Skip to main content

python-constricter

CI Security OpenSSF Scorecard Test coverage: 100% Annotations: 100% License: MIT

I want all of my python code typed.

            /^\/^\
          _|__|  O|
\/     /~     \_/ \
  \____|__________/  \
        \_______      \
                `\     \                 \
                  |     |                  \
                  /      /                    \
                /     /                       \\
              /      /                         \ \
              /     /                            \  \
            /     /             _----_            \   \
          /     /           _-~      ~-_         |   |
          (      (        _-~    _--_    ~-_     _/   |
          \      ~-____-~    _-~    ~-_    ~-_-~    /
            ~-_           _-~          ~-_       _-~
                ~--______-~                ~-___-~

snake

https://pypi.org/project/python-constricter/


Lint rules: every local variable is typed where it's first bound. Ships as a flake8 plugin, a pylint plugin and a standalone command (for ruff, which loads no plugins).

def total(items: list[int]) -> int:
    count = 0  # LVA001
    result: int = 0  # ok
    first, *rest = items  # LVA001 twice
    head: int
    tail: list[int]
    head, *tail = items  # ok: declared first
    if (n := len(items)) > 3:  # LVA001
        result = n  # ok: rebinding
    for item in items:  # LVA002
        result += item
    for other in items:  # type: int  # LVA003
        result += other
    value: int
    for value in items:  # ok: declared first
        result += value
    return result

Rules

Checked per function body, including methods and nested functions; with all-scopes, module and class bodies too. Statements are read in source order, and only a name's first binding counts.

Code Reports Fix
LVA001 =, unpacking, := or with ... as in a function without annotation name: T = ..., or name: T first
LVA002 an untyped for target or match capture name: T first (or a type comment)
LVA003 a for target typed only by # type: T name: T first
LVA004 with all-scopes: the same as LVA001, in a module or class body name: T = ... (ClassVar[T] in a dataclass)
LVA005 an annotation with Any, object or a generic without its parameters name the real type
LVA006 an annotation nested nesting deep (5 by default) a type alias for a part of it
LVA007 a name annotated again with the type it already has, in the same block drop the second annotation

Exempt: comprehensions, except ... as, imports, def/class, type aliases, parameters, global/nonlocal, and _; in module and class bodies, dunder names (__all__, __slots__) and enum members (a base imported from enum, however it's aliased, or else whose name ends in Enum or Flag).

A # type: comment (x = 1 # type: int, with f() as x: # type: T) counts as an annotation with type-comments, or automatically in a module written to run on Python 2: one that imports print_function, unicode_literals, absolute_import, division, with_statement, generators or nested_scopes from __future__.

LVA007 compares a block on its own: an if's body and its orelse, a try's body and its excepts, and the like, are different blocks, since they don't both run in the same pass.

Levels

Each level makes one more code an error. The rest are warnings: the CLI prints them (as ::warning or SARIF warning in those formats) but exits 0; flake8 and pylint report errors only.

Level Errors Warnings
relaxed / 0 none LVA001–LVA004, LVA007
strict / 1 LVA001, LVA004 (the default) LVA002, LVA003, LVA005–LVA007
constrict / 2 LVA001, LVA004, LVA002 LVA003, LVA005–LVA007
suffocate / 3 all none

LVA005 and LVA006 aren't reported at relaxed.

Python 3.11+, no runtime dependencies.

Use

Tool Setup Reports Suppress
CLI constricter [PATH...] [--level L] [--format F] [-q] LVA001–LVA007 # noqa: LVA001
flake8 install it (on by default) LVA001–LVA007 # noqa: LVA001
pylint load-plugins = ["constricter.pylint_plugin"] C9101–C9107 (symbols below) # noqa: LVA001 or # pylint: disable=<symbol>
ruff run the CLI after ruff; set lint.external = ["LVA"] LVA001–LVA007 # noqa: LVA001

pylint symbols: unannotated-local-variable, untyped-for-or-match-variable, comment-typed-for-variable, unannotated-module-or-class-variable, vague-annotation, deeply-nested-annotation, redundant-annotation.

