Round-trip test evaluating repr of Hypothesis strategies in a controlled globals dict to check repr stability; the input is strategy repr generated in-process.

  106. info warn → info by review dynamic-execution hypothesis/tests/nocover/test_pretty_repr.py:116:17

    `eval` called on a non-literal expression (ast pass, confidence 0.70)

    def test_sampled_transform_reprs(r):
        assert repr(eval(r, strategy_globals)) == r
    likely benign LLM, confidence 0.90 Test evals strategy repr strings for round-trip checks.
    Reasoning

    Parametrized test evaluating repr strings of strategies in a fixed namespace; benign test code.

  107. info warn → info by review dynamic-execution hypothesis/tests/numpy/test_floor_ceil.py:35:18

    `eval` called on a non-literal expression (ast pass, confidence 0.70)

    def test_our_floor_and_ceil_avoid_numpy_rounding(value):
        a = np.array(eval(value))
        f = floor(a)
        c = ceil(a)
    likely benign LLM, confidence 0.80 A numpy test helper calls eval on a function parameter to construct an array for floor/ceil comparisons.
    Reasoning

    The eval is applied to a parameter named value in a pytest-style test function, plausibly fed with parametrized literal strings like '[1.5, -2.3]' to build numpy arrays. This is a common though poor practice in test code. It is not obfuscation or a dropper: no encoding, no network or shell activity, and the result is only used to compute floor and ceil for assertions. The risk is limited to whatever inputs the test is parametrized with, and the snippet does not show the parametrization. Hence likely benign with a small residual doubt.

Reproduce This Scan

Run disclude locally to verify. Add --format sarif for SARIF output. Add --llm (with an API key in the environment) to include the LLM review.

cargo install disclude --version 4.0.0
git clone https://github.com/HypothesisWorks/hypothesis hypothesis && cd hypothesis
git checkout v6.169.3
disclude scan --severity info --diff v6.169.2 hypothesis