Options:

Option CLI [tool.constricter] flake8 (CLI or config) pylint
level --level level --constricter-level constricter-level
type comments --type-comments type-comments --constricter-type-comments constricter-type-comments = yes
all scopes --all-scopes all-scopes --constricter-all-scopes constricter-all-scopes = yes
nesting --nesting N nesting --constricter-nesting constricter-nesting
fix --fix (--unsafe-fixes for guesses), --diff to preview - - -
select --select CODES (codes or prefixes) select flake8's own select pylint's own enable
ignore --ignore CODES ignore flake8's own extend-ignore pylint's own disable
exclude --exclude GLOB (repeatable) exclude flake8's own exclude pylint's own ignore-paths
format --format: text, json, github, sarif - - -
statistics --statistics (counts per code, text format) - - -
jobs --jobs N (-j; 0: one per CPU) jobs flake8's own --jobs pylint's own --jobs
baseline --baseline FILE; --write-baseline records it baseline - -
coverage --coverage, --fail-under PCT - - -
per-path levels - per-path-levels - -
per-file ignores - per-file-ignores flake8's own per-file-ignores -
stdin - as the path, --stdin-filename PATH - flake8's own - -
exit status --exit-zero - flake8's own --exit-zero pylint's own --exit-zero
output file --output-file FILE - flake8's own --output-file pylint's own --output

constricter --explain LVA002 prints a code's rationale, its fix, and the levels that report it.

The CLI reads [tool.constricter] from the nearest pyproject.toml above the current directory; its flags override it, and --exclude adds to it. An unknown key or a bad value exits 2.

[tool.constricter]
level = "constrict" # or 2
exclude = ["tests/fixtures/*"]
type-comments = false
all-scopes = true
nesting = 5
jobs = 0
baseline = "constricter-baseline.json" # the default; relative to this pyproject.toml

# The first glob a file matches sets its level; other files get `level`.
[tool.constricter.per-path-levels]
"tests/*" = "strict"

# Codes (or prefixes) to drop for files matching a glob.
[tool.constricter.per-file-ignores]
"tests/fixtures/*" = ["LVA005", "LVA006"]
select = ["LVA00"]
ignore = ["LVA003"]

--fix adds the annotation where the value decides it, for a plain name = value in a function or module body:

  • a literal: count = 0 becomes count: int = 0;
  • a container whose elements agree: [1, 2] gives list[int], {"a": (1, "b")} gives dict[str, tuple[int, str]];
  • a call to a capitalised name (path = Path(...) gives Path), or to a plain function that declares its return type (not a decorated, generic, async or redefined one, and not a return of None, Any or one that uses a TypeVar), in the same module or, with the CLI, in another file it's checking: from pkg.util import f, import pkg.util as u then u.f(), relative imports and re-exports all work, as long as every name in the type already means the same thing in the file.

It never touches class bodies (a dataclass would gain a field) or unpacking, and it leaves what it can't fix reported. The standard library and third-party packages are out of reach.

Baselines

To adopt constricter on a codebase that already has offences, record them, then report only new ones:

constricter --write-baseline src # writes constricter-baseline.json next to pyproject.toml
constricter src                  # reports only offences the baseline doesn't cover

A baseline counts each file's offences by code and variable name, not line number, so it survives code moving around; another offence for a name it covers is still reported. Paths in it are relative to it. It's JSON, and like every JSON file constricter reads it may have // and /* */ comments and trailing commas. --baseline FILE or baseline in [tool.constricter] names another file; the default one is used only if it exists.

Annotation coverage

constricter --coverage src prints the share of first bindings that are typed, per file and in total; the bindings are the ones the rules cover (with --all-scopes, module and class bodies too), and # noqa doesn't make one typed. --fail-under PCT (which implies --coverage) exits 1 below PCT, so CI can hold a codebase to a share. With --format=json it prints {"typed", "total", "percent", "files"}, which a badge can read: publish that JSON somewhere (a gist, a release asset) and point shields.io's dynamic JSON badge at it with the query $.percent. This project keeps its own share at 100% in CI, so its badge is static.

Notebooks

.ipynb files are checked too (directories include them): their code cells are read as one module, IPython-only lines (%magic, !shell, obj?, %%cell magics) are skipped, and each offence is reported at its cell and line (analysis.ipynb:cell 3:2:5). JSON output has a cell field; GitHub and SARIF output point at the file and put the cell in the message. --fix and --diff edit the cells, keeping the notebook's formatting.

Adopting it on an existing codebase

  1. See the scale: constricter --statistics src counts offences per code.
  2. Record them: constricter --write-baseline src, and commit constricter-baseline.json.
  3. Enforce it for new code: add the pre-commit hook or the GitHub Action; the baseline keeps old offences quiet, and --diff / --fix clear the easy ones.
  4. Burn it down: fix a file or package at a time, then --write-baseline again to shrink the file.
  5. Tighten: raise level (or per-path-levels for the parts that are clean), then turn on all-scopes.

Output formats

--format is text (the default), json, github (workflow annotations), sarif (below), gitlab (Code Climate JSON, for GitLab's merge-request Code Quality widget: pass the file as a codequality report artifact), junit (a test suite per file, a failed test case per offence, for Jenkins, Azure Pipelines, CircleCI or GitLab's test reports) or rdjson (for reviewdog, with each certain fix as a suggestion). --output-file FILE writes the report there, and --exit-zero exits 0 even when there are errors (not when a file can't be read).

Editors (standard input)

constricter - --stdin-filename path/to/file.py checks standard input, reported as that path (which also picks its per-path level and baseline entry; a .ipynb name reads a notebook). With --fix it prints the fixed source instead of a report, and --diff diffs it. That's what editors that lint unsaved buffers through a command need (none-ls, nvim-lint, flycheck, ALE, efm-langserver, Helix).

SARIF (code scanning)

--format=sarif writes SARIF 2.1.0, with each result's level (error or warning) set by --level. In GitHub Actions, upload it to code scanning (the job needs security-events: write):

- run: constricter --format=sarif src > constricter.sarif
- if: ${{ !cancelled() }} # upload the findings even when the step above failed on them
  uses: github/codeql-action/upload-sarif@1c5b675653bb5c22dbe9b12b556ec555138e09fd # v4.38.1
  with:
    sarif_file: constricter.sarif
    category: constricter

SonarQube and SonarCloud import it with sonar.sarifReportPaths=constricter.sarif; any other tool that reads SARIF 2.1.0 takes the same file.

Tools that run flake8 or pylint (VS Code's extensions, python-lsp-server, prospector, MegaLinter, Trunk) pick the plugin up once it's installed alongside them.

Without lint.external, ruff flags # noqa: LVA00x (RUF102) and --fix deletes it.

The CLI defaults to ., checks *.py and *.ipynb, and skips hidden dirs, __pycache__, venv, site-packages, build, dist and node_modules by directory name; --exclude adds more directory names (or globs) to skip the same way, on top of matching whole paths and file names. Exit codes: 0 no errors, 1 errors, 2 an unreadable or unparsable file, or a bad pyproject.toml.

pip install python-constricter # once the first release is out; until then:
pip install "python-constricter @ git+https://github.com/ivylikethevine/python-constricter@v0.2.0"

pre-commit, after ruff's hooks (or constricter-fix, which runs --fix first):

- repo: https://github.com/ivylikethevine/python-constricter
  rev: v0.2.0
  hooks:
    - id: constricter

tox and nox, with it in the environment's dependencies:

# tox.ini
[testenv:types]
deps = python-constricter
commands = constricter --level=constrict src
# noxfile.py
@nox.session
def types(session: nox.Session) -> None:
    session.install("python-constricter")
    session.run("constricter", "--level=constrict", "src")

GitHub Actions, as PR annotations (it installs from the action's own tag, not PyPI):

- uses: ivylikethevine/python-constricter@v0.2.0
  with:
    args: --format=github src tests # the default is `--format=github` on `.`
    python-version: "3.13" # 3.11 or later

Development

With uv installed (CI pins 0.12.17):

export UV_PROJECT_ENVIRONMENT=local/.venv
uv venv --prompt constricter local/.venv # the prompt name; uv sync reuses this venv
uv sync --locked --no-install-project --no-build # the dev group: hash-checked wheels from uv.lock
uv pip install --python local/.venv --no-deps --no-build-isolation -e .

Checks (as CI runs them): ruff check . (every rule, preview included), ruff format --check ., basedpyright (all), mypy (strict), pylint src tests (every extension), flake8 src tests, typos, validate-pyproject pyproject.toml, uv lock --check, constricter --level=suffocate --all-scopes src tests, constricter --coverage --all-scopes --fail-under=100 src tests, pytest --cov (100% branch coverage). Everything generated goes in local/. Python is indented with 4 spaces.

After editing a dependency group, run uv lock (CI fails until you do). Dependabot updates uv.lock, the npm lock and the actions weekly.

Fuzzing (tests/test_fuzz.py) runs with the tests: hypothesmith generates valid Python, which must never crash the checker and must stay valid after --fix. For a large real codebase, run local/.venv/bin/python tests/corpus.py [PATH] by hand: it checks PATH (default: this Python's standard library, about 730 files in a few seconds) at suffocate and prints the time, the offences per code, and any crash. local/.venv/bin/python tests/corpus_fix.py [PATH] runs --fix --unsafe-fixes on a copy of it (in local/corpus-fix/) and checks every file still compiles and a second pass has nothing left to fix. CI's Corpus job runs both against the standard library and, from the pinned corpus dependency group (requests, flask, django, sqlalchemy — a tiny HTTP client, two web frameworks and an ORM), the same way.

CI also runs the tests on PyPy 3.11 and free-threaded Python 3.14, which install only the test dependency group: every dev tool doesn't have wheels for them, and the tests don't need them all.

Markdown (markdownlint-cli2 and prettier, locked in .github/package-lock.json):

npm ci --prefix .github
git ls-files -z '*.md' | xargs -0 .github/node_modules/.bin/markdownlint-cli2
git ls-files -z '*.md' | xargs -0 .github/node_modules/.bin/prettier --check

Disabled rules

Everything else is on. Some of these may be revisited.

Tool Rule Why
ruff incorrect-blank-line-before-class, multi-line-summary-second-line (D203/D213) Each contradicts a rule that stays on (D211/D212); one of each pair has to go.
ruff (tests/) assert (S101) pytest works through assert.
mypy, basedpyright astroid's untyped calls and missing stubs astroid (pylint's parser) ships no type information.
typos the word astroid A real package name.
harden-runner egress-policy: audit on macOS and Windows, in the release jobs (release.yml, build.yml), and in the weekly external-link check harden-runner supports only audit on GitHub's macOS and Windows runners; the release jobs haven't run yet; external links can go anywhere.
reuse reuse lint not run (the files still comply: REUSE.toml covers them) No recent release ships a wheel for Python 3.11+, so installing it builds from source with an unpinned poetry-core.
zizmor self-repository (.github/zizmor.yml) Scorecard reads the $/ form it wants as an unpinned third-party action, so local actions stay ./.

To apply the rulesets in .github/rulesets/ (repo admin):

gh api repos/ivylikethevine/python-constricter/rulesets --method POST --input .github/rulesets/main.json
gh api repos/ivylikethevine/python-constricter/rulesets --method POST --input .github/rulesets/tags.json

To publish, add a trusted publisher on PyPI (repository ivylikethevine/python-constricter, workflow release.yml, environment pypi) and a pypi environment in the repo settings, then push a v* tag.

Roadmap

Done:

  • ci.yml runs on pushes and PRs: the checks above and the pre-commit hook (Lint), Markdown (Docs), pytest on Linux, macOS and Windows × Python 3.11–3.14 (Test), and the sdist and wheel, twine check and a wheel smoke test (Build).

  • security.yml runs on pushes, PRs and weekly: CodeQL (Python and Actions), zizmor (pedantic), actionlint, pip-audit on the lock, and dependency review on PRs.

  • scorecard.yml runs OpenSSF Scorecard on main and weekly.

  • release.yml runs on v* tags: CI, then build.yml (a reusable workflow) builds the dists, checks the tag matches the version, and attests their provenance (SLSA v1 Build Level 3, as the build and attestation run in a reusable workflow), then PyPI (trusted publishing), then a GitHub release with the dists and the attestation bundle. Verify a download with gh attestation verify FILE --repo ivylikethevine/python-constricter --signer-workflow ivylikethevine/python-constricter/.github/workflows/build.yml.

  • Pinning: actions by SHA, Python dependencies by hash (uv.lock), npm by lockfile, actionlint and uv by version. Dependabot updates all but the last two; uv lock --check fails CI on drift.

  • harden-runner blocks all but the observed hosts in every Linux job that has run.

  • Rulesets: .github/rulesets/ requires every check on main and protects v* tags.

  • Settings from [tool.constricter] in pyproject.toml.

  • Python 2 code: type comments count automatically in modules that import Python 2 __future__ features.

  • All scopes: all-scopes checks module and class bodies (LVA004).

  • Suffocate: src/ and tests/ pass at --level=suffocate --all-scopes in CI.

  • More checks: gitleaks over the whole history (Security), lychee on the Markdown links (offline in Docs, external ones weekly), validate-pyproject and check-wheel-contents.

  • SARIF docs, and --explain, --select / --ignore, --diff and --statistics.

  • Scorecard blocks all but the hosts it was seen to use.

  • Project files: a constricter-fix pre-commit hook, a CHANGELOG (release notes grouped by .github/release.yml), badges, issue and PR templates, CODEOWNERS and CONTRIBUTING.

  • Per-path levels, --jobs for parallel checking, and a GitHub Action (action.yml) that CI runs on the project itself.

  • LVA005, LVA006 and --fix.

  • --coverage (and --fail-under) for annotation coverage, with test- and annotation-coverage badges this project's CI keeps true.

  • Baselines, a smarter --fix (containers, same-module return types), notebooks, and JSON with comments and trailing commas wherever constricter reads JSON.

  • Fuzzing, a corpus run (tests/corpus.py), an adoption guide, --fix for notebooks, and SLSA Build Level 3 provenance (GitHub's artifact attestations, from a reusable build workflow) on each release.

  • Python 3.11+, the oldest version still maintained after 3.10's end of life in October 2026. Older Pythons aren't planned: 3.10 would add a runtime dependency (tomli) for a month, and 3.6–3.9 would mean dropping match from the checker and keeping a second CI setup with older tools. Code written for any Python 3 version can still be checked.

  • harden-runner blocks all but the observed hosts in every Linux job that has run, the Linux Test jobs and Scorecard included.

  • Stdin, gitlab, junit and rdjson output, safe and --unsafe-fixes, per-file ignores, --exit-zero and --output-file, tox and nox snippets, PyPy 3.11 and free-threaded 3.14 in CI, and a --fix corpus run (tests/corpus_fix.py).

  • Cross-module --fix in the CLI (the flake8 and pylint plugins see one file at a time).

  • CI's Corpus job runs tests/corpus.py and tests/corpus_fix.py against the runner's Python standard library on every push and PR.

  • project.Index sorts modules by name so calls finds a module/submodule import by prefix (bisect) instead of scanning every indexed module.

  • Enum bases and factory calls resolve by import origin (annotations.factories, checker._is_enum's imported_from check), so an aliased or re-exported Enum/NamedTuple/... is still recognised; the bare-name lists remain a fallback for one imported some other way.

  • A general path-exclusion mechanism: --exclude globs also match a directory name during a directory walk, folding the built-in skip list (__pycache__, node_modules, hidden dirs, ...) into the same mechanism instead of a separate hardcoded check.

  • _FileRun split into _CheckRun, _BaselineRun and _CoverageRun (one per mode-group, instead of one struct with fields only some modes populate), and _check_path and _baseline_path share a _read_checked read-and-report-errors wrapper.

  • LVA007: duplicate/redundant typing. A name annotated again with the type it already has, in the same straight-line block; a warning at every level, an error at suffocate.

  • --fix infers more: not x (always a real bool, unlike a comparison, which sqlalchemy's own corpus data proves isn't safe to assume — it overloads </== to build query expressions); a table of builtins with a fixed, un-overloadable return type (len→int, isinstance/hasattr/callable/issubclass→bool, str/repr/chr→str, int/float →themselves, ...); and copying an already-known local's type for a plain x = y (from its own annotation, an earlier fix in the same scope, or an annotated parameter) — a guessed source's type copies too, marked just as guessed, so a chain of copies still converges in one --fix pass instead of needing a second. Verified on the eighteen-codebase corpus below: fixed rose from 12,104 to 13,608 of the same 94,523 found (12.8% → 14.4%), no crashes, nothing left to fix on a second pass anywhere, and requests' own test suite (not just its compile check) passed identically — 617 passed, 15 skipped, 1 xfailed — before and after --fix --unsafe-fixes on its source.

  • --fix infers subscripts and attributes of an already-typed local: container[key] (its element type from a list, dict or homogeneous tuple[T, ...]; the same list/str/bytes type back for a slice; nothing for a fixed-length heterogeneous tuple, since the element varies with the index) and obj.attr (a class-level annotated attribute of a class defined in the same module — not one only assigned in __init__, which would need dataflow across methods to see). Both build on _Scope.types, so a guessed source's uncertainty carries through automatically, the same as a plain copy. Re-verified on the corpus: no crashes, still converges in one --fix pass, requests' test suite still passes identically, and fixed rose further (e.g. standard library 4,431 → 4,450, mypy 1,939 → 1,996, django 2,408 → 2,414, sqlalchemy 830 → 848, pydantic 434 → 447).

  • A permanent, pinned corpus. By hand (tests/corpus.py/corpus_fix.py, --unsafe-fixes --all-scopes), against eighteen real packages, to choose it — OpenCV's Python bindings (the original idea) turned out to be a poor fit, since they're mostly thin C bindings, not hand-annotated Python:

    Codebase Version Files Left un-typed Fixed LVA006 @5 LVA007
    standard library 3.11.16 732 24,173 3,828 0 0
    mypy 2.3.1 195 9,853 1,777 0 0
    pylint 4.0.8 178 3,609 486 0 0
    libcst 1.9.0 297 3,407 1,042 201 0
    uiautomator2 3.7.0 32 888 86 0 0
    requests 2.34.2 19 372 45 0 0
    flask 3.1.3 24 410 29 0 0
    click 8.5.0 17 567 86 0 0
    praw 8.0.3 89 602 114 0 0
    boto3 1.43.99 39 483 93 0 0
    django 6.1.1 907 15,648 2,248 0 0
    pydantic 2.13.5 105 2,998 367 0 0
    attrs 26.1.0 13 336 60 0 0
    aiohttp 3.14.3 55 1,590 217 0 0
    paramiko 5.0.0 41 1,272 241 0 0
    scrapy 2.19.0 179 1,814 389 1 0
    sqlalchemy 2.0.54 257 12,556 643 7 0
    rich 15.0.0 100 1,841 353 0 0
    Total 82,419 12,104

    No crashes on any of them, and --unsafe-fixes left nothing broken or nothing unfixed on a second pass, on any of them; --nesting's default (5) never fires on fourteen of the eighteen, and LVA007 found nothing on any of them, at any nesting — strong evidence it isn't noisy (--nesting's default is still worth revisiting some day: libcst, deeply nested CST types, is by far the most affected, sqlalchemy and scrapy are the only other two to hit it at all at the default, and 3 already reported 124 times on sqlalchemy, 45 on mypy). Chose four to run permanently in CI (see the Corpus job): requests (tiny, so a fast check; extremely stable and widely known; the canonical "makes external API calls" library; unlike the dev tools, representative of typical, lightly-typed real-world code), flask and django (two web frameworks, more decorator/class-heavy than requests; django pinned to the 5.2 LTS, since 6.x needs Python 3.12+) and sqlalchemy (an ORM, and the corpus most likely to exercise LVA006). Each runs as its own Corpus (package) matrix job, from a new corpus dependency group.

    Also validated requests specifically: cloned v2.34.2 (its source checkout, with its own test suite, not just the installed wheel), ran --fix --unsafe-fixes --all-scopes on src/requests/, and ran its own test suite before and after. Identical both times: 617 passed, 15 skipped, 1 xfailed — the inferred types changed nothing about its runtime behaviour. One found a real, if inert, mistake in the "guessed" heuristic: internetSettings = winreg.OpenKey(...) (Windows-only, guarded by sys.platform == "win32", so untested by this run) got annotated internetSettings: winreg.OpenKey = ... — winreg.OpenKey is a function, not a class, but its PascalCase name (a Windows API convention, not Python's) fools the capitalised-name "constructs a class" heuristic (annotations._constructs).

  • --fix infers self.attr and str/bytes method calls. classes (used for obj.attr) now also collects self.x: T = ... from anywhere in a method's body, not just class-level annotations; a method whose first parameter is literally named self has it typed as its class (_owners, by the method's id(), not by name — a same-named method on an unrelated class isn't confused with it), so self.attr resolves the same way obj.attr already did. Separately, a fixed table of str/bytes methods whose return type doesn't depend on their arguments (strip, split, startswith, encode, decode, ...) makes some_str.strip() on an already-typed local as certain as a builtin function call — not a guess, unlike an arbitrary method call, which stays guessed. Re-verified on the corpus: no crashes, still converges in one --fix pass on all six re-checked (standard library, mypy, requests, flask, django, sqlalchemy), and fixed rose further still (e.g. mypy 1,996 → 2,074, sqlalchemy 848 → 1,039, requests 52 → 57).

Next:

  1. Restore reuse lint once reuse ships a wheel for Python 3.11+ (6.2.0 still has only a CPython 3.10 one).
  2. Revisit the disabled rules as tools change (last checked 2026-09-22: COM812, one-line DOC201/DOC402 and max-args came back on; the rest can't go yet).
  3. Raise --fix's auto-fix rate further. Attributes, subscripts, self.attr and str/bytes method calls are done (see Done, above); what's left: a method call on an arbitrary class's instance (x = obj.method(), unlike str/bytes isn't resolvable without following the method's own return annotation, the same as classes already does for a field, extended to methods) and list/dict methods whose return is the receiver's own element type (list.pop, dict.pop, ...), which need the same element-type parsing _subscripted already does, just reached from a method call instead of a subscript. BinOp (a + b, ~5% of the original sample) would need operand types plus knowing the operator isn't overloaded to something else — riskier, lower value, likely skip.
  4. LVA008: a type that could narrow. A warning at constrict, an error at suffocate: a declared type that every value assigned to the name (across its lifetime, not just its first binding) is consistent with a strictly narrower one, e.g. a str only ever assigned "0" or "1" (could be bool), or a float only ever incremented, never divided (could be int). Needs whole-variable value-flow analysis across every reassignment in a scope, not just a first binding, which is a different (and much bigger) kind of check than LVA001–LVA007; wants its own design pass (what counts as "consistent with" a type, how far to follow calls and mutation, false-positive risk on a codebase this analysis can't fully see) before it's worth building.
  5. LVA009: a reassignment that changes the type. An error: count: int = 0 later reassigned count = "done" in the same scope. A real, common bug class (mypy already treats this as a type error by default), but needs the same value-flow machinery as LVA008 (infer every reassignment's type with annotations.inferred, not just the first binding's), plus real subtyping awareness to avoid noise LVA008 doesn't have to worry about: a declared X | None later assigned a plain X is normal Optional narrowing, not a bug, so the check needs to know that's consistent rather than comparing annotation text like LVA007 does; a name reused for genuinely unrelated purposes (a sentinel, a generic helper handling more than one type by design) is a real, if rarer, source of false positives to design around. Depends on LVA008's design work (same value-flow pass could likely serve both checks).
  6. LVA010: a declared union only one branch ever uses. A warning: x: int | str = 0 where every value ever assigned across x's lifetime is consistent with only int, never str — the union is wider than the code actually exercises, and could narrow to int. The complement of LVA008 (inferring a narrower type from values with no declared type to compare against) and LVA009 (a reassignment that breaks a declared type, not just widens what's already declared as a union); shares the same value-flow machinery and design questions as both.
  7. Show how each fix was inferred. annotations.inferred now decides a fix through one of several mechanisms (a literal, a container of literals, a same/cross-module function's declared return type, a fixed-return builtin, a class it constructs, a copy of an already-typed local, a subscript or an attribute of one), but Offence.fix keeps only the resulting annotation text, not which one produced it. Surfacing that (--diff, or a verbose/explain mode) would help trust and debug a fix, especially a guessed one. Needs every inference helper (_scalar, _container, _called, _subscripted, the copy and attribute checks in inferred itself) to report a reason alongside the type, not just the type — a real (if mechanical) change through most of annotations.py's inference path, not a one-line addition.

After the first release (these need it on PyPI, or a published tag):

  1. Switch the release jobs to block with the hosts the first release run shows (PyPI upload, Sigstore, GitHub releases).
  2. A PyPI badge, and pip install python-constricter as the documented install.
  3. The GitHub Action on the Marketplace, so uses: ivylikethevine/python-constricter@v1 is listed (it already works from any tag).
  4. Trunk and MegaLinter plugin definitions, submitted upstream.
  5. A conda-forge recipe.

Release files for python-constricter 0.2.3

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for python-constricter 0.2.3
File Size Uploaded
python_constricter-0.2.3.tar.gz 66.1 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for python-constricter 0.2.3
File Interpreter ABI Platform
python_constricter-0.2.3-py3-none-any.whl Python 3 none any Details

Total release size: 125.0 kB

Release files / python_constricter-0.2.3.tar.gz

Download URL python_constricter-0.2.3.tar.gz
Size 66.1 kB
Tags Source
SHA-256 checksum
How to use checksums
218d533c8f9c05a5532bfe0e02a555b1b1f70009daf69e0a215aeb0e61907588
BLAKE2b-256 checksum
How to use checksums
ce6f3ae2cf68886c6f2e9688c5d383d2bbdf2ce867ba7f400bfb5cb94313bf33
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Sep 22, 2026.

Transparency log

Release files / python_constricter-0.2.3-py3-none-any.whl

Download URL python_constricter-0.2.3-py3-none-any.whl
Size 59.0 kB
Tags Python 3
SHA-256 checksum
How to use checksums
67eb1cf2f2cc2669e1d0ed28ce4015a25e7bc13ac32a74e2ea0ce1edad9dca7d
BLAKE2b-256 checksum
How to use checksums
9fd0d0165e90b3c1ce3190be615ff01956caa8396d0ee6f2bd337ceab5ecc2c6
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Sep 22, 2026.

Transparency log

Release history Release notifications | RSS feed

0.2.8

2 release files

0.2.7

2 release files

0.2.5

2 release files

0.2.4

2 release files

This release

0.2.3 This release

2 release files

0.2.2

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page